Guillaume Ramelet commited on
Commit
a8422a8
1 Parent(s): a1499e0

recommit after lfs instalm

Browse files
.gitattributes CHANGED
@@ -6,6 +6,7 @@
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  *.gz filter=lfs diff=lfs merge=lfs -text
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  *.h5 filter=lfs diff=lfs merge=lfs -text
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  *.joblib filter=lfs diff=lfs merge=lfs -text
 
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  *.lfs.* filter=lfs diff=lfs merge=lfs -text
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  *.mlmodel filter=lfs diff=lfs merge=lfs -text
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  *.model filter=lfs diff=lfs merge=lfs -text
@@ -31,3 +32,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
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  *.gz filter=lfs diff=lfs merge=lfs -text
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  *.h5 filter=lfs diff=lfs merge=lfs -text
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  *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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  *.lfs.* filter=lfs diff=lfs merge=lfs -text
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  *.mlmodel filter=lfs diff=lfs merge=lfs -text
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  *.model filter=lfs diff=lfs merge=lfs -text
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ cheese.jpg filter=lfs diff=lfs merge=lfs -text
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+ cheese[[:space:]]raclette.jpg filter=lfs diff=lfs merge=lfs -text
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+ cheese[[:space:]]roquefort.jpg filter=lfs diff=lfs merge=lfs -text
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+ cheese[[:space:]]saint-nectaire.jpg filter=lfs diff=lfs merge=lfs -text
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+ cheese[[:space:]]brocciu.jpg filter=lfs diff=lfs merge=lfs -text
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+ cheese[[:space:]]camembert.jpg filter=lfs diff=lfs merge=lfs -text
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+ cheese[[:space:]]comté.jpg filter=lfs diff=lfs merge=lfs -text
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+ cheese[[:space:]]époisse.jpg filter=lfs diff=lfs merge=lfs -text
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+ cheese[[:space:]]mont[[:space:]]d'or.jpg filter=lfs diff=lfs merge=lfs -text
.gitignore ADDED
@@ -0,0 +1,2 @@
 
 
 
