Date: Thu, 28 Mar 2024 16:01:33 +0000 (GMT)
Message-ID: <2110154692.445.1711641693343@ip-172-31-38-4.eu-west-1.compute.internal>
Subject: Exported From Confluence
MIME-Version: 1.0
Content-Type: multipart/related;
boundary="----=_Part_444_728744853.1711641693337"
------=_Part_444_728744853.1711641693337
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable
Content-Location: file:///C:/exported.html
It is often the case in practical information systems that infor=
mation is held in a denormalized format. For example, an employee name may =
be held in several tables. It is desirable (often essential) that if the na=
me is masked in one column then the other tables in which the information i=
s held should also be updated with an identical value. This requirement is =
called Table-To-Table Synchronization. There are two other types of synchro=
nization (Row-Internal and Table-Internal) and all three have quite different pur=
poses and functions.
Table-To-Table Synchronization rules are designed to correlate any data =
changes made to a table column with columns in other tables. Thus implement=
ing a Table-To-Table Synchronization rule requires the knowledge of a join =
condition between the two tables. The rule will use this join condition to =
ensure the appropriate rows are updated correctly. Also required, is knowle=
dge of the columns in each of the source and target tables which must be sy=
nchronized.
As an example, consider the two tables:
TABLE SOURCE
COLUMN IDNUM decimal
COLUMN NAME varchar(40)
TABLE TARGET
COLUMN IDNUM decimal
COLUMN NAME varchar(40)
Assume the NAME column must=
be synchronized between the two tables and the join condition is SOURCE.IDNUM=3DTARGET.IDNUM. If a Substitution Rule operate=
s on the SOURCE.NAME column an=
d a subsequent Table-To-Table Synchronization rule is applied, then each TARGET.NAME column will receive =
values identical to the ones in the S=
OURCE table where the join condition matches.
Important Note: It is important to realize that if there are IDNUM values in the TARGET table that are not present in the SOURCE table, the Table-To-Table Synchronization rul=
e will have no effect on those rows. These columns will not be masked. In such cases a Substitution rule is usually applied to the co=
lumns in the target table before the synchronization takes place. This ensu=
res that the sensitive data in the target table gets some form of masking e=
ven if the subsequent synchronization operation does not update it.
Table-To-Table Synchronization is probably the most common synchronizati=
on task and it is quite easy to achieve using the Data Masker software - ju=
st implement the specialized Table-To-Table Synchronization rule. Choos=
e the table to use as the source and target. These two tables must be diffe=
rent - if they are the same then use a Table-Internal Synchronization rule<=
/a>. Once the source and target tables have been chosen, fill in the column=
s to be synchronized and the join condition between the tables. The help fi=
le for the New Table-To-Table Synchronization rule form provides more d=
etails on the mechanics of the rule configuration process.
Table-To-Table Synchronization rules are created by launching the New Ta=
ble-To-Table Synchronization rule form using the New Rule butt=
on located on the bottom of the Rules in Set tab.
<=
strong> Adding a Table-To-Table Synchronization Rule
------=_Part_444_728744853.1711641693337
Content-Type: application/octet-stream
Content-Transfer-Encoding: base64
Content-Location: file:///C:/edb60ff01da0ef6de80889ea52101bd2
iVBORw0KGgoAAAANSUhEUgAAAlsAAAEvCAYAAAByngQ7AAAAAXNSR0IArs4c6QAAAARnQU1BAACx
jwv8YQUAAAAJcEhZcwAADsIAAA7CARUoSoAAAHvmSURBVHhe7b1b9GZFeSfcF7nIhRe58CKzVi68
cCVZs4xDIhDSa2ZWZtaaWStrRWVN8s3k+xImHUnamRjUJEYJkYMKNtAN3UbUKKgoAg3dCC1NoxyE
5tA0NH0SQaAV5CAoonjGxMT66le7nv0+9eyq2rXfvd/D/93P0+u3elfVU6ennqr6vbX3f+91ZiD5
0pe+5K9UVNplbP6i/VUZo6gfqEDUD4xZByMoFAqFQqFQKGYDPdlSWYiMzV+0vypjFPUDFYj6gVGy
pbIYUfKx2qLrgQpE/UAFon6gZEtlQaLkY7VF1wMViPqBCkT9QMmWyoJEycdqi64HKhD1AxWI+sGq
ka1j28z69dvMMR+cicyjjhHIzP0lNU5dx2+g8R7bYqOLqwpE/UAF0u4Hx8y29evMuo17fFjIno1m
3br1Ztsa3njnQ7awYa2zhvRYPyuL5TZYVn+vQRto8x275PwlHKspxyvnC0tGttDfYE6U1JnrX1/b
DSC6yapAuszzep8lHxYb756NNq5kLrqNmZWNcmLzhceJebN+255q82dxk7SqlGPb1kfjW9sv6qpg
5+keGV8wd31ZufUj3k5Pblh8nb5xY7x9LlvYxqDejLStB66NNE6s/KBujGvJ+C+pzIVsbQycZo/Z
KJxwMBFOVouMdwO60bZkCknVodJJsovwEPYt9YU2GWi88/3daDauZ3OkpM7S/iE8ra/3kLbFVWUc
UjzPnZ96wuV8ODYn1sd9nklFLEJ/32PJwx45LyB1nN2TcntUJK+rJ4hDGZ58tLU/1haIjEe4be4m
66rKybaTJFZvrH1tdspIfj1g5SbrhlQEcVb0YdYyJ7KVcBgYVrJXF82ZeDgI2/DroC6vchzS3biN
6/g4KDYGEPlYm2LtcHngxOmyou10ItpF+aK645TiRZjE270xti4p5S98/EI/cuWnxiSIt4i1p6O0
9he/2iYdSrSRfDb8VZpdOLmvyzQK+/9jtp1W8ourylik0zwX/rjHzmvybZwK0foe5AkE8yKxtkrf
h9RxYj+Q0sgL/Ug9pe2PtQUSrSfTLgjlia4fLe30wdZwLQXtSUh2PeAnVsm6K8FaH6x3a0jmQrbc
8SkW8WAFFwOXMjI5EdKDTSDCcqUODaIsmw9uqh2uLOaoyAM9WRYJtTPWrtK+jkiyi7Df8GvU4xEZ
Wx+shcZBjF/9C6+2fWpMEM/qGWisSjYdtyCj3kRbXB8mgXi7ZDy3k0yjMP4vsW0HyS6uKqOREr+f
iJ+TtZ+KsPRfKc6P2ZzmEsvL4uJ7lBeZN9mOwvbjf9TFwdN9aUXzkOVprB+yvFp8u3wo2r9Y+2xS
1k4ZyflBQKAydTuh9X0NynwfkIehaKBiRiUHkGkxx5FhSEonVp5XSbajUT4c1G7euK9O8bFyG/ms
pOrwyWOUbouwFWlXHi4ZB6cjFj6exyEy7jI8pRT1l7eN/++0rCDM50isXU6H9Unmj4VT8T44jRSt
ByorL93muSQrk809IBFONyK59FhaLI7vUSRSL1lPYftT+RFP8xaI1iGElyXLT9VD7fShRn+S+ZjE
7JSRnB80yFau7pK2LanMl2w5aTpkIIjnJ0qkJ/Vj+VM6PB7XOUcjacQLsuXKKWgnJFXHiKXbImxF
2pDbu9RfuN/JdJJYvpheRyntLxae5O0GhMl3S9rP9SGx8lL1xMruIOXrgcoqS6d5HvNHXLf5fC1+
jY4pxPImy2shI6l6SI/r41q2v1Gel1S+nIiygvWjrZ0+2BpOirBTRnJ+0Ils6clWy6SK/krAQLFb
FyTC2BiI+IlR4jYi16GwjHesnJykrB0uDy9LpNfttP/itxEjdYxYOi3CEDkebeMQi8cA1PGpMUH8
ZIGajGs/Ke9v1a6qzrCNdR+qQHwxFv0OfF3kSdmqUcYUkuuvynikq9879075X4FfOp8W88I9IO/K
D4lHsCbwhaBgPjTXhar9jjS0tb8t3QfDfSohjbL4+tHSThJZRq59OTtlJLse0N6K65Yy0Z+g7WtI
5kK2+MO8JQ8i1/eFLdyfoSI+Nggif+MBSsoTyVtNSt+WWDtkHN+wfFnRdpIOy1svICwunADjk+wi
