diff --git a/GTSRB/02-First-convolutions.ipynb b/GTSRB/02-First-convolutions.ipynb
index f75882c9b4df5eec5b7b02df5cce81c34655db57..3540bbe1daaf22d5bd4b4950d2f9a1f1a3acef83 100644
--- a/GTSRB/02-First-convolutions.ipynb
+++ b/GTSRB/02-First-convolutions.ipynb
@@ -16,6 +16,7 @@
     "  \n",
     "The German Traffic Sign Recognition Benchmark (GTSRB) is a dataset with more than 50,000 photos of road signs from about 40 classes.  \n",
     "The final aim is to recognise them !  \n",
+    "\n",
     "Description is available there : http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset\n",
     "\n",
     "\n",
@@ -33,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -112,11 +113,11 @@
      "output_type": "stream",
      "text": [
       "Version              : 0.6.1 DEV\n",
-      "Notebook id          : Fidle notebook\n",
-      "Run time             : Thursday 17 December 2020, 15:34:34\n",
-      "TensorFlow version   : 2.0.0\n",
+      "Notebook id          : GTS2\n",
+      "Run time             : Thursday 17 December 2020, 17:05:29\n",
+      "TensorFlow version   : 2.1.0\n",
       "Keras version        : 2.2.4-tf\n",
-      "Datasets dir         : /home/pjluc/datasets/fidle\n",
+      "Datasets dir         : /gpfswork/rech/mlh/uja62cb/datasets\n",
       "Running mode         : full\n",
       "Update keras cache   : False\n",
       "Save figs            : True\n",
@@ -139,7 +140,7 @@
     "sys.path.append('..')\n",
     "import fidle.pwk as pwk\n",
     "\n",
-    "datasets_dir = pwk.init()"
+    "datasets_dir = pwk.init('GTS2')"
    ]
   },
   {
@@ -153,7 +154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -162,8 +163,8 @@
      "text": [
       "Dataset \"set-24x24-L\" is loaded. (228.8 Mo)\n",
       "\n",
-      "CPU times: user 0 ns, sys: 75.6 ms, total: 75.6 ms\n",
-      "Wall time: 74.4 ms\n"
+      "CPU times: user 3.56 ms, sys: 82.5 ms, total: 86 ms\n",
+      "Wall time: 216 ms\n"
      ]
     }
    ],
@@ -201,7 +202,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -217,7 +218,7 @@
     {
      "data": {
       "text/html": [
-       "<div class=\"comment\">Saved: ./run/figs/Fidle notebook-01-dataset-medium</div>"
+       "<div class=\"comment\">Saved: ./run/figs/GTS2-01-dataset-medium</div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -228,7 +229,7 @@
     },
     {
      "data": {
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TwwmqyoX30d9GOZm5dnkIAHmI5IDjLCDq33nblNVhlmGd9Zsyw/MYbZczfDkQnDPiH0M+FLj6GHUAO2vsej+55ECOrmjO9X9kwOYdF7PKmhMfT4sEPbpAseya3DiLAGck93W0ckArspX8W/urrEy5sabtHunlaF6WOalloHgR0u/30+4Cmtb3IUKbQybz4uIiRYSJI6IQOtuFTKyzn5oqoCCQtkwZXLadgldndRWEkkTkQuYoRU5/Mw8eYN/5+oNZcm/w+j3f8z2FsKkuuuI+Xdyri2BSQRmABDyBW8DDfFhlaKfT2/03CfJ00OoKNTbU9fV1AqbKdnIfNobq2YmaW7K0tJTAOPM/mHd7dXWVUhVarVZaaEVQpVtzMa9XJ6kPCO88Z/R0W45FSM6ziQzKvDKv8lBFpexq7ho6EBGz4Eaan+u1Zb/VenqKQq48QGx0yozHIhWrG4PHeNY8ICIHOMrKEBlAXciiHv9DxpM/I3pmzjhGhtOjBF7fRUnUTg8FsT43orFfBkZyn5eNCwWuuTk769kq9wVjWsZZ91rk3Czb+ie3S4SXax6w6L/R3+Xmgd6DZdQxo3PRnxWBzQi4zqNHZvVR1A7+3EU6IQDSHvGnp6dp/1Nd7wDM72yo0P5dXl4WtvNcW1tLUVwl1ChR+3POEX+Qrc0tJHPGVnVwBEr5PcGyYppcH+r+rrl28d/PS6w9GLySRtfV9WQvyUqysASvehiAFlwHARnURqOR7ttoNAp5JgTOLIdS+ZeXl2g0GomKH41GaVsL5qTyOdHEZOcRjG9sbKRFOOfn56jVamlXAt1Si4u2fDA5SG40GgCQ2Fvd+sKVOTt/EULg7/IY4LXM0Dv4y92HEy/yFHlfD9tEeTV0SKLco8iAU3H7ticU3QA+msA5w5ib4I8hym65on8I6JpHCZcZqByA9XZ2hfWQ9ilzHCLQFwHTqPw5QPHU4uAjKksOQOaARNRvuXu6PmC7aR9GAEnBTw4E5XRNpDPuC66/DuKGP/ouN97mBdhljjb/9u/nAZllznmk03L3fIgNieYyn5H7TW5uPJa8e/eusGUmsQ9wNyqoZZ0FxKbT2xC5klYXFxeJVHPgqm3r+aE6L13XRfatbFxRIqdB/45SB/zdd4HyZ1C8rmVyb/D62WefpQZmLigroPudal6IsorLy8uJetYCE6jqfme87+rqanomQSiBK3cEINXOfFEHr6T7J5NJWiDGZ2ryNDuVjO/Gxka67vz8HNPptLBHK7fNYvoAr9V92fibdruN8/PztE0Wc3c1b4XeF7fLGI/HODg4uG83zZSySTULwJYpiZyynPf3eg37ni/N09F95egA+SSjAvbwSK4+0e8jYKOAVUMnUS6vG4JFCOvui98iAxiBEpcyY+CK09t0Vt5vpIQdTM4qw7ygMgJ9+hxlGyJGJ3rOU4ClXB+V1dcdgqjcDmBn3St3nYOTeRwdB7dl16rMY1znud/HcEBm6Um+l425qN28byJHIep7TyFREOPhaQUm7qhHC1+1TJFemKe/HLRG8zfn2Cy6f3nypWOJCChqOSPQRplOb9f/8G/FS864+pjw63zhlOtVAmXubMTPcm3rz9XyRHm4ukA9V2a/v48Rkk3zjJd7g9dnz54l9pOAEbjNXa3VammxC0Emvy9TpmxQ5qvqoit2LAcqGVaCVtLkBDHOvHI/NoJm5qGyc7nvqnuRzG9l+QheubMC0yOA24GkC8U0N5eA9+Li4s4er+x0AmsytByQX3zxxX27aaaw3B8iETjKGfsywxqJbtjMdmZqCccDHRhOIN2PzpWtlicyzF4en1Q5QMp7KyvsymzR4FWNWMRo89nzeL76m7JnqQHk/5x/DkL9vrMUUzSOcoZtXhAbKdOy8RuBiKcArpSco0XJ1dsNudbD+87vFwHcsjniv+dvtCzR37PadN5r79MfT9l3lHnBa9k1Xv8ciM2NXQWTClZ1BbkvPqXt86iXLxKK5inL4zp23vlTNp9z93wKx2QwGNxZvM0y6Dslp7uA4ljUg550ByXd+tN3H9BF7dS/qndV/0bRJfY9yxXZjGicKVjn2FCsw4X1Csqj+ns7RXpmnj590D6v3KjfjwHT/E8CNwWjbHgCRhWdXOpNKJV+fn6e0gR02wqu9Cfjyo7kwhtNcaAwH5Z/O/hQD5MsMAEfc2GZ1zud3u4ry4VnDl71/F5lV33Achsuhrq5dddjy+bmZqqrSjRoyiaiioM0V1izWB8fS8pAM82Ck50ODNvaz23OJZO7somUTy6lIQdO9bPo+0UCV6DIvHIe5QDzfUGYGsDc771fHezru16nz1CgPyuf2Ms2DwiP2sEX1MwaGwrQFg2GHAAogzNrLOl1Dx17DmQpZWOcn+ccv6jsDqqjZ0XX6v+z9MrHkjLWDcj3Y5necMci6mv9nQNVB620o3x3HarghC9dAa9OvIPmqNz+vwOo3Jjy9pl3LjyWKCmi+8kDuBO297L6fVh+jd4RU/Aoea6roe3TReWKVZxNd13qQDJyPHK2LOeEsA1om0nK6cFTms7n4zQSx17zyL3BKxE3AZg3GBuLA12PHtPwrR/fquFgGksyvNwUfjQaFSj7Wq244s47lIaJg8NZssnk9lQI/Z0OKAXhZP70c/0dB7UONB0o7HT3Zt1w6763iwKvL1++zAKv3HvOCEXXeAjdGYCIRVAHxpUnFaj2sZ5G4ltWaW6qljNiZH3i6HuZzDLK2iaLVLKqYDzxPlc+fjbLuOp9IgM0z3e5tnTDq21fxuzwt2oIonp4+fU+BK7z9JvXcVa7fYg4mPM6lgHTyEB4PeYxrvpsB4uzyu734d+zwFhZmfw7bZOo/78uIFbHjbd9bkxHuojfeX2jRTz6e16jYJXECIkfXTfiBADXauhxpXrSU44ljOxJWf+Ujddce5a19yKE0T+usucJo0xb0606KW5fKOw/XQ/DnZp4jHy73U7/K4D13ZjYv4pbFKASl6htdPyh4yxXVtf1PISJZKZv8cWDpfQgJ36Xaxft83nW+twbvLIQCkZ9omn42xfRELjqRNLCshE4qfQINj1+bHl5OS3q0pO0CDD5LN/rVRuKHaGbDetescqWNpvN9L/mdlARaD0U3EaJ+p43RHHgvEjw+o1vfCOVJwIZroAihVKmdHKGypl1fs7vtB94XyoLHfgEaRxn2nbO8usrYg28DlFel9ZhHgP8MaSMlVG5j5LnPMqxSGoky8o1zzOj63JKlRI5Qrnrc8pyljGNZJGGErhfjuo835c5An6djyP9vAzcetn1nlqGXLnnGac+RrQc91ns8RTi5SxzenJj38ei1tfrHM1B6lK1udGONvybulmBlR7KwzUaUUg7AkRlfV4218vAVG4Mz6tnHiJbW1uFdEiSaUtLS2mLzOn0dvGV2hJdqO5zY2VlJQHWbreLbrebTvskcNWF8CTparVawTFR4KhOBJ/LMvE7EmsReHWHSe02r+f3Dtj197Tn0ZiNtr7kK8JNkdwbvPKkKzXyPlA1V1WVHQELJwK3cWCn6iKc8/PzlBzNU6l4L4I6zbngixXXDtBBo+yfTmL3SDmw9G/mxSqAchCug8dDt2WJ79r5OvAWJVtbW3dYYVcYrnxySiUHcmcZGf2fTLsyAupMlG1a7LsS5EJcs5RqVGctv767OMCdx8gvSrRdIyUwiwGKhMrS209TFcoMazQW/P7R3CgLJz6EgdHf6rjNOSh+XdlzP7bMU64yADXPfd3hZPt4//Jd+9XHQg7E5D6LPtexVla3h9T7MSQ3ZsqAVk6Hehs7ERDNQQWvEYDl2hXaQD2MR8uiIWgCKAewtPseVcyxsfO0Xc6ByV2/qD5+/vx5Sq3gInBGApX91GgvcYqCPbYxgES8NJtNdLtdbG5uotfrodPpoNlspgXdToYpeHX8EdlzimKT6H5ldlvHmp6sVYYRKLpvbe4a/q+2epbcG7y6wooKoQqLA4qVjzbN9aNWCVgZziD1TFROllVzIcmIltHSXg71PNXI6zW1Wg3n5+eF3B/WUZVBFILUOio7zMlO70fL657TvPkf9xWy1g4QvN3KBmXuGlXYOqGpyJxBZf8Dt/vecaIzNKNAVo2iev3cE08VpqYcqAesTtMsQDoLfDqwjQDcIlmhMgWvCxPv83v/3o2tAhJ1QHxBSM5ZcYCTA6/6uRrLiDXP1Sdqd62T95vXc9b9H1MiI1LWf1qHyHjPO3bLrvU5rDrD9ZM7Rtp33q9e79z/kaOjf+sY/zoBWH3erGdHACJXHwWmCkZph5ysUYaOv1MdSH3pkUmdZxr65VijfeQ1qoupjyM2tozp07EcAamPJXqyqK+/YLlo54G7EVjgdissso4e2e10Ouh2u+h0OoW95NUh8Ag3baTaM+BuxEqdDT9mVrGGz08Hr3zxYAW353wWbXO9Xi9sZeqOsNpHff5CwGuEyvk3Bx4fzEpESpEV53fj8RjD4RDD4TAtsCLQJWDU3FMePasd7GxmpADUW9GV/9zCikBV97BlGsNwOARwMwh1SzCtnxtwDhZuewUgbUisp4Jp+6rHOk8nPkS4rVdkLCll7AC/13J7e6tyBYqLsPR4Xz1MQt/1b3ViWC5fUKD5Wcwh0hAYJ4nuhBFNKNZNX17fXFvkgOtTgNdI0UfMof921jXeDpFRYQ6pGlDdvk5zwqL2UGMZpXsoo67nfEfG0MsdtVWuHvpOcRZq0aKgUA25ltNBUQ6M6/XeHrnx7Z85IOJzIyOn33t42Q1lDqhr+aK2iYDuU/TLh0jOMWC5y6KZ/L3eh2BCT7skAZTrR59vJHu4246n1ikojYCnO6UACjp5PB4X5qvaMwc8kb7SsurnOT26SHDL3E6mTXhZVlZW7qzFUdKEGIe2bDqdpj3s+VJCTvNcVd85ycbF8b41qc7DyPnXaKVHJp1cUmeJL71Wv6ct4AK0drt950hdvpztZx9rXm+Z3Bu8KjBl5Sg5ADSdTu8YMU8hOD8/Lxy/RhDsi6aUweQhARGDGb2zYXUSktqnB+QJ7AScBLAA0oBRZlnr64vRCF45YPWUL83PBYqGUr27x5Z+v59tI+03/UzrGP3tIQ1dxQogtQO3GaPiZBhG00SY78xXtLce+04VJMdGq9VCr9fD1tYWLi8v01HFvvevn9ymhsHbIWqLqF0i8JozXo8hDsii8pRd78aBn+cMX9mzgCIjoPNIIy/eJpy/uTxxzn9V6hr6Kou4qOSMo5Y9qrMD2EWCJdVPkcMQARHKLOB635eHnKN1A0DRaefc9FxI7adcKs+scTar3cru89QSOQwUB+4ReFUHxu/H/qAjzrxVjwL6M7wPtKw69udpc12jcHl5WQByPCFqfX09LeDW3Yd0sbe+59rsY/ep6iVtJ+D2uHm2gUZaSbxNp9PCjkncb1VxTDRHOH80skyZTCZpbpEJ1S3PgLtOpDpG+q6pH6p7CE5J5OmcZRt4VH15+WbReqvVSmNSU1OI9/jSMmtZZvbJfTvRqfJIkaq37iycU89kNBW4TCaTdMIVcz90oZQ2ID2aecXLzU7l4jKCVG9clplehHqTalg8iZrPINO4vLx8Z2Ui24vslQ/eRcjh4eGddnEF5ookAkPe9zrBGfJn/9Tr9cSIMm1hPB7j7OwM/X6/cBKaHut7dnaW+sJXVvr+d3qk79bWFnZ2drC9vY1ut5v6WPOpuUiB9YjC/DkQqPX2dsy15SIkZ2hmgVc1HBFwnVXvyCv3xSCMouhK5mhscbxz/KsOAW7z3Dl3OAfZ7x6eVLBZ5nzl+i66LmIHH1uiPlFD5HWIypIDovo7vc7DdxFIYr/6AlzeRwkJ9qUSD6ono1zJeZhYfd4sFi4iFZ5aysAYcDfFLkqb8boq4cN5RbupkSQHJcq8OZPnIBbIR6D0ewetvhUX/+e8rdfrYQTK9ZGO1Vn9rGWcdd1jCNtP9TtZV40U66tWu937njsm0SaSNGOfAEUMoXMtGhfupPBvXUDu4BW4uzVZWUpPZOM5ruiY0Lay/o1Go4D3PC2Utn51dTVFVYmVaM9nyYPSBiJPUCtI0MqcGO8QXZQTHSKgR7MyebnRaKRJ5snmVKoRwxVNFHaUMrnccokAUsumqQxqgJm87grHASxwu8UYcDOgPO9Iy0cFryGax5Z+v19qvNyI5ZSCKxrtbzV4wM0kHw6HGAwGKYxPxr3f7yfmXY/I42Tn534QAdtfFbEyrwcHB3j27Bk2NzfRarVS2/spcfPkv0agx5VGDvA+hfGMFH1kDNQo5MBP9Devj4BNtBBEnRd1OhyEqUIkyPHcWQWt1CEERh6V0b2TWeZ5mRs30A6ongrARv9HY1D70iU3f31MqB5SPerpH6pn+XztKw0bUo9SDyhjxPmqrxyAiwxqWV9qX39sts4ZOh3/8wBX1aURcNX0J51nSiK4IxHt2ep2xnNmIweI48LZSIJngjUNbWtqAu8bsfKRk6aS69dF9vXFxUXhGWRDa7Va2jGAY18XkrN9HLwS9BPrcC0M540uXibhlYssKbbg/447VLdSIiYVuO3/aM0C24BjmWBT15uwn3UMaf252E1TF1heXaMyS+4NXn0wlxl9V/hsENLGyqoRuOr+YRsbG9jY2ECr1UrMJSfvaDTC6elpOmvYcyL5PFe02tgEOfocNqqGJXVyaXI0lTq/ZyqBG103pGSWONhZVn4eGcvHFioWB9q5RTbap/ruA1o/89xGhpJPT08xmUzScb8ErtqPrqCppJWNUwMA3CpqOiPdbhcHBwd4+/Yttre30ev10Gq1sLa2dofdUy/Xw5leP302r49A2VNJBHbKQHh0/SyP259DB8CdAF/VrOwEFf08SpTKTvudThBwe7CIskl6oIWmE5X1jTIb0fdUyBwv2l6LkMixiMpIyYG6iGDIPc8dEWV9CD6odz2fTgGW6gxlf7Tf1Oj54pGIkfVFuDlx0Kpt8LFESQmVMtDq4zXqHweumiqgkUnd6kpBgbPhzryqQ8J8TXfQ+Z2We2VlpUAw0EY6caXMrJYpB86+DgB2NBrdycVnmRW4uTPNOukaG6ZU0ObrIQQapufaGHUSfZU/he3PMrgty5Fhaj+B4jx2XeC2w0kkgnUn5NSZUQKSTDW3AyXuYsR9ltwbvEYJ4fOAV50QBJ+DwQDD4TAB1/X1dTSbTbRaLbRarbTPmXYombrDw0O8e/cOBwcHOD4+TuxotCiEDa7AlAC50+lga2urED7mMxmC1g4iA6vbP1ABcDB6+MQ9VA+dOKDl/4tmd1QRKeuSY10drFEUrPpY0DAH+4+Oy+npKQaDAU5PTwsHUHioMlr0U8a80Ovt9/s4PDxEt9vF0dERdnZ2sLOzg83NTbTb7RSq4XPY9rrtmqfJePtpW0SgxoHIX/trf+1hHfYA8T7KKS5nFHNzmaILRRg1cQabospTGR9vN2ddfOcRGkE+XwGRzlVfca2rfb1uuT7lde6k+xxdlPD+ZYZ43ueXsZAOjFSvKQOrzq3qVDV6qsOcrHAmDyiOCzWuHnIFblPVHMDmnDCtX/T3fdvwoaJOtpZPdUcOuOoYpG7mnNAX54W2oadT5bZb0vnkz9J+VmeD9VCyhnObeZ9KQHgaAVMH3LnVe2v9Z/XVrD5+LNFjyCM2U9tE09hIZnF7KTK2bHMNk7vzrouqtW/cSWF/8v4KKvmdpzdGbaXRLo+meeTMIylMj2Bk0/uFjPzl5WUaK7S5uqd9q9VKBzQMBoPSPrk3eOWiJS0YJfKY3DvXleW6OIuAstPpoN1uY319PXUEAc3l5WUCrm/fvsXr16/x9u1bHB4eot/vp0RoDwOzUXVFOhup1+sVmD/us8YcW4IZDQcwnUCVOief5+YRmCt4jUBhDrwuSsGur6/fGaRuaBSUanmckeR9PA1CFRH7bzQa4eTkBMfHxzg+Pk7MORfJeb4U762G0Nl1NYpaxrW1teQgcdyura2h3W6n75eWbpPc2X88pk/HgIobIQX1/N7fF9mXkSho0f8pbihnsR3azgosfTEdn6WK3BmgiBHVcUVlp/msCo59jAAogC7POQduT9Xz+rn+igyn1j36/jFFgWZOn+au87qofvH6aGRI8yc9zYPXusNYNnYo1Bt0NLQ/2EduiFmetbW1ggPCckehZZYHKIZMywx12eePJQrUXX/mAGsEXKNUAeZYso0dtPpL14j4PIrmlDJnCnyjMD+jlASva2trKd9dSR59j1LqovUdZfPBr9P3xxbuQqQ5rx4hiFJhgNuUSQWuqkt0POtcI37wfFUF+opvOAb8vj7GtM2UvPIy6NhTTOXjTR1R5sGqnb6+vi4QGOpY6RxnqijTRR8dvNLIOxvHRnV0r4qSzJtOPg6C9fX1dCxas9lMizdoHMnU9vt97O/v4927d3j79i3evn2Lo6OjxN7xvj45lHHl1hSdTgenp6fo9/s4OjrC/v4+Njc3sbW1hW63m84YJtXvOXmei8eBpGEDVRo5oOV/s8yLZF83NjYKisTDAxTtZ58UytjS0/atLzh4uTDv5OQER0dHiTE/PT0tKDkvhyolDe/7/SOlxfvVajU0Go3CcwAUlAIVpy744ibRqqxdCUT9F4HWpwavfH6k9MvKlWMydLwrcI0WikR5qMr+eI6VijpwVPYEwtECAHW8NMfOHbJoi5scG6fOJK/19IFFAp+ye0dgNdLFkXA86JzV1I8oB1x/G+mAKKTvRtHnK4VzUw25rkj33yuDrmVyIYBdpJNxH2E5nS3L6RTVa5pD7rZTgauzrAoygVviSFOy1FmJ9K86obSB3LrJc2fp5Pt81517IpJEgaumMjhBUuao5cbXY4pGeghEo/pSv+m45DjW0zK9v9nufkRvLkKVA80+toD8Vn9qO9WZ5HccX6yD7rdPIKqgldd5+hH7Tq9lu/FZuoUmU79myYOOh9VB4sreG8i9e11tV6vV0oQgcG00GqjX6wnokqU7OjpK74eHhzg8PEyf6WIfhizUmLLB+CwNuTDn8uDgIJ108ezZMzx//hwvXrzAs2fP0O1208bE6pHoJKQC4GDRMCkHurMY7hXpwF40eO10OmnQRqkMFDeMngbgrIAqQypHpnoQuGq/MeSsDkAE8nPKKvqewsmnYIr10LCM9oWH3DR/UkM0Ub94H35s8KplUsXv7xR3FviuHrhu96LHIiqYiRaHUD/oPMkZHTdQZHeYW6blYSSHCpOG3cPfZQA2AmkuOiYX2Y9uoHNl8e/Z9n5N9Fu2n+4IoXrTc9y0b+cBXhp+9DZWQxrNadUBuXtQp1O0DZ6ij+4jDvLVYc7pEncwdM456aOA37cNpGPgtlcJId1RRw+DYdk1JYCggjsA8eVb13mKENk5TXPgAqTLy8s7bKXbGm+bWa9FCMeURhc5DldXVxNu0TxXZbB1YTFtDO9HvcVFYYwSLi0tFfYu9z1fc3njDl5zzh7HECPHSkZFzLGmefC36oBQx7MMuguUA29Gp32+qm6fJQ9asOUAjJ0YeUycPL5qfDK5ST7WRVPNZjNRyQSuBwcHePPmDd6+fYv9/f0EfBhu5m4AupAqF1YmWGGnTKc3KQmnp6eo1W7SA9rtNg4PDzEYDO6E/DkwV1ZuNhfWQUDmhxOfYJn7u+oA0pCMijMbi2ZetfxRWfhdVAY1gASomiOqi7M0TeDk5AT9fr+QK5ljW8vqrmXWSablbzQaaLVa6Ha76PV62NjYSB4dy3x9fZ3amWkqGinQyaksrJYj135fB/Cq5cn973NF66P9rOk+ytBRgftiG8/5iph+9fwpyoYrg5tzQFZXVwtpSJo65ODHmREHrj7etT2eChRFTpk/V5lFjlG/LhqbqgvJoDvjqkyoO3Vl4JXP00iIO6F6T62LlpdjISJJaDAp0bxyImUWoFkU4GH5csC1rM80D1kdDNpOJWUcKGp0kKCVUUsucmaanANYJX2oE6n7ePiLhnY1Wkog6/PV5xsjX+4UOzkQOUb8XaSrFgle9RkUJ6mY6qggV8EcHQu20dLSUgKu6nhRNFrMiLETKTqeyiKEQLyAns/0+Xp9fZ2AshJWPj+1Lci+Om7RNnB9rpF8EhHzzFngA8ArK6yA1UEtr6fh00VVBK7cVYDh+el0itFolBbbvH37Fq9evcKbN28SeNUUAd0ehOkHvI92mjYqO0BPu6D0+/07hyTQKyG45qDyOrI89Ch1QdcswBMB16cAr5GSyD1TFYbWmQOORhG4AYdnZ2c4PDzEwcFBShMYDAaJKdPFf94OOpnmEW1fOg5cjPfs2TPs7Oyg0+kk8Mo+ViXL+1CZ8nP9Xsd7mcf/dQCss0TnqtZBjYQDHc5hTb3QsJl67G6AneUrY/pU0XP1KfOQmYvsoUYqXRp5oNhfrJv+RtuC10ftpO3lRuYxRQFyznHUsgDFMLmX2cuvLIqmDOiCOOAu6HJ2x9uVZfC54EwegMLv+bkbUgXACvx8UYqLOiCRPovA/KLEgaqysJFuUHDAELLvtqLkSLQQC7h16piq1e/3C9HLk5MTDAaDtB5AHRi3m8oU1uv1RDT1er306nQ66UVbrkCOdVPMoOsYaDMVvOZSiyLgWqaHH0uisvBznx9aVh2P1JVkUAleCejpiHN+EBDrCVy+v3xuTDlo5bv+HTm+immc5eVzaDsdZOZwC/tZ28q3TuN414jDLLk3eI0Giv5PIFmr1QphZTVawO3CGO4ssLa2BuAGVHBRFnNbDw8PE/DR40JZWQJNXWDDxubAYIOwzDSc2shcMEDwfHBwkPaXvbq6QrfbLUxM1v3q6qqw4MiZOx0Y3nZl3tEiwQ8PCSjz1FzUceFg5OcMA00mk9SHx8fHaasqLqrzQwFYZ056d374mYoDXE0P4DjY2NhIhxRwn9dut5tCz2ToOIkUOGl4I8c0RROU7/65g8Ovg+TADd81PB/lRKoyYliR8w+43S2ARlIjJTp/9X4ACiCF26ZwcaUzPbqQkkCX849GgbpHHQ6GOJX9UnGmx9tt0eBVy6BjPVcujn9lTCM9rXPXd/Ng+3NsK0sYsek+D/i36lQFURRlCX0hCuuu71pWj6y5Ho0kmotRGy5CIuA6yxlRQ+7OBevvAECBq9rbs7OzQtod0+10i0kulvUdVwDc0YcEU+12O0WzNjc3sbm5WTjNkKQNd+3R0LrqWXWOddyRkdOx5o5jRG4skiiIdH6Z+PzLAWytty5MZJsp60rQ6wwr76PP1vvr37n/+a5Ovac+6kvBpeIC1oXlUKygZebc1/mv0bjxeFyIbkfyqMc3sWPIynAS+ubWGlInhV6r1RJbpxOOC3rImLBDlZav1WrJ0HGnAqfl/TAEguylpdt8Opap2WxiaWkJ5+fnODo6wtLSUiEnkxOMCcfj8c0xeFww4kyPKlhV1K4oHEAuUsFy31z33Lw/VTShWxlldRLOz89xenqagOvBwQGOjo5SqgDHRuQNsp29DJGRUqaHny8vL6eFeJubm+l0ra2trZQy4A6Nszu5sJX2HYA0ZhVER/21SIX6IZIbW2ogfCW65jx5KFQBCeeKOqFHR0c4OTlJqQeaI62hUGV7NFTJnUG2trawtbWFXq+HdrudFnRxHnN+8p7A7R6LHv1Qtp3ibMJTi84xNy7RWIr0TI5ccDDo8ycHXP3l5dCysf9JZGh6Dr/XPD5lDXXuqXMMFA2kGsqIAYrKlbtukf0d5ch7v1B8zuk6At39IWKhNVVLD32hDSXjypeyrppH62QLUMxRZt/1+32cnJykFDCmITD1gA5Rq9VKx4Dzt+yHWq1W2EqLANZTDuYBgFrep5TIEYwcLwqJAI5bRnR1brBtSMIQk/j2jWXsvY9pB6g5h06FfZFLT9C9+Vl33sd3IHCHmvd38kBJk4WBVwdZWnntPE5ABYsaDiTIBFDY+7Xf7xfAzvLycjJUzWYT/X4/Mayj0SixKd1uNxk2en2ad1mr1Qqr4QGkbbO63S663W7ycMjonJ+f4/j4ONWXLJN6vfQqyTBwYAK33oQaZ3bYLKW5KHYHKAfLOTDmk1WZG+75yUVZ+/v7hT14/YABBb18ltbXFZX+Tq/Tz8m4Erju7OykXFfdAJr34720TjnHQdvKPcZIiTylI3JfyfWvllUXiyjjCqCg0KJFCrql3atXr/D69Wu8e/eucIIa2SHdD9KZPBposj3s19PTUwyHw9S3uliCRlLD4sAtgGU9/VnuiHws0fC/lyuncylu1H0OeZ6xsmDAXYckyqcrAwk6fqK8Ws45D4cqE+6OtBMBLD8Nvz+b1/nnZX27KODjuyMoA+79qM5FGXBl+3nkQCNe3M1FnUYyrZoqwFxX1c1KHjiQXV5eLqT/6EsjKAq+r66u0ulRbA/eezqdhgu4CNTYzxHwV5mnjz9Uov5i+S8vL1MutkZ8PUqgC1W5BRZwa1c14ue7GJTls+YArJc9utb/1xQf7XfOWbXhwO2OPp5ywro53mF76H1ct8yLex4MXt1wawE9143hCHYM8zcIKJh/SpDJVeiTyQT1eh29Xq8QkiYY4bOZj9rr9fD8+XPs7OxgY2Mjgdujo6MU+td8vXq9jk6nk3YX2NraSkeIUvGyY87OzgqnPzBEurS0lMA4B6cqV7aDKht2VJQjxjZ00LYoiXLlIrYzYgaoxKgUT05O0uERPECCfanAR5/l72XKh2OL5VaFzv1be70etre304laGxsbhWP61GjrZGHfUamsrKwUHC8dv84WuUSA6GMwAy7athxXbqDciOoqZ44Vz4Pj3KSxGgwGePfuHV6/fo0vv/wSX331Ffb393F6elrYy5dzQyMoESvAXDvmuuuOFuPxOG1rRyDUaDSSM0yDyPJFDoiH38oYHsqi+jN6Xhk7Mut3aig8/M57eB6rMifKkERjXZ1Hzk8HYbo4EyhuRzcej1Mqlub7uYPBZ2lKlhtlB4k5o/1UDoq3lzsMSmioE03dGh35qvqHub+0UaqDlTzgwixN2WP6FMvDsQGgQO6w3LVaLZWDLFsEfJS0oj7odDoFB5P39DQ0dTjpgEbgtcw5icboY0iU560sIfszytVl2dh+0+k0gXV30qLtBTXnVG3lLJ0wz+eUMp2noJOMsEZtlBAsm2dqWzzqo+kGDpBzcm/w6qxh1KEaLlLwShaFp2gRvF5cXKR0gaOjIwwGg+TNcJsqgtXz83McHBykycRBwxzH58+f47PPPsPGxgaWl5fTObpXV1dJibKczWYT29vb+Oyzz/DixQtsbW2lY8kIWBV4UREPBoMC+8oNdtmBTGgm2+M5XhzgEQuig1MXOzy2ROBUP4u+d+XKc4q5uI45yu/evcP+/j5OTk4KqQJRiED/VyUVgT/NedOcS2Vct7a2EnDlKVrKuKrx0FwbOjYUKniGrAEU9jtkf36KUgbM1Emhc6Jb22lIT50CBSpHR0d4/fo1vvOd7+Crr77C69evcXBwgMFgEG6HllNy6mSSFdeFKrotDxfisV+Y1qGAioaGzqnnNEdtpCDP0wueQiK9MO+z1Vjo3NUQsdYpChE6yxOVTY2NOre66Ii6l/OWaVZk3jgOnFV0J1PrkgOvEQP3MZhXsnGuV4HbPGV+FgE4j0p4DiJwe4zy2dkZjo+P0xaSjFwSsGqUsNlshuypLnRUAEu2l+8sB/UqGV/WRR1+d35Yfu1zdaxYf9bdV7t7v+XGwGOLptkpoFZHbTKZpIiwRizcKWS/qeMHIPWrHuiiOoqiOuA+ALZMImdCX060+aJ4Zd21bNrPfI7bfm8nAvtZ8mDw6p85QNB8OSoaAg2uHGZoYDwep3AHc3IApPxFhvNrtRrOzs6wtLRUGNwEr9vb23j27BmePXuW2NrBYIDJZJJAJ1nQ5eVl9Ho97Ozs4OXLl3j27Bna7XbyDK+urtBsNgvb7wBIDLHubUfj6YwSmR5OdubIOksdMZA6oRch7lnz3cuin+sAJyvH8DAXZjFUpTlQBB06TqIwlZfHGd9arVbYEH95eTmdyuaLs8jOqwFxRUpATKCmYTqyuZ1OJ00msu4EALkcQNbBQcdTizNR/Dvqbzek2iaMVpBtZbSBCp3j/fT0NO0QQtD67t27tLUdwQufp0CJon1N50CdY09n0OOaPSVFAS4daE8TUQbL+9EBvo6jRYmDMC+P/s3xnCuTs1oct5rvynbmuxqSqCxR2o63qy/G42dnZ2cJTOn2hj43nAlnffUZXjaNBOb6Uudj7rrHlHmYcb5HKVnaTwQ/uv0UowkRcOX2S7qyXZ/LPmEaAfNgz87OUtkJsDX/UvcaVdae0dPBYFD43HdE0EW1qmsIkLjvK0/qYhQzchzLHKvHllarldpOowLA7TxTVlrBKvWl7oWqAM7tE/GCbg2Ye6mURUbKRMujc1idGrWJjDozNZOkIvEPUwg4hnJjX+tMHMd6LYR5paJXJcDBqp97mMpD7Mx3JcAh83pycoKLi4sEDrvdLra3t9FqtVIaAT15bmdE8NrtdtOK5I2NjTRwRqNR+uzi4iLtSbe9vY2XL18mxlWZtHq9jmaziU6nk0LjDH2dnZ3d2cKCgJoeqXosrDcTkDnIVEm7oSwDd4uSyGCoKFNDj193FeCuEDyql4pHFxc4cPdBquOKQrDMVBJOCKYKbG9v4/nz53j+/Dk2NzcLrL7Wje1NZcg2516/epRsrXazTyyNwPr6egJKDGspuFLj6XX5GMB1XtH5qkylpobQeaO3rYaUbajglSkjh4eHODs7Kygz9oEzDOpI6C4inDtkwLmlnjpBbvA934rjj2BAQUIUwnLDEM2DRRnMHOPgY8mjEj7+IoMUMa/8TY5xzZXN25731ZC3bonG19nZWQqvOojWsigw57PoKLkBj8AuZRYbu0hxVtBFSQFdZa2gXx0M1aVsC+ou7iZwfHycootMzVCnUxlDjXgeHx8X7J+GwTVdji+PbNBOsf+5//rZ2VkigQhkSfqwDeh86ljSz3Q+a3tqfRYt7XY7jXefNwpidf6pE616TttMIzuurwhgvd46N2dFg8oYTD5bmVb239nZWTp9lNHTer2ecNbGxsadPXwVwKqzqOPYySMtn34+j828N3glSFWWI9eB2ijqNbIjNexA7/H4+DixjaThOXkIYph20Ov1UgiCOw0o1c7n6ZY79Px7vR5evnyJnZ2dNDDpZdRqtfQMgmWC07OzM1xfX6Ner6ctQ2iMOSnpOZBZYKK7hoDm8Ro5yBcpuTLkWCjNOWW/MW2AiwOYasFxQW9NFa+zztEzqUAJlH2fSTogehoaxwDLzPKqk8X+ub6+TqkPVOBcEQ/cKCzta91bmOHniJ3isz+m5MZVmWMCFBflqRHRkJLWWR0LMjjcEotKi146HU2d04zAACiAZfYb5y/nI42o6g/Nr6dRJDPl7K5GhZiO4AYkmp9PZSRdFODoS41dBDYduCqAZJ3ZPg4YZxk8DZUyPUxPadIFO7r5vX5P8BUZbzdwHi1w4Kohx0WzqfcRLUeubNpP6ljknAuCUAKp0WiUdndhhGM6nSayhCSQ5k1S/1F/e2oV7RnBK49u58EEussHdTMde5aXDBz1q+7oo8zt9fV1OvUSuI2s6FjVULw7LE/V161Wq9BH1IPsF81JdXKPDDTbWfubek6dE3VSfI2I11fTTyKJxpv/nmNJU3xoD7m12vX1NdbX1xOIZfRc9QWxnM5rjm8lPcgsK4HlzvY8uOeDmFenutkYWhnvRA0dsPCcREw4p9Frt9uJCaPHTSaGQJQTSEMpNIKUpaWlghFcXV1Ni7S2t7exsrKSVjCfnp6mDul0Oul67mrA95WVFXQ6nTRhNR9JARJBrG81FDEM/rd7Jo8tbqTdMKiooQOKuVbclsW3w6KyIkjRfDYd1F4WCq9higJBMENL7XY7HUCwvb2NTqeTcqPVQGs7csxpKJNbynCBw2g0Qq1WS+88Npj7/OpiPQ1/azvm2nsRErHVs4y49zt/44aUxpS/4TxX0Kirl7kogREWMicME2oUQhfq0JjypCzNd2WePI0xAS/nPsGzOo56jrjrJzXQdH69TXzMaPvOyww8RFxps0804uBsHOuobEcEXpXN0rBelCaQKxvnI4GJbkGoQFUNInU4n8/Ff7qdmYIADY0ro+y5cGwDjjnWx3VmLmzJeyxK/N4+brSfcsy42k2NGDFHX3fnOT09TbqRC6MJNJ3Bm06nhcWW7FvOC25Pubx8s/2gRzZJRhCkMhLK9Jxa7SaEPhwOC8BVN9v3HF6NWCp41cVN8xI/jy3EG8vLy8mWawSKOcicp0BxTKvjwb71SK+2BfvayQbHVBzzlCgCGAl1iealM8KsTD6jZ9PpNOldptIBt9tiuZ5SrMPyEMQDSO3hwFXHIlNYcvJg8KpGQI23KkMV9Rz5vS7sUvBKRceFUDzAgEaOE5MsKtlSAqrhcJgmFhUBJyUnDz3JZrOZJku/3087E3C1oxo+5ubSIG9ubhbyQTwniWXSkKamErBDvS3ZmbznU0mkGCKGTsMLyradnZ0lz4vsmp6gpvvvArcTiM/2ycpJwInFRXEcA9w+ifu4kg3QSeRl110SlLXgfrTKvNLbZDqLrpp1paTA35+5aCljr1UiY8r28vClz3HOH85fgg+e4DMcDgssNR28tbW1lDNLUEsWlcdJMqpBPcCFJnoPNXpkboBbJ8pTUvhbzjE6GWSR9d7uUOo9ovZapNAoKEFAneGLYFg+/Zuiv1Xm09keHRO5seP34mmJ1Nl0/NnPGo7kOKFeIPDl3GY5dAtF7WuNCHBMsqzU8VFEYF6As0imNrqv6rcIvGquK4A7AEntpvYBda9GOT0tR3Ui25U2kQ7N0tLtYjpGDQmCybzSgaddVDvO6BT7RdldOqzcrccxgdpCtgkjJGozvZ+fQsd6GhrnDttZ7b2CUy2zAzzeh+OfIN/D8ewv1dOsu0dMdNxQ3KZ6+6od1/2BDw8PMRgMcHFxkTCRLuLieGG/6Zoffq/2g/Vim0Wsq6ZmLAS8UlFEzKuHfJQhcO9RV637RGRulHoX3W63sJfj+vp6IT+IE5odrwwAB5MqSQ46KmQCmeXlZTSbzcQkKPtHJbGyspIWJdEYqMJQJlhZEAeqbDsHP/6+SImeETEEmpOoADA6YpBsW6vVSovuyGKr0vNycNJpAr/uM0olRseGJ7Spgo5CbrwnxwhzXAlMmTLA/qXR4DXHx8dpT1FdhMDx5EzOUyhUijJuWgaKK3h+r6BHlarnY7EtWO+lpZsVoRpeYjoNU2f0SFcu1FFDyK2tGD7ieKISJ8DRqEnuCFqNsrAuANL+kqqPOJcnk0lKG3AmQ9slastFiu54oXpDdYfr21xZnQkheHX9UwbyIuBKwMrN6glemSal7agOqEZDnMWNjkEtA+RksJSR5niZFUplWy0SuPIZ85RBjb4SHM66KonCPdF5WpZuARkRSmxrZ8TYVlyPUa/X09oOjZoQdBK4OkOozizHA/uT9pprSHRRrDJyysQ7oNf6PzVwBW53G+BzVTfpwirtQ08n4JhmXwO3DCSjiq7f2BYaRXFW3seIs7EUj8ZomoDaOT3MgpFl6n86UGpn2X/aZ576ouNRy+PAVfHaq1evSvvkQbsNKKBUJejfq1JUoOahD7448Pv9fgo7ELGz0bgQS8EDAaQOCM15i8JTLA9BNHNzTk9PsbKyUjjKksaVSehcUKabM/PemmitIa2I7vdwprfXUzA9lBzgcQOq7Imu0I/SIqiwGHIi+5oDr1pXPk9z6HTCKgMX5dHyOh2r19fXhdAIASuNsIY+OW44Lsm8aviarH2kKJ5aZhliN9Y+JssUJBUXASTn5tnZWdohhA4dnUKyqpwPdAhowHRRHQ0Zy1Wv18N8MDo+nsNKYEWHV8cgT1VTI0LlqCyssxdanshALspoDofDwjNUoVPohFPHRRKF4pwVAvLpOvq/O+8+d3RnEQB3wJaPMZYritBFbLeOVTd0UZQlx0S7fCxigOL6VYErf6tpFM66ErjSTpGldJ2oulpBqc4lOqV64I6nAOmhQiyzAifOT84xPYyEulWBMUGa2kxdxOdjtizCtGgQS73HPgFu5yHTMrTeUVidfaskjBID1LGq39z59L1/2e6qm9WhYNs4aNUIijKuzJseDAbJDmoElYv11FYrlooiPOwvtpfnX7ue4vssedCCLVeYZZ67Kkf3DJS25osgkhVYXV1NDcejX72T2MnsUDI4NLyqNFXUC9Ktd1ZWVgqTHUDyWl0RKGhjeVQxOJBX4MoyeDvxcwW3TyVaDpZN20mBK+vPNojytJizqDmOmh8UsUY62Zg3yes89UTZGFf62pYEOMzV061huJOEGmAabHVaTk9PsbGxUcjvYtmekmmNpGz+5T6LACzbScNCVGAarvdN0cfjcepbGjkqM2VZdNseDwXTMNbr9Tv9yTnj+oSfqdLTSAuVu3r+Ol4UvEYvlafoZ4bKFKy546uLdnJl8vmk9eVn0bWRUFcTvDK/Uhk2zhvP3SN4YtoIRRknAiMdY7kcR9VJs4xdBMr5+X3q/1CZhxn0vnHGWSOZwO2iRk3ZODs7w/n5eYom5EgivY6Mqu5ZrSwew7oACjvFKEBjBGYymRTmmDKyauOpY8nCU7/QTjASoqkzPk8/lp7VfW7VqeeYJS5iW2vkyG2RjkONButJc0AxL5UEG9uQ80n3uGZb6nhRna5Yy4Gr5k1zS0PqcuIvPdGQzpHqZq2H20a2g0a9lWHWuRxhtUjuDV5zQLXM01XgquE79QSihP6VlZUCUNLVh1F5FGTpQhMNu+kkUOOpnh5/48o+8pSVIle2RplT7WAFt+zUMgC7qMkagUYH1uwn9f60r5QV9ZQIoJjnzIFNRcky5MIbnIhaTg1z8req7BTQ6KTQias7BqiXqONFy0Gmg4pD9/1VRsBBhkuZg/ehomC07PvcbzxU5wydhozIlBLU02O/vLxMezEvLS3dUaiu3MnaeNiaTic/p+i8Y7l1NS77WReOkUnSXKucIZnVXt6/i5qX3OOadVLROsxT9lng2/UTr9H5q+k77vTpbio0aMrSMfLERa4MIbPfuRCo1+thc3MzRTai1fGRnmR5qZ94DT/j/xGIfArW1Z+nbevjyI2220xew/mje7OS+QZuczN18TD1G0HLdDot5MIqc6aEiaamcP6q3pxOpwVygkQR56jaeo4fZYmpX6bTabIRBH3evx+bINAFoNQ9fmAN9SIXvGlE1kkpAAXQ7oykjgv23Wg0SidWMpK1vr6e+pNrg7Q/NWpC5lt3hmHaj6b+AEhOZbvdRqfTSQv1NGeZQFtxjdaHucoaodc1DJznbJf7OikPBq+RR1tmwN2D1I7RrTHU8/R8NQedLI/f18syK8zk9VPgqRNYB6GH0ssaXu/luy1o5+ZYhkVKBJwdDNHb1i1wFLxqm0YGMsdi5YCrMmHRpKYnqWE2Vby8Vp0jsqcKPjVExfuqOGDX30XA1duU9V90PzqLr6JjKWKcdO5q6FLDUqqM2K4auuz3+2k7HP623W5jeXm54H1TibLMem+CTE0HUUeHhoGAiQaaOoJ9MxwO07O4KwlDXRpS1TB8Tme54czpjMcUAj0+X1lmtlvkeKrkGOTIUY3mpjsPyvxwbQLbm2yKghi+lpdvVmb3+31cXV0lx4Kgh6fi6Yl4zIUmm6XlcCKAoqyl1oHvChrL2m3RknOKIrbJHXHqYF0YRZ1GYELwyLmRS8tR8KXRlGic6xggCOXz6LgQ6PB5rIem4RB0EzwpSPWczUgPlzlrOd37mEKgr4vh9NCGWq2Wxriy5JoDznHIcexhdHfYWXeCV2XbCZKvr28WybZarWQD1W5ruo++6PSQcfXT73hAFF/tdjulgvGlhAb73fuSOId9xbHJZ9CmaD/PKw8Cr/p3BFzdoOeAWcRgsoOV8YmSmCMGwfN4vCMjdB8BS/eGAIQDjAZ/FtWtAFvLSEXjBsaB+CIkZwAjY+csOT14z3fVhQYaznOgx/9zaQMAEmumYRkASemp4+P9yAlDwKMLG5jLTHbfQ9cqahRZP2eZ2ZYRiFWFFYGExxI1GCq5ucoy69+RY8cxqywOgIIRVQC7srJSYLnJBPAzevbKunAj9WazmYwDmRjdkowgWMcYxwgNx2QySSG76+trtFotbG5upvQTgmPdHULbIPfS8Rq17WMKx6UKdRPbR5+f063+WU6nlAFYymQyKYQaOe/VEHHzemVmarVaclZ8sSsPoCF45YJOTR9w8OYAACju5cy5qulbqq9Vbz+l5BzYMnvpESTWk460Mmn8m6F+jhNlthguBpCYcl3oqouboxQMjWwQAHFNCvNk2e+0bTquHLySmVR774DH56e+a18+Rb/q1l4aXdA8YB5uo6lLWkaWU8enYhsd1xoN0/xU2jFuiUaCIGKrdZ9d/o4vZe15/DfHDNeo9Hq9tD5BdwDh/NQ99dknDsrZJhS1KQT/Tr7MaysfBF41PMPPKGXA1YFflLPEibe0tJSoaW2kCMA6cNEcnYgtdbBJOtspb96HHk0UYpvFNnr99T7uaXmn5ZTeosQNmfYlJ5ErTt0Whdex3Apa9XsNR6qS03bh4KYxo0fOSalOD4BCDg5ZivPz8zuJ6PT6dcseIH+0nj5HWeYIrPp8iMDEovpNxRV/mXjqDO9HhaSRAu1X3XKMISjglm24urrCxsZGYgfo9BDATCaTtEuDLtjg/KDjqiFLDYVRdE4RvBIwsa8jA0l948CddXRnV/t9Uf3I/nCdwme605QbU653KO5s6fWRaH9r2Jnzj8CV2w7yBDQadLbnaDRKAJeGttFopG3uuH+o7gWdY6O8XmwP5gAq8aFjN4rMPYXo/PfPWY5Il3Dcaz2phzRdi3qJLDifpewgx/t0Ok3/M3TL79gv/NuBs4Iogh6C4bW1tULqloev6axq3ibBtC7gVRuuxI63W+SMLHJOAkhjkm2qW7oRvNLJ1q2u1CY6BnDgGs1XZV51R6arq6vU7sQnQDFNjnqZ5AJf3FWHjihTMcm2bm5uYnNzM0VDNE1AX5xnLCvbwEk6ZZ91fhIAa1vlnOlIHrTbAAvrHaMSgTbtlDKPU73OWUyq/t4BrE5+bWAHHwp+I6WXq2PkDUbg1Cdc2YTk/9q+ixCf8FE76f9UbM68auqA/8bBvRtPTxHhuwJXhhBrtVry4iJlz/vSwOvWZ9xsmeEWNXjK9pM51PvxGg2nR+DCyxIp2UUrWH02y6Xi/5cBVw39qJJVBlqdGR4sMJlMCjmy3EdV89k1dYDvBGfqDLEN9Rx09gUNnPYBgZ+vyvX56eBHIwQ+vvS+vphmUVKrFc8EpwFjWHhe8MnvdDwoaJ9H1ID6zh9kvnl0L8ErjTnnUq12k/7TbDZTn/PgD4YkNQdOdf6sOaOsuDqimgOo8y+aq4uSeee7z0G1H/zbHWlPmfLnKivORUZLS0spL123+GP+pJeDZXEQxf2xmcMMoLCrh6Yo6NzxLRbPz8/v7OfLvvd2yLWt67pF6VjFBE6SEcAp6w/gjl5R3RPhGp2rDka93ej0a5vXardbdXl+OhlX7g7C3QQAJEdGgSvnJqMhCli1/hGWUYDu2M+/d5y2UPDqoJSfAXfp8Ugig0/goIBRO6QMwJUp8hzroO/RPaI6l0nUYewQbSNvr+g+2paqkBcpOUXgRtxTBxS4PsQgqLfFgcxQAvPmojCUjj8NWRBsXl5eFo585eEDp6enhVAVf8Nn07A7gGW9CYYcwOaAqzp6iwSuZW2vDlrOKXHDSQZnOp0WlCxFDanuPkGQqvnQ7B/+juO5Vrvdgke3muFqaA0rsu+VASfzlwOc7jzxmT7H1OFhvbStFECW9fljCfNx6TRHIDoHWFz0s1kOVwTs9Lne9mxHXaRF5pSRFQLdyeRmdbvuNqL7/fqKd3cwykTnvKajKCNFA69gir99Cocy1zc5IkaBjoIYBUO6uDhH8ujnzWYTwO3CI17ru0AoGFLyhmUgiNJUBS7W0jGgoXMCbRIQfg/VwyyvtoG2V0QKqCxqXkbEWU63qKPt21rxXtreXifVP5HN1Si1Yg3OURI3XIsQnYRHppx7+DJNgDsKkHHVfc11fEUOhYNwbxMfZ1EEeqHg1RvdAVluQLni1ApEHo13Yg6kOtjTRVTsIFXc6tn4b/kbDgQ3El5fBa3R/zklHE2wSJlpOsVji7efg5uckXYGwL3/aFDz/s6e83qOAeYQEbjS0LE/tO3JCDqo0lXRzO3hpGV4DSguBtRdDVQRUBSwOgObAzSRE7UoQxmB0tw10Vh0R1LHufeXgyllpjUth+LjgffXE3darVZaoUvlSgCi4EMXzpFZ4nzNAdSojvp5xLw6kIsA5KKMpOYVA7d7IUfgtazOkfAeQPkiGHd4PHWCYJSGU1OsCHYUUAIoAFQNveqpe7MMWFRWfRaNMscOUFzxzusddCxK/N6q3+epX+RsaR/wGo4Z3UFAQSPbgHqOQNGf6/NeF2iyXxkdYYRkOp0m3c2c5+Xl5bTwUIE2n09Qp2slVO94DmXZ66nE2VTuqatRIndC3MngfXzuatvreFUdq7stcYxTNKXj6uoqRRx58qHu60qHgvO23W6j1+tha2srAVemCeihCZreEMmsvpi3L+/Tp/cGr5HCyxVEWRM19sDdPFM2lp+uw3upkdFFC2psOJnce6NhpbiHOp0Wjw1liIO/Uy/UE8vdG4km1qzOceCobbdI8Joz9HyfFxDkxkP0HFW2VAhkbxS0Erj69iu8p4cc2IcACiubdY9JdYr4eyoTKiMeNawGL2K+IuBa1iaLFHc6/LMyB0Ul18esazROc84K76fgU506sux0VgAkJ+Pk5ATADXDTXQh0jjI0zHC6PqMs7Bz1k/ep6q+orRcJXjke+e794akeZcakbM56CkQ0Fvy5HnFgm9MQKlPn+pa5jbq9UJTb6npSmT99Lr9XZopbMNHeKBijzYiIjEWBoJyuZ73cVrKdc6wWRfULQSbnkwJOOnnA7Y4RmpsKoJDHrzpSw/d8VuQ48fmcx1yox1xzj1RF7aJ9qq8yJk/tfll7P5bwWQSTS0tLha07Ga1ifXLzKTcmHLwq7vHFwjqPdScCOhUnJyc4OjpKJ6/xN7Sh2l/dbhdbW1sp95xMa5Q+meu3SCL96H2qdc/hpTK5N3j1xit7oHr6Oog5ObQRfZNqNoyHTXQCacX1O65o1Tw9Bc0KRnlvXYRCBo8TWw0wy63b++hOCPMCuuizsvZ7bIlYYTdm3r9l4an7GAIqSQDJoKny09XGEWBi+aloaej5ufbB0tJSysfinniqKKh0GG7RrTtoCLVOrsBzAFbTHMom+WOJ9ldOcXg5IgfGDRXr4X2sebGca3QetC/YhzpHdCxx3nOcUxFPJje5s9xbUI3F5eUllpeXC6e4cDwooPV8qsi5iECsz2WWWeu2KPAa6Y2orPOIjnO9f3Q/Hxd8zwEsXVyXW6dAQMU+0K3QlG3NARXVL5pCoqJb2ZGVB25PLOQ1nNfadrnI2KIkatfo+VHEz+cgP6cTV6vVCmkbTJ26uLhI+k1XpStLznmr7R2lDPj402t1vvFatfm8P69Vx0VTOqK2KgOxKk9BGFDf6EI5jY54vymL7IuzVHLAnOBVU9aIwbhdIbeiW1q62TKQi7L0eFe2M0ki7uHKVIFut4t2u31n+yvXHxRGXyiRY+0R2Vy/eTvMKw8Cryyse8HRw9VrV2+fik3PQNej0abT6Z1G1OfqBFKQW+bx5Ax4rtzuYbLMV1dX4ZYu/J2zzGUAlZ9HwHGRkzEHWiIQpEbJgbtuVBwB4RyQUgCkDoyfsJNzkhxMA0hGVZ0MXbDgZdAQjaYb+DMVAGn9nBHSz6J5sSgjGYHneZ+pAIfX6nx1kA+g0L6aD+XAQvtHGQre109kAW631Lm+vtneilEYOiJuzFg+ZQp0wZjPTXc8tA31Gv3M22uR4gxnJNEcjfrdnTTVgdF40fqVASt+78DV86NpsPkbjbRpeSiu63U88l3Tufi/LiAlWNM0HzqlOm48crYIyel6/Ttnfzy9IYrucQ4BN21LO8r5Rl2mQIt2VeetLlr18ULJ6RdvQ36vNpAOoc95J6uitnIQFbGTfG6uzR9DlpaWEvbRNApNzciBei23j7cIx2jdNA1S98NfWlrCcDhMencwGCQHX4+218ixbmnWarXSwQO6S4g6/DmnqUwiJ0frl+s3lXmfdW/wWqbYo0IqOFImZ3l5ubAwR4GLGjhXeNrxPrn5W+bfNBqN1PA8zk7TD1SpsmPb7XZaUKBAigNxdXUVk8mksKDIWUL3Oso65LG8kPtKpLDLBpx6zKp86EGXAaUyj51MjLPY7sF5eXgN7wOgUEYmous2Jl5nVRDcDxa4ZXOo1N1g6G+1XFrfqA0WDXwihycHQhw06DzVuaplV2OlZ3FzDijbxWcQTHKBFftDf8tQI8dRxNrwu0ajkfqEjgnvz/nJdAPOXwVBDszd6EVO5LxK9zGETImHZyOJAKyCIWdClRjg9VEY3QGkj52IodN3XsN+ceYtF4b0e6tTr9Exzf3TVBIC2On0JnWM27j51odqU3Qv76eUHDhwZySae04mkH2lPSLQ0lxHbokE3K4up831NvdIIiVn13x+qOOgUVKW148E5jhR+8l7O+ibpc8WNS89x1R1pKfJKF7IOd4+97QtKeqg6RoTOiFsZ3XO6KwwVU4jm3paFv/WbbDU2b8PYFWJ7GLkbLjTNstpjuRRZ60qPw0lqGJU9kY3+42OBFTAqEaSHoaGQpTF29jYQKfTSWFi0uc80pDhJe4zV6/X0el08Pz581SGnZ0ddDqdwp51ZF5rtVoCx/w9mSkdlDnlNGuCOWh8CokAppZHlaWuElfQOctb13pHhk8ndVQ2LYsaNv2e3j3zKOl5qkLmb/jOHFkqfT1BhkogAgG59ImnADm59lFxwJ37XpkRVyJabxp5Gn9fXMd5qMCH/TGZTNKBBOPxOG1qr06mOrAeQuTcJsNUq9XuHEvJ69w4a76jslB0Zu/Tnvx+UZJjLnJlVJ2j/TwLvOpc09+6MVGhPnIQGjHhZPgc8OhciSSaO86y6sb81OO6oIUMmY5bTVnQcbvIvvS65NpU7WaOAPF5qBGG6XRaOHKT840sHNuKY95Xq6vuLnMsImCtddC6KAPLa2jzdf9uXddQRnKUsa5l7ftYwnQkrW9k31xvOv5hWZ1Ei5xIXqcLpPUkUuIYjzpxnHAsUO8SuDJFQJ0dn8M+R3Ppi143rztx0TygNBpHZfKgrbLcw/fv1cNi4xOEed6rAyE3fu6tMQTMzuNG5EtLS2g2m9ja2krHDTLsWK/XcXZ2hlrt9gg37n/GoyN7vR4mkwm63S6Wl5dTEnOj0UiJ7zSMKysr4Rm/EVvik03bo8xAlSn4xxT3rKNyqJKjwtSTNnyzZb+/A1IfnDqR9Rq+Rx6/KwAAhbDY+vp6aj833H4f3Td0NBoVTnbyfC6dlGVANmqDRYkzIXx3peRlUKOpL81Dc8UI4A4IIAjV/Fh/Dh0K9ler1Ur5rASvei/gdpENgLRPaKvVSmOJba7Mh0Ze9MQf9rMyd5oKMcvhiPp0ERLpkNyznb3hS/ucbaR96CAkB2BV1KDNAhLALVNFh0Ydeq+Xz0d1qFg29p3vJEJCQnc+cV2hKUTck1a3L1oUQaAst9fZP8s5/s7cORCn7nNyR9uB7eIpfxFRwO+jforYeHdw1XnxPnC7Qdvhdebz3fFy9tXnyCIBrJ4EpTvR6PyJQLemSnr9qIN8UZsDYwWvCmK1nTgums1msn966h0PEvF9laM56H3P8ReRStoPaj90PYQ7rv48PudJwKsWIBrIBDhkPpnvxt8ogCUg1PNyuQWOh0j4v5/Xe3V1lZiWzc1NvHz5Etvb26jX6xgOhxiPx4lBZTiYAJR7nG1sbKTcu+Xl5fTd0tJSyh2p1W5PD/E8kQhkKXiiaNiS/+vgVrDINl2U+OCj+OBxAOvn0CvY4X1zIN49ew0HAiisEvbBrmBVN0vXttcdIspSBrRetVothbU1R0l/qwyOhiBdaUcT1N8fWyLFE5UnUvjaDqoE2Z4O1gEU5myr1UK73cZgMChsNwXgziIRHjYAoHCOPeeUbp3FZ1NfTKfTpFP0cwIa6hQCFc5PGh0yUcrQea6dO5naRt7ei3RG5hEHIFGZFMCqE6bpIN5n7OMyvRBFG7RcwG3EQ3/rf0eOszu1ary5o0C/38fh4SGOj4/T8ZZeVh03HHvNZjPpGR3Di+rLWbpb9Y/auAhkAsUDXFh2tpGDO53L3NtVUww0JQ4oLnBzBlCdWCUsptNpeOpSdB8tO8vEa92J4jOjqIGDmzIn7zGFQE/Ht9qdKAVAAWzUn8CtjuQYp83SNvG8Vz8YiOQAcJuPywg0DxvQvVs13Yp1KWNWyyTCEOpo0XFlOcv67z7PBT7whK2oMJw0nFjAbR7XdDpNjU9GlPR2u91Ojc2wEI2OMiZLS0vpqDRuxKthTz2ukAOHDXh9fZ2OpptOp8lYrq+vp+MJdeLXarU77C4BNql3Z3Y8bMWBpatdNRydY1kiw/CY4oM18lxz3rUrMc2biowe+0bZHw2RaR6PM39efw0d6jnwfi/dVkQnin6m+8R6vqbWX8NdulDNc4QU9OYcg0WI95sr+XnGkBo7KmLdW5eKlGOBTCrnLY8s5FZjjIxcXl4WHByyrKpEdUwRvLLdNHeP4JQgWEPG3JqH4VOCV67E1sUOnKduaHT8Rs6bt/kiJAKC2v4OVmeVQ+eu5h/rvaiLcs4NkGeEozHG9lOQHAHh3Hc+Zz1l4PT0FEdHR9jf30/bAVF36Hil0Scbz7+56DZigx9TvE2jvlLngrpEiQ0lN3SeMO2BY1nZVrYDQevKykrBidSFlmRJVS+q/lUgwkhLu91OfeuASPWpA1eNoHpebS5v1J1nt4k6Xxepa6kXNYfby86/WX7WQeeCto2DdtWx+rmnOxFDaaSSulHJn2hBvBJtyiA/VLQO+j+FbQCgYC9n2ad55uSDwGtOgQG33qFPPE4egkGCuVrtJnet2+1iZ2cnGcGTk5PUwNwOggCCe5nxvHo2jBoybpnCs4B5ygRfXNSheatcrFWr1ZKnz5OaRqMRAKSwEzf0pUfG65kYT2+YE5YAj4pCwZt3mL8vQuYxemrcFbT4Yh3PeXU2gaBIWVs3duqd6vP1fgQyZ2dn6Pf7GI1GBWUN3B5UwJeHbZSp8LO/fR899pHuR6rjJWJa9Vk5x2QRMq8RjpS8OmyqMPlS51MVEedCp9NJZ52rouV8YDurN66GU/uEjiz7YzqdpvPUybryen7OjbipSxgeY0oQ9YiuuI5C38paRUzEIvsvekYEeh5ioAkgCF7VaNHYsd4+//hMN6YR8FemNVdmN1YRA+NtoNEWLsLikZcnJyd3wKsaf+CWRGA6iqb6cDwuQnLjJWLn1LGPwA1wm8+vOd08LED1Jx1CAkZ3PBRQUKcSBLN91EEn4OW+oADSmgLaQu5ywHtSH/H3DGNrHjrbR4Erf5dLGZgVel6UeHn0ee5Qqj7l9zqO1Sb5PQheSYL5K5c6ANzoZNVx+htuLziZ3G4l6pHtXIRS28CF/aZ1c+KI9/WIpevfeYkWyqMt2MqBV29wXsPBS694c3MTn332WWJQlpeXcXZ2huvra/T7fSwv3+zr2Gg0MB6PcXx8nMJGfD6N1urqKs7OzjCdTnFycoIvv/wS+/v7ODk5ScelsTN1gcjFxUUhvYD5VTydiQpwc3MTvV4P7XY71ZW5tBcXF4XQFHOt1Othu0RK/L4d+FApA1URiFYlG+UtKXjVCeEeN9uBZVCAqp85cJ5Ob1h7OjKHh4cYDoeYTCYFZch+4EIFTnBVHlTGVKjsc/YflTlwG17UBUa6xYuX2w2F1vGpxJ/NdtTv/FoqW9aBTCe3qiKDyjC8L47UecJ7cBU4nRVl3HULIw2baViTCvjs7CwxUsPhEOvr6wBwZ2N6GnVGXnTbID2qVNmgSJHSISpzLBclCuhnsXYu0Tzi5w7WFIhyTuS26NK5o7mlEYAtG2dlbeftSwdCgaimC5GN16OJo+iPA1U9xU/PbF+ElLGB7uBH7KsyogTnulByfX0dw+EwRSCY8nZ9fV1IwSPYcr1EkKGRrOl0WmB3dSG1LqzknOMqdkYtNfrIOb+6ulpYnKmnrQF3WX21H1HagMp95seHSASUdaxFdYgWCfuOAQ7GncF0R8YdSSUHdfeN4XBYIGa4lsPTPNSG6zwoA7EUTevRiKdGt0jUOW7Q3aMeinkebassdgRQ3CZFafOI+SAY6PV6d5iqt2/fYjAYYDAYJGPIJPXBYJDO7qXCp5EcDAZpcchgMMDBwQHevn2Lo6OjtP8ZvXUAqXO5QwFwaxipGOv1esob6fV6idlhPXm0pRpw9ZL19BN2ONsr6rwyxbcImWVcnEXVbY4UyK6trSVW2xla39dPPU33vHyiknVhyPDdu3cYjUZJgTI8fHFxkRiZ09PTBFhUyRG8MpmdRxrqSSWqfHWhh4e7tbz8TS5/aNGidVT2UNs1YvYUfHg9COYBpL7loQ9kSTudTtpbUJkg9hn7WxfBKQghUNVjJ+kQEuQyXMwt7JiqAyAZ1tXV1ZRL22w2CwDY03k0CqCgWplX7Vsfo/Mo94eI5qQCd/fVjlhM1x8sr16rgMBTB/gMgqYyAOvskTtHWrYyB3ke0THsLKTXX8etf8cIG52aKP/vKSRqE2deVadoe6ve0kgQ9R6BA50QZT0JEtiGSigxeqHpFysrKykl4fr6OkUw+Gq326l/NA2MxEHkUDI3PkoxAO4SGdo2zrg+tW0EUNAf0dxXoAncsv1sf+pTsqBK5rmDpvdSMsjXWWgKg0cnGJE+Pz9P9pH2lw6cLrRlvVhmOoP6nZaVwudqtFOZV01hUQIrWuR9X4Lgg8ErGzfy9N2j0CPjNARCBseZSYJdDROTNeCCLaYHsMFGoxHevn2bGB0CEgJdsq7A7X6eo9EI/X4/eZCciKzr2toaut1uyo3li4wdGUEaby42YxjUmVdVwhGwiADGIkSfM4sVYZ/qoiXNpyEIZLs5qNUwlE/+yPhyoiv71u/3cXR0hIODg8S8ErjQ6RiNRjg+Psbh4SH6/T7Oz8/DOpEN6HQ6GA6HWF1dTYt/mFbCMar1i8CrMmUAQgM7q40/VByca3ncyDsoA4q57ApkqQzZH7wf+7TVaqHX6yWAyS15uNUYc2CZr06h188xQgNMYzoajZKj6ZEMdYgajQY6nU7BGWEfLS0Vt9RT9krHZ8QARGDsKfqRzjnbwwFbVKYcgKXkjJ8aSwAFkM/x7+A0ci5d9+fYsZzkwIjqSA09ev/pEafqoPB6TW/pdrtpvQKJE93V4jHFnQ2trwM0XfCkKVDKsBEIabqbll9ZPW1Xkki8p6bEqaPPNCwuZnaiyXNlPfWAc5aLpAEkB5eLornGhPXUOrLMHhVRQK/tqjpv0WBWxxjFU1SUIWef0DFhXYkNiFuUYed3rBMdEO1vknLsD7Yzn0XCgfrj9PS0sDaFtmxjY6MQhVInJJdG486D2mndfpTknY4bT7ubV++WyQeBVzfW6vE7k6dMyvX1dcpR5WIBonEaTDI+7FwyO1SsuliDvxmPxxgMBoXtQtiwvmCDAJgT7vT0NG3boxNHG52LU9rtdpqAyiDRo5pOizmVOuHZTmwTHyiLNIwqCiQiY+ODScM4OhgJXqiwCPyZExmxlPqcaKzwf06Cy8tL9Pt97O/v4+DgAAcHBzg6OkqL+rhf73Q6xWg0wtHREY6OjtDv95OS8Hqurq6m8UVGfzq9yaPk58qckzngGFFnBChfrRu18aLEGQw+ex4AqyBBmYPp9Da5X3PzyNB0u93C3OL41j0JuSI8MsQcVzr3GcpkOJN6QJnwXq+X5mqz2SxsvcX7ab4Yy1+r1RL74GHVMnYnBxQfU3T7I3eKHmKknd3TNA1lXlU/k8WjAda+4mEU6ojn2Np5nfCoXg4SNJRNR5LkBfWEGnKyPbojhm7QThDF0OoiRMEVReefM+E59lXbV50vDcXTcaRdU8dTV/aTRNL1HKenp4l5Zd/qanZ1fmhb2f8kmQhama6lC+W87ZXtdgfK8389KuKA9akY2Ojo64hwAe7mmNP2M4Ko9VbdxPqzrjrm2+12SpOr1+sJO2kUhM9leXXHJtpsT4cr22KuTFR3eCqP507rvPW0kZw+nUe/Phi8AsVwmlc6WpXHyhKQUPGoYaFR0vA7JznDwDRuatRoYIfDYXagqyJQD5WT+fz8PDE3GibudrvpDGDuMKCDUTtNPS9lHVV5KEvhzAbLq+VehESsSu5ZatAJNDQUR+ZtOp0mUFir1Qq7MQBFRcX+UjCjddZwxNnZGY6OjvDmzRu8e/cuLdQjWGbaBsFrv99PLLiK1k+/G4/HaWUulbazrr6pvudt+f0joLOovoyMpDpIZQwdy6q/cbDCeQjcnulNcMMwoipjzvt+v1+Y5/wtFaUaRWWbNHcrykHWLWU0dYGREwLXKNeeddPwlUeJnsogRsLt+jxk/JAyqeNJgBSBV843bXudswSCjLTQsFKHKGOr4MtZY58f/MxZNL1GARuNuKZ0UXcr61qr1e4YTQWtvnBo0eDV66z/Kyngi1k0hJxjX1utVmGtBcEE98DVPGfaH4JarunQRY/T6TSNEWcaWX4CU84xLqIbDocYjUaJkKLzQNJnY2MjpfPQfqrOUNDm+eg54JobO48tzMdnn+WYYLWRWg/2J9uPaRXqNJL0UjaeNpZgdXV1NREs7Evew8eLzgkFuZG47SgDj7xWwbfqFKC4M4baTT8CHrjL6M4rDwavzqpqpRSo8lo3EJoXd3l5WfCyGo0Gtra2UmeS8vYwBXPpFAz59g/zoHrer16vp4nZaDTQ6/Wws7OTXlxVyYHItAQF4OpteE6digKFiHVctCh4LXuufuYeOCcWJxJBAVk2toOz4Gr0fEKpMWQIud/v4+DgAPv7+zg8PEyMC/taFQFBj3qzOSHoJVvBvqBxIGvj+VrzJJ1HQPGpQZG3a5Sr5QqD40AVDz9jmxLgaPh2Y2PjDnit1Wo4OTlJ85IpO8wjV+fX20kVItkKGmCGgrvdLjY3N7G1tYVer5eOAybr5FvKkEkkCxFFRGYxhPNc9yHCXLYonJYbT1FZ9HdAEcCSPWUf6LvOURo/ApFms5kWuhJQAnfZQX0uy+cGXsXbU6+h7aBzqU4tQRPHFceZgtfI6VS9rNGTx5aoLVyfKjmjC5P4UhCi44JjeGNjI9kfzhUulFQd6bZXIxsEQ5xn9Xq9cPCD/45rN/i9RjY5Xpgyp5vkU39yHmpqoIOeKI2iDKw+lW71/Ft30LwOHGMU2kmtE4Gr4h0Hr+z7VquVdJoCR48AKyZx51OjTsQmDsi1vo7vnDV2EkoX6Snxw/mXW3wHLDhtwAeJe+46sDTsQADK69koNGa8hoqy2+0mA+oHGHBgML9OvUQ3njR4PgGoyIFbCp2TrNfr4fnz53j+/DlevHiBZ8+eYXNzM216DiCVW70gBdoRszMPMH2qCel5yio5sK/hEA5OnyRra2spvWNpaSkpKwIKvZ/nO7H/yAwMBgMcHx/j6OgIh4eHODo6SrlZCpR0hbsqUDXSOeCmOULaf8yH1XCXeo9R0nkOaDwFM8DnRvOTQnaDfR+NRWUPuJ8q/9dIh4aW2WbMo2JZ1BhrtIMATZUef+P1cRaj3W5ja2sLL168wGeffZbmZ7fbveNY6v6wBAgaTtaV1GVe/1OxOwDu6LNZz8sxlv6uIWqdd/oM/s220++YBzmZ3OSzTyaTwrZ38wD/XBvmbArnkII7lpMrqskaKlBT55PzVW2IL2RaJHiNdIK2FwGLMqTMZXTgSJ3K67l3repP3yVnOBwW5hnvozmK/J5607cZVLZWIxuuv3VNBB1/Mq4EMRwvCnwI3tS+eL6rt1k0bhYp7mCwPNpHxDXRtbwH24j1VPaVuERZZxIDtGfqrHi0hHhEU60ApPt4CiRZ8Fkr/9V2qqOrBIM+i+lkuiCaiwvVXkY6izJP3z4KeM0BR1V8VHg0XOw4MmxsGDYkk+mpcHTlerPZTPv7cUFHlHPBcqg36wpdc4ja7TY2Nzfx7NkzvHjxAi9evMDOzk4CrmR1WGY9MxpAGgi6p52HJf358zIpjy0RVe+AxhUuryEojLyu1dXVQsoHlbEyd6y3TgRlfbgY7/j4OOW3Hh0dJYWsClOVq4ZBNRzo4MjZJo0QMHWl2+1ia2sLz549w9bWVuE8aHekvJ3cSAH5s6EfWxww828vS05Z8J0AQO/J/GKNOrAfef3Gxkb6vW6m3mg0cHp6mpgyOn2+T6WyTuqock6xXzg/nz9/jq2trbRHs44jzQtTAOyrXnP52Pq3g7NFAR46fspk5RhqLZtL5Ag4gPXf6QIxzXmkXuZ2SAwv01nNtaGXcRZozTExWm7qEeqIjY2NtLDPWT89vthTfSKn87Elp0tV6EhqOpZGAWlbOK41dE0ihfdURnUwGBRSqghGNX3H5x7LExFCBMUaAeW8V2dhdXU1gdbNzU1sbm4W9lymvtDxrc/WXNcy5yIaO4u0m5qbrylOaku0LBHeAIpHFWtqFPuBzDbbilFg9rcvQFXCh32krDttmus9/dtBJRDn9FL0mZquwPLqehiNVvoi5xz2mLcfP3iZpTKvnueqRogV89xQdhjFGTCltblYo9PpFHYPoEGkB645cgAKk8HpfO1UboO1vb2NnZ0dbG9vY3NzExsbG4k11vxYzRMiG0mPU1fU6SDQPI8I5DyV6ECJDJ0rWk5IX6ihCzzIcGkiuBpeZeP9mcoa8OS0w8PDdAykHkqQY2qcsfHJoM/keNXvaKA7nU4aAxwH3W634EGqdxy12TwKd5HidZ/32doenIf+e84vKl0aW87ZXq+XIhmdTge9Xi8tDOHCS13cwdQN4Jbh0JQEgg+uFt/c3MT29jZ6vR663W7hMAJV5GocqcR1pwJl4VyRanuoU7Ro4YmB+kz2BetRxhbmnGHvV025Am51te7woQ4iHVMaJ+pvEhMOYL0OsxizyNB7PihFWR3uFsKxqAvyeJ2DV2XbF8m8an0i/aDtoQB9dXW1EEpXEEkAq2Ce12guq5I6mlep84P307FBBwBAck6n09vFXwz7OmhllI02tNfrJfCqh/koURGxrp46UWYf7wt2PkSY/uasq+KdKMLnoDbKFWcbsM+ZmgMgzSvanShU7ykjuthd57vv+sP3CLxG4oQP+1HtvO5qoGk67ohEfXrffnwQeI0MY8T0AHeNkeZnsAM4IQl02Uj8n3l3uqDr9PQ0JZvzRWZHQ/ksAxtR0xDUA9FVkdxOpdPpFI6YzOUUaRhH6XgOQG8TbcMyxmdRStXvr2WL3vXFfgJQUIQMYdHIqbL0EGUEDgiGuH0LD6HgwRIasva2iQzDLOOuoXOOTzJ7z549Sykjz58/T+CVK2V1oYcqqzLm6WPJvCCWysSBji8eoGiuFU9s0XwqzoVut4vt7e20gERfnLdMAwGKpwjpXoRc9MEUDh7nrHu+6o4iql9ocGhsPWfZ28eBRdQui5qbx8fHd+aajrN5n+vlViBM0Kl10ecR8Hg+uoJIHRscH2qUWYZo3ruOi3SLMlVu+HTxFh0hkgiM4ilw9Vz1KCS9CHHdGT3LmVeCCc0hVodC25310MVb3W432T6CJYJ2bi3ItuQzPaeR5QJuSQWKpouwDDrXt7a2sLW1lQ7y0f3QARSYX83HjfJ+o37JfbZoHcu9rflyYsZFiRq2pZJwGjpnP9OJ54Jn3sd3ZOHY0LQOBcPKiHpfRy/VMZHz62l9/gxPG+F488XqvOes+bYw5jWXO+jgQRWvLliK8m00f5ENQy+N92s0GgXwynwnLujp9/tpyw/mfGgeiXoD9MSjFz16zYnT0AlBq+eUaI4Vt9tiR0RhhUhyAHeR4s/IgWo3MsDtymjNkeJEUa9Sc2M8/MDJquEu9udgMEgMgoa6FYBSmMOsnvAs0EGgTdag1+vh2bNn2NnZSWFp5juTefXVkjQ+LvdlPBchrjByZSpT/g52eJ0zAPxeASK3r1KHj2CDziajJ7qbAMNqCl59D1f2G3C7gIzjiMyw59/qQhDNV1ZDE7WXt5nOgccWHrrieXEq9wWwDh7ZHg6qFCT7vpY0bOq06UvZKM8DLBt3fFfwEgFanfO+RkFP0qPe5djxMeOr2BfVj6xXGXiljVNQQ/LGQT91p+aNa/vU6zd7LvM6XXDZbrdxcnKSopUkA3ShVTRG2N+6sI2OCnMZmdOqiye5gFLTBYBbncFnujOlToWndJSN+afQsSSw+Dy11a4ndN5ROM7USaHu0TZndJGnnbFfNEpETOK2R5+rmMPnmb8ruAbuHterbCtxkNp23oeAlfrfc2lVr2rfOqE1r3wQeHXlxO99UGpuIA2dGgedmFzUo2wsFRvBpef2ELRyiySGkXSVsjI5CmAJOD0PTo0aJ7kyru7Z6uIAZYMi4DoPQ7do4Bp5QrOArBttZdM9/MNtrJgawpCkhsB0cRYPIaAT4seNRkZGJwHLFqWvuIIAbr1g3TXh2bNnePnyJV6+fJkY162trcI2O9FCrXkm3yL7M8dG6985AFsGXB3s6OfazhqavLi4KABFti+ZUaaGkHnVkC/1hS6oig67YLvz2eoMRyttHbR6yoe3Q9Qmsxi0xxJldHzMzxPi9nJHuscBCg0q56z+Vo2wkxK8VgGWPjNyGnM6hWOGtkHBi9dZyYh2u11YrMX0EaaXMdXH8+48LL0IiVLEtO76nUY4FLzSfpAc4Dxj+2pUgQe18G+NWHS73aRb6TBG241Ffa3zRiMhXMzKKCW3lOSBBCRxqPsduKq9mCfXNeqnpyIH1Hl35wxACPZ8vgFFxzGaawAKAFbtJBc/K5uqEpE6WjYVn19ux9xOK1mh73yupnnldorg+zz4Zx65N3iNjBgr4IrRwxsKbHWi6Ma9Cjp1QrPjmDvjbCl3CdDz6WkIPBRJxRclLbN+GhJXtpXAFbhdiKZbUESLFyJlpZK7Nvr/sWTe++YMCCcPF+K5oVLgrgpac530VJZ+v1/Ii+RCOHUSfHLxfwXJbkBVnEUie8NUAaYJvHz5Es+ePUv7+pK9ySW3556XM9iLkkgxeBldmc4CrrxHZOg5BjTKwTw54Ka9fVW/5ptzkaTucah56J6fyHKpAs1tEaP30wWf3nfqgOcYQm/PRQIeGvscA6XlUImIhJyhcOCocyhyEj38yXtzruUWrvAZaqgjZlXZKI1olJX9+voajUbjjrPCtQlcOOSHijhoXTTzqm2gn+k1mjqg7ajglX1AHce+VvvKOirIJDuq0Syyr5ofq1FQ4JYh5Jwlm6b75vLF3QR0VxYlgRQIORup/e6seFn/Aw9b5PNQUXAXvbQMzr5GpAHrx/xxZztp/zxMX2aDomiIl8cJH/29Oky+nsVBLMuqOlsJh5yNnAVc79OPDwav3hARBR41Jj+nh8lrNf9VlSCNHJ/NycTwpHqdNIS6WpL390kShQ9ZB11NzQnOvQRJk+sKaIIbzXON2D5KBGqeCuBEZbjPwFHlw77Q+/EaXVygRoqOC5k4Alfmt5KN09XOkWdYq9UKQJXPYDiFuVxk+jXMQsa12Wxia2sLOzs7iXHd2dlJYS/uLhAxfxpicSVWxrQsQpwxLFP6/v28jLHeW+fw6upqISJxfX2d+k9zT3W/XwAFY8v7a/hQQSsBq+8oovnUvvhEw8ua5+qpAmpkHPyxXLnXIqTVaqXyazg55yx5HVynaJ/lWNky8Mp5pnOMz40Ywsjp0XnnY8iBqzsrOePHvNBms1kIX66vr6c5T1JBGdf7hqQ/VOa9tzJUZI89/MuDWBTUULeR3KGzxoNX9ISmbrebgKsuctZdezQMrNETjVxqyoA69+4k0JYq4Na66nzXxUTOjJe1q9vYRYFYdyhyYz6yBzo/qauUPXUCSK+nU64neF5fXxdYWAp/o4tQc+3mwmd6aofnt9LmArjj2OR2FYj06mPIg8CrN3IEgFRxRQONxo//12q1wgpIZU8UME0mk0K+23Q6TZ3IfSkj9sFfWjYqBAWuGorkAjBeo3u5KitHQ6weFCUCsE9lECOZ91larsiwR+EB9bJ1AHPgU0Ey/UMX7+iRjwScOmH4jNxkcCYpKvvS0s1BGJubm9jZ2cE3v/lNfOMb38CLFy9SmoCzrRELqPXVMeoAYtF9G42zMhCbAzHRtfobfdfwPrd3WVpaSotn3FvnClqOA2Xz1MHhONIFK5pvrmk70e/5GRUrjbcyQayzgtYovSfXtovsT241pqL1cyeR73xpO+jYi5wW/9/BK42rEgG8VttN+0pF76/jToGrOywK1KM2Vp1CI67Mve46oBE2v+9T9GUOgKu4w8s5QlDqzok6avw9dalGDhUccYHbxsZGYloJXpV59cN2CKx0UbNGO33fa9/9gGXV8eIkVrQKvox5ZVvd1wn/UNF6eL9EmMPxUNSHOv6Z8qHCMe7bY1FICOjzuN5E88fLnHItm7K8mtfKF6/VcaXjgwSPE3iz+uahfXdv8OpevP7vn5VR1+w0bURnUNRw8XueQ+/eGf+O8pmiAUTAqnkd3lnamarcPVVAk6l5f22HrxtwZRlyUjaYoj7WSaJAbmlpqZCrRTBK75ATT/OJ1UnQsvr4yTE9agRUEapCJOv67NkzfPbZZwm8Pn/+PG12H61K9zEVKS83irMYhMcQdyC1zSLJfTcP+NB5TaDjp9+p98524N86Pzw87k4OxRd5Mq1It3lRBwq4DWdFuY6sa45BieZk5JAsQprNZvo7GtvOfGoYr8xI5YBr7m8FF8qcRexRrVa7Y8yjZyug4ov954uoHGBq+TiOaDw1jYuGnmNL56/O4QjIPrZE4Mrf/Tr+ryF11XkevtW55rmUrD9t1tXVVTpel/pW817VSVFgqcya56Nr/7Ff1HZGqWNqqzUSOitlJNe2LK9GHh5bqHOA8lQrxxsqPnfU2XYij7/n9bSjPNCJ99MoEu8VRa5c3IZ5XqtiI3VcNf1LUwWi3VuUxXf7yGv08/uC2Afv8xoNEld8swy9g1tVgPQm+TmNloIRz8uJ8mYonncT5c0pPc56sHy6+lcXZ2mHOfuQYxBUaXqYbh5P5THksSc5FaUzYnquPTdNZphLE7xdYfmgd0CTq496nLqnp27dwVzLra0tvHz5Et/4xjfw8uVLbG9vp63RtL81PKOKKWKbtOz6WqSRnOVs5Maf/jYHZnNlVqeFfaoeOh1OMgFR3hvnLduWEQ9P+QFuN2n3o2KVuXFwEhlG1isX/oucyqeakwBSTr+K68xcHdSYlY23HFh1wEijqv3n7J/nwUXzwsGYhopzuY4ReNW+0PsxfaxerxdWzutzy1jXRYPXnM7w9tffEeQ7ePWx6iTPZHK7NRzvxTmgYMi3ldNccf7OwWXEkEbzyseE10ftdm6h1qyxG4nai8cW2i6NanhZdZ5qOSL8w7ZSfUVHQ1/8fa1WS2ObulUJAdpHj2A4vvAy6VxWptz1jUdHnNzxccDy0KnQepcB1fuA2A8+pMAfmgNmagj4P999MQ4Hum+jpasU2TGaxxrlzfCZzrDyfrnTuTSfQ+/rW0Go5+MG0NvH/4+8kIgFWoR4X+igioxbri7q7TLMpMCBOVX0GNUbZCj49PQ0rRqeTqcJ8Kjzos6Mthf/1rJxTOnWZ8qUc9EBT9DiQQS9Xq+QSxQx+OrlRv3kyudjg1d+7wAg+n8WSPPxogCBXjj7am1trZCTrAsgdVss3RaPO4jwtCReoyyC9q8uxIr6zSMxLIsCAQVmrFvOMKksqi/VkXPHXh1D12m5tAeXeeY221rzxlU3abvlmEAH1OwL3xh91ur/snZmGXkSHO+v7aF9qb9b5HzU5zhw1X7U+eQ6RoF3Ts+pvaJuJNulbRpFjchY+xzwZ0Rkkeu1yL56nrSvN3Eg64At1576/pQSbU+m9oySA6rehw7m9L6eNsF+4JaCtJ0UH+tR7jjvw+ezv30/dl7H+xBUR68olU7HEfV6zlb7//ft1weBV/cqokL5hCwrLBuKn3Fgq8GjZ6jMqHrfyqQyv46dwAZ0BRuxrgqMaSQ9Gdk9DWcFfRK6AYw6SRWAD+xFSQ7AsjxlwNUVM/uagzoK1xGU8vPp9HYhDicOFwCRRdAQRhTi9bIpsOHCAm7lwsUFumKWB1JsbGykHFdn7bW+ZWyrK7anBK/eX7P+13Ln7uffq0LidzqHFURozpTOMTLxdFIYtRiPx2kLLR6Rynv6Fiy6Il9BbJTe4SDQGQcHfnp95GDm2uyxJDLkDnwiUJszErl57XpZhTpY76N/O+hx0OIGUeelMq1RqNjbNhq3OteoR3gwCr9zsB+B2EWLGvSyvioD01pHDS1zjvliGs4bzXukTXNAqzLLcY3qpCA8AsFsb2Vw3WmJgNo8z8/9vyjRHZD4nnNwNcw+SxzAupOg47xerxd2IYicDp23Oh/8ecRDOldZDs5JklF68MwstlWJkOiZ846xea67N3iNbuoF1YGoNLtPZi0sAawOdno7box0CyUdOOwsTiafaDlPU5U1gIJB1BSBKMStE1gVZATe/V0BkjNC83b0h4oDWK2LllWvV9Hvte66qI6/00UImuDP9l9fX0e/3y+sftXJ5cyrKzwdR3o8Kfcf1IVY0aKDnELV8RopJgVwEWBdJHBlmXLgpAwMREpCx6F+pkLmzwE7562OX/aZ7t5Bx4S/I5NA8MoTt6g8PewE3E1H0PmnLK2W3wGEs67eDjlZZF/mwob+/MgglemNHAiM7u/PiJ7nYIkvNZjq6Gg0xtMEZjFuUdkU1Km+d7uigCCaj4ucm677IwDrZY36FSiCWP6vega4u3CPY1xBZMR4RuLRpZxz5PXS+qhOiJyWiBHOtWP0ruXwzx9bGCFShzvn3Gp5opdez3p7PRg5BG77fnV1tbAVqBM7FNcbfn/HGVpWxT66HamDV20Hd6ojexjhIK2vvueIFpcPShuIvPJch7nCiLxP9TR8YjI06avu+L16C5Hh8r91QkcdqHkdvg+sDjg1nJTcQI2udQDr1z41gPX/y5TKLCGI5MBm3hWNn6ZicDWsHvGrJ5lpyoiXXccVlSUX1ekG2mRfdfsrzePRfo1AXtnzo3EbKapFiHvv+reWMwdScveLQCPbGCguGHBFqWycb/eiW87x98rKagiLBljDo9E2eGqIp9Pbzdu1Tu7EqvL2/sl9HhnQxxTVedFY04iSjr3IMPjcyMks4MDnUdRQRddHgFQdHA8V5+aJGveonbQsdJA0dzMXAfkYovOojH2laBtEc8/rwet8sbOv3/A1IlGb5ICOl9kd3KjNPVfyPmkCWs9Fz7tZwkWA0XoaII5A69zJAdgy0V0IiH+4u4vuZR8t2mS/sUw+x6h3mbLJcvrWV/qK9srmc3ScqcM6y0FRe3VfnPEozCsLoe/6edRhkbfhSpgTdWlp6c7kifKGeK1OfJ14zOHS8IsqVVWukbJlx2in5bxnNyyRsdTf5Nr6KcAry/EQADtrItJjJCuj/acThOF97vPK3Ec9/cUXFOScI4Ji7m/IU2Y0NcAPk9B+um+7zQNcFylubKI5WFaGaG4qM6njUCMpboz1UA/ui+yHB5RFFuh08Bm+IGcymRT2OlSlC9xuo+dGkvWLjHA0nrwtXccs0oBqGXwsevjb80W9jF6n+4xDv9Yda0278sVaOWZxXiM+y9HT32rfa04120ejeWWOwSLEx5j+H9kPr2NUTnX4OD/ceY2cNHX2mGvOtvEy6/P52TxkijtLbkMdrM7Stz6WvV1yY3QR4nncAEJd4u3pczYa12VzgdEn9tv6+nrhWF/fGSnKPY+wlpdNUzu4qFnX9kRriRSo8n46pqMo0rwyT18+GLyWdULOk1ZmRL23SMm5t+kDIFIM+kxXpBFN7l6oelWuaHyi5QxfmdHweyjw8f8f6o18iMwDYKPyzDJCHPR0GtQA6n653W63AFwj8Kr3jZQCJ4oyurofrx7f646Fli0CKjnHbBa7E43Rx5QPuW/UdzreffELfzOdFo9J5DYuBK4Ra85+AVAIZ9ZqtbTpvIJSdxp9sSWPomW5rq6uCvlY0arbSInz7/uA00UBWDfmPs7d0Y4YIDem0fhwQxuBJf1b54cfGOFG0o16rp3vI5Gzr/3K8cHysH14nbahyyKdkZw4gL0PUREBBF0z4gf+8G/+hocbRI4dxfWq2zu+68vtWASAdRGuPj93z1nOThkOeEzxdogcNdctkX3I2ZCofqoHCSK5r7Hmq+orArWOe4DiCWrEPbow3TGRg1YtX+QUuj6dNcdyeqdMHoV5zRVSwZp3Zs5ToThg1Ub2EFYEMvmKkpojb8OPh43YhdzijtwALDOGkZHRttH3p5R5AKx+p+9AzKhrfoz3k55Upnt56p6ebiD1uTk2x7d48fQPN3o6RhSoR8rVx9G8rOtTOiKR+PNZl1kA1p024HZ1M/tG9+rV7dH4W1XAvKe3lRo/bU8+h+NDU0iYS0ujfXl5mV3R7kx7NJ7L+u8pZDQa3QmraltEO2EAxUVUDu5yOinqex37FL1On6P60QFEZDD5XXTvMlsQSWRzdMz6PI3awP9etETghI5fLpUlV0atK3AbouX14/H4DqhQx1DHiT/bQZe3l7anM6ocGxot5YJcd1hVf+fGO21gBJC8fRY5V1V/5DCG24tZIDz6LALhzlz6s8vAq0Y7FWzS4fF8ZAesZcCadfD3suuj3/p1ZREJlQ8Gr6oovRM4QehluXGKOkqVJ69XoKkegAMhfdfFBN4YGs7wjtPy60BVj1EVxjzg0gdpmaJ2AHvfMPZjiE+kCMDmBp6+8/oIELB+upKWeaq6fZlvmKyiis+f5X0cMXFajgjAsqzRBOV7FBpxALBoAFRmjHPgOerHnOLx7zm/qCQJKp2JA4p6Ibqvt2XEKjo41oMs2I+6OwUBLI/IdEZW+1/bpWys6nWL7M/BYFBwqJlyo8bEDbk7Gpwn6iD4S3VoGYDzuqqOjZ6tv/F7+7U5JvS+4nNedbKW0X+zaMk9V5/tjkBZak1unntf+Jx3Vhy4dT7VvjmjW6vVCgBGP2d7K8utC+hYN+aKuo7mvXJ6Wse6/k5tcgRaF9Wv3IUmB2DL+jrSfTlAy/rkwCGAAhnk48cXOOcIN29zx1c5IiYaX16nXPQx0puuxzw1o0weBF5d6UWd4A2mQCFSoLlnAfHKSq24/s0J5Yqa4mBD2RgqVH2216sMlESdq+VypV420XTSfiyJQGtUpmgwzzKKOnYUyNJwR7k7UYqJjiNtU/9OAZGPU1XE0XP0fl72spDQU4GeSMHNUoazHKhZgIcg0U/o0d/n5lrO6OTAKxU0c6T9+FnWj/3HvqQi98MzfHFXVA5tO2fkveyPKYeHh1hbW0Oz2UzzgiFhlk+fr+8OJnOOddlcnkdyhjdnoPS7eYDZPOK/1zGmoN3Bm9fjqSQHUjTdwVmzKGLo94p0DudBBGSUhHHgGoFX16368giBhqJ1Hkd6KQJQdNYmk9sj4NVWuh0HyhcPPqboAQJ8rredSq5/ct9FRMI84oQgtxjV/syVTftNbZjasjJ7kQOx8+CbSHQ8OlEVyQedsBUZNhaC7w5y/bdlCs+fpx2Re1aZYnSgocbY9yQEivlnszojZ0Ryir5sIOSueUxZtLeaA0+5a2molY1VL6xsIrpD5M/3cafPdEDlhtj7Xf+PvFP97VOCVy/jrGd7mfmbCHjqtewLbm3FnSH0cI+I5fYyeqRE6xGx2cDtXrLMz1IAqwxDZLz5e5YragMtg+oAj94sqh8B4O3bt2g2mylfWMs5mUyyzIj3v/dfpH/K5r2OB/98FniKHKUIuEZjMte2biuiORmNGX2+j7OPJfp8jtfxeFxwBKN0Kf1trl91TvG3misehbujhT25Pnbbqe85IBTVXYEr07o8zcidNrcp0eeLEu5hreNY21XL4zaFv5u3nNF1/vto7qjD4Hgk94xIJ0RANCqbYzK/dl4QrPXR+TBL7g1eo0kTGafc/9GEyCkzr5yDlzLQkPPMXaGXTdgIgCqD+pB66LURmFJ5qok578QqMy56Te4Z84jWWUMjDmYjoKVjsawMkcfofTwrbDFrAs5SHo8pDtjZNrky5JSRfuZMlhpEGloCV923VUNQBK/8nYe3IlbdjUAU0qJx0O3xotCr7krAdtKQJMeX193/1/a8zxx/iHz11Vdp8aKCmEajcWdrN90xw1/eB67r5iUM9F0/9/miDLg+w/Vb1H6uB/3585Q3Nx+j50SAbxEyS59Tp2nqjS5Y1dxxZaLKnBKf83xpKkkuX3OeUK0zfTks4PXVdx2bjKY0Go2CDtH83Fm2KTdOH1OoxzzPVHVXFFXO4YOc8+aSsyll5czdL/pdjuTIOa5+X8dlPt+j/oucWwXCegx4mdwbvOaUZQRWfaBHoXoWvswj1+vKvIKIqePzvQx+33nBm9YrCsvlBph2sj4vZxgXDXhy5f6Q3z4EuLpxcWdBP+f1bogpUfqAio8xzwXT93nr4E6OXntfsPBQySkVLUNUvrL7cZ5S1MgyXYD7DNLo6OpV9sVkcrszAJla3UZLQaz+zfvpYjs96Y6HSkSgFkDKidVUBt+nmQeO8PuncBRnyVdffYV2u53aaTQaYWNjA61W686+iwrA1bAquCfgZV/kmLZZUja3o3nlv2P75p7pY7esLyJQxLoRVPg1Edh6SskBE00bOD8/x9nZWXrpdoEaSnVWc966uH2JmHDtO7e1UX1mlcOv464zvsaB4I+f55xtrUf0nEWJjy9N8VDgNisq4uV33RzJLDsSOQhlfaH3nfd/f4aWx8dmWRnK7ufOwSy5N3jVkFsOYKhS5f/zMJ+69Y7+tgw4UHIep5c1Sm9wcOsN6tcoyCpj+vQemsvhXpoDi6cGrh8iZc7EPN/P6zTofZx91eu8f/w+asDdiJc5Tblx6Pl1Ud0X3Z/3MV683p0Bvw/bksqJqQIEobpoiiBQFz2qEjo/P8fp6SmOj49xcnKCfr+P4XBY2Ghbc/7odXMnCp7ywuN9eXLaxsYG2u021tfXEzB1w0yDo0aW9Z5MJncWger3kRMS/f+Y8vbt28Jex8PhMNWz2Wyi1WqlvYu1fKwbWWj+zb6J9FrZuJ4l3sbu/PFvjVRFEY3IyJUBZTfQWicFFTp++Wxvh9y8fWzJOeVAcYsvzq1+v4/T01Ocnp6mbef08AXeU9/ZBvrMCKx7faMxriyt2q5IonnD3+o16ozqyZWabsTt8hwMOlZwcsrbehFCx9r1lKYb5jCOijsK85ZXx5CPgYdIru1mAWmXHK5hilPZ/WY5dLPkwcyrPzwCEjr4orxEXlemSMs8rFnGJiqT/46i+Tr8Xhd+KWPr91YFMatDNGE+KpMbxkV7lPeReZR82TX3GcS8l/exgs9cH9BolpUxtxqzTOlomR7K3i9ConkYAdUPuScZB83Jo7LSrVUApHYlm9Tv93F4eIiDgwPs7+/j6OgIp6enhYVeNN56b27KTdDKwyZ6vR62trawvb2Nzc1NdLtdtFqtO8dLq5EgIPYUlLW1tbCdIsfjKZzK4+PjwulyZ2dn6WQ4tgHZOLZZvV4vGB4u+CLIbTabhWvmzd+N9Ke3hwNY/Ry4BTEarcrpyohUyJWT16qxpLN0eXlZGAN6XW5+L1pyNoK6iHNrOBzi7OwM/X4fJycnGAwGyVmcJ5SqfeZgCri7BWVkQ+nwqc2KFiZFRJCOAYpGRvRQGj1MYn19PQtcvXwR2VBmfx9DdOcbBa6alx7l/ObaOPeKHAEHlbPqOAtDRTLr3l4PdybUsWL0x+duDnTn2meWPAi8zhIFe/MojFwn87voen2PWBEHs/5bv496h/yNKxwNOc6qvz7XQZeDK1/9rLIog1nWvpGhiMoxb9nKJts8yiYymO7puQIoA5O8TpUyy6L97tereB8+xGtdhMzy0KM55r/X75QZ0vw7PoO5l5xDvJbM4enpKY6OjvDu3Tu8ffsW7969w8HBAQaDwR3m1cErjR3ZVjKuvV4PJycnib1lmQjSCKhduapR1rZxAx/pjqdyKEejUQE4aC5kq9VKecaj0QhnZ2dYX19PhoL9Uq/X0Ww2sbGxgW63m06W072sZ4XQc2DRneyy9IPc+JoVWs0B5kgn6z18Pjs7Fzm6i5TISPuzFSxq6gAjFaenpzg7O7uT+5qzffoctrH2ueaQ5xh5zkc9jCJKN8npEh0PWhYeGtNsNpP+XFtbS8BQ9XCurdSWRrp6keBV20X1iOMHB7DeRqwDf5ezozkdXib6jPuAVv/fbf4swKlzTSNgs2xi9Jx56/qgBVu5CaMPd/A6S/z3Zdf431qWnGcWeWr6d5kSd2VQBjD9HlqWXE4uDfVTKFSXMiVU9tm88pD6uMfJz9xgKqujIUo3dn7vKMypY2AWkNF7zaM453F4PkRy/TfPc6Ox66DPF1cBd/dertVqCWwNh0OcnJzg+PgYx8fHODg4wJs3b/Du3Tvs7+8XgKcufnBmicZcgdpgMCiEU8/Pz5NB2dzcRLvdLuR5qjEmSGCdtQ7K0mm7LLLfImG7X15epjHIdmUOLMFNo9FIjoMeplKr1VKaBVnqXq+XGFw/InlW6hPFx1MZwPUUgRzonEfn5UCw6uTcWoqojGWG+DHF78s2icArxyjzyYfDIYbDIQaDAc7OzlLqgKddlD1Xt61inulkcns8Ot85zlQn+v7NDth8frijoH8TNNfr9TT/6JgSFOaAt4P0nH2P2vsxRfeRdgd+HvCqZeUYmBdgAvORTPN+N+sZkUOZu97tcq1WPJ6YNpntNAuM61yeJQ/aKitqeFdGDwnPPHTwzRoEPqk874nvCoj0b78uunfUKew0f77nWaox/Rhhraicj3lvl6iNoutz7cf3slduskc5rjpm/SQmnZD8TWTso/FR5tQ8pkQKcp7nalv6nCDo042v2Ra6Wp8MDsHTaDTCyckJDg8Psb+/nxjX/f19HB4eplDo+fl5YauZMtFjZvWULTWsCqq5UIlggWXT1cG1Wi0dBKCM0ixHbp52/RDRg1IIIKbTaeGQhsFggKOjowRcCXaZTgAgsa+bm5vY2dnBy5cv8eLFCzx//hxbW1vodDqpHjmjNcvQqOg16kzy3QmNh+q4yOYoc65RLF7v897rvSgHxeeTzrN5ACxznj3CEN0/AsoKXPmZptbwO4028hkcV5yjyjhqm2r5c225vLxcyEVmOhABYS7HVV8RcfBU+hUo5nYqyNeUCF886lFBllvLnwPisyR3PZ8X4ZSyNpplJ+ZxMJUYcjs7Cz/xu4WD18j48z03OaOCu+SU2od4WD5Y/Fl+v9yg8nJp3RzolpU96mCKrtJetGKNJAdgHxvY+njIgWdX/vpZ9Le/oudGIFcnTG5rIS13mePm9XuK/it7Tm6uzFJIHKfK6CnoowGkZ00ANRwOcXp6isPDQ7x58ya9Dg8P0e/3E2Pq21jNEj2vXXc9IHjlgg8uamIfcucC3oP1WF5eLhx28JTzrEzW1tYKY5KAQg+FUHCm4WamFBAkNJtN9Ho9fPbZZ/i+7/s+nJ2dpXw0PVVwHuY1+n4WeGI7u124L4CdNb4dPKjhU3371H2swItgMAonA8XjyDkudYzzFQG2aAcgT4Xi32wrrurnvsksg84Z3kd1gYI44K5OjfpTU6yUxXX7qg7ILB2u/0efP7Y4IIucsgi4avtrG80DXOepz7xY6LGv8+sjDDXvnHOM5Xv85uTBhxSUGXD3fFXmBbD6+/v+Zh7wWwaUo4YvA01Kj/t9yiage5zRQF60R+nigPIpn+nPy4FTKgtVILnXPM9VlsJPdorGRxlo1uueSnLjvcwZ8Wujz30LK6C4sFHD2gxtM2fv5OQER0dHODg4wOHhIY6OjjAcDgvnnPszHdiwDJrDqCwsv1tZWSmEyHWrLYI1rROAO3vN3qe/FumUcAEZnwPchmS5qEfzYc/PzwsvlaOjI3z55Zfo9/u4vr7G6uoq2u12yoPl3pqPIe5oKmBRZjSaLx+iZ9z55CuKmDyU5fpQUT2jaQPevwqQdO6RtXSWUoFqjqlyQMD0Aa761xQbnRueB05RuxWRMG7/+RvelyDYU5Duy8rn7Oui+jaK2AGxXSrL59ayf4iUtc9j2+157ahihxwB6OLtoI7ALLk3eP3tv/233/cnlXwN5cd//Mc/dhEqeST5nb/zd37sIoTy7NkzPHv27MmeR5b3U5Zf/at/9ULv/7M/+7P42Z/92YU+o5Ib2d3dfdDvarUaXr58iZcvXz5yicpleXkZzWYTzWbzyebteDzGd77zHXznO995kuc9VP74H//jH7sIlZjMXklVSSWVVFJJJZVUUkklXxOpfV1yvSqppJJKKqmkkkoqqWSWVMxrJZVUUkkllVRSSSWfjFTgtZJKKqmkkkoqqaSST0Yq8FpJJZVUUkkllVRSyScjFXitpJJKKqmkkkoqqeSTkQfv8/p1l93d3X8EwL8847LJ3t7e7A3FKvlosru7+w8D+N+///e37O3t/XH57gcB/HcA/DcB/CCAFwCOAPxHAP65vb29v/DExa1kDtnd3f11AP4JAH8LgG0ArwD8JwD+0N7e3n/4MctWyV3Z3d39/QD+KwB+CMAzACMAnwP4MwD+yN7e3oFc+70A/mcA/ssAvh/AJoADAD8H4E8A+Ff39vaK5wBX8tFld3f3F3DTX5G82dvbe9p9uyoplfvMyffXtwH8MwD+uwD+JgDnuNG5f3Bvb+/febqSP558NzOv/xmA/2Xm9e+/v+bPfpSSVTKXvDeEPw1gkLnkfwXgp3ADWv8dAH8QwF8G8OsA/Pu7u7v/+FOUs5L55b3S/bcA/G0A/hyAPwzgPwXwGwD85d3d3d/0EYtXSSy/HUALwL+Lm/761wBcAfhJAH/1/Tyl/ACA/yGAE9wY0j8I4N/EDTD6EwD+/O7u7nctafKJywlie/kHPmahKgll7jm5u7vbA/AfAvifA7gG8C8C+NcB/HIA//anaie/a5XI3t7ef4YbAHtHdnd3ye78b5+qPJXcT3Z3d2u4Yc4PAPxfAPyO4LI/B+D37+3t/b/ttz+Km0n9z+7u7v6f9/b2Xi26vJXMlt3d3Ze46cc3AP6Le3t7b+W7vwc3TuXvAfCvfpwSVpKRzt7e3rl/uLu7+/sA/E7cMK3ckf+vANjc29ub2LV1AH8ewK/BTbTk/7TIAlfyIDne29v7yY9diErmkvvMyZ8E8Lfixo7+9/f29q7eX7sD4D8G8Ad2d3f/7N7e3n/+FAV/LPluZl5D2d3d/VsB/B0AvgTwb3/k4lSSl38cwN8L4DcDOIsu2Nvb+1ccuL7//D8A8BcBrAL4VQssYyX3k+/Hjc75fypwBYD3KR6nAHY+RsEqyUtkJN8LAegPyrWXDlzffz7GDRNbuL6SSiq5v9xnTuLGWQSA30Xg+v4e73ATGakD+B8/eiEXLN+1zGuJ/GPv3/+lvb29649akkpC2d3d/WHcpAP84b29vb+0u7v79z7gNsyruyq9qpKnlP8cwCWAX7m7u/tsb29vn1/s7u7+3QA2cAtwKvn6y3/7/ftfnXXh7u7uMoBfO+/1lXwUWXuftvN9uCEM/iqAv1TZyU9KojnJfOW/EVzPz/7rCyvRguQXFXjd3d1tAPhNACYAqsOKv4byPh/uTwL4Nm7CHw+5x/fjZjIOAfylxytdJR8ie3t7h7u7u/8MgD8E4Gd2d3f/DG7SQn4AwK/HTarHP5a/QyUfU3Z3d38HgDaALm4Wi/xq3BjJnwqufQbgxwHUcMOm/30AfimAP4WbnOdKvn7yEje6V+Xnd3d3f/P7aFYlXzOZc07uA/gMNwu1fsZu8Uvev//Niy3p48svtrSB/x6AHoA/u7e398VHLkslsfwuAD8C4B/Z29sb3ffHu7u7a7hJXl8D8JN7e3tHj1y+Sj5A9vb2/jnchLFWAPwWAD8B4DcC+ALAv+LpBJV8reR3APjdAH4bbozknwPw978PP7o8e3/t7wLwP8GNg/IHcDOvqzPJv37yL+PG4X+Jm4VAvxw3C3u+BeDP7u7u/oqPV7RKSmSeOUln8SffR0AAALu7u9sA/sn3/669J/c+GalNp7949Mju7u5fxk0O5K/f29v7Nz92eSopyu7u7q/EzYKPP7S3t/dPy+c/iZsJWtgqK/j9MoD/A27A0P8RwD9UGcqvl+zu7v7TAP7XAP55AH8EwGvceP3/GwB/P4B/Vvu+kq+f7O7uvsCNHv0p3KR6/IN7e3v/aebaZQDfBPBjuFmM9zMAft3e3t7hExW3kg+Q3d3dPwDgnwLwZ/b29n7sY5enkljK5uT7hbL/EW7WHPx/APzfADRxs8PLKW5Y2SaAtb29vcunL/3D5BcN87q7u/u34KZzv4ObbZUq+RqJpAv8LID/xQN+v4ybVeq/ETdJ67+pAq5fL9nd3f01AH4/gP/r3t7eP7m3t/c39vb2hu+V7I/hZhHlP7W7u/tLyu5TyceVvb29N3t7e/8GbpyNbdzuwxxde723t/ftvb29P4yblJC/AzcgtpJPQ/6F9+9/90ctRSWlUjYn9/b2XgP423FDGLRwswvBb8ANI/vfANAAcPIpAVfgF1fOa7VQ6+stbdxsuAwA57u7u9E1f2x3d/eP4WYh12/jh++B75/CDXD9UwD+R1Uffy3lH3z/fufwiL29veHu7u5/jBsQ+yOIFxdU8jWSvb29z3d3d38GwH/JF+BlhPtq/5rFlqySRxSm8bQ+aikqmUtyc/J9GsE/8f6V5P0WhTUA/68nL+wHyi8K8Lq7u7sO4B/GzUKtf+kjF6eSWC6Q75u/DTeA5v8B4P+Hmw2XAQC7u7uruGFafwNuvM3fHG3VU8nXQtbev+e2w+LnnxQD8ItcvvH+fR5n8Zvv36sdQD4d+Tvfv1fO5Kcj95mTv+X9+7+2oLIsTH5RgFfcMHKbAP6taqHW11PeL876R6Pv3ue8/giA/50dD7uGm42Xfy1ugO9vrYDr11r+77hZgf5bd3d3/8W9vb0v+cXu7u4/AODvws2xhX/lI5WvEpPd3d2/GTeb17+2z5dwc8LdcwB/hQsjd3d3/6sA/tre3t7Qrm/j5iQgoNpf+2slu7u7/wUArzwP+f2uLX/k/b/VwSFfE3nAnFwC0Nzb2xvY9f8ogH8IN4c5VeD1ayq/9f17daLWd5f8C7gBrvu4yZf8XUG6wV/c29v7i09crkpi+dcB/Hu4ybP6/+7u7v4buFmw9cO4SSmoAfgJP5e7ko8q/y3cnFT3lwD8HG62NnsB4Edxs83Oa9yyN8DNyT6/Znd39z/AzXZ3QwDfC+AfwM1OL38FN4vzKvn6yG8E8BO7u7t/AcDP42YRzw/g5pjtddysEamOiP36yH3nZBPAm93d3X8XwF9//9l/DcCvfP/7H3t/iMgnJd/14PX9hve/GtVCre9G+Zvevz/DzZY8OfmLiy9KJbNkb29vsru7+2sB/E8B/A9wk9/aBHCIm7n5z+/t7f35j1jESu7Kv4cbp//vAvArcANAz3CzsPJP4qbPlLH7Y++//9txk9vaBHAE4D/BTXrPn9BTfir5WshfAPDLcBPd+jtxk996jJs0rT8J4E9Wi1+/VnLfOXkB4E/jBgf9fe8/+znc7ODzh5yR/VTkF9VWWZVUUkkllVRSSSWVfNryi2arrEoqqaSSSiqppJJKPn2pwGsllVRSSSWVVFJJJZ+MVOC1kkoqqaSSSiqppJJPRirwWkkllVRSSSWVVFLJJyMVeK2kkkoqqaSSSiqp5JORCrxWUkkllVRSSSWVVPLJSAVeK6mkkkoqqaSSSir5ZKQCr5VUUkkllVRSSSWVfDJSgddKKqmkkkoqqaSSSj4ZqcBrJZVUUkkllVRSSSWfjFTgtZJKKqmkkkoqqaSST0Yq8FpJJZVUUkkllVRSyScjFXitpJJKKqmkkkoqqeSTkQq8VlJJJZVUUkkllVTyyUgFXiuppJJKKqmkkkoq+WSkAq+VVFJJJZVUUkkllXwyUoHXSiqppJJKKqmkkko+GanAayWVVFJJJZVUUkkln4xU4LWSSiqppJJKKqmkkk9GKvBaSSWVVFJJJZVUUsknIxV4raSSSiqppJJKKqnkk5EKvFZSSSWVVFJJJZVU8snIyrwX7u7uThdZkEpmy97eXu1D71H149dDqr787pGqL797pOrL7x6p+vK7Q3L9WDGvlVRSSSWVVFJJJZV8MjI380r5sR/7MYzHY1xdXWE6naJer6PVaqHX62F7extbW1toNpvp+tFohOPjYxwcHOD4+Binp6e4uLjA9fU1lpaWsLKygtXVVdTrdSwvL2N5eRkrKyt3XvxuaWmp8Df/r9VqWFpaQq1Wu/N3rXYD3P099/es6/z/6XR656XfTSYTTCaT9Dl/O51OcXl5icFggMPDQ7x79w5v3rzB27dvcXh4iJOTE5ydnWF9ff2+3TRTftWv+lUzr2E7r66uYm1tDevr61hfX8fq6ipWVlZQq9VwfX2Ny8tLXFxcYDQa4fz8HJeXl2mMTCaTVGf2C+X6+hrj8bgwnngdxwP7mL/1vtf21P6u1WqYTqe4vr7GZDLB9fV1+pt9xM+vrq7Sd9pX2pd855hdW1tDs9lEu91Gu93GxsYGms0m1tfXsbKyksrG+/H+P/3TP/14nfhe/ugf/aOFZ2hd2S7edmwfry/rqC8dr9H13geR6LVaJr+/t7uOGb3O76vv/qxceVgPnZtRnXLyEz/xEzOfc1/50R/90cIYpj6s1+vpxXZj/2odfMxG7al6tVarYTKZ4OrqChcXF7i4uEj3Yt/ouKG+Xl9fR6PRwPr6OtbW1pIOBlCYV+PxOOmEy8tLTCYTLC0toV6vY3V1Faurq1heXi787vr6OrWHjo/r6+s7Y5D1qdfrWFtbS7qJY0bneqSf2Sa/7/f9vkfvy9/2234bRqMRTk9PcXx8jMPDQ7x9+xZv377FwcEBRqMRJpNJ6lcAGA6HePv2LV69eoXXr1+j3+8X5rGXvdvt4lvf+hZ++Id/GL/8l/9y/PAP/zB+yS/5JXj58iW2trbSfSmXl5cYDoc4OzvDaDRK/cI2p773/uVYubq6KtTp3bt3ePv2bbJb+/v7ODg4wMnJCU5PT5O9r9VqaLVa2NnZwbe+9S38wA/8AL71rW/hs88+Q7fbTeNA7YTafuovfsb/3c7XajX8+I//+KP35a//9b8ea2trqS3YlmdnZxgMBhgOh7i8vEy2i/YLQJoLFK2T62HaQtrU8/NzjMdjXF9fo1arJTvMvllfX09zSecU7XS9XketVsN4PMZgMMDx8TGOjo5wcnKSxt/y8nKqG+ePlpvPVz3JsrKMo9EIV1dXuLq6SnOSemM8HuPk5ASvXr3C559/jlevXuHs7AyNRgPf/OY38UM/9EP4wR/8Qbx8+RLtdhuTyQTD4RA/8zM/U9on9wavVG4ACsBmbW0tKVYVdmaz2cT19XWqzGQySYqRDcbK6iDl3zpYHcBEA5jPjiQHNt2IuXHLfVZmQCNApOWgch8MBjg/Py8MpkajkZ712KKTiRIpDp0QOqhpaHQAK3BV8MR7Ly0tJYOjwDICG94/7izou7cP78+2I4hW46cKw4Gr95U7HTSwnKwKgOmUeT10XC5KfA6wvVVmAZwISOpvtR1mSfRbLWsZ0Jw1h/0+atjdyPs9vB5lTmquPouSyFHjPFSAyGsj3cBrcuNQAaF/T53EuaJgV4FhBCy03R388hotH4BkB/i3tzHBrpZT57LWeWVlJatPXHI6+TGlVqthdXUVGxsbWFlZSaCj3W6j1+uh3+9jNBolezgajRKwJCDS/o3KqbYvsk0u2n7j8bjgVKh+U0eCdpu/V7vdbrfTeCGRcXZ2huPj42QTJpMJ1tbWEsm1tbWFzc1NbGxsYH19vQDydMzl9JeCebaB/r8Iubq6ugOWASSnicCS5eF88P5Twk3rwxdwg6sIOpeXl5Nt4e8UQKujx2evrq4W5h0/r9fraDQauLi4SDaR4+309DT9pl6vF+Y2JdIZWm5eQ72l9xmPx+h0Otja2sL19TUGgwHW19exubmJdrud5kaj0UjzZpbcG7wOh8NUMCJ8Mk5s8KgxW60WlpeX0Ww2CyybKmhV2PpyJkgH0UPEB4y/dPIqKPH/nVH1+0+n01TXHCgiuKKnRU+cwHVlZQXHx8cPqmeZXF5eFv5X0AogGSv1xjjh6I1dXl4mttWBq4oy4+5tOhvKsjioonKlMYvaURWbg1PvM1f0+s7yO2gGbplXjt2Liwusr68nIEvP04EG67UIcdDKtnZgo21JyTlVEcs5Tx0iwJoDrtF3/ox5QH/ESOl9Zv3ex9MsWSSIdYbJo06u99jPDt5VXwJ3HTzXoQogObfp4BJ4sZ2i8um85n18PFJ/8Hl0YFUiMO4AwOeptkOkYyNA7M7nIuTq6gpLS0toNptoNpvodrvY3NzE9vY2Dg8PcXR0hKOjI/T7fZycnGAwGGA0GiXw6jrahbrIo1mzSAEFrmT2XL+63VOnnOCSEUF1rsbjMfr9PgAkYoOAq9vt4vnz53j+/Dm2trbQbrdRr9dDh0kBmPdlNEaUGFmEcC5wPLPdV1dXC+2lbc5x5oSaOnrsq/F4nH5HILy2tpbanvdV/AOg0D+cmwqSeR2djWazmcYG2dh+v58YcgBYXV1Fo9FIuI7EJOuca2NtFyW+2C+cc/V6HaPRCCsrK9je3kan00Gj0SjgjXnk3uB1NBqlCtGbajabaDQaiXlVJkQ9AXaGs1EOTqOwpTO6DxWfkMqcuVLji1Q+31XpOcMIlAMn94ydLZ5Ob1Ix6JGurq4+CXjlgFOmhyEKD4EQtNJrGw6HhfAG78eJRsXn/egMKH/HSe1GOjJIDoLdCdF+0r9z7KMbRX0+y8+xwrGtaRKqrNxrfQrmVZ/lAFSdAEoZaMuxl7y3tptfH30XMZz6+bxgP8ekRte44SgDnsriung9FgVgOQc1TcCBZq6++tLwqjqLDnAp7lgS3FxfXycDTYaJOiIK22pZ9G9nZ51NjcT7QueozlOCLtUB/NzHIb9nmgR1+SJkOBwmG8l0oqurK3S7XXQ6HbRarWQbGVr3tIky0f7yFCwHUioKXi8uLhLzSh3Pcno6lfbpysoKms1mAQOsrKxgNBrh3bt3CbSQgGm329ja2sKLFy/w/Plz9Hq9BH4vLi5S2Xm96leVKMrG9/s4oPcVgku1m5yfLKPaD+0Plo/zQB1FJ8HIkGqkJQLsyp7z90tLS4U5QR0AFO0xAS6Z/dPTU3z11Vc4PT3F1dUV1tfX0el00O120e120W63U5oCCcpIR7JuJL4ISAGkctRqNayvr2M0GqFWqyXWVXWvtmmZ3Bu8jsfjlJ/CvL9Wq4VGo3En94kVInMXsTKsEN/9dR9xEBKFgj3k668oHFx2bY7Ni8CrMrocjOxoeh3qxdJLWYRQUQC3wFX/9hwyVaz02M/OztDv9zEcDlPOCycgDafm6DlIccOiCoj111BjjknQdnawGjkh2g9eHuA2fOXOBetQr9cTw8p2uri4KKTOKBhfNHD1uZSbP95+ruwdKLiU1UMZb3/pPXOAvuzeZaBtFhiN2oJgp+xZZbJIhocMh4NXNXjuLHC8KcviqQbUfdonGlLkvQnqlCV11idiXXmd6j//nT5L55P3jYK3iHV1iZzPnCOlRp8Rr0WB16OjI2xsbCQSgm3HOp6fn2M4HOL09DTlLzKPvtvtAgDOz8+zJAl1MfUx9bATCZGwr6kXFQBFrKuPL/YZ+5DrXE5OTtDtdhNwWV9fR7vdxubmZoF1bTabqNVqGI1G6cWc0fX1dUynU6ytrRV0sDogQOycLEp0jHDsajqN57eyLu4scr5Mp9MQR9B+0K7QLvsY5jx18MvnUHfw97wHc2Gvr69xcnKCpaUlXFxcoN/v4927d7i8vMTa2lohncXHnt6TQh2kwJWEJgGt/n40GuH6+jo5KkydpE5ZCHhV74CTTZlXFVVMEXMahSzLjGCkHHMANQKv2hE5gBOxpDkgrOyesrJqJPxZHBDajupl6gCfTCZzU+j3FfcI2UdK93MguXevyeS6UIsTnJ6dAuJ5gBFBrgJY/97LrMDG+0ENFF/KokcslPadf89JSMXCPltfXy+wHisrK3fCbIsGr/Mq8QhQsoy56/X7CBCrUSkDrwSNDmBz42MesKrX5uoesa+5tIpcW7ihXJSx5LzTHFPPN/SQsLenMrecg8rMaD35UkCiRpAOJB1ZzX9X3RDpOzWonj/nDi1/T8DFcqo90Hd3uNkubmwj2+GO7KLSBl6/fo2zs7PELDJ1bjwepwU+1BNra2vY2NjA9fU16vU62u12IgZUx/J3rJuSCFwgxd/k1jWoqI0D7qYd+FhnW2teY612E1W9vLxMrDKZu5WVFXS7Xbx48QIvXrzA9vY2Wq1WAq6np6cpZWI8HqNer6cc4VardWeeKQOs0TjWZVHiEbXl5eVUFs5VOiW0LTq2dMEjdY86wWxzdfJ0ITvrp86X11ltty4uUzs0nd5EdsfjcXIwarVaAsPMUVYMoM8mAPa2Zx01t7vRaBTy0GkrWVfOi36/nxwwfjZPX94bvEbMHBmnWeLgc56XAlH+nWNJ/broWcCtkfX7RYyBhot14CoTwrALvV1XGh4m4PealK1MBgeUAsDHFuZjsS7K1vik0RAIVyQTDLqXzvoqeMs5IbxWgat7pyyDAlltU7+/Tm6CbJZXVz17rhvLoONGhf1P402vkayrpw5ortZDIwnzSln76jUPua+zYvruTqcaPGcItZ95TcSMRmC0rOzRdTk219vf2fyya3Nt8djC6JWym8qMUnx8qtFT5pbzW+enMlcKKpXtVaeM4IRhYgWuvJ9HmpyYcMZVc3h5HfWikwNRvyqLqWCK+pyiY5H38gjNouQXfuEXsLGxgaOjo8RGMqLE3FaC29XVVWxtbaHT6eD58+cYDodp0Va/38fR0REODw9xeHiI4+PjVMfz8/OUM3tycoJ+v58W/2oeJcV1radvuI3Wz1xXO5vWaDTQarXQ7Xaxvb2dQHSv18M3v/lNPH/+HJ1OB8vLyzg/P8fx8XHaeWEwGGAymaDVauH6+jq9A0XnRMvC+swiRh5LdOwoZmAZtZy6Zodl0s849nRuu+Ol41r1I4E024L3oG3yeawRDl6vuwtorinvTVZ/OBwCwB37zsVpPiZ8HVStVis4W6qrOQeYa9toNLC1tZWctllyb2SkhdUGUUZFFY6DCg/bRq8oT5GMJUEUwYl70NGkK1NQCmJZbmXYOBgUXNIoMBVCw2w6mDQniWEE4NbQMKeUzDUHkRuGRYj2I+sahRo5SQn+uC0GlaNuc6X3ZluwDsp68DtXiMo4q2enoDIH0iIAqwvLPKTmOyJEuYFeJ13ERiBLb1EBLNvSf79o8KrtXAZk55V5Qfcso6f34t/8XXT/XLkj0Jyr37xt7QA291sHrosykjQ2GpKPolZAEYQCxbC+bxkV1ckXy5Id0XGueYjUTXw2U2eoJ1RfR46bvpSF4v0UYPL+ei/P21PAoLZIQSrv7USIOleLmpd/42/8jZQG0Gw2EymhESHgdoFMt9tNrBbTCvr9ftpG8csvv0xsuK6DGI/HaQ0C1x+QwaIj7eJkQaRHI12iv43uuba2lgA4cIMFut0uPvvss7R118XFBY6Pj/HVV1/hiy++wP7+PgaDAer1Ora2trC6uort7e0CWHKdQXkq8Orsp0drlRHOOQg6brUe6ryxf2m7eK2Oc96Ti91YNl1Upe2jZXCMRMDJ9E8FoQAKwLNWqyW8QnvI7/g731KTc1GJr4uLi5Qus7+/j5OTE4zHY6ysrKDX6+HFixdzrfO5N3hlo+r+XvQmCTIIJNWYOUvqYFVD6rmcU2X/NAxMBeshJv/blaeKdigBKjtFWQ1+xwR8ghgNC1CpEwSSIleva3l5OdHrZDR0rzsdMIuQaGEImWBOJGUxGbqit8S+Z26MKxoPBXtbO3hVB0gVLtvRHRG+R84J7+XsK8E3Q2pl4Qkvo/etjkHe9/z8PEUhOH6eQiLGM5oL88hDAKsDVwcHvG/E8jgAu8+Yd+eF98mBklxb5J4XGUUH4I8tzHnTiEj0zMiIa/SEzra2B/+n0VEmiEZSHVHqQp1fBF1qUD0Ur4bRiQ51+rVMztzqgjHVw8r6eUpFDqTqZwqGte0WIZ9//nlhG0llhgl21tfX0ev18Pz5c7RaLbTb7QQirq+vcXZ2hl6vl1bmqy06OzsDgAQUvD/YJwpeHbRH4C9qO75m2c96vY5Op4OXL1+i0WgAAFqtFjY3N9NOQycnJ/jyyy/x8z//8/j2t7+Nd+/eYTwep7zZXq+XopkqEWh9KtaV6X1KjuhWY7ogScvHv1XXAXe30OS74iuOAd2JSe2q2kb+z3Kdn58nPKbOKVNWmF5CgLy2tpbGGHCbAuAOoYJdph+srKwklt/XyTAyrTaSjtbp6Wna+3gwGKBWq6VIxcnJCb71rW+V9sm9wSsforkbo9GokPPBDtBB7xNCJwWVlANaNpoCVzYElajT7A6clHlwL8Q9Ug1VR9vAUJw9UMXMHRV08DIPUgcbwyy6HYUqYtY9x7p8qDCE5WwrgTYHIxUh860Gg0Ea+FykRdCp4UT1OjkBtD0iZlABLK9XpaATXIGl9wvbThWM5yTrIgUFwtE7cHdlL9tFD2jQLUU05Oue9mNLBFwjUDdLXPH6/xE7E83reZgtLafPW59vUX9Ef7vx0mhQxHREdS9rm0UzdQAKY8Z1jxo/rQPbjPNZAanOPQXDfn8FPB5J4PygHqOxjn6rodRIF2ukh1Et9pHOJ0ZINI9e2WRljNk2Og7U7uRSGVjGRfXnmzdvCuVlHQkEVlZW0Ol0cH5+nsgMMrS0B9zaiEIGfGNjIx1g0Gw28fz5c2xubqadDRwok9FTuxxFaCKySVlibT+N0FGfErxeX1+j0+kAQKrPdDrF6ekpXr9+jc8//xw/93M/hy+++AInJyeo1WrY3NxEr9cL+8pBc9Rv0bx+LFlbW7sTNdb1FGrfKTpvoxSIKO1uOp0Wdp5QDOILJdUW6e/ZH7RJDiTPzs5weHiIg4ODwhZZamtVh6ys3OwssbGxgU6ng16vh83NzbRwmSQW9YMCZY3Ujkajws4SysAOBgMAKCwAf3TwenR0lCYAw7GtVishdlV+HlJ2MEMQ4SDXjSSvcyDCSa0KOwKd+q6GQSeAGlxlCFz5kNFzpoisJbcIoVxfX6f9WwlqAaSDG3SPXHY6r6VzsAhpNpt3GJ7J5GbVnysA1mEwGODk5CTtTcjkboYZGS6g8L7a57qgyYGjgy9OUAVPyvC4o6FKWBljTy+hB8l708ONABH7SxWH5wOfn58X8oQj8Kr3emyJWNB5lHgExhS4lgFINXQ5MOvgSu+lyhYoRjUiZxGIN7HPlY9ChsvBt0rOEEbXLlrUKc6B18jJc2bS+5FjXg2T5sPSQWUeJsPPyhJqH0WLOfUF3F2kO5lMCnpaU7LU4OkWTox0MCoVjdnc+M8BV3eYFyVnZ2cFQOMgY2VlJdkG9sNoNEKn00kgloBifX0dz549S3umP3v2DKenp5hMJmmzdy6KarfbKexLHVir3S7KiZx5jq2IAVcH8Pr6OrGQSrbwHlxoBdwwrqzb1dVVOkny1atX+OKLL/Cd73wHb968wWg0QqPRQKfTuUMwsTzRmFbxCM5jC1PFWF/iADpzHrJXrKHOnZaXfaNEivYD+03xCJlN4i3aRLb/0tIShsNhIf+V5aAd5yES+/v7ODw8xGAwwMXFRUGXqIPJrbO2t7fx7NkzPHv2DJubm1hdXcV4PE77EnP3AwDpb99KMyIafQ4eHR3NNS8fBF45+ImcyeIp4ufWF1Q+0UlNGm7SfFP32J05AG7DTVSmmnSsq2F1EDmI9cHoxpjf6fcaTr+6uiosjFCqHbhd6MQVu5rgrgvelFHg8znYFgVeqWC0/ppPrAarVqulvV25eODo6Cjt1cZEfQ+VuyFmvdl2qiQ5TtjOCjZUkbEcDCuRweYYYV3oFWudHLhqOWk83NHii+OL+90xTMd2Gw6HBUZIxx+Ahe0a4TKvMXag7iyrA49oTujcKAOwOm+1n9SQs4053n0BaPSsqL6zwK3+7cZQ9UGu7mXPeCzxeaPtpcCVZXHHXA299qPqUM0vpwPG4yP7/X5KDdL+8RQjHd8OfnyMKCukIDhaWKbhWIIk2hB3nvw5Oacr+kwjgosQ7Q+Kgjltk8vLy8RKcl9NphFsbGwUjgPtdrsp/Wk6nSZAy0MQer1emksKjnVFeeTQa/uojeNntHcEYmrrVG/TttVqtaR7R6MRTk5OsL+/nxZpkQABkNg9kjmeDqLjXIXf8+9FglfWU6PCvv0ix7fjC0+DURvli8VpU1Tv0IHjGOBuN+wXvqbTOHIM3G6txt0pGJ7nXNccbOrjRqOBjY2NdDJar9dDp9NJO0IwXZR9o2tKdBs0gtla7faAC/Z3q9VKKTAUjosyuTd4PTs7KygqGm4qHoZQuaUHlY8WVjf1dRZVGQFVtlTm2pm6sID7zPJd2QFPFXBDFTEHmq7g2yxp2JjX6BY3ERBQ9pYDURk6ZR8UOHo+52MJlZs6EJoTSgPJcpGZYd/yNBi2MQEkRevuoF4VI9+XlpZSLp3/nv/rhOe5zJpvzPw8ZWeVXVDlxrHE33BiOZNFD5S5a1EOGye9esjRHp3qvHxMcTDGzyjR/HAjETFYDlY8pUfbQlOB2A/MAb++vr6zOCgX8tV3/9vrpf+XgXV1gp5a1HnyvDPglr3k35ynbjB1DEfP0HmiWxYdHx/j5OQkrRRXg6M7bTBErH1KYXl1HDhYY9mUyeXvPLoSLYDkvbXN9PkOHLUvtXwa/Xls6XQ6hegW9ZfqWTKhg8EAb9++TfaM+6Nub29jZ2cnbTNFgMr2UpaMv9Ptj+joA7fgxcGrkwQUB6/Ly8sJtJJ11DGn9pA6mnhgMBgksERssLS0lHInefIY83sJftk/igsoaiv1s0XI2tpa0vVKLDm7T4nmpKdIcjzovOC4VhvJOU7Hgd/Rnridi6LLbCv2C3ek0Nxid3qZqqOHFSlgVpZZsY/iQAJjpiHSuWEaQq/XS+tmeEiCR95y8mBrqrkwnPxsGOY4sKNp7N1D1gFAhaYNp6DEmQXdCoLeGr1TB6+eQkBxpkgVuq+O0xWcCradDdFcLAVDKyu3p4bwfy2Ph5c5cRflSaqh8E2uFbyyHdku7mFreEHDgFHaBiebGi+dBJHhjpSWMnseqlQ2Tz1a1llDjxpSdmE9OJ50BaWzVvp8jQToArynAkMKdPQzSgQ8o984w5VjPCNWku2iKUF6vbJryhbQweXCNwU0+gzVCR4q97JFddN2cdZVf++/XZRhVHFwrnqE9c3VK+c06/hzHcfUL4b+CCx04ZUD4tzLnVNniBVw8t7qOOqc0ugPdaGPSa2XPl/bSdlYdVC1nRYlL1++LETcyISenp6i3+/j+vo6HQPL9mKZCF4Z1mWqWqPRQK/XKyzi0vsrezcajVLf8HNl+9gOSqpEh2JwLFBXa5RRmb2rq6tEbHDfWdoUbvmlJyuR/FpbW8P29jZevHiBnZ0dbGxsJGZRgZ7OB5aNEjmyjylKMunOQWqHPGqozgXbjL9Rp47lZn3dgdN7Kp4B7q7p0b50Ha0EDlMQGIFlvZy5JVilnjg+Pk7pACQY2I8Kun2bSs49TQvrdDrpd7XazUEXxB7zED33Bq8EiJqTQ8Wgr+l0mjqNjKiyogoc2eAR3a3hJd2TzP/Xl+Yf5vLAnFGKFDv38OTpSbm9TR3Ea5k5ABgG5TWaO+lssA/IRYgujtCdBDjYaCwVBNKrazabqd3q9XphlSx3YdB60bioctY+51hhndkGnlvnTIMOcmf7IsXm/1NZuFPDZ+ipNxz3mvzuOWMss66s9EUlixBVls4s5iQCne5c+vxQAJH7nYMkz69TdsYX5PDYQB6rqQpfxw37X9+Bu6eZRUxt7uXtyd8/tUTt6eCRLKSW0/tG5wv1s+a1KsmgTjmA5DgoeFXmVXWbz0+K6kZnhjzcD9yCJA3Fcn5HY87nkjLQWha1TSyXznfVRY8t3/M931MYn+PxzVnyy8vLhUU5jCKpsJ90dxQASd9y9f7GxkaKjFGPK6MazQe1U3qKleZCO2lA3a12gOlwtBME5kdHRzg4OMDR0VFi+Nj/k8nNArOXL19ie3s7AfVOp4PNzU08e/YMGxsbiT3ms9lvWhfVe7m5/FjCtlCSyfWjEzwEgtydyJ0LtYt6Tx0LkT53Xah6Xx05d8g598bjmwMzzs/P04JBXaekzgKA1H9nZ2c4ODhIdlEJHZZfU/R8/ium49ogPovRW82bnSX3Bq88k5hAlEqOoE4blKyrghtWVMMRbGg1Rkp9M/eCIIKneRE8uzLVfCwPH/kAiAZ/FDLW3FxVslQy/JtemeZH6vY3LIeDV2VIdLAuSrEynKSsMoGGemyaZD6dTpNH3G63UavVCmEFZct04qhh0nqq0VXDzHdPOKciYI61OgIACn2TA69u6BUgsGxU6gpc9fjj6XSamBBVNhqNoDLwbUOeQnQcqXib80Xj4wC0DLzm2FZVWL74RseYswrLy8uF3UR0Dqui1jnJELbnuOcAqQM6HxeLZOHmFQekzlqrAVWDp6SB14vzWBddHh8fJ3BE40Ej6+ybzk0FrBE54GXXMaEMlZZZWWCtL5+t91VHMeov1etcRBs5Mw5gFyHf+73fW0h5OD8/x+HhIS4uLnB0dAQAd3SVyng8TgcSsK3Upm5sbKQ9NwlKyJCxHXWceORS2a2IRfd2Uf2gEUeC8LOzs5TX+vr167SHJ8vNedvr9QrOp24ZSaxAnOD6h2UF4tSyRTmctD+RLVEsQMCqc4d18XlC0f/JZPrziIM8EqiHhszqP52TxDKqo0m4UC8wCsOwP0mtWq2W+q3VaqHT6SRsp6l7njKkup5jgf3FnOfhcFiIbJfJvcFrp9MpgFcWltstuAfQaDRS0rnmuzIPR9m4aLEV6W1u9sxk9qjT1DCpAfaGiJgV/VupfuaGRjkuXLlHr5PvGmrRtuCznU1270nLsSjFenZ2lgwaAYWyFyw324b9RFCum5n74g1nszU8om2t4Ij1VSdE0xAcXGruXcSe8545EK3fu8PCMUevUtNQaCgcDFG0vrpYTBnYjyE5cAoUWRVnMLx9/T68Ruusx/FybCmgd+DKdtGcME8L0L5ZXV0t5JrzXZ1BNyAOXKO+cMb5Y0gEArV8vMYjGxSfs3z33UKOj49TOJrRFNexOu+03bSMUVv6ONOx4+k9utXccDgsOLMKBAjAx+PbfUs9fKpzncBHt+KiKGkRERuPJS9evEh6cjKZ4OzsDNfX1zg6OipEmgiydRcTjfIdHx8Xti/UqON0Ok154ho94zjw+eAOB+uu7LnrTNcZ7lA5cD49PcXx8TEODw9TesTq6io2NjYS2CHg0WisvgiEWAYyr3yml5X9/RQOqIJW9pVGKdmW0baJnK/arn5v4gNle9kuSqboNpu+c4f2bUQWKUZR1p4pH8fHxyn/nQBWjysGkLZsYxoLMZ4CWN6fpB4dKrZJo9FI9WPKWO5oY5d7g1cN1et+cvS+dBstVXi6uIqDjh3N8JBeQ6VDhE+vrNVqFVIWXNmrQY0YNvfq+e4vZXEoOnmvrq4KLLIzTLpPqoIfDkpOUFWuWuYIGD2m0DvXhPEoVMTvWRZ6f6p0qGR0Umj9yVS6F+aMqy5i082Oaayn02m6zkMSuktCBE61Prp3JYEw2VaObx3nCjxz7A2AwjVavijc/pgSsaGRMxSBUIoCV/5elZ4DEQe1DlyjlczsR+0bBWI+59RQehk45zznWg1hBGK1LSJD522m7fgUhlHD8O7c5cA4cJt+o78hU8JFtaenpzg9PU3MCg0E59T6+jo2NjbQ7XYLKUDK5ET6VcdSNBZVlLlTo6mASrfV4XPVplCof7WPc6ytirans2mPKZ1OJ+l4EgODwaDAbvNdSYHpdIqzs7PC/pej0QivXr3C0tJScqrr9ZtN4nu9HpaWlgq5wtTnOr/U5kRRP58fDnacTc9d4+NCIwgkQNrtNrrdLtrtdmGcKUHhZIimDuj4jxzqxxZ3KH0hMIEr66Bzio63Atzo9/xedQDtE1MiybgSwOouFGqPIwY2IjDYrtw5isBV13cAt/nM19fXiaGt1WrpOOLBYIDNzc10SlytVivYAyU3mSJGO691472JH8rk3uCVBoONr4ONL+0gDXU0Go073p8rYC7AUm+CFWNn6WIYZ1o1aVhfOoHcc9OwtLO5uUmkgFOZvuXlZZyent7ZMoIDWel1XaGn5cqBo8cUbkWh5dYBzz6kTCaTwr5vnhLB6x1saBvp4jcNa/GeZN9d0eZYXQ03KkuTCzczn0YTyNnGmpetIJrjWcOVVM5UUqwnx7WWU4HbPEnoD5Gc0taxFAFZ/UxBEn/rSk8ZVo1ERMBV76WpIEzB0e9UWWtZ3VHgi31/dXV7kp2OTc3F8rr4/SNgG7Wj/3ZRQhZOx3uuLP69OmkK8MmIcUHW1dXNivFWq5VyzdrtdmLDdMsijQz5vZVB1/ET6Vd9V/DqLCBtgO/sQvaYfwO3cyoiL/yeWpbcOH9scYb06uqq4CDTHpD5JtjldZPJJLHRwM3emfv7+4XoI3Bjk7lVodaX5A91oDrl0cJaH1PurLpddX3AZzAXl4CFrFtkJ2q123xq1fM+B1T3qk10QPYU4FXz+elYMVqkZAyJOmVefT2Itrc6U5rGo4DVwZ4CVyeT5hXOLSfZaBOdIV9ZWcHJyUnafUjx3ng8TgsJmWNPNpV1XF9fL4BYAKkexEoL2Srr6OioEPrT1AH1ppmoXavV0lFnnDgRo0lFw5xGev462TW31T0wNbC+IMQ9nUIDyKBSFge4VYBuTFVBrq6uot1upwU+BHXcFmQ0GuH6+jp1JoESf8/BSkBMtoGyKMXKcCEnlwN1LQfbQJmCyLPz8ivLwtADF4sQcLLdCFyB2wVvemSug0IqS18Q5Tl2DsaVEdZyMzWF4VLeU3OEWDY1xApIHYi5U7SovV5nKe1ZbJjeQ4FB2dzS+aS5UxGoZJvwOfoMdWS9PBHD6+EuZZnq9XrhVChGPRT0OnvJv/U9x8p6ey5CNJysz2M/OAMUsWUaCdLt7ai3OeecFKCxIoCO6q2gWE/L8WiKj3/OAe0L4DZVSB1Z3UdcI1q6CwLvq+FVZ7E8hKrMv4LgRcnl5WWBddPwL4HrdHqzT2un00G3203AvVarpYWLo9Eo3VP3S+12u2mrKWX6PH2GL7WjUXqNj6OyOcj+pj6YTqdpT1COSzKsXBMC3OhdhqAVnDKaqqvRc86sgr3ICV+EuC5Um8A2UOCtC4o9wprTLepwqHNDZ1KJO02vcKLnvsJn0mECbqIarVYLvV4Pz549w87ODnZ2drC9vY03b97g3bt3aScM5juzfbjYHUBhX2Gf6yy3Ms7a9wS8Obk3eP3iiy/SMWHMcdCCkno+OjrC6ekpAKTtMagoyWaxM9XAU4G22+10bwdMAAqKkhNLcww9505ZAg1HaUiFjUkvZjwe32H++Gx2MhUHAbe2B5O4+XwABZDrQIFMBGVRwJV1UJZSvXB+zzIo0+g5aNF9VdFxYuuOBsy3ZftxQCtTqv3gqQkKUHOLR6isLy8vw10C2Lb+HGVbaaR1zCiT62kN/C5aQKhO0WOLKvAcA+vv6pTpfYC7p9Uo2+Ag1RdpKbBQJlRBhkcW1BHSsrixZH/QQQaQ/vcQlacsACgYamcFIyljORclyuS7UY4Avv6tY5aAVZ1F9g23YdrY2EgsnhvXq6ub1eqaz0cd6ws9lRFV8OpzQp1Nb3cNn+tWhcPhsDD+OHcvLi6SswLcOtiaDsTPdJz5uNLoyGPL8fFxikKQfaWjzFQ4/s+Q69raWkrpGA6HiXnVPMNarZZsC3cX4HcehvfUAXUkyyIdChTVyWdb0glwtpR9yEMTuDiQ+ZJXV1cp15qLgs7OzpK91+NxPV0rkgjkLkI8AsTx5Kl3vK5ev9ldiDaIJEwEtpUMUyeEi/KYLqmREHfKJpNJYQuvqPy5KJP2db1eTzqh2+2mecgjZZ8/f45nz57hq6++wqtXr/Du3TucnJwkvcPDBpSVVt2jTqfmNtPm6Jx8dPD6C7/wC8lL5F5zrVYLKysraaPZfr+Pw8NDnJycJAW4vr6eTmfginUyV2TdNLdVB7IPYmXYorClLw5RNibKwVOAQbbPN6SP6H6dyDQKZC08D1PDdx66Yacqi6dGYBGiYZhIFNg62ABut5xRR0D7hu8Rg6Jsmbe17lyg4V+2jYeqyP5r+IS5MwQ2l5eXSTmy3bnQbnV1NRlvAgcHQmQWNBzEiIPmrukYihYhLCptoIxB0vGjxlyNdvSuCjaXGqAhXd6fbcR20PCzgldnUBxMOuOr4Pni4uJObqjOdfa7OqtUzBpCdiCr5WE7lBmDRQgVufeFAoiImVJG1I951b0Tmdeqe4X6fo067pVp1zlB4KpbM6nTo7o1Cll7brlG1Mg+asqO5whqXanLlHVlW/oYc72qLPBjy+vXr9HtdnF9fY12u536T8EJQ6ckhDSXlTqsXq+n6GWj0UhAVxlzt52eEqAvJQCUbPB5r+L3oH3Q76kbuShrY2MjnQ5Gu8hTtZiDfXJyklJW+CJg4+If3h+4Ox8WaSNVOEZ0LNNWuBPP6+lcafqk6xTVeby3n66mYfsIC+nBB57WMcsJ0WghX8zT5fXMc+XpbUpc0ub2+/0C1mHdPD1EF0JzrOt4YhtMp1OcnJyU9sm9rem3v/1tbGxsYHNzE8PhMClALqLhitZ+v58evrS0FDIAGkplyEEHru4o4JPOt3fgy4ErWZhooVDEpDn7GuWWKOj0sNB0OkW73U7Gncq03+8XVu35wNHkaA5MDoBFCAe+siwsqw5uigN2IN7mRSe0GzuCQAWt9C673S46nU7BA/ccVKCYGqDgSYGy7qDAz9nuXE3NzcEZ4qnX64V7kNXQfedYbhpqZVZVqXneZS40/ph96f0U9RuvZT8rOHQAq0aN7eKsq4IVZ9ki549AQR0cnY/KELmjyN/4imRlkvTkIJ1/2k6+ipd1ZD3csOTaeVHiwN37Vlkfbc95gCt1rM+11dXbE5k4r7hgiIuGuNk854S+NDpB8TA55zvnNNkkzsdWq5Xmoqb66Fip1WrJMFLPEDyrztLfl7WzRwAfW7788stC6gDHq6YokXnli2lL7M/pdIpWq5VSztrtNjY3N7Gzs4PPPvsMz58/x9bWFjqdTrqnRyvZXmxLj0qqbXRRtkztnTOu/IyhZz1GWxk46tXRaISrq5udFBTwbm9v49mzZ4nVVXBDiZxed0gfW8j4M62RTpYSM9Q3xDeu41RU3/FvzTHlnCALqkAPwB17p1EQ36/VCQb2l+a1cuzQ8fEUBE9VUIeTaTCnp6cFUovCMaNbobVareQ0AyiUT6NAZXJv8Prq1au06kyVpiaY8+hQhpzU+GloUSdZs9lMSpUVyzGuunqWSpYhFhown5gK0BS8siP1pZ3k+89R4TNPUwGA5vp0u93CIFlZWcHR0VEyLgpeOfEVqLOuizKYStMz2Zz5cOqJaWpH5O26x+4KUlcP0oiy/ZjYz3bV9uVLWc6INdBJogwhn8fP9Ox2PQJTdyhguHUwGNzJzY3ygtTxUO/Sw6Q+QRcpOVbCmToFrQqCtA+V7dT3XPQiYtM0JUb1gL5YBg8x+4po4Db0T8PmkRnqI/X4I4OmIbyIcXoKNicnUbmUNWGbUOicc4xHwJVzrdvtJtaExpDOGfuYeZXv3r1L59Bza62zs7MC+FGGW9tc05E0h4/bcTFyxzPTx+NxgaUDbp1FLmpaWVlJZATnNRktBcu6f6S2qbYt27QsbeRDZX9/P4VhucUkbQpBCoACEKCTxwVcABJru7q6im63i62tLbx48QIvXrzA8+fP07GxXLTlKXZkqj19Sw+lUWKHEjml2p/6LHc2+TdTfJjGwoMx9IAMRsC4YT6dTNpe111OpCwauAK3kUbmaK6trRXAOOeRM54u6oCyXdm3TOdxnMF29lQ8TQ3Sec9+jaJjfDbniW5d1u12E07SurLM9Xo9HVAU3evw8DDtDavP04iP6h/eP9Ib8/TlvcHrZDJJBp4hdnrE0+k0DUptBPUW2LGstCoosgG6x6ACw+vr2y0d9CxuKlYHr/o7Z2B8AqhR5MtzT7rdbprsGxsb2XDr8vJyUiTKGlLRMzdE0xRo6HVRA9mFRQhBoA7ElZWV1EfsV7ZJ5OEqYFWmLgo9UkH5hOEk1QUjuv2HKklnY9wJ0T7QMnHcDAYDdLvdlIul23wQyOqWQmQHACTGxIGWgiyytxQH21GO8KL61kGrM+najipsV0/5cCZT2Rb3xjmWORZowDxKormpbFMHwH5fvtygaohZxyAdRQ+1sw4R86qMUg7cLkp8/OrnlIh5ZV4aDZmCAAIhkgNkcgAkPUnnjbltr1+/xpdffomvvvoKr1+/Tnt2Usc6aGVZ3bCpY0Pw2u12sbm5mRhEHQ/UBxxDDGPSXvA6Zdk1kgcUF72pXgCKDqQyiouQ09NTbG5upjlGJ4tkyGAwSHn7HvHiqn3OI4Lgra0tPH/+HM+fP8fOzg62trYKea6ar0+9q/OPaw4IdDS9ysFrlFYXpdT5QjCKMpUE8GQGh8MharVa6vulpaW0wnx9fT3lW7qOn6XXFgVgadfJMhJEjkajlG5GPQ/gDgiLHFL2M8e4A1e2L+e5Mq0kCfUoXo2S+PzQ57IeGolhSsDW1hbOzs6wsbFxJ3LI3zYajcI813Y5PDzE6elpcpxrtVrhMANNg1hZWUnXKJHoKZQ5eVASnofy1Qsm2KJ3ouES4JapIxr30zV08YCHxLTTFLienJwUOk0nLgeOig9wV3D8X/P2Op1OYuM0FUE9CHauMnIKXDmYSK+PRiOcnp4WGGhXpg4uHks0nKDsm4ZwXUFEioODj+3n+WnKsq+urqaUk83NzQLLrqF3zTv2PEVVZlpWfynw4LjUfYI51tz5UuDNz1hPGpoo71JBvhpsLvpjuHMR4uM3+l7bhf3vv2FdOac9BYd9qQbNWSMAhbQRXZRBdkDnEUGxphHpS3WEhpo1rYhbryi45i4fNDDaT2wT/ZsOtTKcqvDLWNrHFDc0uedrnzMtRqNQTLFQxoOhZc3LV706HA4T4/r69Wt85zvfwatXr/D69WscHBwkh05DpMrg+zgCivqQzmmn0ymQDv1+H/1+H1tbWwW9oKwT8/A0MqXrGPhcGkTV5Q4g9HOO50WJOrv1+s3CVE1B011MVAj8OC+azSa2t7exs7ODFy9epJXfPEqV41XXA+jCN2XplKEjyPH1IJHzoeBV60CygfpaHSsF4r1er+AUj0Yj1Ov1QpSWNlwZdu2v6KVttighsNJUx+vr60Q2+YJCJcSA4loN1oltq+lz1HHUbXyObnenc4YvAtcIvPpiMs27pjNJAHtwcFDIa6W9ZP9qCgBF7QHnKHNgl5aW7uRjq6PFtlHiTtu4TB50PCyTy9WIaC4FDYomICuTSi+GiJxAQleFKyjWBO+o06hU1YukQlNjpP+rqOFTxUdvnyEWnfCcYEqBe/Ixn7mxsVEIn9dqtWRcWS8PtbJTFwleVenrZ5xk7jmyTRRAqtLUCcr2VMPDhSLb29vY3NxM3p0yD1FYSvssCge6VxnlSTtbpwr/8vISp6enhVwupgIQnHMsqDKiwo0YOgfT/M0ipKx9+L0re+9HvY8aQWXQOb/JwujxhMBtHhbniirak5OTAjvA8LOmEem9c6Hmzc3NAsjh2FpbW0On00lGY3V1teDIMrQXMfU6xvRz9qu2bc4hfizJgWNlY3Xu6qp8TRdgm5DxUj1FY+u7wxweHuLdu3d48+YN3rx5g7dv3+Lt27dp8a0axfsK7QJBMp0ZjaDt7Ozg9PS0oB80EqfziGyihh1z+YVAvOOGf/bYQvIicnIJAtmWni5GvVOv19FqtbC1tZWAq+a56u49BCqaV+qA1XOX1V466PccV922UrdZ8yO0NZ2gVrsJPzP1gUwwHVuC1MvLywKg4bXaf57Ctkiw6qLRWNpozkFNk6PdpCOlxIfPXTo0BK66exPbgfOUR+8eHx/j6OgonZJHnap9q+t/NH1ObRP7c21tDcfHx4kUYISGBNPW1ha2trbQ6/WS46UAVkkboIghqHOpxz0VNMrFjdKicnJv8Po93/M9hRxQzVFSpcYJpTmO7HQaKgWvOiiUMaPHwU47PDxMnXZ2dlZYDKQdpYM9UlgUnawRMCJ4dk9WXzwphMZdf08FxJAPDfXR0VHyOJmCQWWg91gUeFXg6m2ijDeNgi5uYPnYV1pfHZCaL0XGhcCDexTqYHZw5A6Ppye4smX4hv9rvxOQKgtJgEbWisaZHjWVEeuqY5fGIsd66mR0tvOxxfshEmedctEIdRp9gRaVFNkCXZDBfGEFQoyK8EWmjewAQ0vOTtFRoI7gti29Xg/Pnz9PzNOzZ8/Q6/USU0HFSmVJpc5+PD8/L0Q3dNwzp4wRnzLDuEjm1UX7ioaB4VSmC/hertfX14k0INHANlLGlf317t07vHr1Cl999VUhTUC3OFKm/CGi0RgCTyUk1LmhXlQjrw4k05rW1tYKAEJJDwVjkcMyy+F7DNH54XZJ0234udZFU6001UJBq0YzNWdf25QEj6cJcG5HDhFFgYSyjhoVaTQaOD8/R7PZxMXFRSHdi+BdSR2NhOk6CIbfmQKhRAEw3+KsyJY9liixoYSEpsRQz7AvqZe5cwZ1i6aiqXNOnKTOCG3TyckJDg4OsL+/j/39/UIeui6i1IW11OGRrVxaWkrM98nJSZpPzI3XRYG6HV2tVivstKP9Sh3L8rBPmHrAvmH/59I9SAzN7JP7duL3fu/3pgbXED89PnYsaV8CN92njEBVN/UniKGRdQV3dHSEd+/e4d27dylXUcNGNDxsZGeVZjbEe0CizJT/9vr6ZjcFNSJKy7NDVRFQMTUaDfR6vTseinrJHHxsOyriRYgrdQ9zaPmdDSKQ4WfRqkZlOTW3xvPutI1dWWpYQftZ39VIef4lwa+DYz5TGQDdDYFl1oU/zsqrg8WJSGCredPqQS4SvObyI/X/KATN/92IKdjQcKLnpS4vLyeldXx8jLdv3ybmbn9/Px3WQWNKFoisqEZI2IZqJGgYOp0ONjc30+bYVNwKYn0jb2171oespIaglRGLmNWnZHjc+VIGWCNEbDuNCNFQkVXxUN3S0u1R1mRcDw4O8OrVK3z729/G559/ji+//BJv375NJ+gQDBMcUr+5bvU5kgOEGtKmYSYDS4Dlu1mwH6kXmYakee+a28fy+hoL/tZtw6LAq0Z2hsNhYiSVbdVc7YuLiwR0SfwwF5KMGJ0Q2lzOWUY8eLwnHUjut06iRxfxaD+VMda+DoTpdL67B4md8Xic8iKVaXbmnECPJystLS2lCItGdFhOtVVPOSeBIh7QlCut3/r6egKm3MlGo8daH/7GT7CiE80xc3p6iuPjYxweHqZIyLt373BwcJAcS2XP3XnTMRIRFiRglDxoNBopFVPTxVj3yeT2yHsSl8QyJCeYv6w53RynHLuqg9kumks/S+4NXl++fFnId6Fi4ZYgHFwcmAxd6TZYGmLwRG/NiaGCPTw8xMHBAQ4ODtJkpFKNBnRkrHPCTqOhjFg/B6rMW+Xg4CDWvA9/Nicv24ZhVRpxXdzEwbLI0Ii2m+dDKmiO2tLZKQWSwO3CBDWgmkPDccO2pagD4cbFUxKiFfC8B5VrtMhHcyuZy8x78PeNRqNwIpGG0Xkt+8lDj2wHjmHPB11UXzqApbDtFAhRFLB6yojvDsLxrc4nGQZuQ7a/v19Y6PPu3bsCePU8u3nrxry6brdbYHRplMkg1Wq1FMVRtgtA2g+UDBVzlnO50lE5yv5/LImeowBWDdJ4PC4APuD20A8/lYdGkYsSj4+PU3998cUX+Pzzz/H555/j1atXKSqkc5PA1Rl84HaMqVOUu476kv3v2/soCAWKpxwy7YGGn+1CFonjQMevOl6ex7xI/QogzQuyaZeXN5vVs3wU3RaL9oghXaZaMbpHooe/Uxadu6mQoaO9VODqYVp9uXNLUXBDcsUBho9NfY5GUhqNRsFWEB9wgSHTf5gOoeWh7Ykcj0WDWWUX1UYpEF1fXy84BmqrWH7NIdaUCweu7MvDw0Ps7+8nUuDt27fY399PzjtxkDp6UduofdD54Iy4pjjwt2rbOOY2NjaSTlAnq9vtJp1cq9VSvwJIQJmRIbXLbC9Nd5klD8p5pTEhIGP4SkEPaXMNXUX7C9KAqHKmgj05OSkA1+Pj4wJrA9zS+crURaGjaJCrouBA0rIpfc8GpQG+urrC2dlZYZISpNBwsl7KQgI3i0nIRPMEFQ4azXdi/RYh2u7KTlK0L5WNBoqep7J2vFZ3aSBo1XAQ76GGin3n9dVnKLDSPWSVUWBdNA2DkQJdUMB+564RCmoZclZ2UPM/dYsXVUS+kbSX2dv4sUT7JwcgIkZP+87bNmK/dDEd50akaMkMKPPDecN+m1em0+mdXQo4FwmCOdc4nrm5OY0JxxfTFNS54NzMMU+5tl6ksXTWle2gThQBC3USU110kZZGxvhb9tfBwQG++uorfPHFF/j2t7+NL7/8Mp2Ww35iWZQJj8TD3u4AOGOloHgymaTz0RXURL+dTCbpUAVNAeI9I/1AsKWEwlP0IQAcHh4mED0cDhNzqqvTp9NpImpIAOlWWkwV4G81V5+MHplrB65Mr9OoEnC7Ep461wFPRF7QpvF6dVg4nzyS4U4h7SNPl6StaLVaKV2L81ZzeRWclfXbIp0RTftg5FFTwwjglGBRVpzlY2SQzqUy6eqQ8gjgN2/e4PXr13j16lXato4Oie6Gw/trWpTbd00v09QVZUCV5R6NRjg6OkqgWskbjgONltER2dzcTHVWopHvalcUU2ja2fHxMdbX10v75N7ISFf/UikQNGiIkcpUQ8bc14+elS5OAnBHwZIdYPiRDUFj5KEMzQEi8ndPnp3MRic7yLJp+TS3kblEusMBF5KxI1kGDhLdNoigVpPdqYTJUns4RRXMY4uyTjrhc0Cf37EtFfBwIDIXMscYcKzQ+CrL7AvenNWJABbBjAIjDW8SQHP/Ol3BzGsIdJShJQjQvEw+U6MLZAo09KOLNDR0zfIvSnJKWw1RdK32peZzs38418hm6/YpjBhwlbvmX7n3TqPEMaLt4d5+JAw18fhBndMEoKoIafwajUb6/dLSUupP9mW9XsfV1VVyqsract7vH0t8Lig7rrs4kLWjPuECEM2f47zhHq5v377Fl19+ic8//xzf+c538ObNm/9/e+8eY/na5XWtXVXdXV1dVV3VVdWXc857zsA4ig7KAAIajcxETbh4gVdNMILoH2KyGbkoUWdG4iUY8QIOBncMKIyRUZhgIOE2vkOYgHEUExyCOqIvKsg77/Tp7rpfu+vmH7s/z/78Vj2/XVV9alefc97fSiq7atfev9/zey5rfdd3rWc9sbOz09CvbkOb1JylNifAeiV/hhw53y8bXqcFeSMU40nbHSnD2NpZ59p+nYQ8f/685Hqvr683clYpg4Xeh3GyHXn48GFJi+FErbwJCLvkfEjKmpmZc9qEQVce37YIA/2fN2yZEIiIxtoykIoYhcu92Qc9jc6IGDnKmYzCVuQIkts6qfE0gw/WcY4+KS3ZeWI+wj6jB3N1JbCKccb6+nq8ePGiAFc7lwbEPLPBZE6Zy/1EegApRbbPtB97u7m52XAiDMKd08zGvFzhwLjG+CZXqOHZSRH9+OOPx47JtcGrWUQab8+bCXh2Nsy9om6Z2dd8ZJy9budCkbezvr5eQuxMYIxgLqmEoiaUBHg1K8cgG7g+evQoVldXY2Vl5QJ4xWvY29trGIX19fXCfmxtbTVo8F6vV7xsKworYZwAFruNjPt7EsLmDStxg1PeM3tsIwrQYTLynAAGimmjdAEfjC+sJpPec6u2I9HMCj9ci9wg2DjmCI6TC2Lno/acuuJ8WBaXy414ww8MCCxXbVe02fhJsa4WM3Yex1oYNzNaNWY5byygr1xdwLts6XfWFWEiNjOYqTGLyL2dY8w6MehwFAVWwG3iM2dnZ7G8vNwoY4fRI0pE213+B51FH9X697YlA1j0LMwrOo45yVzMG7TOzs5KGHtjYyM+/fTT+MY3vhHf+MY34qd/+qdjZ2cnDg8PSx+YXcOpcEQI8Xg6BSU7wDkCkAUGEmG92MhZZ7J+z8/PL1QmqRlL2uT+nPR4fvrppw0nemtrKw4PDyNiVIaR+Yt+RGfAYK2srJRaro7oeKOpGdeNjY1yeiD6yU5AzXGtOR7elAs4cx1un6DlNer0P9a1ASzPiu3HyXf0LGIExGrzynPptpyRPK/NVPLceS7i4CM8N+CVaCBr1EQAm1x3dnZKtPns7Kw42Tjl+ZlzFDuPLW0gZc651KTimM0nJWl3d/dC+7F3EAVm1W1TiJbRF9bl2Iz8+YmkDaBIvCucTmMg79y5UzwTqgmQ8+qi9FY2eGzk7lAKi8Th/f39hrdjz8UsLt4oIU0bSRYLioNEeANXdi8TlmIieMFiKPFEmHRm7pzbkpUlygDGzsaCXDy81EktRoc9/JxWDtlDj7h4MpcBB04EOxZJEWE+uL4fuTD0pZW58ykzi+JwDP/DY6OcD+MOC8VcohCzy5K4CkbEKI+M/vemBPeHnTNSI9gUQ/+wHjBIkwSwNcbEDJfHNo+5FYdzUokeuK5j3uHM9RxlOTsbneoEE5tZVdZkPvGHcLVrvJqZAFzj6OE0muGOiIYyRSmbWTbDADvHZiQDp9r6a2N+bkJyhAiDkyNUGfDjiNWqwPDcu7u7pRzW8+fP4/nz5/HixYvY3Nws6Uv5XsyNGlCweE36GdrAatuzs9GDtWa9gL50OSE7vHfuNOspm9F3FCDn+k1KcNLRTWzaYfMhDiHkCM89Pz9fCBWY2nv37kVE8xQ0GDqXTaL/sK8mVOjjHAJ2Hr+dDq99WDqDLutNR3joW+sVzyna4xQuV3fxdTyOZnJvE7j62tahNR1vYs/PYzxg1npmZqZhxwCNVN1gbTvdxPcyiKY9BoEuH0rfP3jwoJSspPrPwsJCmWN2cmHx0TUwo0QxGVcIPY7OdUqLK0d4vTH2NVKP0+fGybXBq8OrLm/lPJq7d+8WLzKDTBukGuKmzEfttIiI5pGBsLicZhURJY+NTVEGQRGjDT14tigIlAR5FjBFfAdD6LQAFv3W1lbJVXG/sOgz6wB45cxq2gsQZmHglU9CzAhnjzyiXhuUhUFfZoaPsWHMmeBMZoMHwCDfcc4ooUDAMUyglSw/gB/STFykHeZhY2OjLFb/uHYd3jMLhxyx3D+9Xq94yz4tLOcu0U+ZxZ6E1JR3jV1qC+nmNQgrbrbLINKggH4gd9jOC2kXZmWdr8eacdoB6T4w2oRYp6eHG17IB3Mu1fb2doMx9XwCcNupjBiFAe0Y2Ri3RTwuYxA/q9hwM//yuLHunKaFA2F2zOtub2+vMK6AVjZ+sKGHa9g4833Gmvlk55f23hQgpC3oBvQoETzAucOk6F10RAbgGWjkdTFpefPmTWxubsbi4mIhV3LYnWNwV1dXSx1jl09C57UB1+Pj4xIlyQexZFtrRsynXDkszLp2xNRF5vMcsc5jLpiBzQROzqWempq6AGAZP8/57GBFTD4qYn1QS8NivprUg7RBL+bUNOuifAgBTOu9e/dKnVXmuUmevLHcJfCoPIGu7PWG+wGoGczRwibs0LO7u7uF6Hn16lVsb2+X/idn3lEtsJ6Jhv39/UZk0ylJea8SbbPdvkzeKefVDeKBPSh4kzSCCe/wbO50wvI+fAAmJntjAEm804WFheK5HRwcxMnJSezt7V3wNulkWFcGkWtQc49FTfienXR4nORQOj+QCceBA3wHJgqlgEEC5JHOQLuh1x0+nYQwYXJytxVJVvBmJD1prewcVnJONAvLoMcbpGohaRdfp58zS89xhzg93tQHswsjuLy8HE+ePCljxfg5ZIKXTG4XzpDZUwMkH7KRFbrTaG7DQCIZuGbWwJ/jPcbHJ4uxvs26GvDxbISr8epJ1cinMblNVtiuAWsli8Px8OHDshmCqgaAL8ZyY2OjjAsOhTfIZEcNg2jwanadtZH7adJjaT2RoyH81ELzgAHrYs9FDA6bPyg5mDfzsFbN5qB7zTrlPrDuaHOSriroGoywD6lwqT3nGjqX2jv3vRZhsWjvbQuONpGIO3fuFMf3/v37sb+/H71er0QDfaiE7aQPlkDf4Wyi69hvYGIHm0VYFrCEXnPKFc7j0tJSrK6uFgAFQDHDZztohwqBWfS6IorqdIKIZsQKGZc6cFviKGh22Pye1yB4gigg9s1sKTqIMSHKfHR0FL1eL+bn5y9UJnC6RibTwCDky3Kv/f39mJmZiaWlpXj69Gk8e/YsHj9+3KiTbUKR1CN+Xr16VRwkyiLyLE4loD1O6XR5NfeFUywA/eC64+Pj+PrXvz52TK4NXgFw9hrtTeEdOP/NOUpmaBl0GEfYM7wFgByTlonuRcoReVNTU4VmZwLV2CfatLCwUNIFqCt3cnJScohIjO71euWEE+5FOQ8rARQT7CuFpTPzxAQH4GeGEXaSz0+KeWWsPB6m8LMx8uYa+tS5Sw4rGbg6bcM7vw0QM+g7OzsrfcnGA9IBDDqOjo4axwT7qOAc+p6bm2vUPPRJP+Rgk7+NEnYYhrZjJB1CMyvplAKMpa9125LZ2JqY1YDdAawDXpmHOA3OicV5gfWhcHk+fpLPmn3FKZybm2uEPefm5mJ5ebkYTk7o2dvbi8XFxcYGCZxdWGAcU5xSj42dMrNC5L/aMaulB+TUmpsWA9J8T4CB51JOcaDtrClAxe7ubimNxalZVEvJOhxxDnBON6k5RhmctPVRZuDMpBkg2xjDMuYNtRGjyBjgFcY5YhRm5zSuWrrUbYodRPqeVAgAHnMfgM76JM3Fhzvs7+8XxpUNM9gqDoJhPPju0dFRI1fV4+KUH5xHbxpzJI21asDKWKJP+D/XZ27mfHbPA88FhPmPA+023waLzsZqP4/nkdtiMMZ8zpHqiIuHSxCFYkxh4zntiv0jZjy9/nD4GCPG23nWjx49isePH8fTp09jdXW1zI+IUf12wv9Osbx3717ZOE9aAdckDSFiFJFxdB4MiBPsfUrMW57F+vfGwSueXKatax6RjVlO7HansxnGzCu7aPNEcc4rFQzm5+fLRKAtOWRrzyizM/Pz8yXfant7uxRYxxOGaWXhAeCpokAYE6NO4W0URa43SBtQSoRDnfvExHBi9k2K2ajMpGYlwqQzgEVRMQfItfOOfj6bc44ZD8DC6elpcVSmpqbK3xgtitubxeMzVKTwyWv5JBkYOcbEx5dubW2VOUQoEqbAxypyHXuaOHAYGPcRczazZu9LakY6s3lOrzF7wNoF6Pl4V8bRTIDBISFn1oDnDKAY5cYxyjgJsGzkFDunyikEVDnY3t4ujuX6+nrZfMkz2Hg6jAoo8EYLfuin2xynDKwMXL0ByZ/LzjrfRb+QNkDZwd3d3QIGalEWs8w1xyuzwNZvBs9tRIJBqgEl1+Ketg3b29sl9O5Si4CF3G7YdP6mfyOiONe1lKmbktnZ2QLwEOYtdg7ihL0PzvkjPcn5/ZAk6DgAB5E+H58Ma4cjENEMweexQ1+xYSynCzili3WTS+p5LkbEBQBrcsssa3a+ak7cZTLJdeoNjMYSxjN+FtYAbbIexa4auGKPIFdOTk6KfVlcXCzOCOwl/c/Y1d5zO8Bhi4uLhZWn4gVzChvtqjLoXfrXzP35+XAv0PLyciHcrI+wCxBbEcP5Z0bW/eIoH/m34+SdmFcQeaa/HWJyHpKBbls4ulZyB+bMEwXgTCgJ5oZ8Cnu2XjAGaTnETXgYMMT53gcHBzE9Pd3IJSL/iM7OuZ0AUCuY169fN3bHmrE8PT0tngcKF9bVidY3LUxIe95tAKtmRBlnlC0pEj6EICIagIg+dOiRHBqDvogoBpddl4BSh+NhZahKwdzxbnlSHVxxwDmybNRDSXv3J7t5YfTzBkUUWt7N7DluI5FzpW5baiys127E6Lm8uQC2ACDBxh8UmPOcAfMo5r29vdjc3CxjDAC1o0P6BZEKDK3TSFg33AtQOz8/H5ubm2VO4MysrKw0Tt5i7Tt1yXmvb968KXqtxhrmtTEpwOP5k/WkIxiMVy1yYp1MjVE2DXHkK6CKtWr2NYsBoSMRrqWa2wRb48NsPJaZXKDt6Aunr2A0cWZdscZRPZ4be8K6zO2rgaVJiO0jws7tly9flj0WU1NTsby8XBhYQsMO93uzovUbtgT2C2aa6zply+XvADVEHGEHeYWMIF2IdLqIUfQll8WrsZARzaPIp6amGoC3xqK+D0b8MjHRgxOeU+6sI7JT6XxXM522R2zU2t/fL+MA4eMN6ehgH3LkKKGJQMgwCD/0LuQZmGdra6vs8J+dnS1ziZSWpaWlQu5tb2+XyEHGa07PZH557w/Mfs7/RV84De8yuTZ4daI8A5aTtiOaKQRmZrLRtEfpMDw5p0yUiNE5wrlcBxMql3hw7pPzFu0VeFI4lwh6nMmWB945V85DceifBX50dFQ8JvqN+7JRJIO9rHBvWvKGFAOY8/Nmncc8xhisiCjPjyOBMwBjwDUxXGZkyd9yWoDbY8YFhg1wg5MCy50395mhog3ZSXK6gRPXcTJcGSFilO9txoIxy4ck5Ll+m2kDbWzvOPYVYdxzTlJElLDU9vZ2vHz5Mra2tuLNmzeNcOXi4mJJzt/a2ipHxbKp8e7du6V+JYyRC5I7h84A+PT0tDiIESOnCSPPeLF+fRrf0tJSuQeA3CcOcR8b8txHlkkaV6fuIMw3b1S0s1HbkMbna8bRuY1O60JHtukcA2JCkhGjzW/oWpxUNlfBALIm0HE51Ey7vZkInUCkhQo0sPJ29tGnEAGOZPlzAH100qTAa0SUjVbI8fFxbG1txfPnzxvhUm8Idv4/z5E3WAEU6GsTORAuAEtvpjLjiX1mXZGKYxtLxMU1hbHTXN9Mm8PimdTiWT2PAWh22pwqEREX/v8+QK6jCrQpp6H4mf15E3k18GrWFfDK2qSfYOzfvHlTCDYIGxN1EaP9IswXCDKAJDaY8P/z58/j008/LZuyHjx4ECsrK/Hhhx9GRBTMk+vBkmZJdBKd6nQe5hLkoiPYXocZ0NLGcXJt8AqzwkA5lOV8uYhRuRqzHfZGHVK20fKZ2kyUvPMZsIgy9LnOhI9r7Ku9bYcoMMyAIfJOAMX+HwPIdU19M3myssETznl1ZqTpU4d2JiVZQeAk8MoCtCHwOMFUofTaWBDGj+fkGRnrnZ2dAoTYhUt/5PQBjhhlfuSTl1wCyUraAJaSJF50MAivX79ubAbBiyU8DlvnXGXv0gfQO+dpkobxKjIOvJpRi2iWLvGaZSxg8ba2tso525zZvrS0VJQXRcdfvXpVTnFaX1+P4+PjmJ+fj9evXzeYgF6v11CK5GixS5Zdq4SK7RB5XhG6gmEEvHJ6D581A2IgZYcxG6HMqEzKaFpPmc2xvjTLnxV/W0iS+W6GxDltJiVsCGtzhrqyBog4q2a4ydeDJaVtthXu04gm6J6dnW2EM72JC7aHNWcQaAaWZ0WvYYQzEzsJqUXNyD82OQBTTcUO54P6Oazn2GRnIob5TISKz2fg7qgpYBkdzSsRF9rMvMEGWt9hl2HLuI7nLP2PXs0OTw61Zxbz8yLGD6w9O4y8em5lYJbXDn3q/Rg4Jdg5+nxvby9evHgR3/zmNwvgxO4ZL7j/TERwf8gjdPnf/Jt/MzY2NuLNmzcxPz9fALRtgMk+9IAPS8GOMl5mXllz2FJjIIPY66TxXBu84p059GNwkw2hDYZzYfwdcmfyzsWsoL3jzuHJ4+PjwriQ+7i3t1e+zyTyq39HQXjzBgvOye4MFGDU+VYG5zwL4PXw8LDs0kS5ski9iS0bxUl7lgbK2dPlfYfGzZAz1nwmh5i5fkRzpybMCot2fX295Bg7DO20CuepUkzdaQCMHfPJwLVNWLgRTfYqe36MDWJAzD0Bw4An5kTepDgpIHuVcC/GJIei83UMAuxsmimHef3mN78Z+/v7MT09HYeHh0XZATI2NzfLCTGvXr0q17h//35ZRzgHGF/nmmLo+T9glzAm/WywAhtATiFK36kr2WH0WNaMgF8nDV5z2onbkfMEGRszdV6vTl/Kx+lyL89vDFLOmfPz+t5OC8uRB1h10kkofeMQcn5mxGAIgwhQ8sZYAygbQusaxhRdcpsRELfNgIz9DeT/sSEY0Ml3WHeZ3HHZwIimowKQMaCAUPJGU+wXjh/Ogdc+90fvO62PtjLOBtL0b86rBUCbBbZOAlR5jY0bK4Pf2xDGkbbST9hyRy5N/uRIL2y81yjOJfrq7t27F0qaRUSpv0ruOiF82z2vX5yi+fn5xvoAOJPWhR1+/fp1yU+lQg/pIwaaEXEBvKJjmFM4ZYBXz9cMXrO9uYq80wlbGfA4DGGj4p9Mr5u5cv1OMyHcLytClxAhfEU4yV45C9FUfw6p1piN7Pk5tOjcIeeb5Rxge8uAcVIHHBrJg5i9kkkBHoeQPJ7up4iRkXHKgHeao2wYJzO69lLdL86bfPXqVbx8+bKxQQ4myDvKbUAZi5zX2iY2HhaMNddyKgQLmFJZsE2Zic4pIs5DA3TZ652EjAOk/P8y4OrP5pBYxOhUNafWUMAa8LS8vFxSbVy3kJxlQCfXB8zu7u5GxHCcCVPSr6xlclHJmXUbc+4xxsCgDaaqDZhnVrONdeV10o6IwSKvGXSatbPDx/Pk3HsDVxxOpyuxnvhcDuVmHY6Dhv6mjWZp+DEQ8udtD7imv+Od2IQec95nBjw140dfMfbZFk1CrBsNniOilBuan58v68gVUnwN6zvbE0gW+pbIFUCTPouIUoUDW+rUpmwXI5rzzeCZNQV45RqunuP258gXtj0D2BwVzQ5TJlra9NykxOvdzhuOME5GRPMAl4i48FmvhZwqia7Cmch4yDqAiOfMzExZUzjqpNucnZ0V3OHnyE6RnZ3T09NGLivpXnyf+cJ9XLnn8PCwsTHN+ayer9nO1LDiZXJt8IrkSWRD4oGqMYtma+l0AKFBFQOP10gNyfn5+Qsba8zi2POgrW53NlRIVtYZMJmZyQxENoY1Jrm2aaBGnfPcVx3EdxFCSVYK7ocMdjJYA6R5kUY0QyaZQSIFY2dnp9She/nyZayvr8fW1lYcHR0V58hpFSw+9z2vgEoWIwaPttAOxoYfjCSbjPAQOd1mcXExpqamGl4lfeN7ma234gFs5TZMQjIrNg6YjhMzGfnH7A4hLsrJwaY73BzRPOGIPmEXs3Pz9vb24uTkpJEWYGONU4CBjGj2J3MDfeLvZr2AUrWDmOdUZu4zeL1KX35Wyforr0/ri1rJOQyjTy7DcAAMXe6QscIAGXi5z6zbYe/QUbBqOJ7e62DSg3XB3HKe7507d8oGPuYCR4Vvb28XvWUSwTo1p4Shg7z3wsy7Qdokx9GgASEM7ChSdqAYl2xP+ImIAlbRR4ARxhzg4YoGzBm3MTP745z+GvHTpnf8/xwl81yIuBh5yDrtKiB2EuI0D6+LnBqW28d3HfGx7fJeH+wHTkH+Powt1Y+oZgGecU44ESu3id/9HP7dTnwen4xbIprpkSYKqGJgO2uMlG2MAaw/e5lcG7x6EfrGdDINZnFkFpGJyKJkYRoY0oER0VCUGD6fI+/BgDEDBNFee0KZaczgO0+yzFb5fv6O6XQDcytZg+q8WH2tiOYxvJMQmKg8qWlTRBRjZ3DgMSOlIiv/NibXYYoXL17Ep59+WmpOUgCZUHtmcHw6G/m13uVoltsOksfJ5TkAxbOzs6UoODvUKd48PT0dBwcHsbm5GTMzM+XaGAjnvKJ0XJqHe5MrOykjmedoG/NksTGoGaA8dhkQOfeYUKGdsAwc7t+/Hw8fPozV1dVyghC1/0j2f/PmTaMUVs6jtwK1ZObUa88l02BuMyirrfE2o127/02K522tDZ7P9K3DkQavGEZvsGQspqenSxQLJ8L943tl3cgaBPR6oxG5qtbVCwsL0ev1yvoByGYG3CQFpXzOz89jZ2en6ASz9HnXeo0QwEYYsJkZQrdNWtrmE3PVjLQBuSOUjCMg1ufF5+thb3BU0HW5NjWf933sjDh9Ku9fyYxpjf3OusU2JBNINaeZPuC1jXCZtGTyw3afNUcbc/pRDoubQLPdQgfynMZSlCrDDj548KCRDnV6eloq6HCAC+Xw3MY2m8j6YM6gx8fZEpyRXAUDpjY72XZiuU4GsDl1bJy8U9pAnqhm4NzhBnWejDx4bSJn1oN7+rhIH8d5enpa/re8vFwYGnsxDpn5h4HPnpTBax5ALzSDdj+jDagNcG3BtTGvZjsmIYDXiCZDybPxtxeHARrPk9MsHD6x4wCDQikjwCtHVHKUr/uUUJcNLEwozJ832O3t7UVElPnk66C0XWIHMEzO2bNnz+KDDz6IDz74oBzHRzFmnoENXwZULkHjuZLn222A14j2Qvf5MzWghtOQJTtktfJDeS7T94AbTrRbW1uL5eXlmJqaKjtoPZcya20wxWtex/6+Xw0OeD+D7Gxs/cxmfSbNtnJPA9gs7mcbB+sg1iDGkLU+NTVVNsbNzs42TiB78+ZNATUUzEd/Q0Jg4Nh7gLGjMDpnoN+9e7cx1kQxcsoRdsK6kzXPxsnT09PY2NgoxjmzSTUAlOcg9zL7wxyfNHtn9rK2gct20ADWucGZPDCA9f6MzJziUHBSFj8LCwulwgCpGAAph3XdV5nldz5vdlazrc8RjUwgITXg6j6ofTdfY1JjSVQjP7MBdk6DtGR9w3wwweWNeAa+zvePiBId9BhAAnCQx8OHD8sJhGb+6S+uywZGnJuTk5NGZGKczmPeYBc9d+3Y1AiN7GjWfi4dk2uOYWFZQNIGoDlEWmtsbbDzZonMmuHtAz6oJ4qRoxN7vdHZveSQOMSZy6gYUOTcizw5/Z02RenPX+ZhWuzNWdk6JHfTkvNEe71eA8zzDIgBQjYaZm9rrGuv1yv1Dbe2tkrCOccb7uzslJJhLKwcwidNxKFrKktwvYhRErnBE4dJLC0tlQR0ktABr8vLy+XkkcePH5djfaempkp4b29vryxS/ke/2WB4XjB+zlualFwGtMyq1oD1uHBcmwHJhsbrnHU7Pz8fp6enpXg6oOn0dLQzGmcAMGPlVzNmGbjaMXB0yMYkO6tXSc2pGcNJgp0a08qr25l1ajak9KnTOajw0OuNjiBlbeFcepMPOshEBBu0KK1F2gdrCfC6uroaz549i2fPnsXS0lIhGnAiIuJC6SDmDHsbZmZmylre3d0tu6CdW5jJjlq/RMSlc2kS4rA8QKMmNSBDWlImBhzOhV3ndwQ7BoO9vLx8oe4xueUGz2Zec3oca6aWklF7L8/XrD9qtv66wNWf8eskxCRWjiLn8WPtZb1oUMaz+HvYlojmoQ5mX6enhzn/3Ie2RQxtH4cukV65vr4eh4eHhRTLzk3OS2+LRPk58vjmMarZf187kxH5XiYWx8k7VxugIzLqhu6u/biRHjwMe62jDF4BHRSxhYLmc/fu3YuHDx8WcEOImvDW3t5eI8/JRi8vwuydm8UxWDHgtXeWn/MyD99eSkQ0jOskJHuGtUmVgTvKrQZyPPEi4oJyev36dTkhxz9ssPMzM9YPHz6snqlN7U9CJOTGAVwp40Vo1CkBjx49Kgsc9pWjEH2s4uzsbDEOGGqegxxNgLYZHZdCy+NXY15uWvJa89jUxmockzHOKLSBBD6LwqUG8Pn5eaMO8NTUVFlLjk5kYzbOAGbHMBsIvpONZV7jtT67TCZpKCNG/ctz+X3uf5kRMLDHkUNPckzkyspKPHjwoDCjhP/4jsvrODqE7qWqBJ8lbWBtbS0+/PDD+MpXvhJra2sFNDvHEePpZ3IoMyJKoXUqFjjsWJvD7qcac2QHe1KgFcHu8Ly1OWO7Yvbt5OSkPGttbXo+Y48iRpuDOGQAvQYbx34RAFdOM6Cttf70q6Vmt2u/X0Xa1mKtD/L//XrTMg7LZMeD/nSqU629mXHnh/7PpFdEk2SjL3jPTCq27d69e7GxsVFAsa9XYzgzJqsRFY7y1HRtbYysz7MT7u8aY1wm7wReaQQ3fPPmTUxPTzd2bLexi7VJOM6DJvRBqIpSWd65ze8cZwaI2dnZKTl0zuvhnm05NzZoeZLlzs0hqpqxrXkiuV+4Vh7kSTGvDsvWPKIMdMalPvA5OwPZm6c+KGU52KRFrisAELADY8APSnd6elTLcGFhobD/rtfK/TkpZHV1tYQwM3jlhyNIYWR7vdH56DYYrrl3fn5ecggJjWfmPucbTVralHx+PxvF3D6Pf2b/DP5QnswZA0RCwLB/7HIm/YOTnyiRRqqOpS0sZQBiL91tksrMvQAAV3VJREFUtGLMa/CqoLW2FiYpeR22GU23p9Ymjy9jBSicm5uLlZWVePz4cTx58iSWlpbKiTsYX8Br3p1v3U+d5l6vV76Hw0LawLNnz+Lp06flmElHIGgX7SWawT3ROWwqQ8d6s+m4MbEOz/1lJ2lSgv3iPoToLYTrM/CxfkZq7fecjoiGvYTsgYkj1WNqauoCQHFUwnrLayi/GugCegzWc1/49TLJdrTte9nZvk3wmgEXOgocxHwfB7hr38eR9B6D/f39krZzdnbWSBlB1zp/lY1kjMfe3l6DffVz0RYz7zlqzGdraUrjMEpNh/H52hzD5l5lnrxT2kBWOg6NjqN8x3lMNU+PwcKTcH067mdly3cIBQNynfd6dHR0wbPJANasDAPXFoLMaQPvCjYzQKh5KTcp9tatHLhnZm+c4+jJHNFMUs/OwcnJ6PCH7e3tAlxdHqbX65VTmpaWlmJlZSVWVlZieXm5pA0ANmFfqSdHLdCtra0SUqQgOqc+Yai5JmknhDq9iQHnLDMh/Hh35fn5eTEGGP/smdoBmjTwaVtf+f02A1j7H2LA6ty3iJFO8HOaQWfdMF7b29sRESUHmoMOACyeT+RuAnrb8uPRQ2b0rpK3Na6frmIwb1pqDvQ4ENs2dr6ewWuv1yuAZnFxMZaXl+PRo0fFybfTmaM/vi7r+vR0WFYHo3l6elr6n6oBRMsiRnWendNptscER2Z/auHm60gbcJ0UgD05OWlsOL1//36jZmdEXCi/OO7ZLnO2cJoB/674k53LHC21w3eZLcv9aEKHdBPbzlp6gVNFruJAXtWRmzSbzr0Qz0sDvpza0qabjZn8c3x8XPZ2bGxsxN27d0sU8PT0tLHBi1SChw8flo2OkAZEoHMaQ60t7kM/F3LZGLaNSe37ERcrKlkXXEXeqdpA3mUHYnZeSFakNcPQxjraAHmXpI82c/0/lCjMHcBkYWEhIqKRs4jSyhupaINDY7B6tN8GNYPdnANkhZCZoHFSM16TkLYwm0NcNSMS0dzYxQRHGbqmI/c5PR2V8aC2K6cfnZ6elvOMCWU+efKk7EiHMcinqgGEMIywtbB3bEgxEOZMdIBw7fz1iOaZ02Z0a+XcrHzaGDD356TGEhl3nzaAlsGQjRyfYd27MD1MKgCetpyfD1lU0jEiohhsn2bGQQKnp6dlN62dUTsQ09PTFzaKWdHyOwydc7kwpjWG2CGxq8hlbN9nlTbQWns/twnxd5wzR0jSuW5mOrMOs/OV50R2MmCc7GjY4UNHs6a8gRYSAvDqI4PR27muq+fmVfXku+jjzyLU9qaqQ6/XK/Vdd3Z2ynPkajS1NXpVZ8Zi5w9nH6Yu50MzDyIubi6iDbzaxnOfDN5q+iMTQ3bw83zO7GDNzvrzfp2E5HtkG5mBH3O5ZhdqIC8D2KOjo9jf3y/A9fj4uHFAC2MKUzs/Px+rq6sFd6CjfXT9+fn5hZB9HlcTUn7mGrnnFMerrCd/Fz2UHaXrOKbvXIfpKosnoj1Ukyeyr2FD6dJI5Gzh9bNZh12ud+7cicXFxZLbiAfCLkvOYudetXw5K3YX9c4KnM7NCyovtHGLjuu6T3MfT4p5rd0/sxH8z55YRDTCxYBbe/IuQwOQ9WESbNSCcSO8/+TJk3j69GkBr3iRtZJr2blZWFiIk5OTkl5A9QlAq3OlmUuu/YjihiV0QW4AF05LdnLMVucQnPtxUso1j+FV7zUODPHqeQ4IcsmyqampBvPK5834sOEGALK3t1eOct7f3y9zyGfVe505FSWDVTsQPJMBWQ6jRVwsreXokftmXH9PknnNIXozHTV9WQPUfD7X2zbgYM1S3B5GztUzIpq7xZn/vV6vbNbih9Pv3rx5EwsLC0U/s07Q2RzzbAKBjUfkqS8tLZVNfevr6+U7nGKXx3ucbvVnailek3Qqp6amihN39+7dxglE7ASvOYttDoyfI69bz2vADSfgAZIdufR4en2wftoIJrfD9tHzxKycwYkrEDlC5TGr6bDsVFlq+u+mJV83O7wZ1Ges4LH152trGXC6t7cX6+vrcXp6Gjs7O4UswJ6ysXJ6ejoWFxdLLfKZmZnGhmOX3DTopA3ZmfB4tTnG1kO1eennyd/nu20RsjamOsu1wasNNMCk5jHWvJGacs0hVncGBhImlfwhWJuXL1/Gz/zMz8T6+nocHByUU37IN8FwwczNzc0Vti+3i07NtQet1HMOiAcse6lcz7lalynLmsKaVBgEsJHvXQt55++ZecW7dEpFBvNebBi6g4ODOD4+LukgKysrsba2Fk+ePCmllChU7rGAyYwYlRHBQYGVxViQcsD8ca1Hj7PDomaSXRTcFQa4T0SUa9InMBu3KTXFirSNo+dqzbkCUGYD5zQLzjLPVTFYuzMzM8Xrv3PnToNtcm1AFLKdSPqZHey9Xu8CAK3lBnodkwPmnEl/dxzb1dbHk2R3Iuq74jPwgkGzHqMf+L7ZZ+Y5z45zxnqMGK4lctNx1mx8fX2uGxEllz2fbnjv3r1YXFyM2dnZAo7ZYLm5uVkqd8AAAphnZmZiaWkpHj9+HMvLyzEzM1NCp3t7e42z0+mTzBpnyWyR9fGkHRHv1yDCwzPzDD5WO499jeipMZcIcxunJCJK2tz+/n5h4lwIHqBaW4O5P2s2L/cpv9O309PTDT3CmJmQsK1tA/Pun4hm3m3NgbtJqZE8bU5Fbme+xjjHlGchbeDsbFgCi/rnEc0j1ol2Li0tlUofpADx2V6v1xhr+p9Ughp5kUm62vPSXo9nxg55LOmbTCwYwE4MvGZl78VSA7Bm7WoTOJ9OxQNivEx793qjE7W2t7fj1atX8fz58/j0009jb2+vMDx47+R2YcgwZrWTJ2rgzawiYctxKQMZBJgdtHKyWGFwPa49SfGGt/wseSLzP57H1zD7mhkwvu+wosN/KG5Y0tXV1VhZWYmlpaXGecoeCxsc5/pERKkyQAoBzC0pAVm5ZmCXF6yBgXM5mUeMsVlGO3M2QFzvNqSmONs+l5Wu+9egJSIKGGUDCGDUY+TPAW4NYKempgrTRhi71+s1GHHGi74kt5axjIjqfMvKlLXnA1MiRgDOIeismK2sa87BJAFP/jk/Py+A9c6dO0Uf2TjQHw7JuSg/48qGWjbLUSHg7Oys5KWTi25dTzSBsSUicnx8XCIpW1tbsbe31yANpqenY2trK16/fh0bGxvx/PnzePnyZQGiNsRnZ2eFgNjY2IiVlZWYm5uL169fl6Lrr1+/bhRAN7NsByrr9hrAoE8mRRA4coTzdH5+HnNzcyVXEeBB3XITHHbScz6rfzIpFDFKfTJxcHBwUMqQEYVyGTTba/qt5vTafkdEmWOsXa/fiGbExEC3RhTlqEsGivSNQdFt6dfa9Y0bPCZtpaf4judizlFGLx0dHRWH0m3wJj/SJcE/kDaAXfBKxjc1nOG17tfcZuMbHDRHMDMZ5DnFd62bXKHHfXqZXBu8ug4cjRu3O9J5HH6AiOYpUjkswKBmw4NH6dAjYSWU0eLiYjx+/Lh4LNzT3h5AwwsgewEYOVcqqHkifl7uhWLyADmcXvNsaqCqbfPbZ5XZ2dkLz1GbyFY6jAfPkNmsmsdk58ahd65H7V7AZmZK3RbYfpTmnTvD40bPzoan/LBBgnQRA9fMZNWelf7I8xLhf5lxyJ52ZgInLbU5yPtt9zewzkqUOefNOxGjOqHUWl5YWGhs0uN6MOLkLaLcbNwAQGx886lKGFWuwXGlZh19HC/3zZtUnJvreZs3R7jdtbVQ69tJi9sAsGDzqRV9ZpHdT7B+6E/CkTh5dsCOjo5ic3Oz5KMfHBw0QsK0iTXHIQJnZ8NTrzgLnV3NZoBgX1++fFnAq/NecW7PzoY5y/v7++XI07m5ubIpDLYW3YCB9pqsjVtmjWyIHcm5aXn69Gkp7wW5g4PB+rl//37ZpEr9VeujGtHj1La8OxsbB3iq5aNGRImicH3mUt40Z0c+kxi8xwZpfpzed35+3rhvZl5zRDITIQanSHY4bkPHWrLNNBB1RQADPD9fRDM1kgiTD4DgGalQkWvyOk+aecEacXqNiZfc3hpbmtdI25ryOHIIkI+FZm25ShNtcD+xhnPU7yoO5Tsxr7VwUg28AmhyLVceAGWVQaUXiT0z7usTKXx+ea/XK2d5k3vlotj2GjywDod5ImVQ3ebp84x+fgbVG42YyG3ejRUJn5tUbVDKQdUmqL0lb1ijXRhTh+v4TFZ4DsHzrA7pwuKxqcHnrWc2wKAfUARQYsHzt9MDap6vFbTf433a5/ln1jZX3TCAs6cZcfHkspsWQFl+xpqYzeBzOXRlJhqjx/p48OBBLC4uxtLSUmHCXMEjs5meI677SpF8dsICimBf+Rzzx7mRlNdiIw+AwM6uc+UBO9PT0w1DblbCbFAtHOv+uw3JjJPXnFl+jxHOGyAzM2Hn5+fFGDI2zNO9vb0CLl+9elVykSNGJW1Yc/Pz87G3txcLCwsxNTVVWNzDw8OSBkKOXsSQmTs8PIxXr17Fp59+WvLd6X+vcedaHh8fF/IBXc48ZJ54bK8KXG8L7Hz00UfFvmDEsWtsRHUtVkr/MbYRF8FrZqyY+wZLNfYLIJtZWq5tXZgJEzv9rDGTF+w5cDku5hi6w2Pgtco1rN8zW1dbcyYz3MZJiUkM7pfnlm0DbfO8tO7lc8YI4ARvZuR72KXcB7lN+X+ef2bpPZaAzwcPHpQ56mhZnku+BjqdVDLqsdseeHMgczQfduJxvKqOfeec1zzZMrLPXoK9NSP/nJeVQ3Y8UFY6BkrjJncGEvwPQ0j4ErACC4j3j8JnMxi71fEuYYEchqxNTKcOuG0uEWMgaM9lEoLXbUDPeJqV8v/53eVVnIeYgauVNv2DYSVs5WoCXiz8tHnfKEC8/sz+5fAvbfJ1/Hv2/GpeKfe1c+XFVttZyn0mqVxrzERN/H4GR1a+rBc7pczpubm5UoOXTTRcC6BJiBKWlHUN0HAuOwAU4BIx6kfuFxElfIY+ybnTzKtc39LhUTuOzGGeP7PtORXifUsOeTPmjI/1T8QoHxzd43w59NrU1FQxlDs7O/Hpp5/GN7/5zXj16lXJU/VcB6gQzjw6OippB7A95CdTBg1mCGaXOcOYZz0POYFT43zyqampoi/M8rUB1wyaMuBAJjXGz549i/39/ZJHzFrAcePEKxx3cvzdLoCOwStG3zU5DYhyRAzdOD093eg7dG7E6EhtdLXv7Xln54g1ylom0kWbuD863ASQ22nnO5NKNeLBY2byYZLSBl7ze7ZdbleOTGI7XQbUzGXGVH5udCCbHO/cuVNwSa7KlNlPRz9nZmZK2t3q6mocHh6WaAmnUXKSKbrCFZocYTP5xNxAL3FPUhyMj5wq4369yni+c7WBPGg5FFtjIvHI/J53fOfNBQanBiR81l4oobHMmNE+xMAV9mZ+fr60wzueWeyA14cPH8ba2losLS0VVoHrwDrUBhWWwF61WUkz0uSpoMjHHSv4WYRJY6VOmwxqAan+McteA6/29A1e6RtCae4fM93+iRiF4a2omAeMscfXYYfMMubPZoOWmSBHGtyG7LjhWfqzZixuA8BmcDruNYOG3O/ZSNDfc3NzpT6oDxjAgdvb24uNjY2IGJaos0J2JAPFjVIjepLrTxJKjRgBL+dmct59r9crZYkA1z7H3cDYuok1l53o7DjfNojNUQFea+OTHc6IJrPiTWuwYczV/f39OD09LRtgyV/lEA6vSfJtPefRV/v7+6WWdq/Xi4ODg5ieni66jLkBwLVxdmSC5wIgc38YX+afT4tqY4ayU5aB/zjy4yaE0n0Y64hh3vbq6mo8efIkHj9+XE7zo4/9PIiJHggRUjZwNh3CtS61LrSzT5Rjenq0l4M1yJ4QA83MmNIu1rFTc8y2eZ9ITqUzYdXGvObIp+0CY8jrJPWr2enL5ku2Jfm5eB76zjnI9+/fbxxm4eiJ9/24VBYOEeUlcYJY4+Q8RwyjIBzwA4m0trYWJycnMTs7WzZwUnrr4cOHJQ3CBzDgjGTmFfAKrvHJY8wBnp3nyoRSHuPWMbnuINrQ40kiDAyLxbt5nYjcaEDyKJnUgEyMGaDKA24vkhQEQtAUtHdIhTaiQGF28ODJ5zPLtLu7W5S0yy9RLJiQGZ+zR+MBxXiY+cmGOi/SiMmxAhgyG488NixAwq0oUYeGc1u9QHPOTUQUB2NmZqbh/Ttc6AmcAVkNHOY2Z+CV//Zn/Z3s2MAQuYA44MAOhist5JCbmdpJAtgcibiOUc59nh1R/89H9y4vL5fcSDZvUc1jf3+/rEPmvxlAyt0dHBzE/v5+I9LBOl5YWCg71iNGhxpQbolQNQzUgwcPYnl5uXGaGt/HQGaQ12ZQM2i9Krv9WSWD0rY50wZeHWlyiN3MTkSUjZMRUYDlzs5OOeiD5zOrl++NXoTRgQni+nwmYnQ6nfNcfa3MdjtdxXnSsJY+dQ9dY2eTa5s1runVWmTupgSwiD0zAZKP5jVYy+SNnXVSaiA1IITQq7Y1TpkyuDXjBRChFjrRjYgoAIPxyXm3Dv17XeNgUh6Pcczh4kx8GOBlJzs7Ie6f22BfaylsbndN9zIfndZjMsisNT9OBwFzcLQvLCjrjWhHRMSDBw9KhY4HDx7EzMxMwReMLRHeBw8eFKf+/v37sba2FrOzs7G6uto4OdJpAN70h56GiPJGWzBXDbwyX3l2dK6Bvtnry+Ta4NUThwE1MDTL5sRjgx5PMia0c9TIV2WQ8DAMDDGgS0tLcXR0VAYdxsVeOcoYCh0l2+v1ijHOhpY8HhYzAwUYjRju2N3e3i7HnDKRYKh8TQyjQzNQ//ZOHSK7ivfxroKyYdwY04gmk252kvHHITDg5vu1hYygQK34YE8zC5zDB2Zq7KW39VEbc5Y9df8fz3Jvb6+MKwYdY8/c5ho5gT4bThYjz8cO/JuUmodfU+zjgJDD0rU0GzMnHKf76NGjEhI6OTkpofzd3d149epVWdc57ztiOJ4wPRw2gqHzxrDFxcWYm5srYautra14+fJlKZ2EsqVqxcrKSjx58qTUCga84mzjZFhR5shPDbx7zkyS5cmsYNsayFKLFMAqw0gTct/d3S39nctmoRcz25t1PBuusAE4bgAf2g8T67C0jT9OsZ/bINzs3/z8fCwvLzdOysP45U1Jfn5AVxvzOinwSsQOlpNcccA3IMP9Z0fB65d+oHScGe2I5h4LAwnrW0cXIqJxnOn+/n7DeQEsm8mH8ADUsm7QGcwLyJz9/f2SQ8nnsfF8zySHdZf1qPPRHVHNQHKSYr2YdWsbaGVu56N/0TGOzuaQP3qQo5afPHkSy8vLxX444nt6ehr37t0rlQbAJxAE6GQcR/ATaXsc3pP3JkVEAygzPwxEjduce846Bue4QoodISISXrN24MbJO4NXpKZc8STNRjEgeaLxIA5nsLv47OysGDaYGRLCUWTQ4eTYwYzipTCINcCI0TNtb/YXgwhIYuGcnZ0V4Mpxp+yEdTjc1/QOPDN81FQ0Fe8NEpMykjwHkyazmowtYxQRZYMHk9MMj9tZu0YNIPlvpC10Pe4n37sG1Nzm2nfIXSYkvbm5WUKoNvZ4ncxPDGZO/8jPy1hOArxa4WcHwlLrE/c7BsLzgGeDxYF9XVhYaBxtiYLj6FwUHAbHxjQiGooN48kOWTuVlEzDkDI+bPoB4MC6ctDF48eP49GjRyUliLluJ4M1ljf4ee61sa+TNJjZMGYHzOPl6EQ2nDyf2fKHDx+WXck4HD5BLiIaRiViVGyfdhCKzClNbjfrogYU/RzZ6Jtk8DOQa726ulpY9fn5+cIkey6ZCOj1RmV50MFmemrr5KZkf3+/VNBYXV1tnBpINMB6NOeXZjYK8Or9A4wB89ghZu9gz5tv7LTAkgJOqB167969xv29byVitFGUuUAaHuk8kDlEXPKBQ7SF+WrwhGQdyo/X5KScD0stOpnBK+0xHoLYODo6aqQO4gQAJPPJj4BcxnFhYaFEkiACnWoFMcJJbt4XwJgQ+eC+RAUg22gbepLx5KQv6jMTcclVfdCd9IntI/PVcwk8lUmXq47pOx0PWwsp2oMyeAXtk99WUxSwqYuLiw0wB1W9s7MT29vbsbS0VLwTSozgdbx+/TpmZmYKqL1//36cn59XQ8BMprOzszJw3tThJGUv4IjhQjs8PIyNjY14+fJlvHr1Kra2tuLw8LCAk8XFxUbJp5x/C3h1pQQWLBMgswQ3LTZ6GcTacNe+x3cdejUDmkM9eTNexMUUAD53GXBFPOH5m3u39Vsb8+h8HhS5mVdyO9kcZODqBWrnzYaIvprUWHrs2pwQ1mROxYholnZjTB09YfOOTyVjk5xPI0NRvnnzpoQMnUNtZ4w+ARw7FxLAwTp36JV1g44gtLa2thZPnz4tJ7Stra2VfELSXjD6PBvMnJnXPJcnybLW5DJAZacIAxARF4yGoyKupby/v99gyB3yz86znW23J7P7tMuvOX0mP0N2WH0/7hERDfBNLWhAII7J+fl5CY96HjlUbla91p5JyMHBQWFXIWawLbnihckRAyWeA6Yup0ZkIiBivKPAmjs6OioMqfPHqTLhCFNm4iNGzicAmkMQTDSdnZ2VvvfhJs6/Bqw6hQ59Zh2ao3MRo03Nt7k+sw3JetYAm2fBSbB+Qd+4+gobwmFJzWAyFnxnamp0xC9EHGsIAoEUq+3t7WLDqAZiMu3k5KSkWzKfsIUc576+vl4Ig4goKTyLi4uNKLfnXiZTGLO8Odab17NdHyfvBF7zYJotc6I47CKeukMDXmgGrz7VaHt7O46Pj2NnZyc2NjYaOU4A1amp4bm+eB8YvV6vV4ChGTRvCokYlojZ3NwsTMPr168bmzzMODARac+LFy8K6wq7zIaRfLSp+yszr86VxRPKRvSmJRuKnCuWPUh7Rfn/Hn9/36CoZjw8ofOmCv6fjXkNxPqV38cpNDMvTiUBoNpjJQ+MEI1BqvvNbJdZskkyO0gGr+6DzK62fY6cOYNL11KFWWZOE7HIwBVwBIPjep70vfuffrN+YH3DIOXd0xh7Nliurq7GBx98EB999FE8e/YsVldXyxo2u5PTO2rhVOcJZsN0G0C25oy5DV5TzrF2v/KsPDt6iUgVAAPw4lCfdTjitcIczwCJtrmv/Bz5GfLf7nfGBgae42JXVlZiZWWlMFDsjDYhQeoJ4MdsZGaGan18k+IDWXCa2Njr3eJEMwAPTssyMGVNmGxwyTHecwoF9wGssK4JA3OEL9ElF763cE+Ar9MF6HsTTzig7CVxWJy8x+zAuqxljl5lQsNjeBtrM+vNHAkxOw5zap1zcHBwwem0HiVF6uHDh7Gzs1OcMOMNYwnjE+e3kpfKaXYvXrwo2Ie5x3McHw9P8drc3CxVL3AGDw8PY3t7u4BXmNter1dSukjRdJWMtvQlM/cGrnyHfmK+TyRtgIHM4slmJWQmxzlJLA6UzP3798tgu34rinZjY6NRAgKvmzwuTywWFAt0Y2OjHGQA48rnqBuJEtzd3S30vUNNEaMckp2dnRJWJvwGjU5OE8yrv8/zerBY7BhjMwV5gdykOHxmRclYZibH7fB3+bumXFhY3llICIvQlKtN5Fq42YOzWJlkA98mNebWDD+bh1w9AgeD3w3yfU0WqF/dL5NUrG1pArTL/clz03aDBzsgrCGXi7NiAezirOHVO/Tn+e3NPBYbMAv9zNowMGKtwbh++OGH8fHHH8dHH30UT548iaWlpcJOOF3Au5+5Vs25ahur22B4amAvAz7WFGvI33OfGYxSEgdnIxc0r43BVduZ25eBq9OL/B0/X17DGHfyRAGt1q13794tjggAKs/TvBG4BjomRRIAyujv6enpwmx6wxzMOPPRTLSjFrTf0R4AK8DPfe21asY0H9WNs+mUC4+dIyz7+/sNEJX3cESM2EHnVDJmThewHXQZJjCBQ8vGFDUQm5nhm5ack1tbp3Yu7OwRrY1onj5IVOT09LTU+6WKC1Gr169fx+bmZnE6cD4fPnxYqkUY78Ckr6+vx4sXL+LVq1exvb3dSOOgv/f392N9fb3kvEJM8BlStPju1NRU42ANb5xED4HzrGfBNjUyIjswjuZeJu9U59U/DkNmRWsEzgRnkntCYgj5DgOBJwj7ChA8PT0tRZ0BtCxqFtnu7m6hzZ2v4dxS7ndwcFB2w1Jc27mq0OF4NoTc8Hphe70TFmbAID2imd9DX8DaMsjehTfpfB4rgnGMpsfW7LoZPgNzKxMS08m7Y4xdk7OWN3MV4OrnqBnC2vPyXRZZBq4OS3vXZC2U5h/mldMGJq1UIy5WieB+Bs65z+wVR4w28DHXCVsxVq6lCnNCSHdhYaGAhpwmEtHcvINyysz1uGejHTzTvXv3yil6H330UXzyySfx8ccfx7Nnz2JlZSUWFxcLg4CixgHJO37NBtTaTF/etnheZSfIObxmsJnTiKNU5FoT4rWDBuOBHmTDDmJnJ6/5ccCPeee8Nod6DUiYXxGjnNsHDx7E6upqPH36NNbW1srY+hQnhxwdUWMeGryaYb4NwBMxIjy2t7cLowx7ST+Tp+hcY7fROpdnwo6YEc0RjOywAg6JbDpnMuebOqTMnGGNuB9NfGDHqYhAST3sIeCIcfNOdNrAeNScyqzD2hy9SY1jxj5ui0PxrImcDhERJcWRCAaAl9SB5eXlshGVzcOE60ll29zcbOCfXm9Uig62FMbUm8lty5iTL1++vLCp1uNDW6enh+W4cCgfPXpUjnKHpDP+IuJ2fn5e8JkPjDG2yXPZBMs4eWfwmhUaUjPoAD8vGBZiHnjYUJQrg8JO44iRAnbyOx4IuTwMMjkfTAiAlZE/k4vJgrIzmLJ3bxYOT4KSFsvLyxdqENq4GMRjSFHmecHeluTxavuf2WGHfVCU9GHEaBfx+fl5yflaXl4ueVCnp6elPIfDgJ7Y+aft/ZqXlhlZnsXzN29asEH3+IxTkm1pNM5xHsfmTUJqgMfPXQPcHmPG6O7duw02xmwq12c3NUoql07xQR2wO47CRFzUIc6Jyj+A5SdPnsRHH30UH3/8cXzyySfx0UcfxcrKSiwsLDSqjLBmrU8iRhtccr3J9y059cZMfnYSc4gus0N5k0tExOLi4oWNogYsRJLa9icgV3EUIy6yY5mNBdB63bAhN6eDYLAxsO4LkwL0lyuaWK/kNk1qbaLDAas8H8AAUDAzM1PC7gavdtg8R3HMPP6ATGwMgNB53t5L4jVYG2fWO06FdURmyU1QMHaU0sMe2uGoRUNMDLg2cd5EaVBzG84HksErfeS25E1IgMSpqWbtW7PkfM+bssAXvJKWRW7y5uZmcQjIqT45ObmwX8O4JwNErptT9sBhzjcmMkD0Znl5OR49etSoox0RjbQFH0RijETpLWMHp4qYDL1M3hm8+vcajW7jiQeHEcFbMDiks0jOpwQWYBPDt7Gx0Qh9GfQ4DWBnZ6dsttnf3y/5imZd/QwOj7ARxButWGze6cmCpWQX9dhIO3CYignr0lg2GjlMcp1BfBexEjeDYoWeDSjGwI4GytChAsp8YDBgF87Ph5t+Hj16VADS0tJSKYZMGCSPS55zNlYZoGUFW1NsDldhNFh0NurZqeB7GFyun+/n/2XgMQnJxiSHHd1vNUDv7+BsMLdhCJjzrOOIKGwWziOMizdVEt5/9epViX64oL2NbkQ0FKmdSDZ8oOCfPn0aH3zwQXz44Yfx4YcflsNDYBtxpOyUOJ/PYazaRp4chcj9Nqm1mdl6jyWS56MjBLzHOLIGAYUwYplxQ7gGbGyOvNR+0AXjBL1rZiWnKuH8UDiddJCvfOUr8cEHH8TKykqjZi8Oc47QeM3aOcl2i/6elLh0EPeNGIVEbfuwEawtO+w5/A+A5aAC60SvJ++rcA4lc8UsfdZTHs8aYKMdLocHcwgrZyLHBJOdYOtaM8v5VEr6hDZ4jUxav0ZEY97mqAzzzZvKTk9Pq4y/x4l0QwAsud3gDNsndBi4Z2Nj48JxvAa6RBJz9Q0TN9nG+jnQFZABlCGEbMIhIfeWZyKtkigOkTIfHzwzM1N0DOPJXLJOuEw+E72XmQBPeoMxlCQPhkfqhYmSdh1J50z0er3Gjjk8EcpRsRvZ6N+5illJ1wRvIGK0waPX6zWMAt4ytSizJ+J8WbOTzjVy3VozWPYw+d518tCuIyxG+tcLrGacHBJy+kbE6DQ1nsmGg8ULG0faAOCfZHUzZh4PXmsOkxV8G4A1GEChw0I4EuC5kuvuAnToq2x02xgJAw8UwyQkK/LMuubP+e8aCEORUF/1zp07jXxflwsjDGSjg+HxaVyPHj2K9fX12NjYKDubAZRmXaw8Aa3s1CayQZH3x48fl3Ayzg8sh1N8vPvZDK7Tgtw3k3QaLxMz9rzW5lXeAMFYOvR6fHxcDIJ3Oc/NzZUoSGYivdYygHUb3JaI8SDQ+iwDXQM6dOry8nI8e/YsPvnkk/i2b/u2+Oijj2JtbS0WFxdL9RcAmNcq7XDqiskAs73oCTuiNy1eCy5dZQfdYPT8fJSug2RmzERC25w1I+v859rGzssk61vaBODK9Wv5cZ6rT7hzxMu2medypMZ9ZdBY0++TZl/NFNYcpbzfwfprdna20fdO3fD44gBwD+c1n56extbWVrFPbLRyGD6nYli3ZpbYDqBxj/vXoPWDDz6IDz74oNSbdWSZe7u8Fjm+VHIiPdDpkLbdeaPsVebnO52wVRMrhohR0WTvjoSm5hoGOSwwbwTxBDGYA2zs7e0Vzxrw6h1+ZujGofncUfztCcf3ATKERlZWVmJtba2kMPioUwNfPGAoddfB5Jq1WrCEOW9aPKFrBigbKG+ucm4PeVs2KBGjEjcAHCdre4e3Q8uug5e9a8YlMwBWaH6t/c95PA4lZ+CaSymRxI6iyeE2K8+aocfYTMpI1pyNzNa1KYNauwE5jPvdu3cbR0c6ncKhXs8Pb+Z69OhRrK2txcuXL2N9fb2ccQ+oJDeK9hhg4txgHNfW1mJ1dbUAVrx550A6VcCFvGF22gxkVvBu021JdnDa7p2jNXm3PnqPTV12oFiXNeEzsCeshxoTfRWWpAawuAc6xHl/a2tr8ezZs5IS8vHHH8fTp0/j4cOHZYwBeXZCAe01x7m2DrJtmYQQFfQJSkQJHRHJ9zdwwQYYhLvfMvPn8K9JIeYLJSWZH9d9dtYnJBO7zmHlHM7O9Vwd7bIuiRjte3EdWG9Qo1+s5+2k07ZJiokoA3na77HIzjxrEYbUKSL0EVGjnBLj56UsJ8dyey0xlhn35HFmDGvMq3U3xxgDXKnkQslSp8XkKObR0VGj3CgglrQZl0V0qiTjPVHwmpUSHQR4YXLjOWBM+NsPxfU88ORRcB97PezewwOhDRloIg7jXuX5agoOA8HAwigRHnFCutMNaDNtxSsBlNpDs3dqBTYJycB1XN9YQYz7H4AbNsOsCuCGkDIeo0tn5NymtvtmgFb7XGZnnRJi8EpKCcoUAO6EeoAcP7AZXvTMmwwCDfwnlcecwWtmIvJ8bpMMLpwmYqci79jnXp77sOqAV5w8Nk+y2z1v1oiIcg1SiDKz4w2RuQSQT4vyTnrYEBdKrx1KkPs1/z1pQNt23TaG3GANVpK+dMQnIsoYwn5kZ8pRBhhy18dmDUU0nd9xTEkbc8x6NxmwtLQUjx8/jq985Svx8ccfx4cffnjhGFWnb7FuiWTxjGakayCxjUm+aeEYcQAsBtyMFToqAyKHyttArAETfeq54B+DCue7mkms9UuO4rgijtc3a5xwcq7u4BQG61sIK69LbAPrukYS+O/bYF6tIwwIM3A0k4i+mZubazCbHCDA371er1HdKG9QczrFvXv3SvoVdceJKhnktq1P95edIbPFRJRXVlbi2bNnhXF98uRJowRor9drbOgzkx4xciQdsYXQY957LgPmI8bXiUbeqc5rjf3yAsw5OdnjOj09LUDGeRAGxgawufNnZmYax3aaLauFNgx2rvqMXrgeAJ9UQ56rc0+sUBwmMFgi7Ao7YNYxolmRYFLgNT9rDtdn8GcAyPdqoSR7TsfHxw3jirLMbIGBoVngNlAYUVesFucDOozCDwAWZepyLWYUs3drY1Fj9K00HP6GecbZukmpAff8t3+uIvStQ+rMS7N6XvvO88IQwZxi5B4/ftw4scxr16y9mRhOoKGIt3PoWF+uUOKqEWzgoU2AiHEpA