ipad commit 2025-12-17-01-15

This commit is contained in:
2025-12-17 01:17:13 +09:00
commit bab5060120
1962 changed files with 216780 additions and 0 deletions

View File

@@ -0,0 +1,229 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# 플래너를 써야 하는이유
# Excalidraw Data
## Text Elements
플래너를
써야 하는
이유
^HNDAq2s3
성공한
사람들은
모두
계획적인 삶을
살았다.
^DZLZ5i5H
예시 ^VEJ1JDZo
분류방법 ^VAfeqa2t
사람은 태어나면서 끝이 정해진 시간속에서
살아간다. ^Fj936vyQ
1 ^WmR4uCLt
2 ^UEYWWSxy
3 ^EdrGpWgv
4 ^Ajr0Fpc4
만약 사람이 100살까지 산다고 가정하면
시간으로 환산하면 하루는 24시간 x 1년은 365일 x 100년 = 876,000시간 ^vrLbJeE0
분으로 환산하면 876,000시간 x 1시간은 60분 = 52,560,000분 ^MyBQpbjb
초로 환산을 하면 5,256,000분 x 1분은 60초 = 3,153,600,000초가 된다.
만약 이시간을 돈으로 환산한다고 하면 초 = 원 이다라고 가정하면
우리는 태어나서 공짜로 3,153,600,000원을 받은 것이 된다.
이돈은 쓸수 만 있고, 쓰기 싫다고 저축이나 나중에 쓰는것은 안된다.
무조건 써야 한다. 가만히 숨만 쉬어도 시간(돈)은 사라지고 없어진다. ^j2QaSpL2
그래서 사람들은 시간 = 돈 이라고 생각하고 아껴스려고 시간 관리를 한다. ^WAQh1z3a
사람은 성장하면서 점차 사회 구성원으로써 각자가 소속된 곳에서
각자가 맡은 일을 수행하게 된다.
예를 들면
갓난 애기는 먹고, 자고, 싸고, 자고
어린이는 예절, 옷입는법, 먹는법, 기본적인 것을 배운다.
초등학생은 글자를 읽을수 잇게 배우고, 덧셈/뺄셈등 조금더
어려운것을 배운다.
중학생, 고등학생은 6년동안 공부해서 좋은성적을 만들어서
좋은대학을 갈수 잇도록 준비한다.
대학생이되면, 이제 어른으로서 사회에 나가서 일을 할수 있도록
취업준비를 한다.
직장인은 돈을 벌고, 결혼을 하고, 자식을 키우며, 부모님을 모신다. ^2Ed8vq6d
1번 ^Dxz54BtE
2번 ^TopWJoau
3번 ^vlVU7PHF
## Embedded Files
fe141264b9c8fbe9ce88abac3b0ae96bacbda9fe: [[Pasted Image 20240526160736_543.jpg]]
fe0ba54b73d79fd439abbbc08dc6932874bdc48b: [[Pasted Image 20240526161251_538.png]]
73357c9a5443a7c721c0998448aab9383c3c7d60: https://cms.boardmix.com/images/kr/articles/2023/skills/time-management08.png
31a4ad0382d3a7a9a8e6bf493f00efb2e1528a1a: https://1.bp.blogspot.com/-CnyA4XCfhmw/Ww_-cNBECWI/AAAAAAAAGmA/B2BKOYSAeAobw5owgvhO_-Kr9AQd4Y1OACLcBGAs/w1200-h630-p-k-no-nu/%25ED%259A%25A8%25EC%259C%25A8%25EC%25A0%2581%25EC%259D%25B8%2B%25EC%258B%259C%25EA%25B0%2584%25EA%25B4%2580%25EB%25A6%25AC.png
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebTiAFho6IIR9BA4oZm4AbXAwUDAi6HhxdEDsKI5lYOSiyEYWdi40AEZWgA5+YsbWTgA5TjFuAGYABgBOAHYRqYBWCe7IQg5i
LG4IXB464sJmABFUqARibgAzAjCliBINgCl+gEEAGQAFBIBVV+wAYWV+oTMHgcAAqAFEAEoIMY7SBnQj4fAAZVgtQkgg8sIgzCgpDYAGsEAB1Ejqbh8fICXEEhAomBo9AY27XPF+SQccLZNrXNhwXDYNQwbitMZja7WGplMWUiCYbjOVojBJTbQTHgdDpTKYdWYdOYANgS1yFaGcCRGcQtEzmOomSv1PFaixlOLxhJ+bHwbFIGwAxK0EAGA1jNPz
8cpWasPV6fRJcdZmHzApksRRSZJhTbtGMpo65jn8605uaujLJAhCMppOSEgltMrOiMDRaeDx9bNrmETsKOsq5iL9ZrrhHhHAAJLELmoPL1SCaCg/ADyFCRbB4pCexFwrzu9AAVviifiAIoQSkAXWuZ3I6Qn3A4QkRLOEqw5zCnhXqJUQo0pAF9rk0F9iDBYJ0kyKcZ3qT8v1uOMjEkSQAA02GID5F0eNgAFlFwmAAxYhnHxVofgANVhYpYB/CRcF
IPEqEpMAAMYmDdlOCQfjgDo7iMegfkeMZ9j3RcAC0RMIABpM4AHF+n6V4KMgKiyk2Oi2AY2dmNnVjlnY9B8AACQ+UjlDOIw4CgfAISEIk2EeM4pgoM5iMU78VNo+iz00i9riEOAt2OPTWimVp9SmHNFVaBJ9Vaa4iA4fF70ffA4rYbBCT0i58DCfItIKGVlI2Y5MCgLFemaYV9WlL9yoGIYyk6RUJj1JtnVg1Z1hokYsT2Q5gkC85LgQa44PQAz+
n2R4AEceGYbqrwRZFURUplTk7alCRJYgyTQCkv1dGk6QZbFPWZGVWSrN8p1imVeX5QVhVFcVqgZarijlU1FTGDptD1NsDVzHNZjmY15RGDoxniO0EhFb7+zVPbigO91PW9P0g0DJBALDEchCjVHY3QeMOETWiMlK64022jM0A6OIRR4MZ9SqhJRRGCYmeuctK2rNpa20EUJnaHh2drMYEh4I0XQQbtdvGDoJgmfU2uKXHx0nXJGIgeclxXNcN0eL
cd33Q8Ty8opLxla9cFvPSHyfc7gKupKHa/IC8ZAsDycgy2vz8gLZdQYLJclumpgdJU4pWRK0HtlKZS9dLA6yq4rc4KAkUIIwGomeIouLHUnR4OZwemK907wm2ERNIPrmK0qJEAGFXAAz2wAIRsAH07UAAHQ4HvAAthwAfUdQQANVcAFKae571BABdxwACcZ7rFyAoEEsAb9AW477ve44QeR/Hrfp7nrg65Xx4iGUFp9IQM4KZlRooHMAhT8rC/oF
5LE9EyXAViYO9Y+SnlSCVhWAQZeJUNjr07hPbeQ8x5QIPvPcUQgoBsChKwbO3BcRCGGgnb+BkKxVlXq0eIcxcrdBgm5DYHl1JlSYH0C+Gpri1Q4IMDgwxdqTHmLqEWI0OofXQLgJII0DhHGTkNEaeloAIWQqhdCmEcL4UIsRMiWJ4SIiOitU6a0XQbWJOmck603S0mWhsVaC9hCXU5MKHkfIBSwEem9SAEpXrXD4QqTocRRStgZhDSWN0vw12cCM
YK2hAaTFaI6XsExooGJpNGNGEh/SY2DNjdKuN8YxiKuQEmSZyapj0WgFmISmwlhhsUg0XN8G8yDr9BmVVRSdFzKFfUnYZZBQNBzDoVV9QgxlGrCcPsrw3gQL/VAcdnwe2dmgViFDdr/kAsBUCaRva5F9sUf2uABptBCmFHMIUDR0yjglF28cvyJwyoNbK2D9pRFIFAAAQisRw1RuDTNSOBKAIyIAPBeO8L4vx/iAmBOCKEMIlhwjSoCeUkMmZjCi
mFSWcxtTMxmOUrWyhcBwG4CqPUCR+yDhzNFQW+o5kygyMQB5qwVjKBeVrN55NPnHlwI8Ay+B6AQlIIuNg+piCSBgGOUwzwiRjGpWCiAZwIVTkhk1KJbYYY6jCkEngUxRXosxbtOY8QEh2mCmMdUIoIZhRJac0IUAPT6H0GoQKrw2ArFXmM7RtEoCPDUhQcsuA7b/1JasZ19E3USKoVQa4cAbUQU1rOKC9QHFFDGIxVZRQI1FEKSikpipiyotnGAB
UNTdV1NhZqR0zNY0XlIfkchhUJAVCqJKGhTRODcGtIw2hzQWFsKDiLYsnQOhFh4WsPhmw5g9WEf1URlzxEbEZcy1l7LOXct5fy+ggrhUqMWuokxmisTI10dTfR2jDGrvROu8ZFj3xWNujYh6bQnoyicVKFx8o5hzA8cFXFCQdR6nzaDU0MNc64qCSMGK4SRjszGD065hi4mEwgIkjGIYcaRmIBBzJCYckpkpvkoOVVsxNi1IrR9sLpjKrLJU1eIs
iHhTpriumsLdV+KRq04UIpX2NR4CrSAfSNZoByHGsVQyRn2q/PByZqBpnltQCMI1xR3arEWe8yCLFGK6Q2HuXAABNNgUxjzbTBESOA+pNCECmqoEYmhnj4FcqJ1SnlGJ5SKDpG4Ei8LYDHD8ESzx9QwCRDDCEi48HMGcPoL+Y5zOlEoS682RQbP5QzfZoqUiUJoQwthXCBEiIkXImCpSIWaJhesz5GU6zNlB22eFLURZ86HJjqMz1py0rnLQCnBA
JbbMFSy0TFeNa6HCgbbfJtdVWENVLqKIGhH2q9sofqQdfUECFYa2OiQ+xXMiTmIQOYBll1qOMQezEMTNrocRlSPdm3GSHsdmyITtHIB3VsTXWGz1q1oAcbKe9SptBKmVGqGjUxFaln8WDLtAsI7MzCgsZmSqdsIEQwkjGySZShlSfByHRMsmk2TDfL8VMdpto1cqPURYHSgeKNzAhmZHtdiCozGYVVwkjdVqydWAyra8Y9a7YognLF/xZ3OBZXtQ
2cfk9F0aEBlNqY01pnTemDNGZM2ZjLMz+E5c0mCuzgvHPOdc+5zzrRvO+f84F4L1F5dWe8vUbjBXA7Bwlq+pVEcpanOjsc1KSdMpiLTpkTO6D2Hl0yJXC1+AbvHzARIQAjIOAFeawAOqub0ADUDgAY9sACctgABcZ7oACq7AAKLZvQAIzWAFi1wAgBOAA9x1AgA2gcACLjPdAAtA4ADVHAAnTdoBB51KCgNXhAUPEee4x4T8ntPPcs958LyXjgFf
q+16/PXJ+58NjBGvjW++7hR8v2QZi64H8ojf1IHx6rxRvRAI4CA9rwfw9R7j4njgqeM85/z8XsvVea9H2vUglB4Qs5lEwVc4o8UEB4J5oQ4hTWouUVaxgfQTQE4LcTQWoRtWtC+CWH7HoXrZheqLFAsNsYKAnZYXhShKYSbERZ3UdGUQXRcM4Y8fEOACgcSfUZ4LCZgY8fQH4fQCEJEMEYgDodbJaekDRbbXdGkLaTHfbbEHRfdY7dggTcxdkdnW
uM9e6OxS9R7G9bgR7VxCGfMX6cWJ0B0MJTpT9VAcOH6BWZqEuKYVmL7IWcHRHaAZHFDNHSTODYCEw4mFHXJNDbdNAB9fUbQGKEDPsIsfsHMCpT/bgXsaFIbTxBYRmb6Fpc3DtIDEKHUYcOnfpFZQZG2YZZnE5VnJ2UQkTVrcTeoGzbWbnJZXnacU3fyDZc3YrcWJAnDCrDYaQWQeQJQfQbQUAtgZQbQbfRoXQAwBQa1HEUiQgBACgVo3ARoAAfia
OUAnAAF4tw9hJAVgAB9MYgAMi9H+DYAmNbEZj0O+hfUWOvAMChD0HNTJQ2WaBBFKAmLwGOGUG9BgEWJuWUGmwOIMHAgCmaEOGX3wA9DWAmNhlBQTlqxHVTn2ncDKATQuzAFaGLQizIRawNwAKAOIBALAJ6wgPrQuwYFgJbTKEZmRQtG7VwLQJoiYKESmxmxd1ggkTBFaE02YDwhBA4E0FIBBGeGcGYGwEwDwlM1In0GYP4JOkEKRh0S4Jpl4HBz5
NMSPREJPW5HEOu3sTu2cRlHkJx1e06VmGLlxWZlYwgBu06W0O+2LHNHCSVVt0FPAwJiQ2yTJlQ1hysI9hsLMOtIsMgAxxFINEeyJyqX8LCKCk6UNGVElm1PYwZy/Gtltgd1O1fHSK1lEyyOhNhzyNk3iPy2KMK2ClCnCglnbAhmgMgHikqykBkDkEUAUAaLGMGPaMOK6LYB6L6IGLaKYFGJWMmOmOYFmI4AWJWOWOaMGHWNbBA3GGLjVA6F2LxFo
IQEOJeJOM4DOMQAuJKOuNIFuPuMeInOeOOPvk4HeK/k+NQgQB+KGyxDOUBJfwEBBLDXqHBMhJNx/zLX/zSARKRKxhRM6zQCCUeyYSxMzCViiibGiIJLGxokeEwOHWwKBLYg2CmFIimGylIg5mcBUz3DHHwB4FIl033H1Gkl5KO35LOjA04L2zFJwolNO2PWumsQkJuyvS/BkIezvU+iA3rDKzpiLCCQNGaRlACT/JCRik1EaXCSFlxWMItLjEdNR
1g3h2sJEqR2QydLyUcNQHdJ8OJ1plZh9MqkmGVi+w7F6ViI40KISPDI5xSMgDZ2lOExjMyIky5w9hk2WT520gUxiwkFVxczcw8y8x83CF10ICC1lwswDXCyYjyz9lTNKIzN2W+mtFzIgHzOqKLLqNLMaJWIrKYA6MMD3D3EQh8R4FiEZmYxtCqgmCPIBLAtPOxHPIcsvLBWvItlvNhJUkrRkPANfKDl7BaubXgKcNrEdFZmVB7U6n4TuXS1wKHWm
xPLm3QEDBEg6E0CgDED82wE0C1zGH0DGDYBgBPQWg21YLXQFIOwIoUp4M3XFJOyELO1EPRKuwvSDmouKFotQDkPlBhhVHCSdAln0K+xNI0OcB1AFntGmEbGtDtA4vwpRgyShySWfLdjtPSXiRkqtPEocMxy1GzBtDpibBYxhnTOUqqSbHUrQFZkln0PFhpzYz0pDOKDDKSIjPOqjPMoyINzjKYnmVsp5yyAvOawFwkVIjBDuFaDuAWzYH1xUnriC
r/BCrWTCqCjKK1CiptCqOMsdzq1QAa3quH3/zFo6rrS2XRM/K6rarCip3hgGr7VwB+BAvGrKsmogF5v5sFpEmFu2pYOOhIrBq3W4KIt2q2zwtSIuvMquvPUkNuukJelvSVLBmam0GCJLkmB1C8WLB+u1H+uikBttAWH/WEohvQGg0xgkvDAR2ktMNkqRplFdO4DUqI18PVQJqK2VlxWtGVhiNHDiM4242prX05wgDMqnH40k0TPsoMpTIDhlpDit
3DhFlNLzPtyVv+KdwuXAvBTd0f3JEe3FW9yrj91PWH133QEAAgxwAHaGF569d6IBD6sQR8z4X4xBMgmAp8H58BZ8NgLVETkSvwl8v4ORV8JFprZr5rvKlqVq1qNqtrbpAF/Ad9A996j7EFkFUEV60Bn9Dl39iNhRv94yua/84TArtaL42wRhcGvy0Bpgmx+x2lTbKE8JLayScCKSlNVN1NNMoBtNdN9NDNCBjNTNsLvaBDfaDrdsjqvbXazq/ayL
t6N8g6qLQ77tHr6LUAzRulXtzRBwFg7R+z01igAkJYiFBKHRSsX1RYs74aoNodobLDJL7Si7bDzD5LMdOhc5dV+xOlEVwZlGYrPSSMhYBY7QdRRZ7Qp7sR6NL0HQYZYUYpm6/JW6h7Qymdaa/b6aPxLKDceBrLci2b8iOa27fJpbhRZbwpoqUDYqZ6qsu7jzraHVbkKUnlqUplaV2aGUmUWU2UOUuUeU+UBUhURUtZxVsBIVTRIZcUnRwlDREUop
8qS4VUMVyR6wYotVQpdVGZX1NQEhUmyUqmqU4m8yTUzULUZAThrVbVNneDHUfV1I/UjmyVTnXUQh/Uwsg0Q1MnpxGIE0wAo1XnY0wUXn7Hsxi5OhukZhex/1cyihnAWMiEnRwYgMol/Gi0byMHf9Ms4Smqw6OsKpL0yaMSICiG2qu0J7oWKGaIsKSSsCF7yrBdvgIR6AxhXgIR5J8BML9AQRMBiADJngVM7kMxnbTr9reDDFhSd13buW+Hu7hDzs
KK5SpCFTw6vxXF8wVQ2wOZYVRncVPqfq9GBYQN1QO01QS4CGODwbjHc6YcYaLG4bINrG5LkaRS3qBZw5lQQMNR21i5cbV5lQ0bHXMaol2gtRa6QiS5CV2gIn6dkyYnEjO6TKRWJlozZw5dmacipNPYMm5NHLosLMtanLBdSJ7IEApothSpcsTdsmR7cmIq5aFYFacEjlZ6at576shp1asHRb2tcHHoAn9b+tcmtDDRi4MXHlBrNg1tiXQLSWbas2
zgc283uHhGeXN1+XdohG2DhWLopTyLZSbrbtr0UW6KI6v1OlXCIZw49GZh2Z2rOL5QYoXCCxNR/001lQAnN0TCjWzG5xYaEMrGxL7Cy70MIYXXyRCmycutGook1QgyKaQ2qbYnq34niAhM+6bLpN2bKbIAzdR7Lcw4bdFaSmI2ymR3XcM4EHeA16K5N7/cCpT7AAQ3sAA1OwASh7ABUnuPqXgo5o/o4DydSvo2BvuOB9HAOn0fnY4kBfuIDfuKA/
pX0+QpapZpbpYZaZZZbZY5axE3wgfwAbw2Co7o6xFwDv3gY91QCQcrZQeruqWLgbcRfcjuZfLRd4BFEIYNvGG6SFnbD1dG37dwD8tGtJImtwIcyczco108p1wC18qncXa0XdrndFP1aMR4dwrC9EZXfEcu0kflM3Zkaeq/QWGzEmCcbpkRQVmZh+uChcIlhNOtFChY2LGc7NNiSLqffzrSTfezuLsRs/fRz2yViy8fVI3/RUfRI8dyZ+iCUNH0Kb
CdBaiq4ECCcUvmG1DxKDaia40Mppqg9MrSIZqSexNSYTbsoKMW+HpKJltLfyZtEKbipW9itKtw+uUdXWeeVqZjbpUyAacnWaZnTafnUXS6ZjZ6b6cepCVK56+Vg5iVnBkmbVSDiIRbCil2QWBhn9dWdWFu5qYsoe/qYkSgpguYDgrGAQqQpQrQv1AwqJe6YlShTzjqRFm2V1WHNfTB/JFzhtCFlTVane1xVSfwG2eeMtX2YeaOZxBOZdXOfO8ucF
5udC08nudtWTfqBebeZjVnDjTABeZY0vc1e6+Zlxwy2CkG9CjvdG90KA1hbqvhbvLhMIACweNRZ1owwxfbdbS+x1HCiVYJf4WeGoa87oYkHoDwiQg6EeGUA5q5ZwskH5A0ECA3SFPQ3RJOuIpEdW/9tXa/GuuDo3Zoq3dkZ3fkfwd+lmAdA5lbHNB9bPc+lChGGjvCgEtCh1aAyMcg19ECNFHq8Lqa4tdLra4UvmEG6A2757+79/acMHBCX/am9f
U1Pm/0r29DaMqw/GQSaOe28Q/A+Q5yd1p2TLeisw7g4u9rdVvJMFI2V+4gEQEpWeW2uW/QGPcRWwAmFwENJGFwCmGwEaWwEmGalrA6FwFwE0B8ZGGwF/6mGIBVQN0lVJ5rOCvJQkWapaBqkVGbaWdre4SD8piQNr9g7Wf0XtoSX4T9B3e5TT3ugCJC0EEgQgH4M8GdJioV0sfGdpH0EZRchWcXePmIxlJJ9kukrVLoqRlZgx5WjMDYq1DbBVQeCA
SdoHuwhjfQi4joEUJHCi6PsnQIUbANsBSQF0pKLfD9jaXb4o1EgxpGKErHVAcwHQ/fG3qqApyA0xg4wG0LT2ljm4woWqAwuPyQ48Yw2yRWfjB1EJb8F+SbJfhABQ65Mx66HSepv3Xx5lLudbWhlTXTju4BsdYIDMzFz4UZooMVdelAB9zVxEu0AU+q0AY6qcJAaQ1jk/QkAT5SBd8B+jkKJhvxF86cT+j/AcFgMt8kDRvFkNvxwMH8unfTnbg5Af
4VKxnEhCb2gFxhYBNUWApVDbZICO2fME9rqkiIu9Ngi4bAVdwgoSAPgYIFTESCJBIhMAQoIPjFzdrVcBGntGgRQKXaitLq4rddndUcTp90uvARRtmSKoKwDU/VYvvI0EG5wOYlOcOJTgtC190YgNWQU30UHGNW+rXYoOXTQC5gmKrYTQQ6AVhMweC/XNoGFAME5gjBJg3sDFQA58xAMgGHSl+GDLuCO6lQumk4PMouCB6u3IosWy2TeDrcvgytpV
i344cghi9MVKEII6KgIhPXaIZLFiFe4EhJHZIWLQkByC68jHKBhAAFE70SoRQ2KlfHyFMBeOj9fjsUIXwyhROX9cNgAmqEqdT6oo+6tp0aFP5SAWCZBm0KqREITOXQjWnCXTZ9DUSu0fElaLoTYtQoLUMJMYImG4BTwQ7K2jMMUwSAGCpAaSHACJDKB6AIXPasK1naEVdhGwuPpGwYFiEmBlFFLmnzS5yNnAIIosPMEHAwwohIsCbjqXlC5g4gF7
LUPMHaBhJQaWwiHLV2kGtBvh8ghrg6RLoAiXS6GEETDDBEqFtBUIvQRmXhFfYQoxgh1mYP2hTciwJpLSoqBsE4jIOM/SMgSN7r+C0mCHNwVk325plcwaHSkRIJaE0iFxdI3fsEKXr4ddOLI17GyK0IcjBwXIxIVvUYGURT680QURkPQAPixRbHZ+OPilH30Z88o1+IqPfplCxOeIjfOA2AQajhRL47UQ0LQR6iDRBnI0V/lNGQDMGZnGAWAhbbqp
BhWLZARDHTGzB0BgFfhEiGmH0iyWEiR4HuFIBjA8IcAbAIIitjkCoxlAvlhGMFZ7C6BMYhLreKS4JiWBSYtge9HJCMVdGvFEJtFC3GaN8xRYbMA7wtD5hewysFEToikFfCtRL7U1o1z+HKDSBQIzQuoPbFaDIRugquu0J7EfY+x4gwcSiJHHKxwYxcdsOiWxErip+5/Lfj3Xn7EjHmk/KWmSKKwUiJ64k6elWxnE1sVas2PDmEOFAvZIh7Yc8bWE
vF4drxpHV8RsDokCYT6wo1KXePFE/i8hX4vju+LjAlClRAElUUBMuwgTt8YExvJlMcQ6joJGCfUeVTfzwS0GiEvKKb0aoTkq0wnBoP0NhGICsJwwwjlEnDg9dCmfbM2h8GJ6wQxqNDBkSrluRsAJghAESMeDYC4AOgIIFTEYDuQUBV8uqIkCGJ9rsTwx1A1iYxP2EJ9khyfKRlK1kIpie2ZfFAY+iNJdo5WSdYJA6GVhRV/CFbd2lIKho/DLGSgx
sSoMBHfti4WXBvg32hGoMnCmoaOtDJhm11QmESfFrpRboT8tYzwY8NgH2BsBpISIEEHME0D9B6ApAfYMoGkgGRlApEESBpAthLdVRs4oTIzTKBxtWaS4pMk5O8kHcS2OyIHDMDVB+DSmgQ/cTlDNGNtUJ0o60bwAfS2chpRYHQvMGJqujjIxE8WaRI2B4Q9wINegDAHdH0Sdq07MMVQJ2HnSTZ7E5dmKzXYp8ThmwM4Q9OLBSpewToOOkxgxYBJB
wZfaKLqglhBIhZ0fJSVWMBl1jm+mk0GdpJbHfRo6oTQ9sbSMlfgYRqALxmJJhhpy4UQlcwXpABb9h8qGLRyaAK/A4y8ZBMomSTLJkUyqZNMumQzLADt1pxrktbvOK7quDuZ0TXmWuL8kYdqRRzPcWFNDJMjdO/6aOi1G6RjyTucQ4jr7iSlZTG8MeePKgEAA7C4ABbRwABkNgAFy7AAOIOoBAAug1TxUAgAVAnAALquAARydQAH1AAIDWABYwcAA
LozvLLyAARUcvnV50hp9BecvPXnby95B8k+efKvl3yH5/eZ+a/OyE5TPxPHQoT+PnzvwSpFQo5kp1AlPiIAH81eZvJ3n7yj5Z8i+TfPvmbxS8IC7QJpzqkEdmhr+XBHDI6Gmc5cKQtCXAIvh/oFZ9vOWnhm6SuiRqM0zzjgNmHoByZzwTQHcAQBgg/ioZBiZbIj7MSzpFY2gWYiulcSIAN0xMfdUdmZ9QWaaVUOzGajWh05nST2fekfSnj+w0UJV
M1AYSSCqxKkoGWa0tJ2EwZzYhSu2DiAag4YdoeYHoPzAoycU1uW0bTkxnS9igJc/GYTOJmkzyZlM6mbTPpnhYG59go5m5PO5tzB6Xk5fj5ItyhxNxATM7sFNfxiyB5IQ5erp0ZhXieR8ivkegEAAznYAF9R1ADHgPmwxS8gAGTrAAA5OoBAADQOV5AABzWoBAAADWHzh4G8nuFfMAA844AB0O1AIAA011pf0pHiAALjtHi8AEgV81AJgCDiAARRs
Xk3tAAPuPLKQ6qy1ABMVQCahmkQ2K+W/OFFVKal0eOpaKEaUtL2lXS3pf0sGWXzRlEyqZRvNmXzLJYSylZa0HWViZuk2y35aKD2UHKjl1AE5ZfIvonxwFk+SBd+IKkKjYFn8QCQgoqk1CNgFy2pSHVuVtLOlPSvpQMo4DDKxlky6ZcPDmULKflayjZYCp2WwxQVhy8OBCtFCnLYG9+eqYg0amGjKFJozoUhIRY0LLRMBWWZLFzF28GoX0XxsN1dG
HSPRc0rWRICwgwA7kx4OAJoD3CaAjpvDE6WbJFLHU+CbE2RbGMDo8SQ6d07duwNNDFxZgQ/PsYrAVQjMfquKDVMFC4Q2goiYcD4VDksVhzfh5rLSbYxFJakBY+aB9HqFcWFNk5QSf6t0gigKFHOSsWuoOFbDAZcxhchNBAECVlyQllc8JTXKiWS04QjchcfEuyXwdE27c5JR4JX6+SNx/kzJcU1pG5K9+h4iKbtDrDA9Ni+hWsJfynkb0Z5vIijq
8rJUfLwVkK+lVfMXlVRyO+yxSnwCUpDZyOZyxvORxHXvKmVxy1lZfMnWXzp1YwWdQcsfTUBF1ooZdWAsRWSi4VKJWURKJgWlCUVpUtFeqOQVrrSVG68ddut3X7rD186k9VVBZUHriFUE0hdyrgm8r0GAqjqeL2oToSxM4qoYa2lL7thqMQ4ACq5yQgay8l3o9AJxG4i8R+IgkYSGJEkgyQ5ICkdYeIvBwRcDVh2C6VbIOEB0jhds6RvxMgCuJFQh
oesC9UBacIxmP1cYE8PChjjSs/6GvuYqa7+hfVtpdSQ2Ja52KIAOkyFgLA7QIo4UrYKJHoOtACxNSD6b6CIOdbZyK67QN6s1HTVgceZxa2JedzLVszyQW3DybYM8Gr9wohoWFNIJFnYcW1B445pU0eQbN7uX4R7h8gkTfI3gnwb4H8ABBAhQQkIaEBREZG9MpwzgKVIOEAxDYNSyoeYFPTYxTNYR0dASkzD0Iqs/SCPclP5ru7lrYqnPc1Nz2IAH
MUw53fnrciuZC8qtIvX1GL2ywS8ZQwaKXpzSV4KY5eHzZ5gpkCR/UiwbYwZsYqxoZZnA2m/ON0jkkGb+VxvNbe1O6FtY6FdoqziXD1qIaGoMweZiNNzETTKEIkLDa2ucroA9wPARlEiDgDPBVJZA42aFwkWHVzZ0io1ZKRtnxiJW5q1gdKwEnWqS4GqRnmM2BqEo9FpodmCqGPZ/NcMnQLMd6pzrVjaxMmhQcDIjnyao5DixUEoQjXAxuxhm4ceE
SAxdolQ3hDGZEyxkxts1wSiuWEurmRK65MS6fk3KjaEiFxiSkkUWz5nkj61Pc7cX3O80Mj4h7awjsUsHWlLT6gACFn31ReEeB8pBh2TANs635eR33Wy651BDVitQDqSAbZd3S1AIABwWwfBwAuVTwr5iuwABPN66sPPiumXa6DlgABbHp4leQAD7tDywlT3EAANY4ABrO+ZWgp3kh5AAO5NjLddEzA3UNhd2K7AA2D2LzAAwTUHyzd1+KeDbsXmA
APkcAAYQ6gHKWoBAAEeMdLqAqAQAA8jgABjrUAgAa6H8VgAAAnAAqbNTw15qANeYAERJ2+WXtHiJ7F5gACVHU9PcQACzdgABwnAALjWoAd4Du7QD0vKWAAI9dQCAAKIfz2AAbIZXmAAR5pwUAAKG3QAEpF5keD3U0q6WAAx0ZXmnzQFj4uXQrqV2KVqAqupdfSs12oAqozusTNQD13R7RQRu03ebst3W7UAdu99Q7q6VO651buqeJ7u91PKOAAeo
PevJD3h7X97+p6DHvj1J6U95u9PVntz356i9JeivdXrr2N7m9bejvaXq7297+9HAYfWPon3V5p9c+xfagBX3r6r5W+3fTUoP3H7T95+18RKNynwr8pY+QqX+JE5wLv6z65Tsgvl1vLFd0ylXeUnv0a6tdOut/VHuQOf7jdlB3/ZfNt327HdHyl/WAYgMEqoDMBz+WvPgMR7VDBDD/WMFj2oAE9qAZPd/rT0Z7UAOevPYXuL1l7K9NerpQ3qb0t72
9ne7vagD73m7qD4+oeJPvoML7l9a+zfTvr32cHUAJ+s/UQvZU6cYJTUihUZz5XUK02vQkVa1UdC28DtwoUfqKC+yujcAl2nzYLiJCPBjwkgVoEYHv7arYu727YfqoXahiGNciuMRIzNWp9lFyY1RcXAMVcCRYCscKLMDtA/VeqPzYwVoWChy172wcyTWjue1w5Md1i0SpHKDVoky+aoWyV2hJ2E5KF+NIzW0CCSrHwkXaScVVQCW4ygl5c0JVXIi
W1zolTMsqZGzn4JLHN7g5zXWvSUNrPNytD3vkqPHYl+13I6XYMaUin1AAH7XNwd5beReUsoOU27p4Xu1AIAF2BwAIA1w8LpY/MAAvdYABKhwACQdXSpZYAABa/3Z3En0rqNgKJtE4fhwVzrsTU8XE4SeJOoAyTVJmkzuvpOMmeDc8vgxApvVQLL1964qY+vgXndEFlU5BaycuUJ4OTWJnE10t5MkmKT1JjkyKdQBMnMjuohqbBJaGGcTJkGjbeaM
6mVBmq9C+tOWN6mDTW0txjUBnVdFar5VkJnDQoqJASRFw74SQB8CRB3AoAIkVoMQCEAGRXgQgD4K0BBAdHNh/DD2j0cjFUbSKnEhEwouYEA6+JQO9jfKF4GQxZg36CNe2gCl5inCcQPOZTglhqgjS/7DY4ay2NWKNJAag41ayOPSSlYuc/wt1iTmUKnG8QN7JMFfSAxj11xp/SYozqFMM1bOlyaWubk0oY2sZBzekyrX84Y2guQyMZFMjmRLI1kW
yPZEcjOQ6hqbf/IFQLaMzVx4VNfsDhtA8EslzanfmrUlkoSeh224o1ZxFCIomFDUHMSe3xyujsAdR+aRIh4AMEOg9AKaNymTPRjTpn21MzIp+2HDbZt0wHfdPGOOLXCTMa9kXG0UaFxBOfc0FEmVDKxVCGLB9hYpkHbHX2cm2xbjsxwU7XCrMEC8ZKqQSxSc1k69nJLLjU7g2lmuwezuXOc6W5EbHnZ5NJH86QT49COKdybW7jRd5VcXQR3VBS6k
hMu4UR/KDyABS8f6U7zAACBOAAKGZqWAAYtdQCAAbWqDwu7RlfcVAAScAAJ48bsAAxg9fJN2oBAAzzX3ye4zl43YAEPOxeZssV3Z7AAkavDxAAMTUuGe4e9TuLHg+U9xAAyDWAAchtQCAADUfL3zLAAnF3eGnL3hwAB9DeVjpT3BXmAAGzqnjzK96gACAmS9gAdjHAAoeOjxaOJe7K81ZL3l7AAHz095E9iuwAAw9gAFrHzdsuwAI8tgATVW8Ti8
wAAB1TlzuIAF9xovLnsADh49Fb6u+7vDgAc2bAAEoMKBAAIX1bWRrqAIfYAAg6wACrNm8FeZSYGu9XUAg183a3omsl6Ol41ya0/tWWABN5p72oAQ8gAAN7j5O8wANET8eIPNnkV3lLY8K8reT3CBuAAAZrGuK7AAEDXLXV9gAXQ7UAgAAEnAAIn2T6e4cNvE1PEAAYLRvJL1TxAAOBOoAV5gAD07RlaJ8yx3rXndKd5IV1AIAANV3PQXtRs9xAAF
7OABR0axuinr8gAQcm9LueReTbsV2AAYnu8OAAGmsAA8a7IbyuABdocV2AAShd92AAHLpL0/Wk8gADabFdSeQAAdDYp0yulPnnR5F5+lwy6gFMsWXrLtl+y45ZcuoB3Lnlny1DY4D+XUAQV1AMzfCtRWYrHAOK6gASubxUrGVrK6gFysl78rJeoq9HZKscByrlV1ADVfqtNWWrkd9q6gC6s9X+rQ16/KNYmvTXZrqABa8tdWvrWS921vawdaOtnW
LrV1m63devwPW8TT1l69Oo+tfXfr/11AEDZBtg2Ib7t2G/DdQBI3UAS11Gxjexvm68bhN4m9PHJtU2abFl+m4zZ9uK62bhezmxwF5v82jT5u4W6Lf/2S2Zb8tkeErdVsa2tbut/W0bYyNkdspl6/g1KYRVCGkVD65fE+sVPoqqpGwXSwZe/k23I8llmy3ZZGUOXPbLt7y75Y9tO3vbvtiK9FcoNB2Q7yVtK5lZyvFXY7xV0qxVaqu1XUAjVrO21Y
zs5388Td/Oz3ELuvWZr81xaxPYrubWdr+1w6ydfOulXG7ed+649dQDPWi7b1z699b+uA3gboNvPUPehvx44biN5G2jaxs42OAc9omyTaXvU2RltNte0zc3vs2d7e9zGwLZ7hH2xbp9kvXLYVvR3lbqANW5rdQDa29bqAQ28bc2AkKmhYGi0y1LaDWmYStpmDYGkdOwiyjrp7EjMEBi4tXR7E3qCSxIk209zJkMyBZCsg2Q7IDkJyC5Eo1vbqNLEr
7fRuNXZnTV/2kY6cLGNWqHheJVUKDgHHa9LBhXeYK4QtC5g8u2Zf6CjpMbSaTWuxjszYpsbdmCkFoNGlX1HFldQenFkjPjrz6TB+y0gv0rXUm2M9kUDkizR3Ks2iWu6tmjbvZuyKczK1SSmS2uNLbA4IYuYl88pbfNXbmt9yCrcj1eRo97gTwcLX8ii2ApYtIKBLT92S2QxtQGm3ir2HVDLHgWEAVVMKDiCth8woL+ZgJTK1I9VzQW25xIDYABmg
zbZUM+GcjPRnYz8ZxM289J79N6wiKdsC6tH76FbQOWwF3lqDh1g8UswepP+gbCG8tnCcGrbsytS88mtNyJ1KL3dQXNvUnL25j1q/B9bduo2jNMNoV6fMxtuFkDIM8fTDPgWYAR0GXwmcIx8MSKYlArwgE2mpZFaLqQ6Z23wDtSEqrFCFApxahxpGAzYM+xuCzTfT12qQBQCmiSQEA+wLCHACmBIgUtcxXWWMCwh4Q0gCFpiR9vTMWzMnWZ37UMcK
f2yHq5whUN2xz7THjXSrJNfcLNDgxXsX2MYcYKhbMqJNrZ9p+Y06eMWenX7BSs+m8b+kwmufNhaM+4CYYlYmoZ2S43cRWTzczjfMEVUePLORLS5tZyucC1auxMG5rmbs7537O1+0PJxuCbnqhT62H5oVUUZdMlGgn9o5Aa+mpeprXRZwcC4qvQD7BMARgYsHcmYb+vTZki5C7y0OjfbQ36Fv7ccNY2Fmnsn0fZCEi0VDZ8w4amKloxFi/QvpsdaQ
fmFzE0XNjebtSQW/fZdni3mOc0NmEjV6CrjpOoKPce1DOEC5Sz6tbiLiW9uqtUlpzbWrSXyX20k7kKTa7UuFLYTiUodcKNaCAAInuZOZCaPF69+1eplm3roFRU/8fKfEM/2X1qQ+j/UI5WgbzT5C1oRBrak+P+33dHVyizg1mK9XcBRWT2u1BvpTt5r6IFu5trPAb++oL4OKjHCHvGUSERcMQHoCskwQcoDJ30a6NpmBWOTzM+dRNXMbMLBZ7C6U
4VCIpCxioTpIxghbnHIAASOp+MGigvChm+F1p1JrovtnC3lrCD9a30JluxYpfQ9lGsoW1vBw2WkDEdrpjNu9IjMet3+gnGCWFui55mfiNZkbO3yg7nZ0K5TZrnNa87nhRABBC8giQdwdaUIHFpFqa1qS2WoOGtBTnhd53fuTO6g2bbaFMs1qpXVk/YstU4aoWHqFdGcsPO0TzWTbUa8BiWvWnY97qtPdBubPIbuz/k4c9KLinbGh9w8PzA/p5UTY
Q0IrGeFqtLQXApWIaFkmTbQvbZv1Vjs7M47DjhNFUHaAWAKw5jjrB49W7fLD9wihoW0FFQ7doeS1Pb8S+5M3PDu7zqHUEwpcI85KznPmkjzCc0s3iczZSkUbx7SlCjG8PAIn+KZ/Gcc76AhuUZesE49SIAyohU+gA0+4AtPrwHT3p9wAGejPJnsz1UMkOajyftUkDW48E+BTLTxo7x1AN8fav7TUngJ7wANflGCkH2JmKl9dGEA1P3nDYNJDmI+A
VMUwIwDAEdocApodoaSLgFIhIRXguAC7eZ+OmWeaNvRx32haY0YWjvDskp8Dvkbahc4CrHUMYNWOZuBNisUNVbk0XdItU2pQD7m/C/ve9jCNJi996DhZhWwgLIJBObTTOmpAyXjVBaDGlMwoo4SWsLM/cTRRmwizvxVOOs1Vb1nNXpmhV526eTtzsvrbc6Xq/0B8ApED4FMFeAGQqGN5+uSO/vMlZOgRW7Uic9FmY+JZw3tv6N6t4XwnQAF3Jt0n
epMxlPBEzYHuG1+4CGA3f3v/36oYO+dVTv7Jyhcvf7ew33EiN3e+c8+/UxjFHr24VknYZcxXFXsD8xYy6NTBmIiscpPj8MdesTA8vvXp1QA3WJmEMIhudix89c/Izjg86MFt3eotQCWHnNUPIr1+My1IkUR9edZHy8FBdAj17kBvFSy5EJdDSwSkSlfH3vFhfbulNsNgEYBoDL6S9Sp9uOV+0EMX4en0tcmfTj3QA9fA3yN8TfTgHN8RgS32t9bf
e3wF8kFagOA1+PMXxyNhPPI2l9kJGhXN5ogS1yYRyQOb3oVsWEaVfQg/V0USgfTbhT9M4ALCGkgxwKKHHBmADoCEBjwJEFaBGWUgGeA8IDgAhBNvM/ykUL/XJzd9E+cN1vcLVDPhc93+esEVhstP6CNp1CZN3ZhCxaYBCJu2PqkUlzSEGVACgA8OU+9k/MAK1RVSPMEC8vsEUAxZk5EESFgbQPCSBxHGaPim5rQWY3bQq/GnVsF0PGzUw9sAod1w
DQqLryO55aGKin8vNGf3Kp+eKAEP5j+apnWxz+MVEDA2xQ0G/5sADoDOAgCCYDEANQL/n5BjMMYFwAEAJWDhxNALcAmBx2YAQIBQSRiHAE4WOf3E9VAy3jg12gZX2Cd60Mrk1ItUV0RlxFvYdhicdfL3iWFmAbnx4A7gDoxD5sAMPktckLa1hd9T/HwOuk8zIpy98TvPhF/JVQTzzxZWYOVn4FizVNXrBAyI2n/devUL2hkIvEAIyDovbgHzAPSS
hTbBazX1i7QXRArwn4MAjD3h8ATHAOksR/Q7gfMH0QsHR8AhXoPWgD+KcCP4yUDZjP5PkIJAER3UYwTphiAe/imBcAG/g6AEAPTDOAtUEYDOBRQK+E0AeAQMEfQP+VoFqNOwEATBIaqDVzE9PzdADOD1AvqQpdMJZd0VlwYcWCzF7g9DTNoeSIwK9FbXVoAok5ABAEeBMAEYA+AhAOYh4BsAFTCmh8QCEBGBkQdwKydPA890JBULK93d8b3FjQCD
zhGEOagYoO1n7JwYLQN+xPoBWA8RzQTSlahwnHN3SCi3Dp2ADkgvENUFrWcYCJCjOZmHvYRxTvg+w4eaH2pDGg2kKw9ATYS2BN0yB83VIQoNkO35p3HzX6DBg3kNP4jZUYPHYxgUMGLBNAGYGIAvsM4GIAyLL/k0BNAF/g6BiAbABsl1QfQi2DaJWaj2CGQXUMOCNXcAF9hNgOADgAUQEohhdoAcsHSANgLcFIBDA/IAYA6yO5AYtauM4G/CfwnY
EZ8RAVHDHBjgfQBRAkguPxrEtRf8Loh6UYCI/DZNXEOLDIAXpmginuYCLwgxFPbyQiAImCLSBQIwN2s8oIwCOAi8IqMMv8sIlCI+RgIiEEY1fAwiJwj9ARcHBC7qOiNQi0gPCGnktLQYxYjKItiKHkcfV8OQiiItIAbwJTa9RE5sI1iJAj2XVrS61slbiKAi0gMEB5dOtLl261YNV8LZI8QREEw1gRErniAhsZqCL83pboAqotI/ABUxRgKowqd9
kY7VMETIowDYADAGFwaACALBFkIBYH/HkiqIzDz+M4uQF0ARiACXT7p/IkgERxyEO5E9AJEX0B+AJgGKJii8IY/xlAoQZQEfBaIP0DBB9gDKIyiEo82DyhuIkiIQBGIzchJg4mI/kCAzAYQGYBpIAKKCj18LtyhAOoQBEq1yEDIC/5ggPSDIUkIogHB5OoiAG3wHwrlXF8FFJBDfwzTRrHhYFFDVS6lmAJEG3xTAvciUi2ok8nAAtIF7XCAXkCWj
/AgAA===
```
%%

View File

@@ -0,0 +1,229 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# 플래너를 써야 하는이유
# Excalidraw Data
## Text Elements
플래너를
써야 하는
이유
^HNDAq2s3
성공한
사람들은
모두
계획적인 삶을
살았다.
^DZLZ5i5H
예시 ^VEJ1JDZo
분류방법 ^VAfeqa2t
사람은 태어나면서 끝이 정해진 시간속에서
살아간다. ^Fj936vyQ
1 ^WmR4uCLt
2 ^UEYWWSxy
3 ^EdrGpWgv
4 ^Ajr0Fpc4
만약 사람이 100살까지 산다고 가정하면
시간으로 환산하면 하루는 24시간 x 1년은 365일 x 100년 = 876,000시간 ^vrLbJeE0
분으로 환산하면 876,000시간 x 1시간은 60분 = 52,560,000분 ^MyBQpbjb
초로 환산을 하면 5,256,000분 x 1분은 60초 = 3,153,600,000초가 된다.
만약 이시간을 돈으로 환산한다고 하면 초 = 원 이다라고 가정하면
우리는 태어나서 공짜로 3,153,600,000원을 받은 것이 된다.
이돈은 쓸수 만 있고, 쓰기 싫다고 저축이나 나중에 쓰는것은 안된다.
무조건 써야 한다. 가만히 숨만 쉬어도 시간(돈)은 사라지고 없어진다. ^j2QaSpL2
그래서 사람들은 시간 = 돈 이라고 생각하고 아껴스려고 시간 관리를 한다. ^WAQh1z3a
사람은 성장하면서 점차 사회 구성원으로써 각자가 소속된 곳에서
각자가 맡은 일을 수행하게 된다.
예를 들면
갓난 애기는 먹고, 자고, 싸고, 자고
어린이는 예절, 옷입는법, 먹는법, 기본적인 것을 배운다.
초등학생은 글자를 읽을수 잇게 배우고, 덧셈/뺄셈등 조금더
어려운것을 배운다.
중학생, 고등학생은 6년동안 공부해서 좋은성적을 만들어서
좋은대학을 갈수 잇도록 준비한다.
대학생이되면, 이제 어른으로서 사회에 나가서 일을 할수 있도록
취업준비를 한다.
직장인은 돈을 벌고, 결혼을 하고, 자식을 키우며, 부모님을 모신다. ^2Ed8vq6d
1번 ^Dxz54BtE
2번 ^TopWJoau
3번 ^vlVU7PHF
## Embedded Files
fe141264b9c8fbe9ce88abac3b0ae96bacbda9fe: [[Pasted Image 20240526160736_543.jpg]]
fe0ba54b73d79fd439abbbc08dc6932874bdc48b: [[Pasted Image 20240526161251_538.png]]
73357c9a5443a7c721c0998448aab9383c3c7d60: https://cms.boardmix.com/images/kr/articles/2023/skills/time-management08.png
31a4ad0382d3a7a9a8e6bf493f00efb2e1528a1a: https://1.bp.blogspot.com/-CnyA4XCfhmw/Ww_-cNBECWI/AAAAAAAAGmA/B2BKOYSAeAobw5owgvhO_-Kr9AQd4Y1OACLcBGAs/w1200-h630-p-k-no-nu/%25ED%259A%25A8%25EC%259C%25A8%25EC%25A0%2581%25EC%259D%25B8%2B%25EC%258B%259C%25EA%25B0%2584%25EA%25B4%2580%25EB%25A6%25AC.png
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebTiAFho6IIR9BA4oZm4AbXAwUDAi6HhxdEDsKI5lYOSiyEYWdi40AEZWgA5+YsbWTgA5TjFuAGYABgBOAHYRqYBWCe7IQg5i
LG4IXB464sJmABFUqARibgAzAjCliBINgCl+gEEAGQAFBIBVV+wAYWV+oTMHgcAAqAFEAEoIMY7SBnQj4fAAZVgtQkgg8sIgzCgpDYAGsEAB1Ejqbh8fICXEEhAomBo9AY27XPF+SQccLZNrXNhwXDYNQwbitMZja7WGplMWUiCYbjOVojBJTbQTHgdDpTKYdWYdOYANgS1yFaGcCRGcQtEzmOomSv1PFaixlOLxhJ+bHwbFIGwAxK0EAGA1jNPz
8cpWasPV6fRJcdZmHzApksRRSZJhTbtGMpo65jn8605uaujLJAhCMppOSEgltMrOiMDRaeDx9bNrmETsKOsq5iL9ZrrhHhHAAJLELmoPL1SCaCg/ADyFCRbB4pCexFwrzu9AAVviifiAIoQSkAXWuZ3I6Qn3A4QkRLOEqw5zCnhXqJUQo0pAF9rk0F9iDBYJ0kyKcZ3qT8v1uOMjEkSQAA02GID5F0eNgAFlFwmAAxYhnHxVofgANVhYpYB/CRcF
IPEqEpMAAMYmDdlOCQfjgDo7iMegfkeMZ9j3RcAC0RMIABpM4AHF+n6V4KMgKiyk2Oi2AY2dmNnVjlnY9B8AACQ+UjlDOIw4CgfAISEIk2EeM4pgoM5iMU78VNo+iz00i9riEOAt2OPTWimVp9SmHNFVaBJ9Vaa4iA4fF70ffA4rYbBCT0i58DCfItIKGVlI2Y5MCgLFemaYV9WlL9yoGIYyk6RUJj1JtnVg1Z1hokYsT2Q5gkC85LgQa44PQAz+
n2R4AEceGYbqrwRZFURUplTk7alCRJYgyTQCkv1dGk6QZbFPWZGVWSrN8p1imVeX5QVhVFcVqgZarijlU1FTGDptD1NsDVzHNZjmY15RGDoxniO0EhFb7+zVPbigO91PW9P0g0DJBALDEchCjVHY3QeMOETWiMlK64022jM0A6OIRR4MZ9SqhJRRGCYmeuctK2rNpa20EUJnaHh2drMYEh4I0XQQbtdvGDoJgmfU2uKXHx0nXJGIgeclxXNcN0eL
cd33Q8Ty8opLxla9cFvPSHyfc7gKupKHa/IC8ZAsDycgy2vz8gLZdQYLJclumpgdJU4pWRK0HtlKZS9dLA6yq4rc4KAkUIIwGomeIouLHUnR4OZwemK907wm2ERNIPrmK0qJEAGFXAAz2wAIRsAH07UAAHQ4HvAAthwAfUdQQANVcAFKae571BABdxwACcZ7rFyAoEEsAb9AW477ve44QeR/Hrfp7nrg65Xx4iGUFp9IQM4KZlRooHMAhT8rC/oF
5LE9EyXAViYO9Y+SnlSCVhWAQZeJUNjr07hPbeQ8x5QIPvPcUQgoBsChKwbO3BcRCGGgnb+BkKxVlXq0eIcxcrdBgm5DYHl1JlSYH0C+Gpri1Q4IMDgwxdqTHmLqEWI0OofXQLgJII0DhHGTkNEaeloAIWQqhdCmEcL4UIsRMiWJ4SIiOitU6a0XQbWJOmck603S0mWhsVaC9hCXU5MKHkfIBSwEem9SAEpXrXD4QqTocRRStgZhDSWN0vw12cCM
YK2hAaTFaI6XsExooGJpNGNGEh/SY2DNjdKuN8YxiKuQEmSZyapj0WgFmISmwlhhsUg0XN8G8yDr9BmVVRSdFzKFfUnYZZBQNBzDoVV9QgxlGrCcPsrw3gQL/VAcdnwe2dmgViFDdr/kAsBUCaRva5F9sUf2uABptBCmFHMIUDR0yjglF28cvyJwyoNbK2D9pRFIFAAAQisRw1RuDTNSOBKAIyIAPBeO8L4vx/iAmBOCKEMIlhwjSoCeUkMmZjCi
mFSWcxtTMxmOUrWyhcBwG4CqPUCR+yDhzNFQW+o5kygyMQB5qwVjKBeVrN55NPnHlwI8Ay+B6AQlIIuNg+piCSBgGOUwzwiRjGpWCiAZwIVTkhk1KJbYYY6jCkEngUxRXosxbtOY8QEh2mCmMdUIoIZhRJac0IUAPT6H0GoQKrw2ArFXmM7RtEoCPDUhQcsuA7b/1JasZ19E3USKoVQa4cAbUQU1rOKC9QHFFDGIxVZRQI1FEKSikpipiyotnGAB
UNTdV1NhZqR0zNY0XlIfkchhUJAVCqJKGhTRODcGtIw2hzQWFsKDiLYsnQOhFh4WsPhmw5g9WEf1URlzxEbEZcy1l7LOXct5fy+ggrhUqMWuokxmisTI10dTfR2jDGrvROu8ZFj3xWNujYh6bQnoyicVKFx8o5hzA8cFXFCQdR6nzaDU0MNc64qCSMGK4SRjszGD065hi4mEwgIkjGIYcaRmIBBzJCYckpkpvkoOVVsxNi1IrR9sLpjKrLJU1eIs
iHhTpriumsLdV+KRq04UIpX2NR4CrSAfSNZoByHGsVQyRn2q/PByZqBpnltQCMI1xR3arEWe8yCLFGK6Q2HuXAABNNgUxjzbTBESOA+pNCECmqoEYmhnj4FcqJ1SnlGJ5SKDpG4Ei8LYDHD8ESzx9QwCRDDCEi48HMGcPoL+Y5zOlEoS682RQbP5QzfZoqUiUJoQwthXCBEiIkXImCpSIWaJhesz5GU6zNlB22eFLURZ86HJjqMz1py0rnLQCnBA
JbbMFSy0TFeNa6HCgbbfJtdVWENVLqKIGhH2q9sofqQdfUECFYa2OiQ+xXMiTmIQOYBll1qOMQezEMTNrocRlSPdm3GSHsdmyITtHIB3VsTXWGz1q1oAcbKe9SptBKmVGqGjUxFaln8WDLtAsI7MzCgsZmSqdsIEQwkjGySZShlSfByHRMsmk2TDfL8VMdpto1cqPURYHSgeKNzAhmZHtdiCozGYVVwkjdVqydWAyra8Y9a7YognLF/xZ3OBZXtQ
2cfk9F0aEBlNqY01pnTemDNGZM2ZjLMz+E5c0mCuzgvHPOdc+5zzrRvO+f84F4L1F5dWe8vUbjBXA7Bwlq+pVEcpanOjsc1KSdMpiLTpkTO6D2Hl0yJXC1+AbvHzARIQAjIOAFeawAOqub0ADUDgAY9sACctgABcZ7oACq7AAKLZvQAIzWAFi1wAgBOAA9x1AgA2gcACLjPdAAtA4ADVHAAnTdoBB51KCgNXhAUPEee4x4T8ntPPcs958LyXjgFf
q+16/PXJ+58NjBGvjW++7hR8v2QZi64H8ojf1IHx6rxRvRAI4CA9rwfw9R7j4njgqeM85/z8XsvVea9H2vUglB4Qs5lEwVc4o8UEB4J5oQ4hTWouUVaxgfQTQE4LcTQWoRtWtC+CWH7HoXrZheqLFAsNsYKAnZYXhShKYSbERZ3UdGUQXRcM4Y8fEOACgcSfUZ4LCZgY8fQH4fQCEJEMEYgDodbJaekDRbbXdGkLaTHfbbEHRfdY7dggTcxdkdnW
uM9e6OxS9R7G9bgR7VxCGfMX6cWJ0B0MJTpT9VAcOH6BWZqEuKYVmL7IWcHRHaAZHFDNHSTODYCEw4mFHXJNDbdNAB9fUbQGKEDPsIsfsHMCpT/bgXsaFIbTxBYRmb6Fpc3DtIDEKHUYcOnfpFZQZG2YZZnE5VnJ2UQkTVrcTeoGzbWbnJZXnacU3fyDZc3YrcWJAnDCrDYaQWQeQJQfQbQUAtgZQbQbfRoXQAwBQa1HEUiQgBACgVo3ARoAAfia
OUAnAAF4tw9hJAVgAB9MYgAMi9H+DYAmNbEZj0O+hfUWOvAMChD0HNTJQ2WaBBFKAmLwGOGUG9BgEWJuWUGmwOIMHAgCmaEOGX3wA9DWAmNhlBQTlqxHVTn2ncDKATQuzAFaGLQizIRawNwAKAOIBALAJ6wgPrQuwYFgJbTKEZmRQtG7VwLQJoiYKESmxmxd1ggkTBFaE02YDwhBA4E0FIBBGeGcGYGwEwDwlM1In0GYP4JOkEKRh0S4Jpl4HBz5
NMSPREJPW5HEOu3sTu2cRlHkJx1e06VmGLlxWZlYwgBu06W0O+2LHNHCSVVt0FPAwJiQ2yTJlQ1hysI9hsLMOtIsMgAxxFINEeyJyqX8LCKCk6UNGVElm1PYwZy/Gtltgd1O1fHSK1lEyyOhNhzyNk3iPy2KMK2ClCnCglnbAhmgMgHikqykBkDkEUAUAaLGMGPaMOK6LYB6L6IGLaKYFGJWMmOmOYFmI4AWJWOWOaMGHWNbBA3GGLjVA6F2LxFo
IQEOJeJOM4DOMQAuJKOuNIFuPuMeInOeOOPvk4HeK/k+NQgQB+KGyxDOUBJfwEBBLDXqHBMhJNx/zLX/zSARKRKxhRM6zQCCUeyYSxMzCViiibGiIJLGxokeEwOHWwKBLYg2CmFIimGylIg5mcBUz3DHHwB4FIl033H1Gkl5KO35LOjA04L2zFJwolNO2PWumsQkJuyvS/BkIezvU+iA3rDKzpiLCCQNGaRlACT/JCRik1EaXCSFlxWMItLjEdNR
1g3h2sJEqR2QydLyUcNQHdJ8OJ1plZh9MqkmGVi+w7F6ViI40KISPDI5xSMgDZ2lOExjMyIky5w9hk2WT520gUxiwkFVxczcw8y8x83CF10ICC1lwswDXCyYjyz9lTNKIzN2W+mtFzIgHzOqKLLqNLMaJWIrKYA6MMD3D3EQh8R4FiEZmYxtCqgmCPIBLAtPOxHPIcsvLBWvItlvNhJUkrRkPANfKDl7BaubXgKcNrEdFZmVB7U6n4TuXS1wKHWm
xPLm3QEDBEg6E0CgDED82wE0C1zGH0DGDYBgBPQWg21YLXQFIOwIoUp4M3XFJOyELO1EPRKuwvSDmouKFotQDkPlBhhVHCSdAln0K+xNI0OcB1AFntGmEbGtDtA4vwpRgyShySWfLdjtPSXiRkqtPEocMxy1GzBtDpibBYxhnTOUqqSbHUrQFZkln0PFhpzYz0pDOKDDKSIjPOqjPMoyINzjKYnmVsp5yyAvOawFwkVIjBDuFaDuAWzYH1xUnriC
r/BCrWTCqCjKK1CiptCqOMsdzq1QAa3quH3/zFo6rrS2XRM/K6rarCip3hgGr7VwB+BAvGrKsmogF5v5sFpEmFu2pYOOhIrBq3W4KIt2q2zwtSIuvMquvPUkNuukJelvSVLBmam0GCJLkmB1C8WLB+u1H+uikBttAWH/WEohvQGg0xgkvDAR2ktMNkqRplFdO4DUqI18PVQJqK2VlxWtGVhiNHDiM4242prX05wgDMqnH40k0TPsoMpTIDhlpDit
3DhFlNLzPtyVv+KdwuXAvBTd0f3JEe3FW9yrj91PWH133QEAAgxwAHaGF569d6IBD6sQR8z4X4xBMgmAp8H58BZ8NgLVETkSvwl8v4ORV8JFprZr5rvKlqVq1qNqtrbpAF/Ad9A996j7EFkFUEV60Bn9Dl39iNhRv94yua/84TArtaL42wRhcGvy0Bpgmx+x2lTbKE8JLayScCKSlNVN1NNMoBtNdN9NDNCBjNTNsLvaBDfaDrdsjqvbXazq/ayL
t6N8g6qLQ77tHr6LUAzRulXtzRBwFg7R+z01igAkJYiFBKHRSsX1RYs74aoNodobLDJL7Si7bDzD5LMdOhc5dV+xOlEVwZlGYrPSSMhYBY7QdRRZ7Qp7sR6NL0HQYZYUYpm6/JW6h7Qymdaa/b6aPxLKDceBrLci2b8iOa27fJpbhRZbwpoqUDYqZ6qsu7jzraHVbkKUnlqUplaV2aGUmUWU2UOUuUeU+UBUhURUtZxVsBIVTRIZcUnRwlDREUop
8qS4VUMVyR6wYotVQpdVGZX1NQEhUmyUqmqU4m8yTUzULUZAThrVbVNneDHUfV1I/UjmyVTnXUQh/Uwsg0Q1MnpxGIE0wAo1XnY0wUXn7Hsxi5OhukZhex/1cyihnAWMiEnRwYgMol/Gi0byMHf9Ms4Smqw6OsKpL0yaMSICiG2qu0J7oWKGaIsKSSsCF7yrBdvgIR6AxhXgIR5J8BML9AQRMBiADJngVM7kMxnbTr9reDDFhSd13buW+Hu7hDzs
KK5SpCFTw6vxXF8wVQ2wOZYVRncVPqfq9GBYQN1QO01QS4CGODwbjHc6YcYaLG4bINrG5LkaRS3qBZw5lQQMNR21i5cbV5lQ0bHXMaol2gtRa6QiS5CV2gIn6dkyYnEjO6TKRWJlozZw5dmacipNPYMm5NHLosLMtanLBdSJ7IEApothSpcsTdsmR7cmIq5aFYFacEjlZ6at576shp1asHRb2tcHHoAn9b+tcmtDDRi4MXHlBrNg1tiXQLSWbas2
zgc283uHhGeXN1+XdohG2DhWLopTyLZSbrbtr0UW6KI6v1OlXCIZw49GZh2Z2rOL5QYoXCCxNR/001lQAnN0TCjWzG5xYaEMrGxL7Cy70MIYXXyRCmycutGook1QgyKaQ2qbYnq34niAhM+6bLpN2bKbIAzdR7Lcw4bdFaSmI2ymR3XcM4EHeA16K5N7/cCpT7AAQ3sAA1OwASh7ABUnuPqXgo5o/o4DydSvo2BvuOB9HAOn0fnY4kBfuIDfuKA/
pX0+QpapZpbpYZaZZZbZY5axE3wgfwAbw2Co7o6xFwDv3gY91QCQcrZQeruqWLgbcRfcjuZfLRd4BFEIYNvGG6SFnbD1dG37dwD8tGtJImtwIcyczco108p1wC18qncXa0XdrndFP1aMR4dwrC9EZXfEcu0kflM3Zkaeq/QWGzEmCcbpkRQVmZh+uChcIlhNOtFChY2LGc7NNiSLqffzrSTfezuLsRs/fRz2yViy8fVI3/RUfRI8dyZ+iCUNH0Kb
CdBaiq4ECCcUvmG1DxKDaia40Mppqg9MrSIZqSexNSYTbsoKMW+HpKJltLfyZtEKbipW9itKtw+uUdXWeeVqZjbpUyAacnWaZnTafnUXS6ZjZ6b6cepCVK56+Vg5iVnBkmbVSDiIRbCil2QWBhn9dWdWFu5qYsoe/qYkSgpguYDgrGAQqQpQrQv1AwqJe6YlShTzjqRFm2V1WHNfTB/JFzhtCFlTVane1xVSfwG2eeMtX2YeaOZxBOZdXOfO8ucF
5udC08nudtWTfqBebeZjVnDjTABeZY0vc1e6+Zlxwy2CkG9CjvdG90KA1hbqvhbvLhMIACweNRZ1owwxfbdbS+x1HCiVYJf4WeGoa87oYkHoDwiQg6EeGUA5q5ZwskH5A0ECA3SFPQ3RJOuIpEdW/9tXa/GuuDo3Zoq3dkZ3fkfwd+lmAdA5lbHNB9bPc+lChGGjvCgEtCh1aAyMcg19ECNFHq8Lqa4tdLra4UvmEG6A2757+79/acMHBCX/am9f
U1Pm/0r29DaMqw/GQSaOe28Q/A+Q5yd1p2TLeisw7g4u9rdVvJMFI2V+4gEQEpWeW2uW/QGPcRWwAmFwENJGFwCmGwEaWwEmGalrA6FwFwE0B8ZGGwF/6mGIBVQN0lVJ5rOCvJQkWapaBqkVGbaWdre4SD8piQNr9g7Wf0XtoSX4T9B3e5TT3ugCJC0EEgQgH4M8GdJioV0sfGdpH0EZRchWcXePmIxlJJ9kukrVLoqRlZgx5WjMDYq1DbBVQeCA
SdoHuwhjfQi4joEUJHCi6PsnQIUbANsBSQF0pKLfD9jaXb4o1EgxpGKErHVAcwHQ/fG3qqApyA0xg4wG0LT2ljm4woWqAwuPyQ48Yw2yRWfjB1EJb8F+SbJfhABQ65Mx66HSepv3Xx5lLudbWhlTXTju4BsdYIDMzFz4UZooMVdelAB9zVxEu0AU+q0AY6qcJAaQ1jk/QkAT5SBd8B+jkKJhvxF86cT+j/AcFgMt8kDRvFkNvxwMH8unfTnbg5Af
4VKxnEhCb2gFxhYBNUWApVDbZICO2fME9rqkiIu9Ngi4bAVdwgoSAPgYIFTESCJBIhMAQoIPjFzdrVcBGntGgRQKXaitLq4rddndUcTp90uvARRtmSKoKwDU/VYvvI0EG5wOYlOcOJTgtC190YgNWQU30UHGNW+rXYoOXTQC5gmKrYTQQ6AVhMweC/XNoGFAME5gjBJg3sDFQA58xAMgGHSl+GDLuCO6lQumk4PMouCB6u3IosWy2TeDrcvgytpV
i344cghi9MVKEII6KgIhPXaIZLFiFe4EhJHZIWLQkByC68jHKBhAAFE70SoRQ2KlfHyFMBeOj9fjsUIXwyhROX9cNgAmqEqdT6oo+6tp0aFP5SAWCZBm0KqREITOXQjWnCXTZ9DUSu0fElaLoTYtQoLUMJMYImG4BTwQ7K2jMMUwSAGCpAaSHACJDKB6AIXPasK1naEVdhGwuPpGwYFiEmBlFFLmnzS5yNnAIIosPMEHAwwohIsCbjqXlC5g4gF7
LUPMHaBhJQaWwiHLV2kGtBvh8ghrg6RLoAiXS6GEETDDBEqFtBUIvQRmXhFfYQoxgh1mYP2hTciwJpLSoqBsE4jIOM/SMgSN7r+C0mCHNwVk325plcwaHSkRIJaE0iFxdI3fsEKXr4ddOLI17GyK0IcjBwXIxIVvUYGURT680QURkPQAPixRbHZ+OPilH30Z88o1+IqPfplCxOeIjfOA2AQajhRL47UQ0LQR6iDRBnI0V/lNGQDMGZnGAWAhbbqp
BhWLZARDHTGzB0BgFfhEiGmH0iyWEiR4HuFIBjA8IcAbAIIitjkCoxlAvlhGMFZ7C6BMYhLreKS4JiWBSYtge9HJCMVdGvFEJtFC3GaN8xRYbMA7wtD5hewysFEToikFfCtRL7U1o1z+HKDSBQIzQuoPbFaDIRugquu0J7EfY+x4gwcSiJHHKxwYxcdsOiWxErip+5/Lfj3Xn7EjHmk/KWmSKKwUiJ64k6elWxnE1sVas2PDmEOFAvZIh7Yc8bWE
vF4drxpHV8RsDokCYT6wo1KXePFE/i8hX4vju+LjAlClRAElUUBMuwgTt8YExvJlMcQ6joJGCfUeVTfzwS0GiEvKKb0aoTkq0wnBoP0NhGICsJwwwjlEnDg9dCmfbM2h8GJ6wQxqNDBkSrluRsAJghAESMeDYC4AOgIIFTEYDuQUBV8uqIkCGJ9rsTwx1A1iYxP2EJ9khyfKRlK1kIpie2ZfFAY+iNJdo5WSdYJA6GVhRV/CFbd2lIKho/DLGSgx
sSoMBHfti4WXBvg32hGoMnCmoaOtDJhm11QmESfFrpRboT8tYzwY8NgH2BsBpISIEEHME0D9B6ApAfYMoGkgGRlApEESBpAthLdVRs4oTIzTKBxtWaS4pMk5O8kHcS2OyIHDMDVB+DSmgQ/cTlDNGNtUJ0o60bwAfS2chpRYHQvMGJqujjIxE8WaRI2B4Q9wINegDAHdH0Sdq07MMVQJ2HnSTZ7E5dmKzXYp8ThmwM4Q9OLBSpewToOOkxgxYBJB
wZfaKLqglhBIhZ0fJSVWMBl1jm+mk0GdpJbHfRo6oTQ9sbSMlfgYRqALxmJJhhpy4UQlcwXpABb9h8qGLRyaAK/A4y8ZBMomSTLJkUyqZNMumQzLADt1pxrktbvOK7quDuZ0TXmWuL8kYdqRRzPcWFNDJMjdO/6aOi1G6RjyTucQ4jr7iSlZTG8MeePKgEAA7C4ABbRwABkNgAFy7AAOIOoBAAug1TxUAgAVAnAALquAARydQAH1AAIDWABYwcAA
LozvLLyAARUcvnV50hp9BecvPXnby95B8k+efKvl3yH5/eZ+a/OyE5TPxPHQoT+PnzvwSpFQo5kp1AlPiIAH81eZvJ3n7yj5Z8i+TfPvmbxS8IC7QJpzqkEdmhr+XBHDI6Gmc5cKQtCXAIvh/oFZ9vOWnhm6SuiRqM0zzjgNmHoByZzwTQHcAQBgg/ioZBiZbIj7MSzpFY2gWYiulcSIAN0xMfdUdmZ9QWaaVUOzGajWh05nST2fekfSnj+w0UJV
M1AYSSCqxKkoGWa0tJ2EwZzYhSu2DiAag4YdoeYHoPzAoycU1uW0bTkxnS9igJc/GYTOJmkzyZlM6mbTPpnhYG59go5m5PO5tzB6Xk5fj5ItyhxNxATM7sFNfxiyB5IQ5erp0ZhXieR8ivkegEAAznYAF9R1ADHgPmwxS8gAGTrAAA5OoBAADQOV5AABzWoBAAADWHzh4G8nuFfMAA844AB0O1AIAA011pf0pHiAALjtHi8AEgV81AJgCDiAARRs
Xk3tAAPuPLKQ6qy1ABMVQCahmkQ2K+W/OFFVKal0eOpaKEaUtL2lXS3pf0sGWXzRlEyqZRvNmXzLJYSylZa0HWViZuk2y35aKD2UHKjl1AE5ZfIvonxwFk+SBd+IKkKjYFn8QCQgoqk1CNgFy2pSHVuVtLOlPSvpQMo4DDKxlky6ZcPDmULKflayjZYCp2WwxQVhy8OBCtFCnLYG9+eqYg0amGjKFJozoUhIRY0LLRMBWWZLFzF28GoX0XxsN1dG
HSPRc0rWRICwgwA7kx4OAJoD3CaAjpvDE6WbJFLHU+CbE2RbGMDo8SQ6d07duwNNDFxZgQ/PsYrAVQjMfquKDVMFC4Q2goiYcD4VDksVhzfh5rLSbYxFJakBY+aB9HqFcWFNk5QSf6t0gigKFHOSsWuoOFbDAZcxhchNBAECVlyQllc8JTXKiWS04QjchcfEuyXwdE27c5JR4JX6+SNx/kzJcU1pG5K9+h4iKbtDrDA9Ni+hWsJfynkb0Z5vIijq
8rJUfLwVkK+lVfMXlVRyO+yxSnwCUpDZyOZyxvORxHXvKmVxy1lZfMnWXzp1YwWdQcsfTUBF1ooZdWAsRWSi4VKJWURKJgWlCUVpUtFeqOQVrrSVG68ddut3X7rD186k9VVBZUHriFUE0hdyrgm8r0GAqjqeL2oToSxM4qoYa2lL7thqMQ4ACq5yQgay8l3o9AJxG4i8R+IgkYSGJEkgyQ5ICkdYeIvBwRcDVh2C6VbIOEB0jhds6RvxMgCuJFQh
oesC9UBacIxmP1cYE8PChjjSs/6GvuYqa7+hfVtpdSQ2Ja52KIAOkyFgLA7QIo4UrYKJHoOtACxNSD6b6CIOdbZyK67QN6s1HTVgceZxa2JedzLVszyQW3DybYM8Gr9wohoWFNIJFnYcW1B445pU0eQbN7uX4R7h8gkTfI3gnwb4H8ABBAhQQkIaEBREZG9MpwzgKVIOEAxDYNSyoeYFPTYxTNYR0dASkzD0Iqs/SCPclP5ru7lrYqnPc1Nz2IAH
MUw53fnrciuZC8qtIvX1GL2ywS8ZQwaKXpzSV4KY5eHzZ5gpkCR/UiwbYwZsYqxoZZnA2m/ON0jkkGb+VxvNbe1O6FtY6FdoqziXD1qIaGoMweZiNNzETTKEIkLDa2ucroA9wPARlEiDgDPBVJZA42aFwkWHVzZ0io1ZKRtnxiJW5q1gdKwEnWqS4GqRnmM2BqEo9FpodmCqGPZ/NcMnQLMd6pzrVjaxMmhQcDIjnyao5DixUEoQjXAxuxhm4ceE
SAxdolQ3hDGZEyxkxts1wSiuWEurmRK65MS6fk3KjaEiFxiSkkUWz5nkj61Pc7cX3O80Mj4h7awjsUsHWlLT6gACFn31ReEeB8pBh2TANs635eR33Wy651BDVitQDqSAbZd3S1AIABwWwfBwAuVTwr5iuwABPN66sPPiumXa6DlgABbHp4leQAD7tDywlT3EAANY4ABrO+ZWgp3kh5AAO5NjLddEzA3UNhd2K7AA2D2LzAAwTUHyzd1+KeDbsXmA
APkcAAYQ6gHKWoBAAEeMdLqAqAQAA8jgABjrUAgAa6H8VgAAAnAAqbNTw15qANeYAERJ2+WXtHiJ7F5gACVHU9PcQACzdgABwnAALjWoAd4Du7QD0vKWAAI9dQCAAKIfz2AAbIZXmAAR5pwUAAKG3QAEpF5keD3U0q6WAAx0ZXmnzQFj4uXQrqV2KVqAqupdfSs12oAqozusTNQD13R7RQRu03ebst3W7UAdu99Q7q6VO651buqeJ7u91PKOAAeo
PevJD3h7X97+p6DHvj1J6U95u9PVntz356i9JeivdXrr2N7m9bejvaXq7297+9HAYfWPon3V5p9c+xfagBX3r6r5W+3fTUoP3H7T95+18RKNynwr8pY+QqX+JE5wLv6z65Tsgvl1vLFd0ylXeUnv0a6tdOut/VHuQOf7jdlB3/ZfNt327HdHyl/WAYgMEqoDMBz+WvPgMR7VDBDD/WMFj2oAE9qAZPd/rT0Z7UAOevPYXuL1l7K9NerpQ3qb0t72
9ne7vagD73m7qD4+oeJPvoML7l9a+zfTvr32cHUAJ+s/UQvZU6cYJTUihUZz5XUK02vQkVa1UdC28DtwoUfqKC+yujcAl2nzYLiJCPBjwkgVoEYHv7arYu727YfqoXahiGNciuMRIzNWp9lFyY1RcXAMVcCRYCscKLMDtA/VeqPzYwVoWChy172wcyTWjue1w5Md1i0SpHKDVoky+aoWyV2hJ2E5KF+NIzW0CCSrHwkXaScVVQCW4ygl5c0JVXIi
W1zolTMsqZGzn4JLHN7g5zXWvSUNrPNytD3vkqPHYl+13I6XYMaUin1AAH7XNwd5beReUsoOU27p4Xu1AIAF2BwAIA1w8LpY/MAAvdYABKhwACQdXSpZYAABa/3Z3En0rqNgKJtE4fhwVzrsTU8XE4SeJOoAyTVJmkzuvpOMmeDc8vgxApvVQLL1964qY+vgXndEFlU5BaycuUJ4OTWJnE10t5MkmKT1JjkyKdQBMnMjuohqbBJaGGcTJkGjbeaM
6mVBmq9C+tOWN6mDTW0txjUBnVdFar5VkJnDQoqJASRFw74SQB8CRB3AoAIkVoMQCEAGRXgQgD4K0BBAdHNh/DD2j0cjFUbSKnEhEwouYEA6+JQO9jfKF4GQxZg36CNe2gCl5inCcQPOZTglhqgjS/7DY4ay2NWKNJAag41ayOPSSlYuc/wt1iTmUKnG8QN7JMFfSAxj11xp/SYozqFMM1bOlyaWubk0oY2sZBzekyrX84Y2guQyMZFMjmRLI1kW
yPZEcjOQ6hqbf/IFQLaMzVx4VNfsDhtA8EslzanfmrUlkoSeh224o1ZxFCIomFDUHMSe3xyujsAdR+aRIh4AMEOg9AKaNymTPRjTpn21MzIp+2HDbZt0wHfdPGOOLXCTMa9kXG0UaFxBOfc0FEmVDKxVCGLB9hYpkHbHX2cm2xbjsxwU7XCrMEC8ZKqQSxSc1k69nJLLjU7g2lmuwezuXOc6W5EbHnZ5NJH86QT49COKdybW7jRd5VcXQR3VBS6k
hMu4UR/KDyABS8f6U7zAACBOAAKGZqWAAYtdQCAAbWqDwu7RlfcVAAScAAJ48bsAAxg9fJN2oBAAzzX3ye4zl43YAEPOxeZssV3Z7AAkavDxAAMTUuGe4e9TuLHg+U9xAAyDWAAchtQCAADUfL3zLAAnF3eGnL3hwAB9DeVjpT3BXmAAGzqnjzK96gACAmS9gAdjHAAoeOjxaOJe7K81ZL3l7AAHz095E9iuwAAw9gAFrHzdsuwAI8tgATVW8Ti8
wAAB1TlzuIAF9xovLnsADh49Fb6u+7vDgAc2bAAEoMKBAAIX1bWRrqAIfYAAg6wACrNm8FeZSYGu9XUAg183a3omsl6Ol41ya0/tWWABN5p72oAQ8gAAN7j5O8wANET8eIPNnkV3lLY8K8reT3CBuAAAZrGuK7AAEDXLXV9gAXQ7UAgAAEnAAIn2T6e4cNvE1PEAAYLRvJL1TxAAOBOoAV5gAD07RlaJ8yx3rXndKd5IV1AIAANV3PQXtRs9xAAF
7OABR0axuinr8gAQcm9LueReTbsV2AAYnu8OAAGmsAA8a7IbyuABdocV2AAShd92AAHLpL0/Wk8gADabFdSeQAAdDYp0yulPnnR5F5+lwy6gFMsWXrLtl+y45ZcuoB3Lnlny1DY4D+XUAQV1AMzfCtRWYrHAOK6gASubxUrGVrK6gFysl78rJeoq9HZKscByrlV1ADVfqtNWWrkd9q6gC6s9X+rQ16/KNYmvTXZrqABa8tdWvrWS921vawdaOtnW
LrV1m63devwPW8TT1l69Oo+tfXfr/11AEDZBtg2Ib7t2G/DdQBI3UAS11Gxjexvm68bhN4m9PHJtU2abFl+m4zZ9uK62bhezmxwF5v82jT5u4W6Lf/2S2Zb8tkeErdVsa2tbut/W0bYyNkdspl6/g1KYRVCGkVD65fE+sVPoqqpGwXSwZe/k23I8llmy3ZZGUOXPbLt7y75Y9tO3vbvtiK9FcoNB2Q7yVtK5lZyvFXY7xV0qxVaqu1XUAjVrO21Y
zs5388Td/Oz3ELuvWZr81xaxPYrubWdr+1w6ydfOulXG7ed+649dQDPWi7b1z699b+uA3gboNvPUPehvx44biN5G2jaxs42OAc9omyTaXvU2RltNte0zc3vs2d7e9zGwLZ7hH2xbp9kvXLYVvR3lbqANW5rdQDa29bqAQ28bc2AkKmhYGi0y1LaDWmYStpmDYGkdOwiyjrp7EjMEBi4tXR7E3qCSxIk209zJkMyBZCsg2Q7IDkJyC5Eo1vbqNLEr
7fRuNXZnTV/2kY6cLGNWqHheJVUKDgHHa9LBhXeYK4QtC5g8u2Zf6CjpMbSaTWuxjszYpsbdmCkFoNGlX1HFldQenFkjPjrz6TB+y0gv0rXUm2M9kUDkizR3Ks2iWu6tmjbvZuyKczK1SSmS2uNLbA4IYuYl88pbfNXbmt9yCrcj1eRo97gTwcLX8ii2ApYtIKBLT92S2QxtQGm3ir2HVDLHgWEAVVMKDiCth8woL+ZgJTK1I9VzQW25xIDYABmg
zbZUM+GcjPRnYz8ZxM289J79N6wiKdsC6tH76FbQOWwF3lqDh1g8UswepP+gbCG8tnCcGrbsytS88mtNyJ1KL3dQXNvUnL25j1q/B9bduo2jNMNoV6fMxtuFkDIM8fTDPgWYAR0GXwmcIx8MSKYlArwgE2mpZFaLqQ6Z23wDtSEqrFCFApxahxpGAzYM+xuCzTfT12qQBQCmiSQEA+wLCHACmBIgUtcxXWWMCwh4Q0gCFpiR9vTMWzMnWZ37UMcK
f2yHq5whUN2xz7THjXSrJNfcLNDgxXsX2MYcYKhbMqJNrZ9p+Y06eMWenX7BSs+m8b+kwmufNhaM+4CYYlYmoZ2S43cRWTzczjfMEVUePLORLS5tZyucC1auxMG5rmbs7537O1+0PJxuCbnqhT62H5oVUUZdMlGgn9o5Aa+mpeprXRZwcC4qvQD7BMARgYsHcmYb+vTZki5C7y0OjfbQ36Fv7ccNY2Fmnsn0fZCEi0VDZ8w4amKloxFi/QvpsdaQ
fmFzE0XNjebtSQW/fZdni3mOc0NmEjV6CrjpOoKPce1DOEC5Sz6tbiLiW9uqtUlpzbWrSXyX20k7kKTa7UuFLYTiUodcKNaCAAInuZOZCaPF69+1eplm3roFRU/8fKfEM/2X1qQ+j/UI5WgbzT5C1oRBrak+P+33dHVyizg1mK9XcBRWT2u1BvpTt5r6IFu5trPAb++oL4OKjHCHvGUSERcMQHoCskwQcoDJ30a6NpmBWOTzM+dRNXMbMLBZ7C6U
4VCIpCxioTpIxghbnHIAASOp+MGigvChm+F1p1JrovtnC3lrCD9a30JluxYpfQ9lGsoW1vBw2WkDEdrpjNu9IjMet3+gnGCWFui55mfiNZkbO3yg7nZ0K5TZrnNa87nhRABBC8giQdwdaUIHFpFqa1qS2WoOGtBTnhd53fuTO6g2bbaFMs1qpXVk/YstU4aoWHqFdGcsPO0TzWTbUa8BiWvWnY97qtPdBubPIbuz/k4c9KLinbGh9w8PzA/p5UTY
Q0IrGeFqtLQXApWIaFkmTbQvbZv1Vjs7M47DjhNFUHaAWAKw5jjrB49W7fLD9wihoW0FFQ7doeS1Pb8S+5M3PDu7zqHUEwpcI85KznPmkjzCc0s3iczZSkUbx7SlCjG8PAIn+KZ/Gcc76AhuUZesE49SIAyohU+gA0+4AtPrwHT3p9wAGejPJnsz1UMkOajyftUkDW48E+BTLTxo7x1AN8fav7TUngJ7wANflGCkH2JmKl9dGEA1P3nDYNJDmI+A
VMUwIwDAEdocApodoaSLgFIhIRXguAC7eZ+OmWeaNvRx32haY0YWjvDskp8Dvkbahc4CrHUMYNWOZuBNisUNVbk0XdItU2pQD7m/C/ve9jCNJi996DhZhWwgLIJBObTTOmpAyXjVBaDGlMwoo4SWsLM/cTRRmwizvxVOOs1Vb1nNXpmhV526eTtzsvrbc6Xq/0B8ApED4FMFeAGQqGN5+uSO/vMlZOgRW7Uic9FmY+JZw3tv6N6t4XwnQAF3Jt0n
epMxlPBEzYHuG1+4CGA3f3v/36oYO+dVTv7Jyhcvf7ew33EiN3e+c8+/UxjFHr24VknYZcxXFXsD8xYy6NTBmIiscpPj8MdesTA8vvXp1QA3WJmEMIhudix89c/Izjg86MFt3eotQCWHnNUPIr1+My1IkUR9edZHy8FBdAj17kBvFSy5EJdDSwSkSlfH3vFhfbulNsNgEYBoDL6S9Sp9uOV+0EMX4en0tcmfTj3QA9fA3yN8TfTgHN8RgS32t9bf
e3wF8kFagOA1+PMXxyNhPPI2l9kJGhXN5ogS1yYRyQOb3oVsWEaVfQg/V0USgfTbhT9M4ALCGkgxwKKHHBmADoCEBjwJEFaBGWUgGeA8IDgAhBNvM/ykUL/XJzd9E+cN1vcLVDPhc93+esEVhstP6CNp1CZN3ZhCxaYBCJu2PqkUlzSEGVACgA8OU+9k/MAK1RVSPMEC8vsEUAxZk5EESFgbQPCSBxHGaPim5rQWY3bQq/GnVsF0PGzUw9sAod1w
DQqLryO55aGKin8vNGf3Kp+eKAEP5j+apnWxz+MVEDA2xQ0G/5sADoDOAgCCYDEANQL/n5BjMMYFwAEAJWDhxNALcAmBx2YAQIBQSRiHAE4WOf3E9VAy3jg12gZX2Cd60Mrk1ItUV0RlxFvYdhicdfL3iWFmAbnx4A7gDoxD5sAMPktckLa1hd9T/HwOuk8zIpy98TvPhF/JVQTzzxZWYOVn4FizVNXrBAyI2n/devUL2hkIvEAIyDovbgHzAPSS
hTbBazX1i7QXRArwn4MAjD3h8ATHAOksR/Q7gfMH0QsHR8AhXoPWgD+KcCP4yUDZjP5PkIJAER3UYwTphiAe/imBcAG/g6AEAPTDOAtUEYDOBRQK+E0AeAQMEfQP+VoFqNOwEATBIaqDVzE9PzdADOD1AvqQpdMJZd0VlwYcWCzF7g9DTNoeSIwK9FbXVoAok5ABAEeBMAEYA+AhAOYh4BsAFTCmh8QCEBGBkQdwKydPA890JBULK93d8b3FjQCD
zhGEOagYoO1n7JwYLQN+xPoBWA8RzQTSlahwnHN3SCi3Dp2ADkgvENUFrWcYCJCjOZmHvYRxTvg+w4eaH2pDGg2kKw9ATYS2BN0yB83VIQoNkO35p3HzX6DBg3kNP4jZUYPHYxgUMGLBNAGYGIAvsM4GIAyLL/k0BNAF/g6BiAbABsl1QfQi2DaJWaj2CGQXUMOCNXcAF9hNgOADgAUQEohhdoAcsHSANgLcFIBDA/IAYA6yO5AYtauM4G/CfwnY
EZ8RAVHDHBjgfQBRAkguPxrEtRf8Loh6UYCI/DZNXEOLDIAXpmginuYCLwgxFPbyQiAImCLSBQIwN2s8oIwCOAi8IqMMv8sIlCI+RgIiEEY1fAwiJwj9ARcHBC7qOiNQi0gPCGnktLQYxYjKItiKHkcfV8OQiiItIAbwJTa9RE5sI1iJAj2XVrS61slbiKAi0gMEB5dOtLl261YNV8LZI8QREEw1gRErniAhsZqCL83pboAqotI/ABUxRgKowqd9
kY7VMETIowDYADAGFwaACALBFkIBYH/HkiqIzDz+M4uQF0ARiACXT7p/IkgERxyEO5E9AJEX0B+AJgGKJii8IY/xlAoQZQEfBaIP0DBB9gDKIyiEo82DyhuIkiIQBGIzchJg4mI/kCAzAYQGYBpIAKKCj18LtyhAOoQBEq1yEDIC/5ggPSDIUkIogHB5OoiAG3wHwrlXF8FFJBDfwzTRrHhYFFDVS6lmAJEG3xTAvciUi2ok8nAAtIF7XCAXkCWj
/AgAA===
```
%%

