Embedded newform data - 2205.4.a.i.1.1

Formats: - HTML - YAML - JSON - 2026-03-13T14:23:56.223989

• 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': 35280, 'analytic_conductor': 130.09921156265804, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1], [7, -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': [2205, 1, [1226, 442, 1081], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [1, 1]], [11, [12, 1]], [13, [-78, 1]], [17, [94, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797086075037, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2205.4.a.i', 'level': 2205, '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': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '35.4.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}-7q^{4}-5q^{5}+15q^{8}+5q^{10}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2205.4.a', 'trace_display': [-1, 0, -5, 0], 'trace_hash': 932246755928854623, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.987', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.063', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.954', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.248', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.843', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, -1, 0, -7, -5, 0, 0, 15, 0, 5, -12, 0, 78, 0, 0, 41, -94, 0, -40, 35, 0, 12, -32, 0, 25, -78, 0, 0, 50, 0, 248, -161, 0, 94, 0, 0, -434, 40, 0, -75, 402, 0, -68, 84, 0, 32, 536, 0, 0, -25, 0, -546, -22, 0, 60, 0, 0, -50, -560, 0, 278, -248, 0, -167, -390, 0, -164, 658, 0, 0, -672, 0, -82, 434, 0, 280, 0, 0, -1000, -205, 0, -402, -448, 0, 470, 68, 0, -180, -870, 0, 0, 224, 0, -536, 200, 0, -1026, 0, 0, -175, 482, 0, -272, 1170, 0, 22, 444, 0, -1170, -60, 0, 0, 798, 0, 160, -350, 0, 560, 0, 0, -1187, -278, 0, -1736, -125, 0, 776, 1455, 0, 390, 1112, 0, 0, 164, 0, -1410, 694, 0, -360, 0, 0, 672, -936, 0, -250, 82, 0, 3038, -2270, 0, 632, -600, 0, 0, -1240, 0, 734, 1000, 0, 805, 0, 0, 2532, -2814, 0, 448, 416, 0, 3887, -470, 0, 476, 3042, 0, 0, -492, 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• 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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[-0.005982684801946309, 0.0], [-0.09574247531348547, 0.0], [0.0, 0.0], [-0.3969517379739009, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.089032576969653, 0.0], [-1.0212283620214802, 0.0], [0.0, 0.0], [-0.8952849513763805, 0.0], [-0.518980394642808, 0.0], [0.0, 0.0], [-0.2400469847470833, 0.0], [-0.1739913643580508, 0.0], [0.0, 0.0], [0.12567319515901015, 0.0], [-0.12049845192865519, 0.0], [0.0, 0.0], [0.0, 0.0], [0.10995019902568536, 0.0], [0.0, 0.0], [0.566801814095824, 0.0], [0.5703671988133779, 0.0], [0.0, 0.0], [0.7016960154776261, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.02472208964796963, 0.0], [0.27413765584142663, 0.0], [0.0, 0.0], [0.37569510105865567, 0.0], [-0.7754431452226248, 0.0], [0.0, 0.0], [-0.28483237998127187, 0.0], [-0.5328015047358721, 0.0], [0.0, 0.0], [-0.02473542974972989, 0.0], [1.51435122666341, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5431675687594258, 0.0], [0.0, 0.0], [-0.46865758497611576, 0.0], [-0.03245197480171487, 0.0], [0.0, 0.0], [0.4220743568305407, 0.0], [0.0, 0.0], [0.0, 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-0.05560586498490137, -0.2990603117637097, -0.22053812145722962, -0.2854844431137419, -0.14624792498364397, -0.17573818976000313, -0.25615241969101543, -0.36117596842701105, -0.17926271781362807, -0.29782660282635237, -0.1386412870242594, -0.4347312634297941, -0.23281407520535213, -0.3752770396372749, -0.2754764278843227, -0.2389986675133606, -0.24744849832474738, -0.1343724603807218, -0.17785369680525512, -0.2784584850072921, -0.029499629813836806, -0.23710388656223433, -0.12373503501107319, -0.22662407530253637, -0.23644298965729138, -0.21738021202181468, -0.19001721786348927, -0.36881578282045413, -0.28868770553475587, -0.13651979200660394, -0.33529096859433183, -0.32386813319207236, -0.313368897457422, -0.11328934750148159, -0.21615794314817066, -0.2479625133567523, -0.33486609356537894, -0.22917719662074734], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 9, 'hecke_orbit_code': 36028797086075037, 'label': '2205.4.a.i.1.1', 'level': 2205, 'weight': 4}
• 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': [20, 21, 20, 21, 29, 33, 31, 30], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [8, 8, 8, 8, 8, 8, 8, 8], 'ALdims_old': [108, 97, 100, 101, 91, 91, 89, 94], 'Nk2': 35280, 'analytic_conductor': 130.09921156265804, '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': [2205, 1, [1226, 442, 1081], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 976, 'dim': 205, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 11, 13, 17], 'hecke_orbit_code': 67111069, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 8, 8, 8, 8, 8, 8, 12, 12], 'label': '2205.4.a', 'level': 2205, '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': [3, 5, 7], 'level_radical': 105, 'mf_dim': 1040, 'mf_new_dim': 205, 'num_forms': 61, 'plus_dim': 105, 'prim_orbit_index': 1, 'relative_dim': 205, 'sturm_bound': 1344, 'trace_bound': 13, 'trace_display': [4, 0, -5, 0], 'traces': [205, 4, 0, 816, -5, 0, 0, 0, 0, -20, -80, 0, -34, 0, 0, 3240, -194, 0, -64, -80, 0, -512, -130, 0, 5125, -72, 0, 0, 422, 0, 412, 104, 0, -552, 0, 0, 1050, -1540, 0, -180, 830, 0, -246, -2464, 0, -236, -554, 0, 0, 100, 0, 416, 1286, 0, -80, 0, 0, 724, -1652, 0, 2158, -936, 0, 12568, 290, 0, 926, -244, 0, 0, 28, 0, 618, -648, 0, -1548, 0, 0, -1192, -2320, 0, 1492, 1166, 0, -210, -7800, 0, -11072, -3030, 0, 0, -2324, 0, 2916, 500, 0, 2170, 0, 0, 20400, 1958, 0, 198, 3604, 0, 2148, 9946, 0, -6082, -520, 0, 0, 1550, 0, -70, -4160, 0, -484, 0, 0, 25909, 3840, 0, 6744, -125, 0, -7866, -3336, 0, -400, -16, 0, 0, -1856, 0, -4988, 2654, 0, -1160, 0, 0, 16760, -1744, 0, -250, -2548, 0, 12432, -1838, 0, 9004, 164, 0, 0, 140, 0, -4578, 4904, 0, -4260, 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• 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: 46576829
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797086075037, 'target_is_minimal': False, 'target_label': '2205.4.a.i.1.1', 'target_level': 2205, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 46576830
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949220597, 'target_is_minimal': False, 'target_label': '245.4.a.d.1.1', 'target_level': 245, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46576831
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199321850171, 'target_is_minimal': False, 'target_label': '315.4.a.c.1.1', 'target_level': 315, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 46576832
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576592073, 'target_is_minimal': False, 'target_label': '1225.4.a.e.1.1', 'target_level': 1225, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 46576833
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 116, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874572386549, 'target_is_minimal': False, 'target_label': '245.4.e.b.116.1', 'target_level': 245, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46576834
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 116, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014673454498037, 'target_is_minimal': False, 'target_label': '245.4.e.e.116.1', 'target_level': 245, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 46576835
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 226, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874572386549, 'target_is_minimal': False, 'target_label': '245.4.e.b.226.1', 'target_level': 245, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 46576836
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 226, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014673454498037, 'target_is_minimal': False, 'target_label': '245.4.e.e.226.1', 'target_level': 245, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 4}
  • id: 46576837
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67108899, 'target_is_minimal': True, 'target_label': '35.4.a.a.1.1', 'target_level': 35, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
  • id: 46576838
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831333415, 'target_is_minimal': False, 'target_label': '1575.4.a.g.1.1', 'target_level': 1575, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 4}
  • id: 46576839
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994477666864, 'target_is_minimal': False, 'target_label': '560.4.a.p.1.1', 'target_level': 560, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 4}
  • id: 46576840
    {'conductor': 105, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68786585775, 'target_is_minimal': False, 'target_label': '175.4.b.a.99.2', 'target_level': 175, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '105.62', 'twisting_conrey_index': 62, 'weight': 4}
  • id: 46576841
    {'conductor': 105, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68786585775, 'target_is_minimal': False, 'target_label': '175.4.b.a.99.1', 'target_level': 175, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '105.83', 'twisting_conrey_index': 83, 'weight': 4}
  • id: 46576842
    {'conductor': 105, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109039, 'target_is_minimal': False, 'target_label': '175.4.a.a.1.1', 'target_level': 175, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '105.104', 'twisting_conrey_index': 104, 'weight': 4}
  • id: 46576843
    {'conductor': 168, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694481600, 'target_is_minimal': False, 'target_label': '2240.4.a.b.1.1', 'target_level': 2240, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '168.83', 'twisting_conrey_index': 83, 'weight': 4}
  • id: 46576844
    {'conductor': 168, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086075037, 'source_is_minimal': False, 'source_label': '2205.4.a.i.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 162129586652448960, 'target_is_minimal': False, 'target_label': '2240.4.a.bk.1.1', 'target_level': 2240, 'twist_class_label': '35.4.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '168.125', 'twisting_conrey_index': 125, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2494125
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 2}
  • id: 2494126
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 3}
  • id: 2494127
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 5}
  • id: 2494128
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 7}
  • id: 2494129
