Newform data - 1288.2.a.b

Formats: - HTML - YAML - JSON - 2025-10-27T01:01:09.318200

• 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': 5152, 'analytic_conductor': 10.284731780340913, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, 1], [23, -1]], 'atkin_lehner_string': '++-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1288, 1, [967, 645, 185, 281], [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': [[3, [3, 1]], [5, [0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660926216, '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': '1288.2.a.b', 'level': 1288, '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, 7, 23], 'level_radical': 322, 'minimal_twist': '1288.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3q^{3}-q^{7}+6q^{9}-6q^{11}+q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/1288/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1288.2.a', 'trace_display': [0, -3, 0, -1], 'trace_hash': 1684182830674162371, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.009', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.982', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.923', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.012', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.703', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.009', 'prec': 17}, 'traces': [1, 0, -3, 0, 0, 0, -1, 0, 6, 0, -6, 0, 1, 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 0, -5, 0, -9, 0, -3, 0, -3, 0, 18, 0, 0, 0, -8, 0, -3, 0, 9, 0, 4, 0, 0, 0, 13, 0, 1, 0, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 2, 0, -6, 0, 0, 0, -4, 0, -3, 0, -5, 0, 3, 0, 15, 0, 6, 0, 12, 0, 9, 0, 16, 0, 0, 0, 9, 0, 4, 0, -1, 0, 9, 0, 0, 0, -6, 0, -36, 0, 6, 0, 2, 0, 0, 0, 8, 0, 12, 0, 24, 0, 20, 0, 0, 0, 6, 0, 0, 0, 25, 0, -27, 0, 0, 0, -7, 0, -12, 0, -15, 0, 0, 0, 0, 0, 10, 0, -5, 0, -39, 0, -6, 0, 0, 0, -3, 0, -16, 0, -5, 0, 0, 0, 0, 0, 12, 0, -12, 0, -1, 0, 13, 0, 0, 0, 16, 0, -12, 0, 0, 0, -22, 0, 5, 0, -12, 0, -15, 0, 6, 0, -6, 0, 0, 0, 0, 0, 9, 0, 8, 0, -19, 0, 0, 0, -3, 0, 2, 0, 12, 0, 3, 0, 0, 0, 6, 0, 0, 0, -4, 0, 15, 0, 0, 0, 3, 0, -9, 0, 0, 0, -4, 0, -30, 0, 20, 0, -14, 0, 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-62, 0, 78, 0, 37, 0, 70, 0, 0, 0, 18, 0, -37, 0, -156, 0, 18, 0, 0, 0, -12, 0, -36, 0, 3, 0, -18, 0, -100, 0, -174, 0, -27, 0, 0, 0, -43, 0, 0, 0, -105, 0, 0, 0, 51, 0, 12, 0, 0, 0, -9, 0, -48, 0, 50, 0, 132, 0, 0, 0, 60, 0, -18, 0, 15, 0, -19, 0, 0, 0, 26, 0, 0, 0, 108, 0, 0, 0, 0, 0, 30, 0, -60, 0, -16, 0, 66, 0, 0, 0, 68, 0, -72, 0, 4, 0, -180, 0, 0, 0, 78, 0, -4, 0, -75, 0, 14, 0, 0, 0, 0, 0, 34, 0, -45, 0, 132, 0, 0, 0, -106, 0, -15, 0, -7, 0, -96, 0, -30, 0, -24, 0, -18, 0, 0, 0, -28, 0, 0, 0, 72, 0, -12, 0, 0, 0, -108, 0, 0, 0, -20, 0, 24, 0, 20, 0, 43, 0, 0, 0, 77, 0, 150, 0, -78, 0, -42, 0, 0, 0, -12, 0, 14, 0, -7, 0, 72, 0, 0, 0, -14, 0, 102, 0, 192, 0, 0, 0, 0, 0, -6, 0, 2, 0, 42, 0, 27, 0, 0, 0, -72, 0, 13, 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], [-3], [0], [0], [0], [-1], [0], [6], [0], [-6], [0], [1], [0], [0], [0], [0], [0], [0], [0], [3], [0], [1], [0], [-5], [0], [-9], [0], [-3], [0], [-3], [0], [18], [0], [0], [0], [-8], [0], [-3], [0], [9], [0], [4], [0], [0], [0], [13], [0], [1], [0], [0], [0], [4], [0], [0], [0], [0], [0], [4], [0], [2], [0], [-6], [0], [0], [0], [-4], [0], [-3], [0], [-5], [0], [3], [0], [15], [0], [6], [0], [12], [0], [9], [0], [16], [0], [0], [0], [9], [0], [4], [0], [-1], [0], [9], [0], [0], [0], [-6], [0], [-36], [0]], 'ap': [[0], [-3], [0], [-1], [-6], [1], [0], [0], [1], [-3], [-3], [-8], [9], [4], [13], [4], [4], [2], [-4], [-5], [3], [12], [16], [4], [-6], [6], [2], [8], [12], [20], [-7], [-15], [10], [-5], [-16], [-5], [12], [13], [16], [-22], [-15], [6], [8], [-19], [-3], [2], [-4], [-4], [20], [-14], [-9], [-25], [14], [10], [29], [30], [-25], [-32], [25], [6], [-14], [-30], [28], [13], [-2], [22], [17], [-34], [-12], [11], [7], [24], [8], [34], [-10], [18], [20], [1], [-18], [19], [28], [20], [-18], [-10], [-1], [3], [30], [8], [19], [16], [18], [14], [-7], [-19], [-25], [16], [27], [-16], [-30], [-7], [-19], [-10], [26], [-36], [-34], [27], [-27], [-38], [12], [-29], [-8], [14], [-36], [-34], [32], [20], [4], [21], [39], [38], [-24], [19], [-28], [29], [-20], [18], [32], [-8], [12], [-8], [29], [0], [4], [-6], [-13], [-40], [-46], [40], [48], [-22], [1], [6], [-21], [12], [18], [18], [46], [5], [1], [-47], [6], [54], [-36], [-15], [-4], [10], [46], [-23], [52], [6], [-17], [6], [25], [-44], [0], [-8], [-24], [-14], [16], [45], [-36], [-13], [8], [-6], [59], [26], [25], [23], [-44], [44], [-55], [44], [9], [-42], [-54], [-64], [18], [-54], [25], [48], [-23], [-60], [28], [34], [60], [-32], [-20], [58], [2], [3], [-6], [0], [43], [-14], [54], [-1], [-28], [23], [55], [-13], [51], [49], [6], [-44], [-24], [-6], [-25], [-57], [-20], [39], [39], [-20], [45], [-66], [69], [63], [18], [45], [68], [28], [-50], [46], [22], [-22], [-6], [-14], [56], [18], [-69], [63], [-14], [61], [-67], [-49], [-6], [37], [-7], [18], [-32], [50], [42], [-18], [-56], [14], [66], [-27], [-32], [-34], [23], [-29], [-14], [-14], [-74], [-8], [66], [26], [-18], [-6], [-4], [53], [19], [-38], [66], [-6], [-21], [-11], [68], [2], [34], [0], [51], [-32], [32], [58], [76], [0], [4], [-22], [8], [-78], [-6], [62], [-54], [26], [-43], [-10], [-32], [-15], [-37], [63], [-4], [-6], [74], [53], [-58], [47], [60], [58], [58], [50], [-71], [72], [16], [-79], [18], [12], [-13], [-73], [-56], [-81], [-38], [14], [33], [-60], [6], [88], [-34], [31], [-78], [16], [73], [-37], [-61], [-37], [14], [-33], [16], [-84], [-59], [44], [59], [-36], [-70], [58], [-84], [-24], [41], [60], [86], [26], [-15], [85], [54], [74], [8], [-22], [-12], [-56], [-27], [-56], [92], [15], [-51], [-54], [-73], [-15], [-3], [-66], [-8], [73], [36], [-21], [16], [-38], [-21], [59], [-44], [22], [30], [-3], [-24], [74], [32], [35], [-70], [-45], [77], [22], [100], [30], [-20], [-30], [-73], [-8], [8], [-14], [-80], [-6], [-2], [54], [5], [-51], [-12], [74], [-39], [-39], [-62], [37], [70], [-36], [-43], [-105], [12], [50], [60], [15], [-60], [68], [78], [14], [34], [-106], [-24], [-12], [43], [77], [-42], [14], [-7], [13]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 4503599660926216, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1288.2.a.b', 'level': 1288, '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': [3, 5, 6, 2, 3, 5, 4, 4], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [18, 17, 20, 22, 21, 17, 18, 20], 'Nk2': 5152, 'analytic_conductor': 10.284731780340913, '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': [1288, 1, [967, 645, 185, 281], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 185, 'dim': 32, 'eis_dim': 15, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 33555720, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 3, 4, 4, 5], 'label': '1288.2.a', 'level': 1288, '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, 7, 23], 'level_radical': 322, 'mf_dim': 200, 'mf_new_dim': 32, 'num_forms': 16, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 32, 'sturm_bound': 384, 'trace_bound': 5, 'trace_display': [0, -4, 4, 0], 'traces': [32, 0, -4, 0, 4, 0, 0, 0, 40, 0, -4, 0, -4, 0, 0, 0, 16, 0, -12, 0, 0, 0, 0, 0, 24, 0, -16, 0, -16, 0, 0, 0, 0, 0, 12, 0, 28, 0, 24, 0, 8, 0, -12, 0, -4, 0, -8, 0, 32, 0, -8, 0, 4, 0, -8, 0, 24, 0, -36, 0, 20, 0, 0, 0, -16, 0, -20, 0, 0, 0, 8, 0, 32, 0, -28, 0, -8, 0, -24, 0, 48, 0, -12, 0, -8, 0, -16, 0, -8, 0, 0, 0, -48, 0, -16, 0, -8, 0, -20, 0, 12, 0, -16, 0, -8, 0, -12, 0, -12, 0, 0, 0, 0, 0, 0, 0, 68, 0, -8, 0, 24, 0, 16, 0, 72, 0, 24, 0, -16, 0, -28, 0, -4, 0, 24, 0, -16, 0, 28, 0, 48, 0, -16, 0, -32, 0, -4, 0, 28, 0, -24, 0, 80, 0, -16, 0, -44, 0, 32, 0, -8, 0, -40, 0, 64, 0, 0, 0, -16, 0, -116, 0, -44, 0, 0, 0, -48, 0, 32, 0, -52, 0, 120, 0, -32, 0, -48, 0, 24, 0, -40, 0, 48, 0, 24, 0, 16, 0, -8, 0, 24, 0, -16, 0, -48, 0, 0, 0, 104, 0, -64, 0, -56, 0, 168, 0, 0, 0, -48, 0, 8, 0, 128, 0, 48, 0, 84, 0, -108, 0, 24, 0, -32, 0, 16, 0, 8, 0, -40, 0, -32, 0, 28, 0, 4, 0, -8, 0, 32, 0, -92, 0, -4, 0, -16, 0, 16, 0, 8, 0, -88, 0, -24, 0, -80, 0, -88, 0, -52, 0, -72, 0, -16, 0, 36, 0, -136, 0, 56, 0, 88, 0, 20, 0, 16, 0, -16, 0, 8, 0, -160, 0, -68, 0, -8, 0, -64, 0, 0, 0, -24, 0, -128, 0, -40, 0, -68, 0, -24, 0, -8, 0, 88, 0, -4, 0, -16, 0, 200, 0, 24, 0, 144, 0, 4, 0, -88, 0, 16, 0, -16, 0, 36, 0, -88, 0, -8, 0, -72, 0, -24, 0, 0, 0, -8, 0, 16, 0, 108, 0, 56, 0, -40, 0, -72, 0, 24, 0, 128, 0, -32, 0, 12, 0, 0, 0, -32, 0, 48, 0, 40, 0, 116, 0, 64, 0, -128, 0, -20, 0, -8, 0, 48, 0, 0, 0, -28, 0, 68, 0, 0, 0, -8, 0, -96, 0, -52, 0, 0, 0, 56, 0, -72, 0, 4, 0, 80, 0, 0, 0, -112, 0, 0, 0, 64, 0, -72, 0, -36, 0, -20, 0, -96, 0, 48, 0, 12, 0, -16, 0, 32, 0, 16, 0, 40, 0, 0, 0, -64, 0, 40, 0, 16, 0, 72, 0, 128, 0, -96, 0, -184, 0, -120, 0, 48, 0, -88, 0, -16, 0, -36, 0, -80, 0, -40, 0, 60, 0, 32, 0, -56, 0, 40, 0, -100, 0, 76, 0, -16, 0, -80, 0, 12, 0, -136, 0, -40, 0, -56, 0, 144, 0, 176, 0, 88, 0, -16, 0, -80, 0, -88, 0, 152, 0, -104, 0, 108, 0, 28, 0, 48, 0, 24, 0, 144, 0, -152, 0, 208, 0, -80, 0, -92, 0, 0, 0, 160, 0, 32, 0, -132, 0, 64, 0, 56, 0, -136, 0, -4, 0, 120, 0, 184, 0, 0, 0, -32, 0, -156, 0, 112, 0, -24, 0, -32, 0, -60, 0, 32, 0, -32, 0, -20, 0, 56, 0, 64, 0, 0, 0, 20, 0, 56, 0, -8, 0, -32, 0, 112, 0, 20, 0, 48, 0, -72, 0, 28, 0, 32, 0, 224, 0, -8, 0, -16, 0, -112, 0, 32, 0, 0, 0, -204, 0, -12, 0, -96, 0, 24, 0, 56, 0, 140, 0, 184, 0, -56, 0, -12, 0, 0, 0, 24, 0, -24, 0, 80, 0, -112, 0, -24, 0, 0, 0, -8, 0, -4, 0, 80, 0, 24, 0, -36, 0, 16, 0, 272, 0, 48, 0, -64, 0, 80, 0, 16, 0, 72, 0, 68, 0, -36, 0, 48, 0, 16, 0, 24, 0, 56, 0, -8, 0, 88, 0, -96, 0, -36, 0, -32, 0, -80, 0, -88, 0, 232, 0, 16, 0, 112, 0, -52, 0, 24, 0, 64, 0, 64, 0, 176, 0, 116, 0, -48, 0, -136, 0, -40, 0, 52, 0, 176, 0, 24, 0, -128, 0, -8, 0, 136, 0, 8, 0, -200, 0, 48, 0, -64, 0, 112, 0, 32, 0, 68, 0, 0, 0, -40, 0, -72, 0, -72, 0, 16, 0, -80, 0, 180, 0, 0, 0, 80, 0, 56, 0, 424, 0, -108, 0, 0, 0, 80, 0, -32, 0, 104, 0, -16, 0, 88, 0, 176, 0, -132, 0, 80, 0, -72, 0, -96, 0, 160, 0, -136, 0, 8, 0, 108, 0, -96, 0, -16, 0, -72, 0, -176, 0, 196, 0, 128, 0, -8, 0, 40, 0, -8, 0, 312, 0, -56, 0, -60, 0, -104, 0, 104, 0, -72, 0, 24, 0, -120, 0, -8, 0, -48, 0, 28, 0, -84, 0, -160, 0, 16, 0, -88, 0, -136, 0, 128, 0, -8, 0, -112, 0, 20, 0, -32, 0, 0, 0, 52, 0, 260, 0, -112, 0, -112, 0, -4, 0, 32, 0, -152, 0, -40, 0, 68, 0, 0, 0, 24, 0, -352, 0, 72, 0, -56, 0, 32, 0, -96, 0, 32, 0, -144, 0, 8, 0, -16, 0, 12, 0, 0, 0, 24, 0, -16, 0, -8, 0, 48, 0, -104, 0, -8, 0, -20, 0, -148, 0, 56, 0, 120, 0, 0, 0, -40, 0, -136, 0, -256, 0, 24, 0, 212, 0, -264, 0, 56, 0, -12, 0, -80, 0, -32, 0, -112, 0, 96, 0, 132, 0, -40, 0, -112, 0, 40, 0, 96, 0, -120, 0, -184, 0, -128, 0, 256, 0, -16, 0, -112, 0, 44, 0, -64, 0, -72, 0, 48, 0, -204, 0, -8, 0, -216, 0, 16, 0, -240, 0, -188, 0, -112, 0, -144, 0, -32, 0, -36, 0, 0, 0, 56, 0, 64, 0, 60, 0, 104, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 697842
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1288.2.a.b', 'source_level': 1288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1288.2.a.b', 'target_level': 1288, 'twist_class_label': '1288.2.a.b', 'twist_class_level': 1288, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 697843
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1288.2.a.b', 'source_level': 1288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '2576.2.a.p', 'target_level': 2576, 'twist_class_label': '1288.2.a.b', 'twist_class_level': 1288, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 697844
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1288.2.a.b', 'source_level': 1288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '9016.2.a.n', 'target_level': 9016, 'twist_class_label': '1288.2.a.b', 'twist_class_level': 1288, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1831150
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 2}
  • id: 1831151
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 3}
  • id: 1831152
