Newform data - 1200.2.v.m

Formats: - HTML - YAML - JSON - 2025-12-08T18:13:49.546672

• 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': 4800, 'analytic_conductor': 9.582048242553647, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 15, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 4, 'char_parity': 1, 'char_values': [1200, 4, [751, 901, 401, 577], [4, 4, 2, 1]], 'cm_discs': [], 'conrey_index': 257, 'dim': 16, 'field_disc': 6040479020157644046336, 'field_disc_factorization': [[2, 32], [3, 8], [11, 8]], 'field_poly': [6561, 0, 0, 0, -567, 0, 0, 0, -32, 0, 0, 0, -7, 0, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [16, 0, 0, 0, 41, 0, 0, 0, 1]], [11, [16, 0, 19, 0, 1]], [17, [256, 0, 0, 0, 1649, 0, 0, 0, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54044638671013040, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 4096, 'hecke_ring_index_factorization': [[2, 12]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 2, 5, 3, -1, 4, 0], [1, 1, 15, 4, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 3, 2, -1, 2, 0], [1, 2, 15, 5, 1, 4, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1200.2.v.m', 'level': 1200, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '600.2.r.f', 'nf_label': '16.0.6040479020157644046336.1', 'prim_orbit_index': 5, 'qexp_display': 'q+\\beta _{9}q^{3}+(-\\beta _{1}-\\beta _{2}-\\beta _{5})q^{7}+(-\\beta _{3}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1200.2.v', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1713833890520531194, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '13.816', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4415.285', 'prec': 27}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1889207.068', 'prec': 37}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.880', 'prec': 17}, 'traces': [16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, -376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 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-380, 0, 0, 0, 0, 0, 0, 0, 0, 0, -568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -236, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 400, 0, 0, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -340, 0, 0, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 292, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 268, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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-13, 0, 0, 0, 13, -7, 0], [0, 16, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0], [0, 0, 0, -60, 8, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0], [0, 0, 0, 0, 18, 0, -15, 0, 0, 0, 0, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -12, -14, 0, -2, 0, 0, 0, 0, 0], [0, -4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 11, 0, -6], [0, 0, 0, 0, 0, 0, 0, -5, 16, 0, 21, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, -17, 0, 0, 0, 17, 9, 0], [0, 0, 0, 0, 4, 0, 9, 0, 0, 0, 0, 13, 0, 0, 0, 0], [25, 0, 0, 0, 0, 0, 0, 9, 0, 0, 9, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 16, 0, 3], [0, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, -7, 0, 0, 0, 0], [0, -9, -32, 0, 0, -9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, -21, 0, 0, 0, 21, -6, 0], [0, -2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 19, -3, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0]], 'char_orbit_index': 22, 'field_poly': [6561, 0, 0, 0, -567, 0, 0, 0, -32, 0, 0, 0, -7, 0, 0, 0, 1], 'hecke_orbit_code': 54044638671013040, 'hecke_ring_character_values': [[751, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [901, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [401, [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [577, [0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 4860, 7290, 7290, 2430, 14580, 810, 540, 2187, 90, 7290, 4860, 7290, 43740, 540], 'hecke_ring_inverse_denominators': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 2, -1, 1], [3, 0, 0, 0, 0, 0, 0, -3, -2, 0, -4, 0, 0, 0, 0, 0], [0, 0, -8, 0, 0, -1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, -5, -4, 0, 10, 0, 0, 0, 0, 6, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13, 24, 6], [37, 0, 0, 0, 0, 0, 0, -18, 18, 0, 1, 0, 0, 0, 0, 0], [0, 74, 37, 0, 0, 74, 0, 0, 0, 0, 0, 0, 17, 0, 0, 0], [0, 0, 0, -111, 40, 0, -20, 0, 0, 0, 0, 51, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, -253, 0, 0, 0, 0, -80, 20], [679, 0, 0, 0, 0, 0, 0, -60, -100, 0, -40, 0, 0, 0, 0, 0], [0, 599, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0], [0, 0, 0, 359, 719, 0, 180, 0, 0, 0, 0, -180, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, -718, 0, 0, 0, 718, -359, 899]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 6885, 0, 0, 0, -296, 0, 0, 0, -4, 0, 0, 0, -11, 0, 0], [0, 0, 6561, 0, 0, 0, 62, 0, 0, 0, -32, 0, 0, 0, -7, 0], [0, 0, 729, 0, 0, 0, -62, 0, 0, 0, 32, 0, 0, 0, 7, 0], [0, -6561, 0, 0, 0, -62, 0, 0, 0, 32, 0, 0, 0, 7, 0, 0], [0, 0, -7533, 0, 0, 0, 1012, 0, 0, 0, -52, 0, 0, 0, 19, 0], [5751, 0, 0, 0, 62, 0, 0, 0, -32, 0, 0, 0, -7, 0, 0, 0], [2943, 0, 0, 0, 52, 0, 0, 0, 8, 0, 0, 0, -5, 0, 0, 0], [0, 0, 0, -567, 0, 0, 0, -32, 0, 0, 0, -7, 0, 0, 0, 1], [-657, 0, 0, 0, -32, 0, 0, 0, 2, 0, 0, 0, 1, 0, 0, 0], [0, 0, 12231, 0, 0, 0, 382, 0, 0, 0, 38, 0, 0, 0, -17, 0], [0, 20979, 0, 0, 0, 1184, 0, 0, 0, 16, 0, 0, 0, -37, 0, 0], [0, 0, 0, 6561, 0, 0, 0, 62, 0, 0, 0, -32, 0, 0, 0, -7], [0, 0, 0, 28593, 0, 0, 0, 2024, 0, 0, 0, -104, 0, 0, 0, -43], [0, 0, 0, -359, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 16, 'label': '1200.2.v.m', 'level': 1200, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 4800, 'analytic_conductor': 9.582048242553647, 'char_conductor': 15, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 4, 'char_parity': 1, 'char_values': [1200, 4, [751, 901, 401, 577], [4, 4, 2, 1]], 'conrey_index': 257, 'cusp_dim': 408, 'dim': 68, 'eis_dim': 144, 'eis_new_dim': 8, 'hecke_cutter_primes': [7, 11, 17], 'hecke_orbit_code': 1443142567088, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 8, 16], 'label': '1200.2.v', 'level': 1200, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 552, 'mf_new_dim': 76, 'num_forms': 13, 'prim_orbit_index': 5, 'relative_dim': 34, 'sturm_bound': 480, 'trace_bound': 21, 'trace_display': [0, -2, 0, -4], 'traces': [68, 0, -2, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -14, 0, 0, 0, 24, 0, -4, 0, 0, 0, 20, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, -20, 0, 0, 0, 24, 0, 48, 0, 0, 0, 20, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 20, 0, 0, 0, 32, 0, 8, 0, 0, 0, -4, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -40, 0, 0, 0, -68, 0, -72, 0, 0, 0, -36, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -70, 0, 0, 0, 120, 0, 44, 0, 0, 0, -44, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 48, 0, 0, 0, -136, 0, 92, 0, 0, 0, 136, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 44, 0, 0, 0, -104, 0, 28, 0, 0, 0, 96, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 20, 0, 0, 0, 88, 0, -122, 0, 0, 0, -24, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -108, 0, 0, 0, 64, 0, -20, 0, 0, 0, 68, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, -84, 0, 0, 0, 88, 0, 160, 0, 0, 0, 52, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 112, 0, 0, 0, -416, 0, -104, 0, 0, 0, -68, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -172, 0, 0, 0, 0, 0, -60, 0, 0, 0, -196, 0, -158, 0, 0, 0, -180, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -212, 0, 0, 0, 0, 0, -72, 0, 0, 0, -72, 0, 28, 0, 0, 0, -44, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, 76, 0, 0, 0, -104, 0, 164, 0, 0, 0, -8, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 108, 0, 0, 0, -176, 0, 88, 0, 0, 0, 60, 0, 0, 0, 0, 0, -236, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 172, 0, 0, 0, 184, 0, -148, 0, 0, 0, -68, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -70, 0, 0, 0, 456, 0, -84, 0, 0, 0, 40, 0, 0, 0, 0, 0, 220, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, -96, 0, 0, 0, 376, 0, 164, 0, 0, 0, 276, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 108, 0, 0, 0, 264, 0, -4, 0, 0, 0, -164, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -140, 0, 0, 0, -24, 0, -152, 0, 0, 0, -52, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -56, 0, 0, 0, 328, 0, 80, 0, 0, 0, -180, 0, 0, 0, 0, 0, 220, 0, 0, 0, 0, 0, 0, 0, 296, 0, 0, 0, 0, 0, 112, 0, 0, 0, -296, 0, 116, 0, 0, 0, -8, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, 268, 0, 0, 0, 0, 0, 136, 0, 0, 0, 32, 0, 24, 0, 0, 0, 80, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 112, 0, 0, 0, 136, 0, -204, 0, 0, 0, -292, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, -132, 0, 0, 0, 16, 0, -132, 0, 0, 0, 196, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -84, 0, 0, 0, 208, 0, 92, 0, 0, 0, -92, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 76, 0, 0, 0, -40, 0, -216, 0, 0, 0, -200, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, -452, 0, 0, 0, 0, 0, -104, 0, 0, 0, -244, 0, -136, 0, 0, 0, -12, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -30, 0, 0, 0, -32, 0, 112, 0, 0, 0, -140, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, -392, 0, 0, 0, 0, 0, 228, 0, 0, 0, -40, 0, 116, 0, 0, 0, 228, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, 80, 0, 0, 0, -552, 0, 156, 0, 0, 0, 268, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -436, 0, 0, 0, 0, 0, 264, 0, 0, 0, 20, 0, -172, 0, 0, 0, 28, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, -68, 0, 0, 0, -488, 0, -96, 0, 0, 0, 116, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 671990
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 18, 'target_dim': 16, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '600.2.r.f', 'target_level': 600, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 671991
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 18, 'target_dim': 16, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '600.2.r.f', 'target_level': 600, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 671992
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 18, 'target_dim': 16, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '600.2.r.f', 'target_level': 600, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 671993
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 18, 'target_dim': 16, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '600.2.r.f', 'target_level': 600, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 671994
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 18, 'target_dim': 16, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '600.2.r.f', 'target_level': 600, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 671995
    {'conductor': 60, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 18, 'target_dim': 16, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '600.2.r.f', 'target_level': 600, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 671996