zO3kYMeJ376FtI1Dyt4sX3JM3CJXxQXj2kPKNx0rcvGp2yg3Ed/G3MJphft6dS36JvNEyugq2cVV
ZTRSPs/FvhDzv0K/5D7uQAQB+Xl8XVb1A3mSh7UFkqhX1lPzkLb2y3Y4RNY4K8E+FZNYXXz9sJJs
J4ksI9W+Yy12ykh+PWBEOFk39GIHGWtHFnAbcY1IzIlVBpOxbcbaX5UxivqBCqTNDxwhbGNRgkSu
NVGylRIlWzMVJR+rLbrJqkBm4wf+VlnyBGQVZW33ud0P/KlZinC5uw1re3yVbKksRJR8rLboeqAC
UT9QgagfKNlSWZAo+Vht0fVABaJ+oAJRP1CypbIgUfKx2qLrgQpE/UAFon5gyRaMoFAoFAqFQqGY
DfRkS2UhMjZ/0f6qjFHUD1Qg6gd6G1FlQaLkY7VF1wMViPqBCkT9QMmWyoJEycdqi64HKhD1AxWI
+oGSLZUFiZKP1RZdD1Qg6gcqEPUDJVsqC5KZ+0vqpbRdX1Y70MttxzY/dD1QgagfqEDUD+ZFtrBh
sbfezuVDklSneCOt+56cvhl+4ZLzl/S3sTrIGiJb6G/b9w0bkutfX9sNILq4qkC6zPN6qSYf7rp2
B76/0ezx4ejcov99tE0w29ZP5or8nmBdhqyjivVvOJ/ou7YHuoS1/Rb0aaXbet/y8e2hpOEDGRFj
OQ2HmQvZCr+2vsdsTL2Sf0hxhtxoNrIJVMWtLzewyswkO/mGGJ/UROoywSBd9ROS72/MT1vqLO0f
wvNavJjk+qsyHime585P2Uf7p127uf8ny0F6SK54Pke0gnqqT+UEhIulV8RMfiTek72gnPHKzNf7
aaTL+FgyPaEt7MPZHWROZCu22MsvePsO+C+fb8OvGM8iQ51YfES8IffYiUCTBL+MNm6bGDj89eKN
5/PF6o/qVwkhO6cBDOJj5c9/E1wW6Tz5uo6L08dCG4vPjE8j3iLWno7S2l/8Mp50KNFG8hf/HTEf
H/3l7oPVnPH5ZBqF/f/xOTed5PqrMh7pNM+FP+bW7qRwH6frxNzCulHPHatTXSc20li5VUJI2rgE
euOWzuu9la77s0ur9VvWPDdukzLc2Lv8ibEMJDPmGZkL2XLHv+iUXMH5JKBrb7BaFfHMOLKIpNRG
9ZsNhet4Ia31C6nbXhHAWl/W66PreFn+SCU7+eArHDG7tY2L059MCDdxqZzc+CTHs5+ULDZuQ0G9
iba4PkwC8XbJeG4nmUZh/F9i2w6S66/KeKTbJuvnZO2nIiz9NyZch10355aLrOdTND0Qtl7IOvg6
wsWlRdYynzwm6bTex+wZrOuxtSqxVsrxlGMn00rIlsxXKPN9QB6GgTEnlqodOOnsFO7aQaZPZK9R
Pq7d4HrE6plWX+o6sIXDq49Vui3CVlJ2pmtuZ7K/1Of2l3kcIuMjw1NKUX952/j/TssKwrQQpdrl
dFifZP5YOBXvg9NI0XqgsvLSbZ5LspVZu1PCdWLXQRm0/+CHfMu8qnWtpOqQkksbmXRe7yGwn1zL
pE0pHItvW89lWpHAD7qfakHmS7acMKdFyJGshCNDKNzVMNKosnwXx4zG43k9bfryFCBVDkkqfmTS
efJJu3E7l44jn3wynSSWL6bXUUr7i19k9e2SWFtS84SEx3N9SKy8VD2xsjtI+XqgssrSaZ7H/BHX
bT7PReZl+sHc8nF7Ntq1A4+uBAcAkc00WW5m8y1p70hkqvW+6/4s4/l676ODMZFprTI90YLMhWxN
HNlK1Cjphw8n4cRtRJefbSgkshwSihfpzdtMXtr05QDUeohPtJeXP1KZavLx+LZxicVjMOr4xPiI
8ZyMcz8p72/VrolvTdpY96EKlPm9O01mmxXLk7JVo4wpJNdflfFIV7937p3yvxK/5DoNfT63vPi7
LXwdaM75Kl9qj3L6Yi7qA/Kh9F3v29eqxFqJ9NiaVwXCNdSFM8S5B9GCzIVs8QfRggeRnYiHzWrj
eeFh1+FJWfXEFI7uRJZDwuLpiBpYbyeHi5f52vShQ7dHCRTv2ibiU+0amWQnH7eZg/UP/4cTxeMS
s73IFx0fxLPxDMa5h3RabPhpadBGuaD7NvIJxfvnpdoMqjlWXYu+yTyRMrpKrr8q45HyeZ7ZA0ja
/BLpdXkJssPnlhNs0s39g88ToCZjso46OtSfbPQszkHuf+OQTuufl677c8nYyPU8WENd/vj4NMaX
8nSQBdxGFNJw/jUu6E89M1VSMrbNWPurMkZRP1CBqB8sAdkCs1zr3IQzcHn6oBIXJR+rLbq4qkBm
4wf+dmAD4zw1Wgui68EynGypjFKUfKy26HqgAlE/UIGoHyjZUlmQKPlYbdH1QAWifqACUT9QsqWy
IFHysdqi64EKRP1ABaJ+YMkWjKBQKBQKhUKhmA0GPdn63k+NQlGEsfmL9lcxRqgfKAD1g4FvI8Yq
UChiUPKx2tD1QAGoHygA9QMlW4oFQcnHakPXAwWgfqAA1A+UbCkWBCUfqw1dDxSA+oECUD9YVrL1
8DZz4knbzKFYmmIl0Mtf1qB/aH8VY8Sa94Oh5t7I9zRdD+ZEtk4Ub/nd9HBcr8YUjnloS/jtohO3
HIvqKZYDfSYfxnqtja/2VzFGtO4Lp+4J4nacauOWiZTE9iLEsb1mVnvaKkHXg3mRLe5kzlE3mh0s
vYGOjumIVqB/zGw6dbyOvRbQZ/LtOLVgcVsyaH8VY0R+X9hoNpzEfNut+/aHxTKRktheJONmsKet
GnQ9WATZ+ukes4EcM+a0CPN458i5XxAoL7EZ+XI24dcSr7Mur6QdWBBIf53ZsMvrKHqhzV+qMYvZ
fOI/4WnmchMS7a9ijGjz+x3s1BanWhu2TNbiqL8Ha3oFmi/J+RGs+Ra+/DC+QJ/g2zCJG2ZPC9ov
61zj0PVgEWRr18bQ2XlawzGZE8f0U3E8zTruZPNCeWJy4hhblkFhl59NQrSdt0cxNbL+wseM+wuF
xa2HbPySQPurGCPa9wW/xvM1l/s/gfzdrcmZ+SL1xZo/WetTe0tK34djcbwNMo3CQfmRevE/i99x
6mrtM7oeLOKZrZgjynDggCyvg3DCoIxjZhOdQvFyoro+zCe61JPxbqIw8qWYGu2LsA+LMXC/fvlC
yH0jGKvlgvZXMUaU+L17Tsv6s/Nz7v8xfxfzY2p9qeuQ2QsoTHE8X06fwvx/ntcBe1pF8lb1x7yu
B/M+2XKOxpypxDF5ehQRApTKHwsr2VoIpiMfINPe/m7s2Fg0xmq5oP1VjBGd9wXy65S/S79v05cn
X6lyZHoqLONwPeietpqkS9eDRd1G5BOLOZW7rRc4ZOV49S/7BOp8FJd07LC84DZith0+f+rIWtEZ
U5GP1LVFwweWDNpfxRhR7PcE8vOUv4v4Vn35A7nWS+0toX50nsk2DLGn2fQN9V8csx9ZXGcNQ9eD
hTwg7x3QO3R1XR2nnnjqxkqXO7NzXjputRBlhWVO9NxDl7wcQlCemBSUl7ej1g31Ff0wDfnAGPFX
INDth2DMKN+SQfurGCO67AsOzP+j/s7Si/Sh48jQJK3eQ5A3Fs/0o/NMtsGi2j/67GkVCavzsXm/
CtD1YE5ka80iMqkUw2Aaf8Fi2nbKuazQ/irGiKXzAxCpJf7DklWFrgdKtvJQsjUzdPcX/PJbuyeL
2l/FGLEMfsBPvPTuxGKg64GSLcWCMDZ/0f4qxgj1AwWgfqBkS7EgKPlYbeh6oADUDxSA+oGSLcWC
oORjtaHrgQJQP1AA6geWbMEICoVCoVAoFIrZQE+2FAvB2PxF+6sYI9QPFID6gd5GVCwISj5WG7oe
KAD1AwWgfqBkS7EgKPlYbeh6oADUDxSA+oGSLcWCoORjtaHrgQJQP1AA6gdKtuLQl5nOHDP3l9QY
dh3bgXxhbIuNLq4KYC5+oOt1BbLDEtpD14N5ki35fapl/mSCTt6ZI+cv4fcogSk+ypoaw65jO5Av
tPU3+BZaSZ25/vW13QDQxVUBzGVf6DtHB5rjDkPtc9O0ifIM2Z+BMNh6z/sm+4kwK6f4+5Il9oro
8G9gltQ3F7JVNSr8TMKOU5f4swklxlf0QnbyDWH71Bh2HduBfCHf341mA//Kf0mdpf1DeAGfKGnd
ZBWjwFz2hYHmaF8Mus9N0yfKsyT24JjJeh/0E5834yTNhoc80BE2dWMdtLv6kHiOcM2FbG3iG4kE
OlGzQ++YrmPYgKr4DbuO2TLouiDdlhGyTl+/N9gm9q2s+kO/QTsspnUARRE6T77M2KXHeuIj0gdc
+cGYMx+dgS+09pd/IDfZRlq4J/4O5E/F2DcWZRqF/f/ReTElcv1VjAdT7QvOH/PrezgvLAKfpzIi
vm6vg/WC+X92HrTV5+Zkoj9AkD+cj836xPy2hG2ix/L6dFleQLYCvXANDMqbMTqv95K8uH7Y9u+i
vsk1cFvmW7JVWaS7weoG/Q/sxveMxHi4uiJjHZTTHNe5kK30L+vKCOTQbhJgwyHDojPuWJZdU2dy
6bIe2shcvkl9E/2wHbXReBmKQZH3l4mTOtRjHhu7MG841pMJUf8SqceWkRAgiB/eF0oWG3ww19Wb
aEs9P5Av1S4Zz+0k0yiM/0ts2wG5/irGg6n2BeePufW9YI5mfX1Srzt5CtJi86Cwvqn2ucS843VI
vVx51I+63ZE1rlHe7NF5vUeaayfaz4hs3TdxbVF/cJzWSIeKKAV9lf2nclz8ZM+ofM/bL1PvBN7e
snw/rvMhW9GGWchGu0b6xsY6Rtdt6XVZYgB5eqo8WY5iJujsL7kxwnXJWHPfknkchO/JenqgqL+8
bfx/0kU4Nvk5nA7rk8wfC6fiKTwFcv1VjAe994XYdYm/JnUqohKc6LSVmyzLh1NxqTSE29aa1HUq
LNc2+p+vBdRvmX8OmMoPLByRtO0OTrhIP9UPR5JsXzkB5ekyjsINXfhKO8mbgJGtSPlzIVvRIzcg
1ijZ2Nh1STqvM5avJJ7CisHRefLlxq50rGMLEqVzPZkvptcRpf3F4kLH3Mk+0HWsXTye68s0Hk7F
U3gK5PqrGA967wux6xJ/bdVhpKutXH7ixOMp7MA25iDeIlau3OekXuo6FY71Q+px/Vj8DNF5vSd4
4tSJbDkkiA8g4yjc0E2QrdRYp8rx4QU/IF85fPI4FLqx6y7pFq7cSPwkb2i8Wp/0FIOj8+RLjV3h
WDd9K/S9CWbjC+X9rdpV1ZmYH9BDP8ScquN5efIonOVJ2apRxhTI9VcxHky1L3D/i14XzFHoJnx9
Q/2Mo789Rc8B8bqojEh9qfmR7E9qHifr89d83gb1tZRX64d6NRrlCfC6S8IF6LzeO6D9ZD9vf952
3g5c09pIYaeXuI3I66SwjOckG2msz02fq2ztSGGi/LmQLaByRDrK9Ed8SHOdoHhmON5Jed2Wbq/r
+7cW9IBhejLZazp65Pqkpxgc2cnnx2ECtiCSXslY8zIoLx/zlM4MfKHTYtOY5NTGcIGjfucfkKe5
Vy1WfB4WzYsp0bYeKMaBqfYF7n+p64I5GvV1vynW8XxzlH6fqM8hUp+s06F0n4uE6/kd61+uPF5O
oGch02Nwedha0xYuQOf1/mFBFJ39bZ2i7ZM1cE/wEHv9nB/0XHsnafWdA1+GSye7ML229VaOdd1W
0UYKz41sKRQcY/MX7a9ijFhJP8DGz09RFK1YE34gSdLAULKlWAiUfKw2dD1QAKviB/z0XJ54KNqx
JvxAyZZiFaHkY7Wh64ECUD9QAOoHSrYUC4KSj9WGrgcKQP1AAagfKNlSLAhKPlYbuh4oAPUDBaB+
