Return-Path: <renata@bewonderful.com.br>
Delivered-To: estudio@bewonderful.com.br
Received: from cloud.mkt.tools
	by cloud.mkt.tools with LMTP
	id HTGsC1lP+mncPAMAaNiWHg
	(envelope-from <renata@bewonderful.com.br>)
	for <estudio@bewonderful.com.br>; Tue, 05 May 2026 17:13:13 -0300
Return-path: <renata@bewonderful.com.br>
Envelope-to: estudio@bewonderful.com.br
Delivery-date: Tue, 05 May 2026 17:13:13 -0300
Received: from mkt by cloud.mkt.tools with local (Exim 4.99.2)
	(envelope-from <renata@bewonderful.com.br>)
	id 1wKM8m-00000000tCG-3JL3
	for estudio@bewonderful.com.br;
	Tue, 05 May 2026 17:13:12 -0300
To: estudio@bewonderful.com.br
Subject: =?iso-8859-1?Q?Fwd:_Re:_iN_|_Guia_de_Bolso_C=E2ncer_de_Mama_?=
 =?iso-8859-1?Q?-_Movimento?=
X-PHP-Script: www.mkt.tools/message/qr_message.php for 177.46.141.32
 X-PHP-Originating-Script: 1001:PHPMailer.php
Date: Tue, 5 May 2026 17:13:12 -0300
From: renata@bewonderful.com.br
Message-ID: <bHWFssrnRxQntGHyEvn4JyvVmrO5ThK4IBIxnLa0J2o@www.mkt.tools>
X-Priority: 3
X-Mailer: PHPMailer 6.9.3 (https://github.com/PHPMailer/PHPMailer)
MIME-Version: 1.0
Content-Type: multipart/alternative;
 boundary="b1=_bHWFssrnRxQntGHyEvn4JyvVmrO5ThK4IBIxnLa0J2o"
Content-Transfer-Encoding: 8bit


--b1=_bHWFssrnRxQntGHyEvn4JyvVmrO5ThK4IBIxnLa0J2o
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit

Para o Guia de Cuidado com a Saúde das Mamas, o código de barras a ser aplicado será esse abaixo:7909883518561Te aguardo para fecharmos o arquivo e com isso, ter a VF para o fornecedor fazer a impressão.







--b1=_bHWFssrnRxQntGHyEvn4JyvVmrO5ThK4IBIxnLa0J2o
Content-Type: text/html; charset=iso-8859-1
Content-Transfer-Encoding: quoted-printable

<html><head></head><body><div dir=3D"ltr"><div>Para o Guia de Cuidado com a=
 Sa=FAde das Mamas, o c=F3digo de barras a ser aplicado ser=E1 esse abaixo:=
</div><div><br></div><div><font style=3D"background-color:rgb(180,167,214)"=
 color=3D"#9900ff"><b>7909883518561<br></b></font></div><div><img src=3D"da=
ta:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABEkAAACQCAYAAAD0mzW5AAAAAXNSR0I=
Ars4c6QAAAARnQU1BAACx
jwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAGCFSURBVHhe7Z0LfBbFuf9/nuNp8YqXYpBbuAc=
Q
jeIFq4VYFBDNASmIUJEqKOChoB7+gApSiiACH04ViwIKasSCCEU4IApCDWhbrCLRFBK5SLjJpdY=
i
VqnH1v88M7O7s/vum7y5QYK/L5+X7M7uzs48Mzs7zzPPzJ4Ey7cKu0kIIYQQQgghhBDynePf7F9=
C
CCGEEEIIIYSQ7zQ0khBCCCGEEEIIIYQoaCQhhBBCCCGEEEIIUdBIQgghhBBCCCGEEKKgkYQQQgg=
h
hBBCCCFEUeav29w0fq3+u2ZqN/2XEEIIIYQQQgghx5YjR47YLVIR0JOEEEIIIYQQQgghREEjCSG=
E
EEIIIYQQQoiCRhJCCCGEEEIIIYQQBY0khBBCCCGEEEIIIQoaSQghhBBCCCGEEEIUNJIQQgghhBB=
C
CCGEKKqUkST9nuXY9tkRHDlyCGvG2UBCCCGEEEIIIYSQY0DVMZJ0mYHFY7KQdvJRFM4fgv40khB=
C
CCGEEEIIIeQYUkWMJL3w4q/6IaPGURTO64vLBi5EkT1CCCHk+DBixR4cOXIERzbMsCGEEEIIIYS=
c
2FQRI8lC3NriDJxxRi1cdvfrNowQQkrPjA0yZe8Iti0eaENI2ZiIblfV1FtFhQv1X0IIIYQQQk5=
0
KslIko5ekxbh3Z2HzCik/A7twbbcORjYxp6iycTA2W9h2x7nPPU7tPNdLH9ioDrqMOEtHHLO8c/=
d
vwfvrpgRiTdQlI4UvIheNswjc/AMLN+wDXsOOXF9dgh7Ct7Ci2N6qdS7xORF/Q7t2Ya3fjMWvRr=
b
0yyZg+fgrQI7+io/le93F09EZ3s8Oeo+Y17Emj/vwSG9Lot3vUrXe8sxY7CVxuDl2KOPHcJbE0x=
Q
wEAs2mav2zDND1u+04Qdyp1owxw6zEG+dy+Jc1I495rGvTBx8bsheYms5twZc64lTv4TcwMZHsq=
b
g3423DARb+n43XzFyF7kPnugOhLkq7jfW5NUNE+8a/e34cU+SiJLnfJJ9ntbyao0svbvUcxv2yJ=
f
Fuk3T8Si96JlLc/Iixh7c3K5atxn4VA+5vS14RZPznHlnTU337nfW5ho62+lyETTCy8W2DD3J8/=
b
e4swMUleR6xyylzJLVxXSuBk86dGjRpmo0Ri2iH73Jrnu7hnqIRri5WXR+namFi8Z9TWpz1LIwa=
i
PouwzYnb/SWc6zEpC5lalkXY8FyuDkKbgZiTG2479xSswbRIOUr9Xq7aMv8+Sib5K8LtYMIzoOv=
E
ixgRactj5SPx/WaYPU4IIYQQQkjFUQlGks6Y9vbbmPPzzsg411FSatREWpteGPuw7dg2Hobl297=
C
tD6ZSKsZVmZqnJuBrNunYcXb04JOtYorTuWpcVpNZLTvh2mvb8Oie5yOulWUcHpN1Lab0tketnA=
b
3pjaD1mt0hC67ck1ULNuJrqOGomRNkjyMmPDu4l5UdSomYbM/xyBGa8uwjCrxMjCsyum9kJmXTP=
6
qlH5zuj0Mwz9ud2PxcpsVFdc0aAmanhpF5SiV7N5FvrdP1Gpagr/mJLHuXbTR4V5yVT5Mai/ntJ=
4
+llmwyHr9rZKKh41kNl+mLMvKBm8PAPDOmWE5CWy6nV3IKkEYuR/1ulBBDUad8XACe6dzrJpD/L=
V
+anFmBGVvci9z0CnjFLAkVnNBJkVQ6llnRqdn3oX784dhs7No2Utz0hXjHhyTbguR3GfhRrp6Hr=
X
xFCZeXJOLO8sDGzrnFkjE1l3F3OfOEotk9qoebrddJHnrXlnDHtSlXEHG+YzFtdf5Mg07WJ0jRi=
C
KgzVDi0qeCOxHdLP7TCMHKF3/HyHZJrKtcXKSyhdGxNH5wnLkb9hjnlGvftF62SS9jM56ZjW3hp=
m
d2xAzlrZGIE1r05DrzbhtrNm3Ssw8MkXfYObXl/qyWHIUm2Zj5JJumpb5q0da+pqhzlYEX0GdJ3=
o
irELXaOYarOXrol9n6RnZNgdQgghhBBCKo4KN5J0zpmGgReZzvHRvbmYffePcMYZZ+BHd0/Fss2=
H
cfSbo+pIOsY+8xCy0vRZOLBuNoZkyXSb1sgeOhvvHJBw1fm+qB8eSvBsOIzcB+TcM9D6xiGYuqp=
I
xaCokYbOD8xV3fjkZD2xGA91STPKwuFCLBzXEz9S8ej79huPnHWFOPyNPlUjeenXynTMD29eiNE=
3
tjZ56TUey3bou6JGXaXoPWq69CN/mgWd87/nYXZ/OVfFO2YhCg+bc5MxbOmcQGa7lMyGZqO1Tte=
P
0HOEktvGA0pu+nAF0wtDrzLyzftTnv6Li7Iw0lXIBg9Ft+ZGBgdWDTfyyhqC2euU3MuYpqN/F3n=
U
UArgWKW2J2MghnbJMGW193UM1/XjRxgyMxdFWpyzkd3Q1AP5jV53WAIVhcixYbqsHrDBDrO71fO=
P
n/FArqpRhsJ5wXVnXD3ahqbI0MuCa8/IUakwHF43Oghv2hMLu7yIaX1tvqQOjrFlndUT4//Xqct=
D
Vd2T7eJQctSSbNMNYxMMDTH0GYq2DdTfb/LwzgcmKLPDSK20VopMonyUY+LJzMZolVdNDTGIRmr=
B