View File

@@ -0,0 +1,14 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
## Drawing
```compressed-json
N4IgLgngDgpiBcIYA8DGBDANgSwCYCd0B3EAGhADcZ8BnbAewDsEAmcm+gV31TkQAswYKDXgB6MQHNsYfpwBGAOlT0AtmIBeNCtlQbs6RmPry6uA4wC0KDDgLFLUTJ2lH8MTDHQ0YNMWHRJMRZFEIAWMiRPVRhGMBoEAG0AXXJ0KCgAZQCwPlBJfDxM7A0+Rk5MTHIdGCIAIXRUAGsCrkZcAGF6THp8BBAAYgAzEdGQAF9xoA===
```
%%

View File

@@ -0,0 +1,14 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
## Drawing
```compressed-json
N4IgLgngDgpiBcIYA8DGBDANgSwCYCd0B3EAGhADcZ8BnbAewDsEAmcm+gV31TkQAswYKDXgB6MQHNsYfpwBGAOlT0AtmIBeNCtlQbs6RmPry6uA4wC0KDDgLFLUTJ2lH8MTDHQ0YNMWHRJMRZFEIAWMiRPVRhGMBoEAG0AXXJ0KCgAZQCwPlBJfDxM7A0+Rk5MTHIdGCIAIXRUAGsCrkZcAGF6THp8BBAAYgAzEdGQAF9xoA===
```
%%

View File

@@ -0,0 +1,14 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
## Drawing
```compressed-json
N4IgLgngDgpiBcIYA8DGBDANgSwCYCd0B3EAGhADcZ8BnbAewDsEAmcm+gV31TkQAswYKDXgB6MQHNsYfpwBGAOlT0AtmIBeNCtlQbs6RmPry6uA4wC0KDDgLFLUTJ2lH8MTDHQ0YNMWHRJMRZFEIAWMiRPVRhGMBoEAG0AXXJ0KCgAZQCwPlBJfDxM7A0+Rk5MTHIdGCIAIXRUAGsCrkZcAGF6THp8BBAAYgAzEdGQAF9xoA===
```
%%

View File

@@ -0,0 +1,14 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
## Drawing
```compressed-json
N4IgLgngDgpiBcIYA8DGBDANgSwCYCd0B3EAGhADcZ8BnbAewDsEAmcm+gV31TkQAswYKDXgB6MQHNsYfpwBGAOlT0AtmIBeNCtlQbs6RmPry6uA4wC0KDDgLFLUTJ2lH8MTDHQ0YNMWHRJMRZFEIAWMiRPVRhGMBoEAG0AXXJ0KCgAZQCwPlBJfDxM7A0+Rk5MTHIdGCIAIXRUAGsCrkZcAGF6THp8BBAAYgAzEdGQAF9xoA===
```
%%

View File

@@ -0,0 +1,60 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
Workdown break struck
^AVB9OBII
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebTiAFho6IIR9BA4oZm4AbXAwUDAiiBJuCAAVADkAMQA1IIAGAA4AZWcAaSMAIQBZNgBWAGZ9AEllSWSiyFhEMsDsKI5lYMni
zG5nAEYAdm3tADYE7Yb+pqaeQf6eAE4E/mKYDc3Bpu1zy5uEzZ3D7fvICgkdTcQYvN4XK63b7bX7/KQIQjjKDcHgNPYnM4Qz7Qv75SDWZbiVANOHMKCkNgAawQAGE2Pg2KQygBiTYINls1aQTS4bCU5QUoQcYh0hlMiTk6zMOC4QKZLkQABmhHw+BasBWEkEHgVZIp1IA6kCJmg+HiIHqqQh1TBNehtaU4YLxhxwtk0Js4WwZdg1I8PQ0SeaBcI4
CNiO7UDkALpwxXkdLh7gcISquGEYVYMq4TYKwXC13MSOFKbQeBEwZ4gC+pIQCGI3E21x4myagwaLaDpcYLHYXDQ+36cJ7rE4lU4Ym4X36J32t3TzAAIqkoPXuIqCGE4ZphMKAKLBdKZSMptPmoRwYi4VcNj3bHiohJnQabBL7LvFIgcSnJ1P4OEMnya5oBu+BhPkNb5CWkClBIACCtRdNcADyXQjCMCozES0BYMicLrGgWwJAk2jHKc7yQl8zxwv
6qBbA0JHQr8GIUXc5qAsQwKmhccKSAiSLcDOcIEnaH4COSVqioyLIcuySDbry/L5iK9LSRK5AcNKsoZHh5rKqqNp2ha9KOualqGsaKKkhJ1KGdhDoNk6wgum6jZej6fqNoGcIhhe4aRjGcYJggSZoKe/7mhmxBZhIuDbHmu7EIWJ5/rWwGoJss5DA0g5sd2TCjv2qCXMOBV9uOHCTmg/T7Ocmz9NcHYLsuwQ3uum4INuiUHmkOkpWepYXlebV3g+
DFNNcL43GJEBfj+YWpeagHUreqCgVu5qrpgyISAajKUsQbAUBwqCaIEuCUqgepCHyAA6XBOpQ5S4WUe2kAdR0nWdISXddd0PXpnBQC0hBGESqJxkD1S4PoKq0Z6m24XBRDKEVs0IIqun5aQUDmAQyOImjUDegqeiZLgGZMKFqDhV6pCIhmBDPdtr37Ydx2nedv3kjdlL3QquBCMTABK4Sg0SPOdUtlMABL8dIjbxP0EH3NBJSrRApBNO0dKkAAmh
McJYWUaSaPWV6aCs+EbDwQnmrRzi2zNHFcagM4zXxiIK9V3nmiJRIzeZtKqeK6CSppMpyljxQ8nyvnClJofQBpWlRwq+lqhq2GSLyGiBLqNkIEanEmhl1n6taWdlA5CV+JIyVuea3q8p5AYzcpDcLQNxRhOllzXKVvacCCg+FRVVW8AkULHI1cJDde6U7GNT7nPsux5cUhBLiu6WSz5gphhGuSxuaO5CsQPVHlkx8ARm83oDkOSABMDgA6HYALWO
oHsUDbdG0YKst6V1pS1LMwdwRI8hTDAAjSBmw8Qn1LNgIQZIDCLmvLgbg0FID6GIAABQpHIDBeJihIIQMhewJAnDLg3Kma+IEOr/BjopeOxAejXmwJIGk1h6ChHamBYBkCICxyUolVhUB2GXx0twPeRDuRMOUonFkiolFckYXHZSyEPKwG4O+Bh3JGTRVIKI8Rh5JFoGkZAvRpADEKIkMyJRioVGWIMRoluWi0BiWKPpDIMMEC1C3oQS2RIgFEKr
NWdMmYCLoFwA0CAKsoKRQ1jSA0ioEgNCMIMcomkeBQGFjASkwtCD6DgoqeSm1yxlHjHWTwVBraEVfK8Ci2IfhvlxKWB23x9jaCOCxLEUIzSlhdqXW2/Q3iNKhM0jekBPYCQ9DwTp3TyK9K+P04o/tuCB0LjY9ArI5KcgUmoxKWzk5SkjpIuMKpM62nsiZRyZlC7F1dis8SFc7LVxubXFyRZG6lmbr6NxGVfall8ofAK8DPHBWprTSKETsw8FrgWV
yXcIogKqY2a4M5rj7B2KcUefYpz7FxWOCcRJ6pfEGHOfYTySjb1arvUgQh+F6PPhI48v5u6QHniNDK95HxnBqs8Klc02XIs/GwICq0gFwjgGwDMtCoxEIgZAjxYAGhELBUURVUw4jjJhAszEgwnlFE2KRZiiyPjospWqhhmqigkTIvqyi3wzi6O1VRXV9r3g8CtQqmRmVtBmsdT8K4uj5keqWR071kCbVQL2Kah1nxDVQNVZA9VYBo221GeG5phx
dGvm0ExPVFFyWRqmNGwYdqenmqogS31DSs26opSWjVMjiKkUrYGmtFieCMWaWGy4xaU3Wpkf0Ht7r23kt0e2JtaaZGHDbQGppnbIGXEzVWgthxp3RphF0vtjrE0JDiGu3tGJN0yLOPEI9Y7Jm2tePW5ixFT0WMysqkd+bj0BoHVMVN0bviHsDWOnFs6Gj+vjTqwcj6YHdvnaB6tIbQ3tuxF6wdPqn3kp3Qhvpuj7zaEvXGiDUx6kXv/ferDt7cPd
ISPho1DVtDXDo/Rhj9HWmQLbP6ppAGzhUZjcajjYzdHnrvRRrjrZXUFrDbo5sOHiN6uE5NNjYHC0SfgwuvpXHHxvt4xCCT1wulifbWpzYon32YlzR2KT7G8PIajTIh8PG418d9SceICmPWwKs6WmzPAyPSeONepNsbC1LKQ1+odXby0afs1pxzOnGOxbo9sNTYJBO+dzd8E1gXzX7DU18dLu6bipcGPJt19nssjIs4p31ea8vjOuNlgL1WJ2VZGT
BgtlH3PNq7VPXTxmKKpfRCpt1bWQsocgd2nTxWMtDkq/VjDB61MzhA2M4rqXvPld8/N41PWsRNBW0RtbDENv5s0x8HblW63kfvId47kJUvjb0wG+bf79uAafU2br13HvmZcxiW7tG4uMYS+1mdXari0Ym+J31qJFt3uVkD9NQwiv3bbLmqHA2mKw+G9ZkHhWfMYkGCjuzk2bhZbhzZ19SPeuQ5x89zjpOQfNaW61lHymWvBaKNGOBUrAhFhEOEXI
RCPGC4YULgXwuxei4l0q8XUvJdTBFzLhXcvpdK9l0UeXKvFdq+V1r1XKrtd691+rnXmuDcm6NyqznZlCmpgXngt0vPeEbVLPgUIUA6T6FhjIesOCZXyjQDa4Zq7pPXsMyzxnbOOdFEgkUNWsF0A8AABp8kqLUDgipggwAAFYBLYJngA4sLfYFBSmlmNhISp9ZyA1PNJErYNV0No5ok8QzYOKc8XYpZdx2hAwNGgcUaZ3tiTd8DH3/ESxRLl0kiHG
SuyS+qOEefI54dU5nL0hc15Wp3mT4siXKydyXlV03zqJyddO5lybpo+GgLijAv8jfPSELVpQtLFFGKUTBjwqSoimmi0UXpUHIMLcPeE1OaCOHitVIShwOPCSgkA1A1KCNsJMtSi1AgFyuYjHN1CYqykinPJeAvKtEvLyk0IgbsPjtLN+MKgBGKitI7oyhANKrKgFCNhrkqlxsBj3qPmrsPr3mqpbqWHANzswLzkwWbnwT3Nbi7quHbjzvnHQnwgB
K7u7p7jeD7rKvzkqtwZwewSPnAnEjHgkmUDLNgPsLUIuHrAAFp56YTlISgvS1J0SvgVpo7UT2xPDNDggXZwiDJeS8Tyw7S8BTalhrLuLb7Bxigz6yQKhCLMJL4pynLyjnIGSH72hb775WgPJDKhEb4pHH7mjOj1zf6j4QC/KtwAozS35Hz+7qpKiP6UHQrRSRIQC4BJAn4IpfI4FmSopoDbDEHNgPjHCQEjygFlREqVREjXBNhzgTSZTNQ7yrToF
Mr7hYFyrP7EJ4FcqEHjTEFND9C7C3wUEdHO7UGAL0KIwswSB5hPQvQXGQyZAgxgwogzSKhQwwxwzfLFBbRQAEyoxlDBCYwKg9i4zuDfFEwkxwhkxRCUykCQq/7FCMgMwcBMzXHoACxCxsCiysAPFmL0p0FfgIByxez+HGq2x6EFAGESA9AJ5wSLgABSCAlQcKRsNhYcdhNeTwrabe5ap2bSbhq232SB3hAYvhhJKIgRqy4+AcoRRyOykR+yC+Cc0
+6kJy2kCRa+SRVybyuRIC9ynevAWRyRxkWpxQ+RZ+RRJR/yz6+8oYd+VRQUPiMJ7KJQMKsU/Qn+Z+qxAgXRGUL4B6+wa8rYgxaAZB2MY8xKXk9UTQT4a8M0W8KBaBOJXUzKyx/UIqHK6xi8PKWxPR6KA85B98Hps0xxEqpxpeyJEAlxFAzM/h5ZtxwM4sjxtZ0MsM+A8MRsSMKMaMfx0ckAgJeM+AIJZQxMcApMQMFMro0JT+sJkA8J/gSJ5xKJw
kaJGJ9Z2JDK+x+JfhisJJUeqs5J6AFAme/Qeec4ws6wTJswthLM9hde/WLWOwTedS9UQe5WS6AIupMx5oA+/htswkEp6yUpip2yskeyp8cihygFxyEcKp3ZSo6+BpNcoRGRe+2pB+GpR+pkpYJphR7kriV+5RB8NpUY1R8Y9pk5jpr+jRuA+wbp3+BZvcq0hwuxcyDEr5DAIxRUwZxQYBoxE8tsRwI6PRVKsZcxUiCZp8mBvU2BP+jpnKGZy8Zw2
wtw7Y+x+ZU5hZ4qtBbZ85NZeRVx2l6cQM9x4MTxLxzZrZZxXxHZvxGMMFvZwJVlEoYJ5oEJY5VMZFqZxR9Ms5+AVZZQqJIsYsWJqACxs0ssm5HoSsEE4A8CTRcAcA6oC8hCHxfE6QvxIp9wDAhACAFAXQYFi+EFdi9iyiGViCpAUcIwq4+g6oFc0pwFc+EApV5VlVuVBy+V4RSpUFacJVIgTVaQ1QcFaFORGFkAjVOkFVaQ1V6RupKyDVPVY1lVk
1tk8FqRxQo1mQ41+gwszkBR7R5+q1c161lVLifyeF3VZV81fVplbxHoZ1vV+g1QhlK5vAH4s151h1aQVZA5EgXZqwr1d1CVOMcEZVR0fEuA7lt1F1+ge4woQNFIFAoNGssocNv1oCFIqoCeKI2GTQa8kWJU+QFo2AaN+AesKIa8BwRO84+NRgbABgSVXFBADKisxwPeLNrNHYpJf1kNW158Z+msiUv1AoJARldRN+9MKk7VqAasXQ9IGszINI1w8
t8t1Q1QCoosygNuSczIe4i42t2tytsSO5+Na1wMhcGiuMnAKZGVAhCAZgwgzAeeYtwthxkAJF6QosmY9MSwdNkA3igS8xYlCCRAw5q5dBiJqVIdXoQseJolDKHNdgmeCACwzALQiJcAfQ0U0NuAfttB4A0esFwQxYoSVYQAA
```
%%

View File

@@ -0,0 +1,60 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
Workdown break struck
^AVB9OBII
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebTiAFho6IIR9BA4oZm4AbXAwUDAiiBJuCAAVADkAMQA1IIAGAA4AZWcAaSMAIQBZNgBWAGZ9AEllSWSiyFhEMsDsKI5lYMni
zG5nAEYAdm3tADYE7Yb+pqaeQf6eAE4E/mKYDc3Bpu1zy5uEzZ3D7fvICgkdTcQYvN4XK63b7bX7/KQIQjjKDcHgNPYnM4Qz7Qv75SDWZbiVANOHMKCkNgAawQAGE2Pg2KQygBiTYINls1aQTS4bCU5QUoQcYh0hlMiTk6zMOC4QKZLkQABmhHw+BasBWEkEHgVZIp1IA6kCJmg+HiIHqqQh1TBNehtaU4YLxhxwtk0Js4WwZdg1I8PQ0SeaBcI4
CNiO7UDkALpwxXkdLh7gcISquGEYVYMq4TYKwXC13MSOFKbQeBEwZ4gC+pIQCGI3E21x4myagwaLaDpcYLHYXDQ+36cJ7rE4lU4Ym4X36J32t3TzAAIqkoPXuIqCGE4ZphMKAKLBdKZSMptPmoRwYi4VcNj3bHiohJnQabBL7LvFIgcSnJ1P4OEMnya5oBu+BhPkNb5CWkClBIACCtRdNcADyXQjCMCozES0BYMicLrGgWwJAk2jHKc7yQl8zxwv
6qBbA0JHQr8GIUXc5qAsQwKmhccKSAiSLcDOcIEnaH4COSVqioyLIcuySDbry/L5iK9LSRK5AcNKsoZHh5rKqqNp2ha9KOualqGsaKKkhJ1KGdhDoNk6wgum6jZej6fqNoGcIhhe4aRjGcYJggSZoKe/7mhmxBZhIuDbHmu7EIWJ5/rWwGoJss5DA0g5sd2TCjv2qCXMOBV9uOHCTmg/T7Ocmz9NcHYLsuwQ3uum4INuiUHmkOkpWepYXlebV3g+
DFNNcL43GJEBfj+YWpeagHUreqCgVu5qrpgyISAajKUsQbAUBwqCaIEuCUqgepCHyAA6XBOpQ5S4WUe2kAdR0nWdISXddd0PXpnBQC0hBGESqJxkD1S4PoKq0Z6m24XBRDKEVs0IIqun5aQUDmAQyOImjUDegqeiZLgGZMKFqDhV6pCIhmBDPdtr37Ydx2nedv3kjdlL3QquBCMTABK4Sg0SPOdUtlMABL8dIjbxP0EH3NBJSrRApBNO0dKkAAmh
McJYWUaSaPWV6aCs+EbDwQnmrRzi2zNHFcagM4zXxiIK9V3nmiJRIzeZtKqeK6CSppMpyljxQ8nyvnClJofQBpWlRwq+lqhq2GSLyGiBLqNkIEanEmhl1n6taWdlA5CV+JIyVuea3q8p5AYzcpDcLQNxRhOllzXKVvacCCg+FRVVW8AkULHI1cJDde6U7GNT7nPsux5cUhBLiu6WSz5gphhGuSxuaO5CsQPVHlkx8ARm83oDkOSABMDgA6HYALWO
oHsUDbdG0YKst6V1pS1LMwdwRI8hTDAAjSBmw8Qn1LNgIQZIDCLmvLgbg0FID6GIAABQpHIDBeJihIIQMhewJAnDLg3Kma+IEOr/BjopeOxAejXmwJIGk1h6ChHamBYBkCICxyUolVhUB2GXx0twPeRDuRMOUonFkiolFckYXHZSyEPKwG4O+Bh3JGTRVIKI8Rh5JFoGkZAvRpADEKIkMyJRioVGWIMRoluWi0BiWKPpDIMMEC1C3oQS2RIgFEKr
NWdMmYCLoFwA0CAKsoKRQ1jSA0ioEgNCMIMcomkeBQGFjASkwtCD6DgoqeSm1yxlHjHWTwVBraEVfK8Ci2IfhvlxKWB23x9jaCOCxLEUIzSlhdqXW2/Q3iNKhM0jekBPYCQ9DwTp3TyK9K+P04o/tuCB0LjY9ArI5KcgUmoxKWzk5SkjpIuMKpM62nsiZRyZlC7F1dis8SFc7LVxubXFyRZG6lmbr6NxGVfall8ofAK8DPHBWprTSKETsw8FrgWV
yXcIogKqY2a4M5rj7B2KcUefYpz7FxWOCcRJ6pfEGHOfYTySjb1arvUgQh+F6PPhI48v5u6QHniNDK95HxnBqs8Klc02XIs/GwICq0gFwjgGwDMtCoxEIgZAjxYAGhELBUURVUw4jjJhAszEgwnlFE2KRZiiyPjospWqhhmqigkTIvqyi3wzi6O1VRXV9r3g8CtQqmRmVtBmsdT8K4uj5keqWR071kCbVQL2Kah1nxDVQNVZA9VYBo221GeG5phx
dGvm0ExPVFFyWRqmNGwYdqenmqogS31DSs26opSWjVMjiKkUrYGmtFieCMWaWGy4xaU3Wpkf0Ht7r23kt0e2JtaaZGHDbQGppnbIGXEzVWgthxp3RphF0vtjrE0JDiGu3tGJN0yLOPEI9Y7Jm2tePW5ixFT0WMysqkd+bj0BoHVMVN0bviHsDWOnFs6Gj+vjTqwcj6YHdvnaB6tIbQ3tuxF6wdPqn3kp3Qhvpuj7zaEvXGiDUx6kXv/ferDt7cPd
ISPho1DVtDXDo/Rhj9HWmQLbP6ppAGzhUZjcajjYzdHnrvRRrjrZXUFrDbo5sOHiN6uE5NNjYHC0SfgwuvpXHHxvt4xCCT1wulifbWpzYon32YlzR2KT7G8PIajTIh8PG418d9SceICmPWwKs6WmzPAyPSeONepNsbC1LKQ1+odXby0afs1pxzOnGOxbo9sNTYJBO+dzd8E1gXzX7DU18dLu6bipcGPJt19nssjIs4p31ea8vjOuNlgL1WJ2VZGT
BgtlH3PNq7VPXTxmKKpfRCpt1bWQsocgd2nTxWMtDkq/VjDB61MzhA2M4rqXvPld8/N41PWsRNBW0RtbDENv5s0x8HblW63kfvId47kJUvjb0wG+bf79uAafU2br13HvmZcxiW7tG4uMYS+1mdXari0Ym+J31qJFt3uVkD9NQwiv3bbLmqHA2mKw+G9ZkHhWfMYkGCjuzk2bhZbhzZ19SPeuQ5x89zjpOQfNaW61lHymWvBaKNGOBUrAhFhEOEXI
RCPGC4YULgXwuxei4l0q8XUvJdTBFzLhXcvpdK9l0UeXKvFdq+V1r1XKrtd691+rnXmuDcm6NyqznZlCmpgXngt0vPeEbVLPgUIUA6T6FhjIesOCZXyjQDa4Zq7pPXsMyzxnbOOdFEgkUNWsF0A8AABp8kqLUDgipggwAAFYBLYJngA4sLfYFBSmlmNhISp9ZyA1PNJErYNV0No5ok8QzYOKc8XYpZdx2hAwNGgcUaZ3tiTd8DH3/ESxRLl0kiHG
SuyS+qOEefI54dU5nL0hc15Wp3mT4siXKydyXlV03zqJyddO5lybpo+GgLijAv8jfPSELVpQtLFFGKUTBjwqSoimmi0UXpUHIMLcPeE1OaCOHitVIShwOPCSgkA1A1KCNsJMtSi1AgFyuYjHN1CYqykinPJeAvKtEvLyk0IgbsPjtLN+MKgBGKitI7oyhANKrKgFCNhrkqlxsBj3qPmrsPr3mqpbqWHANzswLzkwWbnwT3Nbi7quHbjzvnHQnwgB
K7u7p7jeD7rKvzkqtwZwewSPnAnEjHgkmUDLNgPsLUIuHrAAFp56YTlISgvS1J0SvgVpo7UT2xPDNDggXZwiDJeS8Tyw7S8BTalhrLuLb7Bxigz6yQKhCLMJL4pynLyjnIGSH72hb775WgPJDKhEb4pHH7mjOj1zf6j4QC/KtwAozS35Hz+7qpKiP6UHQrRSRIQC4BJAn4IpfI4FmSopoDbDEHNgPjHCQEjygFlREqVREjXBNhzgTSZTNQ7yrToF
Mr7hYFyrP7EJ4FcqEHjTEFND9C7C3wUEdHO7UGAL0KIwswSB5hPQvQXGQyZAgxgwogzSKhQwwxwzfLFBbRQAEyoxlDBCYwKg9i4zuDfFEwkxwhkxRCUykCQq/7FCMgMwcBMzXHoACxCxsCiysAPFmL0p0FfgIByxez+HGq2x6EFAGESA9AJ5wSLgABSCAlQcKRsNhYcdhNeTwrabe5ap2bSbhq232SB3hAYvhhJKIgRqy4+AcoRRyOykR+yC+Cc0
+6kJy2kCRa+SRVybyuRIC9ynevAWRyRxkWpxQ+RZ+RRJR/yz6+8oYd+VRQUPiMJ7KJQMKsU/Qn+Z+qxAgXRGUL4B6+wa8rYgxaAZB2MY8xKXk9UTQT4a8M0W8KBaBOJXUzKyx/UIqHK6xi8PKWxPR6KA85B98Hps0xxEqpxpeyJEAlxFAzM/h5ZtxwM4sjxtZ0MsM+A8MRsSMKMaMfx0ckAgJeM+AIJZQxMcApMQMFMro0JT+sJkA8J/gSJ5xKJw
kaJGJ9Z2JDK+x+JfhisJJUeqs5J6AFAme/Qeec4ws6wTJswthLM9hde/WLWOwTedS9UQe5WS6AIupMx5oA+/htswkEp6yUpip2yskeyp8cihygFxyEcKp3ZSo6+BpNcoRGRe+2pB+GpR+pkpYJphR7kriV+5RB8NpUY1R8Y9pk5jpr+jRuA+wbp3+BZvcq0hwuxcyDEr5DAIxRUwZxQYBoxE8tsRwI6PRVKsZcxUiCZp8mBvU2BP+jpnKGZy8Zw2
wtw7Y+x+ZU5hZ4qtBbZ85NZeRVx2l6cQM9x4MTxLxzZrZZxXxHZvxGMMFvZwJVlEoYJ5oEJY5VMZFqZxR9Ms5+AVZZQqJIsYsWJqACxs0ssm5HoSsEE4A8CTRcAcA6oC8hCHxfE6QvxIp9wDAhACAFAXQYFi+EFdi9iyiGViCpAUcIwq4+g6oFc0pwFc+EApV5VlVuVBy+V4RSpUFacJVIgTVaQ1QcFaFORGFkAjVOkFVaQ1V6RupKyDVPVY1lVk
1tk8FqRxQo1mQ41+gwszkBR7R5+q1c161lVLifyeF3VZV81fVplbxHoZ1vV+g1QhlK5vAH4s151h1aQVZA5EgXZqwr1d1CVOMcEZVR0fEuA7lt1F1+ge4woQNFIFAoNGssocNv1oCFIqoCeKI2GTQa8kWJU+QFo2AaN+AesKIa8BwRO84+NRgbABgSVXFBADKisxwPeLNrNHYpJf1kNW158Z+msiUv1AoJARldRN+9MKk7VqAasXQ9IGszINI1w8
t8t1Q1QCoosygNuSczIe4i42t2tytsSO5+Na1wMhcGiuMnAKZGVAhCAZgwgzAeeYtwthxkAJF6QosmY9MSwdNkA3igS8xYlCCRAw5q5dBiJqVIdXoQseJolDKHNdgmeCACwzALQiJcAfQ0U0NuAfttB4A0esFwQxYoSVYQAA
```
%%

View File

@@ -0,0 +1,147 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
인생목표 ^yeEZslyx
소중한사람 ^yseN0NID
일 ^qLmTEj2f
건강 ^zCQcFfhR
가족 ^s7SWXprf
친구 ^ieH70Zna
동료 ^mNVGLMAZ
업무 ^9z8i2ntP
개인 ^Id3kwtuV
정신 ^z9KxlrFt
신체 ^8xRJy8i1
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebTiAFho6IIR9BA4oZm4AbXAwUDAi6HhxdEDsKI5lYOSiyEYWdi40AEYATn5ixtZOADlOMW4eADYRgAYAZgBWVrmuyEIOYixu
CFxJuuLCZgARVKgEYm4AMwIwhYgSNbYADQBRSYAlAHZxzAApPv0AFWUANRgtwAyhRbgBVVpbSAnQj4fDA2C1CSCDzQiDMKCkNgAawQAHUSOphpdMdi8YiYMj0KjrpdsX5JBxwtk2pc2HBcNg1DBuK1xuNLtYamVBflIJhuM5+dNtC9ppdeWhnC8Rtp2jx2iMABzy0lY3EIADCbHwbFIawAxK0EDabejNFyccoGcsTWaLRIsdZmJzApl0RQiZI+br
LpIEIRlNI+TwFeKMQgjnz2tqOu0pnqEy7hHAAJLEVmoHIAXUuJ3I6QL3A4Qnh9OEy2ZzCLhXqJUQ3Em4oAvpdNI3iPdgulMkW8vUCuLirBO16sFBodtjhIYAh7gAtZj4GCS6d96dt9vXCTTIwvAAyAEV2q9nLg80ZMABHSYbgCyACsRkbeQsZ6Uay4KQ2JUPu/5Hsuax9Bu2oULsFD4MQ7TYNgF7aleADShD4phPAAJoAApLpAs5lOsIFsGBk4Hp
OkGLCu6BPIQACCJzYEIFBCDiF74LsUAsZg7R9CxLEIPhJEduRwGgRA+7imWCZCHAxC4IcjGtC8PA8Nq0zjAkOojNMCSXEQHA4jWdb4KZbDYHijFnPgYT5LRU7tmRayHJgi6XD0zQpr5TC9BwAwcEMaCTC8Wrajw4wjJMlxLCskoSLgSSJXsBzJmgjkXAmJ7oGum7bru6KwvClLUhipp0gmZKGoSxDEmgfB1QaFJIuRtLHA2jLNkWrTspy3KwHyAp
CtU1Jiu2KWoM40xxHGipSqM6qajqWbtvVeLuuaVp2raSD9k6OZCG6pp7V65AcL6wEZD5CZBk1IZoNq03FBGUYxi18ZbUmGmtLqCTjLF2qdNmDL5oWuSKe2Fa4FWjG1vWCausQ/WWSj7YDmdQ4jvd46w8UymqepfJaQkPAJNqkwJG8CQJQmZkWWgyPWUztn2ac5wIOWnBQMChBGGUsV85kABiCNwkqqCDQmXmLhIgAe44AuwOAJVdgA6K+i5AUD8C
5rKrmvogrLFEMoLToGImRMOijRQOYBCm1GFsQPoJDELUlx6JkuBLEw1YSHcjyvO8Xy/ACQKghCULsqQUZLAQeveQb6ta0KQhQGwTzhELZRYkIvNM37AASkbRorsvxNMLldEeUlAZRVCBU0nB8vyzfBaF4Wy9MNMZmM4wvIlyyrKl0zojs+zBGTOU84ljEQGel43neD5Pq+H7fr+ZVwginVrN16LbQSwYkm15IIJVXU1T1qPCNGGNsgmHJcjyY3vZ
AwpTZcs3SuM7Ryl+sUGW0pZQamiptYox9dqenQNaQ69pjp2VOudD0nlrq3X9A9dsT1mq8BeHKBI7RiEkNIdqbUIxwxl2+qgcY2giGkMYcQhmrRKF1X+uTaYkwMxcKAZAU6UNCblkrAgAOqA2a9SbCybgkF64tV7P2Qcw40gExhpcEmalsqywplTGKWo3h8IgMzTG7N2xmjslo3KhctpRFIFAAAQklJYygZHTgwPjTIYiIBB2eG8T43w/iAhBGCSE
S4IDKFwHAbgCRtACjifE+JrQTJuJOLZIQRZnB0IFMDAUOlB48CSbMVhLwFEJgyMQRxyxnGuMnO4lRniF5uxxKQdo4s+i+HzB8Yg4IEDF2cNqKI2AwkRKia9QBCSElzGSbU1JHEix0MBgkXu2olmaTeu0SY/9q71FcpAfAoQoAmn0G7GQRxCJsCWBXCRbVgICUbhGXASMrKXHKSxe5IQF4ySouiOAFyxy5GnBOScH8ijjGnETIoQL6jOB4AQl4DCm
HEPIWwycYBMn0MRYwlhIxwUKRrvkOuHkJAVCqCKW2QV/JtFhR3ZoXcyhJJ4JsgUIxNLD2SkBEYE9MrT0sXPfKjTCDNNae05SeYuk9L6QMrkO8Kr7xRDfI+7UT7PTPjYi+V8D4Kt6g/aRT92wvxGjLfkH91iTVFD/Fa7RWhV2WsqCh8RqYsqMvqC+MD9oIKOgmR0yC0Zuquj6P091AynzaEsqhX0K5zEMWELR0xlmtC4cQy4AiCxCITPDRGJjJHo1
1agWRRLUDdh2Yo3GyjRxZABXRacpFALzmTv+BiawYBhD6OMPoeZdhyRohBatVwF7AmLrcPoF5i4ZnGOCTAtxnwsW1AAcRGPiNgLx/iSQLRRWS4FDy9oKkYp44IcR5ieK0H4vErz4A+O0YuFAYBsD6M+LgDa5HoC+dRYtW7UV9rWGIOAQhPwnHBPcYEV5PxwhYkYWQOJJBGHwKu2tz7G5drfVWj9O6l7XlvC8e8j4Xxvi/D+P8va10vsQ0UHsCl1E
qU0RpLSOk9JRTTC8bUpklgs3Ec8jmFiHI83xUUQlcHoD6xpa3CKKLugUv6IMelAp4VzH0nLY8I9ZrrBGCujKU8EAz1QFY+eTaW1to7TKveVJr5ohdQ1ENvAzMdWM5q0zd8+q5vk8UA1b82jjQTF/c1CZf6jG1IA21c0EjWt0U66NSq/VwIOogr1J1fUXVgdADBgaAyXFwS9WW7n2yfXLsMaNHC2hpgoe0LhMxk2Q1TWo9NIixHXPbGjR+bGsbFBx
ssMtqi0Clgo6TLRmkqa6NpvTRmZiWNZo41zWeTlrHFFSZkQWwthgmpm1ASWbsdx8kuArNYgAYwcAIiTgAdVcADUDgAY9u1pQJOFcIC7cOydjbC4nbmy/fdG2zd7buHuy7N2xAPaevbN7KIftSBeKaS0tpHSxXdN6f0wZ6JzTxw4InfWEgrvHfRLgDOWcc7zbQPnKbeyS7UMjVXHjbkAJzng7JITFtaaiYaOJkKknuBaRGC8fkOkh75UU0BbUXL1O
ae0/y6CsF4KIWQqhdCWEcJ4SIoZjV8q7NqvMyqlqVnL5yppFq+zOqWzrefsNVzGWTWee4Ca3+cx1RTBpjqaYIw6a8KYwmEBaZtDxRWe0FhhW1kq4ixAeBB0HSxcHN770N1kvYOKGl4Y2hWiTBGJqWKmkknM4ZuzrLBPhgEIFHpLP4xs9ENJPl2WGyEjA2pv/MruYKsdYhRADNoinlNcgPV3N+a4M8FKdjJRHiK1V661R8mfXqbrTeK1Yb5lRtmM5
ryyb+pbmVMcNUGp7ZUjlq8T4kO/jw5BKjqE/84TInRLlOMchcUPcMaTSktJ8zYnTHlIy4ytHNI37b0h4o5S5/VNZuxsxByjknPUucy5cfKBWxO5UCB5evUxV/ZYN5MAj5BuCnBMX5S5ccQFatEFMAMFScCFMAKFIoGFKPGPOPcYBPAyeFSKBtGFDPHPag7PPSIhXFeoEsYnPjMnCAElI3SnYYHSSnOlcmN3ILSYDoNlUeZ9doHnLKLjafAXCQegf
AZ8D4fCYuYuQgW4ZgCgBANgZgUuC8AcexegGXNXaqeXYAi+RqPBEfEww0WXdXYwxve+JkRzIaV+UaNzQ3M1Y3C1ZUVUWJEGKKSmWPAI1lB3FaEGbQTZBaHSYGDMDMGmL3eLd1P3JBZ0OLNBf1EPO6FLR6CzVoTUWJaI/+Ao/IlPD6NPV6PzXuCo3SKoiomnRMLRF4GYFnN4doYo/hcraGHvKrBGOvIAuw3GBrFvMnItUjEtVrLvFA5DWpNdTbR9H
dZ8C8X4e4T8HgE4EjMAXZEnY8ftQdYdUdAUCdKdGdedRdZdWDVg4jTdSYrYtYd8cYTCPofEAAeU0HwHGAAH0DRJg5A3iEh9hwQzjpIENLj6h6JP0JB3xNBxghBgRmAhB2h8A3jWh8QhBdhHQNwEArwWJcAAT4Dvl5JGDe9NNetaMj9tJGMLC8cx9P8G8jFJ9JDnIRiCV5Z+MZiEw/JhNZZYi2S6deC2g5gKEBtz8FN2VUp2hVN8puUNMp88priJB
5jFjljVjyxd5rCjDaoFc8QzD0sKSMQlVVTD5tUHDtc9VnM9cXCDcJoyU0ATcVprUlkGjuEmiE94pDEQFNI6FZhtJiE5gnUE1ajoF4iJBfdDp/cfVA9Az0Bg9MEg1UsLNRYExssaElp2EetAZo8Witly9RUOjixq9a8asv9igm9jTGtIDIAWs8Z6lu9czCSesdFqYBt9IhtihjFqSyzaTONuYpC4Z+Y5sRZFt+YVtpYdd3JEd0BAAfcdO11jHIgEn
Nu28ne0e2tgtBewdnwEXIkE+2+3RD+19mZEBwXlkPkMUOUNUPUM0O0N0P0NjjhwR2TgkDnI83R2zlYCx1QBx2Y2ZFLgjT5CJ0ZN42ZPOIQ04LQHih4IZwikEKSVtyc0WE51SnsXEJ5XpNxzBKYlYnYk4m4l4n4kEmElEnEgMJszl3VMsM1LjJV31I1zq3sIa1gu8TNKNUy2KCN2tM8NQDBjyMKO4o1FqJASpjCKMlVHpmMmMm4WmTIuNAjJ9yix+
2awD1xiDySwyLD0gAjxE3VEENPzTJimL3DRyzaG0GmHyJMoKMMnzx60HgzCikmHIIhgrxzM6y6MzTbOzQGLcQLWf3/Oa07yrLTXbA0SJPrL0WZxBk/NY1qxbLpK7JlOANnycQXzQFkWX3ulXweF8VDgCQjmCWjmGX3zQAIRWR4sKNGAkum0vylDoQKSIRZySRmFYSMhtxKRf0gDfwSpcVcqZh/wMD/zOT+SuULIEBAJgKonAN6IwGgPeUeVxKbkQ
P6omPqFwIwIbUwIJNQNRRj00p0u2t0rKqKGtWMuKvyMMgYKKCYO8pYPInYPcJAtQGdW5JbnpzCnpTTC1AmAWnoqShEPWCNCQqlJQp0xkPBGwCeE/A4C0iNB4GBHNkwnxH+HsUwnsTzE/CIqqgNPPkV3MMosMPRpoocxLPopc3NONUtO/m8z5Fsu0BWTei0h4sZQCz/kWk2UYySW4peFaN1NdWkuDOi2xgUtQUukjOUqwWDSV1QFTCj20u0tqMTMj
QMkEpj0VvimVsmB1JjQ0l7i0gWht3BnbBTUcrzOqwgLcubw8rg2GPWNGMrPLQWoAo/WmME23QXiMCNCvGwHFhOEkCeDWI2NBJ3UECNFnW1HuE0FnU/GLnFnFmIFuG1HwmmD6FwBeFuBxNSiBO7XfVqR3XFn+CeAvHoA3FnQ+CEnxBOCgHSU0HoD6F2HkJTvJzxJonIyUkoyCu0l0iPxyOMt1pbJG06on07ImwZMtqZPchZMdvbHZItipnAuetjCt
S4S0iCOFO+twE7TUwkJitQp3Rdrdo9q9tRpM1IqGtMIooxuszRuoqLNoscN12cKYrcKtNoXYtYTiA2TBjTB2ubMgBASCyMupi1FVthUAZZTiNSMiw9VDOSPDNAcSwDRUtFrwWBn0qTLyy0SMkZWIQ2izMEUqzhiNvGuLKLEivLN8ptpweJmbrrIHxpjpn0jKqMR7tLJsn7q0z5R7Nm1zgWzFmWyljWxNNIhnMABcawAVBqpzzs1hhHjY7szYXYrZ
DgVyHrXtHZpG1gtzPYExdyAcvF6BgbQbwaeBIboaOBYb4bEbkaYc45/A7yLsJH05M4XyOHsdSAC5PzelSjK44xmDALASEDx66dGdAZp7u4aMZhYUuSl6lNcBi4/q+dWGoIJAB0h0R0x0Djp050F0l1xS4YVScaL6j7MbtTsbiKbDD62Cr6CanDDV35SavMZoVojIo840CkWdrcBsdSQEMxnc3oGYDJtK6GAzoGea5Lyz+biAlLYGRbYyxaGZncuF
GV/DGNitiCZa3GJh1QFpbKJg4pRgtQUHGJdKY8GYrUsHK8aznKeje7L7+jTapjW928fLS1xiyHIBArKHKZB99EklwrxrzFxsWHuy4q7F39Eq803EUqGkVHBUQcRVOkIdJVodd8RkD93cdq0zP6YQKrlQsles5hYoFoKZllYU7nWrlggWOqQXakwWoAvFNAsR7FS6NwjR/hi4NxMB7E3iEB/gWJphMJ/hb5alEWxlyEhXhWRWad0W5lKrCE41GMWd
UwDJ/5tQiWjFurjk1B/9+rxrMRbkRqKAxqLniXiAdW9W67Zr2wkD/kOt1rgUVrwV/wlrnBpmjJVbaZRgFm9JWEKDVnitGUY9mVtmjJTqwBzqh67bScrqEBKgOCHrgouwb9An+zXXNJ2bDEvqIm8xonpTN6F4aXSA6WoAGWmWWW2WOWuWeW+Xptsmim1Ty28nyKxa1a9ScnbDSn8aBoKn9cSaPN3C2LyblQgs1RGNdK3d9IR3o8GbAYAFYV5R2buE
37UwwsuaBnZKIGUFRnpKozQ94H0tiEuLTKiikGK4JgLKNIDJZg0w4pP7wl2j/Lps8H9WW2pESzBiygLbdkIAKy2sLXiwM6R7WDWSUMF5mAXhgR8Rbg4BSBVjgTQ3ZT0AEndjknJ1UnjiMna71166dlG6AqKHqMqGh8x2i4qTGGxtM3PHf3yJ/2xNHquxuDo3aUILC8PrmchCOcRTn0PgM2AbpCaRgPQPwOlT01K3z7m3j4tTVVJKqLm2GQtc22b7
KnXDqmPDe25pJhdQHVYU3dqjdI+KpQE85Rk2Z3UxDPdIQHBaZLwGkjV2xn0iJmsipmTVZbctj3olmcxg4w7K9br2nma872iO8bH3CHBr32SH2tTmsPuscO3nqH6Y6HWzfOormH+c2GBYHHeAByJYeGjV5yLtAAAGsAEcJ0RmcvLyRhc5RiQWR57BRtcjc9AVRoZiADR/c6l2l+lxl5l1l9lzl7l3l8x28/AMRiQIr2xjHV8vOJx1CsyVxn8wyjxi
6rxtYa6slW69M+N8mJlHSdB4QiJzCDjjewG8oW4IwIx/4fEKmW4fEXQo0d8C8IwCgR4iSZU2VKt3GyS0T5XU+1XJ73Jlt6Tkc002+qprth+m0iKWUOmGKMGQBrSeFN3BmwQyYKmkhVW4rJZFHkzhLQZldlI0zjduByZvBDpvdniy9hztAG/Z3YgrSVMRlWPeFJztoQQ0K0grutohym9mEHzohh9nNJ9s2oYpVj9x5y1q4sNzyMezOheAsSYHECgM
uldKDzYuJ9ACEqEmEuEhEpElEtEjErE1Di4hutasLvvNoYKvDwxWLznn5kj2bsj0X+tWjjkmKFb0NKKZH5M8JoCC8HbgerNtYSX6X2X/e2zEpkTk+jUj7oTkpqTo0mT/VRigH9sVix+pTr11WqLyH9aBmzUAhTuk/fSWFQQ2n9773DHizrHhLHHmznBCzRBhMtxt3qBAvOYeq2POmS9/Wtn7z7ogsmkgh8agXvyrzl5iL/rGhvSgjiKwLy3zjpLv
szh9NQcjL37/h+89AQAHBqlYCuV+IB1/iuBJSvLYnt5HfG7Eqv9/XZ3Y1Hft+Y9z/YF5SADujuTuEgzuLurubu7uevLG+uZyd+hv7G3yPyBHSbgZXcbbIQ2mxJ9Gh1NaUcY2EUKevbyerdxjKVMKNKVhY7L13wXvP5rFUbQSB8Ae6A9EehPT4Az0F6K9DejvQPoBOj3CPjW05r5MxOtbcPgfToFR86K7bYmsxU/jdsk+tTZUHHirgTIEk2nZUAmj
CKMZSStGamKwjDBF9uay7UvlA2x7C0YytncwtahZSqhIoUwHQQXwPa/kqYbwKNJTCmDFZ4U/pAvL3H5Ax4SExzA2sIi77G17M/nRfCL3kQtUguDzAfp0UN4t1IueHDmub0n7RVveM+QFu1VcGtUu8QOSFsKjBzipIcUqIZAi3yqyxd8sydJJK0iJNVmcGyWKCyk0hKs2qVSYFslWiELwTgmAWGpyHuBXhwQ4ILSM+GUDiwEgs6fAPYnwBUD+WqQ+
HjK11D9C+hYwe3DMgxZzQ6EKnG/A1TphOtU+SSJVvskxC/41WfVQAvey1Z2IjWcBe9q8imqfJgKc1ZApWkWpoEbWWBO1tWhhQaDNI8UN4JsjuGL1Jw0oB1EYITQmDuEN+AyIG2DauRLq83CNqSkv4wDKUqAN5k7wywjANQTZKYJtyAh9AsBiXRXjXiqH4gahdQhoTwCaEtC2hHQroRWxoEsDFUx9etoU1oHawymMfP7nJwtKA8yafAwLKwkIQ24q
Ye7S9iAkiixIp2ITdPrILD7F8FBMWMMopXXYqDMiVfMWjuyOps19BoFE1OrS7BjBDmC9OwR33zJOC/O3PVsLzxfb89guX7XAqCQdp28AOawQgL0jeAbh4cPtHtMaLwEEDD0x6U9OekvTXpb096XXmnQw4G9yG4XfvP4I+a1EghNJKfhvVI5uDIyYvWnFRzQBBZ6KE9XkrLBmBGQDIGoDmqmyAiPF4RsTXAegFNHFxzRloh7kZlJEq5Xulmd7hJ0j
7kil+DFf7vJxpE1Nigv8FTgQlij/xbhKtG3KyJ04AI8WDRCIlDzZxo8EiIZRQUKOgYV9VBYohBvZzr67M+QseHIgUgmHKivOqo/BoOAayc9++pDHwd6KN7aIqGjZMfqPgn5BiQh2A1Cktln4tQ0u3DVbJl3lgzlAAOnOAAbWs34XZXxu/arvV0P7koT+b2M/rVx3LX9NGFQ5EaiPqGNDmhrQ9oZ0M/4Jxv+W/T8X/0xyjdnGQA78iAOCxgCfhc3Y
lP8KjbH9YBII1WmCNmAsoc8xSGEalHxCZj/m2YiAP8E0D/ByEG4K8MCHoC4BbgZoWdEIGwAwRbgCQYiIWIrF0CQ+xI8sU20rGttqxRNO+gpx7Z0iHWsUWJFFHlC6UB8bTMaAQn7bNEmmJBDmv01M4l8BRkDMccoPGaTjw8FmCUYT33a18pud1WUY3ytQbQ4wBSFcbuPZ6OD1xVzHnjcz54eDtxIXfUYRlHpGjxeKjPoP8FnQXh3wLEDcFaJ/aIjv
0v6f9IBmAygZwMcASDNBndEbp9eZ1WssP3ebM56a4/b5ueKsShia0f7CMQwD8bRj6+kYzuPRzehcJFkxBaic+mTpr1kKu3Ljq7GimxT4piUkSVJLElKpSxDbdVBNLJEyS+GNYqkZ2wT48DgeynDplwgZhTAIRu0logFhyIxJXJekhPCzjphDigy/IvmoKIFrl8RRqlCAOpRBEzjHJzUuooxGBgx5e4Okeiu31XEc9Auvfe9sFL1HV4h+vokftFy+
b3tgxoQ+fuwzfLxkkuQ5XhmkMfFb9AAm82AAZjvfFrBsZX4s/uVyP6UdFG65QCRfzq4Ndb+awJiSxO1BsSOJXEniXxIElCT4J8ORCRdnxkoSRu3AQAaPmAE0JsJNUyAcRlupucwRKPJjpFBTbwVn0/HY8JKRib0S0KP4n9H+gAxAYQM65bKblJgzjTPuwnKaaH3E5zTDS7A2Th2y4Gmoge7FSggAmIIJoZgpBNScMOATUd1QRkFolqFGBrIc8F0s
BokVMmWdhRlk0UdZLFrcJ6E0g8IjpG4QQiOaJPVAG8Cpq0YySqYUwcZTp4cVjKwMZAczyvas9/pPk+9kDPJY293B3lYhl4J3Ghc9xfg3REPngEnjKpCXLMbqXiolCyWZQqsjEKFSg5RUCQuFtKhSGjIQR8QQpFqByKaC3o7nHshK2tIOp4o1lDZDnlsoqcj8RQklhEKSqgtyhNM5iaxPYmcTuJbAXifxI3CCThJbiAVuPKCzklAYUwKZGDHSGjCP
SUwWmFwjBjulB4EI+YSq16rEAACAYNYcNV2HjUdhsBaaqnR8bFBzW1ZXAktXQKrUipVraFFHOLxphY5fcBOQ2hTng9+xGc94e0C+Eiy10C3QES1OBGMoTUcY+jsrSITUweR2wOWesBcR9T/qA0mDhACvCkA4AJwC8F9naA4gOAxcC8PiH0CYBcARoFiB8GAiB8SKk0okVjUkmGzpJP3RaXJPj4sU1pds/kAAlpil40wswExWGmCLKg4eYRJZKmAV
FW4MGAcszkHOulmTbp6CMOQ9KekE9JR0RYnm4zJ4TBesVPQgoXz+haJYoPrBVmBXsrZkVRAMnvhuOuYVzC0OomuSFOSm1TyOEYxEe0CMDahCAPATIMRHl5+0F4txe4k8ReLvFPi3xX4ggH+KPoiMHo0jJh3rmUMSSukaPAZGhlxc9kVU7jNbzDECYIpVCjkm8DBEdAaF2kbSJezTGpQAQdEnAarJyV5KClUAa+Vk3xFB8lFDAt7mH1EnzSNFaM2P
rWOpGrTbZSnfpPDzBggwAiWoO5amEz4tFYkqyJpjMH0hRLeR8g8zsHLL5uLrOVktStXxekgC3pcotoNbk1Dz0hSxQP6V5M74uUelXPTcYFxBkIKwZ2HCGQ2VH4xcGGFvPpSrKvEpckZ5VdLveOrGbYJAgAUdHAALN24yqVtKrLt+KJl/jSZ34oCV7BAmNcF4vC/hYIuQgiKxFEiqRTIrkXEzIAsOL/v13QA0rUcz5VCXzLG4uNMJQsv8uAN+EwLv
kt1Z1uMvlC9wkeDMbqesEIALKfe4JO4g8WeKvEPi2IL4swB+J/EFFxTbZXWxUV7KzZmuaPrJLj51izltIxsStD8wgxIiDMGPBMAmFdj+B+kcnkfmBjkkCFDikyc4pDnjj7pW7YYNagoRMdVk7NChEGulEgiYkx+BZuzRLWqgC5YK5OaSRpi6gC5sKuud5IRWc8y5z7YYCkrGLeD61EAcGcb1w76I3pgY9srDIvFhCHEO88ua/n3kyE5CChJQioTU
IaEtCCAHQmwD0J5Ux5i0YrCykZQNEd18UNFjXjfmqSci08mKNHjihxpuEW8ipGOp7kr5uVfCgRUIoFXiLJF0i2RfItHncA1QowH9QEV/Wq1Wi4rTIYvMom6Uc8oVApL4QDYeCFhhyHqssKAUatQF2rcBdsMmpQK9hsCyAPAtto4EThaBW1mgrwIFIqaYwM6bMBzUTBtIFBYvFTRppgxS17NP+VgTxQDKMlM1P8cRKokID4xCaY1NHlqqGrcAKNDh
crMWU7ple0JWEvCURLIlUSuAdEpiWxIGzix73aaSSIJHmzr6xy5adbMT7rSPSxkNMvChM2nsy85iuaPkNTmbJ4omeagg0QTVXT5KN0tdimvcVpqCqPYmmOvJ822VRg+a4GAQRFbBbL2FapJP/QtznTol2DOFWuNLkJL/JSSryuAOrntra5TlXwa80bkfMzeuK4IW3JVnrDR1XcyIXUjvVrAjyM608vOovJLqrya6g/BRuobGUWtNiikkBoySGa91
4SjOWnLAEpaJq16krbvIpaTr9uh3Hlk/xf4rrLu13W7vdxvmpCDFhBT0jYMYyUxANB6heWMLlCQqs+/8MzQvX/mLD4NpyRDasMRVFbNh0CxFZAtGpbCTWPyeakcMhT4bUUKCoNucNRRRQjK3m3zevP80XDAt0eYLSKwtpBtWNaqvCeUAIk3UEBsYWMTyXo7QU6CR+FnEJosiibM2e3CADwBgC4ARgTjFiEsQSAcA3izgC8BQAKWPEWwLER1dW0JE
7KyxbqtRawKrGaLvVpynRecrpF5J1QLOHaYPCF0QiGaEtCEawmMqAxDI/cRzd8qTW/K0i0ZcOYCvFF0I7JhRXxY5OtwK0OxStSKH00b4UablNlTyZ2ri2Irm1WorsG2utppLhe7GutKpURFGB2gmETAPgFIDixFwxSp2pqkDrB1Q64dSOtHVjrx1E6vUsKUBQKmejUFmWnDu0vlBxRAheWs8QVsHq4SklQyh6RPW4APKeNyO7SHQVYS2UhN+siUr
zmx2DSXdbuj3V7vp3PcmB6m1RaprxqHLCanOladzr9USguwcUehHGCsELQh926hmjTB8JytjU2eZhUwL5Fy7nNLi1zRZP+XK7HpQK/NaCsb4rIVOHdLhKboy23sS5FuhLQFxpKoqO+3ag8ZFyPE4rCOeKtPZeN7JErbxKMh8aOS36ABUCcAAHQ3SvQBf6CZzsJcnIxZWn8ADm5CmcBJ9igS1geOgnUTpJ1k6KdVOjgDTuYB06bykqmcn/p5kpd+Z
3dL8m42FlsbIBFCurjnraBHt89M9ArMQRBg5Fp9VwVhWjhNU46cQhEVoHmBNBsBpgkgBGHmHwBQB8BUAe4B8FaDQCYQgnTTWppNlMD9lWm8ppbM4H31u9EAWaGzmdyRRh8O6yKGgPbAgI1Q4ur2VLqKxzBDJ4WL5U4vn3Jql9SujxTZLV3eL/4mukAdrr1266bhBurRLpGMp+bypHnIubFriXtlLdAU7UUFN1EIL0lkAijtwu1CYAngHwGAHkqhA
+6bR6AbOrnXzqF1i6pdcupXWrrscGl/GPXjHs+1N0fRPahPXpB1DdK79vzaqUQcNHZ7GpCYuhnQqoMcVoeITBNEJuvLl716cMmI3EYSNJH69X3cSa6tNms6DlnqjnScs73cCed/qiKNHjyLaRpBVqDYwFj8zEJiCvcZhG7msqy6LDwzFzVZxsMebnp6+uccbzGCCEFWbfTzgEcP1Nrj9ffcI+foxU9qr92Kmo/lrqPtzCViM5/Yv0WkUr0An+wAC
0zP+iAJCf/0PYyuv41cgBNAM1dwDHKyA1yrWCsH2DnB7g7wf4OCHhDoh9mVYzWCwnsDAAxVRhIIOqqM9gysWfDuoM6rVQEPD5SwtY7rAxDVwJWZXu4UB0g6IdMOhHSjox046CdJOqMaNnKKCmzeyQ63pmNHLKRVspQw2J70tRaYqc8BDnncnrMRBc0ONL/Q1DfyUxxehdoaFn3HH32IzM45uzx7pYlkUee+UslEoo9Zg+asBFFD22+FXqOea47LA
hEaglk9VPfYbWeOAzXjI2pLTbs/ZoripmKkKlD1+Op7/jhWkAqS1K2UstGOjMGhDShow04aCNJGiJsW3rq5QzCXJMPqIQMbX5229FFTHiiFIgYVRpov1rfbFD583cveb3IXgwHCdQgYnZ+FJ3k7Kd1O2nQ1sMpCCJkkRGs8Bp22klDITZYyusm33Ha4NqrM7cAoGo0krtqG27ehvu03aoBT2w4UL2OHvbThXo17aigdNJJNIzp106sgoIenwEC0b
0x0F9OkKGjRR/YUROBGaQC5bR7uPyWIQHNUxrCyEuPCx3T9ER6RvOgXSLrtAS6ZdZgBXSro10VNcpl7tIfoFn1MLfRNvRwPkn1jFOvOjU3ok1Danh9Eau6lHlhQdBKYGoRuXGiOMjiflSgu6e5rtPOd4gseMwWMH4tGQ3ZkAJOWbkhFJsypsa+6qEuoypgVO0RDmnWv30NrzmR+vyZqJCOtqwjqS0GXGa+PZaypQl+hrfr+O8mAWxWjsxmbG0MBs
zejAxvmZMZFnxzvAMs8OxBiVmNk+6jIVfjjCUxv557fJLqATRXr0zkZidd2axNsGODbALgzwf0B8GBDTwIQyIbEP8JUhaoF0xlalldKL8tZqqkQgvWCEuEIMNy8QlXNLCNzSGy7WAow0QL9zurB7UecuA4aXteG88wRrOFEawA8tH9XxYEuCWG0ol+PExopi/z+tEOxgi5HACwx1gcAOAIiE0SL5oAEYdIGsDNgxgugDAU0RQHsTWnuaJwfawda2
D1cRAWCPMIcH0CIhF2xkpzcdZAipVzrO1046HOX1h5brp186+LAkNbKjrHEO654nOuXWmdFhN6/dbSCA3cL31ja79fetpAng7OxUyDf+tpBHiHe5iojapYfWF+ZKk0ujbOtpBxYj+oE1DZOug3fgUjFE0YgQCl0frJNpGxdeqsHm1RkAaG6TfuB1XjWjV/IBiGwDYh4QydaMcZBmbz1+ShkZhdzd5v4AJI0YjU9tJWRqTvZ7Uja0YGiv6BXBDAAg
AXGNzqhicuN863DbUvzdBwR1l0CQGvFxcr2JACLHXHsSmgF4loI0O0AdsO3I66IbOMoDrDyKgy9wXYN7e9su2dbLN2bEqhRv2xOAJ+yAhAHA4IAzAwgZgLOjjjEAzbkVeFQgGzgjw44pQspPDheJaJcDzNogGPLzsQB4cK1xxuhP1QZwJuCqguDrbsCfh/hzAYEPDjgDvg2AKwNm7gBzuMQcc4AWiDXjhDhAZEZGHsEAA===
```
%%

Binary file not shown.

After

Width:  |  Height:  |  Size: 52 KiB

View File

@@ -0,0 +1,147 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
인생목표 ^yeEZslyx
소중한사람 ^yseN0NID
일 ^qLmTEj2f
건강 ^zCQcFfhR
가족 ^s7SWXprf
친구 ^ieH70Zna
동료 ^mNVGLMAZ
업무 ^9z8i2ntP
개인 ^Id3kwtuV
정신 ^z9KxlrFt
신체 ^8xRJy8i1
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebTiAFho6IIR9BA4oZm4AbXAwUDAi6HhxdEDsKI5lYOSiyEYWdi40AEYATn5ixtZOADlOMW4eADYRgAYAZgBWVrmuyEIOYixu
CFxJuuLCZgARVKgEYm4AMwIwhYgSNbYADQBRSYAlAHZxzAApPv0AFWUANRgtwAyhRbgBVVpbSAnQj4fDA2C1CSCDzQiDMKCkNgAawQAHUSOphpdMdi8YiYMj0KjrpdsX5JBxwtk2pc2HBcNg1DBuK1xuNLtYamVBflIJhuM5+dNtC9ppdeWhnC8Rtp2jx2iMABzy0lY3EIADCbHwbFIawAxK0EDabejNFyccoGcsTWaLRIsdZmJzApl0RQiZI+br
LpIEIRlNI+TwFeKMQgjnz2tqOu0pnqEy7hHAAJLEVmoHIAXUuJ3I6QL3A4Qnh9OEy2ZzCLhXqJUQ3Em4oAvpdNI3iPdgulMkW8vUCuLirBO16sFBodtjhIYAh7gAtZj4GCS6d96dt9vXCTTIwvAAyAEV2q9nLg80ZMABHSYbgCyACsRkbeQsZ6Uay4KQ2JUPu/5Hsuax9Bu2oULsFD4MQ7TYNgF7aleADShD4phPAAJoAApLpAs5lOsIFsGBk4Hp
OkGLCu6BPIQACCJzYEIFBCDiF74LsUAsZg7R9CxLEIPhJEduRwGgRA+7imWCZCHAxC4IcjGtC8PA8Nq0zjAkOojNMCSXEQHA4jWdb4KZbDYHijFnPgYT5LRU7tmRayHJgi6XD0zQpr5TC9BwAwcEMaCTC8Wrajw4wjJMlxLCskoSLgSSJXsBzJmgjkXAmJ7oGum7bru6KwvClLUhipp0gmZKGoSxDEmgfB1QaFJIuRtLHA2jLNkWrTspy3KwHyAp
CtU1Jiu2KWoM40xxHGipSqM6qajqWbtvVeLuuaVp2raSD9k6OZCG6pp7V65AcL6wEZD5CZBk1IZoNq03FBGUYxi18ZbUmGmtLqCTjLF2qdNmDL5oWuSKe2Fa4FWjG1vWCausQ/WWSj7YDmdQ4jvd46w8UymqepfJaQkPAJNqkwJG8CQJQmZkWWgyPWUztn2ac5wIOWnBQMChBGGUsV85kABiCNwkqqCDQmXmLhIgAe44AuwOAJVdgA6K+i5AUD8C
5rKrmvogrLFEMoLToGImRMOijRQOYBCm1GFsQPoJDELUlx6JkuBLEw1YSHcjyvO8Xy/ACQKghCULsqQUZLAQeveQb6ta0KQhQGwTzhELZRYkIvNM37AASkbRorsvxNMLldEeUlAZRVCBU0nB8vyzfBaF4Wy9MNMZmM4wvIlyyrKl0zojs+zBGTOU84ljEQGel43neD5Pq+H7fr+ZVwginVrN16LbQSwYkm15IIJVXU1T1qPCNGGNsgmHJcjyY3vZ
AwpTZcs3SuM7Ryl+sUGW0pZQamiptYox9dqenQNaQ69pjp2VOudD0nlrq3X9A9dsT1mq8BeHKBI7RiEkNIdqbUIxwxl2+qgcY2giGkMYcQhmrRKF1X+uTaYkwMxcKAZAU6UNCblkrAgAOqA2a9SbCybgkF64tV7P2Qcw40gExhpcEmalsqywplTGKWo3h8IgMzTG7N2xmjslo3KhctpRFIFAAAQklJYygZHTgwPjTIYiIBB2eG8T43w/iAhBGCSE
S4IDKFwHAbgCRtACjifE+JrQTJuJOLZIQRZnB0IFMDAUOlB48CSbMVhLwFEJgyMQRxyxnGuMnO4lRniF5uxxKQdo4s+i+HzB8Yg4IEDF2cNqKI2AwkRKia9QBCSElzGSbU1JHEix0MBgkXu2olmaTeu0SY/9q71FcpAfAoQoAmn0G7GQRxCJsCWBXCRbVgICUbhGXASMrKXHKSxe5IQF4ySouiOAFyxy5GnBOScH8ijjGnETIoQL6jOB4AQl4DCm
HEPIWwycYBMn0MRYwlhIxwUKRrvkOuHkJAVCqCKW2QV/JtFhR3ZoXcyhJJ4JsgUIxNLD2SkBEYE9MrT0sXPfKjTCDNNae05SeYuk9L6QMrkO8Kr7xRDfI+7UT7PTPjYi+V8D4Kt6g/aRT92wvxGjLfkH91iTVFD/Fa7RWhV2WsqCh8RqYsqMvqC+MD9oIKOgmR0yC0Zuquj6P091AynzaEsqhX0K5zEMWELR0xlmtC4cQy4AiCxCITPDRGJjJHo1
1agWRRLUDdh2Yo3GyjRxZABXRacpFALzmTv+BiawYBhD6OMPoeZdhyRohBatVwF7AmLrcPoF5i4ZnGOCTAtxnwsW1AAcRGPiNgLx/iSQLRRWS4FDy9oKkYp44IcR5ieK0H4vErz4A+O0YuFAYBsD6M+LgDa5HoC+dRYtW7UV9rWGIOAQhPwnHBPcYEV5PxwhYkYWQOJJBGHwKu2tz7G5drfVWj9O6l7XlvC8e8j4Xxvi/D+P8va10vsQ0UHsCl1E
qU0RpLSOk9JRTTC8bUpklgs3Ec8jmFiHI83xUUQlcHoD6xpa3CKKLugUv6IMelAp4VzH0nLY8I9ZrrBGCujKU8EAz1QFY+eTaW1to7TKveVJr5ohdQ1ENvAzMdWM5q0zd8+q5vk8UA1b82jjQTF/c1CZf6jG1IA21c0EjWt0U66NSq/VwIOogr1J1fUXVgdADBgaAyXFwS9WW7n2yfXLsMaNHC2hpgoe0LhMxk2Q1TWo9NIixHXPbGjR+bGsbFBx
ssMtqi0Clgo6TLRmkqa6NpvTRmZiWNZo41zWeTlrHFFSZkQWwthgmpm1ASWbsdx8kuArNYgAYwcAIiTgAdVcADUDgAY9u1pQJOFcIC7cOydjbC4nbmy/fdG2zd7buHuy7N2xAPaevbN7KIftSBeKaS0tpHSxXdN6f0wZ6JzTxw4InfWEgrvHfRLgDOWcc7zbQPnKbeyS7UMjVXHjbkAJzng7JITFtaaiYaOJkKknuBaRGC8fkOkh75UU0BbUXL1O
ae0/y6CsF4KIWQqhdCWEcJ4SIoZjV8q7NqvMyqlqVnL5yppFq+zOqWzrefsNVzGWTWee4Ca3+cx1RTBpjqaYIw6a8KYwmEBaZtDxRWe0FhhW1kq4ixAeBB0HSxcHN770N1kvYOKGl4Y2hWiTBGJqWKmkknM4ZuzrLBPhgEIFHpLP4xs9ENJPl2WGyEjA2pv/MruYKsdYhRADNoinlNcgPV3N+a4M8FKdjJRHiK1V661R8mfXqbrTeK1Yb5lRtmM5
ryyb+pbmVMcNUGp7ZUjlq8T4kO/jw5BKjqE/84TInRLlOMchcUPcMaTSktJ8zYnTHlIy4ytHNI37b0h4o5S5/VNZuxsxByjknPUucy5cfKBWxO5UCB5evUxV/ZYN5MAj5BuCnBMX5S5ccQFatEFMAMFScCFMAKFIoGFKPGPOPcYBPAyeFSKBtGFDPHPag7PPSIhXFeoEsYnPjMnCAElI3SnYYHSSnOlcmN3ILSYDoNlUeZ9doHnLKLjafAXCQegf
AZ8D4fCYuYuQgW4ZgCgBANgZgUuC8AcexegGXNXaqeXYAi+RqPBEfEww0WXdXYwxve+JkRzIaV+UaNzQ3M1Y3C1ZUVUWJEGKKSmWPAI1lB3FaEGbQTZBaHSYGDMDMGmL3eLd1P3JBZ0OLNBf1EPO6FLR6CzVoTUWJaI/+Ao/IlPD6NPV6PzXuCo3SKoiomnRMLRF4GYFnN4doYo/hcraGHvKrBGOvIAuw3GBrFvMnItUjEtVrLvFA5DWpNdTbR9H
dZ8C8X4e4T8HgE4EjMAXZEnY8ftQdYdUdAUCdKdGdedRdZdWDVg4jTdSYrYtYd8cYTCPofEAAeU0HwHGAAH0DRJg5A3iEh9hwQzjpIENLj6h6JP0JB3xNBxghBgRmAhB2h8A3jWh8QhBdhHQNwEArwWJcAAT4Dvl5JGDe9NNetaMj9tJGMLC8cx9P8G8jFJ9JDnIRiCV5Z+MZiEw/JhNZZYi2S6deC2g5gKEBtz8FN2VUp2hVN8puUNMp88priJB
5jFjljVjyxd5rCjDaoFc8QzD0sKSMQlVVTD5tUHDtc9VnM9cXCDcJoyU0ATcVprUlkGjuEmiE94pDEQFNI6FZhtJiE5gnUE1ajoF4iJBfdDp/cfVA9Az0Bg9MEg1UsLNRYExssaElp2EetAZo8Witly9RUOjixq9a8asv9igm9jTGtIDIAWs8Z6lu9czCSesdFqYBt9IhtihjFqSyzaTONuYpC4Z+Y5sRZFt+YVtpYdd3JEd0BAAfcdO11jHIgEn
Nu28ne0e2tgtBewdnwEXIkE+2+3RD+19mZEBwXlkPkMUOUNUPUM0O0N0P0NjjhwR2TgkDnI83R2zlYCx1QBx2Y2ZFLgjT5CJ0ZN42ZPOIQ04LQHih4IZwikEKSVtyc0WE51SnsXEJ5XpNxzBKYlYnYk4m4l4n4kEmElEnEgMJszl3VMsM1LjJV31I1zq3sIa1gu8TNKNUy2KCN2tM8NQDBjyMKO4o1FqJASpjCKMlVHpmMmMm4WmTIuNAjJ9yix+
2awD1xiDySwyLD0gAjxE3VEENPzTJimL3DRyzaG0GmHyJMoKMMnzx60HgzCikmHIIhgrxzM6y6MzTbOzQGLcQLWf3/Oa07yrLTXbA0SJPrL0WZxBk/NY1qxbLpK7JlOANnycQXzQFkWX3ulXweF8VDgCQjmCWjmGX3zQAIRWR4sKNGAkum0vylDoQKSIRZySRmFYSMhtxKRf0gDfwSpcVcqZh/wMD/zOT+SuULIEBAJgKonAN6IwGgPeUeVxKbkQ
P6omPqFwIwIbUwIJNQNRRj00p0u2t0rKqKGtWMuKvyMMgYKKCYO8pYPInYPcJAtQGdW5JbnpzCnpTTC1AmAWnoqShEPWCNCQqlJQp0xkPBGwCeE/A4C0iNB4GBHNkwnxH+HsUwnsTzE/CIqqgNPPkV3MMosMPRpoocxLPopc3NONUtO/m8z5Fsu0BWTei0h4sZQCz/kWk2UYySW4peFaN1NdWkuDOi2xgUtQUukjOUqwWDSV1QFTCj20u0tqMTMj
QMkEpj0VvimVsmB1JjQ0l7i0gWht3BnbBTUcrzOqwgLcubw8rg2GPWNGMrPLQWoAo/WmME23QXiMCNCvGwHFhOEkCeDWI2NBJ3UECNFnW1HuE0FnU/GLnFnFmIFuG1HwmmD6FwBeFuBxNSiBO7XfVqR3XFn+CeAvHoA3FnQ+CEnxBOCgHSU0HoD6F2HkJTvJzxJonIyUkoyCu0l0iPxyOMt1pbJG06on07ImwZMtqZPchZMdvbHZItipnAuetjCt
S4S0iCOFO+twE7TUwkJitQp3Rdrdo9q9tRpM1IqGtMIooxuszRuoqLNoscN12cKYrcKtNoXYtYTiA2TBjTB2ubMgBASCyMupi1FVthUAZZTiNSMiw9VDOSPDNAcSwDRUtFrwWBn0qTLyy0SMkZWIQ2izMEUqzhiNvGuLKLEivLN8ptpweJmbrrIHxpjpn0jKqMR7tLJsn7q0z5R7Nm1zgWzFmWyljWxNNIhnMABcawAVBqpzzs1hhHjY7szYXYrZ
DgVyHrXtHZpG1gtzPYExdyAcvF6BgbQbwaeBIboaOBYb4bEbkaYc45/A7yLsJH05M4XyOHsdSAC5PzelSjK44xmDALASEDx66dGdAZp7u4aMZhYUuSl6lNcBi4/q+dWGoIJAB0h0R0x0Djp050F0l1xS4YVScaL6j7MbtTsbiKbDD62Cr6CanDDV35SavMZoVojIo840CkWdrcBsdSQEMxnc3oGYDJtK6GAzoGea5Lyz+biAlLYGRbYyxaGZncuF
GV/DGNitiCZa3GJh1QFpbKJg4pRgtQUHGJdKY8GYrUsHK8aznKeje7L7+jTapjW928fLS1xiyHIBArKHKZB99EklwrxrzFxsWHuy4q7F39Eq803EUqGkVHBUQcRVOkIdJVodd8RkD93cdq0zP6YQKrlQsles5hYoFoKZllYU7nWrlggWOqQXakwWoAvFNAsR7FS6NwjR/hi4NxMB7E3iEB/gWJphMJ/hb5alEWxlyEhXhWRWad0W5lKrCE41GMWd
UwDJ/5tQiWjFurjk1B/9+rxrMRbkRqKAxqLniXiAdW9W67Zr2wkD/kOt1rgUVrwV/wlrnBpmjJVbaZRgFm9JWEKDVnitGUY9mVtmjJTqwBzqh67bScrqEBKgOCHrgouwb9An+zXXNJ2bDEvqIm8xonpTN6F4aXSA6WoAGWmWWW2WOWuWeW+Xptsmim1Ty28nyKxa1a9ScnbDSn8aBoKn9cSaPN3C2LyblQgs1RGNdK3d9IR3o8GbAYAFYV5R2buE
37UwwsuaBnZKIGUFRnpKozQ94H0tiEuLTKiikGK4JgLKNIDJZg0w4pP7wl2j/Lps8H9WW2pESzBiygLbdkIAKy2sLXiwM6R7WDWSUMF5mAXhgR8Rbg4BSBVjgTQ3ZT0AEndjknJ1UnjiMna71166dlG6AqKHqMqGh8x2i4qTGGxtM3PHf3yJ/2xNHquxuDo3aUILC8PrmchCOcRTn0PgM2AbpCaRgPQPwOlT01K3z7m3j4tTVVJKqLm2GQtc22b7
KnXDqmPDe25pJhdQHVYU3dqjdI+KpQE85Rk2Z3UxDPdIQHBaZLwGkjV2xn0iJmsipmTVZbctj3olmcxg4w7K9br2nma872iO8bH3CHBr32SH2tTmsPuscO3nqH6Y6HWzfOormH+c2GBYHHeAByJYeGjV5yLtAAAGsAEcJ0RmcvLyRhc5RiQWR57BRtcjc9AVRoZiADR/c6l2l+lxl5l1l9lzl7l3l8x28/AMRiQIr2xjHV8vOJx1CsyVxn8wyjxi
6rxtYa6slW69M+N8mJlHSdB4QiJzCDjjewG8oW4IwIx/4fEKmW4fEXQo0d8C8IwCgR4iSZU2VKt3GyS0T5XU+1XJ73Jlt6Tkc002+qprth+m0iKWUOmGKMGQBrSeFN3BmwQyYKmkhVW4rJZFHkzhLQZldlI0zjduByZvBDpvdniy9hztAG/Z3YgrSVMRlWPeFJztoQQ0K0grutohym9mEHzohh9nNJ9s2oYpVj9x5y1q4sNzyMezOheAsSYHECgM
uldKDzYuJ9ACEqEmEuEhEpElEtEjErE1Di4hutasLvvNoYKvDwxWLznn5kj2bsj0X+tWjjkmKFb0NKKZH5M8JoCC8HbgerNtYSX6X2X/e2zEpkTk+jUj7oTkpqTo0mT/VRigH9sVix+pTr11WqLyH9aBmzUAhTuk/fSWFQQ2n9773DHizrHhLHHmznBCzRBhMtxt3qBAvOYeq2POmS9/Wtn7z7ogsmkgh8agXvyrzl5iL/rGhvSgjiKwLy3zjpLv
szh9NQcjL37/h+89AQAHBqlYCuV+IB1/iuBJSvLYnt5HfG7Eqv9/XZ3Y1Hft+Y9z/YF5SADujuTuEgzuLurubu7uevLG+uZyd+hv7G3yPyBHSbgZXcbbIQ2mxJ9Gh1NaUcY2EUKevbyerdxjKVMKNKVhY7L13wXvP5rFUbQSB8Ae6A9EehPT4Az0F6K9DejvQPoBOj3CPjW05r5MxOtbcPgfToFR86K7bYmsxU/jdsk+tTZUHHirgTIEk2nZUAmj
CKMZSStGamKwjDBF9uay7UvlA2x7C0YytncwtahZSqhIoUwHQQXwPa/kqYbwKNJTCmDFZ4U/pAvL3H5Ax4SExzA2sIi77G17M/nRfCL3kQtUguDzAfp0UN4t1IueHDmub0n7RVveM+QFu1VcGtUu8QOSFsKjBzipIcUqIZAi3yqyxd8sydJJK0iJNVmcGyWKCyk0hKs2qVSYFslWiELwTgmAWGpyHuBXhwQ4ILSM+GUDiwEgs6fAPYnwBUD+WqQ+
HjK11D9C+hYwe3DMgxZzQ6EKnG/A1TphOtU+SSJVvskxC/41WfVQAvey1Z2IjWcBe9q8imqfJgKc1ZApWkWpoEbWWBO1tWhhQaDNI8UN4JsjuGL1Jw0oB1EYITQmDuEN+AyIG2DauRLq83CNqSkv4wDKUqAN5k7wywjANQTZKYJtyAh9AsBiXRXjXiqH4gahdQhoTwCaEtC2hHQroRWxoEsDFUx9etoU1oHawymMfP7nJwtKA8yafAwLKwkIQ24q
Ye7S9iAkiixIp2ITdPrILD7F8FBMWMMopXXYqDMiVfMWjuyOps19BoFE1OrS7BjBDmC9OwR33zJOC/O3PVsLzxfb89guX7XAqCQdp28AOawQgL0jeAbh4cPtHtMaLwEEDD0x6U9OekvTXpb096XXmnQw4G9yG4XfvP4I+a1EghNJKfhvVI5uDIyYvWnFRzQBBZ6KE9XkrLBmBGQDIGoDmqmyAiPF4RsTXAegFNHFxzRloh7kZlJEq5Xulmd7hJ0j
7kil+DFf7vJxpE1Nigv8FTgQlij/xbhKtG3KyJ04AI8WDRCIlDzZxo8EiIZRQUKOgYV9VBYohBvZzr67M+QseHIgUgmHKivOqo/BoOAayc9++pDHwd6KN7aIqGjZMfqPgn5BiQh2A1Cktln4tQ0u3DVbJl3lgzlAAOnOAAbWs34XZXxu/arvV0P7koT+b2M/rVx3LX9NGFQ5EaiPqGNDmhrQ9oZ0M/4Jxv+W/T8X/0xyjdnGQA78iAOCxgCfhc3Y
lP8KjbH9YBII1WmCNmAsoc8xSGEalHxCZj/m2YiAP8E0D/ByEG4K8MCHoC4BbgZoWdEIGwAwRbgCQYiIWIrF0CQ+xI8sU20rGttqxRNO+gpx7Z0iHWsUWJFFHlC6UB8bTMaAQn7bNEmmJBDmv01M4l8BRkDMccoPGaTjw8FmCUYT33a18pud1WUY3ytQbQ4wBSFcbuPZ6OD1xVzHnjcz54eDtxIXfUYRlHpGjxeKjPoP8FnQXh3wLEDcFaJ/aIjv
0v6f9IBmAygZwMcASDNBndEbp9eZ1WssP3ebM56a4/b5ueKsShia0f7CMQwD8bRj6+kYzuPRzehcJFkxBaic+mTpr1kKu3Ljq7GimxT4piUkSVJLElKpSxDbdVBNLJEyS+GNYqkZ2wT48DgeynDplwgZhTAIRu0logFhyIxJXJekhPCzjphDigy/IvmoKIFrl8RRqlCAOpRBEzjHJzUuooxGBgx5e4Okeiu31XEc9Auvfe9sFL1HV4h+vokftFy+
b3tgxoQ+fuwzfLxkkuQ5XhmkMfFb9AAm82AAZjvfFrBsZX4s/uVyP6UdFG65QCRfzq4Ndb+awJiSxO1BsSOJXEniXxIElCT4J8ORCRdnxkoSRu3AQAaPmAE0JsJNUyAcRlupucwRKPJjpFBTbwVn0/HY8JKRib0S0KP4n9H+gAxAYQM65bKblJgzjTPuwnKaaH3E5zTDS7A2Th2y4Gmoge7FSggAmIIJoZgpBNScMOATUd1QRkFolqFGBrIc8F0s
BokVMmWdhRlk0UdZLFrcJ6E0g8IjpG4QQiOaJPVAG8Cpq0YySqYUwcZTp4cVjKwMZAczyvas9/pPk+9kDPJY293B3lYhl4J3Ghc9xfg3REPngEnjKpCXLMbqXiolCyWZQqsjEKFSg5RUCQuFtKhSGjIQR8QQpFqByKaC3o7nHshK2tIOp4o1lDZDnlsoqcj8RQklhEKSqgtyhNM5iaxPYmcTuJbAXifxI3CCThJbiAVuPKCzklAYUwKZGDHSGjCP
SUwWmFwjBjulB4EI+YSq16rEAACAYNYcNV2HjUdhsBaaqnR8bFBzW1ZXAktXQKrUipVraFFHOLxphY5fcBOQ2hTng9+xGc94e0C+Eiy10C3QES1OBGMoTUcY+jsrSITUweR2wOWesBcR9T/qA0mDhACvCkA4AJwC8F9naA4gOAxcC8PiH0CYBcARoFiB8GAiB8SKk0okVjUkmGzpJP3RaXJPj4sU1pds/kAAlpil40wswExWGmCLKg4eYRJZKmAV
FW4MGAcszkHOulmTbp6CMOQ9KekE9JR0RYnm4zJ4TBesVPQgoXz+haJYoPrBVmBXsrZkVRAMnvhuOuYVzC0OomuSFOSm1TyOEYxEe0CMDahCAPATIMRHl5+0F4txe4k8ReLvFPi3xX4ggH+KPoiMHo0jJh3rmUMSSukaPAZGhlxc9kVU7jNbzDECYIpVCjkm8DBEdAaF2kbSJezTGpQAQdEnAarJyV5KClUAa+Vk3xFB8lFDAt7mH1EnzSNFaM2P
rWOpGrTbZSnfpPDzBggwAiWoO5amEz4tFYkqyJpjMH0hRLeR8g8zsHLL5uLrOVktStXxekgC3pcotoNbk1Dz0hSxQP6V5M74uUelXPTcYFxBkIKwZ2HCGQ2VH4xcGGFvPpSrKvEpckZ5VdLveOrGbYJAgAUdHAALN24yqVtKrLt+KJl/jSZ34oCV7BAmNcF4vC/hYIuQgiKxFEiqRTIrkXEzIAsOL/v13QA0rUcz5VCXzLG4uNMJQsv8uAN+EwLv
kt1Z1uMvlC9wkeDMbqesEIALKfe4JO4g8WeKvEPi2IL4swB+J/EFFxTbZXWxUV7KzZmuaPrJLj51izltIxsStD8wgxIiDMGPBMAmFdj+B+kcnkfmBjkkCFDikyc4pDnjj7pW7YYNagoRMdVk7NChEGulEgiYkx+BZuzRLWqgC5YK5OaSRpi6gC5sKuud5IRWc8y5z7YYCkrGLeD61EAcGcb1w76I3pgY9srDIvFhCHEO88ua/n3kyE5CChJQioTU
IaEtCCAHQmwD0J5Ux5i0YrCykZQNEd18UNFjXjfmqSci08mKNHjihxpuEW8ipGOp7kr5uVfCgRUIoFXiLJF0i2RfItHncA1QowH9QEV/Wq1Wi4rTIYvMom6Uc8oVApL4QDYeCFhhyHqssKAUatQF2rcBdsMmpQK9hsCyAPAtto4EThaBW1mgrwIFIqaYwM6bMBzUTBtIFBYvFTRppgxS17NP+VgTxQDKMlM1P8cRKokID4xCaY1NHlqqGrcAKNDh
crMWU7ple0JWEvCURLIlUSuAdEpiWxIGzix73aaSSIJHmzr6xy5adbMT7rSPSxkNMvChM2nsy85iuaPkNTmbJ4omeagg0QTVXT5KN0tdimvcVpqCqPYmmOvJ822VRg+a4GAQRFbBbL2FapJP/QtznTol2DOFWuNLkJL/JSSryuAOrntra5TlXwa80bkfMzeuK4IW3JVnrDR1XcyIXUjvVrAjyM608vOovJLqrya6g/BRuobGUWtNiikkBoySGa91
4SjOWnLAEpaJq16krbvIpaTr9uh3Hlk/xf4rrLu13W7vdxvmpCDFhBT0jYMYyUxANB6heWMLlCQqs+/8MzQvX/mLD4NpyRDasMRVFbNh0CxFZAtGpbCTWPyeakcMhT4bUUKCoNucNRRRQjK3m3zevP80XDAt0eYLSKwtpBtWNaqvCeUAIk3UEBsYWMTyXo7QU6CR+FnEJosiibM2e3CADwBgC4ARgTjFiEsQSAcA3izgC8BQAKWPEWwLER1dW0JE
7KyxbqtRawKrGaLvVpynRecrpF5J1QLOHaYPCF0QiGaEtCEawmMqAxDI/cRzd8qTW/K0i0ZcOYCvFF0I7JhRXxY5OtwK0OxStSKH00b4UablNlTyZ2ri2Irm1WorsG2utppLhe7GutKpURFGB2gmETAPgFIDixFwxSp2pqkDrB1Q64dSOtHVjrx1E6vUsKUBQKmejUFmWnDu0vlBxRAheWs8QVsHq4SklQyh6RPW4APKeNyO7SHQVYS2UhN+siUr
zmx2DSXdbuj3V7vp3PcmB6m1RaprxqHLCanOladzr9USguwcUehHGCsELQh926hmjTB8JytjU2eZhUwL5Fy7nNLi1zRZP+XK7HpQK/NaCsb4rIVOHdLhKboy23sS5FuhLQFxpKoqO+3ag8ZFyPE4rCOeKtPZeN7JErbxKMh8aOS36ABUCcAAHQ3SvQBf6CZzsJcnIxZWn8ADm5CmcBJ9igS1geOgnUTpJ1k6KdVOjgDTuYB06bykqmcn/p5kpd+Z
3dL8m42FlsbIBFCurjnraBHt89M9ArMQRBg5Fp9VwVhWjhNU46cQhEVoHmBNBsBpgkgBGHmHwBQB8BUAe4B8FaDQCYQgnTTWppNlMD9lWm8ppbM4H31u9EAWaGzmdyRRh8O6yKGgPbAgI1Q4ur2VLqKxzBDJ4WL5U4vn3Jql9SujxTZLV3eL/4mukAdrr1266bhBurRLpGMp+bypHnIubFriXtlLdAU7UUFN1EIL0lkAijtwu1CYAngHwGAHkqhA
+6bR6AbOrnXzqF1i6pdcupXWrrscGl/GPXjHs+1N0fRPahPXpB1DdK79vzaqUQcNHZ7GpCYuhnQqoMcVoeITBNEJuvLl716cMmI3EYSNJH69X3cSa6tNms6DlnqjnScs73cCed/qiKNHjyLaRpBVqDYwFj8zEJiCvcZhG7msqy6LDwzFzVZxsMebnp6+uccbzGCCEFWbfTzgEcP1Nrj9ffcI+foxU9qr92Kmo/lrqPtzCViM5/Yv0WkUr0An+wAC
0zP+iAJCf/0PYyuv41cgBNAM1dwDHKyA1yrWCsH2DnB7g7wf4OCHhDoh9mVYzWCwnsDAAxVRhIIOqqM9gysWfDuoM6rVQEPD5SwtY7rAxDVwJWZXu4UB0g6IdMOhHSjox046CdJOqMaNnKKCmzeyQ63pmNHLKRVspQw2J70tRaYqc8BDnncnrMRBc0ONL/Q1DfyUxxehdoaFn3HH32IzM45uzx7pYlkUee+UslEoo9Zg+asBFFD22+FXqOea47LA
hEaglk9VPfYbWeOAzXjI2pLTbs/ZoripmKkKlD1+Op7/jhWkAqS1K2UstGOjMGhDShow04aCNJGiJsW3rq5QzCXJMPqIQMbX5229FFTHiiFIgYVRpov1rfbFD583cveb3IXgwHCdQgYnZ+FJ3k7Kd1O2nQ1sMpCCJkkRGs8Bp22klDITZYyusm33Ha4NqrM7cAoGo0krtqG27ehvu03aoBT2w4UL2OHvbThXo17aigdNJJNIzp106sgoIenwEC0b
0x0F9OkKGjRR/YUROBGaQC5bR7uPyWIQHNUxrCyEuPCx3T9ER6RvOgXSLrtAS6ZdZgBXSro10VNcpl7tIfoFn1MLfRNvRwPkn1jFOvOjU3ok1Danh9Eau6lHlhQdBKYGoRuXGiOMjiflSgu6e5rtPOd4gseMwWMH4tGQ3ZkAJOWbkhFJsypsa+6qEuoypgVO0RDmnWv30NrzmR+vyZqJCOtqwjqS0GXGa+PZaypQl+hrfr+O8mAWxWjsxmbG0MBs
zejAxvmZMZFnxzvAMs8OxBiVmNk+6jIVfjjCUxv557fJLqATRXr0zkZidd2axNsGODbALgzwf0B8GBDTwIQyIbEP8JUhaoF0xlalldKL8tZqqkQgvWCEuEIMNy8QlXNLCNzSGy7WAow0QL9zurB7UecuA4aXteG88wRrOFEawA8tH9XxYEuCWG0ol+PExopi/z+tEOxgi5HACwx1gcAOAIiE0SL5oAEYdIGsDNgxgugDAU0RQHsTWnuaJwfawda2
D1cRAWCPMIcH0CIhF2xkpzcdZAipVzrO1046HOX1h5brp186+LAkNbKjrHEO654nOuXWmdFhN6/dbSCA3cL31ja79fetpAng7OxUyDf+tpBHiHe5iojapYfWF+ZKk0ujbOtpBxYj+oE1DZOug3fgUjFE0YgQCl0frJNpGxdeqsHm1RkAaG6TfuB1XjWjV/IBiGwDYh4QydaMcZBmbz1+ShkZhdzd5v4AJI0YjU9tJWRqTvZ7Uja0YGiv6BXBDAAg
AXGNzqhicuN863DbUvzdBwR1l0CQGvFxcr2JACLHXHsSmgF4loI0O0AdsO3I66IbOMoDrDyKgy9wXYN7e9su2dbLN2bEqhRv2xOAJ+yAhAHA4IAzAwgZgLOjjjEAzbkVeFQgGzgjw44pQspPDheJaJcDzNogGPLzsQB4cK1xxuhP1QZwJuCqguDrbsCfh/hzAYEPDjgDvg2AKwNm7gBzuMQcc4AWiDXjhDhAZEZGHsEAA===
```
%%

Binary file not shown.

After

Width:  |  Height:  |  Size: 52 KiB

View File

@@ -0,0 +1,14 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
## Drawing
```compressed-json
N4IgLgngDgpiBcIYA8DGBDANgSwCYCd0B3EAGhADcZ8BnbAewDsEAmcm+gV31TkQAswYKDXgB6MQHNsYfpwBGAOlT0AtmIBeNCtlQbs6RmPry6uA4wC0KDDgLFLUTJ2lH8MTDHQ0YNMWHRJMRZFEIAOMiRPVRhGMBoEAG0AXXJ0KCgAZQCwPlBJfDxM7A0+Rk5MTHIdGCIAIXRUAGsCrkZcAGF6THp8BBAAYgAzEdGQAF9xoA===
```
%%

View File

@@ -0,0 +1,14 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
## Drawing
```compressed-json
N4IgLgngDgpiBcIYA8DGBDANgSwCYCd0B3EAGhADcZ8BnbAewDsEAmcm+gV31TkQAswYKDXgB6MQHNsYfpwBGAOlT0AtmIBeNCtlQbs6RmPry6uA4wC0KDDgLFLUTJ2lH8MTDHQ0YNMWHRJMRZFEIAOMiRPVRhGMBoEAG0AXXJ0KCgAZQCwPlBJfDxM7A0+Rk5MTHIdGCIAIXRUAGsCrkZcAGF6THp8BBAAYgAzEdGQAF9xoA===
```
%%

View File

@@ -0,0 +1,56 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
반복 = 알다 = 이해
암기 = 에빙 = 메타인지 ^Fa47odK0
연습 = ^itsFMaSv
공부방법도 ^yBlkRolL
달리기 마라톤 = 6개월 프로그램 작성
^6qSqXf6p
9 ^R3WYDVrV
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebTiAFho6IIR9BA4oZm4AbXAwUDAi6HhxdCgsKGSiyEYWdi40AHYANn5iutZOADlOMW4eBIBWQYBmIaHR9shCDmIsbghcAAZq
4sJmABFUiuJuADMCMOmIEkWAMVwEprZiAGlVk/3CfHwAZVhgxcEPNYEoUhsADWCAA6iR1AMTswAcCEB8YF8JD8zidAX5JBxwtk0ABGE5sOC4bBqGDcXHLZYnazKJGoKn5SCYbjOXG4ponMloVktAAc0NhIIAwmx8GxSIsAMS4hAymV/CCaYlA5TouYisUSiQA6zMImBTIKigQyQDZZNbTmgCcvOWowSLRaTStfP5jKkCEIymk3CGDJqEDCCD2aB4
vNxYYSywdJ1VwjgAEliDjUDkALpPcjpJPcDhCV5o4RzLHMFN5gvuzRF4gAUWC6UyKfTJyEcGIuF25KaPBGo3tTVxQ1xboDRA4QNz+fwJzF2BBIdQh3wx3d+04UDehCMZR4/uKa8yl30Ly5qHx7oqmCqEkAGD2AV57UABeVCAGVHACdNT9QgBdxwAuqwAdDhABVRwAGOs/QAF0cATT7P0AFS7AAGFwAPccAAcmFXICgABVKkWe9P3fT9fwAkDwKg5
84KQhVLygABBIhlEadBgn2KoTjqKBzAIaivTo6BCQVPRMlwWYmBzNBy2nd1xS9WYCAwq8sIfZ9cOffCgNA59IJghDkOpIQoDYAAlcItzKAEhAQGdBIACU9b1rzPeIhnyABfdpCmKWBEEWCiFU6Bou2Ypgug4XoOH6PEeB4XEnStZZeQ5d1ZnmZkJFwXEFQ2bZgk7NAlxXAMzgkNRmHOABZXA3noBVnleBE6UDUVUXdGFARBcFiEhUMBWa+FPjKOr
fkLDESxTc8A0JYlSXJSlqQ4Wkyj3JluF5IZORZKZGsFBANXFKU5VlJATiVOc4yEdVRW27VyA4PVcANJj3WNNrTTQJ1tCtUYrStHgWlxa4HWWK0EhOSRrJ9UNlsahBg3JIdeR4UYvqGEdimOxNk1yDNVyzBBhNQUSBuLbFJwrAMqxO2t6wyLJ0ZbNsOyhvFu17ftB2HczxyJsTRzYOd6cXI4zNXddN23M0nnXI8T3JE4vIkQAH0cAVqHPxQygZNsi
AFaV6XKg42jFgYu6AxYtj8B1rjdLgXj1wErFSBxvHxNISSOGkzC5cV58FVwHT9MMkW0BMgXR0skHbNxeynJci9Sk8zD/PqThyXCuPAuC0KzyaJpljhhIEitOK8rmBZkqSE50p2XmcsD9YFwgGAACF8CBPTRQAGUql53h6756r2Tq4Va9reD7kEat6lFe/ddFvSGqXxKJElYEm+alhmull6Ss9eV5bQnSGFow3DPsHRtFbuTiCLPpaZYhxaIYrQjB
IRuKJq4S2rV0GlPb5QO5VjtOzVPKXWurdI0JpySw20LyKMkw7RWgmOaJGkBgZelBqgB02hcSfWdI/DO3YBxtAhrzCM4Yhi4MBu6FGSYmwYwDPsLGdspz42IDPESjDKzVjrGkSm1CabtiyunHscNmZDitGzCcrDibFFnPOA4/MxaZGFmUUYLRXpDASHDSY6jhzsh7PIqAEt8CnifpAGW6BACvNYAAN7ACUPYAVJ7AAjzegNEKtXbmOsfYxxF5tY0S
4vrbyTBWLuFNp5HiJw+JREErbBc9tRqO38C7WSEhLG2IcZ7b2BlWB+1QAHNmCArIoNDuHIozl8iuRMdHbUsd3Q+QTmgXkoiqkBQaKnMoDomh7wHJg0uhcN5LCGGlLY5cFyV1LjXFoABHN4YyAAa+wWgWyeB3Ue3d+rrS6gPJ6Q9VlwiWciHuKFhDT0JniAk88Jp4imu6Gka8Tgb0RvEMM99RhNHDC0PsmCCEBlPM4BIoxljaA6TneGvJfmYImMPT
aZ134QE/rtBUh0VRqmIG/QBup9SU1AY9bg8MEjaD7HnCKUU+RtKBiHbgxLCELkwRnEYkxoqxnRKjHhmNcDZiiWwgMiKWG43ZcUUmcxOENipmgZs7pWx8KIYzIR1wWb1KDuzCRnMpHcxkdlORgsFFGVFuq/RLLJbHM8Qk9AgAbpsADWdoFAATnYAH3bAAli5+FogAcGsACtjqBAAgq4AHQ7AAftYACvbUCAETxwAjIMAVQABZW6EXEQFNRam1dqnW
us9T6gNQaQ1ayvEEiQvi44BPYt44J8z3RhOtkJNlkjIASTifgVWixI2oCtba58DrnXuu9X6wNHBg1cG0rpdJmr/akFMjkvJNlySFLAMUoopSSgeQqbJZOvk0Dg0No0nofQdxZydDnHBXTEqLFwLyfpGUED8OGfFGuelRiggAJqbAAGqkGve3aqXddkrIDC/FqYCOpbJHk+9A499mDSOWeE541F7nOXlcuaNzfTRkgb8iKsM2nXw+cUL5uJ4avQjG
yW0Iw7TfTWq+jayKJAwr2nC3+iKiPlCAWiw0JwHqDwjBg50H0vptOeRGBdxRkFDrBtCSGlL95fTepSZDkBKFo2FTQ/c9Di2KsgJywD0TeUcIpo2amorab8J0UzaVIixEcxnMqiuaraFCx7bwZeB4dXHkMbPAMpiIBWlDZWiQTmU1URzemhAjE/GkCzSbTz5QQn5qthEhhJaIBlqkhW8NbnLlpN9sZPtVdIBjlyaSvEI7HLgBoUsOAcAPh024K5aA
wN0h63yWsBghAEAUDruR6slHoX7Ba61qr2ARC3QTBUfQHwupNZI9/fIEAOukC6z1+rR0KOQpRVdGjBtICjfG2kc4iyf19QasUJblNutpD6/3D9mytudZ2z1/b37ERjz2e0EbJ3Mi7f0M3ADpY7OLbu1AB7AB5U5oGzwXOO2N07K3xa6ts/qgHy39DnDM5k3cN3tv3Z66rNN9FvMLdu4DxHe2oh+comNtgFBga4Fk/D97D2axzDx4CQnIQa43Wp1V
5g2BASvCmeSR+kDdy/PtFfYh7IbtM5Z/gC9ZK97/JeVAgclJuc3aMGwAwxWqkEFMtwP5V9KQa815r3EEdhsI4+z1p7BMXsSERVV1UJBFEGeGxbpFM20ATrrqKGukohRWjd27845wFQGWUPmG6UoaybCD0Hr3EBdcQ8pudhA33WKcDLDyiAcBAhmGEMwAA4o7YgVuFU3boSyhABlC6OxmorgMGRcCaGCAubJ+aiAW17f290ztyuN5S5FnSaXuABwj
6WzQAArBA2AshvGdnAYqtwEAU8r9X2Ry4EDgDHRAKq4RivZcckAA
```
%%

View File

@@ -0,0 +1,56 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
반복 = 알다 = 이해
암기 = 에빙 = 메타인지 ^Fa47odK0
연습 = ^itsFMaSv
공부방법도 ^yBlkRolL
달리기 마라톤 = 6개월 프로그램 작성
^6qSqXf6p
9 ^R3WYDVrV
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebTiAFho6IIR9BA4oZm4AbXAwUDAi6HhxdCgsKGSiyEYWdi40AHYANn5iutZOADlOMW4eBIBWQYBmIaHR9shCDmIsbghcAAZq
4sJmABFUiuJuADMCMOmIEkWAMVwEprZiAGlVk/3CfHwAZVhgxcEPNYEoUhsADWCAA6iR1AMTswAcCEB8YF8JD8zidAX5JBxwtk0ABGE5sOC4bBqGDcXHLZYnazKJGoKn5SCYbjOXG4ponMloVktAAc0NhIIAwmx8GxSIsAMS4hAymV/CCaYlA5TouYisUSiQA6zMImBTIKigQyQDZZNbTmgCcvOWowSLRaTStfP5jKkCEIymk3CGDJqEDCCD2aB4
vNxYYSywdJ1VwjgAEliDjUDkALpPcjpJPcDhCV5o4RzLHMFN5gvuzRF4gAUWC6UyKfTJyEcGIuF25KaPBGo3tTVxQ1xboDRA4QNz+fwJzF2BBIdQh3wx3d+04UDehCMZR4/uKa8yl30Ly5qHx7oqmCqEkAGD2AV57UABeVCAGVHACdNT9QgBdxwAuqwAdDhABVRwAGOs/QAF0cATT7P0AFS7AAGFwAPccAAcmFXICgABVKkWe9P3fT9fwAkDwKg5
84KQhVLygABBIhlEadBgn2KoTjqKBzAIaivTo6BCQVPRMlwWYmBzNBy2nd1xS9WYCAwq8sIfZ9cOffCgNA59IJghDkOpIQoDYAAlcItzKAEhAQGdBIACU9b1rzPeIhnyABfdpCmKWBEEWCiFU6Bou2Ypgug4XoOH6PEeB4XEnStZZeQ5d1ZnmZkJFwXEFQ2bZgk7NAlxXAMzgkNRmHOABZXA3noBVnleBE6UDUVUXdGFARBcFiEhUMBWa+FPjKOr
fkLDESxTc8A0JYlSXJSlqQ4Wkyj3JluF5IZORZKZGsFBANXFKU5VlJATiVOc4yEdVRW27VyA4PVcANJj3WNNrTTQJ1tCtUYrStHgWlxa4HWWK0EhOSRrJ9UNlsahBg3JIdeR4UYvqGEdimOxNk1yDNVyzBBhNQUSBuLbFJwrAMqxO2t6wyLJ0ZbNsOyhvFu17ftB2HczxyJsTRzYOd6cXI4zNXddN23M0nnXI8T3JE4vIkQAH0cAVqHPxQygZNsi
AFaV6XKg42jFgYu6AxYtj8B1rjdLgXj1wErFSBxvHxNISSOGkzC5cV58FVwHT9MMkW0BMgXR0skHbNxeynJci9Sk8zD/PqThyXCuPAuC0KzyaJpljhhIEitOK8rmBZkqSE50p2XmcsD9YFwgGAACF8CBPTRQAGUql53h6756r2Tq4Va9reD7kEat6lFe/ddFvSGqXxKJElYEm+alhmull6Ss9eV5bQnSGFow3DPsHRtFbuTiCLPpaZYhxaIYrQjB
IRuKJq4S2rV0GlPb5QO5VjtOzVPKXWurdI0JpySw20LyKMkw7RWgmOaJGkBgZelBqgB02hcSfWdI/DO3YBxtAhrzCM4Yhi4MBu6FGSYmwYwDPsLGdspz42IDPESjDKzVjrGkSm1CabtiyunHscNmZDitGzCcrDibFFnPOA4/MxaZGFmUUYLRXpDASHDSY6jhzsh7PIqAEt8CnifpAGW6BACvNYAAN7ACUPYAVJ7AAjzegNEKtXbmOsfYxxF5tY0S
4vrbyTBWLuFNp5HiJw+JREErbBc9tRqO38C7WSEhLG2IcZ7b2BlWB+1QAHNmCArIoNDuHIozl8iuRMdHbUsd3Q+QTmgXkoiqkBQaKnMoDomh7wHJg0uhcN5LCGGlLY5cFyV1LjXFoABHN4YyAAa+wWgWyeB3Ue3d+rrS6gPJ6Q9VlwiWciHuKFhDT0JniAk88Jp4imu6Gka8Tgb0RvEMM99RhNHDC0PsmCCEBlPM4BIoxljaA6TneGvJfmYImMPT
aZ134QE/rtBUh0VRqmIG/QBup9SU1AY9bg8MEjaD7HnCKUU+RtKBiHbgxLCELkwRnEYkxoqxnRKjHhmNcDZiiWwgMiKWG43ZcUUmcxOENipmgZs7pWx8KIYzIR1wWb1KDuzCRnMpHcxkdlORgsFFGVFuq/RLLJbHM8Qk9AgAbpsADWdoFAATnYAH3bAAli5+FogAcGsACtjqBAAgq4AHQ7AAftYACvbUCAETxwAjIMAVQABZW6EXEQFNRam1dqnW
us9T6gNQaQ1ayvEEiQvi44BPYt44J8z3RhOtkJNlkjIASTifgVWixI2oCtba58DrnXuu9X6wNHBg1cG0rpdJmr/akFMjkvJNlySFLAMUoopSSgeQqbJZOvk0Dg0No0nofQdxZydDnHBXTEqLFwLyfpGUED8OGfFGuelRiggAJqbAAGqkGve3aqXddkrIDC/FqYCOpbJHk+9A499mDSOWeE541F7nOXlcuaNzfTRkgb8iKsM2nXw+cUL5uJ4avQjG
yW0Iw7TfTWq+jayKJAwr2nC3+iKiPlCAWiw0JwHqDwjBg50H0vptOeRGBdxRkFDrBtCSGlL95fTepSZDkBKFo2FTQ/c9Di2KsgJywD0TeUcIpo2amorab8J0UzaVIixEcxnMqiuaraFCx7bwZeB4dXHkMbPAMpiIBWlDZWiQTmU1URzemhAjE/GkCzSbTz5QQn5qthEhhJaIBlqkhW8NbnLlpN9sZPtVdIBjlyaSvEI7HLgBoUsOAcAPh024K5aA
wN0h63yWsBghAEAUDruR6slHoX7Ba61qr2ARC3QTBUfQHwupNZI9/fIEAOukC6z1+rR0KOQpRVdGjBtICjfG2kc4iyf19QasUJblNutpD6/3D9mytudZ2z1/b37ERjz2e0EbJ3Mi7f0M3ADpY7OLbu1AB7AB5U5oGzwXOO2N07K3xa6ts/qgHy39DnDM5k3cN3tv3Z66rNN9FvMLdu4DxHe2oh+comNtgFBga4Fk/D97D2axzDx4CQnIQa43Wp1V
5g2BASvCmeSR+kDdy/PtFfYh7IbtM5Z/gC9ZK97/JeVAgclJuc3aMGwAwxWqkEFMtwP5V9KQa815r3EEdhsI4+z1p7BMXsSERVV1UJBFEGeGxbpFM20ATrrqKGukohRWjd27845wFQGWUPmG6UoaybCD0Hr3EBdcQ8pudhA33WKcDLDyiAcBAhmGEMwAA4o7YgVuFU3boSyhABlC6OxmorgMGRcCaGCAubJ+aiAW17f290ztyuN5S5FnSaXuABwj
6WzQAArBA2AshvGdnAYqtwEAU8r9X2Ry4EDgDHRAKq4RivZcckAA
```
%%

View File

@@ -0,0 +1,14 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
## Drawing
```compressed-json
N4IgLgngDgpiBcIYA8DGBDANgSwCYCd0B3EAGhADcZ8BnbAewDsEAmcm+gV31TkQAswYKDXgB6MQHNsYfpwBGAOlT0AtmIBeNCtlQbs6RmPry6uA4wC0KDDgLFLUTJ2lH8MTDHQ0YNMWHRJMRZFAFZFAEYyJE9VGEYwGgQAbQBdcnQoKABlALA+UEl8PGzsDT5GTkxMch0YIgAhdFQAayKuRlwAYXpMenwEEABiADMx8ZAAX0mgA
```
%%

View File

@@ -0,0 +1,14 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
## Drawing
```compressed-json
N4IgLgngDgpiBcIYA8DGBDANgSwCYCd0B3EAGhADcZ8BnbAewDsEAmcm+gV31TkQAswYKDXgB6MQHNsYfpwBGAOlT0AtmIBeNCtlQbs6RmPry6uA4wC0KDDgLFLUTJ2lH8MTDHQ0YNMWHRJMRZFAFZFAEYyJE9VGEYwGgQAbQBdcnQoKABlALA+UEl8PGzsDT5GTkxMch0YIgAhdFQAayKuRlwAYXpMenwEEABiADMx8ZAAX0mgA
```
%%

View File

@@ -0,0 +1,43 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
민서방 ^Va2iEZsY
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebQBWbQBGGjoghH0EDihmbgBtcDBQMBKIEm4IAE0ASQA1ZgBOABZlaqSANgApADkABQAxAGUAYWJsduUARVSSyFhECsDsKI5l
YJnSzG5nAGYGpP5SmG2eAA54w8gKEnVuAHYeHcupBEJlaW54pvbn6zXxVAABmezCgpDYAGsEMM2Pg2KQKgBiJIIFEojaQTS4bAQ5TgoQcYgwuEIiRg6zMOC4QLZDEQABmhHw+EGsHWEkEHjpoPBUIA6jdJNw+IUBGDIQhWTB2ehOeVnvj3hxwrk0AdRRA2FTsGpjmrAcCNXjhHBqsRVag8gBdZ708iZM3cDhCZnPQiErAVXApBXCQnK5gW4qzaDw
AE7UUAXxBCAQxG4SUBPHiDXiSW+hpDjBY7C4aviTw12dYnG6nDEwtOp0BO1Ojx+GsIzAAIukoHHuPSCGFnpo/cQAKLBTLZC3O10aoRwYi4dvxtV3Jp3WunJrnO4PZ5EDgQp0u/Bbtg4jtoLv4MKFaOFYOQcoSACOAC0ANLVGsAJU6uCEdwAGo+jFXJJcHiQgAEE6XmAEICWFZ/jpLY0HiTMjhOU51RDa5iFuNAeDuBpnkkV53igYUkguDU/hlFCx
V5aFYXhJE0VRJBe2xXF8UJYlGLJcgOEpakslI20mRZNloLleMQXFflBWFaS6KlGUIEkulFUkAMLQw0otWxXUEwNZ5jSnM0LWtW17QQR00HHA9Gw9RD0FwHg1P7TTuBvOYw24CNZivEMwhPVAGnaVN2iaFdnmLXNK1OKKmBLDgyw4CskJ4Hgk1XJo3RbNsgrPHsNT7AlB2HISx33Z4pxnOcE0XZcqwLJoIookNt13GzKo1OFj3nVACoQS9DhvMo+o
gWpnMIAdH2YSpIO8sksGEjVHKSHYGxDPVUGcJIGjuZ4sJw1A020U4GnOva7iSa70PCwjiI+XDWtKKiARolSZPokkmJY9E2JxYyuIY0l0HJfiqRpZaQ0ZZklIk2F5Q1HkJQFbChVwhSJThipVN9PwNJVBNnl0nVYAM97jNNc18htDU7VwB0+tst0HK9HZXJK9zOonALYz6ngMwF/CNtKaLOATJIRSzBLc2S1LUA6fZ2mQ9N3qbVtglq09uwQXt+yH
DJyr3HnSmq2cgqSeqVy+fZmq3d0OtQZnuqPKE+oG5520wUiJEAH+7ABxBwBKHrUygABUloqAPg9tTgoEGQgjABDKY+yfoGaZLbnrmJawKIZQ83QYJ6Sh0WmCgcwCFzt4C+gLU6T0bJcHdJhrKdrqQ3hN53QIcPvcjoO6W/KA2HfcIE4BMEhF17rm4ACQen2Fe0ZMhuvRsxs0TBvQQAcACF32GAAZUhH36TpQ6SAB9AArABxDhAXmhYJFg16EO2PZ
tMgLbnDOQtMLkrhU4ItIBETeI9Xg6ZfirGopjKE3EQYQGRL9ViRV2KAyJMDCoYMBKQzpDDMS0p4ZcjgQgVGR0palGRlCbGHIEZSQ1OpLmCtiban0vqCm+IqZmVptDSyrdnYhndMQT0EhcBNA5v6QmaBPKhmfqgXyJR/JUL5twdC6YhZNHemLAueECJFhlqWcsAImgFgaDsO4Z1KG3lyprfKOs9YlQNiOHINMqrTnNn1S2S5rbxHQt8e2O5jZ2Taq
7ex55BpKOGuvCoFBD5CEPu0U4v4ACyT9oKEH0NEVBIZHK/2Qs8H+yZ3qHXRsdQyGowEkW4A0axEA35oHetQr6PFQZ8VwUJOkWIAacUwd9XiFIIadJErDcSFRJDYg0IEbkn1yFlK/h9RSYy6EkMYcIJU0iWEahJuwhWFSQy9OYYIlRQUdhrUTPFHM4s0D/1LlcpKxiak7HiHcQEdZ2jvTNlrBWVsqzfEXDsbKjZbEIG+ZPaeIZKamTcUVfWZVRwwr
ag7YJh5eqdgcXTJkVkxq4DuJoJo2Amg8CSMQeICB4jEElh85yzkGj0kBLgWsZykldmIJoBomh4jYE0NydwAICizDAF/IVopeGlGEaIpyj9V4lBGnedA19r4yCaGBU47NPYLVBhHZ4eTkx1J/kkKsCQDqANQHFSpC9hRZ3qTAt6pCEE/WYl09BvSHUDPBoJWkIzCHKVxkjWZpq6nNNobKehHMNmBiJtsthZMOFGS4dCtA5k6b8KZu3cVrMxHxEkcQ
I56aBCqIXJbC6gIkmXMSj5ctstHn6mau0dMdx4ggLKCCsFpAp6OMJM4o23MQmmw8d87xDVzh+PTPopFQTe2orduiiJnsI4SBDhQXui8ID4NjvHROwp3r0ljmnfQGdPjzu9lXfOFQxDZCYHSbM5d3Cnprge4gxB1jPAblEZupBW4QE3tvPeB9j6n3PlfO+D86Sd38D3Bd6BB5CGHqPVgW60DgsCQgee4DF5JGXvES84BeH1LgHAVk5sPKFGgERTIF
Q84fEOAwQgCAKC7xdf2N16BET0nYxxjYEBsAiEhtUds+hWR0RY0g5if1SM8dIHxgTjGenMawe6jpXqJO8aEvxjI/RRIhpUmGmjknpMZCEyjQNenVPZHU4Jz62m/WlH02pgT751kE0jWqUzUn7MZAAPIxq2omFC3GzNQAs/0Pd6d8CZzcwZ/QIXsibqTv5uz5mBMrvvZRhAxcuOJaCwJojpAoBgSk2wCgRFcBppNgF9zSWMgDkJAV8ExWQg4sK1QS
LHn9B1aK6HTVMF+xceYNgcEzJfyfHSjR/rg38BzTQKY56EAjBsAMCRrMBAp4JhlZALLFnHOc02T1kqXG8QkDi9umjh3iCsgQHAI9pGzspLYCImruBNDBHdhi0oZ2WMjV3rCMapBlBYgABTEv2pAkHwPqBAgSAASjpKPZQLpqSLH+7gIHOxgS8DRxDx46PATQ4gOtirkMjNQm8+XTgFVyv00yKPD0pB3TKCW6ULIT2XvcGQxqbARArtIfbRC0oHAG
YT158TWD24hdTwJ3Ya+CBljMEGALuAd2HsC+e+EwqL1liEEYKHBb+BGdeXkSpdImvxavqEKCAwXX5HHMgD1Gd2s53dVCPlzX2vdfBJw2AfyDIsVBkjCASMQA
```
%%

View File

@@ -0,0 +1,43 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
민서방 ^Va2iEZsY
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebQBWbQBGGjoghH0EDihmbgBtcDBQMBKIEm4IAE0ASQA1ZgBOABZlaqSANgApADkABQAxAGUAYWJsduUARVSSyFhECsDsKI5l
YJnSzG5nAGYGpP5SmG2eAA54w8gKEnVuAHYeHcupBEJlaW54pvbn6zXxVAABmezCgpDYAGsEMM2Pg2KQKgBiJIIFEojaQTS4bAQ5TgoQcYgwuEIiRg6zMOC4QLZDEQABmhHw+EGsHWEkEHjpoPBUIA6jdJNw+IUBGDIQhWTB2ehOeVnvj3hxwrk0AdRRA2FTsGpjmrAcCNXjhHBqsRVag8gBdZ708iZM3cDhCZnPQiErAVXApBXCQnK5gW4qzaDw
AE7UUAXxBCAQxG4SUBPHiDXiSW+hpDjBY7C4aviTw12dYnG6nDEwtOp0BO1Ojx+GsIzAAIukoHHuPSCGFnpo/cQAKLBTLZC3O10aoRwYi4dvxtV3Jp3WunJrnO4PZ5EDgQp0u/Bbtg4jtoLv4MKFaOFYOQcoSACOAC0ANLVGsAJU6uCEdwAGo+jFXJJcHiQgAEE6XmAEICWFZ/jpLY0HiTMjhOU51RDa5iFuNAeDuBpnkkV53igYUkguDU/hlFCx
V5aFYXhJE0VRJBe2xXF8UJYlGLJcgOEpakslI20mRZNloLleMQXFflBWFaS6KlGUIEkulFUkAMLQw0otWxXUEwNZ5jSnM0LWtW17QQR00HHA9Gw9RD0FwHg1P7TTuBvOYw24CNZivEMwhPVAGnaVN2iaFdnmLXNK1OKKmBLDgyw4CskJ4Hgk1XJo3RbNsgrPHsNT7AlB2HISx33Z4pxnOcE0XZcqwLJoIookNt13GzKo1OFj3nVACoQS9DhvMo+o
gWpnMIAdH2YSpIO8sksGEjVHKSHYGxDPVUGcJIGjuZ4sJw1A020U4GnOva7iSa70PCwjiI+XDWtKKiARolSZPokkmJY9E2JxYyuIY0l0HJfiqRpZaQ0ZZklIk2F5Q1HkJQFbChVwhSJThipVN9PwNJVBNnl0nVYAM97jNNc18htDU7VwB0+tst0HK9HZXJK9zOonALYz6ngMwF/CNtKaLOATJIRSzBLc2S1LUA6fZ2mQ9N3qbVtglq09uwQXt+yH
DJyr3HnSmq2cgqSeqVy+fZmq3d0OtQZnuqPKE+oG5520wUiJEAH+7ABxBwBKHrUygABUloqAPg9tTgoEGQgjABDKY+yfoGaZLbnrmJawKIZQ83QYJ6Sh0WmCgcwCFzt4C+gLU6T0bJcHdJhrKdrqQ3hN53QIcPvcjoO6W/KA2HfcIE4BMEhF17rm4ACQen2Fe0ZMhuvRsxs0TBvQQAcACF32GAAZUhH36TpQ6SAB9AArABxDhAXmhYJFg16EO2PZ
tMgLbnDOQtMLkrhU4ItIBETeI9Xg6ZfirGopjKE3EQYQGRL9ViRV2KAyJMDCoYMBKQzpDDMS0p4ZcjgQgVGR0palGRlCbGHIEZSQ1OpLmCtiban0vqCm+IqZmVptDSyrdnYhndMQT0EhcBNA5v6QmaBPKhmfqgXyJR/JUL5twdC6YhZNHemLAueECJFhlqWcsAImgFgaDsO4Z1KG3lyprfKOs9YlQNiOHINMqrTnNn1S2S5rbxHQt8e2O5jZ2Taq
7ex55BpKOGuvCoFBD5CEPu0U4v4ACyT9oKEH0NEVBIZHK/2Qs8H+yZ3qHXRsdQyGowEkW4A0axEA35oHetQr6PFQZ8VwUJOkWIAacUwd9XiFIIadJErDcSFRJDYg0IEbkn1yFlK/h9RSYy6EkMYcIJU0iWEahJuwhWFSQy9OYYIlRQUdhrUTPFHM4s0D/1LlcpKxiak7HiHcQEdZ2jvTNlrBWVsqzfEXDsbKjZbEIG+ZPaeIZKamTcUVfWZVRwwr
ag7YJh5eqdgcXTJkVkxq4DuJoJo2Amg8CSMQeICB4jEElh85yzkGj0kBLgWsZykldmIJoBomh4jYE0NydwAICizDAF/IVopeGlGEaIpyj9V4lBGnedA19r4yCaGBU47NPYLVBhHZ4eTkx1J/kkKsCQDqANQHFSpC9hRZ3qTAt6pCEE/WYl09BvSHUDPBoJWkIzCHKVxkjWZpq6nNNobKehHMNmBiJtsthZMOFGS4dCtA5k6b8KZu3cVrMxHxEkcQ
I56aBCqIXJbC6gIkmXMSj5ctstHn6mau0dMdx4ggLKCCsFpAp6OMJM4o23MQmmw8d87xDVzh+PTPopFQTe2orduiiJnsI4SBDhQXui8ID4NjvHROwp3r0ljmnfQGdPjzu9lXfOFQxDZCYHSbM5d3Cnprge4gxB1jPAblEZupBW4QE3tvPeB9j6n3PlfO+D86Sd38D3Bd6BB5CGHqPVgW60DgsCQgee4DF5JGXvES84BeH1LgHAVk5sPKFGgERTIF
Q84fEOAwQgCAKC7xdf2N16BET0nYxxjYEBsAiEhtUds+hWR0RY0g5if1SM8dIHxgTjGenMawe6jpXqJO8aEvxjI/RRIhpUmGmjknpMZCEyjQNenVPZHU4Jz62m/WlH02pgT751kE0jWqUzUn7MZAAPIxq2omFC3GzNQAs/0Pd6d8CZzcwZ/QIXsibqTv5uz5mBMrvvZRhAxcuOJaCwJojpAoBgSk2wCgRFcBppNgF9zSWMgDkJAV8ExWQg4sK1QS
LHn9B1aK6HTVMF+xceYNgcEzJfyfHSjR/rg38BzTQKY56EAjBsAMCRrMBAp4JhlZALLFnHOc02T1kqXG8QkDi9umjh3iCsgQHAI9pGzspLYCImruBNDBHdhi0oZ2WMjV3rCMapBlBYgABTEv2pAkHwPqBAgSAASjpKPZQLpqSLH+7gIHOxgS8DRxDx46PATQ4gOtirkMjNQm8+XTgFVyv00yKPD0pB3TKCW6ULIT2XvcGQxqbARArtIfbRC0oHAG
YT158TWD24hdTwJ3Ya+CBljMEGALuAd2HsC+e+EwqL1liEEYKHBb+BGdeXkSpdImvxavqEKCAwXX5HHMgD1Gd2s53dVCPlzX2vdfBJw2AfyDIsVBkjCASMQA
```
%%