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+ cheeses/
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+ .ipynb_checkpoints/
app.ipynb ADDED
@@ -0,0 +1,287 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "id": "8a2b1384-dff1-41f7-ad15-96c078323ef8",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "#|default_exp app"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "id": "268434d5-2600-4640-9084-555b1ff21ffb",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "#|export\n",
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+ "from fastai.vision.all import *\n",
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+ "import gradio as gr\n",
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+ "\n",
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+ "def is_cat(x): return x[0].isupper()"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "ff69b739-4462-4f17-83e8-0b3dcf10dd62",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": []
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 3,
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+ "id": "112ad7f2-a3fd-45cb-a6b1-04f520c9ff1a",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "image/png": 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AY9XIlkPkGAERSQILgwgHjiIIAswSAnsXSJFSXdQLAMAQ2sAgWgN459q2cd5pRTgc5Ik1ITYUozZF1k+F+d27N0SU2FTXdb1ZM0cRQSAEZIm1phijcFCkGcQ5Hzm2Liilup0jeF9uur06VGXdujbE0LZtCAEBA3NkoR/SeCIghCSx/cSMC1MU+0Uvs9YmVhujDRESCSIpQiIA1Fp3CXzdNoaKm5uz1bKHiI0rQ2DXxOVyNRgWTdOCsLUaAGIIwXsRIcIQI4ESYRYPIgA6eiYkQHTOEZHVGgkjgJfIIkgIrBTZiEERalI2zRgYSDAarQ0ARubEKpOYxrvgnAC4trWK8jzL8zzPi16vyItEKU2I3c27tmm2W9e6qqmbuqrKcrtt1stqPl+X27Ju2qppXQgCmOoEAZTSRnfIPqVZbkwCSmdZZgCRMM0Lp5OWmk3b+LPLi4tLiF4bChw/gskgGDkELyIhRBFuXOywRQRQpBm1ImW0cc4575FIKY2EwAwiIpFBAktgtqCTxApAZNYiwAFFIYF2ddgst1XpVqsVMyulBbee2TvnvTfGKG1ERDgKRBAOPmCXnYmQIg5eBBAxxCAxStOydCk3s0QgyDRRkhhtSIHWylqrlTLWGpNqpYhAgYTgYxRlFBG6pomNqxkAIYp4DsGzRAghdISMA9UGblt3cn5TV1XT1CIUAwMyo4jfGKU4BpDQ+hAjaW2U7nZlSlNjE62U0iqxGWmrrTWIhAAWUBEFYFBKG0WkECwpCwjKoDK2i0Kca4N3H/OlDidVyBI6CBgRCVV3EHXAz83FoqzK7WZbVVVd11VdO+diiN47EaXIABKhzrPRzu6RSZS1KSillMmSRGuttO5QCRbusIm29UrpEMVYUwz6AhJCWC7mBGCJJEZAYABSBCKudR0e2F2KKEjosANjjFIKPpIjHJnrphZAQgwxxBizJKvKsq5rjrGuKiIeTcZlVYmIblr373/9rdEKEYWFiMqqbduGI4tIBPGhC8FcDByAooghtFpbrawRY02SWKON1soAEBEiaa1MYoiAiFSHcJAGBiSCABCiiBCx0gIiIltEAhCQSCDOOeexIyGDD8zRRw7MbTeL24CARuuP4Irqokqc7h2dXd8EF8ejyWxvfzLtCzitkzxLsyTRGhFA/ZAcK1KkkBSAQGQG6dKvjygRALimZeZEKWW0tVaRQTSojRcvFEkbiZEEMtKQJt2M6aAp72Jw3ntf13XTttWm3m7Lpqmrsmrapq1b6FBwRTZJtDV5nven/SzLrU3yokiS1FiVJok2WkAQiZljjPIDgmW0QYIoHZUERDr4uF6vq7rabltAVEp/+vRhL89AuMMVSVulFBHFGJlZfqDkjDFEqqOgu0kDEH/gSEGg43hYBDhGH5q2qTlEdr5tmk1ZFb1eVuSklSbCrEgRBESIFCnK+inRGBBAQCudKKO0NkYTkahoErJGZ3maWmtVrpVVWimllFbdDWmttVKktRA6762xSiukjmSUbs8EIQHUSnVwEXMEEJRICMwRSAEQR/E+CKAP7IMvq3pblcCMwGmaHezvIaJVmKWmbqq2rb/62edWK62SsqxsopPMgKIQPCEKR+BAMdR17Vxb+SAgrQt11SqlstwWWc+oJMTgfciyFDQBkNI67ZB0JESK7DQ4joFd7b2PgYOPwfmqqsuybNu2LLfr1dY3znkfY+QYldJGmzzP+lk+GY5MnmRZnmVZlmcdjauVIqUQQBnV7VaRGZV3wYFgjEE4CDMQhhhFxHVUT7ckkQAVCKQqpIOEQZq2Xa3mlxTqfqEItVZoEiCtiABJhJl9iJ4jp1maJKmh9OMy6rhXCd233c1z7PiY6J2L3KHwzCGuq3XdhOFsnPULJNRZmvwf/ukfaQUxBERSClFJlw4LCymlyBCh0hoBSSUxAhKgQlRIGLvdW5hNkoCmGCMhaaMJCAIKAsjHd4vMP2gAAIBBGBFZRARBNAIwq+iDUhoUIBEKAWYipEgrrSOzTRPhsLi5ijHs7k2Zxbumbsrl4to5P5+XCnCzKaP/4chHEmEU5hi6eItjJK0UKVQqRghB8jzPkn5S5MrqBKnbEnPSMcbgvWub2LAAB8/let3Um7Yqm7Kpm7Zxbls1Te04EMdobHcKxDS3k8FAEWmtjVF5lmutrbWkVETrYyybelNVAFE4pElCihQpZQxpAwwhcowMxCABQQiZQLROAQgRg4gA+9iyCKFiAYigSGmtgYiEEySMMbStB0gSY5XRBAq7tA7QpAAZgHTUGLAHiYgoAMCCwoAILAQCKFqjUQYSQ/0cQRmVoNZEKnC4uZnv7OwMRiNE1ACgFSSagkAINTNAJKU0IShSIMAhRgAWICKJbRexEwEiMAggEFHkqOu2e7Ebtg6wDhyc88EHgo4gdB0GxNwisSIl3YiJSIQYhRlFkMUjojALoAAKakRs2kZE0iRxTcsAH95fVHVVl9sQQ4ziI9d1S6SZ43g4AGGtyBiVZ5lJEmNUkhhF2pjEGmOsVlqT1iJS12XT1vPrCxDwMSICA/gmiMBms21bH4O0ETbrzcXZeV1VEjoWj5TWWin84ZhD1EAayZQeHDBABPFKK1q13getVYwSAkmXzRBarYzWAJtOswEIkTkE38kcbJJ7H9q2Vgqcay/nS2AI3hOAIupiWkWEgkSYZjbPMqW00mq5WkXh7szSWhudJNYSoTbKWFPkRVEUpMhoYxOLRhtriEg+pjLSQZdKKWMUgSitjTEICCCBPQVh5Kqqq20Zx+NqsxERzTGevP+gkaP3CCKAQahDIJhFWGLHwhOxiHeBhLQmpVCEO/FIp5py3kfGj1FYjCwco3SxHjNz9EWeMXNdO2YJHD8yzwLee/iodxFmiTGi4r8Tn7FwYlMiFBZATNLEWGu0tsYiIEgYjobDfr/1zWwyzfK0mxtGmyQxJlFIBEKRY/Axer8tN2VZikjTxKppm7pChYQw6A0Sm7YubrbV8fsP3zx/GSPGEEkpra3RGgGsManN0tT0+2meZUVR5HlOWukkSdOk46qMUYiAREZrrbVNEhBh5jRNmaX1joWNUcxBK01ALNyFJoqIEIL3Sus8z1jA+1hVddO0MbDO88AMzDEE76NznkWi9xwjc4ixFpEsz4fDYb/IlGIQ/EEBJ4iIQEqZLM27FFBr3bG4QkRKCQszEyESGKOV0h/T+i53R/A+snfR+xDY+7BYLFxw0VddcqCR1OTwXmZ1F3YBR2Jhjt6HGLu3QOd97ZqyrPp5j0SF6AGi0urjqYQd+FsxQPDBhwgQCQCVaKXStBARRDGaANDaJAQB0qg6OrbTdgEAGE0dF0sq6ahbIiIEQ6CNISStFVmLWmskDRS8O377Zrm8IeV3xn1AcG27XtWtcyEykVptq+Vy413gCMKoABh8nmXM2LZeG7W3tzMeTjo1xfH7d/P5OjBmWe9nP/lZryjSNDMm0cYkhekVRWqt7eQECrUyxhprLRAGZlIoDCyM8lGI+Xeyve4RESIpEgjMHDk43xB03Bd20TdCB5FpRGzbOkTvQyjLKgS2STbMNHQBMGhFFLkBkcRaq421FrHbcZQiVMbopNtFOiFNlyR2eozoXO29a51zbYgxRkYWCSHEGESAIwN+jIYiBxaQj/JLxhCjdyzc1DUL7+7ttU1LiEioEbHoWYUSXESQKF7EAyKqQNjxoWASUImxaa5QgyApKxKVIgYARK0VAKKM4WN2IB8FaAKdmrET/TAHENLagCCaiMidfjSG4B0FLyIQfAwxNmXpfRAQ7zxzcK5C7CJ1qhrHgEmSxBibtkVWwsA3NeMCSUGIMcS81w9MSqmiv9cb7CFimqapScvVlqUaDAdVGeq6nUwGMYZtua3rMkg8vHP481/+Ynd/v9frWxVd2xAqRGIRRiAkEO5kaF0aIx8VgCikhTvg0HRneKcNiyHGGDu82znnGp8lCSoliAZEWAg0ADAzGRM4BvFkFQAopRkYQIqi6KR72MYQuKyr1XrdNM1mtZ3fLPq9XvBeOAjEyBERFZKyxqRJYpM0TXu9Xt5P+4NeUfQ6qk59ZCljVW1Wy9VqXUZma63WWiudpLlWmpTSiVK6r43RWiGSUqRJEaAAn55+mM9v9g7uWZt20KAG4bC+0onSHLUiJo4dlagwAHjnpAvTURQEhNjlgQjIUbxEZmxEWCQy+5pDCKTIey9AjYtVXRGRiAQfAIRFQuQYIgiJdNoFFBZjUVgQdGJybYxJlDaKELVWSZLned7hk500W0ALgkmM1sYYRooAHSehIfrNer3elP3RqOgNUttDQhEOwbm2XWcU2WqtmqZera7aZpllyWQ6+uThQdbLjNFA6Jubm/pKG0UARAoYIguRAelY5MghBB+8953cNooAqW7hMLNEjIwxhCixU2nGGBCxquvFfMERtDb9QY9jbNt2tdwwCxLEEFvvYifQlMgsSBaBRCISEFFiTJblJkm0sT6w6WW3xwNmaavWta51MbSuKivvWx83nWahuyMgUZqstf1+MZ1NBoNelqXW2CRNer3evftHRa/I0sRqzcLBhfV6XZalBG5c5Xxo27auq7ppYuC6biIHrfVoPP7133796tXrzWYjIvi/+gd//hePZ9YobU2aZSJilXbOdegqR++jU0SkMAZPREZpTaRAIWLECGhAtI++qrfCaVnWqHQx6Od54Vkix6quAeCjykciKmWsTYzNksSHoJViESK21jZ1A4IiooyyRpNCpUhrzRwB0BhNpKibKICRozAHjs61EpkQOYToYwjh8voaCCezWZ73lNLGGuec1hrQBB+C85fn52fnp2lutUKlkZSQaMROHygi4mPEDrABYBYAxSIg4kMAEQWojbbGpmlqrDVpkmWZ1lqR0omiLkAE0VoRpgAEIiFGRGx8cG3bieOMta711loRqapquy2bukUErXV3ihDJR1U0AFEU4Ri4bZ3zXkAiszByBGYGgBCic9770Drvgu/gnuCDgAACR0FU3gcCIULnXQwxBJ/n2d7uTCkZjfpHh/sHe3tGG61U0zSCCESEoJRilhgDIhltAFSIHJhJEQIqRVppdeuTJ0qpLB/aJBeJSgUiAhQCRIToPaAgggjjDwp5BEABpsgsHMA37Wa9qbd+MqFtWfvIZ2eXomU6m+7t7XQaLAD0IVRNI4JA1IS4mK+I0Lm22rgQYtPUzjej4dAkCYAMBoVJjFYKmMeTibVZ07ZNs7VJorTebjaXV5ebsnbOI6A1mkNMTMoCddPmRX723RttaTwaZVkuwk3rkKwi5VunlUp7o2evXqxW6+A7BtHobn8XFkCQaLQyWhOgNZYE29aJsPdeQBDRJkmeZ1oZMpAWSZEXSZIkSVIUWZpaY3SSWKUwzUKSWKWUsZRm2UBp+Cj9BgDogjyOcTIdMHPTtBxZKdLGxBhb1xhtksSKgNZp07TON8YoEEZFXcGJ0dYmSZf5IhKRFu4SZIoxeO+7ohFmUEo759l5InKu3W63i/ncEA7HQ4HIJNZo1/i6aUUkSZJOQ8+AMQQEdG2riIA5+GCMLXo9572I+OC0Uuru46MszYkypbMY4eTk3Ww8LYoMgBFJAQmKCCOIIAAAc0SJKBwkMsfo43a1DUJJFkkpvp6TMuO9sY+RmZGoaVvvfdO6qm4ZungzZllhTC7Aw0nv1u2B1spabaxSWiGqED0CkELvW4kxSdM8SzNIEUfKKK31rkzvPbrjus/wQViC95EFkHzrrLXUXQqNtqQICQVi8KGrAwGOv/j5E+9i20YRAgjaqv8MqI1aKQKUGEOIjfOtawFAhJ2LjZNumIMPTdtEZmPMRyDVWEAtoFxgJSRtzRC0McYYaUXRx6iiw3+9527DU0ohgrUUIgfvYuuBkIVdcAzMLCjcNm2amqqqmePuzpSBmVkpCaH2wQMQoiKijreRv7sAvI/bbVVXTQhBQoQfio2SxCok59skTYjQR2Ykkxrn/HAyzfOsIxJYJHiPggTIIjH4m/m8bZv+YNC9jxYRX9WGhaVN0qBMCgF949kalkCkQVtEJKWZY5eUCkeQwByFqeN90jx/9uL48mJ1eHiwqv0nj24HHxbXy/VqQdTOZjPLfjpLBqPJzXx1dTWf7o6TJD9+c4ok/dFwPBpUZe2ZP7w7d85PZrPdnV3vWxAwtgi+NTZL8wEg+OAF2EdAIkAiZK01I0XvJWDtmugjiEAMiTFgCVEF79EjEgX2CBAFDBGipBb6RWqMZYa6qUhRJ+lXSqGxxloUCN4TIinVyRs6OBhRGWM70aYi1VGNSilCEgUfd+uuOEMoRiHsEkcioK5Co8M+hOGj2BRFBKgr1WER4Y/VQQAAEiOLExS0Njk5eS8iO5MJAHcSUCBApUSwy5Zi8CCxA1ERIAqG2DFcAogfq4Kk09EqoC7NBUIEAcFOufCDjoQ/3g4CsKiuCEsgqLxYLxfD4SBJExDQwYdv/vY7qylGcC6mWa+qvTF6OOrHGAQIlGFhJLCJSW0iMSCz1UAoQFp1KwrtxcXi7HR7cPQgSeT9yXUI/O74/e7u9N6D+xcXVx9OTz77/LN15X7z9bP5YvWZ+nQ2M2cX58Ph4MOHdrPc3Dq6RcpWWfzm9fevXl0Wxdud/dm2XO/v7Z6fn1tjjo4OJuOxc23TNom1aZZv1pu2qWbTqSJSRE2Lie0lfZsYKyJaIaBv2qbLidIkzajfcb1aa9IQIcTIgQgQbVIAKOc6aFhnRd8kFql7xMoACEsIwbXO+SZGF1wTGAnAe09dnRszYuzgRAAB0AhESqwGjgwCwBw6YktERLrQCpEJO3VsAGQA9N577yNHpVUI3nvvWh+bKBGI1OmHUxGwACIBMBqLaZbYNO3kCURI0ElQUClCAAJRGgkJkQAAFHUQf2SJEUR1GnMEhi5TRkCRKCwI2JV9dZm2Up1CG2Lg6NpUAYQm1B4ANCD2+8M8TbW2XYxW9NIYQvC1UgpQORfrtt1UVVWXw0F/WGSEsZ9ZReCZY/DRhUhm2B/c2KautjZVm7IKUT168nle2GI4HAbO+kOTFd9//7w3HP3Df/xPXr9+dXF1M5mO79+7BwDbzWaxLqNfFUXx9Mkjx6S0UpYmu+N+r5f1BuvVigUFKEautuU6rHZ390eDsUvzum4Xy8VoNGrbtm6q/f29CBSCF4HxbDacFEBaWatVQjrFbq5phYDsPYdIhEQIBEAIgB1tpAQQIULHBisCFuGUKAMUgRA5uCa4NrRNXa6rqmw2ZblatvUGmEkRUJeAAUckog5i8cEzEinVpe4heESIIQAAsLAAoYocgw8xRhGOHGLspqz3jYuROUbnvdHq5ZuXWpNIJAWpNUWaFXmeFWmep0igtFKKOmiIELstjoi6hK4D04Q/FoJ1FWEAAEgBAZglehAGBYyCqJghBgZWzMAxRhc26zVpvL68RkSllObIxyenClApg4DamiRTpFSMURHZNDNZrtNe60MI0sv7t+8cJglmKWmFWiV1WXH0ZRM2L9/t7u2wwGpTuhBu3do/uHXbWs0c9/YTYy2S1E0JgCHWp6cfsiz76c9+Vm23V1dX7z6c7ezMjMaIsYmNNdlkOjw42keNp6fn1ibT6RQ4dHpZREyS7OTkw+H+ESpYLJbn5xdXl9fT2az14fJ6mRcFEW0223UT+uNJWoyyfqGSNATtmxCiR0VJkmE0ClRmlCXSiEorBGFiQghdDSsjCnKAiLGrDfihpkSRzW1aWKX7GHWIvg7zi8vvvv7t61fP6u06xkrY+daxKAEIPiJBjNKG/2wDigFiCDF65iiRyEaPLFEYujNEaVKkiEgAAgeliJTSSiPC2aLTL2AIHH3EGLuDx1hDCpQFrZTRRmmFHfKoFMeIiFqpj9kVAgAQGQDoJjtpHQSZAwcPwiGyjywiXdor7KrNOk2Tg7397XZ7en5urE3T1HmnAQQRrDExQogh1tI26EMwWtvEurbUSUuoeqneGe0miaq3y7aUJlFKI4gGjoTStM75elP6wXh4sHvHx3ayMzapWizXlxdXeZ7t7s4A4MH9h5PpZLGYf/bZk7KsY4yb7fbdu3dHd+/tH+wjcJbY5WK+3ZSL5U1WJMqab775Ngbc39vp5RkCMHOW5U3tmtq9eXucplZEptOZMcZ5D4DMkqVZCNFqPemlTbl68fJV3cbxzp4t+qvValtXg+Hw9r37/eEQUK6Xq9OT96uLxe50ZzIZ93rZZrsZzqbamuFgnGcFEQWRAH+XPIkCqFu/aZpN67qKCwww6hWf/eGf/fxP/kyLa6pFs15E54GbGMNHAQJiYGBm732MUaJAxK5cxfkQOXJk3x1ZrYvhI7TdRUvb2nkfOMambbwPwux99I7FYmT2HyXP0TEAE7fAHAFZJCRFVjdVVVbdzNWGhGMIkTl+ZCEBiKhtGo4xtTbL0sSaXpYnFotUD0fDLEt7vSJLdIxu2B8MBwNF1AbfEUqdSEMd7MwSa2KUGBjhoyoIEAiRUUijJqWQEBpf+XrtuhM8MgMpqzGEVhTZRN3Mz01SlG37+NMH9x/cvV7M37x5I6wm08nbt++EcTQcXF8vqmq7Xm86PevObFbkhYtttVkS0OYmNE2b5gaAjt+dAKrlYnP//oPbt2+fn31Yr1fDfh+E8ryYTCAEThLLHLsi6LIs09QoRSRxkCcQXd26pmmL1IZq5eZXWG3CZmNBZtNBffp68z40TVNut9ZaC2G7Omu319c38/V6Mxr0iVQbws7+wf2HnwzHk+F0bFIbRRbb8vhidXG9LNvoGQODRIlta/CUQ9nP4sO7+/du7e3vPajX23p+GUPbQamIqDQSqR+yboyRrTGE2AVY3fT8GBFx7FSLXc4UI8T4sQ5TgLtyMxHsiuljjMzg2hAj+8CRBRFBxAff7T3eOwAEhCDOWguiYoQY2bmqw2ViiIhS9JJeL0ttYq2yRidGGUOkUICZFYjarreaqF8U1KUhLICgiXA0HVmtQojhh1oBUiQsMTIQkNHWmq72jzkFFGsSJOU9CyASE0AUef/hYjjoBe8RlHOurLbleuubWpi2y82bl285yqPHD8utlOWm1+u71n337TcHB3uj0bgsfVlui6IYDAZ5kQExAi7m88VyfbCz+/DenVcvX79582YyGRwdHCLo1WpF2mjkEEUb3RsUrWuzIrNGzWbjstosVwvv481yHUJEgKxXEKKgXFxcn3w4JaI7tw/bug51UyRpUfRcaLRWzFhVZfD+0Sd3jo9PLs5XBPrFd98OhsUnT54e3r632GzfX8xbM2jJeEh80BKjgRpg7eIaJd5sytW3l7/+W7m1u//TL748evCZqzaLy3NuqiJPQCNAEBBFKvrYNluJibUJCNZlIwCUKGuU1sKCDEwsnRAMMSr6SLOxCOHHc44QhQHZACAXtouuWAQxdhA8RwGGLh5yzrngB5NxVvTZA4mAtAIRQTpxUle51XF4HAWBog8SRCSKYIzSbFf9XtE2jsuoqCvYZa203t3fMwqNsR1IIMxt2zRN28mW5AfkIPjg2SMpson3TFrt7c26PdA5d35+DRwU4snxSYi+quumaozSoDBL9O/94ivvYojO+2Y6HedZ75uvv00So7Vq2/rt2+O2dXfuHOV5GoIPMYDIcDQUgNlsGnw1HPZms508T8qqXiw285ubW7duWZssl6uiP0rSJM2S77578fXvnn325ZOf/vSLD+c3x8fHk9HEWlvV9fTOneFw8O3336+2my9/9GMgCRwYiQGGoxEANK3UrqmqajTsyaBoo3v77v38eptlSZ6qjOLJ868v3r6o6rY3GEUmlRao8swUiU0ilU4tPZdVHc8vNlXpgOnFd1f/4T989/De0R/+8hd39z85e/vmt7/6nU1p0E9mk5HVAQS0zUMEZAo+BGYQ8FVsAVDEaEUKQ4ydnpNQYuyS8y4GQ4IuxyJCAoOAoEREQDFpwI8GGSEicARGgNRaQm7b2je1IpIgEiOHOgQXY5cdRulqLDvNcoCOpWcWHwMKV2VTlu1g0EOMbWc2EmOMUQMAkUrTtANJAQGI0Bib90QEiYxSnbASAEIErY1WdrVaE6k863uOLkQfndb6zp2jJBm++be/ynu9umqtUTs70/sP77Rtvd1uQsAQPJJobWNk51pri93dPefaqqqstf1+f73ZLuY3XbF9WdVpktT1VhnfH/St1U3jlst1uS1Ho1EIoSzL9XrV7+cAYIxtGvf67cXzNydV67TG/mi6t79LSGdnZxcXF01bW6t++rPPmWVvbwJA220929lJ0nS73bbOubZWinZ2ppPpaLWsiqLnXdzZG9y7f3t+tXp3/CaxySDTPRup3laL6+3Wjaa7Os+rerVzsPvuvHn35nK+ij6KcCAlaUJltfxwfvLk4eOvfvyzL3/vT189/+7Xv/ltu1ntjIfT8XA86+dZSiggoWkr7x0LMSMHIBBtTTdCznthqKqq0y/HEEmRCBBQJ+0DY4GFOQJiV2MqAt67EAJLUIqEIcuzXq83X9z0+j1j0+2mXK/WbVP6HzTSMXLTtCGEEHyMHGLw0QODJmVMQiCJyQDNdlttqk0VfYyx4+p1jPHy4joxOsYYYxRAH0NnMMXMpD5WADKzVsp5joH7gwEIaaMZ4mLbZP3h3nRX2fezKbWt/MEf/Ozyevm7r3+HwA8f3i/yxFhjbWITyPNRN8ObqlFKr9fr09PTs7PT1XL16ZNP8zybTidGq8ViPRz2il4vOBfYr1fVb149326ar37v58F7ziXPcxGZz+eIYhPdts18vtDKfv75k9nOOEuS9yfHwnJrb5foowPQZr2d7e50wYdSyvnIABdXV8PRsDNp6Kjv7baezxdl2XzyyX1jaLYzUUq9eX/VejoYztjXDUeV5Jbp3u1d1KaqmotX73SAH33yJJXe8YfzVblKCqsTpbRSGoXd189/8+Lt9w/vP/i9H3/15U9+/Ntf//rd6xcXy+WqmiMDgmTG7OxP+6NB1rHFiMIQI3MU51rvQwi6aH2M7IN3bRs8N20TA7u2qWrfemjbllliCI5jAATAGGKM3LZNF4FppfNejop7RW9nOnv16s3NctU2LSJyBBFpm3ZTVl1wzRwDB21w0Ct2JpPpYGSNTvJiuXI3Pq6blnWCGj8SO//0n/yj//P/8X+TpykzhxA6H6cQY8eWdX43HZ3ZaexjFCLSyiIqk6SUDnfv3E8V/ot//n8z7JvWgTLL1VbbxGizWq2tSQf94e7hbhS/3W4BSGtTbauy3Bqj79y5HYJ/9ux127ZtW3/65HHw4c2b4xgjQFSERX+Q2OL1q+OqrG7fPVyvVyAwnc7SNE2z1FpjLXnvtpvq9PQKhPcPdgVCXTf9YpjmKRG2riVEIm2s9cGJSJH30iyr6sZ5V1WVDyE1KrWJMXa5WFtrpzvDLEuO377tDXpVWf/219/fv3/vq69+UtdrF8K2qRPUg15/XZbBx5vrG4Ew3ZsulsuyCjpNW6mvlvPlaotgq7pufWtSQwiZNo8ePv3Zj3+uEebzq7wori+u2m39/s27xOphYYe95MHDo2KUaqtJQGlNHws+NPydPZwgIDEzM3DsIg7+YeA5cleEA8ELi3jnmqYVYRBQWmX9FFnEx9bHNobNpmqqpm19WVbOh6pp6qqKMdZ1vS0biTIaFAc749EwH45HF9fzv/nbZxEMC3D0SiEAaa3wf/2P/pv/0//2T7LUZmkGCBKCImk52DQjAQBsvVdK2cR677wmBLNdN0V/5+jug/54RDY7reX84sP5r/91LpVEIGVIW9AUYnz23fHp6cXjxw9v3dnPez0k8hFCYPahyPOiVySp3W43MSAzAMSq3C7m8/VyzeyKIlPaDPqj+XL18sXrPM/uPzjy3lmbWpu2bUukgwtt02iNAFCWlTa0t7cHghcXV87H8XTU7+cCXgRd69vStd5po/OihwTbsnRtKHq9pqmqal1k+Xg8SdN0Mpk2vnnz9v3z754PB72dnUlbOyR6+vTTui6VouVy7eo2SbIsK1rXOF9rrXd2ps9fPL+ZL4fjsQ/tcDzqDfrv3l3czJfL7ZJ6CjPIbLK8KsHpQT4Yjyc7+/uHh7NbR3vj0VijdmV49vW35fp6vboaD7NekQr4NE2VMoZQa1SGtFGdols6KYxSnWmLUsboFFF30w2RAIhIAXKIPsYIgForBAreq4/+IsICzEzSiaIxYucCxcwcIwMDM7vWbdYrBih6fQD0IfoQUYJCVFpppbUP4euvv9OEAECKOERh0okNwgoRhUgnQGgTm+Z5FNbG7hzcPvzkSTKZnFfx9P35h20roY5edka90IbFYjXZ2y/6/RBCUVx6107GQyK4vLrM82Iy2W09D3cGeZGPRsMsT0Pwdev6vX7w8V//y3/1m999M+oVR0f76/UqBkHQg2F++85BnhVHt+5U5fbdu2Pm1Xg8aZo2T7P1ar3ZNP1+kRdp69rlYgVIy9Xq2bPnP/7pl58++f3FYv72zfu2aTWCTWyWZSHUw/EwRLdeb0jhYJAN+lmSpHVdO+/SLOkNRrdv3dakEQKzz7LJmzdvvv3ue2t1jLy8WRljksSORk5ppbXOsqzXG/zoy5/87d/8VolybbM4u6mX5f54fGtnRxRs4/bDzQcBbDNqqIpZ3OJmcfLi7bUZvB8NRztHR4eH+/uf/8kTy+mHNx9OXj2bLxdtu5UYy7JZXW0VIipBYkWQKrKJtalNsyzNUk1KaZOnWZbllKLJlDGJsYkiBcoAKiJklhi8MMYQlVY/uGxBDNF0M7JTPAEjCIJo1ZmhmTRNI4vzrigKY0yndgeCjjwRZq2UOji6pRUys/dBIretE0RpWxdD9LxdVpuyDCL3Hjx8/Oizz774yeBwf+H983fn7xfeNexNkhETWSSyiV5vPkz3VX8wrsvtcND/xVc/adsKN2FbVijoei5J8vFkMhyP8jwT4Fhz5apU0sVq9ezFyyggEu/fe/D69ZvttmrbFjUjyenZh6puHj9+lGX5dlt5zyJQNe14OiGF1uqqqhhwW9eIhAr/8I//YDobeeeCD5cXN03TPH1yryh62mhUNBj0sjwdDsd1U2eZEYYYoT8Ybrfb1Xr77uT8wcMH+/vT7WadpiMOuq7bovB37tz57W9+17bx3v4Bi9/Um9lkmqWpUur58+cxxvnNvG3c/Xv3rTbldjM/vyj6PZUYTXGicyEqds34aDA6SD00wrr1/vjk8uz81V+/+t2Du7d3R7s92/vyyRd//PQfvX9x/M1v/ub185f9bJD1E6uRUCaTAYhQd7JpskZpZYxWIfh1WV8tlpvtEiT0+oMszfOiMFmubZIkibGWCIVRadXVh0Hnv8NcIxKifCzb4S5m6hApYRSAuq69ay+bJrFJkiSkCLUi1WFRrJVSTz9/lCb2oxQVGJVktiBKlpvq5MPFxflV7YPt9X/61e/dvf+0BfP95dXb6/m68S1ojdqxKA4pEmmlUad57/zy6ujOveffvZgvbsbj4eHRgXO+Nxgtl+vgfFXOf/Pb333y6NHR4cFqtQSEw1tH1brarjefP30SP3mQammde3d8en19M5oM7j+4s7+317YtESql9vYOlJobnQRfLVfLvf3d/qAfog8cNtsqTbMkMUU/BxBrsqbxiKoo8tFoSKCYYbnc9Pq95WpbVfXbN+8Pj46Gg95qs91sqslkcnB4dHNzY5N0tVr5tlovq4t6GSPfunXbuXa5XH32+eeL5cq5pihybiDLi7rcAkCapoj46Mknm9W2bZvlfDHsDRzj69dvx5NplprJcHj34UO2svBXQjXZJJJVnDwZjVfr9uJ0sVm35xff7M4m7+bvptnuT5/89Od/9vfuPHx8c7b68P7VYn4JMewc7R0dHjQAO7s7w34hHLxrFDEC+hBFIDQtdTpkIaW0ShRp/GgyC9Al7wCiNIGw7sSm9JEO0yyI0Bl5dSqAwEFE0jSTyMG5lhsQMcYAe0DQWjGLFpHl4qbI08Ggx4hBIkc8e/v+1fMP81WdFn0GuH3/4R/86Z/rtDhfrd9c3VyUTS06SooQEGPbuPevvn+iHWAPldrZ3Z2v1n/1V391cX6qFM1vbrSiLO/VzTZJUxC+OD9//+Z4s1g9L3If3HA4OH3/oa7rt2/enLw/fvzok5/95Mtnz15dXV8P+oOqapbLbYh+PByy4Hq1ms+XX3/9zWg0nk4nSqnNZj0c9dM0vX//vtzT3gfmoDRdnp+fnl4CsIhTGvf2ZgrImPT4u5dZkT16/MjoJM97rvUoOs/6WqdJktVNq429NdsB4O++Obm6WFal224XOztTAKnryibm3v27qw2/fns8Gs68Z2ttkiTj8bhpm+V6va1KS2a9XM5X893dXUyyxWo1G0/XN8vVYDnYHW+uKtj63m6PLRBHwWbSo8mjg6qMFzcJKfvhdL7J1+kw6JDcmd3/2eMvH149/PDuZLWYv339+s3x+fVqcbC/88Vnjwf9DCEgeBBsW69VgsRddTgwxRijsHPOO9+2bYjRB47MHRTOLIQgIqiUIHTJaSfOMdp0egERYQEOjBAO93dBIASXpFaRCDBEDq3TIFBVwaoQvayr+nq53Wwds+nvPch2lS566WiQ5oP/8Ox4va0DCJskqkSitNXq6+++XZebz778SaLstnFMCRIaQ0Yrce4nXz5ZrjZl3a5W1bb0Ifj9o4Pg28TSbDriKEWeMGvXbGuNO7NdCbfaun754jWAPHz4MMnSt2/e9dJcUWgqji7u7u5t19ur8yuJVFXN7gHdunPXGJ3lNkkskb64Wrx8+fro6Ci1yWZTE3KeZ3UdB4Nh5Ngf9V6+eH8zXx9l6dXV+Ww6Gw7zxFrn6vlyfbNYHhwcNG0bQxj2cxHe3Z0VRZHYJLX5+/fvbuaXe3sH9+7d29br/qioX8jrX3/dy/PRMH//+nh3tyyKbH41r6u2l/d+9tUvXr18+evf/Dbt9XZ2p3lRjIpiOV+aJJmlu5fzq5t5uWnWd27vF5OkVG1LTVrAnWLHe9iZjV3rTy9WZ2fz74uT/dk3n997+ukvHkr7eOfg9utnrxxkp2dX283fzKb9/d2dYW9gTOj3Ek1KFEWGPM3YR4jOR24VtCgaIqAmlaRJYoztqBWwhoiU0kmadKxtJ4rq5NSdFWEU5sgYPUdft05Z27gm1M4517ZtVVU6xHi52i62jT9e7uzfa7kY7E0hyyvSWx9aAQ48f3uutQkhvnjxbLkuv/zxz558+mQ2GYxHvV/99V/+i//xn//+j54OdiaRgaxWRsfoq+0mO9wtq2pgeoeHw/WmXK/XhNRVMVurirxf5Bkpurlxg35Bio3F+/dvZ7kV4evr+bffvFivtl98+fTu3V2tzfHxO4CgNewfzGa7M2UJia21MYYkSYzR19fzxWL+5MkjRbRaLHtFOhgURdF/9v3L47fviiKfTOv3786qstk/OHj4ya26KX1o6roty7KuKuYoHGfT8cX5xc3NcjAYZGnv229enJ1dfPbkcZol0+ksy3JEmM0mnnmz/itN+ub6Zrtdj0bDy8vr+/fvP3z06Dd/87dv3752rplMJwB0fXmzXCwynZx9+LBtyr3zy/FkHKMfT8fMIXXprt31Cc+bdRtdxKgst6FZnG+3JfZH+1VVvz9dHZ/8D/dv331y9/OHX37y2Y+eXH44++a3X6/n86vzi5O331sFBweTe3f3YmxFoiLq7KoRY+QYQvxYAcwM4Op6q7XKsjzPcyRKkqQjzjrQUikV2DVtE4NjdjFyDDFKRFHrdbktq+nOrgBmWaaSrEjz3miihaXIdx48/bLV/Q1rX7dz10SRGJmSVCltlbo7GROyIbx1+/A//Opv/+W//lfnF2d/9Muvdifjf/wP/mw0Hv7q3//b4tHh3c8+ASJlDEdfbtZt66+v54PhEBVstisffPCuyPo2MePJEIGW64VWNknSosiLXv727dvlYvXk00eTyfT587enpxfj0Xhvb2dvf3e92ownY+cdR1mv10mW7O8c9geDk3cXi/l1U89I0Wq5fv/h4ub6+u//8R+ihPUqLJbzLMvni/nJh1OtlIBEFiJ9fn759LOHSWKyNJ/P19vNdjIZT2ma5zkRRu++/fq7/YP9tm36vfEVrV+9evPTn/5oOp20bZOm6Ww62lRN8GE4yJtmk2czAHj8+LFSVDf10Z1bt+7cKtfbqi4fffqJ1nZ3Z+fdycnrk5O9w4PZ3gFwvDw7N6h7vcKX8eTF+d1P7j8Y7r768BaSGNGRivs7k2uzHc0mH96f15tgsttvL8rTi397Z+/l0wePbx3d/os7f3rx7vp3v/6uLZvot/Pr87xXEfrE6CwxMbrODkUpRFLaGGttkedJmnVkrTCzgItxs90SYgghxujbztelq45lY9M0SaxN0sQmacpo8/7QuZgYe3B4mCS28wPVSZ4//uWfrwMezzdl8KJJslQhWOjsRoiBEViJQJR+qv/hn/zyzp3Df/Nv/s3/5f96/Bd/9mdPHt/74z/4g5OXr9aLUoREKSCcTcbk+Juvnzetq2rfG4yzNA3Rp2lSFBkpyvPc+3BzM99uKhHZbMrrm/nJ+7OyrBBVUQyur+eJTZ5+9onScb3arlab9XKjtSGyi/mqrFerzfLo1p03r49d2+zMxppouVg+//7lYrnarjaH+7tEkObJfHHz6NG9hw/uCcTpbPyv/sV/3G7iYr789puXRZ6PxsMY2Hv/4MGDEEKapsfHx+PRqGn89c3Zzs7O5XpTVc0XX3wSYjw5OUEErShNku+fv7Ba/ejHj4aDRDBxro3cDobjyMISFakiz9qmme6pzWoj4uerm52jvcTouiq1wv2D/SzP+qPBdltefbj88OFyb3+fMUYdxPJod6C0yw77opuHD2brGzg9LwU46Rvqw8nmw8Xq9PbenVsPHvzFrb/48PbDhzdvyNrjs7PBIDncn9h+0esnBNEaCwIhhKqumrpZrOo433rvuopym9i8yG1iiVSWZdQp6z660NJHfy3ADqeIEid7Owi4XW2rbQniAaizndCB4a/OL1ilgMoaRYAIGgFYBBWFCK51aW4YGQA0RI38o08/uXOw/y/+5b/6v/8//vtf/OzLxw8ffHr3zv1JEWJEUkgUOUbmq8sFKQTCb799dvvO0e7uznA0iDHeXF8vtb5162g8HrRt29Qtke4Vyeeff1nXTVWW15c3qTGTSW88TofDbL3ZfvfdM2vSvf2DNMnG0+lRcTAcj46PP3z4cPrk8cMksVqb/f39X/5+0Z2zwDEvUlgxAj14+OCLLz5ncU1TffmjJ29enda1+5f/4t/fzOd7e3tPn35y997R6enZ2dn5dDqezqYxhrJqisL2+v1f//Wzd+/P0lzdv384GvQF0Tl3c71YL7eT0dAaGgz667VbLlbzm5viy6xu3XK56hXFcNBvmub8/LQuK0Xq9p3Dvcji3XQyybPMuRYQvURRqJN0vdo0b95++vhxxHB5dmV8yllUA6Cebtv2/fu3s92d3b2pSex6FZ+9Pnf14t3Z2eO7i3v79+5/duvo1uGr52/V85zFzbfts7dvxoOsSOz86ma1WEqMSZr0+v3ZzqzXK7K8Z21npWe0VV1lSOfEKETqowbTKKORmKPQxwROd66jeTo7Dy56J1rFwFXTaBZpPRpFhMLADKgkEiIgnJ1drdb1yYf3n3127+hoBsIRlEEkX+310//2f/dP/7v/4X+KrZ/kyd/7x39WLi4/vHwWGbrJG1jSLL33yR0kfP36nU3S1lVN02htg/NlWcuR9HrFrVvm6mJBpEajkbVWKZpNx65ujw53bx1NJ9OxtTZk6t6D+5ttGSQECTt706Yp66o8ef+u30ums+Hh4UEIMcuSJ08fKa0+++LB8+cvCHE6G+bZ8OLi6uryqjfIvQdEvL6+Ktcuz4ukSF+9fF+7MJqNt6vV1cU1M09n06LIOhu+tgnL1QbIvnl3Op0VB7s7Zd32Bj0GKfKeNfOyat+8Pv31X/0uL4ZpkQ7H56cfTqeTnaODW0mqB6PecrNpXUjTrG4aZh5PhrPd6Xa7/XB2fXBwCNFPxxODyiq1s7NTNVVepPdv32uaOO6PXrx75o0r9ouf/ugRWRLgm+XixctrjWOC0el104RXm+16tXdzd+/x059+un+0e3VxcXz8OjCjxOvFarmuP//s6XQ86A8HWZGZxFpj6aMXVlcUiyKMCEoRMwMBUkREYYpRoo/Rh66SLviwKcuyqW+urteLZZ6m/f4wz/oxtBoACAyxFmEABERPooQB8O37d/fu3Pn00e8TshbQyhJZDi5RYNErgv/2H//9LEk0CQn3+8MkSZlFk+73hs2wmS+XAtLUvm7CyfuzLLfBL6uqqarKWHtzvRiOhlqnR0d3EEVp6nyyOkfDbbkMMS5frw4ObwVGrZL793bSLPHeV+UWSVpX37t/azIa7O6OSUlqNKBdrq5H49HB4cxaVVVlnheEVgR9CEmSsNB3z763iZrd219tV/lgmCbJ/v4uYZxMRolJPnl0v9/Pz8/Pvv7669Gof+funbv3Dlgub90+/OKLJxAhbOqb+aKXOyQpemmapkabyWyy3jQ6mKryxuQvnr8OIT59+lirZDKZ1nWTF0V/MMjSlJiRxXv45vs3z56//8XPP82zLHLIs2y1Wi1XK4C4WW8n493Ti/N7D++uqsX1m8vp3jiZZQ7b6XCkP8vfHF/4yoDY+bxeLb7d1FcnN69vze4fTe8/mjzY2d25vLwG4XdvXiFimuc7+/tZnvrQVnW5WZfBf/RcJ6LgOxtI7gIjF7xztXOubXzTtq1rY/Bt3SKz0Zq0RqN963cn49FwwAx5Tw+GQw3Q2fFQR9Z5Fy4ur0xC0+nki8+fvn7+fHF+OhqM8ixnDqvF6ubi/B/9+R/mPYtARgXFDQCCkFZ6OBxLLImU1rbo94XkN7/93e07D2a7O03bJokh1MP+iNBcz69evNjs7e3WtQsehqP+eDzs2ifEGAQ4SZN2s62b9t27k+++fzkaD7/66ifPnz/f3ZtlWUqoiiJ9+vQzo8VolefZYrFs27puqhDd0dHt3b2ptUdG2dWqXC7XzrlyWyKZ+/fvnn04z5NkZ/+eSVO/Hx48uNu21Wa9LXppjPH6ev7u3Ye7d+/86MefC8hiXV9err135+fny+uVTYptJTSjNEuGo16v1xuNRz7wb37zzffPnzfeH+7vL5frly9fa61+OBDjZrPZ3d0t8pydR6LluvVB6rY6P7vq93NEXm9WTd32ijTLe6N+fz5fb9bL2Xj4+NEnk5vR9c01ECmjk55WBvP7B2/evQ/RZ71edKaB+uL08vnrVz/+9Kd3du8f7d8d7Uyuzm6IVL9fPP/mu//4H383GvWms5G1hpDTNLXWhuDruhEmAAkxeN9qrbTVhDrN0ul0kPfyJEkTqyWG4Js80SZV2JmihBhaWa23N4uFTbsJRKyJEeHq6urZd897vcn+/vT67OL6+uarn/4IOZ6enL59/d1k3OulyZNffD7tW1IRQLrmBV3nIYbofdAAZBRplSRZrzckWtskBYpN7WeziU3SclsulzeL5U2Smh2YAMay2jZNeXLybm9vbzqdeu+ZQdts76A3HPS3ZYVKvXv3/vXrd0XR1ypNbNo2TKgBKM+yNE20ViLr9bpM83Q8nmplnI/ehco3b49PVqv1dHZXaTKWZjuT1Xw5HU9IGVTUy/Nyu53Pb5RWeVYgkvchhLi7u4MIIvT29fvjt6dZoT65v9vvD589e/voyb39/f000zc3VNdV+aHaO9j/EanTi+vnL96ubtbj0aBX9C4vrkVkOB5Za9M03Ww2y+Xy7Oz84YP7d+/d/uLpJ8++e1GWjVIqz4rVarNZLhIsehZXiwVFSpW8+P43749fPXn6+a39o99+/d14OpzcHc8358Tbo5ltIWzrxeX15urMgqHZuDhZnMzL68qv7+8+3j/czdJE2O/sr8bj2fnZu7pqv/r5z2NsYvQiUPQKRUpr29U0GqON7Qgxw1ECNzGG1jkCYcbtetO6OkQlBFuWtqp97W/mGx+xPxxpBFSkjTJK0f7udG/6++W6WSznrqpUCK++/37Uz+4c7A5S/vTx/UFeUIgoHgAABUB3Hj4IokAIg0QnlDJqUpj3iuVi2VTVrbuHdZ2lWWbTxIX206efPMaHSgkANI2/e+eOMVoArq8WbdsWRb8oes7Xm+0iShgM+5999umtW4dXl9dJmr158zbP8zRNe0Xx3bff3b5zePf2bSQ1GI5skrDwoD+8vpmfvPtgk8S59uZ6SYSbzbbfLxC1a3yWZW3TVs0ctbp967a1BkRLJKUVs784P//w/nRblXk/XSxWV9fXxpgvvnh6eOvOZrmZ7CzX6/Xxm7d37h6MB4PQzq/ny9PTi6vreZ5nSZorgL2D6Wg8tCaZTocE6BqX6JQlcAhWJRdnl728X2+WRaKePnnU1FW99ePhWIsKbutim1jKbBI5WE4Dh7MPH2Y7QQP5bbM+Xy5vlqyi6/P4VpGnvpcN3r5dNTWVW/B+PhwUX7/+ertePrz14/F0N0keNE19fXm5h/tXFx9ev3m5uzNhicNhL8+ssMTYNj4ASF2LDy7GiNTpRjprVOm8U9o2QJAYnfM+OLdeLqttmdikP5yWlWilaHV9fXk1R8AkU1pDUzaj4ag3HOyNR66pMfieUU9//GOSyBxBAYnqOFsQBkBRCEBAONud3Zy9ZcCAqAxOp8ODg10J/uzktGzqto2fffZ0Z3fn6urCufbWrTt13Tx79mK7rY+O9hJrkGS1WtV1EyJ3taBl2TbNenFz0+v1ev2sk31dXd0ogsGw3+vlJyenzjljLCKenZ198slD58L11fzs7CLP89FofPv2LSKqq/rmenV1ffP+3clsNt3b2W1duVhtttvaedc27Wq9UXZPKZxMhj/68svZ4e7e4Q4ev/3s80+/++b1drP4m7/9zXZbHR0erVeLzXaDeItBil4vzXrGJs75m8Xqm2+/vblaGKPfvH67WfskU3//D786Oz3Psnx3b0JWzUaDxXL54d37P/7DX37//ferxeVoNFQqubpcvj0+mc76jw+Pqu3KVcGa1BJ2hYDn5+fnF+eHhwfOpVplz1+8fHb87t7T/adf3d/Z6/U/759euMvzZZYX6zW8fX0sT6ly/MnR4/3p4Rc/+fHv/vbr+c2aVG+5bPsDNkaVZbu82cYIjMACHZMqgIoUELOISQyiVqRjjAipScdKGyDqA2qinba9PnuvMZLS/cFYh+Cnffvg9hfLxYo5oKZ//a//7c54fOtwZ7teeaN+/OVnCWmKXiMCIRBD52SHSEAs6IJsG7fcltVmm0ZEYaVQSA2Gg5/+9MvXr94Ym02Lye7ubozx5YtXdV0ZY9++OVksVi9evNlsNlcXOw8fPmzqOrF6vV5tts1oNGiaWik3Hg+3Zv3tt98+ffp0PB5bm9RNdXp6Pp5MkdTrV28366quq88//7xt4rPnLx8/fjSdzUJgJOr1irqqT96/393dsdamxh4c7O8fHk5mk2+/+e75sxMEfPTkdlmXPgZmadsGBbLcasJ6W+VZvjub1Pfa23d2Hj9+/Ku//Jv59c1wOPjk6UNTpG/evNmsq36WH+zvKQ3GyHQ6/Hu///u9fjo4Hv4//7v/9527hwIyHPdHo8l0OmRxN1dz2xCQI8237uwvbubG6s22PTm9WW3a/cPD/YP7m9XVcr4U5hBjiFwMBuMkCQzff/86z9NBP3v66aeGBi++f4nth9//08825Zky6a27OzfzxWrl+oM77z5sV9s3HptAza3xw5/8/Ofz6+2LF++Wq+1w1LeWxsOh0sbaBGyqtNbGWGO01kRaW036o9EIAiEJdSaDXYoeI4dYlSVL3ZZra9P+sKcBxBoVXBNDe319mRfFL776amcyUux+9ORBmmqOjgS1ShExhBhDDDGGEFvnStduqma1Kefrbd1GQ/BwyMOcgZQDROA001lu8jxJsh5zXK83zsU06bWuWS5XzLy/v3f//gOreTgYG51orfv9/mpdHx8fW2v3D3bzItvd3QWAwWDQtu222h7ePlwst8v1FjUqbZglSbKzs3MWMTYhbYSlrFut9WhsXFjv7u8dHB4M+8MQWRTaxJJSl9c3r16/aZ279+jw9r27V5fzoigSSxz9/HpRtfVwOPA+oMjd2/ukwvXl2dHh7t7u7mw22z0YI0qe5lcXi37WM4puFov1crk7m64315vSI+GTz+4dHe2VdWl08ur129Vm9PjTB6PJeDgeKyIRMcZobQTo6npxfHImoj6cz9+dXN852rG2QIC6aXwM/eFIa72tmoPDo7evX1+cvf/xj55kZAa5XmyvwtXi9u7gXOLp4vzgaD/4BTtWKrlYLEWdGWM0qMPJwz/68z+ZzHaeP/u68VL08jTvJTbVpAOGGIPWoJTEUAtppSwDNV466zTh0LlUEjMwA4t3PoagVOwKC4W9RqDrm9X19fGjx48+ffrpar3667/82+ro4J/8wz8hbg0HUmnVhpOr68Vqs25cG1mAGuedjz4yIHHk1nEUMiKVDTiSrhiPYiRipQFJmOObN2+yLDc6Xa0u88IMBr3Van15ed3vD778/ElwvqnrNE17edb41ia63ysmk8FsOlwpLSJ5nq/X69u3b5Vto7SJDD6G6Wy0u7NbVVXwodfLldHzxdLaZLFcAkCSmv5wMJ1OsyxzPqyq7dnFOSo1nUx+9MVnwNTrDT55fFsYf/WXvz47Oz44mH325JFrWpvlWuvgo1IYYyiyXgwcg0OAEErwvdFo5Mrq5vxKRexnaZrkhNvtpkqS7Oj2gTAu5k3kuNnWRW7TtJfnw7oOzNA0Tdf6K3ghtFfXN89fvjZpolR6c7P53dfP79y+pbRHwkGa+RhYZLlZLzcLk6j9g73R4FYM5bPvfjeeDEe3xtC22ytnR9mn9295y7eP+q++u7LZEHF4cVkafmeFCdXu6JMf//zLJJd3L16NJzOTUAj19fXCVWVd139n+9+BOKjIWJsk2lid2LQLtIHEex+cN13PSYm+bbn1BFET4d7OeGc2md9cf3i3Lqvy1sHsqy8epyqC0ZvGvz89Pflws20ikGENVePbEEGh1plgAIkCTAaAWw5x65uyUXleKEpEIiltjbFGj6fjN2+P07QYTaZkbJpIatPl/PT03VXRWx/uz0JbLxZLQPz086c6sWmeoSad6AhS9IbOe5uao+Gh0ebm1ZvHj+5Op1OtsarK1GZVWUWOm/U6KwqtbJ4N9vYOQmyzNLXatE0bI9/M52/fHhMAx/C73/zm5uZm1O8Nh4UGWKzmR/s7Zbmpt3VwsFo17c3GWn14eHg77zVtaF1rU9veLF68eBPDcS9P8ixxbXt7f9+51jXNZDLZ39178eLtm9cv28YdHO4/+fTTui0vry5Ozz8gqPF0KACMqqpbAPCNKzdlua1u1ouvvvoZAp6eLk7Prn/zt78b9fMH94/Ozs76g37Ry7Q2p2dnl5dng37v/v29YWHbanvr1sym1ru63rhm4aqrzYPZToTtdJbqp3d++7vjordz6+AeyPz99QkAWZXNeodPHj+tq7UHtmwio9HmZlPfvnNLG02ECkF1PmUxdqaOSuvUJqg0AgAB5EL40ck6jwPkBXDMi0JrRU/v7he9nggyIHO0KaGX1ap+c3FzdrNZrivS1otst9dENrH93NqIUYA/9vDFuC1vSLUk9bahqjVJkgEhMlljsywPIWRZeuvWrevr9YtXr7I8dQ7Ot1fPv3+lUD2493DQ75+ulpPxZFuX1/PFX//Ns9OT893d3cViYzQFF3f3xg8+uTscDS7OrqqynM4m1mDbNuVmu3DLoiiKolitVgDS1PVivuxaE1/dLJjl5uZmMBwMh6O9nd2uE2rT1OvVkr2Pvs5TGg/yn/z4qXPu+uaybqrnz1+8fHWmNPzx3//q9tFe07rzi9XJyXsRHPRnlW8urhZGoVV454vD2XRycXN1cXk6nc5u3d47unNY5HlVl4vlNsvSBw/vBkZFJkbvvCt6w5nNXNUs2msRbIOzSfKzn/90Mhz+8//+//Xs+/Ojg3FVLr759ub66irNs/G4n9j09PR8b3d0/85u9M3N1dwapQ0G3zZNmyTJrDf9d7/5rd4Z7H+549kPJ8MHn+y/f3t9deWLPlUu5Hn59uxZei/Nkp1Hn3768vnz0Lau3LimKuv47v3Fj37yWdFLQTh0DX5jQEAEjD623oP33HlARe5EjHVdtW1wzhdFjoo0AFj2JrrY2eaG+P54++H0qgpYoqGkBwbL2pGyWT5FQAQvEJEhcs3iYnAsNamt95ssia0zSt9GRIWxc/LN8+xmvmyaem93d7tth2kRYsgylWW9J198Glr/9t3b+fIiet/rFYe3Ds/PLghgOhkH755/97Kuy52d6XjSS2zSNM18cWMTIwIiYIwFIO9917w3TVObWBZs22pT1ovFUtvEufby4nyw3OzuOKOwaSqj1Gg4mIxHWZYMBgOlwVgig9u6SfN0d3f3Z1/9OMnHp2cfzs7Psyypts1qVR4cHOzv7799e/L8xXdKyz/4iz978ujh21cvN+UWQJqmXKwkxDjb3e/3hwOXVXXpfWjqZjyeMbP3UpX1al2/O373+sXzIk3v3rn9R3/0B6+Pj7/+5rd3Dm/dXH/40ed3f/LjLwRiVW2efnpbacqyxPtwsD+ajnve1ettZa0WlhglxkhKKW2MTQ4PDzfr7V7cA+HI5e07IxQ8P18aswukvn72Nv2Jejd/eX8/H06m08n+r/79fzx9/7ZIbOvCwe7s+bfPdSo6MRz+zn1KutYK8NETmABQKW2MVkplWa8o0BpdN22SWA2AotJlFc6urldltdq0q42gNpTphluK7KN4D7FyIBykGs3EucbXxLJiLAVcDNV0MghBi1cRYhO2fSACYcTOBJSQbm7mWdbv+slXTTWe7BOp2U57eX6hDJ1+uOzl+aA3TGxaN3WSwO7ubmoTpe1ivp5MJ+Px+Pr6yhiTZdnh/n5kca1rW3fr1q3O3GmxWLRty8Ja66woPpxe/OY33yitHz16cOfoSBOFut66Znd3FhpnlBoORycn7+q6OTo6WPP28uYGydSVE7nRJp3s9mvfiwzn56tq2xT9/PGnj/f2dq1Nqrpeb1Zaa0QgTYvFYv9gN+/tkaKb+Wa1Wm02253ZTmLTul7Nr1fzm8Xt20fLxaptQuSYWTXuZ9G1sd2+e/Ps3fHb4Wj461/923HfHh3sQNiwBI1eGCWAbx0ADnup960PIe0XEtm5ACIcEVAxoDZmOOidhQpZEYiwnJ18KIqdwZAvr+cCUPT6Z9c3Cdlx73ynuLV/eHBwdCih9a5+9bvvzt6f/P4vfrxpV7cf3L19cIQInbmbUmT0x7banbpDa9VJFgEgROda57xbrzc6xPiXX7/c1H7bMpnCs4IUEMx2XgFEEFdXTmHIC6mbS0U6MK9Wc4qDvPBCTKR1Pshs1kTroy5y53kboiXWXR/Rrmhhvlqu19V8vry6WaR5KsDT6QQVoJJHjx+9f3tqtbFJFmJUqHp5P0vSQX9wfb3erOvV+m2SUM+lXfH8ar1MkjTNMue897Eosq6x5vHx8c7ezu07t7VJrq6vbh3dqcr1m+fPdyajRw/uJYOicsnN1c3Ju+O7d29PpzsnJxe93mY8nhrDbSvv3r07eX9hrY3sjt+fHxzu/+KrH+3MxicnJ2/fvP+rX1VffPF0PJn+8pe/d3Zx1rrm8uZyMp1sNuuyKsu6XG/K8/PFg0/u9/u99Wp7eXld161SerNdb9fLb7/9fr0qJ6MiS83uZFQMBgmF8/eveonW3OxN+oMiU8QcWq21zTOjbdcOoPOqYkpVkrFw5Ai6ZVSdQTsidk1PfR0AFEJUaDXm6/XWeVf0kiQhhFjX0QW+vn47yWdp0d872NssrxX1/t5gdPHuJLi4u3N08v789sHtnZ2dEIOIgHRt9LrmSQwYWEAciHTWzghIk8nY+6h9jB+2S5v2q8Zvr6+zXmaNINdJ1pBqq3KzWF1lmcJEUVKmWapUsrNToDBI65mYpSv0jFEkonMupMhF7BzSBVEro7TqFdlqVTZ1OZtN7n9yzxgCgdDioD8+fvPh+P3ZZDLcOZgMR8Nb8XC1Xmmtqsr9u3/36zwfpIXelP7hJw+Hg6yqqsiyXm9u3xq/vHz98sW7Bw9v9Qf5YrEcj8fWGKPMZlUdvznJ896f//2/F317