pE644jT198A7ti1Iw5V9KsNrwLRDnetGn3F5bnPwzi4l3aR1vDzXBpS2jYmja8cspP+jEMsmL0t=
h
Lafw8yG/et1m22MOjYehbSuzWfReDowfySnq4T2Ad54bjexM1f72V22bSaJKZCY632c2R9zXCxm=
S
pW+KsFDawcwBWPiRzcvlvWxdVSeo+r9s2hDdpvxoQlDnkHYleg22232nYVgHeVG47wkjn6kLl5l=
z
CCGEEEIIqUAq2EgyDEM7WKPG39/BEzdkY/g8o3znzRuPW9vWQ1PpkHcYi16XG8UAH+Tg2huHI2e=
j
7BQh97nhuHao19lXinQno8TFUbQuB+N7tEbfJVY1OO0KdJua7OwRGHuzp5zmYnT7yzBg2uswqVP=
3
XTIVQ268DPXOvgxDdNgIjOxk4zrwOh5sOwDT15n75K2cilu7P4F3/q53kXZVL5VzhTci+sV+5L0=
s
56p4Hx+Ay+o1RfavzaEEOszBwA52xHXHQvS9QMnsuVyb/zy8PlPJLaspajXNRowqUz769sLFon8=
o
pXnD/8uzir1SWsc4Sqs/Eg7s32HltTEHw5UyV6utkVRp+cd7ucgTBbJxV4wdZcISUSXl3fvTIry=
u
60ceckZko3Utr4yqHyPu62Tr8wG8fr+qg4/bst74Oqb+9EY88SerdYqiWKz3keKbDcjVxo50dL2=
/
OPOgoV/Pi6Htkps34L8/sGac5lmpGVgqkh25mP7TXN+QdFZN1yMg8GA4kPc8lhYa1bnmpd2KNYC=
W
icYj0dVrh3YtwwD/GZfndgiuvaAWLhtqDidQnmt9ytDGxDDl7h+hdb3LcOuEvxkjWwWQfndbO9W=
m
ELkT7FQbjMe1DZuq9nk6cneonL48AMs+dO6ozx+GLGv0Ofr+QgyQdlC1awOWfGDTlo6MjurP2lt=
N
msfl6DYlb/JU5O7SJxjssz+sz5Wmzu5ahQH+e8LIZ/xkrl9FCCGEEEIqnoo1kvRpjxZW3z+6ORf=
j
VUc6lo4ZvuGjcONwaxBwWDkbeV6HOS0d3exmMl7vt9Qo3YqGrZKcPTgLGTI6rShaNRXTk6XNo09=
b
pNvzD/95FXLMZsCO8cjdbBWEmg2R2RjY+amn4HbGjD3v4sVx/cLrqsTRPdPK4ije+c0AHMtuf7/=
u
gdI8feMUbPhIByP90n6Bh8fmA/ib3cwc/C7yV83AsPZe6ZWVdZi9VlwEauCKrtP8uhAmDwc+tZs=
X
DcS7f16DGfdkJTm3utALbRtbxfrTAqyaZzYDijB+radM1kTDi0rO7bqnXoeW5OXdMK2YKRmqtNE=
1
U5c28n4/HXlTN1gjRTra9k3uz1MpNM7C2KWdYUwjR1H4e8f853swHMCmJTmYvnKT8TA47SJcn9S=
g
VkbuyrRpUJJ/b3bpnr3yXOtRhjYmjqKNeYltaFIy0M9b1+OzPdi2alrMmifpGNnBtlwfbcCUpG2=
l
alPTbH1WpbT/z/I3A7XtO+DAtufNhvCbnbqeCmedG1evs1Dbn460H0Wvyt90ZNazHnZqe5qzJom=
s
W1XcmkiEEEIIIYSUlYo1kjjz3kMd5ChnOR1rbzg5RC7+ZnUD1KztKyPJUYq8HXGtWTvJ2Zm1zVQ=
Y
dc+dG+3IqL+oovPbv8aMWDt52b8v3ofjb1/9w26dhbQbgKmPPoF3PMW+Zga6Dp+Bt/bnY/mk6GK=
w
AcMaeyt2FKFgst2MWwQ0b04xU1PKwjD0ahsozUXq38I8q2o1bot+nnfB2gGY8rKdBqIkkv7Dfpi=
4
Ih97NkQX4S0dOSOsYesipdzHrjeRiwFTF9qpNerODa5AP1l7QZQjbxHbakftYM2OT4viPYP+9hX=
8
WlW3JPOgYt5wLBVvkpMz0W1qMRN0ft4LV0pxi9fQU2Z0P88qvyGjWGXSvJ+ty8sxQk+hUE/u2of=
R
36v3ivQRdrHQA5uwTIxIv85FoX62a+CiayvYl8Rph3a+53lLpEh5rvUoQxtTZuKm/pxcE2k/HIg=
Z
82eEy7/xSLRtbjbz1k5JaoBJv2cEsmT6lrArF0+It9zgdH8NoqP/dK7cYaaGCXH1uvPsXmaKleL=
o
n5ZZw0w3pFnDSY0GmaE1SWTdql6T4tazIYQQQgghpHxUwsKt1ZzTaqKh3SwVooSsHY9rOwzA1P9=
1
1jY5LR1ZP5+BxU+V/H2bYjk3rWSvlNIwqhvaitXIU5oVufO8Eel0tHXWicjp3xrXjbDrLFhqtuq=
F
ab9dXuyCksWyY7j1JklD1t3hhUd95g1A687DkfMHZ/0TUY6mrsDy4hY2PVHQ6/eURBGGW2+StPY=
D
g8UzI4zo2tYYCcVrSCuguchxjGIDj4OyefhP0zGkmxjoPLIw9ipj5DyQt8x6Vkz1vSlqXHQ9xuq=
t
7yhxho5UmTkEt95o1ocyaz8F64nUaNUZQ/uYbUGm2+lScNqGBNqMwIz77BpMRwuR8/9uNd403hS=
5
UpB+8xxM7G6f509z8fCd4xMNM4fz7PpWrTFgfqExuNTIQNvu+ighhBBCCCEVRqUZSVIaBVdd7LP=
q
2s0QvZBm3D5Up3m/WQejOBoHLt6H411TgIL9sKsboPYFtkM+Mxv17OKFwcKfiZx1bvQjwoa0s7x=
E
7kfRTLu5YyHG/1TWNvkRhj+XZ+9ZAxldhpqv00RYutebzFIb6d4aFM4ioDl2CkxFM+Lai8wo9sm=
Z
GJhnvVWWdvWNFemXDgyNLucpJUvWWWjdfypetwtK4tws9LOLNZaFnBEvIU9FVeOiYhYe3TgbQzq=
1
Rq1LBwSL9KoyzPppqb5vU/WomeZ/DjhE3bOM4qnYvyvFVWjmDcdLH4ggM9HNXU/GZ0TwtZiLBvq=
f
fF7uKaaq1DOji6dWBnrhVvVc2EVba14+DNNyHONhh35oa408aZ1m+F5UI7y1P067SCnwZrNiqYm=
G
XptQaspzbUCp2pgyUYTcdV5LqrafG4DhKz1ThPvlHfVMX2rz4xvUIjQehuW/HYssfc1h5E7ogSE=
r
9RHg10UqpYYa/x4vl/27ptsthf4Sjl3oVYwtd2fH3/NAnl3fqggLB27wjSi1VVoIIYQQQgipSCr=
W
SPLrPOy0o52y0OLYZF4G64L56Rlt7SchXbwFRRVHP8otccHSzuPsyKdi5wdOB9zl8SBtGapjXqI=
H
hJOXtAu6BZ8i9mg8DVn26w/YkYeFdjMgD7OH/ghTPOPLubVjPUGKfldgZVETbe+YkXifKJ86buv=
n
RaZXpGIs0jhKczIatA2NLnsUvTwePbsHX9Go3SDO9JMiO0Zj9u8k9+nIGmILPBlifOpxI5Z5ClR=
a
eqzRqUKpEFm7TIfnvIG0FujWxW77OJ9dVRLOW2I3S6QIo5/K1fUovf1QpEU9DkZdj4vsVIZkpF8=
1
NN5oE6XcMlHPxU+n4HXbAKR3GukvyJrV1/0cdRw1cEWXiXa7AnDaofSrHyn52XMpz7Ue5W5jyke=
a
P/fLwTFU5a2LWS9KDCSrJvoGknceH4Dsx92z/uZ7faU1/ZnZEMa0sGV7FIf36g1tIHk3p581kBR=
h
2QOOsUWTh8Oe7brGWbFTwv72aYkmdEIIIYQQQkpFBXuSjMZS7+scp12BoUtexIguRunL7DICc3K=
3
4dCGGcD8ZdhkNYwalw/Fit+MQGe9voVSlu+Zg3cf7WwWFFVqSG7OVL0VR3r7fhi7OB/zHFfthTG=
f
fDUohXy1vem5WXjo1TWYMbyzMVw0zkL66d/XhwJmB4smNuiKOWunoZ9dsDSz7zQsf7Wf/frDUeS=
9
Oh65GIs1e/bg3cXh83plWq3xwE77Gc0I860XgKJG836Ys+FFjL3dLlDaph/Sosrt/A0o8r540X4=
s
lk81i8Omtx+GF5f0ssaioyhcl8RYJIzxlOYDeH2g8VjxfwPN1A0VOy7u2Q9ZOfk4tO0tzHFkNWx=
C
oMzu3Jyit0MScu433iRpV7dADdeZp8OLyD+0DW/NduvGI+YTtsJepWzbzUqjImQdYfa6PGtkSEf=
X
p9ZgmlPW01asQb+L9EEc/WApxq812ynheZOkZaFFSJDA2M7Wa+jA6xjglrX6DVhpn4m0i9Erdm2=
Y
CBUikxw8Yb/iEnyRKgsD29pa9cH0UBrlN91+shitskpYoLYUzH9Cf6VFE3rGVV27fRoW5e3BtqV=
J
THHludantG1M2ZmYuwf5K1T8/rOk2pkfe5boncizX9/Kut0+239/B6sS2tLOmPGy9+l2YyC5dkx=
0
ydrZ/lo3NS5UebpZxda4F+Z0t3Xw7x/gtQnqrxhbnnINJDfi1meiJplcbNhp63KDLIwdJTUtEyN=
W
dLP17AAKVpVHKoQQQgghhCTyb/ZvhTF18MPI9Qwg8onXhW9pl/m3Fo5FrzZpqPGNTC/JQc9x3qK=
c
NZD+n2OxKFdc6/OxfIJStLRdQSla84agZ8IXQGoia5Jxw89fMQMjOqWbzrfnqq3PiSen1xDM/sB=
0
umvUvQL9xi3CW+LSn7ccA9voWByKMPqhYCHWmpcPxIwV+SYvTw1EVl1zviw8eesD0rn/Pr5/Wk1=
k
dAqfZ2wkh5H7xPAkI8HqPrc9jNf3GmWpZquuGPHEcjMlIncGOnvTkb4RiQhTMf5lb05+GrIGz9B=
5
yF8xEV3tl1OObl6IKc5imFEmdrnCKs2bsGy+DgpwDFhpmV3Rs0YNdZtM9HJkNfE/jSJ39KMcPJz=
U
