Newform data - 476.3.x.a

Formats: - HTML - YAML - JSON - 2026-02-23T03:55:36.697472

• 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': 4284, 'analytic_conductor': 12.970060583550133, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 119, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 8, 'char_parity': -1, 'char_values': [476, 8, [239, 409, 309], [8, 4, 3]], 'cm_discs': [], 'conrey_index': 321, 'dim': 96, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1580598297052, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, 0], [1, 1, 17, 4, 1, 8, 0], [1, 1, 119, 12, -1, 8, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '476.3.x.a', 'level': 476, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 17], 'level_radical': 238, 'minimal_twist': '476.3.x.a', 'prim_orbit_index': 12, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '2.2.3.c8', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '476.3.x', 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 72, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -256, 0, -88, 0, 0, 0, -32, 0, 0, 0, 0, 0, -20, 0, -120, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 492, 0, -104, 0, -144, 0, 0, 0, -64, 0, 0, 0, 0, 0, 84, 0, -256, 0, 0, 0, 0, 0, 824, 0, 0, 0, 0, 0, -368, 0, -264, 0, 104, 0, 0, 0, 560, 0, 0, 0, 0, 0, 420, 0, 752, 0, 448, 0, 0, 0, -632, 0, 0, 0, 0, 0, 192, 0, -432, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, -388, 0, -1904, 0, -912, 0, 0, 0, -576, 0, 0, 0, 0, 0, 1484, 0, 0, 0, 224, 0, 0, 0, 624, 0, 0, 0, 0, 0, 380, 0, 720, 0, 800, 0, 0, 0, 2160, 0, 0, 0, 0, 0, -1588, 0, -136, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1472, 0, 0, 0, -976, 0, 0, 0, -1664, 0, 0, 0, 0, 0, 1600, 0, 2208, 0, -1368, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, -2376, 0, -608, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1708, 0, -3008, 0, -800, 0, 0, 0, 1808, 0, 0, 0, 0, 0, -204, 0, 1632, 0, -592, 0, 0, 0, 888, 0, 0, 0, 0, 0, 0, 0, 5312, 0, 2240, 0, 0, 0, 320, 0, 0, 0, 0, 0, -624, 0, -528, 0, 1832, 0, 0, 0, -3744, 0, 0, 0, 0, 0, 1852, 0, -224, 0, 2512, 0, 0, 0, -2576, 0, 0, 0, 0, 0, 1372, 0, 1304, 0, 320, 0, 0, 0, 1088, 0, 0, 0, 0, 0, -2228, 0, 136, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -688, 0, 2048, 0, 2576, 0, 0, 0, -424, 0, 0, 0, 0, 0, 3696, 0, 2440, 0, 3144, 0, 0, 0, -1448, 0, 0, 0, 0, 0, 944, 0, -2296, 0, 0, 0, 0, 0, -1592, 0, 0, 0, 0, 0, -2764, 0, -5376, 0, -4784, 0, 0, 0, -1288, 0, 0, 0, 0, 0, 780, 0, 0, 0, -3848, 0, 0, 0, 3264, 0, 0, 0, 0, 0, -1864, 0, 2088, 0, -1120, 0, 0, 0, 4528, 0, 0, 0, 0, 0, -4084, 0, -792, 0, -1688, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, -2680, 0, 0, 0, -3624, 0, 0, 0, 0, 0, 1888, 0, 2336, 0, -1624, 0, 0, 0, 984, 0, 0, 0, 0, 0, 0, 0, -1560, 0, 3480, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5320, 0, 680, 0, 2792, 0, 0, 0, -1344, 0, 0, 0, 0, 0, -3980, 0, 9920, 0, -1240, 0, 0, 0, 2680, 0, 0, 0, 0, 0, 0, 0, 7416, 0, -6256, 0, 0, 0, 2232, 0, 0, 0, 0, 0, 1952, 0, -1488, 0, 7080, 0, 0, 0, -5000, 0, 0, 0, 0, 0, 5724, 0, -7808, 0, 4616, 0, 0, 0, -4912, 0, 0, 0, 0, 0, 2004, 0, -2816, 0, -3584, 0, 0, 0, 624, 0, 0, 0, 0, 0, -2252, 0, 1512, 0, 0, 0, 0, 0, 4040, 0, 0, 0, 0, 0, 4656, 0, 3072, 0, 6752, 0, 0, 0, -2712, 0, 0, 0, 0, 0, 4684, 0, 2040, 0, 8688, 0, 0, 0, 4320, 0, 0, 0, 0, 0, 2952, 0, -9096, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 1996, 0, -7008, 0, -2080, 0, 0, 0, -4408, 0, 0, 0, 0, 0, -416, 0, 0, 0, -4640, 0, 0, 0, -104, 0, 0, 0, 0, 0, 264, 0, -2312, 0, 1632, 0, 0, 0, 5856, 0, 0, 0, 0, 0, -8748, 0, -8440, 0, -680, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6096, 0, 0, 0, -15264, 0, 0, 0, 104, 0, 0, 0, 0, 0, 2096, 0, 2400, 0, -12936, 0, 0, 0, 8848, 0, 0, 0, 0, 0, 0, 0, -4800, 0, -1048, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1952, 0, -6496, 0, -360, 0, 0, 0, -7360, 0, 0, 0, 0, 0, -7352, 0, 11104, 0, -6080, 0, 0, 0, -2592, 0, 0, 0, 0, 0, 0, 0, 16568, 0, -5952, 0, 0, 0, 6520, 0, 0, 0, 0, 0, 7928, 0, 3400, 0, 17528, 0, 0, 0, -1296, 0, 0, 0, 0, 0, 3052, 0, -1344, 0, 18816, 0, 0, 0, -4952, 0, 0, 0, 0, 0, -172, 0, -1616, 0, 6368, 0, 0, 0, 968, 0, 0, 0, 0, 0, 3380, 0, -2176, 0, 0, 0, 0, 0, -2504, 0, 0, 0, 0, 0, 9116, 0, 2208, 0, 9720, 0, 0, 0, -4416, 0, 0, 0, 0, 0, 13000, 0, -7816, 0, 10968, 0, 0, 0, -3064, 0, 0, 0, 0, 0, 124, 0, -14096, 0, 0, 0, 0, 0, 8392, 0, 0, 0, 0, 0, -3016, 0, -10912, 0, -11760, 0, 0, 0, 5472, 0, 0, 0, 0, 0, 4548, 0, 0, 0, -11752, 0, 0, 0, 7408, 0, 0, 0, 0, 0, -2128, 0, 1192, 0, -2728, 0, 0, 0, 12720, 0, 0, 0, 0, 0, -6700, 0, -11224, 0, -10408, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7200, 0, 0, 0, -17208, 0, 0, 0, 3216, 0, 0, 0, 0, 0, -2424, 0, 14224, 0, -9464, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, 11320, 0, 8440, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16136, 0, -3520, 0, 4760, 0, 0, 0, -6480, 0, 0, 0, 0, 0, -9216, 0, 4944, 0, -9400, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 18712, 0, -4048, 0, 0, 0, 2432, 0, 0, 0, 0, 0, 6560, 0, 12040, 0, 8456, 0, 0, 0, -10912, 0, 0, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• label 476.3.x.a does not appear in mf_hecke_nf
• 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': 4284, 'analytic_conductor': 12.970060583550133, 'char_conductor': 119, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 8, 'char_parity': -1, 'char_values': [476, 8, [239, 409, 309], [8, 4, 3]], 'conrey_index': 321, 'cusp_dim': 552, 'dim': 96, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_orbit_code': 1580598297052, 'hecke_orbit_dims': [96], 'label': '476.3.x', 'level': 476, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 17], 'level_radical': 238, 'mf_dim': 600, 'mf_new_dim': 96, 'num_forms': 1, 'prim_orbit_index': 12, 'relative_dim': 24, 'sturm_bound': 216, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 72, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -256, 0, -88, 0, 0, 0, -32, 0, 0, 0, 0, 0, -20, 0, -120, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 492, 0, -104, 0, -144, 0, 0, 0, -64, 0, 0, 0, 0, 0, 84, 0, -256, 0, 0, 0, 0, 0, 824, 0, 0, 0, 0, 0, -368, 0, -264, 0, 104, 0, 0, 0, 560, 0, 0, 0, 0, 0, 420, 0, 752, 0, 448, 0, 0, 0, -632, 0, 0, 0, 0, 0, 192, 0, -432, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, -388, 0, -1904, 0, -912, 0, 0, 0, -576, 0, 0, 0, 0, 0, 1484, 0, 0, 0, 224, 0, 0, 0, 624, 0, 0, 0, 0, 0, 380, 0, 720, 0, 800, 0, 0, 0, 2160, 0, 0, 0, 0, 0, -1588, 0, -136, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1472, 0, 0, 0, -976, 0, 0, 0, -1664, 0, 0, 0, 0, 0, 1600, 0, 2208, 0, -1368, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, -2376, 0, -608, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1708, 0, -3008, 0, -800, 0, 0, 0, 1808, 0, 0, 0, 0, 0, -204, 0, 1632, 0, -592, 0, 0, 0, 888, 0, 0, 0, 0, 0, 0, 0, 5312, 0, 2240, 0, 0, 0, 320, 0, 0, 0, 0, 0, -624, 0, -528, 0, 1832, 0, 0, 0, -3744, 0, 0, 0, 0, 0, 1852, 0, -224, 0, 2512, 0, 0, 0, -2576, 0, 0, 0, 0, 0, 1372, 0, 1304, 0, 320, 0, 0, 0, 1088, 0, 0, 0, 0, 0, -2228, 0, 136, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -688, 0, 2048, 0, 2576, 0, 0, 0, -424, 0, 0, 0, 0, 0, 3696, 0, 2440, 0, 3144, 0, 0, 0, -1448, 0, 0, 0, 0, 0, 944, 0, -2296, 0, 0, 0, 0, 0, -1592, 0, 0, 0, 0, 0, -2764, 0, -5376, 0, -4784, 0, 0, 0, -1288, 0, 0, 0, 0, 0, 780, 0, 0, 0, -3848, 0, 0, 0, 3264, 0, 0, 0, 0, 0, -1864, 0, 2088, 0, -1120, 0, 0, 0, 4528, 0, 0, 0, 0, 0, -4084, 0, -792, 0, -1688, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, -2680, 0, 0, 0, -3624, 0, 0, 0, 0, 0, 1888, 0, 2336, 0, -1624, 0, 0, 0, 984, 0, 0, 0, 0, 0, 0, 0, -1560, 0, 3480, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5320, 0, 680, 0, 2792, 0, 0, 0, -1344, 0, 0, 0, 0, 0, -3980, 0, 9920, 0, -1240, 0, 0, 0, 2680, 0, 0, 0, 0, 0, 0, 0, 7416, 0, -6256, 0, 0, 0, 2232, 0, 0, 0, 0, 0, 1952, 0, -1488, 0, 7080, 0, 0, 0, -5000, 0, 0, 0, 0, 0, 5724, 0, -7808, 0, 4616, 0, 0, 0, -4912, 0, 0, 0, 0, 0, 2004, 0, -2816, 0, -3584, 0, 0, 0, 624, 0, 0, 0, 0, 0, -2252, 0, 1512, 0, 0, 0, 0, 0, 4040, 0, 0, 0, 0, 0, 4656, 0, 3072, 0, 6752, 0, 0, 0, -2712, 0, 0, 0, 0, 0, 4684, 0, 2040, 0, 8688, 0, 0, 0, 4320, 0, 0, 0, 0, 0, 2952, 0, -9096, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 1996, 0, -7008, 0, -2080, 0, 0, 0, -4408, 0, 0, 0, 0, 0, -416, 0, 0, 0, -4640, 0, 0, 0, -104, 0, 0, 0, 0, 0, 264, 0, -2312, 0, 1632, 0, 0, 0, 5856, 0, 0, 0, 0, 0, -8748, 0, -8440, 0, -680, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6096, 0, 0, 0, -15264, 0, 0, 0, 104, 0, 0, 0, 0, 0, 2096, 0, 2400, 0, -12936, 0, 0, 0, 8848, 0, 0, 0, 0, 0, 0, 0, -4800, 0, -1048, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1952, 0, -6496, 0, -360, 0, 0, 0, -7360, 0, 0, 0, 0, 0, -7352, 0, 11104, 0, -6080, 0, 0, 0, -2592, 0, 0, 0, 0, 0, 0, 0, 16568, 0, -5952, 0, 0, 0, 6520, 0, 0, 0, 0, 0, 7928, 0, 3400, 0, 17528, 0, 0, 0, -1296, 0, 0, 0, 0, 0, 3052, 0, -1344, 0, 18816, 0, 0, 0, -4952, 0, 0, 0, 0, 0, -172, 0, -1616, 0, 6368, 0, 0, 0, 968, 0, 0, 0, 0, 0, 3380, 0, -2176, 0, 0, 0, 0, 0, -2504, 0, 0, 0, 0, 0, 9116, 0, 2208, 0, 9720, 0, 0, 0, -4416, 0, 0, 0, 0, 0, 13000, 0, -7816, 0, 10968, 0, 0, 0, -3064, 0, 0, 0, 0, 0, 124, 0, -14096, 0, 0, 0, 0, 0, 8392, 0, 0, 0, 0, 0, -3016, 0, -10912, 0, -11760, 0, 0, 0, 5472, 0, 0, 0, 0, 0, 4548, 0, 0, 0, -11752, 0, 0, 0, 7408, 0, 0, 0, 0, 0, -2128, 0, 1192, 0, -2728, 0, 0, 0, 12720, 0, 0, 0, 0, 0, -6700, 0, -11224, 0, -10408, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7200, 0, 0, 0, -17208, 0, 0, 0, 3216, 0, 0, 0, 0, 0, -2424, 0, 14224, 0, -9464, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, 11320, 0, 8440, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16136, 0, -3520, 0, 4760, 0, 0, 0, -6480, 0, 0, 0, 0, 0, -9216, 0, 4944, 0, -9400, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 18712, 0, -4048, 0, 0, 0, 2432, 0, 0, 0, 0, 0, 6560, 0, 12040, 0, 8456, 0, 0, 0, -10912, 0, 0, 0, 0, 0], 'weight': 3, '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: 343115
