thing_web/public/scada/static/info-ece05237.js

const A="95ec29f9-1c19-445a-8bc5-df727b6a347b",e="custom-pictorial-bar",n="象形图",a=`<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" width="1019px" height="802px" viewBox="0 0 1019 802" enable-background="new 0 0 1019 802" xml:space="preserve">  <image id="image0" width="1019" height="802" x="0" y="0"
    href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA/sAAAMiCAYAAAAxSdPdAAAABGdBTUEAALGPC/xhBQAAACBjSFJN
AAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAACA
AElEQVR42uz9e5ycdX3//z/f13XNzO7M7uxxsjknm5CEHCCEcApJOB+iAirCh1Z6EA8trVi/1tqP
fvzUWr1Z/dbWfq18bPvxgP38ipXix1ZEixZFBUSlEVEOQjgbAiEESEgCm+zO9fvjmuuaQzabPVyn
mXnc2/Xa18yGXIfN7rzm9X69LmP3n+8KAAAAAAC0DCvpHQAAAAAAAOEi2QcAAAAAoMWQ7AMAAAAA
0GJI9gEAAAAAaDEk+wAAAAAAtBiSfQAAAAAAWgzJPgAAAAAALYZkHwAAAACAFkOyDwAAAABAiyHZ
BwAAAACgxZDsAwAAAADQYkj2AQAAAABoMST7AAAAAAC0GJJ9AAAAAABaDMk+AAAAAAAthmQfAAAA
AIAWQ7IPAAAAAECLIdkHAAAAAKDFkOwDAAAAANBinKR3oJlcc9VmFbtz+vTnf6j9Bw5O6vlrrtqs
VcuHJEm33blNN958b9KHAQAAAABocST7k3D5RWt19sZleuDhnUf8mpXLhrR08YB27d5X9+eK3Tm9
76M3Kd+Z1XuvPks7du7VnXc/nvQhAQAAAABaGMv4J+HGm+/VH37gq7rnvu3jPl/IZ/Xac1fpZ7/c
XvfYsiUl/eCuR7X/wEHt2r1PW+/9tdatmZ/04QAAAAAAWhzJfghee85KjYyM6rEndweP5TuzkqSH
H9sVPLZj514Vu3Mq5LNJ7zIAAAAAoIWR7M/QxpOHtWxJSdfd8JO6xwf7C8pl6ZIAAAAAAMSPZH8G
SgNduuDMFfq3//jlYQP7nn9hv0YOjk7rv9uXs5M+NAAAAABAE7OtzqUfTnonmsXCeX1avKBfP/nZ
kzp0aEyvO3elVq+Yo1PXLdLrzlul41fOVbG7Q2duWKodz+7RsccM6bGnduv5F/ZLkk47cZEyjnPU
AX2Li1llbaNR19VoWerN2ervsImJiYmJiYmJiYmJiYnbLJ4uY/ef7yadRDeLjScP68wNS494673G
5y+/aK2GSkVde93tKg106ZqrNukrX79HD27bOeHfM7fgaMf+6a0KAAAAAACApvIIfet7D+rdbz9D
n/34ZZKk67+29aiJPgAAAAAAM0VlP4Wo7AMAAAAAZoIBfQAAAAAAtBiSfQAAAAAAWgzJPgAAAAAA
LYZkHwAAAACAFkOyDwAAAABAiyHZBwAAAACgxZDsAwAAAADQYkj2AQAAAABoMST7AAAAAAC0GJJ9
AAAAAABaDMk+AAAAAAAthmQfAAAAAIAWQ7IPAAAAAECLIdkHAAAAAKDFkOwDAAAAANBiSPYBAAAA
AGgxJPsAAAAAALQYkn0AAAAAAFoMyT4AAAAAAC2GZB8AAAAAgBZDsg8AAAAAQIsh2QcAAAAAoMWQ
7AMAAAAA0GJI9gEAAAAAaDEk+wAAAAAAtBiSfQAAAAAAWgzJPgAAAAAALYZkHwAAAACAFkOyDwAA
AABAiyHZBwAAAACgxZDsAwAAAADQYkj2AQAAAABoMST7AAAAAAC0GJJ9AAAAAABaDMk+AAAAAAAt
hmQfAAAAAIAWQ7IPAAAAAECLIdkHAAAAAKDFkOwDAAAAANBiSPYBAAAAAGgxJPsAAAAAALQYkn0A
AAAAAFoMyT4AAAAAAC2GZB8AAAAAgBZDsg8AAAAAQIsh2QcAAAAAoMWQ7AMAAAAA0GJI9gEAAAAA
aDEk+wAAAAAAtBiSfQAAAAAAWgzJPgAAAAAALYZkHwAAAACAFkOyDwAAAABAi3GS3gG0FucLn5I5
YbXGPvNFlb90Q91z9kfeJ+t151UfGBnR2Ef+VuVbbpvS1wAAAAAAJkayj1AclqQ3sN5yxeHP53Ky
P/QeSVL5lttkSgMya46d8GsAAAAAAEfHMn7MmPOFT02Y6PvK37xVh9ZfqEPrL9TYBz8hjYxIuZys
yy8OvsZ97EmNbnmzDq2/UKNvfqe0Z6+Uy8mcflLShwkAAAAATYPKPsKxZ6/GPnGt7PdfI/UUD3u6
cUm/+/ivpVe9ZD94bNdujf3JR4LYDC+QOnLSyIjcH/1X0kcIAAAAAE2DZB8zNvq2P5YkmRXHTPrP
mA3rgzcFyrf/JHjc2nK2t2y/5k2Asc98kSX8AAAAADAFLONH7Ky3XCH7XW+VJLlPbpf7zVsn/vpL
LpApDSS92wAAAADQNEj2ESvnC5+qS/THfv9P5e7aHTxfvuU2HTr9krqefbNovuxPfDDpXQcAAACA
pkGyj1iY0oCcr31B5oTVkryl+aOXvq0u0W/kPvSIynf81Av6eqjuAwAAAMAk0bOPWFjveqvMovnS
yIjGPvK34/bgW2+5QlJ1mJ9ZcYysTad4T764Z8I3BgAAAAAAVST7iJwpDcisOdYLcjnZH3u/7I+9
P3je/fn9wZA/+11vDZb5B0ZGVL7xG0kfBgAAAAA0DZbxIzXcu7ZKe/bWP7hnr0av+mOm8QMAAADA
FBi7/3w36Z1AvbkFRzv2jya9GwAAAACAJkVlHwAAAACAFkOyDwAAAABAiyHZBwAAAACgxZDsAwAA
AADQYkj2AQAAAABoMST7AAAAAAC0GJJ9AAAAAABaDMk+AAAAAAAthmQfAAAAAIAWQ7IPAAAAAECL
IdkHAAAAAKDFkOwDAAAAANBiSPYBAAAAAGgxJPsAAAAAALQYkn0AAAAAAFoMyT4AAAAAAC2GZB8A
AAAAgBZDso/YOcokvQsAAAAA0NJI9hG7jLJJ7wIAAAAAtDSSfcSOZB8AAAAAokWyj9iR7AMAAABA
tEj2EbuMcknvAgAAAAC0NJJ9xI7KPgAAAABEi2QfsSPZBwAAAIBokewjdiT7AAAAABAtkn3Ejp59
AAAAAIgWyT5ilzFU9gEAAAAgSk7SO9BMrrlqs4rdOX368z/U/gMHJUmlgS699+qzVOzqkCTdduc2
3XjzvXV/ZtXyoXGfa1cs4wcAAACAaJHsT8LlF63V2RuX6YGHdx723Bu2rNE//evdenDbziDx37Fz
r+68+3FdftFaFbtzet9Hb1K+M1v3XDsj2QcAAACAaLGMfxJuvPle/eEHvqp77tt+2HOfu/7HenCb
9ybArt37tH3HHs0dKqqQz2rZkpJ+cNej2n/goHbt3qet9/5a69bMT/pwEufQsw8AAAAAkSLZD1Fp
oEvz5/Zox869ynd61euHH9sVPL9j514Vu3Mq5Nu7sk1lHwAAAACiRbIfkkI+q3dceZq279ijO+9+
XIP9BeWydEmMhwF9AAAAABAt2+pc+uGkd6JZLJzXp8UL+vWTnz2pQ4fGgsdXLhvS+/7wHN17/9P6
0r/+VJJkjNHa1XP1s19u14FXDk745xvN68ooaxuNuq5Gy1JvzlZ/h90y8QnOeu3tfFCH3HIq9oeY
mJiYmJiYmJiYmDit8XQZu/98N+kkullsPHlYZ25YWjeNf+PJw7r4gtX6m3/4vnbt3hd8bWmgS9dc
tUlf+fo9QU//5Ret1VCpqGuvu33Cv2duwdGO/aNJH25kLrHepv8o/7MOaSTpXQEAAACAlsQy/hko
5LM6c8NSfeM799cl+pI3rO++Xz2jczctl+Ql/2uOnaPv3vFw0rudOLvyfwAAAACAaNBUPgP5zqyK
3R268tL1uvLS9cHjDzy8U9ded7u+9b0H9e63n6HPfvwySdL1X9saVPnbmWVsWST7AAAAABAZlvGn
UKsv47/cvka3lP9ZL7svJb0rAAAAANCSWMaP2Fmisg8AAAAAUSLZR+xs48imgwQAAAAAIkOyj9hR
2QcAAACAaJHsI3ZM4wcAAACAaJHsI3ZU9gEAAAAgWiT7iJ1lqOwDAAAAQJRI9hE7S7Ysw4A+AAAA
AIgKyT5i503jp7IPAAAAAFEh2Ufs6NkHAAAAgGiR7CN2JPsAAAAAEC2SfcTOMrZsQ7IPAAAAAFEh
2UfsbCr7AAAAABApkn3EzlvGzzR+AAAAAIgKyT5iZxmbafwAAAAAECGSfcTOki2Lnn0AAAAAiAzJ
PmJnG4fKPgAAAABEiGQfsePWewAAAAAQLZJ9xM4yLOMHAAAAgCiR7CN2lmzZTOMHAAAAgMiQ7CN2
tmEZPwAAAABEiWQfsWMaPwAAAABEi2QfsbOYxg8AAAAAkSLZR+yYxg8AAAAA0SLZR+yYxg8AAAAA
0SLZR6ws2TKyqOwDAAAAQIRI9hErW7ZkJNtw6z0AAAAAiArJPmLlLd93qewDAAAAQIRI9hErL8k3
JPsAAAAAECGSfcTKliNXYkAfAAAAAESIZB+xskylZ5/KPgAAAABEhmQfsfKW77tU9gEAAAAgQiT7
iJU3jd/IEtP4AQAAACAqJPuIlSWbnn0AAAAAiBjJPmLlJ/n07AMAAABAdEj2EStbjujZBwAAAIBo
kewjVt40flMZ1AcAAAAAiALJPmJFzz4AAAAARI9kH7HypvGLafwAAAAAECGSfcTKq+jTsw8AAAAA
USLZR6y8Xn0jm2QfAAAAACJDso9Y2XLkymVAHwAAAABEiGQfsQqm8VPZBwAAAIDIkOwjVl5Fn8o+
AAAAAESJZB+xorIPAAAAANEj2UesbNmVnn1uvQcAAAAAUSHZR6ws40iisg8AAAAAUSLZR6yCnn2S
fQAAAACIDGupESu/Z99mQB8AAAAARIbKPmLFNH4AAAAAiB6VfcTK9qfxk+wDAAAAQGSo7CNWFtP4
AQAAACByJPuIFdP4AQAAACB6JPuIFdP4AQAAACB6JPuIld+zb4wlw7cfAAAAAESCbAux8nv2pUri
DwAAAAAIHck+YmVVKvuSmMgPAAAAABEh2UesvF59r7bPRH4AAAAAiAbJPmLlJfhGMizjBwAAAICo
kOwjVpap9uyzjB8AAAAAokGyj1gFPftG3H4PAAAAACJCso9YedV8v2efZB8AAAAAokCyj1jZtdP4
qewDAAAAQCRI9hErS07Qs28zjR8AAAAAIkGyj1h51Xx69gEAAAAgSiT7iJWX4NOzDwAAAABRItlH
rJjGDwAAAADRI9lHrCzZQc8+lX0AAAAAiAbJPmJlGSeYxm9T2QcAAACASJDsI1b1PftM4wcAAACA
KJDsI1be0n169gEAAAAgSiT7iJVlanr2SfYBAAAAIBIk+4hV3TR+BvQBAAAAQCRI9hErv2e/+jkA
AAAAIGwk+4hVUNmXZFPZBwAAAIBIkOwjVpa8nn1XldvwAQAAAABCR7KPWHkJPtP4AQAAACBKJPuI
VV3PPsv4AQAAACASJPuIVW3PPpV9AAAAAIgGyT5iFfTss4wfAAAAACJDso9YWZYt41f2xYA+AAAA
AIgCyT5iZcmpzOKnsg8AAAAAUSHZR6y8BJ9p/AAAAAAQJZJ9xMbIyBhLqtT2mcYPAAAAANEg2Uds
gko+0/gBAAAAIFIk+4iNP5DPlcsyfgAAAACIEMk+YmMZWzJS5X9I9gEAAAAgIiT7iI1lbG8Ov/F7
9rn1HgAAAABEgWQfsbFVU9lnGT8AAAAARIZkH7Hxk3uvrk+yDwAAAABRIdlHbIJb7TGNHwAAAAAi
RbKP2FjGqdT0Xbks4wcAAACAyDAhbQquuWqzit05ffrzP9T+AwfrHl+1fEiSdNud23TjzfdO6rl2
0ziN3zZ8+wEAAABAFMi2JuHyi9bq7I3L9MDDO8d9rtid0/s+epPynVm99+qztGPnXt159+MTPteO
/GX8rlwZGRlR2QcAAACAKLCMfxJuvPle/eEHvqp77tte93ghn9WyJSX94K5Htf/AQe3avU9b7/21
1q2ZP+Fz7aquss8yfgAAAACIDMn+DOQ7s5Kkhx/bFTy2Y+deFbtzGugrHPG5Qj6b9K4nwjJ2tWdf
JPsAAAAAEBWS/RkY7C8olx2/E2KgL3/E59pV7TR+I5J9AAAAAIgKyf4MPP/Cfo0cHB33ud0vHjji
c+3Kqgzkc5nGDwAAAACRsq3OpR9OeieaxcJ5fVq8oF8/+dmTOnRoTIV8VqeftFiPPbVbz7+wX5J0
2omLlHEc/fz+p4/43NEG9M3ryihrG426rkbLUm/OVn+H3fRxwZ6j1d3nSTIyRto39rx+vufbqdk/
YmJiYmJiYmJiYmLitMXTZez+892kk+hmsfHkYZ25YWndrfcuv2ithkpFXXvd7SoNdOmaqzbpK1+/
Rw9u2znhcxOZW3C0Y3/rrQpYWjhJvzHvL6XKNP7trzyoL/363UnvFgAAAAC0HJrKZ+hb33tQ7377
Gfrsxy+TJF3/ta1BMj/Rc+3IUmUav1uZxm+xjB8AAAAAokBlP4VatbK/omujLpv353JdV8YY7Xz1
UX3+yT9IercAAAAAoOUwoA+xCQbyGVOJWVgCAAAAAFEg2UdsLGPLW0biBjEAAAAAIHwk+4iNZZxK
Ub/Ss09lHwAAAAAiQbKP2FiqVPaNK1dU9gEAAAAgKiT7iI1lKtP4g8o+yT4AAAAARIFkH7Hxk3uX
nn0AAAAAiBTJPmIT9OgzjR8AAAAAIkWyj9jUTuOnZx8AAAAAokOyj9jQsw8AAAAA8SDZR2wae/YN
yT4AAAAARIJkH7GxjONV9o1X2TfGkuFbEAAAAABCR6aF2Fiq79mXWMoPAAAAAFEg2UdsgsS+Mo1f
RrKZyA8AAAAAoSPZR2z8W+25NfV9KvsAAAAAED6SfcSmcRq/jCHZBwAAAIAIkOwjNpap9Oybam3f
Esv4AQAAACBsJPuITTCN36/si8o+AAAAAESBZB+x8RN7evYBAAAAIFok+4jN4dP4qewDAAAAQBRI
9hGboGe/prZvces9AAAAAAgdyT5iQ88+AAAAAMSDZB+xOaxn37iyRLIPAAAAAGEj2UdsLGN7FX1T
W9lnGT8AAAAAhI1kH7EZv2efyj4AAAAAhI1kH7EJqvhM4wcAAACASJHsIzamsWefyj4AAAAARIJk
H7GxLbtuGr+hZx8AAAAAIkGyj9gY4wQ1fakyjZ/KPgAAAACEjmQfsQkSe2PkBtP4SfYBAAAAIGwk
+4iNf+s9v2ffm8bPMn4AAAAACBvJPmLDNH4AAAAAiAfJPmJjGbu+Z59p/AAAAAAQCZJ9xMZfxu9P
46dnHwAAAACiQbKP2JhKYu8GXfv07AMAAABAFMi0EBvL8r7djKGyDwAAAABRorKP2DRO46dnHwAA
AACiQbKP2AQD+uqm8bO4BAAAAADCRrKP2Jigil/bs09lHwAAAADCRrKPWBi/P59p/AAAAAAQOZJ9
xMIyjlxT7dWXJNdQ2QcAAACAKJDsIxZeUl/t1a9W9unZBwAAAICwkewjFl6yXzuH39saKvsAAAAA
EDrKqoiF169fqezXVPgti2QfAAAAAMJGZR+xsIwzTl3fZRk/AAAAAESAZB+xCHr2mcYPAAAAAJEj
2UcsjtSzT7IPAAAAAOFjDTViYRmn2rPPNH4AAAAAiBSVfcTCMrZXzzf19X2m8QMAAABA+Ej2EYu6
afyGafwAAAAAECWSfcTC0LMPAAAAALEh2UcsvN788abx07MPAAAAAGEj2Ucsgp591df3qewDAAAA
QPgoqyIWh/Xs+5V9evYBAAAAIHRU9hELb7n+4bV9pvEDAAAAQPio7CMWllVT2VfNNH569gEAAAAg
dFT2EQt69gEAAAAgPiT7iIWX1JugqE/PPgAAAABEh2Qfsajv2VdNzz7L+AEAAAAgbCT7iEXjNH5j
VOnZp7IPAAAAAGEj2UcsvKn7rmS8+r5f2SfZBwAAAIDwkewjFpZxair7lQeNkWWxjB8AAAAAwkay
j1j40/jdmsdcuZWKPwAAAAAgTCT7iIU3db/Sqx9M5WcaPwAAAABEgWQfsaifxu/WTOMn2QcAAACA
sJHsIxamZhq/W9uzz633AAAAACB0JPuIhd+zH6hM5WcaPwAAAACEj7IqYmFZ1cp+MI7fGJJ9AAAA
AIgAlX3E4kg9+27wHAAAAAAgLCT7iIVXwTdBUV81U/mp7gMAAABAuEj2EQtT07Pvd+77Mck+AAAA
AISLZB+xsCyn2rPfsLUslvEDAAAAQJhI9hELr3pf06tvpGrPPpV9AAAAAAgTJVXEwjI10/j9dfyV
2JDsAwAAAECoqOwjFsaq6dkPcn569gEAAAAgCiT7iIV3ez1TN4W/Oo2fBSYAAAAAECaSfcTisJ79
mi2VfQAAAAAIF8k+YmGsmp594z9YmcZPsg8AAAAAoSLZRywsU9OzX3ks6Nm3SPYBAAAAIEw0SyMW
luXUTOOv6dmXZOjZBwAAAIBQUdlHLExtz76hZx8AAAAAokSyj1jUT+NXwzR+kn0AAAAACBPJPmIx
Yc8+y/gBAAAAIFQk+4iFVTeNv35rGNAHAAAAAKEi2Ucs6nr25co1Ej37AAAAABAN1k8jFvXT+CsP
VmKW8QMAAABAuKjsIxZmop59lvEDAAAAQKhI9hELy7Jl/Gn8xlQG8Ve2LOMHAAAAgFCR7CMW/jT+
2tq+S88+AAAAAESCZB+xMLU9+6aS7vs9+xY9+wAAAAAQJpJ9xMKqTOOXqj37/mcs4wcAAACAcFFS
RSwsy66Zxl/p3Zc/jZ9kHwAAAADCRGUfsTDGqfbsG3r2AQAAACBKVPZnqJDP6t1vP0Pz5/RKkh54
eKeuve724PlrrtqsVcuHJEm33blNN958b9K7nAjv9nqVir6rytaL6dkHAAAAgHBR2Z+hq644VXtf
HtEffuCr+vO/vkXz5/Zo48nDkqTLL1qrYndO7/voTfrzv75F69cuCJ5rN6ahZ7+2e5+efQAAAAAI
F8l+CO65b7skadfufdq+Y4/mDhVVyGe1bElJP7jrUe0/cFC7du/T1nt/rXVr5ie9u4mwaqbx+637
1Wn8JPsAAAAAECaS/Rn67h0P67T1i1XIZ1Ua6FKxO6fv3/Wo8p1ZSdLDj+0KvnbHzr0qdudUyGeT
3u1Y+T35bsM0fj+mZx8AAAAAwkWzdAjmz+nRJ//sEknS9mde0oFXDmrhvD7lspxeqbJMvzJ935Wq
PfuV2NCzDwAAAAChsq3OpR9OeieaVSGf1VuuOEX33v+0Pvn3t+mb331Aa1fN07o183X3z5/S2tVz
9bNfbteBVw5KkhbO69PiBf36yc+e1KFDY0f8787ryihrG426rkbLUm/OVn+H3bTxQGenjl10hfws
35vIX53Ut3ffQzp04N7U7C8xMTExMTExMTExMXFa4ukydv/57vT/eHtbuWxIv/H6dbr2uju0a/c+
SdLGk4d15oal+uf/u1Vv+81T9ZWv36MHt+2U5A3sGyoV66b1j2duwdGO/aNJH15ocplu/fa5/7dm
Cr/rJfuV+P4n/k13/ervk95NAAAAAGgZ9OzPwFNPv6iRg6M6a8PS4LF1a+Zr78sjeurpF3Xfr57R
uZuWS5JKA11ac+wcffeOh5Pe7dgdrWefZfwAAAAAEC6yrBnYf+CgPnf9j/Xeq8/S2RuXSZIeeHhn
ULn/1vce1LvffoY++/HLJEnXf21rUOVvJ8Gt9fwx/I3T+BnQBwAAAAChItmfoV279+n9H7t53Of2
Hziov/y7W5PexcRZlhPU9N1Kpl8bG269BwAAAAChItlH5KyaafyS6qbxe8/zbQgAAAAAYaJnH5Ez
jT37Qc7vxRaVfQAAAAAIFck+ImdZNZX9oF+/Ght69gEAAAAgVCT7iJxlanv2VfmsGlPZBwAAAIBw
kewjckEyf4Rp/IaefQAAAAAIFck+IndYz37lcXr2AQAAACAaJPuInGUcevYBAAAAIEYk+4icZdle
Dd809Owbv2efZfwAAAAAECaSfUTOsjL1lX3/oxLbVibpXQQAAACAlkKyj8j5lfsj9ewbKvsAAAAA