KJUi4k2yTt3wtHSkW3uSJu37qKHyl9nHrRtdkS5Ko5T1hNHmvEql/LKOUvTAaDzxB6v4nXsFBjp=
l
PbC9ej4k/EAuHr5tdOIofrF43iTqeWrsCnIiOl1i62resoQ6uHDZpsAo1r2YhV99KkYmuRNe979=
I
ldlpLLL6DPUNYHnu124ss39vPQZOzkTbu039Kz+5GHB/jr82R/CMq7r2xEB0Fjn+w5sOF6X012b=
0
lXoc/PJzGpayjYln4ttenP18j7qa7SeasPdmmICTayK9vYrffZZ09KqdXfQwzNPUC0Ovss+2fJ1=
M
bzkMHopuzU2a1B1wxT2L7H3tb6dqR1U9nJKTa6YZ1shAr7kqP3lz0Etfp+61ZIqqQYr7+llvFEW=
N
dHT9lcm3/xNjumL6r73Poav7jZF3yVsY297U78PrpmN4wvuBEEIIIYSQ8lHhRhLsmI7sTgMwfVU=
h
DlsFQnP0MA5sXIjhQ61yaxflXLjxQPi8b47i8Ee5yBlxHS672xmldNz8XY4ePoDCVbMxpPNlYVd=
t
q4Dhi8P+HHngdQy/+moMmLwMeXsPB4uBCkfVfXe9g2WTp2CKDfIWYtV5+btzd0nj3jx17gBc6y8=
8
ORoPPxqJ1+Zl9n1XR1zSIyiZ9WxxHYY/l4tCyaeTrqN/V3JTCkvOo6N9z4ncoZfhuhELE/Igssi=
b
PxzXtR3ifJJUpduec/QLUdqGIdPqmIf/vC7xs6MqZN2frRKfdjHOWTUFs9dFylLu87/j0fdS9z4=
R
vHS58vfSoWTtkjNium9YUyohdr6t/qh8THnGyMPnG6lDyzC+X6SsFX6c6h7h2BW+jFR5eF8f8lB=
l
5J+fcGFpZe2hIkqSV1Gux3dSdfDXryeWtZbrVAzolGRdBg/vGhV3KPZ5wzFdL4ZrOLB9A/DzTDT=
U
3giHUfC7xNLGvHUosDJJu6AzuspGhcrEkYWuf5YdwwOvs8aZ6NW+ofEe+6YQeTGLhRY9lYdCG0/=
G
FRU40WrlEFwW1w6p9qpw1XQ8eL+YlZLkIZVrP1UyssGxlKqNKQM23aNvU/dYVxSk08a/0G1n+3j=
T
HI/ig9cTTCSKSH1LQtHj2RjwuKnfPqpuvPPMEPTw7uXUm2JZeStuvG9hOC6Rr6pnN95YDrkQQgg=
h
hBCShJPsX3yrsJspcZOdC7BmaioLtBJCyLFhxntH0K+5eBqMRj2lSJPU6Ld4G2Z0StNTbcbXvtZ=
4
fBBCCCGEkCqPeOKSiqPiPUkIIYRUM/qha6ZZo+ToB6/RQEIIIYQQQr6z0EhCCDmx8KbGJEx1Ikn=
5
z85oYRdk3bCMJhJCCCGEEPLdhdNtCCGEEEIIIYSQagqn21Qs9CQhhBBCCCGEEEIIUWhPkmU/GDC=
6
xQM3TdAhKfKb35nPb2x/60X9l5QOcdt55ZvNZocQQgghhBBCCCkD9CSpWIyRpNad/1Ib/tQbUvm=
I
keSnXy0wO4QQQgghhBBCSBmgkaRi4XQbQgghhBBCCCGEEAWNJIQQQgghhBBCCCGK2Ok2ze67Ue0=
V
P/tm4fqddoukwknffouL3/2z3QO+VfKdM6S33SOEEEIIIYQQQsrGK2M72C1SXmKNJNkHZpdoJPE=
+
AUxSQ4wkA2YEa5DQSEIIIYQQQgghpCKgkaTiKLeRJG/LQv2XFI9Ic/qaf5odhSzcOuzafzc7pML=
I
bNlL/2W9TA5lRMixh89d+aD8EqmKMqlO5eSlNePsX+i/hBBSXSn87Jf6L40kFQfXJCGEEEIIIYQ=
Q
QghR0EhCCCGEEEIIIYQQoqCRhBBCCCGEEEIIIURBIwkhhBBCCInQES/OmYmP54/Do7gNq6fdZsM=
J
IYSQExsaSQghhBBCqj3WqBEyZtyG1fNnYvUgu1sabmiN1n97G43eBG6ZfzXw0Qv2ACGEEHJiQyM=
J
IYQQQki1ZzXe/PhLoE4TPGpDMKgJmmI/3ptl90vDq79C5vAXgFnj0KjPYHQsSxyEEEJINYRGEkI=
I
IYSQE4CnN+7G56iNS63nyKPNawP7tuN+61Hysf79D168QR0cNA4fzxmH1eJ9Muc+3CX73jnijeL=
u
q1+ZvFFINaI3bvvZGkweuh7jbrkPF9fsjYEDV2LgxfYwOQ6wTAg5XtBIQgghhBByIvBqPvK/BJo=
2
lyk3t+HSOsC2j17Ao9OuRtN9b2uPkEf+DFzV4z7cJeefWht4ZzAaDfgVmjSvjc//vFif08jxIJH=
f
S/u8OMkJS7tOaH3m9/TmKef9BH36DUGT76udb3UQOR6wTAg5btBIQgghhBByQuBMufGn2nRE/bP=
U
oTpXa4+QBy841ZyqCabi3L+mELighz4nb0xH4Ib7kGe9SG6po0446wfGsEJOTL6vlPEvcvHsS0+=
j
4POvddA3n76JdXl6kxwPWCaEHDdoJCGEEEIIOUHwptzcco031WY1dv9NHbCeJPo34Fd42pweIGu=
Q
qGOP/PlLnNmoNZZcm4Ez7TXiSUJOcN7oi1HPjkHBwRw8+/y1GPVEO4z+zWQU2MPkOMAyIeS4cZL=
8
t6zWnf9SG3pbyD4wW+35u7HcNH6t/pu3ZaH+mxoyJ/Zq4M3v3gJgIs3pa/5pdhTiKTfs2n83O8X=
y
3ZVZWchs2Uv/Zb1MTtlkVMnI3HfVoRdX71/jalyzcRxufdUeI+QEoEo+d+VFPA1uywDUc5s5YbU=
N
rBxOSPmVk+Qyka/c9MBVpwLb/Peaec811ccVYvz4qIlqd4GX+ozD/c41grTFmYeu1u2y3v/yS5y=
J
3XgkzrjiUJ3KyUtrxtm/0H8NP8EdA+5DC9fZ5l9f46vPcvH6G+Pxh4Nqv8M8TL4g3Rzz+OcXOLj=
1
acxf/Vv49iSZHvHjnyHj3HNwitfd+8dfse/j5/Gyc97FNyxFnybnmJ3/y8e6+XdjxWGzq2k0CsO=
7
ZOM8HcfXKPrjtXjyT/pIyvcQ6mSOxc1tfog6p59uAux5L6jz/mpCgPpjMeqmjtCp+fIPWDRnJLx=
b
eXjxnHfq6TjZDrV+9cVWFG6chPl5W01AlCQyO/LpH7Dmd1auQtx5iq/2zMC4JQvsXiIdeqxB5zo=
y
LeVr7NvUF4+v/8QcEK5RcV4YjvObf3yCoi1PY9H61SrvP8HAO+9Dk1O+wPZ1XTA75KWhZD9UyR5=
F
+NMTfbHIhvpy/4GSu8jgXyovf1F5eU3lxSu7UsjyuJQJOaEo/OyX+u8rYzvov6T8VLwnieOeab6=
t
H3DXmEv0nNhERTT4bN1dY/4n4brSYK737m/iNHjf+7cLlmm8hcyCMH29LGBmdo8Nx1lmweJs4Tg=
e
nWbT5HxO0AvTC7iF0u39lCwnhBd7M/L0ZB38zCJwJly79lpC99AEeS0zx1XGiXk06SlJVnH1MlG=
O
oXhj63kKRBboK/X1JRIjA4dHm5+J37+wGPmNeuDBRofxJg0k5LtCTNuk28Ak76HU31FeWxD8kj1=
/
Gj8dqT77Kv4eGTj45ts4eEGXUrYXxbcHqZHYFspv9cMmH+VaZLQU78TyUtK7JfXydlmNWwcYj5H=
g
vfYCOnpeJPLz1xwRA4kQXCM/bfRy1iTJHPDf8d4nqZCkbpm8q/BS568y+R7+Izp+9W/fwynndsR=
N
/zkFl+t9HRrm30/HeS3uw22d25j9+kNwz0334eLzHOOF8P1zUEedN+SWIUbpVZwpUyo8/qM1Wl9=
p
47C0v/gaayARVFpq2s1S3OOcNo9jYPuOgTIu6PN+AlelujjzUnPNv9Tv1AtxSWSB0Cbt5vrxeMq=
4
cMrpzXBx+5m4p935NiRCEpmdcZ6Sa8956NnIhpVJKxmCC2srGUqalXzqpPfz86052f51OPn756P=
J
xffjNp1eda133+LHhw2yeGpXK3fvun8zeblKVxBDSbI87mVCCCmWMjVHyVGdFjuqpF+sLxzGpU4=
n
6OkJ6iUrL+Zi0Of4L+2ysh8v2Re7fz/53v+p+7Ft36lo3SbcMfv8S+Cqa4/XgmTHX2Z31TpT/f+=
l
kkNtdPHvLQu+SZjd1Ziwbfu+NAu4WdfcRi8U4nN1VEasGvX5b9y6W879Uim9tgycjpW3KJxeBO6=
K
uI5R5B4VwvGW8Qt4T+VX3Je9/N7Vpj7O/HI33ixOVsXUS39xPSV7mUPuKxvF1POSCdKhF/a7rSI=
N
JaaDnmy0+f7hqt68ajvpZe2IE1LtiG+b7h9egc+BnS6hp1BccHVyZVy3SYV4RNrwlIyU5nntOEu=
e
7VSv8Si+PUgNT+l/G9vUntcmdnzIvJcSjd6pk/o7MRFtSCmFEaVi+jxVnPo1caaW56nOO60jrml=
0
qgorQaDHjS+wfX07jHqiF+YXWK+EU+sg5I/w2XI9/WHUS5OxyXoPnHOuqS8drvgJ6sgCm//8Kwr=
+
dA8m2/P+sP8Lffzk8zqhW0u96fPN/5k1J85Jy0YTvSX0Q+s0UaI/wV+lo+WQ+j36ofcVbXCKbH6=
V
jz+80V/na/bbq3HwHxLo0RGXpCl1/F9bseljyfPpSG/SzxzS9EPnC5rpeL754g9Yu6SXzv/jb/w=
W
RV/J8e+hTvP7jCEpGZ7Mcu7BoryNOCIO1v+ejsvb3hc2bHjn2V9xXiRodynqKG3myO7VKPo/tX/=
2
pehc3xwK4ZfX0yjS+f4ezv5Blj5UGjpcdxeaaGF+gaK8yXhcxTl5yQxs+tTI3VCyLKtMmRBCYql=
Q