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 24, 'source_dim': 96, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '476.3.x.a', 'source_level': 476, 'target_char_orbit': 24, 'target_dim': 96, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '476.3.x.a', 'target_level': 476, 'twist_class_label': '476.3.x.a', 'twist_class_level': 476, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 3}
  • id: 343116
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 96, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '476.3.x.a', 'source_level': 476, 'target_char_orbit': 24, 'target_dim': 96, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '476.3.x.a', 'target_level': 476, 'twist_class_label': '476.3.x.a', 'twist_class_level': 476, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 343117
    {'conductor': 17, 'degree': 4, 'multiplicity': 1, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 96, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '476.3.x.a', 'source_level': 476, 'target_char_orbit': 24, 'target_dim': 96, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '476.3.x.a', 'target_level': 476, 'twist_class_label': '476.3.x.a', 'twist_class_level': 476, 'twisting_char_label': '17.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 343118
    {'conductor': 119, 'degree': 4, 'multiplicity': 1, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 96, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '476.3.x.a', 'source_level': 476, 'target_char_orbit': 24, 'target_dim': 96, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '476.3.x.a', 'target_level': 476, 'twist_class_label': '476.3.x.a', 'twist_class_level': 476, 'twisting_char_label': '119.l', 'twisting_char_orbit': 12, 'weight': 3}
• hecke_orbit_code 1580598297052 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 24, 'hecke_orbit': 1, 'label': '476.3.x.a', 'level': 476, 'portrait': 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8YYXxliLYjTgMWOZDDyCTyBMJq5Kc26yZSlTkhnIBgmPst9wcZJzWJbc/ycouYHbJyBrXMRG2aHrJ8dsXF2xNYNhos2Kq7Y5lNXTY4cn+DeJwMe3p/w+LGYVHX5the3efMLDXU1y/5jUxw57XHqfMpZB+6DC4Ybrprnl96+zLZ1k5w+P8X55RqLbZ+ltmS5m9LtpfSGgv1HFzhwon3FYwfOv+TIyXM7jp4+//mbvuUt0V23fuTZhsTXdft7zeBLy22iyKAU7/zqI4df+Au/9VH51hceeOG/e/Mpb355A0vtCRbbDRbbAYttj8U2LLVTltoxiyspZ1fg0KJgbt0K//n7FrnxsgYnzs1w+nyT0wse5xYNZxcSTs6nnO8mTM0MedE1PV5wOQSyTqhCzi3VOLPgcXZJ0B9BkmhqgaZZS5meTNDAsbMJnR5s3+DTrI8wRoAI6A00F20csbjigbFSZKUHowQMhqV2xJb1Pt2BQiiD0CMmaj4XbRqy0hccO+2Rao/ZCUmrJgh9SBJBfyQ5uyQ5s2g4t5wQhkPwE266sscLrxLMTdRZXJ7gxLmQ0wtwbiHh3FLCqSU4tGh43pUL/Mr3LbNxaoLjZ2c4u1hnfjlgoS1ZWklZ7sQsd1KWupqFruREB1aWOvzmv4uSf/rq2t3Buh/TQeOKuyX6F1J8wtrEsw2VC97+3jL4+//0o7zwpuv56Z/+6V/94Ee//O/e+xdfvGTPsfaOg6f78kVX97h4c0qqPYxRGGPZGyMBCQiEMHjCEEg4vVjn/oOSa3Ytcfm2IY0a+J4k8BVB4NGsSxq+pN/z2Xe0xhceDjh2fkQnidl3YsSG2SXe8KJlrrmky/Mub3N0IWGhL2iEQw6fNrQ7Ta6+WLIyTNlzVNFqeDx1DC7dbBhGKcM0wPNipluw90SI8lJ8meD5MBhJbry8z6AvueaSlM4g5djpFjs3KpqNiJWRYf1Un+Vehw9/GR49kvL4kSHbNy9y7e4O0zMRr7+py3e+1LBrY4s0nuLIqUkOnfQ5cVZz8nzMyfMph84Ljq/EPOeyef7z93XZMDXFibMznFtsML8SsNiWLLdT2t2YlV7Kcs+w1BOc6yuWOwk3XL7AO954XtY9seP82WM7B4Pk+eHExfV6Y/qLD9/7N/z+e//i2YbMmre/lwz+oQ99jOdcsUV95b6D//HI8bO/+NATR9XZpYjFoeJ033DN9nP85o/Pc92uBucWp1lsN1hq11hq+yx1PJa7sNxOWe4kLHUTFtpwYlng1YfcfNUS3/XSiJ3rm6z0Jji/VGd+KWChLVhqW4mw3NV0BprOyNAfJsxOxFy0QQOC0DecPO8jZMj29Yqdmw2b1/c5tzzisQMtnnupoVFf5smDM7SaEVHkMzutGQzhiouGfPDLU+zeljAaGdZNSuJ0QKsW8tTRIXW/yXWXJTx+OOLcYsCW2ZCdm+CijRFKxZxcgMA3CGHYviFhuiXpDkJ6fZ9O32epo1hagcW2ZqmdstBOOduGxWHKRVt6fNfLFrj5co+aP8GZhQkWlmssrHgsdQTLbc1KN2a5m7LSMyz24GxXcW4l4cbdZ3n3jy9y6ZYmi+0Jljs1esMJVO3SNKhv/NWBvPhXAn06fcnLv/3Zhs6q298rgO/bv596rVY/derkRY88+tTbjhw79V/3HTjJIJb0hrAysIxyupvwvIvP8hs/vsS1F9c5vzzN4kqD5U6NpY7PcsdjuQPtrmalm7DcTVjqGM61Bad7BkSPN7+4zetv1Fy8qUYUNVhu11jpBbS7iuWeoNsXDEeGKDGkKShpCH2oh4apCcP6mRjPH3LoTMQTB0N00uS1z4/w/BUe2jPJjk3wufsTXnx1yPn2gJqnSNKYmWlIYh/PT1hcbPCi6zt87p4WOzfBgwdG+DR4zY2aRAx44lDKkZM1PBmwYdpjuimoh4IgECgBiYYoNgwj6PYNKz1Nt69Z6WsWe4ZBmrJ9a5/Xv6DNm18YgW6xuDLJ+aW61dsdj+U2rHRT2r2EFQfupT6c6SjmOynPu+wc7/7x81y5vc788hQr3QbtXkin59PuCoLGVmrNDf9h09Yr/mrr1i3Hh8Ph4NJLL3u2oZTf/t4A/NiRg8zNzQUHDh78gf0HDrznwYceFYtLPTkcaXpDTXdo6A5gZSA5P5Cc6cbceMl53vUji1x/SY2FlSkWV5osd0JWugHLXY+VrqDdNbR7KSvdhHZPs9wznO8KzrQ101N9vuV5XW66PGH7BsVE3afTrRH6ElBEiURrgTbQHwJCM90acuCUQZuI2x5sMurXuWRLwM3X9In1Cnc8PMV1l/ocONujvTzBC67p88WHQjbMGPYcM/zLN3XYczRkw4zkCw8rbr5CsdTvcPjEDNddFnHHEwOSUYObrgzYtW3IIOlx60MKUsGhkx4TDQ9PQH8g0UaQakOcAFLjBZp2z9BsxWzbNOKFV/T5lucmzDZrnFuaZHGlznLHnpvljqDdg3Y3od1LaPdS2n3DUl9ytitY6CY8f/c8v/oj81y7s8b8yiQr3QadXkin79Pte3T7iu5AEKc1vevSa8yOi3e9Y+fFl/zx4sJ8dPnuvx8g/3sB8CSJZTQavOHBe2+5pNtL3v3Agw/5gxEMI8NgmNIfpvSGmt7Q0B0I2gPB+YHkdDvhpivO884fmee5uwJWOpPML7do92qsdANWeh7trqLdh27P0OkndHopvYGm3TfM9wTzPYjTEddeOmDjTEqvb3jdC0bs2KhJUoknDVEMtz9W4/j5GpumE548VAPd4PKtiut3a8Jan4cO9JlfaHLVjiYTU8vc87jPDZfWWOyvsLw8wcaNhvv3KP7ZK3o8sMdj63qfhV6b5aUZrr+izz1PpszUp7jqkh7n223uf3qKutfkebsNl100BNnjsSOC9TMx5+Zj7njMZxgrpIRUG3ZsiviWF0R0e4rN05rrL4UoarDUbrDUDlnp+XT6inZP0ulBp5/S6aV0+ymdvmalb1gaSE51BO3BiJsvm+dXfniZ511qL452t06nH9Lt+3QHHp2+ojeU9AeCbj+lP0h4zvXPi7Xxfvat3/mGg81G/dO+7+tnG1vPeiZzNOoTx4PvO3Hkwd+cP7N/5uz5ZZp1m6YWwoD9n7tZC1AIg5QGKT0e2L+BX3ifx5tuXuK7X7HEzi0RZxcnCIM69TCgEfo06x7duqQ18JlsevaCGaRsGGkGI0N3GLI0X+PkCUOUaE6dTQhDAwgCZfCkoD9QCHySvsdzdgh2bTZctKXPKO1yywOKvQenefVzQ66/YpkP3GIIRIMdW/o8fo9iy5Ri3USfmqoTxT7nu9CseWzdIHh0b8T1l9V56XUL/MlnBgR+i1c93+CHfb50f8Tn7mvy9JE6F29usGNTytx0xM51MVfvSFFK4ykDGBphyNxUSBT7dPsBTx7wbYnCwAKxN4De0NDr28/eHaT0BobOwLAygPm+4tyyoTHZ5idfO8+33zzi2oubnFmYoN2r0c3BregNFP2hZDAUDEaWAKIE7rzrAX9iYvY316/fuPSyl9z4bzu9/p9MNBvPKr6eVYDHUQ8EP3z66D3vPLz3SzOjQY96GGCcE2IQgAJhlxohQArbSaOkQcmUQEoePzDHI/ubHDh9nje9sMcLrxwy1Zpgqd2g2akxMQjo9T375Qwlg6FHf+QxHBmGkSaKDXFsSFJ7REmA0SCVwPcEtUAw1RJMt2DjOs3WDX3WTbf5/ENw5yM+Uk/y6uf6POfyLnc9HRMNJ7j5OYL2YMD5xSY3XaZZN9Wn7oUME8V8J0ZpwXMu82i0Rjy8r8ZLrp/kBdd2eXifAjPJc68M+KFvW+KLj0Z84YEme47XuGhOsXGmznSrwWQL6iH4nkFJ0Ab2HBGkqSBOBFECoxj7GUcpg5FmONL0h5r+SNMbQGcE8z3J+S6M9JBXXrfEG17Y5p++SpMkE5xdaNLp1egOAnoDn95A0R0o+kNB34F7MNQMRimjSDMYac4vnub0X90y0xsm/+3bX/9Sr9Ptv2+i9eyB/FkDeDRaRIj0h+ZP3vHOc0e/uF6aHs1GiBzZVU0ACIlAIIRCCIGUOHCDUgZPGXylqfuChX6dD315K196pMOLr17h7a9c4eqdPWanGiyuNOgOQvoD3wFb2SMSjGJJnAiSxC71xi0XSho8D2oBNOqamVbMlvV9EnocOBXz4TtqHD7RZCqsc8OVHjdd0+H+/W1uu3eC519a46JNfT74ZYESIROtmJXeCG1ACZib6NPpBuikzhtefJ4Pfa7BrnM1Xv/8PlG8yB1PzBKnNW68cj2vv6HDpdvafOnhPo+faPDYkYCtM5KZCUEjFAS+vQilACEM2oDWhjhxF2tsGMX2Qh5GMIigOxQsjwRLXRDekOt2r/D2b1nhxVemzE7UWe40aHfrdPshvaFPb1CsBP2RZDCEvrtwhsOUQaQZjgyjCBKjOH2uzZ986AvrByPe+R3f9iJz5tzSH23aMPN/B8DN8n9hYfkyRgsf+/5oNHh359zT6zy6NGohQiSOtz2EsCgXQiKEQAiJkh5Spigl3PKs8ZUh9Ax1T7A8VCy2p/nI7U3ue7LHzdeu8PZXrXDdrjazaZ0kCekPa/QGPoORRxQr4kSSpJJUC7QRNgsqDGGgadQSwiAi8EecWhzxmQclB08GHDk5jdIhuzYFXLFT8dzLO6hwnicOtdgy1eCqi2Hj3DJLnQmu3iJJtOHzD4SM+pKpZsJrbhzy6Ttijp9tsfsSnzMrQ5467LNtwzTX7pznrse73POUYBQFXL5zhsu3hVy+tcuhM0scPAUP7G1w4HCThicIPUkzNNR8kNISgzH2Yk1SKx2iVNAbCTpDQSeGSCdoM+R5l3Z4+7d0ePHVKZtmQobDSRbbNbq9kN4woD/w6A0V/aFiMBIMhpLByPaNDkep9fhHFtyDSDOMrKMTpYrzZzr83l9+Zf0DB+bf3Wg1k//0e5//wNN7D/Ph3/zxf7wA/+lf+x2Y+hCyzT+V8dHfTjpnpnwZ0qjXEFLmEkQIHGtj2VoKlBJ4Srl7jadSfE8QeJrAN4S+oRGkTNUE3ZHPcmeaj945wZcfG7Jhus/bXtbm8m1DhoMeV+00bNuoGMU+aVqk+QUGKTW+l3LsnOHIWcHKQPPJuxqcWpjGRD7TNcXmWY/tGz0u3gJX7eqg5QJ/+OkmS0uTPP9yj6t2tfnSYwKR+KyfljQbCf04QBoJRqK8gPZQcG5JcKVp8LLndrn74Tqb1wU8/6oZfvDbFvjjz3V5YF+T3tBncaXFzs11dm/qc+NlXb7jJV1OLy3xybtCFvshx874nDoV4CuBlHbV08aQaoi1IU0007Mx11zZZzSKuXzbiLe8bMT6ScVMKySOa5yZr9EfBPRHdpUb5MCWFtwjwXCEXQlGKcNIM4pSK4Fi40AOg1jQjwTD1OPUqQ5PfOzudVftXPfbN10/F3/4N3f+xdLxX2Pmon//jw/gP/YrH6R1wz8V3/vT8q1bJ59873e97MnGVTtqFsxIB+oC4FIYpLRSQUqJkhJPCTzl7j2B76UEniDwNTXfUI8NjcgwWUuZrgv6kaQbNTlyssm7/mIGdIJIEp57TZ+dGyOSBLTRGGOTOFIIpBJ4fsC+4wF7DtZo1jxagWRdQzA3K1k/47F5TrF9U8ru7SukYpHf+fgEx45P8fzLfC7fkTJIutz7RMhU3Wd20jDVimjUrRTSWtIeKpZ6hsV2SrtX50VXrfDgnj57jyumJmrceOUUP/KGRX73E/DwwSa9gWGl63FuaYKN6xqsnx6yfXbIT7+1z0SjzeNHYN8Jie8blDIIocmic2MgSWDHxpSbr05IY584CTGmwTDyObsQMBjZFW0YqVy+DSLBcCQYRpa1R5HNyo5GmlGkGcbavWZy5h7EgkEs6EaC5VjQSzRpv0/cPT71pufPvfd3FxcT6u/4SO90yzQ3/9Q/HoD/1K99mB1b1qnHbv/TN+8/uvyBP39gofbo3mne9RMdLt/WQ0r7pQihkSJESoOSPkoZlFQopZzelvie1ZyBrxj5klGkCaOUUWyox5pRrIkiw0QCo1gzSiBKBMNYMkpD4rTG3oNNHtsLqTFYaFtt7EsIlK35aIVw1SaYqMNkUzLdUsxOeayfgYs2jtg0t0Jslvidj09y6PAk11+suHirZNfWZb7yVMK5xUmeu1MyPaGpBQNCGWKUIEklwhiSNGK5V+Pcos/1l9d5zmVd7nq4xoZpQaPW4vrLND/55kV++xOap061WOlpVrqK+WWPdVNNpifqTE9MMtGImWvGbL8+IvQTfC9BqRQpbDBhsBdVHCvOz3vEiSJOFFGsGMXuPpKMYskokgwjySgSNkCNBKPIMIrseR1FKVHkNH1sXx9GMIwFwxj6ObglvShBD/s8Z8cy73zHIq+65nSj2w4+kHY+oFN5yceXjv1+OrP9716u/J0D/D/9xoeYbgbq2LFTbzly9OyfPLTnVI3WDLfc7+N7kl/5kRWu2NZFyRSptAW38lFK23tp8JXB9xS+Z/AjSeAL+yX4glGgiGIL9Dg2RElqXZGkdKSQpIY01aQaq7c1ObgzKeRJ8H0IPUEtFDRCSbOhmGxIpicF62cStm/s02qu8PG7I+54YoaVhQmuuUixfZPPpduGpGKFzz/QoOl7zE0rWo0hTxyCpw97XL3N0B8prr005ppdhrNnUuaXAwbDBq+9octXHx9w4JSiWZeEwQRXX6z5le9f5PanBnz69nUsdgzb16cstz2mJhSTTZ9Ww6dZN9RCTRhoQi/FU1ZqSddaaQw2YaUFiZYkqSBJBHEiiRJBHEtGsXVeolgQxYYoglGcEsWaqEQco7h8WHAPHLg7saQdQ38UI+Me1+9Y5pd/dInX3ajp9afoD4/UCJp/hlf/50au++vT+/843XzZD/zDBnggtVxcaX/30aOnfm//3uO1yYZHJ/GIheRT9yiikeItL+/w1lf2mJ5I6UqNJ1Ons60e9j0PP/YIPcXQt0wz8iVRIIhiYb+cWBEnEMXSOghJYfslqSZNrbuQGueUOLckc2eUtLIn8ARhIKmFkmZdMNEwTLU0G2ZGzE13ScwKH/mq5I8/N8v6Wo1rLhJctMlnx2bN9k3LfPxew9JSjcs3KqYnoNWIOXdUcn45JNgJo1gwNymZmoIDRwzLHc3ZhRqX7qjxiud2+cydNWZbEAYBSk5x9S7Bj77+PL48z6fumubpUzU2dGLWTyVMNhWtuqJRl9RDjzCA0AfPsw6TFCBFCeTYCzvVkKaCJMUBHeLUECUQx6klhVgTZfexdrZj5so4CzKxkqQXCzqJpBtromHEZNjhu167yFtf1uNV10On12IwComigGH3aE2G9fd6tdATwv9LLM/8wwT47//xJ0hT/f1fvf/wbxw8eGJiuqEYJAYlBB3hMxItPv+Ax71P1TizvMi//I4+0xMJo7BGp1/DUwG+5+N7PkGUEvkeQWSlSRTbVLplHGGZyLFSkkCcQppaJ0FrG3BpbbIeTgduC3AbuAp8zwKkFkKjpmnVE6ZaCXNTA9ZNr3D33og/u63OviNT7Jj02bURtm4M2LoBdl/UoZ90uH/PBHXlMzetmGrBVGvE9GRCEHgIYS+uwShgqROz0je0ewnnlwMu2tjiBZef57YH+uw7NUEjjPFVgBCT7Nqi+N5XLfC83ef5s9ta3P/kFIs9j/UTCVONhEZNUq8pQl8Q+hLft7GKUjj70KLcYHtYtSYHepJqt7o5azHRJKkFdxJDlJjicAmdYWJJpR8LOomgm8BwmKCTAbP1Du/4ziX+v+/p0QgD2t06oyhkFAWMYp8o9hl2T0wEDe93JmavCQ4++Yk/vuTqN/3DA/jSchul1A///vs/+s7jx0/O1kOBl1pWUQI8B/KBlKyMPH7jr3z2HFrmDS/p8bLrumxYF9Ht1BmMQgI/IQx8RpFHGFh7LwN4HEuixC67ceI87RRn/eGYW6INBbhtktIxN3jKJkwC31ALNPVaQquWMD0xYtO6Dufafd7zSZ/PPzjD0nKTS+YEF60XbFkfsHW9YOfmIV6wwofu8Dh8osllGyTTLclkM0XKEafmDaEnkQKMEUSxx/b1HR4gpdNXLHcM55bqXLa1xne8rM1ffyng6LkQ34sRwkebJnEiee7OZbZ/T4fPP9zng5+f4aGjTbZMC9Y1U5q1lFogCH1B4NtYxVPYwFmKvCbDYC8ybbBOS2oBn4E8Sa2ks2CHKLW1LlGWPEoEgwS6iaSbwCDSpP0RW9d1een1y7zxJX1ed4PGEw2WV2qM4pAossCOYo/I6f/ewplZr7br3buf82Y1HLTfV6v/3Uzc+jsB+NJymyDwf/Czn7/jnY8+9tT60DPW6kscwKV97ktBT0q6skY78vjQV2rc/niX6y/v8D2v6vP657eZnQoZDEMGo4DQ94kSe6KyQClJFHEqSRJJnAqSRJKmglSLQmtrQa5KTObW2GSRcsmiwNeEQUo9TGjVR6yb6jGIB3zpCcOHvzLJ/U9OMR34XL3FsGlGsmE2YPOcZOuGiIu3LPP40QGf/Oock8pjblIw0RRMNGLa/ZTP3VujFVh3SBsYjDzecPOIz95na2LaPc35ZY+t61u86YU97t/bZc+BgGaYoKSwINcNhpHV+t/7ijaXbTrPh27vcM/TUxxfrrNxQjBZMzQCTc3TBD54SqAkLkFmP3dWfqSdVNO6WOESB3RLEBCngjh1wE4Fw0TQTwS9FBvzRBHNep83vXqJ735Vh+delrJh2mcwbNLpBURxwCgqvrMotsGuJSjByeN71/v1e9558eUv1v1++/2Nxjcf5N9UgC8vr9Dt9pCC7/vil+7875+95Yuz7ZUVwkChcva2qWUpwBMQSAgldKVP31ec7IScvq/BfU/0+OtrurzlFQNec/OQmamAaBQySiwbxIlH7ICepIokdQmbtAC4No65dVFTJpwNqaSt4/A8TeCnhEFMPYxo1QekDPjiw5K/+PIUTx6ZRMQhO6YNm6YM66YUczMBG9dJNs/FXLSxw4n5Lr//6SbJqM7WrYKplsdEEyYaMcKP6AyaTLUMQgiMgTiRzISKRCd044BuP2W5ozg1X+fKi1v82D9Z4d1/GXJsvomnYndheCRJjWEk2Tgb8txLOlxzcY+njp3iw1+pc9tDU5xu12mGilYATd8QeAZfgSftOReiWl2nAaPtRZdqQWogSYX1z1NBlNok0SAVDFIYJIYkSdDxiNnagNe+coW3vbLLi6+Omaz7RHGT5XbIKA6IE8+xtnKPFVGiihU3kYz6bZ589Pb1caL++67LbkwWzp/+01qjSbP5zQP6NxXgg8GAVqv5xvvuf/B3P3/blyb6vQ71mkeSmnyZzPxtKeyJ91JbzBQoTT0V9FVAP/E4P6rxqfua3PFknxu/0ONffWeXKy7qsH5KMdHwiOKAKPFJkgLkaQZwLdFGYoyVBCYPKF2qXxkbxHoJYZDgq4jOIGa+E/NbH69x5Pw0D++ZwuiA2bpg/TrDuknB7IRidspnw6xk42zClrk+s1PLfP4RzUNPT3HNVsF0S9JqSCYammY9QvgjwtDDU/bvGwNpKhmMPAbDmEQLugNNt2dY6vicXZzgpt09XnDlCh/6Qo36ksKTsQWk8UjSgCi2PZ7rpmo8b1eP513S44GXnubYvOTPbpvi/EqDk4shgZI0fUGQyTBpSSYn8kyqYJk8MYJEQ6wFoxSGCUTaQJpAEiPViM3TA67Zbr+PG65Imah7JEmTdtcCO3HAtius52RjAe44le5eEKeS3kqXh+7/ymxqvN+9dPd1y6Ph4JPfTEx+0wC+f/8BNm3aqP78gx+6ZM/e/RPdTpt6aMGtMkkgDHFqpYqSBi8FLxX4yhAkhloqaCjBQAn6Xsgg9VmM6tz20CR3Pz2gGY74569rs3U2YcfmATdd1cUTtkVMCCtXbFbS1kobU2JuDEIalLCeuSEBmfDUEcmDez0+c3+Lp463iJIGLU8xVzfMNA3TDWN98AmPmUmP2SnBxpmEzXMDNs0tc8eTI/7wM+vZNOUxNwETTcVEU9BqJNTDEXfvVwwjD79pQWWMIEokNU9x3WUD7ntiyhY+DVJWOj4LKyHnFqb5sdef4+TCIvc9OocvARGjIQfQKJL0Bh7TrRpTE01ecFmfl17T53tePs/eE5rP3l/j/r119h9ukgiP0UjRjxUqL30oB54uJ2A0iTYYrfFFymQQUSPmBdf32LlpyNZ1MW9/zYh6IGnWfaKoQbsbuJXUc4Sjcq/dHnL1kduUgiT16PQ7PPzgXRPnzp695DWvf4s6euRQumPnrr8/AN+7dw/r5maChx566Acg/Y1Oe5l6zSfVpshQSsviUlrGVglWIqQGLwFfCnxtCFNDTQkaqWCkYZj6DFKfflqj20357x+axiQxG+aGXHnRkNnJhLe8YsBF6yPiWDi9LaHE3OTvQSOk4KO313n8UBPheRw73eDUuQa1umIyFEw1DRM1zUQNWnXBZEMx0VJMtzxmp2DdVMKG2SFb1ndIzQof/eoEg16TS7caJhqKVkPSqmtatQTfj/j8fTVGfYm/3naLZhKlWVe89sYBdz6i6Y0kvUFKp++x0vU4u9jgip0t3vLiDg8/1eDYUgslNRA7vewTp4pRbBMzvaFHuxfQqjdo1kdcsXXI83cPOXG+zdEzK3h+ymOHPf76Kw2EsoVrjM8fNBrQYAxxlLJ9Q8LbXjFg3UTK7u2GDbOQJj6jqEWS+Cx3fJJYEaeei4MsoDOA25hIulqfsgFQGAFxIpyc9Dh/fomZueQ3Hnv04f7Wrdv/eN/ePdHuy6/4+wHwUydPsrAwf9mpU6fe8+gjD0lb3SatNBGWrRNpHLghcSn4RAu8xOrEODX4qdWAoWeopYYkFUTaEKWCkZaMUkmkfWIN870JvvK4xpDyN/fbkQ0Y7Y4si+csMpFVJEqkUiSxh9QevidphbBzztD0NY1Q0wihEQqadUmrbuXQZEsyPQGzkwlz0yM2z3VJWea3PlbjrifWs2sWphuOvRuSVj2hUY9oNgbU6w1CJVHSaXCsHIhjn+FAMBildEfKdi0NtG2ZawacPDfJi64c8ZNvPcdv/rXH8ZUQITTGxOjUECc+USwZjmwZa2vg0awFNOo1GmGDWhjTqkc899KIwI+54dKEt7+yj6cSlwTStt6+LMqdpNNaIoQk9BUQMBx5LC57tm4nzWIedySyiIFc4VoG7gzYWWIpcUFr8dx+39aPNzzwwAMyTeV7er3+V0ej0ZPfDGz+HwP81ls+SaPu1Y8ePfTm/QcOiMBXaCPcSbSgzsCtlE3ASGVQKajUasMkBS+1vY9JFtGnLqrPInstiudaEGlJYiSp9oh1SOpsr/Itz1I6W9KT4Cuo1Q01z1BTKaEPoQe1wFAPBfVA0qhLGjXPArwpmGppZiYSZqdGrJ/psXn9In/4Gc0Hb9vAtinFupZmoqloNRTNBjTqKa16zJlFzaEzIbXAXtCQVfoJhpHHzo2ajeuGdIYBg6FxLC5Z6Xq06jVajSne/srzHD5zlvd+cgue9DBoUp2SaEOceIwixSCyRVH9mqQx9KiHPvUwpd21MUbgpzZh5qd40jZKSJm6uh9TaiyxJZwW5IK2dlWW2sY1aSrRWpLoIt6xAM0C/Oxx6d6xdAFum2SKU0GaZvkKF9ymgkcfe1x0Ov03X3TR9kMf/9jHB2/+jjc/uwBv1L2gvXL+51eWz/08eiTDQNo3LGUOcCkNqTSk2tVyp4LUyZNEg+c+ZJolH7Rxz03+WvG4qJSzXq7IA6Wy5gZcJs+4gFbjSVxNC/hK4HvG+saeoBZKaoGkHirqNUWrLmk1DJPNlKlWwszEiHXTfS7asMj9+0d86PbNTNdCNrQ0Ew1hwV2XNGuaZi2h1Rhx/z54bG+DS+aM071F2nwwUtyw23DpRQMeeHKK/si25/UGngO5T6NWp16b4rtessRj+89z356NYBRap7YcNjEkscnrSQYjj8bQUK8paoEmDHzCICX0NJ6X4ns2O6yUdkVsdoVFGASFniuCc1tCrDNHSmf2a8mKzYCthQNp9pwc2NlhCczdl47ydz3q9uWJU6f/ox/Wgmaz+atA9KwBfDjoy2g0/OXPf+5D/3Zl6UwQBp59wxJkKkiFIK0A3AJbuaRCqgyedo+1baDVKfnjNMu4mSzzZtAuE5clK4wxlDLvlRU3S1VnCR0lXcZSUSrastm/MFDUQkU9FDTqglbdMNFImWwmTLVGzE4O2Dy3zH37Bvzyn2zg+MkpLl6nmWrARF3RrCuaNWjWUuq1mMAf0h7aYjFf2fgju6U606IBE/WYfqLpuzrr/jCl25e064pGN6QWttixMeZXfqDNf/qA5N49GzAotNGkqSZJE6JEE8WKYaQYhJL6SFELJGFgCANF6Gl83/r9njKuzsetqk6mCGGqDboutW8ciRhXy5I6wKe6uLcAle5eFAB3j9OSFMmSb/YCcKTlyil0aki14djxU0FYa/7sD/7A2/3+oP8fGvXG3zqd/7cG+KDfQev4V598/K5/vXj+eK0WSFJjkEKQuORCKu0Vq6QgURmQDVpacKcO3Dp7rAVamzyNrHOPFow2tovclYCWD8YAngW2IgO3yGrKrSTyXCua70nCwA4AqoV2JEM9NDRrmlYjZaIRM9mKmJkYsHluhfv29vlPf7yOfcdn2D5jHZZWXdJsSMvedUOjltKoxcRpxJ9/oYVUCl9aJylncJMt4T7f++plbn0oohuF9B3AewNFt6dohx61ICT0J9i9LeG//tAiv/THgnue3IA2klTbtHqc2EKzUaQZ1Wy5axgKar4gDGxmM/BMnrH1lLYyURa2bQ7wIuUJOBLB5hKs2+IC+QzAbuqAzpNrOHYnX3Gz1bkAuCndm+p9qjFGcvDg0dptX7zj37z+Na8U7XbnFyYn/3bTs/7WAD9/9jDGmBccP/xwXYoRga/ssilBpjj2BqVx94JUCtI8PZyBO1ue7Gs6r5Uo2q8s0IWto8hAnZ34sfdV9G66OhNJUUzl6sgtwCW+L239RiCohXbmSSNMadYtuCeaEVMTA+am2ty/t88vv3+Gp46tY+u0YLZZkiY1j2bN1q/Uawn1MML3R5xanMZXAiW1s+WKIDNNJUmi2DRtSJKYTlxznTKawTClO5TU+4pa4BP4NXxvksu3JvzXH5zn3/8R3Pf0elItLcBTQ5ykjsk1o1BTiyTDQOUSzPfB95xzpaTNBUjnbgkQ7n4NjFu5gksKIfLkkHbJoSxbnKal13UhOdMSsLUuvu8cB2Mg19rQH4346l0P1nfu2PEC+X+w48TfCuBPPXoLmFHjqUduC9JkhdAXeYuUdIBOlftgqQW61tlrFuhaG1KP/ANVgZ3JEJMD3WRyJHt8gfcmRVFEJSVIKXJwKyldo0QmT6DmQxho6jVDPbT6uVGPmWhETDUHrJtu89CBIb/0vmmeODbH5inFXFMzWRe0apJGTdGoC+o1e3HYVH/EfXsEvWFATeEuMqvBsyaEVAvixKNZU9x0VZf7n5qgH1uZMhil9AeKbqgIA0XgB04/T3HFNs2v/8h5fu4P4J4964m1JNbaNUsXPZijQBIG2rK3X9TReyo7cDKlkHFZs8laIM+SQiYDuAN8mjsvrLnyaqevdYnE0tS4n68F9EKPn5tf4c/+8pPBW978+saHPvLZ/ne/9Vv/7gG+cP4YUzNbp5546GO/b9LBS5RMEL5Cumxl5YqVVnPr0rJlGbu4yrUSa7N2CdA6B3bRFIzT3vmXIWymVEgHbldkpHKAg3IVg74HgY/tBApcgVWYUnfyolUfMdkaMN3q8OjBEb/0vmkeO7qejVMecw3NZB2aNUGzrmjUFY2cvVNqYUKrMeSOxwJW2jWmp4s0eQYY7bRpnCrWzype+ZwedzyobRdNpEsgl9R8Sc338L0Az6sjpeaKbYZ3/sh5fu4PDPfsW0+sPWJXAWjLXi2Th7HMqwsDT+J5rghLCpSXnRvy95ddhJlUEVlVGkVCaPzQpXutS/f5ylsFd7myMy09L+KvQqLGSUqnO3jJvv1H/uhHf+AtP37DwaMrl16y4+8W4P3OaUaD+Z/rLB357mi0QOD7aK0tmLM3KMeWKC2czs6u8uKKz+RHmssQcvauBJLjzO2QnmXkcu0tswq6QndnFYOewtZneAbft43FtUBTC1LqtYRGLaZZG9FqDJmZbPPw/hE//wfrePTwBtZP+axvpEw2jAO3Y++apB5a9q+FCY0wItEjulGIUBI/Y/BcgwvHXs4vjn2awdCWC0Q1pjOQD1P6gWXwMJC2Jt7LNqA1XL3D8O4fP8fP/J7mnr0biLXHKBVEqXYsLqjFmtA3BL7tXfVc3OEpWyKspHTnx3XlZ/elwqz8wizHOmPgzkmoRExlcOdxlSkel1/LavVzVk8LEjx5epEn9x757jvufuRQFMXfcDPnNwTwXvs4jYmt25+47w+uSYYnqQeC1KSkWri+ySLQUNoUQYg2rqMkK+oxJYCL/ESlunzCRIkpiqykKa+ZGWuXg8psuXUdOsoFU57nOoNcEVJWPVjzU6ebY+q1EdMTfSabXe7bk/ALf7iORw5vYG7SY66eMlkztBy46zVrJ2bgrocptSBhohmx56jh9oebBFLiK+2CuMKjyJbvOFUk2uNlz4255OIeh47XmWtQ9DmOUvpDx8KewvN8V4lpveurtsOv/+gC//4PNF99ao5hXLfJsMTQcDXcoY8FuZetXjrvbZUqzVc4JUUJ4KIEclbplQLkpgrwvEKxWHnXWpkLdqfK4CWZk2a/h2LfoTPc8sUHr/kv/+FHt+87ePLY7ku2fvMB3m2fwgumdpw7cff/1PHiGyVdgsAnSYUNIHPmtj5pHnjk9pJBp5kcEauWtMwfNrmnPeaSrHJLHHOPg1sYpMpsQVfzohxre4bA0/i+JvQ1YZBQCxJqYUSjNmJmss9yt8+dT8Kv/8VGHj+4jnUO3FN1Q6suaNZE7pVb50Vb9g4swOvhiChNGQ5q1JS9yKQQlUq+LJFiA03PanlvxCgyDGJRArgmCFIC38P3pZ0qIP0c4Ai4dqfg1398mf/+lwn37J3ldHuCYVMylRpaiaHmJg6EvnHef+akmJy9M6mSATx/v+5Nl3GeK0T3pWSragHuqqS01ZwlsFeAnlm/xWqelkCvXVKvt9Ln1LnlN3761nvSV7zoOf/m8NHTRy/esfmbC/BB5wix13h+Z/GpN/dW9hL4IanWSLnaF9W55Vd6zTi97aSIBbVwS1uWsKlKkTLAs1NcVoXZl2DHPWTsXXTjF8OBbFms72k3ZiLNwR0GDtwzPeaXB7zzzxt88t45FnrTzE1K5moO3DWruxsusKyHkkZoHINb7V0LIyDiy48GLMcBsyGVemxEdYVKU9v8MBF6vOL6Pvfti+jGIZN5x7omGNla9cCzAPeUbcgW0iZoMHD5Nslv/qsOn71vwK++fwMnF6YZTHlMBYJWomkkEMZ29HKg7EAjPws0pciD4Oy+HKiXL0wh8l6R/PuBMQlZBnYpftIl8JfzGOMgT8sBqra2pMHjgUcPsHXLhjdPTjT/vNsdHP2mMngc9/C8xqWLp77yU4OVRwgCAUYXMsQIVOpSulnmK2NwlwHLAJ1r7RzUmQQxhQ01ztplWeJOdMYsWbo5cwFUBnBlbDmul/V22v7OwE8J/IRaEBMGMa36AM/rc8djKX/0uQk+c9d6Ij3B+gnBupqVJdYCzHxy5Q7hmLvM3jGeN+Lup6foRx6bGtn7GWfwbHWzpaQ1X/GCKwYk2gJ8EAvbtZ51ro+0DQ49NxvG2XvZcDuDYN2U4Ltf3qMVnub9nxtw59OznI3r9GuSicTQ9IwFuefiEGVcXOKaUWR2DkVROy5BUrD4+I6CuVTJRlQwrs3L3UNF7XnG6OkawWlaIsDUFIA30uOLdz3F9dde9lNv/ScveqTd7R+Y/DpGwn1NgEf9g6yc/hReMLV51N37UmnmqQU1Up2gtUBqidICLSWpNihTMLfWZUlSsHdFjmRaG5dMqAC7ZD2U7SthxqRJlpWzFYN2tJt2Nd8O3MrWYoR+TBDE1PyIRmNIEPT5i9s83vWn6zk0P4Mf1tjYEsyEKROhoRlC03XY10Ob7ay5hJCtX0ndSmDlyUInpRcFBEoRyKK5g9JHyS7srHYjSnzq/pCNUwNW+i0GsXDj1mys4Pups/mUszuVG7VRDlxt5eMbX9zjhivn+fU/G/LBz8+xlDTphz5NXzLh2Rqc0INAkTdDeFnSJ59DI/IscJYAKpNKVayUgU5lBdamKjULbT52rDIbytlr67WnRnHsbIcv3rv3pZ1hunl+sX3g4T0neO4V2/4PGdykTG96xY5h+7E/THoPEwQGbZISY2tXjKPxtKykc42pShSji/qGLHjMTwKiJEnEmDTJwG0KNnHZN1kGuDQoV+RVMHfqQJ4QeFaShMGI0B9w9FzCez/b5BNfneXwuWkmGj4zNZgOU1qhcan3DNzSgVvmSaGa095hYC