Embedded newform data - 400.8.c.r.49.4

Formats: - HTML - YAML - JSON - 2025-09-15T14:26:36.020695

• 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': 25600, 'analytic_conductor': 124.9540101936487, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [400, 2, [351, 101, 177], [2, 2, 1]], 'cm_discs': [], 'conrey_index': 49, 'dim': 4, 'field_disc': 101687056, 'field_disc_factorization': [[2, 4], [2521, 2]], 'field_poly': [396900, 0, 1261, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [4498641, 0, 5842, 0, 1]]], 'hecke_orbit': 18, 'hecke_orbit_code': 76561331238470032, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 100, 'hecke_ring_index_factorization': [[2, 2], [5, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 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': '400.8.c.r', 'level': 400, '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, 5], 'level_radical': 10, 'minimal_twist': '100.8.a.b', 'nf_label': '4.0.101687056.1', 'prim_orbit_index': 2, 'qexp_display': 'q+(-\\beta _{1}+4\\beta _{2})q^{3}+(6\\beta _{1}-28\\beta _{2})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '7.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '400.8.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1250252340242426629, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.038', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.741', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.289', 'prec': 17}, {'__RealLiteral__': 0, 'data': '72.333', 'prec': 20}, {'__RealLiteral__': 0, 'data': '98.010', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1970.560', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, -2936, 0, -4560, 0, 0, 0, 0, 0, 0, 0, 41936, 0, 71704, 0, 0, 0, 0, 0, 0, 0, 461904, 0, -429344, 0, 0, 0, 0, 0, 0, 0, -1787504, 0, 898164, 0, 0, 0, 0, 0, 0, 0, 2852748, 0, -5521488, 0, 0, 0, 0, 0, 0, 0, -1887648, 0, 2532728, 0, 0, 0, 0, 0, 0, 0, 3370152, 0, -7233552, 0, 0, 0, 0, 0, 0, 0, -6079792, 0, -7263484, 0, 0, 0, 0, 0, 0, 0, -6478524, 0, 10939424, 0, 0, 0, 0, 0, 0, 0, 21498240, 0, -46741656, 0, 0, 0, 0, 0, 0, 0, -56768072, 0, -4336144, 0, 0, 0, 0, 0, 0, 0, 34294128, 0, -52330184, 0, 0, 0, 0, 0, 0, 0, -102840400, 0, 41174880, 0, 0, 0, 0, 0, 0, 0, -105596944, 0, 32564928, 0, 0, 0, 0, 0, 0, 0, 38419056, 0, -34988240, 0, 0, 0, 0, 0, 0, 0, -214790208, 0, -19779312, 0, 0, 0, 0, 0, 0, 0, -23139756, 0, -387754624, 0, 0, 0, 0, 0, 0, 0, -232774512, 0, 8875400, 0, 0, 0, 0, 0, 0, 0, -687688, 0, -247232352, 0, 0, 0, 0, 0, 0, 0, -288931072, 0, 51174124, 0, 0, 0, 0, 0, 0, 0, -449402340, 0, -397286576, 0, 0, 0, 0, 0, 0, 0, -303284144, 0, -835717728, 0, 0, 0, 0, 0, 0, 0, 87337936, 0, -199725360, 0, 0, 0, 0, 0, 0, 0, 301364016, 0, -667722364, 0, 0, 0, 0, 0, 0, 0, -755882268, 0, 360008400, 0, 0, 0, 0, 0, 0, 0, 55401664, 0, -1137690336, 0, 0, 0, 0, 0, 0, 0, -1362864768, 0, -275124320, 0, 0, 0, 0, 0, 0, 0, 254634496, 0, -564514536, 0, 0, 0, 0, 0, 0, 0, -1089118624, 0, -146760064, 0, 0, 0, 0, 0, 0, 0, 535458912, 0, 650303200, 0, 0, 0, 0, 0, 0, 0, 2141640608, 0, 965753232, 0, 0, 0, 0, 0, 0, 0, -1425054960, 0, 1185767988, 0, 0, 0, 0, 0, 0, 0, -274421568, 0, -1743675152, 0, 0, 0, 0, 0, 0, 0, -2705725488, 0, 421385160, 0, 0, 0, 0, 0, 0, 0, 3251317720, 0, -257755312, 0, 0, 0, 0, 0, 0, 0, 1583317104, 0, 4762210968, 0, 0, 0, 0, 0, 0, 0, 2680568424, 0, 1270470048, 0, 0, 0, 0, 0, 0, 0, -1314046768, 0, 3404015944, 0, 0, 0, 0, 0, 0, 0, -2646340824, 0, 1325081664, 0, 0, 0, 0, 0, 0, 0, 3072073136, 0, -2557907820, 0, 0, 0, 0, 0, 0, 0, 2034662284, 0, -363726576, 0, 0, 0, 0, 0, 0, 0, 6071334096, 0, 3599483504, 0, 0, 0, 0, 0, 0, 0, 4669678560, 0, 9445937616, 0, 0, 0, 0, 0, 0, 0, 2903589488, 0, -1416272232, 0, 0, 0, 0, 0, 0, 0, -4083656676, 0, 2733391440, 0, 0, 0, 0, 0, 0, 0, 1337246736, 0, -8879220720, 0, 0, 0, 0, 0, 0, 0, -432729544, 0, 1618224224, 0, 0, 0, 0, 0, 0, 0, 13016652096, 0, -29972864, 0, 0, 0, 0, 0, 0, 0, 5981743220, 0, 3918568800, 0, 0, 0, 0, 0, 0, 0, -3452004064, 0, 6673710336, 0, 0, 0, 0, 0, 0, 0, -6169928616, 0, 1794089264, 0, 0, 0, 0, 0, 0, 0, 12269259552, 0, 996606036, 0, 0, 0, 0, 0, 0, 0, 12056577932, 0, -14877941568, 0, 0, 0, 0, 0, 0, 0, -2489782320, 0, 5619092576, 0, 0, 0, 0, 0, 0, 0, 7797416048, 0, 22512794736, 0, 0, 0, 0, 0, 0, 0, -15311364800, 0, 16824461220, 0, 0, 0, 0, 0, 0, 0, 563710620, 0, -22321938752, 0, 0, 0, 0, 0, 0, 0, -28403563952, 0, 4519477608, 0, 0, 0, 0, 0, 0, 0, -3162591496, 0, -7569130656, 0, 0, 0, 0, 0, 0, 0, 2232749520, 0, -5600755060, 0, 0, 0, 0, 0, 0, 0, 13471334304, 0, 3341424768, 0, 0, 0, 0, 0, 0, 0, -8617982560, 0, 4073976456, 0, 0, 0, 0, 0, 0, 0, -10578461208, 0, -8099941568, 0, 0, 0, 0, 0, 0, 0, 18523500768, 0, -12661285752, 0, 0, 0, 0, 0, 0, 0, -16144490880, 0, -7303144544, 0, 0, 0, 0, 0, 0, 0, -12352096464, 0, -6505291888, 0, 0, 0, 0, 0, 0, 0, -30072298480, 0, 7976183280, 0, 0, 0, 0, 0, 0, 0, 366858784, 0, -24338876112, 0, 0, 0, 0, 0, 0, 0, -33909238848, 0, 6810973168, 0, 0, 0, 0, 0, 0, 0, -3530042208, 0, -19758632160, 0, 0, 0, 0, 0, 0, 0, -7346852336, 0, 27224172128, 0, 0, 0, 0, 0, 0, 0, 32758791696, 0, -13778258048, 0, 0, 0, 0, 0, 0, 0, 15089588332, 0, -54280564800, 0, 0, 0, 0, 0, 0, 0, -26014899520, 0, -70501363936, 0, 0, 0, 0, 0, 0, 0, -6215438328, 0, 32417789776, 0, 0, 0, 0, 0, 0, 0, -4767684480, 0, -10594577292, 0, 0, 0, 0, 0, 0, 0, -47318452532, 0, -82999157568, 0, 0, 0, 0, 0, 0, 0, -64477183824, 0, 23112082080, 0, 0, 0, 0, 0, 0, 0, -24052101816, 0, 16449007728, 0, 0, 0, 0, 0, 0, 0, 37481278896, 0, -45196865784, 0, 0, 0, 0, 0, 0, 0, 42429703896, 0, -62793968576, 0, 0, 0, 0, 0, 0, 0, -23324948416, 0, 79800198504, 0, 0, 0, 0, 0, 0, 0, 30316025728, 0, -5779970512, 0, 0, 0, 0, 0, 0, 0, -1856645568, 0, 23872634668, 0, 0, 0, 0, 0, 0, 0, 9931108148, 0, -17578596768, 0, 0, 0, 0, 0, 0, 0, -86132527504, 0, -5608347336, 0, 0, 0, 0, 0, 0, 0, 32537768280, 0, 5218097744, 0, 0, 0, 0, 0, 0, 0, 5398147440, 0, 93991589208, 0, 0, 0, 0, 0, 0, 0, -19592166064, 0, 21331084560, 0, 0, 0, 0, 0, 0, 0, -46583979744, 0, -87376526856, 0, 0, 0, 0, 0, 0, 0, 77653441104, 0, -17100757728, 0, 0, 0, 0, 0, 0, 0, 132095467904, 0, 88326663364, 0, 0, 0, 0, 0, 0, 0, 120594543432, 0, 14915318832, 0, 0, 0, 0, 0, 0, 0, 49334372224, 0, 17022983808, 0, 0, 0, 0, 0, 0, 0, -47875869664, 0, 213944464032, 0, 0, 0, 0, 0, 0, 0, 2628129456, 0, -63739498860, 0, 0, 0, 0, 0, 0, 0, -264976589892, 0, -77764637424, 0, 0, 0, 0, 0, 0, 0, -48810597840, 0, 81188977648, 0, 0, 0, 0, 0, 0, 0, 17121108000, 0, 132817005616, 0, 0, 0, 0, 0, 0, 0, 121818819568, 0], 'weight': 8, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 1.5013151426711742], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.4862379225787976], [0.0, 0.0], [-1.2539471576137682, 0.0], [0.0, 0.0], [-0.7700727136226517, 0.0], [0.0, 0.0], [0.0, 1.3271260885649416], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.7897939544977348], [0.0, 0.0], [1.8369133296962086, 0.0], [0.0, 0.0], [0.7299963561085229, 0.0], [0.0, 0.0], [0.0, -0.2306599918271793], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.3812547131638534], [0.0, 0.0], [1.6361574482133954, 0.0], [0.0, 0.0], [-0.601706193057725, 0.0], [0.0, 0.0], [0.0, -1.1561218259195696], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.7873464563505016], [0.0, 0.0], [-1.9924344929965125, 0.0], [0.0, 0.0], [-0.43324257930196797, 0.0], [0.0, 0.0], [0.0, 1.461950780378225], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.0628846749040681], [0.0, 0.0], [0.7635726826462552, 0.0], [0.0, 0.0], [-2.6870447661487717, 0.0], [0.0, 0.0], [0.0, 0.8599540329260674], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 2.757785797647445], [0.0, 0.0], [0.984147188820768, 0.0], [0.0, 0.0], [-0.3208719852033237, 0.0], [0.0, 0.0], [0.0, 0.6097166609417067], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.48746306347427915], [0.0, 0.0], [0.3462933385385536, 0.0], [0.0, 0.0], [-1.1450493487281415, 0.0], [0.0, 0.0], [0.0, 0.3963700641027394], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.3744385565064955], [0.0, 0.0], [-0.9933930916034305, 0.0], [0.0, 0.0], [-0.68156368352612, 0.0], [0.0, 0.0], [0.0, 0.6996598004499991], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 2.456387952796998], [0.0, 0.0], [0.6914077820744328, 0.0], [0.0, 0.0], [0.6452990323039426, 0.0], [0.0, 0.0], [0.0, -0.9033506190765875], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.3485169627081603], [0.0, 0.0], [0.9656304904030453, 0.0], [0.0, 0.0], [-1.6496309316013609, 0.0], [0.0, 0.0], [0.0, -1.5911671656235864], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.06774350285678353], [0.0, 0.0], [-1.413523996770644, 0.0], [0.0, 0.0], [-1.1820551574474967, 0.0], [0.0, 0.0], [0.0, 0.9835931088118756], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.6641459865510864], [0.0, 0.0], [0.8702656942790696, 0.0], [0.0, 0.0], [-0.4069880157338455, 0.0], [0.0, 0.0], [0.0, -0.6504336447559615], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.463184941376333], [0.0, 0.0], [-2.1948488444217693, 0.0], [0.0, 0.0], [1.5370359494823804, 0.0], [0.0, 0.0], [0.0, -0.8931769213887865], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.17156642046554427], [0.0, 0.0], [-1.8212906418082369, 0.0], [0.0, 0.0], [1.5957248573466059, 0.0], [0.0, 0.0], [0.0, -1.02198358834062], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.1463632309868739], [0.0, 0.0], [1.4950876883630075, 0.0], [0.0, 0.0], [1.2199049188147482, 0.0], [0.0, 0.0], [0.0, -2.2443070419567404], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.287192952227473], [0.0, 0.0], [-1.2910620116330505, 0.0], [0.0, 0.0], [-0.11215563524809011, 0.0], [0.0, 0.0], [0.0, -0.9139381476122824], [0.0, 0.0], [0.0, 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-0.15735947448439946, -0.19385224815499763, -0.2364525745617906, -0.23497775695055334, 0.16245604275205316, 0.02634217756700054, -0.349521724341119, 0.04945349599171079, -0.2444513302941748, -0.3489100876806116, -0.3213283469184048, -0.34652933916942646, 0.028210926441299546, -0.42996649940052506, 0.17194698270715106, -0.2874868602879697, -0.3918835538318657, -0.15634288434856305, -0.41088425816737845, 0.10056889816290454, -0.22618701528898758, -0.27259540678046174, -0.43474963105356385, -0.4404186232547016, -0.380577769107086, -0.4509652816803318, -0.419162699692813, -0.18223016976316414, 0.11325987470396963, 0.010373683896446056, 0.05421368789178063, -0.36122579872819055, -0.17741133675484105, -0.1415243158511226, 0.03594770361641316, -0.19440158670795932, -0.3611368906673596, 0.10237677460688706, -0.4188020732794528, -0.29937310046919263, -0.43973112073381476, -0.38487054287529116, -0.22472453397921674, 0.002993200789833146], 'char_orbit_index': 3, 'conrey_index': 49, 'dual_conrey_index': 49, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': -24.604780421266383, 'embedding_root_real': 0.0, 'hecke_orbit': 18, 'hecke_orbit_code': 76561331238470032, 'label': '400.8.c.r.49.4', 'level': 400, 'weight': 8}
• mf_newspaces •

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

  