YMkWjKBQKBQKhUKhmA30ZEuxEIzNX7S/ijFC/UABqB/obUTFgqDkY7Wh64ECUD9QAOoHSrYUC4KS
j9WGrgcKQP1AAagfKNlSLAhKPlYbuh4oAPUDBaB+oGQrjhm/3EwxB39JjWHXsR3IF8a22OjiqgDm
4ge6XlcgOyyhPXQ9mCfZkt+WWubPHejknTly/hL/VlZcN4nUGHYd24F8oa2/bd83bCDXv762GwC6
uCqAuewLfefoQHPcYah9bpo2UZ4h+zMQBlvved9kPxFm5QRrag4l9oroyG8jttU3F7JVNUp+1HGJ
P3lQYnxFL2Qn3xC2T41h17EdyBfy/d1oNpwkPpzaVmdp/xBewOdFWjdZxSgwl31hoDnaF4Puc9P0
ifIsiT04ZrLeB/3Eh6s5SbPhIQ90hE3dWAftrj6cnSNccyFbm/hGIoFO1OzQO6brGDagKn7DrmP1
F73dl7Xb0m0ZIev09XuDbWLfuQq+1F3rW0zrAIoidJ58mbFLj/XER6QPuPKDMWc+OgNfaO0v/7ht
so20cE/8HcifimER4POKpVHY/x+dF1Mi11/FeDDVvuD8Mb++h/PCIvB5KiPi6/Y6WC+Y/2fnQVt9
bk4m+gME+cP52KxPzG9L2CZ6LK9Pl+UFZCvQC9fAoLwZo/N6L8mL64dt/y7qm1wDt03WuQaqskh3
g9UN+h/Yje8ZifFwdUXGOiinOa5zIVvpX9aVEcih3STAhkOGRWfcsSy7ps7k0mU9tJG5fJP6Jvph
O2qj8TIUgyLvLxMndajHPDZ2Yd5wrCcTov4lUo8tIyFAED+8L5QsNvjYras30ZZ6fiBfql0ynttJ
plEY/5fYtgNy/VWMB1PtC84fc+t7wRzN+vqkXnfyFKTF5kFhfVPtc4l5x+uQernyqB91uyNrXKO8
2aPzeo801060nxHZum/i2qL+WDitkQ4VUQr6KvtP5bj4yZ5R+Z63X6beCby9Zfl+XOdDtqINs5CN
do30jY11jK7b0uuyxADy9FR5shzFTNDZX3JjhOuSsea+JfM4CN+T9fRAUX952/j/pItwbPJzOB3W
J5k/Fk7FU3gK5PqrGA967wux6xJ/TepURCU40WkrN1mWD6fiUmkIt601qetUWK5t9D9fC6jfMv8c
MJUfWDgiadsdnHCRfqofjiTZvnICytNlHIUbuvCVdpI3ASNbkfLnQraiR25ArFGysbHrknReZyxf
STyFFYOj8+TLjV3pWMcWJErnejJfTK8jSvuLxYWOuZN9oOtYu3g815dpPJyKp/AUyPVXMR703hdi
1yX+2qrDSFdbufzEicdT2IFtzEG8Raxcuc9JvdR1Khzrh9Tj+rH4GaLzek/wxKkT2XJIEB9AxlG4
oZsgW6mxTpXjwwt+QL5y+ORxKHRj113SLVy5kfhJ3tB4tT7pKQZH58mXGrvCsW76Vuh7E8zGF8r7
W7WrqjMxP6CHfog5Vcfz8uRROMuTslWjjCmQ669iPJhqX+D+F70umKPQTfj6hvoZR397ip4D4nVR
GZH6UvMj2Z/UPE7W56/5vA3qaymv1g/1ajTKE+B1l4QL0Hm9d0D7yX7e/rztvB24prWRwk4vcRuR
10lhGc9JNtJYn5s+V9nakcJE+XMhW0DliHSU6Y/4kOY6QfHMcLyT8rot3V7X928t6AHD9GSy13T0
yPVJTzE4spPPj8MEbEEkvZKx5mVQXj7mKZ0Z+EKnxaYxyamN4QJH/c4/IE9zr1qs+DwsmhdTom09
UIwDU+0L3P9S1wVzNOrrflOs4/nmKP0+UZ9DpD5Zp0PpPhcJ1/M71r9cebycQM9Cpsfg8rC1pi1c
gM7r/cOCKDr72zpF2ydr4J7gIfb6OT/oufZO0uo7B74Ml052YXpt660c67qtoo0UnhvZUig4xuYv
2l/FGLGSfoCNn5+iKFqxJvxAkqSBoWRLsRAo+Vht6HqgAFbFD/jpuTzxULRjTfiBki3FKkLJx2pD
1wMFoH6gANQPlGwpFgQlH6sNXQ8UgPqBAlA/ULKlWBCUfKw2dD1QAOoHCkD9wJItGEGhUCgUCoVC
MRvoyZZiIRibv2h/FWOE+oECUD/Q24iKBUHJx2pD1wMFoH6gANQPlGwpFgQlH6sNXQ8UgPqBAlA/
ULKlWBCUfKw2dD1QAOoHCkD9QMlWHDN+uZliDv6SGsOuYzuQL4xtsdHFVQHMxQ90va5AdlhCe+h6
ME+yJb8ttcyfO9DJO3Pk/CX+ray4bhKpMew6tgP5Qlt/275v2ECuf31tNwB0cVUAc9kX+s7Rgea4
w1D73DRtojxD9mcgDLbe877JfiLMygnW1BxK7BXRkd9GbKtvLmSrapT8qOMSf/KgxPiKXshOviFs
nxrDrmM7kC/k+7vRbDhJfDi1rc7S/iG8gM+LtG6yilFgLvvCQHO0Lwbd56bpE+VZEntwzGS9D/qJ
D1dzkmbDQx7oCJu6sQ7aXX04O0e45kK2NvGNRAKdqNmhd0zXMWxAVfyGXcfqL3q7L2u3pdsyQtbp
6/cG28S+cxV8qbvWt5jWARRF6Dz5MmOXHuuJj0gfcOUHY858dAa+0Npf/nHbZBtp4Z74O5A/FcMi
wOcVS6Ow/z86L6ZErr+K8WCqfcH5Y359D+eFReDzVEbE1+11sF4w/8/Og7b63JxM9AcI8ofzsVmf
mN+WsE30WF6fLssLyFagF66BQXkzRuf1XpIX1w/b/l3UN7kGbpuscw1UZZHuBqsb9D+wG98zEuPh
6oqMdVBOc1znQrbSv6wrI5BDu0mADYcMi864Y1l2TZ3Jpct6aCNz+Sb1TfTDdtRG42UoBkXeXyZO
6lCPeWzswrzhWE8mRP1LpB5bRkKAIH54XyhZbPCxW1dvoi31/EC+VLtkPLeTTKMw/i+xbQfk+qsY
D6baF5w/5tb3gjma9fVJve7kKUiLzYPC+qba5xLzjtch9XLlUT/qdkfWuEZ5s0fn9R5prp1oPyOy
dd/EtUX9sXBaIx0qohT0VfafynHxkz2j8j1vv0y9E3h7y/L9uM6HbEUbZiEb7RrpGxvrGF23pddl
iQHk6anyZDmKmaCzv+TGCNclY819S+ZxEL4n6+mBov7ytvH/SRfh2OTncDqsTzJ/LJyKp/AUyPVX
MR703hdi1yX+mtSpiEpwotNWbrIsH07FpdIQbltrUtepsFzb6H++FlC/Zf45YCo/sHBE0rY7OOEi
/VQ/HEmyfeUElKfLOAo3dOEr7SRvAka2IuXPhWxFj9yAWKNkY2PXJem8zli+kngKKwZH58mXG7vS
sY4tSJTO9WS+mF5HlPYXiwsdcyf7QNexdvF4ri/TeDgVT+EpkOuvYjzovS/Erkv8tVWHka62cvmJ
E4+nsAPbmIN4i1i5cp+TeqnrVDjWD6nH9WPxM0Tn9Z7giVMnsuWQID6AjKNwQzdBtlJjnSrHhxf8
gHzl8MnjUOjGrrukW7hyI/GTvKHxan3SUwyOzpMvNXaFY930rdD3JpiNL5T3t2pXVWdifkAP/RBz
qo7n5cmjcJYnZatGGVMg11/FeDDVvsD9L3pdMEehm/D1DfUzjv72FD0HxOuiMiL1peZHsj+peZys
z1/zeRvU11JerR/q1WiUJ8DrLgkXoPN674D2k/28/XnbeTtwTWsjhZ1e4jYir5PCMp6TbKSxPjd9
rrK1I4WJ8udCtoDKEeko0x/xIc11guKZ4Xgn5XVbur2u799a0AOG6clkr+nokeuTnmJwZCefH4cJ
2IJIeiVjzcugvHzMUzoz8IVOi01jklMbwwWO+p1/QJ7mXrVY8XlYNC+mRNt6oBgHptoXuP+lrgvm
aNTX/aZYx/PNUfp9oj6HSH2yTofSfS4Srud3rH+58ng5gZ6FTI/B5WFrTVu4AJ3X+4cFUXT2t3WK
tk/WwD3BQ+z1c37Qc+2dpNV3DnwZLp3swvTa1ls51nVbRRspPDeypVBwjM1ftL+KMWIl/QAbPz9F
UbRiTfiBJEkDQ8mWYiFQ8rHa0PVAAayKH/DTc3nioWjHmvADJVuKVYSSj9WGrgcKQP1AAagfKNlS
LAhKPlYbuh4oAPUDBaB+oGRLsSAo+Vht6HqgANQPFID6gSVbMIJCoVAoFAqFYjbQky3FQjA2f9H+
KsYI9QMFoH6gtxEVC4KSj9WGrgcKQP1AAagfKNlSLAhKPlYbuh4oAPUDBaB+oGRLsSAo+Vht6Hqg
ANQPFID6gZKtOGb8cjPFHPwlNYZdx3YgXxjbYqOLqwKYix/oel2B7LCE9tD1YJ5kS35bapk/d6CT
d+bI+Uv8W1lx3SRSY9h1bAfyhbb+tn3fsIFc//rabgDo4qoA5rIv9J2jA81xh6H2uWnaRHmG7M9A
GGy9532T/USYlROsqTmU2CuiI7+N2FbfXMhW1Sj5Uccl/uRBifEVvZCdfEPYPjWGXcd2IF/I93ej
2XCS+HBqW52l/UN4AZ8Xad1kFaPAXPaFgeZoXwy6z03TJ8qzJPbgmMl6H/QTH67mJM2GhzzQETZ1
Yx20u/pwdo5wzYVsbeIbiQQ6UbND75iuY9iAqvgNu47VX/R2X9ZuS7dlhKzT1+8Ntol95yr4Unet
bzGtAyiK0HnyZcYuPdYTH5E+4MoPxpz56Ax8obW//OO2yTbSwj3xdyB/KoZFgM8rlkZh/390XkyJ
XH8V48FU+4Lzx/z6Hs4Li8DnqYyIr9vrYL1g/p+dB231uTmZ6A8Q5A/nY7M+Mb8tYZvosbw+XZYX
kK1AL1wDg/JmjM7rvSQvrh+2/buob3IN3DZZ5xqoyiLdDVY36H9gN75nJMbD1RUZ66Cc5rjOhWyl
f1lXRiCHdpMAGw4ZFp1xx7LsmjqTS5f10Ebm8k3qm+iH7aiNxstQDIq8v0yc1KEe89jYhXnDsZ5M
iPqXSD22jIQAQfzwvlCy2OBjt67eRFvq+YF8qXbJeG4nmUZh/F9i2w7I9VcxHky1Lzh/zK3vBXM0
6+uTet3JU5AWmweF9U21zyXmHa9D6uXKo37U7Y6scY3yZo/O6z3SXDvRfkZk676Ja4v6Y+G0RjpU
RCnoq+w/lePiJ3tG5Xvefpl6J/D2luX7cZ0P2Yo2zEI22jXSNzbWMbpuS6/LEgPI01PlyXIUM0Fn
f8mNEa5Lxpr7lszjIHxP1tMDRf3lbeP/ky7CscnP4XRYn2T+WDgVT+EpkOuvYjzovS/Erkv8NalT
EZXgRKet3GRZPpyKS6Uh3LbWpK5TYbm20f98LaB+y/xzwFR+YOGIpG13cMJF+ql+OJJk+8oJKE+X
cRRu6MJX2kneBIxsRcqfC9mKHrkBsUbJxsauS9J5nbF8JfEUVgyOzpMvN3alYx1bkCid68l8Mb2O
KO0vFhc65k72ga5j7eLxXF+m8XAqnsJTINdfxXjQe1+IXZf4a6sOI11t5fITJx5PYQe2MQfxFrFy
5T4n9VLXqXCsH1KP68fiZ4jO6z3BE6dOZMshQXwAGUfhhm6CbKXGOlWODy/4AfnK4ZPHodCNXXdJ
t3DlRuIneUPj1fqkpxgcnSdfauwKx7rpW6HvTTAbXyjvb9Wuqs7E/IAe+iHmVB3Py5NH4SxPylaN
MhJ46eWfR/Hdn/ybOXLkiPtfsbqIjT3AfWSqfYH7X/S6YI5CN+HrG+pnHP3tKXoOiNdFZUTqS82P
ZH9S8zhZn7/m8zaor6W8Wj/Uq9EoT4DXXRIuwHRkC+0n+3n787bzduCa1kYKO73EbUReJ4VlPCfZ
SGN9bvpcZWtHChPlz4VsAZUj0lGmP+JDmusExTPD8U7K67Z0e13fv7WgBwzTk8le09Ej1yc9xeDI
