diff --git a/Python_notebook/CambridgeSpark_Laziz_WindFarm.ipynb b/Python_notebook/CambridgeSpark_Laziz_WindFarm.ipynb
index 6637188..c880778 100644
--- a/Python_notebook/CambridgeSpark_Laziz_WindFarm.ipynb
+++ b/Python_notebook/CambridgeSpark_Laziz_WindFarm.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 208,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 117,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -157,7 +157,7 @@
        "[2 rows x 22 columns]"
       ]
      },
-     "execution_count": 117,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -170,7 +170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -290,7 +290,7 @@
        "1            NaN        NaN  "
       ]
      },
-     "execution_count": 118,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -303,7 +303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -601,7 +601,7 @@
        "max       22.970893  "
       ]
      },
-     "execution_count": 119,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -613,7 +613,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -656,7 +656,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 121,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -666,7 +666,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -675,7 +675,7 @@
        "True"
       ]
      },
-     "execution_count": 122,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -687,7 +687,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -697,7 +697,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -706,7 +706,7 @@
        "True"
       ]
      },
-     "execution_count": 124,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -718,7 +718,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -728,7 +728,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -762,7 +762,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -773,7 +773,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -787,7 +787,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -802,7 +802,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -814,7 +814,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -845,7 +845,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -902,7 +902,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -912,7 +912,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -933,7 +933,7 @@
        "Name: WindDirection_360, dtype: int64"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -945,7 +945,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -955,7 +955,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -965,7 +965,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -997,12 +997,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjgAAAI5CAYAAACsKUBTAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAxOAAAMTgF/d4wjAAEAAElEQVR4nOydd3hUZfbHv3d6epv03ntICCSUBAgoKBas4IoodlyVLS4/ddVVV9fdVVdXEdS1IcraWAnoKsrSIYEkkISEJCSB9GTS6yRT7/39EScS05OZuTNv3s/z5BGTO/d+p937veec9xyG4zgOFAqFQqFQKAQh4FsAhUKhUCgUirGhBodCoVAoFApxUINDoVAoFAqFOKjBoVAoFAqFQhzU4FAoFAqFQiEOanAoFAqFQqEQBzU4FAqFQqFQiIMaHAqFYnKCgoIQFRUFnU439Lt58+bhyJEj/ImiUChEQw0OhUIxC2q1Gh988AHfMigUyiyBGhwKhWIWnnvuObzwwgvo7+/nWwqFQpkFUINDoVDMwpw5c5CRkYHXX3+dbykUCmUWQA0OhUIxGy+88ALeeOMNtLe38y2FQqEQDjU4FArFbAQFBeH222/Hiy++yLcUCoVCOCK+BVAolNnF008/jejoaIjFYr6lUCgUgqERHAqFYlbkcjk2b96MpqYmvqVQKBSCYTiO4/gWQaFQKBQKhWJMaASHQqFQKBQKcVCDQ6FQKBQKhTiowaFQKBQKhUIc1OBQKBQKhUIhDmpwKBQKhUKhEAc1OBQKhUKhUIiDGhwKhUKhUCjEQQ0OhUKhUCgU4qAGh0KhUCgUCnFQg0OhUCgUCoU4qMGhUCgUCoVCHHSaOIVCGQHHcejs7ERTUxMaGxvR1taG3t5e9Pb2oqenZ9R/9/X1obe3F/39/WBZdsx96/V6CIXCUf/GMAxsbW1hb28PBwcH2Nvbw9HREQ4ODkP/vfzfbm5u8Pb2hre3N9zc3CAQ0Hs2CoUyCB22SaHMIjiOQ0dHBxoaGtDY2DhkYOrr69HY2IjGxkYoFApoNBo4OjrCw8MDcrkcbm5usLe3H/pxdHSEk5PTiP+6uLjA0dERItHY904//PADVq1aNerf9Ho9ent70dnZie7u7qGfnp4edHd3o6+vDz09Pejr64NSqURHRwdaWlrQ2tqK7u5uiEQieHh4wMfHB76+vvD19YWPjw+8vb2Hfufu7g6GYUz1ElMoFAuBGhwKhUCUSiUqKipQXl6OCxcuoLS0FOXl5aivr4eDgwO8vLzg4eEBDw8PeHl5wdfXF/7+/ggMDERAQABsbW1Npm08gzNTVCoV6urqUFNTg7q6OjQ0NKCpqWnIBCkUCnR2dsLb2xsRERGIjo5GZGQkIiIiEB4eDicnJ5PoolAo5ocaHArFSuE4DvX19SgsLMSFCxdQVlaGsrIyVFVVQSgUIiAgAMHBwQgNDUVMTAzi4+MRHh4+ZnrIXJjS4EwGlmVx6dIlFBUVobS0FBUVFaiqqkJNTQ3UajUCAwMRFRWFqKgoREZGIiEhAcHBwTTqQ6FYGdTgUChWAMdxqKurw5kzZ5Cbm4vc3FycP38erq6uiIqKQmhoKKKiohAfH4+YmBiTRmBmCt8GZzzUajVKS0tRXFyM0tJSVFZW4sKFC1AoFIiMjMT8+fMxf/58JCcnIzQ0lJoeCsWCoQaHQrEwOI5DbW3tMDNTUlICNzc3xMTEIDExEYsWLUJqaipkMhnfcqeMJRucsdBoNDh79iyysrKQn5+P4uJiNDU1ITw8HCkpKcNMDy10plAsA2pwKBSe0el0KCgowOHDh3Hw4EEUFhbC3d0dsbGxSEpKwsKFC5GSkgKpVMq3VKNgjQZnNHQ6Hc6cOTPM9DQ2NiI6OhorVqxARkYG5s+fD4lEwrdUCmVWQg0OhWJmfmloCgoKEBERgQULFmDlypVIT08nxsyMBikGZzR0Oh2ys7Px448/IisrCyUlJYiMjMQVV1xBDQ+FYmaowaFQTMxEhmbJkiWz6qJHssH5JXq9HtnZ2di/fz+ys7Nx/vx5GuGhUMwENTgUiglQKBT49ttvkZmZiby8PISHh2PBggW48sorsXTpUqIjNBMxmwzOLzFEeH744QdkZ2ejpKQEsbGxWLNmDa6//noEBgbyLZFCIQZqcCgUI8BxHIqLi7F3715kZmais7MTGRkZuOGGG3DllVfOakPzS2azwfklOp0OR48exddff41Dhw5BKBRizZo1uOGGG5CcnGyWguWVK1dCoVBAIBDAwcEBb775JqKjo3HbbbehpKQENjY28PDwwNtvv42wsLBR9/H3v/8dH3/8MSQSCWQyGd58802kpKSYXDuFMh7U4FAo00Sj0eDYsWPIzMzEf//7X8jlclxxxRVYu3YtkpKS+JZnsVCDMzZlZWX44osv8OOPP6K2thYrV67EjTfeiBUrVsDGxsYkx+zq6oKzszMAYM+ePXjuuedw+vRpHDp0CFdffTUYhsFbb72F3bt348iRIyMeX1BQgDVr1uD8+fOwt7fHp59+ijfffBM5OTkm0UuhTBa6npFCmQKdnZ3YtWsXbr75ZgQGBuLVV19FeHg4srKykJubi7/+9a/U3FCmTVRUFJ599lmcPHkSBQUFSE1NxXvvvYeQkBBcc801eO+999Dc3GzUYxrMDQB0d3eDYRjIZDKsXr16qM/PggULUF1dPerjGYaBVquFUqkEMGiY/Pz8jKqRQpkONIJDoUyASqXCt99+ix07dqCwsBBLlizBDTfcgOuuu84q+9DwDY3gTB2NRoMff/wRe/bswcGDBxESEoK77roLN910ExwcHGa8/zvvvBOHDx8GAHz33XeIj48f9vcNGzbA1dUVb7zxxqiPf+WVV/Dss8/C1dUVUqkUx44dg6+v74x1USgzgRocCmUU9Ho9jh49ip07d+LHH39EamoqNmzYgOuvv37cQZKUiaEGZ2awLIsDBw5g586dOHLkCBYtWoS77roLq1atglgsntG+P/74Y3zxxRf47rvvhn730ksv4ZtvvsHBgwdH7ZBdVVWF22+/Hf/5z3/g4+ODt956C59//jlOnDgxIy0UykyhBodC+QmO43Du3Dns3LkTX331FcLDw7F27VqsX78e9vb2fMsjBmpwjIdarcZXX32Ff//73ygsLMR1112Hu+66CwsWLJj2GAkbGxvU19fDzc0Nr776Kj7//HP873//G5bKupxXX30V5eXl+Ne//gVgcNCrvb091Go1XQJP4RV6K0qZ9dTW1mLXrl3YuXMnbG1tcfPNN+P06dPw9vbmWxqFMi5SqRR33HEH7rjjDnR0dODjjz/GH/7wBzQ1NeH222/Hhg0bEBkZOebju7q60N/fDx8fHwBAZmYm3Nzc4Orqitdeew2fffbZuOYGAEJCQvDRRx+hr68P9vb2+PbbbxEREUHNDYV3aASHMivRaDTYs2cPtm3bhsbGRlx//fW4//77ER0dzbc04qERHNNTVVWFDz/8EF9//TVsbGzw61//GrfddtuIFFNNTQ1uvfVWDAwMQCAQwN3dHa+++irkcjn8/f0REhIyVOMjlUpx+vRpAMCf/vQn+Pj4YNOmTeA4Dn/84x+xZ88eSKVS2NnZYevWrUhOTjb786ZQLocaHMqs4tKlS3j33Xexa9cuzJs3Dw899BCuvPJKOiDRjFCDY15OnjyJt956C8eOHcONN96Ihx56CLGxsXzLolBMDj2rU4hHr9dj3759uOKKK7By5UpIJBKcOXMGmZmZWLVqFTU3FKJZvHgxPvvsM5w/fx7+/v5Yu3YtFi5ciF27dkGj0fAtj0IxGTSCQyGW9vZ2fPDBB3jnnXcQERGBhx56CNdddx01NDxDIzj8c+jQIWzduhV5eXnYuHEjHnrooaE6HAqFFOiZnkIcBQUFuPvuu5GQkIDq6mr8+OOP2L9/P9asWUPNDYUCYPny5dizZw9OnToFlUqFBQsW4NZbb8XJkydB73kppEDP9hQi4DgOBw8exLJly7BhwwYkJiaioqIC27dvH3N+DoUy2/H19cUrr7yCyspKXH311fj973+P+fPnIzMzEyzL8i2PQpkRNEVFsWpYlsW+ffvwwgsvQCqVYsuWLTRSY+HQFJVlc/DgQfztb39DfX09nnjiCdx+++0zbiBIofABvQpQrBKtVouPP/4YsbGx2LZtG1555RVkZWXhxhtvpOaGQpkBK1aswIEDB/DJJ58gMzMTEREReOuttzAwMMC3NAplStArAcWq6O/vx9atWxEREYHMzEx8+umnOHDgAJYvX863NAqFKObNm4c9e/Zg//79OHXqFCIiIvDSSy+hu7ubb2kUyqSgBodiFXR1deEvf/kLIiMjkZOTg/3792PPnj20mRiFYmIiIyPx6aefIjs7G3V1dYiNjcXjjz9u9KnmFIqxoQaHYtF0d3fjqaeeQlxcHBoaGpCdnY1PPvlk3PbzFArF+Pj5+eHtt99GYWEhgMEIzyOPPEKNDsVioQaHYpGoVCr84x//QFxcHHp7e1FYWIjt27fDz8+Pb2kUyqzGzc0Nf//731FWVgYXFxfMmzcPzzzzDHp6eviWRqEMgxocikWh1+vx4YcfIjo6GgUFBcjKysKbb74JNzc3vqVRKJTLsLOzwwsvvICCggJ0dHQgNjYW//znP6FWq/mWRqEAoAaHYiFwHIfMzEzEx8cjMzMT3377LT755BP4+/vzLY1CoYyDm5sbtm3bhhMnTiA3NxcxMTHYuXMn9Ho939IosxxqcCi8c/z4cSxYsACvv/463nvvPezbt48OA6RQrIzAwEDs2rULe/fuxRdffIE5c+bg22+/pZ2RKbxBG/1ReKOoqAhbtmxBc3MzXnjhBVx77bV8S6KYAdrob3Zw/PhxPPnkk2BZFq+++ioWLVrEtyTKLINGcChmp7m5GXfeeSduvvlm3HbbbThz5gw1NxQKYaSnp+PEiRN4/PHHsWnTJlx33XWoqqriWxZlFkENDsVs6HQ6vPnmm5g3bx4iIiJQUlKCjRs30s7DFArBrFmzBgUFBVi1ahWWLVuG559/HiqVim9ZlFkAvbJQzMKJEyeQlJSEo0ePIjs7G08//TREIhHfsigUihkQCAR45JFHkJ+fj9raWsTHx+Pbb7/lWxaFcGgNDsWkNDc347HHHkN+fj5ee+01WntBoTU4FOTk5OCRRx6Bh4cHtm7diuDgYL4lUQiERnAoJkGn0+GNN97AvHnzEBUVhcLCQnpRo1AoAICUlBScOnUKq1evxrJly/Dcc8/RtBXF6FCDQzE6x48fR1JSEo4fP07TURQKZVQEAgF+/etfIz8/H3V1dYiLi8M333zDtywKQdAUFcVotLS04He/+x0KCwvx2muvYeXKlXxLolggNEVFGY2cnBw8+uijkMvl2LZtG4KCgviWRLFyaASHMmM4jsPnn3+O+fPnD41YoOaGQqFMhZSUFGRnZ+Oaa67BkiVLsG3bNrAsy7csihVDIziUGdHS0oIHH3wQCoUCO3bsoFO+KRNCIziUiWhoaMB9990HpVKJnTt30mgOZVrQCA5l2nzxxReYP38+UlJScPLkSWpuKBSKUfD19cX333+PDRs20GgOZdrQCA5lyrS0tGDTpk1obGzEjh07EBUVxbckihVBIziUqVBfX4/77rsParUaO3bsQGBgIN+SKFYCjeBQpsSXX36JefPmITk5GVlZWdTcUCgUk+Ln54f9+/fjtttuQ3p6Ot555x06wJMyKWgEhzIpWltbsWnTJtTX12PHjh2Ijo7mWxLFSqERHMp0qaurw7333gutVkujOZQJoREcyoTs3r0bycnJSEpKQlZWFjU3FAqFF/z9/fHjjz9i3bp1SEtLw7vvvkujOZQxoREcypgMDAxg8+bNOHPmDD755BPExsbyLYlCADSCQzEGdXV1uPPOO+Hk5IQdO3bA2dmZb0kUC4NGcCijUlZWhvnz50MkEuHUqVPU3FAoFIvC398fBw8eREJCApKTk3H69Gm+JVEsDGpwKCPYsWMHVq5ciWeffRZvv/02JBIJ35IoFAplBAKBAH/+85/x3nvv4Ve/+hVeeeUVupycMgQ1OJQh+vr6cMcdd+Cdd97BsWPHcOutt/ItiUKhUCZk+fLlyMnJwcGDB7F69Wq0tbXxLYliAdAaHAoA4Ny5c1i7di1Wr16Nl19+mQ7HpIxAr9dDrVZDpVJBo9FAp9NBr9dDp9ON+cOy7FARKMdx4DgOPT09cHJyAsMwAACGYSAQCCASiYb9CIXCEb8Ti8WQyWSQSqX0M0oZAcuy+Pvf/45//etf+Pjjj7FkyRK+JVF4hBqcWQ7HcXjnnXfwt7/9Ddu2bcO1117LtyQKD2g0GvT19WFgYAAqlWrox2BotFotBAIBpFIpZDIZJBLJCPMxmjERCARgGGaYmTly5AiWLVs2zPjo9fpxzZLhbxqNZkiXXq+HSCSCTCYb+jHos7Gxgb29PSQSydCxKbOHkydPYuPGjdiwYQOeeuopCIVCviVReIAanFlMd3c37r33XrS0tOCzzz6Dr68v35IoJkSv10OpVKKvr2/oR6lUor+/H2KxGHZ2drC1tR1hFmQyGcRisdGMgrFWUXEcB51ON8KMqVQq9Pf3Q6lUQqPRQCaTwd7efujHzs4O9vb2NAJEOF1dXdi4cSO6u7vx2WefwcvLi29JFDNDv+GzlOLiYtx444245ZZb8MUXX9A7HILgOA4qlQpdXV1DP319fQAwdHG3t7eHn5/fkKmxxigHwzAQi8UQi8VwcHAYdRvDa2EwdB0dHairq0NfXx9YloW9vT2cnJzg7OwMZ2dnq30tKCNxdnZGZmYmXn/9dSxYsACffvop0tLS+JZFMSM0gjMLyczMxObNm7F9+3aakrJyOI7DwMDAkJHp7u5Gb28vpFLpsAu3g4ODxZhYS+mDw7Is+vr6hhnBgYEB2NvbD71uTk5OsLOzo6bHysnOzsb69evxxz/+Effddx/fcihmghqcWQTHcXjxxRexa9cuZGZm0jlSVgjHceju7kZ7ezva2trQ1dUFmUw27ILs6OgIgcByF0haisEZjV+anu7ubvT398PR0RFubm6Qy+Vwdna26NeXMjoNDQ1Ys2YNFi5ciNdff52mKGcB1ODMEvr7+3HXXXehq6sLX331Fe36aSUYVh21tbUNGRoHBwfI5XKrvdhassEZDYOpNLwH3d3dcHR0hFwuh5ubm1nfA5VKhdtuuw0lJSWwsbGBh4cH3n77bYSFhYHjODz//PP497//DalUCrlcjsOHD4/YR1FRER5++GG0tLRAJBIhJSUF27Ztg42NjVmeA5+o1WrcddddaGlpwe7du+Hq6sq3JIoJoQZnFlBXV4frrrsOS5Ysweuvv24xqQrK6PT19aG5uZkYQ/NLrM3g/JLxDI+npyccHBxMltJSqVQ4dOgQrr76ajAMg7feegu7d+/GkSNH8MYbb+Do0aP4/PPPIZFIoFAoRi2sraiowMDAABISEqDX63H77bcjOjoazz33nEk0WyIvvvgidu7ciczMTMTExPAth2IiqMEhnKysLPzqV7/C008/jfvvv59vOZRR4DgOHR0dUCgUaG5uhlAohJeXF+RyOVxcXKze0PwSazc4v4Rl2SHD09zcDJVKBQ8Pj6H30JTvX15eHm655RZUV1fDz88Phw4dQkRExJT28eqrr6K4uBg7duwwjUgLZe/evXj00Uexbds2XHfddXzLoZgAss6cPBMUFISoqCjodLqh382bNw9HjhwZtt3dd9+NF198cej/P/30UzAMg+rq6qHfXXXVVfjggw9mpOfDDz/E+vXrsWvXLmpuLAytVovGxkacPXsWBw4cQGVlJezs7LBo0SIsXboUkZGRcHNzI87ckIhAIICLiwvCw8ORlpaGJUuWwMXFBTU1Nfjf//6H3Nxc1NXVQaPRGP3Yb7zxBtasWYOenh40Nzdj7969SE1NRWpqKr744osJH69UKvH+++9jzZo1Rtdm6axZswbff/89tmzZgr/97W9Gm0o+2esAADz33HNwd3dHYmLi0M9f/vIXo+ig0GXiRketVuODDz7Agw8+OOY2GRkZ2LlzJ55++mkAwOHDh5GamoojR45g48aN0Ol0OHHiBN5+++1padDpdPjDH/6A48eP49ixY/D395/WfijGRaPRoLGxEU1NTejt7YWHhwd8fHyQkJBACx4JQiKRwN/fH/7+/mBZFm1tbVAoFLhw4QJkMhm8vb3h6+sLmUw2o+O89NJLqKysxMGDB6FSqaDT6TAwMIDTp0+juroaixYtQlRUFObMmTPq4zUaDdatW4eVK1fixhtvnJEWayU2NhZZWVm45ZZbUFhYiA8//NAotUiTuQ4YWL9+Pf75z3/O+JiUkdDbQyPz3HPP4YUXXkB/f/+Y22RkZCA7O3voju7EiRN48sknhxx+bm4u5HI5goODp3x8pVKJa6+9Fg0NDTh58iQ1Nzyj1+vR2NiI06dP4+jRo1AqlYiKisKVV16JxMREeHl5UXNDMAKBAB4eHkhISMCKFSsQHx8PrVaLEydOICsrC7W1tdBqtVPe76uvvoqvv/4a33//PWxtbeHq6gp7e3vccccdAAajCIsXL0Zubu6oj9dqtVi3bh28vb3xxhtvzOg5Wjuurq44cOAAXFxcsHTpUqPMsZrMdYBieqjBMTJz5sxBRkYGXn/99TG38ff3h7e3N06fPo3a2lq4urpi5cqVyMrKAjAY0Vm+fPmUj93e3o6MjAzExcXhiy++mPEdImV6cByH1tZW5Ofn4+DBg2hubkZISAiuuOIKxMbGwsXFhfZVmYUwDAMnJydERUVhxYoViIqKQldXFw4fPoy8vDwoFIpJTcJ+7bXX8Nlnn+HAgQPDVkP+6le/wv79+wEAHR0dyMnJQUJCwojH63Q63HbbbXB1dcW//vUv+lkEIBQKsX37dtx6661IS0tDTU3NjPY3meuAgV27dg1LUU0mtUiZHPTW0QS88MILSElJwaZNm8bcJiMjA0eOHEFgYCCWLl06tOSzqqoKR44cwYYNG6Z0zNraWqxatQr33HMPtmzZMtOnQJkG3d3dqK+vR2NjIxwdHeHv74+EhAS6ao0yAoZh4OrqCldXV8TFxaGlpQX19fU4d+4cvLy84OfnN6oRrq+vx2OPPYaQkBBkZGQAAKRSKU6fPo2//vWvuPvuu7F9+3YAwOOPP46UlBQAwJ/+9Cf4+Phg06ZN+OKLL/D1118jISEBSUlJAIDFixdj27ZtZnwFLJMtW7bA09MTy5YtwzfffIO4uLhp72sy1wGApqhMCTU4JiAoKAi33377UCFxV1cXEhMTAQDBwcHYs2cPMjIy8P777yMwMBDr1q0DACxduhQ//vgjTp48iY8++mjSxysuLsZ1112HZ599Fhs3bjT206GMg06nQ0NDA6qrqyEQCODv74+lS5dCIpHwLY1iJQgEAnh5ecHLywtarRYKhQJlZWVQqVQIDAyEv7//0OfJz89vzGJYNzc37Nu3b9S//fnPfx769/r167F+/XrjPxFCuPPOOyGXy7F69Wrs2rUL6enp09rPZK4DFNNCDY6JePrppxEdHQ2xWAxnZ2cUFBQM+3tGRgbuu+8+VFdXY+vWrQAGDc4jjzwCX1/fSQ++PHHiBG6//Xa88847WL16tbGfBmUMenp6UF1dPdRrJCkpCY6OjnzLolg5YrF4qEBZqVSipqYGR44cgVwuR1BQEE1vmonVq1fjq6++wrp16/DPf/4TN9xww7T2M9F1gGJaaA2OiZDL5di8eTOamppG/bu3tzcCAgLg4eEBe3t7AMCiRYtQVVU16fqbvXv34o477sBXX31FzY0ZYFkWjY2NOHHiBPLz8+Hk5ITly5cjISGBmhuK0bGzs0NMTAyuuOIKeHp6oqSkBMeOHUNtbS30ej3f8ognNTUVBw4cwJYtW/Dee+9Nax8TXQeAkTU4v/vd76YrmfILaKM/K+W9997Dyy+/jG+//RaRkZF8yyEatVqNmpoa1NbWwsXFBcHBwfROegaQ1ujPnPT09KCqqgrNzc3w8/NDcHDwrBixwCdNTU246qqrcPPNN+OZZ56h33srghocK8MwMHP37t3Yv38/vL29+ZZELAMDA6isrIRCoUBAQAACAwPpyjQjQA3OzNFqtaitrUVVVRXc3NwQFhYGBwcHvmURS09PD6699lrExcVh69atdOGAlUANjhXBsiw2b96Mc+fO4ZtvvoGTkxPfkoikt7cXFRUV6OjoQEhICAIDA+kJzYhQg2M8WJZFfX09Kisr4eDggPDwcDpI10So1WqsXbsWIpEIn332GV1IYAVQg2MlsCyL+++/HwqFAl9//TWkUinfkoijq6sL5eXl6OvrQ1hYGPz8/OioBBNADY7x4TgOTU1NqKiogFgsRkREBNzc3Gg6xciwLIt7770XLS0t9DxsBVCDYwXo9Xrcfffd6Orqwtdff0073xoRjuPQ1taGiooKaLVaREREwMvLi14YTAg1OKbD8HkuLy+HXq9HeHg4/TwbGZZlsWnTJtTW1iIzM5OmrS0YanAsHL1ejzvvvBP9/f346quvqLkxIu3t7SgpKYFAIEBERATkcjm9EJgBanDMQ2dnJyoqKtDf34/o6Gh4eHjQz7eRYFkWDz/8MCorK7Fv3z5a6G2hUINjweh0Oqxfvx56vR5ffPEFrQMxEj09PSgtLYVarUZMTAzkcjnfkmYV1OCYl66uLpSUlIBlWcTExMDV1ZVvSUTAsix+85vf4Pz58/j2229ha2vLtyTKL6AGx0LR6XT41a9+BbVajd27d9OCNiPQ39+PsrIydHV1ISoqCt7e3vSOlgeoweGH1tZWlJSUQCaTISYmhq66MgIcx+H+++9HeXk59u/fT02OhUENjgWi1+txxx13QK/X45lnnkFfXx9SUlJoBGeaqNVqlJeXo7m5GeHh4fD396fFwzxCDQ5/GIqRy8rK4OLigqioKJpemSYcxyE/Px8AsGPHDpw/fx7//e9/aU2OBUENjoXBsizuuusuKJVKfPXVVxAIBCgtLUV3dzc1OVNEp9Ph4sWLqK2tRXBwMIKDg+nrZwFQg8M/LMuitrYWFRUV8Pb2RkREBI0ST4HLzU1SUhIYhsHDDz+MiooKfPPNN3R1lYVAb2MtCJZlcd9996GnpwdfffUVhEIhGIZBdHQ0nJyckJOTQ1u0TwKO49DQ0IAjR45Ar9dj2bJlCAsLo+aGQvkJgUCAoKAgZGRkQCqV4ujRo6iurh5zkCflZ0YzNwCwdetWBAcH48Ybb4RGo+FTIuUnaATHQuA4Dg8++CAaGxuRmZk5YrUUx3E0kjMJent7UVRUBIFAgLi4uKE5XxTLgUZwLI+BgQGUlJSgr68PCQkJcHFx4VuSRTKWuTFg6Fdm6JMjFov5kEn5CWpwLISnnnoKp06dwvfffz9mqJianLHR6XS4cOECmpqaEBsbS3t/WDDU4FgubW1tKCoqgouLC2JiYmja6jImMjcGWJbF+vXrIRaL8fHHH9PzEI/QFJUFsHXrVvzwww/Yt2/fuCcUmq4ayeXpKKFQiIyMDLo6ikKZJnK5HEuXLoWDgwNNW13GZM0NMJj+++STT9Dc3IwnnnjCXBIpo0ANDs988cUX2LZtG77//nvY2dlNuD01OT/T29uL7Oxs1NXVYeHChYiKiqJRLQplhggEAoSGhiI9PR3t7e04duwYOjs7+ZbFG1MxNwZEIhH27NmDI0eO4PXXXze1RMoY0La4PHLw4EE8+eSTOHDgANzd3Sf9OIPJKS0tRU5OzqxLV7Esi4qKCtTV1dF0FIViImQyGZKTk9HW1oaCggLI5XJER0fPqm7q0zE3BmxtbfHdd98hPT0dnp6euP32200lkzIGNILDE2fPnsXdd9+N//znPwgNDZ3y42drJKenpwfHjx+HSqXC0qVLaTqKQjExcrkcS5YsgUgkwtGjR9He3s63JLMwE3NjwM3NDd999x2efvpp/PDDD8aWSJkAanB44OLFi7jxxhvx0UcfISkpadr7mU0mh2VZXLhwATk5OYiJicGcOXPoCgUKxUwIhUJER0dj7ty5OHfuHIqLi4k+3xjD3BgICgrCnj17cP/99yMvL89YEimTgBocM9Pc3IyrrroKL7/8MlasWDHj/c0Gk/PLqM1U0nkUCsV4uLi4YMmSJRAIBDh69Cg6Ojr4lmR0jGluDMyZMwc7d+7EzTffjIqKihnvjzI5qMExIz09PVi1ahU2b96MdevWGW2/pJoclmVRXl5OozYUigUhFAoRExODpKQkFBYWEhXNMYW5MbBs2TK8+uqruPrqq9HU1GS0/VLGhhocM6FWq3H99dfj2muvxaOPPmr0/ZNmcnp7e3H8+HEMDAzQqA2FYoGQFs0xpbkxcOutt+Kxxx7DqlWr0N3dbfT9U4ZDG/2ZAY7jcNddd0EkEuHDDz80+bGsvRlgbW0tysvLkZCQAA8PD77lUIwMbfRHHp2dnTh79iwCAwMRGhpqdYX/5jA3l/PMM88MNXadTavSzA2N4JiB119/HdXV1fjXv/5l8mNZcyRHp9PhzJkzqK+vR1paGjU3FIqVYIjmdHZ24vTp01Cr1XxLmjTmNjcA8Pzzz8PZ2Rlbtmwx+bFmM9TgmJj9+/fj7bffxp49e8zm1K3R5HR3d+PYsWNwcHDAwoULIZPJ+JZEoVCmgFgsxrx58+Dl5YXjx4+jra2Nb0kTwoe5AX7udnzs2DF89NFHZjnmbIQaHBNSXl6OBx54ALt374abm5tZj20tJofjOFRVVSE3Nxdz5sxBRESE1YW3KRTKIAzDICgoCPPnz8e5c+dw4cIFix31wJe5MSCTyZCZmYk///nPyM7ONuuxZwvU4JiIrq4uXH/99fjHP/6BOXPm8KLB0k2OVqtFXl4empubkZ6ebnYTSKFQTIOTkxOWLFkCpVKJrKwsqFQqviUNg29zY8Df3x87d+7Er371K9TX1/OigWSowTEBer0ea9euxbp163DrrbfyqsVSTU5XVxeOHTsGV1dXpKamQiqV8i2JQqEYEZFIhLlz58Lf3x8nTpxAa2sr35IAWI65MZCeno6nnnoK1113Hfr7+3nVQhrU4JiA//u//4ODgwOeffZZvqUAsDyT09DQgLy8PCQlJVnligsKhTJ5AgICkJqaiqKiIly6dInXlJWlmRsD999/P9LS0rBx40aLTelZI9TgGJmPP/4Yhw8fxieffAKBwHJeXkswOYYl7BcvXsTixYvh6upqdg0UCsX8ODg4ID09Hc3NzSgsLATLsmbXYKnmxsA///lPdHZ24qWXXuJbCjFYzhWYAE6dOoVnn30We/fuha2tLd9yRsCnydFqtcjJyUF/fz8WL14MGxsbsx2bQqHwj1gsxoIFCyASiZCVlWXWpeSWbm6AwQ7Ru3fvxqeffoq9e/fyLYcIqMExEo2NjbjtttvwySefwN/fn285Y8KHyVEqlThx4gTc3Nwwd+5cq2w+SKFQZg7DMIiLi0NAQACOHz9ulm6+1mBuDDg5OWHPnj149NFHcf78eb7lWD3U4BgBnU6HtWvX4rHHHkN6ejrfcibEnCantbUVWVlZiImJQVhYmEWfXCgUinkICAjA3LlzkZubi8bGRpMdx5rMjYGoqChs3boVt956Ky06niHU4BiB559/Hl5eXiaZMWUqzGFyqqqqUFRUhAULFsDT09Po+6dQKNaLq6srFi9ejIqKCpSVlRm9uNYazY2BNWvW4IorrsDDDz/MtxSrhhqcGXLo0CF8+eWXJp8xZQpMZXI4jkNxcTEaGxuRlpYGBwcHo+yXQqGQhY2NDdLS0tDX14ezZ88arfjYms2Ngddeew3FxcX49NNP+ZZitdBhmzOgubkZqamp+PLLL5GSksK3nGljzAGdLMsOO7FY0koyivHhOA5qtRpqtRoqlQoqlQpqtRosy4LjOHAcN+zfHMehrq4O/v7+EAgEYBgGDMMM/VsgEEAikUAmkw39SKVSq7xAUSYPx3E4f/48enp6kJKSMqOxNiSYGwMXL15ERkYG/ve//yEiIoJvOVYHNTjThGVZrFy5EldddRX+8Ic/8C1nxhjD5Oh0OuTm5sLe3h5xcXFWfWKZ7bAsO2RafmleLv83x3GQSqWQSqXDDMnlhuXy/zIMg7NnzyIpKWmY+bn8vxqNZugYhuMAGHGMy03Q5celWC8VFRVobGzEggULptX8kyRzY+Czzz7DX//6V+Tk5NAZfVOEGpxp8tJLLyE7Oxt79+4l5qQ6E5OjVqtx6tQp+Pj40GJiK0Ov16O7uxvd3d3o6upCV1cXNBrNmGbC8P/TNRQ//PADVq1aNaXHGCJFvzRZvzReIpEITk5OcHZ2hrOzM5ycnMw25JZiHGpra1FZWYkFCxZMqd0GiebGwAMPPACRSITt27fzLcWqoAZnGpw8eRJ33XUXcnJyiGtWNx2T09/fj1OnTiEsLAwBAQFmUEmZLgYz09XVNfRfrVYLJyenYcbAlHeK0zE4k0WtVg8zaj09PWAYZpjhcXJyglgsNsnxR2Pz5s3Yt28fampqkJ+fj8TERADA/v378fTTT0Oj0cDW1hbvvvvuqHPrfvjhBzz++OND/9/S0gIvLy+cPXvWXE/B7CgUChQXF2P+/PlwcnKacHuSzQ0w+LlOSUnBM888g1tuuYVvOVYDNThTpKOjA/PmzcPHH39sFUvCp8NUTE53dzdyc3MRFxcHLy8vM6qkTIROp0NPT8/Qxb67u3vIzBgu9qY2M6NhSoMzGhqNZthr0N3dPWR6Ln8tTGV6jh07hpCQEKSlpSEzMxOJiYno7OxEWFgYjh07htjYWBw/fhwPPfQQiouLJ9zftddei4yMDDz22GMm0WspdHR04MyZM0hKSoJcLh9zO9LNjYGysjKsXLkSR48eRXBwMN9yrAJqcKYAx3G47rrrkJqaimeeeYZvOSZlMianvb0dZ8+eRXJyMnGRLGtlYGAACoUCzc3N6OnpGZGusYQcvrkNzmgYTM/l0R5bW1t4eXnBy8sLdnZ2Rj9mUFDQkMHJy8vD7bffjvLy8qG/Ozo64siRI5g7d+6Y+2hsbERoaChqamrg4eFhdI2WRm9vL06fPo2YmBj4+PiM+PtsMTcGPvroI2zfvh0nT56ERCLhW47FQ5PTU+CNN96AWq3GU089xbcUk2NYQl5aWoqcnJwRJqe1tRWFhYVITU2Fo6Mjj0pnNxzHobu7GwqFAgqFAizLwsvLCxEREXBxcSH+hD9dJBIJPDw8hkwCx3Ho6emBQqFAXl4e9Hr9kNkxxesYHh6O9vZ2ZGVlYdGiRdi3bx96e3tRXV09rsHZsWMHVq9ePSvMDTA4w2rx4sXIzs4Gx3Hw9fUd+ttsMzcAcPfdd+PQoUN48skn8Y9//INvORYPNTiTpKysDK+//jry8vKIKSqeiLFMTktLC86dO4cFCxbA3t6eb5mzDr1ej7a2NigUCrS0tAxFHubPn2+SyMNsgGGYofqcyMhIDAwMoLm5GeXl5ejp6YG7uzs8PT3h4eFhlKJlJycn7N69G08++ST6+vqwcOFCxMTEjLtvjuPw4Ycf4s0335zx8a0JGxsbLFq0aMjk+Pn5zUpzY+Ddd99FcnIybrjhBmLLJIwFNTiTQK/XY8OGDXj55Zfh7u7Otxyz8kuTExQUhPPnz2PhwoX0YmpG1Go1mpuboVAo0NnZCTc3N3h5eSEmJsasBbOzBRsbGwQFBSEoKAg6nQ6tra1Dha8ODg5D0Z2ZDI3NyMhARkYGgMH31/B+jsXRo0ehUql4T+/xgUwmw6JFi5CVlQWWZdHW1gZg9pkbAEMF6ffccw8KCgroeXgcqMGZBK+++ioCAgKwbt06vqXwgsHk5OXl4cyZM1i6dCn9UpkBrVaLhoYG1NXVQa1Ww9PTE8HBwZg3b96siSJaAiKRCN7e3vD29gbHcejs7IRCoUB2djYEAgH8/Pzg7+8/5b4tTU1N8Pb2BgC88MILWL58OcLCwsbc/oMPPsDGjRtn7bBaqVSKhQsX4tChQ3BwcEBaWtqsMzcGlixZglWrVuGJJ57A1q1b+ZZjsdAi4wkoLS3F1Vdfjby8vHEr+UnHkJZyd3dHf3//jDseU0bHcAGtqalBa2srfHx8EBAQAAcHB2JO5pZQZGws+vr6UFdXh/r6eri4uCAwMBByuXzYe/Xggw/iv//9LxQKBdzc3ODg4IDKykrcf//9OH78OHQ6HRYuXIitW7fC2dkZAPCnP/0JPj4+2LRpE4DB1Yo+Pj4oKipCSEgIH0+VdwxpKb1ej76+PoSFhcHf359vWbyhUqmQlJSEd999F0uWLOFbjkVCDc446HQ6LFiwAFu2bJm10Rvg54LihQsXwtbW1mhjHSg/o9FoUFdXh9raWkgkEgQGBsLb25vI15ckg2OAZVm0tLSgpqYGvb29CAgIQEBAgEWsWiOBX9bcaDQaZGVlITw8HH5+fjyr44/jx4/TVNU4UIMzDn/9619x5swZ7N69m28pvNHW1oaCgoJhBcXGnF012+nu7salS5fQ1tYGX19fBAQEEF+4TaLBuZyBgQHU1tairq4OTk5OCAkJgaurKzEROHMzVkGxSqVCVlYWIiMjh62umm08+uijYFkW27Zt41uKxUENzhiUlJRg9erVOHPmDNzc3PiWwwudnZ04c+YMUlNTR0wEpyZn+nAcB4VCgYsXL0Kv1yMkJAS+vr6zpq6GdINjwPA+X7p0CTqdbta9z8ZgotVSKpUKJ0+eRFxcHDw9PfmQyDuGVNXbb7+NZcuW8S3HoqAGZxR0Oh1SU1Px+OOPY+3atXzL4YW+vj5kZ2dj/vz5Q3UBv4SanKmh1WpRU1OD6upqODs7IyQkZFb2qpktBudyLo/UBQQEIDAwkKavJmCyS8GVSiWys7ORnJwMFxcXc0q0GE6cOIGNGzeioKCA+AjwVKAGZxReeukl5Ofn46uvvuJbCi8Y7ori4+MnbChGTc7EaLVaVFZWoq6uDn5+fggODp7R8mJrZzYaHANqtRo1NTWoqamBp6cnIiMjpzU1m3Sm2uemq6sLubm5WLBgwYho82zhN7/5DbRaLR3IeRnU4PyC4uJiXHvttbM2NaXVanHy5EmEh4dPOq9NTc7o6PV6VFVVoaqqCv7+/ggNDaU9azC7DY4BvV6P6upqXLp0iX42fsF0m/gZFkMsXrx4Vt5AqNVqJCUlYdu2bUP9lWY7NBl8GSzL4u6778bLL788K82NXq9HTk4OAgICplS0Z+iT4+TkhJycHOj1ehOqtHw4jkNtbS0OHz6MgYEBLFmyBFFRUfQCRhlCKBQiNDQUy5YtA8dxOHLkyFBN1mxmJh2K3d3dERMTg9OnT0Or1ZpKosUilUrx3nvv4YEHHoBKpeJbjkVADc5lfPjhh3B3d5+VdTccx+HMmTNwcXGZVp8NanIGX8OmpiYcOXIEra2tWLhwIeLj42kKgjImYrEY0dHRSE9Ph1KpxOHDh1FXV4fZGFg3xvgFHx8fBAYG4vTp07PyHLR48WIsWbIEf/vb3/iWYhHQFNVPdHR0IDExEYcOHRq3myiJcByHc+fOgWVZJCYmzqjodbamq9rb21FSUjJ0wXJycuJbksVCU1Rjo1QqUVZWhp6eHkRHR8PT03NWFKEbe7ZUWVnZ0DloNrx+l9PR0YGkpCQcOXIEwcHBfMvhFWpwfuLBBx+Eq6sr/vrXv/ItxeyUl5ejs7MT8+fPN8oS1tlkcnp6elBSUgKtVouYmJhZmdqcKtTgTEx3dzdKSkqg1+sRExMDV1dXviWZDFMMzuQ4DoWFhWAYBnPmzJnx/qyN7du347vvvsO3337LtxReoSkqAGfOnMGhQ4fw3HPP8S3F7DQ1NaGxsRHJyclG688xG9JV/f39OHPmDM6cOYPAwECkpaVRc0MxGk5OTli4cCGioqJQXFyM06dPo6enh29ZRsdUU8EZhkFCQgKUSiWqqqqMsk9rYtOmTWhpaaEGh28BfMOyLDZt2oS///3vs65WoqenB8XFxUhJSYFIZNy5q6SaHL1ej5KSEmRlZcHd3R3Lli2Dt7f3rAuDU8yDXC5Heno6/P39kZeXh8LCQmIKaE1lbgwIBALMmzcPVVVVQ9PHZwsCgQBbt27F7373u1ldcDzrDc5HH30EuVyOm266iW8pZkWtViM3Nxdz586Fra2tSY5Bmsnp7OzEsWPHwLIsMjIyEBAQQI0NxeQwDAMfHx8sW7YMNjY2OHr0KFpbW/mWNSNMbW4MSCQSzJ8/H/n5+VAqlSY5hqWSmpqK9PR0/P3vf+dbCm/M6hqc2VpYzLIssrKy4O/vj8DAQJMfz9prcvR6PS5cuICmpiYkJibSVNQMoTU4M6Onpwf5+flwdnZGTEyM1bUfMJe5uZzm5maUlJQgLS3N6l6vmTDbC45ndQTnj3/8I26//fZZZW4AoKioCE5OTmYxN4B1R3K6urqGojZLly6l5obCO46OjkhPT4dMJrO6aA4f5gYAPD094efnh7Nnz86qJfiurq7YsmULNm/ezLcUXpi1Bufs2bM4ePDgrCssrqqqglKpRGxsrFmPa20mR6/Xo7S0FGfOnEFCQgLi4uKMXqdEoUwXgUCAyMhIpKSk4Pz58ygsLIROp+Nb1rjwZW4MhIWFQSQSoayszKzH5Ztf//rXUCgU+O9//8u3FLMzKw3O5YXFs2ngXVtbGy5duoR58+bxMtHYWkyOIWqj0+lo1IZi0Tg6OmLJkiWQyWRDDSYtEb7NDTB4/klMTERraysaGhrMfny+EAgEeOutt/Db3/521hUcz0qD89lnn8HJyWlWFRYPDAwgPz8fKSkpkEgkvOmwZJPDsuywqE18fDyN2lAsHkM0Z/78+RYZzbEEc2NAKBRi/vz5KC0tJXLZ/VikpqZi0aJFePPNN/mWYlZmXZGxRqNBdHQ0du/ejaSkJL7lmAVDUXFQUBD8/Pz4lgPA8gqPu7q6kJ+fD7lcjujoaGpsTAgtMjYdLMuioqIC9fX1mDNnDuRyOa96LMncXE5bWxuKioqQnp4+a77rDQ0NWLBgAYqKiuDs7My3HLMw6yI47777LubNmzdrzA0w2KnY3t7eYswNYDmRHI7jUFZWRqM2FCIwRHPmzZuH4uJinDt3jtfvliWaG2Cwv5C3tzeKior4lmI2fH19ccstt8yqbv2zKoLT19eHmJgYHD58GKGhoXzLMQutra0oLi622DsVPiM5Wq0WeXl5kMlk1NiYERrBMQ+GlGt7eztSUlLMWm9oyebGAMdxyMrKQkBAAPz9/fmWYxa6u7sRFxeH06dPw8fHh285JmdWRXD+8Y9/4Oqrr5415katVqOwsBDJyckWe/HmK5LT19eH48ePw9PTE4mJiRb7+lAo00UgECA2NhYhISE4ceIEOjs7zXJcazA3wOC5Z+7cuSgrK0NfXx/fcsyCk5MTHnjgATz77LN8SzELsyaC09rairlz5+Ls2bNwd3fnW47J4TgO2dnZ8PX1NVu/m5lgzkhOS0sLCgsLMWfOHHh4eJjsOJTRoREc89PZ2YkzZ84gKirKpKlqazE3l9PS0oKSkhKkp6fzXgtoDtRqNaKjo7F//35ERETwLcekzJoIzosvvog77rhjVpgbAKioqIBUKkVAQADfUiaFOSI5HMfh4sWLKC4uxsKFC6m5ocwaXFxckJaWhkuXLqGkpMQkze6s0dwAgIeHB9zd3XH+/Hm+pZgFqVSK3//+93jyySf5lmJyZoXBqampQWZmJp5++mm+pZiF9vZ21NfXIyEhwWpOMoBpTY5er0dBQQFaW1uRnp4Oe3t7o+2bQrEGZDIZFi9eDJVKhZycHKMO7bRWc2MgOjoaXV1daGxs5FuKWXjooYdQWlqKvLw8vqWYlFlhcJ566ik88sgjsLOz41uKydFqtcjPz0dycrJVzlwxhclRqVTIysqCRCJBamqqVb4uFIoxEAqFSEpKgpubG06cOGGUAZTWbm6AnyePnz9/HgMDA3zLMTlCoRDPPvss/vCHP/AtxaQQb3CKioqQk5OD3/zmN3xLMQvnz59HQEAAnJyc+JYybYxpcrq6unDixAkEBQUhNjbWKk++FIoxYRgGYWFhiImJQVZW1oy6H5NgbgzY2toiKioKBQUFs2Je1a233or+/n4cOHCAbykmg3iD8/jjj+OJJ57gtXuvuWhpaUF3dzcRw0ONYXIaGhqQl5eH5OTkWbMMlEKZLJ6enkON3y5dujTlizpJ5saAn58fBAIBamtr+ZZicgQCAV566SVs2bIFLMvyLcckEG1wcnNzUVdXh40bN/ItxeRotVqcO3cOSUlJvMyZMgXTNTmGFVmVlZVYvHgxXFxcTKyUQrFOHBwckJaWhubmZhQWFk76QkeiuQEGzzlz5sxBeXn5rEhVXXHFFZDL5di7dy/fUkwCGVfCMXjhhRfw2GOPEXPBH4/i4mIEBgbC0dGRbylGZaomh2VZ5OXlob+/H2lpabCxsTGTUgrFOjHUpolEImRnZ084x4pUc2NAJpPNqlTV008/jRdffJHI50rslb+0tBRlZWXYsGED31JMTnNzM3p7e4ltYDhZk6PX65GbmwuZTIa5c+fOip4WFIoxEAgEiIuLg4eHB7Kzs8dcYUW6uTEwm1JVy5Ytg1QqxaFDh/iWYnSINTgvvfQSHn74YeIvclqtFkVFRUSlpkZjIpOj0+mQk5MDBwcHxMXFEXvipVBMSXh4OHx9fZGVlQWNRjPsb7PF3ACzL1W1ZcsWvPDCC3zLMDpEXhFra2tx/PhxPPTQQ3xLMTmG1JSDgwPfUkzOWCZHp9Ph9OnTcHV1RXR0NNEnXgrF1ISEhCAwMBBZWVlQq9UAZpe5MSCTyRAdHT0rUlVr1qxBR0cHcnNz+ZZiVIg0OC+//DLuuece4ldOtbS0oLe3l4hVU5PllyZHpVIhOzsbHh4eiIyMnBUnXgrF1AQFBSEkJARZWVkYGBiYdebGgK+v76xIVQkEAvzud78jLopDnMFpbW3F3r178fvf/55vKSZFr9ejqKgIiYmJs+qEA/xscuzt7XHw4EF4e3sjPDycb1kUClEEBAQgPDwchw4dgk6nm3XmBhieqvplyo407rzzTpSVlaG0tJRvKUaDOIPz+uuv47bbbiO+FX9lZSU8PT2JWzU1WXQ6HTo7O+Hi4oLW1lazTSGnUGYLHMehpaUFTk5O6OvrG0pXzTZkMhmCg4OJuvCPhlAoxK9//Wu89NJLfEsxGkQZnJ6eHuzcuROPP/4431JMilKpRG1tLSIjI/mWwguGmhsfHx8sXLjQpAM6KZTZyOU1N4sXL0Z4eDiys7NnrckJCQlBR0cHOjs7+ZZiUh566CEcO3YMNTU1fEsxCkQZnO3bt+Oaa66BXC7nW4pJKS4uRnR09KycqaTX65GTkwN3d3eEhYWZZQo5hTKbGK2g2N/fHyEhIeMuIScZgUCA+Ph4nDt3juiCY6lUinvuuQcvv/wy31KMAjEGZ2BgANu2bSN+YnhzczO0Wi18fX35lmJ2WJZFbm4uXFxchkWvqMmhUIzDeKulAgMDERgYOGtNjlwuh729PTHRjbF47LHHsHfvXrS0tPAtZcYQY3A+/vhjLFmyhOiZQ3q9HsXFxUhISJh1xX6GDsX29vaIiooa8XdqcijGYvPmzQgKCgLDMCgoKBj6/cqVK5GQkIDExESkp6cPGYFfUl1djWXLlsHJyQmJiYnmEW0EJrMUPDg4GL6+vjh16tSEHY9JJCYmBhUVFUQXHNvb2+O2227DG2+8wbeUGcNwBMTbOI5DTEwMPv/8c8yZM4dvOSbjwoUL0Gq1iIuL41uK2SksLASACc2dYQ5Vd3c3UlJSiG/0aGlwHAetVguVSgWVSgWdTgeWZcFx3NBPcXEx4uLiIBAIwDAMBAIBhEIhZDIZZDIZJBIJrwb+2LFjCAkJQVpaGjIzM4dMSldXF5ydnQEAe/bswXPPPTf0ubycjo4OlJSUoLu7G0899dQwk2SpTLXPzYULF9DV1YWUlJRZd7NVWVkJpVJJ9LVGoVBg3rx5qKyshEwm41vOtBHxLcAYHD58GHK5nOgPXH9/P2pra7Fs2TK+pZidqqoq9PX1YeHChROeTA2RnNLSUuTk5FCTY2S0Wi26u7uhVCqHTIxarR76N8dxkEgkkEqlkMlkEIvFQ0bG8AMMfp4NhodlWeh0uqF9qdVqMAwztA/Dj1QqhZ2dHZycnEza42rJkiWj/t5gbgCgu7t7zM+iq6sr0tLScOTIEROoMz7TaeIXERGBs2fPoqysDNHR0aaWaFGEhITg6NGjQ6s4ScTLywsLFizAl19+iTvvvJNvOdOGCIPzz3/+k/iuxefPn0dUVNSsKyxua2vDpUuXkJ6ePulRFNTkGAeDmenq6hr6L8dxcHR0hIODA2Qy2dB/DT+TeY9qamomvCiyLDvMOBn+3dbWhu7ubnAcBycnJzg5OcHZ2RnOzs5maex555134vDhwwCA7777zuTHMzXT7VDMMAwSExNx4sQJODo6zqqaQEPBcVFREdLT04mNYP32t7/F5s2bqcHhk5qaGhQXF2PdunV8SzEZnZ2dUCqV8PPz41uKWVEqlcjPz0dqauqUL17U5EwNjuPQ3d2Ntra2IUNjMBHOzs7w9/dHfHy82bqDCwQC2NjYjDkN/nLzVVdXh6KiIrAsO6RXLpfDxcXF6BefnTt3Ahis+Xv88cet2uTMdPyCUChESkoKTp48CTs7u2ERLtKRy+WQSCRQKBTw9vbmW45JSEtLA8MwQ+dPa8TqDc727duxfv16Yi9eHMehpKQEMTExxN4pjIZheGZ8fPy0mxlSkzM+er0ebW1tUCgUaGlpga2tLTw8PBAYGGjyNNBMEYvFkMvlw1pCaLVa9PT0oKurC+Xl5ejp6YFcLoeXlxc8PDwgEhnvdHfXXXdh06ZNaG9vh5ubm9H2ay6MNVvKxsYGc+fORV5eHtLS0qy6XmOqxMTEIC8vD56ensQOOn7ggQfwxhtvYNeuXXxLmRZWbXBUKhV27do15moGEmhtbQUAuLu786zEfHAch7Nnz8LPzw9eXl4z2hc1OcNRq9Vobm6GQqFAZ2cn3Nzc4OXlhZiYmEmnP1U6DThM32xzAAZ001tmzACQiUbXKRaL4ebmBjc3N4SGhkKn06G1tRUKhQLFxcVwcHCAl5cXvLy8xowMjUVXVxf6+/vh4+MDAMjMzISbmxtcXV2n9Tz4xNiDM11dXREZGYnc3FwsWrRo1ny/HB0d4ezsjLq6OgQGBvItxyRs3LgRL774IlpaWuDh4cG3nClj1auoPv30U2RmZmL37t18SzEJHMfh6NGjmDNnDrHFbKNRWlqK/v5+zJ0712hRq9m8ukqlUqGurg4KhQJqtRqenp7w8vKCm5vbtO48+3UafFNzHuXdrdPSE9U4gDKfqRkMAPCydcDdEakQTUMzx3Ho7OyEQqGAQqGAQCCAt7c3/Pz8YGdnN2zbBx98EP/973+hUCjg5uYGBwcHHDx4ELfeeisGBgYgEAjg7u6OV199dWiF1X333Yfrr78e119/Pfr7+xEREQG1Wo3u7m54eHhgw4YN+Otf/zpl3cbGlFPBz58/D41GM6vm4/X39yMrKwsZGRnEnlMeffRR+Pn5WeWEAKs2OIsWLcKLL76I5cuX8y3FJNTX16OpqQnz58/nW4rZaGhoQGVlJdLS0ox+wphNJscwR6i6uhq9vb3w9/eHt7c3HBwcZnzx6ddpsKvyDH6ovzCtx9/U74Svbbun/Lj57gF4JCYNduKZp86USiWamppQW1sLmUyGoKAgeHl5EZtqAExrbgz7P3XqFDw8PBAaGmrUfVsyRUVFsLGxQVhYGN9STEJFRQWuuuoqVFRUWN33w2oNzvnz57