+cieaIj9/tceBYnZqbwJW3i1GgPB/jYKwOjxOPy7fDt93Q5Y9umaXX8Jhws0fCyMUNSuN50o2towRyv/Rd2VXhonWSX/hnfa7ZeZI/+MwMh89OspTU6fseTSVoOKAH0tgLx7lM+eqXndfMPsTq8yLTaVb75BkxZaUTuW++2lI0ZRCbqsmQyxMH9tRlT1MNCR633L2PF9xw5R9+1xtf9Lrzi92vKVWeEeBpGiGlz2D5zq1R55Fd6AUCP0TrmFTaajJlikIc29wrVj+uFO+Qg9+U2duIyqhk474wMsbOQC4KYNv7oqBLSe1ck4y9U3wvsZ07XkIYjgi8Ed004j0fCXj/ZzdyanEKrerMTCpmAsNkoGk45m7k6Xvp6lScNHHeeQ7uwGYvR3HEgZMhvShkOnQuTpZ0ylyJLAtrSjUpscdE02Pn1ggVDulGLQaBoB4bRhnAvdQlapT1sWVWArxW8KqYm+zzY2/s8+aXneX9n+3w3o/OsjBoMvBq1DxFwxPUlSFMjGVz1yfryaK8IctyrmJy1pAr4w4LVGOpTIaUiKzM4nmcZjIXJWNuV0FqBDGSxXNdbrt3765ms7b1ba+5/uhwFFMLfS50e0aAm/gkxpuck8r7SNT9qu/7AmMStJYoLUmlzOuHsx5Ik8mRMotnxTpmDNgO8AVjiwtkKE3JDjQ5sCvyRLoqOZVagHspnkoJ/JhaEBH4Ee1hxN2PS/7itgk++tVZhmmLIAiYDQRTgaYZGBqhoREU4K6FkjCUhE6a2MSQcyYcwAPfZj6PnDHc+VCDKPYJm2ZVgJndinS2PXdRrPB9j1fe0OVDX+yx72STQc2OZhj5hiABP9b4kUYpa8daGSGL4T4U5zPVkkRLGqHHhqkBP/Ndfa64aMQHb2vx4J5J5gdNhirA9z1qnqAuIcwGLGX2qrR1RXnBmiidf8fk48VZZUbPCGrcEcueF9pblNicvN4oyQjAQKQhNoLYQOop/voLj/tvfe3zPnLyfPs5C8u9+b81g3/mgU1yU+OR5++a/NhkoHoY5VlmdmD2tMoDSeUGWGoH+Aq4x2RJfmTAdhKlzOCVwh83MRxhXCLHjnrLyj2t7jZ4KrUAV2kuRzwvpt2LuetJwZ/cMsFtD0+y1G4h6zVadcWUb5gINA3f0AgM9QDH2pa566GkFihqgaAW4Cr0tAO3JvSt/lbeiP0n4VS7ZhMrTt9WEydF/Yztg7QgT7Qkijw2TAgu3TbgieMJ/dhn5GZ8BxEWfCqbrJslamC8TiO7eDIbMk5tffjbXjngNTcu86VHunzg8xM8uGeCxW6DtgzoBR6BEgRSEErbCO5Ju0udEsVFqoQr+12DwVfVr4wzeYnQNKXA0whSqMoRA3EZ1M6NyRpaotGIP/zwbZM7N9/8/Ouv2HkLzzA86BkBvmniYChM9HsrK483t0wPiVPf9jtqiXZ1yVoLPFNu9LUAL4O78lhnOrQE8NIJqfBCRZqYSoG+lSXaaW6NkqkdiJ+5GTJmvptwx0Men7urxSfvnOR8p4mo1fBbPhMeTPq2k6fu42QH1APhDulKTp3uDgRhxt4ZwL2EIEioBRHGxHz54ZBjZ+qsmxH4UjsdK4pG3xLbmZKFmqaKwchn+wbBK6/v84l7I3qxzyAW1Hzbrxq4yVLFKqVyv9rOUac4r0bk31PqjiTxqIcj3vbyAd9ywyJ/89Uun72rwR2PtzjfbjAQAYPAw/MVnrAjPXwp8YVxUsugECVpWLUP1yDzigtWMLfIA9B0jLHtUTzX+ZXhurV0CibBJAnHjz/WDORzf2955ewVwOBvBfBrdt6O0G384VkkHl6UuO51zzX2FmBXmUQxsiJLsufZa5UvAWzv5Bo1gZWAsgRsO6DTShLhAO55KYEXU6vFDEcp+07B0dOKD39hklsenOD8chP8Gt6ET0NJWr6h5WnqvqHuQ8234K75diahLTOVpUO4nxsHcp2DPPBte9qh05onjoTg+26ZN6UUvaigoByEpWnW8WLHOV+9c8SVW3vsPdVgUBM0EkEYG0YKZ+1px96Zm5JZkIVWyX32POmm3PQBn2HkU6+P+P7XjnjDTSvc+lCPv/pig6Ona+w91SBaCUlCj6HnIZWd6qsAz91nTJ5LF4rgf9Utd1MKUGsKUGvIdbb9mW18zkW7SV0WMAHSbIoTJk7Y9/iI//3ne5iebj0ThC8M8JXlA6I77P/Uxz7339bFwwluvDTmht0xgZcgVYyOJVGk0FpZNs9YIwd0Gdiy0N0IB2pK92PwziL1XPPZpIaVJNrt8pAShnaSapKmnF2EL3zF49DJOrffX+fUcp1Dp5sQhqiGR81TND1D09PWRfDt4Pyab8e1WRBnh3SHcgDHaW4Hbj8l9C172wsr4sg87DnawJdVezCXKBT14LmjkDkp2vU1Jj5Xbh9w6fo+Tx5O6Cc+rVgw8iBI7ExAVQK4lAIhZYXJYdx+E3kwm/VRxqnPyA+YqEd876tHvPiaDqeWO3z5gYDDJ0JufbjB6cUa6cBHS484UAgp7UrhuvIlLuMJuWxZC+SVQJNyljpzWzKNqkuHY2wcwOMUYo3wUqRKufHqETdeOmLL1D3rvvPbf+anfvhth9998UUXrxm+XRDgd933KYaj9Lvf9Xv95vzKLDu3Jly9M+Klzxtyxc6YLTOaS3aMUEaSxrKyJFaBnkkRB+wSi2dsXX1nphSxF6ydSxGV4ocpcWo4fELwxGHFF+5v8OSRgKeP1OmMQkZRCH6AmvAJlaChoOFp6iUfOPSyOo2sbNbWhYdOlgSBIgikuwBMob391GYWfavza0GM0RHnliQjE+J5kkAavJLNNkbgOcjTPEC3jlSU+Ag85mYipBrSi336nrBOR1wUjHlKVzKQUpSi2GzYEQKjZcHkpcFIfqry8RP9UcDG6YiLNsQ89+IRg2jAPz/S5smjAV+4r8YTR2ocPl4jThSECiMVCGsw5NmgPEmxhlapiPPMB87udel+7NAaYo1Hyq6dMVtmEi7fGfGy5424+uKInZtTev1B84G9n/9ubfx3f0MM/s733caXnlhWX73/XnFqqcYw0Tx20PDEwTq33t9k0k+4aGvC1ZdHvPqGEa+4LgJj26LqTZzOlqAFiQN/FkhWGLx8yRsLaNz8Et8zIDRCGuLI0B9aRj96UvKXt4X0Y8WjT9c4eCJkoRcwSgPwAlA+akIRSEFdQUMZago7zky5wiNlWTvwhU16lMHtSwInS8IAwgDnmtiUue9pAj9xGdGYei3i/HLKF+5p0e6GTE8KvLzhugD5msymSwGhloxGinWzitfcNOTWBwccbzcZ+NLKFA/8xODHmWftPHaZWruQ8qwTmf8NbbxKyUSaSoJUkXqKxLdjH+LYt1aqH9MMYl58dcILrhjxppcO2X9C8tgen0Gk+OAXGhw564OQ9AceaaSy8k2MlwF8zDIqp28rAAeMRqQGoQ3GAbveTPF9jTCaV1w/4tU3DLlqd8z2rQmTPqybMAhjR02ETcENOx4VEzMvUb1zH0maG9769TP49OT0e46e8q4dyjqEVuhrnTLf85nXmiNLmnue1HzkCwlzMwlGG66/LOJtrxq61iOYm9Rcd3VEs+ZWHCPyHNjq71zkw3nafcFjj3ssdiT1muT+PT6f/mqNYawYxoozZwO08IiNjxY+eB4i9PCkJFCCmjTUHLBDZQiVsTXgnvN8vYK5g6wvMwe3cj2aImfvwNcEQVaglebsHQQxSkV85RHFJ+5toQLP2m0V/X1hBs+88DTNHA/FcOjzhpsHfPLuDh/88iS9pEbT6XA/0+FxlpQxebeQEDIHmP1TsqT1SwDXbrSDZ5nc9xSJ5+ElqQW6SlHKDtKfriXcvDvhpt0xRox4y8v7DGM7zu1TXw15YE9APRQsdBSPPRnQ6UunkgQXFOX5zhO2NfC662LWTaW26SHVvO1VQ667NMZomJs2zExrPFuUgU4l0VCSauUUg2AijK71/On3AD/2dTH4wlKX2enmxC/81qd2x6lRqNAV9Wjbi6bslaaNZqQ159qacyt2aMz+4w0+/RX7c5MaJqc1z782olW3dcBrpifLl7pzHVZ6igefCOi0FdKTdiaK8SwzCQ87F9gD6SGlxJfCglkaQqkJpAVCoCBQxYw+C3JRNDx4thEgazwug9syvCur9TMGT0tHQujFGBNxaiEgGtUIJyWBS3srV5VXyWIKCvIqWad5d7pWRLHPdEuxbV1EIIYMkpBBIqh7dghmVkOSJbSULJe3yvxv2b+RuVq6yJ5q7ZpPCmmUJKnLGyg3lz0hTlJUbHMJnkqRMmHrOu1WDM0VFw2JzADpadptwYNPeKz0JSpXLNWguvJNu2KsZk3zgmtjJqc1JrEre13Zc2dlrkLHPpGx79NQdulsk7NJtRJJf3dr8/dPxFGn4wfV3s1VAD90Yp4TZ5ff/dCTh19+vtNHeH6egi2mH2V7wJQ0E5rEGNrZEqQ0nRXDma80Sx9xLYCX9Zv7coRAZ1su4GpOhSqCHCmdlZWB2qWdJW7j1sw3Lt17rpNe4bbeIwe3betSBA7cgUdeYmoZ3LG4pwlcdtT3Y8Iw5sSC5s9ubYIX4EtRBJi5PBGrGLzsD2cJMgs2O1gnin3e/poBf3PHgKfPteilPo3EbkprqwBN0YmjspxAOdjLShezr02WCryyQ+e1MJ6n8FM7L8V3QFeySJrZunH3WGg38ybFEwZhUtY1NN/6Ig0idTITENn+GWt853mNkQCtSGOPbB5LEktiRM7QxtgrRo8bF1mmPBlAd//La4PD7zYm+YmvyeC/8YEvoKQI9h4+S00CEmvEG4E2CoNy9QaldTYDO5TAb0AZUr8E7jXxnbFbBvBq8GJ3X7OBlBLgC5tWDoWtFvSlfe5JXE2F6x7PCok8SnNQcDuzFV31BcBlLlvCwOQtbUGgS4NzEnzH3oEXI2XEsbOC+U4N4XmEkoo8keWPVfq6y9KhAjzndESJz+zEiO0bB+w9O2KQegxTCFOBnxr8xOnwhNxZKlLoqtKpkMV2dtJuVmctStJI46WaVEmUl21frlyxmt1WRsniEFKjHMhF9rexU7KENLnrlQE9c8DWAniR3CvissyUoJI/kS5otj8rLGhrMYvhCfrzHwlyDD4TwPcfOIkA4sGAhmcDv8y7TDLP0v2R3PIhUx8Z8MtU9UyyBNeVUyqsFwJJkSK2U6nAFwZfONA6CZA9zl9zZF+UgpI32AZKWLBXwC3tfZABPQs+Hbiz7h9P5xLF96w+DYKYhJjP3l3n3Hwdf1IRlGs4yg4KY4q0nLouVV9mSZ/hyE6wff0Le9z9+JBOUqPvedQTTeTS6UoWBVFZwZndyCv7S1mgmVVtZtahm6liIFX2b3pakCiBl0q3i52t5Ukc0Itkms4TbFLqUuLNPZZlcDubN98r5gLff6nQjtyEoOK+VeuWxl8zaBOhl4+v+c9XAP6+v7iNyVbtRX/y11+9YfFciueVyh7Rea1AZt6nUEm95n+cr73xSi5IsmSBAJXdC4MHudWmXMrYzjcpNK7KgJ0N9HTypAzsfA6KwvYjrgXwLODMdLeXyRLj9Ha1ljzwYwI/4mxb8/DBOniBHQEtTZ6ezxmcKotnzFX4wOVSUZl74nHsc/0lI2anBrSXG/QTRUOBn9jPolI7QEnFZYBjQZ7/ITlWqSlc36Qrt1CaVAt8LUiVJFWaVAkSB/Jy8VpWDpGP5CuBOiuZEGgHclxJc5aJLpJ2lWKMSv1Kmc1L75lnArgjikQSyMkbJje+5kXnjn7rXRt2fNvaAB9FMe2u+VYl0utII2q+l3dn5FVg2RYYmAp76zywsf+WZrUiEc4+KZtJ2VWeZcUKcBTbnYyXcHpZbYSrAc9KPW1zcdapYmWJyrtXCmBnzbeWvZ3m9sj1dmYJWsYuwO3n1YkxgpjPfDXk7idbyNAjkMLO384rCMvzWcp11MWXmtfulCowU61ItWIw9LnpqgHf9uIu7/1MiygN6aWSWmoYJbiVq1z1p52c02MX1IWYHLQnXS+kyMGdKolS2jK6lG60hC6VIpdrgEwB8kq2OWPybJEuyVSxmszLI/eKGpZMpoyXdYwV6yFIkwThc12a9L/V6PiuNRn80JGTTE+1XvNnf/WFf3b+3Dz1wFo++UkZ69rIWBzH3hmcy4rEULle3YctMbgDdwYAWQKFpKh5KI82yJjbbkGSPccxOHkbVoXFXTeMr6rgtuMUxpjb9WwGrr3N97KGg6R0xETE/NWXJ0hNiMqzl+UAs+hrzJyNigZnrF1PSzsdKs2CTQ+Bz9te0efPPztiRccM0hqDVOAn5CwupUEmIi86s3bh+PopC7YzogRyQeq50Q3KgdwzKG3lih2zZysYbfa4Om9SuQm15TqhrFYlb0rJgV5IldUAr67tFZBnPy+Vd4yzudaSbnuJoNX/Z5sufu3tnZVTt05MbakCfDiK6fVHl6x0+rvanS5hEKzqkSwvHdr95XKqvQzoC92EKDF5SZ7kQB8rz8y1+JjmzEBfnu2hlCi0uKu4qwy7ccD2lCiclNwOtB33tjHZOOYuAkyvxN6hH/HwQcmB0zWM8lFSEkiNN16nURLg4y5KduSdTlqU/GoL8jjx2bU55sqLe9y7v06sAgaJoCbBTw1eIpx8c104idPhSCsXKn9SlFhclKRRqXPGNY97SuczJJWTfgW4s1og48oEMiYnXz1ECdyIbGLW2uy91s1kzasUgC6vQpQll/s8SdwjjXu7SEeXoKNbVzH46XPLdLpDOt0B0o0arjQA51daMXxnfMKUeca3X+Quy+WWYhzoJXCrvOa7sN0KySJs97wowG2DTJF3i3s5uGUF4OXhP7bbnhzYebYyZ+6UwLOJHdsVFGOI+esvN1hcrCNCz/ru5YtwvAalIKfKKpg135bruHNvWivi2GPdjOStr+zy8MEJRmmNvgqop1aLZ+WsSuLAna0V2nni5WhIVgjKMp8pXWDlOTYSpbMVyeSPZb6tutPgMtvvKJMmsmiOGGfwsaaVIt23utBuXAWUa5bK77/AoHNXdJ94dJ4kGeb/fQ7w9/zRJ5FKsri4Qi2wja0X6tLI/3glSKg+WpO93f8V8mTsvgzoMotXxosVjC3LDK5EicUzuSJRXhXggecGAPnZ1oEuw+kZ/DwVr93jtHJ4ynbuPH0MPnJbi5EMUFK57GX1QhzPYK5alkvnsKrDnRZPFUnqEaYeb331kD+5pc/jh+vEyqcvJUGqnXskkKkpnSdj28tEeT3V7m/JVcxnTAFuL7cQ7Whr5UoCVGqKYZ35XBaRX9DJmB4v6ojKDRLF7EMo6/JnoMQSiAs2X/tnGJ+V+b2Memds2r8M8CNHT7Fj++bGz/zH9+xcWph305hKY4lNwb/F6LRx9l4DzOXnYvzxau19YYkicuCMj0OWJcbOgsxsapPnZZu8Ou2txsCdpe/9rDFZ25kheYtY1tOZuCNG+REHTnl0owCU5+SJGSuPHb9wqyekOtBozAt33ThF4sej6Qt2bxny+IGIVIcMdEAttTXbntPgStiNXG1iKWNLTRZkFkxeJEyyDncvt9vsa9nAVE/jOogMUhcTArLpWmnW3Z8bAEVwmQeeY993hpZVDRMVl6kKrKrLshbAwRiFGRnC1vqd1978LxudlZ/oT0xtsQA/dvIMi8srr96+dd3PPfjwE4S+XMUy9rlZzeClVeZCAWX+mqj+TGDzOWUgFMAu+hhViRVVZahmBnKKGmlVAnX+2CV5FM4Lt+C2AC6GAvlleVJmb+X6OoOIpa7mf32sxeKghgh9K0+kqawqxeCcZ9aclWkC2ZyYnMGto5IkHhMNj3d8R5cvPTzB4iggkh4DKQlcD2Ux8sExeLmeXui8jNagHbh1nvYunBXhGNzkQXoGdiWFY3AridLcRSGXKYUOL9oJC5mSBZ6FVVg5N2Or3NoAH8NiniwC3EydUZQwu3n9z82f2XtXEg/+BhyDP/Lo09RqAUeOHEeQ4nuyor+Lf2j1H3rG29gXXB3sOMbaFGltOydvXKJUB9PkwJYCqYrxY6oEak9KPCdJvBzgmebWeVDpezoHt+9l9RdV9vZVTBBEfPjLPk8dqoP0kVISZqWxJWsz3yPefcgLVhNSsHm+U0VJpiRauk2efK7e1eeNL+7wJ7fU0F7IQAaEUuRJHyUFcSmgG2dyUWbyihtR1MRoBcrYVUEbYcGdTQlzw1SLsRLFLJpiMq3t4xSyKk9yZ6WCgeL513Nbjb8C4PYcSuIoZuH8SVLtkyZ2YwgPoB761MKAIPCcC2ETAlb3mOrS4N6bWSs+GAd2yS2xL2eF+WbVQJmKZ5wHlqJg85whvxbAZQFwVaqh9lxdik8uRXxVuCV+aThQobkte/uenVq13NZ86istFtoh1Jx7IkrB2AUkCkJUmbwcpI/bdnlPq62es26Kx/SE4p+8vM8n7x6y2AuJlMcglc6eFM69EUUzthxPrGhX12Ff0jmbF72RXuasKPfYjb3Wbhx2dt7LIBdu57xcSjp5Ylfnsh4XY3JFVAEubBnsBQEushNW/lSiQhRJaqdgCRnmysx74qn9zK2b3vGVOx/4yRMnz+D7nmUBtXan+9fMvLs3kxGYYezLLgG9eoi1JUqWOKkAuzr7u9zhYoe7UwV3trNBxtyqxNyrGDwbN1GMnPCUzVweOSrYf6yGJkRIL2/OLaoHy/GDKLkaxYevOlIlF6CSsi8cFa1tsInxuHx7xK5NQxb31jFpYFk8tTLFK7k4BXuWC72c4M7KaME+z4uY3Eoii7mR5dhGaXvRaLdzR57QkgUZ5eDWws1SyTS5GJMqYgwPJn+ylkwpXhNFoVbpXGapfYRHZ+UcG7Zc8ZMX777p0fNnDxz14iSlPxhtjBP9mrPnF2k1wtXuiGPiCrjHBff4GxrT2+P3+awQqiCvyhNRciZEKdgsAG0ZHDcKuOyDlw+3pbUqg7sEcrdfve9KQzP2Vu6558UoFfPZe1scWKhDUMgTv2RdVi5YVo+LWMVKOXuWA87SGI6SFo8ij4vXRbz+pj4PPN0A7ZOkVov7qcvuplWpVDBnOVhyIDemJFFKckW6x9KtKjI7hNuWxuTjllNlNzyw34vJialI+JQfO5YutbflbS9lcH8N12n8STlOFCiG/UUE6WvSdLQRkx71sn8oS21LQRF4Z1cH38Ct9AYz5rqgPZidBKpau5ApIi8DHQd2zuZKlJpwS+B28wmLbTtYDWyvGBCUj3jztAN5YuWJiqk3Iu7dp/ibrzQZDANoeHhS4IuqNBl//+XPvCbAc5CXZIoZS/g4kMeJx2TL400vG3LL3X3u3xdgmj6DNCQQ5Beayv9+oYNLa2kO8nLOwgaf7gJTls1TafW4LrF2FtRrF1xKLUr6W5QC3WoMVejuIi6wr4kc6GVwX4A318RhmXSFIN/lzfYrC7w0jUnjGExK4FuwXJBx1vjjhrXfTIWtVwF8XKJUJ5oWwaXIQZPPy1Ol3RuUcLUpBbgLkGdlswbPK0Yoe24TJk9Vge7nbG0PpWyAGQQRcZRyyz0Nnj7eAN9HSOVAlW1Tbipf7FpVhBXXoMzaWU1PKZOp82lhMvfE09QjijyuuCjhtS/s8djROqMkIJU+A60IUsbeS+aFM8bg9t6MvRdXBY02Gq0EKkuHS4FRIE2hx/MVVYLUpVmGulg15DjAx+MSxoD/DWQ6nwmbSSKJEk2cJMRxgvexj38W5Sna7Q610KtMSvqGqHsNxwRE5YtdpblZC9QZY5cDzGIHgkKalKzCnLEzgBeTU3OJ4pjbMrbJmdrL74vHvgsuPRUTBhFPHhPceneD/iCApo8UWeUgJXtwjSxm6XOWqSGrRbHocpWFZTelnPApFWBFsU+rFfHam0d88o4hjx0OwQsYakngtLjSdoPdsjQQKbk8IB3zdlXh5HiKQrpIy+bZqpIF+dpYsEtdJNqELrsp7jvXBbOP5zhWAXwM9OMk+YzAHpMr2ngc3Pcop44fROsUb3FpESEEcRzjezJzUFddGRfAdPX5+BJT+TCicgWvyeKyBPay5s5BbvV2OZuplKswdMkp287lHnvl+eBj4HaHn02hdQX+nkrs4cX4fkxiUj5zV507n6xDzQNpG5r9UglvpTS2fJSfXODLqc5DF6WmcuGGTsoK0EdDn5de3ef1L+rz1LEaSeJjhGIgPPyU/D2JtGDx4i2szeTlIfZKZcxt2dw+F0gtch2e+/0Zo2errWPwfGjnGLgrAWcF5IWrshawnwnn41g1WtLt9BgMRhhj8MLATUhCE0f2VJhvTHVXAO2UVfHmxwJLKKatinxJF2MnZAzYFalSTtOXDjUGblU6vGIT1AzQfgnUmXNiHRN7r1RM4Mc8elTykS+3gACkjxAq7yJSbiNVOcZO2efJvhqRn5OSoBur8SmPl86P1Lbu2Sm0Kk/fG+PxtlcM+MI9Qx48ZCcJxFrRT4Ur+HKgSzPglOpAKnCwqweKCtCznyoHei3dfj5ZUJxpb+nYXNj7/DvUpYGdsnTxVxJghSQpztczB5pfK1+eT6hFII0Co/EKtiycgHzq1NcC9NjfKALLUmRc0eClKatjuruQKsIlCwrrKQN4PievDHLXmlZsNmV3digG4BfgrrB26T5rrM2kilIJvp8Qpwm331/niYN18H2QNrgMhClNji0HVmJVYCVWn7GKvVUUEGWuBlUt7lrZtHKOSuoxinyu2jXkpc+3LD5ILYuPRMBQg5eKIvBLM7vQAqqQKPYNlB2zsnWpJBhlkEagDDb7aQTCCIwAaUQhVUpBZcHe7nvV5Qu/NNd9jTwIVIGfn7m1wLYG9LO2YWGEzdUYgZdq8i7nTPua/OxfANgVdsrRu6paLK+FrnzporCvxhyT6h4xY/UngnzvnXz34qz5ttLwUGxdotQYuEtD8XP3RKUorwRwJ1ECL+bAGcEHbmkxin1o+E6ekLemqfIuwWXnpBJVX+B7MVWgl2VKeXMAbdbS4h7NUPJ9r+3zmTub7DtlL75UK/qpslWGqUv+IKz+TkXhVpRWEpMBvQRwaQotLp1Gl9pgpP2OjBQW4LoUK2VMrsux1BorWwnQZY++TIIVgH+Dgacx9vvxPXeh/s7v/M8Nge//t2PHjl8OJmfQCx5yrdfKRVGlI3M7pHA1JNVDZUufLHZpk248cA7csSMbmVD2uPN7r9Dd1kGpgru8V09RTOV2f/DivJnB9yJSGfEnn27w57dOQRiCqqGUR0MZ6sq4cRTkDc5+qTWuyKSWE1GSYjIslQC1iCUK2zG7aIXENf4WvZBKGoTRbNsYcWpB8tATAYmwkwe0UAhhS2nXinuqgBE5j4nyc1MSNQ7sZcrLnR8Y0/DVzq41j/J/U3KT8inEVO/z5hpd/PdU8ger//1UG3Zdet3GK665+YvekcPHptrt9uviOML3veIqusBtzQAgX15KWqpsAZUeFwmAsnsyVoNSZu1KHbipaG+Zg6GQJKqkvVW+00NpIyplxiRJVimYsXeM78XsPy350Jcabv6KZe+8cz/7+4LKeGFZ+tzlQFOUn+QAGgOHLteGFHMFbeBZTO/VqSJVTounHt/1yj6fuL3BnpM+yAgjJMPUx8PVi2TnOnXwTMs2gqn64ca42mo7Gyt7b9KBRxqQxsqWTHdLY/+G0c4f1y5ArazOVTZfU5qUXivjbPVFeeFbJn2TKGYw6Lxu8fzJKW8YjYjjOPedxTP8Y2IM3astnXGAi/yCqdhmZVlS1rGy+rgMcNtFkunv0uMMyFm1W6bBS+C2E1m1u7d2oFIalfndKkHJBOXkSaoSPn1Xkz0HCu0thbTed95Bw5pfoGD8eVnK5aRYelxtQK544qWJVJ4WtjZFFin8KPa44pIRb3hRj0MfColSBcIjFR4DIfBSZ99l5EPmqAjKfJyHwI4ejRGovO7DShNjjNPiWUmIKVL8ArS0wNeZTCn54GWwl4G8CuxlslwleausuhZGs/9Ga0jihFE0wpPSDtLJltXxLyP7QqquQPWNrHWlVe2g8Q+4OhGwdnNDlbWz5xlrZ2DPmDsHuiozeaG7VRZEZlucSI0ni6H5SqX4fszhM4r//fEJhtInm6BVdM27FaRcA13WkxU74MK3ykgZ54VnLWxFyr6swUWlPiXVHknqE6YJP/HmHh+7vcGh0x6oGLRHLHwGQqDSwtGQ5WBzDOSZN28AzxS9AAaBNDY9bzCOtTNPXFfY3Li/o6VAmGL1WG0mOOCXwFoG+zOVeYzjbxXIHcDB7oDhNWqKQU3ZLh4lqc41Wc3Qq66oMkuJ8pVYTeTkj12V21oMWAa2GGPtLJFSBbcuJIqsMrhX8bcdmCt+d+mQlsV9L6ITad77yQlOnQ9Bec4alE6emIrvnT8uf/YKSz3zipiRR8HeWeNBuUczS+HL/MibIaQiTTy2zI34kTd2+fUPBLRjGxAYIxlpZW3DNHsfBlJBobALkBf/b3+i3FXo5jcV97JwfKQ0BYOb0nfnLEOTM/gFAs4SeHWGqzKGxoE9DvILnM8ogu7A4IUGL/DcXD7fIs5csA62pMwry0mpMqyso0qgzlqV7L6LVSCMM3cG7IK1iymtOXu7gvsC0CUm97RjdJ1LEytHdEmqZIyd5PeeivHCmI9+JuQP/3qCkfatPBEqlyd5U/GYJVbR3bkkG2OBtb6MkulcWIVl0Gcpe4PWutjcK0/+2K3Aa17Cj72lx/5jAe//tNXioEiFZKhtwClTcgYvCrCyL6vIfJTtSgvqQrIY49hcFIVilnRsqaupJH6sjMnr0h0edJnkKpgRVfxQAvoai6K4AMKNgSgxxLHtcPKiBOLUXalKrF2nOA7wMZDnb7D0plZbQatrE1YX5pgxiWJKQabboru8ZaAquw66JFUyMJeYXBbVgbnuzu/trMGlZfjYlxosjzJwW4D70mpvT1TlSWXVyeyytb6Q0okra+3sC6k6A2V5QrH1oh6rE5cSpRVaeySpx2SQ8uZX9fnEXQ0WuwpkDFoRY/X4eHXhWDTFhZjc5oGKpFBWn5IFm8axeA5o55Nrwxhj2+8TYT1qgZMyUFxwa2CpIlfGsbfGRzAOqZ4n7fbnFdEv3aU5nr1h/EqqSpUKgMugl6vBviogK7c95YApjYiQpqK9CyttdVCZDacpwJ1WAswsyMz2ufFK7O03Ej7zlRr3P1FHl7S3bWrI5Em13iRvzSqxd9nzL1vha5O4Y8/c4iokyngzhCkHnUbajQecL56kPp5OeMHVEd92Y58/+2wAKgIhMUIw0h5KCLsFSRZoigLU43IlswaNsXZtxuxKFjLKyFKhmLQtYxXmNvaCNyUM6IzEMrY22c8KS/OCzC1W466C+pLdWSYNr+xuyNL6sObVspb4r7B49fE4sPOLQJpCqowxthBj7C2qwC5cFPdcGTw3YkxK55hI43R1SZJkjoksSRRp3ZPQjzl0XPKBz7Q42w3sftfSDnpXgmLHhrF4YZXuLvvOa7D3+K2S6Ckx+6qtFrMtGCtd93b/HHtvtz/Z0Ez5/m/rcdcTIYfOSRAxoNBIhkKWNpGyoMpAnduY5QuuzOd5NtN9D2U2F/ZxBuZMtmQrsf1ZNvtdOL3tHme9maJ4TPlxmc2BfPRESRqvImL3frLNI7y1wLimwK/8I2uDu3wFlgGNoLREVnV3tnTlJz6vry4xt8oAPwbyfEb2+OM0194Zi3vZOGCVoGSK52zBIIgZpZrf//AEdz5ct71t0rPaW0rbtSOK+Sv5e81WFqrnbZzJy+ev/IWszmAWrkWxx3u5fLZcRmvbzXTmqKSaRHqoxOOlz4340bd1+OXfDxgl0magtCRxrorUovTe3IJeHuFgbEsapfdnn4tSbOC66w0YaVyAKfILIA8684veVOpVhGPvckA5LmXXIlO+Jjat91+MFjR4o1gTJSZfglYZ7RfQk6uCgfIbrbC5WVX8XrBgebDPGuxd2n9eriVPpMm7ve222bokUUpjfzPd7WZc58GlTPCDhC8/6POJOxuMIh/qXq69c/bOA1sqx1refuX8kAWca9N3ubCpmKpaBjcYlVUZVmvFUy2R2kqVDOhJ4lFvJLz5pQNuu3PAFx5U1jZEgpDEwmOQraJkLFgUZIFl4byUt7TKWIswA7V7nxKU+3zZc+OkSQb07Ps1QqDz7Qdd4CkLcJZxY0qvgRlj8SoeV4HfrRKBZ7eg8exQeDvi7JkA/vUydwF8swagV7O4KOvtsrcsS45Fpn/z/dTt81x755NQC2B7agzoqgC358Ad+DErPcNn7mqw70zNShNhS2JFpr0FpQlSZhW488+Wf35RAvoz6JMM3MayZmbJjaewc3CvGg5U1KhIqZA6RWqPeORx2caYb3txj/v3BLQjl37VVo9HKLJ9IOyeCeMtbQWTGWxyJ78g3awc5VraCjbPpIpL+AhXQ54DXeTfu6Z0/kzB8ONArwacZgyHpfihgkk32yW1DkqcgDfREKQjaNRcgFAl6jWvkrWCgfIQzbU9YZM3UxQWWzVZUgSYBbALcGc+eBFcynwwu6kwdiWgzBI5ZRdF2k55TcqffrbOH368hRGe9b0r7E2hveUa77v0GavyTaxa8dZi70olH+P6O2Py1a1sOkvba41OJVpaX1xJTZz6SKX5sTf1OXja5w8/4REnBcg1gpGQKJ0Nksi0QgnkOaidrsAuAjn8hUvpZ2yOy2wK+28atzqbHOhZ5tflUEVJe4si6C1ig9J5XGPr8DL+VjfBG6IooTtICfspniALzixrlj/fqiVhDYYeZ+4qsKtZvgqDl4PK0muZx50xezETz3nfY46JzMCtxuTJ2J71yu09YzV4jB/EHDwr+cTtTXo9H+pqNXvnNd+l1UUUCZ6KJBt7DF87yVMweAn0UNLiouKeGNd0kANdljbjlVaLS+kRxymtZsKbXtbnlq/WOXjGJRXsgGpSIRjYtca+RzciJHfQhPPFZZbdNHl9eIb7wknJUveWvZUDayFPqkCvGBpj+BBQct6qzC0c0DKmLhNI9jiLa5LEkKba7l7hBQGe5+dVgauuiPwfMKuWj7WCBLHWm85AnCdGygxoKvJE5LPvCvckB3fG3KI8mD1zTnRluw1ZkiVSOsfEMbnnJYxizW33NfnSI3U7HFz6FuBj7J0VeSkhqATDlIOoMSYvybav55azeZ66Lw6tXfYwc1LcViRWd+tCpmhJKiQqlWihiEcer7ou4lUvGHDicz4jbXW4q4QiwWMoQOrStlVC5AZ2lvpRObwyR8XVigty4BshCrI39js1wgWeFaAXGVWdJ3uKWTlCYMt6RfZ+yvGcTf/ni00J9OUzmQXrge9Tq4V427ZuWUmT4S1B4H97qlPnhRfMPc7eFe1dAblZBepynXRVf2dgprR8ZaAvMXYO7AzoRdlo1Tmp6m+Vp9/T0uMEKW2njgwS7ngw4F1/PElqvMI5kQohpN0HSBRp+SqDlx2ftdl7TZ/2QsjOGJBxmWIqckWTTb1yxViicFRyTS6tNy60R5JogiDl53+gw76THnc8INGBcJC1HyDWigFlQWVKsmQNTZ574W61zd6vCygzHS7cBaApRkmYMh6g8MlXNUGUuu5LCZ9KI0RZBpbY3LiT6Qc+jWbzls1btq6oa6/e2lteWjgkBD+qdVLtoyu5H2sVQQm5Wp9WkjNqdcFUuUiqSL1ndmCRilfj1YGlgDIvqLoAuMtSxaskdGyv5cklwbs+MMldjzTtpjwycCWxPp4U1CWEErfJlVldu105XAN0PiSnOowoq3mXaqxhunTeiueidNGb1ec1I4PSHEAxLvXKPzOwbjYh9Az3Px6wMijVFrgwM5siXlQcFlJgddn017MslYpxS9LLaYCik6n0u2Wr1P5iphmoSLdsxwdKv1suWrPZYE0YhCwsLH7/U08/vc8LPLf9hTHE0WrXpBjOwqr7CnO7z19m6oK9S6O8ytJElF2U8rYYVWki19Dc2Q4Dax6qHFi6Ulj3OA1SPvDJSf7mK01MTYFQFp3CQ0hZ6bcs+hufoWO+zD6VrFgVF9WFtMqN44Cwj6vd9uMdPtrNDzSOuY3RRY2KkEitSIWHHKS8+eUDnj7s8+73eURhUgBcCIz2GeG6q7L8empNbIMpQOkY1OCym9rkWMyDzYyRsWxu7cFiQci+f0MpwMwwkmb4cSxuSm/TlHBXwmCuJtzFY8MIQZwYDKn1wfsDS9U6tR9ElkBbgLwM7ALwVZkyPg65DHIzJlHKzolhfARvBeyZ3y0cwEvau8LgMi05KWVwp8hS7ckXHgj54881GaZuCr7IrEGXtRSmor3XTM2XgV4+F2PyrarD12a/bDeDzHteldHErCqhNbKU2ZQlZ0UoW5glXXGW1HbLa1/zA6/vcc9jAV94xNqFmTeOFGjjMdK2HS0vIhm3Dh1Sc7IUAkUmTUogz5oeSpo7+50MqEKCNKZCEsadL1OSKAgxdi4LDV5eaXIXz53TMJCEoT0XXpRk64BBYcYYKvvHV7N49np2lUmqIK9o8Cw1v5ZzkgG8bA+WwS2Knb3UKh2uqx74OHvLtAgwvZj+CH71jyY5fCrEeMVuyRXtnUmkCrDHAM0aYM4hXKKa8klbA+TjI/KqGc1y8VVZj6+uTdHSVRzKMosrRKoRwkNGmou3xPyHH2pzz8+GdIfuw2iZv68Uj2GWYcmKu3UBciMB7UBtyB0W5QJKI3FdSQ7MrialSPKU5G72O2XScwxcTRSavHhtvEl5NdkWwXJGQAjwtm2aQirFoN9lZWXg+iVN5curBpimBOjS1VO5KIqZ0RWZMsbmldG7a0oUXfLBS32Jjs1z5q64JqXdeZ3n7XkxSQq/+9EWj+ytWc9bZsxdOCe+qMoSJaqsna8+azC3i5woD91ci69XMfmYc1I0QFAUM7n516uqDYVl8Dzo1NKCPJVo4Y7USRWtuf7ymHd8Z5v/+eEpotSxOORRYYpipDMt7nLtJZDnEkWUspzCbtBrymwuQeiCuTM8GVPIlvFzanJZIvIkECVmF8JAvriIfJEpcGrjEa01nl+n0ZogSVO8G29+LWG9wbHDT/PQfbfgKX/NBE5Z/+S2Tvl5hf3HppxW5ElZe5c3MKrKkkKmVPdnLNg7LXR5OalTOVxgWUv54n0h7/9oi/bAtx6g87xxTbrWOSmyluVSXlV536v1d6EFq1Osiv3VxgA9xtqr8F4BuqGcACpY202FzSRJOQkkrI2YSoU02tarJIqJmuaH39LnoadCbrtXQSNxTO3eoRQkWjIkiykKkBtsaSy5bWk9bxer2rLeTMLoTG4U8iVbvQ0gTdVazacRSxCmrAJEiaEpAd8UVmEGePdWoijhBc9/Hs+9/ho63R6e8jw8z8fzZN6NnlUjjGePxvV32RuX2ZKyhv6uJnNKejsbml6WJSVJUsiUYoddC/C06ndLawXKfF91G1hKmSC9hL1HPf73RyY4uBjYNnjnd9t7WbB3qeG5AvK15ElFmoxNa1qtRqoqZZW7UGbxIrGSN0KwVhp/bEhQVohldL6prMikijAI6SFjw66ZhJ94a5ejZz0OnBIYryywBEif1IGcMZBnAlgVyLIMDY7FRR5oZhIhZ/Ex6WLhUp6TAyIdj29MQaymKlFyfJoCh6Q2ySOkwvd9fM/DsxZVtr+NBRClf3wVyMcD0BJjV+tPxphbloFeyJMKczupopwMKZi8pLuVds/HkzkF0JVKkTIhCBPOtgW/+r4JPvHlBsZXRTreSZO12FuVLsDVzkn1BI8ndcqMXpy4KuArrD0G9uy11TUpZR2eAbocgGadP9IVNWWPXfCZahI0vrSuSnsk+bnfVJxbERCW6dYOkU/GQe6SPya7d6ytJHazBFF2U4QLMqtMLqR1S0ypwcWUZYkDrCmd47XI9EJj3oSAJDU2V+AywVJIheeHZ4WQt7YmppEitRsbjY1rKFLmRUq9nDaXazzPX1PFxqGVf0voyr9TcUhUYQ3mdSdZxeCY5y2zYFIl7rGtNYnQfPruOl98oOFqTTJLUDoGz9i72DW4PG+wzCarymJLWryyqo0xd/4FrKqZKF6rOielVD2iCNxKbWSZg1LW46nOEj+l1L6RaKPca/ZxkngII3n1jUPe8MI+gUggSUBnRwwmwRhDYmCoYaQFkYZYCxIDST6kHxK3x2airbtYbEXodqtwQXHqsrL5vYY0zXa2MO4o79tZ/Hvl1+3PjLu4DakujihOWbduFiXFrfUwOKuURG7cfAmH937pqBSD/7V+/RyeisaAqscaDjLdC2VvugB/GdjabVSqK/9tpRunIjV05e/KirddPC+kSMk1UZlrYutNEqH55O113v1HE5xc8CFQlrlLgaVw4M6zlmMVjZU4ojL7pMogOaNn/1+WKhXMi1VAXwv3lMBc7AtZSJIc8NkELC1LjRESo4saFZvit50/OrUtbvFIsW1W83M/1OGNL+/jCwduUwK6STBaW5AbiIwFeeLAnGhBYgqgp5XHZbBnu8cVYE3HAJyD2AE1C6gzYBc/Ly6QtY7BMGH9+g10+tH/+tinvnT0qisvs3v0BN4A5aWEfoSnTB4RF1+LXmXh2B11S3qbAggV39u9XpEoawWWYmwP9EymqMI1kSUpkoFblgLKzBL0/ZQjC5L3f7zJvkMhtFQOapvYsdo7kyZ5nyXjHj1rd8yXgs0sHCuyf6uXzuJ54aKsleyxrK3HEj6FiyLzjF81fS+FBbkUJvfGRcbsrp5ACG2nXhnrjccjw+W7Yn7gzV0eeCLg6HxpqcqDTitDEgRDYYNL3Ag3o8t1KIUuz2tUqqrHpuul/ZkwxcqYyxgY68avVhlmDooo3WeckYU1SQrdQcpKN2Y4jAG3CdXshqvwgxrDEWhzorC7xgpeqqWL4+7ImGNCFehZcJnp8cre5qXtoTNgizy41BRuSlY4VZIl+WuWvT2VstQV/PafT3D7I7WiSjDLWDpwK+lm2OW6uxQ3UAzWLEuRirW1BvDHLfCv91burq9UFZqyfHFpbW0Bpd1sQCNK4C9lOqUwaGEQ2p5nLZR9LpS9jIQm7Wteft2If/X2Dv/1j6ZYHmTAdojTwoHcI5Eid1AykKMdEWaAd2SRvcd8z6usxMVdEMJdBOUOHzN2jvPg02TxHZTHj+RxjinIoxZ6XHHZRbzgxmvo9fvZNQqN1iam5666bXlp+V1S1SyXuCBQiUKuFDJjrOm3bO2VK//KgWEp3a7k6sSNUtbuK9ySsa6cVdWB2eOkktAZSsPvf7zJ+z7aohv7tpAqY27nmtjZfYVzUimqyk5yxuaVYqASU68J5uqc668H6ePd9TmQs5+V3ZaSXVhIlrKFOD6Z1kqVrL0tG+CpTbEHZ8uDH31Llx97c5e6TkCnTqqkYOKSXLGafOQ0eeyOxAjiTKIYp8VzyVLS5mNyxGp0JzlKcqSiwcsSxWn11Onu7PeL2MXQbNZYWlp81wued/ltO7dvKgDemtrKlz79q/00XjjiByp3hqqbfZbYVxaBY7lmO5uXXQC7HGCu9rdlpbWsYOyyLpcZoFXqZEyWyKkyt5QJ+JqnD/n85W0NOrGbjEkGbC8PMAVOmuSHqfaAjssxxh6XXKRV2bfSslnR3s8EcqfNy93guf6mupdlcRGUmpLL+ntV50858FRWn2uFNgqjFUmsaHmG73l1jysuHSHTsh4vgz0tQG6wQacDd2IyXe4CzlXBJqs0uB7X52NAr+jusv7ODxeYllY5KRWnziwe+fF//V/6u3ZsKQAOsPvaN3Ll9W9hdu4ybFXhGKDlhZm8XC9SNCCU2HksUZMzuVgN5iqwNWX3RJazlGOpeM9Peeqwzzt+fZonDoQYXxayJGdwWbIFTT7IZ3ynhrWswbVkSiWxIyg9E9+YXDHVh1VffNwuLLbgrmziWurbzAcGGZn746Y0GUtr5ca/KVLjoSPFtZfEvOfnVrhq1wjitAB5fsQO7CYPPIcaIm1BHmtBbHDgLgO+ytYZSMsOyTjQ0xKbp2sAvsr4BqMhSVKuv3Y3/+KH3soPvv3b8/PpZQ/qjRn8oE5Yq7kG3nKWkVKSJ9Op5aW7kDRCmFVavEjumOpjYXL9XU3y6MpjJVNE5n2rAtjSJXQ8X9M1kt/7eJNH94SkqsTaoqg3gZItWAF11TnJWHl87uCqsRAVsBes/gzlJ2vKkwrGS1nMvE+z8nqZ2cdqxo2d2621m68u7GRanelxDFpI931Jq8e1IUXjCcP1V4z4F2/q8fP/06ebCPAhLyLJmikRoBWpEERZG5sWNpPj7g22GTlL6Bs3ly1LApkSgbiyFud/l7YddOenEli638vPuynS/ElqqNXrbNqwjm6vvxrgvq/wA/9gsxEearUau3QyRKrx7orSoPdSkFkEmFXwy/y1aiKnkuzJXnOMnj22Oj4tAT519SgpUqQokaBEiuen9DW8/xNNPvLFJqMMzGPMjZDIzBaUhTRZtc9Omb3HGVsUwK4mc6r2YBXZX0uejLN3CRjZReBAriEfZVz1xgvAW3BLpAO8MALhalSEkTYVbox9rF3QaQxpagiE4a2v6rPnmMf7P96iF2NPmHYozO4dhFMti0DSpeptjYwFnRJZrUoB6vEkULk2xQK92gVUBnfZScnOtxZgtKbZaFKrNQ4FYXhQjeL8nOYSZXJ6K6cO33VrWJv4YGti1vnJ4wGhWVOyVBg4r9/WuVSpBKKVepNyHcmY710Gd6mwSoqMvVOUl9CN4H1/0+TX3jfB+UU/r+0u15rYQ5TY26zKVq6a2VIu/2UM7OXnY6xd+Zl4ZnBnqK4U7WevVZ66mZFjAWbFH88SP1QlS9lZqepyVdmq0I6AU2yc1fziD7X5wTd1aYWJzcaYtKTHnVQxKRiN1laPl+VK7pM7yZEY55nnMsVtsLVKqlRlSJYsSvUaXnim61OIYs3GDXNMTbY++Klb7rz1Yqe/Kwxuv50Aoeqf9TzeWAvldcboVYSU2X/jdmD5tXIKvpAvBWvnhVa5911lbinGAszMFhSl8leVImuGv/lsg3e+d4KzSy6Zs4q9qxlLX5S6iMTYPjuUAD3O3CWfu2JTlU6PGH/xG7yVM5oF+EX+wtqpe5sqt1OlhN1GWxTAFqbwxIXIWBt3n8kVy+JojzgybJpO+cUf7rDYkXzwMy2ouaVjFZPbm0YSY+OCQJSKrlwmNmNwHHtrZyfm+/3kRVglu9Dt7WMND5EbH5lEyc+ZMUjlY5CPTk7UP9vtDSvnVJafXHLlq+me/Zu76kHnwVrNuBELa1l/ax8qK2kVVm5kAC6z83hjcBXcDsiqxNJrgFvKFBVqDp70+LPPNDkzHxTgFmOHlAinuTPnxHOJifFOnXIjdA7m7HxWnjh2HtPfX6cqycH8jD8ved8VO6x8IeT3RVaz6qqUA88i4MxT9yUWT0sOSxJJNq1Lefu39tm1LYLIsXiW6TTlINQyeZbatw6LS+nnh3BMbh9rM57aF2vahuM2Yf7zEuPHKcTa49xy9ODvfuCLd33Xd7ymch698RO7bv1GhBCcO90nifu2IKb0JRcz5FYnc3K9vep5xuC65M5kCZ1SQCnKoC/JFFHOWKaoQHPotMd/fM8UX36oZhsoK1532fu2nnc2BsKTq7X2WsN8Kr9TGvd7oUrCTKNULozx3xdruyTZVVHeC2fVSLfMH3eeb+amSJfWFi7AXKsoS2CXeqGlSxJJhMZmo7XMQlZSobBJa4MeGl75vCG/8o42v/SeSQ6fCSxDQJ4AskO9M5pUGASJe/9aF25V1pAsc13uMptZ0EkWVFYbkcuJoDzApHhusHUp9VadLTu3o/Vq2lgF8IlNb0IIL5pf/DCit8cB2f5z425KtWJwdWBZATdrBJhSrwZ4BdxpSa4418TXHD3v8Z9+b5KP3NYgEm43KlHuryzALbHsXdR5r7H9tjCrJAlrgDMHcOl3KtLtmSi5/MO16lFM4RysKhbPSmhzR6VaJ04G+kpms2iEkNpCWAsLcpFnQjPAF1FsJlkSbah5CW/7lj6phl/63UmOnXfOCmPgrkgWezFlKfqst1NTOCtZV1DeiS9NXkVoR/MIJ1ecCzcG9MqpMXDFro3823/+6ihJUt77a18D4NLfRFBv/OzMuh1Xxv2jLx8Nh6Uv+0JAXtsSFELnbF3W4msxt/1Zmj/PrMFKGt5LOTbv8/O/M8lHv9Agkm7rNbHWUc5YlobXu5O4pjRhLNgsIXfc/66Aepy2/xa3cVyX68JXp+3tH8329skYfNwrz/V3RYeXQe7Gwbr6f+3AnTUUJwn4Xsr3vHaAp+AXfmeKY+cD3BzmKtK0scLZZYs1gggrJXwp8CufxY11w0pF4+ppss9baPExoLvTmwE+1Zpms8kVu3d+5YpLt/1sv9tddV7l+AuNRpNTBz7XSUxr3zCup4l2AwVE2T0p++Sl4DAHZ8a69neL/7YqQyouSQncMge3zsEtVcrpJcUv/u4kH71tDXCvsgXtSfNltUtnLfbOwFzeNwjGpUgV0OMBZvZtV0D/DaB7PMAc98WLFwU6/10L3kzuaKpD9IuKw2KbvnzOYabNdZEAMnkFosqTQUki8VJ467cM+C/vaLNpNs4zm+UsZ3GUdbnV3ZFzWHKXv7klqQAAJwFJREFUpeSm5I9zLV78vHBMspJgp8/d6fAVTE946dx0Y9+f/tWtnebExNcGOO7kjYa9dyRm6nGtlQNbyfXIHo8laDJgC1HIjWp20hRBYx48FrIkDzJz5s6G9WhSX/DeT7b4yOcbRKoMaG/svgRusTpjOa67q7q6AOha4yHK/vda+jrPZArxjeK7ms1cldSp+t7ltH5uCbKawasltkXnj9Hjmc1qxjM1Kq8f10ahU4mXGt722j4//MYeXpoW9uGaIE9dqrUA+Ui7ANRkmc9yLbmogF6Ppe/TCtALG9FTko2zjcc7nc47LnS+1wT4jt3fijFJun7TDlOvp3mnTwHssaIoqS/orogx8JeBXq0KHOuCzw6lwRPceledD93aYCSVo9oyoEvsTSFNin11SoCmDPSsoxsq++2IMZCXmLqstcuAzn5hVZns1wPu0i9WZEqJ1Ve5JgjyuvHKBeCmX5WBXWqOKAefxX1RjGUZPEvnl9g8lYTa8N2v6fMtLxwgUl1446WirMJpSUpgt4Fw7DzzkRHEjr2z9H5Wz1LUk69O35c99CSFKFXs3n2JGUVJ+n3f9do1z693oRO/45IXo9PBh07Gj+3ud843GdPdRee9WXVUf0+75T9j9uL1Qq4USR2RJXJEivQ0woNP3VnjZ39niqcPh65heA1glwNLkWUrxwPLaiKnOg7CMJ7BzEBcKd8c0y2V1P0YqL8muMfSmKvliSg8cMqB5ZgnnnWwVxqUTeVeV/Q4kLsndldhQeGwoO33qrWyga8AYQwmhWt2xfyPf9PmZxR85s6G1ePZVE4r/O2RP1buBNnNU2KclAJSCm2uXKreavBs3IT93DabafLP6Wb4s2HdXO9bXnHTh1rNGv/uG2FwgFpru1lZeOy365NXL4BelWms1I2UPO1qDUn2PF2lucfBLUSag1sJO8RHePA3d9T5+f81ydNHHLhXed1VaSKkCyop7cyQ6W/GQf0McmMtV4XVx5psPcbGz0zda7w+VqOSOSXl5+N6vZKyh1XaO/fFy3q8rL2ddMnlSlmbZ2W2WqEjyZU7Yt71k23+yUv7VmdovYZEuZBsMda/NhDlkqVcqJVpc+edr2J0kbetvfjGyxbuuPep377ikq0XPNUXZHCA5tR1JPEy7fl7kWbFacsx56Tih+viZ5nPjWNx56rk/ndJowtRaHLlak7w4G/urPPvf3eSJw9dCNyyYHLHtH4uTVYP78m6cCoDNL8W2MuYHbMQ1ygeLKH969fh4xN9c7Yu/byoS7GsnmcKK2xeeOJGrMXmVmcL13lfdlkw0jK7q1PRzp4RIovqiioZIrjm4phf+5dtjIFPjzP5mjdN+Ze0FjkbpwJ8XD27S8IVxVcFo+d7aRpYP9PiRTfsZv3s5DOe22cEuF+7aCTM4r+YW7/ur1bmF5qg7Hy5NTzxcWkyLkdEZgWKaiAqyj63SBHSau7P3FXjF35nkqeOBGuDmzH2luO1JlkDQ6nmhCp7r5IklYBxDMzjYKfa+JBdAdWnXxvi2UjuVfKEArh5ViO3Dsvyo6zRC0elYHmTyxJrE5bAntmGmbvizLj8M0hbc40EYRSpznwiIDJce3HMu/5VG23gs3fVC1989acc+4GdU26wLJ25lZ4AD4HO7EMHdCFEbg0qbOXglu2beqkR/+LyXZtHf2uAS87qxuSl98O3t+fPvqdZC/pIWXwF4wC320WP6e8M6LIE8FyWFABXIkUojVGCz91T42d+a5KnDz9TCr4KbimKhE7ZDlxd511l7zUTPWRgH5uNV+rmKbBbuOIVVi9+vOq1MRVS+oHI6Xq8lLYadJbAXb4YdOmfcH2cggLoFY88m3HotLgVvdLJZ2tEi2z7BqfJJdk22TZdI6KEq3fG/LefamOM4Na7a6QZfvM3r12psireqJAUZrpzdyi0uWfcqDdMXkqb/VVPCGYbHv/yn72yfe2VO+4/emZR8wy3/197Xx5lR3Gf+1V1913nzh3NjEajfR8tSAgBEgghIbOYFzAx9gGbPOP4PWxMDI5NSGKHJDxjEp7Bfg6O42fi+GDH4Tg+PqxGhhcCkQHjAAKzyJIArYxAm0ej2edu3VXvj+7q/lV131m0IEFc59y5fbur+96596tff/X9luIjHnSmgTsth6Rwr2ibckotl+n362yH1pcETVG5j+tatpIALUa4OHHiWIHllhbDhpfSuOnvGvF6pwJ3sDIBMyeXinNEGTo0zltf0zIO4NCxg7gl10Ee3xcN8Dq6+Hg0wiQQ0/1kZ8zBCaJ5K4d7GG1Ij0Gz2lJQHh5XV7QECaE/yyATSKpYlirD4pk13PUnfVi3ogxLeBEnF1RJGYGXB2k5XqCqVAJ+rqIQXclQlQzDHsOhwRrOOXtprVx1r2hvbTrUMXPSiN/riAB3UjZEZSsKzbP25psX7IKdhmVVfZpiVqGizpzYhFSPDgz1bvWwBKTN8MTGNP74G0Vs60whLDPF6kwqocAOnZrAzM6h3ssk612PssTLriUCmgLfHAFRl1HBneS+Dz2WMPk2C/m4KSUKJSMakqEEyd8ElRGhZf/IUCenE1NVX8XQzgP5UFYZOmbU8J0/68MFK8uwNJ1chdpSWdEzBoAIHv7nV/JhlciIHoCa62JKG8OalbN3LVkwc+/G3+yC5aSOHOD+j2rhx+uf7vz58/a1m/auxeCQDSl4TCIMFRGmA5ppaon/YMHDYgJWSkLYDP/xYho3frOIbW+nIBM5t2HFuQ5uiyXX8x417SycJMcxmjjZNCy5Dl6p9fOP14e3jG0EL4kZpxQkegcZAV8YNAXEapOBYRbujEDONWtOVRQZejcV2K1wfwR43ykkKwwd02v41k19+MDKMrgK9ZPEmiNJVVGgVyD3/5so+tD/P1IMyFkevnR1By48re/a/q7HOm1rVPiOzMEBgKcXon+ghFQms7/r7cIv+/dtX5OSB0NwRMqJCNWSaJ8MgK0mnV7AxYNBkJbY023juVdTuPV7BWzrTEGmRtC4ldXmUSBVSE2AWHZOXZoCFdcgEwCvD4IQxcSbGRbVpHSFDI4w6g368ZFaiGkZXUgSPh5K4gYH9yeojPSRBhdHOMn0QS0jFz5X3F1NMH2ZNQoBYAFX5wH3FmBWpLrA3+XjhAGsJrBwZg3fvqkPX/kngRdeSWNPNwBlZAUC/m2ObPIsA+MVhCSENNHzsHByI+bMOPOX02afs7+9NgwnlR8V4KMPAQCNhSyqfU/taGpKf3vy9HlIOUMGDyc0RcuM92LWW1l5Ky2xbZ+D275bwBe+UcSbe0YBN5UFgwmdFQJbkpIPetljGlylQDkW9SRm7RPjTJimssTMurk/Cdims6fOTx+DhBZzYng9AYBya7W2D6LBQF34ShOXklATYVTIIrEqKk5F1LHkC2bU8A9/3odbbujH/Kk1oEKtNaUnpsdTHRPhlyECLXxouIbTTutAKpP99v2P/eeOsYAbGIMFV63QMg1A04s1p+th7u65vDywAyysXBo5dBiZdILGd6sgKkjwDLBjn43b7i7ggSeyKHscSI8GblpX0J+Da8tss4RoQcRVknr79PDXCKjh7gQffERdGEY10eNoMVDHPJMIK49RYCu3ox94FYSghpZd7QeJPARRWiKPJ0eUxByk4gTn+MAPYlr1MFmlZTCAuwKTmj1cfekw0imJr/7fRuzcByBNZsuMTqcV/5LR7S+09gzC9bBi+VysOn3+w8sWTX/xQPfAmL/LMVlwAGBsPtxSf6fTcPEXy97U9R4aARAqElhriwZS0ehABf4UsHOvg1vvbsQDT+ZQxvjBrSRBf0JJYks4oSMw6IZ65tB4tcm/1RqOSQnGMU5uUhRGAH8kSCbnmgkPtLuuouiTynBfQvxJWMuQWn4l0VGLDhWfQiacxJJHeZw82ZILDq/MkBYSV1xQwleu78ecqTU/GEXUUVPM+BUEVlxItBQzWDitaf0ffmTNF/cfrnYuWzjn2AMcAJzcXAwf/sWexomrNucb28BYDQDJoQzd7S4YKe3AAh7OMwxv/dbGV+4u4P4nAnDb9cDNowePUMkZ9CW2oVtvmmMZzhMMcKpFXlQ/xI7HwR2jJdrgN/A5TmuuuLfGw41nWgGLJh/T47HqtFK/nq6wEFAblWpVMc9IeaFpbpzQGQJ4CnIlI7pAFgIfu7CEW6/vx8y2mh9tFcqDCcoKCbcFANSqWDKjBR+56LTN9z323J7TFkwd13c7ZoqiWq4wGXBm3ukOb57jDg183JYHw6VCwkkkVLKDD35woCo5Xn4thbvvz+G+J3OoIsj8jYGbx8FNUGNBxZnEawqaNb1jqWiIQByL+6bbBOSaRTastznRpBgfbwuBqNEPpZgQcDMiISoezqTGr2XQIVw/HogKWwagF5LBCp1FKnkZfmFNUmNFwl94lkP6NIbRu0WQ7Q8evo8/kvwnzgHP9ZC2BD5+YQkQwHfvz+OVN1KoqIwgSH+tIBZMMFmwDQbAwpzpLTjj1Fk/vXDt0ju3bNs77u91XBYcAFhqCfr3P9pnZRZew3nu2VTKQzpVRjpVgW3XSFGewFtpAyVw/POjOVz+Z034aZiskARuBi2+hFN5UE8cVqsKaLVNoKsiXIUU0FBYlVMK6FYbgFbckYA9Zt2NSWQSoLVk5LGg2+gcr1moXkeWW2M4RBo0LXp4HWrhY5SEOoS4bskDK25acpO2RM4iaskteB6H40l8/MISHvk/PfjUpcPIc0+nK6QsBXcr4LUSMsxFoSHz7Jmnzr7mO/+yoW/VqXPHDfBxW3AAKE65Cu7g08OpmVdU39j0HWzfXUImzbF6WQWFnAjXaGEOMOhy/OiRHP76HwvoHaDAZgngrqd9I0ocDqiJTaU/6LREiznRZEFDHaHgNagIBXFktWmsic621eJTcaTXwbSa/I0GckKNpJRQRj3JZR8CmCXEqTCVxqaDXEqfKTAuQz7ue+59cx9Jgr72yOGvrgzOtTISjD5DQMAKLbkfICVgc4mJjR6+dn0/LEviX36Wx1CNAXZwexFAIS+welkFDhMYdLP47NUXVznnw3/52UuOBKpHBnAAsPKLIYTY+J9vXb7qlq8/m503eR9+cmcXGgsiRNn2AzYeeSqDr93TQMBtgpkng5tF4A4nlcRih6tPhFKgXrgnDAijIAbh3ibIR3hO5OIsAv1IeGZ1jxhghglSsl+9No6Fg4BED6qBoGKrlZOHyYDwJCgrkpEsfSgt3V+ekAvhX4dHVh4hvw80cfhZ+grsFgfABIT0QR6OBSkgXInmgsDfXDeAjCOx/qkMdhy0Q4A35Vz81TV9OHVaEbv7V5QaJs7dyNi4iUaE0yM98atf/QY+94XbfzFt8pycw95a8bGLttgrTi2DWf6Cos9tTuPLdxXwg/U5DJRtYrl5AohNYAeDAFEQlcNVMFUAdE7zLPWgKossv6Klp3F9m9IXHgRs0cwevy8jXJ4mP6h1ZVhwDRZtc6YfZ34xHqadF797jOh5hTF5RtJ1WJ2+9H1oH6kN4pjjC/rxaILNCI3T72qMRf5c7S8jr6RELgOsO7OKxR0edu6x8M5+C/CAgT4bb+/LYurUs8tnnfPJb7U2Z/+6udgocYTtiAEOAN/8+t/KL1yz+pdL50jLYv2rntg4YB3qtbHngI1b7m7Aho0ZeJLXAbepntBgqiivUvFulTxspqBZpiVnCIto6qCW0FZQ4xEIOKdANQcAiw0CX45k4XlqIIQDAEcAcB6nVap/PHadkUHA4nedcL+MAJh0bZj7zJWFo4lE7I5GQKuoW0TX6GBIAHlwK3EcibkzPcyb5uGtfRbmT/ewelkF+cZFVZefeufW7T1/s3L5YvdoMHrEFEW1Z36zvzp3WtMdDz3dUX