evohL7KdvT0WfPb82f0HD7VRr9++ax00N+vT00tr9Nvj9+eXVw/u399sN8b0N+tmcbX667/87R//ye/NZuPz84t+v9/v90ejQV1fxBCTJHn/4ez47cnOZBZ9u1gs66YNPl7fXOd5Wm6bclOmSR6hRQnjUT/FMN7rTce9LEvKattUdQwmydNeL03TNM+LJEnwY8Ma6sygfugxgiIYAZgjC8cQSTAw+ugh+si+bdvlatPyFlA665+jg6kQAxEDiWDnbcdtu6xXy+3VbFTsHN35y//4q0k//eThvccP771++Xw8Hs1m03/zL//dH/3pH/aHGUo0iqTrDGzAWCSwiOi9i1EiR+84+Oh99D5oRKF0G9DVbt0b9smENq4IQRmvdEipvvdYG2MAI6AV8K72HK1CRYTIbLU1KvNNCG1k6br5MQgwMHVG4kg2sQLc7w+UTuer8uLiutfLxqORD5GZbaJXq1Vkt1pNszwZFP2maW1iLy5vprN+fzD85NP7+3s7vV6BCK4N8+vNxcXNN9+dNK1P0p5StFou29YnqdYaYwjHb99xAA5wdXm6v7cznU7SvKjrZrlcLG6uD/YPiqJXlu2LV8dFkS0Wi7292eHR/nA0KHr50a2dhw8fXl3d/OpXv+r1cqObzXY56CUxNM+++wbgMUHsWazqcpjlRujt6+OHD+8eHB7UZaW0Hk/GMYSqV26LdZZlm/WNIt1L9e5wTxFoo7TWg0EvTRNUCpVK0iTL8jRLSeuusc3Hzlddqwch7EIR9iLEzAjIMYrW2ljvXdfJVZEBRgISRCJgbEQiilkty99980EnI2FBcT95+uhqfjEeHAxGwy++/PGbF980bfPg3n0f2m++/t2923eV0P/4P/xPf/rnfzTIk8a7uq69d23bONc4F2KQtm1icJGjQkVKVdv6+vpahxDeHZ/uHszGU6XNpnZbAq8VEAggJymhUNeRPQQKIYneItvAxCHWa4khxLDJM9Pv5/lQpWLreu19sMZ0VnsirLUGTGfTmUny9tXJxdVSGNIkU6R2d6er1cJo7Bf53Xt3Ly8vfvWrX08nO5PpgAx8+ZPHR7fuIHK/l+ZZOl8sbq6vtIIsz/72L/9mWzd//MufH+7vLJerD+9eFT1zdDittmvnWqMVAt++c9Dv9Yy185vler0cjoosTdar5cX5hY8yHPbXqzWz9Hr5ZrNBCJokS/Xlxcn8en73aBZCc/zye52Yg909rfXph9P1zcV8Pl/Pl4Ph4PJmgyEQuzTFw8PD9Wo1X8wvzk4Gw0GeUmoyRJ6NZmmaWK1Ta1BhFOl8q42xpEhIJUlijVFKM2JAhA7rh86HQ3V7uDAoQhCOMW63Vdcfrm0aROwwSUB88OChUiZCBIgMXkBiAJumOrHbulbatM3m+Op4VFDlloOkePjgk5fff1vWdRDe2z9sW1eutqnN/+a3v3HO5UZX2zUSaKWS1BqjEahX9NPUZrZI01RrVFrdwGK9Wmki6vf7SouyDqhK0mBZAUSIAlGLVxyRWQhzdNissKkYodVKGY270zzPtdFBKScQnQNf+fX1/GAyzkziJQBCJz3xdVyvq+VyeXl18f79xf7+z4ejvoTe29dvBoPRL37+cyQZDAZ1246nu0Ux6A/H4+mABYj0ZDIyWr15e7yYLw72pjuzycnJ3P6hRc2TYa+qt96HnZ3dLENNiJZu394Zj4fex3t37y0Wi7Pz0+D9bGcyGhbBucuL67dv3+X9HpAeDEcskuWJTdD7SsQ1zXa72Swvb2JwpDhGTlwasmVSFLcOJuXqpkjs6O5R29RqZ/Do0SObJK2vlsurXr93587T47fvqnJrNKGWLE2yLOvkE6SQWbhLapQyxmhjkbr2idQlP7p7Utj56QAiEikQBGAlCpgYBFEpQsRIiogIhOu6AozjyVDAf2zQG5lRIkdSyYP793/79cn8piyKXJmiittVeT20+1mSNY1rnROQLC8AzffPX01Gk3sPHwswmLQ3TAb9HBEROckSQgARpRVqjP8fyv77WZLsOBMF3Y8MlTrzqrqlq1oroCEIECRBkMOhmBnOmq3Z/nVvbd+u7b4fduw9zgxHkBySAEjIBhpA6+7SV6vUGeoo3x8ib1V1NzhrL62rOutmZGTeOB5+XHz+feijOFEq2k7SjSs7Ahm1BisVyUbRgByCA/JIngmWKKa4DFGso6g1vah8UY124l4vEsIDueBc8M7UdpXXdWVsoMVkPDs4vLt7ZdBukQshrAmMlYrKoqbgr+5ut9s9H+qqLA73T979xXvD4UgAltWy00uN81EcX4zHT/af3H3xTl27/f3DO7dvXb9+tVitrLGRThez6sc//CnnvNuN88lpt9taLMzDB/tvvPFCEic6iq5eixfLfLFaffzRR/PFosiXSRIZk+89OVvOV+Px2Fu7Wi7OxmNTh/TN1w/393TEnalQiWJljKn6/ViKmHEAYgCMyBS5QxRZmnX7feNIKMaqqnLLgLXWcnOzH0VRCLbfS9KEIVCkpI60irRQMhB47zk2lJbQ0O0jY0wIaCSziBhyhhwBGTBkCBAaciYgYIAQuA8ekXXaHWuNqYtmtwuejLUhOKVZABuCB+KeMJAjIEKfl2MhF9dvbAP6yfR01B0syrnvOqkzJmRZVY8e73388adH+4daqrOLe4ON0cbGRl0Wi8n41t3bWZYkSSwERwxPnjzMWum167taKU+AjAHhKi8EEARrvETGOHqmkKHkyDUnpblmHKXi3lfBhuPDi8lkceeFKy44W1prqFzlRWFNRcbassiDw9l8ynO/mizD1si54J1LohiQAdV1tRr0ht0uX84+q4vyn3/4k8PDSVWHs/Hja7s7d2/fyJLo8OQMgCdJFMXyw/c/PD2eXblyhSB476IoXi0Xh8endV4w4QjseLwENM4MVosafHVyeDiZnDPBe/3O4eGTdjsLjimptzZ6dV27qjRFWZd5O1OdbOR86LVjROxkolguyct2FulIMcaV7AvhGW+uEQACEm80vxFZaQrvwVnLERGD91VRVCGEouCccyFEJ+4opZRSjfiGC4Gc58ihqe82N3VTZXEOWcPBi+smQiMPigyb4wEBgTEC4IFBM30DDIlzZMgoOO/Pz2aHsyntR1c6uz44pBDQB6oRpbcwGg5nC/d4/9A5ACpvXNssXGnJSMS7d+/+5hc/fnD/yeP9w27aaiVx1I8YkSnz0WAQaR610tHWgIK3NpRl1R8OueTGekKHIADBOwuEgojq2so48h40ylhJhlKx2BbOVEUcp8Hq9997tJxXve5QyngyWZkaynJZlYaBi3T6ZP+wKkxd12VuokgOpVitVg3pVZ7naZw0Knqz2SxOslar3+u2pRaj4XBz4/xHP36n1+tubPZu3brh6vLexw/T9uDWrd2bt3bn8+vWhk6nl2TJdDI+OzsWjI0vzuqy8N6YqoxjnSQpNRJjSIeHB1oLrdXJ/mMh4ebVKy5gWVWN5HrwDpntD1qRjhhnjHEPwDlTSsdxrDUXcr2UjHFk1JAmN6uKyBtm8Ib0kgEHxODDmjIMkS61IxAZ41zJhqcuWO8RkQu2lj+DtRUBAEIzUdxYDK55nC8fl6pRzfNGLYo3/C3NextyDoastkZosbm1YX0jyOoJ15H1hx/eA6ZUOhBCJokaDkY+QFGWxheJ6FOA1apIs2TQaz9++OTo4OCFO7e2tjfbrVan02p3WkWeMzaIE42A2G8zzjhvZllJCIXAAgVoFAuXq9WiyIvCDNvDUa/f7cREjeoiWGtm01nWTrNWi3HgtS/NuQs+jaNBmrjar1YmeCpLE8cpx6hJxqqyttZ5bxeL2cZo0IgfBh/y1UqrmCEd7D0ZbWxujtq3rm+VtR0NW1qy04Nxvzc4Oh1vbrSNKfv9VEnpPJo6z1ez5WyaZWnWaS1nOQXT72VA5GwdvCcIrU4iRNqI63kvlRJnx8e5MVwIrTXnXEjMsnakIyEE55wJwaVcP+ecMRCcI2u0f8E3TO9NuYMzAMC1B2p46LEp1zaLjYgNz996aZFxzhEwYBBsLQoLcJmWAzScVwDPG81aznw9MApAAHRpc4RAARhDWo9INPqzCAA6iX7vu3/wy48/PD492xlu+eCaA4DQuXDr1q3lyh0er7rZUGoxHZ/xUG53uqVZ9pTf2t4uy7rdTr/y+it3b90ylZ1Ppzs7O1Lyujac88nFZDFq640uEiFRcOgaSj2GwdHTLy8Yw0jr6WIluPzk4/vspRcql0Ng5cK4gne6fWJeRHkAp6RSKXV5xoEHR8bYvScnQHESd6oCyrw0xnpvR92MMVFXdZLE165fJQqBfFUWWsiyyB/NF7P5oiqqh589WK6WtvbkcPfKZhRxH+puN3nzK69tb48+u/dxns8BME07lbFaq36v46ypqhzAbW0OBGMIgQkeiLwnxkEIEsgZ4965KIrOxxdZlmStlhBCNoJYggspGSJnvJFI5w3v+HoSCi9NAjCsJf/gcqkaCh26REJRCLBmpqTGSwEA47wB2q4NhLFmHyIiWuM2cV2Fu/wc+NJj/So+M6BG9OCSwxURsbF0BGSCcyGdhelsueG3mdDoqeHPRYQoRufZZHKKvKNtxJEtloULrijnPjNXrl69e/elYnnea6Wddns2L2bjydHR8fXru82t0ut29p7s7z95TI6aW4sgSCkAgTwyxqUUznthjHvy+HSwMVQy4mx2cT47m1bdbmd8Pj/dWwmmd68N+kPV6kSIQF4g8dWiXszKi7NpldvgfFFUdV1ba4wpkyT2PsRJUtZVHMtmXRBAK93UMBjQnVs3bA0ffvSxd25rc2O5LPLVIo1VvzdYrvbHk5NHjz4bX5w7V49Gm5LHSmGsONPxbFZR8N121sCtBv1+bSvnHWOMMxQSkElE4awHhO3dbaEU5/ySt51zJtb0xYxxIZHxtVNBRoRN7aW5sTgntp4NB0BshGbWPgcbOAZrBDsb9Ym1Y8BGHBnoMpBZnx3Wb2ZEgEDh0ioILxWTL53NMzLqZ1sYXHLJP2d2xNYTgHy+XD7c2xu+OmRCAhBjnCggD43GX7er3nrz9sefnCF4KWRArK2d55O6V0mhd69f/+Dd4zzPrfPzRb6xOUzSeDIZ60gnUaR0VFbF8eEhR6a1EJJrLQNJpRSXkjMulIx4JDgXvf41723lzcb2qCzqOjeeLVsbA2CxZFKl8vB8vMlHUaRW42p2vqwK6w3MZ6vggjGmkdlqt5M4zTiPVscXF+NJfyMOPgXEgMCRJ3GkImWNGQ57AJjblYz4xtbwlVdemozHZbH46U8f7z85NabiMnDAJImUlqYq8iV1+x0t06qqet1OFKk01kWxOj078ejTNPHeMNbsRZw4EAkKyBhwAUxIjmwdYjD+NEplrJEceLaDrDPQy/2FPX0JsRHsAiRc2wQ00U8j+Pj0AQgMWVgPdK5dVuPfaC1yBKyRkrrcwYBhQz65djwhQCNgyBijpoRGtDavNWVLc2RA8hgCUhrF0/nizqsvXP/qdhFWTVzFkDW/EQJHoCyOeu22C6IyxXhcj6eLno4X5bydJHdfefkX7/z06Pii004UJ2QoBOZ5bUwdRxHjEmW8dfXad771VYbgQ2CIQgrOBcFagVMgE0Q0PplUtmh14lY3G2z3vU/uPzj2PpUKgfnC4WxZrcqT7Z2d/Qcn89OZ1poRMgRPJtJM60QIQRSIbLEqltP52Qm/dmPQ/N6NknagEGfxTv9KlmXnZ2exi15/5aV79++/96tf6ii6GJ/PZjkFnqUqa0dJpKI40lpGsUritNPpxnFc11rrSEqulOwN+61uZzIdc6U0jwGgGSgj1mhTsEv96Kd5DTaKGLge38VmB1ibDz573izX5f2PjCFRY0N4ieNFBkhAjQuAteYyY2tBikZmY32qhqD50qkAYWgUkNf/pDWpChEhEa4rQE9Zm9eWRoH8mrR+rUPogRyFwFClSb48nZXjm3wbKcA6d6N1BRIIyCvNiVZZq3tr+/rDexdlaa23y9U4kb2sk21t75SzmZTRbDH3ngDIOdfs+1Ec7XY69z77aH/v8NrudmgUfq313oXgOOPe0sN7j0RwoTqqgYuTo9meO9m6MgjBludhfLJAWXFFCMxYW/nq/smDfFFEMtJSx1o1MkGNPC8CARIFsLWDAIILCGCMYUIQW99IUgogQqIo0t64+XTWiuS4LlfzSSAa9LJIx3Gso1hJLYQSkVZxrKM4iXXMOG+plpQiEBFyH6Db60dJPL4YcxVzzhojaXpHTwXYENilHTCGSMQYQ1gnWM9cxdPY4mkU8nTvaI5tsq9m/AURcR3brK0NkbD5g5db2VPPtk7rWHMvrXme15JkgJeJnve+sSa4VLJuaDFpTeQT4NKAvPcUKDhPIXDBpdYqVdd3dh1Yjhwa9nhYZ3GIWFcQPB+NrlxMFgd75xz5fFb461DaqRIokN2+ffcnP/hhmsUuhKqshBCddkdJmWWpkGK+WCipxxfzTisN3oW1yhABeCAgB1VVixBCbauWHtQhBAv5mfWBIh8xT55hDU5rkSVd44p8uUoj1e210zhxxjjrnXVlURGFKIqAkAGzxjkbeu0uZ6IsyyhNeOBNtZVqczY/qDudEMLJ4eH52bm1Jo11HEmlI6WkUFwrKaQQOuKCC8EuGfID56LRp2mwuT5gAJIq6g6GPgTGWOP5EQDAIyMAxkA2suqIa4quZvO6vMXZU9NZ/70OmddCXc+/C8Gzxt80oc9lhPN8FHx5+HpXW3sdeM46L/1QYIE1BtTYKBFDRgwwBLh871On1RCzAF2ysRJ558lYcEEyTiEMhv2ia1wwjOGapb4hPATgjK9W5XQybXd2yiI4HwT6TqfjgjNu5b3lUnX7/fmyCOCyVuSMa7VarXar3+8jwGw2J+RXruyeHu1PxtMoknhJvcBUxBjnyF96vSsAgUkWmEMBYMFYl6SZKcpVUQBntTU+QWs9V7ixs6E4I+/LfGmtowDBg5CCMx7IG1sBrwWziyrfPzrd2O0FquI45owCBR9qCha8PT85ylerVZ5HWirJGWNCSKWlVEJILqTARiFynV03vHmiuZBN1Np4eu8DAUkhJSIROe844005bp0Og2DA1vf4s12FrXMtdrltrV9ar3cTcjRJ2dM3riPTzxvcc8kUfM4QG5tg7AuvcsRw6YeAAAI993JDKADrEU0K+NQ2174K6VLqz9uanPO+FiTKRf7hyf2Nr25rKV24fEOzGxIYY/v91mg0enIwm81nb772ppRg6jwQ1tYa54SA7rC3ubMl0Adfdjudpr5RV1URPBcySzNTl9Pp/PrVK8Nhj/HmQqFvqMsAGKJgyIQX09Ox1jrWuq7rqsjjOI7iqCjLELySDJmAQHleeinq0taV6XRTEQXGyQeH6LjCQRq3+9niUV0cnZ9Px5WpsjRmFBgSMiq8BQ5pK2ElhKCiWHofGpwb54IrxhCZECg4Y0xKiUwQY03GygRnnDfisbCuySERUQDg6ztfcsFY0/dtHH9TTWFPF/X5tWo2O3puC7v0K+vnDJ8u33r9GOPN86eWgc8d87z1fN6knlkbXa5uaHayJpKi580IG3t55ruaWJUoQLN7WPLGO+ODc6EGB/PV+bLKtxjztN64m3gT1plDM/XpOt1OrCfHR3tRzIFYrKPOIDauiqEbJTGXnIxxxgBxohB8aLdbjPEImbN1XddZq/3o8eFisWDcAhJQw2DVSJJx0dDzcCG9C5Y8eZov5430EJei0+1UptaCIWfGGCEoimNkGrhjennn9i5KYjJYskIxcPXD8+Nee/jtb7zJWcmFDOQBAuNC6ahyjhCzTocLVpcFQUDkDDnnArloVGOBcy645JIAgXHW6NvwNRbOBtvUVi6rdkiX8QoiEjJcZ+Lsci3x2Vbx3GI+v/749Ep/3iy+/M+nb4TnV/3zrz41iMaqnr59LeiNAADsMmBH+LwBXZ6Hcw4+PN22vPcBPAS/nhXz1tRVXdsoaXtT3rh5TXIRgmfNr49NIoZEwBhbzg0xWOQGkBtjPUAaN8Df2voCkLgQjLHxbHb1ysZ4fAEEjJnFYhVF2nu/WCyklLPZjDO2c2UYJykw4igaqcbgiQshGLJYx6tVrpQKITDETqsllfIUuJIBYZXnZWW6w3aU6DQTFHzUxlZXbWzvXFzsdXupYpIHISjOZxaNeumFV2fzykwn13Y3AUMgJ0ABMgcUay0FJ0wZJ/IeCNdleqkJETlH3nSkOTCGTDAuGOeNAmgjfiaFbNLv9Q26zorXAXQTnKwDGUQC+sLiNEyAsC75rFeXNVUy+i029D/xLs8H3V+Ih77waBL1y5Lk0zOvP7oRIXl6qqbqiJc1obX2CbngbXDeOeOctbYORER4MZ22Rr2MAIBBAGTEmgQTEIEY4HQ6Ozy9cBQDZjqOkfFVUU3mVS/rGl8DERCkaXrm3HK5UlJPp9Msy9KMIWBDC8HWNzALAFIpLoBzZa2NlGwqIyJQsEUdXBCR8OQ5Q4borIuiiCsZCNqdHpdMKIqTwLVrdXinx9OWQAi9UYcjoNezI3N+eNpL4n//5/+Oe/nzX/3SAzPGRbFcgyAZE1oxKRjnPEgdEnIuBETEujYUgtQaGUfBOOMcGCBDLhpJPcRmijpwLi/Ti6eLGpo2AgJe1nEYPDOpyxLL80v0JQN6SovcGMOXvcLle9f7H3zeYp53M89bXgiBPUvIABlyxujzhz339su4mYgu6+Ah+KcmFIJfa8NbY62VUpXGLIt8kGwxXAd96/0LqGmbeO+vXt++cnP34Dg/3Mur2kgljDEhyEDUDIIhopCiKccLLtO05b3fe7Lf6bSiWHU6bee8EMJ5W1RlB1NCcMEDQkAiCuRJhED5Km+1ugA8bcVIMJ/MuCYdx95iYI645wo6fXb1hux0YwJHzHAZvCelFQa0JS0XZbEwb1x7dWdr9+HDB9s7m/fvfSI5huDBxxikYC6WsRAagTgnUh44ogfv/elkvLG1g0Ig8nUxF5FzvtaNRR6eu9DrLanJb5udGC5Xv1FyRro8mC7jJWT4L7oHWMe82NSgv7ATfSFkfj6y/oL9weXG+jSHurShS97udcWosYzQCClf/kafs1pERMIASIRN0ukDee/JmWCNs4YYBR/2L56kV1rdnZHxJTDeFKN8aNowhOADBV+j8+ArK8gCoMlNWdjgEo6KUWDgIYjgfZoq6wqGqVJyNiviOPHez+dzABgOhwAghDrYO8nSNNZaChkniVSquQICiBhhvsg9BL4kBj4400pS41ZJW7UGfrCZbmx0un3JVFmVrig8BxkqIBfAhCovBMpMcNXLfvFP77z/s/fyVW6tBTLi998OrnIcSDHOmA3IQEjJAjkkDgwZRwjixp3b0Gg7IEfk694Ab5ogn3MeRE1TZl1CAfp8jPJ5q/icgXxpD3r+8eWXnm02l32u50/2W47/F/xWY0NPjY4urY0xBkTkw9P3IiI8bbuuGxwEjcYfBRd8Awml4AmY83yZLzau76S3NkqyDcMOIhIwQiIIgE0XWOzvr8bn1Qsv3inzJ4Nh39b54ycnOuGeAJlEoBAceS+lZmgZg7IsyrLIsrbWyhXGObdardqt9t7Bkff2M7jnXI1ExHnWyhBQKimaYCGQIW+Q4a1bV65dGyyrunTu9qvD0RXg3NZVHlxdrnBx7icnC7BkC1cX1uaRrR1SaSsizxhjq6r0LtS177SyMnedngrB42Uvey0FAsCZWDeVASnAOjG57PAgh+cv+hfW5On9+nwU8i8Zxxfu7N96zG/5OT7zPV/4rH/JhppHaBQnmnc1bijQmnbtuXj/6Qd/7qs+F56HRnIHmlRz3YnzBMaF+bI8Ph6fzI9f3IwjSdTIEVwaK0EADAgCgTOUVV3NV/MPPvpwuVxWxl67Onjh5dtpiwh9M5Ba1mVe5It54Ux+7fqVJI2rqjKmyrI4ieMkSUIItal3dnaKYrW9M7pz5xoD54h5ghCIMSYIyDvT66W//3u/d+3azsMH91b5+fZouFhVpw+PTg8XSvNEdaFW50fz4rxwhUWPAgUDycEx9BQCxwCCGSAMHjFwTovl4r3ffPKHf/yWc857RxSUkkpJgCCEYNQEeYwC+BAY85+7lECXvUu8xMb8lm3lf2IKz2dDT3/+W1OeLyzl82f4lwz0i9vNenKqwQbBumSFl62LSycUQqDLVkoIIfggkF0K337u0RSDGgluQMJLz2WsG88Wh8cXD/b2N1/cbO92HThB4vO/CDImABAInLc3b/V2d7tFbsuim6/qh58dLIvyK1+7LpNUcn5xPvvhP/7g/PwsX626rVgp4Z1I09h7klKkWa8syybMd648vzhPE/XZp/cZ2iiKpNJEJLgQaRL/2z/9M63oe9/7FoNwdXv4ySeffvLJ+ydHE8707gu9OOZHHy+KseE2KMYFj4gRMgzBoycKTcoADENfsriVMS6sMWcXs4Mnx96/GYI3tmaMGuwRMhRCBhIUgAgaVVnvqYl3mgBi3fBG/JL/+T/9aLwersOP9fJ8wfRCoKe7ZWMHTWb0W+3mqS0+e5WexUYBKKzP8+yDGt8AyACBBaIm08JLmMcXv0wgAsAG2+yIQtNLdN7leVGUdeXdjddvbbw4ghgRiQVyBIihUXky1hGhjiSBASAlmZbYacWIjCgDv1FWQYjSlyafVb/++ccH+8dS8lYWZ1lqrRWCM86E4ELyNM0a8J0QYv9gP0liU9PF2cK7nINtfLOQQkgl/viP3744vfj1L3/z2huvjIbDHx/95PxgEkd658qVepo/+ugUg4iZZBwRCAE9BGouFRHnCEBZlqSRjDnefOl2ZzR875cfIHIQriqDiEQg6y1KKZAjY5yAcH0dA2FAhozEM7znuobBn1/otWFdthufLufzZb0v+6Rnic3l/5pQ4wtbCXtW9/3iaRt7e95J0HO7DGMMAkETmSEEIkJgTfzS9ErXGkrkvWs688CwyZEaR9PUEqnRBQe8bIh5aP5b14IoBO9rY8oKJKO22Hl9S0QcAkMSoekMkweg6Rz+8QfvmRJefun2G2/2yNtAHDiYQFoQC46IpDblcgWmv/T24P5D8OVg1POphoCrZam0arWyhvAvzdrWGgDo9XqMwWQyNc7evLa9MUhcXVoPloIQIIIPy+l8e2tHclWVdazk66+9TN7keX78ZN9XXrFoXWVHJMaIfNPqwxAYUKyk4rSz2b9+dae9MWhtD4LWt4CmP/4F2so6Vy3LzUHfOA+MXaYkjCEQOlw3CpCBRMbWkq8AFAh5g6Iiahirn6Y/awv7PxHJPjvgc2ZzWSCm5+Gjz9zMpZkCe1Z1+qITWmscIxAGQAwUgD4PTX1mdRSCB0+cPQuGPn/EetsioECegms0lInIBx+ctVW9WpWr4Ptbm4FRAOLIsdnh1jav7t8/CqF7687WZ/futVv61u3MGv/J+xdP9mfdbvTiC4N+TxT5vJhVO9uvHuydBO+zLNVKWKLamrKsAaHdbgvBAKAsS621Umq+WNa1VSqu6noyOWsnPY4klJYysrYWZVn+6Ic/+f3v/sHG9oar6vd+9SvmQ6/TzmerGLWXoSmKNu0hJngjNMkZemcFsnYWpxIlhuX0vII6aNYabVy7cb3XG5zs7XGJmU4ZoZK6wTYwxpz33jlEhhg458D52iWt7Yk972ZobbqXyfNzC/+FwPbLP3n6BBGa9vvTkAove5b4tIjy+XfBs2PgC6H85z5lHeISEAQg9uU9CQCRAXjvPRExZMgvqwr07IRrpAYFCg4gNB/tvW9EcSGEsjKlhckq7/dTxtT6fmLsEunIjIHDw/Hrr3/1tTeybq/86IOT3WtvpMlyd2f7vV+vDvanF+Pxd353u1ostto3eunww8N30zQJvjo/v8hXOWdCCF6VVZalWsecy9o4ay0ASCGs8UdHJ/1BLy9WiyVqSa3eoNMfCNYTSso7N24cHu4dX5yU0/LDdz8ZDtq9bm9j082mU6ElGvLBr6FYBJFSb7z1+u0Xb3MB3rm6KovlzJYVkgfJtW4JiJar5fnF+NP7D+7eGnR2Bh4gEDUYCNa0zr/U42TPLf/aYgDCZQT6dNm+ENh+2YaeX/unN/c6un3+3//TMPx5W3xqZ7/1CwBAowVBz2NQnx5AhA0ensh7Dz44sBwkrstO9PxHAHiCNWkOheB9sNYSkdYaeSwWbriZnOYrV5cIseCcCEIIdIl35ZLFaXx2flpV/M7dW8cHD957/+Dtr21MV9Pa1d67JE7zVRmF7Nb2ax++e68qi2K+pFDlq1krayVx2pQoiUAIkefF+cW01+12e92slS0X8yxLAgXGRJZ2nFl1OgPBJSIIzvlg2G0NurNl8e6Pfv36G185O91fFuWqyl/9xusfv/eJr30g750HAMWAW/vP3//Hzx5+8p3vfae/OeBBx8MOEgNEG+rlMv/lxx9++PGn+TK/c3V30B8aUwklbPBy7caa6/WFm/pzdf71rd/cY08reM/vJf/ywv+2F+k58OHlj35b4+ILB/zWVO6LnwsNBxxQU/a+TMQ/Z9lNKQiAgJAoBM+RI7vMNZ/7wKepewguBJekMQUiol+9/8l0nMdxdvP6VdECAhYo0DpHA4JAgHlR3rpz49e/OPzrv/rk2vXhzu6V+/f3/vf/8JvFos5zkyb1xigtZvmLd9+kWr3z018qJXxlEWwU6SRNfQjeuyRNkiS21i2XqyxLRxsja8x8NuccmCAictYZY1eLIjobOwjnF6fCeecQ4yhVMvq//t/+3SpfvvjV63uPT5cfmre/9Y3bd2/vf3ZQ11VV12fnZ23BrvcHvu4vnfn1T9/ZvHtzY3MLGJ9M5ovlajw/XZaTw8Oji8OcO11tm1988MErN7Y6PUnIuCDAcEkZ8LlNaI3xumwWuKcpEwAgQghNKAvP7SW/NWr+wmI/7znW76WnIPnfHhpfnrwxuLAOdRHg2cgEa5Lky0rDs/Oz50MlempNl1sz5wABEIhsCBZRIggAbJoboYH9eCJy5Kx31vvaO6+kns9zk1eRFstyMs3rLrWz0SAE13g4QIek8zr673/zi3zBGEu4gYPDmSkPbB2cMa2Y3b7WGg27SNVO6+bNzbt//1//ucwLRrqqaikg5lFV2XyVK4WbW0PvnXeIILMk9dYhoJbKGc6QO+cZs1U939yIGc0ZhY02F5wLpbSzLlBAzlrtFjAUUvsA7777wfe+++0b164Gwul0UVd2fP4wCnVxMWeGsSwNhf/v/+lvozQ9nVzM8xwl46lH7i/MuebJ3//qSSTs7et/AmQYyvUVxfVmgviloBcv7/vPW8baIf0WY4Gn6L8vvP6FUOZyURvbYnTpFb58yt/6QEB81pG4/C6XvuaLtnf5nmdf8VlNEi69C4RADEPjYZudywcfvAnBOmuctc7bqsqt8VXlNre7BwenVb5a5HODRXy7LVAj04ACGTMOP/t0zGBD6fnOdu/i+PT21c27d26X5cSBqU1pi9yVTmPvrZe++fje4bu/fM9WpszzXq+bptpaV+ezsqw3NzZXy/r46LzX67da7RDCarVyzlnn8nxVVbW1wfE6hFannTpbGxOAmOCc60ivvWcIiISEcaRMbbVMXQBPNedR5czj/YPbd28MOmk9WYwvxqu6mpbm69/+2ryY4ymuHs1Ikdd12lUv9DaRZJ63qFgERhQsMOacay4sQ/xc3fDzS9XkXusnl+bwRX/zFEnzebN6PnC5XLPn3FxjtE3LoIlO2G/Lmb70nZ5m8kTkwnqe8NJGvxAhrf889UD4XNEBAEKgQITYxHaOcw6AIfiwDnucd8ba2lnnvK2qarUqlstysarqIqzmtvLUjSMUhrFOCAjMM6EPnpy+8/NP02izO1Kvv7mNL3c4s5KvvMinF4vHj/eG3XY/Grz58teZi//z//G/lasCgBhCmiXeWc54UedCMARWFs4YXxR5p9NaLpdNwbOqqulsUta23WorwRcrc3q+APDNVKRo7nghpXeuaRQHsr1B6/qNnZPj0+lk0etlJ8dnh4dHL7x4hzG5t39RlysTXC38Qs73z/ZqX2CLbr7VN+TqUDhfg2emcr6oQ4P0JnTOVXWdhcD5c0vz5cQbL0HIEJ51wn5rq+FLVaIGnf5lA3gu3Pn/by2/5fGFWOW5T7x8GgIRZ5fDyJevA0Azofz0YKLLhkNT4wlhzZEAGAJ470IIznnnjHXeGFOWlalrIEBC74IngpRlV9oBo/d/c1wUs+9895VQRI8+q1974SVTmYvZ7L/99c+yJNJCgqurallU4ys73Zh3Xrj+6u7g9v/n//5Xx/uH21e2jTXem6oqbW0FF1rpGzd2vXfzWc4Yy1otZCiEWC6XQog4jvIyyivrgZSKTOUtdTvdlg8m0kKEEPYfPNzY2Oj2ulwKRw4JkNPbb7/x4Qefnp+OL87Gy+X89ddeiyJ9eHR6cHqoMzya7udhhRGxFvDgfTCBHHjEgEg8+AAUhIIkTSKuEDgQhOBC8HAZFqyv6L/wwMub/suxzm8NaS9t8VmM9IXj4fMhEWf888XD5pzPWc1zRvOliHtdXmhKhiE4gCaWXkNKGgMHAgDWTOSEho0UAkBYG1HwnlywjkKDoJXee2dL8Ja8C9ZQsFEkh6MN43AyGT862I9iFC3BulQs6WD/5ObtXQj9H/7gvbywf/Fnd9LEl+X2yenyYrxaLQryIBPaSgfbw+H1jVsv3PjKh7948Nknn/UGvW4nW+WLqnKcM6a1qetuty0kY4wJgYgCAbzzRZGvVovBYFTXdrUsNrc2Q7CEkNf1D//5p1VVbe9sbe5sCgy+PHzy3kcfWC5f/frv7Ny4EaypynI2m/W6nW6//88//emduzcts4vFbH/2+Kjc97aSGQnm1v1jCoQMSXIWBHICH9B55gWDO1s7seDkPXLEphZyCf1d178uwc7PL/n6iN9mKP+TQuHzBvQvtU1pXXTD560nNBs3PjO7ZgT9y+d56nVg3YYJSIAhEBBydlmngqdOB5kHZE1eDkQciMgjBfLBeW+88bZ0xgRLnEvkAFRDcOTJO6bjZOPqzs9/88F7H33a62XYIZGh0spUVb/F/uLfvpp1+p98dHhyOrek/rf/7z/tbrdu3djudQS2va/sxcUFg2J0dXvUG7z1wu9Oj+qf/eTnKpadTjsvi9ViORgMgGiVL+JYe/IugEBljNFae++NNVJzpUVVF0VunA8bw5639Xw+lUrcvLYxvpg+frB37/6eCMFjPZdkpI7e/dU7h9Pzja3B2dmZcy5N0l/8/BdTN17tn737xPtggvBRXwlGBA7XxZ0AGJjzbk38yLjT3jBRhtipne616Xje7aRaJwDgnaNna4xPHf2XaiifKx5+zgT+pzb0Lz+a833BHNdneoqAfRowIV5GWOsXPl/4ozXQokHaNwmwWFNSckQM5IP3AQJ4RGCNRikCNNDmdSBtrDPWmZpc5Y0lQqEZj3Ue4INPH3/82SHTfPNGr2KV3JU8A5kKYMQZ54IRFkJ18hxVov78333TO7b/5Ohw7/zHP3oQ3ErKQkUi1njn1s1hPPja7d8VRv/d3/73Zb6QUjaUhEmSVlXV73WGg97Fxbng0hnnAymler0eIq5WK85xe3t7NNz8zW8+6nTaWkeLqgyByqrudbOta520vwGcC0+wTJTsJ8eLc5Pio2rxcF8E70MI3DCxCX2J3i/IewEBkQdw2IygEFxWQIAjZ0yVNbmSNMXDdj8bdSbHk4vjktkybScRazo/TZwO0EyRXdrE08XBy9QZLst3AF8MlX5rufnLL8FlhRfXlefnoERNlHXpYHDdhyKAZkIQAAMAhYaq7zk/1EQyDWwMms5DwOeCcQre++CdMbU1IYRIp0I0yjeeMQzBEfmGKUZKJZgIigWKJBccxXS2eHJy9vD0/FcfPUh60WAnqbJV0lcqYQyCJy84cGCAYMk82bt4992jqubdXvbinZ2XX7754ovb4/Hx7GJV5HVeHN/Y3eglyVdf+EZf7/z93/zg4uxcRdqHgIidTneFaE0tGdNKRFovpnPF5aDfbUIfxliapUR2a2urrkxVVe1ex1prrQsBy8L8yb/+WruTBrLAUBCDo3TJhefbqBU6XlOw/PJOD+BCMEREDTqQAAMEAiRsZh4YoGACnKhy7Ij+rZdeaqnOP/3DTzbubu2txjIRN6/cENxa47kQFBrQS7NM+Azbifh0U2EhGB8Ye9bRJKIv2BD8CyDDL/zs6RmakfjGOJ8OrTe7zNPR1eZvtu6ONcM9l21PevpF6bKiTU9TQcYQkIcQCCCE2lS1tcE7yPN6yapIayGllJJzFsgF8kAghWy1MiD8+N6Hk9X8Yjovqjqw8ORknyX61lvXRcu1hoKhIySOjCNHJMYRAnIpLy7cZ5/c37ny0nTulsv8Bz/4JFafSeZsvSrLJRP1m29e7ej4rdtf3xndfufHv/nok0/anfaqztfMIYjWWcaxP+hRCFppZ7ypzd7eXgjhxo0br7322ubW5r17n3jvz87OqqrO0hQREFhZ1EVRPX643+ulzhkiJogRZTVXHDx4IuaBIDBoeuUBCRjJZs9v/qyrgOuaIAmGYNCt9Gs3vn77+kscGXl8/aW82xu8+Je3Lk5PDh59vCljDMYZI2UdAjEucI2T8g2U4mmlGAHcmqD8WYLd3OI+hCZSesqoQ19O7780XPHUPhhbb0vN6F8TMCESrjtvz4IXREBoOIfWZr0eD2piLIIGsLFWYiegQPPljHGutXa+tNZGqnd6Mjs5Om910uvXd4IPXPNup+NDWVvLuAgEy6o4PDv4+1/8s2qn82UplbbODK72QYXeJucJDxgERIw4eBYAiBlA4ExXhfzFzx5/63d/bzyZL1Z7f/i9b1XL8cnh6fwCP/toBtz9zrduXx32Xr/x1q0rbz58cPTOL38plLDWgA/OWsmZd0YrFbyfjCe9bq/T6aRpJqVADKPR6M6du4PBYLGYdrsda/1iWbSytnO+rmsCcs7WlT05mzImmqstgIATQ0K6JHhcV92fCxgZILC1OJhv4NiNtD2gLZFK/Xtf+9fb/ZvBlN4bAHjl1Tt5UX766Ufji5Wt2fe//zf/5s++NRq1nXfWuUgoYEAEAQl5c9ev179pOQrBL40E4XLMjz1zUmuToi+1qJ5zFc+OxKcREHBYm8llFQDXhea110FsNickj+QpQAgIDa8CNhC4plzcfJQLwQXvvHPIgnPeuJozAFAPHx3/j3/4iXG+Lut/8xd/cvP6TlGbqHZcKCmFZ+7oZO/J4ZNxPmMdXQu3dXsgQR0fnguFG9f6nleOAgPBGGMIjJMlg8wzFgvof/+HH5wc2/v3HvZ6vUF7CNZsj5jC+IPJJODq1de3t0fpi1deeOna66dH45/86CdExDmz1nJkvU6vrJatLE7jaDFfWReiJIkjrSPVamVCyBDCdDa9/+B+CK7baZ8cn40vJkmcSalWq5Wpi0A+UFBSIhe9fi+KlWiMpOnM4eXgy1M+6XUBA5qOb1NLfeqNkJGo5/x73/y3VzeumTo3zgguyqL66Y9/5jxtbA9QVG9/5VsulIvCbTHJGIeGXQUxkG3KJLimzgDvQ13X+JRvABHXNAbPxxlw6See/fC5auEX9rXAGNIlOcYXNrhL4EWgxsOs8bUhULCuDsFxLjkXBBSssdZCU41Y0wD4YK13xjhjra1rx5jOsg4B/+Tek/c/e8B60d7ew9l4fvAf/te3335lOOh453udpN1teTDGV7mtTiaz7WvbgdPJ6YmQdOu1voq5AdMMCzAgBJzPK1OxwXYipQw2PTyyizl2unGUlq+9/urf/+2vfvbPHya6ODo5rQvzlTevXttt3dq8+cqtb64m8MN/+D4Fm6VJkRchuCSJnQ3e2iROKITJ+UUrS4VgV69dFaLB0DEAEELUtZlOx2dn5wcHh4ioI23qqmmGaq2llGcnJ2cnh1GkkyQSTbwaLu9d7z1djmY+nSigZyFtQ2fdbAesXtoro9s7/RuzswUI88F796q6fvmll2LdVVrs7m5fv3l3MpnuXLkxObnnLMQJY0hNP76xkkurRURmjKVL3MjlIgM8F6Y8DYaeWc9z6NcvOJ7mZ+FpsPzF/K0B0jS/WWjILAIFa51zVggpZYTIgifGuYp0XhbGVEghBB9coOC8tXVdQXDBe0vogE2Wi/fv35uU5dQVhvvOrbj3Uoroj3A/d9Nepy1aq5ovL85zIslBx730+PSQaxhudrOOClRZMo2FAjnGUfDk5HDxox8+uHrjyu07t89OT44Oz/r90Qsvj159o+/9WSurPvvoIFGd7mB0/Q3dS+jm5s4bd75pcv5f/svfnl+cRakmAmPruq4AwnK24BxOT49jFTEAqUWerxaL2XDYZVzEUaaUWi6XPrg4io8OJ1EUCyE5xyf7TxjScNhzzlprX3rpxf6gS+AbRi14vgzTOPMmK2maD597GbBBqzSLUVnf6raXq9l//s//bbSzcevGrUeP7iF3X/36S5FWPtiitj/+8Q/v3rzdzvrGBE95q9WCz29PAOB9QKSGu//pXPqlz1jD0IiegYGe2tNTY/ptvTACDJdOpqnz4boZ1/Rm10VhF0IACuScscYYQwRZ1qtKt1ismsxx99b2YGvLWUPB12VZLnPvvZC2NnZRFoWrx8XyycWpYSBaXIxUl1LggcAJxjmHKNKxioPDYuFKCNy3Ls7no42UZLl7fZOJELh3wTBqIi1gwAJBIGtgBdxcubr58MHZ/XsXQOLKle0oigBxNisEhTu3d7Y3OrNp0RvFjGbbnbtfe/EveEj/6r/89acPPk3iyKNHoNVqiQQsjhnDVhZ3262t0eY+HGZpurW1ISUvqzKKkuVyOZlMGkK38fk4jtPBYAORprNZq9VaLueNAUgp+6N+p9cK3rFGrQc+37sOgQJcyo8RNXHr03o8R0EADWwlSdTjw/u3d155+dWXGbLN7c71m99CJOc9BcOJt+P0937nm0cnxxbDNC9jTmEYmtGFy1yaiOASigic8cazfCFXXw/pITxNo9YWs+49UYMdXse30MCqYc0zRoGCX9cH1oVidBSICLwP3gZvrTF1XQbnkFgSZUdPTn/081+vjGv321k7/tX9h+1OphT2B11bl+S8h7B/vL9/uA+aeIogoX2rIyNN3HuyFIgz4R340rfTRCkULD44Oi9XPo6Zqcud7R7XTmUKRSD0yBxjjBxbX3H0SAgssZb6/Xb0Sra5vdnuRuPx2fwiPzvOz0/235dcADJwTBbbu9kobF0b3v7qi38C1P3Hf/yH+w/uEfjaGB2l3jnBVJpGV3a28jSxtop05LxttZN2u91ut6NY15X96MN7B0fHIYTBoNfKWrV1WqkoiSkEwcVqtRKMewfeBWRY15WpFAAIQgEAIVhOHIARQVPYeIrZIbjMuRG985+PI4LQUJv5D9/5u9df+OpGd6g5YwFDIPJkrFlV+XwxPZ+dnS+OTo/2ro46t7avUAPNwLCu5zdFNmzEoZ4Gt1940PMf25S/m80OCAJ5AmrAZ+sazaWtND3ZEDyRJ1gH/43pO2uwmbyrCm8MICEHJgSBPBzPfvrOxz977+Oz5SJqy9fevLt/eiAV0zFvd1KtUSsWxRoF6ptaaYFIiB4Rmu56CBI4lYUPVszOV4txfuPm5iyfjTYGru+n09nGsKMjiLMooENExkRz+zRTkhQQQTOko6P88cPlcmkO9j9mQvzud+9881tXgtHLiT4+mqwWy+V8vlotXrl988pm64XtF99++dsS+v/j7/7+g/d/HWntOEdEKYRkHDxGKuKMGKNOuz0cDry3BFRWdVmWRPT40cGDh4/zstze3pJSt9odOxk3RaNmOkRwgQCmNqtVzjmLdCQERwCtdTMC0vBw4ZrsDeiyBMea4hg2XR62nqZsFpoAPdQy02V1/tOP/iYSUcI7kiuCEDzVtixdXtrC+tK7ams33em0i2IRKCBDpMtNZ40sJvIBQsO3TV+IhZ+LkeF5UFCDomlG74B8E+nT+jchAHJNgBOc89ZZG2rrvPHeBGcY8ixtSaUMYFkbIpRJ9PjJyeOzyaePjsbzcXQ1vd3qoLC+tbx1dVPHUkomJZOKSQ4cGRICBUYEAYiQoQiecS4kB2vd9Hxmasqydghm/+Cs12vphMfIs/aw8fLOG+QNwByJkBACNqVtgaR+8+7exUX5lbdfOz454lxk7aw/VFU90bx7cHDwyftnwFavvb47HN2MhHr12itfe/kPoE7/5m///t1f/zLLYiFE49LrqmIIcaSjSBGFOI61Ug1hQ7/f0zoxxp2eHs7ni36/32dMSiGlePDggZRia2sLLqtiXHApm7HoIKTgArWWIQRAEiGExSxwRflq6YMdjQZxrJoqfoN7APwcIOH5yIMBI7CoPQqooaz8PLiAjSeWFNCTJnAWa9PrDEed3ocf3Lt21WHDEkfkLx9IngLhOnYn+vzIKXy+Nk3PPYAueU/IN0xeQIQUkAhC8CE4a6yta1O7ugpFGQB0pKNYg9AriydHR48PDg9PThywypWTaoaRbu2MXnwlEQkSRymClkxIyRg2PFmcMQyIHjAAUjMxyALRZLz0VgLW/WE2mc63dkbGhLwoulmWZTEyInQeArIQ1pE9AwQKHhE5U4zxEMDUwJggCp9+fLKxcaUzCElPv/jqDqAjKIKNHj+YvvfLR/O5f/HF7kYvyYR8+dabX3vhu1Trv/3v//Dhxx8nScI5k1IaYxhjUaQ4QPAkGCZa61ZUleV8vmAMRhtDU7u9J0fHxydEQUfRaHNzsVwsFvM4jtrttta6iTcjHTlrAaiB2HLGtNbeO+c8URBEeLS/FJqu39iq7ZJz1gwxMYbBu4Zz/3JYqSlAIwH4EJAxJE4++GA8eQCERl6lAV0FIgiWyCNy4Czw6XhhDAVi3tYB1tbjvKNAQJ58EFw2VHFNWxsveQjWM1SXw3vNvUUh+OC9teSs9bZx/QE8kCdrg6nJed/8lt4JzpWQqtdxwEmokuBX73/w8Pjw0ZMDlaXLshhc6bU21M3RtaQjga/9QkBSKAUyJhr+ImSNJE6DQxTM1d4amlxMOp3e9MLXZRjtdBZ5PdgcIXqV8FavzRkj8pzz5p4M4ENwiBLgKZ6MOYfj09XDxxeTs+B9eO2t7TfevPPuLx78t/84v367MxgBZ2E+MfuPFvuPLqIo+s4fXr+xm2acvXXz26/d+f18Rf/1r//zg/sPRBxzwYkcEVlrQwixRGTM1NbWwjsHCgBRa+W9m01ns9ny4cNHBwcnw2G/P+CLxcI522plm5ubaZrAcw2gNEuXi4UPAQCste+//5sokkrpKNICEXTMesM0ingUZwSeKHgrV6s8azd4cGyKtgBAtJaHAQDv3KVzAgpNVtOM04UG6BCAvLfGI3N0dHQ+qaaj/tDZPK8UIATnL0cRCEIARGIUgBD8OkZfwyaQiF9akCcPQOib1NTmvi7BBSXiOE6EREfemqo2K5MvIASdtVCJSMUo4ovZ/OJi/PDx8elkbgEWZtLfbm2/vqFjkbW3Wr1EJ5yCpWCJyAvmyQMEiRKbRggLyICBQlDgwft6Op6Zik0uiuFw9Oje2e61rSiSlihKNRcGiChIzn0IZA16F7xDxoTUQimNSIAuBGUrODqYLGZBRXpnp+eq4uG9pXfu5Tfag+Frn308vvf+7EN7SlA7ywTX128PX319p5f5CJK3X/q9l69+bXJW/j//X//v07PjJI1DVVhEyXld1vkq54wtgu9maaREQzPEENJEA1BV4unJ+WIx39raWi6ryXQRJTHyxebm5sbGRhRFANBMV3IpK2viSK2HjIhaWdKUjhgiQy4Qaeealkq4EMqyXq6mWdJmoB7eO3751Zs8QSDX1KABL7HLz0oq2IzyI2MQyJNHROeaXgQ0KDvrPBp0Vty6eSvSarWaBe6lVIIxvMRthABsnQ9eAiXWORYCIARPFIhCQ5PjjKsrW9eldYXzVRQlXMWOrK1DpKXQSlDGGZRlVaGeLvPj8cm9vb15XnIhVkW+dW1zYxBvMg3SdzopFxSCRWYd1eySHJwBcAKOanpRMFCjrSx4tCUwiaen56slbW5059PaW94fdQ2tXnj9OuNeRyFAjYwxVM7wxayYTovFvKxKXxTW1FBXqCK2udm9/WKvNwIg+NU7F7NJ+fvfu9HqM1tnj+5/9Ppbw+u3uwR1nEjGaWNnMNpqRYnjGJJIppEQiNutm6/d/druxov3Pt77f/wv/+vZydnV61c5MkCwpq6sk1IaU2dpFmnNGYu0FpJb64ytO+1suZyHEObz6Suv3XWOP378pNvrRlHEOUvTdDAYlGXZ7FaIWFXVcrUqKwxA1nrnnI7kjdvbXAQKRIEEANVl8fjRab5kWbvtPSyZWyweb271pcYQKrgs8sOzwHeNBw20JrBpoDCc8/UsnPeN66AQGlbRbrvdylLkTAhBwZsyrwGklEKIpi+JwCAEAA/IgBjRmtqboGGn8CG42lRltbK2lkwpziSXUmXG8Xuf7a3K8vr1q8BCZcrhaHS8LPb2DvbPJouyNuSv3NrJJz542r22mQ1knHiZRIEoBBsgAA/AOAMukCMxBuh9EEic5PnhWSvpQV/uPTxvpT3jZzqO9iYnGxvD23dvjy/GWScRUbfMna1qFScIYjGm8xNzdnYslOsPkp3dfhwnCLwoaP/J+OHDs9lkdnwy+dbvXxkMlbdQFX4yNlmnff/T46qg7/zBVWCr6YX64N2jT++dEtZp78atF7fA58K5iJLbO2+8cvNbSrR++Pfv/NVf/SckunHjmpQiinVR5EoKhuCcbWWJ4FwIriLJOMZxJAQrizwEU5XFZLIgCFIyqeT1G7suoBCs2223Wi3vvRDCOae1FkJMJpOiKITggnGOzDojBDt8tOdtSYEYoOCoeupGHZ+Fejm/WCyWudZqMIo6fR5ohRgQNJIej+fIqNOJno7cPI1wn444PS0QrxEwa9Re4IgCGTgSWkVxjETee2NtcMEFzxlnnDEECs6H0PAb0iUYI4TQkOLUpqqqMpCPkrQo7fHZ6WDUW0ymP3/3N7P5ovL11dlBFSof3HCjH4KTbRXrqBg7FlQdapXglRtbUYwo15gkDihERKGBFZJ33joEYvkyV5EGrLud6O4LN9//9YOtK8OyqgCm3V4St/Tdl64ArwPicKMV0Fvnf/XLj8vCv/TyrdUyP9xbTs4dEdy8vXn9xnac1p4KRGgPxMbVfn9L/epnp6sl7j8uNze7b35t871flT//8YMHn/WtD1UBH713OJldnB/nZe63hr0btwa3rnd56SSlm90rL197e2d4d3Kx+k9/+x9/8P1/Gg56w2E/iTQiOm/iSEGgovBciuFgSESR4r1uO0lixtA5Y6pQ5BURPnzwpNPpTcaLo+PzOM4iIVqtNMtanHNrbV3XxhgA4JwnSdJsJnlRNEntbDZ550fvoPfNPICQUv3uW39auosH+x9/dv/+eI7DK3GSKGTeO81ZWlVh79HZ3pOjnd1h9nLChQ2XoPTLdInWVJAADUUmAFiy6CmE0JRWl7P5Si+GWYbABDAuJGeyaZsgAlLDorSOl5sRiibMsta62jhnq7pmnBWV/cVvfvXo6Hjv5Li/2V9SWfgqzqIokyfqtN1OsyQCbaQghmWHx1F/cPjkIstUV/Kk5YqiBCOc42mSluVqtVrFOp1M5oNe11ozmyw5k6tliZptX+2tygK52L25cXR6duela2W1FJwzga0uA4DgayIC9JzLF1+4eXw4X8yKje3W1Wtbn3x09Oje5NGD8TKffv13bo422wQVEQDzt+6OVgv48L0DKTTjtt3lX/vmiycH+ePHk+W0qKryV7+YI/Jun3/lq1ev7Q6yCMiVbTm4e/3N61uvytD62Q/f/cFP/mk+XV29sh1pGZzxQUgpGLEsy+qybKWp0jqJI+tsHOskjuI4stas8jxf1ZPxheQCUe4fnOR5ORxtlKUZbbWUlkqpoihWq1UDCRJCaKWc81JKRLRoGQBR+MpX37qy03POBh+8c/id73xnY7j1p3/6py+8cqOoTx8cfvjk/KGxVW39bFaML8x0WrVb6e7usNWRSjOpGKEN3mHDK9TER5dpdeOKnLfkAngqbOUdsQIGRr8w3B1t7yRpG4EFBmt14CZ1IwdAgchToADoMXgfvPXOGVOTD0IqkPqDh4/+4cc/u1iuUCPLMOro9iDKWkpppRRP0jiSAhEZZw2WUKBkjFvjGKDWHDE8fjApC+k9JbHu9VuB7OHBKcfEmPLmrY3BqPPwwROGEY9kqxMJQQQmjmLvFWMe0DpvETCQIzIImrEmhWcMJUPRNIUpMO/x4b3xB+/Olquy3Q9f++a1qzdaBJYCcM5MLX/0/Xve8lt3RhfnxfnFAjntXO3fuLVV1gtT11rFvZ6KNaGhlLWvbty6tfPKoLM9Pln99//2dx9/9GEUZwDAOTaNdOdc8CgFT2IBIQgQhBTHSmtl6lJpySVvEvCiqiQHkxfW0/HZpCmbxYneubLdbmUMcTafCyF6vV4UxVmWcc5PTk4mkwmBWy1W5bKoy9m///f/6uqNDe+Jc4VI+O1vf/v+J58IHr311a/+5f/lz159825eTR/sffb44OGDvUeLokxabc55XbvgWSttLVYXV6522h0F6NZUvUwCMO89oPfeEflADgmCg7wuTGWxwmiJt7pbOzs7nU6HaM0dsO5wITigAASBpJBEocpr8o6c886aqm61exDpv3vnZ7948KmLWdyLVCziTKpYtGKuBVdKca6kEEpwbERPAABAcPk082eMOGPk048/3FNK1aba2R4MN7unJ6feCaWF1CHLdCDwjiklfbBAhGzdHwlkiQCILxe1kCGOOeO6GWAnEgAeIDAGiJxhwpAR+rPj1bvvnI3Pc6Xhpdc2X3p1Q0nPeECI8oV+71d7R0eLuvJC8e4g64/43ZeHrUwgGKDArIpZtt2/cnv35Y3OLoTow/c//f7f/+Dk+CSJtVIR4wwBzsdnN25cI6LgQHIWRVxxHmsdKMRRhAyrqgzBz2bz2TQPnguFWuHrr72mdPy//9VfJ0kmlRQCd3a2GWNKyQYKEcexlDKOkyRJZrPZ0dGRkFgWxWKy4GD/8i//eHMjsc5RQICAv/vtb58fHAgRV7VHht/5zrf/8i/+9NrdqxfLk0eH95+cffrk+PGTx7Mk7S9XqyIv2+3ohZd2Wh1OZImENSHPy9Wq4JwjN91ORhAAPQXvbLDB2trZMhQHi4FPvv76G8NOx3tfG1vXtinTZFnqAzjnlFL9Xs/Wdb5cARBH8N56oOG1a3/zk5/85N6HfBjHXa10UIJHkVKCac2lEEJoxgRjQiBw/gz1wZAjYxTWrTdEJJLeARFIKYkc44EhBGoQSY3pAwBja3BLo6GMDQ7VWn60l3/68d6NW5svv3JzOp07X422NKBlqCBI71lV2tmkrk155VqWJKIs2acfzh98unDe7l7Lbt3eZKJU2o9GQyC+zMuyqrRmWUtxARAIPEmMIt660r9xY+t2r7OhMJmcLX/wTz995+fvRFJorYAoON9qZ2VVGlMNhwMpORJDoCRRSayUUIjovQ8+lLXRSh0e7h8fnEoe3blzozfsdHuddmfwj//4z/sHR1EcbWwOszQhIq1VkqZKSiKSUsVxrJQ6Ozubz+dCcu9stcq1oM2NDgZXV6V1FhCE4GLQ3aRAG8N4lec//P73f/2LX/zeH/z+n//ln3/9te9cn925f/DJzsYnR6fH+aq+eXt49fqAMQjBQ9DTifvoo3t1Xexsbw6G2XJZdNqKMe8DhRAIA0cIkjmPpYD39h5FWevW5pVetwdBIEMKuMpzQNHKUsbF1pXtg+MjAugNOjJSB6fH9w8eDbaHj08+3Hdnmy9siCwICUrEknElhOSSCUSBlxo8wNiaib6hBfYNBAwJAQIhUQCsmWQM0YPjjBNgQB4CYfAMEEAgNVUEdjmd0xAkMATaezT+4N2xM60HdrmaPzo6PtIRfPeP3ooSPZsVF+eT5aLgnLeyTn/QkZKFwHRiX3tzdz59crB3cXq8NHXRG8jt3RagZdx1O6rTUk0/RFEU6/awvTFq7w6yq+2kLZi4OF/8+tc//cUv3zk7u0iTaDDsBE9lYYSgSClrKp0kQF5JRQE4cikweF/aSus4z8vpdDGdLV566c5Xv/Lm8Hvds+PTLG6XrnYQDo72BWfBewq0WCyyNAEA51wSx41yV5pmSqkmn2eMBR8YMh3Julh89NFJksRKic3N4cbGJv7hd/+wzeOLi3MfXG3qvCy4EGVpRhubf/Fv/ux7f/IHuq3PxscP9t4/On9U+ZlDFzyVVXjy6PzkqLpyZTDaGB4fXazy+XAUMyaU5qPNFqAnCgFqF0JZmdm8Ptmb2vPVRryRRNm1jVHEuFZyMh5vbo5IEGq2tOVH9z7dubpz6/ruw8ePD86PHaNWN007KjBJQIJbxkRVyfFpXtdWRTKKINKxkBHjXkgZK60UCtHM0lAAxjgCBgoQCDhTwAKgIyAKrFj52cSGgBubnVYCCB4uJ7sAgQIGz5oRYymkVPJgf/bJ+4vpORLkWzutK1d7wIvNzeGTJ4fGlsNRZzDsxY1CLfMEFikGhNOT2ZPHk15nsLUzaLe5kMSYB/AChAhxHGXtZDDsbg56VxLdSaSWINGJ8Xjxs5+/8/OfvbNYzbmASEcIQUtOxCTXSrBerxe8NbYSgkexZoBSinYrJiBnaDGvzk7HSZKenp8J4f/oD7857LXm0/lqYY7Oz2QajS+mpvInJ+d5WVy7fm00GlZVxTnrdrvOOUTsdrpCyqqqiqJAxOVqxRmBL69sjW7fuSU1Ki2UVlIo/N4ffvf2zlYcJWVpj4/Pzi8uEEMAWOVlZeyNWzf+7M///Jvf/JZOcb7aPzx7cjI5nOXj6WI1HucEfns3e/+9g/ufzd58+3a7DcdH5zqWURIfH4573V5vQ8qIOVrmZZnnIZ8V9Yx8Hch6DqyVxpxREkngwQarWpppDoxiLTnjPgREEEJwwUIgCoAATMi9R/Nf//QYILrz2rXBEL0LxhsXzNG+8xVkbf/am1e2trNAPhAidwAWsNF6kgTcQ03AMahPPtg7OXJJnLz06nAwkt4HZ9CUdrXMdRTnC/v44clqboMjIeHFV3du3h0tFuGH//BZMQ9S0Te/s3vzTmqsrU3QWgrJAngKHpuKGHAEBugBA0PGhUBAIq5QRTJpRa1BdzTqbLfSQSTbEmNECQyrvHz88NEnn3z8yQefLRYrJUUc6zLPq7rWWkvJEYkzlsTZoNdzzuTLZauVDYZ9aw1AyLKs3U6Wi/zhg7P7nz1ZLKdXdrc2NztvvnlnazS6f2/v5ORivFyk7SxS0Ww8LatKax1FUZN2We+FEEqpJEmklEJIvGT7my2XEEyo57du7Y42RsONkYyz0nj0Af/oe9978+4dzvh0vlwsVvP5YjadeCKhdAiwXC3yZf7Kq2/80R9/9ytfe7U7GFiqZ6vT8ez0Yjodzw5X5nSyMPtHiyjDNJVZqoqV+/k/P6grdu1O/8n+vdt3bm/vdgNbBiJrTV0V3trgZAhMcEQMSvBYac4Y41xI6b1nTU2SAjalYeIEvkGVIePB6icPyv29cemKwTC7enVz60qrqt2vfnGwMeoNRqI/kkpD8BC8aPhUQoCGhI6xlKvgvFvM63KJrpLWmcAWOuIXp8Xk3FY5CMaGW4nStt3KiqX87KPT4M1wS373X73MtH/42fTdHx0jxN2h/73v3UzSppYRGAsEHhARmr4Zkg/IuOAq5lms2p20m7W63WzYSbZi1VNcI7MATKBwJkyn870n+7/4+c8ePXwUnNdRBBAk54Jjka8YF1rrfq/LOFprgw9ZkqRxDOSTJFZaEFGjrWyNNZWdTpbn4/Ot7d43vvH1za1RCOb+/Yd7j09OL2YffvYZIX3z618nYzjDOI6ISCnFOfdEIYQGtKqUyrKWlFJK2e/37927ly+m6MpvfuMrKk7avWHc7gXk5JwAotWqAILVaomIUgohhGIMmShMzYEpLh49ePC/PH7U+Q+tt9/+1u9+5zu37l7ZvnndXq1mq9XZbO/g4t7G8GxZT4nVs1n+m3ePy9J+4zt3OqPQGd6ZXbDv/92vt3db3V6PcZ50EqlAEidvGGfIGxU4JoRggAhBADLGGSJ7On/BAja8m6BCIJT+5kujnZuD6XS8v3fxy1/cTz7s3Lix/dW3r3d6jMAv5vn9z5aruecSs1YLgdWmnk3m5SIIrq/dad1+uVsW5Qe/OZuf1cjorW/e2d7pMlg8vvfYm7iVRTdub4yuBMFdtYxOjg8XY7Wah8m4GF3h1262j5/MD/fMYorv/fJ893q0tR1pKVlAjooCQxBKKCV0nMZZttlvb/ayYSvuRyJp7unLUE1UFZ6fnT1+9OjjDz785NNP5rNZ8D5NkuFgGMXKe0vBx1rFuksBCcjUlVKSvEvieDjsC6SqKjkjzlmZl5PJ/OJiAoAcMY71t7711ptvvjqdz//jf/qvOtJVbafj1Uf3HrgQgMH9B482ut3hoMs5d84RUVGWQkoiEkIAQF0bKes4jofDYRRFpqpMWTFyzjIVq/l8CTIixqtiKUKg2WzeSKlJJYzl/W7X+eA8IbDgg9NBaSW0Or04/49//X/8/T/+jxfu3v7d3/32229/Zbg1HLSu3Nx862J5/+HBB48vHkBr9sZXbo/n89amQYGtdvuDXz0UqK/v3vnwgyfzefHqGxvHh+Odrd7V3Z5xvjKWGErFFAqiABhArOGnT8GrjDOGvK7gYG91cVIs8tqEvSiVV7aHX/vGW4vl6v1f7v3mlw9Pj+Vb37za6mSnp8XDe2Nnoq3dnnPRcrn0oeq0B2ePz4ytjF9dv9W6em1n776ZHyy5wiSNdOK2drrtTjabGOsXQm0DSmu9VNFos7+cTK1hh/vzdn9EGNIWG22zzc12dxANBpESJIEplmoRt+J+r73ZbQ862SCJMqVanCmODIAjobOuqqr5cnZycnxwcPDJh5/u7+3ny6UUkiCU5Wpnc7vbaadxZINTsQrOtVupVHIyntWViaNWmsRVjVkakTOGHAKFEKrCnJ+NuWCvv/bS1tbm+OJMax3p6Gj/6Ke/fP/+wyPGuY6Ts7Nz64KONOfEQ5AMrDVRpKWUzjljjPVeK9VU83wIVVXled7v94uiqE3dKOD95qNPbGDkw7KqgfMkkiKEUK5K1WmlcYRCIjAnamR8ledCMOSQdpKyLGtX61hLGcpq9ct3333vvfc3Nzd/53e+8Ud/9EfXru1c7b+0kb1wY/Xw0/0fHcrDrI+elfkyfPrpY+err339jfPz6eRi/tWvvh6cOTu4vz3szcbyk08O0g6Ls2R2evb2V1+OUkbMQTPv2chLN0Vp5KYSv/r5weGTgkj0Rr2NYXJ2fvybXz5erC6++s1bL706+PlFfbpHe1vj176a3Xphp9Ppnp3Wq9wW9TJpwXA0chVBcAxkFKWAkQ+OYS0QOQSigpArjb1+PB+Xzobx6fnGxlZg3AWvEg7CyUhfLKaP9+31q5uvvLITR7ESxBlFIm7H3W57OOhsd1v9LO5GMmVMY9AU0Nd+vpqPx+fn52fn52eTyWwxWx4cHc1mcyAvOSFgliWcMe/coLedxLGWTHJAzpQSPFJaq6qqpOJR1IoiLRVnLKoKM7mYMKTRcLCcr9qtQV3Ub37ltTSN+72s30vq2r/3wb3v//AnlQnIxPHZhVLSehNrIRhpJdtZmqRpmiZ5UTZDBMg4ec8Z44wDASHWtckyWC5XcRxv7+zsP34AzD94fM/UTkpdWetCGA0Hgoicpbo2SkvmvRbKYknktea9XrusquVqhcE5YzTjQQkOrL3Raapz//gP3//nf/rRv/qTP/7ud/9gc2tjd3Bz2Nk8nj15dPLRyfiJ0Mu333jFvuytrY8OV6+8upN1zc9+9PDW3TvXbgx+8PcfhJC8/MZuZcpEbfGIQFSIAUhw4shYw12AnBFSXtmzsxxCTKxMWubW7c27L2aLecU4mx6zxw9W3gvOfSvrjU/rh/f3T47nUZS99Y0b/WEiJTIWvffOQ+cCMJe1E6GcJ4agAhgEIs8gaCDZ63Uf0UXwfO/hJI7ZlWttY5dSm298+1rajaOEJRo0wyxrtZN+Jxn2Wxvd1rCTdrVOBdNEPISwXKzms+nh4cmD+w8PD0+Ojo/OT08YhCzLOu1WFCWaq04WcQ6MmA++rmulFI8iBliXtWTc25WQsp21GGPGWmNNkmitdVXXRME6u1jk1tT9Xu/WzTur5erxg72zs7PDg8MXX7p7cT4tCvOr9z788NMHnkTcUgg4wt58No8VU5JDoGu7V9rttnUuL0tAJqTiXFpTcYacccllviq4FM2cDGO81WovZrOqKnevbvzrP/1DDAEkSiUb3KMgwMqTz4skixGcd6SUzrLMOYuIgjPwXgBrJVlRlFzFURzHcbRcrhhnc1zmefFf//N//fE//+hP/+xPv/Y73+j1+7dGb17r314UF+fTg4vZ+WR5ntfzjf6gduViNXvzK9e7/Y6MYbjZLkpvfBXForOVcek8IkMFwBsSuUawEBAC+VYvevmNKw/vn62WuPdkdbD/6ziRcZx4S/mqMjVTkbj9Yr/XTX70g/fmEwTQ2XYsIeTTpbOsLsrzwwJQIQvtVsoYmQprJyxSAHd4ct7ZvCLR58Vke1d1umnSSuOWAoRY4ct3tyIhtdSJbLWTzqC90WvvttNerFqSaSReVXZ8ujg/f7J/cPjk8f7+3sH5+elytXTOyijiUgrFpFDAyFljgDnrgEEcaYbM+wBA7XYr0vFitkCQWdpOYr1c5sWq5AK7vVa/mxVV7R0kceqcqyqzXK42N0ZFUfzkpz996823zifj3evXrPdn5+NHjw8fPDwkCFe2NofDflnlxrqLs4nNIc3i4camlEoI4b2XUhB5hKB0TMBCIMm5d361WgGg845xHkXR+fl5v99frhaM48bGSCtljWlkzIwPRITf/YPvyjqMxyejQXd7tO0JUSouGDLiHBSXtrbHJyfAhLHWE1NKG2vOzs7TNKlKs71zBSGcn58prQYbGy/efeW11966dn2322txDpVb5Ha6KGbT1WSRj2fLSV4vKztztnYG87JyVEWx4gyIAucCiAMw3pAdNIAOhgQOkBDaReGmk2W+pLyo8qWpykDkhA7dTmdzZ7CxI1wpf/T9Ty9OXAgMmJWqgVh7ay0FzigBpFfeGLzy5vaTvYMnjyYC0zTTSdvt7iZpEtVFiCKlBALKWEWR0K2o12uNuu1hJ+m1dU/LluAREdWVWc7zw4Pj+w8e7D/ZOz09nkwnIXgi1CriAom8kAyE8MEzIoZI5GMZeQdlWbY78WDQFUJ676VUQnDOxHK+0kooyW1dhwCcs16/naVxWeWeeDOEWRT5xcXYWdfrdil4ybHT7R4dnQ0G/elkssqXtSEVt67sbDLwrSydzifji+l0Mq/rajDsdXq9RiKoKIo4jhrsuZTSGGdMvTEaSCGVVCFAXhaAuLu7q7UeDof3PvuoyCff/e63pUBbGSY5InIhpBD4R3/4h7faaZpFUsez6erBo4PS+t6gu7U1QAZScGfDbLFwLtBaF5bleV5XtZBCCDHo94Xk3jtr6hBgsax8YL3R4OWXXnrh7ovXb2xlnUhKheC985VxpV8U9TIvlrVZOG8DYUC3nn2FteyXD9Y6WxlTVKUx1obS+KklIiBijhhbg9kDGI9cOcE9Bw3OA1dlCccH09msMMZxJhvxXiDng1FCKqn7fT7caFlnGTAhYi4EghUYFOpItiOVttL2IB31W4Ms6Sc6k1zVllaT5Ww6ny9XZxfji9PT4+Pj8/H4/PwCKSjBoihWah2NXpLJEhcsTlIg8s5YUyslIp0sl1UIYTjqRJEExHyVR1HU6bTXuGMKgmFZ5FpFQBACcc6IaFVWVV1zzi8uLsqyjKN4Z3uLMwzeTqcT5Mp7v7GxWVe1EGx7Z6OubW1c0eANlgURi2PNOUaxLqsyjuKqqhaLRZLEAKhUVFV1FKnN0ZAIOBPGWOudjiLOebfbWyzmUkC7Jb/61deALHm6FE9HZAz/5I/+6A/uXhMcPUDS6RsLj/cOPv3k/mA06g06eZkv8lUc6SxLkUjIaLUqV6vcGMc5Rx50pCOlnQ/WWO+pNnWSpoFwMpmXZT0aDa5fu3r3zgsbG8NOt9vu9uMkZhwbokQCT4ChgSQisrXSEwCzIfgA5F0wti5tUdTTVbFYFrNFPq1cXtvCeRMoVGQcVOQtkGAggBEhCCGImPcBWHg64IFInAEQgfdATKKOuNIqS+NuFre76aCTDpO4E6mW5JqZUOblbL58src/m04/+OTj44OD2XQWKABCJCOtI6VVCCHSSnBga2FxDIFCcIJzxjiF0Om0OGNVXSGRVFIrtVpaImx34jiRZV4wxpM0iqKIMVabmkKII9nuZN76unKz6fzk+DwQzGfT0damD3RwdMIYU1LEWnGOnVYmhGhlGWNYVeXW1maSJoyLJ/v7q1XpnK+NLfJSR5G1djab3r59o+k0E1FZFgDYwG8451maRVHUTAw3CHitFQRiHC/Ozwb99s724MbNK95bZ0OSJA1XAeNMEICI4lYsqzJfTE5anX435i9cv1K74PLc20orPej2k1gHZ7nSFAJDssYorQH5fLGq8pxz6V0oyhzQQfBCKM150u0woscPHz959ERHSkoxHA42NjbLsmRMpGkGjOVFucpzItvYFBdccJmkSZKkkdajjVGr3Ypbabc3kpuCMDhfO1dZX1amKmtT2bKyZVUXdV0aU9auNt5AM4DMnfOeMSQAzphgMuKpVlLLpJV0W7rdS9px0tYyQxDG+7Is52fLx5Ozhw8eHz5+dHZ6cnp+kZclEQBHLRXjQiFmSRpHkZTCh8CQIQalZMNCnyQJ4+isDd4H77MkFhw5xwhUkiacMWtKzgMF1umknVbsWq2mz8Kl8N610rQqy+UyL4vKWTK1M8Y8frIvhHr5pTsvvPjir9/7sDYuTTPOeW1cr9suikpKOdrY1FpGSQKcBeCPHh9WZV1VhjNmjfXB13WFiFtbW94HYCgE994LIRvgPQBEUbSe+Qc01l2CEq0S0hnjrVnOZ7TVu7gYG1N7D4xNASDPC++dqOv6vXuPXrq1e31n43oS/ea9Dy9OzweDDRVpJdXP3v21Z3LJxHzslFKMcxN8kkRZqgjCcmkl44ROK84ioTWTUsRRHCfx4eGRI0fkW63EGJvFKrhAxh48ejSbzQbD0ZHdJxLzRR4CKkXO28lkspgvmqp/QyjBGBNadvrdra3t0cbW1s7uaDDstrK01eokm/1YCy45A2COyFhfW3LOex+c9zZ4j7TWEOWMMaE4RpJLzgQShjKUi+LkdPLg0Qf7B/vnF2erfJkvi6KoqqqKtWKIEDCJUiEEFygFRwBXW87Au5rIRVoLwRkXaZpwxuu6FoIDUJzGzjrOWBxFPjglpUgl57zTaTO0deXjKE0SXdV5XRtrrLewsbHJNM0Xk3KVWxNOxmdFnt+5c3trYyA43bhxHVGcn5+fnp0JztudTidLrl3bdaY+2HsSJ+n5dFHb+vzs9IUXX0DKz08vGo1pGSvGrfcFAKRpGkURZxgC1bVpvI5zzlqjteaccyEaPKAPoa7r1WoVx5ESwjsTxXGaRvv7h8YWQgjOZJqmUaQRUSmF3/nd7yQerm0PvvLqXSHZ/t4heWxlcbudnh6fHRyf58YiYlmbLGtxIbkQ3V4niSNAyMuyrmvGQGtVVXWRW60TZIxzLIpVXpatVgsRZ9OZFJIxwRGtc1rr0aiHDK2n8/OJdaHd6VjrlstlVRWNiJizrixL18DWEH0g56GqTaRUonmrm7Xa3SjKOq3u1uaGjsTW1iDJNGNxnKZKCmQoOGONEA9j1tjK1ZPV/OT4bHoxOTjYm41ny/lqsVwsVjPrrUKphYqiCJGF4GMtueDWB++DkDKJdQiBnBNccM4ISSkphADANImVkghgrPXOCcniOArOM2ScYZZlaZqUZQkAGxsbCKHIy7KqACCQ94GKVZnPl864JNHO10SQpe0ojhbLmY7E5uZ2Mx38zi/ecx49IdeRiiLFUEieRCrRurYur+raVHVVjUaDuqrzVckYQwAp1Xw5s9a1Wq1GW0hy2XDDEQBQYBy890qpLMuiKEZkURRZa1erlQ9eCA7eEwXOcGuzf/PWLjKvlUIUXDApuBACGcPv/eH3bg+vYKgiiZPpVOmo124rSaNRbzXPozgx1lbGEHLG+cHhiTGWqNE+Zmkry/Nca7G5taGkqOp6tSwpsFY7DsEXpWmmQ+q6LsrSehdFUVWW1rlUR0qqVZ5zIbgUQkljTNMOAwDvqSqrQJQmSZKkVWVqa1Z57nwQnAfvjDV5WdUmGGPJu0B+OOxrrcCBirQSUkcSEaSKEMFab0xNRMt8WeamLmtrc2AoZJTGEQJ477RUOtKwFueiLFFSSeOc99DpdSUXCMiItNIExBUTQmitlZRaa4awXK6yLJNSWldXVW6NTXQURzpJEgC01lEIPoTZZCEEJwrGmMl0LpQ2ZWGqshVFrVYqtYwinWVpVZdlac8vJpPxjDG5ubmdtrLa2dLY6WLlfEgjVddlGkebGyPnnHG2GX+zzhR5eXp61um0s6zlg68qE8dJFOkQwnK5ElzWVS2ljKKoKIo4kQCgtY7jmDHWanXSNPXeLxZLAKrqyhurJCfyv/M7b926dQXAERAQI/ANb461TiDQsJ/N5+7J8XGsY81UTcCFnpXGos/SqBP3pVKtVudg//Dw4KQqq95geHJ+MZ3PzWPT6vRr6z749OE33n5ze7u/mOfOEmN8lS9n00IIjgwirRnH+XJlaseYGI3axaoMAFJJa50xNZVMqYhzxpkIIQiwsWJRFCVxoiOteVitatVKGJcI6JwJ4IuiPh8vgrMgOHh0tVHIENlyPuccEUOSJAS+lbUooFlVXDABfthLbKYQUgQMLhCRs44r1WpnIBiFEEIQgnfaWbfT9j40wwnNUGEzCq6Ulkp475qkRkWaiOJYciGVFHUNq/ksibNut8VYYBzn03w2XUZRXFb5dDLPsrSqqpOTY2Nsp9vpJMmLL77AvDWuWpWruJN5R08eHx8enfeGvf7GMGu3k6RT1Pb+k30AbHfaRGRro4Rqdzq1tUCBcy6lLMtysVwuZgsIILls2Gc63XaapSEQQ+2cmU9XnAvvfZ7nnLMQGgkuzpjQWvb73SRJjTHG1nleOEfzWTkadHq95OzsdDYdc8FgTRrJOOPQNDGJaLmcB6D+aIgeYh35EM7HcwqegE7Pl955zsWgP1wsllGcdXt9YmyW55E1Usra1NbTcrk8ODwsTf7Zp08YqvG8k6ZqZ3OjmSZjDAl8O1N1Gaq6TmUEmlwIUsom0PHecpAYUADnSngHgTPBufPOrWoIPtISELmUwQcfNDKoTZXn0wCinXVSrTCEJI5UpMuqIvLOm9FGv51l3ro40qauVqu8trzdbiHicrEMgThj3nljjFSSCxGIrPdZErfa7SyNI71WJSaiWEVxHNWmIvBSkhToPZNSRVoLIYqqctZAoHm+Ih+0jL3x04tFVedSiOUyz/OCc5a1YmsL7+VsNr527crNm9fJ18v5vLZ5O80iHnsUH3z42Sov+4ONazevv/r6K9PZdDKdv/vr33hAzkWrlSVxEpTPlwvOVbh8NHOAxhhrHAC00lYcxXm+okBaK85ZCB4ROu12VbqqrBhjaZo27BRRFHEuhJDdbo8x5r1L0yTPo8VyYZ1ZFYtWytudfq/bXmfJjeI0ICIG7wFAMMacc+eTsZCq3+7rKHJE3gGTrKqMdaGq/XR6cXQyr2uTpUpwdM7PV7mQMs1awXvGWC+LZ4vlqixn82W71RtPFxcXBn3Y2Nig4Iui5IyURI4+WDOfWKYkAXnvldJEvt/pSyEAwRoLSExw68gYU1VVpHWWJlyyQMQ4VN4TUpwmbZ8NR73SgJRcRzqNFAWPLKSZZowppfr9fl1UnDGtOUPkTKXxQCrlrBMQvAuA6IN3ds2wzRlHzKIo6nQ6WgnnXCDSSsVxLKUC8lXtuMAk1VIoIEbE5vMVAi5Xy+VykaaJ99baoGRUVXVZ1r1ur8zrdqt99cpWqx13+93ZdGpq51yxs7PBEawHQLHIi2U1r4raGd/uDq/fGQTv4iw5PTv74KNPGY+sw42NvrUGgqfgEIBxFJKVZY4IzfxNXdcnJyeMM6lUcCGE0Ov1CKjVagciU5cueAAUQlhrm0p0CIELCYic8yjSDbtXmqYABpH3ev3l8kmSyFY7GQ76O1e2OeOAxBkyhg3BftN2FSEEa52SyjhXlMVyvuQq4pxJia1WigxXRZEvl1KqTqsdpdJaY4xLiRGBUpHkgOStklwqgNDttLWWQHg2XnxY5PO8rE2FCLs729PpnICyrJWvTFlVrXYLCLz3UsbG2iRNizxfLJedTqf5dpxzpRRRsNYYA0VVjWdTZ0Or216VpZAqzTqTo+OLSeH7vXa2o6Wu6pILKbhcLvOL8wexEFtboyxJRZYulnMitlrlVVX5S0brRhSw02lnaVzkq0CURrKVRnEcI2JRlkqpSGsfvHOkdYzIvBUc1Xw2n05n0+k0X+XFcpUk0XDUa7dbAfx8dsEYs7V9cH/a62Rfe/t1HUGSJIyxNNLWegrh4YPH3sNiUfYG/ThO2p32FCb9K/2dKzvI2cX4fP/w6OGDvcWqimLqD/tKCc6Ic07BEzVj5oExVlUVIlRVNZ1OjTE60oILjrzpVEolvA/GWESsKluW1XQ6i6KogYk1f1dlyRlzztW1SZN0uTjrdLvz2WKwMcxXVStrtVptrZPFrGgYMaTgQnLEAEgN6kYAQF7kXMhOO7W1RcTFfKG0SFJNYHWkOu10MdOz2SxNRlxEy8IgsCiK5vNFmibemVgJzhkAo+D7nUxwUddu0O87xGVp54sFAhWlDc52e1lh3Wy67LQ6eZ43iorW2sd7B9HZuNvr1o4m82WWJkVRFHkexfHmxjCKVF2ZVVGT4xTg5OSsKHOlI+swjuN2K7s4OyVnb928WZZ1NV0mcXZ8fMoQrr76QitJnQmroji7mDAlet3OajoDIIFCE/fOY4CLs7HaGSFQHCkhOVEwzgNCkiQI5L0x1t27/7iuvantcr5yluJEp1mktdre2tK7EjEQuG6npaOoqIpW1ppN888+e3xlZ1MK9M4cHhyayknFirKuazsabfb6IxXH3tdai42NPkMxX+Qnx6en5xcHh0enpxeMqShK4yRWWgBSFOmGuS8QtXULmthfK6XVxfmYiLTWWmklpeQSgIo8H6ZDBCzLEpHVtQmevPNJL2kAQM45RN7UgaSUaZpZ68uycu6iLKtlXk6mq163++TJ3t7jh0JIKaWQQkrBGHIOIXghOOdCEICUkiG6qmIMVaKl4oECQVjmVV6VUdyqrSgqqJydnZ2cn18MBwMtdRJJyaCs3cq6NMskD6UNnEtkqJTUsbYheOdE1hKMu+Aswzw3db303guWt9stxthyuczz3AVAIaWKjQuHx8dZHPe6Hc7Yaja7fmWr207OqiKW2G+nyNl46jj5/mA4nky8KYeD7d3RQEjWyqKtUXc2WSRR1ovVcjljrsr0oKyqB5/eV0q++OKNazeubvSyw+PT5bzY2exvbHXLsjo8uCjyclWsADDJWo/2T56cTZfz1ct3bnzl1buRgkSl+wfnZ5P566+8IAABxdtvvx5HDCFwzlWkBBfOucVinmSxPTcH+6cX59M0ja03j/f2pRST6bTf7SmtlUYQgkch7STosbTUbre9Bwv0y19/+N5779fGDgej7mCgo8gaV5YVhUQoniZxo78khXS1YYxRgx5kMoqiJEmstYxzBuBqk6ZppJVgvCxLIgyByrIOPjT8gs0IH2Msa2WNCGmWZd4R4wwZVqacrfLjk4uyyPvdVmd3VJmCMZ5mSZqm3rnVchUoSCHyPBdCiIYCwzlXVXWapY1yJwBJqYy14/EYcQmkOEcKtJgt4ihSQqZx7JVqALOAWNf1pVcMIYD3HgNDziKtNOeCC0Aw3nofWlnmvQcKq9WqKWFFUcSETNP0/Pwsz1fGmEVArrSWujtsP3p8mJ2q3qDHEFtZlGXpaNCKk9T5cJqlIYTdKztlteIcBoOeihQDV5fVnbtXnB1c273mnOt022995W5d1omMAEMkR7GUtQnOOcFZt5tGkV7O6sV8VVvnfJgsJ4vzyWK+mLZa4pWXBu02CPra1177u3/458V89tpLd67ujJJYWFspobROdZQsV0tyzpSVdbaq61a3NdgYRFp5ckoqRBbXVXfQm07nxycnw+EwSZP5fJHnZRTF+/+/sv6tZ5Isyw7E9u2cY+b+XeKWl8rMqq7qZqtJNsieC8mZgcSRBvMkYDD/UtA/0IsgQAIkaAgNNCLZbHaz2dNUV2ZVZkZGxHdxdzM7Z1/mYZt/VcTEUwQiPg83s2P7svbaa/3mw9Pz6d/91b/77jffT61+/vmrd2/fXNZtjHE8Hlprbl64mZmZz/PBzIhJh9Zaz+czXGCaZ0QEwKGj1TaVlvTN0/kciBEwxkib4xdhUzO7vb1ttaVUkbuny9yyXNTj+bR+/Pjx65+9nRrf3R9uca61Hg5z7out20aBaScSARIAl/PCRERswyGXRCHW55OattLMIsCKwNi2qbXj8aaW0nt31ReFqNzf27Z9oTpdypBpao0CwqNNtZIYmjBHETNb13VZluPhMM8z9z7WBcOE6DBP6vT4+IwIrYoN3ZYZUJZte/P6/uZ4WJbl9PTcu4rI8TAzwR//0R++ffvaQtdte//jT69e3/7qD39xeztVbpfzad0utUmbKdR1bH1dj1OzsT6dz+eZ7u+PN8cW21ao/exnv2Kp6n/6/tOn779//83Pvnr7+jZ8q9P8D/7kDx8fnv7m3/+t9hFD3z98YhG3rU7d4cO6rofD4e7+1XRz/OIrEa4Bvm7PP77/9O1vf7ssl/tXr85bv3319oefPp0v23LpgfD+pw9Pz6d1G9vw9bIIi7ur6sPjpyJN+xjYhcuynpeC09Tcg4jcws2JaFmWIrKNQcSqhpggCHh471ttDQK7KjG11lIxCAKS9Zxqf6oKCHd3d58+fbq9vXk8PQyz82V8++1vpkluD/zN15998/WXI4yIipTcuZvnOq56uu4m4D5cuTVE3HqHHmZKwkDYx3BzBKqFarl1V0ayMVYdhQU83D0htW3bEElEeu+qamZIeLlczGwqNcwRI8AQ0a+i4rnMtazrsq5EUETubm9e3d9tffQRbmra3XQ6TOet9w8fRej5tz98fHxez+ePnx6QpbYJAKap/fDTp6++/uLDh/ducXo+TXV68+rN3e0v3A2Jzuf14VN/ej4zybqcwf043z4+ntbLOe7vnj5dEOEwT/d3dx5WGBDi8zd3tq3n58feL9t2efP2M6DyBz//+vR0/td//m9t2dos7774/OPj4+eH43ysh9tbYhJmh3Bz1bH19en58XQZl9UA29bjf/4P3w613377G2EW5MNhNlU0p3Ddzq/ub82s907I22Z9u7jZ89Pp9uZ+mloEmnlurWfTni/qNM8BeDqd82aq2uPpMQBE5LJtIoLI7Gg6RHie29PjeReemg+tlT62u7u7McY8z4CgakPj199+d9lOX375xZef3//ql1+9fffadnnc3VopraqYSKQChABirWX3CSRIcMnMIVCH5ilzH2lF4u5960QEFYV4qDbmFLFSU2appWQwjIB5moQ4jWrGGAHGLAiUQlcQIMKAaKpM5B7btqWnREMQFMTGiAEgXUUKEV6WxZHnm/upZ6qkocbO3/72p7/77Q+E2KShw/v1/bffff8n/+EP/+DrL25v7wDqx4+P22pl5ldv3rUijdtX3/y89/7wcHp8ehbCgHCkf/83f9379ubt22ObPn16eng6/cGvfunQfvv9h8eHBzV/9/bVH3zz1TSJg8138yuCkABiNSPHDx8/IHMAPT2eL8tlXS+n87pum5uPkY9w+uyzdwTY183Vbo/HgPmyLMepDPfp7rZ369sAJGZU1TH09vYoIpf1HODTPLvZ6L21OrW2VzMIOaZIOTYWycY+ATaIuGwXYnz37g0RTfO8XJasUvrWkTA8pJbj8fjTh4+PT9sY+vDw6bN3r17fH/+T//QfT1N7Pp2CiEgoKeqICMCIbjZigwABgPNybrWxiI5ByOamagk4IiBg5N4xEeko67qpdRqj1gYeW+9DVUSaiI7h5sKEEGOMQqXVdhW2CqIKgaoBgObqrrkCk/JvZm4GbpHDcydiZoNg5uNUsy89tgLhQPzq1f0Yw9SCiERUIULc/bL1u7v7u+Nx27a//Jvvfvzh4fb2Zmx9WZd13ea5/dmf/X0t23cff/PlV18tw//83/3Nd7/+zdv7V7c38/E4r8v57nZ+dXco9TAC5Dg9nR/XrEmPx9oaId6/vUeJy7I9PK3n8xaxPnz6u2VZ7+7uVc09htqnTx/W9fL555/dHKZXt8ci5bJcWmuuJqVs63q8v936NsZSajUdGMQQjWU61JP7sizbwAAoRZ5Pj9M0IaEjVGYEWNe1j4HEuQE4zQfA9fHxMVV1csU9x+kRMUYHDES+XJYsp0SEmXMsP5XCxEzlN7/98XxZhsGvv/3u3au7rz9//Yuv3/3ilz93ZkJhkbQSeBHxSdlniAgMCYCh4K67k2lYahMEQJjVKgDYew+A1hqLTBMNHWvf1linmsM5cI/eR6JMgOTuwsIkiCgsfXQzY2IiAojeh3ma1Wkq1acKbEY+InIPJAdANWOyWksKcpZS1AwBiJkjAGBTxeB5nrMOK2WYLcy1NiRuj5ft4bxeLhdhGX19S/zrX/84tbJtfbP3l238/7/98Tc//PTxtEjYz969ff36/vFpY36iOv7iL//qvCzf/PybPvr63U8QUUo1Vfh3/+G8np6eT4TSuz49PYfHz7768g//8A+muek2COiLL74YYytFDtP+/khJvG3s2u2Ix+Px+VnNvE2TSAUAC916T4bX8+XisSP17j4d5t77dlkO83w8HscYz6eTMDPzuq75frp7KUXVelc1E+FwYCEEuL29PRzm3oeZjqEAsCxLKQXBpZTT+fL+/U