55PjgDU+vqmpQaOxwEvGwjWFg4Ya9DXABR40xP3c87p4uJibG5ulk0iLnCO/jJp0Ta33Jd2iFxKCWYd9g6Wh+oCGHY/h6smAKzR97XSWJlhirhYn/qm5dGjR40IpDeP5RQx61r6qrb2iHTlPrVDkJ20Bw8elPXmus0OS3v9uW/M5Boce55gC3N+K+3O5QjRt4AXA/xaHdhxc4q//ToJgTG0XnCqZMYo6BxORPOmcEg8bLs3FhoMmwgCD3HQA5vR7Vxm8i6DV/ebU72wUdbXpGeRokV0mQ1XPDdOpPcVmZjMVYQyA2w7fl15Z/BaA64OpTo0cnw8LIZ7dnZWdqCxS9lH5WWwkCcpSpdFyckReDE+lYLrmEqvgZy2CU+n2uhhhFmoPtItK0uUOobVXicGlevnlAHn1141efm6chlTZ2XGJPU4m1mOGLE2LGRenZxvJsSAmHyviKgaHLclL4BsNG1UM0DNm4QcdnQ4nPs4jyk7P6QP5D6zgXQOF3NkEuA1Sw3oXId1zXMCA0nxbeYmAMIbDObn5xvMbTZ2y8vLjVCvc7o812uhN4MA5h/jSE1npyPAjMASmf3yem0DqvTHbUptnDI4zAaA9ePQMOAgV8zg8zmczvhSUH5paanUx/YhL3t7eyVdiAiEIxXOBecVUOmxYK8AKSAc+QqzTgUSQqkOHTt9zLmDAEMDAdsA96GB66Ry0ZeXlxugMqcOGRy2OSv+PHo4g17bEjszgJ2Dg4NYWFhohOsd8aitP69hAxynebEh02vLtdgZq5wy58MZzE7W0gxsS2iXX93eSa5VUi2yHchzy+PGmsqbr+h/9s/Qn4yfI1dZhxGJevXqVWxsbJRTINmUxzjmfqOPrJc9RzK+8aY7R5ZZj+h/H3ry+vXr6PV65VnIc/Uadq5rjh4g2ZFqHZPrDqInT074zcwJTCLGhYkLS7K1tdUotIvHVqO0a94HE352drZ4IM67zGJFUAs/IPY2fXwbTCtsK54ixsD9guFwbqV3/mXFkFMGrsOSvYu4X2uspX83EIdNzSE5Fhx94DAJCgyFa0BvhehKBrArOafNEz8iqgqFvmdhEWLxaWZmD71b28rHGz1yH9EHNScOEOTSUSjmScq4+XLV+dSmmK2MM/ta27UeEQ0AMT09Xdaq53eNFc4AwwqO9YWStgLlxCh2uppJNGOb8wEv64fblMvAay0CwdrLTKKrf/BZR6QAD8xVmFDrOrPdlN+xHmcOeExq0QoMJpv4VldXS34rx/n6AIK8MdT7AGz8vanXIXOnurgP6YfPyvpcRZaWli44g22h/lqqGbrEYJU5b2fZwJjrAE4gXtCjdta9bnP+skO5ueRdZpKxX4BWrmf7l4Erc442AnjyXhGPPWOXxU7npNatHQ3wSo30cTsNEm3bmMMG8Hnfz9TUVKnKxCZL14J99OhRA8B6XXpPRg28ksaG8wGJCFDFgXRU2U6JiQuiXUTUwTQA11pNZsbLNtZkldf1OHln8OoJU1OoVgp0kE+NeP36dWxtbRU6/vj4uKG4AHMMZs0LdCkeaGuXAjHSb3uOmiLzouX6KHQY1wxcrVzy4JLnmvMoeU4PYFZ2k1KsOU2DvvZY2oPLRgmvMTsXEVEWqAEs4UuHkWrgFcCDoTJ4hbFncZrNtSIxqPEpMrWqEw7HmTUyMK/Nc8Yxs5u+BmDPOZbvQ2qAqG3t+jsZTAKSrGBcD9djcHJy0giD8cN8z+/XjEBOWcl5ejaQLgfE+LIbGvDqIunZeeV10gzOZeKIkdm1GoB1uwE+OGbO3Y6IsqPb1zQb6ggTDA8hfULDGEmMVQ3Aeh7Y4KPzfNTrkydP4unTp/HkyZNSLi8fNWlDz33QCYSdnYrgI0jNLtf6bNLjvbi42BhT3zczYCZAsk7KOsjAzj92yrxx0jmzuQasWVfmhcfOkRMD17acYpfhMtvovGk7wk6ZcyqaQXVtzuffJy3uE28OzwSQ+7AGYB1ZpJSfo64nJydl/ws/4KdMoi0vL5c9BEShTZKZjOEZcjTM1SIAr7lWvcfZ1XoMXInG2gH2iWqetzXnNiIu6PrL5J3Aay18FXGxwDaTlFqoeJEc07q7u1tAHqDT4C6DqxrApLwEzKvDIjmnJw+kr5fzezy4VuYod0/GrHScfwdwpXg/gBdlYBCZn3GSUgup8WoQZoOJYfJ7Ztb4nb7MysdhIC8C54I53cRK0AnyKMS8ycvGmXmVxwBjbmVjB8fKCJavpiRRNlly2MglcpyQPglpYx8Mhvz/PPYZNPl/+Zmy0eNvHNSjo6PqhgDWljexGcy6bdng2uhGjJQdY41h5Lp5l3euZpGfva0/b1MyiPfvNYbaz8L37WTYAc2pP7lcWMRo051ZMfL8SRvI4DXrWeswrm0ygLSE1dXVkjZAmUFSyNCjrH87J3aWWFtm8HI+c40la+vnmxQ2I1uys886MNDOjrPBUERz1z1jSVjbG2AN7L1Ga+k6mbgwUDOjzdrNa8NORY3ltf7O45VT5jIorzkevLpfJu14ZpKGNWN7bdvJd4xV7t+/X+wQEemIEeHy5s2bC+QYLKyjeJBqS0tLJS89E3iZuLPTBC4z88penlzizA5xrVIPjjGMK9cgqo49pm8cTcig3zrrMnmnQwraBpXf3aCpqalCGxtsrK+vl40b0N0R0chZYpJkMEwOBWEo14zzD5MhL1K32YvUCzXXaat5njWPCyZob2+vTCh2+3JtDKmf0e0yGJ6UmKkxULUCqQF+/s4MS/amCK1kBeR8Fi8IpyLY6Pga7h8z1jYIPAcAKp8mlNMOsvHnWn4+K3enh7QBn8xcuK2Tkpoipy9qn83PYBn3HZ7JSmZqaupCHVhyThH3h9eYy2s5AgF4gb2xQ5qdBj4/PT1dDbXVKgtkY/0+2VYLz49kx8KSAa2NldN4IqLBiB0fHzequeQ1BNhxPy4tLTUIAkBJrtBhPWDwYwBEypfZXR/qQrsihvqittkVMOD0MeaTnSFfi+uZHas5oDclTqNy/6Lf7LhlYJpDqrV1XcsDPjk5ueAgcn1yo3NUo7YW2uxjLT8Y4AUbVzvsBUcml8OifbY5OWJaW6c1nTtJMSlh28m9c2qHv8ezUz2FdcJmw/39/QvpMBGj1DTu4SohTmlcXl5uPdY8s9bMg7yxL6di5g3kZ2dnjU13YDYIR/SEyQLmvyOw2QHP/dv2/5q88wlbNW8/G2cWXQakKCRyEY+OjuL8/Lzh3eFtgNy5n5k+599lz887y+1l5oE0Pc+CzztDM0Nk1tLXhQFyEvP+/n55NsA2O/asCOirzCLexqLMysyTfpzX64WaFTSetH83g8B3AfZWmBmIWpGZKc/hXz+T2d18ohmfyUCBuUY4Mish/ud5bsOSn8NtvOqC/KxSY5jyfWtMxXXah/KMGIGk7DC6TmXOpTOgsaFtC085FcjrxCCF9cv7eaNc3hjQZgT93vtgZccxgrX/ZWOf9WQOy3kd+P+e1zhpMD+UPCRFxHniOW+S6+bwtfVo7b3z81EJNuasr+/KAgZCgF/vl6ANeW57rY4zpDclHoNxaTNuTx6XNgeLtWDn3mvu5OSkVKAwacR1MwCz5HXiv72WuTcpYDgYPoo5p3YYIMHgQvrkKGnNBmYgX/v/JCTP7UxeZLtGO70eyff3OsUGkqdvm8m6dGm1iNFmeNJwnL9sJzXfizbasczrkfnZ643yjtHDGbhSWQAd0VbHODtJtqV5DK8zfp+58CQLLbMFmUnESPV6veJtkGRM3bONjY1igI6Pjxs5FwaOOdTO5KeT8wkTzoHNCsKDmHer5sFEMjvpdAHyLPM56hkU8wy1hXobIMfPkZ+lZgzpM16zEXBYyIskg1dfp+ZlZwBv8f0dDnWba2Dc/xunCP1seT4blOb3s9eY5wq5UZOSmhIfdz/Go805qs2/PA+8QQSnkwgIqR2sy8ye0wYrTxtY5pMjJ2YUbYjN5taAkTfu5PGpMeFtzz5pJ9IyzuFwmzzXa+Ax73DPkQyqswBwMgPLGMHS1q7hqFa+fzaSOcXHbYe5t47AcOYqIM5xhenBbuRQqfuv1oe3ITV9aODKZ6xnTGxkMOl+IxWLvsv5rdmOteWa5+vXmLAayWGCwBFQM67MIRhXO5T5Ok4JcRuvqtsmJVl31Bjo3Gd+3yCv9h3Gi1NII6I4bd7MllMbfb+aPayB1zaCzOPrUmpOF/DpoOhbNsX6pFMfbpJTQDJ4pW1uw1XW5mdKG7AR8PtWHu4gUggolYK3sbu7GxERe3t78fLlyzg5OYn9/f3G5igS8U2lW+7evVtCJjVW4CppA9kA1sIkMAIOa+Z0BQa41xvl+fmUqaw03ocn6fzTWrimpsBoI2IQmhWKF0gbK5+fr/Ye92G8PC4oa7PvbWFlt7eNhbPUQlb+rJV8G0AmysBPbd5OQtpAae0zrN3MQrW9+nuMx9nZWTVSwYY6HMqIUQjKYwabZrbJn0P5O9yac/AIQfr+NSPNc9QMt52R2wI2Ncn3rwGXNmXP2Bi0ZpDkMlroMaf7WAdmhttttAOZdYTJgZzTzHcIlWK0AT2Mg1l4mKvz82EUK+cFOv3qKuB/3GdvSsyuRTTDpwC7rPOZr5nQcH9Yb3tMzLYZdDjNqpae1UYWmJjI7K4ZPr8675k55NB0rs7D9c0Y53WY+6lmiyYttfXo39vAvtcuTnReH3fu3Gkc4EQaweHhYePgBv9O+uJN9IGdBxzJHME2ljo/P29ULOCHaByYyDa05oBZz98KeLWHWHuf39sUbq83PDP34cOHJUR07969MmCc38tGG3a/MYnHAQCMKYDpzp07VVbObawpWS/2mgBg2RCUE6XtaZGj6xMmzFC0eUDjgNVNSC63kmn9cVID2PnHOVtWvJ64WQnwvcxKRIxOznGdT0IuEc0wWlvYyW2pKWv3f3bI/Jz+2yDA5UmYgwCtNkboJiQr8/x3zRmiH1iXPIs/08Yk+Pttayczsg7/59qjNmB2CAxivNHDu5TbUnxySknbOqrNy9xXtym1+2dd2ta2mi7L85156R3JONpmNbOO8j18HbclG3h/N4dSM8Ai1Qqjlx1Vxpx54PQr69Rav9TG1W2elI41eDXg9NrJzkHNJrSlIAHqp6amCovu/GPGtbZWrZ9rIJr2Z2bUaUG5qk+OhNT2i3i8eIYaweTntC63QzbJsbuKtOnXGoDNfcxao5/AEa6Zvb+/36iiQY64oxA3UcHGjqTroufqTefnow13zjf36aB2SHPurvOv3Vf8nt+7TN6JCrrMi/Wg8h6lD+iAubm5OD8/L8qScg/kU7igvCcvhq6WV5GBg8HuZUrfEywiyoLyewyyla134MJosJOPzQk5Z4W2miGpLYBJCmGd2v1qxjJL24K1EkNqDFhma/l8Br3+P54eIRTGB28xM0wZuNaAdNuztQHX3GcOs2Awcpuv6hR8VrnMqaz9bZBuFrYGtGsAIK93P3NODXBUxGkEDkO6nxy6dvSiVl4th0drbGsNgHMf/h7nYNyGoWxbh3lN1kAlrzn03waU0LG11J2sb9uAjj/n9l8217lu7eQ7dAi2grCzxzrXhDar6Xvkn8v6/CYlRzUi4gJ4Re/VwCOS7ZPnQBvwzBE1ruP7Xsa+Wr/VSm3l/GlvBGLzTt6YRZ8YFOeoqPWKbcpVnNHbWqN5baI7POZuk39yNQ/2/9y/fz92dnZKyavMetJHeeNlzWGvzXn/bp3rtA+nB/i4V7Aa2IYarplxJX+X8lk4oT6IynM4kxXXWYvvXOc1d0b+2wvCiwAB0LnTMWh0XN7h+ObNm0YBa383K+dxC5u21pB/LXyePWeXiwC4kuOKsbWH4hMmTJPXjNOkAQ7ChPQ98yKz2NurKdGaoeAnjxP38ns5z8mTHFDkKhB8N+dymQ2qzYGat5wlL6qcO+SFVnvfwBxwzdi/D2mbWzUg5Pa3jac/x7zAwJlJAcDCthiI5lzJHH6kfWbecv55TUHb0Nu5zWOV+8bjdRlDPkkD2WYY/cyXOSh5XddArNcZANbXAlgCXN2n+fc8HtkQ5X73dxwq9vp15ReYJ1cU8L1zmlqtT8fN40kJ+X9thjnb0hxC9fORJuV5zTjgMPpZbWtqm6Ay85rJBa9/g5y2jUDe1+Fc5LyBxylDtXSDfO2I+jG+BonjgP9Ni+dN1h1EA/Nns06yHTw7O2ukAtjucRop5MjR0VFEREmzcbpUzidvs3PZruVxcO5xxCjHvNdrVnDxAQS93ojxN3tr3dEWDW2zsVcZy898PGzuFKRtYfI/wIjBLV4pubC93jA/a2dnJ05OTmJnZ6fKtjj/zYNZYwuQDEyzN1jLm3WYjXwQF1/muZw/28YC0Q+XKc9JKdcMpGpA2kDBrxkY8FozDjglKF/fw3/XQK3Hz2GHiItsXa1d40DruH71tbMz43njvrNBMBCqGdibltqCz/O9Zqzz9xgTsyM1xzODe9ZGjZHxdxxpyGkegJjp6ekGeM0hcD7LNb3Jx89tJr8GpPyTWR07U+9LsnOH2PGtjXFmT30Nf8drKpe64lqMSb5eviafz3OmDczm6AqMFelAEaPd2d4M0nYozDipOTh+n98nIdRDtt5wH+Y+qK21WipbJg8imrnOrEnWktcawhzPjgz/y9fnfX+GtnJfgGs+xjnb+JwqYPY1b+rxejZLzX2zTNqxrN2vDTjXIhmZ9Y6IRok33r97926poUo/nJ2dlQMfPI8y1qk5JLQv27Fsq227vLE8p+uQbw5gr42txyjPe57H5Ac/V3VEPtMJW7xm5ZQVahsrQKfMzs7GwsJCnJ+fl+TlWt1IOtU5UO7Mubm5OD09bdRQ9QJtG8Tc+VDoUPeunZaBLM/uSefiwvQPg5i9W9pSW4g1pXtTkheWfzdjzvv+vNuajRffsyJG0fkz+X72ujIYyeCFI16df+X5lEFcm9T6NrMWNSDr76GAGO/spOVowCQk93vN2659x+Kx8DVtdMetl3xmOuNuo5sVGPcBhOaSdnk+RowOAmE91lhcnscbJHiv1gc1FoW1e9tSA4kGEm3/pw9z2/PzozthymZnZxuMea4Hm/O4uZbTgmqOTnZwrMucF+3NQzaUpAr43Pda5Zc8pjWHzX+3/UxCDF7tKDlSFBGN+VwrCWeA4u/WnAfE66wGVNpAv0Etwri7wki298519X4ErsX8zOs8s8M1LJHn8yTHrE1q+rIm2T76/TZyIW82nJkZnqrlyg2uA+sSoIjnhEGwN65yj2yLzd7n+sBOv/SeAzaee1wz6TA1NSqV5/WeCZ6c8nPV8f1M25/blIAVLX/n75GvGBFlsKamhrVd8S4IzfvkLPIo8ALyaRIwM8fHx40FnydVBlg2xoBlJy3XzoLm2ZzD4uPuIqJMsDaF47bU+nZSjF12NGpGkfczIBr3DDWjyf+tyPL1ETNeLAJfg753iRaHHXFY3Da3L7c59wn3yHOj9vkMLLJiNxti5uCmpQ20jpPc7xm8Mg5t4NIG13lS5EhFRFF4dkA8dzKjaCPGc/HK/zJQbXMycGIdYuY5/cyX9dFti+eUf/JnbKg8X4kAAQRrTAxj4Y2EBqyMZ0SzNqydpIjmeqmxZrUf2uSShIDpWp3tGmjN6zADrayDxjktkwRCAAA/uwFoRDTmL33vlK4MRjJjm3MIM/jL/eD/mR3LPznykHVmbY7yDADXHNFoIwIyG4jwfXLoM5C9TQCb+zPrplpf1T7nz2SWERxEPXjngbPH5vz8vGAe8krttOY1bsBoAEv7HIFBZ+QccwNPg2GeIZeyA9hGxIVKS3kjvOdfjeAaJ+8EXmvAL4OhLB6k3Mher1dCDIQeKHp89+7d2N3dLZ3E93N4HyodpjZ7DnmhZQVmBWIAm0tE+LP2lGg7PygtMxeuhOB+oB3Zi+Y5JyE2ROMMZg1sZoXE+9nj9Ht+pjYvNCteHJw8scmtgS3ywsn3zNccB2Brn6N9vOaFlZVPNhzZG56EtAGFmmTjXnvlmm0pNGbprGBx8CJGzpo9dofGauux1n4ryDZ2ivnAevOmEqcRjXOm8zyofS5/ZxKSI0S+lwFNxIixAbCivyJGzgcGjO/x3ewUerxzKSPWUGbKamHf2tyzM0Kb7KQwT9CluQyaQ89tIIrfebVes9wm8HF/ZwcuR5vsDDqSBDOV9XImQ7LOcwg3l6HKILFN79f67jrOn79XA2+1Ncd1Dar4HnN53NhNelxrOrLt/7lNZhhNFmTWFEfOzqRTamo63muRa3t/Qa716/no/PJ8umg+QCYTGsZCTgVF/+RqS1yHa6ALDIivKp8JvI4zlDWFYoDCdbz4THXneqt45IQi6Cg27wBaYWY9QFnBZeMZERcUtD0a2oARdUjNExDqHUXsBWvQagWRFzSvNhCTkKsYaKRtLGug1s9YMyxt984ghsnv5+fzNYWR2WDPM7OIvn/t1ePhZ8ggvvaMNfG8vqqyfxfJ6xGPtnbP/J6fwYqpdmpdBrDOcYqI4nXnUjk1Bq0NTPo9rwXvds4M7Pn5+QUm+PXr141TtgyE2pww3z/Pb9rT1uabkBwd8qvb5ggDesisFrrVrFVmX/KzOMyY1wtVADw3atGoWp/lZzBbXNP9AOg2MHwVRyOv2bbxumz9fhZx6kwO4TKvaxEFP5/nZSaJaqDT6xc71naPq0b1LgMUWe/4tYYR2nQofZNL7eW5XLsO95jUWNbmcls/ZociIhrOBGNggJn1E/PG9+d9gCUR6qybjTnswOZDknI+tfvdLL8JB88tj60dUIi7iFH0Let/f480E4Paq4DYa4PXtklpJVEzDrUGtQEa52W59AapA1Z6NoYoVU+mbMAz2MzeRAYvudNheQiTkhifwy5+5rZQDu3z/zKr7LyWm5Q2w3iZsciL0pIVUc0wtM0Bf9f95ufPY+nQW3aMHPqqKbS25+d7ZqgyIMwGpO1ZrZA9L25aPHf8HNmw53WQ/2/D53AVSpL3bAi97vMGyuxx5/HNY5B1RwZyd+7ciZOTk5idnW0Y51zCB+cWpX5yclJK87WVlfGr25L7atLi/om4yFpmZz8iGgbB42KQaIDoz5n9tANuR722oSb3/ThglfuWdeSc6bw2uMfZ2dmF+pCX9V8bOMpjOklnMmJYHYe0Ffd/xCgdw2yrQYdlHMB1n2cQmVny7NwAnpFs12tr1L/nz+VIrOcuUtP3GeA7Bc/AdVx7c9smLdnxyCSVscn5+XljbwA6FJ3JsbHn5+eNCJGdUEemTSqgm51eSWSKtnCIABU7XG6yRnBYT9sxrjnIHj/Pc7Pl/qmtwdramAh4rQGyqwBXf9cN9/v5/y52XCtkzIN6k1UOJWdxZ9eK5vIZFpJrS+IhcIgCRbUjojoR/Ixt/WWpeeKTBK+1/s8spZ8lv2ZP155eBvH+br5/W/uyonXujpkn38MKrpYy4PcMUg2W/PyAAIMB38/fHbcw21jQm5CsvGtGsG28LGY4XfKEs8pdsJp+yAanFm5C6bUZ4aw/cqqF5xK/w8IAAA4PD0vY3JUPamxWdjryHKmN06SBju/TBiBqwD6DcHSG1w+fyyDXIWqzL3YAbXhYdzjsNSPt8WsDr9YREdFId+BvAzuzUhnEtjk8NZDkz9QA1U0LRyTbmDOeOQ0mkyZ81vnlZtdqNrgGIms/te/S720A1tf2c+T/tQHetn7mPUdb792719jH4I1vNbkNwNrmhGVdZieMucbnOD7eR8ffv3+/fM+RAtti1gskHv8DxFKyc3d3t1G2MyJKbfQHDx7EwsJCLCwslNrzYJZMmKHbXdXFa5WfXq+ZW49kh8Lv5z41HrOeu0pU4J3B67jG1JTWuAnmBWfF2VZqyouF/FRyXhEYgixMBOeAZIPBvalmQJkWFDtH7mFErczbwGtbuM4Tldecr3Qb4nbVUhUMIDKQhUVBbMDytf13zalxHyCZ1bFxNFCtlfzJ1zB7ZADLQvbn3TYUS1saR81oGyDZo56E5HVmUOg2toEz+sfpAvm0FcL1Vqr0nRlXb1TBoXR5Oeet2oPPyox16tShXIaOPHIrdFcEyWVlsn7KemWc1Bzym5Y2QMD9a44l38uMeDb4flYbP9YAfR0RF3L9+b+fHV0KWZCdjzY7UHNSeC7GzKSEj/7NeaPZQcxSA681R3wScnh42LAn6I6s4/MY29FzKowjCTllpgZMs57Letd9hLSBVP+e5+W4teP+RjKYjhgxdGwiZG4BZGv3s/6uPcttSVufui2ez7CvtDufBMo1eTb3TbZTnMSVa+kikH/z8/OxuLhYjlWGjOPzzDGEuUPfZ/B6fn5eyDye106Q9UbWCXm8suPJ+5fJO1cbyMayprhqk6020H6fBc4idu5qVohMCOeJ2FNrm1A2jAZY9p7IEfHRdoBXgwArpbyrj0VY6zfak/9nxTZJ5rVNYdWUe8TF3ee57VeZbJ7ctf9ZaWcFGnExFO7rtZUQyWEYDIKZQ4xybd5mg+f+YgHTHhvinC4waebVICEDsjbAkyV74LVjXVkfrJG8K7zX613YSMlO2TYGN/cza9R5bz7b28cSAl5R0lamKF7vfPZY5koEtXk9zihPQtpARnbu7LQxbuhDg6Ssdw0SXa2j1xsWGmc+502rhCEBkGbI7NC1OQkZBGU949/Pz8+Lo0Qbzcz5lZ9xY2jblPt0kmAHx8m7tG3nckSANvm5cyUPH+tbA6x5zDMgoj+yXqoxaP5O7T2Pac0hqDkwObrjdIaIKHOwtgmw9lzghEnqV0t+PkeIIi5GK9xf+dlZR8YqJmUyXvF9ELAOm9Tt/Jyfn19Yr66/62eqOZ15rWQnyaQBn8npW446eHzy2s+2/Sryzhu2LLkhGWC2LaSakslg0mWwcp4qBjQiCjPgkIPvkRG+DRcKwwxCTjQ264gXFBEFvGagipHPA5cXPJON/xm4jguVfFapATJe8ySrTeb8P0v23v1e7V61heFnrwEwfwcGAyXP+DM2LOqcpxcxKmfjxevFWXtOPxvzweC1DcBOUrlmUH8VsJq/n42L865xCMzQwbZinCNGjN3BwUEcHBzEzs5ObG9vx/b29oWwltMPLAavOI9zc3OxuLgYi4uLsbS0FEtLS/Hw4cNSLNs5tYyBgRcANo9FW94XfZLXyKQNpPVlrT029AB06wvWjo1YDvUZMMAGmShA7wKeEDPebo/XQg208Nlx5AXP7h/awLWYZxhg0lO4t21Hlty2d1kj1xXAa0674FndboeN0WWsoVq5SLOqtR/fI4vbUyuFlPVdza7XHA+Pew0IMecMytEFx8fHF+xB21zJ4NXh9tsQP2NmQrMNoM1tTpz1dibU/Hzjcr5tByEdDg8PI6J56hffdyk2j4uJBOMd45S8prkv/zfhAXjNBAX9lPu0FjkZJ+8EXj0Qfu8yMJMnZO07gAcbtuzNeNcmSs0hh7Z2WUk4VIWidAkePmNl4/YT0jDln19pu/ss92MNFOXJNAlpG6MMEttAbv6/gTrPUXtmG9DLnn0c8LcSg3FF4RuYcnwd7cNYv3nzprTJtUhroZf87DbYVpyepzXgelvKtdbu2rj6/7y6/81+8B2XUvFRnRFRlNfBwUFsbW3FxsZGrK+vx6tXr2JjYyM2Nzdjb2+vsK/jgBog+e7du+U4wqWlpVhZWYm1tbWyWTJidJSof3IomjmRjUs2vLW+q/XZpCSn3/Dq+e52ZPBaY6q8rlgHfi+XUXLOMNVbDHJq4Uva6X70nHNb2tZxZv1Z2zl14d69ezE3N1fu4Tzd2lx322ptmZQQGmZ+kkpjXWl7BHlyfHxczWMkbcDANaKpq8Y9Dzou39vljGhrDvPW9NlV36ddAFcfrX7v3r0CzlmjNWDMNTxuZif9jJOQTGb4WZHacxtk14C/9ZHJAD+vv+uxZq0CFo+OjspenIODg3JtCEBIiZodc9/yLLbtbndev04xwCHx0dI8f073aesPvzdOPtMhBXnS1MAY0uZN5Qfw5zMIRHnlvLfMdmXA2rbQIpq5KPZquSftMpDM3pAnBhOl1jd+tprwzDZCk2JeaVduT5vS92TN/89jl5kYS5vzkg2tF30bgHBf4c2j4GkHytmOisFMVuY1D7A2jwEC/p8NUY3lu65neVW5CutQYzBqhiGPgccr7wTG2OGMENrc3d2Nra2tePnyZTx//jyeP38eL1++jPX19djd3S3KzRsCcjt7vVEqwIMHD2JpaSmWl5fLkYkAKjYjTE0NS8jQTtrk3M1er1d2gKM/7ERdxcmYNMNDe6zEMyNl8OI819qY0WbrkgxwrbvMjKHLMKaUJTTQyXq/DXDUwGueb+jhiCi/Y5xpO7vOWdcmLGp61X1nXWbdMikAmzdluZQQwt/YnPPzUejVANbVbWqg+7I5aT3riFREFOKHKAdOivWYmWNv1Msh7ZrjHtEEWjxXZvFpX04RzJiC8WMss02ZlHjtW5dbf1jne33atjDm7iunxdTsRHY4/Tt6lznCJlsINutAR7zMwNZslX+yDsqgNzPqrFnGF+zm9ZsxkoH6RMDr7/gdv+O6X+nkcyg/+ZM/+b6b8LmQnZ2dePHixftuxmeS7//+73/fTRgrhPm/4zu+40auRxrCT/3UT93I9T5P8gM/8APvuwmd3JB87Wtfu9Hrzc7O3uj1ADtbW1s3et0vo3zf933f+25CJ0kmQwV10kknnXTSSSeddNLJBKQ3yZyfTjrppJNOOumkk046uUnpmNdOOumkk0466aSTTr4w0oHXTjrppJNOOumkk06+MNKB10466aSTTjrppJNOvjDymUplfd6l3+//+xHxd0fE3xoRqxFxGBF/IyL+eET83sFgsP7+WtdJluuMV7/f/0pEfF9E/MKI+CQiliNiPSL+74j4AxHxhwaDwXF08rmTfr//KyPiN0fE3xERKxHxMxHxlyLidw8Gg//xfbatk6tLv9/vRcQ/HxG/ISK+MyKmI+L/jIg/GBH/6WAwqJ+l3MnnSvr9/j8ZEb80Ir4rIn5eRCxExA8PBoNf+z7b1cn1pd/vr0TEr46IXxkRf2dEfBgRbyLif43huvyDg8FgcvU3b1G+7Mzrb42IBxHxYxHxeyLihyPiJCL+rYj4K28BUCefH7nOeH17RPwzEbEdQ3D7uyLiT8QQyP6BiPhav9//UjtnX0R566D8yYj4BRHxozEc5/8lIv7xiPgf+v1+ZzC/OPJfRsR/ERE/KyL+SET8/oi4G8Mx/SNvwW0nn3/5NyLie2MIXn/6/Talk88o/1QM1+EviYi/GBE/GBH/bUT83Ij4zyPiR74s6/LLbtwXB4PBUX6z3+//uxHx/TFk7vq33qpO2uQ64/UTEbGcvch+v38nIr4WEd8dEV+NiB+ZZIM7ubr0+/2nEfHbIuLTiPi7BoPBC/3veyLiz0XEvxMRf+j9tLCTq0q/3/9VEfHrIuL/jYhfPBgMXr19/04M19w/ERG/PiJ+6D01sZOry2+NiG9ExF+LIQP74++3OZ18Bvm/IuIfi4g/ZdvY7/e/PyL+5xiuy6/GENB+oeVLzbzWgNBbAdDcTNX0Tm5ErjNeg8HgTS388TZV4I/nz3fyuZBPYqhz/qKBa0TEYDD48YjYjYi199GwTq4tX337+rsArhFl/f32t3/+S7feqk6uLYPB4McHg8HXB4NBVzfzCy6DweDPDQaDP5Ft42AweB4R/9nbP7/71hs2AflSg9cx8o++ff0r77UVnVxVrjxe/X5/OiJ+xVU/38mtytdjmH/1i/v9/qr/0e/3/4EY5tr92ffRsE6uLU/fvv4/lf/x3i/o9/tLt9OcTjrp5BJhD8jJe23FDcmXPW0gIiL6/f5vi4j5iHgYww1Bf38Mgc3vfJ/t6qQu1xmvtyDoeyOiF0PW7h+OiL8lIv7rGOZWdvI5kcFgsNHv9/+1iPjdEfFT/X7/j8dwk923xzDU9WMR8S++vxZ2cg2Bbf1Zlf/9bP3+cyLif5p8czrppJM2ebv/4599++ePvs+23JR8S4DXGObZPdHfPxoR/9xgMHj5ntrTyXi5znitRsS/qb/PI+I/iojv78Jgnz8ZDAY/2O/3/3oMN9X9C/rXX4uIH8rpBJ18buVPRsQ/HRH/cr/f/8ODwWAjohjJf1ufW34fjeukk04a8jtjuGnrTw8Gg//ufTfmJuRbIm1gMBg8HQwGvRiGur4aQ2bgJ/v9/i94vy3rpCbXGa/BYPBX3352JoY5lb81hqV7/kK/3390i83u5ArS7/f/1Yj4ozHcyPPtMawu8QtjGGr+4X6//x+8v9Z1cg35wxHxZ2I4hj/V7/d/X7/f/8GI+MsxTNv5+tvPdeWyOunkPUq/3/9NEfGvRMRfjeEmyy+F9M7Pv/XIqX6//0kMd+V9fTAY/Nz33Z5Oxst1x6vf7/+aiPhvYlhr8nsn3b5Orib9fv+7Y7iT+Y8NBoOvpv/NxXCMn0XEdwwGg1ouZSefI3nLsv7mGBrEvy2GOXU/ERE/EBG/NyL+noj4+YPB4C+/rzZ2cj3RGu3qvH4JpN/v/8YYrsWfioh/8O3GrS+FfEswr1kGg8HfiOFgfmfeONLJ50/eYbz+zNvX755Yozp5F/lH3r5eKMUzGAwOYljKZSoifv5tNqqTd5PBYHAyGAx+12Aw+K7BYHB/MBgsDgaDXxbDtfpdMTxk5H9/r43spJNvUen3+78lhsD1f4uI7/kyAdeIb1Hw+lY+ePvahbW+GHKd8frw7euXYlfll0juvX1tK4fF+29uoS2dTE5+XUTMRsSPdKfcddLJ7cvbjbH/cQzTeL7ny7iX4EsLXvv9/s95WxQ9vz/1tuj944j4icFgsHn7resky3XHq9/v/5K3oeb8+fkYnvATEfGnJtnmTq4t//3b19/Q7/c/9D/6/f4vj4i/LyKOYhh67uRzLv1+f7Hy3i+K4eaQvRgeONFJJ53covT7/d8ewzX4l2KYKvDqkq98IeXLXG3gl0XEf9jv9/9CDM+7X4/hDvZfGsMNQM+judu5k/cr1x2v74uI7+73+38+Iv6/iDiIiK9ExC+PiKUYAqB/77Ya38mV5I/GsI7rPxQR/0e/3/9jMRzXvz2GKQW9iPjXB4PB+vtrYifXkB/r9/uHMQxL7kbEd8Zws9briPhql7f8xZC3p6X9qrd/QiD8vf1+/4fe/v5qMBj8tltuVifvIP1+/9fH0Gk8jSFZ8Jv6/QuHiP71wWDwQ7fctBuXLzN4/bMR8ftiyOb8vBgCmv0Ybgr5ryLiP6G8SyefC7nueP3+t///RTHMbZ2LiM0Yeps/EhF/YDAYdGkDnyMZDAZn/X7/V0TEb4yIXxMRvzqG47YREX86hmP8tffYxE6uJ380huP4ayPifkR8M4bnp//OwWDw199juzq5nnxXDI/ytfzsGNXr/RsxLF/YyedfqLs8HRG/peUzfz6+BMc2f0tWG+ikk0466aSTTjrp5IspX9qc10466aSTTjrppJNOvnzSgddOOumkk0466aSTTr4w0oHXTjrppJNOOumkk06+MNKB10466aSTTjrppJNOvjDSgddOOumkk0466aSTTr4w0oHXTjrppJNOOumkk06+MNKB10466aSTTjrppJNOvjDSgddOOumkk0466aSTTr4w0oHXTjrppJNOOumkk06+MNKB10466aSTTjrppJNOvjDy/wNf6VIXS/o0GAAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
        "<Figure size 864x338.4 with 12 Axes>"
       ]
@@ -239,7 +240,7 @@
     {
      "data": {
       "text/html": [
-       "<div class=\"comment\">Saved: ./run/figs/Fidle notebook-01-dataset-small</div>"
+       "<div class=\"comment\">Saved: ./run/figs/GTS2-02-dataset-small</div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -250,7 +251,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x291.6 with 36 Axes>"
       ]
@@ -266,7 +267,7 @@
     "print(\"y_test  : \", y_test.shape)\n",
     "\n",
     "pwk.plot_images(x_train, y_train, range(12), columns=6,  x_size=2, y_size=2, save_as='01-dataset-medium')\n",
-    "pwk.plot_images(x_train, y_train, range(36), columns=12, x_size=1, y_size=1, save_as='01-dataset-small')"
+    "pwk.plot_images(x_train, y_train, range(36), columns=12, x_size=1, y_size=1, save_as='02-dataset-small')"
    ]
   },
   {
@@ -281,7 +282,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -371,7 +372,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -396,36 +397,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Model: \"sequential_1\"\n",
+      "Model: \"sequential\"\n",
       "_________________________________________________________________\n",
       "Layer (type)                 Output Shape              Param #   \n",
       "=================================================================\n",
-      "conv2d_2 (Conv2D)            (None, 22, 22, 96)        960       \n",
+      "conv2d (Conv2D)              (None, 22, 22, 96)        960       \n",
       "_________________________________________________________________\n",
-      "max_pooling2d_2 (MaxPooling2 (None, 11, 11, 96)        0         \n",
+      "max_pooling2d (MaxPooling2D) (None, 11, 11, 96)        0         \n",
       "_________________________________________________________________\n",
-      "dropout_3 (Dropout)          (None, 11, 11, 96)        0         \n",
+      "dropout (Dropout)            (None, 11, 11, 96)        0         \n",
       "_________________________________________________________________\n",
-      "conv2d_3 (Conv2D)            (None, 9, 9, 192)         166080    \n",
+      "conv2d_1 (Conv2D)            (None, 9, 9, 192)         166080    \n",
       "_________________________________________________________________\n",
-      "max_pooling2d_3 (MaxPooling2 (None, 4, 4, 192)         0         \n",
+      "max_pooling2d_1 (MaxPooling2 (None, 4, 4, 192)         0         \n",
       "_________________________________________________________________\n",
-      "dropout_4 (Dropout)          (None, 4, 4, 192)         0         \n",
+      "dropout_1 (Dropout)          (None, 4, 4, 192)         0         \n",
       "_________________________________________________________________\n",
-      "flatten_1 (Flatten)          (None, 3072)              0         \n",
+      "flatten (Flatten)            (None, 3072)              0         \n",
       "_________________________________________________________________\n",
-      "dense_2 (Dense)              (None, 1500)              4609500   \n",
+      "dense (Dense)                (None, 1500)              4609500   \n",
       "_________________________________________________________________\n",
-      "dropout_5 (Dropout)          (None, 1500)              0         \n",
+      "dropout_2 (Dropout)          (None, 1500)              0         \n",
       "_________________________________________________________________\n",
-      "dense_3 (Dense)              (None, 43)                64543     \n",
+      "dense_1 (Dense)              (None, 43)                64543     \n",
       "=================================================================\n",
       "Total params: 4,841,083\n",
       "Trainable params: 4,841,083\n",
@@ -456,7 +457,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -465,29 +466,17 @@
      "text": [
       "Train on 39209 samples, validate on 12630 samples\n",
       "Epoch 1/5\n",
-      "35968/39209 [==========================>...] - ETA: 3s - loss: 1.4260 - accuracy: 0.6061"
-     ]
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m<timed exec>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)\u001b[0m\n\u001b[1;32m    726\u001b[0m         \u001b[0mmax_queue_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_queue_size\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    727\u001b[0m         \u001b[0mworkers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mworkers\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 728\u001b[0;31m         use_multiprocessing=use_multiprocessing)\n\u001b[0m\u001b[1;32m    729\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    730\u001b[0m   def evaluate(self,\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, **kwargs)\u001b[0m\n\u001b[1;32m    322\u001b[0m                 \u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mModeKeys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTRAIN\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    323\u001b[0m                 \u001b[0mtraining_context\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtraining_context\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 324\u001b[0;31m                 total_epochs=epochs)\n\u001b[0m\u001b[1;32m    325\u001b[0m             \u001b[0mcbks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmake_logs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepoch_logs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtraining_result\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mModeKeys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTRAIN\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    326\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py\u001b[0m in \u001b[0;36mrun_one_epoch\u001b[0;34m(model, iterator, execution_function, dataset_size, batch_size, strategy, steps_per_epoch, num_samples, mode, training_context, total_epochs)\u001b[0m\n\u001b[1;32m    121\u001b[0m         step=step, mode=mode, size=current_batch_size) as batch_logs:\n\u001b[1;32m    122\u001b[0m       \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 123\u001b[0;31m         \u001b[0mbatch_outs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mexecution_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    124\u001b[0m       \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mStopIteration\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOutOfRangeError\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    125\u001b[0m         \u001b[0;31m# TODO(kaftan): File bug about tf function and errors.OutOfRangeError?\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2_utils.py\u001b[0m in \u001b[0;36mexecution_function\u001b[0;34m(input_fn)\u001b[0m\n\u001b[1;32m     84\u001b[0m     \u001b[0;31m# `numpy` translates Tensors to values in Eager mode.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     85\u001b[0m     return nest.map_structure(_non_none_constant_value,\n\u001b[0;32m---> 86\u001b[0;31m                               distributed_function(input_fn))\n\u001b[0m\u001b[1;32m     87\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     88\u001b[0m   \u001b[0;32mreturn\u001b[0m \u001b[0mexecution_function\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m    455\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    456\u001b[0m     \u001b[0mtracing_count\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_tracing_count\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 457\u001b[0;31m     \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    458\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mtracing_count\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_tracing_count\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    459\u001b[0m       \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call_counter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcalled_without_tracing\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py\u001b[0m in \u001b[0;36m_call\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m    485\u001b[0m       \u001b[0;31m# In this case we have created variables on the first call, so we run the\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    486\u001b[0m       \u001b[0;31m# defunned version which is guaranteed to never create variables.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 487\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stateless_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pylint: disable=not-callable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    488\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stateful_fn\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    489\u001b[0m       \u001b[0;31m# Release the lock early so that multiple threads can perform the call\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1821\u001b[0m     \u001b[0;34m\"\"\"Calls a graph function specialized to the inputs.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1822\u001b[0m     \u001b[0mgraph_function\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_maybe_define_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1823\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_filtered_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pylint: disable=protected-access\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1824\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1825\u001b[0m   \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py\u001b[0m in \u001b[0;36m_filtered_call\u001b[0;34m(self, args, kwargs)\u001b[0m\n\u001b[1;32m   1139\u001b[0m          if isinstance(t, (ops.Tensor,\n\u001b[1;32m   1140\u001b[0m                            resource_variable_ops.BaseResourceVariable))),\n\u001b[0;32m-> 1141\u001b[0;31m         self.captured_inputs)\n\u001b[0m\u001b[1;32m   1142\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1143\u001b[0m   \u001b[0;32mdef\u001b[0m \u001b[0m_call_flat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcaptured_inputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcancellation_manager\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py\u001b[0m in \u001b[0;36m_call_flat\u001b[0;34m(self, args, captured_inputs, cancellation_manager)\u001b[0m\n\u001b[1;32m   1222\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mexecuting_eagerly\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1223\u001b[0m       flat_outputs = forward_function.call(\n\u001b[0;32m-> 1224\u001b[0;31m           ctx, args, cancellation_manager=cancellation_manager)\n\u001b[0m\u001b[1;32m   1225\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1226\u001b[0m       \u001b[0mgradient_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_delayed_rewrite_functions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregister\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self, ctx, args, cancellation_manager)\u001b[0m\n\u001b[1;32m    509\u001b[0m               \u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    510\u001b[0m               \u001b[0mattrs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"executor_type\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexecutor_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"config_proto\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 511\u001b[0;31m               ctx=ctx)\n\u001b[0m\u001b[1;32m    512\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    513\u001b[0m           outputs = execute.execute_with_cancellation(\n",
-      "\u001b[0;32m~/anaconda3/envs/fidle/lib/python3.7/site-packages/tensorflow_core/python/eager/execute.py\u001b[0m in \u001b[0;36mquick_execute\u001b[0;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[1;32m     59\u001b[0m     tensors = pywrap_tensorflow.TFE_Py_Execute(ctx._handle, device_name,\n\u001b[1;32m     60\u001b[0m                                                \u001b[0mop_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mattrs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 61\u001b[0;31m                                                num_outputs)\n\u001b[0m\u001b[1;32m     62\u001b[0m   \u001b[0;32mexcept\u001b[0m \u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_NotOkStatusException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     63\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+      "39209/39209 [==============================] - 4s 110us/sample - loss: 1.2184 - accuracy: 0.6623 - val_loss: 0.4307 - val_accuracy: 0.8982\n",
+      "Epoch 2/5\n",
+      "39209/39209 [==============================] - 2s 49us/sample - loss: 0.2259 - accuracy: 0.9349 - val_loss: 0.3110 - val_accuracy: 0.9282\n",
+      "Epoch 3/5\n",
+      "39209/39209 [==============================] - 2s 49us/sample - loss: 0.1301 - accuracy: 0.9622 - val_loss: 0.2643 - val_accuracy: 0.9382\n",
+      "Epoch 4/5\n",
+      "39209/39209 [==============================] - 2s 49us/sample - loss: 0.0871 - accuracy: 0.9742 - val_loss: 0.2500 - val_accuracy: 0.9389\n",
+      "Epoch 5/5\n",
+      "39209/39209 [==============================] - 2s 49us/sample - loss: 0.0666 - accuracy: 0.9803 - val_loss: 0.2121 - val_accuracy: 0.9482\n",
+      "CPU times: user 12.3 s, sys: 1.89 s, total: 14.2 s\n",
+      "Wall time: 12.2 s\n"
      ]
     }
    ],
@@ -524,7 +513,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Max validation accuracy is : 0.9405\n"
+      "Max validation accuracy is : 0.9482\n"
      ]
     }
    ],
@@ -542,8 +531,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test loss      : 0.2611\n",
-      "Test accuracy  : 0.9403\n"
+      "Test loss      : 0.2121\n",
+      "Test accuracy  : 0.9482\n"
      ]
     }
    ],
@@ -554,6 +543,25 @@
     "print('Test accuracy  : {:5.4f}'.format(score[1]))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "End time is : Thursday 17 December 2020, 17:05:50\n",
+      "Duration is : 00:00:20 263ms\n",
+      "This notebook ends here\n"
+     ]
+    }
+   ],
+   "source": [
+    "pwk.end()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -594,7 +602,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/GTSRB/03-Tracking-and-visualizing.ipynb b/GTSRB/03-Tracking-and-visualizing.ipynb
index 86f379691c1e4b59b1e1b0c19e822c2092cce202..2b2d0682a5ce5194ff401d7ccde641e9ebfe82fe 100644
--- a/GTSRB/03-Tracking-and-visualizing.ipynb
+++ b/GTSRB/03-Tracking-and-visualizing.ipynb
@@ -76,6 +76,12 @@
        "    margin-bottom:0;\n",
        "}\n",
        "\n",
+       "div .comment{\n",
+       "    font-size:0.8em;\n",
+       "    color:#696969;\n",
+       "}\n",
+       "\n",
+       "\n",
        "\n",
        "</style>\n",
        "\n"
@@ -87,19 +93,32 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "data": {
+      "text/markdown": [
+       "**FIDLE 2020 - Practical Work Module**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "FIDLE 2020 - Practical Work Module\n",
-      "Version              : 0.57 DEV\n",
-      "Run time             : Wednesday 9 September 2020, 16:14:47\n",
-      "TensorFlow version   : 2.2.0\n",
-      "Keras version        : 2.3.0-tf\n",
-      "Current place        : Fidle at IDRIS\n",
-      "Dataset dir          : /gpfswork/rech/mlh/commun/datasets\n",
-      "Update keras cache   : Done\n"
+      "Version              : 0.6.1 DEV\n",
+      "Notebook id          : GTS3\n",
+      "Run time             : Thursday 17 December 2020, 17:48:33\n",
+      "TensorFlow version   : 2.1.0\n",
+      "Keras version        : 2.2.4-tf\n",
+      "Datasets dir         : /gpfswork/rech/mlh/uja62cb/datasets\n",
+      "Running mode         : full\n",
+      "Update keras cache   : False\n",
+      "Save figs            : True\n",
+      "Path figs            : ./run/figs\n"
      ]
     }
    ],
@@ -115,15 +134,14 @@
     "from skimage import io, transform, color\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
-    "import seaborn as sn\n",
     "import os, sys, time, random\n",
     "\n",
     "from importlib import reload\n",
     "\n",
     "sys.path.append('..')\n",
-    "import fidle.pwk as ooo\n",
+    "import fidle.pwk as pwk\n",
     "\n",
-    "place, datasets_dir = ooo.init()"
+    "datasets_dir = pwk.init('GTS3')"
    ]
   },
   {
@@ -147,8 +165,8 @@
      "text": [
       "Dataset \"set-24x24-L\" is loaded. (228.8 Mo)\n",
       "\n",
-      "CPU times: user 5.57 ms, sys: 83.5 ms, total: 89.1 ms\n",
-      "Wall time: 278 ms\n"
+      "CPU times: user 1.1 ms, sys: 87.1 ms, total: 88.2 ms\n",
+      "Wall time: 279 ms\n"
      ]
     }
    ],
@@ -162,7 +180,7 @@
     "        name        : dataset name, without .h5\n",
     "    Returns:    x_train,y_train,x_test,y_test data'''\n",
     "    # ---- Read dataset\n",
-    "    filename=f'{dataset_dir}/GTSRB/{name}.h5'\n",
+    "    filename=f'{dataset_dir}/GTSRB/enhanced/{name}.h5'\n",
     "    with  h5py.File(filename,'r') as f:\n",
     "        x_train = f['x_train'][:]\n",
     "        y_train = f['y_train'][:]\n",
@@ -203,7 +221,19 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/html": [
+       "<div class=\"comment\">Saved: ./run/figs/GTS3-01-dataset-medium</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 864x338.4 with 12 Axes>"
       ]
@@ -213,7 +243,19 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/html": [
+       "<div class=\"comment\">Saved: ./run/figs/GTS3-02-dataset-small</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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djioRPM6tzijy+XnPzC70+33RFe12G5lMBk6nU7Ie+nn0fehsjx5zAFOtU72v7HY7+v2+2Ay9x7iOSBXi/emg3WazSVaDa5T7jA62Fg3Q8BrU23purb7UJOJwOBAIBMTmanCK2RHaaj4bdQYALC8v43d/93eRyWTgcrmwtrYmlCTqfOooAPB6veLjeDwexONxARU41j6fD7Ozs+j3+ygUCjg7O0O73RaH9iufaaIRUKI3hnZUrf+3che1oh+XRtH/0w7ouCjFCrfzf/o1/xdiRYO1zMzMYG1tDclkEqZp4uzsDC9fvhQ+4v8P+cM//MMRpJPKRaf5iZhaFaSODvle4GIhLi4uYnZ2VhAhOhWao6WjVd6DvpZGXb8OouV0OsWZIh9zZmYGwWAQlUoF+XwezWYT8Xgcc3NzCAaDgiJS8vk8fvrTn+Jf/uVf8OTJExQKBXFOz8/PMRgMEI/HkUwm4ff7habA5wqFQjAMQwwVnTiPxzNiSMnfm0QMwxCOI40b+aZM25MT2mg0UC6XUSqVUCqVxNh6PB5BJ8kvpJMAQKgidHgMw0ClUhFHdmVlRQyqaZry/ERF+Tc6vJOKnn+tD3TaSdNQeO/1el2endfh8/J+yZ1rNpuCkvDzGHBqx9V6X3pfcE1PajT39/cltUbHlb8TGaGx83q9YhiYOXG73QgEArDZbCgWi/D5fIjH48JP51gMBgM0m03kcjnk83mUSiXJoHCt8rtOJ2qHfdos1rj0Hw0jUX7NP+f+YBqRzjvHnHtJo24AUK/XcXZ2JhxnAMjlcsjlchgMBggGgzJWmkoBjCJakwpRbGum0Oq8EmkGMMJJpRM2GAzEgB8fH+P8/BzNZhM+nw/Hx8eYn58XJ49jyOewju04AOTr2EOr86ivb7fbR4I77bjq9+vrcHyoW8jJT6VSI7xyOpKX3TvvhbqV1JJpnFeue76f3GnqZYINwWBwBFQhj9VqIwEIRc1KFdCvsYJ8GnnVY8bfx/laVxFNa2MwzLGj7uz1ekK/ID++2WzCbrdjeXkZCwsLEvSSK+vz+SQYs3K4ub9JgSF9gFmhSCQiWb9SqYRisYheryeB6VfO2UQjoEQPPr9bJ8TqoOr3ar4RN7ZOS3JzEjnRE6YLC153T9+UWBUE74eQO41eLBbD8vIybt26hVQqBeACbdnZ2cHJyYkUEtXr9RGStv6cbwKBnZ2dBQBJm3LjsjCCfE69ibgoOUfdblecFDqcfr9f5oV8Qs3t1U4+o2Tt2HJjWIu7+L+rSiAQEBSVhQL6b/1+H81mE6Zpwuv1IhQKIRaLjdxfv9/Hzs4OfvrTn+I//uM/UKlUALyiglSrVXi9XiwuLiKRSGBjY0PQl1KphHK5LONJR7PT6YjjyutQUZRKpYnmkChhu92WZ4hEIvKZNJSlUgmZTAbn5+dotVpixCORCGKxGGKxGGZnZ4VjyHGn01mtVlEulwWZHAwGyGazgsL6/X4ZTyoxpppM84LaUK/XrxRJW+WyjI4OhDR3nsU8LpdLHDwWqOj1S6SD9wpgZN8GAgFJb2mn2apX9N4fp+e+SnK5nPBYmZ2p1+uyRukI8H6o7JnB0OuWAcv8/DwcDgfOzs6QzWZRr9claMlkMigUCpIZ4TNpw8vAhOOrkUMrveAqwoJIKx+Ujnmj0ZBiGyKwnAtd5ARAaD405swCcV7JzWPwUi6XUSwWR4JEOlz6faRGcR1NIgyKaJi5JseNFceZRTnU+XTIyRuMRqPY3NzEcDgU6k+z2UQmk0G/35fsD9O7tJEaCNKfabWLk9oU7UDp56Md53VJb9H7wqr3OdYARG90Oh3MzMxgcXERN2/eFNvPwNzqrHH/ahSWztO0ziuvRf1JfUXnk9SwcT4Hx0H7KaQVxGIxoRxZA0B+Jq+hg2B+6cBB65dJdY3mxVttMGkRnDci60RpSZfguOiiQZ2Fpf5ncEZ/Ru8v7nmCLA6HA9VqFaVSaYSrPw6htspUzuu4SMg6sNp51YpdTxjwyili0QUrEE3zgsQbDofh9/sFibCmSf4vEVaKVQkDF8jI3NycVN8tLy8jlUphfn5eIkvDMMSYFAoFFItFnJ+f4+DgADs7Ozg8PEShUBC4/ZtwXAHg3/7t36QaV6cpw+GwKEsqBSot/l6v11EulwXVYiqTPEoq1MXFRbjdbkkjMUWkEQ8qXSpuohXaaaZM4rzGYjFJiVLZ6oja5XIhlUoJZ5JCZKPRaODg4ACff/45nj9/PuK48nqmaeLk5AQff/wxvF4vWq0WlpeXhQd2fn4Oh8OBeDwOANINgBuWm5ipmUlpA+Saaa4tFaVGmzudDvL5PKrVKiKRCNbW1rCysoJ4PI5QKCQUA6/XO4KoE0VhZT0rfMvlMiqVCkqlEqrVqgQ5brcboVBIKBlcN0zDTzJ/VtHIjU6lWREzwzDEmPv9fjQaDTgcDimAoaNkt9sRCAQkeCOiQiSBPOFxBVoUrXes6MhVhQ4Orz0YDNBoNMQRo1PHog+m2GjYibbX63VJ98XjcSkm6XQ6gj5ms1kUCgVBQS5D7PTP+vnGgQVXEQYJNGAatCAyTxTY6XQiEAjIutQOmTVTQ6eff6c+C4fDUhlfr9fRarXEGGtHlc+pUedp7Eg8HkckEhGKCu913NjSuFcqFWQyGaTTaRSLRZlT8gjfe+89eS+NPPnM5+fnoreCwSCi0Sii0SgCgYDo0nFI8jiQ6aqiX69T9PqzdCGZnjPrWOtOK16vV4IRFgHdvXsXdrsdiUTiS46b3me0N5xb4BXdbFp/QPsrHF+uF7/fP5KZ0mOs6SL1eh25XA79fh+pVArLy8vSAUWvMQ0KvQ6R5d/5ejqLVylo0qIDUgCi003TFOeaiCnHlwEZbTrHRqPhVjCBOpPZvWAwKHUl1MMM0Hu9nvhA5XJZ9FcsFpOi69fJxM6rNUoAMFax6ahdv48bmFXmTDXyO9N9g8FADCLTZcPhUHgSbFVBh4iLe9roclLhpPt8PkSjUaysrODGjRu4desW1tfXsby8LA4CHSd9n51OR5ycw8ND7OzsYGdnB3t7ezg6OkIul5PF9YuW//7v/5aFxVY8kUgEyWQSrVZLipC0sqDzSiSOiJ/mFXK+YrEYgsEgEomELFimaImI6cpiK19Jz+W0yohpOSpJIoX1eh0ulwuzs7NwOBxyTySK93o9vHz5UhDX09NTuaaV/9toNPDs2TMMhxcV6vfv30cymZRCKt43aRhUtqZpot1uC5+IKOckwkCBUTE5km63G81mUwKkcrkMp9OJxcVFrK6u4tatW1hbW8Ps7Cw8Ho+0F6Iyo3Eh+uF2uxEOh6WzQqVSQTqdRjqdRi6XQ6FQkHthxoT70mazyX7ms04iXANWJEcre/2z1VhSqIzp7JBmQYTaMAwx/kRwGGgwM3EZdUD/POk6pSHQqUKmXIkmud1udDqdkbQ6uywwGOv1elIdTMeP1IFCoSCBB/miDBCthlOPt9VhmFYPEYVnStKaPqXj0u12Bb0iRULrBt1uC4AU57GQ0DAMrK+vI51OC+fZ6uxqRxX4ssM1TTp2ZmYGPp9PUC3rGtWfNRgMpCCQ+6fZbMrcBgIBMd4MpHnPDEjJ0ya6RT0Si8Xg9/tH5tUKsEy7Tvnecd85hwC+5BPQweVrNa2AmToA0oXF5/Ph1q1b8Hq9mJ2dlWfXNgGABDkMfnSVvH7dJGLNNrDoliAI0XXd6cO6R/jcNpsNoVAIi4uL0iJLr1+9NhjocJxob61rkmuYhbD0ia4q1oBKzwXvjfqbc2NtecZ9eJku1/fNYIxBud/vR7VaRbFYFICyWCxie3sbT548QaPRwMbGBhYWFkZaMb5OpqYNkO8BvCLfA6OLW3MZuaFoqDWXzso5I9mXnnk+nxfPPRqN4tatW+IQ6I1jVb7fpDidTkSjUWxsbOCNN97AW2+9hZs3b2JhYQGRSERgdmsLJE4ujWkwGEQqlcKdO3eQzWbx7NkzfPzxx/j8889xfHws/VT53l+EM0vngrwSGmwWfdAJ1V0C+Lkej0ccv1gsJnxRLnqmnmOxGObn5yVQIWJLg0pjyk2lHQSrsZyUL0meGx0o8ubYzkU7441GQ5yGdruNs7Mz/OxnP8OPf/xjfPTRR6hUKjIOOv3Bccvn83j27JkY6TfeeENaqrB9GNd/sVgcaYVTrVYl3T5Nqywq1nA4LB0SOLeFQgFHR0doNBpYXl7G6uqqcJJDoZA4PtVqFZlMBrlcTvpmkoPo9XoRDocRj8cxOzuLcDgslaZE7E9OTpDNZlGtVkfQBSoyTYmZRrRSt64LrVf43DToepwZaJLbS6SY8861y24Nw+FQnAmdmiXqDoy2VZo2YLYimvqaFNIHyMEjrccwDGldV6lUJBhl2o1zRKccwNdCGKcV9uM0TVOCSH0vGsnRoAadeD430VUGIOl0Gi9evMDp6SmcTic2NjYwPz+Pe/fuIZ/PI5vNCvAxrliLPGA61eP4o1cRUkv4PFZ+o57jdruNYrGITCaDcrkMm80m+4oAQiAQkPWm1/1wOJR2XHT2ySlkapZ7U2e3gC8jsJM66Nrpta4f/s4x1BX14/YqAStgtIiIDhGBD2aQ9JyNC6Ks9t/6vJM8I5FDPg/nVve010VZ+n3AhZ1iSzO/34+5ubkRaoseBw3Y0HfSWSWdsWaGiCl7ZsomEX6Gvm/yTzUlSHc54TNru0znVXO1rWuA98vAEYCsaa7rRqOBdDqNJ0+e4PPPP4fL5cLq6iqi0ShmZ2ev5JxP5bxeFsnpaI/CRUVUlSkioq2maYqHz4IKcr4IMVMBsh2KaV5UmyaTSSFQ68+2Ko9fhHDzcFEnEglsbW1JxfmdO3ekcEejReNQIv7O9CV7pt24cUMcjEgkgocPH2J3dxeFQkG4eb8IZJmto5jyBS42DhFSKg0iU3RmuGmIjNCZCQQC4pwVi0UAF7zaWCwmSptBS6lUQjablZ6pTCnrlJveENMU+hSLRVGkdGJpsIBXLWkYRAWDQQSDQeRyOXz44Yf40Y9+hI8++kh4qOOcJgoJ57p6+jvf+Q7W1tawsLAAw7joCkAHmsEaUym1Wg1utxuRSGSiZ+SYUwlRwZAbd3p6ilqthlAohK2tLdy+fRuzs7MYDi+qmsmJTKfTOD8/Rzabld6NNOhsQzU7O4u5uTksLCxgYWFB2qKRcuB0OpFOp9Fut1GpVKSZPJU2UaJJ5bIiISvSqpEpdm7QBR9er/dLHFYaEI0M0SHgtegU9Pt9QdfGIU/6niYVnXHQX5rrp1N6fCbgAvnPZrOSLSF9hc3ifT4fZmZmMDMzI+udjoOmcYwLil/nKEwiumBDt+ThHHB+OO7M6nCsSTcCXvFL2+029vf38eTJExwdHcHlcgnS6na7sbW1hVQqhVQqJW3ONHJlGAaazSby+Tw6nY6sDx2cXFV0lmEcYgZADH6tVhO6jd1uRywWw8zMjKRJyY8n7xB41cqLWRDOFfUpOaPlchnD4VAyClbOJGUadHlchsFq47UtGVeToh022n06Rv1+f6SPKH9vt9sjz8z7rtfrSKfT0rOZYzQNJ5vCtcH1Qa427YimsFjHgf/XHWsYZHLt8b16H+g6H13Qxw4H/CztHzEQ4/+vKjoTyOtzLVA3M5jQARTfS5vFDCptuqaB6MNWuFfpLxBspPPKLB8pTfRJ+FzfCOeVC1LzI4Avc151pMR0CdMkVoPC77pNBJ0NcpcqlYqcXHR2doZSqYRarYaVlZUR/prmY1hbTXwd4XN7vV4sLCzg7bffxnvvvYe3334b6+vrkobVikE7sbyGFUXV40YuJlGiRCIBn8+HR48e4fz8XKJ6fT/TiGEYkrrhoqPCpGLhGFLpMI0yMzMzYhC0Ikun0/jss89gGAbefffdEYeM1YVMczNy5KalMaUysKagJhEWtBD5phNCh3wwGEgKg30ue70e9vb28KMf/Qjvv/++VJleBe0eDofSWsrpdGJ+fh5bW1sjQZhGWGm02XcvGo1icXERu7u7V35GppOJXpPnWKlUsLe3h3Q6jXA4jPX1daytrclcVKtVHB0dYXt7Gy9evMDJyclI4YjmOXMM2dA/mUzixo0buH37NtbX1xEMBrG6uioRdS6XA/DqgAoiEKzsn4KxHRsAACAASURBVFTGzbvVGHPdkhLC4IA6RitPBtG6IIHrnwbHbn/VTo1GlIGJ3+8fqdr9qnu9inAPWWsDxjnY2rEhhYOOEPfT2dkZisWicEfn5uaEZ8/uFFrvWPWQTvHq38cVnFxFqIO1oSMlgBkottJjEdP5+bncpw7QyPPjaxj8DodDPH36FO12W3iGdCScTqfwynlN07xoWUhaDfn+Oji5qlzGH+bf+/2+2K9qtYpOpwOHw4FwOCyULR1UaedXrwvtGBuGIQ4qqU9cq0zRUvdZO7dYHc9p5DIql6a7WClWDAzoBNH+cH5YZ7CzsyNo9Orqqthx6iPTNFEsFvHFF1+gVquNdCiwcm4nESt9h2uNQTAzARxT6hPgFQjEe9SdevQ8Wn0i2iVNnzRNU56TNlbrMAASvEwizFxYs05an9IX05kmZmhZ68DCXd6r1hOa3qA52XTA6cDOzMyg3W4jmUxiZmYGfr8f0WhU+OrU418lUyOvHHgNmVvTX1QSrCZj4+FQKCSIHSOmTqcjp/VQSdJwxmIxpFIprKysIBKJwDAujuA8OTmBaZqYm5uTYzt/0WkxvRlcLhfm5+fx9ttv47d+67fwzjvvYG1tDcFgUFA+a2GKFX21/s/KDaIDSyePCpBooZWe8XWd2NdVyHIsNQJHjhdREabhu90ujo+P8fnnn2MwGMjr6bzQSdDdIzSCxrnn67gRgMmKtXg9pqm5zvRYaXTR4XAgn8/jyZMn+PTTT/HBBx+I40qe6lXGeDgcolwuY39/H59++ikCgQAqlQr8fr9kEHgtpuRZKR6JRORY1qsKFYfmv/FUr3Q6jW63i83NTdy+fVuO9czlctjZ2cHjx4/x9OlTHBwcvDbCJTpM2d3dxcHBAU5PT/H222/jzp07mJubw+LiogQddCaYUWEKikjX1xGdueCcMDggrYhKn3xVACP9X8vl8kgBmVa0dCaIXhFpsHYB0Uj3L1LXWINT7knd5YOOYKvVktNuGLyXy2U8e/YMx8fHSCaTuHPnDmKxGBYWFpDP56X3JA2f9d61k8Mxvixde1UhekPONK+t05baqWEPbI45Aww6EzyOs1aryR4ql8syTw6HA4lEQvYWCwZZEMYahOHwomcsOdt09qfhEl6G2BK0KRQKwsNlxsrv98M0TVmPXLNM1+r2YHo+OHZMZ9NZYGaSBX9er3fkJEANKE0ahFhtjXUtWAOrVqslTif1HfU915/ubMOvUqmEjz76CDMzM7h7967oZ9JOAEgxXjqdliwPG+VrfuykojsF6IJh6ljSGujnaLqCBoGsaXaONe9NUwE4ZrR7GsnV+4ZoJseUjvQkwueiDeZ86KCdFCl+FgOiQqEgtDL2rdVrwbpGh8MhHA4HyuWygCJWSkw8HsetW7fw67/+6+j3L3rqEoikTfvKOZtoBDDqzHHjWrmK/Fu325UCj06nIwaCVbKGYaBQKODg4ABHR0dyLi7RP7/fj1Qqhc3NTayuriIUCmF9fR0+n0/aTR0fH0v/zHHFFb8o48Iin62tLUFcV1ZWhLbA8eAm0tWYlyl+Ha3oDU7C982bN8Up6XQ6ePbsGQqFwsh7p0mVcLPpDQF8+YxsooM8rSgajUrRiF60zWYThUJBWvHU63Vsb29jfn4e6+vrI8c8MrLk8aOsRuYJUEwT6c01KXWA7ZwY7YXDYblvjVrY7XZks1k8f/4c77//Ph49eiQOFjfvVZSENgqFQgGfffYZyuUyvvjiC9y4cQMLCwvSR5VpUPboJEIyqYPOVCyVIBV6Op0WZTE/P49EIgHDMHB8fIwHDx7gs88+w87OjtBvripUtGy5RaX0zjvvYHZ2FslkEr1eD9lsVtY8+bhcp48ePZroGa3pTU3FAV4hPbolFiktTqdTeFXUL8fHx8hms9Llgc/FfrdLS0u4ceMGtra2sLCwIAUlvHaz2YRhGOIQ6ADr64jVodDOAAN78nfZWoZICI//BYDz83M8evQIz58/F33JAsrl5WVBKnWbO62ztYOj9aZ2HCYV7XhSJ2qEhvqH6Cv3PGkxTElyToGL/svM3EUiEUG7lpaWsLS0JEcu09CTx22aphhQ1hwwdVkulzE3NzfxM1ptH3UXObUsztIOqu7NW61WxdaR70e9q2tGrOl6/szsDeeN9QVMRWukje+bRqyoob4HvW4IaNjt9pEepwR3mIFiRxs2tifCyJZJ3W5XDgmwott0eonOEe39Knv7VfOo9wCFzivpLla+Kx1CvZ65bjkH2tElOqu5s1zXXDt8Fo3CW7n/0zivXFOkuuiCRn0Qg2EY0ueVaX22ehynp/Rn6Htst9tCqaOPposyb9y4ge9///vSkWBxcfFLBwW9Tr7WCVtaCVlREbZAqVar0r8rEokIQloul3F0dISnT5/iyZMn2N3dFd4cN6vX60UymcStW7fw5ptvYmtrC6urq6JkTNPE4eEhjo6OpFKODqxGgacRjQza7XZEIhHcuHEDb7/9Nu7duyfGgcqXi1ajJVwcl0WqnGj9NyoHwzAQCoWwubk5MpZEEb6O0eTi0Bwl4MsRNdtk8Bg4BhxE6/j+QqGA3d1d7O/vy31ub28jmUwKCjIcDqWyltEfN32j0UClUpGIXJP0NRo0ibRaLXkmoiyGYQjH2DRN5PN5aYn1+PFjcVxZHWrdqFr0WOmfe72etMAhvcXpdCKRSCAcDksKhmloGrJJ0+q1Wk2exTAu6AKnp6di2FdXV6XdTKFQwIsXL/D06VMUi0Ukk0lsbW3BZrNJ0Q8RIAZDLEhkuzfeO9O1R0dHQiu4d++edKswTVPSl6RvsHXZpKINNTCaoqXjylN9eIgCUatGo4Hd3V38/Oc/x5MnT3BwcIBMJoNSqfSllBQPCJifnxcaxb1797C8vCz9HvkZwCuHhcbnF5GK1c9sRdx0QQUDlWKxKFXmPp8PtVoNh4eH2N/fx/7+Pnq9nrTpm5+fx/z8PJaXl4U/r8dAB4uUabiR44QOCik0OpOhnVnraUZEEKnT6eAYhiFcdXYjYGU0g0E6SuTBApCG88ViEYlEQrh95KE3Gg34fL6Juee6mFPzkbvd7kgbIACSYSG61Gg0kMlk0Gw2JUNjs9lGesYC451E7gXOE7NEdOR4DLSm99HZnbTNknU+tVidaTrump5DfiVT0Dbbqx69DDyZ1bx165YUDOuiJr2/fD4fEomEoIa6ZeA0jp31/q17WSPdGhHneiWyrZ1WXXRozUhr/rXmiWrkl++lntM2ehrklegm8Irbz7HVFDv6M6R55vN5KWoOhUIAXgULmpbJIIqUFTrhDPxLpZI8I/drJBLBrVu3YLPZkE6nZQy/sRO2NLytB1ujIoyweMIEN2wwGBR06smTJ3j//ffxySef4ODgQCrQgdGzw/f397G7u4u9vT289957eOeddyS6vnnzJgaDAZ49e4b9/X1Z9PqkpGnTXZpvabdfHH96+/ZtvPXWW+K48rnppFo30euiQKuzz4XKCInvi0aj2NraQi6Xw/HxsThGXDTTGBidurCmlBg4cCzD4fDI6UtaOdB45HI5PHnyBNvb26hWq2g0GsKrvHXrFubm5kYMPtOFNptNzp5nb9B6vS5Klutr0o2qOdU8OIEbkHy7arWKp0+f4r/+67/w6aefSnGW5gJpGYdEWUUHI91uF9lsFgcHB1hdXcXNmzcRDoflbHoaX2uwdVUh7YHdDM7OznBwcIBGoyHt2sLhsPDDvvjiC9Trddy8eRP379/H6uoqOp0ODg4O8OLFC+kzzHGIRqO4f/8+fu3Xfg23b9+G3+9HPp8XJ3h/fx+Hh4fSYP+NN96QJvrD4UXf3nK5jEgkIsVE08o4JJBtx+iIDYdDST+apolsNovt7W08ffoUe3t74uxpfjeFhWbk3jHTMRwOsbq6CrfbPZI6pGOhEZFphUZQcxutBpT7gWlidslgVsRms8nhJ5lMBpVKBYZhyDGpfr8f4XAYKysrKBaLaDQayOVyX+IIWnWKdcwnzQ7wfTTqmttOA8hAmAUedGjoiOmeu7orSrVaRT6fl3T5YDDA3t4e+v0+VldXEYlERHeTfsVnYFqTxS802HqOryrUZTptbZqmOKbpdBqDwUAKs6LRqBT18rl0mpTOO/XyuC4I43SR5luSzsd7YsEtHeNJDwyhPdM2X98Hx1brM+106TUAQOgRw+FQAmcelvKDH/xAgv1msylooQZrGBDTTnEcrAHYpGLde7TF7IOqbaUeb+BV6ymuoXEOJt/LNc/7Z82Pnmut43Rlv/6aRHQ/XLar5BqkM8m1TN3NQJ8gC8dBF9Fzv5DLyp72DCpYoN1oNFAsFiUI0EfEkpd/fn6OTqeDxcXFKwWRUx9SMO5vWkGwmESjXcBFymd3dxcffPAB/ud//gfPnj0Tx4Kv4eTrtgx0SMjv2dzcRDwex8bGBqrVqvTNS6fTYlCBVy0iJnk2vQGY+lxcXMSdO3ewubmJmZmZkVYmepFqh1UXY/B/OhLTxkp/vnbYXC4X4vG4pDOPjo6kxRGvMamMQ4q4WTj2TqdT+ES64EXTG1iMkE6n8fLlS5ydncnG5Dnd29vbCIfDmJubEx4iIywqPJ57DACHh4eoVCqiOKZxDBhQ0SjRiBFRzWaz+OSTT/DTn/4Un376qUR9l3FcNbVD3w9Rdityzdfws549eyYVxSsrK0gmkyPoEj9jEtHnbOtWZMwSzM3Nwel04uTkBI8ePUI2m0UymcR7772Hu3fvwu12S5Xn4uIi+v2+dIMAINzuN998E36/XzoRRCIRbG1twTRNbG9vY29vD4lEQrivgUAA5XJZ0kxUfNOIFfm2Bns8qYgoE1FsptVJn1hfX8fi4qJcq1arSccLIt5EjPXxtuQfJpNJORiAKVGuJ42CTSoaTbOmLcehoTSO5J3R6DQaDezt7WFnZ0eQVfKvZ2dnxWFKJBJYWVkRo0QdQqGDwiBaBw3TOq/UG7qnpC7Ebbfb4oxEIhF5HTmv5DiWy2VJYRaLRfmZ6D6vu7+/j29961u4c+eOHDphGIYc4coWgJwzpm/p4E2b0dJ6nvzyo6MjpNNpob/p4JVBCB1yBv35fH7k+GgdyFvXDOdF2xvqMB3c6XQ3Eb9JRDuvVnRSfyf6RnqULkoiik5eZafTQTabxeHhIXq9HlKpFGZnZ3Hz5k34fD5JJfN61OVMc7MntwZ+KNM4sNZ9xz2gT8fS46cLxBmY0dHUY6V1gw4AeI+0ufwsTUHk9dhRgrZmmkJ00jjoeLKDCg+AYhBAqidrUEgZZDGVPhwln8+LTtDUQo4Ln8dutwt1plwuSy9q4MLuMWOiHWH+/3UyVbeBca2MuDkYgTD642QbxgWPghxXVs/zbHW24xkMBjg/Px8525npS0bc2WxWnIG5uTncv38fz58/x/n5Oc7OziTCnRYR4aIDIOeFr66uYvV/U7FEkazGlc+p299Yuydo9EGTp7lBuNk1D83pdGJmZgY3btwQegW5Ul8ntUcHFMBI4Zzu88k+ifp5+dp6vY7j42McHBwgn89L8RZ7vOXzeenh9u1vfxvLy8sAIJxmriW/34/FxUXhyBSLRTnEYFqeHTdaq9WSPqWmaSKTyeDDDz/ET37yE3z22WcolUriOFwVcdUcrnFpKr6HfWAfPXo00kyb3SnsdrtQQSZ1DHQhGiNgl8slAQeVwfHxMXZ3d+FwOLC5uYmlpSVxaM/OzuRkuGQyKU6BaZrSaqjb7eLTTz/Fxx9/jE6ng42NDSwtLWFhYQGnp6fIZrPY3d2VbARTRkQgcrnc1KjrZbQN7k86r4ZhSCcLFn4CwMrKClZWVuRaXO/Hx8d4+vSpOKOaDsDM0OHhIWKxmPClWRVOJ4Ncva/KsFxVrAGlzvxQb3CtVCoVCartdjtyuRxevHiBg4MDtFot6e1aq9Wwv78vxwDPz89jcXFR2jXRuRm3hq2o7LTpWN3ShwGIPkmRCDKDBU23MowL3nmhUMDp6Sn29vZwenoqNKNyuQzTNKWDSKPREE52r9fDnTt3hLvMtUnnlTZKO2Pank0ielzouB4eHuL4+BjValX0vC6I0eg99Xi1WpWevUTCqIc5flanUWfL6FTZ7XbZf+Qck9Kg7dMkz6c/R8+n/p3PyGwX38t9pjNFx8fHePLkCXZ2dmCz2STzxqAbwJdoJhTtPNORmyaw0qKBKL0eiNBzP2hqCx1NzW8lCKLvn+OnHV+dtbUisbSfdIRJa9HdASbVN8FgUArnecIV0VTdY5wZc9JoWKRN55e+CDnLHJdoNCqAIakGbAHJkxdZuFypVORAHYJkLJYkH1bf02UytfOqCcRUtFT+hKWZymNkzD6vdrsdqVRKjAEX7crKCpxOJ46Pj/H48WOcn58L75OFPyTgn5ycwOv1YmtrCxsbG2IoWRHHjTbpJFujJJ/Ph1QqhfX1daRSKSnQGkdcptOkqyx11GxFWBn162tohENX5YdCIaysrGB9fR3Pnz+XivJpRKcJiW5oJa4rQXW7KY4LN16tVsPBwQFevnwp86ij4FKphBcvXiAWi2FzcxMrKyuiPPXckPOjj1m8jId7FWFFMceN9IHz83N8+umn+Nd//Vd8+OGHgrgSVbvMOFORUJgyuuz+9HU6nY4EYkw9ORwOrKysIBaLSRAwaRP/ubk5KXJh2lSfPseUzdnZGXK5nPQPHg6H+OCDD/CP//iP6Ha7SCaT+N73vodUKoVkMinFlX6/H/1+HwcHB/jP//xPfPTRRwAgB4XQST47O8PZ2RkODw+xtLQkxscwDDlFrlqtTtxNYdzYamOpAy12NDBNU3haDocD6+vrI4qWDk4gEEAmk4Hb7R4JSGh0ut0ucrkc9vf3hTOqzyhnb9CvazCtYnUGNOJjGIbw0Gq1mhiLdrstqGutVhMH1W63o1gsSgu3+fl5aYS/uroqelLzacc5N3oOpnFerc4AUVe2NOPns1sAU+9MO9Ih3d7exs7ODorFouzHRqMhDprmJu/s7Ej2DwA2NjakxZ92dFm8xrXEzgSTCJ1t3g/Xzfb2Ns7OzsRx1bqUzgmddg1cNJtNAWjovDK9qzNJXC+ausc55HU18jnN3FHGOUvW7IBpmtLNgUXXmrNJ/eZ2u9HrXZz+9vLlS+zt7YmdZLBItJHAAgBx+jnmdIS4vnhPvN9pRF+L19PoK22frv4nv5jBgW6jxXWlC8rp9HK+mE0hbYVrmeNEUIUtu8YhzVcRzYkGXvFcrRRLjqtpmqLjDcOQgJe1EDwEhQ41C61YOJzJZODz+bD6vzVK5JdzfQeDQdkL7MARiUQk2LpKdmBi51VvBk6SXixaEQEQh4QNtWu1GhKJBOLxuKT3TNOUdljhcBg3btxALBbDs2fP4HK5cO/ePdy+fRuGYciJPrlcDqFQCEtLS9Jk3uPxCAdKt5+YRDiRXIyBQADz8/NycpZ2WrQTZuWr6ShVk851SpvOvkZqiV5bIyyfz4dkMil97XgCyTTCa+p2QSTyM80bDAalwtdKZeA8FwoF7O/v4/j4WOZbo7m9Xk8Kgs7Pz4WrrBWEjqJ5SlA4HJZUyjTCIhYaDq6bjz76CD/+8Y/xwQcfjLRtYoT7VUJH11oU8rrX87qVSgVffPHFCNq+tLQkaTFrCvcqz+jxeETRAJB+rGzknslkpCCE+zKbzeLk5EQCH61Yma5jliSTyUiPUAoLl9jGzm63S0cRVmzzmViYBkxXqT4OcWEhgNZBnOtqtSp9TpPJJCKRCGZmZkb6d/LgBv6NKVrOC41RvV5HJpPB+fk5KpUKhsPhiMGiceZ9TRMoU3TKUn9pJIjV85xvzjO55ScnJwgGg/jOd76Db3/72xgMBnj8+DFevHiBfD6PnZ0dJBIJ3LhxA8lkUhxYthnT92EVTSOYVIi4ARD0hcW1uprcNE3p5kBnj2lGIvwMVJxOp6RRCZLwJDi73Y5ms4nT01PhBM/Pz8Pv90vNBakXtVpNHAabzSYI1yTCtVCr1XB2dibHfJ+cnGA4HMo65HxZgQK/349YLCY2iwcnsMBFI3U6m9Tvv+pbzTWsM3VEW7UjNRwORwrBriraFo3LDuhMazAYRKPRQLVaHaGhkW5DJ41ODLMk7FIDvEpx5/N52WfxeFzamPV6PVQqFZRKJUHqtK3/ulkQq+j9rQuKeS/secpDBCi6IJr1FnSEte2lo8p9QUqStl8aNJyGNsCgULdjYxcgChHybrcrr7Xb7ajValJ4SCCAgWAwGBQnm3PLIjzWPmnHnuAmixTJfeUx5Dqo+yqZ2Hm1koWtaSVyXQeDgRTNOBwOFAoFPH/+HKVSCQsLC0gmkwgEAlKJrE+OSCQSWF9fl/5u7BfK34fDi2MDz8/PkU6nJU3q8/kEjel0OtL2YVKho0bnNZFISIWq3iQaHaRC4pgwOrIaIGuaipGplSxu5cYy0iH/hLyiaZ6PC1nPH40Jm2dT2XLBceNS+edyOYmceRwrNyEAiapsNhtyuRwePXoEn8+Hu3fvIh6PwzRHGy1TsUYiEcRiMelSYY2Grzp/dL5ZlPTZZ5/h3//93/HBBx/g9PRU5uOrUAnTNIVPydOK2P6J6cF8Pi+bTrdG0fPH4oSf//znI+iLrj6eRIjiWA0TFSTTl+Q3VioVHBwcCE1nfX0dpmni3r17uHPnDlwuF05PT0eKZXhalRWNoKHl31utlhwaYpqm9JikIiYyOq3o/UUninqIBRUApOMCkUmNbmiHkPNChcnghcqY7X5YuMBTf3TLN11sNG06dpxY9QjwCjDgXLPIo9frSXra7XZjc3MTv/M7v4Pf/M3fRKfTkW4ou7u7OD8/x97enhTGLC4uolAoCH2AYwS8Wq/aWZnWIWD6mjqZKBMRKFIi9DMzmCAFhFQIdtYgEKIDfZfLhbm5OczOzgqdBIDwBfWe1HxC2hvu6Un52eQOn5+fY2dnB9vb21I4SXSc7SEZ9OpxdjqdCAQCmJ2dFUoZD08plUojR9tyX/NYaQDSLoxOq3Z+dD2FRncntRnj5l4HOpxDAiB81k6nI86L5i+zrSKLJA3DkIMnGPyyVVq1WhUHlUU8dIoajYYUaVppFNOKNYCzBpMafNKUHn627u6gA2L+TnRS8zsZ3DEbMRgMJGDR6KhuJTfNCVsM5nhNXSDGPcFgg9fXtA/Sq3QXD6v/p30izXfm2Jnmq3ZqWl9yjqlzruKcT4W86sWhJ5YRVrfbhcvlEl5eq9XCwcEBHj58ONJVgJXsmqtGnisHmosjnU4jn8+jVCrJoPAYzLW1NWl9wpZL5GdM6vhoCgAVC5WQdcHoydLGlfenHRlGwOMUh94gFG5Cje7wxCL2KtSo2ySinSqtTJn2YYEHjb9+huFwiFqthnQ6jZOTE2kFxbQw6QNE3Omk7uzsIBKJyPGiHD/9nc5EOByWiFsr4KsKeXR0Pj777DM58jWXy40geONEK3wA0kD5zTffxO3bt7G4uAjTNPHgwQNpA6IN8LgiQW7IXC6Hhw8fCm/4/v37IzzqqwqVHNEpVo/SQNJhZWu1crksgd69e/ekVRaLmcjPy2azYiypVK2ZFY2m2mw2QSrJy9Jt0GhUr8Jhsop2OPQ9cF9oNIgpVyI4bJ1lXcOk6zCTwdQ7i0MSiQQAIJvNynU4huwwop0fTZuaVPQ6G2d0ifJw/ji3oVAIXq9XOirkcjnMz8/j3XffxVtvvYW1tTVB6CqVCmq1Gk5PT/HixQvE43E5+WZ5eVm6D1CvatHUsGnF5XIJv1UbbN1lg5/DgIxoPtP4brdbDoOp1+t48eKFcI95b8y4BYNBLC8viw6ORqOSdaBd0Sgyi3vpIEy6D6vVKk5OTvDy5Us8f/5cCk4dDod0edB8Pg1QUOfr0waJYrLBO4+WpnHXbRN1qnnciYeat8w9Mo5D+lXyutdrB476gE4a9wdTwQxI2I+ae4ogwv7+vuyJra0tQeLIkeYcWilu1sLoaWXc3FgdWSvApAEqOp/M0uispfaTOG/UHdpP0agq/8dsA+1WOByW41SvKtbsrkaQuTao07hO6KTymGk6zTyNjsfEEjzRtlqj9Rp8MAxDwBFrsK+L476RE7bGLRIuYEbXRD1ZycY2T7u7u8hkMuj3+4LIsg1NsVhEJpORSJiTSAeEfCI2IqdCKhaLUvTD9AHvhRtnGqGR83q9cla7tZWFNqLkgXLwdeGBNaVBpcLJtC5uikZteT9EmKkMpuG96ibJwCsnlsiTPh9bi16YAOD3+7GysoKFhQV4PB5UKhUcHx+j3W5Lax4i5twE/Cw9LpwjVhlys1r/f1Xp9XooFovo9/s4OzvDZ599hk8//RSnp6cALgzWVakCvK9kMok33ngDv/Ebv4GbN29KhPrgwYMR1OiytCv/DwC5XA6ffPKJHDW8tLR0pepKLURES6USCoUCKpWKOFdEAbkXdSueRCKBzc1NDIcX7cOIsnMtMXXLYMl6ZKbVwdFIlm7mzSyMYRiS2p1G9D7TUb31C4AEz+RCEtXRLW4Gg4EUYK2urgpKPBwOJcvS7Xaxu7uLFy9eAHiFiACQa1gri6dFfHQa0AoKMDvAQkZWz5Nr9vLlS/z85z/H6ekp3nrrLSwsLGB2dlbQy0Qigfn5eXi9XpTLZdRqNczMzCCRSGB5eRnJZBIrKyuoVCpympj+7K/Dk6R4vV7pX8rrUkdzfsgHZQrc5/MJt5fpxZmZGRiGIa0C2WWCUiqVcHBwIA4jgxCn0ykUEIfDISilduaoV/WpbFeVXC6Hvb09QVxJ/yGPjxksrc+0g0QHBYA42gQ+mH7ne0OhkFAlSAVicEOnlGvRmrkj/UDXYFxVxq1r677UDpd2xADIuA4GAwmmnE4nVldX5e8Epra3t6WYiAXD1CGVSkXsRiQSEb6zLor+usGWFWW1BsnW59POKx0/7VDr61rHbZzO0H/TTiazPsyOTuq8ksLX6XTkxEzaCz6n1q+sVyDvlWCk3W5HMBiEcPZmRgAAIABJREFUaZrCbdY1PryeNZNMO64Ra61fdFaNY/lVMvUhBdaNArw6jYJV5wAE+mchBavd2JKGCNHJyQmKxaIUfDBCaTabErnSwOu0gSZLW1sxcVCmERo9kqwZmevFZf2ZMm4B6onh/erXW68x7prAq+Pipm0jBWAE4eA4kctJ3o7m63A8dLp1fn4epmliZWVF0NXd3d2RfpqpVApbW1uSAmJ6jApCn3pFQ6Y5oRoBn0SI5DP1xuKUceN6mYx7DY0cFcmkxoDrgHxStvqxVnxeRXi6Eg1co9EQPtI4x87v9yOZTCKZTMLlcuHk5ASHh4dwu91IpVKo1WrweDzSpYPKVSsgjgvXhOYm6Qpxvl8fWTlNSn1cIKfX4Th0hCiQ7iNqVZwAJHC4ceMGVldXJWhyu90olUqIxWIwTVP6dGoeOn/XqfVpDCb1gNXZsKI/bBVFxDQYDKJYLGJ3d1f45uQ5ar3CtRoMBuFyuVCv13F6eorj42NEo1H4fD4sLS3JARUMQHgN69xPI+wgwGwA9R/Rbma32Nzc5/PJnLGjAPsy53I57O7uIpfLjWTmyKM9OjoSfcujWInqkdPN5vgA5Dhl0zTlqNFJnQKm8bWOYQaLxaKa62p1XrVeZ8El/55Op4UCwUyNYRjS+B0YtTX6+jr44dpg8fQvgn8+7m90JLX+IALtcDhEF5umiY2NDQGEisUinj9/jkqlItkEBpUs1KYfwWfiyYEcczp5l93rVWScsznuNRp5pR7QgJQ+dMDqoOr5se53HQzwWtQ3rNxnodOkfg151NVqVQIG2jHei3bOSflotVoIh8MjJ9yxAJ+22ooWa06wdvy5PnThmf6fLjK8yhxO7LzqCRk36ORH0AFl37BSqSQIjI5WiKgSsUskEsLbY5qEaIHH45FThIrFotwP74OOjh68aUQ/GzeLdULGOXVauEA1PH9ZxGV1hi+bOK2UrCjoJKIr+awbVm9OPQ76/tj7knzBfr8vzaa5MYbDIXw+n7QrImeHPDWO7Thn5OsazWg0ikajAcMw5IjaGzduSBpYB1fjxDqmbPG2v78vzh8AKUqwjs9lQqQHuKDMsAJ6UrQHAIrFImZnZyW44sYnakP0jcaLaJRhGHj27Bk++eQTHB0dwe12Y2FhAdFoFOFwGKurqygUClKIYh0PBo5My+vP0AUG7ILAtTaNwbSuAavCs35R0euCHHYUIA+NJy0NBgOEQiEsLi5i9X8PItCKN5FIYGZmRnoO6+cf54jzvdOKDnate1C3PQqFQhgMBnKyoNvtxs2bN6WiXgdBRKi2trYwGAxwdnYGu92O09NTzMzMYG1tTdoAMrtF2o91/KdFljViRO4r+W7kAmrkE4DYhNPTU5ycnEj/4tPTU2QymZGK51arJfxJAEin0wAuCoB4nvrs7CzcbjeSyaQgrbwPIrjVahWhUGjiQwpSqRTK5TK63S58Pp9QGchlpy2zZmesa5t7ifOvD+Co1WqCnLFt02AwGDmVybputC6lXdT82UnkMoSQ9k0/m7WDAu+Drd7oiLPuhfqQ2Zpms4l0Oo2dnR052ZHrotVqSR1NOByWdDXbvfG+pgmUreNmdTgvs83jwAJrMKqvY93b1s/U/hHwykG22WwjRYeTFmtzTDTwx8yRFWijcF6ZZWIGVdcn+f3+kUIy633TP9BUNOvY6s/i/VzFf5uaNmCar9K+XKSaoKv/pttF6MiMDqAumtGTxYbOs7OziEQiMnjsD0hagk5x6TTC10FdgS/zTvXfrL9rh96qOPQ4XbaoX3cf+rP0grhqhGIVTTDXKRB95Nu4zaoXOVFu0zRlYes+t7w/8rGsyLP1Oa0OPMcPmLxFD5Ud+Wzk6TYaDezs7AgC9FWIGcef/VJ53UqlAp/Ph5OTE0mz62h83HU06hcMBvHGG2/g7bffRjKZFMd+EikWi4LCJRIJlEolmKYpnHMiWkR+WNlZKBTw4Ycf4v3330etVkMkEkGtVsPW1pb0dSWyY5rmWFRYK10aRqb4PB7PSC9jIn/T9HrVSl0rReDLaSaNrpI/z8bYugUSuxLU63U4nU60Wi0p8qIDQjoGO5bo02+0nrEq+knRcysax2fRKUeepGaz2WQc2de1VCphfX0dd+/exbvvvovV1dWRwjiv1yvdWG7evIkvvvgCT58+ld68gUBAevYSFdOHIGjO87S6hnufGSMWnDEVyjVGGlO9Xsfh4SH29vak5U46nUav15Pji+PxOBKJBCKRCAqFgqCzpBywdoJOTr1eRygUwvLyMubm5oSqpp0r4FXmcBK5c+eO8IePj48lg0j+rM4iUbQN1XoPgKTM4/G4FLbkcjnhDbPQTSOo1iAOGK3H0ACKBj6uKq8DU/SzabBDfz6LP5l5ZUYgEAhIIFwulyWD1O/3cXJygkQigYWFBUHM7Xb7CB2Q68ZqWybVpZc9m96XVgdWc0e1/6Ht8leBMeOC8XH/189Fp3VSB90wDKHMsD5CZ5T4LHxO3ZeY3R0KhQI6nY701yedUveKtq6xcciz9osoVnrGN9IqSzsVnDQOgOYR8u9sTMzj8aisaPSokF0ulxjgXC4nCs7hcEhKhmkDVtr6fL4RBaGV5DTQuhY6ijoFyecZt8heh75yPLRRt77XGvnp3/k6kqjpoExb3aw3C6NkImXagbUqd6uTqZ1LK5+LQQx50EQTuGj1mF0WifK103BeeS273Y5YLIatrS1ks1m0Wi0cHR2NEOYvczi1Y8+etXR2AoGAUGGsys16HY4RcIG4vvHGG/jud7+Lb33rW4hGo2i1WhO36OE68Pv9mJ2dRaFQQKFQEB4Sq3NZfKeL7U5OTpDL5QC8QnCZsuTJRkRWWc1L4aEGiURClCA/KxwOS1EGESy/3y+o7qSi04BWI0/doHUR+aD5fB7ValWq8Gu1miBzPJaSxxAfHh7i9PQUuVxOirbcbrc4vF6vV9JmnGPyw3VQNo2uobKncM3pdTcYDBAIBOSoZuACXdzf30elUsGtW7fk8IlgMDiyV9i9g8euHh0dodls4vDwUI7tZgCki7e0brGO+6Si0Rw6+Bq16fV6oqtZab+/v4/T01MMh0O43W5BiprNplB16NAQKQ4Gg1hZWYHL5cLR0ZGcNEZ+KJEru/3iqO9erycFouSO6iLFqwrb8nGvBQIBnJ2dodlsSrpbB/PWbJY1gGbaORqNjowZCwi5bvXhMRp1pd3SIIR2FqbJaln5iVb00Oo46tZZTCvz4I9cLod4PC5rv9vtjjTPZwBeLpeRzWaRyWSkdSIBMABit8b1yp1GrOvcaos0H1Q7WNRBep1zDC7jv9JP4c+8rg7ArWNL288WkpM+p6aMEGiiz6aDR/0sdF7b7TZKpRJOT0/llEV2uWBHJ84ng32uTe5Xvc6pA/Re0/7GVamCU3Fe9cAxWuUAcxLYaDgajWJpaQm3b9/G/v6+pDtoAOLxODweD+LxOM7Pz1Gr1aSvJIsviD4wYpufn5ciE5KJgVcOleZNfh0xTVO4k0x1aWP1OiXA/2sHj1+X3ZeO8qxfRLCbzeYIMjapIgIgi5jGl+k7LmZrw36r86o/VytGTZznM2sUVStQ/p9ChatRe00DmUSy2awoQbZ7CoVCuHv3rvDGSFMZh8DqAIyKgk3/m80mjo6OJPVIlIrPYI0yyVUDLnoev/322/j+97+P+/fvY3V1FYZhoFAoCA3mqsJWNCyyi0ajqFQq8ryxWAwzMzOYm5vDycmJHIbAPrp8rlgsho2NDayvr0vak0UnpmlKVT47QKyvr+P27dvw+Xw4PDxEv9+XXpo0uERTGMFz304qep1oRU7lT2XLOYxEIsLhbDQaODg4kEI0OuMMEthFgAgs71nPudPpxOzsrHSD4P4l0swC0UlSXVqsyIvWKdyXwKvzv4kiHh8f4/T0VNqT0dCzxZA+Ea/b7coRxY8ePcLOzg7Oz89ljczNzcmJb6urq4Ja0oHVKeFpHFirUTZNU+ZNF5wyuGVq2TAMzM3NIRQKoVqtyrHYdIyoC3nUZTgcxtLSEux2u5wSR31CTiV16N27d6Vxuj5OlcDKJJLP52WMyEvkcwAQfi9rM6xjqNE17XyxsHBmZkYAhX6/L8d2ApBWaFaki0DEcDgUGhe/prGJ1G9WQIUOqwav9AFF5Nl2Oh1kMhkcHBygXq8jEAjIfXONWrsg6B7hPMyFz8SxoW10OBwjfZenoe9ou6wdV9pFK3CjnVd+ng7CdGCtgwpek3UnuuPGZYikLuLTGepJhPQpaws1ri0CfvqELz4r9a1G7ylcb/yZ3QhmZ2eFmsUWmqxzYpZO98zXQZYuJn+dTIW80pki94I3xcE1jFdFBvF4HLFYDGtra0ilUpI2oDJj5O31epFKpaQ9yNnZGbLZLPr9vvQ3ZUPcWq0m7Rvm5ubgcDgkMucA0kGeJhLjYLIYoFQqCTfK7/ePpAP0AtVjpCMYK7KoP4ebQEfOwKu0KDd4p9MRBKlarcqYT+O8si8eU6FaGRGtoJOnkS393PqZdcAwjgPFDaMXqFUhaK4iHR/DMMai1V8lrBLne0lz2NzcFNL7Bx98gL29vZEeoFZ6CMdEb3Ty47RcNr+8B+CCKnDv3j383u/9Hr773e8ilUrBNE2Uy2UpmJlEUqmUpErZL5k0BiIY4XAYqVQKh4eH0hfZ5XLhzp07cnb40tIS7t69i3A4jN3dXbx8+RKFQgGmeXGUrt/vl+IKl8uFt956C+vr68I/7Ha7cvJbJBKRfU86BdOc06zTccaS68LKrx0OhwgGg1hcXEQ+n8fu7q70reUaYDBEQ0vkhkpUn2Tj8/mkIj+ZTIqDS/4WC0q0Ap5U17zOGdSGORqNIpFIwGaz4fT0FDs7O+K8MjAggsI2dACkYv3g4AAff/wxHjx4gLOzsxHUmSdvzc3NYWFhQdK3uihI7/lJRTts2hnQz04HSLdZnJ2dlTaLRMbp0LMDDYsBSUEgZUJzRxlgsBUTQRPaD2bxdLeFSeTg4EAcRJ74xO4VRHSB0cybDnS4bgiSkNLC3rQ8AIHFyewswHVnTduT/kVnmbqZwYG1kf5V5LLMlP4fgR5+Z+H0YDBAOp3Gy5cvkcvl5CAVHrLDMSLFi8W+PMEuk8lIazii5IVCQRwtOou6OHMaXXNVWoxeu9rZpGPI4If/04EDP4drUNs+6iKtj3RwoAtGeR+TCJ1p7RhrqiDvmRQzgiA87jeZTMLhcEi7snA4LPxZ6li2iOMppAQ/DMMQ0I1/44lbGvSkg8zx/MpnmmgE8OUBZdTEm+AgtNttFItFlEol4SctLi4ik8lI+pJKqd/vw+PxSLNoEul3d3fh9/uF12WaJnZ3d1EoFCQqTSQSME1TUDHtSE2LFgAQA1ev15HP51EoFOSQBO3QsXrOikpq59P6pReyXqxUZDptTmXPakG2kKGimGajkpdI0emOer0u/D8rZcCa4rQGLJrzakWQ+XzjEE5em5/Po1Sp1Cclpx8eHo6kkdmKJxwOY2NjA/F4XJ735OREUtyvQ2D1d6uMW2P6Wuyt+sMf/hDf//73sbGxAdM0ZS7peEwiCwsLME1TWs6xrQmv2Wg0EAwGsbS0JA3qj4+P4XA4cPPmTdy+fVtSPy6XC3t7e3j8+DF2dnYE+Xr+/Dnsdju2trZw7949xGIxeL1eFAoFPH36FEdHR3C5XNjY2MCNGzcQCoWk5R1bHEWjUTnqc1IZp6h1wMegiMgq+fHz8/NSBHp8fIx6vf4lTpcWvZ+BCwQlkUjA7/eLc9fr9aRAb1zl9jRBsnVv8G90QligFY/HhfO/t7cnp2ZVq1UxhtSfy8vLcgQqu7gcHBxgf38f2WxWUvEMTvb29sSJI3rJVlRsQ/i64OyrhDoCeMW9tAb3zJKwNZZhGHIgDHuasq8pALEtpM7wOtQbtEl0XpPJJIbDoQT+PLjDZrNJEAK8OsxiEtGHINARI00DuNC1RAnpYI3rycqCptPTU5yfn6NYLAr6TaeXjgapBVbqjE7d84ttyhiYsU/4pHMIfLkGg+NOB5rz0e/34ff70Ww2kcvlsL29jZcvX2IwGGBhYQGpVArD4RDZbFb6C0cikZEMCgv8eHJZPB5HKpWC2+2WrAmDd+Di5Dye4vV1ekpf5vxaU/jcn/ziGGkHkeAenXS+jwE9MErJ0Ol0+h8aceXv+n4neT4GFJwjvba4t3gACvcj+8xq8JBrjj3GGVhx3Jj1AyA+FA/eYPcJdgKxZia4lr4R55V8Qh0NaGFERI5qOp2W1OaNGzeQzWalL97x8bF47zwHl+jr7u4udnd3pbF9KBSSKLzX6yGZTGJubg4ej0c4UURCiI5eNZqyijaaPE+cFa2s8NbpMGsENS4qtYp28PTfaCy0M0yO3tnZmRwMMEmfUqsQidBpFjqdTNsRfdUoqjW1qdNcmriux10jtuPGWfNluWGJLpA7dJWGxVrIeyaXmpF8JBKR4j9+/s9+9jMcHByI4bLyiaw0AO3EX8axIr/UNC9Om9ra2sJv//Zv44c//CFu376N4XAoJ3P1+334fL6J55JHszItU6/XMTc3h1qthmq1ikKhIIZ7c3MT5XIZx8fHeP78uaStvF4vqtUqisUiHjx4gGfPnqFQKAC4MMrHx8fCFeTRyIeHh3jy5AkePnyIXq+H9fV1bG5uSj/Rer2OdDotiOzq6qoUCkwq48Zejz95jzynfjgcjrR/YjP0RqMh6IC+hhWFIA9zfn4ei4uLWFtbk9Z9DKo4Hrr9kfVepxXeE9eV1+tFIpFAMpmEx+PByckJ9vb2hLsKQDIBhUIBJycn+PnPf46XL19K0Vomk8Hz589xenoqPR5pHNvtNk5PT7G/v494PI61tTUkk0nRAf1+X05Nm1asBTTaOGmHgV0DDg4OcHR0JAdvpNNpHB8fS99mAJKWZ/aJGaNcLofhcChpazqV7I/L4kXuGd4HMwREfyaReDw+sgZ0QK/TxMwQEP3U2QjtzGvqleZO8h6ZdeAJgjqzoT+TDgadZ53tnHQvag6t1R7oOdXBhMvlEsdzf39fTr3jWs5ms6hWq+K4BINBzMzMIJVKCXf57OwM29vbUm/g8XiwtrYmB9BwT/d6F8fq8kCLSZ1zzp3WMRqk4vhrB5K6nc4y1zmfX79+HHqqi7g577o4Vjfy1+tK2+RJhHQn6jzaVDrj+rCLcDiMVqs1UmAHvDpchP5ILpdDuVwWOg+7gmgAq9FoSNBos9mkyIuONAErnvbHOqarrNGpnFdgfFW4Hnhy57LZrFREb25uolAo4OzsDF988QWazeZIQc8XX3wBj8cjrYnK5bIgSR999JE0i//Wt74lvCWe7jMcDgVBCAQCYx3rSYQLuNVqIZfLSTScSqW+RHzXaDTfO+47F6FG8qxcm//H3psHSZ6e5YFP3mflWVn31dVHVU/PTM+MZixpJCEESF5sgwGDl9gQYG2s8e7PsbZsFBLCZhdY7OXYtWUgfjKLWQgwPli8FksgMEZmBA5pRtdoRn1Nd093dVfXXVmVV+VVeewfWc9bb36d1V2ZfVYrn4iK6s7K/OV3vt/7Pu/xkTkmaNFnMhksLCxgYWEBmUymY6zmYUGrke3h99JNRZeBZjX0uLBdJlMMtAer6z7qA8u0ck0Gl23kJu/WzTU2Nib1JblJWVrH4/FgeHgYL7/8MgCIK44KVydwfEwXXSdwQwIQg+3ll1/Gu971Lpw+fRqhUAjr6+tYXV1FPp/H4OAgotFo1y5LvffoWh4fHxchsLq6KgfCzMwMtra25J74dDqNS5cuIRKJAAAKhQJWVlawtrYm/WJJKWaanjt3Dl6vF9lsVuL85ubm8NJLL+HYsWPwer1tdXV5K9Lc3BwGBwd7ikPTYwq012wms859xyzlWCyGoaEhHD9+XMql8SDM5/NtxoZmPHjoDQ0NYX5+Hi+88AJOnz4tRnM+n0e93qqNyJqknAeznd3A3As0LBnXNzIyIleHskYrDwlW/GASxtWrVyUOmYoEZSgTC3Xb6c1ZWFjA8PCwJNVOTEwIo9IpBr4b6LAfep24R8iONptN5HI5vP322/jKV74iyWg0ptPpdNveJLPKPaM9WmSWCNZg9fv9GB4eRiKRwNDQkLj6dbkuuqe7wcmTJ+XfpvLDs4lhACw/x6QbKsq8DIelzuLxOPL5vORamMydw9FK2GKyGL023AtMtvF6vVK7lsYWlaRuoK/4pQLd6ewjW8fyfVReeUtYLBZDvV7H0tIStra25KZNXh4xNTWF559/HqdPn4bP58PCwgKCwSBeffVVXLhwAcViES6XC7Ozs5LlXq+3qg+tr68jn89LbHq30PK0k7eR5yTZcLKEjBHlnjNzUTp5VBh/r40VndikmXOTDGOpt24VWK00cy1w/1Wr1bY43Egkgmq1KmEsy8vLyOVybSUZGZ7GUCoA4u1h6A/Hi2wtr55nRRcA4tFaX19HNptFPB6/reTfQehaedX0MCeDQhfYT+hiPToWmmZ86jPPPCMWF6/5o5tzYWGh7bsokK5fv45wOIzjx49jfHwcTz/9NE6cOCEFxckWMauZzBfQ+4HCRVwulyW79+bNmxgdHZWiz3yvZuy4yA9SbszXTSZIt5fPY+b0lStXcPPmTYlZ6xU6ONzc6GQuGPumY1kPcrneKbZXK7imwk2XCw9ZHlia/dAB8YcFXRJM6uCNJMyG93q9mJycxHvf+14xxl577TUsLS3JRuZYmP2409zSACDGx8fxLd/yLfjABz6AkydPyoZkCSZmkQeDwa5L9NAVSauZ8Y6jo6Pibkun01LpY35+XliOa9eu4dq1a3f9DlrTmUwGV65ckddTqRTOnDmD559/HmfPnsXIyAjq9Tpu3ryJlZUVOBwOTExM4OTJk5iYmIDf7+869APovHf1a/Sy8JBnkX2fz4eJiQk4nU7EYjGkUilcu3YNa2trEhJDpazZbCISiWB0dBRjY2Nyscbc3ByGh4fFnctYPCoDOtSnFzYL2N+Hej/oEAbGLEciEWxsbOD69etYW1sTlphJDw6HQ1zrlK1UVGiE5HI5kTOMFSTJQPk2PDwsoR4TExOSENbrNdTAvhHKfmkXKABJfFxfX8e5c+fw+uuviyFJ9rST58X0etDIB9BmCLLCyOzsLJ5++mn4fD5kMhncvHkTY2NjSKVSbQm/3So+ExMTANrZU84pjbm1tTXxlpVKpbbEVZ4zlLG8opiKNde0rjJDhpghADRGyAjS00SZR0WW6HatMgaea1KfBfV6XZR03p7FGzDT6TRWVlZQKBSkUsb169eFMQdabupkMonp6WmcOXNGvDiM/+TtcmtraxKjnUwmxSAuFArCwnLeu/XUaXTay9RvOK/sM+tYk7HkmuQa195Hk+zi/83qSGaogdYvTPKnG2gSSYc6UEnluRsIBCRuNZlMigHJPA/Ouz4LtZLPJGkdSkiDP5FIIBqNSlhNpzwXM+n7Trhn5pWLWrORXq9XXCO8l3tzc1NisugO+/KXv4yLFy8K67O5udkm1MbGxhCPxxGJRDAzM4MXX3wRL7zwAiYnJ+H1eoUlzOfzcLn2ry3rRP0fFqYru1KpSKjD9PQ0xsbGRBjoQaaC1Sm4+iBoxZWLWC8EMkp09/J2GRoQpOd7gRa2epMxDoXuZ9L8nVhHvRH0wWu+B2hnmXXIhcPRigVLp9Ny0GgGynTjHwZamfF6vUgkEreVjGo0GhgaGsJ73/vetlgm3nplzt1h5lO3Mx6P4/Tp03jxxRdx6tQpOJ2tZBsGqQ8PD4srULPvh0UymRQ2hLF+jHtk0uP29rZU5xgZGcHzzz8Pr9eLcDiMy5cvS0H3bnDs2DE899xzOHv2LGZnZ+XykMXFRVy4cAGrq6sYHh7GmTNnRHGlEOsW2jugDwM9D2RgqYjxNi+/34+pqSlEIhHJpKecYUISD7uRkRE89dRTOHHiBIaGhuTKXGA/ppFsFpUF7vdeZAyhWRWgPWyIh3oymUSj0cDi4iKuXbsmrKuO6y+Xy0in0+I+16EeAERx0fG6moFzuVzI5XLY3NzExMSEXCu7vb2Nra0tqb/Zy6GpY+SA/b3J2D+Ho5XMsbS0hGvXrmFzc1MOPCaDmOx2JwOaRgbB2+Z0zV8acEtLS3A6nZifnxevBVmibg1lnWyr5TnnlQor4ww160r3upaJOpyAMofrQjPgpqJsJqdGIhHEYjGReZpN7HYet7a25ExkOBbbx7haElBMwNasM+djd3cXKysrqFarGB4elnh7ekqmp6fhdruxsbEh4zgyMoJnn31WvEnFYhGZTAaDg4NykyLn4V6SQ/V5pc8c/Tq/g+NP44KKNveVvt1PK3f6hzH7ZDtNxVXXcuf3m4x3t/3T3mEdAqCvb9chKolEQs7i7e1t8W5pZVyPtelZpswkmxqNRiXUgoYpve/MT0kkEpLMdzf0lLDFg4SbBWi3LlggPRqNYnt7W0pf1et1TE5O4tSpUxgZGcGxY8dw8eJF3LhxA2tra0in0+KeC4VCGBoaEjbp1KlTmJ+fRzKZlIQuMgr1el2YEB0AfS/spD4oi8Uibt26hTfffFMCl2lNaKGgY4rMA1fDFHRa+deoVqtYWlrC66+/jq9+9au4ceOGZOyZIQndQC88fQhrq4eLa2dnRw4Z8557fr/uw0FFuc2FTmVRJ4kx8Jvxp70E3gOQoP5gMIixsTGMj4/LYeZ0thJ8CoWCbNizZ8+KEPzSl76E5eVlYUcPims1x4BjSGF8+vRpvPDCC0ilUuJdKJfLUhlAu/vIlHWDSCQihhuZxGazVWGATGgul8OtW7cAAKOjo1ILlHfa37hxQ+pHUknjczinrGYQi8UwMjKCubk5PPPMMzh27Jis/9XVVVy+fBm3bt2C3+/HiRMnMDc3J0kYndb2YaAP2k7GA/eBvhaXCiwVNcY4z+zdIrW5udnmknU6nXJ4joyMwOVyyfrg9bZOp1OyoVmWv4mxAAAgAElEQVReqZPw7haagdGHl8vlkjJWgUAAW1tbuHz5Mq5fv45SqSQxjFReCZ/Ph0gkgng8juHhYSldtrW1hc3NTdTrdSmrpjN9AUiSDNlsn8+HUqkkCsjKykpPfSwUCmL8VqtVbG5uyi1LTOrgDYz1eh2pVArJZBIulws3btyQWDnOvS6j02w2JaaTRAbDA1j2LZ1Ow+v14rnnnsPc3BxcrtZNXUtLS1Ijdm5uDgMDA+JG7Qb6M1yvmoCg656eFdbRpfeMclXLYTO0ikqOVoypOLI6DNcN80vIuOrMdeB279BhQDdxPp+XBFG2UVc28Pl8EkvPmO1EIgGn0ylzzTjkiYkJDA4OwuPxYGRkBLFYTJhUlqyjh2BsbAwvvvgiVlZWZH1S+aMnja/1EhbRadz164Q2Nhh/ytrDPPf4dyr6nEPtXWXbed5Sl+JYMueDxorWrXplXjmPms3leFHh1pU7qMMxjNHn8yGXy0k8uY7rpsLL/uuyprwmmToTq70Ui0XRDRuNhtxIx3jlw7DnPV0PqzVrDT1B4XAYyWQStVrr6lCyPLqEwpkzZzA1NdV2uwYnjlo74yRYXkO7RNPptCS8UPiaSnWvsVqaVXY4Wvdsv/XWW4hGoyIYxsbG2u4HNgPnqfjoNhyktHJB0XphHOa5c+fw6quv4hvf+IZUZmC/TCXxsDAte7aB7dcbjwkbjUYDkUjkQCVL98e09KkQa3cTWSJmLLJf3MC6Xd0qPjy8wuGw3NBCt1IoFBKXFg/RQCCAs2fPth0GjCs+zPqhMPH5fBgdHcXzzz+Pl156CcePH5eDn96BeDyOWq0mxeG1+7lbULCQ0aE7eWhoSBLdKByAVhgDGYvBwUEcO3YMq6ur2NjYkAxzsmIcFypCzBJmDGY8HofD4cDKygrOnz+Pq1evSjzaiRMn5EKScrnc8Zauw8DcP6aVz9e4Xskc0GtQqVQQiUSEMaV7UsdxUs7ws5lMRgqmc055QQBjB3thkTtB73seiLu7u5I0lkqlJNb15s2bEnfGMjMcV4YxDQwMSJgEDSS6Brk2dNhDvV5vK+KfSCQwMDAgSghvOFpZWZH90C2KxaLIkkKhgPX1dWxtbUkFEOY3lMtlxONxxONxpFIpFAqFtrKKwH5SHeuEatnPBJN4PI6nnnoKgUAAKysrSCaTOHHiBF588UUp1RiNRnHt2jVcuHABzWYTPp8Pp0+f7mlutTJhMsScVyoBZFvz+bzUp63VanKwa/nY6VkEzxaW92IMpV4DVFxNz2CvxhYVbl7cQdZOu8+TyaQo4sViEYODg5ifn5fPuFwuTE1NAYAYgj6fT2Ty5uamEAbUAbhHRkdHRdml4U8Wkd4EkxnuBp2MZG1UauNJs66UJdyHfAblp3kW6hAEPpthCAwNoWzSSd2m57PbeaR3gmuHtzC63a0LP0gg1Wo1yR3SbDKNQSa/lkolmXsacDQkSezppEKdLMZQprW1Nezs7LQlV9MDchhZc083bOlNpTcdaWcG/rKUDasFbG9vS62wRCKBU6dOCeNBC1WzNcyoZWYbYyWazaYcsFSsOOn3An2osH8stPzmm28KA3n27FlMT09LWReCSq9msMyx0i4EcyEWCgXcunUL586dw5e+9CVcvHhRMmnpZr4fyqvuL4W2dj8BkPEmuJh1aINm33XfOBbaCCBjQGGYzWaluoF2l2j3Si8bNRgMSmA4k+7IItMtQWOJAvTYsWN4+eWXUa/X8eabb4rBRWvRLPekxwxolQh58cUX8b73vQ/Hjh2Dw+HA5uamZEoHg0Fx8+tb5jgW3YDuVCqvXG8MjOfhxmczQ51llyYmJiSznFmlVPiovFIxGB4exsjIiLh0yuWyKCEsR+V2uyWukHeWMxadymG3uFP4DdcE+81Djfswl8u1ZaXrQ5xKP/fk7u6uJJBsb2+3xbeazIFm/fjblBW9ggJ7YGBADDDGTDYaDYyOjsLhcMgFLU6nU9YuL1Oge04n8XAuWSVBl8xhPBtDbJgc2mw25TpWs33dQHtxCoWC7DmPxyM3y21ubkoZJ54bLpdLEnLpFWFfmG/A8mj66lAdGsQ4PtboZYUPffsWk6l44U23yaGdFApTWWGCDIA2Vp9Vcli4n0pZp9AB9kcnbpFF0+5ZGsXaS3ava3NpaUkKzZNQovHDPjgcDjFI2K5QKISpqSkpu0hliW1ibC7HnN4fXTFBEypUhpxOZ9vtaVyjLJ3V7RzqOdP/1yy1Dq2jnsEzQXui+VmyxtoTqQk1flazrdR/zHNGK9N6XXTbP4b3mdUjtELeaDSEPWYYBomBSCQihBONJn2ZCcNFqbzqWGsa5rp0Fr3muvoGn3UYwqqnsAFT+TL/zsHiNXcsncXFxgPC5XJhYmICp06dQjwelxgIugaazSby+byUvMnn87JJgsGgXMdHy1bHiNwv6MOpXC7j1q1bbRNBFwgL82pXp1ZaO7nOOwmUQqGAhYUFfO1rX8Orr76K119/HSsrK23uKa3Y96q86g3BftLi1cwUF3U2mxW3NK167WrRBgtdAHR1UQnhhtHxiRR+LM7NxduJZTss0um0KCUMBCdrQIOHG6tWa93As7W1hWg0ipdeekmy2HnY8gA2oWNVvV4vTp48ife85z04e/asxPE2m01x35Iho8VNy53rvhtQ2aD7l0YNAFHQ2S7ejb64uIhcLoexsTG5YYhZy2QStFDTt2PR5cNwhOvXr+Ptt99GLpdDLBbD8ePHMTc3h8nJSUmiohLEA6lbmHFnnWB6MeiKY7YzY+R4MHCtUpnQ8opCncojr83V9Re1ka4Ptl4UBH6Gew9orRFe2wpAwhwGBwfFnU7FhMYKK02Mj49LHKF5QOkkDSZUsJwhQ0+azSbS6bTs+Vwuh5WVFayvr4u87haRSESUjVqtJmcCy+HoG5m4Z7lPBwcHJQZfzzXj9Fg9guxpMpmE2+2WxE8qBW+88QauXr0Kp9Mp50+tVsPQ0JCUB6OR0qvyahIT+u/8P/eljvmjMsDwnHA43HblObAfYqWVHIYoMTwvkUhISbBe4z4Pwvnz55FMJtFsNkVWsF1kf7kHST5Q7lKJ0WPEfUP5QmMlnU5jdXVVkj7J/IfDYZGXXMvMhOc5QqWLDF63MM+bTme2Jpu0/qOJHBI1PEc108o9y71pJuXpfBnTeGEb78UQIbOp84pIGvL8pueqXq+L14oeAX0LFy+M0IlgmnDSTDQACbFgqBvrD1M51nkzhw0z60l5NR+shbAeXFpavDmDmas8VLa3t0V48TaVYrEo1+z5/X5JRqDblRubzC0tbVp7wMHxK93ApOo5qJVKBUtLSyLIy+UyTp8+jenpaQwODgor0g1YTzGdTmNhYQEXL17El7/8Zbzxxhu4efOmKJJaUWQbe3VhmouEB6i29IH9mrCMf6Vg1De88L1MUvL5fPD7/ZKZSuHLA4yMGJVDxrtSONHi1XGx3YJMDFk3Wu4cSxa5pkJZq9UQDocxNTWFVCol4/DGG2+0JRJ2Ujii0SiOHTuGd7zjHRLrydJEdKVwvAEI01cqlRCJRNoSAQ4LHoTacma8EK1rsjGbm5vClPK7K5WKKKWsrUcDjOueMZgMPyAzwoQwuvPm5+cxPz8v2eoA2qo2UDD1ClNBMPe2PlC06zAQCCCTycj7qNDo/QSgjTHg5ScjIyOIx+Nt7IvpkdFyphdZw+eQVdOhUszYLhQKktBAY5DQzInD4ZDkJI6Dw+GQvWvGNXNe+ZouacUDjsotyYZe6mfyelCyoIy3JTtarVYRjUYxPDwsZAVv9yqXy1K6R8cbM3Z2fX0dxWJR3JtUXHQyCm9r5K1PwH7iGi+/mZ6ebkvo7AaaSdQ/pttflz/iuNC9TSWAV02TCQbaiQoqQ9z7XCusskPPg6nw3Ms5CLRikiORSJtMJsmg1xm9ZzR8dZspq7iutIeNLupKpYKbN2/itddeQzabxXPPPYeRkRGMjY1hd3dXdAB6EKrVqtRxZlWVXkIGgLuHDXDv6x/NrAJoM9C5toH9UEmdhKXZdDPJW68hzfRqb0K38pTP0nGudOVTZpLM0RUDWJeYe5Zn1d3OK/aXP1TQTaZWs++aZT9M/3oKG2DjTMvedINrVoMaNhVZHvD5fF6YRTPelTFmTqcTqVQKwWBQXDAceE3X67iee1Ve2Uf9by6sRqOB1dVVKY5848YNPPPMMzh16hSmp6cl9ueg57F9XChksi5evIjz58/j7bfflmQaxn/q8deJVb1YmYS2dPhssldmyQpuHFrUwH59QlqQiUQC73jHOzA1NYVisYh4PC4KPw9QKpSM+2IMDeMP9Tjpzd0NRkZG2phXrifW/11bW5M1Nzg4KHVheaCEw2F86EMfEkv1i1/8oghlCjOOy8DAAObn5/Hud78bL7zwgtRCJcPLNU3mjm5Zxt4NDAxIHc9uoGMB9V6gkGM9wEAggMHBQUxMTGBra0tqfm5sbMjYkL3RQfUA5EBiciRjYj0eD5LJpFQcYDknrdyRUXE4HFIcvhd0Yhq04WC+VyvMdCPGYrG2OptM1iJ7ReGpmWYdgmB6S0y5Yhp8h4UmAbTySpc6Y1K158J0BVMh2NjYkIoDlLMMU1lbW8PS0pJU89D7SsfW6fbzNa1w9cL46KQwsti6tBOJCCaSra2tSV3tbDYLAGKEpVIphMNhUT75+VAohFQqhVQqJdf58mKMtbU1LC4uStUD3vhUqVQwOzsrxqqZld8NOjFi2uBhX8k80bCkwkkvDy+GYfIZlR+/3y9hUBwrhuLQTa7ZeI17PQMBYGhoSIgZMuGNRut2SLLFrBLDcJtAICDel93dXTGO6/W6VLGgUUMFh0TGjRs3sLKyAp/Phw9+8IMYGxuDx+PB1tYWnE4nIpGIKPmXLl1CsVjE6OioXI3cS6ksygae7zpkQesT2ujVjKomfnhumntUV884KEEPaN9nVPK4T+lx6xZsO+eIJAW9VHwP/6aTNSkP9YUXd2NGKWcZJsRn6yu1qcRS5moZ9EBiXjsNup5MrTWbCi7vzQVa8YGDg4NtV68ywUBbddzk3BBOp7OtpIx2Kd1rUHqn/lEZ0K4OusFo1d+8eRNvv/02Tp48KW4oBj2TMdA1GVnWhRcxkHF96623sLCwgO3tbbjdboyOjmJ0dFTapi0fna3YLTR7q+dLbzZuQB1DTDeRzm6l0OfiHB8fx/DwsMTL1et1bG5uSoiAViB0jBOFABl07Wbpdj7j8bhsdMaR0RBi7UX2k9nJ8XhckkSCwSCmp6fxwQ9+UA6QCxcuCFvKjRWJRDA/P4/3ve99eOc734lkMilX9+oDutFoyLphGTIKYj6nW+Y1nU53VOrJltLC1Uwkr8WtVqvIZrNtLjcahFSEqaRrRYdKCNf1xMQExsbG4Pf7hTHTwpvMCsNEusWd3GR3cp/xdSrvemyoEJZKJQDtyR76mVpZNNvR6aC5V2OZ671ebxX65mUDTEqlHNSuZ73/6aHKZrNta6lYLGJ5eRlvv/02lpeX5fDk3iKro8OQtLeJe/swbrxOYAwfD0nKQY4v76znD1lEHmg0MPUZUK1WhX2j0sQLQZ566ikJXQEgHi32+datWxgZGUEmk5G6vjS8qLx0A00uaMOC30ejslgsihFYLBYxMDCAcDgsoREs+q5vJFpdXRWv5NjYmNTeTCaTYuRozwBDy+7Wh277OD4+LqEeOtyGymswGBQPF68SDQaDUpJOJ0fS6CC7TAW+Wq0iHA5jZmYGZ86cgdPpFAOE88vzkwm4zWZTwl4oC1mas1swfpNrNBgMyjiZ7nyeHVQqTY+zJoA0yaCrC5ihBmaogP5thtHxtW6gz3HKeh3WyLZo/UJfVMIwCO43rm3zGWw3z1+dQ6HDQTlPHD/KBCZrHUaWdq28Mu7NVF41lc6DoFPChabbGSCfSCQA7GfE6TqA1PhpKdB60JaD6aox/90NtBsd2LcOtCWg+1Mul6UQ8/Xr1yU2jdc6Tk1N4fjx45iYmJDYHl71ev36dWEYdnZ24HQ6MT4+jomJiduUVJ1VrOvoNhoNfO1rX+t2Gtv620lR6cQmMU6LMZrNZlPofiaFNJtNqTFJtyOLV3Mhm64SzU7oDavdwd32iYKcFn8gEBCDo1gsym06dA0Xi0Wk02lsbGyI+/jYsWP4ru/6LlEYXn/9dTgcDrF+Z2dn5fas4eFhYdGZYU+Lm2yu1+uV2FYysbRwuw01uXLliowfsJ8YQ6FBw4FKAz0WFNAszr61tSVKD1k+Po9hOrFYTOLLmfiTSCTELetyuaTvPMy1wnfYGKZu51ijkwJB6EMFQFsyi3addVJOTZjv0YK7V6NZyy8qm/QM1Go1qSAwNTWFeDzeVmWAaz2TycgB4HA4hCEhw6wzjU1wLHX8HsdLs069KOeaiGCbKLd04otm7f1+PxKJhLCPlAHN5n5YAY0hegYGBwcxMDCAVCoFj8cj7JvL5UI0GpUxYAb87u4uYrGY3OZDZr7bsAHWWD7I5ctzkOEX2WxWZAD3m0465iUGa2trWF9fx9rampSkGx4eFveueU4R3azdw4KMK7AfCsh+ao8Sz2USBpRJOkaXZEc4HEaz2WzLjUgmk3j66acRi8Xw0ksviWHJvUDWrlqtIp/PS5UiEkEDAwNypXC3oIKmb5vSmfk6iUzvC8pc/o3yjvtTj5UOByIZYBINen50IpjWrfi3bqENKq2j0RvKPUn5Qtc/zyh6H6no871U1rUhpZV3tpteF7aDJdEoozSLfRhva0/MKxUdoLPA7qRw6GQdYD/mMhqNtpXY4I0LdHtS0FGQc0K1dWMKWG3F9HKgmLEdZCB0UDH/rms+Au2Z6dwQnRLJ+AxasxS6ZMl03Thdz07/m3Gd3SqvJkPN9pK105aPHj/OA90B3OhUrvkab9HgzVlkXmlVaeNDP1srrlqZ6BacA84RC+Xn83lsbGxIdi+zspk5yatVmUWbSCQwMzODl156CefPn8etW7eknBBZ13e+850YHR2Vz7N2qHkYDwwMwOVyCTNGVmFpaQmlUklcXocF627qNc99yXnSY62TjrxeL8bGxjA5OSkKPbPtOf8UcgxrGBoaait6zu/mnuBrLP6vwyy00O0GBzGc5mv8t2kkm+tYK3H8LMfKZPj1HHZqk5Yv9+LpMVldHX/KEkSM/2fsJ+eRTBRlayQSkSQmyivONxUBc9w0TCLA/Hcv0Ae5lpVa+aKM5Hqi/EulUuIeZvkzKiw8PMm+McTA6XSKQkP5qpUot9uN4eHhtkQRHt7aeO52/rSSQTnKeWHyG6t6MPmN3iiWP2OCDCuPZLNZLC4uSv4AFXI9F6bH4G7oxQhhEhjDFxjKx+8HcFt5JwDCsHKutCLYbDYlWU17dbze1u2H09PT0ta1tTXUajUkEglh1LWhzmtpWY2IdeW7Act18cwwk6+B9lKgQHuClpZz+ofzQp0iEAi0xYHSgDFJIkJ7rzXT2S20vNJGqiaotPJI0sPn80lFDp6p5n41z2rNTOtEV34vdSPqeVRidcWBBxI2oDVjHnCmMNLvPUjIa6GtJ8gMataHhXZl68/r5+hDq1fWjkkbrC3HDev1eoUN1fEf2oXPCWeWJbPveejT1T42NoZoNNpW01T/aDce26Vf02xlt2Asp55LjjkZUR3HrOdUK0d0qXNutNuKQoWxXBRitDCpvJoxrXxdB8h3C8a26kB7uoq1YsAECTJerGmra9IB+xt8YGAAY2NjOHPmjKyNeDyOUqmE9fV1uYKTc69jlHhQcg3R4uShtr6+3lUftXtF75VORpw2TGgM8kAcHR3FzMyMCBTTiNDJTxREem64DsmIsW1cG9q46Rbm3B9GaOv2axnAtc7XtXJmxup3+q5Oben1ILkTdDiADukplUoSXqUVU44/1y8ZRKfTiUql0na7k+5/J5hKqh4f/r9baKOJ60YzSjo2rlAoSAY5FQltcNFDpD0+AwMDUidaKwVUCrXXjjGymhXkwUmZ1628oUHAvrCCCMMAOB8MX2BCnWbteJ7pdcpxYdF+KuzA/llgEgCHQS9zyNA33lSoDQJtBDKZk3Hx2jDkfLFKQC6Xw8bGBtbW1pDNZkV5CYVCcjHRwMAAAMg5QmOFnr1YLCaeYIdjP1uexEk3YCUPKpmafAD2lXTNfLJvlG/cl2ZIgFZ66XU2WUYzPLET7kWvMV38eh1QYedzNSusY1B1+A8NTO1NMY1/8wzVBAKTRbUuyT5pcvRO6Fp55UCbFof+cm196YkBbi9JwQXAWn6Mk6Bwo6DRbJzJNOnvNw/ubjcrk1Hm5ubw1FNPYXp6WuoPane9LhuhM+YobM1gbz1OVGCSyaS8phX4TsqIVlT0IdSrFcbPUXHsdBDr2MdOTGwnlwaFiN/vFwuO79WHBMFNoRc7x+MwG7oTGPPHhC1mWrM8h8vlEouXrGy5XJY4LDOWmC68arWKeDyOU6dOYWJiQtzlmUxGFF9ejuD3+2VNk3UgC8Xvo4BtNptd13llvCpDbDopW6aCxblmMlUymUQ8Hhc3n1aWiEajIUqFedBynZP9Wl9fx8bGBrLZbFucG/dLt+ikTHaz3vWe0wwi163pUdHv4xh2+s1nd9ueTjDlFQ8EYJ+B0euMMWemJ4juPV0/FGitk/X19bYLKDT0YaYNPioTup+99FU/Q48jFTRWn2HyJveqTsZisiXHRyeCUinULLQunE/DmkYyyxsC+zWttcLSrTuWRACwX3mFCVeMGWSYVS6XkzAic20yoYtx91RayeBSMdfx59yLnc6BToa/ybodFvF4HIlEAolE4rYbtvSc0itXKpWkJrLf75cxLhaLWF9fx8rKCjY3NyWZjnHdHo9H4ntnZmYwOTmJWCwmN5RRxiYSCXHB0yj3er3i8dvd3e067pW1TGlk8+zhHtOyT/+d804FVoeKmOed3mskMrRXWVf84FrSpJ2WE70orybM9vC5bBPzWsLhsMhz7h+Sd5FIpK2OsYYmI/WZrqufUI6RMOqkXB+ErpVXMn0mS6iVR9N9aQY7A+0HCweSSpCeKP0a38eB0QkVfJ5mZYHu43sCgQDGxsbwzDPP4J3vfCdmZmbaFGhdIkpbU+YBaB6EWvlkP3S/TCVVt9tUZIleFrEGv49sBLBf+oXPNxeS6dKnsNaxlWQkWQ6LxerNvmg3kx4vbmA9Ht32C4AkCunAc44Z43bYdh7+OisUaDFavCGO4Q9kD5rN/Zggh8MhmcC8BEEbYTpRhnVzPR4PJiYmxCV46dKlQ/dxfX0dt27dklqqnDfz8DWNDQBt1rP2HpgGjKlsmIqPZsh5YDNkQL+Xe2NsbOzQ/ePz74RObTX3n7m/zL7otdfpM4dRZnpVYLUyzQNE7y9NAvB7qGhplofjS8OaMbBU7MhMdmJWzTHWslyPRa/KK/uhvTkAZJ/xaliyxvQoOJ1O8WKRFIjFYhgdHRXFbXt7G6urq5IUQyORNWABSGgQ68fSSNRMGokIh8Mh7OZhwTOOCiqNSs0k0zCmMsDv0+NKWcVKIJlMRuIQ9RiStaKs4mvmXOmzQp9VJGC6Ae+mZxlILaM1Gwjsl6NjhZVYLAa3241qtYqNjQ1cuXIFN2/eRCaTQSaTwdbWFra3t8VDValU2hTBZnO/IghLqLF2PCsUkOmNRqPCvHcLVl7Rihz3l9YtKBP0WGs9wNxP5n7rpK/Q0OokX3U79FnZbRiWqTdprxmVTIdj/6riZnP/8otoNIp6vY5MJoPl5WW5+Q6AGJX6rNA6m/mbyitD9Zh4yPDMboyrrpXXX/zFX+z2I0cK3/M93wOglc392c9+9hG35sEgFovd8e/Ly8tYXl7u6dlf+MIXevrc/cRHP/rR+/7MM2fO4MyZMwCA11577b49d3FxsafPlctlDA4OYnBw8L60o5fwE80+uFwuicm8X/jYxz523571OOL7vu/7Or6uFWaHwyHK0MLCQlfP51WwjxI/+ZM/+cC/g0bRZz7zGXzmM5954N+n8dM//dNdfyaXy2F5eRlvvPHGHd934sQJnDhxQv7/2muv3VfZc1h8+tOfvq/Po8v/btjZ2cGVK1dw5cqVuz5rZWUFv//7v99zm37mZ36m588eBTzO/et1Td/fFOA++uijjz766KOPPvp4gHB065Lto48++uijjz766KOPR4U+89pHH3300UcfffTRx5FBX3nto48++uijjz766OPIoK+89tFHH3300UcfffRxZNBXXvvoo48++uijjz76ODLoulTW/YJlWX8LwG/c5W0N27a7v1fyMYJlWX8VwN8H8BSAJIAVAF8F8M9s2/7io2zbYWFZ1s8DeBHAKQCDAEoAbgD4DIBfsW07rd47A+D6HR73723b/sEH19ruYVnW9wN4P4DnAJwFMADgd2zb/nCH954E8H0A/jKAkwCGAWwDeBXAp2zb/rOH1e77BcuyFgBMH/DnNdu2Rx5ic3pGN/OoPvMygH8M4F0A/ACuAvi/Afyybdt3v2D7IaLLdeoBYO2993m05I8HwN+2bftfPbRGdwHLspIAvhfAXwXwDIBxAFUA30DrrPgN27Yb6v1Hro9Ad/J07/0+AP8DgB8BMIvWOl0E8J8B/J+2bd94eK2/M3qYwxkcsfPiTuhFBh01PC7nxSNTXgF8HcBBRfLeB+DbAPzRw2vO/ceekPo4gDRagmkTwAkAfx3A37As64dt2/7Xj7CJh8U/APA1tITlOoAQWof9TwH4Ucuy3mXbtlmw9A20+mzi3ANsZ6/4x2gJmgKAWwDm7/De/w3AfwvgAoDPAtgCMAfguwF8t2VZf9+27V96sM19IMgC+FSH17u7+uvRopt5hGVZfx3AfwBQBvDv0ZrL7wLwzwG8B8APPMjG9oBu+hfC/nyuAVgFMPlAW3fv+AEAn0bLwP8zADfRMg6/D8C/AvCdlmX9gG3bLJFzFPsIdCFPLctyA/gcWuvxEoB/C6AC4H8riIcAACAASURBVCUA/zOAH7Ys62Xbti887E4cgG7nkDhK58Wd0JUMOsJ45OfFI1Nebdv+OloK7G2wLIuM5P/18Fp0f2FZ1giAj6ElVJ+1bXtd/e0DAP4LgJ8BcBSU14ht27ddFm1Z1j8B8BMAPokWA6Lxddu2f+ohtO1+4B+gJWiuomU134k9/WMAP2/b9uv6Rcuy3o/WYfSLlmX9P7Ztrzyoxj4gZI7QfB2EQ8+jZVkRAL8GoA7gW23b/sre6z+J1t78fsuyftC27X/3wFt9eHSzTosA/gpa+3DFsqyfAvC/PvAW3hsuo2UE/qHBzv0EgC8B+BtoKUH/Ye9PR7GPQHfy9HvRUlw/B+BDxrj8NID/Ba1z5r9/0I0+JLqdQ+IonRd3Qjd79CjjkZ8Xj5J57QjLsp5GywpdAvCHj7g594JptGKKX9OKKwDYtv1nlmXlAaQeScu6RCdBu4ffRUvYnnyIzbnv0K5+yzJ18Nve+5sHvP55y7JeAfBBAC/jduHcxwNGN/MI4PvR2n+/RcV17xlly7L+MVrKwv8E4LFRXrtcp1UcMc+Vbdv/5YDXVy3L+pcA/gmAb8Xe3jqKfQS6lqeze7/blME9/D5ayutjc450O4dPGrqUQX3cAx475RXA39n7/euPW8xZl7iCVqzPX7Isa9C27U3+wbKsb0ErFubh3mV4//Fde7/f7PC3Mcuy/g5acb5pAF+0bbvT+54k7O797v6u1UcPn2VZHwYwBWAHrTn98yO+B++Eb9v7/ccd/vbnaLF6L1uW5bNtu/LwmtXHATjKe+uw6CRPz+/9/k7Lsv6FocD+tb3ff/rAW3Z/cKc5/GY8L44yHvl58Vgpr5ZlBQB8GEADrfiYIwvbtrcsy/oEgH8G4IJlWZ9Ba1MeR8ut8p+xr6gfCViW9TEAYQBRtBIO3ovWov25Dm//4N6P/vwrAH7Etu2bD7alDx+WZU0D+Ha0lJ4/f8TN6QUjAH7beO26ZVkfsW3784+iQQ8Yc3u/L5t/sG27ZlnWdQBn0GK+Lj7MhvXRjr24zx/e+28nY+NI4pDy9A8B/L9oudq/YVnWn6JFirxj7/2/DOBXHmKze8Ih5vCb6rx4AvDIz4vHrVTW3wQQA/BHHRKAjhxs2/4UWkLHDeBvA/hxtALaFwH8phlOcATwMbRiyj6KluD8Y7TisDbUe4poJTW9A0B874exP98K4HOWZYUeYpsfOPaygX8HgA/AT9m2vf2Im9QtfgMtxXsEreSRZwD8KoAZAH9kWdbZR9e0B4bo3u/sAX/n67GH0JY+7oyfA/A0gM/atv2fHnVj7iPuKk/3Epu+H61krjkAf2/vcx9Ay0j+N0fEO3LQHH7TnRdPAB6L8+KxYl4B/Oje7199pK24T7As6+MA/imAX0LLOl5FK/vwfwfwO5ZlPWfb9scfYRO7AktgWJY1jFZc588BeN2yrL9m2/bX9t6zjlYclsafW5b1IQD/FcA70Sr78i8eWsMfICzLcqFlgb4HrYz1/+PRtqh72LZtVv04B+B/tCyrAODH0Do4v/dht+sRw7H328yK7uMhwrKsv4fWGrwE4IcecXPuKw4jTy3L8gP4LQDfCeDvohXnWkRL3vwSWrL1B2zb/v1H0IVD4U5z+M12XjwJeFzOi8eGebUs6ym0NvAttEoQHWlYlvWtAH4ewP9n2/Y/tG37mm3bxT2h9L1oJaT9mGVZs3d6zuMI27bXbNv+jwA+hFaM0m8d4jM17IeCfMsDbN5Dw57i+q/RYtN/F8CHO5SAOcr4l3u/n4j5MkBmNXrA3yPG+/p4yLAs6++ipbRcAPAB27a3HnGTHgjuIk/prftHtm3/qm3bq7Zt52zb/iO0GFkPHmPFrtc5fBLPi28CPNTz4rFRXvHkJGoRDKa/rVSGbdtFtMqGONEqrn0ksVcc+wKAM5ZlDR7iI3SHHXk30F4M178F8IMA/g2A/25P4D5JYFjLkZ+vDnhr7/cp8w97c3sMrcSSaw+zUX20YFnWR9HyVp1DS+lZfcRNeuA4QJ7e6Rx5A63axNN7lwM8VrgPc/jEnBffJHio58VjobzuuUZ+CK1ErV9/xM25X/Dt/T6ojAlfrz6EtjxIjO39PozB8a6930daIbAsywvg99BiRH4LwA89IQaXiXfv/T7S83UAWNLnv+nwt28BEATwhX6lgYePvUTXf45WHfAPHMHcgHuBKU8PPEf2Yu3pIXiszpH7NIdPxHnxTYSHel48FsorWkpAHK1g7iOfqLWHv9j7/aOWZY3rP1iW9Z1oxSyVAXzhYTesG1iWNb934YL5unOvqPYQWof89t7r79xT7sz3fxtaBZyBo3ExQ0fsHRj/Ea1b0n4dwEc61F88MrAs64xlWYkOr09jP4v5yM7XHfB7aN1494OWZb3IF/cM6Z/d+++nH0XDvpmxd0nEz6F1hfa36xKDTwK6lafYP0d+Yk/2aPwUWnkrX7ZtO/+g2twtupnDJ/28eNLwOJ0Xjmbz0YfoWZb1F2hlW363bdt/8Kjbcz9gWZYTwH8C8B0A8mgpPKsATqPlCnIA+Kht249tvBIgrp9fRCuz9W20yn0No5UROotWn76d1xPulTc5A+AVtOKXAeBZ7NfV/EnbtqkcPBawLOt7AHzP3n9HAPxltKxHHhybtm1/bO+9vwHgb6Gl+NjonNDzim3brzzAJt837N1K9ONouSWvo7VWj6N1N7kfrfjz790rCP9Yo5t5VO//PbSMyH+Hlgv2u9HK6v49AH/zcYph7qF/P4796yl51/oX0KpBDQD/1bbtx6YkoWVZPwLgN9FiHX8ZneONF/RFIUewj93K03EArwKYALCAVkWCElrkx1/a+/e327b9RTwG6HYOj+J5cSd0u0ePGh6n8+KRVxuwLOs0WorrE5GoRdi23bAs66+glSH6g2glaQXROiA/C+CXbNv+k0fYxMPiT9G6pvc9aB0MMbSKEl9GK8v+l4wg/N9Gq68voZUh60HritzfBfArtm3/BR4/PAfgR4zXZrF/u80NtMrTAK1YSAAYxO1Zshqv3K/GPWD8GVrK2vNouX1CADJoZfr+NoDffpwUuLugm3mEbdufsVrX+v4jtK6t9KN1reM/RGtdP2797qp/aIVEvN94/8t7P8Rjo9hhf2+50Cof1QmfR0s5Io5aH7uSp7ZtL1mW9QKAT6ClIHwELY/pClrj8PO2bV96mB24C7qdw6N4XtwJ3e7Ro4bH5rx4LJjXPvroo48++uijjz76OAwel5jXPvroo48++uijjz76uCv6ymsfffTRRx999NFHH0cGfeW1jz766KOPPvroo48jg77y2kcfffTRRx999NHHkUFfee2jjz766KOPPvro48igr7z20UcfffTRRx999HFk0Fde++ijjz766KOPPvo4Mugrr3300UcfffTRRx99HBn0ldc++uijjz766KOPPo4MDn09rGVZR/4qLtu2HQf97UnvH/Dk9/FJ6B/w5Pexv06f7P4BT34fn4T+AU9+H/vr9MntX5957aOPPvroo48++ujjyODQzCvxyU9+Es1mE81mS6F3OBxwOBxwOp3yb/MHAJrNJur1OhqNhnxeP4d/r9frba87nU55NgA0Gg00Gg15b61WQ61Ww+7urrzWaDRQq9VQr9cBAH/wB39w6P59x3d8B1wuF1wuV9t3sz1utxsejwcul+u2z7JvHA/dbr7G9+kx02Oix5Qwx4NtI37t137t0P0DgHq9DpfLhYGBASSTScRiMfj9/rY5cDgc8Hq9cDgcyGaz2NzcRKlUQiwWw/T0NFKpFPL5PK5evYrV1VW43W74fD40m000Gg0AgMvlgsPhQKVSgcPhwNTUFF544QXMzc3B4/Fga2sLa2trKBaL8Pl8GBoaQiqVQigUknHhOFmWdej+/cIv/MJta+agtafXnx77g8Zfz6e5vvWzzHXAcem0Nvi8j3/844fu46c//elDvS8QCGBoaAhzc3N49tln8eyzz+LYsWMYGhpCIBCAy+XC7u4uSqUSKpUK/H4/IpEIHA4HdnZ2UK1W4fP5EAqF4PP5ZO2zD1yHur9Aa43t7u6iVqtJvz/xiU8cun8A8LM/+7Nte5o/TqcTHo8Hbre7bQzZDr3/m82mrMNisYjt7W2USiX4fD4kk0kkEgn4/X40Gg3s7u7K3HEN6zlmW/g65Y/b7UYgEIDb7e6qj3oOHQ6HjKu5pu4mD7R8MsdCf77ZbEof+X3A7XKL42y2y+l04iMf+cih+wcAn/rUp1Cr1bC9vY1Lly7hlVdeweuvv45wOIz3v//9eOmllxAOh5HL5ZDNZlEoFFCpVFAul1EqleB0OhEIBFCtVpHL5eD1ejE4OIharYbl5WVsbm5id3cXOzs72NzcRLPZRDweRyqVQjKZxMjICKanpzExMYFQKIRisYjl5WWsr68jl8uhWq0CaMkqr9cLn8+HV155pes5jMVieO655/D0008jGo1iY2MDFy5cwJUrV7C9vS3jruF0OhEKhZBMJjE+Po6JiQkMDg4iGAx2PF84R/rfPp8PgUAAHo8HzWYTbrcbwWBQXnO73XKe1Wo15PN5bG5u4urVq4fu4yc/+Ulks1kAEDnA9UGZ0Emualmn+2zKDYL73OFwyDlrvs+U21q283MOhwM/9mM/duj+AcAnPvEJ6VMmk8Frr72Gz33uc7hx4wZisRhGR0fh9/tRqVSQz+eRz+dRKBSwu7sLh8Mha25gYAButxvxeBxTU1MYHx9HLBbDwMAAYrEYYrEYXC4XcrkclpaWZM0ODAxgcHAQg4ODCIfDqNVqyGQy2NzcxPb2NvL5PDKZDDY2NnDz5k3cuHEDIyMjh+7fhz/84ba102g0ZI3x//qM1DKAMsbpdMLtdsPtdqNer6NQKGBrawvZbBa1Wg3BYBDRaBThcFjWW7VaRbPZhNPplLXKn3q9jsXFRVy9ehXZbBYDAwNIpVIIBoMAgM997nN37FPXyisPYn2Y68PY/DlIWeBnOXj6WeZ7zEE3hasWuk6nUyaBB003MA+Kg8agk3DRfdHP66QE3+n9B32/OX69Qj/H4/FgYGAAAwMDaDabqFQqsiH9fj8AoFKpiBDhYdap/we1m/3WG0MLOABt83qvfdQKz+7u7m2bUB/WVEKq1aoo7WyPqTiYc6PXnl63XB/NZhPVahXValWUHJ/PB5fLJWvT4/G0Cen7jXA4jOPHj+Md73gHnnrqKUxOTiIcDretRVNZYr/5d5fLJYdgJ2XR/L8er3uBNqb0muHYUTE1DbpmswmPx4Pd3V0Z+3K5jLW1NSwuLiKfzyMUCmFychJAS/HQB72eNwp5/o2KMYDb5FC3c2iupYP+xv/rQ6aT8dPJwNLtM99HaNltfu6g9hwWHE+Px4NoNIpTp04hFAohFAphdnYWLpcL+XwepVIJHo8HyWQSzWZTDj4aIMViUca3UqkgnU5jYWEBKysraDabCAQCiEQiYtg4HA5EIhGMjo4iFothZ2cHS0tLyOVyKJVKyOVyyGQy2N3dhc/ng9vtRrFY7LmfnH+ukXK5jJ2dHZTLZVGQOyEYDCKVSmFoaKhNaTWNFWBf8dPvoULg9/vhdrvh9XoRCoXanqXJHip43cDj8YiB53a7bzOwarVa257hZwBgd3cXTqcTfr8fXq9X2qENNW1w8gzX57geY42D9IRe5jAcDst5wXbX63UEAgExgNxutxg9tVoNgUAAsVgMXq9XDAaSaY1GA8FgUMghr9cLp9MpY8V5qNfr2NnZQaPRQDgcvs1A4bjk83lsbGxgZWUF29vbKJfLXfVP61ZUJvVYmUaG/ozD4ZC5zWQy2NnZESOIhuDu7i4ikQhSqRRSqRQSiQSi0SgCgQCA1hrc2dlBNpuF0+lEPB5HJBIRuerz+RCPxzE4OCiy+27oWnnlYjM7bSqvGqbCoj+v38Pn6e8iuOj1gu6kzJnKbbcw+2O25SChAuwLavP9+kcrNqai1mkDakXiXpUB/T1kYbRw1QyT2+2WjVMul4U54EFujo85Np36xP50YoQ0624aNd0qs2T8yuUyKpUKgBZD4Pf7RWhqRq5er6NSqQhDDECEDC1Nc23rPnBMCH1ocKPXajWEQiE5WEulEprNJsLhMPx+/32dW7YPABKJBJ5++mm8+OKLmJyclO8ylVQKXHPf0No2Fdc7tfegNd0tyGzqdaHbq8dfswN6D9VqNWHllpaWsLi4KFY+ADEkwuEwAoFAmxAne6znn23S49ProakNQI79nQxXfbhybXZ6n3k48bM8MLnftKJgrm29RzoZLd30sdlswufzYXBwEM8++yxOnTolz93Z2UGhUIDT6UQymUQ0GoXD4cDu7i4qlQpyuRy2trZEkS0Wi8hkMlhbW8Pa2poc5LFYDKlUShihUCiEoaEhzM7OwuFw4PLly7hw4QKKxSJisRicTqewvIlEAj6fD6VSCfl8vqv+6b1EBpht0Iazfj+Ng0ajAb/fj4mJCczMzACArHXzHOTapoLKv/P/lG9akQUgMr5UKsnPYRQDDZ/P10YOmQon90mxWBQjJBgMotFoIJ/Pw+l0IpFItHkeKVO0V0obWlyj5lnRiQTiMw7SPw6DarXa5lGlJzAcDmNiYgJDQ0OoVqtYXV1FuVxGs9lENBpFJBKRNtTrdTlzXC4XMpkMyuWyyCjKj0ajgWq12jYn9HJS1tDTsLm5idXVVVnv2WxWlP9u0On86nSGa3Bca7UaisUi0uk0lpaWsLS0hLW1NaTTaaytrWFzcxPVahXhcFjY48nJSUxOTiKZTMp5R7ba6XRiZmYGJ06cgMvlEtk7Pj6OoaEh8QTeDV0rrxwI/tbCT284LjqtTGoGRQ+a+ZoeaJO15QLXLJ1Wcjq57ruBDhkwFQH+vxP7YS4MrSDWajWxPn0+XxuzYW5YPX7mv/Vz70WZ5Zjs7u4il8shGAy2uZp0PymQqNBqxVUr43dSXM25Nv+ux/SgfneDfD6PnZ2dNsXV6/W2ue29Xq+4NnhQUuhoN6lmRk0lXBsf/F2v11EqlcRSrVQqqNVqcDgcEpqhjR7N9t0P6OdEIhHMzs7izJkzOHHiBMLhsLSnE/QBQmu40WjIWGkl6G7r714OEoIKqrkmtCygIOd7OJd6/GlA8IAKBoNi3W9vb4sS4fV6RQHQrlAaVqac0wdmL+h0EHd6nmk0HOZ7DzLetYfgoANMK096r/e6RvmdTqcTsVgMwWAQTqcTW1tbyGQyKBaLMv4DAwNwuVxiSG5vbyOXy2F7exuFQgHLy8tYWFjAzs4OwuEwEokEdnd3ZZ/6fD6kUimcOXMGTz/9NCYnJ7G+vo5CoYBMJiNhCB6PB4VCQRRrrWx1A8oQfjadTsPv92NnZ0eURD12lC+UTQAwMTGBY8eOYWNjA5ubm21eBIfDIX1zuVxt8oj7gyw1P0N5Qza0WCyiWCwKCdGtR9Lr9SIQCMh36VAgrbiWy2X5bv67UqmI7GV/qHjxWewjlXL+UMnje8yz+aB908s6LRaLCAaDIqdHR0fx1FNPoVgsIhwOIxgMiqLOMzEUCokxu7u7K4Yw2dRbt27B7XajUChgZGQEqVQKXq8X5XJZGEyeq1RYGSqTzWZlrXMP8Dv8fj9CoVDXfSRMGUDyhkQWjRIaY7lcDul0GltbW1hfX8fW1pa0p1qtCoNcKpWwtraGQqGAfD6P5eVlGTcq6Q6HA4ODg/D7/RKu6PF4kEgkMDIygng8jnw+f6g12pPy2gmmgmLGTpjuv4M+34nBNa0sk8XV7zEPl26VV+2a4SSbjKBmSExWTreVyh+tz3g8LkJIK9emO70T7pdyA7S7EGgRlUolRCIRhMNhEYw88CuVijA9+vA0lXz97E6MgzYmtDDS49qp3932vVAoIJvNotlsIhQKIRAIwOv1AoBsCq7HYrGInZ0dMTDcbjf8fr8cpnq+OimvZMPIspBtXV1dxc7ODvx+PwYGBkQwlkolMQC4cQ/q+73A7/djcnISc3NzmJ6eRjQalbWs5073R8eQk8lpNpti0NxtHkyFVq+zXtYv54rKqX4O50SHhjQaDXEJ5/N5EfYORyt+e3h4GIlEQvYv1x/ZPCoA0WgUg4ODGBgYkP5QeWV4wWG8QHeDllMcLz2WnQ5nzbbeSYHVRvVBfzeNx07zZ/6/FzSbTWFRgX1jkvtLM15sAxnzQqGAcrmMQqGAlZUVXL58GdevX4fb7cbJkycxMzMjLl+v14tUKoUTJ05gfn5e2LJcLge3242JiQkEAgGkUinpTz6fF6YyGAwiEolgfX390H0ziYB0Oi2xtVQEzPPL7XaL8up0OiVsIJvNiiLOdevxeCSeWp8bfCYVyUqlIqwWx5JymAad9mJ0O398nn6+Xi9UqmgEcI+Fw2FRSunFIEtZLBZRKBTgcrkQjUYRCoU6nusmq3rQOuyV7AD2Q2WYCzI1NQW/34+trS0hNuih5PmYzWYlprPRaIjMpKxfXl7GxsYG3n77bczPz+PZZ5/FyMiIyKhisSjzS+Z/c3MTxWIRa2truHbtGhYXF8UDEg6H4Xa7JT+hW3BOtK7CeVhdXcXy8nJbf2mMUdGm8c8QHfbV5/OhVqvJXqXRcePGDRQKBZRKJRSLRTQaDVFcq9Uq8vk8ms0mvF4vIpEIQqEQvF6veBPuhq6V1zuxINoFwE1iKq9mHIvp7uskyPl/vXAPUm47va8bmDF0WvjoSWd/9ev6MKLVubOzg2KxCLfbjWq12maNm4dHpzbrw1ozJffCaGmlmS4BxtBEIhEEg8E29oqxW4x70sJEK6BUxGiB6nE5yH3GthxkaPTST44ZE2k8Hk9b3Cv7rIUAWRv+0P3WSUHX36NdRY1GQxgdoHWg8ZAOBoOo1+vY2NgA0Iqz9Pl8tyUo9gpzL/j9foyNjWFychKxWEwUAo4L2Ru9f7k2qWCb4QJ6n96NMdTz3utapfLZ6Tt13DUFMA/DYrEozB0VJR6iPEgpYBmbyFhvnQi6s7ODQCCAYDB4m5uTbeKYci10A8YAmkqjlqv6dXN/aCZczxGZRO5XsipcoyZzqw10rSCZ7+l1HrXHY3d3F4VCQfajDt+g/OCeyuVy4g1pNBrIZrMolUriJeL8Dw4OIhqNYmBgAJOTkzh27BjcbjcuX76MGzduIJfLodFoSJxdKBSS/zscDvGOAfuxmocFx0gnsJDJ0knDhLlOJiYmMDExgUQiIUYR5QiNW23gauOb54lOaOQ8mUpmJ8LnsCgUCqKIM26fc0k2l3uLCaCa8CBJUigU2tYBE59oMIZCIdlj3LeUVVR62R89nub49gLGCNNAZJiD0+nE+vq6JE15vV5MT08jm80in8/L+iThwbGh0cT+bWxsoFqtYn5+Hl6vVz7rdrsxMDAgSbK7u7tYXl7GtWvXcO3aNWQyGSGVqFeUSiWUy2WEw+FD98/cx/ypVCrY2trC1atX8Y1vfAO3bt0SBpZzy2TGUCiERCKB4eFhxOPxtvVJuUgWfnNzE2tra0J4lctl5PP5tnAKt9stCrnP55P2cQzvhp6YV5Nd5ODoDdKJfdWKLD9zkDV1N0bVbEcni+1OTOZBMBlFfWCZ76PyZ7o76K4plUqo1WqysN1u920uEN23gxSkTm3sVTkH9ueM40NFmy4MHgw67hXAbYoED3SylLSc9WFAYa3n3+xHpx/dt277SKaC7CYVFbrCq9UqNjc3kcvl4PF4EI/HEYvFEA6HhfXQSvmd2Cv2Xx+8PDjokmZ7aFGTqaWST+F8P+H1euVAp8LOw0cz6JxfrjMKHx4gPFAPStjiOBw0Pp0U3cOC68YM5QD2lVcejNvb25KA4/V624Qr58PsO2MFySTQVUY2PpfLIRQKSRIB49LYNzNmtVvllUYilWDTsD8MdBwilcRQKISZmRkMDg6iXC5jZWUFa2tr4srVTDbQHj6g5axpEN3LHAaDQQwPD8vByCTQcDgshxVjwjkPZNRpbDQaDQwNDeHkyZMAgK2tLSwuLiISiWBmZgazs7NIpVIoFAp444038PnPfx4LCwuSnDc2NibtoXzwer2iaPZigHCcyC7v7OyInO9UYUAbkMlkEtPT06JMsz1kt7h3qUjouHT+28wQN2EqAb2cF8x6r9friEQiSCQSMm6UFUwS0+e1NgLz+XxbkhEVX5IH+Xy+ba/6fD7J0NceEJO8MvvdK7HDCjc0CoD9ChROp1PInEQigRMnTqBYLOLKlStYWVmB2+2WpKxKpSKhMCQEisUizp8/L4zrqVOn2vIcQqEQRkZG4Ha7sbW1hZWVFayurkoIC5Vahr4UCgUUCgUMDg4eun88X0zPGz2vN2/exPnz57GwsIB6vS6saiKRwPT0tLj0OR9OZytmnNUQYrEYJicnEYlEUCqVsLW1hdnZWVSrVWSzWSwuLuLatWtIp9PY2NjA6uoqTp8+jUgkImue88jQrbv2qasZ3oN5GHWi+fWG0qyrFtBU9DQDp5/dSVia38N/m5aldl300r9OSvVhrTytsJF1o1VpPu9uyjvbc6d2dgs9L1oR1RYuFb9EIiHv4WFPi5gu9ng8jng8jkAggJ2dHYlt4ebolLhAUFgd5M7qpY/ceGRwGGDPGM5CoYBcLifCOBaLCePMTW4eEqYhpA0QCluChw+znLWRQKGdzWYlQchUhHqFyUyaMdZkx8lk0WDRSSJcF2TptCeC7hyuAx0ffdBeuBcji/GE3NPcPzpmrlQqIZPJSNkjWvOJRKKtZAsPSibPcc37fD5EIhHpC5mIRqMhzIk+KIPBoCixpqLXbR+Hh4dRKpXEO8P4Pu2F0N9x0BpkX9ivaDSK+fl5zMzMIJPJwOFwIJPJ3CZ3tRdIM1vsx0Hf2w34WXo2QqGQsNxaTlLecA1SHjWbTfGSMPRjYmKiLf6OiYiJRAL1eh3nzp3DZz/7WfzJn/wJVldXkUqlcPLkSczOzmJycrKN6eRa5h5hhZXDQjPklIu6RFAnr7fDIgAAIABJREFUua7DcorFIhYWFhCPx9FsNmXdMpGTCiDHTHs1TRZVz5cef/Pv3a5Tsru6P/w3SRldRYXri+w5GXMyypxjsnZcB1z7lNH8GRgYQCgUkqo4jKHVbbpXzxXd1Fp/4FjxDGeIx/j4uMiG7e3tNkKKBEWtVsPw8DBSqRSy2SzW1tZw8eJF+Hw+DA8PI5lMSkmoaDSKaDQKj8eDSqUiFYDGx8elj2RbuQa6nUOtK5k6CEME19bWxJhIJBKYnJzE1NQUjh8/LslroVAITmcrXv3GjRs4f/480uk0ZmZmMDw8LOuWLLzH40GpVMKxY8cwPj6OS5cuYWNjA7du3cLFixfFsKSsppx/IMxrp/gzc4DM1zqxryYzqhegKSy7ZVT1d3Yb82oqrlqhNhUwzczpTc0F5/F4EAqFhNUjI0uFiO3UrKseD/27Ew5ia+8G9oMsDBUdMoRsFwPXR0ZGRPHjIcLDJRgMIhwOY3x8HC6XC2tra23xOel0WmLdCD2fug+d5vVe2B5d15OKG/tN1xDjIM24Tq340urWbjkzy5fCG0CbO8Tr9Uqwun6djCbn/34orxqarQT2x1ZnvZLNYT946NAS5jiQLdIKH5+lLWbzcDPXcregQaBZSf38nZ0dpNNpUTDpXqOCSeODCi4ThLgeyCwkEglhAPgcl8uFUCiEbDbbxpinUik5aLTi0sscTk1NSf1GKuB8Bo0FHYql5QZhhhv5/X6MjIzg1KlTmJubw+bmJjY3N3HlypW2PWceZqYMozJ3ryCTqeWiVpS18cR+sh9+vx+lUkli8cLhMEZHRxGNRsWFy9CeWq0m5a/eeustXL16Fel0GuVyGUtLS+J9ASDKEL9fM/Ldnhd6XzGcAdhPNjQ9D/x/tVpFOp3G5cuX4fP5MDs7i4GBAQwPD0uMvja66M0yz95O5MpBzHkv/SOYSEclDtgvoUUZTsWKIQHaqHQ6nbI/TeOPChQVUh2qtr29je3tbUnEGx8fvy1+/07Ez2FBmcg50/LT4/FgcHBQYqoHBgZQLpdFBuzs7Ih3ixn1fr9fql0wdODWrVtIp9MoFouIRCJSnpLJcPV6XeoYM6kvl8thZWUFOzs7Mv6HVe7u1l+uIx3mAQAzMzM4e/YsZmdnMTg4KMa9JmHS6TTeeustvPHGGxIOcvz4cancob1kXq8XY2NjiEajSCaTuHDhAm7duoVXX30V+Xwe73rXu/Dss88iGo2KfnmYUmA913kFOrv29QbSyqO2lDrFvupNzsNSx8PqbMRObSKbdK/goJuxfnqTmMqtdjFrgUXlldY0g+o7jVsnq5nt0dBtuFdr02yD6SrXioqOZ+VcVKtVKVodi8XQbDZvS06rVquSYdlJ8GrjwDSIOjEXh0GpVBKlplQqIZvNIpPJAABSqRTGxsaQSqUwODiIeDwuShIFZ6VSkSBzVg7QsWUcK7M8DQPveRDyuVybjEWkq3pgYKDt/feCTp/XCgGVUM3COp1OaTsFMdvLfa6TuMgA6TADClNteJpt6XWtcpzNNcG2UCGt1WpSAJyllkqlElZWVrCxsSE/m5uborxSOeVFBYlEAslkEqlUStxjjJfe3NyUOGYqVXp87xQXfSdMTEwgn8+3xXsxvEUnNLG/ZCupiFGh4boMBAKSpDc3N4eTJ08iFovh+vXriEajWFlZEVaTa0Gzt3oP9sIkd4IOo6nX69je3sbW1haazaYY9XSNs3KENjSZdV0qlTAzMyMHnNfrxcjICAqFAur1Om7evInd3V1ks1m5NGV8fFzi6yqVCra3tyXDmwbJzs4OfD6fyOjDJIpomPJaEzWd1jzXSrVaFWbR6/UikUiIYujxeCRjnQkvTCjttM5MRdb8XvPM6HZe19fXZS1Wq1XxbNFo0OFIjP1lhjzZ7HA4LPuzEztNY40xs6wwkc1mJSadY82aotrz08lo7gZOZ3tdWcp3HTNP5pEVFqhM8ozT3imGG01PT0v869bWFgqFAjY2NlAsFpFMJgFA1iYTlpLJJAKBgMw7QxC5P3pRXimzKLu1V4PGIUN7zpw5g2eeeQYjIyNydvFcpOdwYWEB165dkxyO5eVlnD9/Hm63G1NTU3KxCMeJ46EruVy9ehVf+cpXUK/XJUwkEomg2WweKiHtviqv/LfJSGg2iwoCGUhdekNvfH6Wm4K3MtBq06wlsM8I9xJ71jYgym1OmEqpPqxM5VUfCnSr6+QJHaunlQCOkxZO5qGv49LuxZWnQUaHC43MCA2NYrEoLvZAICBxlGReGQ5Bq5uuIDKMrOFGd61mnNlHPdZ67ejXukGxWMTFixexvb0Nh8MhzJPP58O73/1uzM/Pi4tDJ0OYjAGFh1YC9brjXJIBikQiknhAQ4uMbLPZFKXJ7W7dwKItzfsxlxraoq5UKm234gAQ5dkMuNftoBKhlV8KMIZD1Go1KT1l7hONXhQhurW1QUXBls1mhdHnwUhFqFAoYGlpCefPn5c4Lh6mdM+TNQoEAlIT9Pjx41KHlAxCIpGQueehypJOOg64F1ZraGhIKjowhGN3d1faRUHPmEfKNca/UXGj4pdMJnH69Gk8//zzOH78OMbHxxEMBjE7O4vR0VEsLy8jl8vJ+jW9DXqNa8Oy1/kD9utnUglfXl7G17/+dTQaDTz99NM4efIk3G63yA8qC2S0WCLL7XYjFApJ4qvX68XU1BS2traQTqfx5ptvYmVlBQAkVvn48eMSKsJSSDxDCoUCrl69irW1NcRiMczMzCCVSrWF/xwG+mzjJQf0Xh0EPZYTExN417vehTNnzkgtYsZBU+k2qwSY8pLPND1HpqLbq4xZWVkR+dFsNqWskcPhkBq80WhUYrgpO12uVua+9oYwWZbJWox9DgQC8j7KVIaiMdlrZ2cHi4uLqFQqmNmL6SbjeSfv3WFA40rLMIa6eDweaTPPcKCV3MwQFH6+UqkgmUxKNj77Qqa1VCrh+vXruHLlioQTkrnleUpvnWbeOf+Mqd3Z2RHl9zDQ3hR6XOv1OlZXV3Hp0iWsra1heHgYp0+flvOR+SGavKpUKlhZWcHNmzexvb0tz89kMrhw4QI8Ho/0lQQmFWCeFceOHRP5cvnyZXz1q18Vj9Ho6Ch8Pt+DuaTgoM2i0cnlRGXNZLS0W6nT87kBeaWjjqfQSRhcUFr4HpRgcifwmfpzuq8HKbDa/UHKm4d6LpfDzs5OW//uFpNrCih+x726C9hHPtecPzO5hYKYxZbpUmVcp3bzAPsZ/owfZTwPb9YwYbLaus/3wrzevHkTV69eFYZje3sb09PTiMViGBoaEsVRu5aZLby1tSXKNttozjWVGa5fVhmgRU3hRQWW7aKLhSW8yJ7dD5ZLg8+jQkSBpUuBsf/FYlHew4OSySNmSSPGMDE5he8nA2/uuYPYoMOAbBPBf7NOImsw0u3fbDaxubmJ69ev480338RXv/pVnDt3DisrK23MTScMDg5KkkQ+n8fc3JyUVkomk20xsFz/ZJFMGXRYkPWnYcMxCofDsn7YX7a/0WhIpi5dncViUZjMkydPYm5uTowzl8uF2dlZnDp1CisrK201QXUYzd3Qa4gSD79ms4lMJoMbN27g8uXLonzyu3mrH8eSscdkRsmEM9bV4XBIEsny8jJu3bqF1dVVqbHaaLRuLEqlUuIRajabbUmlukB8LpcTud4NOGeUIQzBMj1ZnTwTjPebn5/H8ePHpbxQqVQSj0g4HEa9XhfZobP+9fdrIkd/lzl3vezD4eFhKYVERYoymwYtE5QYm0niguu4VqthfX1dvCG8CpgeDXqlwuGw3LTEq0L5s76+jnQ6jXQ6LbGVLEvVSeZ0A02Y8WynwVQoFKRkVKlUkuoW4+Pj8Pv9cm6srq6iXq9jaGgIkUgE9XpdEqD4Om/5O3fuHEZGRjAzMwMAbTVTdZhaIBDA8PAw3G438vk8bt26hY2NDeRyORw/fvzQ/Xv77bdFXjSbrfyPcrmMS5cu4fr166jVajh27BieffZZDA0Nydwy1IbnRSaTweLiIhYXF9tuvSuXy1heXkYkEsH09DSSyWRbwizPSyroNFqr1SouXbqE8+fP46mnnsLMzAyGhoYOlcDctfJ6N7egyRqy0RQUupwNaXC6oU1XPb+PVPXOzo4UTKaFTgXRZLDuZv0eBC28OvXT3CScGP7QQgyFQpLBfP36dZRKJcTjcUmAAg5ONDMFqB4T/lszuN2CSiG/zwzL4DMDgYDctU23PxUyLkpdFJ5uFDInAOTOZmb2a5e0ydJ16kuvrGS9XseNGzdw7do1uN1unDp1CmfPnsX8/Dzi8Xib8K9Wq9je3pYKBKxVdxCD2Km9ZMO0J4HlsBh+wVgpKmXMqOZh8CDhcrmEzaPClM/npeQLXXM0KGmEMFGCjDvnn8kJjJUiU0GFyPTG9ALtYSH7S3cqFTbGlHs8Hokh/NKXvoSvfOUruHTpkjBDd0M2m8W1a9ekygDjz0ZHRxEIBDA0NIRGo4H19XVks1m5o5xJjt0ydgDETa0VH6ezVchfh91o44KyVO9hKoipVApTU1NtMeperxfj4+M4c+bM/8/em8Q2lm9pfh81j6QoShQlaoqQFHNGvsx8+bKqFlUFNFCLLsCG7TbQgAfYC28C3njpRhsuL7wwYMM22o6NG92G4TZsw4YbNgwUbMCo7kZXdb18mZGZkTFKClETxUEcNFEKDaQXer+jwxtUpMjIqleV0AECEUFR5L33P53zne98R1tbW9rd3TUdU/ZIn6lqtKd8CIWAub23t6fV1VVtbGzo5OTE1CB8EAji3NbWZnI7IFljY2Nqa2vT4uKinj17pt7eXn3++efW9IDULME03MGhoSGNjIzYvEFjsq3tvKMX50goFNLOzk5L9xh8Vv7AJpPneeE47GSlcKY9KNLT02MOXHt7u3K5nFZWVrS9vW3fE7Sr0uaaXY/z8/MWrB4eHtbVR0iybmI0ZiCwIytHMdCzZ8/03XffaX193fZBQCz/7OLxuG7fvq179+7p5s2bNp+prj86OlI+n1d7e7s5it4xa2W/OTo6qsuk8Zx8sTU+SywWs9R+b2+vMpmM1tbWlEqlFAqFND8/r2g0qp2dHb1+/VonJyeKx+MaHx9XKBTSysqKVlZWVCwWtbCwYNkiaG5k+7q7uxWLxdTV1aWhoSFTDfFteK9qf/7nf277FPUAuVxOL1680Nu3bzUzM6M7d+5ocnLSlHGkC0RaklG1NjY2tLm5acoa0oWfls/ntbS0pIGBAU1PTxu3nPOU9/X29mr21wWlABEvX77UzMyMIfY/ZC0hr5elBhu9F6kIBsc7rl5b06Odwc8m8oTE7Z1FOCZMPC871MokvgwJvMz8tfjiAzawYrGoZ8+eKZvNWpQ9OjpaJ0MVRN7eh2oHr7GVe0Sbzh9aQacsFAoZ4haJRN6R08LBDoVCFlzA2To8PFQul7N+xdFo1BAQDid+97L7+5A0Oi39enp6lM1m1d3drd///d/XZ599phs3btiBwULyUi7InvhAijnv6RWSrGANgjo/Ryw8FAppaGjI5iMKBGxQPP9WUS1vQZTaIz+evoKgdLFYtDZ/ICr+3ryywODgoGKxmHWJARWSZIcPaJGXk+K6WjUfSEmy7/FSXiD8lUpFq6urevLkib766istLS2Zs4KED8oXBL0IquPwILINB4t7mZqaMke+vb29rqCEtdAK5x5JunA4bJ2IQqGQBQu++hi6BtcPMkQGpKenR/fv39eNGzdM15dWnfF4XB9//LEKhYJyuZyla5knnncuvb9gtlnDGTs4OFA6ndb29rba2tqM7817SM9CU9nZ2dHm5qb29vY0NTWlSCSiTCaj58+f6/vvv1c4HNbY2Jj6+vo0MjKiQqFg9BD2mZ6eHp2cnFifdfSsWY+gd8ytZvvFe2M8yA6yL16WugfV6+7uNmpDtVo1yamRkRGNj49rdHTUxobg2qdUG+0bHoUNWit769bWlq0XtEUJSnBOaPLR3t5u/FDOv9evX+vbb7/VL3/5S33//fdXChKePXumlZUVffbZZ/rkk09MUkyStre3LQOCcyk1brRxVTs+Pq4rNGLO080KOgPcT9bp2dmZCoWCUVzQEe7u7raz//j4WA8fPlQymdTIyIhSqZS2t7eNa9rZ2WlNVVjPkmyvAyBoa2szilM0Gm3q/lZXVxUOhxWPx9XW1qZ0Oq2nT58qk8koFovp3r17mpmZsWygL0SUZOdkJpNRJpOxGpKgStDOzo6WlpZsD/NatATGzBPvwC4vL2t5eVlff/21otGoyeG9z5p2Xj0aEnRi/cLgsPftGTkcarWaIahsJL4jiXSRvibFiUQDEQeOH5s+m4QncX+oBdHk4DPwzh8OLOTk7u5uI0O/evVKqVRKmUzGBg0R5Eql8o72q3dO38fh+RBEy6NkkNX98/f3yAEHogqCSmETMihEv1tbW1paWlJ3d7fu37+v4eFhjYyMWIeVYDrLI9D+Glsdx6GhIc3NzWlubk5PnjxRT0+PksmkJiYmbFOVZBXKHAhsumxUHn09OzvT3t6eFQhJshZ3OBqgr76HM5X8jK1vQwky9heh8wqijqMGf5JitnQ6XddRxWcAuF+ccRxbHG66TxGsgLgcHR2Zwyt9mOMqXRR98uzYS96+fWuBAFmBdDqtly9f6tWrVyqXyxoZGTEUgYOFvSORSOju3bum+7m1taVUKqV8Pq+TkxMVi0U9ffrUCi8YY2S1CMZLpZIh1JLq9oOrGPfFPKKQxRd/EGTyB0oOzjVVzYlEQp9//rlu3Lhhz4RisEgkorm5ORWLRduHcrncO8GTL1YJolitZge4Rwp5yuWyOWsc2PD8mHfM0Vwup6OjI/X29qparWptbU3Ly8tW8LW+vm5yRPBfcWrgs5OmHBsbs4Ix/tDRynOXSds2awT7KI941JWf+/XgnV3WP9fd19enRCJhtBSuhwAKrnMQxAj+3eh7ea0Z++M//mPNzc3pxo0bxgGnjSmFuxQU4eS2t7drZ2dHKysr+vrrr/Xll1/q5cuXV0a3s9msvvrqK8uAdHd3m3PV29trvgTBM2fTh5wbjc4fnzVD5YI9fmhoSG1tbcZLJsjv6enR0dGRcrmc1tbWdHx8rLGxMe3v7xsF5vDwUMvLyxocHFQ0GrW1h+rJ8fGx1tbWlE6nLcuExNrCwoJ6enrMgbyKDQ4OKpFIKJlMKhQK2WcfHR3p4cOHunPnjoaGhuqK1jxt7uDgQJubm1pdXVWhUGj43AiY0+m0otGoksmkZTek+p4A7C+0MC+VSkqlUnr58qU+/vjjK1EiWpLK8o5G0HnlIuHaHR0d2WZPpSfROAUQ5XLZKkGJKiFxI4pMH9yBgQE7REEtfVFAq9V4jeyytLH0bnebIGUBCkEul9PGxoaWlpZULBZtEXR3d1vkD6LJ7/pNyR8q3j7EMZibmzNtQ2SjKNIK8pkODw8lqW6Dxen1XXA4UI+OjrS+vq7nz5+rp6fH0s2oLSBaLV0EKP55BhGfVjYiEN+5uTl9/vnn6unp0dzcnCKRiM0L5t/Ozo7xcUGI0Vfk0ODZkNrzaT3SR0TriK5vb2+bALTnmIK0SBeSXT+GgVgxVzi0QQI6Ozst3ba5uWmdgJiDvoiSZ+idXo+ow4nFeeTZUBwWHNdWLRggw/c8PT1VOBy21Ho6ndaLFy/08uVLHR4ean5+Xjdu3NDk5KSq1aoWFxf11VdfmSP08ccf64svvjAR7cXFRQuAC4WCDg8PtbGxoYGBAU1MTCiRSBitBi4bcx/ZHjhrzRhpe9A/DgnmPOvMzxkyVaTeGN+5uTndu3dPsVjMnLRsNqu2tjbNzMwoHo/r1q1bevjwoXXRoYWyrxf40DELGns1yCYi5ScnJxobG9PExISi0ah1G4MuUCqVjErQ1tZmhxuUh6OjI62urioej5tSxPDwsMmN4QR6eg5pz+XlZa2trWlnZ0eh0LkuLuMMh7FZA3xgrUMNusyZAsnCCSQVD7rJGLOmTk9PLYuAhF+jc847sI1AJan58c1kMkokEnVyXQAdBJOg/BQnv337VhsbG3r9+rWy2awGBgb0ySef2Jz2agtweUEdmQvHx8fKZDL6/vvvNTAwUOcc0p0QChHBQKvOK8/Rn7V8DrKK0jnqyx4JGLCxsaFyuaxYLKbJyUlJ52g1xXfSeTV+KpUy6UkyBQcHB5qdnbVgBf/l9PTUxP0LhYJlaLy035dffnnl+7t7964VCYOSn56eWpYykUioq6vLuMsUYfMMdnd3tbq6qrW1NaMUBJ8XdnBwoFwup9XVVSvug6rGZ3t6DxmGV69eGScav+N91pLz6mH1Rk6sJCtcOjg4qJO64D2VSkU7Ozva2tqyHsA7OzsGkfvDl04ks7OzisVidVwt/4dItxEHtlnz6TSsUWTnU8peCoyqy2KxaN1/Tk9P9ebNG6uiXFhYsKo8EOngd7fqwL3Pfv7zn9cVEVEly/cwvqTVvVPO+EPO53dBOjKZjNbX15XNZtXT06PNzU2Nj48bX8lX5FJQ0gh9DUbBzRiBQDwe189//nMNDQ3p7t27tjlI54sOBOjg4KCufSjIArJmOIYgRfCvxsbGzPHzfapZnBQleCQtWNwDj7FV8yi6/xzQfVBS79CUy2VTPOjr69PJyYnJTlGNDvqD7iScQrqn4NxyWHkHhfXHOH6IM+TVQwhWpYtGENVqVdlsVk+fPlUqlbIx//TTTzU1NWUFcqurqzo+PtbNmzf1xRdf6P79+xodHbUKd5wEskTwt9bW1jQzM2MO0sDAgKXyQCn4u1Xnlefk09bMF89J557pyMR1R6NRzf66+rpWq1mXnvX1dTtckAW7f/++1tbWVCwWzQny43RZsN5K8askQ418kV8mk1G1WlUmk7Hgl+CuVCppdXVVpVLJFB9qtVod30+6qHpeXl7W+Pi4cQp9USTBF07r4eGhUqmUvvnmGy0vL1uV/MzMjOmHtsJdxkg5M/8bOVO8B61MDmpoOjh3PC/4zFAt6NLEvPB75/toWFgr58mnn36qubk5jY6OGke7v79fR0dHBkrVajUNDg6qt7dXoVDIivPS6bT6+/v18OFDTU9Pm1N+eHho6yuVSml3d1eDg4M2FrVazeSYcrmclpaWlEgkLKvZ29trnfDQVQ1SlpqxICglXaS5Ozs7Tc0kHA5rf3/fCtHK5bIWFxeVz+d1+/ZtDQ8Pm2MKP1mSSqWSBcmTk5Nqb283wf5arWYOKUWctEHu7+83Heu+vj7LAjXbTOPWrVsWbHAGQEGACub3WoKxWq1mxZPr6+vK5XIGULxvby8Wi1pcXDRwJJFI2PPlGTOPaDCCsgSShj9kTTuvXsQepCd4Azg9yCyBqBLdHB8fW9Xd2tqastmstre3TRAcPiw3NjAwoHQ6rf39fd2+fVuxWMzoATghRCykaFvlvbLZBKv7G6VecFShL0iyQ4ZIJZVKqVKpGEWCohLSBfDpPGfWR9SNouYPTY9Q6SfJWmvu7++/U6xGNEsBkt8gvSMR7BaTSqVULpfV09OjtbU1TUxMWEtBHEI63LxvnIIpsKsa1wl9AL4mnEVfREi7SjYs0A4Kc6C4SDJuaCQSsc3s6OjIdEB7e3ttI4hEIoZIIN1Dehn0moMpWFXfigXnQ09PjxW6DAwM1KkoIEMzPDxsuoV0e8GZHhgYUCKR0OTkpEmmDAwMKJvNand3V4VCQZFIxJASniUFHR/iBGDeuWN9cJDjTOHELC0tKZfLaXJy0tJVR0dHWllZ0evXr7W9va1IJKKFhQVNTU1JkgqFgklmjY2NaWRkpO66aa26sbGhGzduGCrvOzJ5xLVZ2gCOCvfKfuM5oKAfIL9oTVarVQuqRkdHlUgkNDAwoOPjYwtEQC8Zy4mJCc3Nzenjjz9WOp02zVWf7Qoe3lLrMlmSjB9Yq9WM5zk0NGT3AA81Foupvb1dBwcHph8JZ257e1upVErFYtE+l+B5Y2NDb968MVWISqWi9fV1dXZ2KplM6vbt20bJ4Nmity3JqCC0IG2V98pZ4INdTwHD/JkCeu/1Tvk5bTXL5bLa29sVi8WsCxeV70GHNRjwN6IStDKWX3zxhcnqkS3yXa7gi1Ksu7+/r9XVVa2srGhnZ0ezs7O6f/++JiYmrLiLgh4oFkdHR9aKNJlMqq2tTcPDwxocHNTq6qo2Nzf1/PlzDQ0NKZlMmvPsKQuN0NOrmj9n/HMCTQfUYL5Al8pmsyoUCpaJamtrM15oT0+PpqenJZ2fHVtbW4bOolOby+WUyWRUqVRMCxXwY3R0VMfHx8ZhZ57CgW/GKCDb3d217wuHw0okElYcFbx/Pw9zuVyd3vVl5zW2u7urpaUlo+yQJfOgp/cxKAze29uz5/dD1hLnNTjQ/O0PGuQz4Kb4lClk/M3NTePA4Px4OgBczGDTgoWFBdMDA+ElEvUyJa04PjiOHnX1f/t/+8MLrhqTK51O6/Xr10qlUurs7NTExISl4UEMxsbGFIlEFI1G1d/fb9xRAgIOk2DhyocaEarfKBET9psbfD4q0LkWDg6cHpybzc1N005kXDY3N7W+vq65uTlFo9E6Dh/3FCwYCT7rZq2jo8PoGWysoBqeDkHhFN/nUXOieklGYCdd4ps37O3t2aJGh9JzXREZ96icR9J8pNuK4fzCI+KzmFdskmQ6kGwZGRmxwIEWv0jYHR0dmWB0R0eHHejRaNS6yEC3YFMCTSKt/yH3hIE8+sAuFAqZYwe6nc1mLdhgXLe2trS6uqo/+ZM/0T/7Z/9Mu7u7+vTTT60yfWVlxVpP0j2IAAMKAWg1BQo4jBSYeh3GVugfpAcZR++0+n7fOF2+OIux7urqUjwet4AehwdeZK1WM/oSyM6dO3fMIaDWgOsJZtOwVvcfCuugOMzMzFiXIopHeJ90jlCtr6+rXC6bfmY6ndabN28a8iV3dna0urqqsbExzc/Pa2KIhYObAAAgAElEQVRiwt5H0ROa0+FwWHt7e0qn0+aEzc7Oan5+XqOjo4bQtmI4cX6fvMoe5ikN8GRx6Pb29rS+vm7zfmxsTIlEwmgVXjfbI4feWgUAvKEn6mUB+VxoBJwVodC5rvbS0pJlOygQzWazWltbMwoBBVJ9fX0aHR21OZxOp6147eHDh+ro6NCTJ0/07Nkzc26RYSLYxpH/Mc5Jxg4QzJ+RqLUUi0UtLy9rdXVVHR0dhtwjJVWpVDQzM2OFRy9fvrSzsVAoWLYA7nU2mzVQh72U72N/YV86OTl5h3f6Q8Z4ASqihkNA7v0OD44BzuRyuabpNNDM6Co2MDDwzppgb8d3Ojg4UD6fN83m91nLBVuNzKfQcQDQl+SwKZfLymQyKhQKOjs709DQkEU1pVLJdMzOzs4UiUQ0Ojpq1YT7+/taXl62hYKMCOkoFgJcp1bQrGCTguBg4vT5n0myh9/d3a29vT1tbm5aRxsEf/P5vEH229vb2traUjKZrOMV+sNauojUPzT96o0DkwOXe/YbIIcpf6hyBh2h8ALELpvN6vXr18pkMmpra1MkErEiJ6race5oBsAm7Z3XH+MevSMiyagP3B+cxSCVhXumGAhkjEXMQcMcwIn33DUoCGyuBHKgu94R4fn7TEErxndIsgrOBw8eKJFIWFEgjRe6urpMxgZpIRxcNuZQKGROHJtJR0eHOQLoYkIHol0wz5YD/EOdVz6LojGf3aDyt1gsWtZmf39fOzs7yufzamtr0/r6ulKplDY3NyXJUv3c0/b2tlXt4mT54JXgBGcQyghBnm/a4KkSVzW/z4RCoToVAdAenGiuD6eWeRQOhzU6Omp6oNQQkMoNhUKWqqc4YmZmRp988om2trZULBYNNMAhD+6bH7ImycrQxCOZTJojiRIJxa2kW4vFou2DUMvgWnOOsG7fvn2rdDqt9fV1jY+Pa3BwUKOjoyqVSkqn04aIQVGSzttfRqNRDQ4OampqylKaHllqxTznPPjsLjs3Scuenp4aZ7Srq0vlcllbW1smtdTe3q5kMqmxsTHNzs5agIb+tgcego5sMFPX7LrESWRuwkn1aiasi7OzM+t7v7a2ZgEZzSSKxaLm5uY0Pj6uvr4+bW9vW8csaGaLi4s6OTnRz372Mz148EATExP68ssvjV7oixq9vF8QWGvW/BnvwR3+zz3XajWl02l99dVXWllZUTgc1tTUlKrVqtbX15VOp3V2dqZEIqGPPvrIUGocV34nkUhY+1fQUK/w0t7ebnQ7P77Hx8dXkpLyhjwce8TR0ZHp1QLEBBF6XxdSLBaNh8rZxr7sDeqIB/TwCTn//LMGMOrs7NTg4KApN3jKxWXWks6rh36l+s0NpBTOjo8kc7mc1tfXtbW1ZVXLXszdo1dHR0cWTY+Ojuro6EjZbNYWLfwz314Q1IUUUCsTmUM4mILwAxpEnjlEhoaGtL+/rzdv3mhxcVFHR0eWrgMlwmkqFApG6gb5YrH44iD4kZ6mgX3IIm1Eg2jEd+OQ9AcpB7p03ohhb29PqVRKa2trCoVCmpiYUEdHhxXioVHo+znv7OyoWq3W8V4bbf6tmE/f+kWJwU/0ETvW0dFhPE7SqaBXcLkafSbv80oKOLi1Ws20LJk/UCZ8l7UPtY6O89Z8v/3bv63f/u3f1vj4uAV2OGCDg4OWMeD+g4Ge5+7u7+8rm82aw+HVBOBM4tDirPMcLqO+XNVIC0K/gA/v1QdAgJG44nkODg5qYWHBBOu3trZMIk26qIJnvIKSfcxJAh3Q82Cw5ZE2TwO4ivn15WWWWG9ckz9AfSqffYOWuNA5KMjwmYbt7W319fUpGo0qHo+b7isoJ05bMDj319qKeToXNQxwCOGNh8Nh5fN5PXnyRC9evFC1WjWNbFQx9vb2TMLMW7VaNad3fHzczovd3V199dVX+uf//J8rGo1aehQE+O7du0omk1akhVIG8npXNYo5PUXAZyCD+5lfF5IsKAuFzusGCJg2Nze1srKijY0NSedV6MgdjY2N1WWHmH/Su5zW4P9bGUcCbe4PACLI45dkBbkElah3cHbEYjGjjOTzeeVyuTrd6/X1dX333XeSpPHxcd2+fbsOKIC65Rts4PxL78rrXdV4TsEgwNMRWHt7e3taWlrSd999p3w+r1u3bikcDiuXy2l5eVmlUslUZVin4XBYvb29ymazWllZUTKZ1NzcnBKJhPL5vFF9KpWKBa+sXz++nJOARlc17oP6hr29PU1OTioSiVgw4udKo+w1qgsUhWYymTrnlVqQmZkZdXScN1UIh8O25nnOGPcinc8x7x+Q9XyfteS8chFBpIzN3KdCQEnhWqRSKZOZiMfjph5A5dnw8LAhOqQ3h4aGLKVSKpUsIsfZRVoCviIHWCvOkEc//X1hl0WwDDQ6Z8vLyzo8PNT4+LiSyaQODg4sgn379q2y2azpoSE7BPcVpwIUKKjw4K+llYXqU3UsDE8lCFYds3HhLJTLZUOhjo+PVSgULFKamppSX1+fyuWyVfGjwTk6Oqpbt24ZOn1wcGBOEhP5x3DkmIOSLGXpkU3mKfMkOJeD0TeVwMwvPoMF7tNL/ncx5pN3bNkI/Tr5EGtrO1dLuHnzpj7++GMtLCyYPi+pfN/+Fq5nT0+PNU8IcpGki8MBgj2bKsgnaWdPb/mxghA/PhREciCEQiHTW4XCwvj19/fr5s2b9jzGx8f17Nkzk9wD2WDPwXFknvjx4759Sli6kJPy99qKY+CdV8+z9w4szoI/SCWZmgdUCLoPnZ6eKhKJGDePam7oWn19fRoeHtb9+/eVSqVUKBS0trZmzQ+889XqfWFeCSYcDhsFBWeW4tVSqaSnT59qdXXV+NiVSkUbGxvWGUxSQ05qtVpVsVjUmzdv7FwZGhoyJ6Onp0eTk5OKx+OWBevt7VU0GtXAwIDNqcHBQQvMrmpwLz2owz7gs1mY1zOXZGcddJRisaiNjQ0tLy9bERPrFDQZh3t4eNh00/3eEjwXgpnDZs1zzINnXrAAlT2SYu1KpWJnNhz8RCJhzk8ulzMtUCrs0T6FwkQQy79pd+2l/Dxg0cre4wMQwCI+y5+RBwcH2tra0srKinV6o24AKiT1IxsbG/r2228ViUSsy9/bt2+VyWS0tbVl3Ff231QqpaWlJU1PT9uaxw9gXkJru4pz541OddR6ILvlW6R7WiD/7+rqsoJ5/BT4sx7EIqiJRCK6ceOGYrGYAT40WuAz/dwkmPOgUa1Wu1Lxa0tNCho5cH6wcV6li8XqBW4hQQON02WBG0OWYmBgQHt7e1bwMjg4aNxQIjwWPlWQvrhIuuiPflXj9xrxP7Bgihskb2dnR5lMRpubm0Y4hhfa39+vZDJpxOeDgwOtrq5aMUU8HjdHDufKHx7+O/3/W9mMgoeT5yv5yJXPZkNEAoOgAY7dxsaGdR2a/XW7O4qDmIQgKCwCXg86Ox+aauYzOejRBQymdINOK5su8213d9cUBCCch8NhlUqld5AN/vg5EzTPKfJBAk5jsynnoPX19Wl8fFxTU1MaHh62qN07RwQgu7u7JtzudQU9GumdNN8EhP/DR+Xw8POGZ/GhY8nBGAqFTFoo+B2+2QOvh0Iho36cnZ3pwYMHRmOBFgF1A8cYygQok0ejPZrMM2FNeD5us4GXT016ZQEfFPGHa+F5EFRx+FB8dXx8bCnJ0dFRSbL9FQ5aX1+fpqamlEwm9cknnyiXy5mjGBy3Dx1DmlcgX8ezgrvLwbm7u6t8Pm98697eXlMYeF8RFc+KDl4UNpG1A7FHXxPePc4VThDnRLPOayQSUbVaNRlI1nJHR4fRO6QLoCC4zn06tVY7L8aCGzk8PKy7d+8aInt2dmZSRQMDA4pEIobc7e3t2ff4Z/NjAB7B9eyDyVAoVHefvmYleM7Acx4YGDAZqO3t7bqMDWPh1+HZ2ZllVT19K8gv5rsIdJox0uo+kPTXTvEoWcZMJmOdrwgskCCUZM5osVg06bBSqSTp3CeBCoOUVLFY1KtXrwyoGxoaMvUl0Euce1QqmrFisahIJGIUOvZxX/gu1WcM4aKOj49bdoL9k1oeb8yFcDhs2Wb2Vu8v+r1UercbY3BPv8xalsryX+QvhGgoCOMfHBxYSiscDlv0650HUm/9/f12k1tbWyqVShoZGdG9e/fsEKKKG6eCtLaH/VnwzZgvoPCHVXATh4tHdEIaZGVlRaurq8rlcurq6rIJmEwm9fnnn2t4eFhLS0va2toy2aHFxUXTzETWiGdIMQ7X5P9u1RqhAb4S3jvI3rEkbSOdp7FOTk5MY7NQKOjmzZu2yFisbERnZ2dKp9MqFArGc8bh536Z5Jch3Vc172T57ij+Mz1KSsDFAU9gRDtiZL1AwphTQaSW14LOf6Nn7p2v4GJuxXw7SQj4tVqtjj/JBuwdMzibXmfx8PDQImnW1fHxsfb29sx5wtHzz7ERgt3oWTRzT/wuRZ9svnyuX/NnZ+dC+PQOpw3lycmJcS0RGMdhBFH1PGR+5pFQP2caZZ2k5tclz9Ijdn5soCz4FC3jCJeTFCzOUzQatUIMECHAgp2dHRtH5H7u379v7S0zmYzVKOBkYq1meTgfACt4DYoETmQmkzGlir6+PlMNKJfLVqDDukSij45p7JMAB9PT00omk7pz545qtXN+4tDQkKlncOiiAsO4+/TsVQ3uOGsZhI49CPPj5+sZ4vG46WuenJwok8loe3tbXV1dunfvnh48eKD29naTlELzk6C8v79fOzs7Nmb++oNOQav7jHc4+NtrvjYyvg8nvqOjw5ppdHV1GZixu7urkZGRd9LPjAs+Bt/l74957TNrrTqvnEGsfV+PwBnGGf/q1Stls1mjo5yenmpjY8MKlSVZUI8zG6QzQDHo6uqyBhpra2vq6Djv8Dg1NaVsNqtKpaJkMmlc/UwmY8+uGQMc9JmyRqBREJgBTSUr3NbWZuhxoz2dMYL+xDPlZ8HPx7y0KuPxQ9aSVJY/qD1KgyNACt9HmqQYfS/0Wu1cVgSRaqKscrls6QEKvHCAe3t7rTUjKCwkd5zfVpUGpHc5vZcNKhzbzs5ODQwM6OTkRLlcTq9fv9bKyorK5bKi0ai9LxKJ6MGDB/r444/14sULLS8vK5/PG53i1atXlu5CMkKScfm8RNmPgU56CxaO8DfPkEj3+PjYnKGOjg7r2PPixQvt7+9bYOGbEzCWZ2dnJjuERBNVqCAjVBc3QrubMQ4nNB6JLjHQGpwAAq7d3d26jZoNk+v3KSX/nIJ0gUZIvX8fm4ZPgzdLGwgGNG1tbZadgEPuUV5/eLLeKLqD60fwxO95rjOILYckB4zXeZUuOjH9GHOU7+Ja/P7CRgovlMr9bDarL7/8Uuvr6+aQ3rx5Ux999JGGhobqGk8gOcM+hNPB8yVQ5738DHQIx5C0aStBFk43n83+6oPjarVq10aAAfcMblmlUlF3d7eJ9nNwkOGg4h5qAHy0ZDKpu3fv6ttvv9WbN2/s8A1mffh3s8a8DoVClhKEfoJDvbS0pDdv3ujs7Mwk9TY2NrSysqJaraYvvvhCP/vZz3R2dmbyg2hJ44hLsrqIjY0NRSIRQya9LipOH/spRSWcPc2aR2pZZ0EQxSP97EVobN6+fdsyjKh4tLe3a3x8XB999JHu37+v/f19ZTKZutbFcNcbBcWNMoP+Z82Oo/8s7wQH9zHpwkn3WQnkpdAUbW9vr+ugJsnAGt/xrFq9KHb1QARrkXEjCwhY1YqDzu+SgWoURKKes7S0pJ2dHc3NzWloaMiCv6BShfdBgtfEvB8eHtbDhw8Vi8VMXmx5eVlnZ2dWpIjjWCwWzWdoVtKNtshkq3EUobyQ+QkGrI38KH/eBZ9h0H/i3v1neGoCz/n09Lzb5f7+/jtg02XWtPMaJPP7w5rX4BwC/3ouHL9TqVSUy+WsKhzeC5uRn/x06YKg7qNvr1HoUxiNnIirWDD12whx5X2eK1oul/Xq1Su9ePHCpD442Flo8XjceC43b95UuVxWKpXSq1evTHqDNm6RSMRSXr7KOVhc04r5hRR0Vr3zxoGJHJTvFoVeLSLStEatVqsaGRnRRx99ZOmFTCZjLTpTqZRGRkY0Oztr8wDH97KorNkghHGhgYCffxws3unx98/3+Q3apzEaXQtIRCh0IR3jU7/SRYMHPgMnDGrCh9IGcORIx/r0P44ZgQc8w52dHZVKJQ0MDJhDRJACt6q9vV3Dw8PGdfJFZqSt4YKxFr2j/iHmnyXPj+vC6UA4vL+/X/l83lLPT58+tb72Jycnmp6eVjQarZvj6GyC+BOUYcHCKV+Uwr36w7qVeYoD4nmukszJ9ig3z4GGAwMDA9ZKlc5cnpsYDKzIdlBQMzg4qImJCc3Pz+sXv/iFtre39fz5c9OtZL/5kIDZF2RS3ORBjUwmo2+//VapVMpqHmiNmc/nNTo6qo8//lh/42/8DeuklM/nrWsf1CVStqieDA4O6ubNm6YVWy6Xlc1mzYnq6+szgX3usVarWQaqVQsGvt5CoXNeLYL0KAegF436RywWM/R4cHDQxpwMll8PQWm34LkcHLtWA0s/v5kbjCHpYa4NnWuesS/Q6+np0d7enra2tlQoFOw8IbDynFa+jxbXcDQpYvTXEnTYWzEcWDi0ZFSRl8rn85ZVrdVq6u/vV61Ws4ApyEP1TRPY73mW1ep5AfvW1pbm5uaMBrK7u6sXL15YcToUGhoe0SUwkUhofX39yvfmawa4R7IX7EHeR/O1Nj5YJ0ho5Id434mzk2DEZ5eCGeS2tjbzH46Pj615zg/xelvivPoL5csZJM8VAe5nc6cworOz0yKAvr4+JZNJ43p4CQ4+R7pYPDxIjyr57/fRJT9vxhpxMRpFsRx2EMtTqZSeP3+u5eVlVSoV21xJfVJQgNbZ5OSkJicnNTo6qu7ubi0tLWllZcUQsEQioVqtZsUokuwgDd5vs9ZoUw3+nIkGOpXL5XR8fKx4PK5qtarl5WU9efJEm5ubam8/l6bCkRkdHdXY2JjGxsa0vLysV69e2eIm5TE5OWkcZlKefsMPplObtSDSwXwkJeQDC0l11fQUNpE+fx9i6jmJQaeNayeo8s4raRKQsGYPlMvGH6RQukjZ+lbEHjnu6uqqQ09REmhvbzf+79DQkCYnJy0YgG+F88hhj0PZSGrOX28zBlpAsIHzQ0BH9fro6KgJ0dN20u853gljLVEgwz7hEVTGhzVOYwDQCQ6CRtzXZszzoFlrXuAeThpBFgeBR8iR36NL0+7urtra2oz7yaHJPgKCzjOAH/s7v/M7hnzs7e3ZNeAUteKcSxfIK58Hz5tAcnNzU69fv1ahUNCNGzcUDoet6yL8XRxgeLmpVEq1Wk3379/XgwcP9PbtW1MWQF6K4iDub29vzzi9Jycnikaj2t/ft6C8Wj1XPkkmk03dn38mPF8ycjw36aIVNE416gcjIyN1DUKgzY2Ojtrrvb29GhsbUzwe1+bmpnVsHBsbUywWM8QWwMhT+4LI+YcGlHyGD4i5djJzg4ODSiaTJrLP9Y+MjFh2hNoJ0v44guhzI+HEeRsOh9Xe3m7rHGoaz92jfq3cI+tPkhU1gdS3t593fltaWlIqlZJ0rn3b3d1tUm7FYrGOrsD1+D3fPz9+TrOmqakpTU9PW7Heixcv1Nvbq5mZmTrnHqnDcDjclPO6t7dn2Rhf9BV0Xn1w6QPrIGc7CE54tJW90J+Z3n/ywSKfTVB9dnam/v5+RSKRH+T1tlTi3Mhz9gUFPo3Ge+BVclCSigyFQladV6vVLI0Hx4OCLKgBPExeC6JMfJ+P9ls170AxkP6A8jQHxPjpGc81wVM5OjrS0tKS+vr6TDybBRmPx1UsFq2grVAoaHh42A5V7zQFD81WDpQg/xMLBiMUyaB/6LV6FxcXrXMRHYqGhoZUq51TKkZHR3Xnzh2Njo5qcnJSi4uLevbsmfL5vNbX13Xr1i3roEL7O+8U+utpNg0UTPf6aJM5waaJc9veft4PfXh4WNVqVaVSyQIFUpkg/UStZAzozNTZ2Wlt7k5OTnR0dGRz1UfhbLy1Ws10iZuVWQoah7Ikc0J5pjiv9H7f3t42HiLrSrrIevjK7mq1WtfVBYQVxxU0lNQTzu+HICAYWRucOr6LMWhrazNdz0QioY2NDR0eHiqRSGhmZsb48Ldu3VI8Hrd0OUEYmRD2LPjOfo+BP8pa9YomHnVtpWDLo0fMS6+pyeHJPOTnKCZQ5JTL5cxp4PfYb9va2uyQki72xd3dXeOCzs/Pa25uTp9++qlSqZRp4Pr9tNVsD+2R2Z+9pCGHd6FQUK1WUyQSUVtbW11f+Gq1qnQ6rW+++UaZTEZLS0sqlUpWkPXZZ58Zd/7bb7+VdNEZLZvN6saNGxobGzOOIfcsSaurq3r58qV2dnbU29urZDLZdGe4oPNKepkzzKdF2dv6+/uVSCQ0PDxsLaaRl4TziFIExhwvFotWGNzf32+OLo0omMMe/GmF0uLNB6I+E0JGIhQKmRoALUxnZ2frzgdahFcqFXP2qKFg/x8fH9fnn3+umzdvqre3VyMjI1bRPjAwYA5wKBQyCgUBnlSfqWnWAKL8HCXw7+7uVrlc1rNnz6zJQjwe1/HxsXFdParKnPCF61gQHcYpHhgY0Pj4uE5OTpRKpZTNZpVIJExFxGvBM0+asZWVFetWx73x7I+Pj+ukt4LgH0CQd/Av2w8aod/BrDvnBe/lbIb+MzQ0pFgspqWlpffeU8u0Ac+jCTqvHJ6kbEl9UTXHwceBUK1Wrae6R6XgdaCh6jsSUQBAy08OD4+Gfaj8EObRET84vpVoLpezVn9EbqTTc7mcOVS0MUwkEsZv5bNwEBD0J2WE4bx6B/ZDrFGavFar1dEF2GjgHNEClkrRSqViaWVJ1imkVCpZevr27dsaGRlRtXquybi5uamNjQ0lEgmTzPG6q41SC80Yz4y5yCYCkocz5FNWIL8ejYQ7iG4wNA5E/72KBBsKCEKhUND+/r7a2toMkcaY311dXdbWs1ndvuCz4fAA4eFA5L7oYnN0dGSp9YmJCavIR2sQPU34whyGvo1wR0eH8Za5H+9okSa6jAZyVSOwCEb/cDlxwMfGxjQ1NaWNjQ2Vy2XduHFDv/u7v6u5uTlz9iKRiHK5nDUsmJ2d1Z07dyTJCi19xz9J1pN7cnLSWj/CE/N8V9L/zQZZft8EafWIR/DZsVYo0trb21OpVNLe3p5RP2hYACUHLjAoMvO4VCppe3tb6+vrCofDGhkZUTKZtAIuglTus1XnhxQ/hy/cRgput7e3FQqFrGD14OBAGxsbyuVytl988803Wltbs3acyPf09fXp9PTUuth5RwFAAeWBiYkJ5XI5STJ+3cbGhtbX140CQxOIq8j0BMdGkqVWOYuCcx7UGQQNdPLk5MSCEChPwYAWeTd0tbPZrLq7u42GlkgkLKjCYfXf7x2SZtdiMKvJfCcrQOBXqVSs3mF6elqTk5NaW1szB5CGEhsbG5Yipm5ienpaDx8+1MOHD60odmtrS8+fP1cul1MsFjMwhOCfYqJIJGJ7eCvZVulcrQWkUJKpULCXUc+yvb2t+fl5RaNR0+JFRYBn1IyRERgfH9fk5KRlTKjvwdmDUiOdK3NQE3NVe/r0qWWJaRtdLpeVz+d1cHBgAE0jznCjvajRfXpnlD3M/81n+awAPGPUfWq1mgYGBizAfJ+1VLAl1cvH+HQEKBMpBZxJdPWIsjs7O60dHORhnBc2TN8ZhcMDNIgDCW0+qAR8b6s8NH/o+kFjU8K5YgF71HV3d9c2UITTUR3w0SopdpxynBvSIaurq2prazM6hZcSCaYfWjlUcFCCCC73B49qd3fXJjrtRFOplN68eaNCoWDPQpI5RfS1JrWBtmssFtP8/LxevHihTCajN2/eaHJyUolEQv39/ebwU6SCtXJ/nrfDRgjq6jlt3d3dikQiNv+I8jlAvLYejgIObLlcNtSBQIpniVj84eGhBWwe0cGhpFiRFPCHGFExB7B3yEFfh4eHrbhnd3dXHR0dVkRZKBSsGp351tHRYalIaBTd3d2GGuGo+7XnK38/9J6CUb7nDRM4dnZ2Kh6Pa2FhQZlMRisrKzYmdPF5+/at8vm8nj9/rhcvXqi7u9sOie7ubjskFxcXLfon6JiZmdGNGzfMyYcP5zM/ZGBaKRTxSKkvGGMvlC549nAJu7u7jbdKE4b29nb19fUZOMCcptLbI0use5wH5LOi0agePHhgc7dWqxmA0MgZu4odHBwYYu3TjgcHB3rz5o2y2awF9MfHx9bEBgeSimtfONjZ2an9/X1tbGyoVqupWCxqaWmprjvW/v6+UqmUotGoYrGY4vG4xsfHLUDDAQChjkQiNpatjB8WROR9IEJqXZJxb7u7u5VOp7W4uGiO/sjIiKnvYGidkg2jery7u1tTU1NWsc9cJAi6jMqCI38VC6aTOXd4dj09PbZ3n5ycGDJ5+/ZtlUol5fN5bW5uGic9nU6b80lb8RcvXqij47yLH4XYqVRKq6ur6u7u1vT0tBYWFhSNRm0P7unp0dDQkPkGrINW6gdwpEDL+/r6bP/M5/OWkQiFLppJZDIZbWxsXOpIsidzvjY62wA60um0ZmdnTWmAfZdzBn4/6H6zigqvXr2SdCH5RXCALi3Xy3V50ADgzp/3l/ke3k8JgmPcr88sEUjSWIUgErrl+6xl5JWb8TfgU7I+bUnxEgc1PchBZnEG9vb27FBH/xTZLIpboBjQe52bZbPw8LqkpidycEB8tMq9+Agd3bdUKlUXgUkXRRegcixW0DucJdLPqBZQVIMWp69K9tfUqvOazWbrUrKgRywsKi45eEAYy+Wy1tbWtLKyYmnFjo4Oc9KLxaKlGFgkAwMD+uyzz/T555+rvb1dsVhMm5ubSqVSmpycNCdod3fXCPtc22Vj8vf0JpoAACAASURBVEN2eHhoBwjp5kqlolDooqBKkun0wc1GgPrw8NCKQarV884uVANzfZVKxTQoCaAIrpjLdFbBoWDh+oPcI4rNWLDobnh42LiffJenm4Auof1JY4nNzU1zBOFDkeYFeWCdQz0A9cIpYTOFRtDK/TQyn7Yie0OvbzhS4XBYsVhMCwsLymazhig+efJEbW1tGh8f1/7+vpaWlvT9998rk8mop6dHBwcHWlxcVEdHh3K5nFKplPHwQL4oqJmamlJvb68JwtdqNePbEpR4XlczY8j9sT/4fRMnmWeB0oAkcwrgZYdCF01EGBeq+qEPHB4eant7W+Vy2b6bgi/G9caNGyoWiyZzB/raqjF/cDjIMuC85nI5jY+PG7CxuLhY1xpyf3/fOLoEZJwZp6enSqVS2t3dVSqVesd5XV9fN8UBKCKnp+fdxuBnwucm89GsLjjgDMaeyJnEPoYzSuEuWScKdZeWlnRwcKBYLKZYLGYqLTwr+svTiAJqAtzevr4+xWIxW3vsXR5k4gyT9IMpWW9QdSTVrW+46L29vUap4qwj41atVvX111/r5cuXRp8L0vvK5bKePHmiVCplTgvI7tjYmG7fvq2FhQWNjIxYllU6Bx9o7iNdBA6tIK+0sq9WqxaE46A+ffpUr169UigU0ujoqDo7O83hfF8bU+YVvgJ0h6DVaudFX6lUSnfu3NH4+Lj29vb06tUr7e7u1ql08Eza29v1/fffX/n+2EuhINFKm0YR7HGMrZ/X/v9+Pw6ey8EMbiPj3GJtsE7z+bwVog0PD//FOK+NHohHA0F/QGBAvCRZa0KcPiY6XThAfvr6+hSPx60jDhsz1AKEfUnnghL56ucPSTs3Mj6HdDPRP6m3fD5vkh5+onAo4WTj+OLgkx7i2nlGw8PDttHTyerg4MCQMf/8mzUcTz6DSIeDGDQH54WK3tevX+vbb7/Vy5cvTRbEcx6J0EDeKFygKxecsoGBAUvV3rlzRxMTE6YMQIrfc0SbHUPSch7V8pXqoDcdHR0Wzb59+1bb29vmRLPp1Go1O3g9pwo+M3OZ9/pKeIpNQGhJl8Ll8+hIq2nZ7u5ujY+P6/79+1pYWLDNlbHlmiRZup+5B2qAQ44R3UsyagWdi3BcPWqLIxBUVPixjGfOAe1pDNCPpqendefOHRUKBT19+lTfffedcrmcJiYmVK1WrfsNc3p3d1eLi4vmWEH56ejo0MjIiMlr0VSDg2d/f19nZ2caGhpSJBJRZ2enzdlmx5ADmj/BJglnZ2e2lggifYCELnEodF43kE6nrXsaewypajQnSROyZnFoqQ4Ph8NaWFgwfeqNjQ1zgluhYUHr8jrCrHWcMNBkDnDvhKK0IsmCTOkCOUyn0zo6OtLOzs47iA7Ura2tLTsz9vf3lc/n9fbtW+Ppsx7D4bCl5a9qQUQap46g2e/PXV1dGhkZMeULuLnQr5AwglpwcHCgjo4O7ezsaHt7W/l8XqVSqc5R9HQJnEaCIL/HM98Iapoxv7cHaTxkVXlucKsHBgY0MTFhWVGCLdRMfPDNWNHYRzrnPd65c0cLCwt6+PChpqamDFA5OTmxJiReVqlVMEeS+RaSDNGuVqva2NjQr371K6VSKePdnpycaHNzU4VCwX7fa9Lyf850Am7OVOYp3yWdZ2pTqZTi8bhu3Lih8fFxvXr1ymhBe3t71miDWpFmnNdf/OIXki6k3QqFgknNvX792roR9vX11XF1GWOeMXSURnuBP8uC4+CLwpg/oVBI6XRaX3/9tYrFoqanp/X555/rwYMHBrK8zz6oPWzQvNPm0wmgpUzot2/famlpSel0Wvv7+yaFxUKEIE1zAjhetVpN0WhUExMTSiQSxssD9fGCxR55asYum/w+TeIbCVQqFUnnjjkVyfDXqFLGAeD6/P+RCuPQQgaHCQqqd3BwYAcsCyMY9V/VmHw+jcU1eBkNVAToCPLy5UujDOBgShdV7Xy2R/uq1arW19e1v7+vhYUFQ9Oz2aw2NzeVzWY1NjZmzw4OG7qUraQrPTcYdLmnp6cOGeC54hSxWCC0U9ntsweeIsN1weHzFJWBgQGNjo6ao8icOjk50c7OjjVm8BmCVm1wcFD379/XL37xC92+fduQeu6bNKNHveBZo7AA38g3F/HB4PDwsGUB4GF7hy8o0dWI3tKKBdNMpJc56OjqRpAwNzdnB+OzZ8+Mxwr9gQ3ZO0F+bMno3LhxQ7/1W7+lTz/9VPF43NBypJV4Lsj7eaWFZow17yu3veoBB0F7e7vtFbVazRBgfw84DjiIVGUz/jg+XjSccTk6OlKhUDAncmxsTHfv3jX5rdPTU5vLq6urTd0jgRuUiN7eXqM0kJnhwMzlcuZY+mc0NDSk9vZ2U0PgGZFu9LKMwTHY2dnR2tqaEomEZmdnjfu6v7+vkZERRaNRk+CiK9nLly+vfH9BZ5D5Gqw0p7gwkUhobGzMEH/6w8MHxsGEkwt3HmkpgieCUh9Ys+dJFxlSn4Fiv2pWI5Szz1PM/M+Yc1wPTnd/f79GRkb08OFDE+NfXFzU2tqatre3GzrRQ0NDmpmZMaf17t27SiaTBhZBhYnFYia9hUPUKtghqY5iU61WDSxaW1vT4uKiyuWybt26pcHBQa2vr2t1ddUyAo2el/SuIpN3/jFePzw8VDqd1tbWljmvk5OTdh3lcln9/f22Fpo9N/7wD//QzkO45KgnvH792vyVmzdvmtoM484eELyPoHkAxN9n8HkQXB4cHJiyQjgc1kcffaQ/+IM/0NTU1F8M8trIefUP0kdjAwMD1t+YdGQsFrP0FlEForscLjizVMNFo1GTX5qdndX09LQNIo4YldPA4q1ytBqlPFkcLFL4MIODg5qamtLx8bFu3rwpSXYIkXqAPwqqAupFcYvnzYHEcB9MHv+8g055K85PIpGwqmacNFKgEO9BECj8AVmKx+OWvsN8VMXG7SOsSqVi7QB96g/VApz13t5e7e3tKZPJ1KkXtKo2wO8SUPlNCWSE1BcLkjQWhUpBrnGjFCqfw9jBs4OvzTPa3d3V1taWVTeDSrXCzcb6+vp069YtPXz40FKRPiWHE0RKjeuk2DEej2t/f9+KXvzhx4YGwsEBBs2AOQGthAOSPx/qmHtHmHXO9YCQU6wUDodt06O48NmzZ8pms3bI+BSq34A7Ozut8GN8fFwPHjzQJ598orm5OXV1dZnOMTxvvo+AiHnTrPOKBBaoNU4rr3kUnyAXFBXqguewcS/sUb5ICioWCK/nCCKZxXgNDAxoenpae3t7xntlfTbrvPKZVIWT4l9fX6/jiqM6AHJH9oDaBkl1KD+FaMxDLJj2L5fLWlpastawaNtubW2Zk+UVYKLRaFPOa/Cc4WDmWnFuOftQmTk5OdH29rYymYxRBABDkAjKZDIWgJRKJW1tbZkDB0objUZVKpVsjaJJCvULBNanjJulgfiUcZDO5UEdeNqoktRq52oqFIYmk0ndvHlTr1+/1tramnZ3dy0w7e/v1/DwsJLJpObn5zU/P6/JyUlrZsN6p/5lZGTknYJmMmKt7KWk5Jmnh4eH2tzc1OrqqsrlsvkYR0dH1u3MO69+3tVqNRt3Mh+oJ/E+f42cbzs7O1pZWVEymdTExIRmZ2eNXpjP5zU5OWngRLMByPz8vK0bMi60ff3++++1vLysiYkJDQ8Pa2hoyMbTa5zzjD3y7s07q5xpQXob67pUKlk30p6eHt2/f1+ff/657t27Z7rHP2RNO6+NJkiQ+8pC4SLgrJKiJi1HRM4Bw0bkpXj4nEQioYWFBc3OziocDttDID1Lq0Q/mVvh3rGpews6jhDiY7GY7t27p+np6Xc4QTglPr3C5CGVHSws89wSomuicSIhL5beqsXjcZvEOAVUGvqIC0SNNOnCwoKSyaQ5s35ykxLhNXidvhqYMevo6NDo6KhqtZq2t7eVTqcVjUbV2dlpKTTQrUbj8UPmiyU8egWyzCGBc85YhcNh24h3dnYspU7U2Wgued4XGoVUV/ux9RXeOM8eyfgQ53ViYkKTk5Pq6+sz3irPjAMMxAVnEwoL6ws00gdFHrVhHDg04WYTpJLa9ZJRzGf+btZ8cagvGEHgnblCf3Rky+7du2co18uXL40ewaEvXWy0bW1tVh0Nt256etroF9Vq1RwKqnL9welTjK04r8xN7xzgYDBXCRp8vQH0KMaJe/L7Cminl4Dj9WAK2FeOS+dO4+TkpKrVqulxesWMq5rf15AB+rM/+zNtbW1ZO+P9/X2trKyYlrR04ezSvc07A8xxPv+HbHt72yra5+fnNTY2pkKhoI2NDe3u7urevXuKxWLG+Wv2/vxcwtmsVCpGATg+PlYkEjGtVvi1rCeyjyBcdFFi/AgYcQg5H/b391UsFq3zHZ3z4O1z/tFamSxgK2diEG3zjgp7IOpB7JvUsDB3pqamTJqNtQs/l2A+EolYkAFwsrOzYwWmSIbxXY2slb3GZ427urrMudra2rIgvqurS4VCQZlM5lLU1RtZEorMr3KO5XI5raysKBKJKJlMand3V999953Vk1Cc5qk1VzEafvigcGpqyupu8vm8Nfe4c+eOIpGIzc9gqt8HLUEgi/uW6pWpPE2iUqno9evX+uabb3RwcKAHDx7o937v95RMJo0icRXFj5acVw6yINcH86gNkdXe3p45eH19fSZSH4/HlclkVCqVbKHDHY1EIlZIMD09rampKZMvki5EtpGcorLPX1MrtAG/gXnkB0kHJJc4DGKxWN33+d/33+83AN/JyKNdTAycLZ+2Jq2BE9xqOta3sfOVsb7YiBQcSEhvb69pYrJ5emkY0l28zmEDT9SnrDzfE+TDSyyBvNO6tNn79Dxc6aJKncOXw4XxwoHFAcJxp8c6FeZeAodxIsiigKe/v78O/QeFoUiRQ5n5+qE2OjpqOqQEidLFXOQafdDpx4jnBeoQNPiv3DdjSloQzVE+v5G1Ok+DaTY+H5pHKBTS9va2SqWSTk9PFY1GzYFFImlyctKKsXZ2dnRwcFBXtIdawfz8vO7cuaPZ2VnbuDmAocngEKOSwlqHW9qs4+ObJHjUlXv1AQivI0UEosae4ANlnwHhs32w5A8iP0bMGX63v79fY2NjVl39IUg6jhkdsCqVihVLvXnzRk+fPtXGxoa9H6kgECsKXf05Q6Apvdv6lPujUAoEWpLxldfX162YGMUP9rtm7itoPlvD9fb29ioej9vz7Oo6b+YyPT1tBXZwnxm/4LzgnIDWhZ42dRP9/f1WzEarawI/ngPqK82YL9DxqXnmERkSHwjRCZPsKYEIqOmtW7dsTnlKAtdKkxTOyJ6eHkOu6fTng+QglaFZg08uyQKI169fK5/Pa2hoSGNjY+rq6jJFB9aEL471FqRNNaJb+L8ZE9r+trW1aWxsTHt7e3rz5o0FbQApzRYWPn/+XPPz8xoeHq7bx6FbSedB3tdff623b9/q1q1bdUo48LD92eGvh3vGh8N/8AE67ZtTqZS+/fZbra+vK5FIKJlMKhwOWyH32dmZyTC+z1pyXvm7EWLEhOQg9BMMjUQGn1QBEYBPAZGC9c4pPIhQKGQOA9p3fgF8CPel0T1KFxWXOD2NnE6PEPD7wWvhvZ68LdXr44KGkebj93gPh1GrDuzi4qJdE1A+Gyjpcu+QcCB6FBmHJxiV8ax4Nt4Jx5HjfiVZGpaUF32ccR5w1psxIkbGgI2OjRVHmrGs1WpWKQ8aiyPri8iCyKTnK3p5OB9xHh0dWfX26emp8XuJ8HlfK+MYjUY1Pj5uCgO+YMUfXB7Z499+M/Ton3cUg/Jw3Btz1Dd58PPgQ5Bkb/4A4NoIeOB/np6emmTN9va2xsfHjVfNpnjz5k1DXjn0uV7k0nB4OcSQqaFCemhoSIlEwhpSXPbcmjGvY+s/x3NwQbW8U0YRCM8o+N2sPa9OwnsvAx38fs7YE6TgRLZirDfQZDIy0LzOzs5M4zTIgWR8MU+9gmMd3A+DmS/pfK+JRqOGTCL3RnEbSCj33Ix59I89nTXii3RBXtHh7erq0sTEhHp7e8158MEH687PD6le0gnnCRQSqgCZSVBdP56tFIey//rf49o83YqzBClIFBLQhmYPhWZEtgYwjEyDbxNLIR1cYehJ/qzxGTa//zZj1Hacnp5rcG9sbOjNmzfa2dnRzZs3TSObcUMXlvkWzAT4PTAIiEkXAYEPVvFr4vG4ZXfQhN/Z2VGhUNDq6uo7dImr2Pr6utUI1Wo1lctlG5doNKqFhQWtrKwok8kYVeHBgwfGNyZw9OdCoz3eAzzcu3SuYLS9va3Xr1/r+fPn2tzctALGUCik1dVVvX792qg8V+l013J72Eav+QgEpMvrpXkEjolOhT2oHb8LIsgGUKvVzLlFKzUcDtcdoI0mSbMLtREq4bly3ItPkftFByeJtBGLyv++j8yZwD09PRoeHtb4+LgmJiYUjUbfSdXhQAQpCM1aEJLHIfBIIocCP/cpKD85SWN5dEe66LTmFxki6qTBPAkchBOHgk1aal7uDISX58VrOATeySKSDoUuetsHv89v/EE0LLhZ1mq1ui5Mh4eHlpaBWwxFwnOFm7VQKGTIp+8y5w9w/16ca9YKToTfjC7LWvhgxX8OgRXvC6IzQWSvWQsiFZ5m0dbWpnA4LOlCPxMKQVtbm3XXovCB9coewpz2etQoR/BZFKQNDg5qcnLS0BdfDOgDlWbHkXHyqCn3yhzktaAGMs/B7yf+OoKomBew96hgI4QI59kH1syvZg0HxTfHoNCGwkEoSazFRs/HB5aez+uDfk+V8EGcP0tw7MbGxsxJwmGBptTsGAYNxIkiu87OTo2Pj2tsbMwcaPa2oaEh0yNmPIPBBa/772RMQMCkc0TW78Ws8SDw0kwTBqlxK9AgiOGLcQgucer83IFCdnBw8E6mx2cu4W1Dh5iYmFAkEqnLKPkA3Wc+WtlrqDshaN3a2lIulzOHlQAH3XWerf9zmf8RDB79636u4jNRqC1dIPZv3761drCzs7MaGxtr6v7Q8saQtqRd8e3btzU+Pq6lpSWtra3p+fPn2t3d1ezsrKH7PmiMx+NKJpPWvY/9EDClu7vbuNo43pubm8pkMjo4OFAikdDExIRmZmaszS4+AE2Lfsh+VOeVTS/owOLxS+eD5vu5M/l99TwDymIAteMQJrLDyfKbXNBacV6Dhz8Lg+v0hwY8UYp8iHa3tras448kc9g4hKSLTY7IfHp62voZI/IPaugdguBh16zNz8/XfZ7fiIIHMpvp2dmZFV6Vy2VDsLgPn5ZkTHFucBxpHdjR0WG/z4HDHAJp8vSIZu/TOxd8Pw0GOMAYx5OTE3NYvDSZnzd+PmJ+U/JWrVZNGcIjYDhO8C59Kq4V5xWHxBc6+nnBv3Fo/SHv0VNoOt6xkeolUryj7hFCj9b9ULbjQ5HYRkgGqAFOTT6fV6VSsU3aZypwUH36lWd1enqqSqVSp70Mx45Nmg40/hl5lLoVx65ROtbfG8+XYIy1GHTk/bVgOGsEbzivHkQIOq7eUQqi3q3cn3ThvGazWb169UpbW1uWOobPurCwoPHxcbvu4H35ed0owyFdjKWf/5hHnD3ljAp5sjS+U+BVLbg/BVFgnNihoSHjcDK/yuWyNdMgk8BeydwlqPLBvv8Orx7AGMG1JWMEMNTR0WGI5oeYH5Og8+7nM0WAkUjEZL1wdg4ODiTVZ7A8KEUBsQ9Y2M+C55N3CC/zA65iIIzlclnFYtHONy9TCXeYOerrOxqdCaxx3sd1eqqPn9M8T5BR6iModszlcqb80owNDg6a2o0ky65CQ6KR0MOHD/Uv/sW/0K9+9Ss9efJEL1++1MzMjG7evKmZmRmb1xR1klGH9jI5OamBgQFzlldXV7WxsaHNzU3t7u4qGo3qZz/7mWZmZhQOh+scdVqTo1Kxtrb23nv6YOfVb4Q+YuffbIQ4amwgoB/8aZTaYiNlUhDJ+tQB7wumS1tNXQaLI6T6tCX/ly4KwiDbE03iqJbLZWsI4DmhHomlOh29Ue4TR8o7TY0OkFYW6q1btxoemp5bxRjyHCqVitbX11Uul/Xq1Sul02nrfMMhyfX5xUgKv1qtWlETkTpdn0ZHRzU4OGhpQY+qt5IG8hsrOoOnp6dGTYHPWqvVDGFrb7/QK+zv7zed10YOBhac98x9UHeCLQpmvFA1Dj6f38pc5eBlnHwQ5yP7YCDAMyV9y+EY5Al7pPayew+myRqtO+/cNmNBB4TX/OtdXV3WKauvr0+FQsEqvbe3t1UsFi3w9M+A+yT4DHb46+o6b8cIytHW1mbcZx/gBhHqZu8v+IfX/aHn0TP202DAedlz84GMd1LfF3z5PdVnKlqhDhDU0hRifX1dMzMz1tq1Wq2amgzWCHkMXjOveQctSHXxAAn3QpaC8e7p6bHWuDMzM1fi2nljfWE4Jd5AoOgW1dvbax2+4Fdzz1yXl0Xa39+va0zgnUYCT/ZNwCH2GrIS/sxq1nkNBkjBOcT8CzqOZA4HBgbqgsNCoWDXTcEn+24kEjH5O98AxFMDQqELih7jftlauKqxj5bL5TqqAzxtuNAeFAkG7aDbQWoSv+ezPb5+xe+z3Kd/3kipkU0KhUJNjyGOJkZnz5GREd24cUO3b9/WxMSEcV17e3v1y1/+Uul0Wmtra9aUh4Y7ONJwqZn3dLbr6OgwXWma/oyNjen+/fv67LPPTH+7vb3daBA4r/h5f/Znf/bee/pRkFdex0HjUPWIDlE/g8/EIHrxTmwQ9fEIJRWhRDu+ejY4cVtxYEE6g2hno/sPbo4cZrwHdIv79lWVFH91dnZqZGREiUTCUkrBVILfiL21GmEiuh78fR/R8p04WJ2dnVpfX1cmk9GzZ8+USqXqtPFwehlb7oPr9BEmaRh6e4+MjCgej5t0lOf+NusQ8H0edWOe4LR4JYdyuWyagzxz+GkU5njH0JunkXiEg+fGpsQG7WkSnlvX6MC7ivmDms8NIqCMh+eEY0GUNfj8Gv0Ov+df84fvZUjghyKvwbUYdJZRMUGeb29vT8ViUfv7+3XqJaBZUH38HkXFNMEU+rZIYmH+eQXTpc3eUyO0yI8L6w90yj9rj4J782PRiE/tD99gNiHo3F8WuF3VeC7VatW6+lDII100IQDQ8HqlQX5dMFDEgQFpBFX03eLQvB0eHraCSqgUnZ2dmpqa0sLCgubm5iwl3IwFgw7/unTueJRKJesUlk6nrdHG2dmZcRuR1UNWEoeuvb3dij0ppGX9nZ2dmaPa3t5uhVtBlBmnjzFtttinUUo+GLjyd3APYi/xsnBeb3tkZERjY2MGXviOmf57/DzEnyDo9gG5v55mDE785uamtra2rECzVqsZUs5Zh6Ppv5dOdRSfVyqVOrDJ+wq+MxhAnHRBf0LWkCxzOBzWyMhIHU0Sffmr2tzcnPla0rkPAKUKWUrAm08++UTDw8O6c+eOvvvuOwOrKHAkKCIbxFihB59KpYwS0tfXp+npad24cUOzs7OanZ1VPB43lJsMEYGlz+b+kLWkuXSZU1itVt/p/uKJvvxuEGXFsfWHu0fvmPg4h0RB3DCVf0yOVlHX4D1K9YuVe/Tv4Zp4H5tqW1ubpYu8M4qMUqVSUSaTsYPXtxP0hQN+cwymClu1y1IrHAosHFBJ75iTouK+stmsisWiXa8POLgfnFu0RVm8kUhEHR0dRkqHBO+vs5WxpKq/VquZeDsRHfcORxldW49iwruhOUYoFKqr6pYu+n37ykucVxBkH1T5FoakcHleUmuBCM4XB1VwbfH5Ph3lMxrekQ86KUHnsNF7/Pfwb3+Qt+rwYJ7bFrwvn70AqSC96LuagbIdHx9bFyboFr44MRqNKhKJaHR0VPF4XJFIxIr4fKGRRyMboYHNmM8WBQ/8Rp8dTOc3Cpgl1fGzvUPhnW7//IJ7XdBZ+ZBxZH/v6emx6mkUBDo6zttlE2B4tRIaGbAmg5xiDmLAkqADy9jSOSgWi1k6mrU5NDRkB2o4HG5JwJ975JqCY8SeyZlYqVQ0NTWljo4O41/DySaL1d7ebrrDbW1ttg9zzwQXqLLQsAJJsyB9gvFjj2gWQWeeNEL4g0GcD5b8Wckz7+joMJmpUOict49aCusKEAwN5Ub3ggWzSd5Jb8ZACSn8rFarikQiRueAx8veTsHt27dvlcvlrDitWCwaLQwqpJ+re3t72tnZMZUTzn7umXmLYzs1NaVkMqlIJKKzszOjEjRrs7Oz5nSyHumYCD0RaubQ0JCGhoZ048YNzc/P68mTJ/rmm2+0vr6uUqlk8xY9XI/0+3lBkevk5KSmp6eVSCTU0dGhQqFQF4ChLtXf32/B3l+IzutlxiBVKhXlcjltbm4aCdenoD2iymQMHpA+5et5dn5yV6tVk9OKx+OSLpzeD7HLEAeu0zt+/hDzyBwRVLVarau+9Gl5fh9ZE+6VieDTk35B/hjOa6PDiO/w94jAtyRr69vV1aXZ2VkNDAwol8vpT//0T5XNZu1zWBy+2t9H4GNjY+rp6TEpFCLnyyL7RojzD1k+n9fIyIi1xDw4ODA+FUgqzibj47+TYMlHqn4TlepRVzIIHqEljcQc4j49Tys495s1rsn/2wdv3tEKPlvuIegMeUch+Oz9mvAomEcK/fd8qPP6PhSX6w0ih+wBiLbjMBUKBeXzeUPA6FJVq9VM+HtwcNAoPJ7niQNGUBp0+vyzaMYaoa5+vfj/+zlylSCCaw2+rxE6H5x7QcoU72klJetltxAgPzw8NJQNLj0NEbh2xoyD2gfw6DX7tDFObBBI4BCdm5vT3bt3FYvFDP0aGhrS6Oiouru7ValUVCwWm0Ylg/txI3Cjq6urru0raDJtug8ODoxLCVhD0Ut7e7tp9A4ODpoChHRO5cLx2d3dNYfWB7J+X2jkVF7F/F7lHUlPU2JPC1IBfdGuP8vQW9DiJgAAIABJREFUgMVZYw/1e0vQCffPmTHkmjzy2sq+wxxkT/C63SMjIybe7wG1Wq1m7WPfvHmjUCikaDRqzh/IOQ7azs6ONjc3lcvlzHFHjgpABWpIJBLRzMyM7t27p2QyqcPDQ7169cqKyNDAv6pR48Ezevv2rdLptHZ3dxWLxawjpOd8h8Nh3b171zixdD3d2dkxCbQ3b97o5cuXKpVKRkMIh8OKxWLWSlw6LxDL5XJqa2uzDFdPT48VMw8MDGh2dlaStLS0pHw+/4NZkJalsvzG5yccvbJXV1etewhcMV8pD/werBblMxsdDmxubEp9fX1KJBKGdrHY/cbf7IYbXKDePMrqDx4iM5+mQZcQjiWbLCgffxMxQ4L2zqv/Xuldx/rHNu/A7O/va21tTS9evDAEkUI72vyCLrMQBwcH7d54TtVq1dDBjo5zken+/n7l83kbS0kWmQbHr5X7zGaztqHm83mTqIKbi2MpyWgovb29Fj2SwsJ5xfn088k7NNyrD8g8cuCfb/CePPrZjIFYxONxQ3U5pDxnqhGdxlsjlC94TY3G4yoOVfC9rVjwd4Prj/sOHpq+aMaj0F6/l/GGogIyAtUDybRG687TNfw8bsa8c3mZI8lrjZBUrqkR4tUIrQzeA9fgv/uy8Wx1DFnXvb29mp+fVywWM/kmDlQKQeHR0UKZzlNcj3ShYlKr1bdm9tQqCutCoZAFrWj5jo+P233ByaTV8d7eXksBSKM57wt0ON/8fDs6OtLOzo4F0jisVHSTiWtvbzdUkkIY5je0CNYrKHVwP/FnVSvgR1CCz983TqY/m/1YBMEe1iPnH/KZ0My8DFaQruUDav96o72nWYNnGY1G1dbWZjKNzBvQT87CSqWijY0NU6tAkYQW1nB2eSbwYUdGRpTL5SzwgC4DNxhOaSwW0+zsrMn9eQUj5lQz9ubNGzuHSflD3ZiYmNBHH31k6i28h4BqZmZGExMTNm50RU2n0+rq6tLm5qbK5bK6u7sVj8c1PT2t8fFxDQ8PW5BGYweKbH2Bom9D7emGP2RNO68cFEGEgA2WTiB0Nclms3WdQZh0XisSkWgOYSSnvMZmkP9Esc/h4aH6+/sVi8UUjUbrNtlWkIL3HfiXLRJ+hwPTG2R9RKODBxEIs29IAPfrh9CUVjYirtcbGzbXfnBwoI2NDS0vLyubzSoajZojTqvMWq2mXC6nvb0909JEOxGSNuOF5BA0iv7+fkNDvUqBf8Yfgi6XSiV7XkjgoCsMKs6z913cPFrQ1tZW53yCsgYdzyB62ei6gw4i60CSpaOb5dpNTU1pbm5O8/PzRpuRZPzCYBB2VSfEO0KXOVKNnKlGvM33OWRXMY9ySu8ewrzW6PNPT08tFXh6emqtXxOJRB1tg/m5vb1t2SLSXEgneToT38cG752dZvcbfygHnSYPCnCflx3O3pFvtGd4ZyD4uY1oB/79fj22Mo7sASCg0Wi0zpnhACsWi9rY2FCpVDJZHfifkuoyIARo/JHelQhjD6UvPBxbCjWPjo7sNVBRnMJmjOvx/4Z6VKlU6iQgMZwZ9kBfcAVvFceQz4RSxWeTdZRkjj7PqFFWx5/Vzc5THwwH97r3Ocs+0Adw8uDVZXJI7ztn/b8v22tbcWJHR0et8p7uinRGGxgYqFNDqlarWl9f15/8yZ/o+++/t/bJyWTS6EonJyfWNVS60K2fn5/X9PS0isWiyXFVKhX19vaa1jS+UHt7u3K5nFKplEqlkk5OThSLxYx+WCwWr3x//+Sf/BOTomtvv1Cp6Onp0cHBgcbGxnTz5k0rCGsUvIZCIbuuzs5O7e3tmaNfKpV0dnZmxa20s2aflGQtpmk8hcMOSp1MJg3xLpfL+uqrr957T6GrbkiPHj36cNXx37A9fvz40ln9U78/6ad/jz+F+5N++vd4PU9/2vcn/fTv8adwf9JP/x6v5+lP9/5a7/d3bdd2bdd2bdd2bdd2bdf2l2xXRl6v7dqu7dqu7dqu7dqu7dp+03aNvF7btV3btV3btV3btV3bXxu7dl6v7dqu7dqu7dqu7dqu7a+NXTuv13Zt13Zt13Zt13Zt1/bXxq6d12u7tmu7tmu7tmu7tmv7a2M/WoetZu3Ro0cpSTOX/Dj7+PHjxF/i5XyQPXr06D+T9HNJtySNSDqUtCrpH0v6bx4/flxw7+2U9EjSzyR9IumepE5J/97jx4///l/ypV/Jfur3d5k9evQoJulfkfSHkj6SlJR0LOmppH8o6R8+fvy4eXX6v2L2U1qLQfupjWEza9H9zu9I+ruSfktSj6QlSf9A0t97/Phxc71C/wKt2bF69OjRlKT/UNJnOp+/UUkFScs6v7//8fHjx821zPoLtkePHv0tSb+n8/3xY0mDkv7R48eP/80G7/3J7KWX2aNHj/4tSf/Dr//71+K+Wt1THj16FJL0b0v6dyU9lNQrKSPpS0l/9/Hjx6//Um7gitbkuT8raeU9H/e/PH78+G//mNf3m0ZedyT9Jw3+/Oe/yYtqwf4DSf2S/l9J/7WkfyTpVNIfSfru15ss1i/pv5L070hK6Hzy/lW3n/r9XWb/uqT/TtIXkv5c5/f1v0t6IOnvS/pff70h/RTsp7IWg/ZTG8Nm1qIePXr0L0v6p5J+V9L/Iem/ldQl6b+U9D//pV311azZsZqT9G/ofO7+Y0n/haT/S+eO7D+Q9P88evToNwbQXGJ/V9K/r3OHdPMH3vtT2kvfsV/P1b8naf83fS1NWtN7yqNHj3ok/Z+S/nudj+X/9Ovf+6e6cBD/qllTe82v7Vs1Pkf+tx/74n7TC7v8+PHjP/oNX8OPYeHHjx8fBV989OjRfyrp7+gcHXj065crkv6mpG8eP3689ejRoz+S9B//ZV1oi/ZTv7/L7LWkf0nS/x1AfP6OpF9K+tck/as637j+uttPZS0G7ac2hldei48ePQrr/JA9k/T7jx8//tWvX/+PJP1/kv7Wo0eP/vbjx4//qjixzY7Vn0r6/9l789jI8+w+7FP3fbEOFotnd5Psa2Z3ZrBHshqtdmVp5cg2ZANRkAhJ5AAObFUQQVYWiAVFBiIribKBgNgxyk6MxLEVIIAQJBaQaJWNJGtXszOj3e6Znu3pg93s5n0VWffFuvNH8fP46tfsaf44PdM9VD2AYDdZrPp9r/c+773Pe9+IMcp1FLH8DoCvHb3+9z7xJz+9/F0AmxhEv38CwL/+iNeeJ106JEfg7p9jECn/PwF888U+kSk5i075HQB/FcB/g0GU9aQ9+7KJGbtPufVp2ZEXDV7PhZy0wEfyexgs8oJ6bQvAtz+N53pect7H9zTJZDJ/8pSf76bT6X8K4L/CwEB+VoDPXzg5b2to5iwC+LcBxAH8SwJXvkc6nf4vAPwxgF/CSxKBNbtWR7rmpNe30+n0vzp67cJJr3lRkslkBKym00a7/8Rrz40uPUF+GcBPYrBGP/liH8WcmN2n6XT6EoC/gwE94NczmcwTzfVfNnoLYFrXfOryosGrK51O//sAZgDUAPwIwPdeJh7Wx5S/dvT9Ry/0KT45Oe/j+yihsum80Kd4fnLez+JJcp7W8KSzSFDwhye8/nsYRPa+kk6nXZlMpvlJPtxzkFOvVTqdtmEQsQT+Yuqml1rS6fRVAL8N4B9mMpnvpdPpzxR4fYactE//PQwomv8CQDCdTv81ANMYRJ3/JJPJLH+6j/ix5aPsfiqdTv9tAFEMxvdOJpP5RM7giwavSQC/a/jZSjqd/o8ymcx3X8QDfRxJp9PfBOAHEMKAx/ImBgv82y/yuZ6XnPfxnVaOeHT/4dF/TwIGn0U5V2fxWfJZX8NTnsXLR9+fKATJZDKddDq9AuA6gIsA7n2iD/wx5FlrlU6nYxjwSC0YRJp/GsA8BrzC//tTesyRnEKO1vJ3AaxjEL07N/IR+/SLR99DGBQTRtXv+ul0+p8A+OWXNVBg0u7/9NGX/vs/BfCLmUxm/Xk+14ss2PrnAP4SBkbTh0HV3v8IYA7At9Pp9Odf3KOdWb6JASfpVzBY4D8E8I1MJrP/Qp/q+cl5H99p5bcxIOf/QSaT+X9f9MM8BzmPZ/FZ8llfw9OcxdDR99JT3oM/D38iT/j85FlrFcNgLv4+BjSISxgUGv7Nk1K0I3mh8vcx6JzwNzOZTONFP8xzlqft08TR998EcAMD/RrAQOc+woA3+huf4nOaldPomjqAf4BB54/I0Rc53V8D8MfpdNr3PB/qhUVeM5nMf2n40YcA/k46na4C+M8wqGj7G5/2c30cYUuhdDo9DuArGGzm99Pp9F/NZDLvvdCHew5y3sd3Gkmn07+Mwf68D+A/eMGP81zkPJ7Fj5LzsIbP6SyyIvqlBXinWatMJnMfgOWILjCJwV79TQBvptPpv5LJZPKf1vOO5OmSTqe/hEG09Xcymcw7L/p5nqc8Y5/ajr7vAPgbCrT/yVHrtPcA/Go6nf6vn8bjfpFyGl2TyWSyGDgmWr6XTqe/AeAtDDoz/C0MuhY8F3nRrbJOkn969P2rL/QpPoZkMpm9TCbzfwH4BgYpgn/5jD/5TMl5H9/TJJ1O/ycYHL67AL7+F8AofubPolHO2xo+4ywyshp64g8HEjS87qUSs2uVyWS6mUxmPZPJ/EMAfxuDvra/+ck/6UieJYou8AAvd5TRtJxinxaOvv+hMdqcyWQ+wKA/agDA1U/6WT+OnMXuZzKZDgbtw4DnbEdeRvCaPfr+XEPML0IymcwaBhv6+hEv61zJeR+flnQ6/SsA/jEGUcmvZzKZc9Vz8Slybs4icL7X8Clnceno+xM9JI/AxAUMCksefyoPaUKew1qxSv9rz/O5RnJm8WOwD68COEyn031+4bj91z87+tl//8Ke0qSccp/yHBaf8jYEt57n/HifiJzB7pNecD5oAx8h/+bR95dOoZ5RUkffX0oy9nOQ8z4+pNPp/xyDVMktAD+dyWQOXvAjfVpybs7iX5A1NJ7FP8Ggif9fBvC/G177VQBeDDpKvFSdBp7TWk0efT8PnSTOgzQB/M9P+d0bGPBg38IA6H0mKAUm9ukfA/hPMeDDGt/DheOWU6ufwGN+UmLG7v8bR9+fqx15IeA1nU5fB7BjDK+n0+lZDLwYAPjfPvUHO4Ok0+krGDR43zX83IoBgTkB4O1MJlM46e9fdjnv43uWHDV0/00ANzEgqX+m08xGOU9n8WlyXtbwDGfx/wDw3wL4d9Pp9P+gLilwA/ito9f8k0/l4U8pZtYqnU5/GcDtTCZTN/zcj2Nu3f/zST3rSE4vR+nyv3XS744uX3gdwL/IfAauhwVM65RvYwDcfiadTv90JpP5/9TvfgMDWs93X6ZMkFldc3QW3zdydo/aoP3do/8+Vzti6fc/fa7+0Wb9exhUoq0AqGBQIfpXMLh7+w8wIDa/dORloxylDf47DPomPsKgt9k4BpV2FzG40u8vZTKZu+pv/h6AK0f/5R3XbwN4ePSzt16WQ3zex/dRkk6nfxGD6/y6GFxjeBI3cDWTyfyvn+JjPVc5T2fxJDlPa3jGs/jXMQCxhxhcRpDH4Hagy0c//3delop8s2ulLiL4Lgatl+oY9M/8tzDooPA2gJ/JZDIvzfWjR+vx14/+mwTwMxgAmz87+tlBJpP5pnr9udClHyXq5rD/+LMwlrPolHQ6/SYGt745MbimeQ2DFlpfxSCt/mYmk3mipd2LErO65qgd1nUAf4rBDXIA8Dkc95r+jUwmQ4f5uciLog38awyU5+sYpCZ9GPBB3sKA1P27L4tCPYX8EYD/CcCPYaBYwhg0eX+AwVj+0Qle2V/GYBNo+crRF+VlOcTnfXwfJReOvtswaBNyknwXA0X2WZXzdBZPkvO0hqbPYiaT+VfpdPonAPw6BtdWujG4mvRXj17/Mq2t2bX6ZxiM/4sYgFgvBvzBmxjcAvS/HBWMvEzyGoBfNPzs4tEXMAA1+qrU86JLz5OY1imZTOatdDr9BQxA+tcxOLt7GJznf5DJZDZPepMXKGZ1ze9i0OXjixg4jw4Mxvd7AP5xJpP5MzxneSGR15GMZCQjGclIRjKSkYzkLPIydhsYyUhGMpKRjGQkIxnJSE6UEXgdyUhGMpKRjGQkIxnJZ0ZG4HUkIxnJSEYykpGMZCSfGRmB15GMZCQjGclIRjKSkXxmZAReRzKSkYxkJCMZyUhG8pmREXgdyUhGMpKRjGQkIxnJZ0ZG4HUkIxnJSEYykpGMZCSfGRmB15GMZCQjGclIRjKSkXxmZAReRzKSkYxkJCMZyUhG8pmRU18Pm06nP/NXcWUyGcvTfnfexwec/zGeh/EB53+Mo316vscHnP8xnofxAed/jKN9en7HN4q8jmQkIxnJSEYykpGM5DMjp468Un7pl34JlUoFrVYLdrsdbrcbbrcbgUAAfr8fTqcTvV4PzWYTrVYL3W4XVqsVVqsVFssAQPd6PbRaLbRaLfR6PdhsNgBAu91Gr9dDv99Hr9eTf9tsNrjdbjgcDhweHqJSqaDdbsPv9yMQCMBisaBcLmNrawsbGxvIZrMolUrodDpwu92o1WqnHt+3v/1t/NzP/Rw+//nPw2q1olQqod1uw263w+fzYXx8HMlkEj6fD71eD51OB/1+X8YFADabDXa7HQ6HQ8bW7XbldRaLBTabDRaLRcZot9vhdDrhcDhgsVhkrihWq1Xel39L+dVf/VVTa+h0OjExMQGfz4d6vY7NzU2sr68jl8sBAAKBAJLJJBKJBLxeLyqVCh4+fIg7d+5gbW0N7XYb4+Pj+Nmf/Vn8/M//PF599VX0+300m004nU643W50Op2h9eN86DnhWtbrdbRaLbTb7aE5ajQa2Nrawp07d3BwcHDq8X3zm9+EzWZDuVxGoVCA1WpFIpGA1WrF7u4uVldXsbq6ips3b+LGjRvY3t6G0+mEzWZDo9GQddRr5XK5EIvFMDU1hZmZGUxPT2NhYQGvvPIKFhcXMTY2BgCoVqu4ffs2bt68iUKhgGg0iunpaUQiEbhcLgCQs9Hr9eBwOBAMBhGJRPCtb33r1GP81re+hX6/j36/P7Rf+v0+2u22fHEsFotFzqHNZhvaQ/yd3W6X/cXzys/o9XrodrtD7wdAXsfXcs37/T6sVqusd6vVwq/8yq+cenwA4HA4sL+/j9XVVeTzeczOzuLrX/86XnnlFdjtdtEv1WoVGxsbWFtbQz6fh9vtxuTkJJLJpOilUCgEn88Hi8WCTqeDw8NDmR+OnfuSuod7mNJoNFAoFJDNZpHP53F4eCj7w24fqNJOp3Pq8f36r/86HA6HfHa/3xc90e/30el05FwAkLPldDqHdIfVOohBHB4eotFoiL4bGxuDzWbDD3/4Q/zBH/wBdnd3sbi4iIWFBTgcDjSbTRweHiKbzWJ9fR37+/sAgHA4jHg8jkAgAKfTCY/Hg1gshlQqhd///d83tYa/9Vu/JXOk9x3Hd3h4iMPDQ7ED2hZo+8G/a7VaODw8RLfbhcvlQiAQkHWt1+soFAqo1+vye7/fD5/PB5vNhm63O3QmuM+5hwqFAnK5HL7zne+cenzUvdQRLpcLdrt96GzyHFgsFnS7XRlzv9+Hw+GAx+OB0+mE3W5/4hxXq1Wxtw6HQ/QU3xfAE+ef9oRnj/u51+vJa3/t137t1GPM5/OwWq1oNptoNBqw2+0IBoPo9XrI5XLY2dlBsVjE4eEhOp0OOp2O6DgtTqcTwWAQgUAAoVAI8XgcqVQKyWQSbrcbpVIJKysr2NraQrlclvOVTCZx8eJFjI2NodVqoVqtotfrwev1IhKJIBQKyfnjed7c3Dz1+AAglUoN6TqOQ88Z59uoO0/6AjCkb7keVqtVdCn1Kc897WGj0QAAeDweRCIRBAIBWcdms4lms4l2uy3n9TTyC7/wCyiXy2g0Guh2u2g2m6hWqzLHJ9kG/tyINwCg1WrJezmdTvj9fni9XlitVtGB1G38W+5fnhOt+6gT+JkWiwW/8zu/85FjMg1eW62WKD0qGpfLdaIBo3Bx9P8tFoscWB6ybreLTqcj36m49YHnAdJKzeVywWq1wuv1IhwOo9vtwmazCSgyI+Pj4/B4PDIWPi9wvFH5fNyE+ndGkEkF6XK5ngCs+ksfjpNEv/bjyklAmAcWgBiVVqsFt9sNq9UqRszr9eLw8BAej0fGZLfbZcPRwPL9NGjX8wVgyFDTwOn51s9qRtrttjgVNPStVkvGQSVYq9XQ6XTg9XqRzWZlXHw2AkwqMs5Vt9tFrVZDuVzGwcEB1tbWMD09jYmJCTidToRCIVy7dg3tdhvBYBB+v/+JcXK/e71e+Hw+OJ1OU2M0zpV2DG02GzqdzhOK1KhcjXLSHtMAVv/sJGVt3NMcL2AO1FFoIAFgenoak5OTSCQSovgcDoesozbOHCt/psfP56ejSNHOslGH8e/oYHK/83da4ZsZZ61WE0XOfcp55FjsdruAAQ289Ov5NzabDU6nE91uV8bIPa+NBvVlrVYTXerxeBCNRsXhNxpgPZdmxOVyyd9pp8ZqtQ7tDz3XBG71eh39fh9utxt2ux3tdlv0EtfM6CgFg0G4XC7RMzSenON+v49WqyW2ga9rt9vIZrO4e/euqfE5HI6hMenn4rioMwAMPRdwfI61Y8h54HjL5TLa7TY8Ho8AIL3HdaCA76ltid73ZxGv1ytgpVKpIBwOIxgMio3Vdljraj4Dn4tnLhgMYnJyEjMzM5ibm8PExATcbjdyuRy63S7K5TIqlQoAwO/3I5lMYnp6GqFQSEBtqVQSAGu1WiVwxmcxC159Pt+Q3jKCSz13WpdyXjlG/o5roF+r50b/jPuTX81mE3a7HaFQCNFoFIFAAA6HY8gxODw8NAVeA4GArEG73Rb9QaeK+oHnknuaAQ3jGjPo9eDBA+zu7iISieDatWuYmpqSvwmFQvB6vUNzSZ1GnUQ9TgxI8Fuv1585JtPgtdlsyiRqL48eIUUjduNh1p6v9ibpNVFJa0CrQWyz2RRlTVBCwMpoQSQSQaVSQS6XE0/mNPL1r38dyWQSAGSiu90uHA4HfD4f3G63RBkpRqVg9GQcDseQgdIgXQMDozE6q7J5lvDQ6LnXUR9GNxqNhigHRp5DoRAcDofMA8dxUjSPa09Hw+gM0CAalQSVnlH5nVaq1aoAc7/fL0CUkY5wOAyr1YpAIICZmRkkk0l8//vfx87OjiiKcrmMfD4/9L70XPP5PB49eiQHfmpqCleuXMGVK1cwMzOD8fFxJBIJeDwe9Ho9HB4eol6vo9PpyNwxWqA9crNraASWRrBqt9ufAGFGsMA9alS0+v313+ozftK+5d6mXmAUSjstp5XLly9LJJGOlMfjkbNvs9nEUQEg3n8wGMTY2Bj8fr8AXe0wcN9qsKDBtnFc3JN0zKjk9Tx/lFPwNKlWq0ORcx35pfPB85jP59HpdBAMBkUvGdeXAE5nrmjgZ2Zm4Ha74ff70el0ZN3prNFocp10tMjj8YjuMyvULTRc3AvUDXrudcS5Xq+jWq0KIKfObTQaaLfbMk7j2PX+49oRDPN3zWYTlUoFnU4HLpdLHPR6vY719fUhp+ZZwjnR58WYZeOaGp1Drf+MzhbtYaPREMButVolSq3fVztoxowJn0FHt8zq02g0inK5jFwuh3q9Dp/PJ1+1Wg2lUgk2m03mlc9HvUb94nQ64fV6EY/HMTMzg/n5eUxNTSEUCsmYW60WOp0OnE4nWq0WUqkULly4gGg0KmfB6/UKAKNd1QDLbCAAACqVytDccM+eZKO1jqVoXcJ1MDrMJ33XfwNA9gLPHr+7XC54PB60223BO2YkGo3C7XZLxqndbiMcDotdZGAKgETQqe94Hmi77Ha72MfV1VV897vfRSQSgdPpRDKZhMfjkWzN2NiYRHoZDNL6i9iR78vPP0223DR4JVDRXj0NhFbC+hBTsTgcDjHm1WoV9Xp9CAzriBk3Pwfn9Xrl34VCQVJHRiDI14TDYYyNjcHn82F7e/vU47t+/foT0T6+p8fjeSI9wQXgz7jp6dXTSOpDrH8OnAx+jSDDKNrInkX0BtJRPJ0y1ZEJAgePxyM/q9frknJktM9ut0u0hetD2gfBhY426Eg7HRYqIs6V2eg594LNZoPX60Wn05FUE/eqx+NBPB7H1NQU3G43ut0u7t+/LxFV0gc4Hu2R9vt91Ot15HI59Ho97OzsYG9vD0tLS4hGo5ifn8drr72GK1euwO/3o9frCXhlpFVH3DSwNyNGQ2SM7mqDqEGSFp0qorI1Uny4jny9fs1JkUqt+NvtthhiszI1NQWLxYJarYZ8Po9WqyWfaUxtcT3dbrdEu7XR5J6iXqIy5XvR0GowxLFoh0pHtYwpNbNrqA1Wq9WSddBGkwCmWq0KVSsYDD4BzrTe5c/oYPv9fszPz4uxqlarkknw+/0Ih8NDVBMaDxoaj8eDUCgEv99veg3r9fqQY6vpLIxU631DugBBDNdEO9QAhhwGro8eO0EA55AAkIaZaXvqPxrmWCyGUql06vHpCLgGqBrMGh0Mi2WQCSoWi2g0GkP2Rq8lAIl2ttttNJtN1Go10Ysco8fjEd3Kz+T66vPNZzR7FkOhEHq9HiKRCAAgEokIZS+ZTKLX66FUKqFYLMoYuLftdrvsMb/fL5HUubk5pFIpieB2u12h+1itVoRCIVgsFqRSKXi9XpRKJeRyOTSbTcn6eb1eRKNRoWRxvGdxsnZ2duTZtXCejesK4AldaQzcGHWtPrN0qLUd15/h8XiGcBP3O7FFtVo1Nb5AIACXyyVOHHUM7S4DWZ1OR84+AS2jtfzbWq2GarWKRqMhmfhqtYpisYhcLod2uy3ZeL2/nU4nfD6fYEW9D/n+zKSVy+Vnjsk0eGWImRE7pjL4MBp8aKPJn5HHs729jZ2dHWSzWRSLRVQqFTSbTZlIr9eLQCCAsbExJBIJTE1NCfejVquJB/I0nhri3RVmAAAgAElEQVRD0vTqTiv0QghoCFx1qksbRM1XI81BK2YqKm4UhsUZLTKCAaNBNG7u5yE6qntSVIzKk+PSqUcdTW61WtjZ2Rni7XBeuB4ErsFgENFoFNFoVD6bisEI5vV81mo1SSGdVphi4b9tNtsQx8zlcolxt1qtSKVSeOONNwAA77//Pg4ODlCr1eB2uzE+Po5IJCKpVA32GQmibG1t4e7du3jvvffw8OFD/ORP/iQ+//nPw+/3y/73+/2ytzqdjihis560jlpxzfhdgy0dAT8pgqCzBMZ0GN9f79eTnAvNDaNDx2i78XPNiMUySKfRY2fURaf8yWvkc1BBkl8MQKK/VL4ER1w7nYo1RrHoeHIO6WzpOeQ8mR0jDTdwTHXRulSDWM45OZX6M/l8BGXUj1wrUmWazSa2t7exu7uLRqOBcDiMQCCAcDgMYAA0+bccn5HLaVYKhQJCoZA4t7VaTTip2mHSoJNOBXWOBq/U+yc5bgCGIrUadPD/3KeMzjGSfnh4CJ/Ph4WFBdy4cePU49NATQNoI3jVALbVaiGXy2FzcxOVSmUoOGOMkhK0UhdaLBZxvqi/QqEQksmkAB2OlbUaGhjzecyI1Tqg5E1OTmJyclI45DabDaFQSNaSTgK5mf1+X3TozMwMEomE8PtjsdgQV5X2hv8PBAJSS5PP55HNZrG7uwu32y2pdAaoQqHQkI0+S+RVp6mNmaSnZUj5XWeutBhtLPcBdSTtqN77fD8Aovu4x7QeMruG1KUE9hyLTunz3zw/1Is8t4VCAYVCAdVqVSLus7Oz+MY3vgGn04lEIiFZMgDY29uTNQ2Hw1JHQ72n56dSqaBQKEhG5DRUQdPaSBd0UFEYU0B8XSgUQrvdRq1Ww/7+PvL5PPb393FwcIBsNis/K5fLQ+R8ggR6/NFoFNvb24hGo8JtIcCkN08Pvt1uy/sBeGJDPUvq9bossN5cPBQ6hE8jbeSjcW40FxQYjswao1f8WyodKiIaUP5eK0E932bX0GiMNUDRIJJOCg0YwVYymZSUAD1uKjDOi6aBEOiVy2UpntHReh1JoAErFArY398XIHlaoaEEhikc2tlgZIcRf0a3yOGKxWKYnp7GpUuXJKLHueMXn7XdbqNUKmF1dRVLS0soFAp477330O/3UavVcPnyZQEK9Ki5B3TUyIwYU5BGwKpfx98Z+ccAhs6cdiqMDoYuMCNQYppZ89aNAJ/vcZZ9SsBKUKUj+zRQvV4PgUBAQDafhWPnnHAP6rPKiA8Vt5GTBuCJ82sErxwXIxdGqslHidfrHQLVnFMd9eVnEdwEg0F4PB55Vu2c1Ot1HBwcoFgsCnBgNK7T6WB/fx937tzB5uamgPt6vY6xsTG43W45A7VaTZwAOlsATNGvKNwjh4eHKBaLKJfLT+wZHRnkftU0K+o/njvtMGlgSB1N/asL6qgDSBHguuv0N8G/GTEGIYxARjtvnU4HlUoF2WwW29vbyOfzEmXT2UudNaG90ZlJ6lVmgPb394eyezwb1E08k9oZMjtGl8uFUCgkYL/f7wuFQxfb+v1+2Z8OhwOBQADj4+OYnp5GPB6Hz+eTiB4zsZw/zpfFYhlyQHkuAAhfNhaLIRwOC6+S666j1mYkGAzKv08K7HwUWDwpyqrBoN6n+nc6GEa8oB1GOm86WMjsIek+p5V6vS74RWePiJt0IIn7lTSQUqkkOI3OLffmtWvX8Nprrw3hLNoLneEh3ZP2PxwOSzS+2+3KPq5UKnC5XBLl/ygxDV6JyjX44sHSUQOGvLvdLvL5PG7fvo27d+9ia2sL9XpdDpTFYsHY2JikAaxWKxqNBur1ulTflUolLC0twWq1IplM4urVq5ibm5P310Iwtbu7OwRETysabGkeDaPBPFR89maziUKhIJw8pm+8Xu8Qj8PojXOT6lSZsUhNR2G1B0/RxtPsGGmI+dk07Fxj0jl0FNbn80kEfGpqCqlUSpwJHihGXvm8HBNJ9oVCYSjdw+4U2vmhp7e/v2+KlE7Re0LPD+ez2+2i0WhISu7x48d45513cO/ePVitVrz66qtIJBISafD5fKJAmWbWIJZKZW5uDhcvXpTK7bW1NdRqNezt7eELX/gC5ufn5Xm8Xq8oZ3rXZuSk1xvTWpzXp6W1NAA2RrJ0NJ1rSUPI7Ec2m0Wv10M0GpVuC3x/nRGhAjcrrIjnvGtFTsNHJ49nUkeAGEXgc7DokzQDt9st545j1MBD/0wbJwIE/o5ZomAwaAq8aueHFCqOWxsZXaBGYKApEAAknVcoFJDP54cKlSyWQSX+9vY2lpaWkMvlMDk5iW63i1KpBJ/Ph0gkIgCz1WohmUxiYmJiKOKqef6nFT5npVLBzs4OSqUSvF6vZMQYVdUgVlM8tGNBIE6gqR1v7WgbI7PaAeczEQQSOFosg441Dx48MDW+kzISusKa38nj3drawsrKisz7xMQEkskk/H7/E86nHoOOxPNs1ut17OzsYHNzE3t7ezI28hu5v3R9ylnsRbfbfQJMAgO9dXBwgO3t7aECqmg0KnzHYDCIYDAoINOYBj8posn0NT/DbrfLe01NTWFubg5jY2NDoF/bSSOQPI2woEmLcb5Ok2XRjkqz2RyKzur3oa7id+o1fW51BycdgCEVzoxUKhXReZoipak0FAYNGo0G9vf3sb29jWKxOFT3wi5TXE+d3QOOHScd/CiVSshms3A4HEgmk5ifn5fMPcE6MdRpMuamwSvbVdFjoFHrdgetSehZ9Xo9bG9vY21tDQ8fPsT9+/exsrKCarUKv9+PeDyORCIhC0Tlb7MNKtnIoSFRfGtrC3t7e6JcK5UK4vE4QqEQQqGQREI7nQ5KpRL29/fRbDaHlMJphMaekV+dEtI8K6ZGGCankfH7/dIO5LTeEd9Lb3aCWu3NawV0VuDKzyNw1RwzggSHwyGFMuVyWeaWqalYLCbpdKYiNFjXkTfSRIrFIgqFglQ4Z7NZ1Go1UWha+VDhMtoXCoVMGU5jGtJisQx5+fxdLpfDgwcP8O677+LBgwewWCy4cuUKLl++jEgkIoeS+6lcLg9xyQBISnZqagqzs7OYnJzE4uIi1tbWcPfuXWxsbKDRaIjxnJubk8gDI8CcdzNykoI+iQpgdHiM3FY6Zlq5GtOs2oDqtWEalwU9PC8nRZ7MZkA4t3Qiw+EwXC4XgsHgEHg1RvEASMSg3W7LPPP8UlmSysH51xFonV41ctoIIIPBoBQx0Tj7/X7cvn371OPjPBaLRdFXjARqfcpKaBoC6gmdptWROkai+HycI5/Ph0QiAZ/PJ4UVjARyrxAMsNiNc80OLGaF+4R0gVqthn6/L8CDn0sAS8Oq9Zumh9Hx1DQx6l/NqyXgPSlLwvXle/L5ut2u0KFOKwzecI9r55E/63aP27k9evQI2WxWONozMzOIRqMCUPT7ngSeNNBjwKTb7WJ7exvZbFb2bTweh9frHZpbnZ0xIzzPnCeLxQKv14tmsym2ul6vw+/3I5FI4NKlS5iamkI0GhUnXa+D0Rk0Zo90txur1Qqfz4fJyUk4HA5MTExgYmICgUDgCSfhLPuTsru7O/T/k0DrSc+sgxha51Hn6poYrXv13tYtpHQHJp1B0o71SRSFZwm55zxf2mmmo8/5ZIZgf38fW1tb0gUiEokgGAwiFotJoJH6k5ksY4CBNq5YLGJ7exvlchmlUkkyHA6HQ85Ap9OR1panKZo0DV7Jw9Ber06jsRp9e3sbb7/9Nt5//30Ui0UZPCsMqUS5oDp60u/3MTExIYi9XC5jd3cXKysr2N7ext7eHnK5HBKJBC5cuID5+XnxDKmkaOh8Pp+paEgulxOwRmBGT5Chb25iFuEQrJKQrqNqpxGmszgHbIVBUKk7AmjFeFYhaNUtVnQqjgaH3hY37cTEhHCMtGFjdEunP2kE3W63bGqCUPZfpdFkdTidHgDSUoVK2ExExOPxSHEPU8nsjqBB9fLyMv70T/8Uy8vLiEQiuHr1KhYXF+U5Dw4OsLOzg7W1NaytraFUKkkEkFF3i8WCmZkZvP7661hYWEAgEEAkEhnaA3t7e7h586YAi0QiIVkDKhHyDE8rJylUrcC5X/gZ/Bm/qACNUTwCIUYPdBEPswIEAD6fT3RBo9EYihwYMwRnSeXxWbxer6SvSTfR/EKur85cMHPA/cd2ZMYOD3qMxtSsMULNiAjbMXGPhsNhAcVmhE743t4etra2ZJ50Jw+OH4A4uIz6AhAwyGgmCyqpv2g8OJbp6WnhnJbLZQkQeDwehMNhTExMwGKxwO12yzqTvnUWLuHh4aEAM6/XKy2qWLVOfW/kVev9zT3KLIBOswKQs0NnhsaYmSCbzSb0Nd1lgIENFoJFIhG88cYb+LM/+7NTj4/vrekB1M08U9VqFevr61haWhLgOjk5iVQqJf3CNUeZf6vfRwv3pM1mQywWkzlZX1+XCCwwqDDnvjwpA3NaoR5jn2M+k81mk33j8XgwNjaGCxcu4OLFi0P2XQNnYzqd49SOtMVy3EaTZ4BAiPQZI9WE4zorgP3BD37wRHZIOyMnvS9pKszIcq51hwAjnYF6S+sZXQtzeHgowJWOqebHMsNiBtMAGGoDSQePASqj887uJjs7OyiXy3JWSPfj+9GZYR9irhszUZom5/F4pANPuVxGuVzG6uqqdP+JRqNIJBICnD+RbgMM55L7wGIaPmSz2UQul8OtW7fw7rvvYmNjA36/H7Ozs5iZmZFWQlarFblcDtvb2xJ14ALT808kEojH40gmk1hYWMCVK1ewtLSEDz74AKurq1hbW5PUDyfM5/MJ4GEEwsxCb25uysImEgmMj48Lj4eUBl1A5Pf7EYlEEA6HxbACxzwdXTmrgQQjQazi11FLnf6iUqeyMHpuZ5GTDruOZPDZtfGMx+OYmJiQaCsPGvnFmlhO0Orz+WQD8wCQFwVgyJPX1aJUZOFwWHh+ZsBrOByWSkgAElFhKo2trj744AM8fvwYbrcbb7zxBj73uc/B4XAImFhfX8fGxgY2NjaGjIJRisUims0mNjY2EA6HpX/h1atX4XQ6cePGDWxsbODWrVtIJBKYmJiQ9K9WaGbX0BjlMabfjIqX37XTqSPv3J9UyuQqMWIOYKgfIfevMU3LfQQcd+owc1GIHiMdO36WLq7S4BU45jrTqHIPMeVIh0LTAjS9hSBGd0DhFyMf3KeMTDLiSmfBjFSrVWxubkrhDvlfNGzFYhHValWiT3SkA4GArBHHT4CvaxIobIszNTUl2aJsNovl5WVxlEn7YmSbURVNkzkLeOUzOp2DBvUE7Lq7iNZnfH6dAiYVhCCR4EADM91/nC3IgsGgvB8dLFLWGOigw+J2u5FIJM5UHKpBD8EZHbhSqSTAdWdnB263G9PT07hw4YJU8ddqNcnMaPoUxXiu+Tmc30QiIQ4Agzs81+w9rXm+ZqN2pGtQX/HcOJ1OjI+PIxAIoNfrSQaKNpNnFTjOwNXrddHNnHsAcrYIBHlWGSCx2+1yLur1+lAbLp1tOquc1N9XR4mNkXBN6aFzFwqFEIvFJOKsnXmta/T7E8BrnMBz4ff7EYvFhrJ87XYbBwcHWF9fNzU+0gb0hR0MUhEkcw9Vq1UcHByg0WgI/5RByXa7jd3dXcmMs9ieDjEDNKFQCJFIBGNjYzIn/H+pVMLm5iZyuZzwv/lcHo9H2sM9S0yDV/bIZNqVt2/QmGWzWdy8eRPvvfceCoUCJicncenSJVy8eFEuAOh2u9jc3MSdO3dw69YtPHjwAKVSaSidGY1Gce3aNVy/fh2XLl1CMpnE+Pi49HGMRCJYWVlBPp/HgwcP4HQ6MT8/j0gkgl6vh0qlIotkRra2trC1tYVoNIrFxUXx9mj8qHztdrtwewKBgHiEwCAia1xYGkU+D5VvKBTC2NiY9KWkomGkSFcA68i09qTNCpUBjYD29oFjTo7f78fExATm5uYQj8fh9/sl4sjbbPb29nBwcCCtOxjxIVhlZWk0GpWIrd1ul0OZy+UEBAMQw2yxWIb6dZoRFhQAEPBhsVgk0rK9vY3vfe97uHnzJlwuF1577TVcu3YNDocDa2truHXrFlZXV5HL5SQl9lHSbDbx+PFjrK6uwuPx4NKlSzg8PMTnP/95LCwsCEjf3d0VAMvUre7MYEZYdW0Ep9wb+j11cQ+jk1xDUjpYjEPAQM+ZzaiLxaI4lQRKzGzQwGieIikvdPrM3JBG4bNwLBwzQZQ2WgQ43Lc8rwSXBMBGsMT3YcqcPFhGb1l0wGdheo9nhJEKPq8ZKZVK2NraQqFQEINNw16v17G0tITbt2+jVqthdnYWr7zyCi5cuCDngYaCDrCeFwr1hG5zx0puAtlisSgRahbZMNrLfcHiHLMSjUbFOSBAIxeZRpnRZmZoqON0Ro9zTOBJkKOpNywSqVQqAtR0oQsjyvxbRrI4Nw6HA8vLy6bGZ+Q/A8ec+1qthvX1ddy7d0+A69zcHC5duiQRU1IgNAjTZ/dpaXHtmDocDsTjcQCQCOzu7q4ATAZHOKdmu0bodn4E53oO9b7RQRx+TqPREKBycHAgFw1oDi8xRCAQQCwWQzwel1aXtMHM/tCh05HYk2gWZuSkvzOCTS20Kbr4imeQxbmk+Ojsmo6katqlvpCC7dAikQj6/b44zAwCbGxs4OHDh4hGo6ceH0EqixiNnHGeUfZvrdfr8Hg8QzfYlctlZLNZbG5uYmtrC/v7+2I7uJ46Gs1MzqVLl7CwsCAXTbDFGh2/jY0NWCwWuQWTZ/pZYhq8aqDKxQEg6eDHjx/j1q1b2NzcxPT0NF5//XXMz88jFAqh0+lgdXUVDx48wNLSEpaWlvDw4cOn3oaxtraG5eVlzM3NYX5+XprAX716VQznhx9+KOHnWCyGyclJBAIBSWGbFabR6vU64vG4bCxWKXMzkvcWDoeliI1zsLu7K/zcWq02FNHp94970ZKcnMvlpOiFaXmCQCo4PgeBiE6xmBVNmjemkZneSyQSmJ2dxYULFzA9PQ2/3y8dAIrFovTd293dRT6fR6PRkLHp6Bw5geTJksjPqBUAUWia50dlfpYxlstlUSoAhnjZrVYLq6ur+OEPf4jt7W185Stfwauvvgqfz4eVlRX84Ac/wI0bN57gQPFQ0TvV0uv1BHzTYaGhX1hYwMzMDCqVCj744APcvn0bgUBAisE452ZoJgCGjDmfjc+nu29wnwAQjhN5x8wiMHKso5lU5lrpsfUOlY7+4t/p99DRkLMYlZPmnMCGv2dqkdEuKlydiaGuYqRB83j5Hppnxs/jDU+aGsWzqw1Po9EYes1phb2HeRZ5aw451rdu3cJ7772HdruNL37xi5idnZUrI9l1gNXfjJjopvYsxLDb7QJY+fzBYBCzs7PodrvI5XICBMhXY1tCOtCM5JkVu90+1BeSFAdGwDXX1VhMQvDDyCp5rMzqMFJpBHYEaXQaSfGgztUZMp2iJi3MjHD/6D3P4AlvINra2oLD4ZCIazQaPdFA87k1TUX/7iT6AMEfAwLc5yzi4jONj4/LnJuNUBKgkipE55Zny+E4vsCH+5FRumKxiL29PWnRxiyOLiLjWOiMsSUTL3thYS9vbuz1elI9zz2t58JsIICfb5SP0lk6Gmu1WiVTHI1GYbUOrpXnTWHUneSGkntPh4k6hk4raytIIWCAwGazYX9/H48ePcLy8rIp8MqMCsfFeaLtYdaiVCqhVqtJnYHf75do6/r6Oh49eoTV1VXs7OyI3T9J+L5jY2Ny5e+rr74qAUa2n2TnKepBh8Mh9SXPEtPgVVd60isAIE3bHzx4gEqlglgshitXrgiHsFKpYHV1Fe+++y7eeecdrKysCN/iabK9vY1cLocPPvgAMzMz+NKXvoSvfOUrWFhYwNTUFPr9PkqlEt5//31J79I7KZfLQ97faaXX6wnY0p5ftVoVojF5PrrhfrPZFFLy5uYm9vf35epFGjl6a8BxFIwKlpX4rIZmqwhudG5wHgB9s8tZhMCCAEFTFcbGxsRbmpiYEJ5LpVKRVHo+n5eDyWcicKI3x6gCK2LZMmVychJjY2MSNaIRYoRa81+ZBjQj29vbQyCfipFAbXV1Ffl8Xppih8NhFAoF3LlzB3fu3HkCuHJfAKcDYdVqFT/60Y9k3V955RVcu3YN2WwW77zzDt5//318+ctfxmuvvSZA0CwnlI4QAaq+SOGkIhY6miycYYpKUzaA4dZYjACwWErzH8nr1bxRzjNTlHpvmuWDAsP9E/msxi/93ASvjA7TsHEv6rFro8/UH7+MqXc6QtphAI6vUWbRg1lwx3S+3W5HpVIRntnW1hZWV1fx6NEjKcqJRCLSAYOpYOC4R2KpVMLBwYG0yiqXy6hWq2g2m3C5XIjFYqLTEokExsbGBETF43HRw6RnGAH+WQABADHivOKUziztBq8Z19XX/CxmFowFMDT6ukUT9bxuq8TnJkBm0IU/19FNOkepVAo3b940NUZGdimHh4fS2WFrawsulwuzs7NYWFhAIpEQGgOBM/+tObNPA696TYx0AnJgeS5WV1exubkpZ5rdYc7CP9d8ctL0WEjIaBtpLTzrpVIJy8vLePz4sdzOxSJcijFLwMwDC3sqlQqmp6cRi8WkdZvOTtARIrg+K3g9C20LGKxDIBBAKpWSW+x2dnakA4POumr6kaYaMDvF93S73cIl3d/fl6xlp9PB7u7uM2lsJ8nk5KQ4ieRpA8c0MLarIiWDEVJgEJBZXl7GnTt38ODBA+RyOaHmaNFOJB3Cer2O1dXVIX4tr5ENBoOi94iBOp0OVlZWThUIMA1eGY0gUmaD60KhgPv37+PRo0ewWCy4ePGiRFxLpRI+/PBD3LhxA++88w5u3749pIyoLI1pEd1iaXd3V0LqjUYDr776KiYnJ3Ht2jXpHXv37l2hMTgcDgFIZsTj8UjEcXJyUqpsGbWiMWfPOgBy2LLZLLLZrPCqyAfUZGwqSc4hDT2jN5wXpvdYJQxAInoEIxoMmxEdldaRJ6YfJycncfHiRczMzAifqVqtYmtrC8vLy9jc3BRgzrGcBCY0KObBq9frqFQqmJmZQSqVEvDK6tVqtYpyuSyUj/39fdMHlWCXytLr9SISiaBYLIrn6PF4MHd0y0u32xVe2v7+vvCmefNQLpdDsVjE4eGhpKXZ+sVqtaJcLmN/f19So+xp+/DhQylimJiYQCqVQr/fF3Cyt7eHSCQic2VGdLpHFz1yDXQlrr6dh5kDprKoVOiEMDLL6ArTgBwrI1der1ecKqbNdBpYRyaNafrTiqYR6fc2cnn5Wp4V8lEZESdo5RiN/F5G/WiQWXyhHQKCREYgGdnTbf3Okla3Wq2yx9bX14XLv7W1hU6nA7/fj9deew1f/vKXcfXqVYyPj0uFOZ10gt61tTVsbm7i4OBAdE2/3xe6x9jYmKTxLl++jImJCcTjcQQCgaHm4lwvRpOZUjyLrjk4OJALaLSjwDZoLPQgjYprbORPcxzUfcxq6ZoH7ezoDhS6GEjrJ12cyOzCafpLauGccL/XajVsbW3h0aNH2NnZgc1mw+zsLK5evYrJyUnhLer15/vofW6MSvJzaDc0eOJnMypNMNTtdrG2tibN4hlVN9s+ks6p1h0EsjqLx+8suiEFr1AooN1uC4WBY6JTaCz67vf70jqOlDlSIJjN498dHh4KaNa0hk9DnM7BNfRTU1NIJpNwOp04ODjAw4cPsbGxgWq1OuT0atEOJou99fnQmIAOMiPZzO6ZkWAwOFQgBwzradredrstNTx2u106PREwsyMKe0NbLBZ5vlarBYfDgUgkglQqhXg8DpfLhVqthlwuh42NDdG3Pp9PAoA+nw/tdhvb29vyHCe1LjOKafDKA88HoKe8s7ODjY0N7O7uYnZ2VpoSt1otPHr0CO+++y7effddLC8vD3lGH9WvzOhBLS8vD3knV69exaVLl1CpVPDnf/7nWFpawvLystyHzAUyIz6fD4uLi5ifn5dDQq4d03RM8TudTomcsnCJhl1vEC4w0yFMn/GO+1AoBKvVKrSD1dVVHB4eSlcG3e1Ap3XPksYDMBR1YySCRR+8zYydBWw2m3QG2N7elmpTbm4CNUY7qIRZaEVOcLPZFM4TDZnP5xOvnURu9i5kNHdnZ0eu7jut8A5ntiAKh8Ow2Wwol8u4desW1tfXEYvF8Morr0iRxtbWFnZ3d9FqtTAzM4MvfvGLWFxcRKvVwv3793H79m3s7u7C6/XiwoULWFxcxNzcHOx2O+7fv4+33noLGxsbUjlKhUBiOy91SCaTKJfL2NzcxOPHj7GwsCDOiRnRBo0Km4R5nXHQ0X2mzLkHWDC5t7eHUqmEarWKfD6PQqEAm82GRCKBVCo11BCcnGcS6jXoM2Y5dI/WszS419QDvrcRuBq5qOSd9ft94XMy6qcpDhQCbII1RnX6/b5w0Elv6Xa7yGazkvrU/ZF1tbyZ8bGP4t7enjhq2WwWnU4H4XAY169fx5tvvokvfelLuHjxInw+n+yrg4MD7O3tSWbj8ePH2NrakvoBGnWbzYZisYiDgwMUCgV0Oh0BMixupdPFtDXHogs4zwJemU0iLYEFnEZwpkGZBnGkSzGq3u12pb0Xs2vxeFyArS6wY7RV9wLVYJEAip0ImDI1K4z8sg7kwYMHWF1dhc1mw8zMDBYXFzE+Pi6pdOM+4bwSUBt/x3k6KSJr5LfzeywWw+XLl2G1WrG6uopsNit0GrMAnSAKOO48QPDE4iQGIVjHsLKyIno7lUoN8e75nLR3BE06nU4AW6vVsLm5Kc5NLBYbykbS/tCWnZXzalZYyMRCdJfLhe3tbWxvb+Pg4ACdTkcoAU8TzgF1G7M+mppEJ1xTB89CUSJ20HtJZ6W49xl0c7kGt86xj2+tVpNsjc/nkw5LvV5Peprn83n4fD5cvXoVr7/+unC76/U6bt26hR/84K7BweUAACAASURBVAfY3d2VoA4LtKLRKPb29rCxsQGbzYZoNIqJiQm8/fbbHzkm0+CVCoD8KItl0AeTyrTf72N8fBxTU1NwOp3SR/P73/8+Hj9+PNT8XxOFn/qA6rWdTgePHz+WVKfD4cDly5dx/fp17O7uYmlpCcVicciLMZuu9Pl8GB8fx/j4+NCzcaLZj5ZpOy7w4eEhwuGw8Bh1OstiscitNYwisLqVlZlWq1Vumcjn89jd3R3qJ0mv1Wi0z0ob4EbWUYpwOIzp6WnMzMwIJ6XT6Uh1cq1WQywWw4ULFySVfHh4iN3dXWxubiKfz6Pb7cLv92N8fBzJZFIaZlPBEExtb2+L5xaLxRAMBoV6wVRLr9cTwGtGGMknkKMBPzg4wNLSEvb29nDt2jXMzs7C5XJhY2NDjD4NAaOsyWRSIsD0SlOpFEKhkDTgLhaLTwBQps+LxSK2trYEvL7yyitYWVlBNpvFgwcPMD4+jrGxMdPrqM+FkeulCxgIanWU/PDwEHt7e1heXsb9+/fFKalUKvJlsVgQiUSEp8yuH7Ozs0ilUlLgxAg0C270/iLo0dx4M6IpNnxvzdfjz3nGGS0FILe56X6CwHEkj/tD84UJmlgUQgDL9lgs3GOqS3NdGZ0y4yx3Oh3s7e1hbW0NuVxOCgSZmp2ensb169dx/fp1zM3NSZaL7bV2d3cl20NQqp0IGnQ6F0wFkkKzv78vKULdOkxXy3MtjaD/tLK9vS2OrJ5n3YtVF5OVSiXR76Sq6CLXfr+ParWK3d1dFIvFoW4G1I/a6eH5111gtAGnftvf38fu7q7pG7Y4V9yXrKQul8tYWFjA4uIiEokEms2mOInAwPkPBoPo9/sC4HSBEAteqYN58xlw3OGGxYW8/YiZPAZYEomE1CnkcjmpVzDrLGt+qdPplP3OaCjPCDsC5HI5rK2todFoCE2MgQ5NkSLNjgEeVutHIhFYLBaxg6x+5+ewZoJBGLaP4976pAEsqQK8yMPn86FQKAg9wul0YnZ2VuaO1BlG3Am+NY6gE0W6l3bGAQzxZrU+P63k83mZH52V0NnOTqcjHR46nQ7y+bzYBr/fj4WFBcRiMXkN7T9b4PV6PYyPj+P69euYn58XziyvhG80Grh79y6y2SwePnwIv9+Pubk5hEIhuUmT3OFkMvnMMZ0p8sooJB+IadN2u41oNIqLFy9iYmIC1WoVd+/exbvvvot79+4BODZIp40aEjxqT/z+/ftwuVyIx+NyVdzc3JwoCaYWqCzNCIEkF5iRNJ0G1y1jeMCcTicmJyeRSCSkHx4J7vRk2K7CarVKM+dIJCJjTCQS8Pv9wv9k1IjKlxFdfROPWU4vAKmW1oU2VP6pVEpufCF1g5w6Ntlnup8AikD73r17aDQaiEajuHLlCuLxuHh1jEpPTk5ib28Pe3t76PV6kqInRwaApDypmDlvZsc4Pj6OcDgshH++H+8xZxSLWQMCbN4oUiqV8GM/9mOSZWDkFADu3LmD1dVVTE1NicfKiCvT3Y1GQzhKly5dwszMDD73uc8JaFlZWcFrr70mBsGMcA9qvulJfDmjt01jtrq6ig8//BD379/H/v4+qtXqEIcQAHZ2dlAoFBAMBhGNRjE1NSVpWvKZWHkcCoWGPpfnlZmLs4jREBkjrrpYhmllRrfI9+S5IQ2F1AhmU1hkotva6DSd1WoVI0OQxbXVqTtGYPU1k88SVhjzXm+CE0aZwuEwUqmUcBUZ9aa+5TWwPp9PWtGwgp69lLvdLsbHx3Hp0iVMT09L/1aCtnw+L5XiukUWQRmzbOxOYFZyuZxwXOmUsjqffG3uf9K/aEcmJyclxc3sAqkuLGzRdBFmAUjpoH7SqXUafp5XHck1S08CIAVx3O/cX3a7XYIg/X4fa2trQhWyWq2Ynp4WgLO+vo7t7W3hg1qtVhm/3+9HuVyW62SBgZ1gPUK5XMa9e/ewvr4uZzMYDGJ+fh5zc3NCcWJ7MmYgzI6RjroOwJBbrnnuBJoHBwdyg9j8/LwUBvb7faEisfk9qXi05dT1tVoNyWQSKysr4lwwpa0pJASxtGtmC9LMCmk48XgcwWBQCpp2dnbQ7/eRSqUwNTUFYADQ+VykEfCCCp5XzcUnsKUzwGg2dRcLx82uISmPfE/N/WbmlEFJh8OBer0uWZ16vY7JyUlcvnwZ8XhcqH+sRyFNMhKJSIF3q9XCjRs35G9TqRSuXr2KZrOJpaUlrKysIJVKYXp6Wsas+3mfZg1NIx8qPoa2G42G3O6hwU2328WjR49w+/ZtrK2tyd8zFU85iQ9n5E7Sw7PZbKLgd3Z2sLKygr29PYTDYSSTSVy4cEE8F4bJzYK7QCAgXFuSwZluJTeTE1upVCR15/P5UKlU4Ha7pYWU1WpFKpUauo2C0RHeUNXr9ZDP59Hv9zE2NoZIJIKJiQlsb2+jWq1if39foiWcb21YzkK+1+CV9AFypVjUQSPH1jPtdltaVxGIA4O0UTKZlBTt3t4egsEgkskkXC4XHj9+jKWlJQDA1NQUQqGQXFXZbrcxMzMz1AaMY+TBYPTMDHjleBixDofDUrkJHLcYouIoFAoSEdH8t/fffx9zR1cRsjiR/MB79+7h8PAQr7zyikTESCOhgez3+0JdqNfrCAaD0o7nww8/xPLysijws4BXRtbIEdRFC7qoqNFoSEsTXtO5vb2NnZ0duU9aV3MTxBFg8O/dbrdQO0gH0JxDOrVcA6bACCzNigbkdAj0l44I0tkkP12nmhlpYmRU6xsdUeKccg9oSgAVLKv2mUHgGTwp5fssocEg6Ha5XGKYbTabpOcI/uh4bGxsSIcWOvCkInk8HjSbTWxtbQntYWZmBvPz85iYmIDdbkej0RjqTFCpVCR6TkCguy8wSnoW8Erjy8gSI0c0op1OR7qWLC0tia1YXFwEMEg5A8eRKab3q9WqREnpYJGCpW9f0ntEO+oMbjDSzfZdHzdqx8i17tjASm1erkO9224PboBjMXA2m5UivmAwKICPf8v91Wg0pFNNqVQSYEwgxVaOvFhCZyDPUszEM8QOFzx/tIcEr8ycsUcoz4quCyDoDQaD6HQ6UsA3OzsrFxPRKQsEAkL/031F2WLQqAd04OCTFDp0DCDQ9ulzpJ09dgihI+b3+wXA9/t92dfM7LAbhl43RphJVToLRYk0BQbkiMUYtGDdi8ViQaVSka5JpKO5XC40Gg3pdsD6I3YKisfjEpnd2dnBW2+9hfX1dczPz+OnfuqnMDc3h6mpKTx48EBoUryZjeeFztFpAh5nAq8cqNU6aAmxsbEhCmR2dhaBQADb29u4ceMG7ty5I1XLXAh6ANrAav4TI6Y0gLoohRG0druNbDaLra0tiUxMTU0hm81KKn9sbOxUxF8toVBIIiJ8Dh54Hjqr1SpRC0ZH2V6C6edSqSTtRAjYcrkcarUaAoGAAED2Tev3+5iamkIqlUIkEpHU4MHBgXjgwHABw1kMJuefa0nQRP4tOWl2ux3lchkHBwdD6fSDgwNJswPA/Py80AxSqRQ6nY40tS6VSnj48CFu3LghkVrdoUEbIgIIn88nrXV0ZbgZ4aGngeTzMDLTarUESLZaLaEonPQ+jJTrixhIK+AB022qgOFrDjnPBCpsNZPNZmGxWETRm11Hnh+CTc2F1gaYaTwWEjIrwK4hml+leW2aJ6h/BhxzppkmzOfzwgcneCWYZvujsxgUXQ2uo646akYAwz3Ls8uIDsEsHT46bjw/HJ8G78Bx83kqUjo8PB/UC/wMKnczQvoQOeHMujCFFwwGJXLGm2nW19dx9+5d7O3tIZVKSXqYldnk+vb7fcRiMczMzGBqagput1v6Y9JJJce5XC4jEokI5YBj0wUdrEQ2K+Pj4wCOzxL3GiPd5Ii+/fbb0qKOFfOavgRACj/Id+V+Zc/pQqEw1GWCkUxNqSHooJFkn2PqLbOdTYxgidFd6p9GoyFOIoMZjCDv7e1JdBY4bvGXTCaxuLiIQCAgFKN+v4+5uTn0+33psTk7OyvAx+Fw4MKFC3C73VhbW5M50pQko244rbDHN+0f6Rt0SmmrW63WUIqcQHRtbQ07OztYX18XnRAOh2VP2Ww2oZU8evRIsrTXrl3D4uKidBogpYngnTr349jCjyMEfnQCqStKpZKsfbPZFIognWw60wR/ugC00+kgEAiIvTJyuc9ajEbnl9ky7XTr/rN04BhBJw2C3WcODw9x//59fPjhh8L7pz0l95xzwOtlHQ4HcrkcZmdnBQPyzOrMMnXuaXtKmwavOiLDyBLBK3mODsfgetgPP/wQS0tLUqzxUZ67PmAnFT8YaQa8ueThw4eYmZlBPB6XFjD0VAkSzQgb6euiAc0lIhBiKp0Ai18cp96k9Xr9iWIJYEA5YGUxNxObqjscDjQaDeGlUHQ15VkPrF4/GvlAICDXvzEC1Ww2hS/FNmHk5pEqoK8HpMdJh4McXvJbZ2ZmMDExITxFNmUm0Gd6kj0QWWlqFvjQ2FEhcF1oUGg4CYD0XtOZgGQyienpafl8RqtYYNbr9YQvqL1FY8qDa0aAybYkvAbvLBEtHXHXwFlXUQPHV5CSx6rTp8Dx3dt0iHTFKwGjBjT6ik2maNmCjEZYO1ia52hWeDWyTnGRo0o9xCieMeXPKnammLvdrjho/LmeO3K2CLBcLpcodd1SjGnZaDQ6tKbAIGJihp9tnBdGuLxer2RxdLSX2ab79++jVqtJIRmj4/v7+3KmKpUKpqampM3QwcEBdnd3YbFYpDqae58pQAqBSLValWJNRknOsoYE4AwmsNsAsyurq6u4efMmfvjDHwLAUBs2GlojB4+Rf/JnuQdDodBQ9TntCY0zABnX9vY2VldXpVATGKR5zYjOdujP479ZOFqr1eT2PX1FJot+XC4X1tfXhVJw8eJF9Ho9LC8vSxeE+fl5dDodZLNZ6eBAYB4Oh3HlyhW4XC6hRtGJ01zas4BXgg4CWDqJdMi5h7lnuJfq9TrW1tawsbGBXC6HSqUitx+yTzijlXQ2tra28OGHH8JisSAcDmNubu7Edk68PY3UIp29+qQjrwwYUG8yE8WgBnm6bNZP5xOA2MhisSiXAejLh/S68XN4TvW+OovofvXUb4zkUj/y8+jUlctl6QZAWgFpK+zAtLe3J89EfakxCguGtZ1j0SnPAG2MsQD8o8Q0eCWJnr3VSHansiWPg4Uqp6kyJiXgpErMp0mv18PKygru3buHq1evyo0ckUgE6+vrKBQKUh1uRvx+v/CnNJDRRhM4ruLWt+twY5DXk0qlEAwGUa1Wsbe3JxuV7228mpHGmIqQnp2xiEAro7OAAh4AKj5d1KF7fhL45PN5oTYAEI4Luy6QI0N6AcEpoxxUMNpT53iZMovFYpI+4GeQd2g25cx2NDyUHBPnl5F7Xeyko6b8t91ul04F9D6bzSbC4TBisZhkIDRX7SRnQs+1Js0Dx31VzY5RgybgeB/o/co9RIcpEAig0+mgUChIBI6ZBPIOuRe4PsaWQ6QeEFgyesW10mMiuDA+62mFESUjeOUaEVjz+agoGWEGhlsZaceKAJ83D3FPaLCsi7H4XnRc5ubmEAwGhy4fCQaDpsArnUSCODpw5M0SyHJt8vm89FnmzwiOWJCju5JozhxvOQIg7dmYRmT0iELHc29vD5ubm9JuyWyqEgAePnyIxcVFTExMyM1DOjqjb10CBsGDV199VTqBcI7IH9/b25OsmAaMbFdIY8soMs85zx75iTdu3MB7770nGSTaskKhgNdff930ODWApdPHPca9y3RtNBqVegBeX1woFCSCz0CA7g7C9Dq7PjCyyfOuOyvw87Qu0ufPLPiZmpoaKoA2FvQZbSLHSfqKjijyinFmR9mrFcCQ/eMYOJ/Ub7qvOPcAv3S25ZMU3Vay3+9L5pUUANa7sCczC5a4b4GBfaOTkUgkJMrKIAgdZyOHV9cvmBEd5eXfM0vFjCIBJHUoiwT5c+7b8fFxoeHl83m5KIo0BAYtAAgY5efyvQj66/W67BcW9ZEi8cx1MDUDgJDtdf9Oels0fHa7fai5/Pj4OGZmZkTBcOOTR2q326X6lcVMsVhsiBxOId9sdXUV+/v72NzclINPYM0IWSKRMDs8aXLOCCCjLhrU8Pl1KlmDEqfTKR0XAoEAVldXpX0GI3V8HwIjbaC5gWk4jVFnHs6zVgBrEM7Dob/zPcmXZPSKm8zlciGZTOL69eu4cuUKnE4n1tbWpA0YX0PKRDgchsVikbQTvTwaHYJM7WkyksI1NyM68koP2OPxyFzSYTgpMqjnkz2GaRD4bADEGyVAJOWhVCqJcuf86t6kxog+lZRZ8Kr3Jd/PmFrXwrQ36QIOhwOzs7OYnZ0dUhTFYhGFQkEKEMkvIwigA6L3PaN3pVJJGt9r6o82smYkn88LONVOlQYK3DPaYDMVxv3Kvyd4pTHl2aOBpNHUkWgCcW1IeENaIBCQK7JZuGZWGM3lc/E+8Xg8LhQi6lxSiYrFIhKJBLxerzidkUhE9jEdQl2oRn1MWgFTlXTyNLcXGDiu2WwW9+7dw8OHD1EqlaS1lhl59OiRFOMwekcwrTNP/X4f09PTuHr1Kr7whS/gwoULEghhZJUdMQhSNDgjGM7lcpI9YjSeYID8y06ng4ODA6yurqJcLgvt7KRAwbOE4FlHxLQOdbvdctlNtVrF2toa2u02kskkwuEwEomE7Ddt6zSQ0zpEf5bOsLCHtdPplC4M2q4Y7ZcZYVtEprA1xUbTlWi7+BnUv41GAw6HA9FoFBcuXEAsFkMul5NMgX5G2g1N8dFzrbM6Rs6r/tknKTrCriOvnF/aBWZNqD+pBxl1JM0HGKZSGveUdtLOGnmlzqPDz6wGnXbgGBdoO0mQyloiFo2zDoVBp2AwKA6ukfLAZ+YYGdDQBYT8OfX5aWp5znQ9LB/GCOronRG9t1othEIhfPWrX8WXv/xlUYjaW7ZYLKjX67hz5w4ODg4QCoXw4z/+43jzzTelSbxWUgy5f+c738Ef/dEfCQ+DoKBWq0n0w+v1Ih6PY2Nj49Tj46HXEw8MH3jtaXJD8stutwsh2+PxiFLlHek8pBp4coMao4A8qPqwatHKwoxoDiKBD71m7fFp+ob26FktSS9a98nUAICFEXQE2PS+0+lI6lAX4mheNI2tXoPTilYEmr+sI4LA8X7lQeNaUOr1OjY2NuD1etHr9SSao40MlThTajoCCQy3c+L8aeCgWwaZEd2FQwNF/fwa2DLKxiipz+cTzmS/35eOGPfu3cO7774Lt9uNr33ta3j99ddlD9Po8950Y9qWhW+BQEDOo84gmJX9/f2hyCqBFfen8czwM43FXYyU6EJF7lPOoXYqtOg0GM+MroalATqLI8kIeCgUEv48r4qm80uaA+eQRtLj8WBsbAzxeBzRaBThcFiyDPl8HqtHF3Ew0kwaDlOvOorNSEez2RxybEulknAQO50OEomEafC6v7+Px48fIxaLYXp6GhMTE3Iu2Q90dXUVFosF165dwxtvvIFUKjWUStW3G+qoOXCsi7kH8/m8tBdkwRSNMSPrbAl49epVdDod4VXu7Ozg9u3bpsann4E6mhFBFiQlk0lpH0W+6sHBgbQT0rpHZ9SM+l4DM82ttVqtyOfzuHPnDlwuF8rlMqanp0VfaQDB9zYjPH+a209Aw3PxtL3Pc+V0OqXg1263I5/PY39/Xyh21M/aJmqMcZL9Pel3n4YwU8HuAUZ+JnUOcHwTot63BIXapmtQrnUn9bwRvJ4FwGp+MnDcqcYYXND7kMFJtnbMZrPY2dnB7u4u/H4/5ufnkUqlMDc3N3TrI7OuPOvMTtIW6ponPR5mEE4TCDDfZwnHhRTasOjoEl/T6/Xg9XoxNTWFxcVFSZsDEA/Y4XBIKxBgEPlcXFzE66+/DofDIU3xeWi8Xi9KpZJ4rBq5M+xerVYlGmFW2eo7h4HjwhM9Pu0ZaKDZ6/UkvePxeKSSl9wWgicaXH5pr0QrG76/5vbpIoqzVKkDx+lKYBiIa7DK59EFDsBxX8N2uy2V9ASBBKYUpsDIn2SUqdfrya0ijHLrg0VAxucyC3x4CxwwzCukEtUcUToqOmLA3xEsEKwQ6AKQdLE2EFp0RICf2+sNinEajYaAD13gZEa4b7RXrtNoHC/Hzr3C1CSLj9hNg+lqcr415YPKluuseypqZ4xtgmjAuU8JjMwKOxzwxitdYcz5ZQTVGEU3AlkCNM4R14t7i2fSeAaMkR2eC64rwflpK2S13L9/H91uV0A/bwfk+aTDSKeQ68b0OzliRk6v3W6XM6CLWhjp1wVsPMu8JYyUJl5isba2huXl5SHH0oysrKxIa7rLly9jcXFRghv7+/vY2dkRygR7CLMxO6NDzAYwMqwdJ71G3W5XUv/BYFDoL8BxmzgAUtzEs5tMJuF2u+VGoFu3bp16fDq4ob+4X5xOJxKJhPCF2cx9fX0dwIAmQV69MUqlAazxc/gznjWCd37ezMwMwuHwULDprE6WjorpyBjXxxg91NE10pOYgaO+4WUoBN8AhuyiEWDr4MZJkblPG8TqwBHXgfqSOlZHN4HjlLkOHBlbbxojo4xkGqOvZoXronUAdaIOxnDN9PzW63XhXlssg4tVstksfD4f3nzzTfzET/yE2HnOTbfbFVokOzHo2/R0ZsAYAGVt0TPHZHoWAEm3EYzoqByNCReArbSWlpakTY+ORLE/JCeu0+mgXC7j0aNH2NvbG6pQBCC8vbW1NRweHooSN/IsafTMFmxp7icPhObdUQhkaMgZFeC97x6PB6VSSRpTE2QbvRweWJvNNtSuhgdCKx/g+AAYOU0fR3Q4Hzjm9vGqTR5KepMsGmARBe8pTqVS4lECxx0MyLHTjg6J7DTEulkzo9e8x5qfe1phupnOEbMBBNPk1hDM6JQ0gWyv14Pf75e0CA069wPXgsCWt6yR2M7zYLFYpJVUo9GQ4sZ4PI7FxUXE43EBEGbXTDs2xogF11ErdEadEomENLd/+PChtLlLpVLSH7VWq+Htt9/Gj370I+TzeTSbTemxSABFIEElxMshuN8pRurPaYWUFX3VqTaiXCddqKEpMNrAss8h15k/Z5qY76G5icCw80OgwEio/lwdrTitPHz4UG7eYwqVvQ5Z6cv+uzbboJk/+WakqDx48ED2Tzgcxuzs7NBtR3pvaWefz8ooku5rSyeLvStJ3zEbCAAgzepnZmZQLBZF13W7XaEYscUOW/TRtrBiu1AoyB7k2TLyG7m2bCfm9/sRCAQwNjY2dFbYksjn82FhYUF0G4tjWXRoRk7KRGog63A4hAYXDoexsbGBnZ0d4RSzKT/3lTEFflL6GBiOQDLCe+XKFblcJBwOo1wuy7k5K3ilM2XMaBhBNAtuydfl2fL5fEIFtFgs0vaKUVd9fvg++qzprKbO5Okz92mDV2IS2jVtI7kexAbGyLfdPnxJgd/vl1oRIw1K6yKdaTIrDNIQuFIn0JHVkWGOh3axWq3KtdP8G17QwmAMaYC6mE3bbSMNhlQ+rqV2WnSQ6KPkTN0GCA4BDD0AeRIEDC6XC6VSCR988IFUwOZyOQExTqdTrg8lF7ZarcpVnKurq9jc3JSNwtSz0+kUKkA0GkUgEBDgS94tq1rNpkjoQZA/ywnlJuTG0eCOrZ263a403ff5fHLlaKVSGYqU0uMiCKISZ3RFb2L9f86/jqidZSPzoFMZcT21F0xjGQgEEAgEhqr+WdHMKlre78xiCCoaNvaPxWISpWRUhTfIjI2NIRwOiyLQRUPsWWlWKR0eHsr66QgGFYXVOuAFMuJDCkSxWITVapXempcvX0YgEJCUeC6Xg9vtllunvF4vxsbGkMvlZH9zb/CQ8rpdGpLl5WWpzL927Rri8biAKzNCL/ppKTujsaEXz1617ALx+PFj7O7uwmazYWNjAy6XS/Yzb1UrFouwWCxIpVK4du0arl27JhF0NtZmWyeLxSJAnvuARses6GIbY/SToFLvDe1UG3t3ktrCL03bYEQTgPBEdZGPLjrUvFojH9GskC/HbhA8/+VyWW5l48UZDodDLiNgdLtarWJlZQXlchn1eh2JRAK9Xk8q2mnoGb3ROoMZDd7upClNzWYT+Xwe2WxWGuPT2JgV9qxk5JP8R4KthYUF6R3NrgrU3Y1GQ7q0sEUSMJxS556gAWS7Js4VC8Sou7kvqH9sNpu8L0G/GTkJTGoaENPLtVpNrpZmP+hsNotisSi0JmOgQoM6OkrcuzrlDAyCOhcvXsSrr74q80gdYXy92b2qazT4/aSoMDnN7IVNjjV1ZigUQq1Ww97entBtqJ+MdQeMQLJADIAEPVhXY3RcP00ASz3AZwoGg0PPzK4XvV5PisysVqtE+1kITCBbLBafcML1Wut1PEsggME4Y1aJwTDqR2B4Hd1ut/DwyUUm/UhT4dhRgFm7RCKB+fl5sZnJZFL2fb8/KPinzWDBN4NN1OHPkjNxXqnMgYFyCofD0lye1Z5sjdLv97GysiLtTQjUgMFmDIfDCIfDUtxVqVTwox/9SBqiswqVXgBBX6vVQjQaxcLCAsbHxyX9xltuCCDNpro0WCTw0S0qaOwIpP1+PwqFgmzCWCwmhWLsY0qvSgMNVn/7fD5RvPowM0XCELpOrXDuuMHPsobGNBAA4aZwI/MZw+GwKCFeBcfuCXqTaw/KYrFIW42ZmRkcHh4iHo/D4/FISvP/b+/bYxvLr/M+Um/qyZdESqRE6jEazXs2me1Ot96t626bZuE0cV2gCPJy0AbFdRvEbYECgZO4MYKkaI3aCEoYTYI8mgRNUgdN0QY2HGzX3a5rd3dn17Mzs5JGb1Gi+ND7NRQlsn9Q39HhNTWjS82MRpr7AQvNSnzc372/33l+5xz2+2Okmv3dNPWA99wKeP94T1lcVFdXnEdNXmAymZQRdVeuXJFoU3NzMy5czEfS6AAAIABJREFUuIBwOCyzmGdnZ5FOpyX6yilyDocDiURCFCA9b6fTCbfbjYGBAQwODqKlpQWzs7OYnJzE6uoqIpEIenp60NjYWFKFelRoGouO0pudGXKPAciAC76G3TG4j1ZXV4UmsL29LQqIU+sosLTAobPK0Y28HvJE6XhamTxV7nnS+NDVrDwj5hQlZ27TSaLQ5mtpROVyuZL2VFQ8/DuNHF28ySJNnkNz2toKwuEwlpaWJDpKB4atnOgA6ExSW1ubVCmXM3LopLFLAZUTjTVmAgBIr2r22uTv2f+VI3ABIBKJoKury/Kzu3TpkhgvtbW1kvFobW3FhQsXpNgzm83C4/GIY+hwOKQHNvtM837zjJmpHPo+cEIhx3kzS1BVVSV6QXfUYEP/RCJheY2EOa3LjEw8Hsfi4iLcbrcEAvh38/vM0VXubRaPsjuEmbpGB5Kp+XLRUf2ZVteljUIam/x+nnPyWltaWoTuVygUZJSqy+WS4SiMdFO/Agc0M/Z85ZnkteuAEbNnDAbxuo5jvB4WCDBDB2+4XgDyXDhAolAoSNZgY2NDHDQabcFgEAAkkMKJgNTHWtZVEjHXYLEx9wozkblcTnomUzfQ+ObY9u3tbQSDQQwODqKhoUEmUpKaWVNzMOyHz6WzsxM/8AM/IFmFaDSKQqHYWpXt8zwejziQ1PukpT0R45Ubl+Ac+9nZWWnEz9m0AwMDuH//vkyhKgfO/qUwyufz0sBdb6adnR1J6VKp+Hw+RKNRtLe3SysZCkFGu6xGfGgkawPS6XTKzaXxzdQ2IzUcFxcKhcQ4Yv/EQqFQ0gqLXkZLSwsikYjc00AggKqqKqyvr2Nra0s2EQcUAKWN260KIUIbyDR4NjY2UFVVhZWVlZKhAR6PBx6PB7lcTvjL1dXVkvbxeDwIBoNScU4eDVN3HR0duH79OnZ2doSDxUgPe8Rq54fTnJaWlsTDs0ob0Kk3Cv7d3V2JfKRSKSkW8Xq98Pl8GBwcxNzcnBzknZ0d2bfj4+NYXFzEzs4OksmkGGPMNiSTSanG5J6tq6tDV1cXBgYGEA6HAQBzc3OYnJyEw+FAMBhEJBKREbVWjVez4aK9dL0vmKokYZ5/ZxSarc5472mcseDS6XRKC7pQKCQjjAHIcAU6YTSWWKjIe87+wVahedA60saoKDm4XHs+nxcFxyp6HdVhVJHVweRlUZ5QUerP14Ve/ExtvOpom9UsSFdXFxwOh0TnNL+V30EZxOgwe0ay2jccDqOqqgpra2twuVwya53UD54djm7MZrPo6OhAY2OjDHShka8nXnFqYi6XK2lObxVut1tGnWoOJikQ3HfZbBbBYFA6tDDTkU6nsb29jaamJul8wWbrdCR1xwZG1PP5vBiv3Js8H5RtfG7cV+wGYAWarqMdd52p29jYwNzcHBKJBOrq6qRwkueP2Sid3gdKI43r6+sYHR2V9bGDAVPzzHCQksGoIP+mi3Stwmw0ae4pszp8Dm1tbbJH6TRRxlZVVQlFhpQBdiRYX19Hc3Mzuru7xVns7OyULADlDCOapI7wuzUlqBIjj1laZqjMNRA6kAUcFBQzS9vc3Cz9Wfl3ZqAWFxeF/sYC83w+LxPRksmkFG9yrzIrRF1ynLXxmVGeaMoj9ycDPLSzWltbEQwG4ff7pfYgEomgv78fDx48kFG4XV1dqK2txfz8PBYWFoRexqx6W1ubZDxmZmYwMTGBbDYLr9cLr9crMkd3KdCTxR4Gy8ar2QtrampCT08Ppqensbm5idnZWYTDYQQCAVy7dg0TExN49913D21Bwptn9nrM4XEqKG4eFryEw2F4PB7h1m5sbEjImn0CrYDpFr1peUD5gBna1hSD6upqdHV1obW1Faurq9LCS0dKAUij/5aWFoTDYYTDYeEPNjY2ykSWlZUVqeqn4jd79pUasDyIFJRs3bG3tye9+CiAaLgwpV5fXy+GFwBJ0SYSCTHwcrkcpqenhc82MDAgKdLFxUVkMpkSo4iCg1w7zlReXV2tSOhqY5DC3uEotuoaGhqSlPno6Cj8fr/0bY1Go6K47969K5xEks2JhYUFbG5uCtXBnFFgW5je3l6Z3cyq60wmg0gkgmg0KveQUQor0Kl0nT7T6TdGStm+igT6QqEAt9stxp1WKFpoUyHR+AiFQlItzO9jpJORVyptetPsh1jJPmWErByPlSkvrpMOBz33+vp6MTZ1VEsPMcjn80L1oDIFIGecXGVGPnRmQtMZeB6tGq/MqGgOKg0Q8uVorBcKBaEksQl6fX09enp6EAgEShxi0nfI/aYD2traKoYqnbp8Pi/0AkbdWUjFNCALLispultcXBSDg5x+RrG5LkaFOzs7ZZQzqQLspRwMBtHX14eGhga5PlIQ2N2Fz5wFXqS8kOIDHFRY6yg85c3k5CTeeecdS1MZqQ/NsplnkoZAXV0d0uk0NjY2kMsVR21zqA+vjc+FOqu6ulrGbzNrw9d1dXXJiFXuUR2tMkdygYMzbdUAMr+e55vOpW73x0wdaxZ4jnjWGIUkxS+fL45Hn5ubQygUQkdHB3p6eoSHvLCwIL1429vbpSWc+czoDEwlRcw8GzrrYrZB9Pnm9zC4Yu6SQ+ef2SnqIMqQra0tNDQ0CHVnb28PTU1N8Hq9qK2tla4wNTU1MrRDZxusgs+MWXPSBJubm+F2u8WJJEWAE0s7Ozsl+5HJZHDx4kUMDQ3hxRdflGzA7OwspqenEY/HJbK6urqKvr4+eL1e5PN5zM7OYmxsDJlMRsbH+3w+AJCgia5JOYostWy8UjlRALCKdGZmBu+//z6Gh4cRDocxODiIixcvSo/TkZEROZh8P70B8ybRqQ7+m7wpwuv1oq+vD5FIBE1NTZiampKxiaFQCL29vfD5fJY3Mi1/EsJ52HW0hTeWnrHX68XubrERPMcUxuNxaVysU9+FQgFLS0ti8Pp8PlEcGxsbWFhYQCqVAlA8rJ2dnTIDmVMqmEqoRBABECWt16hTbaurqzLyrampCW63W5TB0tIS6uvr4fV6ZcISU/BMc+7t7SGTycj3eDwe7O3tIZVKYX5+Hpubm+J4sIEzoxHLy8vCc9MGhRUwUkWDhr1eOzo60NzcjOnpaXz729+WBuyRSAQejwd9fX0yVWRqaur7PpfC/2HV8xzU0dfXhwsXLiAUCslIvampKTQ2NmJoaAjnzp1DIBCQ1L1Vw4fCW3OpNWdJ89yYmtnY2JBiAHr5Pp8Py8vLSCQSmJ+fx9ramkRf8/lie7BAICDChlwtvp/Tk+j0af6njs5Uws1msaDOFOjrNzsoOivCqmYaqzRkyT9jVIN8RHYI0R0yyK/n+ed72STdzMe1KmsY/dZUBf6OkX1Sj8gFDQQCyGQyMnKbqUqv1yufkUqlhObCzwAAn88Hp9Mp53VychJ7e3vikLBXL8dYs58zueuc6GUFq6urMlxAc2s5YphUD7ZRqqmpQSaTEWoE+YS9vb3o7++XyvXGxkZR7ozI0ZGm0c77tLy8LNEcRiYpRxOJhEz3Gh0dxezsLF5//fUjr4/RLO47fgflmdPpFO5yVVUV0uk08vk8/H4/uru74fV6ZQ3d3d1SeMf97vV60d/fj+rqaulG0dHRIXpvZ2cHkUhEHBdGIhmJ3d3dFfode4xbdSTN3FaePcpZ7SDW1tbC7XYjGAzKflxdXcXY2Bh2dnak+E/T1VgQxEge6YYLCwuYnp7GxsYGWlpaJDjE86izI5rXXIlO9Pv9JTQp82do+WXmufNeMCtA54tGmf4s0oPYN5n3k2l6FqRnMhmsr68LpYkOznGoA5TbpHww0ul2u6UfL6PHpF5GIhHMz89jdnYWd+/elcEMHAU/NzeH4eFh3L9/X9r9kT6aSCSkpiORSCCTycDlciESiSAUCqGpqQm7u7vSe5w2US6XE5n1MFi2DGhEcqENDQ3C37t16xYmJycxMjIi0yWuXr0qFnkmk5ECKM1JNKOcp0ejyOFwwO/34+LFi7hy5QpCoRCy2az0I2QkgaFrq+P+dAsHoLT6WJPUqbiam5vR2dkpRRe6mTYjC9o4ocJl5CCZTEraiIrU4XAgEAigs7MTHo8HwME4NXIMdcrGKnTBHAAxUHVqVTctp2KMx+NSxMF505wowlG5NJiy2SySyaQowXw+L83R3W637JnGxkbs7OxI3z9WWOvuDFYNH6/Xi/r6eikQpKKnoOM8+GQyKbw6RrUGBwclxVNuQhwN/nL71uFwoKOjA4ODg7hw4YLQAkZGRvDRRx9he3sbFy9exMsvvyxV4YyMWW0HpitEzZw57lkatVrR6DZMra2tkroNh8NIJpNyv+iMkbtOnhmLMdm+ilFXKg+dwgcOIhSVRF5dLpcINH3+NOWFz4GZESpnptm1YaupETo1qDl7NMj1mGRdkU+urC7+0QasFdTU1MDj8ch+XV1dBYAS3t/a2hpSqZQYaD6fTzjky8vLmJiYkKJJcuwYdWUdAbMHNFLT6TSmpqawsbEhE3Nqa2uxtLSERCIhRVp87uxQwUIcK6CxPD09jenpaXEgyc2lwcX7TfoRC5lotLAfcTabLaEcUAEzus+Cy7a2NpkqlEqlxHlldJZp3bGxMbz99tt44403KuK7UkYCB91HSBtLp9NYWVmBx+NBNBpFW1ubjGnmNdIoaWtrw9DQEPL54qhXoqWlRQY2UI4xWsao7vnz51EoFCe88bzRcF1ZWcHCwgKWl5fleVqlf+jIsv4d+fR0vhiQoiFeKBQwOzsrchY44IUCB8ZUPp9HJpMRfdjQ0CDdKPL5vMgpBnp08IDZEVJ+uOesIhgMYnV1VWQN09k6wspIum5Xp7+f94B0Dsoes67gPib/XPNLAWBtbQ3Ly8uSka5Ex5uh74nmWjPj29jYKJkXBtoaGxsRiURkMMj8/DzeeOMN3L9/H+3t7SWOcCqVkm47zExlMpmSLAL7K/f29sLv94vjw1Z/3EekMD4KFRVsUZgz5dPc3CytOVKplEQP+/v70dfXh6tXr8qEqcXFxZKCHM2hNYflzUrZ4XDA7Xbj/PnzuHHjBi5cuIDq6mpMTk5icnISu7u7kobOZrMlFeBHhfmgav4RlRkVJbmuTPGxcpgcEs1P1fdPG6rpdFr4sEwBhUIhhEIheL1eeR8jR6yg5gasJKJFocO2XB6PBw6HQyIZ1dXVWFtbE+I5uWpM/dM4Bw56oeq1MS24trYm7TXIEfZ6veju7paoa6FQwPr6OjKZDFKplBS46cIfq96mTm0zJUrFmM1m4ff78eKLL2J3dxeJRAJ37txBXV0d+vv7MTg4KHPEx8bGMD4+LoVaTPkQuk1cbW0tAoEAhoaGcOHCBZkoNDc3h48++giZTAahUAivvPIKbty4AbfbLYK8tbXVckq2XMZCRwB57+hk0eCiEc/zxO9nGpNV3ZpTqtN0jBKxjyajHlRI5sbXjIZUwrfTPD7t8JqNWK0EydOlkqGBqzlkTHXSGWbRFiOe7H+rC6nW19cl80GDlQ6CWVYcFTQu29raEAwG5fnpdkDsPMCepQ0NDejq6pJMUDqdlkxOoVCQsY6ak0tDik45e8qSc8nU9fLyMiYnJxGPx6Wvr+YUVjJoQs+5n5+fx9TUFAKBgHBoGWhg1JsjXulA8RlkMhlkMhkxeulUcJ9qR4a1Cdz3DCrQ+OEzY8qWhWlMlVoBr5E6jSnRBw8eIJlMYmxsDAMDA/D7/dIyECgtuMzn8yVtEjW/m2ljbdBqHcW9a66FoNE+Pj6O5eVlKZ4lx9YqdJaP55pdYWis0Hmsr6+Hz+cTWcT2ZWYnVmcy6WClUik5v6yZ6OzsRHt7u2Qg+bnUYVpGVVq0NTAwIDqZgRt9zikvKFdo8DEQtLu7K3ud187+pnSi6FQw00pDn9PWOAyGdSfb29vSSUk/h0rA80F7S8tU6i+2OGM/ftoifEZ7e3sYGxvD7OysyFFzZpnY3NwUR7ehoQE9PT3o6+vD5cuX0dvbi+bmZqn/4dAUAOKIahvxMFTU55WGFAARckztkJAcj8fh8XjQ3NyMixcvSlRheHhYvDCHo7SZr7a2eag1B8/v92NoaAgvvfQSXnjhBXg8HszPz+PWrVtIp9My7tLlciGZTH4f1eAooMDTDYgBiDemvSndy40GCJUbcNAAXacZNO9IR88oCDhKt729vcSopYdP4+O40GlYGiL8vRY2oVBIorLs4cvIDou2aFDoaJt2ONhVIhQKobu7W9I/mi6wtLQkUVcecipOq5EC3fbI5/OJgUnj0+/345VXXkFNTQ2+8Y1vYGpqSg4v05PBYBBdXV3o6elBPB5HMplEJpPB6uqqpAAZkeLkoUAgIBmHQqEgHDoWht28eRMvvfQSQqGQpKxpAFtVKOb2R2alp//N/WzmiZL7SUHl9Xrh8XhKopI0BGhos3cm07Q6G6ENZy0krRajEeZUbLm1UvACB621qETIS+d+pGevo6Xkf7Frhu6awPQVRzmyt6HZSagULHrI5XLSQ3Vtba1kMh0jGEx78+x0dnaKAp+bmxO+v+YH0/gnv5UFXNXV1QiFQggEAohGo5LdyWQyMvGK66U8433t6+uztMaNjY0S43h2dlYcHspHUiIYLaSs47WTJ6/3hOYKa5mqM2N0XhkZ04VMvMek+ADFdlPnzp3D4uLikdfHfUQ5yKJQ8o7HxsbkeXAIAlBa08GfutbCvK/MrbR0twtNn6Eu5bSw6elpuFwu9PX1oa+vT6gZVmC+tzqgwz3KbAbPBuVjb28vXC6X6AzNGddr4OfrjgNsYejz+eQcU/cyA6SLmXitlRh4V65cKcmO0jCj4crnrB1mAFLHwbXRmGbQhxlqTtmkM0IaIF/rdDoly0KuN6GNzEqNV4LPjuugPeN0OqWv+tramtgkzc3NCIVC0q3F5XJhZGQECwsLRzIw3W43enp6JKjT19cHt9sN4KDLAuUA98VRbZxjWUH09LlRr169imw2i4mJCXz00UdSIBOJRORgNzY24qOPPsLCwoKQmh+Fmppik+fLly/j5s2buH79Orq7u5HNZjE6Ooo7d+5ge3sb58+fx7lz5yQFx2IDq2syKyWtiHmAGOEhd4eNmGmEsvcnDQRzgQe9SwpXtsEJBoMIBoOSQmC6kpFeKnK9Ca2Cni4AaXOlIxrpdFqEDQsBGhsb0dHRgZaWFvh8PqmQJDldR/l4yNmyh7QEro2tjMhHY9qBHQbI06Rnq6MORwGdjIaGBmmNRR4nUCTns53Z1tYWvvOd7yCVSuHb3/42kskkent7EQgE0N/fj66uLiwuLiKRSEhfRlIJSBmJRCIIBoOoqanBysoKZmZmkEgkMDY2hqmpKbhcLty4cQMf+9jH0NfXJ9fHe0Uj3QrYvkp3xjBnLvS/ueeoBJk+5etojJl51BQkVCw6pU4Bbuao66ItTb+xCnNBFK9HQxePAAfFWyxgooJjQY8568NzqAeukBZFDii7f2hZRaOJ97SSc5hKpSTqQAOIBoieTLe5uSlFni0tLfB6vdJ2jpE0tjfj/aAR4XQ6SwqlSPXw+XwIBAKS/Zibm8Po6CimpqawuLgoNQ2sjqdStWq8RiIRhMNhNDQ0CKWB32s2JEkBYEN/3lNGwrQjVG4/mVOjlF2av6wN+/r6enR3d+NjH/sYLl++LBzfv/iLvzjy+rg/6RTV1NSIY0HHY2xsDLu7u+jr60N7e7s0dOd54U8tB/R+KsenppHG7+G6SNcaHh6Wzgm9vb24dOkSOjs7pfeoVegzrgM6NGDZGooZDu5hcpZ9Pp84/5ubm2KoaJlBZ5NFXx6PRxr500DmZ1Nv8pnyc7RDbwXXr1+XTBOpSsDBZEItJxkQYEEZANELm5ubYvixm47DUezJvLa2hqqqKrS0tCCbzSKTyWBnZ0fS8tSpOnimKVLHMWJ1fQQj5OTz0wlmsSQ5uQzOtbS0yChjn8+Hzs5OzMzMSMZCO7gAxMhlh5poNIq+vj4Eg0Fpu0lqhG5XqHs8H6XQviLjlUKNRhwjj0NDQ1hZWZE0PlNxoVAIPT098jDb29tx7949TE5OikddDmxJ5PF4MDg4iJdeegnXr1+H3+/HgwcPMDExgfv372NxcVE+1+/3l7S0qmQj6/eYo4jaY9G8GxZvVVVVyeFbXFzE4uKitMyiB0fOIQ078p/Y81R3F+Ba6PmYC7UqUZr0BjkIgBwjRjzz+byk7miEhkIhMVrq6+ulwwPTA+QDMpWnK08Z2dUj5EjrWFhYwMLCgkRdaXDQ6KT3Z6XXK+8R09na6Nf9ESORCF5//XV4vV781V/9FT788EMMDw9jYGAA165dw+DgoJDoOzo6pMWSFiyMRLpcLol2fPDBB0gkEsjlcmhvb8eNGzfw6quvYmhoSIQ8BZCZinBUsJJfO1Xcp+XSTOWEC1tksYCJPEMa52x0T5oJ76uexsR7qnmpuqDqYRzhR0ELaR35MfNfCV4feVTb29tiuNGpNJ9j/pv7gtQDzV0nz9XsZJj3k9U1apoR+eB1dXVi4Oh2Tmwhl0wmhT/GKmSCVcOUG8BBCpN0CF0A0tjYiL29PUxNTeGdd97B7du3kU6nhe/MCPvKygpmZ2crGlJw+fJlyeawzZi+d9wn3LcNDQ0IhUJirOlggnk/mKGfjXYszHuUstvpdIrOoNKuNJKuo5FNTU3SHo+ZqrGxMVmDOQJb7toPk+vm1wEHUwlpAN29exdTU1Oorq5GJBLB0NAQurq6JHpZiU4sdw08S9xjAEp6hjIrQp4te4ay8JGv47NitoFOJCP03AM0dvl9ukuNvm+V6EQWxfE/vUbzTxrpLG6Nx+PY3d2VrgnUrZ2dndItqL6+OG2S62BHHNayUBZQz5kdDL33KzFeaaswiONwOCQ4RKfR6Sz2Jt/a2hLj0uFwiH4LBAKoq6tDR0cH0um0FFbSvjEb7ex5zy4RdNoYtGLmkR01aEfxWh4Fy8YrDRMAoii4gVtaWtDT0yP8keHhYWSzWVy7dg3RaFR6r9Iav3v3Lqanp0vGp1JJsYCmo6MD4XBYKrRbW1uRTqcxOjqKkZERJBIJIQJ7PB4puKLStEp2Nh8AcyocQMlnc94vDS0WfdBQY48+TYRmBITGK6dYcTNRWdG70/y1csLLKlKpFLa3t+Hz+WQcIiOn7P3GtPbc3JzQF9hCq7W1VdKcFEZsCaIjEFSa3JSkm6yvr8vhYBsqbvpCoSA8THphjY2NGB8fP/L6dCEOjbF8Pi/FBRQ+LpcLg4ODEpHb3d3F+Pg4ZmZmpP8e+UhMJ9NjzefzyGazSKfTmJ2dxdraGuLxOEZGRjA/Pw8AiEajuHnzJl555RVcvnxZOG+6aNHhcIgwtwIqYjMVheumIcsoJCMePL88w0wHk3tE2g8jdpyKVi66qKPrdFJ0g3ReXyWV+AAkotPU1FTSwk5HO82RIB2R0pFkc7ZCpyp5jbwHdMJo2OuMgn4/hfXDooGPAtsyaTnCdjGMNDHSw2um8cU+iZFIBM3NzVKkRWeEzigdLEafyfVk1uPDDz/Eu+++i/HxcRQKxabyfPZUbrW1tRWNh93Z2cHm5iZqamqkjyuHBvCzyfXTGSkad3p/l3M8CHPEkvtfPzc+R96/XC5XEpnlGbECTWXh/uT9Ym1CPp+XIjm+nhOHzEWpek+Xk+/8PV/PKDJbfo2MjGBqagr5fB7RaFQ6nuhsj1Xj9WGcS34e9R6fEfUAB7DoLCgNOE2bo4NBGiFlFwM3wEFLLOpWyvLjBHIIFkge9V7w2tk/eHV1VZr3P3jwoKQw0Ov1ymStra0tmVzIllm6uNK8Bq5Pr7MSOcOsDIMl/CzKVu5bcnBramqkPdbOzo5kaFnsHI1GpSUdjXgAkk1mFxrKEMpXBrzYWYWBOwbttLx+FCwbr4z4sBURUxY0svx+P27evIm9vT28/fbbeO+990QJhEIhtLa2Sg/Wvr4+LCwsYG1tTYQJbwBTvjRgyctiy4Y7d+4glUrB5XKhv78fvb298Hg8JVE2RoisQnMGzelXPmSdmmPqj5FXCi8+EJ0i4UGnIcXr1WkyktdpdPHvurXVcQ7q3NycGIg6zUL+C43rmpoarK+vY2ZmRrg/4XC45HpIXG9raxOhpItqaGRx7zB1yJ6wDodDaAGMBDLlxI3d0tJiyXgllYX9V2m08RnQu2ZhmM/nw2uvvYbu7m5873vfw927dxGPx/H2229jb28PbW1twjXUhSGMVrIV0O7urkzs6unpwdWrV/GDP/iDMmGrnMKlwrMafaV3yj0IHChsvUfYyWFubg7pdFroImbjj89eR7nY5kanJ80Ggcvlgt/vl+4JFIQ6EqyjvlbAz2HKkIaNzqiYuYM6Dcnv5z4rRz/gM9jb25Mevw8ePJABJPwu/R3AgdLWXFyrSqVQKEgxDqcMUtFTaZOSw2IKtuKhfGDEIhAISNaJz1LznLlf2INxZmZG+K1jY2OYn5/H+vq6pDUpt5LJJJaWliQSaxV3795FfX29dOC4dOmScOgJnbHRnFbz/WY0Txs52mjVTpzep9r41f9px4rrthpd1tQZ7VByb0SjUTidToyOjpZEYB2OYg0H5b7mYOv9UQ48j8BB8/lUKoV79+5hYmICANDd3S16Vg9BqCSgU86Q5n3W54rGSHV1tfQpJTVJnxUGefjZZp2m5RH7UtNJZgcSvT/MjkslINfyKJ/B9ZBawMJrLV85/pcFzhzEs7KyIp2GmLZ/WOCC+1PL30oyWbpVpw5EmIvcmLJnZo7r2tjYkJoIBj+YgaUxrIMIfA2DVuT9MjLP6Zpsucl18lw/MeNV80G4eEYW6+rqEI1GZYQaZ7nfunVLWixwKtbAwAAikYhwJrgRuTHYcHxvbw/xeByjo6OYnp7G8vIyHjx4IFHcwcFBdHR0yM1ihIwP3SrMm0N7+/p3vAf05LXRxutobm4u2SyHHQ5uTqYUzORlbnRzWrgScPIMcNCjjlwYACXgDYiCAAAbVElEQVQpHBatsO1FoVDsDkAhwigzI1BMAVLxaj7M8vIy5ubmMDs7i83NTbS2tsrkHX6fPkykjFjlvHLMnlbkTJewlUl1dbWkl+vr6xGNRhGNRnH+/Hm88847eOutt/Ctb31LGoPH43FJ+1DZkR9J/ml3dzcuXryIS5cuIRKJILI/UpMcXwphRhZoXJNbaQUU/vxczWkCDgoeSc+Ym5vD1NQUlpaWvq8YQLdeo+CgcKJhR84WI4H8XhZlkLbD79ZUGx1ZsoJMJoOJiQlUV1dL1TFHbHKssjZYtCLU69F/19FZXiM7CrCvZC6XQzAYlGyKFqTl1lGpM7m2tiYZBxqXvB4WTJK6wx6ddHrpgLG/J51N/p7ZBGZvWBCZSCQQj8eRSCSkldPa2ppEXWjE1dfXY2lpCZOTk9ja2kIkEqmo8M7v98Pj8UjnGUZ1dIBAK1Iz91obm9r5Z9TbbHDw/ToaR3nM6B4/DyilGFVCi9CUB628gYNWaNRLQHHAycTEhFxnZ2encJv1vSDMxpk5mELe5cjICKanp5HP5xEKhTAwMCDRXQYk6NCZ2/8dBeWMxHKZD1KZKEeoFwuFwvc56Ic9f32Wee9cLpdE/2iwa1mnr7ES/cjMBm2bcga12clwOp3S2m15eVnGO/OaNJ1ufX1duvhwKA338sOuV5+J4+h/HdHUUW4d6Wbmh7Kfr11ZWcHu7q60sNQtExlkAg6yt3w2dFxo0+isH+tO2PLN4XBYKtYCKjReeWCZ2uYXszCJk19+6Id+CBMTE/Lf8PAwXC4XZmZm5HAxzcgbxmgRG4zv7OxgYWEBH3zwAW7fvo1sNove3l6cP38e7e3tMo6OKQQeGnq0lQjccl6mWUjq7+KD0pXyTJUDj+47x7QtmyNT+TKMbq6mPK7xqoUNDRUqOgoN/l7zbDc3NzEzM4OFhQXpT+d2u6XynAYDo108vDQO5ufnMT4+jkQiUdLmpLm5uSSqxpS2TkdbASNtvI+6GpeGlF4riwyam5uF+1QoHMylJhmfz3p3d1dSq5wIE4lEZKKW3+8X455r0dE7CgWmjLTHflRop0xHlaj4aTTScN/Y2EAqlRJOln7+5pF8VEJM++TzxdZuyWQS6+vrJUYy6SdME5ojYGaFbgWZTAbf+973pMr9ypUrEsHVlcZmR1NHZmnM6fXqSCn3PZ0tRjy5Hv16QvPftMFvdY0c+uFwOCSqRMXAlj3ZbLZEDlA+MK2eyWSwsrIiHEC9F6g0OaJyfHwc9+7dw+zsLHZ2dtDY2CiFTJx2Rz4tezCyJV5VVbFtl9Xo66c//ekS/qx+DnxedAR1TQBwoAz5Hj5LGvCa067pFIziaoONOkX/ja3D+Dp9Rq1AG9l6r1GW0cGjDonH47h//z6A4v4MBoPy7LTRbU6H6zNFmZ3JZHDnzh2hJPT09CAajaKjo0NoWFzv7m5xYAFpTVbWZ4Y5g6RfR95vbW2t7GFzlwHtBPK+aJmmg1c867pFpNmwfNi1HhVarh32HGhEan480+B6TTpTw6w0Mx/6+x4l97Xhepx1MtjB86ZbjHHNzKZqA7epqUkm1bGGR4+QNQ9y0c4KQfuOUXmnszjghkOQdCRdO62PQkXGK3DQQoeWODcSPY2WlhYMDQ3JPHQKHIbYd3Z2MDExIYusr68XRUk+CAXW5uYmFhYWJAJz/fp1XLp0SarjOJmJxVKM4jEyZgVmD1NHXbVSpLAy/47fR74PU3f6AOj30Csht07TCnRaWBsG5Q6wFWiKAgUsD5XZwDLTGjS/lcbgzs5OySbk9eooHSNATOGTmE/lwYIu/p6Gpy5cOSrI2dQRfBoiugiJyOfz0jy8sbERXq8XoVAI4XBY2l6RF8eDHwgEhN995coVXLp0CcFgUD6T94VUBa1geS3cI1YNV+DAQNe8Uh54Rpd04QQFJ7tDOBwOUQzAAVeJxgGrednH0el0SvpHR8PMnFAd3dTnoZJ96vf74fP5sLW1JQ3ddRSL69cGD1A6vUefJf5eZ010D0cWJOq1mKO3ZqGqZYTVNdbX1yOdTmNrawtNTU3w+XxS+AKghPNKWcBn0dLSgtbWVjmHWv4mk0nMz89jbm5Oojy5XA7j4+N45513EI/HpSq+s7NT2hExUsbIFu8L9+rq6qpl4/XVV18tMUrJq+fz4T7kNVJRa34mZQH3K2WC5m4DB/UYWpayZ2QymcR3v/tdjIyMAADC4bAEUKgryO+2Ak2l4TMwU3KqqordeCKRiDjKqVRKepOvrKygpaVF7g/vi1l36TPFZzUzM4OZmRkARarAuXPn4PP5RAbwmsjPHx4exq1btyytUa+lXGCH0NkW7WiwYwX3s5lGp51dACVym8+6nI41O8jljFkra+Tn6/Xo7zFHXqnXmGEs97zoFGnqFLsnlDPQyt3jStekQblGQ1JHXGm8mosoa2trZeIXA1QOh6MkEktdUo6Sw89g3QqzZrrrB20LBox01uRRsGy8MgxMQaN/T2XMh8LFX7hwAR6PB1euXEEqlZJBBlP7o2M3NjZKhBsN17a2NgQCAQSDQVy+fBl+v18a+NNwzWQyQlHQVj1viNUJW0Q5w1VHV7ghtTCh8uf90cUW+lBz42hjhg9bt8Iqd5B4sMsV0BwVOsLAe8bnqiO/OuqqeSxOp1O8NqbjC4VCCVfN6SwW/NA4r66uFmeHk3MYeecz0/PPuWZtlB0VnEyip3uQp83vAVAiQLUzwQIn7ks+W045am9vR29vL3p7e6X5Muc0E7yH2ujRRh7XxAi21WdJI4b/aQcHgFTMb21tweFwlERXqdip3L1eL3w+H9xut3jDmkrC3qO6kEZzlHTBEp01rVjMUYOj4tq1a4hEIigUCsJ/1tEY7YDRwDKfW13AqaG5ibw36+vr0vRf72PgINKtn5M2nCtZYzgcxoMHD7C4uCjRJVZaa4VCziKLXxgwYBseRvzy+TxWV1cRj8dx69Yt3L17F+vr68KpZWcDANL4v7a2Fl6vVyJl5OlpBwE4kO9WweiolivlItn8fN3wns4f36flk/nZ8xopixk5pyM8NTWFr33ta/jmN78JAHj55ZfxiU98Aj09PRLJpLNqBZqCY973POM8ay6XC+FwGFVVVRgbG5P2ZKlUSpwWzQ3X7zfLQOrabDaL2tpaRKNRDA0NIRAIwOFwlIwRLxSKvXJv376NN998E2+99RY+/vGPW1onoQ26w4xFbcRSV5AqolPL2jnU4GfriDjvhzZeyxmulUJH+Mt9NvWEfj5azx/V6NLZPys4jhwFDugtNF4dDsf3nS99Ruko8z1NTU0IBoOor6/H4uKi9DtnNoP6VlO5tOHKLida/1Je85nq7NJRYNl45cKoGICDw8XonU7PUCGS95TJZDA3N4f79++LQZFMJjE3N4dkMolcLieGTVtbGzo6OtDf348LFy5gYGAAHR0dqKqqEh4XK9sAlDwYHhirUS0tXLnBtAFr9hIBiLDVhQdAaZst3jOmtrRAooKil2l+oPpwl4sgWQV7OHJtWgjpZ8siEUZAdMqO3jCFE7sQ8LOotHK5nKQeWeHPCCejtebUEJWRFgxWwCIj7gttVHGNFCI0yDW/mmNlOZ8aKEbJ2DS7q6sLkUhxPjM5bTpipVNLOopFig2fJ9uJORwOy4WFWolzfdlsFpubm8LBYlN67XzoNDqfP3trkvLAa9re3sby8nJJj2G2OyF9SBuve3t7ItC08qGysgq32y2cQF2gYxbi5jOiI2Da4WK3Cxp7vD7uvUAggPX1dTHQdZTcfI4p1HXExup57OzsFE4rcDCmmelWKhxW7PL66QSSp0lKB2k5d+7cwb179zA1NYVsNgu32w2fzycDZQi2D+M51GcDOHBAqYiodKyA/Vl5vnivmBGgc8/sE41XfX/1feXrdTSMMtPMddXrYfEhwarvjY0NrKysoKamRkZDW4GOMvF8MRjAa9FGV2tra0nf3YWFBXEQea3loq78G88ADaempib09PTg/PnzCIVCovO0U86hQbdv38aHH35oeQxuOSPVbMTqiKE+K1oOAJCxq9owLwez42s2UnV2RF9npcYdHXrisKiolgH8fx1NNr+e8oP/TwfsqDDfA6tGr16P3lu8lnw+L4E+/axY50LaEvnglBkApHOJPuParqCdwM9nezFO8tT6gzJZOw+PgmXjlRfHkDBBAw44SMcxJUqhR4OCRSy9vb1YWlqSSMEHH3yAXC6HwcFBXL16VUaIut1udHR0lLRu0Yq/oaFBjCx623wYVsfDMqKjI2W8dv1TG0C7u8VRqOl0Gtvb2xJBoTDTfFDNDdYGsY7uchMBBxEic2rqONCHXgsYRm+AgzQye0HSADC/n9xcRneAg76DLIpiOzV+HludMMpkTrPRM9UFgVbA+0slzHQ5D4e5D6GOMJe7VzywHo8H7e3tMosewPcpWv5OG8uavK4pG1rhWe02oIv46DgtLS1hdnYWk5OT0jxb9z6mAUsBqikrFLI6gsn9yOfCZ0ohqqu/aRTRsAIg9J1Ko3aJREKcHFb/61GQvC5eq85O6EwJnwNlEgtLmSnh82tra0N/fz+ampqQTqdLKvbNilI7soTVfcpMAEdAsqUVq7W5Dhan8TyQsrW2tobV1VVMTEzg1q1beP/99zE+Po5MJlPi9C0vL2NlZUUCDLxuj8eD3t5eaaq/ubkpz5mpdwYY2K/TKiiLdeWxVvL8XlLF+DfKH8pO7YRoI0Lfex2F1Uq0UCggEAjgtddeQzQahcvlkvHNiUQCyWQS+Xxe9oQV8Dt1fQBwYLDqf/PeclxmXV2d8N3LReTKGWqax+t0OqUHNal5lEd0zhhhn56eRjweRz6ftzxoQu/rctE/8zkoZ3jrtZRbpz7L+jPMerfcc3/YtR0VugDMrB/1d/E1WvcfRgHg+3V2xir4fvO6rUJn/CjfaZNoHcy9RYd4Z2cHbrdbiptXV1fFHmBrUu55XUDJz6LtQtogKQecLMZ6F00jemKRV7OQMCsyeuhU1OTaUZjSuGxpaUF3dzdyuZw0+eXCXnjhBbzyyisIhUKiXMjxYdUe0301NcV+ohS2bDvBB0DO11GhjUwN8yamQaT72Wl+GgU+Fbg2NKiIKIh4AHX6XXvx5mvQB6ISMJqiDS9+Jw8Kozp8ZppHycOtq5/JVQUOxhTSyaChxZSBjrhyj2ijXgv+SugR/B6n01lSMJDP58WQ5vWboXk/QKlgpRHL+7S1tSX3SBtMjEzqAgXgoE+hNhytpJw0eO8YVVpZWcHU1BRGRkYwPj6OpaWlkuEZOj3EyCINWhaOuVwuoRnoqA178TLKBRzsQR2R19QLfX/NkdGjIpVKyfkmtYEy5jBlprMH2inSf6Nw1Y4hhbjf75dIOCP4hFbSfL9Oj1oF7zWdcp/PB6/XW8I50w4H5Sgbm09OTiKRSODWrVt47733cPv2baFJkRNbVVUlnSJ2d3dLIs4siKyursby8jIymYzsRUYkeV5I9bEK7kE+B3Pal+thhoxnT8vOchw9s6NCZcnP1/vR6XSiu7sbn/zkJ7GzsyMV+CxcY5/xQqFgOVNH+abltY46mqPH/Bsjpu3t7WULmoDSQkyePZ2a5R6hgc/iTMrrqqoq6RgxMTGBra0t+P1+6QpiBUcxYPlTR551QEI78joKaH49oWlR5uiu+XuPY7gCpZO0ykU46Tho/UcZz2d3GA5zgI8CfW4qjbryczQFijKbe1e/ThvLLERnMeuDBw+EDtDa2oqmpiYxPDUVRNM9mCmhfaMplUBpIW05x/QwWDZed3dLJz2ZK+G00ODN0e0nzEYX+Yj0smtra9Ha2oq2tjaJrPKG8HPMXpuOnvD19DitGq+8Tv1vvaFptLOPG+cV19fXy3hYLWQoRLSiK7dZ6NkAEJ6IjnqV4/qYPd6jwufzSTpYt6fQz4m8OnrzZiFBJfIo/g6LpNgHlgVT+lBqHhTviTYera6xvb1dCjXoYJDeoItF+JOOCp8tI3R63ayk1AacXjufDY0MPbQBQEnUiMKOVar0ZK1A9/3d2yv2KJ2YmMD4+LgYMDodxHPCaDfPDNfAwRXkIOsUki7cYR9AckTNqSEa5zQguK5KIq9mhWjeB+aohJYv5vdQ+TCypg0ioNQI4mQ/bSjRedHXRPlX7tqOAnKqmbnQ/ax5rZpysr29LVFRTqe7desW3n33XczMzGBtbU3WorM9WpHoLMve3p5EZFOplKQJ+V005HT3D6sGLB01ACWGGP+f557UHT2aU3Me+Tk0HjT9QUMHVvj9NTU18Pv9MmSBVfd0QFlIzGExVmCu0DZHDnW2SkdidZqVkSlmKklt4Wt5f0g5MNMSgAPDQd9PoBh1v3//voyKbW9vR0dHh+XWfED5qFi5KOhhZ8F8zeazpNd82Gu1HjTfa/NrrYCpb30P9bXxuxlcIf2PzsKjDEsrhuthr6OMqgRat+vIqJnmQp1eV1cHr9cLh8MhVJra2lr4fL6S4TW60EoHw+hY8TuYgWloaJDCbTrhOkqrgwmPXJPVm/DFL37R6luODI7Um56exh/8wR88se95GD73uc+dyPc+TbBNzsrKCr7+9a+f9OU8dnz5y19+LJ8TDodlTxIcZ3vS+PznP1/295q+ARTbMbEtT01NDbq7u4/8HdrbJ+m+HOLxOOLx+JE/96hgcc1ZRXV1tRiD+Xwe8/PzD21jxMyG3oM1NTW4efMmbt68eaxriez3JX7c+JVf+ZXH/plPChsbG5b5oF/4wheezMU8ZmiZYNVw/exnP/u4L+eZw6//+q9X/N6uri78+I//+GO8msMxMDBQ0fu++tWvPuYrOXkcb8ixDRs2bNiwYcOGDRtPEY7j8ERs2LBhw4YNGzZs2HiasCOvNmzYsGHDhg0bNk4NbOPVhg0bNmzYsGHDxqmBbbzasGHDhg0bNmzYODWwjVcbNmzYsGHDhg0bpwaWW2U9LhiG4QDwGQA/B+AigCoAIwB+F8B/jMVi1htDPuMwDOMnAbAH2D+JxWK/fZLXc1wYhvFpAK8CuAbgKoBmAH8Ui8V+4kQv7DHirK/xeTiHz8Ez9AL4MQCvA7gMoAvADoAPUXyOvxuLxSrvcP6UYHUdhmEMAPgUgL8LYABAB4BlAN8B8OVYLPa/nuoCjoDj7kXDMH4HwM/u/+9ALBYbeyIX+pRg68TThWdJ1pxk5PX3AfwOgCiAPwHwWwBqAXwFwJ/sK9UzA8MwwgB+E8DGSV/LY8TnAfwzFA/q3Alfy5PCWV/j83AOz/oz/IcoPre/BuC7AL4M4GsALgH4bQB/ekqeo9V1fBHAb6BotP4lgC8BeBtFxfqGYRg///Qu/cioeC8ahvFJFA3XM6FDbJ14KvHMyJoTibwahvGjAH4SwCSAF2OxWGb/9zUA/hTAPwDw0wB+7ySu73Fj/2H+LoBFAH8O4F+d7BU9NnwOQBzAGIre5jMX6XgMOLNrfI7O4Zl9hvsYBfAjAP6nKTL5iwD+H4rP8VMoKplnGVbX8XUA/zYWi72vP8QwjFcBfBPAvzMM489isZi1yQNPFhXtRcMw/CgaDX8CILD/3lMLWyeeWjwzsuakaAOf2v/5JSpMAIjFYjnDMH4JwI8C+Oc4/UqT+HkAfwvA39z/eSag03KGYZzkpTwxnPE1Phfn8Iw/Q8RisTcO+f2CYRhfBfBrKMqeZ9p4tbqOWCz2e4e8/luGYbwJ4DUAfx3P0LqPsRf/0/7Pz+IZWs8xYOvEU4hnSdacFG0gsP9zoszf+LsXDMNoK/P3UwXDMIZQTG19JRaL/e+Tvh4bNhSem3P4HCO3/3P3RK/i+LC6jrOybhiG8TMoOpL/NBaLLZ7w5Rwbtk48s3iqZ+6kjFdGeaJl/tar/n3+KVzLE4NhGNUA/jOAGQC/eMKXY8OGGc/FOXxesS9/fmr/f79+ktdyHFhdh2EYPQA+AWALwKk2jvbX8hUAfxiLxf7bSV/PcWHrxLOJk5A1J2W8/o/9n//CMAwPf7l/A/6Nep37qV7V48cvA7gO4Gdisdj2SV+MDRsmPC/n8HnFb6BYSPGXsVjsGyd9McfAkddhGEYdgD8CUAfgC7FYbPkpXN8TgWEYThQLKjdQTLOfBdg68Wziqcuak+K8/hcAPwHg7wG4ZxjGf0fRS/7bAPoA3Eex9cmpbdNjGMaLKHqWX4rFYv/3pK/Hho0yOPPn8HnFfqX9vwQwjGJR3qmElXUYhlGFYlTvZRQLm/79E7/AJ4vPoVj08/ppNsIJWyeeTZyUrDmRyOt+ldqPoFhhuIDign8WxSq9v4FiBSIApE7i+o4LlRoZBfBLJ3w5NmyUxVk/h88rDMP4LIqp5nsAPh6LxZZO+JIqgpV17Buuf4hiK58/BfATsVis8FQu9Algv4ftr6HYN/MvT/p6jgtbJ55NnKSsObEhBbFYbBfFvnxf0r83DKMBxR5p2wDunsClPQ40ATi3/+8Hh1Qd/pZhGL+FImn9F57aldmwoXDGz+FzB8MwfgHAfwBwB8AnYrHYqXQ8rKxj3zD6YxQN1z8G8FNnYLjGRRSpD58xDOMzh7zm/r5u+bFTwIe1deIZw0nLmhMzXh+CnwRQD+D3Y7FY7lEvfkaRRbHxezm8gCLn5/+gOMnITp/YeBZxFs7hcwXDMP41ityzDwC8ptufnSZYWYdhGLUoRlr/PoqTmj5zGqaJHQFTOFyHvI5ip5A/A7C2/9pnHbZOPEN4FmTNSY6HbYnFYmum391A8YZsAPjVE7mwx4B9Ivo/Lvc3wzC+gOJB/f3TPgrPxunHWT6HzxP2+/L+KoD3APydU0wVOPI69ouz/hzAD6NoGP3cGTFcEYvFPsDhOuRNFI3XXzwt42FtnXh28KzImpOMvH7TMIxtFEPO6yimSX4YRQ/tU7FYrFzvSRvPEPYnNP3o/v+yZ+hNwzB+b//fmVgsdqonpzwHazzz5/CsP0PDMH4aRWWyB+AtAD9fJi07dVhT/2cFFazjqyju1QyKozh/uczr34zFYm8+oUu2jLO+F593nPXn+yzJmpM0Xv8rgH+EYrVzA4B5FGfj/kYsFps6weuycXRcQ3F8qEYvDnqETuP0j/0762t8Hs7hWX+G7NNbBeAwruC38OxPSrO6Dr7eh2ILpsPw5nEv7DHirO/F5x1n/fk+M7LGUSic2oJMGzZs2LBhw4YNG88ZTmpIgQ0bNmzYsGHDhg0blmEbrzZs2LBhw4YNGzZODWzj1YYNGzZs2LBhw8apgW282rBhw4YNGzZs2Dg1sI1XGzZs2LBhw4YNG6cGtvFqw4YNGzZs2LBh49TANl5t2LBhw4YNGzZsnBrYxqsNGzZs2LBhw4aNUwPbeLVhw4YNGzZs2LBxavD/AbIp4xTvxKP1AAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 864x291.6 with 36 Axes>"
       ]
@@ -228,8 +270,8 @@
     "print(\"x_test  : \", x_test.shape)\n",
     "print(\"y_test  : \", y_test.shape)\n",
     "\n",
-    "ooo.plot_images(x_train, y_train, range(12), columns=6,  x_size=2, y_size=2)\n",
-    "ooo.plot_images(x_train, y_train, range(36), columns=12, x_size=1, y_size=1)"
+    "pwk.plot_images(x_train, y_train, range(12), columns=6,  x_size=2, y_size=2, save_as='01-dataset-medium')\n",
+    "pwk.plot_images(x_train, y_train, range(36), columns=12, x_size=1, y_size=1, save_as='02-dataset-small')"
    ]
   },
   {
@@ -320,11 +362,11 @@
     }
    ],
    "source": [
-    "ooo.mkdir('./run/models')\n",
-    "ooo.mkdir('./run/logs')\n",
+    "pwk.mkdir('./run/models')\n",
+    "pwk.mkdir('./run/logs')\n",
     "\n",
     "# ---- Callback tensorboard\n",
-    "log_dir = \"./run/logs/tb_\" + ooo.tag_now()\n",
+    "log_dir = \"./run/logs/tb_\" + pwk.tag_now()\n",
     "tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)\n",
     "\n",
     "# ---- Callback ModelCheckpoint - Save best model\n",
@@ -403,68 +445,70 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Train on 39209 samples, validate on 12630 samples\n",
       "Epoch 1/30\n",
-      "613/613 [==============================] - 3s 6ms/step - loss: 1.1932 - accuracy: 0.6701 - val_loss: 0.4573 - val_accuracy: 0.8944\n",
+      "   64/39209 [..............................] - ETA: 33:14 - loss: 3.7738 - accuracy: 0.0156WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.196982). Check your callbacks.\n",
+      "39209/39209 [==============================] - 6s 158us/sample - loss: 1.1424 - accuracy: 0.6832 - val_loss: 0.4193 - val_accuracy: 0.8983\n",
       "Epoch 2/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.2293 - accuracy: 0.9339 - val_loss: 0.3381 - val_accuracy: 0.9166\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.2088 - accuracy: 0.9395 - val_loss: 0.3385 - val_accuracy: 0.9175\n",
       "Epoch 3/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.1259 - accuracy: 0.9637 - val_loss: 0.2683 - val_accuracy: 0.9313\n",
+      "39209/39209 [==============================] - 3s 69us/sample - loss: 0.1111 - accuracy: 0.9675 - val_loss: 0.2648 - val_accuracy: 0.9383\n",
       "Epoch 4/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0859 - accuracy: 0.9742 - val_loss: 0.2495 - val_accuracy: 0.9412\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0809 - accuracy: 0.9755 - val_loss: 0.2344 - val_accuracy: 0.9432\n",
       "Epoch 5/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0702 - accuracy: 0.9782 - val_loss: 0.2693 - val_accuracy: 0.9348\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0610 - accuracy: 0.9805 - val_loss: 0.2406 - val_accuracy: 0.9445\n",
       "Epoch 6/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0555 - accuracy: 0.9835 - val_loss: 0.2509 - val_accuracy: 0.9389\n",
+      "39209/39209 [==============================] - 3s 69us/sample - loss: 0.0493 - accuracy: 0.9841 - val_loss: 0.2486 - val_accuracy: 0.9401\n",
       "Epoch 7/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0499 - accuracy: 0.9847 - val_loss: 0.2238 - val_accuracy: 0.9495\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0432 - accuracy: 0.9869 - val_loss: 0.2132 - val_accuracy: 0.9515\n",
       "Epoch 8/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0417 - accuracy: 0.9867 - val_loss: 0.2262 - val_accuracy: 0.9478\n",
+      "39209/39209 [==============================] - 3s 72us/sample - loss: 0.0424 - accuracy: 0.9869 - val_loss: 0.2084 - val_accuracy: 0.9482\n",
       "Epoch 9/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0366 - accuracy: 0.9890 - val_loss: 0.2629 - val_accuracy: 0.9437\n",
+      "39209/39209 [==============================] - 3s 69us/sample - loss: 0.0307 - accuracy: 0.9904 - val_loss: 0.2071 - val_accuracy: 0.9557\n",
       "Epoch 10/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0364 - accuracy: 0.9881 - val_loss: 0.2526 - val_accuracy: 0.9456\n",
+      "39209/39209 [==============================] - 3s 66us/sample - loss: 0.0304 - accuracy: 0.9901 - val_loss: 0.2182 - val_accuracy: 0.9540\n",
       "Epoch 11/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0268 - accuracy: 0.9910 - val_loss: 0.2523 - val_accuracy: 0.9493\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0308 - accuracy: 0.9909 - val_loss: 0.2411 - val_accuracy: 0.9487\n",
       "Epoch 12/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0315 - accuracy: 0.9902 - val_loss: 0.2491 - val_accuracy: 0.9529\n",
+      "39209/39209 [==============================] - 3s 72us/sample - loss: 0.0266 - accuracy: 0.9919 - val_loss: 0.2321 - val_accuracy: 0.9534\n",
       "Epoch 13/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0269 - accuracy: 0.9921 - val_loss: 0.2539 - val_accuracy: 0.9454\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0259 - accuracy: 0.9921 - val_loss: 0.2196 - val_accuracy: 0.9523\n",
       "Epoch 14/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0284 - accuracy: 0.9917 - val_loss: 0.2636 - val_accuracy: 0.9451\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0233 - accuracy: 0.9929 - val_loss: 0.2364 - val_accuracy: 0.9561\n",
       "Epoch 15/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0279 - accuracy: 0.9913 - val_loss: 0.2611 - val_accuracy: 0.9536\n",
+      "39209/39209 [==============================] - 3s 67us/sample - loss: 0.0253 - accuracy: 0.9923 - val_loss: 0.2121 - val_accuracy: 0.9572\n",
       "Epoch 16/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0236 - accuracy: 0.9925 - val_loss: 0.2330 - val_accuracy: 0.9522\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0222 - accuracy: 0.9932 - val_loss: 0.2444 - val_accuracy: 0.9576\n",
       "Epoch 17/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0255 - accuracy: 0.9919 - val_loss: 0.2145 - val_accuracy: 0.9597\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0198 - accuracy: 0.9939 - val_loss: 0.2047 - val_accuracy: 0.9597\n",
       "Epoch 18/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0258 - accuracy: 0.9927 - val_loss: 0.2652 - val_accuracy: 0.9530\n",
+      "39209/39209 [==============================] - 3s 67us/sample - loss: 0.0226 - accuracy: 0.9934 - val_loss: 0.2219 - val_accuracy: 0.9595\n",
       "Epoch 19/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0196 - accuracy: 0.9936 - val_loss: 0.2386 - val_accuracy: 0.9580\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0194 - accuracy: 0.9946 - val_loss: 0.2279 - val_accuracy: 0.9582\n",
       "Epoch 20/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0225 - accuracy: 0.9936 - val_loss: 0.2425 - val_accuracy: 0.9590\n",
+      "39209/39209 [==============================] - 3s 66us/sample - loss: 0.0198 - accuracy: 0.9940 - val_loss: 0.2343 - val_accuracy: 0.9582\n",
       "Epoch 21/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0206 - accuracy: 0.9943 - val_loss: 0.2576 - val_accuracy: 0.9573\n",
+      "39209/39209 [==============================] - 3s 67us/sample - loss: 0.0219 - accuracy: 0.9939 - val_loss: 0.2900 - val_accuracy: 0.9530\n",
       "Epoch 22/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0184 - accuracy: 0.9947 - val_loss: 0.2609 - val_accuracy: 0.9585\n",
+      "39209/39209 [==============================] - 3s 66us/sample - loss: 0.0205 - accuracy: 0.9941 - val_loss: 0.2387 - val_accuracy: 0.9556\n",
       "Epoch 23/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0191 - accuracy: 0.9943 - val_loss: 0.2705 - val_accuracy: 0.9592\n",
+      "39209/39209 [==============================] - 3s 66us/sample - loss: 0.0217 - accuracy: 0.9933 - val_loss: 0.2418 - val_accuracy: 0.9572\n",
       "Epoch 24/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0235 - accuracy: 0.9930 - val_loss: 0.2512 - val_accuracy: 0.9600\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0183 - accuracy: 0.9949 - val_loss: 0.2268 - val_accuracy: 0.9595\n",
       "Epoch 25/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0177 - accuracy: 0.9946 - val_loss: 0.2982 - val_accuracy: 0.9575\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0186 - accuracy: 0.9950 - val_loss: 0.2823 - val_accuracy: 0.9538\n",
       "Epoch 26/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0191 - accuracy: 0.9940 - val_loss: 0.2875 - val_accuracy: 0.9557\n",
+      "39209/39209 [==============================] - 3s 67us/sample - loss: 0.0197 - accuracy: 0.9944 - val_loss: 0.2486 - val_accuracy: 0.9556\n",
       "Epoch 27/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0189 - accuracy: 0.9943 - val_loss: 0.2517 - val_accuracy: 0.9577\n",
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0162 - accuracy: 0.9952 - val_loss: 0.2633 - val_accuracy: 0.9576\n",
       "Epoch 28/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0217 - accuracy: 0.9937 - val_loss: 0.2985 - val_accuracy: 0.9584\n",
+      "39209/39209 [==============================] - 3s 67us/sample - loss: 0.0174 - accuracy: 0.9950 - val_loss: 0.3610 - val_accuracy: 0.9512\n",
       "Epoch 29/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0179 - accuracy: 0.9950 - val_loss: 0.3629 - val_accuracy: 0.9527\n",
+      "39209/39209 [==============================] - 3s 67us/sample - loss: 0.0211 - accuracy: 0.9945 - val_loss: 0.2840 - val_accuracy: 0.9523\n",
       "Epoch 30/30\n",
-      "613/613 [==============================] - 3s 5ms/step - loss: 0.0190 - accuracy: 0.9944 - val_loss: 0.3480 - val_accuracy: 0.9584\n",
-      "CPU times: user 1min 43s, sys: 7.78 s, total: 1min 51s\n",
-      "Wall time: 1min 36s\n"
+      "39209/39209 [==============================] - 3s 70us/sample - loss: 0.0158 - accuracy: 0.9953 - val_loss: 0.2877 - val_accuracy: 0.9553\n",
+      "CPU times: user 1min 31s, sys: 10.2 s, total: 1min 42s\n",
+      "Wall time: 1min 24s\n"
      ]
     }
    ],
@@ -475,7 +519,7 @@
     "epochs     = 30\n",
     "\n",
     "# ---- Shuffle train data\n",
-    "x_train,y_train=ooo.shuffle_np_dataset(x_train,y_train)\n",
+    "x_train,y_train=pwk.shuffle_np_dataset(x_train,y_train)\n",
     "\n",
     "# ---- Train\n",
     "# Note: To be faster in our example, we can take only 2000 values\n",
@@ -506,7 +550,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Max validation accuracy is : 0.9600\n"
+      "Max validation accuracy is : 0.9597\n"
      ]
     }
    ],
@@ -524,8 +568,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test loss      : 0.3480\n",
-      "Test accuracy  : 0.9584\n"
+      "Test loss      : 0.2877\n",
+      "Test accuracy  : 0.9553\n"
      ]
     }
    ],
@@ -551,7 +595,19 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "text/html": [
+       "<div class=\"comment\">Saved: ./run/figs/GTS3-03-history_0</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 576x432 with 1 Axes>"
       ]
@@ -563,7 +619,19 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/html": [
+       "<div class=\"comment\">Saved: ./run/figs/GTS3-03-history_1</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 576x432 with 1 Axes>"
       ]
@@ -575,7 +643,7 @@
     }
    ],
    "source": [
-    "ooo.plot_history(history)"
+    "pwk.plot_history(history, save_as='03-history')"
    ]
   },
   {
@@ -587,14 +655,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "text/html": [
+       "<div class=\"comment\">Saved: ./run/figs/GTS3-04-confusion-matrix</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 864x864 with 2 Axes>"
+       "<Figure size 1152x1152 with 2 Axes>"
       ]
      },
      "metadata": {
@@ -604,13 +684,10 @@
     }
    ],
    "source": [
-    "#y_pred   = model.predict_classes(x_test)           Deprecated after 01/01/2021 !!\n",
-    "\n",
     "y_sigmoid = model.predict(x_test)\n",
     "y_pred    = np.argmax(y_sigmoid, axis=-1)\n",
     "\n",
-    "conf_mat = confusion_matrix(y_test,y_pred, normalize='true', labels=range(43))\n",
-    "ooo.plot_confusion_matrix(conf_mat,figsize=(12, 12),annot=False)"
+    "pwk.plot_confusion_matrix(y_test,y_pred,range(43), figsize=(16, 16),normalize=False, save_as='04-confusion-matrix')"
    ]
   },
   {
@@ -623,7 +700,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -679,7 +756,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -705,15 +782,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test loss      : 0.3629\n",
-      "Test accuracy  : 0.9527\n"
+      "Test loss      : 0.2877\n",
+      "Test accuracy  : 0.9553\n"
      ]
     }
    ],
@@ -733,7 +810,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -743,9 +820,9 @@
       "\n",
       "Output layer from model is (x100) :\n",
       "\n",
-      "[[ 0.    0.    6.66  2.88  0.   90.39  0.    0.02  0.    0.    0.    0.    0.05  0.    0.\n",
-      "   0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.\n",
-      "   0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.  ]]\n",
+      "[[ 0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.\n",
+      "   0.    0.    0.    0.    4.03  7.76  0.    0.   87.11  0.    0.    0.1   0.    0.87  0.04\n",
+      "   0.04  0.02  0.    0.    0.    0.    0.    0.01  0.    0.    0.    0.    0.  ]]\n",
       "\n",
       "Graphically :\n",
       "\n"
@@ -753,7 +830,19 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/html": [
+       "<div class=\"comment\">Saved: ./run/figs/GTS3-05-prediction-proba</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 864x144 with 1 Axes>"
       ]
@@ -773,7 +862,19 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/html": [
+       "<div class=\"comment\">Saved: ./run/figs/GTS3-06-prediction-images</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 648x169.2 with 3 Axes>"
       ]
@@ -814,6 +915,7 @@
     "plt.ylim((0,1))\n",
     "plt.xlabel('Class')\n",
     "plt.title('Trafic Sign prediction')\n",
+    "pwk.save_fig('05-prediction-proba')\n",
     "plt.show()\n",
     "\n",
     "# ---- Predict class\n",
@@ -823,7 +925,7 @@
     "# ---- Show result\n",
     "#\n",
     "print(\"\\nThe image :               Prediction :            Real stuff:\")\n",
-    "ooo.plot_images([x,x_meta[p], x_meta[y]], [p,p,y], range(3),  columns=3,  x_size=3, y_size=2)\n",
+    "pwk.plot_images([x,x_meta[p], x_meta[y]], [p,p,y], range(3),  columns=3,  x_size=3, y_size=2, save_as='06-prediction-images')\n",
     "\n",
     "if p==y:\n",
     "    print(\"YEEES ! that's right!\")\n",
@@ -831,6 +933,25 @@
     "    print(\"oups, that's wrong ;-(\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "End time is : Thursday 17 December 2020, 17:50:22\n",
+      "Duration is : 00:01:49 407ms\n",
+      "This notebook ends here\n"
+     ]
+    }
+   ],
+   "source": [
+    "pwk.end()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -873,7 +994,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/GTSRB/04-Data-augmentation.ipynb b/GTSRB/04-Data-augmentation.ipynb
index 3a0afb30a7658bcaf91efb2e1d1d9de10f95ab86..31b95fd06c1b0af9da199839b437e0eacafc5540 100644
--- a/GTSRB/04-Data-augmentation.ipynb
+++ b/GTSRB/04-Data-augmentation.ipynb
@@ -16,6 +16,7 @@
     "  \n",
     "The German Traffic Sign Recognition Benchmark (GTSRB) is a dataset with more than 50,000 photos of road signs from about 40 classes.  \n",
     "The final aim is to recognise them !  \n",
+    "\n",
     "Description is available there : http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset\n",
     "\n",
     "\n",
@@ -73,6 +74,12 @@
        "    margin-bottom:0;\n",
        "}\n",
        "\n",
+       "div .comment{\n",
+       "    font-size:0.8em;\n",
+       "    color:#696969;\n",
+       "}\n",
+       "\n",
+       "\n",
        "\n",
        "</style>\n",
        "\n"
@@ -84,19 +91,32 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "data": {
+      "text/markdown": [
+       "**FIDLE 2020 - Practical Work Module**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "FIDLE 2020 - Practical Work Module\n",
-      "Version              : 0.57 DEV\n",
-      "Run time             : Wednesday 9 September 2020, 16:12:12\n",
-      "TensorFlow version   : 2.2.0\n",
-      "Keras version        : 2.3.0-tf\n",
-      "Current place        : Fidle at IDRIS\n",
-      "Dataset dir          : /gpfswork/rech/mlh/commun/datasets\n",
-      "Update keras cache   : Done\n"
+      "Version              : 0.6.1 DEV\n",
+      "Notebook id          : GTS4\n",
+      "Run time             : Thursday 17 December 2020, 18:21:16\n",
+      "TensorFlow version   : 2.1.0\n",
+      "Keras version        : 2.2.4-tf\n",
+      "Datasets dir         : /gpfswork/rech/mlh/uja62cb/datasets\n",
+      "Running mode         : full\n",
+      "Update keras cache   : False\n",
+      "Save figs            : True\n",
+      "Path figs            : ./run/figs\n"
      ]
     }
    ],
@@ -111,15 +131,14 @@
     "from sklearn.metrics import confusion_matrix\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
-    "import seaborn as sn\n",
     "import os, sys, time, random\n",
     "\n",
     "from importlib import reload\n",
     "\n",
     "sys.path.append('..')\n",
-    "import fidle.pwk as ooo\n",
+    "import fidle.pwk as pwk\n",
     "\n",
-    "place, datasets_dir = ooo.init()"
+    "datasets_dir = pwk.init('GTS4')"
    ]
   },
   {
@@ -136,19 +155,8 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 3 µs, sys: 0 ns, total: 3 µs\n",
-      "Wall time: 6.2 µs\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "%%time\n",
-    "\n",
     "def read_dataset(dataset_dir, name):\n",
     "    '''Reads h5 dataset from dataset_dir\n",
     "    Args:\n",
@@ -156,7 +164,7 @@
     "        name        : dataset name, without .h5\n",
     "    Returns:    x_train,y_train,x_test,y_test data'''\n",
     "    # ---- Read dataset\n",
-    "    filename=f'{dataset_dir}/GTSRB/{name}.h5'\n",
+    "    filename=f'{dataset_dir}/GTSRB/enhanced/{name}.h5'\n",
     "    with  h5py.File(filename,'r') as f:\n",
     "        x_train = f['x_train'][:]\n",
     "        y_train = f['y_train'][:]\n",
@@ -165,7 +173,7 @@
     "\n",
     "    # ---- done\n",
     "    print('Dataset \"{}\" is loaded. ({:.1f} Mo)\\n'.format(name,os.path.getsize(filename)/(1024*1024)))\n",
-    "    return x_train,y_train,x_test,y_test\n"
+    "    return x_train,y_train,x_test,y_test"
    ]
   },
   {
@@ -220,11 +228,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ooo.mkdir('./run/models')\n",
-    "ooo.mkdir('./run/logs')\n",
+    "pwk.mkdir('./run/models')\n",
+    "pwk.mkdir('./run/logs')\n",
     "\n",
     "# ---- Callback tensorboard\n",
-    "log_dir = \"./run/logs/tb_\" + ooo.tag_now()\n",
+    "log_dir = \"./run/logs/tb_\" + pwk.tag_now()\n",
     "tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)\n",
     "\n",
     "# ---- Callback ModelCheckpoint - Save best model\n",
@@ -246,7 +254,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -271,7 +279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -295,7 +303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -320,7 +328,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -343,35 +351,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "WARNING:tensorflow:sample_weight modes were coerced from\n",
+      "  ...\n",
+      "    to  \n",
+      "  ['...']\n",
+      "Train for 612 steps, validate on 12630 samples\n",
       "Epoch 1/10\n",
-      "612/612 [==============================] - 11s 18ms/step - loss: 2.1290 - accuracy: 0.4058 - val_loss: 0.8360 - val_accuracy: 0.7564\n",
+      "  1/612 [..............................] - ETA: 32:06 - loss: 3.7490 - accuracy: 0.0000e+00WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.197418). Check your callbacks.\n",
+      "612/612 [==============================] - 11s 19ms/step - loss: 2.1350 - accuracy: 0.4047 - val_loss: 0.8193 - val_accuracy: 0.7628\n",
       "Epoch 2/10\n",
-      "612/612 [==============================] - 11s 18ms/step - loss: 0.8884 - accuracy: 0.7316 - val_loss: 0.4356 - val_accuracy: 0.8804\n",
+      "612/612 [==============================] - 8s 14ms/step - loss: 0.9029 - accuracy: 0.7225 - val_loss: 0.4106 - val_accuracy: 0.8832\n",
       "Epoch 3/10\n",
-      "612/612 [==============================] - 11s 18ms/step - loss: 0.5714 - accuracy: 0.8232 - val_loss: 0.2943 - val_accuracy: 0.9180\n",
+      "612/612 [==============================] - 8s 13ms/step - loss: 0.6049 - accuracy: 0.8151 - val_loss: 0.3155 - val_accuracy: 0.9124\n",
       "Epoch 4/10\n",
-      "612/612 [==============================] - 11s 17ms/step - loss: 0.4362 - accuracy: 0.8657 - val_loss: 0.2517 - val_accuracy: 0.9268\n",
+      "612/612 [==============================] - 8s 14ms/step - loss: 0.4579 - accuracy: 0.8573 - val_loss: 0.2479 - val_accuracy: 0.9331\n",
       "Epoch 5/10\n",
-      "612/612 [==============================] - 11s 17ms/step - loss: 0.3630 - accuracy: 0.8888 - val_loss: 0.2315 - val_accuracy: 0.9374\n",
+      "612/612 [==============================] - 8s 14ms/step - loss: 0.3652 - accuracy: 0.8873 - val_loss: 0.2529 - val_accuracy: 0.9295\n",
       "Epoch 6/10\n",
-      "612/612 [==============================] - 11s 18ms/step - loss: 0.2957 - accuracy: 0.9073 - val_loss: 0.2069 - val_accuracy: 0.9432\n",
+      "612/612 [==============================] - 8s 14ms/step - loss: 0.3122 - accuracy: 0.9031 - val_loss: 0.2002 - val_accuracy: 0.9483\n",
       "Epoch 7/10\n",
-      "612/612 [==============================] - 11s 18ms/step - loss: 0.2634 - accuracy: 0.9188 - val_loss: 0.2157 - val_accuracy: 0.9430\n",
+      "612/612 [==============================] - 8s 14ms/step - loss: 0.2673 - accuracy: 0.9142 - val_loss: 0.1842 - val_accuracy: 0.9471\n",
       "Epoch 8/10\n",
-      "612/612 [==============================] - 10s 17ms/step - loss: 0.2329 - accuracy: 0.9259 - val_loss: 0.2041 - val_accuracy: 0.9496\n",
+      "612/612 [==============================] - 8s 14ms/step - loss: 0.2355 - accuracy: 0.9259 - val_loss: 0.1583 - val_accuracy: 0.9554\n",
       "Epoch 9/10\n",
-      "612/612 [==============================] - 10s 17ms/step - loss: 0.2161 - accuracy: 0.9322 - val_loss: 0.1875 - val_accuracy: 0.9496\n",
+      "612/612 [==============================] - 8s 14ms/step - loss: 0.2159 - accuracy: 0.9312 - val_loss: 0.1779 - val_accuracy: 0.9531\n",
       "Epoch 10/10\n",
-      "612/612 [==============================] - 11s 18ms/step - loss: 0.2012 - accuracy: 0.9368 - val_loss: 0.1602 - val_accuracy: 0.9557\n",
-      "CPU times: user 2min 8s, sys: 5.08 s, total: 2min 13s\n",
-      "Wall time: 1min 50s\n"
+      "612/612 [==============================] - 8s 14ms/step - loss: 0.1935 - accuracy: 0.9385 - val_loss: 0.1789 - val_accuracy: 0.9544\n",
+      "CPU times: user 1min 42s, sys: 4.84 s, total: 1min 47s\n",
+      "Wall time: 1min 26s\n"
      ]
     }
    ],
@@ -382,7 +396,7 @@
     "epochs     = 10\n",
     "\n",
     "# ---- Shuffle train data\n",
-    "#x_train,y_train=ooo.shuffle_np_dataset(x_train,y_train)\n",
+    "#x_train,y_train=pwk.shuffle_np_dataset(x_train,y_train)\n",
     "\n",
     "# ---- Train\n",
     "#\n",
@@ -405,14 +419,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Max validation accuracy is : 0.9557\n"
+      "Max validation accuracy is : 0.9554\n"
      ]
     }
    ],
@@ -423,15 +437,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test loss      : 0.1602\n",
-      "Test accuracy  : 0.9557\n"
+      "Test loss      : 0.1789\n",
+      "Test accuracy  : 0.9544\n"
      ]
     }
    ],
@@ -452,12 +466,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "text/html": [