Tj4/DhOwBZH0Ssaal0F5+ZindGbgC50Wm8YkpzaGCxz1O/+APM29arHi87BoXkTAN1a++X7nx//q
8OKPfmYOHz7s/v/2D/9FsSLAeHLQeHMf4L4BX5lqX+D+l7oumKNRX/ebYh3PN0fp94n6HCL1yTod
Sve5SLie37H+5crj5QR6FjI9BpeHrTVt4QJ0Xu8fFkTR2d/WKdo+WQP3BA+x18/5Qc+1d5JW3znw
Zbh0sgvTa1tv5VjXbRVtpPDcyJZCwTE2f1mF/vKNlBMs2nyxIb/wg3823/r+T82DDz5ovvm9lyd4
6SeKtQw2lhhfAGPNSRgnXuQnR48ejfrSmgY2fn6KomjFmlj/JEkaGEq2FAuBkq21BUm0iGRxgkWk
6vnv/tjcf//95hsv/tA8++0fODzzwvcdnv7W9xRrCDRuNI4Y0+e+8yM3xkTCJPEi0kVkC//HfGot
gZ+eyxMPRTuUbCnZUiwISrbWFlJEi0gWNl9swtiQsUnfe++95uvPf9c88dyLDl/7xrfNV599QbEG
gbHDGD753HfcmD71zZfcGGOsa+LlSZckXKtCthT9oPxAyZZiQVCytXZAJIsTLZxkEMnCaQdOP7AJ
E7G68847zWNPPW8e/fpz5tEnv2G+8sSz5pGvPWMe/urTijUEjBnGDmOIscSYHnvmWzUBw5jTiReR
LvgGES76QwklXOOG8gMlW4oFQcnWcoNOsohoydMsTrJw2vGlR58we275otl5w43mE1s/YD7w3vea
LRbnnHOOYo3jQosPn3+B+eiFm801193gxvj+w1925AvEC6QLPgBfgE/g9iKdcuEPJeiUi/tUzOcU
qwvlB5ZswQgKhUJBwK0fAKcSADbMQ4cOuYfeDxw4YPbv32/27dtnbrnlFvPJSy81W+xmvOX0080N
/+N/mDt+93fNV379182Tr3qVeemXfsmuMPb3nGJNA+OI8Tz26le78f3Cf/tv5uJ3vtOcf+aZ5mPb
tpnrr7/efPGLXzR79+41d999t/MN+Ah8BT4D34EPkT+Rf8V8T6FYVdjZNIygsBibUyhiGJu/rJX+
xk6z6JYhns/B6QVuLV318U+ai844w9z9H/+j+fYrXxndpBWrDZCwA8cfbz769reby7Z+wDxw9BF3
2oXnvOikC38ogZMufmuRn3LFfFCxelB+YKeM50q9RY2p6AIlW8sHSbTkLUM8n3PDjs+aLWeeae7/
7d9ubL6K8QKnmRedfroj4V967ElHuvBcF/5QAs90wYfo1qISrvFB+YGdJp4r9RY1pqILlGwtH1JE
C5vl4089by7f+gFz+3//7+Znv/ALjc1WoQDu/Z3fMR8+9zxz/+GH3YP1+EMJ/BVjjnDFfFGxWlB+
YKeH50q9RY2p6AIlW8sFOmWQRAu3gh567Enz0fe81zz87/99Y3NVKCSe+ZVfMZf8w7vNnfc+YL7w
hS+4v2AE4YIvScKlZGscUH5gp4bnSr1lMGPO+MViiuXAzCdfyo+6+tdA/rgWyBZOGugZLTrRAtH6
kN04n//lX25sqgpFCnie62N/87fm2muvNV8+9lRNuOiEi57hgs/F/FGxWlCyZaeF50q9JWtMbFh2
AtIbeINvuUn02QxT1zlMk0fRGzl/iX8rK66bRGosu47xQD7R1t+27xs2kOtfR9sR0aJTLTzQTLcO
P3LOe/QBeMVU+OErXmE+8I53mHseOOwI1+NPf9M9OA/fgo+Fc7yC+w4grsXncNwb3OHvDf9ueZt7
Q198ww5xqboi+bN7lwP/9iJvWyqepSfmfNCeFIJ2pr4LWBA/IyjZslPCc6XekjNm8MV0OFXuu1Jw
gjbH4kjpl5bTtT7FIMiSjyHGo69fEAbyj3x/N9qFViyEbXWW9g/hxIZEtw75qRZu8eCvDvEw/GUX
bjaP/9qvNTZRhaIUOBH9R0vYDxz9intJKt7LBd+Cj8HXXvzSxdZft5qD5Itf3pqYD+srv5b+zT/a
HkN0PnjC5dIydTmC1GHvsgAxIjLnPlTs9VPxddi2KdYP5Et9aHuCY2YT70Ntk67xPjwDKNmy08Fz
pd6SJ1uRxT42CRCuJ0CTdQdf2a6dhvS4U6biZd0ZPej4+PqXiM+3Cb80fFr9K0nRCZ3JVsb24dfX
vb+k/Kgee38t8zXiLWLt6YjW/vKP2ybbSPNI+G32VAwbRui/lFZtbFvNgw9tNSf89sXm3D+blPmO
8682e//Lf2lsngpFVxx97WvNZRdttWv7MffQPP5KkZ7feuHIRc73HvQPy5NP7rBzmvzaEZUt3ndz
/h1DQ5/F+f+TdbWV3YDQr+tOxftwIg7rmmtXTD+AIE+1ftd4H54BlGzZqeC5Um/JGRMO7BZx/qtA
DjCF8b8kWHX8xGF3WGLkrnk5JddFepgckV8iSGfx8/hFsKrIkg/4CgdsXGp7Ii1OP+FH9RinFkZW
Tx3vw1OihFzWv34Tban9EPlS7ZLx3E4irSZbX7rYnGDrOWXnT90rHh751JvMOX/7Lv2rQ8Vg+Md3
vMPccsc95shXvuZeC4Hnt+Br3zq8pSJb9NeJ3ifr+Uk+K//3PlzPax9uQM4HB1F2qi6rG927kvDl
NMKpeApbRPpV/4iK9kECZdKayYhU5/jZQMmWnQaeK/WWImNi4cfg0mbIHSji6HV87bBwjIyTllyX
6MX0UW8snocVxSghH0F8zvZufGjhsEB8TJ+PoczjMLsxLuovbxv/n3QRJv9PtcvpsD7J/DZMt2y+
+1C1sR0A2frti8x9L/3EfWD4Mxf9vXngPxzX2DBnhje8wZjPftavJF42bzbm3/27pi7ppcKlmDbf
PPGKV1SgcGmbl7BveAP9B889zzxw9Cvu+S3cToSvffPgZud7B/zD8uST8FEiOsEPkJx/xxCdJ57s
sLRoXTwP37t4fABfbiOciqewRVBneHJdI9PX+oca5fXt7Bo/KyjZstOgmpX9pdyYTUd38RSOxTcc
Fc7n47h+yXWJXkw/12YKK4oxGNlyY8N+mfF4qc/HUKZzPZkvptcRpf3FL9rkLROEY37PweO5Pkvj
ZAunCg8cvciccOIWc8+LPzQHH3rUXPI3b21sljMBiMTdd/sVJCG/+qthnrGQrde9rmof/qe4NUy2
gCv+/M/N9TfebA4/8lX3YWt3unXgAud7D9C7txjZivo79+8SxPRjZeG6bW7FSFIAkV6Xk4r34VRc
SRrQSPe3CXd1jJ/h6ZaSLTsFqlnZX7KbCWfN5Bj4nzlg8zYPi0d+G7+hfjaFOQcvh+eV8bG6Ynou
viJ0FfMP2xA4qQwrijEo2WLxJX5UxYdjPAHiJwtP4Cs9UN7fql1VnQk/hB76wXy6huh39Ys8nAfX
erL14IW/Y9ZZsnX/kYvM8SduNne/8H1zzZXbzX0nndTYKGcCIgX4/3d/dxKPE60zzqjSINOc7rRh
SQlJjbe8pWrfNGRrSYFvK3540/nudAsPy+OzPs/cf77zvfvpcz7sgfmoX0v/bkNDn82pVFm8rtje
xXUFJidG4XxNxdfIld1ar1jLoO/mfNd4cV0SLoSSLTsFqtnbX3LGDI9ExUbm4+uH091gMv3aySoH
qfVr4lU5clCGjLe60bpy+YN2MEdk+RphRTGy5KO2OyHya4zZnsYPaPUjPmYpHbplYCF9ZVp0Ipfy
Oau6jeEix/27zsv751H5fjXv+Dw44c/+3N3C2X9os93wLjR7v/mS2fLe987nA9K4dQi57LJ4OkCE
40/+ZBKnZCvUW0PAM4Dvf/e7zT0PHDFHH33CvXvrqf2bnO/t/97L7rUj/K8Ta58GyK8j/p2FnOOx
U/BYHhfvb7HF8ibB9yk+X1Px4ZwEahJEKOlz0E/Rx87xrH1t4UIo2bJToJq9/UWNqeiCsfnLMvXX
3UL0r3pwH5n279U6/Mgx84HTT29skjMBSBYk9lwWASdaIB38VqIkHDECAn0qH/L44yFhA2L58JwY
BESQx0vEykc7pR7VIfVxnes35ePC42EXaitElif7JvUhCPMTwzlh+ymnmJ037DYHv/y4+8vEJ557
sX7vFv9YNXw05ruKtQnlB9b9/dTrLWpMRRco2VociGy5F5h+72X3ziM8rHzjzbeaPa9/fWODnAkg
eF4rlpaDJBIyTM86xYQTIpmvC9FKCcrkulRHTEDQuC5HLB+Pj6VzW1J6rjwI4klnTjh83HHmYx/4
YPCgPL13C744/Wd8wjsfE5ScRnXFPOviWFS9/aH8wLq/n3a9RY2p6AIlW4sBES35tni82fuqT37K
HDj++MYGORNAptnsU0SCwvTAPYgVndyAgIHcQGL5SokWQPnwTBkvn+rlZZAu0uh0jreF4mLI3UZE
eRSP/0moPN43Ioc4/aL24hSMTtpyJ2wzAP4q8QPnnmfuO/iQu5VIr4Hgp1vuQXm8BkJPt1YGyg+s
+1czrr+oMRVdoGRrMeBki76BiBdM4nbOpVsucg8xxzbJwQEBKYil5cCJhAyDOEBKyqV8RLRitwEl
cuVTGkgMxVEdklTFiJREjmzJfFKX9HBN7YKAIIIMzplgceB5wPPPPts9txV7yal7q7x/DYSSrdWB
8gPr/n4a9hY1pqILlGwtBkS25Kd58JdhOHGY2wencbrDb32lIJ8r4kRChumUp4Q4UT4ShGN6HG3l
Q3g5sq2EvmSL6wE5sgXI57UgsD3/C9A5AQ/Jv/ess8xd+w+ZBx96rHErUcnWakL5gXV/GEGhUIwD
R48eNUeOHDGHDx82Dz74oNm/f7+55557zB133GHOs5vgy7/4i40NciYgAtB2yiJJmSQSPDwN2cJJ
D71mou024lolWwD6RrcOubT1eQY455xzzPbt282uXbvM5z//eed78EH44oEDB5xvwkfhqzEfVijW
Iqz3DyMoLMbmFIoYxuYvy9JfebKFZ2XwzAz+DB+bYGxznAmIuHByIoG/IISAmFGcJBI8HLuVlwLP
h9MzEnmSxkHlx9ocq1u2lbAIssUBPcoT68uMAT/74j0PmP2HH65fAUGf78FD8nqytXpQfmBdv5px
/UWNqegCJVuLASdb2NhAtvC8Fh5UnivZAogU4H9+SwvPOPFbX/z0SxIJGcYpGARkgj8QTuXFHiIH
cMID4cQuBsoHPSof5IXq5SdFsg5CF7LF7VJaHtdDfgjay+1I8SXEdGDAz26/+36z/9CXg28luofk
lWytJJQfWNevZlx/UWMqukDJ1mJAZIte+0APx+PzKXMnWyArRFJSIm9zScIhw/TXdzFpO3WiuBwJ
ypWP/Fw3VgdQQraI/EFwKxVxpeVJvZyN5cP7cwD87La790/IlvU9/r4t+KaSrdWC8gPr+n7K9RY1
pqILlGwtBjGyhb8Gw1+FzZ1sASBcuF0oCYE8iSFIIhEjICAQ/PkkkBUQEq4Ty0e3AoncpFBSPlBK
jmKAXSg/BHGl5Uk9lEUneyRof67+GQJ+dutd97nXP9B3EpVsrTaUH1jX91Ovt6gxJfynHuQ3sPoC
n0vIfmJCxBPcJ2iW5+V3M/eXae0k0VU/gaUkW3ZjWzjZUowOKbIFX5wr2aK5PdAcb8W86llCjI4f
sE++0eeXrPcPIzljht+mAjaaHdLxfOOC70JBB/qCsLhvwi2507rvXaHd1AeG4AOgXfuRylNSFv/m
3oLRzV+mIIl97MQxzRhF0Nbftu8bNpDrX8Z2kmzhzfF47cMjX3tGyZZiLoCf3bJ3n9n34JfMoX/6