ECqSfUTO8qftH2Eav02yDwAAAAChItlH5CwrE9T063r2KzGVfQAAAAAIF1kWImdbNdP4JS/Tr4np
2QcAAACAcFHZR+To2QcAAACAeJHsI3J10/j9TW1l3ybZBwAAAIAwkewjcpblVHv0a1by+7ExJPsA
AAAAECaSfUTOspxKIb9a2a+NbZuefQAAAAAIE8k+Ildb2ff/tzamZx8AAAAAwkWyj8j5PftuUNLX
YbFFwg8AAAAAoSHZR+TqevYrjzXGJPsAAAAAEB6SfUTOshyvPb+2Z78htgx9+wAAAAAQFpJ9RK6u
Z9809OxXYpvKPgAAAACEhmQfkbOsStW+ppLfGLOMHwAAAADCQ7KPyPmJvFvTo98YB28IAAAAAABm
jGQfkfOn8UsmKOY3xlT2AQAAACA8JPuIXNCzbxqm8Rum8QMAAABAFEj2ETnLcoJKvvxNQ8wyfgAA
AAAID8k+Ilfbs+9tdVhMZR8AAAAAwkOGhchZdsM0fl9NzK33AAAAACA8VPYROcs4QQ2/rmdf9OwD
AAAAQBRI9hE5y3aC9vwjbenZBwAAAIDwkOwjctWefR1xS2UfAAAAAMJDhoXIWVZmEtP4+VYEAAAA
gLBQ2UfkLKumZ7+S3zfGLOMHAAAAgPCQ7CNyll2p2k/Qt09lHwAAAADCQ7KPyNGzDwAAAADxItlH
5Op69uuq+oZp/AAAAAAQAZJ9RM7U9uxXHmuMqewDAAAAQHjIsBA5y85UK/pSzTT+akyyDwAAAADh
obKPSBljyRjv24yefQAAAACIBxkWImVZTk2fvql/sia2bHr2AQAAACAsVPYRqfpJ/PTsAwAAAEAc
SPYRqSCJr5vCf/iWZB8AAAAAwkOyj0hZVmbCXn1/a0j2AQAAACA0ZFiIVNCzbyTjl/HHiW169gEA
AAAgNFT2Eana5fmuXLk1M/pqYyr7AAAAABAekn1EyrIykqks2a/p02+MLYvKPgAAAACEhWQfkbIs
Z1I9+wzoAwAAAIDwkOwjUrXT+I33P+PGlk2yDwAAAABhIdlHpA7r2a95rjamsg8AAAAA4SHZR6T8
nn1JE27p2QcAAACA8JDsI1KW7fXs10/hPzxmGj8AAAAAhIcMC5GyLEcmqOB7nwR5fk1Mzz4AAAAA
hIfKPiJlWZmaqftuZXt4zDJ+AAAAAAgPyT4iVTuNX6pZvt8QU9kHAAAAgPCQYSFSluXUTeCXNG7M
NH4AAAAACA8ZFiJl2RmvNd/I/59xY8tmGT8AAAAAhIVl/IiUqansT9SzzzR+AAAAAAgPyT4iVbc8
P6joHx6zjB8AAAAAwkOyj0hZliOZ2mq+xo1J9gEAAAAgPCT7iFTQi+/36NdN46/G9OwDAAAAQHhI
9hEpy85MqmdfxsiySPgBAAAAIAwk+4iUbecaqvlH3tpONundBQAAAICWQLKPSNm2l8C7lYQ+qOqP
E/tfCwAAAACYGaaiIVK2U1vZN/VPNsS2nUt6dwEAAACgJVDZR6QsOzu5nv3K1wIAAAAAZo5kH5EK
+vAn0bfPMn4AAAAACAfJPiIV9OxX4om2DOgDAAAAgHDQs49Ijduzf4SYnv30MSuOkfP3H5d6isFj
Y5/5ospfusF7vjQg+x//SmbR/HGfBwAAAJAMkn1Eyu/ZN0ZyXVdG5ogxy/jTxXrLFbLf9dYjPj9e
oi8p+DMk/AAAAEBySPYRqbql+X5F3x0/tljGnxpmxTGyf+cySZL78/s1+rY/PuxrrHe91Uv0R0Y0
9pG/lbv1F0Hyb11ygdxv3ip31+6kDwUAAABoS/TsI1JWZWn+pHr2WcafGtaVb5R6inKf3K6x939s
3K8x8+ZIktwHH1H5ltvk7tqt8k3f8Z7rLUr9fUkfBgAAANC2SPYRKdvJehX82un7R4hZxp8eQSJ/
369kf+KDymz9tjJbvy3nC5/yni8NSH093tc8/Uz1Dz77nDQyInXkZIYXJH0YAAAAQNsi2Uek/J59
6ejVfZbxp0NtIm+97jyZE1ZXnzthtZfw9/d51XsAAAAAqUSyj0jVT+OfeMsy/vRxn9yu0S1v1qH1
F6r8zVslyavY9/XIfWlv0rsHAAAA4AhI9hEpq7I0f1I9+1T2U8HdtVt6cY/3+X2/CobsuY89Ne7X
+0v+JUmzZ0m5nPTqiNzHf530oQAAAABti2QfkbHtalXfNPTqjxdb9Oynht+Hb206RWbFMd7nm0/1
nntpr/ToE3Lv+5Ukyaw8RtaWs2VKA7IuucD7msd/LfehR5I+DAAAAKBtces9RMav1Lum/vEjxVT2
06N8/b/J2nSK1FOU8+X/Vf/cTd/xJu/XfI39sfdXv2BkROUbv5H0IQAAAABtjco+ImPZ2bq+fLey
PVJMz356uA89otErrpb75PbqgyMjGvvgJ1T+0g3Vr/mDD0h79tZ/zUf+VuVbbkv6EAAAAIC2RmUf
kbGnMInfFdP408bdtVujl75t4q956BEdOufypHcVAAAAQAMq+4iM7VQq9aZSwK+p4o8X2/TsAwAA
AEAoqOwjMo2T+H1Hii2HZfwAAAAAEAYq+4iM7dT37B9ty4A+AAAAAAgHlX1ExrZzdVX8o03l59Z7
AAAAABAOKvuIjOVkZYy86n0lsZ8otlnGDwAAAAChINlHZKY8jZ/KPgAAAACEgmQfkfEH7rkN/flH
iunZBwAAAIBw0LOPyNRW9qWjT+W3SPYBAAAAIBRU9hEZ2+/Zl4K+/IlievYBAAAAIBwk+4iM5Vf2
TUOP/hFievYBAAAAIBwk+4iM7eSCvvzJbC3bkTF8SwIAAADATNGzH4LSQJfee/VZKnZ1SJKu/9pW
3Xn345Kka67arFXLhyRJt925TTfefG/SuxsbvwfflZfTT2ZrOVmNHXo16V0HAAAAgKZGsj9DpYEu
XXPVJv3Tv96tB7ftrHvu8ovWqtid0/s+epPynVm99+qztGPn3uCNgFYXTNefQnXftnMk+wAAAAAw
Q6yZnqGzNizVfb965rBEv5DPatmSkn5w16Paf+Cgdu3ep633/lrr1sxPepdjY9VM45/sltvvAQAA
AMDMUdmfgUI+q4Xz+/Xc8y/rsx+/TJK0/ZmX9OnP/1D5Ti9pffixXcHX79i5V8uWlFTIZ7X/wMGk
dz9yQc/+FNbxM6QPAAAAAGaOyv4M5DuzKg0U1NPdqT/8wFf1vo/eJEl67TkrNdhfUC7b3u+l+Il7
UL2vLNefKOb2ewAAAAAwcyT7MzQyMqrv3vGwJGn/gYP6wV2PatmSkvYfOKiRg6NJ716ibCfrVez9
D+moMZV9AAAAAJg52+pc+uGkd6JZGSMdt3Kutj2+S8+/sF+StHBenxYv6NcvHnxGJ5+wUI89tTt4
7rQTFynjOEcd0DevK6OsbTTquhotS705W/0ddtPFA8suVEf37OrJmsT26W3fU+7g86nYf+Ijx7Nz
XRpxD6Vmf4iJiYmJiYmJiYlbNZ52vmr3n+9O/4/j8ovWatmSkj79+R9Kkt799jO07bFduvHme3X5
RWs1VCrq2utuD6b2f+Xr9xw2zK/R3IKjHfubf1XAxks/rb6hlZpK0/5Pv/k/9dxTdye96ziKfs3S
C3ou6d0AAAAAcAQs45+hG2++V3tfHtEn/+wSffLPLtHel0d04833SpK+9b0HVezO6bMfv0x/8Sdb
9J0fPHTURL+V+JP1pzKRn2X8zSGv7qR3AQAAAMAE2nuCXEiuve72cR/ff+Cg/vLvbk169xJjNU7j
900Qc+u95pBXV9K7AAAAAGACVPYRGcvOTqmqL0kWyX5TyBsq+wAAAECakewjMkGVvnb6/lFibr3X
HKjsAwAAAOlGso/IWJVb79VV748S07PfHKjsAwAAAOlGso/IWH6V3q/iT2LLMv7mwIA+AAAAIN1I
9hEJy3JkLEuN93U8Wswy/ubQaVjGDwAAAKQZyT4iYdX260tyG6r4R4qp7DcHlvEDAAAA6Uayj0jY
TjZI4IOe/EnE9Ow3B5bxAwAAAOlGso9IWHbOK9qb6sdkYjvDMv5m0GmxjB8AAABIMyfpHUBrsp3s
lPv1mcbfPKjsAwAAAOlGZR+R8G+7J2lKW5ue/aZAZR8AAABIN5J9RCK47Z5cuaqt4k8cM6Av/SxZ
6jTdsvjxAQAAAKQWr9YRiaBCbypl+6B6P3Fs0bOfehnlJFPZAgAAAEglkn1EwnY6qrfXq5hMbDsd
Se86jiJjvHkMGcMqDAAAACCtSPYRCTvjJe2uVK3iTyJmGn/6UdkHAAAA0o9kH5GwG3v2g4R+4th/
kwDpRWUfAAAASD9uvYdI2JmOSsXeyPjj9yYRU9lPP4fKPgAAAJB6VPYRCSuTCybsT2Vr0bOfehmT
lWskh8o+AAAAkFok+4hEMGgvmLo/ua2dyVUn9COV6NkHAAAA0o9kH5Hwl+O7lbp9tXp/9JiJ/OlG
zz4AAACQfiT7iERtz76Mqh+TiOnbT7eMqVT2DdcJAAAASCuSfURiuj37kqjsp5yjrGQqWwAAAACp
xDR+RKJa2Vc1i59kTGU/3arL+LlOAAAAQFpR2Uck/Oq8K1cyDT36R4ntDJX9NHMqy/iZxg8AAACk
F8k+IhFU5/3J+sHU/aPHlkPFOM38W+8xoA8AAABIL5J9RMLKdEy/Z5/Kfqr5y/dZxg8AAACkF8k+
IlHXsz/FLT376eZUKvss4wcAAADSi2QfkbAqCbtbqde7lUR+MjHT+NPNMZVp/FT2AQAAgNRiGj8i
Ua3sGwUL9CcZWyzjT7WMydGzDwAAAKQclX1Ews7kZtCzT8U4zfzl+yzjBwAAANKLZB+RCKrz0+jb
Z0BfulUr+7wpAwAAAKQVyT5CZzm54JZ6QU9+5bnJxBaV/VSjsg8AAACkH8k+Qhcsw/d78uuq90eP
qeynm2PlvAF9Fm/KAAAAAGlFso/Q+cP56nrxpxDTs59u3HoPAAAASD+m8SN0tlNb2Vc1i59kzDT+
dMtUbr1Hzz4AAACQXlT2ETor01Hfk280pTh4swCp5FjenRYci8o+AAAAkFYk+widncnV9OFXPplC
bGWp7KeZU6nss4wfAAAASC+SfYSuccCe2/D80WJ69tPNsbKVyj7XCQAAAEgrkn2Ezu+5d+um7E8+
Zhp/ujkmR2UfAAAASDmSfYTOzuTqe/KlKcUWlf1Uc6zKNH569gEAAIDUItlH6OxMh9eKb+T15BtN
Kaayn162cWQZRzKSZRzZhht6AAAAAGlEso/QWTWVfcmr2k8l5tZ76eWYnNzKegzXVJb0AwAAAEgd
kn2Ezs501EzXn/qWZfzplTHZYDVGEAMAAABIHZJ9hM5P1r2KfbVmP9nYWLYsO5P0YWAcjsnKNbWV
fZJ9AAAAII1I9hG6oOfeVP6nrno/uZjqfjplTK5a2TeVGAAAAEDqkOwjdFYmV72tXsVUY4b0pZNj
sl7PvqnGAAAAANKHZB+hq6vsm5rhe1OIbSr7qeTUVPYZ0AcAAACkF/fNQuhqe/YlN1imP5WYifzp
lLGylTkLRjKuMhaVfQAAACCNqOwjdLXT+I3xP5lazDL+dKqv7Bsq+wAAAEBKkewjdFYmFyzNd6v1
+inFDOhLp9pp/H4MAAAAIH1I9hE6OzvzafxU9tPJsRp69i3elAEAAADSiGQfofP77f2afbVqP/mY
yn46ZUxWCqbxu5UYAAAAQNqQ7CN0ViYXTNZXbU/+FGIq++nkWDm5lcq+jKGyDwAAAKQUyT5CZ2c6
6nvwjaYcU9lPJ8fKSpWefW8ZP5V9AAAAII1I9hE6K5ur6cOvn7Y/2Tjo+0eqOCYn15+zYMQ0fgAA
ACClSPYRKmPZMnZG0kx79kn206iusi+Xyj4AAACQUiT7CJWdyU1r+n5jbLOMP5UyDT37GXr2AQAA
gFQi2Ueogkn8lQTer9tPNaayn07eQD5vGr8rbr0HAAAApBXJPkJVN0W/dtr+FGM7SxKZRvXT+En2
AQAAgLQi2UeorExuWj36jTGV/XRyTO00fteLAQAAAKQOyT5CZWc7gqqvJK9SP43YJtlPJcfO1Vwz
48UAAAAAUodkH6EKevYrcdCTP8XYYhl/Knm33qvp2efWewAAAEAqkewjVHa2M5xp/Ll80oeCcQSV
fcnr2aeyDwAAAKQSyT5CZec6w+nZz3YmfSgYh2Nlayr7rhyLnn0AAAAgjZykdwCtxfaT9GDIvpFc
d8qxkyPZTyPHqunZl2EaPwAAAJBSVPYRqrpl/KrU6acRU9lPJ+/We5U1GMYl2QcAAABSimQfofJ7
7d3a6frTiK1sh4zh2zNt/Mq+60/jJ9kHAAAAUolsCqGysuH07Ete/z/SxbazweoLV65sm559AAAA
II1I9hEqO1ddxm8apu1PNWYpf7pYxpZlnLrKvmUcWcZOetcAAAAANCDZR6jsmgTdVW2dfuqxTbKf
Kl6/fvUa+VP5WcoPAAAApA/JPkIVLL1v6MGfTswy/nTJmJx3nWoq+zKVxwEAAACkCrfeQ6jsXLVn
30vg3WnHdjaf9OGghmPlvGtjXBmZylR+hvQBAAAAaURlH6Gyc/lK9bfygH9P9mnEVPbTxbGy41b2
HYshfQAAAEDakOwjVFZDz74aevKnEtOzny7ebfdUN41f9OwDAAAAqUSyj1DVTuP3EkIz7ZjKfrpU
l/FXK/uuSPYBAACANCLZR6isbGdlqr7PnXbMrffSpa6yr9rKPsv4AQAAgLRhQB/CY4xXjXfdarVe
RmaaMZX9dHGsrFfRl6nbUtkHAAAA0ofKPkLj9dhXp+nX1H+nFdOzny5+Uu9N4a9uSfYBAACA9CHZ
R2i8fv3pT99vjK0ct95LE8fOVXv1a7Yk+wAAAED6kOwjNHa2s6afW5Xt9GOW8aeLf+u9xmn8tk3P
PgAAAJA2JPsIjZXrlBqm688kJtlPF9uqVvZFZR8AAABINZJ9hCbsnn2m8adL0LPv3zGBnn0AAAAg
tUj2ERo7l/eqvlJ9D/40Yyr76VLt2VewCsM13uMAAAAA0oVkH6E5rGffaEaxRbKfKo7l9ea7Rg2V
fXr2AQAAgLQh2UdorJCn8dtM408V284Fvfq1W5vKPgAAAJA6JPsIjbfsnp79VuVUBvS5cuu29OwD
AAAA6UOyj9DYYU/j7yDZTxMnqOyrrrJPzz4AAACQPiT7CI1V17Mfztamup8atpX1evVV7dl3K48D
AAAASBeSfYSmfhp/TV/3DGKG9KWHc4SefSr7AAAAQPqQ7CM0Vsg9+664/V6a2HauWtE3kn+tGNAH
AAAApA/JPkJT17Pv9+HPMCbZT4+6nn1JLpV9AAAAILVI9hEaK9cZ3Hs96L2fYWxluf1eWthWtjKF
X9XKvqFnHwAAAEgjkn2Epn4afzhbKvvp0dizT2UfAAAASC8n6R1oJddctVnF7pw+/fkfav+Bg8Fj
q5YPSZJuu3Obbrz53qR3MzK1PftGqmxnFpPsp4ffsy/jypUJtvTsAwAAAOlDsh+SlcuGtHTxgHbt
3hc8dvlFa1Xszul9H71J+c6s3nv1Wdqxc6/uvPvxpHc3EsE0ftetyd5nFjONPz38yr7rVi6TjIwY
0AcAAACkEcv4Q1DIZ/Xac1fpZ7/cXvfYsiUl/eCuR7X/wEHt2r1PW+/9tdatmZ/07kbGynVUe+/l
Jewzjansp4dtZ4N+/drJCrZNzz4AAACQNiT7IXjtOSs1MjKqx57cHTyW7/QSoIcf2xU8tmPnXhW7
cyrkWzM5Cir7fl+3NOPYyjGgLw0cKxf06Df27MsYORbVfQAAACBNSPZnaOPJw1q2pKTrbvhJ3eOD
/QXlsu3TJWFlOyoJul+b980sprKfDt4QPrduCn/tliF9AAAAQLqQ7M9AaaBLF5y5Qv/2H78MBvL5
nn9hv0YOjia9i7Gxc52VxM+fpq9QYnr208G77Z5f0VddZZ/b7wEAAADpY1udSz+c9E40q9edu1Kr
V8zRqesW6XXnrdLxK+eq2N2hMzcs1Y5n9+jYY4b02FO79fwL+yVJp524SBnHOeqAvnldGWVto1HX
1WhZ6s3Z6u+wUx0PDgyqcOoloZ/jkV3b5W77ceLH1+7x7K4BDc+5WPW3RnSDePcLt+iVQ3tTs7/E
xMTExMTExMTErRJPl7H7z3en/8dRa+PJwzpzw9Lg1nuXX7RWQ6Wirr3udpUGunTNVZv0la/fowe3
7ZzwvzO34GjH/uZaFZCft1Sr3v3ZYJq+MUZuMLZ9+vFLD9ylR7704aQPr+0NdC/Rm077B0kKbo3o
cyV97cdXa/fLjyW9mwAAAAAq2qepPAHf+t6Devfbz9BnP36ZJOn6r209aqLfrOxsvpIB1vTchxCz
jD8dbCtXuTKVuQz+LRIrsc2APgAAACBVSPZDdOfdj9ct0d9/4KD+8u9uTXq3YlFNyivLu70ccMax
zTT+VHBsr2ffv0xGqosdbr8HAAAApAoD+hAKK9dZuQe7X5d3Q4mp7KeDXTeNXw3T+P3nAQAAAKQF
yT5CYXd0Vma11Q5wm3lsd5Dsp4Fj57x5CjXT+Gtjbr0HAAAApAvL+BEKK+sl5X7HfX19fvoxlf10
sK1cZdVFJcGX6qbx07MPAAAApAuVfYTC7qj01hsTtN6HEZPsp4NjZ49S2adnHwAAAEgTkn2Ewu7s
8nruG2r0M41lWQzpSwHb9qbxB1fHqC6mZx8AAABIF5J9hMLJd9f33BsTWmwXupM+vLZn1/Tsq6Gy
L0OyDwAAAKQNyT5CYee9hDzsnn1XrvdGAhLlOB1yjVup6Cu4c4IfO05H0rsIAAAAoAbJPkJhF7qr
1V5fSLFNsp+4rFOQ1FDZr4m95wEAAACkBck+QuHku4OafHAP9pBiKvvJy2TyXiVfqlb3a+JMhrkK
AAAAQJqQ7CMUdqHofeJX5kPc2vli0ofX9jKZwoQ9+5kMlX0AAAAgTUj2EYooe/ZZxp+8TKbgTd+v
VPXlT+OvxCT7AAAAQLqQ7GPGrFynjO3U93FXPg0jdpjGn7isX9mXvES/dr6CqTwPAAAAIDVI9jFj
3m33anrupVBjKvvJa6zsex9U9gEAAIC0cpLeATQ/r1/fSMb1tnJDjUn2k5fJ5qs9+tJhqzAyWQb0
AQAAAGlCso8Zq07ij6hnn2X8ictkCnL9N2MqOX5tTGUfAAAASBeW8WPG7Hx3TcW32scdVsyt95Ll
2DkZy6mbvh/07FdiYzly7FzSuwoAAACggmQfM+Yts2/ouQ9xS2U/Wd5t9ypXpGEaf21MdR8AAABI
D5J9zJg3Ld809HGHt7XzxaQPsa15S/glGVPZatyYZB8AAABID5J9zJid7/aSPtXU40OMjePIynUm
fZhty0/ivR79mnkKDTHJPgAAAJAeJPuYsWCZfe2910OO6dtPTjaTr775UlvZb4izGSbyAwAAAGlB
so8ZO6xn3yj0mL795FQr+5pwS2UfAAAASA+SfcyYXSjWTNGPZmtT2U+MP6Cvtkd/vJhkHwAAAEgP
kn3MmF3ojnAWvxv8HUiGP6Cvdvr+eDHJPgAAAJAeJPuYMa/qHt00fhnJYSJ/YqqVfTVU9uvjTJZk
HwAAAEgLkn3MmFd1j7a2T2U/OZlsPqjeS5VK/jhxhgF9AAAAQGo4Se8AmpuV65DJZCQZGbnyyrxu
6DHJfnKCyn7lisj79LCYZfwAAABAepDsY0aqg/OqlfgoYgb0JcfJVnr2Xdd7C8Zfwt8QOyzjBwAA
AFKDZfyYEbvg9dK7DdPzw46p7CcnqNjX9uiPE9OzDwAAAKQHyT5mxMl3R1rRp2c/eZlsvjJ9Xw3T
+NUwjZ+efQAAACAtSPYxI3ahO9Ip/P7WX0GA+GWy/jR+UzeJvzGmsg8AAACkBz37mJGg4m5cua4U
VORDjunZT46TLVSq997AxGAKf0NMzz4AAACQHlT2MSPV5fWmWu2NILa7SPaTUq3sq65fvzGmsg8A
AACkB8k+ZsTOd1f6t2t67COIjZORle1I+nDbjmVnZOxM0KMf9OuPExs7I8vOJL3LAAAAAESyjxmy
C8VKa311en5UMUP64pfJFI7Yoz9eHEzuBwAAAJAokn3MiF2oTuOPekuyH7+M368vqbrq4sgxS/kB
AACAdCDZx4zENY1fMgzpS0BtZd+tq+KPH1PZBwAAANKBafyYEb/aHn1dn8p+EjLZQjBtX6bao3+k
mMo+AAAAkA4k+5iR6q33jLzUz0iuG0lMsh+/YBK/gqsRGC8m2QcAAADSgWX8mBGr0F2p7Lp1fdxR
xCT78XOy+brqfe0E/vFiJ5tPepcBAAAAiGQfM2Blc7KyOS+omZ4f1dYuFJM+5LZTV9mv7dE/Qkxl
HwAAAEgHkn1MmzeJP65Z/K4sKvuxczKF+kp+Q59+Y+wwoA8AAABIBZJ9TJu3rD76KfzBNH6S/dhl
clOcxp8j2QcAAADSgGQf02bluxXU3k1DLT6CmGQ/fk42H0zdn8yWnn0AAAAgHZjGj2mzu4peT71b
mctuaqbnRxCT7MfPqdx6r+beCBNuHXr2U8OUBmT/41/JLJofPOY+uV1jv/+ncnftPuLXSJJGRjT2
kb9V+Zbbkj4MAAAATBOVfUybnadnv9X5A/dqp+9PFDOgLz3sT3zwsCTeLJrvJfelgaR3DwAAABGj
so9ps7u6K9Py3WqFP8LY7mIaf9ycXKWyb6qPuTpy7NCznx6vvqqxD34iqM7bH3mfrNedJ7Novszr
zpP7pRuk/j6Z3qK0Z69G/+ADch96JOm9BgAAQEhI9jFtdleP/Nq7iWFrMllZuU6VR15J+tDbhr8s
3+/J94MjxSzjT4/Rd/6Puth97KmkdwkAAAAxYhk/ps3p6VOc0/hl/L8TcfEr+3XD+CaIqeynl7X5
VO+TPXvl3rVVkmSGF0gdOamnKOfL/0uZrd9W5kc3ydpydtK7CwAAgBki2ce02cW+WHv2/b8T8WEa
f2twvvApmRNWS5LKd/x04uX6uZzsD72HhB8AAKDJkexj2pye/mqztqlU4COOqezHx1iO7ExH5TpM
7sPOdMhYdAelhVlxjDLfu7Ga6H/zVo196JPB8+VbbtOh0y/RofUX6tD6CzX2wU9IIyNSLidz+klJ
7z4AAABmgGQf02b39ElyK5PYa2rwEcYOlf3YZLJ5uZWq/VS2Gar7qWBtOVvOdZ+SeioD+N78zrpE
fzzlW26T+6BX9Tfz5iR9CAAAAJgBkn1Mj2XJ7u6pr7zHsLV7+pM+8rbh1N52z/+YRMyQvuSZ0oCs
3/stKZeT++R2jV5x9bhL9+13vVVmxTFBbG05W2alF7tPP5P0YQAAAGAGWG+LafEr7HH37FPZj08m
WxnON8H0/fHiDMl+4sz642Vml7zPF82Xc8uX654f+8wXVf7SDVJpQM6X/9dhf959crvKn/li0ocB
AACAGaCyj2lxevpincLvb2169mPj5ApT6tf3P5jI3zzGPvRJuT+/v+4x9+f3a/TSt8ndtTvp3QMA
AMAMUNnHtHiT+CVTqbnHtWVAX3ycbKG+gu87SsxE/uSVb7lN5Vtum9TXjr7tj5PeXQAAAESAyj6m
xfF752Pv2SfZj4uTy1PZBwAAAJoUlX1Mi11Zxl/XUx9DTLIfHydbkGsqDfmV3n1NImZAHwAAAJA8
KvuYlmA5vfF66U1tBT7C2GSysvNdSR9+W/B69k1D5f7oMZV9AAAAIHkk+5iWaoXdq737Ffg4Yqr7
8ch0dHvnvuYWe5OJs53FpHcdAAAAaHsk+5gWp6c/kWn8kpHtzwtApDId3cHwPT+hn0yc6exNetcB
AACAtkfPPqbF7ukLuulV2cYVM5E/HpnOYjArwchP6I8eZ/M9Se86AAAA0PZI9jEt/oA+b4qeW5mW
78YSs4w/HpnOYnDe3eDRo8fZfG/Suw4AAAC0PZbxY8pMJisr7w9hq5mWH1NsF0n245Dp7K7cEUFT
2mZI9gEAAIDEkexjyryqvj8tv7J8O8bY6SXZj0Oms1g595rSlmX8AAAAQPJI9jFlTrFP1Sn5vvhi
lvHHw+nwevaDNRVGk4pl2d5wPwAAAACJIdnHlHnJtqn8f/20/Dhikv3oZTq6vZ8OxtRV7icbU90H
AAAAkkWyjynzJvHX99LHuSXZj543id/j31ZvKjG33wMAAACSRbKPKXN663v2vW18sd3Tn/QpaHmZ
juKUe/Vrt0zkBwAAAJJFso8p8yrrbkNFN75Yxsgu9iZ9GlpaprO7Ml3fbZi2P7k4wzJ+AAAAIFEk
+5gyu6e/ptJuqr3aMcYs5Y9WptOv7PvnX1OKs4XepA8BAAAAaGsk+5iypHv2Jckh2Y+U4992T/6U
fU0pzrCMHwAAAEgUyT6mzO6tTuOXVDctP66Yvv1oZTq7qz34Uk3lfnIx0/gBAACAZJHsY8qCnv1K
XF9zjyf23nBAVKrT+N1q5X4KcYZl/KnXp1LSuwAAAIAIkexjSqyOTplcR2K9+n5Mz360nPzMevZJ
9tNvluYlvQsAAACIEMk+psRPspPu2SfZj1Z1Gn+1H38qMdP4069k5ie9CwAAAIgQyT6mxO7tr6+4
S4nELOOPlhNM41dD5X5yMZX9dLPlqN/MSno3AAAAECGSfUyJN4lfCmrsRonEVPaj5eT9afxuw7T9
ycUyhup+ihVMUQXD9QEAAGhlJPuYErunr2E6fjJbu5dp/FHKVHr21dCTP5WYZD+9Cioqb3F9AAAA
WhnJPqbEXz6fdM++1V2ULL59o2A5GVnZjsqEfbeuJ38qcSbfm/Sh4AjyplsFq5j0bmAKnC98Spmt
35b1lisOe87acrYyP7pJma3f9j5+dJOsLWcnvcsAACBhTtI7gOYSLJ83RnJdr4rrJhPbvf0ae+H5
pE9Jy3E6K0mgv5LCv+nhFONsgcpxWuUtKvvNwv7I+2S97rwjPm9tOVv2h94j5XLVB3M57zFJ5Vtu
S/oQAABAQiiNYkrs3pqe/crMvKRi+vajkeks1vThN1TupxAzpC+98qaoPJX91HO+8KkJE31JMqef
JOVycp/crtEtb9bom98p7dkr5XLecwAAoG2R7GNKDpvGH/Roxx+T7EfD6eyeVo/+YT37JPuplbe6
lbd71GEKSe8KjmbPXo194C+9BH4iL+6Ru2u33Icekfv4r5PeawAAkAIs48eU+Al20j37rlxuvxeR
XLFUc+eD6oqKqcaZLoYoplXe8lZvFEyPXnX3J707OILRt/2xJMmsOOaIX1O+/t9kbTpF5oTVymz9
dvC4++R2lT/zxaQPAQAAJIjKPqbE7m2cxq/EYpL9aGR7Br3EvaFSP9U4WxxI+lBwBHmrKNcSQ/pa
gPvQIxr7P1897PHyTd+Ru2t30rsHAAASRLKPSbN7+yXHaaixK7HYGZiV9ClpSbliqWY+QrUHf6px
tpvKflp1Wt0qW2JIXwtwvvAp2e9662E9+/a73ir7I+9LevcAAECCSPYxaU5pqK533lS2ScXOrNlJ
n5KWlO0phVLZz3RT2U+rTrsoUdlvembFMTLDC6SREZX/9z8HPft+pd+sOVamxL9DAADaFck+Js0p
DdXV112jRGO7NJT0KWlJ2eJgtWff+Osoph5ni1T206rT7lbZUNlvGQ2T963Npya9RwAAIAVI9jFp
QSXdSK5fYU8wprIfjaCyL0nGVCr204uzVPdTqdP2evbzNsl+M3MfekTlO34qSbJed54yW7+tzNZv
y5yw2nv+vl/Rtw8AQBsj2cek2aWhalLn19gTjOU4svtIJsNkORllunrqpvFXE/mpx/Ttp1OH3e1N
47d7k94VzNDYhz6psXGm7o995osa+9Ank949AACQIG69h0nzKulGMq4kI1PZJhk7s2Zr7EUqV2HJ
VobzGXkJu5GRK3fasde3vy3pw0KNrOmQZWfkuiT7zcJ96BEdOufyIz5f/tINKn/phqR3EwAApAyV
fUyaM6uhZ19KPHbo2w9VtmdQUs10fb8Hf5oxffvp02kVvfkXRso7vUnvDgAAACJCso9Jc0qza+51
70/FTzambz9cuZ5Stefeu/3BjGIm8qdPvtKv71pSwelLencAAAAQEZbxz1BpoEvvvfosFbs6JEm3
3blNN958b/D8NVdt1qrlQ+M+10zsgUHJtiXV9MxXJBnbs6jshynTU5LU0IPvTj+msp8+nVZ3pbLv
qtP0Jr07AAAAiAjJ/gy9Ycsa/dO/3q0Ht+0MEv8dO/fqzrsf1+UXrVWxO6f3ffQm5Tuzdc81m6Cq
byrd2CnZUtkPV65n0OvZD25+UOnBn2acKVLZTxt/Er8rI0dZ5ayCRsr7k94tAAAAhIxl/DP0uet/
rAe37ZQk7dq9T9t37NHcoaIK+ayWLSnpB3c9qv0HDmrX7n3aeu+vtW7N/KR3eVq8fn2pWmF3UxHT
sx+uTM1t94IZCTOIM1T2U6fD7la50mZRNlKB2+8BAAC0JJL9EJUGujR/bo927NyrfGdWkvTwY7uC
53fs3Ktid06FfDbpXZ0yZ9bsuluqeVPxk49tKvuhyvZWe/b9lRwziansp0+n0y1VevZdS8ozkR8A
AKAlkeyHpJDP6h1XnqbtO/bozrsf12B/Qbls63RJNPbGV6fiJxxbRvbgrKRPT8uoTuOv3P0gmK4/
vZjKfvrknT6Vrco1sqQuh2sEAADQimyrc+mHk96JZrdy2ZDe94fn6N77n9aX/vWnkiRjjNaunquf
/XK7DrxyUJK0cF6fFi/o109+9qQOHRo74n9vXldGWdto1HU1WpZ6c7b6O+xE48Lr3igzOFQzFT89
W/ueu9S3b3eqzlczxmO2o9kXvjX06zPy81vUaw4mfnzEXnxS/2vUl1voXSMjPX/ofo2aR1Kzf8TE
xMTExMTExPXxdBm7/3x3+n8cG08e1sUXrNbf/MP3tWv3vuDx0kCXrrlqk77y9XuCnv7LL1qroVJR
1153+4T/zbkFRzv2jyZ9aHXmfPb/yJ41JCPJrczHc6VUxLuv/Wsd+P5/Jn2Kml5uYK6O/9PrKlFl
EGJg+vEDf3eN9j+9LenDQ8VvLf5bLcivDv4d3bnry/rhri8lvVsAAAAIGcv4Z6CQz+rMDUv1je/c
X5foS96wvvt+9YzO3bRckpf8rzl2jr57x8NJ7/a0OLXL+IOp/OmIHW6/F4psz2BNRV7153kGMX37
6VLI9Af9+q4ldWVZxg8AANCKWqepPAH5zqyK3R268tL1uvLS9cHjDzy8U9ded7u+9b0H9e63n6HP
fvwySdL1X9saVPmbiT1ryBu65qq69WfjpyC2mcgfimxvKZimX3vXg5nG9O2nSyHbL9f4cxWM8hmu
DwAAQCsi2Z+BXbv36f0fu/mIz+8/cFB/+Xe3Jr2bM+aUZsubfl9J4IJp+OmInSEm8och0+tX9oOG
iVC2VPbTI2d3ybZzXrIvIyOpkOX6AAAAtCKW8eOovEn8bm3tNlWxzTL+UGR7SsEUff82h2HEmR4q
x2nRlemXa7kqVyr7ZSPlWcYPAADQkkj2cVTO0Oz6XmwpVbFdqrlLAKYt01sKJrS7tT34M4wdKvup
4fXrm0q/vrfNZ/tk+FUAAADQcniFh6OyZw1Ve+Qrj6UtdmaxlH+msgPedfaWeIe3zfbPSvrQUFHI
9KtsXLmWvK3xtgX69gEAAFoOyT6Oylsmb2qq6kpdzFL+mcuV5tesmDAN0/WnH+dK85I+NFTks9XK
vmoq/AWW8gMAALQckn0clT1rtmQaeuZTFttU9mck21eSyWSCirxU6bkPITaZrLJ9paQPEfIn8Vcr
+q7l9e6T7AMAALQekn1MzLJkD5YUVNKD1vh0xc4Qlf2Z8Kr6iqRnX6by30fi8rmBw3r2XcswpK9J
dagz6V0AAAApRrKPCXnD+Rp65FMYs4x/ZnKleQ3T9N1QY5byp0O+UtkvG9VN5SfZb04LtCzpXQAA
AClGso8JBUl0iqbvjxfbQyzjn4lcaV5DZd6EGpPsp0O+w+vZV0Nlv5DjjgnNxshoobU86d3AJJnS
gJyvfUGZH90ka8vZ4z+39dvBh/O1L8iU+HcJAJgZkn1MyJ41e8r3vU8ipmd/ZrKz5lV67Wt67kOM
s7NI9tOgM9evck1F3zVS2XLVmaOy32z6zCz1GVY0NQPnC5+Sc8uXZRaN385kf+KDhz1nFs2X/Y9/
RcIPAJgRkn1MyB4aSsW0/aNO4x8YlHGcpE9X08rNmletyKvacx9WnCPZT5xjdyiTKVSq+qqZyi/l
SfabTq8pqWiRCKaZX7E3J6ye+AtffVVjH/yEDq2/UIfWX6jyN2/1/vyi+TKvOy/pwwAANDGSfUzI
r5hP9b73ScT07U9fdta86ooJvyIfYkxlP3lev74q/fqVafyVmMp+8+kxg+q2uW7NwH1yu8Y+/hlp
ZGTc50ff+T9UvuW26tc/9lTSuwwAaBEk+5iQ4/fCBz3YSm3MUv7pyZbmSsaq67UPeytjeX8PEpPP
9R82hT+Yxt9J0thseqySum0q+2nm7tqt0UvfptFL3ybt2z/pP2dtPtX7ZM9euXdtTfowAABNjGQf
E7KGhhoqtUptbHP7vWnxhvPVT9GPYsuQvmTlc/0qW9Vefde4QSzLVme2N+ldxBT02FT2W5HzhU8F
y/7Ld/xU7kOPJL1LAIAmRrKPIzKZjOz+yovJlE3fHy9mIv/0eMP5oqno125Zyp+samVfDZV974Ol
/M2laA/KsjPKm2LSu4IQmBXHKPO9G6uJ/jdv1diHPpn0bgEAmhwTzXBE1Un86ejJP1pMz/70eMPz
vGqviXDLkL5kdeb66++UYFz575a5xnsz4IWXH0t6NzFJRXtQZUsqWv06MLY36d3BDFhbzpb9ofdI
uZy0Z69G/+ADVPQBAKGgso8jsufM8T4x3j2da6ffpzG259ATPh3ZoXnBDIRqj334cXaIZD9JnZ1U
9ltJMVOSa4m+/SZnSgOyfu+3pFxO7pPbNXrF1ST6AIDQUNnHETmLhyUp6Ln2y+hpjf39xdR4y/hd
ua5kKltFELOMP1mdHf2VXn3v/RdXroxMEHd2kOw3i4zJqcsZVFkk+83OrD9eZnbJ+3zRfDm3fLnu
+bHPfFHlL92Q9G4CAJoUlX0ckbN4uFo99yvpKY5NNiNnHgnlVBjbVmZwtvzz6QYrJsKPM4OzZWw7
6UNuW4X80ISV/UKeNphm0WN7Vf2yLYb0AQCAI6KyjyNyFi2uVM2l2un3aY6dRcMaffrppE9d08jO
mledmh9xZd91vb9v5BnuIZ2EQmFI5ZrWF9f1avt+3FUg2W8WPXZJZcvrlulyqOw3g/Itt6l8y22T
fhwAgDBQ2ccR1VX2UzBtfzIxS/mnJjs0v67HPuptdmh+0ofclvIdAzJOVvIr+car7NfGhQJ3s2gW
xUxJri2VLanLobIPAADGR2Uf46pNmuvn3qc7JtmfGq9fX/Kn8Ue9pW8/GYXCbG8ugzGSW5nG79bH
hS4q+82i6MxSufJWfSFDZR8AAIyPyj7GVV/Vr/xPE8Qk+1PjTeJXjJV9kv0kdBUa+/UP/zC2o3zn
YNK7iknwJ/G7ttSVobIPAADGR2Uf43IWD9fUzqW6HvkUx9bcuTLZrNyDB5M+hU0hO1Tfsx/1lmQ/
GYXCbK/HW94aGFM3lb8aFwqzdeCV55PeXRxFd7aksuVKxlDZBxJgbTlb9ofeI+VykiT3ye0a+/0/
lbtrd9K7BgB1qOxjXM6wV9k3QfXcNE1MdX/ycguXxlrZzy1cmvQht6VC12zJ1E/fHy/uom+/KfTk
Zsu1vetnnIy6GdIHxMZ6yxWyP/b+INGX5N028YZ/kFlxTNK7BwB1SPYxLmfxYkn+PeyrdfRmiO3K
vmNimcHZsvIFufLOn1s5j1HGVr5QudUf4lTomq2yVbkmlYF848X07TeHntxclS1vQJ9ruerNzkl6
l4C2YEoDsi65QJLk/vx+HVp/oUbf/E5pz16ppyjryjcmvYsAUIdkH4cxXV2ySrMqgf9gOqbtTyam
sj85XlW/pvIuxRJT3Y9fvmv2UXv2Xcv7OqRbT2ZIsi0v0belsmXUm52b9G4B7aG/T6a3KEkq3/4T
SZL70CMq3/FTSZKZxxtvANKFZB+H8ZLlak+8XzNvlphkf3I6Fiytr8DHtM0tINmPW757yKveG7+K
r3HjfDfJftr15uZUqvpusO3pIMEA4mZtPlWSV+03a471HuzrkSnRVgMgPRjQh8N4S/iNZCrpczDt
vjlie5hkfzJyiyqVfW9EW2zbjkUk+3EqFIYky9QNtDSSd9u9hrhAsp96Pbm5cm3J9e5pKVdGvTmS
fSAOfhXfet15MiesVmbrt5PeJQCYEJV9HMZePFzfEy81VWz19Mjq43ZUR5NduNS797okt/JGSRxx
lmX8scp3z65U7l25llfNP1Lc2T2kam8M0qin4/DKfrGTZfxAXMY+9Em5P78/iN0nt6t8251e8OIe
JvIDSBUq+ziMN4nfr8Sqem+uJoqd4cU6+OILSZ/K1LK7inIGStXzZoxcuTIxxM5ASXZXUWP79iZ9
GtqC368fvDNWWbp/pLjQNaT9+55NerdxBH6yL9dUrptRsZPKPhCn0bf9cfC5KQ3I/se/kiS5Tz+T
9K4BQB0q+ziMN80+PT3404lt+vYn5N9yr3ZafpwxQ/riU9evb9X06R8hpm8/3bo753jXraay35Ht
UdYuJL1rQFuwLrtI1pazq/G73iqzaL40MiL3R/+V9O4BQB2SfdSxh4Zk8vn6afd109SbI3bo259Q
btFSrypYMy0/zjhH335s8sXJTeIPJvKT7KdaMT9XZVtybeNdM9uobIshfUBcugqyP/Z+ZbZ+W5mt
35b1uvMkSeVbb1f5ltuS3jsAqMMyftTxh9ulqQd/OjFD+iaWrSTbtRX3OOMsyX5sOrtnq1x5E8zV
0bf57qGkdxlH0JnpUSaT966nWzP40hj1dMzRrv2PJL2LQFsa+8wXVf7SDUnvBgAchmQfdZzFw4lP
0w8jprI/Mb+yX52RX+mpjymmsh+ffM+QZFXfCJOq1328uLNIZT+tipV+feP/zJOX8xsjFfNzJOaC
AZErf+kGEnsATYNl/KhjDw+noud+xrFty16wIOnTmUrGdpSZv0hSZTCbaqflxxNn5i+SsXmvMWqW
5SjXNViZtl/9mCjuLFLZT6ti3u/Xl8rG69n3424m8gMAgAYk+6gTLH8Peq3VtDFL+ceXXbS0roc+
qS1L+aPX6ffrm4be/Anizh4q+2lV7Jyrsm3k2vK2loK4u0DPPgAAqEeyjyrLkr1oYUOPtZo2dhYv
TvqMplJ20dL6XvqEtiT70ct3D9VP3Z/ENts1IMvOJL3rGEd3YU4whd+tmcZftkj2m1FGOWWUS3o3
AAAtjGQfAWd4uKYy3vxbKvvjyy2urez7b5DEH+cWk+xHrbNnapP4g+o+ffup1F2YE1yjsuVN4ffj
Qn62jOFXejOZZ4Y1z/B7CgAQHV4ZIGAPL5ZUO+G+ubck++PL+JV9JbvyIkNlP3L53nnV3vxKn/dk
4kLvvKR3HePoKsytVPOlsu1W+/crcTFPdb+ZzLGGNYdkHwAQIZJ9BKr9+pX/qauWN19szZ0j09GR
9GlNnWylsq+GHvq44yyV/cgVZy+r68uXZSYVF4eWJb3raODYHerID1T69SXXMt5y/pq4WJif9G5i
CubaSzTHWZL0bgAAWhjJPgLVSfzh3/c+qZjqfr3M3AUy2axc452h6pT8+GOTzSozlzsmRKm7kuxP
tW+/m2Q/dfqKw0EV363p1a+Ne3v4eddMZjtLNNvhmgEAokOyj4DdYj373jEtTvq0pkpu2cqGSrsS
jXPLViZ9SlpWvm++rFx+SpP4/bh7Dsl+2vT2DMu1q7facy1zWEyy31yGsks0O0tlHwAQHZJ9SJJM
sSgzOCCppjpeSZibOaayX69jzQlBz7wbDMtLLu5Yc0LSp6RlFWcvk+vfi91UqvaTjLNdA8p1DSR9
CKjR21Ot7JcbKvt+3NO7OOndxCT1WIPKOgVlnIJ6rMGkdwcA0KJI9iGppgJu/A/TErG9hGS/lp/s
1/bQJ7kl2Y+Ot4S/2pMvvxo8yZil/OnS0zvsVfFtr0/ftc1hcU/vsKrLm5BmQ5lhlR2p7BgNZfg9
BQCIBsk+JEmZtWslVaviauiBb9bYWXt89Y2ANpeZt0BW/0DQO++qUmFPMLb6B5SZR99+FLr84XwN
/fiTjVnKny49fcM1/fnVyn5j3NtL4tgMhjLDGrO9uygMZblmAIBokOxDkp8UV4Ka5datEDvHH5f0
6U2F3Oq11Z55/+4FKYhzq9YmfWpaUtfcZdPq1/c/7yLZT418flBOZ5c3ed9P8CsV/ca4h2S/Kczq
8Cr7Y7bRrBx9+wCAaJDsQ7JtOWuPj/y+90ltnbXHJ3hy0yO3Zm11rkEwHT/5OHccyX7Y8v3zZeU6
Vbbcmn58TSkm2U+PYAl/zceRYvr2m8NgrlrZL3XwBg0AIBok+5CzZrVkjLfaPaiOt07srCWZlPx+
/XT06tduc/Tth65rbmUJf00P/lTjTLFfWYb0pUKxb1hl/9oEFf3x42I/iWMzKOWXBD37g3muGQAg
GiT7qFS+/Z5qX+vEztrjpUwm6dOcqOyyY2WKxWAKvoLp+MnHVrGo7LJjkz5FLaV7/srKsny3fnn+
FOPu+VyXNCj2D487fX+8uHuAxDHtZuWWVKr60pjtqmyLpfwAgEiQ7EPOCWvr709fVyFvjdhZvSrp
05yo3MrVdefGrbnvfRri3MrVSZ+iltK7bH21Ul/Xlz+1uO+Yk5I+FEgqDgx71Xu7ulz/SHFH16Cy
ue6kdxkTKHUuqfTre5X9si2VOnmTBgAQPpL9NmdyWdk1/fqSGirkrRG3e99+dvXxwXmpn46fjji7
ur2vT5hyvUPqGFxQ6cOvTGwP+vKnFheXrkv6cCCpa3B4Uv36/gdL+dOtlB8OKvpjtqsxWxrMU9lv
Rll1JL0LADAhkv02Z69eVbkznQmq4a0YOye0bzJpslnljj+hYdWDSVWcO/4EmWw26VPVEnqXnTSt
Hv3x4o7BueocnJ/0IbW17v7Fcu2a61JT0T9S3E2yn2oDhSVeRb/Ss192pMECyX4zWqL2XjUIIP1I
9tucc9xxwR3q66fYt1bsrD1epqM934HPrlwj09ERTL/3bkvopio2HR3KrlyT9KlqCcWla4O+e3+6
/kzinmUs5U9SsX/yk/j9j+5Bkv00G+haonKlou9X9vu7SPab0WJrpUzQNwgA6UOy3+aCinfld5V/
a7RWjO017fkOfHbl6sR78icTZ+nbD0XX4jXVKq9pqNxPI+4ePi7pQ2pr/hL+6tR9HTXuItlPrXym
Tx2dfRqzK5V9Wyo7UkdHn/KZvqR3D1O0yFmpYYvfXQDSi2S/jZl8XvYJ1V7uIEFu0dhu0yF9mVWr
pWD6vf8GSPri7CpeMM1U9+I1yvQMqGz8Cr1b6b+fftw1zHVJUldpcd3E/foq/vhxV2lx0ruNIxgo
DFcG87k1E/m9eIDqftNZkF2pYYdVaQDSi2S/jdlrVnmt00Z+o3tLx84Ja5M+5bGzevuUXXN8Kir3
R63srzleVi+VrZnoWnJcQ+/9zLdOsU/Fpe33byct+uYfH1TsXcub3H602OroVHHWsqR3HeMY6F5S
qejX9+yXbUOy32TmO8uVzXRrQXZl0rsCAEdEst/G/Ep3Gnrq44jtE46X6epK+rTHKrtqtWTbQY+8
GnrmUxXbNtX9GeoaXl2dpm+pfrr+DOLCMJWrJPTMWSnT0TmpPv3GuH/RuqR3H+PoKy6pm8JfO5W/
r0j7RTNZlF2tUcfV/A6SfQDpRbLfxpy1lV7chj73Vt62W99+9ri1dZX0IMFOaZw9jgrydDn5bhWW
rK4O2PMr9CHEXUt4EyYJ/YvWBdci6MufZNy/+MSkdx/j6OtZUlm2b4J+fT/u66Gy30wWdKzWWMao
I9erWc6ipHcHU2BKA3K+9gVltn47+HC+9gWZ0kDSuwaEjmS/TZliMejXl9Q223bq2ze5nHKnbqhf
6eAn2CmNc6dukMnlkj51Tal7xXqZznxlsF5N730IcdeKE5UbmJP0IbadvsXr6qr1ZcuddNy7eJ2c
XHutZGoGPb3DlQTfrenX9+LeXpL9ZjIvv1pjjqtRx0v80TzsT3xQZlH9bWXNovmy//GvSPjRckj2
25Tfr1+tepu2iJ3j2+cXcu7UDbJmleor6Q0982mLrVkl5U7dkPSpa0rdK0+SGnruw4plW+o+dn3S
h9hWsoU+9SxeG0zZ9/ryzZTi3kXHJ30YqDFv1kk1E/iNxhwdFs+bxa0um0FfZo7yHQMayxiVM9L8
PK1OTeXVVzX2wU/o0PoLdWj9hSp/81ZJXsJvXnde0nsHhIpkv03Za1Yl3kOfRGyfcLxMb0/Spz8W
udO8pLl2+n0zxFmS/Smzsh3qWrnem8Ye9Nsr1LhrJUlInHoXrZXbULmfakyyny5zhk6q9OlL5ZrK
fm08Z4g31ZrB/PxqjTkKKvvzutqnkNAKRt/5P1S+5bYgdh97KuldAiJDst+m6nrXayvgbRC3Q9++
XSope9qGxCv104lzGzbILpWSPoVNpXvVSXJ6++WaSmXe77sPMe5atV6Z3sGkD7Vt9Cw+XmXb1PXj
TzXuWcwMjDSZPfekhj59HRYPzeVNtWYwr2uNxjLSWMZoLCN15+eoO8PvrWZlbT7V+2TPXrl3bU16
d4BQkey3IdPfJ/sEbzhfUF2tPNcOcTsk+9nTNki5XLqm7U8yVi7n7T8mrWvVepVNpbIb0VbZLNX9
uBhLPUvXTalHf7y4c+4SFRcdl/TRQFJ393x19S1s6NPXYXF370J1d8+f+V+ISM0pepX9UccNtnO7
Wv+1RStyvvApmRO8lRnlO34q96FHkt4lIFQk+23IS3ZNw7T69onbIdnPbTi9rnKuhkp62uPchtOT
PoVNw9iOulafJFV67aPcdq1miXEc+pefotzgXG92gt+D789SmGI8sGpj0ocDSbNmr/US+qBP3xwx
njWbFRlp1p0tqadrUV1lfyxjNLdI334zMSuOUeZ7N1YT/W/eqrEPfTLp3cIUBXdW+NFNsracnfTu
pBLJfhvykt109NAnEVvHr5EZbN1pq87SY5RZt65uVYNb2yPfBHFm3To5S49J+lQ2ha5V6+UMzKr0
2buRbgurT5Ld1R4zL5LUe+yp06rkjxf3rd4kO9uZ9CG1vdK8E+sq+WO2e8S4NI/bJqbZUPdKjWW8
Xn2/Z38s42qol779ZmFtOVvOdZ+SeorSnr0affM7SfSbkPOFT8m55cuH3VkB9Uj225DlT+KX2nbb
ytX97IbTvEq5GirnTRZnN7CUfzIKq0/yKrpGkW+tQsFbRYDIWJkO9a48VWVbcm1TGbynaceZvpL6
12xK+rDamu10qLSg2q9/tG1p4UmynY6kdxtHMNS7UmOOX9GvfDhG/b3HqCtH337amdKArN/7LSmX
k/vkdo1ecTVL95uMX833V2VgYiT7bcYaXlSdxO/3S0ttF9snnpD0pYhM9rQN9ZVyo6aMs6edlvSp
TD2n2Keu9RtVNq6X4MWw7VrPsvAo9a48RU7vQGXQnhtU6GcS95HsJ2pw7lqZjo7q5H2nOoV/vNjq
6NTgXJbyp1Wpb5XGgl59BVP5xxxpVs/KpHcPR2HWHy8z23tTxiyaL+eWLyuz9dvBh/WWK5LeRUyS
++R2jX38M9LISNK7kmok+23GOfuMukqqGiqr7RJnzjurJZfyZ048UfayY4Ie+Lrjb7LYXnaMMiey
nHUiPWdskd0/IFmm2rNtKdK4a/1GdS6jNzUqPStPrVbobb8Hf2Zxz3Eb1DlnOOlDa1sD80/wKvdO
wyT+CeKB+SckvdsYR6GjpMHBlUGvfjmo7ntxqZ9kH4iau2u3Ri99m0YvfZu0b3/Su5N6TtI7gBgZ
I+ecM+RKMpUediO1Z1zsknPeWTr0lf+b9FUJVXbDhup0+8oBe9vmjLMbNujQz36W9GlNJSvfpeIZ
W7yVEMatfGN726jj4sbz9Mq2+5I+BS0nU+xXcfUpXqLuSqby78CYmce9x23SK888nvQhtqX+hWs1
Ztf+Pjr6tm8Blf00mjN4gsYcb/WZkan+e6vEpUGWFadd+ZbbVL7ltqR3A4gNlf024pxzhqzFCxPv
l0/L1jnvrEjPd9xMLqfM6RsaKuTN/ZE5fYNMLpf0qU2lnjO3yJk126u4m0rl3SiWuHvT+crOWZD0
KWg5A6dukdVVrKyikMrBioqZx30nnyMrSx943AYWnKCu2cd4g/ga+vMnirtmL1XfXBLHtFkwf1PQ
o9/Ysz+WkfoGV2juLOaaAEgPkv02Yleq+pLYSrKOXS7njNa5xVvm9A2yZpUq0+393nc1dWzNKnlv
YKCOyebUfeaWSh+95FpuZRtPrKyj7k3nJX0aWord2aW+DRfWTdV3a3rwZxpnSnPVd9I5SR9m2xla
eXa1N78ycX+y8eCy1vn91Ap6e5ZozvzTgun7fr9+Yzx/ATMyAKQHyX6bsJYOyzlzU011u6aHvY1j
u4Wq+9nzzk1Vz31YcfZ8kspGxbNeI2fegqCnPolt1+bzZXdzG76w9G/Yokxpjlzbu+e6a1cq8yHG
vaecm/RhtpXOntkqrT6rph/f1PXmHy0eXH66jOFlWlrMX7jpsEr+ePG8xZvU0dGb9O4CgCSS/bbh
nHtG3X3M1XBf83aNnXPPlLV0OOnLM2PZMzYrc+opNRVy/yibP3ZOOVnZc6lIBixLXWf7VX23srze
jT22BgbUtZk3YsJgMln1brwwkop+bdy5bI26j+MuF3GZtfrsYAp/2ZbGbLeynVycK83VwHKq+2kx
d3iTRjOVan6mMo1/nNguFDV3EdV9AOlAst8OHFv2OWdWY796SiypNar72ddfXHOPeu+jleLcpW9I
+hSnRvfZW5RdvKTam21qK+7xxoUzSPbD0Ldxi7LzFnrT861qRT6KuOc0qvtxGTz+rIa+fDPleOBY
2pjSYO6ijSqUFnu32ask+BNt5wyT7ANIB5L9NmCfc4bMwnmS1FDdJnZNZVBfZ/MOrsqef66cdWuD
4/Gr460U2ytXKPfG1yd9qhNndXWr+7WXehV24yfeSizOLF6injf8RtKnpen1bKrv1Y9y233SGepY
vDzpQ255c065WB2zFweD98ZqK/dTiAfXnafeJSckfThtb2jppoYefU0Y9y9ap74hbsMHRK18y206
dPolOnT6Jdxl4QhI9tuAc84ZMjJ10+iJq7GZN7upJ/NnX3+xZExDZbz14uylb5Apdid9uhNVvORy
OQuS7dVv3HZf+pvKLlmW9KlpWgOv+03lhpcF57NcU5GPKh68+MqkD7ul2dlODZ12SbUH327oyZ9i
PGfz5UkfUlvLF2draHm1X79cW8mfIJ59zOakdx0ASPZbnbX8GFlnnB70QEuVyilxXWyff1bs1yYM
2YtfK2v1Su94aqrirRhb8+cq28bL+bPLjlXX6y9vmI6f/FadHSpeSnV/OjqGl6vvkt+sVt7tymyE
iOP8iaepbwsJZFRmbbhY2TkLg+n65YZp+1ONi8eerFmnvDbpw2pb8497rdyOrJfQ11TyjxbPXnOe
8j1zk959AG2OZL/F2eee4X1SSZxqq9vE1dg+eZ2sE9cmfbmmxnGUfcPF1ePxq+AtHOcufb2see35
4qnr9ZdJjjXufe+Tjjs2bFbhvNckfYqaTt8lb5ZyuWoF3lJloF70cf+bfkcdS1lmHLZMd59Kmy6p
LMc3wbL8mcazzrpMToG7X8Ste+gYzT/lTXWV+7GGSv6RYrvYqwUnX5r0IQBocyT7rSybrSb7FW7D
lxBX2eefqWaSfcPFspYuCfra/eNp5VjFbmXf1H69+51nnKOO0zd7iVqlou4apSruuuw3ZA+Wkj5V
TaN47kXKn7ShoadescVuR1Z9l/1O0qeh5Qyd95tyBkoNlfqZbzND8zTnwt9K+vDazvxTLpXbkalM
3XerffmTjOecdLF6Fx6f9GEAaGMk+y3MPvcMmflz6iac83HkD+f8s2WGZiV92SbFFArKvOGiVPXU
xxVn3vQG2SuPTfoSxMZ0dKjr0svlWpL8ifiVnvk0xdbs2eq6/DeTPl1NITM0V71vfLPXS1/bUx9z
3Ll2vXrfSP9+WPpOOlcDZ72+2nsf8nbgrNer7yRuQxqXgWNP1+AJ59ZU7k1DJX9y8bwNb0r6UAC0
MZL9FuZX9V3VV7CJjxAX8k3Tu59548WyFsyvmVpfuS99m8SZy9qnul9442WylyypTMH3zkE5uO99
uuLO17xOHRu45dTR9F7xuzIDA7FM3z/atue//Y46Tzw16VPS9LKluRp6/Vvqp+pXKvNhxrMuuUrZ
Unu2MsUpU+jVgvPe0jBt351W3LN6g+ZuZEYGgGSQ7Lcoa+Vy2ZsqL+Bq+p7ZTry1LzgrjNMfKdPf
p8wbLw4q3e24zVxwjpxTT076UkSu87wLVHjzb3uVdONX0ZXquPuP/h9ljmE6/5H0ve0adW46W67t
989LZcskGvf/3rvlzCaBnIlZb7hKdmmoMk3fVPruTeixPWuWZr3hqqQPt+XNv+B3lZu3eFqV/PHi
eRf+rroXrUr6sAC0IdvqXPrhpHcC9bqzll4+VJ7Rf8P5jTfKHL86iI3qq9nE48dmoF/uo0/IfeKp
GZ3/KOXe/Qey1x2fijdHktyahfM19qOfSK+8EsNZj1/m+LXq+Z9/noo3V6ayVS6n7JrjNPLD78sd
GUn6NKZKz2++RV2XvCk4X/4bJEnHVj6v7LKV2v/d/0j6FDWlwUt+W73nXFx988tW/ZthIcfZ+Ysk
SQce+kXSh96SBk46X3Ne87vVgZaVOyTMJHYztrL9c7R7638mfXgA2gzJfgrNNNm31q5W5r3vlBxH
xk+M2E5+Wypp7D+/L42OTfsaRCX7liuV+Y03yRgT9LO7Rm0ZW6UBWQvmafTW7yd9WUJnz56tvms/
WzezoH7GRLpj09srZ8UKjdzKC1tf5+lnqOcdf+h9D1v15ysNsT0woOzipXrlzh8kfaqaysDrf1sD
b/ztulkWcWw7Vx4vGaNXfkXCH6beE87Q4t/5QDDjouzPugghzpbmqGP2Qr3089uTPkwAbYRkP4Vm
lOx3FZT5i/8uM3eoWgmVqi/siI8am6GSTHeXyj/66fSuQUScLecq+54/rO4vW1mLFsj09WrsrnRd
qxkxRn1fvE7qyFUr5paCW0U2S2wNDclZuFAHb+eFrT1Y0sD/+//VVdODz1MU2wsWyH35ZR3a9lDS
p6wp9G55k/qvuEqyqi0R/uDKOOKOlcfLfeWAXn3kwaRPRUvoXLRCw9d8PKjMB+c8xDg3Z5E65i7W
nnt+mPThAmgTJPspNJNkP/Pf/0jWplODSrXkV0KJpxJbq1fI3fWC3F9tm9Z1CJt13Crl/uIDMpmM
t7/+frOVtXKFNDam8r33JX2ZQtHzv/9R9uyhxJfjh7F1Fi+W6e7Wobv/K+nTmhirt0+z/ulfvAk5
lv9miEltnF1/ssaeelKjv05vK1Ma5E88TYN/8CfemyV2ZWaFv9w+xrjz+JN08IlHdOiZ7UmfkqZm
ZTu07OP/v0gq+o1xbv5iOd092ndfC71JDSC1SPZTaLrJvn3lZXJ+579J8pJXV6pbnk48tdg64TiV
f/oz6fkX4rz8hzG9Pcp97H/KzJqVeCU9rVv7pBNU/uUDcp9+JopLEJviZz4te9kxXvVOaomtc+yx
sopFHbr77qRPb+yy605U/7X/UFdJ95bNpzvOnXGGTK5DB3/+s6RPYSoVzjxfg+/5oFdhNwoq7UnF
hU1na3TXTh168rGkT01Tys5ZoKWf+pdg5UTZrryxEmGcW7JCTneP9v+y/X4ups0cLdI+7Ul6N4DI
kOyn0HSSfevUE5X5iz/1cp9KxZPtDLe5rKxFCzR283cS/X7IfeR/yF53nBc0vClBXI3tc87Q6L/8
X2ksfbMWjsZZeayK//wlmTle+42pTLdXZZhas8fOqpXKbN6ogzfdnPSpjk3nmy5T8U//NKicB+0O
TRI7q1cpu3atDv3yl3L37Uv6dKZG71VXq/e3316tsFuSgkp7cnHHKafLKnTr1Z+37yqa6ejeeJ7m
vf+vggp8nNvcMceqY9kqvfLAvSq/eiDpU9GWFlor9Nu59+up8sPa4+5OeneASJDsp9BUk33TW1Tm
4/9Tprcn6V1vOWbOkEyxW+W7knkBlXn378t+3fmVnRHbibaOLef8szT6r18P7wLEIPe7v6X8B/+7
5NjBsQST7VsoNv19yl1+qcYeeUzlp3ckfdojY/X1qfBHf6TOyy8LKub+mx7NFltzhpR7zWtUfuYZ
jT3xZNKnNlGZY5ar/70fUG7TmV51tnKeypXzloY4e+yxyh53gkafekLlF0hcJmJ396j/zW9X72++
tVp9T2Brz56jwmlnaHTXszq049dJn5a2sjh3vC4tfUDF4jwN59fr2YOP6qWxnUnvFhA6kv0Ummqy
73z4fbJOrFZ+2Ya7tVYfK/16h9xHHp/0NQmD86aLlfn9363OFKh8EB85NsVuWUuHNfbd5hh+1Pnf
/1jZyy/1kispSLJaNs5llTn/HOnQIY398v6kT3/osueeo/y7/0iZk9dXE+fK8Tdt7DjKnrlZpljU
2GOPyz3QXhVI09mpwqWXq/iu98ieP68yIM8Eg/LSFltDQ+o86xzJGI0+9qg0Opr0KUydrvNeq/4/
+GN1rD856KUPbpmXQGy6u9S58UxlZs3W6LM7VN77UtKnqOUNF0/Ra4/5gLLFAY0UJNPVpeH+U/X8
K0/qpZGnk949IFTG7j/fnfl/BmGaW3C0Y//kfkHbb32z7Kt/1+s5d8U2oq327NWhq94td3s8FUnn
Ny6V8//8vvfC2xXbKW7H/u83dOiT18ZyrabDWjBPuT9+l5z169JwuhLZHvz3mzXyqc8kfSlC4axe
pezlb1L2jE3Vnxv+8bZQ7D67U6/+yw06+I1vJn3KY9Hxmteq8/VvkLNokXcCpGobURPEo089qVe+
/u969T++lfSpTIXc8Seo8PrL1HHiydUH/W/0lMTlA/u1/+tf1b5//6rcgweTPmUtaXhos85a86dy
7Jxc15UxRq5cGRmNjo3o+/f9lR7fyV1k0DpI9iN2zVWbtWr5kCTptju36cab7z3qn5lssm9tPEWZ
/++jwS931615MU0celz+yc906J0fiPT7xVq5XPbbr5S9+bTks7Em37ov7dXB3/tjuU+kZ2mkNWe2
nIsuVOaiLdJAf83u+i822it2H35Eh26+RYdu/rbUhC9szUC/cv/tTcr+xuXJ/4CKMR798U818uV/
1dgvfpn0JYhEdtMmdbzhDcocf1zw/epn080Yj/7yl3r13/5dB++4I+lTm4jcSacot+kMdZ53vuTK
S+5qvp/TGB96dJte/cH39eodP9TYcywtD0NP77BWrLxMw0vOrynmVJL9hvjxx/5TDz34Ve156fGk
dxuYMZL9CF1+0VotW1LSpz//Q+U7s3rv1WfpG9+5X3fePfEPj8kk+2awX84/fUZmaDDxpKqdtmNf
/LLG/v6fIvl+sX/nv8l5+5VSriNVlYZmj0f/5u81dsO/T/l6hMlatED2RVuUuXiL1N1VXTESvLhr
79h94imNfuMWjd58i9x9+xO9VpNhit1yzj1L2d+4TGbO7MRXHiW1PfQvN+rQN76lckwrnqJkDfQr
c8ZmZTZvkrP2+KR3JxKjv/ilDv3wdh364R0q727tnn5raEi5zWcou3mzMitWBI+n7NfT0eNXX9XB
22/XyO0/1MGfcqu+6SjOWqZZw6dp+MTLZGc6Jv0DbuzQq3r8Z1/Vc4//WHufS8dtmFFv0JqnMzsu
13LnRP3nq/+s/zqY7EDttCLZj0ghn9W7336GfnDXo0Fyf/lFazVUKura6yZeHnS0ZN+ceJzs375c
1uZTkz7MtjT6/16r8re/L+19OZT/njl+lZx3/JasU9cn/mZGq27dXz6gQ3/z93IfeDi27xNJspYt
lX3xhXIueY2Uy1avufy6G3Ft7O54RqM33aKxb3xb7gsvhnw1ZsYUu2WfdrL3seFkmWJ30ruUGmM/
vltjd92tsR/f3XSJv3PKScqctVnOGZtkurtS8fMq8p+H+/fr0Pdv1+gPbtfoT1tner9VKilzysly
1q1V5rTTZDo7gtzNP/5mjkcfelijP7tHoz+/V4e2bk36dKda5+B89a04TX0rTlXP8Fr5y/Snu93z
+L168aGf6MWHfqxXnt+e9OG1vVJhqVaVLtTa2a8PVmbISHtffVa/2PkN/WrXrTpwKF2vIZJEsh+R
0kCX3nHlafrc9T/Wrt3ebYs2njysMzcs1ac//0PtP3DkJavjJvuOI+viC2RdcKbMySck/Vqh7bfa
/aLK//kDlf/je3Lvf2ja3yf2294s++1XSo4TxrcdjmLss9dp7LqvRPp3mLmzZZ18gqyTTpB93lne
K7Wkv2GbbOs+v1vlH/5I5bt/rrH/+rn0cjK3fjPFblkbvOTeOu0kmZ5iIvvRTMbuulvlu7zkP64Z
J1NhLT9G9rHLZZYtkX3sclkrV6Tmza4k4vKDD6n84EMae/gRlR94SOXHnojlOoTFWrRAmc0bZZ96
spzj16Thx1cs2/Ku5zV2z7069MM7NXr7nUlfhkQ5PQPqXHiMOhYco9zcReqYu1i5OYsi+/tGnnlS
r+54QiM7ntSrv35Erzz1iEb3tPZKmaTlOnrU3btIcxacpv6hVeovrZT/L8J/U6Y2PnRwv17Y9aB2
PfsL7dpxj/a+9KTGRl9N+jASQ7IfkZXLhvQbr1+na6+7Y0bJvhle6CX5rzlbKg0mvmyT7eHb8l1b
Vb75P1W+5bajf2N0FWSWDcs6Zljm3M2yTlqb9Ldq2ynf/XO537tD5UeekPvoE6Gs0LDWHCtzyomy
N5wks3Z1Ol4Ntsr24CGVf7xV5bv+S+W775H7ZHRVFTNnSNbxq2StXC5z7DGyjl0mt7MzNZW9ZovL
Dz0i91fbVP7VIyr/4v5472iScbw33hYukLVmpazVK2QtXyp1d6fj+zqlW/f5F+Q+/KjGfnG/d82e
2Sn3mXT0jFvDi2Qds0TWsqXemzXLlkh9fUHPe/X3cvvFY488JvfRx1X2Px55XO6u55O+ZOFc9+6i
7P5B2QODsvsH5VS29sCgMgsXy+4fTPyF4NgLz+vQU09obPfzGnvheY1Wtn5cfnlv0qcx9TLd/cr2
lpTtnaVsb0kdg3PVMWuR8rMXySn0aKY/4EZe3KlXnn1Srz73lEZ2P6ORl57TwRd36uBLz2ls5JWk
Dz9SJPsRmWll/9kTT5K55AJZ52ysfq/6iFMZu08/K/em76h807flPve81Ncrs2xYZtkSmeVLvM+P
WSxZduI90sSVuDwm95EnpEefULmydR95Qu6zz6mW6e/13mybNSCVBmRmDXrbQl5m/VqZvp6kX6O3
z/bJ7XK3PSb3pb3Sc8/L3bU72Lq7npdenqDnP5eTKXZJPd1Ssdtbil8akLV2tcyaY2Xmz0nBAbbw
9sWXVL7/Ibm/eEDur3dIe1+Wu+dlb7v3ZWn/JG7rV8h7182/fsUumXynNHe2zNzZMnOHZObNkQYH
UvFmcMtsd3hJv7vjWbnPPCf3mWelV0ekPXur13DPXumVaVTPurtk+vu8n7P9vTL9fd7vz/7Kx1BJ
ZtkSVsBN1Z6XpZ5uuc8+571h8+xzKle27jM7K48/F8twVFMoyBTyUqEQfG78z7sKUj4v01WQCbYF
WaVBmdKATC6X/Pf/TLevjqj8/POy5s2T9u5Vec9euXv3yvW3DZ/XP/9yorfQNI4jOU7NNtMQ12xt
RyaTkWzb+zpJJpPxrmvlw8oXqtvOvOxSSdZgyfvzCSm//LLGdj2n8p6X5B44IPfAAZVf8bbuKwdU
PlD93GRzckcPSWOjcg+NetvRUWl0vO2h+sfGxpK5hiT70SgNdOmaqzbpK1+/Rw9u894VP2rPfldB
zspjtLw3o9GytP9QWQfLrvKOpZxtiJsotmcN6OWuovTwo6nYH+Kpxfn9+3TghT16pa9fnV2die8P
8RSv3ysHdOD5F/SqlVHn7JKsUr8OjJZ1qOyq07GUtUy8sW10YNTVobKq8Vi5Gse9P2mOLaP8/pf1
yjPP6dDeA8r3dskZGtTejnzC18+/XnZ9nEnZ+UtDLFcjz+3W6LO71LvnJeXdUe05OKZXR10Vs7Y6
HUNMTBxj/JJsvWpnVOjqVC6f015ja8TOKF/oUKYzp32Wo4NOJqSfl1b9z8fg919Kfj6lKbaknFy9
sv8VHXrloArlUXWOHdK+/a/o4IGDKrqj6iwf0sv7XtGOF1/VyNj0UnaS/QjVJvfjJf8AAAAAAESB
ZD9C/kT++XN6JUnXf23rUW+7BwAAAADATJHsAwAAAADQYqykdwAAAAAAAISLZB8AAAAAgBZDsg8A
AAAAQIvhpqUIxTVXbdaq5UOSpJGDo/rf/3yX+nvzWrdmvm646R5dcck6XXfDT3TVFafqnvu2jzuo
8Ki3JkSsCvmsrv6djfrWdx844h0kLr9orSTpxpvvrXuM6xi/yy9aq7M3Lhv3uYmGg15+0Vrt2LlX
d979uFYuG9Lv/dYG5bLer4a9+17V3/zD97Vr976kD69tbTx5WGduWKpPf/6H2n/g8Pthr1w2pNee
u0r/8H/urHu+kM/qqitO1Q033cP1i9mRfnZOdC3fceVpuuOnj9fdqtf/9+z/TuVOPvFovE6lga7g
Ncx4/wZrlQa69I4rT9Pnrv8x/+4SNN6/H0nadMqwPnf9jyf137jmqs1HfL2K+E3mNalUvW7r1swP
8pJa7TgsnWQfofATO/8F5vMv7Fd/b37CP1P7BkGtz378srr4gYd3kjimUGmgS+vXLlCxqyP4pXrP
fdu1dPGgil0dwXXkhWo8brz53ro3XXzXXLU5+HwyL0QfePhZfe76Hwf/lhGfid6w+eSfXVIX176p
+tT2F4IkZOWyIW06ZVhf/refJX04bSvfmdXIyKieevrF4LHSQJcuOHOFOnIZnbB6XvBiszTQpfde
fZaKXR1at2Z+8AabVH1R+o4rT0v6kNrKnXc/rhdeOqA//cNzdO11d+iKS9Zp1fKhw/4NSocnDsuX
lLT35RES/RS4/mtb9fP7n9bVv7NRnR0ZbTn7WM2f01v3GvO2O7cFvzeP9MYpkrPx5GGtWzN/0jnA
xpOHJXn/htstoZ8IyT5C4f+DvO6Gn0zpz/m/KGuri40VDsRjvB+qIyOjev6F/UFce52uuGSdvvGd
+3Xn3Y/rmqs261eP7NQp6xYGj1HhT5eVy4b0lv92im646R5J3vW+8tL1wfMXX7Ba3/jO/UnvZlvz
37AZb8WMr/bnYyGf1Rtfc5zmz+nV2RuX6YGHd2rnrr16ac8rSR9K26p9E9tPDr/2rV/olHUL9Z0f
PKSHH9uld1x5mh5+bFeQEO59uZrg+4n9UKmoHTv3Jn04bevBbTv15399izaePKxid07v++hNR0wA
G3+WSocXLSRWSiXp7I3L9IO7Hq1LADeePKy5Q8UJ/9yVl66vu7btWBVOk1zW1rveWi1g1BaTalfk
oB7JPkKzc9de5TuzKnbnJv1nGn+Q+p+vWzNfEr8c43Tn3Y9r3Zr52njysO68+/HDruXKZUNaOL9f
3/reg1q5bEgjBw8Fib6/1O3W2x/WymVD+os/2aJrr7uD65YSF551rF4dOaSP/O23gxesu3bv08/v
f1rvfvsZwYuglcuGZvg3ISxnb1w2bpV/5OCo7vip92Jz4bw+7dq9T3/5d7dK8lZWvfvtZwTJvyT9
xZ9skcQKqbhce93th70h8+63n6Ftj+0KkoQf3PWo3nHlaXUvSt9x5Wn6xQM7JHnV4dJAQQ8/tivp
w2k7/kqLb3znfv38/qd12vrF+sFdj+rP3nOBil0ddV/rJ37+x1SrkIhW7evLl/eN6LKL1gbx9V/b
etRE3/86kvv0GDk4ps988fbDioErlw3ptPWL9enP/1AnrJ6nuUPFcd8sb1ck+wjF3KFi3YvT5UtK
krw3ACYyUWX/qadfZBlxzK674Se6+nc26oWXDtRV9EsDXXrja47T567/sfYfOBjMY/CrF6uWDy7K
OEYAAB0+SURBVB1W2fCTDIlfmEnr7srpX/79Z4dVphbO61NpoCu4di+8dCDpXYWO3JLRaOmiAR2z
uBT8O7xr6xMaOTim9330JkmiZz8BpYEu5bIZzZvdozUrZkuStj22q+56+j8L/esjSZ+7/sdaMLdX
x6+aqzM3LNV3fvBQcN1e2vOK3vXWzbxhE4Ndu/fp/R+7WddctVlzh4r6m3+4TZKO+vurNNClMzcs
DfrBWRKevG999wEdv2quPnf9jzXYXwiux2vPWVn3dY2zamrbNRpf29CWGI/G1TK1K2VqK/tStSj4
N/9wW5D033v/0+Ourqn9+nb6vUiyj1DUvjj1l6BOxmQq+4jP/gMH9a3vPqBNpwzrjp8+rp7uTg32
F7TplGH923/8Mvjh6L/wqX331O8VnuzwG8Tnm7c+oDe+5jj93m9tqHuhsnTRgLY/s0f33v+01q2Z
r3vu2570rra9I80yaeT3mv7knqfGncNQGuia0iorhGP5kpJ27tqrV149pL6eTt14870qDXTpmqs2
BwPe/NVQ193wk2Alhv/m6HgvRCf75g/C47+pMt4SfenwlTJnbVhadx19fuJIkhgv/9/d8avmTvh1
O3bu1YPbduo9f/7vdY9PdhgcojFez/3RZg75bW3+SsVbb384eK7d33wj2Udorrlqs+bP7dGjTzw/
qV7DkYOH9Jkv3h4klg9u21n3j/nAKwep7CfgwW079eC2ncGbNhMl8I1LjR94eGfd5OI3v/FE5i8k
bOeuverr6dRf/t2twZLiNStm676HntWcoaKe2v6CXnn1kK697nZtPHmYfu+E+T8XJ/o34/ea1g70
+4s/2aKX940om7WDCpX/uNSe1Ywk+KvcfOvXLtCXbvipJGmwv6A/e88FwVwTyavo+7/zJG85/0Bf
Phja5+P6xat2SX5j0uG/sV2r8Q2Zdk8ukvaOK0/TAw/vVLG7Q3/xJ1t019YnNH9OT/Dmy/Vf2zru
n/Nf93zrew/WPU7ynxz/zdHGtqbGfMF/4xSHI9nHjPkJxA/uelTXXne7LjpvlV546YDWrJh9xKS/
kM+q2N0pScplM8GynG9994Hga05YPU/F7pwOvMIvyritXDakNcfO0V//w216w5Y1WrlsaNxfcI2T
bBtfACF5O3buDVbK7D9wMOjvPvG4+brjp48HS40lL1EZ798styCKX+PSUqn+FlKSl2B8v9L/3Vjt
2HjysC6+YDUJYsz8pM9/Q8avMM6f26M/+N2N416PvS+P6IpL1tWtrNm+Y4+uu+E7wa3fmMgfL1Y6
tQZ/+OVgf0GzBruDN18K+azO3LC07vfdNVdtVrE7d9iAN/9n8Y/upnARJz+32PvyiO68+3GVBrqC
5/wVN9d/bat27d6njScPa9tju7T35ZGkdzuVSPYxY7UJRK3enk7d99Cz4/6ZfGdWuayt51/YX1fJ
Kg10adOpS/QXf7JF2595Sbfc9iu9+Y0nsjQ8Rv4vtq/efK927d6nf7/lPl1z1SZ95ev3HPaLbrzK
PtLl4cd26YIzVwRv2DRWKPxkv5DPauH8/nH/zY4cPEQ/fwL82yBK1crSkSxfUtIbtqzR567/cXCb
tzt+8ljwGOJ39sZlOv3kYX315nsryXv1Pu3+bBpJyuUc3Xv/0zpzw9Kkdxny/q1JmnBAYrG7U+dt
Xq7VK+aokM8csaLYeLu+2jfIET9/dU2xq0Pbn3lJSxYNSPLe3Nm5a6+uva56bf7PjXfrvVefpVzW
oQUjZrVFRL/IsGv3Pv3bf/xS/+OPztPIwVH9+V/fclhrae2thlFFso/QzalMOC12d+qpp19UvjN7
2NectWFp3b1o+3vz+sQHL9L9Dz2r7Tv26Iabvh+8W8ey4vhcc9VmLV08UPeLbdfufbr2ujv03qvP
0tZ7f133QmW8yr739QyRSotdu/fpvl89E/TrS1KxK1c3gFHyVtKMjIwe9oIm35lRLps57OsRvVXL
Z9cNGRo5ODru1xW7O4Iqfu2bdf7w02uu2sy/yRjU3g1Bqv58LA10Batr/K/zV7atWTFbT21/Qbfe
/rDufWBHUMGfP7enLlFkfk18Fs7r08jBQ0dcEfP8C/uVy9rqyDna8exL4ybvLONPh9pl/JJ37d7/
sZslVd9A/a97fx38fGxcUcVw4WTUFhFr52Yw+2J6SPYRitoXOdufeUnF7k79eOsT2n/goPYfOFj3
QjObdTRUKuqGm+5RIZ9VaaBLF18wGCxvvOaqzUGfaeOyVUSjdpnaeEmBP6H48ovW6m//4g1116T2
2t9257a6eO++V/Xvt9yX9OG1Pf/FqN8uc9ud2+peyHZ2ZLR29by6Nhr/Bep/f+e52v7MS7TTxGy8
oVHXXLU5uIZ+z+lgf0G7du8PpkyvX7tAf/l3twbX119S/okPXsSS/og1vkD1b+114JWDKnbn6pL3
7c+8pKeefjGYWePPX9j+zEt65dVDLONP0Lmblk94J6Fdu/dp22O7dO7m5bw+SaGVy4a0avlsrVo+
O0gM/dcljSstHnh4p55/Yb8+8cGLVOzqIJlMido3Xfbue7Wuij8VtQNvb7tzW9u+8Wbs/vPdpHcC
AAAAAACEx0p6BwAAAAAAQLhI9gEAAAAAaDEk+wAAAAAAtBiSfQAAAAAAWgzJPgAAAAAALYZkHwAA
AACAFkOyDwAAAABAiyHZBwAAAACgxZDsAwAAAADQYkj2AQAAAABoMST7AAAAAAC0GJJ9AAAAAABa
DMk+AAAAAAAthmQfAAAAAIAWQ7IPAAAAAECLIdkHAAAAAKDFkOwDAAAAANBiSPYBAAAAAGgxJPsA
AAAAALQYkn0AAAAAAFqMbXUu/XDSOwEAAACg+fz+VRdpbGxMzz734oRfN2/uoF5++cAR46i89be2
aNHCIf3q4V/XxWduXHvU/X7LlRcql8vo6R3Px3Q2w3PG6cfp9FPX6L4HHk96VySNf70br81kJXld
hhfN1u/+5gV640WbtGLZAj2943m9vO+Vuq8598x1///27jw+qvJc4PjvnFlCNrJvZCOBbGQhC6CE
JSBIFQGxFBEVpIgiiIBV0fbWVq1tXarCbdVe69aLe6VYBK16UcO+byGBsCSEQPaEhCQkmcnMuX/M
ZMhkhxa9cp/v5+NH3zPveZfzxD+e877nHObfeSO3TBlNSlI0tbUNVFbVOtVJTR7EgrsmM3N6Fukp
g7FarRSfrbzkdnojK/tCCCGEEEKIy5I1KoWwAb5omrXbOsvu+zEzpo1x1OlYvlJUVWVCVjrFxWVo
WqtTeWxmcq/jzhyRyMCIQDTN8v1c3H9BzKAwRqTHommt3/dQuox3x9hciu8rLglxETz/1EJ8fTzZ
sy+PqIhA/vD0vYSG+Dnq3D7zOhbdPY3jBcV8/MlGGhsbePqX80hJjHLUmZCVxq8fm0tzs4nPvtxO
ZVUNyxf/mJnTx1xSO32h/06vkBBCCCGEEOIqowFWultHDPD3pqKiCjQLKGqn8pUSHxuOwaDjUO5x
QOlQ7n3ctipWe70fKM0Kyvc7hK7i3TE2l+LnT75O04V6vuu43HvXTRw8fIKnnn0TUFi7fgsv/HYR
c2dP4HcvfICvjxczpo3l3Y++ZM0/vgFFR/a2w3h7eTLlRyM4ePgk/T3dWTB3Mv/YsIW33lkPqKCo
lJXXMOe2SaxdvxlPD89e21H6+P+NJPtCCCGEEEKIf0nMoDDGZqbS2mph685cThaWAJA5Ygg+3h7o
VI3rxqajoTqVt+/OZ0RGHIVFZRgMeq4dnkBDQxObtuVQW9fgaN9o0DMhK52YwaFoVo3DRwrJ3nII
q2ZL+Ianx+Hp4ca+g8cd5w1PiyMntwCTyQyK0blsTzAzUmMZm5nKhaYWNmbvd4y7O4EB3owZmUyA
vzelZdVs2pbDudp6pzrRA0PIvCYRd9d+7M85QWlZNVGRwWzaltNtuwOC/Rg7KoX+nm6cLCzh2y0H
sVisfZo72LbJj81MwcPdlW07czu1PzYzmcKiMtzdXRl9bRImk5ltu/I4UXC22zH19ZygQB8mZqUT
HORLeUUNGzftp7Sspsv4b9+dT3OLyRGLpIQoTGbIPVrkaG/0yCSKz1RSVFwOgE6nkjVqKHn5RZSV
1xA3OIySsmoKi8r6PM7e6qSlDAZg/6ETTnNLSxmMXq/jbGkVUZEhvLH6U2wJuh6LVeHTf+5k0d1T
cHXRYbFYeHP153ydvRMUHYpiS7XLKupISRwImoUWUyurP/iKrzftcqpzMPcU8w16IsP8qahq7LWd
vt4kk238QgghhBBCiMuWOSKJR5fNRlUVQoJ8eO7JBSTGRwIwYVw6fr6ehIcFMm1yJpPGO5dd++lZ
+NOp3Dd/Ck88NpfIsEAmTxrBn/6whKjIYEcfv3zkTm6bMR5LaysGvcriBdNYOP8mNHvCe/vMCSxd
OJ3QEF/HsWFpsezefxRQURSlQxnGj0lj6cIZWDUrg6NCeP6pe8hIjel2nsPT43j5D0sZk5mMXq8w
ISuVV154wDFXgInj0nnht/eRGB+J0ahy712T+cVDt7Pwp1O63XaekRrDfz67hOFpsfRz0fPTO37E
rx+bg6oqfZr7sLRYVj1zP4nxkfRz0fHQkhkMS4t16uO++VNZdPdUHrr/JyiKRmR4AM89uYCkhEi6
05dzkhIG8sfnljAsLZaWlmZGZMSx6pnF3cbftZ8eTdMcsUhNiWXxgmmOLf4+3h48vORWZkwb7TgW
FxPO0oXT0amgaRrz7riBa4bF07ay35dx9lZncPQAViy7Fb3+YnpsNOh5dPltJMRFMGhgMJqmkX+s
yJ6A22Jz9Hgxep2eiPBA6s43sv6LHVxotgA6ALz6uzNyxBBy8goBDZPJzIYvd9LUrg5AeGggoHC+
/gLn63tvp69kZV8IIYQQQghx2YICfXhgxSoaG5sAHY+vmMO0G6/h8JFCfvPcOzz9H3dRUVnDqj9/
DCg8/fg9VLYrA4SHBrDs0VXUnKtDrzPw+KNzWTjvRh594g3CQgNJSYzmid+/wf5DxwCV6w6lM3f2
JN40bqDFrJG99SCHc92orq4BNAIDfAgPDWTPviOgqAQGeDuVAfx8vVi6YiV15xsAlRXLZ7Ngzg3s
2X8URdE5zdFo0LN04S1s353Li398H00DVVF5eNltLF98C/cuW4mbaz8WzJ3M2k8389f3NgAK/Vxc
ePH3iwENtFbo0K6qKCy6exo79uTy/Kp3AYXwsCBWPrOErMxE8k+W9jh3s0Xh/gU3s+6zrY4++3t6
8MqLy2lubnaOU4AXD6xY6YjT7361gKk3XENOXmG328J7O2fJvdPZtjOXla984LgmDy65lcV3T2Hx
w3/sMv6BgQGOWIQEB3Dz5FH4eLlSe76FpIQoKqrOMSQuwrGCnZo8iLOlVZw5WwqKwTYwzUL7RzD6
Mree6ny96QCzfzKejKHR7NhzHEVRyEiNpZ+Lga+/3UVGWgLn6xsxmVtBMTquT1V1HQC+Pp5Aqb0v
HXNmTSTA35uM1Fj2HjjG2+9ucPyt224UXPw76O/pxp2zJrL3wDEqKs+BYnTU6amdvpCVfSGEEEII
IcRly9560JZAKUYUVc+p4kpCBwTYEzLsCa4CqCiq0Z5Ity/Dpq0HqDlXB4oRi6aydv024mMj8fV2
xWQyo2kaaUNj0OldUFQD3249zPz7n6e5pRlN0/hk/VZeX/05peW1gMKwtDiKisuprDoHqJ3KYOuz
7nyDfdwGNnyxi5BgP0ICvTrNMSUpGk8PV9776As0TQHFgKbo+WBNNgF+3iTEhJCSGE0/FwMff7LR
tvqrGmkxa2zZntfttYsaGIK/b3/WfpptG5di4EzJOZ5b9REHco5hMpl6nHvc4DB8vD349PNNjj7r
G03sP1TQa5zyT551jlMfYtv+nKjIYIIDffho7Uana7J2/TZCBwQwIMi7y/gPT493xCLvaDFNzSaS
hkShaRrJiVHsO3gMb28PggJt56clD2bH7lxA6famRF/m1lOd6przHMgpYMzIFGw3EWyPExw7eYbi
sxUYjUZMZrNtOsrFZNtssr1c0Gg00H7FPcDfG6/+bpjNJsJD/QgJDgCl8zq7v29/nvzFPBQFVr36
EW27UC61ne7Iyr4QQgghhBDistWcO++0tbm11dIp+elNWUUNcLGNkrJqQCF0gD85eWd4Y/VnzLlt
IuPHZJCTV8iBnJN8u/kAJrPiOEdR9I5Fz2FpsezZfxRbgqh0KgNUVNU69VleWQsoBAX6Ulrh/Bx+
2IAAmppNlJZVg2JwnHO2tBqrFQaE+OPp2Z+68400Xmh2Wv1taGymu9XYkCBfWzslFU7XcNfefPu2
/5Ye5x4WGoC51ULNuXqnPuvONxIe6t9jnEym1l7j1NM5IcG2t9A/8dg8+24JWx3b4wcKQYHelJTX
dmqzfSwsVisHcgpIToxm8/ZckodE8c6HXxAVEUxi/EAa9p1gcHQor739SY/Pqfdlbr3V+Tp7Pw/c
ezMuRh2KamBYWhxvrl4PKJhMrbi6unTqt+1YS4vZ6fiLL3+MZjWj16ncd/c0nnhsHguXv4S59eIX
CRLjB/LI0lspLa/hid+97rjxdKnt9ESSfSGEEEIIIcQVcAnPFutUp3y41Z7MaFYN0Fj/xU6yt+5n
aFI0SQlRzJk1gRnTRrPiV3/hfIfvtxuNBpISovjb2o2gqJ3K3fXZ9oy8htZp7IqiYLVa7f+ttjtu
n6kGjReacHU1Ouq3aTvWJYVO9S+2bdvq3dPcVVVBVew3MNq1odNdygbuy3mrvYZq72/Numz7Sw+d
FZ+t6HSsq1jsPXCMH08dha+3ByFBfhzOK2BwdDiJCdG0mKycq63n2Inii1v4L3Gcfa2zY88R7ps/
heHpcSiKAUWBzdsOgKKjuuY8Hm798HB3pbHpYqIdbL9Z07ad38PdlYbGJlv8VAMWDdas28b144cT
MyiY3KNnURSFsZnJLF80g6++2cNrb31Cq8Xabvt+39vpjWzjF0IIIYQQQnyvgoP8nMpBgT6AbcU/
0N+bGdPGUN9gYvP2I7z65nruf2gl3l7uXD9uqONFdW2GJkVjMpk5mn8KUDuVHX106DM0xLYSXl5e
02l8pWXVuLu5EBjg43Q8MjwIVVUoKavi9JkKjAYDQ+IHOo0pITai23lXVtmSxIjwYKfjixdMY8oN
1/Y699LyGnQ6leAgX6c+A/y8uNJK7depsKiUrzcfcvyz71ABA0KCaDFrdNzR0FUs9h44RkiQH1mj
h3KmpJLaunryjp4mMSGKocnR7Nx7xH72lf2GYGurheythxg9MoXRIxPZsTvPtksDlWMnzgAKqSkx
Ttc5NXkQLSYzp4vLmHpjJq+t+hk61TnFNhj0gEJTUzOgMTQpmuWLZrBm3SZeeX0NrRbNabfI1BtG
9qmdvpBkXwghhBBCCHHFWK0WdO3ect6xDDB6ZIpTgnrTpGs4UVhCVXUdvr5ezJk1kYnjUgHbirfe
YESn09NiMgMWpk8Zxd1zbiQ4yJdhaXHsO3jM/mk6pVPZ0ee1yfh6ewKgqio3T86k+Gyl/ZEC58Ry
f84JGhqbmTNrkuMXo9HA3NnXU15Zy9H8Io7kn6bgVCnLF81keHosUZHBzJ19PSlJg2ifnM2fcyM/
/9lsIsICOVFwltq6BmZOH+fYWRAVGcz4Mak01Dfg4+PW49yP5BdyoamF6TeNcfQROsCfVPun5C5F
+3H1RcGpUsorz3HHrddjNNrexaCqeu66/QZumDgCk8nUKd5dxeJcbQMFp8oYNzqVnLyTgMLR46cJ
CvRlSFwkO3YdpuOz7FfKxuz9ZKTGkT40hv/5do+j34qqWnKPFnHbjAm4u9t2avj7eTHtxpFs3ZGD
ydzKnn3HcDHquHPWOMcNAb1Ox8zpWVTXnOfU6XJcXV14cPFP2LYrl3c+/Nz+ngWD09x278/vtZ2+
km38QgghhBBCiCumqLiCiePSWLFsNu+v+bZTGeBUUSkrn1lC7pHTBAR4ExTgw1PPvgUo5B8v5qtv
9rLknulcNzYdk7mV2EHhVFXXkb3lAABZo4YSFRHIjl2HyUiN4b/f+xzHJ/dSY/hru3KbwqJSXvr9
/Rw9fobw0ED8/frz1DNv0/65/jYtLWZWvvp3ViybycuDwjl9ppLYQWEYXQz85tm3bcmrovCb59/l
/gVTeGTprRj0evYdPM66z7YwISvd0VbykCiiIgJZt2Ezra2tvPz6OlYsm8l/vbSc8so64mPDyT9e
TPaWfVjR9Th3k8nMW+/8k8ULpjIoOoza2kbiYsI5VVSGXn9pyXH7cbV99q4nmqax6tW/8/gjd/CX
VQ9SWFTOgBB/fH08efald2lptr27oH2801PjePX1tZ1isefAMWbdMpa/ffINoFDf0MSZkir8fPrb
bgB0+IrBlVJwqpSzJdV4eLhw6PBxp5fhvfLGOn77y3n8+cXlFJwqJz42guqaOt56ZwOgUlZxjtf+
+hkL501mREYilVV1REYEoSoqz658F6vVyqTxw/D2cmdQVDArn1nW6T0Eb6z+nMN5hb2209eX9Ck6
3+sv5yENIYQQQgghxP9zYzOTKSg8TXFJte0FeWB/S7sX23YeQlFdMBoNjB+djKJo7Nh9hMYmM9eN
Geoov/zCg7z/8VfkHy9mREY8tXWN7NidS1V1rX17sy0hGpoYSXxsOKqqcqakku27DmM2W0AxMCIj
Hg83A0fyC8kaM5xPP99E4wUzbm5u3Dw5k3WfZdN4wex4Dj4jNZYzZ85iNBpJT42htdXaqc/MEUMo
KS2j8HSFY26+Pu6MHB6Pr09/ysrPsX1XDvUNF5zGqWkaqmJFUaxYLFaW3DuDuJgIHnjkJRTVhaQh
Ubj105GXX0h9gxlFUQkK8GLk8Djc3PpRVFzOth05WDUc27t7mruiKAyODmF42mBaLVa27jiMXmf7
BF9OXgGKauxTnDqOK2vU0F7PAejf35VRI+IJ8PPmXF0D23bm2J5hV/Qois4RfxcXPf5+3rz/8Vdc
aGp1+ryhv29/khMHsnN3Do3235ISBqLXabZPDrZ7nr1jXPoyt77UafOn5x9g645DvPe3L536BfBw
d2HsyET8/LwoKa1i8/aDtLS0Om3DDxvgy7DUwbi6unKmpII9+45woakFFAPRAwcwMCLQ/pWAzjdj
DuWepKqmEUVRe2xHUfq2QV+SfSGEEEIIIcRl0+yJS/sExLYyrDkSOtt25LbV4rZ6tvJ7rz/O+x9/
yaf/3GH/zYrjU20dVtht7ba141xHs39mTdMUFMVK25v2bX1baP/m/Yv1VWzb37vus+u5tdXXnM5R
FYX777mZvQeOsXPvUVpbLQxNHsQvH76TdRs2s/rDL1BUo9P1cR5/2zjpZizdz73z7+1fIqj2MJeO
cXIeV1/O6XxN6OJa2363/VtDUfRdxLatjfbXpPNLEbuaS9/m1n0dVdWjaRrXDk9gxdJZ3LP0Wapq
6h03Broep3P8+/532v46daVj3e5j3hvZxi+EEEIIIYS4bEoXW6w7Jme2BKVjPZ39t47ndb9q2dPv
beOwtdc+2VXoKu25OG6l1zZ7n4vtuf8Wk5mHH5iJxWrFbLbg5tqPnXuP8GGHLwF0tTLb3Tj/Hdem
+7movZR7P6ena9Lx957y1K7a6G4Fu+O4+ja37utMyEpj7uxJuLv14/01G+07PLr+ikJvc73YrtrD
b33TW0x7PV9W9oUQQgghhBDfl7Yt9WWVdV2upP6QaJpGfw8XogYGoVNVzpZWUV5RA6j2be1X/iVz
4tLpdToS4sKor6+nsKjU9uK8H/jfIkiyL4QQQgghhPietW2pv1qS4bbt6jbKVTOvq1n7mF3K6vv/
ZT/82xVCCCGEEEKIHzTlO3rb+nc3H4Ur/V148e91Ncbs6rhlIYQQQgghhBBCCAdJ9oUQQgghhBBC
iKuMJPtCCCGEEEIIIcRVRpJ9IYQQQgghhBDiKiPJvhBCCCGEEEIIcZWRZF8IIYQQQgghhLjKSLIv
hBBCCCGEEEJcZSTZF0IIIYQQQgghrjL/C/h5XxBSAdimAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDI0
LTAxLTEwVDA4OjM5OjUyKzAwOjAw4PI/AgAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyNC0wMS0xMFQw
ODozOTo1MiswMDowMJGvh74AAAAodEVYdGRhdGU6dGltZXN0YW1wADIwMjQtMDEtMTBUMDg6Mzk6
NTIrMDA6MDDGuqZhAAAAAElFTkSuQmCC" />
</svg>
`,t="svg",l="动态",i="图表组件",r=!1,f=!0,s="时序",d=`{"type":"page","id":"u:270584784ce1","name":"page1","asideResizor":false,"style":{"boxShadow":" 0px 0px 0px 0px transparent"},"pullRefresh":{"disabled":true},"body":[{"type":"tabs","name":"tab","tabs":[{"title":"样式","icon":"fa fa-th-large","body":[{"type":"form","title":"","name":"basicPropForm","body":[{"type":"input-text","label":"名称","name":"nodeAlias","id":"u:6b126f0520cb","size":"full","mode":"horizontal","inputControlClassName":"w-100","className":"m-b"},{"type":"input-text","label":"ID&nbsp;&nbsp;&nbsp;&nbsp;","name":"id","id":"u:6232710ac003","size":"full","mode":"horizontal","inputControlClassName":"w-100","className":"m-b"},{"type":"grid","id":"u:c605398a724c","className":"m-b","columns":[{"body":[{"type":"input-number","label":"宽度","name":"width","keyboard":true,"id":"u:dcc0c21d16f6","step":1,"suffix":"px","placeholder":"组件左边距","size":"full","mode":"horizontal","className":"m-b","value":200,"labelAlign":"left","precision":2,"inputClassName":"w-full","labelClassName":"w-8"}],"id":"u:14cc19d6ffb0","md":6},{"body":[{"type":"input-number","label":"高度","name":"height","keyboard":true,"id":"u:cd6fdff9ca88","step":1,"suffix":"px","placeholder":"组件上边距","size":"full","mode":"horizontal","className":"m-b","value":200,"labelAlign":"left","precision":2,"inputClassName":"w-full","labelClassName":"w-8"}],"id":"u:4931801ca9b8","md":6}]},{"type":"grid","id":"u:da449a94908a","className":"m-b","columns":[{"body":[{"type":"input-number","label":"X 轴","name":"x","keyboard":true,"id":"u:29852d093d9d","step":1,"suffix":"px","placeholder":"组件左边距","size":"full","mode":"horizontal","className":"m-b","value":200,"labelAlign":"left","precision":2,"inputClassName":"w-full","labelClassName":"w-8"}],"id":"u:1b561d652acc","md":6},{"body":[{"type":"input-number","label":"Y 轴","name":"y","keyboard":true,"id":"u:dc8c1daed8ed","step":1,"suffix":"px","placeholder":"组件上边距","size":"full","mode":"horizontal","className":"m-b","value":200,"labelAlign":"left","precision":2,"inputClassName":"w-full","labelClassName":"w-8"}],"id":"u:9672575193ac","md":6}]},{"type":"grid","id":"u:a332a7bf83c1","className":"m-b","columns":[{"body":[{"type":"input-number","label":"旋转","name":"rotation","id":"u:f6a2dbb518f9","placeholder":"组件旋转角度","mode":"horizontal","size":"full","className":"","keyboard":true,"step":1,"suffix":"deg","value":0,"labelAlign":"left","inputClassName":"w-full"}],"id":"u:646cd98b7955","md":6},{"body":[{"type":"input-number","label":"透明","name":"opacity","id":"u:cf80f59d8d42","placeholder":"组件透明度","mode":"horizontal","size":"full","className":"m-b","keyboard":true,"step":0,"suffix":"","value":1,"inputClassName":"w-full","precision":2}],"id":"u:51ddf54ac749","md":6}],"gap":""},{"type":"grid","columns":[],"id":"u:235f153e5ad5","className":"m-b"},{"type":"radios","id":"u:047a1336613a","label":"渲染模式","name":"renderMode","options":[{"label":"canvas","value":"canvas"},{"label":"svg","value":"svg"}],"mode":"horizontal"},{"type":"fieldset","id":"u:2a93d8eee7a9","className":"","title":"布局","collapsable":true,"body":[{"type":"container","id":"u:1606d0ad8360","body":[{"type":"grid","columns":[{"body":[{"type":"input-text","label":"左边距","name":"grid.left","id":"u:1778e7d54c41","mode":"horizontal","size":"full"}],"id":"u:720608fd274b"},{"body":[{"type":"input-text","label":"右边距","name":"grid.right","id":"u:41e8804639dd","mode":"horizontal","size":"full","body":[{"type":"input-text","label":"右边距","name":"right","id":"u:175b96654696","mode":"horizontal","size":"full"}]}],"id":"u:fb776ace0e8b"}],"id":"u:aea0c21b7ba2","className":"m-b"},{"type":"grid","columns":[{"body":[{"type":"input-text","label":"上边距","name":"grid.top","id":"u:8f1e65861eca","mode":"horizontal","size":"full"}],"id":"u:97a259e6edde"},{"body":[{"type":"input-text","label":"下边距","name":"grid.bottom","id":"u:1774c755f248","mode":"horizontal","size":"full","body":[{"type":"input-text","label":"右边距","
  "nodes": [
    {
      "id": "0abd541c-81c3-4ecc-b57c-870569fa52d0",
      "type": "custom-pictorial-bar",
      "x": 200,
      "y": 200,
      "text": {
        "value": "",
        "x": 200,
        "y": 200
      },
      "properties": {
        "id": "0abd541c-81c3-4ecc-b57c-870569fa52d0",
        "width": 350,
        "height": 250,
        "x": 200,
        "y": 200,
        "rotation": 0,
        "opacity": 1,
        "grid": {
          "show": false,
          "left": "30",
          "right": "15",
          "top": "25",
          "bottom": "20"
        },
        "title": {
          "show": true,
          "text": "单位：kWh",
          "left": "30",
          "right": "2",
          "bottom": "2",
          "top": "2",
          "textStyle": {
            "fontSize": 10
          }
        },
        "legend": {
          "show": true,
          "orient": "horizontal"
        },
        "tooltip": {
          "show": true,
          "showContent": true,
          "trigger": "axis"
        },
        "xAxis": {
          "show": true,
          "axisLine": {
            "show": true
          },
          "axisTick": {
            "show": true
          },
          "axisLabel": {
            "show": true
          },
          "splitLine": {
            "show": false
          }
        },
        "yAxis": {
          "show": true,
          "axisLine": {
            "show": true
          },
          "axisTick": {
            "show": true,
            "lineStyle": {
              "width": ""
            }
          },
          "axisLabel": {
            "show": true,
            "fontSize": 12
          },
          "splitLine": {
            "show": false
          }
        },
        "codeConfig": "return option",
        "nodeAlias": "象形图",
        "showDefaultValue": false,
        "showUnit": false,
        "valueColor": "rgba(245, 166, 35, 1)",
        "fontSize": 12,
        "renderMode": "canvas",
        "dynamic": {
          "normalData": {
            "dataPoint": "",
            "compareType": "",
            "conditionVariables": [],
            "defaultValue": "",
            "unit": "",
            "customDatasource": true,
            "renderIntervalEnabled": true,
            "completeDatas": false,
            "legendNameType": "attrName",
            "dataFilterFn": "// datas 数据处理\\n// .....\\nconst xAxisData = ['电子', '石化', '能源', '纺织', '装备', '船舶', '轻工']\\nconst seriesData = [{\\n    能耗总量: {\\n        val: 1220,\\n        unit: 'tce'\\n    },\\n    电: {\\n        val: 120,\\n        unit: 'kWh'\\n    },\\n    蒸汽: {\\n        val: 220,\\n        unit: 't'\\n    },\\n}, {\\n    能耗总量: {\\n        val: 620,\\n        unit: 'tce'\\n    },\\n    电: {\\n        val: 20,\\n        unit: 'kWh'\\n    },\\n    蒸汽: {\\n        val: 520,\\n        unit: 't'\\n    },\\n    }]\\nconst colorList = [\\n    ['#F76B1C', '#FAD961'],\\n    ['#4D7CFE', '#51C0F8'],\\n    ['#0096AF', '#00D6BE'],\\n]\\n\\nreturn {\\n    colorList: colorList,\\n    xAxisData: xAxisData,\\n    seriesData: seriesData\\n}"
          }
        }
      }
    }
  ]
}`,javascript:`const { createApp, createVNode, render } = Vue;
const app = createApp({})

const xAxisData = ['电子', '石化', '能源', '纺织', '装备', '船舶', '轻工']
const seriesData = [{
    能耗总量: {
        val: 1220,
        unit: 'tce'
    },
    电: {
        val: 120,
        unit: 'kWh'
    },
    蒸汽: {
        val: 220,
        unit: 't'
    },
}, {
    能耗总量: {
        val: 620,
        unit: 'tce'
    },
    电: {
        val: 20,
        unit: 'kWh'
    },
    蒸汽: {
        val: 520,
        unit: 't'
    },
    }]
const colorList = [
    ['#F76B1C', '#FAD961'],
    ['#4D7CFE', '#51C0F8'],
    ['#0096AF', '#00D6BE'],
]

const historyDatas = {
    colorList: colorList,
    xAxisData: xAxisData,
    seriesData: seriesData
}

// 工具提示格式化
const tooltipFormatter = function (params) {
    const {seriesData, colorList} = this;
    console.log('params', params)
    const param = params[0];
    const dataIdx = param.dataIndex;
    let strs = "";
    strs += \`<div style='color: \${colorList[dataIdx][0]}'>\${param.name}</div>\`;
    const item = seriesData[dataIdx];
    const keys = Object.keys(item);
    keys.forEach((k) => {
        strs += '<span>' + k + ":&nbsp" + item[k].val + "&nbsp&nbsp" + item[k].unit + "</span><br/>";
    }) 
    return strs;
};