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 22, 'target_dim': 16, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1200.2.v.m', 'target_level': 1200, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 671997
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 22, 'target_dim': 16, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1200.2.v.m', 'target_level': 1200, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 671998
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 22, 'target_dim': 16, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1200.2.v.m', 'target_level': 1200, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 671999
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 22, 'target_dim': 16, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1200.2.v.m', 'target_level': 1200, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 672000
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 22, 'target_dim': 16, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1200.2.v.m', 'target_level': 1200, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 672001
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 16, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1200.2.v.m', 'source_level': 1200, 'target_char_orbit': 22, 'target_dim': 16, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1200.2.v.m', 'target_level': 1200, 'twist_class_label': '600.2.r.f', 'twist_class_level': 600, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1762300
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 54044638671013040, 'p': 2}
  • id: 1762301
    {'charpoly_factorization': [[[6561, 0, 0, 0, -567, 0, 0, 0, -32, 0, 0, 0, -7, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 54044638671013040, 'p': 3}
  • id: 1762302
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 54044638671013040, 'p': 5}
  • id: 1762303
    {'charpoly_factorization': [[[16, 0, 0, 0, 41, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 54044638671013040, 'p': 7}
  • id: 1762304
    {'charpoly_factorization': [[[16, 0, 19, 0, 1], 4]], 'hecke_orbit_code': 54044638671013040, 'p': 11}
  • id: 1762305
    {'charpoly_factorization': [[[331776, 0, 0, 0, 1449, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 54044638671013040, 'p': 13}
  • id: 1762306
    {'charpoly_factorization': [[[256, 0, 0, 0, 1649, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 54044638671013040, 'p': 17}
  • id: 1762307
    {'charpoly_factorization': [[[841, 0, 74, 0, 1], 4]], 'hecke_orbit_code': 54044638671013040, 'p': 19}
  • id: 1762308
    {'charpoly_factorization': [[[331776, 0, 0, 0, 5904, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 54044638671013040, 'p': 23}
  • id: 1762309
    {'charpoly_factorization': [[[1024, 0, -112, 0, 1], 4]], 'hecke_orbit_code': 54044638671013040, 'p': 29}
  • id: 1762310
    {'charpoly_factorization': [[[-2, -5, 1], 8]], 'hecke_orbit_code': 54044638671013040, 'p': 31}
  • id: 1762311
    {'charpoly_factorization': [[[4096, 0, 0, 0, 656, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 54044638671013040, 'p': 37}
  • id: 1762312
    {'charpoly_factorization': [[[4624, 0, 139, 0, 1], 4]], 'hecke_orbit_code': 54044638671013040, 'p': 41}
  • id: 1762313
    {'charpoly_factorization': [[[11316496, 0, 0, 0, 9401, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 54044638671013040, 'p': 43}
  • id: 1762314
    {'charpoly_factorization': [[[4096, 0, 0, 0, 1], 4]], 'hecke_orbit_code': 54044638671013040, 'p': 47}
  • id: 1762315
    {'charpoly_factorization': [[[4096, 0, 0, 0, 13328, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 54044638671013040, 'p': 53}
  • id: 1762316
    {'charpoly_factorization': [[[4096, 0, -172, 0, 1], 4]], 'hecke_orbit_code': 54044638671013040, 'p': 59}
  • id: 1762317
    {'charpoly_factorization': [[[-6, 3, 1], 8]], 'hecke_orbit_code': 54044638671013040, 'p': 61}
  • id: 1762318
    {'charpoly_factorization': [[[9, 0, 0, 0, 1], 4]], 'hecke_orbit_code': 54044638671013040, 'p': 67}
  • id: 1762319
    {'charpoly_factorization': [[[1024, 0, 112, 0, 1], 4]], 'hecke_orbit_code': 54044638671013040, 'p': 71}
  • id: 1762320
    {'charpoly_factorization': [[[59969536, 0, 0, 0, 19481, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 54044638671013040, 'p': 73}
  • id: 1762321
    {'charpoly_factorization': [[[576, 0, 84, 0, 1], 4]], 'hecke_orbit_code': 54044638671013040, 'p': 79}
  • id: 1762322
    {'charpoly_factorization': [[[16777216, 0, 0, 0, 17729, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 54044638671013040, 'p': 83}
  • id: 1762323
    {'charpoly_factorization': [[[64, 0, -259, 0, 1], 4]], 'hecke_orbit_code': 54044638671013040, 'p': 89}
  • id: 1762324
    {'charpoly_factorization': [[[21381376, 0, 0, 0, 10073, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 54044638671013040, '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': 22, 'hecke_orbit': 13, 'label': '1200.2.v.m', 'level': 1200, 'portrait': 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i2I04CFjmQw8gk8gTCatVOaNZMpi52QzkAwTHyW+oINk5qFtubURUXND9gwA1vWRqyfHbJudsSG2RFb1hu2bVBcsdWnrpocPzXB154MePhQwuMnY1LV5Tte1uZtLzHU1SyHTk5x/JzH2UspFzJwH5k33HDVHL/8riW2rpnk3KUpLi3VWGj7LLYlS92Ubi+lNxQcOjHP4dPtKx47fOnlx89c3HHi3KVbb/y2t0f33Pbx5xoS39DjbzWDLy61iSKDUrz77keOveQXf/sT8h0vOfySf/G2s97c0noW2xMstBsstAMW2h4LbVhspyy2YxaWUy4sw9EFwdo1y/z7H1rghXsanL44w7lLTc7Ne1xcMFyYTzgzl3KpmzA1M+Sl1/R48T4IZJ1QhVxcrHF+3uPCoqA/giTR1AJNs5YyPZmggZMXEjo92L7ep1kfYYwAEdAbaLZtGLGw7IGxUmS5B6MEDIbFdsTmdT7dgUIog9AjJmo+2zYOWe4LTp7zSLXH7ISkVROEPiSJoD+SXFiUnF8wXFxKCMMh+Ak3XtnjJVcJ1k7UWVia4PTFkHPzcHE+4eJiwtlFOLpgeMGV8/zqDy2xYWqCUxdmuLBQZ24pYL4tWVxOWerELHVSFrua+a7kdAeWFzv85r+Iku9/Xe2rwZqf1EHjiq9K9C+m+IS1iecaKs/4+FvL4B/840/wkhuv5+d+7ud+7SOf+PK/eP+fffGy/SfbO46c68uXXt1j16aUVHsYozDGsjdGAhIQCGHwhCGQcG6hzv1HJNfsXmTf1iGNGvieJPAVQeDRrEsavqTf8zl4osYXHg44eWlEJ4k5eHrE+tlF3vzSJa65rMsL9rU5MZ8w3xc0wiHHzhnanSZX75IsD1P2n1C0Gh5PnYTLNxmGUcowDfC8mOkWHDgdorwUXyZ4PgxGkhfu6zPoS665LKUzSDl5rsXODYpmI2J5ZFg31Wep1+FjX4ZHj6c8fnzI9k0LXLu3w/RMxJtu7PLdrzDs3tAijac4fnaSo2d8Tl/QnLkUc+ZSytFLglPLMc/bM8e//6Eu66emOH1hhosLDeaWAxbakqV2Srsbs9xLWeoZFnuCi33FUifhhn3z/MxbLsm6J3ZcunBy52CQvCic2FWvN6a/+PDXPs373v9nzzVkVn38rWTwj370L3neFZvVV+478m+Pn7rwSw89cUJdWIxYGCrO9Q3XbL/Ib/7UHNftbnBxYZqFdoPFdo3Fts9ix2OpC0vtlKVOwmI3Yb4Np5cEXn3ITVct8j2viNi5rslyb4JLi3XmFgPm24LFtpUIS11NZ6DpjAz9YcLsRMy29RoQhL7hzCUfIUO2r1Ps3GTYtK7PxaURjx1u8fzLDY36Ek8emaHVjIgin9lpzWAIV2wb8pEvT7F3a8JoZFgzKYnTAa1ayFMnhtT9JtftSXj8WMTFhYDNsyE7N8K2DRFKxZyZh8A3CGHYvj5huiXpDkJ6fZ9O32exo1hchoW2ZrGdMt9OudCGhWHKts09vueV89y0z6PmT3B+foL5pRrzyx6LHcFSW7PcjVnqpiz3DAs9uNBVXFxOeOHeC7znpxa4fHOThfYES50aveEEqnZZGtQ3/trA7PrVgHPpy1/9nc81dFY8/lYB/OChQ9RrtfrZs2e2PfLoU+88fvLsfzx4+AyDWNIbwvLAMsq5bsILdl3gv/7UItfuqnNpaZqF5QZLnRqLHZ+ljsdSB9pdzXI3YambsNgxXGwLzvUMiB5ve1mbN71Qs2tjjShqsNSusdwLaHcVSz1Bty8YjgxRYkhTUNIQ+lAPDVMThnUzMZ4/5Oj5iCeOhOikyRteFOH5yzy0f5IdG+Hz9ye87OqQS+0BNU+RpDEz05DEPp6fsLDQ4KXXd/j8vS12boQHD4/wafD6F2oSMeCJoynHz9TwZMD6aY/ppqAeCoJAoAQkGqLYMIyg2zcs9zTdvma5r1noGQZpyvYtfd704jZve0kEusXC8iSXFutWb3c8ltqw3E1p9xKWM3Av9uF8RzHXSXnBnou856cuceX2OnNLUyx3G7R7IZ2eT7srCOpbqDXX/5uNW6/48y1bNp8aDoeDyy/f81xDqXj8rQH4yeNHWLt2bXD4yJEfOXT48HsffOhRsbDYk8ORpjfUdIeG7gCWB5JLA8n5bswLL7vEb/z4AtdfVmN+eYqF5SZLnZDlbsBS12O5K2h3De1eynI3od3TLPUMl7qC823N9FSfb3tBlxv3JWxfr5io+3S6NUJfAoookWgt0Ab6Q0BopltDDp81aBNx+4NNRv06l20OuOmaPrFe5s6Hp7jucp/DF3q0lyZ48TV9vvhQyPoZw/6Thn/01g77T4Ssn5F84WHFTVcoFvsdjp2e4bo9EXc+MSAZNbjxyoDdW4cMkh63PaQgFRw94zHR8PAE9AcSbQSpNsQJIDVeoGn3DM1WzNaNI15yRZ9ve37CbLPGxcVJFpbrLHXsuVnqCNo9aHcT2r2Edi+l3Tcs9iUXuoL5bsKL9s7xaz8+x7U7a8wtT7LcbdDphXT6Pt2+R7ev6A4EcVrTuy+/xuzYtftndu667EML83PRvr1/O0D+twLgSZLIaDR484Nf+/xl3V7yngcefMgfjGAYGQbDlP4wpTfU9IaG7kDQHgguDSTn2gk3XnGJd//4HM/fHbDcmWRuqUW7V2O5G7Dc82h3Fe0+dHuGTj+h00vpDTTtvmGuJ5jrQZyOuPbyARtmUnp9wxtfPGLHBk2SSjxpiGK447Eapy7V2Did8OTRGugG+7Yort+rCWt9HjrcZ26+yVU7mkxMLXHv4z43XF5job/M0tIEGzYY7t+v+IFX93hgv8eWdT7zvTZLizNcf0Wfe59MmalPcdVlPS6129z/9BR1r8kL9hr2bBuC7PHYccG6mZiLczF3PuYzjBVSQqoNOzZGfNuLI7o9xaZpzfWXQxQ1WGw3WGyHLPd8On1Fuyfp9KDTT+n0Urr9lE5fs9w3LA4kZzuC9mDETXvm+NUfW+IFl9ubo92t0+mHdPs+3YFHp6/oDSX9gaDbT+kPEp53/Qtibbx/9Y7vfvORZqP+Wd/39XONrec8kzka9Ynj/g+dPv7Qb86dPzRz4dISzbpNUwthwP5f9rAWoBAGKQ1SejxwaD2/+AGPt960yPe+epGdmyMuLEwQBnXqYUAj9GnWPbp1SWvgM9n07A0zSFk/0gxGhu4wZHGuxpnThijRnL2QEIYGEATK4ElBf6AQ+CR9j+ftEOzeZNi2uc8o7XLLA4oDR6Z53fNDrr9iiQ/fYghEgx2b+zx+r2LzlGLNRJ+aqhPFPpe60Kx5bFkvePRAxPV76rziunn+6OYBgd/itS8y+GGfL90f8fn7mjx9vM6uTQ12bExZOx2xc03M1TtSlNJ4ygCGRhiydiokin26/YAnD/u2RGFggdgbQG9o6PXt394dpPQGhs7AsDyAub7i4pKhMdnmZ98wx3feNOLaXU3Oz0/Q7tXoFuBW9AaK/lAyGAoGI0sAUQJ33fOAPzEx+5vr1m1YfOXLX/jPO73+H000G88pvp5TgMdRDwQ/du7Eve8+fuBLM6NBj3oYYDInxCAABcIuNUKAFLaTRkmDkimBlDx+eC2PHGpy+Nwl3vqSHi+5cshUa4LFdoNmp8bEIKDX9+zFGUoGQ4/+yGM4MgwjTRQb4tiQpPaIkgCjQSqB7wlqgWCqJZhuwYY1mi3r+6yZbnPrQ3DXIz5ST/K65/s8b1+Xe56OiYYT3PQ8QXsw4NJCkxv3aNZM9al7IcNEMdeJUVrwvD0ejdaIhw/WePn1k7z42i4PH1RgJnn+lQE/+h2LfPHRiC880GT/qRrb1io2zNSZbjWYbEE9BN8zKAnawP7jgjQVxIkgSmAUY//GUcpgpBmONP2hpj/S9AbQGcFcT3KpCyM95DXXLfLml7T5/tdqkmSCC/NNOr0a3UFAb+DTGyi6A0V/KOhn4B4MNYNRyijSDEaaSwvnOPfnt8z0hsl//s43vcLrdPsfmGg9dyB/zgAejRYQpD86d+bOd1868cV10vRoNkLkyK5qAkBIBAIhFEIIpCQDNyhl8JTBV5q6L5jv1/nol7fwpUc6vOzqZd71mmWu3tljdqrBwnKD7iCkP/AzYCt7RIJRLIkTQZLYpd5ky4WSBs+DWgCNumamFbN5XZ+EHofPxnzszhrHTjeZCuvccKXHjdd0uP9Qm9u/NsGLLq+xbWOfj3xZoETIRCtmuTdCG1AC1k706XQDdFLnzS+7xEc/32D3xRpvelGfKF7gzidmidMaL7xyHW+6ocPlW9t86eE+j59u8NjxgC0zkpkJQSMUBL69CaUAIQzagNaGOMlu1tgwiu2NPIxgEEF3KFgaCRa7ILwh1+1d5l3ftszLrkyZnaiz1GnQ7tbp9kN6Q5/eoFwJ+iPJYAj97MYZDlMGkWY4MowiSIzi3MU2H/roF9b1R7z7u7/jpeb8xcU/3Lh+5v8OgJvF/8B853JGC5/44Wg4fE/n0tNrFF3qtRBEkvG2hxAW5UJIhBAIIVHSQ8oUpUS2PGt8ZQg9Q90TLA0VC+1pPn5Hk/ue7HHTtcu867XLXLe7zWxaJ0lC+sMavYHPYOQRxYo4kSSpJNUCbYTNggpDGGgatYQwiAj8EWcXRtz8oOTImYDjZ6ZROmT3xoArdiqev6+DCud44miLzVMNrtoFG9YusdiZ4OrNkkQbbn0gZNSXTDUTXv/CIZ+9M+bUhRZ7L/M5vzzkqWM+W9dPc+3OOe55vMu9TwlGUcC+nTPs2xqyb0uXo+cXOXIWHjjQ4PCxJg1PEHqSZmio+SClJQZj7M2apFY6RKmgNxJ0hoJODJFO0GbICy7v8K5v6/Cyq1M2zoQMh5MstGt0eyG9YUB/4NEbKvpDxWAkGAwlg5HtGx2OUuvxjyy4B5FmGFlHJ0oVl853eN//+sq6Bw9fek+j1Uz+3e/d8uGnDxznY7/5U393Af5z7/4fMP2niPZ3fL+MTvxO0j0/5YuQRr2GkLKQIEKQsTaWraVAKYGnVPas8VSK7wkCTxP4htA3NIKUqZqgO/JZ6kzzibsm+PJjQ9ZP93nnK9vs2zpkOOhx1U7D1g2KUeyTpmWaX2CQUuN7KScvGo5fECwPNJ+5p8HZ+WlM5DNdU2ya9di+wWPXZrhqdwct5/mDzzZZXJzkRfs8rtrd5kuPCUTis25a0mwk9OMAaSQYifIC2kPBxUXBlabBK5/f5asP19m0JuBFV83wD75jng99vssDB5v0hj4Lyy12bqqzd2OfF+7p8l0v73JucZHP3BOy0A85ed7n7NkAXwmktKueNoZUQ6wNaaKZno255so+o1HMvq0j3v7KEesmFTOtkDiucX6uRn8Q0B/ZVW5QAFtacI8EwxF2JRilDCPNKEqtBIpNBnIYxIJ+JBimHufOdnjiL+9dc9XONb9z4/Xr4o/95tY/Wzj168xu+4W/ewD/yV/9U1rX/YD4wZ+T79gy+eT7v+cVTzWu2hlabY3MQF0CXAqDlFYqSClRUuIpgaeyZ0/geymBJwh8Tc031GNDIzJM1lKm64J+JOlGTY6fafIbfzYDOkEkCc+/ps/ODRFJAtpojLFJHCkEUgk8P+DgqYD9R2o0ax6tQLKmIVg7K1k347FprWL7xpS925dJxQL//ZMTnDw1xYv2+OzbkTJIunztiZCpus/spGGqFdGoWymktaQ9VCz2DAvtlHavzkuvWubB/X0OnFJMTdR44ZVT/PibF/jdT8HDR5r0BoblrsfFxQk2rGmwbnrI9tkhP/eOPhONNo8fh4OnJb5vUMoghCaPzo2BJIEdG1JuujohjX3iJMSYBsPI58J8wGBkV7RhpAr5NogEw5FgGFnWHkU2KzsaaUaRZhjr7DNTMPcgFgxiQTcSLMWCbqJJ+33i3qmp73zxuvf/j4X5RNR/9OO9c3XT3PRP/+4A/J/9p4+xa/Na9fDdf/y2QycWPvynD8zVHj0wxW/8dId9W3tIaS+KEBopQqQ0KOmjlEFJhVIq09sS37OaM/AVI18yijRhlDKKDfVYM4o1UWSYSGAUa0YJRIlgGEtGaUic1jhwpMljByA1Bgttq419CYGyNR+tEK7aCBN1mGxKpluK2SmPdTOwbcOIjWuXic0i//2Tkxw9Nsn1uxS7tkh2b1niK08lXFyY5Pk7JdMTmlowIJQhRgmSVCKMIUkjlno1Li74XL+vzvP2dLnn4RrrpwWNWovr92h+9m0L/M6nNE+dbbHc0yx3FXNLHmummkxP1JmemGSiEbO2GbP9+ojQT/C9BKVSpLDBhMHeVHGsuDTnESeKOFFEsWIUZ8+RZBRLRpFkGElGkbABaiQYRYZRZM/rKEqJokzTx/bzYQTDWDCMoV+AW9KLEvSwz/N2LPHun17g264+1+i1vQ+n3Y/pWOz95MLJ309nt//ktz7A/+1//ShTzUAdP3nm7SdOXPijh/afq9Ga4Zb7fXxP8qs/vswVW7somSKVtuBWPkpp+ywNvjL4nsL3DH4kCXxhL4IvGAWKKLZAj2NDlKTWFUmcI4UkNaSpJtVYva0pwJ1LIU+C70PoCWqhoBFKmg3FZEMyPSlYN5OwfUOfVnOZT3414s4nZlien+CabYrtG30u3zokFcvc+kCDpu+xdlrRagx54ig8fczj6q2G/khx7eUx1+w2XDifMrcUMBg2eMMNXe5+fMDhs4pmXRIGE1y9S/OrP7zAHU8N+Owda1joGLavS1lqe0xNKCabPq2GT7NuqIWaMNCEXoqnrNSSWWulMdiElRYkWpKkgiQRxIkkSgRxLBnF1nmJYkEUG6IIRnFKFGsihzhGsXtYcA8ycHdiSTuG/ihGxj2u37HEr/zEIm98oabXn6I/PFEz/sSfCL/+92O55i/OHvpQunnPj3xrA7wmtVxebn/v8RNnf+/AwVO1yYZHJ/GIheSv7lVEI8XbX9XhHa/pMT2R0pUaT6aZzrZ62Pc8/Ngj9BRD3zLNyJdEgSCKhb04sSJOIIqldRCS0vZLUk2aWnchNZlTkrkluTujpJU9gScIA0ktlDTrgomGYaqlWT8zYu10l8Qs8/G7JR/6/CzrajWu2SbYttFnxybN9o1LfPJrhsXFGvs2KKYnoNWIuXhCcmkpJNgJo1iwdlIyNQWHjxuWOpoL8zUu31Hj1c/vcvNdNWZbEAYBSk5x9W7BT7zpEr68xF/dM83TZ2us78Ssm0qYbCpadUWjLqmHHmEAoQ+eZx0mKUAKB+TYGzvVkKaCJCUDOsSpIUogjlNLCrEmyp9jndmOuSuTWZCJlSS9WNBJJN1YEw0jJsMO3/OGBd7xyh6vvR46vRaDUUgUBQy7J2qyVnu/F4aeEP7/wvLMtybA3/ehT5Fq/cP33Hfsvx45cnpiuq4YJAYlBB3hMxItbn3A42tP1Ti/tMA/+q4+0xMJo7BGp1/DUwG+5+N7PkGUEvkeQWSlSRTbVLplHGGZKGOlJIE4hTS1ToLWNuDS2uQ9nBm4LcBt4CrwPQuQWgiNmqZVT5hqJaydGrBmepmvHoj4k9vrHDw+xY5Jn90bYMuGgC3rYe+2Dv2kw/37J6grn7XTiqkWTLVGTE8mBIGHEPbmGowCFjsxy31Du5dwaSlg24YWL953idsf6HPw7ASNMMZXAUJMsnuz4gdfO88L9l7iT25vcf+TUyz0PNZNJEw1Eho1Sb2mCH1B6Et838YqSpHZhxblBtvDqjUF0JNUZ6tbZi0mmiS14E5iiBJTHllCZ5hYUunHgk4i6CYwHCboZMBsvcPPfPci/9/39WiEAe1unVEUMooCRrFPFPuMuqcm/Lr33yfWXBscefJTH7rs6rd+6wF8camNkurH3vfBT7z71Kkzs41QEKeWVZQALwP5QEqWRx7/9c999h9d4s0v7/HK67qsXxPR7dQZjEICPyEMfEaRRxhYey8HeBxLosQuu3GSedopmfVHxtwSbSjBbZOUGXODp2zCJPANtUBTryW0agnTEyM2rulwsd3nvZ/xufXBGRaXmly2VrBtnWDzuoAt6wQ7Nw3xgmU+eqfHsdNN9qyXTLckk80UKUecnTOEnkQKMEYQxR7b13V4gJROX7HUMVxcrLNnS43vemWbv/hSwImLIb4XI4SPNk3iRPL8nUts/74Otz7c5yO3zvDQiSabpwVrminNWkotEIS+IPBtrOIpbOAsRVGTYbA3mTZYpyW1gM9BnqRW0lmwQ5TaWpcoTx4lgkEC3UTSTWAQadL+iC1rurzi+iXe8vI+b7xB44kGS8s1RnFIFFlgR7FHlFjt3+2fn/Uau9+z93lvU8Nh+wO12v+ZiVv/RwC+uNQmCPx/8Llb73z3o48/tS7wDFIKVJIBXBqUFPhS0JOSrqzRjjw++pUadzze5fp9Hb7vtX3e9KI2s1Mhg2HIYBQQ+j5RYk9UHigliSJOJUkiiVNBkkjSVJBqUWptLShUicndGpssUlmyKPA1YZBSDxNa9RFrpnoM4gFfesLwsa9Mcv+TU0wHPldvNmyckayfDdi0VrJlfcSuzUs8fmLAZ+5ey6TyWDspmGgKJhox7X7K579WoxVYd0gbGIw83nzTiM/dZ2ti2j3NpSWPLetavPUlPe4/0GX/4YBmmKCksCDXDYaR1fo/+Oo2ezZe4qN3dLj36SlOLdXZMCGYrBkagabmaQIfPCVQkixBZv/uvPxIZ1JN63KFSzKgW4KAOBXEaQbsVDBMBP1E0EuxMU8U0az3eevrFvne13Z4/p6U9dM+g2GTTi8gigNGUXnNotgGu5agBGdO7V/nh/e+e9e+l+t+r/PBRvOb3zjxTQX40tIy7W4PIfihL37prv/y+Vu+ONteXiYMFKpgb5talgI8AYGEUEJX+vR9xZlOyLn7Gtz3RI+/uKbL21894PU3DZmZCohGIaPEskGceMQZ0JNUkaRZwiYtAa5Nxty6rCkTmQ2ppK3j8DxN4KeEQUw9jGjVB6QM+OLDkj/78hRPHp9ExCE7pg0bpwxrphRrZwI2rJFsWhuzbUOH03Nd3vfZJsmozpYtgqmWx0QTJhoxwo/oDJpMtQxCCIyBOJHMhIpEJ3TjgG4/ZamjODtX58pdLX7y7y3znv8VcnKuiafi7MbwSJIaw0iyYTbk+Zd1uGZXj6dOnuVjX6lz+0NTnGvXaYaKVgBN3xB4Bl+BJ+05F6JaXacBo+1Nl2pBaiBJhfXPU0GU2iTRIBUMUhgkhiRJ0PGI2dqAN7xmmXe+psvLro6ZrPtEcZOldsgoDogTL2Ntlb1WRIkqV9xEMup3ePLRO9bFqfovu/fckMxfOvfHtUaTZvObx+bfVIAPBgOmJppv+dr9D/7urbd9aaLX61CveSSpKZbJ3N+Wwp54L7XFTIHS1FNBXwX0E49Loxp/dV+TO5/s88Iv9PjH393lim0d1k0pJhoeURwQJT5JUoI8zQGuJdpIjLGSwBQBZZbqV8YGsV5CGCT4KqIziJnrxPz2J2scvzTNw/unMDpgti5Yt8awZlIwO6GYnfJZPyvZMJuweW2f2aklbn1E89DTU1yzRTDdkrQakomGplmPEP6IMPTwlP39xkCaSgYjj8EwJtGC7kDT7RkWOz4XFia4cW+PF1+5zEe/UKO+qPBkbAFpPJI0IIptj+eaqRov2N3jBZf1eOAV5zg5J/mT26e4tNzgzEJIoCRNXxDkMkxakimIPJcqWCZPjCDREGvBKIVhApE2kCaQxEg1YtP0gGu22+txwxUpE3WPJGnS7lpgJxmw7QrrZbKxBHecyuxZEKeS3qDLww98ZTY13u9evve6pdFw8JlvJia/aQA/fPgwGzduUB/5s49etv/AoYlet00t9EhTg8olgTDEqZUqShq8FLxU4CtDkBhqqaChBAMl6Hshg9RnIapz+0OTfPXpAc1wxN9/Y5stswk7Ng248aounrAtYkJYuWKzkrZW2hiHuTEIaVDCeuaGBGTCU8clDx7wuPn+Fk+dahElDVqeYm3dMNM0TDeM9cEnPGYmPWanBBtmEjatHbBx7RJ3PjniD25ex8Ypj7UTMNFUTDQFrUZCPRzx1UOKYeThNy2ojBFEiaTmKa7bM+C+J6Zs4dMgZbnjM78ccnF+mp9800XOzC9w36Nr8SUgYjQUABpFkt7AY7pVY2qiyYv39HnFNX2+71VzHDit+dz9Ne4/UOfQsSaJ8BiNFP1YoYrSBzfwzHICRpNog9EaX6RMBhE1Yl58fY+dG4dsWRPzrtePqAeSZt0nihq0u0G2knoZ4ajCa7eHXHkUNqUgST06Sx0eeuCeiQsXLlz2hje9XZ04fjTdsXP33x6AHziwn9k1s8FDDz34I0an/7W9vESt5tt6iDxDKS2LS2kZWyVYiZAavAR8KfC1IUwNNSVopIKRhmHqM0h9+mmNbjflv3x0GpPErF875MptQ2YnE97+6gHb1kXEscj0tgSHuSm+g0ZIwSfuqPP40SbC8zh5rsHZiw1qdcVkKJhqGiZqmokatOqCyYZioqWYbnnMTsGaqYT1s0M2r+uQmmU+cfcEg16Ty7cYJhqKVkPSqmtatQTfj7j1vhqjvsRfZ7tFc4nSrCve8MIBdz2i6Y0kvUFKp++x3PW4sNDgip0t3v6yDg8/1eDkYgslNRBnetknThWj2CZmekOPdi+gVW/QrI+4YsuQF+0dcvpSmxPnl/H8lMeOefzFVxoIZQvXGJ8/aDSgwRjiKGX7+oR3vnrAmomUvdsN62chTXxGUYsk8Vnq+CSxIk69LA6ygM4BbmMimdX6uAaAYwQkwnryqcfc3CKz65L/+tijD/e3bNn+oYMH9kd7913xtwPgZ8+eYWF+bs+Zs2ff+8gjD0nPE0ghrTQRlq0TaTJwQ5Kl4BMt8BKrE+PU4KdWA4aeoZYaklQQaUOUCkZaMkolkfaJNcz1JvjK4xpDyqfvtyMbMDo78ixeZpGJvCJRIpUiiT2k9vA9SSuEnWsNTV/TCDWNEBqhoFmXtOpWDk22JNMTMDuZsHZ6xKa1XVKW+O2/rHHPE+vYPQvTjYy9G5JWPaFRj2g2BtTrDUIlUTLT4Fg5EMc+w4FgMErpjpTtWhpo2zLXDDhzcZKXXjniZ99xkd/8C49TyyFCaIyJ0akhTnyiWDIc2TLW1sCjWQto1Gs0wga1MKZVj3j+5RGBH3PD5Qnvek0fTyVZEkjbentXlGeSTmuJEJLQV0DAcOSxsOTZup00j3myI5FlDJQVruXgzoGdJ5aSLGgt35MBHJLE8OADD8g0le/t9vp3j0ajJ78Z2PzfBvhtt3yGRs2rnzhx9G1HDh8WYaBsK5XUGWuX4FbKJmCkMqgUVGq1YZKCl9rexySP6NMsqs8jey3K91oQaUliJKn2iHVImtle7qPIUma2pCfBV1CrG2qeoaZSQh9CD2qBoR4K6oGkUZc0ap4FeFMw1dLMTCTMTo1YN9Nj07oF/uBmzUduX8/WKcWalmaiqWg1FM0GNOoprXrM+QXN0fMhtcDe0JBX+gmGkcfODZoNa4Z0hgGDoclYXLLc9WjVa7QaU7zrNZc4dv4C7//MZjzpYdCkOiXRhjjxGEWKQWSLovo1SWPoUQ996mFKu2tjjMBPbcLMT/GkbZSQMs3qfozTWGIrgyzIBW2dVVlqG9ekqURrSaLLeMcCNA/w89fOcyKyz3Nw2yRTnArSNM9XUPybRx59XOzu9N+2ffv2o5/8y08O3vZdb3tuAV4LvWBpce4Xlpcu/oLWIxkG0gJVygLgUhpSaUh1VsudCtJMniQavPyPzJMP2mTvTfFZ+bqslLNerigCJVdzA1kmz2QBrcaTZDUt4CuB7xnrG3uCWiipBZJ6qKjXFK26pNUwTDZTploJMxMj1kz32bZ+gfsPjfjoHZuYroWsb2kmGsKCuy5p1jTNWkKrMeL+g/DYgQaXrTWZ7i3T5oOR4oa9hsu3DXjgySn6I9ue1xt4Gch9GrU69doU3/PyRR47dIn79m8Ao9A6tfIvMSSxKepJBiOPxtBQrylqgSYMfMIgJfQ0npfiezY7rJTOitjsCoswCEo9VwbntoRY546Uzu1Xx4rNga0tQMv3JWjzwxJY9uwc7rUe9vry7Lnz/zas1YNms/lrQPScAXw47MvRaPgrt9780X++vHg+CHzPglCCTAWpEKQVgFtgqyypkCqDp7PX2jbQ6pTidZpn3EyeeTPoLBOXJyuMMTiZ98qKm6eq84SOklnGUuEUbdnsXxgoaqGiHgoadUGrbphopEw2E6ZaI2YnB2xau8R9Bwf8yh+t59SZKXat0Uw1YKKuaNYVzRo0ayn1WkzgD2kPbbGYr2z8kT9SnWvRgIl6TD/R9LM66/4wpduXtOuKRjekFrbYsSHmV3+kzb/7sORr+9djUGijSVNNkiZEiSaKFcNIMQgl9ZGiFkjCwBAGitDT+L71+z1lsjqfbFXNZIoQptqgm6X2TUYiJqtlSTPAp7p8tgCV2bMoAZ69Th0pkiff7A2QkVZWTqFTQ6oNJ0+dCcKw8a9+5O+/y+/3+/+m0Wj8jdP5f2OAD/oddBr/2tOP3/NPF+dP1WqhtKBMBUmWXEilvWOVFCQqB7JBSwvuNAO3zl9rgdamSCPrwqMFo42VPlkJqHswBvC89Fbk4BZ5TbmVRF7WiuZ7kjCwA4BqoR3JUA8NzZqm1UiZaMRMtiJmJgZsWrvMfQf6/LsPreHgqRm2z1iHpVWXNBvSsnfd0KilNGoxcRrxp19oIZXCl9ZJKhjc5Eu4zw++bonbHoroRiH9DOC9gaLbU7RDj1oQEvoT7N2a8B9/dIFf/pDg3ifXo40k1TatHie20GwUaUY1W+4ahoKaLwgDm9kMPFNkbD2lrUyUpW1bALxMeQIZiWBzCdZtyQL5HMDZ1AFdJNfI2J1ixc1X5xLgxnk21edUo7Xk4JETtdu/eOc/e9MbXiPa7c4vTk7+zZJAf2OAXzp/DGPMi08efbguGRH4yt6JEmRKxt6gMkZXWpBKQVqkh3Nw58uT/UwXtRJl+5UFurB1FDmo8xM/9r3K3s2szkRSFlNldeQW4BLfl7Z+IxDUQjvzpBGmNOsW3BPNiKmJAWun2tx/oM+vfHCGp06uYcu0YLbpSJOaR7Nm61fqtYR6GOH7I84uTOMrgZI6s+XKIDNNJUmi2DhtSJKYTlzLOmU0g2FKdyip9xW1wCfwa/jeJPu2JPzHfzDHv/5DuO/pdaRaWoCnhjhJMybXjEJNLZIMA1VIMN8H38ucKyVtLkBm7pYAkT2vgnErV8iSQogiOaSz5FCeLU5T53NdSs7UAbbW5fUucDAOcm2IRyPu/uqD9Z07d7xY/m/sOPE3Avj+x25ByVHj0QduD9J4mdAXhSUoM0CnqgweUpldVJW/t0ydehR/ZBXYuQwxBdBNLkfy18/w3aQoi6ikxJYIZOBWUmaNErk8gZoPYaCp1wz10OrnRj1mohEx1RywZrrNQ4eH/PIHpnni5Fo2TSnWNjWTdUGrJmnUFI26oF6zN4dN9Ufct1/QGwbUFNlNZjV43oSQakGceDRrihuv6nL/UxP0YytTBqOU/kDRDRVhoAj8INPPU1yxVfPrP36Jn/99uHf/OmItibXOmqXLHsxRIAkDbdnbL+voPZUfZDKllHF5s8lqIM+TQiYHeAb4tHBeWHXl1Zm+1g6JpanJfr4a0Es9fnFumY989DPBd77lTY0/+/PP9b//nd/+fx7gC3MnmJzZMvXUQ598H2bwciUThK+QWbaycsdKq7m1s2xZxi7vcq3E6qztAFoXwC6bgsm0d3ExhM2UCpmBOysyUgXAQWUVg74HgY/tBAqyAqswpZ7Ji1Z9xGRrwHSrw6NHRvzyB6Z57MQ6Nkx5rG1oJuvQrAmadUWjrmgU7J1SCxNajSF3Phaw3K4xPV2myXPA6Eybxqli3aziNc/rceeD2nbRRNoBuaTmS2q+h+8FeF4dKTVXbDW8+8cv8fO/b7j34Dpi7RFnFYC27NUyeRjLorow8CSelxVhSYHy8nND8f3ymzCXKiKvSqNMCI0f2nnW2nkuVt4quN3KztR5X8ZfpUSNk5SlzuDlhw4f/8Of/NG3/9QNR04s771sx/9ZgPc75xj1536+vXj8e+PRPEHgo7W2YM6/oBxborTIdHZ+l5d3fC4/0kKGULB3JZAcZ+4M6XlGrtDeMq+gK3V3XjHoKWx9hmfwfdtYXAs0tSClXkto1GKatRGtxpCZyTYPHxrxC7+/hkePrWfdlM+6Rspkw2Tgzti7JqmHlv1rYUIjjEj0iG4UIpTEzxm80OAiY6/ML459msHQlgtENaZzkA9T+oFl8DCQtibeyzegNVy9w/Cen7rIv/w9zb0H1hNrj1EqiFKdsbigFmtC3xD4tnfVy+IOT9kSYSVldn6yrvz82SnMKm5MN9YZA3dBQg4xueAu4ipTvnY/y2v1C1ZPSxI8c26Bpw4c/94773nkaBTF//r/KIO3l0/Tmtyy/Ymv/f418eAsYSDQJiXVIuubLAMNpU0ZhGiTdZTkRT3GAbgoTlSq3RMmHKYos5LGXTNz1naDyny5zTp0VBZMeV7WGZQVIeXVgzU/zXRzTL02Ynqiz2Szy337E37xD9bwyLH1rJ30WFtPmawZWhm46zVrJ+bgrocptSBhohmx/4ThjoebBFLiK50FcaVHkS/fcapItMcrnx9z2a4eR0/VWdug7HMcpfSHGQt7Cs/zs0pM611ftR1+/Sfm+de/r7n7qbUM47pNhiWGRlbDHfpYkHv56qWL3lap0mKFU1I4ABcOyFmhV0qQmyrAiwrFcuVdbWUu2Z0qgzsyJ83/OygOHzvPbV9+8Jr/+Es/sf3IsTMnL9u15ZsP8EH3DEE4uWPuzD2/peP5twjTJQw8klTYALJgbuuTFoFHYS8ZdJrLEbFiScv9YVN42mMuyQq3JGPucXALg1S5LZjVvKiMtT1D4Gl8XxP6mjBIqAUJtTCiURsxM9lnqdvnrifh1/9sA48fWcOaDNxTdUOrLmjWROGVW+dFW/YOLMDr4YgoTRkOatSUvcmkEJVKvjyRYgNNz2p5b8QoMgxi4QBcEwQpge/h+9JOFZB+AXAEXLtT8Os/tcR/+V8J9x6Y5Vx7gmFTMpUaWomhlk0cCH2Tef+5k2IK9s6lSg7w4vtmX9rFeaEQs4uSr6oluKuS0lZzOmCvAD23fsvVPHVAnxPi4nKfsxeW3vKZW+5NX3HT8/7ZkWPnTly2a9M3F+D99glGfv1F3cUn3zbs7CcIamitkXKlL6oLy8/5zGR6O5MiFtQiW9ryhE1VirgAz0+xqwrzi2DHPeTsXXbjl8OBbFms7+lszERagDsMMnDP9JhbGvDuP23wma+tZb43zdpJydpaBu6a1d2NLLCsh5JGaDIGt9q7FkZAxJcfDViKA2ZDKvXYiOoKlaa2+WEi9Hj19X3uOxjRjUMmi451TTCyteqBZwHuKduQLaRN0GBg31bJb/7jDp+7b8CvfXA9Z+anGUx5TAWCVqJpJBDGdvRyoOxAIz8PNKUoguD82Q3U3RtTiKJXpLg+MCYhXWA78ZN2wO/mMcZBnroBqs5sSeHxtYcPs2HD+re1Ws0/7fYGJ76pDB7HPTyvcfn8ua/8k97iowS+lSY5kFMjUGmW0s0zXzmDZxmwHNCF1i5AnUsQU9pQ46ztypLsROfMkqebcxdA5QBXxpbjenlvp+3vDPyUwE+oBTFhENOqD/C8Pnc+lvKHn5/g5nvWEekJ1k0I1tSsLLEWYO6Tq+wQGXO77B3jeSO++vQU/chjYyP/PuMMnq9utpS05itefMWARFuAD2Jhu9bzzvWRtsGhl82Gyey9fLidQbBmSvC9r+rRCs/xwc8PuOvpWS7Edfo1yURiaHrGgtzL4hBlsrjEZCDPz6Eoa8clSEoWH99RsJAq+YgKxrW52z1U1p7njJ6uEpymDgGmpgQ80uPL9z7FDdfv+SfvePNLH2l3+4cnv4GRcF8X4IPuMZbP/RVeMLVp1DnwCmnmCIIwSxdrpJYoLdDSJnqUKZlba1eSlOxdkSO51iZLJlSA7VgPrn1VDAdy5hVmyRQp89FuOqv5zsCtbC1G6McEQUzNj2g0hgRBnz+73eM3/ngdR+dm8MMaG1qCmTBlIjQ0Q2hmHfb10GY7a1lCyNavpNlKYOXJfCelFwUEShHIsrkD50/Jb+y8diNKfOr+kA1TA5b7LQaxyMat2VjB99PM5lOZ3amyURtu4GorH9/ysh43XDnHr//JkI/cupbFpEk/9Gn6kgnP1uCEHgSKohnCy5M+xRwaUWSB8wSQSypVseICncoKrE1VapbafOxYYTa42WvrtafG4/SFDl+898ArOoN006WF9uEnD5zi6n3b/jcZ3KRMrn/tjsHyY38QdR4l8E3G3hqlJanRWTGOxtOyks41pipRjC7rG/LgsTgJCEeSiDFpkoPblGySZd+kC3BpUFmRV8ncaQbyhMCzkiQMRoT+gBMXE97/uSafunuWYxenmWj4zNRgOkxphSZLvefglhm4ZZEUqmXaOwzsjTPRHPHJr3ocPlmnlk3gKtrFKFFejHEwVofHice+7fAdN3T5w1tm6TU8JrLZI2GUxQ1K43kyG1uHA3LfuVZ2Vdi2RvKLP9Dnmp1n+P2bZzh2YZLFpE7f92gqQSMDeiCNvXEyl6lY/fLzmtuHWH1eZjrNSp88J6a8dKLwzVdaisYFsamaDIU8ycCeZjmDxECC4ov3HuQVL7riD37wO1/yxksL3a8rVZ4V4DqNENJnuHTnlrT/4G7FJaRfI9WJ/WKptIxdyBBZFue4ryvFOxTgNy57G1EZlWyyC0bO2DnIRQls+1wWdCmpM9ckZ+8U30ts546XEIYjAm9EN41478cDPvi5DZxdmEKrOjOTipnAMBloGhlzN4r0vczqVDJpknnnBbgDm70cxRGHz4T0opDpMHNx8qRT7krkWdj8wqWSOPaYaHrs3BKhwiHdqMUgENRjwygHuJdmiRplfWyZlwCvFrwq1k72+cm39HnbKy/wwc91eP8nZpkfNBl4NWqeouEJ6soQJsayedYn68myvCHPcq5gclaRK+MOC1RjqVyGOETmsngRp5ncRcmZ29atxEaQoDh2scvN9xzc7dVqW975huefGI5iaqHPMz2eHeDRGYQ3uVYq7+O6d5cfBKB1jNQSoyWplEX9cN4DaXI54rJ4XqxjxoCdAb5kbPEMGUrj2IGmAHZFnsisSk6lFuBeiqdSAj+mFkQEfkR7GPHVxyV/dvsEn7h7lmHaIggCZgPBVKBpBoZGaGgEJbhroSQMJWEmTWxiKHMmMoAHvs18Hj9vuOuhBlHsEzbNigCzOK+FBrfnLooVvu/xmhu6fPSLPQ6eaTKo2dEMI98QJODHGj/SKGXtWCsjZDnch/J8plqSaEkj9Fg/NeBffk+fK7aN+MjtLR7cP8ncoMlQBfi+R80T1CWE+YCl3F6VxuYTBA7IqzUr48VZLqPnBDXuiOXvS+0tHDanqDdKHOaOMoDHBlKp+PgXHvXf8cbnf/zcpeXnzS315v7GDK7CSan7j78oXf70pJJ9hPQzaWLB7GlVBJIqG2CpM8BXwD0mS4ojB3YmUVwGrxT+ZBPDESZL5NhRb3m5p9XdBk+lFuAqLeSI58W0ezH3PCn4o1smuP3hSRbbLWS9RquumPINE4Gm4RsagaEekLG2Ze56KKkFilogqAVkFXo6A7cm9K3+Vt6IQ2fgbLtmEyuZvq0mTsr6GdsHaUGeaEkUeayfEFy+dcATpxL6sc8om/EdRFjwqXyybp6ogfE6jfzmyW3IOLX14e98zYDXv3CJLz3S5cO3TvDg/gkWug3aMqAXeARKEEhBKG0juCftLnVKlDepElnZ7yoMvqJ+ZZzJHULTOIGnEaSU3nfO3LEL6syNyRtaon7M7/zxrZM/+wOvetGrX7jnFp5leNCza3B9PBRe9HtKP9UM/BGp0bbfUUt0VpestcAzbqOvBbgL7sprnetQB+DOCanwQkWamEqBvpUlOtPcGiVTOxA/dzNkzFw34c6HPD5/T4vP3DXJpU4TUavht3wmPJj0bSdP3SeTHVAPRHbIrOQ0092BIMzZOwe4lxAECbUgwpiYLz8ccvJ8nTUzAl/qTMeKstHXYTvjWKhpqhiMfLavF7zm+j6f+lpEL/YZxIKab/tVg2yyVLlKqcKvtnPUKc+rEcV1SrMjSTzq4Yh3vmrAt92wwKfv7vK5exrc+XiLS+0GAxEwCDw8X+EJO9LDlxJfmExqGRTCkYZV+3AVMq+4YCVziyIATccY2x7le13cGVm3lk7BJGid8MSTB5vD4ct+7+ED564ABn9tgC+1DUu9/vcnnfdPralfxPd80jgl0ZI09bLG3hLsOavne1bmsiR/n39WuQhgeydXqQmsBJQOsO2ATitJRAZwz0sJvJhaLWY4Sjl4Fk6cU3zsC5Pc8uAEl5aa4NfwJnwaStLyDS1PU/cNdR9qvgV3zbczCW2ZqXQOkf3cZCDXBcgD37anHT2neeJ4CL6fLfPGSdGLCgrcIMzWSwuS1I5zvnrniCu39DhwtsGgJmgkgjA2jBSZtacz9s7dlNyCLLVK4bMXSTeVTR/wGUY+9fqIH37DiDffuMxtD/X48y82OHGuxoGzDaLlkCT0GHoeUtmpvgrwsuecyQvpQhn8r3gUbkoJak0Jag2FzrY/s43PhWg3aZYFTICsM8JoiFPap3s88fRjnLvQfFaOfkaAzy8tiige/ez7PnxkavfGFi/eG3PDnpjAB6lidCyJIoXWyrJ5zhoFoF1gy1J3IzJQ4zyPwTuP1AvNZ5MaVpLobJeHlDC0k1STNOXCAnzhKx5Hz9S54/46Z5fqHD3XhDBENTxqnqLpGZqeti6Cbwfn13w7rs2COD9kdqgM4GSaOwO3nxL6lr3tjRVxfA72n2jgy6o9WEgUynrwwlHInRSd9TUmPlduH3D5uj5PHkvoJz6tWDDyIEjsTEDlAFxKgZCywuQwbr+JIpjN+yjj1GfkB0zUI37wdSNedk2Hs0sdvvxAwLHTIbc93ODcQo104KOlRxwohJR2pci68iVZxhMK2bIayCuBJm6WOndbco2qnSMDMhnA4xRijfBSpJfywqtHvHjPiFdfdceaV7/25//Jv/iRw+8R3uWrhm/PCPB3v++jJEnKJz57Ecxadm6OuXpnxCteMOSKnTGbZzSX7RihjCSNZWVJrAI9lyIZsB0Wz9m6+s2ME7GXrF1IEZXihylxajh2WvDEMcUX7m/w5PGAp4/X6YxCRlEIfoCa8AmVoKGg4Wnqjg8cenmdRl42a+vCw0yWBIEiCGR2A5hSe/upzSz6VufXghijIy4uSkYmxPMkgTR4js02RuAFyNMiQLf9jVHiI/BYOxMh1ZBe7NP3hHU64rJgzFO6koGUwoli82FHCIyWJZM7g5H8VBXjJ/qjgA3TEdvWxzx/14hBNODvH2/z5ImAL9xX44njNY6dqhEnCkKFkQqENRiKbFCRpFhFq1TEee4D58/aeR47tIZY45Gye2fM5pmEfTsjXvmCEVfvitmxMaGmBk05+KvvTYf+e/5aDP7uD9zKxfll9bmvPCAGsU+cSh47EvDEkTq33d9k0k/YtiXh6n0Rr7thxKuvi8DYtqh6k0xnS9CCJAN/HkhWGNy95Y0FNNn8Et8zIDRCGuLI0B9aRj9xRvK/bg/px4pHn65x5HTIfC9glAbgBaB81IQikIK6goYy1BR2nJnKCo+UZe3AFzbp4YLblwSZLAkDCAMy18SmzH1PE/hJlhGNqdciLi2lfOHeFu1uyPSkwCsarkuQr8ps2gkItWQ0UqyZVbz+xiG3PTjgVLvJwJdWpnjgJwY/zj3rzGOXqbULcWedyOJ3aONVSibSVBKkitRTJL4d+xDHvrVS/ZhmEPOyqxNefMWIt75iyKHTksf2+wwixUe+0OD4BR+EpD/wSCOVl29ivBzgY5aRm76tABwwGpEahDaYDNj1Zorva4TRvPr6Ea+7YchVe2O2b0mY9GHNhEEYSZr6Noju7RcmfLnqX/pY0lj3Pd84g6+bnXpvv2eujVUInv3lWqfM9XzmtOb4oubeJzUf/0LC2pkEow3X74l452uHWesRrJ3UXHd1RLOWrThGFDmwlddcFMN52n3BY497LHQk9Zrk/v0+n727xjBWDGPF+QsBWnjExkcLHzwPEXp4UhIoQU0aahmwQ2UIlbE14F7m+Xolcwd5X2YBbpX1aIqCvQNfEwR5gVZasHcQxCgV8ZVHFJ/6WgsVeNZuq+jvZ2bw3AtP09zxUAyHPm++acBnvtrhI1+epJfUaGY63M91eJwnZUzRLSSELABmf5V0tL4DcJ2NdvAsk/ueIvE8vCS1QFcpStlB+tO1hJv2Jty4N8aIEW9/VZ9hbMe5/dXdIQ/sD6iHgvmO4rEnAzp9makkwTOK8mLnCdsaeN11MWumUtv0kGre+doh110eYzSsnTbMTGs8W5SBTiXRUJGazKbWAtL42qA+/V5g1Wn6KwB+fr7DhtnWxM//9qf3jmIUMsgys9r2oqkM7EYz0pqLbc3FZTs05tCpBp/9iv25SQ2T05oXXRvRqts64FXTk+6tnrkOyz3Fg08EdNoK6Uk7E8V4lpmEh50L7IH0kFLiS2HBLA2h1ATSAiFQEKhyRp8FuSgbHjzbCJA3HrvgtgyfldX6OYOnzpEQejHGRJydD4hGNcJJSZClvVVWlVfJYgpK8nKs06I7XSui2Ge6pdi6JiIQQwZJyCAR1D07BDOvIckTWkq65a2y+F32d+Suli6zp1pnzSelNEqSNMsbqGwue0KcpKjY5hI8lSJlwpY1OlsxNFdsGxKZAdLTtNuCB5/wWO5LVKFYqkF15UpnxVjNmubF18ZMTmtMYlf2urLnzspchY59ImO/p0GWMZ2WFlM6VV7a39vc8CMTOl3sSDXz7AA/fW6ei3NL73nwiROvutAZIrwgk09jemk8MECTGEM7X4KUprNsOP+VpvMnrgZwV79lF0cIdL7lAlnNqVBlkCNlZmXloM7SzpJs49bcN3aevayTXpFtvUcBbtvWpQgycAceRYmpZfCMxT1NkGVHfT8mDGNOz2v+5LYmeAG+FGWAWcgTsYLBXX84T5BZsNnBOlHs867XD/j0nQOevtiil/o0Erspra0CNGUnjspzAm6wl5cu5lJIOgVe+aGLWhjPU/ipnZfiZ0BXskya2brx7LXQ2eCgFE8YhElZ09B8+0s1iDSTmYDI989Y5ZoXNUYCtCKNPfJ5LEksicltTvsMojAxKrazlphkAN1Dr/Inj7/HmOSnvy6D//5HvoiSMjhz6gJND4zMrZw8eFFZvYGzzuZgz2+E/GfKkPoOuFfFd85uOcCrwYvdfc0GUkqAL2xaORS2WtCX9r0nyWoqsu7xvJDIw5mDQrYzW9lVXwJcFrIlDEzR0hYE2hmck+Bn7B14MVJGnLwgmOvUEJ5HKKnIE+n+Wc7ldqVDBXiZ0xElPrMTI7ZvGHDgwohB6jFMIUwFfmrwk0yHJxTOUplCV5VOhTy2s5N28zpr4UgjjZdqUiVRXr59ucqK1ey2MkqWh5AalYFc5L8bOyVLSFO4XjnQcwdsNYCXyb0yLstNCSr5E5kFzaVhUdY6GaL2RRL9mWC1fM8KgD/y9GmEgEFvQNOzXyMlG3WQe5bZHVVYPuTqIwe+S1XPJkvIunKcwnohkJQpYjuVCnxh8EUG2kwC5K+LzzKyL0tBKRpsAyUs2CvglvY5yIGeB58ZuPPuH08XEsX3rD4NgpiEmM99tc7FuTr+pCJwazhcB4UxReqmrp3qyzzpMxzZCbZvekmPrz4+pJPU6Hse9UQTZel0JcuCqLzgzG7klf+mPNDMqzZz6zCbqWIgVfZ3elqQKIGXymwXO1vLk2RAL5NpukiwSamdxFv2WrrgzmzeYq+YZ7j+TqEdhQlBxX2r1i1VP9MahBkS9Y+sulpUAP4HH7mdiVbtpX/8ibtvuHQhpaZMtjyARhe1Arl5b4Ffpl6LX87X33ilECR5skCAyp+FwYPCalNZytjONyk1rsqBnQ/0zOSJC+xiDorC9iOuBvA84Mx1t5fLEpPp7WoteeDHBH7Ehbbm4SN18AI7AlqaIj1fMDhVFs+Zq/SB3VJRWXjicexz/WUjZqcGtJca9BNFQ4Gf2L9FpXaAkopdgGNBXvwiOVapKbK+yaw4TmlSLfC1IFWSVGlSJUgykLvFa3k5hMxB7oA6L5kQ6AzkZCXNeSa6TNpVijEq9SsumzvfmWcHuDFACsJv3jC14XUvvXTyjfes2/7m1QEexzG9nvl2j/Q6k0bUfA9jdLUKLN8CA1Nhb10ENva/pVe5n0Rmn7hmUn6X51mxEhzldifjJZxeXhuR1YDnpZ62uTjvVLGyRBXdKyWw8+Zby96Z5vYo9HZuCVrGLsHtF9WJMYKYm+8O+eqTLWToEUhh528XFYTufBa3jrq8qEXtjlOBmWpFqhWDoc+NVw34jpd1ef/NLaI0pJdKaqlhlJCtXG7Vn87knB67oZ6JyUF7MuuFFAW4UyVRSltGlzIbLaGdUmS3BsiUIK9km3MmzxdpR6aKlWTujtwra1hymTJe1lEt1jMI0iQBX14Xx8Nv1zq5Z1UG33/kLNNTrdd/+GNf+IGz5+eoB9byKQvYq4DOWZyMvXM4u4rEULlfsz/WYfAM3DkApAMKSVnz4I42yJnbbkGSvydjcIo2rAqLZ90wvqqC245TGGPurGczyNrbfC9vOEicIyYi5s+/PEFqQlSRvXQDzLKvMXc2KhqcsXY9Le10qDQPNj0EPu98dZ8//dyIZR0zSGsMUoGfULC4lAaZiKLozNqF4+unLK+jEQ7IBamXjW5QGcg9g9JWrtgxe7aC0WaPq/MmVTah1q0TymtViqaUAuilVFkJ8OraXgF5/nOnvKPynOvx3hxp3P6B9dvfeMewd+q2WnNbFeBJFBENh5f1ur3d3U6XWi2oLKPuL82LZ/Lidnep+TqK2/7ROZM78qQA+lh5ZqHFxzRnDnp3todSotTiWcVdZdhNBmxPidJJKexA23FvG5NNxtxlgOk57B36EQ8fkRw+V8MoHyUlgdR443UajgAfd1Hyo+h00sLxqy3I48Rn96aYK3f1+NqhOrEKGCSCmgQ/NXiJyORb1oWTZDocaeVC5VcKh8WFI42czpmsedxTupghqTLpV4I7rwUyWZlAzuQUq4dwwI3IJ2atzt6rPUzevEoJZHcVwpVcgDGKOO4Rjfq7kyS6LE2S21Yw+Nz8EoPhkGg0IPStzqs0ABd3Wjl8Z3zClHnWr1/mLt1ySzEOdAfcqqj5Lm23UrII2z0vSnDbIFMU3eJeAW5ZAbg7/Md221MAu8hWFsydEng2sWO7gmIMMX/x5QYLC3VE6Fnf3b0Jx2tQSnKqWIR5861bx11401oRxx5rZiTveE2Xh49MMEpr9FVAPbVaPC9nVZIM3PlaoTNP3I2GZIWgcgeivMHcOTYSpfMVyRSvZbGteqbBZb7fUS5NZNkcMc7gY00rZbpvZaHduApwa5bc719iUJAkHoNBxKC3QJqUxYUFwP/nBz+NlJKFpWVqgS2kX8neYxKkEiTA1+Pv3P8v5cnYswtol8Ur48VKxpYugyvhsHguVyTKqwI88LIBQH6+dWCW4fQMfpGK19nrtHJ4ynbuPH0SPn57i5EMUFJl2cvqjTiewVyxLDvnsKrDMy2eKpLUI0w93vG6IX90S5/Hj9WJlU9fSoJUZ+6RQKbGOU/GtpcJdz3V2e+q7lvkMnmqbcJa5yye5mMltJVCRd9mPpdFFDd0MqbH7fV0i+VwmDwH+ddb66sgLtl8/Gf55z5LcwcZ9M7btL8L8GMnzrJz+6bGv/x37905Nz+Pp6ymc9MzK3olV7D3KmB234vx1yu19zNLFFEAZ3wcsnQYOw8y86lNnpdv8pppbzUG7jx97+eNydrODClaxPKeziQ7YpQfcfisRzcKQHmZPDFj5bHjN271hFQHGo154Vk3Tpn48Wj6gr2bhzx+OCLVIQMdUEttzbaXaXAl7EauNrGUs6UmDzJLJi8TJnmHu1cMNrWf5QNTPU3WQWSQupwQkE/XSvPu/sIAKIPLIvAcu945WlY0TFRcpiqwqi6LA3DnZ1oLiDXNqbU7r73pHzW67X/Yb01utgA/efo8C4vLr9u2ec3PP/jQEwSeXMEy9r1ZyeDOKvNMAWXxmaj+TGDzOS4QSmCXfYzKYUVVGaqZg5yyRlo5oC5eZ0keReaFW3BbAJdDgXxXnrjsrbK+ziBisav5H3/ZYmFQQ4S+lSfSVFaVcnDOs2vOyjSBfE5MweDWUUkSj4mGx898V5cvPTzBwiggkh4DKQmyHspy5EPG4G49vdBFGa1BZ+DWRdq7dFZExuCmCNJzsCspMga3kigtXBQKmVLq8LKdsJQpeeBZWoWVczO2yq0O8DEsjrO7McRJxNpw3c/PXzhwTxwPPg0Zgz/86NPUwoCjx05hTILvB5Wir+KXriJPnvUxdoGrgx3HWJsyrW3n5I1LlOpgmgLYUiBVOX5MOaD2pMTLJIlXADzX3LoIKn1PF+D2vbz+osrevooJgoiPfdnnqaN1kD5SSsK8NNaxNos94rM/8hmrCSnZvNipwpEpiZbZJk8+V+/u85aXdfijW2poL2QgA0IpiqSPkoLYCejGmVy4TD7uQuRAV6CMXRW0ERbc+ZSwbJhqOVainEVTTqa1fZxCVuVJ4axUMFC+/0YeK/EnKp8bJHEcsTB3Bm180sRuDOEBBIFPEAT4nkIJq2HLANKsALowWbb1mUCe/xGOW2I/zgvzzYqBMhXPuAgsRcnmBUN+PYDLEuDKqaH2sroUn0KK+Kp0S3xnOFCpuS17+56dWrXU1vzVV1rMt0OoZe6JcIKxZ5AoCFFlcjdIH7ftip5WWz1n3RSP6QnF33tVn898dchCLyRSHoNUZvakyNwbUTZjy/HEis7qOuxHumDzsjfSy50Vlb3Oxl7rbBx2ft5dkIts57xCSmbyxK7Orh4XY3JFVAEuDMI8M9ot3nLgldKkND4sMQhpZzjmksx7av9h1q6Z2fHlO+//2XPnLxAGnq0IoyruXeZ5tofIvkxOYIaxi+0AvXqI1SVKnjipALs6+9vtcLHD3amCO9/ZIGdu5TD3CgbPx02UIyc8ZTOXx08IDp2soQkR0iuac8vqQTd+EI6rUf7xVUeqdAGMcVP2paOitQ02MR77tkfs3jhk4UAdkwaWxVMrUzzHxSnZ0y30ygR3XkYL9n1RxJStJLKcG+nGNkrbm0ZnO3cUCS1ZklEBbi2yWSq5JhdjUkWM4cEUb1aTKeVnogC4ey4p8jE+iwsXmVl35c9uv/ylj144d+SEl6Ypg+FwA+jXLy8tEgaBQ/subY+Be1xwj3+hMb09/lzMCqEK8qo8EY4zIZxgswS0ZXCyUcCuD+4e2ZbWygW3A/Jsv3o/Kw3N2Vtl7z0vRqmYz32txeH5OgSlPPEd67Jyw7JyXMQKVirY0w04nTEcjhaPIo9dayLedGOfB55ugPZJUqvF/TTL7qZVqVQypxssZSA3xpEojlyR2WuZrSoyP0S2LY0pxi2nym54YK+LKYipTPi4rzOWdtrbirYXF9xfx3Vy37j4tOCXLC0tkyTm9UkcbdCpPuHl85uNzjxNtRLc34jcHr/dXOZ6RnswPwlUtXYpU0RRBjoO7ILNlXCacB1wZ/MJy207WAlsrxwQVIx483QG8sTKExVTb0R87aDi019pMhgG0PDwpMAXVWky/v3dv3lVgBcgd2SKGUv4ZCCPE4/JlsdbXznklq/2uf9ggGn6DNKQQFDcaKr4/aUOdtbSAuRuzsIGn9kNpiybp9Lqce2wdh7U63zrEy0c/S2cQLcaQ5W6u4wL7GeiALoL7mfgzRU4rOryMglkbyqNEBovSWLiKEan5azonF2e6ReIsc9W+zIVtl4B8HGJUp1oWgaXogBNMS9PObs3KJHVppTgLkGel80aPK8coexlmzB5qgp0v2BreyhlA8wgiIijlFvubfD0qQb4PkKqDFT5NuWmcmFXqyKsuAYua+clEE4mUxfTwmThiaepRxR5XLEt4Q0v6fHYiTqjJCCVPgOtCFLGvkvuhTPG4PbZjH2XrAoabTRaCVRe7yEFRoE0pR4vVlQJUjuzDHW5ashxgI/HJYwB/6+R6VwVl3kNlMbuPpfEpGmK94lPfg6lFO12h1roVSYl/bWoexXHBETlwq7Q3KwG6pyx3QCz3IGglCaOVVgwdg7wcnJqIVEy5raMbQqm9orn8rWfBZeeigmDiCdPCm77aoP+IICmjxR55SCOPbhKFtP5O11qyGtRLLqyykLXTXETPk4BVhT7tFoRb7hpxGfuHPLYsRC8gKGWBJkWV9pusOtKA5FSyAPSMW/XyVh7ilK6SMvm+aqSB/naWLBLXSbahHbdlOya65LZx3McKwA+BvpxknxWcI9hVBufIwcf5czpI+g0xVtcXEAKQRTHeEoixv6rz4bx8d+/qu9dfHFRuYNXZXHpgN3V3AXIrd52s5lKZRWGWUWhbefKXnvufPAxcGeHn0+hzQr8PZXYw4vx/ZjEpNx8T527nqxDzQNpG5p9p4S3UhrrHu6bZ7g41Xnowmkqt45KqmUF6KOhzyuu7vOml/Z56mSNJPExQjEQHn5K8Z1EWrJ4+RVWZ3J3iL1SOXNbNrfvBVKLQocXfn/O6PlqmzF4MbRzDNyVgLMCclPB3Yok0LMBfOy91pJ2p0evP8Jg8Dwls82jZJEt/Js8hPP/xhm7fG3fSBfgTluXu7NABdgVqeKm6Z1DjYFbOYdXboKaA9p3QJ07J9Yxsc9KxQR+zKMnJB//cgsIQPoIoYouIpVtpCrH2Cn/e/JLI4pz4gi6sRofd7x0caS2dc9OoVVF+t4Yj3e+esAX7h3y4FE7SSDWin4qsoKvDHRpDhynDqQCDbt6oMbKMrKfqgz0Wmb7+eRBca69Zcbmwj4X11A7Azulc/NXEmClJCnP17MHml8/X56vMCJLZBk8u6WbPbn5Pi3fMKDHfkcZWDqRcUWDO1NWx3R3KVVEliworacc4MWcPBfkWWtaudmU3dmhHIBfgrvC2s5z3libSxWlEnw/IU4T7ri/zhNH6uD7IG1wGQjjTI51AyuxIrASK8+YY2/lQBeOq0FVi2etbFpljkrqMYp8rto95BUvsiw+SC2Lj0TAUIOXijLwS3O70AKqlCj2C7j1RK51qSQYZZBGoAw2+2kEwgiMsCAqpIoTVJbsnV1X7d74zlz3VfIg9iyt1OJiNbA9w8MY+3uUtHsGebVQZRdGkiaiuOOfFdgVdirQu6JarKiFrlx0UdpXY45JdY+YsfoTQbH3TrF7cd58W2l4KLcuUWoM3M5Q/MI9USnKcwCeSZTAizl8XvDhW1qMYh8afiZPKFrTlLtLsOucVKLqZ7gupgp0V6a4mwNos5oW92iGkh96Q5+b72py8Ky9+VKt6KfKVhmmWfIHYfV3Kkq3wllJ8mSeC3BpSi0uM40utcFkBGiksADXTqyUM7l2Y6lVVjYH0K5H75JgBeB/zcDTGIgSicaWJKjf+q3/tj4MvP98+vSpfbkWks92yNU+c4uinCN3O6TIakiqh8qXPlnu0iaz8cAFcMeOfGSC63EXz16pu62DUgW3u1dPWUyV7f7gxUUzg