LMFDB - Newform data

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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

mf_newforms • Show schema

{'Nk2': 1536, 'analytic_conductor': 8.561610305995224, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1]], 'atkin_lehner_string': '++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [6, 1, [5], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [314490, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 268435462, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '6.16.a.a', 'level': 6, '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': True, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '6.16.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{7}q^{2}-3^{7}q^{3}+2^{14}q^{4}-314490q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6.16.a', 'trace_display': [-128, -2187, -314490, 2025056], 'trace_hash': 724361891699852698, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.986', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '1.967', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.039', 'prec': 7}, {'__RealLiteral__': 0, 'data': '4.856', 'prec': 14}], 'trace_zratio': 0, 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-8255646162598644853824, 3024930782595011051520, -23055701090914554271647, -3507915296765615929856, -1179213070698709912836, 6338859208216274567168, -59305883823325403822580, 3531118898527505252352, -13632541079693387283664, -16733025488563450413056, 9131116592258480199240, -55908592162965164705280, -23309217813366425393748, -819716834902011199488, 12530976019576012831360, -31521651696370303909888, -8382575262656009253150, 11379805063032300634112, -3086561320369845604734, -1027817023626644064768, 61103215981469356540920, 3332239125606128517120, 4042196337695368543110, 18597106546142688121344, 40580397670209336230232, -3542403006335079677952, 58794414392942025112260, 15995153658340220797440, -14844538549372817590272, 1986430117358324285440, 8139814106029013833824, 21228185531788087311360, -23725493084336365154248, 695359020802626289664, -16446817795032175381524, 7049016853572810276864, -10485406880093075172000, 8010821140191007801344, 2954603028686319239726, 34739218369927294246400, -5114773742726421110538, 24975738400221954048000], 'weight': 16, 'weight_parity': 1}

Column	Type
an	jsonb
ap	jsonb
char_orbit_index	smallint
field_poly	numeric[]
hecke_orbit_code	bigint
hecke_ring_character_values	jsonb
hecke_ring_cyclotomic_generator	integer
hecke_ring_denominators	numeric[]
hecke_ring_inverse_denominators	numeric[]
hecke_ring_inverse_numerators	numeric[]
hecke_ring_numerators	numeric[]
hecke_ring_power_basis	boolean
hecke_ring_rank	integer
label	text
level	integer
maxp	integer
weight	smallint

mf_hecke_nf • Show schema

{'an': [[1], [-128], [-2187], [16384], [-314490], [279936], [2025056], [-2097152], [4782969], [40254720], [110255052], [-35831808], [56047862], [-259207168], [687789630], [268435456], [-1930104414], [-612220032], [2163188180], [-5152604160], [-4428797472], [-14112646656], [6228974472], [4586471424], [68386381975], [-7174126336], [-10460353203], [33178517504], [64743719070], [-88037072640], [-20237611048], [-34359738368], [-241127798724], [247053364992], [-636859861440], [78364164096], [488967594446], [-276888087040], [-122576674194], [659533332480], [-772359114198], [566886076416], [1306766329292], [1806418771968], [-1504195920810], [-797308732416], [3351821491776], [-587068342272], [-646709706807], [-8753456892800], [4221138353418], [918288171008], [9387813393702], [1338925209984], [-34674111303480], [-4246850240512], [-4730892549660], [-8287196040960], [28930359275340], [11268745297920], [42393077399702], [2590414214144], [9685780071264], [4398046511104], [-17626492120380], [30864358236672], [-52247243064364], [-31622830718976], [-13622767170264], [81518062264320], [-27194529024648], [-10030613004288], [-91604195687878], [-62587852089088], [-149561017379325], [35441675141120], [223272654582912], [15689814296832], [62882111078120], [-84420266557440], [22876792454961], [98861966617344], [-223567315949868], [-72561417781248], [606998537158860], [-167266090149376], [-141594513606090], [-231221602811904], [554198786115210], [192537077863680], [113500059230272], [102055517749248], [44259655361976], [-429033150947328], [-680301050728200], [75144747810816], [-1388870476877374], [82778842471296], [527346495809388], [1120442482278400]], 'ap': [[-128], [-2187], [-314490], [2025056], [110255052], [56047862], [-1930104414], [2163188180], [6228974472], [64743719070], [-20237611048], [488967594446], [-772359114198], [1306766329292], [3351821491776], [9387813393702], [28930359275340], [42393077399702], [-52247243064364], [-27194529024648], [-91604195687878], [62882111078120], [-223567315949868], [554198786115210], [-1388870476877374], [-419546297127498], [-982508323000048], [-246544159223844], [845122838491190], [3001700846115762], [1754460654223016], [10714934829687252], [-4076749562776854], [6187965181988060], [4104830477484150], [-4309711897208848], [-41049277858058794], [-3671614310508988], [39770328406013736], [31061680292321022], [53175301475153220], [72836390134637102], [-93992805355400448], [188577963761408642], [-186951618153016074], [33340986613542800], [-460034004554113948], [273469247170565672], [406443787648200516], [130378936502162270], [-273060383714493318], [1210334686161974160], [386893262220231602], [-915207784106327748], [-2159946760102647294], [535139397335331912], [-506061289703276370], [2928147306162297752], [377192401077913166], [-2764934842226586198], [-1139867609081906068], [5842069253935692342], [-3592038052071558844], [2185351513839592152], [5598739438600889162], [-7362187250475697314], [7520264195259339452], [-4012284761143783054], [-19256981583267055524], [10786309711215461750], [3624302719161956802], [-17587139022225158760], [-27453912104797517464], [14471222711754661022], [6836904260845007420], [14527800552177042432], [-8736533309054349690], [43605823289339131526], [-13149783435727846398], [-12664321429197950710], [-41099200015046674620], [74179125531232659902], [-75685453985554378848], [-11103939852866359918], [-51507873499525606240], [47789836524212197692], [59120979434195584050], [35949707488235210906], [7568329238593990302], [43617033929991913112], [-54759892322896599564], [-220354555143064991280], [246262903877892999296], [-145289894891739750948], [-271400143515056986300], [-50295463270978756248], [-341886041648742488610], [304623063306811947402], [-62285324189076216628], [509060983762900556102], [-558817597106253640924], [140176485263292893406], [-317601081839522650188], [125452674858527048730], [-44715551013687720148], [-239371382486111607934], [293608979023767020796], [511154824404438604242], [-214049005799429227800], [-42461241368428747798], [-175100081613214892344], [-698869755116341947538], [-122078339339097347814], [-530802254451416342020], [-1559936870144869331248], [1381553201343435886002], [1663862206813558554692], [-489973197313706041224], [1857668658185280855102], [1981752454654650633540], [-1989198926039142440098], [-1595030000548908091678], [-1185267049449561531834], [-2444892298662581186868], [-1139855633710859976748], [31119870320120542302], [2134735436409809060990], [-833849356211430153120], [4621864370659959172016], [3023912986509673278182], [5971681121930381039060], [-273038593537835518008], [184036200186793738952], [-2943979082202060268594], [-139071410578858324998], [-7435499290208074697470], [-2241722050261780496778], [3805609570862789282996], [-7336819099879270021074], [-11140295779139135878710], [-9590326210724993335348], [12432857698992143052102], [12949231947314384815472], [5996726348139644491116], [11980251799889993860070], [-1444552068646461828840], [-5949813108711385534498], [5369303433201746522106], [14229528849455009902940], [-12636201898007234481888], [19462195530085952032166], [-401381664207339105198], [-18759111594625642932268], [-3482846439264621570504], [27934874762840950641356], [-14602636186714265973648], [-15327473525196296870320], [17259866563846415441970], [2571898082378309800346], [-18634696953147835031298], [-28783608827077422209724], [-5822224180201841436198], [-13632541079693387283664], [-23309217813366425393748], [-3086561320369845604734], [40580397670209336230232], [-23725493084336365154248], [2954603028686319239726]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 268435462, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '6.16.a.a', 'level': 6, 'maxp': 997, 'weight': 16}

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

mf_newspaces • Show schema

{'ALdims': [1, 0, 1, 1], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1], 'ALdims_old': [3, 3, 2, 2], 'Nk2': 1536, 'analytic_conductor': 8.561610305995224, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [6, 1, [5], [1]], 'conrey_index': 1, 'cusp_dim': 13, 'dim': 3, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 268435462, 'hecke_orbit_dims': [1, 1, 1], 'label': '6.16.a', 'level': 6, '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': True, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 17, 'mf_new_dim': 3, 'num_forms': 3, 'plus_dim': 2, 'prim_orbit_index': 1, 'relative_dim': 3, 'sturm_bound': 16, 'trace_bound': 3, 'trace_display': [128, -2187, -351654, -247368], 'traces': [3, 128, -2187, 49152, -351654, 279936, 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Column	Type
conductor	integer
degree	integer
multiplicity	smallint
order	integer
parity	smallint
self_twist_disc	integer
source_char_orbit	smallint
source_dim	integer
source_hecke_orbit	integer
source_is_minimal	boolean
source_label	text
source_level	integer
target_char_orbit	smallint
target_dim	integer
target_hecke_orbit	integer
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_char_orbit	smallint
weight	smallint

mf_twists_nf • Show schema

id: 2850
{'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '6.16.a.a', 'source_level': 6, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '6.16.a.a', 'target_level': 6, 'twist_class_label': '6.16.a.a', 'twist_class_level': 6, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 16}
id: 2851
{'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '6.16.a.a', 'source_level': 6, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '18.16.a.f', 'target_level': 18, 'twist_class_label': '6.16.a.a', 'twist_class_level': 6, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 2852
{'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '6.16.a.a', 'source_level': 6, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '48.16.a.c', 'target_level': 48, 'twist_class_label': '6.16.a.a', 'twist_class_level': 6, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 2853
{'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '6.16.a.a', 'source_level': 6, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '144.16.a.o', 'target_level': 144, 'twist_class_label': '6.16.a.a', 'twist_class_level': 6, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 2854
{'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '6.16.a.a', 'source_level': 6, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '150.16.a.h', 'target_level': 150, 'twist_class_label': '6.16.a.a', 'twist_class_level': 6, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 2855
{'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '6.16.a.a', 'source_level': 6, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '150.16.c.i', 'target_level': 150, 'twist_class_label': '6.16.a.a', 'twist_class_level': 6, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 16}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 22550
{'charpoly_factorization': [[[128, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 2}
id: 22551
{'charpoly_factorization': [[[2187, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 3}
id: 22552
{'charpoly_factorization': [[[314490, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 5}
id: 22553
{'charpoly_factorization': [[[-2025056, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 7}
id: 22554
{'charpoly_factorization': [[[-110255052, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 11}
id: 22555
{'charpoly_factorization': [[[-56047862, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 13}
id: 22556
{'charpoly_factorization': [[[1930104414, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 17}
id: 22557
{'charpoly_factorization': [[[-2163188180, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 19}
id: 22558
{'charpoly_factorization': [[[-6228974472, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 23}
id: 22559
{'charpoly_factorization': [[[-64743719070, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 29}
id: 22560
{'charpoly_factorization': [[[20237611048, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 31}
id: 22561
{'charpoly_factorization': [[[-488967594446, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 37}
id: 22562
{'charpoly_factorization': [[[772359114198, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 41}
id: 22563
{'charpoly_factorization': [[[-1306766329292, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 43}
id: 22564
{'charpoly_factorization': [[[-3351821491776, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 47}
id: 22565
{'charpoly_factorization': [[[-9387813393702, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 53}
id: 22566
{'charpoly_factorization': [[[-28930359275340, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 59}
id: 22567
{'charpoly_factorization': [[[-42393077399702, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 61}
id: 22568
{'charpoly_factorization': [[[52247243064364, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 67}
id: 22569
{'charpoly_factorization': [[[27194529024648, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 71}
id: 22570
{'charpoly_factorization': [[[91604195687878, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 73}
id: 22571
{'charpoly_factorization': [[[-62882111078120, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 79}
id: 22572
{'charpoly_factorization': [[[223567315949868, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 83}
id: 22573
{'charpoly_factorization': [[[-554198786115210, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 89}
id: 22574
{'charpoly_factorization': [[[1388870476877374, 1], 1]], 'hecke_orbit_code': 268435462, 'p': 97}