+       "<div class=\"comment\">Saved: ./run/figs/GTS4-01-history_0</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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zdljHRe72lZIDEekee8padhpcv6pzPe8HDnVuDYwMtAoUFulbvMQNv7XsqWmgtLKOsuo6yirrneemi33w4l9HaVU9dQ2R1S0oreqZIlNKDkR6mrW97x6y3wdbNjhDCYN9BXZu7fi4lFQoOijQV2Cs89w/p/vjFYlAfaOPsqp6yqvrmy76pcGLfmUdZYH15dX1lFXV4++mEgEGqKrtmVl0lRz0IllZWW0WORKXBMfgf7MUVi2FVcuc5eQUp7k8JS3wnBqyHHgduj24T+jyXtsDx3ZHTfnWKvc4SUCwr8C6bzpXeS9/UKCfQKC/wLCRoNLb0sOstVTXNbZoui+tqqc8pGm/tKqO8sBzVV33XZCTExPIyUwhNzOVnMwUcjJTyclMJTfkdXB7/4xkEnuo1oL+V0rUNTY29t25FqyFXdsCycAy57lk1977NdQ7DyqiH0NCQnOisFfyEC4ZabUuXDLSUN/yFsH2TR3HkZQMww9s7jQ4aqwzFE9kH1lrqW/0U1nbQFVtA5V1jc5zbQOVtc2vq+oam/cJrq9roKq2kQZf9w1ZzUpLIicjlZysVHIyUsgNPGeHXPSDyUBGalLY+Wvc1kf/gnfB5Sd237kfezPs6l/+8pcMHz4cj8cDwB133IExhoULF1JaWkpDQwN33XUXp59+eodvUVlZyemnnx72uKeffpp7770XYwwTJ07kmWeeYceOHfz4xz9m7dq1APzxj3+koKCAU045heXLlwNw7733UllZyR133MGMGTOYPn06H3zwAaeddhoHHXQQd911F/X19eTn5/Pss88yePBgKisrueaaa/j0008xxnD77bdTVlbG8uXLuf/++wF49NFHWbFiBffdd98+/2i7nbVOmd5gIrBqWeeG3nUnv9+ps18b4cQ5+yp3gNNZMNgqsP8oFaCRsGL94t5agjEh3+qdb/HZId/2c0O+4WdnpJCSFP99ZJQcxLBZs2Zx3XXXNSUHL730Em+++SbXX389/fv3p7i4mMMPP5zTTjutw8wzLS2NefPm7XXc119/zd13380HH3zAgAEDKCkpAeDaa6/lmGOOYd68efh8PiorKyktbb8KXVlZGQsWLACciZ8+/vhjjDE89thj3HPPPcyZM4c777yT7Oxsli1b1rRfSkoKEydO5J577iE5OZknn3ySP//5z/v64+se1sL2zc23Cb5Z5pS4bU9qOhw4HkZPgIMmwPADnLHt9bVOPfy6WqejXl1tYF3o61b7tDgmzPF1td1XUz5UYqIzO9yosc21BfIGdv/7Skypb/Sxo6yGPU0X8Ni8uIeTmpwYtum+dRKQk5lKv/RkEmLw2313UnIQw6ZMmcLOnTvZunUru3btIjc3l6FDh3L99dezcOFCEhIS2LJlCzt27GDIkCHtnstay0033bTXce+88w7nnHMOAwYMACAvLw+Ad955h6effhqAxMREsrOzO0wOzj///KbXmzdv5vzzz2fbtm3U19czYsQIAObPn88LL7zQtF9urjMk57jjjuOf//wnY8eOpaGhgQkTJkT40+om1sLWDSEtA8s7LtWbnuEkAwdNgNETnYto6972SclOc334STL3TWPj3olEW8nEXslGq/XB/bCw36jmjoPDD3RuO0ivV1PfyNaSaraVVrG1tJqtJc3PxRW1uDU7T1KCISs9mazUZDLTkslKSwo8J5OZmuQ8B9Y3vU519slMSyYtOf6/3XcnJQed1UbTf3c755xzeOWVV9i+fTuzZs3i2WefZdeuXXz22WckJydTVFREbW3Hs7G1dZy1ttP3u5KSkvCHTGbT+n0zM5sr0l1zzTXccMMNnHbaabz33nvccccdAG2+3+WXX85vfvMbxowZw+zZszsVT7fw+51kIHiLYNUy2FPe/jEZWXDgOCcROGgi7D/SmaTFLUlJzqOrFQKlz6msbXAu+iXVbA1JAraVVlNS2T1D5/bl4p6VlkxKUkJM3qvvLZQcxLhZs2ZxxRVXUFxczIIFC3jppZcYNGgQycnJvPvuu2zYsKFT5ykvLw973MyZMznzzDO5/vrryc/Pp6SkhLy8PGbOnMkf//hHrrvuOnw+H1VVVQwePJidO3eye/dusrKy+Oc//8mJJ4bvi1FeXk5hYSEAf/nLX5rWn3DCCTz88MM88MADgHNbITc3l8MOO4xNmzbx+eefs3Tp0n35kUXG74ct651k4JulsHo5VHbQSTAjK5AITHBuFQwb4W4yINIBay3l1fXN3/xbtQRU1HSiKmUYCQYG9k8nJzNVF/deRslBjBs3bhx79uyhsLCQoUOHctFFF3HqqadyyCGHMHnyZMaMGdOp87R13Lhx47j55ps55phjSExMZMqUKTz11FP87//+L1deeSWPP/44iYmJ/PGPf+SII47gtttu47DDDmPEiBHtvvcdd9zBueeeS2FhIYcffjjr1q0D4JZbbuGqq65i/PjxJCYmcvvtt3PWWWcBcN5557FkyZKmWw3dwu+DTWudvgKrArcJqjsY/pnV30kEgrcJCot649StEuestZRU1jU1+28JfPMPLld3cTheYoJhaE4GBXkZDM3NpCAvg4LA8+CcDJIT9X+hNzK2m4o1xBOPx2MBvF5vi/UrVqxg7NixrsTUF51yyilcf/31zJw5s819Iv6d+HywaU2gZWCZ0zJQU9X+Mf2ymxOB0ROjW7dfZB/4/Jbiipq97v1vK61ma2l1xNX2glKSEhia61z0h4Zc/AtzMxmYndZjY+ulx7XZdKOWA3FdWVkZ06ZNY9KkSe0mBp3i8zmT9wRbBlZ/1fGQvv65IcnABCcZUHOnuKTR52dHeU2Li3/weUdZTZd7+aenJDZd9FsnAfn90vpcb3xpn5KDXmbZsmVcfPHFLdalpqbyySefuBRRx3Jycli1alXXDm5shA2rnGTgm6VO+d6OKvVl5zUnAqMnwuBhSgakR1XWNrCttJrtpdVsK6t2Xgeed5TVdLn8blZacotm/9DnnMwU3eOXTlNy0MtMmDCBJUuWuB1G96qtgSUfwaIFsHJJx5P55A5oeZtgUIGSAelWjT4/O8tr2FYWSAACF//tZTVsK62msrZrHQABcjNTnVsAoRf/vEyG5mbQP11FpyQ6lBx0IJKhftKN/H5sTZUz098Ns9pPCPIGNbcKHDTBmeVPv0OJIhuYea/pW3+gBSD4vKu8Bv8+dOca0D+Ngty9WwCG5maSkao/29L99K+sHWlpaezevZv8/HwlCG6w1ukvULUHW7WH3VU1pG3dsHdiMGCwU18gmBAMaL8glEhnNPj87Cyr2avZP5gAdLX3P0BqUgJDcjMYmpPhPOdmMCTHeQzNzSBVBXrEZa4nB8aYBOCnwH8DRcAu4CXgNmttB93KwRgzGPg1cDIwGNgOzANut9aW7Utsw4YNY/PmzezaFWbiHOk+DQ3NFfpsoPOVtaTt3sGwt192lguLYNoMOPRo5zaBSISCY/+DF/0WCUBZDbvKa/ap+t+AfmktE4Cc9KZEIDczVV84JKa5nhwA9wPX4lzQ5wBjA8tTjDHHW2vb7JprjBkEfAIUAH8GlgPjgZ8ARxtjvmut7fLsM8nJyU1lf6UbWQub18Gi92DxAmdK43AGDIFjT4XDZjjJgUgH6ht9bC+rYXvwwt+qD0BNfdeG/gGkJSc2feMfmpvRIhEYkpPeKybfkb7L1eTAGDMOuAaYa609O2T9OuBBYBbwXDunuAkYDlxorX0+5PgPA8fdANzVDaFLNOzc6iQEi96DrRvD75OdC4ce47QSjBitvgMSlt9atpZU8e32CtZur2DNjgrW79xD8Z6OS4u3xQADs9MZkpO+V7P/0NwMsjPU+196L7dbDi7A+T/4QKv1jwK/BX5A+8nBsUAN8EKr9S8CTwCzUXIQW8p2O6MMFr0H69sYvpiRBVOPdBKC0RNUmlhaqG/0sX7nHicR2FHBt9vLWbdjD7VdKACUkZLU/K0/pBVgaE4GA7PT9O1f+iy3k4NDAT+wKHSltbbWGLMksL09qUCtbVXm0VrrN8bUACONMQOstcXRDFoiVFkBn/3HSQhWLXNuI7SWkgqTD3cSgnFTIVlDsgQqaupZu72iKRFYs72CjcWVna4DkGCcb//N9/2bE4GhORn0S0/Wt3+RMNxODgqAYmttuHFpW4DpxpgUa219G8d/BYw2xky21jYN7jfGTAaCBfr3B8ImB8aYK4Erf/KTn3T5A0gbamvgy4/hk3fhq8+cyoWtJSbB+KlOQjD5CGcKY+mTrLXsKK9pSgTW7HCSgZ3lHRS0CpGXlcrIwf0ZNaQ/owb3Z+Tg/gzNzSBJtf9FIuZ2cpABtDVgvTZkn7aSgweAM4CXjDHX4XRIHBdY3wAkB44Py1r7CPBIcG4F2UcN9bD8M6eF4MuPw9ciMAZGT4Jpx8DBR0JWvx4PU9zV6POzsbiSNYEkYM32ctbuqKCytnNDAw1QmJfJyEASMGqI88jLUnIpEi1uJwfVwKA2tqWF7BOWtfZ9Y8wsnM6LrwdW+4DHcFoVzgQ6mH9X9onfByu/dBKCzz9se4bDkWOcFoJDjoKc/J6MUFxUXdfo3A7YURFoFShnw67KTs8PkJyYwIhB/VokAiMG9VchIJFu5vb/sK3Ad4wxqWFuLRTi3HJoq9UAAGvty8aYucAEoB/wjbV2pzFmEdAIfNsdgfdp1sLaFfDJe/Dp+1BRGn6/YC2Cacc4VQql1wpOF+x0EKwItAqUs7Wk8yOJs9KSm1oBRg3uzwFDshmWn6nbAiIucDs5WAycAEwD3g+uNMakAZOBhZ05ibXWB4T2ORgCTAEW7EudAwkRSS2CaYGhh8NUI6I38vmdYYNrdlS0uDVQVtVuHt/C4Ox0Rg7uzwFD+je1CgzKTlfnQJEY4XZy8CJOrYLrCEkOgCtw+go8G1xhjBkFJFtrV7Z3wkDFxQeBRODuaAfc53S2FsEhRzsJwcgxqkXQy2wrreaLdcWs2V7Omh0VEQ0bTDCG4QOzWiQCIwf31wRBIjHO1eTAWrvMGPMH4OrArYE3aK6QuICWNQ7exil41HTlMcZk4QyDnAesA7JxaidMBW621r7bE5+j1ynbDYsXOgnBum/C75ORBQd/16lWOHqiahH0MmVVdSz8ehvvLN/Cis2dq0KenpLIyMAogVFDnNsCwwdmqVaASBxyu+UAnFaD9cCVOPMjFAMP4cyt0FGvpXpgKXAhMBSn8+Ji4ERr7b+7K+BeqWpPcy2Cb5aqFkEfVNvg4+NvdvD28i18tmYXvnamFWw9bPCAIdkMzcsgQa1GIr2C68lBoL/AnMCjvf2KwqyrxymxLPti01q47yZnOuTWVIugV/P5LUvWF/POsi18sHJ72LkGEhMMU0cOYPz+eU0JgYYNivRuricH4rKGenj0dy0TA9Ui6NWstXy7vYJ3lm3hva+2UlIZvtTI2GE5HDe+kKO/M5SczNQejlJE3KTkoK+b+xRs3eC8TkmFMy91pkFWLYJeZ3tpNe8s38I7y7awaXf42dCH5WVy3IRCjh1fQEFeZg9HKCKxQslBX7ZiCbw1t3n5vCthxsnuxSNRV1Fdz4Kvt/Hu8i18tSl8PYqczBRmjCvguAmFHDQ0W8MJRUTJQZ9VXQlPhnTzGH8oHHOSe/FI1NQ1+Ph41Q7eWb6VT7/dSWOYjoVpyYl8d8wQjptQyJQR+SQmqNCQiDRTctBXPfsHKNnlvM7qD5dep/oEcczntyzdsJu3l23hgxXbqa7fe56CBGOYOmoAx40vZProwaSl6L+/iISnvw590aIFzmyJQRdfqz4Gcchay9odFbwd6Fi4e0/4joWjC3KYOaGAY8YVqGOhiHSKkoO+prQY/vpQ8/L042Hqke7FIxHbUVbNu8u38vayLWwsDj/RVUFeBseNL+S48YUU5qtjoYhERslBX+L3w5P3Nc+cmD8IZv3E3ZikUypq6vnPiu28vWwLyzeWhN0nOyPYsbCA0QU56lgoIl2m5KAvee+f8PXnzmtj4Ec3Qoa+Vcaq+kYfn6zeyTvLtrBodfiOhalJCUwfM4Tjxhdy8MgBmsFQRKJCyUFfsW0TvPxY8/IJZztzIkhM8VunY+G7y7by/optVNWF61gIU0YOZOb4AqaPGUK6OhaKSJTpr0pf0NgIj6/e6UsAACAASURBVN3jVEMEKCyCM37oakjS0todTsXCd7/aSnFFbdh9DhqazXETCjlm3FCVLxaRbqXkoC/453OwYbXzOikZLv+FJk2KATvLa3h3+VbeXb6FdTv3hN1nSE46x01wOhbuNyCrhyMUkb5KyUFvt2YFvP5C8/KZl8B+I92Lp4+rqm1g4YptvLNsC8s2lBBu3sP+6ckcE6hYOLZQHQtFpOcpOejNamvg8d9DcObrgybA9850N6Y+qrK2gbkfr2PeonVUh+lHkJKUwBEHDea4CYUcMmqgOhaKiKuUHPRmLz8KO7c6r9Mz4LIbISHR3Zj6mKraBuZ9so65n6zbq3NhgoHJIwIVC8cMJjM12aUoRURaUnLQWy39BBa80bx8oQfyB7sXTx9TVdfA3z5Zz9xP1lJZ2zIpGJaXyUlT92fGuALy+6ljoYjEHiUHvdGeMnjqgeblqUfC4TPdi6cPqapr4O+L1vPqx+uorG1osW1YXiYXHX0gx4wrIDFB/QhEJHYpOehtrIWnH4SKwPS82XnO3Anq1Natqusa+fvi9bz68Vr21LRMCgryMrjoqAM5dnyBZj8Ukbig5KC3+fAt+OLD5uXZNzizLkq3qK5r5B+L1/NKmKRgaK6TFBw3QUmBiMQXJQe9ya7t8PyfmpePPQXGH+JePL1YTX0j/1i8gVc+WkNFmKTgwqMOYOaEQiUFIhKXlBz0Fn4fPHEv1FY7y4ML4ZzL3Y2pF6qtb+S1Tzfw8kdrKa+ub7FtSE46Fx51IDMnFGoooojENSUHvcW/58Lq5c7rhAS47BeQqp7w0VLb4OO1T9fz8od7JwWDc9K58MgDOH7iMCUFItIrKDnoDTathb/9pXn5lAth5Gj34ulFaht8vP7ZBl76cA1lVS2TgkHZ6Vxw5AF8b9IwkpUUiEgvouQg3jXUO5Mq+QJj6UeMhpNmuRtTL1DX4OP1zzfy8odrKKmsa7FtYP80LjjyAE6YvJ+SAhHplZQcxLu5T8GW9c7rlFS47OeQpF9rV9U1+Hjj8428FCYpGBBMCiYNIyVJlSZFpPfSVSSerVgCb81tXj73ChgyzL144lh9o49/fb6RFz4IkxT0S2PWkaP4r8n7KSkQkT5ByUG8qq6EJ+c0L48/BGac7F48caq+0cebX2zixQ/WULyntsW2/H6pnP/dA/j+FCUFItK3KDmIV895oWSX8zqzH1x6vaogRqC+0ce/l2zmhQ++pbiiZVKQl5XK+d8dxUkH76+kQET6JCUH8WjxQvj4neblH/4UcvLdiyeONPj8/HvJJl74z7fsCpMUnDfdSQpSk5UUiEjfpeQg3pQWwzMPNi8fcbwzsZK0q8Hn560vN/P8f75lZ3lNi225mamcN30kJ08drqRARAQlB/HFWnjqPqe/AUDeILjgJ+7GFOMafX7eWrqZ59//lh2tkoKczBTOPWIUpxwynDQlBSIiTZQcxJN3X4OvPndeGwOX3QgZme7GFKMafX7mL93Mc//5lh1lLZOC7IwUzp0+klOnDictRf8FRERa01/GeLFtE7zyePPyCWfB6InuxROjfH4/85du4fn/fMu20uoW27IzUjjniJGcdoiSAhGR9ugvZDxobITH74H6wPj7wiI44xJXQ4o1Pr+fd5Zt5dn3V++VFPRPT+acI0Zx2qHDSVdSICLSIf2ljAevPw/rVzuvk5Lh8l9Acoq7McWIYFLw3H9Ws7WkZVLQLz2Zcw4fyWmHFpGRqn/qIiKdpb+YsW7NCic5CDrjh7DfSPfiiSHvr9jGk+98w5aSqhbrs9KSOfvwEZw+rYjM1GSXohMRiV9KDmJZXS08/nvw+53lgyY4fQ2Efyxezx/e/KrFuqy0JM4+fKSSAhGRfaTkIJa99Cjs3Oq8TsuAH/0MEjTkbuHX2/CGJAaZqUmcdfhIzpxWRGaakgIRkX2l5CBWLV0EC15vXr7gJzBgiHvxxIgl64u5529LsIHl0QU53H3hNPqlKykQEYkWTUYfi/aUw1P3Ny8f/F2Yfrx78cSINdvL+fWLn9Hgc26zDMvP5M4LDlViICISZa4nB8aYBGPM9caYlcaYWmPMJmPMHGNMp6r7GGOyjDE3GWOWGWP2GGOKjTEfGmMuNSYOZyKyFp7+X6godZb758LF1/b5SZW2lVZzy/OLqa5vBJwZE39z4TSyMzRqQ0Qk2lxPDoD7gfuAr4FrgJeBa4HXjDHtxhfY/i/gTmAx8DPgLiAReBL4bfeF3U0+nA9ffNi8fOn10C/bvXhiQFlVHTc99wkllU6dh8zUJO6+YBqDczJcjkxEpHdytc+BMWYcTkIw11p7dsj6dcCDwCzguXZOcRhwJPCAtfb6kOO9wErgv4FfdkPo3aN4Ozz/x+blY06GidPciycGVNc1cuvzi5tqGCQnJvDr8w9hxOD+LkcmItJ7ud1ycAFggAdarX8UqAZ+0MHxwSvE1tCV1tp6oBio2uuIWOX3weP3Qm2gkM+gAjjvCndjclmDz8+dr3zGqm3lACQYuOmsKUwYrumpRUS6k9ujFQ4F/MCi0JXW2lpjzJLA9vYsAsqAXxhj1gOfAOnApcBU4MdRjrf7/N9cWL3ceZ2Q4FRBTE1zNyYX+a1lzj++5PO1xU3rrjlpAtPHaMSGiEh3c7vloAAottbWhdm2BRhgjGmzx5m1thQ4DSgBXgI24NxOuAo421r7aHtvboy50hjzaVeDj5pNa2HeX5qXT74ARo5xLx6XWWt59K0VvLu8uUHo4mMO4qSD93cxKhGRvsPt5CADCJcYANSG7NOeSmA5cC9wFnA58C3wnDHme+0daK19xFp7SOfD7QYN9fDYPeBzeuFTdJCTHPRhr3y0lrmfrGtaPnnq/lx01AEuRiQi0re4fVuhGhjUxra0kH3CMsZMAD4ErrfW/ilk/fM4CcOjxphR1lpflOKNvnl/gS3rndcpqXD5zyHJ7V+Le976cjOPvb2yafm7Y4Zw1YnjicdRqSIi8crtloOtOLcOUsNsK8S55VDfzvHX4yQRL4eutNZWA68Dw4Gi6ITaDVZ+CW/NbV4+93IYsp978bhs0eqd3Pfa0qblicPz+NWZk0lMUGIgItKT3E4OFgdiaDFezxiTBkwGOuoPUBh4DjfhQFKr59hSXQVP3OsUPQIYNxVmnOJuTC5auaWUu179HH/g5zFiUD9uP+8QUpI0l4SISE9zOzl4EbDAda3WX4HT1+DZ4ApjzChjTOteel8Hni8NXWmMyQFOB0qBNVGMN3qe90LJLud1Zj+YfUOfrYK4sbiSW59fTF2Dc/dncHY6d184jSxNoiQi4gpXv1Vba5cZY/4AXG2MmQu8AYzFqZC4gJYFkN7GuU0QegV9APgh8NtA/4MPgDyc5GIocJW1trHbP0ikPl0IH73dvHzxtZDTN8fuF1fUcvNzi6ioaQAgOyOF31w0jfx+fXcYp4iI22Khyf06YD1wJXAyTvGih4DbrLX+9g601m4wxkwDbgNm4lRUrAGWAD+z1s5t73hXlO2GZx5qXj5iJhxylHvxuKiytoGbn1vEzvIaAFKTE/mfWYcyLD/L5chERPo215ODwEiCOYFHe/sVtbF+DXBJ9CPrBtbCk/dB1R5nOW8QXOBxNyaX1DX4uP3FT1m/y/lZJCYYbj3nYMYU5rgcmYiIuN3noG9575/w1WfOa2PgRz+DjE5NPtmr+Px+fjvvC5ZvLGla97NTJ3LoAW2NahURkZ6k5KCnbN8ELz/WvPy9s2DMJPficYm1lof/9RUffrOjad0Vx49l5sRhLkYlIiKhlBz0hMZGeOz3UB8oBllYBGfGx52QaHtmwWre+Hxj0/I5R4zknCNGuhiRiIi0puSgJ7z+PKxf5bxOTHImVUpuc8qIXuu1Tzfw7Purm5ZnTijkspl9dw4JEZFYpeSgu61d6SQHQWdcAvv1vW/K76/Yxh/+tbxp+ZBRA7nh1Ikk9NHaDiIisUzJQXeqq4XHfw/+wIjMA8fDf53lbkwu+HL9bn43bwmBWpAcVJDNLeccTFKi/vmJiMQi/XXuTi8/Bju2OK/TMuCyGyGhb5UDXrO9gjte+pQGn5MgDcvL5M5Zh5Ke4vooWhERaYOSg+6ybLEzdDHogh/DgCHuxeOC7aXV3PL8IqrrnCKVeVmp3H3RNHIyw82zJSIisULJQXfYUw5P3de8PGU6TP+ee/G4oKyqjpueW0RJpTNCIyM1ibsvnMaQnAyXIxMRkY4oOYg2a+GZB6G81Fnunws/vLZPTapUU9/IrS8sZktJFQDJiQn8+vxDGDm4v8uRiYhIZyg5iLaP3obPP2hevvQ66Nd3SgI3+Pzc+crnrNpaDjizZP3qzMlMHN43J5YSEYlHSg6iye+DN15sXj7mJJh4mHvx9DC/tdz/2lI+W7Orad3VJ43nyLFDXYxKREQi1enkwOPxTOnOQHqFhET41RxnlsVBBXDuFW5H1KMem7+Ct5dtaVr+wdEHcsrU4S5GJCIiXRHJeLLPPB7PYuDPwAter7e6m2KKb1n94b9vgsoKSEt3O5oe8/JHa3j143VNyycdvD8/OPpAFyMSEZGuiuS2whvAwcCjwFaPx/OQx+OZ0D1hxTljoF+221H0mPlLN/PY/JVNy98dPZirvz8e04c6YYqI9CadTg68Xu8pQBFwJ1ABXAUs8Xg8H3g8nh96PJ607glRYtnib3dy32tLm5Yn7J/Hr86aQmKCEgMRkXhlrLUd79WKx+NJAE4G/hv4L5wkowx4GnjE6/WuiGaQ3c3j8VgAr9frdihxZeWWUn7xzCfUNfgAGDGoH/decgRZackuRyYiIp3Q5re4LiUHoTweTyFwOfBjYFBg9fvAw16v95V9OnkPUXIQuU3Fldzw1IdU1DQAMDg7nftnTye/nxqQRETiRJvJQTSGMo4DJgL5gTfaDRwFvOjxeD7zeDxFUXgPiSG799Ry83OLmhKD/unJ3H3hNCUGIiK9RJdmv/F4PIOAHwFX4PRDAHgb8AL/AIYDP8e57eAFTtrXQCU2VNY2cPNzi9hRXgNAanIid15wKPsNyHI5MhERiZaIkgOPxzMT54J/OpAMlAIPAH/0er3fhuy6ztndkwqcF6VYxWX1jT7uePFT1u3cA0BiguHWcw5mTGGuy5GJiEg0dTo58Hg8q4GROLcOPsVpEXjB6/XWtnPYaiBznyKUmODzW347bwnLNpY0rbv+lIkcesCgdo4SEZF4FEnLQSHwFOD1er2fdfKYZ4GPIg1KYou1lof/tZwPVm5vWnf5zDF8b9IwF6MSEZHuEklyUOD1essiObnX690EbIosJIk1zy5czRufb2xaPuvwEZxzxEgXIxIRke4USRGkiBID6R1e/2wDzyxc3bR83PgCrjh+rKofioj0YpH0OfgxzgiEo7xe79Yw2wuBhcBvvF7v49ELUdzywcrtPPyv5U3LU0cO4IbTJpGgxEBEpFeLpM7BhcC2cIkBgNfr3QJsBn4QjcDEXcs27Ob/zf0Cf6BG1kFDs7n13KkkJ2qWbxGR3i6Sv/SjgS872GcpMKbr4UgsWLejgttf/JQGnx+AwrxM7rzgUNJTulQWQ0RE4kwkyUE2zvwJ7akANOg9jm0vq+am5xZRVdcIQF5WKr+5cBo5makuRyYiIj0lkuRgG06Z5PZMBHZ1PRxxU3l1PTc/u4iSyjoAMlKTuOuCQxmSm+FyZCIi0pMiSQ7eBU70eDxHhtvo8XiOAr6PU0ZZ4kxtfSO3Pr+YzSVVACQnJnDHeYcwaki2y5GJiEhPi+Qm8u+A84H5Ho/HC7wJbMEpjvR94CdAXWA/iSM+v5+7Xv2cb7Y6d40M8MszJjOpKN/dwERExBWR1Dn4BmeehDrgOuBfOB0Q/wX8FKgFzvV6vSu6IU7pRgu+2sbib5vvBl31/fEc9Z2hLkYkIiJuimhcmtfrfR1nfoWfA6/i3EJ4FbgRGOX1et+IeoTS7RZ9u7Pp9RnTijj1kOEuRiMiIm6LeGya1+vdDczphljEBdZalqzb3bR8/ETNlyAi0tepok0ft2FXJaVVzuiEfunJjBrS3+WIRETEbV2qauPxeIbhdEQMO/jd6/Uu3JegpOd8sa646fXkonyVRhYRkciSA4/HcwJwPx1XQUzsckTSo0KTgykjBrgYiYiIxIpO31bweDyHAf8EcoCHcUa8LQQeBVYGll8D/if6YUp3aPT5WbahpGl5spIDEREhsj4HN+EMVzzU6/X+NLDuXa/X+2NgPHAncDzwSnRDlO7yzdYyquudMsmDs9MpUCVEEREhsuTgCOAfrWZlTADwer3W6/XeDqwAfh1JAMaYBGPM9caYlcaYWmPMJmPMHGNMZieOvcMYY9t5NEQSS18TOkph8oh8jPobiIgIkfU5yAY2hizXA60v4B/gTO0cifuBa4F5OEMkxwaWpxhjjrfW+ts5di7wbZj1E3FqMbwWYSx9ypL16m8gIiJ7iyQ52EnLGRd3AqNa7ZMMpHf2hMaYccA1wFxr7dkh69cBDwKzgOfaOt5auxSnSmPr8/458PLxzsbS19TWN/L1ptKm5clFSg5ERMQRyW2FVbRMBj4GvufxeA4C8Hg8Q4CzgdURnPMCnI6MD7Ra/yhQDfwggnMBYIzJwEkqtuDM/yBhLN9USqPfAlA0sB+5WZqSWUREHJEkB28Cx3g8nrzA8v/itBJ84fF4FuOMWBjI3hf69hwK+IFFoSuttbXAksD2SJ0H9AeetNb6unB8n9BiCONItRqIiEizSJKDPwNHAw0AXq/3A+BcYB3OaIVtwE+8Xu/TEZyzACi21taF2bYFGGCMSYngfACXARZ4oqMdjTFXGmM+jfD8vcKSVsWPREREgoy11r03N2YNkGyt3T/MtqeBi4Fca21ZJ883GqcF421r7fGdjcPj8VgAr9fb2UPiWnl1PefNeQuABGN49ecnkJHapWKZIiISv9ocohZJEaQnPB7P9dGJp0k1bZRgBtJC9umsywLPj3U5oj7gy/XNQxjHFOYoMRARkRYiua1wITAoyu+/FefWQbgEoRDnlkN9Z05kjEkCfgiU4AyLlDaoZLKIiLQnkuRgPdFPDhYHYpgWutIYkwZMBiLpD3AqMBh4po0+DBLQMjlQfwMREWkpkuTgOeD7Ho8nt8M9O+9FnM6D17VafwWQATwbXGGMGWWMaW/Cp+AtBdU2aMf2smq2lTp3alKTExkzLJq/ThER6Q0iSQ7+H843+Xc9Hs8pHo9n8L6+ubV2GfAH4CxjzFxjzOXGmDnAfcACWhZAehunPPNejDEFwInAosA5pQ2hoxQm7J9HcmIk/wRERKQviKQnWm3g2QB/B/B4POH2s16vN5LzXodzy+JK4GSgGHgIuK2D0smhLsWZJlodETvwRch8CupvICIi4URyEX8f5xZAVAUKFc0JPNrbr6idbb8BfhPdyHofa22r+RTU30BERPbW6eTA6/XO6MY4pAes37mHsipn8Ed2RgojBvd3OSIREYlFuuHch4SOUphUlE+CpmgWEZEwlBz0IV+sV38DERHpWKdvK3g8nts6uav1er13djEe6SaNPj/LNig5EBGRjkXSIfGOdrYFOyqawGslBzHmm61l1NQ7k1QOzklnaG6GyxGJiEisiiQ5OLaN9Tk4UytfC7wO/Glfg5Lo+2KtSiaLiEjnRDJaYUE7m//u8XheBBYBL+xzVBJ1LfobFCk5EBGRtkWtQ6LX612GUxzppmidU6Kjpr6RFZtLm5Ynq76BiIi0I9qjFTYC46N8TtlHyzeW4PM73UJGDOpHTmZbs2SLiIhEPzk4DKiJ8jllH2mKZhERiUQkQxn3b+cc++HMpHgk8FIU4pIo0nwKIiISiUhGK6yn/bkVDLAauHFfApLoKquqY+2OCgASEwwThue5HJGIiMS6SJKDpwmfHPiBUpyRCn/3er110QhMomNJyCiFMYU5pKdE8isXEZG+KJKhjJd2YxzSTZaov4GIiERIcyv0cuqMKCIikYqkQ+Io4LvA616vd3eY7QOAk4D/eL3etdELUbpqW2k128ucwSNpyYmMLsxxOSIREYkHkbQc/AqYA1S0sb0cuBf4+b4GJdER2mowcXgeyYlqKBIRkY5FcrWYAcz3er0N4TYG1r8FHBeFuCQKQvsbTNYtBRER6aRIkoNCnOGM7dkIFHQ5Gokav7UtRiqov4GIiHRWJMlBPdC/g3360X4tBOkh63bsoby6HoDsjBSKBvVzOSIREYkXkSQHy4GTPR5PcriNHo8nBTgF+Doagcm+WbI+5JZCUT4JxrgYjYiIxJNIkoO/AvsDL3k8niGhGwLLL+GUUX46euFJV7UYwjhStxRERKTzIimX9whwNnA68D2Px7MU2ILTF2EikAHMB/4U7SAlMg0+P8s2lDQtTylSciAiIp3X6ZYDr9frx6lj8FugATgcJ1k4HKc/wm+AkwP7iYtWbimjtsEHwNDcDIbkZrgckYiIxJOICu0Hhive5PF4bgHGADlAGbBSSUHsaDGEsSjfxUhERCQedWkWnkAioI6HMUolk0VEZF+ofHIvU13XyMotZU3Lk9RyICIiEVL55F5m2cbd+PxOqYlRg/uTk5nqckQiIhJvVD65l1myrrlRZ/IItRqIiEjkVD65l1F/AxER2Vcqn9yLlFXVsW7nHgCSEgzj989zOSIREYlHKp/ci4TeUhgzLJf0lC4NRhERkT5O5ZN7Ed1SEBGRaFD55F7CWtsqOVBnRBER6RqVT+4ltpVWs6O8BoD0lERGF+S4HJGIiMSrSG4r4PV6G7xe701APjAeODLwPMDr9d4C+Dwez+nRD1M6smR9c3+DCcPzSUqM6FcrIiLSJCrlkz0ez3CPx3M5MBsYCiRGJzzprM/Xqr+BiIhER5e7s3s8nkSc/gdXAsfjtEJYnH4H0oP81vLl+pDkQCWTRURkH0ScHHg8npHA5cClwODA6mLgz8DjXq93Q9Sik05Zu72CihqncGVOZgpFg/q5HJGIiMSzTiUHHo8nCTgTp5XgWJxWgnpgLk6nxL97vd7buhKAMSYB+Cnw30ARsAtnWORt1tqqTp4jD7gJOAMYBuzBqctwm7X2/a7EFU++WB86RfMAjDEuRiMiIvGu3eTA4/EcCFwBXAIMAAzwOfAU8JzX6y3xeDz7OjrhfuBaYB7OxE5jA8tTjDHHW2vbPb8xZjjwHpAFPA6sArJxhlcW7mNscSG0+JGGMIqIyL7qqOXgG5x+BDtxLuJPer3er6L15saYccA1wFxr7dkh69cBDwKzgOc6OM1fcT7HRGvttmjFFi8afH6WbSxpWlZnRBER2VedGe9mgTeAV6KZGARcgNMa8UCr9Y8C1cAP2jvYGHM0znDKe6y124wxycaYjCjHGNNWbi6lrsEHwNDcDAbn9KmPLyIi3aCj5OBWYAPOEMUPPB7P1x6P5xcej2dolN7/UMAPLApdaa2tBZYEtrfnpMDzRmPMa0ANUGWMWWWMaTex6C0+V8lkERGJsnaTA6/Xe7fX6x0FfB+nT8AonAqJGz0ez+sej+e8fXz/AqDYWlsXZtsWYIAxJqWd40cHnh8F8nD6RlyG01nyGWPM7H2ML+a17G+g5EBERPZdp8roeb3ef3u93nNwJla6Cac14fvA8zi3HSZ7PJ6pXXj/DCBcYgBQG7JPW4Jj9vYAx1prn7XWPgEcBZQBvwmMhgjLGHOlMebTCGOOGVV1DazcUgY492Ymqb6BiIhEQaTlk3d6vd7fer3eA4DvAa/gzLNwCLDI4/F84fF4rorglNVAahvb0kL2aUtN4Pl5a219cKW1thT4BzCE5taFvVhrH7HWHtL5cGPLsg0l+K0FYNSQ/mRntNfIIiIi0jldLsDv9Xrf9nq95+PUFfgFzhDCSTijDDprK86tg3AJQiHOLYf6MNuCNgeet4fZFhy5kBtBPHFFUzSLiEh32OfZebxeb7HX673X6/WOBY7DudXQWYsDMUwLXWmMSQMmAx01+Qc7Mg4Lsy24bmcE8cSV0P4Gk5UciIhIlER16j6v1/ue1+uNZJTAizh9Fq5rtf4KnL4GzwZXGGNGGWPGtNrvbzj9DX5gjMkK2XcoTrXE1dbabyOIJ26UVNayftceAJISDOP367UNJCIi0sO6PPFSNFhrlxlj/gBcbYyZi1NPIVghcQEtCyC9DQzH6XsXPL7UGHMjzrwOHxtjngBSgJ8Enq/ukQ/igtBWg+/sl0taiqu/ShER6UVi4YpyHbAeZ96Gk3EmcXoIZ16EDkszW2sfMcYU4/R7uBOnbsJHwIXW2g+6K2i3LWk1n4KIiEi0uJ4cWGt9OHMqzOlgv6J2ts3FmQSqT7DW8kVofYORSg5ERCR6otrnQHrG1tJqdpY7ozgzUpIYXZDtckQiItKbKDmIQ6FDGCcOzyMxQb9GERGJHl1V4tCSkORAQxhFRCTalBzEGb+1LFmv+RRERKT7KDmIM2u2V7CnpgGAvKxUhg/M6uAIERGRyCg5iDOh/Q0mF+VjjGlnbxERkcgpOYgz6m8gIiLdTclBHKlv9LF8Y0nTsvobiIhId1ByEEdWbC6jrtEpGlmYl8mg7HSXIxIRkd5IyUEcaXlLId/FSEREpDdTchBHQjsj6paCiIh0FyUHcaKqtoFvtpYDzrSUk4rUciAiIt1DyUGcWLqhBL+1ABwwNJv+6SkuRyQiIr2VkoM40XKKZrUaiIhI91FyECc+XxvS30BTNIuISDdSchAHdu+pZWNxJQDJiQmM2y/P5YhERKQ3U3IQB0KHMI4dlkNacqKL0YiISG+n5CAOfKFZGEVEpAcpOYhx1toWLQdKDkREpLspOYhxW0qq2FVRC0BGahIHFWS7HJGIiPR2Sg5i3Bfrmm8pTByeT2KCfmUiItK9dKWJcaElkw/WfAoiItIDlBzEMJ/f8mVIZ8TJ6m8gIiI9QMlBDFuzvZzK2gYA8rJS2X9AlssRiYhIX6DkIIaF9jeYMmIAxhgXoxERkb5CLzooEQAAEmhJREFUyUEM0xTNIiLiBiUHMaq+0cdXm0qalierM6KIiPQQJQcx6utNpdQ3+gEYlpfJwP7pLkckIiJ9hZKDGNXiloJmYRQRkR6k5CBGLQkdwlikWwoiItJzlBzEoMraBlZtLQPAAJOK1HIgIiI9R8lBDFq6YTd+67w+cGg2/dKT3Q1IRET6FCUHMUhDGEVExE1KDmLQknUqmSwiIu5RchBjiitq2VhcCUByYgLj9st1OSIREelrlBzEmCXrm28pjNsvl9TkRBejERGRvkjJQYwJ7W+gWwoiIuIGJQcxxFrbor+BOiOKiIgblBzEkM27qyjeUwtAZmoSBw7NdjkiERHpi5QcxJDQWwqTivJJTNAUzSIi0vNcTw6MMQnGmOuNMSuNMbXGmE3GmDnGmMxOHm/beFR2d+zRtkT9DUREJAYkuR0AcD9wLTAPmAOMDSxPMcYcb631d+Ic7wOPtFrXENUou5nPb/lyg/obiIiI+1xNDowx44BrgLnW2rND1q8DHgRmAc914lRrrbV/7Z4oe8a328uprG0EIL9fKvvld6rhREREJOrcvq1wAc7cQg+0Wv8oUA38oLMnMsakGGOyohhbj/pibcuSycaov4GIiLjD7eTgUMAPLApdaa2tBZYEtnfGOTjJxB5jzE5jzEPGmLjq6v9FSPGjyZqFUUREXOR2n4MCoNhaWxdm2xZgujEmxVpb3845FgEvA98C/YGTgKuBY4wx0621Md8xsa7Bx1cbS5uW1d9ARETc5HbLQQYQLjEAqA3Zp03W2sOstfdaa/9mrX3aWjsLuBmYAPy0vWONMVcaYz6NNOho+3pzKQ0+p9/lfvmZDOif5nJEIiLSl7mdHFQDqW1sSwvZJ1K/B+qBk9vbyVr7iLX2kC6cP6pC+xtoCKOIiLjN7eRgKzDAGBMuQSjEueXQ3i2FsKy1DcFz72N8PSK0v8HBSg5ERMRlbicHiwMxTAtdaYxJAyYDXWryDxw/DNixrwF2tz01DXy7rRyABAMTi/JdjkhERPo6t5ODFwELXNdq/RU4fQ2eDa4wxowyxowJ3ckY09aV9E6czpavRS/U7rF0w2781nl94NAcstKS3Q1IRET6PFdHK1hrlxlj/gBcbYyZC7xBc4XEBbQsgPQ2MBynLkLQLcaYw4F3gY1AFs5ohWOBT4CHuv1D7KOWUzSr1UBERNzn9lBGcFoN1gNX4nQgLMa5qN/WidLJ7wHfAS4B8gEfsBpntMJ9gXoJMS00OVB/A/n/27v/YLnK+o7j729+E0JCQlICARIp5bdCUkBqKZbqUKu12KEU0ShSkaEHccg40g5YCOBU25Efw4+DJUNbRaBghwhYZcRaqIIKKVxBkJ/mQiAEEgLB/A7J0z/OucnuZW+SC7t79m7er5k75+5zzp773Z079372eZ7zHEnqBJWHg5TSRop7Kly6jeNmNGi7Hbi9NZW13tI31vDCq6sAGDViGAfvPbHiiiRJqn7OwQ6tZ+GWGy0dsvckRo0YXmE1kiQVDAcVqh1SmOl8A0lShzAcVCSl1G8yovMNJEmdwXBQkUXLVrJ8ZbFy9LgxI9hv6pC6T5QkqYsZDipS22tw2PTdGD7MWzRLkjqD4aAiD9dMRpy5r0MKkqTOYTiowMZNm3jkuS3h4PAZhgNJUucwHFTg6ZdWsGrdmwBMHj+GvXbbueKKJEnawnBQgbohhRmTiXC+gSSpcxgOKuD6BpKkTmY4aLO1Gzby+KLXNj92fQNJUqcxHLTZY4uWs2FjcT+pfSaPY7ddxlRckSRJ9QwHbVZ7P4WZ9hpIkjqQ4aDN6pdMdr6BJKnzGA7a6I0163nmpRUADItiZURJkjqN4aCNHul9lVR+v/+eu7LzmJGV1iNJUiOGgzaqv4TR+QaSpM5kOGij2smIzjeQJHUqw0GbvLJiDS8sXwXA6BHDOHiviRVXJElSY4aDNunp3TKkcMg+kxg1YniF1UiSNDDDQZs8/BvnG0iShgbDQRuklOjpdfEjSdLQYDhog+eWrmT5ynUA7LLTSPbdfXzFFUmSNDDDQRvUzjc4bPpuDB/mLZolSZ3LcNAGtfMNvAujJKnTGQ5abOOmTTzy/PLNj2cZDiRJHc5w0GJPLV7B6nVvAjBl/Bj2nDS24ookSdo6w0GL9V8yOcL5BpKkzmY4aDHvpyBJGmoMBy20dsNGfv3C65sfez8FSdJQYDhooceeX86GjZsAmD5lHJPGjam4IkmSts1w0EIOKUiShiLDQQsZDiRJQ5HhoEXeWL2eZ5e8AcCwCN49fVLFFUmStH0MBy3yy95XSeX3B0ybwM6jR1ZajyRJ28tw0CIP1Q4pzHBIQZI0dBgOWqT2Zksz9zUcSJKGDsNBC7z8+moWL18NwOgRwzhw2q4VVyRJ0vYzHLRAT++rm78/dPpujBoxvMJqJEkaHMNBC9RdwjjDVRElSUNL5eEgIoZFxJyIeCIi1kbEooi4NCJ2fhvnGhsRCyMiRcTVrah3W1JK9Czc0nPg+gaSpKGm8nAAXA5cBjwOnA18B/gCcGdEDLa+i4FK/xs/t3Qlr61aB8D4nUay79TxVZYjSdKgjajyh0fEIRSB4LaU0ok17QuBK4GPAzdt57lmAecA5wKXNr/a7VN7CeNhMyYzzFs0S5KGmKp7Dk4BAriiX/s8YDUwe3tOEhHDy+fcBdzWzAIHq6duyWTnG0iShp5Kew6AI4FNwAO1jSmltRHRU+7fHnOAA4ETt3Vgq2V/eghH7787Dy9cxqx9p1RdjiRJg1Z1z8GewLKU0roG+14EJkfEqK2dICLeBVwEXJxS6h3MD4+IMyJiwWCesy1TJ47lw7P24fwTZ7HHxLHNPLUkSW1RdTgYCzQKBgBra47ZmmuBhRSTGgclpXRdSumIwT5PkqRuVvWwwmrgdwbYN6bmmIYiYjZwPHBsSmlDk2uTJGmHVHXPwWKKoYPRDfZNoxhyWN/oieVzLgO+DyyJiP0iYj9gennIhLLNtYslSRqEqsPBg2UNR9U2RsQY4HBga/MBdgKmAB8Bnq75uqfcP7t8fHpTK5YkqctVPaxwC3AexfoEP6lp/xzFXIMb+xoi4neBkSmlJ8qmVcBJDc45BcgpLmu8Hnik+WVLktS9Kg0HKaVHI+Ia4PMRcRvFEMFBFCsk3kv9Akj/TTFkEOVzNwD/2f+cETGj/PbZlNJb9kuSpK2ruucAil6DXuAMiiGCZcBVwAUppU0V1iVJ0g6p8nCQUtpIsdzxVpc8TinN2M7z9VL2LkiSpMGrekKiJEnqMIYDSZJUx3AgSZLqVD7noJNkWVZ1CZIktUvK87zhHD17DiRJUp1IKVVdQ1eKiAXe1Kn1fJ/bw/e5fXyv28P3eevsOZAkSXUMB5IkqY7hoHWuq7qAHYTvc3v4PreP73V7+D5vhXMOJElSHXsOJElSHcOBJEmqYzhokogYFhFzIuKJiFgbEYsi4tKI2Lnq2rpJROwfERdHxM8jYmlE/DYieiLifN/r1oqIsRGxMCJSRFxddT3dJCImRcTXI+KZ8u/H0oj4n4j4o6pr6xYRMS4izouIR8u/G8si4v6I+ExEeLO+flwhsXkuB74AzKe4w+RB5eOZEfFBbz/dNH8DnAXcAdwIbACOA74C/HVEHJ1SWlNhfd3sYmBy1UV0m4iYDtwDjAOuB54CJgDvAaZVV1n3iIhhwA+A9wHfBK4CxgKnAP9G8ff67yorsAM5IbEJIuIQ4FFgfkrpxJr2s4ErgU+mlG6qqr5uEhFHAE+nlFb0a/8KcD5wdkrJT7VNFhGzgAeAcynC7zUppc9XW1V3iIifADOAo1JKL1VcTleKiD8A7geuSCnNqWkfBTwBTEop7VpVfZ3IYYXmOAUI4Ip+7fOA1cDstlfUpVJKC/oHg9It5fbQdtazI4iI4RS/y3cBt1VcTleJiGOBY4B/Tim9FBEjI2Js1XV1ofHldnFtY0ppPbAMWNX2ijqc4aA5jgQ2UXyy2iyltBboKfertfYqty9XWkV3mgMcCNhT0HwfLrfPR8SdwBpgVUQ8FRF+qGieB4DXgXMj4qSI2CciDoiIrwK/D8yttLoOZDhojj2BZSmldQ32vQhMLruv1ALlJ9sLgDcBh2+aKCLeBVwEXJxS6q24nG50QLmdB0wCTgU+C6wHboiI06oqrJuklF4D/gJYDtwKPEcxnHAWcGJKaV6F5XUkJyQ2x1igUTAAWFtzzPr2lLPDuQI4GjgvpfRk1cV0mWuBhcBlVRfSpXYpt78Fjiu7uYmI+cBvgH+MiG86obkpVgK/opjMfD9FGDsLuCkiTkgp3V1lcZ3GnoPmWA2MHmDfmJpj1GQRcQlFd/d1KaWvVl1PNym7tY8Hzkwpbai6ni7Vd2XNzX3BADZ/0r0DmMqW3gW9TRHxbopAcHdK6Usppfkppesp5nssAeaVPZAqGQ6aYzHF0EGjgDCNYsjBXoMmi4i5wJcpLkU6s9pqukv5u3wZ8H1gSUTsFxH7AdPLQyaUbc7wfmdeKLdLGuzru3JhYptq6WZzKD6ofae2MaW0Gvgvit/rGe0vq3MZDprjQYr38qjaxogYAxwOLKiiqG4WERcCFwLfAk5PXpPbbDsBU4CPAE/XfN1T7p9dPj69iuK6SN8k5r0a7Otre6VNtXSzvvUiGvUOjOi3FYaDZrkFSMA5/do/RzHX4Ma2V9TFIuICitnFNwCnOR7bEquAkxp8ZeX+u8rHd1RSXff4LsV8g9kRMa6vMSL2AD5GsabHM1UV10UeL7efqW0se75OAF4Dnm1zTR3NRZCaJCKuohj7nk/RFdu3QuJ9wJ/4D6w5IuIs4GrgeeAfKC4hrfWyE4taJyJmUExQdBGkJomIM4B/AR4D/hUYBfwtsAfw5ymlH1ZYXlcoV6F8iGKI5kaKv8uTKD7AzQDOSinllRXYgexGaZ5zgF7gDIqu2GUUS3ReYDBoqr41I/ahWAa1v3sBw4GGjJTSdRGxjGL1yUsoAu/PgE+klO6rtLgukVJ6LiKOorjk+QPAxykmg/YAX0wpubhXP/YcSJKkOs45kCRJdQwHkiSpjuFAkiTVMRxIkqQ6hgNJklTHcCBJkuoYDiRJUh0XQZLUNbIsm0txz43j8jy/p9pqpKHLcCBpsyzLtmdVNP/xSl3OcCCpkYu2sq+3XUVIqobhQNJb5Hk+t+oaJFXHcCDpbasd4wemU9yA7ECK2xB/Dzgvz/MlDZ73exR31fwAMIXiRmU/Ai7J8/zpBscPp7iD3qeAQynuXPgicA/wTwM8568obmZ0KLAW+CHwxTzPX3wnr1naEXi1gqRmmAN8A/glcAXwJHAacH+WZVNqD8yy7EhgATAbeBD4OvBz4JPAgizLjuh3/CjgLuBaYG/gJuBK4P+AvwT+sEE9GfBtiiGQa4BfAScDP8qybPQ7frVSl7PnQNJblD0CjazN8/xrDdr/DHhvnucP15zjcoqehK8Bny3bAvgWMB6Ynef5jTXHnwz8B/DtLMsOzvO871bnc4EPAncCJ+V5vq7mOaPLc/X3IeDIPM8frTn2JuAU4ATg1gFfvCR7DiQ1dOEAX38/wPE31AaD0lxgBfCJmk/r76MYdvhZbTAAyPP8FuCnwAHAMbB5OCED1gBn1gaD8jnr8jxf2qCeK2uDQWleuT1qgNcgqWTPgaS3yPM8BvmUexucY0WWZT3A+4GDgB5gVrn7xwOc58cUwWAm8L8UQWIC8Is8zxcPop4FDdoWlduJgziPtEOy50BSM7w8QHvfZMQJ/bYvDXB8X/uu/baDnUT4eoO2N8vt8EGeS9rhGA4kNcPuA7RPLbcr+m2nNjgWYI9+x/X9k5/29kuTNFiGA0nN8P7+DVmWTQAOp7iM8Ndlc9+8hD8e4Dx97Q+V2ycoAsJ7sizbsxmFSto2w4GkZvhUlmUz+7XNpRhGuLlmIuF9FJc5HlOuQ7BZ+fhY4CmKiYnkeb4RyIGdgG/0vwwxy7JR/S+VlPTOOSFR0lts5VJGgO/med7Tr+0HwH1Zlt1KMW/gmPKrl5orHPI8T1mWnQrcDdySZdntFL0DBwAfo1g86dM1lzFCsZTze4GPAk9lWfa98ri9geOBLwH//rZeqKSGDAeSGrlwK/t6Ka48qHU5MJ9iXYOTgZUU/7DPy/P8ldoD8zz/RbkQ0pcp1i/4KMUKiTdTrJD4ZL/j12dZ9iHgTODTwKlAAIvLn/nTwb88SVsTKW3PTdgk6a28RbLUnZxzIEmS6hgOJElSHcOBJEmq45wDSZJUx54DSZJUx3AgSZLqGA4kSVIdw4EkSapjOJAkSXUMB5Ikqc7/A/qv12bJlj8zAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 576x432 with 1 Axes>"
       ]
@@ -469,7 +495,19 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/html": [
+       "<div class=\"comment\">Saved: ./run/figs/GTS4-01-history_1</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 576x432 with 1 Axes>"
       ]
@@ -481,7 +519,7 @@
     }
    ],
    "source": [
-    "ooo.plot_history(history)"
+    "pwk.plot_history(history, save_as='01-history')"
    ]
   },
   {
@@ -500,7 +538,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -526,15 +564,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test loss      : 0.1602\n",
-      "Test accuracy  : 0.9557\n"
+      "Test loss      : 0.1789\n",
+      "Test accuracy  : 0.9544\n"
      ]
     }
    ],
@@ -554,14 +592,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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SJEkN1/aEzSFRSZKkhrPCJkmSGq/tFaa291+SJKnxrLBJkqTGa3uFyYRN6sGFcSVJTWLCJkmSGq/tT4masEmbIQZsYQWQVuskabO1fUi07f2XJElqPCtskiSp8do+JGqFTZIkqeGssEmSpMZre4XNhE2SJDVe24cE295/SZKkxrPCJkmSGq/tFaa291+SJKnxrLBJm8FFcSVpfvjQgSRJUsO1fUjQhE2aJ25jJUmarcYmbBGxBNgf2BG4Gbg8MzfUG5UkSapD24dEa68wRsSbIuKx0469ErgB+CJwHnAx8NOIeEkNIUqSJNWqCRW29wI/B34IEBGHAB+mqqqdAqwE9gT+AvhERDwzM79VT6iSJKkOtVeYataE/k+vcr4DWAXslZmnZuZHM/PtwN7AncBb+l4sYllErIiIFcuXLx9PxJIkaV7FmF6TogkVtntExBbAfsDxmXlr97nMvCEi/gE4vN81MnM5MJWpOYNbkiRNvEYlbMASYAs6w6M9XEP1EIIkSWqRJgwJ1qkpCdtDImI3qurkHcCDZmj3IGDtvEUlSZLUAE1JWM8ErgeuA7ajWs6jl8cDN85XUNJcysyBL0lSb85hq98pPY6tmX4gIrYH/hi4YOwRSZIkdUTEIuBo4A3AHsAvgU8CJ2bmnUNeY0ugAF4NPBbYCPwYOCczzxn0+doTtszslbD1cifwSOCuMYYjNYK7IkjSfdVcDTsDeCPwaeB0qhG/NwJPjYiDM3NTvw9HxNbAZ4EDqdaX/RBVDvYYYPdhApgxYSuK4jvDXKCHLMvyKbP87MwXzfwNcNtcX1eSJDVfXXO4ImIv4Cjgwsx8adfx64EPAIcBHx9wmXcABwN/kJmXzCaOfhW2nXFZDEmS1G6HUxX4zpx2/FzgPcAR9EnYIuKBVMOp/5qZl0Q1hLJtZt4xShAxScMqEXEE8NrMPGjIj0xO56QuDolKapja5+efEzGWv/TekNm3bxHxRarq2JLpe5pHxNeAPTPzoX0+fwjweeBtwG8BrwW2BVZTJX0nZubGQXHWPodtRLsDz6k7CEmS1Bo7A6unJ2sdNwH7R8TWmXn3DJ+f2i/9GOBuqh2bfgW8AjgB2AV41aAgZp2wFUWxFbBtWZa3DmwsSZK0GcZV4ouIZcCyrkPLO7smTVkC9ErWANZ3tZkpYduu8/5g4ImZeU3n609GxCXAKyPi/2Tm9/vFOVLCVhTFYqps8BVUT2zm1DWKotgXeDNwWlmWQz+wEBHXjRDCDiO0lSRJC8S4HjqYtqVlL+uAh81wbnFXm5lMrW7xja5kbcpHgQOoRg/nJmEriuKBwKXA04H/oVo75FFdTX4AvJBq8dtRnjDdA7iVasP3QZaMcF1JkqTNtQp4QkRs02NYdBeq4dKZqmtw74L/P+9x7med95l2eLrHKAnrW6mStSPLstyTaU9ElGW5FriMamLeKK4HVmTmkwa9gA+OeG1JkrQA1LjTwRVU+dJ+94knYjGwN7BiwOe/2Xnftce5qWO/GBTEKAnbocCXy7IsO1/3elpj5QwB9fMt4GlDtvWxOLWC21hJUmOcT5V/HDPt+OupRv7OmzoQEQ+PiMdFxD0jgpl5PfA1YL+IeFpX2y0619gI/MegIEZJ2HajSq76uR1YOsI1Ab5Ntfn7HkO0/QnwlRGvL0mSJtyiMb0GycyrgbOBl0TEhRHxuog4HXgf1chi94jju6mmiO037TJHUc1zuzgiTo6Iozqf3Q94V2b+dFAcozx0cCcw4zojHY8EbhnhmmTmu6k6OEzbjwEfG+X60litWTm4zdI9xhrCdkOs2XaHFTlJE67mheCOoRpFXEY1X381cBbVGmp9t6UCyMxvR8T+wGmday2mSuxek5kfGSaAUSps3wKeXxRFz4n/RVE8FDgEuHyEa0qSJDVaZv4mM0/PzMdm5jaZuUtmvikz105r9+rMjMy8tMc1vpOZf5SZSzNzcWY+ddhkDUZL2D5ItULvZ4qi2K37ROfr/0e1cu9ZI1xTkiRpoLqGRJtipK2piqL4W+A4qsl3dwIPBG4AHkFVrfybsixPGkOcs+U4kMbLIVFJ7VD71lQfHdPWVK8csDVVU4yUXJZl+Rbgj4Avc+8Tsb9F9SDAixuWrEmSpAWixmU9GmGzNn8vimLrsiz7LRZXN8sKGi8rbJLaofbc5p/HVGH7XxNSYdushG0CLOjOqQFM2CS1Q+1JzXljStheMSEJ28ibvxdFsRNwOPBUqr09b6NaS+3/lWXZa9sFSZKkzTIRWdUYjfrQwRuoFopbzH3/7JJqx/o3lWV5zpxGuHksK2i8rLBJaofa86WPj6nC9mcTUmEbOmEriuJPgH+hejr0Q1Qbwf8c2Ak4EHgD1RYNLy3L8jPjCHYW/C0lSdLmqz2p+cSYErbDJiRhG2VI9Hiqraf2LcvyR9POfa4oinOpNjg9HmhKwiZJkjTxRknYngR8rEeyBkBZlj8siuKTwCvmJDJpGJs2Dm6zaOSpmgvWXkMMn35v3MOnawdMdd12p9GvuW714DZLdhz9uqNYfc3gNjs+rnrfuH5w2y0Xb1480gIzEWWwMRp1L9FBfyuuBtYOaCNJkjSSSdqVYBxG6f+XgN8f0Ob3gYtnH44kSZKmG6XC9hbg6525am8ry/IXUyeKongY8C5gZ+ClcxuiJElqO4dEZ1AUxWd7HL4ReC1wRFEUPwRuptqa6rHA1sAKqk3iXzz3oUqSJLVTvwrbH/Y5tw3w5B7H98WlNCRJ0hyzwjaz7eYtCkmSpD7a/tDBjAlbWZZ3zmcgkiRJ6s0FqiRJUuO1vcI20l6iU4qieBDVE6Hb9DpfluWVmxnXXHE+nSRJm6/2KWT/OqatqV68ALemoiiKZwGnA/sMaLrFrCOSJEmaZiKyqjEaOmEriuKpVIvi3gF8BHgN8HXgemB/YA/gIuAHcx2kpPm3zRDbWG0Y9zZWk2T9msFtFi8dfxySFqRRhoTfBvwG2K8sy//dOfbFsiyPAPYE3gf8LrB8bkOUJEltt2hMr0kxSqzPAj5bluX1XccCoCzLjcCbgZ8AfzN34UmSJFUJxzhek2KUhO1BVMOfU34NPHDqi7IsE7gMOHBuQpMkSRKM9tDBamCHrq9/ATxyWptFdCVxkiRJc2GSqmHjMEqF7UfAb3d9fQXwB0VR7A5QFMVDgJcAP5678CRJkjRKwvYF4ICiKKaqbGdRbV91VVEUl1A9HboT1ebvkiRJc8aHDoa3nGpD+KkHDS4BXgXcBjwH2AC8uSzLc+c6SEmS1G5tT9hmtdPBdEVRbFGW5W/mIJ655iJR0iy5DtuIXIdNC1vtU8j+Y0w7HTx3QnY6mJOErcEWdOckSZontSc1/zmmhO0PJiRhm6RqoCRJUivNuKxHURTfmeU1syzLp8zys5Im0AOGGD69a2FX88dn3er+55fsOD9xSDVre4Wp3zpsO+OQoiRJaoCJGLcco0bNYYuIfYB9gV2AJcA64CZgRWZeMYtLNqdz0gJmhW2MrLCpGWrPl748pjlsB03IHLZRdjoYm4g4CDibahP5Xn9wGRHXAkdl5sXzGpwkSapd24dEa+9/RBxItSjvA4CTgOcCewGP6rw/FziZquJ2Uad9v+sti4gVEbFi+fLl4wxdkiRpXtQ+JBoRX6Haf/TZmXlnn3bbAl8Fbs/M5wx5ecdgpHngkOgYOSSqZqh92PCyReMZEn3OpskYEq29wgY8DTi3X7IGkJlrqXZbePq8RCVJktQQTZjDdjew/ZBtt++0lyRJLbKoCSWmGjWh+18Bjo2IJ/Vr1Dl/LHDZvEQlSZIaIxaN5zUpmjCHbU/g61TVs0uAb1At5bEB2IZqiY9nAgdQbTT/u5n5wyEv76QZSZI2X+3zvP5r6/HMYXvW3ZMxh632IdHMvDYi9gXeA7wIOLhHsw3Ap4ETMvPH8xmfJEmq3yRVw8Zh5IStKIpHA4cBjwceWJblH3eO7wo8GfivsixvH+WamXkd8PKIWNK5xs7cu3DuKuDqQQ8lSJoMRw54ovSDPk3aLG8aovjwPu+ZNG4jJWxFUbwFOK3rc93/lz4A+DfgSODvZhNMZq6jGhKVJEm6hw8dDKkoij+hGra8HHgWcHr3+bIsfwR8G3jxqEFExDYRUUREGREnRsRjZmh3cER8edTrS5KkybZo0Xhek2KUUI8FVgKHlGV5ObC2R5vvAY8dJYDOMOg3gLOAP6fa1eC7EfGWHs1/Cxh20VxJkqQFYZSEbW/g82VZru/TZhVVUjWKY4CnAO+imr/2QuBK4N0RUY54LUmStAC1fVmPUeawbcHgRWt3HKLNdIcC52fmOzpffzcivgi8H/jLiNgqM18/4jUlSZIWjFESth8Dz5jpZFEUAewP/GDEGB7FtIcUMnMTcFRErAHeFhFbZOZrR7yuJElaICZpvtk4jNL9C4D9iqL48xnOHwM8Djh/xBjWA1v1OtGpup0KvDoiPkwzdmaQJEnzzCHR4Z0O/ClwdlEUh9JJsoqiOBn4PaqdCK4CRp13NlW5O7vXycw8OSISOKnzPSRJklplpK2piqLYEfgQ8Cfcf5uKTwOvL8vylpECiDgVOBrYNTPv6NPuRKonSDMztxjy8q7mKEnS5qt9+6Zv7zierameunoytqaa1V6iRVHsQlUVewjV/p7fKMvyJ7MKoFpz7bXApzLzygFt/xLYJzNfM+TlTdgkSdp8tSc1JmwLexuYBd05aSF74YAtrAA+N5u/v9avGdxm8dLR237/gsFtn/Cy6n1jv9WROrZcXL3//Kr+7Xbau3ofJVZpdLUnNVc9bDwJ296/mIyEbYKm20mSJLXT0A8dFEXxgSGbZlmWR88yHkmSpPtp+7IeozwleuSA80lVMk2qhwgkSZLmxCQtwTEOoyRsT5rh+FJgX+B44BLgtM0NSpIkSfcaOmEry/J7fU5/rSiKzwL/Dfw71SbwkiRJc6LtQ6Jz1v2yLK8D/hX4q7m6piRJkkYbEh3Gz4CXzPE1JUlSyzmHbY50Nn9/NrB2rq4pSZIEDomOsqzH0/pc4xHA/wb2Af5pDuKS1HKzWhR3GKMsHjtK26lFcYcxtSjuMKYWxh3ERXGlBW2UCtsK+u8cEJ02b96siCRJkqZxSHR476N3wrYJuBX4JnBJWZZuByUtBHcPMbth623HH8cQthtiG6s7FvY2fOOzbvXgNkt2HH8cUsu5l6ik3kzYBCZsmlL7fps/evR49hJ9zP9Mxl6io25N9YOyLP9ujPFIkiTdT9uHREfp/huA3ccViCRJknobZQ7bT4GHjCsQSZKkmVhhG975wPOKothuXMFIkiTp/kZJ2E4DrgX+syiKA4qieOCYYpIkSbqPRYvG85oUowyJ/oIqwVsCfAmgKIp13P9JzCzLcoe5CU+SJEmjJGzX4jIZUns0ZMmOYbhkxxi5ZIcaYpKqYePgOmySJGmQ2tcq++mTx7MO227fGbwOW0QsAo6mWjFjD+CXwCeBEzPzzlG/Z0R8EjgU+F5mPnGYz/StsBVF8UrgqrIsvzNqMJLURM8fYpHdz0/9Q3bj+sEXnNoXdM3KwW2X7jG4zWx94ZjBbQ45c3zfX1rYzgDeCHwaOB14fOfrp0bEwZm5adgLRcQfAi8F7holgEFDoh8BTgZM2CRJUm3qGhKNiL2Ao4ALM/OlXcevBz4AHAZ8fMhrbQuUwNnAH40SR8tHhCVJkvo6nGpIeHqJ+lxgHXDECNd6J1Wx7O2jBjHKQweSJEm1qHHh3H2BTcA3uw9m5vqIuKpzfqCI2A84Ejg8M2+PIaZndDNhkyRJjVdjwrYzsDozN/Q4dxOwf0RsnZl3z3SBiNiSqiL3H5n5ydkEMUzCtrQoit1GuWhZlj+dTTCSJEnzKSKWAcu6Di3PzOVdXy8BeiVrAOu72syYsAFvBh4D/Mls4xwmYTu68xpWDnldSZKkoYzroYNOcra8T5N1wMNmOLe4q01PEfFo4ETgtMy8blZBMlxidTuwZrbfQJIkaYKtAp4QEdv0GBbdhWq4tF917XTgFuDTneRtypbA1p1jd2bmz/oFMUzCdkZZlqcO0U6SJGksatzp4ArgucB+wFenDkbEYmBv4CsDPr871Ty4781w/kfA54A/7HcRhy4ltcrnR9ndZWpR3Lqi18wAACAASURBVGGMc1HcYbgorha4Gh86OB94K3AMXQkb8HqquWvnTR2IiIcDOwA/zcypYdLjgKU9rltSzYF7E9C3ugYmbJIkSTPKzKsj4mzgyIi4ELiIe3c6uIz7Lpr7buBVwIHApZ3PX9zruhHxf4G1mXnBMHGYsGmybdo4uM0if8w1O0uHWCdpzVTFbpSfxXWrB7d103XpPmre/P0YYCXV06QvBFYDZ1HtJTr0tlSbw99kkiRJfWTmb6geHjh9QLtXA68e8pp7jBJD5CjzOeZRRCwB9gd2BG4GLp9h0bp+mtk5zR0rbBojK2zSPUZbln8Mbnl2jOV3+oO/krX3bRi17yUaEW+KiMdOO/ZK4Abgi1ST+S4GfhoRL6khREmSpFo1ofTwXuDnwA8BIuIQ4MNUVbVTqMaM9wT+AvhERDwzM79VT6iSJKkONc9hq10Tuj+9FPkOqkXq9srMUzPzo5n5dqq1Tu4E3tL3YhHLImJFRKxYvrzfwsWSJGlSxKLxvCZFEyps94iILagWpjs+M2/tPpeZN0TEPwCH97vGtC0mnMMmSZImXqMSNqoF6LagMzzawzVUDyFIkqQWafuQaFMStodExG5Uw6N3AA+aod2DgLXzFpUkSVIDNCVhO7Pzgipp2x/45x7tHg/cOF9BaQK4ZIfGaM0oyx6N8rPokh3SyCZpvtk4NOG33Sk9jq2ZfiAitgf+GBhqCwdJkrRwmLDVLDN7JWy93Ak8ErhrjOFIC9v3h/j3zhNeNv44JsUIi+E+ZohFdn80m4XKB8VglVlqhYn5P72zLcRtdcchSZLmX9sfOmhE9yNim4goIqKMiJMi4jEztDs4Ir483/FJkiTVqfYKW2fP0K8BT+beRXTfGhHvyMy/ndb8t4DnzGd8kiSpflbY6ncM8BTgXVRJ2wuBK4F3R0RZZ2CSJKkZ3OmgfocC52fmOzpffzcivgi8H/jLiNgqM19fX3iSJEn1akLC9ijg77oPZOYm4KiIWAO8LSK2yMzX1hKdJEmqXduHRJuQsK0Htup1IjPfERG/AU6MiAB84ECSJLVOExK2HwPPAM7udTIzT46IBE4CDpjHuCRJUkNM0nyzcWhCwvafwNERsV1m3tGrQWae0knaTgZmsfKkJMBFcUc1wqK0s1oUd45jkLRwNeFvgn+mGhJ9DNXToT1l5qkR8Stgn/kKTJIkNUPb57BFjutfhc2woDsnYP39tp29v8VLxx+HhrdmZf/zS/cY7/cfZXuuMW3l9bIhtrG6YGH/3azJM/iHdtxeHuP5n+KTWX/fhtDyfFWSJKn5mjAkKkmS1F/LS0wt774kSVLzWWGTJEnN1/ISkwmbJElqvpYnbC3vviRJUvNZYZMkSc3X8hJTy7svSZLUfC6cK0mSBql/cdlXj2nh3I9MxsK5DolKkqTma/mYoAmbJDVYDNjGaoGPkkjqMGGTJEnN1/IKW8u7L0mS1HxW2CRJUvO1vMRkwiZJkpqv5Qlby7svSZLUfFbYJElS87W8xNTy7kuSJDWfFTZJktR8LS8xmbBJUoO5MK4kMGGTJEmTwAqbJGnSDdrCCqzWacK1PGFrefclSZKazwqbJElqvpaXmFrefUmSpOazwiZJkpqv5SUmEzZJktR8LU/YWt59SZKk5rPCJkmSmq/lJaaWd1+SJKn5rLBJ0gLgorha8FpeYjJhkyRJzWfCpkbZtHFwm0Xetnv459UM61YPbrNkx+p90D2bul93rx18za23rd4vPXlw2wM6bdb+fHDbbXcave24DPqznfpz/cV3B1/rYU8E4INDbGN15FTF7rufGHzdJx42uI2kzdKo32QRsQ+wL7ALsARYB9wErMjMK+qMTZIk1cgKW/0i4iDgbGBPoNc//TIirgWOysyL5zU4SZKkmtWesEXEgcAXgFXAScA3qKpq64HFVNW2ZwKvAy6KiOdl5iU1hStJkurQ8gpbE7p/CnA1sFdmnpaZF2fmDzLz+s77xZn5N8BewPeAk/tdLCKWRcSKiFixfPny8UcvSZI0ZrVX2ICnAcdl5p39GmXm2ohYDrx3QLvlwFSm5nPukiQtBIu2qDuCWjUhYbsb2H7Ittt32kuSpDZp+RP/TRgS/QpwbEQ8qV+jzvljgcvmJSpJkqSGaEK6+hbg68CVEXEJ9z50sAHYhnsfOjgAuA04vp4wJUlSbVpeYYsmbGcSEb8NvAd4EVWSNt0G4N+AEzLzxyNcuv7OSZI0+Qavtjxu79p2PL/T37q2/r4NoRHpamZeB7w8IpYATwZ25t6Fc1cBVw96KEGSJC1gLa+wNar3mbmOakhUktQAMcQ2Vk0YqVELtDxha8JDB0TEjhFxXES8MyJ+t+v4X0fETyLijoj4j4h4cp1xSpIk1aH2dDUidgJWUA2DAhwfEUcAD6VaVPfbwK3AQcAlEfGUzLyxlmAlSVI9rLDV7s3ADsDLgWcA/w2cBrwK2Dczn5mZewN/AGwLHFdXoJIkSXVoQrr6AuAfM/MCgIg4nmpv0VMy8+qpRpl5SUR8AnhuPWFKkqTatLzC1oTe70a1l+iU73Xev92j7beAl409IkmS1CwtT9iaMCT6a+6bOK7vvK/t0XY9TVgLRpIkaR41IV1dBeza9fVa4Cjgmh5tdwd+OR9BSZKkBml5ha0Jvb+S6mEDADJzA3D2DG0PAr4zH0FJklxjTWqKJgyJngq8a1CjiPgt4GfAP409IkmS1CyLthzPawgRsSgijo2IayJifUTcEBGnR8QDh/jsgyLi6M56sjdExF0R8cOIWB4Rjxi2+43YS3SMFnTnJKlJ3BVhQat//vgHHzeeH54jrxnYt4h4P/BG4NPA54HHU03f+ipwcGZu6vPZQ4B/B74EfBlYDTwReANwN7B/Zn5/UAxNGBKVJEnqr6Y5bBGxF1VydmFmvrTr+PXAB4DDgI/3ucQ1wGMz88fTrvs54D+pRhoHroDRhCFRSZKk/uobEj2cqsJ45rTj5wLrgCP6fTgzV05P1jrHLwZuoaq2De7+MI0kSZJaal9gE/DN7oOZuR64qnN+ZBGxA7AdcPMw7R0SlSRJzVffsh47A6s7q1hMdxOwf0RsnZl3j3jdtwNbMeTDlFbYJElSa0XEsohY0fVaNq3JEqBXsgb3Lva/ZMTv+TLgr4AvAh8e5jNW2CRJUvONqcKWmcuB5X2arAMeNsO5xV1thhIRLwDOo9pu8+U55KPTJmySJKn56hsSXQU8ISK26TEsugvVcOlQw6GdJT4upNo3/bmZefuwQTgkKkmSNLMrqPKl/boPRsRiYG9gxTAXiYjnUa3jdg3V2m23jhKECZskaU5k5sCXNGv1LetxPtVC/MdMO/56qrlr500diIiHR8TjIuI+c9oi4rnAZ4Brgd/PzFtG7b5DopIkSTPIzKsj4mzgyIi4ELiIaqeDNwKXcd9Fc98NvAo4ELgUICL2Af6Vai23DwPPn74rSGZ+bFAcJmySpHnnNlYaWX1z2KCqrq0ElgEvpNpe6izgxH7bUnU8kXsfTjhjhjYDEzb3EpUkzTsTtolT/16iHztkPD8QR3yh/r4NwTlskiRJDeeQqCRJar56h0RrZ4VNkiSp4dqdrkqSpMlghU2SJElN1u50VZIkTYaWV9ja3XtJkjQZTNgkSZpfrrEmjcaETZIkNZ8VNkmSmstdESQTNkmSNAmssEmSJDVcyxM212GTJElquHanq5IkaTJYYZMkSVKTtTtdlSRJk6HlFbZ2916SJE2GlidsDolKkiQ1XLvTVUlS47korgArbHUHIEmSpP7ana7Ol9tvHNxm+13HH4fqtXH94DZbLh5/HNIC9uAhtrG6xYrdZLLCJkmSpCZrbLoaEUuA/YEdgZuByzNzQ71RSZKkWrS8wlZ77yPiTcDnMvOHXcdeCZwBLO1qujoi/iIzL5zvGCVJUs1anrA1YUj0vcDTp76IiEOADwMbgFOA1wDvpkouPxERT+91ka7PL4uIFRGxYvny5eOLWpIkaZ40IV2dPkP0HcAq4MmZees9jSLOAb4DvAX405kulpnLgalMzZmlkiQtBFbYmiMitgD2A87sTtYAMvMG4B+AZ9URmyRJUl2alq4uAbYAfjjD+WuoHkKQJElt0vIKW1N6/5CI2I1qePQO4EEztHsQsHbeopIkSc1gwtYIZ3ZeUCVt+wP/3KPd44EhVqFtGBfFFbgorjQPXBRXC1UTErZTehxbM/1ARGwP/DFwwdgjkiRJzWKFrV6Z2Sth6+VO4JHAXWMLxq2DJKk1thywjdVGq3VqkNoTtmFl5m+A2+qOQ5Ik1cAKW/0iYkfg1VQPFVyUmV/rHP9roAAeDHwdOC4zv1NXnJIkqSYmbPWKiJ2AFcDOnUPHR8QRwEOp5rd9G7gVOAi4JCKekpmT9+CBJEnSLNWesAFvBnYAXg78FPgQcBrVgwf7ZubVABFxIPAF4DjgmHpClSRJtWh5ha0JOx28APjHzLwgM78JHE/1cMFnp5I1gMy8BPgE8Nx6wpQkSapHE9LV3YCru77+Xuf92z3afgt42dgjkiRJzWKFrXa/5r6J49TaGr12NFjP/TeLlyRJWtCakK6uArq3AlgLHEW1b+h0uwO/nI+gJElSg7S8wtaE3l8JPGPqi8zcAJw9Q9uDgPEt6+GiuJLUGi6MO2FM2Gp3KvetsPUUEb8F/Az4+NgjkiRJapDaE7bMvBa4doh2NwMvGX9EkiTdKwZsYQWQVuvGr+UVtiY8dCBJkqQ+2p2uSpKkydDyClu7ey9JkiZDyxM2h0QlSZIart3pqiRJmgxW2CRJktRk7U5XJUnSZGh5ha3dvZckSZPBhE2SJM3ERXHVBCZskiSp+ayw6R7rVg9us2TH0a+7aePgNi3/QZQm3sb1g9tsuXj8cahWS4fYxmqNFTvNglmCJElqvpYXNlzWQ5IkqeHana5KkqTJ0PIKW7t7L0mSJkPLEzaHRCVJkhqu3emqJEmaDFbYJEmS1GTtTlenm80aa8No+b8KpFZwjTXhGmtj1fLfpe3uvSRJmgwmbBq7UXZQuPbfB7fd8w83L55+Rlmt/cZvDG676zM2L56mc3V7aXbGtbPMBHnRELsi/JsVO3WYsEmSpOZreYXNhw4kSZIart3pqiRJmgwtr7C1u/eSJGkytDxhc0hUkiSp4dqdrkqSpMlghU2SJElN1u50VZIkTYaWV9giF/aifAu6c5IkzZPBq/yO2/o14/mdvnhp/X0bgkOikiSp+RZtOZ7XECJiUUQcGxHXRMT6iLghIk6PiAcOG35EvCAiLo+IOyPiloj4VEQ8cujPL/gK2yhbB7nNkLTwjfL/+ZqVg9su3WP060ojesQQ21jdMN7f5/VXoTauH08Ht1w8sG8R8X7gjcCngc8DjweOAr4KHJyZmwZ8/iXABcB/A+cCOwDHAL8B9snMVQPDHNRgvkTEPsC+wC7AEmAdcBOwIjOvqDM2SZLUThGxF1VydmFmvrTr+PXAB4DDgI/3+fxWwFnADcDvZebazvHPA98CTgaWDYqj9oQtIg4Czgb2pHcGnxFxLXBUZl48r8FJkqRmqO+hg8Op8pMzpx0/F3gPcAR9EjbgOcDOwIlTyRpAZl4VEZcCfxoRf5mZv+4XRK1z2CLiQOALwAOAk4DnAnsBj+q8P5cq81wCXNRpL0mSNF/2BTYB3+w+mJnrgas65wd9HuDrPc59A9ieqmjVV90VtlOAq4FnZ+adPc7/ALg4Is6gGic+Gbhk/sKTJEmNUF+FbWdgdWZu6HHuJmD/iNg6M+/u8/mptr0+D9V0sO/1C6LuhO1pwHEzJGv3yMy1EbEceO+gC0bEMu4dC35DZi7v1abX8UmfEDxjvybcQu0XLNy+Nbpfo/x/PvVAQUfffvn3RyMtlH71eqBgofRtBGN58GFa3gCwfNqf6xKgV7IGsL6rzUwJ25LOe69rrJ/WZkZ1L+txN1UpcBjbM/Mfxj0yc3lm7tN5zfSDPHBy34SyX5NnofbNfk2ehdq3hdovWNh9mzfT8oZeucM6YJsZPr64q81Mps71usYwnwfqT9i+AhwbEU/q16hz/ljgsnmJSpIkqbIK2DEieiVcu1ANl/YrKK3qatvr89B7uPQ+6h4SfQvVJLwrI+ISqsl3N1GVDbeh6sgzgQOA24Dj6wlTkiS11BVUD0HuRzWfHoCIWAzsTVV8GvR5qPKZ6atdPAO4Hbh2UBC1JmyZeW1E7Ev1WOyLgIN7NNtAtVDdCZn54zn61gt1zN9+TZ6F2jf7NXkWat8War9gYfetSc4H3kq10O1Xu46/nmru2XlTByLi4VSL4v40M6eGOS8Dfga8LiLO6FqH7SlUBakPD1rSAxq000FELAGeTPU0xdTCuauAqwc9lCBJkjQuEXEWcCRVAekiqp0O3gh8DThoaqeDiPgI8CrgwMy8tOvzh1IlflM7HWxPNdUrgadnZuOHRO/RyUS/0X0sInYA3hARn83M/6knMkmS1HLHACupHvR4IbCaaveCEwdtSwWQmZ+KiLuAtwP/l2r08EvAXw+TrEGDKmy9RMSjqMZ1D83MC+uOR5IkqQ5173TwgX4v4ESqdVf+d+fY+2f5fRZFxLERcU1ErI+IGyLi9Ih44Jx2qAYRkTO81g7+dP0i4oSI+FREXNeJe+WA9o+NiM9ExK0RcWdEfLWzvVmjjNKviDi5z308bh7DHigi9oyIUyPiGxHxy4i4IyKuioi39fr/aYLu19D9mqT7Bffcg/Mi4gcRcVtErOv8Xfi+znybXu0n4Z4N3a9Ju2fTRcSSiLi+E+8He5yfiHumzVP3kOiRVOO3/RbDS+D5Xf999Cy+zxlUY82fBk7n3rHnp0bEwcOUMxvuq9x/8unACYwN8S7gFuBKYGm/hp2K6+XARuBvqZ4cfj3wxYh4fsP2mh26X12OpSqzd/vWXAY1B14L/CXwWaqJtr8GDgROA14eEc/IzLtg4u7X0P3qMgn3C2BX4OFUf//dSHU/nkQ1tHNYROydmb+AibtnQ/ery6Tcs+lOBXbsdWLC7pk2R2bW9gKup/rhOgbYvcfrOVT7d71h6tgsvsdenWv8y7TjR1ElgH9W55/BHPwZJvCRuuPYjPh/u+u/vwus7NP2k8BvgL27jm0L/AT4IZ0h/ia8RuzXyZ37uEfdcQ/Rr32AHXocP63ThyMn9H6N0q+JuV8D+nxopx9vmcR7NmK/JvaeUe0ItBF4U6cPH5x2fuLvma/hXnUvnPsEqqcl3gt8ANiUmT+ZelH9qwngl13HRnU4VQXvzGnHz6V6EvWI2YXeLBGxdURsW3cco8rM64Zp1xmW+iPg0sy8quvza4G/p9o4d9AGvPNm2H5NFxHbR0Tdle8ZZeaKzLytx6nzO+9PhIm8X0P1a7qm368Bpv4+fRBM3j3r4z79mm6S7llEbEH1u+oLwP3mcS+ge6Yh1JqwZeZdmXkc8DtU5e3vR8RxnR/SubIvVYXtm9O+93rgKhbGD/PLqJLPOyLiFxFxVlRP2C4kT6ZaTPnrPc5NPV086ffyO1QV5/URcXlEPH/QBxpk1877zZ33hXK/pver20Tdr4hYHBE7RsSuEfFc4JzOqYs67xN5z4boV7eJumdUQ7iPo5o+1MtE3jPNTt0VNgAy80qqH6pTqErXV0bEM+fo8jtTbRvRa9PVm6i2m9h6jr5XHb5J9Wf2Mqq1X75M9T/3Vyex4tbHzp33Xo8/Tx3rte3HJFhDNQfxKODFwAlUUwA+FxGvrjGuoXT+gXUi1bDNxzuHJ/5+zdAvmNz79Trgl8ANwBep5lYekZlTC4FO6j0b1C+YwHsWEY+k+p14amaunKHZpN4zzUJjysJZTfz/vxHxL8DfUU2kv4hqzH5zLKFa76SX9V1tBm4s30SZ+TvTDn00Ir4DvJPqAY13zn9UY7Gk897rXq6f1maiZOb04Xoi4h+p5r6dEREXdIY4mupMqu1V3pqZP+wcWwj3q1e/Jvl+fQa4hmp+01OphtIe2nV+Uu/ZoH5N6j37O6p53u/r02ZS75lmoREVtm6ZeX1mHgK8mmqotN8TpMNYR1Uy7mVxV5uF5L1UCegL6w5kDk3do173csHdx8z8FfAhqmrB/jWHM6OI+Buqiu7yzHx316mJvl99+tXTJNyvzLwxMy/OzM9k5klUFfn/ExEndJpM5D0bol8zfa6x9ywijqDau/LPs/+WRRN5zzQ7jUvYpmTmx4BHUE0c/exmXGoV1bBnrx/oXaiGSyeyujaTzv/gq5jhMfAJtarz3qu8P3VsqNWiJ8jKznsj72NEnEy1aveHgT+fdnpi79eAfvWzsvPeyPs1XWZ+B/g2UHQOTew969ajX/2s7Lw35p51fle9j2qE6ecR8eiIeDTVEC7ADp1jS1kg90zDaWzCBpCZd2fmbZm5cTMucwVVP/frPhgRi4G9gRWbce1G6vRtV3pPlJ5UV1OV/XvNbXxG532h3cvHdN4bdx8j4iTgJOCjwOsyc/rUhYm8X0P0q5/G3q8+HgA8uPPfE3nPZtDdr36aeM8eQDWk+0LgR12vSzvnj+h8/ToW1j3TIHWvKzLuF9VCiv3WYTui7hg3o28PmeH4e5m2DtEkvBi8XtmnqNYbekrXsan1hq6loesN9esX1TzSXut/PQL4FdUinw+ouw/TYjux8/P1UWDRQrlfw/RrQu/XTjMcP7Bzf740ifds2H5N2j0DtqJ6iGz66y86P5+f73y956TdM1+b92r0XqJzJSLOopqP8mmqMvPUTgdfAw7KCd3pICLOoPpX1CXAT6n+J30B1V9Y/x9wYN5/dfZGiYj/xb2l/qOAral2owD4SWb+c1fbR1M9Fftrqt0rbqda0ftJwAsz84vzFfcgw/arM6xxPdXE6R8AtwKPpfrX87bA4Zn5qXkMva+I+Evgg1Q/b++g+sdQt5sz8z87bSfpfg3Vr0m7XwAR8WmqHQG+TPVLfDHwdOAwqvlNB2RnDa8Ju2dD9WsS71kvEbEHVT/Ozswju45PzD3TZqo7Y5yPF7AF8FdUqz5voBrTfx+wbd2xbWa/Xkz1GPtNVE8E3Um1ttxbgcV1xzdkHy6l+ldjr9elPdo/HvhXqsf01wH/BRxcdz9m2y+qycJ/TzW0cSvVX7o/Ay4A9qu7Hz369ZE+/brfPZug+zVUvybtfnVifjnwOaplL9YDd1E9VXkWsFuP9pNyz4bq1yTesxn6uwc9djqYpHvma/NeraiwSZIkTbJGP3QgSZIkEzZJkqTGM2GTJElqOBM2SZKkhjNhkyRJajgTNkmSpIYzYZMkSWq4LesOQFI9iqLYg2rl9H8qy/LVXcc/ArwKeGRZlivriG0Uo8ZbFMWlwHPKsozN/L4rAcqy3GNzrjPge1zKHMQqafKZsEljVBTF9JWpN1Gttv4d4B/Ksjxv/qMar5kSQUnS7DkkKs2PUzqv91BtW/Vs4GNFUbyvzqBmcALVVjc31R2IJKlihU2aB2VZntz9dVEUvw/8J3BMURQfaNLQY1mWP6Paa1GS1BAmbFINyrL8UlEU11BVsvYFVnYPJQLvAv4GOBDYETioLMtLAYqieDDwZuCPqTaEvhtYAfyfsiz/Y/r3KopiO6rq3ss711oJLAc+0yu2fnPCiqLYD/gr4Fmda91Ctan235dl+cmiKE4GTuo0f1VRFK/q+vhryrL8SNe1ngccDewHbAfcCFwIvLMsyzU94jq4c+2nARuArwDH9+rDqIqi2BpYBrwA2AvYCbgTuBI4vSzLz/f57A7AO4E/AR4CXAd8CDirLMv7bdZcFMXvUN2/ZwEPBm4GLgJOKcty1Vz0R9LC45CoVJ+pieTTf6k/Cvj/qJKx86iSq9sBiqLYHfgWVaLyS6rE4HyqxO8LRVG8vvtCRVFsA3wJOBZYDbwfuAx4B3DGKMF2rn05VaJ4OXA68DngYUDRaXZp53sA/Df3DgWfAlzVda0TgS8Av9O5xgeA/wGOA75WFMX20773y4AvAvsAnwLOoUqOvg48cpR+zODBnbi3o6p8vg/4LPBU4KKiKF43w+e2Bi4Gngd8AjgXWNq51genNy6K4jXA14DnA5cAZ1Il268DVhRFsdsc9EXSAmSFTapBp1r0WKpk7Yppp58FvLssy7f2+Og/AbsDh5dl+Ymu6y2lSpY+UBTFZ8uyvLlz6q+oKngXAoeWZbmp0/49VInfsPE+ASipEsffK8vye9PO7wpQluWlnacnjwaumj4U3Gl7IFUC93XgBd3VtKIoXg18uHP+2M6xbakStE2d772iq/0ZwDHD9qOPW4Hdy7K8cVqsO1AlWH9bFMV5ZVneNe1zD6eqqD2xLMsNnc+cRHVPi6Iozi/L8iud43t2+rGS6snPe+YIFkVxEFWi+H6qSp0k3YcVNmkeFEVxcuf1zqIoLqCqLgVwZlmWP5nW/GaqhGX6NZ4CPAf4l+5kDaCT9JwELAZe2nXqNVSJzlumkrVO++upqlrD+guqf+D9zfRkrXO9G+//kRm9sfP++ulDn50h06uAV3QdfjFVBezj3clax8nAbSN8757KstzQqw9lWd4G/CPwIKrEt5cTppK1zmduoRrOhurPf8pfAFsBR3cna53PfJmqoveizhC2JN2HFTZpfkzN60pgDfBVqmU9Ptaj7X93JwBdntl536EzV2y6h3beHw/3zF17NHBDWZY/7tH+0q64BnlG533GuVwjeCbwa+DQoigO7XF+a+ChRVE8pCzLX1HNWYNqKPc+yrK8rSiKq6gS2c1SFMVeVHPLnk1VOVs8rckuPT62kWp4eLpLO+9P7To2df/+//bOO9yK8trDLxo0CFcJYIVExdxc9QZBxUY0iF1j18TYAY1lRaJRjC362BL1RlBRF/aOorE37L0nYomiYjvq9Yq9dwz3j983nGHO7HP25mxwH1jv8+xnzplZ39RvZtas9g02szLlbxFgXuBn1GD9DIJg7iAUtiCYDdRY+HRKhfk903T99KtEtzRdKE3fudOSHAAAEvBJREFUriBXaTtldE/TepT66ImePW0pi92A96nvcZRiZqsDd6X9uhNZuz5B1skByMo3f0nT99z9u1b2aaHcvOz6HdjG7nRrY3kQBHMhobAFQePRIrMwkbn+9nX3atyZmfyiFZYvVsM+Za7L3sDzNbQr42NgHnfvUYM81Oc4KvFnoAswJMvGzTCzQ5DCVkYvM5u3RGnL9invrs3+XsjdP2nn/gZBMJcRMWxB0HF4JE3XqkbY3T9FmZe9zWyZEpG1Z2LbG1chmykv87ayrh8lF2Q1TEzTFm7PlBQwoMr1tMZPgQ+Kylql7eb4ATCoZP7aafpEbl5N1y8IgiBPKGxB0EFIAff3A1ub2fAyGTPrZ2aL5Gadj+7zE8xsnpzc0jQH/1fDWBSvdXjKGC1ut0/u3w+RlbBSiYqsnMjZZrZEybq6JhdlxnVpnTuY2cCC+JHM6HacWZqAHma2QmFfdkMlO1rjuFQ+JWvTA1nsQOc/4zQUu3dSyhidATObz8xCmQuCoJRwiQZBx2IHFGt1rpn9AdVr+wjoA6wA/BwFt7+T5EehumnbABPN7Fak4GyHCs9uXs1G3X2SmRmq+/aEmV0HvIjisgYCn6Iiv7j7Z2b2KLCWmY0DJiOr2/Xu/nQqGnwwcBzwopndjAoGd0MlSwYDDwAb5da3B6o3d7+ZXY5GYlgzHe99KFGgPZyMFLMHzOwK5L4cmLZxJbBthXZvodi2Z8zsepQFui1KWvCspEc6jueTon0e8KyZ3ZLOTWek3K6Faust285jCYJgDiQsbEHQgUilJ1YGDkNK0I7IUjYIeB3YE408kMl/DayHrFoLo/poawPHkuqc1bDts5ECc2Nax4FI4XsPOL0gvjMqiLsRSi44huZsT9z9BKRk3QT8AtVS+zWKkTuLZgtVJn9lWtfjaMSGvdAoC2sgZa9duPstwGbAJKTM7oZGUxiS9rES36DzexvwW3T+P0bneZ+S7VyCrt84pGDvA+yEXLJX0lyAOAiCYAY6TZtWKb45CIIgCIIgaATCwhYEQRAEQdDghMIWBEEQBEHQ4ITCFgRBEARB0OCEwhYEQRAEQdDghMIWBEEQBEHQ4ITCFgRBEARB0OCEwhYEwVyLmTWZWdNs2tY0M7tndmwrCII5jxjpIAhmE2a2K/B7YHlU9PYJ4ER3v7HG9fRFhXM3QAOifwDcDRzl7m0OzJ6GRXoCWAAY5+47lchsi0YcGAD0B/6jkmyS74yKvg4AVkzH2Bn4nbufU8vxBR2XevXxWtdlZhcAu7ayuuXK7g0z+xUqcrw8GrXjLVScebS7P1wi3w04CI1msTTwVZIf5e4313J8QVArYWELgtmAmZ0IXICGLDobuAToB9xgZi0q4reynpXQi2s4GtboFOAeNPTUPwtjcJa1/wFwMfDvNjb1Z1SFfwDwZhW71hUN7zQUWAyYUkWbRmDd9AvaSb36eDvXdQpwVMnvvZJtnIBG7VgJuCW1nQhsATxoZjsV5LsDD6N74zvgTDQ6RT/gpjRUXBDMMsLCFgSzGDMbBBwAvAys4u4fpvl/Q1/nJ5rZje7eVMXqzgUWBPZ392wQdcxsDTSm5kVm9t/u/m2F9ociJexA9IKqxB+B/wVeQpa2u9vYry+ATYAn3f0tMzsSDUnV0Lj7y9/3PswJ1LOPt3NdJ1e5jcWAkcDbwAru/k5u2RA0Xu/RSFHMOBKNXXs1sJ27T03yCwOPpf2a4O4vtrX9IJgZQmHroJjZUDT24YroK/RbNIbk2DReYVmbHuhBuAXQN7VpAiYAx7j757XKZvE/7r5UyfaORC/tIe5+T27+NOBeNPbiscDGyCqzm7tfkFx2w9EYjUsiBWUKcCtwdBpPs+z4NgBGAKuhAc7fQV/Mp7r7HWa2Udr/8919eEn7+Wm2JvVO43DWg73S9C/ZywfA3ZvM7HTgcGAYbSg4yRU6AB3XDMqWuz+cBmTfBo25eUNJ+4FpW0cBT7e2LXefrqBpzPfWcfdv0LmtmuRGXQb4tlrFKd+nUL8fCSwHfASMBw5x96/NbB3gCGQ9+Q5ZUvZz9/cL62tK+79Ubt586JoNRW6v+dE5f4rUlwrrWBb4E7BO2qePgReAS919bBvHswSwOxp4fhmgB7IG3YPus+dK2mxOsxuvB/A+8CJwubt7Tq4vcHDar97Al6h/PwgcVjwX7aQufXwWrKsSSyIP06N5ZS1t524z+xSNvZtn6zQ9IlPWkvy7ZjYKODXt+wHt2K8gqEi4RDsuY4GlkFXlZPSyWhK42MyOKQqb2dJIeTkUxV2MBc5DVpQ/kns41SLbDnoAjwCroy/W09DXLujBuBfwBnAZehBOQi+2f5hZ75LjOwopdGun6SjgTvQyz1wbt6Kv9u3MbKGSfdoGxbFcUEdlDfTCBLldikwoyLTGYmna5O5lLs1X0rSFi8/MugAXAU8Cx1exrdlBb+A5dJ1qZQSyNr6A+uf7qG+eaWZbofP6ARpI/jnUB0o/ZEq4ACnEndE5G4Pus35IGZ5OioGaiOKnngVGA1cB8yIlri1+iZSqj1K7k9B9sS3q6/0L29sDuA4pazegfn4z0AUpMZnc4sA/0rxn0zFcDLwK7IwUy3pSrz7e3nVtbGYHmdlIM9vSzBasIPci8A2wqpn1yi8ws1+imM07Cm2y++8VWlLx3guCehEWto7Lz4tWiWQZmAAcbGZnuHs+9ugSpNAd6u7HFdr1Aj6bSdmZpR96gQzPf60mLgZOKipNyYI2AcWQ7F2YfwR6Ga1VOG7MrA+Au08zszOAv6GX1mmF7e6Rpmfl2nYH9qvx2K519ydT+65IMfnM3d8qkc3cJz+rYr1ZHM6SZtbJ3acVlvdN02VL2h6flq/k7lOrsZo1OOsBK2cWqGQdnYiu62bABu5+b1o2D1LWNzKzAdm1KSMp8r9FrrfV3P27wvKeub97AZei5+g62fZyy/tUcRx3AYu6+6eFtv2RJex4ZIHO2BMpGv2LlqGC4rEt+ijaz91PKch1JRfD2Eh9vA7r8sL/n5rZIe5++gxC7h+Y2UFIwZ5kZtcipX8ZYHPgdnSu87yHFN2l0QdkntbuvSCoC6GwdVDKXEju/k1yGayDvvQuAjCzlYFByLpyQkm76QG5tci2k2+AkSXKGkWFKzf/NjN7FrmP8oxI0wPK2hZcqOcDx6CH8XSFzcz+ixSr5e6Tc/Ldqd310oTOH8g1C3KTlZHN797WSt19splNRi+rEchqAoCZrYbc1wA/yrczs3WT/MHuXnzRfG+kWKNOM9l8TN5dmNyglyN370155cnd/21mlyAlrz/N16aMaWmfvqYkMaPgRtwVuevHFJW1JFvqui/IvFNh/lNmdhewgZl1LsQkTkUhCsU2ZffmlyVynxdmNUwfb8e67kOWxkeQ+3oJYCt0XKeZ2bfufla+gbufnFzi5wG/yy16CVnZi9fmxiR3pJltnynzSYnfP8nMb2Zd3L3FeQ+C9hIKWwfFzH6C0svXBX6CXCJ58m7DLHPw1gqutDy1yLaHpkovKzPrBOyIYoj6IwVk3pzIN4Umq6MXbZkLZQbc/X0zuwLYxcwGuftDaVFmXTujIN/EzCsVtVC0llViT1JGm5lthl6afZAbeRKwAorZAqZbT84HHkXuszmFf5bM+780fbxkWabIt2r1cvdPzOwGZKV70syuAu5HsU5fFMSze6Wm2L0iya26FzAQ6EXL53IvVG4CYBy6js8mBfVe4EF3f7fQ5nrgr8DpZrYhsjA+CEwqWmYbsI/XvC53P6+w/BVglJm9gFzHfzGzc/MWUzP7EzpHY9DH2xRkITsOGJessXm39hGolM6vgeXM7E5UGmcL4FOUeLMAufsvCOpJxLB1QFIw8UT0kJ8CnIOC948CLkxi8+eaZF+j1ZRnqEW2PbRW9mE0cosuT3M8Wpae/xowX0G+O/BhDV+1mdtkT5juTtsVfZlfW+U6qiWzCJTFzOXnV7IozEBK3lgV+DtSzvZN/x+LgrFBx5ExGr3whxbdex2csvM1tYplnatY93aor3VJ07uA983sYjNbNCfX7nsllYK4EfgFzfGoR6ftPpXEpt/L7j4a9dXXgT8A1wBvm9ndKakkk3sN9YurkWXxTOAZ4DWrf/mJevbxet8vN6Lr0ws9TwAws7WRB+F6d9/f3V9x9y/cfSKyzL0JHJCetdm6pgCrIAWvK6o7uAW6fuuh/vJxSsAJgroTFraOyf4oOH6Yu1+QX2Bm29OygORHadoiWL+EWmRBbqOiApXRmguk9GvbzBZBL6JngEElsT3blzT7COhZrSvC3R81s4nAb8xsPxQj1BM4ofiwbW98j7t/bmZvAr3NbPGSuJz/TNPJVIm7Pw38pjg/JV6Ags0zVkIvkucrxK3taGY7Ak+5+4Bq92FOJvWhI5Hr68coMWAoSlxYClgriebvlX/Vuh1TTbyj0MfLSsW+YSrVUrZ/F6HyLd1R+MJWKKv6VjNbLrNcJ5fxdmk7/ZFSMQJZZz9393PTdhqmj8+K+wV4F12jrrl5m6Zpi3I17v6FmT2GzuuK5JIMkiVz3/SbjqkUSCdmvPeCoK6EwtYx+WmaXlWybHDJvEfSdEMzO7QNV2ctsgAfAiuUxNmAXDy10hdZfm8rUdb60BzcW9znTVEG3zVVbmcsKsi5C3owT0v/F2lvfA/IQrNz2r/zC7Ib52RmmmQl3AUp0ONzi66m3H24OKqb9jIqIfF6e7Y/p+LubyD32GXA88CaZtYzxbJl2ZwbU4U7voReqH9dXaKsdUPKdmv79hGK27o5JVYMR8rkVQW5qchN/LiZPYQseVuiLFtovD5et3WlJJJl0f3dlFuUWS0rZbxn86u1lmUxcOOqlA+CmgmFrWPSlKZrk6u3lWJVdi8Ku3v2oB6E4t6KmZ89gc/d/ataZNOsx9CLZRgzZlcORW6emT22Nc1s3lxgbzekUJX12VORwjbKzB4ryRLtXZKMcClwIiq9sARSEMsSOZpof3zPGegFdJiZXevNhUCXQkPvfE3hxZTKMiwEvOXuH+fmdwW+KsTidKa5zMvp+eNw96PLdii5hDYBHnH3Fn1mdpCO/1XgNS+p4/d9YCqC2tfdHy0s6opKPUyl+SV+IYpr2tvMrnL3+wrr6tNG4sE7KO5pZTPr5u6fpXadUVmRXsUGplqCd5Qk6yySpl8kuVXReX27ILdoXg4ar4/Xui5TEdxu7v5SYf3dUImWHwK3J5dmxv1oJI89zOzM/PPBzDZGz66vgIdy8+cBFsiuU27+7sD2SIENhS2YZYTC1jFxpCD9PQVFv4kqcG8EXIFicIrshCwpfzWzbdLfnZCLYQP0Fdo0E7Knpn0Zm7IR30Dul0EotiNzPVR3YO5TzGw8Kq3wpJndhh7q66MH6JOoeGy+zW2m2nOHA8+lFP030MtpTWQJGVpo84WZXYjcr6AYn1mCuz9kZqORK/tpM7sSuZG3Q6UXRnjL6uzHIdf2MPTSyRgCnGNmd6BjXBApXksBN6FCsu3GzLZEVhhorj+1hmnMRoD33H1koc3BNJc1yK7RMDNbM/39gM84rmgWQ9siU/h7pDfwiJk9h+JEs3O8KToPYzLLr7u/Z2Y7oOGJ7jazCagg8YIovvDHqAREKSl7dQyqw/YvU+Hj+dA17oHcdUMKzcYDX5nZA+ge7ISsaqsgK1pWO2wH4Pdmdi/KevwQlazYDCk8J8/MyWnlWOrWx2diXcui8/8wqrn3DrqO66Nr9gotP2SvROdqPfTMuAa5ppdD17oTyqrOZwUvgOIFb0fnFHTuV0WW6q1KvAxBUDci6aADkmKYhqCvv01QTbIFUabgGRXavIosYf+DLAX7ALuhDNNR5ALVa5SdhB56D6KXwR7IArEG5dl61bAbyt7qgr6oN0TK3yAqBBu7+xHAr9A52RQpLhuiB/hFFbaTZZa9hbLqZhnufgBSGqegc7QLKmi6mbsX68G1xmR0rgejF9qOyJ05DNg8Z/lsLwPQy3RXmsuo9M3N27akzUa55VnB10G5eWsW5Pul6XgahybkHpyC7rH90X31KlKCZoj1cvebkOt/HIp3GomyCKdRsE5X4HBUGf9LlASzNXJhr0q5m/pgNJ7lSijofRhKpDgIjSiSKQyXoWSkhVG8436pzXhgoJcMbN5e6tjHa13Xy8i6/0NUQ20kSgZ4A9VsHODuM5zLFOqxCSq2PAmFRRyAMn9vBjb0Qv06pOiOR0rd3unXBfWXASUKaRDUlU7TptUz0zoIOg7JbXs+cKy7H96GeFBnkhVlT2BJr199vyAIgjmSsLAFcyUpc25/5I6bZe7QoFUGA2eHshYEQdA2YWEL5ipSPNVglLCxHnCau49otVEQBEEQfM9E0kEwt7Eeijn5AGWdVjNAdxAEQRB8r4SFLQiCIAiCoMGJGLYgCIIgCIIGJxS2IAiCIAiCBicUtiAIgiAIggYnFLYgCIIgCIIGJxS2IAiCIAiCBicUtiAIgiAIggbn/wF/xhgKcOjDCAAAAABJRU5ErkJggg==\n",
+      "text/html": [
+       "<div class=\"comment\">Saved: ./run/figs/GTS4-02-confusion-matrix</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 864x576 with 2 Axes>"
+       "<Figure size 1152x1152 with 2 Axes>"
       ]
      },
      "metadata": {
@@ -574,9 +624,27 @@
     "y_sigmoid = model.predict(x_test)\n",
     "y_pred    = np.argmax(y_sigmoid, axis=-1)\n",
     "\n",
-    "conf_mat = confusion_matrix(y_test,y_pred, normalize=\"true\", labels=range(43))\n",
-    "\n",
-    "ooo.plot_confusion_matrix(conf_mat,annot=False)"
+    "cmap = plt.get_cmap('Oranges')\n",
+    "pwk.plot_confusion_matrix(y_test,y_pred,range(43), figsize=(16, 16),normalize=False, cmap=cmap, save_as='02-confusion-matrix')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "End time is : Thursday 17 December 2020, 18:23:00\n",
+      "Duration is : 00:01:44 577ms\n",
+      "This notebook ends here\n"
+     ]
+    }
+   ],
+   "source": [
+    "pwk.end()"
    ]
   },
   {
@@ -619,7 +687,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/GTSRB/05-Full-convolutions.ipynb b/GTSRB/05-Full-convolutions.ipynb
index 5a4833ab1228e40dc84dc81b5a9059f385d97d53..6735080cad6a3322d9ee9cec220f05342eaa9235 100644
--- a/GTSRB/05-Full-convolutions.ipynb
+++ b/GTSRB/05-Full-convolutions.ipynb
@@ -26,105 +26,159 @@
     " - Save a Pandas/h5 report\n",
     " - Write to be run in batch mode\n",
     "\n",
-    "## Step 1 - Import\n",
-    "### 1.1 - Python"
+    "## Step 1 - Import and init"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "import tensorflow as tf\n",
-    "from tensorflow import keras\n",
-    "\n",
-    "import numpy as np\n",
-    "import h5py\n",
-    "import sys,os,time,json\n",
-    "import random\n",
-    "\n",
-    "from IPython.display import display\n",
-    "\n",
-    "VERSION='1.6'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 1.2 - Where are we ? "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       "\n",
+       "div.warn {    \n",
+       "    background-color: #fcf2f2;\n",
+       "    border-color: #dFb5b4;\n",
+       "    border-left: 5px solid #dfb5b4;\n",
+       "    padding: 0.5em;\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;;\n",
+       "    }\n",
+       "\n",
+       "\n",
+       "\n",
+       "div.nota {    \n",
+       "    background-color: #DAFFDE;\n",
+       "    border-left: 5px solid #92CC99;\n",
+       "    padding: 0.5em;\n",
+       "    }\n",
+       "\n",
+       "div.todo:before { content:url(data:image/svg+xml;base64,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);\n",
+       "    float:left;\n",
+       "    margin-right:20px;\n",
+       "    margin-top:-20px;\n",
+       "    margin-bottom:20px;\n",
+       "}\n",
+       "div.todo{\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;\n",
+       "    margin-top:40px;\n",
+       "}\n",
+       "div.todo ul{\n",
+       "    margin: 0.2em;\n",
+       "}\n",
+       "div.todo li{\n",
+       "    margin-left:60px;\n",
+       "    margin-top:0;\n",
+       "    margin-bottom:0;\n",
+       "}\n",
+       "\n",
+       "div .comment{\n",
+       "    font-size:0.8em;\n",
+       "    color:#696969;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "</style>\n",
+       "\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**FIDLE 2020 - Practical Work Module**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "We will use : dataset_dir=/gpfswork/rech/mlh/commun/datasets/GTSRB\n"
+      "Version              : 0.6.1 DEV\n",
+      "Notebook id          : GTS5\n",
+      "Run time             : Thursday 17 December 2020, 22:07:09\n",
+      "TensorFlow version   : 2.1.0\n",
+      "Keras version        : 2.2.4-tf\n",
+      "Datasets dir         : /gpfswork/rech/mlh/uja62cb/datasets\n",
+      "Running mode         : full\n",
+      "Update keras cache   : False\n",
+      "Save figs            : True\n",
+      "Path figs            : ./run/figs\n"
      ]
     }
    ],
    "source": [
-    "# At GRICAD\n",
-    "# dataset_dir = '/bettik/PROJECTS/pr-fidle/datasets/GTSRB/'\n",
-    "\n",
-    "# At IDRIS\n",
-    "dataset_dir = f'{os.getenv(\"ALL_CCFRWORK\",\"nowhere\")}/datasets/GTSRB'\n",
+    "import tensorflow as tf\n",
+    "from tensorflow import keras\n",
+    "import numpy as np\n",
+    "import h5py\n",
+    "import sys,os,time,json\n",
+    "import random\n",
+    "from IPython.display import display\n",
+    "sys.path.append('..')\n",
+    "import fidle.pwk as pwk\n",
     "\n",
-    "# At Home\n",
-    "# dataset_dir = f'{os.getenv(\"HOME\",\"nowhere\")}/datasets/GTSRB'\n",
+    "VERSION='1.6'\n",
     "\n",
-    "print(f'We will use : dataset_dir={dataset_dir}')\n"
+    "datasets_dir = pwk.init('GTS5')"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Step 2 - Init and start"
+    "## Step 2 - Start"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "Full Convolutions Notebook\n",
+      "Full Convolutions Notebook :\n",
       "  Version            : 1.6\n",
-      "  Now is             : Wednesday 09 September 2020 - 16h32m32s\n",
+      "  Now is             : Thursday 17 December 2020 - 22h07m09s\n",
       "  OAR id             : ??\n",
-      "  SLURM id           : 231099\n",
-      "  Tag id             : 029938\n",
+      "  SLURM id           : 1874675\n",
+      "  Tag id             : 002079\n",
       "  Working directory  : /gpfsdswork/projects/rech/mlh/uja62cb/fidle/GTSRB\n",
-      "  Dataset_dir        : /gpfswork/rech/mlh/commun/datasets/GTSRB\n",
-      "  TensorFlow version : 2.2.0\n",
-      "  Keras version      : 2.3.0-tf\n",
-      "  for tensorboard    : --logdir /gpfsdswork/projects/rech/mlh/uja62cb/fidle/GTSRB/run/logs_029938\n"
+      "  Output  directory  : ./run\n",
+      "  for tensorboard    : --logdir /gpfsdswork/projects/rech/mlh/uja62cb/fidle/GTSRB/run/logs_002079\n"
      ]
     }
    ],
    "source": [
+    "random.seed(time.time())\n",
+    "\n",
     "# ---- Where I am ?\n",
     "now    = time.strftime(\"%A %d %B %Y - %Hh%Mm%Ss\")\n",
     "here   = os.getcwd()\n",
-    "random.seed(time.time())\n",
     "tag_id = '{:06}'.format(random.randint(0,99999))\n",
     "\n",
     "# ---- Who I am ?\n",
     "oar_id   = os.getenv(\"OAR_JOB_ID\",  \"??\")\n",
     "slurm_id = os.getenv(\"SLURM_JOBID\", \"??\")\n",
     "\n",
-    "print('\\nFull Convolutions Notebook')\n",
+    "print('Full Convolutions Notebook :')\n",
     "print('  Version            : {}'.format(VERSION))\n",
     "print('  Now is             : {}'.format(now))\n",
     "print('  OAR id             : {}'.format(oar_id))\n",
@@ -132,15 +186,12 @@
     "print('  Tag id             : {}'.format(tag_id))\n",
     "print('  Working directory  : {}'.format(here))\n",
     "print('  Output  directory  : ./run')\n",
-    "print('  Dataset_dir        : {}'.format(dataset_dir))\n",
-    "print('  TensorFlow version :',tf.__version__)\n",
-    "print('  Keras version      :',tf.keras.__version__)\n",
     "print('  for tensorboard    : --logdir {}/run/logs_{}'.format(here,tag_id))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -170,7 +221,9 @@
     "        name        : dataset name, without .h5\n",
     "    Returns:    x_train,y_train,x_test,y_test data'''\n",
     "    # ---- Read dataset\n",
-    "    filename=f'{dataset_dir}/{name}.h5'\n",
+    "    filename = f'{dataset_dir}/GTSRB/enhanced/{name}.h5'\n",
+    "    size     = os.path.getsize(filename)/(1024*1024)\n",
+    "\n",
     "    with  h5py.File(filename,'r') as f:\n",
     "        x_train = f['x_train'][:]\n",
     "        y_train = f['y_train'][:]\n",
@@ -178,7 +231,7 @@
     "        y_test  = f['y_test'][:]\n",
     "\n",
     "    # ---- done\n",
-    "    return x_train,y_train,x_test,y_test    "
+    "    return x_train,y_train,x_test,y_test,size"
    ]
   },
   {
@@ -278,13 +331,13 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "def multi_run(dataset_dir, datasets, models, datagen=None,\n",
+    "def multi_run(datasets_dir, datasets, models, datagen=None,\n",
     "              train_size=1, test_size=1, batch_size=64, epochs=16, \n",
     "              verbose=0, extension_dir='last'):\n",
     "    \"\"\"\n",
     "    Launches a dataset-model combination\n",
     "    args:\n",
-    "        dataset_dir    : Directory of the datasets\n",
+    "        datasets_dir   : Directory of the datasets\n",
     "        datasets       : List of dataset (whitout .h5)\n",
     "        models         : List of model like { \"model name\":get_model(), ...}\n",
     "        datagen        : Data generator or None (None)\n",
@@ -317,8 +370,7 @@
     "        print(\"\\nDataset : \",d_name)\n",
     "\n",
     "        # ---- Read dataset\n",
-    "        x_train,y_train,x_test,y_test = read_dataset(dataset_dir, d_name)\n",
-    "        d_size=os.path.getsize(f'{dataset_dir}/{d_name}.h5')/(1024*1024)\n",
+    "        x_train,y_train,x_test,y_test, d_size = read_dataset(datasets_dir, d_name)\n",
     "        output['Dataset'].append(d_name)\n",
     "        output['Size'].append(d_size)\n",
     "        \n",
@@ -396,22 +448,23 @@
       "---- Run --------------------------------------------------\n",
       "\n",
       "Dataset :  set-24x24-L\n",
-      "    Run model v1  : Accuracy=86.42 and Duration=8.58\n",
-      "    Run model v2  : Accuracy=89.23 and Duration=5.82\n",
-      "    Run model v3  : Accuracy=88.20 and Duration=7.61\n",
+      "    Run model v1  : WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.218721). Check your callbacks.\n",
+      "Accuracy=88.99 and Duration=8.01\n",
+      "    Run model v2  : Accuracy=87.77 and Duration=4.63\n",
+      "    Run model v3  : Accuracy=88.80 and Duration=5.25\n",
       "\n",
       "Dataset :  set-24x24-RGB\n",
-      "    Run model v1  : Accuracy=88.80 and Duration=6.63\n",
-      "    Run model v2  : Accuracy=90.30 and Duration=5.70\n",
-      "    Run model v3  : Accuracy=89.23 and Duration=7.30\n",
+      "    Run model v1  : Accuracy=89.98 and Duration=5.12\n",
+      "    Run model v2  : Accuracy=89.35 and Duration=4.56\n",
+      "    Run model v3  : Accuracy=86.70 and Duration=5.22\n",
       "\n",
       "Dataset :  set-48x48-RGB\n",
-      "    Run model v1  : Accuracy=89.79 and Duration=22.75\n",
-      "    Run model v2  : Accuracy=91.81 and Duration=12.17\n",
-      "    Run model v3  : Accuracy=93.39 and Duration=13.33\n",
+      "    Run model v1  : Accuracy=88.64 and Duration=18.32\n",
+      "    Run model v2  : Accuracy=89.71 and Duration=10.17\n",
+      "    Run model v3  : Accuracy=92.16 and Duration=11.10\n",
       "\n",
-      "Report saved as  ./run/report_029938.json\n",
-      "Duration : 95.78 s\n",
+      "Report saved as  ./run/report_002079.json\n",
+      "Duration : 77.23 s\n",
       "-----------------------------------------------------------\n"
      ]
     }
@@ -424,14 +477,14 @@
     "# --------- Datasets, models, and more.. -----------------------------------\n",
     "#\n",
     "# ---- For tests\n",
-    "# datasets   = ['set-24x24-L', 'set-24x24-RGB', 'set-48x48-RGB']\n",
-    "# models     = {'v1':get_model_v1, 'v2':get_model_v2, 'v3':get_model_v3}\n",
-    "# batch_size = 64\n",
-    "# epochs     = 5\n",
-    "# train_size = 0.2\n",
-    "# test_size  = 0.2\n",
-    "# with_datagen = False\n",
-    "# verbose      = 0\n",
+    "datasets   = ['set-24x24-L', 'set-24x24-RGB', 'set-48x48-RGB']\n",
+    "models     = {'v1':get_model_v1, 'v2':get_model_v2, 'v3':get_model_v3}\n",
+    "batch_size = 64\n",
+    "epochs     = 5\n",
+    "train_size = 0.2\n",
+    "test_size  = 0.2\n",
+    "with_datagen = False\n",
+    "verbose      = 0\n",
     "#\n",
     "# ---- All possibilities\n",
     "# datasets     = ['set-24x24-L', 'set-24x24-RGB', 'set-48x48-L', 'set-48x48-RGB', 'set-24x24-L-LHE', 'set-24x24-RGB-HE', 'set-48x48-L-LHE', 'set-48x48-RGB-HE']\n",
@@ -444,14 +497,14 @@
     "# verbose      = 0\n",
     "#\n",
     "# ---- Data augmentation\n",
-    "datasets     = ['set-48x48-RGB']\n",
-    "models       = {'v2':get_model_v2}\n",
-    "batch_size   = 64\n",
-    "epochs       = 20\n",
-    "train_size   = 1\n",
-    "test_size    = 1\n",
-    "with_datagen = True\n",
-    "verbose      = 0\n",
+    "# datasets     = ['set-48x48-RGB']\n",
+    "# models       = {'v2':get_model_v2}\n",
+    "# batch_size   = 64\n",
+    "# epochs       = 20\n",
+    "# train_size   = 1\n",
+    "# test_size    = 1\n",
+    "# with_datagen = True\n",
+    "# verbose      = 0\n",
     "#\n",
     "# ---------------------------------------------------------------------------\n",
     "\n",
@@ -470,19 +523,22 @@
     "    \n",
     "# ---- Run\n",
     "#\n",
-    "output = multi_run(dataset_dir,\n",
-    "                   datasets, models,\n",
-    "                   datagen=datagen,\n",
-    "                   train_size=train_size, test_size=test_size,\n",
-    "                   batch_size=batch_size, epochs=epochs,\n",
-    "                   verbose=verbose,\n",
-    "                   extension_dir=tag_id)\n",
+    "output = multi_run(datasets_dir,\n",
+    "                   datasets, \n",
+    "                   models,\n",
+    "                   datagen       = datagen,\n",
+    "                   train_size    = train_size,\n",
+    "                   test_size     = test_size,\n",
+    "                   batch_size    = batch_size,\n",
+    "                   epochs        = epochs,\n",
+    "                   verbose       = verbose,\n",
+    "                   extension_dir = tag_id)\n",
     "\n",
     "# ---- Save report\n",
     "#\n",
     "report={}\n",
     "report['output']=output\n",
-    "report['description']='train_size={} test_size={} batch_size={} epochs={} data_aug={}'.format(train_size,test_size,batch_size,epochs,with_datagen)\n",
+    "report['description'] = f'train_size={train_size} test_size={test_size} batch_size={batch_size} epochs={epochs} data_aug={with_datagen}'\n",
     "\n",
     "report_name=f'./run/report_{tag_id}.json'\n",
     "\n",
@@ -512,16 +568,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "Wednesday 9 September 2020, 16:34:07\n",
-      "The work is done.\n",
-      "\n"
+      "End time is : Thursday 17 December 2020, 22:08:26\n",
+      "Duration is : 00:01:17 312ms\n",
+      "This notebook ends here\n"
      ]
     }
    ],
    "source": [
-    "print('\\n{}'.format(time.strftime(\"%A %-d %B %Y, %H:%M:%S\")))\n",
-    "print(\"The work is done.\\n\")"
+    "pwk.end()"
    ]
   },
   {
@@ -549,7 +603,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/GTSRB/06-Notebook-as-a-batch.ipynb b/GTSRB/06-Notebook-as-a-batch.ipynb
index 5a699881dd6595b5b3b5fef54abe64050685747d..a4b46f5cbb9c4640534496a085c469bacfa46469 100644
--- a/GTSRB/06-Notebook-as-a-batch.ipynb
+++ b/GTSRB/06-Notebook-as-a-batch.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
     "\n",
-    "# <!-- TITLE --> [GTS6] - CNN with GTSRB dataset - Full convolutions as a batch\n",
+    "# <!-- TITLE --> [GTS6] - Full convolutions as a batch\n",
     "<!-- DESC --> Episode 6 : Run Full convolution notebook as a batch\n",
     "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
     "\n",
@@ -81,6 +81,12 @@
        "    margin-bottom:0;\n",
        "}\n",
        "\n",
+       "div .comment{\n",
+       "    font-size:0.8em;\n",
+       "    color:#696969;\n",
+       "}\n",
+       "\n",
+       "\n",
        "\n",
        "</style>\n",
        "\n"
@@ -92,19 +98,32 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "data": {
+      "text/markdown": [
+       "**FIDLE 2020 - Practical Work Module**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "FIDLE 2020 - Practical Work Module\n",
-      "Version              : 0.57 DEV\n",
-      "Run time             : Thursday 10 September 2020, 21:34:05\n",
-      "TensorFlow version   : 2.2.0\n",
-      "Keras version        : 2.3.0-tf\n",
-      "Current place        : Fidle at IDRIS\n",
-      "Dataset dir          : /gpfswork/rech/mlh/commun/datasets\n",
-      "Update keras cache   : Done\n"
+      "Version              : 0.6.1 DEV\n",
+      "Notebook id          : GTS6\n",
+      "Run time             : Friday 18 December 2020, 13:33:50\n",
+      "TensorFlow version   : 2.1.0\n",
+      "Keras version        : 2.2.4-tf\n",
+      "Datasets dir         : /gpfswork/rech/mlh/uja62cb/datasets\n",
+      "Running mode         : full\n",
+      "Update keras cache   : False\n",
+      "Save figs            : True\n",
+      "Path figs            : ./run/figs\n"
      ]
     }
    ],
@@ -112,10 +131,9 @@
     "import sys\n",
     "\n",
     "sys.path.append('..')\n",
-    "import fidle.pwk as ooo\n",
-    "place, datasets_dir = ooo.init()\n",
+    "import fidle.pwk as pwk\n",
     "\n",
-    "ooo.mkdir('./run')"
+    "datasets_dir = pwk.init('GTS6')"
    ]
   },
   {
@@ -126,23 +144,28 @@
     "\n",
     "Two simple solutions are possible :-)\n",
     "\n",
-    " - **Option 1 - Run notebook in a command line (a good choice)**\n",
+    " - **Option 1 - As a notebook ! (a good choice)**\n",
     "\n",
-    "  Very simple.\n",
+    "  Very simple.  \n",
     "  The result is the executed notebook, so we can retrieve all the cell'soutputs of the notebook :  \n",
     "  ```jupyter nbconvert (...) --to notebook --execute <notebook>```   \n",
     "\n",
-    "  For example :   \n",
-    "  ```jupyter nbconvert --ExecutePreprocessor.timeout=-1 --to notebook --execute my_notebook.ipynb'```\n",
+    "  Example :   \n",
+    "  ```jupyter nbconvert --ExecutePreprocessor.timeout=-1 --to notebook --execute my_notebook.ipynb'```  \n",
     "  The result will be a notebook: 'my_notebook.nbconvert.ipynb'.\n",
+    "  \n",
+    "  See: [nbconvert documentation](https://nbconvert.readthedocs.io/en/latest/usage.html#convert-notebook)\n",
     "\n",
-    " - **Option 2 - Run notebook as a script**\n",
+    " - **Option 2 - As a script**\n",
     "\n",
     "  Very simple too, but with some constraints on the notebook.  \n",
     "  We will convert the notebook to a Python script (IPython, to be precise) :  \n",
     "  ```jupyter nbconvert --to script <notebook>```  \n",
+    "  \n",
     "  Then we can execute this script :  \n",
-    "  ```ipython <script>```"
+    "  ```ipython <script>```\n",
+    "  \n",
+    "  See: [nbconvert documentation](https://nbconvert.readthedocs.io/en/latest/usage.html#executable-script)"
    ]
   },
   {
@@ -165,7 +188,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-rw-r--r-- 1 uja62cb mlh 13294 Sep 10 21:34 ./run/full_convolutions.py\n"
+      "-rw-r--r-- 1 uja62cb mlh 12896 Dec 18 13:34 ./run/full_convolutions.py\n"
      ]
     },
     {
@@ -173,7 +196,7 @@
      "output_type": "stream",
      "text": [
       "[NbConvertApp] Converting notebook 05-Full-convolutions.ipynb to script\n",
-      "[NbConvertApp] Writing 13294 bytes to ./run/full_convolutions.py\n"
+      "[NbConvertApp] Writing 12896 bytes to ./run/full_convolutions.py\n"
      ]
     }
    ],
@@ -190,8 +213,8 @@
     "### 2.2 - Batch submission\n",
     "\n",
     "See the two examples of bash launch script :\n",
-    " - `batch_oar.sh`   GRICAD example, using OAR\n",
-    " - `batch_slurm.sh` IDRIS example, using Slurm"
+    " - `batch_slurm.sh` using Slurm (like at IDRIS)\n",
+    " - `batch_oar.sh`   using OAR (like at GRICAD)"
    ]
   },
   {
@@ -205,7 +228,6 @@
     "# hostname\n",
     "jean-zay2\n",
     "\n",
-    "\n",
     "# sbatch $WORK/fidle/GTSRB/batch_slurm.sh \n",
     "Submitted batch job 249794\n",
     "\n",
@@ -251,10 +273,30 @@
     "```\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "End time is : Friday 18 December 2020, 13:34:12\n",
+      "Duration is : 00:00:22 377ms\n",
+      "This notebook ends here\n"
+     ]
+    }
+   ],
+   "source": [
+    "pwk.end()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "----\n",
     "<div class='todo'>\n",
     " Your mission if you accept it: Run our full_convolution code in batch mode.<br>\n",
     " For that :\n",
@@ -292,7 +334,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/GTSRB/07-Show-report.ipynb b/GTSRB/07-Show-report.ipynb
index 04949aa5f69401956c3cabb7a1dec27d91fc97d8..247f0ce766a5bda38c97877a43c1ff640d6ffcdb 100644
--- a/GTSRB/07-Show-report.ipynb
+++ b/GTSRB/07-Show-report.ipynb
@@ -7,7 +7,7 @@
     "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
     "\n",
     "# <!-- TITLE --> [GTS7] - CNN with GTSRB dataset - Show reports\n",
-    "<!-- DESC -->  Episode 7 : Displaying the reports of the different jobs\n",
+    "<!-- DESC -->  Episode 7 : Displaying a jobs report\n",
     "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
     "\n",
     "## Objectives :\n",
@@ -27,19 +27,112 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       "\n",
+       "div.warn {    \n",
+       "    background-color: #fcf2f2;\n",
+       "    border-color: #dFb5b4;\n",
+       "    border-left: 5px solid #dfb5b4;\n",
+       "    padding: 0.5em;\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;;\n",
+       "    }\n",
+       "\n",
+       "\n",
+       "\n",
+       "div.nota {    \n",
+       "    background-color: #DAFFDE;\n",
+       "    border-left: 5px solid #92CC99;\n",
+       "    padding: 0.5em;\n",
+       "    }\n",
+       "\n",
+       "div.todo:before { content:url(data:image/svg+xml;base64,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);\n",
+       "    float:left;\n",
+       "    margin-right:20px;\n",
+       "    margin-top:-20px;\n",
+       "    margin-bottom:20px;\n",
+       "}\n",
+       "div.todo{\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;\n",
+       "    margin-top:40px;\n",
+       "}\n",
+       "div.todo ul{\n",
+       "    margin: 0.2em;\n",
+       "}\n",
+       "div.todo li{\n",
+       "    margin-left:60px;\n",
+       "    margin-top:0;\n",
+       "    margin-bottom:0;\n",
+       "}\n",
+       "\n",
+       "div .comment{\n",
+       "    font-size:0.8em;\n",
+       "    color:#696969;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "</style>\n",
+       "\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**FIDLE 2020 - Practical Work Module**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Version              : 0.6.1 DEV\n",
+      "Notebook id          : GTS7\n",
+      "Run time             : Friday 18 December 2020, 13:52:25\n",
+      "TensorFlow version   : 2.1.0\n",
+      "Keras version        : 2.2.4-tf\n",
+      "Datasets dir         : /gpfswork/rech/mlh/uja62cb/datasets\n",
+      "Running mode         : full\n",
+      "Update keras cache   : False\n",
+      "Save figs            : True\n",
+      "Path figs            : ./run/figs\n"
+     ]
+    }
+   ],
    "source": [
     "import pandas as pd\n",
-    "import os,glob,json\n",
+    "import sys,os,glob,json\n",
     "from pathlib import Path\n",
-    "from IPython.display import display, Markdown"
+    "from IPython.display import display, Markdown\n",
+    "\n",
+    "sys.path.append('..')\n",
+    "import fidle.pwk as pwk\n",
+    "\n",
+    "datasets_dir = pwk.init('GTS7')"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 2/ A nice function"
+    "## 2/ Few nice functions"
    ]
   },
   {
@@ -59,7 +152,7 @@
     "    output      = dict_report['output']\n",
     "    description = dict_report['description']\n",
     "    # ---- about\n",
-    "    print(\"\\n\\n\\nReport : \",Path(file).stem)\n",
+    "    pwk.subtitle(f'Report : {Path(file).stem}')\n",
     "    print(    \"Desc.  : \",description,'\\n')\n",
     "    # ---- Create a pandas\n",
     "    report       = pd.DataFrame (output)\n",
@@ -89,113 +182,13 @@
    "execution_count": 3,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\n",
-      "Report :  report_018825\n",
-      "Desc.  :  train_size=1 test_size=1 batch_size=64 epochs=16 data_aug=False \n",
-      "\n"
-     ]
-    },
     {
      "data": {
-      "text/html": [
-       "<style  type=\"text/css\" >\n",
-       "    #T_ae71bb00_f59c_11ea_bf69_80810002fe80row2_col2 {\n",
-       "            background-color:  yellow;\n",
-       "        }    #T_ae71bb00_f59c_11ea_bf69_80810002fe80row3_col4 {\n",
-       "            background-color:  yellow;\n",
-       "        }    #T_ae71bb00_f59c_11ea_bf69_80810002fe80row6_col6 {\n",
-       "            background-color:  yellow;\n",
-       "        }</style><table id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >Dataset</th>        <th class=\"col_heading level0 col1\" >Size</th>        <th class=\"col_heading level0 col2\" >v1_Accuracy</th>        <th class=\"col_heading level0 col3\" >v1_Duration</th>        <th class=\"col_heading level0 col4\" >v2_Accuracy</th>        <th class=\"col_heading level0 col5\" >v2_Duration</th>        <th class=\"col_heading level0 col6\" >v3_Accuracy</th>        <th class=\"col_heading level0 col7\" >v3_Duration</th>    </tr></thead><tbody>\n",
-       "                <tr>\n",
-       "                                <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row0_col0\" class=\"data row0 col0\" >set-24x24-L</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row0_col1\" class=\"data row0 col1\" >228.77 Mo</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row0_col2\" class=\"data row0 col2\" >95.80 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row0_col3\" class=\"data row0 col3\" >49.0 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row0_col4\" class=\"data row0 col4\" >96.35 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row0_col5\" class=\"data row0 col5\" >52.4 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row0_col6\" class=\"data row0 col6\" >95.57 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row0_col7\" class=\"data row0 col7\" >50.0 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row1_col0\" class=\"data row1 col0\" >set-24x24-RGB</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row1_col1\" class=\"data row1 col1\" >684.39 Mo</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row1_col2\" class=\"data row1 col2\" >96.13 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row1_col3\" class=\"data row1 col3\" >47.4 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row1_col4\" class=\"data row1 col4\" >97.17 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row1_col5\" class=\"data row1 col5\" >54.3 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row1_col6\" class=\"data row1 col6\" >95.51 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row1_col7\" class=\"data row1 col7\" >53.1 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row2_col0\" class=\"data row2 col0\" >set-48x48-L</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row2_col1\" class=\"data row2 col1\" >913.90 Mo</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row2_col2\" class=\"data row2 col2\" >96.50 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row2_col3\" class=\"data row2 col3\" >133.5 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row2_col4\" class=\"data row2 col4\" >97.83 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row2_col5\" class=\"data row2 col5\" >116.1 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row2_col6\" class=\"data row2 col6\" >97.36 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row2_col7\" class=\"data row2 col7\" >91.3 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row3_col0\" class=\"data row3 col0\" >set-48x48-RGB</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row3_col1\" class=\"data row3 col1\" >2736.36 Mo</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row3_col2\" class=\"data row3 col2\" >96.44 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row3_col3\" class=\"data row3 col3\" >139.7 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row3_col4\" class=\"data row3 col4\" >98.05 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row3_col5\" class=\"data row3 col5\" >123.1 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row3_col6\" class=\"data row3 col6\" >97.55 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row3_col7\" class=\"data row3 col7\" >98.4 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row4_col0\" class=\"data row4 col0\" >set-24x24-L-LHE</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row4_col1\" class=\"data row4 col1\" >228.77 Mo</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row4_col2\" class=\"data row4 col2\" >95.90 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row4_col3\" class=\"data row4 col3\" >45.3 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row4_col4\" class=\"data row4 col4\" >96.84 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row4_col5\" class=\"data row4 col5\" >51.9 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row4_col6\" class=\"data row4 col6\" >95.48 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row4_col7\" class=\"data row4 col7\" >50.4 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row5_col0\" class=\"data row5 col0\" >set-24x24-RGB-HE</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row5_col1\" class=\"data row5 col1\" >684.39 Mo</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row5_col2\" class=\"data row5 col2\" >94.92 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row5_col3\" class=\"data row5 col3\" >47.3 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row5_col4\" class=\"data row5 col4\" >96.84 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row5_col5\" class=\"data row5 col5\" >54.4 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row5_col6\" class=\"data row5 col6\" >94.24 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row5_col7\" class=\"data row5 col7\" >52.4 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row6_col0\" class=\"data row6 col0\" >set-48x48-L-LHE</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row6_col1\" class=\"data row6 col1\" >913.90 Mo</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row6_col2\" class=\"data row6 col2\" >96.48 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row6_col3\" class=\"data row6 col3\" >132.7 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row6_col4\" class=\"data row6 col4\" >97.97 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row6_col5\" class=\"data row6 col5\" >116.9 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row6_col6\" class=\"data row6 col6\" >97.78 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row6_col7\" class=\"data row6 col7\" >91.1 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row7_col0\" class=\"data row7 col0\" >set-48x48-RGB-HE</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row7_col1\" class=\"data row7 col1\" >2736.36 Mo</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row7_col2\" class=\"data row7 col2\" >95.13 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row7_col3\" class=\"data row7 col3\" >140.4 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row7_col4\" class=\"data row7 col4\" >97.77 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row7_col5\" class=\"data row7 col5\" >123.9 s</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row7_col6\" class=\"data row7 col6\" >97.17 %</td>\n",
-       "                        <td id=\"T_ae71bb00_f59c_11ea_bf69_80810002fe80row7_col7\" class=\"data row7 col7\" >99.2 s</td>\n",
-       "            </tr>\n",
-       "    </tbody></table>"
+      "text/markdown": [
+       "<br>**Report : report_002079**"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x1535e95bcd50>"
+       "<IPython.core.display.Markdown object>"
       ]
      },
      "metadata": {},
@@ -205,11 +198,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "\n",
-      "\n",
-      "Report :  report_027693\n",
-      "Desc.  :  train_size=1 test_size=1 batch_size=64 epochs=20 data_aug=True \n",
+      "Desc.  :  train_size=0.2 test_size=0.2 batch_size=64 epochs=5 data_aug=False \n",
       "\n"
      ]
     },
@@ -217,252 +206,75 @@
      "data": {
       "text/html": [
        "<style  type=\"text/css\" >\n",
-       "    #T_ae74e9a6_f59c_11ea_bf69_80810002fe80row0_col2 {\n",
+       "    #T_e0e9316a_412f_11eb_9960_fdc85f498384row1_col2 {\n",
        "            background-color:  yellow;\n",
-       "        }</style><table id=\"T_ae74e9a6_f59c_11ea_bf69_80810002fe80\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >Dataset</th>        <th class=\"col_heading level0 col1\" >Size</th>        <th class=\"col_heading level0 col2\" >v2_Accuracy</th>        <th class=\"col_heading level0 col3\" >v2_Duration</th>    </tr></thead><tbody>\n",
-       "                <tr>\n",
-       "                                <td id=\"T_ae74e9a6_f59c_11ea_bf69_80810002fe80row0_col0\" class=\"data row0 col0\" >set-48x48-RGB</td>\n",
-       "                        <td id=\"T_ae74e9a6_f59c_11ea_bf69_80810002fe80row0_col1\" class=\"data row0 col1\" >2736.36 Mo</td>\n",
-       "                        <td id=\"T_ae74e9a6_f59c_11ea_bf69_80810002fe80row0_col2\" class=\"data row0 col2\" >98.79 %</td>\n",
-       "                        <td id=\"T_ae74e9a6_f59c_11ea_bf69_80810002fe80row0_col3\" class=\"data row0 col3\" >625.0 s</td>\n",
-       "            </tr>\n",
-       "    </tbody></table>"
-      ],
-      "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x1535e74d2610>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\n",
-      "Report :  report_058597\n",
-      "Desc.  :  train_size=1 test_size=1 batch_size=64 epochs=16 data_aug=False \n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<style  type=\"text/css\" >\n",
-       "    #T_ae790d06_f59c_11ea_bf69_80810002fe80row2_col2 {\n",
+       "        }    #T_e0e9316a_412f_11eb_9960_fdc85f498384row2_col4 {\n",
        "            background-color:  yellow;\n",
-       "        }    #T_ae790d06_f59c_11ea_bf69_80810002fe80row3_col4 {\n",
+       "        }    #T_e0e9316a_412f_11eb_9960_fdc85f498384row2_col6 {\n",
        "            background-color:  yellow;\n",
-       "        }    #T_ae790d06_f59c_11ea_bf69_80810002fe80row3_col6 {\n",
-       "            background-color:  yellow;\n",
-       "        }</style><table id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >Dataset</th>        <th class=\"col_heading level0 col1\" >Size</th>        <th class=\"col_heading level0 col2\" >v1_Accuracy</th>        <th class=\"col_heading level0 col3\" >v1_Duration</th>        <th class=\"col_heading level0 col4\" >v2_Accuracy</th>        <th class=\"col_heading level0 col5\" >v2_Duration</th>        <th class=\"col_heading level0 col6\" >v3_Accuracy</th>        <th class=\"col_heading level0 col7\" >v3_Duration</th>    </tr></thead><tbody>\n",
+       "        }</style><table id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >Dataset</th>        <th class=\"col_heading level0 col1\" >Size</th>        <th class=\"col_heading level0 col2\" >v1_Accuracy</th>        <th class=\"col_heading level0 col3\" >v1_Duration</th>        <th class=\"col_heading level0 col4\" >v2_Accuracy</th>        <th class=\"col_heading level0 col5\" >v2_Duration</th>        <th class=\"col_heading level0 col6\" >v3_Accuracy</th>        <th class=\"col_heading level0 col7\" >v3_Duration</th>    </tr></thead><tbody>\n",
        "                <tr>\n",
-       "                                <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row0_col0\" class=\"data row0 col0\" >set-24x24-L</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row0_col1\" class=\"data row0 col1\" >228.77 Mo</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row0_col2\" class=\"data row0 col2\" >95.69 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row0_col3\" class=\"data row0 col3\" >50.6 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row0_col4\" class=\"data row0 col4\" >96.80 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row0_col5\" class=\"data row0 col5\" >55.8 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row0_col6\" class=\"data row0 col6\" >95.61 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row0_col7\" class=\"data row0 col7\" >53.4 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row1_col0\" class=\"data row1 col0\" >set-24x24-RGB</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row1_col1\" class=\"data row1 col1\" >684.39 Mo</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row1_col2\" class=\"data row1 col2\" >96.10 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row1_col3\" class=\"data row1 col3\" >52.8 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row1_col4\" class=\"data row1 col4\" >97.57 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row1_col5\" class=\"data row1 col5\" >58.8 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row1_col6\" class=\"data row1 col6\" >95.78 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row1_col7\" class=\"data row1 col7\" >58.2 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row2_col0\" class=\"data row2 col0\" >set-48x48-L</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row2_col1\" class=\"data row2 col1\" >913.90 Mo</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row2_col2\" class=\"data row2 col2\" >97.02 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row2_col3\" class=\"data row2 col3\" >137.8 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row2_col4\" class=\"data row2 col4\" >97.68 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row2_col5\" class=\"data row2 col5\" >124.3 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row2_col6\" class=\"data row2 col6\" >97.45 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row2_col7\" class=\"data row2 col7\" >95.6 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row3_col0\" class=\"data row3 col0\" >set-48x48-RGB</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row3_col1\" class=\"data row3 col1\" >2736.36 Mo</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row3_col2\" class=\"data row3 col2\" >96.71 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row3_col3\" class=\"data row3 col3\" >149.6 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row3_col4\" class=\"data row3 col4\" >98.16 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row3_col5\" class=\"data row3 col5\" >133.3 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row3_col6\" class=\"data row3 col6\" >98.03 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row3_col7\" class=\"data row3 col7\" >106.3 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row4_col0\" class=\"data row4 col0\" >set-24x24-L-LHE</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row4_col1\" class=\"data row4 col1\" >228.77 Mo</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row4_col2\" class=\"data row4 col2\" >96.14 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row4_col3\" class=\"data row4 col3\" >46.8 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row4_col4\" class=\"data row4 col4\" >97.05 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row4_col5\" class=\"data row4 col5\" >55.4 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row4_col6\" class=\"data row4 col6\" >95.82 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row4_col7\" class=\"data row4 col7\" >57.5 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row5_col0\" class=\"data row5 col0\" >set-24x24-RGB-HE</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row5_col1\" class=\"data row5 col1\" >684.39 Mo</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row5_col2\" class=\"data row5 col2\" >95.66 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row5_col3\" class=\"data row5 col3\" >50.3 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row5_col4\" class=\"data row5 col4\" >96.57 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row5_col5\" class=\"data row5 col5\" >58.0 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row5_col6\" class=\"data row5 col6\" >93.97 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row5_col7\" class=\"data row5 col7\" >58.6 s</td>\n",
+       "                                <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row0_col0\" class=\"data row0 col0\" >set-24x24-L</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row0_col1\" class=\"data row0 col1\" >228.77 Mo</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row0_col2\" class=\"data row0 col2\" >88.99 %</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row0_col3\" class=\"data row0 col3\" >8.0 s</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row0_col4\" class=\"data row0 col4\" >87.77 %</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row0_col5\" class=\"data row0 col5\" >4.6 s</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row0_col6\" class=\"data row0 col6\" >88.80 %</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row0_col7\" class=\"data row0 col7\" >5.2 s</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row6_col0\" class=\"data row6 col0\" >set-48x48-L-LHE</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row6_col1\" class=\"data row6 col1\" >913.90 Mo</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row6_col2\" class=\"data row6 col2\" >96.90 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row6_col3\" class=\"data row6 col3\" >138.0 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row6_col4\" class=\"data row6 col4\" >97.85 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row6_col5\" class=\"data row6 col5\" >120.8 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row6_col6\" class=\"data row6 col6\" >97.55 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row6_col7\" class=\"data row6 col7\" >97.0 s</td>\n",
+       "                                <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row1_col0\" class=\"data row1 col0\" >set-24x24-RGB</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row1_col1\" class=\"data row1 col1\" >684.39 Mo</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row1_col2\" class=\"data row1 col2\" >89.98 %</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row1_col3\" class=\"data row1 col3\" >5.1 s</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row1_col4\" class=\"data row1 col4\" >89.35 %</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row1_col5\" class=\"data row1 col5\" >4.6 s</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row1_col6\" class=\"data row1 col6\" >86.70 %</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row1_col7\" class=\"data row1 col7\" >5.2 s</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row7_col0\" class=\"data row7 col0\" >set-48x48-RGB-HE</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row7_col1\" class=\"data row7 col1\" >2736.36 Mo</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row7_col2\" class=\"data row7 col2\" >95.75 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row7_col3\" class=\"data row7 col3\" >141.5 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row7_col4\" class=\"data row7 col4\" >98.08 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row7_col5\" class=\"data row7 col5\" >127.4 s</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row7_col6\" class=\"data row7 col6\" >96.36 %</td>\n",
-       "                        <td id=\"T_ae790d06_f59c_11ea_bf69_80810002fe80row7_col7\" class=\"data row7 col7\" >102.3 s</td>\n",
+       "                                <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row2_col0\" class=\"data row2 col0\" >set-48x48-RGB</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row2_col1\" class=\"data row2 col1\" >2736.36 Mo</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row2_col2\" class=\"data row2 col2\" >88.64 %</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row2_col3\" class=\"data row2 col3\" >18.3 s</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row2_col4\" class=\"data row2 col4\" >89.71 %</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row2_col5\" class=\"data row2 col5\" >10.2 s</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row2_col6\" class=\"data row2 col6\" >92.16 %</td>\n",
+       "                        <td id=\"T_e0e9316a_412f_11eb_9960_fdc85f498384row2_col7\" class=\"data row2 col7\" >11.1 s</td>\n",
        "            </tr>\n",
        "    </tbody></table>"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x1535e7535550>"
+       "<pandas.io.formats.style.Styler at 0x14851692da50>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
+    }
+   ],
+   "source": [
+    "for file in glob.glob(\"./run/*.json\"):\n",
+    "    show_report(file)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "\n",
-      "\n",
-      "Report :  report_017515\n",
-      "Desc.  :  train_size=1 test_size=1 batch_size=64 epochs=16 data_aug=False \n",
-      "\n"
+      "End time is : Friday 18 December 2020, 13:52:25\n",
+      "Duration is : 00:00:01 541ms\n",
+      "This notebook ends here\n"
      ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<style  type=\"text/css\" >\n",
-       "    #T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row2_col2 {\n",
-       "            background-color:  yellow;\n",
-       "        }    #T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row3_col4 {\n",
-       "            background-color:  yellow;\n",
-       "        }    #T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row3_col6 {\n",
-       "            background-color:  yellow;\n",
-       "        }</style><table id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >Dataset</th>        <th class=\"col_heading level0 col1\" >Size</th>        <th class=\"col_heading level0 col2\" >v1_Accuracy</th>        <th class=\"col_heading level0 col3\" >v1_Duration</th>        <th class=\"col_heading level0 col4\" >v2_Accuracy</th>        <th class=\"col_heading level0 col5\" >v2_Duration</th>        <th class=\"col_heading level0 col6\" >v3_Accuracy</th>        <th class=\"col_heading level0 col7\" >v3_Duration</th>    </tr></thead><tbody>\n",
-       "                <tr>\n",
-       "                                <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row0_col0\" class=\"data row0 col0\" >set-24x24-L</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row0_col1\" class=\"data row0 col1\" >228.77 Mo</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row0_col2\" class=\"data row0 col2\" >95.90 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row0_col3\" class=\"data row0 col3\" >47.7 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row0_col4\" class=\"data row0 col4\" >96.85 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row0_col5\" class=\"data row0 col5\" >52.7 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row0_col6\" class=\"data row0 col6\" >95.43 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row0_col7\" class=\"data row0 col7\" >51.9 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row1_col0\" class=\"data row1 col0\" >set-24x24-RGB</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row1_col1\" class=\"data row1 col1\" >684.39 Mo</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row1_col2\" class=\"data row1 col2\" >96.34 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row1_col3\" class=\"data row1 col3\" >47.7 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row1_col4\" class=\"data row1 col4\" >96.65 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row1_col5\" class=\"data row1 col5\" >54.5 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row1_col6\" class=\"data row1 col6\" >96.23 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row1_col7\" class=\"data row1 col7\" >53.9 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row2_col0\" class=\"data row2 col0\" >set-48x48-L</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row2_col1\" class=\"data row2 col1\" >913.90 Mo</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row2_col2\" class=\"data row2 col2\" >96.64 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row2_col3\" class=\"data row2 col3\" >132.0 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row2_col4\" class=\"data row2 col4\" >97.70 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row2_col5\" class=\"data row2 col5\" >117.3 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row2_col6\" class=\"data row2 col6\" >97.13 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row2_col7\" class=\"data row2 col7\" >92.2 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row3_col0\" class=\"data row3 col0\" >set-48x48-RGB</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row3_col1\" class=\"data row3 col1\" >2736.36 Mo</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row3_col2\" class=\"data row3 col2\" >95.87 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row3_col3\" class=\"data row3 col3\" >139.8 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row3_col4\" class=\"data row3 col4\" >98.30 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row3_col5\" class=\"data row3 col5\" >124.2 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row3_col6\" class=\"data row3 col6\" >98.06 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row3_col7\" class=\"data row3 col7\" >98.9 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row4_col0\" class=\"data row4 col0\" >set-24x24-L-LHE</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row4_col1\" class=\"data row4 col1\" >228.77 Mo</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row4_col2\" class=\"data row4 col2\" >95.49 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row4_col3\" class=\"data row4 col3\" >44.8 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row4_col4\" class=\"data row4 col4\" >96.97 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row4_col5\" class=\"data row4 col5\" >52.3 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row4_col6\" class=\"data row4 col6\" >95.35 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row4_col7\" class=\"data row4 col7\" >51.6 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row5_col0\" class=\"data row5 col0\" >set-24x24-RGB-HE</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row5_col1\" class=\"data row5 col1\" >684.39 Mo</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row5_col2\" class=\"data row5 col2\" >95.30 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row5_col3\" class=\"data row5 col3\" >48.2 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row5_col4\" class=\"data row5 col4\" >96.37 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row5_col5\" class=\"data row5 col5\" >55.0 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row5_col6\" class=\"data row5 col6\" >94.01 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row5_col7\" class=\"data row5 col7\" >54.0 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row6_col0\" class=\"data row6 col0\" >set-48x48-L-LHE</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row6_col1\" class=\"data row6 col1\" >913.90 Mo</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row6_col2\" class=\"data row6 col2\" >96.51 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row6_col3\" class=\"data row6 col3\" >132.3 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row6_col4\" class=\"data row6 col4\" >97.93 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row6_col5\" class=\"data row6 col5\" >117.3 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row6_col6\" class=\"data row6 col6\" >97.60 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row6_col7\" class=\"data row6 col7\" >92.6 s</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row7_col0\" class=\"data row7 col0\" >set-48x48-RGB-HE</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row7_col1\" class=\"data row7 col1\" >2736.36 Mo</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row7_col2\" class=\"data row7 col2\" >95.65 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row7_col3\" class=\"data row7 col3\" >137.6 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row7_col4\" class=\"data row7 col4\" >97.96 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row7_col5\" class=\"data row7 col5\" >123.3 s</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row7_col6\" class=\"data row7 col6\" >97.09 %</td>\n",
-       "                        <td id=\"T_ae7d4f9c_f59c_11ea_bf69_80810002fe80row7_col7\" class=\"data row7 col7\" >100.6 s</td>\n",
-       "            </tr>\n",
-       "    </tbody></table>"
-      ],
-      "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x1535e7c79c50>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "for file in glob.glob(\"./run/*.json\"):\n",
-    "    show_report(file)\n"
+    "pwk.end()"
    ]
   },
   {
@@ -490,7 +302,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/GTSRB/99-Scripts-Tensorboard.ipynb b/GTSRB/99-Scripts-Tensorboard.ipynb
index 2bcec6018804fbaea31fbf92cbb5ec09c649e212..a5dd05e3e78ad1b8a116fc8b78cc55b5750800c8 100644
--- a/GTSRB/99-Scripts-Tensorboard.ipynb
+++ b/GTSRB/99-Scripts-Tensorboard.ipynb
@@ -11,10 +11,7 @@
     "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
     "\n",
     "## Objectives :\n",
-    "  - Using Tensorboard\n",
-    "  - ...and if possible, simply and easily !\n",
-    "  \n",
-    "About [Tensorboard](https://www.tensorflow.org/tensorboard/get_started)\n",
+    "  - Using [**Tensorboard**](https://www.tensorflow.org/tensorboard/get_started)\n",
     "\n",
     "## What we're going to do :\n",
     " - Using Tensorboard"
@@ -24,154 +21,40 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Option 1  - From Jupyter\n",
-    "It's the easiest and most fun way: Launch Tensorboard directly from Jupiter.  \n",
-    "Unfortunately, this feature seems to be a bit capricious with the recent versions of Jupyter...  \n",
-    "It works on Jean-Zay (at **IDRIS**), but on Jupyter Notebook."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Option 2 - Shell command\n",
-    "That's what we're going to use in **GRICAD.**  \n",
-    "In fact, this is like starting tensorboard from the command line.  \n",
-    "More about it : `tensorboard --help`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%%bash\n",
-    "tensorboard_start --logdir ./run/logs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%%bash\n",
-    "tensorboard_status"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%%bash\n",
-    "tensorboard_stop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Option 3 - Magic command\n",
-    "**Start**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%load_ext tensorboard"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For example for use on a GRICAD cluster :"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%tensorboard --port 21277 --host 0.0.0.0 --logdir ./run/logs"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Stop**  \n",
-    "No way... use bash method\n",
+    "## Option 1  - From Jupyter (***)\n",
     "\n",
-    "## Option 4 - Tensorboard as a module\n",
-    "\n",
-    "**Start**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import tensorboard.notebook as tsb"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tsb.start('--port 21277 --host 0.0.0.0 --logdir ./run/logs')"
+    "It's the easiest and the best way \\!  \n",
+    "Launch Tensorboard directly from Jupiter.  \n",
+    "Works very fine on Jean-Zay (at IDRIS) :-)\n",
+    "\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Check**"
+    "## Option 2 - Tensorboard as a magic command (**)\n",
+    "Tensorboard can be run from Jupiter with a magic command.  \n",
+    "See [documentation](https://www.tensorflow.org/tensorboard/tensorboard_in_notebooks)  \n",
+    "Load the extention : ```%load_ext tensorboard```  \n",
+    "Start tensorboard : ```%tensorboard --logdir logs```  \n"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 2,
+   "cell_type": "raw",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "No known TensorBoard instances running.\n"
-     ]
-    }
-   ],
    "source": [
-    "a=tsb.list()"
+    "%load_ext tensorboard\n",
+    "%tensorboard --logdir logs"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Stop**  \n",
-    "No way... use bash method"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!kill 214798"
+    "## Option 2 - Shell command (*)\n",
+    "Basic way, from a shell  \n",
+    "More about it : `# tensorboard --help`"
    ]
   },
   {
@@ -199,7 +82,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/GTSRB/batch_oar.sh b/GTSRB/batch_oar.sh
index b780cd6a412b83501063aa8f67ec2892457b3ff4..6569e30eda9e609124a0ce830c9968eab725d90c 100755
--- a/GTSRB/batch_oar.sh
+++ b/GTSRB/batch_oar.sh
@@ -6,6 +6,10 @@
 #OAR --stderr full_convolutions_%jobid%.err
 #OAR --project fidle
 