I4kekcd+rPQ6PkqJ7qi3wyNankLnjyLMD1w8zQiOHVWJjm7r0Yb4uEpCdwD3bUfHj/YndBQPvvM=
+
ttW5pIJHzlOj6sjsc+R/bOYhiyKv06WU+HyZx+whi8CpsIVrduPzypJXJdyjKsj4flXvcGp9XKP=
z
YzuHH+cXqwSlVC9VXlY6Bpji6nlpeHqCujc8Q4s7YmsNJ+7otx0FDOSmfp73zbRx5tpp92v5JMo=
4
OObv+6OKZXvWCakuJGub9POR5LkKEWqLknsjREmIU8WjF/M8NQMP6vvGPPM67H+weppcK2ElneO=
G
h5/l1YPMvn6mI+1p+T8za9Kl45G4vU/cSvxe2xLy3vHSGKWEd2JMukWueoFTWSA1VTlqb0Ipu7C=
M
gnbwxCH/Y/UelAVlZWfQ1er9ul+F6UMKV1bqp+u6kclq9R6RME/GwTnJ3h0Vyen4j1L0lL/6qkj=
9
fxda1DLeIX/9+Jd49o8bzdSJg8vxystKeRVFHufgvIZhj5H/O/Ae9om3QM3WuMpT8ttdg/T/UH8=
P
52NfMGNbUYp7tLkU50kc6oz8NXfjlS0y/eITbN84HtNmO1NIWnZEXenzHC7E6zt24ojaPLnWDwO=
v
hit/iLo6nk9Q8MZIvL7HGI/2bfkVnszPxzeyc2pDtIgzUEQ5vBF/WnePus5OBTn3QvzQbJWS83F=
T
3Wbq7xc4uGs8ivTzeT4atArL1uWc74llyfKtMUylTm80PdfI/cj28Xhy3XI9pemvexZg/m+6YNo=
b
+lDJsqyKZUIICVHBniTxPDpNKZuQEarBaPSmKG9d8OLw+/Bz1Skz3gdmJCiKfN/fjA4txu+/BLa=
9
8ys0iYsroYNTG7fYl6bpcN2GXnKvj14Adh/WC5pdGuqIvYCFf0YZRt4rj2MvMyUaWexNK/KBEq8=
d
HTSqs3KFilsU+1f/goO+Ap2MU3HVbaYMXOX2TLty/i1nqfQkjJSW9h7l45jKeNb2wOigvT2+RP5=
G
qxglkVWq9XL7Z95IXEn1vDTsx0EbbdynI5/RxhgTpke8ldIRyE39PM+cOmfioHinDH/P7AsJ5z4=
a
uHmLV5I1JsWWT0y9JeSEJdlzJYiif01te0zaIvXei/Ng8L9o8rlZe0LHCes1pto4dXw1xmlPE4g=
n
iXqemyT7XKxqq5rifRX+39h9bfJzzvtspU2TafPuGtNFK8Seh2fIy6OyPzPrfeJWty0Z6DVIKeO=
O
985L+1T766c9TLHvxJh0i1eIXuBU5JKiHI3npeBMd3HawROKjfIeNO8leY/KorJv2kOBZ5D6qfb=
e
N6Yomp51WL8HOu5O7d1RMZyOJu3WY/LQuejZ3ExX+ObQH2BW47Ocna2Oq3NuGYWLZQrMP4uQv0k=
8
Hs7BKVpx/QKffbJRNhyexkHrcHBKjeZmw2cjij6Vv+cjPVPe+54BQIlq59PQjgE+pbjHOecaj4V=
/
7ESRb5RK5PJmGThD/T24Pwd/LViNvdIH+I/maHGlPqxEcoaZuSLreQSdQ8Mfd9o1NM7AKefqjZT=
4
a569TqY06RCLJ1v9m4eeNjiBmr2RLvf7x0co2ASs2GuMLufU/onjjWOxcY7q3g/p2k7yVxQV/lY=
f
Sp10nKGv/QIH9/1Bh8RRoiyrcJkQQgzHwEhiPz33t78Yhdgqi+dJGL7EQf1QBwqZi4y+G6XaKEs=
L
vc/YReNKsJBGOmP6M3jqRXuNUkRV50gcaaMdMRk5P3jB1WhyKOLPeFw4HjJTvJqPfOnUqs5vWIl=
X
aMXeM3KYxd/c6SOJBFM3XJdqbVzwO6s20KPU9ygPx1rGwZSbR72pNr57eryshFTqZZOzZZhBkUI=
9
T53aOE9H28zkLfLpyA3iaWLD9Iifdac2cnMI5dMSc64/11+nW2RXinpLyIlKsudKCB2zn32N+0S=
r
VtLF4GunjujrPMOsaWfD2Gcv8sx7aCNsCeccPBS0Y2eeXdu0UV8exnYbFkKMPfLsq1/lfGbWfuJ=
W
G96B81o0x3nqr5dG4+VXM1GhEop9J5aU7lTkGCaxHbQHThjMe7Bp83G4VMksLAPHk0YvFnsm6lu=
D
h+91mdK7wx6oSGRR1qIFeHnlDKt0xvDPT5D/9ggsKkbhTYVXrJJ/RlpHXF7/LmTUUjv/2oqiPOM=
h
UHn0xiW1ZcLLJzhYKPdajfxDktvvIb3hEDmhSnLO5WaqzTef5WOdBHzwofHGOfNCtG8hAfHIoqa=
b
1v0/PLvFBlQoFSXL6lkmhJwoVKiR5Gn72Tl/Dq/qRKweA/PpOa8DoRU59ZLTLnHeC81TyFyMV4E=
/
YqC9Duxn7KJxxXUgHcyIhRnNkZ8eMXNGKQwyan8mulwhquWxo2rJzHS0z6xTO6LEw5mvbuOWkZ6=
y
jtrYKSLRNUkq9B4OVUXGpjOegVtUZ9nv9JVICfVS5aWL6mxKfE1SquepYaYBiFLwpMmbE6/Jsx3=
1
80b8tOeKJ7fbsDpuRNsjeu6sySoP1lAkBjR9UtmedUKqE/Ftk90WinuuQseMp4NvVExA2hG7Jom=
+
zlkHSf3C63ek8rnYVM4J0N5uniFi0LjQlJpHr1XKrY2ncj4zaz3qbviBMY4UfGSMJbWMnHX/IJk=
B
p5h3YsnpLp2MTFsebQdPPPR7UMlTpplp45WHnX6jB7jkvRJHSu+OisJbk0T9nuyCactm+OuO+Og=
1
Lvrj9T1fAP9+Plq3vR/t9YEv8I1eRPR0nPGDyKKZNYegrl2n86svcs2Gy/o3zVSZUy/E5Ve01ut=
0
fLP/TbwSvXdp7vGPr83O989HupZdDJdnWe8KlY+bjAdHz3S5u+LcS3GTeMr48ZyL87zFYy3nXJ2=
h
0wocwZFSGIrOyWxorvs/dZ0OsYTWJHGmn4Rog851zCoxJ9fuZ7xO+v1EG01UzKjbPFsf83HiHPd=
s
/zJ+9SWQ+9nnJ5nSUypZVr0yIYQYKtaTRCm/merlZkbZxbJfE+9NWI37h7+NbTLX2Y4QfP7nlbh=
1
2q/wa9Vp06Pe8y/BeQkj9qZzYo6bn3SsYuNKWDAumG7z8bRf6hGLzz8LXrpexzQ6FUHCcWqCVly=
5
VBmZGYxsnJEbTd3EDrgd2U8+FSSYQhI3T9gYDFwDSLNi7mHcTb0RudLMvddUFRnr/AiREckSZBV=
X
L4O8GLfxzAmqPqdYz5MTpONB7Y5vFmPUefNlr35KUfNH71RexWX6fiVjV24H1ySOkvp4RjJ97tX=
A
xjf0aK2+922qt2BlXpp6S0i1JEnb5FPccxU61sMomMUsQO23B/XlOlmYWa6TX+KaHHHPfJRUzvF=
4
esJKMx1IzrviMBY6yrFRmk08Xc5KaHArgC9x3hXqvuJp8KV4/r2Ajo7MbxEle3Fy40X8OzF5urV=
B
SMJVW769FDLyvFai7eAJh/celPeGDrDocK+OnKllnkD0eVga/+44tmzF2rWrjPfC99vgkvZisPg=
t
9lqjxnnNH8dtbdpoZfWcetno2SUbdewaEru8BWFD5KDgkCi+pyO9jsT1NfbuytFHwpTiHp53hVK=
2
W1z3OG5qKX2q89GkzSjcM2ApBmYCHRo0j/sIjOHfmiE9U6Xlg0JtYJQpJ5d0m4D29SR9Kp4LRuG=
2
C5qZ6w/n450Eg04MNdvg8vaP479am/6dTGV6XW+VgvrZaBAxDLicUat9JSxY+ls7JUrJutEvMLC=
9
krVs1+uNnrcsxZibfpKiLKtgmRBCQuiPXS2rdee/1Ib/4avsA7PVXvHfwbppvJmZWXnfwr8N8k1=
/
vGlGuUQpi1/Honog0py+Jlh161v1G3Zt9Dtz5eXEkllZyGzZS/9lvUxO5csoNWQBvp9jZTm/cEF=
I
9aCqPHfVlTLJTxZXvQZmLRYbdCJRFetUdarnXlozzv6F/mvojYEDh6DJ98WTpAtmb7LBLtfNw+S=
W
6cYzYd5kHdShxxp0rvM94PNcPPv8GBRc/DjGtbNfL0ngaxzcMgbT3jBrWrTvvhI31jsdX+2ZYb7=
i
4l775R+waM5I/Elt9uy7HpefDXVtO7NAaCnucfkNS9GzifVCCKHyuW4+Tv7hXUj/j7+iYHU3PFt=
g
Dyn8fKm8TlZ5bX2TSmt955O1Lv8swp9W9o2fcuTJLA657n/VdeIpmuy8QwswasEMu2No0nkhBsp=
6
MdFj9cdi1E0dcY72BlJl+IPE8grjlbnd9fhUnf8bYPjQbJwHlUbPo6XRKAzvosJiuvBHPv4d/lr=
v
xynJssnxLhNyQlH42S/131fGuh+QJuXhGKxJUlbs3FU9YlDyaA8RKLPKhzKuCMRAInP0Zb0CQgg=
h
FYfv6Se/4rxXSAxfA3qEXyGjWXF4x72/irXv5Jr1Ss68ED+8QP3ddA+mv/lbFH3uTc8wfPNVEQo=
2
PYpnrfFC+D/vPt6XVjatRpH1ijnyyWptINFE71uKe/zp1cF4pWArjrifl5W1VgqexqKT7JdWvix=
E
vqOMC2t3fWS+kHL2hfqLKute6Y9XPszHX71pHsK/vsZXn/0B694oZk0WJ30+cv89y/HKImsgEeL=
O
S8IltcRr4mvs2xtZfHX3cuzSnhOno07DnyTKLQGnzFPh48lKtgtQ8Jkj9399gSMHV2PNpzVTluV=
x
LxNCSLFUYU+SE4tj40lCOFpbMpQRIccePnflg/JLJE4mxgAdfMko77YMHLSej8eC6lROXlrDniQ=
n