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 11}
  • id: 2494130
    {'charpoly_factorization': [[[-78, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 13}
  • id: 2494131
    {'charpoly_factorization': [[[94, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 17}
  • id: 2494132
    {'charpoly_factorization': [[[40, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 19}
  • id: 2494133
    {'charpoly_factorization': [[[32, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 23}
  • id: 2494134
    {'charpoly_factorization': [[[-50, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 29}
  • id: 2494135
    {'charpoly_factorization': [[[-248, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 31}
  • id: 2494136
    {'charpoly_factorization': [[[434, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 37}
  • id: 2494137
    {'charpoly_factorization': [[[-402, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 41}
  • id: 2494138
    {'charpoly_factorization': [[[68, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 43}
  • id: 2494139
    {'charpoly_factorization': [[[-536, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 47}
  • id: 2494140
    {'charpoly_factorization': [[[22, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 53}
  • id: 2494141
    {'charpoly_factorization': [[[560, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 59}
  • id: 2494142
    {'charpoly_factorization': [[[-278, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 61}
  • id: 2494143
    {'charpoly_factorization': [[[164, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 67}
  • id: 2494144
    {'charpoly_factorization': [[[672, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 71}
  • id: 2494145
    {'charpoly_factorization': [[[82, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 73}
  • id: 2494146
    {'charpoly_factorization': [[[1000, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 79}
  • id: 2494147
    {'charpoly_factorization': [[[448, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 83}
  • id: 2494148
    {'charpoly_factorization': [[[870, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 89}
  • id: 2494149
    {'charpoly_factorization': [[[1026, 1], 1]], 'hecke_orbit_code': 36028797086075037, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 9, 'label': '2205.4.a.i', 'level': 2205, 'portrait': 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LTrgoYvkCQEQUq7kdId+Bydh9D4GGu5ZFNEb5ByalEz1fLYtSlh2/o+zUaIkJYoEnQGdRY6PlMNgSc9Ts37HDgpOHIm4dhSQlAf8Lob+nzPjRDISfYdbXPsrOJ0ztwLlgOLlusvX+Bfv2eFTZOTHDk9zenFBgvLmsWOZLWb0O2nLHcT5ldi6vUG0+s3mQ1bNn+i3qz/dBIn3ff/bz/wUkPiu3r8nQb4sdNLbF1Xoz9I3vf40wdf/i9/83PytmsOvfx/fvNZvbg6R3fQYKXrs9z1WOlqVnqw3ElZ6TiNeXoVDi4K5uZW+Xc/usTLLmxw/Ow0p+abnFrUnF2ynFlMOLGQMt9LmJwe8Yor+9x0CfiyTqACzi7XOL2oObMsGISQJIaab2jWUqYmEgxw9ExCtw/b13s06yHWChA+/aFh24aQpVUN1kmR1T6ECVgsy52Izes8ekOFUBZhQto1j20bR6wOBEdPaVKjmWlLWjVB4EGSCAah5Myy5PSS5exKQhCMwEu4+bI+L79cMNeus7TS5vjZgFOLcHYx4exywsllOLhkuf6yRf79j66wYbLNsTPTnFmss7Dis9iRLHdSOr2Y1V7K6sCy0rcs9gUnl0f82j+Jku+9ZfoBf/a9pjl50QO9XuOXN29eQIi/u4Vef2c1+Ps/+Bd8z2uv5z0//vO/+qnP3/W/fPFLd1+w78jKjmeOjeStV61w4eaE1ChA4u5TiUWWPwuLFpZAwqnlGg/tV1y5e5lLto5o1MDTEt9T+L6mWZc0PMmg77HvSI2vPu5zdD6km8TsOx6yfmaZt75ihSsv6HH9JR2OLCYsDgSNYMShU5ZOt8kVuySro5Q9RxSthua5o3DhJssoShmlPlrHTLVg7/EApVM8maA9GIaSl10yYDiQXHlBSneYcvRUi50bFM1GxGpoWTc5YKXf5RN3w5OHU54+PGL7piWuurjL1HTEW27u8f2vsuze0CKNJzl8coKDJzyOnzGcmI85MZ9ycF5wbDXm6osW+Hc/2mP95CTHz0xzZqnB4qrPUlew0jV0+jGr/QzcPTgzUJxeNVx1wRI/+Q9WZBp7O17Yf2pn4C/duH3ndF3KzV87tu/P+I3f+vRLDZnzPv5OMvidd3yeN75pl/pPH3z63zy97/S/euGFQ0qLmM5IcWhFsHvLAv/XT5/l6p0NzixNsdRpsNytsdrVLHc1K11Y6aasdBOWewmLHTi+ItD1EbdcvswPvCpi57omq/0288t1FpZ9FjuC5Y5hqWNY6Rm6Q0M3tAxGCTPtmG3rDSAIPMuJeQ8hA7avU+zcZNm0bsDZlZCn9re47kJLo77CswemaTUjoshjZsowHMGl20Z87O5JLt6aEIaW2QlJnA5p1QKeOzKi7jW55qKEpw9FnF3y2TwTsHMjbNsQoVTMiUXwPYsQlu3rE6Zakt4woD/w6A48lruK5VVY6hiWOymLnZQzHVgapWzb3OcHXr3ILZdoal6b04ttFldqLK5qlrqC1Y5htZeBu29Z6cOZnuTMasr1F5/lfT+5zI71k5xemGal6zExYZic3pGGduuv/tanb/n3b3vF8+nb3/72lxo65zz+TgH8E195GiEb9Xj4wrZZcexdz+1d+g/3P3qU/giiBHqh4GxPcrSTcs3OeX79pxa5aleD+ZVJllYbrPRqrORypQudnmG1l7DSS1juWs52BKf6FkSf22/t8JaXGXZtrBFFDVY6NVb7Pp2eYqUv6A0Eo9ASJZY0BSUtgQf1wDLZtqybjtHeiIOnI545EGCSJm+6MUJ7qzy2Z4IdG+HLDyfcekXAfGdITSuSNGZ6CpLYQ3sJS0sNXnFtly8/2GLnRnh0f4hHgze+zJCIIc8cTDl8ooaWPuunNFNNQT0Q+L5ACUgMRLFlFEFvYFntG3oDw+rAsNS3DNOU7VsGvOWmDre/PALTYml1gvnlOksdz5FBB1Z7KZ1+4mRJ37IygDM9xXw35boLz/L+n17g0q1NzixNsdxp0Bv6hJFkYRW60Wbwp//32//h3Ce3b9lxDEZDIW59qaFUPP7OAPzJp/dx9aUb/T/+q+fe+8Khpz+4o/WEiAd1+fwhy9Jq7Bh1aFkdCM72FSd6MTdcMM/7f3yJay+ssbgyyWKnyUo3oNPzWem5wLPTs3T6Kau9hE7fsNK3zPcEpzuGqckBr7++x82XJGxfr2jXPbq9GoEnAUWUSIwRGAuDESAMU60R+09ajI2469Em4aDOBZt9brlyQGxWuffxSa650GP/mT6dlTY3XTnga48FrJ+27Dlq+Sdv77LnSMD6aclXH1fccqliedDl0PFprrko4t5nhiRhg5sv89m9dcQw6fOVxxSkgoMnNO2GRgsYDCXGClJjiRNAGrRv6PQtzVbM1o0hL790wOuvS5hp1ji7PMHSap2Vrjs3K11Bpw+dXkK3n7DaN3QGhuWB5ExPsNhLufHief7DTy5w5Y4aCytTLHeadPoBnb5Ht6+ZX5E8ezAmaI3MP/2fLrK7d1z7swvdV/1hoA9F6zZe9FJDCvg7AnCbRjIMh2+9++t3XrDnyOgDf/r5e72XXynZOTfB6UXLSjem20/pjWwB8vmB4kQn5eZLzvK+n1zkul0+q702CystOv0aqz2f1b6m01N0BtDrW7oD5w70h4bOwLLQFyz0IU5DrrpwyIbplP7A8uabQnZsMCSpREtLFMM9T9U4Nl9j41TCswdrYBpcskVx7cWGoDbgsf0DFhabXL6jSXtyhQef9rjhwhpLg1VWVtps2GB5eI/ih1/T55E9mi3rPBb7HVaWp7n20gEPPpsyXZ/k8gv6zHc6PPz8JHXd5PqLLRdtG4Hs89RhwbrpmLMLMfc+5TGKFVJCaiw7Nka8/qaIXl+xacpw7YUQRQ2WOw2WOwGrfY/uQNHpS7p96A5Sd04HKd2BYXVgWR5KTnYFnWHELRct8H/8xDLXXVjjzNIkK90GnX5At+/RHWg6fcVyR3BqMWHzhlVuvjykMf2G+Mjp4F+85S1vOdBo1L9QC3zzUmPrJc9kptGINIl+tLd4328MVvdOL55Y5fpdLeKhYqkjEcIQeJIksBhrXGreWoRIkULxyP71/PKHPd5+yzLvfs0yOzdHnFlqE/h16oFPI/Bo1jW9uqQ19JhoagajlP4wZX1oGIaW3ihgeaHGieOWKDGcPJMQBBYQ+MqipWAwVAg8koHm6h2C3Zss2zYPCNMedzyi2HtgijdcF3DtpSt89A6LLxrs2Dzg6QcVmycVs+0BNVUnij3me9CsabasFzy5N+Lai+q86ppF/uiLQ3yvxetutHjBgK8/HPHlh5o8f7jOrk0NdmxMmZuK2Dkbc8WOFKUMWlnA0ggC5iYDotijN/B5dr9Hf6QZDBX9kaQ/hP7I0h+4794bpvSHjjA6Q1gYKM6sWBoTHX7uzQv8w5sjrtzZ5NRim06vTrcf0Bt69IeKwUgyigSphZkJRcuf4rmDgvnlp73VsP0bAzG3fPsbbv7nndXRH01M1v7fC/DjZwacWjE/sef5e9+3QX5+2heCTXMtGnWPOIbUgrWCwJcYa3GQA4FFCosSKb6SPHtglideaLD/1Dxvf3mfl182YrLVZrnToNmt0R769AeaXnaxhyPNINSMQssoMkSxJY4tSeqOKPGxBqQSeFpQ8wWTLcFUCzbMGrasHzA71eHOx+C+JzykmeAN13lcfUmP+5+PiUZtbrla0BkOmV9qcvNFhtnJAXUdMEoUC90YZQRXX6RptEIe31fjlddOcNNVPR7fp8BOcN1lPj/+Pct87cmIrz7SZM+xGtvmFBum60y1Gky0oB6Apy1KgrGw57AgTQVxIogSCGPcdwxThqFhFBoGI8MgNPSH0A1hoS9Z6MPIjHjtNcu89eUdfuh1ljhucWaxRXdQozfw6Q40/aGmP5IZwCFNXXxyalEQJ4aVbszBkyd56IU7py/dPvw/b335q7W1nQ8L8dI1WbxkAF9YXEFr8+MPPfTQ+555+mvrbro4xPNaTLYNUgqGkSCKIY4FQigQImNtkNJlEZWyeCqlpiWLgzofv3sLX3+iy61XrPKe165yxc4+M5MNllYb9IYBg6GXAVu5IxKEsSROBEnilnpXu+WCSq2h5kOjbphuxWxeNyChz/6TMZ+4t8ah400mgzo3XKa5+couD7/Q4a5vtbnxwhrbNg742N0CJQLarZjVfoixoATMtQd0ez4mqfPWW+f5+Jcb7D5b4y03DojiJe59ZoY4rfGyy9bxlhu6XLi1w9cfH/D08QZPHfbZMi2ZbgsagcD33E0oBQhhMRaMscRJdrPGljB2N/IogmEEvZFgJRQs90DoEVdftMp7Xr/KKy5LmW3VWek0We3V6Q99+kMvA7aiP5QMQslwBKPIEkaGKDbEiSGMDP2BQStN3O9y5133rFPU33fDDS+3w0HnI/XGSwPyv1WAL6xapEJE987YZPWLP3bwhPnAyUMHZje0R4yiBtZCPTCuXkRJRgpCJZBSIKVy4BagpEBKg1YGT1l8bahpwcpIsdyZ4lP3NHno2T63XLXKe163yjW7O8ykdZIkYDCq0R96DENNFCviRJKkktQIjBXF6hD4hkYtIfAjfC/k5FLIFx+VHDjhc/jEFMoE7N7oc+lOxXWXdFHBAs8cbLF5ssHlu2DD3ArL3TZXbJYkxnLnIwHhQDLZTHjjy0Z84d6YY2daXHyBx+nVEc8d8ti6foqrdi5w/9M9HnxOEEY+l+yc5pKtAZds6XHw9DIHTsIjexvsP9SkoQWBljQDS80DKd0KZ627WZPUuU9RKuiHgu5I0I0hMgnGjrj+wi7veX2XW69I2TgdMBxNsNSp0RsE9Ec+gwzYg5FiGAoGI8kwzFaFKCXKAB7GhjCyDCMnlyZrgqef79Hv3r3ukadPf6AX15P/84N3fHQU7eVf/7Nf+FsF+N9qkLmwMkKq4JWD1cc/Ypb+2/TK0mjuzGILJQVKWlIjCGPFKHIMG0YyY1nBKBSMIhwThYZRmGas5HT0MLQMI+hHgl4oWRnCwKTMTIxYPzXgXa/ucMnWhNFQc/lOy/opRRh7pKkiNRKbg1saPJ1y9Kzl8BnB6tDw+fsbnFxsYCOPqZpi04xm+wbNrs1w+e4eRi7y4S81WJqf5MZLAl5/U4d7nuty97emue3qOpdf1OEP70yQ0SQ/9paEWC7xJ1+a4KrtLW67ocOdT/R44PFZ3nCdz42Xh5zuLPKHXw6QSZPLtnvs3OSxc1PKprkBE+0eUTrk1HLM5+8PWBoEHD3tcfKMj6cEUkoEAmMtqYHYWNLEMDUTc+XOAWEYc8nWkHe8OmTdhGK65RPHNbqDGv2hzzD0GIw0wzAHtmQYCoahYBS68x9GKaMwB7dbIcIoe04gNW6lssCZrmDnzunVV94w9zPN3hf+7KT3j/j1f/GevzXM/a0x+KOPfJBR+pfi1N6Vnf3uvovmgj1smpvE14ZR5JGkijhRKGWdPJAWrRRaSbSWKAlaOWbXmTb2PIOvU8fgnqUeWxqRZaKWMlUXDCJJL2py+EST9//ZNJgEkSRcd+WAnRsikoQscHVJHCkEUgm057PvmM+eAzWaNU3Ll8w2BHMzknXTmk1ziu0bUy7evkoqlvitz7Y5emySGy/yuGRHyjDp8a1nAibrHjMTlslWRKPupJAxks5Isdy3LHVSOv06r7h8lUf3DNh7TDHZrvGyyyb5ybcu8dufg8cPNOkPLas9zdnlNhtmG6ybGrF9ZsT/9s4B7UaHpw/DvuMSz7MoZRHCANb9z0KSwI4NKbdckZDGHnESYG2DUeRxZtGBehjqglhGoWIYCUYZuEcRhJFj7TAyRBmxhHEpgcLYaf4wEUQpJEbQiyXznZiUPZMXbt/1+zu2vTO5/fqdn9r6kQ/bf/bjP/E/DsD/6I8/zfPPb1d79j95+/NHjnzoDz9/lOsumORX/tGACzYbuv0Gw9AnjDVR5OFpjaczCaIVOpJoJfG1dMDWwqXZPUnoSYIoJYwt9Wy5jCJLO8EtnQlEiWAUS8I0IE5r7D3Q5Km9kFqLg7ZjHE+Cr1zNRyuAyzdCuw4TTclUSzEzqVk3Dds2hGycWyW2y/zWZyc4eGiCa3cpdm2R7N6ywjeeSzi7NMF1OyVTbUPNHxLIAKsESSoR1pKkESv9GmeXPK69pM7VF/W4//Ea66cEjVqLay8y/NztS/yXzxmeO9litW9Y7SkWVjSzk02m2nWm2hO0GzFzzZjt10YEXoKnE5RKkcIFExZ3U8WxYn5BEyeOSKJYEcbZcyQJY5mtmJIwEi5AjYRj5ig/r+X5DSvAHsW4VTaBUSzoJ5JuDINhwuXblvm3713goi1nGs+f4qPzJ7X5/puv/OzL7v5U+srXvPPvP8CPPP9BNsydUU/vPfuOL36j/0d//uXlWmewkc9/a4jhDP/Hj3e4cFNM4NfpjwIineJFHlpptNJ4kWNyT1tCbbMaEsEoEgSeIPQVUSwJI0McW6Ikda5IUjlSSFJLmhpSg9PbhgLcQuBWCAmeB4EW1AJBI5A0G4qJhmRqQrBuOmH7hgGt5iqffSDi3memWV1sc+U2xfaNHhduHZGKVe58pEHT08xNKVqNEc8cxHXcb7UMQsVVF8Zcudty5nTKworPcNTgTTf0+ObTQ/afVDTrksBvc8Uuw7//sSXueW7IF+6ZZalr2b4uZaWjmWwrJpoerYZHs26pBYbANwQ6RStbBOLgWNwYgTGCxEiSVJAkgjiRRIkgjiVh7JyXKBZEsSWKIIxTorjU2VHO2JHL8DpwC0aJYBgL+rGgFwt6kSWJQ67ausSvvHeRN79MsdydYffk6dqhxXV/8ol79/6js4P6p//db30s/bc//8N/vwG+3JmVZxeidx84dOh35k+fqV0wJ/EkCNngCw9tJA4V3//qVd7x6g6zEzV6wxpaB2jt4+nUHZ7GjxS+VgSeY5vAzy5KcSjiBKJYOgchKW2/JDWkqXMXUps5JZlbIoRwjowUaC3wtbMla4GkWRe0G5bJlmH9dMjcVI/ErvKpb0r+8MszrKvVuHKbYNtGjx2bDNs3rvDZb1mWl2tcskEx1YZWI+bsEcn8SoC/0zHd3IRkchL2H7asdA1nFmtcuKPGa67r8cX7asy0IPB9lJzkit2Cn3rLPJ6c56/un+L5kzXWd2PWTSZMNBWtuqJRl9QDTeBD4IHW1oE8C8oLkONu7NRAmgqSlAzoEKeWKIE4Th0pZICOE0OUGKLYlQXkwA5jGCWCMIFBLOnGLoAdjhLaQZcffcsC73jVgNuu1CyuTrK02ubsygQHDp6sRR6/v6m9VSvp/zmOZ/5+AvwP/vRzPHkg/bFds0/+p+df6LUXOwpIafqG6USS2DpfeWwD33ou4MzKIj97e4/pdkQ9qNMd1PC0j+95+FGKrzWBly+tkih2qfQoFkSJA3mcsVKSQJw6nzbJgW3cs819QBxzCyFQSmS63gGkFkCjZmjVEyZbCXOTQ2anVnlgb8Sf3FVn3+FJdkx47N4AWzb4bFkPF2/rMki6PLynTV15zE0pJlsw2QqZmkjwfY0Q7uYahj7L3ZjVgaXTT5hf8dm2ocVNl8xz1yMD9p1s0whiPOUjxAS7Nyt+5HWLXH/xPH9yV4uHn51kqa9Z106YbCQ0apJ6TRF4gsCTeJ6LVZQisw8dyi2uh9UYCqAnqclWt8xaTAxJaogSVwIQJ7ZYEaPEuTKjxAX+wwR6saSXwmBoSOMhM40eP/N9i/yv7x5S82osrbTpDeuMIg8LbJpTPHvwePvk2cFv/cwPXeU//+Tn/vCya/77FWn9dwO4tUuA/Inf+cin3/fBT5+c6fYa2FCRpKClpeVZEgN2IqAznOE/fdLj+YPLfO8r+7z66i7rZ0O6vTrD0Mf3fAJfE8X5oQqAx7EkStyyGyeZp52SWX9kzC0xlhLcWcbIMTdo5RImvmep+YZ6LaFVS5hqh2yc7XK2M+CDn/e489FplleaXDAn2LZOsHmdz5Z1gp2bRmh/lY/fqzl0vMlF6yVTLclEM0XKkJMLlkBLpHCJqyjWbF/X5RFSugPFStdydrnORVtqfN+rO3z66z5HzgZ4OkYID2ObxInkup0rbP/BLnc+PuBjd07z2JEmm6cEs82UZi2l5jvZ5nsuVtEKFzhLUdhlFneTGYtzWlIH+BzkSeoknfPRqQA7Sx6lDtiDWNJLYBAbkn7Eltkur7pulbfd2udN11uUbbK43GQYBoShR5JKPGWYmYi46cpVeqPTM53u1g/M7HyPevZg/8NX7G7+/QH46fkOKx3vf/r0nd943ye++vy6ffsbTNYEc22DykAVaEs7w9sqPr1wik/cE3DvM12uvbjLD752yFtuWmV2MmAwChiGPnHsESUeUayLQClJnJcdp7m2lKSpIDWi1NpGUKgS65hbCpcocskig+8ZAj+lHiS06iGzk32G8ZCvP2P5xDcmePjZSaZ8jys2WzZOS9bP+Gyak2xZH7Fr8wpPHxny+W/OMaE0cxOCdlPQbsR0Bilf/laNlm8RwgFrGGreekvIlx5yNTGdvmF+RbNlXYu3v7zPw3t77Nnv0wwSlBQO5KbBKHJa/0de0+GijfN8/J4uDz4/ybGVOhvagomapeEbatrge851UtLdyI7JIXeGTSbVjClXuCQDuiMIiFNBnJbAHiWCfiIYpLiYJ4po1gf8wBtWePfrOlx3kWHdlMdgUGe1X2MUBoxCjyhWpKlESUurkbB9UtKsCZaH969rJdPv237hW0war/yB8qb+bgP87MIqzWCE9uSP3n3P/b/+pb+6e2blTJ/tM9JpQ+kA5imnCS0WAWhpCKSk6zU50Q049VCTh57p8+kru7zjNQPeeMuImUmfMHS1FlHiEcde4QgkqSJJJImRpGkJcGMz5jal3S+EzYJKV8ehtcH3UgI/ph5EtOpDUoZ87XHJn909ybOHJxBxwI4py8ZJy+ykYm7aZ8OsZNNczLYNXY4v9PjdLzRJwjpbtggmW5p2E9qNGOFFdIdNJlsWIQTWQpxIpgNFYhJ6sU9vkLLSVZxcqHPZrhY//b2rfODPA44uNNEqzm4MTZLUGEWSDTMB113Q5cpdfZ47epJPfKPOXY9NcqpTpxkoWj40PYuvLZ5yK6aSmSSrXC8DWONuutS42pIkFc4/T53dF6WCYSoYpjBKLXGSYKKImdqAN712lXe9tsetVyS0a5o4abK8GjCK3HUKI48w0oSxdgRkBKSCheUGHc9HipAXnn1g3fzy1K/vvPBlyQsHTv3xzq0NvGDy7ybAo2iIVvW33f/Qo799//33tGcbQ9QmjygxjikyxpDGZkATWU0JrvtGCXrKYxAr5sOAv3qowb3PDnjZV/v8/Pf3uHRbl3WTirbURLFPlHgkiS5A7sAtSY3EWOluIiuK9LtjboNSFq0MWicEfoKnIrrDmIVuzG9+tsbh+Ske3zOJNT4zdcG6WcvshGCmrZiZ9Fg/I9kwk7B5bsDM5Ap3PmF47PlJrtwimGpJWg1Ju2Fo1iOEFxIEGu2qDVyWMZUMQ81wFDu/eGjo9S3LXY8zS21uvrjPTZet8vGv1qgvK7SMHSCtJkl9olgyDD1mJ2tcv7vP9Rf0eeRVpzi6IPmTuyaZX21wYinAV5KmJ/BzGSZd4FkQeS5VcNclsYLEQGwEYQqjBCJjIU0giVEqZPPUkCu2u+txw6Up7bomSVwZbRj5mYR0q2wYeUSJygJ/d5gsY2xMQBi1ObtksC98fUYrfvuSy29Y6Q+Gn/+bxOTfGMCtfRjYoB554GMXnDlypF1XPdbPBAReQn/ofOokscSpJUldwb4UtpAsnoIggZoyDJWg7/kME4+lqMFdj03wwPNDmkHIP3pzh60zCds3Dbn58h5auBYxIZxccVlJVyttbYW5sQjpCrTC2GJJQCY8d1jy6F7NFx9u8dyxFlHSoKUVc3XLdNMy1bDOB29rpic0M5OCDdMJm+aGbJxb4d5nQz70xXVsnNTMtaHdVLSbglYjoR6EPPCCYhRpvKYDlbWCKJHUtOKai4Y89MykK3wapqx2PRZXA84uTvHTbznLicUlHnpyDk8CIsYASaIzdpT0h5qpVo3JdpObLhrwqisH/OBtC+w9bvjSwzUe3lvnhUNNEqEJQ8UgVighEUKsCTyznIA1JMZijcETKRN+RI2Ym67ts3PjiC2zMe95Y0jdVzRrmihu0On5RLFHHGuiRGfPijjWhIlyMVIF4LkRMIoEvaFkpWtYWlnl7Gfua29++PQFP/+Pf0h99u496e2vufTvDsAfe3IfLxy8yJ+fv++96WjxP22aPoRIJzi9JLDWQ0qBGjlPVSUQJw7cUoLKumViKZweTh2TN1IYacEw1dlRo9dL+fWPT2GTmPVzIy7bNmJmIuEdrxmybV1EHItMb0uoMDeZ/pTSIKTgM/fUefpgE6E1R081OHm2Qa2umAgEk01Lu2Zo16BVF0w0FO2WYqqlmZmE2cmE9TMjNq/rktpVPvPNNsN+kwu3WNoNRashadUNrVqC50Xc+VCNcCDx1rlu0VyiNOuKN71syH1PGPqhpD9M6Q40qz3NmaUGl+5s8Y5buzz+XIOjyy2UNECc6WWPOHVu0iiS9EeaTt+nVW/QrIdcumXEjRePOD7f4cjpVbSX8tQhzae/0UAo5cC9dv6gNYABa4mjlO3rE971miGz7ZSLt1vWz0CaeIRRiyRxXVNx4o4k0cSpIo5V8RzlgM5MgBzcUezAPQgF3b5lpZuwsGp5+uhp3rVr/X/at/ebg7ffdOMfnjiyJ9qy4/85yP9mGDw8iPJPX3Tk8IEPfvOhr8mffJvGUz7DqEEYKdJUYS2ZL2sLcMsUVEKWlrfoxGnAWLtIvp5CK7VEqSA0gjD1CI1HYmCh3+YbTxssKX/5cIwQqbtI1l0kyMwS5wUihEIIiVSKJNZIo/G0pBXAzjlL0zM0AkMjgEYgaNYlrbqi3dBMtCRTbZiZSJibCtk01yNlhd/8ixr3P7OO3TMw1cjYuyFp1RMa9YhmY0i93iBQLsASwgW7xkAce4yGgmGY0gsV/ZGhNzSuZa7pc+LsBK+4LOTn3nmW3/i05thqgBAGa2NMaokTz4EldDXaraGmWfNp1Gs0gga1IKZVj7juwgjfi7nhwoT3vHaAVkmWBDIIYcdFeSbpjJEIIQk8BfiMQs3SinZ1O2ke86iivCJJXcFanLhYKA/6S8YuHa4wckm6wQj6Q9cqd3xRsDCK6S/fIffv9z/43AH5TWH7z/5NQPP/McB/6QMf4xP32jrhE7cngyfFxGTCiaWEda0e9aDmUu1Zet1YCcIgJMjESZNEOkZ3mUTrWrDSPKJ3R2osiREkxhJnGjExkthKUqOJTUCa2V7VR5GlFKCFcJlKBbW6paYtNZUSeBBoqPmWeiCo+5JGXdKoaQfwpmCyZZhuJ8xMhqyb7rNp3RIf+qLhY3etZ+ukYrZlaDcVrYai2YBGPaVVjzm9ZDh4OqDmu1UK8ko/wSjS7Nxg2DA7ojvyGY5sxuKS1Z6mVa/RakzyntfOc+j0GX7/85vRUmMxpCZ15yLRhJFiGLmiqEFN0hhp6oFHPUjp9FyM4Xt5wixFS9coIaVL54vscKUrWbW9dSthx2RVlsbFNS6+KWOdpPKcpMIFkpll6wAvMvu2PFxyDpeISyxhaBkkCVs29OgNIvYf+Lp4zcvP3H71DTsPdk7+7nBi8z9+aQH+qism/dPzq7/0hW8s/NLDzyOt3MxXHwt5/dWSzVMOoHkyxbNuvIMoWNwVVimZJx3cs5dZVWlmX7nDklqXgUvzZIXFBSxZoFTV3FBdMZxToyVo5ZwFTwk8bZ1vrAW1QFLzJfVAUa8pWnVJq2GZaKZMthKm2yGzUwO2rV/i4RdCPn7PJqZqAetbhnZDOHDXJc2aoVlLaDVCHt4HT+1tcMGczXRvmTYfhoobLrZcuG3II89OMggtw1FKf6gzkHs0anXqtUl+4JXLPPXCPA/t2QBWYUzqbvrEksS2qCcZhprGyFKvKWq+IfA9Aj8l0Aat06K+RynjtmCR7jogLIJSz5XBeRYQ2hzkrqGieG1EBnJRgLp8XTkSkXnrLmuaZousUpLpCcntF/e57foh2+Z8jOnJwWj139z3DeUnduevAtFLBvDl1b4MR6Nf+dQn/+yf63jRv3xTg0EkGA0DntkHyXZBveYSLFJKtAJwe9uorP4jVQKd2oylwWSVaKmxmAzwzsYqU+3O+qNI3lQy72Mrbp6qzhM6SmYZS0WlaMtl/wJfUQsU9UDQqAtadUu7kTLRTJhshcxMDNk0t8JD+4b8yh+t59iJSXbNGiYb0K4rmnVFswbNWkq9FuN7Izoji5IKT1lkZUprDow48WnXYwaJYRC6/XkGo5TeQNKpKxq9gFrQYseGmH//3g7/9qOSb+1Zj0VhrCFNDUmaZKl0V2Y8DCT1UFHzJYFvCXxFoA2e5/x+rawDuMoIJpMpQthzaqdNFscYU7J6XjefGoEp8g3OGUqMIE2zMgCTA7xSFpCWJCaEI5XZyYDLd04QiAZHTyuGI8WZxZGvm/P/4p3ver1nTf9/F7L5107n/7UB3u32MCb91W/c881/eujwsdqG2YCJpit0ksLViqRGkCTu4ioJAtdjKYV07KEyECsHcG0sJs3S6lnHeJ5WNsaWbJ2VgeYHawCeye4ssCS7mQRKObusKLfV7nP6nqIWuJEM9cDSrBlajZR2I2aiFTHdHrJpbpWH9g74t384y75j02yfdg5Lqy5pNqRj77qlUUtp1GLiNOJPv9pCKoUnnRVaMLgV2bLu8SNvWOErj0X0ooBBBvD+UNHrKzqBpuYHBF6bi7cm/IcfX+Jf/6HgwWfXY6wkNS6tHieu0CyMDGHNlbsGgaDmCQLfZTZ9bYuMrVYGqdzKKYV1kjEHeJnyzEBOwej5hAGTv84K19IsmZamoqxzyf8spcgopxXCstais2aWE/MtFjsGKSxhLOkNQPVP1J547P5/dtW1t4ler/fLrVbrbxfgnaX9WGtv6i0+WZ9qpSSpR1hXxLHNlh8HIqVcMRMWjBRIK7PmhoyRlc2cAfdcrRtxJ9KB3GbgthmDZ+XO2DWfKwe4FCBkZkdW2FvrvO5E4nnS1W/4glrgZp40gpRm3YG73YyYbA+Zm+zw8N4Bv/IH0zx3dJYtU4KZZkWa1DTNmqtfqdcS6kGE54WcXJrCUwIlTWbLlUFmmkqSRLFxypIkMd24xjC0jELDcJTSG0nqA0XN9/C9Gp6e4JItCf/hf1rgX34EHnp+HamRDuCpJU7SjMkNYWCoRZKRrwoJ5nngaSfRXJ2KRUuQ0mZEYIvCrDUYd3KFfNUURT7D2hzcGSGlkFpRrLz5YXKAm3L1dWk+XG+nEaihdPMc8zLccMjnv/xo3XjbbpL/D3ac+GsB/D/+ty/z7/9YNf75Gz/kX7ApIlANVnqKwVARxu4L5SdK5pPVMkAaI0ilQBkH1jQt+wgLoNsc1DYrkKrIkWzZtC/y2aQoi6ikJFs9RJa2lkXA6+QJ1DwIfEO9ZqkHTj836jHtRsRkc8jsVIfH9o/41x+e4pmjc2yaVMw1DRN1QasmadQUjbqgXnM3h0v1Rzy0R9Af+dQUWbrcafC8CSE1gjjRNGuKmy/v8fBzbQYxWXdSymCo6AWKwFf4np/p50ku3Wr4tZ+c5xd/Dx7cs47YSGJjsmbpSgOCLwl849jbK+votcoPMplSyjiZZXnPD/I8+ywq8jBrDM/Z3JZFXNWCLlMUeJXX0/0SS5JAFOU3viWM3Q2+2ks5vbrI48c+7X/pj25rDM9+clBf/67//gB/ds8xLr946+S/+Y1P/+4H/jx55U+8cYVNswopBb5WjEJXv2BMeXZyprUV7WzyGmWds3RWNzIG6vFna21xo5Bp7+JiCFdQJGQG7qzISBUAz1cVx2S+B75nqPlZgVWQUs/kRaseMtEaMtXq8uSBkH/94SmeOrKODZOauYZhog7NmqBZVzTqikbB3im1IKHVGHHvUz6rnRpTU2WaPD8X+XIep4p1M4rXXt3n3keN66IpWvBSBkNJzZPUPI2nfbSuI6Xh0q2W9/3kPL/4e5YH960jNpo4rwBMbcHkQSyL6kJfu84oTwu0FCidnxuKz1fchORp/XyOQeX6rTlM5bmQkwVhldfTWJs5uBmL54DKCoSMcYVeo8jSHxrmVy0rccwvfO+JV84fPPWR9pYf+ced5eOrE9Nb//sCXMSnOPjCwi820mPvXlwe4vkWJWJaI/dPaVXaQ8WdTkXH5SfFVE9KVVuLgr3zYqC8Am6MuTMayDNyeZ2F05NljbdSZcWgVrj6DG3xPNdYXPMNNT+lXkto1GKatZBWY8T0RIfHXwj5pd+b5clD61k36bGukTLRsBm4M/auSeqBY/9akNAIIhIT0osChJJ4OYMXGlxkQbOz1OLYo+mPXLlAVGMqB/koZeA7Bg98mXU55RvQWq7YYfnAPz7L/+93DA/uXU9sNGEqiFKTsbigFhsCz+J7Al+bbPVyLX8qW9Hc+RGFpJOV+AVKwI/FOmvAXZBQLkFsuSrn71WLu/JrS6WyMS/XHUWWwcjSCyFGsrI45OsPzL975yVPHTRp9C//uzL4vgPHqbW2bD/67G9fee3u/dxySULT13QTS+ClpKl07V8yr+QbB275ZStdJsWXHmeDQoqYbFnMT3D11s9ZuxpU5stt1qGjsmBKa4unHLB9bYvqwZqXZro5pl4LmWoPmGj2eGhPwi9/aJYnDq1nbkIzV0+ZqFlaGbjrNWcn5uCuByk1P6HdjNhzxHLP40186UpEpSxvRChdoThVJEbz6utiLtjV5+CxOnMNN5JhFLl5JoNRxsJaobWX2arOu758O/zaTy3yL3/P8M3n5hjFdcJUEiWWRuIkS+DhQK7z1csUva1SpcUKp6SoAFxUQM45eqUEeYV4xlbbisSs3gAFudmxG6MEOFnjsgUriELN7/3VNOsnj/Hy+fuv/Jf/7Ke39zpHj7Ymtv/NA/yFg6eYnpzY8eAjD/7nr31z5W3SzPNjbwrxdAts5i9rk2UsnU2Ut0mVX0RU7uI1gDalLZUz9VqnpHKOySuczwG3sEiV24JZA7PKWFu7EROeZwg8Q+An1PyEWhDRqIVMTwxY6Q2471n4tT/bwNMHZpnNwD1Zt7TqgmZNFF65c16MY2/fAbwehERpymhYo6bcTSZzwBSLT2a5pZIk0U7L69CNXohFBeAG30/xPY3nSbRSKOkVAEfAVTsFv/aPV/j1P094cO8MpzptRk3JZGppJZaaZwmywyskms3sQioALxm8+LzZh67i3FavQw5wxsFu1gDfrcKcw+A5sxtTjrnI69CFcL75Qj/mjTct8LKLZt525tjD6YatV/+zsH/6SNDc+DcL8EHnBCRLNy6dPXD73udO0YnW8fLL5rloiyZJ3ZhxpQweWWLHyIoTMi5Rcqus/KK5nCmzfVWAl4+xdERxEdy4h7y3MqtxkTarGnTMrbXB0wa/KI914A78DNzTfRZWhrzvTxt8/ltzLPanmJuQzNUycNec7m5kgWU9kDQCmzG40961IAIi7n7SZyX2mQkYq8dGVJd0p8OjWNMONK+5dsBD+yJ6ccBENmdkFBn80NWq+1pmUwYsSnoI6RI0WLhkq+Q3fr7Llx4a8qt/sJ4Ti1MMJzWTvqCVGBoJBLEbvewrN9DIywNNKYogOH+uBurFjSlKgBdAr1wnsBXJYsfIKZ9KVqzIWal0VbenGYsnmUGhJTS8lJ1bLbddOcnZE6d4JN1/+85O60+jaHjkb5TBTdxF6NaFy6fv+oVtU9/ijTf5nF7yWFnRnA6SbD5eno42SCHWgFsUgC50dnESnHSp6vTypK0FeK67qbB3pbalyI6S2WAO2K4738078b0U30uo+TGBH9OqD9F6wL1PpXzky22+eP86ItNmXVswW3OyxFmAuU+uskNkzF1l7xitQx54fpJBpNnYsNkNt5bBs0DTuPqNmqe46dIhiXEAH8aCUTFvxM2B8XRucaoMiC776MAmmJ0UvPu2Pq3gFH/w5SH3PT/DmbjOoCZpJ5amtg7kOotDlM3iElvMpXE5A1GQhZAgKVm8orIqLJ5fFTtGTJyPzassTtVwGAc7uJtxcwDrag0eeDLg+HzMydUn+Ec/tP0X3vW9r3pitdvfP9n+zl1A3xHgp0+f5OOf+RqTk5ObDhw68KqjRztcvGWGC+oCT/sMQ0E9SIp5JlJmUiRzRXL9XEiVzGaqArmwn+xaYItxP7AAtl0jTWzh4yqZdQ0pk9V8Z+BWrhYj8GJ8P6bmRTQaI3x/wJ/dpXn/H6/j4MI0XlBjQ0swHaS0A0szgGbWYV8PXLazliWEXP1Kmq0ETp4sdlP6kY+vFL60RYCZf3ZL6SWnWXo7Sjzq3ogNk0NWBy2GscjGrblYwfPSzOZTmd2pCv+6DFxd5ePbbu1zw2UL/NqfjPjYnXMsJ00GgUfTk7S1q8EJNPiKohlC50kfSXFD5lng4lyfB+BjYK9cNwvnlZkFu7M2QB1/zhm85kMaWw6eiEGkXLN7hblg76sO7FGbhsPV/cePHWfrtm/vqnwXDJ7yD9962469+/Z+6L57jzMaztAbaOamUhq1FK1NkfIVKrfxxBpJMv5z9b8xdjyAXFtPsvaRp5SdHWhL3V3UtbjPUzC3cp/R8xJ87SRJ4IcE3pAjZxN+/0tNPvfNGQ6dnaLd8JiuwVSQ0gpslnrPwS0zcMsiKVTLtHfguxun3Qz57AOa/Ufr1JRwGcPcQaFEeRlgOx0eJ5pLtsP33NDjI3fM0G9o2rFlFFuCKIsblHEDkFTuDOUg9yooc6vCtlnJL//wgCt3nuD3vjjNoTMTLCd1Bp6mqQSNDOi+tO7GyVymksVtEawLkW0KU7UQ14J7zQ+FJl8DcNYAu2D0qkNms99rXVq/P7LU/ZTZSU07mOapp4/SnLzqQ7t23fLmfr/3HaXKtwV4dzCiVQ9YOPWtLUH61O6rdq8wimr42tCop9T81DGMSrOJSjlSc3YW58iOMlEjxgBdgvz8AM//7VKWVOVJNm02q7FQMmfvFE8lrnPHSwiCEF+H9NKID37K5w++tIGTS5MYVWd6QjHtWyZ8QyNj7kaRvpdZnUomTTLvvAC377KXYRyx/0RAPwqYCjIXJ0865a5EZfkualJiTbup2bklQgUjelGLoS+oZzNI/ExeeZlE0bnrIdSLBK+KuYkBP/22Abe/+gx/8KUuv/+ZGRaHTYa6Rk0rGlpQV5YgsY7NpZMqWpa2Zr4qFkzOuDw83+McO5FzAV2+FueNtYRxN1thThiwJKz2JSu9RRbi53a/cqS3vPnVNxyxdogQ9b8ewM+cWaRTb8+dOut96tFHv+7dfLGm00+JY1dLoiuAkrIC8OLLiXFQW1G+l98IxQkRFT1X+bKQVbtlJzWrfCtPfs7eWZWcSh3AdYpWKb4XU/MjfC+iM4p44GnJn93V5jPfnGGUtvB9nxlfMOkbmr6lEVgafgnuWiAJAkmQSROXGMqciQzgvucyn4dPW+57rEEUewRNe06AmT/yJFdeihrFCs/TvPaGHh//Wp99J5oMa660NPQsfgJebPAig1IyGz4qspqeElBjHruRNALN+skh/78fGHDptpCP3dXi0T0TLAybjJSP52lqWlCXEMjMRs3tVWldPkEwdnA+oJ/H5RoHeglkswbk5yu5kLhgNzEQpS4W6Q5dEmtxKFh3+l7vkm3XfIq0c3Wv3134dhj+9gwe+/L4qb03Pv34/RP3PSa4cucq29anrPb9gmkLRsWOXcQqI4/ra1HcudWb4MUe4wCvFAYJU7K3NJkdmDqAq7SQI1rHdPox9z8r+KM72tz1+ATLnRayXqNVV0x6lrZvaHiWhm+p+2Ss7Zi7HkhqvqLmC2o+WYWeycBt3MrgJygd8sIJONmpucRKpm/HEyflxXR9kFnJqZFEkWZ9W3Dh1iHPHEsYxB5hNuPbj3DgU2kmUfJEDayt0ygyxJkNGaeuPvxdrx3yxpet8PUnenz0zjaP7mmz1GvQkT59X+MrgS8FgcT1cEq3S11e9ZmTiajmHniRwLMC3BwL+fU2nMvgVZDnXFDUE2U3UGoFi0PF+vUdbr28x0Pfum9C+9GNW7dsuYNvMzzo2wL87Jn5YDRMfme5s6f59ld32LlxgKdAyIAkVViTx/FjXw3GEjOiAuLsea1TskbVVX/KV4Vqcb4YA7bJnlOUTPFzN0PGLPQS7n1M8+X7W3z+vgnmu01ErYbX8mhrmPBcJ0/dI5MdUPdFdsis5DTT3b4gyNk7B7hO8P2Emh9hbczdjwccPV1ndlrgSZMt86Js9K1efFOWn6apYhh6bF8veO21Az73rYh+7DGMBTXP4ieOxcPYVlYpVfjVCDkmU9why0YF4/z2ehDyrtuGvP6GJf7ymz2+dH+De59uMd9pMBQ+Q1+jPYUWAk8KPCnxhM2klnUOCxWJWAH4+RTLWoDbta8r4zzWVoWW/4YktRAa6ISG0VnDZx/Q3HjZ8823NK79HezipcDwrwXw08cOsrTa54+/lPCKyxSvvT6kUXeD6JNUYbIG3ypQ8yVpTIdn7xUgZ1xrF13vaxCee93koC6eHbBFBnCtU3wdU6vFjMKUfSfhyCnFJ746wR2PtplfaYJXQ7c9GkrS8iwtbah7lroHNc+Bu+a5mYSuzFRWDpH9uc1AbgqQ+55rTzt4yvDM4QA8L1vmbSVFL8aorhpcpanI3BQ3zvmKnSGXbemz92SDYU3QSARBbAkVmbVnMvbO3ZTcgiy1SuGzZ1akMSqbPuAxijzq9ZAfe1PIW