+9FpDLijz7b4E9vm4IwBFVDKY+GMtSVycZRUDQ4+05rXJlJdRNRknIyLJUAtYwlStsxv2mFJGv8LXshlTQIo9m6IeLsvOShJwISYScPaKEQwpbSrhb3VAEjCi4T7nvjiJoM7OXNUNYkuRKrkFpO1d+qh/u/cdykYgox1eeiuUY7EqqSP6ge2kCcGPbsvW7Dtc+76Yve8eOnphaXOm8cjSIC3/+GGhZWZ/RSV+f/rrCAnNdlAsB1T8ZqUFzWrtSBm4r2lgUYSkmiHO2tip0enI2olBmTJHmlYM7eMb4Xc+ic5KNfamTzVyx7F537+e8XVMYLS+fvdgNN4b5xanwq4NBubUg5V9Bk4xHy6b06VaQq0+Kpx/e8ps+n7miw/4wPMsIIyTD18cjqRfJznWZXNs0TPzlUHelk7HuDnY2VfzeZgUcakMbKllx3S2N/h9GZP66zALWyOlfZfFVp4nzm4mzlTfkMuCz+IoHWMaNR543zc2emvCSJ0GlSgOnZwS3G3o+/Hge4KJadim3myhJXx8rqaxfgtosk19/O6xzIebVbrsEdcNuJrDp7tnagUhqV+90qQckElcmTVCV89p4m+w+X2lsKab3vooOGVS+gYPy9qFwAlwnzC1LpnHI9cWcilaftjhqpLFP4UexxxWUj3vzSHkc/GhKlCoRHKjwGQuClmX2Xkw+5o+LKUFOGwE5dhyrqPqw0McZkWjwvCTFlil+Alhb4Opcpjg/ugt0F8gqwu2S5QvJW0fxsgNcpDIcJ/cEIz/eV3YPRk0WSZ/xhKAFc/P+vc6dV7aDxP3BlImD15oYqa+fvc9bOwZ4zdwF05TJ5qbtVHkTmW5xIjSfLoflKpfh+zLHziv/5yQmG0iefoFV2zWcriFsD7erJih3wzI/KSJnMC89b2NxeQ+2k7t36lFR7JKlPmCb89Nt6/OUdDY6e80DFoD1i4TMQApWWjoZ0g80xkOfevAG8/IbLPpPGpucNJmPt3BPXFTY32e/RUiBMuXqsNBMy4DtgdcH+bGUe4/hb7ZGkFOfLKyrElE17P5NGqQC8EuI6LCXcO7GayCleZ1VuqzGgC2wxxtp5IqUKbl1KFFllcK/ib2dgrvjdziEti/teRCfSvP8zE5y9FILyMmtQZvLEVHzv4rX7t1dYqproeibyKNk7bzxwezTzFL4sjqIZQirSxGPz2hE//pYuv/7hgHZsAwJjJCOtrG2Y5t/DQCooFXYJ8vL/25+o7C7M5jeVz7J0fKQ0JYMb59pllqEpGPwZAk4HvDrHlYuhcWCPg/xZAW5lnudlYxTygChvYlj5H3AycpXlxKkMc3WUA+p8YbD7LlaBMM7cObBL1i6ntBbsnRXcl4B2mNzTGaPrQppYOaIdqZIzdlI8eyrGC2M+cXPIH/zFBCPtW3kiVCFPiqbiMUusorsLSTbGAquB2zGdS6vQBX2esjdorcvNvYrkj90KvOYl/OTbexw6GfDBz1otDopUSIbaBpwypWDwsgArv1hO95ZjV1pQl5LFmIzNRRnQWdKxpa6mkvixMqaoS8/woF2Sq2BGVPGDA/RVFsXVspz57ZokECd2rLgXJ5okye9IseJ/4KJajP3QXU7Gfe+VVtDK2oSVhTlmTKIYJ8jMtuh2twxUruugHamSg9lhcllWBxa6u3i2swYXl+Avv9RgaZSD2wLcl1Z7e6IqTyqrTm6XrXZBnBPnau0c5FVnwJUnlFsv6rE6cSlRWqG1R5J6TAYpb3ttn0/d02Chq0DGoBUxVo+PVxeuvNKrM7nNA5VJobw+JQ82TcbiBaAzn1wbxhjbXk+EsAxPJmWgvOFWwVJFroxj7xneC1E2lRdNx/YiyfLOHrs41TupKlUqAHZBL1eCfUVA5rY9FYBxRkRIU9HepZW2MqjMh9OU4E4rAWYeZOb73HgOe/uNhJu/UuP+J+poR3vbpoZcnlTrTYrWLKiuYqJ6cZ5ZM2bsWVhopUQZb4YwbtBppN14IPPFk9TH0wkvvjriO17Y508+F4CKQEiMEIy0hxLCbkGSB5pOvmNcruTWoDHC6Q2w57/YlVo6hWLSznipMLexN7xxMKBzEsvZ2uQ/Ky3NZ2RusRJ3BbhX1KOYIqrwWnVJVLeDJ5VLP6vdHauJ/wqLV1+PA7u4CaQppcoYYwsxxt6iCuzSRcneK4OXjRiTMnNMpMl0tSNJcsdEOhJFWvck9GOOnpJ8+OYWF7qB3e9a2kHvSlDu2DAWL6zQ3a7vvAp7jz8qiR6qvnBlq8V8C8ZK173dP8c+2+1P1jdTfvg7etzzRMjRixJEDCg0kqGQziZSFlQ5qEXlLixlUvH/i2xmdh1cNhf2dQ7mXLbkK7H9WT77XWR6O3ud92aK8jXua5fNgWL0xLOoCoAoMvT6hqCm8fKlMi89rfz7cVE/xtjj4HbvQBfQCJwlsqq786WrOPFFfbXD3CoH/BjIixnZ46/TQnvnLO7l44BVgpIpXmYLBkHMKNW872MT3PVw3fa2Sc9qbylt144o568U3zVfWdybeRUmd8+fezFWZjBL16Lc490tn3XLaJ3d7rSy5aHSQyUer3h+xE+8s8OvvC9glEibgdKSJHNVpBbOd7Mgr4xwMLYlDef72ffCiQ2y7noDRposwBTFDVAEncVNbyr1KiJnXfe8jUnZ1ch03KVzHRGXULTO/63AG8VWkOc6akUi5xn05IpgwP2iFTY3K4rfSxZ0B/uswt7O/vNyNXkiTdHtbbfN1o5Eccb+5ro7m3FdBJcywQ8Svvygz6fuajCKfKh7hfYu2LsIbKkcq3n7lfNDHnCuTt9uYVM5VdUFNxiVVxlWa8VTLZHaSpUc6EniUW8kvO0VA26/a8AXHlTWNkSCkMTCY4AjJXNv3AGL3W2mqsnt4dSlyOx7SlDZ35e/N5k0yYGeX18jBLrYfjALPPO+0TH8GOczMGMsXsXjangVwm5RHvgSL5+VnWcHVzD3Kq+fjblL4JtVAL2SxYWrt11vWTqORa5/i/3U7ftCexeTUEtge2oM6KoEt5eBO/BjlnuGm+9pcPB8zUoTYUtiRa69Bc4EKbMC3MXfVvz9wgH6s+iTHNzGsmZuyY2nsAtwrxgOVNaoSKmQOkVqj3jksWdDzHe8rMf9+wPaUZZ+1VaPRyjyfSDsngnjLW0lkxlscqe4IaVVtipraSvZPJcqWcJHZDXkBdBFcd01zvkzJcOPA70acJoxHDrxwyoEnKaGJDHEqcYbr/Wo3A3jIK8AePzLmCqLuwcUDgm4Fls1WVIGmCWwS3DnPngZXMpiMLupMHYloMwTOa6LIm2nvCbljz9X5w8+2cIIz/reFfam1N5yle/t/I1V+SZWrHirsXelko9x/Z0z+cpWNp2n7bVGpxItrS+upCZOfaTS/ORb+xw55/MHn/KIkxLkGsFISJTOB0nkWsEBeQHqTFdgF4EC/iJL6edsTpbZFPa/abLV2RRAzzO/WQ5VONpblEFvGRs453GVrcNd/OXnMIe8EJBqY4/U4OXlMfnI4fFHJVGxCkOPM3cV2NUsX4XB3aDS+Sz3uHNmL2fiZd73mGMic3CrMXkytme9yvaesRo8xg9ijlyQfOqOJr2eD3W1kr2Lmm9ndRFlgqciycZew9dP8pQM7oAeHC0uKu6JyZoOCqBLZzNeabW4lB5xnNJqJrz1lX1uubvOkfP58myPVAgGdq2x31Fn4DYl2E0B6swtIUv+FAtO7qTkqXvL3ioDaylPqkDPgS3HVvni3BWuS5W5RQY0kd1g45h0H0li0KntM/YmWz46VgS+exuQ+/9jS8PY3bRKkCBW+9I5iIvEiMuApiJPRDH7rnRPCnDnzC3cwey5c6Ir221IR5ZImTkmGZN7XsIo1tx+X5MvPVK3w8GlbwE+xt55kZcSgkowjBtEjTG5qJ63r/co2LxI3TvVcTrLHuZOSrYVidXdupQpWpIKiUolWijikcdrr4t47YsHnP68z0hbHZ5VQpHgMRQgtbNtlRCFgZ2nflSFH/OgMwN5bsYJUZK9sdfUiCzwrAC9zKjqItlTzsoRAlvWK/Lv48ZzNv3v2oJV0JcnM0mN3XIHD2/jxi3Lo+HoFqX879Ra272e3GVg/E4ZYy5WAzYlkFdl7wLMOMtXDnqHsQtg50Avy0arzklVf6si/Z46rxOktJ06Mki488GA3/jQJKnxSudEKoSQdh8gUablqwzuOj6rs/c3kMQskZ0zIOMyxVTkiiafepUVY4nSUSk0ubTeuNAeSaIJgpRf+JEOB8943PmARAcig6z9A2KtGOAKKuPIklU0eeGFZ6tt/n2zgDLX4SK7ATTlKAnj4gFKn3xFE4TTdV9JHpoKBotvvcrU2lotYHKydcvWrVuW1eW7t/Uuzc0fNYifECYuJka5HnUpKapFUEKu1KeV5IxaWTDlFkmVqffcDixT8Wq8OtAJKIuCqmcAtytVvEpCx/ZanlkU/MaHJ7nnkabdlEcGWUmsjycFdQmhJNvkyqys3a4cWQN0MSSnOowor3mXaqxh2jlv5Xvh3PRm5XnNycCZAyjGpZ77MwNrZhNCz3D/4wHLA6e2IAsz8yniZcVhyYpixd35jSxLTjGuI70s9Ma3bnckDqWerkyvcm7+fMcHnH9r3FUPu0VLs1Gjvbz0w4cOHjjoNWp246Ik0UTRuFMyfndUpYd9byps7jK1m6K1+spU2LziJ1e2xahKE7mK5s53GFj1UG5gmZXCZq/TIOXDn5nk019pYmoKhLLoFB5Cykq/Zdnf+Cwd8y77rCYIWflxccGqRF7KFKgEmtX5hVmQmc0PNBlzG6PLGhUhkVqRCg85SHnbqwY8fcznPR/wiMKkBLgQGO0zIuuuyvPrqTWxDaYEZcaghiwhqE2BxSLYzBkZy+bWHiwXhPz622BQVFf4NMdPxuLG+ZpOAWRFXVTksz2BWhsGI02iE9uy1mpqpBCMIo1O3dP+TP/RqjYqZcr4OGQX5GZMorjOiWF8BG8F7LnfLTKAO9q7wuAydZwUF9wp0qk9+cIDIR/6fJNhmk3BF7k1mGUthalo71VT8y7Q3Zt+7LxUdfjq7JfvZpB7zysympgVJbRGOplN6TgrQtnCLJkVZ0lNqj1CX/Mjb+px72MBX3jE2oW5N44UaOMx0lk/bg7yceswQ2ohpYRAkUsTB+R504OjufN/k4NWSJDGVEgid0CMI1EQY5nhHHsF4MUKAk5TGIw0oyQFY/D6/eymTUURxVbA/Uws7rA3gmJPnVU1eJ6aX805yQHu2oMuuEW5s5daocN11QMfZ2+ZlgGmF9Mfwa/94STHzoYYr9wtuaK9c4lUAfYYoFkFzAWEx4KXZxHk4xsIVDOabvGVq8dX1qZomVUcSpfFFSLVCOEhI82uzTH/5kfb3PuvQrrD7I/RsvheKR7DPMOSF3frEuRGAjoDtaFwWFQWUBpJsVewEbkON06Sx5G7+b9xSS9jzWqi0BTFa+NNygU9iPJ+zOEeeOD79lx5QX0NUiqiYYc4HtrRXxh7g4+xeO53l4AuP1vNHnSbAdyZ0aVEcUbvripRtOODO32JGZsXzF1xTZzdeTPP2/NikhR+9xMtHjlQs563zJm7dE58UZUlSlRZu1h9VmHuLHLCHbq5Gl+vYPIx56RsgKAsZjK2mGlFtaGwDF4EnVpakKcSLbIjzaSK1ly/L+ZnvrvNb31siijNWByKqDBFMdK5Fs9y7Q7IC4kinCynsBv0GpfNJQhdMrfMpswaU8qW8XNqClkiiiQQDrMLYUpXzziFWQYH+LaTfmZmkumpCbtF+Ste+TrCepNTx57koftuQWV707uAdnV5eUFN9T3VyaYrRwWMOyhVQJeAN2Mypbo/Y8neaanL3aRO5cgCy1rKF+8L+eAnWrQHvvUAM8+brEnXOidl1tIt5VWV771SfxcnuBKWieK9GAf0GGuvwHsF6AY3AVSydjYVNpckbhJIWBsxlQpptK1XSRQTNc2Pvb3PQ0+F3P41BY0kY+rsG0pBoiVDcjYsQW6wpbEUtqX1vLNY1Zb15hJG53KjlC/56m0AaarWajGNWIIwrgoQpWLID0Oh0YsFMmNvIWAUxVx//fW84Ppr6HR6eJ7v4XkeylPW9VBlHDyuwStDzIWzRJAXyJhV9Xc1mePo7XxouitLHElSypRyh10L8LTqd0trBcpiX3UbWEqZIL2EAyc8/ufHJziyENg2+Mzvts+yZG+n4bkC8tXkSUWajE1rWqlGqiplhbvgsniZWCkaIVgtjT82JCgvxDK62FRW5FJFGIT0kLFh90zCT7+jy4kLHofPCoznCiwB0ifNQM4YyHMBrBxkmWw1Vxm754FmXjBVsPiYdLFwcefkgEjH45sSh8JUJUqBzQLo9oRqbTfK8j0fz/PwyCNoQdajaMqFtCL481MwlsF0GLtafzLG3NIFeilPKsydSRWVyZCSyR3drXT2fjyZUwJdqRQpE4Iw4UJb8GsfmOBTX25gfFWm4zNpshp7K+cGXOmcVE/weFLHPVelDq8CvsLaY2DPP1tZk+Lq8BzQbgCad/7IrKgpf50Fn6kmQeNL66q0R5Kf/03FxWUBoUu3AoNXMHkpT7IbLX/OWFtJMDqTL4WbIrIgs8rkQlq3xDgNLsaVJRlgjXOOVyPTFcPzHVJJ0kzCyGy2TuALwjC4UAu4bXZ2CikSJxVeerCqAFyZUnfT5nKV98Vnqtw4VLo/F7ry36k4JKq0Bou6k7xicMzzlnkwqZLsta01idB89qt1vvhAI6s1yZcomTF4zt7lrsHuvEGXTVaUxTpavLKqjTF3cRHGtciYXFk5OyTb3Ve7IC+ZO+/0yfV4qvPEj5PaNxJtVPaZfZ0kHsJIXvfCIW9+SZ9AJLbHS+dHDMZabImBoYaRFkQaYi1IDCTFkH5Isj02E23dxXIrwmy3iiwoTrOsbPGsreOhM9a1h7tvZ/nfcz+3PzNoY4rn/HdEccrE5DSJFrcFQXABIZFrN1zOgSe+ciKK4//RnNiA1mlFI1cALB2gFtOkXDnBGLB1tlGprvxvK904Famhnd/nfuaAO99OuqgOTCvOiczqvBOh+cwddd7zhxOcmfchUJa5ncBSZOAuspZjFY2VOKIy+0RUAFzmBarM4hJ48cqsivGxD4UDdrFCkhSAzydgaek0RkiMLmtUbIrfdv7o1La4xSPF1lnNz/9oh7e8qo8vMnAbB+gmwWhtQW4gMhbkSQbmRAsSUwI9rbx2wZ7vHleCNR0DcAFiPQbaDNjlz6tAz1/b1c2QJCnbt20kjuP/8Zmbv3zimqv22Ja1dtfOCOkNDKm24xGqmwaZFRaO3VHX0duUQKj43tnnFYmyWmApxvZAz2WKKl0T6UiRHNzSCShzS9D3U47PSz74ySYHj4bQUgWobWLHau9cmhR9lox79KzeMe8Em4U5JaoBpViVyUsXZbVkj2VtPZbwKV0UWWT8qul7KSzIpTCFNy5yZs/qCYTQduqVsd54PDLs2x3zI2/r8sATASfmnKWqCDqtDEkQDIUNLslGuBnt1qGUuryoUamqHpuul/ZnwpQrYyFjrCJ2PqtWGeYOSpEAMqyQMVJm08ykLYmGrCdzy/Z9+H4NTyUMO0dRUleXXRwmI9eY4+7ImGNCFeh5cJnr8cre5s720DmwRRFcako3JS+ccmRJ8Zllb0+lLHYFv/OnE9zxSK2sEswzlhm4lSTbodgdg1zerMoB82q24GrAH7fAv9GH211fqSo0rnzJ0traAkpnswGNcMDvZDqlMGhhENqeZy2UfS+UvY2EJu1rXnXdiH/8rg7/8Q+nWBrkwM4Qp0UGco9EisJByUGOtkAmB3xGFvl3LPa8yktcshtCZDeB2+FjxsGan1OTx3fgjh9hDOzGGKRQbN+2jedfdzXd/iC/R2HNmvXs2Lnn9lCe/42ZKZnVbrjaeUxXjzf9utbeCmmjndS6K0mqiRulrN1XuiVjXTkrqgPz10kloTOUhvd9sskHPtGiG/u2kCpn7sw1sbP7SuekUlRFyQzj2csKU68K5uqc628E6ePd9QWQ85+5botjF5aSxbUQxyfTWqmSt7flAzy1KffgbHnwE2/v8pNv61LXiR0LZfLn2JErVpOPMk0eZ0diBHEuUUymxQvJ4mjzMTliNXqmyR05UtHgrkTJtHqaa29Hx6epnUeYEHLg2Nxv7Nu39/aNGzaUAJ9ds5H7vvDv++lo/rhSHojqJKnSrqtq7HIYjwN84QK7epOM+9uy0lpWMrary2UOaJVmMiZP5FSZW8oEfM3TR33+1+0NOnE2GZMc2F4RYAoyaVIcptoDOi7HGHvtrGorsm/FCjemvZ8N5Jk2d0dIFPqb6l6W5U3gNCW7+ntF548beCqrz7VCG4XRiiRWtDzD972uxxWXj5Cpq8ddsKclyA026MzAnZhcl2cB54pgkxUaXI/r8zGgu7q7+PfujVBodVNocN/zOHt+4fgP/tR/6G/dsqmUKABb93wXvl/j2MG7WV5+ABW4QzPHdHZFhrg6PJcgekXWsproMYUsce3BUoeXTF4JLIWTpRxLxXt+yuPHfH7m16d54nCI8WUpSwoGl44taIpBPuM7NaxmDa4mUyqJHYHzrrRXviG5Yqovq774uF1oxyLYeg8LXGlKyaKFneqrjbRLuDFoI7N/YydkCW298RRjr21kuPaymPf+/DI/8Z8ETxzJghOZfxlRLieZXDFYsAWOfajzlrZMouSrovXHyzqW/D+ba/GyZsVUdXZ2HkT2610rsaLDBWidcuML9vLtb3gF/cGQP/39f1sFeK0xgx/U8YK6U/M8lrCpgN1dusuEjQvmYqdb6XrfzutVgF6wtnABniJy71uVwJZZQsfzNV0j+b1PNnl0f0iqHNYWZb0JOLZgBdRV5yRn5fG5gyvGQlTAXrL6s5SfrCpPKhh3sphFn2blc5fZx2rGjZ3brXXmAQs7mVbnehyDFjK7XtLqcW1I0XjCcP0VI/7hW3v8wm/5dBMBPhRFJHkzJQK0IhWCKG9j08JmcrJng21GzhP6JpvLlieBjEMgOeCt/+1sO4gDapwji9Olc3pFxvjNRp2N69fQ7fWL81oA3A7h9I+0muHRVqu+O0lGuJtDgVkd6KuwdMHkxWfjTD0O8kzSCF28tjo+dQCfZvUoqWVykaBEiuen9DV88FNNPv7FJqMczGPMjZDIDNzllnur7LPjsvc4Y4sS2NVkjijAvRLZX0+ejLO3Awyo6HANxSjjqjdeAt6CWxasLoxAZDUqwkibCjfGvtZZ0Gls/2IgDO94bZ/9Jz0++MkWvRh7wnSGwvw5g3CqZRlIZql6WyNjgaxEXqtSgno8CeTWpligV7uAVpTNCspkEDl7axr1JkGtcTQIwyNqFBfntOjCnJzewuljX73NCyY/UmuuRZA4OluP6eex4NNl4KJ+O29EGAtEK/Umbh3JmO/tgtsprJIiZ+8U5SV0I/jAp5v8pw9McGnBL2q73VoTewiHvc2KbOWKmS1u+S9jYHffj7F25Wfi2cGdo9ottCo+q7wVGaNXA8yKP54nfnB+rkXFWanqclXZqtCOgFNsmNX80o+2+Qdv7dIKExvBmdTR4zYRhEnBaLS2enyoIdKZJnf88tRkGt2UQWUekLrBp9Yr/e4iWeR+7mj0/H8bJ5pNG9cyO936yM233nXbrh2bVzK4XTJDEPXPeUq8JQzVdcauLZkPnu3+ULyu2oGuLHFT8KV8KVm7KLRyNLfL3FKMBZi5LSic8leVImuGT3+uwbvfP8GFxSyZs4K9qxlLu3lrdYB9xfOGZ/C+RQW8jsx2gC2+HmF/XTZ35xa6UgXGmdsZkqlNNlVK2G20RQlsYUpPXIictcmec7liWRztEUeGjdMpv/RjHRY6ko/c3IJatnSsYHL70EhibJFVIJyiqywTmzM4GXvrzMQo9vspirAcZs729iGXLo40cXszjTEI5YOQj05P1T/X6Q4r57TSR7/3mtfSn/vUPc1w+cFa6OjhouWsWgQ1fqi8pFVYuZED2GXn8cbgKrgzICuHpVcBt5QpKtQcOePxJzc3OT8XlOAWY4eUiExz586JlyUmxjt13Eboiu5j/E3GzmP6+xtUJQWYn/Xnjvdd2a7DvRGK5zKrWXVVyoFBNm3vpvOrLJ46DksSSTauSXnXt/fZvTWCKGPxPNNp0tJpyZg8T+1bhyVL6ReHyJjcvtZmPLUvVrUN0zG2Li3Dcjip/Zni/EL04O/84RfveftbX185j974iZ2Y3oIQkv4gRutu0S/pBpMiU/Y5e1c1+GrvcwbXTlVhntBxAkrhgt6RKcLNWKaoQHP0nMe/fe8UX36oZhsoK163631bzzsfA+HJlVp7tWE+lX/jjPt9pkrCXKNUbozxfy9Wd0nyu8LdC2fFSLfcHzcU7G23zLPuiMgCzNWKsgR2qRdaZkkiidDYbLSWechKKhRoe5310PCaFwz51Z9p88vvneTY+cAyBBQJILIRaZYmFQZBkn1/rUu3Km9IloUuzzKbedBJHlRW3RQ3EZQHk66jYocWaSZadfZcvt0WfY09VgB8atNbkFJFp899giR5Gi8sg8JVZYmsAt8NLCvgZpUAU+qVAK+AO3XkSuaa+JoTlzz+3e9N8vHbG0Qi241KuP2VJbgllr3LOu9Vtt8ea2qo+NsOOAsAO//GtQOflbjdH65Wj2JK52BFsXheQls4KtU68TyTZyqZzbIRQmoLYS0syEWRCc0BX0axuWRJtKHmJbzz2/qkGn75dyc5eSlzVhgDd0Wy2JspT9HnvZ2a0lnJu4KKTnxpisDRWogie5+5cKtYhPnp9CU8b+8Gfurvvy5KkpTf+tWvA3AVrKfeqv+rdRu2X7mQHnuVMB3G2/erTQzPZAk6XrjUFS2+GnPbn6XF+9warKThvZSTcz6/8N8n+cQXGkQyG8clVjvcjKUzvD47iatKE6ASbDrIHfe/K6Aep+2/wWMc125d+Mq0vf2l+d4+OYNXGyMo9XdFh7sgz8bBZh2hOgN33lCcJOB7Kd/3hgGegl/871OcvBSQzWGu3oTaWOGcZYs1gggrNXwp8Ct/i3XnVP5ZVk+T/705oHOg67xOKL+Fsp/HWtOcbnL55bu+ctnOrf9q2O+uOK8rZllNTjRYOvWZzsyUOjgzFadh4JbPrqK9hRMcFuCsJmpyYKsxGVJxSRxwywLcusxUqpRzi4pf+t1JPnH7KuBeYQvak+bLapfOauydg9ndN6i8oVceqwWY+dWugP6vge7xAHPcFy8/FOji31rw5nJHUx2iX1Ycltv0FXMOc22uy61RTFGBqKw+14okkXgpvOPbBvyHn2mzcTYuMptulrM8XF1udXeUOSyFy2Jcd2Vci5c/L9P3Zdo/L71NNAwTSTcJVjvR3gAAJt5JREFUU60aB9/3J7d36s2Jrw/w/MLqpP0zQVB/3G7QmjO1G3SuTNCoAtCl3Kim3U0ZNBbBYylLiiCzYO58WI8m9QXv/0yLj9/aIFIuoL2xZwfcYmXGclx3V3V1CdDVxkO4/vdq+rrIZArx18V3NZu5IqlT9b3dtH5hCbKSwasltmXnj9EZmI0z+s2IAuSpUUX9uDYKnUq81PDON/T5sbf08PICkGcEuQW4C/KRzgLQLL2f24kWuA7Qi/r21epUhFOXYs9zo9l4fG6x9zPPFLSvCvC1276TXp9U+9eaYRRi9FhLmahW+OW1JKs5K2IM/C7Qq1WBY13w+aE0eILb7qnz0dsajKTKqNYFtMPelNKk3FfHATQu0POObqjstyPGQO4wtau1XUDn/2BFmew3Am7nH1ZkisPqK1wTBEXdeOUGyKZfucB2miPc4LN8LouxLINnDovL5qkk1IbvfX2fb3vJAJHq0ht3irJKpyVxwG4D4TjzzEdGEGfsHTvuSlmo5XjlY40PudcvBUzWJd/24l3GF1H60z/0+lXPr3ymE79m62uY2fTyj6pwfQ8BK5M846B25YaboEmdtHvKuFtSnWOSFnNMpEyRnkb48Nm7a/zcb0/x5JEQI+XqwHYDS5FnK8cDy2oipzoOwjCewcxBXCnfHNMtldT9GKi/LrjH0pgr5Yko3riNDyvqUwoAr5LhNKwAtJv4MY5UKTe9yuWKBXdqFMYoTCq5ZnfMf/tnbb795X0KRLoW4njjhE6LbYpNBugosxNHprQT8wrEAujZZ4kpO4Nyq1Fre1q2b57tvfWNN370e9/y8mc8x88I8KnpLSZqP/g7Gzfvnq8FwxVdN2WG0zkcZi+AngePq/3bwgLUCJEicjtQ2CE+woNP31nnF/7HJE8fD20B9wqvuypNhMyCSpydGXL9zTion0VurOaqsPJYla3H2PjZqXuVz8dqVEwF6FTAXH7mpOxhhfYufHFXj7vaO5MuhVxxtXleZqsVOpJcuSPmN362zd97RQZyrVkpUZ5JthibfcyAbiWLKJk8B3rmi2sH/LlfnmhoDw1XXH3F/K13P/U7u3ZuecZT7fEsj7UbryCJlukv3EMUDVByzD0h81Kdzwr3JPe5MUWgKZwGhkKnZ+AuspZZzQkefPquOv/6dyd58ugzgVuWTJ4xrV9Ik5XDe/IunMoAza8HdhezYxbiKsWDDtq/cR1uxi5PUUjl/LysS7FGcJEprLB56Ykb4Y6bMI40kYis8951WciqD8nqVHRmzwiRRa9OlQwRXLMr5j/9ozbGwGfvalhnRT3bX6lx/5HWophYkQrwsSytRDmq2ZDt5iacLVGy8zA52eR511zOujVTz3punxXgqr5pNBz0/yH+5X+ukkeadkD+eOnsyqMEcKnBRW4FimogKlyfW6QIaTX3zffU+MX/PslTx4PVwc0Ye8vxWpO8gcGpOaHK3iskSSVgHAPzONipNj7kd0D17deHeD6Se4U8oQSuvaqUfjjGAa6r0UtHpWT5vOiKzCZ0wJ7bhrm7khnbxd8gbTMwEoRRVo3kP40M1+6K+Y1/3EYb+Nw99dIXX/lXjv3Amn4Gy9K5W+kJ8BDo3Dc3dhvwohbI5P9rzauu2tprBPIf7t6xYfQ3Bviw19d+Y9/9m3aJ9vLJ+5pxbJcw+9e7CaCcqS2vuPXdBbClA/BClpQAVyJFKI1Rgs/fW+Nf/vYkTx97thR8FdxSlAkd1w5cWeddZe9VEz3kYBdjYBcVls+hXAD+mXTL2GdjKsT5gSjoeryUthp0OuB2bwbt/CeyPk5BCfSKR57POMwymdaItiyusyyMyLdv0JmdSuZe5AWxUcLVO2P+8z9pY4zgtq/WSHP8uneplBT0nk8BKsz0TDLZX0NKyeZGmKI+JW9bizSk0ucdb31V+8XX7Lh/bmlZPxuG5bP9sNZcT1Cbngu83jsmZm+IJaPihBaVg07RlBCr+NqO5lZiXItnwWXG3EYJvvhAyL/4b5M8fSIHd2bxi/HgMtccZYeOW+dd3dNyJYD/f+19eZwdxXXuV9XLvbPfGc1oGA3adyQMAiEkjMHPLMLGOCQG7CR4efyC/YKfbWxjJ2QVznte4iQ4tmNC8vASfk7sAIZAnMXYsVieQWDAIIEljRYkoV0azaKZu/RS+aO7qk5V9x3NSCME2PX7Xalvd3XPvX2/Ov2d75w6pQI7yFpyE+TZfQq7Vj+6f6JNWC+KDzpXEzD/V8qIDLirbEN6DIbVFjHl4Vl1RfNyrrm4mv6WzARSTmiN4YyZAW7/xCDeel4FjnIqpcJC1ZS8V/JhRepEBlI3l/w8zWOR37lSDfCOi5YGA6PBNVOmtB06vXfqmPd1TIAz1oC4shFe08LdvGH5tkrYjSBgBtUwdHGSWEV1cBvU2oonL+bEEC7Dw08V8NEvtWHzDh+qzBSr41RCgh0mNYE9O4dGL/Osdz3Kki27lgtoCnx7BOguxwR3XvheRSxh822ph1ONHBrYIIAl0poCPaiyAq2Hq2AQLUNB66tY2nkqH4oaw4IZAb52yyAuWVGBE8nF4mmqLZUV5X4zYUs+uZTSkgI9TJ86Loswf1ozrrhg4bbzzpy5+6n129Hc4B8/wJNfx0HfS8/uOHSkeKMonAshIr1kCAEyp7kjMnDDCcemgE5fDovh+ALCZfjx0wXc/Jdt2LzLh8jl3JYV5ya4HZZfz/uY087o1DsLo7nOpmXJTfDmVOIdA94is5G+JWacUhD9F4QGfmzRFBCrTQaGXbhTg5wb1pyqKEJFNyXYHS0hKsAnQSFRZVgwPcCXPzmI/7GiAh5FyWLxItZgRp6qYv+fmOs4BXpVAGUBVGKGWhjj7RcuRHshuvHxR57c4bpjerUAjsHBAcApLkBQG4HrNe4dOlB7bHT/o29xWT+E8NSNlQoJdTBNVUWDnNFIZ0Fg52EXT/zcx5o7W7B5hw/hj6FxS6vNdSKVoiZAZnZOXZoCmfMtcgBvDgKFYhLNVEU1KV0hg0M6Q4b1P8Z9VpgW+kKC8HGVFm5x8MRBZaSPsLg4lJOZgFpo7ZxL7i4dzERm1SkALOXqPOXeMZijVRckuwCkxiOIsWhmgK98chB/+ncx1j1XwM7DAKSRjQFVn9scvlAzNUVqyFLbGwOoxQK1MECpsxFLly567Kq3X7B3+GgZrS2NxwT4sS04AM9vQl/f2i37h9u+MiDehFp0FJ4XkFwTmidOs//ki1r4xMo7BYHNezx89ust+NiX2rBp5zHATWXB1KFzFLAFKflglj2myVUSlONRTzLWPjfPhBkqS8as2/vzgG0He3J+ensgyPOMJb+hAZ0MFDMfRQZHzJITlH9Li61n/RgVskiuigwAxXUs+cIZAb766UH88UeGML83AKrUSlPaYlMWM8yvbkgYoyiO4H3vnIGF84pf+fGTj20ZD7iBcVhw2XYNLUU57Hx6VtvAAw7ffXVY60uyvSxtm1ptpiRBoSgKgwAvAlv2uPjsHS247+EGVCIOFI4FblpXMPHBjWW2WU62ILIqSb19ZvqrBqranROD19SF4ZgmegItA2pDy9apprKvKSemAEaagqosu9wPknkIorQIZbk59CTmdCpOek4CfDUtnqbJSi2DATyM0d0R4forR1HwBW77m1Zs3QOgQLxlpj699aJ3IV0RLY5x4fLFuHTVogeWL5n9NDA47ns5boBfsrwLQmzaAbz54we2PutUwsNX+c6gWtYvT++mWncSqRTgHrB1t4c1f9uC+37UiArYhMEtJcHEoSS5JZzQEVh0Q/7PYfBqm3/TidbUebTVlIyiQq4zbrSLvK4JxzasMgGz/X9ynDigMsBDKYi8Vox0bXmmpnsJkSyxLdMCkiCRzE+JwcDTczgQJ65PTMAMWCBP88NFJUbBFbjmkjIggDV3tGLbXg9whQVuezt9L7R02dXRiNO6eh5a9qa3fXzdC3t2rjxr9rgBPi6Kom49W4ihA0/vLLZdvMErng7OqkoOVIV5lByoSzsk09AEeJHh5QMu/vSOFtz7cCMq4OlkhTxwc/3iGpWcwVxiG6b1pnMsVT66BU611gvT+mqePEjBnaElxn2x8DlBay65t8HDrf9pBSw6+Zgez1SnFeb1TIWF0BSrUq0s5qmVFzrNjRM6Q2gLpStSRgyBBsS47tIy1tw0hJlTg0QDzKTXppRE0hWlvgRArYIz53Tjve9YvuFHjz6zc+VZMyZ0b8dtwWXzG08HvDlf9MWTc8To5vdEtYHE4WM6HK+teAJ6cKAmOJ593scd9zbinh81oqaAy+sDW/YhqHEg80yyNQXtmt6ZqWjQIM7kfdNtAnLDIlvW23Y0KcYn2hQQDYstFRMCbkYkRMnDmTD4tUg7qPXjAWO6VxKFZ3BUsEhOXkZSWJPUWBFIFp7lSCtIMcLb08ECcPV3kpGU/Mc5EIURCo7Aey4tAzHw9Xub8NxGH1U5I0i+uM13HCAK0dvVhDMXdH3vyred/cUXNu6a8H2dkAUHgIaWufCr/2+w2DbrhlrY8biAD5dMEuZM1y3hLEmYKoPhWz9oxNW3lPA9OVkhF9wMRn4Jp/KgOXFYripg1DaBqYpwmVZAU2GRU8BfApOZ6kjd4I/lROYB2piMPB50W52zNQvle225Da5OpEHboqvrUAtPnUwqLar0WWLJUytuW3Iz85Drp4BhyR1EEYMXJSB/8C+O4APvHEUTp04lcSylNh6FKHg+SqX2x5ct7rnhtq/dM3jW4olZ7+MCOAA4bTeiUu4aLXT+z1qAEipRFZ5XS2RApYML8AIwEnN861+acOsdLTg46CIAN0FsgLue9g09cTilJi6V/mDSEiPnxJAFLXWEgteiIhTE2mrTXBOTbcvFp7JIr4NpSkkyaDVBLi+UpSR1UmjBcvfVjV7aM/KFzDeHimxq1SUf5HKWvlJiCMjjmCOOGNxYoKs1wud/dwjvf9cImng680FRlATsLAzQzEawuKcBt33sN2qtpe7RNR+97nigOnGKIluxbSGEiJ965qVLV/3wkQcbPnjFAczojJIFiBwB7gB9+1w8uLYBn7+rBQPDjlzSmAB3DHAzDW7lVBKLzXl2IoMpAYocC0y4tw3yMf7P5eJMg34sPLO6RywwQ1vqXJWEEWCTSylOnjqXkIoI01HOJMMwJTw5yopgZJY+pJaeLE/I4zi5DtdWXg42OWiAZJa+dDAdDgAxYjjaMQUDjyPEoUBHS4Q/+/Awip7AQ2sbsOVACkOeZF3N6Kzid66uYe78JeUVS2Y9xflx2eETAzhjnejbVfnDYuka8cTmfZ+YO/Xh4m+vDsF4BO4J/HRDAbfd2YJHnvdRDQm4pYhfF9wS2MmvyJGf282tII5RuIcoKplUWLJNcWfTE43rnJB95mbAPumYgLbBzSTCWd5BGNwcINIho6fpNFshrHNtUKeKigr08KQEhaIpDIRzJ5Y86RSDI11ZGQxc8DT3Lw3x8yRKz3mS9WeCHMmqb2GEjqYIn7tpGJe/uYo1d7Zg3foGwGNgwsXyM0fw4WsXVLpmX/llMOePGGs9boAfO9Y5Rvvq7f9HlOaseuzseZ6zckFtVXvDoOMXAvz0RQ+/97U2/OSpBkSCglvSjjxw8wzApeWW9QRdIxyfRittS87k7CO5TQYBqWYlhRmuthnJFyfCDSf706zFZPAwdV5yfb2YF4feltSFG++RffEsrZL9s7nr+hqcZjgC1n6hBi7yrg17n5U9SeSizBMt7Z9uZJxvuUGJnJmBKeB5AnNnhFg4I8KmHQ5e2V8Ac5swZ/b82rJFc784pbDzz7zm88MTwegJARwAHv6HK6Lzl3Sv62yt1Hbv3//Wv31AsL/8p3Y89VJRr+5EJiXUBzcBeHpndLm1lJoogJopsSZw6TEb5ObcS+NYCl79Hgq42UFgASwdCFyBkVl9xwA4kAF77mQM4j+AWU8nAnqebutFabMDRm+L3Ceb9itE5hjI4IK1X55jeCgWyGWqA4CkUE8MzOyOcc7CAK0tIQ6Xp8RdU5asCbD4S/c/Lqrr/uu7J4TP8T9Hx2g7t3wbXR3FJf/22J7n3/8HzzgjFQ44NSTZvfIOU+s9fnDL2Tl6FTSzIqyRb2IvwZ1jvQ2w035cW0pHWVNmDoB0cDhMb+uBwfQ2S7alpWeMwUnPl9fJDCZjnyyVR55ImW3ZR5eudhg9Rkt7yIGfUwCVbDNZlJTHxkK9uhKwnRZNCjgZeUd0xpYAS+Vi1UfmJTEpLHIw5uLwIMejW3892n904VkFZ+TFG3/z2hPG5vGzd9LKYjGK7Uv7Co0rbrr2qstiz/fhhGnyA2OQMzgyk4VRH9x++jLC7xBGgUwlA0rLB9S3jrAslRzh0vqR9zCOZXm5/S4jnihjRY4b/Jls2xs5x5SjmXNAOpag6gk9J6O0MOO4rLEiZ94ntVVyJjKDBInAiFrCDIlQqiw0t0WoMhR6jqdcjSKBR4yRShGF1qvji5effdOypYv6Lj534pJgXjtuJ5O2hfNX4Gc/31K78tIL7qpW1jdevDi+/dGnD+H+x0oYGKUFeuyJC4SXE3DbYXizaI/OJTGrVIkMgHMdTOvxbwCS9EedYxTQmSSrzPb4mxhjPyPOJ80sFDn7wKg6gjTgQwAKUpU2vXZih0TOAEgDPpBOqXQUZapu4nQKCKWm8DReH8fas0wCfw44jxCnNpXHAtyLMVQW+MeHfewenItzljZ96pp3vfUuv9gXlTrPnwxoTo4FB4DlZ89DEOyIrnr7tVuv/43Vw5+7qYgVZ5QBYSskOeAmYXgdqbQXZqWrKNs8NVtbUAM6ZzqahKJl3eU+yRONwaLOMa22NQ6Or4ncTfVGWmYoGdAM6Mi+GV1dRhfTpKlMWQlQ3TzlxST4Y1hymOfr8hN6bSCZX66zE5m22iJdI0jtc8DA8djPXdx+/wK0Tn338KqV7926Ycu+qNS5YLJgOTkWXDbPawbE0ENovvQju0bjLw+Wf9IBUUWSFZbDuwm4WfphcusIQmSsdwbIyHHOcvpkBwDLWOSMYbYtNu1n05fjQLxS82Q4HUQCFPrvCtD3cgKy1r0Zmaep5MM8686EBfK0xmHMwLmWGRmYOjdOlzDhINHR9IsmUmOyikQihbN0/iYH54mEmIqLSAx7DMGAWuBgwcxOfO0P394/a84FN+87NPhQe1vLOO/a+NqkApyxTgBA346Bu6ed/i73qnd0frEa/FvXSzv7URMFgLvJXc4DN9MvM+2V1A4E4eHEekvgS1zlqgTEDBv71Gc36Uke/4b9PgfoGVyPAXQKXvOAdR7Rs9V+EvyhOrnMX8kAmAEs+YdYbWHQHUaeDjFJ+tMUJi31IANC6Q2RXF5Sl+RXShzIhOIkaY0x02kSQRhhtDYNM+Zec3BR5+rfAyp3M9Y7mXBMP8lJaPNnlhAz8c0PXH3hrX/+yekHp3XFUMtoU1oCDW69rJ+wqImmJZSeyDkfda02RIaW2E6ndAMNMDPtHFqeqGoMuo+Bz8ngKyK7bSeTglIUelwlYOmT85xNPZfTmhRhZTTGhJZky79BB4msuZyKqhBnNKE8HFHsIooc7D7k4eGXVh1s7Fx9K0T0TWkcJ7udFIADwIzuZpze/M27LlxW+MzSufP6G1wGV0Uy00adSqZLPmQilMxyJCn3BrKvY9GS9G/nOprybZ2BQVtd15KEHCdWhtMEM02yUmC2UmBlRiHtr2fYyy7UmmcnKksAGrOAFIjNhCyzKhadyZ9VVOi6QUBizYPQw0i5CLewpP/FXd2f+djn/v0uxttPFgxPPNAzVrvt//4AQdsHXmhrbtvV7LPLd+weKESBgCwAzRmDx7PFelTBHq6zBjkJ9DD53rbqKnXcHBiGY6qilczYZ24za78O0qgnBidBFM7IsVQDZ5Lf2wEes9YhpUH5kUxTBYJxjFnHmUmvAB3JRPI91Pmg25rXJ9uCONpC9YXsS3J68ge56dfIagsNfoxK1UHonDHc2jbvI29ZEn/n2l97Xz0BaVLapHLwvNZYQNzZ2vI93+0Juzqq397y8vriz7aVEIpGeA5QYFawBlDVqBz1QwpjJo6eklrHkbRfeX1oB/3LaU18DMNr8vD6Zp2NcQ3ZDEZSh5NLZ071ZpJ0J7tpQpad06LkQEbWtEfiaKqnApNPAaG3BaAWeEVynvwEgjFFhWgWt/wuyfzkpMovWJSCrIZHNwCdnWdWujtn/g5zOu6rhaNjFu2ZjHbSKIpsaz71HvjFoWj9znn3ffS65utv/q2eiu9U4DOGZgcocJ1fkiwMZXNuM5GKyoKc5YHYpDHUStm0xDgXBJvGYGGZvrD60R3HQ8PrauAkuGNQE8rN6ftMqizL/g3KxUGDN5TCpHQFFmVBdp8hP5JrJLW8OYLAQxw7OFoJ8VjfOZX/XD/v+hmLp9y3t/9odPqCD55s+J1ciiLbfzx4P/qeOkP0Tt+78cHH528aGW2+sjo06DW6AAiAVP1ubgd1qMOpawxynuN85lASe79OkCJ9LepC6UceLdGhfUlnGDlu5qGMSVGY/u42Vcmr42IrPIZjnBoCWNdW2j15OqnFs2BRHCCzX+/LGcAsWwtG/pEodlANXFRrDpra5o12d53+gd9+90fuW3foxfiWG69/NaB38imKug/Op/ChNd8Rlzdvv2dk6XR3Thu74+eb9rTtH44RgSuZT1lraqnJDc3lpsR6wwYDLGCQYzaPtB3CesfqzbCfSKunBMptLd2ZSolxjkjoAiPPAJ16m/AVKQcyqZszJBOL04nNWndPKInUyhn5HIxJXZxUvE2/uBBJUiyXfegiZYgxUm4A82YP+mHP7z7+eOmeo3u+iuZpH3u1YPfqWHDZnln7fSy59P04e+GUDTN7O/Z0dE296KVXhhsPDVXgO0wv0kqpiUVXpDVnLM8y17HihsVk5jFOj5MkKsPqakuusgqJJWfpKNLXPraTab9gW/W8fpbzZjie6QaXnwX6OB3g0gG06ZstkTLI65ApfoYbqc9XnwcysSuC51RRbGyB3/Lmw6PR/JuHK+3fOXvxYUxb8L9eTcidkGJ7Qm3n3n4UffeGv//+T7/wN99Z2zU6dBSlIh9j4jAJ/vA8UAsDuHk1CKkikrkGJ8dUf6bztKm6wnQGIaN9mc4YpPsopVHHeHbwORzGMbk+qUnHBBloZmYh9VnUMZXxp8+l56kKZCQL0einjtNtaaGtFazTfr5bRktLEc1T33Ww0LH69yGCbzBn6glj5njaq0ZR7DajpwP9A8PfuOm6C5nv4PPfvW9t10D/IMAcMJgcmTCKzPuEvuSsTJw2k8Ywk8OSYzAsl2nhkl1Z62U0wqHtlrvf4hssu8voSimLVE40pZE0hBxjdq6JgCQZknKoZM+El+iQPiEjIv3wZnKXVnNUVDONkFarQMy6MbXrbQcLHVfcCiG+wZz2VwdUOe2kqyhjtY5SCxjjd33w1y749C03XHZk7qzupMoVknkSDrEaeY9149Gbsy8T3AEBpzUSDG6e9jTOkaFrQsyF3XMMkI+rWcEcc9IxDLUkd5ueYyVwCaOPFfiRqkrMiESY3AxdngJ6crI6j6nFqyAA3wvhFaehufvdR7zWyz8dRfwu5hz/dLPJaKfMgstWam1EFNbuvuJty/uf27x/7qx54Z8/uvYJz+UMjHFVU0+2DHDrgB8wsJrPO5HBuTovbx8AZTrrnTuRVjcXhfxVapnVOel7mqJiJGGlyVcQAsq9ZPpaUheXjqV0NKXerSY4p59CJk8xmrnF0kJCcp15h6Grd1UQRI2faT/t/K2CNf7A9V5VFy+3nXKAA4Dj+vGP1m1+6Ld+80p/28aNozNL+PojP32e9Q9WeJhqqo5jcmzAVjksS22BXTpXnNUHdC5grQMWUclsZk4/1ggQOOYoyVCUOqdR2pE5rkL4CVC1giJVE6GOa8Uk/YNCJNVnhTYoDo8RC45KyBDEzXFL1zLhNM793109M79VO7qtVvDPmgRknHg7pRSFtkvPXwAM7q6dOW/q3cuWzDpj5TkL/mTWjG70l2OMBEjX6sw6noqHW5a7PtCRoTBSddD7rbmM0Nxd8/KxI8w0vD1WM/JLyOer15ksBWXN1mHG9dRMeitP3M5HMQoGkeMxAbvOM0nLRDAB3w/gu0dRbDoNLe2L/6TYMveM2J1+9/49o7VCy2sD3MBrCOAAcPZZZ2D+vNnll3cd2PxC30Vf+PB7p33211f3RrHjII5jeFzAdbTnDmBMLk3lrTEpSc5OG75sbDzTnid2EzKpgxM7VX4GY1pcTrRRJmnZ2YYm0vVmHDOEIUcQcIhYoOALHInnRc/tXfjZsy9Y9oXa6L7NXVNnlk/rXXhi33+S26knSTntBw/9M+795gqx6sIb1t773e8VXM5XlIcHXJ/VABEnfDHNYqBSYJ4mTrVqIzhklGlgcsEIS8eWEiEz+xGpME/3NjX08evgmUglssfVkwZjKT6aj5sqUvbppnpZTzPj+yNZ5qRS5aiFPoqN7ejqvbA6Z9F7v3Tesjf/8ZS5q8WVq6851bDJbSdobk5u23d4CAVECME+/4tN21bdd/+/8v2Hy6s2bT/iuo4D12VwyYxzG+h2wCYb9Kmni2f1cAp0s48d9CEA5yb4DR3c+oxGOQtu0TCrj6l7g2jTRAdXtWHIVD+lq2udW/bTGZh6H+cxXCeZQR+FESpRT1gOWp44d+XquGvq7CfCmN1a8GI4Xvuphkrd9ppwMuu106YoienWO7/9Lzh3+bkt+w6N/F3V2XHdnlf28kqljOYGng9u5Dug9j5k/q+rn+S2cfiIk9+Y1EKyHyYzVS3VTVJfMaujC6l5JyoKWDIzRyoqnAVoKBbQ0jYthr/o3hilD40O7hj2Zyx7tb/18d2qU/0BJtKeeH47mhqLnVu27/n4j9c+s/To0JGrt23ZCs9zwBg3ooH0MW1Uscqx3pnoZQ49yVr2bI74ybLgOtkr37JrK5y14HKfacF11BLyPqV93LRGShAKiDhE7/QZKLU1P9DZc96Ghpbev47C8iG/adGphsK42+sK4LK9tHknmpubZ/7iF5u+/OJLm67+r///IvYfHERLg4NiwUkjddIuMQswIHw7D2x1AM4Tbprl9YSzcqu61QkCnNmgNfrXB7imXPQ8M0wvg2hSGJfPA98NUfAqYE47Gkpnoad33gOnT59/c6UysqOxdeap/ukn3F6XAAeAI/398Dx33osbt71p78GRjz/5zMaLtm/ZiNGRYXDuIoyAMJZWicFxNHAAaeVZDsDsWoBmLok9CGyn0nA4jxfgGV8hx88gAIdhuSlH1xO2peokwe04Aq6TeOpRzBAEHLUgQltbI+bNm43WjsWPVqPSX5emzHkhjsMt7e2lU/2TH1d7TXPwsVp7RwcAbBFCbAGwoVwNei5/y+I712/YOG/dz15wDg3UUK4BvsdSa6UBWr9lEmYnFK1UcuNxmA3Fj2EGdNR1651H/pzi3vJ6jPZLiHecrqzgQMBzkqVnRsouqmEBvTPPiXp6529pbTz64e4Zb9kLYDNjr1sbCOB1DHDZ0h9g88CR/s1hFK1uaij0XrDy3Hu/fe/a1nUv7G4KKsNo8jk8N7GecQzEsVARvUxFVWJZc//e2J8m/ZdhIrigIfe8vyE0kyDRR/n9QXJHhCr/AOh1NFmaFx4LIAoZeJT4KgW/hq4pDmps9kjHtMuGakF0TfuU6bs5d3a83oEt2xvjW6QtzXLjI0ePtq39Wd/KWhD/fd/GvnDPjr6O8uhASxRFGBqJUAticM7hOIDDmXZMbXoCysd1uWRTw85ONs6vJFufomSoieUzmBzaoihpqM7m6slE34SKOBwQIkYt5Dg66oIxjt6etuGFC6b3906f5UbCvZEVznyyqalxMBaIHf7GgcUb55uQ9vzmV+C6Lj/cP1S8+KpPVzc98le3bFj/3Pte2rQ12LR9YNFoOSiWR0dQ8BkKHk/5NdXDCVVRgLJywNNjkwVwg5PXATgDSCVaoZxlqM+SOo9p+SnGBAp+jIIXoaGhiEj4lf1HShunTJ3lrTjv3Lv3Pv+hv1h68V8VvEJrRcRRzP05p/qnm/T2hgQ4bS+/vBOO47Jnn12HgwPC8QuNXy+XKws29W2/cKD/gMNRRbUWYbRcQ8F3UPAdNf1KhrY5Q2rtuRERnAyAA8jKmDkAB7RT6ThI1yeFUkBikRzznAgODxHDRxy76Ch5mDatI+ronPW4XyhuHhwavWnHHhatWrUSYRiK03qmn+qf6KS2NzzA7Xbg0ACKhUL7/gOHPvcfP/yxf2DfrqgS+udUqtG5lZF+REEZjCXL5wVBskyH53L4HoPrJDSFLg/CoKmLmgGUWnuAWnuWLnTBLODqbbUQBlFWJFuQA45zAc8DCp6Ay2NEMVCtMVRrEQSAKe0NmD6tDdXAeWbfwfDZObN7nXPOu7jW3NrxB2FQO+IX20/1T/Cqtl86gNvtn77/EwC4KI5qlxd45ZqgVlk4Wi5j48Y+7D1UxuBwBUUvRmuTg8YGH67rIAxjhBGV3ZgR5JGUx8jhZoDjsESy5MRZBBT1cCxwOzyx1AAQhgxBlHBp3w3R1hSh1ALEaMChoSKm9c5FodCA5ubipuk9/r3FgvtDAfFoz6xLTvUtPqXtlx7gsg0MDADA6jAM5g4cORLfc9/343LYMntK55Tf37/3FXS2FxBUDmPgyAAODoSoVCL4ngvf5/A9Bw5PC+twBs914DgJj49igTBK9Gbf5Sikig4AhFGyYBOQLPjsOiJNbErAXSwIeI6AECFGK8D+wwJtpRIWzO1GqamK6dN7MDh45AsbNg1vv+Syq3mp1M4dx9kK4D9L7b9clrpe+xXA67Qdr+xHsVgo7dy196L1619EqcULpvc0faIWxJcdHohQrgZ4ct2zqJRH0NVeAOfA8EiEMAxQ9GN4XsJlKjWBwaMBIIDmRhetTRwtTYlVHzgKVKqJhfY9hs72AnzfxdDRxFHsao/R1tqE2fOWIYwc9A8JxII93FwIbm9prHmz5yxCa6nn0TCsDhSbuk/1LXtNtte9Dn6y2szTuwFgAMCDADA0uA8M2FitRd0jZRFXqzVseHEzarUqikUfnAscHqwFF6xcsYZj9J1xGASOw1CuCuw9FABCoNTqoa2ZY0prjBjAnoMa4MWC5/V0t/7rtr7n1jDue2CA70doamrGzNmLAe6hpwIuBNsPYPusGdNO9S16XbRfWfBJbE88+SQYY92jwwfaglpVOA5HpSaw+0AAAGhvTSz4lLYIQgC7DgC1GgAIFAo+mz1z2qAQYv85507O8h2/asB/A2dD8e0HFjvXAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjIwOjMyKzAwOjAwxZC4iQAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODoyMDozMiswMDowMLTNADUAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 58235221
    {'hecke_orbit_code': 54044638671013040, 'n': 1, 'trace_an': 16}
  • id: 58235222
    {'hecke_orbit_code': 54044638671013040, 'n': 2, 'trace_an': 0}
  • id: 58235223
    {'hecke_orbit_code': 54044638671013040, 'n': 3, 'trace_an': 0}
  • id: 58235224
    {'hecke_orbit_code': 54044638671013040, 'n': 4, 'trace_an': 0}
  • id: 58235225
    {'hecke_orbit_code': 54044638671013040, 'n': 5, 'trace_an': 0}
  • id: 58235226
    {'hecke_orbit_code': 54044638671013040, 'n': 6, 'trace_an': 0}
  • id: 58235227
    {'hecke_orbit_code': 54044638671013040, 'n': 7, 'trace_an': 0}
  • id: 58235228
    {'hecke_orbit_code': 54044638671013040, 'n': 8, 'trace_an': 0}
  • id: 58235229
    {'hecke_orbit_code': 54044638671013040, 'n': 9, 'trace_an': 0}
  • id: 58235230
    {'hecke_orbit_code': 54044638671013040, 'n': 10, 'trace_an': 0}
  • id: 58235231
    {'hecke_orbit_code': 54044638671013040, 'n': 11, 'trace_an': 0}
  • id: 58235232
    {'hecke_orbit_code': 54044638671013040, 'n': 12, 'trace_an': 0}
  • id: 58235233
    {'hecke_orbit_code': 54044638671013040, 'n': 13, 'trace_an': 0}
  • id: 58235234
    {'hecke_orbit_code': 54044638671013040, 'n': 14, 'trace_an': 0}
  • id: 58235235
    {'hecke_orbit_code': 54044638671013040, 'n': 15, 'trace_an': 0}
  • id: 58235236
    {'hecke_orbit_code': 54044638671013040, 'n': 16, 'trace_an': 0}
  • id: 58235237
    {'hecke_orbit_code': 54044638671013040, 'n': 17, 'trace_an': 0}
  • id: 58235238
    {'hecke_orbit_code': 54044638671013040, 'n': 18, 'trace_an': 0}
  • id: 58235239
    {'hecke_orbit_code': 54044638671013040, 'n': 19, 'trace_an': 0}
  • id: 58235240
    {'hecke_orbit_code': 54044638671013040, 'n': 20, 'trace_an': 0}
  • id: 58235241
    {'hecke_orbit_code': 54044638671013040, 'n': 21, 'trace_an': 16}
  • id: 58235242
    {'hecke_orbit_code': 54044638671013040, 'n': 22, 'trace_an': 0}
  • id: 58235243
    {'hecke_orbit_code': 54044638671013040, 'n': 23, 'trace_an': 0}
  • id: 58235244
    {'hecke_orbit_code': 54044638671013040, 'n': 24, 'trace_an': 0}
  • id: 58235245
    {'hecke_orbit_code': 54044638671013040, 'n': 25, 'trace_an': 0}
  • id: 58235246
    {'hecke_orbit_code': 54044638671013040, 'n': 26, 'trace_an': 0}
  • id: 58235247
    {'hecke_orbit_code': 54044638671013040, 'n': 27, 'trace_an': 0}
  • id: 58235248
    {'hecke_orbit_code': 54044638671013040, 'n': 28, 'trace_an': 0}
  • id: 58235249
    {'hecke_orbit_code': 54044638671013040, 'n': 29, 'trace_an': 0}
  • id: 58235250
    {'hecke_orbit_code': 54044638671013040, 'n': 30, 'trace_an': 0}
  • id: 58235251
    {'hecke_orbit_code': 54044638671013040, 'n': 31, 'trace_an': 40}
  • id: 58235252
    {'hecke_orbit_code': 54044638671013040, 'n': 32, 'trace_an': 0}
  • id: 58235253
    {'hecke_orbit_code': 54044638671013040, 'n': 33, 'trace_an': 0}
  • id: 58235254
    {'hecke_orbit_code': 54044638671013040, 'n': 34, 'trace_an': 0}
  • id: 58235255
    {'hecke_orbit_code': 54044638671013040, 'n': 35, 'trace_an': 0}
  • id: 58235256
    {'hecke_orbit_code': 54044638671013040, 'n': 36, 'trace_an': 0}
  • id: 58235257
    {'hecke_orbit_code': 54044638671013040, 'n': 37, 'trace_an': 0}
  • id: 58235258
    {'hecke_orbit_code': 54044638671013040, 'n': 38, 'trace_an': 0}
  • id: 58235259
    {'hecke_orbit_code': 54044638671013040, 'n': 39, 'trace_an': 0}
  • id: 58235260
    {'hecke_orbit_code': 54044638671013040, 'n': 40, 'trace_an': 0}
  • id: 58235261
    {'hecke_orbit_code': 54044638671013040, 'n': 41, 'trace_an': 0}
  • id: 58235262
    {'hecke_orbit_code': 54044638671013040, 'n': 42, 'trace_an': 0}
  • id: 58235263
    {'hecke_orbit_code': 54044638671013040, 'n': 43, 'trace_an': 0}
  • id: 58235264
    {'hecke_orbit_code': 54044638671013040, 'n': 44, 'trace_an': 0}
  • id: 58235265
    {'hecke_orbit_code': 54044638671013040, 'n': 45, 'trace_an': 0}
  • id: 58235266
    {'hecke_orbit_code': 54044638671013040, 'n': 46, 'trace_an': 0}
  • id: 58235267
    {'hecke_orbit_code': 54044638671013040, 'n': 47, 'trace_an': 0}
  • id: 58235268
    {'hecke_orbit_code': 54044638671013040, 'n': 48, 'trace_an': 0}
  • id: 58235269
    {'hecke_orbit_code': 54044638671013040, 'n': 49, 'trace_an': 0}
  • id: 58235270
    {'hecke_orbit_code': 54044638671013040, 'n': 50, 'trace_an': 0}
  • id: 58235271
    {'hecke_orbit_code': 54044638671013040, 'n': 51, 'trace_an': 52}
  • id: 58235272
    {'hecke_orbit_code': 54044638671013040, 'n': 52, 'trace_an': 0}
  • id: 58235273
    {'hecke_orbit_code': 54044638671013040, 'n': 53, 'trace_an': 0}
  • id: 58235274
    {'hecke_orbit_code': 54044638671013040, 'n': 54, 'trace_an': 0}
  • id: 58235275
    {'hecke_orbit_code': 54044638671013040, 'n': 55, 'trace_an': 0}
  • id: 58235276
    {'hecke_orbit_code': 54044638671013040, 'n': 56, 'trace_an': 0}
  • id: 58235277
    {'hecke_orbit_code': 54044638671013040, 'n': 57, 'trace_an': 0}
  • id: 58235278
    {'hecke_orbit_code': 54044638671013040, 'n': 58, 'trace_an': 0}
  • id: 58235279
    {'hecke_orbit_code': 54044638671013040, 'n': 59, 'trace_an': 0}
  • id: 58235280
    {'hecke_orbit_code': 54044638671013040, 'n': 60, 'trace_an': 0}
  • id: 58235281
    {'hecke_orbit_code': 54044638671013040, 'n': 61, 'trace_an': -24}
  • id: 58235282
    {'hecke_orbit_code': 54044638671013040, 'n': 62, 'trace_an': 0}
  • id: 58235283
    {'hecke_orbit_code': 54044638671013040, 'n': 63, 'trace_an': 0}
  • id: 58235284
    {'hecke_orbit_code': 54044638671013040, 'n': 64, 'trace_an': 0}
  • id: 58235285
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  • id: 58235286
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  • id: 58235287
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  • id: 58235288
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  • id: 58235289
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  • id: 58235290
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  • id: 58235291
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  • id: 58235292
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  • id: 58235293
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  • id: 58235294
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  • id: 58235295
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  • id: 58235296
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  • id: 58235297
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  • id: 58235298
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  • id: 58235299
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  • id: 58235300
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  • id: 58235301
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  • id: 58235302
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  • id: 58235303
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  • id: 58235304
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  • id: 58235305
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  • id: 58235307
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  • id: 58235308
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  • id: 58235309
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  • id: 58235310
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  • id: 58235311
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  • id: 58235312
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  • id: 58235313
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  • id: 58235314
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  • id: 58235315
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  • id: 58235316
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  • id: 58235317
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  • id: 58235318
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  • id: 58235319
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  • id: 58235320
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  • id: 58235321