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 5}
  • id: 1831153
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 7}
  • id: 1831154
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 11}
  • id: 1831155
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 13}
  • id: 1831156
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 17}
  • id: 1831157
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 19}
  • id: 1831158
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 23}
  • id: 1831159
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 29}
  • id: 1831160
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 31}
  • id: 1831161
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 37}
  • id: 1831162
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 41}
  • id: 1831163
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 43}
  • id: 1831164
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 47}
  • id: 1831165
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 53}
  • id: 1831166
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 59}
  • id: 1831167
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 61}
  • id: 1831168
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 67}
  • id: 1831169
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 71}
  • id: 1831170
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 73}
  • id: 1831171
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 79}
  • id: 1831172
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 83}
  • id: 1831173
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660926216, 'p': 89}
  • id: 1831174
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660926216, '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': 2, 'label': '1288.2.a.b', 'level': 1288, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEyEjm56DJAAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vGTZWd6Lf1fYodLJp/N0T+rJo5nRaILCKKGEZCGBJJIAY+I1xtfX915fwDY2cI0BYV8M2NgEISGEQEIICcWRRmGyNDlP55z7xMq1w1q/P9ZOVadHYAw/Cez6zJ6qc/p0n6q9n/2s533esAT/6/E39vjoJ+9FSrH56X3Hpm1q7bZ5D9+TPHq4yytfNCduv6a5fM9jKdvmV+ZvvvqkfXLfdkJfsnm+T7ORCiN3r4M9O7/tDoCtwBowEEJ8oz/a39mH/ka/gb8rjwNHzgBcYky62SJMfxDxZx/7c3ZvO8XFW1cIlc+hEx+LV+2Lf27QW/0HWtj45BmfzXOCuD+ku574J08uvff4SYFIhz98fKoXnT67xNZ5ODaMmGqm3jA58qnf+IM9P/fciY+L//TzP/IrZ08e/tMwefLR3vpeZQlACKmkdxY4XGtu+0afkr8Tj/9FDS/weP7AeawIZzx7+JX91adQQsYnV6f/eXcoXy+FJYoTHnvsCZq1NS7f1matqzh+rgZmRBInzLYse4/7XHtJyunzktmphFYj4OBpTWpiFpqCU8sx111q2H9cMjdl8H2fMNQcPi9Z68EVmxJ275zlyqtfhMVDK+hH+gt7Dg9/LbWp95pXXMflF2+/BztaE3LTN/qUfVM+/hfAs8fq2hIW3thsjC47eqRrfv43PmK+941Tl/RGm3661zlII/Q5cvwMnc4yUaxZ7UtS6xN6llZgOddJ2H96yLa5kOmaQomYhSmf3Rcp+kMQcsTJ85phBKeWBQqfwSjmsossm2d7SCSNesSWxS57j86xslajEaYEOqY/NLR7iihJmJldoNHchtIjrt19CU/uXf7l2644c3jH7h+QsZiW2xbVQSx3tqYWvtGn9Jvi8T89wJ976j6kEK9cbUdvePrg8juvueT8laOez3s/to/br1tj6bzHsaU+2+cV9QAWpg0nVwOUtEhh2DqTcuxcSKNuefTgiP5IEPqwvA6XLGjqtYDNCwmvvK7Dc4eneHSP4PljCS+9NmXbvKHREFy0eY2lNUUYwGBkeXzvPM2a5NA5ny2zQ6QAX6WcWVFMNRIkKds2xSwtNxlYw6tvaHBs9RrCZsodN0ztPbOy6aNxIj8vBPe84fWv+kaf4m/o4386gHc664RhOHvu3NK//90Pft7fe/T59Me/LXzxyurUzX/yubNsWjzKt9zQ4IuPTDMw67z+xZr7ngy5dMeA3sDj9KpiFAsCnXD1jpRNsyNWupInD00RJ4Ld24ac6yquv3TA/iMenaEmGsEtV/fYd6JOqxax56TmtiskUTyiM9Q8eVRy466Udtfjsu0RUSx5+rBguRuyZQauvKiLryVRDGdWPbqjhMu3etz9pOW1N/cYDab57Nf6vOol69xw6Q4e2beNpUH/0e9+7dJji3M3qoWdb4qarbl/mSTR6sz01Df6Evz/9fH3Psg8cvQYvqfFRz5xH99ye1sF8ad/68jR2hVfe/TMK44fPanOnOtw4NhxNjen2DbX5PGD87zqxlVefOUUdz7c5JGDfXZtsZw+r9m6aOmfssTWMoo9TixJNs2NEMKye/uI5w9rAn/ApVt8zi55zLQEt10d89QBw9OHWvTjLjs3R7zIm+LUMjy5v8YVOxMumodD5wS1IAah2H9SY4mRNmLHgqVZAyUiPOXRHsCORcXR04Kbr+wyU2/whWcEramYl17T4rHn4N7HDrFjR/dmE6mb9+w9wpmHP57qxvar10dq3+988IM/8cprvXRu+6uwJrGbt+z4Rl+iv9XH30uAr62eQUkl+/1O+Ae//fOjd/7Df/V/pyb9/p/+zRPxz/3DPVcFdjbsr9do+jDqSx7fL/j+1/W47rImp1dC7no04Dtesc4Nl87xpSd8LtvRZ/N0k6OnE265MmLvCZ/pRgxInj1aZ+usYWVN88BzKQ8cgOt3Wq7eIVntCu57XvKaa2OmG4q1bpMTZzTrHYvyIn7gTWscO9tivSu46Yoh11+2hMcMZ5cXOLEEV+8yDCLJkbMBM3XNnpOSK3ZAtyu5YucyF28N+dIjPkdXBrzjlYZzyzPsOQrtUcqNl0WIdJr9R/o8d2iP2nPu8KumZjq3/eY/DW9J09u80Wj0hz/4oz/9H57feyCYmZ4aJkliLtrx98+Z+XslUaxNACVPL61Mt1cO394M1e/u3Xs4efypA3NPPne69fiRmLmFFX72e0aYZBtP7a/x5P6Y/WcHvOGlbV5+VYOn9k1zz9MR03M9vv1lkmf2Nrnv2QFXXZqwfbYGdoDQAk9qDp7RLLZS2iNLMxxx7HzKcydSmmqG17+kx9p6k4eet1x7seDyi1LSRHB8ySNNDZdvF1xzScxDzwlWe31ed7Ok1jjNvqNNjp6ZoR4Iun2P+amEQ2d8fD1CSYU1mh2bV7lmp+LeJ2Z49HDM217ZZlNjmnsfD3niSJ/bbljjzS/xOXhsgSf3GZ46FNOXPf71951j28wizx9eZLW/qTO/+eKVi3Zdqqdb6Y9etPPSr1o5t25SzML03x9Y/L1h8CMnVzl0fG3X+vq+7fPT6Uf3PH/n1LZGt3Fkv2LQVdRD2D4NTx2d4b7nz/Ltt6+xo61p9zSdQcBHv9Rgrtnh+t2aYdTg/mctH3+gzzte0SYMmzx+wGPrXI+5ls+Jc5rOIKXfH9DY5BEbzWxDsXVGcse1A544kKClIPATgnrCo4cVjabH9vmIUQLb5uDGK5Zo9zWjZIbYaJ45Knlq/04CFRL4KXp6xGAEU60BFwOdns+J8ylz030Wppp8/iGfZ45HvP1VPbZPt3jgqZCnjwy5+tI1vufVKfuPznDopODk+YQz7ZS3vKrDNRfV2XOoyfI6nDh7pvXVx462TnYf5s2vqf/py257Y7tVN++87orLTtpk6ajQfz9cmL/zALfWAlxx9z33bl0f6N9+4rmnLlfx59S3vXSNUG9l8/wio1jRH2r6Q8PFQ/jA52fZOrfC7bs1/eE8o9hjENV56PmIKF7j+t0Q+HUe3qv42L1trt21ziuub3DgRIul9SE1P2FhxrB7m+LMimK1Lel0U5q1EYHvsX0h4shZDy0HvP1lmsf2eVy1c53p6Q6febxOZxAwP9Xg8f0+V1/SZW7K4+h5wbYFjzCMmQlTPC2RUvDonlmmGn1q/ojLdih8WeP+py31+jrveBU0vWm+/IjP3pMDrr9ylRsvhROnN7PnsMfR0zHPnbTcfN0aP/i6mJPntnBmNWRlHVbbCSsdy95TfY5+9HBjbeWxxjvf8Np7zp0yB06dFz9urT0N7Pu7nkX9OwvwpaVVlNaXP/30My9K48E/O3b0yCs/f/ezPPjcOsu9Lew/Lvip7+qxbaFBf6gYjHxGkcdgZOmdrvGZhxq89JoVbrxCATNY6/HkwRnev6/HO17T4farYuanGzy6Z4YvPDRky/yQK3cKFqc0h0579IcxvT60ewKtLdvmU1ASKSMGfcmZtRBMjcWpiMu29Xng6YARCd/+8pg0qnPwpGRhRrNtTmBMwtKapjMcMYh9uj2fHfMj5lpDlJJoLYhjzaGTsDDT57brE7bOaPYfm+L+vXB6tcvN13f57lelnDi9mSf2Bew7lvDE4ZRYdHnLLUOGg3lOnqtzbkWyvBaz0k44sSoJwgH/8t0d3v5SxYkzD6uv3Xf2ShNe+5U40ffMTDd+fdDvPpUkyYHW1Mw3+pL/tR7qG/0G/jqP8+dO0qh7u44c3vf/7du3598+9LWv7jpw8DD9YYSvJHGqefaoz7ZNHV56dUwc+ySpxliFtQKN4fhZn6PLhl1bOmyegXoQEnoahebJQ4qz60NarYhrLjZcsT2g2ws5uSTwdUxsFafXPE4vGTqRQGvNpumEc2uGo2d8ZpoSgWZxNma1a7lu1xAp65xZqbN7W8D+YwEnli1X7xpxblUSJx6DSHHFjhghLN2+ZNN0wsLsiMXZCE9Cu68IAti9XbC21uRLj9U4cHrI7GybV794wG1XBBw6vsiT+3yeO5xweCmiOd3mh97Y45qdUxw7M83xsx6nl1LOrsQcXxbsX7K87eXn+aE3pqyuL3Dq/Aynl2D/gdMcPnx0V5qa7xpG6c7W9OxX/8lP/uT6f/q1X/tGX/r/7sffqfXn8PF9WFFf0OmRf2Y7j1y395B5+1PPHKcfaQYjwVo7Zmkt4eya5ciaYG6+zc985zK37m5w5PQcx8/WOXlecfp8yvGzMYeXDLre4x2v6PGWW3yOn51jz5GAgycNe47HpHLIjsWIl15n2LkoOX62wYlzktWOYZgYpISZJixMJax2NJ2eYqYVoYVmppUSBjEP7Qm4ZLNhYSbhzHINTxlOrRgWZyyXbIn42p4A31fMNUGpmPkGrPUEKz3BYssw24qREkaRYrWjOXZOc3wpYefmIbdfl7B9QUNaZ++ROodOWp4/lnJsZcQbX7bGd7xiRE3NcPTMDEdPa06fTzm9HHN8ybJ/yfKSa5b4qXd12DQ1w6mlac4u1zi3qllZh04vod0dMrfpYjpm+uPf8203PPOSa7f8+lpnuLRt25XfaCj8lR9/ZwD+M7/6GVITtny99DvX7Hj4O1995Un53KEW51cbrLY9VruCtXbKSjtiZT3lzBocWBJsXlzjZ9+9yksub3LszBwnztU4vaQ5vZRyailm70mDDge88fYOr7vRUNNTnDzf5Ohpj0Mn4eRKiqcHTDVTzncU/X5CmiQIBEFYY8eix+VbIqanYs6sCNo9zWVbY7AQGTh2LqQ7sLRqgrovkCQEQUqrntLp+xw7DyPjY6zlyq0R3X7K6WXNTNPjkq0JF23q0aiPENISRYJ2v8ZS22emLvCkx+nzPgdPCY6eTTi+khDU+rz25h5vvgUCOc2+Yy2On1OcWUo5t+LAfXDZ8uJrlvjZd6+xdWaaY6dnObNSZ2lNs7QmWWsntLsJq52EUysppzohP/7O0Pzw26/4yOLmuR+L+qNOsPCd32hI/JUe39QAX1ltc3Jd0ArsLy2ff+6lO/33yfuf6bx0rX1Kv+32OodPbeb8aoPl9YCVtma1A6vtlNV2zMp6ytl1OLQiWJhf5+e/f4WX7K5z4twsp883OL2sObdiObuccHIp5Xw3YXp2yMuu63HrleDLGoEKOLcacmZZc3ZV0B9BkhhC39AIU2amEgxw7GxCpwc7N3k0aiOsFSB8egPDRZtHrKxrsE6KrPdglIDFstqO2Lbo0R0ohLIIM6IVely0Zch6X3DstCY1mrmWpBkKAg+SRNAfSc6uSs6sWM6tJQTBELyE267u8dJrBAutGitrLU6cCzi9DOeWE86tJpxahUMrlhdfvcwvfP8am6dbHD87y9mVGktrPsttyep6ylonZq2bstoxnGkrDp5N+NbbjjAzvTV5+si2B//oPd9qLr/8ygeFSH4mjmr4wTdvdvSbVoP/6Z99nJe8+AZ+7mf+r19870fu/j//0wfvvOzc8rFdy2ur8ppdCbu2COLYwxiFRWIRYCUgAYEQFi0svoTTKzUePii57tJVrtwxpB6CpyW+p/B9TaMmqXuSfs9j39GQLz7uc+z8iE4Ss+/EiE1zq7zlZWtcd1mXF1/Z5uhywnJfUA+GHD5taXcaXHuJZH2YsueoolnXPHcMLt9qGUYpw9RH65iZJuw9EaB0iicTtAeDkeQlV/YZ9CXXXZbSGaQcO93k4s2KRj1ifWRZnO6z1uvwka/Ak0dSnj4yZOfWFa6/osPMbMSbbuvyHXdYLt3cJI2nOXJqikMnPU6cNZw8H3PyfMqh84Lj6zEv2r3Ez39/l03T05w4O8u5lTpL6z4rbclaO6XdjVnvpaz3LKs9wZmepDeI2DLXZfe2JXnVztVd12177mJSe4vVV9Rq9dkv3fPlT/G+P/jQNxoyF3x8UzL4l77wF7zqtovURz69998cOHzmX93zyBG1/2zM6hCSUcyVlyzz//1vK9x4aZ0zKzOsrDdYbYdOqnQ0a11Ya6esdRJWuwnLbTixJtC1Ibdfs8p33hFx8WKD9V6L86s1llZ9ltuC1bZhpW1Y6xo6A0NnZOkPE+ZaMRdtMoAg8Cwnz3sIGbBzUXHxVsvWxT7n1kY8daDJTZdb6rU1nj04S7MREUUeczOGwRCuumjIh74yzRU7EkYjy/yUJE4HNMOA544OqXkNbtid8PThiHMrPtvmAi7eAhdtjlAq5uQy+J5FCMvOTQkzTUl3ENDre3T6Hqsdxeo6rLQNq+2U5XbK2TasDFMu2tbjO1+5zO1XakKvxZnlFstrIcvrmpWOYL1tWO865l7vWVa6cKarOLeecMuVZ3jP/7bE1Tt9Ov0Ga+0GS+vz9M2VqfA2/+Kx5cVfWGytpe/4jrd9o6Gz4fFNBfD28iMor1ZLBkcueuSxM+96Zs/yv3vyueOstC1LHVjuCc73Jcv9mBdfeo7/+OMrXH9JnfNr06ysN1jrhKx2PNY6mrUOtLuG9W7CWjdhtWM51xac7lkQPd7+8jZveonhki0hUVRnrR2y3vNpdxVrPUG3LxiOLFFiSVNQ0hJ4UAss0y3L4myM9oYcOhPxzMEAkzR4wy0R2lvnsT1T7NoCn3s44eXXBpxvDwi1IkljZmcgiT20l7CyUudlN3b43FebXLwFHj0wwqPO619iSMSAZw6lHDkZoqXPphnNTENQCwS+L1ACEgNRbBlG0O1b1nuGbt+w3jes9CyDNGXn9j5vurXN218agWmysj7F+dUaKzkZtGG9m9LuJax3c+Z24F7qJLx49zne8+PnuXZXyEpnina3zmq7zvm1gFPnJEZtwejZfz1/0aV/esM1u453e4PBHS++7hsNpeLxTQPwJ5/Zy/T0Vv/E8ad/sL3y/G8tnd4nDp8Q8vxKzGonYa1rWO/B2kBwfiA51414yeVL/MqPrHDjZSHL6znIA9a7PmtdzXpX0O5a2r2U9W5Cu2dY61nOdwVn2oaZ6T7f8uIut12ZsHOTolXz6HRDAk8CiiiRGCMwFvpDQBhmmkMOnLIYG3HXow1G/RqXbfO5/bo+sVnn3senueFyjwNne7TXWtx6XZ8vPRawaday55jln7ytw56jAZtmJV98XHH7VYrVfofDJ2a5YXfEvc8MSEZ1brva59IdQwZJjy88piAVHDqpadU1WkB/IDFWkBpLnADSoH1Du2dpNGN2bBnx0qv6fMtNCXONkHOrU6ys11jruHOz1hG0e9DuJrR7Ce1eSrtvWe1LznYFy92EW644zy/+yDLXXxKwvD7FerdOpxuy1vVZbXsstzVnllJW+5hXv/I6e+uNV/7E7suvef/S+bPR4pbd32hIAd8kAI/iWI6Gw7d8+Ut3XnbybP89d9/3sLdra4DvKTq9xB39TDYMBO0M5GfaCbdddZ5f+pElbrrUZ70zxdJak3YvZL3rs97TtLuKdh+6PUunn9DppfQGhnbfstQTLPUgTkdcf/mAzbMpvb7ljbeO2LXZkKQSLS1RDPc8FXL8fMiWmYRnD4Vg6ly5XXHjFYYg7PPYgT5Lyw2u2dWgNb3GV5/2uPnykJX+OmtrLTZvtjy8R/G9r+7xyB7N9kWP5V6btdVZbryqz1efTZmtTXPNZT3Ot9s8/Pw0Nd3gxVdYdl80BNnjqSOCxdmYc0sx9z7lMYwVUkJqLLu2RHzLrRHdnmLrjOHGyyGKHNuutgPWex6dvqLdk3R60OmndHop3X5Kp29Y71tWB5JTHUF7MOL23Uv8wg+v8eLL3c3R6dXo9AI6fZ92T7Pedf9WuwdKxuzcEnPpFbfFK23v/3nDG950sF6vfVprz3yjsfUNz2QOBwPi0ej7D+57/NfOnDo4e+L4MpdsC1FKYaxFa0kYKFJjsQgEFiksSlqU1DyyfxM/817N225f5btevcrF2yLOrrQI/Bq1wKceeDRqmm5N0hx4TDU0/WFKb5CyaWQYjCzdYcDqUsjJE5YoMZw6mxAEFhD4yqKloD9QCDySvuZFuwSXbrVctK3PKO1y5yOKvQdneN1NATdetcYH7rT4os6ubX2e/qpi27RivtUnVDWi2ON8FxqhZvsmwZN7I27cXeOOG5b5g88M8L0mr73F4gV9vvxwxOceavD8kRqXbK2za0vKwkzExfMx1+5KUcqglQUs9SBgYTogij26fZ9nD3j0hpr+QNEbSnoD6A0tvb777N1BSm9g6Qws6wNY6ivOrVnqU21+8g1LfNvtI66/pMGZ5RbtXo1u36fT9+gONN2BYhBJ4gSEsKRWc+yM5ujpJz0dTP/a1Mzi6u233vzP+/3+H9Tr9f95AZ7GXRDmh8+fuO+XDu+5b9aM+mya9YgSd/KS1Dkj1lisdYaPwFQAnuJLydMHFnhif4MDp8/ztpf2eOnVQ6abLVbbdRqdkNbAp9d3F6Y3lAyGmv5IMxxZhpEhii1xbElSd0SJjzUglcDTgtAXTDcFM03YPG/YvqnP/Eybzz8G9z3hIc0Ur7vJ40VXdnng+Zho2OL2FwnagwHnVxrcttswP92npgOGiWKpE6OM4EW7NfXmiMf3hbzixiluvb7L4/sU2Cluutrnh968ypeejPjiIw32HA+5aEGxebbGTLPOVBNqAXjaoiQYC3uOCNJUECeCKIFRjPuMo5TByDAcGfpDQ39k6A2gM4KlnuR8F0ZmyGtuWOUtL23zPa81JEmLs8sNOr2Q7sCnN/DoDZQ7hwPJYAjDyBLFhiRx520Up3R7pzh84s7ZMyvJr779W1+h19v9905PfeNA/g0DuLVngeiHBstf/KXe+S8vTtdS7Hyd3iBlMJSMYsEoFkgpEEKBEAgBUgqUNChl0criKUPNEyz3a3z4K9v58hMdXn7tOu9+zTrXXtxjbrrOynqd7iCgP/AyYCt3RIJRLIkTQZK4pd7VbrmgUmsIfajXDLPNmG2LfRJ6HDgV85F7Qw6faDAd1Lj5as1t13V4eH+bu77W4pbLQy7a0udDXxEoEdBqxqz3RhgLSsBCq0+n62OSGm95+Xk+/Lk6l54LedMtfaJ4hXufmSNOQ15y9SJvurnD5TvafPnxPk+fqPPUEZ/ts5LZlqAeCHzP3YRSODY1FoyxxBnootgyit2NPIxgEEF3KFgbCVa7IPSQG65Y593fss7Lr06Za9VY69Rpd2t0+wG9oUdvUK4E/ZEDd39kGY0Mozglig1RZBhGlt5IsHR2nWc+8KXFo2v80nd/60vtswfXfv/ay2b+5wD4b/7WH3BmuMAv/ubXfqA3OveeO3Z/ef7qrT1mp2dBKLTy8JRmMJJoJVFSIIVACImSGilTlBTZ8mzwlCXQlpoWrA0VK+0ZPnpPg4ee7XH79eu8+7Xr3HBpm7m0RpIE9IchvYHHYKSJYkWcSJJUkhqBsaUECnxDPUwI/AjfG3FqZcRnHpUcPOlz5OQMygRcusXnqosVN13ZQQVLPHOoybbpOtdcApsX1ljttLh2myQxls8/EjDqS6YbCa9/yZBP3xtz/GyTKy7zOLM+5LnDHjs2zXD9xUs88HSXrz4nGEU+V148y5U7Aq7c3uXQmVUOnoJH9tY5cLhBXQsCLWkEltADKV1QZa27WZMUogSiVNAbCTpDQSeGyCQYO+TFl3d497d0ePm1KVtmA4bDKVbaId1eQG/o0x9oekOVFasJ+kPJcOT6RodRynBkiOKUYeRuICf3oD3SHDu3zhNPfXzx+17x3Huma1uS4fkPfeCxZ+Flr/7ev78A/+yn/pwf/9df5Gd/8rbvefCpk7/xF3cfnZ76nhVuvlSQpCOSRIHASRClUcqiMpArJdBKZc8GrVI8LfC1wfcsgWep+ynToaA78ljrzPCx+1p85akhm2b6vOuVba7cMWQ46HHNxZYdmxWj2CNNFamR2Bzc0uDplGPnLEfOCtYHhk8+UOfU8gw28pgJFVvnNDs3ay7ZBtdc2sHIZX730w1WV6e45UrNNZe2+fJTApF4LM5IGvWEfuwjrQQrUdqnPRScWxVcbeu88qYuDz5eY+u8zy3XzPKP3rzM+z/X5ZF9DXpDj5X1JhdvrXHFlj4v2d3l21/R5fTqKp98IGClH3DsjMepUz6eEkgpEQiMtaQGYmNJE8PMXMx1V/cZjWKu3DHiHa8csTilmG0GxHHImaWQ/sCnP3Kr3KAAtmQwEgxGguEItxKMUkaRYRSZbGWwDCNLP4L2QLA2FMTWsmv2GPXk