  {'Nk2': 25600, 'analytic_conductor': 124.9540101936487, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [400, 2, [351, 101, 177], [2, 2, 1]], 'conrey_index': 49, 'cusp_dim': 402, 'dim': 62, 'eis_dim': 36, 'eis_new_dim': 2, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 137573171600, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 6], 'label': '400.8.c', 'level': 400, '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, 5], 'level_radical': 10, 'mf_dim': 438, 'mf_new_dim': 64, 'num_forms': 21, 'prim_orbit_index': 2, 'relative_dim': 62, 'sturm_bound': 480, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [62, 0, 0, 0, 0, 0, 0, 0, -43738, 0, 7988, 0, 0, 0, 0, 0, 0, 0, 19428, 0, -2032, 0, 0, 0, 0, 0, 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135830261256, 0, 0, 0, 0, 0, 0, 0, -162373721772, 0, -192969191624, 0, 0, 0, 0, 0, 0, 0, 49435518312, 0, -125206404792, 0, 0, 0, 0, 0, 0, 0, 287930571008, 0, -51291702540, 0, 0, 0, 0, 0, 0, 0, -46820305064, 0, 170241939492, 0, 0, 0, 0, 0, 0, 0, -384533350640, 0, -26462910000, 0, 0, 0, 0, 0, 0, 0, 100875183092, 0, -52432971736, 0, 0, 0, 0, 0, 0, 0, 276329002568, 0, 60988936212, 0, 0, 0, 0, 0, 0, 0, -26300506564, 0, 36012245036, 0, 0, 0, 0, 0, 0, 0, -385420626272, 0, 61135633708, 0, 0, 0, 0, 0, 0, 0, -23221406536, 0, -101747565528, 0, 0, 0, 0, 0, 0, 0, 313879233728, 0, -53034049522, 0, 0, 0, 0, 0, 0, 0, 48647388900, 0, 242727423172, 0, 0, 0, 0, 0, 0, 0, -239196119132, 0, 126881826868, 0, 0, 0, 0, 0, 0, 0, 108892789544, 0, -304702949056, 0, 0, 0, 0, 0, 0, 0, 521821416072, 0], 'weight': 8, '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: 48149035
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 76561331238470032, 'source_is_minimal': False, 'source_label': '400.8.c.r.49.4', 'source_level': 400, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 76561331238470032, 'target_is_minimal': False, 'target_label': '400.8.c.r.49.4', 'target_level': 400, 'twist_class_label': '100.8.a.b.1.1', 'twist_class_level': 100, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 48149036
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 76561331238470032, 'source_is_minimal': False, 'source_label': '400.8.c.r.49.4', 'source_level': 400, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007336827912292, 'target_is_minimal': False, 'target_label': '100.8.c.c.49.1', 'target_level': 100, 'twist_class_label': '100.8.a.b.1.1', 'twist_class_level': 100, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 48149037
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 76561331238470032, 'source_is_minimal': False, 'source_label': '400.8.c.r.49.4', 'source_level': 400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 135107988955333008, 'target_is_minimal': False, 'target_label': '400.8.a.be.1.2', 'target_level': 400, 'twist_class_label': '100.8.a.b.1.1', 'twist_class_level': 100, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 48149038
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 76561331238470032, 'source_is_minimal': False, 'source_label': '400.8.c.r.49.4', 'source_level': 400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992681628048, 'target_is_minimal': False, 'target_label': '400.8.a.u.1.1', 'target_level': 400, 'twist_class_label': '100.8.a.b.1.1', 'twist_class_level': 100, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 48149039
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 76561331238470032, 'source_is_minimal': False, 'source_label': '400.8.c.r.49.4', 'source_level': 400, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561331238470032, 'target_is_minimal': False, 'target_label': '400.8.c.r.49.1', 'target_level': 400, 'twist_class_label': '100.8.a.b.1.1', 'twist_class_level': 100, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 8}
  • id: 48149040
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 76561331238470032, 'source_is_minimal': False, 'source_label': '400.8.c.r.49.4', 'source_level': 400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510799016329316, 'target_is_minimal': True, 'target_label': '100.8.a.d.1.2', 'target_level': 100, 'twist_class_label': '100.8.a.b.1.1', 'twist_class_level': 100, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 48149041
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 76561331238470032, 'source_is_minimal': False, 'source_label': '400.8.c.r.49.4', 'source_level': 400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599761588324, 'target_is_minimal': True, 'target_label': '100.8.a.b.1.1', 'target_level': 100, 'twist_class_label': '100.8.a.b.1.1', 'twist_class_level': 100, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 8}
  • id: 48149042
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 76561331238470032, 'source_is_minimal': False, 'source_label': '400.8.c.r.49.4', 'source_level': 400, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007336827912292, 'target_is_minimal': False, 'target_label': '100.8.c.c.49.4', 'target_level': 100, 'twist_class_label': '100.8.a.b.1.1', 'twist_class_level': 100, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 839625
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 76561331238470032, 'p': 2}
  • id: 839626
    {'charpoly_factorization': [[[4498641, 0, 5842, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 3}
  • id: 839627
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 76561331238470032, 'p': 5}
  • id: 839628
    {'charpoly_factorization': [[[5063176336, 0, 220712, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 7}
  • id: 839629
    {'charpoly_factorization': [[[-3805425, 2280, 1], 2]], 'hecke_orbit_code': 76561331238470032, 'p': 11}
  • id: 839630
    {'charpoly_factorization': [[[2934243292846336, 0, 137066912, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 13}
  • id: 839631
    {'charpoly_factorization': [[[66739493081734641, 0, 1365236658, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 17}
  • id: 839632
    {'charpoly_factorization': [[[-1864595969, -20968, 1], 2]], 'hecke_orbit_code': 76561331238470032, 'p': 19}
  • id: 839633
    {'charpoly_factorization': [[[108728575754746896, 0, 781361928, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 23}
  • id: 839634
    {'charpoly_factorization': [[[3451378176, -230952, 1], 2]], 'hecke_orbit_code': 76561331238470032, 'p': 29}
  • id: 839635
    {'charpoly_factorization': [[[11464294396, 214672, 1], 2]], 'hecke_orbit_code': 76561331238470032, 'p': 31}
  • id: 839636
    {'charpoly_factorization': [[[14247148757251736684176, 0, 300943702952, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 37}
  • id: 839637
    {'charpoly_factorization': [[[-122417065719, -449082, 1], 2]], 'hecke_orbit_code': 76561331238470032, 'p': 41}
  • id: 839638
    {'charpoly_factorization': [[[2791174535073369760000, 0, 585762375200, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 43}
  • id: 839639
    {'charpoly_factorization': [[[850851909936804279419136, 0, 2058952953888, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 47}
  • id: 839640
    {'charpoly_factorization': [[[1675644356686527830408976, 0, 2797581615048, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 53}
  • id: 839641
    {'charpoly_factorization': [[[-3875694814656, 943824, 1], 2]], 'hecke_orbit_code': 76561331238470032, 'p': 59}
  • id: 839642
    {'charpoly_factorization': [[[-1043925150476, -1266364, 1], 2]], 'hecke_orbit_code': 76561331238470032, 'p': 61}
  • id: 839643
    {'charpoly_factorization': [[[5431648244212327717214881, 0, 5211738739682, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 67}
  • id: 839644
    {'charpoly_factorization': [[[564685588944, 3616776, 1], 2]], 'hecke_orbit_code': 76561331238470032, 'p': 71}
  • id: 839645
    {'charpoly_factorization': [[[6652910618099272965051601, 0, 5568746701202, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 73}
  • id: 839646
    {'charpoly_factorization': [[[-5717491570196, 3039896, 1], 2]], 'hecke_orbit_code': 76561331238470032, 'p': 79}
  • id: 839647
    {'charpoly_factorization': [[[216821297309019702536318481, 0, 29606047257618, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, 'p': 83}
  • id: 839648
    {'charpoly_factorization': [[[-36039722681439, 3239262, 1], 2]], 'hecke_orbit_code': 76561331238470032, 'p': 89}
  • id: 839649
    {'charpoly_factorization': [[[925273530119206736570446096, 0, 104094215398472, 0, 1], 1]], 'hecke_orbit_code': 76561331238470032, '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': 3, 'hecke_orbit': 18, 'label': '400.8.c.r', 'level': 400, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEgcKGzDyWwAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vGXnXd+Lv5+yym6nl+maGWlmNCqWZHWrudvYGNsYY4KBEEPghpD2ujchpFxIXiGAb/hxIQkJHQwYDMbIGFu2LNuyujSSRn16r6efs/tqz/P7Y5W99pkRcAm5xuTul5f23ufIOnuv9Vmf5/P9fMsj+P8ef22PT3/uUaQUsy8fPj1qE2s3TTq4juS5E23ufcOEuOOa+tIjzydsmlyevHnvOfvi4c34rmR2sku9lggjd62BnZvcdA/ARmAV6AkhvtFf7Zv2ob/RH+Cb5XH05EWAHcYksxZhur2QP/7Mn7Br03m2b1zGVy7Hz34mWrFv/MleZ+VbtbDRuYsusxOCqNunvRa7584t/vqZcwKR9H/gzEgnvDC3yMZJON0PGaknTj8++We/+NsHf/K1s/eL//vf/eDPzp078Ud+/OJznbVDyuKBEFJJZw44Ualv+kafkm+Kx/9HDa/zOHB0ASv8MceeuLe78hJKyOjcyug/a/flO6SwhFHM88+/QL2yylWbmqy2FWfmK2AC4ihmvGE5dMbl2h0JFxYk4yMxjZrHsQuaxERM1QXnlyKu22k4ckYyMWJwXRff15xYkKx2YPdMzK5t4+zZ+wYsDlpBN9RfPnii//OJTZy33H0dV23f/Ag2WBVy5ht9yv5GPv4/gGeP1dVFLLyrXguuPHGybf7dL/6h+ei7RnZ0gpl/2Wkdo+a7nDxzkVZriTDSrHQliXXxHUvDs8y3Yo5c6LNpwme0olAiYmrEZddWRbcPQgacW9D0Qzi/JFC49IKIK7daZsc7SCS1asiG6TaHTk2wvFqh5id4OqLbNzQ7ijCOGRufolbfhNIB1+7awYuHln7m9t0XT2zZ9X0yFKNy07Q+BnxppDH5jT6lfyMe/8sD/MDLjyGFuHd5LXznK8eWvmPvjoU9Qcfl1z9zmDuuW2VxweH0YpfNk4qqB1OjhnMrHkpapDBsHEs4Pe9Tq1qeOxbQDQS+C0trsGNKU614zE7F3Htdi9dOjPDcQcGB0zF3XpuwadJQqwm2zq6yuKrwPegFlv2HJqlXJMfnXTaM95ECXJVwcVkxUouRJGyaiVhcqtOzhjffUOP0yjX49YS73zB6aG5l+tNhLB8Ugkfe9Y77vtGn+Bv6+F8O4O12k4rvjV+cW/yPv/I7D7pHzhxIfuh9/htXVkdu/v0H5pidPsVbb6jxlWdH6Zk13vFGzWMv+uzc0qPTc7iwoggigadj9m5JmBkPWG5LXjw+QhQLdm3qM99WXL+zx5GTDq2+Jgzg1r0dDp+t0qiEHDynuX23JIwCWn3Ni6ckN16R0Gw7XLk5JIwkL58QLLV9NozBnq1tXC0JI7i44tAOYq7a6PD1Fy1vvblD0Bvlgae73HfzGjfs3MK+I5tY6nWf+8hbl57fMHWDmtjy7rBan/hXSRyujI+NfKMvwf+rj7/1QebxE6dxHS0+9dnHePsdPSV7X/yl4yec3c/sv3j32dPn1MX5FkdPn2W23mDTRI0Xjk1y740rvHHPCF/aV+fZY12u2GC5sKDZOG3pnrdE1hJEDmcXJTMTAUJYdm0OOHBC47k9dm5wmVt0GGsIbt8b8dJRw8vHG3SjNttmQ97gjHB+CV48UmH3tpitk3B8XlDxIhCKI+c0lghpQ7ZMWeoVUCLEUQ7NHmyZVpy6ILh5T5uxao0vvyJojETceW2D51+Dx54/zpYt7ZttoG8+cPAkF576k8Spb9nbjN3Dv/rJP/iR+64jmdh0H9bEdnpm6zf6Ev1PffytBLg1h0BI2e90/ft/918Et77jP/4fxiTf+69/6VT0b77n8NU+I35n1afuQr8r2X8EvvftHa67ss6FZZ+HnvP49rvXuGHnBF99weXKLV1mR+ucuhBz656QQ2ddRmsRIHn1VJWN44blVc0TryU8cRSu32bZu0Wy0hY8dkDylmsjRmuK1Xadsxc1ay2LckK+792rnJ5rsNYW3LS7z/VXLuIwxtzSFGcXYe8Vhl4oOTnnMVbVHDwn2b0F2m3J7m1LbN/o89VnXU4t9/jQvYb5pTEOnoJmkHDjlSHCVDh0ostrxw+powsn7quPdW//+X9QvdUkb3SCfvA7b/vA//6fnnr+Na/WqPeTJDE3Xr3jG33p/toff6skirUWQPZ7vVHi5+6IIn715Zcvxk/sOz6x/9WLjZdPx4xPLfFvvivAJpt46UiFF49EHJnr8c47m9x1dY2XDo/yyMshoxMdPvgmySuH6jz2ao+rd8ZsHq+A7SG0wJGaYxc1042EZmCp+wGnFxJeO5tQV2O845YOq2t1njlguXa74KqtCUksOLPokCSGqzYLrtkR8cxrgpVOl7ffLKnULnD4VJ1TF8eoeoJ212FyJOb4RRdXByipsEazZXaFa7YpHn1hjOdORLz/3iYztVEe3e/zwskut9+wyntucTl2eooXDxteOh7RlR3+9fcssGl0msOnJ1nuTLdqY1csz2y+QidW/f3bbrzmqdnJ6lo3wNT8vz2w+FvD4N32KmurK1c88cLJzdftSD5N6+sjS4vna8cPuwRdj3oVNo5aXj41xuMH5/jgHatsaWqaHU2r5/Hpr9aYqLe4fpemH9Z4/FXL/U90+dDdTXy/zv6jDhsnOkw0XM7Oa1q9hG63R23GITKa8Zpi45jknmt7vHA0RkuB58Z41ZjnTihqdYfNkyFBDJsm4MbdizS7miAeIzKaV05JXjqyDU/5eG6CHg3oBTDS6LEdaHVczi4kTIx2mRqp8+AzLq+cCfnAfR02jzZ44iWfl0/22btzlb/z5oQjp8Y4fk5wbiHmYjPhvfe1uHZrhYMnaiytCk5dmG+cevpU40LbZ9u2rX+0YVI1nTj8jkTuPjc3v3Zqdmb0G31J/1oe3/QAz1h79/7nHt3Y6jq//ODXD131h3/yNfW/f/gCvp5hfGSCds/S7Wt6fUOrD594cJyNE8vcsUvT7U8SRA69sMozB0LCaJXrd4HnVtl3SPGZR5tce8Uad19f4+jZBotrfSpuzNSYYdcmxcVlxUpT0mon1CsBnuuweSrk5JyDlj0+8CbN84cdrt62xuhoiy/sr9LqeUyO1Nh/xGXvjjYTIw6nFgSbphx8P2LMT3C0RErBcwfHGal1qbgBV25RuLLC4y9bqtU1PnQf1J1Rvvasy6FzPa7fs8KNO+HshVkOnnA4dSHitXOWm69b5fvfHnFufgNzyz6Lq7DSjGn1BGcWQs6uPFd7y76nazNvuuuRHhydWwp+2Fp7wVgOK/nNzebftAB/9egyFveqo0eeeYOi908OHzlx7xe+epDnDzc516lhkjr/4iNNNk759AJFL3DpBw69wNK5UOELz9S485plbtytgDGsdXjx2Bi/dbjDh97S4o6rIyZHazx3cIwvP9Nnw2SfPdsE0yOa4xccuv2ITheaHYHWlk2TCSiJlCG9ruTiqg+mwvRIyJWbujzxskdAzAfvikjCKsfOSabGNJsmBMbELK5qWv2AXuTS7rhsmQyYaPRRSqK1IIo0x8/B1FiX26+P2TimOXJ6hMcPwYWVNjdf3+a77ks4e2GWFw57HD4d88KJhEi0ee+tffq9Sc7NV5lbliyuRiw3Y86tSITb5199dJl3v9Hh7Oln1YXl83tiZ8/DX/qafmRi3P0Fa1deguioEN+ciST1jf4Af5VHr32KjbPOFSeOHfz/nT5x6Cde3P/EFc88f5pmO0IrSRQqXj3jsHmmxZuuiYgilyjRGKuwVqAxnJlzObVkuGJDi9kxqHo+vqNRaF48rphb69NohFyz3bB7s0e743NuUeDqiMgqLqw6XFg0tEKB1pqZ0Zj5VcOpiy5jdYlAMz0esdK2XHdFHymrXFyusmuTx5HTHmeXLHuvCJhfkUSxQy9U7N4SIYSl3ZXMjMZMjQdMj4c4EppdhefBrs2C1dU6X32+wtELfcbHm7z5jT1u3+1x/Mw0Lx52ee1EzInFkPpok4+9q8M120Y4fXGUM3MOFxYT5pcjziwLjixa3n/XPD/wrphme4KFlRGW1yynTl/khVdPXOHr5CPS2m0rndmn/sE//NG1X/ovP/+NvvT/jx/fVOvP4SNnULoy1Wud+SfNxWeuW1trfeDY8dO0ej5rbVhpRiytxcyvWk6uCiYmm/z4dy5x264aJy9McGauyrkFxYWFhDNzEScWDbra4UN3d3jvrS5n5iY4eNLj2DnDwTMRieyzZTrkzusM26YlZ+ZqnJ2XrLQM/dggJYzVYWokZqWlaXUUY40QLTRjjQTfi3jmoMeOWcPUWMzFpQqOMpxfNkyPWXZsCHn6oIfrKibqoFTEZA1WO4LljmC6YRhvREgJQahYaWlOz2vOLMZsm+1zx3Uxm6c0JFUOnaxy/JzlwOmE08sB73rTKt9+d0BFjXHq4hinLmguLCRcWIo4s2g5smi55ZpFfuzDLWZGxji/OMr8ks/8isNyE5ZXQ1aaPbZccSX1kfH7v+0db3xl945Nv9Du9hcnZ7d/o6Hwl3580zD4n37ufhYWFxtL8wf/W9h66n8jOrLXhMu4jotFYYzEWoE1BoFFWjg15/PcMcFVm5vs3WYAB1BIqdFK4inLwpLDoXOKvumxZ1uLnZsMU2Oa2TEXV3gsNz3OzglOXhS8fApOXQxZXA1othP6kYPvukzVLZumI4RI6AWaK2YjHGWJjCBKXJZbkl7g4GqBsIapUcPkSMJKy6PVE/Rjh9WuYHbEsNw0nJlX+I7L7DhsngqZmegzPREwOxGwecaydVZx9RaHiqpx8kyDp1912X8k5uXTEYlq8567mnzgTktFTXDk9CgnL2jOLyTMZeA+tmS5+ZpF/u1HV9kyOcKFhVEWVn2Wmw6rLclqO6HZSVhtCw6eWObkxdbVF+bn78a0rkji1oPf873fFf7mb37yGw2Jv9TjbzSDh0Gb42cDxhrqp5fnj9/58CN/LOvVtTtH/RP6DTtrLK42WF6rstx0WW5qlpuw0kxYaUYsryXMrcHxZcHU5Br/7nuXuWVXlbPz41xYqHFhSTO/bJlbijm3mLDQjhkd7/Om6zrctgdcWcFTHvMrPheXNHMrgm4AcWzwXUPNTxgbiTHA6bmYVge2zTjUKgHWChAunZ5h62zA8poGm0qRtQ4EMVgsK82QTdMO7Z5CKIswAQ3fYeuGPmtdwekLmsRoJhqSui/wHIhjQTeQzK1ILi5b5ldjPK8PTsztezvceY1gqlFhebXB2XmPC0swvxQzvxJzfgWOL1veuHeJf/+9q8yONjgzN87ccoXFVZelpmRlLWG1FbHaSlhpWxbbgjNrgr1XLHLTVTPxxtnJJ7/tne8z1+y54kmh4x9fXqkwOVH/RkPldR9/Y4PMn/jF+3G9OiurSz/1xQcf/mdfe3qf98KxJjftvsh33NNjYtQQxZokUSRGkBgwRmOtIjVWQIgEISwnlsf4d78n+KmPzXPj9pB6ZZxapU6j6lGvOow2FPPLirlVzVef8nngiZirtnTZsyNmZbXH1VsCvuudhihWCCx/9rTPQtOnkgScuqjodOpcf2XCQivm4GGHXVskRy/A7buh2YbQaDwdMlmDI+crVCsRnooZqQvW2nDr1W2On/PYtc1w8kLAa8fT/56zpc/xectIPWClFfL5r1axQpEkCffe0OWOGy1zaw437uyzc6NDHDXo9iocPOEztyRYXE1YWI2ZXzGcWRHMd0Ju2LXM//ndHaYaY5y+OMr8coXFNYflpmS1mdBsRzQ7CWtdy2oXFnuSdjdCyw7bZw7rm66avOfQS5+gs3bPHVddfY+ZnKz/6/njv8PMzu/9RkPmso+/kQz+p5//A973nqr6uV/p/J+Hj53+16J7Tr1wLOb0smItMFy9bYGf+6FFbthZZX55jOVmlZWmz0rTYaWlWW3DajNhtRWz0o5ZasLZVYGu9LnjmhW+856Q7dM11joNFlYqLK64LDUFK81UIqy2Da2eoRVYuv2YiUbE1hkDCDzHcm7BQUiPbdOK7RstG6e7zK8GvHS0zk1XWaqVVV49Nk69FhKGDhNjhl4frt7a55MPj7J7S0wQWCZHJFHSo+57vHaqT8WpccOumJdPhMwvu2ya8Ni+AbbOhigVcW4JXMcihGXbTMxYXdLueXS6Dq2uw0pLsbIGy03DSjNhqZkw14TlfsLWTR2+894l7tij8Z0GF5caLK36LK1pVlqC1aZhrR2x2k5Y61iWOzDXVsyvxdyyZ46f+aElrtpYp9WtceZileMXqtx8w3iSiB0/9Wev7fz3t207n3zLO777Gw2dSx5/owDeWn0Kpf2KiE5v/eyDpz/cXFn8D8++OMexc4oosaz1BAtdxYV2zBt3zPFzP7zC9TsqLKyOsbxWZbXls9JyWG1pVlvQbBvW2jGr7ZiVlmW+KbjQsSA6fOCuJu++xbBjg08YVllt+qx1XJptxWpH0O4K+oEljC1JAkpaPAcqnmW0YZkej9BOn+MXQ1455mHiGu+8NUQ7azx/cIQrNsAX98Xcda3HQrOHrxVxEjE+BnHkoJ2Y5eUqb7qxxRefqrN9Azx3NMChyjtuMcSixyvHE06e89HSZWZMM1YTVDyB6wqUgNhAGFn6IbS7lrWOod01rHUNyx1LL0nYtrnLu29r8oE7QzB1ltdGWFipsJyTQRPW2gnNTsxaBu6VLlxsKRZbCW/cNc/Hf3iBvdsqLK2Ostqu0up4hJHklePQEzNs3TzxbxJn1x/dfP22M+1Ov3fXLTd9o6FUPP7GADxoHsRtbHKPHX7x+0+ceu2XDrz2qnj1sJVxLGh1La2eod2DtZ5koSe52I645coFfvYHl7nxSp+ltVGW12qstjzW2i6rbc1aW9Bs23TJbcc0O4bVjmWhLbjYNIyNdnnbG9vcvidm24yiUXFotX08RwKKMJYYIzAWun1AGMbqfY6etxgb8tBzNYJuhSs3udxxXZfIrPHo/lFuuMrh6FyH5mqD267r8tXnPWbGLQdPW/7h+1scPOUxMy75yn7FHVcrVrotTpwd54ZdIY++0iMOqty+12Xnlj69uMOXn1eQCI6f0zSqGi2g25MYK0iMJYoBadCuodmx1OoRWzYE3Hl1l7fdFDNR85lfGWF5rcJqKz03qy1BswPNdkyzE9PsJDS7lpWuZK4tWGrH3Lp7kZ/6wUWu3+6zuDbCWgbuVtel2dE0O5Igiji7ZM11115vd+687kd09cbfioJz4X23X/mNhhTwNwTgqy0rO93ee59+/P4rN0+vffz3PvOKI6XC1x7LzZggTOj0DZ2+pd0TNHuChZ7kQjPm9qsX+OkfXOSmnS5rrREWV+s0Oz5rbZe1jqbZVjS70O5YWt2YVieh0zM0u5bFjmCxA1EScP1VPWbHEzpdy7tuC7hi1hAnEi0tYQSPvORzZsFnw1jMq8d9MFX2bFbcuNvg+V2eP9plcanGNVfUaIyu8tTLDjdf5bPcXWN1tcHsrGXfQcV3v7nDswc1m6cdljpNVlfGufHqLk+9mjBeGeWaKzssNJvsOzBKRdd4427Lrq19kB1eOimYHo+YX4x49CWHfqSQEhJjuWJDyNtuC2l3FBvHDDdeBWFYZaVZZaXpsdZxaHUVzY6k1YFWN6HVSWh3E1pdw1rXstKTnG8Jmr2AO3Yt8u9/YJU3XpXeHM12hVbXo911aPc07a6iF0iWm6B1B2yCP3lLdOVm/1+89z3fekw7lc8L4ZpvNLa+4UHm0kqHIGh+74GDT/78ubNHxs+fPsUNV41w/JwPWOrV9CKmj9QCFMIipUVKzbNHZvjxX9e8/44VPvLmFbZvCplbbuC5FSqeS9VzqFU07Yqk3nMYqWm6/YROL2EmMPQCS7vvsbLoc+6sJYwN5+diPM8CAldZtBR0ewqBQ9zVvOEKwc6Nlq2bugRJmy89qzh0bIy33+Rx49WrfOJLFldUuWJTl5efUmwaVUw2uviqQhg5LLSh5ms2zwhePBRy464K99ywxG9/oYfr1HnrrRbH6/K1fSFffKbGgZMVdmyscsWGhKmxkO2TEddekaCUQSsLWKqex9SoRxg5tLsurx516PQ13Z6i05d0etDpWzrd9Lu3ewmdnqXVs6z1YLGrmF+1VEea/Og7F/m2OwKu31Hj4lKDZsenXYBb0Sn+m4I4scRJhZMXQqoLzzhxZ8PPb93y6MoNN9z7z6zp/raQ1W8ovr6hAO/3+gghfuCLDz31008++6fjN2wLOXNxHH9EMj0O7a4gt+oFIARIkXbSKGlRMsGVkpePTvHCkRpHLyzw/js73Lm3z2i9wUqzSq3l0+i5dLo6vTh9Sa+v6QaafmDph4YwskSRzS6WJYxdrAGpBI4W+K5gtC4Yq8PspGHzTJfJsSYPPg+PveAgzQhvv8nhDXvaPHEgIuw3uOMNgmavx8Jyjdt3GSZHu1S0Rz9WLLYilBG8YZemWg/Yf9jn7htHuO36NvsPK7Aj3LTX5WPvWeGrL4Z85dkaB8/4bJ1SzI5XGKtXGalDxQNHW5QEY+HgSUGSCKJYEMYQRKTfMUjoBYZ+YOj2Dd3A0OlBK4DFjmShDYHp85YbVnjvnU3+zlsNcdxgbqlGq+PT7rl0eg6dnqLdU3T7gm5f0Assvb6h04uRQEX5PPLsRaqVL4y7qvp/XbX7TbrX6f16pVb5Xw/gB0+vcnIx+Viw+OhPnzv++LQNYHpM4UhLqwe+azBWIoRACIUQAinJwA1KWbSyOMpQcQRL3QqfengzX3uhxV3XrvHRt6xx7fYOE6NVlteqtHse3Z6TAVulRygIIkkUC+I4Xepzi1FJi9bgu1CtGMbrEZumu8R0OHo+4g8f9TlxtsaoV+HmvZrbr2ux70iTh55ucOtVPls3dPnkwwIlPBr1iLVOgLGgBEw1urTaLiau8N67FvjUF6vsnPd5961dwmiZR1+ZIEp8btk7zbtvbnHVliZf29/l5bNVXjrpsnlcMt4QVD2B66Q3oRQghMVYMMYSxdnNGlmCKL2R+yH0Qmj3BauBYKUNQve5YfcaH33bGnftTZhoVFhtVWm2K7S7Hp2+Q6c3WAm6gaTXh2524/T7CUFoiBPLyYuWTt9hft7we5/+6vStd4Y//e3vvdVaO/cbQsz+rwHw5574ReZXr2Ph2Ne/77WTvY8fOv7c5Fuvm2PbTANrNRU/xgJKShAgRA5yiZIaKROUEtnybHCUxdOWihas9hXLzTE+/UiNZ17tcMf1a3z0rWvcsLPJRFIhjj26fZ9Oz6EXaMJIEcWSOJEkRmCsSLOgwuK5hqof47khrhNwfjngC89Jjp1zOXluDGU8dm5wuXq74qY9LZS3yCvH62warXLNDpidWmWl1eDaTZLYWB581iPoSkZrMe+4pc/nH404M1dn95UOF9f6vHbCYcvMGNdvX+SJl9s89ZogCF32bB9nzxaPPZvbHL+4wrHz8OyhKkdP1KhqgaclNc/iO5CdMqxNb9Y4gTCGMBF0AkGrL2hFEJoYY/u88aoWH31bi7uuTdgw7tHvj7Dc9Gl3PDp9l25P0+krun1FLxD0+pJekPaN9oOEfpjQDwz9wNILDf3QIoFnXtN0k0Wu2Pbl6YcfWv74YnMs/sqDX/vE88eO8c//wQ/+7QX4g1/4E2ZG/iNR/LG/c/rs6V8MlpujdQGbptq4GtbaFVSmt1PWJmVrKVBKoJXKng1aJTha4GqD61g8x1J1E0Z9QTtwWG2N8ZnHGjz8Up+ZsS4fvrfJni19+r0O12y3bJlVBJGTJYrSNL/AIqXB0Qmn5y0n5wRrPcPnnqhyfmkMGzqM+YqNE5pts5odm+CanS2MXOJXP19jZWWEW/dortnZ5GsvCUTsMD0mqVVjupGLtBKsRGmXZl8wvyLYa6vce1ObJ/dX2Djpcus14/y99yzxW19s8+zhGp2+w/Jane0bK+ze0OWWXW0+eHebCysrfO4Jj+Wux+mLDufPuzhKIKVEIDDWkhiIjCWJDWMTEdft7RIEEXu2BHzo3oDpEcV43SOKfC4u+nR7Lt0gXeV6BbBlCu5A0A9IV4IgoR8agjBJJVBkM5BDPxasrBiUZzl9qs8Lrzw2Obtp6hcnp3ZGn3/uod//5B/cz3d/1wf+9gH8//j4p3jnd8+IP/iVf/YdzeW5X7v/K6vVmakW3/8tgrGGQxzH1CohUhqEcFKtLVOpIKVESYlWAq2yZy1wdIKrBa5j8B1LJbJUQ8uInzBWEXRDSTuscfJcjZ/9/XEwMSKOuem6LttnQ+IYjDVYmyZxpBBIJdCOy+EzLgeP+dR8Td2VTFYFUxOS6XHNxinFtg0Ju7etkYhl/vP9DU6fGeXWXQ57rkjoxW2efsVjtOIwMWIZrYdUK6kUMkbS7CtWOpblZkKzU+FN16zx3MEuh84oRhs+t+wd5Qffu8x//SzsP1aj07OstTXzKw1mJ6tMj/XZNtHn//iOLo1qk5dPwuGzEsexKGURwgA2/Z+FOIYrZhPuuDYmiRyi2MPaKv3QYW7JpRekK1o/VIV864WCfiDohylrB6GlHyYEgSEIDf3IZD/LD+hFgl4k6CeCftPnqy8FfOw9y0zVg9Ezy+O/9k/e8574Ax986dNvv+2X7czOH/7bA/Df+4P7uemqaTXunfrA4y+e+sTWkaP+W26u8/wJRSIuMlbXtHupayKFmwWQDkpZlFQopTK9LXF0qjldRxE4kiA0eGFCEFkqkSGIDGFoacQQRIYghjAW9CNJkHhEic+hYzVeOgSJtaTQTrWxI8FVac1H3YNrNkCjAiM1yVhdMTGqmR6HrbMBG6bWiOwK//n+EY6fGOHGHYodmyU7N6/y9ddi5pdHuGm7ZKxh8N0envSwShAnEmEtcRKy2vGZX3a4cU+FN+xq88R+n5kxQdWvc+Muw49+YJlf/KzhtfN11jqGtbZicVUzOVpjrFFhrDFCoxoxVYvYdmOI58Q4OkapBCnSYMKS3lRRpFhY1ESxIooVYaQIouw5lASRJAgl/VAShCINUENBEFqCMD2vQZgQhpmmj9Kf90PoR4J+BN1I0A4Fa5Gk1Y/Z4TVxlOTh/XUS83L1uqu2fGL/kzvN0Qs33f+VL/1p8rZ3fds3P8B/4j/9Ac8dNWp+5diHNlTnf/uF0xf8ozG8584Frt7eIYh7uK5gRCRIaZDSopTJDgclLY6yOFrhaIsTSlxHpBfBEQSuIoxSoEeRJYyT1BWJS0cCcWJJEkNiSPW2oQB3LoW0BMcBTwt8T1D1JLWqYqQqGRsRTI/HbJvtUq+tcf+TIY++Ms7aUoPrtiq2bXC4akufRKzx4LNVao5makxRr/Z55TgcOKG5doulGyiuvyriup2WuYsJi6suvX6Vd97c5vGXexw9r6hVJJ7b4Nodhn//fcs88lqPzz8yyXLLsm06YbWpGW0oRmoO9apDrWLxPYPnGjydoJXNzmV6DawlTVgZQWwkcSKIY0EUS8JYEEWSIEqdlzAShJElDCGIEsLIEJaII4jKRwruXgbuViRpRtANIhzTZsRd49A5Rdss8/47DKdPLfkvHxn/3btuefbv3voG54/PH/nNZNOuv/fNDXDHl7Iueh85dfrsf79r76v+B+4d5VNf8/h3vyuw1vCmqxNOX+jw4bd0GGsktKVByyTT2akedrTGiTSeVvSdlGkCRxK6gjAS6cWJFFEMYSRTByEe2H5xYkiS1F1IbOaUFAVZIpNCqexxtcBzJb4nqVUEjapltG6YGQ+YGmsT2zU+/bjkt744wbTvc91WwdYNDldsNGzbsMr9T1tWVnz2zCrGGlCvRsyfkiyserjbIYgEUyOS0VE4etKy2jLMLflcdYXPm29q84XHfCbq4LkuSo5y7U7B33/3Ao5c4M+eGOPAeZ+ZVsT0aMxITVGvKKoVScXTeC54DmidOkxSQN5xZm2aRTCG9CZPBHFCBnSIEksYQxQlKSlEhjB/jkxmO+auTGZBxqkk6USCVixpR4awHzLitfjOty7zrXd2uHW3JYoNz7yyiQeecen0X/Kvv2r7rx0+tlkLqf+AlGe+OQF+8cQniaLw+377/vM/t3DxXOMpK9g0u4bVVfpRnU7k87knajzyQou51WX+4Qe7jDViAs+n1fXRysXRDo52cMOE0NG4YSpNwihNpaeMI1ImylgpjiFKIElSJ8EYm1Ub2ryHMwN3CvA0cBU4OgWI70HVN9QrMaP1mKnRHpNjazx5KOR3H6pw+OQoV4w47JyFzbMum2dg99YW3bjFvoMNKsphakwxWofResDYSIzraoRIb65e4LLSiljrWpqdmIVVl62zdW7bs8BDz3Y5fL5B1YtwlIsQI+zcpPiety7xxt0L/O5Ddfa9OspyRzPdiBmtxlR9ScVXeI7AcySOk8YqSpHZhynKLWkPqzEUQI8Tk61umbUYG+IkBXccQRjbwRGlrkw/TkmlGwlasaAdQ78fY+IeE5UWP/LtK/zv39Wh5rt0OlV6tkJCl4nJLm+cEZw4tdA4t6D/84X4Ovc//sqf/da/+qFv/eYD+Pm5NlaoHzh38Pd/eufEmYnuBp+nD0i+uC+hE0gankVoTVfXWAs0P/dHDgePr/Leuzvce0ObmcmQdqtCL/BwnRjPdQhCjeem9l4O8CiShHG67EZx5mknZNYfGXNLjGUA7jRJmTE3aJUmTFzH4ruGih9T92PGGgEbJlvMN7v80uccHnxunJXVGldOCbZOCzZNu2yeFmzf2Ee7a3zqUc2JszV2zUjG6pKRWoKUAecXLZ6WSAHWCsJIs226xbMktLqK1ZZlfqXCrs0+H7y3yR9/zeXUvIejI4RwMLZGFEtu2r7Ktu9q8eD+Lp98cJznT9XYNCaYrCXU/ATfFXiOwHXSWEUr0sBZiqImw5LeZMaSOi1JCvgc5HGSSroU7BAmaa1LmCePYkEvhnYsacfQCw1JN2DzZJt7blzlfXd3edfNBi2qrKz6BJFHFCluuDJm92bF/PIoT77s8+rJ+Ym77+19/J/+4PvUj/9A69eFanzzAPzgqTW6sfp7+/Z98aePHnx6+pZda1y5dZLDpyWtjkRogScMjhS4QtCWPs1Q86mv+zzycpsb97T4rrd2efetTSZGPXp9j17g4jkOYewQRroIlOJYESWSOJZEiSCOJUkishrxTGsbQaFKbJ4RTZNFKksWuY7BcxMqXky9EjA52qEX9fjaK5Y//PoI+14dZcx1uHaTZcO4ZGbCZeOUZPNMyI5Nq7x8qsfnHp9iRGmmRgSNmqBRjWh2E774tE/dtQiRAqsXaN57R8ADz6Q1Mc2OYWFVs3m6zvvv7LDvUJuDR11qXoySIgW5qdIPU63/PW9usmvDAp96pMVTB0Y5s1phtiEY8S1V1+Brg+uAVgIlyRJk6ffOy49MJtWMGaxwcQb0lCAgSgRRkgE7EfRjQTcWdBLSmCcMqVW6vP/tK3zkrS1u2pUwM+bQ69dodVzCyCWM0usVx4og9FhrOxy7ELDQaWO6D08fOaB+etfedxprF35TiOm/2QC3yQr9fh+/yvd+/suP/6cHvvTExIW5mK/vH0mVVmioeilrBjHoOHUuPAlt6dB1FOdaHheeqfLMKx3++Lo2H3pzj3fc0Wd81CUMPILYIYwcolgTZUCPE0WcZAmbZABwYzPmNoOaMiFsFlSmdRxaG1wnwXMjKl5IvdIjocdX90t+/+FRXj05gog8rhizbBi1TI4qpsZdZiclG6cits62OLvY5pc/XyMOKmzeLBitaxo1aFQjhBPS6tUYrVuEEFgLUSwZ9xSxiWlHLu1uwmpLcX6xwt4ddX7oW9f4+B94nF6soVWU3RiaOPbph5LZCY+brmxx3Y4Or50+zx9+vcJDz49yoVmh5inqLtQci6stjgIt03S+EMPVdQawJr3pEiNILMRJ2jwSJYIwSZNEvUTQS6AXW+I4xkQBE36Pd75ljQ+/pc1d10aMVBzCqMZq0yOIXKJYZ+BWRLEmCFNCGm9E/J139DA2wSZ9Xn3hielWp/qfJjfeGx86cu53avURtmz862Pzv1aAJ1Ebv1p93yOPPflf9z/7xcYbrkiY8Ec5fj6mEyapFacA0outpEUnNmVyZagkgq5y6caahcDnz56p8eirXW75Sod/9O1trt7aYnpU0ajqlB1ihzgegDzJAW4kxkqsTSXBoMMnS/UrmwaxOsZzYxwV0upFLLYifuF+n5MLY+w/OIo1LhMVwfSkZXJEMNFQTIw6zExIZidiNk11mRhd5cEXDM8fGOW6zYKxuqRelTSqhlolRDgBnqfRKv371kKSSHqBptePiI2g3TO0O5aVlsPccoPbd3e4be8an/qKT2VFoWWUAtJq4sQljNIez8lRnzfu7PDGKzs8e88FTi9KfvehURbWqpxb9nCVpOYI3FyGyTTwLIg8lyqkTB5bQWwgMoIggX4MobGQxBBHSBWwcazHddvS63Hz1QmNiiaOazTbKbDjDNjpCqsz2agI4zRrbK3AkTVaXcXxsw4nLnS58sLnJ+65R//Xidm7Vtvdzuf+OjH51wbw06dOorwt6qVnfvnKZ5451Hju8AU+fJ/LxMgEUaxYWk2tpSgBFdsM3KATgaMsbmzxE0FVCXpK0NUevcRhOazw0PMjPHmgR80