F27VqcP3+ebykmgWVZHD58GKmpqcQPDjXQ1dWFvLw8LF68eMophMlCuslRq9Worq5GXV0dHB0dERQUBHd390lfzDiOg5rVQc+ysBNLR92GZVkIBAKw0zx1HPjxR1y5cuWUHydgGKh0OsiMWEvDcRw6OjpQU1ODtrY2+Pr6Ijg4GLa2tkY7hiVganNjQKvV4vjx44iLi7PKlMZ0UKvVOHbsGJYtW0bsKteMjAz88Y9/xJVXXsm3lClhtQbnkUcegZ+fH5544gm+pZiEqqoqdHd3W1Un1JmgUqlw4sQJzJ071+R1DSSanK6uLly6dAnt7e0ICAhAYGDglAo+OY6DSq+DltXjq6oC3BOROu5FsLC2Cbe//fm0tD6eFIC/59dO+XGv3LYaVydEmPTiXFtbi6qqKjg6OiI0NBSurq5Wn24xl7kx0NfXh+zsbCxcuHDW3JxduHABer0eMTExfEsxCbt27cKXX36JvXv38i1lSlhXvOkn+vv7sWfPHmzatIlvKSZBp9OhsrJy1kwL1+v1yM3NRUREhFmKNkka69DS0oITJ06gsLAQHh4eWLFiBSIjIydlbjiOg1avg47Vo7izCU/kfIuUva/jg7LT6NeN34o+UG7+mrBIL7lJL85isRihoaFYsWIF/P39UVZWhqNHj6KxsdFqByya29wAg63+58yZg5ycnFkzsyo0NBQNDQ1QqVR8SzEJ69atQ0FBARobG/mWMiWs0uD85z//QVpaGrF9F6qqquDj42OyNI2lUVRUBFdXVwQEBJjtmNZucjo7O3Hy5ElUVFQgOjoaS5cuhZ+f36Ry5BzHYUCngYbV4z/VRbjuxw9ww4GPoGF12HvFvTh67SMQcALoWXbMfTjbymAvNe8ycl9XJ7Mch2EYeHt7Y/HixUhKSkJdXR2OHTs2tKLRWuDD3BgwtBs4c+aM1ZrDqSASiRASEoKKigq+pZgEkUiEm266CTt27OBbypSwSoPz8ccf4+677+ZbhknQ6/Worq6eNUV6CoUCvb29vIR2rdHk9PX1ITc3F4WFhQgLC8OiRYsm3YdFx7LQ6HWoV3bjr4WHkJL5Ov6S/yPWBSci9/rf4c2FN6G8uh13vPMFnt3zP6i1Yw9TVGt1CHY3XxTHw9EOUpH5U4lOTk5ITU1FfHw8Lly4gOzsbHR1dZldx1Th09wYCAkJgVAoRHV1tdmPzQeBgYFDKxVJ5L777sMnn3xiVYbV6vrgNDc3o7KyEiunUaRoDdTW1sLDw2NWNMzSaDQoKiqa1IwpU2EtfXJUKhUuXLiA1tZWREVFwdfXd1KvGcdxUOt1EAmEONxYgQ/KTyO3tQ6Jbj54P30d4l180NU/gPcP5SLzzHl0DwyenNt6lZBJxi6Y1LMsQjzcUFTfbLTnOB4h7m5QaXWwGUeTKXF1dcXixYvR3NyM/Px8ODg4IDo6esQSc0vAEswNMPjdSkhIwLFjx+Dh4WGRr5UxEYlECAwMxKVLl4iczxUbGwtbW1ucO3fOauY+Wl0E57PPPsPq1autbrnaZGBZFhcvXkR4eDjfUsxCUVERQkJCeC9EtORIjlarRUlJCY4fPw4HBwcsX74cfn5+E160WI6DSqdFl2YAb5dmIe2brfj1yd1IdvPDiWsexZfL74KqU49HP9mLK/7+Pj4+cXbI3ACAorsPncqBMfcvFgnNGsEJ8XABB37vHBmGgZeXF5YtWwZPT09kZ2fj3LlzFlV3YSnmxoBUKkVsbCwKCgqs6s5/ugQHB6Ouro7Y2qObbrppaFyJNWB1EZydO3fivffe41uGSWhsbISLiwtxS1RHo6mpaaiZnyVgaZEcjuNQV1eHCxcuICAgABkZGROOGuA4DhpWDyEjQEF7Az64cBoHG8vhY+uEF5KvwiL3YOhZDp+fKsCXp4vQ1N077v5OX6zDVQkREIxykRQLhYjx8ZzRc5wKYR7yMTsYmxuGYeDv7w8fHx9UV1fj+PHjCAkJQUhICK+GwtLMjQEfHx80NDSguroawcHBfMsxKWKxGH5+fqiuribyRvWee+5BamoqXn75ZYuMdP8SqwqDXLhwAWq1GsnJyXxLMTocx6GiooLIL8Uv0Wg0KC4utqiTMGA5kZyBgQGcPn0ajY2NSEtLQ2Rk5LjmZrBoWAuVXofPL+bjqv3vYt2hnbAVirF/1QP439UPwRvOeG7P/7DkL+/ijR+zJjQ3AHD6Yi1UmrHvREM9zDemINrHHQKB5XxWgMFhk6GhoVi6dCm6urpw4sQJ9PX18aLFUs2NgYSEBFRWVkKpVPItxeSEhISgurraoiLBxsLb2xthYWE4evQo31ImhVVFcD755BPcdNNNfMswCc3NzbC1tZ32YElrwlJSU6PBZySH4zjU19ejrKwMkZGR8Pf3H/dCpWP14ADU9nXivbJT+La2BGKBEE/MWY5VPlGwEYvxzdlSPJb9PcoVbVPWk1fVAKl47FOEh6M9xEIBtPqxV1sZCz6WpU8WiUSC5ORkNDU1ITs72+zRHEs3N8DwVNWiRYssUqOxkMlk8PDwQF1dHYKCgviWY3TWrVuHnTt3WsUEAasxOBzH4bPPPsPBgwf5lmJ0OI5DeXk54uLi+JZicpqamjAwMGAxqanR4MPkqFQqFBYWgmVZpKWljdkiwNCQTywQ4Pu6MnxUnoPCjkYs9AjErmV3IMrZA609Srz1Yzb25ZdCqR6/n814VLd1ol+thYPNGB2NOQ7+rs641Nox7WNMBnupBE62ll907+3tDTc3NxQVFeHkyZNITEw0uYm3BnNjwMfHB42NjaiqqkJISAjfckxKeHg4srKyEBAQQFy96Pr16/H8889DpVJZ/GIYq3nlT506BS8vLyIdcXt7O4RCoVVOJp4KlpqaGg1zpasMtTbHjx+Hl5cXFixYMKq5YX8yNq0qJd4oPoYFe9/AH3L2YblPGLKv/Q12LL0dbc39eODDr7HqlQ/x2anCGZkbA2dqGsYsDtXodAgxQ5oq2MN13CXrloQhmhMaGopTp07h4sWLJiuutSZzYyA+Ph4XL14kPlVla2sLFxcXq2uMNxns7e2xYMECfPvtt3xLmRCrieDs3LkTt9xyC98yTEJlZeWsqL0pKipCaGio1SwXNXUkZypRGwD4XXYmDjRcQKiDG/6xYA3muwVArdXh06x87M4tRluv8S8a2RW1SA3xH3V5tlAgQIi76Q1OqLsrdCyL0eNIlskvozlJSUlG/dxbo7kBfk5V5efnY/HixVajezqEh4fj7Nmzk27pYE2sX78eH330kcVfk60igqPVarFv3z7cddddfEsxOkqlEv39/XB3d+dbiklpbGzEwMCA1a2iMFUkx1CUOl7U5nINGr0ONwfF49DVv8Z/r3oADmoZnvjieyx96V28c+i0ScwNAORV1UM0RohdIhIi0ltukuNeTrC7KyQ8NPmbKYZoTkhICLKysozWCdlazY0BHx8fyGQyVFVV8S3FpDg6OkIsFqOjw7QpXD5Ys2YNCgsLLf65WYXB+fHHH5GYmEhkCqeqqgpBQUFWd5KaCmq1GufPn7fKkzFgfJPT0NCAvLw8JCcnIzAwcFKviUwkxjLvcJRUt2DN6zux4d0vcbDkIvSsaXuLlCvaoOdGLyJmGAYRXqY35jG+HhBbwZLUsfDx8cHChQtRVFSES5cuzShlZe3mxkBCQsKsSFWFhIQQaeREIhFWrlyJL7/8km8p42IVBuezzz6z+FDYdNDpdGhsbIS/vz/fUkyKtaWmRsMYJscwxfzixYtYvHgxXFymtjKIAwdXe1tUt3VO+djTheU4nKtTjPl3X1fTr/ozR52PqbG3t0d6ejqam5uH0pJThRRzAwxGt+Li4pCfn090A0AvLy90dXVhYGDsppnWyoYNG/D555/zLWNcLN7g6PV6HDp0CDfffDPfUoxOfX09vL29IRZbRgMzU9DS0gKVSmV1qanRmInJ0Wq1yMnJQX9/PxYvXjytQapioRCJAd5YGWfeeq2T5TVQjVHkKxYK4eVkupVCYqEAHg6W105gOojFYixYsABisRgnT56c0swiksyNAW9vb8hkMtTW1vItxWQwDIPAwEAi53EtWbIEFy9eRHd3N99SxsTiDU52djYiIyOJ6w/DcRyqq6uJXBVmgOM4lJSUIDY2logTMjA9k6NUKnHixAm4ublh7ty5MypUFguFePaGFbA140yms9UNGOvdU2l1CDZhoXGAmzNYgu7wGYZBbGwsAgMDcfz48UldHEg0NwZiYmJQUVFBZFM8A4GBgaivr59W1M6SEQgEWLx4Mfbv38+3lDGxeIOTmZmJVatW8S3D6HR2dkIsFsPBwYFvKSajoaEBdnZ2U07FWDpTMTmtra3IyspCTEwMwsLCZnxxYhgGMokYv1m5eEb7mQpF9c0QjtFFmIFpU0gh7q5Q66xjifhUCAgIwNy5c5GbmzvuUmKSzQ0wuJzay8sLly5d4luKyZBIJHB1dYVCMXaq11q5/vrr8fXXX/MtY0ws3uDs27cP69at41uG0SE9esOyLC5cuEDkVF1gcianrq4O586dw4IFC+Dpaby5TTKxCOsWJCDSy/QrmABAq9ejrGn0FUBSsQhhHm4mO3awu+uYq7isHcOE8oqKClRWVo74O+nmxkB4eDiqq6uJHVAJAEFBQUSmqdasWYNjx45Z7Htn0WeO8vJySKVSIuo3Lkej0aCtrQ3e3t58SzEZ1dXVkMvlFjmOwViMZ3JqampQWVmJtLQ0k0TpBAyDv9y6Cua65p0or4ZGN9LECRgG0T4eJjtulI/7uOMirB0bGxssWrQICoUCFy5cGPr9bDE3wGBvnICAAFRUVPAtxWS4urpCrVYTt2rMzs4OsbGxOHnyJN9SRsWiDc6+fftwxRVX8C3D6NTX18PX15e4Ft4GdDodLl68iIiICL6lmJzRTE5VVRWqq6uxePFiSKWmaU9naLJ38zzzjPc4U90A/Rg1BIFyZ5MdN9zTPFEqPjEUH7e3t6O0tBQsy84ac2MgNDQUDQ0NRK42AsguNr766quRmZnJt4xRsegrbGZmJpHLw+vq6hAQEMC3DJNx8eJF+Pr6TmulkDVyuck5cuQIamtrsWjRIkgkEpMeVyoW4fFrlsLFzvSvc0FNE6RjTDR3tJHBQWZ8I8cw5lmGbgmIRCKkpqaiu7sbR44cAcdxs8bcAIPPPywsDOXl5XxLMRl+fn5obGwkbln82rVr8c0331jk87LY2G9HRwdqa2uxcOFCvqUYlb6+PnAcR2xxsVqtRm1tLZYtW8a3FLPCMAykUil0Oh1kMpnZonNCgQBPXLMUj39p2pUM/Rotqlo7EOo5st5G2a/G//5wL4DJneBOHD+C008/NKlt9VrWgs9SxkUgEEAsFkOr1Vr8EENTEBgYiMOHD6Ovr4/I1LZEIoGjoyPa2tqI6lzv7+8PR0dHlJWVWVzNpcWeOr7//nukp6cTl8apr68nurFfeXk5goODie7tMxrV1dWor69HRkYGKisrzTaFXCoWYVVCBL7IKcLZ6gaTHqu5pw8BcucRXYUFDIPvfjiH06dHFsqOxry5Mvz5hcwJt4uK8sGvblswHalWh6HmhmEYrFixArm5ubhw4QKioqL4lmY2BAIBIiMjUVpaivnz5/MtxyT4+fmhvr6eKIMDAFdccQX27dtHDc5k+frrr4lbPcVxHOrr65GWlsa3FJPQ39+P5uZmZGRk8C3FrNTW1qK6unooLWXKAZ2jIWQY/OWWlbjutY+hM3KvDQ9HO/zf6qVIDw+CTCKCVqOH2Gb485FIhNBpdcg7Uz2pfSbEh01q24AAOZgxO/CQw2gFxSkpKTh16hQqKipmxSBeA76+vqisrERnZydx7SWAwc7G58+fh16vN/l5wZzceuut2Lx5Mx5//HG+pQzDIsMjGo0GWVlZuPbaa/mWYlQ6Oztha2tLbPi5rKwM4eHhRH1xJ6KpqQkXL17EwoULh2puTDWgcywEAgE8HO1wZ1qS0fZ5RWwYMjffgQNb7kWkowveeusA1t/5DmSyUaaKC4UIC/My2rENBAXKIZFY7D2YURhrtZRQKERqaioUCgWRs4zGgmEYxMTEoKSkhG8pJkEoFMLd3R3Nzc18SzEq8+bNQ3Nzs9EGyhoLizQ4p06dQmxsLGxtbfmWYlTq6+vh5+fHtwyT0NPTg66uLqLTb7+kp6cHxcXFSE1NHbFaytwmRyYW49ErF8Hbafq1XTYSMf543TKcePJBvLpuNaqKm/HIbz7BfQ98iB8PFKO1tRfNzaN33g0MMH4vnPAwTwjGaDBIAhMtBTcUHl+6dMniLhymxJC+aWlp4VmJafDz80NdXR3fMoyKoavxgQMH+JYyDIs0OIcOHcLixebr1GoOWJaFQqEgtvdNaWkpoqKiiKuZGgu1Wo3c3FzMnTt3TCNubpMDMPjTjSum/Kg5/l745IG1OPnHB7EyPBSf7crGLeu24m8vf4vy8uHdV8+crYZePzIN5upqD7HYuJE7X1/yUhQGJtvnRiKRICUlBQUFBcT1UBkLQxSntLTUIlfmzBS5XI6enh5oNBq+pRiVjIwMHDx4kG8Zw7DIq9HBgwdx1VVX8S3DqLS0tMDV1ZXI4tuOjg6o1WpizdsvYVkWubm5CAsLg5vb+JELc5ociUiIBaEBWBo1cWNMgQC4f9l8HPq/+/DJg+uga1PjmWf/g9vWb8fur3PR26sa9XH5BbXQaEaOTmBZ1qiGxN5eCnt7MlO5U23i5+DggISEBOTk5Fhsx1hj4+LiAhsbGzQ1NfEtxegwDAMfH59xR3RYI6tXr8aRI0f4ljEMizM4KpUKlZWVSElJ4VuKUSE5PXXx4kWEh4fPmp4dRUVFcHJyQmBg4KS2N6fJEQsFeP6mKyEbo/uvn4sjtt5xHU4//TDuWzwP//u+COs3vIMn/vgl8s5UY6Ib5qLiOkilI026RqtHgL/x0lQB/m5Qq8mbQTXdDsWenp7w8/PD2bNniYxqjEZERMSoIyxIwLCaiiS8vb0hEonQ0GDa1ZxTweIMTk5ODuLi4ogqVNXr9Whvb4eHh+la2vNFf38/uru74eVl/CJTS6SqqgpKpRKxsbFTepy5TA7DMHCQSfHQiuHLq69Pisa3v70L/33sbviI7PCP177HTbe+iQ8+OoaW1p5J77+1tRdd3f0jfi8SChBgxDqcgAA5cdOXZzp+ISwsDCKRCGVlZaaQZ3E4OzuDYRh0dnbyLcXoODo6QqPRENe5OTU1FUePHuVbxhAWZ3AOHTqERYsW8S3DqLS1tUEulxNZn1JVVYXg4OBZEb1pa2vDpUuXMG/evGm9l+YyOTKxCBvT5mKOvzeev+kKZD+1Cc/fcAXO59XiwU0f4dePfIzDR0qh003PQBQU1IBlh0cRJBIRQkONZ+ADA1whkZBzk2OM2VIMwyAxMRGtra0WdZdsSkJCQoicNM4wDDw9PYlbTbV06VKLqsOxuCvuwYMHcfXVV/Mtw6goFAoiIxw6nQ4NDQ1Ej50woFQqkZ+fj5SUlBmNYDBnuurj+2/FIl8/fPjhMdx065t47Z/7UVU989U4Z/OroVaPrAUJCTaewQkP9yImimvMwZlCoRDz589HaWkpurq6jKTQcvH29kZnZydUqtFrwqwZb29vKBSKiTe0Iq655hoawRkLQ/0NSV0sOY5DS0sLkemp+vp6eHl5EVk4fTksyyIvLw/x8fFGGbFhDpMjEgrBcRw+/uQE9n2Tj/5+463YKCqqH7U/jZeno9GmmxuznodPTDEV3MbGBsnJycjLyyO+6FggECAwMJDIXkAuLi7o6emBTkdOrZmXl5dF1eFYlME5ffo04uPjiblzA4Du7m7Y2dkRZwI4jsOlS5cQEhLCtxSTU1FRAWdnZ6NG4cxhciQSER59+ErY2xt3EGZdfQcGBkYaJqFQCA/3mQ/HFIuFcHW1/llEpjA3BlxcXODv709sQ7zLCQwMRH19vRnaLJgXhmEgl8uJ63GUkpJiMVEcizI4JPa/ITU91dbWBltbWyKH4l1Od3c36urqplxUPBnMYXLEYiEeuN/4ozOKiutHrOZRq7VGKTT283W1+gJjU5obA+Hh4ejq6iK2IZ4BiUQCDw8Pi4kKGBMvLy/i0lTLli2zmDocizM4q1at4luGUSHV4FRXVyMoKIhvGSaFZVnk5+djzpw5EIlMMzLA1CZHKhXjqpXxiIo0bo+iM2dH1uEwDGOU1FJAgCs0Guu9WzeHuQEG0zdJSUk4d+4c8amqoKAg1NTU8C3D6Hh4eKC1tZWopf+rV6+mEZxfQmL9zcDAADiOI27khFqtRldXF5F1RZdTUVEBFxcXk0/+NbXJYRgG/7flGqOOPTh3rg4i0fBUslQqQnDwzF+rgAA5RKKpnZrUajUeeeQRhIeHIz4+Hnfccceo2xUVFWHZsmWIjo5GdHQ0vv766xnrvRxzmRsDjo6OCAgIwPnz5016HL5xcnICy7Lo6Zl8SwNrQCQSwcHBgail8JZUh2MxBicvLw8xMTFE1d8oFAp4enryLcPo1NXVwd/fn8hl7wa6u7tRX19vktTUaJjS5AiFAnh7OWHNdXONts9LVS0jRjYwDIMwIywVDw31mPKQzSeeeAIMw6C8vBxFRUV49dVXR2zT39+PNWvW4MUXX0RpaSmKi4uRnp4+Y70GzG1uDISFhaG7u5v4VFVgYCCRURwS01Tz58/H8ePH+ZZhWQZnzpw5fMswKiSmpziOQ01NDdFLw82RmhoNU5ocqVSMB+5fBldXO6Psj2U5lJaNbKPv6+s6432HBE0tCqRUKvHBBx/gL3/5y5CpGO179+9//xsLFixAWloagJ8nOxsDvswNMHtSVb