+# <!-- TITLE --> [SH1] - OAR batch submission
+# <!-- DESC -->  Bash script example for OAR batch submission
+# <!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->
+
 #---- With cpu
 # use :
 # OAR -l /nodes=1/core=32,walltime=02:00:00
diff --git a/LinearReg/01-Linear-Regression.ipynb b/LinearReg/01-Linear-Regression.ipynb
index 19e8beed1e9285fa459f0a2bbbcb94f16ba73675..6ae865ddf7409679bc525de5f99547929e127ac5 100644
--- a/LinearReg/01-Linear-Regression.ipynb
+++ b/LinearReg/01-Linear-Regression.ipynb
@@ -109,13 +109,12 @@
      "text": [
       "Version              : 0.6.1 DEV\n",
       "Notebook id          : LINR1\n",
-      "Run time             : Wednesday 16 December 2020, 16:30:42\n",
-      "TensorFlow version   : 2.0.0\n",
+      "Run time             : Thursday 17 December 2020, 16:30:24\n",
+      "TensorFlow version   : 2.1.0\n",
       "Keras version        : 2.2.4-tf\n",
-      "Datasets dir         : ~/datasets/fidle\n",
-      "Update keras cache   : False\n",
-      "Save figs            : True\n",
-      "Path figs            : ./run/figs\n"
+      "Datasets dir         : /gpfswork/rech/mlh/uja62cb/datasets\n",
+      "Running mode         : full\n",
+      "Update keras cache   : False\n"
      ]
     }
    ],
@@ -186,19 +185,7 @@
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div class=\"comment\">Saved: ./run/figs/LINR1-01-set_of_points</div>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x432 with 1 Axes>"
       ]
@@ -254,8 +241,8 @@
       " [2]] \n",
       "\n",
       "theta hat :\n",
-      " [[3.94371605]\n",
-      " [1.85594304]]\n"
+      " [[6.57350113]\n",
+      " [1.53229674]]\n"
      ]
     }
    ],
@@ -279,19 +266,7 @@
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div class=\"comment\">Saved: ./run/figs/LINR1-02-regression-line</div>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
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vYrILxZoDppwBcBwlLQBQZnFBmhz1G9jKG9qCNrN1bl7WzDboh96uHY0ZdxPU8nyRhF0oqg7DxpgHrLVfrOL93mut/bX6hgUAAMrFZHYuPIW8dGlyZYnD5IiUz2/wwWXaslL/gWLYHSxrZtuTmOOI15OEXSiCzAz/lTHmA9ban13tjcaYnZI+Junb5Z9WBwAAQpCE2bk1eZ5fynC3mS3nB9/xi8Ga2dJpqWdg5Wzvnr1Nb2ZzSRJ2oQgShockfcAY86Ck77XWTpTeYIy5X9InJe2X9JlQRwgAQMIlYXZOkn8CW3ngLZU4BG1m29277GS2QalvX8Ob2eI4e5+EXSiChOGXSfpNSW+X9GVjzDustf/PGPOwpA9Iykt6t6UrDgAQE1EJN0Fn56Iy7jXN3pHGLvpht3zP3uvXgl2na+cqdb0H/HrfJovr7H0SdqGoOgxba29L+j5jzF9K+g1Jf2qMeVrS18nfh/jN1tqnGjNMAACaK0rhJsjsXJTGrYV5/0CKseHKGd/LExt9ZKVNWypDb/9B/+/botPMFtfZ+yRsjRl4Nwlr7ceNMdskfVjS10u6JOmV1tpLYQ8OABC+yM8aRkQjw03Qr0GQ2bmWhLJCXro0sbKud3LEP7WtWtn24slsg5Xhd+fuyDezNaq2Ngo/r3HftShQGDbGpCV9UNL7JN2U9JSk+yV9zhjzFmvtP4U/RABAWCI1axhxjQw3Qb8GQWbnGtrw5HnStcsrT2Ybv+jPAlcrnfZreJfX9e7pk9JuNrM1oraWn9fmCLK12n75TXL3S/qK/LKIc2U1w6eNMf+emmEAiK64LuU2QqMah2r9GlQ7OxfauG9cXzqCuDz83rkV7Dq7+1aWODShma3ZGlFby89rcwSZGX5S0k75TXQ/bq2dkyRr7YeMMZ+XH5Q/bIx5jbX2DeEP1W1RWOYAgCRskxSWRjUONfprEHjcs7fLTmUbXgq9MwGb2bZ3V5Y39A8Wm9k21fXvcUUjamv5eW2OIGE4LemN1tpPL3+DtfZxY8xLJP2upNeHNbi4YJkDQFQkYZuksDSqcajRX4M1x51fkEZHVm5ddnky2CfYvLV4BPFgWfA9KG3bHsr4XRZ2bS0/r80RJAzfZ63NrfVGa+20pO8yxry77lHFDMscAKKiFdskubwy1ojGoYZ/DfJ5ZS6N6dSNYZ26lpO+mpM+PixNjQZrZmvv8Gd2+wcrZ3x37Ip8M1tcJGFbsyhIeUHO6Q6JMcaTpKSUFz/6hWf1Pz5/TuX/0ylJ73jwmN72wD2tGhYc43KgQLSUvpeasU3SRitjSf2+DuVr4HnS1UvLDqjI+fv3Li5Uf51MRurdt7LEYU9vZJvZkvR908yf15hb8z8t8NZqCI5lDtSLUhuEqZnbJK23MnbiaE9iv68Dfw1mppfKG8rremdvB/vEe/au3Lasd0Bqywa7Tgsl7fdh3Lc1i4KgW6ulJL1R0rdIGpDUscq7edbabw5hbJFT650oyxyoF6U2CCJKs2brNQBJ4vt6uTu3imG3LPCO5qQb08Gus2NXWV3vYPH1g1JHZ/hjbjJ+HyJsQbZW65D0J5IelD/V7Klyytkrezx26rkTTcLpLWgsOoorRSnsRU3UZs3WWxlL9Pf1wrw0/rw0+lxl8L06Few6m7f6YXff4FLw7T8obd0W+pCjItHfNxEUh9/HQWaG3yfpVfIP3fgv8k+e+2lJH5EfkH9e0uOS3h7qCCOi3jtRljlQD0ptlkQt7EVN1GbNNloZi/P3db7g6cy5cV169rxeoOs6mr+m9Hgx+E6OSV7QZraDK0sctncnrpktCb8PXQmYcfl9HCQMv0nSP1prf0qSjDGSJGvthKTfN8b8vfy9iP+NpF8OeZwtx50oWolSmyVRC3tRE7XfVeutjMXq+9rz/Fnd0Zw0klNhNKfJrz6tl926rKzyG374XZmM1Le/GHgPLQXfXb3+qW2I1/fNKlwKmHH5fRwkDB+R9Ntlf/ck3a24t9ZeMMb8saTvVwzDcBLuRBFdlNosiVrYi5oo/q5aa2XMye9rz/Ob2cZyZeUNOX8Hh7JmtrSk/vWuk0pVNrOV9ux1rJmtFZz8vgnApYAZl9/HQcLwgqTZsr/fkLRn2fsMS3pdvYOKorjfiSL6KLXxRTHsRYlrv6si/X19+9ayo4hzfgC+eT3QZS5ltmg4u0u59l0aeNHX6eWvOint3R+LZrZWifT3TZ1cCphx+X0cJAyPyN9BouScpJcve5/7JF2td1BRFPc7UcAVroW9ZuN3VQ3m56Txi5WNbGM5fw/fILZsu1vLe6GtWx95+raeTe3QzYwfejuzGT38jfdJg9EKNIgWlwJmXH4fBwnDfyvpNWV/f0zSzxpjfkfSp+U30b1G0u+FNrqIifOdKOAKwt7G+F21hsVFaWpsqcRh5Dl/5ndqPFgzW0dnsZmtWN6wb9APwV077zazHSx48h49rcXRaaUcDgloPpcCZlx+HwcJw78nab8xZrB4LPOvSnq9pB+QXyeckjQk6SdCHiMAVCDsYV2FgnSl2MxWXts7MRLwZLY2v5yhoq53UNrVs2EzWyNDgis7DaA2rgXMOPw+rus4ZmNMm/xAfFRSTtJnrbUbHoeTtOOYAQAN4HnSzLXKwylKJ7TNzW7wwWVSKamnv2zrsuKfnn6pLVoHtbq00wAQMY05jtlauyjpD+u5BgDUihmyBLl1Y9nJbDn/7zdngl2ne8/Szg2lGd8+d5rZXNppAHBFtG55AaBKzJDF1Nxs8WS2nF/iMJLzQ++1y8Gus7WrbJa3bOuyzVvDHnFTubTTgKu4yU4ewjAAJzFD5rjFRWlyZGnnhtKM76Vxv/yhWh2bKk9kKwXfrh2xPJnNpZ0GXMRNdjIRhgE4qdkzZMwW1ahQkK5MrqzrnRiR8ovVX6ct6zez9S8Lvt0bN7PFiUs7DbiIm+xkIgwDcFIzZ8iYLaqC50nXr1YeTlGq652fq/46qbTU2++H3fLg29PvH1WccK7tNOCauJShcPMeDGEYgJOaOUPGbNEyt26Uhd3c0uu3bgS7TndPZSPbwKDfzNbeEfqQ4yQOW1lFVRzKULh5D44wDMBJzZwhi8tsUWBzs5U7OJSC7/SVYNfZtl0aOFQZfPcelDZvacCggdrFoQyFm/fgqg7Dxpgea+1UIwcDAEE0a4YsDrNF61pckCZHV5Y4XJ4I1szWuXkp8JaXOHTtaMSogdDFoQwlsTfvdQgyM/y8MeYxSb9lrf2rRg0IAKImDrNFkvxmtssTxbD73FLonRyR8vkNP/yutqy090Ax+JbN+HbvqXsHB2od0Wqul6HE/ua9AYKE4XOS3iTpjcaY85J+S9LHrLUB18sAYH1RC0TOzRZ5nl/KUNHIlpPGLtbQzDawcuuyPY1pZqPWEahfbG7emyjQcczGmPslvVN+KN4kaU7Sp+XPFn8hwHU4jhnAqghEAd2cKdb15ooHVOT8AHz7ZrDr7OqpPIp4YFDq2ydl20Me8NqeODepD336yxUzWp3ZjB5+w33OztIBrVCaUHDi5r15wjmO2Vr7uKTHjTHvlfQO+cH4rZLeYow5J+m/Svq4tfZaHYMFkGA0f6xh9o4/szuWq5zxvX412HW6dq6s6+0/IG1qfTMbtY5AOFwv9Wi2mnaTsNZel/RhSR8uzhb/sKTvkfQrkj5kjPmfkn7dWvul0EaKhgp7WTpqy9xwR9IDUX5+Xl8985RuDD2rQwtX1H/7klJjw36tbxCbNi8dQVxe4rAtus1s1DoCaIUwtla7IumapFn5pRPt8meN326M+aykH7TWBpy6QDOFvSzNMjfqkZhAVMhLlyYqdnDwiiezvcQrVH+dbHuxmW2wMvju3O3cccS11jpy8w2gHjWFYWNMVtJ3S3qXpFfKr8M4J+mDkj4m6V9I+g+SXifpN+SXUiCiwl6WZpkb9Yhd84fnSdcuL9X1lmp7xy9KC/MV75qStGZbWjot9e6rLHHYd0ja0yel43EyWy2Nitx8A6hXoDBsjDkqv074+yXtkpSX9Jgka639y7J3/Zykzxlj/kDSa0MZKRom7GXppC9zoz7O7dxQ7sb1pSOIy/fsvXMr0GXG27qUy+7ScLZbufZdevHLX6pv/db7m9rM1ipBax25+QZQryCHbvyFpFfJn7wYkz8L/BFr7dg6H/YPkr6rrhGi4cJelk7MMjcaJvLNH7O3/Wa28ka20Zw0E7B3ePvOYl3voDRwUF/Nd+mDj1/WdH5pprczm9GD996biCBcC26+AdQryMzwqyX9tSQr6TFrbTU7tH9WfnBGhIW9LB27ZW4k18K8NDFSOcs7lpMuTwa7zqYt0r7Byoa2/oP+McVl7i14Gnx+5ZI/Pztr4+YbQL2q3mfYGPMCa+0/h/FJ2Wc4esLek5A9DuGUQl6aGq8scRjJSVOj/qlt1WrvKDuZbXDpz45dVTez8bMTDDXDAKq05i+EQIduhIUwjPXQGY6G8Tzp6qXKWd7RnDT+/IpmtnVlMsVmtsGymd5BaU9vbJrZXMINBIAqhHPoBtBozPIgNDemK+t5S+H3zu1g19mz1w+85SUOvQPU8EZI5GvMAUQaYRiRQmc4Artzq1jaMFzZ0HZjOtBlvO3dSt2t6x30g+/eA1LnpvDHDACIDMIwIoXOcKxpYd4vZ1he4nBlKth1Nm+VNzCoJ2516isL2zSU3qmJzXs0cGAvKxAAkECEYUQKneFQPi9dGvMb2Mob2ibHpCAns7V3SP0HpIFDlQ1t27t1+tkp/fynv7z0fVaQbrACAQCJRBhGpLAtW4J4nnR1atlevcP+yWyLC9VfJ5OR+vaX1fUO+q/v7vNPbVsFKxAAgBLCMCLF6dPHitgNYxUz02WNbMU/Yxf9wyuqlUr5AffuDg7FGd/eAaktG2g4rEAAAEoIw4gclzvDE78bxu1blUcRl16/cT3YdXbu9g+lKN+6bO8BqaMzlGGyAgEAKCEMAyFKzG4Y83PSxPNLh1OUGtquXgp2nc1bpX2HKmd6+w9KW7Y1YNBL4rAC4SpWTgBEDWEYKArjSTp2taj5vDQ5Wty5oWzGd2o8WDNbR2dxpndZXe/27qpPZgubyysQrkr8ygmASCIMAwrvSTrsWtSmzaIVCsVmtuHKut6JkYDNbG1S377Ko4gHBqVdPWs2syE5ErNyAsAphGFA4T1Jh1mL2pBZNM+TZq5V7uBQOrBi7k7110mlpJ7+srreQX+mt2dAamvtrxWW4aMrdisnAGKBMAwovCfpMGtR6w7ot28u1fKW79l7cybYQHbuXgq7/YPSvkF/K7OQmtnCxDJ8tLGLByRuWBE9hGFA4T5Jh1WLWnVAn5tdOpmtvLb32uVgn3BrV+Usb3/x5eatdf07moll+GhjFw9ww4ooIgwjdmqZdWjGk3TQcS0P6Bkvr8O6oW+49oz02N8tzfROjfnlD9Xq6PQDb8XWZYekrh0ta2YLC8vw0cYuHuCGFVFEGEas1Drr0Ogn6UDjKhSkK5M6cTOnH118SpuujOrA3GXtW7imrArSxSo/aVtW2rt/ZV1vd3yb2ViGjz528Ug2blgRRYRhVM2FOq96Zh0a+SS96rhGrunJJ8/pZR23KkscxoaluVllJL22moun0lLP3pUlDr0D/lHFCcIyPBBt3LAiigjDqIordV5RnXV4fnhCR29c1ODCVR2cv6LBhSsaXLiqLjsb7ELdPUsnspVe9u2X2jsaMWznsAxfyYUbWCQLN6yIIsIwquJKnVfLZx3mZqXxiyu2LnvTtct6U5DrbN3u79pQXuLQf1DavKUBg44XluF9rtzAIlm4YUUUEYZRlajOuC7XtFmHxUVpcqTsgIpi8L08EaiZzevYpNTAQf9I4vLg27Uj3PEicVy5gUXycMOKqCEMoyotn3GtUuizDoWCH3DvzvLm/NcnRqT8YvXXacvK27tfl7f1aaRztzYdOqJ7vuElyuzudX4HB0STKzewANBqhGFUxaU6r5pmHTxPun7VD7x3D6jISWMXpfm56q+TSku9/cuOIz4o7elXKpPRHkl7qr8aUDNXbmABoNUIw6iK63Ve5Y1Ex7an9dKOW8qMDy/N+I7m/BPbgtjVU6zlHVxqZtu7X8q2hz5+ICiXbmABoJUIw6iac3VecyTSjoQAAA9nSURBVLPS2LAKzz+nx//yCW29OqbXzl/RrvytYNfZtsMPuuUNbf0HpE00syG6mrF3NjtVAIgDwjDct7jg1/CWGtlKdb2XxiVJaUkPVHOdTZsrZ3lLOzjQzAZHNeoGlp0qgHBwUxkNhGG4o5CXLk0Ww27Or+0dy0mTo1I+v/7HlplXRhfbu5XZN6hD973Yn/EdGJR27qaZDagCO1UA9eOmMjoIw4gez5OuXfZPYivfumw8WDObl0prpqtH17b36fGbnRrK7FQuu0vjbdvV3p7Vw2+4T4cce+JmFgFRwE4VQP24qYwOwjBa6+bMsr16n/Nf3glY17u7926JQ6H/oH7tyRv6m+k23VpMqb0treyetBbzntONRMwiICrYqQKoHzeV0UEYRnPM3va3Kas4mS0nXb8W7DrbdxZD7+BSbW//Aalz8913+ftzk/rc9S9rdtH/JTO3WJAkfffLDyubSTu3E0YJswiICnaqAOrHTWV0EIYRroV55cdHdOEfn9Jc7rwG7lzSjulxpa5MBrvOpi2VjWylZrZt2zf80NXutucXC8pm0nrbA/cEG0eEMIuAqHB9q0UgCoLcVFIi11iEYdSmkJemxoszvMN3Z3y9yRFlCgVVHTmz7cXtypbt4FBHM1tc77bj+u+Cm5zbahGImGpvKimRazzCMNZXamZbXtc7/ry0ML/i3df6sfRSaaX27lu5ddmePimdCXXIcV3Cjeu/CwCSqpqbSkrkGo8wjCU3pitPZCvt2XvndqDLjLV1aTi7S7nsLuXad2k4260Hv/mE3vLgCxsx6hXiuoQb138XAGBtlMg1HmE4iWZvlzWxLZU4aCZoM1v3ska2Qf397U793P95pmIpvzOb0WD/rhD/ARuL6xJuXP9dAIDVUSLXeIThOFuY98sZKk5my0lXpoJdZ/PWska2g0t1vVtX/iC+rODp+JfHWcoHACAElMg1HmE4DvJ56dLYyhKHqVGpUKj+Ou0d/jZly7cu27Gr6mY2lvIBAAgPz6uNRxh2iedJVy8tHUxRfjLb4kL118lkpN59lduWDRz0D64IoZmNpXwAAMLD82pjEYajamZ6aZa3vK53NkAzWyol7e6rnOUdGJR6B6S2bCNGDQAA4BTCcKvdueWH3ZFcZfC9cT3YdXbsKgbeQ0vBd+8BqaMz/DEDAADEBGG4WebnpImyZrbSy6s1NLPtKwbeUm1v/0Fp67bwxwwAABBzhOGw5fPS1FhZI1vxz9S45AVtZju4sq53e3fNJ7MBQK04DhZAXBGGa1Uo+LO65Ts4jA37W5kFamZrk/r2rdy6bFevlE43ZOgAEATHwQKIM8LwRjzPb2Yby/nBd+S5Yl3vsDR3p/rrpFLSnr1lgbdY6tAzILXxZQDiIK6zpxwHCyDOSGHlbt8sO5yirK73ZsBmtp27l0Jvqa53736a2YAYWCvwxnn2lONgAcRZMsPw/Jy/N2/FIRU56drlYNfZsm1lTe/AoN/kBiB21gu8cZ495ThYAHGWnDC8MC995Of9EoepMb/8oVodnUu7NpSH3q6dNLMBCbJe4I3z7CnHwQKIs+SE4Wy7NPS19ffvzbT55QzlJQ77BqXuHprZIiiu9ZmIrvUCb5xnTzkOFkCcJScMS37IPfsVKZWWevZWljf0D0o9/TSzOWL5cnV7W1r93Vv0jcf7dM/e7VU/UROoEcR6gTfus6ccBwsgrpKV/N7wg1Im7Z/M1t7R6tGgDsuXq+cWC3pu6oaem7qhziobl+Lc8ITGWC/wMnsKAG5KVhg+/IJWjwAhWW25uqTaxqU4NzyhMTYKvMyeAoB7KISFk0rL1Wsp1XGuZ736T2AtpcD7tgfu0aljvcz8AoDjCMNwUmm5unONQFxN49JqgTouDU8AAKA6ySqTQGyUL1cPTVzX3zwzofFrtwM1LsW94QkAAGws5QXZbzckxhhPkqy1Tf/ciKfSrhBBG5dq/TgAAOCUNZ/cmRlGLNTauBSnhie2iQMAIDjCMBADbBMHAEBtaKADYqB8mzhPldvEAQCAtRGGgRhgmzgAAGpDGAZigG3iAACoDWEYiIHyfZdT0t0jqdkmDvBr6p84N6lHv/Csnjg3qXyh+bsoAYguGuiAGNjomGAgqWguBbARwjCcwdZh64viNnF8zdBq5c2lUmVzaZR+VgC0DmEYTmB2xz18zRAF6zWXEoYBSNQMwxFsHeYevmaIAppLAWyEMAwnsHWYe/iaIQpoLgWwEcok4ITS7M5sWbhidifa+JohCmguRTXob0g2wjCcUJrdWV5/yuxOdPE1Q1REsbkU0UF/AwjDcAKzO+7hawbABew4AsIwnMHsjnv4mgGIOnYcAWEYAFA1aisRN/Q3gDAMAKgKtZWII/obQBgGAFSF2krEEf0NIAwDAKpCbSXiiv6GZOPQDQBAVTjNDUAcEYYRWfmCpyfOTerRLzyrJ85NKl/wWj0kINE4zQ1AHFEmgUiiUQeIHtdrK9kJA8BqCMOIJBp1gGhaq7Yy6kGTG2wAayEMI5Jo1AHc4ULQ5AYbwFqoGUYkxaVRh7pnJEF50PRUGTSjYr0bbADJxswwIikOm6C7MFsGhMGFlRxOGQOwFsIwIsn1Rh2JZVkkhwtBMw432AAagzCMyHJ9E3QXZsuAMLgQNONwgw2gMQjDQIO4MFsGhMGVoOn6DTaAxiAMAw3iwmwZEBaCJgBXEYaBBnFltgwAgCQjDAMNxGwZAADRxj7DAAAASCzCMAAAABKLMAwAAIDEomYYQGD5gqczQ1M6PzGjI300BgIA3EUYBhAIx0wDAOKEMgkAgZQfM+2p8phpAABcQxgGEMh6x0wDAOAawjCAQErHTJfjmGkAgKsIwwACKR0z3ZnNKCWpk2OmAQAOo4EOscauB+HjmGkAQJwQhhMiiaGQXQ8ah2OmAQBxQRhOgKSGwvJdD6TKXQ8IcYiTJN7sAkBYCMMJ0OxQGJUn5vV2PSAMIy6SerMLAGEhDCdAM0NhlJ6YS7sezJb9213b9SAqNxaILlZAAKA+hOEEaGYojNITc2nXg+XB3JVdD6J0Y4HoYgUEAOpDGE6AZobCKD0xu77rQZRuLBBdcVgBAYBWIgwnQDNDYdSemF3e9SBKNxaILtdXQACg1QjDCdGsUMgTc3iidmOBaHJ9BQQAWo0wjFDxxBwebixQLZdXQACg1QjDCB1PzOHgxgIAgMYjDAMRxo0FAACNlW71AAAAAIBWIQwDAAAgsQjDAAAASCzCMAAAABKLMAwAAIDEIgwDAAAgsQjDAAAASCzCMAAAABKLQzdCli94OjM0pfMTMzrSx4lhAAAAUUYYDlG+4On9j57W2dFpzS3k1ZHN6PjADj3y0EkCMQAAQARRJhGiM0NTOjs6rdmFvDxJswt5nR2d1pmhqVYPDQAAAKsgDIfo/MSM5hbyFY/NLeR1YXKmRSMCAADAegjDITrS16WObKbisY5sRod7u1o0IgAAAKyHMByiE0d7dHxghzqzGaUkdRZrhk8c7Wn10AAAALAKGuhClEmn9MhDJ3VmaEoXJmd0uJfdJAAAAKKMMByyTDqlU8d6depYb6uHAgAAgA1QJgEAAIDEIgwDAAAgsQjDAAAASCzCMAAAABKLMAwAAIDEIgwDAAAgsQjDAAAASCzCMAAAABKLMAwAAIDEaukJdMaYVn56AAAAJINnrU2t9gZmhgEAAJBYKc/zWj0GAAAAoCWYGQYAAEBiEYYBAACQWC1toAMANI8x5mOSvk/SIWttrrWjAYBoYGYYAAAAiUUYBoDkeFjSvZJGWz0QAIgKdpMAAABAYlEzDAB1MMY8Jun1kt5jrf3wsrd9UNJ/lPQ71tofquJar5L0VkmvkLRPUlbSeUn/S9IvWGtny973kKQvSypIus9aO1z2ti2SviTpmKRXW2s/X3z8Y1qlZtgY8zpJ75X0Qkndkq5IelbSp6y1NsB/BwA4hzIJAKjPD0q6KOkXjTH3lR40xnyzpPdLelrSe6q81vsk/StJT0r6LUkflTQv6acl/akxJlN6R2vtc5J+SNJOSZ80xpRPblhJxyX9TCkIr8UY805J/1t+EP6spF+W9CeSNkn6gSrHDQDOYmYYAOpgrb1qjHmrpM9L+pQx5qWSNkv6hKQ5Sd9jrb1d5eWMpOestRX1a2UzzG+U9Kmyz/0HxpjflPSjkj4o6WFjzDskvUPS54qPbeRd8gP3S6y1U8s+7+4qxw0AzmJmGADqZK19XNJ/knSP/BndT0jqk1868bUA17mwPAgX/Wrx5bes8rYfl/QVSe8zxrxb/qzwJUkPWWsLVX7qRUkLq4zncpUfDwDOYmYYAMLxC5IelPS24t8/aa39aJALFGt93yvpu+TX+26TlCp7l4HlH2OtnTXGvFl+jfCHJXmS3mitHavy0z4qvzTia8aYT8mf4f5ba+2lIGMHAFcxMwwAISjO6H6m7KFfXet9V2OMyUr6K0k/J6lTfjnEhyR9oPhHkjrW+PBzkp4qvv60pD+v9vNaa39FflPdRfm1zZ+RNGmM+WtjzDcE+TcAgIsIwwAQAmPMPZJ+SdI1+Ts8fNQY0xngEq+X9C8l/Xdr7Yuste+01v6ktfan5ZderOcnJN0v6bKkr5O/n3DVrLUft9aekrRL0rdJ+h1Jr5T0Z8aYniDXAgDXEIYBoE7GmA75M7lbJL1F/ozuixRsdvho8eUfrvK2b1rnc98v6Wck/bOkry++/IAx5hUBPrckyVo7ba39E2vtD0v6mPxt1h4Ieh0AcAlhGADq90uS7pP0n621fy7ppyT9raR3GWO+p8pr5IovHyx/0BhzWH498grGmJ2SPikpL+kt1tpJSW+W3xD3SWPMro0+qTHmtcu2ZSspzQhXuxMGADiJBjoAqIMx5jslvVvSafnbn8lamy9ut/akpN82xnzJWnthg0t9VtKQpB83xrxI/oEaByR9u6Q/Lr6+3H8rPv4ea+2Txc/9FWPMv5P065J+V9LrNvi8vy9p1hjzN/IDeUr+bPAJSf8g6S82+HgAcBozwwBQI2PMAfmB9Lqkt1prF0tvs9Y+L/9Aji5Jv2+MaV/vWtbaW5JeLen35Nf9vkfSi+XvFfy9q3zuH5P0nZL+aPnJd9ba35DfCPcdxph/u8E/4yck/Z2kl8rf5/gH5J989z5Jr7LWrthyDQDiJOV5q21pCQAAAMQfM8MAAABILMIwAAAAEoswDAAAgMQiDAMAACCxCMMAAABILMIwAAAAEoswDAAAgMQiDAMAACCxCMMAAABILMIwAAAAEuv/A+mf2ndG7C4SAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 864x432 with 1 Axes>"
       ]
@@ -324,8 +299,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "End time is : Wednesday 16 December 2020, 16:30:42\n",
-      "Duration is : 00:00:01 716ms\n",
+      "End time is : Thursday 17 December 2020, 16:30:38\n",
+      "Duration is : 00:00:13 289ms\n",
       "This notebook ends here\n"
      ]
     }
@@ -359,7 +334,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/README.ipynb b/README.ipynb
index 6aa10a13df910bc57f772fd32583ef62359c301c..f934d5f717d0b228929768992eae48b094361f26 100644
--- a/README.ipynb
+++ b/README.ipynb
@@ -68,8 +68,8 @@
        "|GTS3| [CNN with GTSRB dataset - Monitoring ](GTSRB/03-Tracking-and-visualizing.ipynb)<br>Episode 3 : Monitoring and analysing training, managing checkpoints|\n",
        "|GTS4| [CNN with GTSRB dataset - Data augmentation ](GTSRB/04-Data-augmentation.ipynb)<br>Episode 4 : Improving the results with data augmentation|\n",
        "|GTS5| [CNN with GTSRB dataset - Full convolutions ](GTSRB/05-Full-convolutions.ipynb)<br>Episode 5 : A lot of models, a lot of datasets and a lot of results.|\n",
-       "|GTS6| [CNN with GTSRB dataset - Full convolutions as a batch](GTSRB/06-Notebook-as-a-batch.ipynb)<br>Episode 6 : Run Full convolution notebook as a batch|\n",
-       "|GTS7| [CNN with GTSRB dataset - Show reports](GTSRB/07-Show-report.ipynb)<br>Episode 7 : Displaying the reports of the different jobs|\n",
+       "|GTS6| [Full convolutions as a batch](GTSRB/06-Notebook-as-a-batch.ipynb)<br>Episode 6 : Run Full convolution notebook as a batch|\n",
+       "|GTS7| [CNN with GTSRB dataset - Show reports](GTSRB/07-Show-report.ipynb)<br>Episode 7 : Displaying a jobs report|\n",
        "|TSB1| [Tensorboard with/from Jupyter ](GTSRB/99-Scripts-Tensorboard.ipynb)<br>4 ways to use Tensorboard from the Jupyter environment|\n",
        "|IMDB1| [Text embedding with IMDB](IMDB/01-Embedding-Keras.ipynb)<br>A very classical example of word embedding for text classification (sentiment analysis)|\n",
        "|IMDB2| [Text embedding with IMDB - Reloaded](IMDB/02-Prediction.ipynb)<br>Example of reusing a previously saved model|\n",
@@ -123,11 +123,6 @@
   }
  ],
  "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -138,7 +133,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/README.md b/README.md
index 2a6f525fbc0089e789e769f7b67fe1fc1e2193b8..c93a2d22202c4ae6425928186aaf3273b9555e54 100644
--- a/README.md
+++ b/README.md
@@ -54,8 +54,8 @@ Have a look about **[How to get and install](https://gricad-gitlab.univ-grenoble
 |GTS3| [CNN with GTSRB dataset - Monitoring ](GTSRB/03-Tracking-and-visualizing.ipynb)<br>Episode 3 : Monitoring and analysing training, managing checkpoints|
 |GTS4| [CNN with GTSRB dataset - Data augmentation ](GTSRB/04-Data-augmentation.ipynb)<br>Episode 4 : Improving the results with data augmentation|
 |GTS5| [CNN with GTSRB dataset - Full convolutions ](GTSRB/05-Full-convolutions.ipynb)<br>Episode 5 : A lot of models, a lot of datasets and a lot of results.|
-|GTS6| [CNN with GTSRB dataset - Full convolutions as a batch](GTSRB/06-Notebook-as-a-batch.ipynb)<br>Episode 6 : Run Full convolution notebook as a batch|
-|GTS7| [CNN with GTSRB dataset - Show reports](GTSRB/07-Show-report.ipynb)<br>Episode 7 : Displaying the reports of the different jobs|
+|GTS6| [Full convolutions as a batch](GTSRB/06-Notebook-as-a-batch.ipynb)<br>Episode 6 : Run Full convolution notebook as a batch|
+|GTS7| [CNN with GTSRB dataset - Show reports](GTSRB/07-Show-report.ipynb)<br>Episode 7 : Displaying a jobs report|
 |TSB1| [Tensorboard with/from Jupyter ](GTSRB/99-Scripts-Tensorboard.ipynb)<br>4 ways to use Tensorboard from the Jupyter environment|
 |IMDB1| [Text embedding with IMDB](IMDB/01-Embedding-Keras.ipynb)<br>A very classical example of word embedding for text classification (sentiment analysis)|
 |IMDB2| [Text embedding with IMDB - Reloaded](IMDB/02-Prediction.ipynb)<br>Example of reusing a previously saved model|
diff --git a/fidle/01 - Set and reset.ipynb b/fidle/01 - Set and reset.ipynb
index 1bccce2d8708a82120765d236c4254d5bcb43a1f..a9bc048d5556b96d75dd72f29b00db7338170a85 100644
--- a/fidle/01 - Set and reset.ipynb	
+++ b/fidle/01 - Set and reset.ipynb	
@@ -24,13 +24,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
     "import nbformat\n",
     "from nbconvert.preprocessors import ExecutePreprocessor\n",
-    "\n",
+    "from IPython.display import display,Image,Markdown,HTML\n",
     "import re\n",
     "import sys, os, glob\n",
     "import json\n",
@@ -62,19 +62,21 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Step 3 - Catalog of notebooks"
+    "## Step 3 - Catalog of notebooks\n",
+    "### 3.1 - Build catalog"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Catalog saved as ../fidle/log/catalog.json\n"
+      "Catalog saved as ../fidle/log/catalog.json\n",
+      "Entries :  32\n"
      ]
     }
    ],
@@ -90,19 +92,111 @@
     "\n",
     "with open(config.CATALOG_FILE,'wt') as fp:\n",
     "    json.dump(catalog,fp,indent=4)\n",
-    "    print(f'Catalog saved as {config.CATALOG_FILE}')    "
+    "    print(f'Catalog saved as {config.CATALOG_FILE}')\n",
+    "    print('Entries : ',len(catalog))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.2 build index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "**Index is :**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "| | |\n",
+       "|--|--|\n",
+       "|LINR1| [Linear regression with direct resolution](LinearReg/01-Linear-Regression.ipynb)<br>Direct determination of linear regression |\n",
+       "|GRAD1| [Linear regression with gradient descent](LinearReg/02-Gradient-descent.ipynb)<br>An example of gradient descent in the simple case of a linear regression.|\n",
+       "|POLR1| [Complexity Syndrome](LinearReg/03-Polynomial-Regression.ipynb)<br>Illustration of the problem of complexity with the polynomial regression|\n",
+       "|LOGR1| [Logistic regression, with sklearn](LinearReg/04-Logistic-Regression.ipynb)<br>Logistic Regression using Sklearn|\n",
+       "|PER57| [Perceptron Model 1957](IRIS/01-Simple-Perceptron.ipynb)<br>A simple perceptron, with the IRIS dataset.|\n",
+       "|BHP1| [Regression with a Dense Network (DNN)](BHPD/01-DNN-Regression.ipynb)<br>A Simple regression with a Dense Neural Network (DNN) - BHPD dataset|\n",
+       "|BHP2| [Regression with a Dense Network (DNN) - Advanced code](BHPD/02-DNN-Regression-Premium.ipynb)<br>More advanced example of DNN network code - BHPD dataset|\n",
+       "|MNIST1| [Simple classification with DNN](MNIST/01-DNN-MNIST.ipynb)<br>Example of classification with a fully connected neural network|\n",
+       "|GTS1| [CNN with GTSRB dataset - Data analysis and preparation](GTSRB/01-Preparation-of-data.ipynb)<br>Episode 1 : Data analysis and creation of a usable dataset|\n",
+       "|GTS2| [CNN with GTSRB dataset - First convolutions](GTSRB/02-First-convolutions.ipynb)<br>Episode 2 : First convolutions and first results|\n",
+       "|GTS3| [CNN with GTSRB dataset - Monitoring ](GTSRB/03-Tracking-and-visualizing.ipynb)<br>Episode 3 : Monitoring and analysing training, managing checkpoints|\n",
+       "|GTS4| [CNN with GTSRB dataset - Data augmentation ](GTSRB/04-Data-augmentation.ipynb)<br>Episode 4 : Improving the results with data augmentation|\n",
+       "|GTS5| [CNN with GTSRB dataset - Full convolutions ](GTSRB/05-Full-convolutions.ipynb)<br>Episode 5 : A lot of models, a lot of datasets and a lot of results.|\n",
+       "|GTS6| [Full convolutions as a batch](GTSRB/06-Notebook-as-a-batch.ipynb)<br>Episode 6 : Run Full convolution notebook as a batch|\n",
+       "|GTS7| [CNN with GTSRB dataset - Show reports](GTSRB/07-Show-report.ipynb)<br>Episode 7 : Displaying a jobs report|\n",
+       "|TSB1| [Tensorboard with/from Jupyter ](GTSRB/99-Scripts-Tensorboard.ipynb)<br>4 ways to use Tensorboard from the Jupyter environment|\n",
+       "|IMDB1| [Text embedding with IMDB](IMDB/01-Embedding-Keras.ipynb)<br>A very classical example of word embedding for text classification (sentiment analysis)|\n",
+       "|IMDB2| [Text embedding with IMDB - Reloaded](IMDB/02-Prediction.ipynb)<br>Example of reusing a previously saved model|\n",
+       "|IMDB3| [Text embedding/LSTM model with IMDB](IMDB/03-LSTM-Keras.ipynb)<br>Still the same problem, but with a network combining embedding and LSTM|\n",
+       "|SYNOP1| [Time series with RNN - Preparation of data](SYNOP/01-Preparation-of-data.ipynb)<br>Episode 1 : Data analysis and creation of a usable dataset|\n",
+       "|SYNOP2| [Time series with RNN - Try a prediction](SYNOP/02-First-predictions.ipynb)<br>Episode 2 : Training session and first predictions|\n",
+       "|SYNOP3| [Time series with RNN - 12h predictions](SYNOP/03-12h-predictions.ipynb)<br>Episode 3: Attempt to predict in the longer term |\n",
+       "|VAE1| [Variational AutoEncoder (VAE) with MNIST](VAE/01-VAE-with-MNIST.nbconvert.ipynb)<br>Episode 1 : Model construction and Training|\n",
+       "|VAE2| [Variational AutoEncoder (VAE) with MNIST - Analysis](VAE/02-VAE-with-MNIST-post.ipynb)<br>Episode 2 : Exploring our latent space|\n",
+       "|VAE3| [About the CelebA dataset](VAE/03-About-CelebA.ipynb)<br>Episode 3 : About the CelebA dataset, a more fun dataset ;-)|\n",
+       "|VAE4| [Preparation of the CelebA dataset](VAE/04-Prepare-CelebA-datasets.ipynb)<br>Episode 4 : Preparation of a clustered dataset, batchable|\n",
+       "|VAE5| [Checking the clustered CelebA dataset](VAE/05-Check-CelebA.ipynb)<br>Episode 5 :\tChecking the clustered dataset|\n",
+       "|VAE6| [Variational AutoEncoder (VAE) with CelebA (small)](VAE/06-VAE-with-CelebA-s.nbconvert.ipynb)<br>Episode 6 : Variational AutoEncoder (VAE) with CelebA (small res.)|\n",
+       "|VAE7| [Variational AutoEncoder (VAE) with CelebA (medium)](VAE/07-VAE-with-CelebA-m.nbconvert.ipynb)<br>Episode 7 : Variational AutoEncoder (VAE) with CelebA (medium res.)|\n",
+       "|VAE8| [Variational AutoEncoder (VAE) with CelebA - Analysis](VAE/08-VAE-withCelebA-post.ipynb)<br>Episode 8 : Exploring latent space of our trained models|\n",
+       "|ACTF1| [Activation functions](Misc/Activation-Functions.ipynb)<br>Some activation functions, with their derivatives.|\n",
+       "|NP1| [A short introduction to Numpy](Misc/Numpy.ipynb)<br>Numpy is an essential tool for the Scientific Python.|"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# ---- Create a markdown index\n",
+    "#\n",
+    "lines=['| | |','|--|--|']\n",
+    "tab='&nbsp;'*5\n",
+    "for id, about in catalog.items():\n",
+    "    id          = about['id']\n",
+    "    dirname     = about['dirname']\n",
+    "    basename    = about['basename']\n",
+    "    title       = about['title']\n",
+    "    description = about['description']\n",
+    "      \n",
+    "#     lines.append( f'[[{id}] - {title}]({dirname}/{basename})  ' )\n",
+    "#     lines.append( f'{tab}{description}  ')\n",
+    "    lines.append( f'|{id}| [{title}]({dirname}/{basename})<br>{description}|')\n",
+    "\n",
+    "index = '\\n'.join(lines)\n",
+    "display(Markdown('**Index is :**'))\n",
+    "display(Markdown(index))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Step 4 - README.md"
+    "## Step 4 - Update README.md"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -182,7 +276,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Step 6 - More fun : Create and execute it !"
+    "## Step 6 - More fun : Create and execute it :-)"
    ]
   },
   {
@@ -194,7 +288,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -244,9 +338,18 @@
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Finished file has been reset.\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
-    "# pwk.reset_finished_file()"
+    "#pwk.reset_finished_file()"
    ]
   },
   {
@@ -274,7 +377,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/fidle/02 - Finished report.ipynb b/fidle/02 - Finished report.ipynb
index f16428fb50bca1cabc50fcdf9063b5ca28783cd1..5a52189d17d0f94285f0f281b466e48bc096211c 100644
--- a/fidle/02 - Finished report.ipynb	
+++ b/fidle/02 - Finished report.ipynb	
@@ -36,96 +36,79 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "**Warning : id [GTS12] not found in catalog...\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
        "<style  type=\"text/css\" >\n",
-       "    #T_be717d3e_4073_11eb_8978_eb773ee7bde1 td {\n",
+       "    #T_b0a2806a_412f_11eb_9eb7_c1096f49db4a td {\n",
        "          font-size: 110%;\n",
        "          text-align: left;\n",
-       "    }    #T_be717d3e_4073_11eb_8978_eb773ee7bde1 th {\n",
+       "    }    #T_b0a2806a_412f_11eb_9eb7_c1096f49db4a th {\n",
        "          font-size: 110%;\n",
        "          text-align: left;\n",
-       "    }</style><table id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >id</th>        <th class=\"col_heading level0 col1\" >repo</th>        <th class=\"col_heading level0 col2\" >name</th>        <th class=\"col_heading level0 col3\" >start</th>        <th class=\"col_heading level0 col4\" >end</th>        <th class=\"col_heading level0 col5\" >duration</th>    </tr></thead><tbody>\n",
+       "    }</style><table id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4a\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >id</th>        <th class=\"col_heading level0 col1\" >repo</th>        <th class=\"col_heading level0 col2\" >name</th>        <th class=\"col_heading level0 col3\" >start</th>        <th class=\"col_heading level0 col4\" >end</th>        <th class=\"col_heading level0 col5\" >duration</th>    </tr></thead><tbody>\n",
        "                <tr>\n",
-       "                                <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row0_col0\" class=\"data row0 col0\" ><a href=\"../LinearReg/01-Linear-Regression.ipynb\">LINR1</a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row0_col1\" class=\"data row0 col1\" >LinearReg</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row0_col2\" class=\"data row0 col2\" ><a href=\"../LinearReg/01-Linear-Regression.ipynb\"><b>01-Linear-Regression.ipynb</b></a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row0_col3\" class=\"data row0 col3\" >Wednesday 16 December 2020, 16:30:42</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row0_col4\" class=\"data row0 col4\" >Wednesday 16 December 2020, 16:30:42</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row0_col5\" class=\"data row0 col5\" >00:00:01 716ms</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row1_col0\" class=\"data row1 col0\" ><a href=\"../LinearReg/02-Gradient-descent.ipynb\">GRAD1</a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row1_col1\" class=\"data row1 col1\" >LinearReg</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row1_col2\" class=\"data row1 col2\" ><a href=\"../LinearReg/02-Gradient-descent.ipynb\"><b>02-Gradient-descent.ipynb</b></a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row1_col3\" class=\"data row1 col3\" >Wednesday 16 December 2020, 17:11:22</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row1_col4\" class=\"data row1 col4\" >Wednesday 16 December 2020, 17:11:26</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row1_col5\" class=\"data row1 col5\" >00:00:04 240ms</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row2_col0\" class=\"data row2 col0\" ><a href=\"../LinearReg/03-Polynomial-Regression.ipynb\">POLR1</a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row2_col1\" class=\"data row2 col1\" >LinearReg</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row2_col2\" class=\"data row2 col2\" ><a href=\"../LinearReg/03-Polynomial-Regression.ipynb\"><b>03-Polynomial-Regression.ipynb</b></a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row2_col3\" class=\"data row2 col3\" >Wednesday 16 December 2020, 17:48:01</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row2_col4\" class=\"data row2 col4\" >Wednesday 16 December 2020, 17:48:03</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row2_col5\" class=\"data row2 col5\" >00:00:01 491ms</td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                                <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row3_col0\" class=\"data row3 col0\" ><a href=\"../LinearReg/04-Logistic-Regression.ipynb\">LOGR1</a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row3_col1\" class=\"data row3 col1\" >LinearReg</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row3_col2\" class=\"data row3 col2\" ><a href=\"../LinearReg/04-Logistic-Regression.ipynb\"><b>04-Logistic-Regression.ipynb</b></a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row3_col3\" class=\"data row3 col3\" >Wednesday 16 December 2020, 12:52:18</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row3_col4\" class=\"data row3 col4\" >Wednesday 16 December 2020, 12:52:20</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row3_col5\" class=\"data row3 col5\" >00:00:02 592ms</td>\n",
+       "                                <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow0_col0\" class=\"data row0 col0\" ><a href=\"../GTSRB/02-First-convolutions.ipynb\">GTS2</a></td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow0_col1\" class=\"data row0 col1\" >GTSRB</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow0_col2\" class=\"data row0 col2\" ><a href=\"../GTSRB/02-First-convolutions.ipynb\"><b>02-First-convolutions.ipynb</b></a></td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow0_col3\" class=\"data row0 col3\" >Thursday 17 December 2020, 17:05:29</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow0_col4\" class=\"data row0 col4\" >Thursday 17 December 2020, 17:05:50</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow0_col5\" class=\"data row0 col5\" >00:00:20 263ms</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row4_col0\" class=\"data row4 col0\" ><a href=\"../IRIS/01-Simple-Perceptron.ipynb\">PER57</a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row4_col1\" class=\"data row4 col1\" >IRIS</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row4_col2\" class=\"data row4 col2\" ><a href=\"../IRIS/01-Simple-Perceptron.ipynb\"><b>01-Simple-Perceptron.ipynb</b></a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row4_col3\" class=\"data row4 col3\" >Wednesday 16 December 2020, 21:01:59</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row4_col4\" class=\"data row4 col4\" >Wednesday 16 December 2020, 21:02:00</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row4_col5\" class=\"data row4 col5\" >00:00:01 537ms</td>\n",
+       "                                <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow1_col0\" class=\"data row1 col0\" ><a href=\"../GTSRB/03-Tracking-and-visualizing.ipynb\">GTS3</a></td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow1_col1\" class=\"data row1 col1\" >GTSRB</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow1_col2\" class=\"data row1 col2\" ><a href=\"../GTSRB/03-Tracking-and-visualizing.ipynb\"><b>03-Tracking-and-visualizing.ipynb</b></a></td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow1_col3\" class=\"data row1 col3\" >Thursday 17 December 2020, 17:48:33</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow1_col4\" class=\"data row1 col4\" >Thursday 17 December 2020, 17:50:22</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow1_col5\" class=\"data row1 col5\" >00:01:49 407ms</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row5_col0\" class=\"data row5 col0\" ><a href=\"../BHPD/01-DNN-Regression.ipynb\">BHP1</a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row5_col1\" class=\"data row5 col1\" >BHPD</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row5_col2\" class=\"data row5 col2\" ><a href=\"../BHPD/01-DNN-Regression.ipynb\"><b>01-DNN-Regression.ipynb</b></a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row5_col3\" class=\"data row5 col3\" >Wednesday 16 December 2020, 21:07:33</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row5_col4\" class=\"data row5 col4\" >Wednesday 16 December 2020, 21:12:10</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row5_col5\" class=\"data row5 col5\" >00:04:37 856ms</td>\n",
+       "                                <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow2_col0\" class=\"data row2 col0\" ><a href=\"../GTSRB/04-Data-augmentation.ipynb\">GTS4</a></td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow2_col1\" class=\"data row2 col1\" >GTSRB</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow2_col2\" class=\"data row2 col2\" ><a href=\"../GTSRB/04-Data-augmentation.ipynb\"><b>04-Data-augmentation.ipynb</b></a></td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow2_col3\" class=\"data row2 col3\" >Thursday 17 December 2020, 18:21:16</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow2_col4\" class=\"data row2 col4\" >Thursday 17 December 2020, 18:23:00</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow2_col5\" class=\"data row2 col5\" >00:01:44 577ms</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row6_col0\" class=\"data row6 col0\" ><a href=\"../BHPD/02-DNN-Regression-Premium.ipynb\">BHP2</a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row6_col1\" class=\"data row6 col1\" >BHPD</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row6_col2\" class=\"data row6 col2\" ><a href=\"../BHPD/02-DNN-Regression-Premium.ipynb\"><b>02-DNN-Regression-Premium.ipynb</b></a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row6_col3\" class=\"data row6 col3\" >Wednesday 16 December 2020, 21:13:48</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row6_col4\" class=\"data row6 col4\" >Wednesday 16 December 2020, 21:13:59</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row6_col5\" class=\"data row6 col5\" >00:00:11 697ms</td>\n",
+       "                                <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow3_col0\" class=\"data row3 col0\" ><a href=\"../GTSRB/05-Full-convolutions.ipynb\">GTS5</a></td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow3_col1\" class=\"data row3 col1\" >GTSRB</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow3_col2\" class=\"data row3 col2\" ><a href=\"../GTSRB/05-Full-convolutions.ipynb\"><b>05-Full-convolutions.ipynb</b></a></td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow3_col3\" class=\"data row3 col3\" >Thursday 17 December 2020, 22:07:09</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow3_col4\" class=\"data row3 col4\" >Thursday 17 December 2020, 22:08:26</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow3_col5\" class=\"data row3 col5\" >00:01:17 312ms</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row7_col0\" class=\"data row7 col0\" ><a href=\"../MNIST/01-DNN-MNIST.ipynb\">MNIST1</a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row7_col1\" class=\"data row7 col1\" >MNIST</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row7_col2\" class=\"data row7 col2\" ><a href=\"../MNIST/01-DNN-MNIST.ipynb\"><b>01-DNN-MNIST.ipynb</b></a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row7_col3\" class=\"data row7 col3\" >Thursday 17 December 2020, 11:07:02</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row7_col4\" class=\"data row7 col4\" >Thursday 17 December 2020, 11:07:36</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row7_col5\" class=\"data row7 col5\" >00:00:34 554ms</td>\n",
+       "                                <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow4_col0\" class=\"data row4 col0\" ><a href=\"../GTSRB/06-Notebook-as-a-batch.ipynb\">GTS6</a></td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow4_col1\" class=\"data row4 col1\" >GTSRB</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow4_col2\" class=\"data row4 col2\" ><a href=\"../GTSRB/06-Notebook-as-a-batch.ipynb\"><b>06-Notebook-as-a-batch.ipynb</b></a></td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow4_col3\" class=\"data row4 col3\" >Friday 18 December 2020, 13:33:50</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow4_col4\" class=\"data row4 col4\" >Friday 18 December 2020, 13:34:12</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow4_col5\" class=\"data row4 col5\" >00:00:22 377ms</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row8_col0\" class=\"data row8 col0\" ><a href=\"../GTSRB/01-Preparation-of-data.ipynb\">GTS1</a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row8_col1\" class=\"data row8 col1\" >GTSRB</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row8_col2\" class=\"data row8 col2\" ><a href=\"../GTSRB/01-Preparation-of-data.ipynb\"><b>01-Preparation-of-data.ipynb</b></a></td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row8_col3\" class=\"data row8 col3\" >Thursday 17 December 2020, 14:58:51</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row8_col4\" class=\"data row8 col4\" >Thursday 17 December 2020, 15:07:28</td>\n",
-       "                        <td id=\"T_be717d3e_4073_11eb_8978_eb773ee7bde1row8_col5\" class=\"data row8 col5\" >00:08:37 855ms</td>\n",
+       "                                <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow5_col0\" class=\"data row5 col0\" >GTS12</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow5_col1\" class=\"data row5 col1\" >-</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow5_col2\" class=\"data row5 col2\" >-</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow5_col3\" class=\"data row5 col3\" >Friday 18 December 2020, 13:48:06</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow5_col4\" class=\"data row5 col4\" >Friday 18 December 2020, 13:48:07</td>\n",
+       "                        <td id=\"T_b0a2806a_412f_11eb_9eb7_c1096f49db4arow5_col5\" class=\"data row5 col5\" >00:00:01 938ms</td>\n",
        "            </tr>\n",
        "    </tbody></table>"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7f57d4dc0f50>"
+       "<pandas.io.formats.style.Styler at 0x15118d1ea450>"
       ]
      },
      "metadata": {},
@@ -166,7 +149,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/fidle/config.py b/fidle/config.py
index 819f0ff0a320b1250d37558dcaf5001f851d1bed..7d0f0d99f2b51ca4adb97ffa85b5918827d312c9 100644
--- a/fidle/config.py
+++ b/fidle/config.py
@@ -38,7 +38,12 @@ FINISHED_FILE  = '../fidle/log/finished.json'
 #
 CI_REPORT      = '../fidle/log/ci_report.html'
 
