Embedded newform data - 3871.2.a.i.1.10

Formats: - HTML - YAML - JSON - 2025-10-30T05:36:54.877190

• 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': 15484, 'analytic_conductor': 30.910090622437636, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[7, -1], [79, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3871, 1, [2845, 1030], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 24, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [1, 5, -101, -221, 323, 348, -285, -166, 105, 31, -17, -2, 1]], [3, [180224, 0, -3026176, 0, 15566528, 0, -29209888, 0, 28200640, 0, -16191433, 0, 5929355, 0, -1431843, 0, 230099, 0, -24286, 0, 1613, 0, -61, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052522271, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3871.2.a.i', 'level': 3871, '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': [7, 79], 'level_radical': 553, 'minimal_twist': '3871.2.a.i', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3871.2.a', 'trace_display': [4, 0, 0, 0], 'traces': [24, 4, 0, 28, 0, 0, 0, 18, 50, 0, 14, 0, 0, 0, 18, 36, 0, 10, 0, 0, 0, -12, 22, 0, 56, 0, 0, 0, 36, 14, 0, 30, 0, 0, 0, 8, 24, 0, 56, 0, 0, 0, -2, 74, 0, 48, 0, 0, 0, -42, 22, 0, 48, 0, 0, 0, -16, 12, 0, 120, 0, 0, 0, -38, 62, 0, 32, 0, 0, 0, 44, 26, 0, 48, 0, 0, 0, -144, -24, 0, 108, 0, 0, 0, -42, 72, 0, 36, 0, 0, 0, -16, 48, 0, 2, 0, 0, 0, 6, 76, 0, 82, 0, 0, 0, -60, 42, 0, 26, 0, 0, 0, 60, 92, 0, 124, 0, 0, 0, -182, 62, 0, -92, 0, 0, 0, -10, 120, 0, -32, 0, 0, 0, -2, 148, 0, 96, 0, 0, 0, -60, 32, 0, 88, 0, 0, 0, -34, 48, 0, -34, 0, 0, 0, -4, 194, 0, -4, 0, 0, 0, -226, 88, 0, 48, 0, 0, 0, 78, 174, 0, 120, 0, 0, 0, 14, 124, 0, -42, 0, 0, 0, -86, 114, 0, 218, 0, 0, 0, -122, 138, 0, -20, 0, 0, 0, -2, 54, 0, 32, 0, 0, 0, -118, 142, 0, -32, 0, 0, 0, 14, 18, 0, 88, 0, 0, 0, 14, 114, 0, 80, 0, 0, 0, 100, 10, 0, -100, 0, 0, 0, -138, 112, 0, -110, 0, 0, 0, 6, 120, 0, 124, 0, 0, 0, -96, 40, 0, -38, 0, 0, 0, -60, -84, 0, 96, 0, 0, 0, 138, 206, 0, -80, 0, 0, 0, 2, 28, 0, 66, 0, 0, 0, -284, 46, 0, -52, 0, 0, 0, 198, 4, 0, 242, 0, 0, 0, -106, 168, 0, -122, 0, 0, 0, -66, -16, 0, 30, 0, 0, 0, 10, 238, 0, 46, 0, 0, 0, -40, -18, 0, 12, 0, 0, 0, -28, 116, 0, -4, 0, 0, 0, 112, -122, 0, 64, 0, 0, 0, -362, -10, 0, -28, 0, 0, 0, -100, -274, 0, -42, 0, 0, 0, 120, 26, 0, 18, 0, 0, 0, 162, -8, 0, 100, 0, 0, 0, -166, 14, 0, 88, 0, 0, 0, 16, -44, 0, 76, 0, 0, 0, -278, -42, 0, -252, 0, 0, 0, 78, -362, 0, 270, 0, 0, 0, -8, -48, 0, 234, 0, 0, 0, 90, 120, 0, 288, 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0, -262, 420, 0, -24, 0, 0, 0, -300, -196, 0, -484, 0, 0, 0, 326, 50, 0, 712, 0, 0, 0, 624, 200, 0, -618, 0, 0, 0, 938, 224, 0, 472, 0, 0, 0, -902, -834, 0, 1066, 0, 0, 0, -296, 152, 0, -40, 0, 0, 0, 340, -52, 0, -786, 0, 0, 0, 158, -274, 0, -1234, 0, 0, 0, -594, -452, 0, -442, 0, 0, 0, 806, -126, 0, 388, 0, 0, 0, -368, 536, 0, -920], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 10, 'dual_embedding_m': 10, 'embedding_index': 10, 'embedding_m': 10, 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052522271, 'label': '3871.2.a.i.1.10', 'level': 3871, 'weight': 2}
• mf_newspaces •

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

  
  {'ALdims': [56, 76, 75, 60], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4], 'ALdims_old': [26, 25, 26, 21], 'Nk2': 15484, 'analytic_conductor': 30.910090622437636, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3871, 1, [2845, 1030], [1, 1]], 'conrey_index': 1, 'cusp_dim': 365, 'dim': 267, 'eis_dim': 15, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 33558303, 'hecke_orbit_dims': [1, 2, 5, 7, 8, 11, 13, 14, 24, 26, 26, 26, 26, 28, 50], 'label': '3871.2.a', 'level': 3871, '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': [7, 79], 'level_radical': 553, 'mf_dim': 380, 'mf_new_dim': 267, 'num_forms': 15, 'plus_dim': 116, 'prim_orbit_index': 1, 'relative_dim': 267, 'sturm_bound': 746, 'trace_bound': 5, 'trace_display': [2, 4, 2, 0], 'traces': [267, 2, 4, 268, 2, 4, 0, 6, 273, -2, 0, 20, 10, 0, 14, 262, 10, 16, 4, -5, 0, -11, 0, 10, 281, 19, 16, 0, -10, -44, 4, -1, 14, -20, 0, 266, 20, -16, -2, -17, 10, 0, -2, -4, 28, -32, 8, 10, 0, 47, 12, 34, 28, 4, 8, 0, 14, 28, 14, 10, 0, 1, 0, 222, 54, 60, 4, 58, 42, 0, -26, 16, 24, 14, 6, -27, 0, -76, 5, 44, 283, -20, -4, 0, -14, -38, -40, -58, -10, -44, 0, -53, -22, -82, -12, -24, 46, 0, 72, 210, -14, -68, 20, 8, 0, -58, 50, 64, -48, 15, 4, 0, 8, -48, -16, -34, 24, 4, 0, -164, 241, -56, -48, 8, -18, 0, -6, 28, -44, -41, -20, -26, 0, 104, 32, -36, 66, 8, 18, 0, 14, -42, -8, 244, 64, 24, 0, 22, 8, 60, -16, -41, -38, 0, 40, 22, 34, 4, 24, -72, 0, 34, -20, 118, -48, -120, -4, 0, 245, 142, -32, -42, -6, -80, 0, 13, 102, -29, 48, 73, -12, 0, -120, -111, 8, -28, -26, 82, 0, -95, 32, 16, -8, 34, -136, 0, 22, 33, 50, 66, -18, 3, 0, -168, 22, -28, -64, 105, -8, 0, -6, -22, -14, -92, 70, 0, 0, -18, 14, 109, 62, -148, 8, 0, 345, -54, -110, 62, -32, -121, 0, 142, 24, 17, -96, 54, -6, 0, 0, -12, -6, 38, 52, 38, 0, -64, -24, 42, 20, 13, 8, 0, 36, 4, -36, 74, -36, 28, 0, 157, 122, 116, -40, 174, 96, 0, 10, -145, 22, -76, -26, 266, 0, -122, -68, 246, 42, 8, 24, 0, 202, 146, -28, 96, 10, -124, 0, 217, 345, -102, 26, -73, -92, 0, -130, -2, 80, -138, -16, 86, 0, 80, -170, -58, -42, 12, 22, 0, 74, -217, -84, -126, 56, -98, 0, 10, 224, 116, -68, -22, -50, 0, 38, 404, 130, 89, 124, -192, 0, -440, -184, 24, -108, -215, -80, 0, -74, 28, -72, -112, -106, -52, 0, -344, -54, 124, -32, -36, 4, 0, -56, -148, 84, 126, -94, -90, 0, -208, -84, -179, 165, -93, -38, 0, 6, 124, -136, -42, -10, 82, 0, -146, 54, -16, -40, -238, -24, 0, -56, -32, 42, -22, 8, -20, 0, 122, -230, 21, 266, -16, -42, 0, 154, -42, -16, 84, -24, -148, 0, 165, 144, 52, -128, -46, -58, 0, 30, -324, 110, 242, 44, 48, 0, 40, -32, -74, -14, 175, 30, 0, 142, 2, 72, 10, 92, 38, 0, -12, -78, -74, -144, -40, 202, 0, -164, -24, -134, 44, 104, 53, 0, -104, -126, 156, 2, 116, -96, 0, 14, -129, 22, 150, -162, 28, 0, -92, 118, 116, 80, -72, 60, 0, -44, -104, -192, -14, -24, 244, 0, 168, -88, 4, 96, -10, -8, 0, -20, -52, -24, -374, 110, -13, 0, 145, -36, 104, -72, -232, 150, 0, 24, 28, 140, 17, 0, 197, 0, -56, -36, -217, -158, -22, 108, 0, 110, -15, 50, -244, -96, -76, 0, 166, 64, 65, 2, -276, -156, 0, -112, -185, 58, 484, 160, -177, 0, -251, -278, -358, 109, 162, -118, 0, -50, -176, 142, 393, 32, 54, 0, -440, -24, -188, -34, -182, 20, 0, -296, 212, -4, -203, 164, -200, 0, -78, 256, 92, -54, -111, 72, 0, 236, 114, 12, -262, 150, 183, 0, -54, 164, 116, 236, 49, -118, 0, 464, -148, 26, -182, 100, 310, 0, -340, -206, -25, 76, -72, 22, 0, -80, 372, -196, -196, 18, 216, 0, -68, -362, 91, 28, 312, 96, 0, 272, -11, 248, 0, -104, -18, 0, -84, 8, -46, 152, -56, -64, 0, 206, -470, 132, 265, 212, 118, 0, -170, 511, 7, -36, 200, -76, 0, -70, 12, -4, -42, -50, -116, 0, -196, 262, -193, 166, -46, -72, 0, -72, 98, -80, -286, -60, 277, 0, 88, 182, -344, -196, 350, 244, 0, 4, -436, 50, 88, 64, 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0, 16, -416, 120, -12, 40, -15, 0, -306, -164, 92, -244, 325, -164, 0, 106, -404, -74, 268, -252, -524, 0, -53, -176, -272, -156, -232, -100, 0, -316, -348, 196, -122, -80, 228, 0, -436, 148, 144, -84, -480, -72, 0, -68, -244, -92, -11, -284, -60, 0, -392, -76, -266, 200, -192, 136, 0, -14, -98, 112, -102, -174, -168, 0, 246, -368, 59, -72, 130, -54, 0, 234, -206, 34, -464, 2, 184, 0, 296, 374, -18, -104, -89, -456, 0, 86, -1094, 36, 173, -400, -252, 0, -820, -15, 346, -98, 126, 264, 0, 204, 135, 12, -257, 100, 344, 0, 445, -744, 316, 58, -16, -52, 0, 180, 58, -98, -356, 58, 424, 0, -319, 254, 171, -152, 324, 160, 0, -32, -56, -76, -1, 236, -191], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 46477029
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 10, 'source_hecke_orbit_code': 36028797052522271, 'source_is_minimal': True, 'source_label': '3871.2.a.i.1.10', 'source_level': 3871, 'target_conrey_index': 1, 'target_dim': 24, 'target_embedding_index': 10, 'target_hecke_orbit_code': 36028797052522271, 'target_is_minimal': True, 'target_label': '3871.2.a.i.1.10', 'target_level': 3871, 'twist_class_label': '3871.2.a.i.1.9', 'twist_class_level': 3871, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46477030
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 10, 'source_hecke_orbit_code': 36028797052522271, 'source_is_minimal': True, 'source_label': '3871.2.a.i.1.10', 'source_level': 3871, 'target_conrey_index': 1, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 36028797052522271, 'target_is_minimal': True, 'target_label': '3871.2.a.i.1.9', 'target_level': 3871, 'twist_class_label': '3871.2.a.i.1.9', 'twist_class_level': 3871, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
• hecke_orbit_code 36028797052522271 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': 1, 'hecke_orbit': 9, 'label': '3871.2.a.i', 'level': 3871, 'portrait': 