IxvF/HXDDdORrWnmKeWZJi+HmHPBXJZ6fepZw2gnW/5wosQ+3I4zt+kes6Fz+XjTf3PPst4/jGQ3
k1hjpcFiG6rT2Wg7y9Jc3PoZG7gvmLGlM7i+Rj42WgpZXlt8gMqhp657QHT2l67oZSeGrvoJ5Psb
8/GWOkv7hzD7cKySLcWiQWTr2r89zgb/yHyUvdj0yg1vMtvXFNmSG6sNp+5m9KpnbaOVbDnbiHUw
hTnZsf5A+DR+FflYt/X+YWRqsuUaljCw19lhO02/FnCqtWHLxNjhF9NDgrMJJ2A+jQhGVJ/qquMt
qM1BfKz8yBfQ+QmS1w36T3EsLWhXLC6oG04Zi2d1yny+bpSZ/OU1R0zrL8Vj2sdOQbxFrD0d0dpf
+Awt0sk2kq/5X4E+Pn8qhs3A53NpW82DRLYObjavO+F8c/vd55rjfuscJVuKuYDI1ttee5x5x83h
W+Tr24gPbW36vfft5hog5sOpG5key+vTZXkB2Qr0wjUjvt6z+dUA0qisyb4VW8PS9U7WsA27Jv1s
3c+WDG1ki/Yl7O/h/iRsyGwA0FhXPIKPg1j36jLkOt9iMzcGfD0VaXW5VHfYXr53WO8fRrKbCa/c
wTbMdcIaONfZuqPecBROGYA2LG+E2pFTt8/qDa4yUOD4vF7S5/VzfYGA0ETbGukPq2eHdaCJ03gE
fZvYzE02KiPXZlkOhReETv5S26jDmE5tp5Qv+PCUKCGX7ocE6k20xfWBxi7VLhnP7eTSEmTL1qNk
SzEPENl6zbo/NB8Un+ypyNbnzJ9avQ03VCdbtd/DfxEfWwO430u91DyiPHXexJrQKC+Ee6zFpofr
auQugiynbn+uXr+GQZdfu3xen4D4oA3LgzzZgq1ifYvYECD7iOt6/UR8bYuEbek6xz8Arh+g+9ps
vX8YKdlMgnjq6JaE45COTyOHdp3jnXHleGcHEC87O62+1HWwAyf1BWD4TmTLD1zjV5Osn9rEy3M6
rCyZxyHhbAvEVP4i+01h2Weyg9QvsVMsHw9PiaL+8rbx/0kXYRrLVLucDuuTzK8nW4oFoyZbr32X
2RUjW0cvcn56kG4jkt9Ln+fh1HUqLNcC+t+2r3VNSMERIpuHEzmeLuO61Ju75vl4+UuELNni/XF7
oSdAQTxDyhaMbO44lZXB7ePg19ASlLSBwlRuIo/1/mGkz+YZsMKETrQzLo4xUx7P62zTD9i00Ofx
Ml3Ge7SSrWT5jHQhrbRvfGLKdAnmkIvEYGTL9X9AO8XyxfQ6orS/8J36NnmsLS0TOojn+nWaki3F
YkFk643rErcRF0m2uB7Xj8VHIX9IszQZ16Xe2DX+j619lH+JkFv/3P5v/YLD7Z+p/sRs4dJwEob1
zo5BNH0KlLSBwi1rs/X+YaTf5lkdF4b3aqVOJF6ku0GLxLfqczbN9T35yR5jxsDJW0OXlcnataHu
uz9S3ZVoqyjPxQe/pBJtZvoNOy8Ag5ItaY9UfJGdQl+oywt0uqO8v1W7Jn45aWPdB+ihH5xIEUS/
q1/bbBGw19d6snXfppPMurVEtuh9UjHBe7r6flgZ76MC2uLmhUXWPUMQ2Uo/IJ+5jch9m4f5fJB6
qXlEerV+Yk1olCfSaE5S2OlGboHJcrrUG7sW5Q21Vs0CufWvYad6/8zcRkyMNWywAc9x1XtcwraA
K4ft+zGI8idoWZsjeaz3DyO9N0/f+IAIpDrK4uv75cjLH5bj+dr0oeM2pUla7bTIK+NT7aqBvvhB
lPkzpI50yAbJvjHdoJ38OqaTct4FIOsvvO0OTfLJ+zu4nZgvBD7SA53mhyTrdRtDckX9bpszbiHw
fndwM66rfMfbjW1NnWzlyBbJtB9Wxgs+IfxFn7G4eWGRdc8YRLbw6oddp/+WjSL/tqBXP2QekK99
W4Tr+RCbs7F5RPl5OYGehUxvoFpTa325vrOy+B921eml9Sauk/vZkqEbP0jvn7R3Jcfa6YfrZNS2
dTwbL4Fq3Zzki5M+Smd1Ij4yDtb7h5GcMdccsNnxXytTIGC6ywK+iS8YK+UvBViW/q7pVz/k3rxO
3/qDyLQSxMrO1TdrLLLuGYOTrUPRB+Tn9FJTxdwwtvU+Buv9w8haNyb/hSBPEKaD/8WzLITLndak
Wfy8oWRrMVhZsgWccUaVPs33/pRszQ1KtsYHJVvW9asZ3V/UmIouULK1GIyCbPFvKpZ8T5B/g5Ak
Fkd5u34bUerjOvbdR8IQdS8xlGyND8oPrOv7Kdtb1JiKLlCytRisLNnCs1oQEBUeT8SFxwHTki2Q
nZSk6o5J7mPXQ9S9xFCyNT4oP7Cu76dqb1FjKrpAydZisBJkKyUgMCAkPA8RFx4HSOIWI3KxOCoP
p2j0l4JIx19DQvgD+qSLNGoXdNFOiGwrR9+6lxhKtsYH5QfW9WEEhUIxDhw9etQcOXLEHDp0yBw4
cMDs27fP7N2719x6661rn2xBJOEYkmzh1h8EZZIOgdJwi4/iqG5JqmJ1SfSte4kBP7viiivMdddd
Z3bv3m1uu+02c9dddzlfhE/CN+Gj8NWYDysUaxHW+4cRFBZjcwpFDGPzl2Xp78reRgShoWeZePqQ
ZAv/QxBPOhwQToZK646hb91LDD3ZGh+UH1jXr2Zpf1FjKrpAydZisLJkC8CtNcjmzZM4JVtLByVb
44PyA+v61SztL2pMRRco2VoMRkG2YoRHvokdhAxCZcXKlnHT3kbkekBbP4C+dS8xlGyND8oPrOtX
s7S/qDEVXaBkazFYWbLFbyP+yZ9M4olU4X8QLgDpJFQWlc0/+ROLIwJF5SEOZeQekKcwoQvZmrbu
JYaSrfFB+YF1/WqW9pfBjJl41X0yflmwVtu9IMx88g01HgONn5KtAUAEJCcgHvwUC2QkJvL5LhAV
EnotQywOpC4l8tSpD9nqW/cSQ8nW+KBky7q+n6q9JWfMyZvZJ0h+DHmQTVJ+r6qg3gBT5B9qcx8J
cv4SfMfKYYo33w81HgONX1t/275v2ECufxnbrSzZAiHhr0TgwOkQvW4B/yMsCQ/yETmCpOIAfooG
QZkoj9IJfchW37qXGES2XmOv+Tz/46s92Tp6UeXDp94U+Lb7ykduXgS+v9Hs8OHo3GrMH6z5k7ki
v4tXlyHroPzse6oO+HJIoEtYnq94zBNKtqzr+ynbW1qN2XDuBFJ6pfklps1HWFS7VxxZ8jGEvYYa
j4HGL9/fjWYDW+iL6iztH8JsU1jTZEuxEqjJ1mvfZXbRydY955nX2bRTdniyddJfRObE+m7zwl2n
5lZIrng+R7SCevBhZEG4WHpFzMJPvO041ZO9oJzxQsmWdX3PlXrLNGQr/PXgHd/pYYLE4n1+XMt8
rNwAMYcP8oeTpIFI/rm0e8XRmWx5O25i37Ckr7APPh5BvEWsPR3R2l/+8fNkG8lXw5PX/KkYNgqf
z6VtNQ8S2Tq42bzuhPPN7Xefa477rXOUbCnmgijZwm3E+883x5+42TzgyNZWc+1mS668b+NUa8MW
6dsRyLmTmVtYN+q5Y3Wqa8yXyNocK9elCdLGEeiNG0q2rOt7rtRbpiFbAWhCQI85u9tIka/OzzYP
oK3cRnr1KyXYqHMfi15Uu1ccWfJhx6cmOgDZkY2bs3vMfr3HI/SPocaphFy6DQX1JtoS+GqqXTKe
28mlJciWrUfJlmIeSJKtF3aaU9a9yWz3ZOvgyzdVc5R8OuXzHFyHXTfnlr2mtSKVHoCtF7IOvo5w
uLTIWhbTXXEo2bKu77lSb5mKbElnRLrUI2emeJnHoXJ2txn5uNSRbzTcJX+dh9VP7YqVS/Eyj0Ni
ko4AJeQjiI/Zl8LStmRvqV8yHrF8PDwlivrL28b/J12EyWdS7XI6rE8yv55sKRaMcrL1c0eC4Md5
IsTAdWLXQRlEoHA61TKvcmQrqt+SNjIo2bKu77lSb+lMthCWt26QHtVjm6BMb0OsvFj5FJaI6s+h
3SuOwciWs/OA4xHLF9PriNL+gvDXt0tibYkt+Bw8nuvXaUq2FItFkmyJ24ggW0U+zyH9n+kHc8vH
7TjVrh27bFx9dwOkiq0nhGS5Cf2G3rihZMu6vudKvWUqssXC7lQJ4Vg83RZy8XDuya2VVjQcPsxf
l1+nCyyq3SuOQcmWtHsqvmg8wsWzLi/Q6Y7y/lbtqurM+Cr6wYkUQfTb3Srhm5W9vtaTrfs2nWTW
KdlSzBlxsrXd/LFNmzwg78kW+TH5b9tc5DoNfT63fJybH+E60JzzVb7U3Q6nL+aiPiAfQsmWdX3P
lXpLZ7JlQUfEwInWOV069HycA+Xh+VM6McQcPsgf2bA4Ivnn0u4VR5Z8cBs5+F+f3F7MroOPh1+A
gbo8xPdAJ3Ipn7Oq2ygXdN9G2gRIX5RXbQYVgTy4GddVvuM3vElPthRzR0227DX54rp1J5hz7mev
fpiGbMm5EtPnc8sBRKq5B1RzZtK+mowl5qPUr3/Y8TiHxCnYikPJlnV9z5V6ixpT0QVj85dl6a++
+kGxaBDZ0peajgfKD6zre67UW9SYii5QsrUYLJRs4a3o/EWdEHx6Bt/2i+nPE3iJaOyFqIsAvfQ0
963DkhejLin6ky1/O7CBcZ4arQUoP7CuX83Y/qLGVHSBkq3FYCFkCySGvt+XErwZPZZ3HgBhgSwL
cSEiBeHfRozpjJJsKdYalB9Y169mbH9RYyq6QMnWYrAQskWnWfifkwecaOETOySLOllaNuLCyRYk
ZhclW4o1BOUH1vWrGdtf1JiKLlCytRjMnWzRB5VLbon9yZ/E02eNZSVb9A3EmO2UbCnWEJQfWNeH
ERQKxThw9OhRc+TIEXPo0CFz4MABs2/fPrN3715z6623zoZsEWHIPZeFkxuQB34rEadgAJE1CK6R
Jj/GjFuUqdttiOe6EISpLvkMGYTydqknhra6U+BEitonSVWMbJW0l27n8jiMDQQftY7FD0yC4WdX
XHGFue6668zu3bvNbbfdZu666y7ni/BJ+CZ8FL4a82GFYi3Cev8wgsJibE6hiGFs/rIs/Z37yRYE
G3wsLQeQDCIGJNj8QShSQmSMAKKRE6pHCuK71BNDSd0pcCLFiRC/nSjJVml7KR8nfJzQclIMkiXj
BoCebI0Pyg+s61ezqb+oMRVdoGRrMVgI2QKhiaXlQCQIJzWcZIB0QEAEKB6Eg4hZTJef/iCdTn8o
PnZK1KWeGErrjkG2h8J4vi2lU9peImX8tAp/EUr5OTHDGCCewgNBydb4oPzAun41w/qLGlPRBUq2
FoM1R7b4CQwRBU46CHSSJG+bAcgHEgGCQuVCJJmh8LT1xNBWdwyyPQCRplibu7YXBIqPCcLIi/9B
vBAHcgaJldkTSrbGB+UH1vWrGdVf1JiKLlCytRjMnWxhAwdRiKVxyJMiIiY8DsSiTUBCSB8kBPWn
JEZcpqknhtK6Y4iRLSJUKFPqdG0vCBUE13SbEmUQ4UI8kTTUS/kGgpKt8UH5gXX9akb1l8GMmfok
Qyp+WbBW270gzHzyDTUeA43faMkWbextz/1IUjYE2SKyg1t3iMetM5QhyYwMd60nhtK6Y0jpUDz+
5zpd20tECvnQLgiPB8HihGxgKNkaH5RsWdevZlR/yRmz+aZf8T03jkE2yWNm00nNOrP1Bpgi/1Cb
+0iQ85dBvic21HgMNH5t/W37vmEDuf5lbDd3skVEgN+2kqANn25hATGyRac7Jbe2qN6YLpUNHYQl
uelSTwxd6o5BtoeA0z9O4iDQmaa9pI9yaGzo1mFsPAYEka3w24jrzB9f7ckWvo2IuFNvCnzbfQs0