29e5SuP9fnk1xocOVVj78kG0WpAEmhGWiOVdOl8QEvpKjMpg1AlKvmI85DTWrmSs7fJqypzk+F84K+cI2MtiU0wYYTnDbj91ctcvzPl+KGTCNn5dhB+cYCno6MijEa/8KXPf2r2Xa+y2bxsuOXKPrVaTBxpRqHONmMV2CqAM9ZmLKAUhSQpv3RZyJMP5CluFVENLE3J2sJkAE8JAjdJNUlTzizBV7+hOXiizj0P1zm5UufgqSYEAaqhqWlFU1ua2jgXwbME2g2ODzwyEOeHzA6VAZxMc2fg9lICz7G3u7EiDi/AniMNPDluDxYShbIevMze5s0DMutz9Lhs+5AL1w149lDCIPFoxYJQg5/NBFQVgEspEFKOMTkFcMo6nzyYTbJ+yjj1CD2fdj3iR94QcuuVXU6udLn7EZ9DxwO+8niDU0s10qGHkZrYVwgp3Uohst9HnvEUY7KiCvIxbW1LHWHWMDpZ6WxRQGfzEXvWdcBEKW5Pm5ALLuzjKcPn7pmmNzo2+4PvfucvPL335AeuumTzeYXuiwL8kcfvIE3Td/dH+5rvesMZ7n5qxG9+ssVjL4RcviNhw1TI7u0jtHHNpTabRZKaKrjz0Q3lCIeC0V/E4y7AjR0LKJ0UcfraC1Li1HLouOCZQ4qvPtzg2cM+zx+u0w0DwigAz0e1Pdehr6ChDfWKDxzovE4jL5t1deFBJkt8X+H7MrsBbKm9Pecc+Z7T+TU/xpqIs8uS0AZoLfGlRVdstjUEXoA8teP9jlHiIdDMTUdINaIfewy0cE5HXBaMaWXGMpBSVI32bNgRIrsmuQwqeyi9VBXjJwahz4apiG3rY67bFTKMhvyjwx2ePeLz1YdqPHO4xqFjNeJEQaCwUmGEZCwblEM8L9CqXFSb/X9R+1mI7oLfXcYnj0zyOxMDsUGTsntHyObJkEt3hbzq2pAHn61xx6Mjrr1gf/OhJ7/xbqXUB/5vMfjS8b/kxJm++pPPvSC+/rhg/YzHc/vrHFv0+cq3Uib9lG1bIq64KOSNN4S8+poIa12WrNFyJ9lagbBuNK8dkyz5PhtrfqlwV96BwaC1m2MipCHOKsyEgCMnJH9+V8AgVjz5fI0DxwMW+z5h6oP2QXmotsKXgrqChrLUFG6cmcoKj5Rjbd8TLulRBbcn8TNZEvgQ+GSuiUuZe9rge0mWEY2p1yLmV1K++mCLTi9gakKgM1dJVnCw9lGUDhdaXBKGitkZxRtvHvGVR4cc6zQZetLJFA1eYvHi3LPOPHaZOruQ6qwTWfwOY3Xldzig+6ki1YrEU8SpJo69zEqNafoxt16RcNOlIW9/1YgXjkue2uMxjBQf+2qDw2c8EJLBUJNGKkt3SqwuAW7HWoMoWLnYXyUHuLWIBES+CYG11BsJXt1NR3jtLSPecP2Iyy+K2b45ZdKDVh1uujzltuuOMdeeZn71qFhOr1Qf/Ogdyc/+2Ju/O4AnKWyYa37w+185f9Uw7PGhz04zlAEowWJkWRwkHF5JePC5hE/fHTE7GWON4dqLQt71upA0cY0Mc5OGa64IadQsGHFuIDLG4A71UkJnIHjqCc1S11XtPbzH4wvfrDGKFaNYcfqMjxGa2HoY4YHWiECjpcRXgrq01JQlUBAoS6CsqwHXmeerS+b2877MAtwq69EUBXv7nsH38wKttGBv349RKuIbTyg+960WytfObhvT3y/O4LkX7nS4JE4Vo5HHW28Z8vkHunzs7gn6SY1mpsO9XIfHFFnjvFtIiPxOys+zrOjYCsBN1gWvHZN7WpFojU5SB3SVopQbpD9VS7jl4oSbL46xIuQdtw0YxW6c2199M+CRPT71QLDYVTz1nE+3LxFrPVHOd9FdGW2zZrnm6ojZydQ1vqSGd75uxDUXJFgDs5MwMwnCKgwBaaKJIsGmKcvGmyL+6yctX39ydNU7vqf5QS3tT39XDH7ibIe5de32n3zmkxff+2CknjzQgMYETSlJceMcUt9gUkNoYs50U86sJmATXjhu+MI9bj6JTS0TUyk3XhXRqhlMNQ973ofIJr4KVvuKR5/x6XYUUktCIwmtdswkNG4usEZIjZQSTwpqynm5gTT4sgJmWc7ocyAXZcODdo0AeeNxFdyO4bOyWi9n8LRyJAQ6xtqIk4s+UVgjmJD4WdpbZVV5Y1nMSmdTWZ9DwaypUUSxx1RLsXU2whcjhknAMBHUtRuCmdeQ5PkHJavlrbL4Xflq6ZI/psyeGpP1TpbSKEnSLCmmshKHhDhJUbEbM6FVilQJW2ZNtmIYLt02IrJDpDZ0OoJHn/FYHTjZNFaC+CIgNwaageHGq2Impyw2cTK2nvn7xihSo4nCchZLahTGuBk7SqVcd1HM3Owpdd3FixffcOMPt3/qh1e7Qkx+e4D3OsscHnQ+8M0HT912/0MKywS7JtxmRlEKoREMU0moFLHR2ckzYBISa+jYFDCgDN1Vy+lvVJakF200Gy8+tkJi8i0XyJ6FKoMcKVHCzdwLpEs5+9JmW5DYbP5JyXg5uD3tOurd1nsU4HZtXW5LlMAX+JqixNQxeMbi2u0J5OkEz4sJgpjji4Y/+UoTtI8nRRlgFvJEnMPg1QxfPiTUgc1dzCj2eM8bh/zlvUOeP9uin3o0ErcprasCLEfeiWxPnuJ3FauhKJWAkZUCr/wwRS2M1govTYmVy5i6gi5nRxYWrEoL90pm8ZAWFmFTZhuWf/AK42beZLETxfP59FkmpYzAGh8Ti+JmjNIM3JlLl5oS3EmiywFDqWLjlGC2CX5y6raVpRMfsDb5me/I4Hufvgcppb+hscS1uzTdgaE3tAwiwTDbZKiWZsMZUwiNIrIKY3VWyJ5vgOQ0VerlP38n9haVZ5k1M7hILY/WtQBPZKwsnBTQkspz3lRbKSTSVOagOJD7uuyqLwEuC9kS+LZoafN9Uxmck+Bl7O3rGCkjjp4RLHRrCK0JJGPyRFa+VvYt11hgYhx4mdMRJR4z7ZDtG4bsPRMyTDWjFIJU4KUWL8l0eELhLJWZRTVOFtkN5Sbt2rIDvpBGBp0aUiVROt++PGfyfEhQFdgGJfLJWKZIulVzFIgsChDl5r3j/E1hQkBWmEfu3WdTgU0+ZKicpBUnOhuP4XaC6w08FlcV/ajHxN6v+fY8BHoOwJvqMEIILt46QuFz/EyCXk1Qg9L7VBI8YfGlIMomTUVGkEhBYqXL0mVXMf+lY504FWBXve88UMoLfNxEKjd51h0ZaDMJkL8unrMGA12UglI02PpKOLCPgVu6Zz8Heh58ZuDOu3+0KSSKp50+9f2YhJgvPVDn7EIdb0Lh59JE2nEHZe1FHqukE2uCQMUodBNs3/LyPg88PaKb1BhoTT0xRFk6XcmyIKrMMhrKzqE80BSUfjIYk81UsW4mTWoE2ggSJdCpzHaxc2UPOdDHE2q2GPsmRVmiUYLd3cLuY1TqhypXvsRC6bTlw1JN5saNJ6mq4NYMRh6dnsf8iubIScPppR66dvi8HDoG8F/78Fd5eLHximTpSzdcseks2zZMsNzR9Idu9kZq8g/s6hRUatEGEmMJjJs4lVrhDrKLV609OR93VwBwTiIBiiyazDJpuqh4y3YjlvmzKEYhVIFdzEFRuH7E8wE8Dzhz3a1zWWIzvT1eS+57Mb4XcaZjePxAHbSPzuSJrhQojWX7qkEmYqzarhi7kF/QVBHHHtdeEDIzOaSz0mCQKBoKvMR9F5Vad8RVgGc5g+IXyXMK21zbYMaUypAagWcEqZKkypAqQZKBPJHVWiNTsWuzIjdhENKOZZnHJmVVpfiaOqVq7sRWgZ5ZmzYrYXAM7mRJGGvCyO1UPQwlvaHg+ELEajjkh1+rbvjhd7/mFb/zHz5zfzDz/ecHeEtF+J79B3fuUdc8/lTKbDvBxC5Q0pmOTbNGhtyMUsLNF8zfT/OevGIZfnFw5wAvnNQxYNgsUKNSwllqTynylrSyOEgp0HkHvXSyRBXdKyWw8+Zbx96Z5tYUeju3BB1jl+D2Mv2tdYwg5ovfDHjg2RYy0PhSuPnbRQXheD2FyJepyjUeH40mymXZKIYjj5svH/I9t/b4/S+2iNKAfiqppW6zVS3LasVCpkiZsXj1V70Yk4PRMptHI0iVcSyeg1sJtJTZgKCSuQuQj5VMZM0XBdArWeg1NUpjj/MAPD8nbnKWKxordvGojGI2VtCuW15xdUq9MeDq3XPXzJ/iH5hU3X9eBl9ePEWz2XzjN77xjR/e3Bpy7PQ0nY6gGdjc6nRtTcqirQWbF91YlIVUuC6dKrDz5eh8AK9apVWmqwK9Wpcsq+8Vo9hyoJMxOMV4CC0rLJ51w3hqHNxunMIa5s56Nv2svc3TecNBUjliImI+eXeb1AaoIntZDTDLvsbc2RjT4NluxMUwHSPdKLQ0DzY1Ao93vWbAn34pZNXEDNMaw1TgJRQsLqVFJiIrPDOZXbi29khWrElRAbkg1dnIBiXwlCHVbsdpnUpSaZHKuHS9NC64zwFdZJXLys4S5GTlFdUmwxfBeHV1qTTDpHmSKt/UIN/YwJRtj1JCu1ZDynXc+zDsWI5/+KZbXnPP0WMnv7J92+Y1DG4j4lhfMNno7b5025Ct6wIGI+j0DcuduOyFzHS4zWhXSMcGZf1uDu7vIE2Kf2+8Y8QV15Olgs+tSy47T8p963Ow53vSqEyW5NO1imE3GbC1EqWTUtiBruPeNSbbjLnLAFNX2DvwIh4/INl/qoZVHkpKfGnQ1ZsyswkLh3BtkUaeibblPkKlX+1AHiceuzfFXLarz7deqBMrn2EiqEk3oFQnIiuCyrpwkkyHI3HicC2QxJrgtmRzncUBythMqmQ3bCocays5xt6OuWVZl59r8UqZxVodfl6A22pPgChuQGsEaSal0lQWHWE5duJEsNwRHDnldmM+u9TB1rq7r4uiC0Zh/JVzGFzas5DWmGwuc+nOHmFs6A41+48rziy6UgCT6Y28uRcL0gqMqMiRwgKzlF/vxRm8CImqy3rB4vlYsQq4C8kiyu55QdHpkjN5vu9ldfvvHODV4T+u254C2EW2smDuNNsuPAsudYwl5tN3N1haqiMCjS+du6PW6u+1AeaYD15OF6jWcRfetHG7JMxOS9752h6PH2gTpjUGyqeeOi0+Vs6aVEpZMZknnhfmOhY/p9uq0jebT6HShkwq5SuSa95WJm8ukWNypbxOduyaVQF+Xh1OSYIl2CsAzwPPnLGz/0YpW0xFWFg1HDyR0B9ZFjsJm04POXBiif5gVPybBcD/9C8+gVKKhaUlLt68wOXbFdYq9p1usPfkBBOBLS5QzkhKOCDLykWrNi7YqkdULAHlUwlyex5wZ1ngCljU2FCfcuagY+3y2YE8G9emxwHu62wAkJdvHZglhbQ7cY61TfY6HTu0cp07zx+FT93VIpQ+Sqosezk+k2VtBvO8VlkO9DEdnmnxVJGkmiDVvPMNI/7ojgFPH6oTK4+BlPipydwjgUyrRGCz9rJq3sFkv2t836Iqk5fgFsUgVLcyGmSaj5gou6eKvk1Z0eJVcBesfe44ODcNoCy0s8UJERWCXNsN5iRffn02zAx46kjIUycDwHLh1gGN4BHuvu8I1qTjAD94+CS7dmxq/Itf+Z2dd38rIhYpExMRqUlZ7HqkQ4EWAl9XCvgr20QXH7RS2Pvtldd4R8iY/pbnA7kYkyd5nXUx7qAy/qA6tUnrHOiZ9lZrwJ2n7728Mdm4mSFFi1iW+NBJdsQoL2L/SU0v8kHpTJ7YNeWxa77XWhelooftWi8868YpEz+apie4ePOIp/dHpCZgaHxqqavZ1pkGV8JNhnI2a86ahjzILJm8TKrk82h0PvEgaxRX2bBMF8/kw1ItZXFXXmdTtgwW7E3ZmCKq4K7IlfM9xqpLc8a24wo+/12+lzLRHPHu16/ypltikkQzWfdp19vYYNPOa1/xM43/5Sd/YdCa2OgAPj9/ln6/+4ZrLln3i2ePPc+JxSb7j7VYGELdg3V1U3Y8y/GLN8ZIL1K0Pgbs6nNZn1NMNs3rp3OgjA+HLBsIXLlo5bnC3LIiS6q7GHuKzAt34HYALocC5Qzu6TXsnfd1+hHLPcN//YsWS8MaIvCcPJEVd6c66Oc7ZKwLtjJlcFUyuCyyd+2G5me/r8fXH2+zFPpEUjOUEr/ooazeXNblE3KbTpiCjSwmA7fBItc4K+7fMtaijAvOjQVpnOzLm7rHgV2Cvdonm4O9AHYebH4X56N8XS795WpY3lCpkWyYrLNtzqPTb3DoxCTP7fe59MqNv3jy+L77w3D0lwWDR93nsSOPhjzGVRfCji2SlUcSUuPKRT211t04t4Dou32MJ3aqbCfGlvVzAF6ZFjsGcDU+ZFNVQK2lRGeSRBcAzzW3KYJKT5sKuFPXia/G2dtTMb4f8Ym7PZ47WAfpIaUkkBU7U4xr8PwLvmg1ISWbl2OJS5AnxrWcJYnHFbsHvO3WLn90Rw2jA4bSJ5CiTPqsAdtaJhdVJh9rCi9rYowCZd2qYKybAKwUmCzOSaVAZsP882BaFAkn97vKcRblvPE8q1kA/tuBvPIit1YLPS/dCG5j3Ia/vZFHkErmVwTffFpz+mzEmcFRDp+VxJHbGEIDpDImtZKpqSGvum4FIxK+9HSNYdJiIsiHxJQslRf45HU148j9dh9dFOUJxSzqtUAvAF5lcVHRt1WAO3kiq+CWsgR4kejJAW7dnOxMiniqAnB1LnNr5djb025q1UrH8FffaLHYCaDmrZEnLy5REGsqKasW6lrbrtqJk0mUONFMtRXfe9uAzz8wYqkfECnNMJWZPSnKlrKCQYsFvwC2tWXXjynYvJwFqWymw5VAWwfs1JS7Y0jp2F1KSypE6W7JyqorXX+uyC5w6YmXPxeB3HfAS6nd3e8CEKkglS4ZplND0AiJTJ+/fLjOsCf4vq0RE5MR/UEG8KWz+2m1ZnY8//yDP7ewepTp2XnueFxxdqVJTZcBmJ8xoFKiYKzvZi65GP+/ij1YkSmV9HwJcnGOLBH5iRZVeSLKDpeMtVUV2Krci17nzF0F9nnkidbVpE6CVi5zefiI4IWjNQwBQjr3RIuydGDcQRnvdsmv1ngnSxmY5/LEVjd9Mi5lnaQarOaS7RG7N45Y2lvHpr5j8TTz/CsuTgEqqoVeeWOBrAR2GZvbik8uy4GoeWxjJJhslUirUsxUVtYiwBRZ0Jlf5/Jz5D+fm/Z6EeRU7WObjWDO/65wc2GiWLNhesD1l83zpQcnee7gGW6+7sqfu+3lL3/yyWcPHNGL3ZhhOtyw0I3eeNej8xw8NcH9z01gkjpzDddpHnhk7oMDt6gy1Xem7urnrdzF52PvcsRZla1LsI8PtS+eVcnguvDBq0e2pbWqgrsEuVaVIUGqZG+V/ax1jFIxX/pWi/2LdfBLeVJ1T8ZWIc4dF3EOR1Wt1eqmT5XBpUUZbaTZNRvxlpsHPPJ8A4xHkjot7qXZkM90XCoVUqVgzNw2lJSbCVSHMzkwWyuwMltVZH6IQn/nrwvJmjtH+bWUApFWZ0dWbUMxhoHvCBuRSx+3OlV3/HCDXmtMtCy//ANdbrt6nsf2rjDRHL3R190N7froiF5cBYNlz2HFx+6YRMoGTSWYmHBNuYFXHdRYypPvNADm/B+2ZPX8y44t51KUDkpl2XNZwXHWPh+Dqyq4s/mE5bYdnANsr5hbmFaCS5OBPHHyRMXUGxHf2qf4y280GY58aGi0FHhiXJqsDTCrDHRegLNGf6+xDKu+eJxoJlqat796xB0PDHh4n49tegzTAF+4SkolsvxAJdgrGXMc5NVJBi74zBwd5dg8lU6P5wAvmdu9J7O5KUK4P6vauecUmolzr/+LBZznOOWVG0QKZ4kmMm/UduW+YaxpNwJefknENdtDNuywtOpQ0xZt05Q0iQmkZUtb06g777P0kqnYQ+cy7Tkf7kXy8ucLLqHM9lVXhPMBvDgqP+f7/+gKuEuQ52WzFp2NCy4PUxmpXM4udGztDqVcgOn7EXGUcseDDZ4/1gDPQ0iVgcoWW5IXI9pepIpw7HxVWZtsOKU51wvPj9wujCLNpdsS3vTyPk8dqRMmPqn0GBqFn1J+lopUcKf8XJDbNZ8Fld9sBqMEKvehpcAqkJlskRngc5KRwjqpIitkZSzjTtJaDT6mWs8B0Xi9aY4ZUaxISkKUuH2GhpFGDz1WOjWUsmBD2hs9mlFKFIG+7xt3oLVieaXLxdtrWR2AK5gqtLEYZ90XY6Oxj3Zu0qpkbEoQFHdpJbjMA8si2JTnAr068lcVjJ0DvJycWkgUnc8JN5mTYjJAmwqwM/bOgkutYgI/4tmjgq880GAw9KHpIUVeOVitiTlPFrOyRFdOQlGL4q5mOUZ6LOlTbUjOCrCi2KPVinjTLSGfv3fEU4cC0D4jI/FzLW4gTqu2HYgUyMBBWgV7CWxr3cpXSBfp2DxfVYrkWgXoeUZZSJDGljc4Ys05qNzk38EqHIPOOXCq4qdSkpyRRGokURxwYvlZ/OAwxqTo9RMdlBI0dYKyAb0BhFFKkpa7ma39bTlTl9m4vOb7O+uVQrePAX2ctUsXRVS2JBEV1ijrT5yLUg6P1NnPOXOrYj546QY5kJtiQGd5uGylVi6p43kxiU354v117nu2DjUN0jU0+3mavApq1hzVH853ISt14YVtl+1GXjoqcgzo4cjjVVcMeMsrBjx3tEaSeFihGAqNl5afRxiQaWkVjn+McSavllcoVRmzZt2ICmsF0ohCe+dAlyZjc1N1URh3cs4jRQvL8LygFhVclTg7Vx24fyyPY5LE7djW6cEgXMXYHkJYtB8MQAjaKkFLw9nlGt2+JE5MKehzENt8eEu2oRB2bKldu7ycQ+DF56rciWNtXZWgssLkVWCPFVpV4gKlbIXJ10iSAtwV3V0JLHPnxDkm7lmpGN+LefKI5FN3twAfpIcQCk/kTRa29IPHmFuMrXZ5PeGYPVa5cGXjQ87g0kmFVGBUXlWnivS9tZp3vWbIVx8c8ehBN0kgNopBKrKCr+z8YLORErYCrPxKjDN5Feg5uJTNrrXK5iDanMFF6aRYxr//WrlSSduPlQ2L8wD8nKx4hjdTDgpaSwp5HU2cWLr9lLPLI/xAUa9rV3LwufsHxKlkuhFxySaBr2vUAoHnqWLrtyLbZcZ3zCp2RKuwUXHnnYe580teAKAKaqogz5h7TJqMR+zVktlckuTblrjtOUpw57v75qztqfFnnetvlevvBM9LiNOEex6u88yBOngeSF1pbBi/sDJzD87xwc+9xccZqbAJyy0Si4RPZasTo/KyUU0YeVy+e8SrbnQsPkwdi4fCZ2RAp7kf7tyMPFlCuuYmy6eWWItVa8AtwSpbaHEpTfbajYWwVhQsXjB3LhlstSp0PIGX32jnld9rUvROdlS2uKnsel1udJXtt5ptozg3k3DjVQM2zQmiyKJNNIFE0u1GHBUxW9a5weNgGd/RNu/+rmzUmu1rmY+5/Xatl1UnYUybipKZycA9bg1WspmVHcvyXQ5ySVJ285TgVmMBZUWK6HK8slYpSlcAnkkUX8fsPy346B0twtiDhpfJE4rWNDWWOaw4J1Wb4MUkypqltypTyn2NXkyLa5qB5EffNOCL9zXZd9LdfKlRDFLlqgzTLNuYB2epIJ8kKdaAfIyYlGPu4jNlAaayFmsqUtFmR+57W5FJlYqTYs+1TIs17buQbeUW7jn+yp2w0zGydSQbeJKNcw3aQQthtEt+PfTV962/eJv3f466C5c0am6/9VrgulvystJiq7mikD9PYlR25kKM7VEpKodjZFHR0rISLObjgOW4p73GFSmaGXIwa9YEkmTArQSWhe9tCrkyXmtS2f0ha2TIj1RG/NEXGvzpVyYhCEDVUErTUJa6cnvd5JWJXt7knLXGlZnUczOsZVlvZQUqYonSdsyr94QkazrIS1Tda2ENWzdEnFyUPPaMTyIUCIUVCtegXZoEhUQ4B1hrULYGdXlIZc+RMXaNpKlsHpaP6CvqbCo3S7U8YQ2Yi/r0KqCz7b+TbIvB/IjilCjOdnWO3b6gSeJu1DCSHDutSevXbfBmb/2avu/hM5O9zvDNzXpIu6HRyrU8WRxzJ6kgSYT7hxNBnAjiBOKchdOsTk2MBwXnnEYxLk9EdkKrzklRe1LxVcdYPG9dG9tFLdfflZT5mP7OwZ1vZ2ILts6twFyW6Mw58XTEC6ckH/96A6QG6di76NyvxgHVzwhrAMUYs2cn9hz9nQOhmnjJ94HXlcymsVn6XmVaPNX8wGsHfO6eBntO+JCNVQuNh8484+LcpmWquyJGCj7PgWwrro7K5Iuy+TNYUZFSIg823e8x2XmwmVzLGdysORdVm3jNojYOdpttTJVa4sSQJG6z2yQ/ss1jnUwW2VgLgZYjLpW9N9fNyUm9fmrEpD+gyQCtPCzltCUHbkmUSKJYoCPJKENreYGyT2wY0+FrEV6Au5Ala+3B8SRB3ttYpujLVjW5FtxrgF3dgKqUKU5zq8waVBWJ4oBdgjxVCV+4v8me/aX2lkI67zvroFnb1b42g1llzbVcacder2lAXuuJ5+1sWY9iKvMUvpMql14Q8tZX9Dn48YAolSC0y3AiUFR8cQQSS1wEv2