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GWJjCBKfJa6kuHYw9cCYQ3z04YNUwnL3YDuUDCKPVYGgs1ThqWO4fg5Rc3z2TwL2+dDNs2N2Dg3ZvPcmO2bLDs3Ky7f4VFXTY4cb/PVJ3weejrmsWMRierx+hd3eNMLLXU1x9PHpjlyWnPqfMLZFNwHFy03XLnAr7xthR0bpji9MM255RpLHY/ljmSlm7ggeiR4+ugie090L39s/6mXHDt59oJjp859/sZXvDG865a/ebYh8Q09/kEz+MpKh0Fo8RRvv+OBAy/8pd/5gPy+l5184b/57pN6YXkrS6vTLHXqLHV8Flc1Sx3BcidhuROxtJpwdhUOLQnmN6zyqz+wxPP2NDhxbpbT55ucXtScW7KcXYw5uZBwvhczPTviRVf3ecFl4Ms6gQo4t1zjzKLm7LJgMIY4NtR8Q7OWMDMVY4BjZ2O6fdi1yaNZH2OtAOHTHxp2bh6ztKrBOimy2odxDBbLcidk20aP3lAhlEWYMe2ax84tI1YHgmOnNYnRzLUlrZog8CCOBYOx5Oyy5MyS5dxKTBCMwIu58Yo+L7xSMN+us7TS5sS5gNOLcG4x5txyzKllOLRkee4Vi/zaD6ywebrN8bOznF2qs7Dis9iRLK+687fSS1juGRa7kmNd6C4t83s/O45/6A3ibjH1M0bWrr5bCvOLifEI6u1nGyrP+PgHy+B/+v6/5oU3Xs/P/ezP/vpf/M1t/+YP//y2i/ce711w6PRQvvDKIRdtNcRGY4zCWomxEqwEJCAQwqKFxZdweqnOfQclV+9e5rIdIxo18LTE9xS+r2nWJQ1PMuh77D9a49aHfI6dH9ONI/afGLNpbpk3vGiFqy/u8dzLOhxdjFkcCBrBiMOnLZ1uk6sukqyOEvYeVbQamiePwSVbLaMwYZT4aB0x04J9JwKUTvBkjPZgOJY877IBw4Hk6osdcx473eLCzYpmI2R1bNk4PWCl3+XDt8EjRxIeOzJi19Ylrrm0y8xsyOtu7PHdL7Xs3twiiaY5cmqKQyc9Tpw1nDwfcfJ8wqHzguOrEc/Zs8Cv/kCPTdPTnDg7y7mlBgurPksdyUonYbUX0eknrPYtK33B2YFitRvy/CuW+Kk3Lsi6FhecO3Pywn4/eX7QvKheb8188aF7P84fvesvn23IrPv4B8ngf/aBj7Lnom3qgccP/vsTp87+u4eeOKZOLYScH2rODROuueAcv/MTi1x3cZ2zSzMsrTZZ7tRY7nosdzQrPVjpJKx0Y5Z7MYsdOLEi0PURN125zPe8NOTCjU1W+23OL9dZWPZZ7AiWO04irPQM3aGhO7YMRjFz7YidmwwgCDzLyfMeQgbs2qi4cKtl68YB51bGPHqgxfWXWBr1FZ44OEurGRKGHnMzhuEILt854oO3TXPpjpjx2LJhShIlQ1q1gCePjqh7Ta7dE/PY4ZBzSz7b5gIu3AI7N4coFXFyEXzPIoRl16aYmZakNwzoDzy6A4/lrmJ5FZY6huVOwmIn4WwHlkYJO7f1+Z6bF7npMk3Na3Nmsc3iSo3FVc1yV7DSMaz2HHOv9ixLfTjbl5xdTXj+pWd5xz9fZM/2BsudNsudOqv9aXT94qTR2vTrtdbuXwuHp5Lnv+iNzzZ01jz+QQF8/9P7qddr9ZMnT+68/4En3nroyOn/fPDwKUIj6Y9gZSA5P5Sc6UU896Jz/PZPLHPNRXXOr0yztNJkpVdjpeux3NWsdKHTM6z2YlZ6Mctdy7mO4HTfgujzphd3eN3zDBdtqRGGDVY6NVb7Pp2eYqUv6A0Eo7EljC1JAkpaAg/qgWW6bdk4G6G9EYfOhDx+MMDETV7z/BDtrfLg3iku2AKfvS/mxVcFnO8MqWlFnETMzkAceWgvZmmpwYuu6/LZe1pcuAUeODDGo8Grn2eIxZDHDyUcOVlDS59NM5qZpqAeCHxfoATEBsLIMgqhN7Cs9g29gWF1YFjqW4ZJwq7tA173gg5vemEIpsXS6hTnl+tOb3c1Kx1Y7SV0+jGrvYTVvmG5LzjTUyx0Y5675xzv+IkFrthVZ2l1ipVeg04/oNvz6Q2h0dpG0Nzyy3ObLvurbdu2HR+PR8NLLrn02YZS/vgHA/CTJw6wcX7eP3Dg4A/t23/gnXd/9RGxtNKT4xAGY8tgZOiOBKtDwfmh5Gw35HmXLPCbP7rEdRfXWFydZmm1yUo3YLXns9LTrPYEnZ51S24vptM3rPQt53uCMx3DzPSAb3tujxsvi9m1SdGue3R7NQJPAoowlhgjMBYGI0AYZlojDpyyGBtyywNNxoM6F2/zuenqAZFZ5Y6Hprn2Eo8DZ/t0Vtq84OoBX3wwYNOsZe8xy794Y5e9RwM2zUpufUhx0+WK5UGXwydmuXZPyB2PD4nHDW68wmf3jhHDuM8XHlSQCA6d1LQbGi1gMJQYK0iMJYoBadC+odO3NFsRO7aMeeHlA77t+pi5Zo1zy1MsrdZZ6bpzs9IVdPrQ6cV0+jGdfkJnYFkeSM72BIu9mOdfep5f/9FFrrkoYHFlmtV+g24/oDvw6A80/ZGrdY+SutlxwVV25wW7f+qiiy5579LiQnjFFXuebUgB/0AAniSRjKPBG554+DMXr6yad9x3/4Peak8wTCXCYGQYjgy9kaU3EnRSkJ/pxNx4+Xne/qMLXL/bZ7U7xcJKi06/xmrPZ7Wv6fQUnQH0+pbuIKbbT+gPDZ2BZaEvWOhDlIy55pIhm2cT+gPLa18w5oLNhjiRaGkJI7j90RrHz9fYMhPzxKEamAaXbVdcd6khqA148MCAhcUmV17QpD29wj2PedxwSY2lwSorK202b7bct1fxj1/e5/69mu0bPRb7HVaWZ7nu8gH3PJEwW5/myov7nO90uO+paeq6yXMvtezZOQLZ59Ejgo2zEecWIu541GMUKaSExFgu2BLybS8I6fUVW2cM110CYdhgudNguROw2vfoDhSdvqTbh+4godtP6A0SugPD6sCyPJSc6go6wzE37Vng135khRsuCTi3PE2nX6fbD+gNPboDTX+oGIwk/ZGg00tY6YRce90N0TjWP/e27/1HB1ut+qcC3zPPNrae9UzmcDBkOBz9wInDD/3OuVMHZs+cXaVekyRGIoQFQBAjBCAMUlh3SIuSmvuf3sQvvlvzxpuW+d6XL3PhtpCzS20Cv0498GkEHs26pleXtIYeU03NYJTQHyZsGhuGY0tvFLC8UOPkCUsYG06djQkCCwh8ZdFSMBgqBB7xQPOcCwS7t1p2bhswTnp87n7FvoMzvOr6gOsuX+H9n7P4osEF2wY8do9i27RiQ3tATdUJI4/zPWjWNNs3CR7ZF3LdnjovvXaR9316iO+1eOXzLV4w4Ev3hXz23iZPHalz0dYGF2xJmJ8JuXBDxFUXJChl0MoClkYQMD8dEEYevYHPEwc8+iPNYKjojyT9IfRHlv7A/e69YUJ/aOkOLatDWBgozq1YGlMdfvo1C3znTWOuuajJmcWWA/cgoDdwjs9glP2bgsHIMgotsRHc/pX7vGZ77nfuumfL8s0ved6/HgwG72s0Gv/nAjwKByDsj5x8+qtv3//EbbPDwSpaedR8jUmss9tQCAFCJAhApiBXwqJlgi8ljx2Y5+Gnmxw4fZ43vrDPC68YMd1qs9xp0OzWaA99+gNNL73Yw5FmMNaMxpZRaAgjSxRZ4sQdYexjDUgl8LSg5gumW4KZFmzeYNi+acCGmQ6ffxDufNhDmiledb3Hcy7rcddTEeGozU3PEXSGQ84vNblxj2HD9IC6DhjFioVuhDKC5+zRNFpjHtpf4yXXTfGCa3o8tF+BneL6K3x++PXLfPGRkFvvb7L3eI2d84rNs3VmWg2mWlAPwNMWJcFY2HtEkCSCKBaEMYwj3O84ThiODaOxYTAyDMaG/hC6Y1joS873YGxGvOLaZd7wwg7f/0pDHLc5u9ikO6jRH/j0hh79oaI/lI65x4LhyEnH4Thx5zC2nDp1lg9/9HOzw3Hy/77+1S/R3d7g3e3WswfyZw3g0WgJSfzDCydvf/vC8S9tDOQQUfcYhxZrDdZKMv4WQiGEQAhQUqCkQSmLVhZPGeqeYHFQ50O3bedLD3d58VWrvO0Vq1x1YZ+56QZLqw16w4DB0EuBrdwRCsaRJIoFceyWele75YJKraHmQ6NumG1FbNs4IKbPgVMRH76jxuETTaaDOjdcobnx6i73Pd3hlq+2ef4lNXZuGfDB2wRKBLRbEav9McaCEjDfHtDt+Zi4zhtefJ4PfbbB7nM1Xvf8AWG0xB2PzxElNZ53xUZed0OXS3Z0+NJDAx470eDRIz7bZyWzbUEjEPieuwmlACEsxoIxDmxxYgkjyzhyN/IohGEIvZFgZSxY7oHQI669dJW3fdsqL74iYa5dZ6XboNOr0xsEeaHaYKjojyXDkWAwEgyyG2eUMBobxqEhiiFBcfx0h/f85a0bVwf27W9+w4vtmXOrf7pl0/T/GQD/5f/2R8zU6/ynP/zkD37Hjcvv2FJ/ckOgh7RbdYYjgRRla16m7C2QQiKlRqkEpUS6PBs8bQm0pa4FKyPFUmeGj9ze5N4n+tx0zSpve+Uq1+7uMJfUieOAwahGf+gxHGvCSBHFkjiRJEZgrHBZUGEJfEOjFhP4Ib435tTSmE8/IDl40ufIyRmUCdi9xefyCxXXX9ZFBQs8fqjFtukGV14Em+dXWO62uWqbJDaWz98fMB5Ippsxr37eiE/dEXH8bItLL/Y4szriycMeOzbNcM2FC9z1WI97nhSMQ5/LLpzlsh0Bl23vcejMMgdPwf37Ghw43KShBYGWNANLzQMpXVBlrbtZ4wTCGMJE0B8LuiNBN4LQxBg74rmXdHnbt3V58VUJW2YDRqMpljo1ev2A/shnMMwCScVwLBiOJMOx6xsdjRNGYcJwZBiFhmHopMoohGGkOHWyw+/82Zc3doaH3/Gjrw/jha/wfn29FUmM3TD1vy70+18K8Pf8xX/lFz8g+Vff0f/+B5449Hu7249O73mRYtSYRsoQKUBKm4IahLRIKVFSopVAKYVWAq0MWiV4WuBrg+9ZAs/S8BOma4Le2GOlO8NH72xz26MjNs0MeOvNHS7bMWI07HPlhZYdmxXjyCNJijS/wCKlwdMJx85ZjpwVrA4Nn7yrwanFGWzoMVNTbJ3T7NqsuWgbXLm7i5GLvOtTTZaXp3j+ZZord3f40qMCEXtsnJE0GzGDyEemySilfTojwbllwRW2wc3X97j7oTpbN/g8/8pZ/tnrF3nvZ3vcv79Jf+SxtNriwq11Lt0y4Hl7enzXS3qcXl7mk3cFLA0Cjp3xOHXKx1MCKSUCgbGWxEBkLElsmJmLuPqKAeNxxGU7xrz55jEbpxSzrYAoqnFmocZg6DMYu1VumANbOnCPBaMxbiUYJynATQpqdwxDGIaCfijoJZpTR1d46IGnNpy9vvXb/o6Hf7md8MNJMrrzfyXm/pcB3Mb/FdSLxOUXfvEtjzx55E+u3ra/cfVFMZ5Xox6M8j8nhM0PKRRSgJLkINcqfdYCTyf4WuB7hppnqUeWRmiZqiXM1AWDUNILmxw52eQ3/2IWTIyIY66/esCFm0PiGIw1WOuSOFIIpBJoz2f/cZ+9B2s0a5qWL9nQEMzPSTbOarbOK3ZtSbh01yqJWOL3P9bm2PFpnr/H47ILEoZxj68+HjBd95ibsky3Qhp1J4WMkXRGiuW+ZamT0OnXedGVqzywd8C+44rpdo3nXTHNj75hiT/4ODx0sEl/aFntac4tt9m8ocHGmRG75kb87FsGtBsdHjsC+09IPM+ilEUIA1j3n4U4hgs2J9x0VUwSeURxgLUNRqHH2UWf4ditaKNQ5fJtGApGY8EodKw9Dh1rj0MnR0ahYRxZx+ZRxtyCQShYDQXLoQAb88Rhy1987sj81m3vnQ/lFRf+9A/++Fde/zMftp/+ve/53wfgb/+j93Djj+1W/+UH73rTpZsOv/+R8d7amYUaRoZof0SzXnwM55IYlLRuNIO0KXNbtJYpsAW+pxh7knFoCMKEcWSpR4ZxZAhDSzuGcWQYxxDGglEkGScBUVJj38Emj+6DxFoctJ029iT4ytV8tAK4cgu06zDVlMy0FHPTmo2zsHPzmC3zq0R2md//2BSHDk9x3UWKi7ZLdm9f4ctPxpxbmuL6CyUzbUPNHxLIAKsEcSIR1hInISv9GueWPK67rM5z9vS466Eam2YEjVqL6/YYfvpNS/zexw1Pnmqx2jes9hQLK5oN001m2nVm2lO0GxHzzYhd14UEXoynY5RKkKkDZXE3VRQpzi9oolgRxYowUoyj9DmUjCPJOJSMQsk4FC5ADQXj0DpQR4bx2J3nceh0/TjKdL1gFMEgEnQiB+7hOIJ4iCJh1xb40gOPcarXeNfvv+cPhj/9Q97H9v3I7yeXX/svv/UB/u9/60OoqK5evPvIm//4bzrvG66erT19bDN7D0oWu5pf+/EOV27vI0hZWxqU9FHKAVwri6ctnlJobdMaEuEugicY+4owckCPIksYFxF9fiQQJ5YkMSQGp7cNObhFukpoCZ4HgRbUAkEjkDQbiqmGZGZKsHE2ZtfmAa3mKh+7O+SOx2dZXWxz9U7Fri0el+wYkYhVPn9/g6anmZ9RtBojHj8ETx3WXLXDMhgrrrkk4urdlrNnEhZWfIajBq+5ocdXHhty4JSiWZcEfpurLjL82g8ucfuTQz51+waWupZdGxNWOprptmKq6dFqeDTrllpgCHxDoBO0cudRpq2V1uISVkYQG0mcCOJYEMWSMBZEkWQcOecljARhZAlDGEcJYWQIS8QxjrIDRulNMEzB3Y0kqzGMxiEy6vOcC1f5lR9e5jtfFvL8yy2PPX137Yo913zg1P5L/+lse8tfn3r6Pcm2Pf/sWxvgnjSy01353kOHzvzhrQ8s1IbRhSQiglbE397lE441b355l7e+vM90O0EPEpRM0mDSoHWCpzWe1gShYuSlbONJQl8QRsJdnEgRxRBG0jkIcWH7xYkhSZy7kNjUKUndEiEEUjp3RmuBrwWBL6kFkmZd0G5YpluGTbNj5md6xHaVj3xF8t7PzrGxVuPqnYKdWzwu2GrYtWWFj33Vsrxc47LNipk2tBoR545Kzq8E+BfCOBLMT0mmp+HAEctK13B2scYlF9R4+fU9Pn1njbkWBL6PktNctVvwY687jyfP87d3zfDUqRqbuhEbp2OmmopWXdGoS+qBJvAh8EBrRwxSgBQlkONu7MRAkgjihBToECWWMIYoShwpRIYwe44MYQTjOHNlUnDHglEk6KXM3Y8s0XjMVNDlra9e4q0v7/Oq6w291Sa75jUXzHusdI/Vhr2pP1FBTQvp/yWOZ741Af6+D36cJDE/eNtdh3/78OET7W3Tik4k6MUBo8QjVj6fv9/jq0/WOLO8zL/4riEz7Yha0KDbT9A6wdcenvbwdELoafxIMY4koedS6Y5xhGOilJXiGKIEksQ5Cca4gMsYm/VwpuB2AFdKoJXA0w4gtQAaNUOrHjPdipmfHrJhZpW794V84JY6+49Mc8GUx+7NsH2zz/ZNcOnOLoO4y31729SVx/yMYroF060xM1Mxvq8Rwt1cw7HPcjdidWDp9GPOr/js3NziBZed55b7B+w/1aYRRHjKR4gpdm9T/JNXLvLcS8/zgVta3PfENEt9zcZ2zHQjplGT1GuKwBMEnsTzXKyiFKl96FBucT2sxpADPU5Murql1mJsiBMH7jiCMLbFETlXJgP2IBL0YkEvhtEwxsRD5ho9fvK7l/jZ7xvQrHl0eg3CyCeMfcahxzj0GYxOtGUQ/H5t6jn+4w/+7Xuvfu4/+tYDeLfbQUn5I+/9wMfefvbMybl2XeBFFi0NNelOTF96jJVideTx2x/22XtohTe8pM/N1/bYtCGk16szHPt4nk/ge4xDTRA5ey/0HcCjSBLGbtmN4tTTTkitP1LmlhhLAW6XpEyZG7RyCRPfs9R8Q70W06rFzLTHbNnQ5VxnwDs/6fH5B2ZZXmly8bxg50bBto0+2zcKLtw6QvurfOgOzeETTfZsksy0JFPNBCnHnFqwBFoiBVgrCCPNro1d7iehO1CsdC3nluvs2V7ju27u8Ndf8jl6LsDTEUJ4GNskiiXXX7jCru/r8vmHBnzw87M8eLTJthnBhmZCs5ZQ8wWBJ/A9iacFWuECZynymgyLu8mMxTktiQN8BvI4cZLOgR3CxNW6hFnyKBYMY+jFkl4Ew8iQDMZs39Dlpdet8h0vGfDaGxI80WBlNSCMfaLIYxx5KcA9BiNFb/n83AYxfMdznvedqtvrvbvdan3rAHxhqYPB+2e3fvGOtz/62JMbPeUSJuAsQCXAU5YgFvRjyUDU6UQeH/pyjdsf63HdZV2+75UDvv35HTZM+QxGNYZjn8DzCGOPMNJ5oBTHiiiRxLEkSgRxLEkSQWJEobWNIFcl1jG3FDidnyaLfM8Q+An1IKZVH7Nhus8wGvKlxy0f/vIU9z0xzYzvcdU2y5ZZyaY5n63zku2bQi7atsJjR4d88ivzTCnN/JSg3RS0GxGdQcJnv1qj5bvf3VgYjjVvuGnMZ+51NTGdvuH8imb7xhZvfGGf+/b12HvApxnEKCkcyE2DUei0/j95eYc9W87zodu73PPUNMdX6mxuC6ZqloZvqGmD7+GsVeluZJlar1n5kUmlmjHFChenQHcEAVEiiJIU2IlgFAsGsaCXwDg0xGFIs97nja9a4fte2eW6PQmbZjXDYYtu3yeMiuuVHeNQMw4VYSg5eXzfxvb03W+/8uqbTDhafY9f++Yng76pAF9ZWWV5tY+W/MCnPnfHb338b784N+yvoqTCV4Bn0zQ7qMS5FoGEmhT0lcfQU5zs+py+t8G9j/f566t6vPkVA1590yqz0z7hOGAce4SRRxRrohTocaKIkzRhkxQANzZlblMkFpwFCUqa1Jkx+F5C4EfUg5BWfUjCkC8+JPmL26Z54sgUIgq4YMayZdqyYVoxP+uzeYNk63zEzs1dTiz0+KNPNYnHdbZvF0y3NO0mtBsRwgvpDptMtyxCCKyFKJbMBorYxPQin94gYaWrOLVQ54qLWvz4P1rlHX8ZcGyhiVZRemNo4rjGKJRsngu4/uIuV1/U58ljp/jwl+vc8uA0pzt1moGi5UPTs/ja4inQ0qXzhahW1xnAGnfTJUaQWIgT4fzzRBAmLkk0TATDBIaxJY5jTDRmrjbkNa9Y5a2v6PLiq2Km6powarLScfUwUZQCO1ZEcbrqZkesAEESLnHq0K0bW/XktzbvuCnuLp/8M+G3aTW/efMTv6kAHwyGzE43v+Purz7wB1/4whfbg/4qnlZYC56GrNNGSouMBVpY51xIS80IhrFgoAIGscf5cY2/va/JHU8OeN6tff7ld/e4fGeXjdOKdkOnus4jjguQJxnAjevwsZa0TzMDt6tlcWl+g9YxgR/jqZDuMGKhG/G7H6tx5PwMD+2dxhqfubpg4wbLhinBXFsxN+2xaU6yeS5m2/yAuekVPv+w4cGnprl6u2CmJWk1JO2GoVkPEd6YINBo5X6+tZAkkuFYMxxFxEbQGxp6fcty1+PsUpsbL+3zgitW+dCtNerLCi0jB0iriROfMHI9nhumazx3d5/nXtzn/pee5tiC5AO3THN+tcHJpQBfSZqewM9kmHSBZ07kmVTBMXlsBbGByAjGCYxiCI2FJIY4QqoxW2eGXL3LXY8bLk9o1zVx3KTTCxhHPnHsmDpKVE5AUVyWky57nBhXgrG62ueh+++Y2zOq/cGFF1+3Eo6Hn/xmYvKbBvDHn9jP1q2b1bve8xcX7937dHvY79BuaLcEWpDGuqUyFrnHrSV4CXgKggQCaWkYwVAJBjpgmHgshXVueXCKu58a0gzG/NPXdtg+F3PB1iE3XtlDC9ciJoSTKy4r6WqlXbFWCm4sQlqUcF6uJQYZ8+QRyQP7NJ++r8WTx1uEcYOWVszXLbNNy0zDOh+8rZmd0sxNCzbPxmydH7JlfoU7nhjzrk9vZMu0Zr4N7aai3RS0GjH1YMzdTytGocZrOlBZKwhjSU0rrt0z5N7Hp13h0zBhteuxuBpwbnGGH3/dOU4uLnHvI/N4EhARBlIAeYxDSX+omWnVmG43ecGeAS+9esD3vWyBfScMn7mvxn376jx9uEksNOOxYhAplJBpXU858ExzAtYQG4s1Bk8kTPkhNSJecF2fC7eM2L4h4m2vHlP3Jc26Rxg26PQcW0exdoSTOM89ihVRkkrIWJYOVxAWp7altZKw3yN+7K726vLZi1/0sreoc6cPJpu2XvwPB+BPPfUU27fP+/d89f4fMkn82yvLizTqGmuLlLELZFwiRyuBit3SGSUWnWo+Tzm7qqYEjUQwMjBKPEaJxyCp0esl/NaHZrBxxKb5EVfsHDE3FfPmlw/ZuTEkitKThoQSc5PqTykNQgo+enudxw41EVpz7HSDU+ca1OqKqUAw3bS0a4Z2DVp1wVRD0W4pZlqauWnYMB2zaW7Eto1dErvKR7/SZthvcsl2S7uhaDUkrbqhVYvxvJDP31tjPJB4G123aCZRmnXFa5435M6HDf2xpD9M6A40qz3N2aUGl1/Y4s0v7vLQkw2OLbdQ0gBRqpc9osS5SaNQ0h9pOn2fVr1Bsz7m8u0jnn/piBPnOxw9s4r2Eh49rPnrLzcQyhWuMTl/0BrAgLVEYcKuTTFvffmQDe2ES3dZNs1BEnuMwxZx7LHS1cSRJkp0Ggc5UJdjIhcXlZ+dpk+SAuSubkaytLTEho0X/PbeJx8cTM1d+N6nn94X7tlz2T8MgJ89e5LO6uKeE8dOvPPxRx+UjbrKA5jEuOg8MWnKXZG3gMWJQGdBjbF4idOAUWKpGUsjEUTGEiaCcSIZG0loPCIDC/02X37MYEn4xH1uZAPWpEeWxUstMpFVJEqkUsSRRhqNpyWtAC6ctzQ9QyMwNAJoBIJmXdKqOzk01ZLMtGFuKmZ+ZszW+R4JK/zu39S46/GN7J6DmUbK3g1Jqx7TqIc0G0Pq9QaBkiiZanDceYkij9FQMBwn9MaK/sjQGxrXMtf0OXluihddMean33KO3/lrzfHVACEM1kaYxBLFHmEkGY1dGWtrqGnWfBr1Go2gQS2IaNVDrr8kxPcibrgk5m2vGKBVnCaBjKu3L4vyVNIZIxFCEngK8BmNNUsr2tXtJFnMk8rCDLyJcqBOskNUgB0n1SNJUt2fmgCJsXz13gfkZX35zvmNg69E4fiJbwY2/4cBft9dH2NqWtSPHD7wppPHDonZKd8lDmJLYowDt7QO6MqiEkEiLUqBThzYy9F7VgUXp790/j3j9KE7BKGRxFaSGE1kApLU9io/8iylAC2Ek0QKanVLTVtqKiHwINBQ8y31QFD3JY26pFHTDuBNwXTLMNuOmZses3G2z9aNS7zr04YP3rKJHdOKDS1Du6loNRTNBjTqCa16xJklw6EzATXf3dCQVfoJRqHmws2GzRtGdEc+w5FNWVyy2tO06jVajWne9orzHD5zlj/55Da01FgMiUmIjSWKnSMxDF1R1KAmaYw09cCjHiR0ei7G8L0ETyd4XoKWLoEmpUvnZ3U/rnRFACIFuaBj0ipL4+KaJJEYI4lNEe84sEqXIY1FDu7se+sBOwtk4zTZlL03GMHd9zwsduzqvmnHjl2H3veBjwz/6T95y7MLcCE8f+H84i/0Omd/QYmRbDYk4xBUZNNfKMskOpAr5Zp4tRF5IkabAujOu05viOzrbCXI0uyZ7LFgrMgDpbLmBtJMngustDRoSVpDDp4SrtTWc9nLWiCp+ZJ6