Ppd3XYqe6f/Apld6YT7X+aoSsExIeaEnScVThT1JCCGEEEJIqoS+JKTXOQkWqSVE+NMn+/ANzke=
d
DBtAjjssE0KqHjSSEEIIIYScAIS+JGQ/q+9+kpl8l7kL/zVwPSZf2Ron/yMfBYU2mBxHWCaEVFV=
o
JCGEEEIIOQEIfUlIvuiz7+1jNtWGVHWexpOz7Wd1Z9+NFZzWUQVgmRBSVaGRhBBCCCHkhGA1bh0=
w
GI362F8xn4UmhBBCSDw0khBCCCGEEEIIIYQoaCQhhBBCCCGEEEIIUdBIQgghhBBCCCGEEKKgkYQ=
Q
QgghhBBCCCFEQSMJIYQQQgghhBBCiOIk+W9ZrTv/pTb0tpB9YLba83djuWn8WrtFUuGkb7/FgBk=
L
7B7wrZLvnCG97R4hhBBCCCGEEFI2XhnbwW6R8kJPEkIIIYQQQgghhBBFuT1JFtSarP+SEvgWeGN=
c
A7ujUOK9btwuu0Mqit6HRum/rJfJoYwIOfbwuSsflF8iVVEm1amcvLRO6q86aIQQUo15YK7R2+l=
J
UnHQk4QQQgghhBBCCCFEQSMJIYQQQgghhBBCiIJGEkIIIYQQQgghhBAFjSSEEEIIIYQQQgghChp=
J
CCGEEEIIIYQQQhQ0khBCCCGEEEIIIYQoaCQhhBBCCCGEEEIIUdBIQgghhBBCCCGEEKKgkYQQQgg=
h
hBBCCCFEQSMJIYQQQgghhBBCiIJGEkIIIYQQQsixY/UjaFX/OoxcvR/PXvcI1tlgUrnsmdkf2TP=
3
273KRJXrvS9jj90jEXa+jOx7N9gdUhWpUCPJztVv45T/WuX83sbjh9SBDz8Mwp7/izkZX+HxCZH=
z
FG4cl6z+ygS61//Xh3hNB7rXB+e+9nwQ5t/r0E5c4oWp3+0fmmBBnz9hJ3bafeAvuD3h3HCYny6=
F
ez8/Xns/9z7F4qbPSYuRhZdfIV5mBptGX75J0mbPc/MQd/+QHPXPTUd1o+S6FuTPLetoniMyjq3=
X
yeReHQjX89Dz4+TPyNPIRmQYyqOuS9G6aXHrmfqFrgs94079TLi3W27OfSJxu+Xh49yjpDS/9nw=
k
D+ra2DbGjSuShtAzpkh6nUUfT5CzPT/URhlMfNE6aq9xz4/Jn5FhYjnFxZmYLqeexMk5JAcnLhv=
u
5jskk4Q8Jm/v3Oti5ZgQZ5K67SF1IxIm8Xhx6zhjyqD8JMmjK8PYPLhllFxOPknKJPEdE5ZTtA5=
X
VXQ+ylg+Cc96NcettwYpU6+MTfke+3JNvG9U7m4ZBm2881PPp4SH8ib12j63oec+VKdLWT+s4h7=
8
+uPZ8j74Os4U4xHFyb93csOBKLrFHS8tOr7rUlBoVV6Mgr0BI8spm3UrtmHE+olA/76Y2vpatLf=
h
KSOySiXNxx0xAgV1auRqFSR1IlnafRmnxrp7VbyhuKRsktWh/Vi9qClGDq5t65A5L7ifm1avfOP=
C
DPreNg6dL5fVc7G4RTvUU5vuvVKvt5IPc66+PsagIPdPuG91oWE79MhfU2HPMKl4KtRI0rDj1fj=
q
yU7m98vmaFGnLrrVUi/Hp4AlNnwJNuqX3M7VG/Fc23bm3LvPxP2z1AtMvfC6b6iLLfrcdrh9w0b=
1
ElUdwKWf49Ff2uvbfoIF8pL8cBvur9/Gvxc2HNAvwOt/Zs776sk2uGVDYfASbmvPVb/nLjRB8lJ=
d
0EadZ3Y1O1cXIq+7l67z8dJG23Gu09ymqxPe73iKDpIXb3dE4pWX9ixgUvfT9Dklo+Tzi7243eb=
v
qzEN0VCFmrgz8Ggdc5YQKzN77LXnC3FJ9/PtXpK06Y7KJ+it8hWg5DsruP+S+h+hu+rIBHKUe6n=
z
256P6+0V1Y5DB/C+K7dXA2Xolru9fF6o8/fa8xsBL+xuoLujOIVlHF+vRdny5a7qZd5T4c5a1UX=
q
hpN3nSfn+UmRnZv2IrNtWMYhvOdQZLPU1l95ZhxZyrObuWR9pKNvCbURGXhf3yfyDKm249HdGyO=
K
gFte7XDJxuDZKTHNCZzmt0emjJ3OvtPOeO1EQDHXqfQt2H0+btkdyDz0vHc7gnEJ8jgNt7T93LS=
H
HqquP1dfxWN3hWT5u0WFPbcpLCOdBqfNiUuX+4xsqfNJpI5EyuKXZ2CBlEPSdtGRiW37fJI8t/F=
t
m0sQp7Rnvtz8NlzqR6RuX6jyuOGTkLFgwYbz0VvFHfeeqDBi8xjfJuPDTwK5d/8cD9j6/drz64N=
6
8uTVuKeWDnaIL5O4d4wm5l1XtfkKSzeciVvcsv4Oc30bp98iqHrzkn5/Sxsfff8fQ+qoZ3/JtiT=
v
w3AZen3JLaq9aOH1x372A3tuMoLn3n0+ylY/Gijl/Q1s3v0GVo0GprarAENJSiilsJ1qKEfP0/f=
e
vL4ZlidRlusNnqvOebD0hoVYjOKc3XoWpqescLbFlN1zcUeo0S4d7R+T6yUeldfH2trQqkCgnFc=
E
6+7ti8U9bZnunoeWK17Gno4PYvMbN2sDQnkQI8HyGyci2+5rVq8B5nr1dxumuHVo53os1gYpVeY=
F
XbBKp2kiWk2ca40RDwZpndsUU+9UaVXXbHHDHjPGCjFcDMZEE65+UzrqYJ91K9aiVZPadg/Itmn=
a
PBcYXEoPCl3fq1QdKRmRT/HGrtro2HMblldXI893gEqbbqM75t0inV5FC/WizNv/FQr2AbdfbDt=
g
0kHddwQFZs9yCjLq/x3v7zd/TWf+KxSqDrt0XFH7DLTwOrX7j6j2Oi3hXsCZyEjoMAaIISDawW5=
Y
+0wUWIPLzv2f45Y2yV7M8uIFHr0hcrxWQ7yvOvst7G6J6A5MRkLHVjoJ73cMKxRJZaYU8wfqtME=
9
fluUJG34AZ6zxoAAJWOIMcvsSQerYN/fzY7ltY2fx8RVjVBl8lxZOvtSx3Z/YZTpBBmH8ep1qM7=
U
SsPtdT5HYUiJrKLoetgm9Dxc/7M4has4/oJxG+pi3M+iCmfxSFuB7k2devkDjFOdY5FnArVOR+Y=
+
r7Or6rN0nBOeoVNwT7doPT4NlyiF3nSc1fGfeW1T2dLso+rWku6IGBtSIHKdGGfR7UKMU30AL0y=
3
RZ5SceGFMcYA4JI2dQNjk+K1V5UyfIOrBBWTP/WsZzpKi0lDU1xi94W4dEldf8nes2HHC8N1JFo=
W
3rNX2nZRiH1uk7Vt5eUH6O0Z4AVfsYx/T1QYsXlM0ibH1gFjzJlUXPuWpEzi3jHVkg+34bm2TfG=
c
YxwIeSmIgU6M3Y43mDYcRT0LxJvIeiLo8+Q63zOhGnmbRAx+r238xL6T4t7/x5K6mNT989DAg09=
M
GVYY5Yy73uBBSgHdhcWvibIT9ggwClA4LBjRd0bz+6/VIcnPNeyZOQvL0UGP8msa3owpkRF/fyR=
f
e6eIIm/j1HGZ7eyZrzmeBOpnFdJEjwOLjPj37I8pN3bA8hWe8ipxPYKRvqdAokdCMEXGzZdK31u=
u
N4xjYNJptuEqTa4XQuAl4MYV5yXgyPXOlTbMTYtRTvV1O8XTRCmqNv64+627V52rfibck+doVQ5=
r
MViF+fFErgvh5itBvhuwfLFTpkoxvuOxm1FP4vTiisglRLFxi6Ep0TiBjg8mhln2vLYSrW4UY4N=
N
hwn22aGUih7X27R2vBbZhVuxw9bDMGJYA0bcm8xwsR/b8xugZTO767Bn+za75ZZ1TF26bhY26zC=
F
koNncAieB1Vn83WQooR6I9ffq37R427ZxhnG3OMif7c8vPN1WapnxQuXMlTndZq4Czsm9jXXhe4=
T
PBP1mjTF5u3FGVLI8aSSjCSqY77kTGPM0AqPejHazkbLJaK4HEXhbjkWQXXeJtX/CC3tud1tW3H=
9
z8SrZL0KW4/3VYddv+Sl0y0j/XLu0jOwxOsk+h0bGe10OgQbNuo4S+zsqI7olrZ7dRpa7ssIOqV=
K
MfPSZUa4VUdWdVzv/4UJK2snSpTqIG3qF9eB0IiByG66SH7d/GtKkbZDXyDPbsai4n9gd9Bhr95=
Y
ryRHwXrpKSsj22G+/gYZ4bdhv/jIGKFiZRxXr8WQFTYwVRekHoryq7dXe67OpazTShnL08ZKI5u=
Q
h4OHV9eVbD3Dpsgss3ZYydMGglhZSke/nSqPIH1u2n1cA5fmFNwzphMm7ZN2xHFHTyXNJRBKa6r=
t
jCK4zox0SnvZsGMGMq2RVtoiGfV/QOJL5ipeOw23Yy+W6nuJ10fkWS02f65hIEhDQHy69ChvtyO=
m
PYy0V7FlUSxOO1VM2xc8t6m0bcHx7tYbROO34erdMCjRAOiOwB97w7CTx5LaZPt+1YYRfe4nfjs=
U
nWYglLpMEt51VRspKz14cGFTPLrbGAeubxN4Hr326kfITDrYEaCNCdZTR3vQSB9DPBi0Z0IZDKH=
H
Dfe5ljahOcaFnuvjR4uObRK9uBRxZVh6nOcebXwvqPLHnY6WGWZLPAKmYpAZfZ/bQSlADyplRym=
b
b9gR8vWD0LhwJVarhnLdvUrRzjDnrhrdwEQgimnMuSVhvEbkunkYkeEZbDxUnM9IXLMw/d65On0=
z
B19vvDPkp9KJxcW79Mu0F60Yd+yPESH3/7XAjSaeBI8Eh5D3gXiX/OhmLLf3F08ck94NGNkfmGn=
D
xStAFHxzzURk2zSG45KpOGHFVQxJmz1Pm1FNscOGJ6WwKUYWcz9gFza3eESHmzxClZF4ZnTQaZ3=
S
