Embedded newform data - 98.16.c.c.79.1

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• 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': 25088, 'analytic_conductor': 139.839634997922, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [98, 3, [3], [2]], 'cm_discs': [], 'conrey_index': 67, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [1822500, -1350, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007336962130018, 'hecke_ring_generator_nbound': 9, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 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': '98.16.c.c', 'level': 98, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '14.16.a.a', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q+2^{7}\\zeta_{6}q^{2}+(1350-1350\\zeta_{6})q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '15.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '98.16.c', 'trace_display': [128, 1350, -81060, 0], 'trace_hash': 2200372309336579538, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.912', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.904', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '97.494', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [2, 128, 1350, -16384, -81060, 345600, 0, -4194304, 12526407, 10375680, -70121184, 22118400, -302939104, 0, -218862000, -268435456, -249756546, -1603380096, -6476856550, 2656174080, 0, -17951023104, 21129196200, -2831155200, 23946854525, -19388102656, 72563347800, 0, 15589650708, -14007168000, -95032053412, 34359738368, 94663598400, -63937675776, 0, -410465304576, 870082295470, 829037638400, -204483895200, 169995141120, -2015333314524, 0, 310015170544, -1148865478656, 1015390551420, -2704537113600, -2551970135004, -724775731200, 0, 6130394758400, 337171337100, 2481677139968, -4047645687774, 4644054259200, 11368046350080, 0, -17487512685000, 997737645312, -12599248786302, 1792917504000, -39925031318044, -24328205673472, 0, 8796093022208, 12278121885120, -12116940595200, 48423780261124, -4092011249664, 57048829740000, 0, 75386202732288, -26269779492864, 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-4925296759329570113984, -685039266888180301824, -1412831571724592662500, -151126874148943540224, -1663847151593200775040, 0, -7879171645665723021692, -3884770207251363098624, -2000165743591606080000, 1101034143231246336000, -7545026697558040756122, -325690134074441625600, 0, 3799308051901262856192, 253600436963694595320, 3165547975569239545344, 1908402569197707676704, 97277751951202713600, 5631376425692024143220, 0, -3750827205667472245800, 3933914710399557861376, -220729400465740332924, -248536076954147546112, 2275718758269193889300, 1166130421182230429696, 0, 9690928052478833892864, 6526512389303989766100, -271572411103838208000, -2643084896426034794496, -675475848021545625600, 565618623202560121200, 0, -4225704248551141910400, 1933925128267957747200, 3270717780081517814114, 5055723809280161906688, 627586619784103526400, -5126011758930983854080, 0, 3684136082917086461952, 6047426607330094196288, -6847154206885285749760, 442937915258796594000, 5104182006225785913344, -6246956738773727135856, 0, 1274742492827505472368, -822807656215556915200, 73149641373219421770, -6385639440370067726592, 9916271000324712698304, 2142113082655290163200, 0, 3684982414324662124544, 823015549195503188400, -333681971583818661888, 3331073713337919468714, 1356723806010034936320, -14572242090514286215636, 0, 4856318851275108720000, -7809433694181662269440, -3470286006436845046080, 90508741624568217600, -1003961893968636731600, 2240405650564276590080, 0, -2676538056299568168960, 1801777212380626619154, 2633961095749515225600, -5076860195535947334776, 3585448949671824195584, 4533790839395645520000, 0, 17349537780799581698136, -4336400976839530905600, -10532633043978389013964, -28935588581037573120, -898781362308345257100, -1332340269424171810816, 0, 7971949130176115481600, 3936587159322906354000, -7441036900501998796800, -3447921971941566346800, -6643120292130977572608, -19617131175667556972472, 0, -17136858890597646431266, 2108736623602534731520, 4152404834545946471100, 6089002134871626809344, 2289366866381674896180, 8183556240103692960768, 0, 2173063231848094629888, 3087268853627150298900, -765553110237244243200, -18384139531132001214000, 833711093256919449600, -30105122658194343318304, 0, -13153077887545477602000, 4549022054083008135168, -14434033360211275091178, 1835347563565557350400, -15294213515074647427162, 411727130202876149760, 0, -754146873723359846400, 6518225043652553453256, 1246628822757094195200, 7935224076288261779040, -6614624566470115717888, 7560120741947907327900, 0, 34642742811474829807104, -109183428264137472000, -7334728302298895296448, -1680956882468546281472, -3482681338980207331218, 35033797837876508160000, 0, 6255799916144659660800, 6555801033246298768342, -10740331289558541743104, -8119955898879336963000, -1525793352906430218240, -23895116602641715580244, 0, -25381773097519942327352, 619815110765566230528, 1378748393933814162000, 9337954475317778373120, -16338623806145375857572, -4926676030495653888000, 0, 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3979071730922897276928, 30736843764843258693500, 0, -8262154099035481570200, -3389238462765862748160, 3841081767166939825812, 4504081508448293376000, -21291186505486952804400, 6764170186416847847424, 0, -2782544744512922124288, -23078405418481678907928, 5463698691976770355200, -21420247637714960530912, -19852843722514353760000, 10777053849807357106200, 0, -81156871388647573104204, -6489914531437062146304, -9398556844699596164640, -6710213393648079077376, 737886216909193833600, -2550500395487669167104, 0, -962565255513243648000, 14434170816143465088207, 16869244863740483768320, 27171564913473020403588, -1630119172051086376960, -38926162893675312529680, 0, -29204217039946360549136, 1551331022384566108160, 2183810383168393005000, -2884720823395739704320, -9788673380951759327934, -22843501778709002649600, 0, 24277535345653323175936, 4896746091059745780000, -10717293987673422168064, 4806773771086407039510, -7397796964128877670400, 818964202945909668480, 0, 20080900248768020076804, -1253464795519504233984, -5401586838214328383668, 2852860696573929062400, 25013242918716426034920, -498383016214596424704, 0, -32146933677974015180800, 3275185681700318366400, -9113649624061860003840, 26683193155688011407760, 3265276491810121711616, 17773298862231735151200, 0, -50505980642658960709920, -61683564110576025600, 23239573398449108642036, 2942759890778027316736, 31568042110405987233000, 18517377828714971136000], 'weight': 16, '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], [0.3535533905932738, -0.6123724356957945], [0.17819452752766227, 0.30864197530864196], [-0.25, -0.4330127018922193], [-0.23200725792785018, 0.4018483584557737], [0.2520051175702858, 0.0], [0.0, 0.0], [-0.3535533905932738, 0.0], [0.4364934207183864, -0.756028781853783], [0.16405390536527925, 0.28414969927276007], [-0.5424679772970834, -0.9395820981576688], [0.08909726376383113, -0.15432098765432098], [-0.6694994099744823, 0.0], [0.0, 0.0], [-0.16536969483776695, 0.0], [-0.125, 0.21650635094610965], [-0.0738108104071215, -0.12784407377296808], [-0.3086474577332837, -0.534593078421015], [-0.8311554856040733, 1.4396035300558374], [0.23200725792785018, 0.0], [0.0, 0.0], [-0.7671655706466356, 0.0], [0.6469849972811206, -1.1206108870257128], [-0.06300127939257145, -0.10912141684977585], [0.3923452645376, 0.6795619322881749], [-0.23670378639667447, 0.40998298438297104], [0.6675120105507084, 0.0], [0.0, 0.0], [0.08391148459347994, 0.0], [-0.05846701631126751, 0.1012678428180736], [-0.3101897294532745, -0.5372643713991156], [0.08838834764831845, 0.15309310892394862], [0.1933296498266808, -0.33485677610931075], [-0.10438424912750041, 0.0], [0.0, 0.0], [-0.4364934207183864, 0.0], [0.7533857570686612, -1.3049024089416645], [0.587715680091038, 1.0179534183225745], [-0.11930113104045154, -0.20663562036249455], [0.08202695268263963, -0.14207484963638004], [-0.8080494946697863, 0.0], [0.0, 0.0], [0.08696400532848046, 0.0], [-0.2712339886485417, 0.4697910490788344], [0.2025392832888406, 0.350808329184858], [-0.45748747890344044, -0.7923915572873537], [-0.3673767412204248, 0.6363151813128592], [-0.08909726376383113, 0.0], [0.0, 0.0], [0.5548599942419337, 0.0], [0.026305364973861746, -0.04556222864637129], [0.16737485249362058, 0.28990174842829725], [-0.23664834506220112, -0.40988695717482376], [0.2360011345919361, -0.40876595575713426], [0.5034260317054544, 0.0], [0.0, 0.0], [-0.5924294362369701, 0.0], [0.029667189887740083, -0.05138508020335945], [-0.3295524682083844, -0.5708016186966489], [0.04134242370944174, 0.07160717837279326], [-0.8132826495688738, 1.408646869967524], [-0.4386745223016619, 0.0], [0.0, 0.0], [0.125, 0.0], [0.15532872229249323, -0.26903723888535475], [-0.13670470639686663, -0.23677949711315913], [0.488053772673948, 0.8453339310969489], [-0.03690540520356075, 0.06392203688648404], [0.4611567436319806, 0.0], [0.0, 0.0], [0.49184046568654777, 0.0], [-0.15432372886664186, 0.2672965392105075], [0.7491136314344207, 1.2975028702868425], [-0.5327241776726113, -0.9227053421493124], [-0.1398275580839866, 0.24218843489975309], [0.8311554856040733, 0.0], [0.0, 0.0], [-0.1687172775238564, 0.0], [-0.7236021574373751, 1.2533157011479874], [-0.058001814481962545, -0.10046208961394343], [-0.317546433379263, -0.5500065563751692], [-0.28568863860768445, 0.494827237213693], [-0.011280544392009442, 0.0], [0.0, 0.0], [0.06849857491195474, 0.0], [0.030746418943455794, -0.05325435976086364], [0.014952567351279868, 0.025898606356012325], [0.1917913926616589, 0.33219243654438596], [-0.00699730230797738, 0.01211968311333579], [0.28643380134040475, 0.0], [0.0, 0.0], [-0.6469849972811206, 0.0], [0.11054822456771927, -0.19147514163782375], [0.2597745849671778, 0.44994277967827023], [-0.38566821025338355, -0.6679969350230166], [-0.03150063969628573, 0.05456070842488792], [-0.34938094362776356, 0.0], [0.0, 0.0], [-0.9471348121623517, 0.0], [0.1961726322688, -0.3397809661440874]], 'angles': [None, -0.05482051730618346, -0.4539313229711132, None, -0.4920783241288996, -0.30432588432590724, -0.09509138156754136, 0.23949338307759985, -0.30468147941791524, -0.243320575629825, -0.13352962454647113, -0.2808763333529015, -0.31619452005249504, -0.24307744177510013, -0.47653868003592886, -0.12135779725573968, -0.13678226220201153, 0.2344941844119888, -0.002186828399906318, -0.2104549357190131, 0.05142682261253195, 0.2120907991439961, -0.25089768196003087, -0.41778033100533235, -0.27794623885846553, -0.07157141773412311, 0.20340257434660405, 0.1965677124685729, -0.04966181394666231, -0.31359036838194637, -0.26250085570058945, -0.28444164732145205, 0.044329648009751005, -0.03510311400334031, -0.39569720127031066, -0.04585668664612404, -0.010402337383450172, 0.17572058000774865, -0.33679047147380975, -0.26845166475897125, -0.006812704169501633, -0.20750818296908538, -0.4913737210941105, 0.08343786281747588, -0.45187640633793646, 0.09253360262070162, -0.37054367742229677, -0.24851929476092785, 0.055130345540472296, -0.47976700560092056, 0.1902321968758991, -0.20194468775906943, -0.09414258576409727, -0.3381970253607009, 0.18280697035748134, -0.1096629617379014, -0.11251828557098613, -0.3316903653636328, -0.05778402943168817, -0.13460088485178817, -0.1607619098340067, -0.4483121304346555, -0.25846129298990755, -0.4456803925992389, -0.4641339957745217, -0.3600178140060399, -0.3484543572973296, -0.1732048810087553, -0.13667106482433156, -0.3970147435885349, -0.032961759746244754, -0.2808892537705017, 0.06379178843797093, 0.1839801158365624, -0.37206666863754817, 0.1708632139601901, 0.04276942340280587, -0.25075079308729253, -0.28238827497757124, -0.06530810151956952, -0.3444358744652502, -0.22260741119943628, -0.08742098920892144, -0.3216464901529603, -0.3067074606549169, 0.16991824810377937, -0.35250299967002857, -0.3462856393845644, -0.1371346969663068, -0.238977775071717, -0.41248083470468616, -0.08959617313481247, -0.029686654374002145, -0.25511276481919615, -0.4273057545477084, -0.16760012730364138, 0.1868458073311644, -0.4191340672392583, -0.3825255472311187, -0.3288066223354555], 'char_orbit_index': 3, 'conrey_index': 79, 'dual_conrey_index': 67, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 2, 'embedding_root_imag': -0.8660254037844386, 'embedding_root_real': 0.5, 'hecke_orbit': 3, 'hecke_orbit_code': 9007336962130018, 'label': '98.16.c.c.79.1', 'level': 98, 'weight': 16}