View File

@@ -0,0 +1,14 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
## Drawing
```compressed-json
N4IgLgngDgpiBcIYA8DGBDANgSwCYCd0B3EAGhADcZ8BnbAewDsEAmcm+gV31TkQAswYKDXgB6MQHNsYfpwBGAOlT0AtmIBeNCtlQbs6RmPry6uA4wC0KDDgLFLUTJ2lH8MTDHQ0YNMWHRJMRZFAE5FFjIkT1UYRjAaBABtAF1ydCgoAGUAsD5QSXw8LOwNPkZOTExyHRgiACF0VABrQq5GXABhekx6fAQQAGIAM1GxkABfCaA==
```
%%

View File

@@ -0,0 +1,14 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
## Drawing
```compressed-json
N4IgLgngDgpiBcIYA8DGBDANgSwCYCd0B3EAGhADcZ8BnbAewDsEAmcm+gV31TkQAswYKDXgB6MQHNsYfpwBGAOlT0AtmIBeNCtlQbs6RmPry6uA4wC0KDDgLFLUTJ2lH8MTDHQ0YNMWHRJMRZFAE5FFjIkT1UYRjAaBABtAF1ydCgoAGUAsD5QSXw8LOwNPkZOTExyHRgiACF0VABrQq5GXABhekx6fAQQAGIAM1GxkABfCaA==
```
%%

View File

@@ -0,0 +1,66 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebQBGAFZtHho6IIR9BA4oZm4AbXAwUDBSiBJuCAARAEcAa1JJTQAZfUk6gCsADQAVKp4ABgAlAHEANQAxVP4y2ERKwOwojmVg
tNLITG5nADYBgZnIGG4AZn3DiAoSdVOAFgOiyEkEQmVpU72L61XxVAeNiDMKCkNh1BAAYTY+DYpEqAGJ4ghEYj1mVNLhsHVlCChBxiJDobCJMDrMw4LhAjlUZAAGaEfD4ADKsDWEkEHmpgOBoIQAHVrpJuHxHlyQWDmTBWeh2RULji3hxwnk0PELmxydg1McVecRdjhHAAJLEZWofIAXQuNPIWWN3A4QgZF0IeKwlVwAHZOTi8YrmKaHU6RWEEMR
TgNbid4icTgAOW4XRgsdhcNC3RKJpisTgAOU4YiFPFjO1utwAnBHncwqhkoKHuDSCGELpphHiAKLBLI5AOO/AXIRwYi4OthlUexITssnHjxCs7D0XIgcOr2vtLtiY+toRv4MJFAC+MxKZQqEiMAGl28RiIb6JIeIFeYyhHVwaQ6jmurHOXNfhBrVwLJOS2NBnB4e4Lm1XhPhFK5iBuNAeFggFnled4VVjf4ym+KVsIEbkwQJGF4U0MjOXRTF9Vxf
EoRI4lyA4MkKWyKBOTpBkJSlQEoVlYNCL5AUhQuIExQQLj/xlMM5WEBUlW4fCIHVDEtW4eJdQBaijRNApLRFQDbTHVBA37EUXWIN0JFwABBb022IP1eyDAEQyMpIJzOHgPVLTNk04NTFxFJNsw4PMOALNAPQ9eNJ1jMsdirGtglHBsmwQFt7M7TJWKc0yAUHYcUvHSdEmnM453ipcXVXNATI3LcjN3ZsRWwIQgQMKoR1wbgTzKAyIToolUF6spRJ
5eEqluSbJupPr6XweFrKqJaltmyAOCAgbCXhD1rN23aIEeMAD0eI8RQ24Dar7Q9jzMoyICMB9lEnZwcwABUkZo8HoABNOB21jDpmAAKV/eB/0yTRQ2HTQ1guUDUCwqC7kU+DENQeIkZFNC3jYzDFNw35FLGojBvhZEkSQFsMSxH1aO2hjSXJSk2KteaJMqKTORJwSEMFJCRIEjm2V46SRXlSRHLUtUNVUnVFK041TQtK0bQQO0ruc09XQRiBcAAI
Tsmipc1vLRoQbdeAGRJbg9adEniYUAWClM1ITIKsxTMKIoxk4dkSHZkPi2NEtrS2mvSkVWxorLu1yNctcgAqR0t+IJynGNZy8ssqpXBOzcgaEGtSvdI5c9xfkKDYwFVI74kec0bqKXrynumoJhzW43sSbARgGGB2x2MEoG/fWAFkCDB+YJH6kDtmQ+JtAnZGwIggYUgzOChLQM53dQl5caFE495wlY8MFsTiKGiA4TIzQKJp6i8SvyoSSY5nWPY9
mWUk0XuYE/kfNhL8TEsLaUf8ZJ+ElvJNAillKalgGpDSZRFY6TQCrfSasNbGXXGZHW7p4hG19DAnBidAQWyMhWHgiQBh2ydmUF2/kVTRl8iFb2vw5xYVjIkGcsYQ5mWrGHIywIhBlzRJlLsOV84DiHCnNy6dSo8DLPEUssZa4AmXDVUhBcIBFzBI1NKFxWrtX0J1KIPUjoATVi/NAI0CJiQmlNJxa0ALzUWstDxLiLpbXougOE+09q2SOidDYZ0A
TePzk3UoLczzoAQNgfAUBYz0BpOCCgIQAASIxEgAHkEADGINgFwU9/yLGWD8OeYE5w7CXpvAE0FnDlQ3hcNG/MMYQQuDjDCGNKwikJgpC+PIbF+IpiiamVE6bDOgIxZiLMv6cR/pzCBICeSAPRvQ+xPIwE8Q5JAuS/ppYingXLHpCscTaWVnpAE/VsF1TwRZXWuBpji3sibYali/ynFOiJChSDEixm8uWQYrDXY7xOCC3M+ZfjFhtgHW4HSBFJQQ
EVVAIixGQGjh2SRPZpEimTiitOJUyxKOjB6E4gUNHVVxRozc+iS77lKGE4od1KhlgvAALRzEMD0jJGTghpM0Oo7RGQeh4MDZ8WwLifIkI4ICnAxYAgRvFZpIoGleXXtQlp292k52xgfbpKiCZnyJoM0mDMRmUzGVHR+kyyaM3fixKkbMFmSl/rslZYI1ltI2aKLZiyRbuoBBLN56iyjHMQfLC4qDLmq02rc3BAJzKWXQLgE4RCHIkJGtAcGQpvnB
l+eOP2dsBh+0Uow1MvB+HO09pC8K0LkIDB2Hwqtp5BHJUtmijKMdsXx1NjIwqqcFHEuUSW6KuctF3JpcXHcaUonMsTfdN6Fl9YAH1mi3F5LcZob0LwAEUeh9DGJjIwu6SmVCCEQOQVMRQIyUTUzVqr57/JVQCVp3BKp6vQnjRGPr+mwNNT46+CJLXXoBJRWm9kplv1mZ/Z1TJ/XgMDaNAB2qfU822VzPZ0CDkqhlipCNpyo3nKVrpWNhlqXawee6
W46a3lZulbwPNLkC2+3iDsBcAKfIez8hWpRELQpQqFI28lsZj4llDu24RpBRFdqxdlHFfa8WyIJUOkls4WEik0RRwutLw6zsZbdBdCwaiYA9BMeIu6fpnokJDaGuBYagbKAjdjK9UDOHUnUsob60A0MUl079vmvjGoGR6wD5MQMPwmZBu16BoMfydfpb+rrKiSAxBoQI/8xJesOS5IWCGdl8SDbJbDppQ2QHDdBdSik6ZvMnebS2vDyz8e4JGfj7
C1Lsf2HsQYil8WDqJSShcs4JPIo7dJ9FEBo2kajhI+TvazRXLKFpiQ+R8gAFUchqGCMQc05pOR6L06XMj6sjJ1YEBXAoddDg1wbkYtqUAOpdQsdXCA+hiBvRBHIZ7L22oIByfYEgTgayNkdPNiO12MU2vshPKA2BJDgmsPQUI9L0VoihzRGHcPY6fzQJ2o6kOos0SmXCGkpOXHgafsQHJssCMoRe62UgFlSCY8kNjqkuPxsQ4gAzpnxPSc0nJzCJ
n1P8PQXwnNYI3ixiEFYA5lHwSmOUeTXrRIh0DPNxZRIHMrQLyJAQEMAY1m4n6ChjeezcMb3bD2AlR9YE4paqAT55BTx9UBed3rYL/7QvE9GY5gnEGicxemUzR1rNEsuu4qluHIg/e+s9dqsrcfxL5cwy8qBIa8MIMq+7mrJCzvkMth6AYEEfXlu4LGUvNaBN1qQdGEtXkuP5WU/1qcJLJx8cRUI7gePNLEbQQt2TxA2fzYwZSvOK38iAFeawAAb2
oEALsDgBAGsAKgTgAazt2/t3TBijuYLjadhNo0LvoKu3XW7LV7uPfMbYyxb2PvqlNHYiAv3/sOCBwgEHiTTTg/x9z9HeIWcI44CR0/0MW/wpzphZ2H27051AN/3pl8Rvn53J1gJFyz24DpzAyFyYAgJ7SgJk1AMwNID5zJy5x5yYBQJOXF1pHpGyE2ml1lylAjgV1CWdHwSsh2DV2OkM1PHui6ENGoRFRzFIC6EIB6CEEIBqHiBqBpHwBpH1iECN
ysU2kqTcx2DY1cyLBPkgG81QHJR9X81OGJSCwqS91y0viD2AwpkiwD2fiDzi1D3mXg2SwDUK2Qyy1QwAww2WSK3TxIUTwqyQTOQNBI3QUW1pCwT3zISTUeR/EgWIRw20R+VTkNU4R2A/WrR4zUnBW4zYUEzQEDltg9DYwRUTTbVGykzwIwO7Tm1yn7TkQCiJSjHigdiyLHwnX3x02nVQC/3CSUNNjnRiXujqGaDW2aH1kQEQHwAvCgDWxkJgGUBy
SgHbCqAUOtAoXICoHhm2FKjLG0HjE8hnESH+WjF1XqVODnG0H9lSI9AXFLExht1fW1TjE8xdy/WAQBD/T+AAx9wi3GWsLgOvjsLmTg08KQ02Xj0d14A8JTy8LKGDV8MzxOSqyIyCP71Hz6nCO03KFYJTTLFozz3aILyMjimQnVRnGax1Erx43axVEOOtmoTJXuNbSRRRR73ESqLjhqKUwHXkQaOziUQpSWypUUynTpRnW3wBDgDYBdBHyOirmrko
IGCOlCLADlI2BaPlKVOu1VNKAFI2EVOrmVO1JrnVL1M1NlPx2BXx31I2ENPxyjAh3czNOriNNuBbQ2EdINK1Px3+QdPrk9PNOrjAFSN9KdI2CNLURDP9OdPx0MPxw9JtK9MDPUg2VKHjNKFtKTPiDK1TL9ITIDOrizLdJzNDNKCNMdhNOLKjLDPx0diLLADTLAAzILPtLjNzPTMTObOeMrLzOjKTPhUjJ7OrL7N1O7PbPzI2CSBTPrLbMbI7InJ9
NbJLJVJrPE0XKrNLJXJOOrgbKbInLJQHLHN7ILLHTXMHI3KTIrwPNnPHNKExi7OnKXLLL4SvN3NvNjMDJ3LnLfK3PdJnNfLAEGCnM/JvIAtoQdJ4EfItMdnAsgsDNnEZPdIgvXOXLgrnBguQqNJ4GQnQrPJQuriwpHPrKQtwswpbI/OIsPKHPwpOHvPAlgvwtuGzKIvoo2Agk0NTIouvKPNYsSCAs4v/PpJwsovPPwsDiEq4qotYoXHEoEsKJkq/
IAuXjjP4oUqLEoLoowotO4XkpAqUXUpUt0rLHYuYs0rgrLEIo0pIrtOdw4pYtKDOArJMqssDLOFooMu4vsrAuUrsrADOB/NstMurijCYssuErwrVI03Ip8qjAQoCucqCsxh0o8t8uG28sCrVJ4EctCokpEoyuMuyv/IOKSskvsq8mKtytKv8qcrCqNJjH0uirJLSvirVJjHKvCvsuPjatqr9i6rtJOCqoKoUuPj4uivTF6pctdPGqCpoSmrVIdlm
vst4oWt8p4WWpotiuqpyvapWoGvcpKt8tULWrEqapqrtJ2Cyr2oqoOvysuu2qLTWtFQercuiuuIeostutqpPKivSvsrtjWqxm+uavssvJOq2tqtE3+puuiu0tBsKphsBvTNPwlMCH9BjxjWDEIH0EdBTg+yVBj1wIm3wFCCgEhH0H0DUFHDeilPZzNCOieOu1CsbnV2iU13QHwHZURBqDGGUHYKlRzWJCwDD0VW2EjF2MjGLwOKOP6pNIgGgkGFj
AuIDnMpuMYuLAd3RjdKkFdyFGeI92MM+O93MN9ysMpygxmXiyFol0cO4lT1MNWXcNCxBJcMgDhPiL8Jp2z0CMHGCIHx33I2FKV0eXBDxPiPz1cha2nHiloXfIYSr1ODa1yNQHOutjJRop9Rl2ZLGwqLZLkw5MxL6x5IzlLFtmws0yFISM003xRylUFsqG9EoB6FrokHYk4CgEZEICMF+EtOuVbomCAnpGgl1rrEwCgGsiIGUArV0Tf0tsgCTCgHM
AIDHteEnoezgE5D0ByFwBdCYHjTIRhFeBdAIEbpHrrq+CEAeyGHCA7t+FZMLm3oyW1pVA3kPHACuT1jgDgGZBTm+2gGeEujZteJmAYEIAQAoH1lgKIP5wFyAdalIBZkNDrH0GZDMPNRvmNpgZEHgcQfAcJxsNQcBNgyKAgFgawcyAmCSxtphOIcwdYgQcyGQftohPoWobgdocQYYfFGhKQxYdIf0CGGKwzyIZIbYcyHIIIyRKEZoZyDof0AmF7v7
vwEHowdYekcQbkZyHbs7qE2Ud4ePtHvHsnuCBpEtp4ZEaQaiFIFHrgbYAoGeFwAiLNlMdUcyHbDxGsmsdsZCHugpBBA2MkZUagBkfcd8Z6H5vQDplRCccCbUbVn4alDq0BGwBBAZC6HfXuDFv2OoSlq3MSeSfwCsyQnXj2IlqybUX6pyaMDYAMG+1noIFETUjnSiZkf4eNhIUBFS1IDXqAexBIE0a7uwkm1IF6brDXp826aGeIDHjYAslcfNyzrE
UGZIGGRbn1ihHulIGUHRAAApZxFxeA05qB9m9n15EgABKTkS+5QbG6+DZ7ZzKg4XgM4Q5+5w5k585xp4RjRgSaneezgTk9EzaS+10IZlYGpjADaBzcoibBJQgUZ1FaAno/+2+pSc+5cG+hFsofQCkMEUgHMXo+F7OyALFj8JgWZyFgmxpuwDoeJXIRkDaOAKZmZiF7bauohjEeexgHoKphaK/AEBjchYIJYV2O7ExUJ6eCukUw7Zqa5EEJBjIIVp
hLokAjRYm6yIVzl7lyJRlcAMJVxYIe/E6A8IAA==
```
%%

View File

@@ -0,0 +1,66 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebQBGAFZtHho6IIR9BA4oZm4AbXAwUDBSiBJuCAARAEcAa1JJTQAZfUk6gCsADQAVKp4ABgAlAHEANQAxVP4y2ERKwOwojmVg
tNLITG5nADYBgZnIGG4AZn3DiAoSdVOAFgOiyEkEQmVpU72L61XxVAeNiDMKCkNh1BAAYTY+DYpEqAGJ4ghEYj1mVNLhsHVlCChBxiJDobCJMDrMw4LhAjlUZAAGaEfD4ADKsDWEkEHmpgOBoIQAHVrpJuHxHlyQWDmTBWeh2RULji3hxwnk0PELmxydg1McVecRdjhHAAJLEZWofIAXQuNPIWWN3A4QgZF0IeKwlVwAHZOTi8YrmKaHU6RWEEMR
TgNbid4icTgAOW4XRgsdhcNC3RKJpisTgAOU4YiFPFjO1utwAnBHncwqhkoKHuDSCGELpphHiAKLBLI5AOO/AXIRwYi4OthlUexITssnHjxCs7D0XIgcOr2vtLtiY+toRv4MJFAC+MxKZQqEiMAGl28RiIb6JIeIFeYyhHVwaQ6jmurHOXNfhBrVwLJOS2NBnB4e4Lm1XhPhFK5iBuNAeFggFnled4VVjf4ym+KVsIEbkwQJGF4U0MjOXRTF9Vxf
EoRI4lyA4MkKWyKBOTpBkJSlQEoVlYNCL5AUhQuIExQQLj/xlMM5WEBUlW4fCIHVDEtW4eJdQBaijRNApLRFQDbTHVBA37EUXWIN0JFwABBb022IP1eyDAEQyMpIJzOHgPVLTNk04NTFxFJNsw4PMOALNAPQ9eNJ1jMsdirGtglHBsmwQFt7M7TJWKc0yAUHYcUvHSdEmnM453ipcXVXNATI3LcjN3ZsRWwIQgQMKoR1wbgTzKAyIToolUF6spRJ
5eEqluSbJupPr6XweFrKqJaltmyAOCAgbCXhD1rN23aIEeMAD0eI8RQ24Dar7Q9jzMoyICMB9lEnZwcwABUkZo8HoABNOB21jDpmAAKV/eB/0yTRQ2HTQ1guUDUCwqC7kU+DENQeIkZFNC3jYzDFNw35FLGojBvhZEkSQFsMSxH1aO2hjSXJSk2KteaJMqKTORJwSEMFJCRIEjm2V46SRXlSRHLUtUNVUnVFK041TQtK0bQQO0ruc09XQRiBcAAI
Tsmipc1vLRoQbdeAGRJbg9adEniYUAWClM1ITIKsxTMKIoxk4dkSHZkPi2NEtrS2mvSkVWxorLu1yNctcgAqR0t+IJynGNZy8ssqpXBOzcgaEGtSvdI5c9xfkKDYwFVI74kec0bqKXrynumoJhzW43sSbARgGGB2x2MEoG/fWAFkCDB+YJH6kDtmQ+JtAnZGwIggYUgzOChLQM53dQl5caFE495wlY8MFsTiKGiA4TIzQKJp6i8SvyoSSY5nWPY9
mWUk0XuYE/kfNhL8TEsLaUf8ZJ+ElvJNAillKalgGpDSZRFY6TQCrfSasNbGXXGZHW7p4hG19DAnBidAQWyMhWHgiQBh2ydmUF2/kVTRl8iFb2vw5xYVjIkGcsYQ5mWrGHIywIhBlzRJlLsOV84DiHCnNy6dSo8DLPEUssZa4AmXDVUhBcIBFzBI1NKFxWrtX0J1KIPUjoATVi/NAI0CJiQmlNJxa0ALzUWstDxLiLpbXougOE+09q2SOidDYZ0A
TePzk3UoLczzoAQNgfAUBYz0BpOCCgIQAASIxEgAHkEADGINgFwU9/yLGWD8OeYE5w7CXpvAE0FnDlQ3hcNG/MMYQQuDjDCGNKwikJgpC+PIbF+IpiiamVE6bDOgIxZiLMv6cR/pzCBICeSAPRvQ+xPIwE8Q5JAuS/ppYingXLHpCscTaWVnpAE/VsF1TwRZXWuBpji3sibYali/ynFOiJChSDEixm8uWQYrDXY7xOCC3M+ZfjFhtgHW4HSBFJQQ
EVVAIixGQGjh2SRPZpEimTiitOJUyxKOjB6E4gUNHVVxRozc+iS77lKGE4od1KhlgvAALRzEMD0jJGTghpM0Oo7RGQeh4MDZ8WwLifIkI4ICnAxYAgRvFZpIoGleXXtQlp292k52xgfbpKiCZnyJoM0mDMRmUzGVHR+kyyaM3fixKkbMFmSl/rslZYI1ltI2aKLZiyRbuoBBLN56iyjHMQfLC4qDLmq02rc3BAJzKWXQLgE4RCHIkJGtAcGQpvnB
l+eOP2dsBh+0Uow1MvB+HO09pC8K0LkIDB2Hwqtp5BHJUtmijKMdsXx1NjIwqqcFHEuUSW6KuctF3JpcXHcaUonMsTfdN6Fl9YAH1mi3F5LcZob0LwAEUeh9DGJjIwu6SmVCCEQOQVMRQIyUTUzVqr57/JVQCVp3BKp6vQnjRGPr+mwNNT46+CJLXXoBJRWm9kplv1mZ/Z1TJ/XgMDaNAB2qfU822VzPZ0CDkqhlipCNpyo3nKVrpWNhlqXawee6
W46a3lZulbwPNLkC2+3iDsBcAKfIez8hWpRELQpQqFI28lsZj4llDu24RpBRFdqxdlHFfa8WyIJUOkls4WEik0RRwutLw6zsZbdBdCwaiYA9BMeIu6fpnokJDaGuBYagbKAjdjK9UDOHUnUsob60A0MUl079vmvjGoGR6wD5MQMPwmZBu16BoMfydfpb+rrKiSAxBoQI/8xJesOS5IWCGdl8SDbJbDppQ2QHDdBdSik6ZvMnebS2vDyz8e4JGfj7
C1Lsf2HsQYil8WDqJSShcs4JPIo7dJ9FEBo2kajhI+TvazRXLKFpiQ+R8gAFUchqGCMQc05pOR6L06XMj6sjJ1YEBXAoddDg1wbkYtqUAOpdQsdXCA+hiBvRBHIZ7L22oIByfYEgTgayNkdPNiO12MU2vshPKA2BJDgmsPQUI9L0VoihzRGHcPY6fzQJ2o6kOos0SmXCGkpOXHgafsQHJssCMoRe62UgFlSCY8kNjqkuPxsQ4gAzpnxPSc0nJzCJ
n1P8PQXwnNYI3ixiEFYA5lHwSmOUeTXrRIh0DPNxZRIHMrQLyJAQEMAY1m4n6ChjeezcMb3bD2AlR9YE4paqAT55BTx9UBed3rYL/7QvE9GY5gnEGicxemUzR1rNEsuu4qluHIg/e+s9dqsrcfxL5cwy8qBIa8MIMq+7mrJCzvkMth6AYEEfXlu4LGUvNaBN1qQdGEtXkuP5WU/1qcJLJx8cRUI7gePNLEbQQt2TxA2fzYwZSvOK38iAFeawAAb2
oEALsDgBAGsAKgTgAazt2/t3TBijuYLjadhNo0LvoKu3XW7LV7uPfMbYyxb2PvqlNHYiAv3/sOCBwgEHiTTTg/x9z9HeIWcI44CR0/0MW/wpzphZ2H27051AN/3pl8Rvn53J1gJFyz24DpzAyFyYAgJ7SgJk1AMwNID5zJy5x5yYBQJOXF1pHpGyE2ml1lylAjgV1CWdHwSsh2DV2OkM1PHui6ENGoRFRzFIC6EIB6CEEIBqHiBqBpHwBpH1iECN
ysU2kqTcx2DY1cyLBPkgG81QHJR9X81OGJSCwqS91y0viD2AwpkiwD2fiDzi1D3mXg2SwDUK2Qyy1QwAww2WSK3TxIUTwqyQTOQNBI3QUW1pCwT3zISTUeR/EgWIRw20R+VTkNU4R2A/WrR4zUnBW4zYUEzQEDltg9DYwRUTTbVGykzwIwO7Tm1yn7TkQCiJSjHigdiyLHwnX3x02nVQC/3CSUNNjnRiXujqGaDW2aH1kQEQHwAvCgDWxkJgGUBy
SgHbCqAUOtAoXICoHhm2FKjLG0HjE8hnESH+WjF1XqVODnG0H9lSI9AXFLExht1fW1TjE8xdy/WAQBD/T+AAx9wi3GWsLgOvjsLmTg08KQ02Xj0d14A8JTy8LKGDV8MzxOSqyIyCP71Hz6nCO03KFYJTTLFozz3aILyMjimQnVRnGax1Erx43axVEOOtmoTJXuNbSRRRR73ESqLjhqKUwHXkQaOziUQpSWypUUynTpRnW3wBDgDYBdBHyOirmrko
IGCOlCLADlI2BaPlKVOu1VNKAFI2EVOrmVO1JrnVL1M1NlPx2BXx31I2ENPxyjAh3czNOriNNuBbQ2EdINK1Px3+QdPrk9PNOrjAFSN9KdI2CNLURDP9OdPx0MPxw9JtK9MDPUg2VKHjNKFtKTPiDK1TL9ITIDOrizLdJzNDNKCNMdhNOLKjLDPx0diLLADTLAAzILPtLjNzPTMTObOeMrLzOjKTPhUjJ7OrL7N1O7PbPzI2CSBTPrLbMbI7InJ9
NbJLJVJrPE0XKrNLJXJOOrgbKbInLJQHLHN7ILLHTXMHI3KTIrwPNnPHNKExi7OnKXLLL4SvN3NvNjMDJ3LnLfK3PdJnNfLAEGCnM/JvIAtoQdJ4EfItMdnAsgsDNnEZPdIgvXOXLgrnBguQqNJ4GQnQrPJQuriwpHPrKQtwswpbI/OIsPKHPwpOHvPAlgvwtuGzKIvoo2Agk0NTIouvKPNYsSCAs4v/PpJwsovPPwsDiEq4qotYoXHEoEsKJkq/
IAuXjjP4oUqLEoLoowotO4XkpAqUXUpUt0rLHYuYs0rgrLEIo0pIrtOdw4pYtKDOArJMqssDLOFooMu4vsrAuUrsrADOB/NstMurijCYssuErwrVI03Ip8qjAQoCucqCsxh0o8t8uG28sCrVJ4EctCokpEoyuMuyv/IOKSskvsq8mKtytKv8qcrCqNJjH0uirJLSvirVJjHKvCvsuPjatqr9i6rtJOCqoKoUuPj4uivTF6pctdPGqCpoSmrVIdlm
vst4oWt8p4WWpotiuqpyvapWoGvcpKt8tULWrEqapqrtJ2Cyr2oqoOvysuu2qLTWtFQercuiuuIeostutqpPKivSvsrtjWqxm+uavssvJOq2tqtE3+puuiu0tBsKphsBvTNPwlMCH9BjxjWDEIH0EdBTg+yVBj1wIm3wFCCgEhH0H0DUFHDeilPZzNCOieOu1CsbnV2iU13QHwHZURBqDGGUHYKlRzWJCwDD0VW2EjF2MjGLwOKOP6pNIgGgkGFj
AuIDnMpuMYuLAd3RjdKkFdyFGeI92MM+O93MN9ysMpygxmXiyFol0cO4lT1MNWXcNCxBJcMgDhPiL8Jp2z0CMHGCIHx33I2FKV0eXBDxPiPz1cha2nHiloXfIYSr1ODa1yNQHOutjJRop9Rl2ZLGwqLZLkw5MxL6x5IzlLFtmws0yFISM003xRylUFsqG9EoB6FrokHYk4CgEZEICMF+EtOuVbomCAnpGgl1rrEwCgGsiIGUArV0Tf0tsgCTCgHM
AIDHteEnoezgE5D0ByFwBdCYHjTIRhFeBdAIEbpHrrq+CEAeyGHCA7t+FZMLm3oyW1pVA3kPHACuT1jgDgGZBTm+2gGeEujZteJmAYEIAQAoH1lgKIP5wFyAdalIBZkNDrH0GZDMPNRvmNpgZEHgcQfAcJxsNQcBNgyKAgFgawcyAmCSxtphOIcwdYgQcyGQftohPoWobgdocQYYfFGhKQxYdIf0CGGKwzyIZIbYcyHIIIyRKEZoZyDof0AmF7v7
vwEHowdYekcQbkZyHbs7qE2Ud4ePtHvHsnuCBpEtp4ZEaQaiFIFHrgbYAoGeFwAiLNlMdUcyHbDxGsmsdsZCHugpBBA2MkZUagBkfcd8Z6H5vQDplRCccCbUbVn4alDq0BGwBBAZC6HfXuDFv2OoSlq3MSeSfwCsyQnXj2IlqybUX6pyaMDYAMG+1noIFETUjnSiZkf4eNhIUBFS1IDXqAexBIE0a7uwkm1IF6brDXp826aGeIDHjYAslcfNyzrE
UGZIGGRbn1ihHulIGUHRAAApZxFxeA05qB9m9n15EgABKTkS+5QbG6+DZ7ZzKg4XgM4Q5+5w5k585xp4RjRgSaneezgTk9EzaS+10IZlYGpjADaBzcoibBJQgUZ1FaAno/+2+pSc+5cG+hFsofQCkMEUgHMXo+F7OyALFj8JgWZyFgmxpuwDoeJXIRkDaOAKZmZiF7bauohjEeexgHoKphaK/AEBjchYIJYV2O7ExUJ6eCukUw7Zqa5EEJBjIIVp
hLokAjRYm6yIVzl7lyJRlcAMJVxYIe/E6A8IAA==
```
%%

View File

@@ -0,0 +1,38 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebQBGAFZtHho6IIR9BA4oZm4AbXAwUDBS6CwobghAXg3AWZ38/MARhcAQNYBdVrTSyAAzTigAZUIjcV4ABn4y3pyAMVx9QnwY
bkSJyCgKgEEiZS4JYO7K1YYmKHMCLcIdqqg2OE6ykiqAFSgARQArJ/0AeQBVe7W8BG5UwhyKkEw3AAnCkVuCIEs0M4ACwAdlGsKOFBI6mh8W0AA5EqNkaMeASAMw8UYU+I8OFdKQIS7Sbj0o7WZTBbjjeHMKCkNgAawQAGE2Pg2KQqgBieIIeXygEQTS4bBC5SCoQcYjiyXSiQC6zMOC4QI5ZXdBb4fqwbkSSRqjSBZX8wUigDqOMk3HiRzdwoQt
pg9vQgg8yq1ykkHHCeTQfvhtzVakRqHio15jK1OtjzHjqA4Qnw+H9CAQxG4VIAbFDUUdGCx2LtUBSG0xWJwAHKcMTQqnxauJauovjwoRwYi4daVhOoxLzqHIngjqE8MeMwjMAAiGRn3AFQgQR01wjgAEliAX8q0jpphDqAKLBLI5a+3+FEDhCqoNFrtZVJXVCtuG6AgwiObpyCyS9uCLEsjj0HJcEIWNSFgtB4NLJNSEuVCCCeCoqjqP82g6I5yA
oQjQV/JoyMA1CEAACWZaNKgTTF4VwIQbgAJXCIYRkPY94VQ4gsCqXBRggIoAF8JhKB5Z3QfR4hgIVvmUAANIxlVgRAqkyTQKynTRuSOSEkR4KECW0edMwcxzM2rI402cClEjiAkCWrHgqR4ZFkSSalkSxb1lniKEjkkVjWTQZECQ3MpOVDLMygDEU9SlWVFQVJA7zVDUc11CVssNcgOBNM1sjBRkrRLYNQykJ0RHyvkBUDL1iFxBN/Q6kVGuBcNH
go4RozzAtE0ZZNsFTX1M1G7ViAmuDi2wxkwhAtAKRJAkprKRtOxbdd9sgQ7mx7Dg+zQVFRxJCkfNC8dJ2nLb03nRdl2reJUSSI4t13YJ9zQYSTy1C8rwKD9GXvJbn0yGr3yOL8fwkUiAORthgOUsD8Ag+EoLmBAMMLNb/XcEZCi6MBTpp8FobKbAhH5Axt2nXBuEUsp9GIAAFQU5E58EymZhBvnsEgnF3MDi1yUDwJE6nIFVdVTyWgBZadsEkUVr
HoUJ5bxxXqZVQq1Z1TWoG1+HX3Y1BQeF5WzeKrKDXQGVuk9gEyhVoqH2Ib5TVm2BuGrNKYalcTSEt62Xxqg9SCPVYfcjphXdlT3um95XU9IQOUxDtBw8mBZsiJgA1LdCDMkZcbCYXZPBeTRJ1CSJFweIZNKZvSi5iBHgkCh1bgAlSGUAAtABpPSgWuIiLO4Zw/IxAlfviWkAtXJcGTKNzkQpattChNcKQpUcoWratvIJMLup9NAb/hGKWTt9kuI4
LkRnDiAMrFUq3YgHKPKSoCqqxdv/a4FUqrmlqiXBqdohoShGu1d0CAuo9V4H1VBg0qjDUrItcacZfRHBmnNBMC14RqwhkjAm0FibKSwv9Vull0C4FSItXMRDMJkz5OWZS6I6TEgpGudsTZOBVlEUdS611UCklRFSYRIjRI7j3G9B2Ec4ZxzfKtBCz0pzA3eguRIS5l51h3pAFGOj1plCAiKHGCsjjrBohISMlBqJ2wgJaPogxhhsm/lMKAsx5iLG
WI4zY2wWwQH2LAs6Jwzj4AuFcQ0txlRISiIxdCDCeHTVwv4AiREXEch4mwfirBfEg0TsbCxjEWIv19LCOS4BoYQFwHAOAtpXpCzKOoBGVRtisgmAwQgCAKAACFnb+3ThID2mcvaDKZqQGB551j6FtKgqZ7tcogKKBABZSyVnjLAZMiB5VjSmhgfcXZIh9mZGmNaHBEg8GXL2TVZZmQ1mdXCmgJKVzFmvJWR8gaCDcFIPwTsl5OQ3n6F4mNGMXD0z
zOuf8zI+dg5pgzGlX5Nz9DTD6EEhYaYd5YuRTi7xgk/GIr+ZClZ7jEmROic8pF1L3lRFIFADYiy2AUBirgLJujGZMqgFCx8OoOWCm5SEZSLTOVUEpdisVXKnizwkMVRlVKhUrOmHQmFoZGE7OYNgQUJYtKh2PoMg1Rr8AAE1Q7IhhMfB1jrHWDKMGwAwXSDoECPL6OScqSUwqWitFV/tLmahID4kY1JBlhuILaBAdw0BEpjerNg4kRW4BrvYo20b
cIlX1B6yAoyJRSrHqqAAFDwH61BeBVprfWVAGJEgAEplT8WUMWM0VRS24ArTtaty9+19obdoZtXcwA90gBCgY/UxZwFOJwAserJjauyFHVCygC0YA4Bm4Iyl1GMyIAm+2lSjjbqyAnJOSYeJfiEie+E+gzQilIF2ImF6qkQAfaQJ96bM1vt9Tsuw7wEDYFyP0bdcAU1pu3b+tAddjYtJA4QRgTw3X4E3fpIaGREPiMQszG4+glUGW4fymxWM7GG3
xnVQUqysPzpbHB5GoR2WIeQ6hqxjTx38AgPVcInNG6ySAA==
```
%%

View File

@@ -0,0 +1,38 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebQBGAFZtHho6IIR9BA4oZm4AbXAwUDBS6CwobghAXg3AWZ38/MARhcAQNYBdVrTSyAAzTigAZUIjcV4ABn4y3pyAMVx9QnwY
bkSJyCgKgEEiZS4JYO7K1YYmKHMCLcIdqqg2OE6ykiqAFSgARQArJ/0AeQBVe7W8BG5UwhyKkEw3AAnCkVuCIEs0M4ACwAdlGsKOFBI6mh8W0AA5EqNkaMeASAMw8UYU+I8OFdKQIS7Sbj0o7WZTBbjjeHMKCkNgAawQAGE2Pg2KQqgBieIIeXygEQTS4bBC5SCoQcYjiyXSiQC6zMOC4QI5ZXdBb4fqwbkSSRqjSBZX8wUigDqOMk3HiRzdwoQt
pg9vQgg8yq1ykkHHCeTQfvhtzVakRqHio15jK1OtjzHjqA4Qnw+H9CAQxG4VIAbFDUUdGCx2LtUBSG0xWJwAHKcMTQqnxauJauovjwoRwYi4daVhOoxLzqHIngjqE8MeMwjMAAiGRn3AFQgQR01wjgAEliAX8q0jpphDqAKLBLI5a+3+FEDhCqoNFrtZVJXVCtuG6AgwiObpyCyS9uCLEsjj0HJcEIWNSFgtB4NLJNSEuVCCCeCoqjqP82g6I5yA
oQjQV/JoyMA1CEAACWZaNKgTTF4VwIQbgAJXCIYRkPY94VQ4gsCqXBRggIoAF8JhKB5Z3QfR4hgIVvmUAANIxlVgRAqkyTQKynTRuSOSEkR4KECW0edMwcxzM2rI402cClEjiAkCWrHgqR4ZFkSSalkSxb1lniKEjkkVjWTQZECQ3MpOVDLMygDEU9SlWVFQVJA7zVDUc11CVssNcgOBNM1sjBRkrRLYNQykJ0RHyvkBUDL1iFxBN/Q6kVGuBcNH
go4RozzAtE0ZZNsFTX1M1G7ViAmuDi2wxkwhAtAKRJAkprKRtOxbdd9sgQ7mx7Dg+zQVFRxJCkfNC8dJ2nLb03nRdl2reJUSSI4t13YJ9zQYSTy1C8rwKD9GXvJbn0yGr3yOL8fwkUiAORthgOUsD8Ag+EoLmBAMMLNb/XcEZCi6MBTpp8FobKbAhH5Axt2nXBuEUsp9GIAAFQU5E58EymZhBvnsEgnF3MDi1yUDwJE6nIFVdVTyWgBZadsEkUVr
HoUJ5bxxXqZVQq1Z1TWoG1+HX3Y1BQeF5WzeKrKDXQGVuk9gEyhVoqH2Ib5TVm2BuGrNKYalcTSEt62Xxqg9SCPVYfcjphXdlT3um95XU9IQOUxDtBw8mBZsiJgA1LdCDMkZcbCYXZPBeTRJ1CSJFweIZNKZvSi5iBHgkCh1bgAlSGUAAtABpPSgWuIiLO4Zw/IxAlfviWkAtXJcGTKNzkQpattChNcKQpUcoWratvIJMLup9NAb/hGKWTt9kuI4
LkRnDiAMrFUq3YgHKPKSoCqqxdv/a4FUqrmlqiXBqdohoShGu1d0CAuo9V4H1VBg0qjDUrItcacZfRHBmnNBMC14RqwhkjAm0FibKSwv9Vull0C4FSItXMRDMJkz5OWZS6I6TEgpGudsTZOBVlEUdS611UCklRFSYRIjRI7j3G9B2Ec4ZxzfKtBCz0pzA3eguRIS5l51h3pAFGOj1plCAiKHGCsjjrBohISMlBqJ2wgJaPogxhhsm/lMKAsx5iLG
WI4zY2wWwQH2LAs6Jwzj4AuFcQ0txlRISiIxdCDCeHTVwv4AiREXEch4mwfirBfEg0TsbCxjEWIv19LCOS4BoYQFwHAOAtpXpCzKOoBGVRtisgmAwQgCAKAACFnb+3ThID2mcvaDKZqQGB551j6FtKgqZ7tcogKKBABZSyVnjLAZMiB5VjSmhgfcXZIh9mZGmNaHBEg8GXL2TVZZmQ1mdXCmgJKVzFmvJWR8gaCDcFIPwTsl5OQ3n6F4mNGMXD0z
zOuf8zI+dg5pgzGlX5Nz9DTD6EEhYaYd5YuRTi7xgk/GIr+ZClZ7jEmROic8pF1L3lRFIFADYiy2AUBirgLJujGZMqgFCx8OoOWCm5SEZSLTOVUEpdisVXKnizwkMVRlVKhUrOmHQmFoZGE7OYNgQUJYtKh2PoMg1Rr8AAE1Q7IhhMfB1jrHWDKMGwAwXSDoECPL6OScqSUwqWitFV/tLmahID4kY1JBlhuILaBAdw0BEpjerNg4kRW4BrvYo20b
cIlX1B6yAoyJRSrHqqAAFDwH61BeBVprfWVAGJEgAEplT8WUMWM0VRS24ArTtaty9+19obdoZtXcwA90gBCgY/UxZwFOJwAserJjauyFHVCygC0YA4Bm4Iyl1GMyIAm+2lSjjbqyAnJOSYeJfiEie+E+gzQilIF2ImF6qkQAfaQJ96bM1vt9Tsuw7wEDYFyP0bdcAU1pu3b+tAddjYtJA4QRgTw3X4E3fpIaGREPiMQszG4+glUGW4fymxWM7GG3
xnVQUqysPzpbHB5GoR2WIeQ6hqxjTx38AgPVcInNG6ySAA==
```
%%

View File

@@ -0,0 +1,369 @@
/*
With This Script it is possible to make boolean Operations on Shapes.
The style of the resulting shape will be the style of the highest ranking Element that was used.
The ranking of the elements is based on their background. The "denser" the background, the higher the ranking (the order of backgroundstyles is shown below). If they have the same background the opacity will decide. If thats also the same its decided by the order they were created.
The ranking is also important for the difference operation, so a transparent object for example will cut a hole into a solid object.
![](https://raw.githubusercontent.com/zsviczian/obsidian-excalidraw-plugin/master/images/scripts-boolean-operations-showcase.png)
![](https://raw.githubusercontent.com/zsviczian/obsidian-excalidraw-plugin/master/images/scripts-boolean-operations-element-ranking.png)
See documentation for more details:
https://zsviczian.github.io/obsidian-excalidraw-plugin/ExcalidrawScriptsEngine.html
```javascript
*/
if(!ea.verifyMinimumPluginVersion || !ea.verifyMinimumPluginVersion("1.9.20")) {
new Notice("This script requires a newer version of Excalidraw. Please install the latest version.");
return;
}
const ShadowGroupMarker = "ShadowCloneOf-";
const elements = ea.getViewSelectedElements().filter(
el=>["ellipse", "rectangle", "diamond"].includes(el.type) ||
el.groupIds.some(id => id.startsWith(ShadowGroupMarker)) ||
(["line", "arrow"].includes(el.type) && el.roundness === null)
);
if(elements.length === 0) {
new Notice ("Select ellipses, rectangles or diamonds");
return;
}
const PolyBool = ea.getPolyBool();
const polyboolAction = await utils.suggester(["union (a + b)", "intersect (a && b)", "difference (a - b)", "reversed difference (b - a)", "xor"], [
PolyBool.union, PolyBool.intersect, PolyBool.difference, PolyBool.differenceRev, PolyBool.xor
], "What would you like todo with the object");
const shadowClones = elements.filter(element => element.groupIds.some(id => id.startsWith(ShadowGroupMarker)));
shadowClones.forEach(shadowClone => {
let parentId = shadowClone.groupIds
.filter(id => id.startsWith(ShadowGroupMarker))[0]
.slice(ShadowGroupMarker.length);
const shadowCloneIndex = elements.findIndex(element => element.id == parentId);
if (shadowCloneIndex == -1) return;
elements[shadowCloneIndex].backgroundColor = shadowClone.backgroundColor;
elements[shadowCloneIndex].fillStyle = shadowClone.fillStyle;
})
const borderElements = elements.filter(element => !element.groupIds.some(id => id.startsWith(ShadowGroupMarker)));
groups = ea.getMaximumGroups(borderElements);
groups = groups.map((group) => group.sort((a, b) => RankElement(b) - RankElement(a)));
groups.sort((a, b) => RankElement(b[0]) - RankElement(a[0]));
ea.style.strokeColor = groups[0][0].strokeColor;
ea.style.backgroundColor = groups[0][0].backgroundColor;
ea.style.fillStyle = groups[0][0].fillStyle;
ea.style.strokeWidth = groups[0][0].strokeWidth;
ea.style.strokeStyle = groups[0][0].strokeStyle;
ea.style.roughness = groups[0][0].roughness;
ea.style.opacity = groups[0][0].opacity;
const basePolygons = groups.shift().map(element => traceElement(element));
const toolPolygons = groups.flatMap(group => group.map(element => traceElement(element)));
const result = polyboolAction({
regions: basePolygons,
inverted: false
}, {
regions: toolPolygons,
inverted: false
});
const polygonHierachy = subordinateInnerPolygons(result.regions);
drawPolygonHierachy(polygonHierachy);
ea.deleteViewElements(elements);
ea.addElementsToView(false,false,true);
return;
function traceElement(element) {
const diamondPath = (diamond) => [
SxVEC(1/2, [0, diamond.height]),
SxVEC(1/2, [diamond.width, 0]),
addVec([SxVEC(1/2, [0, diamond.height]), ([diamond.width, 0])]),
addVec([SxVEC(1/2, [diamond.width, 0]), ([0, diamond.height])]),
SxVEC(1/2, [0, diamond.height])
];
const rectanglePath = (rectangle) => [
[0,0],
[0, rectangle.height],
[rectangle.width, rectangle.height],
[rectangle.width, 0],
[0, 0]
]
const ellipsePath = (ellipse) => {
const angle = ellipse.angle;
const width = ellipse.width;
const height = ellipse.height;
const ellipseAtPoint = (t) => {
const spanningVector = [width/2*Math.cos(t), height/2*Math.sin(t)];
const baseVector = [width/2, height/2];
return addVec([spanningVector, baseVector]);
}
let points = [];
step = (2*Math.PI)/64
for (let t = 0; t < 2*Math.PI; t = t + step) {
points.push(ellipseAtPoint(t));
}
return points;
}
let polygon;
let correctForPolygon = [0, 0];
switch (element.type) {
case "diamond":
polygon = diamondPath(element);
break;
case "rectangle":
polygon = rectanglePath(element);
break;
case "ellipse":
polygon = ellipsePath(element);
break;
case "line":
case "arrow":
if (element.angle != 0) {
let smallestX = 0;
let smallestY = 0;
element.points.forEach(point => {
if (point[0] < smallestX) smallestX = point[0];
if (point[1] < smallestY) smallestY = point[1];
});
polygon = element.points.map(point => {
return [
point[0] -= smallestX,
point[1] -= smallestY
];
});
correctForPolygon = [smallestX, smallestY];
break;
}
if (element.roundness) {
new Notice("This script does not work with curved lines or arrows yet!");
return [];
}
polygon = element.points;
default:
break;
}
if (element.angle == 0) return polygon.map(v => addVec([v, [element.x, element.y]]));
polygon = polygon.map(v => addVec([v, SxVEC(-1/2, [element.width, element.height])]));
polygon = rotateVectorsByAngle(polygon, element.angle);
return polygon.map(v => addVec([v, [element.x, element.y], SxVEC(1/2, [element.width, element.height]), correctForPolygon]));
}
function RankElement(element) {
let score = 0;
const backgroundRank = [
"dashed",
"none",
"hachure",
"zigzag",
"zigzag-line",
"cross-hatch",
"solid"
]
score += (backgroundRank.findIndex((fillStyle) => fillStyle == element.fillStyle) + 1) * 10;
if (element.backgroundColor == "transparent") score -= 100;
if (element.points && getVectorLength(element.points[element.points.length - 1]) > 8) score -= 100;
if (score < 0) score = 0;
score += element.opacity / 100;
return score;
}
function drawPolygonHierachy(polygonHierachy) {
const backgroundColor = ea.style.backgroundColor;
const strokeColor = ea.style.strokeColor;
const setInnerStyle = () => {
ea.style.backgroundColor = backgroundColor;
ea.style.strokeColor = "transparent";
}
const setBorderStyle = () => {
ea.style.backgroundColor = "transparent";
ea.style.strokeColor = strokeColor;
}
const setFilledStyle = () => {
ea.style.backgroundColor = backgroundColor;
ea.style.strokeColor = strokeColor;
}
polygonHierachy.forEach(polygon => {
setFilledStyle();
let path = polygon.path;
path.push(polygon.path[0]);
if (polygon.innerPolygons.length === 0) {
ea.addLine(path);
return;
}
const outerBorder = path;
const innerPolygons = addInnerPolygons(polygon.innerPolygons);
path = path.concat(innerPolygons.backgroundPath);
path.push(polygon.path[0]);
setInnerStyle();
const backgroundId = ea.addLine(path);
setBorderStyle();
const outerBorderId = ea.addLine(outerBorder)
const innerBorderIds = innerPolygons.borderPaths.map(path => ea.addLine(path));
const allIds = [innerBorderIds, outerBorderId, backgroundId].flat();
ea.addToGroup(allIds);
const background = ea.getElement(backgroundId);
background.groupIds.push(ShadowGroupMarker + outerBorderId);
});
}
function addInnerPolygons(polygonHierachy) {
let firstPath = [];
let secondPath = [];
let borderPaths = [];
polygonHierachy.forEach(polygon => {
let path = polygon.path;
path.push(polygon.path[0]);
borderPaths.push(path);
firstPath = firstPath.concat(path);
secondPath.push(polygon.path[0]);
drawPolygonHierachy(polygon.innerPolygons);
});
return {
backgroundPath: firstPath.concat(secondPath.reverse()),
borderPaths: borderPaths
};
}
function subordinateInnerPolygons(polygons) {
const polygonObjectPrototype = (polygon) => {
return {
path: polygon,
innerPolygons: []
};
}
const insertPolygonIntoHierachy = (polygon, hierarchy) => {
for (let i = 0; i < hierarchy.length; i++) {
const polygonObject = hierarchy[i];
let inside = null;
let pointIndex = 0;
do {
inside = pointInPolygon(polygon[pointIndex], polygonObject.path);
pointIndex++
} while (inside === null);
if (inside) {
hierarchy[i].innerPolygons = insertPolygonIntoHierachy(polygon, hierarchy[i].innerPolygons);
return hierarchy;
}
}
polygon = polygonObjectPrototype(polygon);
for (let i = 0; i < hierarchy.length; i++) {
const polygonObject = hierarchy[i];
let inside = null;
let pointIndex = 0;
do {
inside = pointInPolygon(polygonObject.path[pointIndex], polygon.path);
pointIndex++
} while (inside === null);
if (inside) {
polygon.innerPolygons.push(hierarchy.splice(i, 1)[0]);
i--;
}
}
hierarchy.push(polygon);
return hierarchy;
}
let polygonHierachy = [];
polygons.forEach(polygon => {
polygonHierachy = insertPolygonIntoHierachy(polygon, polygonHierachy);
})
return polygonHierachy;
}
/**
* Checks if the given point lays in the polygon
* @param point array [x, y]
* @param polygon array [[x, y], ...]
* @returns true if inside, false if not, null if the point is on one of the polygons vertecies
*/
function pointInPolygon(point, polygon) {
const x = point[0];
const y = point[1];
let inside = false;
// odd even test if point is in polygon
for (let i = 0, j = polygon.length - 1; i < polygon.length; j = i++) {
const xi = polygon[i][0];
const yi = polygon[i][1];
const xj = polygon[j][0];
const yj = polygon[j][1];
const intersect =
yi > y !== yj > y &&
x < ((xj - xi) * (y - yi)) / (yj - yi) + xi;
if (intersect) {
inside = !inside;
}
if ((x === xi && y === yi) || (x === xj && y === yj)) {
return null;
}
}
return inside;
}
function getVectorLength(vector) {
return Math.sqrt(vector[0]**2+vector[1]**2);
}
/**
* Adds two Vectors together
*/
function addVec(vectors) {
return vectors.reduce((acc, vec) => [acc[0] + vec[0], acc[1] + vec[1]], [0, 0]);
}
/**
* Returns the negative of the vector
*/
function negVec(vector) {
return [-vector[0], -vector[1]];
}
/**
* Multiplies Vector with a scalar
*/
function SxVEC(scalar, vector) {
return [vector[0] * scalar, vector[1] * scalar];
}
function rotateVector (vec, ang) {
var cos = Math.cos(ang);
var sin = Math.sin(ang);
return [vec[0] * cos - vec[1] * sin, vec[0] * sin + vec[1] * cos];
}
function rotateVectorsByAngle(vectors, angle) {
const cosAngle = Math.cos(angle);
const sinAngle = Math.sin(angle);
const rotationMatrix = [
[cosAngle, -sinAngle],
[sinAngle, cosAngle]
];
return applyTranformationMatrix(vectors, rotationMatrix);
}
function applyTranformationMatrix(vectors, transformationMatrix) {
const result = [];
for (const vector of vectors) {
const x = vector[0];
const y = vector[1];
const newX = transformationMatrix[0][0] * x + transformationMatrix[0][1] * y;
const newY = transformationMatrix[1][0] * x + transformationMatrix[1][1] * y;
result.push([newX, newY]);
}
return result;
}

File diff suppressed because one or more lines are too long

After

Width:  |  Height:  |  Size: 17 KiB

View File

@@ -0,0 +1,369 @@
/*
With This Script it is possible to make boolean Operations on Shapes.
The style of the resulting shape will be the style of the highest ranking Element that was used.
The ranking of the elements is based on their background. The "denser" the background, the higher the ranking (the order of backgroundstyles is shown below). If they have the same background the opacity will decide. If thats also the same its decided by the order they were created.
The ranking is also important for the difference operation, so a transparent object for example will cut a hole into a solid object.
![](https://raw.githubusercontent.com/zsviczian/obsidian-excalidraw-plugin/master/images/scripts-boolean-operations-showcase.png)
![](https://raw.githubusercontent.com/zsviczian/obsidian-excalidraw-plugin/master/images/scripts-boolean-operations-element-ranking.png)
See documentation for more details:
https://zsviczian.github.io/obsidian-excalidraw-plugin/ExcalidrawScriptsEngine.html
```javascript
*/
if(!ea.verifyMinimumPluginVersion || !ea.verifyMinimumPluginVersion("1.9.20")) {
new Notice("This script requires a newer version of Excalidraw. Please install the latest version.");
return;
}
const ShadowGroupMarker = "ShadowCloneOf-";
const elements = ea.getViewSelectedElements().filter(
el=>["ellipse", "rectangle", "diamond"].includes(el.type) ||
el.groupIds.some(id => id.startsWith(ShadowGroupMarker)) ||
(["line", "arrow"].includes(el.type) && el.roundness === null)
);
if(elements.length === 0) {
new Notice ("Select ellipses, rectangles or diamonds");
return;
}
const PolyBool = ea.getPolyBool();
const polyboolAction = await utils.suggester(["union (a + b)", "intersect (a && b)", "difference (a - b)", "reversed difference (b - a)", "xor"], [
PolyBool.union, PolyBool.intersect, PolyBool.difference, PolyBool.differenceRev, PolyBool.xor
], "What would you like todo with the object");
const shadowClones = elements.filter(element => element.groupIds.some(id => id.startsWith(ShadowGroupMarker)));
shadowClones.forEach(shadowClone => {
let parentId = shadowClone.groupIds
.filter(id => id.startsWith(ShadowGroupMarker))[0]
.slice(ShadowGroupMarker.length);
const shadowCloneIndex = elements.findIndex(element => element.id == parentId);
if (shadowCloneIndex == -1) return;
elements[shadowCloneIndex].backgroundColor = shadowClone.backgroundColor;
elements[shadowCloneIndex].fillStyle = shadowClone.fillStyle;
})
const borderElements = elements.filter(element => !element.groupIds.some(id => id.startsWith(ShadowGroupMarker)));
groups = ea.getMaximumGroups(borderElements);
groups = groups.map((group) => group.sort((a, b) => RankElement(b) - RankElement(a)));
groups.sort((a, b) => RankElement(b[0]) - RankElement(a[0]));
ea.style.strokeColor = groups[0][0].strokeColor;
ea.style.backgroundColor = groups[0][0].backgroundColor;
ea.style.fillStyle = groups[0][0].fillStyle;
ea.style.strokeWidth = groups[0][0].strokeWidth;
ea.style.strokeStyle = groups[0][0].strokeStyle;
ea.style.roughness = groups[0][0].roughness;
ea.style.opacity = groups[0][0].opacity;
const basePolygons = groups.shift().map(element => traceElement(element));
const toolPolygons = groups.flatMap(group => group.map(element => traceElement(element)));
const result = polyboolAction({
regions: basePolygons,
inverted: false
}, {
regions: toolPolygons,
inverted: false
});
const polygonHierachy = subordinateInnerPolygons(result.regions);
drawPolygonHierachy(polygonHierachy);
ea.deleteViewElements(elements);
ea.addElementsToView(false,false,true);
return;
function traceElement(element) {
const diamondPath = (diamond) => [
SxVEC(1/2, [0, diamond.height]),
SxVEC(1/2, [diamond.width, 0]),
addVec([SxVEC(1/2, [0, diamond.height]), ([diamond.width, 0])]),
addVec([SxVEC(1/2, [diamond.width, 0]), ([0, diamond.height])]),
SxVEC(1/2, [0, diamond.height])
];
const rectanglePath = (rectangle) => [
[0,0],
[0, rectangle.height],
[rectangle.width, rectangle.height],
[rectangle.width, 0],
[0, 0]
]
const ellipsePath = (ellipse) => {
const angle = ellipse.angle;
const width = ellipse.width;
const height = ellipse.height;
const ellipseAtPoint = (t) => {
const spanningVector = [width/2*Math.cos(t), height/2*Math.sin(t)];
const baseVector = [width/2, height/2];
return addVec([spanningVector, baseVector]);
}
let points = [];
step = (2*Math.PI)/64
for (let t = 0; t < 2*Math.PI; t = t + step) {
points.push(ellipseAtPoint(t));
}
return points;
}
let polygon;
let correctForPolygon = [0, 0];
switch (element.type) {
case "diamond":
polygon = diamondPath(element);
break;
case "rectangle":
polygon = rectanglePath(element);
break;
case "ellipse":
polygon = ellipsePath(element);
break;
case "line":
case "arrow":
if (element.angle != 0) {
let smallestX = 0;
let smallestY = 0;
element.points.forEach(point => {
if (point[0] < smallestX) smallestX = point[0];
if (point[1] < smallestY) smallestY = point[1];
});
polygon = element.points.map(point => {
return [
point[0] -= smallestX,
point[1] -= smallestY
];
});
correctForPolygon = [smallestX, smallestY];
break;
}
if (element.roundness) {
new Notice("This script does not work with curved lines or arrows yet!");
return [];
}
polygon = element.points;
default:
break;
}
if (element.angle == 0) return polygon.map(v => addVec([v, [element.x, element.y]]));
polygon = polygon.map(v => addVec([v, SxVEC(-1/2, [element.width, element.height])]));
polygon = rotateVectorsByAngle(polygon, element.angle);
return polygon.map(v => addVec([v, [element.x, element.y], SxVEC(1/2, [element.width, element.height]), correctForPolygon]));
}
function RankElement(element) {
let score = 0;
const backgroundRank = [
"dashed",
"none",
"hachure",
"zigzag",
"zigzag-line",
"cross-hatch",
"solid"
]
score += (backgroundRank.findIndex((fillStyle) => fillStyle == element.fillStyle) + 1) * 10;
if (element.backgroundColor == "transparent") score -= 100;
if (element.points && getVectorLength(element.points[element.points.length - 1]) > 8) score -= 100;
if (score < 0) score = 0;
score += element.opacity / 100;
return score;
}
function drawPolygonHierachy(polygonHierachy) {
const backgroundColor = ea.style.backgroundColor;
const strokeColor = ea.style.strokeColor;
const setInnerStyle = () => {
ea.style.backgroundColor = backgroundColor;
ea.style.strokeColor = "transparent";
}
const setBorderStyle = () => {
ea.style.backgroundColor = "transparent";
ea.style.strokeColor = strokeColor;
}
const setFilledStyle = () => {
ea.style.backgroundColor = backgroundColor;
ea.style.strokeColor = strokeColor;
}
polygonHierachy.forEach(polygon => {
setFilledStyle();
let path = polygon.path;
path.push(polygon.path[0]);
if (polygon.innerPolygons.length === 0) {
ea.addLine(path);
return;
}
const outerBorder = path;
const innerPolygons = addInnerPolygons(polygon.innerPolygons);
path = path.concat(innerPolygons.backgroundPath);
path.push(polygon.path[0]);
setInnerStyle();
const backgroundId = ea.addLine(path);
setBorderStyle();
const outerBorderId = ea.addLine(outerBorder)
const innerBorderIds = innerPolygons.borderPaths.map(path => ea.addLine(path));
const allIds = [innerBorderIds, outerBorderId, backgroundId].flat();
ea.addToGroup(allIds);
const background = ea.getElement(backgroundId);
background.groupIds.push(ShadowGroupMarker + outerBorderId);
});
}
function addInnerPolygons(polygonHierachy) {
let firstPath = [];
let secondPath = [];
let borderPaths = [];
polygonHierachy.forEach(polygon => {
let path = polygon.path;
path.push(polygon.path[0]);
borderPaths.push(path);
firstPath = firstPath.concat(path);
secondPath.push(polygon.path[0]);
drawPolygonHierachy(polygon.innerPolygons);
});
return {
backgroundPath: firstPath.concat(secondPath.reverse()),
borderPaths: borderPaths
};
}
function subordinateInnerPolygons(polygons) {
const polygonObjectPrototype = (polygon) => {
return {
path: polygon,
innerPolygons: []
};
}
const insertPolygonIntoHierachy = (polygon, hierarchy) => {
for (let i = 0; i < hierarchy.length; i++) {
const polygonObject = hierarchy[i];
let inside = null;
let pointIndex = 0;
do {
inside = pointInPolygon(polygon[pointIndex], polygonObject.path);
pointIndex++
} while (inside === null);
if (inside) {
hierarchy[i].innerPolygons = insertPolygonIntoHierachy(polygon, hierarchy[i].innerPolygons);
return hierarchy;
}
}
polygon = polygonObjectPrototype(polygon);
for (let i = 0; i < hierarchy.length; i++) {
const polygonObject = hierarchy[i];
let inside = null;
let pointIndex = 0;
do {
inside = pointInPolygon(polygonObject.path[pointIndex], polygon.path);
pointIndex++
} while (inside === null);
if (inside) {
polygon.innerPolygons.push(hierarchy.splice(i, 1)[0]);
i--;
}
}
hierarchy.push(polygon);
return hierarchy;
}
let polygonHierachy = [];
polygons.forEach(polygon => {
polygonHierachy = insertPolygonIntoHierachy(polygon, polygonHierachy);
})
return polygonHierachy;
}
/**
* Checks if the given point lays in the polygon
* @param point array [x, y]
* @param polygon array [[x, y], ...]
* @returns true if inside, false if not, null if the point is on one of the polygons vertecies
*/
function pointInPolygon(point, polygon) {
const x = point[0];
const y = point[1];
let inside = false;
// odd even test if point is in polygon
for (let i = 0, j = polygon.length - 1; i < polygon.length; j = i++) {
const xi = polygon[i][0];
const yi = polygon[i][1];
const xj = polygon[j][0];
const yj = polygon[j][1];
const intersect =
yi > y !== yj > y &&
x < ((xj - xi) * (y - yi)) / (yj - yi) + xi;
if (intersect) {
inside = !inside;
}
if ((x === xi && y === yi) || (x === xj && y === yj)) {
return null;
}
}
return inside;
}
function getVectorLength(vector) {
return Math.sqrt(vector[0]**2+vector[1]**2);
}
/**
* Adds two Vectors together
*/
function addVec(vectors) {
return vectors.reduce((acc, vec) => [acc[0] + vec[0], acc[1] + vec[1]], [0, 0]);
}
/**
* Returns the negative of the vector
*/
function negVec(vector) {
return [-vector[0], -vector[1]];
}
/**
* Multiplies Vector with a scalar
*/
function SxVEC(scalar, vector) {
return [vector[0] * scalar, vector[1] * scalar];
}
function rotateVector (vec, ang) {
var cos = Math.cos(ang);
var sin = Math.sin(ang);
return [vec[0] * cos - vec[1] * sin, vec[0] * sin + vec[1] * cos];
}
function rotateVectorsByAngle(vectors, angle) {
const cosAngle = Math.cos(angle);
const sinAngle = Math.sin(angle);
const rotationMatrix = [
[cosAngle, -sinAngle],
[sinAngle, cosAngle]
];
return applyTranformationMatrix(vectors, rotationMatrix);
}
function applyTranformationMatrix(vectors, transformationMatrix) {
const result = [];
for (const vector of vectors) {
const x = vector[0];
const y = vector[1];
const newX = transformationMatrix[0][0] * x + transformationMatrix[0][1] * y;
const newY = transformationMatrix[1][0] * x + transformationMatrix[1][1] * y;
result.push([newX, newY]);
}
return result;
}