oKjXFK26pNWwTDUTplsxs+0xG2YG7Ny0xH1Pj/nQ7VuZqQVsahnaDeHAXZc0a4ZmLabVGHPffnh0X4OL521ez56lzYdjxQ2XWi7ZOeT+J6YZjC3DUUJ/qFOQezRqdeq1ab7nJcs8+vR57t27GazCmMTd/LEljmxeTzIcaxojS72mqPmGwPcI/IRAZxlhV2KslMnrfKSwICyCQs8VwbkrITaZI2Uy+7VkxaalxkkG4ux7GZBTKVKAWZRIzV33rKRiHFp6g4G0J07/+0aj6bfbrV8HwmcN4KPhUIbj0X+8/Ysf/NdLC2d8rTwCLwOX01txYlGxIFEpaBOTMjokyqJzMIv0+1mtSAFwU5I7Js3EZckKay2lzHtlxc1S1VlCR8k0Y6nAy4u2XPYv8BW1QFEPBI26oFW3tBsJU82Y6daYuakhW+dXuHf/kP/4vk0cPznNRRsM0w1o1xXNuqJZg2YtoV6L8L0RnZFFSYWnLFIWnywxjumi2KddjxjEhkFaZz0YJfQGkk5d0egF1IIWF2yO+LUf6vAf3i/56t5NWBTGGpLEECcxYWwII8UoVAwDSX2sqPmSwLcEviLQBs9zfr9W1gFcpYVsqUwRwlYbdNPUvk1JxJoM6OUcg0hjK5nnHOIc+OkqXJIjcWnFTpKy527S0gCDBU6eOu3PTE/93He98TXeYDj45Ua98fdO5/+9AR6Oulgb/vrRA7f/q9WlYzWtFTZxGUGLYysZO1AlUhBnWlwJTA7qLJNWgLxIq6egTsFtjS3YOi0DzQ4mAJ7Xk2fgzjqBlLPLdNqK5mlJ4LsBQLXAjWSoB5ZmzdBqJLQbEVOtkNn2kK3zq9y7b8B/eO8G9h+fZdesc1hadUmzIR171y2NWkKjFhElIX9+awupFJ503n/O4DZbyj3+yatW+MKDIb0wSKcHJPSHil5f0Qk0NT8g8NpcuiPmP//wEr/yXsE9T2zCWEliXFo9il2h2Tg0jGuu3DUIBDVPEPgus+lrm2dstTJI5bxx199aAniR8gTSc43LJWSfPTECmxetOf/c5Mm1lKXzlTcDOJXnDA+uNMCt8nHk3pNCse/pI7VPfPr2/+eNb3ilWF7p/uLszN9vetbfG+Dx4HEs9gW9xXvqgR6B9SDVcpCxpwNVnJBqb0FiS6BOLEbZXIKYEkO71+mzSVnE2hzcZCd+4nNlAM9qMLJMXsbeWmd1JxLPk65+wxfUAjfzpBEkNOsO3O1myHR7yPx0h/v2DfiP75nlyWMb2D4jmGuWpElN06y5+pV6LaYehHjemFNLM3jKtdg5W64IMpNEEseKLTOWOI7oRrW0U8YwHCX0RpL6QFHzPXyvhqenuGx7zH/+Zwv80p/CvU9tJDHSATyxRHGSMrlhHBhqoWTkq1yCeZ7LRWhl0zoVZ9PKzBtPn9fBuJMrpEkhRJ4cysGdB4rV1/mRFNKzMB6cbI1TqeVqYVKwG+j3x3zy8/fXN23b+QL5PzCj/O8F8Ntuu5W7HptrTMXv8vv9AUp5KGPQRmJ1BnCBFC44VBISRRE5y5SpNTnYq8C2Jda2Jca2BXM/w2eToiiikhKkFDm4lSzqyZ08gZoHgW+o1yz1wOnnRj2i3QiZbg7ZMNPhwQMjfuXdMzx+bJ6t04r5pmGqLmjVJI2aolEX1Gvu5nCp/pB79wr6I5+aIr3J3KqWNSEkRhDFmmZNceOVPe57ss0gcjJlOE4YDBW9QBH4Ct/zU/08zeU7DL/xo+f5+T+Ge/ZuJDKSyJi0WbrowRz7ksA3jr3T2hQvvbndQSpTChkn0yzveiDPkkK2BPCipkVUCriy3EdiwCQFea23asdpUZyTWylGEosQktXOKh/48Mf9d/zb72nceustg2/7tlf9zwf4yZMn2LRp6/QXb/3UHz16ePolDS/B99xJciMM3MmR0ulOZSCRTo8Zmd7JOlvSwGhRsHSZtUuANjmwi6ZgUu2dXwzhCoqEzHo4RQ5uB3BQacWgp8H3cJ1AflpgFSTUU3nRqo+Zag2ZaXV55OCYX3n3DI8e3cjmac18wzBVh2ZN0KwrGnVFI2fvhFoQ02qMuONRn9VOjZmZIk2eAcak2jRKFBvnFK94Tp87HjCucSA0JZBLap6k5mk87aN1HSkNl++wvP1Hz/Pzf2y5Z/9GIqOJ0gpAV/bqmDyIZF5d6GuJ1mkRlhQonZ0b8s+X3YSZVBFZVRpFQmjyqAC9FC+ZfEWmWK2tLcCeTJoJNtXl7t9QCmYbsGtWvOT+Rw/86Zve+MafOH7s+OrOXX+3XeH+zgDvrZ5h2F/4+d7yke+10RLCl1ibLm/K5lV6cep7xynAlQGjCl1mVKGzna7LZEiqua2tBpKTzJ0iPcvI5dpbZhV0he7OKga1wtVnaIvnucbimm+o+Qn1WkyjFtGsjWk1RsxOdXjo6TG/8McbeOTwJjZOe2xsJEw1bArulL1rknrg2L8WxDSCkNiM6YUBQkm8jMFzDS5SdksTIJFH0x+5coGwxkwG8lHCwHcMHvgyrYnPNqC1XHWB5R0/cY5/+4eGe/ZtIjKacSIIE5OyuKAWGQLP4nuud1WncYfrb3Urmjs/aVd+9lwqzMpvzHKsMwHunIRKxORq79NV2BTSpPw6K2Guvnb/niNJwbGT52nvPfS9O3Y+cigMo1/6n8rgvdUTNKe27rr39vdcLc1JZqZcRJ61RxkLyjp2kiljS2MxSqTLUlmzZcuZyE9U9svlkXt+AouspC2vmRlrl4PKbLlNO3RUGkxpbfGUA7avbV49WPOSVDdH1GtjZtoDppo97t0b84vv2sDDhzcxP6WZrydM1SytFNz1mrMTM3DXg4SaH9Nuhuw9arn9oSa+lHjKpEFcoSOz5TtKFLHR3Hx9xMUX9Tl0vM58g6KRd5wwGKUsrBVae3mZgxCWK3fBb/zYIr/0x4avPDnPKKozTiRhbGmkNdyBhwO5zlYvk/e2SpXkK5ySogRwUQJ5aZlcA3JbBXgJ3Nl7k7KzcMOoGApJCdzZNU6MkypP7DuJ0Pdd/fP/5sd2PX3o5LE9u7d/8wEeDo7jBe0Lls985b/58tx3NPwOxtMuJQ5FEGJd1i6LsFXmjKiim8TYMntnjF0Ctcl8bdYAu5AlKXNPgltYpMpswYm2N23xtcHzDIFnCPyYmh9TC0IatTGzUwNWegPufAJ+4y8289jBDWxIwT1dt7TqgmZN5F65c16MY2/fAbwejAmThNGwRk25m0wKUankyxIpLtDUTsvrMePQMoxECeAG30/wPY3nSbRSKOnlAEfANRcKfuMnVvitv4y5Z98cpzttRk3JdGJpxZZaOnEg8Gzq/WdOis3ZO5MqGcDzz5t+aJGf81LgmV6UYmW1RfBZBntZsmRElpQAXsZC6e+XTYTl7oD68ZXv+OTn70lufuFz/p99h04fvWz31m8uwHurx1C6/vzO4pNvCntP0Wo0XOmkLewjkyZhiohaFq9t4ZtmrO3ey06MKJ2YQvNVWbuqCrOL4MY9kI+dkBm48+FArizW0yYdM5Hk4A78FNyzfRZWhrz9zxt88qvzLPZnmJ+SzNdScNec7m6kgWU9kDQCmzK40961IARCbnvEZyXymQuo1GMjqitUkrjmh3agefl1A+7dH9KLAqYi47rYQ4M/drXqvnYA18qipIeQNnetLtsh+Z1/2eUz9w759fds4uTiDMNpzbQvaMWGRgxB5EYv+8oNNPKyQFOKPAjOnsuBevnGFCLvFSlYPCei0rUrGQOVuvOMxW2V5ApGL32vdJ7iRHHPgwfYuGnTm2ammn/e7Q+PflMZPIr6aN24ZPHU7T/TXXoM3xNoGxNrl7WyRpDkAC5lvzJvu/y9HMwZk2W6tKy5RZW1y7IkPdEZs2Tp5swFUBnAlUVLB2w3IMjNO/G9BN+LqfkRgR/Rqg/ResAdjyb86WfbfPqujYSmzca2YEPNyRJnAWY+uUoPkTJ3mb0jtB5z91PTDELNlkb2eSYZPLPSJFGsqHmKF1w+JDYO4MNIMMrckNCNXPN0ZnGqFIgu++jAJtgwLfjel/VpBad5z2eH3PnUHGejOoOapB1bmto6kOs0DlE2jUtsCvLsHIqidlyCpGDxsmQpX5KsFW5tIJoCveS6JKZ4v7Kal56TzJVJ34uNwErNnV99khuv3/Mz3/2GFz3c7Q0OfCMj4b4uwK3Zx+KJT+IF01uj/r6XeuIcXhAQmwhtivrrpARuW8l0pQAvgbxg/EJfZ6n2qiwpWQ9l+0rYCWmSZeVIu/LJJ19lzO0pV4sReBG+H1HzQhqNEb4/4C9u0fzmn23k0MIsXlBjc0swGyS0A0szgGbaYV8PXLazliaEXP1Kkq4ETp4sdhP6oY+vFL60eYBJ6VfJbnCX3paEsUfdG7F5esjqoMUwEum4NRcreF6S2nwqtTtVZUBSllKfaii+48V9brhigd/4wIgPfn6e5bjJIPBoepK2djU4gQZfkTdD6Czpk658MpcqRQKoTCpVsbIem5cSROuYBhUGz7LUaWNKUvo6qdQfaQ6e7vL5u/e/dHlgti4sdw7c/chRXnjtBf9jAE+ShLmdN18Q9x56V7J8N61G6H5grNO6g1KTgZGU07kVNs/SvVmNgykutjWpv5qDu1TqWnoIbMEmafZNlgEuLUoaZIW5kxTkMb52kiTwxwTekKPnYv7kM00+/pU5Dp+bod3wmK3BTJDQCmyaes/ALVNwyzwpVEu1d+C7G6fdHPOxuzUHjtWppRO48nYxCpTnYxys0+FRrLlsF7z+hh5/+rk5+g1NO3IDdYIwjRuUQWuZjq2jBHKvxEZuVdi5QfKL/3jA1Ree5I8/Pcvhs1Msx3UGnqapBI0U6L607sZJXaZ89cvOa2Yf4vR5kem0ExAvrbQpk1eyzZQlByWtXkoWlRg9y4hmzRehgZFx07L+6rYnue45l7zrLd/+gteeXex+XanyNQHeH0Uorbn/sbu2nzv96O6N6gSX7WwwGhtC5aESRRxrjMoKbmRelOMafSfBTQngpaIe1pEl6QUjY+wM5KIAtiiNUpYpuJ1rkrF3gqdj17mjY4JgjK/H9JKQd37E5z2f2cyppWmMqjM7pZj1LVO+oZEydyNP38u0TiWVJql3noPbd9nLcRRy4GRAPwyYCVIXJ5+tSJ7oKSd7XIOApt3UXLg9RAUjemGLoS+op0N2/FReealE0ZnrIdQzBK+K+akBP/4dA95081ne85kuf/LRORaHTYa6Rk0rGlpQV5Ygto7NpZMqWhblDVmWcw2TM+GwlOzbNWxeZnFKKzelUowS0BObVZJCZGBsBINEME4MSRyyoX4CNbprd9S321903UuPWjtGiODvB/AzZ84zP9OcX15tf+R7f+mE9+rrN/Dun12kXrOIsUUKjZImrROWJLIM8IytC6AXDJ4Bey1rT5T85KetsANtDuyKPJFplZxKHMB1glYJvhdR80N8L6QzCrn7Mclf3NLmo1+ZY5S08H2fOV8w7RuavqURWBp+Ae5aIAkCSZBKE5cYSp2JFOC+5zKfR85Y7nywQRh5BE27JsDMHvkFTYkgjBSep3nFDT0+9MU++082GdbcvJexZ/Fj8CKDFxqUks63ltlA0gJYFY/dSBqBZtP0kH/7PQMu3znmg7e0eGDvFAvDJiPl43mamhbUpeum8pR1bJ5JFVFIlSLwrJJNGeT556B0Pcsgr2Q/C7DnDG4dyCMjiAyu4cUIosRANKLprfKf/ukKr3ruXZ6ef9VH+v3+c0zcWfh7M3goWvKLXz3w/I9/5s4pE8H9Tza59aEV3nzzEGMEUhonVaQ78SaRJNZJFZs3/ZpKRVqmFy0iL7DPEzi2XLRJIfWERWZMnqeUTV7u6XS3RatsYFCSyxGtIzr9iLueELzvc21ueWiK5U4LWa/RqiumPUvbNzQ8S8O31H1S1nbMXQ8kNV9R8wU1n7RCz6TgNgSe099Kj3n6JJzq1FxiJdW31cRJAQDXBylSnSkJQ82mtuCSHUMePx4ziDzG6YxvP3RTCLx8sm6WqAE50ZmT3TyZDRklrj78ra8Y8urnrfClh3u8//NtHtjbZqnXoCN9+r7GVwJfCgKJ6+GUbpc6JYqbVIm07Hc9gE9SUskgKCSKqGpwingkNg7gkYUwlSWRtRiTgAlhOOLbX9DhpisSohCWj906tfWS8Pnt6Ys+x9cYHvQ1AS6jk8HW+fEfnlt5vDkMQ0bDhO4YhBfj6TBlU4NKFIlRGFkCeC5FZIm1y43ABYPnBDAh6ooTWLB1zuCp1lZpd4qSbiKWn7kZMmKhF3PHg5rP3tXik3dOcb7bRNRqeC2PtoYpz3Xy1D1S2QF1X6SHTEtOU93tC4KMvTOA6xjfj6n5IdZG3PZQwLEzdTbMCjxpUh0rikbfEttl5adJKimGY49dmwSvuG7Ax78a0o88hpGg5ln82LH4OLKlVUrlfjVCVmSKzVbOrFHBOL+9Hox568uGfNsNS3ziKz0+c1eDOx5rcb7TYCh8hr5GewotBJ4UeFLipY3hSlgUoiQNS7/TxO9XvpblfEZRfgtJeoPHmSyxruk5slkFqQGbgtuEkIS0agn1RkzDW+WJfQ81mXnxHwa9pcuB4d8Z4OdXLNYMv99P7pj+l9+5l8/eNo/VBmMAkaCU6/SWwpBIjTQJNu1mL3YdlpXA0iIKxrZZ98hkyCKK4vvcnrKlI93hQRqENLkc8XVErRYxGifsPwVHTys+fOsUn3ugzfmVJng1dNujoSQtz9LShrpnqXtQ8xy4a56bSejKTGXpEOn3bQpyk4Pc91x72qHThsePBOB56TJvSyn6alqwvGTn/YmJG+d81YVjrtjeZ9+pBsOaoBELgsgyVqTWnknZO3NTMguy0CrlslYX/Kt0+oDHKPSo18f84GvGvOHGVb7wYJ+/+mKDo6dr7DvVIFwNiAPNSGukcqOrFenPE25j1TwIza4Pdi2blxI11oqUrdPPRVmWpK+xaYInbTs0MZgIbAw2ApM4Y8GPqbci/tP7unzbzfuZm/3aZbTPCPBef0WEUfjTv//BA9MXzymee/mQOBZceXECgcWPIuLQkBiFNAnKSIxVGCvRptDejrUdyCkDHJEHkWXHpBKpC1J54pIaTpKYdPpsQhC4SapxknB2CW79subQyTq331fn1EqdQ6ebEASohqamFU1taWrjXATPDc6veW5cmwNxdsj0UCnASTV3Cm4vIfAce7sbK+TIAuw92sCTVXswlygU9eCFm5A5TllPo8cVu4ZcsnHAE4djBrFHKxKMNfixmwmoSgCXUiCkrDA5TNhwmQzK+iYTRZR4jD2fdj3kn7xqzIuv7nJqpctt9/scPhHwhYcanF6qkQw9jNREvgKZ7bLhuvIlacaTaj1QmcrLq3NhBWeSxaaOSybUU2CTuBJEG6cMnrg5fGHCU4c0x89qjpyC5+we8YILbt/w4pt/9md+pH/kHfXmhXY9HD8jwPXgXcTjhFOnDvCiPQl/9O9XuetBn/uf8BiNYNtswsW7YgKbYKI4DS5VKkmkY/MUxG4X4qo0IdXgxQ0v8v+TR+wFa+dSRCV4QUKUWA6fEDx+WHHrfQ2eOOLz1JE63XHAOAzA81Ftj0AJGgoa2lAv+cCBzuo0srJZVxcepLLE9xW+L9MbwBba20tcZtFzOr/mR1gTcm5ZMrYBWkt8adElm22yriMDeWKr/Y5h7CHQzM+GSDWiH3kMtHBOR1QUjGllKhlImZnUANmwI0S6ohatZdlgJC91v8LIYzD22TwTsnNTxPUXjRmGQ/7pkQ5PHPW59d4ajx+pcfh4QBRrbKCwUoFwhkKeDSon8ye1Sjm7lT9nzkIGauuATFpKaNMG8sigSdh9QcS22ZirLo5498ca3P2Qz54LY7q9U83f/cCXvzcx+h1/JwY/9NTniaMlVUvuEG//4R47t4YMMLznbxr8xafqTDdg546Yqy6LeNUNY15+bQjWJVLqDQtGOqgaSRIVLJ5JFPe7T44tIN1Vzc0v8bQFYRDSEoWWwcgx+tGTkr+8JWAQKR55qsbBEwGLfZ9x4oP2QXmotsKXgrqChrLUFG6cmUoLj5Rjbd8TLulRBrcn8VNZEvgQ+KSuiUuZe9rge3GaEY2o10LOryTcek+LTi9gZkqg0/ggK/paLxjLa25yLS4ZjxUb5hSvvnHEFx4YcrzTZOhJJ1M0eLHFizLPOvXYZeLsQsqzTmT+M4zVpZ/hgO4nikQrYk8RJZoo8pyV6kU0/YgXXxXzgsvHvPGlI54+IXl0r8cwVHzw1gZHznogJIOhJglV3jZlNUU2qIzyCsAzN8HkX4vYIIzblwlrqDcSPM8gsLz8ujGvumHElZdFXLAjYapu+fNP1/nQJ5s8ebzJQ/sb7Nh+SrzxFdepv/zrz8ff9+bXfGMAl9ICs+/sLKprtm7QBErylUcUn7ijzmLPZ3EIR5Z87nkcPnJrwvxMgrWG6/ZEvPWVo7SAHeanDNdeFdGs2XR8msibftZec5EP5+kMBI8+5rHUldRrcN9ej099pcYoUowixZmzPkZoIuthhAdaIwKNlhJfCWrSUkuBHShLoKyrAdep56sL5vazvswc3Crt0RQ5e/uewfezAq0kZ2/fj1Aq5MsPKz7+1RbK185uq+jvZ2bwzAtPkszxUIxGHm+4acgn7+7ywdum6Mc1mqkO9zIdHmVJGZt3Cwkhc4C5HyVLWr8EcJOOddCOyT2tiLVGx4kDukpQyg3Sn6nF3HRpzI2XRlgx5s0vGzCK3Di3v/1KwP17feqBYLGrePQJn+5ApipJrHuFiySAy2w2a4ZrnxOxYTpxBViJ5a2vHHLtJRHWwvyMYXbG4KUGA9ryxpeM+MRtdb70cJNDC002b7DXbJydemdi+PFviMGtPQ/Mt7un33dpIzqrfK/PV5+U/NzvT3P8fAB1DbigYWzh3CqcW3VX6+njhk99eQqswSaWqRnD868JadVdCeW6Vkn5Vk9dh9W+4oHHfbodhdRuHsrYasdMQrtqeKlBaqSUeFI4MEtLIA2+dEDwFfiqmNHnQF6MSXZ7/Mi88bgMbsfwaVmtlzF4UjpiAh1hbcipRZ9wXCOYkvhp2lsJch85z2KK/PoWdmkOckliFGHkMdNS7NgQ4osRwzhgGAvq2g3BzGpIsoSWkuXyVpn/LPcz0vjHmNIQfJP2TBbSKI6TNG+g0v2PYqI4QUUul6BVgpQx2zeYdMUwXL5zRGiHSG3odAQPPK5ZHUhUrliqQXUZ5AJXSdisWV5wTcTUjMHG7u/UpUCLLLMtsbEizjyH0LBjY8I7/uUqP/XbPg/v8zlxvq72nupf+ms/86b2S0+vdndtnf7aAD9ybBmpuu+4+87HXnb29Dms0Lz3szM8eqCO9XSaI1fVv5QuNzGWTrYUSUt31XLmy83Sr7geuMupsfTiCIHJtlwgrTkVTvsJIRFSplZWBuo07SxJN27NfOPSs0476RXp1nvk4HZtXQo/BbevyUtMHYOnLK4Nfpod9byIIIg4sWj4wBeaoH08KYoAM5cn69RWl5If2ZBQBzY3WCeMPN726iGfuGPIU+da9BOPRuw2pXVVgLboxFFZToDCoxZFjOOkkCwVeGWHyWthtFZ4iZuX4qVAV7JImrm68fS1MKlFm6CFRdiEDQ3Dt7/IgEjyzXsR2f4Zz0BoNo3BjMJEOo/LklgQlwyJAiauuEwmCc/ZnfDOf73A+z47JEzOsKmhXraw8Jx3+CL6ya/L4P/29+5ASunfeafh1JkdCCWxWkJNpgFF9jy59DARQLgj8crfz/5X/uAZu5X0W77cOjBnLWhKgCdcWjkQTgpkwzvdc9ZUWyok0pTmoGSsXXTVFwCXuWwJfJu3tPm+KQ3OifFS9vZ1hJQhx84KFro1hNYEkoo8keVfq3S5y9KhArzU6Qhjj7n2mF2bh+w7O2aYaEYJBInASyxenOrwmNxZKlLoqnQ3ifyUu6SbJTHlnydIEoNODImSKJ1tX67SYrUEqUy6UpjCmhXFZCz3bBBji0jfywyC3AnLc5slDrfld8sNLeWanSoriBTkIjFcdUHCb/2LIVhDYg8Qj/7KXy/fswbgTx88iRSCkRWoqRmMKDfLZ6WTxTJYTs5WQPw15UjpIYT797IAXAgkRYrYTaUCT1g8kYI2lQDZ6/w9VQV5NiJCK7e5lNbFPBQHbume/QzoWfCZgjvr/tEmlyiedvrU9yNiIj5zd51zC3W8KYVfruEoOyjVW7pg1pI+Lid9RmM3wfZ1L+xz92MjunGNgdbUY0OYptOVLAqisoIzIQxF51AWaBbJFWcdpjNVLCTK/UxtBLES6ESmu9i5Wp44BXqRTMuC55TFM5dLGmQaP2V7LRWAdOzLxDmovDNRolEGdvY6XxnSm2acjgNyg4U0Qp9YF28VgL/3Q7cw1aq96H1/fecNi+cS8CVxWh9QvjeyH5+VuGapmfXypet73MW/kSULZFq1JgUonM2WpYmVKL5WaVls1rGj82eRj0IoAzufg6Jw/YjrATwLODPdrTNZYlO9Xa0l970I3ws52zE8dLAO2ken8kSXCpTyRMgEwp2+LOqni75UmXviUeRx3cVj5qaHdFYaDGJFQ4EXu99FJdYdURngOJDnP0jmOYc8g2xsUS+kDIkReEaQKEmiDIkSxCnIy8VrVXDbCsDzVSQDuSjbvUUF6CSTF3xYDUgrAK/8jSIZmGXGXfO2hwxmb2hvevWLTh/+jru2XvS69QEejiO62G9XmGtVEjLte8Rpt0WSq4zih5uJG8ascw9NArw8liADtttduAB4eeRavk9mqYSzDHAlilJP11ycdao4WaLy7pUC2FnzrWPvVHNrcr2dWYKOsQtwe3l1YoQg4tNfCbj7iRYy0PhSuPnbeQVh0UZXVPxNZjMna+VdoJkYxXDkceOVQ17/4h5/8ukWYRLQTyS1xDKOSVeuctWfSeWcmbihnonJwWiZNgKLHNyJkihlHKNLmY6WyLZ1NCWAF5WcQhQyKc9dlBJ1Gbi/0fEm9usBPq9rkWmxmsGTXJtEg2+3Jrqr/HdzgD996CQz081X/9lffekfnzy9QM2TICxGFoUxzsu2peKo6p349QRJ5byXLrxMT0IGhgLo2W4MxWiDjMXdFiQF2HXWQa/c6wqLp90wnqqC241TmGDutGfTT9vbPJ01HMSlIyIk4q9ua5PYwO1gkdejZwFm0deYSbqKBiftYsrb+aQbpZFkwaZG4PHWlw/488+MWTURw6TGMBF4MTmLZ5sJyFwPyzTAKz9kyZosFTwZQaJt3jObKEOiLco4ueKGpbpCOpc9lgW4c4uyXN1ZlDFnO2lUAJ7f498AUmz1TxX5E5HGFOXZiYrRYIFm1PnHWy54ze2D7okvNNo7qgDvj2KUF118dmmw+/xyn6mmNzG6QWCwlBNS1Q/wdT7yhPeffV2Autqlo0oMKMVazZmBvjzbQymRa/FsNEJl2E0KbK1E4aTkdqDruHeNyTZl7iLA1CX2DryQhw5KDpyuYZWHkhJfmlRGlSVKIcDXlJamRzE0R5T8agfyKPbYvTXiiov6fPXpOpHyGcaCmgQvsehYuCIokXbhxKkORyIwE1JAlFhclKRR1heZuSuu3sWBO21nU7YE7rQWSFmkkKWafPLVowzwatCZAWD9oujyYy2LF+UdtgTwrNRaiFWUWNkNo4uFGH8h+3s5wBcWlhkNh4SjIbW0pQnKNbwFcxfgXltL8swAz9yTUm03paWctct6WaZktluhy4XrnhcFuDP2zrrFdQ5uWQF4efiP67YnB3aercyZO8HXLrHjuoIiLBF/fVuDpaU6ItDOdy/fhJM1KOU7u1wfbaqsWvGmjdsCZMOs5C2v6PHQwTbjpMZA+dQTp8WzclYlScGdrRUm9cTLkZHMg7n8Z2bzHktjPNwhUSZbkWz+2gHcTU2QxqTXp5ht6ABfrtnPwFyamFUC+jdSblvGWBFPFA00RRCqGQ0jhv0lkrgoLswB/v4PfgIlJQtLq8y13d1a9M2JAtilC0RZrjwTsCu/iK2Aei3QbYW1K3NO8ueCsWWZwZUosXg2aFOidBXgvk4HAHnZ1oFphlNbvDwVb9LXSeXQynXuPHUMPnJLi7H0UVKl2cvqjTiZwZy8lrknkLF4pTFbpoPmNUGiecurRrzvcwMeO1wnUh4DKfETk7pHApnYfNCoFNa1l4myaDTpz6ruW1Rm8sS4MdbZMHqdZGMljJNCed9mNpdF5Dd0HmjKAszrMXj29TcC8OwkZXLOOc8O1NlzebyzNQ1OHD/CuXMfdWn/MsBPnTrN1q1bGv/pN/77hd3OEq1axihFu39iisBoskrs67N3qRwnv+i2Au5yWnsNwPM5g2vHIcsSY2dBZja1Setsk9dUe6sJcGfpey9rTDZuZkjeIpb1dMbpEaG8kAOnNL3QB6VTeWInymPXrlCTVXaVuvhKEsZ14xSJH03TE1y6bcRjB0ISEzA0PrXE1WzrVIMr4WZsu8RSJgEM5DU/2UUvV3i6ehidDzZ172Xj9rQh7SCySFNMCMimayVZd39uANgSSdmqPMnPh30GcFeD0LK7Ug4ss/OVVOxVSRQDY8FssOnCl7z6xxoL539iML9xswP42bNn6XU7r7r4go0//9RTT9Koub8QJ8XkISmzi2InZEpxp1WYaiKXk1/jdZl7PXlS9DEWs/NSaVKa4+FATlEjrUqgzl+nSR5F6oU7cDsAF0OBvLI8KbO3Svs6/ZDlnuH/+5sWS8MaIvCcPJG2sqoUg3P4mlozXw3TccS27Kakqfs41rQbmp/6rh5feqjN0tgnlJqhlPhpD2Ux8iEL2EVhzwmTJ+YsJgW3wSKpOisiZXCbz3LMwK6kSBncSaJEFtJESptPppWVIHOdZ3d7rdPXadfYx4WJISp4s3ZidLNx+6OGoWQwipnetPHnDx86cFcYjj6RM/j+/fsJfJ/Tp0/iKYOQOtVxApFYjABpCz3+tbpwyp+y4piUfqE14KYAdXmutxTrA9sFmcX8QamK8WOqBGotJTqVJDoHeKa5TR5Uetrk4PZ0Vn9RZW9PRfh+yIdv83jyUB2kh5SSICuNnYwZsjtaiHWX4ko8k8sUKjIlNjLd5Mnjqt0DvuPFXd73uRpGBwylTyBFnvRRUhBlupe1TC7KTF5q9C7XxBjlRu9p6dhcGfLZjo7VRcHiWftgBvZMqgiKUcylzp/CVamCPPv6az3KDem2dJ6y7G8YCUahpNtPOH7iJONYE0cuE6QBPN/H831838P3JCJxWS5ji2H2wlqkrerwtZ+kAHOZvYtnMaG3RYXNC+2a2V4iB37GjiLrLHlGgMsC4KpUQ63TuhSPXIp4qnBLvNJwoEJzO/b2tJtatdIx/O2XWyx2Aqil7okoBWPPIFEo9TEWzPAMtl1mGZq0xzVxG6nOtBX/6GUDPnn3iKV+QKg0w0Sm9qRI3RtRNGPLanKFlL2zt0zO5oVLprOYS6WvZfp1Ov7asbcDeSJFPkE4d1KyVXcC4GBzR6kCdsrmQ3quJoGVB+bVWZWuGyrdB8i43UTGkcCi0drDpkkaffbUQdpT0xc88fjDP73/qQWadY+VfpJbW1Lgyk/WDOX5OzD3BIu7Z5Hf0VnFXUWipIX8uUTJhtFIkYNbllk71eNuuDtVcGc7G2TMrUrMvYbBs3ETxcgJrVzm8shRwdPHahgChNR5c25RPViOH0TJ1Sju9HItSsHkoiRPRO5k5O1miQaruWxXyO4tI5b21bGJ71g8cTJFl1ycIrgrF3qlgjsrowX3dd51la4kUuTmQjm2USnQpSTV3iXpKIqVtRzkFquIyFe0yueCShp/vclZuWRJ3zApm5eHtrrCLUGUaPYfPM3sxt0/fcNzX/TI3r0HjurAD8GMNm+eHb5ay1Ms9BqYyI20za6LJJdDXzuoTO+2SY21Rp7k1qAoAC7K7F1U4hXOhCgFmwWgHYOTjgIu++DlI93SWpXBXQJ5ul+9l5aGZuyt0q+1jlAq4jNfbXFgsQ5+IU+8knVZiSdYOy5izYJXkX2ikAzl3c2yMtpQc9GGkNfdOOD+pxpgPOLEaXEvSYd8JqyjhbNCioweU5BbW5IoJbki09dZgk9mhyBRpMGmKICegdtk8gREkspNWYBbpMxe1B3ZNas6E4CvnqzCmq44ecKVDge+YfNczK33LbNrT/zq7mC8uTtMjmqtRtQbPue7XT71wApnzgXsnKnubb62loL1P8Q6gCZj6xK48xsn/QXLWrs8JCcDtFgH2LkOV6LUhFsCdzqfsNi2g7XA1sWAoHzEmzYpyGMnT1REvRHy1f2KT3y5yXDkQ0OjpcATVWkyGWBOxh7rXLOq/p6wDMu+eBRrplqaN9484nN3D7hvv49tegyTAF+Q32gq//llWy4DdwHySnETprjBlGPzRDo9bmQx1z0LOE2uvUVpZ4hSjESqz40ofQ4QSelrRL6yTMrYCrbKgWgJ4OVva2UIfMu2+R5+7Qz12R6dgWGcxOi7n5TMTcNn761z35NTXDRvGMduez1ddgImLtLke6KE7vxmLP1dUfm6FEyKKqirwWap77AkUbJDKZHOAS/AXYA8K5u1aF2MUNbpJkxaVYHu5WztDqVcgOn7IVGY8Ll7Gjx1vAGeh5AqBVU6N6TcZf4MVYQVR6XM2lkuYWLMXVZnYUp2YRhqLt8Z85oX9nn0aJ1x7JNIj6FR+AkTnyXzwplgcPdsJz4LKrvZDEYJVCZJpXuWssh65rGPBGltsdJaEMYBX5jJgUHrrOLpF/IZvPFMk68hiBKRyvR6B567SW+6QrJh15DadA8T99C/9+7PoZVmZbXLjhmfZpCyQJllK3fceuCufrg1geWk/pbFv1eWJhU9Vwow89kiFWlSsgpzxs4AXkxOzSVKytyOsW3O1Dp/Ll57aXCpVUTghzxxTPCFuxsMhj40PaTIKgcp2YPrZDGz32viTGXJC4cuQXWQ/ETCp1SAFUYerVbIa24a88k7Rjx6OADtMzISP9XiyoBKSo6GcJKBlGVd1VwpmlOFcaAVhXSRjs2zVSXT3EY6IGc7Vzspkk0Yq86BEWngmZ8LWY0LJsmvgp38ewVzT7pwVlhXyp2ufoORhxDzmJOPEiwewpgErccLCCloiQg9ZdPajWLbjcoHnPgQ1Q8kWG9JrupSsf7rjMXLEqWkuUUK8iw9X85mKpXu5pBWFOq84Mqxtcrng0+AOz28bAptWuCvVewOHeF5EbFN+PRdde58og41DdI1NHtZmrwMaiaO8hfrPCqjhik83qwZObHZXJMC6OORx0uvGvC6Fw148liNOPawQjEUGi8h/0y5Ds6SLfmttZbJi59vUSpjbsfm7utsx44C6FIWbC5NpsNTUOfBZ/ka21SylMBbCjrXW/Ezu3OSNLObp7xrRoSib51d2BlYpBqBteit8wolBcOhYblT6J/MySg7G+4HiIkPsR5zizV3Z+V7eRAm8k2jJqVJpmdzBleFJi/S9KVDFeDOdnXID11sgpoB2iuBOnNOnGPinpWK8L2IR45KPnJbC/BBegih8PLkjs2Lq6rZ2IxtsvMpJgBGKQ1dZu6SBrcCk7jWPTeFVuXpe2s1b335kFvvGfHAITdJIDKKQSKKOnpBmsIX+XpRXXjdZ7HWOhYvAT37rkpBb2S6n0/JzsyTWpZCnmQrrimBumL9FuAssLGWmfNirEkcUbop0r9n0gxsYiCM3Tkytg7CByy6XVdIJZEkjEbSzWm2VWCWl9q1TP51wFz5XtkuWmcngQzQ2bJX0d2FW1EBecrWxWZTjrWLAfgFuCusXXrOGmszqaJUjOfFREnM7ffVefxgHTwPpAsufWFLk2NLDC6rsUSVvKvQsqUXeQPEmt0yihmDRmWjqjXj0OPK3SNe+nzH4sPEsfhY+IwM6EQUgV+SyYIUuiXfOaslyj9KybpUEqyySCtQFpf9tAJhXR7CWuHAbYrYo3C/SlZp9v00MVQG9aQ0KQeg67F2NhdekhJjyvDGuH/TWggjCBOFTYvNtEl7Qy0ORHkz6IS0KIBZfMjih9v0bitkShXwovL3ijuwpPWlmNgjZm39SQXYothgKmPtMsALBi+BuzQUP3dPVILSJYCnEsXXEQfOCN7/uRbjyIOGl8oT8tY0Vd4lOLux8xt8QrOs0SdVoJdlSmWTALueFtc0A8kPvGbAp+9ssv+Uu/kSoxgkylUZJmnyB+GAkaRjOZLqSmIzoJcYXNlCi8tUo0tjsek1slIgU9mSr/IZk5vselYJMgs8J63UchqfEh4K0K/FU9ZGKSjPnbFpEZYjO5F62+o33vHbm4yV/+/TB49eZk0RFOQBQwa6XCKUbbpyEFgCpCxlFrPAsPx3Sx52lnl0ZZginYdXckXUpDtSDiKrgaTWhWOSTYAqg9tTFu1lWcuk4qB4OsqbGTwdksiQ932qwZ9/YRqCAFQNpTQNZakrm46jIG9w9kqtcUUmtZyIkhSTYakEqEUsUdiO2U0rJGnjb9ELqaRFWMOOzSGnFiUPPu4Tp9MOjHAj1nRpGS8C/BIBZauKzV/lzQTClkRNCvZnuhmqGj4dsJm9lydiJuKNNOdUtNGVcgATPnd55DITQ1vzQVKloiwhXKb6yiufs/m65974RX3ixPHpXrf72sFgjO97uX5bb0u57Ovy3bU2up34uqKxJv/N6tf5UlfqSq/WgduK9pY5GApJUmZvle/0YHOge2pSkmSVghl7R3g64unTkg99qYGbv+LY28s692URhJfHC+c17SXiLjM7QpRkyQQ48u1cikyiyS58ltW0EpMoEpVq8UTzPa8Y8PHbG+w96YEMsUIySjw0Ik+fOyclRXJSGm6KrfjhKsuc4GZjZWCUpef8yFjbup9h820j0wB1DW6qrysMXbkJUyYvS5hUk5vsPVuoCiGdm+II1JUPWzum3++99szpU9P67OKYhZWIYejqNBAl5pasAXkO4DWvq4Bf+0HLEfVkULlWv01KEzdRNpMppdcZkLNqt0yDV8BdyBKVvlbKoEp+t1Lu0ComUTGfuqvJ3gOF9hZCupEVeQcN615AFzxX5V1VgVfLLSYbkCueeGkilc53zcj8cSdVLr94zBte1OfQhwLCRIHQJEIzFAKdpPYdWaBb1ri29AlErr2dLy8c2K2AtB7JWptKl/QQtkjxCzDS6XWTyZRSXY4pEZgpgbt8nqpaeyIGzFae7EizpplladO7TaZ+vacSmrU+zVqADiMIY7d3IRSSQ5Vci2qAWa5vmNz6WZQ+3Dp/rqzHSvqpwt5rAF6wdvZ1ztopi+sSsMtAXwvuVHNnW5xIg5bZUBsHds+LOHxG8d8/1mYkHbgRutQ1P9kEXW21qxq5z/yY3GzLplRuKin7sgZP56YoiTKKxGjixCNIYn7yTX3+5vYGh05rUBEYTSQ8hkKgkiLIk+VgcwLkmTef2YXZCmMQKNy5thQMrlIbUdqUSTNWF851kdZWgF0GenaYdVh8PV9cTP454SarCZPiI5U6QoC2TorWA0u9ZtFu7rWb9lQ06hYAzwCJLGpH1tNzkxOc1twU2etKlF19XWVsd1GKJl5b9GKqDPSmsAjzRtgM3KWgUqZHxe8uHdLJE0+HdEPDn3yyzanzASgnT4SUhTUoipswf73mAmQSpbp94DMCnZIetbYomy1vp2cL9s6bIaQiiTXb5sf86Hf0+I33+3QiFxBYKxkb5WzDJPscFpJcbVdAbrMPU/60aQIqazZQ1qaZzTQAFWnPbipXrHDyRKSvcyCvc60re3CKtUB+JkaH6kpvUjfHWrcSKSkYR5LhWKNHGh34uF3DfDefT3uu5SuTKIW1VwVs9igDuPJByg5J9kFl8XpdaVJiaSEy1i6K+TNgy9R/LiRJZhWakhYvAO3kSEmi5FudxPmzVhE6iPjopwPe9ddtxsZz8kQopJD4gqKpeMISq+juXLqVkb0+xG1BoCWrsKzPs5S9xRhTbO6VJ3/cVuA1HfPjb+7z9DGf93zKaXFQJEIyMi7glAk5gxcFWNnFKhg7kyjZCqNsIVmcNWhTm5C8IEtJ9z0jnEzJMph5ZWGpPn1Sm5cx9LXYmxJmMuevXMNk0hsP4eTbaKzwQ4X2tZuqWq9JaoF0IwJkkeSZzD5O2oAVRn/GJWX99+TEh8yAXUiUYgRxZYs7WehsVWbt/P0quCdZW6V2YPHsZg0ur8DffKnByjgDtwO4J5321qIqT6qrTrralfC8Hr7LWrvM4OSOQVmeUOxrZCbqxKWTKsZo4kQz5Se86ZUDPn5Xg6WeAhmBUUQ4PZ6tiKTgrt5yZbmSfcpii3ZVSgpl9SnSOjBLafNaFZECX4gs0CykS4GDtWBHiHSTg0Le5vdeiTwmmT6h+LcTiasNT0BLySiU1CKBbtYV44ZmquVRC3RRmJ4TUNH+RPm98kV8puVlHXCvJ03EBCvmBUNlaaJcUX3VTiuxeD6cJtvmw06Au7QLW1mPZ85JI+bTX65x3+N1TKa9ZdpzKTJ5Uq03kSUPV5QviFj/4qx9pOyZ++CFRJlshig32CZWomzhi8eJhzYxL7gq5PXPG/CBz/igQhASKwRjo12ZQwpbWWLu4qOVQJ4u+SrNiWStijKtMLQVqeIAb6w7Nza1jq0tYhMzcd3X4iIF+zrsXSXUYlUspHH13Mv01+gOBCoQ6Jm2hFgyN6WQUubTqqp13+v8w2t++IREeQZQZ3dxJeMlq4Ap6+28iEkWowvyqVbKpkGmKRhdFTuuFaDOgJ2kWjyVKDJGSTf4/dBxyfs/3eJsz3f7XUs36F0Jih0bJuKFtSuTqAD+a6iTgs1ziVL2iat7GVX2Gi3ViSuZPbvtTzY1E37w9X3uejzg0DkJIgIUBslIyHwTqTyzmLnfpbuwPNgpe51VFioLVrrNqFwKnzTTaQvWttl1LFYNIQRW2pydi6Kr4j3WSfiUCRWRrSlrV8c8K4y7EcfjhKVODNqgW3VLElpm2q5CLE6KgTDlv1h+Wb5mZTBnH0hOANz9ErYIMClkiRAFY+fgrsgTW/LAC9bO7cIU0FlgWWx1UujtLNDMdbdM0NJJE9+PGCeGP/pwmzsfqrveNqmd9pbSde2IYv5K/lkrm6TyjExeviDl87Y2g1lUGRYDlya2Qs81uWs3y+zCJDHEUqNizUuvD/mxt3b5j3/kM46ly0AZSZy6KnnBk8g+RSFZshsKWcrfSwd0Vcp8WmtdxWkK+Eyi2EyypP++FVkMZ6vlH7YAvgNytcsnk1IFvrKVRlTPX8rElrQmxbgh+v1BRH+QUGvEaN8z1HxDs2aIjCWK3E6z2TCYrzX3pLz0rh8QTMxBqbCgrb5XYuoi6KzuP19m8cwelKokSzJgy9LrCnsn6ftxzuCeH3PbAx4fv7PBOPTcgP9Ue+fsncUAFXkywdwlYJcBXU58TdJ3ubCp2De0DG6wqsj2lWvFEyORxkmVDOhxrKk3Yt700iG33Dnk1geUsw3TkdeR0AwpBf0UASDGlgZVFnIlK7oiDzYdU1uRJYNc949zU5ysya5dBvQsQZNXN9pstSux+sQ4icnnbH1Zu/rZFKtuAkQUGwZjwzhyWNaBb4h8Q6OWMI7TsV+JxSQU7UtMSpa1IC/AXV5q1tNeE32DJYCrMqNPsngeaFaZPGfwMqBLPncB9gLcOgW370Ws9i2fvqvB/jM1J02EK4kVmfYWlCZIrWXttfKrDOivoU8KAioSKmWJQpZgEWsSP5P14lK6ne6k0URjzZ7NEa9/cZ/79vp0wjT9apweD1Fk+0BIUm+8XEZri8+eJXeyX6UiWUTmpBQ63AWZNm2OqEoUx+i2RAgT+YMSSZLjSDzjGcz9+vScJcYSJ5YwsgzHhlFoGUcW3QhikiCm5iduwI92v1FCFuDYCriz15OsNAn0Sc29hsVzx8SWdHhmD5bZPO3YVoVUyYCdb+GdW4RmwkEpEjhaFj2WSrpOeUPCn32mzrs+1sKKTJqU2ZtCe1eswXXkSYVxSiD/GuxdqeSj6oXndeF2bStbkdE0mES6DXgTtytDlHhIZfjxNw44eNrjXR/XRHEBcoNgLCTKZIMkssq64rnAeCnwTBM9NgW6EqWak1TGSIHbnSPV4S64FLmJYHOLsLyyFyaGnDh3lXmG6xCDK3FIpx8bSxy7YxTCMIRhBLoWDAn9cc6mSrgIGSzCpCb612Dw7CKu0Z8ToM7ALKDSAZK/L6qMXWXxcoBpJ0BucokipZlwS0p7zJQsQSUjPD/i4FnJx29v0u97UFdpRZlCiJJzsk5bWqXBYeJ3L1TK10/yFAxeAn1+lDKaWUFS2nSQA12WUvdpwCmlm2nYasa88eYBn/tKnYNn0vSrm9tLIgTD8ifNwG0tKJGPXHDAzVYT97dVFtQJi8F1fxUd+cV5shOsbVJ9XgH2BNhN7tOvvb/WZ/CsEMtW4kYL9CPojAT69NIcvY6lM/BK/qPrnBaiPCpZPLNMmQA1lEBNVW9XbcEJYGfDZPKh6usFlxPzqpXNpUix3UaCLMkTKZOCzaWrPRlHhlvubfKlh+tuOLgsfG+ZS5Py/G1RATlrLlRJg08EmF/vkRPIepV36fS1jMFtuhWJ092mkClGkgiFSgxGKKKx5pXXhrzyBUNOfNZjbJwOzwzqGM1YOLkhDYVMyQO88sV2X2dsrdK3ZJq7tymbZxnMAugi1+Eu0BQVsiv73tlKv8YWnDxR6Qoy6TwZm5WaQLsuuXBzwOYtdfTUzEWr41HyOSGD74xjNycj09IyvUrlQZvPCHCKDybLWrwUVGbfk5UAs8rUYg2L20pyR