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

mf_newform_portraits • Show schema

{'char_orbit_index': 1, 'hecke_orbit': 1, 'label': '6.16.a.a', 'level': 6, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHECsk/VNAVAAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13mCXndd6L/r5QYafeHacn54gZ5AwCYM6kCIqkshVsBQfJ6dpHtpx0/VhHOjr2lS3bspJFZYkUxZxBgCASkQYDTM7T0zOd086V67t/VO3QI8hBpgzJ9n64n270gOg9VW+t711rvetdgv/z+pa9PvG5p5BSTJ44P101iTGbxyxsS3L0SouHbxkV991UXnny5YTNY6tjdx6aMa+e34JrSybHOpRLiUjlvjqYhbHNDwFsAmqAJ4R4vf9qf2lf+vX+AH9ZXo3mNEKwa2lNTYahSDt+yGc+/Ul2b5xj56ZVXGVz+fonozVzx0977bX3aWGimXmbyVFB1PFp1WN7Zmb5P1+bEYjE/2vXhtrh3MIym8Zg2g8ZKieWH099/hd/6+xPn77+afFv/78//P8szFz5Iys8frRdO6+EcPBjIVc7akEIruzZuuX1viR/KV7/JzT8Ka/rs8sYURhWyaWH564dQwg7sgru35uac94ehYIwiXj12CsU3Rp7NzeotRTXFguQBsRRzEjFcO6azeFdCXNLkpGhmErJ4dKcJkkjxsuC2ZWII7tTLlyTjA6l2LaN62quLElqbdi/IWbPtlEOHroFKW2CxDC9LB8NO/EvJGlk3XnbEW4+uO1JrxPUiuWx1/uS/YV8/R+A56+FxTWAd9o63bO4tJLOXfpoWimP7bq8tOUfdVqXcbRNozHD/OIqbc+i5ikSY+NaKRXHsNiMuTDns3nUpVpQKBExPmSzb5ui44OQATNLGj+E2RWBwsYLIvZsM0yOtJFISsWQjRMtzl0dZbVWoOQm2Dqm4ye0OoqWn6AL4+zYshWT+hw5sItHX1j7ueWVpSs//Xe/QxZLE3KoLC4BX3EKI6/3Jf0L8frfHuD/7699gSTl4e0T6h2R733YVs0DJDH11VNYVpMzlwqsdTpsGBKUXBgfTphdc1DSIEXKpuGE6UWXUtFw9FJAJxC4NqzUYde4plhwmByPefhIk9NXhjh6VnBmOub+wwmbx1JKJcG2yRrLNYXrgBcYjp0bo1yQXF602TjiIwXYKmFxTTFUSpAiZryaEAQlpmuS4WKBu28+wMiIYuNY5VxlWH5i127/q8TiSeF+5+t9iV/X1/92AI/8VbTjjMzNLf/fv/fJr9lB+2qy2HTv2FBO7mzVV2l5ixzZVeTi9TI1v8Fbb1c8c9xm91aPdsdmrqYIIoGjYw5tTdgwErDakrx6eYgoFuzb7LPYUty82+PClEXT14QB3H2ozfnrRSqFkLMzmnv3S8IooOlrXr0quW1HQqNlsWdLSBhJTlwRrLRcNg7DgW0tbC0JI5hfs2gFMXs2Wjx9wvDG2z0a9Qqnrvoc2dvCdTaxaWOFyap39OI19fJtR3aqHQfeHSp78qdM6q9tHK+83rfgf+rrf3mALy9dQilLnDvzZXx/RFl25ZfWGv7+qWuXH2zU5lWt0SIVEWVt0Wg7XJwL+N531mk2Jvja0YStWzpMlgssrsVsmoDjlxSRAYFiy0jCHftbrLUEbd/lzBXN4d1NLNum1ZFIITiwNeX4xZTlZoFO1OLW3SFtb4i1puDVC5L922NSIah3UgqO4ZYdklNXNF4YUWsq7thnmByNUCImTiyOXbbZOmFYWlGMjjTZOVHm8Zc09bDB97xVc3aqyFrTZ3zEw9IlIjPEls0bk51bdz9tZPH8Wr31N2utRvK2h99CFMdmz66dr/ct+nN9/S9ZRfnmiVm0UrLRaLrjEz8ZXL/+f/+DKEr/yvzcK9HLZ5KDqYndZjNgz1aPTqeAtpvcf0fM+aki88sOXz9m8ciDNW7ZPcrjr9js2dphslrm6lzM3QdCzl23qZYiQHLqapFNIymrNc2zpxOevQg3bzcc2ipZawmePiN58+GIaklRa5W5Pq+pNw3KCvn+d9WYXqhQbwlu3+9z855lLIZZWBnn+jIc2pHihZKpBYfhoubsjGT/Vmi1JPu3r7Bzk8vjL1lcWfH44MMJnU6V6/OSC/OGd9xrEKlgeqGGQ1O1Vy+/0XKce68sVe/eu3uLFcf+7+zWP/qvQ++kY7klH5JUiL2v9637lr/+l4rgnm8wAlmwV6uvnrp439yy/rUTJ87ES/PnR6OoWWl2Eu46sMSWccHZqUkuzBpGCpKXLga84fY69x8ocvLCEE+dCBkabfPBByQnz5V5+pTHwd0xW0YKYDyEFlhSc2leM1FJaASGshswvZRw+npCWQ3z9rva1OplXjhjOLxTsHdbQhILri1bJEnK3i2Cm3ZFvHBasNbu8LY7JYXSHOevlrk6P0zREbQ6FmNDMZfnbWwdoKTCpJqtk2vctF3x1CvDHL0S8YGHG2woVXnqmMuJqx533VLnjTcVePnMEEPlgEvXNSeuddgx4XPn/gJ+qNm1vdq85ciB1ZEN+/VCnR9xCkee27O1XAfS/5Xq7v/LRPC5hSZra/Udzdq5La6rPhEsf2lo6uRSaWXGAyE4vMPm6ozLc6dd7rulye3727hWlcVVwWgx4Y8fdxktN7l5n8IPSzxzyvDpZzt86MEGrlvm2EWLTaNtRis21xc1TS+h0/EobbCIUs1ISbFpWPLQYY9XLsZoKXDsGKcYc/SKolS22DIWEsSweRRu279Mo6MJ4mGiVHPyquT4he04ysWxE3Q1wAtgqOKxE2i2ba4vJYxWO4wPlfnqCzYnr4U88sY2W6oVnj3ucmLKZ/+eNb7rjSlnL5UJQsXpyxanr0fs3N7i/kMW12dLXF706cSLlRPnlyvN4FWMs+WPvucDbuPlleTDB3btmvHbtatuafj1vqXfktdf+kfVGAOw/3c++fSmm3dZv3L16it7Z6+9rKZmDVsmUjyvwgvnEzZNtLh5R5mvv6g4NdfhbzxS5669Q7x6YZiL1wyvXIwYG69x296Q/ZuHOX+1yIvnEgqlBod3pJTsEheva6TlU7AFrp0yUhTMr1qsNhRaJ5QLEY6tcOyQa0sKLQMO7dC8fL7A/UfqVKtNfvULRcaLDg8cgmMXbA7t8pDC4uqSxlEWrpsy7CZYGlYaFrOriqFSh4INtq2wpebSrKFYbHFwB5StIV46Y3NuxmP/rjVu2wPj5XGOnXO4dD3ilamEW29a4ye+LebslY08djTl5n1rbBop89LpAq2gyaZxzfya5IG770j27z18cc/m5o+Nb33bHHD+L3s0/0sbwdOghrD03ovnTt6CWfk7jZUrD3/s2Al8r8VQJaVcdDh1NebBIxHbll3mViz8TQlbJiyurTh87RWHB25e4o4DoEQVYyxevTTMb55v86E3N7nvYMRYtcTRs8M8+oLPxjGfA9sFE0Oay3MWHT+i3YFGW6C1YfNYAkoiZYjXkczXXEgLTAyF7Nnc4dkTDgExH3xDRBIWuTQjGR/WbB4VpGnMck3T9AO8yKbVttk6FjBa8VFKorUgijSXZ2B8uMO9N8dsGtZcmB7imXMwt9bizptbfNcbE67PTfLKeYfz0zGvTiV4psXbb/dpt8e5vmDjOB0mhgvMLBS4thzx0G0JMwsWo5WAqYvPqdryyQPNA4ef4PKzT05Uq/9uZq51PEnii9u3Dr/et/zP9FKv9wf4s7yWF2axbWfHC8dO//+ee/nUv7hw9tEdBXORF08bdm1yOD0FoyNt/Djmzbe3KRdKBH6BZscGJKQJU/M2V1cTdmxsMDkMRcfFtTQKzauXFQt1n0ol5KadKfu3OLTaLjPLAltHREYxV7OYW05phgKtNRuqMYu1lKvzNsNliUAzMRKx1jIc2eEjZZH51SL7NjtcmHa4vmI4tCNgcU0SxRZeqNi/NUIIQ6sj2VCNGR8JmBgJsSQ0OgrHgX1bBLVamcdfLnBxzmdkpMGb7vC4d7/D5WsTvHre5vSVmCvLIaVqgx96R4dD26pMzw+x2lCUXUm94XD0rOH8os9Nu9tEUcyhHQ6zSxbbJ1r8zucXWVm+sGPrePSdSkbbS5Utz/3ET/xE/d/+23/zet/6/+7XX6rzJ/FOI11n/PrU4t959Osnj2g1/8i5C9Ms1yXvfqCO1xlluVbkzJWEU9fb1COfv/ehJrfuqHLx2giLaxarTcHSasy1hYjLyym60OZDD7Z579021xZGOTvlcGkm5ey1iET6bJ0Iuf9IyvYJybWFEtcXJWvNFD9OkRKGyzA+FLPW1DTbiuFKiBaa4UqC60S8cNZh12TK+HDM/EoBS6XMrqZMDBt2bQx5/qyDbStGy6BUxFgJam3BalswUUkZqURICUGoWGtqphc115Zjtk/63HckZsu4hqTIuakil2cMZ6YTplcD3vlAjW9/MMBVw1ydG+bqnMXiakKtlbBUS7kwn3Bk/wp/50NNOu0xTl2a4MzlhJVWQjvp8PbbBbOLEZNbDrBn6+ZPb9h65KRTnvx3aRws33vbntcbCv/Nr780AD/18qcoFJzK/NLarx4/c/o7wnZTNlptbtrlc/ziCJcWPB552MeRo7x6zuXY+YhT12MKQy3+/ofq3L67zPWFYeaWHRbXFHPLCbPLEedmUrTr8c77mrzttpSCHmJmqczVOYvLMzCzmmBpj6FywlJT0enEJHGMQOC4BbZOWOzdGFIdiphfFTTamj2bIjAQpjC96NLyDJWCoGgLJDGOk1ApJjQ7NtNLEKQ2qTEc2BTS6iTMrWiGyxa7NsVs29CmVAwQ0hCGgkanwHLDZrgosKTF3JLNpVnB1YWYa6sxTqHDW+5s8567wZFVzk1XuL6oWFhOWKpFzK8arq4Zbt6/yt/7UJshd4TTV0Y5dlbyyqUQ5bb59gdTrs6UOX7FY89mC1SRg3sqaaly4OOJGf5RQdj8ge/5wOsNif+m119ogDcaTWqNBNcRPxt1zt///LOfl984bu6/fn1G79kesX9TmavzhjjSvHxRkFpNfuS9IRZjvHDK5sxUyInrKYWhJv/se9a4c0+BmaUR5peLzK9qFlcNCysxM8sJS62Y6ojPA0fa3HMAbFnAUQ6Lay7zK5qFNUEngDhOce2UkpswPBSTAtMLMc02bN9gUSoEGCNA2LS9lG2TAat1DSajIvU2BDEYDGuNkM0TFi1PIZRBpAEV12LbRp96RzA9p0lSzWhFUnYFjgVxLOgEkoU1yfyqYbEW4zg+WDH3Hmpz/02C8UqB1VqF64sucyuwuBqxtBYzt2aYWoPbD6zyT7+3yZAzwukrY5y6rHnxbIhxW/zY+9rIZIJj52yiJGR6HnZvX2X7uAY1ER+fHnv+zQ+/6aQM5//W29/+LpMkSVosll9vqPypr7+wHPzKmT9k49Y7+af/5B/8zIvPPfX3n3jqK3tGild3OFLIZrtEsxNy9+EORadCo+MihWF2UfHKlZSD22MsWaDtgTQpMysuL15UHNm9xoFtPkVXYCmJbWscW1EqSIqWpNO2OH/V5bFjNtNLAc044vz1gA2ja7z3gRpH9rS440CDqysxKx1B0fG5MmdoNEsc3iWp+wlnryrKRc3padi7yeCHCX5io3XEcBnOXXdQOsGSMdoCL5DcdaCD15Ec2ZPQ9BKm58rsnFSUiiH1wDBR7VBrN/n4E/DqVMKJKZ/tm1a5eX+T4ZGQd93b4tsfMuyeLJNEVaZmh7g8Y3F9IWV2KWRmOeHyElyvxxzes8I//742Y6VhrswNM7PkcGU2JVUtfvh9DYbsES5Ml1hrCC5dNyy2OtxzSNHpjPLNE5G8vlzb7sQXDo+NbPgrW7ft2FSpVB/7hV/5JF/5/Mdeb8i85usvZAT/97/6Kf7tHx5Sv/PTz/3zU+eX/0ltdVbNLoRcW2nx4K0w7A7z+FEBdp1vfzghDUc4e9Vmej7m6kLE6JBh/7Yiq42EpdWIxVrK9KpAFnzuPbTGdzwUsmOiRKNdYWmtwPKazUpDsNZIWW2k1FopTS+lGRg6fsxoJWLbhhQQOJZhZslCSIftE4qdmwybJjos1gKOXyxz+15DsVDj1KURyqWQMLQYHU7xfDi4zef3n6iyf2tMEBjGhiRR4lF2HU5f9SlYJW7dF3PiSsjiqs3mUYedG2HbZIhSETMrYFsGIQzbN8QMlyUtz6HdsWh2LNaairU6rDZS1hoJK42EhQas+QlbN7f5jodXuHe/haOHmF2qML/iMr+qWWskHNzZYXRIMDVb4OpcyvnrEYHweOShCCut8vWXJUPDNd5wc8z09Sr1jmb/3q1JoiZ/5kd/8PZ/ef74xeTArY+83tD5E6+/UABfmrtIpeQWTp+/tu2p5099ZHpu9l/Nzi+wcTzk5h0W3zhqc26uwUfenDDsDvO551LecPsS77jD4cyVMWaXLFbrKVECjq0Io5RmO6bWjFltpCw0BHMtgxFtHnlDg3fdlbJro0sYFqk1XOptm0ZLUWsLWh2BHxjC2JAkoKTBsaDgGKoVw8RIhLZ8Ls+HnLzkkMYl3nF3iLbqvHx2iB0b4csvxrzhsMNSw8PVijiJGBmGOLLQVszqapEHbmvy5efK7NwIRy8GWBR5+10psfA4eTlhasZFS5sNw5rhkqDgCGxboATEKYSRwQ+h1THU2ymtTkq9k7LaNnhJwvYtHd51T4NH7g8hLbNSG2JxrchKPavf11uCKEpxbIhjw1ojYW4l5uRMwlvuafCmm4p84Zkiw8MrfOTNAeeubOTrx1IO7W4zUTaMT2yjUt3xT8sjB/+oUN5+LYk976479r/eUOq9/sIA/OrURSrVCXtp/sIPnjt34ZeeffGoMMaT88sWUws+3/vONiYa5XPPGObqDb7/3QmuIxgbXuKBQ5rrCxuZXSpRa2o6gSSMBX4A7Y6h0U5otGMa7ZRay7DYEsw3UoarHd56R4t7D8Rs36CoFCyaLRfHkoAijCVpKkgNdHxApAyXfS7OGlIT8rWjJYJOgT2bbe470iFK6zx1rMqtey0uLrRp1Crcc6TD4y87bBgxnJ02/K0PNDl71WHDiOSxY4r7DirWOk2uXB/h1n0hT530iIMi9x6y2b3Vx4vbPPqygkRweUZTKWq0gI4nSY0gSQ1RDMgUbac02oZSOWLrxoD7D3Z46+0xoyWXxbUhVusF1po2taam1hI0Woa2lxKESf6gpNRbKTM1wZXVkAeOrDBeLFIowA+9u8PcwkY++5SF0TW+922CqZki15diqpVSumX77WbLtn1/89ab9//m3PxiuH/fgdcbUsBfEIDXGqH0/c57n37qi3sk5ueffv5ZK0lB6YgDm21eOmMzVKlx826XV88XeOlcQCB89u3ycG2P73pjmyPbXZZrwyzXSjQ7Fh1f0fEVrY6k2YFmx9DqxDTbCW0vpdExLLcFy22IkoCb93pMjiS0O4Z33hOwYzIlTiRaGsIInjzucm3JZeNwzKnLLqRFDmxR3LY/xXE7vHyxw/JKiZt2lKhUazx3wuLOvS6rnTq1WoXJScOLZxXf86Y2L53VbJmwWGk3qK2NcNvBDs+dShgpVLlpT5ulRoMXz1Qp6BJ37Dfs2+aDbHN8SjAxErG4HPHUcQs/UkgJSWrYsTHkrfeEtNqKTcMpt+2FMCyy1iiy1nCoty2aHUWjLWm2odlJaHUSOn6C5xs6gaHpw3xDstiKuGX3Ct/xpiaWdjm0zSaJRnnxdJmXL4Xcut+j6pR56WzMvh0tTKKJYsPBgw9E5ZL+v97+zm+7ZNvFLwhhpa83tl73Tub8Uot2x/srZ0+//Atnzp8dceQKizXJcDVk3+Y6e7drKsUJjp0b5dqCYaik2LdZM7VQ5JtHSyy2U85O13nP3TU+8tASB3Z0WFwrU2+5tD2LVkFTLijKBUmraDFU0nT8hLaXsCFI8QJDy3dYW3aZuW4I45TZhRjHMYDAVgYtBR1PIbCIO5pbdgh2bzJs29whSFp85SXFuUvDvO12h9sO1vjtrxhsUWTH5g4nnlNsrirGKh1cVSCMLJZaUHI1WzYIXj0Xctu+Ag/dusJvfdHDtsq85W6D5XT4+oshX36hxJmpArs2FdmxMWF8OGTnWMThHQlKpWhlAEPRcRivOoSRRatjc+qiRdvXdDxF25e0PWj7hraX5O80e/uGlg9rnmShbnDKbX7oPSu8+66IW3eXWGtUmJ4vc2W2QL1l2D6uMGGZr580zDZ9jJtw0xbBxLDFcy8+Zx3aO/4Lp05sWbvl1jv+njHN3xLi9dWfv64Ab7c9hBB/7bEnnvvZLz765ZGRYpORiYibtlU5esEwNe9yZdHjg/cvMzo0wtyKS6MtiBMbpUKqxYSFumFqepifu1Tg8sIy77+nyX0H24wNVVhtFmm0nAzoHU3bz26252s6gcYPsmM5jAxRZIiT7B3GNiYFqQSWFri2oFoWDJdhcixly4YOY8MNvvoyPP2KhUyHeNvtFrccaPHsmYjQr3DfLYKG57G0WuLefSlj1Q4F7eDHiuVmhEoFt+zTFMsBx867PHjbEPfc3OLYeQVmiNsP2fzV96zx+Kshj71U4uw1l23jismRAsPlIkNlKDhgaYOSkBo4OyVIEkEUC8IYgojs7xgk+EGKF6R0/Oxr24dWAKttyWIbwjTkwcOrvPveNh95GDqdYc5frbCwVmBxxWZ+1bDWyE7Al88J6pHPBx5eZf8Wiygs8epZm07QYWp6kbL7qREt4//3wE0P6cDv/GfHLf7vB/BarYEx5q8ePfrUz3718ccnpmdbRBsSHrglRW6KaHVcnj+j+dxTLkFU40fePctYdYSZxTKWttHKRskYpSJsnTJbd/j0Uxt54pUWD9xU53veXOPIjibjwyVW6wXankPHt+j4Gj9U+IHCDwVBJIliQRxnR32m3cqSSq3BtaFYSBkpR2ye6BDT5uJsxMefcrlyvUTVKXDnIc29R5q8eKHB156vcPdel20bO/z+EwIlHCrliHo7IDWgBIxXOjRbNmlc4L1vWOJjXy6ye9HlXXd3CKNVnjo5SpS43HVognfd2WTv1gZfP9bhxPUix6dstoxIRiqCoiOwrewhlAKEMKQG0tQQxfnDGhmCyBCEKX5o6ISCViCoB4K1Jgjtc/O+Bt/95gb3H0wYLpZYWauwsFpmueawsGqxsJKysBqxuJYwvQJe4vHX3rfGu++2mJ0f57nzNscuxgiluP1AE1tGHDv6pYm1pvjZu+960DTqjd8Yqg797wHwpx77HTZMjDJz+fHvn1/q/Pyj3zw5tnOyQUkXefmSz6Mvh9x9cI2Hb68iKCDPOnzp2VFse5kfe+8CrhNg28NI6ZKmOlMTmhgpEtyWZLFZ5ZNPlXjxVIt7b27wvW+pc+vuOklcIE5cOn4W0b1AE0aKKJbEiSRJBakRCAxSGBw7pejGOHaIbQXMrgZ88ajk0ozN1MwwKnXYvdHm4M7spipnmZOXy2yuFrlpF0yO11hrVji8WRKnhq++5BB0JNVSzNvv8vnCUxHXFsrs32MxX/c5fcVi64Zhbt65zLMnWjx3WhCENgd2jnBgq8OBLS0uz69xaRZeOlfk4pUSRS1wtKTkGFwLpMySKmOyhzVOIIwhTATtQND0Jc0IojQmMQF37m3y3W9p8oYjCZNVh7ZXZblWZLVRYLVus7RmsbhqmF+OuL6cMLViaKdt/vr76rzvHpurc+M8f9LlqRMBwyNN7jkYsXVDgWNnyswst+kEj05cubr887Gx49/43U//dui1+Os/8n3/6wL8F3/1d3nwLbM8/lXz3VemZn4xCS5WNw6FbJnw2bFhEpMWOTWlubbQ5l33NBkq22wZk4SR5svPbODZU03++vvqPHRTgBAbCMISfqiJkhSDwVIpJVvQ8BSrrWE+9UyFJ477bBju8JGHGxzYWsP3NDftNGydVASRRZIoklRiuuCWKZZOmF40TC0I6l7K554tMrsyjAkthl3FplHN9knNrs1w0+4mqVzh175QYm1tiLsPaG7a3eDrxwUitpgYlpSKMZ3IRhoJRqK0TcMXLK4JDpkiD9/e4pvHCmwas7n7phF+6D0r/OaXW7x0vkTbt1itl9m5qcD+jR3u2tfigw+2mFtb43PPOqx2HKbnLWZnbSwlkFIiEKTGkKQQpYYkThkejThyqEMQRBzYGvChhwLGhxQjZYcwcplbKtDsODQ7No22Zq2pqbVgtR4xvZRwZi7hgVtX+bH3tRktDTG/PMz1RZdGJ2H7piZvvyeloEd45azD0fMB6ICXz68RRk+N3bp/+y8Oj2yO/vo/Wv2DY8//Drff+1f+p2Huf1oV5Yuf/UPe/f57xEd/68kPX52b+c3m2lzRVYaFpkcsO/yN9wrmlyY4ddlhai7BCxKGSgoJrDYiFuuG2RooN+Dtdzd44002SyuTTM0p6s2IVieh7ad0AoMXZEdxOxQ0A2hHgoQY0hgRx9x+pMPOyZA4htSInJYIpBBIJdCW5Pw1m7OXXEqupmxLxoqC8SHJxIhm07hi+8aE/dvrJGKVf//pCtPXqty9z+Kew4axsQX+wydt7LTKW+5UHNizwq99SRI1h/nutyWshWv81heLHNlS5K33pEhrnn//yTKTpQr33KS561CLywur/MfPFBFRif2bNVs3aDaNSybHEiaGfYYrPgW3Q6XY4cQUnL8usSyDUgYhUsBk/zMQx7BjMuG+wzFJZBHFDsbY+IGd0bbAwsvpW9tXtL2s2lJrGq7Nhyy0W9x/S4133gmOLrOwUmZhzWG5ppEiYbgS0fEVU7NweipmpuHxY48skUQjLK2UsaTPwf1bOsMju3/w1Znv/MTe8S+YD3zgg/9TcPc/JYL//u99ipQJ9RsffeaRwJv/7dbqNXeupji8QxEtDvHqdIHPjC/zwfvnKRbG2DxRZLnmEEZZs0XrbDpmqJiy1nR58nmb6auwfwsoJXAchSH/3kopOoZyaAiilCCGIM64tp84RInLuUsljp+DxBhyyo0SYEmwVab5KDtw00aoFGCoJBkuK0armokR2DYZsHG8TmTW+PefHuLylSFu26XYtUWye0uNb5yOWVwd4vadkuFKimt7ONLBKEGcSIQxxElIre2yuGpx24ECt+xr8ewxlw3DgqJb5rZ9KT/+yCq/+JmU07Nl6u2UekuxXNOMVUsMVwoMV4aoFCPGSxHbbwtxrBhLxyiVIEX2NzMI0lQSRYqlZUUUa6JYEUSKMFIEocIPFUEo8UOJFwj8QOAF2cOxc7PFO3da7No0TLPpcLVbR29Kmp0UP4ArM4qVRsLMSsKK5/NtDza4Y/cQJy5W6XgRh3ZFnDw7X5zcWPrtW3d+PB0b2fbpbzz6yeSNb//2v/wA/9SnP0mx4KjltekPTc/P/9bFqavu7fssDJr5Zdg4Jml7KV96epyzV2u8794V7j7UZnFliIVVh1pLUWxrCq6kUkwZH0qIE4VtSZJEohW4tkJJga1TQicljFKiKOtCRrEhSiBODEmSkqRkfDuFrPkOQoCSoCVYFjha4DqCoiMpFRVDRcnwkGBiJGb7ZIdyqc6nvxny1MkR6isVjmxTbN9osXerTyLqfPWlIiVLMz6sKBd9Tl4mm7jfaugEipv3RhzZbViYT1iu2Xh+kXfc2eKZEx4XZzNtjGNXOLwr5V9+/ypPnvb4wpNjrDYN2ycSag1NtaIYKlmUixalgsF1Uhw7xdEJWhmkzHIJRAbUNBWkqSBOBXEsiWJJlAiiSBJGgiDKKi9hJAhDCOMsYZVSsrxWodE2xDF0AkG7Y2i2YxrtmGYnZb5mmKsn3HFTk796b4f9mypMzYwyt6zZOJawsFJhqWaYHDnl1taC3/WC+Accp/rHX/r8HyTvft93/+UGeN1flPWO+U6vUf/lVuucu3tzgY3jazxwk8Oxc6M0OpKdmwRaRZy6PMqvLbWxPrTGTVt9ioVhltYK1JoW5UJW4gtCTZJmEVdrgVJggCRPFqPYEMcpUWKI427pLyVJssQrNXmlJA/dQgikBCUFWgtsLXBsietISgVBpWiollM2jASMD7eITZ1PPCP5zS+PMuG6HNkm2LbRYsemlO0ba3z6ecPamsuBScVwBcrFiMWrkqWag70TgiijOtUqXJwy1JopCysue3e4vOn2Fl982mW0DI5to2SVw7sFP/KuJSy5xOefHebMrMuGZsRENWaopCgXFMWCpOBoHBscC7Q2GcgFyJyEGgMp2YOdJBAngjj/GsXkVReI4pQ4NiRpxm/CUOD5MmsoJYYgSuj4KW0vodZKWWwI2ibk8L4GP/beiKo7wumpKtPzirVGwrV5zdFLETu3+Awtu8yunXUnJsyvH9jX0IWi/EOyOPOXE+D/+qNfZKmdfH9t7uV/M2pNVWRq0ehENDo+hVKDB29LubYwxNV5m4JrUyrEXJkv82/+QPNtD63wQ29fxrZGcO0CJdeiHWRHaZwARuRcM+PRaUrvhsWJIk6yGxJ3gZ1m5TPTrQOSRW4hBEoJtBJYOgOI60DRTSkXYqrlmPGqx9hwnW+eC/ndrxU4P1Vlx5DF7knYMmmzZQPs39akEzd58WyFgrIYH1ZUy1AtBwwPxdi2Rojs4fICm7VmRL1jaLRjlmo22ybL3HNgia+91OH8bIWiE2EpGyGG2L1Z8X1vWeGO/Uv87tfKvHiqympbM1GJqRZjiq6k4CocS+BYEssSaCVRirx8mKHckM2wpikkKfk1S/PrZAZOOZNfK+imaYbseoZRlue0PMNiU7LQjviBd63wwfsVzdYkL14ucn0R5ldCphdSrq4YjNWgUo6pVFziqMzxCzOVTeOdf3/XLYfs6XO/95vbD3zvXz6Azy82UEr9td/8+B//rBUvj/ppiWbT5tJ8xPNnxnj81Q4P39zgrr0e1fIwI5Ui1ZJFtSQ5ekHx5ediHr55jpt3gBQpRdeh42uCSBHHkiTJNCLGkGsyRB6lBXGSNTyS3o2U+b+bgztrUuaRG7TKGia2ZXDtlIIbU3ZjhisBG8eaLDY6/NLnLL56dIS1Wok944JtE4LNEzZbJgQ7N/lou87HntJcuV5i3wbJcFlmNmsyYHbZ4GiJFGCMIIw02yeavERCs6OoNQ2LawX2bXH54MMN/vjrNlcXHSwdIYRFakpEseT2nTW2f1eTrx7r8PtfHeHlqyU2DwvGSgklN8G1BY4lsC2JpQVakSXOUvSqCQaTXzNIjSFNTH6dDMnA92nKwPXNa+tJJu7qhFD3JdfWBLfuafC+u6Hd3sCxcy6zSymzyzHTyymBCHjgjgZvvDlhx4RLq+Ny6XqBipNw9NW10b072z9/290/oEzc+s9C//loyv9cAN5qNtHa+qGzp5