Embedded newform data - 36.15.d.c.19.6

Formats: - HTML - YAML - JSON - 2024-06-17T01:48:52.535996

• 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': 8100, 'analytic_conductor': 44.75842853468615, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 4, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [36, 2, [19, 29], [1, 2]], 'cm_discs': [], 'conrey_index': 19, 'dim': 6, 'field_disc': -5321827703026317858375, 'field_disc_factorization': [[-1, 1], [3, 1], [5, 3], [7, 3], [11, 1], [13, 1], [17009819, 2]], 'field_poly': [982333440, 21572352, 325632, -1824, 88, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [255824948369000, -10132896340, 4030, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007405664829476, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 86973087744, 'hecke_ring_index_factorization': [[2, 30], [3, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '36.15.d.c', 'level': 36, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '4.15.b.a', 'prim_orbit_index': 2, 'qexp_display': 'q+(15-\\beta _{1})q^{2}+(-237-2^{4}\\beta _{1}-\\beta _{4}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '14.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '36.15.d', 'trace_display': [92, 0, -8060, 0], 'trace_hash': 2052212200540909787, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.008', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.396', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '148.952', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5906.162', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.504', 'prec': 17}, 'traces': [6, 92, 0, -1392, -8060, 0, 0, -446272, 0, 5796840, 0, 0, -80775396, -175232064, 0, -353013504, 120131764, 0, 0, 5047343200, 0, 9916985760, 0, 0, 3942973410, -39549467048, 0, -65094731520, 8035796644, 0, 0, 85711465472, 0, 98089165512, 0, 0, 31334118396, 165268841760, 0, 435607171200, -83362750892, 0, 0, -915657452160, 0, -1712365889856, 0, 0, -551978693658, 1639579094580, 0, 1057159118496, -76712275004, 0, 0, 560223046656, 0, 4483777382184, 0, 0, 6210000787932, -10375644284160, 0, -14398852657152, 7189912943720, 0, 0, 18507298307296, 0, 12679529923200, 0, 0, -29882649313236, 1536652566808, 0, 21457134000000, -37339673521920, 0, 0, -57843429624320, 0, -71900577251064, 0, 0, 151199882653560, 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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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0.02010076058692539, -0.3487480102623343, -0.15309951195733817, -0.4376212937131107, 0.021498368302377266, -0.20314565034459747, 0.1065317101474195, -0.29232674633969674, -0.33199187404198305, -0.4034183159715402, 0.07550703730065432, -0.2138845111871663, 0.028687629025891857, -0.1658707878594026, 0.07402571472648178, 0.01948623628577089, -0.31311611952761026, 0.045934716070365374, 0.02393332618988715, -0.12679770800075268, -0.16905468210076138, -0.19891106784246398, -0.3344625182119528, -0.33140101216207196, -0.16552797275478362, -0.12659595190723344, 0.0790862220922085, -0.3848934957727085, -0.18006432954736604, -0.3425695836172705, -0.2531279004697381, 0.013857906140603317, -0.28883793306248967, -0.4995749827162393, 0.09733976896428925, -0.22038283220822846, -0.3406135849244393, -0.4668338950193276, -0.45333684680547265, -0.0835814196523065, -0.22339008807041016, 0.05348493749462637, -0.49746248943729426, -0.45460860777347833, 0.12674578829324754, -0.28344994327080286, 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0.1910737284274723, 0.058705348155323384, -0.31378405730501735, 0.05976156707716601, -0.22122514869244683, -0.14468388588376155, -0.4721983828184869, -0.35704198883079363, -0.11992932605978979, -0.26867823144935654, -0.43674027048247444, -0.4349526663431915, 0.09394044162340763, 0.020050873980718656, 0.004752320116661223, -0.18495567841755, -0.27576550929844745, -0.19699123111947373, 0.1261023731372174, -0.4058958763159393, 0.032271412311252044, -0.4347202707290617, -0.4405300132539941, -0.3533648609542972, -0.3565901158567897, -0.26432016796246693], 'char_orbit_index': 4, 'conrey_index': 19, 'dual_conrey_index': 19, 'dual_embedding_index': 5, 'dual_embedding_m': 5, 'embedding_index': 6, 'embedding_m': 6, 'embedding_root_imag': 14.398276838186737, 'embedding_root_real': -24.5777820008995, 'hecke_orbit': 3, 'hecke_orbit_code': 9007405664829476, 'label': '36.15.d.c.19.6', 'level': 36, 'weight': 15}
• mf_newspaces •

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

  
  {'Nk2': 8100, 'analytic_conductor': 44.75842853468615, 'char_conductor': 4, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [36, 2, [19, 29], [1, 2]], 'conrey_index': 19, 'cusp_dim': 80, 'dim': 34, 'eis_dim': 8, 'eis_new_dim': 2, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 206410088484, 'hecke_orbit_dims': [1, 1, 6, 12, 14], 'label': '36.15.d', 'level': 36, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 88, 'mf_new_dim': 36, 'num_forms': 5, 'prim_orbit_index': 2, 'relative_dim': 34, 'sturm_bound': 90, 'trace_bound': 2, 'trace_display': [-90, 0, 8064, 0], 'traces': [34, -90, 0, -14444, 8064, 0, 0, -4799088, 0, -18628708, 0, 0, 22457900, 25523928, 0, -500224496, 411615144, 0, 0, -269382888, 0, -3461965992, 0, 0, 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3914196303653116208640, 0, 0, -216687884793826548384, 0, 282512279186882338956, 0, 0, -1825467076271013241708, 451680090414998485104, 0, 491264193840365105280, -3668388670590459097752, 0, 0, -1007474505050950332768, 0, -212946511202655134256, 0, 0, 2529948694842097341328, 840953372752065325356, 0, 327873248458919643456, 4238891487345232518048, 0, 0, -563009769127878017760, 0, -2050727209106008111488, 0, 0, -1964891624540064501868, 879881098969095679656, 0, 737953839176630046336, -4665932282898816104808, 0, 0, -1047214458502697266416, 0, -1102912815038340885192, 0, 0, 3279736344446359566048, 2034452788916254467912, 0, 646971010810501175280, 4873702462572858911424, 0, 0, -2444683380287947264512, 0, 1380306009569222429540, 0, 0, -2666044520992515328064, 2033982164961803604240, 0, 2209362736693016684000, -6111160374878478215712, 0, 0, -2422520919846622690992, 0, -2022571237496357183904, 0, 0, 3810918277605016786464, 2285851328342189380620, 0, 1063757298461489679176, 6744677777187657261408, 0, 0, -2644615614540469248000, 0, -364346951046702340228, 0, 0, -5260812648919127964372, 3526563060658931292216, 0, 2399468494402963711040, -7130441799857071017144, 0, 0, -3348292173813656590104, 0, -2732382690933955389048, 0, 0, 2950358561317810573700, 4929534276122696895072, 0, 3699776192496948008640, 7448862976118114022144, 0, 0, -4283713544794344912960, 0, -2845207487224448605728, 0, 0, -4305578462934088025912, 4974652235030673327912, 0, 3232991199236139581184, -7664569018638611431320, 0, 0, -4401767931417020801664, 0, -2363444380021670484624, 0, 0, 3988162569560160516610, 5452247465298914614776, 0, 2531297769297051665480, 7338606006944128970880, 0, 0, -5044948628085434772720, 0, -2831927046137362922312, 0, 0, -4835690403547953670560, 3690368397018791402328, 0, -3219011198325614672224, -8416443577769282985912, 0, 0, -4948476925616898819048, 0, -4630260174595665433272, 0, 0, 5073880894724267748400, 3459411378786935986056, 0, 2739224612673427536864, 9125667597393357217920, 0, 0, -4728638600695105907328, 0, -559814211532651025664, 0, 0, -3161193610527858068236, 2927273774043790609992, 0, 6361656042046157634880], 'weight': 15, 'weight_parity': -1}
• mf_twists_cc •

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

  
  
  • id: 40793687
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9007405664829476, 'source_is_minimal': False, 'source_label': '36.15.d.c.19.6', 'source_level': 36, 'target_conrey_index': 19, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9007405664829476, 'target_is_minimal': False, 'target_label': '36.15.d.c.19.6', 'target_level': 36, 'twist_class_label': '4.15.b.a.3.1', 'twist_class_level': 4, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 15}
  • id: 40793688
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9007405664829476, 'source_is_minimal': False, 'source_label': '36.15.d.c.19.6', 'source_level': 36, 'target_conrey_index': 3, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68971134980, 'target_is_minimal': True, 'target_label': '4.15.b.a.3.1', 'target_level': 4, 'twist_class_label': '4.15.b.a.3.1', 'twist_class_level': 4, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 15}
  • id: 40793689
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9007405664829476, 'source_is_minimal': False, 'source_label': '36.15.d.c.19.6', 'source_level': 36, 'target_conrey_index': 19, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9007405664829476, 'target_is_minimal': False, 'target_label': '36.15.d.c.19.5', 'target_level': 36, 'twist_class_label': '4.15.b.a.3.1', 'twist_class_level': 4, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 15}
  • id: 40793690
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9007405664829476, 'source_is_minimal': False, 'source_label': '36.15.d.c.19.6', 'source_level': 36, 'target_conrey_index': 3, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68971134980, 'target_is_minimal': True, 'target_label': '4.15.b.a.3.2', 'target_level': 4, 'twist_class_label': '4.15.b.a.3.1', 'twist_class_level': 4, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 15}
  • id: 40793691
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9007405664829476, 'source_is_minimal': False, 'source_label': '36.15.d.c.19.6', 'source_level': 36, 'target_conrey_index': 63, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 13510936572723264, 'target_is_minimal': False, 'target_label': '64.15.c.d.63.6', 'target_level': 64, 'twist_class_label': '4.15.b.a.3.1', 'twist_class_level': 4, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 15}
  • id: 40793692
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9007405664829476, 'source_is_minimal': False, 'source_label': '36.15.d.c.19.6', 'source_level': 36, 'target_conrey_index': 63, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936572723264, 'target_is_minimal': False, 'target_label': '64.15.c.d.63.1', 'target_level': 64, 'twist_class_label': '4.15.b.a.3.1', 'twist_class_level': 4, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 15}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 130000
    {'charpoly_factorization': [[[4398046511104, -24696061952, 80740352, -45056, 4928, -92, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 2}
  • id: 130001
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 9007405664829476, 'p': 3}
  • id: 130002
    {'charpoly_factorization': [[[255824948369000, -10132896340, 4030, 1], 2]], 'hecke_orbit_code': 9007405664829476, 'p': 5}
  • id: 130003
    {'charpoly_factorization': [[[362071429307328594332450379792384000, 0, 1631644549547584197427200, 0, 2310658565376, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 7}
  • id: 130004
    {'charpoly_factorization': [[[11765771393371619049983984881342810521600000, 0, 527069266030643702955224739840, 0, 1637312586888000, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 11}
  • id: 130005
    {'charpoly_factorization': [[[-420901869541177579903400, -8145530499153684, 40387698, 1], 2]], 'hecke_orbit_code': 9007405664829476, 'p': 13}
  • id: 130006
    {'charpoly_factorization': [[[-10471553094961943562062200, -169797158875436404, -60065882, 1], 2]], 'hecke_orbit_code': 9007405664829476, 'p': 17}
  • id: 130007
    {'charpoly_factorization': [[[119090305777383007763993934223788534816593510400000, 0, 48432153453785786648343186647101440, 0, 569637574525834560, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 19}
  • id: 130008
    {'charpoly_factorization': [[[33216929501402223453718391842528337924061462319375319040, 0, 68706811888876411477015734137559121920, 0, 35572745694403312896, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 23}
  • id: 130009
    {'charpoly_factorization': [[[362173028514944129183775943208, -96167830941943965844, -4017898322, 1], 2]], 'hecke_orbit_code': 9007405664829476, 'p': 29}
  • id: 130010
    {'charpoly_factorization': [[[1327950205239414446931237326127532014317091271303652966400000, 0, 1807664044237881939501156201376597766307840, 0, 2715436845511892520960, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 31}
  • id: 130011
    {'charpoly_factorization': [[[-160884962644494040046479472023400, -6495971306790997904724, -15667059198, 1], 2]], 'hecke_orbit_code': 9007405664829476, 'p': 37}
  • id: 130012
    {'charpoly_factorization': [[[225080246135819911846115942594888, -27655514740985613638068, 41681375446, 1], 2]], 'hecke_orbit_code': 9007405664829476, 'p': 41}
  • id: 130013
    {'charpoly_factorization': [[[65918471845017021457137760967067351307583047149612458513757732864000, 0, 6855579357275733670253808050303958879252787200, 0, 160305966592490561169216, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 43}
  • id: 130014
    {'charpoly_factorization': [[[7246171633422558058293302319822605251606624299508828813767576114954240, 0, 127238467932421514775636112570695177234772131840, 0, 650268562175597154948096, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 47}
  • id: 130015
    {'charpoly_factorization': [[[404908856110231741342413914149428200, -1065706713461451855283924, 38356137502, 1], 2]], 'hecke_orbit_code': 9007405664829476, 'p': 53}
  • id: 130016
    {'charpoly_factorization': [[[85732951390354478034830988338678936241024539311047728444584994638233600000, 0, 124631784621052146009612023041147146982714760048640, 0, 22091727254150799040630080, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 59}
  • id: 130017
    {'charpoly_factorization': [[[2440910071498736606329360725434838232, -975824354307745553488788, -3105000393966, 1], 2]], 'hecke_orbit_code': 9007405664829476, 'p': 61}
  • id: 130018
    {'charpoly_factorization': [[[62115413884681747596932540251597426686217567319527575583621669339625143664640, 0, 4811749498415418253267486032321937432679051450265600, 0, 121251633443189779179014976, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 67}
  • id: 130019
    {'charpoly_factorization': [[[50188893447430802427408720271958923974914557086848428372185197995622400000, 0, 68218830891107455057981000092502530078402262794240, 0, 16697307982862857302570240, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 71}
  • id: 130020
    {'charpoly_factorization': [[[-3451487017603941399984942865475798600, 54275104247988931207473996, 14941324656618, 1], 2]], 'hecke_orbit_code': 9007405664829476, 'p': 73}
  • id: 130021
    {'charpoly_factorization': [[[3062193928754508554988478340471685064878748813027834927252626549135271526400000, 0, 66554539725042045635437622401355758149439967267389440, 0, 462005749869061167835714560, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 79}
  • id: 130022
    {'charpoly_factorization': [[[1035117596834575080495169548796430763518423679891030086616784367220196044963840, 0, 55021224201063444430844595605970642051844630743429120, 0, 661553860288545302864506176, 0, 1], 1]], 'hecke_orbit_code': 9007405664829476, 'p': 83}
  • id: 130023
    {'charpoly_factorization': [[[122212230552088631116333189294027348420808, -204983989847904184637471284, -90483007365962, 1], 2]], 'hecke_orbit_code': 9007405664829476, 'p': 89}
  • id: 130024
    {'charpoly_factorization': [[[-1237034644623668223875050447793849500008200, -4063563043535759958101012724, 172729536149562, 1], 2]], 'hecke_orbit_code': 9007405664829476, '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': 4, 'hecke_orbit': 3, 'label': '36.15.d.c', 'level': 36, 'portrait': 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wuKuaWU+ZWYK0uWs0uWW48s8Us/tsLOiRKrjQpL9TJTc0UuzylW1lKm5hKW211uP5xSKvrcfHjE3Hrj9k/WquWfCaO4Obb9b363IfFf9PpLDfCZuRabN65hrfcrT78wddeffvqbUsn2XStL8/rQjpgzs3D7kS637q1w6lKN6QXF/ErCcj1muWGYbwimVi0bJ9f45Y+scOu+IlcXxphdLDG3rJlfscwvJ0wvpSy2EmqjAXdf3+b2g+DKAp7yWFj1s+9dFXRCSBKD7xpKfspINcEAl+cTmm3YscGhVAixVoBwaXcN2zeGrKxpsJkUWWtDmIDFstqI2DLp0OoqhLIIE1LxHbZvCljrCC7PalKjGatIyr7AcyBJBJ1QMr8qmVuxLNQTPC8AJ+GOw23uuk4wUSmwUq9wdcFjdhkWlhPmVxNmV+HCiuWWw8v8fz+yyuaRCjOLIyyuFlisuyyuKuaXU2aXY05eTbnxcIM7DgnOXi6yd2NAqTSeTI4Wn7r+jd9nrL//SeAXdm+pfbdh8ue+/tIGmcee/RJbNpU5P7X6r9fmHvgHx5476m2pdWi2FKJS5oVTEa9Op+zb1WR8pMnkaIEo9kmtRgiQKkZrg6NgamWUX/pjyb/+yQVu3hVTLoxSKpQpFz3KRYdaRbGwopivax562uerTybs29bh4O6E1XqXQ9tCfvidhjhRCCxffsZnseFTSEOm5hTtdpkb9qYsNhNOnXHYv01ybhbuOACNFkRG4+mI8RKcnSlQLMR4KqFaFqy14LZDLS5Me+zfYbg0G3LiQvbfc7YFXFiwVMshq82IrzxUxApFmqbcd1OHO2+2zK853LwnYM9mhySu0OkWOHXRZ35ZsFRPWawnLKwarqwKFtoRN+1f4Rd/pM1keZSp2SpLqwWWGw5LdclS3bC8FrO0ZlhsGkYqIfdcpxkrekzNFFlY7epXLgT3PnvuyyTO5vDDt17wf+ejDxgpkuinPvJ9323IvO7rLyXAn3jk82g9qR5/6OP/4k8+/Z//cdy+qHyRYEjYt13SaivaXRc5E+M4hkqxw2gloBsqktQBNFIKtIpxVIqvDVfXqvyj33K587pVfujeZXZtDhitVhivFVhaddk45rCtoVhpaOotQ2PV56E5SydIOHnO5fkTBhB4jmV60UFIDxsU2bvZsnmyw0I9ZHGlzN1HLMVCnVZ7lOVmShQVGBsxtLsO2ycCVto+E6MQhorJmiROuyysFri8GLBYL3HT/oS51TZfe9Zly1iF3Ztg+0aN2uqydRJcxyAE7NiQBbOtrke7M8Klqw6rTcXqGqw0DKuNlOVGynwDVoKU7Vva/N37lrnzoMZ3xrg4U2G57rPc0Kw0BKsNw8paRL2ZstIWrIaGOE4xaYHlVc3FGUMrgA0bDPWlOuXi3JtPzW66gm38xnUHDv/yJz71xfTDH/rLB/K/VAB/8LETaMcvrNSvbl9YOv6hUxeu/oupqWmascudh2NcJdm7rYNNLeWi4uJqiBAhvpdSLQV0Q01qBAiNkgqtBI5OcHWC71oWGj5ff2YTX3+2zfvvafDuNy6ye6vPlski9YbPWtul0VLU24pWRxCEliixpCkoafEcKHiW63ZaJkdjtNPhwlzE1571MMko77wtQjtrvHiqxu4thq89B/cckcwuh/ha8fxpwR2HGySxw2glYWWlyN03J3ztaZ9DOwq8cK7Lo8eKvOONikR0efVCl0de8tHSZcOIz0hJUPAEriuor0JiIIotQQStjmWtndDqGNY6hpW2pZum7Nja4Ydvb/D+uyIwZVbWqkwtZqy92tTUG1Bvpaw1Y1abKastqHcFndgiZcjlRc1Tx2MuzVpSAa4Hju5y45bYm5me8spV8y9OnGpFb793/6esvXAlaXe7TvnIdxtK/ddfGoC/eOw027dsdJ89dvLHL1+58BvL88eFSToEkWWtDp9/IuH77mlR8AN8V7NhwtC1HSBASkmt0iZKFMYKhLBo5eBqies6eK7E9xJKvmG0DYutMp95pMi3jnZ42xta3HFwhR0bFDtqDs2WzwFHAoookRgjMBY6ASAMI+WAczOWRhjx4JMlwk6VvVtc7ry+Q2zWePRojZv2ac7Nt9kyWmFyrMMrlwpsGLWcuqz5u9/f5NSUYsOo5uSllNmFCjs2NTl/dZQ332B57NUmX36yyB2Hq9x7fcAbD7X55osh7UTwyglNpajRAjpdibGC1FjiBJAG7RoabUupHLN/f8hdhzq87ZaEsZLPwuoYKw2fesOj3tLUm4JG27LWSmm2EtbaKfW2ZakjWeyAtBFxGvLFZwWPnW3jKInrJuhiyAfuSoijMkqmnJ6ao1Ja/eXpafkvC577d2oT1//h6uLZaHRy/3cbUsBfkiBzpRHLerPz3v/00S/u3b/R/NoTzz7hVKuWOw5JLs/4PP0KTC2lTDdibj3coFZMUKTMLIPWCb/wkQa37dc0miMsrlZYa/mstTzWWpq1tqLRhlbb0uwkNNsp7a6h0bEstQVLbYjTkBv2ddk4mtLuWN51e8jOjYYklWhpiWJ49GWfK4s+m0YSjl/wwRQ5uFVx8wGD53d48VyHpeUS1+0sUanVefoVh1v3+ax01qjXK2zcaHnulOJH3tLm+VOarZMOy+0G9dVRbj7U4enjKaOFGtftbbPYaPDcyRoFXeINByz7twcg27x8STA5GrOwFPPYyw5BrJASUmPZuSnibbdHtNqKzSOGm/dBFBVZbRRZbXistR2aHUWjLWm2odlJabZTmu2EZsey1oHljmC6KWh1u9x7aIF/8pFVtFJcXfSwKGoFwW0HNfNL41yer/DkyzC1EPCGAyHVAhy67s3xdXuDf7Rpz4fOI8tfEcIz321sfdcZfH6pQ9jt/vjlc8//+9Nnz4w255apFQucnkoJo4TDWxU7N4EUKUXP5eTZSRpdS5xYYguRSWiHRd5/T50ffssqOzfHzK9U8JwE3/Uo+g5lX9MsSMpdh2pJ0wlS2t2UDaGhG1pagcfqks/0VUuUGGbmEzzPAgJXWbQUdLoKgUPS0dy4U7Bns2X7lg5h2uLrzytOnx/h7bd43Hyozh993eKKIju3dHjlacWWmmK80sFXBaLYYbEFJV+zdYPgpdMRN+8vcO9Ny3z0gS6uU+att1kcr8PDz0V87dkSJy8V2L25yM5NKRMjEbvGY47sTFHKoJUFLEXPY6LmEcUOrY7L8XMO7UDT6SragaTdhXZgaXeyv73VTWl3Lc2uYa0jWOxI5tcs5fIaP//uRd5/d8gbD/gkqcuteyVh7NJsF7h4tcTCaoGpWZduEHLfTSE7NjmcmfI4ceIxp+bV/v2VlZdXb3nDG/+Btd2PClH4bxfg1rYA+1MvPPf0rzz55IOju0cb1DsRNx5KaXVKdNuKxbzTZayqUDKl7FnaAbQjQTsWNGOPo+cmOXa+zNnZRb7/zg53Hw6plcqsNErUmz6Vokuro2nlF7sbaDqhJggtQWSIYkscW5I0O6LExRqQSuBoge8KamXBSBk2jhu2bugwPtLgGy/C48ccpKny9lscbjzY4smTMVFQ4c4bBY1ul8WVEnfsN4zXOhS0R5Aolpoxyghu3K8plkOOnvF5081Vbr+hxdEzCmyVWw67/OR7VnnopYhvPV/i1BWf7ROKjaMFRspFqmUoeOBoi5JgLJy6JEhTQZwIogTCmOxvDFO6oSEIDZ3A0AkN7S40Q1huKxZaEJiAt960wnvvavAjbzMYU2ZuuUA3dAkih26oaXdcGm2HlYamEwjGRzRFr8LsouTM1ZjbDkd87bEm0v366PKa+f/d+sY79cJy6/c2jJf/2wP46mqDVkv+5LGjj//KJ7/0tclOu8l77wm5NF2iWkp5yxsE04s+cSKQwlItZ5kR10kpuJZSZOhGUIsENVdS75b4+MMuDx9tcc+RNX70/gZHdnUYqxVZWSvS6np0uk4ObJUdkSCMJXEiSJLsUW9t9vspadEafBeKBcNoOWbLZIeENudmYj75mM/FqyVqXoFbD2vuuL7Jc2cbPPhMhdv2+Wzf1OFPHhEo4VEpx6y1Q4wFJWCi0qHZcjFJgffes8gnvlZkz4LPu2/rEMUrPPbqGHHq88bDk7z71ib7tjV4+GiHV64WefmSy9ZRyWhFUPQErpPdhFKAEBZjwZjsCZeklii2hHF2IwcRdCNoBYJ6KFhtgdABNx1Y40fftsY91yWMVwo0mkUaHZ8gcOiGGbg7gaLd1TS7kkZLEkSWOBEcv+Ayu5RgpeGV8zUuzYe8843zLF759ORJL/2V22+717Yazd8vVyv/bQD8pWd+nzMz23nmmUc/EoUrvzZ95dXxTqtDq+Px9ecMH7hvjbGSR70ZoiSstRXtrkRJjcoZ1XMN3VxeBJGlGKWUXcFaoFlZG+FT3y7x7PE2d96wxo++dY2b9jQYSwskiUcn8Gl3s4sWxYo4kSSpJDUiC1CxSGHxXEPRT/DcCNcJmVkJeeAFyflpl0vTIyjjsWeTy6FdilsONlHeEq9eKLOlVuS63bBxos5qs8KRLZLEWL7xvEfYkdRKCe94Y8BXHou5Ml/mwF6HubWAExcdtm0Y4YZdSzz5SounTwjCyOXgrlEObvM4uLXFhblVzs/A86eLnLtYoqgFnpaUPIvvgJRZUGVtdrMmKUQJRKmgHQqagaAZZ7LO2IA37Gvyo29rcs+RlE2jLkFYYWWtQKvr0g2yc9QNNN1Q0gkVna6k1YVW12RSJ0hpdVIW1ywrHc3MWpcfuNcyWiqyUu9y8qFHJ+cWF36tVvCT55/4/B9987k6//Tv/82/vgD/wuc/z403fQrsO/7GU69M//rSwuXalQU4vAfKruKhFyv8wddT/sEPLrNtQ4qUFVzHw9UKpRRKaRwtcZ0Uz0nxXUMQWQqRpRBaSl7KSEHQCh3qzRE++3iFR14O2DDS4UP3NTi4LSDotrlul2XbRkUYO6SpIjUS2wO3NDg65fKC5dK8YK1r+NKTRWaWR7CRw4iv2Dym2bFRs3sLXLeniZHL/M5XSqyuVrntoOa6PQ0eflkgEofJEUmpmNCJXaSVYCVKuzQCwcKq4LAtct8tLZ46WmDzuMtt143yP7xnmT/8Wovnz5RoBw4ra2V2bS5wYFOHN+5v8YE3tZhdXeVLT3qsdDwuzznMzLg4SiClRCAw1pIaiI0lTQwjYzHXH+4QhjEHt4V88L6QyapitOwRxz5zSz6dwM0BremGKjsiSTeQdENBO4BOkNLpJrQ6KY2Ood6CqVVBodzkJ94d4THBt15UFIsp+7bM8uxzi+NbNm3+9Vjujf/VHz79p5//3Gd5/wd+4K8fwL/2wMd4x72p+NSX3veD9ZUrv7u2fLFY8hJ2ThZ55bzgzW+os3tLlS89U+LLzzf4+9+3ShhrsCCEh5SgpcTREkcLHEfihimeY/Acg+9mQC9FloqfAb0TSVpRiUvTJf7Nn46CSRBJwi3Xd9i1MSJJwFiDtVkRRwqBVALtuJy54nLqvE/J15RdyXhRMDEmmRzVbJ5Q7NiUcmDHGqlY4f/4fIXLV2rctt/h4M6UbtLimVc9agWHsaqlVo4oFjIpZIykEShW25aVRkqjXeDu69Z44VSH01cUtYrPGw/X+On3rvAfvwBHz5dody1rLc3CaoWN40UmRwJ2jAX8wx/sUCk2eOUSnLkqcRyLUhYhDGCz/1lIEti5MeXOIwlp7BAnHtYWCSKH+WW3L0OCSBGGiiCSdCNJEAqCSNANBd3Q0g3SHOBpFpy2LQtNxWIj4ufeVueWPRW+8oShkwbcvkdy/rJHEMVcvLxQ27er/Lt/9M/fnDC579Of/Myn7A998EN/fQD+m7/3SY6em1T1xsX3r9Zn/2h29oo/WSny8DFLoRAwVirysa+XmFuzrLYUX36qzHveMMfujQ2SVGIRCOGgpMLRKpMpjiJwJUFk8KOUMDaEkSWKDWFss0dzbAgTiBJBEEvC1CNOfU6fL/HyaUitJYN2po0dCa7KPB9lD67bBJUCVEuSkbJirKaZHIXtG0M2TawR21X+j89XuXCxys27Fbu3SvZsrfPtEwkLK1Vu2SUZqRh8t4snPawSJKlEWEuSRtTbPgsrDjcfLHDj/hZPHvXZMCIo+mVu3m/4ufev8OtfMJyYKbPWNqy1FEt1zXitxEilwEilSqUYM1GK2XFzhOckODpBqRQpsmDCkt1UcaxYXNLEiSJOFFGsCOP8PZKEsRx6FwQR+bsljFKCMAN3N7S0A0Oza1ntSK7UYd+ONd57Z0itUuQ999R5w0qB0xcdbti7iu9UePhFn6vTZ4vKSf9om0zMh9469vkXn/p4+oa7fvivPsCPv/AJtky66plXrn7w2ZfmPxp2zvuh8ahWI950g8czJzzawjLiKULXEnkwNVfka8+7/L33t6iVvKw6CUhp0criaEXXEXiRwIuyCxTFeTYkSfP3oSOFJLWkqSE1ZHrb0Ae3EKAkaAmOA54W+J6g6ElKRUW1KBmpCiZHE3Zs7FAurfH5pyIee3WUteUK129X7NjksG9bQCrW+MbzRUqOZmJEUS4GvHqBrON+m6UTKm7YF3P9Hsv8XMpS3aUbFHnnrS2eeKXLuRlFqSDx3ApHdht++SMrPHqiy1ceHWeladkxmVJvaGoVRbXkUC46lAoW3zN4rsHTKVplUkvmrZXWkhWsjCAxkiQVJIkgTiRRIohjSRgL4gTCWBDFliiCMM6JI0wJIptlYUJLO7A0AsFyR9I1Ad9ze4OdGxT1lkOzXaTVKlAqGJSo8NhLLvVOwNaNlpmrZ/zNo+kf//ED9iemFkc/8x9+65Pp3/vZH/qrDfB608hmq/7hgjz/m8tLC365JPG14olXE7aMd7hlf5WlukTJGGyKsYbltsPXninzntsW2bOpQ5TIAcClxXEsriPxIokfiezixCpnbZllEJJB2i9JDWmaZRdSm2dK8myJEAIpQUmB1gJXi7zyKSkVBJWipVY2bBgNmRhpkdg1Pv2E5A+/Nsak73P9dsH2TQ47Nxt2bKrz+Wcsq6s+BzcqRipQLsYsTEkW6x7urgxAE1VJrQbnLlnqTcP8ss++nT5vuaXFA4/7jJXBc12UrHFkj+BvvXsRRy7y5SdHODnjs6EZM1lLqJYU5YKiWJAUPI3ngueA1hkRSAFSDIGc7MZODaSpIEnJgQ5xmj314jjNSCE2/adhGFnCOMtadUNLOxTUA8lSB67b3uR7bouQcoTVtQLzKwWW6g6rTcHpBlQqTfbvUiwsezhel9PnzvvTTfu7h/c6uui7Hyfjmb+aAP/l//g5vvWq+Yhonf13eze8VLn14GaeP6O4+UCHjSMFFlY9KlWB6yh8T6BkTCtIcaTg7IzH6atw094O7a5DppEtWhocR+M5Ei9SRLEkigVRIohiQZLIjLETcnDnwDbZu+3lAcmYWwiBUiL3rWQA8T0o+oZyIaFWTpiodRkfWeOp0xF//GCBM5dq7Kw67NkIWze6bN0AB7Y36SRNnjtVoaAcJkYUtTLUyiEj1QTX1QiR3Vzd0GW1GbPWsTTaCYt1l+0by9x+cJEHn+9wZqZC0YtxlIsQVfZsUfzYW5d5w4FF/vjBMs8dr7HS1kxWEmrFhKIvKfgKzxF4jsRxBFpJlCJPH2Yot4C1Nnt65UBPUjMggsSSJIY4McRJ5sOJ4qySG8SWIIZuJGiFgtVI0O0m3Lijxb4tKVHo0Gh7zC07LK5aVhsxUZxQLnqcOK9YCyNu3udx7BQE5kTlnuvT/+Ndb97ufvDqR/9wZNtP/NUD+NnLTaSUP/XYo5/+lRfPz4816+O88VBKHNb48hMN9mxrcs8RH1dZVpuWoq+olTTFYsLV1Q5zSzHaTdBuSsHvggApDVqnuJFDGCn8KNOQUZIFcHEiM0ZKIU0liSFnbomxDMCdFSlz5gatsoKJ61h811DwE8p+wkglZNN4k4VGh9/4ksM3XhhltV5i74Rg+6Rgy6TL1knBrs0B2l3jE49pLl4tsX+DZKQsqZZSpAyZWbJ4WiIFWCuIYs2OySbPk9LsKOpNy8Jqgf1bfT5wX4PPPOwyteDh6BghHIwtESeSW3bV2fHDTb5xtMOffGOUF6dKbBkRjJdSSn6K7wo8R+A6WSCuFVngLEXfk2HJbrJevjw1GeAzCZcBPU7py7tewShMBN0YOrGkHgkasYUkIIkTdCFirt7h+AXLzGJCM6+W1luC6brlnptW2LPZZ36xSBCF3Hq4wMz0/NjzJ7b92rve/X5l7ervCfFfp+fzvwrArV0FxP9w/OWHfuX8meOThoAdG32kUFy/VxKdqnLqYodb97fYtSPF9zyiKGsPveumNe574xxfeVJiUov2QopFhRAWpVIcneI5CaHrZLIkB3iS57Ozd0FqxEBrW4G1uSqxGXNLAUplWQdHGVzH4LkpBS+hXAgZr7Xpxl0eftXyyW9Xee54jRHX4cgWy6ZRyYYxl80Tkq0bInZvqfPKVJcvPTFBVWkmqoJKSVApxjQ6KV97xqfsWoTIgNUNNe+9M+Srz2aemEbbsFjXbJ0s8/13tXnudItT51xKXoKSWYBtTJEgyrT+j72lwf5Ni3zi0SZPn6xxpV5gY0VQ9S1F1+Brg+uAVgIlsxs5Y3Lo2Y9MLtWMGTzhEjN46mUgF0Rp1qARJIJ2LGkm0EkMaRRA1EUqw2cfUXzuccnyQsKobwFDlMBSU7J/t+HQ9iLzi2WOnxdYo7kyJzi4s8XZc2cmm195+lfuueM+MzXT+IOdW77zoyq+owBfrTdYWWmytKx+/IWjT//baOWhsYoT8cqCz7nZLm95Q8L1O9vs2FhmpeGybdKh6Ae4ToS1mbV1fKSJ9to8ecLjNz9XQgJvv6NDtRIThj6h4xElDnHsEMVZViBJs8xAxtqSNMnBbTPmztJl2YUVwuZBZebj0NpkeXU3puBFlAtdUro8dFTyp4/UOH6piog9do5YNtUs4zXFxKjLxnHJ5omY7RubXF1q8VtfKZGEBbZuFdTKmkoJKsUY4UQ0uyVqZYsQ2Y0WJ5JRT5GYhFbs0uqk1JuKmaUCh3eX+ZnvXePXPu5xeamEVnF+Y2iSxCeIJBvHPG7Z2+T63W1OXJ7hk98u8OCLNWYbBUqeouxCybG42uIo0DIr5wvBEJNnr4wA6Afficm0eWyycn+QCjqpoJtCmBiSJMZGAeN+h3e+t8nf/oEmj7/s8vgLLrEUTFYkBZVlb+IUZuZdPvMtwUrDksouB/cEvOMNEUG3wqMvtnj6+IOTezaIf3vTTXcn7cb8fxbKo1ga+csJ8CDoMj5eed/zLz7/H7/96IMVRJ07r4NyqcqzJ6p87pGQ03vX+JnvrXNot6ZSTNA6RgqTW1xjlpsxn/yaz+98qUqj4XBqqsgbr+vy8z/Q4tCONpO1kLLURLFLlDgksSZONHFesElTSWokxsiMtXP2zsANUhiUsmhl0DrBcxMcFdHsxiw1Y/7D530uLY5w9FQNa1zGCoLJcct4VTBWUYzVHDaMSTaOJWyZ6DBWq/ONY4YXT9a4fqtgpCwpFyWVoqFUiBBOiOdptMp+vrWZfMqqhDGJEbS6hlbbstp0mF+pcMeBNrcfXuMT3/IprCq0jDMwWk2SukSxpBs6jNd83rCnzRv2tnn+3lkuL0n++MEai2tFplc8XCUpOQK3J8NkFnj2ibwnVcj1eA/gFsIUggRCYyGJEWmMUiGbRjoc2dHh53+gxRuvixirWg7vSFlcXeFjDwuW6mWEVCAkCMlyB6bqhg0jLf72+5oc2VHkzMVJnj4hubzc5daDCzz91NfHpJL/cf+BN9aDbudL30lMfscAbu1RYIP64gMf2zszdbYSBWs8e7bGUqPOjXtWedttZRzl8djLozx7zuV771hhx2REklgQWXk8ShWfeLjGK+eLdFMXfMFyYHnw+QpPnRyh7EV85F1Nto3F7Njc5Y4jLTQ6Hx6pcmArjBFYm/mley+BRUiLEilhbLEkIBNOXJK8cFrzwHNlTlwpEyVFyloxUbCMliwjRZvlwSua0apmrCbYOJqweaLLpok6jx0P+Z0HJtlU00xUoFJSVEqCcjGh4IU8dVYRRBqnlIHKWkGUZJmkm/Z3efbVWmZ86qasNR2W1zwWlkf4mXcvML28wrMvTeBIQMQYIEk0UewQRpJ2VzNS9qlVSty+v8O913f44Tcvcfqq4avP+Tx3usDZiyUSoQlDRSdWKCERQrwm8EwtpNZkfhxjcERK1Y3wibj9lja7NoVsHY/5sXcGFF1BpahI0iKdjqDgGH7xJwJ+4L5ZPvWwT5hIhBSAIIol2yYN77kdfD3GEy/VePiooVZr8L13pxza5vLky22+8o1HK/svXt2764M/oT77yNn0B97ynfGTf0cAnraPAdvd5uLDf7OkW/9ufmGenZtDdmxUnLo0yhcfDdBuyFojpuZ5LDQq/NYXy8SxweaZDQsgBKlSWC3QTnaCIPv3VmJoRin/9uMj2DRmw0TI4e0BY9WED76ly/bJiDjOcr2QAbyfMMn1p5QGIQWffbTAKxdKCK25PFtkZqGIX1BUPUGtZKn4hooP5YKgWlRUyoqRsmasBuO1hA1jAVsmm6R2jc8+UaHbLrFvq6VSVJSLknLBUPYTHCfiG8/6hB2JMwkS+hKlVFC8841dHj9maIeSdjel2dGstTTzK0UO7SrzwXuaHD1R5PJqGSUNEOd62SFOFWEsCSJJO9A02i7lQpFSIeTQ1oDbDgRcXWwwNbeGdlJevqj5zLeLCKUycF87f9AawGCNIYkNOzYkfOgtXcYrKQd2WDaMg0k0UVwiTTVrbYnNLQ4Ii5KGwzsMv/yTKUIk+X9SkhhFEHo02kVW1gpcv2eJTRsMjipz8UqNzz+akBIymi6z1Nz97/jas52dGw7+4QMPn4zec//hvxwAP3ZimkJhZf/U1NRvPPPsU7JaLPLMiSLlSshdN1jGqgVeOe9QUCmiYHG0ZaQg6MaaMIU4FVkytCclsPlzNAuEUitJrCS2TpYZsYbFtmHhZYMVKV98LkGINLtI1sBQKjDPBSKEQgiJVIok1kiT+VrKHuyasJQcQ9EzFD0oeoJSQVIuKCpFTbUsGanAWDVhYiRk80SLlDr/4XM+T746yZ4xGCnm7F2UlAsJxUJEqdilUCjiKYmSuQYn071x7BB0Bd0wpRUq2oGh1TVZy1zJZXqhyt2HQ37uBxf495/RXFnzEMJgbYxJLXHiEMWSIHRodxXlrqbkuxQLPkWviO/FlAsRt+yLcJ2YW/cl/Oj9HbRK8iJQJgvXtbzkks4YiRASz1VgXYJIUV/VmQQ0KstK5U9Juw4JeXqKLLBPU0mSaIJI0w0dglCBGMXGmudOOJyeCbnj+jajBZfnTgvOn3pCVn35G6uq9UQcBce/E9j8fw3w//MPP8Fz55xCu37i/XReFUpHrIUJ73xjjcdeKbPWDjmwA6TwmF+Js46aIPONhHFKnGbBSD/b0TvR9B6fWcRvcr2YGEFsIbGKtKBI+6DPvm/4XOfYRgnQQmSVSgV+weJri69SPAc8TeZl8QQFV1IsSIq+zgBeEtTKhtFKwlgtZHK0zebJFX7nAcOfPLiBbTXFeNlQKSnKRUWpCMVCNqdwbsVwYc7DdzP7LfScfoIg0uzaaNg4HtAMXLqBzVlcstbSlAs+5WKNH71/kYtz8/zul7agpcZiSE1KYixxogkjRTdSmePPlxQDTcFzKHgpjVYWY7hOln1ynBQts0YJKbNyvsiPDJsij1myJ2Gjlcm8HqD777YHcJFfo+HrJvLvyWsSiSKIFN1A0woUjZZibtly/mrISC3Focw3nhPs3r5IFGlOnHhGvP3e+g+96W0/c6YT208WHRF/VwEeBL6rgvl/UhTT/8QvtmWz4fHiOUkz6PDuOwPGyg5BmNLuaox1USrOUn1h5lPuldJ7eVmTG4R64O7nbHvsMgR2Y8Xg34ZPNHkJHvJVI6ClQUuyUr8CRwkcbbO8sRb4nsR3JQVPUfAV5YKkXLRUSym1csJoJWR8pMP2DSs8dzbkE49uZsT32FA2VIoiA3dBUvINJT+hXAx57gy8fLrI3gmb695B2bwbKm49YNm3vcvzx2t0cjNTu6tzkDsU/QIFv8YPvWmVl88u8uypjWAVxqSZHTaxJLHt+0m6oaYYWAq+wncNnuvguSmezuoHjjZoZVDKZOdFZrEPwg6emv2U6gDsvZvSWIHN383Qvw1/n8lvjtRkAI+SzOPSCSTNjmR5DeaWsrk1V5Y1V5ci7rq+zaEdmmNnCpybTuVzx1f+xZ59r8zUKtUvAN89gHc7XdnudH/pP/3+H/2DmaVFN6bIrkmH63c4nLma0Ok2uePIKvu2uGwzY6y1C32HoFIGN7bEqe03G/RSVsPAtnYI9EPg7gVHw/nt4Vcv1y2HCjpK5hVLReZI1FnDgOdkj2PfUxQ8QbEgKBcslWJKtZRQK4eMVbtsnqjz7Jkuv/TRDVyZrrF73FArQqWgKBUUJR9KfkrBj3GdgEZgM4OYskg50AKpyUxXceJSKcR0EkMnzMrgnSCl1ZE0Copiy8P3yuzcGPPLf7PBL/6R5JlTG7AojDWkqSFJE6LEEMU5U3qSQqjwXYnn2mzarTY4Tpbv18pmAFcZwFUuU4SweXYllxmWIYZmCNwDQA8+Xv/vqRG5FSALMsM4cyS2uoJWJ2F6OWY5iNm7vc2dhyQbq2WOn3VZWTPcvK9La3WBV158cOzNb//bv9DphP+sWPyL93b+hQE+NbvKfL3zr5944pG/98qpc/7GEY/lhmBuJeDGfR1u8B0ePVrmxbMuh3cG3HUwJjVFHCXwvaxZ1tEDz0hqBjlZYwfSxBqxHvAMboBhOdMHdg5uesWcPsAFSmXpMp03Tjha4rmybxUoeIKCZyn5hnIxpVKMqZYjRitdNk+s8ezpDr/4h+OcuTLKjtEsw1IuSEpFmbF3wVL0U4p+TJxGfOxbZaRSONKixCBNaGwG8CR1+LG31/nmixGtyKOTA7zdVbTaioan8V0Pz6lwYFvCv/rJFf75HwqePr4BYyWpMSRpXlqPLWFkCP2sW8nzBL4j8Nyssulq26/YamWQKsuNS5EBXQylD3vPwWulhzVDT1LoX5vek9QacvbOb+Kk1z4nCGOI4uw6bJqE9721zZEd0O0W+PYxQ5CscccNBpOUcERC1Dnnnzr+jb9/2133C2sX/6kQk///BfiJU1NYa2+fu/JE4Y5DTUYrIKjx2LEKR08GOCplpAh+6LG86PKydBipWKSSeC5Zd05i+iXiHoOn1uaekV7AM2DvYXDn570P8MHFGbC3EINKnlICnRuqMoBLHEdm/g1X4HvZzJOil1IqZOCulCJqlS4TtQbPne7wS38wyonL42wdEYyVhqSJryn5mX+l4CcUvAjHCZlZGcFRAiVNnpYbBJlZAKbYNGJJkphm7GcdSqGhG6S0Akmho/BdB9fxcXSVg1sT/tX/sMQv/D48e3KS1MgM4Gnuokxyg5Rn8CNJ4Kq+BHMccHQm0TKfikXLzMAmc6APF4LWMXlOHdZkH69n7h5792RmD+CZkStJyc1cmQQt+JIbNxbYXJGsNSRBCId2dtHKp9lyefQlBU6Hs3OGXfPPFw7t3327lH/xjRN/IYA//cRX2DgZFj/5pa+4r5yM2LM1xeiYuw4HjFYmOH+1yOKqIIpzFiaTAb3SsVUy05Ba5uA26wxRJgd7T5JkbGLXM/cQuKFXhh6UpIXI+hSlEn1pomQ2a3sgT8B3wHMNBd9S8DL9XCzEVIoRtVKX8ZEGL54L+Oe/N8KrlyfYXFNMlAzVgqDsS4q+olgQFPzs5shK/RHPnhK0Axdfkd9kmQbvNSGkRhAnmpKvuOO6Fs+dqNCJM5nSDVM6XUXLU3iuwnXcXD/XOLTN8Ks/vcg//m14+tQksZHExuTN0oMezNCVeK7J2Dv3pjj5zZ0duVWhV8YfAvnw+YShpFReFBpob9aBvG/iShmAPKVPYNZm56HZVpy5knXbG2OJY83CquHCbMJiq8kbrg8ZLTlsrnX42Ge+4t5w0weLD3z9G533vOud//UBfvXqNOMTW2pPP/6nvzVeDN+0oSY5fWmCmZWEJ15qc+eRFW7Y47M3qjC37NHqKpJUDMCXM0BqRXYi+r6R9eYfa2zfL2GHulN6ZqFrX4IMQEL2wJ0dqg/w/KmhMyZznWwMmu/mBisvpZDLi3IhpFruMlJu8tL5kH/+eyO8PDXJxppmomioFqDkC0oFRbGgKPbZO8X3EsrFgMdedllr+IyMDMrkOUYylksFcaqYHFPcf2Obx14wdCNBEJkhkEt8R+I7Gke7aF1ASsOhbZZf+elF/vFvW54+M0lsNHFqiBKb214zJvdi2XcXulqi824oLQVKZ+dF5fFJVicQ/czToAw0OMPrnqB9sPcCZ/oys2/gMhaTP6F7yQEBdIPsv5iklk5gmF81hDbkyN4WH7kOJiolZheLXJ4T1EPeNDZ59vc//MEP/uyVK9Nr27dv/a8L8CtXZ5mZXf7HU5cvffji7Bz33OIQdIucuexx5rLDZx6KObG3yU++e4WSP8LCqk8YZwFHptMGj7A0FSQ93ZYyBPTh4DIHuRmc7nWW11yX9KRJxkRine7uOQa1IvNn6MxT7rnZpFjfTSn4CUU/puSHlIsBo9UGR8+G/JPfHuelixuYrDlMFlOqRZuDO2dvX1LwMvb3vYSiF5GYkFbkIZTE6TF4X4P3ArHMGBbHDiU3yOwCkc9ID+RBSsdV+UoUiaM1ju4toLUc2Wn5tZ9d4H/+TcPTpzcQG02YCqLU5Cwu8GOD51hcR+Bqkz+98idp/kTLzk/eld97HzJmXcvkfVm4LhHQy4DZIZIaSM/UgBkCuc1vgjC2LNQtbZvwN9/T5sYdPuevVnn4tOLMlYR2EnB45yqzM5UPnz/70oUoin/hvyqDP/vKNBs2bdnxyT/57evrS2tcmB4lTlbYt73LPTeX2Lu1xKmpQtbF3W0yXo5JTJYminOXX+b0ox9lD38+YIABEIwZeEnskFzJ0C0GwBZDmZNcd2s5eAxrbXFU3iyhbd896DtprptjCn7ISKVDtdTi2VMJ//R3xjl2cQMTVc1EIaXqW8o5uAt+lk7sgbvgpfhuQqUUcWrK8ujREq6UOCrrrBneddMzN8WpIjGa+26J2bu7zYUrBSaKZN0zkc3bxHIW1gqtHZS0edHIct0O+NW/tcwv/LbhiRMTBHGBMJVEiaWY+7k9hwzkuvf0MjnAJUqlOYtnh8gZXOYpTdZpcvrFiUGNwuZ1NdtP8a4HeMbiw0DPrrXNu4egFVhqNVhdHuXBWY9Tlw2z9S47t7S4YZtk60iJlcYM01NPXH/f2396h00vXBZqz3ce4NMz89Sq1Z3PHXv2fw/C1fdpvcJbbirzxMsTPPZKi/e+qcX1Ozp8z90luoGD5xaQKmGkHPR7/+Lc1hr3wZ1bW18jVQaa7lrdnWG7JxSvDSrzrIDqpQWzzhYlc9bWFlcbnLxR2XMTfDfB9yKKfshotUO91eHx4/Crf7qRV86PM56Du1awlAuCki/6ufIs82Iy9nYzgBe8kChNCbo+vspush5g+k6+Xq44r/SVfUlRh4SRpRuLIYAbXDfFdTSOI9FKoaTTBzgCbtgl+NWfrfNvP57w9OkxZhsVgpKkllrKicV3LF5+OH2Jlp+XnL17UqXH4AOAr/+91zO57Qf/2fWyeaBp86dxDuo00+FJL2+fW3GjJPOYp1bQ7Tg8+JykHUWMj7a45bqQ779LceHKCE+8bBmvrbK4tPq+c6deSLfuvPXvLy8tTI1PbPjOAnx1aYpus3Db2sLp9yfNi5xbNIxV67zrzjLi6SKfeUjxjUqb+29Z5f4bE/ZtBWOzMcdh5BDEOrO3Dvm348T0gd5j8L6He13O1b4mJThIa2XDNgc5b5vLk95FzJhba4OjDW7fHpuB23NzcI+2Wap3+ZWPFfnSMxMst0eYqEom/Bzcfqa7i3lgWfAkRc/mDJ5pb9+LgIhHXnKpxy5jHuv82IjhR3umw6NYU/E0b7m5w7NnIlqxRzVvoA4igxtmXnVXZwDPblgHIbMCDRYObpP8+/+pyVef7fKv/2AD08sjdGuamisoJ4ZiAl4MrmOzUXQ6K3TpPsAz/T34XYe0+J+xZc0OyceelBwkCQZzWQbghijPqGTNE4JWko2ikCTs2dbiLXd0uP/mmFqhzMnz43z9WcvY2CqHdsc8+dxlInv+/d1k9GNB0J36jjJ4s9WhXCrs++a3n/z5Bx57mVZH8OwZj+mFDt9zW5eRcomtVc2lpSp/+ECBR19tc//NDT50X4MtEw5r7SKdrk8YOURJNnBneOhO1jMpSfLg6zUAh9cPLAUITB4gZeytcu+zygsaOrfGOjqbd+I6Ka6T4LsxnhtTLnTRusNjL6f8/tcqPPDkJJGpMFkRjPuZLMlSgL08ucoPkTP3MHvHaB3y1MkanUizqWjziuG1DN5Lp2WlbN9R3H6oS2IygHdjQdDLhkTZyDVH91KcKgdiVn3MlINgvCb48JvblL1Z/uBrXR4/OcZ8XKDjSyqJpaRtBnKdxyHK9jMpWor89+yRhFiXjRrqkxhCeC9DNqTBzSB7MgzwOPcbhXHWONGKBWuRoNmN2D7R5Ifua3HvjZYDW1w63Wyn0GpTs23TGu+6s8vmUUuatEi7z1B0dv78DdffeywK2+dcr/T/HuCPH7vMhZPfolCqbm4tn7t3daXBWtvjuk0KRzmcuQTlgmLnJsVIOWV2RXJ12uU/TVX44lN1fvjNy/zEO+p4TolO4BNELmGkcXRvhEEP5LIvU3od4MP51uFq5XAqSwiba1zb16dK2iGA5+BWmRfDc2JcN8Z3IorFANft8KcPav7Nf57kwtIojuezsSwY9VIqnqXkQSnvsC94WbXTzwtCmX8lzZ8EmTxZbqa0IxdXKVw5SMMxnEXpBZr50ytKHApOwMZal7VOmW4s8nFrWazgOGme5lN5ulMNijP9wDVzPr7vnja3Hl7iV/844E++McFqUqLjOZQcSUVnHhxPg6sGHvHsfNHPqMhrJF9fiw91S/QzKtCXkmZIZyd5ijDKWwjDRNBJBM1Y0IgMBdr83ffN84P3RmwdL9HpjnBpusLsssdqQ2Gt5eDWEisrPo01w5aJmNnlLk89f/bes5fZ3Gg0z1l7GiEO/r8DuLWGsHzPziszx39naupV7j6SzdsueRZjszkaxkiCSLDW0tTKCZVCzLl5h+OXJvhfpzSks/zU962hdYLu+jjKI9Qpcc7mSapIEpE3K2TMdm0xAbueQnqdOb0L3Ss793wWA3CnuTzJBuF7boTnhnhOl6mFhN/9aokvPDHGxYURKkWHUR9GvGzIZ6knSzxJwZM5uGW/KOTn2ttzsxunUgr5/FOac5cL+EpkFcNeBoUByvtjHHLHXZxoDu6A99za4ve/Pka7qKnEliC2eFEeNyiD1jLLfiiGQO4MXazs3G0fl/zTH+lw/a5pfvuBUS7OV1lNCnQcTUkJijnQXWnztOFQQN4/l+tjm2uVSo9wzFA2pRc/ZeAWxCYDeJhCOxY0EkEnSimYBj/9/Qv8o78RQDrC9MIYF2aqXJnPGpbXWjFhnD0RokRjrKHkK5RKmRg/xd137f6dPXtufFeatP5vpcqfC/AwSnEdyfHjL29tL13Y8+rZkHPzlruum+e2w5blpsfWTSmbxzStjk+96TO/7KCUZrUVUw8lc80a//pjhsTO87ff36SiEnQ3RSuXMHHQKm870ypncNln8WEzzwDZPSOVzVOCBpGnzpTqMbhBqzQ3GKVZ545O8LwQV4e00ojf+LTLH3x1IzMrNYwqMFpVjLqWqmso5sxd7JfvZe5TyaVJnjvvg9vNqpdhHHFu2qMdeYx4OWiGik5iOBNhhzwpsaZS0uzaGqG8gFZUpusKCvnIBjeXV04uUXQv6yHUnxG8KiaqHX7mfR3ef988f/DVJr/72TGWuyW62sfXiqIW+MriJxZXgqNsX4/rvn9+aPSEeF2VMtDgRmRNEznAh1veWomgFUMUhZRFk7/zgQX+4Q+HSCqstIustjwuzSiOX4hZqKestg3NMGXLRMjYqGC5JTi8r8UdhxSvno949rlLe5qtka033XjLVJIkaP1nw/jPBXijPofrlSdKBT6dNJ93br9OsGuTw5X5TfzOFwxXlhJ2bmqxc2vC7QcXObhNIXSRo5d85psuroCSp6gHI/ybjwmUnuen39emWkrpqAIqSolkBvIkVf12s9TI9QAfZu78/3pWz56XQsoec6eofL6gUimuE+O7Ea4T0QginnpF8qcPVvjsE2MEaRnXdRlzBTXXUHItRc9SdAfg9j2J50m8XJpkhaE8M5ED3HWyyuelOcvjLxaJYgevZF8TYPZeg5J2ZkGNYoXjaO6/tcUnHmpzZrpE18/mvYSOxU3AiQ1OZLL0nhS5TpaD4T6wPsduJEVPs6HW5X/+cIdD20P+5MEyL5yqstQtESgXx9H4WlCQ4CmLIy2O7GV+bL+eIOGaAtBrAT5sZ05SiIygmwpaCXRii4kCKqLBz37fMv/wb4Q4okSzXchuxlob5XS52nBYaBkO7ejwhgOGg1ss2ydcrixUmJ7fxLeeg/nVmBdOv+wcOHjbp1vN5o2NVnvpL8zg9faErF85ftu5M9+sPvlqTDtOuf1Qh+2bfG5q+0zNOlya8zh2POX54xGRiWkFMZ3I4pAxRNWBFE09qPGrHxMsrS7wgXs7HNllELnxXimTAzwDed+OaURu21wP7gzYJgN5n70NSpoM4CrN9/JEKB3RaCc8eVzw0a9XePBoldVGGVnwKRUUI46l4hqKjqXoWgouOWtnzF3wJL6r8F2B75I79EwOboPnZPpb6ZCz0zDT8LPCSt7se+0jvpdDNgxAnhhJFGk2VAT7tnV59UpCJ3YI81yxG2UM66g0lyi9Qg3IazpzejdPPw2ZanzP4UP3d3nHG+s8fKzFH32jwgunKqy0CjSkR9vVuErgSoEnsxF2jsgl3zWaXPSdKYN4ImtKGQA8Azd0UkGUJKikwxv21vmBe+v85PekaFGi1SkQRA7GCAp+wvvubfKOOxManQJpXMIkJa7MF/jqGcXluZRmGOAXY+64IaHVcnn6mW9UJ2r337Zj98Gv8+cMD/rzNXhy2ZMy/c1zly+V3nRTwJmpCg8+Z/G8Fm++qcP9t5WYmi1ycVpxZV5yddnBiGymtiMNFtG/yEpoVoMq/+Y/S549vsRv/KM6ezcbms0MmEmasbjJGdwO+ZJ7yOhZOkUf2CbTizIz8CuZ4vayGTJmqZXy2IuKrz1Z5kuPV1lslhC+j1N2KGuoOVknT8Ehlx1QcEV+yNxymutuV+D12LsHcJ3gutmNZG3MI0c9Ls8VGB8VONKsz0hc82y3ZuCbTlNFN3TYsUFw/80dvvBMRDt26MYC37G4ScbiYdyzuqaZBu/nq+U6mZIdMm9Q6I3T0BS8kA+9ucvbbl3hi0+0+OqTRR57pcxio0hXuHRdjXYUSggcKTM2FxYtQAmbM/kgmujfrD1wW0FkIDSC0FjSNIZ2l71b1/g3/+Mi998Mq2tlmu0iQegTRA5JIgkiByldjJV02z5X530uz0kuzhguLYTs3NrkXXfHuLLCq+d8TlyJuO3I2VIYv/k3Z2bmDgHdvxDAF+dfpNvt4CQpr16QlEot3n17gW8+W+ITj3T50XetcHhPiz1by7x8toB73rK8ltKNbD+KjpN8bIGQgGbNlDl6LuHj3wr5nz7YplSAIDSoxEErlbdE9bpFXiewJJcm0uTSJMVRWerP82KCMOXMDEzNKj75rQpff6HC4moJXB9dcSgqSdmxlLWh4FgKDvhOBm7fyWYSZjZTOXSI/N9tDnLTB7nrZO1pF2YNr17ywHHyx/yQkemaKG340Z6mPe90Ns75yK6Qw1vbnJ4p0vUFxUTgxZZQkaf2TN9fkwWavRTkQKv08+ymF9MoklQTJw5B5FAohHzknSHvuWONB19s86mHikzN+pyeKRKtuSSeQ6gUUmX/fUVPEgkUvDblCXnTMiTWkpoUTAxRwEixzd94e50b98Bas0yrnWXTss0RWZIhzQt+3VCzsOrwynnLyxcigrTL7m1dfvCtCWv1Gl9/WjMx2uTmfQ5zC5oXXjlNsVj8czn6zwT4qQuzotPt/vwnv/q745vLloWlURYvdrnjSJc9mz2uvFTiD76suOVAm+2b2iyuabSUlAuZSy/JpyNFCbkfw2CRJFZTb5b5vS+E3HYo4L13BBiTNQT3+/2s7HeW9LiilxIUuTRRMsX1UrRKSJKUuRXBt45pLkwXePS5AjP1AhdmiuB5qJKDryUlTQZsnVf4dDY43nPIQdw7ZH6oHODkmjsHt5MNH3LdBFfH+H7EpSU4NVXEkevTg3JIu/b84MOBmckzH1kmyeHwji77Jjscv5jQSRzKsSDU4CaWMCZncNHX4ULKdUzelymWfj2hF8wmaT5DJnUIHZdqIeLH3h5wz/UNZuoNHnne4+JVl28eLTG74pEGLkYqEncwBkLkXfnrHkj9NG7eE2tiMBFEIXff2uKnvi+g5BZYWSvQCXxaHZ9O3qPZq4fESbZtIzWCjeMdjug2uzcH3LJX4ckRjs14jI92uP2wx9JKmXqrS8EcG3/zHT/98+3GlV8rVbfb/0cAP/HSE6Qm/fCI1ywVXJc335LQaLtML3p0QziyA+brRU6e9Th+zlDxLGNlQ8GXeKntT0mKE4ursxSUtZZOKuh4mquLBT77UIk3HqkzUQyRkSG1qt+pPcze/YAy1+yOlxCnlotXBa9e1HzruSLHL3mcvFSgGXqEoQeui6pqXCUpKihpS0FnoPZUzsYO+agz+s0BXi5LXFfhujK/AexAeztpVll0ejo/xpqIhVVJaD20lrgye6xLORScXWtayh2VPUmW5vlwgWZiNEKqgHbs0NECL7G48cAwppVZV4GUYiiK7U8TEFgj1zF5VmuQOKnKxk8kDp3AZeNIxPYNEbfsDulGXX7iUpPjUw7ferbAqxd9Ll51iRMHXIlVEsvrRM4ANgVM9h7FbKwGfPCtbTZPQH0tq2i3A49mx6PV1TnAc+tGPqxJS8vhHYpbCx5SFGg0fBZWHTxtqHglvvmMoNGxjFQcnn81Kin/2IeV0r/2/4jBj7/0FeYW2+qz3zgniFMW6pCKCGPhwEbFjo0FVpuSrRsMrY6lE2Rl4/5wm7ySlaaZfdNzLI42pKnFDfLvkfCVp33ec6/L+98U4GiDshJrsz0cUuXnT1iSyNLpZhQ4tSD5+IM+nVjx0kmP81c8ljseYeJms4+Vg6xoPCUoKChKi6/B0wZP5cYjlbG264is6DEMbkfi5rLEc8FzybMmWcnc0QbXSfKKaEzBj1isp3zr6TKNlsdIVaD78mkA8mtfPYdkPyA0kjBUjI8p3nFHwDdf6HKlUaLryEymaHASi5MDXeXjkaVMs3Qhw7NO5JA21uuCTpMzeapzNlcOceLgaA/PiSm5MfccibnjcMT33xtwblry8kmXTqT4k28VuTSvQWTrTNIwY3QrwOqh/Kc1SFLuuaXLe+4KscbJxmWkinbXYbXp0upkg/bjvCkiNVnThBCCTlhA4NMJsgW3nTCl3rRUy21u2NcltRprFUIoVHJSxOJG9bkvP5h84Hvf/l8G8DSFibHSb9x9eOWGC1cUKw1FO8j8HQUXdm4O2bbJEoSKVkex1lI0O1kpNk3zLngzMLoniaVUSIlNillN8eIuyJDVWcHUlKb1JoHrWqxJESKl2Ra8dMxhpako+PD8KYcvP+ERxIog1szNuxihia3GCAe0g/AUUip8med3lcWX4OVlaS8vUbsqL1fnzO32+jL74FZ5j6YYsLdjcN2eQSvts7frxigV8e1jii88U0a5Gk/avDq4vkjyegzey4VnOlwSp4ogcHjvnV2+9FSTP3mkSjvxKeU63Onp8Jh+03CvW0iI3p3UG7Qp1/VTZjeRyWaEp5LUyYCudZKPvkuJEwcdJSiV4OiU0ULMHQcSbt8fYYXhg2/uEOQLBb78hMfzp1wKnmC5KXn5uEOznTdWG4unDDt3JoxuMkStGM/r4qgy9abL3LJLN8xmHw6aIwYelii2tLsJjbah3c0quqmBvdoF6+IISTuApTXD+dnuDe96W+U3lOBn/osY3No1oFr5+Kc+f+DRlyK1dWKFd94hWWkVMAaqpQi/GKCUwY8VE2MO7XaVqwtFWh1JnGSP3t54Etu7okJzcFeXD7x9Ds9dQcgEJS0nLmn+7r+q5QNksrzrWlvywisuzYZCakloFaFRWKFAaFCDdyEVWko8Cb60+NJkIFa2/+7kwHY0fduo52SNxxnAXwvujNktrmtweyB30qEjwdMx1kbMLLtEoY9Xlbi5PVflrrx1VcxeRw+D8voA5FkwGMUOI2XFtvEIVwR0E49uIihokcczAw9Jlvun37EvhOz/LNuXKwJjzPoh+OlAsuhUkiRZUSxJFVpptEqIkxQVu2iZoFWKVAlbJwxKZiR0aEeXyLaR2tJsCp5/1WWtPWiaMFZwcVbxE78wghICi4MSHmO+wNNpf07jsGkrtRkZtrsp00sJjTjBKIiSzC9zYVmy0rGkRrHUttx+YI3b96G2jnUPbDn4vsql6VZz19bynw/wxYVVlGr8mkovvdkFzk+NcfSUYaYBQZhgrAsyazeKY8Nbbmxx75EQpQoUfdMvNgz7RrTOPNObJxIO7ICJMYt2A5xqyj/832p89qslQiMRSoJQWCkx2fhXQNHvFhYKZDbAR4ksjeVJ2z+yFSQDplv3rvNOekW+eo9s1Xc+bth1BuB2dS/fbfOGAZs7+gyuTnF0guPEeF7M1WXDH3+zBNrFkWIQYPbliXhtqXvIy9EbEprp8KwWEMUOP/qOLl98rMvJhTLt1KGYiPxvE7mjMPeN5Dt5+j+rd9LzfsosmJVDBq/ekTk5nVSSaolOVR/oWmmU6s1QcfK0ZJrNUpEGJVKkMrjCIJOUDaWU99ydgEwRwiAUhFbwH/+wzCc+V0GVXXAqjFd8rttk2DwW4blZ61wvAO9ZcHtP/tERwftuaXD39ZYo7i1AMFgj6AQuC6sFWu0x5uZgtX3xze/fPP1rSZr+j/+3DP7ZLz+CENKdn5/lyL4uI0WH5brL7LJmuW7phlkXvMk7bFr1Iq+c1ezZJij6ZlCOzquNSmWtYUU/oVKMiWJFp+tRlhHtFcvKqiTWCiN0Jrxlzs5CDQ4p+6DWEhyRAduV9Ktvjhq89wb86L41lCEvdN6Em3e3DAAu+7LFc3NQazMUUGas7eTs7eoYKSMuzwuWmj5C67xI8toMypB9/ZqBRmI98HJ9HCUOY5WQHRu7nJ4P6aaaIAU/FTiJ7QebKumV082QAU0N3U1iyDMi+9JxEHgOAV0btMqArlWKUr33vIA2VGvoFeeyOkT2efZxkn2PSnGEYWzMUByDjnEQnot0JM0wxVkzFP3sGqhrYhQhwHck+7f6lJ0tnDhn+7I5SyXCUl0yu5Kw3IgpFiJu2H+F069+0zXmtfWe1wB8eeEyQkDQTnj8ksv2DS0O7mxz1zYXaT2W6h6dQNMNM6Z2NJQKllIhwXPycWD0VvJlEb/r9FrCIrROs0my2vLVJ10efqZAYnUWIAonA7d0QKjcgD8EapGDuF9Stn2jUA/Yugfs/mD7zPc8PAtlAO5sa5vrDoHb6fVr9kA+AHrm6ssWPbluTELMV58qsLBUwKkq3J40kXZ9BgVeW+ix6/XxcNEnCLMJtu++q81TrwQ0E5+O1hQSk/2dyaBK2re45inUQQpP5pJTrC+nG9lvROjl4B0tSFOTT9zNga4MiVJ9X08mh1QOdIPsAz9F5KyuVLaN2prs6fbW20PecVvAF54oYq0lSKAVCpTIuo1cJ5Mevf2ePYBHOuXcFZhezBaOGZMtsO2EhsWGRco2E6MhNxw0bB7xWVlLmLp86XUt1esA/twzj+J6pbtPvPrlW1trISOFIo++7HLsbJs927q86cYmh/YKuoFHwcmkAlZiEIRRbyRCb6Fqb2mU6fuvi36E50b4fkwnMHz9iTKXl3xwXJC9QyOEzEY8CPAkmestT731q2uKvve7N7GqD3BJv3M8G5WQSZNeT+JrAN4LOHvA1nYA8DwtOOwld50Y14mYbxiOni+AdtG5PNFDBqVeBVNcg/DMfjDspaafD+/lxOPY4ea9IWO1Lo16kU6iKCpwkuxviVKLSi0qHgY4Gcj7P0gOTaka1v42t0OYwc2lJKk2GaPnTsxMCvWAnvZdmlIaVJqzei5fjFQYm2JkglECEQm2jYe8800dHnyhTDuKaGvNWpjdeEmaVWh7u4R6zejGZl0+wYIFG2diQBoc19CNEvZsC7nvxpi9mzxMUuXRo5q1TkjquLfe/6a33f3NB9/y5Dvefv/rA7zdiegG9nuUsDe1gjW2bza8VZU4eqbCy6c8Tl4K2DgRIkTMfTc3mRyBMBSMlg237LPUGyXagUeaqr5mcvKtDL4X4bshxUIXRMgnHnL58lNlDC5oD6SHkBolMj/EsATRPbYWeaeO7KXKshJy/5EtyW6MoQE/ug/wAXtn3eU99s41t6avt3spwWym3wDcTq6/tY4RxDzwhMdTx8tIT+NKkc3f7jsIr7Gb9kVKn8T7geaAxbNAMzWKbuBwx3Vd3nNPi999oEyUerRTiZ9awoSBxVUMyRQpcxYf/lHDTC4GMsXkq110lqHQ2qJNdp6UkqTKkPby7UrmJq8BsPtBrpE5s6doI0mVQueFuoI2vO+ugBdebfCxbzqEkcOqcDFk25/9xOYuxux8JGnWCLHWjrlhf4fRsiEMLRtGY+67OUFYzZZRB0/XuDRT4uhpmKt3qJZbRBE3kQbfo0Ty5Osy+OLCHMVi6R1PPvHIj7x6usupKyXeeecK1+8DrctM1HwuL2jOXyzQClJOT2WPrTC21Mox99/a4sP3tigXBGGU2Th7K0dcneA6EYVCF6W6fPxBxS///ghXV0rg+aB8hFB4SuSZEHI2HJYhg8BKy/XsrVQGbNVn78HWNN1j7nzYz4DFe+MUrmHuvGfTzdvbHL1emmRHTETMpx6pkFoP1a9eDgeYveBS9DMb6zR4j8X7/acSk6cLs2BTI3D40Fs6fOyrIWsmppv6dFOB06sOp7mTMhEDiYLktd4jOZSxEFg9XM7PPOGpsRhlMFqgUkOqBEkuVZQxqFQO6XGbfU0Ovq5VdnNqkw4szl3YMhLwiz+5hkHwpw9KwqjMqnWJjKCkwNcZMQigmwiME/Gz37/MW29JqZWyxbRKZMNIW50CV+aLXJ5TXJxJOX01ZMeWJvfd5DGz1KTeaP3IPW+679Hpmdlvbt2yeT3Am+2IxOi9CyutPWm8yq5Jn9llj9sONNBKUC4WqVVcNowk1JuCRkdneW9pMVGBV0+WeNsNDTaMyDwSz5sMnBjHifHdAKm7fOohzT/77RFmVyrgF0B7aKnxJRRzE757DbC1HHSbqKHPpRww9QDsYvA1NTToZgjYWolBJmVIbztOrzHZ5sxt+syth9jbcyKOnpecm/WxykFJiSvNwJTUlygDAX5tFoV1Gnwg7XpFnzRVxInDns0xh3e3eeZsgVi5dBOBL8FJLTrJ9KwSNq9o9gJOuV6q9G+o9aPW0lweWQNGgzGK1GRd96mx6DxvLnsgHga5yRk9vwFSIzP93TN7GZkFuV3YOh7wr/9WHWPgkw8ZAlOiYTxCpSgZSzFP5yph2VCR3LxrDJVqmmvZuQgiyYWrmpWGYn7ZcHU+ZmoxZbYluPWIy8xCmbVWHS2ae5SI9zoq+eZrGNyTCziiwERlFaksuzbGbN2Y0o6aCB2xfVMZzxlBKZdKSRHF2TQqAMeRjNcEjZaiWmxT9AM8N8LVMZ4X4rkBqQr5zMMev/Dbo8zWy1AogPJwlaKobN+TrHsBpLoW3FlGplcC74FZDTG2Gga7GoxpG0y06kmToeE/OrMS9IDdr1bmzO3q3pEHlzrGEvOZR4qsrBQQns6klBhMsn2NB6WfImBdinAwNWDg4+6V7ROjiGPN+KjkB+9vcfR8hTD16SiXQpppcS2yzhslQSZ2KCVpAIlYx+SyP2NwXRxgxED7Gpv/Dpm+T3VWeFEyky9p/q6kzBlcDIBuUrQacjH2XY3ZGdhQC/hff2aNNLV8/lspbVOk6/jZzHcrqAqouYYxT/HC8QJjVYXjZE+91OQjJtqGS7Mhc82QrkzxiykvX3DYNRZRLSWcn+4wcWmZMByYC/sAf/qJr6G1ZGZ+jdk1h2p1ld97QHLiykY8R/CWGwJuP5AwWvaoFCSpzbSdluB5lpFyQsnPLatOTMELKfgBKQFnpw2ffbTEf/riKItrJfB9pHLxlKSkLAU16Cpx8oBxnRT5M4Ddmxg7DGylBlOsMvaW2ZFrb1fnA4Ac8gFA5FkSi9MvxQ+alJ2+9s6MXQUv4uRl+PSDZULp9OWJ09fDQx4UBsz9et0wMMTiQ9kUMwRyP9X84NsDPvr1Dq9cLBArh46UuKnJCUAgUzs0Tdfm7sXeGLae+5z+1ov+zEfd20KX3WzaDAxaStm8pS5LFPSAbozIkgdprs1zoGsjMSbFmEHganRvEVgG+olKyK/97Qb7tkZ85tEKl2YqtMIiTesjhaCoBd3QcHEmYmUtGyCq8hNobJae1g584L4ub7opxHNSzl41PPpSmW2THpcunuPS1NI6iaYBTDSFcHYU/+W/+81dM9Nz7N0U8PyrY4RtzU1bwPcEJqowt6LYMp7g6IHXQqvMOloqxFRLAZViQKXUpeB3aAUhv/V5n48/XOHcVJnI8cHz0EpTUFBSFi8/HDUcUA4G9gwfw2vxdA5uOaS/+zMI+8DOP+5p737Bp7cXM+8wz70yjjLZzJC+7u61viX5EaOciHMzmlbkQl+eDOnva8rz/SLP65bqh2TDkCelZ3FNE02SakqO4MCWgFfORaTGo2vcLCcuc799LlUiYfPhPUONwoN9avmHvfUuGb8P5gra/HfIQK567yob56FzgPeBrgTKWJQR+ffkLJ/LlQGwk3UBdKUY8Y8+EvDB+0M+8VCH3/rcGKtdQyMtoIRENrOty81OgueQL7PNKsKOFmwc10gzyfFz4LsplaLhtgOCZ05HXL+nzqG9m3cdeuv/VPzIT/zNzg0HNmcAb67NUyk33n73TSP/+A9OwatrVSZHFPu3y6zptgDjNcNoJaRWjvDdBK3T3A9h8t2VMb4XUvC6NMKAh5+FLz1e5YuP1ah3i+D7KOXgKjFg7V4pXdpBem+YtdcBfDCGbfC5WPfxYCRZDmo1mMPn9Ao+OssYZAxu1g0EGsiTAWs7OsVRufZ2Q1Zbhv/zc2VWuj7Cc3DzgHi4PW3dXBH+7Fc/dWfEULAp1pXuk0RTKWr+zgdaPHy0wkroEklNV0pcKfrnqy+NEpsZr3IxksE4z6RgcnBn1mXbmwprBrq8N/pB5zNqtLFoKTE5sJXJjF6pyefOGIHKXYDGCPTQVIRUD92sRvWDZydxOLg14B98uMO+LTFferzNY6+OsNgs0wpcKh2Br+mPvdMie7oXHMtKM2FmSTFWkZQKmqIvGKsabtltSZKI2bWJfxw8debJNO58sc/gx146j+u5LMzMcnBrwp6tkk1jQd/YL0RKs2so+CEFL8Z14tyTkEVLUhqsSDg/a3n+tOTY2RJfeKrC8lop92NrHKUoSCgog6/y3PZwUUb2ZnTkPYFqwNLDLC7VYBKTVpknej17y2vkSa7ne8ytbH+EWc+n4miTjXbTw134WYpT9zInKivufPIRhxMXCiAdhBxYY5XozdoeaPCeRnm94TnrtlhwTbCZd+KkRhKnmiRxOLKnw/vuafLRr/sY7dGVLp4UmTSSFiUEcX/Od0+P92RKBvKeZ9v2B2mKa54iYJRA53nyHosbBcrmAa2xuTSxQ6AXGGVQ+Q2qjMyZPMvGpEoMYotUZWsfE43nxvzI2wPefUedLz/Z5flzBZ4/VeLqkk8oFSECabJz6wAhkqAraRk4M6uQZJudfQc2jcGGEcuOZJYkfZU4jgYSpRVoCkKz0FA8cypCOB1q1YB2DHQNi2uSrzzp5WDykNLL+MCabGKoMQgMlxcVz54qgHARysUpK1wls9SfMhnbDTe39tN618iRnuzoz/YGJQYaexjUAyZ/PYAPPNR95tZ5dVUNSZPhlKBOc2DnmROVyRPfi6g3DF/+dpnlhg++g5YSd908lmskypAyubaSOSxVhleypMOdODmLx4lmpKL43jd3+NJTASttj0hpOmlPHok8ezMAtZCvI1H6TN5j8966xexn66HMjjZglO2zsTJ5XJTLmVTmAFcZ6NM00+2pFChtUWkObCVJVTbcKVESJzUopYnTbNdpELmUvJgfe3vER97Z4PnTHS4vaCwSYxUmzaSOJWu0UDr7Pb76pMdSPdsYJyzs3ZFyZIdBFCy1EZc0zXS4nps+T7U6uvOVV577OaJ5tk0UOXnO4/jZmHYIsYEgFMwu9zzH2UlKjSBMoBtDEGffZwUUyhkYtSIv2Jh+Tnu9FFkvQ3TOzroH6iH27k+KHQJ2n8nVtSCXg00OegjguS9FD8mSgUQxA9YeArnT094qq1xemhKcvexjcBFS9wtRA/fgcAZFrDdaDe+lZHiQ6PrFT+sCTSMxadZuhtUc3BGxZ1PAyukCNnUzFk/FuoKPSHs/3/Yn764HeX/oRl8aDYLPYXCTSQ+VBXiZDBGkdpDZyrS6GAxaMhYjBdJkwW+aF4yS3CCWqMzQpbRCx7mhK3YIwizWUTLl8A7LkZ2CJFEEkUsQOVlbm5GZWhAGIQwbSopuJIgTSTfQmFQxuypYnV7mrnH352699Z6XTp0+P6VnV1PaSXfj6Wn7jrOXF/i+Nxkuz9Y4NVWi1U2JYostWnZNDMZLZeZ1SzuwNDqWekfQjrNRyJZBblbnZfXXK9Cs+5oaBvJrgS373yNe+3n/PWfu3hOgf9i8XE9fimTSxAyB3AzlugcZE62GgksV89VnypxbLoDrIKXsOxiVeJ3gktdverlWppjXBJw9cA+yKalRRJFm93jEu+/o8PzJIhiHJFV0ReaB0YKhG22oxQ+RL2uwr73BVAb6bJCmHGRXVK7HZfb79YGubCZDpBjMoDE2uwa9ILTH6DL7WmoEKpUkedlfSYlK7PqiUW+tobTYVhZ/BJFDo+VRb7m0u5o4WT9CxMmfLmEsaLXhzJWYS8sJdx9ZYNfm8B0lr71RVaMpPV5N8AspB7dHtPdEaKXYuTmh4Gs6QTaxKknBpEMnJ58712gbrszHpCbN7tg8UB9mst4emPUA7v3bQF/L/1Jg56CW8vUYfABs1dP3/b00vC5z97InWvWmR+VuuJy9HZVQKEY8c0bxxW+X6AYuFDVainy0wlB68JoAc3j67WvRfY3hakimrCv45CCPY021ovn++wK+/lSH5864UHIIjMRN8ydgmj09B+Du+QkHntThbQ123WGyn6syyaItGDkEdEMWQKqsuJcxN0Pgzq+N6c1jtOiedOk3Z8ghH3vva70dQYN1hsYKuqHDwqrPpRlNoz1wsPYTn8aSJFklvRsYFtZSUgEnLmrOXJWUJyzNpkW3WhZjDKt1ydR0BSU1h3Z12TDWpRM4BFF292QbhAevzEwV8sjRmKtLBVzdu5h5TpbeMHrWu95kBoJhYGebGAagl+tYXWZfH2q07QNaiTxluH7Q/Tpwq8y5qPOAMnPL5bvq141262nuwdAgrVJcJyKOUr7+dJGTV4rgOAipcMRgrt/wBKhrWXzdHMVrA8yhys86mWJFP3ececUVqdFEkebQ9oR33tXm5akCYeKSSoeuURnI80rqwCIwxOSpGCB76Hd4LdgNVua/i8yDXjXM5tk1Mj29bRgAvQ/87Jykptd5ZDIiUBaRZEDvnzM5mG0zjB+tDBfm2jxy1EUJkYXIQ3+CsdnEhm5s6YQW3xUc2q7YOApVT6DJpfHhw9epP/j4V3fOXX6GGw52CdKURqfBStuwbRK2ljRJojKHYD62wdGG5Sa8cE7wxOkRohQqXgao10xCEmJQhBgKwqQUQ4UR0f+3AbDXryCRfQaX64AthySJkgNgq2Fwy/xdm/7ohfXaO82B3wN2ljnRKptAe/yy4JtPFeh0HSg5SCHwpF0XLwwPw1zfpiauoYV1ceZgPPTwnL9rCj4mn/gVRQ6VasQ77wr50mMBL1/0QDmEUtJNxVA2J8uZyJ5M6v/Ea0DeA7rKhUrv6SHzd9Ur1AhS2WN1SCV9Bn8t0HtP6KwANXj6WmTS61PtTSUbDFDtz3bPHajlYsSd169xYkZz9GyRtTWNq0X/YWSsIEot5XLMrk0RJlUEaE5PC7aeegZljtPupGhg0779e/4/33r8y0zPJrx6qcaG6iiNKKRYXWSiYoYumEQIcB3J+WmHY6fLVByHDWWD75FvFBue3T1gseHNZ70/rLc6ow/wPxfYw5+LPqDVuvcBuDNQmyyXqgbg7ulwrdI+i2fyJB0q6uQgd2ISm/DAkwUeP17MNlZJlTkHh+XJn1GeH8oUvs5rYJkd1uGDfHSWUel3+xhFahVB1+He6zq8++4OJy77JKmDlZqu0DhpDq5eoGkEIh0eC7Ye5LaP8gHQVf7eb4pWJtPcMgtK0/x8rwO6AiNzoKeDzFeftPJuo96I60GMsB4jPYA7OvPRjI+U+MUfbfLi2Q5npzWum2eHBPlks4TJakLJmaTdqTAx0uWVqYSR0jQO4CnQ//bf/cNppcXP79voPWNjyU+80yJUhBFNfuNLNR57oUjZpc9WPY3pO7B3PBt55jm570MOp6eGLmUf8Ot3wGQDJMU62SKHQDzQ4sPyZHDyhhm0t7Fg8N6TIoOjp8G1SgfsrXpB5eBdqwSlsnz/S1OSTz9SAnpeddVvulD5RNvhv2ndqLZ+kDnMnGIgC4bee6v47PA24VQMZErezpakGms1H3pLl289HfDChayimhhFVwh0msWO6zMpFlL6P7DvD7cW1NAouZyhrbVYmTG4siL7OP9c9hg+P/cZyIekZT4PXZlhWSr6oF4Xo1yjeXtNMkoaglDRDjQFr8TODQkHt6Y582dVdEelFLyYC/MRv/kFhUgMSpbYtsEQRYrzV1XWWLN3cwchJMlYjKTFcsvw7AmfxVWfsvC5Z5+g4A3kwMDzafNBMGKd9FjHTvbaPyB/76346318zYyPAaNfA+zhvHg/Z24Z5M4HE2Z7oFb9Ye+9bpVB50qW7x5Mou2BO2PvhNgkPPpcgVfPF7JEunSyxoY/g73XWWQFDIyyf44XZUimZPMKh7p87KDj3ijZt9JGkebInpB7b8tYvJs6WKEIhZN5RARIAyLtJQSHXF49Jre9tOVgJ6lVg1WNRuZsLm2fwY3NroXJj9516rO5hFQMgC6GZGjv5r828B4ueJE3ngtkfv2d/o0xjCWZX9+ib6iWunz/PV2W6nVePCM5drFIrVrFcT2sMehyUeM5MLvo8syJUVYaUG87VD3F3n1Q8CWuM3jMZOPGMoGf9PYf5oYdGN62xWDP5VA0I4QYWvWX39E9zXYNwNdnVYazLfY10qRXBR0GuOqzd5YtUevAbQa6Owe3GmZvHXNuTvBHXy8Txi4UszY6R+TOwaG4QlzD4n3tvQ7Vr6e/exd2GOi90dFDGZVeVsXmwWbiUPRifvydHR54vMSZmUw6pUYRCJVJlXX5eAtpHnSmQz+8X9G0WcNvL7CUWR7c2J7npAd4OwC4yGoRvc+lgFQNrU7PgZ72z5HIAd7zMw666nu23d4GNstgc3K2KSLrtu9hjTxWc7Wm6FeYHCkyUY644xAsrApOzwlWmnlfbqfwkQ0rjbP/Sxw/w51HsgVImR86zgsjGXCEyIKQOJU0O5q1