Ny8C3/ffRrTX0bnVmD9Y8ydzRX7rsC5D1kH52fdUHab5NmKjTT6uzlvQp1qXsBxv1VeyZV2/mlX9
pdWYMUeKIaVXml9i2nyERbV7xZElH0PYa6jxGGj88v3daDawhb6oztL+Icw2hbmTLYAIBv7nzw7x
ExQIP/2iPBQmENnAc1B06xH5qBx6wJsID07LqFz8D4JBQm0hcsPbVlpPDF3qjiFFtgAqm4R0urYX
JIueAwO5onjEUVm5NvZATbZe+y6zi0627jnPvM6mnbLDk62T/iIyJ9Z3mxfuOjW3QnLF8zmiFdRT
fR4oIFwsvSJmjHhZ7DjVE6OgnBak9Hm8u070qWt9c4SSLev61azqL9OQrfDXg3ee2pli8czhZD5W
boCYAwb5w0nSQCT/XNq94uhMtrwdN+HXrbchfYl/8PEI4i1i7emI1v7ilzF+DSMu2Uby1fDkNX8q
ho3C53NpW82DRLYObjavO+F8c/vd55rjfuuc2ZEtbP60sadEkoEU2ZJkgwud0BCINKSEbq2hbhLk
6VpPDKV1x5AjWwAnbaTTtb28zyC9FM/L5voDIkq2cBvx/vPN8SduNg84srXVXLvZkivv2zjV2rBF
+nYEcu5k5hbWjXruWJ3qGvMlsjbHynVpgrRxBHoFSOnH6o71qWt9c4SSLev6flr1lmnIVgByHugx
Z3cbaeBIbPMA2sptpFe/UoKNmpw2hkW1e8WRJR92fGqiA5Ad2bg5u8fs13s8Qv8YapxKyKXbUFBv
oi2Br6baJeO5nVxagmzZemZGtgAQLpygSNKFkxc6/eFIkS0A5IBuo0FAbEBQ6ESHgHKlHsgETmwg
qBt6yEf1QSh/aT0xlNYdQxvZQv1E5rhOl/aifSQ8ntqHcnj8gEiSrRd2mlPWvcls92Tr4Ms3VXOU
fDrl8xxch10355a9prUilR6ArReyDr6OcLi0yFoW0wVSdcv6/HWjzV3rmyOUbFnXr2ZWf5mKbEnn
IIfhek5HTDiex6FydrcZ+bjUkW803CV/nYfVT+2KlUvxMo9DYpKOACXkI4iP2ZfC0rZkb6lfMh6x
fDw8JYr6y9vG/yddhMlnUu1yOqxPMv8iTrYUCoZysvVzRyjgx3kixMB1YtdBGUSgcDrVMq9yZCuq
35IWQ0o/VR9dy/953iWBki3r+p4r9ZbOZAtheesm5jBOj22CMr0NsfJi5VNYIqo/h3avOAYjW87O
A45HLF9MryNK+wvCX98uibUltuBz8HiuX6cp2VIsFkmyJW4jgmwV+TyH9H+mH8wtH7fjVLt27LJx
9d0NkCq2nhCS5Sb0G3oFSOkn625ZL5YISras63uu1FumIlvCaWInEi6ebgu5eDj35NZKKxoOGOav
y6/TBRbV7hXHoGRL2j0VXzQe4eJZlxfodEd5f6t2VXVmfBX94ESKIPrtbpXwzcpeX+vJ1n2bTjLr
lGwp5ow42dpu/timTR6Q92SL/Jj8t20ucp2GPp9bPs7Nj3AdaM75Kl/qbofTF3Nxtg/IN9sWW/OW
CUq2rOt7rtRbOpMtCzoiBk60zunSoefjHCiPdLiYTgwxBwzyRzYsjkj+ubR7xZElH9xGDv7XJ7cX
s+vg4+EXYKAuD/E90Ilcyues6jbKBd23kTYB0hflVZtBRSAPbsZ1le/4DW/Sky3F3FGTLXtNvrhu
3QnmnPvZqx+mIVtyrsT0+dxyAFlp7gHVnJm0ryZjifko9esfdjzOIXEKBjT0fR9kONWnrvXNEUq2
rOt7rtRb1JiKLhibvyxLfxfy6geFgoHIlr7UdDxQfmBd33Ol3qLGVHSBkq3FQMmWYtHoT7b8rbMG
luMUpx1rvf3dofzAur7nSr1FjanoAiVbi4GSLcWioSdb44PyA+v6niv1FjWmoguUbC0GCyFbeNcT
3mPV9o4qvPsJ76LCu7hS75jqi9z7uwglOrMAvV8rJbCLfPlrFyyqXwJKtsYH5QfW9avZ11/UmIou
ULK1GCyMbJHwT8NI0KdlIEq20pKzYQ5KthQLgvID6/owgkKhGAeOHj1qjhw5Yg4dOmQOHDhg9u3b
Z/bu3WtuvfXW2ZMtvNEcpzMxHYB0IIskW4sC2SnWd5wI0geiITK9BEtEtq644gpz3XXXmd27d5vb
brvN3HXXXc4X4ZPwTfgofDXmwwrFWoT1/mEEhcXYnEIRw9j8ZVn6K0+2cJqAU4W5nGzRyVXs8zz0
mRj6Np+SrTjIPvx7hqXQky3FgqD8wLp+Nfv6ixpT0QVKthaDhZItIlSx22AgYvgeX4xwIB//5h8E
YU44cPLDb0NCEJbPiMUIB+Wj56GkDoXltwdxLYkj2sq//4iyqfw2AllCtqgs3vcUiZLlxfRkn9B2
9IHrDAwlW+OD8gPr+n6K9RY1pqILlGwtBjGy9cRzL7oN771nnWV+9gu/0Ngce4Nv+tjY5a1EECII
yI4kCETQUkJlEJGQgnjS4XoUlkQrppMqG4LbnqTX1tY+ZAukLnUbUbaX0Ea2QLRS0udB/BaAbN16
133mvoMPmcOPfNU8+uQ3nA8q2VpdKD+wru+nVm9RYyq6QMnWYhCQre+9bJ799g/cRocN7+L3vNd8
+5WvbGyOvcE3fSIM/EQIGzsEpEsShNgzXNCj0xjEE2lAHJ1koXzS4XVxwhEjWlKHh0ES6UQJ9VLb
KI7CdHLH+wPhfYiB6+akrb2ENrLF20t2gy6dzFHcwADZuu3u/Wb/oS+bI1/5Wk224ItKtlYTyg+s
61ezqr+oMSXwJfl1+e8udkHsMw25eIL79MzyvSxv5v4yrb0kuuonsMxk68nnvmMe/fpz5sPnX2Ce
fNWrGptjb/BNH8QHgmePKB0kAMRI6lI6AEIDkoF0Ig0QXiYE5UKPEywOyktEC+WldGSYSBWBt5UI
H+8XgfLLPklQeSmBjWJlyPYSpC25Xq69dEI3g9uJL/3SL5nzzz7b3H73/Wb/4YfN0UefcL4HH3Rk
y/rk3MgWze2B5ngr5lXPEmJ0/IB98o0+9WRnwDCSM2bze02Rbzz5xgUfBoYO9AVhcd+EW3Kndd/K
mub7WCmkJmrJBG58D2zx6OYvc7YXR1f9BNr62/Z9wwZy/cvYTpKtb7z4Q/P1579rHnvqeXP5Rz5q
Dh93XGOD7A256ePkBKcquCaiRKc1UhekgE5gYkJ6RJ64xJ4/IsJBgjBP5zqpMIG3FYDECIrsUwox
PdiHTppS5KekfVKP2psT5OflDYBnfuVXzLZz3mO+eM8D5v4jj5gvXfr/2mjmrxtumI5sTTNPKc80
eTnEnAvmstTrU88aRjvZ8ocTJfbhdpy5TfeYDZ3LxxcCmnuWnQHDSHYziTVWGiy2oTqdjbazLM3F
rZ+xgfuCGXsoZ0iVU1R+5cgBkV0wOvtLV/SyF8NA45fvb8zHW+os7R/C4kO72Mhe/NHPzLe+/1Pz
3Hd+ZJ765kvm8ae/aa657gZzxwxOMxqbPt1KBJGia7plJXWJaOFUB2nQR5rUA0DY6NYhF37bjQgH
4ugv+3g610mFCbwNAGRosgXANmSHWPlriGwde/WrzSXvO9fcue9B89l3/qaN+v/MZdb3QPjhi1dt
ONVst74JH619ugTTzFPKM03eGnJjteHU3Yxe9axttJItZxuxDqYwJzvWHxefxq/EmgvYGTCMTE22
XMMSBvY6O2yn6dcCTrU2bJkYO/zaekhwNuEEzKcR0YjqU111vAW1OYiPld80anCS5HVT/S9uo9OH
M8biM2319aHM5C+uBWBaf5mLvYJ4i1h7OqK1v/AZWqSTbSRf878CfXz+VAybgc/n0x70ZOuFIxeZ
40+80Ny1/3zzW68715zxpleZrX/6p40Nsjfkpk+3sBCPUxu6hSh1iRBMc2sO8VQWdCmeEw6QGBL+
fJIkLzJM4G3N3ZYjAphqK0HaiQNxJPIWKbVPPmNFp31UHu9Hrr0zxPV/8Afm8s9cbX3ukPnb437T
nH770+bYM99yhB9kCz8A4JvffWhr0++9/zbXADEfTt3I9Fheny7LC8hWoBeuGfH1ns2vBpBGZU32
rdgalq53soZt2DXpZ+t+tmRoI1u0P2F/D/cpYUNmA4DGuuIRfBzEuleXIdf5Fpu5MeDrqUiry6W6
w/byvcPOgGEku5nwyh1sw1wnrIFzna076g1H4ZQBaMPyRqgdOXUbrd7gKgMFjs/rJX1eP9cXCIiN
1w36HyujrY1Of2IrN8monFxbZTkUXjA6+ctc7ZXyBR+eEiXk0v2QQL2Jtrg+0Bim2iXjuZ18miRb
d99vyZat548+8bTZdPbZ5uVf/MXGJtkLMRKBkxo6reEnSzGyBUJGBAP/04kUBCc9AATkghMRiudk
ThIn1A1B3pROCdlCmPrT9wH5lB71m/cHIFKF/1EnQCeGECpP9oPbn4ga7EflyRO/AbD59NPN526+
zdx74Kh57bo/Mh9lr314/rs/9mTrRvOnVrfh9/BfFh/z7fqa66XmEeWp8ybWhEZ5IdxjLTY9XF8j
dxNkOXX7c/X6NQy6/Nrl8/oExAdtWB7kyRZsFetbxIYA2Udc1+sn4mtbJGxL1zn+AXD9AN3XZjsD
hpGSzSSIp45uSTgO6fg0cmjXOd4ZV453dgDxsrPT6ktdBztwUl8Ahg/IVkw3VSdd8zqpLVKft0Xm
cUg42RJgKn+R/aew7DvZQ+qX2CuWj4enRFF/edv4/6SLMI1pql1Oh/VJ5rdhkK3v/PhfzbePgmxt
NvccuMD81vHvN7c+9bz5+D9eYh56zWsam2QvxEgEJ0z8RCZFYFICfejRc00xwSkOlR8jThSXIiWl
ZIvIXUp4/2NoI1uwE9mD306EfkzkiZrsRyofBLqkNxDwvNbFZ51d/yXif/jNM80t/OH4l35iXvjB
P5vvfOli66dbm34vfZ6HU9epsFwL6H/bztY1IQVHiGweTuR4uozrUm/umufj5S8RsmSL98eRGE+A
gniGlC0Y2dxxKiuD28fBr6ElKGkDhancRB47C4aRPptnwAoTOtHOuDjGTHk8r7NNP2DTQp/Hy3QZ
79GLbOH/0j7xCSnTJZgjLgMGI1vODgPaK5YvptcRpf2F79S3yWNtaZnQQTzXZ2kHX/65I1sv2k3t
hBO3mHsfvNC87oTzze3PvmC+8MW7zGfe9L8bG2UvxEgEbfTylEbq4qSFSAMEZANEjZ9mQQ9EhE5k
SJCP1wnEiBPqgKDsmE4p2QLQLk780CYilrItEm1kC0AaCSepqJeIGP5HWJYX6weIqLQv8vGyB8KN
J59sPvHxy93zWg8c/Yr5f9a9zvzD3eEtRDwcv1CyxfW4fiw+Cn+SEssj47rUG7vG/7G1j/IvEXLr
n9v/rX9wuP0z1Z+YLVwaTsKw3tkxiKZPgZI2ULhlbbazYBjpt3lWx4XhvVqpE4kX6W7QIvGt+pxN
c31xVFhDli/ByVtKV8ZTWMSn+uTig19QibYy/YZ9F4hByZa0Syq+yF6hL9TlBTrdUd7fql0Tv8wc
VXMiRRD9rn5ts0XAXl/rydaBC3/HrPvti8x9BzdbsnWBucO/3HTbWe8yz//yLzc2S8WUILI1AwKz
VvBD2/fzzzzT3HTrneaeB47Y+XnMfP7M423S/zafZqda2//sz801P94d93vp2zzM54PUS80j0qv1
E2tCozyRRnOSwk43cRuRl9Ol3ti1KG+otWoWyK1/DTvV+2fmNmJirGGDDXiOq97rErYFXDls349B
lD9By9ocyWNnwjDSe/P0jQ8IQaqjLL6+X468/GE5nq9NHzpuU5qk1U6LvDI+1a4a6IsfRJnfwabt