/82dkrpyYKrsddB2By1KZadpiaU1ydtvlPFwvcsr/J33z/PDfvrTA5WmXDqMOOzQmXl9ustQImhkPiRNDsFPACizDM6tdJKnMQZ9xy8GuSyhzYGchNKuixEpNFbilAquwot1SKbaU4dkLBiSkXAsaqbbzI4+snDR//xhAvnqoybFsc3mzYOCLZMGqzaVyyZUPIrs01Tlz1+Nwz4wwpzfiQoFISVIoRjU7Cl593KdsGITKweIHmvfcFfOmFTBPTaKcs1TRbJsp84P42L55rcfaiTcmJUVJkIE+L+GHG9b/vTQ32bVziY082ee5MlWu1ApMVwZBrKNoprk6xLdBKoGT2IGeRHLoRuUvVuuDtRvUkP+mSHODdnCVJIUzAjwTNSLLmCRoNjw3VBi+ccbhyTbLWiLi2nDLfSKgOt/mJb6tz+26bdmuMq/MlLs9ILl5PmK+H3HM44MSpCxMza0//7Fvf9GDaaDQ+OjT0rW8GfUsB7nmrzM0n+KH4K7MXvvGvTx9/dHTfpg4vnC1wsrjC9g0B9x4eZbhiMzYkuTQrOHXe4u/+pw7vuKvBW25p8dBtNtqKOTNT55NPKFrthHfft8rkmIvnu/iBTRhr4lhnDZpEkqRyANxZ1SBJBcbkUT7tV0OFMHlSmek4tE6xrQTHjig4IeWCR4LH48ckf/BElVNTQ4jIYcewYWPVMFZVjI/YTI5JNo1HbJtscn25xa98oUQcFNiyRVAtayolqBQjhBXS9EpUywYhspJkFEtGHEWcxrQim1YnodZUzC4XOLSrzI++r87P/6HD9HIJraL8wdDEsYsfSiZHHW7f0+TIrjanp2f5+DcKfO3lKnONAiVHUbahZBlsbbAUaJm184VYXxc2dAHejehiXRIeG4hTQZRAkAg6scCLDH4YU7XbfP97VrjvpiaffNzmxJUArQW7t3t81/0N3nFHStGqMrdQ5cJ1l+m5lAszIU6xwc17Y7aOVfnacwHF8uMTKeJfv+vN98Xt2sLveLiMD1f/ogLcY8OG4vunLj77Hx9/4iuVi9dXedtdkvvkEF9+foxLG1b4+x+Zw7Ymce0CtpU5tk4tlfiDR12+erTDwW0+IJheGuflMw5/9I2Ij32jzY8/0uTAFo+xqkYKizCyCOOsURPHeUTvAV1mUTsHeB/cGd1RyqBVitYxjh1jqZCmF7HcjPh3n3aZWhrm2NkqJrUZLQgmxgxjQ4LRimK0arFhVDI5GrN5vMNotcZXX0l5+UyVI1sEw2VJuZhVfEqFEGEFOI5Gq+z3GwNJIvECjedHxKmg5aW02oa1psXCaoV797e551Cdjz3mUlhTaBkBOcgTmzCSeIHFWNXljt1t7tjT5qWH5phelvzu16os1YvMrDrYSlKyBHaXhsks8ewFcjMAcgNxDvA4FcTGECWCICFrpMUxUgWMVT1u2tbixx9pcffBmIIt2Le5ydWlEGMUB7alTA4VWGtUuXitwtU5zdW5mIszMecXfP7+d7WZrIzz5W9aLDQ7vGnPDM+/8Nio0Po/Pnjv7TW/433uW4nJbxnAZ65dYmRks/rEJz+25/T5M5W15Q6zi0M8fqxGpdxEyCJHz1b5+FNLfPv9c2g1iaWKSGlh64jqGiy1hnjm2BCdOLvYlivoJIavvzLMc+d8inaHH3h7g80jEds3htx/OCFNFUNlhUCRpCrXb0tMKhnANgKDkAYlUoIoxRCDjDk9JTl6TvPFF8ucvlYmjIuUtWK8YBgpGYaLJquDVzQjQ5rRqmByJGbTuMfG8RpPnQr4tS9OsLGqGa9ApaSolATlYkzBCfjmBYUfaqwSeclOEMYSVytu3efxwskqbQ+aXkK9abFSd1hcGeZH37XIzMoqL7w6jiUBEZECcawJI4sglLQ9zXDZpVopcc++Dg8d6fBdb1zm3PWUL73o8uK5AheulIiFJggUXqSQQiKEuCHxzPKTxKQkJqugWCKhasc4acgbbumwc9Jny2jE97wtwLEsio6LH2YDIge2CvZtyTrOrY7L9HyR+RWH64uKKzMxF+cipms+3/7mGnfuKXJtIWXT5CoH9wq2j1U5N13j+oXHKk935va879u+S509dzE5eOBb45P4LQH4Y0+/wlNnhH2k9sIPChH/m9XaKlvHNeNDmsuz4xy/GKNJqFiaP/raBK9erPPB+1fZux28sEQUg5IRZTelHYAfQphkQn4/EXixph1XqHsl/u0nRkmikImxDge2eYxVYj70Jo9tEyFRlCWUxggwog/wnH9KmSKU4JPfKHDicgmhNdNzRWYXi7gFxZAjqJYMFTel4kK5IBgqKiplxXBZM1qFsWrMhlGfzRNNElPnk89U8Nol9m4xVIqKclFSLqSU3RjLCvnqCy5BR2JNgMzBFMWSUkHxjrs8nn4lpR1I2l5Cs6OptzQLq0UO7izzoTc0OXa6yPRaGSVTIMr5sUWUqKx5FUravqbRtikXipQKAQe3+Ny93+f6UoOr83W0lXD8iuaPv1FEKJWBW8j1N9EYIAWT9RC2T4R85E0eoxXDvq2GDSOSMHTwghGCyKbZtggjTRQpokQRRQo/0LR9Ta2lWa4p5pZiLs6GjEy0+IFHGhzeUqDeLDNUgoduLjA1W+TlsxIvMjjWPKOjO//N0aPPdu68s/KbfvO50K3c9xcD4KvLl9HK2XfqzMIvXTn/qrw4neA4Hnfv89iztcy1eYfFNUOtGTNcE5y/OMrH/A4feTikXCwyVMo+hmPFlEODH6SEsSGIsoZD1okELxZ0Yk07tqh7RZ45kZKQ8NmXYqSIMWkCJu3dMENeIhMCIRRCSKRSxJFGphpLS8oO7Bw3lKyUopNSdKDoCEoFSbmgqBQ1Q2XJcAVGh2LGhwM2jbdIqPHvPuXy7MkJdo/CcDGP3kVJuRBTLISUih6FQhFHSZTMOTgZ540iC98TeEFCK1C0/ZSWl2YjcyWbmcUhHjgU8OMfXuQX/lhzre4gRIoxEWliiGKLMJL4gUXbU5Q9Tcm1KRZcik4R14koF0Ju3xtiWxF37o353jd30CpGyjR72PNGUD8SGEwqSVIFKBzLxhhNx7dYXLYIu6dHpAlCRRhlVa0gkoShwgskHV/S7AgabWh5homxhA+/OWbP5AhXZodYWNWsNQRLaynTSxGRaXHHQZ89Wx2+8cwxWSzFv3R9avKZRjM89a3A5v8wwL/w+d+jVHIK83MXH7l+7ZIIQptNw5qjp+D05TYfftMK991c4spsmbllm9FqyuRIQsMb4uRFyeSopOgKhNDYlqAYpPhhQhANSj1N1nKPcrDHIsvoi5IwUUSpTZxCIk3WNcjLgN2KiRKghcg6lQrcgsHVBlclOBY4GlzbUHAEBVtSLEiKbjYoUSkJquWUkUrMaDVgYqTNpolVfu2LKb//tQ1srSrGyimVkqJcVJSKUCxkPoXzqymX5x1cO5Pf5s8dSSrwQ83OyZTJMZ+mb+PlwwjNjqTe0pQLLuVile998xJX5hf49c9tRkuNISVJE+LUEMUZ0LwuuFxJ0dcUHIuCk9BoZTmGbSVYOsGyErTMBiWkzNr5Qph199OYfh5TSxRxIoljTRTLDOCh6gHcD2WvxZ+9szHBjp+5CZQKgl2jRbxWgWcXFGsNwWojYWE14fJCzLYtbb7rzR4lPcTUbIWCK3juxfOi1uCR3bv2Xf7ilz7pvefd/2Pt/P9hgO/dUbJX11b/0fLy8j9qeb7cvilm9xaH0UtFjl20+cPHW3z/O2sc2JFQKZZZqWcT4FEEQmbNlaz+LCg6Gj8y+IEiCNPe2w9TgigHeNRvv0eJyICdCpI8UTKIHsAFIIVBdasmkrwsCJYSWNpkdWMtcB2Ja0sKjqLgZhNA5aJhqJRQLceMVALGhjts27DKixcCPvbkJoZdhw3llEpRZOAuSEpuSsmNKRcDXjwPx88V2TNuct7bb5t7geLO/Ya92zxeOlXNRGJ+QtvTOcgtim6BglvlOx5c4/iFJV44OwlGkaZJJoeNDXFkck1JlrgWfUPBVbh2imNbOHaCo1O0TrB0ilYpSqXZChaZAVxgBpLOPDlPRa9CFeWt/TBWhKHCjyR+IPFCSRAIvFAQ5CdvEGbdzjhOQQiW1ySrNUkUZyNyq82U62uG7VubfPdbUhw5xitnC7x6KcWyPbbqRM4vLv/zdlC1tS79DBC+bgBP4rYMg85Pn//K7/y9JJizL1y3qActvu0NNbZsqHBoZ5FnTpY4dXWNt9y5gOvEDFeKNDsWQaRIU3oXM4wFYSjwI5EPI0j8wOAFKU4QZyAPsymVKKavL0n7gwo39HH69e68oaNk3rFUYOlsUMDOu3+OrXAdRcERFAuCcsFQKSYMlWKq5YDRIY9N4zVeOO/x07+1gWszVXaNpVSLUCkoSgVFyYWSm1BwI2zLp+EblFRYyiBlv0CXNaMkUWxTKUR04pROkO3nyRZOSRoFRbHl4DpldkxG/MsfbPAvflvy/NkNGBSpSUmSlDiJCeOUMMpEU54jKQQK15Y4tsncbnWKZWX1fq1MBnCVaVUykDPQCMruSfdBjJOuBEIQRnKdKKsTCLygC+wkv0eGKMqkEmmaV2nSjG62fFhoSpbWIt77cJu5hc08e8JmajEgFh2+7Q0Bm4YLPPnqrL1n59D/9cM/+Har3uj80+pQ8c/czv8zA9wkaxjj/8zsla//nfMXZt0ottg+4XJySvGrK23272ixfaLJvTcnTK/6PHo04q23zTNeLdFol2h7NkGk+9Ehkv1IFMoen2t7go4lsPwES6VYOu1F8Kxz2e+4dQHedfztgluKDNxK0QO41gJLSxxbYlsK18ksGQqOoeSmlIsJlWLEUDlkpOKxabzOC+c6/IvfHOP8tRG2j2QVlnJBUirKLHoXDEU3oehGREnI7z1WRiqFJbNTpBfBTRc4Ft/3thqPvhzSCh06OcDbnqLVVjQcjWs7OFaF/Vtj/tVfXeWf/abguVMbSI0kSVPiJCWKs8QwCFMCN5tWchyBawkcO+ts2tqgVVenkkXwrAmUA3yQquTl1TQvaSaJIEpEpu7sgtuHjp/mQ8t9cPdP2eyEjfLmUC0Q1LyUhDbvuXcFk4a8cGENYxnuv91weLuk4lQ5cdGhUkqor1x1/+hzT/3dD3/bm8X8cvMf/1l3C/2ZAb40P4VJ03s+9oWThZK1wlCpwIYRiaDAheuKx74ZgQoxMuXaSpXUpBze3WL3hMcPvGOR7ZMajEuzYxNEWYcyCDV+pPACnWmTOwrHkmitkFIgZYLSIp+fTPPGzvro3QV4Rk8yIZVUefTOBVWZ7kRiWTLTb9gC18k8T4pOQqmQgbtSCqlWPMarDV481+GnPzrC6ekxtgwLRksD1MTVlNxMv1JwYwpOiGUFzK4OYymBkmlelusnmUkiiWPFxmFDHEc0I7cXDT0/oeVLCh2Fa1vYloulhziwJeZf/dAyP/Ub8MKZCZJUZgBPDFGc5JE8JXBS3FDi26pHwSwLLJ1RtEyn0gd4JsoyPVpn8gpUN19IEogSSRSBH2bgbnUSWp2YlpfQ8TMNvhca/EjgxRIvEnhxlmgiY7ZubPG3vqPGzomEm3dAmlrMrnQQ2GDKzC+XOHlBc3kmQVkxLctjU/3FwrkLu+75H/Eo/zMB/Kmvf5Gpa0lxZupT9nhpha+/7GIV2vzQOxsMV0YYKrlcnlUsrmoanZSNrqAdwvFzBb55POHJ403eeHude/Y3eeBwykTZwhibMMpF+IFNx7dptmwsywZUpidJu9JWk2lRBtWBPXT3wS1yWiJzaqKkzCN3l56Aa4FjpxRcQ8HJ+HOxEFEphlRLHmPDDV6+6PPP/vMwJ6fH2VRVjJdShgqCsispuopiQVBws4cja/WHvHBW0PZtXEUOpIyDd4cQklQQxZqSq7j3phYvnq7QiTKa4gUJHU/RchSOrbAtO+fPVQ5uTfm5H17iJ38Vnjs7QZRKojTNh6UHEnNb4thpFr1zbYqVP9zZO7uOMhdk9Vv5/YvZbZRloqxMdeiH5DQqN1RqGeqdTEbbjCTNEII4RRIxVvJ4x31N7t3v8abbEjaNOrQ7VVqdAh3fIok09ZbN/IrF5ZmECzMhK22fH3xvA1sO8eQrTWZWPm//6Pd9oPi1xx7vvO2tb/nzB/gTL1zDHtpavX7mY7/y6tnkwYXlbL3G2oLkX3+8w8O31jm4S2Bpl5GKot6Mcw8OQ90z1DrZONnvfaXKx7/uMzne5r6DbT70YAtLKnZuEmwsa9qeS7lQxLHLBFGJlq+wtAAUUqY9tVtqzLqksqsQFLnISOVvrbKBCEuTJ7ZgWymunQusnIRCTi/KhYChssdwucmrlwL+2X8e5vjVCSarmvFiylABSq6gVFAUC4piL3onuE5Muejz1HGbesNleLjfJu/CJ0vgBFGimBhVvPmWNk8dTfFCgR+mAyCXuJbEtXQ2aK0LSJlycKvhZ394iZ/8VcNz5yeI0mxsL4wNUWJ6kdyJZE9daGuJ1hnQu9Lg7Nrks5yirzwcjJddqtJVa3Zzn7afMrtmWGxBI8ym9d1CyMGdHWwV8qGH2txzIGHjqMZWLvVWkesLBeotl3rLotnWNNqKWhMW12IuzYXs3dXgB28NGSsNUWta3LYnQNreg1PXzv3GO9/xnh8z5nJdiN1/zhE8uk7cWPjJY2evfGe1OMf47jJ7t0hW6y5TCzZXrocc2hqzY1NM0dXUKzb1VkqjFVNpJ1RaKUMdQ6MgqPlFZhZL/MFcwu8/HuHKkLfe02T7eES7k7B1osGdeyPi2CGMVC5tzUT4vYTS9FvPvZskRY93y7xN3X1b2vSUg46V4joprp1QcGOKbkTJDSgXfUaGGhy7EPCPfnWMV69sYKJqMVFMGCqaHNx59HYlBSeL/q4TU3RC4jSgFToIJbG6EbzHwUUuYpLZ4EFkUbL9TC4Qugx3Qe4ndGyVr0SRWFpj6e4CWsPhHYaf/7FF/uEvpzx3bgNRqgkSQZikeRQXuFGKYxlsKxsG6eYdWQSXyFyMpfLTRUoxEMnXv/p5jsHSEqUlquDxnjtW2Tbh0+nAtomYd94dIbBIU5cwcmi3HRY9m2bHpt5yslnPZqag7DqOrdQShEnYu8Gl1Rjh1DmLlWaCH0li5ti8yf3OK5e3X47j8Kf+XCO4MeeBzdu/+uWPHmnUVnll2mVstMWHHja4lkscZZqLseGIOEmolCwaLYvVhsVq3catJVg6wtIJrm2oOAnjkcCPBV7sECYOj79YIY4NJjWMVmJe3JmyfcxQKqa9myPycN0DNv2JciHpRSUlyBPLXDWoDVYuQuqqB10ryXlzRMENGK50GCq1eOFszD/+tTFeubKB8SHNeCFhyDWUc3AX3Kyc2AV3wUlw7ZhKKeTsVcOTx0rYUmKpNI+QfdR0VXpRoohTzcO3R+zZ1ebytQLjRfBDk72DhI6fR2Gt0NrKk8OsvHfTdvi5H1nhp3415ZnT4/hRgSCRhLGhGGeUxbHIQN7l4SrtAVzlp5rqSmp7ABf5STigW8lnVhGCgiu4Za/mvZsMt+6F0bJFkkrCuEitYRHFWWcziDR+qPF8nZuDapbrgpW1hLVmTK2VUG/DahviRPPJJx20TAnTDq4b8KE3dRgtFbh+bYkrSy8fed8Hf3T7M8dnp99wy+ZvPcBbjVnicHjH6sJL//bqtdr7HdnhwNYSL1+0+cPHG9x+sM6OjeB3BLO1mC0TCXu3KfzApdkusLBa4uJ1J5OvGtAqpWBnnDFKTDaokP+ZyQFrSwty3ldwDYIsCnfLfmKAO3arJTJPnLIRNJMDPMXSBq0Nts6lsVaKY8e4dozrhBTdgJGhDrVWh6dPwc/9wSQnLo0xloO7WjCUC4KSK3q18qzykmbR284AXnACwiTB91xclY3ByS5geoGiX2eOY51xeR0QhAYvEgMAT7HtBNvSWJZEK4WSVg/gCLh5p+DnfqzGv/7DmOfOjTLXqOCXJNXEUIoNBcvg5G8r6pZIswc+08KL3kkn83xl8BTsTjwJIXplViUFriVRpsLUrMuMjlHd8bheaVEQxZIgUviBpO0r1pqC2aWYK7MhC3VY81L8OGH75oAt4wlJIgh9w4GNMXfsl2wZGeLlsyX8oMGGrUvvP3viheSt9x3+u1PTc1d3bt/0rQV4c+0qaXHx7pePX37kU49dZf+OlAPbwNYux86P8JmvB0QktP2Epp+yY1PEbXsjtAh5+11tyuU2tjWJUpqCI1ES3Jwz9sfJ6Ou1ZTb8W3QUxaLKqh46m5lUuQQ0uxkmB7zJb1Ju2qNM76tWBsvKQG7rJJfHxjnAc3CPtFmuefzs7xX53PPjrLSHGR+SjLs5uN2MdxfzxLLgSIqOySN4xr1dJwRCnnjVphbZjDqs02N35yN7QxpJNvxQcTRvuq3DC+dDWpHDUJSV3PwwxQ6yB9LWGcCzv5eFkAZEFg0ObJX8wk80+dILHj/z0Q3MrAzjVTVVW1COU4oxODHYKpfQanqJppZd2id6yfBgUiyFWJeoYySREjQ9gVmxKHUkjmX3LOSAnnQ57rpsRQI/knk1JqEeeZSrPu9/S4CWhlv3hOzeBC3PptVxICnQ7pR5/qRmeslj/46QEX2K1bntj7zwavn3orBz9VsawZOohdSlvS+99NTf/ubLxzm4zcHzJSemJNvHNDfvkcwvC5YbKXaSYhlYXIDPXzckJuHU5ZCRAlScmIItc04pBqZH8qZATqy7XDszqZe4jsqnVbocmrzM1S91db/v/Vx1wZ3mkTvr5NlWjG3FuHaEY0eUCx5ad3jqeMJvfLnCF5+dIEwrTFQEY25GS7ISYLdOrvK3yCP3YPSO0Drgm2eqdELNxqLJH7wbIzi9dngUK1xLcc9BjzjNAO5FAn/QkSpIswqIFnkUz+vXWd8Wg2CsKvjON7YpO3N89MseT58ZZSEq0HEllTiL5q4Gu5uH5B3drPEj+tdvIJoPAl5JSaIzv5VsKiirj/uhxta5XcXgCTU4LJH3K7SGW/YKHrjNMFxOuWm7Ik4swmiIZiOzrWh1LJZrNrNLgnorWwJm6WzLtFN4iVuO7Pjbdz748Cv1ZuditfJft4T7rwJ8+toMUxc+Q7lc3bS0MPXQ9GyTI3sSDm0XLK2VSdOESkFSKdpsaGWmjn6QtdfDmOwvEFh0UkFJy7z+nGXqvZGoG2rZYrDrmJfzMh4J2spuTlYVMT1Oug7Y0qDyhoalkmyoIddi2FaEY0VZ5C762HaHP/ia5v/5nQkuL49gOS6TZcGIk1BxDCUHSvmEfcHJup1u3hDK9CsZuJ2cnqw0E9qhja0UdvcBzKM3dPXXOQCS7DgPY4uC5TNZ9ah3yniRIIgymmJbKZaV5GU+lVMENdCg6QIqUz6+/w1t7jy0zM/9rs/vf3WctbhEx7Eox5KyTinoTHuTyRUGQC67JyP9+rgU+UmZXWsr6Y4DZvObUSyxgj5t6QkUByovxmQnsyDLAQQWJauKTCucuNhtIOXdUV/Q9KDeSqk3IrwgYWHNYaGRcGgX7C3UeOn4mYfOXmdTq1W7uDA/w+TGLf9jAE/ShOrke3acv3D21x5/+hu0PcXjL0suLXh84IE5RkpFVusVlmsO9Zak5Sk8P+9mRVlkRmRHYrer1hX/96LZQCey12LvzkvmETujF/1kUQ1QkP73+TCDTNG57sLSXaFRjK0zKzbHDnAsj6uLMb/+pRKfeWaUK4vDVIoWIy4MOwllx+St9y6485PEkb2mULcC49gJjhVRKQV8+puai9MFXCXQeYKZDRn0Ud6zcTAZD49izYHt8J47W/zGV0ZpFzWVyOBHBifM8gZLpWgts2irGAC51b9ZJjsVto1J/vH3dDiyc4Zf/eIIVxaGWI0LtC1NWUNRG1yVBQy7V2UyObjzr3mu0wW8UhArg04EcWzQsSEM0165UXTr/DnAuxWXdOBU1krgB5LVRkZphMiT7dgQ5CahLS+l2U5YaRoW2ynDQx3e/0DAno0FGi2XVnOKI7fd/mu7dz/0zna79V+lKv9FgJs0AqE5dvzlLdPTJ3fv2rjKzokyp68orl93+Ve/3eG9b1jhww96VMtV1houzY7GCxRBmPGvOBH5X7AbGdJ1HnpdZ6lucgn9qoiUWTTWeQfOyqNyF9Q6B7Ma0Fh0xURZ5M7BrWNsK8TNfQZbScgvfcLho18aY3a1SqoKjAwpRmzDkJ0ZB5Vy2WxGRWSuU8mpSV4774HbzrqXQRRyccahHToMOzk4uolat/xmWNfsiRNJFGkqJc3OLSHK8WmFZTxbUMiVlLbuPqgZRdF5bT+TAL9W8qoYH+rwo+/v8MjDC3z0Sw1+7ZNjrHolPO3iWoqiEhS0oSC74rPM+EjJbtVpAOxS5NcXdGRyqpQOJKhi3SnVnRTq9in6gSunPSqryHQ9FKM4m9b38mn91bZgtmn44JtW+MC9inp9lOlZm9NTUA8bjGw8vtt25JZDh+662vESioU/fdXUfxHgtbVFSsXS+FBBf+Lc2RPWtg0xe7assX1ziaVVh+fOlvjSCy0eOLTC3i0hY9USrY6bG9DrnrFlmooB8GZdmT49Eb0tCsZ0HwaTR/EuLzS9+UktB8G8HtRaJfmFz8GtMkriOhmwG37IN09I/uBrQ3zymVH8pIRt24zagqqdUrINRcdQtPvgdh2J40icnJpkjaG8MpED3LayzufUvOHpl4uEkYVTMn8iwey+UsPAoHSmwbEszZvvbPGxx9ucnynhuZkZT2AZ7BisKMUKU5SSA6DK/Eq61GddjT2VFB3NhqrHP/xOj4Pb5vj9r5U5enaI5U4JXzlYdg50BY4y2NJg5ZJi3Y3sPfrX/ZlARX2K2JNDDMzBGTJZ/jqakn/IG0/ubvOoHWSJaz2ANT/lwI413ntvndOXdvHiaZulesiKZ9i1WXDq5EnrpoP3fWJppXVLx2sv/5kjeCcal1fPn7771WNfG5pfiplbKvON4x6H99QgtbAdw5nzFv+fXxnhbz7S4K4DHoWCTbloY2sLP7Txw8zmIU0lcd7BS1NBYmSegPQn4s3gg5DrI3oJ5GDklkl20XMwrwd3jFZJlkg6IVqFNDoRz54S/NZXynztWJVao4wouJQLiqplqNgpRctQtA0FmzxqZ5G74EhcO0tyXZtcoZfiOEn21cr4t9IBF2ZgtuFmjZVupadbTx7g4PnsTL/akErCULOhIti71ePktZhOZOUaeLDDLl9OcoqSvyXIGyZz0oGgkSSSKMn04R9+s8fb76rx9Vda/PZXKxw9W2G1VaQmHVq2wtUCRwpcmf0uW5o+0HvgNusoTDe/6DWx8tDdE2oNTOgnKSQDM59JKohS8EKDF4K2E6SKkY7Pe25t8uOPNNi1zXDy8grDow5Do/DBnRI/KJHGAS+99NjQGx98y9179x34Cv8F86D/IsBFfNkp2MEvX5ubKo2PhlQLNi+fHeKPHi2x2oyIEoNbsrgyJ/iH/2mEOw81cXXAnfsCbt/XwdWSA9tTtMw88QQKKRWer/ECizjN7Yvj/sCwGeApMh8SljnAe0CX6Z8At1IJWsXZdLwboWXISivhqZcVX362xOeeHmKpWUa4Lk5ZU9aCIctQtFIKFjntgIIt8rfMJac577YFTjd62ymOleBYMXZeajQm4oljDtPzBcZGBJZM87q86A/69rhfVi/uOQEkCi+w2L5B8ObbOnzm+ZB2ZOFFAtcyOLHJDe27Utck4+B5fR0h19GU7C1zdwFJnCiiSFNwAz7yRo+33rnKZ59p8aVnSzx1osxSo0BLOHQcjWUpLClxpMGReWkxB3W3K6vFQFlWmJ57Vjcyd7X5USIIE5nZN4eCIACjElKRECYGS8cc3O5T0DF37ve5Y7+PKyV3H5Qk6RitNcUHH0iIopjl2hCXZwqcvm4oFX2C9EKp2Xnoly9cun4Q8P5MAL905TnCwGOs1GY5rDC7pNg0rtkwrGh2NM1ONmbV8g113+bkuXHaQcozJyOkjhgfCnjz7R2KdkoapezcHPDgkYjRimTTBk2jWaDl20RRbgHRnYany9n6HnvZFIpByQFQywzYts6B5oYEYcyFGbg6L/n4YxW+crTCUq2EsFysikVRZ9WEsk4pWJmvtmtl4HatzJMwk5nKgbfI/9xkIM8bRbaVnRTFQsjluZSTUw5YFla3yST7+o7B/nefn2aVlCR34woii8M7Aw5taXNutojnCopxVlHpVj0yOtbVkaiBEmSfqwyaIcU5wJNYESXZqVp0A77/HT7vvbfGoy+3+PjjRabnXM7NFQlqLoFr0dEaS0ksJbBlNpnfpTBamPz3v4Y9nMkidZiAl0iaPrTbMaPDPuNjAQ/c4rF7c0gUCgp2yptvjxirCCxpY+sSbd9ldilTmbY6WQe02ZY0WoIkTdkyFrHaLHF2qsO+6ZPVB9/woe9ebSS/MTqk/vsAboJp0fE6f/vf/Oovj80uxjxwqMHdQxZh5BDHFktrFjNLgqW1iFozoeqljJfBC6EVWLRDh0a9xB9+dYQgzsT5w0Mhe7b4HNzZ4e59He4/UGPHRptm2yWKLeJEYkymM+lqlDOQp5ndg+xOo2TR2nUjLB0TxzELa/D4k4pLMy5PvVRkbs3l0lwJHAddsnC1pKQMJZ1S0CYDq84A7ljkEVrkVETmb5UDnJxzm3xSpt8osnWE64ZMLcPZq0Usub482KMo9PXgvcpRt5KSgzCOLQ5t99g70eHUlZhObFGKBI4GO59RVQMAz9rrcl0k79GUPOFMU0GaCNJEEqcq/z0aP7CpFEK+960+bzjcYrbe5ImXbK5cd3j0lTJzay6BZxMojXR0psQUmeTYkgZLdLu0hoHqIImBMBX4MbT9mD2bmzz8YIPb9wUc2G7Ys1kyWs4S6zB28QILz9Os9rZvZIPLzbZmtSFZWjPMLqUs1VPiNMFLUiaHPe450qJTP1FtNt7940olH4V1Jgr/dYD/3qe/SZok39mpx6WZuWG+tBZQKkfctKvF5IhkZMRmYrTC6csFlJK4TpwL3vOdN0nSm7zJjilJJ7C4fLXEmavD/PHjAW+5dYl/+ddq7JwM8QKHONZ5VUUMALwL7CQ364lx3IgoTZmagVNTisdeKHBq2uHMlEszcAkCFywLPaRxlKCooKgyYDva4OgcsJrc6ozecICT0xLbVlmTyeqDu0tN7O5bZw0jk4YsrkkC46C1zI500Vfp3RDAeyBPjOjRiCSvhws04yMhUvm0I4uyFhRycPdFY+mAEjDXiPQK7bI3umdyA59kgKrEsSSyNFGsCWOLtmczORyxdTLg9p0hXujz/VebnL5q8diLBU5eKXDleoEosYgcBTKjmVJ1H6x+EyvtVYdSkjBg7+YaP/ODKzx0syIKyyRpgWbLZnFF5w63qjfwkrX1ZT56J2l5grnllLPTPsruoIsJ20ZDDu1QDBUcinaVS9M+V899FaX+O6sop1/9KtPzLfWbn74kDm4O+J63wpkrJY5fMnzxuksjSNg4HHLLrhAtCpSLmZS1O1kSrzNz7LfjoyS7UXVPMlMv8qUXNmBMzC/8RI3JkYgw1phUIgTYOs1E+Crb4eh5KSkpl+YlH3vMpRNJXj3jcvm6y3LHJkhs0DYoC6sicZSgoAwFldV8HZ3xSUfn9V+LzElWk42tdcFtZd3T7J/BscmrJlnL3NJpH+BWRMENWaolPPZcmUbLYXhIoGWKVH3pwGup84zJKw09Li4JAsXYqOLt9/o8etTjWqOEZ0n8WGBrsGKDlQNd5eVWKZOsXMig10kWU7NKhs7H27p0RWAnCbFWWEmMpTRRbKM7dlbutCPecFPEvQciPvBgwIXrDY6ftfAixe8/XmRqwQGp6XiaKNR0BeVGMbA/JWLraJuf++Fl3n6HZnltnMXVCo22RRCqnnVz3H3HWcMnirutfQjC7O9556GYI/s6bKgqWu0S7U6B4xclZ6Zj9m/3GLJOiWX/bvWpzz4Wf/Db3vrfBvAogU3jpV+6ZZt38+KKw3E/5LZ9HpYaZm5FU2umRHHC/JJichRKrqTgStKum2sX3KnpmTqmqSFOM4/pDWGK68BpT/Hkq0XmWmts3OSh4syUptGB545r1pqSggsvnnX4/LMuQSzxI4v5RYdUWERGk2IhLIV2JVZeBXAUODLNSl8qA7alu1qMTA/u5Oo628r23HRnM21b5TOaohe9bSvFtrsCrX70tu0IpUK+8YriM8+XUbbGkVmnVQ3Skz8lgvcnZroVD4XvW7z3Po/PfbPJ7z8xRDt2KcUCZ5CHR90kz/SmhYToPkm5ntvIdbOVqZUntDrj+7ZOiGNFrDWRTtDKIozjnP5lvYMhJ+bufTF3700QMuSDD3kEceZR+IVnXV46Y1MoCFaaiuOnbJodiRDZ/d465PHG23z8cJypuSoziyW8QBLFeQc3hTTJtjVnOUhWbem63RqyhH9yuETkuUw1JasNxfyy4cJMi1v3G2zl8uRRcfOBw5VfsrT50f+mCD676LFpwq388m99Yr9SS+rBW2P8wCGJFQd2hGwc09TbiiC0MkGUnV30rrFk70gcEFClab8e2jXAvPWAxw+9fwGh1vitzxb5xbbMfEukoN5RHD3p0GxaSKUIjCJIFUZkEUPo7KjUOaDt3ttg52UuS/Zb0b2vOovaliLfTkY+r5hF70FwO1Y27Z8pD81AUpn0kktHRxgTMrtiEwYuzpDEzsGtcqHSui7mgF1at73eA3kqSRJFGFkMlxVbx0Js4ePFDl4sKOjMoH69TCHNVZVdSid7v6tbjuwOKKe935Mla12ZQJQodJz1DXSscxqYJe8qTNb988bRLLGXMuHAR0IifKROaTQFR08qGp2sfIiEelvw9//DECYpM1GyKdiid/+7Fs7diax0wN22N6EloKMErU5GiYLI0GiHNNopWlucvCxo+zG339xRh3Yu7d9z03dXTNpsCln5LwM8CReYm1c/73LtjXOtmKdPxmye9IgjuOdAys7NLo12kXrLzrqUZn2NN00HmxiDO3CyD60EuE7C5vGII3sj/DjkF3+/zLGLJZRlgdAYqUnzupQQGfCVzHXLIs/oRV666iU8pler7ddt+4DoTtJrlYFc5xP1ts6Hcq1sa4Rji5zC9GWmttWV2Sa5aCvGsiIcJ+L6SsrvPloCbWNJ0U8we/RE/IkIPtjpS3KrucyiQfVA/r1v9/jsUx5nFsu0E4tinC2ltVS/q6gkiHwnT+93QS+S9xLafNyvX5PO5axJihWnaK3QcTpQocryHtn9KvM8KE/2ZZ4TSZGSxinDbsK77suAj0zQVsQrlzX/8qMb6HRGOLzdsHXEx7Fz6W33Aew63N4YCOm39yEmTqDeyeS1Q5WAuw/6dGLB3ROKlXqRx56de2Nx9PrPJ0n8N/6rEbw+92mUlLaIrgOai1dLPHnM4Ec+z5/1ed/9dR6+ucG4X8HzbeI0t0nrZu6D2Xu3O9nz486sC4puxPhIi3Ix4Pc+V+DqahEKJRLLQUqNlAIrz9iVyBI2S4IlTPbPElTP74S+Em5gFUlP76zBykfWLJ1P0yvRG+PKxFw5uC3R5+f5SJttZ8DO5LZdwVZWPZEyZHpBsNx0EVrj5A/cjRWUbv430KlfJ1Po18OzRDCMLUYrAdsnPc4tBHiJxk/ASQRWYrDiLg/vDg335Q9C5GS46xHT+10y37yWR3At0ElKolNUkqKlzLqkXfmDND0HLJl/3/uZWP/zzNA06dEbxw7YPhLy7W9s858+PcL0mkUUG0pOmtO3gZJp16e8p8/pN4oMJjMnDQXtKOTBW1q8/76Em7ZLPN9lfqXAWt1w8sIiU7/9ZXtwucGfCvCVxauZbsR4lAqat90lWKtbLDdsri1VePRFi/3brnP3/jYdzyVO84Fgk+17SXNnpO7PBtvvSmZy1UrJJ0raPH0y5o+eHGXVryIdF1srHGmybpo0eb01q7vKAdBkFGBA/939uRoEPfnmhm7loQvy7tBxpmy08+l6285Vi92SoJXmkXsgeltpFr1z/h0T8aVvFlhcLmANKezuZ8mbIINTMesbPaIfvQYCQrfp4weZg+277m/zzRM+zdilrTWFfO7SytV93b+/zK9HZuDTbep1BT8DoEmzQe0ufdT5UqxBkVq3c9z/mvZ7ETIzMO0233qgF1m0z7rJCXFsUXA9PvRQh1OXlzgxNcrJuSLVgsTR+cnTP8wGwJ2vPkwy0Md5N9QLIu4+WOc9dyrsdIKvv+CwUjesNFO0FbHajlltX3stCr4e4P/pdx/jVK34gON/6c7Qa6K04eE7mvh+NigaRgKtQxwr4tPfFMwtZ8lNmkLRgbfeGVIpZNM55jUAbumElYbhK0cVp6dtvvTiBFcXq7iuTdHKSnlOzp+VzJ501a21DnTNMm5r1vmeDH6vVXfvzoCwvztN3o3gObAtnYNbkyegpg9sy+RRO+1TE51Fb1uHLDRSjl0qgLbROT3R8oYEk9dIMm9INLtULlnXecyGbkerHo1aES9WeApsmfu6xAN6+FzWIESKWFe1kfnv6HY3M75r6Tyaq+wdd/XgSuaBY+Dda7bR8zPs3Y8uyEW3w5qBPNSaONHcvs/jP/zdOl99scOJ6SLPnCqzVLdQaqDik18MYwxJmjJUiHnnnQFFN8WkKYqUhVXDlTmL3/nKBBpNGEfU2wntyPDGWxNcC27aP3zn3/+rDzzw73/qC8+ObnnvawO85UVo3Xn3i6fsW3ePBIwOaaYWOiDbtHwLJaFRD/ntJ8Z54tUStXYm2UzTbC7x3hcCym6KSfJdOF3VTfdyK1htap4/X8CPXCxhU3YFZSuXb/ZUbF0dh1kXobs3rwvuLr+9EeBd0X5vJGsdwGXfF2UA3P2kMp/+yUHtWH0tuaUzeqJ1hBARX3zG4ZunykhHZ8Draqfl+gevD7j13cwepTODxv2ZDbTnW9x7k8d73tDi179QJkwcOonE7VIU2T+pZN4ME7EciOA3gjxvLGl6CWd32um1hkeE6HcpRRfsucXbIPi7CtEsGc1BrjVBaOM6NpvHAn74PT5h0uDl823WWgKp0q54JWvsdalJkvnF33M4wrWyzyuFodGBbxyPeOzlNWptn7IAXUwYF5pOUqDitLjnQOXWdqfzbkn07GtG8MWFOSrl0ts/95UnvueKqrNWr3BtTvDkMYeGb6h52fxkO5DUmhaOlGyp9G9WksKxU1nZp7f/Jc3lkgMXW8nMi2TYyeSark4zYOdVDzV443pzlmJdRLyx/NYdrerPZvbtELTqL5nSSqC07EdwLXpjcNZgMpnTEiuve1t5cmnneygtKyIk4o+eqJAYByUzaqVuaM/3LCzol+/61Q2BwfQAbnIHqcxJShEnGonFR97U4fe+FFBPI7zExU8EdgI6AZUYVJyP7sUZVciS8vSGDb+yFy0HvU6SfONad6KnF5V7J0K/o5xxfNMLMEKyLtp3dUKZjDkTvgWhRdtzcKwilpVw+95MCNeV1GWfpa+Z6X7ttCWttH/6a53yxptjbt6V0gl8gtCi2bJpeTZrLUW9UeLVMy2EG3zPTbe848m5udlHN23avB7gQRhiBXpPvdnePVxY5r7DsLRWYWapwMwSXF+MqCeZvfCmosn9qgc/aFcx1r14ea3T9KWx3bQni8ppX47Zk2b2TXJ6R69cr6cePPbpfh348y64euNXvblDmeuYJVrJrAauug0fcwM9WQ9uSyfonJ5oHeFYIccuSS7OuRhloaTEzs09VVfqe0OSeWMVpTcUkPYpSpeP90qGscXujRGHdrV5/kKBUNl0EoGTGHQCOs4nbmLTo20ZuCWCtO880H2guvcpV/XpFBIpsgdFifx69z9/9v83A9fcDASUQZB3I3+aqzx1puwckDZ3k+F1ctmcxvZVpXJdTjKYM8q8cJAkglrLYnpeZQuvVhIWmjGHd7a5+UhrdxoHe9I0evRPRPDVxjKtoECxUGNipMWnvqm4e3+L2w+5jAxVkcKmXcn0u9B3kxrc2NVdTddt6vRmLpOBqR1unNoZiLay/7M/Fdz5FerKjwdP/3WRvLv/UnWnwWWfonRHtqy8Rq7JOpS5Z0r2fdobNLB11tjJ+HeMIeKPnyiyulZA2FYmQroh8R000VnHUAZKhCa9Mar22/ZJmvlvj41IPvzmFscuVQiSAp3EppCInKYYVNxPvHtUTZj8OpgM6N0o3uPjA5RFmQzk6eD165bp6J083c8vB6J612Ws+2AoKXtzsbIL7p6LLfmZ1e8BdKXS3a9xMphw0xtCN92SJ5DEmW789FWfi4sBuzfVeeSOmGdPlLi21GJ7awHf74sLewCvTX8C2xJEtYCrs5PUVwWf/HpKmMCQK9g+IRgfsbvUKdP9DrhL9Ro7ecG+35nqdzO7lhEMgHMQzD1wd60WJKh1Hh036k77AbH74+6/2xsKkLllm+oO7Wanhd0dYLb6kdvqteKzr33L4bwRoiJcJ+DstOATXysTCBslJY7sl+1u7GAO9nhu/MyDN3uwZd+thyeJhtTiw2/z+K2vdDgxVSBSGi+WODLFSkw+3dOlCmKAWqSsG5IkHeDj+QOlQKX9fKUfoW/IiAdfA/eiN6W1Lor3wT5IebqvbsUkm+2k367Pv++e/l0teboO6NnvLjjwrnsTyqWEOK7SbFsc2gzPvjjNl5/9FHJAHq4BTHQV9PbiL/yH/7Rz6uoZdk36bBwdYrmuiKIUx5ZUSjI3cu+XdpKk39iJe+Un+huGY0OUpPlXQxL/SS/BwSg9OMk9aFvwWs2S/gmyfrlrBvLuxEuuuhtY9Nqvh9OL3L0pc532PLT73+e8W8XZMIUVcnFW0woz3YuWXXGVWRdF11VQekdO/7Nn1YP15cIbVyF2lX8lS7B/s8+JiyFJ6uClNm4isHKK0i2NhqLrQ96NmH1ODhJDmiV1XcqS30eVQpIHlcFXam74vIMn5wAlzIJJf7pnnVZcrv/vpT0zz8zrMIxErluit2E5Scn3d5rezs5uF1RKcG1Jq1PAtQuEUVYu9JMOt+5N2LV9284HPvDjxX/wt364c8vBLRnAlxcXKJcabzuyb/gnz55JuDRTZPsGw237knzAN0Hr7ELGKcRx/0iJe3rm9U9i1w8jzOcKw1yI1V2n3Wv+9BKyLu/uRt6u+cwNLkvdyNezTe5v5TUDNyADWu7eJEU+10kP5HbX6Ur1aUkP5FY3esc5/844uOOErLVS/sOnyqx6LsLRWQPqhu6lvIFWvdap07vhA8MP/UguB5LNbI3K3/xgi68fq7AaOARK4yUSRwp0kpdT4z5V6P9+0wN3N4L3vnYjuYRUgkxvmDpKWd906aG9C3AxAPBBuzzo+9WIdUEpzad5onw1TZib5UexWbdCvCvSy5Jgk+Vy+TrDOMlOda0zjFgadmyEAxsVSRTSSSd+8tXnLz4bR53P9iL4S69cwnUcLk/NMDbS5s6DirFqiqUjZNfQJb8A1aLA0ppG28IPNWGUTeRkugaZg1wSRqInfWx7mad0GGUr6dLUDHDxvpOS6s73yT6H7k+l94HSrR0nuVCnr3npc8fBB6XX7OmBPHO5spTp7XXXuh/BLdX1Iu8nl5aOsO2Qjz9hc/pyAaSFzCdfdLf5JAcrDwNH+WsgfPDQ6YHIMMDBuzVxTRxbHN7d4f1vaPJbXymQWg6elDipQCcy6zwmotdgUhJkahBJzqe71ZUbQG4AlQO9P3bWB3eyLooOnJR5brHOwVf0/VRurHwNPjRRklXjvCD3FQ8yeXUY51G8+84bPkEs6ETQ7AiUlVApZatXjMnOICVgpq4Ynzcc3t7BrVzDUCCJgz5FaXgOYerQ9F0W1xyefDUhTqETa4IYkiQlDFOkjLn7UMAtu2Nu2pZSdi380CGKsq1fUazy9SOKMM58vpsdjW1pVFvg+QKdqHVA7NOTQR7e7QjSO+q6EXxQwxHF+baHOKvY9Cor9M2D1CDAexPjfXD3IrjKrSZ676Tvq6Ky+c61Rsrnn6yw0nDBtdFdgHeTqRuSPZF/6D+N1w7KG9ZFcSNI83p4kmTjfsMVxfve2OFzz3msthxCqTKQS4OV83CVDHDiHlXp6rXzxr0wiIQ+2E2W+hnRL2N286goyZYNxHGa50/9p7LvejVo+dbPewapZ/c/nBqI4zSzh+gkNDopTc/QyR0Y/Ag6ochNRLNg6EUJlWLATdt9Du8JuftQhEIShDr3QNT4kUWSaHTiMFoxbBxPiKMkA/jczGUmx0d3fPHx5358aekKuzdJltYqrK4Iau2EppdZ43YCgxenvHIxoVwOObyrw77NHu+9d42CJQhCjUAyOS6oFMl+cWCx2ihx4dowfmgTJxlg+wMN3ZXa/RvT9eBQvWhk+s0Gsf6oC0KBF/QbGV2ED3oV9tv2fXCvs53Qpgfq7kjYoN2EzkuDthVx9argwrRLKmyEzFrz3e0NcuChFANH+J+eXN7QzexG71zpN6gwjGJNwWgObA/ZPemzWgtIUws/sfCl6Nk99GQCA59DDjRsZAoiMQO0KYvsJALy06crmIuTzPck24+UkiTrCwT95tqftHxTgzlUb6Qu4/xJvpFipZlyYc6w0s78X9LYUCgljI9GKJGgo5SiHfLeez32bko5vFMyVHBwrWLmIe9nwxqNjqbeFMyvwPW1kHLlOjt3H/rxsR1ve/XsuctXdRTH1JqdyZKbvr2katx7OMF1EmYWi8wsWCysKhrtbFVFy880uYtNm8dfKPNlYj77rIdFTBJnTq333R5ycEdMFMUZd4ojRJC5XAkyztQrEYrcgH1QMNWzXev+bFAX0b/CUSzo+Nni1yDsykNNjw4IccOJMPDf7dGUgV31PWDn9KQ3yJzTE6VivvR8kYvL2bSQkhK35xtCb0WJGOi4vpYW/E+AfaBUaNL1Y2xp0u9shoHFrrGQd93b5qWzJUgiQqHxlMROBj5HIvoNmHX9gX51RSTZUEkqMm2KkORXTvTq3cZAGKW0OglekPHi7tUVAw9zt8zb7zvcCPQ+XexeC9tWbNlgGN/UwKQtMAlJbNi/I+LB2wOKVkoUZct9t45rkqRErVFmbrHISsOi2VG0PUmzbVhcTZlZjpleSSi4ApO02XdAvn3DptYkJr6q236K1CktD85cdzh6TVEqeLzrziV2bRumWinRaOt8rYih1kwYW46ZWU1Z7VgsLFqZOCbN2rtXllMcKwOvowWjRTi0VbBpHIpuX8Lajag9P8Gu5ZpcH2HVoFtVXl/NboCg41v4oUtQ04RRZqElcw1Lt6HUW2GSA1sNRHBrENw9kHfLgv3qSaEQ8vx5yWe/UcLzHSjqnjRW5wrH10wwB8DcK3Oui96D3cx+UywdWEk+GMWHypoPPBzwlefavHjewZSyKO4KkQ86Q9xtnyd9qiJlpg8abNKkKaTCkIp+9aQXeFQW4pfrgoUaeAGk9KlkrznXC0xi/f3sLh7ITT3Xd5Ml5YJkywbBgZ2akYqNY0VImeJYEtdxEECSZn/netOm1nSZWSoys6ipNbMNE16Q0OwkrLYiypU2P/ZITMmxqNcNpUKK6ySQxmhhYgQRSZJScjSbSg7tjsWzx8vcfyRh1+YOUSwIomxurtEWvHgaVpuG8WLCcKG7Dz4/94xCiixCFm1BtZSJe4yh93On63Cq0z9JGXL/k671Whd0XacqWyc4doRWIWeuWZye3oDXdig42e8RyExIJwYpyg0eht2HqQds0wd2r+adcW/bigjDhK88V+DMtSJYNkJmkztaDkgL1uUM6xtT4jWjdy5+6pUKB8Gd9jp73bp4nGT6joPbOrzjvg7Hp0oEkU0kNV6aRXEr7xsMluhU3o6XwiDTjKYkKchUkErT28cDXaFaJjorDAmGygGXlj3OLhfQyqJkGRxlcJTo6+x7Dr7dXkCucZG5qacy+eIvgbG6jlyCIFIsrQ4RhQUKboytU8RAd5yB/oAfahZWEl4+l9Ls5EvI4qwSs3VDyr2HSgSew8qKQcsmaRrT8SKCIEafOPYFXFtx9XqLTRMhDxzxMUahlGG82qFS8vLOlmClIXj1eYtjV0qI2KHsmnWVg0yymt1wW2fT6cWColLSuI7AsUx/vlH3Kxc9/tutQQ/QBa0H5h+dEEsHXJqL+fzzDp94coSqgh1jIQLVi+Ag1tGDQS7eOyW628b0wMM0CPK87u3YIaen4dFvFul4NpT70bvHfQcaGuI13utM+wZdOPOv3arQYHUo7Wozkrzpk3c2KxXFO+7z+dxTHsenHIy28KWVVVRSUGk32cxa8LHo16dFngPJ/N9LeyCnRz0snfkujg4l3Lox5i33rvDHzxg+91yVC9crWNqiZInM31CbXN2Yd4NvALs1sFkj0eRBLksyGy0NJtsJWnDsXpm2L+TqSqyhXIy49dAqs23DV54rsdpQWU1cCFZ9yfU1lQ1gEHHfwZhnnztK68kplIjQT7ywilaSWjPA1j4vnY+Zb9hEaVfYroEsGkzNaV46VWbTkMWmamYpbOl8MGGdRLU7SJBtQii6gmIhs0Vzc8vhwY6hpZNeFWOdp6CVRdCiG+JYAU0v5Plzkn/y6+OcvTrGRNVifCTN/O0Sg51mjQwGItKNzrMqX6XXs4PrmgjpPg/vAtyyIhIT88Vvujx9qgiujRCqNx6nuvTkxgaP6CdW/WamGIjeA4kmfTlresN7UKOR5LYPvmfx4E0e73qgzelrBeLEIlYaP5XYSTYY0gN62gVzVnqTIpdNyG4UN5hU9B68biDQublpmmqqhQr/+DtX+fY3zPJTv17h+MUKy60SWtsUbUlRkw11K4PT7TN0/Q513/cwSdafFgaIE4kXKFw7E7v1KU7frs+yUhIDk6MF/ub71rhjj8flOZXbNQtSYZFiEceaekOweQJGK038KEWKBH37vhgpBVGYsrAyxNmLmvkahInJrJDDbApEiEzzffNmQ6UA5ULm29ddK9IVNq23Pc5mNns7bOxsJ46TDw/Yur9iuucC2zPLzCbWHcun3ol58oTkM89U+NJLozTaQ0xUJRPFTAvcl16yDtzrksyBpLVLhdYBuxe1M/7dpSfHrwo+8UQZRNa5VN3S3GCFpte5G0zqBAPofs0Mc9AAqN/w6WpS0gEJbdbV1IkmTiyMCfnImzwee87j6BUHo2J8afUB3v1sIks4Y2mQiSDpATsDfZq7v6ZmwPhUZJVyY8APFbVmARhmz8YWv/4PWnztaIvPPlvk+ZNDLLZKtLSN4ygKSlDMQe7oTPpsx30v8rjb5c6HiuPYZLbJQbYFrrvescvduyagtiXp+ArPV6zUC+ycyHZASZHh0gs0bS9bmbKwpjh9xXAhsdGWASPQV+cdjJFo5TFS6fC2uzPbgdWG5OqsYrWRrY2WQuQWyAOOT/kH63YLB0ty3e5gj5bYCW4+/tX1FumPf3U7hhGOHVMuBFhWwGoj5hsnFJ9/usynnhthtVGh6NpMlGHUTSk52Spu/Sfa+wMlyJ4QaDCxTfkTpp1y0MAzA3ecRDz5ksvJS4VMmSUHkssBcVhfN90HyLo2fTdFGaAnXT1P31n3xkQzM+tJVN74UaoH9CC0uGm3x0N3Z1HcizWJVHSEwslBrpI8GqagEkhEd1wti+xJmulQut3g3oOWewjGiSAIFR3fRqssga+WNd/zlg7vubfBF15o87mnizx3usJSvURHObQKGlcL3Miss2h2dNbgiRKDHZvM0i02OFGKb2XS5W4SOrgZT+UTWLYlqLVsCo7FrFXA0qYH8OWa4OpcwlrTYASUCx47NimGSpo4MegwVwCiYGTUY9fGNdqe4MTVKn5cZnzY6mXBXTN6K59dtNSACWPPi2/9XpxsH3wO7NxywemCOtdX21ZWZy4VQlITcmUh5cKs5I8eH+Kpk1Vmlypox2Z0SDKcWxyX3cwoM5uOv2HPzMC8olJmfaJ5Yy1crqcmSsVoFWFbIZfm4be/UiaIbSjaKJGVBi0xkLSK9SAfBHq34SQG8W0GKMoAVelqesyA8Kr/7rfuE6UJI4uSE/JX3uHxxad9zs9ZmNQiSiV+ClYKOtcHqTTj4lLmQM+juDKD2zW61h6ipxGP4m4nWiOlgyGjSn6oKRdtvu9tHm+7rckzp9p84utFLswUuTJfpu65tB1NU8ueRXNRgasNoZVF9jA2mWtuPl2VnaJ/cnVKV8/fXX9o52DPhlayPyu5AVs3LnP6OjQ8zbbxmD1bFa6jieIE/YH3vn/D+QsX/8ljz7zEySsVxss2WhoWVi02jkgmRjRFd0B9100Mb5RCdm9oz0vQ9BLHno/IYMS2Mtu1ohtQcAOMiTh5RfDJpxyeeKnEXK3I1FIZZTkUy5IhGypWSsnqWxz315p0S1GyX766oTS4LnrL1ygLDiaXOiYk5tPfKPDqpWI2qCk0thLrXFd79ETwGjw8u1ndY/81KUpOS/pm8X1Ap6khMWmvkpLmtmsqUWilCTyb2/Z0+OCbWvziH9p4iU0iLbxU5VQlM6vP8gSB6nnUCBJpSPJyXs+uQfX/PE4EYV45077qyWdNfqpEcdbEG60EfPiNPvcdbrFYb/DEUZdPfKPC8ctlOqmDb9vYjsZVgpLONr+5KjMTtcM+fekPUIv+yZfjqbdCRXUfhv7QeMFRbNmg2D5Z5gMPZmZLQ4XMe2XXvjv+ydZtB35ED9kXqnu3LL2zfbDBwtoYYVTG0Ya9m2GoZCgXIwpOPlneNaDXaW+sCdNdT73e+rgrfs8SyDj//2fAtnVIwQlxCiFX5xPmpwSffrrI114qc+l6iXZURFoWxbKkrKGkDSXL5GaZWeR2cx9B28pmK7XV3f/Yr8n2KibSrAP04PygVglKd5s6EVrH2Drk4pzgY18vg7RA2qh8JUl37rKn4usJjPrt+Z4C8jXAbQYoyuB2i8Gh257OJh1INOWAACvWKGmRpprveHOHzzxZ5OyMA8oiTCSeyAwzuwpHLbOoHHc7nanIo3kG9FgaVJLpWTL6ACoSaCnzAKaBrBGVDbIo4jgzC3Ush/FKwJbxgJt3hLz7vmUeO1rnM08VmVkucmW2RFiwaVsWjpIUtKAYZhUYR3VLin0r5m6fIB3oF3Tx1HW41bm/TcGOWa5JLl8vMFTKypuzseHSUszBTuOdG2YvV/VqzabTthmvGg7sXMmy50RSLmQrrvtrQGKUzJLOKE4RMnvySq4gTTV+oIkTRdprw/c3LVg6wrJiCnaIECFxGvHiOcnXjtk8e2qIK9MlltouXuKitJWtDdFQVCYfa+u7wDqDPoKW6FGU7hhaV1CleiWqQUqSZhm+vtE0f6ByoiJSFfPFZ4qcvZTVvZEaLQSOMPm0/2uM1Q2IwwZVhF2ask4u2wN5t9EzMIAwWEkZ0IfHaYpKFUmS5LxcEwQ2B3d3eO8DbS5/vECYWKRC46caN8lyE51CnGagll3+neSg7j1EuYovTomlIBrwH8/MPfMWR28aKF9imz9sYWRhWw6uHbJvc8iujREffkuNS9MNnjtl89VjJV44Xyb0HXzj0HA0tpI9432dJ8aQATuMoRVBYgyVQpyvOxGEcZaUWiKjPHbeqHMtQ6EAfirRUlJ1DHYaUyBEX1sSrK1Jzpxx8GLF9IohiD0+/KY6m8YT4iQbNdLK0IkEn3m6wEtnHZSCzaMxP/CuFjsmEu7cB3HikCSZEWLfESkGEeHHMU+flJy9pvmdr44yv1ag1nAJcTDKwtKKqgOuIgN1XnrKkpT8q92tr+fgtmV/F3u++8fSA6DWfa7d75B25wa7IE96gqosuQy5Oi/4pc9W8GVWOZFS4ciBmzEg7B8Uib0WTRnk4IPB/LW0KD3TpESQqMwKL83HtHrJpswGIWKVECUWhcTir3+gw6ee9Lk8nyXCUSrxUomVGqw8yVSyW8XIusyJFMQDQwpxnFHLSKXISOYVoXwlendQouelKHuuWHG+nSKMLILQwtIuthUx5ETccyjivpsivv9dK8yvrfJ7jxY4c83l5dNlPN9hEQchFSr3wUFAnKboJOTOg3W2T4T8wLs8No0mKAUvnrX47NMuXqiw8sn8OIGtYwkfetjQDirMLhVpNhIO7EgYGTHoSsEQeoaN4zGjQ4rSlQIXZyw++tkydT/rFnWFTH0XU0MaC67MGv7xr6S4bpuf+aszPPJwDQuFMdD0DAs1Q5jA736lwOX5Eo8erRAGNpHMjlPtKIoKCjL3E8zN1rME1qzzErR1d/o9d6TqGfX8/9t773hL7rO+/z3f7/Q5/fZ7t1ftqvcuW+64gDHGEMAh1ASnEJIAISSUAIkhv4ADwQkY3I3cLVmyLavaklaSrV5Wu9L2Xm49/Zypvz++M3PmrmQwoRhIxq/zuqv13Vs/88zzfZ5PEbmA2DQyB6tsyZAtkwpLpMJY0EjFsbIw9+76EX9ye4mT8zZIAzQj9TxMq3fW3xfHhK8wA88s274VH7xIuBqt6rNevGgGpBGJggttLAmjGBnpRGFEIE1mx/v85NtavPdjJq3QIBFGOhfXUilddlZIqQxxuspP26wR0BPCIHMzKNrOqcnaqIJnGgBBqAuMKOXw6FL9nH1TUR3SkatrBWxfE/AbPznED3rc93iLg6d1PnqXxzA0WGpZdLo6ERqOGPL2m5r86o+GWHqZgd9Q5LwIrt0Wc932JOe5K76MQbtX4uySy6FjBnuO+jjmgLm1At0y0D03wB+EnJxPWO4OuOoCiWNa1M/6tHoxw0BLY+AK47Z0y4Sm4QeSY80yf/jZBo55EtuIOH7W4MkDNnd+06MfWrTaNkliolkSwxUjQGdegmm7ky8Isj9nqhuZTm1WWa2N+m/lL8houVDke8ssTjBZPfPOKbFhqtoJMC2fT37F4gOfrzCMLTBNpJDYqUAiq945ByOftWsve7sqDvvcFqUoOn4Zo1BDxiqqLxIjO4kwUjKwUAiEEMhIIoVEhjqOrvPT39dl31GTD33ZBKkTxFKt8ONELX6ijIxV0G1mSpwo85lJfVWCkZKqeIjI3LEyWZkZxQrgoUw3z+lTMT+4Zwf6MG0H1YDhzdcEJAT8yOuW8aOIux4zeOqAwbGzOq4Z8s+/L6TdmWPfYg0/FOkSajXxjvTcNwwkzY7OsdOCZw4NuHRHFxkLWj0NacXoj+7RMRKYHgtxbZtaKaJeUQcIz40IwyRdnGSbSm2kkEldol5f77F5Q4vnDxr8wacbnF1WxvPSMNClxHG1HNBZlc7Zgtn2rLBKz3poI5eZKWAbesFyzRi1J2p0SW7Yk5OoinyWYkBV8ZWC3DR9lpsxX/iay4qvkho0YWBILb0RVzMHs/57FQflHB5KzgnPN5na6jHhqtak4DyVgjxvB+JsUSPUS0qiKCaSOlEU4QcGZSvk7Tf3uO3hPktdHYTBMDLpawJDi0duYFoGlqyKF5iGArQgSaVu6i+KsumMN6POB4ovE0QaRijS0V0WL7M6ciafXKXA7/RHyzzPDvjRN/j8lNNjfiXif3zG5Tc+Ms6WiSrjZRvDyEhahYlYes4hUdK33kBjuRWy3IWTix4Cnzde0Gf7hg76phmNblvn2KKqsodPWvihhufoOLZczeWQCtjKbkHFWFdLIVvXD1gzG/DFhxzOtmvoNQdHV2tcRyZYMs5DmfTCYz5/ZObUy4zwo+VChWwEmFuuZW5U6VvLIG1d0opvZLKzJM3WHOkrczpAqtRRG8tALZhcn688YPLYbpdYmCBNtJQSa2XRHcXqnd+UBYsKbSTdOtd4U+E8GYG8yChMshl0OuGIk3yCEkZq+REJkc6107W9EMhQIoWOCA0MI+SqnT5vvrLLx79igW4QaZJ+JDFT1byMipK27FFfECpTsInQ4hTXokAlGNlcKB9FVG6mTNBDUXC8XU1xzizeiql4mUWzke5DrO6QRqXLxmn4wGfLHBsTbJ8dUnEFtpX+3nPh+EjeiKaKhG4INk3qyCRC1zRWWgZHTtnok9WA+SBEiJjldsKzpyOm6oJKSeYEKdUDj/SKlqEyIl07ZLLRY2pskTu/Ifjsw+PYJZearVE2Ehw9zqOjM7fXnCusZTN0Ld/+FSOkc9u1DOBSQzdGHBflK5iZZGam9umc3hgBWy+8LRK4jMLM2zZ9DhzX+OidJc50LPVBhXKrsnNwn+vdUmxJRuLbYurCyPH15U140bYtSm+IOB8Raor1F2kIIUauBEJTwBbqsBlK1YtLEREEBhNuyD9+U5eHn3c4OK+spn1NOWLpaQWXUUF1VFD/ZJ41CtjnzjbP8RpPMl/zBD0SRNlBXiYIIQrOY0X7tyInf3VIr2kG2KYBSN52TYf7nljiK4+aDCOD6YoK5VV8lWxals3DlTOZbUqqJcH29TFH52OWW4LOQOds00Cfm/Dp90OWupJmF/afGtAo63hOwlg1xnMinDyTJsYx1RfkOUMalR6nl4d8bpfG//jsDBoVpj2omhFOAXi5N+AqvaW2anudzYwz0Ix8BUeWa4au5t2m1EZtiZ6MbNdSAtcq4x59VLXzyl2YmtiGTxAH/PFnPB56ylNjQankaI7I4vQyYlaW7b7aOk2KbKxWkN+d4waQfX9FklWcgJYr6hXQouwAqClTHhElaWuiRAe5/4hMZ+IiRgodGRr4MuL6Swf89Dub/OofmwwDnURTAmVDKP2m1OLVlTut2pnmZoTtOD1cZjHrYlTFU+OgSAcjTiu4SMUrqXfhy36vqygTcX5GUss/naFpEIQ6ZVfyC/+oi22e4oHnqzxztETJk1QscI0Ex4yx06e2Y4JrC2plGK9pbFnbJEgJZM1ezIov0O962qPTGjBVjSm7PifPWtQrGtNjIVN1Zf5Y8YbY1pAwDun0Ijx3yPOHNe5/xubZw3X2HC4TDS3WlKBsq/QyS89m1COgZmDQxGqFfO55kYN8pA5R1Vuk/X5hWqKvrtx5vEjGUpQFMleujI9e1p5Yts89T0lue8hj6FvgmmjCwJSqeptpAnAR0Hrarp3LwRkZDYlVOsXMNeDcCUqs9MDEGkTpQUqLR/IyVcnTbMlV1VxxUrLUuVBKRKQjAwPPCvieGwbcs6vHPU8YoOtEmqAfSTVRibIpT5L22ZmEbfTfOWctSW0mkig1yBTEBYesONaI9DTeW2g5w+9cSkIGdLXhJqcrqxZSYho6AzNiEBgMfZ1G2eCXfqjH24/O88KRJe59xuG5gy6+0Dm2aBKFEs/QqLkwXkoIwoCqp9HsmBybj1ha0bj6cp+J8S66Fhs4uqAbh/R6Nldut7lwi8/6mRZTjRWOLwbc84zAtmOeP2Jw64MVbFPS901aHRNLE1RMjWojxjWz1LLCAiZ9nIwotdrqjVW6ZFBVLSmsZ0eBp4YU+RLnXHAb36Jym8bIlSpnKaYHSyPlm1iWT7MX8eWHK7x0xlGDdqG4N44YbS2z8NORwGE1sWwU61fgxHyrmOsC94TCLx9ARKMRo8gprum8WhPp5lG1KSKfqkhEqHrfQEQMByZbJvt813VdvvmiRcuXoEmGkaCnaWoCFpG3EFqulszqtZbTMhVA4/TvRqSwJFUcxXrasmSpx9EI3Fkbk/HcRxvuTFW1mpBnGRLLVBmq3b5F2XU5f/2AizcPecvVAwZBB8sMuW2Xxe7DFqYleeagze6TDotdnYEfoEsX1w1pyiGBL9ER6BUnZrEPx+ct1kxqbJhtYjkt/vTOhIWux+klg5eOWBgyjRhBQwZQ0hPGqyqoVOVGZvPpbMqhYeZWaSPrtKxfzcStuSdGFOdmi1kfm/sIFk0y9cxLsNBrp37eL+OYG5m3YGrckwqIM7YgBHzsKw4fuK1MktJhlVoHZWZfiLSWheSIEf22qEcsAr0Qt523K+o3nP2y41EXQJSiXNPIrR6yFiIUGiKCSFNVUqTrcymSdPkjiWSseCpSJwh0dF3np7+nx8HTBn98m3r0J5qkHxlK8UPRryV7dmbxMhn9IsnHmZl4NHfF0le3LHECMlE3DxQiukP1+81uZi09Z2UOY5lPu7KqjjENmSbZGbS6JpbpYJuKnOca6nf4g6+KEDdHGLrPnqM+p5fbLHc17ni4yu7jBlumE9aN+wiR0O4L9P2nfM7MD3h8b4dvviiVxs8cQ4tULqKpw/nT6nmjJhxJYcIBmRXx6CA4sibOK3jBVUpNT9R3G4bQH2r0BoCf6TqLOr6MRZYBO6vYSaFyJ6nV8SgBLa/cRuGkXtBYGrqPZQ05dCbhiw+6dLsWeKp6Z0sdM1/sFIAtR6b6IzuK0dda1B6K7IlVGBUq/IwWZ4lWpMsWe1YF8sx3JPcZiYU6bEqhVveRmomLSCJFnPbkBkM/olQK+e4be9y5y+XAGfUFR5pGL9LJc5FzS7Qk7cSTtFInuaQuSVsT1VbFuSNWki1/8jiS1EBIUxvToa+0k4OhKl7FUXPGDhwVLw3DkOkgQ6Sti17YZ8QjBVYWLoAaOW+dVtvyq7YGOFYnlatFTM22cUsu+vppmwnPZVyr0htYdPqjTWAGQj+ICaOCqU5hNJZXrcLbUYpCZo+W5MaWiiuiqLVhpLHSlgz80WMss1uT51TuvNfOjemztiRJ7Y2z9kTp+/SU5LX6cKlGgoYREIQR9zzmcP8zHtgmCBMh5StW71Xay7wP11a3JgWTzyLIc+uyVcQqBao4+3nKUWUfATzdMOYkKfXxIy0FuRCKT5LNxoUiQAmhRofDvsmrLxry74SjrAAAajxJREFUmqu6HL9TZxiqdKgAQRfxcq/HTB8aZwKIkQInyU0zGQE9b9RT9ruu+CTZoTqKE5qdiFYnTA/QxcSNUcqGnhfCjEck8uKRcfhHYhXVxwOpc5oSUqhwBYW1Tg+WWz1uuK7G7IyHXq+vawaD4VctS3735jUD6mWB1NWEIww15ldMTi8aDIapN1xxe5fPewtkI21ky2AUAGnqcZ41aRrKmqLsDnniRZflwyZJrB5ZWZ+eVf3c3tjIgqHi/JGWtyR5ONRoWmKkC5zM2yRzp9L1AN3yeeBJg9/+SJUoUa0JQsfQVLamKZPUji0pLKAyUBcPmNlTqWCur2cgV/8mawXiGJIo600VBzs72Mkk3RgVmvLV5v5Z753eNJFQLYpIRuAWsQJ3pBOKGD+McfSIf/+P27x03ODBJ3RiTYAmCDDpIEhkVqkLnu6JVqAMJKtct5JCP531V+rwqLgriEyPm+CYEQdP+Tx9GCqOhmumYnNjRLtQv69RBzAqCgUHgHTUWhy/JsBgGHNmKWS+pdRBaEoHUC8nbJ7VadRrX928cVNTf/zRz54NI/lbjZL8bsde4dBCzGJbjaFAx9E0So5OyVVLmWzRMbLEze7qbOM5smbIY/jShGDbDLGtgIo3RIge33wp4p6nNZpLgrGypgJlyWRvo7bELORV5tk5adXOlEEjbWdm+bCa352B25A+JxbhA7eXOHLaAdco2LCN0tv0QhXJnWPP6bfzaq2P5vV6GlOYbd6yCp456w7jBD+MiKLRgTqWSd7TZjtPkf4sQzEqHlJk28yUDSgSdeCUiWIaxioyPRKSSEp832D9dMg/fVuHQ0dMjjYFRKqtCDDoIAgT8JLU1z1RDL5MWZT9OUkSBW4jGwOor1DT4tGyTmbnJ2XbMF7zKVeW6RLz2J46eqJTd5N0EJEG8hrZhjrOac55O5e3bQUPxFzxo95lrOYzOdUDTf2uF9oGp+ddpG7x/PPP/NYTTz1zVn9y35A40TBkxPOey4mFhDNLGiVbKeK3zxqcvzGhVlKSMyUOjXM+QJKopFo/VOblGiPVeqbisc0Ix1Kq+Hqlh2l2+MS9Or/z6Um0wGH7lNrckT6eRUGVrRRBKkbbNGLswlMgexmrnKiKqviU5y1H4E7sgI/eUubWr3kktq60ltlSRyY5DyZPcyseIOWoLdNFtm1VvGk9HWWaxdYsX35kdsAaYRjT7ysZoKaN5vyxnqSCabHKbVeIrEXJPncx7zITJMf5Gj8UAikV4zASEWHf4HteNeCFw21+50M6vpWRpxICDKJEEiYadqzhxAl2PPIjHEVBpt6EaV+eIVBV71hxy6NRBLsU6ml7wwUJ11y4zH//TJ9b7plgse8wVtKoZpz+LKZRaqkQPGtvVGscpouv7GPqQj3lLQMqJZ310ybb1kV4TkDZTTi9nHDsdI+Nsx2qZcU01CerplInxwGeHXP1NgPfV1OAkqMxUYeJhk+97OPaIa4dUHKUGkfTEsJQZ7Hp0Oxa+IE6vkgZp5U7xDZDHMvHcwY0ql1eOOLz/ttL3P/sGP1uiY2N1ChIjPrMrD3JY0WMLGVYPQksI8JMT9eGMTKnH8nOInQRqmg7GSLFqP++9wmTD99ZSqO/VWsihMDUkrR6Z54erGpRXj4DX/3SC+eOvJ0qnBeyG/SlYzErLRUtrhvkUYYK3DFZJHfGDclAHqV2dWrdrqUjQrU0idJtYpRW8TCKkEKmrYuOZYT86Ju6PPqsxb1PayR6ViJj4kRnEEt8IRjEGk4MTgS2nlpiZ725keSTlewWUV9jnB6oVeRfJnsb+pLFVom5iZCfe0eLq7Yd5Q++WOfFQ3VaJZOalVA2Y5zs6Zymr4Ey3VzpCebbEMTqAGxKjbINnpVQMhP6fkgU65xe8Ci5ypvRD2NKTo+llqTvG2rTetOlPUwDTi9qHDkJjUrAdMOk7MaUnIBKaYjnDHDtAWWvz/xKyL1PG3R9VbFA5/rzhjhWA6HpCKEqt2pHfBx7SNntkdDjE/dKbvlag0eeH6fmmqytRVRdFdmckWoMXVNcFz3bUipw2KaK0VYb1VTXmb30IO+1FaBVQq9IU3mFFmKYId0h/NYHKxw6aZGYOgi1ztY1LTXyIXeKXQXsnBqbLp/EqO+W2Za1cGZQT5xEuQiYEa4dMdUYYDldDj/osrJgM12NcSyN2ByNR7PHvgK2KNjOqVZFtSgpyzB7Rel8PDMLkiI17oyJYp0ojgh9g00zQ/7jjzd59BcMOgNATyAJIVYjxEjTGQgdPxL0pMCNEzyZRm3nvXnm7Z6Q+RqKTG2jp5bZoYYfKDuIVsdCFxXGaoJ3vbrJuqkFPvO1Lp95cJyTbY+yLamZCaV8O6l4Sf0QhtqQ113TRmhq3NsZSh591uXYaQvXkXhNjepCSM3VKNkaZSdhejzGtSKe3qez0hNq+4w+A7pEkz2kWMY2BWsmW4T0QPoM6fOBW00OnjJwbJdm32T/cQcRS8q2uqtW5iMu3WbjOWnFtgNca4jn9nHtLicWfT5yl8uHbp+ih8dkWTDuxtTdhJKtpZyXLG1YwzRVBVRq/MxuIsqfCJYZYhkBlhmkgmU/77GlHqrRg5YgiNFRq+kggj/8XImnX7RJNLX8QNPRNJFSdkemQKtO7YUqWlzq5Lk/WTSKLEyM0sOwbUZ4TkTZ9RmrdumGK7QHkrMdB9fMAj2yc2WaWBxlny9ZNa0SAiKZVvE4W6Jk4ogM6KLAGx9pOaNEZZlesj3gPd/X4X2frOCHCWgCI/ERqG801nQCoRNJE183GEhBOY+jSXKf8BzkWqwOmCLOzyS+rjHwNXoDganrSGEBygPl0s0dLtnaZfPsCT50V42jZ+v0Q4tGLKjECV4CnpnQKAlec57BW66zKLvq6Z8w4MDNHVr9BMdOOHjK5ON3lugLkyDQWekbVMoGw1BnfKzG+GQFkhD9vAvfjmmVGTv1JH7/M5xu28w/N+T+J00WO1UsQ9DuafR8tSBwdZh1oOwkVByNRkUSxQadfkzJVaArOQPKXhdN73DvMwm/9MeTHF+sY+o2005Cw46pOAklV8NzNFxbYltSydCyIFYzrdyWArdtBtiWOqTahtpC2qaPbQ4wTZ+uH9DuJ9z6NZPFpiSOYd10xJuvHzI5lfC1b1h88HMlWv2UDpmCXGoahjYKnZVpFX+ZM23WPr1Ci6KfMw7NWirbinGsENdWTzJD+hBH9HyV3qvnTk6Kp6HlIuY4H5eGha8hikgrt3obSpE6VMWjlLLUaiKORbpxTEEeSSp2xE98X5enXzC47xs2E5Mx33XDgPVTEXGssdDUue1+h65vsjxw6Ukb3zAZxhqV4jQlJ2aRmkOJlEUYrfIglFKiaSagpVYUkopn8M/e1uHtN5zhlz/Q5/6nxznbLRHFAqEpmkfJBi122HvIZawaUPECyu6QNWMqo1XTEjaM6VyxUWBZQ1a6He550kXXNI7N+7zr+tdxw5UX0Wx30KslnZInOX3c5KXDLoPQZjAoM1OCrRMKcN1+yJGzyhvDNRM8W6PkCCqeTqOqM90A14lwrBDPHdKotjm93OV3Pulw+2NjtAcVarbOmBVTthPKdkLJ0ZT20pY4lsCxJI6lYZsJtpW+TEX0cswAxwqxbR/H9LEtH9cZYJp99h2LOD6vcct9VZ4/7LLvqEkw0EjiCMfy+eS9fX7x3R1u/brFwYVUioNIAa5mrkX74aJSJzvYrU5/Wz3K1HPQpwb7GcfCSM8LZoRpqjOCEMoQchgl9EMNN9QwQnWwzfr9MKOaypgwSmffkvTPKdBjlXogi9VbJrm/eA7sJEueTt9Ggk1jEd9z84BIJPzij3S5+kIf2xQkkcQfavzYG3u8cERwy30uR+dd9h6p0gwdglgnTBLifAaepE/JkVhC/XxU/6+eOjIfs+fZPKGg5OpMVLv8/s92uPPxAf/lzyY5uVBHFxLHSOgNE84shoDJSseiVjIouxYlN8S1QyDh0EmLbk9imVByYy7bEDHwfcbdBMcy6QxthmGIPl6JMa2ELbNDLt3W58hZl6otGa9CvRJTKQ3Zc9Tn+IJFzYOKq7wGy56k6gnqlYSJWkC9PKRe6THdaHFyqcuvfrjEbQ9NIU2XKQ/qKbg9S1m+ZeB2bYlj6ziWhmOlLlgpa9Gx0umLrQ6qjjXEddRZoOsP+NpTGv/t43Ueeb6CZtgIzUAzBEkpIY4COr0ez+2NOb7Y5YqdAV95KOLIPKntfxqboqmKnbnErvIpLwA7c6gVcjXvZBQVPjLWXxWLUpjJCy1GS2KGUcIw1BiGYIYQpNyMIMu+zCI8ZJJywtXXEWdVXGq5OCKTtmUC5VEEn7YqaVr1QQnHFySPvWCwdizm4vMCHN2g13QII1Vpt62J2LE+4Ide1+Lh3R3++yf6fP35GivdCmFsEiUi3Whm/JJkRDPQ4oIvTOqTncjc1CiTuWVhCbWyzg+9po1nneI/fijmxNkxJFKNekVIHCf0BwadnqTsCSqepFaS1EpDnjgwZN9hg6orqZckYzWdWingucMwtkkys06n2dHRewOBNKwzZ5fl3c3+1OtNY8D6OZ81k32kPuDJfRqPvOhiGYKxiqRe0amWJJUS1EoRtXLAWHXIeL1DrbzCSyf7/O5nqtz2yBSea9NwE2pWjGeRg9uxNFxbpOBOvQttcO0Y145x7Cif2Dh2kD/iPbuPa/c4fDbgI1+x+fCdYyz0ypieiWVInJT5FwOtgSSwIt56wwKvu3LI2qmYPQd13v9Zi35haygLy6tVSnnB6kiVHNRF1qBG0X9FL9jCneu5IkSsuLGokVsQZ3EvqhpnsR1hlKBnPW8Ujw6Tq/rv1ZYScQr4KNHy7MkM3BnAhQbDCD59t8OHby2zZirmjgcDvv8mQW9QpjewVJSJVNtgy/S5eFOf9/98i4/cNeBjX/J56WyNpcRRTwMKTrAZzTbLwcz0qMg0aEuQxDpxHhcockakH+i85eoWfrDA//hswoEzDSJ0ojgmiCIGfkxvoNPt6/QGgiAwsK2Iay9YJtFinnnJ5FTLYo1vsFUmXLx9gjUT4u561Twj0JC///v/k1e9+qqmlLLZ7Eb/6KVDZ+n04LnDEbt2C+57rIyZOGyY1pkaM5lsCCbqMZONgInakJnxLnOTTRx7ic8/kPBf/2yMB1+YpGJZTHkxDSdR/baj5W2J50hcW8dzdFxb4DngOjGeHePaEa4V4TohXgpu1x5ScnqUvQ6370r4rx+p8rmHJ2gPapRck4YtGLNi6nZM3U6oWgkVO+a1V7X4tz/YYsOYJI5gohbypUcsmt1MsaPjyGx7qVrzTLScq4l0Vm/b8vVyumIuEMAsI3vFmOn83zJDLCug5PaZb/p8aZfHyZUStilw5MhEKJ+rF/Wd2ojTskoqV5TJyUzdXzQYLUZrZ1Z0PqeW4Ff+pMHppkcrKLH3iE3F0SnZVVodj75v4Ac6YagTxjpxpFN2BZdv9bnwvC79YcBLBwwGGCTqaJrnJ72StjpnHzK64VYnGyszIxKdHesirrqgTZgMePyAyVLXIo4UdSAI4zSkSh1Ww1BntqFz/fk+a6d91s8IxqqSqjtgZnojllX9N4cP7fvmFVfcpB7WVbeLYwc45pC14wmGKXnwERtDM7honWSyLpmoCxrVhHoloFbyqZaGTI918cMOT+z3+eyDNvc+2WB5pcxkFRqOUmK4loZraWl/LXBsgW1J1XPbmqrqToxrpeC2w/Tlq5czwHN6lJwOn/m64D9/cIwDp+voJZuxiqBqxJRMtThwjCS3lKhVBG+8wqHmjLPYHOLaXS7e3OUfvaHH+z7pMcgPSaPo6uLbUd59GkeYKXa0QiXP0ilkgTNRNO9P9YkiFRnk7L0kIUwgTLJqzMhVKk7QC0GouZpHavn7jtqTQkryOVZvefVOly9+nHDLXS7P7PfQHA/LtFlsenxlVwiBQ72sYRXbwsAgsHSCUMdzDV59UYdN0yvYIuaW+ydp4hEjU0ZNVscz2nOcb7eTRBLHMm+hsjS+INQIIuU5H4QqSW7nui6/9K4eV207zqcfqLH7UJX5kxaz9YR6L6bT8+n2Ijo9nVbHYWrMZuvaHttnW9zxsMGSr2OUEwYLEXGUZvQA7NyxDcdxGEY+NetJntlvM1mtsXXWYHZCMlZNaFR9JutDamXVJrh2h4d2J9z6sMU3d09xZLFEzdbZOAEVSxljOpaGY6bgtgS2KVNwazi2hmOlNmx2lLYnIY4V4DkBrj3EtQd4rqrcn7xf8usfnOTwYg27YlMzoWbGeGb6MdIbybUFZVcy2TCIAoPjZw0mai2EiHAcnyu3+5giVgDPV+LJ6qpYbFW0Yh8+MocsSuuK3ocjP8RMrhXn+sfRDjohyi0YUv1lbheRBaAmqVFmpmIvpMrJ5Fu2Kfkrk5mlnzVI4LG9FklioesWY5bGXBlMLA6fNOg3NCqepORG+IECXdZKxKnRz0yty6/+eAuSmI/fO0mTEkmikySxmpFnDMQCISv3O0/EKwM8EPiBalUGvkm1ZPN913e4fucSu/a0uG1XmQeeq+IZJhVDMOYlTFR9lpqS+WXJcsthy9oYYQzYczhi5yUzbNq6k+GgNwL42OQUiE33PLN312+fOjb9i66M+J7rJTPjPvWKT608wDD6HD4d0vF9HtwteHh3mcNnSyy3LDwh2dzQKJsxrpVWU0tL7dUEtiWwTJn/OT9MWqrndq0IJ+251WuYLpZ6uE6HW+4z+I0PTXFoqY7nGtSthKqZFMBNDu6SK6mUdColVbmGvnIICEKDONKJwnDUO2YTk9RmeFVg0yrFfKEXL7AERQHYsnBj5Bk5Ik5NSTOAJ/mzO8qqd1K0bBtZMuSGmDIlPcXaKqDHkRIanGvUGRVT27L+N6V8SylTtZLA05UjVJLEtLohhp6u7dMc1DCP2VYTmCidyExWBb/yY1007QyfuDemHZWJMYhJUqBrq4haI4NPmZt6hqGyG8mWQsNAMPRlGpNj0LQdql6ft1wx4NrzOhw52+LhPRYPPeeRJCbPnbAwZULNjRk7JnjhsM1Y1eDG86FqLvz25Vecd8++F4+PAK7Jzfzov/7PPaGJw72+A0mL0koHebiPFCG2Az1fcP+TZbpdg0Qz0RJJSYeNNTWcV6IHpeaxzcxmWUuBrcCtvMJJ58PZS236HMtPwe3jOn2qpS6HTg34s/scPnnvOEeX65RdnYaZULbOBbdIe3mJ5+p4jsC1FNsQGFW0Vd2ihq4p/75RW1LYWBYoqvkhUytUb3nOgXSVijwbm2XK9SLbO6/jq4JW47wlKVa9LCY9M8csSMWSpNDejLgpq4CetSqpIicbXmfjUFCOVoNhTLcfI4UKflJthp4GYxW8J9O2Z7Kq8es/1ue8Dae45Z6A5483iF0j/RmP4t3jJC7cmGnEe5geLkONIBT4AYVMVUlvoGOZJs2OnfKXAs6b8zlvzucn39BipR9z7xMWvUCnZMVYAkhMbB0mxjwa3vHDj3/53/Re/ZbfGwEc4Cd+8G04js29X3uYR7/xOLYmee6oy1JLx9KVksTVoFZWIt/MTi07kOlS5N4lVmqpNvIS17BN1Iw7Xd44Zoxtq9m5m34jrqMqd6XU4cBJn//wRyXufGwczS5RzcEd45rkDrOOJdIpjJrKeLbAs9UTwjTUgUtLxbWQCcY1NK2gNNdWtyQva1MKbUlmcr+6pUnS0ViSV+tVrrtaKgvIq3h8jvHmOUacKXsvGwNmZKcMLLnFW9aPJ0kB3GIVGLM/aynXO3uIxCnD0Q8V9bRnhOl8X6SNW0EcTeaCO3rVSho//wNdLtpymv/wv2OeO94gTqzRkykFdRwlRFGcT4xU361S1IJAMAw0Br5Iz04Cy5Aprz/BkNZop2AqZ2JdxrzmIqVFtYyAhbbGnkMehogYn7yUHRdej+8PgHMAPj1Rx3VcpsdsLtoc0A8g9E30WYuSA71BTKevVrPZhGGkWBmx7DLPEtNQh73RZjLjZqTbSVOB27GDfMZdcvt4Xo8Dp3x+5YNlvvz4JNLxKFs6DSumbKpxo5seKl1bpCNHNW5U/T04Vkpuyk02EzQRK7svTRstebSRkaYoLnnyQ2Z2wCz49IkR7z2rhCOnqNFmciTsTYF9zpghTqlVGb+jWMVX2bjFSS5CeFmFz6p32oOfG3kSZQueWCJjDY2YhIgwyebrKkx3ECSYvprZK8qqSJORs5EfBfrqyJkrjgVvvLxD8BNn+ZUPxOw+3iCKbcJYKY7COFtKKUeAMEzBbSQEacKDHwiGvmBgkDqUJehSFBT6pC7FSWp8D52+MvspOTHSGDDf6rOwKFi7xcVxp9BEL/855wCPlJrhQC/UDy503U1JEHLFeSbrpgO6w4hDxwUnzppqrW6qSo02Os3DiIBkZmY8ZjLicacAV/TZENtSB0rbCnJwC9HlmcMR7/1ojdsfmcBwXCqWoG7GeeV2TNWW2KZID7Ayn8q4Nji2ygGyzEy+NppFh2HEo3tshij+t6EV+SfJ6DC5CvDFfnt1KrOWtiA5uIsV+5wXBd4JrBYSZFYMmZxtVU589uesl80sG6J08XOuzXJh6RMVVvUWOlfvHPLFRwPCKGEYC/xIYxjGWAEM/QRDRvnUSGiaSqw7B9RZe5WnoCUab766A8zz3z4a8vTxOov9En4sCOJEAT0aJTwEUZKSslRs4DAQqUA9jTJJR6Jo6TkjSdJ8VYllgWfD8cWAQyeH9Ac666YsNs9F7NgsmJvWDjqedkCXycsBvmPLBh7Z9aW7r9zR+LOGXv+PZ+cP47k9OsGQpw7Y+F2HWllnsi7wnISSq/z+ml3JSkcQRRkPmALFNSMeqUweO014sK0w5Zaoyl2t9AiCHn/0RYMvPFDnsQNjWK5D1dKomjHlFNSOkU5msgOslfX3yqTIsdQNYOefM6XSSuX53e5H3L7LZZgYWGLEIJSv8Hq556C2aspybjuTG90U2pSs637FGXHK6MjWJTGjnrtop5wkSQHcxf48bVEiUgda0lFioR/P/MQjiaZJ3nLtkP/6ySHNYUQ/Evgh+JEyWB36sRJoyAhNaGiaTGm74hwfoGKrosTHcSJ44xUdZsaX+NwDA/73rZM022UCT2cYSRUJHmkEYcIwUCQ6M9AY5oosJVTPsnoyY/5WJ6bVVZXbszVcRzJZ15luxNQrXZ7cDysDwdMHYjas28Lx+bV/dvCrT9/95je98eUAB1hsG+iG/ZVeX3vbMNAvvn+XIAg8yrbJukmDTbMJU2NDZsf7BFGPo/M6CRV0Yef2aZaZvnJRQpyrbxQLMMQyAyzTT2m4ajP56fst3vepCdqDCnbJpGYqcLvptMQ2GY0c88otsCxl7aVM8UfkrIwDYhrKNda2fb78oEGzo1xjLaG93FAzU+7I1YdLkavZtdF0RSsCuyivKvoSFqt3oYJntgzJt34VJWT5oS3vyVk1UQljLZ2da+mGUORvw0hpNYPQoF7yeeNlbT75tQo9y6AfadiBxjBNQ8vtpUWUtl2SnJhePBxT/DrT0NpIcNGmLtvXdHH0U3z2/gF7TtfwTZtBLKmECW4YY+vqhjJzXxQtX5IprKiKrvxzQmK9z8F5Hd83WdOI6fYiNs5K1s1UeddNQ/xowKMvONRK8pnNa/WvdLrBqkKyCuBvfdMb+IPf/9WHQXvCMc2Lz19r4lomG2d9JupdGpUhnttm97GAL33D4vAJk41jCRtnoF5JKDkxnq30luqLDVN1e+pRYgQpwNVh0rb63PME/MEna+zaX6cXl/AqOjVD5fAoJ6NCokNh9GiZaq7uWALbIiVnZfzxKOWMp5EpKaX20T0eza6Dbui4suhapaWtyjlC4qIVW+Gtlrcno8iW7CBZBHQ+PSlWwAK4VfXWCgsSVr1dpY3MlzuFLJ14VMVDoSHTGXMYKlvjMFukRDpBYFBxJdfsGPDJewf4oU03FLihxjBgFCWSLqhG8dti1K7k+kQtB/so/lC1QyVX52ff2eO6y87wvlsG3PVEnZXIo28alCKRR5mYabammaWyGSpQzLUSEiT1smTHJsG6uR4HT/vc8ajDc4dKlBcMDpxOmKgKNkyXMCyHMIYkHDzx2S/e+/DP/7tf/9YAB1iKNgIaxmDAJduWsdw2rU7Acq/HqVbAo3ttHn6uQTw0maxITGlgmVB2Y6olpfZx7ADLUDmXmQd3pou0TR+v1OfofMj//JDDbQ/XOLFQJTFtaq6gqivFRqbds01wjNXgttO+Wy2PVk9nbDPK+3zLDDBNH88bsPsoPL67xBAbTxfKEDSzXC7YseX6y5RYlc+9V0UEFloSimb3hXS1VRMURie1QiUsGnByLsiL1TxOKCahjZY+KUc8Uk+dLF9HrbMFgZQYeprCEBpYscmV5w84f0Ob3cdcurqNF2qYwYjRqGivoyeU+h7SphhR6MP1VZOafDwZS0qu5IYdfbb+7Aq3P9Lj9z/V4NDZCr5r0dF1HF3LAwVMmWBLDVtXZq5BpBZFri3wAxMtGuPa7W0u29Jh1wsdvrHXwvctAmHy9CENU7e56TKXm6+dJIqSc+H8coB/35tvRurS/+IXV/jGnrP0A43BsEq9Anc9Df1uhZmyYG6NYHpMZ2pcZ6IWMVZVC6GyO6TkDHBsHymj/KGmS2Vy2e6H3Pqg5I++VOcbz9foRSUc16BiqJAp10gDplJwj+bq50QYZtzxAsAz/acyiwmwDHWA9f0hn7jL5bkjJYRu5BF3WdUq+pvkdhAFq7ksA/SV7JHzmBIKsSVZFU9WwXlVB35uZc+kjqt8Ul7WtqweF2aWblJksSRCpRtHasasS7WRDEKJHxj4gcmOtUN+6PVtfvMTJXq+QVtKLKGliXkJelCc6cerM4dyj+XRtzEy8NdSz0LVHtm+zlStz4+9ccDOtaf5wJc63P1UjU7XZWgYaTSKQE/UU9EzNWo21HyVoym0ECk0+kOXuXGLuUmPN1/e5IYLl7nncUHDLTH0h3QHPXZsXsu2C97iR1H4FwN83ewY5ZL3C8fPX7vjyyeOv2qyPGTt1gF3fFOQDF0unNOZHZeM13XGazBeUyv8RrVHxevgWF32n4zZe1SNpS7c4rN5fYAfJHzpAZOP313hkd1V2n4JYdpUbY2KkVDKQqb0VIxqplk8xgjcqjWR6Z/VbL0YMGubowNs1ueXvD4fv0fno3fU6IYuZVfgyRgrs4GWI9P9ETNwpA2VIhtZFY01kxHJqABqLbfBYdXJ8hz/+wI6Co/6ArjPBXrG61AHzSSfe4/ydshNgmS6BpdCIHWBHqo1uK5H9IcW1ZLPP3lrj/3HlvnQVx06uosjBWYQpdz3TIARn3OekKnifVTJc9+UQhUvMgXDSMexTK6/sM8VO1o8+kKHj99d5u5HPIJAsn5DwEWbAxIEe444HDheYmVg0RpC348ZBj7dfkyzrTO/4rFm0mLzWsmWmT6374K1DY8t60zs8pave+X1v9Dvd/5igFfKJR74+j1t0yy/dPlO7YaTC0155+MmS0slrtxismZSZ2YcJutqjV8v9yl7XfpBl/ueifniox5HTnscOGJDHLFhTZstc238EL7+lEcv9IgNF9sxqBpQMhJcI8bJDqkG6Sv1/s4WAKbATME9qt5Z0Oyoeo90mwEVr8/ZpYAvP1LmdKeE7hh4WcZ6bkZEbvuQ+yhmIJci32BmvbfQXqElSUGdLQtH+FZ9+Ln1O3vf7LD2Stg/t40pLoUyk/wwdaINRSo6CCHItJwRyEDgC6ncXAMdQxoMhhaNks+bru1y9xNtjjdN2rqOJbW8goucehCfk1ghUhqs6skzQ6Ai2StT+oeRzCc4YaRyK19zSZ8bL1ria0+38EONTTOCTbM6SSTZe7TPoTNL3Paox6Mv1Ni36LDYgfpKSL0UMbGss9SULLUn2DjX5o1X9XhsDzx/eDbaeaH30kMP3tO+8abX/8UAz6rHSrPznj3HSlfGw/Yl68csLlqnMzOWsGayh2H2QQwpOX2kNeDOpwS37irx2N4aOiZjLmybgeZQY34ZFk4nzHcloeUiLIeyoVMzY1W10wQ1pUJPjTt1cp/DLGzKMrJ1f3ErmqRTk3hETU0rt2MpHd/dT+h8Y3cVpEPJSDkYuvpcpj5y8RoltaWeiLoYVfHccL1Qtf9SV/LKf5X8Oe+1qr0pOExlB84oIdI0guwJkd5t6iYUKR9GZbrLQGVr6jJCDi0sK+SanR1ef8UKn7jfoe2XsYRQobiraAfZsiounCNGbkajMeFosxpF6SQnzKY4WfShJAoljtXnTdf2me9A3K9x9OQkvb6JZwdcv7PPTRd0eXzfSb7wsMvDz5RZDnWCvmSp53PotMHcGZ2Dx8pUyiGTtYDzNsvnAr/9HtOqvOJP/hUB/qpXv44//OBHorm1c0ldO8REVZlrtvp9TqwM2HsUntpvkgiPCJdn9pcwMNlYS2h4SqtZdgV+Ahdub4PW5L9+bJyusCmZkjEzpmTGuMaoaptp0JRhgClT805jJEZW6//CZtRIlfZpcnK+QDJ9bHNIpdTnyf0x/9+fjXFiqYxT1inrMU4O7iR3WBo5LWmrUgQycK+adYtRhc6vYi/9bUJee9kHKRhi5u1NkgNp1I+nTEON3LWzKDIQWmqmpmWqfJnK4WJ0aaDLmE4vYqLu829/qMOeIys8+qJJW9qqFxdJyk0v0IfTFOvRk0ukN10B5HGSAzyM1RmgCPA4VlwgTSREPZ/3fcIjiqpcsr5MEDpUSiEVt0S9XOai9T0u2dTm2esWCBMTNMmz+yV7jlicWrbYf9LCMGB6Ct78+unEMuaji6/8vm8f4ACvuv7VDAeDT91xx/FtnnXIM6wet9yv8/SLNSYqFiVb8OKxkKWOZK6WMFGKqXpQLUmqnk6jKlkzFXHDJTqHzsToQsfWdcbMhGphK2mlVl5GLiwY+dYZukir96gtsc3CrN0cjQQVuNWUxrUHnF32+eidDi+eriIdi5KuDNTtbOaaC4VXO+IahlxtJSZHq3ztWwB5REtdjdgkXYq8YsZDCsTi/1FcCI08rl4+ZYyTJAU3+dguWfVEUO2EzM8LsrCtjdClSbfrsGkq5N1vanJ43uFM16ApJEYK7owVOfre4/xJkWqE0s+rPneevKZr+JHA0uOU653SBtJJkS4jEDrfeLHMgWOTzO/QmJ2ARtWkXjZodk1WOjZjVYdLt3RZaUn2HatxzbaIt17T4Yn9Tf7k9goV2+TN10x2zz//5k9Zlv0tC8m3BPgF29cnd3z5y79/4fk73vPs7qPe84cdzsxXueE8k/M2JGyY7fL+O0LM0xZr6hqNiqBa0qmVdRoVjYl6xNqpPo414J4nLHzNVjTXVJvpWuoQmZnkG4Wqmfn75UFTplr/Z6v/3AQon5pkrUmAbQ2xnT637ZJ85MsNEt2lZApKumqHMnDnXJnsayimtuXR4IVxWQHZqw6A2cEw2+zlXtpagR37Sj2NtnoCUwT2qsNpGhgwcjRTVZzU6zBO8jl0/vkZtS2qkidImfbiaRXXdQtDD/nR72rz6J5lbrnLpiNL2HLUqmTcGk2wul3Rspsva500RbKKIIgERpgQ6AIziEcAT53LlCmUzWsvH/DcgZjDZzTCaEi3r9Pp6XR6Br2+ZBhIhIg4Mt/jj7+ks2nSYcd6j63rO/zz72nxzEsek9PbFx9/cv/vv+rmt33LB+e3BDjAq6/fyNJym3t2jWHR5x03SnZubNMNejy2Dzo9l9m6YHpMMlY1qJWV6mes4jNZH7Bhdpnjix2+8OgEpmExZqfyNVut1e207TAKrUDmLKtLLQW4torXkh8qC6r1vHpbQxyrz6O7Y37/Cw0GSQnbMqikUeC2Qd7nZwkUo8xNmQbLpn14qtjJJ2KrDn7ZCj09/DF6WwTZ6tblz2vcR8zDDPS5eLdgbprdCPlsPP2oWexgRo8tAlzkrUqiok7S8Z+uR3RFRM0M+Fff2+HIySV2vajTlA6Glk1TtLwXl1qyarIy8hcXKfFKUQVkqOGn3jKGrmEFAj/ll4O6SSwz4LuvafG5B5bZd3YMiBn6Pv2B0l/2BpKBbyFFmbITcvH2eZ7c6/Ds4RLnr/O4fLvG+ZtsSmPbsJzanwfhPx/gXmViOPRb/+y7rpv6zIFDT3ua4fOpB20WVwzOLFhMlgzmxg3Ga5J6RaNeiRirBIzX+qybXubYQptf+1iVhZUaM15C3YmppNpMx9KwLJkTbERaujRG/uCZN3jRNtk0RrZw1qqD5RDHGhBpAz5xV4mnX6qhl2zKOvkI0kq3ZZaRpiYXwK3GjyOimJ4y1xJIt4MpiNPWIDPoyebSGXf65Qlqr/STHbUexWnMuX8ntJGddCZ0hixqUPGrkyTJdZvKnEeQZJbGZE8ggdBkAegxujSRIqbbDbloa8gPv7HJ0y+6tH2DpqZjFA+dWpJ/DVqBNZlVcxC56b2W3l3KZVjDMpWDQBhpOe1AyhLj1ZBfe/civ/YRwZ6TNXo+9Ich/WFMry/pDnR6Q4c1k5I3Xtbmgg0+i62zvHAw5pv7HDZv2NmdHcp/1pieGv4fA7y1PIhLpe2PXXyJ2Vo4+4J3ajFkYb6KZ0nOX6upeXhNo+zFlN2QWnnI1FgXIVp87bkh//vLdZ7dN8ZMSVM9uqtRdpWLrGsrUJmm+gUm6SMuY4/pBUMdUx+lOuRutWaMZWQzb+WVYho9/ucXTD7/9To4Lq4hqBTBrZOLMkw96+1TcFvpdMZIME01GxdCgbc/hCBQ1NIsSErTVPZ7HBdYgAn5wqPAQM+XNqsgfm57smrmPBId52afqZOtpmkEYczQV4rzOE5TE6RGZKT02iStrAVnVmXOkyClQEo9pRGbSBmid0PecWOH/ccWed/nTXphmbZIY/sKbsIj94F4RDZLzfpBpRFHSXbjpeQ7U8PxBUGQ0nrj0dPsqm1N3vuTC/zxVwY8tneM5Z7J3FDRspudiIUVydklg7mJBq4dMl0ZcszrsLDi8dqbX93auH7DY51uM/7zMPznAlx3pjBtfcH3g3dOTF/9tfnFx4xLzws4fFqyc4Ng+/oO9UqfMDSxzIhaqU0vaPOp+03+5I5ZiFzWVmHci6m4GhVX6SVz1Y2t7nApFIWy24eBn1XxzH87OcdMR4VLWXqY+hOq3tux+pxaDvnQV8dYCUpYtmpN3AzYhRhwwzh3M1pgIlqjFsjQFSoXmjqLTcEwUJXMNNTXmJny5GKDog9JYWlTPPy9rHoXDYmL4M6EFplhfIGE5Aew3ILlluqA9XQSFEYpdTnJ6/doQZUuraRMpypST3tyE11GVEsBP/qmLp/5epsjiyZt4WAF2sgUKQ8BKL5ND65xQpxGEQ79mN4gTBPh1BRsYEn8QDlbRenPKVsK7VzX4X3/rM0ff3nILV9rcGCxxMRAw9Yjwtin6ulsb5ucv9ln77GIbrfETddcHiRJ8M7xRnlhvGHz52L4z/s/Pcfg9KljTM1sP9HtRwcPHNy9felsl51rTUy7xZP7B6yfDNg0C9NjLZ453OdXPjzG4ZNVxl1Jw02drByNsicpu5KSp6wIyl5C2QlxHWUTEYQJz+638QPVmmSm53rKFRnl8ShnWTNlC9pmgOf0aXaH/ML7Kxw4WUFYNuV0iWTpo9bETKu3+rPENGTKTFTgdmxlXZH5spTsAM8dsNjWOXiijOcoFmOcqK2elCPhQXxua7JqBXROd1Js0fNNKHl7lnFdcnDr6U1oarh2QtmNOLE8YN+8oGIJSqkOVnmQR6s+jxACLXWjVbK8BClkqvrPglkjegOHDdMR/+09C7znfSYLXYOWMDBFnKdPq7caMixkXqZPDKGphVkYJRw9GxKGSnXlWALPiVI7CpkeOHVFJwgk/YFJpeTyT9/c5k1XnOE/fmTAc/vH2TymsXltwNx0j+aKwYtHSzSqIaZpsXPb9oOb1m06cfjwUTZuXP9/DnAAISRf/OquIyWv+lPVsUsfSKKHMOwm9zyp02lPcP1OydY1izx7JOC9fzbF8mKF86djSlaMaYBtCFwnFQN7BhUPqqWYaimkVgqYqPeplds8cSDhxaOTVF2TSknHIs1zkcnLPP/U4TJrT5TJ5xcfkTz0dI1QupSNdGpipIQto9CaGFp+oLRSjottKUNHz1ZsSM9VJv2T9Q6L3Q63faPB4tmIjdPZz0RDlxJDHwkORq3Jav4IySuxwUdDwJeTs0bU2/zArQvFtHOUT/vGuR6l6gKPHihxaLHCXDWhGhfcpogKHyfTko5sl0f2FjG61BnqJrqv/NVvuLjDGy5t8om7Hfq6pJNlL0koCkN0SXqwVZ9V16FaSlg/47P7ZJvnjriMuZKpakzFVwoe5SCgKzPQlFLQHUglXHdcZsY6/PIPtPjNW5ZpLdfYPFnl2gv6rPR73P9Ul9YpwdvfeBFTjeinTh7ZdaQ+eclfBN+/GOCTU7MMBj0syzn15NPBg7d87vEbDxyO2DjlcNX1PrXaCgfOdvnjOybprnhcth5qZR1DV/IkSPAcnYqnUy1DrRTTqITUK0Omxzr4UYtHXgp5/23TWAHYekQcqwjxDNxZPHdmeG8ZIZbhYxpq5r3QDPngV8aYH5awnXNakwKws0OlmdNttXwjmvmylJyAkjukVu4RJy2+8LDkyQMl5jzoDzOeu9IYZuOvuDhRSbRVK/hRBX/lKcqI3ZGsAnfGQ5dCAcw01A7AtRU785JNMe+4YZEPfNXibNdKb5eRKaaWTjyEiJGayKm/yg0XpBDoMt1w+jG6iPJW5Z98V4e7Hmsx3zforFoAjZIrjAjCOMmZjkKor29uIuZfvaPLH97RY/ehGvvP2qypx4RhNIpuSQxIBFEC7a5kGGhYhsnZZZuNsza/+P1NPvClFXa9WOLF4w5X73B47cUdlgc6M+s2Prhx242ner0+nuf+hQCXf+F7AL/5m7/Fa9/0XUu6UW4P+tq7rOQ41140oDPssut5wVcfrRD3Hc5bK1g/Y7Jzo0DTh5xejLENnUpZp1bWaFRjxqsB47UBa6ZaNPtN3vcZyYe+OkXUd5ipQcmVeM7Iq7CowLdTUxrbViPBsjcg0fr8wWccvvDwOL5WSoUSinLrWEUuuRhRbc3M8DMVL6eV23UiSq5P2RvQqHQ4eGbAz71/AmKPCS+lFOjnBigVbsRVryzKUFVGx/Y5sxLxpYdcTi57SNPAlaS8mPQgnVEG0lm8OgjL9CkDnqWSp107pFH1ue6CJl/+puTwgpeu2rNxHquovVoq1tC0c1RJ+c2UzbuV+f9kPUCTAY/ttuiHFkIKzHPEHsUwLsNQTxgnjX5fM5HwxitarJ1t8dh+izNLFoZM0BKlTxWaejLZlkbJHXD4dJ99R3WCUNLr20xUDS7ZElP2QhbaAfuOxkRBzHVXXcH6tZv+3dkzhx6amd307UD3L67g2XXjNWuBymOm7Nx6T//02+996iXisEKjpDHuQGVMsm7GYOvagPVzK3zuwZDTy2WqawQlR6NWSvIR4tqpJsvdFv/90zZffnSCsZLF9HiMZ6uDn1q6ZCPBkRWaZYSYqTe4bfp4Tp/7n4ZP3lOj1SvhlUetSTY1Uet/FS1iZmt/QxRothmXPDP6VEojy+zx9AFBb+gxU01Zf5ni/RyB8CsaXRar9iuMCrNB3qoGJgMlrGoxhGTEDUnXn/2BQbVkcNWWFrsPVFj2XaxMuJHrS1UbIkSUi6hHUYepQbwucp6KLg160qJeC/jB1/XY9UyTu5+06RjqYxtCHTr1lJSlS9U6BkGMH0iGvkanr3N2yWP9dMQ7rl7Akif5zY/PcGChTJxEJMRIEWIagnpFMD025Mhii6ceV0nF3b5OEHqUyybdXszV23z6fo/pmY3YlR23zvcufCwKlr9d2H77ANe0OZYWTh+56ILrfvaBh3fLkj32Ns9qcfRMhGN7rJ/VuWjLkE1r5rnzyZCHn60z6RlUPEGtlNCoBkzUe8xNNFnpNfntT3rc+dgEE2WTNfWYmpd5FkqcQuuwWsCQGd8PKXkD9hwPed8nqxxYKGM4BmVJ3pqsJmxlSn+RG+znPoIZuM0wzxFybeUj+KmvTyCkgSWV82zGCxnF7J1DcWU0+/52OSnZbfByoBeiTHLAq4+qJhCSILT4/ld1+PI3WpxsWbh5/uRo0qHylLR0LChWAVyp1WWaQ6mjp0+dTtdmTcPnZ3+wxckFm93HDVrCxCxYScv0wGnoMUagpSaZknZPYBkmuiwRJQlvvGyZODrFb/1ZzKGlMkmi6AKmEdDqmDQ7Ltef3+PU0jL3fLNKd2gBBpsNmJlocfi4wUS9weT47O07z7/+Z1eWzx7duH7q2/7Zim/7PYHG+DR7nt919E2vvvj52Zk6zx+AXs/jvPUml2zro+nzfOCrEZ//Wg1PWqyd1JmoaYzXQqbqfdZNrdAPl3nvJz3u/OYUEyUF7kYJqp4aISp/E3DsOPXJK4qUM6agT5IMuOubBl9/vkIkHFxDw8umJvpqAteoeovComdUuW0zwkrN9R1riGP3+epjBs/sreCYArNgBZHzUfJDZOFVvP4SCC++66q1vbb67xKU4l4JHQS9gckl2zTedGULLRjS9FVQwSDQGAZK4Dv0E/wgxg8i/CBhGMAw0Bj6Wm7ZMAxkap8mGQY6Q98kjGxuPD/iDVe1MGWPvh/TDjS6gaZEML5G30/oD5WvSn8Q0e3HtLuClY7OUsvi9EKZheUx3nS5wX/4wTN4dpODixpnm7DYjJhfCTl62sAf1HnnDTr/5C2LDGWXZw74vHRYo6SX2LomojY+xfjc1c+/sOfxvxS44S9RwbNrbnaSSmPNb189/+Km9kr3B7SkzZZ1TRLR4nc/a3JmocbWKZ31UwZrpiSzEyGzk10mGyvsPdHmI/fWuOuxCWYrgslyTL0EVU/ZrSnfcY2SG1GyVfyHl9q52VaQMgVVhT1yNuLub9ToDT2ssk5JgqPHo+pdWMUbrwTuYoqEqRIkVPUecmY54H/fPs4Qm6oEs9CvFq8C1lf/vba64r4SvTZT0xdFDdnH+lYU8SQZOVaFqZCByOSn39bjS99sc6Zl09YFth4VogxHjrNCqgQGQ2r4WRirzM4SEkPX87NDv29Rr/m84eo+dzzSZt8pk7buph4xoxGnyHv+URuk2IZGTsIKQ8HrL2sShkt8+J6QY6fqAAgRoGkaSeKwYVby5iuWuHjLEr/3mYSXTjokSczc3CzV+pZP7dx54W8fO3HiLwvXvzzAq2PbOLHvC82Ld6z78VMnDs7dsSu+ISHhTNOgtVLlyk0GcxM6U2Ma0+MBaya7TDaW+OKjPr/zqSkEJTbUYbyUqOWPJ1JgKz/BihtRcSPKXkjZ9XEd5TJrmz62NcC2BmhyyP1PW9z1VAXNMZUFsh4pzkoWGquj+N05U3DU21tGgpkuc+xs5GipyYxt9bntboODJ8vopo6dOcXK7OA2yp0vzrDJljbaaniOsL3671cV/uSV3mM16LN3jhNFRw1jZSM88C02z/R5xw0r/OFtZdqhixsIDBmPBNVy5FseyBg/jTzUAy2fs/s5yBXQfcOg27N4zSU+N1/a4eAph9CXrGCRIIiSOG/VMvmGpmWSMT2l0Bqp8Fky9HVuvqTF665c5L2fGvLFB6cIY0kY+fhBTKevs9Ke4MLNBm+4csCZeYOtcxEvnbYemtm6+cc/8dl7ez/z7pcLGv7aAQ4wt/V7efaZh3obt7929zXLt17d7faMl47Veds1OmunNCpeSNkLmBnvUisv89ldMb/zmUlc6TBXTWiUoOwKSo7EcyUlR1LyNCpeRKUUUfUCyt6QsjvEc4bY1hDTCDB0H9McsOs5jfd/vgLCwdSVQt4uWMmZGY+lAG5T19TYsJgBZK0WSXjOgLMrAZ+5v84wcqjYGpYe525X2RLmFUXGRVDnhj+Q27Vl/O7RgDxfWWeVvIj6JH2/IgUgV85kouJIaS09x+L7b+7x2QfbnGlatKXE1jXMEBWREpADXNdj9FBD90d8n2Eo0AOZVm8d04jwA4Ohb+KYJj/zvT32Hm/x0HOSMIDl2GAQCvqRhh/Ho/EfMQkK5HEiiWKBH2gMhqnv4NBgqmHy89+3RJKc4fNfn6Qz0Gn2Qk4txhw8ITl0ssqGOZs93ZCjC9O8+/vf4gshepde/JcH9/8xwAGE0Bl0XvznO8/bev19D+2+4PJtEWO1IboxZHIsYP2kz3K3z6d3Cf7gczPUDYv1jYSxioqiyIKnbEvDs6HsRVS9iGrZp+qpOJRauYtp9DF0P40EjBkkAbc/WOG5F0tQM7AkOHqS6yvNNNveSN2SRpUbzIKthG0U0pfNANsc4jh9/uhLBrsPVtBMUxnUiyQ/tI00mecc/sgcrkYq+kx4PKK/rhYdFy3acvEumQHQ6px4Bexz7dpE6neieubzN/b54dcs8/99yqNjlnB1DVMUU5szgXU8oiUHGaFNEMgEPzXf8QO15Q1Cg/7Q4sJtQ77nxg5PP2/TChKSUNAXkkFg0B6Y9ANBFMfExAX1f0IYSvpDQacvaPVMOj1lrjk7afCv376EoZ3mvqfqPHvSYdPkkMDQ6J40WGrDXFUO7crkQ+vXbfqmEH+po+JfD8AvuPAaTp4dJoHfu33bqT/acvDQHvuxb5Q5cFawY1Ob775mhQ/cUeebeyeYqxisG0uYrBs0qjrVklqygOoPPTum4kXUykqZP17r4DktXjoZ8OQ+ne7AYaIy4Ade20XTYzSpga6jC4md2g9kHhtG2mNmB0tDT6u3MVIC5SDPJjOmT8kdcORUxOe/XqUdu5R1DUeP8wSGkTmnViAZnWP0UzDjFLkBZ8a6O8f4J8+ezFiABdIWowPlKiOg3OiHkTVEKBn6JrZl8o6b+nzuwTaH5i1auqFGe6uqeArwdI7vhxpGoOFnYpNQ4gdxCm6dKJJEsSQJBUSQxDGePuBdr+0wVoFWX+fJfR4vHasyiCyiPMxe8Z+iKKE3UCsoyxSslATtvs3Al6ydEvzCuxZ47eUn+OM7HN5yTch5czUOnyrx9Es+XmXjoqX33z4+Vu385dH51wBwgNlJK/5v/+uLv+boa4Opif6/X2otmj3fIQhcvvZsl8deqlMzTTaMJ8xOmMyM68xOJMyO94iShFMLNmEo8JyYihdQKw+YarSxrGU+/YDOh++a5uCJEoOBYP30Am+8KqZa8dN5s0Bqyl/DyNTxBZVOFjFipgdLMx8LJnmQ7Ei/OaTk9bn9ywYvHSuj6SauDlZRbV/I58n68BE5KtNCFnwKc5Bn7rbFCh6TkCgD/ELI6siybQTuzLJtBPLUki3W8jAnP9TxA4ttawLefk2T3/1Uia6p4lmy78GQoIcJeqCWUL6usi1NXZG3DENghnFqMxEThkpHGUYyTWHWQJiUS5Kfe+cya8dL9AYxh84s87F7enzyvgmONT1I4nz+LiWEQzi1FBHHgtkxQaen4/sGcVLGtSKu2DJg3yVtdK3O2YUyJ88KJiY3+2+4ce2frJ+x/X/3r/8qCP0rAhzgyu0d33Ya711eqPtRcOY/j1V9sXODQalss/dISHc5YXbcYP2MzsbZgLnJJkcXezy730OEFmsmwbEiKt6Q8Vobx13mQ3dZ/M/PThMOXbaOJ9TLGjs2Nuh2wTGWSSLVH+ip/doI3CPJm74K5Mmq6q3Gg5kBqJrKPPh0wi13V2n6Lp6b5eckq2zdRrk5KchXbQWLqQ6ZgU6cUktHAVSjPjxmmNquRdmqPy4qdJJ8qZQko+iSzHcw0zuGoU4Q6AyGJrWyyT96XZ9HX1ri4RdNWsLClplrVZJPVYwgUb24rnpkU1dUYD8UBGGSS80U+y/1GBc6wiphGyZ37jLZsd6jUfVZM9nm376zhaOf5YNfneBku6Rs+oyEsquxYUZjw9oOTx0M2XOiRLsXE4QGmmZQL7vsPV7mtgcsPLvB9rmQRDPi7dsn/vPyYO3vHnhq2f+r4vOvDPBXv+aHuPueW/ul2o5b3a736/uOPcTTBypcviPgvJmYk5pk7YzO9vVD1s0scucTPp//eom67XDhBoGhJ5ScgHqlT8lb4SN3m/z+52axEostMxGTNY3ZCYMLNxh0ugElp08cB6Cp/HIrnRYYWXuij/rKvPdO+2/TzIQSqnrbpqrcQTzgw18q8eT+KtJV+k1bJIXqXbCLEBpawYE2q9qjhIesemXBqJHy+hPRSI6TRBArG2M/hiBtO1TiAwWwZ17hiUpsKFgn5+r1dErhBwbdvs0FmwN+4q0rPH/AozPQaetSHbozVmZGKwhjgjDK47fNAAJdEBhxnpsThJI4koCSN2m6Sc0SPLevShwbrJk06Q101k7p/PO3LxMn83zkLsl8x8Y1FcHKtgwu3GLx2itbfO4hn3serRFE6mc5XrM4sVzC0eHi9QGO0+Paqy5NJic33jr02/03vOMdf1V4/tUBDhAb22nFM/vWra+9Z6nF/3r62SdE37c4s2hw3nqdi7b02Lz2LLc9mvCJuxo0LJONkwYzYxr1sk+j2qfsrfCBLxu8/7Y5bCzWj8dMVDUmGwaTDR3HDkY0UyEQQmKK1dVbTz1OMp5I1nsXo7VHM+8Azxmi0eOjd5nc/lgDDI+SoeFmninpAa1otPmKrwKfI48QlEoWpssQQwYIGZIIqfgYUQDxkDjS6UsdN9JGAI+TAgU3Wd26FNqUkb+3IAh1/MBQesdhyJuv7PL0Gxf4wFcMmsMKZmY0mlXzjC8jVatihipxwQwTlbyQZvSoFkhXII9HI9D+MOTsolrxgwNozE1q/MvvXUQ3zvDhr87hdnQqTsTphZiyW2KnDe9+7TJhsMQdD9cYhhqeLdmy3uTaC3xmGwEXXnh1PD274z1bz9u6L2if/uuA5l8PwN/4qh2cOHbAn11z1Z+eOn7IvfL8id/be+Ak6yZsLtrWph8t83tfkDy1p8aais7GaYO107paAk30aFSX+dg9CX/wuRkc3WJNPWasrNGo6DQqOrVyQtlVOfWaCBhEOrpu5kA0Zab80VLuSRrxl8Zrjyi2cb6xdO0httXjs18X/JePNVjslXEdFcti60luZVY0vhn5E45alXPBLVNgG7qK7rOMIYk25PgZjWMndebmAo43+yx3YBjq9IWkLzXcOCGMRqqmnOcSF3kvxYDXzEI5q+C6kqD1bKqliP/w7i4r/QX+7D6TpnSwdVXFTT3BDBV/JNC11IheWWj4utpu+nqi2pVA9feBb2DJCI2QfqArt6lOhGVJdCmRwkKIhLmJiH/1vUvEnOTP7p7D0iWWGWDoGlFcYvOczg/ctMKm2UXuecLjqYNlLMtClwmLvRla3dq/vfG86/9079590Y4dF//dATjA3NrNnDp9Onrjm77rwNd2TbWXVu4qt7oL3HI/hJrH0aMe22fV42yiLlgzGbJ+pk2jtsBH7g55/21TWMJhrhoznoK7XjGU1rMcUPF8ym6f5w9FfObBMVxXUjLilOut2pVMjZ/FqZjp5GQkcwvT6j3Ec3ucWhnyxV115psNnIpF3VT+iJbMzChXO1m9XFZWYNUVAmAVizDAsQe0/CG/e0uJD325zPkbh/zmT62wc32TD37F4/c+kXBmIOlJZYLp6EleyYtpa0nBRnnVXDyzaogEfqAXhMAwXo95+3VdHn16hf1LOrZuYIkYq2hXZySYQUyoC+XfnXK0/VBj6EsGho41NFhpu3zvjUt8+sE2Lx6yafXB7UTpbsJIVUIWuiwzMx7zc+9YxNBPcMvdM2hnDeLYJwh1Ol2LdTPj3LCzyVStA0nEnkMGJXeKd3z3De3ZdVceWFw8Fe3Yse2vC5bfHl32271++T/+J2w5eGnb5g3HNam/avdLZ5y14z5xDBMlmyt2CDbMhYxVYPNci2OLK/yvOwS33D+JKVzW1GImKtCo6jQqBmM1wXg1YrzmM17r4TlN/uA2naf3TzBREtSdmJJFSq1N6bC5+6yKKcyFDE6Il3K9q6UerV6X3/iIx2d2TeN4Dg1Lyy2bLSN1nM1nyFlfP5qtm0VGohFjWRl3JsCzh3hOn17Q432f9vj9L8zQ7VaYrCa87QafjdMml20OkbrP8y8ZtAIbUwpsPQPfK32+7DwxouRmqhwgD1slURk7Uaxx/oaARrXPk3tNlnuOGp/mrUpm0wFSX204KrJDtZbk4oh6KUATA+5+soxEYsnMhTbNpE/NNEHgWoJrd/ZZN9Pj6KLgyCkDScxCK2SxKRFYtHoxLx522bKuxmVXvmZp7Ybr/tXZ+f5nxsdtfuu3fvuvDZN/bRUcoFGrAnDqbPtj23fcpL/biX/7tjvvm2i1fK4/Xygr5l7CphmDg2c7/NHtLkdOVdg4lhCHMXUPamVJo2JQr0oalYhGJaBWGjBR7/DCsSF3PzlLyTap2xElexRXaBppBU9Ne7L2xNTjdC2vem/XHuBYPT50p8HH757ELrmM2xp1K8IxFcBEYUtZXJPniplz1TdyVMENQ1Vv0+jz3o86/MGtM5hWmbES1MqChQWLY6UQ2+rzM9+zAmKBX/mQQzcqUY3Ic23UJGXV4jO/ip87gVTMq6vJRyjVfydqAfXDr2vy/OFF3v8FmxXfw9U1ZUKf5uQEYUKYv1QVV9tHmQI8wdBtmlaZ11+yxMfWLfPiwSk8U0vjYYLUeVdHlzqmYaPrEWFkcc3WiOlahz/6IrTaZdY3AtrBkCde9Lhqh82a2RIzm143f+MN1/8iUfCxyYnpv044An9JNuG3e81MlukPhx8an7vhl6bXXDQ/Voe1M8vc84Tg6KkKMT2+8KCB363zQzcJ3nx1G8uIKTka9bJOoyoYr0WMVQNqZbXVDOI2H7q7TLdTZqYUU3OU1tNzlJhBuVGJPD9eBWVlUreMbxLguX0e3h3xZ/eOYdplxm2NMTui6iRUnYSyA7ap2pAoz5DPlCjkhpPZtlJNUUbR2YYe4Vo+T+1L+Ng9DaRRYq4E28dj1tdsTpyZ4MipOkutMoNhhR967ZBLtzcZ+jGD1N87ynxPkiT3IyzeXDIdSSoqrLKK6A912l2TZtek1bVp9xxaXY92t8wPvXbAdRctMRiEdALBIAA/QIE7SgijOA2LUt+vH2j0B4rb3eqqVIzllkfZ8fjxNzSxzC5nupKVLiy3Y5abAUsrEUtNQaurM/A17viG4NP3TODKcd5x0wBNDtgwYfO6y0OOzndYaodcduGO+be+8ZpfguBDml77m4DiX2+LUrze97vvZXLHtU8NY3N+Xb1505n5eceVJW6+os3uIz4HjtS4+jyLGy/r8MjekGbTZs2Ewcy4wexkxOy4z1hlQKU0YGZ8hQ98GT527zTjrsF0OaFRUcm8nqO8VbJkBkPPhMRKqeM6ISU7pOwOqZR7BFGb//ShCo/unmKsrDPhRFRdRfwqe4KyKxBCcHJFY5jaRMgsJtFgZCdnKvdbx4zTVijCtQM8e0Cj3uaDd5o8+MwkNddkuhQzUYXxqoHn6IoPk0rxqp7PStPna4+XMWwDLzvk6gWJ3aqWKFM4hbiOCs+1jZjTizYrXYMgUJk5WYQ3aKyfDZmodLn7MZtu4CgnX300fVLnlcyyTv2brJKHkZqDZ4kPO9f3GUQDvvZ0BVNXnoRBoEJgpVQKpEY1YBi1ufNRkyTyWDsh6fo9Ht0tqbsO0vQZG1+/dN3l9Z/vNV/8UGXs6r8pGP71tijnXr/0k2/j5IkDn/D9bf/+rrvubGjs5t6nIg4dr7F9jcvNV7Y4utRh7+Eys1WdqTGdNZMRm2bblLwOppFQ9SL2HPG55etjyMhmqhTTKEOjolMt67iWZOjHtHsRUVrtlDQryRUnWfUuOT3ufUrw+N46XsmgYcdUnCS3tKh4kmpJp1oOCYwWj+6xmXQVMy8ylGVxsV0YrefTWbhU3PVjZ2K+8aJLLEwVoGUm2KbyGY9iGPiC3tCgPzAJPZsrtneZne6x3LUJrEwdv1pMkcUSqv5YkcVKjk+t0uTRF0we3+NR9QS1klrSJEl6c4oEcyXkiu3LXL1zha8+XqJjGZTT9kRNbUh/burJJwS0uwkDP8G1NYJQT5POIspumXe9apl7n2px6GSDkJiVIKY9BAgwDZNG1eX8dT0eGm/xtWc0TMPlqvM0Jqo9jp8JueT8re3EmvmXt++Sn/yXP/HDf5MQ/JtpUYrX2PSmcHJuy0+sW7vm3Z1o4+C5l2ymazY3X97mTLPFlx4qsa7hsWnOZO1UwpZ1LRa6y/zu5yS7nishNMFzhw0Wmx7TJcVEbFR0xmsGs+OSi7YMGat3WWwF9AbqUQujyYaymQhxrCFRMuSPvlSjOSgx7iRUU0uLiiOoliSNqsHMhODirSE/+33LTI63WegJ5cwUF011RkSrbNmTbS0dK+D4Wdh/yMWSAkdXUSl6ugWNYxVnrcQFakFz3oaYdVN9Aj8hSNIWJfc/LHzOVB1vyATTCKmWBpxa7vH7X7B49kDIqYWAhSYstwXNjk67Z9DtmbR7Drbh8lNv7qLLDi0/oR9qBNFIGZ+gzhKenTBeH7LY6bH70IDTCwHzy5ryhmnZLDU9GmVF7tLihOt3xvzs9y9TaXTYfyri5HzA/mM6x06N89ZrTcbHO3ztaZ+z8zbnrRG87vp1w3pt9icr9tinGo4R/x+B6i9x/Y1WcABLasnv/a9P76pWxx7Vrdn+pefLj69vHLbPdnp89dEKa+ou4zXlMjU30WWh1eJ/3+YQDKo01xq0un26gU7Z1BkrJdTLCoiTDcHaSZ8dmxY43gyZbzWQmlCVCPK5tKkr3km11OPWh3We2lejYgsqVkzJTijZQlF2PZ1qSaNejqh4AZNjEZ415HCAAkL8csDlfiYiQeQ2DCG6HqNpRjoVGY0SNW2UhqDs4NQiBXSSMCKKIvxYFhT6595QSc7zMPQYx/Lp+xHHFkzWlhKa7QDL0NCljqHLdKFjYhgRruVyyZYhb792mc89WKLn6Pjh6HsDRQl27ZiJeo9+3OWF4+X8oC2EgWUYVD0H3XBxjYiaF9FwLDaO13jP9yzyh7cKTi56VLyITj9molbmLVf3+PI3+zy+L2bLls3Dq294V9str3k4DHpRoz72Nw2/v/kKDvBzP/MuWq1T0S//m62ff+vNa37Krq3l0/cazNZcJsZ6PLG/h6aFVMptPny3ZGGxwoUbDNZPxZxtBty+q4wtJBNVQb2qM14TTI2FbFrTphO0uesJk1ZXIoQ6/gkxOmQaRoTn+Cx3Az6/q0zXd2jYKu/etTVcR+A5grIjKLvZQilQ4Ioj4ighzKL7itOM3CRz5KMtZUycRDy136IdGGo2n3oKakLLwZJbDafG8IYuuHirTyyj9HNpOdnq3M+naQWui4yQegwa9AON7iCh01PSsU5Po9uTdPs63YFJu+9g6jbffX2fSqVLc6ilppgQRsqzJDMRrbkJb7iih+kO2H8mYX45YHElZGFFcHbZIgw93nZdSKM25OgZeH5/ialSlR99Y5PlQUhCxGU7mpxttjl9xuUdNwZcclGjd6I5++6p6Q0Xup59yi03/jag97cDcIB//c9+hFbniuSaG3/48IZt37vvyh0bF9ZMdfnmCz5zdZMLNnXYd7LPidNlzl+rs2lWsGG2w4PPx5w44zJV0RirSsarksl6xNx4H8de4fZHJPuOeZSdLHYk8zRU0xPbjCg5Ax56TuOJF6pUDaHsm21wLYFrKW66a6vq5dhq4qLLMB/DvWxMBwUhcKpe15TJfBDG3PGIzXJfYsjVFg4UPl62qAlCSckRvPnaQTpeSxc9FBxrGfXiOdhTHjqpIX4/1OgNUeaVg4jeIKE7EHT7km7foNs3GQxdrt6h8eoLW/SHEb1QEISqTcleQQjtvsm2OZ23XtekEwacWIKFZqB0lMtKNb92zOKGi9scPBNy6ETE7kMV1o55rF/T4bkjEafOlrhqZ4+TS12E3N78gdfP/eTP/MQTn/mdP7zltK5pka1r3y50/n4AHEBIC2DXjVft3PaTP7Dl315x+aWLN10yyZrpIZG+yK7dOlMlm/M36Zy/uUezv8LDu21KusFcQzBRN5gaS5geG7JmaoWnDw742F01RGRQdZNUPa+NCEWGeozHyYDPPFjibMel5iaUrATP0nBtDccRuLZKb3Ztpa5XuZrhaEX/MudMVnt7a6N1vRQRmhDoqU/JqohvGIkbcnagII4kSQRJHK3uv/MZ+MtVmnkIawhJGDMIYRAogPcHEd1BRLcP3YFUIO8ZtDo2Zcfme2/sEcsBnaEKZfXDJF/ZD3xBs2NAUuIfv97n4q1NjizC2WVVyc8uwYl5m8GwwvU7A0rVDs8fDdl9QGNxucarLhwQyxb7T/rsO7mJCy+5dvF4e9u/+o2Pzd5yYs9F/OK/+Md/m5D7m+/Bi1fJGUlb5uff/NEdY4Y+Pn7/ez/86fsnXjjQY+/hCm+8WHDRtg69cIU/+pLJ3kMlLlojmB43mJ2AtVNDNs41WWi3+cT9HnHoMjseU7IFjp3asaXuU6YRUXaHnF6JOb3iUTYlFStWseC2wLElriXVmM9KcKxRGrP6nzwnL3K1h/cqoOfChphEE8pNSjsH3AVwjgJUNaJEpKv4WAEcjSSOXyZpG9lSKKvmKJJpHo9PP/QYBDAM1PRjMIzpGXH685A4lo7TN+kPXCYrAWsbPRaXXYahosoGQczQT+gNBO2e5MySy7rpMj94c5t9J21ePFMGYqT0sSyTilfm/E19/uU7l/iTL8IzhzxM0+a1V5U4by5hx5Yyk+tePf99b77h3/tB+FHHLfOn7/1bxTbwt1zBi9fERAXDjD44t+FVv/SOt7x+PkrGuWJDQr3W4bkjXX7nsw6P7amxri6ZHVdazx0bOsxNnqEXzHPnE3DvEw2myxpjZY1KScdzJLaZGXWqaow24NNft3jhcImGAyUbdbC0JZ6tqz7cTpQ9Reo3bpo+j70gOX7SwjELnBRIPcyLap4kfylj+QQhC66uxRsjv7S8iisarEh78igVQBTTI0Yr1FEwrKr8w0CyfjrhsvO79IOEQaAx8GHgx/SHUWrlAJ2+Ehp0+2oJtGOd5Ade1QYtpBuoaYofJgz8iG4/YaUtWVixWFwp8/pLBW++cgG71ORoM2DvsYjjZ0KOnTU4cbbONVtNfu77m+zc2mGp0+Qbz7nMTE2w9bzvmn/Hm2/4pThJPui45e8UzP52K/i5V6VcIkmaf3rJZVeES2399yzjvvojz5/EshyWlwUbx2CiCpMNyYbZPofmm9z9lMoBuu8pl3HPYLoSM141GKsalD1lHZatzctuwHwz5Bu7y+iRQd1NKNngOQLP0fHcrDVRIogs294yAvYekSwv2UyOZwqd1UGwI6iOACxFQm8IfijPSUQevXcxBSIXEifKi9uz41WpEdmVx5bkicKkgl7JmmnBznVD7nssZhBKhqECuTlUrrG6LjBSg3/b0ml2bBoVh6t2dvjkAwPa3TJhJVLjyyCm1QlJYokUEsdyGK9VeO0lZ4niFiU74MVjFofPlKmXBfMNA9epMl1rs3ONwHP6LLbHuPlVr1+uTl/588fm449snPW+kxD7zgIcQNOqJEnwsZtvunxpaeXI5rfNrP+d7sJ9xmTFoVGJOHraY3Y8olpd5H/eZlOxxrjuog5Lyz7jXsJ4VWd63GD9TEQcJ6y0dRWSKkHKgL2HNA6fcVXgrBNTclSeetkTVNyEsqtMNy0zLPgJBjiuRBi6knwVMuu1b5EhqGnKSOgr3zTZd9hQSWVpAoIgSwkm57Tklm9pBd+xIea7rhxwx66XH2qhWL3J1TxBpORf/X5CHIUMIp0gVG1Kf0hKIQhzaZpt6Hi2motvmOyyfW2fp/eUiFITfcMQLLUjFpoRUWxgWyYz4w6TdZ2g12DHRosrti/zWx8RnFnSmViO+eZLOnW3zItHI975llcHU2uiX5hZe+UByy59qVb5jjUI+fWd/woATTPibnP+9nd99w+//8ard/yL7TtfG+3cXIkXOxFhLBlv9LjvSR1XlrnhAp2xWoypW0xVNCYbOpvXRNQqi9z/TIvj8xF+oEJNE0KeetHkzKLNWDmhbEPZlVRLknoZGpWIWjnAc0J0Pcn5JKcW4daHPYQpUkFzRp/VVrca+YxaaS51GXNiQdDq6BhiNEE5N7Ln5eIFQdVLWDMe5EuXEfdklLUWp0Y6ao2u+NqDocl3Xz+kMTZkmCqCggh6g4RWN2alHdFsBzQ7Cc2upN0zWGw6TNcMrtjeJ9FCwkit7NdMCm6+coWVfoeDJwNOL2rMLzv0hiXONAW7nnXwew1ec3nA6VaAIUIa5TbH5yvxjdfdHHn1C//Fzot+/P3HTi7dXquIv/Elzrdz/Z0AOEBjcgsHDu/3h8nsx8YmduzU3J2/crazlelGwMmlHs/vK3PFdpPzNnZ59uCQcGizdkIyM66xaa7N3pN99p2Q+L7yjDJkjKH7BEgs3VDkrNRBq1ZWdnLT431mJzp4tp9LwDQtod2DvYccHENTDli6sqGQcjQJyUUIBfQKLUbXQegCXRstd7JWJf2nq/nciUidqgRhkBKrEm21b3jhxgoilCghEAwDnYFvsnN9TMkN89gQKaA7hBPLcHolZqkVstIOaXWg2ZW0uhZD30EmCcMwwo/Vx7dMjU2zGpvW9zhwJuL0QsjR0xa2LHHR1g57jg54/AWbiza4zE50OHo65KZL1/Ca6zb8ypZN23ZetGPqY8PhAf+KSzZ8p+GUX9/xFqV4bd++E6D//g9/4aWDze3vfe3VdbNiu7/89W8eluevE2xcM6AX9Hh2f4UL1hqM1yXrZnx0c5lHdruUDIOyK3AsxdPYeyzh/qc9xjxNtSOepFoSNKoRU40BY/VlXjg25IVDk2yasNg0FxPHGlLGaLqyN3aNlG9uCgyp6kEYx2mbQJ45o7anMUICmkzDVCko8Uffp9IcZ4IFMbJniIEkTkOkMpviEW8bIAgF/SFYpo471Bn6BkIaRLGa2NgGrJmQrJvt8twJnxcPl0kSgaGHWKbAdSQVV2ep5XLzJR2++sSA5qLJYJjQ6kK/73Hd+T2+9lSPY2fLTI3p7D5Q5+KNMQ89G3DwFEips20uGTb99W1fbHj/D/4j/70vPPlSNDN9zXcaQi+7/s5U8OL1nn/yvbxpRyt69w9//69eef0/+e03veb1Q+GWeO6gYNezgi1TFudtDHGtGMPo8Ae3mhw+5jLb0JlsaIzXAkregF6Q0GpbNLwkJVHpNCoJ4zWf2ckmL57o8KsfrPPiAZtmRzAYShKg3Qdd6pRMtRAqOarye66yVOj3I4a+MsGPUwKWEAl+lNAZStCkEi6INJ2s4BTLql5abTSDUBDHOo6pglKjZKQY0qXiu3uOkpt1ewkrbY1WV20p+0ODIDSpOiFSUx7mFU9n5/oyv/GjfTava3FsGRZbMSvtkJWWOqestB1qnolrBbT6CYuthPnliJMLFltnLN7zjib9ZEh/GLL7SMTB4xWuu2DAxVtj1sw5jE1e9vVmJ1gbxJXfuu2L9ej8y/9259vf7vV3qoIXr9e94W2cmW8xOR798uTNrxZObd21J166XTzynHvt3OSSfviMxva5hDsfg8deKDPmSGbGJBtnB9QrbQwZ4lgJFUdS97RUSKHRqARM1PrEdPjioy6OdKg66VQDlRj2wa+UGAwNSiWV6VktSeYmJKYV8MDTIRKl+6wEWs7jsM2YQyfh3sdcAl/ieOQGmJmvIaSr+iSNJowU82/g6zSqOq+5qsutj/kM2jaQ0n8NgWNrTDUChOix94iBoZsIocacvYHJeN3gx76ry29+JMkPwc2OgT+s8T3XLrD7sMPZloVjhWlmjsFKx8QwHPyBEljM92LkaY3pMZMta22u3dan2+lw7JRk09yAl45KrrlwKtx9tPrIj77l9bFZ2v7EW9/GYGqi9p2Gyp97/Z0FOMDURCX74y/dccftlBtXl99wU+uPT88feNcgmBdL3SaDvsmV22ClmbB+NuLkSpvnj2rcdIHLqfkAV4exqmSyLlkzGTDVGFAt93nmUMzje8qsLSs+immAISNs02ehZWBLgWsleLZKcF4zGWN7K5x6SGIENo1yjB+qQyKArqs1fbdr4giBY8SpV2IacptGAOaOq1FCEGgMA2VMGUUGVRcsPaSdZXFq6t97dsLUWJ9ELnBwvk5FF1RcQdWT9AcGYWgxUR7i+yFBLAnChG5fsNh0uWqbYOfGLntesnBXgESZz4/XDMqexZrxPuEg4aqLIpbbQ46ckexsauw/7uIaFo7dpTNosHnzWFyb3PbZd+yo/fTBw4vtV91c+07D49u6/k4DvHi99a1v44X9B9uWZf/Lxpkt+w3jyQtOnl16uyn3cXIppjxRYaze5eN3CSYrdbbO9Lj78QAt1pmb0Nm2fsjUWJMk0ZEi4kxT0O3ajM2CZ6cCCSskjHxizaVikW48JSVXo1oOMOwBcWzSD2z8cERQUrrIkGcOSk63bCoOKQc8TXTTNfT0oBgnEIVKNTMIBNZQ0h8atLs2jZLOxVsG3LMYE8WZ2EIZF7lWSD8JaQ4hHsZ0+pEKSx3odPsWSSwxDJ/u0GUwjOkOEhabBpvXuExXhzwfJwSJ4NhySBhrVEsmm9eYvPbyDnd0YduUy8QFZ/n4nRbHzlgk2oCDJxKuumQbUm/ceuXllz4/MzP5PwaDYXtscvt3Gg7f9vX3BuAAO7dsAlh48rlj/+mCy96x/vzePhbn62//4t0vsXNtm2PzPUpWg+svSCiXAuLEYqxismkuplFb4b6nY0p6mSvP99l/LGCqouybS67EtVSQ7WMvCfYfcylbqKQJS+DYCa4dIowANCtVvSsqq0bqEiUDnjpgMb9is2MqwbPAzekDEl1X280kgSBUeaAqnFVimTorHYvNawwu2TzgzkciglimgbOjTErCRJ0BooT+MGYwhN5Q0O2bbFsjuXR7jwOHXPrDmE4vZqUjmV922bGmywsvRVyxzcDyuux6JuLQCZ3zN1oEicdyHx5+TuN1V9WZHm/z+B6X114zxoXjF7Dj/J23XnbZ5n+N3zuiWev/ir/Bv/3r7xXAs+uyC9eSRAtHEOf9/LEj8pOPP73gb9hU+vUvPbRy4ebZIUsdn/GxiA3jCVFFsHPzMrc+EvCNZ+u87lKLxbbk60+X2djQmKyrDahrxwwCn4/c7dHvmsyNJ6kxfGaaH4GMzondVpMSy4joBwFd36HuSGpuonzP3VRSZwqkEKqCxzBMkkL8oERKA8u0aXU9XKOLZfkMAjcPdYXMjFMjDCMGIQSBYv4FoaDdN1lfdfjHr+/ymx+p0xtK2t2IM0uCkwsON10kuOcxKFmS114uKLsr3PGAzrajFgPNwtRjxmo9XjiocfXOCovDCzn/0oseCLD/R2Nyw7MHjoRHtmz4+wdu+HsKcABNjgPsB/bfc9+foiEO/MDbX/+Z/ftf2Pz1R56WrhvQH0q2zPk8ddDngeccxiyDmbEYzx7gmnU2zQo2rvFZaqm+dRgFnF4qs66u+m8/VDIuQ1ex4ZEIV5lvZrmRJSfghSOCJ/Z6jHvQKGnUKzq1soFrqzFfkiihrx+oXj1OQB9oDH1BkugYMqFR8bhiW5ed6wccO+ao2XycmQAJRa+NYuJQCYYTlOdLt6dzcr7KdC3ANIYYegnHjjl8ysezDerVEm0/4vRSTKfrcOMFTY6c7HHojM6muYTZWsSl23Qa0xdFGzddsv/kfPufXnjx1afimJdc62+H1vo3df29BXjxet1rfoJhd/nZMIregGbOXX3l5Z/ds/ueypnlRe/Y/CILzTIlI2F2XGOsGvL5B6BkCDavTSiVV9hz1GPrGskdD+vEQ5OLtuh4pTZ7DgqSxFYJyI5PL1IqZE0jV++bRkJCwJGzGsHQYl1VY6ImmRozGKuoJwNAfyhodrQ0xyZk4KvS7FhqYaNpOtWSy8yEw7qpgKPHI/xQT83lRcqYTfDjBH+o8nEE4Nptdh/ycc1xrrigx3df3+aJ56tMjg05ujBg//EKF2xx+MFXL3LPwy4n5zUMw+HKbYJTS210fYydF8x1r7zp1a2yPXinsM870ZiQR2zj7zews+sfBMABLK9OkiRHbrx27FgYrJzvmK+/5sorwg/s2fti2Fl6ofHUnpVyrRQy8EOOLzqMVyT1qs+zBzSWWw7jtRUWuwZlU2fdlMAtDdhzyMYyE8aqfWyry8qKII7iVFGjVOa2EbPUTrjvCQdCycyYxtS4wcaZmOmxAY4dEkaChRWbgW/gBzELzYj5VkIQgWdFTPZiSExKjsXaKZvXXNbm+X0Rg0AnipSlWxKT3lCSVhix2IZhEBMTcXwhwJGwY5NL1fOZb/k0SpKdmxP2HAhZWDaYrICuJ7x4HJZ7VVaGjfYVl+xYmpvbptum/Kna+KZHZ8ZLTT8ktv6BgBv+ji56/k+vNHovHvaHy1NTa79aq5S33XXX7Ztf/dof+a1XXXf97lYy/XTLrw1mJmqsm0po9/t8Y7fB1tmQB3fDqXmXki2peBGHz5qsdGymxyLagx4fvbPGS4cnWTum5usqUDZlB2qg6zp1TzLVUFmhG9cscWRxieeOt9h7oolttamXA5Y7GoMwYMPGDhs295ie7XDorM+BE4r7sdJ2CAIj914Z+tAfavSGGqcWNC6YNfnR1/t4pSGnlxKqrmB2QtDqqVZlbcPk+ou67Dsuufq8AMfucOCERi+YZOvG8uDyCypPb9pyw+4f+5Ef+a1P33rbZserbJuemv3qoNdZ1jTtHxS44R9QBS9epeo0KNVXb/HsfqSu/46U8nfeeP15cqzmvX/thv62eHDkhoWVvdJzXRrVId/Ym3D+nODIGbCsUFnGVU0maj7HzybsPlhh25oOjhVQsgXjNY1232epKSiVlTdLrSxZMwnrZpZ5ZK/PJ+8uY5oGFXfAO2/wmaytsNz1mJ4IefsNQ0qWhW0HfPyemCdeSBg/K1lqmgyGJlKDekVQ8fosrrh0+jqDoST0BRes02n2hpw+EzG/7HCqmTAIY1q9mEMnHdZP9HnuQEQQlqnXJVZ5S7Ru89qHSpOll6Kw9R4RJ5HrOPz2r//XZOumDb3v9O/rb/L6Bwnw4jU2uQVG5LzQHzR/+rwLrfriwtn/8ie3fMWsV89E520bXGaVJi7XkzMst/rEScTJswkbp2AQhBw7E7FxKsGPI148ajPpSibHAj7/yIBXaQ6z0xLXgKQk2bSmz8N7Yh7f3eCtV0DFS2jU+xw55XJiYchl29toicGn7/MYK3lUPMG123sIMWDfQZvltmDoGxhSY3ZccO3FK3zx6zrEGlvXSKQecfS0xabpJs1lycHjHmvHQp443ePUosahhRI7KuswSjxR8jpP/vBb18jp9d/te+WJ/xAGw+Xpyep3+lfyt3r9gwf4uZdpVwGWgZ8BWDz5GaRMbqpOuG8o2/PvrIzL7abe45EXDvGGy4e8eFzj4Rcs3nZllxNn4cKNMSLyKbugCx0SDakpewinCovtAY89b3PFVolpd+j2HHbtcdFCnaNnNf7NuzocPS2YagQcPWOw2I556iWHa3YELC51WWyWiAyRyzD90KY5UDEgJ1csJhsxJxaHvPXaPktLNruP6bzthnHK9fOYGnNxZ4wXt86WPzu9LrrrVMgDr7/xrcA//07/2L9j1/91AD/3Gpv9foAHQv/UA5rGg2NzYvPy0mJ83u6F+MLzxzd6U2v/fU+coDEZ8eKBs+xcd4wzCxElO2B9o8TsuEarp9EZ6KxvBLx4QuAYFiWvx1P7LC7aDAv7XdZPBBiGigzp9jXmJi2eO6hz4Rafp/YPGAwsNs8NWGxFzEyrRdHR+YTJMyanl/scOxNxaink+kvHkNY0wp7luus2ce/jy+9d6bUOve61N4latSaCWDsAfHVuevI7/aP9O3H9Xw/w7NLNGYCvZv8d+2fQDKvmHjn1yErfJAyC4HU3X/hzphm8fstQY8faLnuOP8+Z1gpHFktEmkmtpui22kTEY/tC9FgyVW8y7pSI44ShHxNFIUM/4NSCw+GzPbatkexc12Tf0TH6iYdjmDRKPjddYtLzfSx7mnd//8VcvEkwDGIc277bkou/1+rqxsTMBVxw6doHkni4smXD/wP0K13/D+Df4hLmFMAK8EWAlcXTaBp7TyxFU0IjHq928bxjHD7ZxA8sdGlg6J1gYvqGX9uxtffWI/ODwLNMmrHPeecZeG5EdTxmdk2f2DJxbYeJuQ5h4Kmg23LF2LLevePL9z32a6ZuGGsnJb1wiG2WufKqC1k/bSBEIhaa7hlN49DFc/8P0N/O9Q9rJvQdvr505y4StKm6c7K61Ownum6x91SMJ1X689nlmJsvGXJm2aDk2JhmhwMnymgiJAhd7VWXTzejJDmzdvO13+lv5R/M9f8Dm87cbl6n1K8AAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTY6NDM6MzYrMDA6MDDIu+FqAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE2OjQzOjM2KzAwOjAwueZZ1gAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 16}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema
Showing the first 100 of 258 matching records in this table.