lqSbpxHj/rLPXnOo6S8iyrYW94KaIWYTA8YeBvhAl78OsFU+nH3YQruOxXttVrnuVuszJrqvxU0/S6JViu7NEx/KfUc24fOPlHjpXCFr9xEaOdSWpofkybXuweG443Xp+1rt28+i9NaVZ9rbGjNohjAqd+vlefHA4eZ9XT7wlja//qcuXaPBOMRC9qWKFOsZvPc+kEYZqHuaW0mLlbkGH7oBe+DOGDz7PiMzuTIAeFZW75FTD9ivPT9inQgYbF5jaOt1hqckzVa4dMOURhsa3WwkYHZ/2Lx7K+/UUg5aQxgaSuWYn/uhN/wvd9164G/pK3NXaiurjXetzje57VBCoZxgLIQIQmsQce5cyAOfOBZsHFVsHCszt1yk3dGEicgZPdtuHMWKOM6mWmV3nR0sjxpa2Npb1tr7eHjcwrB5qcfS/bx6n8GHAT68uiRnbmlR2uQAHmLuYb2dD8gfsHfWsXN2RvKJh4sgdf9w8ra0YVus7KVEeR2QXyvDhRgAe+gi9wE3tI+oJ1WsuabwYxQmVaRSY1PND93f4QuPFjg17YCMsEISCifLh18D8n5OfGibV38PqeoVUoZlisDkKT8jrwG36Dn97JBcEdfo7j/bPjy8FSJJshF/UWyI42xrc5LmA4ACw3zdov2QsYmYbixzlu/dsBAjiC2YVFAowL5tXcruzLtmZ9Ka3jnWpWQCzp6w/N6Xy7hKECSWbgxJYtaxsLGWKDK86YaQH39nm9GKg5L5Jq1EEiWCIJJ0AkEgBCQCmViMHAb4sCwZiq6HCkDyGjky+NoA2IOABrQ0fXbvNcoOy5PhQ+W6W+VFnWHmVirBUTGpTPjKkyVOncu1t3AQQubyxL5+Y4MckihDikS8DoMPZy/6AWfvMIO56IOcuBhi8oE7L4o1h/aGvPfuDhc+4ROl2ZiNVCi6QmZxQtojFZv/cr0g0677FcjThD0pbGzeK6nIAsu8mGOG0qLG5sytQBp7jcTMPzfXuCsHMTY2n18ZJYYwzJg6jAxxkssSA80OWJ3w4Xe0uPf6iCBSQ91P+ZiNWBHG2aRaRyVMzThcmHFYbCn0rk0xEyWDihzW2i6NlmK1AY1OtmY5ypnYDjWHJEGVV84K9mwxVEsxYPPd64pWN5sZlxn2wUoQvRUk/UxDT6IMVTvl+kdaH8RiwNiyz57DDD4otvRAPdjRk68zyVlcqSGPd1+eDIFcZwuqLswp/tPnKwQyH2EhNSpPDfZyzYPWNHsNi4tr2EoAr6NScuDbYR28znz1Ok0QZngDRmY99dKY//H9bT73aJELs725MopEuHRFFuQhhgLNHNw9Ju/nwS2Dbvs8wDR9WZKD22bBazoE8gzEg1y3EMNMPvh4XQYlPwUDBjd0gpRGO6UTWKKhqqWrBfs2ezhmE6cu2D55GCPyibSCTiBotGC1aWl0UuZXQg4c0UxMKvTxi0Xq9Q6vnIRNGxvcejjFpGVWGx7Law6dIAsojclYwFGCchEmRxKKhZhyIcb3UqQwJKlkZc0nCIvZEHszuOCQs92w9LjmUd8D8eDRZvtaWw4DWwwAPWBzM5AqPWD352n3NPdwMSftb4NQMkWprLDTCC2/+6UyM4tePp9FD9h7+Pe+JiV4bQf9umE2ryfBewHmkEzpLQa0/ZTh6wPd9PzVRpGkDlsmQn76+1r86kddGpEGEYNQRELTyduQ5Tp50tPioqfI141R691gKv9c5p/LnMVlLqGGn7Smx+ASpLXIvPNHmN4+oaFsm2QgmHLgR4llrm5ZaWVxnpRQcCwV37Kyajl6UlAqKLQezD+MkmwQ1XLDsNpOSAm5ZX/Mzs2CvXtTxsdS9IbRhDQyOFJz6Yrm8Ze7/NBbF7l5r0OnW6bZ9ojizJ+gZNbeVS7GjFQCqqUuBT9gtWkwGFIJFxZqnLviIqzsZ0x6OdLXMPY6OTLcNGCHGOJaSWL7/z4A+LAGz30Oqsfa6+XJ4PP10kTLBO0lfPYBj9/5dJkw1dmUTqmRQ9sOhvdJvl7Xzjp5wvpd7/xZQGd9RXPYfDVIGQ76HM1w14/ReDrmZz7Y5uyUyx98RecpL4kVghCF6qvVXKYMvQ+C2x6w6QPbGEhVr0qZkYyRA0aXZqDR+/t8hM2cnmIA+Eze5Deu6AWn2b9rLfAczWg1xLhN5k5LQpO5B6eXHIqOZL5hGVlOqBSyS6JE9ntGiaURQCuKufFAiw+/JWV2vsrSqqXVEaRCotuBZbWZstppUy0rls6X+egDmmMHmvzku+fYNO4RhBrIAjbPjbm6CK9eNnhejFQpn36kyNJaNrp4YaHIpJeyb2tMoaBxHdl31vVtseuyI4Mxw+uALIYA3b8B8q+r9UadgUwx60Cueowth/T3EIsr2WPxrGq5WofPPVykHmUTa3sj5GSuvYcbG8QQi78W7OJ1tffrgbuvwdexaK+6mevxa4CthjMr+azvqpvy/rd2+MITRVZaKmfxbChTgBxsmsgZ3PbBPeyFsYMAt3d9rM3y3HlpXlqbpw1zkPYyJ72nqhQZw4shCSOzm0jazIdih6Sc40C5AAd2wNvuCPnAcgelYxYb8NlHSljp4DqK2SWHE7MOvpM1PYOgG0OxGPBT72lzyx6Hsl/i/JWQWi2mWjUoD/TOjYaCsly+6DOz7HPrHkmcVrlwRfLIy3VmFg3t0EOqbCKU62qOnXV55ZyHlBKkotHWaKuo+rB11FArZeubrc0NNP1q46BbZ71t1iLVIEsyAPafA/R172YI6IOhND0G7y2nWg/upA9uLWP+r/beO06y9C7v/b7nPflU7jw5z+xsmM2r1SZFlLMQ2NhkMBa2r31twBhjYy7GFjYGyyAMRgQJFFdxpZVWu5I2593ZMBtmJ+fQuSue+N4/3nOqqntmgwRCwL3n86lPd1d3V1dXPed3fuH5PY/px9x6l8cjezwtySzNPD0RefReceUpJoVikGUvx7M47+fDnZNhUDMUuTOK6D3UPiyieDaI6Gmml7+NzMRUKddcGPLWqzr8xa2WfqEznZwkwqKbreiiIHJ2oViWlmRKp4BFNDdygpXulpC3BYuissizB2llVgSt/sBHv9861REolWGSi6symEIvtmxKXoOLNziUgy5CRNx0YYwwIqSR8cQByRP7LWw75/mbKb0o4eS0Yutkg0PHxkhSaJQi9h1PWEgtShWBeefTLp2mQ6VkcNXOlDAS+G5CpbzER+8occs9DWxpEjgCxxTYpoFnw7pa7uCQwrgLjkzxbUXZ1xYgphTL/snB8kFBysrJSnI4z1Ya/GJFSjJUXA7f+sAWQ/et4BkXacmwA5tOTfK2oJEXlsckH7s14EzLzjsnWgxUCoEtdHpi5BPM80Xu86Us/Tbhi/TBhwa/fe+yQUSlD/ICeKoPcr0IkRkZaSqRho7i40HKj721xf1POxycNnTRIDTqYiSdYXCj9ImU5+LZcJpSRGGlI3RWnNRKA7sAuo7eRRTX30+Hc/OhAVGWMz71/63JVpksvEKhGxrMLDiEsYHnuNhWijTQTtiJwaqqYuO12tHOtWM8t4frpHz+Xvjtm10aTkbgZPQSwdoxxQ1Xh0yO9zDXjCqScsqprM2pBbjxEjg9H/GJuwTPHhjhglUOI4GilHu1O5bWFVEKmp2U+VZKkuj9SNcW+K6RTz+Nvr/6YOFA9UEuh4BdyAD3i8ciIsjl4DX60SEbnBD972VDqUraz8OlkeaWH9myXndxs6yEMM34w89WuHe3l1e6Zr+4NAX5Wtqgp7xyeLFymLMM2GLoznMwPkRpWFl0DkXwlaa4Oh/PyDIj1yEpUhXJ9ZdF/MwHmvzaH1qESQ7wvMcTY/RBXsi4FX/HNDTgNdFLv9a6DagnjVIMgJwWwC6uamK4xspz9Zwv1L8SGIMlC4Um8MWJZoaGkaAjDQxhag2UyMA0FXFsMLekhfUVWobPtTM8J6PsJ9TLPS5ct8QPv2GWm7+dcuiMzXW7eiyGcOiUIDUk5vSioN2UnDwVsG294tT8En9+u8VTz5dYO2IxVTeoBAaBL/FdzUvxHEXgZZyejXngaT2W9YaMUz1H4uYeN05eqw2ITgyGMf0IvqLd1wfvUNTOCzyx7PNsefQ2svwqUMj9DkVuI8sj9iDvlkaC5STc+ZjNl+7xCUMLvEGrTYjBOlhBYDLOE52XTeleJu9eGcWX5eBD4B4uAJcVnOrc3niaSYzcSc3zEt59Q5c77u3yzUdzPkP/2VokeSQvyFWa6JUvGatCSEh/roGdR+IcxKLopAyDvX/FHQx3MjUAeprXXipT/Zqiz2YQBUtVAAZpZpKkBr6bkmYZT+2POD0rKbng2Dp4eo5WGqiWHKZGHW7YuYjvtPj41wPCXsCGsZTVY4rRaopZ9zNUTyda7Tjki/c4nD1T4pqtJuMNSb1iUC0pyn5Gydca3/Vyj7lWl88/4DK75DNVA98V+K7M/dwlriWwc3cy2wTTKkhPLO9X97c7BsWjIVYCXS0D+rC78bLviwGoxXCKksv8FuA2DQ1u04pZbCluvc/jhdM22MPa5HpQMsw7GXCthznM9IvoZS3C4a7KuUF+SKNwJeGqKAA5P7iLQVBmaJOpzFjWPowjk22TMW+9vsMjzzsshfk/oYSWRhEQZ4ZOS4QgQ2EZ2obbVLrWSJXe0i822qWh9Og9H9qk/Q7YUBTPIO0DHdJi2lkMiHLO/mBzKRuiCYPKp7VJbgQsDcXkaJdrds3zPz9fYWHRYzSAigeBKyh5BpXA5NSMy8lph7WTHd5zfYfnjnT0JD4SujbcvLpHu93lvj0xa0/XmKgavHaXwVgd6pWUaqlH2Q+pBD1SFdEKI769R/CFe8oszHusrgl8L9eo8KS233OE1tkuVsSsIvceIkGt6FsbQy24IjoPA32ZbfcQwAv3tf7PGIXN4ECcvQ/wPHIbhl5Jy1TGx7/m83++WEJRWKMMorc1lHsPX36Hp5YM5dhixef9lOXFuCgvEtWL/vf5IvuyFEUJUmUg1YCrkqQmhkz52Xd1OHDS4v98sUKc5FWyITRtVlokmW4jZuhFYjtPSVKhcomI4qTWXy8bahV5dpanMPmyRwH04TXFzCiWJdSQYtaAp5RlKpeMU7kLnL5qSSFptW22rnL4jz8+wxfutXjg2TKnZ2xEalDxDCpuStU3qJUlB44HjDc8Xn1BxFhtmrNhxvQpE1OphHXjCT/xpkx7rgdacNJ1YmqVLkfPxNy/2yDwM/afMLn9kREsw6FiGWwYgZGqQa1k5imMgWsXalGFn8xgZUzm/BBTZv3UxBxOS2RhqrQ8gotlwM76YBdD9w1bDfZF2vsRPe3rWEtDF5amlbD/tORLd/u0W6ZOTQqXiXyxY/m2vGIoMK/gnwy3BcWKtPvleoUrCVcDmvFg6FO0C5dbdRfRPMsMMqMAeUYSS0pBzLtu7HDbfR4HTsm8eZxffjJAmKRC0kMQC0GkckVfoeUjimmtFHrPsmB+9mcZ2YBBKXNabCKGWr15qmLmjYPCIlCmmnUoZT7FTFOSJCOODSLTIIoNokSP4DPlEqcjTI64fPDtbf7Fu2f5xqOCF046+L7g2QMWe0961DuSk/NgHxWUfIMwa3DhTovRRoo5260ws9TjsX2CmWabNeNtTs5IZpsOfuAzOy84dtLCsU1KrsHGuqLsQsUXlANJ2TcpBwa+K3CdnIk4XEQO01eLqC2Xt/SG23wrC8dlHpliEMkL0IsVoNef59JyIh0CfAFuPdzpxXDHQy7f3u3q1Y9hy5S8uLRYmZasGOqc0zEZSDWcu672Umm4YBDS80caHvoMgb0A6fJobgw+zwwyQ5KGKa+7LOJ113Q5fqskLGRRCsqF0D1AlUkSIUiFIFbFVSsfauWjfnPoNehPlMUg3y7ArkEtBpF/2UJEvvEj87QlhSRPZ6IheoUdCXqhtlTsRQbtnsN806QaBJT8mGt3RPzA5SGu0+PQ6YjTCwmVIKbZSjk1a7BqxOLwKZ+JSUG9LjH3zW9ePHlS3XZmofbOhfmIk6cDrFzwPEoE4y6s36FywUqtJOQ5Bp4rCTxB4EHgKlxHOyGYOegQAxuT4WGMKVcMYwpPyX70HhSOfT96QT9lKdyO+wBHLf+8/zt5FDe0MldhoiRlgrAz7n/M5UN/XibNZD6DX56eDKSQz+V69/vfQzn28inmy0ftlV+e0x9nOLIPDYDI++SsyM+LKK60YE6aSiyZ8W9/vMkLx03uecQgs3OE9sGuQGQgJEoYJAjSfCBUgLt/YwB0mS2vS5bVKEVXrFgsF8MzD6U3jmTx/aHVNYohnuafOHbKUsdgoSkJXAPfc/AcG9cOtFCq1N2UmpNiqRS/mrJmRBFGeih3+WXytg1bGovm6ac/c9YxxX9ePWK+01QZ68ctSh6DmX9/EUSzxvQfV3gO+E6C76Z4Topjp0ip37nCizHrc1EGy6TDUVtKhewDcQD2IgL3o7LQOfkgemd9mYEC1Lp9N5AfMIwcCoWPjBgYKB2blfzRlwKOnLTBXV5YgoEByxd4VwJ9uGgcBro4Nyl5sa5Kf4vlvN8oOiliOT9l+JYZZEY29LkGuTLy4lNIkjhlw1TCz76zzaHDJkfn7cET6oO7WP3JGStikJvHQpNsC5JU0UkyhwKAmStqDU6GfLt+KF0xxUC/PTEUZt55EYa+kGRAkmshonLRKFPjynMSXFvmdZ02LZCG3vpRCFDabMEyNUdqzVhIlEm+8s0D/1l+a/9ZM3D1q7xqNGPX5pitazt4TooBxKlJN7Rodizi3MpNC1emBG5Kyde+O76jvXcMIyNOTBZbHs2OQ5xo5rxYFr2Hp4tqRb68IscW2UBSoPCpzwENajnI+z+DBnb/RCgeX0fwxFZ87JaAL9/poRyDwsVtkJ6IAVuQ8wxwhlIVVkTwPqCLXPyVtAyHp5hD0ZvzRe/hr4dz9BWiQdovJ8NQEtXLeM9rujx3yOS3PmoSiVRH7+IPGAXlM68qxFBbUQiUMEjzr5Mc8AUdwcgjvTkc5Ys8Pv8o8zx84NKhlbNkvkQD2hB2viuY7yriNNXMTVNSsqDsQMVLCZxCwEnXOGECS11BK4Ik01d3x5ZsmYLt6ww8RwuGmmcXZR61UprtlMNnElKl6CSCZjdk55pF3nyVSZo6KAWek1L2I3pRxEInIcwim9FFdQAAYXxJREFU/uJrDmcX9ULumtGUN1/Zw7EszUDs87ULgtMQwPu58SBqDwCeg1MMg3cQuWGgfy1WfK7fmwHIi5QFE+581OXPbvXpJXIw6RuUjAgGl90X25BfFsFZSY996cj9Ivg+F/BD9xc8bc4XyVVhR1ioxuYFqCHIlERkGa6d8ONv7fDgUzbffNzVjyXyCJ7KcwuL4TJ5Wc9TR02VnwSpMHSU70d6nXposzAt0F+wMIubaWgpZv25xkcvFvhBxLtfP8ea0RghFGcWJZ/9domeYXFmziEOTcou+I4+L2OV8pZr59myGpbaFkmie+gikzTKOpqnqcI8Ma85DWXPYLJssbDos9AsBFVSnj+guPqCM1yxHdpdePBZkyPTBvtOmjz4VIkYrUAklYFvwUhF4QjBqy8Umn9tFAZOybLl3uE2Xr8gLAB5TjqS5flZYVOYLQOQLsiGdzxysIs8WzUUwoRWV/KfP1ri0EkLZRb9vuFbfinuF1Tn0TopZuzDBedf13EOsAdDH/puCSvy84InqIZSGXLAZxqMWSLYtCrh3/9UiweftWl1U/pKmyJvjq8cxWYMePwsPwGUzPtIOdB1WmOQCX0ljIVeeNG1jOgb5DpC4EiFrXRfHHR7suIprr5I8LYrSoxWYhwnAhHztivnUSLhnqct9p+wODxt89iegLBncvGOJu+7IWZxcYy2bxJGBvNNg7lWSMmPGK/FxAmYl+9okGFischUeYmKL1hqS3qhfvKeZ3B8WvHfPusRZR5HTvnML9o4lsQ2DAIbNtWg5CrKnkGjYmIiWWjFNCoa0I6l+R6FDLFp5oah/aFM1o/YOi3JQCiyHOAYijSCfUelztOGiBxZBmP1jNExDX6Z0z2Hw6KQEMUGv/+5gCeed7QkTr+ZXURwox+N5TJArxjWnO8+lmPjO8b8UNoxDODBCby88ESdm5dn6jzpijJygpMupi7dEfHB97f53U+ViBI0eaT/RwVWzvgThmJkPGOslvWXyfX/JohTwaFjJlmU9wvRwE6Ezv8Hebx+jVNDEglJxzCwDIGXGfiZIjN1CuiYSpPzYo+n95UZq6WUg4SSF1P2Qzw34r3XhrhOyFyzy+HTC2QkfOJbFf7XzWMEhgNoH83FTobrQr1Wxw8CwijDfPW1ryMIyux5djf3PrCXcsVi16Y2V29PMCXsPZ7ybz86yYmzZaqepOooNtbBdxS+o/By/kngGpR8SaMqGakWbgkZjpX0LQQdJ9LLzDkPO8kyml1FqoqoqLsps0uCbz3ocGZOamKWFMwsSj53u0s7XJ7bpjHs2h5z4+URlpmxdiLlLTf2GCtlejysQDhw1wMOf3qzz1LH0P2/IVAPh+g+36T47rAU3RCI+x+Ho/kKlH8nacqyL5aN6ouFhGLwM+ig0B/lr4j4xQ0G0TzNqHoZP/X+No8/a3HHAy44GuBSwFgp46039VgzkWDJjBsuj7l0e0wWL/8n2pHgc3e4zCzopQRpCs7MSb79oMvsksSQg3QmVQaLXUmUmijDJDRsQmnSsySJ0hRb29KkvfnFjMMSFtsWlcCi5DoEnofnamscz40J3IgL14WUgw7rxtv8+4867D4SY8mMSzZHXHOpdmf+gdfdyNYtl9LttDBHqg6lwGak7LGwUGbPAYs9ey1u9lOWIsHMvEHccbhgAspORuCgSVe2TuRdW+K5BoFnUPahVspoVCPKQUTghvhuYWnSJU5DZtsZzx8yMKTgwAmHz37bZW5JuxkXKUInMjh03CTu5joE+QuW9B2FxAANKuO+ZxweeEpBlmIHKdfeFvKT7+iyZU3KRdtijh2UfOQzPgdmZK6oeh40Do1lzptrr0hRzzexXHmVp/8450H6UMG4/O7hnngB3Bzw/d8TQwVp0Tcf/A/Lx/9DnZhUsWkk44MfaHP0tMGxs5KLtiVsXp3yU2/vcO1FEbaf6ZX4xEBl2hxp+Dn5JvzT94aoohYyFGFPcOQdTbqRQa6ujZQw1zT47Ldc9h83EVLywiGXxbZLs+szlzgoZWAYGbYES6YoQrqhyZIvCTxDE/dsE89VeI62g/fdhJJfplbq8Kv/KOTMfEovtCg5NiXXYe+RmFbbpd1z6fRiTFMaCCEp+xmbV0VsnHIxjYAXjil6cykVAWsmlLYycaXugTsGbv8mdDR3M8q+vrxUgpBqqUej2qIctAjjHo/th1vu8dl/0uHWhwOiOC9usuE3dKgVIQF/uLJnRQGE3lpVmXbYNVNQCUmU8M1HDL75sMOGyYR//Y86PHVQ8tU7HdKiWTsM3RWPORypX4xLMgze5ZF6+c7hK47a5wHy+RiGw2pYeaU4uI8Vac3KZEnHAqSlePtrIs7Mdnj6kMkv/KM2GyYTTYSKBWnXJM3MfCqq2YrFVaP/OsR5yZvXOKah2L6umH+oof8HbtjZRQhFlMJtD1scOCm55Z4STx4pM9sqEyU2qVKkWUaUZHR6MaVOms9ajJz6oW++Y+K7GYGXMue5lIKE0RIcbTk8ckBiyoyFTpfNXQuBJMtMTCkl0nLPeK64vTFSfeOxMyENzwAD6oGi5AnKvkngSfzirHLAs8F1Mzw70/1KNyVwY8p+RKPaoV5p0Y263P+s4huPlvjivVUOnQwAE+EaGObgDVPD2adSGmYrwqbgXOSoQkBPZZDFkEX65w0gVpw4I3niBZPrL4t4/JmYx/baKxC8/DgnaqvlIO+D+3y//3KoXo6184B7JfqLfclBABhKl4cEe5Y/4CBFOc8fzvOuJ/aaPLDH4sbLtFUkqSKLBWlqkaQmaWoNQD50FSieFctasUPGhPnGPn35C6N/0hpC8ZZrUgyR8I5XL/Kl+zp849EWj++rcWimxJIvGY0yqj2lAW6nOLZmp7r2AOh+P1swqQQ6oCpCkhQcO6RUbhAl5u2+555pd3qYW7dsYe9Tf3xkzbj1e5OTo2/cvfc4rpVyYi6m5jiM1y1qFZNKICj5SudDToZrp7hugmenVIKIwIvwnBDH7nLoVMT9zysefNbnlodqHDldwpQW5aqh7a7z9yRVWjQ/Ufqm+u+WWAa4/oLBChyloC0+MkUm5AAMSYotBe+4PuTf/FibHZsTJkYyfvl/lXnqoM5JB4XqOY26/v0rJSDOm4KsuL0cuF/uGF5jO/eEOB94h1OToUgrBv+fQM8iMODJfRa/+pESt93p8tBTCdVKyjte3UVi9JeY48TOgZ5H8f7fKLbaB63Zga53/veKAheh7UfykwRgsaUwzZTxaswH3xnyjmuX+PrDHR54JuC5k2X2nwjwpYVvCyqOouYrPFuD3bUErqOn6L4nqQSSRsUk8GLWTC5w4FSFsgclf5S9R1u/98Jf3H7kX/3sP9AePb0wRQgD385Y3YjohoKxisVU3WbNhMloTVErx5T9WG/7lCIqQYhrR9hmxKHTGbOtmKyVcudTFl++t8qB0yVaXQ+JxWRV4ZlgG3pLQ6BJ9HEKUSqIMohV4RCh35Q+70HojfBhkBdHBsSZoJcJOqkkxgaVQBoxNZryE+9ps2NThOoK3vKqHiqDn/r1GqcXZd5BGHpjVoBqJT5fCux/1eN8E0113i/EUIoiVjzGQAexSBOKARhkGAacXpD88u+Xue1+FzzB3gM2f/r5gCsviFjfgDCUJKlNFNvEsZUvNRv99uTwYw6Duxi29U8ypcX7k3wJQ0+19WMYhmKpleFYMY1yxD9+Y4/33dji4JkWX7zX4c6nSqTKJkstnjnhIKWBaxlUfEHNzyjbCSU3pVoyaHdNpGEzmVTx3ZjTcwo3VVTqEVkaA7kJ1foNOyn5LsfPmmScwJEWF29wWD2uWD/ZY7TWxXe7OHaPwO/y2AvwxIMmlq3HrV95wKe5ZJEZJsfnHDodm8A2mCwpAjvDldo2ROakNoUWCwoTQS+GXgJRrrdR4K3QGV9G01zRrVBo2qWfCaxYsKBMktigVkn55/+wyY27QtKOgEy3v37gyh5vv7HHn3/VJFZZfoqsZGa/PHKX5eDD956/lnzF58N5gveK+9SL/lYxFVyeTw1oC1Em+PLdHnc84mlitiHAh7uf8Phfn4j59z/axjYN4tgijBzCSFukZNlwejIE6j43P+sDvjgypT12otgkjCzCWJIketm4T6oyU5Y6KZ7jU/IiLl4XsvG9Mf/wtYsYMmW2aXDr/R4YAtMS7N7v8vjzHiXXwjVNqnbGaDlmsSWZWfBzC8uQTRvXMLb6IpK4OwB4dXQc2HbH7Q/f+6FT894v7dqQcdn2FiO1JY5MJ5xuRdz/INz7tEfgexyfsTg1Y+GYurcZRgZCGUgD6hasGlG4VopjqnyjZyCvbBi6Jxul0O7pNyXNt7ylEv03a3j3seA2FAA3VuSzSap16sLMIBWKn333Ej/97g6uMIkjQ7/Jmd7N/JWfXuLgSZM7H/XJjDx/H44+vGggPw/Ixfm/Ic759CUgPlRkn4eENSgil42wXuIUGXJK0HNNMBX3PO7wXz5aIVHDvHdBK1X88eclYzXFB9+riBOLds+hF9pa1bZ4T4ZJbaJYdMj6zM/hKJ4pQZJKwsik2bZpdU2ixMj1D7W0tWVpZzvHTllsJZqibaeMlhNMmTFeTtnwLoVppFhmzMm5hBMzbUpBwn1PW9y7p4QyTB7abzF62uXSTZLrLjVYP3HkQ+6OH7kjPnN0AHAhtvOnH/2lziVrxOHeUsajh2IWwhBUylceDIjSut4gSfIVNCnYXFtObC92UQpGmCUFtimwLf1R88O1A5pAEMcZ02S0