L+LvvarJ5IuaKjT1uv6aNFop6VSNEKlfSrGRaK21tibmxCGlRIvXMLTHImNdOSp47pPnCvjqvnakTxlXqWjFVsYzXLGNVm/rgDc34iGZiVDA7HrNxqseGqVUefTXgV78wzYZRzVQDGjVFoyaoV2MqXsCTRxT9UOPUUlBZKwhjia8VN+zq8cwro2nhUy9hreWwtOYxvzTGD717nnNLyzzz4hSOBESEgQJAQSjp9DRjdZ/RRo3bdnW557ou33XfIofOGh7Y57PvUIUjJ2rEQhMEim6kUEXpQznwzHIC1hAbizUGRySMuCE+Ebfd2GH7hj6bJyM++o6AiiupVRzCsEqz7WYrqc4IRxVee5SBOj9SGSnpB5KFVcmLxyK6psetoys89cxDjcRZuPKf/dBH1eHDR5Pdu6/6mwPwLz1ynFfObHCPn93//RfP1n/u0FHBwsI0f/BQwHg9xkXjOukJlTItP1UxqURIbCZVBI6xeInFV4JqIggM9BOHXuLQTXza7YT/9KkxbBwxM9Vn79Y+EyMxH3pzj63TIVEkMr0tocTcZPpTSoOQgs88UuHl4zWE1py+UOX8fBW/ohjxBKM1S8M3NHyoVwQjVUWjrhirayZGYXI0Zmaiz6bpFold4zOPN+h1aly12dKoKupVSb1iqPsxjhPy4DM+QVfiTIPMwBTFklpF8c5bejz2gqETSDq9hFZXs9bWzC1XuXp7nQ/d1WL/a1VOr9RR0gBRppcdokQRRGliptPXNDsu9UqVWiXg6s19bt3d5+xCk1MX19BOwksnNH/89SpCpYVrCDl8Ea0BDFhLFCZsm4n58Jt7TDYSdm+zzExAEjsEYZ04dlhtOcSRIkp0FgelgM4BnoM5WmcARJnz5buWN78xYHzUMF6f5uDJmM2zyc8dO/RUd9eeq36rv/Jq6I9f+zcD4FX5Gq5zctfC4vFfSrpfkR+4d4LNr1U4fs4h6CYoz6KVSLVvDHGWgo+NQMepTowSi5OkGtDTFj+xxIkgNJYwEQRGEiSS0DhEBhY7Db7+ssGS8Kf70pENWJMdeRYvs8iKikSJVIo40kijcbSk7sH2KUvNMVS9NEaoeoJaRVKvpHJopC4Za8DESMzUWMDGqTYJq/zCn/g88co0OydgrJqxd1VSr8RUKyG1ao9KpYqnJEpmGpxUDkSRQ78n6AUJ7UDR6RvaPZO2zNVczs2P8Ka9AT/6HfP8/B9rzqx5CGGwNsIklih2CCNJP0jLWOs9Tc13qVZ8ql4V34uoV0JuuirEdSJuvirmo2/polWcJYEMQthhUZ5JOmMkQkg8RwEu/UCzvJo1eCd5zJMdsRzEQFnhWg7uHNh5YinOSnkTkwa/FbfKWrPK/gOSpw+E+JWvye9K4l+6sNh9vNfrvfrXgc3/YYD/yZ98jtW1qUqv9eIH2mtPisj0cJw19myXSFlhZU0SxobEWJQRaY2JsqgEVJJqwzgBnaS9j3Ee0SdZVJ9H9kYM3htBaCSxlSRGExmPJLO9yo8iSylAC5FmKhX4FYuvLb5K8BzwNPiupeIJKq6kWpFUfZ0CvCYYrRvGGzETowHT4x02Ti/zq18wfPKhGbaMKibrhkZNUa8qalWoVhLqlYiLy4bjFz18N72hIa/0E/RDzfZZw+xkn1bfpde3GYtL1tqaesWnXh3lo29Z4MTFOX7tc5vQUmMxJCYhNrYI3nphWhTV9SXVvqbiOVS8hGY7jTFcJ0kTZk6ClmmjhJRpOl9kR1q6IgCRgVzQNFmVpUnjmiSRGCOJzSDeiRNRCvDz16XnWGQ/Tx2Z9BqnzystzXIz4dj5Dn69y0g95LFn9osksB+46Zo9xx/64p/23v7u/7F0/v8wwJv9yHXCo//S9hb/5TMvjcojF+r4fo9rrohoeBUqvkaGSZpNNGk0rxJBksmT2IBOUr86yZMPxmbvbfGzwetBpVzq5YoiUCprbiDL5KWBlZYGLclqWsBRAkfb1DfWAt+T+K6k4ikqvqJekdSrlpFawmg9ZrwRMDnWZevMMvuOBHzqkY2M+R4zdUOjKlJwVyQ131DzY+rVgH2H4aVDVa6cspnuHaTNe4Hi5t2Wq7b2ePbVUbqBpddP6PR0BnKHql+h4o/ynXev8NKRBZ45OAtWYUySlsPGljiyRT1JL9BU+5aKr/Bdg+c6eG6Cpw1aJzg6zQ4rZbIitrQ0GGERDPTcIDhPS4hN7kiZ3H4tWbE5sE0K4sF7CmDnRxncUQz9EKw13LSnz94dCb4zwuGTSh46vvB/zm6ouJs2VH8KCL9hALd2TXa6vZ/87d/5rX82XT3g3nvjNBMjLmfmXRaXwJlMs4SuI1EqbW9KlEVlSYVEWbTJXpu0gdYkFK+TPONm88ybxWSZuDxZYa2llHkfWnHzVHWe0FEyy1gqSkVbafbPcxW+p6h4gmpFUK9YGtWEkVrMaD1gYqTHxqlVnjnc4yd/e4Yz50bZMWkYrUKjoqhVFDUfan5CxY9wnT7Nflos5iiLLE1pTUzKcFHs0qhEdGNDN6uz7vYT2l1Js6Kotj18r84VsxH//vub/MQnJE8fnEkneVlDkhjiJCaMDWGk6IeKniepBArflXiuxXMVnjY4Tur3a5XX+qQAV5lMEcION+hmqX2bkYjNalmSDPCJGTynZCSzZzEAePY6yaRnnJNY5rMnBnxPM9kYZWUVzlyUvHoyYTU44u7a6fyLXdd+zDk93/s322Yqf+V0/l8Z4KtrbVbXzE+98Nwj/2Ru/pgfjne55+o5fG+ayVGfTi89MSnQJIlJT2hiLEam4E4ycJv8tREYY4s0sik8WrDGpl3kWQlo+WAdwDPZnQWWqURJa8pTSaSzVjRHSzxX4joK30tHMlQ8S8031KsJjWrESD1kvNFj49Qazxzq8hO/NcnhM+NsG08dlnpFUqvKlL0rlqqfUPUjoiTk975SR6q0S0mJgU1obL6EO3zP21f58vMh7dCjmwG801O0O4qmp/FdD89psHtLzH/42DL/9rcET706g7GSxKRp9ShOC82C0BD4abmr5wl8R+C5KcG42hYZW61MKhMlRVlyAfBByhPISIQ0l5C6LVkgnwM4mzpgiuQaGbtTrLj56jwA+KB0Io7h+Lm0T/bUxYiTy31uv77FqTOH/f3PP/pP3/PWt4h+t/3jfvWvNj3rrwzwXvMIxpjbjh95qXLomMf51WnWmk3effMynf4si2uaKBrcsWlgIUiK9HAO7lx+pD8zRa3EoP0qBbpI6yhyUOcnft3nGvRuZnUmkkExVVZHngJc4jgyrd9wBb6Xzjypegm1SgruRi1ktNFjarTJvkNdfvI3x3nt9CSbxwQTtZI08TU1P61fqfgxFS/EcQLOL4/hKIGSJrPlBkFmkkjiWLFhzBLHEa3IzzplDL1+QrsvqXQVvuvgOj6OHmHP5pj/8PcW+Ve/Ac8cmCYxMgV4YoniJGNyQ+AZ/FDSd1UhwRwHHJ05V0qmuQBJJlNAZM+XwXgqV8iSQogiOWSy5FCeLU6S0s/NQHImJWAbU7reic3GXhiWmwkXVgPec0ebt7+xypmLDvv2vVCZmbriNvk/MKP8rwTw55/5Eufmnaru/IY7UY+44coKtbMuh4+5jLkwOQKeTk9YnAgSmV1Uld3dMmXqRFOAfRjYuQyxBdBtLkfy16/z2aQYFFFJCVKKAtxKyqxRIpcn4DvguYaKb6l4qX6uViIa1ZDRWo/JsSbPH+3zb399jFdOT7FxVDFVM4xUBHVfUvUV1Yqg4qc3R5rqD3nmoKDTd/EV2U2WavC8CSExgijW1HzF7de02fdag26UypRekNDtKdqewnMVruNm+nmUq7cYfuYHF/ixX4GnDk4TGUlkTNYsPejBDFyJ55qUvZ1BHb1W+UEmUwYyTmZZ3suBPE8K2RzgGeCTwnnhsiuvyWIpUyKxJLHZ7/Oqz1SB3L7XY+8Wj2NnXI6csRw5u8SRc592f+KffFf1M597qPvt73v7/3yAm95hhL9x9KlHv/DLx08Fd+/dehFXb2KkXmGt7RAnaUOqVmnRh5J2AGxDxtiDu9wocXnWLgHaFMAeNAWTae/iYoi0oEjIDNxZkZEqAA4qqxh0NLgOaSeQmxVYeQmVTF7UKwEj9R5j9RYvHgv4t78+xkunppkd1UxVDSMVqPmCWkVRrSiqBXsn+F5Mvdrn0Zdc1po+Y2ODNHkOGJNp0yhRTE8o3vKGDo8+Z9IumtCUQC7xHYnvaBztonUFKQ1Xb7H89A8u8GO/Ynnq8DSR0URZBWBa9poyuRfJorrQ1RKtsyIsKVA6PzcUny+/CXOpIvKqNAYJofWHKT0bU3ouVt5hcJcrO5NcjiapgyVRvHJU0uwknLwYc3yxzztu8+9+/pXDv3Hf2z74w0+/dHbt9jds+Z8L8JcOX0CrxR87dfrQRx56ps38quXua5dRapylVY8wzqvsQdmBDkt1dn6XD+74XH4khQyhYO+hQHI9c2dIzzNyhfaWeQXdQHfnFYNakdZnaIvjpI3Fvmvw3YSKH1P1I2p+QL3aZ3ykyf4jAf/yVyZ58cQM06MO09WEkarNwJ2xty+peCn7+15M1QuJTUA79BBK4uQMXmhwkbFX5hdHDjW3n5YLhD5jOcj7CV03ZXDPlWlNvM43oLVce4Xl4z88zz//74anDs0QGU2QCMLEZCwu8COD51hcJ+1d1VncoVUa/Csps/OTdeXnz6XCrOLGLMc668BdkFCJmMrgLuIqO3g9/LP0D6ysxYSJZbkJ55ox99zSYedMmwsXJz/SWnjmuIyjf/U/lcGtPQZs2vYLv/wb1736yhovHqnz8EuaxKzx5utbWCPp9FPT3yRpQDIIHEUB7sTaEsBFcaISUz5hosQUg6ykLa+ZOWuXg8p8uc06dFQWTGmddQZlRUh59aDvJJlujqj4AWONLiO1Ns8cjPnxX53khRMzTI1opioJI76lnoG74qd2Yg7uipfguzGNWsjBU5ZH9tdwpcRRJgviBjoyX76jRBEbzb03RVy5o8PxMxWmqgz6HIOEbj9jYa3Q2sna+VLv+ppt8DN/f4l/9SuGx1+boh9V0mRYbKlmNdyeQwpyna9epuhtlSopVjglRQngogRyLtErA5DbYYAXFYqDlfdyK/OA3cu1+mm+oxtYzq5K7r5ljX/6gYCV1TGOnT/HhVNPXzd+1T/a9tjz50/f/cZNf/0An5+bp9Meu+LkiX3/N9Ha+3q9gB0zDiNNxRMvSe6+NsR1kswCS7OQQ3aStZgklyPikiUt94dt4Wmvc0kucUsy5l4PbmGRKrcFs5oXlbG2trja4DgGzzF4bozvxvheSNUPGB/pstru8tir8DO/P8vLxyaZzMA9WrHUK4KaLwqvPHVeTMrebgrwihcQJgn9no+v0ptMCjFUyZcnUtJAU6daXgcEoU2bdguAG1w3wXU0jiPTqQLSKQCOgOu3C37mh1f5T38Q89ShCS40G/RrktHEUo8tfjZxwHNs5v3nToot2DuXKjnAi8+bfegyzguFmF2UfFUdgHtYUqbVnCWwDwGdgUzJAB7FIJTl7r0eZy9MsLjq0u93OT/Xft/I9L7klutu+qdzFxdPzW6Y+usF+OlzJ/C8yq0HDh39wNGjp7hycx1HKXqBYazhsLAcZDaUyQI8UfQBFlaSEoUkSUEtsqUtT9gMS5EywPNTXFaF+UVIxz3k7D3oxh8MB0rLYh1tsjETSQFuz83APd5hcbXHT/9elc89PcVSZ4ypEcmUn4HbT3V3NQssK56k6tmMwVPt7XshEPLwiy6rkcuEx1A9NmJ4hUqStPmh4WnefGOXZw6HtCOPkaJj3eAGaa26q1OAa5U2ZAuZJmiwsGeL5Of/UYsHnunxU785w7mlMXqjmlFXUI8N1Ri8KB297Kp0oJGTB5pSFEFw/lwO1Ms3phBFr0hxfWCdhCwDuxQ/mRL4y3mMMshjk/6NLSOw/9UxRuuKXl/gaIeKd5TayOYPTI75v9fv9079tTL46lqX0ZHKVU8+/cQ/Dlsv8q1vEvSjtCovSQSutmn9gk7Q2mbgzm0kWcgTW9baBahzCWIHNtR61i7LkuxE58ySp5tzF0DlAFcWLVNgp72daX+n6yS4TozvRnhuRL3SQ+suj76U8BtfbPCFJ6YJTYPphmDST2VJagHmPrnKDpExd5m9I7QOePLAKN1Qs6Gaf571DJ4H2Wkpqe8obru6R2xSgPcikXat553rgUmDQ53NhsnsPZEl1y2CyVHBR+7rUPcu8Jtf7PHYgQnmogpdX9KILTVtU5DrLA5RNotLbAby/ByKQe24BMmAxUsqq8TiaZcQJVJa73qZ/GeGIUZPLhOcIsARllMXYlydpCOiY0mzV+PM6ivMzx+jH7yeh/ZXALiNDvNff/trTE2MbDx28sA9on+GmWtgvCaYGXVodSsEoS4xa87QeYo3lyQD9h6SI7nWJksmDAG7ZD2U7Sth10mTPCuXVgymo91MVvOdgVultRieE+G6Eb4TUq32cd0uv/+Q5md/Z5rji+M4ns9sXTDuJTQ8S82DWtZhX/HSbKefJYTS+pUkWwlSebLUSuiELq5SuNIWASalr5Lf2HntRhg7VJw+s6M91rp1epHIxq2lsYLjJJnNpzK7U6UAHwpc08rH993V4ea9i/zM7/b55INTrMQ1up5DzZE0dFqD42lwFUUzhM6TPsUcGlFkgfMEUJlUhsVKGegMrcDGDkvNgTZfd5iBTLWkHUTNnqUfwVpgGB8L0s1x5QLX77z6J67Yet3Bb9v3X15Z9t/Pnddv/R8DeBQb/uEP3HDF2ZOHf/X0kSM8c2Ca+x9PGBnt8ZYb23zwTV1GajW6gZsV4wzqF6wdlijWDOob8uCxOAmIkiQR66RJDm47YJMs+ybLAJcWlY2eGDB3koE8xtWpJPHcAM/pcWo+5tceqPHZxyc4MT9Go+ow7sOYl1D3bJZ6z8EtM3DLIinkZ9rbc9Mbp1ELuP9JzdHTFfxsAlfRLsYA5cUYB5vq8CjW7NkG77m5zW98aYJOVdPIZo94YRY3KIPWMhtbRwnkTomN0lVh66Tkx7+7y3Xbz/ErXxjnxNwIK3GFrqOpKUE1A7orbXrjZC5Tsfrl5zW3D0n1+SDTaS/1yXNiyksnCt/8Ukux6CKy5VV8UJIRG0ErFCQq5NvvXeItNySM1+qcPj/G158NrrtBb/70zivf8i7Raf+FUuXPBXg/iHBczb5nn9/8xL6jO/cfXGHHhjG0iJlb8/j1P/XBzvG9b+sBEMYqY26ZNfqKkksiCkDn4Ldl9raiYIEBK+S0bYd0YA7s9DkfpZyCO3VNcvZOcHScdu7oGM8LcHVAOwn5pU+7/OYDs5xfHsWoCuMjinHXMuIaqhlzV4v0vczqVDJpknnnBbjdNHsZRCFHz3l0Qo8xL3Nx8qRT7krkWVhbqkmJNI2aZvvmEOX1aYd1eq6gElmCHOA6yRI1KvWxZV4CfLngVTE10uWH3tflA/fO8ZsPtPi1z0yw1KvR0z6+VlS1oKIsXmxTNpepVNFyUN6QZzkvYXIuI1fWOywwHEvlMqREZGUWz0kwNmn/51oI3/uuJX743XDmwkZOnfM5MyfZOH6OcfnKzkpc2Xz9dTecskmIUO5fDeCd1jyJX5uaHlefVr0DzvU7xnAdxVhDsr1reUMo2LO5irURWqUbPiVGYowZZvG8WMeuA3YG+AFjC+xlP4kt2YG2APaQPJH5sKAkBbhO0CrBdSJ8N8R1Qpr9kCdflvz+Qw0+8/gE/aSO67pMuIJR11BzLVXPUnUH4PY9iedJvEyapImhzJnIAO46aebz5EXLY89XCSMHr2YvCTDzxyCdnZJBGCkcR/OWm9t86qsdDp+r0fPT0QyBY3FjcCKDExqUkqlvLQVSyMFwHwbnMzGS2EiqnmZmtMc//84uV28N+ORDdZ47OMJir0ZfuTiOxteCigQvH7CU26vSpvkEQQnkwzUr64uzyoyeE9R6Ryx/P9DeYojN85Y5geXYqVG+8KhPp1el1TOEoWFlbYqXjh1yPvb9d3x6da31hna7s/hXZvC17rg8febgrcsXHhy56eo5+kEVz1F0ei7dvqJaSdgy45KYFFhSGpTNGbwsR4ZlSXHkwM4kSpnBhwp/0h6dlMmLlLIpyj1T3W3RKkkBrpJCjmgd0exEPPGq4Le/1OCh/SOsNOvIik+9ohh1LA3XUHUsVddScclYO2XuiifxXYXvCnyXrELPZOA2eE6qv5UOOHIOzjf9NLGS6dvhxMmgfibtg0xBHhtJGGpmGoKrtvR45UxMN3IIshnfbkgKPpVP1s0TNWkhW/mR3zy5DRklaX34h9/S4x23rPK1F9p84sEGzx1ssNyu0pQuHVfjKoErBZ4k7eGUFi3yuCabQiCyst/LMPgl9SvrmbxEaIYye6c3QWIGIE8suFJw5GSVfhOqXp9uCO1+et4X+zDypUdGPvbt99x65VVXfok/Z3jQnwvwXvuiF0biv3/lyYu10wsuM5Nt7rgmYmZUsmubREqJtWnzrhS29CXkUD1x+TnvcB8CeOmEDPHCkDSxQwX6qSwxmeY2KJmkA/FzN0NGLLZjHn1e88Un6nzusREWWjWE7+PUHRoaRpy0k6fikMkOqLgiO2RWcprpblfg5eydA1zHuG6M74ZYG/Hwfo/TFytMjgscaTIdKwaNviW2syULNUkUvcBh24zgLTd2+ezTIZ3IoRcJfCftV3WzyVKDVUoVfjVCDsmU9JCDRgWT+u0VL+DD9/V4283L/OnjbR54osqjL9dZaFbpCZeeq9GOQguRthBKiSNsJrUsClGShsP24WXIfMgFGzC3KALQMqDj7EgyWaqkJQkFrfMWqWI2zQRMz4TceU3IxIhHPzxVk+Ku/740N3c10PsrAXxEP4dyuoz4EUuLY7x2POSLT0Vs29jlPXc2uWtvwPZZgUUNgL2Oue06sA9dBEh7Jy9TEzgUUJaALYTJ7ECDyACudYKrI3w/oh8kHD4Ppy4o/vArI3zpuQYLqzVwfHTDoaokdcdS14aKY6k44DspuH0nnUmYlpnK0iGy39sM5KYAueuk7WnHLxheOemB42TLvC2l6MUQCspBWFovLYiTdJzztdsD9m7ucOh8lZ4vqMYCL7IEiszaMxl7525KbkEOtErhs2dWpDEqmz7g0A8dKpWA73tnwHtvX+PLz3f4o69WOXXB59D5KuGaR+xp+lojVTrVVwE6e86ZvJAuDIL/Sx6FmzIAtWEAakMK8sIuJC20y1sP+yLhyg097tzb4Vtvj9k+6xIFdeaXanzluR5/8uABvMqfv3vE6wL8zNnzIgp7//jFV//75Gg95vodVWaWYX5Vc/x0hf94pMGd113kF//RIlMj6eyLPLgsg9pSZvRcipTBXbrlhxjBljRfmtRIJYnJdnlI8Lx0kmqcJMwtw1e+rjl+rsIj+yqcX61w/EINPA9V1fhaUdOWmjapi+Ckg/N9Jx3XloI4P2R2qAzgZJo7A7eT4Dkpe6c3VsjJRTh4qoojh+3BQqIwqAcvHIXcSTFZX2PssHdbj6umu7x6IqYbO9QjQaDBjdOZgKoEcCkFQsohJof19psogtm8jzJKHALHpVEJ+Z63B9x1XYvzqy0eftblxFmPL++vcmHZJ+k5GKmJXIWQMl0psq58SZbxhEK2XA7kQ4Em5Sx17rbkGtWUjgSSmKnRDj/5vavcvrtGqzPJqQt1Li57XFiUtPsdFudfm/yRj33/P/47C+c/Pjm96bLh2+sCfPnco8RJ8pGTp5NaFNWYmZCMNlw2Tlmu2hzy9HHLQ4/U+NyNq/y9D3apKEWS6NLYBrlOa2fALrF4ztbDn8yWIvYBaxdSRCU4XkKUWE6cFbxyQvGVfVVePely4GSFVuARhB44Lqrh4ClBVUFVGyolH9jTeZ1GXjab1oV7mSxxXYXryuwGsAPt7SRpZtFJdb7vRlgTMr8iCayH1hJXWnTJZltH4AXIEzvc7xjGDgLN1HiIVH06kUNXi9TpiAYFY1qZoQykFKUoNh92hMAaOWDy0mAkJ1HF+Ilu4DI7FrJ1JuKmHQG9sMffPdnk1VMuX3nG55WTPifO+ESxAk9hpQIhSWQpG1QkKS6jVYbEee4D58+m9JwdJgGT4NqE99+3yjvv6fHKS1M8e2CUVlvT7BrCMGGyrkl63dr9X9z3ESnVx/8fMfjz+77IarulDhx+Wdy4ZwFf+yQm3U2301NUvIS3vWmRE+eabJo1tLsCZdOev0rNZjpbghHEUQr4PJAcYvDyLW9TQJPNL3G0BWEQ0hKFlm4/ZfRT5yR/8JBHN1K8eMDn2FmPpY5LkLigXVAOqqFwpaCioKosviIdZ6aywiOVsrbriDTpUQa3I3EzWeK54LlkrkmaMne0wXXiLCMaUfFDFlYTvvJUnWbbY2xEoDMvPi/6Eq/HbKYUEBpJECgmJxTvuL3Pl5/rcaZZo+fIVKZocGKLE+WedeaxyyS1CynPOpHF3zBWD5VMJInETRSJVsROOvYhipzUSnUiam7EXdfG3HZ1wPvv6XPkrOSlgw69UPHJr1Q5OeeAkHR7miRUefkmVucAX2cZldO3QwAHrEEkFmEsNgN4pRrj+AaN4fyc4Cd+pcaREw46Tqi4MZ0+tHoQW4Prh0zPviKu3HmjeuBLD8bf8q53/uUAbgxUq41fevLF6PrfPq95z52r7Jg1vGE7VLx094WxiSYxAf/xE3Wa/30UIQw37or48Fv7aUtSAlMjhhuuDan56cXEiiIHduk1F8VwnmZX8NLLmuWWpOJL9h10+PzjPv1I0Y8UF+dcjNBE1sEIB7RGeBotJa4S+NLiZ8D2lMVTNq0B15nnqwfM7eZ9mQW4VdajKQr2dh2D6+YFWknB3q4boVTI119QfPbpOsrVqd02pL9fn8FzLzxJcsdD0e87vPeOHp97ssUnHx6hE/vUMh3u5Do8ypMytugWEkIWAMsaBUtavwRwk4120CmTO1oRa42OkxToKkGpdJD+mB9zx+6Y23dHWBHwofu69KN0nNufPe7x7EGXiidYaileetWl1ZWZShK8rigvdp5IWwNvuCFicjRJmyASy4ff2uOGXRECaHYF/9fvTvD4fpfaaIIWlqofcs3OgB0b+nzLLQn9sHG9Vx35JeCH/lIM3uk0qVYbjT/7/J/trjlCVWyNT36xSpAEXHdVl5oXEscxjnJ58rUaJ8972ExcHjlj+fzX0zvRJpaRMcOt14fUK2kd8GXTk+VbPXMd1jqK515xaTUVUst0JorVKTMJTToXWIPUSClxpEjBLC2eNLgyBYKrwFWDGX0pyMWg4UGnjQB543EZ3CnDZ2W1Ts7gSemI8XSEtSHnl1zCwMcbkbhZ2ltlVXlDWUzBgLxK1mnRnW4UYeQwVldsmQxxRZ9e7NGLBRWdprDzGpI8oaVkubxVFn8r/RsyS/6YQfbUmKz5ZCCN4jjJ8gYqm8seE8UJKkpzCVolSBmzedJkK4bh6q19QttDakOzKXjuFc1aV6Z7LK0T5JdYCFkxVs033HZ9xMiYwcbpyl5RoEWe+bD87I+s8P77AlCaKFRUHcUNV0rCoMGFxRpLK47aPtXf/ea3vq/Rbrdb9fpw7+YlAJ+bX0LK1Y9H3YP3vWFnG195TM5HLKz5HDlWYaFjaQeGJE6IRYJ1TXFnxtbSzJcgZWitWS5+vVb6ipcDeFm/ZRdHCEy+5QJZzalQgyBHyszKykGdpZ0l2catuW9cetZZJ70i23qPAtxpW5fCzcDtaooS05TBMxbXBjfLjjpOhOdFnF0y/O6Xa6DddMaiLCV4hsA3TGQ5u+ZDQlOwpYN1wsjho+/o8aeP9jgwX6eTOFTjdFPatArQDjpxVJ4TKAd7eeliLoVkqcArP0xRC6O1wknSeSlOBnQlB0mztG48ey1MNjgoZVRhEyarhm95kwGRZDITEPn+GZe55kWNkQCjSCJNPo8ljiSRHUjZjePwoXtIR9V1Kyw365yfq7Kw4nPqouLAqQ7X90/c94Ybzn08jpN/8Bcy+ENf+RpCSPfY8QU6HctIVbFtVjBWT5gaiZlfgwtNzVzPpRNbEmNy/TEQlvlrZUmcErgvi++c3XKADwcvQsqiBU0JcESaVvZEWi3oyPS9lmQ1FVn3eF5IpCnNQSHbmW3QVT8AuCxki+faoqXNdU1pcE6Mk7G3qyOkDDk9J1hs+Qit8SRD8kSWv1bpcpelwxDwMqcjjB0mGgHbZnscmgvoJZp+Al4icBKLE2c6PKZwlgYpdDXUqZDHdumkXVtqF8ylkUEnhkRJlM63L1dZsVqCVCZbKczAms1ALvK/TTolS0hbuF450HMH7HIAHyT3BnHZwJjI57BowtBlrV1lYaXO3LLPclOz1k43or3+yoS6c4F9T3/NNeZSgF0C8KWltH5lZjREjTl4riWKFd1AsdrUSBnS7iV0Q8BK+kIRWzUogB8C8l8kS8i6ckqF9UIgGaSI06lUaQmlIzLQZhIgf138LCP7QSkoRYOtq0QK9iFwy/TZzYGeB58ZuPPuH20KieLoVJ+6bkRMxANPVphfrOCMKNxyDUfZQWGdIi2nrq1YFwQq+kE6wfbdd3Z48uU+rdinqzWV2BBm6XQlBwVRecGZEIZB51AeaAqG6j5MNlPFQqLSv6mNIFYCnchsF7u0lifOgD5IppkiwSalKSXesteyDO7M5i32inmd618qtMtGpA7yJpmECiKHXuByYdHn6BnFSjPduTlKYGHFo1oNgcOXTDa7BOAvPf8V6rXqm/7oc1++ud1b49qdMZsmNEq4rHZc4tgyORHy2kWHMBF4WYlqXKRgBwmcv2hSSyFI8mSBSDftFlkiQUNhtaksZZzONxloXJUDOx/omcmTMrCLOSiKtB/xcgDPA85cd+tclthMbw/XkrtOhOuEzDUN+49VQLvoTJ7oUoFSnu0T6xCeXsRS1V3RlyoLTzyKHG68MmBitEdztUo3VlQVOHH6XVSSDlBSURngpCAv/pBcV6kpsr7JrOpTGRIjcIwgUZJEGRIliDOQl4vX8nKIfKMwWQJ1XjIhMBnIyUqa80z0IGk3VIwxVL8iSmDPx1Sk8s3VBmSPxw94HDrhEsfpxgFSx8xOBrxh0lKrjdw8tflb3/S5B97xxPu+5b7LA7zX75GY6Fss6oY/e8LhwRcst+1tc9uehJ0bDFOjMc+e8liJZggTQc216Exzp19vQNiGywUXDLKTJYCnuwuTJQ+GR66pEshzxtJ5bUR2g+Wlnmlzcd6pksoSVXSvDICdN9+m7J1pbk2ht3NLMGXsAbidojoxQhDxhcc9nny1jvQ0rhTp/O2igrA8n6VcRz24qMVotILF00AzMYpe3+H2a3q85642v/aFOmHi0UkkfmLTzQPkoFqxkClSZixe/lOvx+RgtMy6aUQB7kRJlDIpo0uZjZYwpVLkcg2QHYB8KNucM3m+SJdkqriUzMsj94YTgOmz4yZUvRZepcfBC6OMjQp2bI24bW+P2/dYZOJxekXegF37FiGiJy7L4P3OGbxq7R1PPvrV7z5+egVXeSwtunzm6z6ffyriym0Bo1XD11+s0Q0cam5qh5U/2vqspGXofs2+bInBM3DnAJAlUEgGNQ/l0QY5c6dbkOTvyRicog1riMWzbhhHDYM7Haewjrmznk03a29zdN5wEJeOiJCIP3q4QWI9VJG9LAeYg77G3NkY0uCsa9czMp0OleTBpkbg8OE3d/m9BwLWTEQv8eklAiemYHEpLTIWRdFZaheuXz8llxQ85dpfZ6McVAZynQ5J1YnMxuylFYxp9lgWpckDi7Jc3TkoYy6aUgqgD6TKpQBf/wMxqJQm3WS2XtH8b9/a59ptEbWqYPcWQdXxCMM6c8sONlyh3W5/9x13vvmRQ8fOf3nPlZuGAd7rxyQ2ulLQ23nN1i7jFZ/TF2MuLDksth0OHq4SJYCRjDk2LSYqAbcM5j/vIUSJyUvypAD6uvLMQouv05w56MuzPZQSAy2eVdwNDbvJgK2VGDgphR2Ydtynjck2Y+5BgKlL7O05IfuPSY5e8LHKQUmJKw16fZ1GSYCvd1Hyo+h0KjWK5I5KFDvs3Bixd0eHp49UiJRLLxb4EpzEomORybesCyfOdDgylQtDf1KUWFyUpNFglEc+E1IrU8yQVJn0G4A7rwWyWZlAzuQUq4cogRuRT8y6PHtf7lHGkSCbLqwUrva473qyqbou55Z9zi/6nLoAR8/0ue2O3k5JdCUkX76EwV87ukq1EvC1/T32vdrknmu7hOEoUgjGagntHnRCiJKEOBk4AcMfSvyFH7ssTQrAl4FeArcqar4HtttAsoi0e14MwJ0GmaLoFtcFuOUQwMvDf9JuewpgF9nKgrkTXJ0mdtKuoAhLxB8/XGV5uYLwdOq7l2/C9TUo5atVsgiLNq1SHXfhTRtFFGkmxyXf8ZY2+481CBKfrnKpJKkWz8tZlSQDd75WmMwTL0dDciigS4M4W7rBSqPWjESZfEWyxWtZbKueaXCZ73eUSxM5aI5Yz+DrmlYG6b7LW8fDVabpN0m7n1Q2gdeh3dXMLUvmmsvcd+sCe3Yt4IoFhDsoLiwA/tnPPYAQkm6nyVRlnPPzCs9zmJ2wdPqCSifB71o6/XTD0Dgpt5td7t673MdmqIH1kucyoMssPjRebMDYsszgSpRYPJcrEqWHAe7qbACQk28dmGU4tcUpUvEme50MHVqlnTsHTsOnH6oTSBclVZa9HL4R12cwL1mW8+ecxct9rBmDx4nGSzTf8fY+v/2lLi+fqBAph66UuInJ3COBTGzpPNm0vUyU11ST/a3hfYvKTJ4Y0IWFmI62VllJgErsYFhnMZdFFDd0vE6PD+qIyg0Sg9mHUNblr0OHRc1S+pniRBJGmnZP02xr1jqKdjfdzGzTeIN22+fwoXPMX/wTjBlINA0wP7/A9PRU9fOf/aXtJ05dpFEJqDg+y01odxWtrkSrGGtjEpMUH7DcJHxpweu692L960u19+tLFFEAZ/04ZFli7DzIzKc2aZ1v8pppb7UO3Hn63skbk006M6RoEct7OuPsiFBOyNHzmnbogtKZPLHrymPX37jDJ2R4oNE6LzzrxhkkfjQ1R7B7U5+Xj4YkxqNnXPwkrdnWmQZXIt3INU0s5WxpyIPMAZMPSpjzDnddDDZNf6YMJDIFvMp2p5BmMCEgn66V5N39hQEwCC6LwHPd9c5v70saJvLcT4kBCl/cCKJE0gsUra5mcU2xuGppdxM6vYSVdoLjBGyc1uzYMbH9H//ID1cvvvUHuxs2bEgBbqOTdFbn3l6pTfzYUy8n7NpmuPOagHpF0O2n/+HRmqDVTS9MOlAeTL4zQGmlKdeZDIG6xN757wRpPqcMhAGwB32MqsSKamioZg5yBjXSqgTq4nWW5FFkXngK7hTAg6FATlmelNlbZX2dbshK2/Bf/qTOcs9HeE4qT6QdWlUGg3P+AtFW1ByJbOeVMoOnjkocaxpVzY98sM3X9jdYDlxCqelJiZv1UA5GPmQMXq6nF6Yoo7WYDNwGi1znrIiMwW0RpOdgV1JkDJ5KoqRwUShkykCHD9oJBzIlDzwHVuHQuVmXCCufHxgUpEkJYWQ5fj5haTXKRtxZYmu45RrDzg0dRmbGfuyxfQeeiMLenxYMfuDg87iOy9zcKe68bo3RapWqFzO7cQ2BIYgMDz7ncG65ShKJQaXcXxRVrrvAw4Md17E2g7R2OidvvUQZHkxTAFsKpBqMH1MlUGsp0Zkk0QXAc81tiqDS0aYAt6Pz+oth9nZUhOuG/OHDDq8dr4B0kFLi5aWxJWuz2CM++5KvW01YYvNip4qSTImNzDZ5crh2Z5f33dXit7/kY7RHT7p4UhRJHyUFUSmgW8/koszk67KGhVRRoGy6KhgrUnDnU8IMJMX8FDEAeOk5BbfIMpoDeVI4K0MYGLz/yzyEgIoXs3mmx7NHY5497hNG6b5LG0bhxAWfU3Md3miPkmAJo3RjiBTgJyfxPY9XD61w4rRidLTPTUGLmdUIKS0LLcFvfmWSXlOwcWQgE3L2fV1gl9yS9Md5Yb69ZKDMkGdcBJZiwOYFQ/5FAJcDgKtSDbXO6lIcCiniqIFb4pSGAw00d8rejk6nVq02DX/29TpLTQ/8zD0RpWDsdSQKQgyfp1Ir1yW2XdHTKjFJ7qZoxhqKb72vy+ee7LPc8QiVppfIzJ4UmXsjBs3YcsCWObCtHXT9mILN83EOAp07Kyp7nY29NjIdfZ2f9zLIhRSl7vt8iGcmTYb0uFgnV8QwwIVFlLegKdmE+QqhlGHbZI/vefcandhlqekgJcyOGm66UqOF5trdFcanGiRxkAL84vlDVKrjV5w79fSPjtpzbBup8ZmnYx7YJ9AOSCURVhP2XDY2bGYRpXf2UIq99LlsyT2wrLvYJaAPH+LyEiVPnAwBe3j2d7nDJR3uzjC4850NcuZWJea+hMHzcRODkRNapZnLk6cER077GDyE1EVz7qB6sBw/iJKrMfjy5VqUAZOLkjwRhZNRtJslGqxmz7aQnRv6LB+qYBM3ZfEklSm65OIM2LNc6JXXCcmBpWszNrcDn9zIwdzIcmyjTHrTGEmmvfPrMiCjAtxGZLNUck0u1kkVsQ4PtngzRAQix4pNJxVLQavrMTta4198uIcVvdTZciwHT0zyx18d56nXlvmWd+offcs9d7x44PDRU9okBhNHs91++I5D508SMYrQkl5Qo5ootGOpOTAybopmAaVKcz4us8xcTm+vfy5mhTAM8mF5IkrOhCgFmwNApwxONgq47IOXj2xLa1UGdwnk2X71TlYamrO3yt5rHaFUxANP1zm6VAF3IE+cknU5dMNy6biI9Y/hMWfrajDWafEw1OyYDHn37V2ePVAF4xAnqRZ3kiy7mwxLpQFzli25DOTWDs2qKV7L7LXMVhWZH+m5T7IVQ4qM1U2+wtqCmAYJn/LrjKVL7W1F28t6Ni+ftuxGTaQtnKYw0tSrVXw3wpUxvu4T2ZDayCrd7jlc5/Z3dLvJrEnsKd3uCaS2nFvw+PqzE7QCj35g2TsLVTcp5lsXdcfrAS0uvevyp5y5XtceFMP/zfUBWg5ocRlgF2yuRKkJtwTubD7hYNsOLgW2HgwIKka8aZOBPE7liYqoVEOePqz406/X6PVdqGq0FDhiWJqs//zl73xZgLNOf6+zDMu+eBRrRuqa99/b50tPdtl32MXWHHqJhysobjRV/P2BDi6tpQXIh3PQZnCDqZTNE5nqcVNi7TyoN1lwKbPAT2bAHQS6wzHUQHcP4gIhygrAXp4k16E+FJaeUMiuZbnpZVODDb4XMd2IeP8dkouLVTZNSBwVU/UM2nNCrA25YkPIR9/eZf9hwclzPhWfYvPWlG0G+6sM5shd/rHeErwU4OslyvBE00FwKQrQFPPyVGn3BiWy2pQBuAcgz8tmLVoPRijrbBMmrYaB7hRsnR5KpQGm64ZEYcKXnqpy4EwVHAchVQaqbG5IKbgUcviirneNcmQXrE02bqOUyTQ237ZPFp54kmjCUHP11ph33tnhpVMVgtglkQ49o3AT1n2W3AtnHYOnz5cUfKr8ZjMYJVB5k7gUWJUaCrkeL1ZUCdKUZhmawaoh1wN8fVzCOuC/Xp1K8RlFMdYtL06D9Ptq7VP1LMcvxnz1xYDvGYOpjSFr7Qj9B59+AKkU3U6TtdUa1nrs2OziuZKsUYfEWMLQ0g8TgsgQx+n2E+tBvt4xATF0YS/R3FwO1DljlwPMwQ4EA2lSsgoLxs4BPpicWkiUjLlTxrYFU+viefDayYJLrSI8N+TV04IvP1ml23Oh5iBFXjlIyR68TBaz9D3LZyivRck91uFB8usSPqUCrDByqNdD3nlHwOce7fPSCQ+0S99I3EyLK5NusFuWBiIZyAOSdRlENXBytGIgXWTK5vmqkgf5xqZgl2aQaBOm7KZk19wMmH19juMSgK8D/SWrXBaXRLGkHwr6IQRhutePJSU8z02v/z3XJfSXn+OZxw8TJwn6qk1nECLdJ6Xf84gTh/Jc53SGtaTTE6y0BLYdpXe8GPSPXpa5c9YuPrgYuoMvy+KyBPay5i5AnurtcjZTqazCMKsoTNu5ste6PB98Hbizw8mn0GYF/lrF6aEjHCcitglfeKLCY69WwNcg04Zmp1TCO1QaWz7Kby4nUUp14YOkxqAZObH5XJMB0IO+wz3Xdnn3m7q8dtonjh2sUPSExkkoPpNIBiw++AiXZ/LyEHulcuZO2Tx9L5BGFDq88PtzRs9X24zBi6Gd68A9FHAOgXzgqqzHUbl3NYwFzQ5pPXg/JowM2f5VhbQLYok8uYLjNjHGoj//TEQUS6ZGQ7ZO99ixQbJzg6bT9YgSiTEpGE9ddFhqOtn79AutLwMrWHsdYw9e58tKCeCltq7yzgJDwB6SKuU0felQ68CtSocebIKaA9opgTp3TlLHJH1WKsJ1Il48Jfn0w3XABekghCq6iFS2kapcx07598lhJYpzUkqD5aCizNwlDW5FuiOGykY/FPvEa6zVfPjNPb7yVJ/njqeTBCKj6CYiK/jKQJfkwCnVgQxxY7p6oBgCev5blYHeyGw/nzwozrV3lguRIn0urqEpDeyUpZt/KAE2kCSD8zUgxvU0niYYLVIkXFwOODWfnlNDuitEJ7Bs39Rj00zEG3Y5bN8g6YcWrZNJPC2YX4h54sUuV2xe4Uc/OMfebYIwTidWPXPIZd/ROqfP1hmrykIyIIcHvojSByxHxgMNXnJf1unugVQRWbJgYD3lAC/m5JVBnrWmDTabSnd2GAzAH4B7iLVLz3ljbS5VlIpxnJgoiXlkX4VXjlXAcUCmwaUrbGlybDmwEpcEVuvlyUCiDF4UDRClGpGh6sJEYlTmqCSaIHS4Zmefe25NWbyXpCweCJe+AZ2IQeCX5HZhCqiBREk/QLmoqWxdKglWWaQVKEua/bQCkZWySisGUqUUVA7YO7uupnzjl+a6XyYPkp6lYS1eSBsJFW3ZNNXDq62wuF/z7EEPYyVhAtdc0eUjbwvZOlljuTlGr+0isOjJSUOcwJZZw7feLnj+uOAX/shhw5RAuxpQPPFylbXVCptHLFXH4nmi2M1sSIIMMXluCYlCqgykSb5UDTsmw3vErKs/ERR77xS7FytbCi7tEMDz5yFwl4biF+6JSlC6BPBMorg64uhFwSe+VCeIHKg6mTyhaE1T5V2Cy87JUFT9OhLFDgO9LFPKmwMYezktrql5ku99Z5cvPFbj8Pn05kuMopuotMowyZI/iFR/J9lYjnUric2BXgK4tAMtLjONLo3FyvQaWSlSgJtSrJQzuSnHUpdZ2UqgLXv0ZRK8NAGY5jBcxzBSh3ddAbdc3eTxV9Lv5nkRW2cCDp/cyP1fHefmPRGbZgKCSKD/+f/2bTOnTh/81/PnHqbid3nsiMNTB2ZZ63jUffC1oO7BxoZltFYK5Aq2Ki8vJTDny3NJe1P8+2VJUmZvSiAfsPX6IitZqv1QBXuXgC3z4HIY3Plsv4Hezl5LM9DeWXAZ2pj7H67x4tFK2u4jNEqkmUud1WCXm4vLMgUxzEqv+xjS4AOrcDDn0aTAHgK5xBhN2He48aoeH3xzh1/8fZee0WA0kZD0TBojSJORSTKQhaxzVnIHpSgqsjZj73RVURZs5n1bOwB/Dm5pMzKyw6tYLlmGAX6pmzKMlQEv5PahFKmTI7KNzVZbHkKMM96o8OG7Q1wnolaVNHuCk+e7nFtdoPmKz/vefs+/3rX36r+vH3zs4ujiUviuV19TLDRHOHLOY0NDceUk2VYXNpsbIooOdK0GmviyqfghaSKGXpdvCrHufbHUlYEzVAduh7R3AfSSJFEl7a2KnR5KG1Epu06S5JWCSQFuR0ccuSD51NeqpPNXUvYuOvfzvy8YGi8sS9+7HGiK8ptClgzr3rzYarBJQGmjgBzYVmISRaIyLZ5ovvMtXT77SJWD5xyQIVZI+omDJqsXyc91ktFzkid+cuYuSSdrs+lj6Wys/LPJXANbkDaVLTmIpU3/hjWZP26yAHVodR4G+2WlyZABMdC6QqSrR1KSbP1Qsrzmpjs563Qnuoob8dY39Nk2CWfmEnZtaL9rwjs5qjdN9PBFyEnX52LgsmPS4Gd9impdEiV3MtZbOqL0ZvgD58tNOZpeJ0vKOlYOvx5icWFLwWXpdcHYtmBxtQ7c6URWkz2ndqBSBpX73SpGyRiVMXiiYj7/RI2DRwfaWwqZet9FB83rMBTr34vBOSpp8MHr4QbkIU+8NJFKG5HWpshBCj+MNFdfGfDeN3U4/imPMFEgNInQ9IRAJ1lglpMPuaMiKIeTRQhsc10uUHZQJmplic3zQ9hBil+AkSnwTS5TSj54GexlIF8C9pKyK5+0XNqEEXT7+Qa2KiU0ncZgrmOoeHUcIeh0Qo6eNow1Y/SxC4qFBcWFJcmWaU3FH84WFqO4bL7VxGBzz8vuo1P+UCU9KtZd9PWJgMs3Nwyzdv4+Z+0c7DlzF0BXZSYf6G6VB5GyJE3kYGi+UgmOE3HiouK/3d+gLx3yCVqDrvlsBSnXQJclydBd/+eokzzBUqTJbdHCNkjZlzW4GKpPSYwmThy8JOYffKDDnzxS5fgFDSrKpIpDTwhULk8yPV4Em+tAnnvzFtD5DZf9TNpMomAz1s49cTPE5jb7O0YKhB2sHpeaCRnwS4Aug309G1godR0N9uAcspiFQilFzYeNkwE7rjA0Riz66q2CjSOCuk03V0IMdhwu/uPWEsfplhr9UBCGligRQyC/fHbqMsGFzG3Gy4C7BGyxjrXzRMowuM1AoshhBtdD/naus8v6u3TIlMUdHdIKDb/2uQbnFzxQOrMGZSZP7JDvXbwu68khlhpOdF0W6GWpUjQelHs08xS+LI6iGUIqklizaSrgB9/X5mc+4dKM0qlH1koCo1LbMMk/h4VEMLANByAf/DP9jcruwmx+0+BZDhwfKe2AwW3p2mX62xYM/joBZwkzJseQuATfaQYztoSRoR8mRJElTuzQygepV54PEWoZzdSkQh84E+LLDru3X0S7Pr7WmMSl29ckNv0Q1giCULHW0SytKVqZTixzwNDysg7UeatSuu/iMBDWM3cO7AFr21KwaYvAMm98VWoQZKZLlskY3RTSJJUjpiRVcsaOi2etIrQX8ZkvePzqHzcIjJPKE6EKeVI0Fa+zxIZ0dyHJypfp8hC3AwItWYVl0Ocpe5vue1Te4CtzVWKj8XXMD32ow5HTLr/5+VSLgyIRkr5JezdlQsHggwKsHFWD1H3ZrkxBPZAs1mZsLgaFYinppKWudijxk8qYoi49w4Mpk9yQRLlU+ubnyBiIYku3F7PcSmh101npJruREmPphCKdOOvG2KTHW+5dY+8OjT43D/2e5GsXHJqh5M5r13j/mxIqjkMQKTr9VANGscZdrrHSGiFJBsFlAd51vvelVtCl0fSlhTl2nUSxpSAz26K7vGWgGhQ7KWVKUiUHc4nJ5aA6sNDdxXM6a3BlFf7ka1VWgxzcKcAdmWpvLYblydCqk9tlJTyv15IFY9sBuIvkSslBGcgTBjtmmHV14lKijMIYTZxoRtyED7y1y2efqLLcViAjMIqIVI+vry4cvuVen8nTPNAgKZTXp+TBps1YvAB05pPn4BuWoVmprE1XEyNLA/SHmpLFOiZPcWAsXGwa5psJUZKm7zs9SRwLtBfyvrtb3Hm1YGVVcM0OyeYZib5lj2ZuvsL5k9O01jSPvWzYOHWeq7bAcsvhgcerdCOFUuCKBBXHKKWzktnLBw/Fa3kp2C8JyMptT2KgswfAsUPae7Af5qVBZT6cZgDuZCjAzIPMfJ8bXWJvpxrzha/77Hulgilp77SpIZcnw/UmRWtWib2HLMLS7y5P4hl7lqzC8jbY5WYIWw46rUTZgS8eJw7axNx2bch7bunyuw+4oEIQEisEgdEoIdItSPJAUwxAvV6uUPLBVd4jkduHee2MLBWKyXTGyxBz56t/CQMmJ7EcwDb/3XADxPpDSkHVEYzWFZu3ttFuE0eHBJHl8094tFtw5dY+91zrMqpnaVvJkVMjnF8eQfcChVKSW/ZYdmzps9zr8/tfG+P0Qg2s5vhpF5CM+JLN44JdmxImRyW+VIWlp9Zd2MsxeM70eVF8IVXWMbYQ69hbDAN74KJk75VFZyPGpMwcE2kzXV2SJLljIksSRabuiedEHD8j+cQX6sy13XS/a5kOeleCwY4N6+KFSy+GGAL8n6NOBmxeSJRybcq6rRbzLRiHuu7T/XPS53T7k5lawve9p8MTr3gcn5cgIkBhkPSFLG0ilYIqB7UYugvLRXTZP4tsZnYdymwuRBHw5TXk5Vgq/V0++11kejt7XczCGX6d14DnGWwh00bx6XHJ7q2aTdOaeiVCyIR79/ZARJxZSvijr43QWnXZNJbw5ilDxUvQN1/d5tzFJk/OLzHfNTx9wOH518YwsUPDt+zZkG6vV/NgpApVTxZJnnyMWsHUpbu1DGgEpSVyWHfnS1dx4ov66hJzqxzw60BezMhe/zoptHeR0MnHAasYJRN0Zgu6bkSQGH75Dxs8tr+S9rZJnWpvKdOuHTGYv1J81nxlWb9qrWPyMs7XB0/DGcyBazHY471cPlsuo03bzUzuqCSGWGpUrLnnppC//+EWP/nLLkEs00ZUI4kzV0UaUfpsKciHRjjYtCWN0udL34tSbJB112dJoDTAFMUNUASdxU1vL0n+lIc/XbLyZ1jJOjoxItXh3Z7g5IUaK02PaiWi4sWM1mJqfsjMWI/zCz2eem0R1084dnE755oGfXrO8Npxw+8/JNG6jok128YkI5UEr5j+lA6I97O92r1sGms