-# ---- Defaul mode
+# ---- Defaul mode (full|smart)
+#      Overided by env : FIDLE_RUNNING_MODE
 #
 DEFAULT_RUNNING_MODE = 'full'
-# DEFAULT_RUNNING_MODE = 'smart'
\ No newline at end of file
+
+# ---- Save figs or not (yes|no)
+#      Overided by env : FIDLE_SAVE_FIGS
+#      
+DEFAULT_SAVE_FIGS    = 'yes'
\ No newline at end of file
diff --git a/fidle/cooker.py b/fidle/cooker.py
index 9aba6a8dc949ed3c0454dc7967ac88ca204b6cfb..87ab2c40f4881c19fba8a8f867886f653048973e 100644
--- a/fidle/cooker.py
+++ b/fidle/cooker.py
@@ -27,37 +27,40 @@ import fidle.config as config
 # -----------------------------------------------------------------------------
 # To built README.md / README.ipynb
 # -----------------------------------------------------------------------------
-#    get_notebooks  :  Get le notebooks lists
-#    get_infos      :  Get infos about a notebooks
-#    get_catalog    :  Get a catalog of all notebooks
+#    get_files      :  Get files lists
+#    get_infos      :  Get infos about a entry
+#    get_catalog    :  Get a catalog of all entries
 # -----------------------------------------------------------------------------
 