3m16XbbvjwO3xvVwrP/Drt19AIMw2SJpR1lJPgC4lCYKO4bqbAGlo4urKbKltRP0KQkV+iLi0xwRD+aNB/YbpF+sYPjtAIzzYjCcMulJYkUJSQboRxpQxCCjAWlZ5glLeH50l94ikQUhufZksS16IUGQ4uRcjpOdkPBCxFAhz++pzgwTYiuuLPLTwI1/9c686s4twXa+jcJ/HlT3Jh53O3HRx2/i5r7a4eLT6PnNwE7Zr//lls7mSl6TNOe/jmT6+Qy+e7ePl120/T8BiiNeH4KOC2InAzVWItqmcSrYJG470jRUW56cNtDdgy2WomgBoE7NSCgd6WYQI+vj0WbNdr1LmjZ9uHOTUhWLX+ZqShBmrq3DFd/YHmDVICDtFxWvIt0sqpiz8pmVm5/S1SmD8qFSfVMuJcApbE8gUVvPpGHju6LpHz55z6cMeUodLKlZ87WngePcAB4KJVs7Bs/ortH/29hdd348Ni4+uNmDrJw+mLqshnJCI1ZCSaooM7FTw097sKgAfJCaGcFSOAF9AtsgKiuuWT19COGfu0/5zFzqGdGD1uWN0YfhOCT+Iey/gBNbEE1bPpOUmgJsdVjZUQvDCXKTSdR5Gnk1aupTEtgng/w7hxWndF+r/icIXh5ddTeGcfx4qFEn/0iXXiUHnF9bzhrO291cXHAppHT1EAoGPeCkj5YhW45J4NG7tzC+Z133XVmpcwf6aH6253sP0gDxZgteMWm9ISYrmpG14v2qMX7ImqVMkYgE2KkURBNEBSmlHnGAV0LMgqtj32JkfYTyuq0shCmbAPjIA64LpKjvSTIkhV2uDaEv73GR8AgcMHygmk1BAVqssBLiAhQzWFB9qhEP5vIoK5jxAAmAj9ODYX2NcL3PQPTZg+SeCW/zEVl52T/9MrHzn3nvant3gfWnfmsYDmsQG4/2OvQOeeA971n7h85yc+2D4w0d5XeHNPp59dx4P1KZlt0BUemTcFYsQz4rUV0DSQq4ccgX4kpKOFnzlupaOPw/TBEp6jW+0kpjLuZvBwc79KQg6QGMiACC04U9uMXCpAqWCAJZWFp55LSQYKC65DODdDUL8QwerFPuCBKH4FALiSE6UI4q8IyIMgXAgeSIV++C0kgxB+qc5q2cIrWxdiZ+8lA5ececbODVP3ew3FJccKlscO4ADQ1JhFY2Pv+imtZ98ghrq/9diDjzTv7eeAkwnEUQVoosURcCtgKycOpSam9U6aCCYuuZ0wWUxSDoA4aJOsuPZa65xs+cfSwkBA5U43AMgI+KPXagIZ6d6MOn0YsdCmdWe6FQ9rHArmTyzV+4CF54pgCRMO4h0FSKIzI36fCOS+0weQIog8ZRwCErJioTlTwh9+KI0B+/zDZyxfdePGLYPrl8zOHUtIHluAF5uKAIDBwUP35gqX2MX2wp2T2n41cU/3UBSnoH59giaGwHKTSWU4eaS1A0F4OLHeCvgKVxGQdV03pp4k8W3y8Uz+DfN1AtBjuB4B6BS8+gHjvHAEkP3E+RN6N1kUvxIDMAOY/6eOFQ8AHcaqRHeCiMIEpR6UQwi+VeYyWIiWi/AOJMI7YFBgKLhDqA9crnI4qXZc87H/1lV11n4ZKN171tKR8yuPpB2TSabZGhpacajP+uG1V55/8+c+uqSrKaPyqhQ9idBEtW7NU2lQkVhNQSS45DXrrIfMKqzpVCWuISt6Ep4A4yLqOprCC6P/UXx5Mr4dkw+pakKPhwFY0clJk80ol9NIipD6tQSic+Ll30AGip7LGUuiENGE1N8HlMsce/vP67Ibf//mbEb+sLGx9XhA8fgAHADaWhqwe+t/3HPOkvyXFs1uOWwLD4wAmyEANJTOneCRjEUGmlw7vhJDMg2JUxXq+ACAkTCdZPFpX3ObCtXjK8Opg5kGWYVgJuAO9yu5EAR0oEFZhvSn+hkKiZYFROLFk2RAaeRy0oVok86LBoAFQCDX2H541/4JX3p4/YZ7nFTxeMHw6DyZo7Xv3/MTsGkXbWouFt5uLzofPNBzOF11/eKYoVqirDinsd3E5Y4I3GpdHcXDE13xXKctsVUcQm8l0/bp28zYH3khwzsGJx5JzsgxBs51L6buwdRrHVIalOzJ1FUgaMeYcZzp9ArQXOk8OBDegYy5SXRHk2SiLcO+UH1JTE9kMEiUpnErUyzKsgR6BwCXLR1omTj5hkWze3689IxPH7EbfiztmHLwpLZkSl5Imf9pag5zF88Z/tE3f3IoY2dSSAf3DhUgx6CD0dL4szRCXqNbT+JE0nwk9aEdol8u0sRHMLy6Ja9v1tkI11BNYyR1OLkKcAp7h7IJApWF8OiI5obX9Dk0WdMegdeTTkgDQh9uK9WF+ZWmuArkgq+6gFh/Kh0CCArWq4hG7r+/5YGhhje7Ti1PKM77TLbQ9kDf4NCIRXuORTtuFEW1m66/Ch9Yucf7/GfwwKSW1qvPOqW9nJVVNFgyXP1C/XyRF9JIYODEO4lIReEsCcQ6jaFWyqQl2rkg2NQGC4v1Be1ngP1IaLgc4YDmuVSdKTenr6mzh1AX7T0oFwd13lAKE9AVJFAW6ClvgryXNP4RFgyWWs1Bpcrg5OeV2ye1Xf3le+c+cN+vDnmLTv+D44A4vR1XiqLa977/GH4rL5OvDaTfOGNK8c1pTfal3T29zuGKX7HICirCqsCp8MFhcHBCPxAFUjGGESlJfLLK4n0N6kLpRxItCQOvQjrDyHEjwnAkiqLuSGSw1KUqasAa+8OJcfC9IHa+GqQk8Arx0APN8wp9QGuT6pCxsPhnDLb9dVJdSAgc6smgxpYM29mZn1q47O0HPrl6QKxefcO7Ab13B+AA8NLT63HtFVfh1hu3bEV17u41y/su3H/wQOatvQ4sx0JaZchz4r3ketwJBYNZNZZOQuuD1wx1NfvqkX6cR/voMU75dwBmXhfMyQAf9YEEUBsPoM71yH4wpt+JDCDrfQj4AdI/2qb8LXwfsDjALQ+FbAmv7BTYsOmUPifdcd2aT/X/9OPr5mLS3D96t2D37gEcAJ74fw9g9apP46LVg5tnT2nZN1CbvHbLW6VctVRFzuah1dZKQCjwgljvRHAm7zOPUwuqTzoDa2y8Ni15GFprgB0EzPwIAA5mWO5E4OpOKW3iGWxwClgCONonib6ZEmkE/CC6O7wLRE2tvkeVMXUxDheZXAHV1Jru1/YvuLFzkP/4M7+XwYUXX/1uQu6oFNujau8cOIx0yr7mhw8/f8eDP9sw8UDXADxphVa8XuyJZnkxuvWOg5+F1lk7pllrYtE5vUvotMS05FHSBAU6CweCdozHP5/FoR2job9Rf0kGmopxl+T/idYp9VUlSY4bx+hqHerccJU81d+vQ2kuG0nPjZZw95eyKVclmN2EmfMv6GpoveAvpKj9gDttJwRnx32SWa9Na29GyrZ/cN2Va26+5fp1XVOn5lGuuFAlj5MKaGrAhj45pA8YzxSEcRktsmzhX8PC+bsiW8DoGxjvl9QS1RQZP3+kgCstmpCZ/iCmTzZJH93JQ7RxOtEMVRNjwhhObBnRyKHr4WQlCT/gqoqKyKGSvrwr23zpzZ5InzBwA++CTDhSKzbmIOXAPResO8vd12ff9a/3PTvh4MFuSEiiUxurMcDkoIh02zp8FTCAb44Ges1wn6GIKAmPkFIZXoZFt/ujuSeG8SKIxaGYx9X/oW1DD76inzOKc0mQBBG58v3TotWJGaIgK3pBP3iQwU9G9vcJYcFOz8CMeef19MtVf75rL37UMevYxpaMt51QgAMAYwUMDlfv/dC6FYf3dh6YW67M+vpD//aC44Ej4zBYFlEGYueSbfJsblNOq0uAMZzHrmFeXwEn8dxxgjtJ99bDUHwtmd4xTEArLGtBWEHwFaQM3DSqnkkI31DCS9wGC5czkeF7B9eTwfcYZPRziwHSgyckJkw6twae+lLz5LU7J9rpRxlLHyfUjL2dcIADQEMuJTa+sm395//npalnX9o2XJHWd//tqU0MYpinLN+KeOSWSls0CaqjNFCaofhu7Br1wW4ejACZMLoS2qgWXWLUgUEpivqfkk6jfWLHA41ceSGlCryCv82IRWdMGoNGbyqjx58Ye8jnbdHQslKmG075fL5p8T8P9++vNrYcm4SFo20nBcABYOXyDmx4/vXq9GmT7l3QX3uqPFy6sr/7wN/u3bvPX5jUZZpTKGxJVjmBziQ5aGKDgHB17RqEgkTvPzIyqXt7pEaDpZLGTrx/YGkRWV21XwMmDcQiNC2kKCwozhlcTzDljZT1oxzJXaRa4yhVgObWGUgVJvyvYvPM+6z0pLdF9e1qY8uy4wuWcbQTNslMauefvQhnLJlVGu4+uK2heeEd61bNu+3clQu8fM5GuSbgeqg7E4tx8+CPAiidWCaenUAVtB4jRUxI41rjbWYE4WjRGXWOR3c4ZnRh4XE90IrWL9TLMGuZzYjulH5ZbBeuTMFpWOxV+eLbZp4y7Y7f/rZ/W6Ywv5RrOnnAHf3nJ2G77/6HcOUVH8H+A923v/jSk396z4Ovpne/NQSbuWCMh7KarSRFDiKf6VJfvOwCtDINifIgUW0ibyYjdVPodakEGPVlnF7LlBBhvIceNBbJgwmZTKQshtrWJEJOt6UmL6pJuS4LEpk1kP0sy5f9bC7BLQHOACEk0imJgVoDSvZ5lTVnrftmrtD8V09vWI/zzr/sREMmsZ20AAeAnp4BNDX1QYj01375Yueqv//HxziXpVXb93TbgIOsw2BbfpSh6daPeRyhgzzmuk9w8MQGiQbOeh7OIwO4VnDIiJo0+3Aujc+foIOrQWAAWG0DSAS5WoLd4hKWJWBbAinbRaVWRU20uxOK6ecmzPywKPMFz71zWNy8usNBOttwoqFSt53UAKdt/foHkUqlCn2Dff/04m92fewXz/VyrzqMfIbDtiJQWCOAG0iwnMx0vCRb83oAp5b8XQM4tcicWF/NupvOnaAfD+iGNugjkFs8ArltCThWBQ35NPYPtmHi1At7c9mWDterdC05ZfmJhsSY2kkzyRytXXbZRzHUv3UgV8j88aIFs3dU3c1L+np7Lt+2bSckt8DAYx5JzX2M+ooG5eaJikp98v6uNjNzLcy5BFFOiGTtTxZVz+AaYWcZ9QHzl7PkQTitBDxXwq25KE6ei1xD08PtLStenzl7eS2XtYc970R/E2NvJ8HPNv72+vY9KBQaZm7e/Ma3Xtu87fJfvbAZhw73I5u2kElZWmSe+c/GaQrT3eY8zq1B9gP1LbjP1Y+9BTfnENQ1b+7TKEosjCFKSggHPfl+LEvC5i5sqwonXUSxdSkmts9/ePLU+TdWykOd+eLME/3Tj7u9JwEOAN3dh+A4zrzNW3ed2t079MUXXn5j7fZtb2JoYACO49+YBNEVlcIQi03h9bJ3jOhCA/jRYGHG4GCE08dDZJMAHufYcYoSnzdItZKiTlO4AfbwWYYDFNBlSU8E8qBw0VDIY/bsuSi2LHpG8sLfNzbP2SSFu6NYnHCif/Ijau8ZimK2lpZWANghpdwBYPNQqTb5A6sWfe+1TW/Oe23TJqtUrmKwxpCy/Z+R5jdSh4lq/kumaeSUmozZEiTcPZLOpd5vRSLq6s/mucE1JeEqSgfXcjUZ6RP+z8Eyg4Fb3rY8DJY4JNKYN3+5N3Fyx46GzNB1k2et3g9gGxvLBzqJ23sW4KoFP8C23p7D21zXuzidzky95IPL73/hhScaH3nyUJ6JIYAxlCoSngAszvyaQ0AY9xyGlzAQ/k0K/4wBsEd6hI16ZkKTQdpYEA3FAK38Q+g4IiltSn2xuIDLGCplC54n0daaxYHqtKFzz1rXX8i4VxSaZuxl3Op8rwPb/H7fFy0ICuJAX3HLlp1n9/Sz7+95a7v76ubtza+90VUoVzykHYFsCkg5XFNI4vXBmcblmUFd/H2UWwOM8WiSq57NcwOeEKMoRMc3w2NNiqLOh8HRlSzo10aXGnWxLQ+5jItcRsD1LPSVJw00ty06PH/eHLuvxK4ttsx9flpbQ58nIGzr/QOLk8qTebQtSDAQ7+wd7mlpnf5484TGjicff2juNZ/6g9vPP++sLa1t7a82FYvlCcU8LCYhpAiqOimCrp7Movf6D57kSNTiZBiiWMTw9qD30+qZmBcdBV9KMVH1SoQW2qq2JSAFhJCoViXA8sjmCuXW1uZXZ8xZuWXtBVfd/sCDj85NZxo7pk+Z+niDPdTDGHtfgXsMX+V7v23b0YmUY7P71z+LbMa2WifkvwtR6di5q/PcHbv3WeVyGVIIAC4cm4MxDosz2BYLa1kLgv8w1xLQLLpvhX0LbgX5mTwAOpUsY3EuxIKrlSmSVBSQiSgAPzw1kPQ4Bxzbd3gJIQB4yGUtOLaFVCoNJ9vutU2a+eyEptQ26fVfD1nxJk5fCylc2dw660T/RMe1ve8Bbrbe3j5kM+kJBw4e+t/3/+zfUzt3dXoN+ezp+Qw7Y+fbXejrHUBj3kI+68DiHJ6UcF0/AClc1YGbKWHB0uIWg2X5A4STgaBHNMZrIXICcNsCLEtXS1Rf2k9IoFoDaq6fIJJyamjMu7CdHHiqHYWc/LUUpZebW6dbHaecX801tPyl51Z7Co3Hr8jOydj+ywHcbI8/8RQArLW598HNb/Vf4ZWHFmTtKva+sxscAr39Q9jXVQYAFPIOMik79JMAOsgti8G2GWzbBzl1sURAZ9qkVSknFgcc239YFuHfql9wnsU9ZFNVSEh09aQgkEUmY2PRgtmY0mYh32C/2d0/6f7GBvvfpZTPnLJszYn+ik9o+y8PcNV2vnMYAC524M4dHuwRj/78ETFj2oTZ2YbGv3jyuU5kLBuyegiHe3rBOUOpLJBK2Ug5fi1sISQcmyGTtpFJW3BsPzrP9YLwUx7xcmWNhURwd5CwbY50SiKbknCcYBFg4VMPyBqGShycSzQ2FrFofjOAYfRWZmP/gYE73Grv7ssu+zBvm9jIszmxE8DjjE8+0V/pSdF+B/A6Tcr9ANJNe/buX/vQ41uRhlXrmNXwJ+WKuIgzYGCohk2bXoXnljAwLNA34KK1yUbalnBsF415iZorse+QhGMBuYwFxuAn5ALIZTkcS2D/IRc1V6KQdzChmEFz0UZrUxU9/Qy9gzYmtjRg6dKlKFdt2DZQc9kTbcXBu6QccNzUcjiZGc9IUeldNP/E5T2ezO09r4Mfr8bYZADoBfAIAHR1HQBjeKNU9iZxBjE4XMGezl0YGvRQqgp4ksF1vdo5Z6+4VbhDH5pQqNRK1Rpqb3K0NVloavQrdPQN+u7VCQWOtuYqXtvhYWiIY3Jb1mlrKf68c9crtxby3Bkqc0hmI5VuwKw5i+FJBxYHdwU/yIDd7e2/s9Bjab+z4MewPf/88wAwaaCvqzihoSSHqhW8tNXG1FYbzUULUgI9Ax4ggeaihWltZbz0hsDAoIVp7Tk2Y/qUPinlwdNPX3mi/5X3Tfv/Vu3Xn0mVJM8AAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTg6MDk6MDErMDA6MDDejjf8AAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE4OjA5OjAxKzAwOjAwr9OPQAAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 13383558
    {'hecke_orbit_code': 1580598297052, 'n': 1, 'trace_an': 96}
  • id: 13383559
    {'hecke_orbit_code': 1580598297052, 'n': 2, 'trace_an': 0}
  • id: 13383560
    {'hecke_orbit_code': 1580598297052, 'n': 3, 'trace_an': 0}
  • id: 13383561
    {'hecke_orbit_code': 1580598297052, 'n': 4, 'trace_an': 0}
  • id: 13383562
    {'hecke_orbit_code': 1580598297052, 'n': 5, 'trace_an': 0}
  • id: 13383563
    {'hecke_orbit_code': 1580598297052, 'n': 6, 'trace_an': 0}
  • id: 13383564
    {'hecke_orbit_code': 1580598297052, 'n': 7, 'trace_an': 0}
  • id: 13383565
    {'hecke_orbit_code': 1580598297052, 'n': 8, 'trace_an': 0}
  • id: 13383566
    {'hecke_orbit_code': 1580598297052, 'n': 9, 'trace_an': 0}
  • id: 13383567
    {'hecke_orbit_code': 1580598297052, 'n': 10, 'trace_an': 0}
  • id: 13383568
    {'hecke_orbit_code': 1580598297052, 'n': 11, 'trace_an': -40}
  • id: 13383569
    {'hecke_orbit_code': 1580598297052, 'n': 12, 'trace_an': 0}
  • id: 13383570
    {'hecke_orbit_code': 1580598297052, 'n': 13, 'trace_an': 0}
  • id: 13383571
    {'hecke_orbit_code': 1580598297052, 'n': 14, 'trace_an': 0}
  • id: 13383572
    {'hecke_orbit_code': 1580598297052, 'n': 15, 'trace_an': -16}
  • id: 13383573
    {'hecke_orbit_code': 1580598297052, 'n': 16, 'trace_an': 0}
  • id: 13383574
    {'hecke_orbit_code': 1580598297052, 'n': 17, 'trace_an': 0}
  • id: 13383575
    {'hecke_orbit_code': 1580598297052, 'n': 18, 'trace_an': 0}
  • id: 13383576
    {'hecke_orbit_code': 1580598297052, 'n': 19, 'trace_an': 0}
  • id: 13383577
    {'hecke_orbit_code': 1580598297052, 'n': 20, 'trace_an': 0}
  • id: 13383578
    {'hecke_orbit_code': 1580598297052, 'n': 21, 'trace_an': 0}
  • id: 13383579
    {'hecke_orbit_code': 1580598297052, 'n': 22, 'trace_an': 0}