USnfd241ccg5LWZFFPBwvlb1XInBIc8NFX9GMzS2u4kkyiWghLhLZAOmTzRTawzWYyhiQDEy7a+=
9
S7b7Roc4lCwmb7OGkSJsKdyFqe0SFf+ApmjijF4v72/O7aTSNFPlU8p6yyib7/XNMEUbF1Qdbm2=
9
U57pYq90MXkyMnkEPWxoSfVG2JHfzFynnr3Nk8XgJGW7Ej2s11iih0vkuHj+iAeQvscbmNljbeA=
F
shjI1uHqGc2fhWebPaif+8ZSV+W6hnHPhGFHQZHdIlWNSjGSmCkrwciwOw1H3Ccza5+NjPr2YAR=
3
mseStqfhktqq8zhBOrUmrPdGO8ojoz4bzzfnDhJjie0cOh0bOVd38pyw6HSLKCFX7jafWOVEFDN=
7
vT9NQEamzw+mCJQQbzJEUfLdSePcwH3Eo8ZuOhzYtFcpWrZT+9Qnqv1QStrzX6eeNhmZt5tx6A5=
m
jEdQdUTc0t/vFihHbr303fLduqLKukX904FYGf8lpl6fUkoFsergKvomX6ouRt3wS0CUjIIlxgg=
h
RqPYUTt/OooxfMrzKTKLeo0Ur9gZg8dXv6yL537xIQriDCr7j6BAlV203pr2pQ1gp7qklOYSCKX=
V
z1/JXjj+dTJFZp+n6G7ES/s8o4fC1kdtuI01IojXjJk2Y7w+ws9qSfnTRkEJs6OtoVHm4tIlBhy=
V
LplmFp7WVDqC9j552xd+blNpd50pPGJI9wxMdhqJKLyx7aE/Ah9jbKpkQnkstk2W92EhLvmlN1i=
g
znWmx+hpBq9s9T0gSl82ce+6qox40njK8Xrcr+qrNg64ZekayopBBmNc46vE7a3P4hnBqwu+wc8=
3
klYVTHsVfv6SlGGpsc+9qrfBtJ6KiFuUQfl7yCiQrRuY0XcZZVcK9pat1kNDFMV2s5TSbsI09lw=
Z
LfZIem5x+KPXfTFVpSVBqVIK2EilLS5fvBaNe8oaEM6ouvZi2Ybt6kHWRoKEKR7i6eApuxK/o/i=
h
g69Qu3mIEvI+0ATeHjKarhFjQY/wuiOBR4B4bhjCcYmByqTdI3S8WXHGB4tzz7j7ydQqL774PEr=
5
G68SLz+hkf9IviSOUim9MXLxKVfcUgdmoeV6Z0qWP9XGQTweCgZhuTak1EaT1iY4DjESbhnlTbG=
S
sjGGJGNgCKbhJMOfbmOnie0o2OUbTvTzkL8L727fhmzt6aJo2ACtzFZASCZBekuqN4J5NhR+vKp=
s
0QUdvQZS6pNKQ+CtEzkuOB4hgxfbMCEmTWFinglS5akEI4kzyhXl0E50tx4mLZQC5o/MaHfgyJo=
X
H36I7rqjKiOHwbQZUSpEIQopJrpTWTHTGiRuf1RbRqMTpgF5iNEieOGWerTOQ93DW0/FjJImnyI=
U
J7OfOYq6WTtEKWk/q1OKtCmlwx+JNkqVP11Ee5FUnVGosiOKhawrUBq3eXXNLDMC6RpDAhk7I5N=
O
vRZjg6+IipLpuM1XabRSYddViSLPl7u+j1Ko74d6NuyuQRTLQFkzSm9xo3aB0a/hxXUjc9WlDXG=
m
lrm4LvOeMqnT7irYMirv1GNBvIF8I4Mo2vI3eZrlWQs68ia+qLeLoZi0FktwnZ6a6KwFI4q/POf=
u
lAGpV0lR+c9cshHdEzxBUigTmRK2WyndS+1oq0N8uj5Tz1LgrRBtV0xZylpSNkDJ/fYyG1Hintt=
S
trvShttND/GKiZ9aZUfgnz+WimVcHpO1yaK0R71gwufq91eTZr6hV0bTK7ZMqhhiBPAHGdRPDDu=
6
/XXK0hmw8Y2psd46jvFVPfva6OjV/+O1jkdZsUai2z0viqqE9ugoVH0Lu5+0DBPR79fQ9MKPzFo=
n
LrUaYpLnSVOKuJNhpsCIIn2hUX48JWr1Gh3e8pSXMWWxXcNEvEPkmIc9159esKeYcxX1ru+iwtY=
G
HhtKIRs580M8O3mtGZHWniTmUAh1nsSb3aMBdsjaEjIaX2gVWPEkscROt1H58D0z5Cej7P6Um0D=
R
lPUlktFYNbLuyLjIzFsTw7+/KKYhj5YNmL7IWxMjyFc4LjFQhL0RQse3bnU8SYK0ivKdSPz9SiZ=
i
DFA/Y1CwRPIlZd24RbrdU8jinJjleIDsD3/xJUEuDiXFnRRRyB8EngmvGRNMtTFoo9GKa0PeKyH=
5
Sh3Xyr8xui2/0Z3aI8aAwKAWn7ZEQ4VL4xaqzvqGE/V742Zc1qRpMOVLDCJmKyAkk8DzpaR6E48=
q
WzjeXFKfPCOoJnJcse6xwLMk8BBT+MYVMTrqjRCxz4QltTIlx4MKN5JIxyJs8DCdQBmNERf7TDs=
F
Rrtv2xHOU2RBRa10BiM3pzz1OR4dJKOi0WkNZ+pzQ9erjmNe9zaq4+jcS/3EI0Q6nqFVz/17eeE=
y
Qmq8BERBjE63kPS28KcfSNhe3K7TFT635Ya6ZjqGKGOyL6O2ciyZm7yHvND9KUbBFCEz5cGMfEj=
e
RTGMl1k8sWnz5PuUN7osyo4d2XHcVL3Ouu6AVKlRqDIiSv0+Z2qNzrdT15x8B1NNlOzrh9foCBN=
f
r00H0JtSEtSVqo+MIIuHhc2TrnuewU4dkxF7W0eCZ9NBOqOhumKU2WDxPIs/HcWpa+oZWOI84+Y=
5
cBRB55rb0dROvfPOE7lH0qfSLgtZhspOnjN48chx1V7sT57mhtotPDg/XBcCt+5T/ktG9ePTmjh=
9
JO66mGkuYjhdojrVN4injD2/2OddFMK/o6B+1NCcSpmcgm6qf1SQYMxLlq49yOhmpzmqX9C2WMT=
z
xS2LXxxB72Ttog0z8rBl4qYh9rlN1ra5OHKOfQbNOyWhbip03BvCimXce6LCiM1jfJus361u3vS=
7
JXn77ZOkTOLeMUH7J+dV/fbLn0rh4Rh0tTeFW5Zu2zxrrwlz8PsJ0p6LcfziukFfQDwIqxWmjr8=
U
8oiKe/8fD1SdHVQXUPVeKK4ME7jwQu31afpLqr7vbh7z/NvneOlO5JQm7hDBNIJOE4ER642y2f6=
x
icgunIVOMiLcXwwXj+COHyklOMOe324lYJVv99xOi5QiJIH14s/1EZd8PY2nrx1d34rswReiY08=
x
fkhYXyyGo5hpZErALOzoMQhTHpP1U9ZiyvY2+q/2fpislFd7Zhz+VBsPrYTO8qdOLL5TxaHiGZw=
v
03ic8xxk3ZZWXprr98fq1l2w2fMQ8NdjaYtho7f5Hhmt7oVeKFbL0nrICOG4RivFMrw4bej4ChW=
H
Dq2NO0Y19ctsSn5URkLb2PvFo87t4a1JItOZmmGKvk5+0Wkl4Xx1WtQlIieZYiULo3p56ostN7r=
e
PFG5uN4YJcVtDV/iGWPrmkwFMoY9ZyqMNoxFp9rItJVdqoBHm3PstSH5ylQfMaBoo1swXcZbi6P=
9
vYP8co7Ld5PWxXtK1Rv8CFpO9uK0a/zoKV82TXduRavoMxKSyYPY0tqUdUn1Jp5wvfHz6xM5ruT=
Y
+MZgP+wRstKmaTQ2S7ug2gsxekLSpK6D2k58JoxxyV3cllQtTpL/ltW6819qQ28L2Qdmqz1/N5a=
b
xptCXlBrsv5LSuBb4I1xTsOtxHvdOLpcVTS9D43Sf1kvk0MZEXLs4XNXPii/RKqiTKpTOXlpndR=
f
ddBIBPEemIsmb1TUF3Qs4h3zWruYhUBJpSLTRB5rgOUhI0AlI4ulbu8f9rw5ESmzbCv2GXtgrtH=
b
Xxkb9lQhZafSvm5DCCGEEEIIIXptlXbOF0vIMSM61eaY0PFatFq0Pjy9iwTErRFDqhQ0khBCCCG=
E
EEIsMk2kgr1I7JdBTnjPgiqIfCEp2WeBK4+2mJKwUPAJiEyTK4uHTlmvI8cMGkkIIYQQQgghhBB=
C
FDSSEEIIIYQQQgghhChoJCGEEEIIIYQQQghR0EhCCCGEEEIIIYQQoqCRhBBCCCGEEEIIIURBIwk=
h
hBBCCCGEEEKIgkYSQgghhBBCCCGEEAWNJIQQQgghhBBCCCEKGkkIIYQQQgghhBBCFCfJf8tq3fk=
v
taG3hewDs9WevxvLTePX2i2SCid9+y0GzFhg94BvlXznDOlt9wghhBBCCCGEkLLxytgOdouUF3q=
S
EEIIIYQQQgghhChiPUky7r9J/f+t2UnCb363Q/+9peF+/ZeUxEnY9tJBu6046SR0fqmV3SEVxc3=
r
LtJ/X27/gf5LEqGMCDn28LkrH5RfIlVRJtWpnLy0TupffH+XEEKqOg/MNWo8PUkqjlgjCTkG0Eh=
S
KbAjXTKUESHHHj535YPyS6QqyqQ6lZOXVhpJCCHVHRpJKh5OtyGEEEIIIYQQQghR0EhCCCGEEEI=
I
IYQQotC+Of9ba8DDzf77P8fokBRZuH6n/tuzgbPOBimWRbvO03+NzL5F01vMPqk46JJdMpQRIcc=
e
Pnflg/JLpCrKpDqVk5dWTrchhFR3ON2m4vHXIflWYTdTwvsEMDssqcNOXuVDGZcMZUTIsYfPXfm=
g
/BKpijKpTuXkpZVGEkJIdYdGkoqH020IIYQQQgghhBBCFDSSEEIIIYQQQgghhChoJCGEEEIIIYQ=
Q
QghR0EhCCCGEEEIIIYQQoqCRhBBCCCGEEEIIIURBIwkhhBBCCCGEVDgbMLL+I1hn9yqVnS9j5Mz=
9
docksPoRZFM+JEUq1Eiyc8Gj+N6P73N+j+JXe9WB378QhE3aYk7Gp/hV/8h5CjeOixZ8agLd63/=
8