• 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': 25088, 'analytic_conductor': 139.839634997922, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [98, 3, [3], [2]], 'conrey_index': 67, 'cusp_dim': 404, 'dim': 100, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 137707389026, 'hecke_orbit_dims': [2, 2, 2, 2, 4, 4, 4, 4, 6, 6, 8, 8, 10, 10, 12, 16], 'label': '98.16.c', 'level': 98, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 436, 'mf_new_dim': 100, 'num_forms': 16, 'prim_orbit_index': 3, 'relative_dim': 50, 'sturm_bound': 224, 'trace_bound': 3, 'trace_display': [0, -4374, -311922, 0], 'traces': [100, 0, -4374, -819200, -311922, -106496, 0, 0, -208425840, -37117952, -74350118, -71663616, 403194072, 0, 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• mf_twists_cc •

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

  
  
  • id: 40708799
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007336962130018, 'source_is_minimal': False, 'source_label': '98.16.c.c.79.1', 'source_level': 98, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007336962130018, 'target_is_minimal': False, 'target_label': '98.16.c.c.79.1', 'target_level': 98, 'twist_class_label': '14.16.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 16}
  • id: 40708800
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007336962130018, 'source_is_minimal': False, 'source_label': '98.16.c.c.79.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599895806050, 'target_is_minimal': False, 'target_label': '98.16.a.b.1.1', 'target_level': 98, 'twist_class_label': '14.16.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 16}
  • id: 40708801
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007336962130018, 'source_is_minimal': False, 'source_label': '98.16.c.c.79.1', 'source_level': 98, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737334759522, 'target_is_minimal': False, 'target_label': '98.16.c.b.67.1', 'target_level': 98, 'twist_class_label': '14.16.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 16}
  • id: 40708802
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007336962130018, 'source_is_minimal': False, 'source_label': '98.16.c.c.79.1', 'source_level': 98, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007336962130018, 'target_is_minimal': False, 'target_label': '98.16.c.c.67.1', 'target_level': 98, 'twist_class_label': '14.16.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 16}
  • id: 40708803
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007336962130018, 'source_is_minimal': False, 'source_label': '98.16.c.c.79.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 268435470, 'target_is_minimal': True, 'target_label': '14.16.a.a.1.1', 'target_level': 14, 'twist_class_label': '14.16.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 16}
  • id: 40708804
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007336962130018, 'source_is_minimal': False, 'source_label': '98.16.c.c.79.1', 'source_level': 98, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737334759522, 'target_is_minimal': False, 'target_label': '98.16.c.b.79.1', 'target_level': 98, 'twist_class_label': '14.16.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 16}
  • id: 40708805
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007336962130018, 'source_is_minimal': False, 'source_label': '98.16.c.c.79.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398777917566, 'target_is_minimal': False, 'target_label': '126.16.a.e.1.1', 'target_level': 126, 'twist_class_label': '14.16.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 16}
  • id: 40708806
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007336962130018, 'source_is_minimal': False, 'source_label': '98.16.c.c.79.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 268435568, 'target_is_minimal': False, 'target_label': '112.16.a.a.1.1', 'target_level': 112, 'twist_class_label': '14.16.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 16}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 293500
    {'charpoly_factorization': [[[16384, -128, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 2}
  • id: 293501
    {'charpoly_factorization': [[[1822500, -1350, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 3}
  • id: 293502
    {'charpoly_factorization': [[[6570723600, 81060, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 5}
  • id: 293503
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007336962130018, 'p': 7}
  • id: 293504
    {'charpoly_factorization': [[[4916980445561856, 70121184, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 11}
  • id: 293505
    {'charpoly_factorization': [[[151469552, 1], 2]], 'hecke_orbit_code': 9007336962130018, 'p': 13}
  • id: 293506
    {'charpoly_factorization': [[[62378332269850116, 249756546, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 17}
  • id: 293507
    {'charpoly_factorization': [[[41949670769277902500, 6476856550, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 19}
  • id: 293508
    {'charpoly_factorization': [[[446442932058094440000, -21129196200, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 23}
  • id: 293509
    {'charpoly_factorization': [[[-7794825354, 1], 2]], 'hecke_orbit_code': 9007336962130018, 'p': 29}
  • id: 293510
    {'charpoly_factorization': [[[9031091175701220841744, 95032053412, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 31}
  • id: 293511
    {'charpoly_factorization': [[[757043200890344382520900, -870082295470, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 37}
  • id: 293512
    {'charpoly_factorization': [[[1007666657262, 1], 2]], 'hecke_orbit_code': 9007336962130018, 'p': 41}
  • id: 293513
    {'charpoly_factorization': [[[-155007585272, 1], 2]], 'hecke_orbit_code': 9007336962130018, 'p': 43}
  • id: 293514
    {'charpoly_factorization': [[[6512551569952333986080016, 2551970135004, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 47}
  • id: 293515
    {'charpoly_factorization': [[[16383435613755457493075076, 4047645687774, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 53}
  • id: 293516
    {'charpoly_factorization': [[[158741069979132420062835204, 12599248786302, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 59}
  • id: 293517
    {'charpoly_factorization': [[[1594008125746794219879985936, 39925031318044, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 61}
  • id: 293518
    {'charpoly_factorization': [[[2344862494777622325625743376, -48423780261124, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 67}
  • id: 293519
    {'charpoly_factorization': [[[-37693101366144, 1], 2]], 'hecke_orbit_code': 9007336962130018, 'p': 71}
  • id: 293520
    {'charpoly_factorization': [[[19998540087877973752555381636, -141416194574306, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 73}
  • id: 293521
    {'charpoly_factorization': [[[61019137801597211799548344384, 247020521013128, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 79}
  • id: 293522
    {'charpoly_factorization': [[[2788789610034, 1], 2]], 'hecke_orbit_code': 9007336962130018, 'p': 83}
  • id: 293523
    {'charpoly_factorization': [[[34101333792786162001832100, 5839634731110, 1], 1]], 'hecke_orbit_code': 9007336962130018, 'p': 89}
  • id: 293524
    {'charpoly_factorization': [[[278027158065374, 1], 2]], 'hecke_orbit_code': 9007336962130018, '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': 3, 'label': '98.16.c.c', 'level': 98, 'portrait': 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GU1ZGYZTi7BO++a52/94Ap/8sgoU6OawztcomCM50+7NDsRQQBNv82+rR7LjTF27xhN77hp/6fHRsY+EgRB69CNP/R6Q+LPdPylBrgxy3QaZSwn/OWZ2fN3fuoLX5KvnOvcWRBz+s03CR5/uUYrbPLBNws8b4wL8xaXr0ScW4hZace0I8OlNcH2DQ3+5U+uc/PuIpeXxllYLrKwarG4ZlhcjZlbSVhux9RGfe463OG2/WDLAo5yWFp3ubKqWVwXdAOI4xTXTim5CSPVmBSYXYxpdWDblEWpEGCMAGHT8VK2TgesNTSYjIo0OhDEYDCsN0M2TVq0PYVQBpEGVFyLrRt8Gl3B7IImSTVjFUnZFTgWxLGgG0gW1yVX1gxL9RjH8cGKuf1ghzuvEUxUCqzVK1xeclhYhaXVmMX1mPl1OLdmuPnACv/yJ9fYPukyv1zCCwqsNsqcveRy6UrKxSsxXtLhg29t02qN8ujLCW+4ts2+naPx5eXqk7fc8b5069Y9T7pa/pN1P2HL1MjrDZXvevyl5eBff+CP2L3nVn7+F//Wv7507ut//+OffnR3o7W2XeNLUoe5esqejUWOX5Rs3NDg8I4YkzokqYWtwZagUknJkiysFzhyTnN4V50DW32KjkBriW0pbFtTKkiKlqTbsTg94/LNF2xmlwNaccTpywFTY+u86646h3e3uWl/k5nVmNWuoOj4XFgwNFslDu2UNPyEkzOKclFzfBb2bDT4YYKf2GgdMVKGU5cdlE6wZIy2wAskt+zv4nUlh3cntLyE2YUyO6YVpWJIIzBM1rrUOy0+/TC8dDHh6EWfbRvXuHZfi5HRkPtvb/Mj9xh2TZdJohoX56ucn7O4vJgytxwxt5xwfllwuRFx/d4V/uWHW2wcrTK3NMZ6o8r8cpmZBYe55ZTZKyHnlkL27uhw484Sz58qcsO+VbQcYWHJl+2uv31taWbHS2eDW3fs2FTYMj3+0Be+9EU++Yk/fL0h85rHX8oI/rnPfh4v2q9GS0d+8diZ5Z9fXT2jKq7kpQuaN99Qx7ZDioUQV27ijx92ODpX55/8eJPNo2OcvVRhflmxXE9Yb0SstxNWWzDXENhFnzsPrfOBN4TsmCzR6FRYXi+wsm6z2hSsN1PWmin1dkrLS2kFhq4fM1aJ2DqVAgLHMswtWwjpsG1SsWOjYeNkl6V6wMtny9y4x1As1Hnl3CjlUkgYWoyNpHg+HNjq84mHa+zbEhMEhvGqJEo8yq7D8RmfglXi+r0xRy+ELK3ZbBpz2LEBtk6HKBUxtwq2ZRDCsG0qZqQsaXsOna5Fq2ux3lKsN2CtmbLeTFhtJiw2Yc1P2Lqpw4++cZU79muKdoXFtTKrDZe1hma1IVmuJ1xZjTizkDAx3eYXPtTl+JnN/PGjBqe0iG27uNriTYfhxTOajdOGXdv3JpHc+q/f94a9/+KJVy4nb3rru19v6HzH8ZcK4GtLR3Ect9BYn9n6J1+/8IFOc+5f2eYSD79sc+s1AQVV4chJwemFmPFRj/fcobkwU+ILz0b8y4/Mcv32EucvjzO/4rKyLjOwtmIa7Zh627DYFCx2DEZ0eO/dTe6/JWXnBpcwLFJvujQ6Ns22ot4RtLsCPzCEsSFJQEmDY0HBMdQqhsnRCG35nL8ScuycQxqXeNutIdpq8PzJKts3wNeOxNx9yGG56eFqRZxEjI5AHFloK2ZtrchdN7T42lNldmyA584GWBS575aUWHgcO59wcc5FS5upEc1ISVBwBLYtUALiNKve+iG0u4ZGJ6XdTWl0U9Y6Bi9J2La5y/23NXnvnSGkZdYaVVbqBdaaFustzXqT7GGoh1xZTzm9aDi0d51//WHNV56Y4vRCh3ff3WSy6nLuUpkjJwR2scXt+wRfO+Jy6+Fptm/e+E895+Af7du1+ZLved6dNx58vaHUP/7S5MEbK2eojm6yFy69/BPnzs/+2vmZV0SrE1O2SkQhPPKyx9/7wDqj1TG2XXS5tGzx8mlQGBKTYumQakkwVi0RJxIpbLSWOLaF60gKTkzJTRnrwHK7zGcfLvLNF7q85aY2t+9fY9uUYlvNotV22WdJQBHGkjQVpAa6PiBSRso+Z+cNzSDkG0+UCLpVdm+yueNwlyht8MgLNa7fozm72GHTaIXJsS5HLxaYGjWcnNX8jz/U4uSMYmpUc+JiwsJShW0bWpy7PMq91xoePdbiS08Uuf1glXsO+9xyoMPXnw/oxIKjxzWVokYL6HqS1AiS1BDFgEzRdkqzYyiVI/buDbjzQJe33BgzVnJZWh9jrelSbzrU25p6S9Bsm/zhj1lrpqy2BKueIUlClIKim3LjLotGfZJjpzQnZxIWGm3+7gfbpNEG9m8xhO0Zzpxb+RfumPu/Vlzrbx3au+9jz7xwJrztxr2vN6SAvyQAD8JAdrveu/7gk3+yu1wMf/W5F59UjZbF9o0wWrBodeDobIknTq7yrlsX2TI5wlrTQQhBSpMzKy0UPuWiYaTSJUklAoOlLVxb4zqakqsoF2MqxYSxcsrGqmClU+Yrj5f5wiMB1+7xmB5N6HR93n5bwPbplDiRaGkIY3jsuMulZZcNIymvnHchHWX/ZsUN16c4bpsnTnRZWa1yzfYisahzZdni5j0wsxgxXnKZGAVnUdP1HZbWNZa22L6xyYmLo9xwwOHiQotLCzXeeVvCcnONIydqHJ8pcdO+Aj/2Rh9kh5cvpkyOdlhaiXj0ZQs/UmgJOjVs3xDylttC2h3FxpGUG/ZAGJZYbxZ55YpDo2PR6iqaHUmrA61OQqsT0+wmNDqGtTYsdSXtIEKIgIvLXb750hgmdJEiZa0TUvd87r+jRa1Q5ticxflLEbWqZPNkV5479W1qhfj/OBOdK951zzvPxUn4Za3s9PXG1usO8LW1Du2m/xMLl5/6D6fPnhiN43UW1i2SNGZuJeCaGyO6XpWldc1nHxplcb3OrfuW2T6piBOYHm9y076Yh55X3LDHY/NkHSUNWiU4tkvBSSm5mlZBUvYsqiVN10/oeAlTQYoXGNq+w/qKy9xlQxinzC/GOI4BBLYyaCnoegqBRdzVXLddsGujYeumLkHS5oFnFafOjfDWGx1uOFDn4w8YbFFk+6YuR59SbKopxitdXFUgjCyW21ByNZunBC+dCrlhb4F7rl/l977iYVtlfuBWg+V0+daRkK89U+LExQI7NxbZviFhYiRkx3jEoe0JSqVoZQBD0XGYqDmEkUW7a/PKWYuOr+l6io4v6XjQ8Q2dbvbd215Cu5vS8gzrXcliR7BYj9lQa3LfzW1ePK85udBkuuaTJLB1k8cP7Q+499oC5y9XOXMJ5usBB/d1KLouOyzF6RNHrHDr+H/wn5hev++e2/6eSf3fE9L97xfg9XYLQfrXH3z4mV8Olx4aXVrp4JYEG2o2MwuCZ84botiwdyNsHJO0upqvPT7Ooy93GauERFGKo0eYqysuLwnaQZ333t3lroMR5WKFtUaZUsGlUrRod7N0XMeXeL6mG2j8wOCHKWFkiCJDnGRnGNuYFKQSWFrg2oJaWTBShunxlM1TXcZHmjz4PDz2ooVMq7z1Rovr9rd54kRE6Fe44zpB0/NYXitx+96U8VqXgnbwY8VKK0Klguv2aorlgBdOu7zhhiq3XdvmhdMKTJUbD9r8tXeu89BLId98tsTJSy5bJxTTowVGykWqZSg4YGmDkpAaOHlRkCSCKBaEMQQR2XcMErwgxQ9Sun5KJ0jpeNDyYaWjWO6An/jcd9MKP3hXk7/yloRLS5LbDyyiLIUfaCbKiopbZmZ+lIUVGwi4/44OtxxQnJopcmVd4lgey0uLPP3Kg6O7p7x/u+eae3QUNX7Hsmr//QHcJA2Q6q+dP/XAL3/tG09Nbhlf5803ac4tOGydkNiyiKsd2i3DSkHhupJN4wm2NizUS1y8VMKPDFEiSQVIBf/1W2W+9WKLuw83+fEfaHJ4R5exWonVRpGO59DxrBzYKjtDQRBJolgQx5Ckhp5aVEmD1uDaUCykjJYjNk12ielwdj7i04+6XLhcouYUuPmg5vbDLY6cafKNpyvcusdl64Yun3hYoIRDpRzR6ASkBpSAiUqXVtsmjQu86+5lPvW1IruWXO6/tUsYrfHosTGixOWWg5Pcf3OLPVuafOuFLkcvF3n5os3mUcloRVB0BLaVPYRSgBCG1ECaZoEhTgxhZAii7EEOQuiG0PIFjUCw1gahfW7Y1+CvvqXO3dfETNZs/KDMREUxWRXEicQPbNaaRc7MFllat+n6gvGapuKMcvS0xaUrgvNzIZumbM5dEezctMyLL3x98vmz8pd/4O43mktzjd/duvn1AflfOMC/+Ce/z313xCxd/MKHnzga/eqF88fH7STk2FmLMGpzy/4Wm8cdqqUyGydsmh1Jkgj80JCmNlpFFN2Uac/gBeBHKUEi8GNBO7RZaYzxR9+u8MyxNndc1+THf6DB9buajCUF4tih67t0PAsv0ISRIoolcSJJUkFqBAKDFAbHTim6MY4dYlsB82sBX3lOcm7O5uLcCCp12LXB5sAOxY37WyhnhWPny2yqFblmJ0xP1FlvVTi0SRKnhgefdQi6klop5r5bfL78aMSlxTL7dltcafgcv2CxZWqEa3es8MTRNk8dFwShzf4do+zf4rB/c5vzV9Y5Nw/Pnipy9kKJohY4WlJyDK4FUmZpMWOyhzVOIIwhTASdQNDyBa0IojQmMT4372nxobe0eMOhhA1jFkFYpt5y6foWYZRdnyDUdH1Ny9M02op6S9LuZg/LS6ct2t2UK2sJ842URuxx64GQvZtLXJ6PiPj65OPiyq8enZuM/8F/fPDjN03P86Ef+6m/ULz9haYJ//Azn6MYHiG0r/0xv33x/3/uwlyt4NY5sM3l+ZM1njkZ0k587r2hwYd+ABrNURbXijQ7mmZH0WhDs5PSznmkF6T4YRahwgj8SOBFgk4oqPvQTRPGqz5TIx0+8MYW+7fE+J7mmh2GqRFFEFkkiSJJJaYHbpli6YTZJcPFRUHDS/niE0XmV4uY0GLEVWwc02yb1uzcBNfsapPKVX7nq0XWlmvcut/hLbc1eeR4i4efHuXe6wpcs7fJxx6MkWGND98fE8k1fv+rVa7dVubem5s8+GKbJ18Y5603ZunQK81VPvY1BxmXOLjNYsdGix0bEzZOdKlW2oSJx8J6xBefcFjrOsxesZhftLGUQEqJQJAaQ5JClBqSOGVkLOLwji5BELN/i8f77gmYrGpGKzZx7NLqOni+jR9q/FAR5KcXSrq+ot0VtLrQzDenrW5Kq2tYaMCqF/Gh+1a597DG90Z55hWXF8557N/uU7DKlKqbGgf3bPgfjrx88g/feNsNvONdP/YXhrm/sAj+e5/4JCuNbWLjaOf9J87O//YLxxeK1++SzC2NEdPgun0eSVrixTOKLz+uOb9Y5/13L3NgW5krqxVWGy62pbEthWNJXEfi+Ql+kBJEhiBKCSIIopRqBCMFQTeUtMMSF+eK/Js/HIM0RsQxNx7usmM6JI4hNSnGZEUcKQRSCbRlc/qSzclzLiVXU7Yl40XBxJhkclSzcUKxbUPCvm0NErHG//75CrOXaty612L/9gQvbvP0MYdawWKsaqiVQ4qFjAqlqaTpK9Y7hrVmQrNT4K5rGjx3ssupS4paxeWWgzX+xrvW+C9fgBfOleh4hkZbs7ReYXq8yOSIz7Yxn3/w/i6VYpOjF+H0ZYllGZQyCJECJvu/gTiG7dMJdxyKSSKLKLYxpogf2iyt2XiBxg8s/FDmwJb4kcQPJF4g6PqCjpfS7sY0OwmNdsJaCy43YM/OFh+5p8l124pcWZ7g+ZMWL17w2bcrZHOtzHI9YnPtVM3rJL994+Fr4vvfefNnHnnok+aNP/BX/tsB+H/8jU/RDmsq8E+898LM7MeFf9rdNFrj7HzEhprmW8+WmRptct1emzi2kBcNj78wwelLDX7+Qw0Ob4+xdA1Lu1g6B3lX4TkSL0gJwzQDeJhlQcI8oodxShBDGAv8SBIkDlHicupciZdPQWIMGbQzbmxJsFWm+Sg7cM0GqBSgWpKMlBVjNc3kKGydDtgw0SAy6/zvn69y/kKVG3Yqdm6W7Npc59vHY5bWqty4QzJSSXFtD0c6GJVxWmEMcRJS77gsrVncsL/AdXvbPPGCy9SIoOiWuWFvys++d43//IWU4/NlGp2URluxUteM10qMVAqMVKpUihETpYhtN4Q4VoylY5RKkCLbTBiyhyqKFMsrmihWRLHK6EekCCOZ/ywJQ4kfCYIwO/1Q4AUGz4+zzEs3odFJWWnBpbrg4N41fu5DdTZURzl2bpJXzmmOng8ZrXW47wbBS6cj9mwNWG04XDp3rnjDNeLjRx57LL1mz/Tnjz37B8nhW378+x/g33zgk0yPOerFM4vvO39h4feSzpy7uFalXA6pFSRhqChYmpV6wIFDbbZtGKPrWyRpyEuXRviVT6T8sw832LtZIIRBShdLGxwry4i4gSQIDUHYA3ZCFGebrCgyRIkhSiBODEmSkqRkfDulD24hQEnQEiwLHC1wHUHRkZSKimpRMlIVTI7GbJvuUi41+PyTIY8eG6WxWuHwVsW2DRZ7tvgkosGDzxYpWZqJEUW56HPsPFnH/RZDN1Bcuyfi8C7D4pWElbqN5xd5281tHj/qcXZeUSpIHLvCoZ0p/+LDazxy3OPLj4yz1jJsm0yoNzW1iqJasigXLUoFg+ukOHaKoxO0yqiWzDtujSErWKWCOJXEiSCOBVGcrSphJAljQRhBEIlsYxpCECb4YZKnVTNKstaGy03Brh11/umPrbF5ZJRj58Y5P2cxuxhxpR5x184APxjDsVLaXQvHibhxj83M7Hl3ejT+/aW69ZNLjanP/uGnP5f82I/+yPc3wDdPRtLzux+sr1/+9ZWly+6bbwgJoyLn5x3W24ItUxZKBhw9n/L2WztsmSrT7Lp4QYoXxLwwM8LvfM3jl/5ag8nR7I4p6fRB3rVlFnEilUXtSPYzCNlrSpJk5fY0NSQmz5Tk2RIhBFKCkgKtBbYWOHZGgUoFQaVoqJVTpkYDJkbaxKbBZx6XfOxrY0y6Loe3CrZusNi+MWXbhjqff9qwvu6yf1oxUoFyMWJpRrJcd7B3ZACaqEpqNTh70VBvpSyuuuzZ7vKmG9t85TGXsTI4to2SNQ7tEvzN+5ex5DJfemKEE/MuU62IyVpMtaQoFxTFgqTgaBwbHAu0NhnIBUgxBHKyBztJIUkEcUIO9Kz1L4whipI8UKQEYXZ2/ZS2D82uYaGlSLTH33znKgc2l3jpzChzSzbzywnzKzHroeG6PS3OXh5ncdVlx6YuK/UyzxxPSYxhpHLR1QX5251E6hT7k2Rx5vsT4L//qa/yzKnkw/NzL/z79dXZyq7pEo+8AE6hy7W7BHeMK8oFw5VGi1dmu5SKsHOzgxeO02prGu2ETWOKp46PcPLyZW7d1yaMJALQKsXWGsfOOGMWefKolGS8M04McdoDdwbw4a5xITKAKyXQSmDpDCCuk5Wpy4WYWjlmouYxPtLgyVMhv/+NAqcv1thetdg1DZunbTZPwb6tLbpxiyMnKxSUxcSIolaGWjlgpBpj2xohsofLC2zWWxGNrqHZiVmu22ydLnPb/mW+8WyX0/MVik6EpWyEqLJrk+Kv/sAqN+1b5ve/UebIKzXWOprJSkytGFN0JQVX4VgCx5JYlkAriVLk6cMM5QYwxuTXApIE4jTt5//j2BDH6RDNMxlFCQ1tH9a6khXfcNc1de46kDK3XGOl7rC0BjNXEs4tGTqmy4WFkGNn61xeGeHoJc2WyQ43HAgp2kVm58pY9vnKzu3R/37dNbfab3/mKx+74bZ3fv8B/MpyCynUX3/u6T/65a99c26sUjTcfjCl69V48azPpUWP8bGURMByvcC5hTLnFzzuva7L5hHNpslRFlYUI4WYmdUCv/dAgZv3dKmWs4+sVIptpbj2MJeURInIwS2JU0gTQWKyyNUHd1akzCM3aJUVTGzL4NopBTem7MaMVAI2jLdYanb5tS9aPPjcKOv1ErsnBFsnBZsmbTZPCnZs9NF2g089qrlwucTeKclIWVItJUgZML9icLRECjBGEEaabZMtniWh1VXUW4al9QJ7N7v88BubfPZbNjNLDpaOEMIiNSWiWHLjjjrb/kqLB1/o8okHR3l+psSmEcF4KaHkJri2wLEEtiWxtEArso2zFP10mSF7yHr58iTNAD8M8ijOonkYG7wQuqGgHQiWfYmrO/z1d9SpFotcWrBpdRXzqyndpMsd17e497ouN+6xuXZHl4V1g0GxeVRgyQovnSpw9HzI2+8IMMHs2PEL+3/1xz/4w8rE7d8Ruvz9A/Bmo4nS+qdfefnbv7xw6YXJbig4Nw8bxuvccbhGrVTg7GWb+SsxLS/L19YkvHy8yIXZgGu3w55NBssSxIkgFYKjFywM65QKFmkqUcpgWwmurQmifOMUS+JYkCQZz+xz7VTQZyUmi9xSgFJZ1sHKHxbHTig4MeVCwHitgxd5fOuY4dPfrnLklRojtsWhTYYNo5KpMZuNE5LNUyE7N9U5OuPxxccnqCrNRFVQKQkqxYhmN+FrT7uUbYMQGbC8QPOuOwK++kxKs2todlKW65rNk2V+6M4OR061OXnWpuTEKCkykKdF/DDj+n/1TU32bljmU4+0eOpEjUv1AtMVQdU1FO0UV6fYFmglUDJ7kLNIDr3McJpTtYyyZCnFON+rRAlEMQSxwI+gE0nqoaAZJkwXOly7IyA1JbTKKGG5CD94TczhXZJaYYxO12G6CmMlQbtjMb9ice4SvDIbceM1q9y4P+XivOT5Y8cnpyY3/fKb7rkrbbfaHy1Xvvcg/54CfGW1SdHqYtnyJ774zSf/3emTXx8bsz22T5bwOxZffTrlml1L3HPjOBMjZRbXbZptg+eneS5b4kcaEwu8QLNjY0SiO8wuR2gipB3hOh6pAa1ibMsmjKy8YKOygk3vTAVJKklzZBuT3VghTL6pzHQcWqfYVoJjRxSckHLBI8HjoRckf/hwjVcuVhGRw/YRw4aaYbymmBi1mR6XbJyI2Drd4vJKm9/4cok4KLB5s6BW1lRKUClGCCuk5ZWolQ1CCIyBKJaMOoo4jWlHNu1uQr2lmF8pcHBnmY+8u8GvftJhdqWEVlH+YGji2MUPJdNjDjfubnF4Z4fjs/N8+tsFvvF8jYVmgZKjKNtQsgy2NlgKtMzK+UIwFMmzI00hMeTXC+I04+ZhXjzrxoJWJPDimCT0MFaIEQk+TV48O8LFhRIFWyDTUWbm6NPFIBR0/ezhXVlPeOVSwobpOu+4PWatPsXlJYv5hQZPPP2lyU0T4b+b3nJXfPrcwn/dsbmI7X7vqp7fU4D7fhcovOeVF5/7L48/9lDl5fM+b73F545DsHG0xLdeLPOtl0L+xx9a4Mb9E1xaLLPWzERBfiCIE4Mg48C1ctbu9UNvXuG99zT4r1+3WVgRjG7vUinHuHZIGNqEsUUUa6JY5+DOCjdpDm5jRL/8nkXuFKUMWqVoHePYMZYKaXkRK62I//R5l4vLI7xwsoZJbcYKgslxw3hVMFZRjNUspsYk02Mxmya6jNXqPPhiyvMnahzeLBgpS8pFSaWYUiqECCvAcTRaZe9vDCSJxAs0nh8Rp4K2l9LuGNZbFotrFW7f1+G2gw0+9U2XwrpCyygDo9HEiU0YSbzAYrzmctOuDjft7vDsPQvMrkh+/xs1lhtF5tYcbCUpWQK7R8NktvHsB/IeVSEDeJxClAqiFPwEvBjCJEEmETIKsFSXDZMBL59TfOyBImdmNTtHQ7aMC5odhWNnKs44yTanHT+l3kq5uArtuMuPXh+wXp/gW886zCx32TgVcGiLx2OPPTx24y3Of7nhhhvrnud98XuJye8ZwL/12Fk2b5pWn/z0x3efOnemsnX8CltGSzz+co1HkjZ7t7apuC6PPTdCSszP/tAVrtlVZb1Vptl26PqKOBEIAbaVUi2FTI502DoVonXE7JUi7/4Hk/zUu7psmYjZvjHktkMeCk2poAF1FbiNyfTSvUNgENKgREIQGQwxyJjjFyXPndJ85UiZ45fKhHGRslZMFAyjJcNI0WR58IpmtKoZqwmmR2M2TnhsmKjz6CsBv/WVSTbUNBMVqJQUlZKgXIwpOAFPnlH4ocYqZaAyRhDGElcrrt/r8cyxWiZ88hIaLYvVhsPS6ggfuX+JudU1nnlpAksCIiIF4lgTRhZBKOl4mpGyS61S4ra9Xe453OWv3LvCqcspXz3icuRUgTMXSsRCEwSKbqRQQiKEuGrjmRryyqchznmLJSKqVkhZRNx2Y4cdGwK2TIb81Lu7nJ/XnLvkMLdsIQ1EcUKlkWBbGdePE+iGhnpXsNJNUXaHn/3hBm86XOXUjMXUxCpvuDnE747yreccOuE6Rn2zsrI2v/ud7/gxZbwziSh8b/Tk3xOAHz36HNu3KvvhRx7/qaV6/O/b7RVGJ1K2TndxrDJPH6/x4smQipMwWhQ8/OwEJy/Z/MjdDe451GbnZhdjHKI4axG1dILrhLh2h8V1j48+UOL4+QqN0ObffqIKqWFqMuTgNp+xasL73uSxdTIiikQesQXGyH7kJuefUqYIKfjcIwWOni8htGZ2ocj8UhG3oKg6glrJUHFTKi6UC4JqUVEpK0bKmrEajNdipsZ8Nk22SEyDzz1eweuU2LPZUCkqykVJuZBSdmMsK+TBZ1yCrsSazIwgexSlVFC87RaPx15M6QSSjpfQ6moabc3iWpEDO8q87+4WLxwvMrteRskUiPKNoUWUZMUZP5R0fE2zY1MuFCkVAg5s9rl1n8/l5SYzVxpoK+HlC5rPfruIUCoDt3iVLaVJsg9nUqIoZdtUxAfe7DFeSdi/LWVq3EAqEFg4OxJ+6v4Gv/1lh8XWCC1PU7Lor1JxbIiEoVDyue+OOu+722fTaJW1RhnXgZv2OczMj/D0cclio8vGiZQryyscPtD695cuPtYt1PZ87NKlF8OtW2/4ywHwp4/NceTE+t6ge/bXktYj0haTfPYRxS0Hmrz7To9yYYLTs0WW6zEFJ0ZJmLk8yj/93RK3Hajzg3e3ueuaJibNOmgsnVL3Yl48LfjoA6McOV8lwUW6urdTYqltWHwpxYiELxxJkCIBk+bnkIFklgtECIUQEqkUcaSRqcbSkrIDOyYMJSul6KQUHSg6glJBUi4oKkVNtSwZqcBYNWZiJGDjRJuEOv/pj12eODbJrjEYKebRuygpF2KKhZBS0aNQKOIoiZI5ByfjvVFk4XsCL0hoB4qOn9L20qxlrmQzt1TlroMBP/v+Jf7DZzWXGg5CpBgTkSaGKLayPUtg0fEUZU9Tcm2KBZeiU8R1IsqFkBv3hNhWxM17Yn78zV20ivMiUIoQZkiNZPp7lTRVSCFxbQVYBJGi1RRAVmzTKuJv/0jEvTcu8LsPtHnpVIUo0UiV0cFimnDr4Q4/dJfHLXs1640x5pYrLK66rDUVS+sOZy+HXFpr8467A27dI3nsRZf/+tlvy594f/xr1+xrP5763ivfC2z+PwZ48/LHqGwOC9/6+ux7P/X0WbF9SrB7a4eNYwVOXBzn6ePLXLe7y86khm1b2JZAyxhbpdRci6NnJjl2scaWaQ/SGJNmar7IKGYXXJqeg+1qiirjksPqsJRseU3yquRVzqimj22UAC1EVqlU4BYMrja4KsGxwNHg2oaCIyjYkmJBUnR1BvCSoFZOGa3EjNUCJkc7bJxc47e+kvKJb0yxpaYYL6dUSopyUVEqQrGQ+RReWUs5f8XBtTP5LfSUfgI/1OyYTpke92n5Np5v8iguabQ15YJLuVjjx9+8zIUri/z2FzehpcaQkqQJcWqIYp0LohReIOm6kqKvKTgWBSeh2c72GLaVYOkEy0rQMmuUkDJBSpNRNzF83URe3he0upnC0gxRPYlBqhRLx9ywO+SXftpj9kqXxBikyDf2iWbrpELLGrMLZVbqBZbXHZbXFUvrKQsrIWstn9uvCSjJGp/5lqQTeIzXFMdfeUU8/rJ870xj7/l/+G/+yPvVf/SB1xfg5bJnr8+u/2O/vfCPN9UCeeXKJC+c9Nm+sc1bbxf4oUO5kLBxwgdclLSQQiBEhKVTyg6sdR0WFlyCOAOrMQaExLZh06jBEgYtU9RQZS7HcLaqkmkuhg+Rn1KaDOAyzdq7VJZZsJTIq6FZ9dJ1JK4tKTiKgqsoFyTloqFaSqiVY0YrAeMjXbZOrXHkTMCnHtnIiOswVU6pFEUG7oKk5KaU3JhyMeDIaXj5VJHdEybnvYOyuRcobt5n2LPV49lXanQDg+cndDydg9yi6BYouDV+9A3rvHxmmWdOToNRpGmS8eXYEEcml7VmG9eibyi4CtdOcWwLx05wdIrWCZZO0SpFqTQbwSKzYCLEEMj7L6J/fbPNQ/bS+/tSpjTbWQZq+1SClCkmFSRpptJstBzqbYdmx2a1YbO8LllaS1hai1hcz1atCwsFTlyMuPO6DjumbRaXxzg368v1dOkXyzXHltL510D4ugHcmIb0/e4/f/jIb/29mQvL9qVlzYGtKRPVIs+esWl2GrzxxjbjIwlbJnwsNQoUiBNFkhqEiLF0StFOmSwZgjjbySepAJI865FBV+bpvT+L2WlPX9IrVYtcZ6JkXrFUYOmsUcDOq3+OrXAdRcERFAuCcsFQKSZUSzG1csBY1WPjRJ1nTnv889+b4tJcjZ3jKbUiVAqKUkFRcqHkJhTcCNvyafoGJRWWMsihJzNJM9FVFNtUChHdOKUbZPN5un5CuytpFhTFtoPrlNk+HfEvfqrJP/u45OmTUxgUqUlJkpQ4ifPKo8IPMwFaIVC4tsSxTeZ2q1MsK8v3a2UygKsBwF/72pqrfur9oyzVaPI9Te/ByP5Gmqdme5+l62uaHc1aU7LaSFlci7i8knJ6UWC7EdMbPd5+o2DTSInnTxXohm32bwtYOT1vT2+2/uFf+dGPWH/3r3f/6Yax4p+7nP/nBnjotwn99F+ffuWxv3Pk+bqLsWg0FV962uen3+FzaLfDR79S5pf+wGH/jhY/eEeLOw/4IKdpdSp0PE2cWR/j6F7lLCsfpybN8tevAuzwL8RrSNnFUAqsX8zJK5ZSZpW97BQ5wCWOnRkAuU5myVBwDKVCSrmQUClGVMshoxWPjRMNnjnV5Z99bJzTl0bZNpplWMoFSakos+hdMBTdhKIbESUhf/DNMlIprHwV6UdwkwE8Tiz+6lvrfP35kHbo0M0B3vEU7Y6i6Whc28GxKuzbEvOv/toav/AxwVOvTJEaSZKmxMmgtB6EKYGbdSs5jsC1BI6dVTZtbfoVW90HOPneoAdwM7h+3yVwkAN88HdMFu3zlSlOBFGsCEKBF0o6nqTTzZqcZ5ZTZtYD7rqhwXvu8Lhmm83swji/8+UCpWKDv/7uFivrNbZOW6TdVffBh574u+97x71ifb31T0ZHK3+xAH/l5FnS1Nz2uS89U5ioeTTbJSqOod5UfOGRgJEq+AFYscPRkzanL1bYvz2gbAXs3VDC0pKio1ASbJ2p/uLYZMIoI7K9Ij3J52tcaMTVfxaDB0H0AT6o5Ckl0LmgKgO4xLJkpt+wBa6TeZ4U3azsXSlGVEohtYrHRK3JkVNd/vlHRzk+O87mEcFYaYiauJqSm+lXCm5MwQmxrID5tREsJVAyzdNyg01mkkjiWLFhxBDHEa3IxQsMfpDi+QltX1LoKlzbwrZcLF1l/+aYf/XTK/zc78IzJyZJUkmcpPm1S4jiNBNJOSluKPFt1adglgWWzihaplMxaJlF4azS+X8N8levnr37MlArkgM8UycGkcAPs8BVLhr+6jvWcNyIQ9ugYFXxQ5eCY3jnXU3GKoYknKDVdokDwfJKh8nxhwtrq1tvE+LPP4jkzwXwZ59+kOnRtPixT33JVqZNorq88WafheUqs1dcZhZs1hsJtUJK1c312KFDY9nGqknaXYFlCRxHZQo+K5OyRkkG8IEwaqCd+G5H/5rnHFf2AZ71KUol+tREycxre0BPwLXAsVMKrsk78GOKhYhKMaRW8hgfafL8WZ9f+J0Rjs1OsLGmmCilVAuCsispuopiQVBwDUWnV+oPeeakoOPbuIr8Ics+X68JIUkFUZzZWdx+TZsjxyt0o4ymeEFC11O0HYVjK2zLzvlzjQNbUn7lbyzzj34Tnjo5SZRKolwwFcaDHszAljh2mkXvXJti5Q93duZSBTmgcRldob8C5h/3NaP5sKwnTbNVKc3L/VEs8tfsz8ZAuWhTtCaZKMesrImssSLKinEjrmFlVfLcAlxaiplbD7hhv8/svOShh/7Y3rbv/cU//tLXuz/87vv+3we41zqDW95Qe+KRr/6GSMM3RKHFI8+WefZkh7fdusy1e4ts31DhwrxDs5Mtm1FiSNNsl11wJLaVgQsrS0llWm1FkqYkCbkAKDt7Crje1fyOaC4GQBdCIGQP3Nmp+gDPorils0hmW+RirVxg5SQUcnpRLgRUyx4j5RYvnQv4hd8Z4eWZSaZrmoliSrUAJVdQKiiKBUWxH70TXCemXPR59GWbRtNlZGRQJh8AIu9+TxSTY4o3X9fh0edSvFDgh+kQyCWuJXEtjaVttC4gZcqBLYZf/hvL/KPfNDx1epIo1URJShibXPaaRXInkn11oa0lWuciLClQOrsuKhecZZxaDK2Ag237q8v7PYAbM1iRejLcOCFbhXMBV9rnmpLZKw7L6w5S5qnSGIIwa4ObuRLR8EMmxj0+cm9I2a7w4mlNsxm+YfHKmd996zt++GeeO3GpcfPBrf/vAry5vozXrv+j+fkLHyxZc0xtLVGwXV48Y/HbXwh5ww0N3n1HhJQTLNc1fpAJn9I85drjwSq3/UzzTWUm3VR9gCcpmNTk5fbB+VqEpRdthBxQk57GW6mBYlCrjA5ZuU7DtjOnWNdOKLgxRTei5AaUiz6j1SYvnAn4x785zksXppisWUwWE6pFk4M7j96upOBk0d91YopOSJwGtEMHoSRWL4L3ObjIU5uSOJZEkUXJ9jO5QOgy0gO5n9C1VT4SRWJpjaV7A2gNh7YbfvVnlvhffj3lqVNTRKkmSARhkvPxSOBGKY5lsoCi03z1ktlqlq9o2fXJu/J7r/kK+N029MP3o6dK7CkT+/cvSftKRSHACwQdL3tfIQQm7/wPopS1RsJ8I+Add3e557DFwvIkTx+zmFuLkEtr7DHnP/jyiy+fj6Po5/7v4vX/FsBPn1vAlDZse+Kxjx6+cmWVlYYLIubgLk2pYDO3pOk0bU5ejNk8GaOVIYyz7pGeLqQXdXvLX4+39QT4Sb5R6akAk1ddTIaWxqt29v1qZZ496WVO8mXYypsA+uDO1YOuleS8OaLgBoxUulRLbZ45GfNPfmucFy9MMVHVTBQSqq6hnIO74GbpxB64C06Ca8dUSiEnZwyPvFDClhJLZZ01w7Nuern7KFHEqeaNN0bs3tnh/KUCE0XwQ5OdQULXz6OwVmhtoaTpbwyv2Qa/8jdX+bnfTHn8+AR+VCBIJGFsKMYZZXEsMpDr3uqV5hRFZq1tMovksncOgXtIfPga4O4FnwG40yQv9+cRPEkGf0cI0f/v9VSMvaaUIIKDWzVVa4wnX7KYXzZcXAyZnkqZqFjUV+a5dOapwx/5mz+zrdNYmC3V/uzjDv/MADfpeRBq+8Vzj//Ho2fW3jM3v8ruLYrdWxLGqxEbRi3aO22CSOYRLui3h2UqPzEkgCL31ROkSQboOBFEicwieZIp29Jc4WZM75Xv4OPiVZtLJQ2ip/OWJge4wdLZaesUy0pxrBTHjnHtGNcJKboBo9Uu9XaXx16BX/nDaY6eG2c8B3etYCgXBCVX9HPlWeYlzaK3nQG84ASESYLvubgqe8jkMGDoVQtzWW+sMy6vA4LQ4EViCOAptp1gWxrLkmilUNLqAxwB1+4Q/MrP1Pl3n4x56tQYC80KfklSSwzl2OBaBic/Ld1LkZr82tCncL1Mkxzav/QucC8Yke+HhgE+iN45NUky+XM8FM3THNC9+z54wDP1YpqCFykWViRhFNHyU/zE0I1S5JaYHdMtqsX193z14WeTbbsO/N0jJxZmbj34ZwP5nxngXv0ijlu41Wu89N6qOkbTLXHsXMJSs0snSLl+V4N9WwQ6UJCmFIsxm8YNoPACTcfLVX+JJIklcZrJWnu+JFGcATyOBw9E78snqeg/9f3CQx/hvTw5ObCzJVzJYb13Jou1dIrdl8dm4HbsHNyjHVbqHr/8B0W++PQEq50RJqqSCTcHt5vx7mK+sSw4kqJj8giecW/XCYGQh1+yqUc2Yw5X6bF70av/gCdZ80PF0bzphi7PnA5pRw7VvIHaD1PsINOq2zoDuFYGJS2ENCCyTcn+LZL/8D+1+OozHv/6o1PMrY7g1TQ1W1COUwoxuFFGz2ydGRpZSuQrnOhvgtUQxevnxV9FwHvFnzQdADyjlwzA3e+Dzc9cqRgmIj+h7UMQGhApkxNZpTWIsz3b/h0+h3al+J7FhpECK+tVvvDQeXYePPHem+LCH3ieN/M9jeDGtIDyngtnHvnbX/rGOVptkFZCp+Pw+KzFYiPmqWMR1XJCN0gI/JT9O+D2azwEIZvGUt58Q0SaWpjUJoptur5FEGnCSOdd3jLr+E4ybhr3mhbyxgWT79TNd1LwPILn6a58CVd59Na5NNbSmd+JbSXYVoxrRzh2RLngoXWXR19O+N2vVfjKE5OEaYXJimDczWhJlgLs5clVfoo8cg9H7witA548UaMbajYUTV4xfHUEp18UiWKFayluO+ARpxnAvUjg97IhYWa5ZuleilPlgMzL7GRVx/Ga4IP3dig7C3z0ax6PnRhjMSrQdSWV2FDSBkeTDQfQ+UOvyB8YkQeGzCFM5lH7tTh4jyqa3Hcl6bW+JSaT28aCKMmt4xKBnwg6kaATQJQkJEQIE/IDN7bZPB4jDNx6KObgtpSur/E8m5GSYLTssLRWYX5FsrjWZecmieWdpCz3/e33v+f2F9+13jk7Plr6fw7wx58/y8LFP0Zb1Y2rSxfvsUWbNB3h0mJW5j6wWbF1XLLasqivGzqBoRPAky8ZnjyW0I4MlVLIwW1dHBXx7js63Li7zeYJhaVtWm0XP7QzJ6VQE8aKMFbEscqieZrTm37b2UDmOSjq9BpszQDgPc13fmZajBjHirHtCNcKKRZ9bLvLH35D82/+6yTnV0axHJfpsmDUSag4hpIDpbzDvuBk1U43Lwhl+pUkXwkyerLaSuiENrZS2HKQhuuhO5On5st0kq1WYWxRsHymax6NbhkvErndWrZXsKwkT/OpPN2p8iri8MY1Uz6+5+4ONx9c4Vd+3+cTD06wHpfoOhYlS1LRmQbH0WDn9EmrAV2RMi+MiYG0YBjkw9Hb5DQj7qUG8/RgGAu8WNBJoBMKPC/BsXw2THW5eU+Xd97uYyvJ/i1QKWqCwEaJEgZNV9p0sFlv2Fy4ZNHxJZaO2DpZ4PKSZnZuncLRF++pt+obV1bbZ415BSEO/T8DuDEpc937tq9cOf5bLx45h2P73H1DQKdTZa1p0/GzvHYrd5xqddNcGQdt36IdQMezOXKsTDdKefTlgE0jXW4+2OL2/T5vucljYsSm67v4oUMYZpE9inWWZejZquWnGdqs9sDd05zIvFNHStPXXFg6FxrpGFtn4HbsAMfymFmK+e2vlvjC42NcWBqhUrQYdWHESSg7Ji+998Atc3DLflHIzbm3Yyc4VkSlFPD5JzVnZwu4SqDzDabsV17FVRE8oymSKNbs3wbvvLnN7z4wRqeoqUQGPzI4Yb5vUClay4xSKIZAbg3drGxV2Dou+Scf6nJ4xxy/+ZVRzi9WCeMCXUtTUoKCNhSUwVamT1W0yuldP+OTl+MZejivypzkPDoVREMdQJ1I0IwgDCM21Dr88N11bt/f5ZaDhomqxlYOQejiBzb1hkPXz4xRW11F29O0OpJm19DupLS9GC+AtZaiFXrs2hyQdE9w67W7fmv3rpvfniTt/0uq8qcCPIlDpLJ48aUjm5srZ3c16gFn5qs88lKXu69b4fb9EkGR9WaBlbrNetOi0c7Ksu1uQsfvuZlCN4B2IGkGRS6tFjn90AifeaTLzg1N/uVPrXPPDT6FqIAXZF8+jKyr29BS2Ve29QRWg81lmkfuTPOtZJpbCw+DO8JxQmwd0E5Cfu0zNh/96jTzazVSVWC0qhi1DVU7pZhH7mK/fC9znUpOTfLceR/cdla9DKKQs3MOndBhxMmzOEObtl6hZ7jYEyeSKNJUSpodm0OU49MOy3i2oBAZgh7AdZIXalSWx5Y9CfB3bl7jRDFe7fKR93R57xsX+ehXW/z258ZY9Up42sXRimIOdFf2xGfZZ1W9z9x/ME1/lehHcJO3uSUQ5TQka22DbhRTTDq85aZ1/sVPN9g+KVGiQNfPDFBXPIeuZ2XA9jQdT9HxJK2uoNlJaXYi6s2E1WbKSseACrn1YId7rgUTVzh6LuDIcxd3heHI5oMHbp0Jwwjbtv58AL+0sITjlie0pT9z8fxzlrQNd14DT79S5aNfcvnWS23ecds6N+9psmmixOJamaU1h7WWptnWtLpJ5kftJ3h+SjdIqQUwGgiagWbNr3JipsTf/40C77ltjZ99X5upWohtFfACZ9CKlm9KzXcBeBa9c5CrNO+3jHMFXdbeZlshTT/kyaOSP/xGhc89PoaflLFtm1FbULNTyrah6BiK9gDcriNxHImTU5OsMJRnJnKA21ZW+bx4xfDY80XCyMIpme/YYPaOtM/Bs8xSGCksS/Pmm9t86qEOp+dKeG5W6g4sgx2DFaVYYYpScpDWE3Jg7sPVOfYklRQdzVTN43/5YJcDWwM+8Y0yz52ssuKVCJRN29KZyZEkA7oU/f7NTMdjspWnl9Ydam9LzADcGR0xpKHP5rE6f/t967zz1pjNE0Ua7RJtr0Cna9P2bbqe7vuWtz1JqwutrqHVjmi0YxbrhitNg7BCbjzQ4h23ROzbWOTE+TEePy4YqbZ4/sWXrZuuv+UzabR6XbfdWflzR/DtW0bkubOnbz3y3Leqo2XJhTmH1VXB5IjiFtvmwpURfv3zZTZNNfmfP7jKto1dRio1FlaKrDUtGm1Fs6PodBO6fkzHTyn6KUXfUPQTSpZk3dbMr47za39c5MKVRT58X4t7rm9TKcV4voOlNLHOW9FMBvJ+rafPv3sRPEXJBKV6wI5QOqTZiXniFcHvPVDhGy9UWW+WkQWXUkExYhkqdkrRMhRtQ8Emj9pZ5C44mfDftQWuTa7QS3NwpzhWxr+VDjgzB/NNNyus5M2+g8LJEBDJtew5yONUEoaaqYpgzxaPY5diupFFkHt82yFYymCpJKcoYpD9eJVOo/fw9NOQicZ1LD7wZo/7bqnzrRfbfPzBCs+drLDWLtCSDh1L4WiJFuBIgSUzcGsxsGXurxAMqEmQCrqpIQwSyrrNm+5Y5afua3PfbZJup8aV1RIdz6XdtWl7WcRu5xG744nMgL+T0OzE1Nspc2uwHkRMTXT4hx/ssGW0SKM9xnMni7Q6cGBrgDFFnjme8uhjD1a7/ltvnZy65gH+FPOgPxXg9ZUrjmvx68qfKyXK4/BemKgq4gjWmhYbxgyXliRnr4zyrz7ucPfhOh968zJ7CyNcXirnwntN09FZ2dlL8k1ZnofWacYDhWRJF/n8Ext59HmHX/ipFf7auzqUiglBYJMk+jsB3ueJuU2ZyMBtWzGuE6FlxEo75dHnFV97vMQXH6+y3C4hnAJW2aKsoWZlnTwFi5x2QMEW+SlzyWnOu22B04vePYDrGNvOVghjIh5+wWH2SoHxUYEl07zgJAaNvr3DgOmBMBUkicILLLZNCd58Q5cvPB3SiSy8SOBaBjvOongQ9aSuScbBe9VGIa+iKb2WvTTvT43zfHvBDfjAvR5vuXmNP3mixVcfL/Ho0TLLzQKecMDWdLXMNDtC5BtO0Z81aci8HGOTNSbHaUoaRRTo8NP3L/MLP9mkZBdYrddodoq0Oi7NjkOrx7G7krYn6XiGjhfT7ubgbhlm1gSRCvixt63yhoOSkj3J8fNlZq9ILi0Z1lsJUSoYrwWgIp4/Vi/tv0b/uly9cgDw/lwAn519Ds/rsrDc5txCmdVWwO2H2+zcaNg94rBjY4lzcw4jZcFL50v8wdctmt0Vfuada2ybTrF1Cdd2cJ3sy7mupt1VWSZDJ2iV5EWLFIQkxWW1Ocqv/3HCDQeXuOfaLoKUONGkqSJNh6OV6XfJ96iI40b4fsrpeZhZUHz6mxUeeK7M8noJbBddtikoSVkbKlZKwTIULHCtDNyulXkSZjJTOXSK/J+bHORpH+S2lbWnnV9IOXbRAcvCkly11ItXpSOu4rL9Km7WKHBoR8DBzR1OzRfxXEExFjiRIVDkqb20X5zJNpq9FOTg2gwX0pK8CSFOFFGSucgWCgE/+Tafd91W5+vPd/ijh4rMzLucWigQNhwSRxNqBVIhpKD3P0NP/Ja3BqYhdANuvX6d/98PNynZLquNKs1OkWa7QL3t0Ghbuf21oN0lt76O6fjZCJV6By7XJanl8TPvWeK9t1vMLU3x/Mkip2YM5xZCYnwKhZBdmxNuPyhYrxc5PtvizMzZ2nve9q4fa3XM71ZKr60r+K4APz8zI3zf+9t//NWPjrfbCTs2aayFEl9/0sF2fSZGI67btc6B7QW0rmbl2QsWf/zoOHu2LPDht6ySGvKqoU3R0dkmzRY4loXWMndcSkhNSpym+LHCLzhcWCnzm5/12DxRZ8e0R+BbpEZh0oGoWkiDbScomZDEKVfW4RsPa85fdnnk2SLzdZfz8yVwHVTJwtWSkoaSzoGtDY7OStmZolDkNETg5tHbzXUgmeffELitJE83ZptX1w25uAInZ4pY8ur0YJ+iMNCD93PJvUxKKokTRRxbHNzmsWeyyysXYrqxRTkSBBrsvKSthgAupUBIeVUkh0FBrFc7SHpRPNHEliZKsvRcpRjwV98acPfhJvP1Jt9+1uHCnMODzxdZWLNJIgsjNcZ+VdXHpFmTchCxe1OHj/xIgy3jkk63gOc7dDyHZicD93orn+jWyehIx8uMPDu+odmFlY5kth7xk29b4X13CuaXJzh+vsix8wkXlrrs29Hm2t0JUzULVxU5NVtgdilgctzHSY7WFPf8rEm8j/KdIqU/HeB/8sDDpGnywUazW5KmRBAYdm/WlFyH+VWX5aWYBxZ9nq0F3Lg7YLTqsmU8YbXj8LUjFd56yyIbJhtIlUW6omdRdC1KBYVrKyytckObzD8wjA3twOBoQdez+PITRW67rsvfem8X10n60VsIUE5KGMOFS5JjFzUPPVPk2IzDiQsFWoFNELhg28iqxlaSooKSykDtWlkeuA/unmzWznThTk5LbFth2zIDfw5uJwe3bWXVUDvn+SYNWVqXBMbJJihLg871MOJVHLwXYY0ht5TLNoRJng8XaCZGQ6Ty6UQWXS1wYoMdMdSwkfaVgBkFGgaf7Fd7U5Pb1iUDkCeJxEoUcaKJYouu77BhJGTrVMhNOwO6oceHLzZ5Zcbim88UOHbB4cIlmyiWYPXyhhnIlYh5191t3n13gBZFWpEmiCw6nt13CFhvCtaaKY1WRLOTZIOw/KySWQ8kC3XYMd7gHbdEeMEEc8tFVhuCStHnJ97ZZqzkkMQF1uoWx5c1V9YM1bLETgsszc9z+dwn0fq768VfE+C//l+/gu+11cLlE+LEXMhP3tehYLlAxKFdikbbYrWpWV6vcGW1yPJ6pkwbqyqmqinPnijx1acUP/uDDSZHUwpOSKVo0y3ZtD2bomujtZ0tnXHW6OCHme2vMQJUSmNN8sgTLj90n8/WkZhOPUPLxSuKTzxUxAsUL51wOHfJYbVjEyQ2aAuUjagoHCUpSCgqg6vB1SmOyoVHKpPLOpbIih7WELgtiZ3TEscGxybPmmQlc0un2FacV0QjCm7Icj3hm09l/i4jVYHOc/FSDkD+6qMfYdNBq1cQKMbHFPfd7vP15zwuNUt4lsxoigYrNlhRL2ed59hlkqULGfY6kX2/E5OKvFeyp/0ZAD3WGktr4jiT49pWRNmJeMPhiNsPBvzQG33OXpa8fMKiGyo+8Y0iFxczRt5qCLaOJrzxLo/aaIK3loKAJB60qjU7MjPLr4esNBLqHWgFgnYoaIWChm8wcZd33bnOrfsVZ2aKrNQtEiMYqxVZX7M4cVqzvA6rrZRmN8C1EyIhKLoeP/m2DmfPr4jrDx9UK7N/Ek9s+8E/G8ClhGKp9GsbRlrXrpRt/uRRyUI9YfNkk7fcmtLqWHi+wCjF6GgRkiK2lmzdYFOteUxvanJlNeGRozG3HFpnqtgkDi3CyMEPbVqdIrau0eqU6LoqG5qUwLnlBDyPSbvNobs7bNyc8PgRh9Ozmi8+4uLHmQ/IlUWHVCgiY5EKC3RmCyulwlaSgjQUFDgqq9zZKovaVu9Vk5tUgt3ry+yDW+U9mmIQva0Uu7cxtpN+9LbtCKVCvv2i4gtPl1G2xpEma1GTXJVBea0I3suFZzxcEiUK37d41x0eX3yyxScertKJXUo5D7d6PDzqFWVMv1tI9LTC/WY+2ef6yRAfT62eDkgR64RYK2JL5R1BFkEYo1RmpD9WiLhzf8xt+wKMTHnfmzsEoSBMJF94JLsv83Oah550OLQ7pFJust4s5VOUFV0/s+W7vJZyfhmafiblTeKEJI4o6JBbbmiycdLnWy9VmLksaTYzsZxJoR63UZZPbVRgXIXqCt55W5sNow5LqxXmliZZ8ZJr77699Gtpykf+TBHcmHVgpPKlr3523/q8ULddk9L1HI6dF1xadPgvf2ToBhFJFKOUYaKacss+mB4zTNQS9m/vUquu8gsfVXz4lye5+/qUciElTSQGich7Cct2ylQ5xdKKsRGLjZOSO29coeAuMVHrctftHk+dsPjFX65xcs4mUgojFEidn1b/5wzYAlcaisrgyFwSq8BWA48+O9diWFpkP+ftXLb1neDOInumGbd7ILcy64WensXREcaEzK/ahIGLU5XYuTy3l4G4qorZ6+hhUF4fgFySpIowshgpK7aMh9jCx4sdvFhQ0Jm+o6chUbnJvZJD8lYh++9l+nRF5GNaetXT9KqHqufhGKsEK1EopdE6Jk5ioshCqxilY5SM2T6ZoFSMEDGH9oWcmNf84i/V+Fcnatx+e0qt4lAULjXLYOnswRurSd6z06NQXkcQAgnCJBhjqBZi3nCDzzeet/jHvzXKmC05uNljtKrZsUlx2yGYHI1Q0hBGFh3PpdGe5tKcwysXDM2Oz/bNbXX8QnffgZv+SuXspXZrz9bynw7w1dU6SrV+1WvN3Pv40S4bRjvcstfi8K5RpkYUrW5KEFqkJgPIaEWxcVKweTJk63SHDeN1Hjkqeeb4KCutUR54RmebIJndnKLKWpS2TQhKW1ImRyTVcvaA7N+u2DxlUyn5FMpgp4ZuIgmNzuiHHD41UkpsKShIg5sD21GDSGf1GhxU3sWTd/T0tNFZO1felGsNwG3rXr7b5A0DZsC7rSxjY1kRjhNxeTXl979eAm1jSTHYYPbpyXdqOgYgz6dNmB4Pz+znwsjix+/z+JNHPU4slekkFsVYDErrvYdIgsxn8vTfq7dRya0esveRAzrU4+SJyJqW88qnpRLiJEHrBJ0otNJYOiZONCqJ0SomkglaxygZ4eiIojQEUrLULPLlJ0o4TpE9Y4YDmyImRgyVksVoVbJjusi26cxKw7biXMKQ1SsKjub2AwF3HGzz8PNltJRsjWIEEIZjjFbHsK2MugahoNGBpbWYdhRw06EOoyXFs0cX792yY/5Xkzj+H/4vI/hDD30bIaV96fISbz4ckqQ1Flc1WyYNo1VBGGUThiGLhuViysYJn6mxNqVCgydPBvzSH0xweX2U6RFFJc9Y2DrjwgUbKgXBWDXrhnEdQaWYUCrERLGk7TkoZeMUg36WAKlBWSBdkBkVsVQO7BzUdg/QQ6XnTCabC4v0ELjVYL5kr2dxAPYM3LZlcmltb0M5dFpZ9kTKkNlFwUrLRWiNI7mKnshXJR+GKvX9VJ4ZqmpmhRlFGFuMVQK2TXucWgzwEo2fgJsIrMSg45yHx4Mqbr91T6ihpylP7aU5yI0Z0pEIkl40T1MSJdCpxEokiZIkOnvotErQqSJNFUrFGCNBQ5oYTGIwCSAVqW1TdQW2yiww2l6CbWX+iZcXXfxAUS1FFNwYx8qFbzrGcSImqm1+7scbBJHimeNjNH2L1WbCSiOlXJBYOUqzPs/sO2yZdjg74xAkHtOTizz71NftNP3ORMp3ALwkTyOlIIo8Lq9G3Hm4Dqli41jM5omEMNIkycBD0HECFlZj5td9vv6Q5mvPTHF5ucr2MUHNTrICipVFe9fOKoQlV1Et62wERzGlVEhw7cxxiV4GIIH1lsSLNWg7A7ey0VLhqnzzKDMaYimDJQdRuw/unv9JHsF7I0p6lhFZr2KWLemD2+r1a/ZAPgC61YveOf+OifjqkwWWVgpYVYUte3oOc3UGhdco9AzpwtNXFX38IHOwvf/ODk8e9WnFLl2tKcRp/7uGcjCipKekFCLtbzQxsm/F1iuxZyabMn+vNHvfRGTtZVpgpSmJlhnQU0WSJiQqIVExiZZYuakpgI5SCjpmpJqQVYKy943TrCPJ81M6VozWAik1UWLT9jRFJ8F1MomDa2c6es+32TjS4ec/1ObLR3y+8VwNL3R46oxNwc6apDHZ+JkoTtk0EeOlgoSUu67pstZwePjIpR4x++4A/8TnvknHKty1cP5bN5+bazJfL3L6ckgURVy3O+DQ7pi2r0iTTA8sZWbj9dWnHVbqZS5eKVKxNHsnU0pOSsEe5JcdLXByyWnRzTz8qmWT2Qy7WTe6Y2UTwhwrYb0BDz9dYK7ugG2DsrGkoqQzmtOL2nZ+w/UwqPOzN5ZE95uNc2Dnr1m3+QDcVwE77/qx87RgX0uuY2wrwrZCFpspL5wrgLbRfXrSK0Bdnf8eRnjmI2KG5Kc9oMt+TjyKLG7YHTBW82jWi3RjRVGBFecN1InJzrhHhUxfeDZ4q176TAw2tqnIu3B6fBysvlozyaiLFqQ6j+5KkGrRryL3WpFVmDI9kvCm232+8VLImp8SGAhiiRemOEHWHidlDAjiWOIHioIrKdi585ZjKNgxHcei7TmMVX0+cn+Ht93UYLFheODpAlJl9RKTi7s8D67fHXN4l6AbuMS+S9kJ2VVwb/7hd9551z/8yJ1P7Dpw32sDXKoIA+8oltLr9200VJwiV1YLrEcxLx5PePxlQ8c3hElKmlf/pcz8PQpacGDSUHJSXIu8zC1y3xGFbWXlbtfptbRlzlGVYkypEFFwsgYExw4puCGPHVd8+ckyBhe0g6UUFWUo6oxv2+o1InbuPajz8R29n63c6KdvGaEyTxRLS+we59b0+bajs42lZV3dKNHTlGsdIYj4yuMOT75SRjoaW4o+PVGvyp4MFH+vrmaK/mazlypMUkWSKjzf4vZrPN55d5vf/kqZMHHoxDLL0ijyammmGckEXSlCyjyKD7+VvOq9+jSlF8216BstJanAUpn3YZrmQM8lEn2A96XKKdpKeNcdAX/ycJevHanQdSzaSuCG2X9HSYAk76DPBsu6vsB1sgJaVh1WuI6F27Gpt1xKbpmRSsBUJeTApiRz1RVp5pgVarq+jR/YdD2LdlOxsCq4MB+wc7d/fb3RfEcQRk+8ZgQ/dfYytWrpvj/43Lc+FDXmuG6vx54wQhrN+fkCMwsWq42YjpdNY4jzapkUeWZCmSxKWhJbD23edJ5XtrK8sutk/iGlQkqpEFMuxpSLIcVCQMEJqBR85ldifu+rFS6vlqDgoqWmrKCUgzsT7OfTC/qveRtWj45Ige5Hb9HvKB9E8R5FGYrcQz2bV/HvIWqSnREhEX/07QqJsVH96uXwBnOogZdB+q7PwfNpxMPRuyeQyjabGoHFB97U5Q++6tNIC3ipi58K7LhnRWf6DdY9iiKRfKf2SA7RItEH+EDbnWVTbJWS6l5uPs1OnVwtU+4bcRo8L2XLWMJPvKPFyxcLzDcsGsrBUSL3ITd550822jEMU5xQ4vg9RzGBY2XBz7FVHmBSrqwW8npD2r9mcSIJQkmrq1ipC2auJFxcjEDENIKUsal5CtbuD+058M5Hgs6lrzulrVcDXEkfjNytRXPXt1+IeeJYCSMC3nN7gwM7itjWBCPrNt08lxnFJnefGp55I4YAJfNMhcDWg4yEm3egF5yEUiGi5EaUij6lgk+l1GWt7fOLv13iC4+MgltEa4uKNkPdKL3onTXPDtORXqVvYHCTgz63SugBW+veJrPHuYcyJfkwKqtf1OlpyjOQax3hWCEvnJOcnXcxykZJiS1TtBgC3bD1wmtkUQa68IGDwHDRJ0kUUWyxa2PEwZ1dnj5TJFI23VjiyBSdGHSctZqpuNeBM9D1ZNOOh49hqbHoZ1Ws1JCq3INGizxnnmL1VpYhYdhVEZyMFrU9w3ve0CFIVvi537RYbI+iRAarTHloiNLMsyWIUpxA9u3ksnRtvpoqibbAUrJv9THsvBAlEIaGjmdYaUScW/bZusHn3beHJGmJKAxYWmvtqm3o7I5C/+vfEcHb7Q5hmLBhNOWOQy5e4LDWdHn+RJkkTqiVUhxL9Gew9Eb1DfdIDizS8n4/bXKQZNGxVyhxcweoghtSdEKKBZ9ysUuUdHj0mOKTj4ziizLKsqloskyMMoMq5HcF91DUVqJPT5TqPXC9c2D+Y2nTb8a19BCwdYqtE6x+V1AWuW0dYYj47MNF1tZchKOx8yr21RGV71QRDmO8z72/U8edJJI4VUSRZnxU8P43t3nhXIUgdvGkTSEV2IkglDkH72ni5QDkIo/kw3y8NyuzZz6UDaISXNWpk29CTU5bstUlj+IM3HzzRwZB5uX4vjd4PPDUOl86Imj6NRJj5bN/8hmceQuem/u0ZNdUMuy2lfnY5OZN+XukBpLc0CiKDH6UEISGnVMW1++ymbsiWWsKlusWFDRTm9p4vv+dFOXf/vqXwSiUXGPzeJs7D7eQuJg0s1cr2F1SI/BDhR/K/pTcXr+k6ftx93K0ecOvzlxNrXy5d/od7RGuE1JyM3A3uh4//5tFPv/YKD41tONS0VAdFkYNU6HhjeSrwK2HwK1V5uik81XF7v27Vt5lbpF5pVjpIDWoB9zbsoait8o6d07Mwme+USKQA3pi9Ys7wxPNXpVFGS70DAF9mIeneRNED+RuYvH+t/r83gNdjl4oEGorj+J5IOk1DMevstDoG2Sm/elyvakXvVWjz8lTkVETk29AtRnSlWe0pf8g5JEc08tZZN/OdQT/5e+3ePvjAT/3GwmL7RGixMZPJNU4605yrRS3b9/R80nM7lnWDyqu2j/0JsDFcRbBg8jgRdnndFuG+WVDYmKEDrl5f4jNKyycnSPq5bF7AH/i2AJ3HtpQ/Hv/7Dd2zM2s8MxcgRfOxpSLHh+4tw2pplhM2DImMcYiTTOy7/k6G92XDAY+DXe4Z61jmVC/N83M1lHW4uVmExCSxOfohZTf/GKZTz00jq/LWLZDVUNFDwRSdq9oo3ubxx7nHlARNZQ1yYB9NcD7BR+drwAWOaB7vinZg6j7LWJZZ1BGTTJ6oqyQs/OaduiAsnJ6MsS/h02Ihsv0r0FRBpvMoR7NXhRPFUmsiRNNyRLs2+Rz9GxImjp4iZ3lxHsdOEL0rYwHVIWrHGDpAZ1MK04/Iour+fhwJDdmiH/3KEuSZ4Fyh4O8CcKQ6eg/8CYPky7y618MeeVijcVGkWZBU7EFJZ21yWXV5bxmoAYrn8irvoZsbxKlWRNzN4BumLXJxSRMjkeUqymOCHn/vSFFt4ArXaJE4JSqO269/e8UjfmprhA7M4C3Gos89kLjrTt2TPyjxvIJdky6tD3BarPEf/50jdm1kN1bWtx20OemvR47p1McS7NzXJGkVr9/MowGg58GHe6ZQD/rgImwVIxjB7S6ERdXYr79osUvfXyCK+sVpFukoDVVnTci9FR/eqgi2c+MvJqaDJY6S0lU/8/5MjgUuXsRxBoG9tBpD3FuSyc5uDMPlfV2yv/xx2XWPBfhZNrvXvZE9FvUxKuyJ6+iJ72zF83TQcFnYIiUpwxjTaWo+Vs/3OZbL1RYC2wiqfGSrIqreqaZ8aDNTOYgHywaaZbe6/FvkwuyejnyviHPcDTPP49Oc9oycJAdvA7n8SVpInFSzY+/pct9tyzxKx/v8OiLVebbZRYbLralcaTEsbKCXzbYIDdryleeJBUEvYgdp4QmYXIkoFSJ2LEh4Pq9AbcfiNmz0eXSlVEW18aYm7dodQXVUpvte0b/UXP15SeCoPsn/Qi+Pn+CrmPjNWbYtqHBoe2abuiw3pScnRVYxmb28gRHz6Z8YSzAsUJ2b/a48xqPa3f47NucYEvNholMo0wqBh03MkXIhFYnJYwSFtdTnj2lePGszeNHRzm3XKYZFLCLNkUtKOs09/AYArbu8W5etXkUQyCXQ0Dv/SzzvQADWtNbBXK+3fMqHKQEB534ugd0lTct2xGfftji+PkCSAsh87SdyAs84uriS++ufVc14dBrOhzJh6J4nGji2OLQri7vubvF7z3gkmobTzr99jItDTIRCNlzhzV9aIurnqq0v8EcfqDSIfrR4+VpX08uc9pCHtHpR/X+v59/3jRRxKkijjXVQsAv/nTA5ZVFHju2znNnCzx3ssRa06Ed2awua8g7hwa+jYZUpozUIpSKObjN4/DOgDsPRuzZKHC0xeSIRatT49KVMsfOac5cillppXQj2DXVYeLMJVbqBeI4GFCU0VLWVDtakMytCk7MGM5eCam3E6Iga1Y4sMEQxNDyXOrNAk+vVnnwSML2jV0ObupQsiPedleXajHJyre9qyohlYInXrS4OOOy3LF47ESJOHZA2Fi2purKrICjM47mqEHqsc+Z+1F4KGpfBXKZbyYFWsp+LrwfuXNQ614Wxkr70dvWg7TgVSBXSZ+eOHbEejPlS98us9p0wbXQUmILw2AcyKsUhAzy3+K7hPJhG4Y+B38VVYlizUhF8u57u3zxKZ+1tk2kLLpJT3sucuvj7LWX4SAfGtV7kPo4N2n+kInv4OU9/5lkyBoiSx3KQYFoqPLa19H0nMqSbHMcRjYF1+HgtpBDO0KStMFTx9usduDMJZunX3AwUl7F30wKxWLM/Xf6FC3B7k2S7VM27W4Vzy/Q7DocP68II4VBsHtLnW0b2yw1ypxbKJEEBYKwQpQWiZNse6nPnD1HrTay/cWXnv3Z1fVlElFhdV3TbKS0OxFFRzIxqrB19nSHUVaGbXQNax3F4nqNBy5XSUzC14+F2DIZtDTRM52ULDQ0YVcjtMJxJYVC1pjrSnBViqOyqG2poRx3DmhrOHpf5XGd/Vmpoajd/30vN55lc3R/g2q+KzW5Oh2YC49UjFYRth1ycUZwZtYlxUZIPaAnYjBJ4ipwCzGUIhRDABuO4OKqs6f0G04XxokCY7F/W8iuaZ+1uotJbHzp4CUiS0/2jI+E6Fs9ZK/iqlTXAOxpHqnNoH9TDwDepyrp0ObTDPkQ9l0BRO5AJom1xIoTIq0I44QgtGh3XXTuSXPbgRhtxXSvS/nAGzxE7s7VE4SlqUQKycSITZra1FtFLswVqLdc6h2LrpdNjsiEfoaJkQolt8BYpPEqCcuJ4sriZfbs3fuz1177xpcuzZ6Z0X6Y4PjBdL3NfU+80kTbGpkadm6wqBTsLCOiM4vdNIUwNnS8lPVGjGvFFHRCsyjoRopOUKSTZBctuSqdBBUbtJvlNy2RAUPLbMOhh0rtg+zI1aX278a3lZZZUSf/efDv0ge16qcV86zOUOT+DoCrONtkqkHe29IRSkZ89ekyZ1ddsDQij966p+p7VQblKofW73IM68L7DQr9DZ3s8/AkVUShZud4yP23d3n2RBHSkDjReEJhi9zkM7l6llF/1einUXo9lbK/cmiTRfSswikHgDYDHp6khlTnhqiKfNiu6feTWkk2acKKey64KTpOsJSFUknWAKKyoVVSZpv4SsH0fSUz2pR95yhWXFnReEHWGbTWcFhcs1htCjqeIYqyKrqUcH7ORQlJuZiwZbrFxFhCECxRdpP7ksSfVjKZ0d0gAhUhpMfejW0mRkpMVqFSMFl0zJdf8s1QlGQTwi4vKoIoJYqzcXQlG8ZcQdy7KEMA70/o4mqOOkgn9txgGaT6JN9JRaQY0JAewHvUJI/0qh/th9JQeapSD4HcfhWws2idXXyt8o2lyk63GPL0acWffLuE59tQ1GiRa09630cO+bS8Rqn+NQF+VUQfjuIDnXZGDTKaUi0rfuiNPg882eXIaRtKFn4qsRKRW1S8loF93+QuAzciB3SmLjRG9As5ur/Z/C6bSp2X83O7ZK1Mbl6UFZ1iLYnifJKbVtlkvN5EN2HyPcLVYwv7q1jf6UvkuvhsalyjrTh32TC/HOKHWYExzb9Rz7VAK8HJSxYTI4KC7XOz9KkUfaTx0GPllFIpZbQoWam7LKxF7N/W4a23+oxXshTgsEhfCEG9A8+dLrLaLKCVoOxCYkxmWJ8ONiPDG6leKO/d66tBPnA57ZnVq+HNYx/YoIaoyICaZMDuURKVy2S1NDnY074/eBadBynBXgoze7065611hG1FRGHCA08VOXGpCJYNQmX0JC/uXF3gGYzHGsb1d+jBhxyuBpXFwQYuazUb6MTjVBGEFge2+rztzg4vzxQIYptUajyhsRMxtMntNVqYIRj10oK94k46yKioXiYlRadiqJVuYGHdoyVaQaJBpwJLDYCuVQZ0pWQO7IF1dS+j9urrMFjBxKs22YO9yMRowMbpNt8+abHatpGiN9Im+5fT1DBRDXnr7oj9WywaDZflVYfLixKvq9EPfuOzGBSWaHL7wZj59QKPHbf40nMhjo5J0xSTpqQmu0hSClJj4XdspkpQKGbAGlasDWsdruabA6QPRzrZA3l/IkOvssVVYO6BW6nhCD4Ady9q90HeLzRdDW6tBuC2rF4ETwcpQTU4HTvklVnB158s0PUsKOWNFiI3rRSvRU9eO3q/ejJcX1XYK7pwNTV4dYYijDSViuRtdwZ88VGfly84oDSRUHRTgUqGfAX7j9gA5L28NWbI5zsHtzKgexmU1KB72phUoPubygHQEwWJAp30gpHJRxSa/N6ZfoW1r3Qc/jRDwB5kdAa/h+xejriGN94Qc+PBFoY4E1/1K66ZMautJa2WzfMnLGZWNKvxM8zMHyUIU/Q1m9cp2DBzxfDgy0UuLEMcKGoUSAKTGbwk9NWDiMxVdnIEKoWsGz0bS3F1VuAqg3RDPzU1rNjt8dTBVIYeDRkYsw9m7MicMg2APTwORcs8aufdLj1w63w2pM5N3y2dDnHsnI7kHoa9n3UOdMuKiE3CV54o8tgrxUxyKDRWTzl4FbDNawJbfAesB2KrTDKbFzaG5Kz95Xoox9zj4oGvuecaj/vv6nB81iVONEZq/MTCEgKV5ly8H7MHsDIqe/fUCDSDe6Tz+2XyqK0VpGnaB/YA6NmAgkT35vEM9D+JgjgHdt/Ec6iAc9VWoB+thza1ve+eg1+I7B5G8aBZwraSLEuU58tjk7VAhoHEtWNuOhgztgBPnwx48oUk80I/et5FSkkYBUyP+4xViigEUW+gUZRmne/5BGLBgPdYeQZDDu1msg96tft/3yi9P6XBDIF8MFOnN0ZjYMw+4NhqKGL33VCHePbgZ9Of7ND/cx/k2avV59tZh47WPZDHOciz6G1bES9elHzm4RJggdIIIbHFa9CT10gP9pMnr5kIv5quXFXw6S3ZiSRVvUiaddXEscYYxQfe5PHNp3yeO5+18CVC0k1UltHp06MeuEV/Wp0hj9QIUpX/nNOjDNjZvVIq+wwqzc8ki9paiX4EVyq3gM5/r1SeUconRvR8I3urFUMp0aQ/3GCgyem7B+eXJtufSVYbGku7fctoY3Jj/VgQRtkwqygWCBniRx5bJhO2b9BgDPqJExqBIE00jtIc2hmzYzqjDK2Opt62CKJMWNWLMlczTDG05JihJ9Pk8yBNPm0rJU5Nv1kiZzz9dNpAYiqujt5qOKoPRe2eoGuYjkiD0maggxkC+LBfeD9yXxW146s2l5aOCJOER44UOHYuy5wgLZQUeQVuqDXtVeKqYRXh1VfLXPXLwRjyHkUZAver8uE9fUqiNGFocWiXzz23djk+6+IlIQhJJCTdJLNaE72CjxCY2OQAy1NyMrs/OgWjBKk02QYzza6xMqByHYiWOcClQOV5cJlTA6VyoCf0QZ7dw2Eb5t537W2gDXFv6FiSD/7tBz+Tpy2vDoJXkS2Te+kkEIRJZijkZWZIW6cMB3bA1FiCbYeY1KD3bI5IU4VjBWybWGfrVMzpyymTNdi9tUirU8ELVD/n2ZudEyciHzdCn5sNLz1J/nczoYzJpjbEhjhJ+wbqvU8u+1SlZ0kmkGrAw6+O2uZqWpKnAXW+odF6yABfXg1srXPn2d6mUqVD1cqsY7yf97ZCziwIPv5gmSCyoGCByKyLX829+wKnq4AtGCjBv0sA7y98r+LFw9fyKsBnzRBhrCm5kg+/vcNXHityei6rCppEEQgrEy0NF9tMDg+V/zdVBug+0GX2PlIaLJNlRpQyGUWRoPKIrnKqolJDKmUe1fNAlINc5RttqXre4oMAmE2DEHnEzQJfnKRXzUbtATw1+YyfZGio1VC0T5JMnVgPUjZMdpgciXjhYomFVsL1uwTjFUGUpOh77n7/1PzcqZ8/fvxRjixbPHvcZb1pqJQUb789ZfeWNrZOkCIT6yRp5mfd6to02jbdQBFFg6T/MMCzhwD8SBBGgiA0uQLR9Fu2egKb3oyY3uBWdRUNoc+rVQ/QvfSiGkTs4bElAxtlk3uF5+krOZQKVINizjC4tY4ITMLnHy7x0hm3z72FyBxYdb+oMiwSGlbyvUpgJbgK5kNJgFflwYf02kOps16qMOu0kaRGEfoW1+/2+eE3dfjPf2jjpQpE5t/ooZDD3D8PJqnJ6g/GCIwa8O9UgTLZipSajEfrFJJ8zpHON7BKmQFdkQPQ60Rm9y0Z0BOZDCJ4rhLIJ0FkjQ9hlJ2D4b9mQFXy1T+KDV4A9Y6g6UOQB1MDSASuFuzaDG+5sUCt6HBgm8406LHhmkO3/vz+ffv/pt46drpWlatvl52IKCnQ6rqIzYJKKWXbdB3EOmcXUyw76Ruhe76mpG0mRip0fJcgUMRD0xd6QI8TkeczJW1vwEx7qR4zxF0HVmRcBe7eyOle5O5PTutF8n607v0+zX+XDtJVMu1PfOiBXL16U5kDvGd6c2pO8alvlUBk4EbqAT0ZXoJ5VXEFrt5o/qmVnldpUobEUP2iTz+aD6qbaaJIpMKkkh99s8cXHily8rLOBuykigRBt2+r3KMmAp2rA3sqQSUhyelJrxKrU5P/Pt8wJtkDIKXJwdwb7jXg54k0qFQODbMaHkk4oGNxkjU9eH5C10/ww5Qo6g3+vTo5kaSZdXQzFLgVn43jHr6f+akIKdCWYm7JZXapyJFjBSqF7Ks2fYtGN6SlOm9/8dKlmr60IOi2DV0/oh0btm1a58bdAcdn4JOP2pxbKHP8fAHHVmiVfYFON+VtN7f4ifsCKkWFrZMhtdrgxiVpZjPR8iyM0YSRIJa9NNBgDkwP2L1IrYY49quB3aMk/ajd49cyM8LRQyCX0qBlMgT8HOQy6dsQW0NpQZVH8FjGfPnxMifP9ri3BiFR/eid913yGv6Dfxqg/1SgD/QYw/JUQ68vsqcbyfl4mjUmH9gd8K67upz/pEOYRCAUIImFRTdnriZXhQ+DO8kjtpYZlVQypyppL8iYfto2yUGvUnIwZ9Fa9yJ6zs979DJV3zl3s7eCJInB8xPq7YSOZwjjgZqxx9t6D7wfQSgM77vT5/4bE1qdbGyLpVNcx+PYxS7nFxo8fczm28ddrtsds23aJUw148WYqWKIHqkkpDG0ui7PXdB8/CGL6dr/2d5/h9lxXWe+8G/vynXy6YycQQIkGCDmIEoUJVuyZSVblsfpOs7YM9dhPB77esZBHsfPY4+zZQVbOUdKIikmMWeCBBgAEDk3Op9ccX9/7KpzToNUlizb99bznKebTaC70f3WqrXXekOJKIBmy8SxDFaX9DjQzpO+RgR1z2OhEVArh5QKUSZ6zScKaX9slqaCxaZDu1shjGySVB9+BmnEgx67/76hlh0ehw+Ny1qS/ADZD57KgZ0O/bdeD+u/l2SmMxrcZtZ3G3LQolhmzKHTJn//2SI9kYPbRAiRtSdqGWtwuDXJW85zJykDzIv+qXKZ6KF/6BSD5csyhl++bZTZ01G3KUli4hgR/+kNHT59j8+h01mlyAgwMSadXMGjNIHKyt4miqwNGQA9FhkzMS80/VYlO+RnQM+reNKv6AwAbgwdSvtAz3zGpZYwBjEcm4O5tr5xpcjGmmLADTez72XUF7TmRtiz39AeN5lCzLUT1oxEbFkRcNV5MZ0gYLzW4+BxxUO7fcJQ0uhITCESkkRxes4mDR22jqSaz+EL7DH6Htm5tYJrC4oejNViHEvhOTrb3baizAhSuxa1uikLTYhSxUfvG6G5VKDoaPGxacpBWOs5Sxqjb/8wNOozl4M6762Hq7Uhh8BtDBIf9Ntk6P3MQN5Iso/HgxbFjGgGinfdXODUjKN/c8IAoa0LNLjp/0JecrFzbsst+njrf0wNoXrZRrO/Rxhq94Y+1l+jK4nK1O5xYrJiLORnXt/ij99r0oj090uqgR5j0EGQIHCUIlECM80O7VKD3JAQZwfnWOpZeh6km+TVPBks4hJDYaQa6ElWxc1U9J8AysheaLqqyJ3NTEGpIFm7ImHb+TN88C6DMLFYaOogKiUNhMrcygwoezqx+cDxlMWGpOBLXMvUWLTBtTxcW2HZeoHX7SRIFBP1GGEoYsA8cdZmYcHEdxXXXqRwLZ0vnyr9j3HtQa67Y+l0hpIfUSt3qRQ7Wm7WDulGMaFK2bPfZHrBYNdhly89UQZc7MRh42jKmokYWTB1qyNygXC2fRx6q1VAaX85Yxp6/Gf2e+mhKYlMkTnQha7OA3Cf877QYJdGFnUiswqetSaGHfPJ2z3e+YkiQZx9cxnAh9uTl1zsDAH7a5GsGL4BGBoVcs7HzuGo9M83/WquD5+2Kfi5t7R54ZjNP33eHLqbFCiLRJl0lSQSAltpoYGVAdIUg7AsI38/t7+QOuVhYBWnMPORoBQDoGcTEO2OlfNacoFynganiXMlH9ZPCW6YNHnj1Q2E7HLXLoPdh01OzVs8v98lSm1CZXNs0WaxazDXVtQKMWUXHSOTicZtU7sC68MxdEMD10moFhSbagm1eoTZ6qa0eopTCymp1eD7rgwpuTZBaKDQix7DyCyDMy3liVnFnqMprhMijZhP3u0ys2gQKZM9h31mZj1sz6LkSUbclMmKjsHOf3V53523I7n4t58nny9lcpJUfxKy/MA43IYYGWNtEEiVfSyLOMmT2GT2hNGg1xVcV/GYhUXJp+/2WQyyR4rUFVwIvfkzxUtVbXVOOyIGAD5nevLV0a7OqeS5pFecA/SBT8lgXW1SsUPe8Mo2n33AZb45vErVt45SBpGQxKneNZgi81bJllbngr3/Nq/QWUWPs6ofZ+2LmbENkxzoxvKNtRApiWHk7GlA0WxbTM9XGK1alPwuP3xDl596XZfp+S7PHW6SKsX0osEn7y6RShvbMjk1Z/HsaQvfzpT4meY2CvW/MwwFXiHidVd1GPENil5EyQsxF9o64q/iQhzFHJ2ZZd2kQawM2j3BFx9yiOKs9zbBtg2eesFmzwEHpF6XLjZNVKKzXVxXsGIcHROS5U2WfYHv5JvPXJiQSccy8a+VCX77ImUz544Mph/9Ud/Qx/qxgf0qnWYVY1C19ZQjyc4Iaf8G0K8YU0ZIP+ULd/s8tkdbMyP1YU1bMOR94ovHgsvALF4M2686RFEMFjBDC7Qc1JwzWennE/WruURJPVWxTMkVF4S89rIuH/iCCUWhfRtkNrcV+mZVwiBBkghBmA5yeEyR88p12polMsewZGAy1B/XJprvE6dgJSrjpQgtVk5fDHAZC2KZR5cLOj2DxaZNmgo6PYtmx8VeKuK7IVedH2KaCXECr9ihs4+QiqcPGOw6YOPYaDmiqX3lb33IodWVOLZi/coutlWi0XHx3ZhaMcK8cWeX6bMhT3YF0oFP3V/i5EyBoidRqeCFoyakWrhrSE12ci1YXdEzzVYg8Cv612hJhWOkfaGwZ+sI7IIr8Nyslx+2bTBzZftA0a6lZElWzXO+SP5KsmVNMlS5k6znTrODbgbgvlefGnqlWSqbBryUOqXAtBIOHTN53xd9pluZBEjI/ks/aIdyI4cPlV/ppfiq1/CiTvWBfU5/DtkSaGh8SE5QGqrm6C3nRDHiJ17b4cE9DoemswYYBSLpT1d0zIke/SghiREgJKHIo1AERgZ4W6rMsSszNU3ou4fFQz24maL9VdRQfIrKAa6HDrGhJ2q9UNDuSaQ0SZUgiiW90MS1Y7pdhyVT23KjIE60uD2KJSuqinVX5ZwhrZVVJFywKiVJEkqFHifnIx59pkwSwKPP2xROuJizizZLLRPH7rEYKI6dHCUNbdJUm8RfvjFj58mc4CQySy5o91JOzyUstPUvI1fjOFl6gmeD60h8dxCD3U9OsPKsSe0BaGUe3Lma3bKSrA9P+lTWHOT6gJj2D4oyB2v2/wfeIANSfaoGMBqAPcUwU3qJ4B0fK3D/E27WlmQgYCg2ZagtWb69fOlD5Ys6la+I9KF3MhuHfiUfUr6/qBd/kRJIYsSS63YG/OxbW/zu31UIkhzgAkhg2Wx86BvNVFepkCANEkMSCoOekBrsUmBLcKXQnpDJwC7PTjQPPzGzbaO5nCqt3StSRD42lDrnE/R2PI4FYSwJbAPHNrXRkpGglGCh6XLyrEurJ7Jl4NAwQuqWtuDqQF7Pilgz2mW3K5hrp1QKUCuDudjUAD8x49IJHC5ea1DytPuQaQx4FmJou2iZ4LuK+WaP505GpMrqu8g6ed6NNRTo1M94l8vSyhw77UcK6rCqZMgHMB1StQ8tZbJDoZG9b1sxhpmATOl2FIut3DJhQMyRAsrlFNtRiBRUzEB1bsN9jzl89l6PIJDgDf3Ss1c+wnpRW3Lu++ccLvtOr18Hvocf68MVcNmfWVb5c3ZLBtZM7uZ4KW+4rscd9zrc+ZgHrspE4AIRA6nAdhTlSm4BlH/jupI3OwZBy0RJA2UaRKZJJE0CYdA1tL1y34/dgEhmT+FUaJahUkMrd33j6AdGOlQYZL/FytOSo0h77eRJG54bUS4ucOvDVRaWHDxn4KYwPHqU0sQ0TVzLpeQXWFGJ8USXakFRLYG5/1TM4kJKo2Oyc6ugUkoQ5CO3wWNSoU/RtpniuTH1co9Ti03ec2cVT1l4lm5H8jg+ezipzMnezzLePVtbuDlWqq10hzwAcwdXy4qHrBv0lCN/3zAilIgRRsqeA5LnDhtYtsldTzg8+JRDxNAGLdWH1je9ssfW1RGrxhN27ghxpdaELrUMvni/y/7Thj5tLZvpiWXtyPB1Lr5fNO/+Dl2DHJ58xJgfRvVYMI1g61TMa68LeHyvxVJbH8hcATsvDVg1nrBldcSbXxFgGmro8CdIBDzwlM3djzvYtuDZIw57XnAQ0iLEIpQ2kWHSkyaWIfFMRcFQuClEJsSpBnrar+JaQzR8x/ZpCZlqKU4lUaLdZ6NE0ztQgoIX4rotHj1kcnZWMl4C39LF1ZDLb3YhdVuFgGpRsm1dyoZVAfWRLubrrwp49kCP9zwXII7AjZcuMF6N6ARSV8AUpuoKz9FknDBKaQchjx1M+ezDVUTiUvIHvbZrD2dM6tQE19FtSQ5sr1+9B1nvzlA0iG1pLnaeMW/bIZYRoWTE2XnFiRnB+2/zmV6yOXjM5shJ7TDVSyVhOlRGlQJ05N2fv9/HVAm10YiLt4Rcd1HAW18V8Mm7Xf7xk56uNsYy8siLADz4b7Xs/32NdvtrX1/hEyybqCxrZfK/I170KfQTS/Hzb+5wZNrgU3c7/PBNAdftCLl4S0htJMFMBY6Q/c3o8NNi/U0xP3RjhDQUR04KDh6XnF0yee9tBY6ddZibc4mFS0/ahIlJ15QUDIGfKGIzX7sLBqzAdKjVSvpMUs0g1KzEJOMnRYkmYyklsCyHWqnIf3r9Ip9/pMuugyU6DZs0kkgBnpsyNpIQp/ow3QlgqpJy3ZaU8UqTR/c7dNMqZhBCrQivviSmVknZcyTls/f5tHs2kBLFEd9/XYuVYzGmhCPTJrc+WqXZ9inbJpMlRa0AJU/HXjtO5hiaPWqGk8rcrCVxnSFwW3FWxXPf7YH/tucGGDJksRdz18Mmx047vP+OIsfOugSBTapMlKEfpQiJMIaTxnJaXgppTDeNII1pnjU4cdrklvsdbn0k5MrNETLKbop8dDGEuHPn019/qf1WUf/VP7d+sqj+aXbZralAmYqxsYR/+h8NbnhZoCdLESSxSZKYdFOLJDGyg2rek9M/kKdxyoaJlK0rExQRb71hnmMzkg/d6XLktMNdjxaZ7Xr0IpfIsuiaBsVUUUh1LOSA/acGEsZUy+JyOnWSgTxKJGEicCOZMVRzTWiFi9abXHV+k0bvNLc+anLsrIk0YPVoyg9ckxCEDiDpBDGfvs/hwefrOJbLpo0m1UqM2eyWWGr3mFmA42cNTs7V2TDqUHT0N3VmMeWTd1VohymGAM+WVD2dqVPx9Hy74Eo8V7cjtiWxsrW+k8WBONYgAtvNnP0dJ8G14wzgA2C7dojn9rCtgNmlmMf3mXzw9gq3PFak1XR1k29YSEdLx0S2jDByEhfofhQyAbQiTRNUpHNOTAAAagNJREFUGkISgFCkIsWSCWsnE37iTV3KIyl//aEiJ2YMPVbL5UcZtNNzlEhqGEzixeBb9oe+HXgWw23S8Hw7B3o6mBBZcHzG5K8+XODT9zis+Mk2SazHf3FkESc2UWwTJ2YWkW5kQgM59PWypqdPc4gxZMLGqZjf++kerXaH2x9v8cEvFXhiX4HphQIdwyN0LXqpoJQKojQlyai3iRqAXAM9+38ZFTaKFVEkCW1BEAl6oaIX2vRCg1bHolzwKRUC3nxtgOeEGFLR7rnsO1Ll7LxDmgoKXsq2lSEVDxaasGLEpFa1MU83Ny/NLqjbHLv8+tUTCTs2Ghk/WqGI+cxDcGbBYE1VJwJ7dorn6FbEdw08Rx8icz/wfARoGkOG8nn0tZXiOjGuleA4sQZ4Znrv2iFFr4dj95hpRNz/uMkn7qxy564SC0s+uDayZGZml1oyZufzWaGTIXMQ5D/MSOlZbycxCeLsUawSZBJz1SUhv/XTTTasjPnlt0VUfMXb313m1JwAkaJbm7x3XK40yRuT4ZHed6xS5yX5RbdXPhHSh0UpNEPyxIzB77+7xHs/6xOGgj94l2TDioSXX9ojDQ2i2CaMbKLIJkp0HE2S5kSujAQHfQV8ztuRMsUMY8xugm1HvPn6gBsvWeLuXW0+cZfPvXtKnF0q0jA9QtckSCVxqvCTISF6xhpMMjFFkiisRBHHKaEhsUJBN8tNancFzY6J75oUXAvfdfHcBM/W2PGdiFNzAZ+73wayUAPTw7UTVo8LLt1Suu3C7auWzEce/MTZIDb/YEWd17v+HAfP2ASRxDIVYaJ4/phN0ZFMVKDgyiw4SldrNwO6bYvMf2Sw0jVkHuOdx4EMZ7NEuE6Ea2uvbdcJKLhdFtohdz9k8MWHqtz9RJkziwWEa2OVTWxD4Ej0y0ix+i62GTd7aIShcsZcqvSjTwoWkXSVhUokq8Zifu71bdZPxiRtfTL/ye9rEyXwe39fZbZrgEyBpA/klHMVOAO4LSviy8r7N3+96PMuM/NRmTYxez8D4WxH8kf/XOK9NxcIhQEFOHLK4B8/W2DD6oiJoiBOTJ1XGtiEsdUPhR32/hborMqcQJcv0vIRrRUldAMX1w5543UB1+5oceeTXW59qMWdu8pMN0tEqUOQGJRTQazSIaes3DwoV/WkRCZZeG5OwMs83E19fstHzL6j8N2Uop