  • id: 13383580
    {'hecke_orbit_code': 1580598297052, 'n': 23, 'trace_an': 72}
  • id: 13383581
    {'hecke_orbit_code': 1580598297052, 'n': 24, 'trace_an': 0}
  • id: 13383582
    {'hecke_orbit_code': 1580598297052, 'n': 25, 'trace_an': 72}
  • id: 13383583
    {'hecke_orbit_code': 1580598297052, 'n': 26, 'trace_an': 0}
  • id: 13383584
    {'hecke_orbit_code': 1580598297052, 'n': 27, 'trace_an': 0}
  • id: 13383585
    {'hecke_orbit_code': 1580598297052, 'n': 28, 'trace_an': 0}
  • id: 13383586
    {'hecke_orbit_code': 1580598297052, 'n': 29, 'trace_an': 0}
  • id: 13383587
    {'hecke_orbit_code': 1580598297052, 'n': 30, 'trace_an': 0}
  • id: 13383588
    {'hecke_orbit_code': 1580598297052, 'n': 31, 'trace_an': 0}
  • id: 13383589
    {'hecke_orbit_code': 1580598297052, 'n': 32, 'trace_an': 0}
  • id: 13383590
    {'hecke_orbit_code': 1580598297052, 'n': 33, 'trace_an': 0}
  • id: 13383591
    {'hecke_orbit_code': 1580598297052, 'n': 34, 'trace_an': 0}
  • id: 13383592
    {'hecke_orbit_code': 1580598297052, 'n': 35, 'trace_an': 32}
  • id: 13383593
    {'hecke_orbit_code': 1580598297052, 'n': 36, 'trace_an': 0}
  • id: 13383594
    {'hecke_orbit_code': 1580598297052, 'n': 37, 'trace_an': -256}
  • id: 13383595
    {'hecke_orbit_code': 1580598297052, 'n': 38, 'trace_an': 0}
  • id: 13383596
    {'hecke_orbit_code': 1580598297052, 'n': 39, 'trace_an': -88}
  • id: 13383597
    {'hecke_orbit_code': 1580598297052, 'n': 40, 'trace_an': 0}
  • id: 13383598
    {'hecke_orbit_code': 1580598297052, 'n': 41, 'trace_an': 0}
  • id: 13383599
    {'hecke_orbit_code': 1580598297052, 'n': 42, 'trace_an': 0}
  • id: 13383600
    {'hecke_orbit_code': 1580598297052, 'n': 43, 'trace_an': -32}
  • id: 13383601
    {'hecke_orbit_code': 1580598297052, 'n': 44, 'trace_an': 0}
  • id: 13383602
    {'hecke_orbit_code': 1580598297052, 'n': 45, 'trace_an': 0}
  • id: 13383603
    {'hecke_orbit_code': 1580598297052, 'n': 46, 'trace_an': 0}
  • id: 13383604
    {'hecke_orbit_code': 1580598297052, 'n': 47, 'trace_an': 0}
  • id: 13383605
    {'hecke_orbit_code': 1580598297052, 'n': 48, 'trace_an': 0}
  • id: 13383606
    {'hecke_orbit_code': 1580598297052, 'n': 49, 'trace_an': -20}
  • id: 13383607
    {'hecke_orbit_code': 1580598297052, 'n': 50, 'trace_an': 0}
  • id: 13383608
    {'hecke_orbit_code': 1580598297052, 'n': 51, 'trace_an': -120}
  • id: 13383609
    {'hecke_orbit_code': 1580598297052, 'n': 52, 'trace_an': 0}
  • id: 13383610
    {'hecke_orbit_code': 1580598297052, 'n': 53, 'trace_an': -80}
  • id: 13383611
    {'hecke_orbit_code': 1580598297052, 'n': 54, 'trace_an': 0}
  • id: 13383612
    {'hecke_orbit_code': 1580598297052, 'n': 55, 'trace_an': 0}
  • id: 13383613
    {'hecke_orbit_code': 1580598297052, 'n': 56, 'trace_an': 0}
  • id: 13383614
    {'hecke_orbit_code': 1580598297052, 'n': 57, 'trace_an': 0}
  • id: 13383615
    {'hecke_orbit_code': 1580598297052, 'n': 58, 'trace_an': 0}
  • id: 13383616
    {'hecke_orbit_code': 1580598297052, 'n': 59, 'trace_an': 0}
  • id: 13383617
    {'hecke_orbit_code': 1580598297052, 'n': 60, 'trace_an': 0}
  • id: 13383618
    {'hecke_orbit_code': 1580598297052, 'n': 61, 'trace_an': 0}
  • id: 13383619
    {'hecke_orbit_code': 1580598297052, 'n': 62, 'trace_an': 0}
  • id: 13383620
    {'hecke_orbit_code': 1580598297052, 'n': 63, 'trace_an': 492}
  • id: 13383621
    {'hecke_orbit_code': 1580598297052, 'n': 64, 'trace_an': 0}
  • id: 13383622
    {'hecke_orbit_code': 1580598297052, 'n': 65, 'trace_an': -104}
  • id: 13383623
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  • id: 13383624
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  • id: 13383625
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  • id: 13383626
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  • id: 13383627
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  • id: 13383628
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  • id: 13383629
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  • id: 13383630
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  • id: 13383631
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  • id: 13383632
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  • id: 13383634
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  • id: 13383635
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  • id: 13383637
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  • id: 13383638
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  • id: 13383639
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  • id: 13383640
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  • id: 13383660
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  • id: 13383673
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  • id: 13383688
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  • id: 13383697
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  • id: 13383698
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  • id: 13383706
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  • id: 13383707
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  • id: 13383708
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  • id: 13383709
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  • id: 13383710
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  • id: 13383711
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  • id: 13383712
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  • id: 13383713
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  • id: 13383714
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  • id: 13383715
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  • id: 13383716
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  • id: 13383717
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  • id: 13383718
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  • id: 13383719
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  • id: 13383720
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  • id: 13383721
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  • id: 13383722
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  • id: 13383723
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  • id: 13383724
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  • id: 13383725
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  • id: 13383726
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  • id: 13383727
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  • id: 13383728
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  • id: 13383729
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  • id: 13383730
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  • id: 13383731
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  • id: 13383732
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  • id: 13383733
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  • id: 13383734
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  • id: 13383735
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  • id: 13383736
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  • id: 13383737
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  • id: 13383738
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  • id: 13383739
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  • id: 13383740
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  • id: 13383741
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  • id: 13383742
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  • id: 13383743
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  • id: 13383744
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  • id: 13383745
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  • id: 13383746
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  • id: 13383747
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  • id: 13383748
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  • id: 13383749
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  • id: 13383750
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  • id: 13383756
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  • id: 13383758
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  • id: 13383760
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  • id: 13383761
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  • id: 13383762
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  • id: 13383763
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  • id: 13383764
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  • id: 13383766
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  • id: 13383767
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  • id: 13383768
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  • id: 13383769
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  • id: 13383770
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  • id: 13383771
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  • id: 13383772
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  • id: 13383773
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  • id: 13383778
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  • id: 13383779
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  • id: 13383780
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  • id: 13383786
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