File diff suppressed because one or more lines are too long

After

Width:  |  Height:  |  Size: 17 KiB

View File

@@ -0,0 +1,160 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# 3개월 계획
# Excalidraw Data
## Text Elements
인수인계서 ^MA7OWfGQ
공사진도현황 ^7ON6GOqy
시설현황 ^UbIQxDyf
예산현황 ^V58gHRUj
총기현황 ^PXUXxYQ7
탄약현황 ^VADILp4t
물자현황 ^7Nzh4RC4
월간 포스트 형식 일정관리 ^HlMItY0r
3개월 계획(25.9.5~12.5) ^KhmvsbAC
1년 계획(25.12.5~26.12.5) ^LbYkwFZT
## Element Links
RY1SQJOP: [[인수인계서(군수지원부사관)]]
TsWFH4c3: [[공사]]
fcpQDzIM: [[2025년 월력형 메모형 일정.canvas]]
diXnbbWq: [[탄약]]
PeMdOz2Q: [[3개월 현황]]
K7ugfaAx: [[예산현황]]
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebQBGADYEmjoghH0EDihmbgBtcDBQMBKIEm4IACUATXiAZQBFACkAeQAFVJLIWEQKjM0EYmJcTWDO0sxuZwBOAFZk2YAGAGYe
RfikgHZF6YAOTf5SmG545eWAFm1pnnPE9fieHl2dvkLIChJ1bk3d3e19xLnWbxWazM43XaHSCSBCEZTSbgQ6baZbzTazTY8aaJRK/RJQiDWZRjNCLAnMKCkNgAawQAGE2Pg2KQKgBieIIDkc8aQTS4bDU5RUoQcYgMpksiSU6zMOC4QLZHkQABmhHw+DqsBJ6Ek/I0gSVFKptIA6p9JCdyZSaQhNTBtRBBB4lcL4Rxwrk0PECWw5dg1McvYsyW8I
MLRe7mJ7UBwhOryQhBojASGugwmKxOCdlollgTGCx2BwAHKcMTcWY8H6LXZzVOlIRwYZQJNe9HTeLnc6YxLA84EwjMAAi6RbxG4yoIYQJQuEcAAksRowUuu8AKJ1c7EHjKTQAQUwzmwAAlcJJNgB9UiVSqaCBvAC6BM0wlFa+CmWyy7eRR/kHKEjYPQyz6MW86kEY1QAEJ7tS2AAFoACqJJIiEXhQe48qUPTiOg8pUlQP4AL5Qr+q7/uOEgNJg1S
IXUkgNKcurOFA5jKqQkgmvOypYd08C4YSpAEfeq4kT+xSrmUlHoFA2BtBePC4HuACymh1LswxNCa1R7g0yxwAA4rx0D8RU+FsIRomkRJaYAeglQXnS15GIhAAa0xGPBJomjAkh1HA8FGCaszGThZlCRZIldGJq42aUdkYBwlTFtM3akIsuD6AAVheBk8PQMAAGrztSACOoWmRI5mWdF1l/lJFQmpozjKRQWXEFlQ6EIVBCJseF6IS0ygANIVb0VU
RTVJQxV0cUURUyiuXuFDHiaUHHvQuzKhezD7K5mxQE0mDHKRfHjXhk1RdNj4EkQHDUhUeR5IAHuOABhDz2ACM1gA4gwAFIADrWvYAA5OAAtjgABvYANQOAAC1ACUD4PkqTICq2qCTvg06huxmUIIu3CxvGobMO4uErl03o/vEN2htgQgUgYQ64FE3BxRA+jEG0VJyEz9U0wgLT2CQTgjpOcY5BOU4IKdEB8gKs4isQykM9gkh0tY9ChGLaMS/V0u
CuG8uK5I74ZFkUDcJSQha+RUv8rrr5ioyzJssqzvGTrsuii0foBtwdySy+pDEEwCuyYbH4m2bpAW37zKB6Q4qOxIrLOzx0cB0wnv8t7pKS6qwQcFjhWDoQoy4ajYTEW8M3/qKWBmcsUUzTZDUSMpe6bC0JrKgZDRKmFUpYKbBKTGgzi7Ocfy7KcPBbDwFzxJCoaBqgGx3Ci48bMsizovPGIEh8xBfGg8yLCi6w1oCPAYpPrxpjCcIIl6syXGsF+V
ss2w77MBJEtq9YCNatJ46SnQOyTkYClRuz1kAio0oOCynlOHAkucNRagEk6coVpjQIDNAfC0aAb6lCNDaO0Dp0HjgJK6SQkZoxkzTL6TOsATjBhnMKBcS58g/ggBQDcW4dz7kPCeM8l5ry3iuk+DG5BMg4zQHjfAA4a7DzwucF0dtqG4zjHIgmiZpJP12BcX4498wZiLNwZY0w8yhgLJmEsZZcJrC3tiTe8wBzDlHMjMultSgvjlkbT8os0B5HEW
mRszZkbxHbJ2W48Rpg9luoQe66j8ZpkRrSaSHiCQtkwKbCQb1PpfRdJQRCA8Ki5O+kqZUnAoB1EIEYXCDxlgol7J2dYtZEidl2F/DGlSABimU1RL06WmTJUA9xEGUFwCQwRlSD0sUwVi7hRlwgmTJX0So9DZFwPEpg0iYwaJ9KQOE8SCBFKySU96ZTv5CCgGwSo4Qam4XNp4yAd0EDHlhPCbJy9tCX0KI3UMCV27FkSAZFopUTqhj7jJYpQ8phmM
WMkTY5wVgxODF2XYl8CRLxiZcJYY9EWz0eL2fEoZ96H1QIkVKKIzjwoMZsIlBDoTvIfsveYKIqx7GDIkOlWJezfw4MSXCf9HQAPpA7YBEBQFciQM+G27t7YShgeQOBcoFQzLTMgkhaDGQYIJiKnBZKGXCqwZqioZCVF+CoR6S0oZ6H+kYUGIVss2HfkkgAVXnLsTAyhCrVH8vgakxZ8CuTYHuIcR02hGUpuqyR2NpKyPkYHRRhJziFXNRGK1Mi9l
aLCZ2NpVZ579lmYWLM+D35GOLTYjg5Y0AdiaTwXEC9bKuOCGODW6M0zeLfGHL8+QgkNibAzMJESuxtJifWuJCTM1JNKCk9x4sMnFIkIAV5rwaABHJwAI82ABA1wAlmsFIoCcz5EAV0bp3eUyp1TaknEvtoeFs8x6LCfvEFYmIkE9L6fgAZC6smLPGRUKZarSgFnmQQH9yzoCrIJOsqIWzSA7PjTag5/hjmLvQMerdu7LnXNuawS9aBHkTteUyz58
RvmzF+YcJuCVELMBNN0485xsD1wyZVdA/RBjDBLkqRRzgkWgm0N2etfZOzv1zJik4pxZjaE2JsZY89rgjvWBYtMpK8HLweHEd+txdiAjMdEwtt8iMnHbNoYE6IOnSYpUCA4oYf6CswTaaBicpXchlTLKBYrFUyhVYgjGaoUH2gErqJWIhpW6qwfq1TtDCEipNRIM1FDhBugzcvH0Xt7XL2YaGPWaip2aLTGEZGaxzH6cA8YktqA6UlcgFYospYq1
1O7OccJlZiXBIHa2tsswOwjuibE/5zaEAdZRvO0MTrFwurTO6z13rfU+ADUGkNYbMARrEc+O2viTYTZKHNZuMk5IKSUqpdSmltK6X0kZSWkLBLCQrl0Ptzz4kPQkE9FdcMEZsCRmkkb0asZwazflomHDVxRZKBTO7kGabXP0PTRmaBmas3Zr6aMO2eZ8wcILBAwt8D+OG5rP2sq9bByVirDgatozpO1gTu2RPQ7G0VHhyOTyvFU7lo5kBydXYs49
mlpevttYxyDgbDb9PUD4f52nOOHnE4c9TrHDOdql5/1KLnLIBci6cbQB42700E21yqiFcjhRKPSQgK6zQ85qJDhgCnCFLHoDQtDIo1YTw2WcsWJfTeyxG1HFMR7qTGJevROiZpve5oKzj20IkS+T9zFJCRVHgkd8PknG01caeDxwnPCxNiPlAruBCqIYAqXIDnOhY7Vz+VCcZJKvgaq8pfnYvoHi2Fm0EXET2dpI3x02ryFZcS5aqM1q6E86YY61
h43e1IJjX96d1dE1mU2Gm4gOXdmz8dNophHYMRR6ReW6xKfvfVbK5W6ty8OnhPd9sKrZQBtDYpx29b3acck22/VBKWRkqpU2OlTKOU8oFWKjKjGgEmqiujACIijX7VCWkma26yiTHVaxnUe0STyxnQ+1STbSeXt1OQkEAB2hwAEkHT0KFCkUMIACCiCulsgL0GtkQwRcRsUbhZ5sRrN1U319B+kKwv0RkxkwN/0lQgNzAQMeCYEIMqZKlNl3RYM4
1/tShmRDl858AD0KhyCMMbMrkbk7lcNRdGcCM3l75iNSNDdX9bITdCpZhdhlBjxKhXUspe47dhkuMphzFkgQRVgcxawwRgwlMfc0AtM4hsQbhzCLhMQkhQ9cEKxJ5/hHh3d2lzh35BlSgk9mVolJMuVZ4MQt4n1exDVbN88O9RUFUnMwEXNQxIE7Y2doAa9vNFQkEG9UFTUe9DQ9Uw98F8iu9m80xKEV8QcIBbUs4Msx85wJ8Al7sVRp9pC194l5
8qpdgl8V94N8sN8vR34Owexfg98TF8FKwNjOA6tT9cxL4H161r9BwRwW0508dSjH86dn9RiQlB0YDh1bg1h0iJ0ntV9UDnl0CLj21sJSDAAIMcAAaBigzokgnA9AIEkE5Xc9e5E4VlMEH4DpIlDpaeBIyACpbIXpdgj9TgiFAeUDP9THADI/UgYDfAAkqUUQtMKDCQ7ZCYz43oxDI5RQgE4E1QtMXAdQ7DWEhnKOUMF5PQ5PL0QwnXI3f5E3NoVy
V1VyGiBoRfZjc6bA4kiAJ3QlG9IEOTPRGTDsbwyAJeU4GTG9JYCzHsGJTsMIslDES4REtYZ4Lea+NEqQQzL0bEKTEddlcxWTSJXPX+fIioyVcBVzW2VnYvSorzBBGo3zdUdoxo/ItvVolvTveouLWMvvC1bo1LBhfUzLNMMbdhEYqfX7ek3XJNXAaYOY5LBYwhJY5ebYGTQEBtHY5ZLEIVGrXY2xOEuI04HEdY/rM4wbH4rAztYgYXZ/cSN/E3Jq
FqNqDqLqHqYIV5AaIaUaS7O3UA7XMAO49rIdLrSJUdPrZJZA3LW6b4r7S4oZUgwAXFnAAGOqhMgHIH3SvNvPZOhKoJ5JZU2BRDmG2CYNuHOFrVfUxPfU/TxO/WEMmSJP4LmUEPJPApWTgDWXEJgxnwZLkKQxZPBIgBvLvMJC5M0IeR0P5K2UFOSJFPAIo3FIqE2GLCMEkHOEqDpGUQVIEgcJhRHiRXCX+GeH/IpUrFMzEzQE0xIycSSEeCRU2Bzx
JRaPJRBBMxxF7GRVvUdKSM+TWE/KjxROk3OGngCJYNKFyOzkTIKKrwlVLwgQrwqNgVrx83VTqICwaOdDjOksNUL1tGTKb1TM6P7wzJtRHwdRYSGPzNQECULKkWLP+QUTMiggrMH2POzWkiBCtKfmcSLX30EoxVStqw7LQGrHnmeGeBcX7Lv2+y8WuL8S2zIkkgSkWmWlWnWk2m2l2k2H2kOmOmAPChu1EkgMgHuKG1gL3N63HSIsnQ+JPM+0wK4I
qEAB5uwABPGcKHylCJBZqcKMSql3ykgXD3d0UdL4ifzAKoAsSOCj4uCKT0A+Dy0yTTrwMELIMkLJCUL9l5DkNMLlqXzIBOSsN8KI4+TDz3QSKDCflRTjD4oTdjx8BlJ5woBqhFgWRmKYEHc0xuMzFgQrhET9h6lUpQjF4pgkhXTVhwkQRcQ55UQLTItzN+NtL1gcR1h5gMqDN9DER4UKbcwOkutngHhr8DLUAC8RV/SzKgy5VLKqiIzlSNV3Lu9H
KjL4zeA2jxaOjSgujksei+j0sn1BjGxhjgrOETQepCAAAZYgNgegLlKCCgbAeIBoSoeCV1V1BoZSVbCRIslAksqK1NBLOWeYmQgQGs6eNYXGulJs7gX4Vs4/PYupMeG4W4Y0wqtxM8343kMqzbSfUMXqodO4HMB9VEVKRAh7Eaqsr48azXEq7oUgwAFbHAAQGtQEABvlwAEqHAAOpdQEAFQ1wAXaHUBAAfccAFQJyGQAGs691Fr0AK7q766m7W7O
6e6z03ytCkhJMQRNgn08V71phrh9rDqcTjrQLuCllCTpkoLSSYKrrrkbqxCNlkLwq6EmSFD+6IBB7a6G6W726u7e7MMNCcMCKfqkC/rnSvlAbyKxSTCKhlRsA4AGghwjB5x7a4aJA2MhgRgxg2LUAeMn4GlsQ5h819guxdSIAl5nADTkRnhEUs6Ng6Vd4pLwj8E4i4ht8uwsRQQabr8VKThErI8KUcQ5hY9Ob+VfSjK+biiy9mc3NyjQyrLqjRa7
KHQgt9Q+H/5wtpKejXKYzJavL0ylbMyFdR93b01YrRr4rvhnhpgQ6K0jMUq0w2yT87Edgmslhuw9KertzHj067gwQutbgY7zi46sC8yKqIAdbNkDajaTazaLaraba7aHaH8fEn8KqdsEpqJaJ6JGJlhmJ5l2JOJuJ2qJpOropuqIA7p3iIAnoXjZhAARRtQFLsAFIOxu1AQAFS7AAKrsqc7t0FVlCDezGowKLvPOV3GOdoJkBwCXJlIjBxKFGOpl
pmhwZlwC5kkgRw5mR25jCDRwFmsCFk5Ox3J2Lv4eDNFBpxJzJwmspwEblhp1HO+qZ15AstDKThdnxwOe5yzJ9iVwTolyOafxOdlyYH9Jl3Fzlz8u5pzjVFV0yELlYA11x3Li6tqgiumLwjpAbgov/okEKlDXnD1rgHOGVKu1Ysd19y9ykzpXCTnuxAkwEoQdzEk30arF41WMWGvxUwrA7CuBRP0crBkziMPydIZpdORCD2eBa0Urpv0s4bs24Yuf
5tKPOcKOr3DLr1qOjLls8uixkbIZlqMoUZ1SUaSy0eVp+bVoCo1qCpf0gH0ESGqDYCMEKhNGUlKlKkQkIG6WUFmHNc9WWDYDCc6adritskiqqjpDdrTM0ejHzvX0K2DHmHMX2ENVMe4G0p6NMbDtMW0qrCxC7FcYHPcbWwiZuOXC3OgKMbgP3KrDeO6eSVPL2YvMwsABGFwAX1H5qwTD0q2VqYSp6usUQwQuxKa9F1MV7gLcSy3N7f0IKd6Lr964
LrrEKT77qz7ZCL7nq63q23rcLPrX7XnhrCMOXv6yMgbKr5oJBHBXIOBNBNATRypIHWN9ABgYHON4GngcWms7gCWcwl7iXnAcwGkawMHzCngt54VSamEKV+NaG8UE2OxE8v7EVJN8G6wIRuwawfShX8teaRXeHzKbnK9xVhGRb69ZX7KJAJGQsmjFWyU5GYs5XFGFbvKVHfK7n/K/Xl9Kyvag3pIQilhA60A7Smy42vRmlwlcwn0CRU7Hjdyesx0b
Gb8irBzdXnUgc0wjWTWzWLWrWbW7WHWTQnWXXsnhzRyomJyKhjwspsdlRzgVplRnB8A6Q6gmhCBqhXUjAoIWhEh0mLpMnrpwdhq8mnoq2Wn+SS32n46xj3XtGAdeopPQcBnsmRmocYcJm4dOFpmkdJnJJUd+ZHAlnMcVmcd79JIyjDmDYdn1YfPTnrYUPnmbjl2rYsvRQPmrn9nNniB5d+i+cyuBdSBiu/FSvMumvKubdGuJc6v0sHmVR/n85AX1
dtQtdwXN2589c8IhxYW/6QaKhhpJB9B6BmB9wYWT2lTHCR5Th/yTNzDsQt5pMOluwn2HglgrgMQJKvcwQvcy1SHCPVhrSs7R1mko9lKv7OxPzzNOwngA9tKYlYO8jhWJXTKkOBb3MQf0PpWoz/NSF5XpHW9nLZbsOPLSP7zyPNXVH+idXRtx99XOFMBcAjA4BXI2gTQDI2B4gtBbbmBCpqQ9bCBiwWRsnMYwqi34ovW8JukYqA36OCtGOn1bgt5M
HI3fCH12Psqz8QR54NgSGm0xO02riM3yrk62sc22wHGH0Hgv9C2PW0DC7QWsCHCJBlhAAcGtLtQA+kAFi1n6a9WggAPweBM2hj7tILN4t+t9t7JZM0d8oZd/2uoPEz+F+7nu0u+9Za7exJAt7auvOqLUupHcPrHegwnfZ8gDQuZKvvd8t5t7t596d9mH97UMXffLF1+tXaFPXaMK3d2wgDaAQGUlq6MB4B7g2+gY4zgaxe2/rTiDvb0SrERRkzu7
TGwY7D+G2BWGiTzVWEBB/a9ATapWl7MRxFkxkxA7XYeG2D26fkpu7D0cwa5p5qwR4alWQ5q6FqlZsuVzEcCz1Dw6cqVaI+NRI7VbI+Ucx8o7Ueo6Uf9bT4Y6jYyIi9j8picxBL3qxMJpML7MxNMD452MjMmvYEEmzZanFY6pbUoJ42C6QBCexPUnuT0p7U8GgtPenoz2Z4udwmXaTNpgOiYm4gIIEMCBBGgiwQEIyEVCOhEwirlFS65cbpuV17oA
no2fHdJ52LYG8Mu6JLpnrwEC9MtawOULmQNKDhc6Y4zeLqUFi6cxouVsRLujhS5Y50u6zM5kVxy5NM1mHTcvAYJDjHNeSBXcrqhydhVcyuFeXrrzn67+xY4LXcOJYLeaS4QelzLru1x64/N+uKuIbggCBbFxRu4sDclXDKCc9CQkaTdsbgqB61NA1QakBQG6RIQ7CipTFojW+DaUpMuYXMEvVSi3pTuYlSPP+QoYPA322xe7pFmX7lDzCiKd3BcH
iLr9K+nYEjLWi7DzwCGhQwHoZXg7H9EOp/cHoI0h7C1oetlLDnDzR5GpEeSrFysRxR4S1X+6Pd/jQix6q0cy6AvHlm1Cqxo/+UxKboSHnA88/+/PCsJ4QuDb4WOvAR4GANPy1gZ+5hXfH2VQH5d02FAlXgWRTpwDOsebQaiJ1yZ/9Z0ivXthUHiAlNPe16Avvb3rQJA/ervTCpCJz5e8ERPveEQXyL6sFJ6dSU4CZjOCuF/yqUDsA8Ej5HVUAjpY
ZLH0gpDsFkifKkvILup0k/+GfS+qQRRHQiZ6lDOES4URHP1uSWhMvh/Qr6kUf6fyeFugF076dDOx4YzqZ3M6WdrOtnezht1ALwMcGbSKTLWEnjohgwwYHeMSySBPoEgUedYLPBWBe45gc/XgF/n+AUpCRweJemywYaPx0UqNcSjEQfaPsbMgrIHoMIczDDAyYrFDhf2VQYcZWsPLVLMNcrS1r88jF/r3nVYD4Nhn/bHtsMgAYCfhP2NnhIOiFQtC
QTQM4eoKGQsYeAlcBMMG1jwaVVgtwjBg8LqRdYs6YIMkW8LcZoCE6yvJOtmKgIPFc2e5F4gW1c4gjvOhvAkHADYDxIxyq4A1mAAeaLAfw92MALOJBCPBvk6da4GcERJVYSgzgCSp+TpTaYfgjBNpL8EXGkRZxSbL7g6K9LmJnRp0HBh+w9Fftp43o6YIuOyb4BQgUABkPoHYIyBBgbQScSLkDYUh5QUAKCFMXiTKA/+WQYgJBNFDQTlBkAdIH4h2
QQBd2+7Q9se04QVIRm+ef9mPFuCPdsQj6JFDuIgDKBcACFdKhWN1TgS9wk0GELgEnYoTRQjEgiMxJNzqjQwQQF8BQEHLV8EhgEYCKBHAiQQYIcEJCChDQgYRMhIBS6BqK6yfkdSPLYrIUMdL6kvSVKBxBSkOJncbR53YPA2Vkxjw9E4vUMK6NQDXBPy3YNEGilQaSUOSfogYQq0DHeDRWpg8/kIwmFX90SN/ByqsLmGmgkeKrRMeag1apjh8VHAY
hJ01ohVHauYgLhzwLG4AVyNHFfMzEhTliIWixMJDpVBDbVr8ovXgD8AbGdkL4rSR0igPbEfCleXw7scFWzZ9iNeKwRxtryfi8DA2oIjsRAAnFTiKqs4+ceeJ/CzijJzhYiQWnMloldxNk/jOiC5QOTKw2ID8XIOeTfjfx/4scEBKnHnCogpJBCY4H5TISMAT+dCTUHqDNB2gWEFUB9hphTAT4hKKoZPBsmL05euZaiYiAaRNjuKvWCSr2C7B0S0w
cEw6UhJLGlBUJJsdCfX0b4tBm+rfXCXdOjDOAT4mdf7jPyRST8ispESiZ9Nom5TosDEpiSEFYmJRiAHEiyFxI6qRQCQfEiyIJPiGUUoGswfQHrXoCuQZg84V1HSHgj3RCA+gC8PEHoDsz5J1MqgBqPnjJAWkNk7EB0muB6IjRqIEjHPWOLSYH0S9RFDaIkokZx42ldEJvBkwlDLJH3A0fxgpS1hnCEdMqb6LzyuSEeReDyWDxDHeTxhl/SMlMKjG
BSkxbkkKUq3jFLCZhQUxWh/2ilf9YpuPQKnsMSkHC8xRw0snrWLGoAspZYoGdWTCRRI3urYkxsALdHlT8EHQy+GPxOK35xO9UkcpE1V69i+qTxfNkCKPLJSC6bTMcaGH6k9o+mM4v8MNNXBLjZx2s/jFbM8KGyE8f4HBqbNuB7Al67hPWbsFWlDNboG0gwFtMAnATPkoE/aRBKgnHS8xIMzeTBLzFgTSSFMigFTO3nsTiZLEsWUqDpkCT3GQkpme
gFiZ0QGITEXACxDYgcQuIvgs6ApOEgaj9Gn5L3OEhiRmI4UybbGssU3g3pIBIC44isEdK0t5+TvEEMHVRLSZ8WbQ5IkwTNlNDngdwGsf0N+bA8TKAZEol5MFo+S3ZojaYdGKCmxjpK/s5/ssPlprDIpQ+WQtqwzGUTdhlcsQf50DZxyzIEDDKclmTnnQcpE3f/ssXqTnxjGpWQxmgC5RstY2kvaXoCERRyyU2xVEwVLETptympsA9XrWQQFZ0Tuw
4vMT1LqlphW504roENNOgLju5F4keQXISDmEs8s9OetJgfEY1sFSKXBbej0SzyeB/JBeX+LUDbSV5e08CaDK3lJzOEkM7IOdNqCNBWgHQHGXhPumkgTMqUfYGgv0bdYwQOMqiTRNQCXA8U9aIBSmCtKJBU5bE+CbvJOkJKoA6EwBsA1AbgMbpGS5GSfE36XwZMy0pBliG0xFK8Zy8a0t2ApRmYuwwYTEJsFqXCoiZnEkmbBLPlLKL5GTGmbxPwD8
SGZv9YGtuz2zyRFIKkNSBpFwBaQdIekQyKLI2Xiyu+CDPYJJgxDfkWhRWUEMS0YInx0U5mfRu7kvguNahJwLfCZnni6YkGNYETlZJzAuFKw1jLeLiFHQcNbZhCgMQ7OIWeSNm5C12eGMmHX9qFXs/DvMLJQMLiE4U92qwq9CbDsy6tSTj2N4VJT+FMQ3AMWETmiK7E8yi4W2DNJ6J0UxUnOagFWAidlF4Ar0ICH/Jgcs58UEuWCNKpdi9FCUtXi1
NrKCdnizQw1MCPMWjjRBfUleYNM7n2KRpHc8iDg2BXAg9EW+OIhCofHQrXFNwNWYeMRVBLRiX4ikJtPCXLzdp+89eTEr3lxLJITSpJZdNSWdKkZBEh9B4XhQT92wQRC4CMpKVYgoFuYTEMcSXpcpUQ8yneYhNiXMwA1JuajLRnoyMYQ1+EkeKjPRAFSx4qwL9grM4TFLfcHK9eUfJPkNyyZTa5ZbcqvnbL6Zt8xmZKMolLQVoa0DaFtB2h7QDoR0
cFKWM4GKT7lMwXECZhWB+0tgOwfYMS1kyrwteXuH4L8oko2jGCB4zGoCCXopEOkGCz5PtyuBtJrh2lHfvcJtlcNUVxlcVCQqkaFcXZJlKHn5IG74qUyMY5on7OR6BzvZLClMWwvT4cKaV8U0YqzxjktqBFVUFoKys4TZSOVNZHjkkEJERt+V0AvOSyhmVf5qWmi0ueQPLmUC6VEAfjv2K7CzK2pXU+jhYublWLdVmAuxZ3MNW2KR5+6qTIeuJEnq
ZpYAC9YS2vX/KE2Tq+ea6sXnuq2YkSr1dEoaXgyUJZ0k3BdJSXXT0loa0tS23MQWj9GbhIfljUkh1qvQ4ivZRDNFA+rGlSmqijRTooMUmKiMktQg1RlLBihzykIophWBxqfYUC5FAiQExtJqWDaxZZTPbUtq4Jba9ZY502XAyu1N8zAnfL7UOQnIlQFyO5E8jeRfI/kQKMFBuVRa7lOQkeItNNGZEdRjiSeGup5UJBs6eC2sFHTZYILKR2SmlJng
krZ4ah9NSvmPEkzC8qw3yj3AHXvVwcfZT6tkBiv0Hvq0Ovk92Xis9m/raF/64lYBpoXAawwGPKKewpik49cy3C8jTBoeqQtjhuANJcIq0ZsrEQqG5GEsFJZz1cQtwh9rhtwZXdVgyA6Vb1I04VzyNlG/4QOOaGOkNVLahjdqusV6ryIXctacuL/BPL9GuIFrdcCXrtbVwXWqBYKr60Ikal3cz8aEqXnSbPVLag+RvKzW+qc1VmiQCpqunHbJIXSg
idngfRz1QQyVZpDY0zGjL8ROpTeISlTX7jBmpmupRZtk2Hzz5pM8LYLsvm0zYtuyiUfNygZJQUoaUDKNlFyj5QioJUHCVOp/nRaJgONaePxl0lcpok6wTxWuupYHilgXuB9ML1u2ArBKsmZEF7knhzwUGK/M9YiD2BRFQ2l3eWQBUG3+jhtJ/YMWQoh4fqptVC2baj3m0EdVMJKpMkwvh6rb1hYG3ohBrin6toN4guDUyoRk/9aOp25DSnIJne0c
08KUkauLu2EbMq7ZEVbWTtI5KnJUqhXm9t0W3EDFSq/qu6WaFst/t3UrVcXR1UDSWN+qtjY4tGl/hCRtu34Dtyn7YhRMf4IZW7t4rSZPdSQMTSEok1hKAJOOkCXz29Xya/VMWm4oGtU0U7WCjmk+GcHHn/yiJfYMBYZtGWrAM15mnfcTv30m4zcFuTAFbi/nokNNTm75PWgRXmj602wPYLqWZ0lLIFZwCeQP1xTaZlgQWgXWsqF2rKQtkW67BrsU
07Ke1pm4SegCnKtR2onUbqL1EXKDQRouW1A/ls13bcgQked+Idx6F3BJ4OdLBl9Pdz5C9geiXMEcQG3KZpKZwMxJHm2pcp3c73NdtpkuDtIuUnpNNdPAIVH93J6Kp2QHrGFB7KFmHUPSsJW10KANYUmPbMODnrbwNm2zhVmP0XRz9tnrVKZUCQ2SQUN+eyRbwDPjSZy1BjNKraJcNZVK9awNtoVNkX/hXtli2VQ1PlXNTq5Kqs0TcCFSd76N3e7R
cDv72g6DVQ+o1auD4PIhcQhKH8vxtHiAgEg48SQ2cGkPc7NymO1fdjp2mb618+Ovnbvohkk77IyS8ncWsyU/6zuuiMeFsBEz8t0Boy7XRPLSLaU2kvYTEBuwkWZqjpRO+JXUbr5SkZS1QOUk0ejAnweyZwSeFkTvQxIYBta2/Z0KKG7HdjyVOAyMhF2nzyZxxvLZ2owPxbe1Uu9AMNE2B+BJwB4Mg+31gavruMgvBpGdxxB0FrgLWYlv+V+D/Aaw
SQalnkZrU8HH+TWcQ1HlX77j34XR9lpXy8OfllJO+NpO2Fr3vUXJKK33UGNIWYrA9k21Q5GK7y4cDQD/QjktoJXkrQNlKtMVsKFTZY6OlRmsuPEJa3CNg7hivafgkpAguUXWQ1F9qMVoybJ+4ojTKszE7bTDJGzTjwpyb1z8meQSEtuiEH68m52qvbaTMJhBd25pMWQXPKpiQ5FBsOGo4azZgzNkJPVeZklwxw6DjB8dAk9TkMGk48ujGzLhXjcE
i5hRShkMt4M+b2CUOjg+5p4M9OfJvTpVCXJ11dhNcgzdsvFQCxCEjdS4EQ7gVEPg14Q6gDccAEEkJBwA4AmoQdPF2gAwhMgFQYYKQAeiHAGAhABABQCgjitiFycf05AGphCQoZLYfQJqCGGOyRhhQCAK2dVSQ0Mg9Z0MRQpxVX9+zIgQcx2e6QBS5t3syc22cSUdmuzRKyPVWYHPtmMgq56PUBvGCLnpzGQSoGtrYUHmtz+gWM+HPkFTnzz3SNgh
SISJnnlzGQO87iNMSIEnzzSjswehpGDs+zm55852cbVnGqyn5oc/oDXBIHj5oW8g/uYAtfmMgR8xCHbj1hwWbzgF7pDGmPPahQLhMKkOqFcgVhMQDSStYotxDPKqzeFxkPgGqA41qwCQLeAmyqUGkqzRgNgAYGUEMACAFsAiacFrDiiNz6FhC/oGPMe1ksce0UPuaFAkBA++CesFwpkstgSlj56S/LDYCBxILrxmVQpZsHgyIAUERkCblIC7hcAt
vcJNQF4DmXLLBwbms7yVC3JlAcYeUBUGMt8hbem8CyxaM8seXbLhfWbteaXNVIRUnsViJwF57To/OmQW5DXAOTZreJ+cEuNJG9P9miAJS5K8ELa7p8rkLyTKyzHlC0hSAxYLGLlf0D5WmAmlxKyc2r69FNAWUBANgByB1B84cAZSOpYQAVXgg2l/kKxEYCIR2L+ATi1djCDBAGrJiCHKM2QvnQu9IgnvexAMB1B0go18rNqpdUjJRrvV/qygV+Tg
AYo368IEzAgJEQgAA===
```
%%

View File

@@ -0,0 +1,160 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# 3개월 계획
# Excalidraw Data
## Text Elements
인수인계서 ^MA7OWfGQ
공사진도현황 ^7ON6GOqy
시설현황 ^UbIQxDyf
예산현황 ^V58gHRUj
총기현황 ^PXUXxYQ7
탄약현황 ^VADILp4t
물자현황 ^7Nzh4RC4
월간 포스트 형식 일정관리 ^HlMItY0r
3개월 계획(25.9.5~12.5) ^KhmvsbAC
1년 계획(25.12.5~26.12.5) ^LbYkwFZT
## Element Links
RY1SQJOP: [[인수인계서(군수지원부사관)]]
TsWFH4c3: [[공사]]
fcpQDzIM: [[2025년 월력형 메모형 일정.canvas]]
diXnbbWq: [[탄약]]
PeMdOz2Q: [[3개월 현황]]
K7ugfaAx: [[예산현황]]
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebQBGADYEmjoghH0EDihmbgBtcDBQMBKIEm4IACUATXiAZQBFACkAeQAFVJLIWEQKjM0EYmJcTWDO0sxuZwBOAFZk2YAGAGYe
RfikgHZF6YAOTf5SmG545eWAFm1pnnPE9fieHl2dvkLIChJ1bk3d3e19xLnWbxWazM43XaHSCSBCEZTSbgQ6baZbzTazTY8aaJRK/RJQiDWZRjNCLAnMKCkNgAawQAGE2Pg2KQKgBieIIDkc8aQTS4bDU5RUoQcYgMpksiSU6zMOC4QLZHkQABmhHw+DqsBJ6Ek/I0gSVFKptIA6p9JCdyZSaQhNTBtRBBB4lcL4Rxwrk0PECWw5dg1McvYsyW8I
MLRe7mJ7UBwhOryQhBojASGugwmKxOCdlollgTGCx2BwAHKcMTcWY8H6LXZzVOlIRwYZQJNe9HTeLnc6YxLA84EwjMAAi6RbxG4yoIYQJQuEcAAksRowUuu8AKJ1c7EHjKTQAQUwzmwAAlcJJNgB9UiVSqaCBvAC6BM0wlFa+CmWyy7eRR/kHKEjYPQyz6MW86kEY1QAEJ7tS2AAFoACqJJIiEXhQe48qUPTiOg8pUlQP4AL5Qr+q7/uOEgNJg1S
IXUkgNKcurOFA5jKqQkgmvOypYd08C4YSpAEfeq4kT+xSrmUlHoFA2BtBePC4HuACymh1LswxNCa1R7g0yxwAA4rx0D8RU+FsIRomkRJaYAeglQXnS15GIhAAa0xGPBJomjAkh1HA8FGCaszGThZlCRZIldGJq42aUdkYBwlTFtM3akIsuD6AAVheBk8PQMAAGrztSACOoWmRI5mWdF1l/lJFQmpozjKRQWXEFlQ6EIVBCJseF6IS0ygANIVb0VU
RTVJQxV0cUURUyiuXuFDHiaUHHvQuzKhezD7K5mxQE0mDHKRfHjXhk1RdNj4EkQHDUhUeR5IAHuOABhDz2ACM1gA4gwAFIADrWvYAA5OAAtjgABvYANQOAAC1ACUD4PkqTICq2qCTvg06huxmUIIu3CxvGobMO4uErl03o/vEN2htgQgUgYQ64FE3BxRA+jEG0VJyEz9U0wgLT2CQTgjpOcY5BOU4IKdEB8gKs4isQykM9gkh0tY9ChGLaMS/V0u
CuG8uK5I74ZFkUDcJSQha+RUv8rrr5ioyzJssqzvGTrsuii0foBtwdySy+pDEEwCuyYbH4m2bpAW37zKB6Q4qOxIrLOzx0cB0wnv8t7pKS6qwQcFjhWDoQoy4ajYTEW8M3/qKWBmcsUUzTZDUSMpe6bC0JrKgZDRKmFUpYKbBKTGgzi7Ocfy7KcPBbDwFzxJCoaBqgGx3Ci48bMsizovPGIEh8xBfGg8yLCi6w1oCPAYpPrxpjCcIIl6syXGsF+V
ss2w77MBJEtq9YCNatJ46SnQOyTkYClRuz1kAio0oOCynlOHAkucNRagEk6coVpjQIDNAfC0aAb6lCNDaO0Dp0HjgJK6SQkZoxkzTL6TOsATjBhnMKBcS58g/ggBQDcW4dz7kPCeM8l5ry3iuk+DG5BMg4zQHjfAA4a7DzwucF0dtqG4zjHIgmiZpJP12BcX4498wZiLNwZY0w8yhgLJmEsZZcJrC3tiTe8wBzDlHMjMultSgvjlkbT8os0B5HEW
mRszZkbxHbJ2W48Rpg9luoQe66j8ZpkRrSaSHiCQtkwKbCQb1PpfRdJQRCA8Ki5O+kqZUnAoB1EIEYXCDxlgol7J2dYtZEidl2F/DGlSABimU1RL06WmTJUA9xEGUFwCQwRlSD0sUwVi7hRlwgmTJX0So9DZFwPEpg0iYwaJ9KQOE8SCBFKySU96ZTv5CCgGwSo4Qam4XNp4yAd0EDHlhPCbJy9tCX0KI3UMCV27FkSAZFopUTqhj7jJYpQ8phmM
WMkTY5wVgxODF2XYl8CRLxiZcJYY9EWz0eL2fEoZ96H1QIkVKKIzjwoMZsIlBDoTvIfsveYKIqx7GDIkOlWJezfw4MSXCf9HQAPpA7YBEBQFciQM+G27t7YShgeQOBcoFQzLTMgkhaDGQYIJiKnBZKGXCqwZqioZCVF+CoR6S0oZ6H+kYUGIVss2HfkkgAVXnLsTAyhCrVH8vgakxZ8CuTYHuIcR02hGUpuqyR2NpKyPkYHRRhJziFXNRGK1Mi9l
aLCZ2NpVZ579lmYWLM+D35GOLTYjg5Y0AdiaTwXEC9bKuOCGODW6M0zeLfGHL8+QgkNibAzMJESuxtJifWuJCTM1JNKCk9x4sMnFIkIAV5rwaABHJwAI82ABA1wAlmsFIoCcz5EAV0bp3eUyp1TaknEvtoeFs8x6LCfvEFYmIkE9L6fgAZC6smLPGRUKZarSgFnmQQH9yzoCrIJOsqIWzSA7PjTag5/hjmLvQMerdu7LnXNuawS9aBHkTteUyz58
RvmzF+YcJuCVELMBNN0485xsD1wyZVdA/RBjDBLkqRRzgkWgm0N2etfZOzv1zJik4pxZjaE2JsZY89rgjvWBYtMpK8HLweHEd+txdiAjMdEwtt8iMnHbNoYE6IOnSYpUCA4oYf6CswTaaBicpXchlTLKBYrFUyhVYgjGaoUH2gErqJWIhpW6qwfq1TtDCEipNRIM1FDhBugzcvH0Xt7XL2YaGPWaip2aLTGEZGaxzH6cA8YktqA6UlcgFYospYq1
1O7OccJlZiXBIHa2tsswOwjuibE/5zaEAdZRvO0MTrFwurTO6z13rfU+ADUGkNYbMARrEc+O2viTYTZKHNZuMk5IKSUqpdSmltK6X0kZSWkLBLCQrl0Ptzz4kPQkE9FdcMEZsCRmkkb0asZwazflomHDVxRZKBTO7kGabXP0PTRmaBmas3Zr6aMO2eZ8wcILBAwt8D+OG5rP2sq9bByVirDgatozpO1gTu2RPQ7G0VHhyOTyvFU7lo5kBydXYs49
mlpevttYxyDgbDb9PUD4f52nOOHnE4c9TrHDOdql5/1KLnLIBci6cbQB42700E21yqiFcjhRKPSQgK6zQ85qJDhgCnCFLHoDQtDIo1YTw2WcsWJfTeyxG1HFMR7qTGJevROiZpve5oKzj20IkS+T9zFJCRVHgkd8PknG01caeDxwnPCxNiPlAruBCqIYAqXIDnOhY7Vz+VCcZJKvgaq8pfnYvoHi2Fm0EXET2dpI3x02ryFZcS5aqM1q6E86YY61
h43e1IJjX96d1dE1mU2Gm4gOXdmz8dNophHYMRR6ReW6xKfvfVbK5W6ty8OnhPd9sKrZQBtDYpx29b3acck22/VBKWRkqpU2OlTKOU8oFWKjKjGgEmqiujACIijX7VCWkma26yiTHVaxnUe0STyxnQ+1STbSeXt1OQkEAB2hwAEkHT0KFCkUMIACCiCulsgL0GtkQwRcRsUbhZ5sRrN1U319B+kKwv0RkxkwN/0lQgNzAQMeCYEIMqZKlNl3RYM4
1/tShmRDl858AD0KhyCMMbMrkbk7lcNRdGcCM3l75iNSNDdX9bITdCpZhdhlBjxKhXUspe47dhkuMphzFkgQRVgcxawwRgwlMfc0AtM4hsQbhzCLhMQkhQ9cEKxJ5/hHh3d2lzh35BlSgk9mVolJMuVZ4MQt4n1exDVbN88O9RUFUnMwEXNQxIE7Y2doAa9vNFQkEG9UFTUe9DQ9Uw98F8iu9m80xKEV8QcIBbUs4Msx85wJ8Al7sVRp9pC194l5
8qpdgl8V94N8sN8vR34Owexfg98TF8FKwNjOA6tT9cxL4H161r9BwRwW0508dSjH86dn9RiQlB0YDh1bg1h0iJ0ntV9UDnl0CLj21sJSDAAIMcAAaBigzokgnA9AIEkE5Xc9e5E4VlMEH4DpIlDpaeBIyACpbIXpdgj9TgiFAeUDP9THADI/UgYDfAAkqUUQtMKDCQ7ZCYz43oxDI5RQgE4E1QtMXAdQ7DWEhnKOUMF5PQ5PL0QwnXI3f5E3NoVy
V1VyGiBoRfZjc6bA4kiAJ3QlG9IEOTPRGTDsbwyAJeU4GTG9JYCzHsGJTsMIslDES4REtYZ4Lea+NEqQQzL0bEKTEddlcxWTSJXPX+fIioyVcBVzW2VnYvSorzBBGo3zdUdoxo/ItvVolvTveouLWMvvC1bo1LBhfUzLNMMbdhEYqfX7ek3XJNXAaYOY5LBYwhJY5ebYGTQEBtHY5ZLEIVGrXY2xOEuI04HEdY/rM4wbH4rAztYgYXZ/cSN/E3Jq
FqNqDqLqHqYIV5AaIaUaS7O3UA7XMAO49rIdLrSJUdPrZJZA3LW6b4r7S4oZUgwAXFnAAGOqhMgHIH3SvNvPZOhKoJ5JZU2BRDmG2CYNuHOFrVfUxPfU/TxO/WEMmSJP4LmUEPJPApWTgDWXEJgxnwZLkKQxZPBIgBvLvMJC5M0IeR0P5K2UFOSJFPAIo3FIqE2GLCMEkHOEqDpGUQVIEgcJhRHiRXCX+GeH/IpUrFMzEzQE0xIycSSEeCRU2Bzx
JRaPJRBBMxxF7GRVvUdKSM+TWE/KjxROk3OGngCJYNKFyOzkTIKKrwlVLwgQrwqNgVrx83VTqICwaOdDjOksNUL1tGTKb1TM6P7wzJtRHwdRYSGPzNQECULKkWLP+QUTMiggrMH2POzWkiBCtKfmcSLX30EoxVStqw7LQGrHnmeGeBcX7Lv2+y8WuL8S2zIkkgSkWmWlWnWk2m2l2k2H2kOmOmAPChu1EkgMgHuKG1gL3N63HSIsnQ+JPM+0wK4I
qEAB5uwABPGcKHylCJBZqcKMSql3ykgXD3d0UdL4ifzAKoAsSOCj4uCKT0A+Dy0yTTrwMELIMkLJCUL9l5DkNMLlqXzIBOSsN8KI4+TDz3QSKDCflRTjD4oTdjx8BlJ5woBqhFgWRmKYEHc0xuMzFgQrhET9h6lUpQjF4pgkhXTVhwkQRcQ55UQLTItzN+NtL1gcR1h5gMqDN9DER4UKbcwOkutngHhr8DLUAC8RV/SzKgy5VLKqiIzlSNV3Lu9H
KjL4zeA2jxaOjSgujksei+j0sn1BjGxhjgrOETQepCAAAZYgNgegLlKCCgbAeIBoSoeCV1V1BoZSVbCRIslAksqK1NBLOWeYmQgQGs6eNYXGulJs7gX4Vs4/PYupMeG4W4Y0wqtxM8343kMqzbSfUMXqodO4HMB9VEVKRAh7Eaqsr48azXEq7oUgwAFbHAAQGtQEABvlwAEqHAAOpdQEAFQ1wAXaHUBAAfccAFQJyGQAGs691Fr0AK7q766m7W7O
6e6z03ytCkhJMQRNgn08V71phrh9rDqcTjrQLuCllCTpkoLSSYKrrrkbqxCNlkLwq6EmSFD+6IBB7a6G6W726u7e7MMNCcMCKfqkC/rnSvlAbyKxSTCKhlRsA4AGghwjB5x7a4aJA2MhgRgxg2LUAeMn4GlsQ5h819guxdSIAl5nADTkRnhEUs6Ng6Vd4pLwj8E4i4ht8uwsRQQabr8VKThErI8KUcQ5hY9Ob+VfSjK+biiy9mc3NyjQyrLqjRa7
KHQgt9Q+H/5wtpKejXKYzJavL0ylbMyFdR93b01YrRr4rvhnhpgQ6K0jMUq0w2yT87Edgmslhuw9KertzHj067gwQutbgY7zi46sC8yKqIAdbNkDajaTazaLaraba7aHaH8fEn8KqdsEpqJaJ6JGJlhmJ5l2JOJuJ2qJpOropuqIA7p3iIAnoXjZhAARRtQFLsAFIOxu1AQAFS7AAKrsqc7t0FVlCDezGowKLvPOV3GOdoJkBwCXJlIjBxKFGOpl
pmhwZlwC5kkgRw5mR25jCDRwFmsCFk5Ox3J2Lv4eDNFBpxJzJwmspwEblhp1HO+qZ15AstDKThdnxwOe5yzJ9iVwTolyOafxOdlyYH9Jl3Fzlz8u5pzjVFV0yELlYA11x3Li6tqgiumLwjpAbgov/okEKlDXnD1rgHOGVKu1Ysd19y9ykzpXCTnuxAkwEoQdzEk30arF41WMWGvxUwrA7CuBRP0crBkziMPydIZpdORCD2eBa0Urpv0s4bs24Yuf
5tKPOcKOr3DLr1qOjLls8uixkbIZlqMoUZ1SUaSy0eVp+bVoCo1qCpf0gH0ESGqDYCMEKhNGUlKlKkQkIG6WUFmHNc9WWDYDCc6adritskiqqjpDdrTM0ejHzvX0K2DHmHMX2ENVMe4G0p6NMbDtMW0qrCxC7FcYHPcbWwiZuOXC3OgKMbgP3KrDeO6eSVPL2YvMwsABGFwAX1H5qwTD0q2VqYSp6usUQwQuxKa9F1MV7gLcSy3N7f0IKd6Lr964
LrrEKT77qz7ZCL7nq63q23rcLPrX7XnhrCMOXv6yMgbKr5oJBHBXIOBNBNATRypIHWN9ABgYHON4GngcWms7gCWcwl7iXnAcwGkawMHzCngt54VSamEKV+NaG8UE2OxE8v7EVJN8G6wIRuwawfShX8teaRXeHzKbnK9xVhGRb69ZX7KJAJGQsmjFWyU5GYs5XFGFbvKVHfK7n/K/Xl9Kyvag3pIQilhA60A7Smy42vRmlwlcwn0CRU7Hjdyesx0b
Gb8irBzdXnUgc0wjWTWzWLWrWbW7WHWTQnWXXsnhzRyomJyKhjwspsdlRzgVplRnB8A6Q6gmhCBqhXUjAoIWhEh0mLpMnrpwdhq8mnoq2Wn+SS32n46xj3XtGAdeopPQcBnsmRmocYcJm4dOFpmkdJnJJUd+ZHAlnMcVmcd79JIyjDmDYdn1YfPTnrYUPnmbjl2rYsvRQPmrn9nNniB5d+i+cyuBdSBiu/FSvMumvKubdGuJc6v0sHmVR/n85AX1
dtQtdwXN2589c8IhxYW/6QaKhhpJB9B6BmB9wYWT2lTHCR5Th/yTNzDsQt5pMOluwn2HglgrgMQJKvcwQvcy1SHCPVhrSs7R1mko9lKv7OxPzzNOwngA9tKYlYO8jhWJXTKkOBb3MQf0PpWoz/NSF5XpHW9nLZbsOPLSP7zyPNXVH+idXRtx99XOFMBcAjA4BXI2gTQDI2B4gtBbbmBCpqQ9bCBiwWRsnMYwqi34ovW8JukYqA36OCtGOn1bgt5M
HI3fCH12Psqz8QR54NgSGm0xO02riM3yrk62sc22wHGH0Hgv9C2PW0DC7QWsCHCJBlhAAcGtLtQA+kAFi1n6a9WggAPweBM2hj7tILN4t+t9t7JZM0d8oZd/2uoPEz+F+7nu0u+9Za7exJAt7auvOqLUupHcPrHegwnfZ8gDQuZKvvd8t5t7t596d9mH97UMXffLF1+tXaFPXaMK3d2wgDaAQGUlq6MB4B7g2+gY4zgaxe2/rTiDvb0SrERRkzu7
TGwY7D+G2BWGiTzVWEBB/a9ATapWl7MRxFkxkxA7XYeG2D26fkpu7D0cwa5p5qwR4alWQ5q6FqlZsuVzEcCz1Dw6cqVaI+NRI7VbI+Ucx8o7Ueo6Uf9bT4Y6jYyIi9j8picxBL3qxMJpML7MxNMD452MjMmvYEEmzZanFY6pbUoJ42C6QBCexPUnuT0p7U8GgtPenoz2Z4udwmXaTNpgOiYm4gIIEMCBBGgiwQEIyEVCOhEwirlFS65cbpuV17oA
no2fHdJ52LYG8Mu6JLpnrwEC9MtawOULmQNKDhc6Y4zeLqUFi6cxouVsRLujhS5Y50u6zM5kVxy5NM1mHTcvAYJDjHNeSBXcrqhydhVcyuFeXrrzn67+xY4LXcOJYLeaS4QelzLru1x64/N+uKuIbggCBbFxRu4sDclXDKCc9CQkaTdsbgqB61NA1QakBQG6RIQ7CipTFojW+DaUpMuYXMEvVSi3pTuYlSPP+QoYPA322xe7pFmX7lDzCiKd3BcH
iLr9K+nYEjLWi7DzwCGhQwHoZXg7H9EOp/cHoI0h7C1oetlLDnDzR5GpEeSrFysRxR4S1X+6Pd/jQix6q0cy6AvHlm1Cqxo/+UxKboSHnA88/+/PCsJ4QuDb4WOvAR4GANPy1gZ+5hXfH2VQH5d02FAlXgWRTpwDOsebQaiJ1yZ/9Z0ivXthUHiAlNPe16Avvb3rQJA/ervTCpCJz5e8ERPveEQXyL6sFJ6dSU4CZjOCuF/yqUDsA8Ej5HVUAjpY
ZLH0gpDsFkifKkvILup0k/+GfS+qQRRHQiZ6lDOES4URHP1uSWhMvh/Qr6kUf6fyeFugF076dDOx4YzqZ3M6WdrOtnezht1ALwMcGbSKTLWEnjohgwwYHeMSySBPoEgUedYLPBWBe45gc/XgF/n+AUpCRweJemywYaPx0UqNcSjEQfaPsbMgrIHoMIczDDAyYrFDhf2VQYcZWsPLVLMNcrS1r88jF/r3nVYD4Nhn/bHtsMgAYCfhP2NnhIOiFQtC
QTQM4eoKGQsYeAlcBMMG1jwaVVgtwjBg8LqRdYs6YIMkW8LcZoCE6yvJOtmKgIPFc2e5F4gW1c4gjvOhvAkHADYDxIxyq4A1mAAeaLAfw92MALOJBCPBvk6da4GcERJVYSgzgCSp+TpTaYfgjBNpL8EXGkRZxSbL7g6K9LmJnRp0HBh+w9Fftp43o6YIuOyb4BQgUABkPoHYIyBBgbQScSLkDYUh5QUAKCFMXiTKA/+WQYgJBNFDQTlBkAdIH4h2
QQBd2+7Q9se04QVIRm+ef9mPFuCPdsQj6JFDuIgDKBcACFdKhWN1TgS9wk0GELgEnYoTRQjEgiMxJNzqjQwQQF8BQEHLV8EhgEYCKBHAiQQYIcEJCChDQgYRMhIBS6BqK6yfkdSPLYrIUMdL6kvSVKBxBSkOJncbR53YPA2Vkxjw9E4vUMK6NQDXBPy3YNEGilQaSUOSfogYQq0DHeDRWpg8/kIwmFX90SN/ByqsLmGmgkeKrRMeag1apjh8VHAY
hJ01ohVHauYgLhzwLG4AVyNHFfMzEhTliIWixMJDpVBDbVr8ovXgD8AbGdkL4rSR0igPbEfCleXw7scFWzZ9iNeKwRxtryfi8DA2oIjsRAAnFTiKqs4+ceeJ/CzijJzhYiQWnMloldxNk/jOiC5QOTKw2ID8XIOeTfjfx/4scEBKnHnCogpJBCY4H5TISMAT+dCTUHqDNB2gWEFUB9hphTAT4hKKoZPBsmL05euZaiYiAaRNjuKvWCSr2C7B0S0w
cEw6UhJLGlBUJJsdCfX0b4tBm+rfXCXdOjDOAT4mdf7jPyRST8ispESiZ9Nom5TosDEpiSEFYmJRiAHEiyFxI6qRQCQfEiyIJPiGUUoGswfQHrXoCuQZg84V1HSHgj3RCA+gC8PEHoDsz5J1MqgBqPnjJAWkNk7EB0muB6IjRqIEjHPWOLSYH0S9RFDaIkokZx42ldEJvBkwlDLJH3A0fxgpS1hnCEdMqb6LzyuSEeReDyWDxDHeTxhl/SMlMKjG
BSkxbkkKUq3jFLCZhQUxWh/2ilf9YpuPQKnsMSkHC8xRw0snrWLGoAspZYoGdWTCRRI3urYkxsALdHlT8EHQy+GPxOK35xO9UkcpE1V69i+qTxfNkCKPLJSC6bTMcaGH6k9o+mM4v8MNNXBLjZx2s/jFbM8KGyE8f4HBqbNuB7Al67hPWbsFWlDNboG0gwFtMAnATPkoE/aRBKgnHS8xIMzeTBLzFgTSSFMigFTO3nsTiZLEsWUqDpkCT3GQkpme
gFiZ0QGITEXACxDYgcQuIvgs6ApOEgaj9Gn5L3OEhiRmI4UybbGssU3g3pIBIC44isEdK0t5+TvEEMHVRLSZ8WbQ5IkwTNlNDngdwGsf0N+bA8TKAZEol5MFo+S3ZojaYdGKCmxjpK/s5/ssPlprDIpQ+WQtqwzGUTdhlcsQf50DZxyzIEDDKclmTnnQcpE3f/ssXqTnxjGpWQxmgC5RstY2kvaXoCERRyyU2xVEwVLETptympsA9XrWQQFZ0Tuw
4vMT1LqlphW504roENNOgLju5F4keQXISDmEs8s9OetJgfEY1sFSKXBbej0SzyeB/JBeX+LUDbSV5e08CaDK3lJzOEkM7IOdNqCNBWgHQHGXhPumkgTMqUfYGgv0bdYwQOMqiTRNQCXA8U9aIBSmCtKJBU5bE+CbvJOkJKoA6EwBsA1AbgMbpGS5GSfE36XwZMy0pBliG0xFK8Zy8a0t2ApRmYuwwYTEJsFqXCoiZnEkmbBLPlLKL5GTGmbxPwD8
SGZv9YGtuz2zyRFIKkNSBpFwBaQdIekQyKLI2Xiyu+CDPYJJgxDfkWhRWUEMS0YInx0U5mfRu7kvguNahJwLfCZnni6YkGNYETlZJzAuFKw1jLeLiFHQcNbZhCgMQ7OIWeSNm5C12eGMmHX9qFXs/DvMLJQMLiE4U92qwq9CbDsy6tSTj2N4VJT+FMQ3AMWETmiK7E8yi4W2DNJ6J0UxUnOagFWAidlF4Ar0ICH/Jgcs58UEuWCNKpdi9FCUtXi1
NrKCdnizQw1MCPMWjjRBfUleYNM7n2KRpHc8iDg2BXAg9EW+OIhCofHQrXFNwNWYeMRVBLRiX4ikJtPCXLzdp+89eTEr3lxLJITSpJZdNSWdKkZBEh9B4XhQT92wQRC4CMpKVYgoFuYTEMcSXpcpUQ8yneYhNiXMwA1JuajLRnoyMYQ1+EkeKjPRAFSx4qwL9grM4TFLfcHK9eUfJPkNyyZTa5ZbcqvnbL6Zt8xmZKMolLQVoa0DaFtB2h7QDoR0
cFKWM4GKT7lMwXECZhWB+0tgOwfYMS1kyrwteXuH4L8oko2jGCB4zGoCCXopEOkGCz5PtyuBtJrh2lHfvcJtlcNUVxlcVCQqkaFcXZJlKHn5IG74qUyMY5on7OR6BzvZLClMWwvT4cKaV8U0YqzxjktqBFVUFoKys4TZSOVNZHjkkEJERt+V0AvOSyhmVf5qWmi0ueQPLmUC6VEAfjv2K7CzK2pXU+jhYublWLdVmAuxZ3MNW2KR5+6qTIeuJEnq
ZpYAC9YS2vX/KE2Tq+ea6sXnuq2YkSr1dEoaXgyUJZ0k3BdJSXXT0loa0tS23MQWj9GbhIfljUkh1qvQ4ivZRDNFA+rGlSmqijRTooMUmKiMktQg1RlLBihzykIophWBxqfYUC5FAiQExtJqWDaxZZTPbUtq4Jba9ZY502XAyu1N8zAnfL7UOQnIlQFyO5E8jeRfI/kQKMFBuVRa7lOQkeItNNGZEdRjiSeGup5UJBs6eC2sFHTZYILKR2SmlJng
krZ4ah9NSvmPEkzC8qw3yj3AHXvVwcfZT6tkBiv0Hvq0Ovk92Xis9m/raF/64lYBpoXAawwGPKKewpik49cy3C8jTBoeqQtjhuANJcIq0ZsrEQqG5GEsFJZz1cQtwh9rhtwZXdVgyA6Vb1I04VzyNlG/4QOOaGOkNVLahjdqusV6ryIXctacuL/BPL9GuIFrdcCXrtbVwXWqBYKr60Ikal3cz8aEqXnSbPVLag+RvKzW+qc1VmiQCpqunHbJIXSg
idngfRz1QQyVZpDY0zGjL8ROpTeISlTX7jBmpmupRZtk2Hzz5pM8LYLsvm0zYtuyiUfNygZJQUoaUDKNlFyj5QioJUHCVOp/nRaJgONaePxl0lcpok6wTxWuupYHilgXuB9ML1u2ArBKsmZEF7knhzwUGK/M9YiD2BRFQ2l3eWQBUG3+jhtJ/YMWQoh4fqptVC2baj3m0EdVMJKpMkwvh6rb1hYG3ohBrin6toN4guDUyoRk/9aOp25DSnIJne0c
08KUkauLu2EbMq7ZEVbWTtI5KnJUqhXm9t0W3EDFSq/qu6WaFst/t3UrVcXR1UDSWN+qtjY4tGl/hCRtu34Dtyn7YhRMf4IZW7t4rSZPdSQMTSEok1hKAJOOkCXz29Xya/VMWm4oGtU0U7WCjmk+GcHHn/yiJfYMBYZtGWrAM15mnfcTv30m4zcFuTAFbi/nokNNTm75PWgRXmj602wPYLqWZ0lLIFZwCeQP1xTaZlgQWgXWsqF2rKQtkW67BrsU
07Ke1pm4SegCnKtR2onUbqL1EXKDQRouW1A/ls13bcgQked+Idx6F3BJ4OdLBl9Pdz5C9geiXMEcQG3KZpKZwMxJHm2pcp3c73NdtpkuDtIuUnpNNdPAIVH93J6Kp2QHrGFB7KFmHUPSsJW10KANYUmPbMODnrbwNm2zhVmP0XRz9tnrVKZUCQ2SQUN+eyRbwDPjSZy1BjNKraJcNZVK9awNtoVNkX/hXtli2VQ1PlXNTq5Kqs0TcCFSd76N3e7R
cDv72g6DVQ+o1auD4PIhcQhKH8vxtHiAgEg48SQ2cGkPc7NymO1fdjp2mb618+Ovnbvohkk77IyS8ncWsyU/6zuuiMeFsBEz8t0Boy7XRPLSLaU2kvYTEBuwkWZqjpRO+JXUbr5SkZS1QOUk0ejAnweyZwSeFkTvQxIYBta2/Z0KKG7HdjyVOAyMhF2nzyZxxvLZ2owPxbe1Uu9AMNE2B+BJwB4Mg+31gavruMgvBpGdxxB0FrgLWYlv+V+D/Aaw
SQalnkZrU8HH+TWcQ1HlX77j34XR9lpXy8OfllJO+NpO2Fr3vUXJKK33UGNIWYrA9k21Q5GK7y4cDQD/QjktoJXkrQNlKtMVsKFTZY6OlRmsuPEJa3CNg7hivafgkpAguUXWQ1F9qMVoybJ+4ojTKszE7bTDJGzTjwpyb1z8meQSEtuiEH68m52qvbaTMJhBd25pMWQXPKpiQ5FBsOGo4azZgzNkJPVeZklwxw6DjB8dAk9TkMGk48ujGzLhXjcE
i5hRShkMt4M+b2CUOjg+5p4M9OfJvTpVCXJ11dhNcgzdsvFQCxCEjdS4EQ7gVEPg14Q6gDccAEEkJBwA4AmoQdPF2gAwhMgFQYYKQAeiHAGAhABABQCgjitiFycf05AGphCQoZLYfQJqCGGOyRhhQCAK2dVSQ0Mg9Z0MRQpxVX9+zIgQcx2e6QBS5t3syc22cSUdmuzRKyPVWYHPtmMgq56PUBvGCLnpzGQSoGtrYUHmtz+gWM+HPkFTnzz3SNgh
SISJnnlzGQO87iNMSIEnzzSjswehpGDs+zm55852cbVnGqyn5oc/oDXBIHj5oW8g/uYAtfmMgR8xCHbj1hwWbzgF7pDGmPPahQLhMKkOqFcgVhMQDSStYotxDPKqzeFxkPgGqA41qwCQLeAmyqUGkqzRgNgAYGUEMACAFsAiacFrDiiNz6FhC/oGPMe1ksce0UPuaFAkBA++CesFwpkstgSlj56S/LDYCBxILrxmVQpZsHgyIAUERkCblIC7hcAt
vcJNQF4DmXLLBwbms7yVC3JlAcYeUBUGMt8hbem8CyxaM8seXbLhfWbteaXNVIRUnsViJwF57To/OmQW5DXAOTZreJ+cEuNJG9P9miAJS5K8ELa7p8rkLyTKyzHlC0hSAxYLGLlf0D5WmAmlxKyc2r69FNAWUBANgByB1B84cAZSOpYQAVXgg2l/kKxEYCIR2L+ATi1djCDBAGrJiCHKM2QvnQu9IgnvexAMB1B0go18rNqpdUjJRrvV/qygV+Tg
AYo368IEzAgJEQgAA===
```
%%