-def get_notebooks(directories, top_dir='..'):
+def get_files(directories, top_dir='..'):
     '''
-    Return a list of notebooks from a given list of directories
+    Return a list of files from a given list of directories
     args:
         directories : list of directories
         top_dir : location of theses directories
     return:
-        notebooks : notebooks filename list (without top_dir prefix)
+        files : filenames list (without top_dir prefix)
     '''
-    notebooks = []
+    files = []
     
     for d in directories:
-        filenames = glob.glob( f'{top_dir}/{d}/*.ipynb')
-        filenames.sort()
-        notebooks.extend(filenames)
+        notebooks = glob.glob( f'{top_dir}/{d}/*.ipynb')
+        scripts   = glob.glob( f'{top_dir}/{d}/*.sh')
+        notebooks.sort()
+        scripts.sort()
+        files.extend(notebooks)
+        files.extend(scripts)
 
-    notebooks = [ x.replace(f'{top_dir}/','') for x in notebooks]
-    return notebooks
+    files = [ x.replace(f'{top_dir}/','') for x in entries]
+    return files
 
 
-def get_infos(filename, top_dir='..'):
+def get_notebook_infos(filename, top_dir='..'):
     '''
     Extract informations from a fidle notebook.
     Informations are dirname, basename, id, title, description and are extracted from comments tags in markdown.
     args:
-        filename : Notebook filename
+        filename : notebook filename
     return:
         dict : with infos.
     '''
@@ -89,23 +92,64 @@ def get_infos(filename, top_dir='..'):
                 about['description']  = find[0]
 