VrGZUafrJ0eM7S0lYDzuymzl4LmQWhwmU+RQ76LPg8J0Mt1pLdeeQJVTZ3AE4ycIexIYosYWKIY0ucQpzkWxDmOygLoihl8/ERw3SIRq4S2yWUd5ILtjQYDANGkUcUK3ckiiiWjCK3u5clH+jovoyRZNqsvLPPt+pVbbNqMmesk6cC6JK17VhwOb5NYLkX5hjAZSW5I0vtnafeiy1OKnPFlXKTaj0v5tBpxX/7bJuR9DIGHw8ux+eejG+INZ7JePFHQQZFmtxWXo834FbnF7o2Ljf1KUk9gjThZ27v8xf3NDh4SoOKsUYTSY+hEag0v+FstmNafoEym9CSie7S3VEVf165iDIrxsrAnDW5yAq4jc1WiwwHpnpdJedZvdc85zd+pXwhH52cmlyaWIahYRi5XR+i2A2ejRLBKBEMIkE3smxeP0A3ekivhu4OBI/sVfzVNyS//COrXL5VYG2D3rDGKPSIYjePwgs9hLAkRhMl2aDHtU5BfpEr5yv/YjnY1yYAxiymc7pibCkB1oJbMgbsnMm1qrgm8lyvW6k1rsmY9x3RjQy///k2J+cDUDqzBmUxYGhtUdWYNFnroLxIxvecZZkqsO0aFyW/0GvmhaSKVCrSRLN5LuQn39bj1z7q04ldQGCNJEQ52zAVBcirwWZ5sSq6Ol+drUVR3oAqvwElY6uNEiW4bcbcNr/xs/jM2vxc2HPOTb6cjQknW9rSuX5PjduvaBBa+iPLIIIwdsDuJ4KVEQgx4qqdHf7ZO+bxmrtZGQj0gaNt5hdj9hzayHs/kPKjbzjNz/3DZWYnGwxGNVeuGWsGoY+va8SxpNtXRTBQ8IHIv8k4S8O5YK7qsGrRTilHMnAXgK/KEzvG2jKbYFUFeBXcKvtZ6ZK1czbPWVtlFYNeEPOxLwZ86NNtQuM5eSJUIU/ypuJq7cnaDGy5JFdhfX6Ij1cUVgOu6q502Ya6xpybwjduK/CaTvjpd/R54ajPH3zBAxkBilRIRiZzU9L8muRpc1sRT3b8Q1XbyaQDev55JJkmlxaRPeegtpZChwtRAXvR3VOZNFABe46Xcx659ZqV3oaxZakHywNJL3LgDi30w5R2rcvPv32B97wO4miGrp1kbqqOjhOPmlZcsl5wZKXJb31qI5snj/BT379Cuxmw2tMkiaYWaJRqcmZpjv7IZxSVTbOlHDkX1GPBxXmAfq4scV+8SH+fl73L7pIqsGU2qKYAt8wDSoOWaaG7VTXIVAlKulmDyyvwF19vsBLm4HYA9yT42WStalq++PyVLidJcY+PrWxjjH2enEG1LtuxeNldPtbpY2ShxZVRGOM094SfcvvrBnzu/gZLPQUyBqOI0YRCjNepUF6jsiikmql2Ory0C13NOdn7OahlzuZCuOATinZLKXMmd0BnzXUHCuBWE0IlOZZevtuHSHN21XC2n7A4tIyMGzs36lm0HfGD/+AMP//9lrPzmzl4os7EbINaI0A3aoqpluaCLR4b18PBkykHTki+tc8i05gv3qPpR+4TSwkiSsEkeJ7I6hDEOQHjGEOLcwH+YsAe7+KpsHbunOQ7qin7oto73wDWvU6zHRHKVLyqHGVgGeM1Er74jRoPP1PHVLS3krJSWGXXyJPKklsFTOUYw9D5KCrXwZWET7kT2YtUGVqJqvjiSeqhTcJNV0R8z8sG/MmXfFARCIkVgpHRrrwhuwGh7Pg557NUREv+ofNdGEr5gKtVyV0XYZ10yQJLm5Xc5vUiOdALwGf2ijVVpi97AnKpW9S5CMF0W7BxveVl16zgeV20ShnGli/f4yFtyoXbIp4/NsHBgxMsrCh2e5IpCXrLOknLV9ihZmYqZcf2ZR7ZF/Pv/uss870Ge481iK1HzfeYawou2WDZtj6i3dD4nkRrR19SlYXtaxn6vK/X1CzksiTPiKkKe5cTrey4RFHu59IeHAe3e11q72KLwVyeSHcEXszBY5KPfrHFmZ7vit+lG/SuBK5rJmOUsdqTcw4xBvhvo05KNicH91qJUh3vkMkUa4qfU5OBPJUo6bY/Wd9M+bHv6XP/MwEHz0oQMaAwSEZCosaKoCxirTw5H5PbfCRy5qLI0jbM1UwuT2y2khmbefhCFKCvttLZNZgwIo8Lsj+jXBm1dvMiJxqWHZvgwq2KmUlJvRZiSHjbTUMW+gl/+fUJPvnFObavFzS9BN009GOLbjUsyqbILSN2bRmxcf2Ij3894N7nZklki3Zbst6DycAw03C7/6YGktQV4khjkUqM15eI82nU8wO7HA0xDugqsMuG18rP57D4ecCtqnq7Am6ZomWCUm6IZpgafvcTbe57vO7OqNROe0uZde1UGnsrPYjnBJhrmHwse7sG6+dmMCmDPJtnhyvls7aiv62pgFyRpoZEalSiedV1ET/1ri6/8rs+YSJdBspIEuExFGW2EZE3Jn8bkOc+ITC2p6mwmUfuNLoVZWAqssaEXHoU7J0FmtUtyIvzJMlGFbmMaGFQZMSXV4L2R5pjZ9t0Bh6t+oh6ELJ704iLvD5P7zX8/pcUC13YNhWxY1dCrZGiwzhCqREXbl1iYqLPb/+F5M++tg7VaDEbSCZ8S8s3NANLK3BD46XgvFeuGjie1/JbU2U29t4aS1AIW9HemTxQa9wTaYvZeS8G7sIOLCzCSnApEzw/4e5HPT53X4Mw8qCunfaWqmDvYhu9agJqjMVFBdhi7LScmz0sEV5Nt9gsUzY+dTaTAvl7WT+iSiVG5mDPg07XgV9vJNz+qiF33Tfkq48qULG7CEYSC01I6ai4cfm5FPk2TJ4BOR8l5Bi9AmxhM9YWCJvJFRzQbSaFXgzoSNykOeE0ee6g5OtLfjaNFUSxpD/0EAK3p1HsESYe7Ybmna/pcXL1FB/+/CaGI8mtNqEWxOh9x0PaQZcwOMvv3jnBR+/aQJw02dSEtpe6jVF9t91ePXAjz7SqpOOp7IZbzUKuea7W764FsRDVfsJyNEE+eEbkAFNlgkXlk0/z4ZDKOmZeA26lUmTG3jm4dQZu34tZ7Vu+eH+dfadrTpoIVxIrisQO5QSpao312pUpX/bzQPvFhfc4zh1CCq+5WhueV2kWo4UZrxXPWVwKhUwNUmriUHPxhpjvubXPw3t8OpF0ACfT47hUfrY3Xglmey7I82rRQqKs0eVWZkFndp0xpSxxCaCS4KzIG4fdTWWzIi2byRGk+/Wi6iJRjpaLU5eGV8rNqkpT4SbOJi7hNdXS/OxbB0zXT/Dxu2ts2rCVS3YG6DfeGPH0fvjF39nAwZOztAPFxKSl7mVb7a3Zicz3RDFQJ68nKQqjKpnGIhOZs/Ta6rs1S30O4iJrKchqL8a191oNnk8+dSxelS3lXOux1HzO3DrBkPLHX6rzoc+2sUI73ztzThx7O3kydsNWnB6RW2CFJMla7qqm17dh77GhSbBGf9uKs0LRkGwLq9BkAzsVRppCrsSph1SGn377gAOnPD70OU2cZDUGRmIQhEKSbx1baHFhEWYNyK0oJUrxJ6Uuz2VJHlTa7FqTJf/cX7fYQra4gDS3VcmKwUylrc4tgm4lSI0bXZGkbhZhKEEICVaRGkGcSIJYZSOVfRq1Oj/2xgHXX9jjsRMeX3h4Av3nX21z/GRE2J3ikvUyy+7l236Isb1t3E4I2QjifLDOmqKhsXR6BdhVmSIr7F0FTFVzy0Ka4GSIqIBbVfanl2U6Xsqq7i61t65mK7PA0vNjDpyRfO6eJv2+B3WVsbcu2XtsHMT4eLmyxW7cCq2+8Z2SPAUTnveoZDFltUYlGy+cV/MZgTQSKZ0Wl8LNNGw1U97+6gF3fLPOgdPZRcGxeWIEI5wLJk3G5KKUA0V1Sm5pZNytCtznUBeVANOWlmF249icuTOQO41egtv9t3nNuqloXTfHJQWSNTLQZpNyk9SNUw5jhRdqPGVY1TWUbNP0RrzlOo2uxejrLmywvtFn8bgijMlmf+eyIRuHpqUDuiezrUDKKa06q45Tai3A14w+lnZMd1ely7nB23hAmR+6MvSx8L1lCe6qLHEpeJNtoFS+J2WK0jFhbLjroSZff6IOgcoCS+2cE1myd+4f5y5Kte9yzB5dA9zvLE7OS+xjB2NOSiV1nw+lNKLU4kaSCoU07ohDxeuuiXjdTUOOf9kjNBJENsUHQSI0Q1PGCVWOrroreXygKz9rkd+cGXAlZS2SzAuf8hvdAVlmml3mBVsykywmU2jnnA03kcsVh+WhTT7mThKnECmBjpQjvMyHN0aw0qkxtWGaZnsK/YobN64+9OjgjpnJ2j8MY1PUeBubMZUsQeyAXg7W8bRgvKumTMiMa3JbCTjteSVKsa9kZZBjztRVzV0yt5tdnYN+3ApMx19njonKWtGUn3Dfoz7v/8MJUqtBe1nFoEbINUVVhTWYe+B2bGD/mP1Zea+a8Pp27F1l8RxBDsh2TeInkykyA7ZwG73aXKoYiRHOG5dGkyRuf6Ffem+XfSc09z4iMX7J4tYIYhSjLBjEMiZR8oKr6i2rcs9eOjZ3wMwzO6WmrhZgmezaFpo7CybJ+giq8qWaE3AfohxOZBFZCa0rAoyVRSs3A0cIsHnlawoGjzBt3qHZtKqC5pb+0WNLBxt19VONADxPZYAS2YB4t9WHr5Vj8GIEsajUZDt3TVWmX+mivrl0SAoHpFLXnT+X8oM1MqSsNamCWxXFUrbwu/PEzjmFVXkrmorRKubEiuD9H53g/ieazmSVfgFwLd387aBSGntO7fbYkbVvKbLa9so4i2rNeyVmWTsOukz9i5IEzrsKZiRRxC12LMCVef14Ps7YWmZnEgJtefhpn9WhHNNSFqfJKWIHCm1eMjnneed8K9X4MlbcGpU73Fb+Rl7zsqa0srzhK+9Zh/Wxjqdit7jUlXAPI0FnAMudFCk90nDpx5bn9+3TN14eZx88IgoH7D1a48RZNxKsOlhHF8/jzb5lAmZcjqzV3OOzvu0a2ZK7I5ULm7N4bgWKcn8YlVuCxesS3KpaIbhGdyuVkAYpH/38BH/5jSa2VuruKnsX49gKO/DcjvmqPClqKSoafAwI39ZREZWm7ZzBSyYf77gvA04jKxs32TU1KkIiU0UqNHKYcvttQ54/5PGBj2iisajYVYaGRlDusLkWomssQ+GYHCgbIkSeFMpszcJVqQShIiu8ytg8n3Pi/q4oXBeTJZNk1tmfzyLMN8xKUlch6RpJSlkMML9i2HM0olETNOuu3FbH5gT1AF44Dg88o2hpiRIetUAVuyPk/9h4Pfa4bz3uZ58H2BnjjCV1qv+NrMqRcZmydn+YKouXAC+BLitAz2u9deZ9f/XRgD/8cpNRmrUryTKxozJpUmhvudb7Hvfxz1tBWAHJubgeB/nYalxdoiuypQroQovLSgJIZuAWbuKqTCVGKFJhEMYgjSbwDO/9B30efMrnq084uzCXKgApmlGhxiuloOcBeblNt10D8IpkyUFbBXruhWdui0sC5baizaRMFpDarBTb5OPihJvaVVkZ3VhnisnB9QAu3JZwxYUL7Dvhc3Kxhl8z6E/eNYVWgqVOyvxyyo51gvXT2c6/XiZDxuy/8QBxPGlTvlftVZRjbootLcFiK4yK9s6TOmMZzGwbuzW24HmPimsiVYKUKVImKB0zCOFXPzzBoZMBNge3cOAWQmR7cFK4N9VNsM7tnD8X2K7WWpaYOAfhlnPW8Xw5Pl9Ws+KFj221t2bjKiNsCfQ86JTK7WpsNDIy7NoU87//eIcH/0VAb5R98CzgdM6KIiSXKC8OclXxP+3aIFE6KYHATUAsEkEV/Z11BDk2L92WMaCbSiBvqjirTjVzewdp7c6F5wnWtSTb1rfYuUkzDH1nRly6awdaa5aWO0z4Z5ia8Gg1NI2a877zHsfxAYvlhR3zhKmCes3rtYmcyqzntcPUC2lSBbiqSBRZsna+666UZa2JzBM6WYCpdUySwm9/psUTe2vO8856GJFuB2UlXMWgS+ysCSrXyJPzpeaFKLOW5bCftcv+Gs25VmdmoC62Xsw6fUxlApax1arD8cSPzfxwISTCSKTIWtyERhrDtZfE/Oz3d/jPn5gkSnMWF1kkCIlVjEzu459bTmszH7v82Jndl7E0ULgneYZT5lbiWpBnbC4qQDdUXKm0lK8U71eALnCrdiJJUhc8n5WaUThBsz2L9prYNEW/7a1vptls8vQzz/K1r97JuhlN3RcEvpsGpVTpZ1du3jJUqLgF5cVeO7S8fK/wxnNAn2e3gEKiZBseVcEt14Bbqyq4xw+ZS5RaytceqvEHn2nRGXrgqywd74HQCCEy7V2yd7Vl7nydO+PjEARUQJ+fkPOqblGy9Vq859ZgmbJ33rfMOtptJlNsocGzIqxcpxrpGFFKbGYbCmHdKLUkpV0z/MQ7Bjz2XMBd31LQSBy4yYNOQSxlthN3Nuo61wuFNy7KLfSy72lxIFc5m2dM7r5KNmlWOjaXlFWHOWGWDRFrPHkBIq2ujhlpjBXpGSItiq6zXj/ljddeywUXXc5w2EfPTmtqdc22jZJLd7ndxpxmdeAuPkR28gvNaM+9bmQf5MUYvZQqpiJTzhNUFkAunZP8PV0Bt9vxK9PaGaBlvq96VjEodcLeI5r/9qkWBxY9Z+9UGVxIt0V4RZaoyk2Z10+PBZhrbui1ZbGicoHG5co4qKvncmyKkz1XphhbZfBMi4sM9JlMyW+CNGNvKcs6lVRoZGzZPZ3wM+/sceSMZv9JgdUZk2cf3BqPqFh5sg8tzw9yC5lkEcW1J2fz7J8tHRAKts7Paf7e2nrwcwLyTMMVTnzmTArKof95OXQUR1y9bNkaK/ojhZ6eCPECjy3rB1yyo8MwFLj9FsvMVrEs5lVttmLbnAtxyqGPFRav2ldije4+B+Tju+qOSZMKuJVMC/dEFoFm6X37QcyZjuBXPzzB5+5uON2txgNLmTG3nwW3xVSoivZ+0aBSniu1X8wrOa80Ka9Xmbq35wK/mtmURfKHsUyntPkGqo7FUyERqWNwY6xj89TgScPttw3pjAS/+J8VZ1clBHFW+OG+rDWuKKv8PuJckOdViBlbq8p7VRavJnxEJYVfnMMKyMe8wcqrtbNS8l7N3H1yOHN27dnlEaeWInqjlNV+gk5SD2UbZ8LY/0qrNfvG6fYyUmUDV9J8a2lZjKpN02wXWlNpjoXsl419yvG7s6JpC9bOJIoYkyU2Y2X7bcEtpRlzS6oJHZnp7gjDFx5o8rVH6pVak7ygytmCebdOsR3hdwC2pNTYaxm7yubVc1Axhc/r+1ZflwGnIO+mKS5y4abkHT9Z8GlcTbWREmmqAafN2Nvtn2mEJU0sShvecGPIW18+4E/vUEQJrqosDzolWKuJTF5VY88FuaR4XWjwAsCl41L0cIIb61YJKvOV8XzJsLEO+8oUqzSFxLr6lCQVJCY7LNjUsGPjOho1/ZWJVnBmNBqi3vf+3+bnf+KK1cAzq55e/qGV1b3MTg3YMD2iUY8rlXqMuRvVem+5Zkkf98DXZCortR2yKHc9V3N/J3CXGcvyWcuyDS2VKX91X53/40MTHD4duL26Rdapo7JREJWkTl4Wq6Ubal9NWlV3MC4TOedua6iEZGxAvxhP+OTJnDxho4rEzbk/F0md6rnMgvVS8lVuriLYX1tvvXbqlvOhZ9opl14Qc3xesf+Yxti1y5GTQCarGpXZDSqKP6d4vVZVFP2o4tsvXg7I4lyWNmsAnRVcRalrNB7Ggl4oWQ4Vp3uCM/2UVIYEQZfdu3Yx2Z75Xx56Yv9DP3z7a9wePfc/42pn97wg+dpDbeoNwQ0XdnnD9QN2bfTp9JsMRwEj5SFj6yJXad3MvNyTzdgkX2JLdrPjWrxgbgrv2904pmDwQnOL7wDuijWoCg3uarxPLEr+4LNN9h0MoFmydi5NhBBospS8rMiSNTfqOa5JRZPnP8tMD54/wfNtLm6FrUrWNufX5FQ3jqoEocbdSKWjIrPtPtyfCSkzBnTOigs8DXFouGRXwnvf3uORZ3yOLFQCh9zusAKT2YdOumQfuHBNyspBZXEMn/veUmRa3GZdO4w7qLk0qQSV1fNR7luUNdgY4UpmY+jHkpVIMBjF7Nrc4Q03dLn2gmxOeW3A9OyANHGbwWqAyekbaDTqeEfrrCytcN9zljsemeTT93T4Vz+6yKuuTIGJrCg/s5Cy85AaQSoEwoix4KgAOHZMhxdbwVXBXjB1BehrwC3HwH2ejGWWrdQqYbkn+C9/2uaeJ+pZA0MlsJS6tAWzgqrxoirGOnXK6sdxUBcZy0ogmfsE1djyOz2qwXpe2FTNXmLH9afMEz2ZRBEVm1BKW9SpCOECT2ksBkvqenCcJhfGyZaB5bZrQ37+PV3+w0cmWRlmX8iKsQ2S0wzkY55/DmBsUS9eyBdR/t28pkVC4ZkXxGHL85cHnaUsyecROozFGYMPE8FKJOiNRrz+mrP8qx/psmujIo0n2HN4hg07rmD77quIw2FxL3LRro1cf/2ld7368lPv/4E3pWycTvFo8sLx9fyrj2zlhRMp9SAqpq/m87XHUubVEtdKwFidY3KOLSi/e3CrMZ/bZImczDWp6O9QWn73s00+/JkWvTgbrCgq2ltIZG4LivJzlUmdSvKK87C4GG/No3LhSzvlu965qLgVxtL0Y2Avj7G6jDwOKpb38dY2Wwk603ymSnakRmOMJk0UTQ0/9Y4eP/19Xeo2gTQBk4DNnk0CNiU1EFoIjSAymWywTv/mE2DTvEbElkMzy5HQJSunthzNVmXpclrsueB2hyBKBYMYLt22yr97b8iu9VOkyTQnFwVfeMjjo19Yff/U7KV3efUtJcC3bd3Mf/udXxp88/mTh/edhoZKuXAu5arNlsC2WO013U5fMNahrgsAloCuasDx98bdE/XdgFt8O3CXDC6FkyZ4Kc8f9Pjzu5p0Y+0qwEQpS5Cur9yl5Me7db5tQzEloM/xwityZEx6VlrXXozL11qu1YwmayRKbg+W2U1KT7wAkGRt8qfcua3cmjCfqWKsJok1LWX5wdcPuHR3iEzTDNipA7nNXxuS84A8tWSBXgXktgR5fph8z/lz3JBzmbsEusiCSYizYNLi9gZtNerE0Ub2HlnP0dPTRLHP5ReGrJs+dPjX/8svDaZnNpQSBeDSy3+Ier3G8TP3saHxCHPTknogmZlQJOFmVru9Ypaf+zi6knCwBXuJyqXLNVY14VPV3EJ8l8wtU5QowV1N5MhcmviGpw96/Oz7p3hmf4D1cp87z1iWtd4O3I69i2E+lWD5nLEQFZ19vrLYqu9dtquV5+TF9claeVIFvTuvco2N6FrXrJMqwhbWodPizk2RwoE7CxXdFoDWbWaQCovIrEQjFAJDGhmuvCDmg7+0wk/9R+Hmofu5cM41uYNLYmSWrREIc667ogsfPHs/kyaF6/L/b++9wyy5yjv/zzkVb+w8PTkHjdIo5wgSORkEeNfGYW0Mxt4FB2xYlmB+2Aa8tsEmGIONQU4CgWVEEEgIISQrC0kW0mikGU3QjEbTM9P5pqo65/fHqXDqdkuIKMBbz3OfG/t2Vd3veev7ft8ktV1HYfGThefCLB4D5/BAOQAAPq5JREFU7l5slBIpNONVTVXVue42n+GmQzXU1ELJOSdtY/2Wc4h6Hd78xveVAX7chmEqYYUjW+skMwGBH1AJBUuGEjzXTN0NZJQqFsbjNhLi4r/h9wPuTPrrB3f+XBTBHJuauF7MnIa/+fca9z4YkDhO4VBahQxZvokvygGdsvJjAXoxMJcoSWHJF8iDZN2tnpqsLEwNzeoR87BGTk/sCGfRCdZYOiGMhRTaOJVCZfWyMtXBM6MjUTgIkYI9jXQ6ieakY3q8/qXzvOUDHnOxMOjI9HHyVU6sZT7JAQvkwgY5FP4axiJnCwMWgjwPJtrnJb0idGPBfGKuGr6AiqtRseaRvTEjQ4JqIIljF29wgOUbl9LutfPvyQHerDkEobdzw+pg1+zhyvq5+ZhmHUYGuowMdBiotxmoz+O5MVHsMjVbI+q5eW5uPsu+hPIC3CKnK8pKstIlcGcZgVIW9KRQT8q0xBFZ6VlCK4FP/nudK6+v0ZXlJKr+fBOTUGXr3k+Sc4JlvelTTBZ1MC3Af3dcL7DkpYIH+zUrdK8QebdXpbPHOl8EShslIZP2MgdUKON0mkb1kkSbXPFMVQGDJF9EXHZxi+17XT55VZ35CHPCcoeyON5YSjoKSCvp817KKcidXBtPn1NQEEF6FaKsgeciDkYyjVMOPt0TTM4rkiTGcR2ixDHTOWRCFCsqgUC6AdMtf5cW/s4o6eXfmZXZ8afv+wvOPf/8Xa1eMDZxeOaC0Jli1XiP1UtnGWpOIeUMdz0Sc99ueOywoh5K0BXmOz5xInPHxgyiKhoAlaKUlibuyEXyS+znjv1aEaWUmdWWZgrxfKz5+y/V+JO/G+DQpN+XApt1qHKQUhAICKQ26kmuexcT2uz8k/4607xQIQ8C2c8zjVumvkc2qaIYAJC/tuB7iqtHqRROFg7twv4yesEVpZwIZ0rEyjRKl64+xd9bPQI1DDQUpxwbMduSPLDLNFotOSH5KpZoRBqVL4YgIAodfDFn3DYCC4Joi1w9W5HA8bucsWWCk9ZOsWyozf4pmOm6zLfT4nAn5tQTl3HmKes+PHFo9ydOOOGUhRYcYK4dokXlK0uGefGKwfa20cFJ9h5qc931gt2HBrhle4PZOY/BasSrL1Kcd2yFJPFQyrbQJlUyD2xaJ7icTKVSHVzh9CsqjmW1+3Rux06FDRO+cE2NP/27Jk9MeSbXtSQJOvSnwtqcewFFoR9g/QARfeAoeLntVJaoiij/sP1BjX5LXtCShZ9d2JyTUiptNp9SK22suCoWmMp4d3ovVEpPUroiUkEv6mmWDsa87ddmODor+eev1CG0qIosHmvpEGMaYErLggtMA6AkrXsUKS0R2pIDszYVoogr9APcdwW+rzlzW5uff3aPRkUx05rnjofm2TURcO2dA2w/UGOmG7B5xr13zfL6Vyan26VT6thPPnvFpznx5Ma+Q1Nzpz+4d/Lk23dEfOJLdb58xxA79gzhEzASugwGPi41Qj9EiCwfRVjWpEhtXFBY3N8CIs8UtPoJyoX5JjLXutNU2ECx84DHe/+hyT3bQxOpzKYxiGwqg2m/5qbRymz0djHbvSidy6y3KT+zKpRyK95nefOIpCgsem5xC2vdb8GL4baWpcqstbSf258RpddK1K/fOltW3E4WA2PlbUtqZ+2VXteaZjOhEmpuvc9jcio9OSXJCEiLJlTKpGR/urCwm7EWhcgZoPOrvHVspshdEHiCaiBYPupy3NqQZqVGklSohQEnrhOcsbnLaVvmGWi0OXZ9l1XLel9+8OF7P/yc5/1WCeAlCw6wa/IYpBTceY9kcmoOlM+KBjRDTT3Q1EMYrEtGmg6tjkPgp2tfK2M4hQm3Fx6yJRHatzw0X5YDs+eFUqJycOf0xE/Y9bjLOz46wA13VyDMrLUdzEk17zSRKusOu6Douf+yaC9MWFBgnFlrCyPWJby4PH9fm8XD+wfE2o1wZJaXIozKUvBxY721KO4zBzR3PlP5jtSKJ8J8qUDnfDxBIzpw8cld3v2b07z9o4M8ehDwsHJQyLm5lg69rEjBsuCkgSiRWm/jBOduBbaXmQPcEXnLkkogqAQOE5MeUgQMNiLq1Qq1sEa92mXFYI9fvKiHXwloDq9Ca81v9J3SBQB/42ueh+u6vY9EHR548OG84KHiQzUQVCsOtfQmpc4HBSlptE8TabNlwjJvXDw1VpcoSXYvMhVFWNzbi9kz4fDOv2ly5XVVetLWu+1UWMOHM9UkoybZfck/oAjq2K2QSxFLC8ylFFn7vQz0luV6Opjub6ds0xOwZpDaGji6UFxy8Ij0lj7O6IgWCGUUlKwfoVTSTKy3aAqq4ORxoglczSsvaZNowds/PMDewyliMtkwV0aMG5mDXGfflYGdFOAiTSMofNLcDuZXQcgH+zoCpTTzbcXhaUk38phrO9RDl5l5H9fRaK1Yunw9K5dc1lMqBt7y1ADfsGqEeqP+B694zrqtm5fuvPDmu3u4rk+9IqmGDpXQoRIIQl/guUXCurJ4Vb44sRwibB5uwGsstR3EKRxMmVvwomjYdWP2HnZ4y4cG+PzXawbcTqZ1l4M6ZtIYeQOf8thti470We/Fde7yjJkC7AXvLmvglnX/Pgx4DnQL8ApMqiw6t8RFUYHNzU12oclPyay6RBl5xYBcaRLScL4qfhvSkH4W54hi8Ih49aVtXAfe+tcD7D1sHWQm+6VAVzj0dGrFpbm6FAvO7LPMrkB2QMs6V9n5zs5BFCtanQSloNMVzLdd5kOHRi3BkRH37w05v775m9tqq/+g05lfcE4XALzRbPDZq78wq9E7dk+o8xxHOiNNl2bdpVqRVHzT7TPjzzLLN9CFLmv/wDlwZNbWQC0obMhpiljoTGYhecdNODjl8LaPNA24HVsOXGi9pczyvAuHsj+YUy7GSDmvBe7FQvXlSQ7WArCPmfI5eDI06/LTAtSLfCaTAUWfk5lf9lPLaABlAkCZFCiEMsW+aQWQELKgKhm4VZYcQJ4ABWaamatjLnt2mzgR/OFfD3JwioJdZCPUUp080ZJeuhilSg2GKuheIowVF33HmhlF27gopdMhUwmdrsJtS0JfUq2YjlYjAxHHrptNNqxu7djxwGdmtxz36u8OcDDzUObmWm8I3BWnrxo/ctJQU9KsCWphTCUwwO70JJ2eXGh6RB+wRZ/enafQlpOoylJhxsFNbrfjxCSu5hNX17jyazV6Tsq5ZV+eSap3S1GOVmaUpDxfRy+03lh8HMv56wetyA+1tNk+GLnz/RSbRUsW5d/9iVcZ6G1+nlpxlVrK4u+sRZHycMOJZUpXDBnOqEwGdGPIHUMxsudK48YJr3xOix27Xd73ySaxLZHlltycgVhKuso44CKtjJcakjQym6RW3G5slB977sum35VAr5PQiczvFwaCaiiZbzm0OgFbNy37z26n84ZqLVj0FC8K8J9/6Uu59prPJqvOWacf232Eqh9TqyYM1nvUqx3mO5L9E3VmW0HOsVUmBVkrMLfaQueh9vzm9IHasSOUdjV8jPA0195S4Ypr+wM5C51KkcqBgVVAXFTI64Jr99/kQmv9VGF5O9hTSIEi/6Hyzyy2Emw86/L7i1nwcmtl49DnUUzIKUAWABI5l86cS5VHNvPFkIE6//caIZziMZl0aJ4ngC8SXn1pizu3u3zt1qoJSlqyYfHYgLynwdGFxRapVZcIktRBXkwyFSJrHmWulrNt2D+V0OpIGgEM12OqQczUnMu6Tev0g7uc5NWvuuzpAxzgpNOfRRL3OHp0B6sG97NkeB7EPLc9BHc9VMdJNEM1Qb0qcB2V/zR5iqko55fYdZZ2uqss5ZhkeScJUhhwS0/zpZsr/MFfD/Dg7iCdvmCBWha0BCsUX9K8F1jxcsbgwuBHX+5JH5izS7JtaTLTY+veljlaFNwLX8/lhQLoWdKVsK1dMcdSW4ugAEtR6VNMThA5+DP3L7s31l2m79lr0rH3DGI4fl3EX7xxmjdL+PLNtQJBebTTWAytBZEqrn6ZwylJ6yjTMZSJNFMM80h4enKkBN+T1KsO61Z1Ocmd4duPKG5/sM7+6YBlTc0LtvrzZ5+17YowrD4ZjMs6uL295f/8MQgZBWLiopHwrvC+PS0+fV3Av14/yMO7qzjKoVl1CANTge+7Ct/VeJ7KR2S7bnnSWTZxuJjGUJ6+kDmTWcmZ42uuvqnCWz88wAM5uO3iBc+y4sapDFPebQBeRCsdYe7tts65w+n0VdLb0UtRRDZznVv0jTbPP1vo4MUo80wDtkecLx7YsK8gxWOL80uLHvXxf5FGURa78mAt1pIKZCXV2DSsuEJZ/ywFqVYwPhKzbXPEvickO3a7FIN1+hasMK3hzBDaYh8kZT8mU0+yaikv7XtZCRwGmi5bVsO5x3U457h5Vi6ZZ7oTs/Mxjxc+67SDs3OTrznjtLOjJ8Pxk1rwkaaHbm//l/rG9e+86sv1gT//V8HhIzWGqpJ1YzA2INLGh1kHKnIgFx2n0glocuEoEVnK5y4oiUwbZEpX84WbK/zvDw/wnUcXAXepMt6AO5BpZyppTWSQfRY7T9l9ioQqC1gs+pnFgWHnp5QinU9qsdP7zEpbr9vThrP8jWIuju3Uayvhys73wHI2ybl4sUfSDrSnjzK+JIudlDrNGnTyfRM9OH5dzJ/81gwa+NLN1cJUyow3AUqgpEM35fpGb0/bPqgM2JpYmJYTSZ4LXggWSQITUx6+O8TKJQEvOm2OUze0ufzaOuPLj2dwYIin2tynfDcc7+7fN/v6bz9y0meremdt6zJB1dcM1B3qNZdKIAk8hefp3Gp76cjsIme86PRa7mFSTFzIVZN04plwNV++tcJbPzTAA08G7pyamGrqTDGxK3RK3akWdSzLBQ4LrCcLAb/AypXAnNk560MLH5ZBnmLKpiP9OeG5YtHPwbOMw5KyUrQ+M85loa4U9xnoZXqvipqy9H8JDST2nhZHmAB04fi1Ee/77RmUgq/cUs2Vl7xGLaUtCQ5dRDq/PhtGW3B8KUwxQ6auOYkwk41jRaermJl38FyfKJFUwwq+2+PXXrp+Phjh9U5taff7BviefW1VH9x8xy9fFswsCfbUHtgVkyQOAw2XRs2hVtVUA03FVwSeIvAS/BJFSax+3UWjnvKcnDK4tav56q0hb/6gzbmfDNwmvztInUo3oyFWneVikcuSTGiDGPou+/2cut/ZtIpwxVOdyad8swx4FpMPrXn22LJs+p5Iga0y656CXlgptVbwBSHTDECVc/FU7815uACK2ssn2c8eHLsm4s/+1wwawbW3VtI1YR1v+h1x2qo54+ILV38qKUbF72eobIzjCBwhcYXL5Izg4f0Bv/6rz5vZtH71HbNzR59kD4t//6TbmlVjLB1rHtaid1l9yfHRkZmYZs1loOEyWIdmVVGvJlTDhEoYE/oxgRfjeWZEiOeaCnfPjfMmmGVgxxbYDbi/cVeF3/3AIA/uCaxxfn3ZgRa4S5Y7492iLxW2D9wZeJ+y54ltzSkD/cks9AI15emgmT5qkreL6ItwUljpjM7kPWpKzy2NXBX9DO3eKnm5m13509ehtn+islKOKX9TDknimueJS9x12bom4i/fNMVFp7VxkhhUlFYFReaWVgXFStNW0FKCTgK9xHS27caCbpyO5o4E7R60uyaCOdtKmJmLmJpVTM9L6pU2l164Iep025dJr3nYCZY85Sl+SgsuhMd9DzxKo7l2/5rV3V3rVjy6ZaDaY2wQmrWEejWmFiaEgQG27yV41iThkiOZN+lJW6rluSWmZzeu5to7KrzpLwbZsScw7dXkk/HugpbYcqCbKSVPqn3bwO2jJixCTfLzYL8uFrXo5fO2+CIoYbtfHrToSCn4kYPb4upZ1LiUq5IOZNWWJi5MsCRTShTaoiqptJu1iFXGWU7s8vdFFqN9TJmISBc2rYz50O9N8ca/hK/fnlpyQXEFSBO9YhyzmKTZH18LEqlJtCRWmljptE2yJko0caKIY02cmAKbRmOUrVtO2LVqzbr9rZndNAbWff8AB5DSYfeOO/cM1hqvffb5x9x4+MCdDA8IwiChEsSEfpQD23WThcGaPOyevRZb3NvMytFS8/UM3PsCdLAYJSmrJZnlzsFd6ghb7k/uLAD3kziXWNKgDV7LdJdATz/w+2o0SxheiPSSFCjKzwteXaQelyVBvSj3Lv1dPobQVNtLmVEVu7GmxGh2xumUUpKoovdavsgyUGsBMllwTLpnQP6B35nif/255vo7qqhEgE8h1qcrWUmHDpJYC3wNgYKeAlcKvFjjxeA7mkqk6USadlcz2445Mq04Zus2Dk7w2gd23L3novO3fjf4fneAH3/MarrdFr5fefyRh/jWI+r280cbRwh8H1cm1Co9fC9GCEWcVnMIFs856c8v8cOYvUckt9wX8q6/bbJjTwrukvzn5WqJkGbmemDREk/aYXir/ZosO5XlULwuSXP91j0H6JM5n0+Lfz99mlJk11nPLaBjWegsBF9ELy093AJ7PmspU1By0GdtJ8g5t7JATgpylfU9yQxdeqxF6Cd7XhyviGDL6pi/+t1p3vm3mtvuq7D3iAbfCl0KBbho7RClA7G6QhRGCAGJxkUQuNAI0wIVp8PWtRXWrFv3rdPPPPvxVqtNWKvy3Tbnu34CeM97/pgLL33O0XZcnT0w0XpV3H6ILWsiBuqzzPfm6MUtlO4y3Oilo0VSOuLGlnpiz4aP8SsxDx9w+JOPN/ngFQ32HgrQ+ZzKrBKnqMgR0gRxQstyZ+DOcrvdPnD39/fOrbuV113Ove4bL1Kq1im/LzIdXFgdq0ShiRc53MLSxft0bfsmKfkGT5rotchVCMz+LFB9smimEOTVBhQ6ePkqk31ZkcutCy5if4p83nYp2JWGlBSMDiVcdFqPpUsTtj/icnQyjebk8kyWimhWsNKKRGniJCaKuozU56mELXB6PD7tMNd1WbO0xW//wgmcesLq35+Y2HnTkvFNT8t+fFcLnm1LxtYTVhp39Fq9qxrq8MsOHrmN2x4RfOXWIeY7kqbb5VdePMmlp0Z0Iyc9kVkueFqHKQxFccOERw64/NHHmnzuuhod5RYFC7kjmT03uSU5JZEF3y71E1xEObHBsBhFyap4So6kDZK+xzY/yQIX5SQV3feT9ysFKV4s6a+49Befyfm2oOxsioWWulBNihEgubUWRV/xrOllPiZEpTBL6bbss+RmvF+aJihylJPhW6cPtBY5drOrkKMF44Mxv/j8eQJf80cfGWDnAR+CDOQJWbEEWY9ygCjhuWdM8T9eNEcoPFo9+OKtATfdP8TWjcdx/OZTrhpdtvWO0Wj26cL26QP8+C3L6Mw/vmfDqjPeuP3bX3c+8E8jL/7KbSE6riARjAzNIZyptLuUKoCdmgCRheR9zc4DLu/6myaf+3qNjsjAbaklOS1JZUCR9g4UaQ2stMaMiL78brGIHJiBWC4Sou9zHhcoJzmmxUKwL3A8F0ot/Q6oveU41+RBmhL4rdczmiKELofpc2cyDfRQ5uPKStMTFqjN9xpuTj/Ic63QAN0sFFXIlLl1zyiKS5pVnp+cXgd8L+aVz2qB0rzrY012HfDBS0yqRX4CrcuJBqUUq4ZrjNYHkCJh27oZbto+x3cO+FevWHXWG7fvOLB365YVTxvgT4uiZNt7/uTPOeviS6a7bDjha//RPr89NcsJqx2OXeNw2UVdLtjWxXdjXLeHkDFCJEhX4bgpuAPY/YTLOz7S5MrranRFWqyQAVpaTenTzq+BgFAWlMSVVjDHBno/Lem/5QOv+sLkdgla9jyvx1yssLhMWYowfUpbckqS0oYF1EQsoBgLnFrEgsVH6TPZ8/T/24vVCt0v3oVLFA5fvoD7r0SpWSpftvKC8vxVnX/pQmc6XW2eVGzdGDM2rLj7Oy7T02aliUThaKOmOToxqo8TcHi6wcxkkyQeZnquhu9Ith2zmnPPuuDzc/M7P79x47bvBbJP34Jnm/TXM7Bk+fueddpj6/cOt14dOvOsWCJZvSQEFTLfneNjV1b40i0VAJ5/VptXXNRhxcqE++/z+OiVNT57XZVeDm47t8TPnUk/BbeX0pISmC0JsBR+Z6Hj2J/3nduLfutdApitoFgAKb0nFuLCBhLl955syy2xZcH7rbltqUvyYGrpFamzmb0nrMQsbSViQdpaIp1hmTIQSWHJBaQ9BGU6Z0ebnBJtMkMLiVKgpErbQQi0Y6hJDvrs6CLw3JhXX9ICDR+5ssZ3tnusXJnw8os7PP/MDloLvnhLhY/9+zjoOvsOSu52EsZHHVrRWoaWH3PFMau3vQ8Ofq9w/R5CbNZ25ee/gusPVucOfeurHk+ct3R0nmWj00jnCP/4DYc/++dh5lsOEBHqDlvWd3n+uV0++cUKRyddIuGkvbp9y5n0jTMpBIGEUJhKHE8WTmRGQfrD7zaoYWEiU3kIVvGes5j1tqxzeaBtuf1x8b5lvTNLbr2XPRbWFSDfL6tNRKnpUFqgXepVLrM+j7aj3FfMLawJdf1jGe2+kFYBStZar2g70ffY/oxUlLsjLNY7Mss3itMoZIyUEa6bEAs4POXyD1+s8IJzO2xZF+EnLlp7zLU17/uXGv983VK0qrNyAFaOOhyzcfymN7/hec/dve9w68RTn/M9Y/V7tuAAl738+Rw68O2W1s/uHdr1Se57+CDf2Zdw+fXDbN83gHYCgoam15rH0T3OObHHedt6/O1VFSItrTIzB5tzywzc0nDuUnu1/mikDW76HEjreakMrfR62XqXKED/vU0vWPg+i31/dil/Kg6eChu59bY/bwVubIucP6fsgGa5KYWT2cfHsZK0su9XmOb1FPlROSHJryRpcbNM28QJbWZdpm2epeVk9h0dJsPRdE9RicbzEnxHc9O9HoNNxcbVCVFcYWq2gdaS33xxj0tOfZzLr29ydDpkqruaiy55fu+uR0Tr4nO+d3B/3wAHGFu2Fq3V7fseO/XsD109X7lrh8NQvcKKGlQ8xXwscEcSLj55jrf/2ixKwPrlCUdnSDWxckWOkILAgYow7R2yxjx5uZl8amBn4CoDfKHenf2A2etY4C75PP3fXVochZQG9gIwX5Jj+mlcHzUFJS7REfqoi+gHdEY5Ckc148ylhdCfr4JIC37NVDOyyhtdnCfTGSstVhY6B7pIwa20+T2ygFNOg2wmLtLqfKFQQiJT6rLrcYc7Hwi47YEqncjnohN9RDxMt+cS+Anrx1t88PVHuW9Xq3vd9lNu2rhxw+0ym/T64wS4EEMceKLztiUrX6pf9/IDv/PHH38sXDsCjdAkqoe+5LnnRlx4sqDuB+B2+NUXdrjrgVratKuYMiyksdwVmXWe0rnVzqTArPo9+xFskC7mqNmt10p82ga69fc24MuKiShbaftvKcBeEk/6rPhiSLcj9bk6YXNu22rnr4ly0EYYEp5nFurF/rYPhCKrhzT/XUFawlZWdPJbDvJiaKsQRrXJGjhlllw7FsBTyCulUFKhlEKLhE9+KWR63qcna7zrU8M89wR43mlNAl8S+Ip6pcbYoMMtO9YfSbqtl61Z2pz7vtH9gwAcYPl4qB7f9Xfv2rx6OHrZefotMj7iK20koPFhwVhziG5P0ekppOix52BWeZN1oDLPPQlVCaFUeLKvCt7O3y4B2AIbkCf8swjo+285YBeC0wY8pf9X0BQsnl1WPkT+vSVj0A/xviSrXN5LX7QpSymTMJMEIa2/7HdG7dC+tVpEqn3n3yvs/14st5QjZSA2x2SAnWX7FZzdOJ6OAu0I42Dax5t9Tim0StBCghKsGU/wHEnkhgROyOEjmnsfliwZdhEIksTh+C1be83hVZ+gV+nxA24/EMAB7v7OSM8LBt977qkP9544ePTde/bHMvRDRgZMHkqcgOcqtu9x+Ofrqmg3Bbg0IHeEIBQQSIUvwXMs1aRf0rMscwaM7ITS97ifViygH32ALl7vm3+Zbovlr0CfBGgvHlFeEIvgu4CXLsGsVF1fVlAsFcW23lnxg8gyxMvBH50OXM0VFopjzYeHpem1ItfNs78p0ltNy2WrY1a6H0prlNPf4czQE0dJlHZQOkbFkv9+SYcrruvyn3s0nmNy0SdnIiqBg++1mW776kh72btPO3btX0wcnfqBAf79k5t0e+GLX8Zsd6ZdHV571aw8Tn97Z5fQUww2Ipq1LsPNeR49GPF/PjHIgcOV1MFMKUomBzom38B3NL5jQG7u7VvKy53+ppiLaNslEPY5T/bO93HwEp3pe97vbC6s5RS5pS+VZPUtwP5+hHbfkzyA3c/D7V6E/VmF9L8uFiwQ+/9k7+f32JPy+seEF43zi2l75hbFkjiWRLFj3Vyi2DHT+LJ027Qpv0aSJC7Lh+Hdvz7JxuVTzMwlTLYEM/OKbk9xwoZZfuWyjfqs01Zd5QWT7Re86KU/KDx/cAsOQLCeKBh7eOXKxhte8Tz/o37vbrl0dI5lY1Psn2zzex8b5/pvN1GuQiY9VBopk6QAlzoFt1nVWR1lf3u1ft1ZL3iwcLMDZeU3FtIW0fd3heMqSm/kUqBl5W2QF2aj+NIFLFxbKR4psvPe8hQWO895sp1JvZCLl/qJ2+clfc/m+2LBZ9IrQ9/+5Q9zh8GidMLM/zESpsrzztGZc6+RMknHkEM2/LcXVbjwRIf3v26K3/+YZN/UCJ4jqVdjBscvVJs2bXhDY3TFw0RHfyjQ/J4imU+2febyj/Dut7w+2XTWCfeMc/fUspEDz1s2+CgTc13e9g9j3P3gGMOVgIFmzIXbjjA1I5jvBDieR82FmqMJPVPf4DuY4mWnaGucW22xSF4JLKAsNkhhIb2QItOoKXeRlaKkR2fPiwhlWQcXuQ7eX2xcpi0llWYx0C9Cr0pKTgotOyHLvtkFyjL/jCj07Oxv8rQPUTo/C4xGytPz4ggtC8uuszmp1rgUVUQ5Ndmxm/45rqMIgx6TsxHf+LaL59SZb42yYtRl88oWtz2keeSgZGRkBL+69HcvufiFf7Nn93Q8NHrcDwXgPxwLDmzctJEjhx9LVmx86c6dDy+b3T851firq9rc98AQx4/D8lHJ+Se7XHpWj7+6MuYDn2viVY3mHbgQuBrfTamIQ86/Sz94n3Nm51tklqtknZ5sE4s/L/N2sdDCW1a7AHH5sQGY6AN19v0ZT6Hw6XSxv4oia1WmGnWmVZt8E+OXF92sFj8f9r95Olvx98L6nqxaSFg0R9i7D2nJn5QaN9GoRKC89FiFxnUTlBKEfsIV36zwZ1es4DnbGlx8osfKJT1O3nCE337JLJ+7eZw/fO3Fs2ecdurOx594Ilm7bt0PC5Y/PIADCKdKvRpdve2kc3/rW7dEH3ji6A3Da4fabFjusn6Fx7plEa6o0qiYGYa+hNBRBK42IPdSy+0UkcMFP0aJd+qiOkUVQF/sb8wOFpd5rMVjKykUH+3j3QvTWIs8lzLQyf42+65Foj32PtkrMwO5HUrP+xBKSzbEHmOiFwH2IicjlwA1i+xSvl+FVU4HX6Vj2zO6VOx7QVliqXFdSZJSFSE0ruMSewZi0y2fXlzlsQOC79Qk7W4VpWJO2dxk28kXHt206Yw37d4ze/XmDd89x/t72X6oAB8eGgZg576Zy9duvMT9hRf77