4oM6CXtXQ4uM/ckA3WWipcxUrlOHenH3PGAz2++d4rEpKN0pS7YeyItr8TEzViSLeuxdwXcXwvoE8meNTKl4p4UswOtERhROCp5Akg6b1wYTRwbfD/hF36oy/6Tmjvulxhf4ODpTn5kFEPKQLIl5KagLq0oKpMvGdAl6WgVm5aqpoBOf2+bx1vu/ewcOpCKtPyjkCJ5RjM/dZkeLp0zM5GSssVnypy5Zt1nfqb5uct3b1tVL3zu1n5nZeFQYuSPRWFS6QovPN9SjXhZR+eatACqKulpqQST2cjc256ogc5ArUtFVJXsZOZ5l5I4xXMZ3EUxlSplMFWp1/LksuA33z/FXQ83XSGOLA4tBXVJvqFUtsFVvqPCmiNt38qH5FSHEam03UuqiYbp0vksvhbVFWydisqyRSnWyLxsTqDN3YoNczGBttz3mM/qUE4sNTKfIi5TJIkyY01waLm7syC+yr1auaurLlE1rZTXuGT/bukmL69iOQHkTL32db74pAzeaNQ4v7D0g488+tR+fX5FZrcbnhIV9iw+vC0kisj/vcrvUwx7LAeatmDrMqOvCTBLwxvlWnmSyxSRedwTDK6qTkk1HR+nCR0H8sRPeP8np/jEl5vYmgKh8opBIYqiKi1ttb+xrL0Fa+VJNdU7scSt9cAnE+Pli+5eV7vtJzt8TFb/kevyUo2KUEhjSIRGDhPe9LIhTx32eMe7NWEQlzSlwBqPcXbhTJH8yVOCWcreOuLJqNZi8+avrOAs6z2w1hYafIIwcyeFsrSr2sn5bSDSfzRfT1I0loLzQlml04W1YLqladS0GwMdJ8U/6OuicKlcVpnV/07etRS/byXyLX/Y7Otya1d1aHrGRMXrsh0oRVV7l52Tss5Wucdd6G2Zam5Zqj259f6A9362yShJp+CL7HCbmOY1JxU5Mjk19RlSz+sEnpOsti76bdZ4MFEXntqF5RJaa0SaGi+BO3NWpAO4lc4XN9KQGE3gGX7odX3uedTn1oedXZh540iBsZqxce1oRYH3hEwp6XIrXOFWJlkyyxCReeTOE5fSyans+pcrDGXFD18PR6mxs06UOdlHKjLcCZHfm0q5z6vbjWzDTuP2n/RsHu1WT3Z1iSnzT/muW3tX2hIg7Bqgl2dLl92TCtCFKQqsROGcyJy1bSnBUwC7OGKUjhiM4df/dIrDpwKsLnZLznxvLw0ulbDrMrcsAbeiuSkDunR+vo4gn0yiVTOa5eKr6pi1Sm1KpeJQYoQiMalESQxCaGSYcNG2mF/+4Q73/FxAb5QxdiFFDIpxumOeyFBSAnk5lZ87KVIUGlxkwE+fJekg2zSNX8qgZn+mnAvJgs3yaveMgXoeYNrKRmjKONuwO4iJs0H+WzbPIIQiibok4y5au3/VZHOYK/UR5P152fXKL2xJhrj4oUjNF7Unpc2mSkFk1VUp2YGiYO5JB0WKcvJmIplTYnIpne6OE/iDj7Z4eF+t5Hln8kSmm8zaUjuarQSXazKx2e9clrQZi1T8wbKgWyPu1rgBlM91XoiVBZlQqTYUKaOLNOjMGb1gc5MoJ1WM5brLIn7quzv8tw9PEyYSiItfwgoSFKMkuxELkFtcLYmboe+oNbsJlUjZXVjnlZuC0W0ej60NODOzprwaYguwZ7JjEugZBrNzZkq5AnC9qhvmG7Sn2kRxgn7xS16J9lssnX2Uo/sOYKkRJ5IolsSJhCTtDVxnqcqXkjLYK+y89i7NWLoSKFVswsI1yTY8kjlzl8G+Hrgn5UkaWNYSvnhvwHs+2qIz9FwGpwTyoh2tyFrmAfREYF0E4cWIiOJGLzi82FntGUYnr/NemcWpsHcB7LLutiU9nmtzYzHCugSQcJu+GqNJYkO7ZviRNw948MmAW76qoCEyPZGxEgmKcQbk1JqwJQsxw4DK7sxUeljp5omLEptnQM50uK1goTh/ZelSdikzQrTrnJ8syEwSt1FDlNZR9Qcxb/hHz+UlN13DaqeHbtRBe5KkHbFprssoFAzHHqOx2z88Ky43+cWrghuKD7IG0KXnSYlSHZo+CWxbkiimJF0Kt0SuScM7UGfAVjJGyhipY/Yd1fz3j7Q5uOSl+96n7C2eib3XCy4LD2EyGJocR1a+4dc8cu034S6sSdNnf6ZU4ZdeVFn6s5UsZ7p7Q7aprDASKRSJMAipkJFh92zCT76lx9GzmgOnBFZPiCwpiE3JUxFFfJAHl6m2thKUKYJNJ01Kuj37dU3G4tUSaXd/iCKJmpFgBnwL68mU7DxkGcxxDKNQMIgE51YlvUhjpU+Mj/a8BKEMjdqITbNLjCJY7jSJkzoylrkuYuKHuYtY6Osc6BX2Xg/g6+vvHNAZu+dSpATyPHGzHrjTNL0spIkfxJztCH793W0+flsD62nXhia8EnuLkvYuzTupBJdrj/wGFxPnpcTohZisKpM17G3XvlcZryCrOryc4RQ2G4Us04KjYms/56hIhNCYxBJj8aThTS8b0hlLfv53FOdWBQSTTK6JjWSE+9m5FpcWm3cNZwGns4IVJWmSTmTIZEnO5qXngr3LBVfpe5QkTPnUiYmTl4I8TmBlKDg7ECx1YoZhQmItsbFopUAE3tlTJ+wXvvLY3Kunaj12zmuwDeLEdXRXZLcoNvTMAgbWAfLar6vsXbgpZclS1t2FRCm2kU5KLsokuJ0N6P6MqzUJMXzq7iZfvL/hdLcqNHeVvbNdg6vzBiu5gPIKRel7E8BeQ9hl+b2GitYuu2Vv2FLV4RW5ks0KzJoghEAImQZerr3N1fcrlwySEmFdxWGgLa963og3vHDAn39OEsaiKLrJ6BidM3k54LQlYOcBZ6bVReqiZDpciArIJ58rblTeIDGxGpaAXuEMkeVW3N9JZMxlF65wxQUeW+dHXxAEZ5Xson71P/8Ry95Nqw8eaK5+9t769//tHcs0vAY13SCKNcZUhX4RaJWKpCoJnFIX/MT75WIpmY9bK5I4xd7o5aPM2FVw5zq8or3dnJNEGj55Z53/9MdTHDkbFE0M+aERUhBIqElbmnli89niRTIn6yTK6sKLwfz5lFsBUkqK/YRKs8xlNvhIVhM3mcafPCYC2sk6mHylzOIWxMTKOGHHVdLigLHMtmMuvzjmxHnFgePaSdBSgofUSswG+SAmkkCVJWptEqiy1guxVkeX7vn14xFB5SeUQJ9lxN0kM0ngC553+Zgff/0SP/SG3bzgyul/Mxc8du+ey77dlQBvaiTUajE72oLlY9McONokUJpW3U1izYA4WeZaJG3KrLzWBqxIEjn5d0r2YPl1ti+6sEhlnGuS+eAl5pa59o5z/e15CUcWJe/5WJP9hwJopgkdUU7srGXvSTmypqCqoiGza712QOQa2ZLjonBRJgm9YG0zkfAp2NuU2T2rGzepHCjNNZS2WpAljMK1hSmENRijiMaGy3ZH/NCbetz/uM/RhdJSVdo71jG5yJncmoylbR5cWlOMlVAmLaWVpTS/cWfJyiJ1JK27ua1dh9FLf8bIYhuYvFEGRyrZFIhmXbFnaxuZSI6fmWU6qpHEbvXRADffeBn1ep3peoIcHmOmKRmOBZ4uanmlAErVYGXtPFk8VdHcJa0tZBXQhQY3laCycFZKI8tE0akjS+DOvW6RuiY6Zrkn+L0/b3P7w7W0SjBzTJznjXBMWwzyKTFlKsNk+fcsndhKIFQGfymqXDe4fGaFUumurwSfZQsxZVInPSwGkb5OLcTstRGYdIttI1yXi8tVKIxwzwnu3CcDy8uuHfMv39blP//pNCuDAsi5Jp8AuU3vYJsizrra2DSQdCtFHoSWHBXnhWevU6swHeBjM/DaaiBK9mdkaVRRTqwumeN7gsCXLHY89h7TzGy7hOn5qxiPR8U9esGuLTzv+itukab7mzu2TlGvubRnWRdmd1GZuSebf8vvSWlLjGtLlX6Tf8eU/qwp/Zum9F5aKaiKjGWepSxlK5WKGQnLH32sybs/2qIXeW54YIW5i8AyEFmXPBXtXS2HtZX6HCimeVG6EKQMLSap++uBfLLgqjRnr6LJK9ahKI16K3vjstj5N2XxxMhSe1ua4bTFHpwtDT/25h4//qYedRvjOl1id9gofY7BGmIDYwsjA6EVzppLn5N078rYOOsu+zoxEJe2Co9LW4ZnG25l38udkYlnY8qrVzWbIIT7fn8Qs9wL2H+o85uzGy+/pd7aUgL4zu382Z/+9iCQq0c2zHgEntOiVUkyGQCWqv1KEqMM7rwYah3Ql/smC+090VNZTsGnQBY5uMsgd7ag1YanDvn85S0NupF22oPMDizYW5BJk6yZuLAts1hhMqlTvrkno/uyhMn1YgXf3wjSJxi7IkdKTcglRq8OCBJ5Sr/Y3lpWmpbLY9+MVViriGNFS1u+71V9Lr9kjEwyQCcO7DYDewLWtYWF+ZGCPH1OrAN8bEUJyCnIc7AWgC6+X9pZ25YAX2n4sIWrZKurX2Is48gwGMHBI+eP/Op/+o3BzOzWAuAAN774tbzk5d/J1u27MSYpJrrmgSJVrVwBOxNsXmXj6uv1a0nWswJl3rWTFMCv+N2ZXIlRXsKTh31+6jdnePxAgPWqyRx3yJItaCvMXR6iuZ7WXk+PV1qqRK7GC4R/g3IlY+2SSqlkNHOGL+nsfGfkynuOxfOBQTmrOxZPUvZ2QFfpoTGh4pqLI97586tcuXsMUVJi7rgEcsfkiYVxyuahEUQWogqoCzaPDelOFen3bfXIwZ6ICpPb8g1RujFM5UZxuwEmBuI45orL9/C93/NdfNcb35CfzxzgzdYMrfYsnl9DiGJnBKWKAZeTLoicYO5qlV+ZrdfWba9Nv5eBniArgC6/X07qOObWnqFnJX/4sQaPPBmQqBJr5/LEVU3mgaUoF1SlqxXrORBloFfH0+XsLday+TdC3s9YbmozV2KC0Stp/Ko8ofTnKr2beYZT5jdAeTJWYtyuCCKRXHfFmH/+xj4tmThzuQLsMpMbTArykYFxCt7ICCLrAB/bFNhWrGHrnJ3XAL78ZyfAnUqVxLqFJUm3mY8TiBODMZZGo87G+Q1s2DCXn8q8kdrzNL7vH5xqNQ7NzjR3e3KY7+deqb+ekCeTqXcpTAGOcjBZrlMWlrXetwsksyRP+T1Z8rqL1xm4YwZG8J6PN/nIF5uMVSpFZMbaOn8tM/ZeR3dXbbn1kzuVsoQK0KtW6jeM8AlgO+ZObbmJUllLusPlmgKsomxWCOegFIkg6QbX4zxzYaXzm1NXRRiLEM4fT4zFjy1veeWAvcc07/lYi36EYwNTosLSa4skIgseBUZatCn8b5OfYzfWTYnCHzcT9mderJWe5DxAhcqzwo2DQ+DuIsBaQ2O6gefXDnmed1CF4VoG37x5K4f23fOF+Q2ND27fOk3Nj/B9g58PiS9X7K0NFsuMnTO0KKfWbYmVy962CxBlOaAUheZWzwRu4bzvXih49yea/Jd3T3F+yUvN5ayQqmwPltk7m1JlmfSY0+r4NbO+M6xWqgjXWIal7yGqAefXQLidfG0npArFoPeKTKFI1+evK8w9ob0rI+BUIVWsSuerKDbPGf7dD3f4Z2/s0QpiFzHmejxZw+Q2ZetcrhhKkkUQl9g8tqLK2NmuzpYKcydmgv0nvh9lHfQxhJELMOvNWZTX+OAXvviVL2zdunUtgwPUagrtBZ9pNcx3EIlrpYhLMiLzwssVgBNfVzKWpvDEpXUjCiq2ok3/TNkazOpOymBPKrKlrMFlzfKJzzR4+5+0ObuiHTXLjLEzeSKrnnfJFqy6JhM++IQlOgnsr1lr8vWJey3IS1ZhBuxMh2ffrPbHlhg8rRG3+SzvKosLaxC5Py5ddtAYx96phZgN/4lCy5aZhH/3I12WupIPfroFNVv449KWmNziOFUSW8fKRrjRxjpj4NQXV7llWGz57ZjZaW9J4Z0bcIP00z+fzVzJEqr5tuLCulmESjOKeMQP6p+J4uqpleUvLr/m2zh56PN3aTF8oF6Dmh8T+Am+V+wKrHQx0HKys72QMRNBZAmw5YYENcHmssLoE4GkMCiRFlCJBBUYDp7UfODTTc4sTBZRlQ/XOKkoaW9p11qC60iRqrYu9imCIqAsu4SiTON/j0eVtatOQWVIZ/oHiuKssotSpPIrtSu5Di8FoaWB+olR6fcVcSjZsiHhbd8+YPeO0FkmOXsnVU1uknxClLEQpjbi2ApCm7G50+dxKfAsvy5YWlSCzeyIS/o9TlwMHEakRVaWxCg63fEDH/yrL9z13d/5qso51ZMneWZ2B0JIeis9bNJ3F60U5QtRyk5+PY1d0dtmrS7P+wiLRI5MmVxIgxJJ/j2lEgdskaB8w6HTmn//zmlue7AGgSox91qAV9g77QovJ3Ymgb42uJwIIsuypFJ5tRbbovymKIBbabtKv1neC6fQ4zaXH9balDhFCfTVclpXgAUifZb5ewKRFmIJIxBIl/gxWXBtHbsbBVjMklyV0QAAL31JREFUyPKK5474tZ/q8CvvnOLwGR88CvbOdFz+iRUutS/ThJRj8yQ97zpj3xKDy8rr0nVIs7Om9H4+wLO8dMbOPmy1a1xy8S4SY5h8rAH4xVe8EiF0eObQGforZ4gTTZLINFIXVAqr1gGr6wYqSxEzUV1YkiTYUlCZBpkp4JVMEGJCkogE5RmOntf8hz+c4iO3NAiFqiZzKsztTpQLLNeZb0LRSpfFLV8zwBRVxs4ZXKzzXob5dVaDchq+kshhrVSZ7KZaH9gTU7Fyz1hiROIyhynQqzLF3T5GSBdwosgKsGNjqemYt37bgMTAr/zBFMfOBwXI15RAllcip5+zERImlS9aWJL0VlC2NIZDimLfnwrY07R/1hVUYg+brgrDUHDZ/Dbe+l2vCaM45j/8/NcBeL25Aamnfm5+0+YrfJ54Wbc7ZhwFadNDNoNvPd09ydxlYFdfT7K6A7wpvZcBvJSSFwlKG44taH7h96f46K0NQpluwSae6ZiwBSXVtPy6IC7Avu5R+mLSWfn7SpPJv14epZwBJnNVKqW0JVAbW2b2or1NpHNPjHAsblIWz0pthbUIazHpM/mMFDclytOG73vNEK3gF39vmmMLfoEaA+mdUjoKgjEIQuM2lYgBD4G2kGQ5CByw3YpqU5CLdYGeMbpI+cEYQS+0JH6Di/bs+PKlF2//uYXl/tdncOVNc8udn+sKdgxrwxbTfq90IQt7r5zZzBg7CxBF+p5MA5LMOszBnTJ4HliWpIpKQS2EqYBbqITTy5p/9wdTfPSWBqGacElkmblT9qYkTUgLqii5JeVRDCl4S43j68iRDIwTXTolahZppvTv+pissHsmli8kTnU/HUgLrYybtS1zJpcYmyDKEia1FIuv0wYHkQFcuZXaQpLEaBLe8m1D4gR+/vdnOLPsOab4ur+R86SSlMGTlGg8nJui03OfmBTslbqgKtDdOJJ0UH76rwsBl12YJG9+abj/0Uf+snvtdd//9QEO8LzrXgXWPn7wkQMv73Yeqnl6nbrtnH0npcjaQ1IAeFKfC1GVJw7cVeaWyvD/t/fdYXZU99nvOWfK7du1Wq26hCrFogrZIBeh2LgEEsBx+RLHsYNbbMc1xF9s7NiJIU/AJC5xHEMc53v80RxixQUrGAwCgcAC0ySh3svuSltvmXLO98c5Z+bM3NllJSQLnO88z+reKXfu1cw7v3nP+2uBTfAva4q46+fKclM2DufWHksV/qq1WGpy7dg6aCqZzppPUBG1wpQGEzdBhPF4w2QUwggKhmVupiapmt0Z+ZqxJY+VFc27tUatpUVoy811yWJVE14IydGpqhLFmbLkkpNb4Lh6dQ0v7LJxw21lBADiypxZt6oKk1Dl4gQIQqgEBXVNLEGiBBNpxUlEIyM/BY3nIUx1raJElvXoKADTCm3P9A/UPtQ7NZd5bmnWytYSw94tP/yM7bRv4sKRJwaILK5Z5DLulJAslyZrcIeJClMJNzwxY0m0whLAjBSkCtywCNY+ksftawtoUBYHUqvmpyDqROplJDXvKN4EKe6NJE1JyIFZvNsArQ68ggb2eLLhJOzchCtNb6cB7vGpCjGsu5TspFJiBmrpEnCxh1NoRUXIbUJp5YLLmBXBKZxQ4O2XVfGGi2sg2tUoQuPPdO+bQVt6WUAI6Y30OVBXikuNE9QFQYOTKMbFU+/9ECpDnkTBV4C8njmH4lVL54nN24vh4jPfmXl+My04AMxZsAJhULt9Z/25BV7tUBFKG044ctRrmm4gy5IDkcWWy6bljykJUe8ZCUEtDmIB/7Uuh8/8QwWbdjkyYVhbbpi0REuEJAqFNcFtcm+SqMkyjjw4weQyJZzE4CapmwATgz6N40QQkfmn9fCIt2h+bW43rXwMbhJZeJmvqTOBNE3RXFxbcC2Q6MRP7fmENCE4c66Pmz4+jE8z4CfrCmrGSFK/Wv0Iogp+Cqb4uV4m6qlCoj4+vjI8trLiDAIWkc1lLSHzQKEMkx5dXZ1jr1t50e2lYrb11r85c5Qq08VQ37P/UGlfNCAEj/i3GdnHjApSlq67naFzp72ScckHaaUjSkJUfAkJQJgE948eyuMvvp4B7oRaEqsmRNGSiJoQGI6d2IpHnFvzcZ2T0iQNJovbJxokAZlUxLzcEw7xIqsjH3VzTEripoioTEoHRzJAqyni0HivLXocqEWjdaEZausRLJnt44aPDOMtl1RVLKzh7eSm19OISDQtOje8oZzLEshcIODaogNVTqRlD7WHVOroYfR/Ebhg2YKBRzY89w/z5/SOe6rHteAA0Nq1FF5jCINHNoBiKFUWTXsXRcShkbLYUJYaJNZaTeutrXX02YiWCIAR/GhdHn/5jQqe2+7IAplpWtL0noBBAzzlzNHgNbi4OXl80ZgTg4K82Kv+8ISURSDbvBumOzHxTKyLG8dm0RRdbZUk+LiIVJWE84fI/bhKcNBVw1VuUfT/DiOJmYJ4Ic6c4+NvPjwMIYAfrytIPk7NaTKH5u/yhyoLLjgizS+audPonAkiyzuHAEJC4BOCAIALLVgQUMLR0V7E+a9agM72yoQ2ZEKA54rTGqE//IFK67Q7GyMDRcviqqe7kQOpnDIJ4OoMCaiZOWKAA8kJZiwhqvcMEIzgp4/kcd0/VvD8LgVuqvk1HRfcVM/SteWGOaE0J5YiUky09h1lkSAVh2JOIlMSITAB+CdLyLOssppYxknJaYcPj3i2/kxcTsIEstnzkkQ0RU9AuQCILhxkTDCJsuKStghwSlW7EgEhmCwl4oU4a46PG/5sGFwAP304H588ALLdmga6oib6vVAnTERn1jhpNLJEXP3puBSNI8EF5s6ZMUYJ/cDcWVMbJwzw0DvKiy3zHmcUw4e2PVd0rIYCeNzjJglwxFY7NeJah6YVl5+l+j2TOXj3PprDp2+pYNPOFLgTE0orAW7omXnE37ILZ2br37GlogaATde7XB3nB5qoJsl/UheseXXCDZ/8QGJN5AAyaIg2/WatFLNmStR3Hia4ReThjMGtrTpVLbF5xMe5Kksl30tcEir3TdRK8ziWzvbxdx8dhhAEa9fnEMKw5FzzcH0nI14W450v04rI2CJOGeqCSaBToD3v4J1Xvnb4rCWzHj/UN9TsvpwswJ38VFBm93uj9as6us9+wB++z6aWpfi2HwFdA1ZAPoEAPSlC5BzSlyWuBc2RmHRSgDOCXzzh4hM3VbBlj+bcaVpigjrWvBmR/5mmHEs9sUxNIpvKQBjnNz2hNK13VkaPBmdmENbxSiumZJi6CRIc3PBwioirN3s0k9bcUFIMt356HZQDiKs6KYTqchTql3DjV3khlszycfOfD+EjAfDA4y5k9bf0dHmimYl+WolEvUQJcAYwC4La8IQNvx7iilXn+SN1/6qujkp/pVyY8HROCHBmOQjrz6HYOme/bQ3tGPMeW8jIMbiOBPjAmEDV03REoJQT6CxpN7HODYSGdjNN0RxPgXvtYzl8/O8reGG3oyID00A2pUBjYomYmlBk51Y251qmsnT0fgbQ0+pIAtSRcZ5cq5JJ4VrE88r0dU8CPklZdEm1GLBJq52kKmJcyhJPTgkEaNw9TVbzkVWsqAz2IkJEkYzwBRbM9PH1Tw3hYzdVcN9jOYSUQvYiJkpR0WdI6zSG2iK1TEAIdJZDFF2upRyMeQz9ow7AHICEaOtswYrz5+9YtmT6/g3P7MBFZ887cYADACEMI33376ZW2/ut4rIHg9E1eHaXhf39Fu5+II9NO23o+IWz5vu4cmUNvd0BlswK4Fhc8jX9OBJQFMYAkE3AQXDfBleCe48NYWv0pXm2sawsuwa37iMfURNkVKdKZexIcIuEZTfpiKmLw/zNqf3NbSb4jxvhacADSlJTz7+Euz