6tjGWDtEvmhbXfkJp10gsv7C++AwZ3sxXwh8pAc6zQ9J1us2huSK+t02Z9xC4P2xuq7ynfCmvzAn
WLK1//AW9+zWXv9XiXded5bZuvEvGxumIgMQKQh/vgygZ8Lo1Gyk+NSf/Zm5/DPb3ZvjcQvxS489
6Xxt7/tOtMnk3xZv2l299uHL6Qfka98W4Xo+xOZsbB5Rfl5OoGch0xuo1tZan2/eoiz+h111emm9
ievkfrZk6MYP0vsn7WHJsXb64ToZtW0dz8ZLgK+VQJz0UTqrE/GRcbAzYRjJGXPNAZsd/7UyBQKm
u2jwzXtJsFL+UoBl6y82NHoFBE4U6AWn9J3ESy/aar7y67/e2DQVGdBtupjwZ6xGBpySbj7rbLPn
tr3uFuKDDz3mfAy+xp/Vcn+F6P0y5rOKtYuxrfcx2NkwjKx1Y/JfCPIEYTr4XzyLJlzulCbN3hcF
JVuLBb3c1D27ZTc5eucWveD0wNGvmG3vPtO98RsbpkIxDfCXrdve9S5z7fW73YPx+Pg0PtEDH6N3
a9HrHuCL8MmZvzleMXco2bLTwXOl3qLGVHSBkq3FAhsaJ1zujfIv/cQ8/a3vma8++4J5+KtPmzvu
fcB8+O/+bvhXQShGAXzU/NI3v9l8ZvtO8/kv3u3erXXgS48634KP8Q9Pc6KlZGv1oPzATgnPlXqL
GlPRBUq2FgtOtgA63aLP9+B7dTiB2H3jzebjb3mLEi5FJ4BoXXPKKeaSCy90ROuOew+4byG6D09b
35KnWuSHSrZWE8oP7LTwXKm3qDEVXaBka7GgTY0IF51u4cWSOHHA8zT4y8TDj3zVfG7XTeajb/9r
vaWoKAKI+WX/9/+aT33s4+ZTn/qUe07rvoMPOV+CT9FLTFOnWkDMZxVrF8oP7NSAERQKxThx9OhR
hyNHjpjDhw+bBx980Nx///3m3nvvNXv37jW33nqr2b17t7nqqqvMRX//9+bJV72qsbkqFAQ8DH/x
O95hLrnkEvPpT3/aXHPNNeb66683N910k/Ml+BR8Cz4GX4PPwffID2M+qlCsAuwMGUZQWIzNKRQx
jM1flrW//DShfnbrey+724l42SSercFfjuH2Dz6xcsn7N5kr/vzPzbdf+croZqsYJ/AerZ3/83+6
vzrcccNN5pa9+9wzWjfccIPzHfgQfAk+Bd+Cj9GpFvfBmI8q1j6UH9hp4rlSb1FjKrpAydZyARsd
PbvlXgXx0k9qwoUPBeP2z9FHnzD3H3nEXLfrJrPl7HPMjv/1v/TlpyMHSPfNv/d77oWll37y0+bG
L3yxJlrwlZtvvtn5TkC0xKselGStPpQf2OniuVJvUWMqukDJ1vIBmx5OGmrCJU64OOG6+/7D5qpr
rzMXnfMec/4ZZ5jr/+APzLFXv9p9/y62KStWAyDXuJW8+/WvN1ve8Q5z4VlnmX/68EfN9Tfd4t6j
hZeWwjfwOR74ym233eae0YIP4YF4+BQRLTrVivmiYrWg/MBOH8+VeosaU9EFSraWD3S6FSNc9EqI
R5/8httE8Sf8eGcS/sps9y13mE9ecZX5x/ed6z40fM455yg6YhYvkD3yG78RrasPcJtwqyXY/3Tp
J8zVO28wu26+zZEsnGbBF3CrGb4BH4Gv4Bkt+A7dOuRES0+1xgPlB3ZKeq7UW1bKmInX7SuGw8z9
JTWGXcd2IF9YK2QrRbhwKoFNE6cU2EQfevzrBt+3wykXSNfe+w6a2+++33zhznvdn/p/4hOfcLeU
sBnfsOdWB5x+AJ/d/YVR4bobP++wY9cec831uy1J2WWu2H6d+cQV281HP3mF2fwP73angjHCNC1w
+nSxLfeyT19lPn31TnPVjhvM9s/e6NpA7Ym1lYPGi8YPY4kxxfcNb779LjfWGHOMPXwAvgCfgG/g
9Q7wlX379kVPtIhoDUK2dL2uQHZYQnso2bLT0nOl3tJqTPa9OYdl+ZRNDDp5Z46cvwTfsXKY4g34
qTHsOrYD+UJbf4u+CcqR618P27URLvzJ/hPPvei+a0ekCw9A4xMs2GzxJ/443bj22mvdn/zjtOOL
9zzggI0ZwJvExwLcVgNw8vP5O+5xJAWEBWQG5OfyK68x7/+Hf3DvpbKDNQjwHNXW0//elb39us85
YvW5z9/uTqDQBrQFbYq1l4PGi8YPY4kxxfNY+Jg0xhpjjrGHD8AXcKsZvgEfga/grw6zRGuIfaHv
HB1ojjsMtc9N0ybKM2R/BsJg6z3vm+wnwqycYE3NocReER357cS2+uzsHEZyxqwaFX4CZ8epQ3wS
Z0YoMb6iF7KTbwjbp8aw69gO5Av5/m40G05iC0xJnaX9Q7jD56doE5SEi/5KEe/hwvfscMr15HPf
cbcW8ekVbLJ4Mzg+MIyNF6+LOPjlx91GjNtKeIYHwOY8FuAlnvjoMkAkFEQFBAanfzgp+ujHL3d/
xWcXyEGAd6Fd8rfvMJ+66lqz83M3O5IFgoU6UTfaQG1y7bOItZ1A4wZgHDGmOL3CGGOsv3zsKTf2
8AH4AnwCvgEfga8cOHDA+U6MaB3cPNC+MNAc7YtB97lp+kR5lsQeHDNZ74N+so9XU3jIAx1hUzfW
QbtRf55w2Rk6jOSMuYlvJBLohG1kxQ69Y7qOYQOq4jfsmnxZ3X15uy3dlhGyTl+/N9gm9h3E+kve
QTsspnUARRE6T77M2KXHeuIj0gdc+cGYMx+dgS+09he/iGlxSLaRFu6JvwP5UzEsAnxesTQK+/8D
294wIVxEurBp0ikXNlI8h4PTCzz8jE0Wt43wl4vYeG+//Xa3CQP4s38QMQCb81iAkx4QEjy/BHIC
kgLSAsKDkyKccn3w/AvMQ695TYM0TQO8TPQjb3ubufwz293JGW734QQLJAtkD2QJLxZFmwC0D4i1
nUDjBmAcMZ440cQYY6yJYMEH4AvwCfgGnWYdOnSoJlmcaMH/kvuC88f8+h7OC4vA56mMiK/b62C9
YP4fnQfF+wPamOgPEOQP52OzPjG/LWGb6LG8Pl2WF5CtQC9cA4PyZozuZEuQF9cP2/5d1De5Bm6b
rHMNVGWR7garG/Q/sBvfMxLj4eqKjHVQTnNc7SwdRrLGbDECObSbBNhwyLDoDP+QMq6pM7l0WQ9t
ZC7fpL6JftiO2mi8DMWgyPvLxEkd6jGPjV2YNxzryYSof4nUY8tICBDED+8LJYsNPobu6k20pZ4f
yJdql4zndpJpFMb/Edse9BsjkS5smpx04VMrnHjRiRc23rvvvtttwridBICIAdicxwIinnh+iU7+
QLxAuHAb7pY77zXvf/e7B7mFiDI+uXGj+eTHL3fPWYHI4TQL9aA+kCyQJxAl3OYD0D4iTCnQuAEY
R4wpkSuMtSRY8An4Br1DCy8s5SSLiBaQ3BecP+bW94I5mvX1Sb3u5ClIa86D4vqm2udi9dlrXofU
y5VH/ajbHVnjGuXNHp3Xe6S5dqL9jMjWfRPXFlg/XX5aIx0qohT0VfafynHxkz2j8j1vv0y9E3h7
y/L9uNqZOox0Z64WstGukb6xsY7RdVt6XZYYQJ6eKk+Wo5gJOvtLboxwXTLW3LdkHgfhe7KeHijq
L28b/590EY5Nfg6nw/ok88fCqXgKW8RIF91eBIh44R1K2HjxrA42YSJh2JTHBCKd+AYgSAqIC4gX
CBdOuHDStH3nDebqU06JkqeuuPqP/9hc+qF/ckSLvkWIh9ZxmoVTLJA9ECu0Be0iskSEqQQYR4wn
nt1zD73bsSaCRX7AbxcCeCs8J1gcUf8FuP/Frgv8tRFXhyuiEpzotJWbLMuHU3GpNITb1prUdSos
1zb63/WVI1LvHDAVP7BwRNK2OzjhIv1UPxxJsn3lBJSnyzgKN3ThK+0kbwJGtiLl25k6jOSMGT1y
A2KNko2NXZek8zpj+UriKawYHIORLfxfOtaxBYnSuZ7MF9PriNL+YnGhY+5kH+g61i4ez/VlGg+n
4insQYSLEy8iX0S8cKoB4FMsjnx5AkYAERsL+GkfToNAuEB6cEsRz0x97AMfNIePOy5Knrrgxte/
3nzk4m010cJD7Cif/2Ug6gbBAmkishRrswQfOwdPrvgJliRY3EdAtrgPcRTtC7HrEn9t1WGkq61c
fuLE4ynswDbmIN4iVq7c56Re6joVjvVD6nH9WPwMMS3ZIuLUiWw5JIgPIOMo3NBNkK3UWKfK8WE7
W4eRnDErdsoWfYvqwcHK4ZPHodCNXXdJt3DlRuIneUPj1fqkpxgcg5ItFp8a66Zvhb43wWx8oby/
VbuqOhPzA3roh5hTdTwvTx6FszwpWzXKEOCbKSdcRLoAPKtDxIuDNuoxAOQEpAaECydcnGzh9t6m
M890z1mBME2Lfb/zO+aS95/v/uKQEy3cNsQzVjhNw2kWCB+/3cdJUw6xMeSnWDmiBV+Zal/g/he9
Lpij0E34+ob6GUd/e4qeA+J1URmR+lLzI9mf1DxO1uev+bwN6mspr9YP9Wo0yhPgdZeECzAd2UL7
yX7e/rztvB24prWRwk4vcRuR10lhGc9JNtJYn5s+V9nakcJE+XbGDiM5YwKVI9JRpj/iQ5rrBMUz
w/FOyuu2dHtd37+1oAcM05PJXtPRI9cnPcXgyE4+Pw4TsAWR9ErGmpdBefmYp3Rm4AudFpvGJKc2
hgsc9Tv/gDzNvWqx4vOwaF5EwDdUgiRd+MAwbcYctFGPASArIDcgOThVIrIFIvS5m281n3jzm6ME
qhSP/eqvmm1nn+P+6hAPw+PWIYgWyBzqQX04UaPTLCJYsbamEBtDgMY5RrII8JWp9gXuf6nrgjka
9XW/KdbxfHOUfp+ozyFSn6zToXSfi4Tr+R3rX648Xk6gZyHTY3B52FrTFi5A5/X+YUEUnf1tnaLt
kzVwT/AQe/2cH/Rceydp9Z0DX4ZLJ7swvbb1Vo513VbRRgrbWTuMtE0qhYJjbP6yqv2VGyxtvvRg
NIE257EAhASnQDjdAtnCyRaemcJpE16f8PEPfqjXLUR8Fmnbu880116/273BH+/FwnNgIHJEtHCa
hVM1Os0i8hRrbwn4eBLk+Ev/WEm/x8bPT1EUrVgTfiBJ0sCwM3cYUbKl6AIlW6sFuenSg9FjBEgI
yAnIDUgOkS38BSD+IhAPrW866yzzw1e8okGiSoB3aV3093/vXliKF6Ti9Q64LQkSBzJHRIseYqdb
f5I0xdo+LWI+AayK3/PTc3nioWiHki07dT1X6i1KthRdoGRrtTHm9QDkA2SGky08N4UH1fHqh5tv
u9N87LTTGiSqBHjG6+J3vtN85prr3AtL8TZ4fPgZBA5EDoQOtyxBtOiZKzrNShGsWB+Ggu4LCkD9
wE5fz5V6ixpT0QVKPlYbY18ParL10k/cM1N4TxXdQrz8sk+Y+046qUGk2oB3aX3wr//afYaHEy28
Rwuvd8DD8HhGC7cO+W1DeZIVa++soPuCAlA/sFPYc6XeosZUdIGSj9XGmNcDEBoiW3heCidNOHHC
axjwCZwLzznH3QqMEaocPv7mN7uXloJo0a1Deo8WTs1wegZiR7cO5S3DWFtnDd0XFID6gZ3CMIJC
oVAohgGeV8MfCBw8eNC93PWee+5xny+66aabzBVXXGE+8ta3NohUG675wz80W887z3zsYx8zn/70
p92Hvj/3uc+Zz3/+867su+66y+zbt8888MAD7h1n+GtQtAFAe4BYWxUKxXxgZ/IwgsJUVEplbP6i