6+vmhqaiKu2NjLy4u4fjhz585FXl4e3zIsx+Dk5uYiNTWVbxlGwxBOdXEha2Bge3s7bG1tiUu7XU5FRQVcXV0hl8vNfmxTmhyGYbD5kZVG219u3qURdTh2dlI4Okx/hhTDAJ6eTlN6zMWLF+Hq6oqXXnoJ8+bNQ3p6+qhFjiUlJZBKpbj22muRmJiIO++80ygrWPg0NwZmQ6pKLBbDw8ODuPlUNjY24DiOqF4/ixYtQk5ODt8yLMfg5OXlDd1ZkUBnZ+dQq3GSqKmpmfQMJmukp6cH9fX1iImJ4U2DqUyORCLCwgVhmJtknPfvXFHdiM+3Wq2F/wxWUnl4OEEonNppSafToaamBjExMcjLy8Obb76JdevWjbgr1ul0+N///od3330X+fn58PX1xUMPPTRtrYBlmBsDhlQVacuOL4fUNJVcLkd7ezvfMoxGcnIyysvLeS+etgiDo1Qq0d/fD19fX76lGA3DeAaS0Gq1aG9vJy7tdjklJSWIiYkxa2pqNExlcoRCAbY8thpi8cxr3crLFSMKl1mWG7GSSiIRwNlZAjc3KdzlUggEgNxNChdnCWSy4ToC/F1H7ZI8HgEBARAIBFi/fj2AQaMRHByMoqKiEdtlZGTA19cXDMPgjjvuwKlTp6Z0rMuxJHMDDKaqEhIScP78ed4vLKbC2dkZGo0GSqWSbylGRS6Xo62tjW8ZRkMkEsHb25v3MRv8nsV/oqCgAFFRUXzLMCrt7e1mK1A1F83NzfD09CS2uLi9vR1ardZiDJzB5JSWliInJwcpKSkzLsIXCBg4O9vitnUL8MmnJ2e0L61Wj8qLLYiK9IZGo0FXVxc6OzsRGiLErTcFws5OBKGQgVrDor9fB72eA8tykEqEWLzQA0IhAxtbIWRSIfQsh/5+HZyd7HDxYiXkclc4OztDJps43SWXy7FixQr88MMPWL16NaqqqlBVVYXo6Ohh261duxYffPABenp64OjoiO+++27adX+WZm4MuLi4wM7ODg0NDfDz8+NbjtFhGAY+Pj5oampCWFgY33KMhpubG3FDVOPi4nDmzBmEhobypsEiDI6hDT4psCyL3t5eODrOvKurJdHc3EzkSRMYvGAZojeWcrECTGNypFIx7rh9EQ4ePI/Gpq5p7cNGJkRQkD2KiwpQW1MEoVAIZ2dnODs7w8fbDzs/KYbyJ1PzS+7ZGIa939YN+51QwMDWVogH7l8CW1sZmpqaUFpaCq1WCycnJ3h4eMDLyws2Njaj6nnnnXdw77334vHHH4dAIMC7774LX19f3Hfffbj++utx/fXXIyAgAH/84x+xaNEiCAQC+Pr64l//+teUn7ulmhsD0dHROH36NHx8fIi8GfHy8kJRURFRBkcqHew2rlKpJmXqrYGkpCTk5uZi7dq1vGmwCIOTm5uLa665hm8ZRoPE+huWZdHW1obExES+pZgEhUIBsVgMNzfLm4FkCpMDAI/9/mo8tuWzSW/v5CRGWIgDQoIdYGMrRHV1H8rKe/HbzdfB3v5n4+Hs0oee3qmlmfQsh94+HcLDAxAS8nMETa/Xo6urC83NzcjOzoZAIICXlxe8vb3h5PRzMXJISAgOHz48Yr/vv//+sP/fsGEDNmzYMCVtl2Pp5gYA7O3t4ebmhpqaGgQHB/Mtx+g4OjpCpVJBo9HMaPCtpWGowyGlVGPhwoV48sknedVgEfY+Ly/PqP0o+IbE+puOjg64uLgQ1afIAMdxKC0t5bWweCKMXZMjFgsRG+OLJemR424nFDCIjHDEzTcG4Jqr/MAwDA4ebsLOTy/h2IkWZGXXwdZ2+KwrVxe7KfexMeDrO3zVoVAohJubG2JiYrB8+XLMnz8fYrEYhYWFOHr0KKqrq802rNAazI2ByMhIVFZWEjXI0QDDMPDw8CBuaTVpdTjJyckoKyvjtR6Md4OjVCqhVCqJSn20t7cTZ3BI7OljoK6uDk5OThafUjSFyfndb1bBxmbkXbBMJkTqfDk23BECfz87nDjZgn9/UYW8s+3o6Px50KZKpUVtXcewx+r1LPx8p94ewdHRBna24w8GtbOzQ2hoKJYsWYKkpCT09vbi0KFDOH/+PAYGBqZ8zMliTeYGGFx67Ovri4sXL/ItxSSQ2BzPzc2NKIMjkUjg5eXF6yR43g1OYWEhIiPHv4u0Jkisv+E4jtiuzHq9HuXl5SMKUi0VY5ochmEgk4lx791Lhn4nEjGYP88Nt60NAstx+PzLavzvUBOaW8bu0ZGbdwk63c86NFr9tIZuBvi7TWkFlaOjI+Lj45GRkQGZTIYTJ07g/Pnz0GhGTjqfCdZmbgyEh4ejpqYGarWabylGRy6Xo6Ojw+qHsl6OVCoFwzBE9cOJjY3FmTNneDs+7waHtALjrq4u4upv+vr6IJVKhwrhSKKqqgqenp5W1bjQmCZHKhXj+uuSEBrqgYQ4F9zxqxCIxQJ89kUVcvPaoVJNvO/CwjpotT9vJxYJpzV0MyDAFSw79XC2WCxGaGgoMjIyIBaLceTIEZSXlxslPWOt5gYYfF2Cg4NRUVHBtxSjIxAI4OrqSlTEAxiM4pDUDycxMRG5ubm8Hd8iDM68efP4lmE0DAXGJEFq9Ean06GqqgoRERF8S5kyxjQ5XV2duPkGP8jdpfjq6xpkZbdCrZ78nXFxcR1kMvHQ/4vFQoSFTf3zEhgon3btDjDYeyMiIgLLli2DVqvFkSNHZlSnYc3mxkBISAiamppMmr7jCxLTVC4uLujq6uJbhtFYtGgRryMbeDc4paWlmDvXeEMA+aa7u5tIg0Ni/U1dXR28vLysNjI1U5Oj1+tx/vx5nDt3DklJcyGTeUCpnHrUo6dXhebm7mG/Cw6aeg1aeKjnlLsYj4ZEIkFsbCxSU1Nx4cIF5OfnT3lGEwnmBhgs0g4KCkJ1dTXfUoyOp6cnWlpaiGpq6OzsTJTBSUxMRHl5OW/H593g1NfXIzw8nG8ZRsOQoiIFtVoNtVoNBwcHvqUYFY7jUFVVhZCQEL6lzIjpmpyOjg4cPXoUALB06VJ4esrx601XwNFx9D4zE5F3pnrYdHFPT6cRXY4nYjp1O+Ph4OCA9PR02Nvb4+jRo5OO5pBibgwEBgairq6OuCGVEokEMpkMvb29fEsxGvb29ujr6yPGtNnZ2YFhGPT39/NyfF4NTnt7O+zt7Xlvi28sdDod9Hq91UYERsPQvdjaT/K/pLW1FXZ2drCzM850bT6ZisnhOA6XLl1Cfn4+EhMTERsbO7T0XyQS4OGHVkxLQ0FhLTSan6M/AgEDT4/JF9pLJCK4uBj/vWAYBuHh4UhNTUVZWRlKS0vHvXiQZm6AQSPg6emJ+vp6vqUYHS8vL6KGbwoEAtjY2PBmCExBQEAAKisreTk2rwanoqICQUFBfEowKoYW8CRBanrq4sWLVh+9uZzJmByWZVFYWAiFQoH09HS4uroO+7tEIkLGsmjExU69ZUNRcR2k0p/rcNRq3ZQiMn5+rtDpTLcixsHBAWlpaejv70dOTs6oBcgkmhsDISEhuHTpEjGRAQNeXl7E9cMhLU0VHBzMW5qKV4NTXl5OVKdN0tJTer0enZ2dFtnddyYolUoMDAwQ16toPJOjVquRlZUFkUiEBQsWjNkBViBg8PiWa6ZcC9Pa2ouurp/vOhmGQUDA5F/fwAA3aHWmTaEIhULMnTsXrq6uOH78+LCBjSSbG2DQ4EmlUnR0dEy8sRVhb28PrVZL1NJq0gxOaGgoLly4wMuxeTU4ZWVltP7Ggmlra4Obmxtx82xqamoQGBhI3EUMGN3k9Pf348SJEwgICEBcXNy476dAIIBcbo9bbp76ysb8gpqhZd5SqWhKhcYB/m4Qi0zfJduQsoqOjkZWVha6u7uJNzcGgoKCUFNTw7cMo0NaFMfZ2Rnd3d0Tb2glxMTE8DZIlHeDY8nt8adKV1fXsPk41k5bWxvc3d35lmFUWJZFQ0MD/P39+ZZiMi43OVlZWcjKykJcXBwCAgIm9XipVIy771oCd/epFZbnF1QPNepjGAZhoZNfKh4W5gmx2HxjQLy8vJCcnIycnBycOnUKANnmBhh8zm1tbUZvhMg37u7uRPXDsbe3R29vLzHpxLi4uNkZwSkvL0dCQgKfEoyGTqeDTqcjZhIsMGjYXFym3nLfkmluboaLiwtRQ/pGYzBFFIDe3l6IxeIpp+MYhsHvfrNqSo85d65uWB8bH5/Jf3ams6x8pri4uMDBwQHt7e0IDg4m2twAGJqgTlqxMWkpHdIKjSMjI1FbW8vLsXkzOCzLorW1lZjJqSSOZ+jr64O9vT3fUoyKIT1FOgMDAzh16hSSk5Ph7u4+5T45YrEQyXODkJoSOunH1Dd0YmDg5+iAra0ETk4TLzsXCBh4TGHFlTEwpKUkEgkWL16MvLw89PT0mFUDHwQGBhKXppJIJOA4bsq9jiwZJycnYtJUIpEI9vb2vHRo5s3gNDY2wsPDg5j6jr6+PqJ6xfT398PGxoaY9wcAtFotent7iSsu/iU6nQ6nT59GTEwMPD09p90MUCQS4g+PXQ2pdPJtHM4V1Q2F1tVq7aRGNnh6OE65Z85M+GXNjYuLC+bOnYucnBwi5zZdjr29PQQCAfr6+viWYlRIMgTA4Pt0eRG8tRMUFMTLyBDerl7l5eVELREnLdpBWsE0ALS0tMDDw4PoVITh4u3t7Q0fHx8A028GyDAM7O2k2HDH4kkf/8zZaqh+qsNhWW5SS8UDAuRQq2c+N2oyjFVQ7ObmhvDwcOTm5hI1wHE0SBxxQKLBIcmE8rVUnDeDc+HCBaKWiCuVSiKaxhkgrWAaILenz+WUl5eDYZgR87Wma3KkUjHW3pIy6Z4254rqIPppNZREIkJQ4MTRssAAN7OYzolWSwUGBsLZ2Rnnzp0jpsBzNEg0OKTV4ZBmcMLDw3lZScWbwbl06RJRjdZIi+CQNlOLZVm0tbURnZ5qampCU1MTEhMTRzUMM5ldteWx1ZParqqqFexPIxuEQsGkhm4GB7tPKQ02HSa7FDwmJgb9/f1Ezm4y4OjoCJVKRdRqKtKWVpNUZAwAYWFhuHTpktmPy5vBIWmpLsdxUKlUxIxo4DgOvb29RNUUdXR0wMXFZWgsAWmo1WoUFxcjJSVl3NEn0zE5IpEQ4WGeuGJF7ITbsiyHktLGof+fTA1OWKhp04ZT6XMjEAgwb948XLx4kag76MthGAYeHh5E9Y6RSCTQ6/Wjdqi2RgQCAUQiETGF04GBgWhsbJx4QyPDa5ExKQZHpVJBJpMRU9vR398PmUxGVIExyekpjuNQWFiI8PBw2NraTrj9dEyORCLC5keuhJ3dxCY+L69qqB+Oi4vdhNGZqSwnnyrTaeInkUgQFxeH/Px8YlNVJKapaB2O5RIYGMjL5423K5hCoSBmua5SqaTpKQuG4zgoFAp4ek6+8Zw10djYCJ1ON6Xv03RMjlgsxIP3Z0y43bniuiEjodXq4e83dhTH2dkWNjam6Uk0kw7FXl5esLOzw8WLF02ijW/kcjk6OjqIKqimdTiWi6urKy9tGHgzOF1dXcR0ySWt/oa0FVR9fX2QSqXEpBAvR61Wo6SkZMy6m/GYqsmRSsW4alU8IiPGj4SVlyuGln1rtXoEBLiOuW2AvxtUKuOH4Y0xfiE+Ph7V1dXEXGQuRyAQwNXVlagOwKQZHDs7O2KWigsEAkgkEgwMDJj3uGY92k+oVCqIxWJiUiDU4Fg2JKenysrKEBISMqnU1GhM1eQwzOAwzvH61mi1elRebAEAiMWCcYduBgS4GT0NZKzZUmKxGDExMSguLjamPIuBtDQVTVFZNu7u7mhqajLrMXlxGAqFgqjVLEqlctoXGEuDxALj5uZmItNTfX19aG1tnXG7hamYHKFQAG9vZ1x/XdK4+8zJvQSNRgexWISwUI8xtwsMcBs23mGmGHtwpre3NzQaDS9dWE2Np6cnWlpa+JZhNKRSKVGFxiRFcIBZZHCampqISU8BgxEpG5uJW9JbAwMDA0QVGHMcB6VSSZRhM1BaWoqoqCijvFdTMTlSqRgP3p8BV9ex+z4VFdWB/SkyExw09nc9PNwLQqFxPmummArOMAxiYmJQUlJCXMGxRCIBwzBELRcnKYojlUqJ6qzt4eFh9pVUvBkcD4+x7+qsDbVaTUx9B2npqb6+PtjZ2RGzws1AV1cXlEqlUWe5TcXkMAyDRx++csy/ny9pgOSn6eDu44xi8Pcbuz5nKpjC3BiQy+UQi8VEpXMMkFa34uTkRMzzEQgE4DiOGGM9qwwOKSkDwweQlIhHf38/cR2ZSTJsBsrKyhAdHW104zZZkyORiLBoYTiSkkZfuaVSaVFb2zG4TwBeXiO7YstkYri4zPyzZkpzYyA6OhplZWXEXGwMkBTxAAbrVkhqkEdSFMfX13d2GJz6+vqhOTnWjkajgURimmWufGDo6UMKJBqc3t5eDAwMmCwKOlmTIxQK8H+PrYZYPLJ5orvcAWA4aDQ6aDQ6BI5SaOzv5wqtdvLdlEfDHOYGGDQCMpmMqFVHAHkRHJlMBpVKxbcMoyGTyYgxOH5+frPD4DQ0NMDPz4+PQxsd0gwBac+nu7ubuJlaVVVVCAkJMWnabTImRyBg4Oxsi9vWpg79bsmSKHzw7j3Y9fGDsBMKoNfoIBAwCPAfmYry93ebkcExl7kxEBISwku7eVNCWgSHpIgHMPh8SDFs/v7+qK+vN+sxTTsAZgwUCoVRawf4RK1WE2UISHo+hgJjkpbw63Q6KBQKxMTEmPxYBpNTWlqKnJwcpKSkjBh1IZWKccf6xfD2dsbC+SGwtZfh0L+P4+Wt36O5phX/afkQYICQkJHRpsAAN4jF07vHMre5AQZrCIqKijAwMEDMogKxWDxUaExCJJrECA4pz8ff39/s40F4MThdXV1wc5vcdGJLZ2BggJgCYwBEzdQiscC4oaEBXl5e486bMiaTMTkMA1y5IhbvbtmJAx8fRV/Xz0tbm2ta4RXsgagob0RHDaalxSIhoqN8EB/vD7FYBI7joFbrIJWKJvVe8WFugMHXIiAgALW1tYiMjDTLMc2BIYpDwspWkUgEvV4PjuOI+N6TZHDkcrnZuxnzkqJSKpXE1EWQFPEABiMEYrGYbxlGgbSRE8Bg/Zq5Z7hNlK4SiYTQ61i01rUPMzcAcOZ/56DX6eHj5YxtW+/EW29sgLOzLd56YwPmxA8+j3NFdfjnmz+gqroVOp0eOp1+aIn5L+HL3BjgI8xuakirwxGJRMT0wiHJ4Bj6FJkTXgxOb28vXFxMN2DPnJBUs6LT6Yiatt3V1UVU/Y1Wq0V/fz8vpm0ikyOWivDbdx6Ajf3w70Lh4WJoVFoIRULc6nUfVorWoq2+HVdJbwOrZ6FWa3HqVCV+PFCM+x74EI/85hMcPVYGwSjGhW9zAwA2NjYQiUREdZglzeCQZgpIqiky9ypEXgyOVqslxhSQ1AOHJLMGAD09PUQZnJaWFnh4ePAWeh/P5DAMA5mdFHf9ed2wxxQdL4XUVgpVvxoB0T/X3XkHewACBgzDoLCobuj35eUKXLigGJpGbsASzI0B0kYcODo68jII0VSQZApIWkUFDEbXzNlYkheDQ1IvCZ1OZ7Z6CFNDWrqNpGJQwDJmao1ncqQ2Uqx5+CoExwcM/a6toQNdLV2D9StRPxsc/yhfaAbUYBigouLnwkO53AH33bsUUunPaVJLMjcAeQZHLBYTk9IByIrgkJRuAwbHT5gz+ml2g6PT6YhpigeQZXBIKjAGyHpvWJZFe3u7RcxwmyiSs+Wjh4eZkILD5yGSiBAY83PtUEC0LwRCAcormqHXs0O//+3mlcOOZWnmBhiMeAwMDBAz4oBhGAiFQmIupNTgWC62trbo7e012/HM7jQMK1tIgaSLKEkpKr1eD4FAYBEXRGPQ29sLe3t7i6mRGsvkCEVCBET7YdXdGUPb5h8sgmZAg7Ckn4eCBscFQigWISf3574y8+cFY/68kKHhm5ZoboDB5y6Xy9HR0cG3FKNBUiqEJIMjEAjAsuzEG1oJxBuc3t5eanAsFJIMDknPBbDMjsxjmRypjQQPvb4Rjm6DA06LjpdCYiOBf+TP3ctDEwOhU2ux9sZ5eOrJ6+Dp6Yg/PLYaItHgKclSzY0BEhvkkWIKSKrBIQ3iU1R9fX2wtbU192FNBsuyxKTcSDIFJD0XwDINDjB+JGfTa3cBABoqmjDQOwAnd0fI7AbfE58wL4hlErz7h48R6umITz56AE6ONmAYxuLNDUBXHlkyJD0XYPA7RkoUx87OjkZwrA1LPAFPB5JqcEha3QZY9pL30UyO1EaCjHWLEbtosCFe0fFS6LQ6+Ef6QCAUQGojRU1xLb5//yCeu+kVAAwkEpFVmBuAvAgOSaaApOcCkFWHQ7zBISmCQ0q3TAMkraIiKYLDsixUKpXFfW90ej0GVIOFtqOZHIFQgC07HoZQJMSZA4VQD2gQEO0LoUgIdb8aeT8WAgAee/8hAJzVmBsAEAqFEIvFxFxISTIFIpEIWq124g2tBEN3ZhKwtbUlO0VFUgSHtMZ4JHUxJsngqNVq2NjYWNwFn2M5VFe3YUClgVarH2FyOHCQ+7jixs2rUXy8DFKZBAHRfhCKhWBZDoVHS7Bs3SJEzg+DUCS0GnNjwM7ODv39/XzLMAok1a0wDGMVn5/JQpJhs7e3JzuCQ1IahKQCY4Cs/kQkGZyBgQGLey6G2rNX//E9XvnHdxAKGeg0OnAcN8zkiKQi3P3ibejt7INep0f8kmiIxCLIbKWoLq7F5m33QywVDTM3AKCzgpoDkqIeJD0XA6Scz0hKUdnY2Jj1psDsBkev1