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  • id: 58235322
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  • id: 58235323
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  • id: 58235324
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  • id: 58235325
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  • id: 58235326
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  • id: 58235327
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  • id: 58235328
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  • id: 58235329
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  • id: 58235330
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  • id: 58235331
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  • id: 58235332
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  • id: 58235333
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  • id: 58235334
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  • id: 58235335
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  • id: 58235336
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  • id: 58235337
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  • id: 58235338
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  • id: 58235339
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  • id: 58235340
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  • id: 58235341
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  • id: 58235342
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  • id: 58235343
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  • id: 58235344
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  • id: 58235346
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  • id: 58235347
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  • id: 58235348
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  • id: 58235349
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  • id: 58235350
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  • id: 58235351
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  • id: 58235352
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  • id: 58235353
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  • id: 58235354
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  • id: 58235355
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  • id: 58235356
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  • id: 58235358
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  • id: 58235359
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  • id: 58235360
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  • id: 58235361
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  • id: 58235362
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  • id: 58235363
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  • id: 58235364
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  • id: 58235365
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  • id: 58235366
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  • id: 58235367
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  • id: 58235368
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  • id: 58235369
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  • id: 58235370
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  • id: 58235371
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  • id: 58235372
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  • id: 58235373
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  • id: 58235374
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  • id: 58235375
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  • id: 58235376
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  • id: 58235377
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  • id: 58235378
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  • id: 58235379
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  • id: 58235380
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  • id: 58235381
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  • id: 58235382
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  • id: 58235383
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  • id: 58235384
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  • id: 58235385
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  • id: 58235386
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  • id: 58235387
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  • id: 58235388
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  • id: 58235389
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  • id: 58235390
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  • id: 58235391
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  • id: 58235392
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  • id: 58235393
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  • id: 58235394
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  • id: 58235395
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  • id: 58235396
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  • id: 58235397
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  • id: 58235398
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  • id: 58235399
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  • id: 58235400
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  • id: 58235401
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  • id: 58235402
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  • id: 58235403
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  • id: 58235404
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  • id: 58235405
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  • id: 58235406
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  • id: 58235407
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  • id: 58235408
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  • id: 58235409
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  • id: 58235410
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  • id: 58235411
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  • id: 58235412
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  • id: 58235413
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  • id: 58235414
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  • id: 58235415
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  • id: 58235416
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  • id: 58235417
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  • id: 58235418
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  • id: 58235419
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  • id: 58235420
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  • id: 58235421
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  • id: 58235422
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  • id: 58235423
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  • id: 58235424
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  • id: 58235425
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  • id: 58235426
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  • id: 58235427
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  • id: 58235428
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  • id: 58235429
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  • id: 58235430
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  • id: 58235431
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  • id: 58235432
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  • id: 58235433
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  • id: 58235434
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  • id: 58235435
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  • id: 58235436
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  • id: 58235437
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  • id: 58235438
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  • id: 58235439
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  • id: 58235440
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  • id: 58235441
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  • id: 58235442
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  • id: 58235443
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  • id: 58235444
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  • id: 58235445
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  • id: 58235446
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  • id: 58235447
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  • id: 58235448
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  • id: 58235449
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  • id: 58235450
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  • id: 58235451
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  • id: 58235452
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  • id: 58235453
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  • id: 58235454
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  • id: 58235455
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  • id: 58235456
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  • id: 58235457
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  • id: 58235458
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  • id: 58235459
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  • id: 58235460
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  • id: 58235461
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  • id: 58235462
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  • id: 58235463
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  • id: 58235464
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  • id: 58235465
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  • id: 58235466
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  • id: 58235467
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  • id: 58235468
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  • id: 58235469
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  • id: 58235470
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  • id: 58235471
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  • id: 58235472
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  • id: 58235473
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  • id: 58235474
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  • id: 58235475
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  • id: 58235476
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  • id: 58235477
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  • id: 58235478
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