+Oo1S0FD+kHk2an3x+4AFy4N9LsPepf3n5eXkibRFt3e6bbYpSZTS2N9cd2czrovgUsY4bszDzzl89rEqQehARRfau2DvIrC9NHO53v5aX5dTTn6tp+9yYVMxSngI3GBVXmU4XCueGIk0qVTJgR7Hmko15gP39HjosR5feU6ltiEpC0VC08uvU/YpB5V8GVvLUilvaZVJLcIc1NnnlKCy75e/t5k0yYGeX18rBKbYfjDT3Hnf6OsB3YI1WQ1M5ubHiabTl/iuU5ohaWhUI+7YHXDzrghrAub7CX1j0c8cbLC8HLJ9chTfc1Ai74IpdadrkQ6w1DIbhZaVqa6TJYOIeNChUTQBcHkWF2W9XfaWZcmxyPVvsZ96liovkjs5kAfA1mod0NUA3DoDt+tErHUsX3iiyuGLfipNRFoSK3LtLShNkLKXgLu4WfOLkwP69YX3MM4tRYp8qHy2LFXWJX7W14tLqZAmQRpNFGh2zUa8564O+w66NMMs/WpSPR6iyPeBkGTe+GWnTKUaW5WdHpm6LSpraRuweS5VsoSPyGrIC6CL4rqb8qpuBwxf6O8yjkz6/0l3iLOEsaDbFzjdbL6kKk1NUB6urqGkwdiAq6/2GBsDvXOTZXbEMOPFSOGx2tKpbirJkLyDfTAmt8Q8dt1S/DoaXGSRcA76vEhpiL3F4G8Uf68Ad+6DD4JLWQxmt0OMPRRQ5omcsosi0055Q8LvPFDhV++vY4VOfe8h9magveVlPve6gDL//hS5wdfBeEmWDLHkkP7OmfzSVjaTp+2NwSQSI1NfXElDlDhIZfih93c5dsHhVz+rieIByA2CQEiUyQdJ5FqhBPIC1BkKSReBAv6ZfMjrxtN7NAWyzP9vIpcqgxETuVVoM7AXwC9W/IEWHyIAkuL9pX25kJd8WCxrbUMYBeAbNsyA3n84oNnso6M291zvMDEii0i+DNr8kQ9qjONsr/XsApQao4dAfamDsm7MWFmqlDzunNkHM/Ey73udY5KPEygz9+X2rFfZ3jOpBo9w3Ihjc5LPPlKj03Ggoi5l76Lmu7S6iEGCp7iRufQ1/MVJngGDl0BfkizluSXG5PUeJaDLHOgSI1MtLqUmihLqtZj339vlS49XOHYxSyqkA6pJhKCXJe+FSJkSBEUni8h8cZlnN21RH57jfuCk5Kn7lL3TGe+iJE+GgT7IPKY315DMww6dsNQDT3elSJK0i2wYa4MTnNfytIOEm69uc/PVTaamPPR77qzSXK1x5lQVqUK2b+rgOZJ+qAmjfKcukYFbEEaKXqDoBZIwksWWGOUCzMvXHdhSv2KZAe2QPBHF7LuBe1KAO2duUR7MnjsnZmi7DVmSJVJmjknG5FrHBJHhoWdqfO2FrFpQOinA17F3XuSlhGAoGKYcRK1j8nUB5l/0KNi8SN0PDmOy7GHupGRbkaS62wxkipEkQqISiRGKKNC89YaQt97W4+wXHQKTuQFpJRQxmr4grTgkCyGFKAzsPPWjimUod1SyWvGMMVP2FgOyt1mAKLLAcwjog4yqKZJ+g1k5BZOXAu3EkGYwI0s/gDDOStrJi8NIM+wRuG7MaF3yyskJRvdvZHZ6Gn37nWNrr7249KUnXzDf9tTRgMmRPndeE3HNNoXnaEy+9Z9Np3t2+h4LKzUWVj3ixGb9eraQKsPyxF6evQswU1q+ctCXGLsAdg70wS4Dw87JsP5WRfo9Kb2OkTLt1JFuzKPPufzsb42QWD1wTmQ6KckRFC1pA8Yufb4ifrg8e/8lkpgDZOcMyHqZYofkiiGfepUVY4mBo1Jocpl648Jo4jitsvuX39/i8DnNo89KjCsyyKZfIDKKHmVBZUuy5DKavPDCs9U2/7xZQJnrcJHdACYf2lMweilvYNf9LCOL/AbBDhg8jC3LLZhrCtoBRKXx59YKHDdh7442d17TZ6SqmV8ZoScrX1ph85qS7kzn6MnV40tr8u/ve1Xw/KEGJxci7nrDIuMjHV49FfHAPsvLp2JeOJ6wuBbRqGh6gU8QiuL0DJW55tbeZQqmykVSZU97UBlYtgBLiZxSQFkUVL0OuMtSRQ8ldNJey3Mrgp/9xAhPvFBLN+WRblYS66CloCLBk2SbXA03F196ZJWWxZCc4WFEKmv3kmpdw3RJ1w/ei9JNvy6rWyaD0hxAsV7qlX9nYXIixtOWfS+7rPXkuqVGFlPEBxWHZFp4KJL4S9ytpRthnfwq1y0Wt4wdvB8aw23X/R0JcSwIibn26lVuvXaVa3a2uH5XiyAOOLcUMjPe5J9/pMObr60wWVUkURXbW/o+Wi8d1tg01Vn3JG+62sPRFfZcucbDLzk8/XKD185VOXzWQ6tUl+6YSnjbjR6bp1U2Hm1wIcQ6Nh4KMDP5UWbzYXuwvC3GsDSRl9Hc+Q4Dlz1UObDMSmGz14mb8InPjfCnX69hfQVCpegUGiHlUL+lvoS9X98eHNoL89JrfokHbte9LwMiZya7zlkpd/iYbBCOzZjbWjOoURESaRSJ0Mhewgfu63HghMPHf10TevGQUW+NQ5DVzoiiuCM1sS22BMpUH1uy7GYWpGUGUBpsiiyAzGRLag8OFoT8+tvCbRrgxCaZNpfZrZC9dqSkNq64cYPlbbclbJsJkTIdznTkXIdj5xKeeE1y/9c3cc2mCZRKkFqitCWxAj1Wc9Mimork2iu6bN+0xNOHQ/7rZzexsNigURHsGAffgZprGakIVtY0NV8wWh8sVZeySymVPTRpaZ3vnQG4DPghsOcMLzKAl7T3EIPLpOSklMGdIEu1J1951uO3vlijn2RT8EVuDWZZS2GHtPdlU/NloA9JsnVyRaxD+WVVSoqQ3Hu+JKOJvaSE1spSZlOWnBWh0sIsmRVnSUNiNJ5j+P53d3jqJZevvJDahbk3jhQYqwlM2o5WFJGstw4zpBZSSggUuTQpgTxveihp7vzfyasMi1XHMtDlIrUtrcnrelKQay0ZqSkmahUWFmfp90KqXoznpsN+rry5x7U7evzn+/v84aMR26cEu7c51GsOcWLRe7atESeSiZEOVq7yhX0Of/bECAQVrt1sqbnpqGHfAd8T1CuSkYbKhgKVQJkVQolywJgDIk/NX845yQFetgfL4BaDnb3UJTrcDHvg69lbJoMAU0d0A/ip3xjhxHkPqwe7JQ9p71wiDQF7HaC5DJgLCIthPP85gnxoF4McOCU9bi6rxy+tTTEyqziUZRZXiMQghEaGhh2bIv7Nx5o89S882v3syxhZfK4ETT+XB3lxtxmA3ErAZKC2FA6LygJKK3MnIwNzVpMySPKUcgb5vzNEelmgmrsrZGPkSN2TpZYisT6NmkPVS7dU91xD1YuYHOvysXf2mBqZ54EnfZb6DpumXMLYoE8szeI5Di+cXObxFyLa7QbTvmT7GHg63zw1TfB4rsT3JLWKxPfyQTp5N80wK+eyo1xJtp7Nh0bvXlaimJIPXtrGLmPzgrmHXJPS7ryZ5611RJzAf/1MnRcO+annLXPmHjgnjhiWJUoMs3a5IGw9c+ept/LQzcvx9SVMvs45GTRAMChmsmkx0yXVhiJl8CLoNDIFeSIxIjuSTKoYw417In7k25v83384SphkLA5FVJigCEyuxbNcewnkhUQRpSynSDfotWU2lyDMgLllNmU2z3LadedT5NKmFKjm9S1xbOkHSfZa0u1rfNfiODrbS8nj/GKVeiXinTcG3HLVGvNtSWxGECJC33LrB6nXa+x/8VWOHnmAN273kTIdsmJK04uUSncIdt1sm2s320dS5dZdKSu5fgD6ZR2UYUAPAG/XyZTh/RkH7J0MdHk5qTN0ZIGln/DVZzx+8zN1mj0n9QAzzxuhEEJkzskga1ku5VVDn/tS/T2oGhyeYjXYX+1SwW2H3w7jfQjolnICaMDa2VTYXJKUk0AitRETqZDWpPUqsaLhG37gQ12ef83joacVVOOMqbNPKAWxkfTJY4oByC1paSyFbZl63lmsmpb15hLGMCRNcmclTxIW6fwy2BmwvhGkpbjWpqPkTNrgEESSbi/dHW8wURiMkUSxRCuPsbrDfW+5m23bryPod9BbZxWup7lpd0Klv0Yv6mFNhXa3RrcvilU2r7l28lHEJXdjSI6UMlGvB+yyJSjWy5KSJBnIlMEOuynAk2G/W6ZWoCz2VU8DSyljpI45dErz3z7d4Niym+Z1M787fZYD9i45QUMgv5w8GZIm66Y1vb7kHsjadbUorNPdgyrDUlnqeo/cXqYQy5piU1mRSxVhEVIjI8vO8Zh/8B1tTs1pjp4XWF0WWAKkQ5KBnHUgz5NAqpBemd8NGYuLItDM0/EFi5eky3qgl2tPkhJupIAogSiyBKFFB0laQiLzcRXpSe4Fhk4QggxYWDZMbleMzXqsrYXoMDYoB1rdmAMn+1xYEWyfddk0lTBaL5s+GZuVtHE5Rb3OMi1J0Eu3uCjLkyHmzqSKymTIgMlLuluZ7P36ZM4A6EolSBnjejFzTcFP/XqDzz5cxTpqkI7PpMnl2FuVbsBLnZPBBblcUqfM6IOTMAz4IdZeB/b8Z5fWpJR1eA7ocgCad/7IrKgpf50Fn4khxuDI1FVpBpIf+3nF/JoAr0y3AosumHwgT7IbLX/OWFtJsFl718BNEVmQOczk+RaelkHJQ55fyhvUL1nSKK3wcph08vNtEWyatWzfHHPkjKHRSOeoeB7oXlBBOfW5Vrfx5UZj9zt8t8P0mGTrTI+KH9MPJFGS6rzyYHuEHV4yTbpUrMN5yRq0Q2w+pMGH0vNmyDkpbx2tShWDSuRsnWYqZeaapK/TWpMQw+efrPHVZ6tZrUluCcqMwXP2HuwaXJ43eNliqpL+lkM3MsM3fBnwl9MipZ8NOyelVD0pePIqvXKloczclFyPJ0IgRJb4kfmeNhJjVfYzibBpxaGnLW+/pc977+zye1+ShLFI07b5h5dgcYitoJ91BltRlillTZ6ObLZZQs4W2jstyMoRYaEYCmRFJmPK562UKR3ajTmPTSgRC+nPw0TQDSVVV6B1hTDwmJyoMV51vzw56s8p00f9l//8C3z/d+1Za1SDtenR1b+zZ/MB+P+3995xklzlvff3VK7OPXl2dzZHpdWuMkoICQkMGDBBTnxs44uvDfZrfK+NwfEa35dg+2KCwdhYyAaTJaIIEhKCVc5ptdqctGl2dmL3dKqqc94/TlV3dc9ISBgs8H2PPqOeru7p7a7+nad+z+9JVp0dTzeYrc2zbqxGzo/w3JCMF5BxAzwvxLVDbEuHzPVOFG1rJiAF3J7013RlTiqvpDcV1uiSAlUXuNOWO10Rb8XgtqyQyJB8406fv/7nAgfH3biIoRPQwbAQhsA1wDN0I3srbgOX9BZf2FwokQ/TiWhx4o8AwzA6yWmiu0m/1nWN7sBNotT1/qQd2i5Vii6615ZbEW1HbmFqsuq6qgih0VHOR2xcE3JkwmTv05YO+LR3Y2e3JgpIp/1F73N6d3LvJo9fZ5G9nY7eJqCVSXg+hGaoAVxtCeZbBvMtg2rLoNI0mKobVIKQMzdWWDpS58hkkwd2NVm7ZhkZP/s/Hnx81/1XXHa5ntEzPmlh2TYT4yZzc5LvP27y6K4M+UyId+0UL97cxDQMbEtPoFdKEEmTuarHXM2l1nDjkYJxs84ulaEzv7xbMemlJz0z0BOaYnZUEyNFRRJwGymHMpEEbTvi4KTB9V/Nsnu/CzmzTUl0YEdz74SatOss6dXoWbxiPuVstr9y0e1Q9uaidKyU6PqCu79wgW5Gn7LuKRXFaGchdofvDaGvnoZQbW1ctC27EWNRIoWJUFobD5qKDasDfv01VR7c7nDoVOpS1XY6NQ0JETSEdi6JW7gpmc5D6fDydo5KN+vRMmAs+3UVPiQ/KZBrgAvmmgbTdUGlppDtMiMBOmzBi7dU+b1XNyj4Bo/sjfj23TBcivAc0Z73YwFs2byRYj7DTbc1uPFrh0H6nL7UZmRAsaTcwLFP8eAuxf07HWxbW+swirhqa4PhUo5Wy6aBlVy1YmuRDiP3cO6EkrR1dLkA2KLtXEo6akqSOJWiJe1jsfU2I6argg9/Js+2R71OlmASsYzBbRrEE4rTbZA7uRKmSFvBhbLgYsDvlcCf60pX13dlFao0fUkoiwZUm6aIFPhTkU5DKKRQcU610jxcKIQw9TYSkqgmuXxzk9/7lQr/+5NFZuodNUUL8SIGuUVoiLaCkoAcqYFMAvjYWCR0Vhkd2tFxNDXNMWgLMIta/iCCiZpieHCOXzlnBhlp42pbgnt3ejzwVJHjEzkeerzMSL9Jf6bFr1xZwelfhlM8ExXNdwDePzQAxqpbVesH779iS98fA3hXKgAASY9JREFUqyhioATrxubJeE1+9x/y3P1khlNTHkacZKIixV1PVvmfr2vhGKbOPEzkn3aSjexSSNIWu4uLt9WR5DkdetIFcDOKH0vp3XEYPrHeDUPxT1/Ncd2Xc1QjO45Wml2qiRC6zXCinHQlVaW4Xm/0sstSLwpmPc568Uv1s4O7q0d4KqLZpbb05Isno0+MVMu3xHJLQyCkoc+nUjrtNPY9hJBE0oRQkbMD3vK6KienTD7ymTz1hHrIxJrTBXIVNzBJjKmKnUwrrlFUMm4rYXQ2Y7Jf2oq6TII62iIaMdoNOhTNs2HD0hr/49opLj0jIJIaF7YlGZ+e566nqnzgC0v40jaHDUuglLPJ5UZYurz6/re+fO2tD+88DsTZkH/17g8xtoSgXq+tzfvBK9csrbJm+SQP7pvnuluy3P5wP60gj+84+JZNwbHoy5g0Gz6NRoGM56GU0eVUppOq0hzb6Pk94eFpK252ad8J55YpcCepsR3LbZohwpZs3+fwnn8t8PSE2wnFJ7zbjGsthcBLLLiR8O4O907kwk4dZjopqidZqp081dPDXHSkLM3NO6NXFvBto3vCRef3JKE/xb3bf5MOmpHi390zKrtoIqJrwxrxrvEcyWAp4u4nbU6eMrRV7pWD4vtSdFKj271fUnxMLdjVi+zyWHFJjAWic65tU+A5gv6iwUvOtjljhUezlSUIfcLIpxVkcG2PdaMGq0ZrzDVbPLjHpFqFUsEj4/OZbXfecc8bX/NzHQsOcMllr0UYPvXJW9m973v882dzHD5aJGPbbF2qqDclgdQ1rK6lyLiCYs7AFC5Tswb9xaid2ipM1aEiKX7d+ZJkynovVFCMlO6ddiwNkYpS9oTiLTviiQM2b31fie17XZRtdGhJ24IbKVlQtRv59E5qWEwaXIymdAV2Uo5YWid9TnRFdf/arYv3yoW605jO99CUxFAdyiKF3khSGTr3QymkMuLn6A5ZQmptPEKBUIiW4sw1AR/741ne8h7B9n2xc2LQ4b3J5SSx5GiVw0nJh9JQMaA0ZUmuikk3LJmk2MY9w5F6c4s4r1sbRvAcQTlnEAQuuw57lPMBGS/EdUIsUxJGOqI5nI94y8tqXLl1hutvsukb2swbXnsZlWqdd73jT7oBvnIsg+tmeXRGctNdPq1qH5duEoz0Q6Uecu92iY/+x33XIOsZFHIW2Yye5SNl500usMQLQvEyFcpP8W+RstoiDfAIkWjfZgfYRhzQsWxJVRl8/KtZHtvpEpkJHUmF4w3dFaQtC3aBOpUekBiulLO5IHuQbsOWlq/SAZ8fhnDVA+w0wlW6TrPreOKMLpIzrnQ7YynjK4fQnWllwsdRSGHEwThD83GpiJBYQnH2xia//ep53vlBm2oowIZ2Ekm6mFKaRELQSsrYZEyw41uFLkZOBEIVb0ZDouXlmAGZMQUS6ILkpIeKEe+nak0xMW0QhA453yTjWXiOxsI9T9hUax4j/TnWjTV41YVTqJxBizKR6bTPaxvgk7Me2ay3b9/RJfs3Lh1dPbalhmVLspkm9zwFs40My0qQyxhkPIOMZ5LP6KxCx5ap9sWdjlKm0cn4S493NkQP6FOWW3Tlm0QpwEdtWmKICFOEmCLCsiNqEq7/WpYbvpelmYC5x3IjtETXTqh6Buv9rJmCqSt2dzBH9F6pU8h+dhu+uJISA4NuHi6h3co4bdE1b49BLrUenlh1oTQXl4ZEKAOhVPxjxA6oiVB6oJMjFK9/SY2dhy2u/2qO+QB9wmIe3r6NIRxJg/bw5DhUr3NkdDTTFDGwu9KNO122ksBQcu6iWEGJImiFilojwrIslDJoBYJmYFDICEYHqyiryvanXQ6dtLjvKZsz1ozx0vPL+5cO2fvqdbt9TpMyOz7wgb/nmpddtj+f9wcbwcnLougwD+wKuXuHwY59LgNZk76CST5rkfMtclmTXEaQ8yUZX5LxJJ4b6SwvK2rPoDTbSVIs5N+J5Ta7Q/HpMHyagyfgTpxMywqZD+CTN2V5z3UFTk47qeqcJFqZ3DewhC5kcLoKGRLO3dG90wUZXWF7o9MVt32/63iaZ6c4eHKsl4P3UKF0EYToZLO2G+Z0ntud1JZ2ihNunlZ6OvGJhIunXof4eJwSUMxHbN3UolIT7Nhv6SBQFx9XXbtcIbRcSZqidTa2Sp6bqEBtCiaQiNRVTHR9hnYSFnRmhkb6FkzWjwWsWNpgoFTj8ETIymV9LF+2/KOHDx/4l9NPP3+hBQfYM67wPePb9++0XzU5Pri5UQfTtNi4xCCfFdi2wDZ1TxTfhawvyXmSrBeRcUN8JwkAxT24DZk6kSreqR01RaQpS9rRFGlwp2RBkUp/NSMMT/H1b2d477/kGZ+2wTEXsd7dEUtbpIAseubs0JGuFmrfHZ276/tOfZ2i9+DzXOmIZnIgoSrQa7lTTTLjaKdUQo/RFp1wvlAdTVwIo92KQd8mdEVbcaRF0FKMlCL+9DcrTFUMPvutHHjxpWOBJddLYhCgubUjUklXCEzZyU0xEO10c4HWvg0RW+0kapn4BQKEiPSVTCrCyKTRMqjUBJMzDsVcP0PlFoWhgJHLYOmoeuysDcG3m81G1zntAvhvXfsq/v2T//vuyzeJh+aWupsbDYVlGZRyEtuKmKrYVOZ1Cq3vSbKeJOdHZP0Q3wvwnRDH0QA3jChuRKl97q5wawrgIqEqbd4dxaCPurTvNLgNI8J0JfuOWvz7t7KcOOVovXsBsLWkKWLObceAtuLARG+lTroQug1mugxWx3mMv6U0/36OrKQN5md9vKvgIUVN0huBFCePJbk2sBMeLrWlNIQuVu5Qk46zqavqE33cJGwpRvojfuXlNe593GH/MQfc+INJtSjIFQZhG/ExJ4/fq4HuTpu0Ue7onvqEGrFcG8h06+5kU8t28XEzkFRrkukqOKaglNPdxzBMygfch265e/vd7/nrP39mgAOcv6UAwuDkseOEQZNSvsWuIxHzDYsoKiKEj+9Kcr4klwnJ+SFZL8D3WniuHr1nGRFJ6y3djcloV+br09Sri8tuqy0kInYu2/w7nQbrSPYft/iLjxX5/sOe5h1dWnda+9aad9IGwjIWcu1FqUL6OSnn55kyCRMC3rUxep8vFldJ2mdFdUCxoKVbcomPc6VVWwNXbf3bUL2OZwx29MxNIY04SGQgJAghtVYeM/9ImLHTp5ANxRVbG7z7rXP8+ccKHDjhaAvRBjAJL2kDXaGjnkmEVV9VVNy7UnRar6D3SaAgjN+jKRSOIchailakCCOIVBzBjM9PzjQxbYmZqVNvBjy+I0PBhf6BLPnhJUiVqkZ+JoCXl7wSwzRbh440keG9/PvtNvdv9zDx2LTMYNUShe8pcn5EPhOQy7TI+U0yXpOM38B3dM0cQDOwabZswsjSiVgqccYSJ7NbLTFEL7ijFPBj1cSWHJqw+MuPF7jh1gwtEQ+nb1tsswvcBtp6d/K8Fxm/LdQCSsIi4GwDOPWctBz4rIY7/WCP+U4ALxLD1ZssngR/VIe/pvPESUDfFdnsFEIYcWN4KTrBHy0rJoDveLEJZQkleFbIG66sEUn4848WODwRKyv0gLttzU0UgkhBM/ZNnZTJNuNfpYKWglokiMIIEYT6GmCYVGyTvGtQihSRkrrwAR0wzPomm5bbbFxVw7TmuWtHg9vudzn3tHX8xpuuboVhyN/+2Q8BuGGP0lf23nFwdvWm737vyOXT0y36PJOBosVgyaKQVeQzIYVck2KuSSFbp5Ct4Tg1jp4KeGiXgWHqE3b+xojBItQaJu29lc5NaevdUcqSJ9REy0FdYXgr4vApm3d+pMCXb8vQMuIecmKxn3TEMtW8PjY+i1IT0g5cj2LSBfhua73AbP8IqxfXXRFNesP2+h9N+oIkFry7MIIO/+7i4WmQG+2uTYKkzYPZLigOQ4VtRfzi1XUsE971kSKHJ5y4CLdnE+p/sG1gpNKUQw896HSwSv4sVIJWGLGsPMOlp80glESYBvfuzHH0ZJ5qy6U/NOJJDhIhFI4dMjHt4NglBstZzlnVYOsak7UbRn6wYmzpO1Qwv+C8LgB4f5/PbbfdVlk9kt/9otMzlxw5junaNv1FGChJCtmQYq5FMdegXJgn61c4Odvgpvscbvj+EE/ty2EYFiEt/vatJ7j2ctnuvkQbQD3Wu829dRqs6AG3aYQIM+L4tMmffrTAl2/N0DJ7wL1AFtQKh210V+ksZr0TMKejiNBLRXr070WNs+oEf54PzheAd6Eu3jkokKRzTzRNUbEPKHrB3rbq8RBXmVjypOJI6+TtoJBUCEzNl5UiDBUWktdfWSeMBH/8kSInplOfr4eLt4EuTCSCQMX7Ib5N/CFHgEXANVtm+cDv1JDSxLAitu+vccP3Z7jpvhLHpko0I5sobnYUyYhGs8Vc1WK86GCZCmnmosGx/t333n1b5aKLr/rhAAetMNTrs291fHneZDU6+5IzDFaMziOMUM/OdEMGyxUmZqt85Q7BJ24Z4sB4CUc49JUgY0EYudx6n8HWVXX68qZuGmPqgALQxb0Tri1E1KYjOrCTVMVLQlvwL9/IccMtMbiNNOdO3/Zo3j0Ry17e3dveIgHxYu0h0vr3Yvy6LZMJ8Xzx3R3NXBDUUV3qSeexJH86ac6UnpasN0GXkpLSxTU1iTWAOCEr0cmj5BgmGHrOpkXEG66usfugxfuvz2uH0kyim4n1XoAkpBIEgKX0V2MZCscEVypW9AteuiXPkfESUSRwnZBVw3Xe9ct13nT1ONfdUuFbDwxyaDJPIAXzTclco8mx6ZCxQYeLNzeZo/TEzFz1rYVcYdFzay528F//7VNcdc0blWUP/9ZI7vjospEpDp+qcuiEZNUojPRVmWvM8d7P+Hzsy0uoNosMZy2W5CWDOcVwXrG8H1YPZ+greFiWvkQlOSTtVsddUckk/TW23MljpgRLcPM9Ph/8XJ4Tc3as8dndjmUqHVYYOhzvJrkmItWoR3Qa+bQbEolOt9y0Rt0egCVEz6ZID7KF9viSLu2btgYuUjp48tjied89gSajZyMZ3bfp5j9d