View File

@@ -0,0 +1,531 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
후회없는 인생을 살자 ^kO4r2rXd
사회관계 ^csoOjTS5
개인성장 ^8IoP2x37
가족관계 ^JSeCqMJ4
재정관리 ^0aDavbdq
직장 동료 ^2OkKGgIH
신체건강(식습관) ^x8OOq3E2
배우자 ^dHAjT6s9
추가수입 ^Psxo2LoI
?? ^jyvS6QN3
자기계발(독서) ^DSVMPH01
부모 ^nAsp78Yr
재정 장기 계획 ^rmzapDek
친구 ^Zn8WAgXO
신체건강(운동) ^KnSAQvaR
형제자매 ^JM0ZXl49
월급 ^pvbV37BG
?? ^kBUVU13X
정신건강(상담) ^yKkDUXWG
대출 ^A7P6njdO
커뮤니티 활동 ^Yq2kFFMa
정신건강(명상) ^DTKlX9hN
생활비 ^8Q9Tn1ZM
?? ^4olgXbGk
투자 ^CTSptK5t
?? ^QncgFfjd
재정 단기 계획 ^0MhlEMuw
?? ^2At3WlXX
저축 ^OAF6pcf7
여가할동 ^RQy8Ktr8
취미활동 ^YsciBKKn
음악 ^ckWHwd0z
?? ^w3e8hDa5
?? ^W0MOkENJ
?? ^Q1Yv6wS0
스포츠 ^8Kx5DJrG
?? ^RBukD33T
국내 여행 ^gUwKpZga
?? ^hxI0g8Df
미술 ^S1XC1kuO
?? ^eN2jMbRB
자원봉사 ^Jjdv7NGI
?? ^ypqhJHFZ
?? ^onJtCpc5
?? ^ZfRrWrTj
해외여행 ^or8OKhtn
?? ^YeT5jLbO
개인의 목표 ^oWB6ozos
개인의가치 ^i0rqPg4S
중기 목표 ^uOiktE6G
?? ^bH1NFMmn
?? ^HWaBBq5Z
?? ^nbo3ZTvd
단기 목표 ^pweLH1pQ
?? ^va5rJdaO
?? ^ORDyjnFQ
가치관 정립 ^lzj6m3vZ
장기 목표 ^2lkdIkp2
?? ^hWbqb1RF
?? ^tJBKVcV1
?? ^7AyQMilp
?? ^L5i04Hww
?? ^HpboZ6XH
?? ^DP5BVbkO
?? ^F9wnwEV7
자기계발(자격증) ^ihaPQKTl
개인성장 ^0AAnLDRz
가족관계 ^Nw3IpLkX
재정관리 ^8Y6G8eMb
여가활동 ^xwelmMmK
취미활동 ^3P5QHeib
개인의 가치 ^mTQX4JNc
개인의 목표 ^5561lJQH
자기계발(취미) ^8V2hBLYl
자기계발(개인프로젝트) ^4DQbRj6I
자녀 ^8EjE58CV
사회관계 ^lA18hLaj
?? ^fJ9r8l3y
?? ^NBkLO6oe
?? ^lVmatkUM
?? ^M3i0Mvrv
오타니 쇼헤이 만다라트 ^n0L0NybC
## Embedded Files
7ce9fe647a112d1a11996a16433c934eb1cf3726: https://miro.medium.com/v2/resize:fit:1200/format:webp/1*HP82EMjk6KSIKITu8uM9gQ.png
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebQBGAFZtHho6IIR9BA4oZm4AbXAwUDBS6HhxdEDsKI5lYLTSyEYWdi40RPiAdn4yltZOADlOMW54gDYeLsSAFhnx8ZneyEIO
YixuCFwZyUaywmYAEQyoBGJuADMCMOWIEk36RIBRAElDgCFCTQBxHIAZADSADEAAyJADq4IAKgBlfR7SAXQj4fAw2ANCSCDwIiDMKCkNgAawQ4JI6m4fCKAnxRIQaJgGPQWPutwJfkkHHCeTQ8VubDguGwahgYxBINu1nqlXFVIgmG4zniAGYEjwAJxdJVK6ZzAAcuviMyVtxFaCVcV1MxB43ias6ap4IN1PHmtzxBOJAGE2Pg2KRNgBieIIYPBn
GaQWE5Rstbe33+iQBzQ8C48TSaHEUMm7NA8F23SQIQjKaRjLq82VhM5lma6pXKhu3aPCOAvYjc1CFJqQcE8KAAKw4AFV8MRDjMngBBQ5/NiDAASQO+RigCMg+niPEIAE1JwhDgB5fkANSeMBeSvwAEUAI7Hw4QKkAXVuF3IWTb3A4QhRrOEa05ZgO2/X9ZU0f9iCeYIshyDsuyaEpuzuc4JHwSd4l1SQ/lwfs10gWBEE2U5MFXKkwAAX2fW4hDgY
hcFOFDUG6RJpjVK0ugNSZbiIDhCS/H98G4thsGJRirnwMIinI3pEPwioiKwVdbn6NoKRBJZZRUoYRkqeIQSVEEHUScZdVuVZ1nlCRtn9MyjhOas0HEm5ZXuVD0Mw7DcNfZFUXRSpcR9FlKxpYlSWIclczdEK6T8zZmXOP92UAjsKyaCB+UFYVRRlNLJUZHKyks1AZi6bQxRBKZdWmLpy31NUTWy7RLWtW17UdZ1Eiij0EDjP1A1DEMkFuCMRObIR
Yx9PrE2TVN00zbNRRVTU1Q1GYNUSRJdUSNiCyLEtVzNTrKwQBzUCqw0xWVerZTG1t2wKMiIF7Adh1HccpxnOdF2XJTHo3Ldd33I84FPc9L1ve9HyaF9ZTfXAP0YkDBNlGNiGS/jQLS8Dxsg6DslyAoYbSmi6IYssWO29jOMpNKeL4tAkaEkTTqchBX04KAYUIIxKh4UzYY5oF4eRU1UCOtLiIO9BABqBwAYtcAAFrABGanFyAoKFFM2OWlZxSXJy
IZR2nQMQciYHEWigcwCD14tDYgfQSGIBpbj0HJcFWJhPwkR5Xg+L5figQFQQhaE4RxP1i1WAh1ZIzWFeViUhCgNgACVwm5yp8SENnZR4hB5z20seRSRIpJk2UCP86pailM2mAGQ3tppvo67aYYOFGHkwTVBYLoKlY1g2KzNpxA5jmCMnHOubO0tc9BsPeAAFYgS1ILohaVIF+3GKEug3GYLhxJEUXpRkAuxLraTCiLeAv4kT/8+KVeEEt0Z5PkBS
FWBsolOp8tuIrFQqk3BqLUOpawGiNA1NAgDdTaBqsZKqIIug8HGBxJU4syjulpL1BM6AgyDTDMNSMY0JrxkDDNNMGZbhZnCjmXg+ZZSFmLIXJi5Y3QnUYo6VaKCtrGhumyO6cFHozEwDeecgxNDjBvBwF4iRBhDgAPp/GcIMIwN4ACyVC/qbh3HuQ8J4zwXmvHeB8VFYbvgQJ7VAjMUYQVftYgSw0IJQUyPjIR3ZZL7EYhAEEk5JwcD+IcZORg8L
lEIhISWUMmiUWhtRWi9FTrMVYlTCYTdIB0wxsjWmwlRKXCnqXIoskwn+UicpFunAKRJDKa0bS7ddJ5j5npGYxkzIDyKlsTax4R52XHizKeZlvG+P8YE4Jh8fL3zioFBKwVupXzoWk3E0UJmYimU/JKXIxjv0yl/Tufcti/2lP/bgJVtCbWdF0G0bEXQ8HNOMKBqBnBdBBHA6YJknnINQXWDB1Juo4P6gQoaYFiGoz+dNFMlD5q0NFHEYySo1S6hB
HpHgiQ4XWl2swqW6D2GnSmGqfSNyWJNgEW2dxaURFiIkVImRcjFHKNURorRSF/q6KBgYsGxjIZmLSnDBGmTEoAQ2QzRxYFnF41goTOJpNEnVUpkg6m3FVj0wcZjMovpmZiX6QLHIXMeYUn5tywWwt8Ci2+dADWEhAA4NYAD3HACMg4AUvGVaUGjlLCA1r7U60UtbA2mxjanBsppJgFt3BettvbYgjtAVpRdlEd2pArEQHnkvFea9cAby3jvPeB8+
SkAjhwKO5r0BuodQnJOqdWC6rQJnaeqr3b5wxWMYuBTShFIrpsKueVI3NxqYbc0fC0paQ4G3DuqBxj1m2mqW0CzzKD3QLgT08RuljwQBPVArMBmbFvBQQkAIoAKKvBcP4B4rwgmIEqKAB5CBwEIEIMZx9YorPPjMy+C1IpPrvvepkqzEov0FUxLZn9RZ6T2R27geyio8HiPEJqTyUGTGaZ0W09zzRNStJctqToXR3LfT1SauCID4IGuGYFEFQV4I
uBcbAapKOQuvnmDSaUmH7TLKlTBHDuC6jxZVDi100q3RJQ9JlOjAb6JBoY8GJiolgCJmUHlljEbCrSqjexNisaitceKtA8Fm1kRWN4wkB4ZikB4KQAAGtM7sclwnoEiWRGJpRpOQBJgkxiSTZUcVSQq3ifKc45L6RJBATbijl3khEjW1T64UnGKagdQ7dJ1nNAiraWGZ5tM2HO1Itkl0rrXS5PTBmjOmfMzJ8ZH6z5BTSlg0KL6b7YeWZ+x9inn4
cl/SxyAGUAPf1lCBtAYGKR820FqGYfNxgVUMhVWY9y6wDdQ61SdGHTWVZw2QxMA1CFAtGiC3DRFyAcGYAKQIOQaN0NtFBpBtoRtzAdBhaY6KmNoCedilz2oOIop42UPj91NPaIBno4GoMjEQ1MbE8x8M5PecazjZTCmyjYzWC4mCBNNMOYgE5ldrm2Jyo8znRV4PVW+Y1f59m2r056qJ1AIW9tjXcFNZEiQgARtdloAMdHAApTagK1gBdgcACLjA
AdDggAWgcAAnjjq1YFogAzlnbOueoEFx6kiIafX41NtUoNVt9ahodk7WU0a3acjjd4zd27d37sPce0957L3XrDjm/w+aY706Z6zjnnPpdC5LSnNOFbUBVs83nAuUsoPIsCy2kLVQEA1BA+F1SaArStYYOUwdOljn6haokPmrSLJpc9DMRd9kCfORnt4zA3xlHKCMBwBeyh4jHgUcnQ4TxvgL11E8Qknpb2+QZA/L92G5kUlvjFDvkyGtlDZD+oCm
zZTtayrsn+NcetHOgfMFUGoTJiii3pFpspRbIeamhubzpXTYdI/h1bnbIAjSjJt5beCKFzWodVujt2WHdFj1WFz8xIMTs1ESls/GvuCZ+6yqJuyoDpJsjrJlYipsPnYr+pAWfmpgjqStphZshD6oIAeP2LCIkKEq2qFjHLZlymUKjtKhTBju5lxNjl5kKiqukvjnkv5kHsFlZmajHJHhUmaDdgGt2rFjWEqAsOqLwenjOlsJ6FgZlrnnQfnl4qgW
wOgZgW3nVmVkVj8s+lCq+hVksqVo/N+s1mPm/BPh/FPkxGKDPn/LKAAlaCqJaJ8gaEqPqGtPckBihi1HaHvsin3kfgRoNERhtiRlthEjtntrgAdr9GlDQtfHpEtHCqtOtJtJTI/pigtmxmgPCnmCtFtLHh9ogeuEJr9mygDhJgQYiBYhAdDpAEpjAaURALDrjOpojp2MjkQS5jKqQfKhQUqrARAGqrkpPITlqpzCTrmPqjJoapTiarcLTjLHHMLs
6rHNrOMZ6mrgribP6v2oGpbGhIsRIGGhGjiNrrGvGkXiXmXhXlXjXnXg3k3i3lbrmrbi6lrPHF1onO7uWhnKQFnD7nWndkxI2qUNJIUowZXGHtXJrqsd2tTjcqwQnnUtCgsOaBvilhnlZJ6OMDnr0nntWrphukIFuoSNuDCIMFAPQOojMIQKQNuBwOCAvNuCZlCPIZoV3uobMvfn3goVobYusroX+vodsoBsYV1gcqBvPg8ovtoMvgitaJ0GCMlm
UKLM4LWMkE8g6IlkNhxhqO4X4Xgift4Rfr4VfvhjfoymUGEfMgwgxn7sxo9scvCvMJ0G4fwj/p9p2N9iyiJv9uJpysDtysUfJtQRAOUZyR0dUfDm4gJghDpigRILqC8GwAvDwJgNqNgSHswaRN2HZlJpKs5uTMkpjuQbTDjlQVknjuqhIQFr8WXBLEmaUpwRFh0E6JCdwckY6FMA/i5KlkibqKicun5pIZiZGdGbGfGV0HSQPg+uVpgtFD3moeOd
1KyQyVARySlP+oYUBiYYcmYQqBYcXFVHijBnCRNpvhud0HAoZHzE6CqStD0IfhqcfgCtqSQsQEfviNYIEcEUdtCqcqOvCoiuNqitKZAIxiwlisdIkmKHCQsHWN/jRL/k6f/i6X9mJhykDvZq+N6bjmUdAQGZUUGWKnUfkA0fEmjs0SkrmTWpQcqoWTQcWT0T2RABcBzDqrzEMYiCMSLNTvMXboWrasWijE6qLkWrLlAPLhIL6krpwSrhsTbJsNsS
CWUHsbrvGleNiYSLifiYScSaSeSZSdSbSdmjcfgDMZalxTiLgE8WWgMV7m8RiZ0bWuaUXIHmWf8RWUwe2gKZCdThxvWYntHsijMIaDclOm2bOp6GqJ2dlpqgXpsAAFoUBQBXgcAXBPBCBdCaBCAABShI9A3wXQN48Q3wao6iw5p8bJjJKhtGLJ9JQ+6FC54+aUk+OyRhwGApc+65uYkG0GFUfB8GH+9ycpW0x5SpZ5fMF56pepnha2WMxGOMHhBp
b5uYppZQAF/ubCwFLmFUzU2o3QkFgioZZQzKwm8FwBBRnpMmqFBZ/KaMFRvp2FtRWRnivZ6AqVMIPUGiqV2eywZQOB1mGs+Bx1jmBFxB2ZZBCyGSZ1PmVFq6+SDlSBH1lZYW1ZUeYsFynl0JPIHEHEEpqegh7Sc6k4oV3ZVls8EAj1z16ir1hVnelViyTJqhNWJV76I59WY5VVo+i53JHW0+/Js+qAvWuYyCCQzoUwXQ3cQ2lyPVvlpUipp5loQ1
apV5o1WpRCPhU115T5u2+2+Ms1RhKo2o20FyxkdpZp9ah0lpaAlothEwV0W10FWm2RABrpCFIBhRtFp15F51UOV18BIZSOGZhFJBxFwN+ZrtYN3RENvRBqxOnuaefRFOrFHQ7FLqgAADWACOE3MTxSLhxRAMnanRLAsZJcJYrisV2uJUJegNJafhAHJR7N4tFbFfFYlclWlRlVlTlXlQVbpTbvpaLlnQ8blKZR7q8e8RQb7kbd8fZRROWTDc5UCR
HvDWwSOg6MjcOt0OggSqggFYiUFa3mIWiSWeuhIAegorqH8PoO8DMEOPOHCC8CCPQDAO8OOMoPKN5HegzYoTiItpObTdObSLOZTSPjoazbVQYfVSuZzaYWlEVHVPzfCpMMqLqIsAvQeQvn1ZLcqTLZeXTUtlNJqbeYrTqcraNTNXfjTS2YbV8c/ibbwNaL+cgqapkTtbbXBXke6UhemSDryqDRDgKphR7TjMGRpjBWGcgYTSCLgIcLgPQJoMQDeI
mUwTZqmU7Y0VmW5q0XmWRR0V0fjQwU5SUnDaCTWSOiRc0PHg2agFqJOm8uvUIXOg+NvV2eiXvegCI2IxI1I+TYPkzVTaVfMuVS/cVfOSzTVWUHVbyY1VzTzagGxGqNoJMGjVqE6BhkxRALKeLf1VLeebLRgx4Qretng6Qlg9AAEerYdkQ+EfpKqHCjVD3MqI0vEdwEBRVkkagOjZuHMNtFbY6TbXbDkYAW6YhaAShaDiUb6f6cBFhZ7fw3hT7QDc
o1jqo+0ZURo/Y30QxaTtHUamMeXKLoADXjgAqBPyyAA1ndMds3s4c/HSXRXQXbXKQMXZsaXRruXZXXrpsAfUfSfWfRffoFfTfXfTMA/dcR3QZegLswc8ZX3S8dwN7kPZ8U/j8ePY5ZPYCeHq5bPYbBcgsjFl5UxGtC6HrepFjZnk8HjUsxFRIJFcnAovgM4NgDABQLqCdKQAvJ6JoJgMeOCDeJOCEk/e3kVXOcoVVsQz4zy7/U1vYrHsE51rlE1d
zUKZAxhNAxBrYfAwslvhaDNi4Q6Bhgfpk9eWNeXefvedNeCrfrKMaX1vRgtbZawi/o03NmeXCe01kV03bQdfkR6chWw2Dhw/OVw6Mzw3DjhbdeGYTcnFeDALqDuqQB2e9ZZjo3gfI79Sjv9U0X7TmQHWows7QdRaWXC9DTGwpCwSi9wJqHshiyjVi3CpuJqJaPi0id8ES7vblpsCG2GxG1G7DCVr47y54/y2VbVhVR43/aK0ucA3yZK2E0KZE6cm
kZqEaIiiirHiE04bvhqx1CNfk7q3eZfvk6rS+RrSU8dmU90BeV0L5eMCtBBm9v+Za/U6xokoaLwcnpAvaVBR086ftUw3007eAT6RRX6Rhb67+9dQgRKrKIo6jSm0DZ5vM76Ysw2+Hf0ZHYk3RTkDHVTnHZsxnYADejCdgABquACbzUc1h7hwR2c7cxc8sVczc3nXc+GjJZAI8/GmSxS1SzS3S0wIy8y6y+y5yxPtbpHJ3UR/h6C6Wv3RC5ZR8Zaw
HiXFDUFto22tPci3owjVYYvZUO5rwUaJuDW0FfOPW1mw4xAJqNgBcDCNgLqFCBwKlfOEqJFSCJgISFCAouMH8HAG46OUod2ySMyX2528K9VXoYAzyRK2UN1tKy1WdBxlA3Awq3A9i/crMKVBBmCDct0I0t3Gu3hhu7gwazq4Qya/fvNVeyPeQytexq1CglaLQ8Sq+7Be+0Aa6yw2AS7R0SM2hVUeM7hWRHdRGegNuMwEKO8ACACFwNG8UvmymdEg
o0m0oy0bM6RdB7+7B1m1owi+N1c/owaOg12vXCY0kKOi01Kdp8IS8Hp6HTRYTX1wN0NyN+28/UKx4+/d5xgz/QOyKy1sOyE6uYKeF5O8tFVGlwihMPcjaMkEl6nvWMggaOl3Leu9kxNUrXk3hju0UyEUadVkik1CtBqHA9qGe/O7U8baVx0JMAaJTFt5AHQ3/mlHtbkfV8w/0x60M7+61163AbwwGyB8TNN+B4DSo/N210t2d1Zchwh4xWTqhxsz
nRnYABezgAH92AA6ayR2nYCxAHL4rwJecyJYXUY9c+sec2XbsRzDrlXZsEZyZ2ZxZ1ZzZ3Zw505y5/8/xyr2r0r73SJ+C5WuJ1C5J7C38bm2NxIC5TXG5Y2SW8Y5i0kPpAilaEd3OgCKdzliS+gOMCEDeJIE8MeACLqAvM4HfduDAGwNkO8J6MnG54zR549wKz5/dx54O+92zcuaOyF1K+ExBlBogrBi6BtN1Yg2LCcmDyl5D+dhl/8oRtl1u5l3
l6EQV+a0V2Q8tQ06dODxdptBkdV46zTz0w7Ude616YMz+27ZdYBx14G0I94mwOCO8OMGwEYGwHkKN59cmZJhRFN1Ksm7z3N+koHeo5m0Lyt3m7gajx14bcJ0qnItqT0gy2kY+noP4PH3CpSEJA5/S/tf1v6l9X6feD+gskWwvca+b3TkmKyAafdQGa5cBhSFmCnIYMHEZpD5XrB/kkm3AEHikHXwD80utAxbFkxwY5McuepZHkET3b5caasDKdhe
Q2hbQ1QOtAnqY0SJ3tOIFyS2s+22pU9dq3Te2odTdasNd+7DIOpwwurcMj+7PG6pz0ILc9WEEHPnp/3TYwcf+CfYYhHTF5rNRibFDDi6mtSAANcdQCABKrsAA6K4R2cFWo3BXgjXmRy16Uc9eZHA3s7CN77FvEyfXAKn3T6Z9s+uffPoX2L4O880AnXwf4O8Fu4zKnuSFqo2HpkMfeE9f/qHiRZB9C2ncKpCi125OgDINA6Pq2Q3rCE26LkHpHYz
g7wD0AyVecOCDgDgh9AmAPWAgC6AKIFEFAOAEqE0AUBtw2AVAX4z5ZedK+z3ftjgP85clAu7NBql92aokCF8o6UUhcnFJr5DuPfBLowOS4Q8WBw/FbBwPh65MHyuXI1oaUgCms5qM/KQJJ3n63sXME6dBGCFmCr8HS6/ZQS63p5ftmulRFnloJhzH96G3XQmoQBBCkAbwFeGYDCBkaxsJuvxF/pmR54zNDG1lCwYtysGQ0c2snVbgAPW4I1rSoAt
AIsHORiDq2TQqxp6APCwCw6XQu4MiNRHKB0R8wrthX17YrDfOr3dYfgKC4c0x2YDQqIeWSB8EhaoFQyLYUSaiwGB/fK4VD1YHRR2Bo/TgeP22zPkUemtStgNnLDY9WIetQkYtTqZSC381oF7LWD7TvY1+9DJ1owzp6fsE237NrtCMDJwjvaoHYwejn9pQcBepIzkcxVsGrN4OEvRwVL0yEJ1AAGnM+DNgrg5MYEOo7kc/UIQ4NGEPuaG9XYUQ03p
oF6H9DBhww0YeMMmHTDZhaQ24mmL8EZichonD3oPQKHQt/cxQ+FqUL9IKcKhSnOerYQ+Glth0eKfUClyjoIlWRC8Dked28R+B8ACwTQECEioKJjwDeOAISCBDBI+uLwIEAKMppCjvGVfCmmKICYBcgmBA4LpAFC7hMjQ4wBICNlsI61GkVUJDKq2cLoZ982o35Dqzh4w5JqiPchM8M1okMLWxXb4QIEaYLB5grEQyA6zdEb8VBDXBnhoM9YwiqqP
rNrkBy9oCNc2lIr6gW1P6bBMAFAIIPoHUT6A4+P1HfkYNf4zdQxbRcMeDVZh/9/eREwAXHjBJzVEmo43mOpFHTDZFgUAheF0lsZhVIxPXOUORPwCUTqJh4h7hOSe5f16a1fNZBeI2FXjJR2wogd9z2HFRu4pyIbHCk6CwkHQl7OgbsiXazYV2BtVSZg0y4ASz8QEx4aNXIyUZqM+7RaCkHQQahywkPToPCQglfEb20ExJBOg2iJAMM5PCAJT3wkM
M6uvTR2t6MhHDN/2OEgMfUSmZv8CRabBbkzBDrWCoxovGMTYPJzrN4xH1UXNh3V6sheKRHOqU4M16XNlcoQrMeEK1yRD5KC4+oMuNXHrjNx243ccwH3H1iMhmwWqS7xC5gtzK+Q0ioUJhZj1feFI3sYHzo7cT9G7+OkaY2Xyf5aB06bGp6AxEST8aBnXUEOCVDJx3gUIb4AQD+DjBUq/Yd4IMDz76hIq4IRSeX2UnLCHJ2AjSf/UCZtZrxUopvuO
3C7OAbkUTEyOBXrBGgT2E6VUXU0/HLt2omGG4dgz1H3CuB27QprwOKb8DaMhXT4ZBOtaJIWISQbHkCJfYgjnWH7FKXRKKJ79fRGU1nu130HAdFBq0rkTwAPDbpvgygF4Lp3v6w042k3BNmBxMHv9CRINTCZ0QjGSQZOweWRro224I0jQI4sPmWw4zIp1IVoRJodMzw6U2hWWM6Y2wkC8z+Zgs4Wbd25Znjvp1NYUX9NWEAyh29fEdqExlGQAAEGE
GYHAkWCoInQhoRYGiwcJigbJ6rNGQth1H/i7hgEhHm5NxlGj8ZXEt4UxENAJANo60JUOLW7j6gJBYU3EDaxzk6gK2VXYEUhNBH0zt+6gk6szLZl+ixmHMvCZMyDEMT8Rs3GWV/wzasS4BJUlZoMXF6VT0OCYzYIAEHJu1KgDw6AAZjtTESAJ5U82eaRyzHBC2peYjqQWIiFFiepmwC6VdJul3T8AD0p6S9Lem6gPp40lXgvJnnCdnic0z3h2O97L
SShHEvseUI2kDp3KzooAa3ExZrRu4EGeYB8MNlIkhwc4gmt4imCRUoQC8AEDCEipsBJAhwUvN8HnDqJCQ+ARIH8DrZct/p6AlSYsLwXslNJEorYSA2lHEDZR0CKGdEzgYmQ4Z2oNaBhDFrIMTyqDVUrFLYGxysZ8ch4Y+TxmvlvJ7wiQSVwX6cIVo46dSOXJpmVy6ZnohmbXKZmaCWurMuWbhImZdcg2heXUAeAPA3glQTwDLOGQf5yNxZjMxNu3
Kll5SwxbMwXmxKVkAk1uwfRGtFi1lL0KoLoZfMTJAVBVxJJs8Qvp3NnoBMAOivRQYqMXcoO26k/Bb9MIUuztCbszYQ309mULvZCoVItEzxRRYEUm0dUCtFoHJMjyKDQahwoxk3keFLkhOfwuTmCLCZ8ydSGVCQSRNnQE6OdrQJtGE8xFRbLJUkFhSISuZ7opKVvzUFNd65csxuX6xqKczspbcvEVYs7n5SWJRUvubRXormUpx5UuMSPOqkZ1AAB0
OAAWmcAAuNYAFQagABSABdocACtQ/LAACUc89AAcpOUXLrldy5ed6nzoUc15quDebRwebdSTeFsroNAtgXwLEFyCowKgvQWYLsFl80XI8rOVXLblt83IQPSsq5xOxDaZ+T2NfnrTy6n8+kfuUHFQkl6a0dBNtGHFQDPpp04llyIoAcBDgnofsMwHGBXgoQFwQYISGPB/BjwVJCgJIHeBZpbZRCjBhgMFb2zXZdfJJR7J2FhcDJD4p8ZH1fEGh85P
fXqgqTYUlLhqMPJyXHMqV8KVaAivgVP2IbEyOlVrChqnngaVdv5cU10QMuQlgivR5in0Q3NUX+jm5GijxFos2DEB5wk4DAuMGYAhURZKssWTiIlnBiiKOZG1bLO/69z6CDiuTlSOcU2g+Jbi3SAZEphahmR04o6SZnAUGdfV/qqEIGuDVCr4l3eAhZ52FX+NAZl44GTpPIVgyvZcoanIZASD3sxBaLTaHMDFpFKNV0tUpdqpH5eEx+upJOWrRTma
0OIZUCdBqDSKCSqopqM1YXNfyihkEbEW0PWH6UJTBltPZKTXNGXKKoRbqpuf6wMGBiuelikMdGpsVyy7FKykXgPN4BIcWKaHMWPHU2CAAGHsAANY67mV6i5f1/6hMS1M+ViV2p7ymjjsS3kxod5EgOlQyqZUsq2VHKrlTyu3B8qBVsKjOkBuRWtiLK7YhaRirsrSdyRysxFsCTxXx4i2wUn+bUiXpRTUED7A2YFWEKRUC1QSiAE8BmAHgEAwIecA
CHeAwh1EzALoJdNwCRUYAN4TAOxtwUVqRVVarAfJtrWJLtJZCxvreOb5ClIMyobQCVAvLC1totGqycKVYUDVB1Wq7VvLV1VVFXJ1SydbUuNVEyPhZq0RT8LGAoJbQDoRUjus6YOrq5IygZsevSmQ5D+TiD1Z1y9UkSJAC8ZgJgDYA8BZwJ3ENViKf5pl8K16qNWQRjXdzLB8axWWRscXJrKhTTYmfxLUj6hzoRwqAbgA42J8IAsW+LYlrYDJby1o
oh2V417ynj3GawkhR9xvH7JwZBkyDCe3IHbRtycE7UDasKUS0B16TThTHOs0VLbNVSg1TUqNVo8BBiKJqE0vizWlxBjCa9naMqR8wOMZ7KCbaorn2qq58iw9UFowkqLQtug8LeeumWtyr1cym9dlrvVxrllUkp9estfUodh5H6pwZsEAApswnUAAYQ4AFDx+5RAEh2w7MxkG7MaJVBJUcUdnUqNP8qeYSBuNvG/jYJuE2ibxNkm6TbJt456UVeiO
uHS2Pd4Ea0VNlYrt2L94P9cV1Iues6FoHlb6RhmxFAIRZFHSXhdwdoZJPnGbATMgwdRP2FbAHh8AQ4QYIQDVD6ADwQIGYPQGTiDAhA7IuTe1rfo/SnZcSvXQkslVqbklMq8JjppVD6b51iwIzQUuRkRzvx6M4dbcOW36sDR/hdbQTKc0mkXNXwsmS5mfHDjOgsU+KX5pu0HrAtjPffuyWwlsz1FkWwRkhEJoiRwQ84CgMQBBA8dkCJi76vG3MWSy
vtnEHLcSMKmaNE1hEx/s4sVE7SOMVUSriZCgEedR4ASoXgZzT0Z6s9Oe4rHd3FUxLDd1a5TczTrVaSG16mlJfpKoXpyVoA2M9tA1glY8w5zyHfLZKjllKsu+o8dUj0NU+7Nt18VPIwLSLbRLkF0dpUdooYTBR0Oc1NWHrtW7r/Nt26PehKZ4H9ntIqCLXBAy2fastJen7T3L+00UAdiHIeQ4O2X4RRcgAGXHAAoqPw6YDyO22KvPA3rzMdm8rqdv
IBXoBJd0u2XfLsV3K7Vd6uzXdruw0up4DdO++YRvMGLSuxWK1nUmXZ3OLWlO0q0FMDPZrQDprGudOXVb071Al9W3bFAHwALw1QzgJUDlR4BsAYQycT0MeAQBCBiAx4IcrruiWVrYlQ+43cQtH2kLzdek3YdPqt16ahatu5pHaAd0dA++TAzUUP1d2YzR1W+/BhOt3Z77Xh0/ERRdrXW5hRss7eGb5rfb7rhljXe7a/rj06CAOL2qZS3M0XRb0AFA
JUAgEwhiNRCxi0WdiOf4RrMtpgiYKXoKnB0K9hWpNZxI52Gw4GseHnVrQfHwoEUUAwVTPFF1mz6tcRhI0gtwDJHIlfenrfrsdkniRRqhiHH1vdmECKFU+tJTyAgxxBNOK0JBLMHQTNJgeSQC4eD1S5aiN9zklbfqu4G77U59+R8YZF1o1Q6wjoesPZNn6AVjtc1eBGCCQR+HauAR1QUEZj0synt4Rj/a9pbnf7fa0snI0soaPlTn1GykqVstB2jy
JAAAflBPw7wTCBpYjmK+USVUDvywsbBswMQBBDwh0Q+Ic3BSGZDchhQ0odIObAoTFBvIQ/KI1PzSNK08jfJ3flUaeJETLaDtMNB4oTJZ2qAbsGpWdD7qEAIwKQEOAXAYAJmAEG2DunzhnAfwEEJnyMDxbZxKh/vWocH1KbND/R7Q/1tBmaaht0++VRMEVXTA3xSMiw4lysPLGbDVm2HjZo93b7DRDmjba4ZNX+7SZl+nWpqEgy+Ubj1PSPYEbQl1
zgtzPU9ZMr4ZJ6CJXJ7XYQEJBQAng4wHBSkdDVpH0tOUxibeuYm2KFZ2bSk0VqKNMHNodevmOD1i5QDCAdWrkSGbDMRmoz7Ru2Z0YH09HnZSplTabvH26Hhj+h0Y4ZLb7g9vNniuBjVHmOg8jTg/aHqaZ1Xu67Na260y4YgBpzIMcQEHikQBGwS0Uh2kequptaNJrQ35O/Vdof0en7jXppRQ9pPXPHMpn+wwX9UyNfH/9eWwA8LzWUgH7BsdYEzs
pdSABEScAAMdR4OyEAaM6r5989CY+WwnkD3yhE9BvQPIncd6AHk3yYFNCniAIpsUxKd1BSmYyBJiQN+YCHEnUVEnZnXQdWk4r+xH86jZ3CFqMmzD1+7oJweaFzovI/ivg+3s43YBPQJmdCO8CgAghvgcAfQM4HoD4AgQLWpUAvD+AHjZTlZ+U9WaN19G6zeA1U7pKbOyrp9kMuFLQthn3sEZzCs4ZYcuHGmBzDk3UfYexme7rMWxsCaaoD2OmbQZ
l+Um6aUFyKo9Dxl/bHu0Hu09Bbxz1cnvq2lj4ggwIEFRJu657UjaW3EZ8YJHfHkz+W1My/Lz3ES1Zc9JFGmq4KYs8UvBCYCqtzWZ58AhZrk+5c8veWvpXRzrVOTEtynlTqmhs9Kr0OyWWzioK0HAhv3IJ9IKKaKSex7OLHmBKx2w+Ut0u8KcZO+73dseIa7G7Q/ktBEcc3DLqL9RPJpupBkElRLLiUu46hIhFjLHt8etRVlPe30Sf9WR0dBeZJGh
Wyc/xoHRVLAMPmIDGdIk5+ZdRnWQNQQ1qQBfhPq5ETMG43mBYroMWmLLFtixxa4s8WLw/FwS5ToBai5LrM0t3pQcZ2chiNo9Ck+FYYN4XaTW064zUPD5TBopm4X2VAPhAcn+DXI94HWCEDjBJwxAcYDCDzBZ9tw8QUgN8G+DMBEgVF8szWsWGirut7nCVZJcGMDa7xQpVvu1Q75dVEMqqwQfAjeRIIUEaCaOX+KW0dW9VXVq084d6vOb3DgeotqS
v1DoINzMi67dZc9MLWfTb+l46pmPOXr1rgVzucFfvUpn2JbO2G8UeOREXEbZbdfPDNTwsaKLnoLibwY6FY2uTC8NgCCBeDxAxwkgfxMQCMCpVMAIhkEH4DgAighLzNqs11t6OFWJLADM3aVZkvhM5SBwsUqvklLGbZSAt15Igg+Si3Vj5pkc5sZ6tGX7Tc/RW2McmAGQ5j8g62v4c347ntb+5kLctfdXOXAz3Mrk/2BgD0AYQLKwYEqExFrdaJii
ixRtfPNJmzboVi235ecXwYdppkliEgiRqC7M8N6TG7Rfq393B7w90ezHbL65We2oljQ+JZH3FX0oIM6S82tSWtroEvBZIBVBKgcZZgKCFiOYYeRPIXkCCd5CLa+Ql3hzq28u2OblvzJ+r+xoa/pBGsFzzjTETaH8MaTUyFBW5zW63dSmLWDznds9ZEYmYfHpmJt7a+XppX9zAdoB+8zTkBsQn6p6dC67Q+anXWwN6OiDfdeAvY6MDz17277f9uHB
A7awEO2HbxSR3o7/1x3jQ7w3075p1BiG1JwXtT0aT1t+kYikZPgIIMZ7R0FAPoDpXpJ/YIwECC5WHBIMCiGYPOEJDcxUqPAVPrqDgCpUcrcd/KxfcTtX36zN9xtRpsG0trzCmdo4dnfXzf3nAUWUqHuQb0ly4GYt7BNwslvrHpbXu8B5XYVsUNzoYg9UFFhmt7qW781rBzrdCOOWIjAZk/inu8SHAYQx4dRAvHnCIox7VIie4Q9ynEPZ7v2/I2mc
KPV6Stm0G1eUe6BzByw5tci6yMfrUWPbu9rkaU/KeVPqnx9tASJfjs1nL7f7cUVJabXqnvHG5Kq7WDfuGR/Jqtnqkg4GzIpNoJ7cJ+k7aub69Llp+J7LZNE1QyolMkbGey1DkrEmK6hB7MF8q8FPnGTx/TZd3PO1sHHdsI0ee7tf74zHc4iqbeadkPVl0YweXeffXUOM6AuF84rEAA4PacsACjzYABxB15edc2DIu0XmLnF7+aNg3XWHKB9hxtIY
7eJ9HhjwJCY7McWOQ71jyQLY/sft0JHSLlF+i+xe4vXed8kk1QaJE0HMVUN7FZbaUcpqLt5Ro46YfrBadN7SJHvSsHqPQuLu+AXAOMHBAHgQQFwQkDwBEJ/BwQFwKAIkAOCegwF0zhYZ50ZsJ3hLRVtx+KzVNeOH74GNqu306pd8+baUWUsE4OciDjnb9054OZHXjVOr+lgphXaEX0Iq7T+Dwza0gwmQWmDJxuzV3dMYPsnzqtKb6cPMJ7Vr0R4p
5sA4CTg9sHEbcNryr2mLw1heyNZtchcAGWn0NmM8o5HQGQdpo6FFBKRzX7AuDNjYZ2LogVFuS3cAMt9r1opRKXHNrxTRoVrOuPWbUqoY/fZGOP3eAGoaDHmGQSVMpgXz1Vfs9CeBuOIwb7S9E7DdS2I3PAxzfvroSdBRSA1uBkyJKhRZz9S5hB8qBnaPuQBqb2mR6N+dt2QjDlsLa8fwe4V6nCZ77U04bfQvgDdg2MSDsRcupAAAb2AAKrvh3IeS
XqOsd+bDYdSU0DnD0C/Gm3AautXOrvVwa6wXGvTX5ry1+I/SEq80P6FsTkK/RXkmFHFGmekSqLYb2iVtQpKzMZGwx9jHujwmuXkEDWAhASoK4MnBhDzh4gmAF4MnGRS4A/rdN4fVO/UOKmFntfedyncXerPXX7GSLnK2i6wN4GpqX1yxH9dHONZh7yJ16BPd6sy7Th40dG/AmnGlqNd4qNFNQRiCMmLozcxHozfgicn7dnN7g/9Mc8uZCI7xKQH0
BGBcAcAY4HxBS3j2C9k9ovb/uyMkO8j6JVj04pK3VQdpeStc8cYE8RL9gqrzk9JJi9xeEvCAJL21oWfHi5nBV+10naBnuOJ9FuidrpthRVQhacE2YJZNlJ7vDnYToN7Z8cmhuHPoDpz1OujfMRi452OsHWG4wLnSGZxihpqBX51hprX72RT+61vBf/33rIF3m4NszKPtxtiF1l+yS7XlmFD+F5L0fObBdmqAO1G+cViABYtfh2vf3vqAL7+h6QPk
vALlLv5Vw/jQie2AYniT7gCk8ye5PCnxIEp+QtAsdmb3j7994Y9tiwbIrkjbl4D5W3nFKnO20vTMYTBqoAz7GuOCE/eIF4mgTIIcAoCYAQQJmdSFCAPDghNA2C5QM4EkAokrXgog3efY0+TutPydkq7p5dfLuIGhn+vTA0VZrQzPCofO//eFufJV1i2s0yA42OzfL3tp+W4ueruX7P7FtZFDavD3N2UJQXrNwC9C+neVr53m2lF82DggQQ6iPmU8
EGDsvozqWup2C/mXXeIPl5xt+K8Xv5e7QjJpk5BjhS9rFXs6Q4G0fK+my1X3iV3+78JCe/vfKn2d2p4VMzvNPuA8Xx18bNLvmzK7qowkF8pVRzQJUdSLbZ9cKhf7gtwu4A41/i2tfMTi044e6sJOXPUDwa4cdgcnGSZoUhB80n1A2hlo3z7c5m8nsurxlfppy8B9BezKrviZuZj8ag83mYPmyuD5+rBOMPFMDUhh4D7JdF1sPWxXD7JRx3xo6fDP
pnyz7Z8c+ufAs3n/z5o8NiD/Uj0G5haKHYWqTBPpK4laYgqHxxWZbDuSLAU2pT5pYhwO/51GyfpV6E0CiEqD9g24NuALwFwJ6DMAqVNRJXgXQE8DOAycEqDHgUIFxJHwFZrHazOTjiL6tec7kX5Oud9np7S+BnlExGe8vrFwR+PfDrRTsQ2BMCbQyojapcKEtqe6xO57oZYuexlg6bjW8CBZI5m0/oF5Oqc/tm662wLsv7wi3qhIBXg8QNuD0A4w
BQAwgIIDU5FGfvqv5EOgfhv4hWV5vj4ZmJWvqBlG6amAKgUHztAFWQhwG2zwBbesVLSSWgToF6BBgQ45UBn9C16UBDrtp4S+7Nlpo/c+oJX7XYNfk8j6a9yHMAqglMBo78BYgoIGa+Q5p36OePftc59+s6tA6D+xxqNYvuFDJMAVQLpqgjyBB3pg42+uTgB7v6+tiC4nmU9mv7geFgXPZXme1g96weR1vB6Emh/sPjH+Awaf4sO5/hS44eD1iBZP
W8aMgGoB6AZgHYBuAfgGEBxAaQEo+EAEDa3is0oK44+cjizo4WErpRotuQGOiwOBPIAZAVQyCCVCWMVPmWoeBNFl4GE0S4sQA8AQgAY76AzABOCkAr1NJpqgJmPQDgghLAL5HiQvs17OOtAYs4DGC7hEEamLZlzYeucGF65DedTNMA8BqQQijpBwDtkEzeuQc551KZrEk7jWm4CNjo0K3tUFDKtQUoG2+KgWd7NBkXhoHoAvQrgDvA7wDeCJAFOr
5bNuJgZd5mB6/vzyWBIfvQbNuTBvYQk+lQL5QdU5QXsg+KWwIcC40O9k8HeIzIayHshnIb3oUBJ9o45BBEISEFte9asX6p2pfuVYru9YCvoNINUOggVsdVokFGg6IXwGYhWoNiEiBXfsBJXO+Ib7qRYBQQP7mgQ/iUGj+l+jaA8IEGBtAUhc1tb7Uh9QSd75OQHoU4tB6XnW43eRZF0H3et5r0FUO+/ugBbBfpMMFf+byogZn+OvBjqg+SJjMHeI
LwW8EfBXwU8A/BMwH8EAhQIRsHZhJlCDa7Bv/ktJiuwoWx6KcUVobB6QvnnRrEq9SHMAlQU5s7ZWMDKjT5FuygMnBQA5JPQDMAJmPgDp8GBH8BQgzgEOBwAAIDKYNek7k17UB+fqL6F+7XgwErOUvmX4+OS+H44SkATkhhohKQQ6ECBzodN46+eIXN4Ehwiob5xuHnt0Cag1yM6CoOTdrcZZOEYUeohetIQ770hCUs74SAHAOBA2cUIPQBKElbvn
pmKaXrW4z2HQVC4lk1ge04cencFqy9hJjEc5X6iWAJ59uDwSM5KhRbvBHQKSEQEEKa6noeGQhYvieG32Z4RzYQyz9mVA4s79iLRf2tockFXIj4ViFnOaxq6GJyb4Xr4TmOxt6E1QMDsUHwOl+uKQagVxmrZoOAXjUGz+YEcd5YS9vl3ZqBhtqebT2QVkmGUUKYfBz7WlDgi6ZhmwYMFlEuYVmH2RyZKBr/mwPndaTBHDtf7g+3iHUCzh84YuHLhx
4KuHrhm4duFNhzkS2ECuGFl7xYWnYYcEw2QAfhHFQVQeKHcAdoI6Cp4pwilauBwIf26/GXJokCOAW0CZiaAJmOCCl40Uv2CRU9ABuHYA6CgxEOStrvM5HhSzmzbOunEXKq8ECqi+K6myqrFJ52thH/ZC2RdkA5iRpdriEgSs0MLppyrniP7fhl+ljwBu6kUBHpuWkaBHBG9ltGGAeTQYZHQRPvnl4xGEALqDbgkZnSyaI/lhkYmRjTlhGQeOEZXq
9iVZMlGOgoATtzh812KBTnsAnunxThkZKdHfA50cLrkB9Nrn7C+zEXqF0BbER46T6F4VaSPi42jH4OgeYODw9UTfgXYAO6vhN46WLoTkGBgHklRj3BV7j5KbgFTBcg2g1TAaBKRxIVt7ZGG0CtFpuVlutGKBOkVtF6RMYbtFxhRka0F8h7QQKGdBBUTC6lScLumE2RYOhIDAspzHi7ixJzKMFuR4wSD6eRVLjf7eIRUYQAlRZURVFGAVUTVF1RDU
Ry60exzCCxY+DOu2G0G8UQAFlCxwc4rvOhXjpoNIZlgJ42ylEQO4GcCwCQDZUkIPQBH0V4AvDfAx4JIASmzgPgBUqu4ZCH7hOoTQEQxUISqbtRjAeeEmhACDQowy9CspZMK+pg8gq+I0a35Yx9npuyXOBllG4fhMbkSFdKyRBdDVMEGGGEgRzMZtFPGYXkv6cx+0UdGRUHALqDggk4MoAmYOugdG1OqXqB7gu/IeYK5Gt3lYEPRr8k9G9hbaq4pg
BJKkyYUysfjlHx+rWs7ECxhNC3FtxHcV3GNRDNtO4zkqnqxEGhp4Z46dRclkkDa0ZMTVB2gX9ghKqqaMar6jRbflE7CBL4XE4FxvfkXE3u2oGkQAKrBjnKxuCRBQynkiwNu6ARDMbNbVxCiizF1x+kXg6Nxa1sZFtBf+kH47WFkX8Y9Bu/n0G2RgADpzgADa18OrgmyxaOvLEeRl/lMF4eZYZsBuxxAB7HggXsX8A+xfsQHEAgQcSHG1UfHAbEZ0
BCcbEyOwrvsH/+6Zm/JWxJWgsDc65wVixzAyoCZK3BMAXHyKhKyoTTxAglHABGAmgEuILwMIJOBDgRgEIDYAx4NuB/AmAO8D1e2fo15ghB4XvE5+B8WPqGhkvifEVWScXQp1gqcYjI9Ufrvu7WeETs+F5x3fjLYehRMZ+Hre7no6a2EQtCZDSKGkZb6OqkCbXGuqubpBF7RTvoyEQAw3BolXg9ALD5GBj/DyFG2PMUgm3Rwfjl5jxEVlxL4qI6Ci
jEWlqqvgiScfnKEwCciVJKE0KSZOBpJGSSCFKS3RuCGRxWoVobX2R8TDEJx6ShMC0K8wDaCzGtoN26QAw3pFzuJJzjnHPx3iW6FvxeQUXG/ht7vbpDYToNaT/xtopt64oBxvpBVxVvjXGPGsSfXEFOEXhd45JDTuYF8x2EZ7aCxVkY95VSJ1i6jwqpyoAAtY3hx8uQwfQ6bAbyZ8nfJLya5FEJRYRf5QaSsT5GbAiiZODKJqieMDqJmidom6J+iY
YnGJQTOwmf+DykcpnKAKd/5thsUX/7mxAiYwb5e2oGo5JBq+OaACerQivEp+mwA5z6A+ACZi6gpABwCeggwJOB/AFwP2CaALwF0CFguAM4DbxoMZ0ngx3SaEH0B7EcfGRBXUY+LamvUU7YYQ6cUE4WeMyeN5eJY6j4nuh74Z6EBJIUgtHjWLEE4mbgYIIclRJd2ickL+cSQZFwJBbvVqpU6iCCCRUS4WtCZJVbukY1uZ5qZHIJpDvdEFGKEZFaDh
RbKalpR9IpMBiCIicAq9u3cbSmIB3iA6lOpLqYTGIgE7mHFmJEcWKkzOEqVDGdeZVveJGStYJ+SAiYIFqBHukyQqAjeAbh4llpnnNjEvxYgYXG6pWtNNhC0ZMZaBr226l+EAJhqU2S8ERxmakBatlt6bgReTjtGwijvv3EB+g8USLDxyYQLHQeZUoCZ7+YsegCAAqGuAAOBMC4gACed8OhunbphCZh5rEEwaQleR9HMrH0pUIIynMprKeymcp3Kb
yn8pIQEKn6xmKRAB7pO6dwmkmsjix5FJiUUInJRdYJZLdOh7rCTIoLgfH47hsafcnCM6iBQDqIzgEPZqg84DABPAAIJIBdAnoFCDMACiF0CYAQMamlRx4cZgKZp1rlYk6GRoUwGwxPINH5GGBmnbpmGriaqmjeB7p4njR2vq/GRu78U2lzRrmvG6JI8GFNp60A6U/pDpe5rpGLOZybGEXJiSUdFwAEjMeDag7wGWZIQxSZdGep10TclDxm/n6mtO
AaSUkEWZ0BVCR+CKOaBmGMob25Xgv0egByZmgApldASmcKlEZYqixHHhh8VKn9Jlul5rHk42llFzs5Sbu7TJzGdWlzJHfjjGTR2qdJFpyN7glxVGHGNqZ7cVMaXFWsSQaZmgJ37pSHaRMSVamSZHMdJmTpxepl4+p2XpV4LpwsRgkZhK6RACAAK2OAAkHXw6tWQem5iCsSekQp+HoMiwZ8GYhnIZqGehmYZ2GbhnC64cADYZ0DWZ+lMeTOoSm4RJ
KclF4oQGWImGg0wEghrQeLDUmiMJ0vlF0pEgEYDzg84KlSegLwOCBKgQTkIAAguge8AwWFwKnDvAjmemnEZFiQX5tRMIR1EypBhjRk26oSaYa52yvkNHN+GMcXZsZOIa+G+JOqf4nFxXaRaSGpMMixCtpwmb+5HerMRJkwJ4XhepNxhbpGQAgmAIkCHAqVBTZupqEdW7oRXqTdG3Jd0cty/pIobYFnshXsZDqQaNqtmHAxslBmjOXJuGyY52Objl
tJHWmfaip92a1HQhOnrCFrO1GVVADYLEPCj60J7IigfCspHfFZxmMRqkOGiyZxnLJTaRcgpARoFUb6Q5YMqIvOY1klnvOnbsihpZ+3hlkbRlqUtZI5DcXln++BWVtZFZI8fOnb+i6YLFAm/QRICAAJUOAAN8uAABHPw6Xub7n5hMJiCncSxYYrFg+bWZsDbZu2ftmHZx2adnjA52d8CXZCANdkvpE0h7k+5eKTFGPycUVNmE+wAWII7S8KNjzZqU
aRRaHA1HkznURFst8DJw8QDeAp5N4IfTEAMAAgBPATwMwBXgnoI3h+KJiXuG3ZzmVHFkZyztKlwhK7oYbvZhmgxlcB94cJHZKT4QDlhZQORFk2mMkXaYlx7mjyDbenyJZIW+wEUcnRJ5uTg6W55ySjkyZaOegDXSQgISCHAWoIzkqZfltkkIJuSYVn5JKCUKEJRFOTNlPs3HuHyjoZtNUzmZ5eb3lJ+ngfIneIV+Tfl35N2R0nmJ39PvGuZ1iX0l
de4XKjYTG9YFMalyswEr7R4doQ+Hz5okSG5u6gORxkXuq+bNH9+8kUUFwO4OZ0qb5iDgZAkxR7LDmHedQSOkNBetuOlQR8CdzHXJ06bGqk5zOQ8noJS6ZgmVZ2YarAq82YbrDMOcsaCnHp4KeHkUJNeXXkN5bIc3mt57eZ3nd5uoCAVtYGKenlORWeYx57BP6f6lrS+eclF6QTeqGlMQUREG5l5E4awmgFjweAWbA3wNgDDAQ4ACDbgkgOrBYBpA
LXikAQIISCpUhAM+mhxhGQPlM24qfqFIF7mSgWypPUSt6KpyVjKSohyQPgVpBToYvn1p+ccrl+J+vn7ob54UkHrwYj7v5m8Y9+ppGm5xyXZbQJ7MVwUJJdqVyJwA5En8AyecAJZnJevcWhH5ZGXnblv5vqWTnmF48arJBpncDkW/59traAnssRFo705+avUni6EgG0UIAHRfEBdFMBXlYZpvOS5mPZAuc9lj5RUEwp6aGEDH6T+SCAsCCR9oQQVT
Fx7vMmapSuWQXjmk5rppOi2PFMCGgZtLrmlBxIevixEU/nt4a2TMYfn1FpySflSZZ+f0WJh9uXOlb+sLi+rWRT3i8mbAgABdNb5mhZSx6ABiU/mgeX+bB5WHgoV2wV/memQpEgB4VeFPhX4U9QzAIEWHAwRaEXhFGwbiVYl/LiiomFpsaK555SUZPHUZhIjK52xyKAsWLxcoeqEquCAdBneIcADGQXAkgEYAaufiAoi4A8QM4C4ATwOojzgycAeC
yJkRbEU7xTEXsVD5iBeRm2JL2fYkKWycU4nwyacXeGZFc+dkUZB7flkFL5pBeIFFxPGSZbjWgCpmotQLBVSFQJEJY0Vs83BS0Vcm6SYkA/BdEDGkP53IX3E25AxfW4FJOmU26pazijpqvRv8vbbikR7KdoCetWssWDuXsK0ZRluADGUppHRlEWwFuxfAWWJJpSPkeZQpJVbPIM7GvR1W/wo1Y98SQbcWOlCuRc5apSyYUVr5tGJQUHGvoYpG0Fkg
oAnjiqCBAL+lmWUfmAuwZezLcFMJZhEk5yZfcmlZSJU8ngGj/HmHYldkY1lwm+vKSUV056asWyl8pYqWTgypaqXqlmpdqW6lbCVTqSOY2aYW555Od2EDifJcVDIIjJptw1Qp2uOFU+wuu7YuxnGn6Dbg84GqC7YXQDAAwAygDKWHARgDdJtFdYNsXc5cBWpJ85McU9lxxdiSu5amz4ikVviA0WpCWEarM7ohZLpXkUDl+pKBISB2yajQ/hOSltBO
gKblUX+ekSYOl/O8/hbnLliekU5tOE8fVp8WiQFeB1oGYE/m8FYHnkkbl7+YUmjFqmc4pTAmZfRq6QRqbA6ToAnnMKFlBnOJWSVRYPhmVl+pSKnYV/eA9n854QUcVC5hko+La5MfkaAVMERPchfFTuq4Q0VU3gsmSReMRRgExJohVCY8F5DjwXIdoJ2mBJOyeNb5KFQTQVcV6tug6glFqeCXZZkJblnQlCZbCVDFxWVuVO5ZWaIUVZIJugDO88Oi
VX4lpLmMHyFzWYoWlhxYggJkkMFXBUIVSFWwAoVaFbSxH2H/oYWq8CvNNLbBrYdnlkmn5cpV/p7Hr+UJc7bnUJOgCCAJ48GFXlKWbAB4FMBXgk4BjhqwkgP2CJAUAACAqJ7wOKap5epVmlNRu8bWVWVeFYcUEV5pSu7yW0Mo4kMKKlunFHGHlXZJeVxBa6UNpXGaDmelUgUllX61oB27D+e+WtG1FYJcOniZEylbln5YZdJLbgN4DwDbiXlgWU9x
xgfGWmBfBWQQfCAhZuW/8X5YdHjV6oIyYqi8wGRH05tRi4VURbhRICw18NUCCI1mFUsJ5+RpWZXD5scRxFXVice2rY8CwDVCIoW0DaRuV5YM9Xr6uRT5X2aKuaDkTAfsp07dwE6Kkj9hzFVOXjWlyKwbOm85WbkpVAlWOkhlCSWuUEimNblqKVJWXlU7lIsSiX7l6AIAAnc4AAl3YAATTYAAPS6gBNSR/r8kSA1tfbWO1fVS5GyFhJUenVVJJWQn
eREeRIBLVXQCtVrVUIBtVbVO1ZoB7VIIAdUvlw2S6hu1DtU7XA20UZyUEpHYTyX/pv5QsBzZM8bpD/y6RAq6ilojOyYbZcaZsAwghICZiSAXli8BQALwPgA3gygECAwWdIMoAHgx4G9SHV1rk5kxFR1ZDFuZ0MYkVyWDiUpY2lLiaqpwyqTOwqWaDxaFl0Vzxe6XcZkgUb7EhyKNMC8E1oLvnVFPFSJl8VygaOmNBTRbalRaF+RAAM5AIEylqgkg
IMB45Yah6mE5GmTmT61ZejlU41I1V/m51hKkRGYs5YM5WagNhaXWHABZvpWcaV9TfV319Nc1HBBzNfWWs1o+XZWQyQybaAjJOcsyana5FdQrzAs9Zqoagd2U/GL1otaObi1RRWWClQc7N3A71TzkyKJZ9BcxBNKNyBFV+eCVTUXhhdRWDUI5ENaflvautZ3Jv1s6eZGO5iJQCYu5y6UVUQAOzLspPKgAKFdgAIMDgKTmEu16ANI1yNijceW3Wp5Q
HVklQdegDV1tdfXWN1zda3Xt1MIJ3Xd1GwWo1nKCjUo1RRHJdj5clePrjWABOdRMVNMC8X/UzFE6PKSUCAnrTbk1EFfVqTgycNuC6gzgISCYARgOMCSAFACCC9Ca8BU4EAbADA0nVOFfsXWVNiYLn6e0eN1HyppFcqrKpM9cUoWaA4bWm5xTxb5Ur5rxW4aTlbmqUVjAvCFca60atZw1iZ3DYv68NURufX1aTeP2BPAm0LIYP1sZgFYv51SdlUO5
SlbpmPR4xZtII0MGIyZr2SQJxAgVMAWlbgNvTU8D9NgzXoXjuplYPXmVNZek3GlBxTZWXVxxeCQTGvXnii81Q2MqzpKuDSU3zahDXZ6PFiuVU2DlIOeQ0dAUGOxDF5KNuFVxV+qd2m/V5lkGGfu8VREn755qc/pcNDRVrUrlOtZlXSygjdpm5VojQdau5tkQLiAAAo3w6uLZo3uR2jaennl5JegAhNYTRE1RNMTXE0JNXlgvDJNGwQS3vlTjZDbZ
1Y1e43S0jJnwRXYNOQJ4Y2FdQtV46x4IQAAgx4CyFPAFAKgrcWbAOojxA/YC8Awp5dX3lpp1ZS82WVuFb0kJFeadppvZxhh9n26PVMU1zaaDH2Xhu+RS8UQOhIXU18ZjEDkpIOQLRTx710LbxV/uHTdamwJ0mdDWE0uoFeBqgFnPECRUNKbGW++qNbyHo1nEKi2ChUzamV41nLZtS2FlwUup5m9OT5aBNq8d4i+t/rRwCBtwbRWWahBzf3V2uJzZ
k3IFOragUYQj4u/bwoFyL5TGQ1Qg344NDlSa0cK6rXWkkNYDmQ3DldCLc7k+1pGKBVQHGGt7AtUVUllJcddrwi713FS60H1brfC0n12tXAn8NxFFG38xCJULEm15WaLGSN7OPLyAAIn3w6u7Qe3lVGHk1kkJNVY9Z1V6AOnyit4re8CSt0rTxZytCrUq0bBR7cYWONmdWbHstPYe40ToZwQXXpR7yNaTeKvbq5wbNXIgCBOgFADMDJwV/BwD9gJI
EqCBAHGEpnxAFERqEgxRbS1EZN51Wc1s1FzdRnvF+rVPlfZXhpRVfinlWa1nuFrSvVfVa9QalJZ1fv/nzAU7Ww371cOWwXg1nTVCVva3rd4gwg8QCZjzohICQY9FKNX0XItetWZHyy89i402BAGQ9i2FzZL5Sbq4GXKHSMEHVyaCdwnfECid5ZXs0FtfddEXFt8Dac1ZNtlTk1MQL0TxFC0K3t3A1WAtW3xUVVHSLWVNYtUOVRZzyAlYrQEwOezX
Y/oRt4b1PcB84QkwJYlUg1yVXC1BlCLUJXxhGEdJ1wlwjeu2PJptc8nm1EALLyAABEPw62XYS3EJxLa1nKF6AFB26gMHXB2cAiHYdkodaoGh0Yd+ha+UZ0eXSy1ft3JfJ2CJHLXM1z0+SrbHwY35EDz05Y7uBUZtmwCCADC2AMQBwACiNIhqg5OMQAXAXQBRLMA24EjUqtVZTsXqtIMSzX4VBHXZUT5JHfRlkdTTBhDNW1hlpaLC7be52kNnnbU2
RVLFZfqwMkUowWtNoNe03ztnBYu1etPTVyIIAgwDwD9gmiNdLDNamc/WIJktTJ0PqCal/VplwAYRGDhJjEcaAKg3up2iMbtvNVCFhNL93/dgPfHWYdqnth1wNBzdt0XVu3VZ1oFemhgU7kMxtgX3Ih7qd2aWv4kQ20VHbbr7kFskXsY+hw1sP6vOFDFjzr4NUMbkglkXbC1vdMXQu2ItS7VJ0CNEPSmbdBaYVu1m1ExEeV0OUhc5EyFK8oWEh5YK
f7Ukt1LqN3jdk3dN0cAs3W3ULdS3St0RRH7SbGtdzjdD3UmbjV119hZ2JH6R8xzggwgN29oK0Y9gyEIBsAx4BQAKImgDeDMA/YPZxtgnKoMCxeuAHm2GdWHSZ04dJbXh0Wd5zXZXEVOpqkXpxtUPT39mjPa83ENV3Z203d6+Ta0eerfACJDYbHVC3A1HDa93/OUYWzGxd+bt91cmPAPgCEgxAC8CEgcAGV4iV+OU/XLtr9TL1yddvcVpWFYIJrKA
d/JcqCzAzUAJ46OWndJKt97fZ33d9qTYaWnVmrY67atadkKSnFVoBrlwSBoCNrYNTTHAzZ91wm53vNHnV83dtYwD14f47mGtC+UqGPQ0NNPIJurnQu3pC2rRjMcL2iZdfewXbR4vXF1cxCYSi1D9qCeQ7y9BVdu3PeEgH95slPySrwIDH5ldYa9lVVr3ElWOoHXFdPiL73+9gfcH2h9hIOH3HgkfXF4x9Q2Zy4uoKA1b08JzHsNXTNuFryXuNibt
PFvR9tkm4jYZmQJ5DOVeZTVYGhAIcB8m6iF0Dbo/YF0CTgmgF8CYA9AJFQ6JhgZzmn2DNWDFM1RPQg07dSDVZ03VilinGT1qlo23HdsCBqIM91HaIG0djafR0K19TUXKnQZBF+SVx4Xew0QJUXaL2pVglU32uWXIpICc+N4JoDxAycMp4htKXpJ1o1cleD1JdsnaPEj9Cnb+VW6kfiNhoNyoCj0oVVmVIC+D/g4ENr9jNRv24dWrSPXltBks2XVW
cEkcb1WS2bT1n9Jgzn1mDEkdf2RZ7PQNZUF45Y63zRILfQWZRJ7BchmML3a4MAD3HR63I5fDVL0rtEAyI0btYjSLxYt4hc5GSFb5Uw7oDchZgN+12A7o24DJmEIMiDYgwCASDUgzINyDCg5b0tdOeZNntd02b+VWg+dRwPDoI2NNX9ejhdjQGdw3ZtnoAihlCCRUAIDvBdA6iLgDfAl6ZFTyIuAEOAvA3edkOqDuQ4n35DuaTv3hcCITBieuCGCi
HkdQtfNi1DuMWCjTRiTiX3G+5tMgiOD3/WAkMAfwAgD0A24MnDggrcfODM+HAAeAshzgNE0vAmnRx2sFkYYAMN9wA54NBmYxYGlciG0DaD4AqVJJUg9A/RjVjDMbaH7f1rAxC1eNw6BLmAiAuqXVd1aQ3yPxAAo0KNKD2oZt0IF5nWW0wjBkj5TkCVwe2nUCA3YYPuVq+pHKojl/f2VK5SYIxUrJQ0eOgxEoggdp3ditb9V6Q2uSDzhJP/c0DEjp
I+SOUj1I7SPvA9I+MCMja4Jk4H5fQ/xXH5HgxOkjDg/ZEOQ9QBsbWTDb6or18UfgniWHlrgjmNoDKOkD4Fd+Yjo2ktejRABvDHw18M/Dfw/oAAjQ4ECMgjkGeimNdmQvmNp1Djdb0nDWdWcOWFFw5TGJtXfFqDNkMfN0Ve91eegA8APgC3jqICiDABnsdeZYDgghIIEN9cPdWt1mVBPbqFmdpbdv3Gh6diKRZ2N4dlHpFyIxaPUVaI+FmfNDQ8X1
ujNg54aI0loHwEJtBI46wvAG1UYBUYSoMoBc+FAOfSpUaoJoBXgCiACD6A8/cyMBlWWZrUcjjvvx30p7wEODHgQ4MqBLFyNVklhtVyeEPjNClcMWf1TAypUlavhrYVJAalepAugqzVZAl8C/YTSEgCE0hMoTYIzzkQjO40n26j+402XcRr9txgf2wTt/bmjLnS9WXjy+deNs9fVnJFjlXPYF3tDb/XYVOglAqYYZO74/o5fjP438B/ju2YBPAToE
+BMztnHayMDDOWafXW5YQwPGijyY7L2phO/jAOZjp1rMOORyvQsOFjmvUSUrDZ5Xr0Wy0456Czj842qCLjhAMuOrjXwUcOPEA1RnXdj37b2MsDjvfQIHJthZci48tIqtnrZ/Aw0neIh9KQDOA5eG31DgLWnAB/AMwGwCpUx4PoBXgpAB5zAx+PfH2E9pGRoMk9Wg8wH7CV4SvjHjR3WIYZyTzaa3Wj5rfRWWtWI3eO2t6UXW0OdHlE4OPQXQH8Ce
ghAN8PxAqVFomJAqVDeBAgtmU8BGAFAMeB38EEwuUa1cY432wTzfdJIwAAIDflDg5Ucpm99j9XGYmTU6WZMTN8JSmUSjMPclFIOjJi6C+NbEA8NpY9+RKVgFqU5sCHTx06dOMTFlVt21T+HfVNUZwpFVZsQqCNxhfI0wL/XlpTbXg2lN/5V1M0dPU3R3fNrCKVA+eJFlFj6QWSq/22DjEAZAcQO3itAZO405NPTTs01rELTS06eCrT605GM/OLI4
GXuDu06uWJjN0zhMf1XgduXpjwOmIWSN1jacryNgAC9NSjXMMZ0osxLNKN6vU5MYDLk+e069RXVe0QA6U5lMLw2U7lP5ThU8VOlTHnFQMcJLqLLOSzdA1+m8JZhfhOjVv7dFP0i3Zom2rQVftUarZleem0vD3JvODcacWlCCHA84AohDgF6OoiDAkgBz5vg99RqOBBWo3WU6je45RkDJrVG3zwjSIYiNGt7Uy23z1F3RU1X913Tf2zRDHUEnUxdo
OP6RMGTnCA3g3wOohsAfwNtlqgk4NMCYAB4MwAwgQgE8C6g6zZtPq10XRzMwToZftMETR0eohKgSIuoj0ApADo4yVYA4l23TyXfdNdhcbfbOmME/dcOVAKKElxbe0iVZCITaQ8POjz48zpN49OfluNdJ6g3HMFDeo9PpmhTUBaFbe1oYXKykmGMjPPNQkxxkBg+MV5Ielo5QpGtDPPYamrQURF/ijTSEBXNVzNc3XMNziQE3Mtzbcx3MszM/t3Nu
D0Ex90S9xk+G1YTq7XclCFAs5i0SNcA0YUq98wwWMFhSs77Uqzqw2WO4D22T7OYAfswHNBzhACHNhzxrqQCRzXVar0Wz42eDbWzsba42ddpSZDzctdoBT4UTs6M4XfTrhb9MSAqVAyr6AqVPgBEkCiMuB/Alc38CRUfwEIBQgkTUDNHNGrXkNb9F8+xOwj7rinOd8ac/zZVWHU622vzEbnaOYjTFSUXEzZYBxUjYnFaw1V9ZQH8AXIiujCD4AkfQ
CG8pMIO8C4AmgEYDYAJUPAsKBtfbGNLlnM80X7ThNIMBxGLwHlM11wPVPMJd0veZPD9Ns5KNLzmoF07zZK+D56uLMfKhMpTKxegBJLSoCkt/AaS1HOMROQ8c0sTUIyX4JzLfHzQYQG7h9meaSIz/ZxAVixeRttOczaMfNDFfYsrJZTDrTL4+tFJOjt9Barah6Dohk5eL4wD4t+L+gAEsvAQSyEthLES+9RRjMLf/0xLdvvGNczV07bmYLghfzNpj
uC8LP4LmdCnQ90SA13RPL+XVVXkLbkxeUPUsi/IuKLyi6ovqLmi9otp5KvN3ScLH5acMxDHXXbMCLHEABUOgvAUAox824GkPgQBANxaRUBoP2ALwV4BCCpUMAEYDZ6ygIfP5tcfWq2D5LSwYvQjRiwZKyscvjFyme6c37KDLZTUIH59uc4X35zt3SO33dxIfOqduKKOb7Ot3KP4P9g84FNPbg8KH8AcASoO8AUANyPpCEgYjrpNszUEztN9z8S14
NcmDcwvDjACHcQDllemcKPczkbWKPzzn+Y9O/lQJdMXDojoD06iCJdT24UW4pSLqSl3vZsC6r+q/2CGrOizHNnVrSxRnxx4TOtAfk0DDBjBy9zUjOsrqM0QV2G71RYOfVWMze5QyUxjciO2RMw+PZGf8daAQUwC6KvytEq10BSrR9LKvyriq0qDKrkS0lUi9/Q+62GTn3RlUXLAxVcvY1Nyxi3Il6XUr2AAAM2AAObPw6fa+8vLDny6WPuT6AOis