5PyBA7f+xojL4lffeviP//QjH+Vd3/nOv38Af+qhj3D9LZvEH4aveOf+gyd/79y54/XeCCzgeyNq4YgoUVhACDKNrVBKoaR0ZaNKoPNnLfB0iq8FvmcIPUstttQjy1SYMlMT9CNJN2pw5GSDX/njWTAJIkm46bo+F2+OSBIw1mCtS+JIIZBKoD2ffcd99hwMaYSapi+ZrwsW5iSLs5qtC4qdW1Ku2LlOKlb4zY+3OHZ8mlt2e1y5K2WQdPnaMwHTNY+5Kct0M6Jec1LIGEl7qFjtWVbaKe1ejZdds86je/rsPa6YboW85OppfuQtK/yXT8DjBxv0Bpb1rubcaovN83UWZ4bsnBvyf7+zT6ve5ukjsO+ExPMsSlmEMIB1/1lIEti1OeX2axPS2CNOAqytM4w8zi77DEZuRRtGqpBvg0gwHAmGkWQwglHkWHsUGUYjwzA22fcsw9gyHEE3EnRGgvVIYJMITyYEARw7fnz6zHr4e/uO7EhW020f/S+//Sf2n/z4d//9Abjt/QbUz6jzR86/vaHaH7hq24Hwe9/cZmnVMhWM8P2EJB1SD/NA0qKklzG4RSuF1hZPSTztNKfvKUaeZBQZgihlFFtqsWEUG6LI0kpgFBtGCUSJYBhLRmlAnIbsPdjgqb2QWouDttPGngRfuZqPZgDXbIFWDaYakpmmYm5aszgLF20esWVhndiu8psfn+LQ4SluvERxyXbJpdvXuPu5hHMrU9x0sWSmZQj9AYEMsEqQpBJhLUkasdYLObficeOVNV60u8sDj4dsmhHUwyY37jb85NtX+I1PGJ471WS9Z1jvKpbWNPPTDWZaNWZaU7TqMQuNmJ03RgRegqcTlEqRwgUTFndTxbHi/JImThRxoohixSjOniPJKJaMIskwkowi4QLUSDCKrAN17Bg7yoEd24zBYRgL+hF0R4K1WNKLDV6S0I0NT53q8cG7Bxw/caj+4muSD/hTxhzsLn78u/7Fn6Qf/tW/fZD/rQP8R37hT3njv5pRr7ziyDtef80zf7BYOxx604Jrd68zjC1b51O0SqkFI9IkBzhIlTslFk9ZPK3wtMWLJL4n3EXwBCNfEcUO6HFsiZLUuSJJ5UghSS1pakgNTm8bCnC7FQO0BM+DQAvCQFAPJI26YqoumZkSLM4m7Nzcp9lY5+MPRtz7zCzryy2uu0ixc4vH5TuGpGKdzz9Sp+FpFmYUzfqQZw7B84c11+6w9EeK6y+Pue5Sy9kzKUtrPoNhnTfc3OX+pwccOKVo1CSB3+LaSwy/8AMr3PPcgE/fM89Kx7JzMWWtrZluKaYaHs26R6NmCQND4BsCnaKVk1pSZgRjcQkrI0iMJEkFSSKIE0mUCOLYBfVRAlEsiGJLFFEGkBXiGMX5kbk0sXCBayxYjyXtyGLiEakZsf+w5Pf+zOOux1JqgeHo/QfCt722/cFf+Z7Vf/ji21p/9r7/87+m9a3/+O82wNM0kgu1U9/1F/es/LdPfv5U+IabUkxqMPh86fGA+VbKsdM93vXqAa2WRfbcEqtU6oJIneJrjRdrAq0Yeo5pRp4k8gVR5ra4gBGiWDoHISltvyQ1pKlzF1KbOSWZWyKEQEpQ0skeXwsCXxIGkkZN0KpbppuGTbMjFma6JHadj94vef/n5lgMQ667SHDRFo9dWw07t6zx8a9ZVldDrtysmGlBsx5z7qjk/FqAfzGMYsHClGR6Gg4csax1DGeXQy7fFfLqm7p85r6QuSYEvo+S01x7qeBH33QeT57nUw/M8PypkE2dmMXphKmGollT1GuSWqAJfAg80No5TFKAFBWQ427s1ECaCpKUDOgQp5YogThOHSnEhih/jk1mO+aujAP3IBEMY5GBW9CLDclwxFTQ5ju/ZZW339FjoWm5YucZYruCSeAV1xwMd81e+3vDszu0lPpPcDzzdxPgv/57nyBJzA98/O7n/uOePadbw3QLX3s2ApO4M64MJAn3P1XnzNoa/+Tb+0y3EoKgTqeXonWKpz13RCmRp/EjJ02i2KXSHeMIx0QZKyUJxCmkqXMSjHEBlzE27+HMwO0A7gJXgacdQMIA6qGhWUuYbiYsTA+Yn1nnwb0RH7yrxr4j0+ya8rh0M2zf7LN9E1xxUYd+0uHhPS1qymNhRjHdhOnmiJmpBN/XCOFursHIZ7UTs963tHsJ59d8Ltrc5NYrz3PXI332nWpRD2I85SPEFJduU3zfa5d58RXn+eBdTR5+dpqVnmaxlTBdT6iHklqoCDxB4Ek8z8UqSpHZhw7lFtfDagwF0JPUZKtbZi0mhiR14E5iiBJbHrFzZYYZsPuxoJsIugkMBgk2GTBX7/AT377K//29PVoNiYkVt1wVYWxMmnj0BnV6nWOtKNG/af3b/JP7P/r+7bv/9oLOvzWAt9ttlJI//N/e9/FfGi6fmtsxLRikgl4jZJhAZKyL8E3CehTyHz/ss+fgOv/gFT3uuKHLpvmIbrfGYOTjez6B7zGKNIHv7L0c4HEsiRK37MZJ5mmnZNYfGXNLjKUEt0tSZswNWrmEie9ZQt9QCxOaYcJMa8SW+Q7n2n1+65Men390ltW1BpctCC5aFGxb9Nm+KLh46xDtr/PhezWHTzTYvUky05RMNVKkHHFqyRJoiRRgrSCKNTsXOzxCSqevWOtYzq3W2L095Ntf2ebPvuxz9FyAp2OE8DC2QZxIbrp4jZ3f3eHzj/f50Odneexog20zgvlGSiNMCX1B4Al8z8UqWuECZymKmgyLu8mMxTktqQN8DvIkdZLOgR2i1NW6RHnyKBEMEugmkm4Mg9iQ9kdsn+9wx43rvPWOHm98cYona6yt+SSJJk0VSaqJE00UewwjzeBsZ64+H79n94veqrrd7nubzebfHYCvrbdR2vtH9913/y8dOfj84uYWdDzLIDY0Y8EgFgxTGKaSYRowVB7tyOfDd4fc83SXG6/s8t2v7fOtt7SZn/LpD0MGI5/A84gSjyjWRaCUJIo4lSSJJE4FSSJJU0FqRKm1jaBQJdYxtxQUQaynDL5nCPyUWpDQrI2Yn+4xiAd8+RnLR+6e4uFnp5nxPa7dZtkyK9k057N1QbJ9U8Ql29Z4+uiAT96/wJTSLEwJWg1Bqx7T7qd87mshTd8ihAPWYKR5y+0jPvuQq4lp9wzn1zTbF5u87aU9Ht7bZc8Bn0aQoKRwIDd1hpHT+t/36ja7t5znw/d0+Orz0xxfq7G5JZgKLXXfEGqD74FWAiXdjeyYHPLyI5NJNWPKFS7JgO4IAuJUEKcZsFPBMBH0E0E3hVFkSKKIRq3H2163xne/tsONV6RsmtEMh006XY848UgSTZzm10szjDwGQ81612Nw7tBixEO/dOOLbzO9Xud9jUbrmxvgg/46S6sDlBLff9/9D/yHL9z1lblOe51GXSKkRY9slpgRjBJBlFiGqWP2vvIZ+pqTnYDTD9V56Jk+f3Ztl3e8ps/rb19ndtonGgWMEo8o9ogTTZwBPUkVSZolbNIS4MZmzG3KmjIhbBZUujoOrQ2+lxL4MbUgolkbkDLgS49L/vgr0zx7ZAoRB+yasWyZtsxPKxZmfTbPS7YuxFy0ucOJpS6//ekGyajG9u2C6aam1YBWPUZ4EZ1Bg+mmRQiBtRAnktlAkZiEbuzT7aesdRSnlmpcfUmTH/sH67znTwKOLTXQKs5uDE2ShAwjyea5gJsu63DdJT2eO3aKj9xd467HpjndrtEIFE0fGp7F1xZPgZYunS/EeHWdAaxxN11qBKl15RGpceCOUpckGqSCQQqDxJIkCSYeMRcOeMNr1nnXazq8/NqE6ZomSlzZcRRnwE5KIooSTRQphpGmP9T0Bpr1bpvHH71nUQj+w5VX35wsnTv7h8oPmZ2Z/uYEeBwP2LwQvvW5Zx//L08+el8rifrUQg9IsTaz45RFx+7ERwr8BILUUstPpPLpJ5rzoxqferjBvc/1eckXe/zT7+hy1UUdFqcVrbomin2inCEykKc5wI3EWIm1ThLYIqAEKfI0v0HrhMBP8FREZxCz1In59Y+HHDk/w+N7prHGZ64mWJy3zE8J5lqKuWmPTXOSzXMJ2xb6zE2v8fknDI89P8112wUzTUmzLmnVDY1ahPBGBIFGu2oDl2VMJYORZjCMSYygOzB0e5bVjsfZlRa3XdHj1qvX+fAXQ2qrCi1jB0irSVKfKJYMRh7z0yEvvrTHiy/r8cgdpzm2JPngXdOcX69zciXAV5KGJ/BzGSZd4FkQeS5VcEyeWEFiIDaCUUohJUkTSGKkGrF1ZsB1O931uPmqlFZNkyQN2t2AUexYuwT2pC0pncc+yoq1UsHKUofP3vnlubUO/+Wmm25a63YHn/ybxOTfGMDXl/fQmtqs9jz+R5edOnSkpUWbqZZHp5e65TALlkvd60DuK/BTCBMIU0vDCAZK0tcBg9RjJapx12NTPPj8gEYw4h++sc32uYRdWwfcdk0XLVyLmBBOrrispKuVtrbC3FiEtCjhPHNLAjLhuSOSR/dqPvNwk+eON4mSOk2tWKhZZhuWmbp1PnhLMzulmZsWbJ5N2LowYMvCGvc+O+J3P7PIlmnNQgtaDUWrIWjWE2rBiAf3O9byGg5U1gqiRBJqxQ27Bzz0zLQrfBqkrHc8ltcDzi3P8GNvOsfJ5RUeenIBTwIixgBJpmNHkaQ30Mw0Q6ZbDW7d3eeO6/p896uW2HvC8NmHQx7eW2P/4QaJ0IxGin6sUEIihJgIPLOcgDUkxmKNwRMpU35ESMytN/a4eMuQ7fMx7379iJovadQ8oqhOu+sR5ytq4pGkMnO0NHGqihgpjiWjSGWJI8Uwy44OhpKzyyuc+uRXWo8/d/Kyf/FPv1c98uSB9CU3XP7NA/D9+7/G8yd9//LRl3+wEXb/o03O0agFDEaCkef0sTGuEEhkRUFKCrR0dpZOIFHgpc6uCpWgngpGBoapxyD16Kch3W7Kf/jwDDaJ2bQw5OqLhsxNJbzj1QMuWoyIY5HpbQkV5ibTn1IahBR87J4aTx9qILTm2Ok6p87VCWuKqUAw3bC0QkMrhGZNMFVXtJqKmaZmbhrmpxM2zQ3Zttghtet87P4Wg16Dy7dbWnVFsy5p1gzNMMHzIj7/UMioL/EWXbdoLlEaNcUbXjLgvicMvZGkN0jp9DXrXc3ZlTpXXdzkHS/v8PhzdY6tNlHSAHGmlz3iNGPESNIbato9n2atTqM24qrtQ265YsiJ822OnllHeylPHdb82d11hFIO3EKOX0RrAAPWEkcpOzclvOvVA+ZbKVfstGyagzTxGEVNksRjreORxIo41Vkc5Jg6SbL6nkRm3xNEicq8dlnYus7ahShOMUZw+PgSjflL/uMnvvhg/23fMvf+PQcejq66/JZvDoB/+dETROnq7mONfb91/eJdshZsB0KndZXA0zKr1DMuiSNApa7OWqeOyePU4qVOA8apJTTWBTnGEqWCkZGMUklkPGIDS70Wdz9tsKT8xcMxQqTuIll3kSAzS9wdhRAKISRSKZJYI43G05JmABcvWBqeoR4Y6gHUA0GjJmnWnByaakpmWjA3lbAwM2LrQpeUNX79z0MeeGaRS+dgpp6xd13SrCXUaxGN+oBarU6gJEpmGhwnB+LYYzgQDEYp3ZGiNzR0B8a1zDV8Tp6b4mVXj/jJd57j1/5Mc3w9QAiDtTEmtcSJRxRLhiNXxtocaBqhT70WUg/qhEFMsxZx0+URvhdz8+UJ735NH62SLAlkEMKOi/JM0hkjEUISeArwGY40K2vODXGOSHmkiXRBfqpIssK1JP9eIohTSRS711FSAtuVQ+ekJ+iNLB/89D3y9hvWf2uwsvX+kNGzfxPY/B8G+C/95kepienag08cfPvT+/eKt91aY+e8pDuQpGmelXTpdWslQrgsm0oFsbSoLGLXqet9TLIquNQI9zqP7I3Th+4QREaSWElqNLEJSDPbq/oospQCtBAuU6kgrFlCbQlVSuBBoCH0LbVAUPMl9ZqkHmoH8IZgummYbSXMTY9YnO2xdXGF3/2M4UN3bWLHtGK+aWg1FM26olGHei2lWYs5s2I4dCYg9F1tDeSVfoJhpLl4s2Hz/JDO0GcwtBmLS9a7mmYtpFmf5t2vOc/hM2f5vU9uQ0uNxZCalMRY4kQzihSDyBVF9UNJfaipBR61IKXddTGG76V4OsXzUrR0jRJSunS+yA5XuiIAkYFc0DZZlaVxcU2aSoyRJKaMd5JUFMF9/rp4znMTaQ5wslyFs3JBoKSgHip2boLbXjTg0tZXxfrSzW/3vOsPndj/ocGO3f9j1Yf/wwBfnNb+mbNnf7q/cvanRR9590ObuGKHZmHGZicsq+FWEh+TSRSZpeHJToYtPGtnVzlPNs2zbsaVfxZp9qxSznm5ogiUqpobyDJ5LrDS0qAr2t9TAk9b5xtrQRhIQl9SCxS1UNGsSZp1y1QjZbqZMNsaMT/T56JNKzy8f8SH79nKTBiwqWlo1YUDd03SCA2NMKFZH/HwPnhqb53LFmyme8u0+WCkuPkKy+UXDXjk2Wn6I8tgmNIb6AzkHvWwRi2c5jtfscpT+8/z0J7NYBXGpK4cNrEksS3qSQYjTX1oqYWK0DcEvkfgpwTaZEkzV2KslHFbsEhXGoywCEo9VwbnroTY5I6Uye3XihWbuVaJEc6Byb9O82srslXZ1dzn4DZZ/lJ7kiktuXyn4qpdcwz6kTx5qv1v6lNLvvJavwhE3zCA93p92esPfu4//9c//OeD9mn/0s2a0HdTUaPYopWTB0oCWjofVrgTm8qskCotGTs1FlN5neYZN5tn3iwmy8TlyQprLZXM+9iKm6eq88BWySxjqagUbbnsX+ArwkBRCwT1mqBZs7TqKVONhOnmiLmpAVsX1nho34Cf+4NNHD85zSXzhuk6tGqKRk3RCKERptTCGN8b0h66ikhPWaQs31lqHMPFiU+rFtNPDP2szro/TOn2Je2aot4NCIMmuzbH/MIPtvm3H5B8bc8mLApjDWlqSNKEKDFEsWIYKQaBpDZShL4k8C2Brwi0wfOc36+VdQBX7jqoTKYIYccbdLPUvs1IxGa1LGkG+NSUz46YZPYsMsBnlmMF7Gm2WudEZrMGEO0JklRx/FydWhCg5ao/t2nl/3nZq97kjYaDfx2Etb92Ov+vDfB+r4u1yS8+/uiD/6zXPh3u2BSCAK0lfjb6V8hsDI8SGdhkAW6jrANxatE5Q6fWBaMZa5vCowVrrOsiz0pAqwcTAM9kdxZYupPoasqdXaYzyeRpSeC7AUBh4EYy1AJLIzQ06ymtesxUM2K2NWDrwjoP7e3zb98/z77js+ycdQ5LsyZp1KVj75qlHqbUw5g4jfijLzaRSuFJS3avF4BxS7nH971ujS88FtGNAvoZwHsDRbenaAea0A8IvBZX7Ej4dz+0ws++X/DVZzdhrCQ1Lq0eJ67QbBQZRqErdw0CQegJAt9lNn1ti4ytViYrZstWOFkBeJnyBDISweUSnNuSBfKGMplmwRTJNQqAp6kYW5mL56Jswv0+k8JwBMZKun0BaE4unQ4T+cD/8bKX3yHa7c7PTE399ZJAf22AL587hLH21hNHnqxN1Q2h72OMLWo78gwaZECUAmUEqbWkymJSB3CjMmZOs+8XtRJl+5UDunB1FDmo8xM/8b5ygOc1GPn7yNlb67zuROJ50tVv+IIwcDNP6kFKo+bA3WpETLcGLEy3eXhvn5973yzPHZtn+4xgrlGRJqGmEbr6lVqYUAsiPG/EqZUZPOVa7JwtVwaZaSpJEsWWGUuSxHTi0HXKjAyDYUp3KKn1FaHv4Xshnp7iyu0J/+4fLfEvfx8een6R1EgH8NQSJ2nG5IZRYAgjydBXhQTzPPC0k2iuTsWiJZlMAZE9XwDjTq6QJYUQRXLIZMmhPFucppWkUVqSVAnuyjXN/UkERlhS4zS6EAJjLIPhkPMPPFKbXdx+q/wfmFH+1wL4l770RU6cNfWj++70h4MOjbrET8VExjBPDZdMa4pSVYGRltRSsrbOwVyVIbY4GTaXI/nrF3hvUpRFVFLmPZwiS1vLrFEilycQehD4hlpoqQVOP9drMa16xHRjwPxMm8cODPnZ987wzLEFtk4rFhqGqZqgGUrqoaJeE9RCd3O4VH/EQ3sEvaFPqMhuMqfB8yaE1AjiRNMIFbdd0+Xh51r0YydTBqOU/kDRDRSBr/A9P9PP01y1w/DLP3Ken/od+OqeRWIjiY3JmqXLHsyRLwl849jbK+votcoPMplSyjiZZXkvBPI8KWRzgGeATwvnhfGVN/uzvIozv45p9tpmAM+dLpEUuSesdU3gca/NJz/5Wf8HvufN9S9/6a7+a177ur99gJ86eZxNm7dNf+muT/728lr8CmMMtUAQZEzr6j3GkwjF3Z9nzqo12UpcmLUrgDYFsMum4PzkFBdDuIIiITNwZ0VGqgB4blk6JvM9XCeQnxVYBSm1TF40ayOmmgNmmh2ePDjiZ987w1NHF9k8rVmoG6Zq0AgFjZqiXnPbozj2TgmDhGZ9yL1P+ay3Q2ZmyjR5fk5MplPjVLE4p3jNi3rc+6hxXTRZb6MDuST0JKGn8bSP1jWkNFy1w/JLP3Ken/ody1f3LRIbTZxVALqyV8fkQSyL6kJfS7TOirCkQOn83FC8v/wmzKWKyKvSqtdy4jCVZ2Mqz8XKa0tQ59e3SlQTzld+vVMDwhok0Sue3XP497/9297648ePHVu/aOfOv12AR/1TnD5+/qfi/pHvCsQSuu4BuashKoAU5V2fP2c/U9XXY9/L/76pgvsFmDs7MXlGrtDeMq+gK3V3XjGoFa4+Q1s8zzUWh74h9FNqYUI9jGmEI5r1IbNTbR7fP+Knf2eeJw9vYnHaY7GeMlW3Gbgz9g4ltcCxfxgk1IOIxIzoRgFCSbycwQsNLjImy/zi2KPhD125QBQyk4N8mNL3HYMHvsTTGk/nG9Bart1lec+Pn+Nf/DfDV/duIjaaUSqIUpOxuCCMDYFn8T3Xu6qzuEOrXEbK7PxkXfn5c6Uwq7oK50BnAtzFNa8QUw7usRW5QmDlDWMvcNO41R0L+w+fw8qD37V5y1OH4jj+l3+rDG7tXmDbziPPvPe6af8QdsFmhr2sdMqIDKCiYGxrq7qtepeXNl+53JWBWPmhy6xkecPbkrWrQWW+3GYdOioLplzLmwO2r21RPRh6aaabY2rhiJlWn6lGl4f2JPzM787zxOFNLExpFmopU6GlmYG7Fjo7MQd3LUgJ/YRWI2LPUcs9jzfwpcRTJgviSvmWB85xqkiM5pU3xVx2SY9Dx2ss1CmaeIejlP4wY2Gt0NorupyEsFyzE375R5f5l79juP+5BYZxzSXDEks9q+EOPBzIdb56maK3Vaq0WOGUFBWAizGJOalXSpDbcYBXVtoS4BSxU7EyG8ZWZlP5N0qp40hzFMFXnzrFWvzIdf/2p/7Rzq89dfTYbS/a9TcP8IeeOst9Tyzs2tq86z/V1NG3zk2dR4oWg5GX1WM7g98UlXyisIJM9rUtPmR+E5RgL+2oSuRedUk2uCUZc0+CW1ikym1BBwatMtbWFl8bPM8QeIbATwj9hDCIqIcjZqf6rHX73Pcs/PIfb+bpg/PMZ+CerlmaNUEjFIVX7pwX49jbdwCvBSOiNGU4CAmVu8mkqCz95JpVZIGmdlpejxhF1pUSFwA3+H6K72k8T7qpAtIrAI6A6y8W/PKPr/Ef/iThq3vnON1uMWxIplNLM7GE2cSBwLOZ9587KbZg71yq5AAv3m/2pqs4LxRidlEKCVoF+wSTV2+CctUuY6vqzZC7LHFWhz6IJafWhqjpc2998ul70te9/Nb/w9rjR4W46G8W4FPefghO3xL3nnq7nz5JvbZAnI5QyjKKsjqEdDwJkAO7Cur865KlrbOdJrXZBMDzU1xVhflFcOMecva2mTyxleFArizW0yYbM5EW4A78DNyzPZbWBvzSH9X55NcWWO7NsDAlWQgzcIdOd9ezwLIWSOqBzRjcae8wiICIrzzpsxb7zAWM1WMjxleoNHXND61A8+ob+zy0L6IbB0wVHesGf+Rq1X3tAK6Va8gW0iVosHDlDsmv/dMOn31owC++bxMnl2cYTGumfUEzMdQTCGI3etlXbqCRlweaUhRBcP5cDdSrN6YQRa9IcX1go8ww2QV0VYpVlqdy7SvGgy1r0l2XkevIGmVdQ33j8ZVH93H7dTNv3zE/80dr7f7Rv3EGT9c+hbGamj6L59eJcXvQuHoTTRwb4iJl60BeTQzYQo6UQC9sPzNhQ02ydlWWZCc6Z5Y83Zy7ACoHuLKumCvL3nk66+/0UnwvIfRjAj+mWRugdZ97n0r5/c+1+MwDi0SmxWJLMB86WeIswNwnV9khMuausneM1iMefH6afqTZUs/fzySDZ4GmkcSJIvQUt141IDEO4INYuK71vHN9ZFxwqLPZMJm9J7JcsUUwPy34rlf1aAaned/nBtz3/Bxn4xr9UNJKLA1tHch1Focom8UlNgN5fg5FWTsuQVKy+KRbV0iVfEQFJZCZIKyqwVBl82quI0lz9na16KNY0IsFIyuIxRQf+8IRrrvipv/9XW99xRNLq4MDC7O1/3GAP7nnBNHSf6Fjtl834+/5tzO1owjhIaTLoDpQGbTUqKzgRmeTotI0B7QsfNMiK1bR12PJhDFgV6yHqn0l7IQ0ybNyrmJQSYrJVzlze8rVYgRejO/HhF5EvT7E9/v88V2aX/nDRQ4tzeIFIZubgtkgpRVYGgE0sg77WuCynWGWEHL1K2m2Ejh5stxJ6UU+vlL40hYBJpWPkscdaVazESUeNW/I5ukB6/0mg1hk49ZcrOB5aWbzqczuVA7gY4Grq3x868t73Hz1Er/8wSEf+vwCq0mDfuDR8CQt7WpwAu3KlPNmCJ0nfbKVTxZSpUwAVUllXKxUgc4FV+DiWhcuyqSjltceOZBHqWuI6aeCdgyD1M0/2HN4nQefeOKOerO99eTZ9oFR7zBB45L/MYAnacqmS35q172PPPvRP/rzJ6/8B7ekvPVlQ+ZaHoOhq0iTIqttSAyJdIU4iZHFqILUmAlwi3Fw5/5qkcQRF/S5BbZkkyz7JqsAl+5mk2PMnWYgT/C1kySBPyLwBhw9l/B7n23wifvnOHxuhlbdYzaEmSClGdgs9Z6DW2bglkVSKMy0d+C7G6fVGPHxBzUHjtUIswlcRbsYJcqrcUmaSuJEc+VOePPNXX7/zjl6dU0rdrNHgiiLG5RBa+ncD0UF5F6FUt2qcNG85Ge+t891F5/kdz4zy+GzU6wmNfqepqEE9QzovrTuxslcpmL1y89rbh/i9HmZ6bQbffKcmKwdY/ILAb1g7fw8ZEV0sRFOmqSCQSLoJIJ+kiKiIVumO3zrq9f59ltXuPH63b9bf/nr3pjEq3+pVPm6AI+jCO153HX3Y9sfemzfpV95RHP/k7t4/53L/Jt3r/Gam/sZyLLCHamJpSE1Ep2qohinytrjIBeVu10ULFCcrIK27ZgOzIE9/rttMZTTtaPlBUaJ69zRCUEwwtcjumnEb33U532f3cyplWmMqjE7pZj1LVO+oZ4xd71I38usTiWTJpl3XoDbd9nLURxx4GRALwqYCTIXJ0865a5EnoW1lZqUWNNqaC7eHqGCId2oycAX1GLLKAe4TrNEjXI+tsxLgC8UvCoWpvr82Fv7vP2VZ3nfZzv83sfmWB40GOiQUCvqWlBTliCxjs1lXqNfljfkWc4NTM4F5Mqkw8I4k5dOiSjyJUUhnc3KpI0gMri+zwRGSQJxnzfcsszPft8qu7d5RCPF6rn9l47i2e0LW19yNI5jPM/jhR5fF+AnTp1jaqq50AjVR59/6gnvolnNyZ7Hw88IPnBnwrVXrbK5WX4qJw+0qw2WxkkTJUizSrSNwK5WrhUcfYGHrdiBtgD2mDyRWZWcSh3AtRso5HsxoR/hexHtYcSDT0v++K4WH7t/jmHaxPd95nzBtG9o+JZ6YKn7JbjDQBIEkiCTJi4xlDkTGcB9z2U+j5yx3PdYnSj2CBp2Q4CZP4o0d1aKGsUKz9O85uYuH/5Sj30nGwzCrDHAs/gJeLHBi0wxq9HJCFmWQ1CuiKlxK2g90GyaHvAvvrPPVReN+NBdTR7dM8XSoMFQ+XieJtSCmoQgH7CU26vSunyCoALy8ZqVyeKsKqMX1/ZCDG4n+kCNIDZZ/6eBXgpxmkI04OKpNj/4pjVecrVieWmK1U6Ls8f2etfecsdHh4P2i6Kou/TXZvBdF83Lx5/cd8unPnf3lLARMzVFLxWMWjU++fAM135qyD9755AgcGNNZZIzqrsQxkhMKstA04pslJgYAzcVsOePscIf16PjmLxIKZui3NPdWBatUgdwlRZyROuYdi/mgWcFf3Bni7sen2K13UTWQpo1xbRnafmGumep+5aaT8bajrlrgST0FaEvCH2yCj2TgdsQeE5/Kz1i/0k41Q5dYiXTt+OJk7J+xjkMItOekijSbGoJLt8x4JnjCf3YY5TN+PYjHPhUmkmUSr3PRGdOEetkq2ecuvrwd71mwOtfssaXn+jygc+3eHRPi5Vunbb06fkaXwl8KQgkrodTul3qlChvUiWyst8LMPgGSqoAvgS1GAd4Bu7EZt1bxk1bSE0C8ZCm1+f737rGm25Oaa836QxqdPshg4Hh4PP3Tm27RNwyNXf5nXyd4UFfF+BHjp4OhLD/bX3ldKPmS0axpakta1rSa4d8+ItNvv9b++yYizAmHz1skFJhjOuPNEoW7onN5Elea1wFtS3+V3mMWVSWaoG+kyUm09wGJVM3ED93M2TMUjfh3sc0n3ugySfvm+J8p4EIQ7ymR0vDlOc6eWoemeyAmi+yQ2Ylp5nu9gVBzt45wHWC7yeEfoS1MV95PODYmRrzswJPmkzHirLRt8J2RflpJikGI4+dmwSvubHPJ74W0Ys9BrEg9Cx+4lh8FNvKKqUKvxohx2SKO2TZqGCc314LRrzrVQO+5eYV/uL+Lp99oM69Tzc5364zED4DX6M9hRYCTwo8KfGEzaSWRSEq0nDcPtxA5tm1NFUGR2wAd2whtk6axMZiTQpmBMmITdNDvudb+tSCgG7PZ1QMCdUcPHyusbDd/rde+8xVwOCvBfDnnt9Dr9cnTYZMNRSjxOD1swSAFiyvah59TrP9jghPyezDjgM8P9HuzpWlPLF598iFCqfEeEBZAbYQpnBuRAZwrVN8HROGMcNRyr5TcPS04iNfnOLOR1ucX2uAF6JbHnUlaXqWpjbUPEvNg9Bz4A49N5PQlZnKyiGyP7cZyE0Bct9z7WmHThueORKA52XLvK2k6MUYCqqslhY1026c87UXj7h6e4+9p+oMQkE9EQSxZaTIrD2TsXfupuQWZKlVCp89syKNUdn0AY9h5FGrjfiBN4x4y23rfOGxHn/6pTpHT4fsPVUnWg9IAs1Qa6SSLp0P6Ow5Z/JCulAG/5Mot1SkEzmwnSxJcYFlasnG6Rk38czEYCI0ETddN2BuxhAn7qZNjWIw0nT6HmudPkePHiQMv75V+IIAP3PmtBiNhv/7p/7io/Nz0z5hkDJMYnpnLYOOeyPnlwSPPO/x5lcO8XWUNTNolEkxRmX2oCxsLFsBeN4aBZPJnBwLtqL5bNEoIYXJXJuUIHCTVJM05ewKfPFuzaGTNe55uMaptRqHTjcgCFB1TagVDW1paONcBM8Nzg89N67NgTg/ZHaoDOBkmjsDt5cSeI693Y0VcWQJ9hyt48lxe7CQKJT14GVtTp7xzXsaPa7eOeDyxT7PHk7oJx7NWDDS4CduJqCqANzV3MsxJodxC66QQXnfZKqIU4+R59OqRXzf60a8/LoOp9Y6fOURn8MnAr7weJ3TKyHpwMNITewrhJRupci68iVZxhMK2ZKvugXGJ2VKcWPbbMJWnrdP3WFSsDGkCYFNuPXqiMXFFNOPmZse0BvUWe8qzq9KugPLk0/vm3/Xu77zfz99+vR7tm7desHw7QUB/vijX8WY9LtMtNrYNAdSKK7YNWBuYZk9x2NOLxkO73PNA0KDtjFCGmSSYKTKmFs5YCNLaYLIbEBRoe48uLSlzz3G3BUpolK8ICVOLYdPCJ45rPjiw3WePeLz/JEanVHAKArA81Etj0AJ6grq2lCr+MCBzus08rJZVxceZLLE9xW+L7MbwJba20tdZtFzOj/0Y6yJOLcqGdnANXxIi67YbBMEXoA8teP9jlHiIdAszEZINaQXe/S1cE5HXBaMaWXGMpBSVKLYfNgRAmtkyeSVwUheqorxE/2Rz+aZiIs2xdx0yYhBNOAfHmnz7FGfLz4U8syRkMPHQ+JEQaCwUoGQpLKSDaom8yeamMeyWxYymOfGOJA1i5sKyNMUi7vGiYLDp1JOLfV58nCDp/ek+MSAYbV9rvHII498l1LqPf9dDP7sk19k0O+qo0f2i+lmhFaGemjYPB/xutt6qHCVk0vwiS+GKM/S6yoiXI1HrZ5irRvbQNZhXTJ3VZZMWAvWAZpsfomnLQiDkJY4svSHjtGPnpT8yV0B/Vjx5PMhB08ELPd8RqkP2gfloVoKXwpqCurKEircODOVFR4px9q+J1zSowpuT+JnsiTwIfDJXBOXMve0wfeSLCMaUwsjzq+lfPGrTdrdgJkpgc68+Lzo60IBWX59y1yBZDRSzM8pXn/bkC88OuB4u8HAk06maPASixfnnnXmscvU2YVUZ53I4ncYqyu/wwHdTxWpViSeG/sQx56zUr2Yhh/z8msTbr1qxNvuGLL/hOSpPR6DSPGhL9Y5ctYDIekPNGmk8vJNrM6X3onrWuSEiiTHGMBFYhEm24TAGmqNFK+W4glDkgh+/Q+bfOKuGqfPNYi9GRZrhm0zETUftE555Il94rprrlEf/4svJG//ttf/1Rm8Vm/8Vqg71/utEaFvqNcSphojZpqS6Zbikh19mjXLD//8DB/5Ug0p4cbdMe967dA1DKewMG244ZqYRuiyWGTsfeEAXBTDedp9wVNPa1Y6klooeXiPx6fvDxnGimGsOHPWxwhNbD2M8EBrRKDRUuIrQSgtYQbsQFkCZV0NuM48X10yt5/3ZRbgVlmPpijY2/cMvp8XaKUFe/t+jFIRdz+h+MTXmihfO7ttTH+/MIPnXnia5o6HYjj0eMvtAz75YIcPfWWKXhLSyHS4l+vwOE/K2KJbSAhZACxr9a5o/QrATVYYpx2Te1qRaI1OUgd0laKUG6Q/EybcfkXCbVfEWDHiHa/qM4ydnfep+wMe2eNTCwTLHcVTz/p0+jJTSRMgr7JYBnJroREabrghYn46dY0RqeVdrx1yw+4YKd145h/6uRme3FuDWoOgVsMDPGloBK7H1Dvfvf72ZuO3gB/7KzF4PGqj/VZrz5OfuKLmDZQXjgiDlHoY0agNkdKNPh50JR+9q8b+4z7dkbua+4+GfPorbkqoTS1TMym3XB/TrLmWNF7A5S5u9cx1WO8pHn3Gp9NWSC3dTBSrHTMJjZsLrEFqpJR4UjgwS0sgDb50QPAV+Kqc0edALsqGB+0aAfLG4yq4HcNnZbVezuBp5UgIdIy1EaeWfaJRSDAl8bO0t8qq8saymHlHD1TiEgpmTY0iij1mmood8xG+GDJIAgaJoKZdS1deQ5IntJSslrfK4ne535HFP8aU2VNjsmK4UholSZrlDVS2/1FCnKSo2OUStEqRMmH7vMlWDMNVFw2J7ACpDe224NFnNOt96RrMxz3eC5hjrk68EcKt10dMzRhs6v6srsgmeVm6keBdrxuw/2RA3xhiUlYjjRSSUWyczAxjtbI+uOKHvv/bWqtr3c7szPiU2g0At/E5knTlPU399Ks2zZxBKfA8t3yFwZBWvU9vlPCrH2ryX/+0RTf23DsSkgRo559GQmddcObuvwKwYWx5s0Jg8i0XyGpOhSqDHCkzKysHdZZ2lmQbt+a+ceVZZ530imzrPQpwu7YuhZ+B29cUJaaOwTMW1wY/y456XkwQxJxYNnzwCw3QPp4UZYBZyBOxgcGrmb58SKgDmxusE8Ue7379gL+4d8Dz55r0Uo964jaldVWAtuzEUXlOoBLs5eeyUAKyUuCVH6aohdFa4aVuXoqXAV3JMmnm6saz18Jkg4NStLAImzJfN3zrywyINJOZgMj3z6he/0k/UUCqsNnOHgA2gUiAwFDXKT/xnV2sFPzqH2naA02bOolRdGNFTUvOdQcEDx591S23nnpPHKcbtovYAPD1s38KQvoi3cPmhVW3B6M0aB2jZES7H/ObH63xW382xXoUOORk4CtmpFUeqUfFJsk/cFWjicrfy1/L4t8TUhYtaEqAJ1xaORCuWtCT7mstyWoqsu7xvJBIU5mDQrYzW9lVXwJcFrIl8G3R0ub7pjI4J8HL2NvXMVJGHDsrWOqECK0JJGPyRFY/1sTlrjZ1VPVxkiqixGOuNWLn5gF7z44YpJphCkEq8FKLl2Q6PKFwlsoUuhrrVMjlr5u0m4/iEBVpZNCpIVUSpfPty1VWrJYilclWClNasxnIRf67cTVJIpuWlRsEuRNWVIGO3+MX5L1itEg24GjKS/gn7+iQJPCf/9Sw2k3piJCOckyONHgHj/Of//DTfmo2/oMbAP67nzoCCNbP97nt2iG7tjlJIpTl5DnJn3xhms892GR9lO2XISYAfgGQX5CxK59IVEoyEQJJmSJ2U6nAExZPZKDNJED+uvheRvZlKShFg62vhAP7GLile/ZzoOfBZwbuvPtHm0KieNrpU9+PSYj57IM1zi3V8KYUfrWGo+qgTH7qsdppMREEKoYjN8H2TS/t8eDTQzpJSF9raokhytLpSpYFUXnBmRCGsnMoDzTHs4fO2TLOf1bud2ojSJRApzLbxc7V8iQZ0MtkmikSbFKaSuIte52X8Bbgrqb1beXy2xdGRmYLC2mQxmCMphXE/JPv6HH5toQ/+Xyfk+d8hNSAYMvWiFffBHV//YL/7hjA//ijX2B+OnzZ//v799/8tccF2+8OWWwNAQNCcH7N5/CpAALl2tGFKo9K/161T3LjBxjvEMkzYnnSIE8kaCisNpWljN18k1LjqhzY0s05zEchVIFdzEFRuH7ECwE8Dzhz3a1zWWIzvT1eS+57Mb4XcbZtePxgDbSPzuSJrhQo5Z9NTCDcZXArVXdFX6osPPE49rjxshFz0wPaa3X6iXL6NHGfRaXWHXEV4C7RVlY4yI01P8YWU6qMMqRG4BlBqiSpMqRKkGQgrxav5eUQMgd5BdR5yYTAsXoJ7CqbU2H06pmoAqSS88iOVKYkqUfLS/i+18e87No259dddSMG5lqSbQt1OqOZm4f67S/7tn3vemDXFW+4MMCTJGG9M/zW7S17Q1iXHFlZ4PCZ2PmTZFTaynSxkIUHKynLKmV+B1bAWwV4UTQ1BnA7BvDqyDVVAXnOWDqvjchqwPNST9dcnHeqOFmiiu6VEth5861j70xzawq9nVuCjrFLcHtFdWKMIOYz9wc8+GwTGWh8Kdz87aKCsGyjKyv+JrOZotIEknviymXshh63XTPgzS/v8nufaRKlAb1UEqaWUUK2clWr/kwm58zEDfVCTA4mG4pqjCjAnSqJUsYxupTZaAlTKUWu1gDZEuRj2eacyS8EcjbKFpG/rvwdYZE5kws392UwCtgym7Jj0WSfSTKKfE6drdFLGje0Foffao194IIMvrJ0Bj9ovf7I3s98bxicIhECfIXwJXkmVmTOgMrAqCToCXCKyhsdK3G9EMizb0pRuSGqKeAc5JXRBjlzuy1I8q/JGJyiDWuMxbNuGE+Ng9uNU5hg7qxn08/a2zydNxwklSMmIuZPv9IitQGqyF5WA8yyrzF3NsY0OCLrRM9linT9rGkebGoEHu96dZ8/+uyIdRMzSEMGqcBLKFhcSotMRFF05uzCydojWbEmRQXkglQ7R8OB25BqizJOrqTKolJXOOeyx7IoTS4tymp1Z1nGnO+kUWSki3T++AStCwFcZPMSZWYbV//9KDbFv+VCO4nnGR5/7jTx0e73fs+3veqeEydOfWHHjm3jAA/0AIG6bOfmc5dON48Rp9vxBARKIKnWHthCRkjGGWoDqG1ZTzIpTarzN/J/d7x5ePz1pObMQV+d7aGUKLV4VnE3NuwmA7ZWonRSCjvQddy7xmSbMXcZYOoKewdexOMHJQdOh1jloaTElwY9WadRWaomXZT8KFr4jKj41Q7kceJx6daYqy/p8bX9NWLlM0gEoQQvtehEZPIt68JJMh2OdHJhQgyULC4q0qicU5PPhNTKZODO2tmUrYA7rwWyWZlAzuQUq0cV4EXQWalXEaLK3hM3AVRuDjbcQJNZbq0M9dqQQydPspp2Lv3WXnzZWjf5wgYGf/DZ89TCHl+6r8fHHwyQUtHULmGiCkatMPlYMVRFa1ZYmsr3SoDbDX+nWMqpvBZ5eeb4KIhSsgjXPS9KcLsgUxTd4roAtxwDeHX4j+u2pwB2ka0smDvF1y6x47qCYiwxf/aVOisrNUSgne9evQknpEkBtDEfvOxPrNZxF960UcSxZn5W8s7XdHn8YItRGtJXPrXUafG8nFVJMnDna4XJPPG8MDeTKhN6fKwZfGySr0SZciPe/LUDshzT4vm26w5wcozB5QUkyiS4q8Hn+Ovy3ylVQHVVcO/HqAQhPN76sjZp7TBT4QlC1dsoUf6vX70TpSRnzq/T6WxiMRSEyhQB3SSAJ1uXJkd+TW54NAb+C7B+eeezASTl5KWyKbY6c7AAeMHiuVyRKD0OcF9nA4C8fOvALMOpLV6RijfZ63Ts0Mp17jx/DD56V5OR9FFSZdnL8RtxMoM5GXBXO5fGdXimxbOt94JU887XDfmDO/s8fbhGrDz6UuKnJnOPBDK1lfNjXXuZqPrPpWatNphUmTw1oAsL0U39VVlJgEptOawzm0gr8kZlAcmEHi/BWQXmOCuPY2IjyCd/tvzeePNLLDVRotk6q/BrzxOdP5PVuFQAfuzEKS7avrX+j3/mv178SG+FoXBL9CQzVx/ihb6+ANCrwB57oxUHZeN8k+prUQBnchyyrDB2HmTmU5u0zjd5zbS3mgB3nr738sZk42aGFC1ieU9nkh0xyos4cErTjXxQOpMndqI8duMKNVllV53BPZ6Ecd04ZeJH0/AEV2wb8vSBiNQEDIxPmLqabZ1pcCXcRq4usZQTjyEPMksmL6s68xkluphw4L6nDKTSAV5lu1NIU04IyKdrpXl3f2EAlMFlEXhOXO8ctBvlySSg7BimLgDByr/r0xEBuhNQn7n04stv/Of1tdV/05+Z3eIAfurUWdrr7dfduHv+pw4+/wypJ8qWfyb67YB89uDEdzcgfzKYuFDgKeRGqZLXUFcZXBZBZnWoZg5yyhppVQF18TpL8igyL9yB2wG4HArkVeVJlb1V1tfpR6x2Df/5z5usDEJE4Dl5Iu3YqlIOzrnwhRkDOtk0gXwaWMHgzlFJEk2rrvmJb+/y5cdbrIx8IqkZSImf9VCWIx/ygL1STy8MeRmtxWTgNq7Cc8xZERmD2yJIz8GupMgY3EmitHBRMlDnY5hFbgzYsRW5kChV6TFBgFQk72RacOybBR7F2PlLDUSxYFtt50+dPH7ggSQe/EXB4Hv27CUIfM6dOcFU3WDx3E63aXWya7WRdBLxX+fxAvImZ+48yHQ/I0oNXmHDqjTJO2QKYEuBVOX4MVUBtZYSnUkSXQA819ymCCo9bQpwezqvvxhnb0/F+H7ER77i8dyhGkgPKSVBXhoryotc7BGfffAXrCassHmxU0VFpiRGZps8eVx7aZ+3vrzDH9wZYnTAQPoEUhRJHyUFca572cjkosrk+Tjkyi4O1oJRoKxbFYwVDtz5lDADaTE/RZQAr8wXd59fZM5HRXLmAKdczcakyASAqwRpL3jOqnGE20EiSiSdbkosT9Mb+iSxG2uiAWamQgI/YHY6ZKbldsYaRW66UK7PqmMAykCpeluNs3f+dQlsUflAFllJDE1KlDKwzAEvClnylwNclgAvEj05wK2bk51JEU+VbolXGQ5Uam7H3p52U6vW2oZP3d1kuR1AmLknohKMvYBEQUxUUNrKBZu07XLLMO9nTd2WfDMtxT94VZ9PPjhkpRcQKc0glZk9KTL3RpTN2LIM6nNgW1t2/ZiCzcv5kTp3VlT2WmZfS0gVxXmvglxIUem+z6/XBINv6OW0VGc1vlDi206eq2rCyuZTCQRJIhhGktUO+E3NVOwRx+4v6pVzB2i2pnftff6Jnzy0/zxTjYDewG0pJ1NRzu8uTkR+gmBsfslE61mVqceYnPKCj4N6fLJpUYmXB7ljwB6f/V3tcHHD3RkHd76zQc7cqsLcGxg8HzdRjpzQymUujxwV7D8WYggQUhfNuWX14LjEKl2N8ipWa1HGL1w1ZV86Ksa4YBOruXJnxKVbhqzsrWFT37F46mSKrrg4pT1XLfTKGwxkWf5kMza3pU9upCisw2pso4y7aYwk0975dSnJSFbAPO6HiwmpMn7DX3CFuwARjJc3ZO1v2SZXg5FgMIJn952mPnPJT956y8uefPqZ/Ue1p0cI29/crA1fL815hKyjsoEwQlhSmc8YnJAr+azuCrAnC2iqb3xDsClERZpMgFyO63BZMPc4sItnRTYKuOqDV49sS2tVBXcF5Nl+9V5WGpqzt8q+1jpGqZjPfq3JgeUa+KU88SrW5dgNy8ZxERsuYoU0yoAzz2iOa/Eo0lwyH/Gm2/o88nwdjEeSOi3upVl2Nx2XSiVz5strbhvK7PqJMtjMX8vstcxWFZkf7tyn2YohRcbqhnLlKOIPW7nJbXEeJrX4ODbynq78f2JCLVQmFFdyB47FncpQSnHo+DKXX2Nev96LNneG5qjedwqmmvDQ85YvPhaz0EoAmw2WcR9gfNOncv53FeDVNzPJ4lVgV5m9zPSNa+0xFs8H2k8Au2BzJSpNuBVwZ/MJy2072AhsXQ4IKka8aZOBPHHyRMXU6hFf26f4i7sbDIY+1DVaCjwxLk0m3/9k/HEhlhrT3xOWYdUXjxPNVFPztlcOufPBPg/v87ENj0Ea4AuKG00Vv7+SFRyr4nQgr1aBuOAzu8GUY/NUOj1uKqydB/UmCy6lEZWdIUQl0N1oHpQ3fjU2qK7yYuyckIEaxocGTYLcjQd0f7tZs7zu1ojbrxtw0eKQYWuI7nUNWhja67C2LpiuGTztlnlpnb4ay3plK10ZeNqx5XbysZHFK8tVcRLGJ5qWwaUoQFPMy1OV3RuUyGpTSnCXIM/LZi1alyOUdbYJk1bjQPcKtnaHUi7A9P2IOEq586t1nj9eB89DSJWBKkuCVYJLIcdZfNI1yq9iwdrZ+bOVTKYDuSy0eG4XRpHmqosS3vDSHk8drTFKfFLpMTAKP2XiveReOBMM7p7txHtB5SAyGCVQuSSQAqtA2lKPFyuqBGkqswxNRaIUY98qQecYoL/OjV94GNUZ8RXmLoLxEvxCuErQ+SlNI1AoYZ2EvOvOz6G1Yn29w7Z5P8v0lX5NOU+uIlNMKVPyCHxMnVR9HjZ+oJydSzelwtr5yjEWYJY7EJTSpGIVFoydA7ycnFpIlIy5HWPbgql18Vy+9rLgUquYwI949pjgCw/W6Q98aHhIkVcOUrEHL5DFrKxQ1TOR16I4dAnGB8lPJHwqBVhR7NFsRrzh9hGfvHfIU4cD0D5D4/ZI0plWVikVmQAixfnKQrg5DVV/QpUA0opSukjH5jlb5kG+sQ7s0pSJNmFKN6W4lqYSbJpx23Q8H/J1AF7dRCGzUdMKqFNTWoX5mV1ab/DwI88ThMcxJkVHo3XiSCBJmJv2UEoWEa4D8Pi0/vwunhzHVbDB2AIsNixF1ZLa8gOLQqKUultUlj1RanA1ns1UKqswzCoKXTtX9lpX54NPgDs7vHwKbVbgr1XiDh3jeTGJTfnMAzXue7YGoQbpGpq9SgnvWGls9ah+8QIXctyCFcVu5Lmjkho5BvTR0OOOa/u86WV9njsWkiQeVigGQuOlFO9JpCWLC6q31kYmrw6xVyqzDKVjc/e1QBpR6PDC788ZPV9tMwYv2HsyH1D44hVH7YXOS2V1Gd8FpLIFTnbkjygW9AeK3qiP1jHWWvTirIcQwv1h35XFjhfiWNLUFIPrU2Op7sggx4LNDQo8e1WyNROgLlhuzGYSlb12xIRUqabpK0e2Y0EJ9Mqhy01Qc0B7FVDnzolzTNyzUjG+F/PkUclHv9IEfJAeQqiii0hlaetq1rX6eUp1KSYAVpLBmA6vzlC3breMfDJYuU+8xlrNu1494ItfHfLoITdJIDaKfiqygq8MdGlux1USKxMEZK11LF4FuiP2kuRktp9PwaaVzLLNfpetxE2m4uTIEuD5doB/FQbPSdNUfme1XmZ8RzdbYXWDN3LZaGstem7KvdFo5ByB1Lgtl8c27pTKJX2kRaQWI9zQlvwmGF9WNmK8uMzZ11J8PYCLEuCyZPNqodUYyLPWtHKzKZuBPR+AX4J7jLUrz3ljbS5VlErwvIQ4Tbjn4RrPHKyB54F0waUvbGVybDWwGrc6x8l7HFq28qJogKjUiIxVF6ZuBJ4rpdWMIo9rLh1yxy2OxQepY/GR8Bka0KkoA780twuzSCyt3GRkm4VVmLwAmASrLNIKlMVlP61AWIEVWXxWkSoif560Sk15PooCvf8ugFd19/hmsmm212qSWdlpaoniFKVdHbu1Fu3r7A34MGUNcSqIsz3F3QZTgiRrkUxT97Np6pZTISxybDm5wDuufJgqk4sJkOdsPQb0av2JoNh7p9y9OAP2WMNDuXWJUhPgrgzFL9wTlaJ0BeCZRPF1zIEzgg/c2WQUe1D3MnlC0ZqmqrsEV52TsaVqDNuVqzjhPlVkSrmlS7mBwLgW1zQCyfe/oc9n7muw75S7+VKj6KfKVRmmWfIH4aRBmo3lmFhJ8lW3CnBZ2MCuzsdaF0xa6TaqslI4gJvsmplSspRJuo2JOzNx/Sfu+7FzkxPn5KZlxU4QqSVJ3f6gSeI2w02y7RPD0BAIJ6vVh//wFzZNt+yvdtaOXSmLgv2ySyd/J4VuqoBznImrcqJyiCwwzDqAVPFzMrP28nHA2bOSY5bf5JGPTKh63MWzLnW3c1DGwV3dq6cspsp2f9Bx0czg6YhURvzBp+v80RemIQhAhSilqStLTdlsHAVFg7NXaY0rM6nVRJSknAzLWIBaxhKl7ZjftEKSNf6WvZBKWoQ17NgccWpZ8tgzPolwkweMUAjhSmnH45wJqZhfTTu+ylZXleJGtBWPmtI5q0qs8gYpd+koNzQof2ZsKP7Ez03GdWNa25aqIgd1DugoNkTZ/qL9oaXdM+y++qbNN93yii/pg0f2TqfR+Tdunj3HameO7iBnQ4mIxm8zW3kW1mLA7YM04X9vIPFJe7B6U2xgcsaZe6wO3I5pb1mAoZQkqqK9VbHTQ2UjKmUnJEleKZizd4ynY/aflnz4y3Xc/BXH3kXnfv77BWPjhcdq5sfIoPLFRO6gLBiq1oaUcwVd4JllNa3EpIpUZVo81Xzna/p84p46e056ICOskAxTD40oa0MEiDS7Qmme+MmhWpFO1n1tsaUGLxg909vWyZZcd0vrfoc1mT+eaXIzJkHH6/2rEuUFCHzcwbP5oNIS3HF2RNmGXaPEbRbQH8KxlYjd/eU3rq3um9YPPdOkpvtsrStqQeJMc6HczVwZllm6JwJlXR8fFTeleoePvWmRm/v5hxrX3mMB2kSiQI2BfXwfmVKDl1sF5jurqQlwu4msJnt2dqBSBpX73SpByQSVyZNUJXz6gQZ7DpTaWwrpvO+ig2bi4lV09/jXYsM5sWOvxxuQxzzxykQqbYSrTZFlCj+KNVddNuItL+tx6MMBUapAaFKhGQiBTjP7jjzQzR2Vik3o6CoDeAZ6KyoSxUkTa22mxbND2DLFL8BIB3xjNhbLCSEwEzZh1RdnAjfFOyss6pzNrRtclBkfcWXr8nzrxX4k8LTlkkXBVdtAv+hyQTKSDNsKX6dFVsj9ApGJeFCpcDUIxqVtBS6TZbHYSp1F0ZlUfIDxZTIHfDUgGXseywqOs3b+tZIUBfhKlsxdAF1VmbzU3SoPIvMtTqRBy3JovlIpnhdz+Iziv368xVB65BO0yq75bAWp1kCLKlOL8av1Ao/x5TtzM/Jsna3UplRS99X6lNRoktQjSBP+8dt7/Pk9dQ6d1qBiMJpYeAyEQKX5uc0L3CoXaIzJs5sN0PkNl31PWpfZttiMtXNP3Iyxuc1+j5Hu7+QsPukubUj6vBCTT0iW0qo2ToMnJbgHI8sghigBZeH4WYlQGu37bXy1TkO0SdImSmmkdB/c7eMoCnuneqcV50iIfLvGCRBXlqGKPTR2d8MLShMxwdp5IiWXJA70ppQocpzB9Zi/nYF5zO+uHNKxuKcjOpHh9z7Z4tT5AJTOrEGZyRM75nsXr6usNMZU4gWX4Sqbl+xdbq1YgjtfomVxFM0QUpEmmm0LI37krV1++QM+7dgFBNZKRkY52zDN34eFtGobliAv/+/+RGUIs5aCuVWe2czYPc9y53UrBSll38s/u8mNA2k3nJscFwUnVGh8PAC3ldvR/b4kdQw+iCy9EQxiwSAWrPYFa1HKvEnQH7+/weaWxx27B9RCt120Vq5hNYolPTlRFFQAt8IAVUAzDuixJWnikJPgrgB7nMk3snbe+Jr73wWTa5MxuimkiZMjpiJVcsZOimetYnQQ87HPBPzun7UYGc/JE6EKeVI0FVfe26QlWNZbVGF9YYiPJ8gqGc0C9HnK3i3NeXazSOEbtxV4qBN+7B099h/zed+nnRYHRSokQ+MCTplSMHhZgJWjqwKeil3pQG0LWWqzvIcSFXYV7meEEBW5kvvieWWhW+WFrUwaqA4Fqkq5r8MGud2ZxxXGuC1eukNBeyjoxoJOLIlsxO1XR9xxwxD9ymudAzbbSgnDjqs/jn26gwApp1ha9xnFzjJMs/rwSZBPvrm/FNjZB9sIbIqqtGpQ6Zg726K7umWgqroOpiJVcjBXmFyW1YGF7i6e3azB1TX48y/XWRvl4HYA96TT3lqMy5PxlUeMfbYxWFcuWlVrF8tw9gdjVX35XqKmWkpbqROXEmUUxmiSVDPlp7z9tX0+8UCdla4CGYNRxDg9PllduHFNvjCTuzxQmRTK61MU4ywu83hMOOOhytq2wIMdlymiyuQZu9tMFWwAN9mGW66m3RjX/7nUsZxYk3SGgkFiSUwKVvHUwTpCtNCpWKEzXGNPp0cYuAlVTuP5dIcpZ5Yb9IeysICKy5QzFWLD0lzWmJRAvlBANsbYY2Avvy7HRVSaXuVGSVJ+rwrudCzAzIPMfJ8bXWFvr57wmbtDHn6mhqlob9fUkMuT8XqTotaiwt5UPl/VCr8wiWfsWayOld2f7UQtRjXotBJlS188ST20Sbj12og3v6TPBz/rg4pASKwQjIxGCeG2ICmadktQT8qV3Bq01tm1ObMrWcooazOXxrqb21rrpIoos5pW5mAvGzFEdt6qsVm+U1xZWWrH8gf5iiiyldxTbmsZz4OT620WdcwWmyBIEViMTZlubUX4En3onObIiRqf+sImpNBYIUF5BL5ia1PS1AmtOvi+zGZjVDZVqgCVSQBzAYdhLJisdoKXH3wsuBwLMivbdFcALpVFZyPGpMwcE2kzXV2RJLljIisSRTr3JPBiDh2XfOAzTc52fbfftXSD3pWg3LHhAkHxhdhIVPH8dZbcsURPhdmrzcjVYNOOdd276+Ge3fYnmxopP/DmHg88E3DonAQRAwqDZChkZROpDEQZqMXYXWgrUtQWUinX4VK6zahyQOcDjIpCLJE5KsL9TA5MW9QZZXJFlBlWazeSpMgKvPLzN5bRlm5jgl1bJDdfa1mY6VILB3gqRkrLcJRgggFCJehkOMfqmuWxQ1uw0m0nV9eC6dCSThl2LDgmBLdqaxwCNzYrvDCYJ9n6QsAuvlcJJuUYe9vKMxWJYi7wOi20d87iOh8HrBKUTNGZLej7MaPU8NsfaXHf4zXX2ybdQFEppSu5FOX8laKZIH9vTFyYCSav4lxMgHs8g1m6FrkUGC+frZbRunYzkzsqqSGRGpVo7rgp4kff1eHnfttnlEiXgTKSJHNVpBGV9+ZAXh3NgHUtafmbVLkRnidwMjaXMgd91tBgSyDLzEs3ee+mKDPfefA5RoR2I1FI4SpVJRTDhvOiOt+DemhoNSwXLdZZnLW0Gh6BH+HphMHQcLIzyzCZQ7/0mj4mHRA2EgLlM+0bWp5hKjRM1dzS4HL/bgCMFe42HZMmciOzbbT/LHLDz9oK+Ksbp2bgyYcO5VvyqQl5Im3xvXxYpJQTwWUhS5xb4gZKJgWDe37CVx71+MR9dUaRBzVdaO+CvatSaYLJJ+2vqv4WxfJ6YfquugL5nkXj4AarMkY347XiqZFI46RKDvQk0dTqCW+/Y8Bd9w344qPK2YY4hMRCM6B0sMi98YpcyVm5qsZtxuVFXYrMXA2BY3ORpYxEKWHy32EFJWN/XaBn1nP2uw2isB6L8zmRB7EW1roaQ0hvKKkFEbUwJk47PHlEcK6j0Z/4mmb/MU2AZDHIN0Q11HzH2ErlGmz8olCRIBd0Q0QpNSbrE0oWzPzZit6uSpViHEIxi9CWDsqYNZhPQjXF64K180OV4NYZuH0vZr1n+cwDdfadCZ00Ea4kVuTaW1CZIGU3gLv4rFQu1NcX3uM4tzkKKlp8UqpMJH4m68WlVEiTIo0mHml2b45588t7PLzHpx1l6Vfj9HiEIt8HQmaAGm+IKNcci0vulOSegb5ohii1eV4zboR1nUAiz3JmgWdWDWovwOjV80m2AuRSiawpJPdZ8p+zuDqpKJYMhh6ScsajpyNees0Aq9bQvvGYUYqdrby7BbejbzaYUmcToyYDqAtZftWKvzHwFiw+HlAWy3xlBIGoypOKHZgDvRpcygLAFZDLiYAyT+RUXRTpOuUNKX/42Rq/+/EmVmjne4+xN6X2HrMGNwK9WlRWml4vgPGx2o0LeeFVmbKxlS3fntEYg0klRjpfXElDnHpIZfixt/U5eNrjdz+hiZMS5AbBSEiUyQdJZOCuaPLSvswixvw95wGnsGW3jczS+SKXO05z5Gxt8utrBVbm/ZmlXZn/eyLT2E7IZzInS+6Iim1ZzW7m4yJ0pFzuRuBKimNNc36KoNZEX38peLhKPa2yTVE9t0eNG1xZdrIXneKVDJWsgluOs7aqLkPVJb5gZTvG9NU5G7ksKWbiXYi5s/l4uUsyLk8qTcNj1mCCkjGeH3PwrOQT9zTo9TyoqY3sXdR8V25MUSZ4CkZh4+v8Yv9lHG5LDVCRA7kWL+eWGJPXe1SALnOgS4x0WlxKTRynNBsJb3tlnzvvr3HwTHZx3LhUUiEYVN9pDm6bae1ck8s8u2nHa8RFJqVkpbBKlHrcZjFawdYiy4LmcqZy3d3NUYkDcrkkycbSi7z5v1JRKFxdSgJRVJmHCAiRkBrDwROKyProhQWLfyZluZ+wY9rL9o50+9j4WrgZ25W5I2WN9vgxpp8nkjSTSRxRWe5Fhb1Vwep5QLmRyfOqunIwe0V/FyyeVtjd7SdTsLh0BVaj2HDXQw2+/ETNDQeX5W4VVfbO/XglyoBpvOZk3AHIcSP+MmSPE/o40CeYyspSpthsKxKnu00pU4wkFRKVSoxQxCPNa2+IeO2tA058zmNksmU18/ISNCPhGouloZQpecSXyRVVLEO5PHHXOtfdTkXkOrz8vhGikCdSOmPcuSru84j8BsjLefPzJcoYQEj3+YVwZeyi0vSQpBAnWf5BSqRQSAmhnzI7vc7K6pDhIEU/d3br+qGzwzu3zNS/rRkYan62Z6TnRgxrLd1cbZWXe1ar+cbBPTbieAPYx/X1hf4sn1KqKqAutXg5iD2fTV06J2aDDq/WmOjMNZHKdepIP+HeR31+5f1TpFaXzolUCCHdPkCiTMuPM3gF5PLC7P1XSGKWyM4ZcINMsWNyxVA22lojMOICmlw6b1wYTZIYfD/lp3+ww76TmnsfkRhfZJB1HyA2isGYoMpALl9Ak9syuJPS/UtOptiMwUWmy915ctulZixfsHYWhGZBSx6sFvKkEgCPZcqFIMXVQomkJJby/KosoaTR3iIvfVFw5/xiY10tzG7txd3VQ7MN8aOSmDCQ2VZ6Ej8bEu92RZDZzDpR6XusHrbosMm/VqrU02XNSOXrwt7LHBI1+f3x4il3mPJ7E4FlIU3keFq+TOi4XsuTq4Jf+cAUDzzRcMuVdO1oSA8tBTUJgSTb5MpurN0eO7IG6GJIzvgworzmXaqJhumKri+/FpVShYmVsEIKQpY3WbXhYsNuCxbm5xICbXn4aZ/1gZxYamQxRVzmsqqQCRe6O8cQNd69dYE7evzPS5tRFCydY7jc3n28unCiYbsSuAsoGmyKfEEqiBJBZzDNsZPRDzy/58Q+HQZZZR8CUonnqWzUsKgMr6wOssx3VCjZuwwCNzof1aSNyLOBuTav6m4xztrFLgKi1OBVzV2w+Bh75+Ce1NxJFmQmpH7KBz45xV/c3cCG2f5C0ulvIeRYv6XewN4vbA+O7YV5gWte/XaR4Bkn8lKmwFigOdZxn492k3ZMi1tryhoVoZDGkAqNHKS8/VUDnj/s8Z73aqIgGXMMrPEY5ZrK5GUXWcYmT9Fn7zKXIarCvAXAqrKlsAYrq1JlMJC7h2xF2uS1LFmAK/OzIivnZ3w1gTLD6zS5JdFun07Pd4RikejB0BTLj9unvdJ5Uu1Gydm5MqKh0Mmiws4XChgryZFqAifX30qYCeaq6nA7DnZVOidVna0Kj7vU2zLT3LJSe/LFRwLe/7kGwzSbgi/yIzs5wo5p7wum5qtAZ8JRYvz5QsxWfdgsuMt154aMJnZDCa2VlcymrDgrQrkkkHS+uJGG1GgCz/CDb+rx1ad8vviEzMqb8+yJwFjNyLh2tLJiakKmVBJApf9dfl11VKzI7EJZBoh5jQoyM/0yy9BmbC5FHljm50GQtdRk7J69zojETcMVmZsCiRLEiZsiXK9barUUk4KeaWmEEJgUrDF4npoY1TChs6sSZMJ4H89E2jKArGQkqwFmMVu6Amg5AXT3s4bSIhzf8cuBuWoTlsAujwSlY/oj+MXfn+LwqQCry92Sc+fEy4LL0jm5QGKHjSCuxJYlkItV/oUF+WSjyHhGs1p8VdXjG2tTjMwqDqXJ6ogyiZIahNDIyHDJtph//UNtvvr/BHSHOWOXUsSgGdky4YIcB3kOREtWTYiTZG5Ybaa3TQl0KbLbN2fpDEfWkHX9uN+xwZHJUvcVa6awJ4sAPJubaCSuSrLAa2YWCYE/UFhj0Vfv3oRSim63y9LSstupq3JtqlpPiQnmHgP3RIFUUWtiGXNMxhg+36HXVv5OntQxFaAbNgaaVdaeSObku/NmW1BrHZOk8F8+1uSJvaHzvGWe1Cmdk/FZJ7YY+7vB778Ac+c55+rQzQvx9QYmn3BOygYIyt5HW50NWakuFI7Bi6AzZ/RUYkR2pMpJFWO48cqYn/iONv/pI9NEqQSSQqpgBSmKYUoB6hzkFudhu4mrORUXxI4UWXWhKIutitoUWUqWQn+Laplt5hLln1VmzJ4JlCKQzW5sZV0CydiyQb0qz01qkF6Dhm6Qpin61a95PbVanUMHnueB+z6P5/lFs2d+OcbLQnMpYouhO6rC2lWPe4yNxWRipypHuACTZ2wtsnS8MGMAd+CdzFSO24FKZoFlmPKlhwLe97Em7YHnaDrzvMmadJ1zUmYty3qYcR1ejma7wAzCiaCo3F9tAtATrL0B72NAL0E+ztrZVFhjK3o8Y3LhbMRUKqTNWD1RtELDD7+jz2PPBdz1NQX1CtoQICFFMcqBnDGrV7EQC1swy3KW2lsUsg4ypq4ScV5WK0SRpi/urVySTLJ5UdFYlW5ZT6gZLzEw2byeURRxxytfxIuuv5Zut4euBYog8GjWBfPTCQjFKBLEaab3yD3frE57IpAsfOIxz3oisBz7XkW6VEBdlsiaMTYvdtcVFXmizAXBLQt54gJLKROkTth7VPNfP9ri4IqX7Xuf786cae+MvTc0E08GlUwwNxVg52CnZJMLPvJrMlGLUrJ4mVgpGiG4UBp/YkhQVqNirSk2lRWZLk+FQUiFjA2Xzqb843d2OXpWc+CUwOqqwHIfODGZJtggU7L3Ip1V6bS4HdPgkkqBVfWw+RSsssS2AHheg5OBf4zNq40WsjI7pnpzGLIGZEuvnxAnAqmyOTbNRoT2YjbP97hq1zpL7TmW1zV2JEhFftdRkRvjbskYeAsgjvveBWArjsmFQO5+xoz9HVkwd8biLwju/HtJIU38IOFsW/CL723xia/UsV4lHZ9Jkyp7lzsqj3veFyyNpcRENWNZZfTym+OAH2PtC9T4sAHMkzo8B3Q1AJXZ5DFJvtuCyZI/QmhMakmweNLw9lcNaI8kP/VrinPrAoJJJtcXBLkVuatiS+BmgFZjGrzMWNrKP50XT+V1KvkY5jymVbIiyYqfGT8PKqt/yVdSlwxzHfWrHcvhsyln1w3D2NIbGmQ9jKnV5dlmvfuFqRmLEH0XdNjy80lZ2RdejY9FUxNfa1X1sMvmg8mkjM487aqHnYNUqyqA87+XljbgBcFdtqDJrNYkwvDpB2t86ZF6VmuSBZZCTrA35RD5CntfsJiqor9lBdhF9nKCuYsY80KecbUWpQpocuYWlUGn4wPg806fXI+nJi+lraT2rcRYlX3PvU4SjbCS171kyFte1scXict5mwRs9TAkBkYGhlYQGYitIDaQGEFiBYmFJEudJ9VtCNN8ApWrRB37s8qRpJbE2MrX7meTbGKVGxNB8TpNbTHNyo0PzM5Udo6HSczUQp1+Gn9BKnU2Nhb1C7/42yxedt36nuPe+t1P8j17D6zj6zppWtlhIU/aFPP/qgmYchZgMWGqGOGQNwhXW8wYK3sdK4GdrBAskjmZ960m3ZMJcOfaWyek0vDJ+2r8v78zxZGzQdnEUBwaIQWBhFDaYt5JfiOXSafxpJWTZJPuUq4/JcW2KmJ8SL8bjCQ3lDkIOf71xmrMiexpdWXJSx9wrWOC8b9fliSXGUIhAGOZbSVcdVnCiXOKA8c0xgqKbXwqS5ApEjRZRDF2w447RLb42fGsbP5zY/6/Hb+xi9+br2a2+nP5MHwxRhoiO8eeltQCzTWXtPnBb5/n5mtq/+eo++xDt77kzW6Pnn1Havi+z/6DdfpLipq2TLey2dvkiZ1qe1g1fZ5r8YoLIsn2UqzIj4lAsszG5fKkdE2EqOrw8alOUuSsX4JbFmB3utvzUo4sS9738Qb7DgXQyBI6+SE3srcakyN2jKEvWEGZB0qV7F+VwMUFmdyOXeyNSsV5v+MJn9JFkQUoKtWGJlvmjcCKUo+LioUojEII66ZeZUFnPDJceWnMD357l0ee9Tm6lAE8s/7c8g3g5IrNip+KYDDXv6IMDovNwvKgMvsYxmTaXJYeuaxKFllah/lATytEZbBnJaDNzpPOKhSFAN+TzLQ0V+8K2b3VY25ekMTuPGuAN7/yaur1Go9Opzz01aMkqcFYmTFCJkN0RXpUWPiCGcgJjb0R2JW6lMr3ZCWgFFXXpPJaZtZg/lqOJXXclKrVruA3/qjFPU+ErkpQVm1BBcIxbTnIp5LIYVySvJAtKCe+vmBg+UKBZpUEqwyWZUmKIiY7zoSWHMhlFlOKUovLDPBGyAzQbjl3y7jCCPec4q5J2re86oYR//TdHf7d70+z1i/dFIc8ckOb1EhGIgOscLZh/l7yJglpHFFYiZtbWDm3VoDJt1jJNPok0HMtXsR0mesiM4tQF3FI2a0PonjdHdTppVczX7sWK4flPXrZrs3cceuVd9lo7Ve2bWoSBqLY7nps249il4TK+OFi1nZVc2cau9Dble9X67dVycZFm1khOarVgKbikJhSluSHcMytVMpQWH774w3e+7Em3dhzNcC5YzIRWPp5TcyE9n6h7GWVqcfrv/NVvdxN7K+A7zEm31hwVbELqz8zlvCZ2F+nWlpbSevbym4RRS25dTNVmhp+9B1dfuztXWo2cSg0SeWIC02eWqfJ3eF0eWQFscm1OcTZnjlJptXjqj63ucbOtbUo9HtxpONHnNpsXJvb9S9JbVZJmH/fjXLrjwztQYPDx3q/Up++7q6wsQ3IqiF/89f/I/OzzVjJ+HJfm3/gqYR6CKFvCfzJHck2BpV5S1dVZ5fZRVusApONC7JoM6uWwla87twLr3TDywsAPC+HxTM8c9Dn379/iuPngzIVX2Qs3YxBKQShJNvENdfdpfYu6mxEaRuWRVGTxVKi+H51o6x8yGihvYs/q0zNLcqIxQbdnTcAjI+IGy89HtvFAcbKkUVFFla30i50eB4UW0voGxZnUh541uPcksTKit859sNOZ7s9+KA6+6U6t9ZVCVaaFKr6/EI3cuXfHc/iTgTeRQKsZIe8DsgYi1Ah/YH9owcevP/BV77qTaVEAXjTm96EH4Q8/cRXObjvceqhJvANgVdub11tMhhLtVdfF9+rVLVVtHZRZCUMQmz8O0JU9XauwUv9Lavau6K7lZfy9GGfn/iVGZ45EGA9WdHbZb0JhS1ox5h70ve+YAP1BlmycQeLyS/+KixeFeQbZqZssAtdl4s0FJo7z+zJTJ64hl1XNy5y29C6GdquytDpcpODP7Jcf3nMb/3UOj/67wXPHMyCk8LTo9y7BI1FkuBQboTAZDkEixtNYYzLAishCg1dbG/C+MqYS5Q8K1nKQjt+05t8hzdQRhSzCt15SRmNUq697npeecfLGQyGwL8YB/jU9AxBUKNeD6iFhkYtHdvDvWTgcaAKsVFbizFwV5ikCmhKYJc/Xwk0i6AzrQShFwa39lK6VvLfPl7nyecCUj0RVApV0KISGWuLaoZyIjkFlc9XBbW4IAtO+uB/1XrwajnphqCz2qeZ/8AkI1a8cbAFBo0VrjkgLxvIZIsbSC8RmUZPjXK8Kgw6Mdx49Yj/7W09fvo/eXQT4Vq9qm/O5KyusFISW0EqIBUCD0iLQjV3nk3W4aOEG++nqsG7KCczTIL5QmAXGchzA0OlkCqR2YagRIrvB8zNzdHv94vzWABca432/INTU7VDm+aDS7XsE/ilf12m1E2F3ewEmBln7RzIwoKo3gBm7EZwN4jJvjYlixfPBlHp1HFAz7pzvJS+EbzvEw0++qUGI5UHknoc4ORzsx05bWg/q7K1ZAzILxRMisr/JoGeBz9/GYdPgjxf2qlkM3MdbqAYZTzujZcAHk8GSbfFjJGOra2rEReVZFBqJRhFKix+kvDO1/bZc0zzvo836cU4kOfAlpVo2Lhg3SCJcBpbZ6tj0aSdBYhpBmBTMHiFvUXJ7EKM/1nO9mNbTVakWm54DCPD7HQd7dcOBYF3MIoKWJcAX1jcypG9n/rC5gX/Q3LU+Nf99hLac82cbuuJ0lB31zR3HHIAU2HlCmMzLlMm2X38a8OYTCnclLQMNEXupLiZ3t1I8L7PNPj3753i/OpknUkGcqkgA7c/dgEq7F1xkJ6m2QAANv9JREFUyaonWpA5JoyDfFK2VBl7w/f+kkc1oKxg2skRKBpwy8MW0iQPNmUl6VMUfOUsTv49mV0PichqVkBlWU9LimXzXMK/+qE2WHj/p5t0YxwLQNZxk0sV93fJbsokY/NEgJcxuCZ3UURJJlkgnp/rahGec6cqs+KxefXA2GJYXUmVhDRJ2LRlHqGaH/rYJ+//wj9695s3AhwgDCRShZ+dnRq+ta5HN/z/2vvyeDuKOt9vVa/nnHvunuRm3zcCJCQkbAFEEVxARUXGGdQ3KuroOPrGEReeI/qeGzPjOuO8GUVH0feGERgGUAfFjX0XgQSSkJCFLDc3dz33bN1dVe+Pquqq7nNuCGvQecXn0Kf79O2c0/2tX31/u5CaRJptYQz3Zt0ywJXH8rw7TQalPJ0QmRcUvYFIz9ESO7WDEyO5iWX7JoHADb8s4gvfLmNwzFXgdhTXtrfyBme5dz4k1tCTFhOgLUX0Z1ZwrHk9E+LdBugwQDfUpDXxoUWCc6FsyZq6tErxVJrrAC0iVMa6dO8rSzWSiGKgm+Oyd1UwUqH4Pz/pAMLEcgJpiS6sl5Mqlonygmtq4ghTmUC3VNH32SEG7Kl0tixR+VUxs8LpVU0IgIQYbri/KxQKP42S7M3PAHxgwWtw8LH33FkukAdC2lzNWQwBXY+aqr6ENLXJmhkl0m1GYtug1ufZkhuSriAHdKroCtGKJeEgCtyaezu+wPa9Ln7wkxIOHPKAkKbRgdkXTamJccW3xppkOaDIATfHua39vJaZx3aGk5N2FoQcwi0JDjvQCuahtoTTQofMSuWTK+mddl4gFIRD2cG1kimMkgmlcGoeFCUY6E/wJ6+u4e6HfezY5wE+siDPTkv1IQUEBSdyVWEWzXAI0tJxDtGrogrMso5LwIsWIaK/GuMEsQAiDiRClvgOAhc7RqIHPvHPv7xzyw1/PTXAAcArLAZAUQzvgUOHIbiLZjNAvekjTrzUlqq5o3GbaodClou3TADCs2DPSHVDSzQf17TEUBUGxxfYsd/FX3+zC79+MJQJlFTybBMl6KSShcCEwrptogWnspykx6h5b4NaS+081c5MChvoOSDr9yloYdckyU0CkTOz5WiKbQsnqffTUjqVlUUQ6X43CqeU4uBOaugjRIA3BM5a28Rn3z+BT32zE0/uJ4CXGHoihNT6dCdZQsyqqeJhhdDeVUCHmadOMmigExOeDCVwQLL3S/3uRABNQdBkAiyOIKIIIonRN9CP9cfMAWccW3J4bgF4PbgAruNGP7xxHJu2xXBJjLe9ooYVcxnqTYGYueBM1yhFDqy2vdWOgciC2QTIaPoiraBZ+sJTYBPKDE3xBHYNufj0/+7ENbcUERHHcuYYqd0qvVUBTWSldp4D5oHeLniKtPlc/+YpxNwzGrYHExrclkWlLU3RFhXbupIql0jpCuG6KI+0upDUdKgpC4Xg0tsZugwXnl0H48Cn/qETu4c8iRgCSU2EarBJ1O8WAmkhQaFukNrK1DyiPKESOYkGvbp/WsJTGClPlXBkgqAppONHxA2sXjCMt79iAiwhmDlrFs542VkRYwl++DdPA3BGZmDmtM5Lx+vrVv7yvuaZuwcnsO2pQVz9P0bgUCnBiWPOzyuTWanMrRU8zaNOQQ5rIuhraApDcwCnhIG6wO5DLj7+9U5c94siIqJy6Eh7aqK5d1qhKiO9RVt3+9PGoWipbUtra2dKt/0RIRuW21IuzFlHRx7YInWKEKF7UipqInT1KZJKeyKIpCeWfTwFvVZniSMluqBImIAHhj86pw7XAT7x9U7sPgTd/sFYV6AkuboGdIAVURpNekMsaaADqEDSFjiMmIAuTW20NOeQElwIDo/W8Zl3jOLUY3xM1Gaic/rxv+mfPf9SYKTllrYAfO5AF66+7ubK4pnFratmuRt503Mm60XEbBxMUJV2ZJv5uAGzDVQNFv3EMg88J8FTCsNTu6xxBqmXC+wfc3HZP3TiuluKiBxqpEUKaIoMNVG827aapM1bgUxtcgLLs6i+pZYm7bi4LXnMozMP8JngO+PcQRbMGR5uSWwJfk1DRObvtFVFOnZoah7M0hjJ03U5fE6orOXNBYhKFlOhX3DB8eZX1JEw4GNf78KBUQ1y/Y2poSl2uo5+iRwASEY8WPsqIZrIjHiurpNeTgCEyFqMBT/EvoN9GKvNYLNK07aOPXZLZekxr3x6gOsHW61Ovn/pvI71HqmtmTUzxNhEHzwX2TjslBdbAFdUQz+adooXCNKHlFIYa0IYDs7kMQdIXIpv31DANTcXEFFbocwD2/i2dbSgdrk7sLR5S0qn5sF0wuX5eGvGDrEflP2cSMtPnRrYaKHj5g0x4DfxKEqq5zJ8DO/OdksmmUQJS4pzqgK2NPhphqJwRT1SuzkTcCFw4bl1bN3p4Uvf6ZD0wrH4OBHp9zMP+QimeYbnKXFCVDYmlc9VqBKhAQUCQhB6JTz4WC/m9PchLPU+0jlZe3+xVGp7+bYAv/CCc/Gja65la49fKkKngpULHIyMU3R11FAImjKyUMVgp44XomoDerIfDqzfm8Qyvd9+7