     return about
-                
+    
+    
+def get_txt_file_infos(filename, top_dir='..'):
+    '''
+    Extract fidle  informations from a text file (script...).
+    Informations are dirname, basename, id, title, description and are extracted from comments tags in document
+    args:
+        filename : file to analyze
+    return:
+        dict : with infos.
+    '''
 
-def get_catalog(notebooks_list, top_dir='..'):
+    about={}
+    about['id']          = '??'
+    about['dirname']     = os.path.dirname(filename)
+    about['basename']    = os.path.basename(filename)
+    about['title']       = '??'
+    about['description'] = '??'
+    
+    # ---- Read file
+    #
+    with open((f'{top_dir}/{filename}') af fp:
+        texte = fp.read()
+
+    find = re.findall(r'<\!-- TITLE -->\s*\[(.*)\]\s*-\s*(.*)\n',cell.source)
+    if find:
+        about['id']    = find[0][0]
+        about['title'] = find[0][1]
+
+    find = re.findall(r'<\!-- DESC -->\s*(.*)\n',cell.source)
+    if find:
+        about['description']  = find[0]
+
+    return about
+
+              
+def get_catalog(files_list, top_dir='..'):
     '''
-    Return an OrderedDict of notebooks attributes.
-    Keys are notebooks id.
+    Return an OrderedDict of files attributes.
+    Keys are file id.
     args:
-        notebooks_list : list of notebooks filenames
-        top_dir : Location of theses notebooks
+        files_list : list of files filenames
+        top_dir : Location of theses files
     return:
-        OrderedDict : {<notebook id> : { description} }
+        OrderedDict : {<file id> : { description} }
     '''
     
     catalog = OrderedDict()
 
-    for nb in notebooks_list:
-        about = get_infos(nb, top_dir='..')
+    for file in files_list:
+        about=None
+        if file.endswith('.ipynb'):
+            about = get_notebook_infos(file, top_dir='..')
+        if file.endswith('.sh'):
+            about = get_txtfiles_infos(file, top_dir='..')
+        if about is None:
+              print(f'** Warning : File [{file}] have no tags infomations...')
+              
         id=about['id']
         catalog[id] = about
 
@@ -150,18 +194,21 @@ def get_ci_report():
 
     # ---- Add usefull html columns 
     #
-    df[ ['name','repo'] ]=''
+    for c in ['name','repo']: df[c]='-'
 
     for index, row in df.iterrows():
         id = row['id']
-        basename    = catalog[id]['basename']
-        dirname     = catalog[id]['dirname']
-        title       = catalog[id]['title']
-        description = catalog[id]['description']
-        row['id']   = f'<a href="../{dirname}/{basename}">{id}</a>'
-        row['name'] = f'<a href="../{dirname}/{basename}"><b>{basename}</b></a>'
-        row['repo'] = dirname
-    
+        if id in catalog:
+            basename    = catalog[id]['basename']
+            dirname     = catalog[id]['dirname']
+            title       = catalog[id]['title']
+            description = catalog[id]['description']
+            row['id']   = f'<a href="../{dirname}/{basename}">{id}</a>'
+            row['name'] = f'<a href="../{dirname}/{basename}"><b>{basename}</b></a>'
+            row['repo'] = dirname
+        else:
+            print(f'**Warning : id [{id}] not found in catalog...')
+            
     df=df[columns]
 
     # ---- Add styles to be nice
diff --git a/fidle/log/catalog.json b/fidle/log/catalog.json
index b1375df4780b209a8cf572f9b857c91d3bd78fe7..c8eeb170f559eba03b4bdae554ff2c9878e283a8 100644
--- a/fidle/log/catalog.json
+++ b/fidle/log/catalog.json
@@ -94,7 +94,7 @@
         "id": "GTS6",
         "dirname": "GTSRB",
         "basename": "06-Notebook-as-a-batch.ipynb",
-        "title": "CNN with GTSRB dataset - Full convolutions as a batch",
+        "title": "Full convolutions as a batch",
         "description": "Episode 6 : Run Full convolution notebook as a batch"
     },
     "GTS7": {
@@ -102,7 +102,7 @@
         "dirname": "GTSRB",
         "basename": "07-Show-report.ipynb",
         "title": "CNN with GTSRB dataset - Show reports",
-        "description": "Episode 7 : Displaying the reports of the different jobs"
+        "description": "Episode 7 : Displaying a jobs report"
     },
     "TSB1": {
         "id": "TSB1",
diff --git a/fidle/log/ci_report.html b/fidle/log/ci_report.html
index bb35f4db6b80b421c7c119663f9ffdd1e05b66bb..0436c36f394a94d64787ad529653b3e6adc92943 100644
--- a/fidle/log/ci_report.html
+++ b/fidle/log/ci_report.html
@@ -24,87 +24,63 @@
         <body>
             <br>Hi,
             <p>Below is the result of the continuous integration tests of the Fidle project:</p>
-            <div class="header"><b>Report date :</b> Thursday 17 December 2020, 15:25:42</div>
+            <div class="header"><b>Report date :</b> Friday 18 December 2020, 13:51:04</div>
             <div class="result">   
                 <style  type="text/css" >
-    #T_be6f11fc_4073_11eb_8978_eb773ee7bde1 td {
+    #T_b0a07e82_412f_11eb_9eb7_c1096f49db4a td {
           font-size: 110%;
           text-align: left;
-    }    #T_be6f11fc_4073_11eb_8978_eb773ee7bde1 th {
+    }    #T_b0a07e82_412f_11eb_9eb7_c1096f49db4a th {
           font-size: 110%;
           text-align: left;
-    }</style><table id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1" ><thead>    <tr>        <th class="col_heading level0 col0" >id</th>        <th class="col_heading level0 col1" >repo</th>        <th class="col_heading level0 col2" >name</th>        <th class="col_heading level0 col3" >start</th>        <th class="col_heading level0 col4" >end</th>        <th class="col_heading level0 col5" >duration</th>    </tr></thead><tbody>
+    }</style><table id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4a" ><thead>    <tr>        <th class="col_heading level0 col0" >id</th>        <th class="col_heading level0 col1" >repo</th>        <th class="col_heading level0 col2" >name</th>        <th class="col_heading level0 col3" >start</th>        <th class="col_heading level0 col4" >end</th>        <th class="col_heading level0 col5" >duration</th>    </tr></thead><tbody>
                 <tr>
-                                <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row0_col0" class="data row0 col0" ><a href="../LinearReg/01-Linear-Regression.ipynb">LINR1</a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row0_col1" class="data row0 col1" >LinearReg</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row0_col2" class="data row0 col2" ><a href="../LinearReg/01-Linear-Regression.ipynb"><b>01-Linear-Regression.ipynb</b></a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row0_col3" class="data row0 col3" >Wednesday 16 December 2020, 16:30:42</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row0_col4" class="data row0 col4" >Wednesday 16 December 2020, 16:30:42</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row0_col5" class="data row0 col5" >00:00:01 716ms</td>
+                                <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow0_col0" class="data row0 col0" ><a href="../GTSRB/02-First-convolutions.ipynb">GTS2</a></td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow0_col1" class="data row0 col1" >GTSRB</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow0_col2" class="data row0 col2" ><a href="../GTSRB/02-First-convolutions.ipynb"><b>02-First-convolutions.ipynb</b></a></td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow0_col3" class="data row0 col3" >Thursday 17 December 2020, 17:05:29</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow0_col4" class="data row0 col4" >Thursday 17 December 2020, 17:05:50</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow0_col5" class="data row0 col5" >00:00:20 263ms</td>
             </tr>
             <tr>
-                                <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row1_col0" class="data row1 col0" ><a href="../LinearReg/02-Gradient-descent.ipynb">GRAD1</a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row1_col1" class="data row1 col1" >LinearReg</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row1_col2" class="data row1 col2" ><a href="../LinearReg/02-Gradient-descent.ipynb"><b>02-Gradient-descent.ipynb</b></a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row1_col3" class="data row1 col3" >Wednesday 16 December 2020, 17:11:22</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row1_col4" class="data row1 col4" >Wednesday 16 December 2020, 17:11:26</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row1_col5" class="data row1 col5" >00:00:04 240ms</td>
+                                <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow1_col0" class="data row1 col0" ><a href="../GTSRB/03-Tracking-and-visualizing.ipynb">GTS3</a></td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow1_col1" class="data row1 col1" >GTSRB</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow1_col2" class="data row1 col2" ><a href="../GTSRB/03-Tracking-and-visualizing.ipynb"><b>03-Tracking-and-visualizing.ipynb</b></a></td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow1_col3" class="data row1 col3" >Thursday 17 December 2020, 17:48:33</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow1_col4" class="data row1 col4" >Thursday 17 December 2020, 17:50:22</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow1_col5" class="data row1 col5" >00:01:49 407ms</td>
             </tr>
             <tr>
-                                <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row2_col0" class="data row2 col0" ><a href="../LinearReg/03-Polynomial-Regression.ipynb">POLR1</a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row2_col1" class="data row2 col1" >LinearReg</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row2_col2" class="data row2 col2" ><a href="../LinearReg/03-Polynomial-Regression.ipynb"><b>03-Polynomial-Regression.ipynb</b></a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row2_col3" class="data row2 col3" >Wednesday 16 December 2020, 17:48:01</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row2_col4" class="data row2 col4" >Wednesday 16 December 2020, 17:48:03</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row2_col5" class="data row2 col5" >00:00:01 491ms</td>
+                                <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow2_col0" class="data row2 col0" ><a href="../GTSRB/04-Data-augmentation.ipynb">GTS4</a></td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow2_col1" class="data row2 col1" >GTSRB</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow2_col2" class="data row2 col2" ><a href="../GTSRB/04-Data-augmentation.ipynb"><b>04-Data-augmentation.ipynb</b></a></td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow2_col3" class="data row2 col3" >Thursday 17 December 2020, 18:21:16</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow2_col4" class="data row2 col4" >Thursday 17 December 2020, 18:23:00</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow2_col5" class="data row2 col5" >00:01:44 577ms</td>
             </tr>
             <tr>
-                                <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row3_col0" class="data row3 col0" ><a href="../LinearReg/04-Logistic-Regression.ipynb">LOGR1</a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row3_col1" class="data row3 col1" >LinearReg</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row3_col2" class="data row3 col2" ><a href="../LinearReg/04-Logistic-Regression.ipynb"><b>04-Logistic-Regression.ipynb</b></a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row3_col3" class="data row3 col3" >Wednesday 16 December 2020, 12:52:18</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row3_col4" class="data row3 col4" >Wednesday 16 December 2020, 12:52:20</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row3_col5" class="data row3 col5" >00:00:02 592ms</td>
+                                <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow3_col0" class="data row3 col0" ><a href="../GTSRB/05-Full-convolutions.ipynb">GTS5</a></td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow3_col1" class="data row3 col1" >GTSRB</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow3_col2" class="data row3 col2" ><a href="../GTSRB/05-Full-convolutions.ipynb"><b>05-Full-convolutions.ipynb</b></a></td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow3_col3" class="data row3 col3" >Thursday 17 December 2020, 22:07:09</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow3_col4" class="data row3 col4" >Thursday 17 December 2020, 22:08:26</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow3_col5" class="data row3 col5" >00:01:17 312ms</td>
             </tr>
             <tr>
-                                <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row4_col0" class="data row4 col0" ><a href="../IRIS/01-Simple-Perceptron.ipynb">PER57</a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row4_col1" class="data row4 col1" >IRIS</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row4_col2" class="data row4 col2" ><a href="../IRIS/01-Simple-Perceptron.ipynb"><b>01-Simple-Perceptron.ipynb</b></a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row4_col3" class="data row4 col3" >Wednesday 16 December 2020, 21:01:59</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row4_col4" class="data row4 col4" >Wednesday 16 December 2020, 21:02:00</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row4_col5" class="data row4 col5" >00:00:01 537ms</td>
+                                <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow4_col0" class="data row4 col0" ><a href="../GTSRB/06-Notebook-as-a-batch.ipynb">GTS6</a></td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow4_col1" class="data row4 col1" >GTSRB</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow4_col2" class="data row4 col2" ><a href="../GTSRB/06-Notebook-as-a-batch.ipynb"><b>06-Notebook-as-a-batch.ipynb</b></a></td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow4_col3" class="data row4 col3" >Friday 18 December 2020, 13:33:50</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow4_col4" class="data row4 col4" >Friday 18 December 2020, 13:34:12</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow4_col5" class="data row4 col5" >00:00:22 377ms</td>
             </tr>
             <tr>
-                                <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row5_col0" class="data row5 col0" ><a href="../BHPD/01-DNN-Regression.ipynb">BHP1</a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row5_col1" class="data row5 col1" >BHPD</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row5_col2" class="data row5 col2" ><a href="../BHPD/01-DNN-Regression.ipynb"><b>01-DNN-Regression.ipynb</b></a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row5_col3" class="data row5 col3" >Wednesday 16 December 2020, 21:07:33</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row5_col4" class="data row5 col4" >Wednesday 16 December 2020, 21:12:10</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row5_col5" class="data row5 col5" >00:04:37 856ms</td>
-            </tr>
-            <tr>
-                                <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row6_col0" class="data row6 col0" ><a href="../BHPD/02-DNN-Regression-Premium.ipynb">BHP2</a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row6_col1" class="data row6 col1" >BHPD</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row6_col2" class="data row6 col2" ><a href="../BHPD/02-DNN-Regression-Premium.ipynb"><b>02-DNN-Regression-Premium.ipynb</b></a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row6_col3" class="data row6 col3" >Wednesday 16 December 2020, 21:13:48</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row6_col4" class="data row6 col4" >Wednesday 16 December 2020, 21:13:59</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row6_col5" class="data row6 col5" >00:00:11 697ms</td>
-            </tr>
-            <tr>
-                                <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row7_col0" class="data row7 col0" ><a href="../MNIST/01-DNN-MNIST.ipynb">MNIST1</a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row7_col1" class="data row7 col1" >MNIST</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row7_col2" class="data row7 col2" ><a href="../MNIST/01-DNN-MNIST.ipynb"><b>01-DNN-MNIST.ipynb</b></a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row7_col3" class="data row7 col3" >Thursday 17 December 2020, 11:07:02</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row7_col4" class="data row7 col4" >Thursday 17 December 2020, 11:07:36</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row7_col5" class="data row7 col5" >00:00:34 554ms</td>
-            </tr>
-            <tr>
-                                <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row8_col0" class="data row8 col0" ><a href="../GTSRB/01-Preparation-of-data.ipynb">GTS1</a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row8_col1" class="data row8 col1" >GTSRB</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row8_col2" class="data row8 col2" ><a href="../GTSRB/01-Preparation-of-data.ipynb"><b>01-Preparation-of-data.ipynb</b></a></td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row8_col3" class="data row8 col3" >Thursday 17 December 2020, 14:58:51</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row8_col4" class="data row8 col4" >Thursday 17 December 2020, 15:07:28</td>
-                        <td id="T_be6f11fc_4073_11eb_8978_eb773ee7bde1row8_col5" class="data row8 col5" >00:08:37 855ms</td>
+                                <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow5_col0" class="data row5 col0" >GTS12</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow5_col1" class="data row5 col1" >-</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow5_col2" class="data row5 col2" >-</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow5_col3" class="data row5 col3" >Friday 18 December 2020, 13:48:06</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow5_col4" class="data row5 col4" >Friday 18 December 2020, 13:48:07</td>
+                        <td id="T_b0a07e82_412f_11eb_9eb7_c1096f49db4arow5_col5" class="data row5 col5" >00:00:01 938ms</td>
             </tr>
     </tbody></table>
             </div>
diff --git a/fidle/log/finished.json b/fidle/log/finished.json
index 2847cb8d809d6e198b3fdc3f7636b1ce2594c5cf..cc3e6e5475b6783420d2492ec1b35c4d3f5e0355 100644
--- a/fidle/log/finished.json
+++ b/fidle/log/finished.json
@@ -1,62 +1,44 @@
 {
-    "LINR1": {
-        "path": "/home/pjluc/dev/fidle/LinearReg",
-        "start": "Wednesday 16 December 2020, 16:30:42",
-        "end": "Wednesday 16 December 2020, 16:30:42",
-        "duration": "00:00:01 716ms"
-    },
-    "GRAD1": {
-        "path": "/home/pjluc/dev/fidle/LinearReg",
-        "start": "Wednesday 16 December 2020, 17:11:22",
-        "end": "Wednesday 16 December 2020, 17:11:26",
-        "duration": "00:00:04 240ms"
-    },
-    "POLR1": {
-        "path": "/home/pjluc/dev/fidle/LinearReg",
-        "start": "Wednesday 16 December 2020, 17:48:01",
-        "end": "Wednesday 16 December 2020, 17:48:03",
-        "duration": "00:00:01 491ms"
-    },
-    "LOGR1": {
-        "path": "/home/pjluc/dev/fidle/LinearReg",
-        "start": "Wednesday 16 December 2020, 12:52:18",
-        "end": "Wednesday 16 December 2020, 12:52:20",
-        "duration": "00:00:02 592ms"
-    },
-    "PER57": {
-        "path": "/home/pjluc/dev/fidle/IRIS",
-        "start": "Wednesday 16 December 2020, 21:01:59",
-        "end": "Wednesday 16 December 2020, 21:02:00",
-        "duration": "00:00:01 537ms"
-    },
-    "BHP1": {
-        "path": "/home/pjluc/dev/fidle/BHPD",
-        "start": "Wednesday 16 December 2020, 21:07:33",
-        "end": "Wednesday 16 December 2020, 21:12:10",
-        "duration": "00:04:37 856ms"
-    },
-    "BHP2": {
-        "path": "/home/pjluc/dev/fidle/BHPD",
-        "start": "Wednesday 16 December 2020, 21:13:48",
-        "end": "Wednesday 16 December 2020, 21:13:59",
-        "duration": "00:00:11 697ms"
-    },
-    "MNIST1": {
-        "path": "/home/pjluc/dev/fidle/MNIST",
-        "start": "Thursday 17 December 2020, 11:07:02",
-        "end": "Thursday 17 December 2020, 11:07:36",
-        "duration": "00:00:34 554ms"
-    },
-    "GTS1": {
-        "path": "/home/pjluc/dev/fidle/GTSRB",
-        "start": "Thursday 17 December 2020, 14:58:51",
-        "end": "Thursday 17 December 2020, 15:07:28",
-        "duration": "00:08:37 855ms"
-    },
-    "Fidle notebook": {
-        "path": "/home/pjluc/dev/fidle/GTSRB",
-        "start": "Thursday 17 December 2020, 15:34:34",
-        "end": "",
-        "duration": "Unfinished..."
+    "GTS2": {
+        "path": "/gpfsdswork/projects/rech/mlh/uja62cb/fidle/GTSRB",
+        "start": "Thursday 17 December 2020, 17:05:29",
+        "end": "Thursday 17 December 2020, 17:05:50",
+        "duration": "00:00:20 263ms"
+    },
+    "GTS3": {
+        "path": "/gpfsdswork/projects/rech/mlh/uja62cb/fidle/GTSRB",
+        "start": "Thursday 17 December 2020, 17:48:33",
+        "end": "Thursday 17 December 2020, 17:50:22",
+        "duration": "00:01:49 407ms"
+    },
+    "GTS4": {
+        "path": "/gpfsdswork/projects/rech/mlh/uja62cb/fidle/GTSRB",
+        "start": "Thursday 17 December 2020, 18:21:16",
+        "end": "Thursday 17 December 2020, 18:23:00",
+        "duration": "00:01:44 577ms"
+    },
+    "GTS5": {
+        "path": "/gpfsdswork/projects/rech/mlh/uja62cb/fidle/GTSRB",
+        "start": "Thursday 17 December 2020, 22:07:09",
+        "end": "Thursday 17 December 2020, 22:08:26",
+        "duration": "00:01:17 312ms"
+    },
+    "GTS6": {
+        "path": "/gpfsdswork/projects/rech/mlh/uja62cb/fidle/GTSRB",
+        "start": "Friday 18 December 2020, 13:33:50",
+        "end": "Friday 18 December 2020, 13:34:12",
+        "duration": "00:00:22 377ms"
+    },
+    "GTS12": {
+        "path": "/gpfsdswork/projects/rech/mlh/uja62cb/fidle/GTSRB",
+        "start": "Friday 18 December 2020, 13:48:06",
+        "end": "Friday 18 December 2020, 13:48:07",
+        "duration": "00:00:01 938ms"
+    },
+    "GTS7": {
+        "path": "/gpfsdswork/projects/rech/mlh/uja62cb/fidle/GTSRB",
+        "start": "Friday 18 December 2020, 13:52:25",
+        "end": "Friday 18 December 2020, 13:52:25",
+        "duration": "00:00:01 541ms"
     }
 }
\ No newline at end of file
diff --git a/fidle/pwk.py b/fidle/pwk.py
index 7042394adce1fcf9413ae437eb95d834b6bc7e4d..96256926d91db1be6857e5e1dec0c97ac2fd950d 100644
--- a/fidle/pwk.py
+++ b/fidle/pwk.py
@@ -107,7 +107,7 @@ def init(name=None):
 
     # ---- Save figs or not
     #
-    save_figs = os.getenv('FIDLE_SAVE_FIGS', 'no')
+    save_figs = os.getenv('FIDLE_SAVE_FIGS', config.DEFAULT_SAVE_FIGS)
     if save_figs.lower() == 'yes':
         set_save_fig(save=True, figs_dir='./run/figs', figs_name='fig_', figs_id=0)
     
@@ -142,7 +142,7 @@ def update_keras_cache():
 #
 def error_datasets_not_found():        
     display_md('## ATTENTION !!\n----')
-    print('Le dossier datasets sont introuvable\n')
+    print('Le dossier contenant les datasets est introuvable\n')
     print('Pour que les notebooks puissent les localiser, vous devez :\n')
     print('         1/ Récupérer le dossier datasets')
     print('            Une archive (datasets.tar) est disponible via le repository Fidle.\n')
@@ -430,7 +430,7 @@ def plot_confusion_matrix(y_true,y_pred,
 
     if target_names is not None:
         tick_marks = np.arange(len(target_names))
-        plt.xticks(tick_marks, target_names, rotation=45)
+        plt.xticks(tick_marks, target_names, rotation=90)
         plt.yticks(tick_marks, target_names)
 
     if normalize: