20200113
22350200
1.0
XTools Pro Metadata
FALSE
EMBARGOS_IPAAM_TESTE
002
Geographic
GCS_SIRGAS_2000
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>GEOGCS["GCS_SIRGAS_2000",DATUM["D_SIRGAS_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4674]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.9831528411952133e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4674</WKID><LatestWKID>4674</LatestWKID></GeographicCoordinateSystem>
20220217
19160900
20220217
19160900
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
areas_embargadas_ipaam
Base de dados de áreas embargadas do IPAAM
Áreas Embargadas
IPAAM
Áreas embargadas do IPAAM
IPAAM
Feature Class
dataset
EPSG
9.7(9.2.0)
0
Simple
FALSE
0
TRUE
FALSE
EMBARGOS_IPAAM_TESTE
Feature Class
0
OBJECTID
objectid
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
shape
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
Id
Id
Integer
4
10
0
cod_origem
cod_origem
String
25
0
0
nom_pessoa
nom_pessoa
String
100
0
0
cpf_cnpj_i
cpf_cnpj_i
String
18
0
0
end_pessoa
end_pessoa
String
180
0
0
mun_uf_pes
mun_uf_pes
String
50
0
0
tipo_termo
tipo_termo
String
50
0
0
n_termo
n_termo
String
40
0
0
data_termo
data_termo
String
10
0
0
des_tipo_d
des_tipo_d
String
80
0
0
des_termo
des_termo
String
120
0
0
qtd_area_e
qtd_area_e
Double
8
38
8
des_locali
des_locali
String
200
0
0
nom_munici
nom_munici
String
50
0
0
sig_uf
sig_uf
String
2
0
0
nom_autuan
nom_autuan
String
50
0
0
nom_autu2
nom_autu2
String
50
0
0
orgao
orgao
String
50
0
0
fonte
fonte
String
50
0
0
n_auto_i
n_auto_i
String
50
0
0
enquadran
enquadran
String
80
0
0
contrarian
contrarian
String
80
0
0
consonan
consonan
String
50
0
0
des_auto_i
des_auto_i
String
254
0
0
des_infrac
des_infrac
String
254
0
0
geom_pol
geom_pol
String
3
0
0
id_poligon
id_poligon
String
8
0
0
nom_pol
nom_pol
String
50
0
0
imagem_val
imagem_val
String
90
0
0
ano_desmat
ano_desmat
Double
8
38
8
log_desmat
log_desmat
String
1
0
0
julgamento
julgamento
String
10
0
0
status_atu
status_atu
String
100
0
0
status_ter
status_ter
String
90
0
0
sit_embarg
sit_embarg
String
50
0
0
data_cadas
data_cadas
String
10
0
0
dat_altera
dat_altera
String
10
0
0
nom_cadast
nom_cadast
String
50
0
0
num_lat
num_lat
String
20
0
0
num_long
num_long
String
20
0
0
cpf_cnpj_s
cpf_cnpj_s
String
14
0
0
cod_mun
cod_mun
String
7
0
0
car
car
String
43
0
0
created_user
created_user
String
255
0
0
created_date
created_date
Date
8
0
0
last_edited_user
last_edited_user
String
255
0
0
last_edited_date
last_edited_date
Date
8
0
0
st_area(shape)
st_area(shape)
Double
0
0
0
st_length(shape)
st_length(shape)
Double
0
0
0
20220217
iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAA
JwAAACcBKgmRTwAAHJ9JREFUeJztnUmIXGUXhm93ujuDQ+ZJzaBJTGIkURJxzkqQH4UoLkQX4kLE
lRv3guJCxJ0IbgTBjbhzIY4bZ8F5wBATMSYm0cQMZp668/N89FucXKurq7qr6tateh8obtWtW7du
3fT35pzzne+cgQsXLlzIjDGmBAwUfQHGGFMvFixjTGmwYBljSoMFyxhTGixYxpjSYMEyxpQGC5Yx
pjRYsMykII2vr6+v4feMmQgWLDMpJEj5/GP2W6xMs7FgmUmDWOkBEioLlmk2FizTFBCrkZGR9Ly/
v99iZVqCBcsYUxosWKYp4P5hWem5Ma3AgmUmTbWYlUXLtAILlpkUSl2oJlBOazDNxoJlJkUtSyq+
R0A+ziLKfTSmESxYxpjSYMEybcHxLdMMLFimbTgQbyaLBcu0BYuVaQYWLGNMabBgGWNKgwXLGFMa
LFim44mLqmF4eDjldE2ZMsWxsR7DgmU6GpWtiUF7hMr0JhYs09GcOXMmWVhYV4ODg2nLa2fL9yYW
LFOa4oD5h6ua9h4WLNPRTJs27T8WFc+9sLo3sWCZjkZWVLWF1Laweg8LlilN6WUF22Plh4EB/wn3
Ev7XNqWrZIpwKa3B9BYWLNPx5GtnlamWFsJ6/Pjx7NSpU8kavOyyy9JsJ5w7d67y3NSHBcuYFoJV
yMQBYpVPxbA72zgWLGNaDFaULCmy9Hm4FdrEsGAZ00IQp3ysTZMGXlrUOBYsY1oIwoRoKQUDy4qH
Zj89cdAYFixjWgiChDBJnGJLNKVrmPqxYBnTQmRVKW+srLOdnYIFy5gWEjPy5R6CF29PDAuWMW3s
FlRPzCpaY66FfzEWLGM6DFlj5r9YsIwpEAXevZC7PixYxhSIUh7y6yVtZVXHgmVMBwgW5ONbjl/9
FwuWMQWiZTpKfbBI1caCZUyBKM3BQfb6sGAZUyCxRr0ZHwuWMQWCUH377bfZ5s2bs9OnT2dnz57N
ZsyYkZ08eTK7/PLL2/L9I6HkdIyjqVtRJ2HBMqZAPvroo+zIkSPZxo0bs0suuSTVzoKhoaEkWohX
K+kL9fLz8bNOjKdZsIwpkHvvvTc7ePBgEiviWVhY1M5CuBTfajV9FixjTD3ggi1YsCA912yhkklp
IttqC6tsSau2sIwpEKwrRAlr6tJLL82mTp1a+L/HhQ5Or7BgGVMgc+fOrVhTakyh+u/tsK4u5MQp
3/Ox04TLgmVMgZw4cSIJlNxA1X4nEE+HnVZXJB0ZnQnUUqAoWJ1Yd96CZUyBKNh+/vz59Jp2YMwQ
sp01a1bLv//CaA6YBCvmhHVibpgFy5hx0MDNWxv1xHoQIiwoFe9Tay9ZNvQsJHZFDhbxK45jv1xF
Pq/SysOjs4ZqJBvPN1Fk3SGQei0rrxmChauruBzPOSfnl0A2akFasIwZB9Vfj5YIYsG+8YLkErRo
ufA5hIiBq8RM5V9xPj5DLIvj4/lHRt1GCVgz+xrqOqIb2AzBwlrMCxcTDQj1smXLGj6fBcuYFlJr
8PPesWPHKoF23EOBgMn64LMcc/bs2cprWSnNukZ9V7Mz27lmhAqBworEmtyxY0e2b9++tH/RokUN
nc+CZcw4xFmz8RpLVPusttGKkXW0cOHCNJARIKw2XDPEg4HOMdOnTx/zvBfCOSeLLKtmB9llFeLi
qkfjDTfckK1cubLi9jaCBcuYNsfA5BLKXWKmcM6cOZUBLTFTIilwbP/o82a3uG9l+gKWIb+X6+c5
v5vZT8Qquon1YsEypoUxrBhUlihgUWFJYT0dPnw427t3b3IBESLOhzDF1vY6x5RcgLpaV+lGqTVx
0AwRYwG3LEgeiLPcRG0bwYJlTBuIVgxWBtYFr2fOnJnt37+/snaQByLC+zxnvyyrkVH3Kr5udp5W
szv2cD4Eiy0CTTIslhZgaTWKBcuYFsew8i5XjBcRhMbyQHhULpnnynKPFlBfbtss1zBajohgM11E
xEr5ZLFcDZMNTDI0GoOzYBlTg5gHFcUDdwYriNgMAxHrgex0DU5cHwYk7x06dCgJE8dwDp5/9dVX
2e7du7NVq1al6f3t27en58p8l8uYF7pIvaISk0NrlZCpt29iI2Ahcg/00O/g3kxEFC1YxtRAYgVx
gGEVIQLbtm3L1q9fn/3000/Z6tWrk5AxMBmQu3btypYuXZriOOxnap/9iCD7EaytW7cm0SM3afHi
xZUUBsSqmTGqvr6+9L082BcTRFtJvHf55xYsY1o04IDBrpk79jPg165dm4QHsWG7YsWKFJMimIwo
yVICnitjnVlBXuMy8Th69GgSKiwSJZXKupsMw7nser5LsTEtsm41EqfYymyi32sLy5g63ClZJww6
pRjITZS1deDAgRR7eu2117I77rgjuXe33nprJQkUoSB2w3kU22F6H7HjHIgc5x6roN5EyFdfiLG3
VgTtx6JZcTELljE1UNwlxmBisB2hIVsb64oUhbfeeiu7+eabs/nz52d33nlninNR6pjBikW1c+fO
dDz7b7rppmzevHnJ0mEbs805Vst1mpGS0d/fXwnmK7DezsXNzbLkLFjG1EBuTBSTaJUozrRkyZIk
BgTT161bl3355Zcpi13VGAi0Y03h+jGdz3mwrABXkM9ikem7iHmNleXeCLKoZE3FwL0qRJQJC5Yx
46CFxjEOAxICBAkXD0F6+OGHU3D9nnvuyWbPnl2pwsDnECBiXJwLAVMCan7JDvuVBT9Z+kPJ5XyS
aDviV7UqXUzkGixYxowz4GL8Jw4wxAZhIW2BIDqWEikKEhwtPZFbxvu8Jo6FlcVWuVicKwbned6M
Nlt9o9edTyuI21YSc7zyC8EnUorZgmVMDfJ5UBr4sbwLYgX5NIG47ITP6rUyvGOmd3QzJVz6Pi1y
7hu9FmWK1zvL14z8Kl2Hzlev2FU7bjKTChYsYwLjBaLbXec8ilZfLsO908oXtwMLljE5NyVuVd1T
FCESipMNDAxclMgar7PV19bu2NdYWLCMGaVaTfNYRK+ogRoz1PtGLbxasaFWXWcnWHQWLGMmOFA7
oX/fhQIsrCKxYBlTJRict2Bi8b2xFhK3bJCOBtcHBgYuWt4ylmh1gpC2CguWMVUsiChQ+URRrfFr
x+Jh0PrF/lGxiq5fq93ATsOCZUwgP/CrCZbqVrXDkolpDfkMdSWZtiuG1QlYsIypQd6Kasb6vkao
lsc0GK6pXVZep2DBMsaUBguWMaY0WLCMMaXBgmWMKQ0WLGNMabBgGWNKgwXLGFMaLFjGFIha3sfS
y9S70sJrSiVr/+DgYEoKVVdoNVvtJSxYxhSIysUgUmSwU+QvJoOqmB8Cdvz48ZS4yjEqOdOurjed
ggXLmILBulKrMIE40TaMbjw0aqUl2NDQUKVnYWzX1UtYsIwpEARIVRhUcx1oDUbbMLpHX3XVVUmw
po5aVtCLYgUWLGMKJBYIpPmEuuvQ15AtTS1odZ9vIDE8PFxp4tpLWLCMKRBiV+r2HJtW8Do2qVCF
CFllvI7H9woWLGMKRL0JsbTUXIJ9EiVcQ2YDFbcqawPUZmHBMqZAsJIQKCytWEoG8UKkVM6G9Ibh
0T6I7OM1j2Y1XC0LFixjCgZXb7xYVF6YhnpMqIQFyxhTGixYxpjSYMEyxpQGC5YxpjRYsIwxpcGC
ZYwpDRYsY0xpsGAZY0qDBcsYUxosWMaY0mDBMsaUBguWMaY0WLCMMaXBgmWMKQ0WLGNMabBgGWNK
gwXLGFMaLFjGmNJgwTLGlAYLljGmNFiwjDGlwYJljCkNFixjTGmwYBljSoMFyxhTGixYxpjSYMEy
xpQGC5YxpjRYsIwxpcGCZYwpDRYsY0xpsGCZwjl16lQ2ffr0bGRkJDt37lw2derUtP/ChQuVY/r6
+irPx9rfrZw/fz7dm6GhofT60KFD2Zw5cy46hve5Fzz0/vDwcDZlypSsm7BgmUJBfCQ6/f39Fw2w
+B7P9dDA7AWxOnbsWHbZZZel5//++2/6/dOmTUvbo0ePpu3AwEB26aWXpmNOnDiRxEr/CXQbFixT
KIgOAy6+xlpAvLAsZFWIKFq9AGJ1/PjxioU1PYjQzJkz0/bMmTPZ2bNn032cMWNGEi3QfewmLFim
cBhocl8QI9xCrAj2RbcGkWIAMhB7SbS4P9wPiRMPLKiFCxdeZIHB/v37s+effz57/PHHszVr1mTd
hgXLdARYUxImxagGBwdTPIbBimXBwI2uYC+IFr9RMb0zZ84kK4vXl19+eXb69On/WFDcD1mh3YgF
yxSK3BYsKeB5HGxHjhzJLrnkkrSfhwSqV2JY/EasKazOoaGhi4LqCBevES62vJ4/f372zDPPdK3r
bMEyhYJQyc3Ta2IwxGIYmArER7HqxoE4FsSmYuxq9+7d2SuvvJLdf//92aZNm5JLiHU6e/bs9D73
DhcRoe/Ge2TBMoUia0pbLAkGISL1999/pzgN4oVbGN0dBK7bpuyrwW/mdyJchw8fTm4x1tXy5cuT
uCNOWFgIFaKGNbpr165s7ty5yYWUO9ktWLBMoUiEGHiI0IEDB7JPP/00e+SRR7L3338/mzdvXiV2
xQCNs4oIG2LGgOWziBpxr3xeUtFIZKvN2PGbeI8t4oIwIT4ID78zusuzZs1Kx9x9993JglIgHqFS
qgP3hM/yXPeim7BgmULRICOIfPLkyWzZsmXZ5s2bk+vDLJeCzBIhBjSDE6sDkePzPO8UcaqGrk3C
hQDxO3DllJrw008/pd+3cePGJMCwbdu2JMjcE/YNj4raihUrkkghbLyWEPIdEu1utT4tWKZQGMCI
Fcj1IR7DgPz555+zPXv2ZNdee2129dVXp4GYFya5TNUEqxNiXYiSLEJZWbKaEJzvvvsuub0cgzWJ
aL3wwgvpOcKEoCHMWJv/+9//0v3hPFhYWFw6ryxK7lG0MrsNC5YpFCwEBhYBdoQK8cGqQqxef/31
7MYbb0wDkPfkHoIsFV7ng/Igi6ZoomBFuD5iTP/880+2aNGi9NsQI+J2S5cuza688sq0JWkU0cLK
2rVrV7Zy5cpkdfHAMiXDnfsnwYrf1Qm/v9lYsEyhMNAQHgYsS00QJ7YI1nPPPZf98ssvyQJBlAjI
gwRKgzOmQuSX8xRNdM2U8Mr14v7y4LchXIiWBO6BBx5Iv03uIqxbty578803U8Cd9xYsWFBJrAUJ
toQr/93dggXLFAoDjQHLQNZ6OGbDcAVfffXV7IknnkguEe8pVhOD18rj0mCFTopnxeuQOwjEmnDp
sKqwlBAhHjznd+DyIVgIGA/c5oceeigF1OHPP/9M4s59kUucF8VuxIJlCgVrisGofCysKKyOp556
Kvvss8+SWDG4826VXMI4OPOzcZ0iWprdjCJCjI4HSaG4u7iCO3bsyK666qpsyZIlyeJEqOQyIuIH
DhzItm7dmm3ZsiXdIy1byotiJ1iWrcKCZQolBtwVSJZlcdttt12Ub6UyKzpeC6TlBnbikhSEVlZP
NQFDtPgNf/31V7KYiFXhBnMfFi9enI4jOI+oDQ4Opv07d+5MeVh8Lv+7ZW3WSqUoMxYsUxOm07Fw
ZAmpzIlcEQYFbg0PLcJVwqKytLWgWQMozurJSmDwKX2BzxHfIV4T4zDVgtexmkP+/XoGK9fKd+g6
dI5Y6WCs2UYFu6tdl95X2oWIrxVvYt8111yTrKqDBw8mceJ+7Nu3L12X4nxTp05N94RHrGRRzQXu
JLe4mViwTE343z26ZJq1QlQUeyKuwmDS//Jxsa7qNeXLxORBHPQ5jlUwuR0ofsT1AgMdQYiB/Yh+
p1IqdK35IHdM+lRxQiV0ykJUeoPuKVvuN/sk+ByvJNJex4JlaoJVRZyFaXS2GpQMJB4MLAYiaQkI
F5YXrxnMWFyyYIRiVbK6otDF2FO7is/FCqcgiwmR0HXmiwjGa9VzHcPv4zcriTNWoJBLmy9UyD3j
eNw97ed+K8AeGRl1iXtVvCxYpiYMXFlKiAjCxJYAsFxCBhZB4OhGakFuFAPEgQEnMVCCo/KpQIN9
PIusWeh7ZPnI6omzj0LuWy1Xi9/OTJ9K4gjuFeePbiDoO+Ry8/ujmxnTNUbCLGgnJMUWgQXL1AQX
EAtAheL27t2bYijbt29Pg/Pdd9/NHnvssZSJzjEMyrimT8RM7JiegLCNFXsZK+my2YKFkPJbsGoA
SxIBQXBUBaGaZSVigJvzKQWDfZxXy2cUz1MKBsIoEfvggw9S/lUUciWG6r4MtPhelAHfAVMTuShY
UV988UWadmeArV27Nk2xP/jgg2npDCBoWqgcB5zcQFUWJWhPfIZ9iEQcyLJ4OA4haccgRZR58J24
ZXLflHIQK59GF081qqJgaWkMnyWALmsI8YtiLEsuP5On79G5xrKiRsYJ+HcrvfVrTcMw0LRAmTyh
W2+9tTLNfv311yc3hvfJF0KwGGQSHw3S6L5gcZBzpIW/+jwuJvvIOZJ10o7BiLDoGhEtrllWjVxh
hIlri4uKJWgsWsYdJvM8onMiaNG9iwIU41jc17wQqhpDXCvYH2Yuu3Gt4HhYsExNGJQMuG+//bZi
SalSANaRXEYqXWogawo+VifQoOW5Uhi06JfXiJjKqiBkMSu8lXAdElYsP10b4qvfwhYRyVtCWIlv
v/12yhfjmhXvU8BdgiN0LxS30vnYd8UVV6R7rRlBCddYVtaUYO31EhYsUxP1C7zlllvSwNKgQqwY
SLJG8ikCoFiM8qz0ORb26jiJGYt6FejWQNW0fkSxH7lNk0XrEzkni43J/9J1IEJYhDxifSne5z4g
0k8//fRF58uLVERpEHm0LwbpFe/LH9PrWLBMfX8oo1URolDUM1MVRUfT+riBqlYAqtAQu+ZAzGSP
pZJVUlnCNhmwprAS1ZgUIUK8mA2Ni60RItziH374IduwYUNyifMda0zrsWCZcdEMVV6c6uksLMtK
MZ24dAQxi8X5YuZ8jP0oOB2zz5tVPobZQGY8KWPDtWLlYAVKLHFRES+WzmAZIrayKruxUWmnY8Ey
NallRdWTB6QFvnquKX2Jg9xCZdRLsKIYaqs8LolnM3K1EEzOIwtOIsm1sLaR/QgU/f5U7RNYjKyU
B9M+LFimIeKylHpiSLLO4kxbfspepY8VcFbQWcFuNaDQMph6LLt6QYSIXYHOqdZiSnVgBhDrSrXj
uS7lbJn2YsEydRG71Uis6rGwYucWhEAVB/gsAW6JkWq3xwqiWF18hviSehNCXAYzWeFSjXisQLl4
bLlOTQ4A+WcSVD6DYDUjhmYaw4Jl6nIJYyOFRoi5QrJO4mtle8d1dxIJWWfVuhvr2iZLtbQBhJMU
B2YJf//99yRWXLcC7Jo1ZGvBai8WLFOTvCggKo0kLMpqQRSI+cSSMloonf4QR/OxJIyaOSR1QAKm
Bgyy2JrhFsZ6W+pMgzVHRU8E6+WXX85efPHFSrlijtF1e4aw/ViwTE2qicJE8p/GskS0f7xaV9Ve
N2Pxr0rJgISQdAWE9ptvvsmeffbZ5NbGYLyuO85amvZgwTI9TYzFaYvlpKRYvV+thZhpPxYs09Oo
KmhelBArXEOVM66W4tGL5V2KxoJlep446yhUxlkpFvkCfharYrBgmZ4mH4OSxRWtqbFmRy1a7ceC
ZXoa5ZXl41iQF62IxaoYLFimp4kpGlG48rXTu7ULTdmwYJmeRjGqfNdouYW9Wju9U+kpwWpVwFTL
OlRlQIXotD4uNhkAlSVRiRTyf/gMW15zLvUDNK2nWp0qW1SdSdcLVrVgadw3WfGKRecQK9bHsdV+
VZlErKjxTcZ0bBiqhEQEDuFDpBT4VSdkY0wPCVY+cBqnqScrWGoAqkqc6lgca5JTT4muvnovZk1r
fR0WFS3IWXCL4CFgrrdkTI8JlqjWX66ZaNmIuqFIlLC85s6dm6ypX3/9NdVRWr9+fXoPi4v3VHOJ
muk6j0rz2sIypocEa6y1Xs2KUVAzifNgEWEt4fKp7IjKpwAVK6mLrsW/xLHoNINgEb/ifUQLa43P
YHVZrIzpMcFqddAd0UFgECzVidJiWjXnRLjoCkOhOMRKnZFxE7/++usU8GWBLe6i+vSpg0uv9Z0z
phY9MRo0bR1za+otQDcequUkEB5ZdVhLiBUihLX04YcfJuvrrrvuSgLHc2qJ4y4iaLiIXCvCpXIm
xpgeEywVipNgydJqRj0lyuciWrKqaAhKvz1AlABradWqVekhCMQjTJopRKAIuuMiajLAXVmM6THB
imkHynlSe3GERC2nqn1On9W2WjyMfcqZkguIgPFdnJ+ideRc5Wck2a8WVnv27MneeOON7NFHH72o
sQGzhLHEMOdUN2Hg80qdQHx1HcxYqm0W+9jGelRewGvKStcLlkSGgRzL4eKqETBXU4R8z71YByk/
o6hV/fFzWEx79+6tCA77iFGJatnUarhAVU1mCBEXXRMiFd1WZV3LKsQyQxCxyLie77//Ptu4cWMS
OPK3Fi9enJ7LXZWVKeFUNQJjykTXC1Zs5BkFAEFgVi6KiKyVfN5WfkFsXNEPiI4sMqwphGH37t3J
JVQL9/j5KIAqFXz77bdfFLwHWYQglzOW88VlhHfeeSd9Ny4nFh5ipd9IbEwdl2OsTd2LnetlykTX
C5YsC5XCVQtwxY30Xj7NIbpNtXK2VD6XeBTnxcXkO7FySFXgO2SFRWtJoqeZwEWLFqVzxWNijK1a
tQBZZ2vXrk3ixHfznfDbb79ly5cvT4mo8TdF99ZiZcpG1wtWtCrUQKFak85qjFUDKbqNMc4kAeSc
iAXrB3WeWgF/WTq4g5ynWtxJXZGFmpIS5Med/Pjjj7PVq1engL/ywrCqdu3alWYoFUeTaMv9tVto
ykTXC1ZenDTwFc8ZK8+pVlsr7dcxEixEidgY4oBI4OrxPWoiinvKMbioCs5HN1HiynMln8Z6TfF7
uW7OT9Ip33nddddln3zySUqZQPAQyz/++CP78ccfk6u4Zs2adF3RxUQo3RDUlImeECy1coq1jSRi
+ZZVedewWvMBiZ2eS1i0nhC0CDqeU4KjjsZcg6ozyCoCPsd5lfJQrfqlXr/00kvJLXzyySezn3/+
ueJKkm5BLItzYXXJwuL7FOx3UqopG10vWBINBioiIDcounVirFhVrI8Uc7oUpEdwECusGmJRIOsl
X7pE11HNSmO/xEqWUEx61bVKKOG+++5LriDvb9mypeJefv7559l7772XUiX0ubw4u3OxKRtdL1ii
ng69Y8VzYhXK2Kpd52XgYw2xn8XNxLK04FmCGWcUo2UjMUOgOIbPaz/HVavVFHPCNmzYUEmvAMSK
a9y0aVPKoo+BdbnEjdwTYzqJnhGsySArSFZOjG1JfHC5lGQqF1TWUj4NQu6pRIf0BN5DQHALY6Lo
eKIS31dBQIRScTPPBJpuwoLVANElywf1ZeUgFAS9ZRlFVzJaZ7LaEBfcOBUAJPDOVgJZL1FAOb+K
CBrTTViwJkB0HbFi5GbF/nYx0VOWl2JW+W7DWEEqKYO1xTZWJq1FPvFV32lMN2LBGod8ID4f54ou
GdYNgXaEQ/EnPar1v9PndSz7CNyPtW5xPKtPohivs97zGFMGLFjjkBeAvIBpplDpBBIfHVutDHOc
acSKUoVSzhWL9k20EUWMl1mwTDdhwZpA3CoSrZqYPhD35T8bXUPlRinoHpFb2ahLaEy3YsGqk2rr
DEV+iYsES+sH8wue88erFAzHaFkO+8hkr+e6qiW3SsgczzLdhAVrAtTKhIdGe9zFoH2jaQjVzlst
d8uYbsCCZYwpDRYsY0xpsGAZY0qDBcsYUxosWMaY0mDBMsaUBguWMSYrC/8HnOJeMLbWWokAAAAA
SUVORK5CYII=