OaB6T1bEbUmDAXgEvz8zgBX/6yIpq6/DAvYsKQ5DDVJLScw3NuO2yAQbRXLqbyVU77PU5YjAHdbwNtxGrl92EqoFZORbUGoAK3c+Km05tJ9n88K0plAQpWCI6npUNvUqfJtOBCcIeACF51Tx/2Pu/jZXWHKRKApp64Nkc7UjJqY/UwAiOzP1YPyrGcpdJCcB+K48IlAty/QVwTufaQXtcUhTj5pkTg4Iti5J5195AAHgI2nnYpms3H18NCuZYztL0Wxo24CUnB7bgzPi+F5DHA4Ei7w5F4H+0dVahGkt2n1kgSFIlSZVJmlwhNiSS/9Qw0fB7RBhOCm2wu49GtlPLbTB3wnB2ZbehsJ7kBJb4iM1cRo6lPEm7RQjzx4ib34Zr49yf2cvPs9i+YpTrARDpIDsAG9acJr1R4Rpmi8LbGz72HASzTNkRLcTn0jRK8U5kUYx7GLInz5wxP4qCPwk9sKEpS6jkTbX62+MFPPn8ljhZDj+JUJdIsUhwL7Ril27fWQMKVbuQ7gyuYLnBJwOHCIQKC6epQ6uqurjlt3dRCEU97mKQE+c+ZMcc+dP/n66uMWvn90365SIZBpYK4bw3VihGETvhthuCLwH7cHODTuoJ5Q3P+Ij11PObKuuJDRea88rYnuMkPgCpxxQoTlcxMUi1w6IOJ8gXjJ5QglIC7BDbeF+OTfK3B7ed5tSe8U7EZ663uvYyCyQLbcxTD7tmKJNuDPG8gz3l17MpB8p7UpcG4B1+A7bzJUcdc5BdOYGK3j0FLd5u4S0NSS0CTHx7WkJxCqcJD0S/AsFwKNBI5ZEONLH6yAguCmW0P563U9Qzv2gABIpIWmWORYPi/BGWsiBC5HVyfDOadGcB3VqtAFdu5xcP/DPhqM4tC4ixtuL+DQeAC4kso2SYg6I6jFBKMVhukzFw7f/+CjX3/TBedNKUumBDgALF26DCwew5CTIHArKIQRimEDpY4aDoww/PKBANf9ooRbHw5QabgAKOKEqFmqHw7Hw7sKIJCtUFbMTbByXoSzTmngvDOaGOhh4BEyyxpR4X033Bbik98oY9MOT/rYU6O05tk09yLpSqdb/mXs3RDtbd40q0S2Wk3M89IvmgFzDvT2TWzDy4GppDvJfJJRNlPpTSCUyNae8zSrXdiAVkV3LDNiVqIjtaSkklsIFRZgvKBQ3k7BhUpyEOCxwLELY3z+zysQAH58m5KgKQ9XowkM9CZ47ZlNnHVyAyvnxVgxJ4GnpLbnZa0pq2YlOHdtAhCBSgM474xJXPuLEn51fwn7hjmSIsEoCRBxCicsYe6CJZje13lYAXJYgPf0z24+8cTI+x4b7P/RKYt3ljoKCZpJA//+Mxc/+HkXNm0t4OBoAKYLpIDIDG0C66kwJIwDQvYW/+02Dw9v8/Hz+0P82y0RLnlDDa85s4ESlbH2WhH/6R0hPvGNDmze4UmuoU1ORi1spSpold62lNbzIw3osQHb1jKSL41srTap5NZmrSO3nEwlbjJAFtnjqdpuKY36YnZcNYRVNJ6rlLLULm7S2my6knHtcwri6Dbd1paovkAQoJxBxMBxi6Qk5xz46Z2BiXFIgKIDvOaVDVzy+hrWrIjQ18XgCAKWUGmfFxT1qiMnkXK/m0A3gXLIcP7JDBtWTODRbTX88Oc1XH93jMlmJxLu4KLzplX7upP3Teuf03zWAN93YJAXykvuO3nDeRPF2oOlJ/ZH+MyV3bj1dx0YawYQRBWOp6Ykb+uTYgBlcisSwEnAOMFQheCWuyg273Cx+UkXf3JOA4vmJuCC4Oa7fHz0qx147ElPVefPS2uSBXZOetvueNstn4I6R0Va6AmQoSkp8DW2SXZrA77l5COBfU73ygBbKW6HMyVmlUtrP2NRsW3hWkLD8mbmTIgZSS7t5wLSkSMEh+AciIFVi2L8zYcrEAL4+V0BOAQWzk1w8TlNXHJBDbNnJEAiwJoUkerrybgjayeqzs1C5asZ56EOv2boKTK87IQEJ66q4ILf1XH5tyNsOTiAUze8ZmLNqvn3DY0M8sPd2sMCfNbALADeIV6tv/mRwdN+fdm37/N+dv90MNcFCRyTsaKUOv1wdMYHV2kZQqg0KKFlplyGBBXYe8jF33yrA7fd7+PvPzaBPYMO/vLLZWzZ5VqSO08UtDnJsqYoaSuj2Gxaks2vNHEx7a0mGf4NTOHwIW3xnDclIvfN2+DabNu46LNgznLqlHIoQBj+3crjjYczK7EB0ybQtqgITiEyUty43VMIyqxjiBg4ZkGCL3+kgg9eQbDnIMU/XFrBKSc0UYIAj4QsJccdMO6BMRdMgZxxJc05TZ1S6W1VxoZmZLK5zl2bIL54FJuHNsa797M3Y13fIb/Qc1jZcViAE+Ljvkd3oL/32L0PP+Xt2D44vrxcqiMhMm7B15WtlD1bPxGtMMeCIOIEkaqwlBZ7TG3gHCBAlQN3PuDjW9cXsfcgxZbtLhBqZGSZr9H8jElQo0xZFA33hp3cjIwEb1fQJ1tkszW5IQPc3N9m7pt1Tv5YC8i1bqbBmd4iS5G09DdbOkMIs1gSE82aderAWEhI1kxoK5g0R1Xk+Zr2ECNl1WQhxHxhkQArFiV41+tr2DdEceqJTRS4pJx64jAhgZ0wFwnzkCQumJUjmp14BuQ6u4tA9uRZv7ITr3rVsTtK3XP2NmuPo7tj5bMHOABw4eKuW+/e1d/decnbz1l+63f/4z5UIorQlbVEHGIvqqYzLxdAIgRiTlBnBHVCEcNXTgFm3LkqEnPjyRHe+fo6HnvSwX/cGqARKTKNHLpIG6ArILoka/7LgzgjydMpk5XoGR6e+adJG0C3UTTbi4qnu81Z0Kv/tdjE89wcWZqS4eMpJRHpZMnUOkSOe6ffMnscSnLruEMi7BtjzLnNKsE1vwjx+JMujl3McPZJTWl7b5I0LiZhsitznHhIEgcJc8EYlR5yTjIrTfq4VeK67yY4NEpBS6eCHSpe0tjz0K5jj1vytPfyaQF+0nHzIOIq4Bb39/aS22558NHTf/d4E9OLDjxH1aDTNxpC9ZKRGdQ6i9qlAE0IKmomQ5cFi4F5/QwnrWniM++dxMolCfq6OC46u4F/vbkgi0A6eWAjJ1bliypqkqZF5Rw7U5kC21GVFmWTHGYCWDBPMX4E5sEUoSQLaC2qFYMwjh1lodC0Q8efmJAQy4yYcnFjUZHxKTYdEVkQp95NkxmUOpRs6U0M+LWHt5kQ/N9bQtzxkI/Bgw4+/LeduPx9FZyyuol5vQysDmVfl5W14thFlHiIEweMaSmua2Eayw+E7HXvOgxhZxORKKFYWn7bwhWn7Z+sRCB+8LS32HnaMwB85n9+Hiefdc5IEJYqo2P8LTu378GMLgdFX8jSElR2fvCoss07Qm515Sc592UZAQGAR0AzxtLZDXzyvRP48FurmDdDaublDo4FcxjuftTH/kFHmUJM4kIm5luXYaMqFY0a17xpO6ILhJpYE5PVbrUJIdZnhOgkIFOBStnXKSFW+KzKeqdauhOVIW/2jZ4C5DvUIb/CUDN5zPnZ1cdct1V/QNtJK0xGjOUPMPsic272vZ1ra1IWSboVoAHBb7d4+OQ3ytjxlDTnDo86uPVBHwcGHaxcnGBal0Ace4gTH1Hsoxn5aMYeothDlLiIEgdx4iBhchvHDqLEQTN20IhcxLEDwWPMmLsOXb3z/mpybNvt02csPSIZ8rQSXI+BGUvQ1dV532lro+tZZfgNu3fvBCUUjVjWqGC6hh506WWh6tIJuFSG9DQYUE8A3hRYPKuBv37fGN78ijpCKmT5DSXUVsxLcP4ZDTzwuGcu2sLHDW0hsILoSS5DHtaDzoAny72nVDqVhG6pMmuJe3MuSQWzzjM0I7uXxibZklxzcJuOCHPcUBaR+yyf0qZNhVrZ1H8jVwCet5IompaR2iBZ/p0Jr9BhzgC4dPZs2e2lIZuCAAdHHPzwJy6aEcHl753AvGkMtSZBzFw0Yg+Npoc4dpEwnUhj13iRiQ1R7KARUSQJBwnWYV7Puut7B1bcB145UtgeOcBPWDkDu3c9tev8s9d/aHxws1P2x84fOlTD0Lgsou7mNX/F9RgHYldGBtaYA1HlWDSrisvfNYo3vawJjzmIIg0aAS44wpDj/DMb+OmtIe7ZFAJh3q9t80CSSji7RFzKsXMgzuRcIgtkDVeb2uT+KSX5WiWnnmn2tY5oWODVCLZjlFq9l7bjBlZAVXZi2F7N9DzYyqaxrmgQ6+pYeYtLxmqSChsB4gvcvdnDjb8J0WxSILCC3UKCBgOu+ZULUIJP/2kV07o44thDrR6g1pSSmXFDSfR3hjJtNiMHg8MU1WYBQde0G3sHNn5odPjA7t7+eUd8e59RdP68+XOwb8+9u88+a/Wj551VAvVrqDXl0uq5QODLLskFHygGBMWQoKNA0Fkk6CkBocMwr7+CT79zFG88gwNxiEYjRJKESJgHxl1w4UDEwKp5Mc4/s4FSiZtaeflBDPfNJDCkIJwithtt9qeS4Jm/MY4eG8R5/dKeHM8E6JndnG1c2MczoEcGrBkrCLc5N5QiB8OnRVbywwI8Uslv6Qbp/2XR1MkqxQ2/CbFpt6fCKBRtdHyAhoBfQMPpwI9+PR2Xf7cH+4Y54sTFWCXExGSAyZqHat1FreGg3pSvZuQgSmSV3GKYYLI5ju0jPZgx5/hHf/Gb+3b39s98JpA9cgmux5zZ0+CE875098MPL9o5Mn5RPZpEwafwXNLqDSTG1CYAFMvAy07kOHddAdVqCBBTGplSBkckyszIEZQ4Vq+KMKObYccBN/tNcwbn1CQIY0UxIbDyUR1OuTTclbSlJ/nJkLbNsL4GrPMN8ImZhzmprPczjh39sqkKUZYQi6qk19B/r+3iXGJMpR20cQYZp08mlNZY0y3Jn5Xeee8rcYEDhxz87lEfUc2RrkvqwNRel9XECKFIBHDdPZ0oFCs4+7gC6vVQ5RXkuL+6L5QK+K5AKYxx1gYP60j31b0Da75Ur+56pnB95gB3C0vw9e9fO94/ff47+0q7Z4essbEYCLiOZUlQipju0ua5BIXAwdo+glVzujA04iL0m/D9GJ4byzYj2kOjIgrBIxR9jtDP2cZyLhQNalPfRGQB2o5T585piSLM8fM8PUE78OeBfCTSeyruTXKSmhiQIrVpq+QEkj+fZN31wgI6bDu4zgZS+Zp5G7j6EcIS4yIjxYFGRFCPlXZMTWgrqA9CXbgORdEBOlyOskexY3snbot9zOijKAQEvidUW0pdSMrcmsjhoDREubvz9lPW9b+zOvGD2szj3vbCAxwA/uLtb8I99z1U+/N3vS667t+vR21yAiAUccwghApLdTS4KcLAQalA0FHkaDRdjE2GKBchDfycSNMHCHTCA6cCvOHgtGNibDyxic17A6WV2d9CIjDl38jXL2mlJ3kgt1gmbN7dDswWPbElv3WS+Sw/H6fGd7ojUv4u0S7sE5GT8CnwZXVZQmwnkC2xRRqQldrFLTojTyJmkgDQpV5Nbe+cukwFBANuf8DH7Zt9GX8Eu2udB88h6HAVuH2BzpCj6BPU6gxjFYo4cRAGBL6LtLGw7ukTxQQJE4DTh3WLzotGR0lt/qLjnw1Unx3AAWDl8sXgnN975sYTT9m57bbC4KEmDhyicBzAc2QLcNelCDyCICAohNJ8yDlFHFNEsZvW/SZUmqMc1dtRN/cMSgKdHRwUwqLhSmZbYMs7dmzApyUI8svh4Th3On9IizQ31hOLJZE8DMyXe9oQrFwAnmgnxWEphpykDZ0ydcNbQmotasL1CmE7e2xprePIJbDTMoSwlNXcrxOCYGKSIq5RoEBguma4oFR2iy46HAVXIHSF7D9AZNJwo8lAiQzsYr5c4T3XmJcPTSSYqFKsWbe63j9j4b2EPPtE7mf9l52dZQSBf9mpp576Va+zu7F/eBKNiMN1CDzfge9T2RbcJwh9IPBkJVoBWWtaerXkljEHXHm0dLlfIYgKaLFKmGWGRFUKYrRRHi2pmk9Py5v9ni6zJ2Ue6TGSbg3ac1L+cLjOWJzM1hyEoSwW8NMKrJaCyHPKJp9CiTTn2VaLvItefntTe0VzIKQKgMh7u3Jhyz4FAipk9V7lF9GJDYwJRLFAM2JoRhyNpkBDukWQMIJCwNHfO4k1x3c21m84+asOdS8rlTqeNcCftQQHgEKhwP/ic/96OYtmxsJlHw/FsB/4DjyPwvfkrPRdwFe1wx2VJiYETHdeRsFdAiYoXE4hKIVRfPKAziJXAzPDv4mJHLQB3VbBnALs2omTCa7KS3SN6dwEsLBuPpsC6doWngKeZKlHRiITm35keXkmDlxTEu3tVDyac3l/suDWBTs1JbFc+KkdHJYSSixRYs9gvapaZTp0WWrr/krODySMI04ICGXqmI4oBKp1ghOWz47Wn9B5RYf/o8+R4p8dNlrwBQU4AGxY6EauP/uL9YkkOnSw+tmRMUZDn8BXtec9F6o4PtK6hfqBciVVOM8qN225n+YNKdmVn+UixLNxJuTp6YlGYZamtLGmZGhIDvCWDdw8+xzqpxgarMQGvA1gYjl8iJHERORivQVagQ4j9YkF6nRF4MRcA1aNQ/0MclGI6UQEzCpj30jlvpdVDERG6OjViKcNpzhITAHBZNy6oGAMmGz6fFZ9zmeHJhd8edPOiei54vM5V6m5+I/fjOOXNOsv3zj/+jWrjxGcM5QKAsVAKMltCsvr0svp/bGWRNhLa2qLzY0MyHMu9kzBoafxVgLtJbp9bh7sKYDbZNhnJsEzKxmhb4ZNRXgKpLydOs+vbfqRs3lnOHaWivDc1iicub+FLWyy7w3KrYeTv7eZp2U8rLpTGuMCccJRbzJUawkIEixbvkqIwsLr790c1U/e+PrnCs/nLsEBoG/abEyf1bltot75/ped4fzj2OADtBkTTEzKy6cF820lzrpFtlNDPVakIiJFkxUeazl4ZFGBrJKZB7E09Ym2XJtOJb1b6AzJTBQD9Cyc5Ry0JLs5ejh8a+dgmpiu6QqgLSDyDSV2sBVUho7IeDS151KbEW3KQlMzoqwB2Oo4yoE7f9wOaU0Vh6ynmab3wfz0dPJytXIrZUIIYKLKECfAunXr+aqVS94fdM3b1pwcfj6g+TzUGQMwY/Za7HsK0bHHn3TlygXxR+bOBvYNTWC0oiQtzfavzzOPVPJCLmlQGR0iIYjiXHKDFSrb4r2EzbuFXSKlbRZ9OwtKRnrnnTzEgFxPqqyTqLWm3lTwbhv6iqwkN5y4nfeStEjww0pxLbW5Oa9Vkueuz7OSH7ClPeB7QiYEc5H9bfnfam01uLlqF97T6aKvpwmvo4TdQ/Qj60888cqAT0Qb1h7zvAD8eZHgADB77hKMju5ls5e9bvvm/bMq+0d/Xe4tRXAoheeadt5pcR8LIBoFdhVaP2D4zSMefnVvAMGoye4hBtxOCvdsWloG1PqxtAUzySmZU0hvQuysuNRUaGLEs33rbRNjO5C3KJfq84w7Xu+LHPhtKtOGi2slM5XwmdBZG8DZop0ZIGvJ3YbWpBn6DsHLT2ri9OOauO13KvNdCJXNlVWI0wmsYtQZF2mD1yThOHFVP9ZtOKMyffb67fsO7GMrVhxZpOCRjOdFgqcP0Sli8GB04ynrT/7AW97wypHZA2UUghiFgMHzhNHiDStDa6F8VRmLClQbBLW6hrH1Uia6TFdi2JJ3an7dyrGn4Ol5sGMq6mJAL99nOXiewmQeuH3cBrQCsebieWmdMRFypN2QeeZzA0wu2pgOkZf0WZu3gJVlo47Ja9D0esWQoyPQ4th8ES40yM1v0vcGAogToBEJVKoRBC1i/tKzRxYvOfUDlLMbu8qF5xOSz58EB4Duzh4AQLVauWr9hlPcnjL/0sE9v5gWOocwUQswWfVAVKPTrGXDdFcjqjRcEgts2+FjuKKrx2b5tyru1WLXpgBaeusArXSGHo57KxMkRcZcmG2nkY0Bn2oFkCjHlDRc5NZz7bLnqh9NKr0V1waXtyI1/VEV7iqeXoqbBg3EyrgnyJZiVlGFmSZXWgHVLwqWOOjrSLBkUQT6YAKeMMBjgBBIlLPIgFyKNEfV85msAyNVYPGcbmw8/Yyhkzac/LEojq/qnz7teQW3xsnzPkqlMiii7y475uRPLFs+e2jb/gp27GUYm5SRYlJ3lBYVhwjTRY1y1UwoweY9Lq65pYixiieNqrmC9mnGfEuSgOHhciuyyQFTSHGanwzUVizthIUsyO1rGyAbZLfj5BLJSEV4hn7YLzvGXmTfcyVZuTpPf26nDOaleJaHkxxnbyPhkf/c9NhMEgc9ZeDCs+tYNTeSTSxFAiEYYgHE3F5R5P3xXKCr5GDuLGDhgioWLls2dNaZp3yi3oy+29V1+PomLymAA4AfdqIx8v0r/ZBc+p8PLR65/SEH45Oy/RvRmTaOaRHoWJ2KE85x810h7toaqhjjbFk2QkxbjLTet7Km2K75qRIZ0l7z1nmZhkh53p1RMKeiLiS3b1mMSA73Fr71Eq5Hvj8kFzZ4SRsqYh/PK5cW0HkutDajaKr3aKU4movnOTjnDuKGi1OWxTjnlBpcNwaYbB7LuEBTEMRMAp2pf5tSgnLJwamrKD7+tp6Rzm7n0i9/78Yre3u6XigYHlnK2rMdX/i7HyPuv/jh7nLfngUzvHM8OhH0dXGUixEKYYzAl+XgfC+B58Xw/Qiu28R/3uPh89/vxvBECLieilBTjaWo7DEfEN21QaemmSXQodpyk/5JeoxSYr3XlWft5qwK/NQ0eCU6jU1viWn6SohNd1ppTsbfY5kOp/Juao8fsfZhX8e6rj7BnmDp5zDfA20mulnBbOWfINsKEmnLx0y/JWK+p+8KLJoTY/teB9uf8iCoA0FllTNZl11ex6VA4MmQjSWLFlaOXTb7AxuPYT989bnvEHgBx/PKwduNM1cFnIvwao+6iS/wvZA8HvZ2yjBZ2eZbtQN0YvhehOGawL/+rAPbdxaAkhVbrBq5EiDj/rVphc2p7c4NrR0dcpw6L6VplpKkuZfaFGgB3863lKBq01JQm0gs5OZNhCT30jHdmovz9ID8sYSrHvGaa6uGYUQ1pCLClIzIF+nUve2JELKOeBoyqzPwYSwpGQuLrpMie2wCAs1IYOn8Jt567iTu3xTgwKQDOB4S4qDJAZcRMEEQMSBKYqxYOq/hBAPvfnKw59rxSv05ueGPZLxgFEWPCy54IxbOrLJyef61Cxd0XTxrTl+Dk0Pw/TpcRxa6d50EgRdhvM5wxVVduPH2TqAQANRXLxe6NJwx/wkrPNbuKpHj0RkqQlqAbpKOSY6i5JVPqw03IS2f6QJImSL6qSQ3rf0koLXDPEdHeCs9yVhKuOHmNnXRlQzMcbMvPzP279QGbvezt4DMU89n1kyogc/TvvcOGHMRJz4akyHOOzXBR98+hr5iA4ib4IIhEbJX/UTCMcGrmDF/XsMvD1y8eKD72k3bx9j5r7vghYbfC0tR9PinK3+Ev/vsBjF3Rdfj37mpuOWOTeXX0mTSm95F4boJOop11JIGPvOdDlx5Qy+qogR4oQK3l4IbyizoEZM1n3YtpnYmPdJMeidHT+w+8e2oiWOD2DqHEJqlLIqiUNvBk4JfWVbaxKMIHdfesjC3chYy1QGLo2gKY6iIRVUyekDeaZUNTDMdn0V29dPdrakJs5Jd3aSIkZOCwneANSsidJVj3PuIj0biwfNclB2B1YsifOaSvtqrNva94x1/fMm1Hcsf5J/60B+9GNB7cQAOAFd89SY8XnsjvvLx5uands55sugVzg7csbC/ewIRq+KLVxUkuEkJ8IsgjgfquOrBGaA4ine71LzPlIkgVrkIavNxktu3AW7x6yn3SYaHp2Uk1LkOzdKT1KVvgcoeIvfGdvIYpm4Nkt2m/Bo5BxNsKw8yoNf7mfqMtJXC2aDOAJzoyamlP5V1BoWsNegRgjXLmygVYjywOUA98jGvl+Dla+ePL12w5L1nvnz91WL8arz6le9+sWD34gEcADbdeS1WHfM2nHNa8GhY6ts3fXr3GY3mU8Uvfj/BlT+ehiopg/pFBJ6LkktQdGQDKU09dfCarCBLUpBr4Lr21rGVT2KUT9IKbicHaqcF5Hl6YuqhGHpj1UvJmuyz9nDLEwlkPZOA5ewhigvnuXwO0Pb17QZOeYXW9qwaSZ7zF6jKu1RtdUKKtHJJkOsrMOaoMmyuqjcoGyR4lGLN8ibKYR2DI9Nx1uknDy9fMOPDuw8FP3zvOw7gmLWXvJiQe+GVzPx4y0UXAQCEGPw+4Lo33DLti7c8dNu0alwFLYbo8Ai6PA7fkTezyQiqCUVT1RxnAogBeALwLTe3fmWX16xCaYr+KDBS0npOZp9keLwBt8W1SXuzYN7G3QJu7S5HVuFMwajzLVU6GU0VTJjuZpbCCQpVl1A5hARJFUzOiQlXSIOuNBcX4DTr1bSXF6ItKarrHQjAGQHjNC3BJgC4DgfzZQeQgs/x1nP6sfH004d6B177cc7j7y+d1/NiQw3AUQC4eZAzsGd/4zvrjnstec/FXV+47sc3Trt/WwO9voeegoDnCDBOUI2AaiKLYQEJ4BAwShEJgkCYZ2FLo3ylKodiSkWTZoBsLCJyEhirCqEG3E4qqXMFgXLS1nbgcJ6l3TyN1RCZ40TkrqfErWIu8pycVUUqscJYU+SfqK4N6ddJtwSQXYjVb+UcBuSw76kWFrJ8GqVMZmW5DuLEQ73po97wwTmB53KUCgRADU+NDGDh0guHThx45ScA8R1Cjg64gaMIcACYOzPEodH6lW973fpk7dL6Vz7+tXt7MDGCzoKA78obf2BCgDSaGOiqYXxSoBb5EH6AhHhI0mwAyzyoy7HlyqtlbeFZ72TrPsmC37J9p/SljZUm77W0PY3ClupcqOOq/00uWJhApPQn5dEA0kKQlnGNUOOC1258CCXVAej6EbpPFOMklf4pwInOsDLWlfT6RMiSHk6Cgt9EI2YYm3ThUBeNpo+hsQIYkwDviin8Yhfq4WtGi30bPwqB7xFaPpoQO7oAB4D+ngKEiK5at2bjyOnrxhfPLMVXPPzQ/Z7nykiTrk6Gs2YN48z1h/D4DoEvXNWLsagTnDhglBobcht7t1YsbWqSSmqapSMtTpA8HWnh6shs9d/ZQyhgqdRSyVK0d5ILcM5TKW4PSSVkrAilgKAClFsyWANfIC2XzDlRYJfLGlEAFlyXZiP6r9OJyIkAIwSUCgnultxMCXDXYQj9CLW4iS/8oIzHt5dx2gku5vWGqFRDJEx6pE88cX0cdDQuXT7j9O2TjdKPezuPOryOPsABgBCfb9q89cYPve1V/oF9O2pL5oTf3LxpE5mYbNJVvQ5WL+3AikUNbFwxDsFHcNl3fHAegAmq/j4P7KyJUCqYytqRAbftwEFKQ+zraSpigztTzNMGObTCJ6edBjMjWZois1q4BHkO4Ma6YXIyqUDGY0Gooh7EktwkZ0OH4eayLrsOecquFoBepQQcbuJW9EpCiQqjcJr40vc68K2bZsEhRUzWBI5b4KKnE6BOyFetWiWKXUv/fPaipf+y/8BQNGvuC+d+fybjJQFwAFh1zDLs3bM1Wjh/xlWdRfbrWr154fjo0P8ibB8aUYiDw12YMz3B+uUVeCRGQ8h1WiuWOh5cg9vVlhPHkuSUqGK1JMPJbdd6Wi2WmkqxVNm1W+3qpvitLl5jgzz1MjLpRYyJionmKm2LiZSLA7lVREB6KglyJnPLnq2q2mlOrk2EsqeO5OD64qZsm1IkFc+R16GgXGa8c4dCcJ46fEAASjkYF7jz8Q5EKGFRN0FAOUYnIsyZPYBZM2f8dU/fnB8Fpf49Dz++L1p93Mqne9wv2njJABwAZs9dBgD1m266YetwfOwXV698wp8YK1xWn9zp1Oo1NCIPs/sJTloV4TePAiTQIBWW+U+C25RvJnAdI3ntICraIq3tUse2iTC7MmSBLjI0iFATr6EDoKiqvBMzSU3iRDbkSphQqWjy96dKneb4GuTQEhgAOAihqg13VnJnOzyo1YJLMa