const PictorialBar = {
    template: '<div :id="lineId" :style="getStyle" class="custom-bar-chart"></div>',
    props: {
        lineId: {
            type: String,
            default: ''
        },
        historyDatas: {
            type: Array,
            default: () => []
        },
        width: {
            type: Number,
            default: 350
        },
        height: {
            type: Number,
            default: 150
        },
        grid: {
            type: Object,
            default: () => { }
        },
        title: {
            type: Object,
            default: () => { }
        },
        legend: {
            type: Object,
            default: () => { }
        },
        tooltip: {
            type: Object,
            default: () => { }
        },
        xAxis: {
            type: Object,
            default: () => { }
        },
        yAxis: {
            type: Object,
            default: () => { }
        },
        codeConfig: {
            type: String,
            default: ''
        },
        apiid: {
            type: String,
            default: '',
        },
        renderMode: {
            type: String,
            default: 'canvas',
        }
    },
    computed: {
        getStyle() {
            return {
                width: \`\${this.width}px\`,
                height: \`\${this.height}px\`
            }
        }
    },
    setup(props) {
        const { onMounted, nextTick, toRefs, watch } = Vue;
        const { grid, title, legend, tooltip, xAxis, yAxis, historyDatas, codeConfig, apiid, renderMode } = toRefs(props)


        let myChart = null;

        const initChart = (datas) => {
            // 基于准备好的dom，初始化echarts实例
            const dom = document.getElementById(props.lineId);
            if (dom && !myChart) {
                if (!myChart) {
                    myChart = echarts.init(dom, null, {
                        renderer: renderMode.value
                    });
                }
                if (datas) {
                    let series = [];
                    let legends = [];
                    let xAxisDataArr = [];
                    let tooltipFormatterBound = null;
                    if (Object.prototype.toString.call(datas) === '[object Object]') {
                        const { xAxisData, seriesData, colorList } = datas;
                        xAxisDataArr = xAxisData;
                        const seriesDataFinal = seriesData.map((item) => {
                            const keys = Object.keys(item);
                            return item[keys[0]].val;
                        })
                        series = [{
                            type: 'pictorialBar',
                            barCategoryGap: '0%',
                            symbol: 'path://M0,10 L10,10 C5.5,10 5.5,5 5,0 C4.5,5 4.5,10 0,10 z',
                            barWidth: '60%',
                            itemStyle: {
                                color: function (params) {
                                    let itemColor = colorList[params.dataIndex];
                                    let curColor = '';
                                    if (Array.isArray(itemColor)) {
                                        curColor = {
                                            type: 'linear',
                                            x: 0,
                                            y: 0,
                                            x2: 0,
                                            y2: 1,
                                            colorStops: [{
                                                offset: 0,
                                                color: itemColor[0] //  0%  处的颜色
                                            },
                                            {
                                                offset: 1,
                                                color: itemColor[1] ? itemColor[1] : itemColor[0] //  100%  处的颜色
                                            }
                                            ],
                                            global: false //  缺省为  false
                                        }
                                    } else {
                                        curColor = itemColor;
                                    }
                                    return curColor
                                }

                            },
                            data: seriesDataFinal,
                            z: 10
                        }]
                        tooltipFormatterBound = tooltipFormatter.bind({seriesData, colorList})
                    }

                    const legendConfig = {
                        ...legend.value,
                        data: legends.filter(Boolean)
                    }

                    const xAxisConfig = {
                        ...xAxis.value,
                        axisLabel: {
                            ...xAxis.value.axisLabel,
                        },
                        nameLocation: 'end',
                        nameGap: 5,
                        nameTextStyle: {
                            color: xAxis.value.nameColor,
                            verticalAlign: 'top',
                            lineHeight: 28
                        },
                        data: xAxisDataArr
                    }

                    // 指定图表的配置项和数据
                    var option = {
                        grid: grid.value,
                        title: title.value,
                        tooltip: {
                            ...tooltip.value,
                            formatter: tooltipFormatterBound,
                            borderColor: tooltip.value.backgroundColor,
                            textStyle: {
                                ...tooltip.value.textStyle,
                                align: 'left'
                            }
                        },
                        legend: legendConfig,
                        xAxis: xAxisConfig,
                        yAxis: yAxis.value,
                        series: series,
                    };

                    const func = new Function('option', 'datas', 'instance', codeConfig.value);
                    const opt = func(window._.cloneDeep(option), window._.cloneDeep(datas), myChart);
                    // 使用刚指定的配置项和数据显示图表。
                    myChart.setOption(opt);
                }
            }
        }

        watch(historyDatas, (val) => {
            if (val) {
                nextTick(() => {
                    initChart(val)
                })
            }
        }, {
            immediate: true
        })
    }
}

class CustomPictorialBarNode extends HtmlResize.view {
    historyDatas = historyDatas

    setHtml(rootEl) {
        if (!rootEl) return;
        const { properties, width, height, } = this.props.model;
        const { nodeAlias, grid, title, legend, tooltip, xAxis, yAxis, codeConfig, apiid, renderMode } = properties;
        const { normalData } = properties.dynamic || {};
        const { customApiDatas } = normalData || {};

        if (customApiDatas) {
            this.historyDatas = customApiDatas
        }

        const el = document.createElement('div');
        rootEl.innerHTML = '';
        const instance = createVNode(PictorialBar, {
            apiid,
            name: nodeAlias,
            lineId: \`line-\${properties.id}\`,
            width,
            height,
            historyDatas: this.historyDatas,
            grid, title, legend, tooltip, xAxis, yAxis,
            codeConfig,
            renderMode
        })
        instance.appContext = app._context
        render(instance, el)
        rootEl.appendChild(el);
    }

}

class CustomPictorialBarModel extends HtmlResize.model {
    initNodeData(data) {
        // 自定义组件，需最开始重置一下text 。
        data.text = {
            value: "",
            x: data.x,
            y: data.y,
        };

        super.initNodeData(data);
        const { properties } = this;
        this.width = properties.width || 80;
        this.height = properties.height || 35;
        this.text.editable = false; // 不允许文本被编辑
    }

    setAttributes() {
        // 自定义组件需重置 text
        const { x, y, properties } = this;
        const { textHorizontalMove = 0, textVerticalMove = 0 } = properties;
        this.text = {
            ...this.text,
            x: x + textHorizontalMove,
            y: y + textVerticalMove,
            value: "",
        }
    }
}

lf.register({
    type: 'custom-pictorial-bar',
    view: CustomPictorialBarNode,
    model: CustomPictorialBarModel,
})`,css:"",fakeData:""},u={id:A,name:e,aliasName:n,image:a,imageType:t,groupName:l,groupType:i,isRemote:!1,isDefault:!0,sectionType:s,config:d,files:o};export{n as aliasName,d as config,u as default,o as files,l as groupName,i as groupType,A as id,a as image,t as imageType,f as isDefault,r as isRemote,e as name,s as sectionType};