/gM9k98WbFjaUlyvEpT2JbpHnShsoRjql+w9ZrL/sPXsjkeauxkCU+jce9fUI7mLvmJp2STvFQiCDI2WQyuwabQcwshhoGjysgtqDOer3LvTZqLikfUFF50xj+W3ODapCMMMP3fp5uMZT3784stetejbsJ7h7fGGV7+IZqv+hW984+H1X7lDZo+MD3LuOhvLmGFirsb7v1jgW/cO0VdyGMhI8m5E1oOsJ8hnTEp5i+E+i0ZTUG9o6VARtulJp3dJ2pnUcqAwJKaIMCyJsOCmOz3e8ZEiTx1w44LhdFVO70+HmpgLHMs0iHrK0dqlUb1OZXeQpZe3dIXu09/ts3z3XZY6ZcYX0pOUBk7asezRxJMqGtVt6dO3ssuKA231RMuIAkODXhna2RQKKU19ZYjpiorgjNUBH3j7HH9kwrfuzGgTafZ60LLLqktpEgrRjvZbpiLjKlxbcHxSIIRNX8GikLXIZWyyvkOt7lLMe7z8vAqhnOB9nxdEUYGyV+SKs5scmZpnPhhhbP1V2LbzjOf4GQGeKy5Rn7/xyx8OzLPeOjvTzF5zjslZ66pM1Wb51+/mue2BfpYULPqyEVlX4buCjCvI+jqEXyxY5LI6vTGtfZvt2ZSdCWeJDKjzUvStMBXCgq/f4fMnHy3w1MEY3Au07jQ10a3PbKE/WHsyQ8K/6QX1s9CNxVQVFv4sMFqpX55V61YsvgN6KiESh5MuCbED9s6xlJSIaqekJoBuO5gpB1Q38tQ4lErpkD5oWiINfauUnjScXOxbsGlFwPt/dw5DwE3bMjGni3eciLmIUCBk+/21hEUr1rmTzRyGivlaxNScQaTM2IIb1JomtYZNte5QyrtcdXaFVjDLp26B7z1a4NRslgtOM7no/NNnC4XcP5iW94yn+hkBDnDelq0EzVnGcg/SaI1z+3bFnU/kOTWZZW2/QTkn8WxwHUNPgPAMsp5FPmtSzEHO1+H7JGyvZ1HqPiW2FWCZQdt6CxHFDqhsY/frd2pwP7nP0XxjkQhl25LHltZOHJgeq51u+dBbAvasYE9jtkdCXCR5MIX2587DVc/Xk55+nDzeyUvRYG/nrXRZ844mrsRi1jzJMpQLuDlx9iFxMEimuLlGfaqzYEtxxqqA97xtDqXgm3dmNB83YuutDBCRPuEqAiWRQE2YeIYgIwVBCI0A5usRlqU/RxSaNAOLetOg5pq4js1MxaWc9zl/XZWVw1XueKLJw095nJgb5swLN8zOzx7/3PIVq5/x3D4rwFctH23u2Tfz2wemR7901/1T2f3HstjCZOOoTnqxrE4uhmMJPM8k6xnkM4piVpLPhGS9EN8N8JwWrtPCdZr4Xh3bbSGMMPZytCNDLCthCr51t8e7PlJgx0EnDsGnwCxMoMd6x3WR3dXxuviiXbhAt/VeQEm6HMYeMPeCne7Ch2QHdN/94RBPWnIvoCd0gEsiJbelQ0V3z5SOQ9rVfqINehGPA+lUA3XJhom6Egt57c9gaFVFsxdTW1/Qz2lFnLkq4P2/N4dU8O27fP0mhQAlMcLk5IUgQpQTEeAzJyycQGCb4DSS9iM6BiqlnubQCg1qDSOOaFucmHQoZH2Gyg2u2dJk1VCAVyzPG2b029n8aPPZzu+zAvzIiQnZN7jigUsuvHru2MHj2bxtks9C1jfwXX3Cq3VdIGpbkPEEWV+Rz2g5MZ8NyGdaZP0GuUydXKaGadZ5dI/k4b0OluXoL1cqrtjaYuVyfSG85V6XP/pQgacOPAO423WVHXAbKXCn5cCFed69BbyJdNltuZP87m6wiy4rn0C5Dfhn4i09x3pYSOoB0TbXvam0XXp4GtzpzSBTLxHXcQp6gZ7kr8Q9DmMurnNUjTZdQQnNx5MAUFyzKtv8HGhFnL4y4G9/fw4l4dZ7XQwEK5aHXLG1pdtJoA3hg3t8nthboBHlmMSJv6M4FwlAhaAUUlkEkYltaSs/X9P5KL5rkM1kyWeyzNTgF6+6Zm7l8uUPzM+fkjzLelaAjy0dAuxT9dm9r7/q8jO+v3PHY3bGtylmG+SyTQ6dMJk/msUyTXwXcr4iF4O7kGtRyDbJZ+sU8zVcp8JThwM+e5vHN+/KcWLcRZgKZISIQtasavILVzY4a23IH38kx66DtuYahkhZ7LRzmXAObXGSYE6Hd6suUPemwbYDOyy05N0gX3isjd2e56WPP9+len7ax1MHFwQ4SVlqkd4Aqjv4I1LyYdzwPilM7i6Do4uuyBjcmpMnMqBCSLPzplqS01aE/P0fVHjHRxSb14X8wksarFkRQGSA1OMmj5+c55t3VfnUbSWeOtzHSemjMBAiLmQXEJdgAGAIC0HIqco8B8ctCp6gmNGNVc4//7xgfJLXb1hfPhWpAs+2nhXgQjg0qnsYGxs76tnV/TQf3yCjU+w52mTvbnh0p0efZ7FmqYfnGGT9TiCokG1SzNUo5avUwypf+77gzz45zOx8DilclGegZIQSTYjm2b5bMdAXcWzCYPfTlkZqm2P35pqkwU43NaG3OicdvVzMej8TZVnYdm1RQKeB37sDOk/5oeBeLHyflHW12xirXj18Ydcr3YOnw82l1P0StcMZTyImrazEEU0FKBnTFa2T66CQESdhEVPIOLQfJ2oppRChYv1YyMsvarFmLOKMdQGiadAMfYLAJZImw4WI33plwLVXnuTPr2tw870DHJ8v6DwlNMh1dqHENiVZX7FhRcQFm2e4fw8cPmGzc1+GUqnM2Mp1+1csHzv66I7DbDl9xY8OcADDMHhq+/2HCvniW6S7cdsXv3UnD+8pMDljs7TPoNBn4jmCrC/JZyKKWR3l7C/W6CvO8dShBu/5TI47nipTb+bIZCw9qQ+oRzaVeQNFnRdf2OBj75gjlLDtEZcd+6245GPxMPxi4O613unK+GcsO0vnR/dgdFFns8eSd4NXdQhLSmZ8VmAnv6Se1tU2In2MTlCdJAAUjxpMntN2PEXaEY0zEklZcVO1nc42sOOKfAwZqyhgoB1SHdrUoEbF1UGxwyoMxY6DJh/5fJZACj76DnjJlhAZuczN52kFlqaQdkDGa/Du36jzyouP8FefHuTJ/f2EoYVUmooYhsS2IzItk9mqw0h/P7902Ryn5iTbHq+Q7zsXQ0Zv+cEd9x46++yzfhh8fzjAncwaqvPzZDOZ408csO6wjUOXnrO6wpFxKGUNBkoWxTwUcyGlfJNSocFQuYpkjrt3tHjvZ8vct30AJ+MymlfkHIln6eqfWstAlVqsXz7Pu99cYe3SiGpT8ZqLG+zY5emWYsYierfRCcUno/4Sy53O7xaL0JS2taYH3M8gFbZRnIpmtptqpulKanMkPT66rP8POc/pLMPkhbqilqID/C6ZUPTQFKV6uHhHKtRXBdUJ4RupzMQ4dJ900dKgTqTCWFVBgoyn9hggpNS9xm346p0eR8ZtKg2b3/+Qw1+8ucKGER9kiUZLT4BznZB516eQ9Xjp1ioF7yTv/WyL7QcHODLrJdcpTENiWyEnp218N0OlJjhwNGS0XOTKKzfdsXLtxcdbzRqul/2PAxwgl81y97337B0ZyH5469a1l974rbswjCyjgw5LBgWDpYC+You+Qp2R/gqtaJaPf83isz8YZbJSZKBkUfYkeVeSccB3dW2nYZhcdLbk6gsEywcztGpNoEk7tS5NTYxucCc5DUmmoCU6oDVTjmM6uSoB5XNRTxZY+0XzTESXyrLArPceXwzYaesdgzTBefqWnvu9Skk6l0UJ4ozDjvMpUQizsznaoG+3au4kaWk+ElvyGNyG7PQDap8XJTFUBESaShk2eBl2H/f4s0+UecVWwUWnFTBN8J0I34vIeAHNpkW94XDWqiofe/ssN2xr8A9fHuHQdC7eSApFiFJgmTaFLAyUp+lfshnDzHx498679m7YdMlzge5zAzhApjhCXzn/gHVw7qtjS6Zek1HH2LwuYqivie+G5PwmIwMVAjnLx77i8c/fHCaUWUYLUPYicq6uxM94kPUMchmL/qLFsv4iKlLMVGYp5kEZYTtbriMFdga0tsGNztzsdSbNGJhdPU56WiUYixzrTn/tfJPtw72eYxd1ET/cRD+PtQDUCyKT3RuhW06MaUjMaTuWPTmecj67rLuIq+9lV0GzTMAeu0TIhHQpwMQQplZAAGGYIDwyGQ8rUhw9LnjSM+kvGeQzJjlfkvVNGi2TRmDTDGwGyjb/7ecqGOo4/+eGYfZPFoikYL4lOVUJma4oVGRz5aVb2HzOmq/m+oYegOpzPpfPGeBnb1rF4YNHDv38FZf+flntMZvzR1813xjn4HjAhafZZLwmP3isxvW3lnhkTz++5TKUVxQ8RcaJJURPFyznMhaFrMlAWady1xoWWd9GRiamKbBtg/b0hVSeSZLHkVju3ob1nRrKlOZNt2Vu522wyG0M5LSFXzTBqmcftJ8mUoB/rkhe8FQBqdxv9SxWvfN4ylonAZ42BUkFiiTxbHnRlgONWE4k1tB1kCjpPa6bdiIlShhaIRcSFQNHCIiEBBkQhprbY5pkTCh4kiiCiekAqRxaLd0cqhWI+Nai2bJoNG36ii5vuLzC+rHjXHdrkwd2DBBKxUVrZ5mvmTx5pI/BA8PfuPilL/396cmJw30DG3/8AAdYvnIZu3beefiMs8/Y/pmvHHnVHffOsWFZmdNX1jCsKf7mSwW2HxhgrGQyUJBkXci44DsCzxVkPJOMryOdpZyimIvwPd1uTcR9CE/NwP27PLAdMFwwHUQ8gSFpfqn5dlJ2tngv766ckx5wEndUSjYBCx5fCO4FtCQNyV6y/TytecK9F/Dw1G26AxYpapJ+PE1RuqKh8et0Kywx0OOWDu3MxBQXl0LEpZg6y1CpeO5OPHEqmSsUNUPOXxfQXw6Yn5E6FzyCWktRmY+wzAAldd/xIDRphRrkjaYRz1y1KOYdLjtrloHyFL/xPp+cm+OMsSJjI7NIJ8vYmjO2b7vn7sOXv+ji53VunxfAAbzcEMuXjr4/nz+4+oLT5bUblk7huVWu+06GYxP9bBo26M9JcjHPdux49Ilj4HsWOd8gn9WRzoKvI52uo+fGm0aL+3bY3P54DjwPTBfTNLr6dycYanNrUjo3ncjloqVodKx6b953Lw9fQEF6j6U5fM/6UdhKG4hdFjtBeQrcIh22j6lHopjEwE/MdXt+PLTLxeJW3nEPFeJccNFxQEVc/aPQVUHxv6Ujnip+LdUeQCuloFZXXHpWjfNPm+f4XXlqoUM9MKg1JdW6wjJ1hZfEIpImYaSteb1p4DYsqjWbat2m3rBZWp7h1182zWe/a3H34x5XuKu44tLTv7Bk0+nvr88de97n1Xy+f/DBD3yE0868ohkaq751xZmPX350cnz557cZfPe+fsZKJsv6YKBoUspZccTTxHNNMp7ZBnchKynkQgrZgEKuQT5Tp1SocP/OkD/4aD8T1SKG4+NZBjlTdeZWihS3hq4IpSm6WzG0O8am27DF3Lt3TmUnV6WTyirSj6faRYh0OzWjO202mc+TbuPWOdZ5fDENvrftsSB+H/TeFz1XqOTx7onLaUqVXKXaVyuj+/FuuVQt3OTxHV1ba3TArcw4wcvAsxXnbqrz8F6TQycyCNPCbU+t7hgCfWUxiKSgFWqQ1xom9YZFvWkTRi7nrg8Z6pvnxBwcODl459t+7eI3HNi1q7p23bnPG+DP24IDXPv6q3lq54M1KV/buuerN/LYk3OsHjAZLRuUCxa5jIlj66b4zUCfWK2VQy6jyGd0PWc+2yKXaVLIzVMLG3xpW45Dx8tYWZ+cJcjGI1OSDmKRjItUU++lK8zekwfda7lJfdkLeHUPFRG9z4sPdg53s+0EvAvWM5jzdPQx/uYXPLdLYUlkwy5K0h2y70qh7QkACaGtsinicHuXRJgEg+LgkYqnM+j/tWtp2zM6pVZc9DQObZWlEiwdUlx7+Sw792aYrpfxLAO73d1MdsoAlU6hFQJagUJJiW1DLmMzN6+BvnVNhZG+QjC69vIn73m8WnvRBVfxo6wfCeAA/QMbUUre/+Y3bL1INu/yHdNgdNBmsASFbITrhOw5atEILGxL4CV9VPwwBe4G5UKVUFX58I0+/3rzMEY2Q8kxyNsSL246DxBK3dFfxePDk5rXBAQJWNv1liwWnldtWS/dRTZNVRZzPhfl4qID+mfDs3jGR3rADAulvvSxNLBF7/MFbfE94d5pXq00rdDUhHZrtHYuuZEK2YtOFmPnNWkrKmFoEoRm3IAHTEMShJp2gOBXrqwwPXeSD99oMFEtYQmjqxWfECKuAxC4DtSbDfYfA88W5DImkyWDSs2hWCxRs87dNb3n5Nu2nL70R4Xpjw7woYEcSk3/aSF7qbp8z7E/mJs64K0YrZHL1hjpa/DEQcW9O0v0+T4rhmxcGzKezjDMZ1vksw0GyxVCOceHbvD4h2+MgpVjwBOUHIlv6/mcVlwX2wxBNaER6To/pRK60rFsXRbZWMi3u35PARViOsFilnuRkH3vyVjUyXzuTFwlWFpMVUk7munHkrTZro3Qsb6kXq8tCSLaadsJL0/+TkraDYOSf7BDWeKaTxnP7mnZNFsWSumqKMcOCULdOYGM4HdeXcEyx/n7LxmMV4oYhhEPLNAt/Rxby8XDfZINKyvsnYAHDngsLSmOnrI5OQnnbl3XeMUrrv6G6/pq6WDuRwb48+bg6fVXf/V+9cbXXH5HqWCbllm96ND4cXPX0/McnKjwpTt8xsczjJZM+oompbyimA8o5VuUcnWG+ypEao4P3ujx8a8vIRJ5hrLQ50ryniLnQs6DjCvwHEApJquCU3WThtL9N4TocOvuefJqQevjzhCszvF0uZiIiyXS3LvNs9vHRaq1WHJcpMrYkv7ond/TvLxzfxGuvAgHX8DVF+Hb6Y3Zzb1FTNk6DnKbg5NEZTsh114+nh60a5sRlhXhOYowtDk1k2G26tBoWW1rHkVGzK1NHMfg/E11LLPGQ7scpmsetina35FjCXzPpFww2LSiydoVk9hOhXXLIiw7pFAcaw0OLXv/+Inxv77kgrPC54vL9PqRLXiybLPaWr+++L7DJwZb9++Ye3cpUzf273LZvifLOStNClmTrA/5TFKNX2e4f45QzvLBG33++ZsjSCPLkiwUPdkOCPlOrMI4Bo5l0IoUkVPDnG2w75gProPCxELpKjZUt6LSpaKkOlWlrOBidGQhSFhg2dPaSooiP7tlTy/1LI8teOpCq9y25CmNuzOQUv/DKlFRkrrKhMrQ0cpl3MAnCQhJJdp1wwmls4yonUOy77jBiVMOh486tEIbx1J4rsJzDDKupilhZCCVQSkndABHnODvvwTH5gro3uoK15ZkvIjZqs3xU3m2bJgF2WDPwRxnr/FlTQy9eyZY8gFVn2r9R/H5H7LgAB/9pxu56CW/Htre2NTpq3K/XXD3GruOWIjQY92oxciAzUh/xGC5yWC5xnDfLK1oln/4ms8/3rQEyDKaV/R5iryvyHmCnK9HhueyJsWczUDJZv1y+PlL5nj5+SfY+3TIkZMumBaOIeJmmh0r3rbmvUBfrLBXpMBs0KWipK26EOnGmwuVFP3chcXGieVPPw/xDJa51zle4Aj3zJWk8/46FC1RWVLzSuPj0HGOF9tgnStdXFpoaoua9+s8ti/gTz4xwLZHS9TnNVUJo0QqNDrjDKUGeBSZuI7BlnVNbKvGQ3tNTtV8bIPY8QTLMjAti7wvOFUV3PKAy2mbLpPnb1779uFS69hrf/6V/1F4/sctOMBZm5azdHjpnqf22W89OtX4x7D+sLF+icmSQZvRAclIf4PRgSpDfVPcub3B393Qz65jfbimx3BWUvB0UCjriTicb6SCQgZ9BcnSgYgVwwZDZYPz189z3/YCuB6QqlI30pPRFkmPpdvqpq1zJwqZBkXP7TN8/gXiyTNjaMFaVEVJ6d3J3XTCVZcCE6fUpvm4PqwtfyLxqdgbj7u4t4eF6f/J+HPoblcyrvpRxOmrXov79rg88FSZwZxL1ghRQBBYtAKTIDQIIggjQRhp4Iehvu0rmLzp6iqXnH2Mv/lig7sfGyCSJgqJaQbYloPv5ukrmrz1l7fIQv/Ktzq5M/e46siPA5o/HoAvX7WR792zq3XFhRdcd+OtuzPLlw78fb83w+plEUsGGwz1zdAMZ3nP5+A7Dw5waLyPwZzJYE6S9yRZV3erzbgGvifIeBYZX+vmxZyilIvI+gEoSRAZGHHXUeho4Ann7ljv1OjtNAifWeaIv+RF+GwatCkHdVFZ8PmiW9ClmixInU3fTcCchD17AZ+SBxc4pclLtP80zkERxOROEZFcoWScRps071ZESjdaUgLmG4q5apRSY8y2fBhJQZQGemRRzFmctbLCe39jipsfqnH9zUM8PeMTyYgwaiEjwaXn9bFmSfg/V5954XWyvj0yV53544DmjwfgAC+5aAO79x+LfvV1P79v8viDlUO7v53P2BVGBip8/Z4m199c5uhkDtu2WVGGsh/pPBVP4LsCzxZ4rhEHhSyyGUEhoyhkI/KZkIwf4DoBlhlixFU+piHiQVK633dn3k7HUewJBj4r7rrUlTSpFulNIhah0OK5W/c02Hhu+yD9xG5AJ3ko3YBPrL9Y5G+1tU9C//rkGLEWrsz4sxoGZpt+mDptVkaoKGQ+tJlvCryaphmdfamDPlFkEEY6iNMMDJqBSSswaQUW/TmX33hpg5ede4LrvpPjm3cMYBoh2VyO3NCLK6vP3LovaByJnMyPB9zwYwQ4QC6TYXT48DdWj532NkTzg6cO39L39Xtm+OL3BhnKuAzlIk5Ow2A2opTVPNt3db9xxzJwHAPPMcl4gpynOh1sMwEZv4XnNohUi4lKDkwHxxB4psQxFbal5wc5VrdKgtJpnu1gyDOAqoueLMLPF0usWvQ1nqOnuagi+IyITwVf4j9OrHUH2J3utF27Ov2+U8a/nRqLQESa3smkOSomplAElkkQWYSBzUA+xDYbVFoe1abAsxW2lQzojRCGALQVDyJotExqDYNG06TV0s3rhYDjT+cwcPjly6oErWmmZsd43auvmBpdcfbbb9o2/Y1XXtz/44TkjxfgS0ZK+ouKZj993nkvsR40wvffd9Ndg6eNtrjw9IgT8xVuvL1Ef15QzpvkMyaua7QnAZvxhK2Mp8j6kqwf6fbMfous1yCXqfH9xwRfvquEnbHJWgrPUriWHozlxCBPAA6d/jOdvtMpbpvgoMsZ68ho7fA6HfC202qfZSV/syAqml69FreHdy/y1Dbt6CRniU6BsEjlhCefpf2ZVPt8KKGzCiOZtLbWb9QQClPK9t8bBhiBxDItKjWfn3/RLF+4fYbbHsky7Tq4SUV87DAmnbtQglaYdDITVF2TelNTl2K+yS2Pwuxkjgs3Zbj2CsWcc/nE1q1X/XEQtj79qssHf5xwBH7MAG9/wWaRQ0cr148svcp43ZW194Zz9w4uXzLNN79oMVJUDJUt+oo2haxB1tdfynRFA8uxwXMVGS+x3jriWczVOHC8xT9+pUgzzJPPGBRsHRByLYVrEwNctNuwqRjYQaj5pUoaLsUOp+rhqb05HAv04cVA1/vZe34Xi5t1/Rqq7R8+K5Xpoueqk4SVDu4kG7nTJEjQVfSRGsoq0eAOQkEY6eQqQygsUwNRqURbtzANB9uKKDkev/vaCk+fnOHA+ACeaeCYEtvUlty2IhxLV9BHEqYrEUJJMr7BfN3Ug6QyGS7aeIoPfNZkfj7Pm1ZeMPGqqy57F9SuF6L4k4Dif1wmfKb1wQ+8l2t/4bJHBsrORH/x2GXbHpvw9x4ss3GZw/JRm5EBwUi/ZGy4xonpBscnBI5t6NZv2VTxctzFtpCd5UNfdvnCrcO4GZ9+T1FwdK657xA3IBK4Nri2zmK0TH1liKSiFepwf5Sy4OlAjxlLfKYhOj0Je2bjkARY2qDr3O9OrOoEgbqDPGm5Tv8vncr7jI35jY4F7hLeU1ugvTFTfRdNg3gOaTL7SEuAUhm0ApN606QRaMVDz7/pNM6Pr2MdqRTBppVNGq0mtz3o08Lt+DymNiyuo9Wv/lJEtVHlqUOKMJA0mpJ6UxCEDiN9gvlWlaYxNrVsZPkf7dr19PWnn/bj49y96ydiwZN14cUv49iJnZ+pN8beOX/PrX3nrj/E+hUwUK6DNBjua+L5p/jnb+egYZHPWFiWwncjcn5ALtOglKtRyM7yb7eY3PCDIaxMlj5PUXAkvgO+o/Acncuguby2ImbcL6/RVNSbimaow/0Qt9Iz9aV7gQVP9PJUZmEC5K5Ai9J/nxDjNPslpjlJI860xti22tD2DwSpgM0CHHcaYCY0RbZ/13nbuhuVtuBm8joioSZ62K4dDwQD/flqDYv5hqYPAr0RbEsRRaKdTKXPiUIIl2Tq3esvrbLnyAmuv8XgpJHVnWItiecocqEuYFk2GDIyNMt3Hs4yN+8zUgo4Nhlyctri1LTPNReNVfacGvq9AxOnPv+ut735JwnBnyzAAQp9G0K3Gf7mOaftXjWUCT5Rq+7w7tttU3TzjPTP8+/fMzhw1GPDiMA2Bb6ryGUiCrkm/cV5CrkZ/u27Bu//zAgnK0UGclB242IKR+liCiduH+cIXNvAsQ1sy8CyBLYlmQ9Cnj4GBiYZW+GanUu3MjvqWyf1VrR5ZYLPdHJTgkQp0dXpPR6ooNv6t6lO/Lyupj4yfjmTBQjvDUglf6ujkB16QxuMWvBInE0RUxPLlO3ZSa6t2+Udmyhw8JiDZYJlacPg2orQUfFAqG6HIBlz0ldU/NmvVDGM43zyliUcFxk9HNjWWaKt0KIVGKxdbvHLV8/y1e87LBs28HMN7nnCIF9a2whZ9t9+4dLSjccn6vJdP2H8/cQoSrLe89d/xX//5dOevvji/icPHG3tuHeX/fM7djasCzYpTlYrfOa7OfKWx/Ihi+EBi+G+iOG+GkN9c7jeNJ+73eBvPz/CRKXEYE7Q7+liimwS0nfRxRSuwHNNfNfE9y1yGYNyXrBmaciZa6fZeaLGrnEXIcx2O2UrpiOWGf9uaVpjWWCa+vfEAe6oFyoZgBB/8SlqYoo4HG10RgmKJF+kswmSSpt0i4l2Dkw6p8bsBK6EEaeyov0IKfXcnbalpTOP0jS0A2iZuvmpY0d4TkDWa1HMV3jqSIPrv51lelq3gZASnecdU5Nkw7aHDMY53wotHZZycO76GvVmg0cP2rRCB9cA3wbf0fn/fXlYv3yenYcVs3NZLjpdctE5I41CaehXn9i74it7j0xGb3zjG3/S8PvJAxzgw/94I9nlL1WfOlLaeU4xv+ucdcYrguhp+wu328xXMqwcMhgZcFgyoFg6VGfV0imOTs3yhx/Pc/0tI9TDPIMZQX9GJ2JlPcg4OgXXc7XU2C6s8E1yviCfVZQLEQOlFmevqzA2OMVdj9hMNnx8C2xTc8fOj76CWKbAtkTsrOr7htEZXZ2MvGurFSIdSdXgNuNbw+wUS3QssN4gHUrS3Xu8PaczVoN0775Oh2KpRBwx1AGVJM21s0FUG+C2pXBsiWtH+K7OA5pvVfmrfy/ywJNlCp6eqJHerqQyCpNq+2SImEInVIXSJOeZXLm1wXkb53hsn8nhCS/2hxSuY2FZFgMFGB1s8Oh+KObX187aMPZrb3j90RsH8w35+tf++n8G9P5zAA7w3W98hY+87Q3cvOv6HRvGzj5w7w7rquPHQ6/sw3DZZnTAYvlIiyWD0+w5UeUjX+vjrscHyTouJQ/KnqToKfK+LmDW1MSMqYnWz33PiIubVeyoRhRzTcqFBlLW+d4jJifmsriWgWfqtoeJfm5bBnZ8qbYtXficUB3TNFBKEYSKVqAngEnZhgTJgFfT0JvCNA1t/U2BFQM14d1SQhR1ihEglT8SN9DVtEFhWSpWKTTQDUOHw5stg2YAQVzo2wVw0fl721I4VoTjhPhui6xf58RMi8/eXmZyLkvJS02da0O8819ivZNBrJ1BYiIeS+OxctBiSX+Dw1OSk9MengkZTwfsQJBxLM7f3D9bGuj7703341948uFf4Mqr3vSfBbv/PIADfOZzX+T/ecv/YGlx/fZVywaOLV06eNnUTCVjmyHLhw3WL5/lwMQsf/DRQVSjwMYRnVAvlJ4IUMwK8hmDrGfiO0YbhK6jLXjG62joOT8inw3JZ1p4ToMNKyrsG4dHd+cxTZNMrJ87Fti2TuF0bK3kOLYOOrmOhefq11cKpquSal0ShJ1IYNtypyy+bSb8nxicGkRSQhApglASRTLeJJ2ErCTVwE42nq25rWtLXFfi2pJQCqbmBHPzSleyt/l3rALFo4v0xpDYtm6447stHKfBl39g8Kmby2SzLjlLtceaG4bqUnpEfEcqCEODINQpsajkc0pmKjZ7j/QxUvZ5/eWz3LdXcXzCpT9nUMxGDA+5lIa2TAbq9Ld71vLPWAzy6p//yTqVvesn7mT2rt/8lbcBcOzEzKe2mJa1amz0fTd8c9ug781QbVb50vfzrChlOG25xfmnN/n+joAHn3TIuoJi1qCQM/EcPcUrklKH6y0Dz9EpthlX4bsS39WXZsfSk5KFo7DtWEFOjZWGTnagacQAtfUVwXOTic4KYzBg/8mAw5MGRV87t6AwDIEVt0FLW3Mrjqo6tubSyYaozEtqdS3nmKbAVnqymWmAMkVHAYnpiWNL3TTH1YUitaMmu49ksOhYSqmMdp67HevQsk2BOt27AMIWEOg5PM1Q0AwljUBhtQzdp91I3r+JZYKSglqkz5nnCUIpsG1JMad4ZF/EXY86XLjJ57TVFr942SSf+EaduRosHfEYXn7VxPkXvuidMgw/Zdrl/2yovTAAT9aSkRKzlflPXnDBRUJK8V6v9ZXBb90Xsu/gABdvstm6Cc5aP8t9+wWe5VDICsoFi4GyTbmgqNZC9h9VZD0Ra7B6+rLvxeB2Ihxbjx60rYi5imJ8yiBsp+B1B3U039USo74qJFRH0VcIWDs2y9Ozde7f30ckLfqQ8YZQOq86CXsLDW7bAscB35F4jiTjS6Yrkt1PS+YqeiKG64h2vaRpmthtXt/h0Y4l8b2QUr5Bxp/hsUMWd+90OX1UEkXx9GIsTEPTojACGYl2+mpaLzcEDPVJ8vmIVgjNSNAMBU6g/y0h9DQOywDH1nTP9yQHjkoqNUk5bxKFBo5t01+0qAVVHj0wj5BZgjDLi85qccmZszx5oMyGM66Z2LL1Re+KQvVJ6wUC9wsKcIBiPosM69e99MXnhU8fqv795K33lc9b1+D80yPWr5rilkdCduwtsqQk6C9aDJZtlg1LVozMseNQjWOnSqxeYse9yXXuSsaLcB0Naj1ZIiLjhWw/IHj4CYeW7A7WdII9miLYpoFta+kx42npq5DTfc5fdt4M37g3w+SpAhlH4doqDo6kpEYjoQjg2bJdprdkoI6fqXL4jgxzUx5L+mTb6pumTlJKNoog4dKqTTEK2QYnZ5vc8pBLpSGYrcW83Iw6G9MSRFEnDN/bddYw4NyzWmxa3eDhPZKmrzdEEEGzFV/PlMQ0Bb6nME3B2HCDJw7N89TTHisGLJRysG2LrJfj7FUtrjpvjm0PC4LQx7GLXL61ny3nvXh6bPUFfzQ7b/xbX8l/ISH2wgIcwLB86o3Gp/3SZVMbV9fXbF7b+puJ47fYX74z5O7Hy5Rdl7FBg1LBYqCsWDE6Tz4/yQ+e9Gg0tSznebrQebDcwnNCglC0NWDTlDh2QDNU1Oo2YCxoENSOZsYc2jEFrqPwHB10yrgBth0xUAjwjIB6AK2ItrPZlg1j/qqpgsJxNF3KZUL6inXqco65psVE1afgq7hGUc+ijGzZsbpJkMZIpD4t80UyZKpi0Aqh3oJGS+G1FC1b4tiSIDL1CGyZvK9EvSauljfI+Yqs1SIKJa3IijeoDoRVm+DZCtCGQkqB50guOrPCnU8KxISB6wQ4jouUHstH+nnl+TMU/Gke31PHLV8VjC0z37Hx7Av3GZb7TUO4LzS8XniAA/ieJ6cn9n7jD3/vNc6+3Q/XDp5sfuyhHU+KVf0Ym9eZVOraqvUXAob65vjeExGP781z+ij4nkEhqxjua+D7s7QCRbXeh+dK8gocKyRSAbc84HC86mBYRipKSMrBix1FS2in0wbH0Y6dY0fYZkQkFVJKQqnVjEiqFNfV7zHRrTW9ULhO1B7hYpkBMpLUA0E9AC+InchIxa/dKT9LqnLMGOSmGWGZIZahCKTS/DmQtAJFEEjCMN4ocU62TDcBikEeRgYDWcGV59W4/ckmrUh//Y6lr1hTrYjpAOSsIONF1Bq6hfHZq23OP73CnQ+79BcE/aWI8SnJ/qMGZ64pcfW5vrzy0s1KeGt/VxTO+tdHnjjWOm/ruhcaVgALR3e+UKs8uJZ7H9rbajL0aeGsO+1ll5z5F6968SDNaJJH99UBxXB/nXpY4eYH8+Qsm1LOIJ8R9BcCVi2dZtv2Gn/3uRzb9zvUmxZCKLJ+k+0HJN99IEe95epc8tRKW/LEydS6eJxEZGu6Y5pRPOdHEintpEnVnoStT2Ys95kxTbGsONBiRViWniYnkJoShEKDMlJEkUJGScCl+70ZcbhdiKQniiSS+goSRNCKFEGkCCNJJBVRclWRSeJV5/UiaeDaFtecV+fcNbM0GxERurXeaSsd3nFti0u3TLH7pPYXKjXJdMWk0cjysnNaWH6N8Rnd42Tz+gqYE+w7OURkbf2Li7auPu3sTYOfXtK//6cG3PBTBHCAi849g9M3rK2v7Jvd/ci+N7zviov7323k10au47N0oEWo5njvZ/Ps3ldguKA7lRZzMDpQ47EDDW59qISF2x7TkfMDnjwY8CefKPPIwX6wHKJIEaRpBR0r3pbq2hlyGqCmGU9jNnUiSSdsn5SAdYaqai07DrTEOSBW/BqGkKAkoVQEMUA1pUjArbr4fHvseQJwBUpqa9+K9AybMIxfI1LtIJRUScla/J7a4xslrcBm05jDe94yzYY1c8w24gIOYRCFOV56tuCMtXMcndZ9Bas1wcSMxxkrcrzrl+aQVoOnx0MMI8uLLlgb1d3l737xNRe87+Zttd2lvrX18sBPLnHqR1k/FRSld730Za9m5si/RMVlv/2XvzZ+yj5txXdfJ5r3jf3zTa5/8kSGFf06w813BeVChONUuf47PrNTPuvX64ruYq6FYVW5YZvHvU8NM1x2sUSNRlCnHuQI4yqItJKiw+wiDnN3AKoteMh8Q+c6d2oc6covT5zD9MRk0+yMLE+mI0QKQtXhyhqU3XSnvVJ5KLalyHkhoVQ0pUEQ6eKCMFSEskNzEgczWaYpcZ0W9aDBVNVDRX2cs7bKtZfP8MEvZpiZt5mdjzh+yuG807K8+eVT/PW/ZpmpmtQaesM8PZ5ltODyO6+d59YHB/H7Lmi+5IpL/s8vXdv/l17mBv7mf77+hYbNouunEuAApWX/jemZChnT/DPfc/88N/Kajyqx7YzXXt664L6dJ6yTEz6uLRjpa/DQnpBjJ/Ms7TMYLFsMlUP6ihW+95jktkcH2DRqsWGJ4KoLIybnT/H+z1m0Ij+VdZeKRrbpiWzTE9sKMYyIr25z2HXMwbJSiVep1c5JicPlpqHav+t8bP0TqUTpoG25E3rSRVHoiHxBKFi9RPKqy+o8/pmIZmjSigRhpIM/UcrhlSn1RAiwzAhFg/d9scDU1Ag/t9Vh/fI8V545wWN7Z3hoez+nZiLGpyyOTeRYNjjPORsrHDjosaGl8OyIAyeqnKqsCl/+ouCeree/Rg4Mbrjn6MnoTxv1eTz/h09aeKHWTy3AAcqlPMQl348++NXffu8fnJs/dGzunyca7hv7MpOGaYRk/Brjs4Ks7bB0wGbJIKxaUmW+NcdnbyvQqmU5cxVsWGGxYtjn3H7FNx+qsveA37a46XYMHZlPa9A6Cy/EMgNOzdo0moKc3V0CB/RcCZKkKYVlyC4LLhKAKzQwlYqdQkV67mWngiimJ+jJGEPFAGRIPXJohnqEYxgmPF6i4oFSMu5zIpV+H4/sMbn1vjLDGYcdZQth5Nm6PuBXXzLJkwd89p/MUcqFHCk7FPI5BkvzPNEMaLTg8GSWpcsHZSlcd8Pjx8u/ZY4frbzp2vNfaHg8p/VTDfD0Ovvc1/D9+/dXzFLm91559Yq9M8cfPKPVaL7m8MljPPKUy2DeYeWowbplNZQxzXXf9jhxMs+6YcVQ2aa/CKYR0VdQDPfBoUPgWArLEO18bJ3m2q0/u04Lz2niuy1cR0/PiuLe2qoriVssALdpynbBgTBkUnKDVCpWYeixvN0cpdNMtNM+LWxKaDapex7VQJALhAZ51Mly1LnrOiErCHW3qfFJk+k5waAfMTUrGJ+02Xe0wPLRJr/58hmu+6bJvuMZSnmTkf4sZ6+u8sjOOXLlLTSs4lc3nnXa9jUrRz5E1KwI67k3oH+h188MwAFefP5qgFPjJ479uVh91goRPMwP7s++RrCXZQMBp62qkc2d4uPftLn9wZJuxF80KBdMygVJf7HBE/sFj+zMUPB0kyHXFiipVQiptGJhWwrPifC9gEK2TrlQ4ehkyJ6jJgRarQhj69hWUVIVP0mJWAfk2orHXiJSSlrS0hVGUjuZSnYPdoXOhGZdkRPh2iHrxkKWDlY4Om0zJTLkHEE+kDHA9YawLb3Jmi2Tas2mMu9wzgbFhjV1Th7PMFONmJqzmJhxyGfLXLNVYRrTXHeT4vH9klLO5PzNI/zmGzfgZLd89ecu3fj2U9PVQ0Ise6Eh8LzXzxTAkzU8sgQZHj8kzI1/VB7KfPotbzrr9+1g72W+uIt/+47BQ9vLbB4zMQ2FYxuU8pqrjw7McOsTgrmKy9JhGOm3cF3B3qMBrUjnVxgCHEuS8QL68jWenqjx7s/kODqZY9VokzPXzrH9aY+m63alzUI6rztOxbV0Xz/HCvS4akOiJ5VFNKQVc2iV4uJ0iuFFErKX2HaI7zZ5ZJ/B/hMWH3r7NE+fqvGJ7wxzcqJEwdNWXEmd2FUuBOQzdXYf9pibd8j6HuvGXE5fVuXxp0qMFw0GSxHNlsnEtMXU7CAXrJ9h7vIq2x7N0r9kKxvPWrfN860PzUYbHj82Gxxas/xnD9zwMwpwAMMaBdirlNoLbD+wKxw9VVnxT6XBvWtH+rabF50Z8uShiEg6jPSFBHKOf/qW5LPfzWIaBnlfA3zDqirSmmf/wQJRpDVsz5UUcw0mK/P8xacK3P7IIFec1eDN15zkFRdUeNtHfE7OugQJd4aUFp7o4DJOVQ3w3Cam2SRSEtMIQNWZb9nUbKFBHqso7WlpEEuOCtOSeE7AoYmIP/z4CJOTWd795hq/dmWd5UMneed1FtO1LAM5rambBuQyLfYfn+G+HUXWLSsw0m8TRha/8+pJMr7FQzv7GZ+2ONOImJmvsX2vz89lsrz26guil119xt5Dx/nvY6svOg7sHnq2auifgfUzC/BkxUW8ux/bObfbykTXXHRefukvvvLcG+Ynbi5M1Y5kg7pioFzlhjskB46O8Irzq3z/0TqOlaOvKLDsgKMTkkagFRTPkWT9gGxmnlsegYd2DnDOMoszRgtMTjucveYELzm7wue3FQml1WV19fvRwLRNhWNH5DJNjpxq8NYP56m3BH/ya1VqrTp/+e9LmJgsU/Y0f263taAzYUEHjSRCBHzvMY+Hdw2wZcxi5/4SfdkG5649wYUbZ7nlfo9qw6AV6tfxnIglQy1CGTA1J2kGghPTiu8/OsJLzvRYOTTLjbfaTM3aFMo5/PLY/NrNL54bLAWvz/WtOXr2FvOQ+BkHdrJ+5gGerM0bCwShOrT5tK1PG6py+q6dV1746lcZn4jm94Tjpx7qm66Y+c0rs7z2khkqtRqTp/LkfIlSkumqjWMYeK4gm5GU83VaUY3P3T7AUMZm5bCgkHWYm4f5epZfvWqCb90fEEmrq1InkfhMQ+vnvhvg2DVue8Thaz9YxnmnSfLeLFefV+GeHdN88jtZ5gObMFLdxQ90NHbTUNQaEf9+S4Gsa1H0FbMVi0PHsxSyffzS5Se5+9EaU7U8I3VdwR6FJvmsgRQwX9cU6IGdJl++3ccIS6xaXuW8zfnKsjXnTr34ojXWzDxv8Qqr780PFGZBSSF+quJ//6H1XwbgoHOhAbl77/Fp219xcy6qrK89fWNzw1n/7x9eXX/oTVlxKHjySGPjk4fwxgoSx1bksi1yGQ9XmpRygsFSE9et8KEvexw8kmPDoKKctyhkBbapaAUWStqgZJuOCJGExzuOnmXp4Mrtjyk+8e0R1i1xWTtgcPBolr78HG++epx94zM8tnMwLqBQ7XpMI542HEg9y0YYEmHY+Ka29nPzEafmLI6dyrBqaYbfed0UH/uyz8ScxUhVMjdvI5se0/Ngq4hGU3DJZo+jk5lGXQ7vXLb8AvuaV2z+9NJzP/B3xx54p7tkNN8Iw7r8SfUmeSHXfymAJ2v92lHQ+nntsacOYlnW35iW+TdLlq8yTee0j71aheubM0cuKRaPmZEU+JZB0VEsGWwyNjzNU0dqfPF7owzlLIoZKOVN+kt6GlyzZVFv2KhQ4mUg5+vWc/WWxGtFuuoFDXDHbvK1u32mprKcs0KS903m5m2OTWTZvC7LL1xc5cHtfQSRLgUzDEM3PXIjmoGgOm/RKlmYJriOiW9DM1BMzUXMzJnMVm2arSy/+OIK3314lj0HypSyAccmDIaHHIpZ8DNZhkeXRKNjA3defWVm9/RM/a2GYUTZjM+px/9YZQqray/09/WTXP8lAZ5emzethA5LDscnZn5r00an3KhNvef4/u842x5pRf19A1u3rHHOsb393LujzrGpiCV9NiO5FqbpMNyvwKjy6F7F+mUZbKdKfyEi68LSQYuRgYAnDwRMzZkMlZPooaQVBQQyx2BOUMoKXNuk0TSYqThMzmaxaGDZAaH09JdhwkAxIhR1ntxvs7RsM9RnM1WxsDBZPQxrVwQcP6XnuK9Zqjhy0qLWKLF2uIKjbCyvhOGNMbak9tDFW6YfjlhjnnvR1a2hkf4/GRxrTTvefz0r/WzrvzzAe9fwYAlgGvgdgNu+t42zTueyUja8ev+JJa9vNOWGK190nEplnOUj09z1qE1/fp7p+RnueqKIb7tcfq7BNec3efwpwUi/wRnrmuw5GTF+AhL92rEkT+w3eWy3z0geBkompQLMVkNOThtMzvpsXafYtLrFqWNeXJkDpVzIgek6j+5TiJU2m5oW997ncWLcYtMZJudulNx0b43D4xbnbDS4+RGPjUtLLFu2kl99VZamMHc160tuKAw5t1w9oLZt3nop73z7C33WX7j1fx3Ae9eVL7kMYNvjeya3beznjpGiXNOqn5Qrl35ZnntW36qhpevembP2U50YYdVonflGhXo9YrjUxLEU+YzCdVoEkY5sZj1JKdcikoKTsw4zsw5ryjDcZzAy0OCeJxWIDLWGRV/eYrComD4BU/OCwbrUdaYiotkKmZuPqDcU+44aqKhJFEmaYT8vvWSMPQd8xtasZufM8ffVg+qBV7/iJcbQYJ/R3xftA24WYvSFPrU/Fev/eoAn66x1/QA3J/enpyaxbKe0ZPrEPQcOKFqnWsGrXzH4B6EKX5rpa3Ke12J8aje5XI2sbzFYMKCVoa9U5+H9DVYMgG9FjJQUjbClCyC8KhMVk7xjE4Y19h/JMDsHywZClg63qMwXkSqLUi1cxwRhE4h+XvOKK7jycoPRPgMhvO8uHz76956btUfHNvPnF79sW6PRmhke6nuhT+FP5fr/Af4Mq9zXDzADfB1gbuYEQrBzfCYY9mwlS/0thvqPY9stLNMi4xqEoQq2nLPlf03cX3tlphQES4em+Z03likV6ogoz8hIjS1nWazo9zjRrNGat9i8scWSosvG1crefrDvJnjifwnDth3bxLQshFngzE1b4tYYypie88eF2Hzgl64deaFP0c/E+q+h5v+UrGMHb8c0xfDXvj9ZHOtvquXDsxw/VWCwXOXp8TLDgzXu2WExVnY5dKrBUMHhxEyDpWWbjasMceDUslmBGn/1yy99oT/Kf5n1/wHzib+5gbDidAAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxODowNzoxMCswMDowMKqaDGUAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTg6MDc6MTArMDA6MDDbx7TZAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 62815237
    {'hecke_orbit_code': 76561331238470032, 'n': 1, 'trace_an': 4}
  • id: 62815238
    {'hecke_orbit_code': 76561331238470032, 'n': 2, 'trace_an': 0}
  • id: 62815239
    {'hecke_orbit_code': 76561331238470032, 'n': 3, 'trace_an': 0}
  • id: 62815240
    {'hecke_orbit_code': 76561331238470032, 'n': 4, 'trace_an': 0}
  • id: 62815241
    {'hecke_orbit_code': 76561331238470032, 'n': 5, 'trace_an': 0}
  • id: 62815242
    {'hecke_orbit_code': 76561331238470032, 'n': 6, 'trace_an': 0}
  • id: 62815243
    {'hecke_orbit_code': 76561331238470032, 'n': 7, 'trace_an': 0}
  • id: 62815244
    {'hecke_orbit_code': 76561331238470032, 'n': 8, 'trace_an': 0}
  • id: 62815245
    {'hecke_orbit_code': 76561331238470032, 'n': 9, 'trace_an': -2936}
  • id: 62815246
    {'hecke_orbit_code': 76561331238470032, 'n': 10, 'trace_an': 0}
  • id: 62815247
    {'hecke_orbit_code': 76561331238470032, 'n': 11, 'trace_an': -4560}
  • id: 62815248
    {'hecke_orbit_code': 76561331238470032, 'n': 12, 'trace_an': 0}
  • id: 62815249
    {'hecke_orbit_code': 76561331238470032, 'n': 13, 'trace_an': 0}
  • id: 62815250
    {'hecke_orbit_code': 76561331238470032, 'n': 14, 'trace_an': 0}
  • id: 62815251
    {'hecke_orbit_code': 76561331238470032, 'n': 15, 'trace_an': 0}
  • id: 62815252
    {'hecke_orbit_code': 76561331238470032, 'n': 16, 'trace_an': 0}
  • id: 62815253
    {'hecke_orbit_code': 76561331238470032, 'n': 17, 'trace_an': 0}
  • id: 62815254
    {'hecke_orbit_code': 76561331238470032, 'n': 18, 'trace_an': 0}
  • id: 62815255
    {'hecke_orbit_code': 76561331238470032, 'n': 19, 'trace_an': 41936}
  • id: 62815256
    {'hecke_orbit_code': 76561331238470032, 'n': 20, 'trace_an': 0}
  • id: 62815257
    {'hecke_orbit_code': 76561331238470032, 'n': 21, 'trace_an': 71704}
  • id: 62815258
    {'hecke_orbit_code': 76561331238470032, 'n': 22, 'trace_an': 0}
  • id: 62815259
    {'hecke_orbit_code': 76561331238470032, 'n': 23, 'trace_an': 0}
  • id: 62815260
    {'hecke_orbit_code': 76561331238470032, 'n': 24, 'trace_an': 0}
  • id: 62815261
    {'hecke_orbit_code': 76561331238470032, 'n': 25, 'trace_an': 0}
  • id: 62815262
    {'hecke_orbit_code': 76561331238470032, 'n': 26, 'trace_an': 0}
  • id: 62815263
    {'hecke_orbit_code': 76561331238470032, 'n': 27, 'trace_an': 0}
  • id: 62815264
    {'hecke_orbit_code': 76561331238470032, 'n': 28, 'trace_an': 0}
  • id: 62815265
    {'hecke_orbit_code': 76561331238470032, 'n': 29, 'trace_an': 461904}
  • id: 62815266
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