/v2HTeNDdY6rBpPGGp20ETMtE2ovuKYMZahB6GvCTzwHdOOwtalS6DGstxKpD32iktxqXDARusCLNlKdP57ldSWsnPZ3+PEfr0Ix9vOZWazbZzpPi9Tpzw5C7Tke6SM81xkBGYL2agaduDHHG6RGrvgciet48OS8ez9sPYndy61QCV9091y57aw7Jl86CaaOLEBrohilzj2aFZMTcDROYf9h3o40qNeX8YF286aWLv57D+E7uUrli37YcIR+CEDPNs2rGoyMz39yZ97wTlypDr1p1MHbx3bsHKeFWOTPPx4l6/dM0ol9Gl4moqvqfqaig+Bbxq+OJb1VpmlVtmJ1XmhrRJpA8lUIst/0+xhH2cph8LJNWd7s9UWm++akSByoQWXopRfUo5qFsC0FQ2gRC+yCh2h+5xUVeyMwKImQL/Ssmg5viz+triaaOxuAsXJKWQ+0kWVJIIkEfmsy4ISFsOvlAVy19H4nvk82ki9npsw26ryrG2zfPaGaR7aO4IUkkRHnHTylomlqy94a2s++WStPvKjgOIPx8lcbPvT976XV7/8/G8P1N2JlUsOXjDf2lm56YGIj395gG8/Osxw6DBSUTRCTS0U1CpmbGHom5vnSVzHDqZYc25EluxUcMZsMm7/7EV7649a2jRD5N9Z3JemNzjWzHmZPZY5lXLy18kTuzKnsNiBPr8hywDEsuyWRV4sbcCWNKV1VSnNte9LyMoczFIlkzUczF6QGtKi31QSjAVJIs2AVyVTB9O834sF3UjS7QmiWBAnqQOa0ZRUzhVCMzaYsG7ZPDExByY19ebKo1vWL3/zQw8/+snTTjnhRwXDH40Fz7aTTn8B8eEPfnpiaqT36eu3/M2nrz7cODzdwA8cBoKEWqCphVCrmI6hoe/gewI3nQ0dJ4puL6GHOUlZ3w+yxKLUfCQKSAxwEkVejwi6yLGgL39jEafVBmJ2t1ipWZY9WLbii9R1WqBWKY8GG9zaihoWf6uVUUDs5WHC5plz2Tf9IT0IvcgxQCHble5TCbYoBk6vElkIPzGgjWJJkqTRz8w5TofAdnvCgDutQXYdQeBporiY2+k5isD3qQYVLjzBZ/PyFjuObqC55LIJ4YT/dPEZ63+UEPzRAhzgNz80pITnXaFaQ/GzTzn8qanJXeGB2R7tGZ9aCPWqpFF1qFYcKoFD6At8z3DXTk8yNQu9KAaE6bmZAgpE2utaEyUKpcy451gVBbWZZi0p/4j9jXFsnbmfmogczIaiZBbc9DQkp1P2nBnbabWb7hS82SzO3DlMAWkUicxSFx6DyBSU9OV8lCApm7HAnYXh82NYcDzliXcZZSFt5UACsTT8u9eTdCORtpIorgzZsfUiwdScCdIITA6S7wt6kSROzHl1HUWzLnl4v2Df44Mcv2V951mnjry2sXzDowg//lHj70dGUbLt7hv+jdf+t1fqVnvJ9ueeIR44/+TuS7qd/e5jj9dZPiIYbDg0ax6NmkOjJmnWYLChGB1K8DzF/omEuZb5Mdy0KaPvSXNzzXDXTlcz29K0UmuSqCIymKGn4KDmFy9p3TlAC63bKdGVlH44KS1J6YqTUhJHZmBfZPxg5vxizWBPNIkyN5WY7LzMv8j5dLbXqdbYr/eXsiTtwuk+ipIN1SqGfmV55NkAsCxCXDRJ1Uow1/aYmnWY72Q0JQW5MAMQQl8TJQk798ccnoyJ4oQ4UWakTaqdawylHKgnXHdXi0cntnaqtfW/eMoZa6789u337lm+6oejdT+jAAf44tVX8q8ffoE+44Izt1/zH9MP7dpfe6EXz3jjwx7Dgz4DdYdGFQbqmsFGwuhAj42rZpnsTvPVuyRRR1INBIEn8X1JGJhRKrWqw0hTMtONuf8AzHRlTlHyyJwtafUHSPIK+HKRQ8G1bW4tc5A70vgHObCtoFQemHKyYoSiKWYG7jjRxLEiTnTecFLl1twWyTM9vtDVi0CV5Tf07X9RDJEVJpCDuQzsotOv5yUEXkw17BEGXXbtl+x8zKcXmaY7hlObYw58zfhQxOjwUW56sMeDe3xcYa5KKl24UQxxbICeJIJTT1jV2rRu9Jdf9JJf+5w7cKf6+Ve96scBvR8PwAH+8sOf4yDn8UfPfeSB3bNrHx0b8i6p+e1w+ahmuKkIA2hUEoYaESuWzKM4yr/cAN/ZVWewIqiFgkogqQRmlEq9KhhqaFYvjTntuKPsPjrP/Y8FxMq1csKNubaYbIlHSxsguaNI7kQ6lkPppCB3pDDgTgHuOmVgZ0O78ucp4LQQZlpBml0ZxZm1SzVu/eRXnLIvsNBBzhzbvB20pACzLBZbFlnMe7Q7RYtr302ohl2qlTlu3d7lH66p02kZCpMrJVKkA8lMy75VS+aQ3gy37AiYmfXxU4c1UZrZlmK+pdAIRsZWT4+MrnndL7110xWP3XYNlzz3V35csPvxARzgrm9eyfKTf42zTlx2//Dw0IFNa8cuqHgHq1pNkyifZi1hfLjF8rEjfOG2mI9+YYzRqsdYQ1OvyHy6W70iaNYUw82EscEux62bYfPKI3ztFp+JTgU3bRBkc+FckLAtuBWoyay1I0XOrUsAd6QBdXYvTUlpBmLX0bhukRjmeWbosudqM3xZGos2O6+Yb8d0I2PJk6SQPW1OngeMKPa3dBWyS/D6erk4Uqe0JAV11sbaKeaSFm31FJ6b4HsR1UqXVneeP/x4kwf2DNMMlZFHya4K5srle5jc7WrCmcfOsvtQxC0PmgLh0NMEnmCqE1Gp1TjpxJOOjI0tfdPh6co//ffnH2Hzyb/644Tcj97J7N9e9+u/BEDSO/pp6Xnu1df47737npvHVgwpVo1HjAzOcMeOLp/91iiNIGS4ptIm+4IgkFQCQa2iaVQVzVpEvdrDcRIqfoLUEYlSdJWDn079FWhwRNrj2gBHiaKHiLI474LNogF5QCezmjbnztILcuut08f2sC0Dkof3KY5MpdOdhbAsrFlYhVaucJEkpWBTGuHMF4SlpuSpr/muW4oP6XDbAtxSaqRjDduVppOrljHtnqSnYLYtCD2VUzHXkfiuQycQtDsOU7MhzdoArzxvip37j/Kfj4zQrAiWj8K5pzc499wzJsZXPO8tWkWfXr508McNNeAZAHi2Of4wjz0x9/ennHKp8OTAn84d+vrYSPMA9+xq8f/94yi7DwyxYVQxUIFaaOZzVgNJNdTUKopGNaZejahVuoRBl8cmoBMX2b8mWUiTaAGJRpsE5rR6ReAInTe96ZfXFkQwZTmoIy1HMgO1myWIudrk06QTL3wvwfcShps9/LDNnpuqTEwEjNY1vqfxHZFbflcLtGOBVJjBk1IIlNR5JFOmYXwls0CPKEeRbMVE6LTkr7DY2X1WMFyE+E27tLVLujy4O2G6K6l0svwgswBcV+Cn084q8z4Tk3WOXR3xrl+e5F2XwyM7m2xaPcyZp18yse2kM98K6u+FGHymYPbMARxg5XidqNv+u7ELTo8PH4z+8uEdE0Pv/0zA3gMN1gxrBquaelVSr7rUKi71CtQrmlqYUA1jahUzFKsbtfnMN6tMtCr4viRIK8E1Rq9VaVJ+pmdIYWbDSGVJhn0oX9C/xHLmjBJhc2+dTudVhpJ4BtyBlxAEMdUwZmxolvlohqmO5InZCp6jqSlN4poOq3bVTr4XwoA8ESASoxipFNxa9kUzKXJQShHYnK5kIM1a66XyIGaBJErSi1yaFZdXXjTLdfe0mOw0qHkSP+/3LtJWfALPkwS+S+gH7J8YYM0ovOVVLT5+zTIuuvjZk+s2nfbm2VnxqWaz/kxC7JkFOIAXVNB6/vLxlScdvfPBHRvOPLH5fuZv9TxHUA0kjapLs+bSrEG9pqlVEmqVmFolohZ2GR6a47q7NLfeP4iWVZoe1NwUxBp6adKQK4vItxQaRwlcmfJfKy+lpBlTWHE7VdYpOXIpyF2N52pjtV2F7ytCP6YSxNTCLtWwg+92IOkx0zWKj0ClwLZzCixHOCnyPFSuUmRJVzZVWVhIISjKywqHMu0CnA4k0ECSSOLE9P4G8L2Ec46d41nHT/KV2ys0fIeKJ/Bds0CkiNOF7hJ4DrWKizvrMT03xDHHnhS9PFZ/cMZZp+5UsvqlZtN7puH1zAMcQIiauvueHVdv3fKL/tLhHa0T1smPfO6r9wipe3Kw4TI6KBhsKEJfUUmb7dfCHsMD8+yf6PB3Xx3g8dkBRquS4UAROJpEw2xPMhsLIg2+ENRScyeF6ZCV2Jl4UEraWBC6F2KBI2d4eEpJspur8NJpF4GXEPgRgd/D9yKkkyBUQidWzMcS3xGFZi1Sn6GvE4BQ5kojZQZwQaLSyWQqa3qvy1l+ZEXChTToOgmemw0oiHCkIlGSdhLS7XokShB5LloLBuqKX37eLNv3TnNwapiaJwhS6gWKKImIE5MtODKgUTjKqZ6lZ+Jjf/tVP7f+HyYPH+oNDw4907ACfkIADnDKSZuZmniwt2n5+OV+GN3w2BPtV8bzR95T9yZYv6JLvRoxMxfgOgY8zXqHw9Nt3nN5nWvvHGOw6jFeVTRCRehBnAjmo4QkaqESmJMBsXaRGGvuOeCpwgpmW56rkhUYLBKOz+mJxHIqi9Etfiq7+V6M7xpgOU6MQaEpwm3Fkmqe9y6smaJZIYbRyKXKsvs0SmZBIZHTlCwJzU4Vzh3MTA+3rHfgG5/FdbvEsWC+7TE5WyGOTc/3OPVjnnXyFG//1UO8/VMBR+br1ANNNYFOT/PEtKY2E6FVwvo1y2mONN/Rc1Z9dra3bN+tdx7unX36lmcaTvn2EwNwgMGxrQDtT//T53a0ktXvPe+UIb/uVd5W9293rr7JoxlW2bxaE/oRtUqLG+/XXHfvMHW3wrKaYqiiaFQF9YpksCF5+foWW9cf5I6HIj561QgH5obwpIcvFUEpuFJs/ZU9eeKVLcnlspwVNEktuD0+0XOVGeeSto9OxwaDUnQVdBKBl6T9FmNBlDcO1SgpzAxJRU5NskBKZskXNP7pX6xWByrPSQg847NMt1p86DNVbnlghONXNDh2ZZWhJjSqMVFsqnd8T3HhCVOcccwkX74lpB1JhNSsWeZSrc9ww70BJ45uSYLa0j8+88K1773jPw4mZ5yy8pmG0ILtJwrg2fZLv/AKbvzG1ckFF7/ynUm8373muuHfOzz9cDBS7+K7HerVHhMzPa66uUm33WDtqGK4pmhWBAN1yWDDZfmYy/plio3Lmpx97CEcOcH7/sVlrjdI1RFUlLGQC506UVAEK3tQWlmCdhu1MshVqqKofOKFm41tcVSRRKITekrTTQRBkrbJcAyYHWX8gzh9bKy46R6ldRH1NKVj2QIQVrhfWPkoxSBe100Ig4goafOhfwv5i8+vYEm9SkNrqg70IidPksoyxVctTbjs3BZ3PNhitt2g01VoLTl581j79NPW7dt6wis+d9zGsXd+9sp/45WX/dwzDZtFt59IgANccPGL0foQ//lg822nnvJSuXr5o2c//ugXZbPC2Z5zwL1tu+CW7UOsGoGxhqKRptw2qi4DdY9mDUAwPR8w2KjxknOnuPqWWW55uE4n8XJwW5H8Ilkqi2oKaRKtZB//FnakMOPemRVPp8vl1MQAXIiEIgk9JlGKtnIJE40vBW6scaVxfBNJGvIWSAVumg+vsgzEjLKkiWVZmrAdEc3SbXOK4iT4Xo/7dsEXbh7ElxWGqxqhNbPzMVOhxHEkUjgo7RMn5u9P3Rhz4vo5brzb59j6SKyc6m3rtz77/iOTD/9WtVrROx+bYsPKwWcaLk+6/cQCHECIfILWWx+89wusWHN6w5dH/7YRJK+K1F4Zapd1IzBQd9McCaiGJtJZC2M81zTEnmt5bFolOevYFnfv6BIlHnGacptX0oii0KKc912oJqXAiSjC4/mwW9dQAS+9N4O4sgaUGUUxAEcndJVLOxHpiA5wk1RTV5pYCRwFrp3jnvLwJO0Qm6TJW9kQVZOzbUrMsgzDTAv33AQpI277jsdDe+oMDkscFFECrY5ivq2oBC6+Z9o+zLVc2h2XDSu6jDbhpOPXqovP2Xjl6iW137j/oYnZ//GaXwJ+6ZmGyHfdfqIBbm9bt72E3vxDs9I57n8Sjz+yYtmtx7/8Yv9lXm83SM2Bw6C1xPcE1VCb0YZBjOOYlgbdjsc5x/X45+u7TLZreX5FFhQpZvyIPCTv5kUOdgZf/9Rka8pznryU0pN0fKIjY0Q2uCmlKKiIOHFpS4cw0XiJ6X8eJ8LUNzop57Y4dv5YaZJ03nuSCDMpOBHEjs6z+YrSNaOlOzJhcjbhpgdqCN9HChMj6PQ07a6i3Uno9hwE4MiERw8kRJGmMbiNk7aKq56z8vz7T9iy4YNz8/OzZ25b+0zD4WlvPzUAB/BrWwAO79699+3bTtq2Zun4IxyeWPqyO//zZu7Z1WK42mSFJ6hXFc16xGCjw2C9CwJanZDzTujSrHU5NK/S/ohlq+w4Atc1yVTFraAmdjFDBnQ7c884mUk6IzTGdyM8L8JzI2QQoz0HYg29BMIeWrh0YklLGGfTc8BLNImTcm1la9xGIy8KrU2Wn9kXgYzNfiausOZjkh+j4yRMTWuuv6+BH3igYaJlSvBCzwTPokRTCWLqtUMIv8ratefRWHLMVa+7ZMubZmbn9oyNjT3TEPiet58qgGfb2rWrSbpH9ywd3/rmhx4OLx8cX/LGyWjXBUf27aEWdBluJowPzdOsH+XQDAjVpFnzCYMuy4cjHp0wv7ydbGVySQSeK/FcJ803TxtxkdpCS6WwCwgcUQRSXDfB82J8L8L3TOqp9LrsfUyy74DHqpURT8x3OHhYEylB4gvmZJCPzvMc8BUkWTs2+oI46QJTKq1wyhLfU4oVx2ktpdWZKlsYj0+6OE6FUV8wXIuJRYeJGdOnPfAUtUqHYHOd4084hdXHHndj4I18cHTJ5vsOTkR71qx6+mNDfpK2n0qAAzjBMMAjWutHgPvvfOiby150/kkf85L7N1bUfziaOa682eHWe5Zw0Qkhp25ts3HVLK96dpd7dhZN9Yubsd4mBC0JffA9A+IkSWs+ddpFNeuxnZd/FVq47yb4bkzgd6kEbY7Oxfz9NXWuuSFkIFC8/rUzvMmf5ZobKnziKwMcntNEQjIvPSqxaSGdZBFLbG1b5AEnSJ3QRCGEINFG4nGEyfSLVQFy00LNlJ5d8fUqSc9jxbjm1E0u55+i+cZ3prj+9gH2TlY4/7yTkhNP3frIsiVHXnfM+HMeB3Ys1vLip2n7qQV4tqU/wI7JyekdWiXP1T1W+MGJV3752q81v3zTE7Uqguk5j/l2xPSc5N9vqiOEQ+hqKypZVAoFnqQaQCU0VSsamG8Lup0ihO45YJpSFrKhK1VKTyICv4vnt/jHayUf/vcxHtlXZ3bG4fTNM4zXBKdtgm0re7z84kN8+KoO/3qdpCMazDuSMG29YErayHuZyJRCea6hFe2OotVJ0EAQS7R2kMLBcwWhX1jwRAm6sUuifF58zhzX3qWo+Zpm1SN0Grz2BZITNq2d33TMC2a0Si5bunztfpxj9vy0AzvbfuoBnm1DQwNorfbAmft0Mn3chk3OWe94Ex/fvWtnHM3vHnbdfY3ZtmLvoSpDgaYeGCdRp9PJTMGsQxgIKqGmWVMM1GJcN+GhPS5HpyXV0IxY8V3yrk9ZODyTB30vollrc9VNgrd/YgmPzw3g+iFeHUSo6LW6TE95RLFi6+o27/n1GebbDlfe6NNyq9RdQaxNqkHmJ2YdBTxXUgkl1RAejyMOTia4EppVY+cdKfA8h14s8sJqpSStto8rKywb7tCsdkFWGRwamx1fu+nomg3r3NG1+rV+bd2tK8ab090IFfo/G+CGnyGAAwghAdTefY9Prli2+quVyenNr/ufV3a/+cX3/b6ev+E1n/+6iEZq4TGjIzqcmpkzHZk0KO3i+w6VUFILoRpqmrWYFUvmmGrP8a3tAwRJwKolGt9zi8BK/n+N1uy7EdWww8R0j3+9YZgj80M0qyEjFU3F0SxtDnDwUJWGH+N7Pbo9n4H6HK+6aI4b75vmcMuj7bk0EovrU6g7riuohoI1SyPWrJjirt0unanQqCSOSIftmg4FEo2UPbo96HYlre5Sli5pdH79ZcH2ibkzvVe+4vTLb//6e/7v5i3vCEbqzY5WXfWzYrXt7WcK4Nm2etUyMMmDrcOH9oLw3h+1nffXBs51Xvfzgx9RcWvz7fc+ct7KwSecQ5OT7NoTUA0SxocEjuPgOZp6JaZebXHz9g4P7xtg85iiF+u8oDlTOUAYiuIkBF6E53Z4/6dqXHP7CGElZLyqGK5qRuqwfMDnwESNwOsy3GyTpI1+Lj11ij/8b0f5/Y/XmI/q9IIigcrurCsl+J4m8BTrV3Y5bkObr98WMNSR1CuaVidhvqMQQrJ+OWx/LKbbG+LSc4cSJzz2pnoj3HHxGZNv+Nw3nSQMQ8689F16bOma1jP9e/0ot59JgNvb6JLVUPhq8a7HDv+GkP7QOWef8ifzT3zVv+3eBxLprjzl+E3iVKn3sn1ni/GhAM+JiZIO9z7q0e34+K5OqYxxStFFoxshTGHD0FCbe3cqrr1zgFhUWRZqBkNNs6JpVo3z2ukKpmc9vKyKXWgqQcSlp85y+rXT3LGjQit00GnrNtcx6boqMRq31hAlgorvc+Laaa6/o0e75yPRDDUVE3MB9eZyqg1919ED3t3S3eys2Xpxb3h48H9Db1KIpQC85/ef6V/mx7P9zAO8f1u/chRgEvhNgFtvuZkTTxAXNCqd5zz02LLLVqK2rB5NcLifvRPz3LNdMFztEcfgCI96BQbqCdNzgigR1CpmVo3vdbn7kYj/+9k6uw41GAwlg6GmHmgqaa8XKY3j140Era6L2/KRQlMJe6wabfHmVx/hvZ8J2DsxQqQFngv1qoMjYWZeIWVCtyfpdGP2H/I4aT0cu95Bt2ucc9ZWjt/i04GH5mbHrxwcDb/23CX6xnPPPZ93/RcB82LbfzmA929nnX0uwI337jh648YtfOv0k+MNjp5UO+/fp4Resu7VL1z5lqNP7CfwXWruJCPNI3jhHFf9R5XjV1YYaUIt7LHz8S7v/NQwu5/w8TxFzdOM1E2xdLsHpDw6SasuAk8xNeuTJIKBept27HDiFskf/8Yk7/ikz/ThOs4YjA4K1i6f5IpvCKbnApYvXcKq1asQRCxfPcb5px157wPfmXv0/PPOkatXDcp6Q+0EvirED7+R5U/j9l8e4Nm2bfMwwFez54eemCAIgsFNmx+/5ZY7fKJERsdtPP53RgeiSxNaHJUuM/vvx/NnqdccHj1SAb2U11zcY643wTfvchhu+ByzVnNwco6j03VqYZej04JlIwn3721zaKLK1tWSWkVzxY1VpF7Oc8/osnIU5qZ9gkCybOkIF118Ds64j5u4LBlyr126ZP4vW23tyeqJvP41y26Mou7U0PDwM30KfyK3/wfwJ9mWjI8BTAFfADh69CDAdlfG41rH6kJPccO1u3HdFo7nUgl9ar6IXvOyc9413Xr8RbV6EK1dErJljWJido6H99Y5fm3CvkOC1esUrcdiBnVAc9TFqc+S+K5XDca/ODN347ukUJ7nuTiuQ7VaY2T8JM6uBDhayErgPIHm0WNX/j8L/XS2nz1d6BncDu//FkKI8YnDuwa+dqujV44ErF2RcGSuw87HKmxdFbPnCcGWVYodBzTT0y5rl7ksG2tz8wOBWDG6Ylqjn7jsJec904fyM7P9/+WTYvuEdf4NAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDIwOjA1OjEyKzAwOjAwH5I7xwAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QyMDowNToxMiswMDowMG7Pg3sAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 51730783
    {'hecke_orbit_code': 36028797086075037, 'n': 1, 'trace_an': 1}
  • id: 51730784
    {'hecke_orbit_code': 36028797086075037, 'n': 2, 'trace_an': -1}
  • id: 51730785
    {'hecke_orbit_code': 36028797086075037, 'n': 3, 'trace_an': 0}
  • id: 51730786
    {'hecke_orbit_code': 36028797086075037, 'n': 4, 'trace_an': -7}
  • id: 51730787
    {'hecke_orbit_code': 36028797086075037, 'n': 5, 'trace_an': -5}
  • id: 51730788
    {'hecke_orbit_code': 36028797086075037, 'n': 6, 'trace_an': 0}
  • id: 51730789
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  • id: 51730795
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  • id: 51730796