id: 3893736
{'hecke_orbit_code': 268435462, 'n': 1, 'trace_an': 1}
id: 3893737
{'hecke_orbit_code': 268435462, 'n': 2, 'trace_an': -128}
id: 3893738
{'hecke_orbit_code': 268435462, 'n': 3, 'trace_an': -2187}
id: 3893739
{'hecke_orbit_code': 268435462, 'n': 4, 'trace_an': 16384}
id: 3893740
{'hecke_orbit_code': 268435462, 'n': 5, 'trace_an': -314490}
id: 3893741
{'hecke_orbit_code': 268435462, 'n': 6, 'trace_an': 279936}
id: 3893742
{'hecke_orbit_code': 268435462, 'n': 7, 'trace_an': 2025056}
id: 3893743
{'hecke_orbit_code': 268435462, 'n': 8, 'trace_an': -2097152}
id: 3893744
{'hecke_orbit_code': 268435462, 'n': 9, 'trace_an': 4782969}
id: 3893745
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id: 3893746
{'hecke_orbit_code': 268435462, 'n': 11, 'trace_an': 110255052}
id: 3893747
{'hecke_orbit_code': 268435462, 'n': 12, 'trace_an': -35831808}
id: 3893748
{'hecke_orbit_code': 268435462, 'n': 13, 'trace_an': 56047862}
id: 3893749
{'hecke_orbit_code': 268435462, 'n': 14, 'trace_an': -259207168}
id: 3893750
{'hecke_orbit_code': 268435462, 'n': 15, 'trace_an': 687789630}
id: 3893751
{'hecke_orbit_code': 268435462, 'n': 16, 'trace_an': 268435456}
id: 3893752
{'hecke_orbit_code': 268435462, 'n': 17, 'trace_an': -1930104414}
id: 3893753
{'hecke_orbit_code': 268435462, 'n': 18, 'trace_an': -612220032}
id: 3893754
{'hecke_orbit_code': 268435462, 'n': 19, 'trace_an': 2163188180}
id: 3893755
{'hecke_orbit_code': 268435462, 'n': 20, 'trace_an': -5152604160}
id: 3893756
{'hecke_orbit_code': 268435462, 'n': 21, 'trace_an': -4428797472}
id: 3893757
{'hecke_orbit_code': 268435462, 'n': 22, 'trace_an': -14112646656}
id: 3893758
{'hecke_orbit_code': 268435462, 'n': 23, 'trace_an': 6228974472}
id: 3893759
{'hecke_orbit_code': 268435462, 'n': 24, 'trace_an': 4586471424}
id: 3893760
{'hecke_orbit_code': 268435462, 'n': 25, 'trace_an': 68386381975}
id: 3893761
{'hecke_orbit_code': 268435462, 'n': 26, 'trace_an': -7174126336}
id: 3893762
{'hecke_orbit_code': 268435462, 'n': 27, 'trace_an': -10460353203}
id: 3893763
{'hecke_orbit_code': 268435462, 'n': 28, 'trace_an': 33178517504}
id: 3893764
{'hecke_orbit_code': 268435462, 'n': 29, 'trace_an': 64743719070}
id: 3893765
{'hecke_orbit_code': 268435462, 'n': 30, 'trace_an': -88037072640}
id: 3893766
{'hecke_orbit_code': 268435462, 'n': 31, 'trace_an': -20237611048}
id: 3893767
{'hecke_orbit_code': 268435462, 'n': 32, 'trace_an': -34359738368}
id: 3893768
{'hecke_orbit_code': 268435462, 'n': 33, 'trace_an': -241127798724}
id: 3893769
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id: 3893770
{'hecke_orbit_code': 268435462, 'n': 35, 'trace_an': -636859861440}
id: 3893771
{'hecke_orbit_code': 268435462, 'n': 36, 'trace_an': 78364164096}
id: 3893772
{'hecke_orbit_code': 268435462, 'n': 37, 'trace_an': 488967594446}
id: 3893773
{'hecke_orbit_code': 268435462, 'n': 38, 'trace_an': -276888087040}
id: 3893774
{'hecke_orbit_code': 268435462, 'n': 39, 'trace_an': -122576674194}
id: 3893775
{'hecke_orbit_code': 268435462, 'n': 40, 'trace_an': 659533332480}
id: 3893776
{'hecke_orbit_code': 268435462, 'n': 41, 'trace_an': -772359114198}
id: 3893777
{'hecke_orbit_code': 268435462, 'n': 42, 'trace_an': 566886076416}
id: 3893778
{'hecke_orbit_code': 268435462, 'n': 43, 'trace_an': 1306766329292}
id: 3893779
{'hecke_orbit_code': 268435462, 'n': 44, 'trace_an': 1806418771968}
id: 3893780
{'hecke_orbit_code': 268435462, 'n': 45, 'trace_an': -1504195920810}
id: 3893781
{'hecke_orbit_code': 268435462, 'n': 46, 'trace_an': -797308732416}
id: 3893782
{'hecke_orbit_code': 268435462, 'n': 47, 'trace_an': 3351821491776}
id: 3893783
{'hecke_orbit_code': 268435462, 'n': 48, 'trace_an': -587068342272}
id: 3893784
{'hecke_orbit_code': 268435462, 'n': 49, 'trace_an': -646709706807}
id: 3893785
{'hecke_orbit_code': 268435462, 'n': 50, 'trace_an': -8753456892800}
id: 3893786
{'hecke_orbit_code': 268435462, 'n': 51, 'trace_an': 4221138353418}
id: 3893787
{'hecke_orbit_code': 268435462, 'n': 52, 'trace_an': 918288171008}
id: 3893788
{'hecke_orbit_code': 268435462, 'n': 53, 'trace_an': 9387813393702}
id: 3893789
{'hecke_orbit_code': 268435462, 'n': 54, 'trace_an': 1338925209984}
id: 3893790
{'hecke_orbit_code': 268435462, 'n': 55, 'trace_an': -34674111303480}
id: 3893791
{'hecke_orbit_code': 268435462, 'n': 56, 'trace_an': -4246850240512}
id: 3893792
{'hecke_orbit_code': 268435462, 'n': 57, 'trace_an': -4730892549660}
id: 3893793
{'hecke_orbit_code': 268435462, 'n': 58, 'trace_an': -8287196040960}
id: 3893794
{'hecke_orbit_code': 268435462, 'n': 59, 'trace_an': 28930359275340}
id: 3893795
{'hecke_orbit_code': 268435462, 'n': 60, 'trace_an': 11268745297920}
id: 3893796
{'hecke_orbit_code': 268435462, 'n': 61, 'trace_an': 42393077399702}
id: 3893797
{'hecke_orbit_code': 268435462, 'n': 62, 'trace_an': 2590414214144}
id: 3893798
{'hecke_orbit_code': 268435462, 'n': 63, 'trace_an': 9685780071264}
id: 3893799
{'hecke_orbit_code': 268435462, 'n': 64, 'trace_an': 4398046511104}
id: 3893800
{'hecke_orbit_code': 268435462, 'n': 65, 'trace_an': -17626492120380}
id: 3893801
{'hecke_orbit_code': 268435462, 'n': 66, 'trace_an': 30864358236672}
id: 3893802
{'hecke_orbit_code': 268435462, 'n': 67, 'trace_an': -52247243064364}
id: 3893803
{'hecke_orbit_code': 268435462, 'n': 68, 'trace_an': -31622830718976}
id: 3893804
{'hecke_orbit_code': 268435462, 'n': 69, 'trace_an': -13622767170264}
id: 3893805
{'hecke_orbit_code': 268435462, 'n': 70, 'trace_an': 81518062264320}
id: 3893806
{'hecke_orbit_code': 268435462, 'n': 71, 'trace_an': -27194529024648}
id: 3893807
{'hecke_orbit_code': 268435462, 'n': 72, 'trace_an': -10030613004288}
id: 3893808
{'hecke_orbit_code': 268435462, 'n': 73, 'trace_an': -91604195687878}
id: 3893809
{'hecke_orbit_code': 268435462, 'n': 74, 'trace_an': -62587852089088}
id: 3893810
{'hecke_orbit_code': 268435462, 'n': 75, 'trace_an': -149561017379325}
id: 3893811
{'hecke_orbit_code': 268435462, 'n': 76, 'trace_an': 35441675141120}
id: 3893812
{'hecke_orbit_code': 268435462, 'n': 77, 'trace_an': 223272654582912}
id: 3893813
{'hecke_orbit_code': 268435462, 'n': 78, 'trace_an': 15689814296832}
id: 3893814
{'hecke_orbit_code': 268435462, 'n': 79, 'trace_an': 62882111078120}
id: 3893815
{'hecke_orbit_code': 268435462, 'n': 80, 'trace_an': -84420266557440}
id: 3893816
{'hecke_orbit_code': 268435462, 'n': 81, 'trace_an': 22876792454961}
id: 3893817
{'hecke_orbit_code': 268435462, 'n': 82, 'trace_an': 98861966617344}
id: 3893818
{'hecke_orbit_code': 268435462, 'n': 83, 'trace_an': -223567315949868}
id: 3893819
{'hecke_orbit_code': 268435462, 'n': 84, 'trace_an': -72561417781248}
id: 3893820
{'hecke_orbit_code': 268435462, 'n': 85, 'trace_an': 606998537158860}
id: 3893821
{'hecke_orbit_code': 268435462, 'n': 86, 'trace_an': -167266090149376}
id: 3893822
{'hecke_orbit_code': 268435462, 'n': 87, 'trace_an': -141594513606090}
id: 3893823
{'hecke_orbit_code': 268435462, 'n': 88, 'trace_an': -231221602811904}
id: 3893824
{'hecke_orbit_code': 268435462, 'n': 89, 'trace_an': 554198786115210}
id: 3893825
{'hecke_orbit_code': 268435462, 'n': 90, 'trace_an': 192537077863680}
id: 3893826
{'hecke_orbit_code': 268435462, 'n': 91, 'trace_an': 113500059230272}
id: 3893827
{'hecke_orbit_code': 268435462, 'n': 92, 'trace_an': 102055517749248}
id: 3893828
{'hecke_orbit_code': 268435462, 'n': 93, 'trace_an': 44259655361976}
id: 3893829
{'hecke_orbit_code': 268435462, 'n': 94, 'trace_an': -429033150947328}
id: 3893830
{'hecke_orbit_code': 268435462, 'n': 95, 'trace_an': -680301050728200}
id: 3893831
{'hecke_orbit_code': 268435462, 'n': 96, 'trace_an': 75144747810816}
id: 3893832
{'hecke_orbit_code': 268435462, 'n': 97, 'trace_an': -1388870476877374}
id: 3893833
{'hecke_orbit_code': 268435462, 'n': 98, 'trace_an': 82778842471296}
id: 3893834
{'hecke_orbit_code': 268435462, 'n': 99, 'trace_an': 527346495809388}
id: 3893835
{'hecke_orbit_code': 268435462, 'n': 100, 'trace_an': 1120442482278400}

Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$ over number fields
Genus 2 curves
Higher genus families
Abelian varieties over $\F_{q}$
Belyi maps

Introduction

L-functions

Modular forms

Varieties

Fields

Representations

Groups

Database

This project is supported by grants from the US National Science Foundation, the UK Engineering and Physical Sciences Research Council, and the Simons Foundation.