enkpJQb8j4GHz5AX+5DK1XA01y8oOBG044ypTW3ef32Ek/l0Y5m/GZqHAjGrRxJ+9C0dHtjj0E2LSncQwZdPQ18M2C//ffFd/fZKvC4H/3nJWcOnkGA5uIvoHQo+9jWf4zOW3v4uFLuEbgM2Y49P3SW48bIFxss2S01fS6SpwWm8fNFEnYcoN6BZ6HdY9/GbHZOz8zZRrJ+caYBlqRzcGY6VYVtWrjimBlciWPb3TJmxeUJPxN93Xcp7Xh2TZl1ufdAmzhI2jUXMdso8cV9y2HzgP3Z+/d/++gDgAG/+gfcQ+C6JvI+ZO/dw4mSVxVaZDXU1BDgGmxu5FjZqSOI2N6qSQi+IaoAbOJaBbevP7Xxp2bYUwUyH/bMZS6GJY+baI8ZKr/oBt3hYT6UwPSoI+CAYawj+yXsz1ozWmFtES0fkEhGmmQBgJ4o3XdPjih0R9z5pabIRWX9cOKzw+kpi+Uu1Ec/F87kp0CAFKYY75/mz6mWeixh6lGXkswzDzHjkKZtvPOiRSBOkBYYNho0wLAxDYDmK/ad9/sNHy/z8223S1NMA6y+FD8vjFXTn3J5EGkgjI8v1IQtCneOmxGnCoVM2x89Y+U5uHvAsA8c2cCyFa2ea/mpq4p1CkCRali3JdD67fAF9uXTIhWthoaVotVtMrL+IS655HUnc5ddZAfBadQTX9xmtO1ywvsdEDY6dDkgzA1MqokRL3CqG5bf0uxjFinY3pRumpKlWNuqD2zb0jqY9WFj23ZSxWsJrr5zhRFfw9UdGaQiBna+2DUxiBzrghT2gNER+EmhmmWnqv+W5kqkxE6kmOTndIfBCTRGwYizTyCOcIkkz6tWYf/D6Dvc97uWtxgGqXkl6shLNf618lPOA/5X81DJeTD4VFjnB7JPf8plbyAVFDA1wIW1cKSibisCEigMyCnjgKYepMYnvKByrMO4aCJlKaWh9mSx3TcsyTKndH0BrpDgyw3V63L0n5ePf8pkMDEar5INBjQc9KBQ4tsS1c4BLvbLW6QnaXbSFJcUVRHNbFJCliijW/06awbGZiJKbMLLWZbQxSthr91+dPsBdT4CUB+p19+B8t7JpoRmza0vIZCNmelGSJA7trqmLwKGIakodAQ+fVBw9LbCkwLLy5rwt8RyB74LvZvhuRslLqJRipkZbuM4iUgWkmf4nChvvvu2fMXBNk0ZuW51TJq1cF9rO/1bJNyl50OxYuLbmJwxYeMOFkTZ53bAmZnIi4dRsHsXzXHy41aZeBmGvCNcvgf7hBs5KyPa7buf9u8sahyuAXuTIWnT01GnJ4WMWqVHIYdgIaeFKQcVUlC1Fyc6o+oqyJ2h1UmYXJbFv4DoKx1aD3VopME2VOxjnymGZWNaMklK3FaWRIc2YM82UdhvCOKPiZflyeorrSHr54DBytOSIben08/RcypFTCYKBOFShzKWATpiRZBHTC5KJhuTCjRHlkg+Gd1AY1gEl5LkAF9YW9j/zudtXj5Q/sXbVyL9/+KkT1GcWEWbE3qMel202aJQTZL5PaRpam8KxQxZ7EY/srdDuetTK+baPK/W2j6coeSmBp/njZT9ivNFhoj7PX3wr487dFVxh4Obe8Xrljf5N23MPRey+4LnAsgWupbf4A1e/QEoJLacbmQP+ef8myQwJymDXjpjLtkScOuOAPZyDv3zkFJznh8R5vn5lIXgFRF/+e+pFT5r+UF7XQ1bG7gM2Tz3nkFLk3hIpDDyp8KTCNRWuRd8GMk4U3V6KNMyBLqKlU9DUUliZIpWQmnpxQUtr06cKGCIjkpJMWbx2V4e3Xj3HJ77hEiUWk5WUipcRhArfy3I9cJl3azS3ZaSSMtJocseTCc22h2salL2Bu7Jl6H3fyy5o88xRwZrJhLFaSmpuB6PxiQcfuuf2H/3AO84FOMBi28PLvK9JjHc4ttr19Ucsam6NC9aa1MshG1bN47paSss0Mo6eVdy1x+S+Z0scPmyyfkRhWXraVA6gEuTjez+mHERUSyH1cptUNfnsvRkf+coozThg0lf4lmaW2WYB7mGveZErYw0it5Xn806+7WHbOr0B1ZcfiBMDy5TIXP1JylyVNZXU7ITXXdnjG48GJFlWKE4uW/7tR9OXRPpKGBov8f3zA1e9xPdeyS+IocHLgLSWEYfwrUdd5qMhrRdDOyO7BtrxuVj8zp9rkirCOMMMUwSy/3pYeW2SmWj5ZlX42CuGuelgIgxYarvUygk/89Y2YXSS258YY/+8x0QEjSijFGfEsT6hskwhMHEsnfdesyOlXlng3uea3P9UwIHDbr8e8CzBhnEbx6jzw68JKZdmOXTCQ0rvyTXj5a+FUXfZa7MM4Fdc/Vb+5I9+5X7fEo9dsC7e5RsuGyZNxkY6fP3xHqOHwJAGUaIv5/c8XeLpA2WM2GXbBHp3zjEoeVAtpdRKOh2plnrUSl0a1SYn57p8+Gafrz/aYKlXYtIX1NwMz1I41hC4C6k3YwDufvQ2jQHALZ2723meWBScA5/JgVPZsGNZ4AuuvCDCtlOSaNCiUOfH0Lkckxcb9788pl/5oV7mmytrgaHNJkMowhgee86mG0qNaCERQivlFjaIfaVc6Ms5JElGFGvRzIIHNOwCp0Gd9TVOVK58m2UMVLjy9bN144L/9JMtrnu8x29/ZpSD01XasWQ0zogT7eYAOse2LUGra9Dq+NxwYcR1Fy7w9JUt7t9joZTuq2NYjFbhicMVzsx7rJsa49RiSiUIH7vz7m/c/2v//j+9OMABmtkmwKDiddmwusVss8X9z0mW2hU8WzLXytg/o2hGYCmDyUCwbjxjrGZQKZlUSga1kqJeTmhUQmrlLqP1Fp63yF98Q/LxO0bZf7KGZ1isqyrKdoZn5+JAQ17zUg6+Nk2BmYt/mlLn3QXA7fzyapoD/ZR+wag4R7BS5ZM5lRnEEaSJnvT1BbkZ9DpeCl/iRT5+VyBeeVadrx9+nmcgzgnl+qdFvuxhmiCtoiOgAa53KosteNUnaxZ5f5obPsUy6xd2w0IYSimUObzsPKRtIiFODeJEuy5EiaQXmzQqNu++us0l68/wsTuafOq2cZqhx+rcqkSRIoR+v3XRaWMYVVaPSa7bucR1F/bohiZHT1eYXXTw3Jgda0OeOxKx77hFpTLCa6+ZJE2zc16lcwD+hte+ASlldPs35tl/Yh9l1+eqrYJ6RZFkgoMnFUfvS8hih6kaTFVTGmWDWtmkVpbUy4p6JaZRDRmrtZkYWeS5ox3+7A6frz48StjxmCzpsWtgK1xLR+XCyrsv2Cm0k5YpwTSNfsfEMg1M08AyjVwSLi9Kh+SXBzYZy6XPlkktZIKNq1Nee1nE1x/0Bq9EjpnB+OdljmHGYX/As2Kz6DzwVy/y9UAT5aXmlssxfb5Hl6biGw/bHD5p9hcTQIvhyyIwr/hFrblC39VMD3IEQgxeVFVIL2OwzM8nEySpfu9CoZCRQTc09a1nUQ5cNo63+YX3tdm1/jh/ekedvQcb9BKtZSHQu5i6KyaxTBtT+iilmBrL6IQxjzxncPC4JE5NamWoVTI2rYpYu26Uq65+c5QkycsDfPXkCNVK8IuPT2y9YN3SiZtGS7NYVkonjLnr6TLX7LD5ybct8rE7KgTSoR4IahWTesWiUYGRasJoLWTV2BJJtshtj8X89udG2X+8zpgvWTeWUXEzglzH0DZzzTsGS7Uw1BLM824Nav3RtnJwW0XHZaDDUuxwDkMhL7n6sgtKGaRKMDGSsWtLzNfvy6O4NrTOGXTnA/NLkFXOiziB+A5i+8oArgPyoB540d9atrea30zFk/tNzs7IfgTvWzf24T70KDm4tcqUIEkVMhmS7cDQ1wzFst8cdmKDgTgRSG2YYJv4jkW7a9FqO9TKHu+5folLtszwu1/o8eDeUQ7Pu2RkCJHknTkbyzSxTYeSF3N6Dv7yDodWU3LDZfN862mTI0sep5YkO9cEbN247i6vvP4Xo3Dp5QFeq5b47C3falq2/0Kz61///MFFefysz3jNYdOkwUUbWuw5ofBNtABQIKmVNLhHawmjtR6rxxYxrXl+9zMWn/nmaiwrYFNdUfdTyp7QuXrO9bVMrSKVJIowTvUlS+mcbADu4lakKcNyzANZuD7Ih/LKYRz0xXPII5piqA9+LtDOi+XzMArP/eJF73pRUC+/p2AHqmXfV6/wEYeXssWypWFx7uvCsF5gYeunDaBkpjBShUgy/TiFLMayM0Pkj6FA6QFNL4Yk0XIhtmnkXS5J27fohCad0GJNo8Xv/fwif/HtkA99ahVH5ty8LagVgG3LwnVM6mUH07JY7AieP2wzWRvnNRemTIy0OXa6S5yNp74XvPDsk19vXnjpW14e4MXRbLY/GKX+VRumzEsnRyx2rofNa5aI1QJ3P+WhIpuxcahVLBo1wVg9YXKky4apBTIxx//4gsen7hyn6jmsqmZUPbRKrVdsa+geqGNrMHZDxekZ7bAlKARjBLIP7OVyzJY5JA03JMls9GUmiu7CCuz0SYSDXcX+NsAr7Ou9slH+d5uV59m/Wh7J1co8/SV+u896XCnBteJZ9R8yj95ZHr3TVBPfkj6ZytBDI4okp/hbuUX3kJNaksL0nKIbJhhCYNsC3zHwPZNSV9LuSro9k07XZqxu88M3LJDEp/idz4+zbzrQnCQjxjKFVlPzbEbrJW64ZIkn9i1xy4MlNk9Ktq13iDOXqy60nw57rQ+6Xvm8r8d5Af6D73gdv/2Hn0yn1qxV4ewxFrsx7TTiwPQStz9m8+y+MpvHBI2qSaNqMFZLmRrpMVZfZN/pJb5wf8AX7h5nMrCYqqbUAi3BXPIlgScp+brTEniaX14txbS6Ec8fNlGZ5v2K/uTSwJRDOXg/eqv+x0IOzhgiA/V5ymLwZhZvf9EpHvpG/rl6ZRgfzrtX3PogetG0ZcV2TvEUVvCt+kSrlWSr8zbhi2+tSM+G5SCWMQKX5/zLXR7yNKUAeTpMi83yRzH6pDfD0IKaQui1MtdJuPPJhE5bUg30emPgSnxP0vY1xbUTGnR6Oj+faFi8//oFpJjh8w/EnDxbxRBKO95ZAt+RnDhbZtfGiJ94yxK3PZpgOy6Ok9FtB6xfv05ZViu98NIPvHKAA/zwu99CEkd85cvHmG3u5zPfCjg552IhWFOD8ZrBSNVivA6rxnqsGZ/n7j1t/sfNNWYXa6ytCSarGbWSJqeXA61hWPKh4meU8v74WL2HYy/yqbsEB8+OMFkxsC0tKlN0Tvo3ORy5WR69jWFJ5gLoAzifc+SbL1kKy1bHXxrXy0F+znBHLMfhd5CjDEA+lHOf7xx8kbLynHukFr180VUMVThH5Gqvash1ONPALqxIBpo0w8SuHOQGWJmO5L6bMj7SYufWJT79rQbegsNkJaXs6TWzdlfS8iSdnkGna9DpGfRCyXjD4gdvXOD1V87w3z+bcP/jI0hDYZsxnuPgezaOXePqrTZXb485NZOwex+sHq+3N2y54dOu673oy/uiAK9XKyoMw99btWrr/5Dx3qoje5ye1hyC+SaUApvROkyNhqwdX+CeZzr89s01motlto8LxqtQL5tUSyblkqQSaGDrvc2YailiarSNYSzy+7eYfOz2cVYH+vJnGHnnJC8oLStPS+QKcBsDSWZTDvQN+yKeQ1Fcr1MVQNI9W9eCi7fGjI2nTLdUrjfxIsAewty5wVmce+cQ5l8UhiuqyiJdoPg4RLJa6eVzXsTmRbBpZpw5a7Bnn0k3ESv2UAdXhX56ogYdlDRVubb3oNgc1kFXZENXH21uZZkD0yxLGvz4m0KkdZo/+OIEcy2X1XVFzUtp9zJKXkqnp1OVdk/SCQ26oaQbSjaskvyb9y/y3zJ4+KkRXEtfEeoVkzNzJs8fKeHYcGo25sBJ+Mfv3TF7cP/eD1957bteNEK9KMB91+DEsQOfvHDHpv949FC9GqcR116imO90WXjOo16SrBqN2bR6nnueafPbN9dJeiV2rlaM1wT1ikm9YlItCaqljEqQUsknmvVyj0qpyZGzHT51t8unvz1GWdrUfJVzEgxsc4iFOGSBov1+ciF9U61Qq10ulj+QchvqqBRSC5nAtGDnBTHrJ1KmFxQ452JwGTSGud4rrv4r05RhOA9Bi4GcwxCoWQ7a5TIQy4FePOLweHzl85WW4ughyTPPWaSxoQXw8xzZYPljD9KSXBs89403hG4XFnrgIifaZdAf8mhektYKtE2DXmSw0LIp+zV+7PWz+PZJPn1XnRdOVmm4BmOljIqbUupktHwd0dtdk07PohsZ9CKTDVMmv/iBeX7bUDz05CiukzBWkzSqKftO9lhc8ti0SjE1XqUxtp1qucJLHeZLfXPV1Krw1Mmln9u2edVnDfV8UKso9p5IkIbDhtUZW9Yscu+zbf7n5+vIxGfbKpiom4zULBpVg0ZFUSvpaF0JQmrlHrVKGyE6fPtJ+PBn6zx/okbdM1lVUVR8cpsUA9c18FyBYw+i9jJz2IJSuyySDxzWhnPx4V3B4RxcKZG3y4Zz70EXQwzdswzEgkH7b8X9DH/+ndK/1YoI3gfzcinll3kUQNuuL1c0P7cDMuhha6WIVGgRTJFpI1eZ5+FGRp+nrZRm86VSb8IrJRForx27K7EtmzNmwHhd8Y9et8irdp7lt29u863dDc60XMYCg5FAUeukNDsZzU5Ku2vR7Ul6oUcYSTaukvxf75nnw8zxxLMNKn7CuimTyUbCkdMhR87Cpk2r2t3Q+LkN6yfD7xrgrdZsNjm18ZE4ecPS7qf3B8/tTlhcqnHldsGurfM8vL/FR75Yw1Uem9cYTDRMxuomo3UYrcaM1kIalS7loIPvtTkxE3HbXZLH9gXc/miDNHaZDARj5YxaABVfswID36TkGfguOHaGKZdPFoc9e/rcZHPY4LUQ3FyRsfY7KMbQ4CePoS9SvK0E6/k4VcMh/jsBdhG5lzsdq/7X2Tmg1nXDcNF5zjMunmc+hVwpalTonBdXjlQJhNKdkATRv+pJoUgLG5NMu6SRTyyLGGBKgyRRZMoEDAzDwDAs9NKW3urZMNbmd/5JmzseP8Fj+x3ufabMwbM+rm0z4sJoSQO93TVp90y6oUM3bLBptck/e9c8v8c8Tzxfo+Q7XHFBiesvazE3b/Pm171madXqTY8sNJvZS7zELw3wUmUchDWTZuH712649M7Hnn3SuvZiyQWb5njsYJu//EaVqumycZXB5KjFeEMy0UiZHOkx3mhjWS2Wuj32vJDx6W+XOD3X4MAxH9MyKVuCek1R9TOqPpR97blS8k3KvkHZ10ZXrp0hDUhS7Uuepjp2Dqy9deQulLSsHOjFOhVC9QUqtVD8QCx+SH/hHKgsV5BVy9IUMfT9ZZ/nfefzCXS+9CH6RK+iX19Unf1uylC5vCya91OY81SkRb8fPYnUU8yBDHRxEqXpUPhIRX9lUBoKOUSHBV2ARrEiyXS949gGaYaO5ELmbUSTTOn3rBeZlAOXN13R5V2v7vHC8TlOz8/yqTt99h0POLToc6ZpMtlOaHUzOj2TdtekG9bYuMriR1+/yF+oBZ45XsYwfC7bZrN54+VxlETvnxovzXRD/yVf2ZcEuDBskmQPGzdPnnDszQc783u3n55b5KO3Ck6eHWOyajK5RjLRMJkYUawe7zE10qRUWuLg6ZBbH7a59cExepGHVAaeqf01banwbIXvQMkTlHyRO0WYVAKDSpBRDVJKfkrgJXhOQrsrOXbGJ0p0Tq7663Ga92yZaf9mSh29C0RqIUqFMgriVaH1YYBKzw2rrADoMJCHPy77XAyta62Y358P38ORe0UBeY6991CaMgA0FBqFg8dccWb1zzo9hSzcG/ocFHT3RHdRtMGrNu/VVtxmbuBKnmdbppafmW5mtHvg2xC4qWYEpnnvXkmU0svKaaqpy52ejWu72GZK3c8YryTs+vGIKJ3jqw8vcutDJfadCJhpWqxqKprtlFbHZLFVZmrU4cfe2OL4XJun9vV46vAoN2y84KBfW3vi/if2c91lW797gIMmsB/b9/CReq38M+s3bb37jkd2M1Lx2XaJhWMZ1Mow3khYM9bG85c4u9ThL++2uf2RCXodl/FAUK1rQlSm8rU2pbRThC0IPG1RWPI1uKtBRq2se+P1co+xeovppZBT8z4npj1cW1D2wbFyM1mp+surjh1jmWm++gRZWrgBazCLVGEYBuaw7UcmSNPlye3KnnZxWV82MxErI3cB8uFIvkJaeeiCMXzhWHbfcIQ+70286EkxfBgyX/DOhUYNIXAKGeM8QityI9acwmAKlUt35D7ymW4hCjThLfAkI3VBxwiZOZ5yctplqqqn0FmWDs2hZM4w1JaAUWxgWxpqcW6MYJsZlSDibVd2eM3Fbb7xWJfbd/scnQuYb1s0OxkLTcnpWRPXrjFa67F9TZPQ3caZBX7m6H2PHLn6sgtfDr4vD3AhdtLrtXCc4NSWTXff88ZX7b/BNheYqru0Oy7lIGbN+CKzrRYfvc3i4edGWFwIWFMXjI9BNZAEvpZ463ZTjp2NUUrg5Z6HgS8peVKnKKWMWimlXo6pV7usGV9kprnE//xSlX37y1yyIWHdhMRz9AspDW1lYVuF+21IyYuQMiVJTJodlygubOl0FBOGwkwNlNT02YqXMD6SwcFBxC1Aulz8Xp0TxTWxS5wL9BWRfvjEGY7g8CIAznvTy42phvUIh1OWZQmUfswMzs5Klrr5vp8wsA20dLFU2Ll8R6q0ZMd8zyDKlQkqrkCR5a8tZFYOFKml+zasUrz7ppBnjs3xm5+qc2C6QjqidPtw6MiU1lRJU+1k7Dm683L0tKTTQweqwKUaBEw0qrzn1U1uuqTFQy90+eQ3yzx+OGBdQ1HxUpphyki1w+qJUd721ovveeNrXnWq0+0S+C+dnrwigAO4bonjh+7bX6uUP7x96/Ybnn76HhZti5Fql7Lf5PYnetz7TInH91RY25Ds2CJoVExqFYNaSdCoZIzVuzy8N2H3QZupKrn1oI7cOkXRaUm1FFMr95gaWWKmucRvfqrMPbtH2T6me65ZVoBbr8sVjnC+26NWbtPs9kiijDhxCXuelj/IBLapUxHDSPXSgzKIY4NNUxk3Xh1xx1OaLbn8Cr/CWW04Oi+L9mJ5/r0M5GKIDzLA9spIrl2GB57xgzaeWgby5TLJ50Z1ISAK4a6Hbfad0nt/QhjYhsIWCiff4rGk6tsGKrOFyiKi1GKmHZAhMY0M29RX3GIOJqVmDbY6Aa+5uI0Q0/zmpxRHF6qaiiWywRWuSFc0wwQpYbzR5bEDKbufdZioCeplg2pJcnrW4/hZh9XjZd5+5SKj5Rb3PtPlsWfqZEpSrYBtw9ZtO/G84MN33PXw/je+5ppXAt1XBnCAcnULrld7ZO261hfn506/+65HT3HdJYrnT8R8+OY6I77PNVsMJhpaQrmek6+mRrqMN5Z45mjInU9XSVIbx9aXu3JgEniCsq/0EChIqAQR4/UWM0tN/ssnfb75+Bjragb1QKc1/SVkU2Fb2r3AdyNGay1eONHhtz9dYaEbUC9ZXLstYOOEjWWm+G4CAqRM9UZKfrMcRa2aaRu8vPmnvWjU8jR2RQvQWAHowcTPGKQn+XTkHKH8oYitfYzytVAByjg3Dy+ciAu6zEqT2L6Ucp7/Z5lgcVGgQgMcPRW2ha59HDOvf2zta3P5VMpVF3UYqS7RCmP++6dHePboKKYwcEyBZ+cgz1UTwkiw0LSYX6rw5itDLPsMv/GXJicWSlgy1VISQ/WuUlpST1vAZ9x0+Tx7Djvc/0KJqYrJZC1lpGJQq0jOzHmcnHHYsqrFVdtn+O9Zk7npKldsi1DOdi7YtvOLl124+ZH5xaVXClvkK/3B//qh/86P/eQHF2tjFz6wb98zW4hb2+Osy9cedqmZAZdusti8xmTDKti8OmTnpiXWTs7SSRb4yzsFX7i3THPeY/2YwWhtoHdY9jMCT4/uK6WIRqVLrbzAlx/K+MNbJxkLHNbUlT7byxblkqEHR762j6uUejSqTfYe6/Crf1rja49OsbSgt4x828WxTKQU/d75cEHquxGnZlP+5Es+TxwIwHIwpIkrtTeV3Z+Y5ptFxQJ0sSdq5B40Uhdhy29GLmshVqQyYsBlOU9qgxiwIQubvuH+f1/KoW/kleU25YU9TIrrxbRjxcPP+yx1fGzbpGQqAgt8S9uAlH3BWM1k21qbSzZb7FgHl2yK2b5uieeOGByd9XGl0KpkuXKBYxnYlsS29Ovg2nDJ5jaHz8Q8si/AFIYexuX/X7EMoVSxOKHp0hdt7jAx2uSZ43DwjMHZBej1Mjq9jGZbsNhyMQ2PdRM9jp418Jwq27asueXd73jXv4i6s0fHxqdeMcBfcQQH2Lp5FQf2PnD0VVdfu+cRY+Edf/HVRXxR5sorJRumEsbqIaO1NiktHt0veO6YxYN76pyZ9hjxJFunBBMjJmN1SaOqKHla7MW2slydNqJeaTPd7PHlB0ewDY/xcpYTs4xcuhk8O8N1UjwnpuT18N0Wv39LwLefHmeqarO+lrJ6RDesWt0BNbdw0tWywCAMmF402HfYovCn7luYnNMCVINIzbDKlhgCouiDetgNeSUrfFlqkg3SGe0HrzSzz8hXwBR9kCxPXYZsSob8MtPMwDAEWzdkjFczjs/lV6VCsUDq1UDXEQS+QapMjp/1AMVkLLh25yw/985Zfvp3fObCgJJt4EeKXpzRizI6oaLdM2h2LGYXfaqlCu+8ZpFvP7LEzGKDkiNwTb1xn2SKXqh/L80sBCaoGmsnLd7zqibXbG9y/zNNnjtm88QLPvumXSZKGeNVwfFpmyt2NHjdpTOcWNzA1i1X77n73keO3nTD1d8JZL8zgANs2jQF5toP3XbP3k0XrO3+0FhlnomRHkG5zVIU8oXbXJ4+WGdx0SKNTXzLYNsYNCoGYzWLsYZkciRlohESeDELTYc4NrBkiu/FWGaX2x6z2b2vxtoKVD3yoY+J7woCV2uRB25MKejhey0+8S3Jt55oUHVtxv2Usqcdt4wcJEkq+gKQg+VY6C8LGILCZc0SIjdBHeKVr7gVW0MFsIUhBi7AOcCLSC4MsSwnL/52hi4Gh1vYQoDI8pMsU7ptl4EyhqeZw+ZT9IE9cD7Oe/1Z2m+zDCteGcZgkcQQgjSDbqgB6zY9XKfMay5Z4EffMM1n7rZZ6Nn4dorXU3QdzSNpdYr3w+bsfIldm7q84apF/vT2Ms2eSdXTZ3Crq5hvK0puRjdUJLk8cy8uM1p1qZZ7vO2qkB+4PGKu1eSpQ4t8e7fDbOIhF0ziZwS7tm/grTet/3To7/qQkxz7TuH6nQNcWBv4/T+5dXGuc8FPvvX6x1Z/4uvR9Y+94HFsXnJ82mSqLCm7BhsbudaFCY4tKAUmYzWDqdGUjaua1Kpz3LvHZmbWZd2YpF5ReHbM6cWYLz3QwJM2I4GO3qWcQ65NZ1MCLybwIhqVDsemQz721REWlsqsb2ivIM8Web4uBhGz30obHlkrerFBnJkgTF2MiWLLfEjRdrijQlFwiuXfHwK3kSs+FXTSwd/T0bh4TgixTA1ZCDBS7QmQKpBqReEJg8+LyN3/qOWPs8wgSyWWSHHMBFjhszN0oipyEdTYyAcsDovNgKnxiJ96W4vde5c4fHqEsiPwnQwvzHC7CS3HxusY+I7FgutSK5V4x6vm+dqjbdrtGpnSdIvN6wSnmi0eeMZkqStI04g0tYgTk2bHwZ2xse0M19L116u3h7zzVQucnFnkxNkarTDl3ueMe3/2g5t/cvrIVzrjG97Bd3p8xwAH+PmffCuH9j/cUeoD0UWbbqEbnmZiOmNtNWDViMyV+QWek9HuCrqhQSUQTI4krJ9sMdaY5gsPGtxyV5ULV5tM1jSn2LJC7n9C8sS+GptqSus9ewWHXOuTl/yUkhdTr3Rph23+6Kseu4/XGSmJfBUOvJywNbzrOdC80/wUU2YkScadj1g8cdgF19RuYFJzk3SaUoB8hdta379KR2idlhj9qG0WOX+ef+fXCrK8k5bmvWZBMbMRpAxdFTKxbAFBG6LpQpOhFKXoqKSZ6BfOSSbp9Uwu3BBy49U9Hj+SaIbgMGMxfy5ZqkgSCGPohpr45No284sBO1aF/PQ7ZvmNv/SYbgX4tsK1FI6l00PXNvEdE8+1mVkMuGRjmxsuavKV+8skqV5QWT9u8uZrFdXyAl++r4ohHISIdacnMelF0O6qXPHKwXdtVo+5nF5sc/gkTI6t4Z//xLuix54QnSsv+87B/V0DHGD1mp0olT188SVHrv34F5pexc64blfK1jVdktTEMhXNbod9Rx16UZVyoJgcCalXF/jMPfCp20fZWLcYrQpsS6ccc82QP/l6lcC0qPsZZV9QDqS++VAJBoVlOWhxy0MZn7t7BAeHhqco2Xn0to0+wE25nGFY6OuZMqXZSdl/zIHEAc/ENgS2keWGpfSLpZWEKmMoVRnk3nnxaYp8WboAeRG5B0L/aZqR5RNDIXSaofKrjUFeSKZ6z3EgzTCcexdALwZVBqmh9bjN1CRKbALZY9vaiKofcrYX5NFdoLI8x8+Xi+NEEUYGvUhokPcsnLZL4JV43/XzPPbMLJ+7z2GuLXFMbdfu2AmOpWcbrmMSeA4jlRI/+aY5HnimSysMiOKMmUVBq13hJ3+gi23N85V7R/EWTHw3peRL4qzDkZkezZaHLSHOFFvXCDZNOVy6DRprdnU3b9jysFFEie/i+K5/03ZLzCxZv7Jh6+t/94feONGL0w5JtghigVq5STOc5aNfT7nnSQOlFBU/ZazW4oWTPT729QZl02b1qEG9LKiWEgK/y62PGOw/UWFVReX8FKlH+L7QdNsc3KO1JvtO9PiDW+q04zKjJag4Gb4jcJxhgLNsnc0s5MaMFNuKOXRacOujZXAdbCnxpcI1ckWtfEN/2FlieFLZl3YWRUoyiN6WmadmVn6zdR/XMHRUjuOMKMoI45Q41weJE92GS3K6qo7KOhXRheYgl1FD4C586pNEEieSODGJE4te1+HNV8ZsXtWFJCXMIM4gyUS+saNvcZIRxdCLBJ0c4K2uw/ySjykCfuodS2xZP8/JFix0DJY6Gc12SrOT0GzDYkuy2LKZXgjYPGXzpmsWWQwVSx3FQjPj2BmbbrfGT7wxZvPaJmeXFK2uplLcsCvlx9++gFtuMdNVpGaKabdBtDi2sLH35tff+LuNhvyVer383cL0uwc4wOoJL3Pjz/1auV79rcbImiiODZ49WGXvMfjo13z2Ha7gWQ5lXzBaiwiCJe58ykZmHhvGBCM1k5GqYrTaI0pbfOG+EmXLZiRQOSel0FlJqeUDoNFqC2kucfM9Ho8+P8qYL6l7GYELnguebeQAF7msxEA8Uhqp1pu2UhQxTx4wmWn6SMumZELJ1EMQJ28NDks0Dx8a6Po2ULzVq3VaNhpsCxxb4bmaNFb2tZhlFKe0uymdXkovzAjjjDhO+yI4cQHyPMpmQ4OcPpFP5D1zVcg1aC2SODYJY5MotuiGLrXA4JLNXWwR0ku1G0aan0BxqojTLAe4ohcKuqHIlxEsltouC80yV261+aEb5jBUi5NNwUJHsNRRLLUTllopiy3dF59bcml3y7z3ug6m02O6CXNLCdPzcPhUAFmd11zSYSGMmc1B3ut57Fgd8FNv6bFjbcQlayVSmKyeWhutWl3/rT/4xDd/TYhS9p3icvh4xX3wFzvW7/qR9NTS1EOBE0Xtdvs1x2dikaUmC02HNBFsmLDZshbWTS7x4AtdPnfnKKvKJusnLdZMSNZM9NiybpbP3Z9y64OjbKwbTNQFozWLRtVkpKYYrSWM1LqM11v43jwf/ZrJn902hW+7TJRSqr6i5Oa8Fk/iuSa+a+C7Sndd+hZ0Mb4bUfK6nJoP+dAnqxw+26DkWdRtRWApPEvrIxqS/opWkY4UPe/iZlv5QrRV6LRoISInB7drKzxHEbgZjUqMkDHPHE6ZWVC59FnBPBW6myMGHRk5VLgWVyBLFidrll9hVL6dlOfgOb+mSKV8N6UShNzztMNs28c1BV6h/Wgu15yRhjHU8sy374Xuzly4voegw4MveMSpjZ3LvUlDK51JaeTa74INEyEzzR4PPFOm4oJjad9515HsWNflbDPk6BmfiiuolkxKfsLMgkEcWUzUe1hOkG3dvOrX3npD/b9NVdvhR/7wy38lfP6VAX7rl27mt/7DDycXbRufM2Tp5/YfPGnUygbTS4o0Ntmy2mLHxhDPn+U3/rKMjH22rZasmbBYO5Gwbe0ic+15PvylBmbssbYBY/nSxFhNMFZLGK33GG+0qJbn+ONbDT78+VUkScCqijYqKnuCkqfNaD3X1FvcrsB3ClXbFM9NcnCHlPw2334c/ujL4xhOQN0R1BxFydGgtPLCtJ8aMNBHl3kKUogQ2aaBacpcZUv0I7cGd5aDLGH1eAdhznProwZnZixsmfVPHvJeuQaY6Of0hiEYlsXQGtsDWrAhtABPnKcnSapBLvoFsmLtVI/d+wTPHw4Q0sI3NSdFKxMUSmJ516fo4ed5mB656wbBNTs7ZFmX+571SZWFnW/c6xTNQBoSUwpcS7B2vM29zwlmFjzKdoZlGkjDZKIBl25d4KuPOJCYNCoGI/WMpW7CiRkb34FN216VZc4F/3L/MfPk61/3ge8emPnxXReZw0etsRrpTu277BL7gyW3+wffuvcpI40EUw3JtnUJm1fP8Zd3CZqLJXatNZgYsZgazVg/1ebM4iK/+ZkaM9MlNo/AaE0yUjUZrYq+zspYvUUlmOd/3yL4gy9NgQpYU81o+HoiV/YMfE+r2mrtadEXVTf7gNDuALYVk2Qxjx/0CVOfui2o2hklRxHkzs2GoWUsupGgl2gQCDR9tMiDB+3BvKCUhei/wrZUX9zd99J8Ta9NK1qiFdnMtH1KLvR71Pl4u+i8SKlVoqwiTcnyCiD/GUtq9qQpM8JIstTW+oPSUHhOqnVlhMKUKYHvcvnmkK/c16WXOtoPKRW5elVeaMYZYZTlCwu6TaQw+y0XBYzXBf/83QtIeYKP3LIaY8nBMDKkkeRFtYVl2dhWifWTEf/Pj8/xoU9JDk2X8ZwY33WoBCUu2tzlLa9a4jO3OzTKBmvGTRzHoORCZerarDGx9YPXXr5138GjZ/46oPlXy8GLY826y5kcOxZNrb3po57n/+tM1ml2Eq69KKabzPLMsRZ3PxGwriFZNWayekywdqLLuslpbn1MsPdQlamyyDf1TUZrBqP1hLF6j4mRJo3qHH/8dfjIF6cw0OAeCbTHuZajMAg8UwPc1lHUMvXyrSWLTZ8c6FbE0bOKT95Zw/JtKrYisDW4y56gVjIYb5isGjVpk3G8Bc1IEKU6fy16ykIMDXVyiTktaaFykGuLDtdO8ewYz4kwZQxZSjcWdGKDMNYtuijR3Yw41QL9SZrLNhS5+NBJJY0My0rxnZCR2hLSbHPirMnpWYv5JZOltkW7a9Pp2fRCm1bb4/03JqybbBMnKWHO7tO5vsrzfq0oG0YZnR60OoJmx2CxbbLQtJlf8jgzVyaJa3zwHTH/5G0nmetEHF80mFlSzC3GzC7ETM8Lzsw6TM9X2bnW481XL3JkJuboTMap6ZhjZ0xOnK3x2otTtm1awg6WuO8ZgWtGbN/oQ2b/65te+6qPfuvRs9GVl7w8FfaVHH8tEVy/4Vdz5uzJdOeudx6Ybe9ubhj7atlQpzh8usxiFzqtgJ2bTDaskmxZ12Hj6mlufTTl24+Ns7YqWTsqGB+xmBiRTIxoktaaiSVK/hx/dKvkD740iS09psoZ9UBRLYDtyjxyGzpy5/YoVs6YK5aSiwhuWRF/9BWPufkS1bKgbGcEjs7hK4FBtWTSqFpsWRPy+lfP8hufsjg908AzwbPzpYN8RN/PyY2BRqLd/6hPKNtMsS1toWIYKWQpYaroJYIoATtVxInI3SzyYjjJiKXASotBjsoXDwqHsoRapcOphSa/+alV2HHKxlWSkaokzT3gNdPSphM6jNYsfu4dS/zS/27QTX2inAOvbWcEcaFDKIr2oZHfL/XHVF9R0tRgrC754DsWQJ3kj746QZK6+dpfnEvDmZjSw5QjvGHXLM8dneXu3aMY6Baq57pcvqPCpglBzXU5cLLNgy9M8VP/4E3NtRsvP9CdOZW+/w07/7pg+dcHcADL8gjc3i1vfv1VP/94vfO7t952d6NRXeDJww4XrLa4eIvBjg0tVk/McM+zIb//+VGMxGX9lGCiYTHRkEyOJKwe6zLRWCBKF/ij20z++CtTuIbDVCWjnkftsi8JfFMD3CmWk7WXiynpF2kFrdaUGbYZ0+wmHDpTwpAOpbyo1Lm6ZjhWSkVhm7JpteKHb1zkdz5bphtbVArmH0UEN/LURPQBXtz6xaAcEKLyXghxVkRQ0fc2SnLAxYkGcZoK0lT2uymFV6VhKBw7xba63HyPy2PPeWwby6gGMaZ0ci0ZiW2buI5FL7SJY5f1Y20qXo9W4pOk+SZPv1Oj/zZR0VUxiCK9qBAngjixch6P5vOMNQx++i1LCM5w8z0jHF0MSJUCEeVplIk0ArauTfkX75ojSWd5aE89v2IISm6VHWuaPPl8xtUXjHLxZTfNjUxe9S8PHWvfsn2j91fC4PcU4I16HYBTZ1ofX7vpjeab3mh/6M+/8K2xpNvlpssUo415Ypb4828qvvHwGCry2DIlmBq1mBozWT0es2Gqw9qJOR4/0OFDn67y/NE6U4HJeLGYnCtklfLF5MAXBG7Wt78I47x/TNFSU7nlSobvxnz7Ccn9T5exHYPA0tLNri308oVnUvINyn6CZaa4Drzp2h43P9Bjbtoe5N8G/WGONQTufltyWG3LGOizFPzyDEWqRB+8fcHLRBEbhYhRRpzoSJrmvXDQ/XjPSTlwAm57QG+hx6mi3c1odRJc28K1DTxb0nVM/Mim3XO49qImV17Y4o7HasT54w2rBYAijBRRom1ebEvQiyRhLoMcxSZRLAhjgzCWjNYs/tm7F3jjVaf5zU81eHpvjSgRZFnch5ZhlNm6Dv7Fu+b52uoZ7n2yzPE5m2/v9rnhEo+brjIZX/va6R94/Y2/RBp/fGrylbMEvy8AL46piRLPH13609rqVxvXXz7zXxZO3zU22+5x1zMG3bDMw895NHzJ5gnFxIjJ1KjJ2omYTaubWPY8tzwUaT2NIzU2NWCsnFENBOUC2L6klPPIy0FCyU+o+AlKpLxwJKAbmuCCm0t+62JQU0m7sUBkrh7pmzmzzha4tsy90HVb0bZTpEz71naD1IRB3p3rJerWoM67i6XngehQfusfA1kKyIc2hZJU4YxmgIzBMrM8TdCDnywbEMWUUqi8Zx4lgl6U0Q2Lm6F1RkJJL5JEkYXn2gR2gsoSYmX1H0cL92gTr16oOHQ2BgWVXFovjLTVSBSZRLFBGFuEkUEYSXqhyfZVS/yb9y7x2XtiHtxTY/9pB4Uex5umhSlLrJ8S/MQblti5JqbdS9lzKOSB53ze9aYrp9/8xqt+Gdp/KszR7wUUvzcAB9ixrsL04S9+9KbLnPTPvzj+29986GzjmgskadZldhocK2OkajIxYrJuMubCTQsgZ/nwFx1uuX+Smu1w8SpFo5SP6/vANgh8RdlLKft6A6hR7VEtL/KlB2ye22czWTMQdYHv5GPtPHfthClffcgnEhajeafDsfTkU98Erq07FK6dkqQZDz5pcfqMSWCpoU4HudmWwLG0c5znZni2Brg0ckJVPolUy+ywRW5NLgaDJKGLyTDJVVrJcuBl/TQhSfT2e6YEUWywZlxx1a4eR+9UdGOhC9ZIF4q9yNAgjCVRpIc/WWbz5mu6fPWxmDi1tSaMULq15+jO1eRID7u0yC33lxjxTUZLqQZ3PnntRVqBqtuz+upUra7NmkaLX/2RBb78wFk+/PkRnjoaoJQW0PQcC991WWqbHDqRksQmb7isw1w8NrfvRPkX/9tH7v+zX/z5t3+vYPi9AzjA2IZ388u/8cmPWXJ79JYbSv97ZnpPeWrEYs0EnJkVVALJmrGMzWsWuP/5Je5/PuD+3VXWV7W/fbVkaE3DPrB1OhK4aV/bsFrusnpsgU/fnfLRr1VZU8oIrIRSYJHkqYp2D8iIk4RH9noIIXHzlKLwbbQtA9fWOiy6A5KiSHj+iElzyWJkcgDuogfuWALXUbl7XIrvpBiGylMLI++MGDr6UmzyC+0jmlMCbFMvTqSZIooFkVDadU4U+6YZUSKXFXphLFlbMdi5PuJzRkYYG0SxIop1xA1jRRgN0okoNslSkyu3p3mbVHdmhNCLC45lUPYFG1ZlXHVRmzDr8plvT+Z+8xrgYaS53d1eloPboNW1aXZMlloW4w2PN+xaxDIWeOD5Hk8/X8ezExpVG0PAsbNwatZkpLLEXOfC5k1XT/7zcrD0qbHN//h7CcHvLcAB3vMamY2PlD791N406YTJn59ePO4qQ+I4Wi5i05omdz7d4ePfqGLjsXPSYLSql5EDz6DkacHOkqc3fzwnxXMSfDeh5IeM15ssdpvcfN8E3baLV9c5bZ8OTeHGrNt2tmvhmALXzPo24wOvH4Vj6j1P24z1zbUxpIlddEyGPIIcG3xHUfISaqWQeqWH74Y8f7jOYsul5AtMMyPOXcSKDU8zXx+zLYXvCHzXYKGTsf9MRmBLRoMMITItIRxlRLHUUTw1+sVenJhEvZgsSQmlRZhovZIoyYEe6yiu0wo9vu90TZIoQciB7riRS0JIidYwcX3ed/0ctz+6wLGFBpkyCGNFN8pwewrP1u9B4EmWOpLFlmC+6TC9YDFWc7l8U4srty/w5/48j+8ZYf1UQqeXkmUpFVdx8Y5toZITP/3VB+qf8+zuX2kM/7cC4Fdf/wE+9anPpBP11Z8bGxdpuyX/ouK+4J5d8NiwKuOBvR2+cGeJCd9n45TmjAdeER3JeRwJZT/Bc+McfLr1Vi316MVNfvMTPnsOlNlQ1RsrBQc7H4JjCIVrx3zlAZuz8zaeqdfRLEuP27Vrm9C20nkEt8yEjJR2JJGmwJKqb2tomZpv7lpaUbXsx0w0Osx1lrj5XpPWomDViGRiBFxLksSSLNWLCAgD09CP51p6AjvesLnsgpDLLpnnaw8HnFzwMKW2ufac3G4vKToaWjEqji18O8I0IrqpS5QIzS+JM03mig3iWBAlhvbLiS3G6wbveHWbL93b0Fe3IRVbpSCOBQstl4s2WPy7H5nhV//c5cRSichPcSPtU2pbisBOKXkZpXaC7+ltKdsyODltcWqmzqY1Dj904zwGCxw806BUgmPTGZft3BRec90PNSu1VfdHUTedGKt/r+H3vQc4wA//8Af43T/6VPovf+c9n//m//zkjx48vPHPkvSUf2i6y71P+Gwc9di5wWTtZEbZDzFNSBITw1BUgphauYvvdrGtKFet0hyJctDjyNmIF46MYmUWgaOjntHfpMn69FjHSXjqkE2741Ar58MYOeCQOJZ+82wzw7ESbDvm2SOCm+8qU/IEttSmToXLm20JXEeb21ZLEaVgiT/+huLT32xw9UaBZ2eUA0kv1mP0tJ+H6/65na+Oea5BtSzZOGVy2Y4E15nlwzdPUelot+FeNABslIgc6AZLbYv33BDxiXt6PHuock4Ej2JFmIgc6JIwNhkrS3ZtiPj8tzOSzBi0CQsCVmLQ7ZkIHHau6zDit9i76JEZEtHNMI0YS4JrSsoWNAJt7moY+uSSEsqeybGzHjs3Wrz96nm+vXuBs3MBmzdu7qTW1I+vW7fuHoWcTjLnbwJ6fz2TzFdy/Muf/WEe+j+fUUav89mrLl79043xqcXnDrlcusHjDVcJrr54Eb80zR27Z9l7YonRWo+RasjqsQVKpWn+6NaQf/Z7Nv/ts4IwbeHYKVmWcftjDs+fcgk87bNp5t4+xQ6i5nGkGDIGaSCl1KmJld/y6F2A27by4YwZE6cZrcjByTXJC5KSlZOqXCfDcxLq5R7PH4u488kA37IwDUUcK8II4qRo8xm5KJXoF6uFY5xt6QIyDH1euyti2/o2My1BN1I6n46zfNpZuJgZRImJa5u4MiZKMqJ8cBQnOQU2yXP62CBMdEoTx3auh57kzMKBS1qS6ecaJSbNjs3GSYPXXtkhExntGCy7yS/9g5P83r84wU+96ySzUY8jczDXhJklxZYNLV7/6mmWkhYPP9/hjocFu5+rceF6i3Xrxhdj1v304w/OfvYjf/aZ04YQqS3FXxVSr+j4G4ngxXHN9T/FEw9+lG88MvHJ8Xrdesfrt/yPqPXsSJScZM+RLrc97GMpn6mqpNVJ2LJ2gb0nmnzmnoBH9jQoWyYLCymfvXOB910v8F3BoVMJzbZkVTBIIUxZbMDrfrLnJhw/q9h71NWb4qbCXmYoK4bAnWHbCWmWcM/TNgamJicNsQh1a7DYbkkoB11aUcZs06VmCaSh+nrbBdNP+0bqeCKGujEyN+BKM0E3tBgpGdTdHnt7FbqRIIryMX6iAZjEgiTRBCulLG66pMNj+xO6iU2UaoDrzof2cw9jQRxJepFJklpsW99lfLJLq+fm/POCHpBPLWODMLRYNWawYVJRdaBsK95zY8pVm2o4lsPWyRbjpbN8+p4KBw7V2DEJvqyxruHzM29b4rZHIhaXQuY741y+5srZi0Yq//faCfOTH1UZP/8T//BvEnJ/swAHuPRVPwXAC0fmP2ZIyzy8b+S/fuILt4/VnCbX7YhwLMWWtR0qAURpl49/0+fRp0e5YqPkwk0Gph2x54U6W8YNdm3NQPR0RB0Ct47gg0liyY156gi8cDDANbTWx6B7khvJ5n1s206wrYQkjbnj0SpSaYDrK0EBcPq9b99NSLOIo9MSkVn4nqaRDotbrpT2HBYTgkJCTRd5gW+xZjxEyYR2ZOrIHev1uiTV3ZQ41QsOYPLGK5b4wy9FGuCJIIzzE6JIa2IjLzglSWpx0QZYPx6x5wW9ANHnvKT0x/JxKoljXRhXHbhig+CyDQG3PiSwhc9FmwNuumga22nxGx/zWerZPH8sJE4tHLfMZDXlNZc5TG24cfq66171byH+mBDjf9NQA/4GU5SVx7b1dcYq4k+uvvL6X/7x979xemKsDJh04yZn52OiOObJgzanzpbYsUqyY73FpdtjTs53aLdN5pcsFGBbBp4lc7WmfA+ybySrsK0UYcScWTCIhYVvafEbnXMXbsmqP6gp0hPTiXE8iZCG5rQU00uzsFXR3ZbAi2h1E+7a7dFuW/i2Wq6FArzYxXggHaGFKruhpOKb3HRpSODHtHo67Sh8K4teeJqrBCSJRbsryaKIbqL76HGei8d5FA8jQS8y6EWSXmiTZRaTtZCMlDARObFL5SDXjxtGkl5kE0UGBopaICi7JuPjSzy+P+K5QyYvHB1hdcPjoo0RhiUYayhcb4FuNwNZY2LdO6evfdVNv5wm9p98v8AN30eAA1QrAeVS8tFXveqqX7jq6jfPX7StRrPjcGrW5YXjJkdPu5Qti9WjBmsnYaS2wP6TJvWywUg1YaYZc/iUS8M18OzcBLbPP9GcEMdOESLim4/5NDsWJVd3LxxbO0g4ltDgzgc8tpVi2zFP7pMcO+PgmANu9mCpOM/JLU18SlRKmMi+FXlxFSmej1g2yTyPfUgubREnBmFkY0uBKeM+YOOCq5IV2z5D/fAxuGhbhzDRBK6CnRjGWc4Q1GpUYWjS7lqUPYvXX94jETHdWORT0iEDqlTQiyyW2iU2Tgoa1ZDZpmJuyWLrVMZsu8exMwnHzlh02mU2jgm2rUkZqxmUfZfEmuBNb3jz/NpN1/zCsbN81LSC7yfEvr8ABxCigmX5H7/h1Zf92Ko12/7VlZdfG5+cSbRaaaql3aplWDsR8fA+RRI6rB03GKl3eGy/4OjJEpvGdNuu0NHr86bNDN+NOHQ65bljHo5hENh6NO/YBo5j4DrgOgrXTnEsrVDr2hFP7ZecPePgmYXt9WDJWPZVbVOkTHj8BcmTL/hUvIF3Z5Emyf6mzmBkP9A0UbknpeoDfKljcfnWjMu3d0lURpTkvjl5MTiwJdcF5NpxuGRLD5WkmoKbpyl62KPoRao/uu/0LOLEZfsa2DjVpRXqkyfN0a3dzfQk9MjJGpvGAy7d2mN6KebYGQPXdLlie5vj0xlL7YhOL8MSNqiU8WqP7duuibdt2/avJtdd/WOVcunjG1a9vDjm33uAAwjhZPNzZ2+59sb3fuSSC3f8s7e8/rp0vlvJOj3BeB0SFXJsOmG+6RI4NpvXxByd7vD5b5VZ33C5cZckImSulZGmOiXQK14ZlSBk9wHJ4bM+1XzLx3MErm3kHBS9mODaWsTTsUMUEXMtAwyZE6RULrM2kGIrZOCkTJhtCuaaNr6tN2WkLNbA6EusGcXj5AI+/Z3LgpOdtwB7PZN6yWSknNDL9HJCmhYyaMPKsoVuoWSknIAIacbQjaEXQxgpwijVHJUo37XsmbQ6LmvHJFdt6dDqKuL88RU6rWtUuljmDHftNjl2eoQPvEaxdqrNgZMp7bZHpeSyeiLCsjqcnRc4dsaaCTdbu+mGdM26nf/sza/5gY8szBy9ZaRqfM+HOK/k+FsBcIDxyR2Ei2eiiy6Y+PiO7Rt3bt+64z806pOMVFIyMqYX4OzZjB1rJeMjLZ45JHAocekWi6sv6mE5XTrRgFxlSYXvJSx1InYfcCCxqHuKwNXMQS+n2XpOPh11Ezwnouz3ODkT8+k7AmIptDD8kP62YBDFLZlhmgnSVDqX77cR9XZPYVRbuL4VzD0duRnQZBO9bKzbf5JeZOX3Zf0I22f/kStU5Z6gSSr44Td0WDXWpN1LaUYG3VDQy0freryu6PS0R+VSy0EKh4s2R/hBRLunn0OWR3DfjellHR56LuHJvSZJ2GDnxpTTiyF7jzqsGcsYqytSDI6fFYxNrGLd+m3/oTayaWc3W/fxE6cXo0su/uvjc/9Vj781AAdwaxcgrI3d1uKpF37wLZP/dfOmnb9+zeUb0orn0A0jzs57bFwd8bVHFM8eaHDdxRaXbQ+plGdRhqn3I2XBFVGU/ZjppZSnD/p4hqTmK81p8czcbbkwL9U6h2W/S6vX4b9/usTJGQcjS+jEiijV/WKV6fip+9i6b35qRvHZOwNcS+KYWqhSD4+KxYsM09TMRIMMyIgVebciLwj7PWtBlEjCyOYHX9Nl1WhElBSb9apvJVScXK4dY8qENSMZv/RDs5T9JWa60I5ygEeKbi/VVNquoNmRLLRsksRn16aMkVrIUk/kJ1phE2OSppL5sM3u/TH3Pelw4doyb7qmxaFTMZNliWOFxIlPMLItXTu19deb9sb/evz06RduuHp196Zrt/4VUfDXe/ytAnhxXHv9D3HHA0b6nvf80H+8+rqf+dD73n5DON+tcelmC0Muse+wy3UXSq7c2WJs5Cz/68vw7EGXqq9pr5YJtp1hyohnjhrMLLiMV6AaiNyUVlLyNEnKc1I8W/NapGzz//xFmc/dtZrRmsVbrp7Bkh2WQqPPoYY8gkowzZQoyTg2o4tRx6I/xrdtLWjkWLpwNaXe6BEqJUq18HzR0ouirM8fiSJJGFmsHU1xrSSP4IX2t47a+uoUkagWtz0qODNX4n3Xm/zaj54lo8tCz9CpSqTohhntbsJSK2OxabDQtJhe8Bkrm1ywvkeUZfnzyOiGgqWWw8UbBD//3mlOtXo88kLEg0/b7FxnEasWTx8IuPSCCqs3vTb8v3/uxz/0nvf+yH/cHHTTH/2hH/p+w+a8x994H/yVHm984zuYnWvSqDd/ZWz0NcY/DTZfe2zvl4xHnrOvvWJb2zzT7PLEwZAkc5mZl2wYVYzVJKN1vZxrSUVGxJ6DNp2Wy44N5N6dFvUyVAK98a7Zgyklr8fug3DXUyOsaXi8+SqLH35jmy8+NMtffsOiF5l96TUhikIzxXUTPFuSpSrfqNcFrN6qT3GdBN+J8PwQ7BSilLCb0ookvUjQC4t9yEFLL4wtotTWQv79jR79t6UBrpMiRJc/vtXllntH+YevtXjTVT1uvGiaK7Ys8tR+T082Y0U3VAiRopeWTSxL4nseuxo+l2zq8ciehDi1ATgzD7WyhesFjFYkr78iJUtDGqWYe3e77NpeTvYdrzyw/ZK3ZZWRjQ/sO5X+ShS2sJ3S9xsuL3r8rQU4wEijr2j0y5/7/FcQ8tXlSy5a/KOTZw58YPcz04ZvJyy1bX7w+pCn9mdM1kHaHeYWAqTMODUPe4/5rK4LRisGo3WTyVHFWC3Rsgu57rYwFK4d8dWHfLod3WUYLQck8SjveNVJvvlYj2aznHtPDgAujZRT03qlq2KTc8slbiFX4WldksBr8+zRiGePCi7Y0KbHHMfnGyz0jFx5Vd/0Bo1BNzRxHMlUI2JfO/fNyddvDEOzF88sxNz6QBUHn9k5hyOnbS7c1OFt13R55NmEVEnSTEfwXixodhPiJEMIG9e2OTVTYceaiPFGRJI51CuCs60uzx6WzLV9ntgfsGuTYmYxYtWYz+j4RLZx/c6bX3td7Wdb86eaF1142fcbHq/o+FsN8OHjfe99O8/v39e0Heefrz6zYX+tvPuiPfvn3m2Jw0wvKpLUZdOaFt/cbVCyUpI0ZWZGsDDvs7ZhMFKzWD0GF21eAtnDkYIzsxXaXRPfkSilfR9LtsBzdK+52TEhcoiihDjV4peFNrhlZqQq5WsPucwu2KyeylffHO3vWfJSKkGE77W5Z0/Mhz45TjkQ/LsfmeeDwTT/5ZOKh58bpdwVlHoZ3Z6WJu6GknbHYs245PXXdNh/Isv1TnQI10sKCZadEfgmdqLv079rEycRhtBcd9/RagCn51NMK+HUvJkrv9ocDwJWTfRYMxrTWszwHMH2WsjduwXrJiSNUo9m0+Kmqzaw0Bn/4vVX7dozNTX+P3u9sDk6dsH3Gw6v+Pg7A3CAHVu2Asw8/dzRX331je9bPzK+j6j17LsfeXI3m6a6zDe7bBgt47stFlsmz59w2LnGZO14hmMJ1kx0OHhmgaPTFjddnHDoVEAUO7h2SpxoM1NpaI60ApLEQOWRMM2nM3rZuHBVTmj1DCwMfEfhORLfNSh5GWU/ZqTaIUqb/NZnauw/Nsp1OwXddpnLNs3zbz4wzz/6Lx5nWmWqvpZy64YZ3Z6gG+oNnJLT6ffIdZqSg9xQSJFhmgJT6bWgLBMkmQFKF7hlF9ZPmfQUTPdibtzV5cR0xvHZKiNVyVOHJUvdMhesa7L3sOLodETJtSgHHfYctNi2MWDVmsu4ZNfOL67esOVfhp32Ebe07vsNge/4+FtZZL7ccfEF6wgcjlx9xc5fWLXh4ve95rU/ePdll1/J6YUJbCflyIyBEhFpbLJxtaAVJZSDCN+f58v3eBw73qAb2hw72+HYGUWrYxJGdu78oPrywqky+rINQF95ShO5tD9Qydd2iK4l8BxJ4GkV3HqlR6aa/PHXbA6cqnPhGsGautYFef7wKBvHPH7mrTNkZsRc26DZzWh3Mzo9QTfS0bjdMejFijhTeS98qF055EQxrF1uSIFrajGkteOSNZMhvi3YOFrhXddBO+7S6iUEXov9JwTScBAkrBnrMdfsceGmGrt2Xc473/a+u6+58oL3ja268Bc6HfF3EtzwdyyCDx8T4yMA+5VS+4E9TzwRT73r7bv+8NjRp7eceeA5ObO4xFLbw7VDFpsSZ13EF+7x8M0K29dKTs3BodOCNSMQJrqwS9ModzXTN20vInJj1ILfogtY28w4Nq3Yvd+l7OnpqO8alHxFtRwzMbLEYy/0+MTXVzHqmdR9TfAKI8Fiy2GxVeHHf+As9z83z2PPjFP1odZJafcknZ5Bs2Nz6ZaUqfGYKDL7Ij3Flj1D+uXFVUV79tBvU2YYbJkKeX5EsfdwnUudEd553RLPHYpplFK6vYiKY1EupUjpc+01F6cXbr9gf7vb/idbd9x4CnhBiL8ZWuv36vg7C/DiyN+AF5Jw4YU0Td9U8uXqtRuuuvlzX729cunWs8Hp2TbjtRK9uIVIfS7b1kUIm7kl6IVlxmoGSZIRxSZpEuUSDuQRU2CYAtMQCEvvb1q26BtZHTph8Nw+h+1T4Dl6Z7RWSplstDg51+J/fGmEVJSouRmWqfksxYi91XEo+2X+r3e2+MWzDicXqoyUMtpd1bcUuXRLyvrJiKMHfd1OTPJWYizJcuHxggRm5A5yWv9FS0dPL8DWtR6VSkiWJjyxX7F+0sW2I6bnbJIk4cRsmX/49nJ73aa3Lc0sivePj607YRjGkb/rwC6Ov/MA7/8jTg2l1JFtOxrHjp1euPD9b3/jq9aOh/9n7wvPJ7Nn9zfufjwrb1wFi62IaiDYd0Jy1XaF77WZW/Lo9izSVOQ+OipfHtBtP8uU2AZ4jsSz9QBHygwlFBmajeg6BiUPxhs9WlGTX/t4jWMn6kyU1LkSzEKP2+eWymwYt/j1H1vgP/25xZnFgPF6SrdnEsUSlESoYhkBeqFe+O32TJRtaXdiU6/dGYZCoXBkRskW1CuCpTDi4edttq7qcOBIQhDEHDrlsGmVzYn5seblF22ZW7Nuu7lmip/ZsGn9g+toLKqMzPwbWkb4mzj+TubgL3bkmt3ZWKk3f8HWdbcFQXnbUw99YvOrb/qR/3zdVdc/c8n28hPIid6GNYKo5+J6Ic8dT4njHodPGUSJhSW1Xd6p2YR2T+fdnmtSL0nqFUklUDi2bohLIfDsFNMQuI6gEmSM15s8uh+mZyq8apPk4k2KxV5KGGt3BUMoHCul5Dd56oDJ48+PM1GpcsW2FqeXUprdjF5ETltFF45CD4WanZT5pYy5JZtWxyNLtYruqtGIXghxbGIaJuunQJqK7Wu7LHV7WMJmMXSYGh/rRXL8iQt23PjMz/7Ej/znj/7pJzaXy+Vtprvhtv2HwnkpxN8rcMPfowg+fHjlKdBGZp2Zs/sxTfO3pJS/ZQZXyTe+pvKRqZEz2+a709cfOHpclt2YuXZM62BMHDusm8rYsCbj0Kk2rU6JVZMpY2XBWCBZN5myajTCkIpWx2H9pMEVF0QszRp4tqBRSVjqdrjtwTJTZYsrdlhsXNvioX0p7VD30Q0DfC9Byhafu7vClnGTklfnzVedZfcLXeaaFt2enlY++JzDsdMOFUdH8FOzKRAzXjepN1xUmlIJBK4zx8ETPqWSiVAuW1e3qJVNwOaCTSaetzG9/tqpe3esb7ywZn3rg4aRpL7n8Sd//BG1deOGzvf7/fpeHn8vAT58jI5vgQFPKel1Fn/W8Zy6UZr5zVOfu90u+UfSIHAvL7nRFY47y+FT06wZdRhvtGj3fPYfN3Clxbb1KVEWk6gWp097rB6TjNllLtiQ8OhiSimwWDXW4849FvMLDldssrhwU49e1kKaVeIsF9s0M0wjI4xtYhGy54jL2gmLyy5wuOaikPsfU+zoKNIs4dkjNjK2qVRg9XjGqfkIy7bYe0xwVdli26oWjpVw356YdquH77Vph+OMjq+i6mePZXH4+LVXrJbrtr41yuTkvyPrzY+NVr7fb8nf6PH3HuArD9evAswD/xTg8L5vIYRxYxi2fuDY6fD91rOd7fXRDrffv4ertljsPaaXjhGL7Dno8NxRk05bcPGWkMOnPa7cvMDM6YSRagh0ObPgEDgWaycVZ5Z6CBIuWG0y30zpRRLPSQnjDqePlKkHEcrpcPRMwNYNDuNVBUbGbDPhyBnB0/ssrtqusKw2uzaZtHo9kkyy59ASs/Mmaydtzs46vOaKgMzaxSVbLfafqu9tp42bLcP8hlLcfdmrb/p+v+Tf1+P/cwBfeWzY+jqAu1utubtXr+eeCy5MNx89NZN97GtnsnXrGhun1jb+7ezsSbpJwkR9kb2nZkl6iruejGkEkn/wRsFEPWW2JbjtEZuzc5JKyWDr2iXueUpy0SaLTeMp+xUEvqTdUyy1I46ermCSsXMz3PNUylUtwVQF3nB5RJIITs5ITs87vPaSGN+dIwwbGKRI2eBNN5ZZWrTZuWkdzx+Y+68Xb91/aGLzDYZpTxhjG6wDAm4bHWl8v1/avxXH/+cBXhylUgPgtuLrfQenMU27tjh/+gHftzl4Jovf8Lrqv7qim74xDqHZCdn33G4yFdGoOWTCpt0OMGVExUvZc7hLHPnc/phNYIHrCnw3ZHZRUwIMkXLdhW3mFh02r5pleraE69usHg+YW1IkSlItCYLyCFdc/nq6YYk4TWj3vNs3TJz9nReOONYVF+/irW+evJs4WhD22Pf7Jfxbefz/AH+RY+umMYAF4MsAi/OnAJ5vdtOJLCXr9kLmz+xHShPHNjEtkySK48bqa35txG2//fRiN94xKjnbgtESJEpQ8zIsCSU/IstMGpU2s4slLvNatHoNa8cm6ys3f/WZX0uUbenNfRNhVlm19goULkopI4ytM8Chd+7665ca/vt4/P3qCX2fj49//j5ATNSsM9VD05EaKwmaMVRdLXIfOBmGEPhuQpJKSl6Pbs+lWuqw0K6LV19eX8wyzlQmXvv9/lf+3hz/Lyl4BOeohcVAAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE3OjU1OjM2KzAwOjAw2b2XaAAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxNzo1NTozNiswMDowMKjgL9QAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 15}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30384637
    {'hecke_orbit_code': 9007405664829476, 'n': 1, 'trace_an': 6}
  • id: 30384638
    {'hecke_orbit_code': 9007405664829476, 'n': 2, 'trace_an': 92}
  • id: 30384639
    {'hecke_orbit_code': 9007405664829476, 'n': 3, 'trace_an': 0}
  • id: 30384640
    {'hecke_orbit_code': 9007405664829476, 'n': 4, 'trace_an': -1392}
  • id: 30384641
    {'hecke_orbit_code': 9007405664829476, 'n': 5, 'trace_an': -8060}
  • id: 30384642
    {'hecke_orbit_code': 9007405664829476, 'n': 6, 'trace_an': 0}
  • id: 30384643
    {'hecke_orbit_code': 9007405664829476, 'n': 7, 'trace_an': 0}
  • id: 30384644
    {'hecke_orbit_code': 9007405664829476, 'n': 8, 'trace_an': -446272}
  • id: 30384645
    {'hecke_orbit_code': 9007405664829476, 'n': 9, 'trace_an': 0}
  • id: 30384646
    {'hecke_orbit_code': 9007405664829476, 'n': 10, 'trace_an': 5796840}
  • id: 30384647
    {'hecke_orbit_code': 9007405664829476, 'n': 11, 'trace_an': 0}
  • id: 30384648
    {'hecke_orbit_code': 9007405664829476, 'n': 12, 'trace_an': 0}
  • id: 30384649
    {'hecke_orbit_code': 9007405664829476, 'n': 13, 'trace_an': -80775396}
  • id: 30384650
    {'hecke_orbit_code': 9007405664829476, 'n': 14, 'trace_an': -175232064}
  • id: 30384651
    {'hecke_orbit_code': 9007405664829476, 'n': 15, 'trace_an': 0}
  • id: 30384652
    {'hecke_orbit_code': 9007405664829476, 'n': 16, 'trace_an': -353013504}
  • id: 30384653
    {'hecke_orbit_code': 9007405664829476, 'n': 17, 'trace_an': 120131764}
  • id: 30384654
    {'hecke_orbit_code': 9007405664829476, 'n': 18, 'trace_an': 0}
  • id: 30384655
    {'hecke_orbit_code': 9007405664829476, 'n': 19, 'trace_an': 0}
  • id: 30384656
    {'hecke_orbit_code': 9007405664829476, 'n': 20, 'trace_an': 5047343200}
  • id: 30384657
    {'hecke_orbit_code': 9007405664829476, 'n': 21, 'trace_an': 0}
  • id: 30384658
    {'hecke_orbit_code': 9007405664829476, 'n': 22, 'trace_an': 9916985760}
  • id: 30384659
    {'hecke_orbit_code': 9007405664829476, 'n': 23, 'trace_an': 0}
  • id: 30384660
    {'hecke_orbit_code': 9007405664829476, 'n': 24, 'trace_an': 0}
  • id: 30384661
    {'hecke_orbit_code': 9007405664829476, 'n': 25, 'trace_an': 3942973410}
  • id: 30384662
    {'hecke_orbit_code': 9007405664829476, 'n': 26, 'trace_an': -39549467048}
  • id: 30384663
    {'hecke_orbit_code': 9007405664829476, 'n': 27, 'trace_an': 0}
  • id: 30384664
    {'hecke_orbit_code': 9007405664829476, 'n': 28, 'trace_an': -65094731520}
  • id: 30384665
    {'hecke_orbit_code': 9007405664829476, 'n': 29, 'trace_an': 8035796644}
  • id: 30384666
    {'hecke_orbit_code': 9007405664829476, 'n': 30, 'trace_an': 0}
  • id: 30384667
    {'hecke_orbit_code': 9007405664829476, 'n': 31, 'trace_an': 0}
  • id: 30384668
    {'hecke_orbit_code': 9007405664829476, 'n': 32, 'trace_an': 85711465472}
  • id: 30384669
    {'hecke_orbit_code': 9007405664829476, 'n': 33, 'trace_an': 0}
  • id: 30384670
    {'hecke_orbit_code': 9007405664829476, 'n': 34, 'trace_an': 98089165512}
  • id: 30384671
    {'hecke_orbit_code': 9007405664829476, 'n': 35, 'trace_an': 0}
  • id: 30384672
    {'hecke_orbit_code': 9007405664829476, 'n': 36, 'trace_an': 0}
  • id: 30384673
    {'hecke_orbit_code': 9007405664829476, 'n': 37, 'trace_an': 31334118396}
  • id: 30384674
    {'hecke_orbit_code': 9007405664829476, 'n': 38, 'trace_an': 165268841760}
  • id: 30384675
    {'hecke_orbit_code': 9007405664829476, 'n': 39, 'trace_an': 0}
  • id: 30384676
    {'hecke_orbit_code': 9007405664829476, 'n': 40, 'trace_an': 435607171200}
  • id: 30384677
    {'hecke_orbit_code': 9007405664829476, 'n': 41, 'trace_an': -83362750892}
  • id: 30384678
    {'hecke_orbit_code': 9007405664829476, 'n': 42, 'trace_an': 0}
  • id: 30384679
    {'hecke_orbit_code': 9007405664829476, 'n': 43, 'trace_an': 0}
  • id: 30384680
    {'hecke_orbit_code': 9007405664829476, 'n': 44, 'trace_an': -915657452160}
  • id: 30384681
    {'hecke_orbit_code': 9007405664829476, 'n': 45, 'trace_an': 0}
  • id: 30384682
    {'hecke_orbit_code': 9007405664829476, 'n': 46, 'trace_an': -1712365889856}
  • id: 30384683
    {'hecke_orbit_code': 9007405664829476, 'n': 47, 'trace_an': 0}
  • id: 30384684
    {'hecke_orbit_code': 9007405664829476, 'n': 48, 'trace_an': 0}
  • id: 30384685
    {'hecke_orbit_code': 9007405664829476, 'n': 49, 'trace_an': -551978693658}
  • id: 30384686
    {'hecke_orbit_code': 9007405664829476, 'n': 50, 'trace_an': 1639579094580}
  • id: 30384687
    {'hecke_orbit_code': 9007405664829476, 'n': 51, 'trace_an': 0}
  • id: 30384688
    {'hecke_orbit_code': 9007405664829476, 'n': 52, 'trace_an': 1057159118496}
  • id: 30384689
    {'hecke_orbit_code': 9007405664829476, 'n': 53, 'trace_an': -76712275004}
  • id: 30384690
    {'hecke_orbit_code': 9007405664829476, 'n': 54, 'trace_an': 0}
  • id: 30384691
    {'hecke_orbit_code': 9007405664829476, 'n': 55, 'trace_an': 0}
  • id: 30384692
    {'hecke_orbit_code': 9007405664829476, 'n': 56, 'trace_an': 560223046656}
  • id: 30384693
    {'hecke_orbit_code': 9007405664829476, 'n': 57, 'trace_an': 0}
  • id: 30384694
    {'hecke_orbit_code': 9007405664829476, 'n': 58, 'trace_an': 4483777382184}
  • id: 30384695
    {'hecke_orbit_code': 9007405664829476, 'n': 59, 'trace_an': 0}
  • id: 30384696
    {'hecke_orbit_code': 9007405664829476, 'n': 60, 'trace_an': 0}
  • id: 30384697
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    {'hecke_orbit_code': 9007405664829476, 'n': 887, 'trace_an': 0}
  • id: 30384880
    {'hecke_orbit_code': 9007405664829476, 'n': 907, 'trace_an': 0}
  • id: 30384881
    {'hecke_orbit_code': 9007405664829476, 'n': 911, 'trace_an': 0}
  • id: 30384882
    {'hecke_orbit_code': 9007405664829476, 'n': 919, 'trace_an': 0}
  • id: 30384883
    {'hecke_orbit_code': 9007405664829476, 'n': 929, 'trace_an': -1117381962820394213516}
  • id: 30384884
    {'hecke_orbit_code': 9007405664829476, 'n': 937, 'trace_an': 994152490677405020076}
  • id: 30384885
    {'hecke_orbit_code': 9007405664829476, 'n': 941, 'trace_an': 1981120851202321187428}
  • id: 30384886
    {'hecke_orbit_code': 9007405664829476, 'n': 947, 'trace_an': 0}
  • id: 30384887
    {'hecke_orbit_code': 9007405664829476, 'n': 953, 'trace_an': -4906641837066684991724}
  • id: 30384888
    {'hecke_orbit_code': 9007405664829476, 'n': 961, 'trace_an': -889210079699007119994}
  • id: 30384889
    {'hecke_orbit_code': 9007405664829476, 'n': 967, 'trace_an': 0}
  • id: 30384890
    {'hecke_orbit_code': 9007405664829476, 'n': 971, 'trace_an': 0}
  • id: 30384891
    {'hecke_orbit_code': 9007405664829476, 'n': 977, 'trace_an': -3975130777399905303116}
  • id: 30384892
    {'hecke_orbit_code': 9007405664829476, 'n': 983, 'trace_an': 0}
  • id: 30384893
    {'hecke_orbit_code': 9007405664829476, 'n': 991, 'trace_an': 0}
  • id: 30384894
    {'hecke_orbit_code': 9007405664829476, 'n': 997, 'trace_an': -3272036044296387441924}