4N2BhLkayYmnjGXSNkCG3S+aMmmbrmoebg2r0PgCvpkJKYuoACVIQgCuRf++QwPvp3wC825GStFSt+fidOTGSxAZdyLJ7nYVp3gN9bWcdZ8/yIpz+/y8JdDxSw/4iL53fksHr5BagF9P3fueeJ3b//uiUvelondSmEGAZQnt9/aM2ta370L5d87Y4QT+8tAdxGdJuLEEAAwgIsm9fAH72pimveVMXUthDcQ3wFICKEUBvYM2Bh/VMOrv+nMrbssmUuJdXJwhN5KxmgCu44BHBVArFNZDisRRD1t4y8ZVpBoXKbmWQcFfGJ3kuAR/moSl9vXtZNA9QroSqfVerMLNpmFgKKjxPVQqRmxwul3etiQzoenwjVSYLHv53FSd+JXqKMJ2o9MqarhKXKcejlKDRCjOOQS8bok0jWDaN9CBUgDrB5l40v/FMZjz3lYs8AkxclMWFRePAFuts5rnljFX/0piqWzfVlCAGkY0lEdyzH07sEvn/fdKy46NqHrr581Xv7B6vbutqKL4pdNhmAf/GLf4vzL115dNRvHfnpQ841P7nvEEipFTRXAHFcCFuVZ1BHO3iI4ZEnpWVftjBEIS/UozT+ow7BC/tt/M23y7jlByXsOWypRGHTUtNm623EnGh3fFQZVgVT6ddEz3vjlRngNluKJ/ZVAI4TIAyLrvR2qsqGEb0/kWCOlwniPM7kclNpOE05gejz4+6X+ZpshhXRLyriBwuJn1hpaVRybRE95SI8xgoetNwLfRx9TIN6ggOdbQIrz/MxtSfE5m0Wjh4lqjWQMXkIgbZKiI+/axTXvXcUc6YGCD0LnueiUc+hVs+jVs+h4eXAQ4bp3WO4dPmr0TN10aeqo8+vmzLlxa03MAmKokd390J0tbc+vuz82j0X7R654unNB1HKW+ACqAVALbAgQnVW8h6GPYGv/98S/IDgc38yipYiBw+lBacOsG0fw5e+Vcbda3Ooh1Sa4abJo15O0hJ91qk6b5HmjWxZUNOVBN82OLXJuyP1RF9gg94kYlK0OUrwb7VWJBbTb1NPR7lROyp1SGhaZcnycMrlJFXR+OHq55qNfNPKSjIjSBbrJAyGDEmSr6pSFlVBXPK4Qh1XT0A5SCDQ3RHi3ZfX4NrAF79RwvZ9FuCo+VoAtBQFPvueUXzwqjGULQ6/yhCENvzAhec7aHiuLB0oCBxWA3EXoth+wT2lwtLHgaOThe3kLDgAfOebN+E97/vTodevWLJ+41Nb55Pa0MIy81CwJEA8wWQOqMrVA+FoeMCzWyxUG8BFSwO4LkAZwfb9Fq7/Zgl3/3cedaHMsHbjmuCmhjs+lV9JiRRZHBJb7SihQT/yX8x6Jyy2acXj2oOxRSTRdhLRkbg5F4msM2laji1sswXPssbmE0XeU/rpQRL7NB0LphUXmTczjG1IzT+a36sbVsuo0U2fPW/RQiaBFBksCiyYG2JKB8evt1g4NiQlwnKJ43PvG8MHr66i4nJwH7KGObfhBw7qjTzGajkMj+UxPJpDPWiFnZu3pmXa2z/KvUN7qDX/5AMcAL79ja9h1aq3Dp27dMZZYa3/krHhAdhMBsLUAoJGIADux65ZItDwJciHawSvOcfHgaMUn/96CXetzaEhaNyWLa2SJLh2cwqapbh31CxKc20jBJYaYE9TFWJsT6+PQRpvI5QYXlCTdsSUJQI4SQM8vW4SAEeSsmRu178ZKfCbIE19rhnkSbqRdGbFvg2qaYz5pINxoyB5PF2HzWECi+aH6Org2PicjUAAX7x2DH/6+zWUXQERaI8sBecWgtBB3XMxMlrEwJBMR/TpfHTNeO0Pj/Uf/GH7lLOPB7KTpyh6LJzXg2m9vTcc2rdzbugNv33PgWM4VgO8UEDwAAh13p56XlKB4Tpw+5o85s0IsX23hTt/loenjHOSCGb8EWqcUWknIocOSVnriKaYFlA0X2gjitCkIkBsFRFvSllAg5MY+5HUpkmNTHe95CppSpJIoFHZMtDOHmJq3oi6cGhqEq1XhTPN7HytpEg6Y9Qg51LdkgUyqWrPHRryopBSog4JgK7PoiRhdf15QOBYAm9/Yx1HjlLs2MfwB2+toZwTUpegUj5m4BBC+1dC+CHBviMOfN6GjuLc27umLbuhv+/A8cJ1/GCr8Ubv9JlYu/a+oWm9s967YHZp3cpzKdz8COq1MRQwgmmVKqYUfbgIVbYoULSBt62u47IVHg71U3h+6sJGnFUjMIOLK8c6iXi3UageJohFAmzjRQimgdnkxEnta6pcJPXzEwskvWJyOE+DOb3B1MM1/EXGAWJ5MAYw0lwaMDq3Icr+SQRfQQdgGSG4KhgruY9aD53WmDE44NgCU7tCrF3n4p57c6j6OqSfwAPBwBjQP+qD0ipay0Oo+kfx8DPA4UF73cyZs977xKO/GJoxvfe4AX7cFhwAVq9ejf6DT1QXzH6t98yTt+LcPf0Y8yxctXIU77qsigMDFHf/MoentzHs3mHh8tc28NcfHEVLReDaa6rYspfhyc02hGUizESImvpp622Iz4SYcSZoriNovjdLsUVflZFQbFjoBD4ji2xMI1PbsmJOjg/eCpsmSEkck5J23cs3ZrCVquKqLblhuYWy9LJvZexI4lwXV00WD5LAF6AqPiWOfYkTl9NlKeR+qfcgUQMpUImyJ5628e07Cth2gOFz3yqBA7h8ZQO7dlp4equFu3+Zw8EBC++8rIErL6lh49YxjAiG5a+5zNvbJ6pvWPmGE4HqiQEcADqmzgTnfMPukRUXr9u4If++K4/g/W8BbEoxr7eBSy+s49GnXTy1ycbVb6ijrSwgOLDyXA83fWIEn7i5jI2bHQNVsZWOZzSGRVdTHgtIxnhrhw4MtSQCtRgXyOPVGky76oHk5yYF4xNBuMZy6rMJ76YBaA34qJY40QhOfiZZHYsY22JFRaataZeGShYWBIQ0t03RcdxCxaxE8ebqeskbhapEYQFqAU9ssvGJm8t4aKMDMGBwmOAL/1TCM1stPLXZxoZfqwYFdh5f/X4eBwfG8Kmr6o1zlpbWzZg9dwMhx000onHCnyRkCgaOtX7uda9+69fe/eaF9a5CBw4f6UDdywGgWL/Rwf/+xzLWP2PDC+WZFlxABMDK8z188OoqWgqSwiSfySQGfCK6DFG0YLqPpbbmkbvd5N6pbVlUBSmwmyBNxKJEqkJqHzRb8vQ+Ew4xifWpx3+cBGEAGYblF+ozTVk+infzjJhwJONS0rVVeBrsBnVJhhOo0FYLOFal+NadBTz0uBu3SSFy8nnxWT6+/JERLF/WkNfZyqO1LY/Dh1rx5I7lA95Y2xULZrX95RkzW04UpicOcACY0pnjm5955Ppzl065ce7Mbo8QDscOsP5ZG5/9Rivu25DHD9bmceAw02cVQlVy+Z3lDVx9WQ15mxvBOyQJ6uhVWm+dPBJPKEXmxNEsYJ8EtkhY72YAJ9dNdAPEVj6DvqT2GW+YerbWzoWxQYy3fyoQKwleknxNgNZ4j/RnTECrWKLxAA0dL5qcWJoGgDKBakBw19ocfr4+p1zH+ilN0dPN8Y7Larjsgjpu+MgQLj6rCgQBRMhRaZnqcTbrX6ziAg8vcZwwRdFj0ewRj5MpX82Rvd6xgfBLN/7Aof/x8BQ8tdUBXB9gdckXuYDg0q3PucCMqT7ec2UVjz/v4tfbLaWomEgxwA5lvZXWHZ2mSDURSQXFBCmQab3TMSVNrQCbTHkKxJnqh9GJ4DhHxDQEmup/RLRCA5/E65HYP6YpskyEpBiEGAFWxIg4VK0A5fHjxAiRsOYZygpJUxZEwI9ATgW2bHdw238Use+QDeS1wZJfTggFQiCsMSxfTHDLR0dx+y9D/OxXc3iuZcqXnFzbTb/eOviSAf6SLDgAzF7yB6DW/lpr18x7NvWvFDfe0Yvndk+BlW8BkMOrzwwwpTVEGDIEoYWA2wi5BV6jOH+hj+XLGrAZN1CR5uCIlRMk09CauqHRZGhsU6cGdQMY35JpwdPUgyjgRTQ5a07c/HFMtFak7oIsa51eQRIbNT0hET2IaYoEetJKo9kiG9ti600NK617b6ZVE2JIjQaw1Y8mBPBCgkefdPCrzQ6QU/H71AaoA1AbfcdsPPyMg1A4GB5pxbyeMj5+RYAvvH+hWHb2rHuO+cO1T3346pcKz5duwQGgjoXIt5e3WoXeD/3JFa3feujhJ+j+YYpBQXDN62uY0srQ8G1wzkAgczQhADfvo5zn8i4zAU6SICcG9451bgPIMCTC1Losq5y1vsnapzGZAvK41OPFeEnG0JY7WxdP7peplhBj8qmtLjFiwEFU1+HmxOTkMVQ+g06O4EQlOsSNrQiUJSckikIUkeoSWwYOYKRG4XmWagKmutsRAhCOI8cI7vhFAcvm+xgcqWBgsITps8/lr7tw4Ye29s3e2lnoPxnQPDkAX3TGhXj8qa3e765a8d3De3YXihd13+wFO/GqJYew+oIagqCAesMFADAawrZ8AAK2F+Ky8xq4c22I3X0OkuBW4bDE1L2T3DuiJzS21Am5EAb3pilQI/4qfROlJ5lRBs94wCYZ6yLEThLlGZGken0iBDaLGhkBmvo1imlJAT/Bxw2KI2O79XtECRCcQzW4kmjVNSoFiSVDRBo4T1h1AuBQH8PaJ1wZBUdsgLkAdUEoAyyBhm/j7l8EGBj2sbCngEWz5yLMd3xyxaLXfdd2t4atnReeDGieHIADwAWvOgNHDh8Or77yLdsP79s44g/uLx/o97BzfxHdrS0IAwsWC+E4vgIUBw99XLAoQHsLx+4j+upp3h07dpqtdyr9DGpimeLapks6k4MD2cDOoitZasrJOnnHMTRfBlIOIsMKR79fxLmd2oqny0vI0hHyIAyI3ickQoKIpmgtXJeAIwZN0aoOIcDRQYYnNtsqTsICmAub2ShaBC4V8J0cerosHDjKsbevExevuHhk2QXnbe87ciSc0r3gpJ2vkwZwACgU8ijmBte0LDr3w7Whw1+74XrRTrwA71zloKPFR6lQRxFEFgWyGGTfGG6wk9hya0TpsseJ0g8a4DqAKkVJmm8Eg4sbf6aVRgroacsdy5fZwM7w4J/QaObiJNIs9IRR0xBC4ldAhyQbEYOKuCeeBFAaN2TdHkCeR1m5lsSJy1y76Yks6wCjjgpJKyuq5gpiDk+IAGV6YmmBUNnRrcMN0ZITaCtT/N7rc+id6mLH6KVHL7jg/I+/sGdkzexpLx7jfTzjpAK8VJYp/NXqwPfz7W+y3raq9YaNjz/atevgCAhpgDEOx/ZVazsCyoDHNtkYGGSxhGTWFiS63YiIU9HQHGMyvuadUevEVFBS1hxIrtNgjcBrWsc02LP488kw8eMcN3LyGBQmwVYiuiILADE96VQbOWQJtIR8qGNbDHVFAp3GIbQRF6fgXDlzhC5BQSEUrelo4bhosY+frpdGyyIEeQsoOQLtJWBGJ4FF52Dx4ov6Xjd7xWd56H3/VYt7jufMTGq8ZBUlaxQKHahVcdtbV7/6uuXnL+4LAopanSII4ngFHST/8w0ODvVbyhzHyQ2EkCjWOw6sSsV6I55YRm57KCtOs+sMRgQow1qnubY50RRaRkmPk2G2j3cYPyXh4ochH+ptRnx4plYO3eApqyAQlJKilnWeLaeJ+BRuLHNOwUOKqZ0Cqy+sQ0Z4qcJRAGwGuDZgWwRtUxb19c655DoiyG2tLe2n5FSdEoAD0po/un7ddyul0mfaO6ceBeKaKhYN4eYCbD9AsGW7iwBm8XpLWm/IeG87DW4qsumHpicpqTDzT0cEJNw08chi2KRpedwPvuSRkBBJcwCWSO0TlZQwnEVxsjcQy3vJIKykPJh07ESg57E7P652Zfb+MTu5MXBhIeSy4dfCeR7mTG8AjRAB57JKVUjAQ47p03uP5nKFzzzwwAPfLZdLpwqGpw7gAPD6VW8ED2v/Nm1qz5/NmtU10lYeRCFfQ85tgFEPP3zQxfrn8xCRhGRDd0OTyQyiqTpssiNxrG2bwVUT3QCxRScZ6ybGKGl6g2bS/FKHSLw0fY3I2kjibVE0IWJAx9GFRogsNEhjr6UEtCkhNnszE+XfjBYoXLCoxFsQWuChhRVLPPzepaOAqIMHDQz5HHuHQnT2zBzp6en9s9HR2r+9+c2Xn0oInlwOnjUWzRnhXtB6eznXEpSctu/xxqZcLg9sOwjc+0gJw7UckFPgphYoJbAp4JrW2+jR2ax9p5w6RhGftOXOAroJkOh9WmnBBMA/1dRkHG3c1MSJac5JhnpocHUOVZzNdASpWuAyyEq7Nrkq+KMz76GWtUeTQlbWp8Z5YCChfGb4nkAlz/E7F1fxowfHsPUAhe9VMf/sufXWrinva4jK3QcOjk1YtOdkjFNqwQFgxqL3YO70Z8KuXnK3W5z27nz5jPquAwG+clsLHnq2DJnH5gDMBqEUFgFyRBbwiVzzxIgeTEmECde8wccTIbJIg5o0rUvGiZ8+GdAcEz0c0g+RyMJnxqOQjPUk5uaannDSRF3MOHEhZDMoSUfMloRxcU7Z8sZCEFqoNVy85kyBz/3xEOZ0jeL8xbPq82d1vbulzbn71zv3hp//xNtP+Tk85QAHANL6VwjGaiFtX/7DvrF5f3jnLy+s3rG2DR4KgOUCzAGlDA4F8lSWgLATOZYilTsZ1xaM5UKRzckN6iKBTBIqSRoskwF1Yp+JUHgi9CWl4BzPXZYIPjQmmGlwm7TEBHFTh2QzBqWJg9MI6CGnKhRD9tr0QwtBaMPzHPAgh2te6+HGT06rvvr8aX/4461X/vDQQCP85y9/8KXCalLjuHIyX8r46xv/G6vecB6WLjvv+bkrcjs5Ka46NlTPBYKCWAw5SlCgAjkmG0ZZFBG44zIQRoisqYWncisTVjwD3Fn0JfqMuV/ijxj7GdupPmZWgrH+HAFNLE/w/ePNG8ZZN5EEamqcTZq+ftU3EzEm0unjRYeKbyEhoBR6ohxKcUxK/ATk8EMHsBYNzZk569or33b/7Z0IcP1HP/Cbgt1v/in8rutuw7LZUzBa9/5w38DoTfeu29TRd3QYFYfJGie0uSKV6YY3rXlcNEdEy2mARBnuJqjj6x5dzGRibnNNEl3vhJA46958T2mcUc8Iieqo6PXNBYKSyc6Jm9TM+KeIvLTMeK/nI+kucWaLR/P/SKOakLF/IG4chqhAEInOpywqRI2CQMxoY6O/K+6vFLe2YTSEzRooFEuwShcM+LzzEwHP/1vZ2YZi72dPCDevGIDrse/gAFzHeu/3/vPRr/7rHb/sOnZ0GDmbxhcRJifWQEuWetAWPitrPgZ50mrDeI0qyZrgnwzAiZF1T+IyEdQEcbTtRQBO47S7qGpWqqQFMapvTQRw+X9KOcBgWmNhWGN9M4iY4hmdqzWgkxWwjD5NiG8Ys7UkoxwEAZxcBV3TV/eVul7/F4L7t1K7+7Tg7JSrKOON6T0dGBkZu/UD11xCSg792+/+4L6uoWODcJiFRI/3KAQzfjwSGBPIDHBrS06Unp4GdmaIrPl9k7nttTKRtT7zGMmVTbFYE0g1k+XiWfFdWlaU307Ua4pM6LbZUCdWIC7iCZHIDZXHk97ReAUxtnEUCm2odF/el2tfdV0Qiltt59Q4cSYzThvAAaBcLmJgqPrdK954UZB36M3/+eMH23btHwDnXMU7GIH+SF3jNBUhpjUkifVABsiP43dmYdZcTgQ4IRUENcF3mZgmWRvH+6GT/PFRsoP6MULHtBMZDqvPoeyuQVQLQeO3Eage980nJOE8UhqkAAG1p6Ft2iXHWrsv+jShwfeYVT6OM33yx2kFOAB0tBQQ+N73f/ey848ePnhw3tJFs2/86X8/ZoeCwqKyKZJs6CWtD0s8dkXUMS2aeKarUgHxXCqN0PRIoVHvou2TrnUebRdpq6kusnmsyTwRUjddEvjJH9osawrj8M3hBOlSDhrsMj5LxY0TAiqE0tQIANXXlMt225yICOSae3PV+Ux3nPB8YOqM5X7Ac58pd63YLpD/sWXZON3jtAMcACzb4Y8/uWXNe95xubPhqReqgljfvH/dU4T7NcoFRRASBKqsNNEhoEhab13FNa7+2qwCJLTijN8RrRP6gQ4DMCaM0lCXn5EWMz7WcU1wzCdM6mnT9AtJ08cS3thMx5Aw6Yqu1S4/JIhBUTSZIRLcwnAiyYlnCEIAIaQsGARAseDwKdOXiVLrko9UOhb9a31sv1foWnwyIXLC42UBcAC4YNlCPPjYZq+3d+r35w/7DwRe9eq+w4e/vHXnARyr2xj1CHIMoLaAWU6FRhMzosoWN08w9TCL5uhlIG3VEAEkyrQhsbVuMswGF9fLcQhr9E3IRJ05iUYK0KaSl5okJ4oPGJYc5g2tIgXj/zeMzmvxFxAimypQAtV5RFrwkNCorYnO36CUw7UDWIyjKiyMjNpwizPglts/39E1806nMGVvUN/ntXYdX3m1UzlOm4oy0fj2rXfBLbaxscEjn3fpgc8dObaRfePHOdTGiugqCBQdgZwFOJaAbQE2k+C2DLCbYbNAMtKOC6Eao8YXv0lJIbHeHVMeknifVli0ahLVBE8pKxPVB4/XpZxaVBjfIxK5p6aDixj7QdWDMR080nmjvZLGvEZTPSUPMgZYTNYTtxmHbXHYdoicEyLveqgUqxisjuAHv+jEvOkXhucs7PnKOedUvrRt22i49LzfP93QaRovGwtujmvfexX+/Qf3hB++9h1fqI31WaRa+ORz+5901zwMcB4X24ytt6oJrgrPa9BokyctrgR1yKGqLgkdXmGoDEnXblbmWZwJk1qpvwjGjUNMFaJ5mOwnSwFJu1jN+QQxgJyQ/yCiPk/6fxlGYbEEYRiDPPoKQkBV7iWPuIy8QZnybIZcUkPLCrFvqBONwtsab3zLqr+f0dP+hUcf+i8sv+TlB+70KXzZDREOAsQDBPvbnz289eK/umUtbSG1i4cHB6yCy+DYBLZF4DAZX2wx1SXB0KajY3HZQjoMBfwACLhQFzt5MtJauu7SQBKWOqXU0FTxe2p0dCCaPsUWnFFT84axLFLfny7QLwxZVCDWyw3nGI2dPTrMNQwJ/IAgUK8hTwI80sKpNBy2JeBYAo4dwrZUb1Tqoa2tHHR1BOudKdfwqjhnfRiK61yHobfr1IW7vtTxsga4Ob556z1wHLs8PDz6z1u37b5m776DtFqroeBacB3AsSTYLWp2ZjAmfUKC2vPlX8MXCEL5RAAMytFUUpkYTplsgMcgj+uGp2lJE8BZkqZEAFcUhCnakXTfC2PeoZ0xavKnAa/j4am0xJwT+CFFw6No+BQNTwI9SVHim8NiEuCuLeA6ISzmwXVzqLRM5e1ds+5wc6U/DUN/ZM7iK043JCY1XjEAB4BNm3egUMh17tx94GP3P/SrM/sHBq94Yet2tJZtFPNWxMWTcSDx5DHkQK0eYrTGMVbn8IO4EwIlCnSEpECXAjiSoE54NyPrLZcZiy05o8Yyi48f9eYhAGPKVZ7i3k31XgzPI6OaO2vPI49uFi3n+QHFaM3CSJWhWicIAkk39LH1XEUCXII85wQounX09M6Bm2+9Z+qMc5+ttE67JfDr/W2dc043FCY9XlEA12PLtj1oqZRmbXxq89c2bX7hiu3bNsNvjMKxLViWjB/T/JkZABNCYKQaYvehAMNVjlAJD4wKeWHVBWZU0p1EkynSDPCmwCuSbDolQUsjcMvjKoCzGNwa0AmJM2W9yTgAt6gAZQJW9MejV6ZAHnKKoVEHO/a7GB6T1luDmbHUXEBwEBKis72IJUvOQO+M+fd0dC/8uNcY3V1pnXm6L/1xj1ckwAHg4KF+2LY9f+v2HWcHXu1jO7Zvu3T79m2o10YBwhAEchLp2BSuQ5FzANcWKBcaWL+1ivufdJBjBHlLwGFSkXEswLYAiyk+TxFTHmWVTbmuGeQmwI2bi9FMgFsJS57kwWYEIUznFgyurmJFNLhtS6oejs1hWyEcO4BrB7AtH/c/6WDDs20o5SgcmyDnMLgOgWNLY+D7Ag0vQFtLGfPPOAPz589/sKWSu2Vqz6ynwzDYli92nu5LfkLjZamiTGb0TO0EgG1CiG0AniUi7FmyZOG39+/dNv/5555lew/WYNsUVp4h7wKVgkBrOcTMqTXMmX0YP9nYjsGxMrryQNGOo/VYYvIFQ4dutgVx418BqjQLrmILorLC0LVIYtG7KaqRvDi4k99LEqWLtTeTqmAni4VwnQB510O5UEMjHMa/398NUQswswuoFBmEABhjyDmAxTiGRwkWLT4nXLpk4TYeBteeefaFBwG8kNTzX3njFQtwPdQFeGFwcPAFzsPfaa24vfMXnHXX7f/xQMUbO1JkxEPeFaiUQrRVPJQKHuZ3+njPZX246c4CXMuCRThsBliGi9Pk1Yl4ayRVQZ1YwKN4jtgLSohQfeC19zUGC0FzoBhLRQgmVEI1j9DxLZQTeWORuOQD1DzCsjgcK0DO8dFSHsMtd1M8uzuPGRXg2IjszMsYgWMRFDqKOGtR51jP7EuGB0fCq+bMmbmfMbr7lQ5sPV7xANejtbUVQvDdbW3te/uPjix9yxsvXZ5z8J19e3YEo4Nb28vuwXKl4MOxPTh2gBkdHKHfwFhgo8gIcqEs0A8gwXU1Bzd9/WaEHuLVoLKRDcCVFeZEAVAXKUkd3+TezAyhzU4FiryQkcauWrpwYagiAhaVFMW2fThOA/sHXHgNoOoJjNYJbJth9syOkQvPXXx00aIzrFJevL93+qxHmd0yxLngjP1GEr1+I+O3538CgMh6KpwHY8fmzem9t1KpLPje//nZvDesvuorS88657mW1q6n3Hy5bjsueOhDBD7qAUctAAJOjImp9I5aDLAsSP6stXUgArcsrSAQcgEeCoRc6uyhcijJxlAizlSPfqcRYkCQVEKYoYyYMTUwdG0upb5Aa9thHPhEiPRCWpZs6ESIBwIfXUUbbW2Vek9P91PnXXTRc3/0v97xlUfuXzOvWCwvKLZMu3fgWP0YIeS3CtzAb5EFN0d3dw8gnZTVoaO7QKh9Y53SG6f0LGRu/lXftHOHF3R1b3tNT5fPhjhFXQBDtTqKDgWjVNIVS05QGZPRgVwAYQgERBi5jkLlN0IpEKrltlxEqCwsp3Gj1CiGhujgJSkPWjQGdwxo6X3V8SCA/K6Ay+KYhOjyazJRJAw5AA6L1eHYISyLArQdSxctDEvd567r7Wp/YWx07ENh4Ie5fA7v/9gXxezZs6qn+3qdyvHbQbSOY/j1Pliu27Z7X//ffPrmnzu/2rQvbCvnzy1b4jyrfhQ5MopCjqKQt+HaFK4j67T4oUC9EcILdByLUFnmQBDK90RRGosClkXkU8AisC1qqDlUOqZsqerYKp5Gy3syTUw5ppRl5pxE3+X5FHWPwAukW962BHK2gGX5KOYCTJ/KMG+Ohbzr/QpiZGO+PI+NWu/0fEz7S4LasZ6u05d8cDrG/ziAp8fNt60BCC4NQ7q6TL2rKK8t9Lwatm/fDkblZI2REEOjHEeHOYIQUaIA50CtDvihjDihSj+3mKQ4tvKuOrYEeN5lyOUo8i6QswUcW7bXk/KeUG5xKf0BgOdbqDYkwLUOXq0LHOzjGBwRyOdtdLblUCpYmD17LopFFx2t9pZZ0/278gXxcyHwIC2d+tIML+fxW0lRjmf8+R+/FQAe7B84+iCAh8IgmHf06DHe33+ET+vpnDNvVsdfVIf3Ym+fhZ+u24fqUD/KeQrKCFrLNvJ5D1v2UghOkLcFHJsAdhxvrROAGRPgkDeGRaXeLkGtYz9k1J5jhci7IUIeYl+fizBwkc/5YESgVPAxfWoRTnEWwn0cixfOAIKRr/r1YzsXnbWcVipt1GbWdg7cS4qtp/vUvizG/3iA69HZ0Q4A9+rlkeF+MOa0jgwdXD9wCBB5y1+9at6ft+T4Za4tEIYcfQd+jZbSHjx3mCGo5dCSEwgDDyNVD3kHCCwCjwINiyAIGBjlKLpMeUyVp1EWSINthci7FhzHRUdLDVW/hse2ulg0vRMrXnMOGKPIuxwt5cZaf7N/c51Te/HiJZg1c9qD9bo3OK1nyuk+hS/L8f8BPs4oVzoBYBDAjwBgy46DOGMRNtsk7GYU3PMCPOnvQFuJgtoUxHMQ8qq/8tLl11fHRt5iEd9nNM7od2yCctFGe4WiUhJwbW44ezgqJWKXy4X/2rfrV9e7DrV9InB0lELQEmbMWgJqWbAYaM7lh1d2Yefq4ivPbX46xv94Dn4yx51r1oEQ0n3o4KEWKhqC0vj02oygVLTQWqaoFDlsJqKa3hAcLWVG2ju7hiDE4Y7e157u/8pvzfh/B/a4Wugtf7sAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMjA6MzY6MTErMDA6MDBcr/xYAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDIwOjM2OjExKzAwOjAwLfJE5AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 50720971
    {'hecke_orbit_code': 36028797052522271, 'n': 1, 'trace_an': 24}
  • id: 50720972
    {'hecke_orbit_code': 36028797052522271, 'n': 2, 'trace_an': 4}
  • id: 50720973
    {'hecke_orbit_code': 36028797052522271, 'n': 3, 'trace_an': 0}
  • id: 50720974
    {'hecke_orbit_code': 36028797052522271, 'n': 4, 'trace_an': 28}
  • id: 50720975
    {'hecke_orbit_code': 36028797052522271, 'n': 5, 'trace_an': 0}
  • id: 50720976
    {'hecke_orbit_code': 36028797052522271, 'n': 6, 'trace_an': 0}
  • id: 50720977
    {'hecke_orbit_code': 36028797052522271, 'n': 7, 'trace_an': 0}
  • id: 50720978
    {'hecke_orbit_code': 36028797052522271, 'n': 8, 'trace_an': 18}
  • id: 50720979
    {'hecke_orbit_code': 36028797052522271, 'n': 9, 'trace_an': 50}
  • id: 50720980
    {'hecke_orbit_code': 36028797052522271, 'n': 10, 'trace_an': 0}
  • id: 50720981
    {'hecke_orbit_code': 36028797052522271, 'n': 11, 'trace_an': 14}
  • id: 50720982
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  • id: 50720983
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  • id: 50720984
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  • id: 50720985
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  • id: 50720986
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  • id: 50720987
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  • id: 50720988
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  • id: 50720989
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  • id: 50720990
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  • id: 50720991
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  • id: 50720992
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  • id: 50720993
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  • id: 50720994
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  • id: 50720995
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  • id: 50720996
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  • id: 50720997
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  • id: 50720998
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  • id: 50720999
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  • id: 50721000
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  • id: 50721001
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  • id: 50721002
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  • id: 50721003
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  • id: 50721004
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  • id: 50721005
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  • id: 50721006
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  • id: 50721007
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  • id: 50721008
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  • id: 50721009
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  • id: 50721010
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  • id: 50721011
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  • id: 50721012
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  • id: 50721013
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  • id: 50721014
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  • id: 50721015
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  • id: 50721016
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  • id: 50721017
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  • id: 50721018
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  • id: 50721019
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  • id: 50721020
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  • id: 50721021
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  • id: 50721022
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  • id: 50721023
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  • id: 50721024
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  • id: 50721025
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  • id: 50721026
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  • id: 50721027
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  • id: 50721028
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  • id: 50721029
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  • id: 50721030
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  • id: 50721031
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  • id: 50721032
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  • id: 50721033
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  • id: 50721034
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  • id: 50721035
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  • id: 50721036
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  • id: 50721037
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  • id: 50721038
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  • id: 50721039
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  • id: 50721040
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  • id: 50721041
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  • id: 50721042
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  • id: 50721043
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  • id: 50721044
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  • id: 50721045
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  • id: 50721046
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  • id: 50721047
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  • id: 50721048
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  • id: 50721049
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  • id: 50721050
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  • id: 50721051
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  • id: 50721052
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  • id: 50721053
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  • id: 50721054
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  • id: 50721055
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  • id: 50721056
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  • id: 50721057
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  • id: 50721058
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  • id: 50721059
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  • id: 50721060
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  • id: 50721061
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  • id: 50721062
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  • id: 50721063
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  • id: 50721064
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  • id: 50721065
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  • id: 50721066
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  • id: 50721067
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  • id: 50721068
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  • id: 50721069
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  • id: 50721070
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  • id: 50721071
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  • id: 50721072
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  • id: 50721073
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  • id: 50721074
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  • id: 50721075
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  • id: 50721076
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  • id: 50721077
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  • id: 50721078
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  • id: 50721079
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  • id: 50721080
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  • id: 50721081
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  • id: 50721082
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  • id: 50721083
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  • id: 50721084
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  • id: 50721085