8k5fsf34f3X/zil//5f/Yn//Sf/hkzmQ0SYYoXb5S0lnCHoSM7JwFAdRhDWZj+IyEyIKRlG6qjiHjg+bLuOpPhahamggySBhqIV/W73WtMBALGGIkHujsTm9teZbuZo0WER1obmIcIuBszMiMFbsMggpjW3t323dQUAN3nwEwCAldYjIiIYlvXU++pUWQRRcrt/b1IofCp0G+//6l3u7m9uWzx2x/ff3o8g7T3jw9hYwj9tK3r5RzmBNy3UVrl6SMR6dYBgbC3qdVaVTFCbm5fSZHPP/9ymufXr+8RHZEOh0NYIOLNzVFVl2VFBGYmpIiorZpaTkhUVWrbtg7I5rGsCwvDLkwBzLQtGzOnO9P5cjlfLlNprVYzq7X03u0qFZdHJ64Gj4EMEH24qRbjV6/u7u7u9pH2nr/25a91Xdd1A2Ik+vDTj5fz4x/+6g/Op8fDXB8+fUJkJko9zFoqM0HatyIkVsmIIlUiQoQcnRg8PDxG14hgZmJ2s9paqdXMhjmYznWqrWk4i1BQOuCZOQIwkofnZedBSbm7/XG6xa45T4C0O6AQ225ZAQGEREPNPBA9P8G2bqHhYe5djRnVDbYX5XwMtc291oqI67JGABHrgMT+h23zPE+lEpKO9bxsD0/nHz891CrvP3xQoJvbm9vXr9V6LWX0wVTevH19qEUKt3lu01xagTF674QkIh5+e6x99JvD8XA8MhESq6l7mA5gykveNgUA0+HugCAibg6+P7nHx0eA3cCGWBImRqEidVm7mddaYVmSH8jMbkBEY/QsH9d1Xdf19evXvffn5+fee76lZupB69bzjRpDWyuHw8HMLpdLflpGwRxEuPZSyrpsp8tyuZz/+I9/9fzw9P773/yf/0/fz1NtdWqttdaE+eb2ZpqnaarzYWJCcn375g0RExH+1//8n/OqrbUxxrou7uAOo/eb49Hciak2ERZzNzMMAAdiUrPbm5tWy7ZugDhGJyJGSkO1bLJESgq4CIu67muCSKq6qaYbO0CYasQujAcAImLu2TFGQPIfENBMVbUUIaYUEUZAv75MZuoeo3uptYioKRO2ss9DmViEPdSUTudtWdenp0cAvL27u7+/O0y1iExTY2bhghBAwUyJUkgpNoaZt1aXZYWIVgsTA8ThcGhTQUIE0e5uMEyBARHcjYjCrW+bqZVSe+9mhoBj9KEKEPPhUFsz89PpsvUtwo+HG/e4LJfCpZTi4R6hqrpfb0xtur29XZeLux8Oh6enp/Pl7GapNhkAW9fTskEEER8O8+tXd0y7D5Obg8NyWcwUAY7H42U9I+JQ23r/+usvGUdl+eabL29vphRg3npfl2VdVwgbvY+uqgqAQjzNrdY2tSbJY1+XNZ/oZT0XLm9fvUaAEc6Fx+imlpFDLTxCQCqLDTUCEYyIYEQEYYlg1axscsKyERHwTnVLxcOIIEJP+CqFxoHcyd3T9BUIPXZvvd4HApRSEBkxkNjd9ZoIXtqNCDAzRIKIZbl46DxPVBoz6TYiwsxJZD7Wm7ubddnevL4lTI8OI4RS2GykTtT+HUBS9dqGAjARretY105EZmGmpvbw+Hxzd8tCbjG3IzhpbK7mqTGKqKOH++W8mCXN1otIChhweiOqnc+Xy7Igkampm5shgpt3G44AiEN9mNVazeyy9sv24dAqEf3w4/t1XRExwvB6e5dt9G5EJMSAVNsE4Ov5nHkAw0+XU3rnBCFACFNtMs3l6eHDf/Gf/Okf//Evj7dVUmyNipRCSGZKgWkh1/tYlu209PNl2bZ127oEBCGVyskVTICotRru4aqqBBCI7q461NLti6jWBB4yl3iAMCNg5qlkmMeLe0u6EezkdgSIoSP1fc3czCBCdcsg1HsHQnfPjf9dtvwqNDbG8BTCc89EmVgU7h4tfBWPoghQtfDofbRS1I12C0Y1dQRCwGQW9G1ABAuPgURGhNu25bMRkQgQLlvf1nU1s9Pp3NWJKJen6qfT1jsjfPnlF4zw/PyQOG8Op8wUAd281KZjkIggAOFpuRTh4zydl6WrBtByXphpXTaPQAQzY8KhQ82kZvTyWkvW4Iu7meZcPQDMQ93NXHWs2wgQxGi1Hg6H3vvLWxoRp9Pp3LdkuD4vl+18+eKLz1opP/304y9//tW4LP/mX/45MbRUD29tmqapNSlSy9ymqVYRoZubcv/mttaJCJFIEt1BkeyDaq3C5NprqcN8jE2kCDMCjAEUXmsVFh0KIjpGZitm9oih4+XoJI9TVfcU444EiV27u14F7vbb7ZBBJaNOypv33j2iShFmQEhFYet6FbCDFwQ8byszBxDvmRExDVw8ELl3kyJmbjYicFlWzuUzRBHZtrFtW85V0gtChBKq770zi0v03lMph5i280Wk3N3dfvx0uVxWYvnm6y9Vu4XP87z1Lld+MQvtcqFArthKIeb09OxDt/WRRALIAYFE3WPrLJzqWFfz3xhjmJuZAez5+nI5pfupu/cxgHmeWh8XdYhADzsc5mmazucz09FdPZly5ohYS2FmEXEzkcZU+rK8e/36P/uzf8zR3XzbtnXdxli3RR/85G5EzCwAQUSlkAiVeZrnQ2t1mmbJOHC6XBAAAUWkMqE5Ywhha/XFV5CJiCWzRmE21QgPj1LIzMDQXZm5tYaAWe2nwGeqsUJkGEuLGgr3l7mHpxQUQtY9L9CRmy1DW6154/IgcprmImZWzSBnZszMRBmcsrwz86CrPHqgmrunLx+pujC5h/tIxNY9zAYAmLnKC0AFiJAHNOPf8XC4+WLOqHl/aEPtcHNzbALhVYRreXx6zs4LAJZtMTMiSsMazbfHnVlUh6k2YnNTuxqasai5+8i1IBQGN6nlrrXnp6dt29KyhFmmaVJVYV57X84XzR8bCoiHeZ7nufd+Op3evLrbbJhaH+PLzz+/PR7/8i/+8thmETlwvVD/9OnhOPFU6d/+mz9XX93DFBCZEVsprVUphQkQergxlY2ob93piZjcHIkkIPoYhFilNCnCXApTxaztb2obagC46mYGgaDahdkRPKK25uYOQUgejkgBgIRmmh6rKGKmFrkv5Wae+Tcl08wNAgqzU1pogkjOg65JEMLc1nUVEWFh4QQXXlpWNyfigLRXxghHhOSphIO5mxtGHtOxm1pm7HPTMCZikd147updj4gx9ktBRNUlaQ8inC89IibydDge3a1v21iXWutQ9bC5lW3bejczUw9zUNvPdCD2MZgkDMwpSLqFZ6JnwKBwLyLdFIkMQoeqJg15Nydpc1oIxqv7+8enx4eHx7VvaRVaS3l1d99qUe33t4fH59MY47vffL+u6zSVqVVXJYz7u3uiQhTbti7ny+s37Z/+sz89ztP/8P/+F3/6D/9hZd/W5XLWZVUwX9YVtzX/dzdjEgKMgBAkprQAlGx8GIkQs+t3dwdI+VomDoI+lFBqlW10VRNmQiy16O7BAhHBLKkY3cfgtNIlMrOheo1A6YWYfscBFHmGmJgJh2q+7qUUASRmU+Vgnriv24vYizDD1YvT3d0iWblMHA4BO2SAmD1UeDinNJWnHTNkNE97YTW9lliJact+gALAosdgxiR65me62zbGNE3bGGbWzcAd3Fn2LnWa6sugKr2o+hi76URkIqCtWylsgeu2sVgtBRCGKgFAoEao6UVH2gOUsgsViohQ2bpeLus8yzJNyzqeni+925s3rwi5lfKLn/+8CEnBNh3/5m//w/v3H7Y+SmkRPvp2vjy7DzUDi9aKh729nf/Lf/KPfvGLL0upv/7qF6fT+t/81/+M0ZGmoYqo6cimpgisatoHIczTBKUQc6YXAQAdI4gD0cTmeXqRfVZV4cikkG4YzHw8pihX3ibK2iXywZjx1Z4yPBwhB6sRnoLK1xGuI+HLIHaM4RAJeOyVte8y9RGRAzW/Wsybaf4+x4cJzMPV1+dFki32qOI6Rg6KsugmotE7EwEjBKQuTgq8ZYv4knaJEAPGME5C7NXdt5SSmHKWX5xzm912yB2ciVjKUPfAPrb8fLyahKaDjKpmSeHZ+6k6hBAnducRbs5E5iESeXoAYPS+rZupXlZ6Ol3CEIzmOt0cD8f58NXPfja1aZ7reTmfL+ffZXbiMUY7NGY+PZ+YGwASwbvPXv+DP/mjV69ufnj/oMMPh1cPTw//07/6S0KoMt3eHm7vpmmea61Sp5LS48TggQA9ViAD8LS8xFKrjgEWquoepbK5J1FYTfsYYyhJyY5JikytJRZjESJibjoUEcFdIyJ4jFAzLjsv3T0ilFNug7iUsl52O4+MJZErbXZ1hAG6jiaKqhFibt2qWa3Fw3rvWXG7harumYXwJbvlBKDryPu4P28iQWKRcE/n4JfTlm7Rv//L3YiRCHp3kZpnPQv2/TUwj4htW+fjDIzazd2H6tQaSXWAy7qqafaS+a0S4IgI1RERyMjMxOTu2jsKHKbGLI2xj75uW74GIrKu6zRNpRQAfO69r+6Oh1Zv39zcv7p7++5NlVKEGMPdisjxeLwsv46IVouqhivhzMS1tnUdtdTa5Be//Pqf/PP/4u7+ToeZwViH9+359LRczpen53Vdvv3tp8vlO9URAeBQSyksLWVd5jgep2maWUgQgYiQhcsew9WUiQ2gSNn6QMRaq0XW0emx4gJUCi9dEZGRgsltf4PHiFqL8N51R0Qp4haAwcQsvA/q05lljyWRvYm7p2aziOQCfy6dZ+md5obEV1fegDyRe/u2m8RDPqorVA2Xy0VESinu1rvnDnW6iWe+2xNi7NBANr3M7GHMFOGqOsZIeHfH6IkCIqffY2jvAwBrLRCAxH2YRZi7mgvg/rOAtZVwXJY1AkspSUYmJwA4HA5MhIClSN+UiZ/X52ma8t1g5levXvWu67K6xTYMwj97c/MP/v4vp2liPjw9PLbaCrPFPlscvZciAMDCRY5taqpDh4VbEfrVr37+sy8//9u//vfMhZARqVapwsA43cy3xwkx1LT3PnTo0PWyXk7L8+Pz4+PH56fndev5ZGttQkitFhBm5lab2XD1eZ5baxl+04sR3QCcp+YRNjpKA/BCMUYnplZoc41E5kXMnAg5giECAt2rcBpDMiALgwAidlMpBS1lvXndtsJCxJpnGsHdzRVIsosREYBwA0LO2UjSct39KuiML0ECAIpkPxzMWIRzeMCAbu5qxiyleLi6gxABuKZzFakNc08GASJllk8dgt47Uyml6DBEhqC+jnk+EFGYY6AjIIWrHdq04paMYVXd1k01ahER7n0MDQPCwCJSS5laczcdo582jzhM7VJFmEtpY4xS6PnxfD6tfayEcFPK1199/tnn9zeHG5G6LJuZrtu6ATHT0PHp+fnx6YkAw7WIEICpnrZLZfrlz7/+e3/4y0MruDx7R2SB1GJvxRsDQCnFU689cC4yS5XbA797QyQQnoNL91jXTXW4uwDEzfF4OZ9LKcTUtZvZtq5SiupgEmKKHXEJU0VmJkSIq0lPpJFpLeKSbvBp440iJXHFUgoCeESuZJuZW3h4AJiZBCaeVEXc3VSdgKiUUszd1AmRRLI0yXXupHwg7uIbGZwSOsr2Lbu5HMwdDnME7PadEQCUVb+ZYbi6677qgAz4km4ymgJAQhJSCiIt62pq9TCPoe7BDG5OyNo1UzkA9P3VrEzUattGR0QkbFPrm27eESkrP0IiJjPDWhOaSJ5hWne1WtZtC8BS2+vb+4eH58vlJMJv3r29nQ6fffbm/u7Q2vF0On333W9ERKSt62Vsa2A8nM/bGLfzEZG6jiZomXERkejjp48XYREsjEQkRcKDi0COjzySJ4RAaaQEiJTVGWEpjIThTkzMDBGSgb/Went723sPjyLFI3JncV+lzhSefjpuCDHGnixEJIvEtPHe0/buRBz5IEspEQ57++xZD9owx1ReCkzdUsBsagDjOq/YARUAeKFdZ9EDAIToV99n+D1v3kQjmTnMsgd+KbTz0PKLGkvsP0iUbRmaO1wxggQSM80FgPZNVZll65upZjWd1XfikHmlL1tXEZF46VjXHfoKN7sa3UO4+zzPFDBPE9GuR1zTIKfh8eZ2WT+Y+zdffHF3c/P99z8A2v3r1/f3d29f3X/x+eeAfnp+/uHHHwPweHN3Op8fH5+X03Np5bSttZRa66eH58t6/uKz+5ubA+MMEB8+fXh4+NBqqUUKojBLEQhkkQBU0xRtQUQhAcB90YMQKVoTLsnZIJadKSAQsK4bXCG+UotbBpKotfZtz/1ZHnU1iyhESJAzo6yQspx0tZvjcevd3QnBr7DKGAnQWR4FItq2TSMUAtzHsForIOoYaiZSSi3X1poRMxlGBDADIrIIIe6mrQD5COPqCZwHBa/SwXu3757lS5qG2+8ABUfh9FdL/t7QwUQBkaVh0vyCML+euTUiHQMieu8i7E55cMfozJLNY742ZubgGVyZOQnjd3d3IvLw8JDl3bauh/lQa13XJUVYjscjAAwzN5umiUjO5/P773+IsJvb+TBPx+Px8y/eAMLz0+Xx6aOZUmmnZf344dPp+ezaX1V+enpklnVZzk9Ph5v685+9/uZnX9zON6VVRJTMAzowYpqmaZpEuEjJ15iJSim7/I9wjjiZ2d3o2owikEc6C7oAQGuVkZNkNNV2WVbcJ+eZCyLPUHZUQlJrKYIgkG9ntrVjKANHUC1z7z0gmOL3Rw15zrKiPBwO21AKM1VmNjcdPSLSZK+PkeX2btyUSYowbeFpB4hR09We98sChETr87/D/W4QBGx9y7Yu3IU40mSICYEcIB92Eu6Q0tR3D2ZIpKpBhISJealZdvluNhSKYNpbm3oEiAgxjzHSGzQ8AFGIe+8AUUojonyd3MzD375+8/r1a4xQHa3dZcwjot63j58ezEPVnp6ebo83bvrZm9etlQgPt/cfP55P67Zd1FWqXX76+PHjJze4OTbzeHo6v3v32fn0/OUXb//Jf/6n795Mc6FJZhImYR3axzjOzWwcjrXWUkqy04iIzE0KsBAgZJHCAhEaCOq9SAEIQqBAJGYPAYDKjYnWZQWCdd2YBQMIBQLNh4cigWoHxCJMTK1JrTXTFV2b5MxlDm5uQBHhL2JYe6wTyamZmUJQCeBgJ3Ezc2cMQGBi2LPnjv4VEQocqvTiuJOBjYlR3H1oz6VdIpJ0QSaKCCREDCLKIWjSAYjZAQyDmXQ3NcecS+DVa9zc0sJF3QCBWIJIVQEowt1BGRmQakUkjQhzQGzzISK2MdhzduGUQA4VVTX1UmvehGVZiOj169fgfns8IuwaK2Y7DWtn+olIUKt+dz/PUn/+D/9e7+PjwxMCWETX9eOn95RwZcTl9DzV+ur+TW20bEutc5V2/7Py9Zdv0LfL2a2WRbRyYWJTXbdNdSYCN5vnaTc2IETEQCDupdXE38cYrTUmzMq4tlprZdgnnr132U89IgDmIHCo7nUJIl75idvW00lqPhxyxTpxvxyXZspDxNrqSyOdb/ZLQZrfZts2d6+lRYSpvsA/L+gfEkkRNQOPUgqLhFo2UJQObx5D1SGyVUshwf3HzRM5jZSWQjA3u06ydkSYeQczEe2KT9ZSdpJDgEUgRFjsrj8QGT7zk/driSDYB3CUiTI/P4woZ/iJFmKm7NznSipqzohUdZ6mp+fnMQYTzfPkbn101TRk96m1CIpQBPiv/tmfMZd//W///ftPD2+Qv/1u+/TxI0mBILPx8Olp3fo8Hz59+nh3dxjWX90fX71qX7w7vrm9mdp0PB7aVIUxNUmI57u4DQhiQgRzIyfrlq+Tu2dwKaVAMiD6dn4+5ZBgOZ+RyM1rKcQc7hIRl3WtpZRSL+sCZqWU5LwdDgdAFMnGytx9nubRu+bpMbvijZKH7HQ69d7TvCOLngRD40rwcPfWWrbZ+2DxitZk1QIAAOGpA7TToAwhEUU1szyN27aZe+BOesxqTEQI8ZqbLYIsNNvvF7ZaYjy/V9rvaFCeXQBwCBJ2UzMvpTgEiyQ+QEzIZGrhv5t+7Gdox99zYHIFnSPMLJH6JKEy87auie4g4bKuyTJzs21085HdawI/SDRUAfz+/p7Afnz/8Tc//vTjh4+PT8/v3t6b2TwLIapFH5ZCRD/+9IONV8fDca7Tm7v722naZ6Fh2jcQJuIAh0wXXKRyKSXjHwsTEDFnEGIWYcnBESDGl0aIbn4dWhdVnVqb5lki4rIsarXW2qZGgBnzIyItgJK0uqO9ABQwxpBGW98yLORf5YHYto1wf7977zkuzTYtc3/e99412zFMCuIVEb5ODByRI+L5+bmUMknh6xkFgCTeAyLQHh3zEaqqjpGEgjxY4Z6pLZ9lAjkvFXeeyLyD+6wGIL8kuRPhcAsIcJranCM/cOdaTON61vdA+7tBhxAzp7CaiFhohCJi33rv/Xg8Zj9Ya31+flL30UfSiLuNDF35drHw8/MTc/MYT0/PT8/r9++f/vbvvu/bJrcHNTfzx6fTGMbIlcUtTuend+9e3x0OdzeHN5+/Pcz1OLVWuBSapsZMqaqWmGptVVhKy8KZmIgJwSMC7EqGwEAzRcL0RoUId++9R4RrjG0EACFKQGy99z7aZPMctdRsL6/YK+ydSMQLxzvDAwC4RxHK1yj/wRjj4fFh72aHIRNAZHmeM50smCJSTn/v/IlITTNUmLth2LblsUDEYTpUX6pj81CzACAgs90SKr9tuBGymmZh4eEvsSF/k0XY72fYJPxHRLZLiDiGEoSQhFoSx/ZZZilmiS3tbMkEFDJbXY8mRIB5snlCzTA7OFVzu1wupdZa6sPj47quUgQJKahr1z5EKNxKkXXp6+V8f3uHxFsfHz98+O77j3/xl39LVD5/e8cw1uXigff3rx4fn3pfD3d3x+N89+p4c3P86os3P//6bZ1qq7Ug11IhpzYJ43ks67YuI+JkpkGQ1pke4aoJpnlEvvZpCw+AlHpSvI9IS6lVKgKaOQAIIQXSsnaSUtQhehZ6eSDyZ9IHOgAmqa1WZOpjkLBcm7XMC8u6vsjPqBqCVGZm8tjUFPZJuDMLM1kuYhIltZmSih8BuHfmRCSlUE4w1Mx0XdehA5kDIOunrKl73zITMZOZuoKIAEYWcDsjx/1lIotX5SgRyaeramoBEK01ROqmEAgBblGEgNkD12303ltthEnL+R3ylHeAiIhlG7oXc4i5C9NHj3BiBmJz2JKiz/tiV+7yah+2xde/+ubzz99++unTq1dv5sP8fHpeRyfiVYGYJo6I4YStVlMTRiF6/ebV21d3ano+nU9m3/bx7a+/ixge5goRhhBJUjNVlgIRjVmIhKkUJsJSKguHuwgyCxHlek2rVbhkwCpVUMjDIaCrhzgSWS5MAuI0T9q76YBo4MBp8zxGhveXHGFm5rasKwsDooa3WjNnZwSCiOzVI8I9cm2tCNcm27o5/Y57mjX8yzLKy95/JLuaycyE9hmCIEFA78PM4JoK98SU5IzsWUT8Wku9zESJqPeeMSbDRgaMDGallCxnmBlpH85HxI6kifiwbdsk9n08udbLeSKvZdl+f15qrMynrTUPx2wJkW5uZkL++OkTE7n7uL4Wx8Phm2++/vG374+HeZ5nN/sv/6t/VqT1oU/PT11HH+Nf/qt/TahffvnGTCNAFZsIAb97++4wVdXOiG/uXyWrF4mIhYWYstJFRAQPKYIMbkbhgijEyVlOfMaRCASCwsADIAx8LL4l9cEdsv7rvY8x1p4bNsZJp4Kw25tDuPf1MoBinjPUjzEAHGmHd/e3GWmsIxADQcfIbCUi7rYDKnsZKMi0bRthqSi1lqfn53xU+7iCKJuRUkoA2u+gdipSevQwJ2YGDIsE/dbR9xYd9+4G3AOxtdZaBSQMyCuK6zjiimBhljsR3vvIWu1wOOwcVhEPSLLKntfymphJSkRY+EvRExAIuK7rS5ksIkWEmDNqllLMNHcE1C1zayqhLufLzWGCAB0DSQLFzUXopx9/gIBlWX76af3VP/1P3759N7oVGW1q6vY//It/8fbN6y+//PLx4fH7H37AAAosIoXxdPr0m98+lLnUUpuUw3y4m443tUoJgECEIsQMRUptNSKQo+SeoGkR2ceIADnEJcYXxJiIIyiXQXBHFSGzdh/9suYOJNzc3ggA9HUhwFoqAQwd57MzS4AXKdnpZXXCwmOMwzwDgvneL2TFXUrJPugFigXi2DEbwgBXe6FDJDj58lARkbmIZKMXyfFDxAgQFiQG80vfmEVyeoBobjtF2r3WuhNuAFh4b5Cuzd3LgWPmjC7ZtQHAS8VKRKbJQUJEzLUQEREiJi61Jg6ZxVN45LHAK4N7B8evFTpfC8S90LtC4efz6f54PM6t997aKwBwV2a6XJanp6ebm/l4PPzBL785Hm7/f//ff/P5F58x4/H2hoi+/vrry/P20w8PT0+Px/mu1WY+zEYfZ+Lx9u2RmKbaQq2h3sx0cygsPrSHKbhZQLhisozW6IShepwmBozU8gUkwlLIPcDDzd0MWaUICy3LNs3z7d1NKZLUQTMbatM0z4cDIggR3d4cTk/PT0/neZqJRMPdB0aIEFNBACCEIkjlcl4sAgghsNaKSOuyEjEhp82CcFnXVW2EepuLtKLa+zKONzc3N3cRcblc3CMn0jkytGx2AIRp055Eqj5GEYG92zcRLq2Q0On5GYBqK1ObzGz4dVnIgXAnc7zAThnw4Eo3e5lsEFGe5ojYGW3ugVeDRMREhLIvO5/Peyey0zmgMCNi2jQVKe7Q+6i1IOZi5GDhAkXVSPh2uk2cN9yIsNWJELgwIwPUnAUfjzOz3L+6X9fxV3/9t9umrz/7/HRZzpsy82UZ3/3wXsdAgDDflst8KIx4d3NzmN/Oc43QuU5zqVOpzEgCXAgAa2sBHBHLsqoOIiJuRDgu57vDQQTdDZiYEJmFRLjiFSEDNC7g5qUdiwghgXNAqA4EZBDr2mElYhGmf/T3f9n7tq796eH58fl86e7mAKhdObBNzSOIxdyQaRu91ipFiLLxLACQshuEFBCl1OwDKaKyYKEllKtkhZHwmtlQHcfj8dpUO+6ItppR7CxmVVUR9rBcmQg3b5MHFCkAIMy5evfS/2dG/105xZxPPbPP7mB9TTQAkJCMuSPaC9/5BQf3a3wHAGLK2Bkv3gC5PFlSHSCYq5kigZqLcG2NxR4eH+jm5tXxgBhTrYWyDBjhPlxbnZAozNe+3d2/cuO/+/WvtzH+8Z/949/8+NPo+vHjB2b86cN7G8vU6pfv3lbhVqRUdtPDPB2mJsLIwMyHaYYIU0WgMN766DpGvzydTufLuZUmwlLrzWE+HOZAL6UiFGQGRBYupZQiLHydG7q7Yd2jLDin0EYOPMz3Vy3PHf3RLz7DAB22btvptCybPz9fPj2dLssYqsMdkdZuAeAOpiMTv5kRGrN47FywuGr/XF0UN0AQoVorImzblj1aKWVdI/W2xzARpiuik1wiTzZPKQAgRQBy1jYgYpom27dU/CXGvMAwGT/if/XrBWR6ATOz4M27UEQG72g4EoqIX0uoPFXTNAFElgIkYkMTPnX3aZ4p7Yu2FZGSzyRStm2L8Nub29bqtq73d7eM5O5j6LZtIoWIzDsGIhJjDcPT6aSqrdZvv/327Zt3p9PT+fQYYQX9j/7gZ/c382FqQlSKIAMLTbUWJmEWKsAEBGqO2JpMxLxs/bKsql6lHt8eRIqaMuPdzU0Ren56YGZGF8Q2TcScX4mJmSQi+eNBV3ILVQJCZozYwUa3RGFCIkBIiohLTG2+v70L9HXY4+P56fn8dFo/Pp6fnk9hruaj99zdScS5yJ4dNPRlGSqfTcYPRFzXUWuJgFJqvriIWEolEjMVIQTsvSec9dIAJzmVCEfvaiM5rPM8IRLGvs0D+6hhp2MHwO8nrN/LR/8RYxqvg/q9f9zpi9d5fuzCJTl4uW6JJKkeEwnLcjt/HCJSaiMFU1ObPOGJ29vbwzyt6wJuNUVVVN1tmqa8tAhnksNxqq8bAq69v379+vl0en5+fvj02Hs/NHn39tWbV3c3FWthEapFiggJsTATpMcgGBQpKMTuEVZbsKABONL9q1fHw2HdVgAQKabh6qfTM0sppVUptVYWyZqPAEz3bRlTfeHjEhFiMF0XWsACEDwCIwJEzf78r/6uMCMyBHq4mm7rejlfMKC02tAPhdAMzLHIMMB96yAfnNZS8CpzhNf90YAg5t57mwoArOu6q1xRPmNg5G3YS3PnY1zBAje1tAvJQT0R3NzeMlGED92zzHXkTp6jEt4nf2mO8RKN8klnzfsyJeDrPH/XftORvX1c+/OXwJYI9bZtebzmeVZVxv0yw6P3rRZsU0vaa0IGRESEp9PZTYXo9ubG3YUoU6eOYRGqHh7uijh6X5ZlGxpqdlnXXc1oarfz3diWDz9dtuMx80URbq3WWoiIEQgCAAPh5ngU5iKFEcLAfBvmag4O6/ljjgv7eEJAFt761lq7rBtWNDMpBZm3bSv5SkA6RG/udsEzAgJhYSEkD4swgCDEnDAykYTH999/cDXzUPNwL4UPU52ncjxM81RQbqb5GM4fPzz++PD08HTa1i3nG33sQD4zAwQQm4epIlITQQQ1K1LaVNVSEcYRXDiHVuZhY0s/jQgPhAjP2xoAvm+B5aF0sPB9ndVjmDJzYdFwgF16LbEocxfcbbBe4tk0z2Ee7lI4G/QIRKCIqKUh0LrtVwS7iKmPYa3VPC4kXEpZt3VbL4hkxEMHEQMBlzIfpwAY2i/LJcfjItT7WkoZg2RqwywwzBQ83OOybN3czdVMmBBctfdha/en58cAPxwO93dHBnh6evzpp7UWPh6Py2XB3L2C3eyNEImAiR1yssyIVESuaAgDIBMyUykihd391e3NGGPblozPJTfHEUe3lPDNE4aIow+IYEIRzk8rzPuAklEwIswjAEKY6X/zy89aq206dNWxaeNKjNtYt76e1m25aDxeRtfL+fJwWi5L710jsJZGQgEx3DYb4VHMc9m9lYrECG5mtkXfOVkAHhw7jzRFNjxb4sg1PsosQJhlE7o7E79klojUyAKmnUL/EgvpCg7VWrN+epl5EVG4mxm9kF89Gy4efdOxHuZZSuEX3VoRMx2j56rGtq21CCK0WrdtGzpKoSKS6M4Y/ePDVqSoqYdrV3cvhWuVMQZGQDgQFCczAzVzX/oY6stlVR1Tq0UI3BCwSrx7fStC09QYvFXJB1lqqYWnrz5j4tycRxTclSGCEN0GsViAeQR478voA9zBcXTsEefoZsPdHh+ekajWlnaIAHukNzXAnpMfN1NTCNr1W8PcDQEwwMJNzcw0wq5DayHidnu3LMsP3//48PT08OlpPW2XrZ+3vqmpR5JkmXY2IBIBsI7hy8rMTFhrLbUGRdcBV1b2NjohAKLqcAN1z/WqkvviCDp6QIojVTMX2qmrv1ff4MuZGKMzF/g9WmMOs5LMlYz6LLrhpZOH2Et7j4BwMwOkiDBls2SgZt22jf7C8+rXzfYXdbD8QDNnouRivxRAy7IgYq31+fk5w3CEA8C2bbkGlJVc37Z1UTMbOq56kn68mRrfCIEwlyKH1pgDEYiptdIKFSEiREARBvRpmmqtOUivtcVOYaAwRQgL8MDzspwvp1evboUENMBBHQNpjL5tq9nooEN1OY+n5/Pjw3ldRmmlVprneZ5aYYJ0wEAwR8yNHQTA2FH9/YGgRuSaZTjINsb/7f/5r3JXY+1