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  • id: 51730798
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  • id: 51730799
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  • id: 51730800
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  • id: 51730801
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  • id: 51730802
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  • id: 51730804
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  • id: 51730806
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  • id: 51730807
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  • id: 51730808
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  • id: 51730809
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  • id: 51730810
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  • id: 51730811
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  • id: 51730812
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  • id: 51730813
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  • id: 51730814
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  • id: 51730815
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  • id: 51730816
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  • id: 51730817
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  • id: 51730818
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  • id: 51730820
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  • id: 51730821
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  • id: 51730822
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  • id: 51730823
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  • id: 51730824
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  • id: 51730825
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  • id: 51730826
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  • id: 51730828
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  • id: 51730835
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  • id: 51730837
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  • id: 51730844
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  • id: 51730865
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  • id: 51730871
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  • id: 51730880
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  • id: 51730883
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  • id: 51730884
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  • id: 51730885
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  • id: 51730886
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  • id: 51730887
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  • id: 51730888
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  • id: 51730889
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  • id: 51730890
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  • id: 51730891
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  • id: 51730892
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  • id: 51730893
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  • id: 51730894
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  • id: 51730895
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  • id: 51730896
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  • id: 51730897
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  • id: 51730898
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  • id: 51730899
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  • id: 51730900
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  • id: 51730901
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  • id: 51730902
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  • id: 51730903
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  • id: 51730904
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  • id: 51730905
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  • id: 51730906
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  • id: 51730907
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  • id: 51730908
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  • id: 51730909
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  • id: 51730910
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  • id: 51730911
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  • id: 51730912
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  • id: 51730913
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  • id: 51730916
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  • id: 51730917
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  • id: 51730918
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  • id: 51730919
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  • id: 51730920
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  • id: 51730921
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  • id: 51730922
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  • id: 51730923
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  • id: 51730924
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  • id: 51730925
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  • id: 51730926
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  • id: 51730927
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  • id: 51730928
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  • id: 51730929
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  • id: 51730930
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  • id: 51730931
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  • id: 51730932
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  • id: 51730933
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  • id: 51730935
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  • id: 51730936
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  • id: 51730937
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  • id: 51730938
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  • id: 51730939
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  • id: 51730940
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  • id: 51730941
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  • id: 51730942
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  • id: 51730943
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  • id: 51730944
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  • id: 51730945
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  • id: 51730946
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  • id: 51730947
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  • id: 51730949
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  • id: 51730987
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  • id: 51730988
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  • id: 51730989
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  • id: 51730990
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  • id: 51730991
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  • id: 51730992
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  • id: 51730993
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  • id: 51730994
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  • id: 51730995
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  • id: 51730996
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  • id: 51730997
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  • id: 51730998
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  • id: 51730999
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  • id: 51731000
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  • id: 51731001
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  • id: 51731002
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  • id: 51731003
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  • id: 51731004
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  • id: 51731005
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  • id: 51731006
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  • id: 51731007
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  • id: 51731008
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  • id: 51731009
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  • id: 51731010
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  • id: 51731011
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  • id: 51731012
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  • id: 51731013
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  • id: 51731014
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  • id: 51731015
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  • id: 51731016
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  • id: 51731017
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  • id: 51731018
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  • id: 51731019
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  • id: 51731020
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  • id: 51731021
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  • id: 51731022
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  • id: 51731023
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  • id: 51731024
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  • id: 51731025
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  • id: 51731026
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  • id: 51731027
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  • id: 51731028
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  • id: 51731029
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  • id: 51731030
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  • id: 51731031
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  • id: 51731032
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  • id: 51731033
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  • id: 51731034
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  • id: 51731035
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  • id: 51731036
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  • id: 51731037
    {'hecke_orbit_code': 36028797086075037, 'n': 977, 'trace_an': 20734}
  • id: 51731038
    {'hecke_orbit_code': 36028797086075037, 'n': 983, 'trace_an': -61168}
  • id: 51731039
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  • id: 51731040
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