ogq4tiu4r+K4SvErpK+lAGFKvIOvHDQ1VCu5L35fhZ0miCCwZjYAtJ46yhuAKt0ezldRICbFkgC8DmctEGHaKUfYEOAggMIBcCpURgBEUbjhbVVPbjZ87uOGL7SzKyy+8rCZ6K+blWUznjrnXGvtWCaxjOWDWM99Xr1v1d3Cagj/ZX2+jEAHAC6g4UF0CKG4wM3OSAhIKJozAuAAoiJAk4GqXVrf/YfU0hx9SgsgDqOfVrKAQ4BQAAgcAJFTKAx6
+dMjNV0WD3YTWmdG0WrFsXhG/ly3ivZzAKnbGvOrVjGBXo9E43FIMbTGyxtsbsfZVMUrA9TVPnzNK7+s/cdoeLlLqiKE8ioI0uRSCC1oG4JNoz5g1BtJrt/dRl+yfzSewugDQsO1ue8yzJObg+oCexbQYXa+NuiaGxhtYbOG3hsnshG8RukbBy6zOQTi5actxLkvc2ubWra4bXotEw3cuFVDy4AC2tYAAtDagCYcgAJGr8OmlsZb2Wye1FjHy4V1
KF6s+euXrUINeu4rQgHesPrT6y+sbBuW1lsQrrLfI6RTDvaUmpO7bjLTxMoi1sB6V44wINJMycGGyHAN4H8BQAJgDeD6AUAGKZdAFJNhCurFU8fMfrp86pvfr6m8Gt/rrAQyuAbnAYYNZ91Qxf3gb5zt1PL10G5Ztg5/U6X2l5sxRk4UA/YKQCeghIPSNAjVLEOBCAFLAgCaAycIQCTgZ0+AnRjtaycsQRNqV93ar0kpIByeIIMoC6gfJuksYTz+
RG0RDs81EMf5/G6JVLzKti9PoI12OKQx8LelJuDbkO1fQw7cOw0vHV6/c0tfrrE/HObbUQbAiGgsQTix1+fS3T2HbrVsdviR6IyJM1NYkxz3NDkk5mvFyHBtt70xjrPduPbz23F5Dgb2x9vBA3279v/bhy663w573aoFRb6C6ZNmr2S5APCF0A+I33LqJQeXO1HCwVvOTZC8Vu1VcGugAwAw27DtjbE28wBTbM214vzbEmsFPsl+GvQMTZPY9Cvn
DrA2KArzWZcOg5yUfCWko9c1e6vSbiQHB3fACiAt3MALG/2DfAB4MQG8mLwArruBR86YnKbpndTuBrZpYR28AJi1KFmL3fPtsnd7OyaYL1zPQX2s9vOwb5XbZQcqBIIGGIL27qqVJODiI4IPiDYAEdfo5CAf3alTggCiOED9bqq2FvbTsS5qtn14O4TQHgteDACDgQIGONchobaEOa7109rso7KY2FYPTi86UlAYsUuUYGQGoGRYx8ZNRIsU1Ui+
gAL7hwEvscAK+36uUr+e9SttLdOwZLXzAtILRWhrSg/NgCj4lXvnd5TW82jL9Q6JMjl4kz/Pc9euQw0aOYguvjt7nTJ3vd7ve/3vaJQ+yPtj7ZGzX0xjR9RwXq7aC5hNa7yO7zOTNRtR2u7lx1hl0SF9k9IW50is0sPKzlu5e3W7EADHuRm8e10CJ7ygMnup7x4OnuZ7Hux2Ne7lswwPrrvC5bH8LBmf2FXDwe5UDQMoFHmWrZygGkP4AmAAgA8A
R61oGHAJmLgBQgxAL4svArKbqC4AzY2StKbG3S/trbNOz+sf7cloePXhJwkd0HbfZkds173lXXtSREB8UXYj/K0+M6gSB49A8ARYJOD0Qk05FRKgQpvZy4A6wFejjAbGwDtHLFG/X2I5Zy1qtcjzwUYBbw+gEqByD8OxvvEHW+6Qc8ba7XxsCJGO4fvxMhXlcGtQtYEAVWMyrSetCt6APgDZH4wLkf5H5OwaVNLei5CNv7Qa4RXmEEGP7KfIo6Ov
ZsQ02gAfn9HOx4dvVS9WMu9T83gpZi5Z+/WAlyT7kLunQ29UFIsNTrdO1pQIR79vhHhAJEfRHhILEcIA8R4kfK7s7arti91G6tYij2+2Qd3T8W6l0K9Xa13RJi8sKgA7MgAL2d8OsmK/HAJ0OvMHJY7r3fLnRBodaHuADod6HBh0YcmHZhxsHAnfx4Cerr36YwOSHMKz+XuNuSpH5zAcqCvgx8YDQNs37T0IcD0AbgQeBGAygH8CpUkR56D0AhIB
cBXglNmN3P7Km12zE9YM42UQyJkLAhHjzh9/bb4Ak2jJw9IBxytgHeczeON7vK+ar8rEGMnh26GTvODHgQhmKbS7TwD7FsAWifQCYA4IHXiKDXc2011rau3SEZHvdtJIFT+AJ3E/AaKexsmr0W+AM67aOxUezNpSR/YvT7mO8hOr/cBRYBNV+0E1citp/affAjp4pvLbuewn1UrYQcn2k9DUw8jbQzyFxN8Rn9lx6njDVCiOrspm3UOynPh16H87
Ek36FbHvwtgWTWP+e4sob6p5qe1zQIzqfe2+p4afGnOBy4NA7+B0AOPHCYy6czzrx3PPvHIhQbtJbRuwQuHl9B3Lje1h6brxYDXy2S2Un1Jzop0nDJ0ycsnbJxyfiLi662MjBmJ1bPYn++3wuwrBmXpt16aRKMkKj4m9jSRnzw6euvDCiJRjtgq02wDvAJmKZgdHiQAvCMARAVyd57NhwXvZNSZ0E7RBwpznaBO8pM/OdTnOxNHCTBRdyu3jCp/e
ONMQ2LaTjHyG4SP6AH2zwC27QIM4CpUzgAogd5hoJ32egIIP4NtngO8cudn7I92f9z4O4PMX1uhTwD8qfwIR7Onm+5cvmrIxRusH7x5+pVDhZYCAH79YmwGdWMnKmkOMXzF6xfdHhzf6ub98Z2xMabRQwsDJA2oJVDfFiQyf1yk/auZrzaNi/kXvz/lZ/NNpZFnAhzqZlvPrKnvxQGFKnD7CvzfOmF9he4X+F4RczAxF6RcLoIWwgtmnwO1RuEHT
a+xctrnF9gu3Lna3uVK9BLui5y8Us/ZMRXpylFdgnFuxCdqzbB8QD3naoI+cUAz56+cmY755+cIA356Cui4sV/Fe7n4h77vcXh53if5LmZ/D3h8CKDOwcVvW/DBpDUALkd/AuGy8DRkV4ACDzTETcQCkjk4PQCdVb68Z0xn1UzyegzCZ+DOJzGcUAjqgBS2Ah2BVZ4jOma6qjpeQXcx/GsLH4Bw3u+HTe8SHrzOmhX0ZOUIMYdoZfwPQCxNJmJFQ
Tg3wzjlGnMwJ70T7W0z3PILfl3x0DzYfkdGDARiYehX8SABktE5ow26fijC86P2/lOciwYZR5yDVd3AXBvoC7NN5y0cQAP14SB/XBfD+exnr+/Je07Qx+xjJA3+5aGvYrlaqopMMa3pf0VBl55LJpF2yghQH1BTAd/FSWXnJnadl/mtlAp16QDnXl1xQDXXt16TSkAD109fV97Z5ReUbBB5aca7RRxxcg3FBwluhX1B0r20HKjQ5PELQedOeh5LW
SVtsHrV0qDtXJA11c9XeF+30DXQ18If9V6dZ+3hTbXX7t9jnLY7O2rEoQbkREW87OgpN1E/GnKACiKHMXAE6G3VpJ7wP2AKebc75TJT2e/3ljXn63+cDHhe3ZWwSUXOwFKsLCmtdpMG19nOgHp24seYztN4XMQ58G3mBJWOShk4eFBiuoiSVm8GwAwA3wH70c+8KEIAmYp+Ekcq7XHfWtpVRk1DUJL3iJhkwgcANtVbVBRwTnPHJRzOloteEzieV
HBmYBk7SraV/GeNIl9jTgd5J5UsQA3d73c9XZAQRmbjK2yRkTXam+/t4392NFJlQ2Spo7XYUwAZsL42l6ndDqUF+xkfVXbVFlxAOLNptwoZtBwRujy5qdBOJQ7dzXF32AKXfl3/YJXfV3x4LXe6g9d43e3Hek+zNvXkt0QeI7GC0Fftr8t1Qdu56AIAA0S8BovLGdJg8JXM565OjrUJ6lRe3Pt37fEAAd0HdvB3GvEBh3DXYnWbAuD6Vc+7EU7bd
RTHW1/0yjGavpoANpo5edpYTIxUtFlJXblQzAkVPgDfAmyzwDXXsTaQAkbGoACBsLI14L6R3q27vfrb+9+zX0CiwAneMrcXFwEoya+pqy59k3vMcs93h7tfWt+1/rkpcUfJUXVnhIxylQgeibN1PAB4ICE8AbFiCByGMIAyfC3v/bgcdn4t12fvX3TXPvxpPq/QBdAgwN8DLxwQ70WD3pq8PdY1cW2PcHnsQ3+0ilnD8ch5g+mwO0x8Q3YTsUnT0
v1dRPMT5jfjXfnOo+DHmj/dgugKQHKjTAV0G+44F2Z8ZvC1t9yQX33RfaUxL4n5MtBprf8WWe2i0M3zDCrBx2UCOPzj+GZuPvYJ4/ePvj+RfJHc7Q8chPBDok/cbI97xuDn+u1MN4Lo5xAAC4gAAtjgAJC90sPi0nPZz2bukL+DyOuQn85wCAiPYjxI8mYUj5FQyPcj10AKPTLRc/NbNvWy1tb0h3SYRE9gZP1MQdgX5RNIMfBtOCPBnIkAwgDdY
QCJAFJMymYAy3QQFd9k4EqDLd5T1HdqPthxtsH3BjH7JsBuj+71Zn5wkAfGPl3Zyv17VrXqmObfK79X9eKokXfs3kANaCIV/YFeBVQJEHhkLwUIFDwggHAOMB+PTd3cct3Fp/Emz7mR94jwAqfFZyriA9/33rPsW7hP2K0KxPd0m0DNPfqgaldvUx8aPVHuDbcr5IAKvi25vfvrKjzveVP+Lxo9F73QzEHV+zOyVAn96om4ezH6d9KeZ3O13S+8A
38wzdzLdBTJOlpCXMghjP7HUhAcvvB9y+4ZUAHy8CvtoEK8iviz83f6Trd+kdS3CDyQcbPyT2q+PqIV6g+2Ryt6buOTJC0weJXPync/ljcLwi9Iv4ICi9ovETXACYv2L4Ve2Tvz9be29FV1IdHnQL+vhF5BKPChJWMfH49urP08vcwAodQvBL7V4HGSvncAAeAy7zcyZj6AIEzi+qPNr/+eWdgF7prAIC1+85LXUxwaYzH1e56+17NL+Y++vsG4x
0MNxedUzdwPo4SMUARgPQDPS24BKYqLy6NgAvAO8CIQUAXeSm/ivab5K+g7Hd2E9EQqVINzHguiR5doT7qZdMBXMW0g9ki3bwJsB7bTMRNJuekL3Ax8C60jcerESJB9itMH+u/Wv54ra/VPRe31SE3d83/tNWlLxTdnbFmxQX03LQ4zfWXv1eqAn6BxmLtuiz76+/vA77wCCfvUAN++/viQP+9b0pp9EtUXaR5FvwPsldm+qvfM/m+UHaXWFdEL2
Dyf5XP5bzc8sH0werOTvPsTO9zvpAAu9Lvi4au/PlLY/Q/G7Ih9I5iHzDzbeof/u0vMmpfFyYws3Qqxefz3aWFQAe3mwAvBwR/YJIDRApAFCArgHAIxtwAvtlNvfAuPRYfRnVh9yebvMdwBcQzQF0KdOHoF/FzqWSxjUN5n3O7Bdyne1whcDTqNKOjxBqp2y+omkgK3VzotnAuCPbCiOz76A4wP2CTglJIB/QP6q9Ps0XVpzBHdCk4DABXg6iMiC
L3a+yEMJPvZ1ks775tu12av+jBAKFLoLy6aJuiKw0fY0fA80cEfQ3yN9jf+ABN/h3qrcl+/neL1u8p92gymc8Rb9iXMZn39m68aWBXx0+QbTHw/eNDhQWx+Bv7o/QVsQoem5vhvHi5AAcAdX0LCegjX/ODNfrX+1+df5h2K89f4WyDuet/l9LeBXst9s9WTw57AP7Pxb5p9ApU52e36f5CerNBfmgCF9hfEX1ABRfTG7F/6A8X+bdbAOwYNVYnEh
2k+4nW6/ozKXQi77LMmTVyqs7f0m7gB4korYvBQAFwPoA5onoMEuwgsQp6Cr7x3+t1YVuiyDN73lH8g2Cnhws1MinPVJnEt+8uYV9XjxX4Wf0vbQ3nf0F0UqewT+aF46xAgFAMwBIgsg5OBQgBrpgC7YzABF9Qg2APECqHnl1Et4HQT9RerPPdoN8QAcVNgCt13KchEzNF06M1I7ObwbV5vUPah+LfCNHBg7SJ+rMYMiMfMq5jvki8vdh/Efz6uk
fag9Hc43dh4S/OA132md3fvE6jEtl6MWr7/ZL39tcFnFj7mD+vX30M88gzSOvajogxfY82/dvw7/0ATvy79u/Hv178+/0n/7+pHPDbx3vGKr8h//aBb+p+K3eP8o0lvatwSUa32vRQtjrWwML+CaC8GL8S/hAFL/6HMILL/y/dD9QM7nIU5bddja6+Vc4nrnwIsUzynYZCQBBoCtmilmgGKBpDLXxgAQgGrw26FSo9FmTgggDFA9G3wApAG2+iXx
z2p3yxupf0lS5fxqeDyA1+IF1vCqqjcSQWVmSjHyzu52wLm1g3K+HjSrYZcxq+RmBmAWABBAzgEnAQgF1A34A4g2AH7AnFnBATc26+aq0R+vlzgeYHxlemwEIAoX1xWnw07mk33ieyrxm+wNzm+OS3Hunp2POaRVqu2sjgwa0F1MR3D/+sHxhenGgEBZh26uUIBEBCvy3uVrxL+53zS+27wy+nyH5ogtGZM7+ARshg0r+gWSrSeAIN+MFyWOHpSC
qvlFagnyG1ydDUnKn904QhkCqgMDHfEFAJdA1ANoB9AMYBuoGYBrAPYBvvxrWYt1n+PHXSqwwwkBSYykBuuxwWCtzQeBz25cpygFwgAEqawAC5k9FcVbrFd8gUUC8HprcL2gZ82DoADgAQohQAeADIAdDsRwLACmWjkCygXY0mfmFMn/iw8XPnbdMdjaB0/mfErCBs9ZQn/8e+rn9r9svdwQMwAA4oolJAJeg8+BIgJ5jAB1EO8Ac5AqFe6so9EA
RU9yPhd9Ezhl9d3vNdQEAe8IEEe90AUxkHAeqknAW6VCATysGXoqcmOqOEv7FTkavmwAFEEyooQGwA2AP2AKAMINQ5pgB/ZgCAJ0GQMOAZPtXrhqt+vtK9rTvRd6tE+s1QJGx8AEqARQIDcX6jzNSjlgt1Xsn9ZAXSZIbh/8nxvwFGhL/8KoGdNJgSGcuTPCDEQciDi/sxNsbigCCXmgDqPrfNf9iTdbAZWkrPI4Dm/mY8/KtTcwJB39Bdj4DX3L
LUxBCVBCUG8CPge79vgb8D/gZDsgQSCDFHiLcKLikc2RnJ8Z9gp9p5rN9+zqjsUukOddnobsaDnZMVbhOdBKAT8TykldtbiiYZgXMD1AIsCYAMsCb6GsCNgQz97GqIcuFrj5/nqw92tgZlqGoyZkuOAIyXr58JAH/91xgL9BtsQ8mAXON6AKcBwQH8B0Vn8BIICCAF3jSCqdsgCc0na847to8SXrtso1hcCQnLgDrgVyCvDsDkSvpY8yvh54KmFF
hTyI+9HWFCAgQAvALAH8CoAKywAQNgAUECCA/gCCNtwIkABWs9dEFuacVnjwCPruB8JAG75JAMuF1ENiQlXgh9Ufkh90fqk8wbuk8l5sLRFmgEDPRv6c4bs0I//on5gziN0RweogxwRqVJwdJcT5mR9etBR9Y7lZ0NftDk+vPqAKZHtssznYComGqkbPPgCfXjc5QeFDIwkmCAXRlZcgukx0OMPEEehjV9awfWDVpocAmweCAWwW2COwZ6AuwT2D
FQUs97jr3MoQeqDMlpICtQbvs5epj89QSOcMuq95cSgD5CFhnR8IRj4Kgbv85zuWNwwZEDIwdGDYwVD54wU8BEwQZ1jZq+kSIf95MfPf9Oxt7tuFvucFwez84bAjQIiB59MWPPoaBDNUakn/84AqGCKTrE0VoNgAVEBTZnAMeBxgFABCQDeA5JAgBJwFGBkwX0c4zvSD0wZeDMwTtsFfAGCTNDAhhonr8m/ptcINi38uViWCTfrxlS+spYN3GKDP
NgMoTMLJ5MALgAWfCZhjwMQBTXmwAabDABnAGqAXgPoB3Zv49RbsqCDJm3dG1kOC+AQgJLOFABPQHABsANuDjVqiCuNsp9yDlxcZAYGklwW4sFASHsSbGRZQOpuCkEGkNOAKlRkoalDtwVGcEAUr9ZLvosy/gyD7XgcJGdk69a/C686/hZC/smNFCwRe9iwcb8/Xqx8BQR/cEHCtBn+s4QMnB5DMAF5CfIX5CAoUFCQoWFCIofD9OAVPsItmqCUf
lm9ijvH936jlDgrmp9Pjhp923kRDtPqW91boT9zQVbsUTLJCqMApDvgEpCVIWpCNIVpCp/gnVb/nZ8LblxDHPjxDWfnxDX/jIcXTO24xBDMYxGmMCnQGkMrwH8B1EMeBPQMoA1QACBvgIQBMAJ8NMMnDDPzsnABHvoDLXjsDcXql8WoQZCkzvHcswSZCcwdwEsio6EnSkz1PDoNDqmle9c7oy9b3qdp01oMCaviCAxtjMAOADCB6ADwBiACnBuYN
8BJAIoYOABwATMHlFewd5dZPnP8kgaE8EoegBIqJdlBbuF8gzhlCEdop89odlC3jvODLVjxcgXrmtp7hbQ6wIsBNvpsA//jTd8PtJslYcnAVYVCAgzvVCI7vjCN3nsCTAZd8kzg68OoX+EuoQ7cszt2UqYQvkBoTKc7IcNC6bsWdoDt99fARVpVLiZBpRvscI3mlBOYflMeYXzCBYT9sIVCLDjwGLCJYWCCXrkgtIQUH8V/Ih9XTmkDxhh8drJl8
czoeOc1egwcy3j7U9PjdDWDiiYYYXDCEYUjCUYWjCoQBjCeVBrocYTf8TZnf9Pdg583QXwkiUm04gYX295AY71duGb5VvLw9AweOtfEGkNkJtuAAQJoAYQOCAs8JOALgNnouVKlQmNl0VNzktsGoSoMmJimDjAUTC1ftoMjgSAgdaHqAzgXaUeytTDXwa39GYcQCfwvMAbkOKQyUjV876IJ1nAC8AKnIcBvhgHNlAAjcrwEH01QMq51oeCD84X19
C4eoEjon8AzXOpAM9P584Pn31pwbtDbcqahc3ip8k/nlD9Mn29XTMp0qwUcJetn/8EvmSDdwXPAUEWY4KAOgilHqCFDAbSDUwcPVWoXZUmQd0sWQbFNDBv7CHSs/CbgV084LpAdw4QG8u/iOhj+r0sMnH/DVSoAiF4MAjNSgogwEceAIETeAoEbnC+wT5cJblK9UIUDccyLgiE/vgjUxsdCK4adCLoSbt1/grM64Tv9ZzoQ95zivC14RvCt4TvCj
AHvCD4VeBNzixDuqs2EugVbcegc58X/v0DD9qM9CajVBkLi6AzYUGCQQFJ8NAfVogQFABkMl0A2AMuAhAH0JB7GypNDjm0oQCGD4AU7DGodYcL4fpCr4YBcMAdl8sAYYNKYQIjA4dZCTtujM3vt09Svg8DELokhVLhhB+dID8UNoHcbCNFQbwIcBwQDE0oyNuB9ANuA+NC8A4ATAi84f2DkIQgiGQkdF5wHABwIJFRxgCZgnYnE8JOtN9i4QSJDE
QdCdYViDCEScECUDUc8UEkAgMFEjF4fV1qEZ7MFkUsiVkWsi8kSd8CkSl9XYZfCLwYBcq/rxEa/gJEuyngVqkYQVakVztDfi4DuMvyDSzoKDAwmew9ZJfEZEf2AekRQA+kQMjWXC8BhkaMjojpojpYQH9VQShCdoZrCcEUv8TESg9V/lkDcflXCt/hVVdPpUDVZhaDnrAkikkSkjtEukiYQJkieANkjckVudbPmOch4T/4/nq1tPQYC99GHy1iJk
qkRnqMDWNH/9JYdJDl7muIyBjCl5uhwA4OitNdQJgBiAEOADXBwAx3MfD8kafDgZtqMqnm8jDgXNdb4YtcH4T3wnqm08rRkHDvXk8IJlqvV34ZfpacikRjINWC3RAeAF4ECAF3nGQW8mqAomk7tgljeAngGqA5DOiiZPpijZYe3d4oTCCvrhfV9AFCArwCZgZgKlRBgHMJMoWM0dkUI1tQeUcnTumUdoMp1nTEFJYbpDCfogF8tiLGj40Ymjx9rj
DRrs7DTwSzZikfqiZruqBTkNLQ0EJFImlC09+JpR0TNpaj6kWMs7FhChljrAg7wdVB4mHKgJESdh+Iqo4avq6j3UUtVlUTABvUZNs/UQGig0bEDyNss8ZkYOCF/ikCyCGmjR7sg9y4Vj8bJm2NmxLmNsxieiyUae0zQZW9kriiZpURylaIBcB5UeMBFUcqjVUZ6B1URsE8xuej7PtyjO3h6C+gWw8DMqbDp7lFhoZuWBXblURWLGkMXgJFRCAFeB
MANuBR9gYAEOsoAhAH8BV4EOBNALBCdISr89Uel8Zrpl9NfscIcvqaiQNuKcLUQCjoLrcDmPvcDTfszCZJv2017IXkavpOBPQOCBA0duBtspLoWIKGNZpvOAEbp6AmjpFClQeujYHrojeAdadCaDwBJwFAAlQOCAmUuUt1kehNCjtgiBiruitnrrD0djiCBUe/9HbulEQeA85RUeVD7kVcjbzhABpMbJj5MSZhFMQ8jFftqjlfrqjzwfhj07B8jb
vjxNvkWaMjNuRjczt2izNg0iREZA5RoWCjxocb51QCSFDIEEckIKxj2MXokuMYMAeMbhdz6AJihMZMitETLDEgeGit0VsjO5Opiyjhj9ncjhDsfgaDITDXDJzosN64ZSi9/lCcYMXBiEMUhj9AChi0MRhisMais23hYif0fik/0byiAMV6C6TNVpMPnBg5aup0//rE8dwZ7NYKvOAWQqQBpDGHYYQEMIEvJOBMAL70DwBKjbMQYDq0UYDCYXWjnM
U2UykVr8SMbYDjWutcb7pRi77omt3vvBdmkSQD2kWbQhsL7D44UD9DOIcBEtCrpjwDABsMn0JJAN8AlQGXgxWtpDV0QE94gSqCw0XFD5YZGjJRqGdDgBAjk4FvATuCmi4/rljMQSh8DkUT4QXqvN11LeCSeOcjIMS8BEboU9l7jMAocd9tYcThjHMfsDprunY16KcgEuAihNHFnI+lpDJtHlwhr7lnMpTue9g4euwP5jTdJzBOhM5CfoB2pcF4Vp
OUlOr9V8UEtldMQP83RF0BnscfQu6u9iFEJ9jvsb9jjwP9jp/oE8EgYMNIaskDsscRREcdctVPoSiToWv8uXIS5rUIAAQVd5wgAB0OwAC4E4AAOpeKBKvFiu5uJtx9uLIhdiKreuAwmxU2Jmx6iXmx8oSWxMhFWx7KK+h6ACdxVqDNxLuM6BoU38RLP2f+bPwnhG3DxBemOjwfBDsIwlw3BQhD/+1nzGxZmODi+AA3EygA+kYQBfWUumaQFAFbyW
elJxsczwxpgIIxN8P3e98PvYzKwguJ2LPedMI5xl7z6mZYMAS2zngYMORYxpAGUA7wBZYV4CBAh6F1ACiDMAiQAQAkgBmAMABZRwaJn+wOIyxoOJcsXI1hBXInzx+gHoghICHABVHhxWEz1xba2RxbPxT+Q4iD2GlTv6YbztAn/1UBEpjxxRrwpOW+J3xe+KrxAazdhBwJmuXCJ/2xN14RD4KfmMa2GWGdx7RHhC5xfIKCxE5RCx41hVsaNH7CGT
knAg+OHxqiLHxB4AnxU+Jnxc+IXxAOKihomILhm6LWe26M4gR+JSe+6N1BGY0rh7WIciRoNKxJoPKxtiIIeHuPVmeeILxReIQAJeOJIEnwrxJp0+hA8O+hjP2jxj/1jxvQKCRgGK1ehcm6cJkA1kxxgoRbvjSGMADkMHAB4AUIGvqx4HeA8QEIAD200AC8Dky5bgU2mqMeR9mKah/R1eRO2PC4pMOMhHARzBbUxZWmczZWmQXbxVqJDhbf0u23eI
OuFYNbxl2gThZQCeA4IH7AMwBCar1HnGQ4EYA+gDYAfSODADLEXx6uOXxmuK6aa+Mkx3iAPAk4CBA4wFShC3SnBsf0Px+KL32fELPxJRglxRUN0gkGEtAzSENAH02iRCoJzxyNySJKRLSJyhi2BzCI2xrCKKRaYJKREM0WyN80rajcD5gQ1B6oABNsJ6ePZW7OMcJtL01oR9y2857E04psMmAkcNfczTBlqNgMlxAyh8JfhICJc+PGAwRMyAYROM
c7HCiJQOJihGbz0RaIKIJ2RKwhBWPIJ5iM2AgAAAJwACps/DpbiW7iGCTejnrPITsgEoSVCWoSNCaQAtCToTyABsEHiUw9/oXHjAYcEiZDmKB2BvIdqcHXZeCLcM78U8N8cUI9L6jIADskGpjwGU5fhovAvFkyxIqKyk38XJdtsbXjwmOYSANuTDgNhR1UZBRi28aY8iwQzCu8VdiPPNiwC7oCIMnGwBkOuCAzPrfk4AI6l94LAD3gM3NwQECB0o
VA8NoRCD4EfgTg/kkk/QDoo0MlT8MiZxtU0dkTcInkSgOsft5sgXctoJxA78eYdTMcjcpSTqVpAGm01sXjCnkWd8tsa0T60eExrgrQoQkgZBPyHc0nOjmdh/EMSHCSATX4YFUVQIihZihAhN1C/1wUd6U86i6A5BG5Dd1KySVYQl4lQFyT1IG+BDEvyTBSXsTooem95PjiiNQbrjTiZZNziULNcIUr1AAC6rgAA8xprbnQzYB5kgsmXQ7f7XQ69H
Uo+NDgQxuozAwNHok+L78WDDKaAHEmGk4PG8E9ADFk/LacQ10GQrYEl6wyq4c/QSGbJQrwMicDHGaSGHX/HUm7fDWaIvHVwYXK8B97bDZn0C4AzTdPg5tPEnNQgknuwiGbEk4zykknviuHJ77uHKklbXbkG0khxZ+HX6p1QSRLTVb5xllUTSbwwgAwgT87xAP1oSMaTF+gHvqpYjFEa4htaoLCTEh/UZFQgGmyxgo1bR/DjbqZLjbEExP4FabEH5
Qqo7LXaeHh8RFAi2MyTY4v/5UTJe6IkoCkgUzQAGdfQl2Y2BoEwl5Fbkz/GWk9qFV+b2HxBe7EmaNnbuvU95s4l0l+YggE0YvnZNDEs6QEhU5Rw1GipOWqyQYO8nNzLoCPk58n0AV8lqgd8mTgT8nxk3Alik8THa4mcHSyaCnGI68ymIw9EUEweFafDSn4/OgnlkoCzPE2YKzkkEDzkxckGYIcArk1Khrk9QE2fEPGq3DrHM/Pc4Aw/sk9vKq6H7
V/JZPajJfxAXoFosVEPrAAH0AGgHYAAzCEgP0DxAZgDKAZcYkDIwBGAcECYUphHtJJonnws0nsI4mEGo1UBGo04FN4g8mV7einAHZ0nUk+mE87N+GOLB8bOgEonf/SLH9oAzBykcEBGAQkBKgb4DpUd4DqIYJBQAJeBSDaSlIQsTGgfCNEh/Q4ALwRIDvAY8CaAfTBykyCkKkucH7I0/HaYwSGJublqp4SKTKHYkFfTKcnSbPqkDUoakjU48Hb3T
bEkU80mmEulYE3ZkG/484F0Uo8kevRin5UjvFDQ5wlhw9ikRwsdE0MbdwOdDJz0AKqkzAGql1Uhqm0TZqkrgNqkvCb8kho38mxQ/8nyU1TGbWJSmHQ0gk7PC4nG4ygkb/KxG1wq6FXovSmVktKb+UqlhBUkKlhUiKkvAKKkxU50F+IwQkOUvsn8bBPGCQlBAAddHH3YCLGo2TGgSQkEARQlamDbZKjggQYCmHCYA8+DQnvAcEC4AdDGj4kqYbk4w
mkUinG7Y4C7lIk8YrXQ8n5fY8kXU08k0kwql0kujGPAhhqL4KownsCqllABACCyarYzAMUz6AEi5DgUgCB9UgDTYtgD6gDqkSvAcFyUsHEh/IEBqgOlQUAdPj1E0QEbI8QE64gxGKkhb7TU6KyAKQmrOgeoS+hO/EP48d6Iku2kO0p2mC0vSF7UwklNlVzHcTfiKw3UWCnU6WnnUvKly0gqlG/G6mgozikPA7ikRMetompd+5LE3dRa0l4A60vWk
G0o2maAE2kwgM2lZ7YTGIQy2kbo62kEE92k7otMmWRMgmZkorFK3Q0Gb/R8zApegm3PfSneIFmls0lUrjATmnPSHml80oEAC0trFaU/gkP/biHug7rE4nQgDb45QACQueivTRkxPIW0hwoCGE+Uzc5WwwbYrQFkLEACYDLUginoAUL7YADQCBAZQYf0F/A1ok3QmEmOmoFDThwIaKQGQTvgYQeqx7OO0CikIzTLZBBBctM5zlQcqBnkhWnzeDaDP
IOYCjJCUhyoBzZK03pTwM9/C2khqzOgQBI8IPZDh6GB54ElukgeEYYkhBZoTUlZR4geiBCADsCobbICOAOoC3oDCSGcMQBqgC4AIAEOQqlTcCX0zhn5KCenOVSjA5yL7bxAYzgxwt+juASoA20VrBgAeIBO0bAAEgVzgFkJUne0vsIIzJCllsIupdwO/E2YpmkUnDgDtgkECDAGABYYyOl0g6Onbkma4LZByonsSQkbQI3LXFVVROJJqAk8DCBlE
2YAbPNOk2Q6Bn4YMAnzeKvwfkCIhBSGYnuGOVI7eK6BeeHtRlBO7EUyfv4PY62gEM2SndUrLGo/L4otKU/Y5o0uE6gz3AXQUUiTaRNzJcNeiZA2yKAAEjHAAAMLNtVQAgAB/BwAAnq4AAXcdQAgABnOwAAnTYAAfdttx8OlKZ5TOqZdTKaZrTPQ8wQBNculNtgScCO+awyvaHRG8RKvA6ZlTNqZDTJaZbTMBJq9J944ACJgWwDgAcADRACSG4AiE
GgAhYCyAmwH1gpYF6ADAEIACAAoAwS0N+Bl3Iw5GD2AFdBEAwRAbqmQDRAzpQcJtzJNp+MAeZJ9CK+faONYslDuZ7zNOA+gCBAFrz8YrzPuZALKeZOxXNYoLP+ZjzNfpRQGhZOQA+ZycFqmCLMbqALIPAe41RZHzJ4s3dKe8WLIBZOLMNx+LMyAzqHOY/TNR4xLP0AGzOuYCBIJAfKhCAW0UpZTwDWAtLLYA9LNiOaWBNpbLJuZ2AD+ZiLIBZrLL
VgSZFmBQRCO+lLKBAFiGRZjIEgIuIDkZPoCZS7GH6w35BcI/BAqgvnllZBIBRAqK3uw6CAGwJyLQalwQ8URzJv4BgC2ZmkAIAWcFAw1OMCwlLORZcSVxAoXzM+NzOjAJAH+MBUFtUrrNOACjIfMHrOIA1c3WAzLJCWwQBpUvrNIwRSHeAPoGi8P41wApyggwPQGL28bLjZ1AG5opyCUaqcFQxGrjwwg+IjAsbLbcvADzZiq2TZzyESAdyhtZvLLe
Z2qGigGLItgnAE4KAA1TgA8BzQDDLQARSGyAQbNOgPCWwARAG9ZPCTzQezJjx6UETgucG6B64CCIxIFYWoOBHZdsDHZTAEDZqiQ7ZllBtZdgEQ6NQBbmeaC5JbAADZeaHnZIbMFAFsEYAXwJ9AZrLacYQGCANQFUgzsGoZScBjRIeCRxUkg1ceIEnA57IPZ3wLSsbMjfABgCeoZ7JrZhsCxB4AF94ezXCAWzMog5ECAAA===
```
%%

View File

@@ -0,0 +1,534 @@
---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
후회없는 인생을 살자 ^kO4r2rXd
사회관계 ^csoOjTS5
개인성장 ^8IoP2x37
가족관계 ^JSeCqMJ4
재정관리 ^0aDavbdq
직장 동료 ^2OkKGgIH
신체건강(식습관) ^x8OOq3E2
배우자 ^dHAjT6s9
추가수입 ^Psxo2LoI
?? ^jyvS6QN3
자기계발(독서) ^DSVMPH01
부모 ^nAsp78Yr
재정 장기 계획 ^rmzapDek
친구 ^Zn8WAgXO
신체건강(운동) ^KnSAQvaR
형제자매 ^JM0ZXl49
월급 ^pvbV37BG
?? ^kBUVU13X
정신건강(상담) ^yKkDUXWG
대출 ^A7P6njdO
커뮤니티 활동 ^Yq2kFFMa
정신건강(명상) ^DTKlX9hN
생활비 ^8Q9Tn1ZM
?? ^4olgXbGk
투자 ^CTSptK5t
?? ^QncgFfjd
재정 단기 계획 ^0MhlEMuw
?? ^2At3WlXX
저축 ^OAF6pcf7
여가할동 ^RQy8Ktr8
취미활동 ^YsciBKKn
음악 ^ckWHwd0z
?? ^w3e8hDa5
?? ^W0MOkENJ
?? ^Q1Yv6wS0
스포츠 ^8Kx5DJrG
?? ^RBukD33T
국내 여행 ^gUwKpZga
?? ^hxI0g8Df
미술 ^S1XC1kuO
?? ^eN2jMbRB
자원봉사 ^Jjdv7NGI
?? ^ypqhJHFZ
?? ^onJtCpc5
?? ^ZfRrWrTj
해외여행 ^or8OKhtn
?? ^YeT5jLbO
개인의 목표 ^oWB6ozos
개인의가치 ^i0rqPg4S
중기 목표 ^uOiktE6G
?? ^bH1NFMmn
?? ^HWaBBq5Z
?? ^nbo3ZTvd
단기 목표 ^pweLH1pQ
?? ^va5rJdaO
?? ^ORDyjnFQ
가치관 정립 ^lzj6m3vZ
장기 목표 ^2lkdIkp2
?? ^hWbqb1RF
?? ^tJBKVcV1
?? ^7AyQMilp
?? ^L5i04Hww
?? ^HpboZ6XH
?? ^DP5BVbkO
?? ^F9wnwEV7
자기계발(자격증) ^ihaPQKTl
개인성장 ^0AAnLDRz
가족관계 ^Nw3IpLkX
재정관리 ^8Y6G8eMb
여가활동 ^xwelmMmK
취미활동 ^3P5QHeib
개인의 가치 ^mTQX4JNc
개인의 목표 ^5561lJQH
자기계발(취미) ^8V2hBLYl
자기계발(개인프로젝트) ^4DQbRj6I
자녀 ^8EjE58CV
사회관계 ^lA18hLaj
?? ^fJ9r8l3y
?? ^NBkLO6oe
?? ^lVmatkUM
?? ^M3i0Mvrv
오타니 쇼헤이 만다라트 ^n0L0NybC
## Embedded Files
7ce9fe647a112d1a11996a16433c934eb1cf3726: https://miro.medium.com/v2/resize:fit:1200/format:webp/1*HP82EMjk6KSIKITu8uM9gQ.png
%%
## Drawing
```compressed-json
N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebQAWbQBGGjoghH0EDihmbgBtcDBQMBLoeHF0QOwojmVg1JLIRhZ2LjQAViT2/lLm1k4AOU4xbiSABgAOAE4eAGZ4gDYknshC
DmIsbghceMkG0sJmABF0qARibgAzAjCViBIt+naAUQBJI4AhQk0AcWyAGQA0gAxMbtADq4IAKgBlfT7SCXQj4fAw2D1CSCDwIiDMKCkNgAawQ4JI6m4fEKAnxRIQaJgGPQWIedwJfkkHHCuTQyypEDYcFw2DUMFGYzGd2sdQqEr5mG4ziSs2SPCmAHZZrM1e14vEJhMkvFZndRWhZhNtO0Ju0eBMFrNDUk1XMJnc8QTiQBhNj4NikLYAYiSCGDwZ
xmiFhOUbPW3t9/okAc0PEuPE0mhxFDJezQPB48TukgQhGU0lGat5jVxCHO5b1DobldK0eEcFexG5qAKjUg4J4UAAVhwAKr4YhHeLPACCR3+bAGAAlgT8jFAEZB9EkeIQAJpThBHADyAoAas8YK9ZvgAIoARxPRwgVIAundLuRMu3uBwhCjWcJ1k5ZhOx/P8+U0ADiGeYJMmyTtu0aYoe3uC4JHwKckgmSR/lwAd10gWBEC2M5MDXKkwAAXxfO4hD
gYhcDOVDUCdHgKwmWYxjVdVZm6PkiA4Qlv1/fA7l9bBiSY658DCQoKJ6JCCPKYisDXO4+laCkxkpKt1MGYYKgmMZdS6BZWLuNYNnlCQdn9czjlOWs0Ck24+QeNCMKwnC8LfZFUXRCpcR9Fk+XdWlSWIclczdGliXpRlAuxf92SAzsm0gAUhRFMVZSrKVGRy0orNQdoxgSDieAWNUln1LSJjVE0xQWS1rVte1HWdc1oo9BA4z9QNQxDJA7gjcSWyE
WMfT6xNk1TdNM2zbgpiauqplW512nmJ11ULYtSzXM1eKrMJHNQOrDXFJUpjuMa2w7fJyIgPtBxHMcJ2nWd5yXFdVIezdtz3A9jzgM8LyvO8HyfRpXz5d9cE/JjQJEvkY2IFKhLAqsIPGqCYKyHJ8mhqtaPoxjy1YzCOK4jVDtKfjBLQRHRLYcSTuchA304KAYUIIwKltDnsmBOHkVNYq7hI/b0EAGoHABi1wAAWsAEZqcXICgoRUrZZcVnEJanIh
lDadAxGyJgcWaKBzAIXWSwNiB9BIYh6juPRslwNYmC/CQnjeT5vj+KAgVBCFoThHE/RLNYCDV0iNflpXJSEKA2AAJXCHmKnxIR2b4t2F12sseW0Hh2lk+S+UIgKqhqaVTaYfoDfaKYCqaWvWiGDgRh5VbZjW9oNXM9ZNmsq0cUOE5glJpybizqs3PQHCPgABWIUtSDVIXZmBAcFihNVN3iS4cSRFE4oC5kLi6sKFqikKYrpfytjP5XhFLNGeTuDL
hVgbLJVqfK7iKxUyotzcS1DqPUBojQNTQIA5UYwHRaS0mqJBho8wXy9JNBM6AgyDTDMNSMY0JrxkDDNNMGY7hZgijmXg+YdolnzsxCsboaxMR4GMdU8QKrWmNHyG67Z4IPXiJgW8C4BiaAWLeDgrx2gDGHAAfX+M4AYRhbwAFkyG/S3LufcR5TznkvDee8j5qIww/AgD2qBGbI0gq/CxwlhqQWghkPG/CewKQOExCAYwpxTg4P8I4ScjD4TKERCQ
EtIaNColDGidEGInRYmxDiBodTcKrHTdGSNUnMwklcKeJdCgKWCQFMJakW6cApEqEpLQ9Ltz5nA9hqo5j90slsXAVoTwj3suPVmU9zIeK8T4vxATD6+RPg/IK58b7dXCpFXgaC74MlPuMp+yUuSjHfoKT+otxhN22L/GU/9uAlTKlpSq1VDK2nqnyUWzgFjtG0HA8YrDWLII4dpUooV0FEMTANXB4F8Eo16pgiASYUykPmpQxay0uJrSLptKmtC9
rcB4kwk6rFG6zDmL3a6bJbouKrII4RojxGSOkXIhRSjVHqOQn9LRgNdGgwMRDYxVZYbw3SUlQCqyGZ2PAg43GcECbRJJnE50CTJhdEgdnAS7K+JZO6dJaepRLic25rzCkroYacyFnbfAosaYEXVhIQAODWAA9xwAjIOAFLx5WlAo6SwgKay12sVJW31lsI2ZxbJ8jNhbdCesbZ22IA7IafJnZRDdqQcxEB55LxXmvXAG8t47z3gfd+pBw4cEjoa9
ADqrXx0TinVgaq0AZ0VZAfiCBc50MlkkQuxcShyXyWXJSEhK55WDTpUpBsMVpQYJ2tuHdmJbWmKtfV9wB5FW2J6FIdkx4IAnqgNmvSth3goISQEUBZHXkuP8Q814xjEFmFAQ8hA4CECEMM4+99MRLLmdMqhbzqTdVGdexKViVnATWXyD+WUeTih/tXNAOyio8CSDWuqJzTLxHaJ0JIV0rlIotFaG0doHTxBYp1SZtJAX9Rwe20oI0owAowYGS4lx
sBTHI+CmZeYCx8iLFW8sPbjpMWmIguq0xsWtj4fdalmiAY6OBnosGhjwlgEJkq0x5jLFVhRjY6T+G+VOIFWgBCJQ3GrA8YSQ88RSA8FIAADQmT2RSIT0BhPIpEko4nIDE1iUxeJFMjJVSWKJNY9NbEY1pnKySuT62lyrOXZS0dKl1wpPaELrd9LcHiJxVUzopg9osoPdAuBPQ8A6bO+di7XKae07pgzRmlUjKvUyG9mHiR3opHM59pXX0yefhyLl
zF1mZS/r+nZbbuBAYpJqS04pyZbnYvmWjVZRbTHuS1FD7UXRzOw983D4Z/mQTm2Z8gHBmCCkCNkKjVDMKlQ1KtRucwjTagRfQtUOzmOjC1GqLhcGqy8LuipjR/1tFAxBvo8GRiokmLhmYhGPL6vYzk4DhT2NHGwXxip6zEBbPzoc+xJzCwXNSvc/Jst3mckKoFlzNO6qcfapFoc8WWaICABG1mWgAx0cAClNqATWAF2BwAIuMAB0OCABaBwACePW
tVqTinNO6dM9QJzp1pEXU23dSbSp5t3Bi62AGoNOJQ2u05BGjxK610bq3TuvdB6j0nrPaHNN/hM3RwkHz2nDPGdC653m5Oqci2oBLa5zklbEUFyLnktTTbTMQFbXsmuVSu2rQi9UgdrDVpgnmOxJpyXJ3xAyw5Hz2OctbEwD8BRygjAcAXsoJIJ5ZFJyOM8H4C8JjPEJJ6C9fkFljLq+82+lXr5HVvjVhKwUgcvyaz279bXmJ/r5J1wDBzoGLGVO
qBYhkxi3PGO0BYUDUDmmashtqaGOoaub91FbwKfl4cgARghxAt8gtmlS0oFDqM0Lo3natjCQrMNGIsUDCW+48Jxdx57vHXt0sEwyr7omYesr/YypA6cofrcqeZ76KaQ54pe7GYoRuqCCHgDiwjtBBKBahLqwWbMqlBw4irkyI7xDOY9ppLgEZJeYsxJ4yR+aNoBbNpmbqwh5dov4dqB79oVDjA8SqgcLR6uTjotKeioEzqJ5Y4uQzweLYCIHIEwi
CEwzFY14vrt715TJXyzLlbzLxSPxJSd5gHNZfobI/p94db+5D5ygKgxalRoaVSrTPJVSjpbJT5L6tSobobr5KFYbEbzYDSLajREZfKrbWAba4BbY/RVjn5UJLTaArQwobSr7bRX4MYHQopMRTATB5irTWg9qPYwEbh8Zvb0qfYibYGIiSYA4QG+7WJNbo4QBYzrAQ7OKCp8i4H2aiqOaEHI7EFubAHkHZKTzJ4soqp465iuGIharCy6rE5lyk6ax
xzIw2pTGxwi5QCy4SAS6eosHS6Wx+py72yOwhqczK7uweJp4Z5Z45554F5F4l5l4V6G7pom52rTE4i4AJx26FrpykCZzO4VrX6jC1qe5FDe4VwIDVCdaMGHIgaMFsGaStRzCTApIHB8HWSegLAJ5dKUGlrwESDXhCCrqEg7gwgDBQD0AqLxCECkA7gcDggLw7j6ZQhV6t6aFqGN6qEb60gMllYd6NY6Hd76G97bL/p/ymEj72jaDj6T7T5ghz7wY
j5cSikLCP4xaEFTA8RSmsmfJTRYI77eGEbLYeFYIkJzTkIqE0ZnY35Mb35oDxApGLCdBFyca0Tv5dgva0oCYfbCZMo/YsolFdGQCyaVGg6QHg78pQ5OmuLkQaZbATCvBsALw8CYBahoF0HQCYE9iWZiZCp2ZkxiptEo6pKdGkFMwUEiEID/EFLoH0HBZeqdqHJT6QlRa5jdwlRP6jpJYTqpYTColzryqiHuKRnRmxnxlqj0klZt6FaPqXwQpN5uG
xQjmMmck2I8mtb2FGEAaoDdYj7igJBJBWEzBIK2Hz7OBoY1pLQKlObKmz6zZ6nb4LZ4I+G6l+HQBraBHBE7aQqRHQrqiwqxGXJVj0Zu4L6jpXbtYYqz4T7wmQBZE8ZVg0r8bvZCaMrfZWZvjekFlvqgEgQBnVFQH1HQ4Znw4tEEFEHO5o6YViQ9ELo9KarZCqp8zDEQDKqCxjF6ok6m7Zrmq5qzE86sX2rsWLHLGGx4yS5VmkAbG+rWzbGBq7FVh
K7hqRrYm4n4mEnEmknkmUnUm0m3HG74C2pbA5pPEvEFqDGO4fEYnlqu70I1oe7UGwGlDlm+7AlVxSW9DVkdB1R1k1LXZQZjCwYOgx5tmehTCdlZaUViFbAABaFAUA14HAlwzwQgaomgQgAAUoSPQD8GqLeEkD8FMCosOfIbVooeORVsadVrORyaUGyNoalC1pst/APsYWucPrwKBu+RBvmNBk/geUqXKaeUqSqZeQ+dgl4beTqdjEfgaafpAGERS
Jfr+T8TyLfkdBaX3raDFlqE6PabilBaUDBXkT/gUR6Uhb9myqhSAajP6WUTUTjEpiGapgCXAbPBAElTCD1KoklfHisLZUmeZqmUUbDjEvhfgRxDmR0dKqdd0d2SWdZfdV9T7sUsJaFh0GqCNs5awfWYOkhhPpdH5fwVOEFZDUuhIM9a9Sou9XlRoeVUVSSCVWoeyXXr6Q1guTVQYfyfVaueubwNqMchVFVJhOcsqV1S1SeUsIqVxP1WoUflqSNQf
lvviAEZtnjK+WgBEVEZ+TEVtD+aUH+fQsinfidBMEaAaEsN3JtY6XdbbLkd/m6Qhf/shX9lJphX6ToVUVdXUcpl2DDk0Vma0URajj6RAGRQTVRbjg7vzMHYTuMR0CxXaoAAA1gAjhNayshzHcXx2J2TGi5bErGCVrGo2iX8W2w7G74QAyUq6RoRVRUxVxUJXJWpXpWZXZW5Wpp3HaWk6p0zG5QGX27vGfFSrfEJHMR/HQ1llJl+7VxgloALCNzuU
DrbkLCTCGTI2a2rCIkpaeiV5CFonFmE3oDbqyITD/D6AfDxDDgLhwivBjD0AwAfATjKDyg+SXr5Wjk4gfLU2TksnTnqGLL03lHvrVV6FLl1W5QNUc36hTDJDTB2ggbmjykzBdWynC3nR9UXkS1XlDWDTaky2oMTVK3UIo2QDa1mlJGaT2iNyVR2mv5cZPahnQWW2unwV/5/WAEO1lFO0YWXXYXu13XqaYnoBjC4BHC4D0CaDEC3iJlw0pkRJ/Ve0
LVA1I65m0z5keZkEY5Fm9FUGUT+aw1FIMEI0aQT1z3T3sHI2T3Wj1g41ImPgb1dnonb2eL8OCPCOiP33V4U3f0v3MkPq4gt5lXf2VVcl/1Vg97LkCn7JCmoBTA2jaDI0pH2gwZTAxaePXJHk9Ui1nni1qk9SoNS1/J3ljVXly3rYK3bZGlv0q0fnrRwpxFzX9261LUnS3beXDYNym1UPm27VW30OFGekSb22lHKM/3oX+2u3BnwSe0A14HZm+15l
g1KOFnkXZb9HUVGVh2LNQAR3MXp12qAA144AKgTcsgANZ3c46USC7MHN8WZ0CXGw53NwiU+r53y5OWQAl2HFbC7372H3H2n36Dn2X3X3xC32aURwt3cWnOHO26GUO5O693mXVqD0aM0FaNbCj2PO9qB7cBVQ7K6QcBQloBVR5jjCEEtkr2TrPD402Mp4SBhVJyyL4DODYAwAUATA1ikALyeiaCYAnjgi3hTiBLON02FVePKFv2eMv38tjk/1VWfq
BO8nBNs2ClVhFSgPgMxNQN2hWmJMIaOFTar4zYoODXZOYxLZ5ODXYMlMX54NSDzUMLmlxIzDigG0gUtPZEW1f50O/5dNHVem9P+2sNDMcO3XkTcOPVJzXgwATDrqkAdmfUmbaPRxYHdM2bjPNGyMg3EX+2B3omlmAlBYhGo2I2oDOh0VYs4vMQnYzDqiJbEupY/Bktb0UvoAhthsRtRuyEP2uMCvuM00ZNivLKStvz/21XtYhNdZNURNxDRMoZxM
JPz7jBNRIZOHTYYYZOS03k5OjWEIamPny1BGK1mvhFQqHYVPfmmlIqAXLWgZGgT6GSSoPZv6tPOmwX5HumIXpnHVAHg0M3A4XX9PDM3WjN4UTM+3tFpsfsB2Y5qMYkMUh20UE5MUTEBak6AA3ozHYAAargAm81HNIeocYfR352rEB550XMF2SVF3POq7hXUu0v0uMvMusvsucvcu8tfpG5AvHPoDIfof6X5pd3cBQvTN93/mWV1rws2UxtIsOWgm
6NlJoAG0WvFvo2NwcJLTKn3YInNJIkLi1sQe2MajYCXAwjYATBQgcBJULizBhVjCYCEhQiyILD/BwDk1f0dsN5dsf09taH+NSulBBOAOlCD6NVhNKuYQqtKhquwPSnFSRMROdDDqVS3ZLsf0rvDVruYMmugqGl8jTW5izVa1WtOg2ssawY2jylghOvbU5GutwXuuHWvtesnWzNoXnXO2YW/vQHldBseI7jMDCgfCAiAhcDRuFI5uiaURSNJve2EX
Ad+2gcZvFlZu0HiOVksH5tJKGPRaDb6g3tqex6pavBacUV9G9kSBdc9d9cDetsuNOfiudvCulWP1zkVWM1d7M18n95APs2juRMTuxNP7TsRemSlTRfBdLRILsR0Uv1JfoPS2+GbsFPPm7uZcqFlOHtfka0nuJF61MSz62hdDxNL0QCQUf40OVdPs22MMoUNdnUg7sNBl/sNFEzjcyOTNTfTMkVlGzfafB00X47h1wdR2bNbCAAXs4AB/dgAOms4e
cVscQAi/i/nPiVZ1XMEd3NEcPOkf7GyUeK6f6eGfGemfmeWfWe2f2eAsZrAt2oy8S8d3cdvG8cmVfEwu/FWUicw1ictoSf+7j3hOYRrfK2Sm9xKiVvqer2Aj7cLNHfoALAhC3iSDPAniAgTALzODX07gwBsBZAfCehJyOe17OdCvUZ3ftvit+NM0Dss1vd+fANNUgZgYXYVSQYdWwbz7QZxBA+xeg8JdU2Q+/KGu5MbtArH5gp7szUWsEOMZEMdB
zBz1QYGhldE87W0NVcHUvsAEU9VG+ugetc4XUOifh/8jggfALBsBGBsC5CDd2U/WSMJv/XCrJvM/yNlqKNVEc8HfqMNqidDcYFLd5t6OnQcZSfYvo1HkSodWqp2XpB9J0/wUPiFV35sB9+h/Y/qfwu7ucmSrnKmsgPnLPdS+r3FcvK0KgUhe4UTJ5B1CtKIIdQ8+AHqKQ6pt94u4PW+F3yLr74YeQKOHkU1zZTUVCSoOIKqHSJIJy2E+U7PEX/K1
N3k57TCNuV5om0KGDpe9p/hdKL9n2ttN9sw36br9KeYOWoiM3p44FGeDCFNlMwUYzMn+4HF/pBwGKh06KUHdZvB1sqk5TUgADXHUAgASq7AAOiuYduK9gpwa4Nw5Ed8OUuZXvL3QCq9Fc6vUuh4kj64Bo+sfePon2T6p90+mfE3vcV0omoHBLgrjq8SMp8cDBAnCynCzf4u8P+lQd3mPX/5igKk//EthxFMi2hNQgfHbp6EbquROk1jOtqFQkAJU
Fw4IOAOCH0CYBdYCANULIlkQUA4AswTQBQB3DYBs+Cha7i51u600fGArYvpgOlYAMh2crUJgqzMIikxS4oCUsg1GyHIouVA1aHFzB4DVN2aDbvvhiNZ99iE6XSahACy64N0e1rcfsxASw8QwQOoTIne2dbtM3WS/RQXV3fZqDP2gzDfv62yIdctghAMYKQFvA554gMIMRrGzIi/Ur+0jXQXf1Bps9+mz/NmPN0Raf82BqLfNikU8bycPKC1ZzMjX
97mNV6h4KAYdwjISA4RCIpESiL5aLDZhefe9AXyu69tPO/bVYYO0MLDsTCWwkfFuEtA810i+oUDLclVKlBRYFA1vqcPb60DN8WTVdj33XaH58mT5VgTgy3A1o2Eh2A2sjVNE9pR+GPOpvZhiyVRTGPBW9pQ3+EL9SeDDK/kwz6YcomubDH9lCK0GJsb+E3YGvoIf6GDSKxgsPiMSWbmDYOOqDZgh3cEpCY6gADTm3BdqewRmLl6uoFeHqJXjLhV6
F1ghLsDXlsA6FdCehfQ4IIMOGGjDxhkwxIWb2SF2Dcx4LHjsWjt7Qs8ueQzRq7yKEgkPepQs0KkR97MQ6otQqcXUP8oLxmRPZVkegD8D4BkcmgYEGFVkQngS8cAQkMCACRddXgwIaYQVV5ETl8+Cw+7pTQlbCjdCoosvjgM2F4DLSswJqNuTgTsRtQOPNyhF0XzzttWLhC4f3wNY3De+BotLifhwYmlBBFlRaiIJOjI5Fg2oRuKAIJ5/DyuLrOQZ
6I9a1cem9XNfhUWa408NBdPOfi72JEVk2Bu/TABQCCD6AVE+gEPvG09baDQxTPCmEV24IgcwRYHVRiYKJGDjkyX/G5vmzzDKiRJkWakcxGRwQJuIqE1svwQXjtIrGwVFkTwwgA0S6JDEkPtyKvFuM5hF47tjyKFEl97x2AiUQFylGoArSYDZ0B+NtJLA2E+PewnO0mwr5AJerS4SBL3y3DwJlw0jORkoxD9laB7aIpU3x62iAK7w2DF0GgyTAzIU
gramRMwmPt9qCg8nt61A6qCXaQY3Co0R0EI4HQETJTtxKMF8TYx9FMwTB155JjrBBqbish1l5J0uKdqRqZbxsEZ0AhxdbOkWM2JdSghTsEIS8wkAri1xG4rcTuL3EHjmAR4lsVLzanpCIW3dUyjnD7FO98hw9H3MiyLpYtoszTCoYAJAzKktQS0cCmOnAGpYuRTQzLEHTaHoAJgw4WYEnA+BQgfgBAf4AsCSoDgPgAwFPvqDCrggTxT9W9KgMFZs
ljJHnUyd5xla+dIA/nDms4DmBgMJ8Mk1DFqCtLe9fxiGNyc4TXxAScMyXPUal1h5Gid2xTRHsKxy74M8ucEgQOe394Nxbsvwt0RhIBHyCye3o1fo7UIkBj7EtPNrmRJhESAeAh4NdD8GUCvBNOZ/b6hI3rRjc2J2IoDvfwDqP9ox5U3zM702loiA8+bI0JSL7SACbQTMoyFtzAH1C6SKk26bvxFliyJZUspARDJQHzCjJekpYU925IvdZW73XAZA
AARiDCBMkmLA3FYi3INWv6Vycvlxm6tl2OowmaBP1Gy1SZL5YKX3gtCTBxQ3ldiDPkWCoTIpwgumXEnmDagjQCWUdIT234VcsJaUjmSxOKKZSeJ2UlrrlI9oAdb+Ss3EemxjHQC4x0HHnqsysH88UxdqQAIOTFqVAGh0AAzHVmK2Cjzx5U87wV1N8HCVCO/U0sYNPLGhDIyj056a9PemfTvpv0sNhMABlzTScs8yeYtK7HGUe6/HB3u7mE4bTs2b
vYcSUOW4/8rQPaKkQOibJ6yBBM8Ktp6GHALiMSj1ViGFShALxAQMIMKmwEkBHBM8PwBcCokJD4B2g/wGtrpML7P0DJ/Iy8VgshkrDoZaw8URsJHZhNEZ3cbQCjLAqGh0ZCWOikk3gbylUmSDcSWDPVLATdR8c4mcwKTkI9QixpKmZa37r5d3h3AhuIpzLnoTkpbM7CTVxX71yCJX7IiYGP5lb8uG4ZdSZgAmCHhDwt4WYM8HSzSzFu6Iy/rXOv6Z
l2Jk3ZWSQR4kEiNZj8hbtrM969wzpX8ioOqBmBoyiWF0z0MpOunCFOed0jSTor0UGKjFDs12WeOKrOy3OjsjAR7KwFeyK+H3chTRlrR2gDQB2eJmCAYVmEhazCxBmLQOGJdY5UPFLkwOIh8LyZAit+j5WSAlyK2Xi1InRTzlnt6mpDWKeFkSlm0H2e1a2l6PMU+ifWPMv1mos4ZjMFZhUuRh3Jm5dy1JUHbnkMUTFE5B5HUu1IAAOhwAC0zgAFxr
AAqDUAAKQALtDgAVqG5YAASmnkSBtl+y45WcsuULz8xlzQsX4OLGrySOZYsNJvOFlqhwFkC6BbAvgVGBEFyC1BegtPncUblhy05Rcsvk29uxN87IXfIHrrSBxhQ+yi/JRa7SJ6NoCcV0CnymQuIhBBkZOkBmWzyWwSigBwCOCegBwzABYNeChCXABghIE8P8BPDUkKAkgD4CmkiX4KnZhkuJVEpMmEL0oMM9Yd7KfG+zosr45IHPXNCgJvxeSmUm
AwQai1zybCiHmUuuE+SwJic7dsnIpnmtXhoizHuCRgZByzp5ctph6OrmDLcJdc/CdzOUW8zeU4ygNmGQeoeJiAC4KcMgQWDMBAqxi7WcxIdUWLAaOI0qWrPmYOK0V5/HRm/Ok6oAlgbC9xaMFAwVgQMOofHgpKRL6ZgFtjH1X6qhABqg1fKwUSDNiVoD4lj3X+l5zFXELWakqshVZJgyREOI5oVxYUotZJMClvVYpZqroHaqGBvk/VYUzJmkjnhz
oKhRIqWhwJyYeoEfla3znVg4ksWeJj5WZnSD3RJPO1ThIUVOqWGoyyEe6v/b5SplBFcMSzwMF4i5mVsnuUst4AWDRitUtZfVLtSAAGHsAANYzbkl6k5v1v6oeXhx6mvK+pTy4jgrnXlfLhp6AKlTSrpUMqmVLKtlRyp3BcqeVEKz9T+rhWZCext8taQ/LjUj1ihWKlygWzIEHSpJpo06WLVnH8EwqBa+thAGeDxBDwCAEEAuEBAfAYQKiZgGqEem
4AwqMAW8JgAY2YKK1Aq3BS7P5UJKAmRCsUU2pSU+yNJ6apUAkGhRcR5SDcEpZAEYWqru1aTHTewsyb6suFuqhOYaINX8Kz8gipdSItpmrr7MFUWDLuTYSz8K5KU/pZ03kV21D1Kg49TxM36cNA2mix6gvGYCYA2APAOcHt2DXDdQ1kyyxYrOsWzK7F8y1/kRpMU6yf+zofWWjSo3QZJ6sU3yrwV8W4BGNwS8LZFui1sBYt5anPtEtfqCrq1wqghY
krMnJK4ZlfMJhmrVD3Ju4KRcYLBnzDOT8lx5AzawvxmeFylRMypaEmqWTqkeoUtWuFNeErqgKzVW0NMEnoObrVfSjptV2X6+bQRSiiEYFubl5BEtEa9uVGvZ7pbTB8Y6qf3L55iwBeEgQACmzMdQABhDgAUPGrl6AT7b9rzHi4QNy8/weBoGl7EN5MG5jaxvY3AhON3G3jfxtmCCbhNomzDVsEB1/bOx8K6+StJdwEaBJ6K7adlqTWpE5OBsqjSk
XNCKdQMJK1LI8NHiBKTBtjfTAMBUQDg2wh4fAMOAGCEApg+gQ8MCHiD0Ak4AwIQEyPE0NbsFfIqrHgok2yb61/IcVSQubWSjnxg6NTUqU8VaaImbC0WH+JxmLstR7hUzXHPM08KqlVmmpTZspl2bBODmjbe+M1AG1Og+PPbbINSkDL91x25QX6Op6qKSJAsiuULMNiEhwQC4CgMQDGBMc4C8auNhiPMVYjplqbabmlvVkKpidCe0kdioLb6g8VWk
PUIVoSwM7PQ4rZnZvSCW79xIke6PbHqBkPcqaHjAUTLra1yaG1Cm8vl1tSVWStw3lWtOkTgQYo5625Gdg4X/HuS8ZnkzhRbuqKjrLN46w1bUpmR6gyoFo0yJVEmDWk1t7S+zMjk1CP4fxro7dazNtU+6fNSg30Y10D18zg96iq7YBxS23b8R92nHI+pWZKoX1qy17UPK2CAAZccACio/9ogBAHgdbqUHesXB3+o15UO6DeRwkDs7Od3O3nfzsF3C
7Rd4uyXZjokBgHcduGxFZGJyGwtUVCLQSaTs96Nwi2VOmevEyxpahJB/83xUXUr0tDq9S4iAOtigD4AF4UwZwLMEyo8A2AMIJOH4oQBCBiAJ4IctLpmGy7zxUmoVTJtrV9s7x8mh8RZI5qgZtdGmk8tpoN1HCW+JwkHjQKm2akzN8+vVYvvh6272B9uk1U7uWpPIjIwNLUO5ptW7qL9R2q/SMpdVjL79wWz1chEeoUBZgCALCAIxkLx6ZZiesxWG
pT2XqZlL+u9ZmyHpPzKJZOg2NaFQlpqkaMwJ0DxB8X1DeVM8ZoapMXHqSQjYRuBa0kb3XibuzW4zegOUO3jFyXex8S2s13WjRSRU2jScgSmHCJ6rCSgTFw1EmGZ9BMmbdwrm3+El91m2w9Rj61sI56ewisNA2dC76xFzyEqCVA93SKPNsivdZfpBH+6b937O/ddRD2XbW5YYxI+nrKkxqFlVUvuV/sYqvrf96yrYAAH5PjIB74+AYLFCUoDbyiHb
AekpDSED6ALgzwb4MCGtwwh0QyeHEOSHpDzHZulLz+P4HIWeGpFUTtSNOLxOmKnaWRpp0TiQMI2hJnAjL17ByVrQ3fkYFIBHBLgMAfTICHbBvSFwzgf4GMHj5GBIt84mQ6eLkMxKGjorGtZ+xUOtH1DpCjXdKpfFvj5Vn45DHzSb7HCRjxh84eMem06qLDFmh8iwInVQShFkU01faOuzagNQF7LdUlP2Pn7vNXh449fqp5nG3V/hj1YhFC0eJJdh
AQkFAGeALAMFminPSNzTKP625z+u49GshrZ7ojue4k0ZpyML5WM7ENamXsIAVbd+Xpn036YDMso5CSh5vaDNFOta30Epz2bDN2S97NdVpRIP3vNA1D4shofQ4McB5GGzhHfYzfQIwbTGt2sxmw08I4GTAJsGcjiWCBzkbGzVPIHHlPm8qcQ3D+2wEelM5mKLnVZ2nKaeuDHhqn9V6mxarLu2Z7yjiy5Zs+teM/7R0YSCQIAERJwAAx1ngkA9edvO
PKQdivUDWJRBMfKoNBxCExAHpOMnmTrJ4gOyc5PcmJgvJmMjgfQD3m0hmJ5afb1xOay0jGKxykSbRa/okEhezaMp1nOlb6h3kAJVXtZ1MbsAnofTBhA+BQAxgPwOAPoGcD0B8AwIWrbMAXj/BjxAp4GZJvl3SbFdzRqGZ3qlPq7LJmuihcjLtA0KTsGM5VZF0MNqm2zpujhRMe1OMD7yJMm3YtrsMwTCGE55iK+O3Lbli9c5r3V5sO3Ai8JJ2lc/
6L8MXH1FIWr1VsE0ALgkgAwYEAxPO5RGstCW641Yu3Opb7jUZvExRKEmxmULK1VNTQYMjpy7QbCOjUiXwDpmODdlhy05f0AuWisbbLiwWarWNGxTN4niyrsbXd6Kzymv2WhkLjzAwKSpXUEXB7XcA1RrZzUaYevJz7FLxrZS72dUsLH7kc6lY6FzIbjnTTuLIyEbUXr6XieVczw8ZcdWmWj1vhk9a6bPUM8L1eg69ZGNvWyp9zD23ucspqmnno6X
xn481PRN7XNmwG582DuBMwH3zcBz85GiIskWkgZFii1RZot0WGLTFli6ia0oHWcNWJwgyrMJ0iL+xZBknSRuQu6zSulGgdHPRFrTAorq9eEDSfYPqSPg7EIQAsCnDEAFgMIPMAnx3BJBSAPwH4MwHaC4XczqVtvexanItb8z2V0VblbaMaGq+LVcDHX3apxMDySoWBPAiIEvJUEmpsw41YX16mFthph3bBIK7osrS5odiFih6UyCRr3uu0+Nfopc
yprq5pueubynzWktqeiMb9ZWuZI1r0ZracDYyPRY0L4N9ghxAJU2h+j23fyqSNYNlGQFHiBeGwDGCvAkg44SQD4mIBGAkqmAXg2MD8BwBRQrFpvcZpb0K6ybSukUWofMnSmBLsp1AIeR2FVRxSnQSUmzd6wPIEENhFBCKyHXm7Jjlu7s/qeX127jV6lsfppa3CmRgaUilmTIttNGWMpfmgPc6cxgXbrLQRjxAOBgD0AYQDKgYLMFRHxak9cRgqQk
bT2s9O5Btvy4JPhqJqDYUGNxaFZ6wVg4EtyeSQAvPTw2CLwS3u/3cHvD3Q7dRnBRxcUNpXqb7W2O51oKtSqVN0CV8XchtB6hxQMTaJq4Yi43I7k2drmxWFeT1WrhI6yw4LZUtQTFjnVqfKsbtDrHK7do+CfZitCfCceVp3pQZYO1AiW7k1/zdNfO3q2W556rW5PZ1u2KfLFKl4xtafUrLI67x99btd+OHWgNPgyA7nWgMSVINl1isRIBdtu2PbRw
L2+sF9v+3G4QdkO+9dY6k4MTA+TunjqyFEHkVQnQ20CUJMm2Ogwec26ME6BWhzRETMvfQFivqSBwRgYEGyqOCgZZE8QBcISB5hJUeA0fCYHACSq1H9Jcuim5leLPR3VDvFuO/xYRmj5RSqdvYenaM3XJp8zUNhKwhIapEhFWqwuwpYFstXrDbV+9EaZpli2ZOFYZUqqFuTDX5+HhhW1g5ONOmVF5xt2m6Z34cGjgMIE8CogXgLhvKI9kkcGfllEP
FrO5qMXuYeMZbAbQZlxTPw0c8gnQnENhAUbL1308LbBve7vyqc1O6nDTk+y4/kPn3Kbl95Ydfe8e334ZTVQ8rKsNpcQUME+CJtaAPJWhlQ2ju1lE+gkxy4nwD3U4k+NEpztyFoLxSOgrZWEIpy6vfYcmMivjfnuTyufLebtLnW7pxkpy6cssTKPLyWry0kdWtdP1rH+482sxe1nnScHOK8wrEAA4PQcsACjzYABxBh5X+u4rousXuLgl/8eeWAnW
HZ19hyizI6RojHJjvxOY8sfWPfbdjyQA46cdN0PraLjF9i/xeEureGQ76wTuIOO9CNPT4jSo897I5sjq93MOzfy4lamD9QuPQcFKP3r1JO4fALgAWDghDwYwS4ISB4ACF/g4IS4FAHaCHBAFzj3Pks7cdFmqbazjvbTb4tKb77wGRm7X2Rws3OqX9sJ+c8ifdxonFrWJ15PMNNW7h82sBynKue5d7N6TrXVjXzDHOZbO60awU+BfYO27YLju/g40
U2WJAHAKcBtluw7hrm/li/nLMxET22n3lyMykfgv4mmnsrz/RJNDx8xFRJkK0DmqraWMJnjt2xiW7LcTAK3drxrRHc4tR3uLNNnzhKo9cdHE73AmdRBiyddBkaJz9iOE4uchv43nfYdV2aUu8LY3RqqhGvsaUqst9EDEW5LHW3nsGDuoKqKXvTdn78nQLoZcrZweq3iJEL26qGZuNT2b1M9+F+/qPPUPkxHxiQIAADewABVdIBuDxS+6knWgTYG8
6xw7BPQ6vzOrvVwa6NcmuzXFrq1za6AU8uJH3FRD9Bdt4/WzKcFxxf5YoOjiC2m7gZ8VFoVFaGdZjgx49WzyCBrAQgWYNcCTgwh7LmAV4EnCLi4A3rJNy7jO/SsinvGHj2d+s7dc+PF3Mph+7/zAbBdIG3Vq0nYQVCBvDIu7ikTE4LsRv+bID+5wabjepPE37wrylYW7i7GG7Np995g+zdFPa1P7oPX++hEemkW+gIwLgDgAnBBIcWpp+5cIfXas
5xUjaLC/1vwulHw3T3tqFHQJmlQGLZz40mwttkjgESkozdPIccHSAQXkL2F4ndCmmtChlZ3J6vuuv53au9Twnc0/P5tAGKGJl0FtBxZUJ1yU5zu+Demew35n2fUXZ1NW6Y3rVk0ZVEIHDm8wwzh0J4zaXvDqYBoZMy59P2N33Pi5z98uZVvmWZrfnjc/EaBqcT4vEZzp1q8PMJitrND1FyCx2aoALUN5hWIAFi1kA7sye8vf3vj5iAyh+pdofaXa
vLD5Gl49sB+Pgn3AMJ9E/ifJP0n7zix1N5S9Pvz31AG96+swXex/10g+/zsqMfF73AWTnipKhkMHWnHj6oO61dhbNAGQI4BQEwBjB9MRkKEIeHBCaB0FygZwJIBRILP7Xwpmr+4+dfuyGvquxTT3sKuE/xsOn0yHp90df32b/Wx5Igm5v53tRNzo981ZPdTfbPt7qu31eYgVROgSwWFP8880YOdvYa4ZVlIC1rnZr7XALxIHBBjAVEos54AMG5eB
mYzzT2twtYSRnfR0pDxt3NznvoqF73/JNWLTxUT4Bsm9zj5EY1dFfaTHBp3y78JBu+PfMnpo/J4F9OvVnwv5XY17F932l3rXuqFQrQx2g9sqoWfD2lCc/3Obyv/+zzeucWexvUbvyVr6SfgOOryxqB91dgfVMhBXzy0laEr8HZTfBxsa4U8dPeeDveDu3xrdYmtO/fcXgP7udf1rWwPN357W8fu92opHMmZOvv8YfrLjrLy064D4kCQ7MP8ByNAv
Bp/6A6fDPpn/EBZ9s+OfXPnn+I6R+SOT/cMmRwQZiuCjgDa4+0rkhaqO4TO25kikkjPQbQdBlaQOauailhHAX/oV4s6FUo9SyIswAOA7gO4AvCXAnoMwBJUjEteBqgzwM4BJwswCeBQgpIkfCyeshpWoKeT6FlYuuBfqL75WWzoFxS+EDDL7QM+nvPjmgNaK7r6gmoNqDTATuiN7yWtzhN4zGXfjr72GSbkgjByMwGm4n61pu4aZuH7pb5fuubq6
r5uC/qHoO+6ANeBJAO4PQALAFADCBjAjTukZRemtjF5FSOoNLbT2cyrPbNuVbgmrh+mRlxBR+RvtaDQYnHi2xoB+FhgFq4pgeYGWB1gbz6TuhZop5C+dajHYbO5ZpwFWSKRH1rykmENVBaQ+urX7RYVpO16S27EKAjiBTGJIFam0gSXZC2cbhA69+lUP35Lenzu8IA81fEhIT+Tdh567eILsU56B6gkd6L+IYsv4cScXvjyB+l3sV6VSj2s8Y9yA
8rQ4BW9Dvta/+SHkvKoer5uh50u4JpGhYBOAXgEEBRASQFkBFAVQE0B4FhAAH+fnAAGiusFtj6SuoAUbYyuTHtsiYsCrgb4z4VMDl6queXmWrBBkzqEFbAq4sQA8AQgMY76AzAJOCkA71CJpTA+mPQDggpLNEFVeU7hfZ1erAYkGqemzt1pWS1fK1TM2UGKzZYyQgYUGiBSDhIFq+rfvE5Wenfg85nuw/AoHRSFUJxCGQn4m0HbeNctoF7e37nP6
2+fQYYFFu6AJ0K4AHwB8C3g7QGJqe+blmPYAenlrcYuBGekl4h+vTkx548pJmAg8QaXpx540u9r8ESA/IYKHChooZn5ZW9Rjn5xBefgkFeOaIckEYhmuvAjteeYIb4oSa3gEERcuoGAzCBRQWIEVsgDt5LjelQae4r696DUEZydQWsYNBNTMP7SSNdqkSxSzIZoEdBbIV0Gz+t+uC5lOc1kv4OB0ocB6uBoHlzzget3pB50OEgGcG+kR/vMFHWzD
v943MK8m+YYepQPS4eI/wYCHAhoIc8Dgh8QJCHQhsIScFFh2wBcGY++GtcHJez8uAGe84wHL6L2JbL3AVg60E6EfBLSDSrceHiLUBJwUABST0AzAPpj4AsfMgT/AUIM4DDgcAICD8m9WgwHk279LV4nhnjpKZqe4vp67bCY+IE5T4wTk2aJmBIfqDuhxIaUGkho3uSF3OlITZ7Uh2XLr4LUSbk6Aag+YN16oOstnk6xhFvgeo5uoLj0GBkBgYW7d
2WwBwAQQ5nFCD0AY5B4ExGNbsnp1ukahd4b+coe4Hz2ngR24GwBLJTr5aM9OtQnI0Ybl5zhA7t8FDuTGuhFsAmEdhGVejAcaHMBSnuKYtGZZgu43hJfgAhP2soq/ZsIMDhLajalpPkFuhRISUFehkbgk5/hZdvMYBhPfkGHQOPVnA5RS1dpPjqgYIFhZqBaDnLaGWcYXBFee4IpyFq2yEZKHQuGYctYgeV3k8abWO/ttZva6AN2Eqwn1r94Am1zK
ixVhawcD63+i4coDLhq4euGbhJ4NuG7h+4YeFdhf/j2HW8gAVcGCcIAQUJ4+xtp7w2keKobSGg0/H24XSReAuFbA7QI4DWg+mJoD6Y4IJnglQA4GFT0Ae4dgDIKPEaeGq+4MgJH1ebAXlbtGGnkVCXscqh+KKqa3nJFJ2Cvr/aN+edipGWev4fcKQS8gfpEmmCDqMCHY0GHVAbe6gfObsy9qtZEz+tkUmH6B3IShEtu6RoNyPUY7v6ZMsaiN74ER
vvkME6gpkAl4Q0TbvR7kRwktAFJqsGNQa0R7BLPjcENpDDbbAReP4qsRVPh4jXRPwLdGPCdAVn7h2sQfxHxBpZkkqWhlZonY2Ss3p2o12o4RNHf2ivjnZ7ks0bzYNWbfmpEkYZGBRhfB5dvuzvkKPOrTwo+kfe4ioPENuQFG20eZHQRgLlZF+6h0QMx2Rv7imHHehEU9GLAnjKMEkRbkZMEeRFDjMF7+WwKCwfeezGCxlhi8iw6VhbDlf6gmtYRs
EeIlUYQDVRtUfVFGAjUc1GtR7UWR4/+D3mcxUeCKkAF0emWso7DhTHjqB5adcCWzAIsGPPT06TEdZBHA9shDHjBj1MjgkAGVJCD0A+9NeALwPwCeCSA3Js4D4AZKseGCmvEcs6C+poajEda6MRL7QISMlQoiWWcmJb0KmdhzZK+udgA6kxQDhr7RusgVSH+hNIStEOGJ0AlgxYnAhCSvuW3jBGshB0T4Y+epTpoKCyRgRABhUHABMDggU4MoD6YU
umKEhqEoVC7a2S1rrauR70U7EpersZSasenAhwhKgSwCDH8MdWkHFJ+6kqPHjxk8dPEdRGTIiHnhqcSWZCRaMSJHF+g0QqBdAx5ASoU6/vBvb4xtyITF/2JMS37fhFQce7W62vgBHWSFoJe6QM17jvrMx4YbaBT4HCBaYxhPMbBF8xfcYLG+ewsf0GbmYZjC7ERyRsfHXeT2nLEouO1hICAAOnOAANrUgGVCUsEaxwUVrGBCOsU8x6xWwKHHEA4c
eCCRx/wNHGxx8cYCCJxycYEyI+SQhQnUJdsfjoZRuQjj7ZRYAZJwE++jDREexgAqYxFRNoGdJIBoMTpKU+wcR4hJASxHABGAmgKuILwMIFODDgRgEIDYAJ4DuD/AmAB8DheKcWxZXxSMd1Eox98dnGPxKQYJb5x1CkXF0KmMgMZJ2RnhE5T4e7mZ5fhUgTXEd+ICXIFgJ+7sIqO6IEa7qaaqgc2B7GGgSgk9xaCdb64OXIVgk8hqERID9cZideD0
AUPjYFzBdgWmFbmzkcvFZhvlmRGh+FEd9EGw0+HirqgG0P/YrqmifwyQCmod3LqSJSVOBlJFSfCFpxjriaHIh+fqiGF+HAVaGJ2iMjKKGgmSqBjV+rGGHJJ2/XkG5hJQ3nNHkxFIbEn1xtMaMAT4opEjIRMbzkzGD+OtOGGio6oA0xWqGSbtFyK9piZY2RAscdG9BBSVcbRetSUB4uRDSeMFEJUwRMHIuu/mQnoAUKgcqAALWNocQrhVQlh1yrsq
HKcKQinvqZ/lS6axNLtrEXWN/ldZ6JBiUYkmJZiRYlWJNiXYkOJJwdClopGPtR4OxA4fKFyJI4gokFsK6hl7Q2mEFxCFGeXo0JHxCNo9TWc+gPgD6YEwKQAcAnoAMBTg/wJcADgmgK8BqgRYLgDOAl8R/TXxGcdMlmhV4eiEYxmnsNEu6ipkqoHkISSZ6hu+yT+EyBPZnEkNxgEbSGaWvcFnL969dpt5ue3cftE5JDcjb72Rp0V3bBKSVCohjAYV
BuFWklSdW6jcPvoMHhmMoWQ7B+TSQqGspF2Cvb/RpttqBOghkBon9uM8fylTOHBv6mBpwaTTGIgeZpfZGh6cbn6apWcTfY5xt4ZaSrQ2MRkTOa0kVu5nOxnoN5mpVcd6Ht+Y6taknJIUvTFhSx7LAnvCNoFpCvirCE8muemSZZGoJ3hrkn9xyYYPEEO9gf8kkO6/gQkI2IKbLHTBpCd5EQAgAKhrgADgTHOIAAnnSAaHpJ6XQkVhDCTilMJeKbrE
g+mmFCDCpoqeKmSp0qbKnypiqSEAqpVsaInoA56aekSJcjr9biu98oOFDiLsaylMhW8XMBFy2mpx5Hh2aVqG8MKiBQAqIzgAPZTAC4DADPAgIJIBqgnoFCDMAsiGqCYAcMcWl1epaZMnIxmcR4lVpXiQsmaeWhsqA66mmlBj66xqZ0ADeuye2kAJUSdDzAJk3j2maRjcTckaW+voaDQYDBvuSdxrqVknups6Z6l5J3qT8m+pu/HABCMJ4FqAfAOZ
shBBm1SQMHphOZBLFrpcLo0kfRzSV9F56k+BOLxc2aiq622c4deDlREgBpmaAWmWqA6Zqqdn5lpUyReHKeIvv1H02PWqwhCcQ+pqD0hY+l/bbJraTxkJJ4boAnRJ3acckiZlpBAkDaV7hdg3uvVmtHARuoBFkvuZkVBEAu06dkmKZp2hgkDxpEkuk1JuCXIwmZHTlLHAp7kVQ55hdUnMESAgACtjgAJB1IBj1mXp5/isH3MzCcXSsJEgM75oZGGZ
PTYZuGfhmEZxGaRmPCYcLy7cU/WUBnYm8jo7FSudwZBleBi0KZFeBnsVqANIykX7HIBV0khmDJj1EYALgC4ElSegrwOCCzANyEICAg5gR8AAWlwCnAfA3mYjEZW5af5mCROVnMkDRLXkVDMZ6mmtC6GHGfL5Z2DfhXHN+pSur4CZmvkcn/hNqS8JNxSbrPh2gk4VUzpJk6S8mHGbyRNYfJjckLGLpZ0bvzhsmAO0BHASVHjahpssuGkPRkaduYNZ
etm9GxpFmfGl7ZMnJVATiUGOOm5aJUTtxHAFsjonHxV0YCC059OYznjJnUa3qA5vUbMnsBoOZobBcDSukTbk1fjEycZv8TNGVxfGeUFJZVhiln9mb9NOqb2pwvOr/2BtDlkFyWPLqAbQWkJ0DIJpWQpkOm6CV8lIRp0Y5GLxL0fglmZzWTLGtZnkXd6QpEAIAAlQ4AA3y4AAEcyAax5CeQFGUuQUd6g3pEGusEPpWwDdl3ZD2U9kvZb2QsAfZPwF
9kIAP2b+mtiEgEnl0p9sVIkkGNwbIk7Z8iXznhMhWYdno0SwIWx6gf8o5n+xpHpLkCpHiDwA/AScEkC3g5ebeB70xADAAIAzwM8DMA14J6Cl44MSlb0Bt8S4n/ZfmRvkBZfUXTbx2GudoZQ5euiE4IYr4SIHFBnoR2mqRhyUJnm5zwgknGmzcYg5reToqhKe6Fkeb5lZXuXOmVZC6dVlU5HBs9JCAhIEcCagEua5ZzxsRv7nEOvrq9EqMpETzle+
lBmhgTidrCG5VQGaaVGr5qwJq66JWwMAWgF4Bb9lUZZ4RqnK5KIeaEg5wWX3pYhypLBi9GFUDba6aeQa6GEhl+SSFm6ZIUAmo5d+ejm9pnNNpFdWIYQ7mOamjhxBbgDoD4GyZU6V/me57yfzHk5mCZTkwFbThzkrxhCS1lQBlgjul/6hYSlF+RiwSnnIeg2QD6rBQPp8oEpWwCPlj5E+UKHT5s+fPmL5y+RMA4F/ICIlV5PkSlHPEaUZcFY+mUTI
layBJrtmURjUCFbJpgzqZCKm0hbOH+xQiQn7oBV2R4g/A2AEMDDggIDuCSAasIQGkAheKQDAghIElSEAP6U4lh2pBV1EzkPUZQXap1aWJEyq8pqNFfia3hJaCBBQW+FKRV+cbl82ByQtF8FGkRbkV2YmXr65Z0kriFtE53kVkZu8mb7rlZZlj7lYUBbmpkcGcALRL/A9lnADOZEXrYHzxfyXVnGZ8BbxKIFa8a24PBDyMT518ypOaKce+agMlqSj
1CsUIAaxUkAbFJBWfbUZbibRnA5auTQVVm8TCqAfi9ZqqCNm8+C6FtFF+R6GcFclibko5tcVan35A5mnKT4mcvAjPRuco0HV2M+Ehjj+MhUTlT+nnooVepFOQAWqFd/OoVApmhaHnaF3+hHm7pgABdNN5lBZEudqPSUPmaseBrLBZhcNl3pLCdnkSAKRWkUZFWRT1DMAuRUcD5FhRcUUnBLJYyXCuS0vSn15EruBmIWLeaEWRFTwREWDoDoAbRLQ
vsbEXIB+oQkUhBSRVsBwAMZJcCSARgLq7eIsiLgBJAzgLgDPAKiAuBJwh4NokGhPUeUVK5O+UDlzu3xQfnbOviYXFoy0TIEkqiZ+WCXvhp2V0VkxFqb6GgJGOY/lpOYirQomRysh/ncxHuTMU/5SmfOknRqmYEbBK5Se0Dgh9EFml6ZXvgZk4JgHs5hklsoeZnHFF0Q8HjAf0conU61UC/b7SepaDHlatxeUaPURZSWW4AZZUWmk2yuZ6WR2FBTM
lUFfpb47bOjoCVaLA63vEwcIFGkEmglikRwWfhXBYlkwlMSX0VzGAxVpFLGOkfUGiFG2qqCTAdQV0Du5chVmUKF3ue3bfJKhQvGwFgedGlB+G6VoVIu8sZHm+RSKV4UDZWKdemX+t6TWE8l4USaVmlFpVaVTgNpXaUOlTpS6VulCPmiZGF0jr4V9hOJoylxpzKa/Kt5hBOqWtl38jFKgYYIPvFHATOngVS5HiH6A7gC4FMDrYaoDAAwAygKaVHAR
gC9IrF7EK8WuOZBQDnelKudOVBZ/pWEz6pCpmNFcp8+OHhasU+tHJI53BabkQSg/PEl2eSSdFKGQSGPPTOpO0eg4Lm3+feW/58xUFrlO5Ep9FUSHBoxbtA14JWgZglZSd4r+2anRSSx66fxJMpWWp7ycIUfrdhOiYIFvalRUwr2VO2WwJZXWVxYORmjlAleOXTuk5VqnCRTXqJHPxtabZLjpDaY5L45LBbmBIIMlVHLDekSdCUVKgmVggBS1MTgz
I8A6WjxDpmljbnV85DJMVvubqXeWk5BJcplEllxiSVixt2AcX2KjxpSXfluhVB7oAFvCAZDVxhRyXYpIFZnlhRVhRIC0V9FYxXMVrFWwDsVnFYyzH23/n+nS8YvO1L/+GFfKX+F0iY3lBFQ4SqWtJ3zul7PBnCPmCOgflWLksGVFUPlbAh4KxDXgU4DkqqwkgAODtAUAICBGJHwFyYV5pRafa8VFRZ/QVpdGUkEMZuqQAiBlqMrQohlEltJWT6Uc
u2YJZ/GQVW8FdcfwWpZmOUMXAR0UsjgEqnBNpVcxJWbeVHGBlTmV/5eZZTlLF2rreA8Ae4k5Y9ls8aPbQFL5WoVdV92kqVh+qpcVDMFrSZ7GLl61KBg8pc4cUaGlPwcaXHc9NYzUqIzNe6VU2UVUiExVlaRDXxVT8WDkKgrCHch0GcXLci5KtpFJVZVSNdNi5V25WjWzahVXCVY1h5Zo5zsLmqxi7xbEK0rol+vksA5KrEA5kQUzybpV7RjVUrbs
hugRZY/J7VdYq1lMaZ+W9VEHu1nnm6AIAAnc4AAl3YAATTYAAPS6gBNSTJVsCJ1qdenXbVAVpilp5TACFEWFH5lw7oAT1WqAvVb1VCAfVX1T9WaAf1WMAA1wiahXcU2dWnUZ1spVfLAZtHthVIFzeSymt5yOPjwJm4gRFaIJnHtSaD5OaepIwghIPpiSATlq8BQArwPgC3gygMCAAWdIMoCHgJ4BT4K1JaW8V8V2+c4m75qucJWzlaSpQp+JwZeJ
YHkiSCkxFKGquak8FsJaXYHlD+apWi2dIb3AbQkNu/k+1n+XpXyFTVQ+V5uT5QAW01j1OLmAgIqVMCSAAwEzl4RLOePaPRYdZzVuB/dc4pMeocniqCBZJu0lnZoMWmaBVtjDA1wNCDTxUOux9TRlg1XxRfXNeCMmSYNKqycAhIOWkAeT5ggPBNrFKVoC/WKV1nv0XPCTzuckDajMuILpViSbcnRS2oJxBeKXtWhKE5vta8mK2VvpTVGVF2qHXs5G
DdmGrMiLtHVvqHWegA7MGyrcqAAoV2AAgwPopvuP+UQAJjeY1WNgFYXW3MGedf73pEFRIBz1C9UvUr1a9RvVb1MIDvV71JwfY2HKljdY0+FIrphWbZfdQ2XKlg9bzXI07sTAFGMaKJqC9wN1Xl7E2EtWxHBKU4EnA7gEwM4CEgmAEYALAkgBQBjAnQmvC1OBAGwBUN/Pr5m0NKteDUWhkNbnHWSsqgakSVBel/YP1aqoZqDqeVd0WxlVte/V9mn9
UBFvChkS7nbGkjemWk1wDf7VqNFWRo2LFBZdTnPAA4M8BWgfikg2mK+Eag1s59WTo31l22dg0Jp+Vgma3IBtBnKmy50mLkxWpDUxpl42zbs1uF8MYaFH1INQjHVFcVUX7eJiduomika1LJzdwiwPc3XIXDY/XqqBRrJYmaClbuXJZNtc8IXuGWVAlZZMCbjUGREmSmqP4QJTeVLN5NaA2GVj5b7kh17NaSWnNIeZQ5UlJ5jSV6F6ABziAAAo0gGL
LU429S5hbilgVo2byXoA+TYU3FNpTeU2VN1TU5YLwdTScHst62TR6rSsTec3BFJ1dZkxYeKumkEVNQpx5w209chnMaJ4IQCAgJ4AKHPAFAIgrPWKiEkADgrwFOBwAU9QfWUZ3zV6Wn1PpSp7UFIlX3qgYLGToYn5z4fwaDmAzZNrX580ZanjNyTqJkJualZpYaVSDluDE1xWWb5EtJOQHUJhR0WS0LFyEVA1Qx14FMDGcSQGFR8p5ZeKFs1uxdWV
wFQeYl5nNtwRc2t5q3Kx5eU9YJTCceyVrgWJ+D1RIATAWbTm15tDTdV5NNHxXQ2+lDDQlWa1gzlL42SRtLrl2gnDTFgwthmnw2BtPRcG1VBYCVbmzq8qgur25lVfr4gYU+C6BwBhLX7XEtSbfBHdBwdc+XFtUofsVltXOZHW0tfVRCm7p9OKLyAAIn0gGj7S+2jV9CenkTVbjeBXTV6ALHz6thrR8DGtprfRbmtlrda22tKFStl2ob7bXmSJ+1Q3
lKl+Pq3kJYhFSk0P4udoaCi5eXg5zPNwSoCCTAFAPEBJwh/BwADgJILMCBA0wDplJALEWvkIxStTfFOtglTUXtNNaVrqetx+exmn5uYGwjZVJuvw1ItZuSi22adqfr5Ti9oAbST0+7So3T+YDYhFptPqRs0cGMIEkD6YU6ISDYGWxVUk7Fy6XsU1l1LdzlxNPNadX85LZRh08g0GLPgoS7wX3nIBTjNq1S16AGp0adSQFp3Dl9FBRljlDrROUCVf
zQ/Hq1gLUxmhZg+ikTD6kWc+HPIAnTqxm1UJSM2v1e5ZjVCNKhGi0b6PNNvobt2LSzFOa7RGhgYoE6S6myFCbao06BCEae3EllLUrLh1H5TPWbpYeSQn3tjLRADC8gAARDIBm10ctL5lyU8tdYVsCEdEwMR2kdnABR1PZ1HVMC0d9HelAeFUvJ10ytDKQEWHVCFih281q0EomWdqcpkpLAM4fZ2gxQUQ7aQxWwGMA9C2AMQBwAsiBIhTAazMQCXA
aoHRLMAO4PLUMdXzcDWOtYdgF2eJQXYxng5HrZDm66PHc+EdQwxsDwyWQnejVv1S7QmVf14mSMUet0Ni7mQRUxZmWHtKzXMWptxlf568hGAAMA8AA4GojPS+zfdFHNRmYZ1XtCBRW1N5Vbat26geKr9EXYl7FgVi59tvdUz1j1AgA49ePZoAE9CuZvlMBfbS030N++ZfW0FQtD0b0FfRhNFcQx5LVZjG0ZdXHCdoDvGUCFrEEIV9+IhZu0jFh2K8
G7agDRmVk1ibaj37eazQ5FVd6DWT2HF0sbe0GNswbHWnBBhbY3dhOsOWGmF41Vy2gVWeR428MJ3Wd0XdHAFd2b1t3fd2PdyUfB091crYt3IduUacUydrHuaA95q1Iz15eO9k513FfSEIBsAJ4BQCyImgLeDMAA4FZztgrKgMBle+bSOXr5LHUx3kF/nVOVsdX3VDX1FI0QqpNFyphFxA96ouqYo1ZQQl0CN6kR/VidWOcmWYlJUjiXKNxOaV2B15
XYd75l7plj08A+AISDEArwISBwABXgW1QFhzVo0nN5vd1XdOlbevGspM+Mk2du3zhPglQWRpx76O+HdbLz9i/cv2r9ZfYx2+d0VdX2xVgXQC3fd0WH8W1mLSsdmtxgPQljA91AhqZy9naRTH7lEzQiVDmF0FnKjmMfdl3hhsGBX7/2nMXG2T+Wbp0HHtiYej2aNpvdo3b9b+jmHb+jXV5HNdqPjKWIpLUlsBkDXgmyVPmLvcBVu9k1ZYVl1niOn2
Z92fbn359hIIX0ngxfcF6l97ha3V2o1A6H0bZIGcAGBFy3VH0H97MXiojaWkKBHkV4zpdmp9WwPpiEARwIyYqIaoGugDgaoFOCaA3wJgD0AYVFYlRBgNYs6NN7xZUXuJgve65DtTDdfVBlcNXfWt9cwIAOjGwA/JU7l4PUl3W1KXWpbYtq0Y7nosRtOF0dxdVV3HTFKPWV0ntU/TTUqd6kpIBs+t4JoBJAScPD7nRunUW36dJbW+WZhdZavEKtJx
TIO6lHeVRrgIW0fQWce6rs22JFqgxIDJDOfWkMZD3beqn8VLHR930ZdfR02KgxVsdhlWRKiuVVWuLAAPt9oPfO2jNGNf4N99wrIGHCFMDqGFD+YimCCL09oAo0LN8bQe0G9sQ1gPgN5LWe25DF7aT3vlYwRSVW9bWYY229f5ZQP6FXXRf6MDP7by2e9EAOoOaDlwNoO6D+g4YPssJg2YMh983QqVgZblc7FKtZGjFgj1zwQwXb6lxfvGedB3fgUS
AkhlCBhUgIDvBqgctT8BPpYVDIi4Aw4K8DL5bQ64k2DnxQO1C9jDQzY18bVLiH+uQSYjXG6OrJ33DNMZYl3jUDwsLbidsPS6AsQEQwTlFdD0PQD/ACAPQA7gScOCBjxC4Az4cAh4AKHOAZTa8COdo/XiUYDZOYSXKFkDYkO85wSoVpJA+AElTWVRPZv3RMqBfgOYNJnS0l56wXFH7DOp/XZ1mybZLvUuZ6ADqN6jBozz1qpxI6DUC9ZI/YMa1HNE
XB9adkqxDHYR2MXJG1fWibWxdYPZbXTDA/BlwY5nAoXAWivAtk51Qo6Mt4YlnELOyMRkQx5qCjwo6KPijEwJKNjA0o7KPyjio0A3bD4/cm2fJ2AwW5Gj1Zg25nDN7fo2XDNvbYIpCrJYf63DbFKkI0DTDurFXpX7Y8MjZfXUiPUBqI+iOYj2I7iP4jhI5XlS8HguQM7VUTXtX9hEfSCOKtCTWZ3WSMReUMz03Xh17VDRDbgCbFKfX2XD5PgBXgqI
siDACT0Y+ZYDgghIBkNdc+9c90elT/crUv9qtW009DHHcnb3hE+EE4z4UXfx2RjHkiAM35vRcl2zDgxeG3f19qbdiWE7uqb6vAH1UYAUYswMoDs+FACfRJUUwJoDXgsiICD6Al/biXoD8YZgMpt+w0p3T9FTupKEgHwMOAngw4EqA3FLNZF56dtWXkM1dLY65U4V7lUx5Gg51RqVQMVhMbSZNLSFnxX9HBkxMsTbE7MAcTdrT52vdfnZ0M19/zfM
n19j9j/Ev2RkTJHKkE0dF0QTzoHF0ItPgzGMQ9focr3zDavYsNnlD7pMDIT7GWhMYTWEzhP/AeE3dmETxE6RPkTSo5RO9xpLbRMY9IsWg14Dpw01nnDbY+Hn5hRjXb0MO9w0Nkli3Jc8N/tEADwDXjDQneMPjSQE+MvjwIG+MAj6FWuN15iHYqVbjx1TuN56o+qSbIlCWBx6njF2Tk2HdEgHvSkAzgNnjz9w4LVpwA/wPEBsASVCeD6A14KQDisn
zZ+NqTz/RpOv9n3e/06TSdv467Cj4aBP31frTw3P1kw6yMidAQ/BPUy9nlVVoYDcFJ0ANSjVWBqg/wJ6CEAGI0kBJUFie0BJUt4MCDuZzwEYAUAJ4IgKBTWgcFPqN9Y+m2JDj1DACAgoBcOB1RumVkNhpIZrgNb9UUy5WEiVU42WspvbnioVgo4dJE4dLSBAWtTiI+gDAzoM+DNEjW+c00/jrTa63C9glsNF7OMTK+LTASGFO3cN/aueRztUE0G1
xlwmbbU8gZyS86XJFYO86OTJ0JTAiBNkqb6XT107dP3TpsU9MvTZ4O9OfT64FsNyd+JQp0VdbVTDOXtcM8HkxTuYXFMx1pOKE0HKFjYAAvTdY2GF3FAbPGz1jU71Dj9AyOM9dHvRlMdTXUwvA9TfUwNNDTI02NPisy2eR52oFsybOiDsrX9abjgk6CM1TZGpVCiTRFRbZoY5Vj0lVsA+SoOXjOeQuAsaEWlCABxsiMODHoKiAMCSArPu+CIN7oz5
nWDXo6TN2D14X6OUj2Ib640jjfH00bTTM+kzeDFtVMZjNkPcr3Q9wxSEMLUcXtMBWkpvnCC3gPwCohsA/wDdlTAU4NqCYAh4MwAwgQgM8ATATzRRM/THqas3/TynTP1r9+/UUnoAKiLMBwiKiPQCkA+jnZWixWcvAgOazlVrMQc3NRaNkaGKILmn9jcJJWnjLE06MQA+84fPHzAUx+OK1X48x3vdmk2/3aTHTTaEYoYkg3DSRmEDt0ZVSdtC3+tv
DfC2dmCvf5JUxQUvEl2TwYQ5Ma9Pc8VDsIA2swR8jOlVWBDzI82PMTzU8+0Azzc8wvNLzCs2gOrzsxUb0bzFLee1ORGswUMR1dXV+XW9CsXcMLB3FI73OozvUBV2zqU711jZ6ADdlpzmABnMLgWcznN5zBc6QBFz61Z4WJTgIxVPAjoc9uN4ViTRVBeV55BkQM68RXUNGlDQ+gBJUNKvoBJU+AMSSyIK4P8DDz/wGFT/AQgFCAlNRM3z0kj/bS60
zlFI2ExYhTNrXMN8vXi/HzAM7UgwszLc/lVWTfg3GOPCkzZyN4LQzvqBz0aSd7XnTpQP8BVQ/OjCD4AxfdCHypMIB8C4AmgEYDYAhBAwvtBM6dmXrzoU53aAzHiAMAhGrwP1Pz1hPWfMRTAfFmNGdt84jNzBqXgo0JmOxoQQgYOTqePKTOM9RVbArS7MDtL/wJ0vFzf2T4tlzs07+PkzgS5iFc0RoCci80NUKqBnSoTk1CILzM8guHuqC/3ymsYC
WVUrag6fAPvCqoe7pQOpvrksLA+S4Uv6AxS68ClL5S5UvVLn1IrNj98nSFOKdYU9gn2VjmPKSbQ/SzwtR17Y/wvoAbdCAYorH7cONF1jCUwOl13ylYs2Ldiw4tOLLi24seLXi4uOt0CdO3TnBu1eVMbjB1ZH33BCaVVCozMDiDzEqp4zuAfzEEAQB0WYVAaADgC8NeAQgSVDABGAsesoC/zD/S93UNPzSwHAL806AscdQXDwGqsMDAZ6P2jcywoD
q0Y23PTDIbRyMD91dp4qzNmoKb6XAaQwOALgN0zuApE/wBwCzAHwBQCwkswISBiO307zHMLHIcb2bzDE49RTzC8AsDkdxAMOW4RBzSg1aNRXCVBnS18+W1FDe/SUOt5GoJCMalnAuk1PuotdZAGl5i5LWWLEAP6uBrA4MGveLfEfz3lzPo5XPBdRUOPhykKrKkQ2gY4WGV5x07WctwtOq8XbtzNk9jVpd6RJvqYtWXQhN3uCA+sO6gU+C6LELJNf
RQWrVq2qA2r+9PauOrzq66s1LLISA1Htqoy1Xqjas+wuFSka5vGazsa9rNED26U10DVEAIAAAzYAA5syAaXryU5yUSLDsywPcrKIBuL8rgq8Kuir4q5KuCDMHVsA3rWi3StIdgyyt27jmSmgWXQpDALmnjT3dmu5Nu/M8WSArwEZx0Q/ttiT9gw4GMAwglwElRGAJRSpORVAC1X0bLZMwEsODTVMqshcfAQ2twL9I5HKCd20z31o5e0yk5TNwQ2I
WdwlUFqCySpvnAATAEUGqCSGCwLPOSAhIHxrxAuALIjtAU4PaXLrDVTEMT9cQ/P4+rplepLKAw4BQCAgcAGFTKA0G6GuGjuA7utr+jWfDOxqxQ0jPVtr4mgVz0Q+p2W7d5Sx/Oqb6m5pvabxa722+L3o/4uDtVc2Ex48WuZX55gi3ryPUbxtQyMsQ5kygu+DyLUxtigiJcOYwDqJQLNOa+oMjQtQhXSQulAPG3xsCbQmyJvI04m5JvSbQK4wser9
S2j2NLDY/pvRcYNvuvXt8KxcO6zVw6TiAAtrWAALQ2oAiHIACRqyAYtbbW51vorts5iuuNY41IsQA8G4htQgyG4KtCAaGxhtYbOGycHdbHW4HMLd9K0BvSDqHRxD1TA1mSaJ9LSAFUXjQVRIAwAScGGxHAt4P8BQAJgLeD6AUAJyZqglJDhBZrXnRFUV9BGx0NALc090MLTHTeRu6elG+qsFs7g+MN1W9G1cuMbcE8xspLbG7wCu6aGPM269U1AO
CkAnoISByjeI3SzDgQgDSwIAXPYQBTgEM4s3VjoK39NlbAM1vPBKkgGJ5jAygBMCMmXS9xOGZW5rusjBpmQesDLuiwmu81CoqjPmmnAjZv2jLSBXos9OrRTvn01O7TsrLlfW9vXiXQ2rVfbHHWkHl+mQVX45B8+FL0eDHfRcvI5EW7tPg7FIFgu6RA/gOuns0UvMBLQH8sfrjrcbRQCI7yO6jvDg6O5jvBAOO3jsyb0QzsPybew+Cs4D265epM7c
KxVL1ddLeCkkDp6zcP+RtA3979bLjd+1DbfLRABHbJ22dsXbzAFds3buS/duCaJU13WyOYg73UhzWDXoukaQVtshH9AAlJJg83lKHI7b1kHdUttrPfrGkdPwLIi3dzAFpsDgPwIeBUBDJq8B86QQX/OH1009+NEbFczqkdNwSz6718eIUElt9MvV4MHuWu/EuRbuu7amGrbtUqDDOUYab5JUU4CIjgg+INgA11RjkIA49SVOCCyI4QHtvurdSxTU
NLXu+s1k7u/IeCF4MAEODAg545AWs1G/erMnDXC7V0Iz7O2Zu812yFHMbdrCOYTcpCjb0ni1MG21Pl1z+6/vv7/e/a2D7gC9Lvyrn24qt1FZoOMC2hkCw6EwL/22rtA7svbEvd9oO+AOhtmVar3YLekY8vV2Ey+L1u5I/VWDb7u+/vuH7liSftn7F+67vI97u7WNKFVWVutHDHCz/uAphQ4evEJx6yHsFhAFYIvH+t66732zU1SwPtAje83tqgre
8oDt7neyeDd7ve1nvUrZUwh0AblUwAfxN+i7uN4x9U7vG487K12XRAH8/gCYACADwC4AZ43R36YuAFCDEABS68DipEwLgCIZSB6pMyrb3Wgcfbsu5geJVS0ynbATq0xnZuDY+LPtMj5tXEu6r1k0r3Y1iZYdMSZ1pE6A/CpvjwDFgU4AxDXTYVLMCsmVnLgAbAp6AsA6bwK8qNUT667mUQNlxhm1/BRgFvD6AswCYN07OQzxPHDpbdVvk9ca5T07
zQBwyFyDTomBF87DzW2RQdMB7jMB0XRwsA9HfRxLuvbJ9e9ubLJG15tWSh5JhAqgVhFBiEsipKrtjDKR5ruIt2u4r0czwjRihJjPAlxCpjveQdPLDmlq+JkVG0Ij0YSxR7jtlHhABUdVHhIDUcIAdRw0dFb1+yS3E7d+yb0+7HNaaO6NFDrFPEDDLaesZicsKgA7MgAL2dqK+mJYnuJ4ocMDyh8wO4rAdC4duHHh0cBeHPh34cBHQRycGYn2J3if
/rWFfntxNwG3nraOUfjc2vB+8SQ37btjOCBHA9AEcA6KRgMoD/ASVBUeeg9AISCXA14PjbHdLm6XO/N6B1Efq52zlewBO8R/sLPhRurRuMj1x5ZMZHfg/qvLRQQ8/nrRIGDVBaapvguAng3BpybBew4M8DRxbABYn0AmACKfPA5g1fv6VMJ7fuqzVls0tbAg0/gBTxvwI4kf7XEwMcM7BncMe/7/E//sF7HO7uM6g6Hcf0LUyxiBSwL8xy0jZNSx
7MsSAEZ1Gc/AMZyEf4bKB4Rs7HxG55uVrCoFAuSRBk5VDVm4+hHILsxp22s+hHa1keczghceULDtB0bvwOqS3F4DW9zZsOOnzp+PN4j7py7ZenPp0Xj+nVY0rMqjzVa0cHDlXQidUtSJ5b2on0h+ieyHmi5nUCLEe4FGctpJzisw6Ip2KcSnUpzKezAcpwqdKnPwCqfkrQi94W9h64+ycrb5h1ydka9PajM8zBoFJPWQlZ8Wett6AMQCyI5GB2Dv
TbAB8D6YBmGsftAC8IwCUBqpzQ2lrw++Wuj7AEzqcrT+p3Az6aTc0Zqo16R+2t6rHc9kddzeNZpYrlNdhxBnT/I9SiY7PAEdvAgzgElTOAsiAvmGgS/Z6BjAaQ7wf69NY9RN1jJO0pvcMWo9TkngPANyr/AOrnpu7n1Xf7smb8a4Ae7jE+LT1IIuoPrWYzEF24UIjJZ/dIKXSlypebHNZ1Lu+MGp3+Ny7WB8ElLAZUCtAHOdM+EvSi42uRdDNaR2
Qe3HaC4FKFpA5yI08z4jfzO4LUO8Nq0zH8hP4cXXFzxd8XAl/EBCXIl9OgrzxWzfulbcJ37nf7SZ+IfcLAe7wuIrkeSS7YuIvKbO2NZVwcoVXxJ+IvvKki3HuwX8F8wCIXyF6hf6A6F5hdrVLdT+sSA1V7VdsnMTRyembFh0Xv5s+l3g1OBwzvXMOHWrUnMHbZmD0f/Awm68DRk14ICCPTxTcQAijU4PQA9XVZy9s2X2xxEe7HDZx/3QIamsAgag
oCLqAKikLWYRMKPlz2ddpOuxAOBDo59M0SZG0NXwoIrF2luQAUIP4d4Z/wPQAVN+mGFSTgGIwzkin8QMn0Bnq64b1errCwkMP7ZlUEiPUAwA4k7oh/EgDdLxzZwsFXf+5pfjH6Z3nqPzW8ZIUwMp0gzr6AJl0LvOdEAFjeEgON2nzYXsq1UX2XWy6RuBcdyBAv2h0C5kvx7Y2lEvarIOwFf98xVRgsJl+u6eWRXG2ktCgMfJ6b5A3pACDdg3FABD
dQ3pNKQCw38N2ucgrys2CshnkLmpdm9Ixxb00th52Ck/lu6WHtoVg4+yWftA2zHtpT440tezAK19wPrXm17xcL9u1/teGHq43KW0rf54BsAXa25ztvHAtYAJaaW2uokM69TbJPqSSVMoCyIec5cAJYm9WUkfAA4BJ4LzaGC1NSrU02EfqTdZyPu1FMR4hLKsv22FybJh5E9darW06zMLt7M/CUfX7x4hN5H+LFexVblu86wpFBiiojWVm8GwAwAP
wBn2s+KREID6Yu+ATvrnzR5udU1bR6Gdo36koRkwgcAN9VfV/R1/tm3kU8mfRTbO2mfaX1mZ/bjhgAkgh7xxkPvF4dQp0xob3W95te0B3ndWel3M0+Xf4Xld8O3ka42rWtFwXBPjHJMLaxRdd9LIwxsUHODN2uZZmXVM05dhPlqUQbKAwPfYAQ9yPcDgY9xPcngU9xMAz3c940dBTa89lcm3/7nlf5DRNymeDJge3e0yHCU4AA0S4BoUDUvAw91X
Lt6ONu3w26nfp3kgJndJA2d/QC53+dyxpJARd9+u+zWwCw9DX4g1tlaXY1yDY/88TCAfZnkAVuDtUFu/zvWQlY1Bf17/XVlTxAYVPgA/A3yzwAQ3FTaQBSb6oICBqLeG0dfv3Q+5/ceb5IzzdWS1d9L6qr6rAIHYyRp5BOkH4D+QewT71/tNSNMPXgvqJe2Mvam+UqVCA2JV3c8CHgMISPlwAYwIiYwg0p/rd69JXUTvBn8QxqNr3j1F9I7XaoAM
A/Ah8dvNxne9yIcB5fE0fcCTJ90MuKhoZZRElsBoEXBT4OY7Zv7dDN7msFP9AEU8lP7N+Ed2XkRw5fRHP96KhRMVpJOy/cHDRFyzsMXT4/z7Nx4vtvXlB+EzLaR7BVV0H+vjxB0GGrcwelAUTzE++m8T32CUWyT3SBpPYl5k9G3sJyQ+phCZ7xMaXPVXVton8U7b0c4gAAtjgAJC9UsGy3fPvz31tiLbD9eecO5J4CB6PBj0Y/6YJj2FRmPFj2qB
WPUrf89LbQIyipLdWQ4BfF72QR0kcSUDOBcpYX0zMvQXEAO0Awgy9YQDtAlJKKmYAD3eQHL9U4LMAPdAz2XenX9Z04/7Hmuq48qrsvpsnN86uxMMt3Uw5kf3H/fVacgRRKoUF93WS2xdVgU+CxUDg14HVCkQZGQvBQgYF6WMLA6T/PeG3G5yrM5P7R2GeHbcANHymcG4rvfhrZD9U/GbWeoMumdeeli0HjHipwhcQcJAzrM9dezq3wAJr0uCPbk0
//PHXJM3heOPvo42e4spkIruV+/NNBieXyakMbEHc+x2aXLEt2DuBPR5ZA40Hhu53eDrTy0/aEEHUKb5yv2h4q+kZUACq9qv3sRwCavVz4Ts3P2T4ptsLlT6+VWvN87VvW3OhSesnn9t1+esP0e+w+NXLw6S/kvlL+CDUvtL8U1wADL0y+fnCh1I957/53U+Yv+bKRVJp0c9FhsITmNeWnj6T/cBdPyc4duV1C8C/vXgcZChdwAh4Pbuzz+mPoAk
TzLx/esvFd+x1OXgCCqAgIxcuAi0KKplJYg9wO4K87Tdx+3dBPT+SBEpEyDmbum+FAEYD0A30juDcmzi3OjYArwDvACEFAEvnVvC979N1v+Saje+rHiFABJUvXCeDWJ6V7GfbF8Z1WVDH5D/UkSHx9+aNWZZGq8G+B6REXD7xX66ZfEveHwR9Eft7/Y/3vX94+8xH1oLgcC3g2kLeqicb1ccvXYAwE+rPKvUOf2TI51m/G79B5clnCyDxhIQfUHx
8AwfgIHB9QACH0h/tAKH+vQZX0J2utL33qw2+DHoh/ldUfhV1Q/FX9Wx2Pdv8h6WGO3dA0C+9vIL/iksDMAAe9HvJ76QBnvF7+uHXvyFdN1CDrn0Ych3Jh2HdmHC75HdWHv0VH5dABXa0GnjVAMndha6EQOCSA0QKQBQgq4BwCObbtlds/AzdYddlFWx4G8OPgWey+hvwSfqC6nadmtMRcfL/G+pH8XX4/JvkD5aefXrG87qYF9Pfaf7PkABwCSA
G9algWci4EjuyILPvoALAA4FOBUkaHzq+L3er/W/Yfym49T6DMANeAqIyIHfckf2QxU9WfVT08+79pN6ff0fr8cT6wjpkOo4OHyg0S86P7QlOC7f+3/gCHfFX0DV2PqB0M9nXdXxddbJjcC2dv2hkyMOxvLZtJY/vvj/L3df0n935yfGb0sPSNR0+7rJbqWxOtjfE356BTfC4DN9zfC30t/BHGTzW+6vxt/q8P6lr+d8IuOs6896zzn2edyHF56n
lXn96yofknC8Nl+5f0YAV9QARXxpslf+gGV9B3qUcYdh9wc/O+cnCX7VPdKF91RqbQrEPqBzHvSW6vPfOrbgD4k+rYvBQAlwPoBponoGUuwgEQp6CIHxd/6+/ftZ7x/BvFa0D83IjX8RdPhpcQbkI5INeFvLP/76J0d3wT93NQ7JUJYTpL/1xOvAgFAMwBIgxg1OBQgprpgDrYzAAV9Qg2AEkDKAK300cYfxD5T8BGeT2rjtwG9bKk4R6N/jck9N
nzGs1bqZ7R+BW+bNUIFRmBezbqPBZ9ZC1DO7x6+M30VNgC5/ha9x9/fbssM/c3HL4snNn+k2D9tn8TPrnTRrv5J+35CP9UHUHBuyj/Zv1dl5RX3fziN8QAIf2H+EAEf1H+egMf8BDx/if8n+FbtS4Gdmf631h87njb4icW3O/bT9HrNt/1Wdv9vb2Onnbn5Hsefxddy0Pr5J5r/cwXGgvC6/+v4QBDft4cYQCb8zfmI9rYjO9SptF8JfqBk0Xgys
QiruNrko68zqnqBxBBmt0AJoBxQB/NZvjAAhAPng10ElQiLEnBBAOKBVNvgBSAE99zfgPtLfrZdu/gD8Q3nb8iLg+ESLgG4uMjslLnBEk/Ll18PfoI1l9jjU+vtadcWIQRadAPMV/rph4gFgAxgM4ApwEIAJgD+BbsNgABwDRZwQDPMU/oQ9PVkHUM/iZUw9PcBcvoKs0RsvMjvlDMWnEX9KPiX9RjsZ1Rrna8gLpO1KbkE51oPi9qiPM577sEpC
AHoCNrlCBDAd99LBj201TnKse/nsd6vjcgNQJaAe8tYRxloQQIfs4AYsqEkOAWFsk3jwDe+qm91okAhGlJk4XQFAEMxlu0MZjL46/psNxAZIDpAbID5ARMBFAcoDVAYf8V1ss1dhjRMcrpZ8HnhR9m3qztW3nT8jzm88+XKS4OcIABKmsAAuZOVXJ/7VXboF9Ant7v/d3oc/GHQ4AvAGyIAgFEAkgFU7UcAUAqVr8uA5RDAiJo/nUO7DXKX6jXRd
4/8c/pbxFp7HSYdAkqTAH39Jv71DPd7oAcEDMAeOL6JSQAnoFPiiIE+YwAFRAfAeYAahCwZ8+XwE4XNzZlrG34EXJ95XXOLBEhO64QIY5aGeNgGxZOIET/GCYzDZIEr7MV7vCS0QbuOVym+NgCyIOlRQgNgBsAAcAUATQZ5zTAABxQEAJYXgZqAphYlbFhbSXeibKbOS4cGLDZTASNj4AWYCigQv4rpYv4s7Uv4k3I6pXfIKwU3eX50Ra0gbqO0b
1/DAFaQCGZnAixYXA+igETBkFMgzv5W/f75svBgGLTQT783TeyC3f7bRA7dzsA8JLxAhfZmnI/BS3YK4P5WW7q9LZ6w9BLA+UQlhqfZKRogjEFYgnEF4ginaEg4kHWPA26p/Ih4UguoGHDU75NvGn5b+KQ53/Dt4JTLt6QAl/6Xnbrrs/Mk63na4HeUdQD3AmACPAy+gvAt4Gi/SJrQA3Pbh9LYGyPHYFJqI5zV/TiA7Pew67dTAHvjbR46tVO4K
Au8b0AM4Dggf4Dcrf4BQQMYBnvOUG0Aovhc3QIFA/Ll4UbOu6cZGtDagvZLi3RIEpvGT70XL64jFZzyhyDSoq3YEALwCwC4gqACcsQEDYAekL/AAkY7gdoDzXN0HqA8kHI3SkGbfHQHO+SQCbhFRA4kc17Qzfe6wzQ+7WvC75cg+p6spJaCl7T2J1QAHjR+Iy4ig+Pxlgxm6Hg48Gng6y40Ak64Kgh97/jJy6T0OIAdeSvzIYOLD4xGIGmpeLJgP
OH5Dgnr5gJcQSzeC6DzeRNJbgBLaS+YyJGgDYbw7CABQgGcFzgo4ALg8EBLglcFrgjcGkgzK5BndP4bfc/4+gy/5Xglt5FXBFaOfJFYQAT7wsldHwufE5iPebiE/eFn4mFN/5YrJ4bu3J6jKASsF92GsF1g8HwNgv07Ng6d6KxfiHfeFF7aLOAGrbRlat5R5AWdZR7gbfMAcbEGKYA1ALq/Rm4VNVaDYARRB42ZwAngBYBQAQkC3gfACZAKcBRgF
sEAQugGKg236LTLsG13GBj13KaLw5YmJG5WH6gDSf6wgkcEsbQQHNUE7B5gc0ym+fTBJATACYAXACM+fTAngYgCSAJKhsAImwwAZwBTAV4D6AROZbgskFZXT0F3Pe3xY9TgBJUKACegOADYAD8G6bFkGJnMwHsgiwE0fKwH3zIKwkmLeL8Ca0CoyY4GcQD+ZVQmqF1Qj8FPbcvqVfAN64XGr575JUEdNPFgRvLILV+OY51+F35BQxHKLPU07UXYV
4AfNN61BWf5YQ5WgbqR0SzXfu4YSBKFJQlKH6YNKEZQrKE5QvKEFQoqGk/dD4eg3cFeghiENA6z4tQozYsQ+z5sQ+n4NbRn49jcPZhg1n4Rghq6f/GHTmQijBWQn4A2QuyEOQpyEIAFyEH/dRYgwqL7d1DMGS/cO7xfLSFAHNZLE+LoBJmdvIaPEUF97T8G5ra8D/AFRAngT0DKAKYCAgH4Ab/NEaEZGmEYXJOBaPcaGP9KaE/AoN61fOaEcdHyG
8BHsH4hCModFSEoWTVubbQ8060XAc45HCNrd3fUADDX47JSMYBnbeIAcAGED0AHgDEAZOA8wH4CSASQwcADgD6YOEImfY/5I3TQH0Qg15Z/cKhfZXW75fIs6NQ+nbkfL6FNAjkE2vcw7WArF7I4WzLb6AB4kw4UFOA4K5sfF77oAMKj2w8ECOwtyHVfa378wryHzQ8N4ZBSN7ZBaN4glBSLsFCEpblTr4IQ/UErPRH7pvA6Hy3RwxwkZ0CHOFWEe
aNWEDTTWHaw3WFJwfWGGwk8DGw02HUQ0z6WwyfrWwqn4Xgwm62fYm7PPNt7UldoFAwph4O3U/yiLZxqjA7FagvGHRUwmmF0whmFMwzAAswqEBswsXScwn2YQAyL7B3TGFBzWAGKOTSEIAy0aZBCcQG0VjBtPRwGYA94ELXWxhsTHcCAgTQAwgcECegeIBTgS4Cx6NlRJUDTYbFMxZcw6VZWDb4HrLGaHn1QH6LTZ97XXYEHvvB65jic/KRlToohQ
6CaLtTtZyw0cH9fc9jixc0Digc+5nQ5KTX0NTrOAV4C1OI4AYjBRbKAOm7XgHPpTAWobavd0EaAjuFn/G2E4fLYD/Aa1xGQKPQZfTiakfE76fQs777nMY63g72FLvbGiseRySSkZf5dlTAHlfCmGSg5hFwiSxwUAdhE2PSaH/g2OGAQvj7AQgT583O0JqgkT7/bdcqZwj8LQgxBH9nY0Ez/OW5mgvBZ7xJBDOaIP5xtXBF2lAhELwIhFOlWRCkIk
8DkI28CUI1uEWwmoFSXd6HCHRiF7nK/4EDPRqtAwMG0Pa4aP/dGEYpceFs/CGHjAr8y3w++GPw5+Gvw9+HSnL+HXgH+EbwjardhNME7w5bY4w6X54wqw448WzJIYI8iQHYliYA4z7XwpjTAgKADYZNUBsAFcBCALoT92JlSuHDgBJAKEClg3+El3f+Ec3WwZqIxy4xHe37POZgFO/UWEblLOGGItu5e/QD5JlauzHZPbDs2U3y53A0DmcCgC3gI4
DggcppRkHcD6AHcDsaV4CUA6hHbg0qFvQ8qFDxLHoLgOAAQQMKgLAfTCBxMp6cIi17dwsQ69wyh6ewup4CIn/iSFFd4bddmKnOV3JGQsYBTdcUE5rSUG3I+5GPI55FUA5A7KI6aFxw2aEJwgCYD/VNxD/Y0bpwtgrtFTcqzIvs4ivOYamI00GfXeB5czSegmyXgRrIgcAbIiKjbI3ZGcuV4AHIo5FVHLxGI3HxGCHf/L+I7hG+g3hGSHUFLtvcJG
jw4sJP/YRadSJ24YrTz6Rgm85fmepGNI5pGWJNpEwgDpE8ALpE9I1MHrAmL6bAwpHbAmX5kaTaL1TMC5WbSRqaJTAFmw2pHBKTcS8Da1o3dDgCkdN6YTATADEAYcCmuDgBBRP17UAgZGDPDyFAQkZE/3MBFAg266QIsEF8dMBimTOSqbQqWG9nWMY3LKHqRQkCJGQX6JFwSZa5jc2iHgBeDAgM95xkGfJTAUpop7Mpa3gZ4BTARExso6oEe7WoFX
IwpKQzCiK78fQBQga8D6YeIBJUAYBTCJqE3GZBCMGZiHNAsv4dQuj7F7cLh8gioBiNViCuvIhpmo+m7N/XNZ1ohtFNoltExwpFGqIv4Hf3DmiPHIMbECUMZ6gcMbzPMyb4omNHsjR5yPHbgRpBF46K3aO5ZA80EoIfWoVwtNEZorNFOomAC5oy7YFootEloyoGybfg6SXTlHU1D6Guw6ZQdo1CTmAy278ordJhI484JTDwQdiJn48UBwSQY0GHCQ
ieGiQ2PYvDK1FSpOiCXAO1ELAB1FOol1GegN1EnBCDGZiWd6ZgnVHZgvVFBWKTonwomG2EC+EUWD+avAMKiEAa8CYAHcDn7AwDkdZQBCAf4CrwYcCaAT0CcrP8Feoll6Lo+OH/A0ZFMAvU6TIukbgTELbT6X94QPKf4qVeNHvCa0irDEZym+KcCegcEDFoncA3ZdnS9wD4A8XE+h03T0CLHM5ElQ2iFlQrQGY9XeaZTKcBQAWYDggEVLTLatHINc
8EX/QJFdoj2E3ghCy/IpNSMyNAojOUipjrUmFOAuFEQo2DYcGHgB2YhzFOY+dG8woBFCVEBG9DdFFSRd+ztnCLgmTGTGcAnOGhQmEEWnTBbEonBbmIqK5pEGuyRWdTGaY7TG6YgYD6YwzELgYzGmYgh7mYk/4U/TuGm3dzHqXPlGtjUJGCosDERIpKaAvBDGDbDh5x7ejGMY5jGsYpKwDgDjFcY/jS8Y/jFow4VFi/dMG7wiQbovBjxkYia6+w1j
yROIXKNTavYig0p5SIxa4QABioLgAUKkAEQz+2GEB9CULxTgTADp9Q8Dmo7wGfA9obuQtsEBA866gI8THNfRI5BJX1rPOTabNzSNFUXaNE7Q+ZEQ7Vfaw9RkJGgRBLWgjzRqgfLwH0XeowAYjJdCSQA/AWYBZ4A1quQt9Fu7CS4tHZe7bnBhHUg5ArDxeIBHAchFJwLeB7cNtGNAmn53zPtETXeVwalDFCwDB77Fgt2wTo84EnYinFU4mnFxYwBH
Io4BECwp97ATfrTpyfFTQYPUD13IuAQJIHGgPZka5w6WEGg9BZGg40gOEZsoXQPtaG0V4QXYaKTzqTiAizFf6I46LRC6E8Co42RDo4zHHY4k8C4482Hso8tG+IytG/JDrHm3TzFtQloG3/XrFDwu1DVXU1CAAEFXAADodrOEAAuBOAADqX+gVLx/cSahg8RHirZiIsbZiJDhsf28MpmdiLsVdjTErdijgPdjHsc9jwvn1cmWssDA8UHj48WpDTDj
otcYYfCyNENg9LgV07MgNCwvuFjYDgHRHMduJlAADIwgDhsOdFBgKALPkY9ILj1Tp9iksQBNAQa+8wEPdcQ0UnZ+mgrjfLjliEEXMiotvCCBAUm5w8CeRPFPDjzaFOBSAMoAPgByxrwMCAd0BMBZEGYB2gAgBJAPEAYAKqjS0XJsBDmqMhDqvcGJjSD1JPgARpgxBCQMOBcqHTi3YQzjbXp1D82LyDkAXx1q/EVFo7qajuTNziJQSdjX8foB38Z/
jB8f4D6AaiinLiqCtEVAsdEQzNRbuctd0bCUAwIaCC4ftCzEaSjwwiIFbsOvYbEc6xt8bvj98YfjDwMfjT8efjL8dfi8cXwcCceZ8Ubj+ioVu7iKHjU9WIS882gQz9QwSPDh4dEik8UNjXbqniWBknFX8eLJO8QgBu8SSRDPv3jVzgXjxHueds9ulF1IfvCI7sUj7XqatWPFVADLshJ0AU4CBBqHDPXoiYOADwAoQLA0TwB8AkgIQBEdpoAF4Bpk
K3NBs+kRb9BMXe9hMSijRMT/chYe48B0Y2tp8Zqsn6sDjE3nqCVcfnDevop8GLt9cJwcOhN8Q9BngOCABwC/Ck4O9R7xsOBGAPoA2ANsjgwCywb8R+jCcRZ99wcPFDwFOBgQAsA6obd0zwSYDWQd9DOcp7ie0bI9fMZkZJGhl5t9JPQHUm+CnAa6DjsbYwKiVUSaiSiZFET98vCTx8fCSLjkCTEdU0jWtIGHWtAHpgSQHjEsQcf5dEIQpiMctA8M
WrA9DoQwhDILBgKUUkTkICkS0ifk1MiQsBsiRkA8iWY4mACT8zMTRCWsbc8rMeFMCbh8jAMdf9/QQKjB4YIStgIAAACcAAqbMgGQEkjAxDEjYl4YwASwnWE2wn2ExwmkAZwmuE8gAnBEElEY7GFxfIpHV4rF57rIAmnQMYr5ZAaHwjXd4nYkiEr1K4HFo6py4AMr5MWAjKaAMKjipBAmc3YfGi4qu7ykGu7CwvyFSVaTHePWTHwItmYEo3aFhtWI
ljgvBbqsfFiFHFf6cRB2GheWYBwAANL7wCgEfAWebggYEANQprGPE9uEKbehGP4rb40VSNiulaQBNtZ2FkfLgkH3HgnXgqGhew//EKPaO4JmNGZHOaGwDQkn7N45Y5+gHRR4Zfn4MkoZFLo/j5jPFXrfcNmKIDGZ50jYLbck7LGSw0HGvXT35L4tZ79pe5abPYgliKOVxXVTtHSvAG78gKjpRw6UmykoyDvgexJKklUlFEtgmn/FTLegnlFMQs0m
/Q/uE9Yn4mAwu1CAAF1XAAB5ji214h6AEbJzZKEhY1RJO0qOnhX5hJJj2UDUJ4ApJVJNyWbLDpJTbXABG1TbJvWygB+SNRe2hKrxYIyxedfwy8t2FnwETn5q4BLAB5hMZusiApehrn0AQgGvAB+0E2x9EuAd01j4XSM9JpI29J6iP8JrJLcePL1V2gOwk+g4LzhUZL4B8sK7u0OOhs8wEmAsbX+EQ5T40T8MIAMIAwuSQCzaQjCixfoHv6DxLbhH
KPvxXKO1JOgKORUICJsdYJDWBfxdhJpLkY0a1ahQGPahrRKtJP0UTRqrSOco/hV+VSLGAMkxcBu/BQpaFM0AnnQ9RCKImJXfw+xSBL8JHNAWhycKWh0XBjeRBxfJcmP8e4UIIJJ5RJRQpLJRDCCycdkjKGqZInWsBNnmaoGApoFPoA4FKmAkFKnA0FMLJWTzohWpPaxASKVkuFJ+h3aL+h/BNAxvuK3hNjVFRKUWtmEqKj2k8LEhw213J7QH3Jh5
OPJ2mGHAZ5KSoF5OI+0HTUJzPw0JfhQrxGkJ0JmJMERysgy8tCl/q+4xCxmANEe25NzWJ+KkB2AG0whID9ASQGYAygGfG3AyMARgHBA1FLGJPgLexKiJ9RwyNGeCMjHxN1zfek+KfJyR2h+JBzWJ3ALfJvALhB/AKFJqCP1oq1FQB3lFN89AG0wh5HBARgEJAswB+AKVA+AKiACQUACXgBgy0ptbx0pJZNyejCIkARwAXg7QA+AJ4E0AWmDqJEaV
MBhlKaJ+FNqe5fwgCWhnW6yj0icyNDgQaoTHRYwGxmAxKY0y1NWp61M2pAmK+BgyOvJImOXRZG00ReB3VBFx2l6dVITelF3WJTVKSBMnxNBRWITJ1dnWgntRpuK/16p8QH6pg1OGpo1PGpq4Cmpk1Fgp3iKdxX6JXuelLLJd/F2pGhW6x3uJrJTnyEJIqKiR+dRiR4MOrCkMK/MiVLpYKVLSpGVKyprwBypeVI1RNKy1R0j3lapGN0J9H3pCeDVT
WUGEQClFKehzpLMuEAASo4IAGAgR23InPkcJHwHBAuAC4xB+NGmV5L8W71J9JCMh+xIEz+xwRJn2/1I6+4ZKBpURPfJLVM/JITyiuo+BSIdUBNGqaIegCAAlkU23hpB9GEuw4FIA2fVIAl2LYA+oBmp5P2eJbWO0Bw8WBAUwCpUFAFj4oxJeRx3zeRbuO3MBNPJKBFMu+d4O0hZJkFyeb3tAl1PERyTw/mIdLDpEdPVp7m01pt5IRkKWNbOWKNb6
lx0NpJpyjRkZOapoNMKxCnx9+Y5yh2OQX700d02GjtNeAztM5M+gDdpHtM0AXtJhAPtPJhGNMdxd+I3WD+Nxpv6NfK8dOo+XuIDBPuN+J6hOEJZNMppYhNiRNNPiRkaClpMtNtKCwHlp30iVpKtOBAatKUhy9O3hOe1WxMjyTphAFgJygHkeP0XHEO2MdAWpUjwA0J/h8VMlBq0AFCxAG3IN1I8JAUFy+2AA0AgQARCHAm9RbFM8hHFKaoth2SAl
0ElsEqDpmJzhmAtoS1KbsTBA2tUAcGcgzk8mOEpjzjikCQEfwVQh2MT9KCGBDIMu6+0MupDJGKYkkMgbhjT+lmMDp9z2np+BAuQPx3dhzRMGSeIAYgQgE7AEAEQA6wDWAqMJJsoIklpYgCmAlwAQA8pDVAtpS3Av9NkZpwj3puEPIw8wGx2SQD04x2RMhAgHcAFQDuoaUDAASQBfAjOIr+fyNXKOJLHavlQGhzmPFpxLw4AYwC5MAwBgAvGILpvw
KLpfqM0MbRCiYxjDd0NoCN8PrSzkkRCiKYgmdyELRwJCS3wJB6IdAILTi4GoBOw6Yxpkb4mTMl0BJ8VoDDcy1HlIrEH94cv2wRNWQsxlyJeJkK3PmRy3NEFrA+JwSJRORlHOg0TItM74mK4mbzMpS9PQAgABIxwAADC0nVUAIAAfwcAAJ6uAAF3HUAIAAZzsAAJ02AAH3bw8SAZWme0zumX0yhmaMykPMEBLXBvSbYInAvvr+0y6lURskRosJmZ0
zemQMyRmWMzUSXvCsogUg/VnABOMZ6BpwDUjdNlXwH6rDiMZHFIbSFPi1khaAwWuqx/eHrJHnDWgXNBaIInNPgsEeJTR0MF1AaY1TTaZcJY0S9iYgm/RzJkPj2KeWZrVAwz+mOASFsZqTMKBtprQBsitHJ7wAUadT+sA2B00rvZgMhCseJCaS1VgLQusTPVbeiAZD4A58AYaTT86PMzArJPDlmVGCITOsyZuqThy8bF9K8WipQFD8B8AICAYAGMB
lwdrAycZiEVOIEyqhD14LqQeQiVPcgtwMUpDsGtAPmckAFWeF0ZgL8yPnGGEfig1TlcWDiElmCz4UaEd/4VCzECVAzYWRkl4WQNDHttjS8Fo1N2MKdDealiyy9gOghvATUNEiz0CWc3IqiCaTLkjsY/QbulKWV8SQMYvTayXSyEAAszqaUsyBQMyyPkhsypeByztUXF9wAITBtgHAA4AGiBYkNwAkINAAiwJkA/ggxgegAwBCAAgAKAGUswoXgTS
MBWz9gMXQRAMERl6hkA0QEriQJNWyvaXjA62YfQpPsCgwWc2za2WcB9AMCBX7qfVu2a2ze2Q2zqGijQh2dkA22aOz4seVQJ2SvVe2UnB0DnOy22YeAAlsuze2fRZ6WpB512RkBN2S88d2XWjE8eBp6WVWzsADWzh2fWyogCJRt8QSAuVCEAZ/AezngOsAb2WwA72TUcWkF7TX2aezz2ZOze2S+zVYEmRrgUEQvvriBsAASAUQPmoZOFqBC4FTAN1
FJ1WEJrRQOeBz8AJytJzLKo7QF3AtNE35lRN+YsQfCA0AAUhykr4AZQO15G8gezF2bg5cQLl9AvlWzowCQAP9AVA0JPRyzgA5w1lExziAKPMNgE+zylsEByHOxyVsAUgPgD6APEAGAAqGJzgrinAOMbq5++M8Ai8HJzwkPkI52dOyEAKuzzYJwAegke0U4APA00LUBM2XyAsgDxyToMBlsAEQBWOVzSM0LmyNgfyAE4OWh6Uv8R+QJoAKOtUA55h
mhZSWwAuORmhjElbJtgNUBCAIwBMQT6A9OVkMwgMEBfOWUgnYLwzE4HWi6CHZ81JLq48QFOBfOf5ysQTFZSCLJBwAG/wntuEBM2VRAKIEAA=
```
%%

View File

@@ -0,0 +1,29 @@
---
kanban-plugin: board
---
##
##
##
##
%% kanban:settings
```
{"kanban-plugin":"board","list-collapse":[false,false,false,false]}
```
%%

View File

@@ -0,0 +1,6 @@
---
kanban-plugin: board
---