DVd0sgLDWQGEEih4KhhgQMUYOy1PxKZLnDFBrmdt0OMzM7DbCggAYHBEdUd12oMZjiLRSSxXmYuaOgIyCkhHlhamDV3GPazck7i7CETsxg4iIyQHC1N0tKRCI7qZq+XtzQ0Qk3NYNrnyj5IBvvQuXl5XCy+gRUWtZlnXbthcTwhzgXJZFUlAbQJjVrkfzus+qquu6ppxFtg4Jb4btEHbiRntCL3x7e5xqERQIQ8RWy82hTa0QEQu1VooQYhBSbXWepiKcOzqw71Lug+FUlCMkVUPiX3/3m//7//g/vX737n//v/vffvPlFz62VDcMCKQgIgfNdeTR9eHhua/j5u6mFK61tlYyeSEiMZkFEF+5EXvbnuwrAODQFMdxd/xv/5v/w598/hYQAVAt1q2PPnof67bpGA5h4Gmm3IcNtdzVVXUzG2h99DFUTSGCIFL8gQGZqBLVVonZ3PftDXN3b7XOUyPeZ+mISL63XXgVymMpTITXjbDfPxwRSaQPEdYIYBq9Z7ULkcZciQgUgL0w6r3ry3p1NvyAU5tfoEU1hZ00nfYdOz8u3EeWuwEpWkhIBAyZCa9QQgL1RCm/jfM8E2Gbpqk2HeqhADHP81waYQgB7kwETEFSgsjNvHlq5urhBEjE5i4iU0vuBUOgm7FQraVNjYmlyFQbBOYIetu2/9f/+K/+P//yL968Ovz3/8f/9u/96htwpWRxYgAAhWUTE7CvM9TWEIhIkMkpv4YgUrglZBDgZsMBUi1+Tw1A+0lKcv3Pv/miiKR9jqoR4LZtl8vl+enp09N5M5hae/vmbWvtsvXLZdsnauu26eiqZq4j2XTDVPsYw3Rb11N4nKG1KlKEhSP7oHg6nbc+amtIWGslJAvHMDcLyBaGWSErYhujpFGDMCEhwbZt+54hMFJxtQQKU0/4ymYGjABAJjFVRg5E31dRESgQKMdefQyIIEYzBUCEyP35nPYDQG71mruqEuRbqARIhG4OCMQszMldvKwbEloPBHy4nCqJMN/c3MyHg9TirgiogcIMhMjUzQjQ1azrNLex9TGGuzFxWIxh26aI6D5yETH3SQBjnuci5Xpuwd2BKNwfny6ff/4lk/9f/q//jz/+o1+9OR4qUYQRgYhgAAHQHuyxuyGhmRHTui51qmmb12ptbWq1tlaRsu3FXIcSkeSoh1m+cgKIUmprDSBGH0zW6tTaOB5vD4djnc7fv//EiMebdji0o03LcWzbml3r0sd5WcABkcxi9LFs22VZzK2rWkTvY9u2ZVlTFy0RT2Beeh9mpVTVHI0gIZoND0MERrkWQ+Rmqmbu2DG7ejMzcwR0B7ORo5zMdDtGYMrMaiP91AIQiSnAdIAD7WR5dAgdPdXyRneEICbIruTKexcWYk7uW1brEZFMhL1X9HDVHpGfyVQ8YLmM8PDwDS4I8fDwcaejoWQIJGZEIArK6k3k87fv6sWenp9yglaEmCjRV1VVtAAsTOBASAh0XYijZK343GNhcQAAC31JREFUVRBnGboMu7u9eXo8PZ3+6psv3p2fH0VYhKQIuBMCIzNiKaXse8lQqkR4KfTw8ZGISqm1cZtKqyV9sACAAEWkTVMGsFxxZmaBiGVZU7x+jEHIQ3EfB0KZDjfCzwGGSMuyEDFh1IJMjGCBzDypmhsCgNfaWp1a6WYRMEa4++V8GaOrWzBAgLlBiksir8uWM0dmAsArCuiFU2MKsk3w/c2mXLjJtZxwCzCwKEXCs2Civc33nRYdjKGx66Y52NAX/DAIdC9prwJqAQ5xzWMQ7kg0zMz3JQ2zhA3dQnNvlYmrlFbKS3kJAEiA1BCQaNdTzmE9iWTlBojhQQyEJsTCdJhmqdXMP/v8Ne5UYMYAYhShaa61SEQwIgEhBCFFuHlcQy+Y6xhmOhZVdd/W9XxbTO2Pf/U14lfrugiTFAZ0Jsjt8CZ1mlqttdbSWilFSmURTnoFs6T8PCJm65uIfPKGFdHDRYoICwAQcq6YZge09i32MtGZ4e27V9u2nE+XpHa9yGiaad9GKkdFyvCaM6EIBXgEMKKq802LqEMNWSBAdZh77woBqgZIYXZZNtzTTyChEZRSS0H38NE9nFmY0APyeQIEAOYujqkRAwYgQXjsPr3JRx4aCEmxpdTkdEveOJm7B1r+cSdYY+rwIRIiUiFOLpGysJsPVWERJiFutc7TVEotteRU8IpX9QjNJe5SWitNuACCqhKhIDBSKVJqLUVEsIhUFgREIWk1J4AeTih960MHArgbQUS4IFdhRqw1iGSfUkHkpjAg1lKAiQXBafSBDjfH+XB7qFWI07qamAkDEYAIDTE95FJqBzH2lSkAc3Dbl9EjUiUaEihCRCGJ8FRpFURsbUYIMyuIgFgxcN+qcUS8u7tV89HNPBACwYequ7t5nczMImDbupmn9goS1Rq5ealD93rNyR2R0C2QwIMsom+bmX/48IFbvbm5BQhzdXfb9LIsyxX/RcKIja6E2gCMl2IZARnJKJdtIVCvEghuFqFw5ernfBRC3XeTkeRNZdZLCCrnEsKcq9cJTxPh0E5EWYZV5sP1HSVkH2PVyAEfAfowBJznQ22Viae51FoRgohLkak1yM0kj1LLsq1dNRCECNUjNidKeHea8WaeIuYUVtNQZEocsdXaSsmqi4gAfOi6L6KUIoWlCAMi3IQjghuABoAaoqGzW4Q7BJgqUJIVAcARGYDzf49d0seECrGEY67rZvhERAiQF8/UMfSv//p/ZsQEqXIFGRBzyw6yKNhph54JCAB2QMl3UQvV7Mxy5SXTXy5a7eTRcAAHh1B3NQ21MK+1vnnzNkb/6enBdJhHYABgCMpU3XyM7u5sEBE6RtYrOSrb5aIQQSE33xGRgJMB5alNBoG5EggBAQkaZUFDAIxExIQiwqqWFY8UEZG5lnmqU6vHwzTP0zS1WoowQrgQF26IaBY67LxenHxqbapNmMfohFBry4HJYSrhysKlFiZwUyTIbRREuD3sZARCyg0kj0hxEgjznbqPTDFJQabE3JkxzNUhwIQEyJmrSEux1PBAqyiSTS+IAFeN66lFKcwKChE8IaYyOAAhErEbBYBFBEARArChOrolLco9zCDVZgnQrJuZCAsR3t7NOe1jlogYa4YT+72tLlc3Iocwd4eAQogRBJ58YnZLytAYykIQYOEkjZjGGBGgrhFBABBm2iMswBDheORpemvWmQUI1Wzr2+adYkSYcDhEWCq9cASZe0AkgASpUJyVBwJcNWJLqabDwxEjNABxn9jHjtrVwgJYS5VSdYx3n72bp7m1hgDq+/IGM0MYYzZldj5vbgNyFpsgJ3FEljgMFIFug4Q9i04CYhTdVhHSTcHYmQihlFIkhRSYSDjZ6pClYeSqnZmhO0JIKRAQ7tu2IUEpkmNwCxt9i/BNdYxBktQajF3Rc9eVAggFsABmFikRvq0DiYR3aV5m/h1ii4jpUSHCLK1KLpECABFICULiwgwBiIKU25gJjPEXX7wLs7VvzMRId4fD0HG5nM24SClFeh8AIVJe5CazJeHUHfOdjRoI27Yl472PobDPECJiWzdwuKzLeVlCI7CaQRi+/+EjIj4+P7CQ1BIIpZYD3wlydsi7Tt5Q1WFmATDUVXW4OUToHheRmYQnptvj8fburo/eam2tqNnj42lbN5HCpWA4ob97fS/MOvR8vjw/d+8rVulLX9e19+ERFohEEIbgwoyIpUirZSqlFq6VmbnWKsJmTgiCxERVqpTYcZo2IWKRbBADc8s7sNUaKSVIrCMlSpmJ120J9xxmIXHvm3tw6hyIUO4dYA56gRBzZyItLFzdw001XXLSDSNzPNdmESO3FdWWbYgUJlIzNw/DbGsICTAiNE+TCPMu+OcAiES1MBOSMGSriQS7iAUJAE7TgRBmPwJkq8LLw/J8Pm/blk5SpgqA7q599G2wyDRNwpzO3GOMFBHL5503zQEQMDNdMt23bVO1NjViulxGAJj508PjGKNV5sqn84mL3N5M9206THObGhGNPghAzcbQVisCogMJr1v6CwYyb6afnh4t/H6SN6/ub25ulvTLnatZ+NtXOjzR466WjdVlHefn09BhgU+n8+l88aTWJyeEku0UO8sAyS3GNjKCI0xRAlHH6AhQanVC8Fj7FpsBQKkyT0ZEEc5MgJ7bVxBEqElzk2SjA8BlCY/Rx7ZtEFgKI6CajdHdbV03YhaSoeoe67qkk99QTYqBm4WHpbsSoXsgMYswEwKyJEMm3BUAIcBLvdb8hAWFBaKkoJ/6QEAmkiLJOMjpjZkxEgZYdywImQRUI0KkiKn+9rc/FKL5MLfazAMF3777fD7eRkQRuUp09a2vy2lJM5EAJKR1veSyhLmfLou6qtpQjQBEQpbRR20t19lu7toRct/Ic0FfzVydhedpjnAuNLVZCk+NaikAqDpcbZKGSL335XJZl3VuB5GiQ81GNydpGv6v/+Lxi6+/+od//AsRWpbl6ekpPForCAxYnp8X4vLh4cPTw+P7jw/DgCVFPnbdG05KJbKIlFqz5nVXdHU3t3AzCOi9u8e6jJwnlsKlliK5kg9MVEtlljht5k+phRVgCAGQmuoU7h6W9mEkOS1Ecx/bsGGEdOWQABIkWRsQhEvmHTNHwjpPtTYpU+bZQtimqRRx8z4U6HekbAxLMjsjqamrMbGI5KDQICKltiiYSQyRMMLBO4iwVIDACGYoTIyirpkjCYGFI4IY8b//7/67f/T1z4QpPJi5TRPSPpPqY2C4ECHhNFURBjdGZBHhwiyONkY/n5fki6nbtnX1UAszV7XL5QIImhlojF3xrpZW5e721jRbQfn0cH58/Hhz05hQpALC0AgD4pgav319l6xhVR1qvdt2UTQrhTz1L4jOl7W06qgeFg4OcX93p71/+Pj47bc/BBSSYh6AGABFCpLPc8vpGxMhp/gGILBIIYFa293x2AoR2vmybZfz89PT+w+funrECA8hYSIzQ6Ii7GFDR04pEmpDJAQmQiGqwjuYizBNrdQUn6OdP0vESJWEmUsRczMbpSTyysQ8Ty2NEImRmQ/zlIgwIkVY+BCRbdseHx9719vb+9aaqZnbNE1IPEZX1alNLKJDE3hLhAsBeJd3Sn4ImXvfNgegUmAX8iLIASUASwHYiTdEVGrFn376SWgHwSAVKvZhOKSeTm714v62QOIE2fded8ADrtIWkUhtdm8vK3yQiuS/46Ji8rgJc9DtexWVtFQiwl21ORXC972S65cEMPPwuEqTAwDml8y19YSJcrimpuE7vEG4a08nwrd3+LkjCy/F+H4VyWHNxx5XJE1V86bvm86w/x1e5VevH/NSmgJeb1yO+bLnIrpqjOwayb/7w+9u44vOFf7elf+uY4DfU0TKP3rWSXkW8ovkM9r/l//oX7/8VPyvPn6/LPyPn2C2sVe09HqFgP8LiONvaZZ3CpkAAAAASUVORK5CYII=\n",
44
+ "text/plain": [
45
+ "PILImage mode=RGB size=192x192"
46
+ ]
47
+ },
48
+ "execution_count": 3,
49
+ "metadata": {},
50
+ "output_type": "execute_result"
51
+ }
52
+ ],
53
+ "source": [
54
+ "im = PILImage.create('cheese saint-nectaire.jpg')\n",
55
+ "im.thumbnail((192,192))\n",
56
+ "im"
57
+ ]
58
+ },
59
+ {
60
+ "cell_type": "code",
61
+ "execution_count": 4,
62
+ "id": "0767ffb8-5492-4c78-a049-85c7e37d7013",
63
+ "metadata": {},
64
+ "outputs": [],
65
+ "source": [
66
+ "#|export\n",
67
+ "learn = load_learner('model.pkl')"
68
+ ]
69
+ },
70
+ {
71
+ "cell_type": "code",
72
+ "execution_count": 5,
73
+ "id": "8f984a2d-ef60-4814-af39-8db382ea1112",
74
+ "metadata": {},
75
+ "outputs": [
76
+ {
77
+ "data": {
78
+ "text/html": [],
79
+ "text/plain": [
80
+ "<IPython.core.display.HTML object>"
81
+ ]
82
+ },
83
+ "metadata": {},
84
+ "output_type": "display_data"
85
+ },
86
+ {
87
+ "data": {
88
+ "text/plain": [
89
+ "('saint-nectaire',\n",
90
+ " TensorBase(8),\n",
91
+ " TensorBase([6.8587e-04, 1.6405e-02, 9.1968e-03, 4.0232e-03, 3.7507e-03,\n",
92
+ " 1.7188e-05, 1.4616e-03, 1.5487e-03, 9.6252e-01, 3.9549e-04]))"
93
+ ]
94
+ },
95
+ "execution_count": 5,
96
+ "metadata": {},
97
+ "output_type": "execute_result"
98
+ }
99
+ ],
100
+ "source": [
101
+ "learn.predict(im)"
102
+ ]
103
+ },
104
+ {
105
+ "cell_type": "code",
106
+ "execution_count": 9,
107
+ "id": "c9641d55-35d3-45be-a38e-b2a1cfefe4cd",
108
+ "metadata": {},
109
+ "outputs": [],
110
+ "source": [
111
+ "#|export\n",
112
+ "categories = learn.dls.vocab\n",
113
+ "\n",
114
+ "def classify_image(img):\n",
115
+ " pred,idx,probs = learn.predict(img)\n",
116
+ " return dict(zip(categories, map(float,probs)))"
117
+ ]
118
+ },
119
+ {
120
+ "cell_type": "code",
121
+ "execution_count": 10,
122
+ "id": "b51fb45f-447d-41ef-bbe8-06af0b51c0e9",
123
+ "metadata": {},
124
+ "outputs": [
125
+ {
126
+ "data": {
127
+ "text/html": [],
128
+ "text/plain": [
129
+ "<IPython.core.display.HTML object>"
130
+ ]
131
+ },
132
+ "metadata": {},
133
+ "output_type": "display_data"
134
+ },
135
+ {
136
+ "data": {
137
+ "text/plain": [
138
+ "{'brie': 0.0006858668057247996,\n",
139
+ " 'brocciu': 0.01640496402978897,\n",
140
+ " 'camembert': 0.00919677596539259,\n",
141
+ " 'comté': 0.004023181740194559,\n",
142
+ " \"mont d'or\": 0.0037506883963942528,\n",
143
+ " 'raclette': 1.718786734272726e-05,\n",
144
+ " 'reblochon': 0.001461558393202722,\n",
145
+ " 'roquefort': 0.0015487062046304345,\n",
146
+ " 'saint-nectaire': 0.9625155329704285,\n",
147
+ " 'époisse': 0.00039548747008666396}"
148
+ ]
149
+ },
150
+ "execution_count": 10,
151
+ "metadata": {},
152
+ "output_type": "execute_result"
153
+ }
154
+ ],
155
+ "source": [
156
+ "classify_image(im)"
157
+ ]
158
+ },
159
+ {
160
+ "cell_type": "code",
161
+ "execution_count": 11,
162
+ "id": "8f085556-cafc-4f00-8e63-d9028ab6bb41",
163
+ "metadata": {},
164
+ "outputs": [
165
+ {
166
+ "name": "stderr",
167
+ "output_type": "stream",
168
+ "text": [
169
+ "/home/explore/miniconda3/envs/fastai/lib/python3.8/site-packages/gradio/inputs.py:256: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
170
+ " warnings.warn(\n",
171
+ "/home/explore/miniconda3/envs/fastai/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
172
+ " warnings.warn(value)\n",
173
+ "/home/explore/miniconda3/envs/fastai/lib/python3.8/site-packages/gradio/outputs.py:196: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
174
+ " warnings.warn(\n",
175
+ "/home/explore/miniconda3/envs/fastai/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
176
+ " warnings.warn(value)\n"
177
+ ]
178
+ },
179
+ {
180
+ "name": "stdout",
181
+ "output_type": "stream",
182
+ "text": [
183
+ "Running on local URL: http://127.0.0.1:7860\n",
184
+ "\n",
185
+ "To create a public link, set `share=True` in `launch()`.\n"
186
+ ]
187
+ },
188
+ {
189
+ "data": {
190
+ "text/plain": [
191
+ "(<gradio.routes.App at 0x7f37f1a842e0>, 'http://127.0.0.1:7860/', None)"
192
+ ]
193
+ },
194
+ "execution_count": 11,
195
+ "metadata": {},
196
+ "output_type": "execute_result"
197
+ },
198
+ {
199
+ "data": {
200
+ "text/html": [],
201
+ "text/plain": [
202
+ "<IPython.core.display.HTML object>"
203
+ ]
204
+ },
205
+ "metadata": {},
206
+ "output_type": "display_data"
207
+ },
208
+ {
209
+ "data": {
210
+ "text/html": [],
211
+ "text/plain": [
212
+ "<IPython.core.display.HTML object>"
213
+ ]
214
+ },
215
+ "metadata": {},
216
+ "output_type": "display_data"
217
+ },
218
+ {
219
+ "data": {
220
+ "text/html": [],
221
+ "text/plain": [
222
+ "<IPython.core.display.HTML object>"
223
+ ]
224
+ },
225
+ "metadata": {},
226
+ "output_type": "display_data"
227
+ }
228
+ ],
229
+ "source": [
230
+ "#|export\n",
231
+ "image = gr.inputs.Image(shape=(192, 192))\n",
232
+ "label = gr.outputs.Label()\n",
233
+ "examples = ['cheese époisse.jpg', 'cheese camembert.jpg', 'cheese saint-nectaire.jpg']\n",
234
+ "\n",
235
+ "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
236
+ "intf.launch(inline=False)"
237
+ ]
238
+ },
239
+ {
240
+ "cell_type": "markdown",
241
+ "id": "9ba2ef1c-586c-40ea-9330-f49edd58aefa",
242
+ "metadata": {},
243
+ "source": [
244
+ "## end -"
245
+ ]
246
+ },
247
+ {
248
+ "cell_type": "code",
249
+ "execution_count": 13,
250
+ "id": "0eb8bb14-208c-4fd5-bcd8-afef72993d7a",
251
+ "metadata": {},
252
+ "outputs": [],
253
+ "source": [
254
+ "import nbdev; nbdev.export.nb_export('app.ipynb', lib_path='.')"
255
+ ]
256
+ },
257
+ {
258
+ "cell_type": "code",
259
+ "execution_count": null,
260
+ "id": "bd182dad-2551-4c24-8eb5-ed016b3e5e25",
261
+ "metadata": {},
262
+ "outputs": [],
263
+ "source": []
264
+ }
265
+ ],
266
+ "metadata": {
267
+ "kernelspec": {
268
+ "display_name": "Python [conda env:fastai]",
269
+ "language": "python",
270
+ "name": "conda-env-fastai-py"
271
+ },
272
+ "language_info": {
273
+ "codemirror_mode": {
274
+ "name": "ipython",
275
+ "version": 3
276
+ },
277
+ "file_extension": ".py",
278
+ "mimetype": "text/x-python",
279
+ "name": "python",
280
+ "nbconvert_exporter": "python",
281
+ "pygments_lexer": "ipython3",
282
+ "version": "3.8.2"
283
+ }
284
+ },
285
+ "nbformat": 4,
286
+ "nbformat_minor": 5
287
+ }
app.py ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
2
+
3
+ # %% auto 0
4
+ __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
5
+
6
+ # %% app.ipynb 1
7
+ from fastai.vision.all import *
8
+ import gradio as gr
9
+
10
+ def is_cat(x): return x[0].isupper()
11
+
12
+ # %% app.ipynb 4
13
+ learn = load_learner('model.pkl')
14
+
15
+ # %% app.ipynb 6
16
+ categories = learn.dls.vocab
17
+
18
+ def classify_image(img):
19
+ pred,idx,probs = learn.predict(img)
20
+ return dict(zip(categories, map(float,probs)))
21
+
22
+ # %% app.ipynb 8
23
+ image = gr.inputs.Image(shape=(192, 192))
24
+ label = gr.outputs.Label()
25
+ examples = ['cheese époisse.jpg', 'cheese camembert.jpg', 'cheese saint-nectaire.jpg']
26
+
27
+ intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
28
+ intf.launch(inline=False)
cheese brocciu.jpg ADDED

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cheese camembert.jpg ADDED

Git LFS Details

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cheese comté.jpg ADDED

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cheese mont d'or.jpg ADDED

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cheese raclette.jpg ADDED

Git LFS Details

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cheese roquefort.jpg ADDED

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cheese saint-nectaire.jpg ADDED

Git LFS Details

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cheese époisse.jpg ADDED

Git LFS Details

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cheese.jpg ADDED

Git LFS Details

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model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:947fc09f6dea96d1228b17600570bd78d1934fdf2282e2bde7c2af99f720852f
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+ size 47025583
requirements.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ duckduckgo_search
2
+ html5lib
3
+ BeautifulSoup4
4
+ pillow #for webp support
train.ipynb ADDED
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