AlbqQPf64NyVk4Iw/15738RFXpj69fu9CQ6d2/9N7NShW9DPP9e7lxvmpEtj0+FfH5+vYnHT58f=
j
ycJLg5As7pjwWJmH8xwrB3tuKEz/3HRUN5KXSaI84srfvT5JvYyt19G6UpVR+Q49A0ZOUgdFLon=
P
tvo59Sr6jF20YLuSQ6T+yzlO/fYI1zXnmYucu3KSjU/ice9ty8yrz2Gc8kiIT4VF8xCKV6616Yn=
k
z40rPv2WYq7T6OMROTn1KiFPNr6EemWvcc9PyJ9Xt0Nhipg4dXlH0hrUgUh6La4c3Lh0uBtXRCY=
J
eUzSdoWui5WjPaZ+XpzhehtNt5RvMXXUxhlfryoKt71w0hKbV1t++ufWsyRxuITkE1xr5OPG5d6=
j
OrRf4fRKfZH6Fi4zOSfyXJ7AFJ9/I69jX66J9/Xbc4vb5oSf26BsJTyUN6nXto1w259oO+zGXSJ=
K
iWpV/7rgd+9rePY6+bvBniCI0nsdRq62u5Y9M/uHro0eP+4oBTrbSd8JrSyG8ioGiv26HJOVybp=
7
++PZlCqIYMo/JD/3fte9jD02WLN6DTaP7o/2Ng0mTc793Drn1zNzjyD9HknisKx7bCVaXl/bbN/=
r
nad+0TQlQ/Khz00iL/94NaXjtWi1aH31TT85plSokaRh7/vx9e9+ZX7zuqFFoyvRva56OY4Gltr=
w
pZitX3I7FzyNZzuNMedOrItRD6kXmHrhdV11JT7S547BHaueVi9R1QF8Zi8mz7PXd9qI+fKS/P2=
r
GNVsoH8vrPpQvwC7PGDO+/p3A9F71dLgJdzJnqt+OVfZMKT58X499xo0VCErJ80GJtqwiUA3r5P=
e
qJtN16/wQe9zTZhC8vF+J5VXZz8hX/ZYPEo+ff+IOyLpkJd6V3TD5EbmLCFZ3CsnTQjCf3c/7qu=
r
wnI9mY/B5K1WDkr56IZAZptGm45EnMyCMPWb2EbJ7zJ0kURUR/Z+qMrIkVuOKVORsS8P9ZN6EV/=
+
5+K+uTZM6tqsV5Xc4ut1snpZfRCFS2Rg6pGH92x/NCgNLQZZWT7Q0h61OM/YB72boHsn4Nn1juK=
9
/o/qnAt1/faQjq1bBiLzUaXtwP/+XWzq1Aabnkl81kLPzJ27MdbvYG/B/K1t0Nt7NlLByd/SZkv=
R
3Gsb3Hbkd7clPidJrzMyubhTUCd1e+DXqzG4JDem/VB5vThSr1bm7kXvTml2T0iSv0YS9m5YgdB=
p
UM+4z6dYsqouequ0+vIKtc3d8L6fXkP0WZr8sTwjpnznZ6l2xZwWENseG2LbriTtZAgvTmnbnLr=
Q
23+eXTkL5yavo6J8PQRMVvW9Uoltm9Qz+FCQV6kzXeWZUPXca5s+GrTXf07i2v8wEdnNq4/56tq=
4
d4wmybuuyuKkV9qkLlltsCDXKWcltwXV+f1VSpLnX9WDH7+LPvI+Px40Us+SfnfGEW5zUnrfJBC=
0
w+7zEduelUgDjFj/BjbvVr/HrkfHng2AxWsCRVUpvcvRAdkd7b5iz8z+6KTeX/51u9XO5MpRJuV=
e
KSu9UXpMtOl7A8sHG2U6iijXVc3AI3lO3aizASPbrUQPryzWN8PymcAdb7yBKU6ZlQ0xXqxB9tw=
O
dl/Yj2fvDO43s/UsDHbSum7FNvQQw8XO9djSc55J09ymmPqYGERUfP2BmbpM5mFE/mgje1XHMNf=
E
t2r0Nkyx8a27ty8We3Hsnos7Qi/CDVi+uCma+GFBPV7Vc2UoTSVTu4LkdWwpue62RXbrlVhdvTr=
m
5DhRadNtdMf7zsSObEv1oty061Ns+Vg1WO1sB+yqy9D7493qFe5yLlo0O4D3i8xf05H9FAWq499=
H
OtXp9dFile3sF+02HVvZDlEXLRI6jKVA7rH1QHIlVxSHj7shp53dV5Scrwi6A9MtoWMrnYQPep9=
n
9wzxcStlaFUbTI50Zrs8kKis7dylFKks29GoeyHuaLQXBQkKYqLMRAGb3K+kDkoVpu41yEno7Ev=
H
SfVhistXsvJvVB/Rq7x6nVq9rLpssUaFqOJaFhq2u9IxEhl5+/VXY+ruUrfze9VtpVTMxIiqyvG=
B
G3AH/oglkfrcsEFdFHgdcxW3l6+dC5YCd96G8RElOVW6PCAGxbCxIRXC123B2FVXYvwD6ln2w87=
D
JY022g7+ubjvgRhjAC5Dn4gBY5RSdseHDKrJ8lcffTq5CoRNQ5bdFX7/qqoDNyDHVbbqpuHij71=
7
tkROSGFJfJa89keMraWtS3FtV7J2srwkraOqzfhg7jUJz3mFE9s2HcT7kAEGsydKb8HHB0P1NyC=
+
/Q8RlZ29Z9w75oRA3o3Os7kyd2Pw3vsukDT/6rmNM+IeM67E5EF7g4Enl7g2p6KogLjrXd8FjbE=
W
y63ytW7FWqDHtWhvdhUbMH3iLjQe/YijtLbFlDduRj3ZdD0FrHFDGzrufcR4C4j3QEnnOOd1Uvd=
C
4Sx0cjwkvGuNgmjDQt4vcYSvFSOE3HPwYmB5f3v9zpeR7ccj5xuvBvG8yNbX9sezb7leG9a7QV8=
X
pD175obgXl58co53nRsWuk4p9jbPOyb29WXjekkkGE/EiNVjUFAWDW/GlMG1dZo9zwv3+qhSXWz=
c
Uq67H3TKXihSLXEXdLT3a39jB+woKDI7YrjIt8dsOkLs3IXNfl2qrQ1ym7ere3Z8MMZAIUaQDhi=
Z
xLil48popupqIjsKVJ0R4mQuhhov7M6gVxPIK/54KK6Y6URy/Uj1ix4vXr6JZePu+2lWdULqiXf=
/
2LrrPlPO/Ru3UG/OrXaHkGKoJCOJ6njPqmuMGerFPF5ejNYNsvmsAyrsbyiIq6Cq8zZZdf6b23O=
7
qQ6r0OUB8SqZoMIm4H3V8dcveenEyki/nPtMfSzzOokyAqivl9Fwp0OwaraOM+yOfACj+pp7eW7=
d
XfqJh4UN67sUBTpUoRQEL13G3VNG53Yr5SysLMTmqxjEcBGkLUhHIkni3nsAm7DRl2+Cu7/2bDA=
d
5C0fi+xjSCYzQRSwrUGHvXpjvZK0MqcUESUPv/xtvUha/t4UABmRfVgU17h6rUhWL6sDqo53U89=
t
sQpXcTj1WD8jYojzDBd7P8Szth76SN31DE5+HSylK7iOV0ZJz8V9d9ZNNHgoxVJGzkdJ3L67tRl=
Z
lPapYe9uCV4ZqSHGDM/ImNiOJMe5Timvm7QRzdQl7SFnvZYmfyztXfKpHu5osTZIh5TA4vPX0jU=
M
+GkIEKOoNhRcdQMm+14nomCNwSXPSD6jUzrkWapbOoN0bHscwWm7UmonvePquXWNkwu85zn3ssT=
R
6JLq6DHDaZt0m14c5v2qn9OS2n+FyK5Fo1IYQxLedVUcJ72m7WiJPp7HqZLV/K3dML6UhrrqTdX=
N
f8vedzneYQHxbU5pCdrhrrjLN7aXLe5dmNouUL7QsB16ZCjla4UoaKKoAtk3tjWnCqKcqj+tmoi=
3
gKM4aoVePAXWIlt7BczDCDheBou3oaWM9D+GYs5R99KeBx2MN4tSnleNbgBkDMIqpaw3nvkgpkK=
2
zTnL+ycqqyEWj/YVx5GrjbeA9kpYPwhYtB4YPBcze6h7Sloec/KYgFK6tUfDXNzxo5uxXHs2iNe=
D
usVrkbRL3BNnAc/IORORrb1yxPtiK0Z617WYFRgrvOvUua0mzvXz3Hi0up8YnpTyOxieR8w89Fj=
0
YGjayZ7t25QinG73YghdH/GWKCHuWGz5xyJTbXq2M8YyH5X3ydsw4l4l361bscOGxiMGuKbGMKL=
v
sxaDvfoVY5hA6wbOvYJ6PDh/EGYORqzM98ychc0iWwkf1TQhPfHHpfwcb525qur4RhcPld4Wj5h=
7
ed4wJck3pmzaP2bv4dcdw478ZtYDx9STHdG6q+qNF8/MHoGRU9CGKEJKoFKMJDKKuWnQDb6y7U7=
D
EffJixs0QYtm9mAEd5rH0k5puCRd3P+fBh42YX1ybUdIlFbp9Mq5DwNdvc6hKKn2ejnXKGtBmOt=
y
HdzLcet2z53XTaUzTSsxOU6YduWW0TmvcyrKtHTU+n+Ic5LkKxky0u27k4bcy6OIR43ddJERXsf=
d
OORmKoqnUtQ/soqBeDvEEiczy8qcpbEeQdURcUt//07PHV2U1Tb+dBm/XsSWv0KUbR1+F/CQUew=
S
67XqiCWrl9UBqUdi4El17naUhCkUwXSGREVeob0TrKeVlbvIsTRIvAWecjx6o9qOMXh4cXf6o5n=
q
Isrwx55iORsLPk70QCkZ1zDgTLeJKuEJBNfJCG/BLGMMESObO8pp2qaBwOgkRgS/w289QVwlqKT=
8
KXlMbiZh1gsnZBQTzwRP2ZiAUSoeo2wJdtrZvCvxbN9y1Gv3GUuYAmOJtF0ptZN+/TNGda8dM9N=
t
ItMvfUqoo8eIUNskz4UJjkHeh0txyTxvsCCm/Z/9atkMjpqYd509UmWJmR7kGxFjjIDfBapu/o0=
x
O/zMF9fmlAbbDqt6G0zrKWvcwTQFMyXFjPBrI0XMVBvVQKGV+qMVr4bGYCDKmsYq0Hp0u35fTC0=
0
wZoM62FQ7DmuZ8A2bI88kNpDQHuVqGv7r7Wh1vgRZ+RwptuIAuqP0rebVYKyHqWBmUKiCTwNtJe=
L
h+chIfLx8op0tMyQv0XYUhgo/HKdr7j6nhXeuWHECBIYqWqjSetdpfIMCF8fpkxx2/KPw59q4yB=
T