/R2P/PznPzf/+q//an7605+aH/7wh+bFF180zzzzjHnsscfMVZ/4hNn7n/5TlFCl8Pnf+z1z6ZYt
jljhM0ggcV/5ylfMk08+aZ577jlX/ve//33z4x//2Lz88svmX/7lX1z9aAfHIkT3BRWI+oGdyv7/
3qLGVOkiSj5WW8a4HhCp+bd/+zfzs5/9zBEfkKAXXnjBfP3rXzcPP/ywueicc8y3X/nKBqFK4YET
TzQfPvdcc/PNN5s777zTnVx9+ctfNk888USDaIHcEdFCGxZJskh0X1CBqB/Y6ez/7y1qTJUuouRj
tWVs/SViQ2QLpOcnP/mJ+d73vmeef/5587Wvfc3ce++9Zus739kgVCngpaWXnHWW2b17t7njjjvc
LUnY9dixY+bZZ5813/72txtECySPiNYyiO4LKhD1Azul/f+9RY2p0kXG5i/a39UWTrRwsgTiAxL0
3e9+13zjG99wBOnqK64wt//X/9ogVTE8/8u/bD54xhnmxhtvdERr//797rmrxx9/3Dz99NPmW9/6
liNyP/rRj5byRItE9wUViPqBndb+/96yUsY8ts2sX7/NHPNBleFl5v6SGsOuYzuQL4xtsRlTfznR
AnC69M///M/B81qPPvqo2fae9zgSFSNXHPhLxW2nn2527drVIFpPPfWU+eY3v+lIHMrnz2hR/ctC
tCBz8QNdryshOyyhPca2/sXEzu5hpNWYe8S3pTbu8QlLKDp5Zy45f1nP/cRhvdnWdTBSY9h1bAfy
hbb+rucdLKkz17++thtAxrS4cqJFp1ogQT/4wQ/c81ogSHjWaoslUHZAssBLSy/5m78xO3fujBIt
3JL8zne+48rGbUqQOnmitabI1hD7Qt85OtAcdzLUPjdNmyjPkP0ZSAZb73nfZD8RZuUEa2pOSuwV
0Tm2Lfw2Ylt9doYPIzljVo3aaLjb7dkYhpdKSoyv0kuyk28I26fGsOvYDuQL+f5uNBvXswWmpM7S
/iEs5t48pHWTXSEhsgXSQ6da9LwWTqHwMPvO7dvNF37v9xrkigMvLb30zW82V155pbntttvMfffd
517dgL9ipBMtEC16Tgv18Ge0lo1oQeayLww0R/vKoPvcNH2iPEtiDy4zWe+Dfu4xGwOSZsNDHugI
m7qxDtqN+vOEy87yYSRnzG18I5GCTthGVuzQO6brGDagKn7jnmO2DLouSHcqnHX6+r3Btm2k+Il+
2A6LaR1ApUg6T77M2KXHeuIj0gdc+cGYMx+dgS+09he/iCcdSrSRFu6JvwP5UzEsAnxesTQK+/+j
82JKyfV31YTIFogPTrXwDBWepcKtPvzF4Fe/+lXz4U2bzJOvelWDYHF8+tRTzWc++Ulzyy23uHdz
4V1ZuP2Iv2QkooUTLXogXhKtZZSp9gXnj/n1PZwXFoHPW0n5urtk6wXz/+w8aKvPhqbb52L1iflt
CdtEj+X16bK8gGwFeuEaGJQ3Y+m83ttWBeTF9cO2fw/1Ta6B2ybrXEOqskh3o9UN+h/Yje8ZifFw
dUXGOiinOa7r8JcuCoVCoZgOeIgdLxi94YYbHD772c+aHTt2mKuvvtpcfvnl5iMf+Yg5v+UW4vVv
eIN57xlnmPe9733mggsuMNvsgo58H//4x91LTFEWyrzuuuvM9ddf7+pBnag71iaFQrFcWIdfSgqF
QqGYDrhd+NJLL7mTJzyjhVMovJoBr3t45JFHHEHa9Yd/GCVZwN7//J/NP51/viNPX/jCF8zevXvr
1zzgFiK9vBR/gYjXPaAe1Id6cUsx1iaFQrFcULKlUCgUUwJkB6QHtwzxl4cgRCBGeMYKr3t46KGH
zCXnnZe8hXjkN37DXHLuue6X76233uo+uwOihYficQsRz3uBuCnRUijWNpRsKRQKxZTgZAtkiE61
cBqFU6kDBw6Y88880z38LokWCNgHzjrL3QrEA/H4FA/+ahFEC5/jAdHCayPwF4g4MZNES8mWQrF2
oGRLoVAopgQID7+FCGKEl47SLUTcGtz5R3/UIFr4ZM8HzjjDPX+FEy0iWrh1CKKF/G1ES8mWQrF2
oGRLoVAopgQnW/IWIsjWxy64wBx79asDooWXln7o7/7OvUsLH5fmtw7pRAuEDUQLZeL2JE7O9ERL
oVi7GPSvEanQWJoihNqqHGqrYUB2nAdi9a8i+F8i4kH4a665xlx11VXuLwgvu+wyc+673x3cQsRL
Sz/0V39lzjvvPPdXhxdffLH50Ic+ZC699FL3l4uf+cxnXBkgYvirRpSLN8mjnj5/eRgbI4VCMT/Y
FWAY4RMa1yppUVuVi9pqGOF2nAfGMlZ4vxW9yBTv1sIpF2774bmt22+/3Vzzp39aEy2Qriv+z/8x
n7NEat++fe62IV5aGvsMD70dHmXjZal93qU177FXKBRNKNlagKitykVtNYxwO84DYxgrkB96mSle
MgqSBLIE0oTnrT51ySXmode8piZbO045xey6+mr30PyhQ4fc81n00lLcMsTtQtgORIteWso/xTOt
zHvsFQpFE0q2FiBqq3JRWw0j3I7zwBjGKka28OwWiBP+GvH8s892tw1BtG4++WSz8/LL3XNZIFkP
P/xw8A4tEC08i0Wf4eEfl+5zqgWZ99grFIomlGwtQNRW5aK2Gka4HeeBMYxVjmzhNuHlf/mXjmjd
v369uerDH3YPzOMBeJAsfMIHJ1rf+MY33Csj8PA7bkPGTrT6EC3IvMdeoVA0oWRrAaK2Khe11TDC
7TgPjGGsYmSLbiNefeml5vBxx5nHf+3XzGX4i8RjxxzBwisdcJqF24w40eJE6+WXXx70RItk3mOv
UCiaULK1AFFblYvaahjhdpwHxjBWkmzxB+Tff/bZ7pUPH9u0qT7FwkPwIFk4zQIhw61DTrRw+7Dv
w/AxmffYKxSKJiqy9exO8/a37zTPusB0spBNMdXuAfqTlZ7lD26rWfe3qwzYnkFtRe2ahb2WbQyE
cDvOA4P49ZILJ1sgSnjeCs9dHf3iR8yFf/MOs80SLnoLPP46ESdZIFn02R0QLZyGEdFCOUOeaJHM
e+wVCkUT8yVbqOfkk83JDFv3s7SubUjl6VJWo01vNzvbMk7TViZFtkrJ/q2srRYwYM/2ZGUB9uGS
tVWjbcyfYkLtamvfnPr87M63szpONm9vrWR64XacBzr79bTixyqw3RRjkZSMLxApwmkUbv/hrwhB
nj576SbzvjP+wdz3ta+5l5KCYMlvG8JGONGKveJhaJn32CsUiibmT7Z4PX4hy26QOUm1u0t/om3a
arJN6lJ+RIpsFZFqcw7btn+rDfdsT1YWYB8uWVvF2parl9JL9XzQhQfusxvLQP9Zs3Nref6uwu04
D3Tx617i7L7VbH07I8QdxyIrGV/gZItuJeJ066NbzzVvfetl5uHvftc9wwWCRW+Ah21AyKDHT7T4
c1pDy7zHXqFQNLHOLSR8QXGLSfNXXJtkN0WS2CJIcSwt+MUfi6N2uTxYaGPxhf3huk72m620sco0
CncpPyJFtmqI3Yz5hsIl2Z6wHzu3Urw4Uaz1l8M+XLK2kvXj1C920ifbxdPdSaFol8w/eJ9RXsYW
sfy+/OgYFgi34zxQ7tc9hexOY8/j6Dphy0m6H1sbs9OuJ4FZua6TiS/8/JkdNm2HeZpuJT653fzV
X11tjh270rzlLZ8xj8IWj15h/vL3f9/8vsXrX/8Wc+WximSBmOE0TBItJVsKxWpCkC22qUAaC01a
spsiSbQ8Xyel4X/WBndy469r4Zsq27Tq04K6noL+yDiUTWGZRuEu5UekyFZSUDavi0vQnskm7OxR
24ltznUfl9M+XLK2Qnn1RprYTCGyXfz/mE1l/qH7HIurJZEf/0fHsEy4HeeBYr/uK8yW+y0Rdfap
41JjMYnHHNlq15jKrjZe2pSV74TZnZMtd7r19WvMaadtN1/72tWWdF1ljv34TnPB6y8wd/74x+52
4cs2/rTTrjZPstMsgEjWLIgWZN5jr1AomgjJFv4PNi8gshlFJLspksiFy4lf+IKFMFKvbBtvt1ep
dFhZMo9DQbk+qdFeXm5p+REpspUU2RYusl0+uuobt60Xrt/WfqkTK8cHG+0oKb9FsrZqq99Hp9uV
aEud7hErywfTZXNEbFqXgdMUr5fLH+SxIsMtwu04DxT7dV/hdqBr/n/MllZ1/9aKmNe34elHSc1m
vcgymM052cLJ1L8+da1561uvMU8+ud2RqieesOTqDW8wb2B44xsvMvs8yUKeWd065DLvsVcoFE00
yRZbTLpIdlMkiZWfrJuRLqTx2y6pPE6PbUwyPSZch/K7BCsyvyxXphdKka0aAnswG3BJtQfh3EYt
42PCdag8l2ClrVyZPoVkbdUoXxJ3L4l27aeTPyk8P64H73NkLNvyy/iieibC7TgPlPt1TxF2cCdV
O1tsacXp7bfj4NL97cP9dMLFhJeBa+YLRLaesWSJyNbb3nat+frXr3Gkq/7/X/6lfn8WkaxZn2Zx
mffYKxSKJtbVv6bdglIRnNj+0ybZTZGksfix+ijN/r91wqqq55T2h/matwtZPArr0h/ZJtwmoAUV
aWxxbdY7nb2KbBURVz/f+K2ED8iH7Wnaw0uX9su8c7APl6ytYm2j+nPtYvlw66nxV4Cxcgfuc53P
hyd1JvLLNvGwaFNMuB3ngS5+3UukXbz9KttmxsLmw0P1NPbP7rREy86lxo8ZWX7EF+7zpOnpHW8z
b3zbDvOUP+H6+s/uNRe98Y3monsnz2VxojUvmffYKxSKJloekA+PzXOS3RRJZNmx0ypaLD1oMcSm
WMfZRbFuN9Ot29qlP1zXi9sIfduq6ypvUG9p+REpslVCeHscsJMk28M2Bd6uLu2Xea3M2j5csraS
ZUsS5OMb7Qr6VPlb26sDZtFnXo4ri9oQyy/b1KhPyVYtRLpxHbNlpWTHna0/PA+XSPlJX7j4YvM2
S7aefnqHO+F6CidZOO2yhOuNHif7kzAlWwrFuKBvkF+AqK3KRW01jHA7zgNjGys6rSLQKZY8zSLM
U+Y99gqFogklWwsQtVW5qK2GEW7HeWCsYyVJlcQiZN5jr1AomlCytQBRW5WL2moY4XacB3Sslkfm
PfYKhaIJJVsLELVVuaithhFux3lAx2p5ZN5jr1AomlCytQBRW5WL2moY4XacB3SslkfmPfYKhaIJ
JVsLELVVuaithhFux3lAx2p5ZN5jr1AomliHiTgUqNBYmiKE2qocaqthQHacB2L1KxaH2BgpFIr5
YV0sUqFQKBQKhUIxDJRsKRQKhUKhUMwQg95GVCgUCoVCoVCE0JMthUKhUCgUihlCyZZCoVAoFArF
DKFkS6FQKBQKhWKGWHf55ZcbhUKhUCgUilUDJEZ+gJj+rLDumWeeMQqFQqFQKBSrhjayFcszC+ht
RIVCoVAoFCsHkJwSshVLGxpKthQKhUKhUKwclGwpFAqFQqFQzBBKthQKhUKhUChmCCVbCoVCoVAo
FDPEUpCtx640p512pZIthUKhUCgUq4c+ZOu0k082J194RxB3x4U2zhKnx1hcK5RsKRQKhUKhWFX0
IlunXWguPO00c+VjPs6RptMccVKypVAoFAqFQmHRj2xdae640pKrKx9zYZxqXXhlRZxAth6zaSfj
9MthQsqCeOgq2VIoFAqFQrGq6Eu2HvvBHebCky80d3jCRMSpcbJ1x4XVLUekQ9/H33Eh5b3S/P+p
U8vVIfvLHAAAAABJRU5ErkJggg==
------=_Part_444_728744853.1711641693337--