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  • id: 50721086
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  • id: 50721087
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  • id: 50721088
    {'hecke_orbit_code': 36028797052522271, 'n': 169, 'trace_an': 78}
  • id: 50721089
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  • id: 50721090
    {'hecke_orbit_code': 36028797052522271, 'n': 179, 'trace_an': -42}
  • id: 50721091
    {'hecke_orbit_code': 36028797052522271, 'n': 181, 'trace_an': 0}
  • id: 50721092
    {'hecke_orbit_code': 36028797052522271, 'n': 191, 'trace_an': 138}
  • id: 50721093
    {'hecke_orbit_code': 36028797052522271, 'n': 193, 'trace_an': -20}
  • id: 50721094
    {'hecke_orbit_code': 36028797052522271, 'n': 197, 'trace_an': -2}
  • id: 50721095
    {'hecke_orbit_code': 36028797052522271, 'n': 199, 'trace_an': 0}
  • id: 50721096
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  • id: 50721097
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  • id: 50721098
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  • id: 50721099
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  • id: 50721100
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  • id: 50721101
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  • id: 50721102
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  • id: 50721103
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  • id: 50721104
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  • id: 50721105
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  • id: 50721106
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  • id: 50721107
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  • id: 50721108
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  • id: 50721109
    {'hecke_orbit_code': 36028797052522271, 'n': 271, 'trace_an': 0}
  • id: 50721110
    {'hecke_orbit_code': 36028797052522271, 'n': 277, 'trace_an': -52}
  • id: 50721111
    {'hecke_orbit_code': 36028797052522271, 'n': 281, 'trace_an': 198}
  • id: 50721112
    {'hecke_orbit_code': 36028797052522271, 'n': 283, 'trace_an': 0}
  • id: 50721113
    {'hecke_orbit_code': 36028797052522271, 'n': 289, 'trace_an': 168}
  • id: 50721114
    {'hecke_orbit_code': 36028797052522271, 'n': 293, 'trace_an': 0}
  • id: 50721115
    {'hecke_orbit_code': 36028797052522271, 'n': 307, 'trace_an': 0}
  • id: 50721116
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  • id: 50721117
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  • id: 50721118
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  • id: 50721119
    {'hecke_orbit_code': 36028797052522271, 'n': 331, 'trace_an': -10}
  • id: 50721120
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  • id: 50721121
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  • id: 50721122
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  • id: 50721123
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  • id: 50721124
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  • id: 50721125
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  • id: 50721126
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  • id: 50721127
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  • id: 50721128
    {'hecke_orbit_code': 36028797052522271, 'n': 373, 'trace_an': -42}
  • id: 50721129
    {'hecke_orbit_code': 36028797052522271, 'n': 379, 'trace_an': 78}
  • id: 50721130
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  • id: 50721131
    {'hecke_orbit_code': 36028797052522271, 'n': 389, 'trace_an': 234}
  • id: 50721132
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  • id: 50721133
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  • id: 50721134
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  • id: 50721135
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  • id: 50721136
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  • id: 50721137
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  • id: 50721138
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  • id: 50721139
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  • id: 50721140
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  • id: 50721141
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  • id: 50721142
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  • id: 50721143
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  • id: 50721144
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  • id: 50721145
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  • id: 50721146
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  • id: 50721147
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  • id: 50721148
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  • id: 50721149
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  • id: 50721150
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  • id: 50721151
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  • id: 50721152
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  • id: 50721153
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  • id: 50721154
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  • id: 50721155
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  • id: 50721156
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  • id: 50721157
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  • id: 50721158
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  • id: 50721159
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  • id: 50721160
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  • id: 50721161
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  • id: 50721162
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  • id: 50721163
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  • id: 50721164
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  • id: 50721165
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  • id: 50721166
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  • id: 50721167
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  • id: 50721168
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  • id: 50721169
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  • id: 50721170
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  • id: 50721171
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  • id: 50721172
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  • id: 50721173
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  • id: 50721174
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  • id: 50721175
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  • id: 50721176
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  • id: 50721177
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  • id: 50721178
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  • id: 50721179
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  • id: 50721180
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  • id: 50721181
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  • id: 50721182
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  • id: 50721183
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  • id: 50721184
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  • id: 50721185
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  • id: 50721186
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  • id: 50721187
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  • id: 50721188
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  • id: 50721189
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  • id: 50721190
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  • id: 50721191
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  • id: 50721192
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  • id: 50721193
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  • id: 50721194
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  • id: 50721195
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  • id: 50721196
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  • id: 50721197
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  • id: 50721198
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  • id: 50721199
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  • id: 50721200
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  • id: 50721201
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  • id: 50721202
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  • id: 50721203
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  • id: 50721204
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  • id: 50721205
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  • id: 50721206
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  • id: 50721207
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  • id: 50721208
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  • id: 50721209
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  • id: 50721210
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  • id: 50721211
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  • id: 50721212
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  • id: 50721213
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  • id: 50721214
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  • id: 50721215
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  • id: 50721216
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  • id: 50721217
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  • id: 50721218
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  • id: 50721219
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  • id: 50721220
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  • id: 50721221
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  • id: 50721222
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  • id: 50721223
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  • id: 50721224
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  • id: 50721225
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  • id: 50721226
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  • id: 50721227
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  • id: 50721228
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