8wXu+wbcMCR2ZDkkRb+wURvHDKwnKKHHzhyT/Y88zjZ83pJX0g6IU2+49VOXxa0osUQaQQSGqeYLwqqRRNil4203YFnkO/7bBM1W8PVKp/SDJT1zhmmh0kc9vkGNfRFdtzQop+B8/vcv/Tgr/+aIn7ny8xvVhCWA5O2cQxxFDglLZdy6mdMo/wGFqZDwCojWmiVGHHesoQJRIRK378+1r8wHUhUdtGIRBJiuUk/NirO9zxoMPND5qkaaJZ+yrVzL2XAPeLa+q3tXi/xPsqq+o5yNM+9UDJlAd2u7z/tiJhaoOjlZnKV3zmnjLb1kX82o+GJImpI0B6DkFkEicGSeYOnE/Lcp5NvgUe0CIGKijTSAhC/XkKXsAPvTzglZc0eHBvm7/6aIcHnqrRcn0ixyZMJXGaEqd6QZQM9el2qj1Vcsu5NH/Kyiw0zMoncPqt7xmUfIN212CibvK6y3oImRAEBr1IsHpM6uSQgs4AMqcbCWGcMl5Ouf58wXUXCp4/YjG/qLnaBVfi+5KSJyl44HspvpPgu1lFzmbWSkEvNOkGBnEikSLzgbaGqrat/bUdJ8B3A2yrw4nZiA/e5fK5B8s8+0KF1PZwiga+Kfp5PHngVM4LN3POeL50yWb1w1DIH4lxCm6swd8I4aqdbX70VSGkHr3IyH6RCUrFlOyI3/mZJoenLfYcNlCGCSpBKVMr3Pu8bfUiUH/Th9GvE+3LuC+5iU7GpzHNmD2HTH7vnRWaga3PKdLO1vOCIEr4py/By7bNcfFag1bXpdVxskjInIK7bCreN+jRoQZpVlT0YswalvqZ2l3YsR2KTsD3X9lj/egiX3iwy/vurHJ0tsx84hOkBtU0HcjOcoJW5q8iRMYVDwXdSGSLQ4Vrxnr07Ag8W+K7On5yviGZni9S8ApIAXNLIc8fUzhWzGuv6TE5Ar0QzJUVA6UE0kiZbUeYnR4LrTITo0WqRV2lPVdRcGMKnn4VvVDPKR3tNGtbAQqYXaxxcroGSmCYaWZ2n+A5OmRKHyADCl4H1+nwwdtN/uFTdZ45XqGrCthFi5IpKJoKz0j77rJ9cA/zxocUQMt8uHM7hiFr4DjVNsyhjPjVHw4YKZdoNIzM7jjBlAlpGqGU4MItAT/0qjYvvMehm6YgM1szvY/rj7mW+728BCi/VbT3F0vqJV9y6BAYJIqP3Vlgzz4fHAcMGwwHIU0MITAsxYkFlz/6kMXf/kLE3GKRds/Iko4HdNzhJ8bA4305137gTpAv40xsyySKLILQwglstqzusemtAa+59jR/96k2H/jSKK20SJxaRHmEYW6ZoRRYeksexILjiykzrYBUCWzTwjJNCqbmShXdhIKT4rvgO3qw4ViSSkkyMRIwMdGDRNDqOBw/YxMnKeYP3ODj2AbHz7R44EkL3y6ybS2sGg9wHa1A950E34soej2Kfo+FVshiJ+Jjt9rsPe7hugXKjmDDiM/WNTa+m5lpZuD23QjP7eG7PUp+h30nQv7yEwVufbTKdKOMabuUbUnJSvENndKWR3EP+xXmblfnAtzIVmTDv6JliwBgrCK4pG5QMCc4O6c3oXqZFGMZMamlpwhGmPJDN/R47xdDDpy2UUq3KYnSj/H0XOy+ZLvy4g76a4G5Dyzo99pkHiCcU71lbkstdO999IyW16WWBYYDhotpmHhZsrRrgCUNonaNLz4AIxW/H3c42MGIZf8KKXSKshRDssAhlwLLNPrWd2Fk6mDXWAM9iiw81+bCNV3+8KebvHxHj7/8+Ai7j9WIXJc4laTaDQbQAmfLFNRLBldenLB6okvB6+L7IXtPmHzs7hLzbY9Dp2wqrqDsQsnRB07L1HuX+YbL5tUO0gw5NDtCnJYQJJibt/0Anl9Aus/SXvwC5XKTp4+A6ce8enOAbafESUirF/K5RySNnsFj+3ye3F9E4uCbkrqnCMuCirRZqJq4doQpdQXXAO9S9LtYdptnTsa8/V01bnlkBFyfQsGkbEHBTLTh/YvSHMSQIEL0bd0GABfL8tpzfOUtg0D/Pc81mBqVzC5I0iTInkD6oJtaMvuz+pG/eqrLz35/i995h0s3TbIqrlUwyyr31wLut6FnGbBuh/jnGSvSkCmhSHjnzSVOnHZRpq7cpmHq4C5Lxy76tqLoKOpFybHTFkEoKHgS0xiAHPoDI837EJqWY4iByNvou4TJIdanBrttGUSWBnoYm4SxRRDa+G6PH7mpzWj1LL//zog9J2ssqCIqk0UbQvvASwmVkmSkUGRFzWK82qVc7HDRuh5vu36BJw/M8/h+i8WuxZcfK3Jk0SVMLDwz5VWXtli9IuKxFwqYqcmPvvVKtm/bTrvdxvRcC8tyGa8n7BEN7nqyQqdrMlGOaQdN9p3u8YE7CrxwssLxGRdik4onWVVSlBxF0dV02HrZYrxm4Fia+WfbCa4T4bkB5UKHVLT4h8+Y/OMXJzkyW8MsuJRsQdlS+FaeoJYlnuUJxXlcyTIvwtwvJa/iA5HrMMDzVTFC+xt6jo616/QMLNMa4C8Dq84WSjGSBCuJeP11Pd53a8AzR1ww075j7nAFXwb0b7EJf6lxev9Y0eec50p+Xb1tO+b5owafu9cnlBYYNtIwKWTgLmTgLjiKogeuo38mnZ5Gspk5kuXz6fz773u99O30VBbLqBiYmqosRCpLxYgldjQAehRrw9AoNgkjk+sv7PD+353nXbf0eM/N4yx0y0hhZIUwU9xHKdNzIPBYbNpUih5FL6LgRZy3IuCyzT3iNORt189x8LTifbcXOTFTpuq7rB13Ga0k3P90i6V2imlmNh9xIrBRzC1ZdNpFbrrUxLRiziz0+KvPuNz39BhS2RQsxXkjmgLrmFnYa9YHFT2DaslkpALlgu7TfTfCd3tUSy0ULd5xs83/+sAEYVLG9y0qlqJspXhWHvWdh0yBZeXhrcPWybmp/bmGQLlR0KAPz52PkkTPww2hK79SZPYVRpbCa2nOYH8UlmAYJnFiMVLrsXVNyDOHE0gTUqmyNkUNPdYHwP5qbcvXh/CXWPovo+fqg2V/oSNTEAn7jlvMzTtZ4oSJIwUFI8UzNGXZtXISnF6+CaFz5sM4M91RmledDHHS+3rZofQzsx8do7LfR25DreMZw0hlRDmJY2mT+iiKiSKDKDbwYpOVIx1++0c7mOIM7/hsynyniiEMbCPBsRTNjhbWgB5WLLU8ip6D5yT9SZxnJxTcmJdtCHnZf+py755Fnj1c5JNf9rBNh5GiZLSii5llgqmQSMOZBnH7qhX+TYYxw0PPW+w94hFHZS5ZrVNrpRikKGgut+abuK6k6AnKBaiVYiqliFIhoOR3Gau3SFSLv/60x599bIJUlqh5BlVbUbSyqG8rr9wM5chnGTzmANTLI0qG/cKX27flFUkT6wVBODgIppn9cxAJrNAY2LrFZp9qGyc6+KnsSN76qg6feqCi+/CsY0w5x0vwXFyrbwzfL2aT5Cv4YUqu6n88Hw8aMkElKR+5w2MpMsGykNLMmH66xXOyBOdc3pWLgJH6yyUKwiilGySEkfaq6Vt4LDM5HQoXeFGKdB4Ho8FuR4rISrEtzQ4MY6NfzeNE5w392g+1McVZ/vbTMNuoIqWhmaIyRYqYNFUEoUm7m2/IJZZlaa/B7OmRq+s3TfRYMxaw73iL+3cbjLujmKZxe9F3pqOwi7l1y2Zuv+2jR23L/RvXX3HTY0+1cWWR1+xUlAuKTk8yu2hpSZIxMOcxM4W062hObslPqBRDKqWAerlNvbzEM0e7fObBAu+8eYokLTDqCyp2StHOKos99AuwhsG9PLx1GaiHNqX9rExzyB7Z0EuKMBScmjVotjM+t5RZtqcgijXRPoy0Ybv2tJbEplaq65Rhg9FSxq1Vg3l4uuxQNjhSvvQgJbNM+0Z6k3PbE/KqOlTJM5AjFTMNi0RZIExMKXAzyV//gJ6nyvWToHXEi5X1va2OYmYxIYoSLc1bdt7JQn2HM4+Gw776vweBFSlsUxCYitCS2JYkjKWu5BnI40QSJwaVosF/fnObgnuWTz8QsevYKEKZQEKqUu2fEqa0e0YGbm2hLfvOw5qrMrcU0w1dyr7LRD3lwjUdRienWGxEf/PFL91z9E1vfIvWfHR6OtEqTiQXrA9YNdnlyHTKg8/51NwCEzWLkg+unSKlXrWCrpqunVBwE4p+RLnYo1bqUK8scc/ukD/5QI0njo7gWi5TJajYKb6dV25NrbXz1GErSyLuh7YOJaQNZe2YwyFSWVKD3pZq2q1rxxQLIZ0g5MkXiswvuFSKmoFmmjrbM45lZh0mM0s5SWIa2do6D38yWDURcuMlPe54vADWIOtmELyRL7a/TRPwvMXqtyd5Rc//t+pXdMtOuGuXzclpG6SZtSf0MzsHqRliGTgtU2LbAt+FainFtLo8tD+l1zOouCoTmQsdJ5MXHUNlfzclDx3IjVfzINdBcVKEtsKOBEEkcew0A7ocVPLYoFQw+fkfaHL9zhne/v6Yu3aNk6Q2UZISZanIXqC0e7FecpBm3H7HlhQ8gzVTPaqleR5+3uTJXUWqvsENozFSdREqBDJR08jkFhzXY6kVsmvPIfYcSphdUiy1HeorLSZHEtZNdfDckDAStDouvdDElCmem1BwQ4qFgGqxTbW8xD27E37nn8d47ugIZd9i1E8pO/rA42VDe8fSLzsHtjXIkR+EuC6v1rnXdw5uLXVL+72Z50aU/B7IJu+90+a+p0usr8c6VsMQWJbM7MMyW7n8lfGS+znxmT3aWF1x0YaQOx5Oswqulh8yX6IQf/NQF4gXDyGz9kQNtS26DzeslKcPOczOaVMiKUQWC5ODe2ghlqng8xbDsaDgKWqlmB2bWwi7yV9/boylnsOIl+Jn7E87GgrLXdYepkMZpIMK3wd5nMW3W4owEkTRQNAQxYYuKol2y92xtskf/OQ8v5mk3PXUGL3EpRcLqlFKwdXF0JCagNUM9Kzct1PWjismR2xGyjWuuzBly2qDOFJcfMEKLrzgPHrd3gDgfnGCC7dN3fHMk3f9ybqVzn9fWEwpuA6rxhM2ruxQKTc42wh48nDCsweLfM/LLKpFgWNFFP2AYqHLSKXFXKPDH73T4fOPTjK3VGGiIqm5KSVX/9A8WyfiupYYeK0Mg3v4cJnbSPQjSNQyQbKdJydnFADfjSh6XcrFJv/wOfjQbeOMlU3COPPA65s9iszUMY/LyDMeX2zJANoMPidefb0Tk2+IhvL13hHDW8xsRi7zcUeqN7LW0GJG9h3CxJDcUPZbC8fWTz3Plvzka7rMt0/zjk+vJExsqm5KMc4tGjTVwTZzv/W8B5eZnUcG+KFM0vwV2AI7A3kQSYJIty15bx7GBkFosGaszV//YpNbn+jwV58Y5+hChXZRMhIrSq5O2quUFG+6aZ49h1OeO+7zzEmXk/MOm467rByV9OKAWNmcPL30Jze88sI7UMcGAL90+wr+9//57Y6U8kirq1mE2zfGjNUXuO0JaHQEjzxTp+KarBoxmVkwqZcDKsUe9UoLz21y22MJH/lymTueGMO0XKaK6B+Uo/CdnLuiJWyOozdQtqXBbWcjQV0p1BC48x/q8oQG29KazTwW3HPC/sRm/8ken3hwkkh4FCy9hdQOuJq9pkENy9IKEkGiZDYlGRICIFE5kTlbTfTJ+18Bp8MNixDia4J9OfP8pRWcYlm7ki+A9FlDCAnCyDxMBolv+jWIhZGGduztpzFILSHrhSYq8XnT1Yvc/ugMzx0bJ1QWcaIoJIrI0ul3oQV2PGzSlDCIjxmq7NmT0jQFdqSLWGgJnCir5rGu5mHWKsaxdsutFC1+4lVN1oye5kN3t7n90TE6kctUmjJeUoyVbVw5wRuu7vDjhRYPPN+l2YE7Hyux0PHYuEIxVodG88yRv/273+7851/8/QHAAb7n1T+Abbvsf/4+Xtj3AJ96wKHdKbHYMPFtyXkTkrGayapxg4laRK3UZby+yKn5NnffZ/BHH1lB0C1RKxjUPd2SFByF74o+vbYvX7MMbFv03bL6Ya/WwBfFyIEtB8b1pjEIjbIzcDt2hOcElIstDp3q8l/+coR9R2tMlDNxvMglUmrIv3wQgDqICjnnY6muQqumEpxiSpC+uOC+ZPEVX+sPfBWwn6PFfDHQ9f80DUWnBcdPGQSJ5iqYgMFwVtCAo6Mze8Qyo/7MrYIokTTaLltXOfztL83w838hee74KLGyqKZQTCSRqWmt+cHV7B/20qwdGgjSNcA10POnc2BJnEgQhHqClVfzKDKySi51PItvc/2ONpedt8SfjQTctqvOsbMVpBBUFlKefsFirlFlol5i2wpd1HasS2j2Frn9UYuNmy7g1a+8jk63B5wD8NVTZTzP58hBi1MzNjvWuKjUpNU1EQJKBclYFVaP91g12cBxFnnuRJfffV+Vp/bWsV2bFRWouNoLpeAIPFfgZ3zxnBGmpWyZGCLji+ePP2soDa1vXC8VhplmrlaqT/KxrRjH0lzyYqEDdot33Vpi94ERnIKFn1X7PP1MDQFouUWaGPpYrmTXKvWCI7jhyogttybsOQzK/vr2OS8pTP6Wr8FXtUzF3uMG9z7i0A0NhL8cvMvU/8vMQYeiDTORchxLgsii1fW4YEPAz33vPP/P31s0OhViT3NHCqnCSXQlHxDechPU3Mo6W7kbAjOkfyi1M0ZgEBo4tswArl9hpN2H9UtnEHVDi7Lv8Hs/3uJ1V57hd94XcuJslb2nbbphRKNlMD1rUCr4SOnT6sakImVlvYPne2CNIZNO/2fVB3iiCoRJ8eBYrXzo5ZfKDe3OIgvNMkli49iKsVrAZL2DaTd44UyPWx61uPvpVSw2CkxWoWynFDJRcQ5uzxnYRbi2xMu0mZpmq20ibHMQo23mUX95/JyROcYOOViZfbV9jGOFFPwuGB3++QsOn7hvhNh2Gc02o6ahH9Ny6BG/jCA1DOxhY0w1+P+iX1WHFDQvgd9lWP4GgX0ub+Zr3Db9w6YaGrOcq/w/19Li3AdL7ugaJxpcvcDB7fr8wDVN9h+f4Z++CO1Omdi1CVJBwQQ3GfI07JPe1BDIB36T+RJIAzzTBIQS2zZ0Lx7m4B4CemjQDUy6PZtmx+P8VV3+8Zfa3L27yy2Pljl6ssDZhs1kJWG0os9ykYDTzRjLqLJ1e/VQreQcbBC/GOC1+gruv/cLtxtm+UOzrTX/48zpU8Spy+qJhI0r23jeEs8fD7n/WYMv7xphsVlgxBdMjKbYpj6MOJYGtfZB0eD2XCMjrWeiY1vhODnTcDg+O/c9SYdMfdTAnUoO2R9nYmTXCUjo8oFbTP7wvWPMdMpUCzKr3vQ548skX2K4Wg/Vxv7afQDhc+YZLwluMfQ3lsnKXlq//JURzuDp0HeyOuf/L3+7/Auc+z28SPU/9IH8BtYhBXqyEUYm3cChXgn5rR9rA7P8822CVlAkTm16icQ1tIrKkmqQrtyf3JwzwRniE2n5osCxtLIrDCWBYwwdPHXbEkaSXqRB3urYLDR9Cm7E91/W4drtLe56ussDezz2HSky17LYOCFYPSkpWCmrVo+wbmXxQ48+9vDtr77pNS8GOECqbBzDvWW66Xx/BBcVvZR1U12mmwt8+laDZw5V6bRcRosGW9frBUIe82xI3Xpoox8D3zF0i+IKfEfhOVpsrNeuerSn24yE4VCo3OLYkGlfsdLXB/bVKzG2FVIqdPng7RZ/+N46080SdsGiaGr+eJ5wLPs8lcHjuc/WGwLQV6K9Dg54A9C+CLtDyB9UzK8oWfgKNNuXkMGpoUOtGgCfzBQI9dJ3jxj+YkOgHoA7M9PP7Rpi3Q8HkbZRq5Vifusnmsy1JB++DRLfo53a9BIjO7jmVnZaqGCwvLI7GYffMdRQ8dMF0MnF52FKGBpD7YkgjCGItFrMkIPzkmWWGasFvObiNlef3+bpIx0+e1+FIzMFqmVBsSQZq8VPlwvFW3pBZ9nPYhnAr3/5TfzCb7z9QYV4oiLNi1bUu8x1FvnHm30OHS+wqm6wbYOkXpaUCtrEZ6ERMz2vaYuea+C7BgXPyGwktMTId7VAwnMSrcnMtZiZRUTJD7WBT2bok6qUNFHYdjb7zSpOEImMFBXjuSEHp+EDXypxZr6IKDp4BrrKmENm+sMBUcOMw3Pw91LzC4EijSFRog/aIcuUZX/vKxXvc6vnS91Uw2+X3QRK8GIqq/6YIUEYg5r/NQ+/MHT2GOTd6CmSJEp0glsUW7S7DhPVkB97dYtHdlscOpOCG5EIkwQJEfTjhoVC2qCTDWTmXCWxTKl52xb4ZqrFK3Zu6SfwHJXFmBiEkco4K7I/6bLMlOl5wfySwrVNSgWLkarP1EiZ689fYrLS5Z2fS2l0i6xeaVEvNZ44cuBTD775bX/ylQEOcOl560BIouYiB051OftsHSOxuOY8g5GKQb0iGakoJmoh1UqTLz4sCWOPoi8peibFgkHJg4KvB/UFL6bgxviunlV7jhY9+G6A7wVAyBP7BK0eWfshOLMgOXLa4OItEbaRksaKopdyybYYVyikkXJ4WvLb76jx5V0l8Fws08AztDZvWBTRj9kWL/0arrqDRYrmP/cCuOshm0MnTLB0Tc4N3fqussOf55we+Cs36fmHxADpOejPORcMwmEHB+AwkqxdlfDKqwL2nkrppBpvwyl4avjV/5xDHJp+JIrIVugDkIexRavjct1Fbd7+8wv8z3+Aw9MuGBIX2Lm9R8lLSGI9HNixJeHYaZPpeQPDFAgpWerZPP68z5JyMF0T3zEoWYqSrSjYCj9M8UOd2xTGKXGckiRmFoYlKHop3aTNl5+RjBZsxiuCWtng1FmPI6cdxmoh339lyMnZkKV2AcfbQtIPc/0qAL/xhhswDCO89ZZ5puq7magmjJWLjFZgpJIyXu8yVm1TKC7xifstHnimxsqyFoYWCwaVoqLsp5QKCUUvouhHFLxQbzv9DrbVI0p6PLZfcNvjLu2wxMNP+yy1bITUSQphKuhFULQSBAkqDnG8Ljdd0eL/fnObQkHyO+8o84k7i4SmA6aVCZIH8X59tU/WnvTjrc8FZF/PuXxbKIWWu52cMeh1JFRE/5EshBoc6pa1PV/hxuHFT4hl4FsGQvrayBdNd7KKnqSCigcrxhJsmdIZWkK96GnQJ4VlwV/9nB6yoNlBFU8yrkicaJAXLJM339gjYZH/+bcVCkXFf3lzi1ddHuI5BmlkoZTEtQVBpIiTqO8RudhS3Pe0RS8S3PKYz6MvlOi0fOakRc0TlENFKVT0opQwRjMaU4XCwjIl9bLg2gtCFrtdPnNfkWNzHhPllPFKTL1sUK+4nF4SxHHM9ZdNcdmVrwmTJD4Xzi8GeLVao1op/nqxvv78YyeOv3yq2uaizRGj1ZDRapOUNg/vU3zmgRLT0yVWVSX1iqbL1kqKWimhUogpFULKxYCS36PgdbGtDtNLIZ++z+HDXx5jtunTbrsgTW0DIcBIB8oc14BuBL0UenFK2mrzvs/YTM8ZXLQ+4uO3+ISO3kPLPP1MLlf1L4v6k0IbQIrMBlkObQZfpHnMKrlMMQz6sSB5Ns9LR3eLlwT3uaSpYYSrF7UpOYgVX9lwM1tCpTLLHE0zxVFe5QecmRfFqWc7q+EA1iQZVPIks1PLN7lRbOKZkrd+T5cDp0wuWR/xmmtCCH16gU+YOkSJQacnIYsiEan+nmp+ypuujTDMiDde22K+ucjH73H5+L1lFhbKLAQOFVtSD7XAPcyCh1MFhrRwbQPfK/PDL0+57sJ5PvOgzaPPFzmx6DBWTBgrJ1RLsH2jywXnrblnbHzlr4dB62sDvFYt8c8f/2ITZew/07CuJRHGprVLdKIG/3iLwf5TRY6fLlA2TTaMCibrBmN1i9Eq1CsxtVJIpRhSLXUpF9p0ww73P5vwyfs8js6M8PzBMoZtUrAk1XKmu5SaxCWHqlDeJ0aJYCmUTLd9KtU2b35FjxX1mE9tjnjmqIvW/i9PKcjJ+mKoii9rU7LZ+MDrO6/KA6W6kClKKO24OpTyYAwB+ytGmCwb0b3ENvMcLjnngHBZ9PlwBU8HrrIgECr3b0kzc52Xnvf37dLyV5Z1mqTLF1t9mkL2MZRACdh30OLeJxwOHzG4bKvCswvML5XoBo4mqvVDsvSoVZ+TBjsLx44Yr4T8tx/q8r2XLXBibp6P3lvm8X1Vjix5jASS0YxOkSRx5pdooZRDGNZZNe7wK29scPjqeQ6ehlsfLTHbKbFtfcq6qTSZGE33nzjwyebqzW/52gDPH2thr/0LG6ZKl9W9xsV3Py24Z9coUWgjFWwehdGyQb1iMlo1GKkoRiohI5WAkYrmpSBb3PtUyvvv9LjvuRpxqD3HV9agaKe4Vtynceabt/xrp0O/5EQpKqFCpYqf+N42b7whwpUpf/pfGvzff+HwwmnA0jfHsAhZk/bz9uTF2zxtkp+b22R01CyZTUgdh3J6VrDrBQdMicgAnmdj5lYVL67mQ5W8f6h9cQkfbinSfCzYbx+Wv4YzelSqKQVxaHDp5pjRkYils6kWV2cc7/SlXumgRVmWFZ/HamegVkM3kGUpDp2Q/NpfVrn3yTKOIdm8dokfu9Fneq5CLzSX5aOq7C1Z8dBayxTb1GY9nhOxbrzHhes73HjxIg/tbfDeOyp8eVeNhY7DeFEwHmq7wChOCSKLTk+7H4/WfCaqPSbLES/bGPClXV2OnfFZ1x7Zs9To/EK14r8UlF8a4P/XD72WL93y0WTt6Bq1b+8R5hd9rtsuOXFW06PHahb1ikG9AvVyTL0cMjnSpVJsIY02042Azz3i8O7P1jnbKDJaMqiVFSUnI105A4WJaYp+0rHuL1UWFKt/+Ro4ku3rE15xQYHWgoRCh4s3d7jy/C4vHE+X9bjinBbCWNaHD6r74P2BPcIg3FUhjYTDZyT3PO2CI7MUhDyL/dyVuDinog++3ksdOF96qzrUYuSgXpbFM0wl0JvB6y4KWLci4uB0rJU5WU+dnlO9h0G+rIoPHV5zcA98ChWmlfDwPovd+4sou4x0be54osh4wcJ3vOzfrjKJoOib+aQqj4ccsD5dO8VzYpptB9/1KPkFbriwzY4Ni7zr5i6ffajC2UaBRmiz0JFMBintXkCrY2aR8jbNtkmcRpw4W2S8GLJYkBRqm9Xeo0byljf94NcPcICXXXYNvV7vo0cOH9hy8YZjhd1HLaLUZvWYzdpJg8mRmJFqQLXYY6zaYqHd4e6nUx7dZ/HsiQpPv1Ch4phsHUspuykFR2XbTe1v4dgS25ZYhuwb6sepIooUUazjvhFgmZKSb7JuSuFaI8wtNVFIPDdhx3kBxYdDullstRAsO/zllVvkftJyAGrZtyZTLE9nGxjruw5IyyAV2gdRLzjU4MYR577O4XswIFy9VKj3iwGeg1plVXWolcjz6ofCp8JQEPRSSBOUSomV2Y9Qzx2kBunTavA2HbQpg1SGQaKbQm8il5qKp5/3WIoKuJ7LRAHitsOjz5isnTIo+WBZmYoqgTAWRJEmtymBjkWxRJbGp/AcE9+1KLgOzY5Lo+1RLvT45Te1eOUl8+w9uciDzxd5fF+J3SdcxkuSkULMSCllvGYQxwYrJxKKhYBnDltsWTfW3nnpVR91XfcrwfgrA7w+ukrd9qWb/2pq1ZZfePjRkwWROJy30mb7hpg1Uw0QXRy7R8Hr8PnHDW5/0uPJfUXmFz3KvmRDVVF2Ez0Ld0TfsMXL/Ay9zAzftvTMGrRRS7sLnZ5WdUgJjmVQKghMM6HZMfFcG9d2qJQsLtgQMFKIOb6o+r3usrZBigHhqG+aPqi+Rh/seWBVnvWT0ItSvvyUh0r1UD0PahocXpdX8eEbaJjklFfv/m50GfdlsCjTwM4Ni4Z64mWEsAG409RASoNXXNLjyf0RnTQhUubyNiVlWSsyAHfWCqVomnD2ft6agN5GzjbhuYMuvcBlvCCoOgkVX5GkCUuthFSZOJb+9yYxdIKUTjchCPVT1TByZ6p8AWjqPYmbUPAM2p5Fq+tQ9Dw2TvXYuaXDq3e2eHR/h7uedLnzyRJx12IplBydNZhesOj0HEaqsGIkYPv56+eOH939V6+88Q3qGwY4QGV0I8likwNnd3Hx6ogdm9qEqsHuYyEP7DY4PmNh2lX2H/dJQ4eSI1m1KsU1tVLadcB3NLB918D3DAqeVpMUPEUh22zmDlnd0OSF4w5RLDMeSi6K0FUiT06OYpMktkjDKONrDwtzOQd4g8TdgY/KUNXOjW36H9PVu52m3PmEi0othDR0Ns2QH+JgiST6b/O+f/D+oF3JC/jwKK8PPqlbkySbaiRSLafyGvmUQ/SreJwaSGFw486Qd3wyphMn+gk4lHqWDC90VG58qfo+gflTI0mXE8/yRsqQIG3Nj/WyBZoh9c0QRSlBmKKU1EEJKSy1Eg6djOhFWg/q9R2psiWgp7FQ9AwKPYNCVwO96VgsNDxsq0SlGHL1li47N3Z4w9VnsW04Me1y/x6H2QWHR/cVuXC9yctflnL15Wtw/cpXg/BXB3ihPBI02+3/+D1Xrf542n2icPvTsPeoi5GWcCyD509AEgnW1mBsFAquZpWJ7O51bS0aLXgmRU9Q9KHoa/1mydcbzJFKF9PqcHwm4bNfruJKg4JrLrOH6PvWZaMs7aens9pVNm7Ia8+54NY982C9bAxV7jw1Oa/i0tAuV5YZ8+BjJs8ddcE0NQ1BZDP2DORyGOR9zvXAamF5lPVyTncObjEEMJnomyTJ25P0HFAnMjOMz9/q1fp5azpcdXGHzz9SJEndDODZzdEHuuq3Pqla3qIkaZ6ivDz3h2zahDSwpOxze/J/R5rbH0uFofRZauPKlAu3zPD+u2wOnPVxpcl4UVH2Ui1r9PSWuxcYdANJ19NvPcfMPFoUp2Z9il6R0WqPSzcsEcQxzcUx3nR1DEaPfcfm2b3fY6a9vR2lxn+sFerBNw3wsWKSrrto62Mr6k7jwx/ZW5Bxl4pZYPsGi6t3LGDdJjh50mX9uN5yFjxJnCianQSBvmuLvkHJF5QKKZVCQrkQUSkG1EodapUm+06GfO5hn7ufqOOkDuetSin5mm6pzqk0aSqGlDdyYDcmxDmHy6EIaTmopv0ZuTFUtY08+VhTcg0jASPmhWMOSwsO+CaWFNkSaXlQ6kA1M+y2NTAkkv3Z+8CYf7j3TlPtXyvy7znVmZQvqt65+iiRmbRO3+BRZFCpCrasCTAfignThF5mj5abW6apyn5mapCfk7u75kAfnqrkVTyv5HkQVW7EKYZ+rtnoK05SDCkoF03OX1fgT39ukbueXuILDxXZe6xMrWgyVlBU/YRSL6UXpPQCreYJI0kY6y/WbGvVVdEzGa3a9ELJkbNN3vsFyVXnl7lgYxFUj/PWGlx91Ssarrfusekz7fSrYfirArxYGqXgW7O9IHnLxk2XfvnhRx62rtguGak3+MR9PTqNIltXWqydslg1njJaCzg2rdOOfdekXDCoFKFaSqgUI2qlkJFKh4LXYnqpzbvvcLjl0Umijs9kSbBmQjBeMxmtaP+6mQWVCVuljrkYmiQMx6/2K3d/qTM0/86VLFJbkfXB2Af5IKLQyLKBzs4pPvZlnySzYrD7GschSuiQfVzfZmHIhCj3E8lvsHwmnrcAw1tlkWTfd5LfnEpHamfZkrEhMLPqnbcoSaodAFRo8oOv6PHBO3qcaviEqUWYubjGy5RLmdllorID6JCiKaU/Y8+nKUPfXd9pNt8xGJmYwXe1fG12IaHVAcs0cKwKayYt3nRVg9e+bIlbHm/wsfuqHJ4rUe0YTJRSgijW6/lEkSoTw5AUvITjMz2OT8NoxWTlqEEQFZkYjXnzK2d4cE+NZq/E2knFRRdeHCkVvaVcLs+Wy+5Xg/DXAHjBZnHuKJfuWHMS1Tt06uS+rWOjs3zpCcmJk3V2rLfZslawbkWXernBsfkeX3y8QlFajFUllSKMVBJGKiGj1R4jlRZCNrjjqZQ//egoC0sVVpYF68YU4zXJ5KjNyjHBptVtDpwOeG63y9pRC9e2iNJBrzhg0SlAr9CNocPloC0ZeptJrfoee3LYa09HfJsyxjIjzi4KDp/UVmiGlDhS9QW9xhAVIAd5X+EiBwr2gSHR8ll4fw4tdJiEsYwHLrLJzsB4x0gEZiKzNITcAUBX8TjV5KgNUxGTtR6n5yNiy6GXCAqZNC+v5H096jKQD1b18TltyvDiJv8GRf/frUPGqiVYPdHhltmYoye03UaaWoRRkVbHYmrU5SdvWuIHrpnmTz7a5vYnRmjPOUwEEMYJSaI/uWNZrB5PuOmqJu/9kuK5Ex5nF2zmGyZb11bZsdnAsnvc+qBgcrTE1IrzDrnFdSf37T/CeVvXf/MABzAMyfPP3He0Xqz+7E3Xrr33jvtOUnVGueRqk3VTEdVKm9PzHW5+DJ56oUxROkyukZRLgpFKooUSI20qxQanF9r85ad8Hni+hoh9zhtPGSvrO3asZjE1Klk7FbBibIGHX4g5M6/XslFk9sOJculibqGAkJlPOC86AA4Et6Lvr2fmOfemTkQwsxbFzOIKIxXx7i8WaIUuwrJwDIErU2yZq1no6xAHN40W8xrmkD7RlP3vIZ/xL1+66JsxlUPOrv32Sn//caxvmlz9b2bq/zg2iE09NotjC981+JnXtfivf1Oil7gEqUWYCqJEj+ziJDecV5ngeiDAjl8kwBb9UaRuVfI4l343iJR6h+G7iqnRLvVamweeqWCbedmxiGKXMDJody2mRh3+59uWuGnnCf7qk6OcnC3RiyVpqhAixrYkZ+ZNtq8v8l/fMseTh9o8uKfI8yc8Ts9bHD1dZN1KlxX1JWThUk7Npj/7/KGHjl6x86KvBd+vDfBSdTXdbhvX9U/PNuz7RqsHr9u5ZQHLlkwvdPj0g5K7nvBQic/aEcn6KZPJUYuJesLkSI81Ew0se5EPf1nxpSeq7No3wlRFsnI0pV4m24ZajNcEK8dC1kw2OLnQ5uYHqxg5uaifuTjEF5EphqkQ0sgSmLPe2iBrSbIWIXfAyiRWfTcrQw35XMeYhqbgPvWC4K5HC0RKJ7d58hxvcmOI+9wX8Wbx0obM/Ppk3wEqt5RLU4jirHVI9JxfkJkoKTmo4WJwUDUycBvJgPEXx5LYyMBtarcopSxecVnAjs0dHtlbILAseonAywAcpxmwU/rVuw/2HPjpoM/XLZBJEktUkpCm6XL/8GzBo82IDF5/VZdH9lkcma5gGzEgSBKdB6QV9QYTdZvX7lxgojrDLU+0+OidY3TPOsRpipQhpmljyAKbVhncuGORG3Y0uePJgIf2ODx20GPXQdh5/gQ3XXvBfTt3XnW61+3g+YVvHeAAnldg99OPHiiXyn+1YvUF1z361J0sdi3OzFY4cspidUUwWhaM1kwmRwxWjiWsmuiwYnQRZSzxri9Z/MPnRrFSn83jitFiSq0kqJVNRioWo1XBZD1ixXiHSnGRD98nODNXYPskA9FCPnvO+mZEQiuASJlYucokbxnyx3teWXPjoNz6IPO37seDGwmWGWGaIY/us5me88C0sY3cKWpQuQcq8iHvPmPIjcuUWJbQNARzMGVJEl0Iu0FKL0xIE6VHjIZAmWRtlxwcOKVuVYw+wLU4ITH0QTM+h/k3ORJwxXkdHnk2IE4ceolBmCVc5FU8jiG2FHGSZsxBzb2OsxZlcBPpG0gIieskxEJpy+OhA79SgjiFRttm8xqbl+9o8I83Fzg5b2IYUVbJTZLUIkokUSRp90wuWN3kwnVLFJ0zfPD2OofnC8SpIk1DVGoTRg6zi6OMVitctrFH3VecXuhxdjbmkh2X4/mlv3riyUcPvGznFV8PdL8+gANMTq6lWik/Nr/Y+oyyZt5gdY5QciUXrbfwbIFlS8aqkqnRmLVTLdavmOXuPSEf+3KZJ/ZVGfUsJksp1QJUC5JKyaReNhmpCsZrMRMjPUarS9yzJ+RzD4xTcQ0KbqqV2YZYJkR27YRGO+GBXQ5zSzb1IoMWYkjd3Vd5Dzui5i8zjw3X4HbtkGY74cuPV2grB2la2uPP0H4jw+b7+Q2UV/G8JbFM2U+Xs3OnXFPbYAgBsgXT8wlLrVg7bWVmOjo0K48Nl9k4U484I0NiDLUZ51bxKPPkLpgWN+zs8c+3dWlEHl3ToJeAlycJJyp7eqhzXkIDPx42Q5J0Q5NaxeCaS7vcszeiF5nZ19dPgShWhKGg1TVpdoq84eqz7Dsxz4NPj+nlDxGgSFOLJDGJYkEQG/QCi7Gqy0++qsGF62b40N1d7n+qTi8yiZKQMDJpd01Ozlj4roOUTcKOwQ2Xb2Trtq2fWb1602PdztLXC9uvH+DjExM8vvvE0crkFb904ZZHjdnZ8Psf2m2wom6ysCSZGDVZMxmyadUSnWiRv/iM4PbHx5ifK7CyAvViStETlDxJuWhSKWo32tFqzFity9RoAyUXee8dVWbni2yfSvGd3CAo89fLrHodOyIh5sxcgSTSKcu51fJyB6Yhc8i+3VsG7H5seIRlRnh+wEdusbl/d5FEuriGjqy25eDGeKmbp++faAwS5mwTHEf1s0E9J6FWiphphNyzx2RpUVIrkrkLZLN8clpBVrnj7BwRQ2xo4EWxbsWGBQpWbBDFuh245sI2b7muyXu+UCC0bTqJgR9n2UYm2vwo415HWRWP4uwGyPwacw/BIDSxTZMV9RBXRASxl/G2IcrMlHqhSadnMLvosnVNgR9/VYP79hQ4tljMnrJxNg61iBODKBb0AoN216RadnnZxiarR9tcsukMNz9Q49kTPnESIw3BuqmA+UbCxEjI2ZbNQq928/YLL/8l0pPHyqW1XzfA5df9J4GX7ViF1bvr2CUXX/yM46xi3YRi/+mAIFKsmwrYtmEWac/wj7fafPhL4xhhgR2rYeOkptWOVkxqZUu3JlUN7tFqwES9hWUt8mcfd9l9qM6qqqLk0RcvuzZaoGxre13TjDg6rdh72sPzDDwjxc4tC3IQ5v6GGfBtM+3fIJaZYhtZZLgZUfACTs2mfPLeIrM9H2maOvgqT5cY8vozh2bfA9/ygXWZbYGdS7OchKIXUylGTI22GK3PMN3ucmJBsNTWPt29MHPeyjg4cQ7Ccy3mYrmswuamObnfXxDZlByLN1zfYeV4i7QX0k0U3UQQJmQApv9KYv31okRlH1sO8ig26XQcNk2mrJrs0klSerEgjBVhpM0xu4Gi3ZU0Ozan50psX+Pw6289Q0f1OLUkmWso5hsxC42I+UbC7JJkesHk5IzLoRNFnjk0hsE4P/YKk59+7RyRaLLneMKx6RjXTtm0usH+oyZbNqxh+wUve+b+hx86JoyvH9zfUAXPr5GRVVRqK//kkoWjG/Yd7b217ne46oIA221wx+4OH7pzlKDls21SsmLEoFbW69l8geC5kmpRUS/HjFQCxmttJkcX+LOPCz5x9wQjBYORQkrJk/ieqe1zXbKU5DiLHgw4cNJgz5EioyWB26/Q2ls89zs0817YGvYyzCLDbR0861ghlh3w5act9uwrgnRxTKlX09kr90ccPBX0U8IYelpYfXcu7R/iZKnOnptQ9EJKfg+30yWKizR6klaQb1DzzWs6aE0kRFJiGBrocQxxduCMEokZp0SGxEwkUWJixilhZBHbDhdvbvOKi5p84C6fXmzRNgxcQ/T/HVaWTRnFeQCrIrJEH+RhnNEhIpNW12bbWsmWlR2ePBjTjix6ETqoNUjp9FJaXYNm22TedvGcMm+9fpbF9mn+/EOrMaWZmfVrpY1SEEUGCwqUkhQ8m9kFi5XjLpdtXOIffmWBD9/V4viZGl9+2uGK8wts3lAk9bd89Iqdl/7JwcMnv1G4Ynyjf+FP/n9/w8//xOXB2jWTX1ycOfFyw2yuOXQ65OHnSuw94XL8lM/5k5INK2zWrrDYtEqxZjKk1RPEiUG5IKiXE0arIRP1DivG59l7qstff26cOCiwsqyolyWVkkGlaFEuSqrFlEoxplwMqJXbREmL99zm8+zROmMFScVNKeZMxSxx2XOM7L81k813Ex0kmoWIem6I5/Soljs8+Izid95Z44WzVQzXoWwJihZZpEquCs/8y628Ukt9PjB1bLltac8Xx1K6PXHSTHAdUfRDapUOi+0uX3zYZ3qhgG+DbQxnfQ62r2J41Z9vZPONqVA63VnmdOCcGQkoqJUSNq/rsfeI5MhJF2VZ+hCepzTk49Q8JWOZD3jmCZm1g6aZUnAjOkHAw894BLFDITdsMnX46mDmD1JKHEswXuny+P6IQ2c9TCn75yPL1HZ97V7M3qMBiw1FEEo6gYVSLmsnwHMFW1bYOG7E8VmDTjhx/9pNl/zgA4891/qeG172DQP8G2pR8mvlxjdwbLrcufjy7w/b3TqeLLJlRUinEbNjlcHWtTbnrZdcurXLRVvPcnB2gYeeC4njFN9JqRZjRis9pkYXeP5kl199xySnpyusLKfUilD2M0KOlyvzkywxQtt17Tmi+NLjFXzbpGCluJZ2QM3NPLXnoW4XtF1B2g+jdWxdvR1LR4a3eiGfe9Bl97Ey2C6+KfGNgfWEtWxyMnBoNaTQo0FzOI1CYVlkTwo1eFpYegwpRQIqIUgVQSIIYm2VEEZoyVacpS3kB8Cs582reN6yaLuH3PJhEBUSxRbdwGXbGsH3XdOkXGjSCyNasaAXCYIIgjj7WtGAmhxFijDSrgVhKLVvSWgQBCadwONVlyZs39CgHaa0QkEngG5PG+e3uymtjqDRNllsOswsFFk5UuJPf67F1rVzHF9UnG0KGm395y1TcfWFHVauWmLX0YCnDoTsOxLx/GGDZw9VGS0rjpyOCdo+29aN8NY3fW+4fa3d+cUf/55vBqrfHMABplZuZsXKzY/eeO3lXb+Q8PDzCWtGi9xwieSKCyIu2bJIoTjNXXt6fPLuAo7Uq91SIWWk0mPF2ALPHe/w3981zuFjNdaUU0aKOu+n6GtSTsGDopdkqnxtjRzGXT5we4H5xSI1D/zcb8PKvQ5lFqORTzF0hLiTu9FmbYnnBjhuj4/dZfHum+soo4BjGxRN7YrVf6QPjQkHvJOBkfzwwqcP8v6UZuDYZWSpaEKlxBnAoySbjWeAHgA7HXwsYxj2gZ3Kfh8eZb24Nu4xCCNLJxiHHj/9uoC3vnIBM+rQClKasaQbZ5ZpMQSxyvrpNHvlLrCCXijpBSa9wKLRdhipOPzETQ0KdpeFnqQdCDqBotPT9NhWFxotg8WmydySy9n5MhunSvzRTzU4b/0cRxcUs01Bu5PQ6SnC2OWtL4frLllgIeqw61DMo89H3POkwbFTda7Y3sOwekytuqy7acOGRzdv3PjNwvQb78Hzy/eLLC61f2vd1qvVp+/e+yvnrz7irp3qUSz1mBjtcnwm4p23Fjh+qszmMYu1kxZjNRiv91g5tsSzxzv87gfGOHi0xoZ6ylhJUS1KygWTom9kNhQpBS/J8jkDfLfDw3tTbn28RqFoUrbTzC1Lg9ux5KBdyPJpHDvvh7P+PTPrLHhdnj2W8tG7azS6ZayyTckA3xzKChqarS9bxZ+TE7Q8mGkwzuxzXIwEKZPcFJA0VUQpGVDzOfXyEZ7ZB7wezZnpUD9uaIAbiSJKJDI2MKSZ9fMp7a6iWk146yu6PPHMIruOWjRMH0dmvXikb9zAGIQIhKEkMAWBJQgsSS806IYWbs9msVHgpp3zXLJ1gfue8WgEAt9WOD1dNCxLYhoGhmGAsDP3MMGWFfD2H1/idz8gOXK8hu8ICl7EkVM2jlnn5753lpsum+E9Xyxy6qxDvZ7w5AGfqbkyr7l+Ze+ya679P5Zt/w/D9L5pgH/DPfjw9cd//Ifqpldec9+KUc+wneCqMzPzxuEzCS+cVHzsPouDx+qcN2GyeZXFmimDdSt6bFy1wIHpBm//UI0DR2tsGoGJCtSKBuWiqV+Z/USlmFAtavbhSKWF7y/xRx8ps+fQGBNFQd3T6WEFVw445642HfJd8N00I9fHFLwI3wsp+FqkcfBUwP94V4U7do1hFnwq1iDxLXdiypc1eQtiWWLI7lnPvZ1+K5S3Qwrb0QdMnfAc4zghRT9gZiniCw/6nFos6QCvLAvUzAzqh4lbfaJYdtg0pHgRRTfXluYpz5rKqoldaSLYvCpizVSXZw9JTi+6pEKHVJnDdAYj/3xyQBjLn1T97CNFtZjgmG1ufdAjxMXPWzeZb2sFYGTyNyNbQllsnEzZvq7BnmOCI2dcXEOTthJlY5kOF6wL2b5ulqIvWTWhN7puYWVYrJz3JzMzs7+/YeP58beC0W+6gufXfCcKR+rjf9w+1QznmotvXzPSkyFaGb1h1GDrGot1K2QG7nkOTTf4Xx+qceRElfPHYbwClaJJwc/A6UmKvqLgpRTdmIIfUSr0sO02H/2ywR1PjlDyDcp2gmergam+Y+A4hp4t5/ZgdorrJP3qrX3Eu4Rxl996Z5FbHhvF8HzKlqRipQNwZ9k/eTJC/zA25LXdJ1MtC8LKeC65j2KWRCyzZDTt86PV1HFqZGQoveWMMwprvoyxkjRbnWdVPAUrZwAmA654HMs+Xz6/crarlIrXvKwJYpaf/COHpbDKkqHpv/2FV5h7sidYodABr/mN3DNwLAvHclhq+bzi4oAfvHGGj9znMNez9RPS1G2gaWiKdJpqG7heMPAb3Dwp+Z8/ssQffEiw93QFIWLNplQ2Ra8GZkyrXWJ2zmfHpjRdu27s7X517M+j3nz4reLzW6rgAJ/6+Mf54bf9YDwxNj6/fqX9HwkPyURZdLsmq0ZcLt+u2Liqy8ZV8xyfW+J/fajGsZMVtkwIVo4Ixms2I1VLg9zVll4FT2WhVjGVYpeJepOzS21+7W/GmW9XmSoqqh6UPB1oWnAlBdfQ4gpXk4AKw9Xb1bPukt+hUGjyyXtN/vpzE2CVqbgGNUf1g7Hyyt1PEusnTuiN6iCRQma9fzZlsTMraEtl3ot6Zu/Y2ua54AecXYz4wgMFTi0UsBxDT2mGokYGVRykIZennZ3DiOzL47Lqrc5lAeb+hUKwcUXAodMxe15wCKWjBQx9ddLQ15TZE2NoepNXeSGgXEjZsanFFx82mVks4GWToJxNidAH5V4I3VAQRZpKECU26yYVF6xv8MRBxQunXOJI0e4KPNugFxkcOWMxs5hw8cWXp5s2rP/lOOqeuubaN36r8PzWAQ7wt3/+G1y4Y/1SwTZP9uLC6x56akaUHIsrL4hwnAbnr5vn5EKL33vfKGenM3CPSqZGbKbGTFaNp4zXEpTSXIyCm1IuxFRKISPVNt1wif/1oQIP7R9jrGAw4ivKnqLkS4rZvNz3zL4fYsFV/d696EUU/JCi36XgtfjonYI/eN84i1GNimtSdxRleyiXxqJfvfv5kP1DZLZAyg6yfQP/7O/pFiXJJjZp9r6etxe8gLOLMV94wOfUQhHL1sskO8udfEkW5PDrnCdGPh4UgmXg1kIQuQzkpiG4YlubpXbMroMeCRZ2v1VRDHvHGMNOYMPC6uxmGq8mjNdaPLDXpd1zKZhZQbD0RCkIFdPzMa1OQhCheS2JSRTZrBkXXLqpxSMHUo7MeYzWQ6ZnoVYwGavGbNt2RTq54oJf8KsX39UJnOQ97/ybbxmb33KLAlCbuIjDBw+F6zZc/e7P3XXcXzUx/hfnr3yBfSclB46XiOIe777NpzFfYuskjNcNxmsWU6OCVRMBEyMNbns0odUaYeWohZHl3PtuQL3U4qP3wB2PjVJ2LEa8lJKrsmqfm+sbuJmho+ek2UvPvD1Hz7vLhTZL3YC//sw4RxdrVHyTuq0oOykFG9ws59GQQzk8Q7x/bbwphpYxYpkvdt+wP2tTZN9jJbeEW271mie1J0r0ZWRJfpBMM0LUsOzsHDsIGHQ8miMiIJJIqbAjvcrPabhSKsbKCb/4xhZffGSJ2ZbFomllZ4nhQ3EWTSIFlmFkB+o8T9TBMlM8O+Y1L1vg/j1zfOROj4ZnUIxSionCNiQrpxKa0Ty3PlxhRSUlCE2ixCKOXcJYsnrc5Pd/Yp53f9HhxotsDpxqc/vjkje8YhXb19v/9fJrL3v34YMHkwsv3/rtgOa3B+AA6zduoNU4kfz8j7/64KEDleY/fWS+dPxkzCt3wv6THoQFdm4y8R1BpWQyNQrrpnqsHJ/j0w9FfPaBKhetSZmo6ZO960TUyx1mGl0+8OURurHPuqqi4ilKnqDoSQqe7Kv1fYeM+6FwnRjPjvFcvdApFbosdbr83vvK7D9Vp+jajDqKiqtvFj/r4/Mk4DBSBHEm4RLLAZUvX3Kjd7OfRzkQUhhS9fvuXHt0rsf3sDdKOqS6iTP2X9KfsOhpSpqKZdRskR8wpf5/eb8r0HP4KNE2bKoP8pT1Eym/95Nz/M9/tljs1nHzJUy+iOnfpGm/XdFV3MgEGHoyNDUS8tYbWnzpiQZnWzVqnua3GIZgrGbyyi0pEbPcfN8IUZKr+W26gcP0nMmGVSYbV8Tc/7TDDRcZbFxpMbnh2uba8644ePj42WTDpk3fLlh++wAOUCh5nDimbl674bpfvPJy+/+sOHhH/ejcDIdPFHnNZXqxEYUWIxVYNRawcnyBzz8W8NE76qyuuNRKBp4DvqNDZQ2jxSe/7PLCiRrjBUHNT4bAbeC7epXvOeA6emOpD5WpBrkTUvR7uE6bP/qQy4fuGAPL022Jkz8JyPp2nahrGIKldsLCTAJC4Sjdh+cuxjnhvx/P108fS/vbP324PCcCVgy9FcseDgNVTaIyoQNEhsKMFamZayhVvyIPTHX0pAYE8w2XxZaBaYBnS+I4s19jQDG2jJS33bjEUneG33iXy0KviGtK7D6XJ5PyGYmejMi+lDuj8doYUuHYJTZORfzg9Yu89zafhY5D1U/phSlzSzbzCyP8h1dMEyWzfOnB0YzwFgMWM4sRL5z0OH99SBi0ODY7ztveeOP85JrLf9lQ7ZsD0+fbeX1bAS7ECABBd/H9r/+eK82HHgv/5OOfu3/s0i1zuE7Ag8+U2DBuUPRh7VSTA9NtPnF3jRHPYf2kwVjd1HHgxYDxWpOH9yW86/PjGKHN5GhKtSCoFiWlgqkB7ukbwjvHYD+v3L4b4DttHnou5bbHqgQUmXSFTn/LgJ3fMMVs/l4pCpI0ZO/pkCiwqRf0wkdlpVOIQfXOK3ee19kHuJH2w6+WH/wGaNctj/6cikF7ko/+jFi3PVGSYicy8y2hrwQyDYVrJ1RLPYK4yzOHRogjh3JRUvL1MijN7Jn159Tfl2NHvGZnm9senuP+5ywWAwfb0K2KYeZRMfRVSCo1SFUWq6jMzFraZ81ExM++dp69xxZ45NkJaj6UmwkzCwmHTnp47ihvvX6avUcbHDpeZbSSUK8YbFod8OBzil17BZddMMLqTdfNrN54zX+Pouj91ZHJbyu4v+0Azy/Hq3JmuvFPmzdfL6+9bPaP7n3o3jHPtNm4ImWhEbHdh8Vum88/7FMwPbZOmayatFgxmjJWC5gYaXF6vsN77yjT6BZYU1HUClAtah55uWBS8HLjoCw9wNa/cNfO+SYhtXKHmUbAn3+0wrPHa4yUDaqOdtnyHQ3wQgbuctGkXoYVoxEbVy9ytBHw6bsn8W3wHa0oytU2Mjt89qcmluaoO7am4Eo5sLnIwaHSoRIuhG4Lss8HWW58LPo3kpGBOI7zflxmhpharmca+ilVr7b55H0d7niyzKYJmIi1yEBXXUOLhaXCNGxMmbJoFti8MuJX37rEkb/wODo/imsKXEP0I8DNLBtJZSPLnGGYKonC0n2+VWSiHvKjNzU5dLbAycUSvp1imiGGtDHMAlvXjPL9Vy7w3qUujW6JarHHoZMG68YTPCegOrZt5sZXvPw3SeJ/EqXSdwKK3xmAA0xOlPmLf/rMu1GFZNXk2v995MSR+q6jKRvHTKbGmzy0T7Hn+TLnr7LYvNZi06qYNZNtSn4X323w0fsltz1aZ23VYKyUUC0Z1MoW1bJJtagnLaap+nYROVNQ99+6NelFHT58p8Oj+0YouA7VbBzo23l2p3bcKvoGlQLUSwn1SsBYNWDdeI9OpLIeMoem6E9WLENhWdlN5ST4rjaXtMy0H+yklK6ctqmdqFADy1tXZuNFQ1fYMIZ2os8BicpN+HXOTd6HJ5nRPVmV14e+gCNnJScbBvWCwrXjbGZvZfwZo59gl8fENOwCOzc1+JEb5/mbm10We2V8U/RFGlaca0JTRJDSMQTdICGOLdJUIqWNaSg8p8xrdvbYdWCed9/qcnDOYq4FrW5ElFg4ZolLNoY8f36HR/e4WJbBFRfMsf+YTbV23vxFW81fP/7CZ/55zZYf+U7B8Jvnonw916/8X2/gra++5INvfctbZi7avgkVW+zcGnDoTJt7niizftxm+3qTCzZ0qFamueWxRTpRk0bY456nS5Qsh8lySq0kqZVN6hWT8RpMjUZsWNlh3VQby0yzx3bOO4lx3ZBqqc1zR1Pe9YURmr0CdV9RslO8PELDzlLgskNq0VcUCzFFP8R1Al3BMnlW/4c1VL0tU+GYeplUcEPKhR71ShPbbhBEKa2ORbtr0wstotgiSQ0tS8syblxTb00LjqLoKkxbsZSmnGoJFrqSTghBqAhyElYyMOwZPmgKAaiUIIJmF1pdRbub0OkldHrQ6Qm6PYNukCWYBTaNlodr+/zEawN2rFug1Q5phJJeRu5KU/15o0RxdCbl8HTK2fmYmcWQuSXF3JJkvmEzs+DT6ZS5/sKQUbeH5UW85tqzzAdtnjsa8sxBOHKyyit2OGxc1WDX/pQocvGrG5uBWP1fbnnAfN93EtzwHazg+TUyuS5WafTTV160ar1nRe98/oW97mKzgoPDltUGl5zX5tH9Szz4jIVFkSu2dunNxZya9ZkswUgJqmWTkYrJWE0xNRKycryFEkvsesFibs6mWjIp+mCaKa4TUS50ODQd8uefqHNqsUa9KPWs21JZIK3QgbS2kXnm6SwhvRQKCaKIvSccvSoXSo8H+9MTrRLKFzqeE1PwQsZqDZ480OMdny8zWfTYucVjrKpdQV071k5cSqCQ2FJzXgqOoloQjFZMLtnWoz56hnd8ochT++qaZmqkOLZm/CVJmmkXh6wdUkhSydbVPWwnohW6dIIEP0jxgoRubnIaCGzLwDLNjPyVsNDwGS0n/NJbGpxYcDkxP0bJkpScFAV4rkG9DF65wRMHDJbOOqyOE1QaIoWFaRjYlkO1VGRlvc36VQFhWOBlm4pccV6LB57t8vgzo5QLJudvKHHl+SGzi3Mcmt0RpPa6nwkof9Kgl35r6PpXAHDHFGrfrvc/sGNr7eHFxkQ3iMQHHn7qhDtaE1y2rcOe421uecin5vlccaGF78bcu8tladHhotWKasmkXrYYqcJEPWL1ZJNYzfN/PuVy5FiFnRslBS9vUxIKXkA37PI77y5xx+PjVD2TupNSsBVuxhnR1Fqd2agBn+I7STZaDJlZSvjSw0VcUyyLRDGkyPjS+pGfA3yk0uXQmS5/+pEy+4+OcMVGk1M1rShybO2/FycGKmtR7LyCO4JKQTIxajFZg8vPsxktz/Ib7zQ5daZMwRZ4EQMabayIhyzdklTQC01ed2XAX9/cZWnJZTQUWpAQ6iSzIJQEtsjeSnqhiWna/RHjjZfG/OFPz/Irf+OzFBSpe/oJYRmSqVGD77tOcd2ZWf7PJ0c4OushRJKZMVk4lonv+mzf4POy8yPufljx6O4KV1/k8dorFmh2l3hkX4XRqiJNIkbHLghe+aq3NEfGVjwY9rrJulWj32n4fWdblPzaesmPce/jzeT6G9/wqbOdiR8vVdd0rtre5myjwX1PFNg0UeTqC2wu3hxgOk0On3FZUTEYq0hGKhYjFcFYNWblWJtULfKHH7a47+k6dd/CsbVO0bYSPCfCc9s8tBfufGYM33UY81NKjso44yJbboiMfD/grQwYhyGKmE7svCjQyuhrMPOVfILvRQjZ5cu7BXuOlBkrGbh2SjdUdHqalRfFJkliZMJiqY1zMhFF7rQbhCazi2W2rzZ4+cWLRCKm2RM6gSxWhP2ZuG4jkr50zcCSJiYh3VjRi3RrE4ZqGQ1WK3V0LmUvMOl0bZZaPo1WlWu2Sa44f452FNMKRZ/C2wsFi80y1293+M3/ME1iBZycV8wtxcwtxcwuwtl5m+m5KpsmIFQ9nj4U8eDTDoePjvPKHTYj9QYP7InZvnVV5xVXlH9s5cpNF06N+KfXrBz5l4DevwzAAV5+49v45d//vPrJV5z5+OrV4z9zojG1dOBYkWu2OVx3sWTb+gi/sMA/fM7i+RcqbJqSWTSKZLSaMFbtMVJdYs/RgAf31FlXk4xVBCVfaqdaL6Ze7rD3RMhvvGsSQ/msKqfUfd3jOlbO46AvO7OGDlZaDBFjWwEfutOjF1q4feergVQtFzHbVopjajlaJwh59FmfNHQpOSlSiL4PShRrrxE9gdBteG4CmkvdpNC9fquriU3XbO9S9AKagcgECvSnKZpWK7T4ITYIYxPbMvnRVzWI44ROJIZEDWkmpGCwPIq1mKHVtVlqucwsFEmTCn/wUx3OXzvPdFvQDqAbJDTaiul5m5MzVa7bbrB9wyKnWjDXVCw0YmYXE87MSQ6cKLBjfYmf+4EGjajH3mMh9z2d8uBTPuet9Hj9jbWlkZGRn/ml35/9uNH4qzNCiES+ZLbit//6jrcow9df/vZPsW7iH7l8y8YPzzVXWKOlmT8/ferpkYPHO6xfkfDwcxFPPjvKjrVG5ncoKRcSauWIiZE2zx1r86cfG2WyZDFRhVrZpFISVAohtXKXWDX5xP1FGs0K62qKsSJ4jla/hLHK8mPyRU2moczn2HaMbUd4To99J8soZeFlWk8zI1tpIfOAQ23bCbYV0u3FdBMrk7ElSDFYoQ87uKKGwqyGCE6if0NIeoGDLTq4RshCXCCI5UA/2X9BFEnCWBJGJiibLSvbpFFIJ/azaGz9Z5M4zcx8RD95QSlBq2sRNW0KrkWcSFaMpfzQtU3+8lNFZtsetU5Ko5Uwv2QxXfApF+r8+g9OM7O0yPHjNXw7RRHRDVLi2EKpGldsTti3vcWTz9qsnuzRVVVqU5fPjU8Uf/XkXPnDf/Lru6is+qV/Scj9ywIc4Fd+/ucAOHt26X2WZZoHZ0f++OzSA2NPHDjDMwervPwCC9812bY+ZqTaYW7Jw3NiXKfJx+9zaSwVuXClop6p8+ullHo5YGJkiQ/ebfDh2ydYVRZMVRSjVa3kn2kEvHAixU91vy7EwLzHHFrU+G7EidmU+ZaLZ0kcM8mWIJm4OAO7nVFEbTPBMCKe2Gfy+D6fqqf6S5J8KzNITThnG8pyW2WldIVtdi12bk256Lw2tz5aJYjILNh0H64BLrM0hSyhOLSpFTpMjXVYahcIYv13or4qSN/cUqrsZ9nj5DGbs/NFxmomcaLbvB9+xQyHz87xwS+toO4Lil6cuQOblP0CW9eV+MHrl3j7e0t0QpOqSDh6NqTRSTFNh/nGKBeuXaLb7XLJ1iqvvunKmanV3/sbaRq9z/HK/9JQA/4FW5Rzr/HxCgjxnte/+pW/+brX3DCz+/AYkxWbNStDXCehVm3y7JEux6cF9VKPpw9H3Le7zpq6YLQstWlQBUYqIZOjLfYcDvjkAzVqjslURTFeNVgxarN9g+R11y3hV3ssdfXGUCC0JfCQosW2YsqFHo/sNdl/qEAxFzxYZD277t/tfKZspliZ1nKpCY2mhW0OxZeIIb4Jw8byAGoAbPJUOV1hw0hSKwrqxZgoTQnOVfvEakgBLwkik15osW2d4IptHbrdlCDRPXdu0pNkN5khFCU/YqHT4AsPd3j+cMzJacGZWYfp+QLNdpU3Xh1xwaZFji8KFpopC42YuSWYWXQ4NVPh+gskOzYuMtsSrBo3OG9DzEK7RxDFHDjd49hJl++5wmfrha+cWb3hNb9pmMl7vlvg/q4CHKBW9TnbjN+9Yv3l/+2nfvB1Cy+/rMbZpQTXCbnzyZSn9tfZuDLhyGybf/h8lYK0mSiTWb4JRqvab6RUXOBdtxU5eLTMiqpipCwZqVpMjgpWTXS5eHODaiUhSvKYk0ylnvfTGUuu04u5/xmHUFl98cPwoTQ3DzLNzNfQSDCMGGkpMOXybJ4he+fl4O5/uM9JyYO4c9prFJvZQTIlSgfazShOs1d2cMxy3oPQQmBzzQU9HD+gFYrBTZEq0iSPGBSYRspcQ/HkIcmJ2Zgz8xEzi4KZBZvpuSJbVvj89GuWWOx1Ob4gmG/EzC+lzC4anJ33CIMq//H7uqxa0eDAKYOLN7i84mU9umHAxEjCdGeMVRvfuHDVlTv/G6LzbmkUv5sQ++4CHGDr6jLnram8/xXX7fyJlas2/spVO6+IlBFwctrhlZdEOO4C7/+Sz6GjFSZKZHHiJiMVxYqxLiPVeT50j+SJvVVWlgSjfc9Dg/FazJqJBo/uh/1HbFyLIauETCBsplhWgutEdMOQx54rIDDwrMwqoi9kFnrLZ6khUpXCEOlXjfAekAgHHxTL3mpeihpuZZTOwExVmil8RLYyH5qM5FORUI/+lLK54vwI2wloR9rsZ6DQzz+HNsLctkZx6Xldjswq5hYT5pYS5hsGc0sOZxcqXLbZ5m03zjHdjjg5B/ONiLmGYmbRZnaxxNaVZX70pphu0uCeJyXjVYtOFLBl81XR1q2bf2X1+st+IopG3y/E2HcbXv/yPfhLXULK9OALL9y8eeubbcN/ptONzL9baOwWB07PyTt2uYx4RVaMhIxVTNZNGXiuYKIeMFpd4KP3w999doICNhM1RaVoUCnq2MIVoz26UYubH/ZoNhxWjCscy9CmQFL0FfC2meDYIdNLilA5+KbQY0UzFzMbmXonU+dnjEEhB6VZDb8zXLGX0WRfDPJlH8h5tUP256nSsrYom6aEcUoQKYIQeqGmyQahSS+0kcqk5vc4PattIKLc0zBJiWJJEAoabZuNqxxed2WL5w73ODXvUSrE2TTKwnM9Vo9X+M+vn8eQs9zywBjVRYtaOeHIaZOiZyCkorFY44df2eboqQXa3ZH0dTdeoqZWbP3P37/xon+emTsVTox980r4b+f1Xa/g+bVx82aeO3IsVOb4+6cmNm1zK+t/23JXI4XLjk0hW1Ypzl8viGSIFDEj1SZfeCzh3TePUsBlVU1RKQgKnlbk10ox9UqLp4+kPHeoyHhRUCnq9bx2pcpECmbaXxB9/B6P47MeBVvzRGx7UL3djLXo2vrPG0aaZexonja5IIG891Yvbk1elAUmlrUqMmf+iURTVTMmVpJqcAehohcogjDRa/xIaP+SyKAbWEzWDd768hbdIKEby6zN0YfMKIZOT7LQsJhbLLJjncGFG1vMtFOWWinNTkqzLVhs2pyaLZJEdX7uexWvuWqRsy2dw4lo8txh2HvM5ckDinbbZP3a1Vx/5crf3rB287bzN429PwwOhWvX/+sAN/wrAjjAVS/bxqUXbuje/cSR/XuPrPjj8sSWt1+yY2Oy0NUuSutWtDkzm1AphdzzTMLH7qgz5btsmYDRisR3tFbSc6BeDlGizf3POPTaHmvGBOM1i6Jv9KcWUmoHJ8+J6IUhx2ZtBGbmtQKOqa0oXEf23bEKXoTvxpqMlEii2EbFAplG/fg+1Etg+Stcw62NyGit0kjAMLANA9vQAG8HgnZP0Q20bVovTAn6FVy7tqIcVo4kOE6XdqgreKoGWZ3NjmB63uTYdIGCU+LaCwKUDJlv6c1nFEO7K5lZcDh4osrcwgRvu8Hgios6LLYTpsYUB6ZDej2TidGU2tjW5Pwt696+48qxP15Re3a/W9rYrY5t/27DaNn1r6JFOff6w1//Ef7sPZ9Mfu2nfvR3ur3T5r333PtfTx552jkxd4ZaweD0Yod7n/K5ZquL76acnYexmqTdTegGKZYpqZa6PHMs5cHdFdaPClaMWmxdK0hVh90vOBS9TN5lJVRLXe7dDQ88XcIXEt9OdXtia3dbz4GCm1AqRIxUOvSikE7bJU5cPCdi4+qQjWu7NJe8ARnq60U4eTqcXp37dsy+Y4J9xwuULUk1E1C3Y8VMy8AwUlwbfM/Q6/cM5L3QJE5sXn5Ri1dc1OT+XQV6FU2csgxBvZKw+2BIGhskqUm1WObaC7rctavNseMWcazw3JRWN+LMnMVYzWT3QUnBdXjtzkXu373E4lKRdZMBc+1JrrxyZ7Dtgmv/961rRn+ntPu9bN3xs99t2Lzk9a+qgg9fv/ZTb0apOabPVH/r8su/9y+uuPZN9yTpyvsu227HS42Q67cLXr6zw+oVTZARa6dS/FJAo6NFD90o4LbHXGxsVo1JVk0YbFnbohnOM9vQj1zbTKmXe/TiDp990OfkYoGCm8+5yWzgBK6tRczjtS69uMH//ljMx+92OHm2SLPts37SYMvKkF6QGcT35yLnXF9peZeVcSkVnhvzwimDo6dcai6srAveckOXX/2RaYQbML0k6eZtSrR8mtLu2YyWLV5/TRPT7TLX1r7gUsJoLaRUnmP/qYCTZxOOTbuouMRNl4VYbkw3hEohohl0OHomARFwbLbJ3U8n3LOriG0pTi2V4m2bpu77kR/6gXtuuv6Vf7Fptf1brzvVZOuOn/huw+UrXv9qAQ5aIbRunUetVv5NGb9ww0//8IWvm1pz8SdWTO1IJ8YEew4mPH/UwjKh7EfYVqzfL0Ycnw157mCR1XWD8brJ1GhCqdjg848WUEpvMUt+jOu2uPMpyUPPj2AoG0tkrla5BVxGxtJLjxaffRj2HKrRbrmcmbNYaru0Oy5RMIjLfil0a/XOQJA50PIM5XsKhWnE2I42M6p4MFGT+E6dHWtcvv+aeRZDRauX8U0ipRdBkZaoaUqAw5VbJa+6ZIlOFNPoaLKWBF5zechCL+bMXMyZOcHx6QoXrbNZNd6j0UmJEujGsNTVDMbz1qRsXR3QCE02rrsgvebKSz7Rsa543cO7T9zgF8u/KUSZDSu+M0KFb9f1r7JFeanr/IvexukTR5oX7fD+i18+ceCp3Y9csMpfeEP7wCHSWBEkYMqIiZqkWm7w6QccypbPxpUWlaLBaKXDc0dDVFyi7EsqRcVIpcMjexP+9pOTbBgzWT/V4NRpDyEyUpYlM86KoujHzDYiHtjj4pkmlqHoBoJ216RekVy8NeTpQzFRsvxHmmcKDVfvlEEmPAzemgY0O/DkPode12SqpnBt7UEYhC7XXdji8w8FNLtuf22f+wkmShKnCQ88IzEY5xdf36ETNjl+vEKjk9Jom4zUHS7c0GL6jMtSM+WF4za+W+WaCxb53D0hZ+c90lTh2AG9KGZ2MWX16s2sWlH6zIXbLn+mVFr7l1Hcaa5f/415dH83r38zAAeYWrUOYFapZ//npZd8z9oDLxynWFzxhnsffp6ZxbMcOOFw5XkJZxYCTpyucsPFEiFjeoGk5Id8+hGXONRjxLFqREKbWx7xsNMib7giZu2aaf7sIwZG6uJmHoe56Y1lpkRKpxpYmTAnzWRm5QJceWHIp+9LSTQFvB8tLodeIivdKgteVcOTF6UFv4steHyPTbstscfzryOIExPPkkj0wkqv9nUV7wY6Q3N6QfH3n3ZYP1bjP7zG4/uumOPvT0fMLFosNi0c0+bS81p85LDAc1JmlkLuetLl8vOLjI/2OHzGYed5KYuLXcarVTZtvpDiyLbPuNX1v3ym3Tl6/rbv/lz7G73+TQE8v4TYTmNp8ejKlRP/rRdU3r9mzdZfevDJXdePVY8jjDN88m6fSzZarFnV4kuPSKYqFp4bMlIRjJQMRiqSkWqbA6cjDh4fZcd6zX1+7rBNryeYqElGqiZFXxvZRLEeBRqmwrElSaTzc3K5XBgJzs5LwkggHL26ya0l+j4puX0bqh/fnYezZgkmKAWODbV6irQGPihpimYBJjp6zxCaPmDbgmYnBQT1isnqScn560MOHhbsOVBg+6YOG1Z1mT5tM7tkMrfoMrsU0o1iCp7D+rEGtz8qsI0ib7m+x+fub4AY4cfetIpi9WX3em7xLydXbNqdxPHR0dGJ7/av/Zu6/k0CHKBcqQIcUEodAJ7ZdWBp6md//OJ3HDmya9PI84eMCzY2Ob3QRqQj1MtwdFpx4rSgVpSsGE3x/Sa33e7iCIeVYwaTow1ue9pGphbjNZONqxJse5H7dxUpeppxJ808R2cQQuU6KfNNxe0PuywtGUxNaQWQWKa810luQiiE0rEhYRYMpT1P9Mw8TgSjFcVrruzy9MGYbmhr/ncW75emRiY4VhQ8k7WTivue6eIuWlSKFqsmPNZMRNy/K+TkWZetawvctHOWv/9UxOlZm4WGxcaJmPUTPeaWfCZGPUrFJk8e6LFuRY3rrt6WnL9p+4HLLjj7827t6tPAfvEvRGv9Tl3/ZgGeX9kvYL9K5venSfwaaRgr/59fvfYTTz51W3nv7rOFrWtbFPyEk3MGJ846bF9tMFrrcctjij37y2xbIVkzmXBoOuSFYxajZZOV45KJkQYfvKtDY9Fj7ZRFnAicrDKTcbltGwpuhG0FtAOXODFApCC0UMIyFY6T4DshrhtgGBEijWhHKc1AEkQDD3DtpqW552U3Ioxj2tg68jrOqbd6gWRIvbBaPRHw2spZPnTrGCdnTNYueJy3usG6FW2OnXU4M+dwyQaHm65s8dxem7lFi/M2OkyMKJpBj92HEq66oMLClpXtnde8phEm0VtGRlafPNPaenR9/d82sPPr3zzA80sYdZRSRzdvHTueJkvbu8FNV27ZKt759HP74ubc/vrR0ydLvmVSL0E3bPH4MwVeuSOlFyg8N+ThfYpOx2HrBpOp0ZRCocXJBQcvc3gVAkwz0cvFjE/uOSme2+XZY3Bw2sdyEsJE87sNQ+DYKUUvxLbbLHU7dKIY3wmoFpv00gLNniQINciVEphmQjtQrBmTbFvb4YUjbtZfM5CpJQolBplBY1XBUqAnIyembS4+z2fn+V0e3xOx0DL48q4qV53XYN/hgJlFk3WBz4ZVEaYx0rzsko3zY5PbTCGNn63U1z68cqK8FEakjv3vA9zwr3xM+I1eQgiEEOn8XG9hxeTq20aqpS1//s7Pbfze1/7IH6xde8Oz1bGVT5Wrhd7de0psmjK5YnuHeimmGYQcPeOwouqwblKyYizggWdSps/aeHZKqhRCRuw9ITm7pO0gDAlFL+bMYsh7Pj/G9VtdXr6jRSdIspsBfCelXOxy6xMJP/3H4zz4dJXLLhD886/Pc9Pl8yx2Fd1QU2CVAt8LuGe3xQNPr+VnvlcwWg9o91QWeQ2j5ZQtqwMS9Gy7GwpWjRpcdWGHk3MJR0+nTM+WWTdh43ohc0sJ9z4Ts/+Iz1tuiCkUC72x0dpTN113/bM//EM/8gd7d31wo+NWtoyPrb3NIFwQQvy7Ajf8O6rgw9fYxCToaVznyNEjWJb5p0Kaf/ojrz3fmBgt/N3E8e6WuHHk2v2nDhuVSsqR0yATgzUTKZVSRJLG2KbNzk0mk7UQgcWJmYT3315hfsmgVtenQiESHtitiAOHC9ZaPLK/iyTBsQwMoQXHiepy/+4Km8fLrBn3eOQ5h9VVm5dvm+HB3RFBJEkV9EKp+Stxwt5DHuevjbnhoha7n3NRQmEYIWOVmB9/Nbzv1h5g88JpRbNbox0lSFPR6EYcOimYHJVsXJXQDQxecbGiWNyUnHf+1P0jK+v722nzF4pGL3Fdlzf+6N+pyan1ne/27+s7ef27BPjwtW7tOhiMmuMoWPq5nZfZteMn5/7wnz5yp016KClXJy69eDs7O81Zzi4s0uyYjFUjLlinjeHDMGa2kbCqWuRVl7R4cq+BwkEIxfPHbFRqUC6kuK7JeM2mXoGFVkKUKGYbCXNzPhev0hbCtiE4Petw/roCk9UepuFSKyXML6WcmfNodBIW2wIDyXlrYnY/r5AoTs1G3PxAiS2rS4xUeqTEnJpNmZ41mV9UbJgK8Z0Ey/FxCmvZuNp4otEMnrzusjXGig3fG6Zy4v9ZrXoLk+PfPfHBd+P6dw/wcy/LqQAsAP8JYM9T9yKFuH52qfdqkbbeQjK/dW4x4oVDu5gakwRhj7OBwcETKfWCyflrIg4eExQ9QZJKLtyQ8Gyi8NyEsXKKscJicizg4WdNOj145ECRsmdgW4Ik0VvSMIRm2+XGi9s8dxBWTgQ8/CwcPOFytp3SDhOm5yXPHrWQQpOsljqSfccN6gWTlbWI+cUeiz3wrAIXrk9Zu/oiYlGiVvT2TYwUP9EJi1+aEurei6+65rv9I/+uXv+vA/i514UXXw9wbxjM3wvcF0fBxoPH5tNbHzqWXrJtfL3l1n9jYu4E04sGp890aHZOYAjJqrFFTs+Y7NyU0lyK2X8i5dAJuHpbwsT4Eq0nqsSJoNnyWDVu0I1iFpsGI2WB54ScOGtQ9AsYhg5mOraQolKbK3aEdFqKQ6cdHt3rs34cnj/epVCIUWkP35ukNrEGcSblivWrOXFq7o8v2Xj48PZLrpaJMSlNwzwI3LZiov7d/tH+q7j+Xw/w/LKdOsBt+X8fPDqHYTjVTvPUQ7XSI0z2jKgyMf4rl2zccdPqTQbVQsxtdz0FIqFWdujEJoYtmG12MeyAlSNNkthhxI+wDUk3iElTgSMFQkQcP2th2ZIwjnnhZELZ6zE1alBwSkzUoBt5eL7F9i11apMXM1GTrN4Sc/FGefszh6O/mJSxdd3ll7B63cp7k16waHr/H6Bf6vr/AP4Vro1rRwAWgc8BPPbsGTbWxd7qWDBRGyMVKsByDoNYwLIsCrZNtRhF9sjVvzsysfh9N4z2omrBxq/HWIZNL0wwpCSM9XazGxhYdkp9TFIspLxqhbSuvcj4/B1ffu53E2VZpmnhOlCvFLli5wUUPRtkKldOqekLLuawkP92+CDfzevf10zou3z93YceRikxsa52qmKJpnIdi0YnxjIsgjBBSqNPX+2FEtNKabQklgXVoi1ed31pKU2ZNsqv+m7/U/7dXP9/nrg7Ko5R5RkAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTg6MDU6MjcrMDA6MDDlR+U1AAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE4OjA1OjI3KzAwOjAwlBpdiQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 16}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30087937
    {'hecke_orbit_code': 9007336962130018, 'n': 1, 'trace_an': 2}
  • id: 30087938
    {'hecke_orbit_code': 9007336962130018, 'n': 2, 'trace_an': 128}
  • id: 30087939
    {'hecke_orbit_code': 9007336962130018, 'n': 3, 'trace_an': 1350}
  • id: 30087940
    {'hecke_orbit_code': 9007336962130018, 'n': 4, 'trace_an': -16384}
  • id: 30087941
    {'hecke_orbit_code': 9007336962130018, 'n': 5, 'trace_an': -81060}
  • id: 30087942
    {'hecke_orbit_code': 9007336962130018, 'n': 6, 'trace_an': 345600}
  • id: 30087943
    {'hecke_orbit_code': 9007336962130018, 'n': 7, 'trace_an': 0}
  • id: 30087944
    {'hecke_orbit_code': 9007336962130018, 'n': 8, 'trace_an': -4194304}
  • id: 30087945
    {'hecke_orbit_code': 9007336962130018, 'n': 9, 'trace_an': 12526407}
  • id: 30087946
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