+5vBAEjhDKSWOEREIIHEolyF0TmAUh7+XdmzzsORTAdwkKHkNPp4+Vy+ez/hnTP3fR64//4i/u2MGWLTn9aEOoZbykAK7Heee9Dg/efT1be/JFnx4fG3Z3bL3jI/HEHQEhY9h9UOCexwsgHs2UjHCoqUnu6h6iDoHrElU1yVLaYDlDkHWY6MU5tbYoCtOe9gi5JQboxMo/BSQsmSv/PoplNkujyRHFPC05nUpkPVFU/AkVqlu2/HaQZjtjQpQNpSSgNYPJlJJQxzjkeVxNIC4IHIE0tgTgIJSkpfYYI2lReiFk2uD6FQnm9DVQqRLMGejFa89d23zNuWf83bRpfZ/2vOvw3y5+49GGTdvxkgQ4AKw9+Q2oViugYJctX3UmbVRmnhKPfptuP1g4JYk8F4GjQmVF6txxKWSVJAdwXQJPlY+TJStIi40aeh/I0gttuVBmwnbg1sVsHFUxQHtOU6DrJA51fV6QQUe7BhlGK0wmBGsKQGzKI5W+FNy2jVxbWGD0Ds5JWvKsJXki50yScfjyN3Eq0lBZgKbXcxyBhFNlTaGqjgkFhIuz1pSShui+6wPvfgPfsHrhXZzzyyYmKujsPLqWksMN8twv8eKMS//2Rwh8tzw+Uf/n323Z95YHt+2nSaOJ2R0EPQWBjlCg4AOyJguB78qSYI5DZAF+BfC0BQjPKnapGdDRLypXADVB9EuD27UkuJsCXFiSncvCN6roUbkYY+9IjCt/7OPQIRedRWFRqJzHlQDUUaEFjpGsrvotNP1eNJ3A5rsZ6mQ/XLtBgdY1ZJk92aXD9zgCj6MQMBRCho5ChHKpjnJxAoWCA+4s4p09C/8tCEvvYUlS8fpePHf7cxkvWQmeH1f81YX47aYnK90dhQ/+dsueJ7570wPHjo1MvuHJLU+AFgh814HvwYDbk4U/tRSnioZwIZAwA3LbzKiHLoJv0xQjxTUwFXiVBHf1i3I4qh6M53L4LkMYJJjRW0VTVDBU7cXesS7MEhwFT8BTdftch8iJwdV75fbMLzZ6FeKEgFOrLmHufumoS8nDpaRPmIlApIrKcRepFAc08AViF2AsQtCxFGGp43pSPPtR5i75Wk1MVjr6nr7500tl/N4AHABOWLUQAA7dt3nPp778sYvm33P/Fjz8yLQ3PPboI0iaFQSui8BzVDFHAt+j8DwJckrlchwnHFxwJAlPLRhUeQql1VHbmUmWF1PD8x1HgttzhAK3dFVLkHN4rgK3xxB4CYqFJjqKNYReDYJ1YKxBUAqp7GYh5KTzuLyO50i+IQQgHALX8vnbVhaubdfUuP7Vt7fq0AgV7ScleDMBksT8ZteFoiI6DpyCcw7OOIrFTnRNX4di35LrO3qP+XAST+7ywoGjDYFnPH6vAK7H+mPmYu/+4V3nbDzmo7N6w6vO3LD4Q9u2bj1jx/ZtqFUrcB0PnksQqAKgvieXcSGAepMiTqQUjxOJitT1roiqXQ/FsTm4pgEK3K6jKYiS2A6H63J4npTcvpcg9BOEvsxWojQB4QnqCUclonCJsU8L23XvqPQxbU/XvJsZOsW5AE+rFFhJE2pCuo6kSzoGpd4kqDc4Gk0uY0eopHJCUKVkCzSbDOVyGQvmLsbCRYtvLRXDr4Wdix6OomRXUHj+Sjm8mOP3EuAAMHtmHwA8IYR4AsCjt1A2c8Palf+0Zcu2JQ/89mFHcAbfky1UiqGA70mpVm8C4xWO8SqH4HKZ9lXIuaNd1HZMS46auJQbQFvgdl2upLcCt8vgewy+F8P3ZJF/marOAM5QZQ7CRNckF1lfvoa0FamVBktxaXakXCuKuils+tUlt3blb/Zc2fmhWhMYGU/QaDIQImlcGMpAqcATINTDoiXHs/kLlj5BSfTeuYtO3Q9ga77sxe/b+L0FuB7qAWwdGx3dyjg7NwzD2WtOWHPNnXfc0RnXB0sFbxLdZY5CKEHXUWzivu0E2w/46C0JlEJJSRzH2H51Bk7G5q2piVYyXaNAenrrcLgug+dyeC6D5ybwXBnHQSkzbkeeoMk81Bmx0u+0Oz0ryaV0ViAnOqqPgnICyoXK1BHGKaNMpr4nUAoZSoUYPeUmJhoxHtrRgXIgOX/oE3REDB2lbsybP6e64aTTJpoRe/OMGXP2Uofu+n0Hth6/9wDXo7unB4KLXb29fXvGxydX+S452XP5t8aHtyZoPNLrYF/ZcyL0dI6ilrjYdmg2FgsKSjg8h0B4MvDJjkexzYDSvq64tysLi3ouTyW3VDqlBHcdBtdl8rjKOSWUm2AUwZAIgSYnCDjgMu10Un59XQE2de4QFdVnymUwZR7lTE0EbSZU0X+eI1AIE/R2NTB3xjA27a1jy+ACzCh7KAUES+f3V047ZdnIiWuWu2HgXjJ7zoK7g7A0Dgj+XArOv9TGH84vQRpLwllSHZ01a+DmUkd52c9/+rPFq9b/8ecWLV29qX9az0N1HjaWziFYsWAYQzWGWhNgyttCqHH40DZmN01V5PIvlUjfZfAUNZFJ1Arg6iUbbHEQolM2oJRICfCIE0RMlVhgQMKAmEmLRxSrVyIQJ7LnKOey/yjnUo/g6pixeUtLOaUcoZ+gXJzAIztrGK0VsXCe2+iZPuOh004/cdNfffCtn7v+musXl8udy/qnDdw8PFIZJYT8QYEb+AOS4Pbo6x8AZLBFrVndBkK8KxLqXHGwucqJcNI3335Bfdn5L9u28eP/GDnJuIDvJqCEQzbxkP85VHYn0Dxbl352HQHfleDxPZZmuVCiTIRU0hTXZUp6q1J0mSHFbcyBJlfOHS4pum5FzrmU2gmTSR6ECLiMgDuqiDwXQCLjRFxuQJkkHLU6Q6ngoBBSTERF3PTAsWzV8kW3f/6D7tanBhvv37zTYaViiM//7RfEsmULa0f7eb2Q4w8S4PYISksBo70lQgy/Bwh6Dgwf+vyaVbf4u7buYSuWlNaWS866ffuGMFGZBOCiXPQR+gKFUEpFxiUfdigQ+JLblosRHApM1DwkTHN5yb8DL5GKpe4Alc8xI9JSUk0IEtV9waOAcORZMQPG6g4cCnQXOCgRCFyTlJEwIIoYGOdwHYAxWQ7Z80sodvQiKOIBPxh6sLt/sfPBP31TJJyZn4Soj776bBnl95XLjvaTeXHGHzzA84OQPgAYBfBnAHDnnbeDEJzBkuScfYNjb65W68spiVAZ2Yn+7jo6C2PYNwQcHC6iv4egsyQQ+gmm9UxidLKKex8LsXggQOA7cGgMSjmKQRNhUEfMCBgLEEOWW9AJu4ADj1IVKBWhGgNEeCi6UoL7LlAucqw+dgJ3bg6wd6KABS5HOZRtQYqhwP6RBKMVYM70IoKggOOPX45pvSG8INwSsY5rwsD/WUOIWxcdtxHAXx7t237Uxn85gOfHqaduBIBbh4ZGbl2+ArclLFk8WRnjd/xmiC9a1L+w3LPk4zvuHERHTzc8bwgsOYhiMIHB0WF84/oyntpXxhtPL2DRbAHXieE5DEw08J2bHdQbZZx3ko+ujiY6kzpYLEA9BrgUPQHQV+B47WkTqMc1/PBX01CLA/SEHB0hwYJZDt50FsfJKwfxpas7cWC0hJInsGjeNKxfPRsTjTGMR3MwMlT5YtGZeHLtupPotGk91HOd7QK4uVjqPdq39iUx/ssDXI9p03oB4Ga9L8R2AH73rn0H7mLBNvSWO+KVi5b/945C/Mr+7ioe313FgbFtWDgjRpT4aMQJCAVKxQqe2NvEv/xkGub39GDJdILjl0R4cAvFtXd045yTElTjCipjBEv6KU5cEGLurEP49cPjGDw0E51lD9N7Cfq6AwyNlPCyE+qYPn8DnnyqGwNdBOWS8/OB3ugrhbDkRd5xIP78W8EbY4uXzDrat/AlOf4/wKcYhCwGgDEANwDAyPABQOBxSpIZhTDmndUIM3sPoa84As/3AEKRJLW4Z+ZJly/rGD/vzy7042a9F9MGCApdFQyzKsqd3XjFCU2QEDgwWMDCAQcdfRT7qouw4djQC8Pum7Y9+ujlhdD3XNdDteFCkDJeccoJ2DVYRkdAqO87gxB4cvbsZ9az/b/q+MOw5r9EBpv8dwBkBo8Gu+5+GGL3/h4snkMws7+Gg2MN3LOpB6esSnDPlgjDIz4Guh0snkOx62AFj+wMyKql/eNCiMF3/9GrjvZP+YMZ/w+BP44J0OCIHAAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxOTozMzozNSswMDowMPcYO0EAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTk6MzM6MzUrMDA6MDCGRYP9AAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 16350558
    {'hecke_orbit_code': 4503599660926216, 'n': 1, 'trace_an': 1}
  • id: 16350559
    {'hecke_orbit_code': 4503599660926216, 'n': 2, 'trace_an': 0}
  • id: 16350560
    {'hecke_orbit_code': 4503599660926216, 'n': 3, 'trace_an': -3}
  • id: 16350561
    {'hecke_orbit_code': 4503599660926216, 'n': 4, 'trace_an': 0}
  • id: 16350562
    {'hecke_orbit_code': 4503599660926216, 'n': 5, 'trace_an': 0}
  • id: 16350563
    {'hecke_orbit_code': 4503599660926216, 'n': 6, 'trace_an': 0}
  • id: 16350564
    {'hecke_orbit_code': 4503599660926216, 'n': 7, 'trace_an': -1}
  • id: 16350565
    {'hecke_orbit_code': 4503599660926216, 'n': 8, 'trace_an': 0}
  • id: 16350566
    {'hecke_orbit_code': 4503599660926216, 'n': 9, 'trace_an': 6}
  • id: 16350567
    {'hecke_orbit_code': 4503599660926216, 'n': 10, 'trace_an': 0}
  • id: 16350568
    {'hecke_orbit_code': 4503599660926216, 'n': 11, 'trace_an': -6}
  • id: 16350569
    {'hecke_orbit_code': 4503599660926216, 'n': 12, 'trace_an': 0}
  • id: 16350570
    {'hecke_orbit_code': 4503599660926216, 'n': 13, 'trace_an': 1}
  • id: 16350571
    {'hecke_orbit_code': 4503599660926216, 'n': 14, 'trace_an': 0}
  • id: 16350572
    {'hecke_orbit_code': 4503599660926216, 'n': 15, 'trace_an': 0}
  • id: 16350573
    {'hecke_orbit_code': 4503599660926216, 'n': 16, 'trace_an': 0}
  • id: 16350574
    {'hecke_orbit_code': 4503599660926216, 'n': 17, 'trace_an': 0}
  • id: 16350575
    {'hecke_orbit_code': 4503599660926216, 'n': 18, 'trace_an': 0}
  • id: 16350576
    {'hecke_orbit_code': 4503599660926216, 'n': 19, 'trace_an': 0}
  • id: 16350577
    {'hecke_orbit_code': 4503599660926216, 'n': 20, 'trace_an': 0}
  • id: 16350578
    {'hecke_orbit_code': 4503599660926216, 'n': 21, 'trace_an': 3}
  • id: 16350579
    {'hecke_orbit_code': 4503599660926216, 'n': 22, 'trace_an': 0}
  • id: 16350580
    {'hecke_orbit_code': 4503599660926216, 'n': 23, 'trace_an': 1}
  • id: 16350581
    {'hecke_orbit_code': 4503599660926216, 'n': 24, 'trace_an': 0}
  • id: 16350582
    {'hecke_orbit_code': 4503599660926216, 'n': 25, 'trace_an': -5}
  • id: 16350583
    {'hecke_orbit_code': 4503599660926216, 'n': 26, 'trace_an': 0}
  • id: 16350584
    {'hecke_orbit_code': 4503599660926216, 'n': 27, 'trace_an': -9}
  • id: 16350585
    {'hecke_orbit_code': 4503599660926216, 'n': 28, 'trace_an': 0}
  • id: 16350586
    {'hecke_orbit_code': 4503599660926216, 'n': 29, 'trace_an': -3}
  • id: 16350587
    {'hecke_orbit_code': 4503599660926216, 'n': 30, 'trace_an': 0}
  • id: 16350588
    {'hecke_orbit_code': 4503599660926216, 'n': 31, 'trace_an': -3}
  • id: 16350589
    {'hecke_orbit_code': 4503599660926216, 'n': 32, 'trace_an': 0}
  • id: 16350590
    {'hecke_orbit_code': 4503599660926216, 'n': 33, 'trace_an': 18}
  • id: 16350591
    {'hecke_orbit_code': 4503599660926216, 'n': 34, 'trace_an': 0}
  • id: 16350592
    {'hecke_orbit_code': 4503599660926216, 'n': 35, 'trace_an': 0}
  • id: 16350593
    {'hecke_orbit_code': 4503599660926216, 'n': 36, 'trace_an': 0}
  • id: 16350594
    {'hecke_orbit_code': 4503599660926216, 'n': 37, 'trace_an': -8}
  • id: 16350595
    {'hecke_orbit_code': 4503599660926216, 'n': 38, 'trace_an': 0}
  • id: 16350596
    {'hecke_orbit_code': 4503599660926216, 'n': 39, 'trace_an': -3}
  • id: 16350597
    {'hecke_orbit_code': 4503599660926216, 'n': 40, 'trace_an': 0}
  • id: 16350598
    {'hecke_orbit_code': 4503599660926216, 'n': 41, 'trace_an': 9}
  • id: 16350599
    {'hecke_orbit_code': 4503599660926216, 'n': 42, 'trace_an': 0}
  • id: 16350600
    {'hecke_orbit_code': 4503599660926216, 'n': 43, 'trace_an': 4}
  • id: 16350601
    {'hecke_orbit_code': 4503599660926216, 'n': 44, 'trace_an': 0}
  • id: 16350602
    {'hecke_orbit_code': 4503599660926216, 'n': 45, 'trace_an': 0}
  • id: 16350603
    {'hecke_orbit_code': 4503599660926216, 'n': 46, 'trace_an': 0}
  • id: 16350604
    {'hecke_orbit_code': 4503599660926216, 'n': 47, 'trace_an': 13}
  • id: 16350605
    {'hecke_orbit_code': 4503599660926216, 'n': 48, 'trace_an': 0}
  • id: 16350606
    {'hecke_orbit_code': 4503599660926216, 'n': 49, 'trace_an': 1}
  • id: 16350607
    {'hecke_orbit_code': 4503599660926216, 'n': 50, 'trace_an': 0}
  • id: 16350608
    {'hecke_orbit_code': 4503599660926216, 'n': 51, 'trace_an': 0}
  • id: 16350609
    {'hecke_orbit_code': 4503599660926216, 'n': 52, 'trace_an': 0}
  • id: 16350610
    {'hecke_orbit_code': 4503599660926216, 'n': 53, 'trace_an': 4}
  • id: 16350611
    {'hecke_orbit_code': 4503599660926216, 'n': 54, 'trace_an': 0}
  • id: 16350612
    {'hecke_orbit_code': 4503599660926216, 'n': 55, 'trace_an': 0}
  • id: 16350613
    {'hecke_orbit_code': 4503599660926216, 'n': 56, 'trace_an': 0}
  • id: 16350614
    {'hecke_orbit_code': 4503599660926216, 'n': 57, 'trace_an': 0}
  • id: 16350615
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  • id: 16350616
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  • id: 16350617
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  • id: 16350618
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  • id: 16350619
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  • id: 16350620
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  • id: 16350621
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  • id: 16350622
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  • id: 16350623
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  • id: 16350624
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  • id: 16350625
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  • id: 16350626
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  • id: 16350627
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  • id: 16350628
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  • id: 16350629
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  • id: 16350630
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  • id: 16350631
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  • id: 16350632
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  • id: 16350633
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  • id: 16350634
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  • id: 16350635
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  • id: 16350636
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  • id: 16350637
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  • id: 16350638
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  • id: 16350639
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  • id: 16350640
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  • id: 16350641
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  • id: 16350642
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  • id: 16350643
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  • id: 16350644
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  • id: 16350645
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  • id: 16350646
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  • id: 16350647
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  • id: 16350648
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  • id: 16350649
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  • id: 16350650
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  • id: 16350651
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  • id: 16350652
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  • id: 16350653
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  • id: 16350654
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  • id: 16350655
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  • id: 16350656