ZraMslNlmsV7fhjEc2cWWq63nitajtYgpn7uNJx4nGlj2qspXuY7CpTIvTTGpCf+eNh7Rofn74p=
M
AQvqSL0mTfXfkuQbVzbiIaLraP3R6tkLaOwbn+LriWuwFA8TQkpLJRhJnFGuKKrj29V6mLRs5Li=
B
i8EhOmdY1s/QHgzhUUpR9MX1ODQ6pjuVcVNHyoPqjD60NHmn2VeazUu5hXTU5l6DrJLyFSW9fjC=
q
W8KIbLzMlLLvTDMQbxFfWX8IWObM3RdFw1fERJFyXLpj0V4kJ8IonCgWsjaC6/ovRqegw5Q42lp=
C
+bs49bry62Ulo+q1GBP0GggVgJnO8KpS5D3PMhcz4hnrfq3rdWRKiYoj/GwYjwnf0KV+S7Xybw8=
r
3MUBpf4LWhn21qmQn1LU9XMl5eUq0uLJgMSpVYIYgsuyzkFwnRnh9ddS0Ir/u1gpxgFfHmLIs5s=
J
iHKvFGKlMEeVoKT5c+iSpRSVh562XjgOolT5xgj1E0VZK1svBAp3ghKfWI4rJ5XDiBLTdpWmnTT=
P
tt30EW8dp/10KL6OVjZxbVO4TQ+mS8iaEjJg4K47EtP+t77BN0KJ0UDnb5as72XOkWepXwU931U=
W
O+Wkn+dF8F2jKudfG3iXqr6F3U/W5sSg+zCO4U4GcRD1khIjsL92Xepxl4Q35WawGCJCU22Etsj=
u
oZRJ8XqwIT5Wgdaj21a5TVgLJJVzktC4hedV4l0rCrUo10o5TBjZj6CUyCn+qP1EZNvgBHzlV5R=
s
vRFCPA289TO0x0tKiGLbwXoCmF+qeRaF23j1CPuxPb8BWjptvpQVJjoeCiqf7hdfwteHKSnueFR=
e
1BvPW+dCpmMZRd+ZaqMx5bL8Rsd7Rcre947Yj9WLPIOEGJ4eBJ5x1x0J30cMZNp7ySXBUOESL3O=
Z
fuJ7/8R4tsQfD6dFh4e8WOIpsewSymYDpi/qYuv3PIxwjCH+lKad67E4pl7KIraep4v2vnJIkBs=
h
MVS4kSRReTCdQD3S21cpnXY6h3YDt6Oo35OFCvWIoXQC7bmj92Jy7LQGpRSpc0PX/3i2ehHepTq=
O
zr3UTxYSlI5naNVz716ijHhhP5aF7+R6Sb+3qvoEvQCnXB+EqZ8/3SKe+HwVgx7V9dyFg+ku5p5=
m
5EPyLgpKfNx2ZMa6mZo8Kzk8szHRDVl3TjyXdC8f8TITdAfkRBiFE2X3Y8ft3np3uFNrmq+6Uk+=
N
iSv/UL3060oK9dqvlxJH9aFh77tCI/HlQtfvjVgQVcYt4jEhi94aeRmPCm3kk3r9cFA+rox9/Kk=
2
AWJIdEcpu/QTrwcbh35mzvOnoviIAq5HHlsiRzwb/PO9NsjiTPdo/nE3x2vEmW4TN30k7jrpvIe=
e
LWO0G7X+Qkz25RG0S3Fo5dddp0gTTLXx8fPnoNc0UrKOGAF913QPz3CUfoOd8ijpSpyWJ1Mi/bZ=
F
/UY1Mp6Epu0VbxbTFkmdim2PfZK0XUnayRCOnN12zMM8mzELR8bVUft+0B4+UgfL6l1VErFtU1y=
b
bt+tbl3TaYo/N4TK3wduve67G338ti78jinNu65qY/oNC06YqaKlJS7/9j0mHnf6HXW8vBylbTd=
t
l5C0zYm2o8JVt5nFr20d7ba1W+yUVv1uf+ZNPF+auEvCTrkR4rwQZEqAuPR7o/R65ForjW0xRU+=
D
MeHyi66Bode5KPGcAFEkvTVJdgx+RE/P0Z4k8ivNgq6Sp3xv+k0wSi9ravjrOjS8GSNbe/HPwmZ=
H
SfUQo8RmL+2+N0tJ1MYdzzTDFC/dMV9qcTGGD7smScf+eoFTc50sZOquBaMQbx5ZGNVONWnVbiu=
y
XQNM6PqIrEuK2/OaUfnUa6ToKS8qL6OC+8l0EW0EiU61WT1XewkF5SzXtsWw0dtsvQnuJ4an5c5=
0
GVOuSe7jIQaXwuKm78TLvN7gQWil86LCVqj6bc/2iD8eTksrWXy22OlZlpLkm1A2stCqV//CXla=
N
82eZ89qpv3ONt41bd9vfGKTP9XASz5iSDV+EACfZv/hWYTdT4qbxpiF8uf0H+i8pmZvXXaT/Uma=
V
B2VcMpQRIccePnflg/JLpCrKpDqVk5fWSf1L1f0lJCVk4dLt90a/QFO5HI97HhdWP4Ls7f1T9j4=
K
2ICR1+3CMG9R5ROIB+Yalf6Vsal6c5GSqLSv2xBCCCGEEELId4voVJtjg3hP+FNjSCKxC+kSEg+=
N
JIQQQgghhBBSITifgD6WdHywDN4V1ZCy5vO7Ih9SIdBIQgghhBBCCCGEEKKgkYQQQgghhBBCCCF=
E
QSMJIYQQQgghhBBCiIJGEkIIIYQQQgghhBAFjSSEEEIIIYQQQgghChpJCCGEEEIIIYQQQhQ0khB=
C
CCGEEEIIIYQoaCQhhBBCCCGEEEIIUdBIQgghhBBCCCGEEKI4yf7Ftwq7mRI3jV9rtwghhBBCCKl=
+
TOpfqu4vIYRUOR6Ya1T6V8Z20H9J+aGRhBBCCCGEfCehUkEIqe54ejnbs4qjzEYSQgghhBBCCCG=
E
kBMJrklCCCGEEEIIIYQQoqCRhBBCCCGEEEIIIURBIwkhhBBCCCGEEEKIgkYSQgghhBBCCCGEEAD=
/
HyRGhFm7MFYQAAAAAElFTkSuQmCC" alt=3D"image.png" width=3D"1063" height=3D"13=
9" style=3D"margin-right: 25px;"><br></div><div><br></div><div>Te aguardo p=
ara fecharmos o arquivo e com isso, ter a VF para o fornecedor fazer a impr=
ess=E3o.</div><br></div><div class=3D"gmail_quote gmail_quote_container"><b=
lockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-le=
ft:1px solid rgb(204,204,204);padding-left:1ex"><div><div class=3D"gmail_qu=
ote"><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;bo=
rder-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir=3D"ltr"><di=
v><div class=3D"gmail_quote"><div dir=3D"ltr"><div class=3D"gmail_quote"><d=
iv dir=3D"ltr"><div dir=3D"ltr" class=3D"gmail_signature"><div dir=3D"ltr">=
<table style=3D"border-width:medium;border-style:none;border-color:currentc=
olor;border-collapse:collapse"><tbody><tr style=3D"height:41.95pt"><td rows=
pan=3D"3" style=3D"vertical-align:top;padding:0pt 5.4pt;overflow:hidden"><b=
r></td><td rowspan=3D"3" style=3D"vertical-align:top;padding:0pt 5.4pt;over=
flow:hidden"><br></td><td colspan=3D"3" style=3D"vertical-align:top;padding=
:0pt 5.4pt;overflow:hidden"><br></td></tr><tr style=3D"height:56pt"><td sty=
le=3D"vertical-align:top;padding:0pt 5.4pt;overflow:hidden"><br></td><td co=
lspan=3D"2" style=3D"vertical-align:top;padding:0pt 5.4pt;overflow:hidden">=
<br></td></tr><tr style=3D"height:41.8pt"><td style=3D"vertical-align:middl=
e;padding:0pt 5.4pt;overflow:hidden"><br></td><td style=3D"vertical-align:m=
iddle;padding:0pt 5.4pt;overflow:hidden"><br></td><td style=3D"vertical-ali=
gn:middle;padding:0pt 5.4pt;overflow:hidden"><br></td></tr></tbody></table>=
</div></div></div>
</div></div>
</div></div></div>
</blockquote></div>

</div>
</blockquote></div>
<img src=3D'https://www.mkt.tools/tracker/tagTracker.php?client=3DZDI5dVpHV=
nlablZz&id_sys_app=3DTVRVPQ=3D=3D&id_sys_flag=3DTnc9PQ=3D=3D&id_app_id=3DTm=
psbVlUUm1OVGc1WkdFek53PT0=3D&id_cnt_contact_in=3DTXc9PQ=3D=3D&id_cnt_contac=
t_out=3DT1E9PQ=3D=3D' class=3D'tagTracker' width=3D'0' height=3D'0' alt=3D'=
' style=3D'display:none;'></body></html>

--b1=_bHWFssrnRxQntGHyEvn4JyvVmrO5ThK4IBIxnLa0J2o--