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  • id: 16350657
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  • id: 16350658
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  • id: 16350659
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  • id: 16350660
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  • id: 16350661
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  • id: 16350662
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  • id: 16350663
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  • id: 16350664
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  • id: 16350665
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  • id: 16350666
    {'hecke_orbit_code': 4503599660926216, 'n': 128, 'trace_an': 0}
  • id: 16350667
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  • id: 16350668
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  • id: 16350669
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  • id: 16350670
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  • id: 16350671
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  • id: 16350672
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  • id: 16350673
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  • id: 16350674
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  • id: 16350675
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  • id: 16350676
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  • id: 16350677
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  • id: 16350678
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  • id: 16350679
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  • id: 16350680
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  • id: 16350681
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  • id: 16350682
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  • id: 16350683
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  • id: 16350684
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  • id: 16350685
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  • id: 16350686
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  • id: 16350687
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  • id: 16350688
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  • id: 16350689
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  • id: 16350690
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  • id: 16350691
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  • id: 16350692
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  • id: 16350693
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  • id: 16350694
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  • id: 16350695
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  • id: 16350696
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  • id: 16350697
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  • id: 16350698
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  • id: 16350699
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  • id: 16350700
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  • id: 16350701
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  • id: 16350702
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  • id: 16350703
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  • id: 16350704
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  • id: 16350705
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  • id: 16350706
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  • id: 16350707
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  • id: 16350708
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  • id: 16350709
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  • id: 16350710
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  • id: 16350711
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  • id: 16350712
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  • id: 16350713
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  • id: 16350714
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  • id: 16350715
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  • id: 16350716
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  • id: 16350717
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  • id: 16350718
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  • id: 16350719
    {'hecke_orbit_code': 4503599660926216, 'n': 397, 'trace_an': 1}
  • id: 16350720
    {'hecke_orbit_code': 4503599660926216, 'n': 401, 'trace_an': -18}
  • id: 16350721
    {'hecke_orbit_code': 4503599660926216, 'n': 409, 'trace_an': 19}
  • id: 16350722
    {'hecke_orbit_code': 4503599660926216, 'n': 419, 'trace_an': 28}
  • id: 16350723
    {'hecke_orbit_code': 4503599660926216, 'n': 421, 'trace_an': 20}
  • id: 16350724
    {'hecke_orbit_code': 4503599660926216, 'n': 431, 'trace_an': -18}
  • id: 16350725
    {'hecke_orbit_code': 4503599660926216, 'n': 433, 'trace_an': -10}
  • id: 16350726
    {'hecke_orbit_code': 4503599660926216, 'n': 439, 'trace_an': -1}
  • id: 16350727
    {'hecke_orbit_code': 4503599660926216, 'n': 443, 'trace_an': 3}
  • id: 16350728
    {'hecke_orbit_code': 4503599660926216, 'n': 449, 'trace_an': 30}
  • id: 16350729
    {'hecke_orbit_code': 4503599660926216, 'n': 457, 'trace_an': 8}
  • id: 16350730
    {'hecke_orbit_code': 4503599660926216, 'n': 461, 'trace_an': 19}
  • id: 16350731
    {'hecke_orbit_code': 4503599660926216, 'n': 463, 'trace_an': 16}
  • id: 16350732
    {'hecke_orbit_code': 4503599660926216, 'n': 467, 'trace_an': 18}
  • id: 16350733
    {'hecke_orbit_code': 4503599660926216, 'n': 479, 'trace_an': 14}
  • id: 16350734
    {'hecke_orbit_code': 4503599660926216, 'n': 487, 'trace_an': -7}
  • id: 16350735
    {'hecke_orbit_code': 4503599660926216, 'n': 491, 'trace_an': -19}
  • id: 16350736
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  • id: 16350737
    {'hecke_orbit_code': 4503599660926216, 'n': 503, 'trace_an': 16}
  • id: 16350738
    {'hecke_orbit_code': 4503599660926216, 'n': 509, 'trace_an': 27}
  • id: 16350739
    {'hecke_orbit_code': 4503599660926216, 'n': 512, 'trace_an': 0}
  • id: 16350740
    {'hecke_orbit_code': 4503599660926216, 'n': 521, 'trace_an': -16}
  • id: 16350741
    {'hecke_orbit_code': 4503599660926216, 'n': 523, 'trace_an': -30}
  • id: 16350742
    {'hecke_orbit_code': 4503599660926216, 'n': 529, 'trace_an': 1}
  • id: 16350743
    {'hecke_orbit_code': 4503599660926216, 'n': 541, 'trace_an': -7}
  • id: 16350744
    {'hecke_orbit_code': 4503599660926216, 'n': 547, 'trace_an': -19}
  • id: 16350745
    {'hecke_orbit_code': 4503599660926216, 'n': 557, 'trace_an': -10}
  • id: 16350746
    {'hecke_orbit_code': 4503599660926216, 'n': 563, 'trace_an': 26}
  • id: 16350747
    {'hecke_orbit_code': 4503599660926216, 'n': 569, 'trace_an': -36}
  • id: 16350748
    {'hecke_orbit_code': 4503599660926216, 'n': 571, 'trace_an': -34}
  • id: 16350749
    {'hecke_orbit_code': 4503599660926216, 'n': 577, 'trace_an': 27}
  • id: 16350750
    {'hecke_orbit_code': 4503599660926216, 'n': 587, 'trace_an': -27}
  • id: 16350751
    {'hecke_orbit_code': 4503599660926216, 'n': 593, 'trace_an': -38}
  • id: 16350752
    {'hecke_orbit_code': 4503599660926216, 'n': 599, 'trace_an': 12}
  • id: 16350753
    {'hecke_orbit_code': 4503599660926216, 'n': 601, 'trace_an': -29}
  • id: 16350754
    {'hecke_orbit_code': 4503599660926216, 'n': 607, 'trace_an': -8}
  • id: 16350755
    {'hecke_orbit_code': 4503599660926216, 'n': 613, 'trace_an': 14}
  • id: 16350756
    {'hecke_orbit_code': 4503599660926216, 'n': 617, 'trace_an': -36}
  • id: 16350757
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  • id: 16350758
    {'hecke_orbit_code': 4503599660926216, 'n': 625, 'trace_an': 25}
  • id: 16350759
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  • id: 16350760
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  • id: 16350761
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  • id: 16350762
    {'hecke_orbit_code': 4503599660926216, 'n': 647, 'trace_an': 21}
  • id: 16350763
    {'hecke_orbit_code': 4503599660926216, 'n': 653, 'trace_an': 39}
  • id: 16350764
    {'hecke_orbit_code': 4503599660926216, 'n': 659, 'trace_an': 38}
  • id: 16350765
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  • id: 16350766
    {'hecke_orbit_code': 4503599660926216, 'n': 673, 'trace_an': 19}
  • id: 16350767
    {'hecke_orbit_code': 4503599660926216, 'n': 677, 'trace_an': -28}
  • id: 16350768
    {'hecke_orbit_code': 4503599660926216, 'n': 683, 'trace_an': 29}
  • id: 16350769
    {'hecke_orbit_code': 4503599660926216, 'n': 691, 'trace_an': -20}
  • id: 16350770
    {'hecke_orbit_code': 4503599660926216, 'n': 701, 'trace_an': 18}
  • id: 16350771
    {'hecke_orbit_code': 4503599660926216, 'n': 709, 'trace_an': 32}
  • id: 16350772
    {'hecke_orbit_code': 4503599660926216, 'n': 719, 'trace_an': -8}
  • id: 16350773
    {'hecke_orbit_code': 4503599660926216, 'n': 727, 'trace_an': 12}
  • id: 16350774
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  • id: 16350775
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  • id: 16350776
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  • id: 16350777
    {'hecke_orbit_code': 4503599660926216, 'n': 743, 'trace_an': 0}
  • id: 16350778
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  • id: 16350779
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  • id: 16350780
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  • id: 16350781
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  • id: 16350782
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  • id: 16350783
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  • id: 16350784
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  • id: 16350785
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  • id: 16350786
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  • id: 16350787
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  • id: 16350788
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  • id: 16350789
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  • id: 16350790
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  • id: 16350791
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  • id: 16350792
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  • id: 16350793
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  • id: 16350794
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  • id: 16350795
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  • id: 16350796
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  • id: 16350797
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  • id: 16350798
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  • id: 16350799
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  • id: 16350800
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  • id: 16350801
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  • id: 16350802
    {'hecke_orbit_code': 4503599660926216, 'n': 911, 'trace_an': 10}
  • id: 16350803
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  • id: 16350804
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  • id: 16350805
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  • id: 16350806
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  • id: 16350807
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  • id: 16350808
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  • id: 16350809
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  • id: 16350810
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  • id: 16350811
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  • id: 16350812
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  • id: 16350813
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  • id: 16350814
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  • id: 16350815
    {'hecke_orbit_code': 4503599660926216, 'n': 997, 'trace_an': -14}