xMT9dDr9UQZHICceiJSpiMDlllPxDAMKiqbUVXdittuScGJr0/j/678M5qrW6EZ0AwzOSzL4tG37kPp6QoExfhBLBWh8aIC6/7vBohl4mHmRqvVg2U5sDpqcMwJSREcAEPF6iQgFAqJSVEJBAKzvi8TGpznn38e991339D/nzhxAgzD4MiRI0O/27RpE5555plJHZCkVUek1eCQBEmfM0uMRqlUWlRVtSIywhvBQe74+p//RdHxUtwT/Vt8+sJuaDU6hIWGwcnJCfmF+UhcHguBUACxVAyBUIDuth5cfd9ylJSdBwDEx8VDr9NDr9Hh+PELEArNeyKcDiQZHHNfeEwNSc+HJLM23b4+QUFBiIyMRGJi4tBPUVHRxMebaIOMjIxhZubw4cNITU0d8bvly5dPSijLssSYAlI+dCTCcRw1OCZEKhVh2dIovPXmBoilYqx7/AaseeQqBET74stX9uHuyM0oPFKC0JCfTU7s4kgIhIPvSfSCCJwrOgcAiImKxcWCamxK2oJdL+5GYoI/2tv7YOlfL5IMDklLkQGyng8p10tg0OBMNxr1xRdfoKCgYOgnPj5+wsdMmF9ZsGABGhsbUV9fDz8/Pxw5cgR/+tOf8PLLLwMAmpqaUFtbi4ULF05KJEl31gBZHz6SIMlIW1rxt1KtgYAFOG7w86/T6ZG8KhFzlsVCIhVDp9Oj9FQ5zvxYiMr8Kqy+bwX0Oj1OnTqFBQsWgGEYnMk7AwCIjorG9+8fRHNNKx7Zeh+iUsMgEguh17FQqzUQiUQQiSyzIzVJq1tIingAZEU9SHou5u7MPKHBkUgkWLRoEQ4fPoy1a9eiqqoKq1evxubNm6FSqXD48GEsXLhw0neYJNXg0BSV5ULSe2OJz4XjgDe2/ogjR0vh5+uKBx/IQHiAK87+rxDhyaFIWBKD6NRwCASDaak4tziUlJTgVPYpqFQqCAQCJCYlQqvSYtXdGZDaDNZLtda1o/p8HVy9nGHv44rnX8jE4/93LUKC3Xl+xiMhLUpAynMByDNspDwXoVA47Rlu69atGzY8OTs7e8Jhygw3iVfuL3/5Cy5duoS77roL27dvx+eff4477rgD9957Lz777DP4+/tPugbn/fffx+HDh3HnnXdOantLhmVZ6HQ6YopZLTEVMl3UajUkEonFGYPpoNVqIRAILObGwHDK6OtTQ6UeXL7qYC+DSMCgq2Ww+R0jFEAiE0Mqk0AsEw9dQA0nN7FYPPR8tGot1P0aaFRasD9FROyc7CC2EaOzqx8uzrYQiSzjuV+OXq+HVqsl5jtD0vdfpVJBIpEQkS1QqVRDfZesnS1btqCmpmbKTTKDgoKQmZmJxMTEKT1uUkuAMjIy8MEHHyAgIADLli0DACxduhSHDx/G4cOHsWPHjkkfUCAQwNnZGatWrZqSUEuku7sbpaWlWLBgAd9SjMIPP/xAxPsCAMeOHcO8efMsrjnedDh37hzkcjl8fHwm3tgMKNUaMHrgre0HUFjYiIAAOW7/VSKCfV2gqGmBb6gXbBxsoFKqwXEchGIhxBIRzp45Cw4cFAoFnJ2dkZqaCp1GD4lUjAGlChKZBCzLQlHVAqFQALGTHd586wAeuD8VAf5ufD/tEXR2dqK8vBypqal8S5kxHMfhwIEDWLly5cQbWwFHjhzBwoULLW714XQoKCiAt7c3PD09+ZYyY86cOWPWJe+TMjjz589HS0sLdu3ahX379gEYNDjXXnstmpqakJKSMukDkjQdlaTcKGmQFKK2tM8ZwwACAYMtj60Gx3HQ6VhwP9U8hSYEob2pE8f+cwr5B4sQGOuPGx69GufODXYtTp6XjB/2/wBHB0ecPn0acxPnYu+2/SjJvoCYhRFIXpkIvwhvaAa0YAQM/vT0GggElhmFI6mQ3RLToDOBpFpPS/ruzxS9Xm/W92VSBkcsFiMtLQ2FhYWIiooCAERERKC3txdpaWlTCp2RZHAAsj58JGFppmAmiMVii+pkaiuRQKPWQjOggVgqRlNFE/J+LETh0fM4f/ICetp7EZEcgi07HoFXsAdKys5DIBBgzpw50KgGjUt0dDRKy0qRX5iPlRuXYuH18/CPe7dj228+gq2jLWIWRiBhSQzmXTUHIfGBUA9owDCARGY56WCtVktMHyySivIB8gwbKc+FZdlpp9p+WYPz+uuvIyMjY9zHTPrbuX///hG/a2pqmoK8QUi7s6ZYJiQVTcpkMt6bsKkH1GAYBgKBABcLq5G7vwBFx0tRkl0OlfLnpdJ2Trb47TsPYNXdGWAYBoU/RW7i4+ORf7AI8enRYFkWNSX1iIyMRMXFChQWF2LevHn4y3dPIXtfLt569EPk/VCAvB8K8OFT/4ZYKkZUShjil0Rj/qpERMwLA8MAej0LqQ1/dVYk1ayQFI0CyDI4pFwvgelH1qqrq6d1PLPffgiFQmIuPCRdREmDpEihTCYz6+RqjuMGa2IkYuh1epTlVCL3hwIUHy9Fed5FaDWj59CX356GR7beC4lMMmy2VGx0LI58fhK+4d4YUKqg1+oh93PFF6/sxS2/vxaXqi8hLy8PKSkpWHBtMlJWz8X7j3+Kb97+ESzLQqvWouh4KYqOl+Lff/kaAqEAYYlBiEuPxor1SxAY7QuhVAytRgfZTwXN5oAkg0NSSgcgKyJFklkz9+fM7AZnJo1+LA2SWmgbIOXLRFLrealUatKGchzHQaXSQiIRYWBAg6LiOoSHeiL3+wK89Kt/TmgU/SN98Nj7DyE8OQQSmWTEVPCBXhXee3wXdlVvR/HJMui0etg52uK7f/0PqzZmIDIyEhcuXEBOTg5SUlIgEQpx/8sbcO2mlXhl41soP3Np2PFYPYvyM5dQfuYSYhZGAA42+Ovfv0V8vD+S5wYhcU4A7Oyk0HEsZCZceaJSqeDo6Giy/ZsTSxwHMhNIOY8BZM081Ov1Zn1fzP6q2djYENP9k6QhaMDPdSsknBhI6jJr7Oei0+mh1eohlYrR1aVEQWEtzuZX49y5OtQ3dAIArr46AZs3rYDERjIsBXU5UhsJ1j9zC279/XUAA4jEohHmRqPSYvvvPoJnoBwAUHS8FHaRIqiUakTOD8Vr972NP+99fLAmp7R0yORIbSTwj/LBG1l/wQ8fHcZ7j38KZffwIX3O7o5YfEMqnvrTbtTUtqOmth3f/rcAyzNi8IffXw2xxLRLy0kaHEzSczFAwnkMIGvmoUqlgp2dndmOZ/aYpIODA5RKpbkPaxJIMzhisZiY50OiwTFGLl6l1UKr06O4uB63rd+OW9a9hRdf2ofvvj83ZG4A4Pvvz0Gj1WP57Wmj7idl9Vx8XPkWbtq8GiKJaFRzw+pZ1JTU4ccdRxCXHg2tWofa0gbodHqIxEIkLI1F3o+FyN1fAK1GN2xAp6EhqEgswhUbluLTqu1YsT59mIZV9yxHT3c/cvOqhv1+7a0pkEpFEJo4FN7X1wd7e3uTHsNckJRu4ziOqLoVkiI4fX19cHBwMNvxqMGZAaTcIRgwdSrEnJD0XBiGga2trVG+NyKBEFqORWysL7p/ERH5JVmnK3HrY9cN+527nxte/OYJPPefP8DVyxlS28G7/l+aG0M08JW7t4PjOMxbmQiprQR1ZQ3Qa/WQ2kox/6pEAMCbD78Pjh2MHP7S5ACDkSJ7Zzv8/r1NeOPEi/CP9IFAIMBNv7kGPxw8P0xfSIgHQoI9oNWbtv5Kq9WC4zja5NMC0Wq1xLwvADU4M8HsBsfe3h79/eOfWK0NUu4WSIt6kFKDAwDOzs7o6uqa8X5EQgHspIMrj5YtjRp323f+dRiege6IWRgBoUiIWx+7HjvK38TcKxIglv5czDuauVEPqJH51n5UF9eCYRjELIyAQCBAfXkTOJZFf08/fMK8YOtgg/bGDnzwx11DK7VGMznA4BLxiPmh+FfhP/DMV7+HraMNPtpxbJjmm25IBsexkJi483F3dzecnJxMegxzQpLBIem5AIMGx1K6mM+U/v5+s0Y9aQRnhpC0Kow0g0PKcwGMZ3AAQKvTQ89wuPWW8Rt0dncPoKqmDff97Q58UPI67np+LSQyCcTSnwt3x4rcDPSp8fGfvgAABMb4QSwVo7OlGxrV4KiGxovN0Gn1iFkUCQDY+9Z+tNS2gdWz45ockVgEkUSE5CvnQM8ByXODh/5mZyvFFStiIRab/m6XGhzLhbR6IpKW8CuVShrBsSZIqsMhyRSQtIoKAJycnIxmcKTiwfqUoEA5wsPGbv/u6GiDnl4VwucGwzvYcygdZWA0cwMAWrUOb2x6d6g4OX5JNLQaLWrLGoYeW5lfBYGQQXx6NIDBlVGv3L196GZhPJMDADb2MtjaSvDn527ESy/eAnd3B1x5ZSxYljPLDUdXVxecnZ1NfhxzoVariTE4JD0XUrIDBvr7+6nBsSZIMzikmAJDZI2UE4SDgwP6+/uN0tGYYRgwDAOVVocbb0ge5e/A6qsT8O9PHkJCvD9kdjIIhMNPFWOaG40OxSfLcGJPztC2c1ckQCITo/Lsz8u9q4prodPoh+pwAKD0VDkOfnoc6gHNkM7xTA7DMBCLRUieG4xPdjyIjXemQyYTm/xul+M4tLe3w8XFxaTHMSckRT1IikaR1p9IqVSSnaIiKaUDkGVwSCrMBSxvxMFMYBgG7u7uaG1tNcr+JEIBWHBYsTwGdnY/X9hCgt3x9raNePThlbC1lUAiGZnuGcvc/PRHvP7AO8O2T1gaA51Gh9rS+qHf1ZU1gGM5hMQHDkt5vfuHndBpf/4+TWRyAEAsFkIiEUEmE0Njhu9iZ2cnHBwciJjuDAy+nyzLElPnQZLBIanAGJgFKSqArA7AIpGImIsoSSkqYLDnEknRQi8vLygUCqPsSyAQwFYqgUarx6qV8bCxkeDhh1bgne0bERriAal09JPqeOZG3a/Grhd3Q1HV8rPmYA/YO9sBYFBb+nOKqra0AVJbCfR6PSLnhw79vrezD9t/8xE0P0VxgMmZHACQSESQmOFioFAo4OXlZfLjmAuNRkOMWQPISlGRZnCILzIGBiMFAwMDfBza6JBU60FSigoAHB0dzTriwNS4u7ujra3NaGk3PcuCFQDrf7UQ//5kE669JhEikRBC4einhfHMDcuy6GrtwZev7Bv2mIQlMVAPaCC1kQyrwWmpbYNepx/a5nJ+/PgILhXVTjmSYy6am5uJMjgkFkyTkm4jyawBg00LzWmmeTE49vb2RiuY5BuSoh6G0ROk1K04OzsTZXBEIhEcHR3R3t5ulP1JhEI4yKSQ2Yjh6GgDqXTsE8+4aSkAeh2LV+/ZPmJOVeLyOEhtJVB296O3o2/Y/ppr2iCRSTBvVeKI4716z7YRv7MEk6NUKsEwzLCpxtYOaQXTJKWoSDJrgPl7x/FicBwcHIgxOKTVrZBUU2TMpdWWgr+/P2pra42yL8OSbhvZ+BO5JzI3GpUGWXtzUHC4eMRjk5bHQyAQoPHiyNRadfHg84icHzqiiLmmpB573vgO6oHhEUW+TU5tbS38/f3NekxT09XVRVQEh7TRBiSZNXOnQnkxOE5OTka7C+Ub0tI6JEWkbG1tMTAwQEy9FwB4e3ujra3NaHVfE91RTWRuAIBlOWzb/NGI37t6OcPNxwUcx6Eyv2rE3y8WVEOj1oIRMAidEzTi7zuf+xL9PQMjIop8mRyWZVFfXw8/Pz+zHM9ckJSi0mq1xJgbgCyD09raavbhtLwYHB8fH9TV1fFxaKNDkiEAyHo+DMPA3t4efX19E29sJQgEAvj6+hotijMekzE36gEN3vu/T9DZ3DXib3Hp0VAp1VD3a1B9fuT3vbasATqNDnoti/gl0SP+rupX4/UH3x2R9gL4MTkKhQKurq5EpQw0Gg0EAgExRcak1ayQZHBqamrMXrvGm8FpaGiYeEMrgCRDAJD3fEhMUwUHB6OqqsqktVKTMTd6vR6NFxX49p0Do+5jztJYSGRicBw3bAWVgdrSBkikYkhtJUi+MmHUfWTvy0PRsRJoNSMjVuY2ORcvXkRISIhJj2FuSKy/IcmAkmTY6urq4OPjY9Zj8mJwfH190djYyMehjQ5JvVYAanCsAVtbWzg7O5vsJmEy5gYAOJbDq3dvGzMFmHxlAoQi4dCQzV/SUNEEgUgAhmEQu3jsuVivP/AuMIaXM5fJMaTUSWruB5BXf0NSxAMgy7Dxkd7lLYLT0tIy8YZWAMMwEAgEvC5bNSZ2dnZEpXRIW0llIDIyEhcuXDB6fdFkzY16QIP9Hx5C+ZlLo/7dzskWPqGD4Wi9Vo+W2rYR22jVWnQqugAAUhspAqJ8R91Xc00rPvnzVyMKjg2Y2uRwHIeSkhJER49Mo1k73d3dREVw+vr6YGdnx7cMo6HRaIiZjN7U1ARf39G/46aCF4Pj7e1NjMEByOqFQ1rEw9bWFv39/cQsfTfg4OAANzc31NTUGG2fkzU3wODKqfef2DXm32MXRw0Zkuaa1jFff0NvHK1aO2odjoGvXv0GHYquMQ2dKU1Oc3MzRCIR5HK50fZpKZBUYAyQlXJjWXZorAoJNDc3w9vb26zH5M3gGKvlvCVAUlpHJpNBq9USE5FiGIaotgSXExkZicrKSqMs65+qudn6yAdQdo/dJXrO0hgIf5rqXVU0dkF05dkq6HV6yOykSFoRP+Z2Oq0Or96zHaxu7IiVKUwOx3EoLS1FTEzMxBtbGSqViqgCYwDo6ekx+0odU0Fauq2lpWV2GBxPT09ilokD5KV1HB0d0dPTw7cMo+Hp6Ynm5ma+ZRgdGxsb+Pj4oLKyckb7mYq50Wl1KM+7hMOfnRh3n/NWJUIsEUGj0uBiYfWY29WU1kOj0oJhGMxZFjfuPs8dLcHxr09Do9KMuY2xTU5tbS0cHR2JinIYUCgU8PQce5q8taFSqSCRSIiZqaVUKolKt7W1tc2OImOJZHAGDSn9Sezt7aFUKvmWYTRIS1MZc4aTpREREYH6+vppG9KpmJvBBwD/uO/tcTeR2kgQGDvYDE+n1Y9aYGygrqxhqMmfo6s9PALGTwNt/82HYPXjnzeMZXIGBgZQXl5OZPQGIG+mFmkF0319fWad22RqWltbZ8cycQBwdXVFU1MTX4c3KqT1WnFyciKqMNfOzg4cxxEz/+xyxGIxEhISkJ+fP+UbhqmaG/WAGl++ug/15eOvgIxKDYfup941Eql41CXiBurKGiG1kfy0fw3i08cv5O1q7cG7f9gJ9cDYURxg5iaH4zgUFhYiMjKSqLEMBnQ6HXp6euDq6sq3FKNBUv0NQJbBYVkWOp3O7CvCeDM43t7eZmlWZg5IMzikRXCAwTQVqVEcDw8PODk5TSlVNVVzw3Ec+jqV2PXifybcd/ySaBh2JxAJ0FAx9o1Mb2cf+roHo59SGwkSl4+fpgKA7947iIbKpglNy0xMjqERKWljGQy0trZCLpcTU8AKkFcwTVKKqqWlhZcWC7waHFK6GUskEmg0GmJW6shkMmg0GmIKjQGy01QAEBsbi9ra2klF3qaclgKg0+jw2v3vjFv/YmD+qkRIZINRmQ5F16idiC+noWLwfREIBZg7TqGxAZZl8crGbeDYib9v0zE5AwMDuHDhAubMmUOUAbgc0iaiA+QZHJIiOHx0MQZ4NDi+vr7EGByGYYhaScUwDHGFxi4uLujt7SWqKePliMViJCUlIS8vDxrN2CZkOuZGo9bizIFzyPk+f8JthSIhwuf+3O23bpz0lIGLBVVD6TV3fzmc3SdeBVOZX4Xv3js4Zm+cy5mKydHr9cjJyUFsbCyRqSlg8DPQ0tICd3d3vqUYDcMgR1IKjFmWBcuyxMzVqq2tNXsPHIBHgxMWFoZLl0ZvEmaNkJamIq0Oh2EYuLu7E9We4Je4ubkhNDQUubm5o9bjTMfc/PRAvPnr9ya1afjc4KF/63V6VJyd+DteXVwHzcCg8VQp1YhLG7ur8eV88Md/QzOgnVTkdDImx/D6eHp6mn21hznp7OyEg4MDUcvDSau/ISk9BQAVFRUIDQ01+3F5MzgRERGoqho5YdhaIc3gkFiHQ3qaCgCCgoLg4OCA4uLiYb+frrlRD6jx0dOfo7V+cm0d4tKjh1Y5aVSaoUZ+41FX1gDup1kMEpkYc5bFTupY/T39ePPh96BVTy4qN5HJqaioAMuyiIyMnNT+rBWanrJ8SDQ4fHyveDU41dXVfB3e6NjZ2dGl4haOu7s72traiGlPMBZxcXHo7e0duoGYrrlhWRZiiRjptyxA2k2pQ8u5x2PeykRIbQdXSgiEwnFXUBmoKW2AzGbwMUKREMlXzpmUPgA48kUWLuReHFq1NRFjmZympiY0NjZi7ty5xNbdGCBteThAXgSHpPobAKiqqkJERITZj8ubwTE0+yPlYmNvb4/e3v9v77zjoyzsP/6+nb33DglJWAmQwV5C3YJbC4qItVZrtY5Sq9ZVB1Xce+H+Wbe2KmrZexMIkL0ue+/k9v3+oIkBAiTh7p67J8/79eIFJHfP88nl7rnPfWeH0DJshpubG3q9XlSFxkqlEn9/f1GtCRkIuVxOZmYm5eXlaLXa4aWlAIvFyspnfqBdJmfFB7fzRe07XP/wVQSGD9wNIZPJGDvt14uYxn3gJZsn0ljZdFwhcmRSOB7eg69/OdNcnoF09jc5NTU1HD16lClTpoim5uFUtLW1oVQqRVdfJLYIjtgMTnl5OaNHj3b4eQUzODKZjPDwcNGkqby9veno6BBNJ1VvobGYTBtAbGysTfc3OStqtZqpU6dy+PBhurq6hmxu9HoT6zfksnbdEe5/8EsWXfkSX/+QzYW3nscn5a/z2Ld/PSmVFDsuGpXm17qOztYuOlvPHNW0Wq3Ulf9qOg09RsZOH3w4u6qwhn89/S367sHvg+s1OUqlkn379pGZmSm6N/2BKCsrIzY2VmgZNkVsBcYgrqGFer0evV4vyM8jmMGBY2mqE2sFXBWFQoFarRZNJxUcS1O1tLQILcOmBAcH09HRIcqhf/3p3YAdHByMyWQa8swps9nCa2+s6/u/yWThw4+2cfWS17lnxaf4Jobx5I/381Hxqyy6/Xw8fDyYMCsFo+HXepjTzb85kZJDv+pTqOSkzh7a9OBPn/yGjubOIX3AqKuro62tjaioKI4cOSKqaOVAmEwm6urqRFdALSYzAMc6+QwGg2j2UOXm5gpmqgU1OCkpKRw5ckRICTZFbHUrwcHBokvnyGQyYmJiRDNkciD619xkZGQwY8YMysrKyM/PH5QB0OtNvPr6WtrbBzaBh3Iquf3Oj7n8mlfYc6SKpY9ey5d177D4gStw+1/9jcVioehA2aA1lxwq65uxo1KryDhv8HU4cKyg+dmb38BkHFwtTllZGUeOHGH69OmkpaXZZQu5s1FdXU1oaKjo0nBia3nv6OjAx8dHNLVghw8fJiVlcJ2RtkZwg3O2iwKdCbEZnICAAFpbW0V30Y+JiaGiokI06cT+DFRQrFarmTFjBu3t7ezdu/e028fNZgvl2kZ++vnQGc/V3W3g+Rd/5tKrX+afz67BL/jXi7Khx0jZkcGbSG1uFeZ+m8JHpcYel+4aDHt/zmbvT9kYTtNVZbFYOHToEFVVVcyaNQsPDw+7bCF3RsSYnuqd6SOmpaFii0jl5uaOTIMjtlZxsc2OkcvlBAUF0djYKLQUm+Lm5oavr6/oWsZP1y2lVCrJyMjAx8eHrVu30t3dfcpjPP3MDwzV++XmVh3XZWW1WgdVYNxLRV7VcYbGZDSTkpU4NBHAi7e9c8oJxwaDgR07dgAwbdo01Gp13/fEbnJaWlqQyWSi6jQCaG9vx83N7bjfpasjto6w4uJiwUYvCGpwRo8eLaqCz97pv2KKDIh1dkxCQoKoBk0OphVcJpORnJxMcnIy27ZtO2nZrV5v5Nvv9lNSOvRhiKmpMej1v0aG3Dw0g2oR76W6qBa5/HjNZ1q8ORBN1c2sfuD/Tppw3NjYyObNm4mMjCQ1NRW5/ORLn5hNTklJCaNGjTrzDV0MqeXd+SkrKxOkRRwENji+vr7odLrTjpZ3JcRYaBwSEkJ9fb2oTBscW91gMplEEXEb6pyb8PBwpk+fTnFxMfv27evbo9bTY2T1+5uHpWHSxFg0/SIwRoNp0MMBe2/fXPtrQbvGXU3GeROHpeXbl9dQr23EYj62wfjQoUMcPnyYzMxM4uLiTntfMZocnU5Hc3Mz4eHhQkuxOWIzOBaLBb1eL5oCYzi2pkGIKcYgsMGBY227ubm5QsuwGWKrw1GpVHh4eIjCCPRHJpMxatQol4/iDHeIn6enJzNmzMDPz49NmzZRWVnF8y/+hE43vF1dkyfFHheBqS0benF6+dHK4/6fnJkwqOGCJ2IxW3jmxtdoaGxg06ZNqNVqZs+ePei6BrGZnNLSUmJjYweMWrkyOp0Os9ksqnkx7e3toiowbmtrQ6VSodFoBDm/4M/4cePGsX//fqFl2Ayx1eGAeNNUkZGRNDU1nbIexdkZ9m6p/yGTyUhISCAza8qxN8EYK0FBQ78QBQR4EhDw65uM1WqlNGfoXWpFB0oxGX81EzKZjMSJcUM+jm+YF9HTQ9i1dTep49NISUkZ8pu7WEyO0WiksrLyjJErV6S2tlZUxcUgvvTUvn37BCswBicwOBkZGezdu1doGTbD399fdLNjxGpw5HI5o0ePJi8vT2gpQ+ZszU1/3DzcmT59Ouf+Ziq/u3ECN904jtBQj0Hff8L4aPT9OpeMeiMlB8uGrEObW4VR92u62my2MH4IdTge/u7MuSWLix88h7K9lbx/y9d4uA/+5zgRMZicwsJCoqOjRVWE24sYd2qJzeDs3LmTzMxMwc4vuMFJT08nJydHaBk2o7fQWCwrKOBYOsNisYhyOF50dDStra20t7cLLWXQ2NLcALipVCiVCiIiIvjNb+Yzdcp4lt8wlj//KZMJ48/8CXliWgxq9a+zVcxGM9rcytPcY2C0uZUoVL9Oo9W4q8k498zzcLyDPZlxw2SuePJcmrWtfPrn7ynYXEZHcyev3fkehp7h1/i5ssnR6XRUVVUJVv9gT3rr5wICAoSWYlMaGxsJDAwUWobNyM7OJiMjQ7DzC25wJkyYQFFRkWgMgVwux9fXV1R1OCDuKE5KSorL1IHZ2tz0Ry6X/S9tFc+cuXMYP34Uly6M428rprBo4RjU6oEvFxkZ8Sj61cqo3NRo86qHfH5tXjVqt+Nbt8fNGDi8LZPLiJkUzgV/nc0lD51DR0MX/7rrB3LWFGDpN0/nvx9uovSwdtADAAc8l4uanPz8fBISElCphjZPyBVoaGggKChINLUqAD09PX2NKmLh6NGjpKenC3Z+wUdaurm5ERgYSElJCYmJQ5974YwEBQXR1NQkqk8XYWFh5OfnEx8fL7QUmxMeHk5RURFNTU1O/enJnubmRNQqFaNGxRMTG0NrSwt+fmWkJLnT3m5l244Kjhxpwmyx4uWlISLc77j7yuUyqouGboa727vpaO7Eu189j8ZNTcyYKLS5lcjkMsLHBBOfGUV8ZhRN2laO/LcI7YFqOEWTn9VqZdXy13h9/9ND1tOfXpOTm5vL7t27ycrKcurdR52dnTQ0NDBhwgShpdgFMaanGhsbCQoKElqGzejt3ouKihJMg+AGB47V4WzdulU0BicwMJC8vDxBtqfaC39/fzo6OjCZTKIb9S6TyRg7dixHjx5l5syZTvmp0JHmpj9KhYKgoCACAwMxmUxUVlYTFxdIbW0d9Q162tutNDW1Ehjo16epqaZl2BGTqqIaUrKOvW6sViutrW1MvXoiyW2xRIwNob64ibK9Vez/5gg9bYNbrll2pIJvX1rDJbedi8Z9+N0crmRy8vLySE5OFl3nFPw6vXjcuHFnvrEL0dTUJKqi6V27djFu3DhBr6dO8U6VmZnJ3r17WbZsmdBSbIKvr29fHY5YLjAymaxvN5XYlvXBsaibUql0yk+GQpmb/shkMlQqFfHxsUTHRIPVQkNDIw0N9Rw9epienm48PT3x8/OjWdtGxLgQult66Gruwag7vdlRqhV4BLjj6e9OwdFCzJ4G2tra6OjowN3dnegJ4ex6cj/rX92B2Ti8VPYHj3zOgutno3ZTn9Xj5womp7W1lc7OTkFTA/akpaUFb29v0aXeGhsbGTt2aEtmnZnt27cLWmAMTmJwMjIy+Pzzz4WWYTP61+GILU1VU1MjSoMDMHbsWPbv309oaKjTRHGcwdyciFIhB+SEhoYQHn7MDFqtVjo7O2lqaiKvtojx547GM8ADD393VG5KTHoTZpMFi9mCu58bv33hIhQqBUqNEpPBTFdzN90tPbR3tOOmdiNqXBTe3t7I5XLaGtt59sq3z0qzrkvH87e8yQP/ugv1EHdcnYizm5yjR48yZswYp3iu2ANn/BBytvT09KBUKkVVf5Odnc21114rqAanMDipqakUFBQILcOm9O5wEpPBCQ4OJicnB7PZ7FQXdFvh6+uLj48PFRUVxMTECC3HKc1Nf/pHJ2UyGd7e3ihRUrK5kv9+uO242yrVCuRKOXKFnGufv5Cv7v/l2KRh/fEFu5PmT+DK5Zfi5vnrJFdvfy9CY4OpKx/6Con+bP9uDzmbj5I6ZywqtThNTkNDAxaLhZCQEKGl2AWr1Up1dTXTp08XWopNEVv3FMCRI0cEjyI6Rf7Ezc2NgIAAUS3eDAwMpKlp8KPqXQGlUkloaCjV1UPvkHEVxowZQ35+Pnr94Oo77IWzm5tToVApBlyyaTKYMXQb0XXowQqGbuNJ5gaOLd3UeBxfJ6Pv0Q9rL9VAPP/7N09ZkDxUnK27ymw2k5OTI3jdgz1pbGzE09MTd3d3oaXYFLEWGEdHRwuqwykMDvxaaCwW+tfhiInY2FhRLUg9EQ8PDxISEgSdzeSq5gZAPcwW8V4aq5ox6o9fF6Fx15A2zzYFpXXlDXz02Bfou21jYJ3J5OTm5hIaGoq/v79gGuxNeXk5sbGxQsuwOc7ewTlUdu/ezdixYwW/djmNwcnMzGTPnj1Cy7AZcrn8WMFlc7PQUmyKn58fJpOJjo4OoaXYjfj4ePR6vSCRKlc2NwAdzZ10t5/d6ova0uP3WMkVciYvSD2rY/bni1X/oaW+zWYfPpzB5DQ3N9PQ0CDoWHx7o9fraWlpEVWnERxr6VepVKKqvxF6gnEvTmVwsrOzhZZhU8Q6HE/sURyZTMbEiRM5cuSIQ1NVrm5uACoLz94UFh8sP2l7fXBUIH7BPmd9bACT0cSq5a8dNxDwbBHS5JjNZrKzs5k4caJT1AHZi8rKSiIjI0XTmdqLGIum9+3bR1ZWltAynMfgTJo0iYKCAkym4U8cdTZ6Dc6JF2tXJyoqiurqasFrDuyJp6enQ1NVYjA3FouFov1nX0dXcqjspDSVrks/pL1UZ+LgxiNs/WY3Bt3w1ziciFAmJzc3l7CwMFGnpqxWq2jTU7W1taIzOHv37mXmzJlCy3Aeg6NSqRg/fryo6nA0Gg1qtZrOzk6hpdgUlUpFcHCwKKNT/XFUqkoM5gbA0GOg/OjQd1CdSEVeNWbT8eZA7aYibY5tZ4S8eudqLGbb1sg52uQ0NTXR0NBAcnKyXc8jNM3Nzbi5ueHp6Sm0FJtiMBjo7u7Gx8c20UlnoKysDLVaTXBwsNBSnMfgAMyfP5+ff/5ZaBk2RcxpKjF1vQ2EI1JVYjE3vQxnyeZAx+i/kwpAoVSQfu7Esz52f1rr23jzLx+hP4tlnAPhKJNjMplGRGoKjr1pxsXFCS3D5tTX1zvV3C1bsGbNGubNmye0DMDJDM68efPYsWOH0DJsilgNTkBAAGazmba2NqGl2BVPT08SExM5dOiQzY8tNnOj8dCcVQdVL9XFdTDAYxE5OgwPH4+zPn5/fnxrLVVFNTY3IY4wOXl5eYSHh4s6NQXHhuC1tLSILo0D4kxPbdq0ifnz5wstA3Ayg5Oenk5eXp6o6nC8vb3R6/WCz1WxBwkJCZSUlAgtw+7ExcVhMBhsWlgtNnMDYNAZaao++65Bs8lMU9XJxzH0GBk3Pemsj98fi8XCM8texWqxfZ2cPU1OXV0djY2Nok9NwbHoTWxsrOiKiy0Wi+jawwH27NnD7NmzhZYBOJnBUalUTJgwQVR1ODKZjNDQUOrq6oSWYnMiIiJobGwUpXnrj0wmIyMjg8LCQpu0/YvR3ADUltruOT5QLY9CJWfCLNvv6ik6UMqPb6+zeaoK7GNyOjo6OHToEJmZmaJPTZnNZioqKkRZXNzU1ERAQICofofOVH8DTmZwQKrDcSXkcjkxMTGUlZUJLcXuaDQaMjMz2b9/Pz09PcM+jljNjdVqpeSg7SJcRQdKTtpIrlKryDx/os3O0Z937/8/DHYwOGBbk2M0GtmzZw8TJ04UXcHtQFRWVhIaGiqqGTG9iDE99cMPPzhN/Q04ocGZN28e27dvF1qGTQkMDKS1tVWUbdVxcXFotVrRTWweCF9fX8aOHcuuXbuGlUYVq7mBY+mpkhzbGRxtXhUGnfGkr8dPiDmpANkWdLd38/Lt79i0bbw/tjA5VquVvXv3EhcX5zSfkO2J1WqltLSU+Ph4oaXYHKvVSl1dneiGFm7evNlp6m/ACQ3O5MmTyc/Px2Cwz4VGCORyuWjbqjUaDUFBQaLeT9WfiIgIwsPDyc7OHtJ8IzGbGwCL2Yw29+QdVMNFm1uFUnXyLmCT0UxKVqLNztOfDf/aRsHekyNHtuJsTc6RI0dwd3cX5Rv+QDQ1NaFWq0XVQt1LS0sLnp6eootM7d2712nqb8AJDY4Y63Dg2HC8ysqzb6F1RhISEigsLBTdQMNTkZSUhNVqpbCwcFC3F7u5gWM7qAZasjlcKvOrUbudvPFbJoPxs+y3jmDVTa/ZbBnnQAzX5Gi1WlpbW0lNTRXl82cg8vPzSUy0j5kVmoqKCqKiooSWYVNKS0udqv4GnNDgwLE6nP/+979Cy7ApQUFBtLe3iyoy1YuPjw8+Pj5UVFQILcUhyGQyJk2aRHV1NTU1Nae97UgwNwDIZMfau21Ed0cP7U0n7ztTu6nJPH+Szc7THzcPDalzxtLdqUM/QHrMVgzV5DQ3N1NQUEBmZqboOolORX39sX1kzvRmaSssFgt1dXWEh4cLLcWm/Pjjj05VfwNOanDmzZvHtm3bhJZhU2QyGREREVRV2e5TrjORkpJCQUGBKOuMBkKpVJKVlcXhw4dpb28f8DYjxtwAjZVNJ00fPlsqCwZOeyalj0KusN2lKzo5gttfvokv6t/l988sZee+Uto7dXaNSA7W5PT09LB//34yMzPRaDR20+NMWK1Wjh496hTbqO1BfX09gYGBKJUnp2BdGWeaf9OLUxqcjIwMioqKTvnG4aqIOU3l6elJaGio6Kcb98fDw4PJkyeze/duurq6jvveSDI3AOU2mGB8IkUHSgcsXpfJZCROjDurYyuUCmZePoUXtj7O2znPkb4wk1feWMfCK19i5dM/sOrZHzHZ2LCdyJlMjl6vZ+fOnYwdOxZfX1+7anEmqqur8fDwEO0Aw8rKStGlpywWCzt27GDBggVCSzkOpzQ4CoWC+fPn8/XXXwstxab4+vpiMplOejMUC0lJSZSWlmI02i+872wEBgYyYcIEduzYQXd3NzDyzI3JaLLJks0TKTtSMeBsGrPZwoTZw5uHExjuz/UPX8XnNW+z4oPb6ZArWP77d1m6/G1+XPPrtOo9e0vZs7cUg8G+Q0dPZXIMBgM7duwgISGBiIgIu2pwJiwWC3l5eYwZY7vFqs6E0WikublZdKm3LVu2kJiY6HRG3CkNDsCll17K999/L7QMmyPmKI5GoyE6OpqioiKhpTiU0NBQxo0bx44dO+jp6RlR5gbAqDfatMC4l4q8amSc/Php3NWk/yZtSMdKmzuOx779K5+Uv86Ft57H1z9ks+jKl7j/719SUTHw8MYXXvplWLqHyokmR6fTsWPHDuLi4oiJiXGIBmehvLycwMBAvL29hZZiF2pqaggLCxNdLdWXX37JpZdeKrSMk3DaR/ncc89lx44doqvpiIyMpKqqSrQdRwkJCVRWVqLT6YSW4lDCw8NJSUlhw4YNmM3mEWNuABRKpU2WbJ6INrcSjcfJbbQymYxxM5LP+Ph6+Hiw6Pbz+ajkVZ788X58E8O4Z8WnXL3kdT78aBsm0+lnNzU2dvDO6k3o9faPSPaaHC8vL9avX09kZKQol0ueDpPJRFFRkajXT4gxPQWwbt06Fi5cKLSMk3Bag+Pt7c3YsWNZt26d0FJsioeHB2q1WrRLKlUqFQkJCeTn5wstxaH0Du7y8fGho6NjRBk8tZuKinzbz0Fqrm095XRhjZua6JTIAb83KjWWe965lS/r3mHpo9ew53AVl1/zCrff+TGHcoZmxL7+Zi/19R0OGWRpNBppaWnB19eXhoYG0X24OxMlJSVERETg7u4utBS7oNPp6OnpEV1tUe+4DGecz+S0BgeOpanEVocDEB0djVarFVqG3YiLi6OhoYHOzk6hpTiE/jU3M2bMICUlhe3bt/fV5IidtsZ2ejrtY+iqSwZuPTfojaTO/rVOQ6VWcs7imby295+8uuefjDlnAv98dg2XXv0Kz7/4M93dwxvPYLFYeXrVD1jssIyzP3q9nu3btxMdHc306dPtuoXcGeldZjt69GihpdgNrVZLVFSU6CK7n332GYsWLRJaxoA4tcFZuHAh69evF1qGzYmMjKS2tlZUW9P7I5fLSU5OJi8vT2gpdmegguKIiAjGjRvH9u3bR4TJqyw4/Sygs6HkUPmA6Vw3Tw2T5k8gNDaY361cwhf173Ln67+npsvAdcve5Mab32X9hqM20XDkaBVr1x1Fb6eCY51Ox/bt2xk1ahTx8fF23ULurBQUFBAXFye6yb69WK1WtFqtKGuqfv75Z6esvwEnNzjR0dFoNBpyc3OFlmJTlEolYWFhop2JA8eKqTs7O2ltbRVait04XbdUWFgYqamp7Nixg6amJqEk2h2L2ULRgRK7Hb/0UPmA+6FkMhnTF2XxQdHLzL1+Lh/9aycXX/4ijzz2LfX1th8v8cab6zAZbW802tvb2bZtG6NHjz7uzW8kmZyenh5qa2udMsVhKxoaGvDx8RFd+q21tZWSkhIyMzOFljIgTm1w4Fia6l//+pfQMmxOXFycqLdw916gjx61zadoZ2MwreAhISFMmTKF7Oxsysttt4jSmdD3GCg/ar+uQG1eFRbzwPUvcoWMhx/9ht8ufYPPv9htNw0A7R06Xn19LXq97aI4NTU17Nq1i4kTJw5YeDpSTE5eXh6JiYmiG3zXn9LSUlEWjX/55Zece+65TtsV5pyq+nHppZfyyy+Oadd0JD4+PsjlclFHOEJCQrBYLDQ0NAgtxaYMZc6Nj48PM2fOpLKykkOHDolu67pMJrPpks0T0eZWnXJ7uF5vwtPTcdN9f/4lh7KyhrMeAGi1WsnPzyc/P58ZM2YQGBh4ytuK3eS0t7fT0tIiytRNLz09PXR0dIhu9g3A999/z2WXXSa0jFPi9AZn8uTJVFZW0tjYKLQUmxMfHy/qyb8ymYyxY8dy5MgR0byxD2eIn0ajYdq0aVitVnbs2CGqfWQaD7VdDU7NKYqMATQaFZMmxtrt3CditcLTq348q2OYTCb27dtHe3s7M2fOxMPD44z3EavJsVqtHDlyhJSUFKeNANiCsrIyYmNjRVdcbDKZ2L17t9NNL+6P0z+rZDIZ559/Pp999pnQUmxOREQEjY2NonrDO5GAgAACAgIoKCgQWspZczYTiuVyOWlpaURERLBlyxbRrCHR9xhoqWu12/EtZgsNlQPXMMnlMiZPirPbuQeitKyBb77dN6zZOD09PWzduhVvb28yMjKGlJIRo8nRarXI5XLRLZ3sj9lsprKykthYxxlxR/Hzzz+Tmpo6KJMuFE5vcAAWL14synZxuVxOdHS0aOszehk7dixVVVUuPfvHVusX4uPjSUtLY9euXdTW1tpSoiDU2HCD+KkoP3LqLfXBwd74+zn2AvveB1vo7jEMaVhnc3MzW7duJSkpieTkMw8pHAgxmZyenh4KCgpIS0sTXWSjP9XV1QQFBYmyO+yTTz5h8eLFQss4LS5hcObMmUNhYSE1NfZrRxWK2NhYyssHboUVC0qlkrS0NA4cOOCSqSpb75YKCgpi+vTp5ObmkpeX55KPCRx7XEoOldn9PEXZZRhP0aKt0xkZPz7a7hpOPOfzL/yMcRC1OFarlZKSEvbv309WVtZZ75USg8mxWq1kZ2czZswY3NzchJZjV0pLSxk1apTQMmyOTqdj06ZNXH755UJLOS0uYXDkcjlXX301q1evFlqKzXF3d8fPz0+U5q0/QUFBLpmqstfiTE9PT2bNmoXBYGDz5s0uGd0y6AyUHLJ/9FGbW4nxFCkhtVrBxDTHGhyArdsKyDlUifE0reNdXV1s27aN5uZmZs+ebbNFhK5ucrRaLQqFgsjIgSdRi4Xm5mZkMpnTLaC0BZ9//jmzZs3Cy8tLaCmnxSUMDsD1118vyjQVQGJiIoWFhaKO4sCvqSpX6Ryz91ZwpVJJamoq48aNY8+ePeTn57tUNMditlKRZ/sVDSdSkVeNSj1wvYpCoSAjXZhPyM++sGbAr/dGbXqH92VkZNg8ReGqJqe7u5uCggJSU1NFnZqCYysMxDqZ+dNPP2Xp0qVCyzgjLmNwUlNT6enpEd3QPwA/Pz/UarXo2qlPpDdVlZ2d7fRv5PY2N/0JDg5m7ty56HQ6l4rmqN3VdlmyeSIV+dWoNKpTfj8y0h9PD8e1i/dSW9vGhx9vRdcvutTV1cX27dv7ojZnm5I6Ha5mckZSaqq9vZ3u7m5CQ0OFlmJzmpqayMnJ4Te/+Y3QUs6IyxgcmUzG0qVLeeedd4SWYhdGjx7dt7RMzAQFBREYGOjUyzgdaW566TV/LhXNsVipKa23+2l0XTraGk7ddWYwmBg3Tph0x2ef76K1pQuz2dwXtYmPjycjIwONxv6my5VMTnl5OUqlUvSpKfg1eiPGKNUHH3zAwoULUalO/aHDWXAZgwPHuqn+/e9/O/+FfxgEBgZiNptpbm4WWordGTNmDNXV1U6ZqhLC3PTHlaI5DZVNp5wybGsq8k89a0ehkJGa6vg6HACTycLLr/zEjh07HBK1GQhXMDnd3d0UFhaOiNRUV1cXLS0tDn8eOIovvviCG264QWgZg8KlDE5MTAyhoaFs3bpVaCk2RyaTkZSUNCKiOEqlkokTJzpdV5XQ5qaX/tGcvXv3kp2dTU9PjyBaTkf50VO3b9uaogNlpzRTKpWSrAzH1+G4uSmYOT2EpCQFPT1qUlMnOiRqMxDObHJ6U1Njx44VfWoKoKioiISEBFEOLywuLqahoYGsrCyhpQwKl/sNLF26lPfee09oGXYhNDSU7u5u0QyBOx2BgYEEBQU5TarKWcxNf4KDg5k3bx6+vr5s3bqVI0eOOM1QSKPBROEBx03hLj9agb7n1D97fHww6lMUItsapVJGZnog114dR4/OzCeflvDGWzuxWIRtEnBWk9ObmhJrRKM/Op2O+vp60a6eePfdd1m8eLFTXB8Hg8sZnKuuuor//ve/mEy2W3rnLMhkshFTiwPOk6pyRnPTi1wuJz4+nnnz5qFSqdi0aROFhYWCv3kZ9Ua7rmg4EW1uFTL5qX8vJpOZlBT7TsSVy2HCOD+W/HYUarWcTz8rZd/+JkwmKy2t3bzx1vphTTi2Jc5mcnpTU2If6NdLSUkJcXFxKBQKoaXYhe+++47rr79eaBmDxuUMjr+/P+np6XzzzTdCS7ELERERtLS00N3dLbQUu9M/VSXUhdiZzU1/lEolSUlJzJkzB71ez4YNGygrKxMsxadSK6nIc6DByavC7XSdUjIZqXYc+Dc60Zsl144iJMSNr74uZ9uOBvT64x/773/Iprq6FbOD6pJOhbOYnN7X1tixYwVL3TkSo9FIZWWlKLeGA+zevRs3NzeXan13OYMDsGzZMj766COhZdgFuVzeNxdnJBAYGEhYWBjZ2dkOnwPkKuamP2q1mvHjxzN9+nRaWlrYuHEjVVVVDjc6Ko2Kynz7z8DppbW+jZ5O3Sm/r1Erycy0fR1OXKwn114VR9JoH77/sZJ1G2rp7Bo4emyxWFn5zPdOMc/KGUxObm4u7u7uI6JrCo5Fb6Kjo12iu2g4vPPOOy4x+6Y/LmlwLrroIg4cOCCKXT4DERMTQ2NjI52dnUJLcQgpKSmYTCaKi4sddk5XNDf98fDwYNKkSWRkZFBbW8v69espLCx0WI1Oa0Mbum69Q87Vy+k2iwMkJ4UhP00aa7CoVDJSJ/hz3eJRjB/nz4bNtfywpoqW1jM/toWFdfy45qDgqSoQ1uRUVlbS2NhIWlqaw84pJHq9nvLychITE4WWYhd0Oh0//vijS6WnwEUNjlqtZsmSJbz66qtCS7ELcrmc5ORkUQ41HAiZTMbkyZOpqKigrs7+yxtd3dz0x8fHh/T0dGbOnInJZGLTpk1kZ2fbvb3cEROMT6Q4u+y00RGZTMboxOEPVvP1VTFrRgjX/TYBX18V//6+gu9/rKSu7tSRo4F4+51NGAzOUeArhMlpaWkhLy+PrKws0dainEhhYSHx8fGijd588MEHzJ07l4CAAKGlDAmXNDgAt9xyC59++qlTtRnbksjISLq6ugQvwHUUKpWKrKwsDh06REdHh93OIyZz0x83NzfGjBnDOeecQ0BAAAcPHmTTpk2Ul5fbvCDfYrZQ5MAOql5KD2sxnKaTymy2MGHC0OpwFAoZSaN9uPzSGC66IIq2diMff1rClq31tLcPLwrT1a3nxZd/wXCKBaGOxpEmR6fTsW/fPtLT00dESzgcK6Sura0V5VLNXt577z1uu+02oWUMGZc1OPHx8cTHx/Of//xHaCl2ofeidPToUaGlOAxPT08mTpzI7t277ZJqEau56Y9CoSAmJobZs2czadIk2tvbWb9+PdnZ2dTV1dnkzU3fY3DoDJxetLmVp/1Ao9EoycyIP+NxZDKIjPBg9qxQli5JIDrKk2076vm/f5VyKKcFo/HsPzSt33CU/IIaTIPYOO4IHGFyzGYzu3fvJiUlBX9/f5sf31nJy8tj9OjRoo1WHThwgI6ODqZNmya0lCHjsgYH4Pbbb+fNN98UWobdCAkJwWKxiH5HVX+Cg4OJj49n7969No3OjQRzcyI+Pj5MmDCB+fPnExwcTEVFBWvXrmX37t1otVr0+uHV0MjkMkFSVBV51WjcT92NI5PJGDc2koF+tWq1nNGJ3pz3mwhuXJrIxLQAGht1fPJpCes21Aw5DTUYVj078DJOobCnyekd5hcUFERUVJTNjuvstLe309raSnS0MJO0HcHLL7/Mbbfd5pLXTJnVGUr+h4nJZCIhIYHNmzcTGxsrtBy70NzcTE5ODrNnz3bJJ9hwsFqtHDp0CIVCwfjx421yvJFmbk6FxWKhqamJ2tpa6urq0Gg0hIWFERYWhpeX16Afm6tCb6L1NPuhTseyty/j/ZuHPuZBLpfzY8//oVCd+pOyyWzh97espqy8EW9vFaPivRgV54WvnxqttouS0g4qKrsxmx1z2Vt+42yuuiITzWmWhToaq9VKbm4ubW1tNquTKSoqoqmpiaysrBH1+tq1axfR0dGiHWLY2dlJcnIyR48exdfXV2g5Q8alIzhKpZKbbrqJF154QWgpdiMgIAB3d3eqqx3/iVkoZDIZEyZMoLW1lfLy8rM6lmRujkculxMcHNwX2UlLS+t7jNavX8+hQ4fQarW0t7efMoLW06kbtrk5GywWC/UVjQN+z2q10tHRgbZcy5zZYSy+Np6LL4jC3U3Bth0NvP9hMes31lJW3uUwcwPw8Sfb6ejQOUXreC+2juTU1dVRUVHB5MmTR9Trq7m5Gb1eT3i4fQdMCskbb7zBRRdd5JLmBsAxs83tyB/+8AcyMjJYuXKlaIdJjRkzht27dxMeHi7K/SYDIZfLyczMZMuWLXh7ew+rel8yN6dHJpPh4+ODj48PSUlJ6PV6GhsbaW1tpaKigs7OTtzd3fHz88PX1xc/Pz+8vb2pLhZuPEPZ4QrC4kPo7OyktbWV1tZW2tra6OrqwtPTE19fXyLCg3n5tTw6O4Uv8jUYTKx6bg3/ePQKVKeJPDmaXpOTm5vL7t27hx3J6ejo4NChQ0yfPl20HUQDYbVaOXr0KGPHjhXtdcVisbB69Wq++OILoaUMG5c3OCEhIcyaNYv333+fW265RWg5dsHb25vAwEDKyspEXal/IhqNhszMTPbs2cOMGTNwd3cf9H0lczN0NBoNkZGRfYPZrFYr3d3dfSaiqqqKjo4O9J1G5v9pGt0tPXT97093Sw9dzcf+bT7LFmm5Uo6nvzueAe54+Lvj6f+/vwPcqe6o4OefG/Hy8sLPzw9/f3/i4uKOS6/FxHTT+fSGs348bMXuPSXs2VtCRnq8w/ZlDYazNTkGg4E9e/YwceJEPD097ajU+aitrUWhUBAUFCS0FLvxyy+/EBQUxLhx44SWMmxcuganl927d3Prrbeyb98+oaXYDb1ez+bNm5k9e7ZoI1Wnorq6moKCAmbOnIlSeeY3CMnc2A9dl46Pn/qC7T/s/p/p8PjVgPzPhCjVCvTdRrpbetB3GbCYLFjMVqyWY3+PnhlL8Q4tMrkcuUKGXCFH5a7CM8Adjacai8nyq2lq6aGrubvv32PSk7h11XI8fTxOqdFisbBk6ZvU1dl3FtBQCA725qP3b3Eqg9PLcGpyLBYLO3fuJCwsbER96IJjtZ8bN25kypQpeHt7Cy3Hblx44YXcfPPNXHbZZUJLGTbO92obBr2r27du3crMmTMFVmMfNBoNCQkJHDlyhMmTJwstx6FERETQ0dHB/v37ycjIOG2aTjI39sVqhdLsSioOnj5NpfY4ZljU7ipkiv8Zmf8ZmvjMKPI2lmIx/8/4mC0YdSa6WnrQd55+PIDKokF9hoJdvd5E6oRo/utEBqehoYPV723mxmWznKrgGIYeybFareTk5ODh4UF8/Jnb8sVGYWEhERERojY3paWlHD16lEsuuURoKWeFaAo67r77bp555hmhZdiV+Ph42tvbaW5uFlqKw0lKSkKj0XDgwIFTFmxK5sb+aNzVg1qyaeg20lLZTl1hE7V5DVQfqacypxZtdg1mo5nKQ7VUH6mnNq+BusImmivazmhuACoLqlGqTv+5TKNRMWlizKB/Jkfx1Td7aWjocMrhpIMtPLZarRw5cgS9Xk9qauqIe411dnZSVVVFUlKS0FLsysqVK7n11lsHFTF3ZkRjcK655hoOHz5MXl6e0FLshkwmIzU1lUOHDjlVV4Yj6P3Z5XL5gIs5JXPjGCwWC3Vlws1l0vcYaG04fWRGLpcxeXKcYwQNAbPZwj9X/YDF4pyv3cGYnLy8PDo7O88YSRUjvZGrsWPHuvwb/+lobGzkhx9+4NZbbxVaylkjmmeoUqnknnvu4R//+IfQUuxKQEAAPj4+lJY6flS+0MhkMiZOnIjFYjnO5EnmxnE0VDQJHoGoGMQW8+Agb/z9Tl2nIxRHjlSxbsNR9HrhO7wG4nQmJz8/n5aWFjIzM0ecuYFjhcVWq1XUbeEA//znP7n++uvx8fERWspZI6pn6fLly9myZQsVFY4fI+9Ixo0bR3Fx8bAn0boyMpmMSZMmodfrOXz4MBaLRTI3DqT0sFZoCRTuL8F8hhUIOp1xyHupHMXrr69z6GbvoTKQySkqKqKhoWFELdDsj8lk4siRI0yYMEHU15jOzk4+/fRT7rrrLqGl2ARRxdnc3Ny47bbbeOKJJ3jjjTeElmM3eguOjx49yqRJk4SW43DkcjkZGRns3r2bjRs34uvrO+KGjAmB0WCko6mTpIyEszqOUq08q2OYDCYMOiPuXqd+o1WrFaSlxbB5S/6wz2Mv2jt0vPLaOu7807loNM55Ce5feLxx40ZUKhXTpk0TdWrmdIyEwmKA5557jkWLFhESEiK0FJsgumfrbbfdxtixY2lqaiIwMFBoOXYjLi6OzZs309zc7HIr7G2BTCZDpVJhNBpHXNu8UBgNJuZcM50510w/q+Ns3LyBZzc+elbHOFMER6FQkJnuvB0+P/9yiEULJ5GYEIpC4ZyBdJlMhlqtxmQy4ebmNiLTUvBrYfHcuXOFlmJXDAYDq1evZtOmTUJLsRmimINzIn/7298wm808/fTTQkuxK83NzWRnZzNnzpwRFTbuX3OTmprKvn37cHd3F334WGiMRjO3/ekDiovrz+o4y5clsvr9omHf39fXnW++vPOMt7NYrCy67AW6up0zlTsqPpg3XluGUumcr92CggLq6uqYMmUKRUVFNt1d5SpYrVa2bdtGQkKC6GtvXnzxRfbs2cPHH38stBSbIUpLftddd/Hpp5/S2dkptBS7EhAQQGhoqKg7x07kxIJipVJJZmYmBoOBgwcPjrjuMkeiVMqpqBB+REFbWw/dgzAtBoOJ8eMjHaBoeJSUNvDtd/vR641CSzkOq9VKXl4eDQ0NTJs2DbVabbct5M5OaWkp7u7uojc3ZrOZV155hQceeEBoKTZFlAYnJCSERYsW8dxzzwktxe6kpKRQV1c3ImbjnKpbSi6Xk56e3ldwLHSXj1hpaenCYHCO7p+q6pYz3kahkJHqpIXGvax+fzM9PUanMea9O5ZaWlqYOnVqX82NrRd0ugJdXV0UFxczYcIEoaXYnQ8//JAxY8YwZswYoaXYFFEaHIAVK1awevVqDIYzDw9zZRQKBRMnTiQ7O1vUF50ztYL3dlfJ5XL27dsnmRw74AzRm16Ki+vPaApUKiWZGc69RkCnM/L8iz9hNAr/2rVarRw+fJjOzs4BU1EjyeT0Xm/Gjx+PWq0WWo5dsVgsPP/88/z9738XWorNEa3BiYmJYdasWbz++utCS7E7Yk9VDXbOjUwmIy0tDTc3N3bs2CF6c+tIzGYLBUXCbRE/kZLShkHNkomPD3bK/U/92bK1gMOHKwU1OSaTib1796LX68nMzDxlnc1IMTklJSUjIjUF8N133xEQEEBmZqbQUmyOaA0OwP3338+rr76KyeQcYXV7ItZU1VCH+MlkMiZMmEBERARbtmyhvb3dETJFj8FgQlveJLSMPioqmgaV1jGZzKSkOP+b1LPPrxHs3N3d3WzduhUfHx/S09PP2C0ldpPT2dlJaWnpiEhNwbG1DGKM3oDIDc6YMWPIyMjgxRdfFFqK3VEoFEyaNElUqaqzmVAcHx9PWloau3btorbWeSIPropcLqNc6zwGp1zbNLgZMjLnr8MBqKlt46NPtjm84LipqYlt27aRlJREcnLyoF9jYjU5VquV7Oxsxo0bJ/rUFMAXX3yBRqPhnHPOEVqKXRC1wQF44okneOmll+jq6hJait3x9/cXTarKFusXgoKCmD59Orm5uRQUFDhNIacrotGo0FY4j8Gpr28f1E4njVpJlpPX4fTy2ee7aGntdtiuqvLycg4cOEBWVhYRERFDvr8YTc5ISk2ZzWYeeeQRVq1aJdrxGqI3OPHx8SxcuJAnnnhCaCkOISUlhfr6ehobG4WWMmxsuVvK09OTWbNm0drayr59+0RxERaCrm497e09Qsvow2KxUld3+qWbvSQlhSGXO/8F3Gg088yqHzGb7Vsgb7FYyMnJoaKiglmzZuHr6zvsY4nJ5LS3t4+o1NTbb79NUlISWVlZQkuxG6I3OAB///vf+eijj1z6TX+wKBQK0tPTyc7OdsldVfZYnNk7K8fLy4utW7fS0+M8b9SuQvUg2rIdTWnZ4F7PMpmM0YmhdlZjGw5kl7Nte4Hd2vENBgM7d+7EYrEwffp0m0wBF4PJMZlM7Nu3j4kTJ46I1JRer+fpp5/mqaeeElqKXRkRBickJIQbb7xRtIVUJ+Lj48Po0aPZv3+/S6Vl7LkVXCaTkZKSQmJiItu2bRNdMbY9sVqtFBWd3fRie1BUVDcoI2A2W0hNjXGAItvw8qtr7ZKm6ujoYMuWLYSHh5OWlmbT1QuubnJycnIIDw8nKChIaCkOYdWqVcydO5eUlBShpdiVEWFwAP7yl7/w/fffU1ZWJrQUhxATE4NaraaoaPgj8R2JPc1NfyIjI8nIyGD//v1otcJvxnYF9HoTpWUNQss4CW1FEybTmdM5Go2SjPQ4+wuyEZ4eaoqK6+jpsd2Yg9raWnbu3Elqairx8fbZ0eWqJqeiooLu7m6Sk5OFluIQ2traePPNN/nHP/4htBS7M2IMjre3N/feey9/+9vfhJbiEGQyGampqWi1WqePVjjK3PTi5+fHzJkzKS8v5/Dhwy4V5RICq9WK1ok6qHrRaptQqc+8F0kmkzFuXBTOXEcpl8uYMX00Lzy3hPfevZmk0WGobbBp3Gq1UlhYSG5uLtOnTyc4ONgGak+Nq5mczs5O8vLymDx5smgLbU/kscce45prriEy0nnXmNiKEWNwAP7whz+we/duDh48KLQUh6BSqUhPT2f//v1OO/TO0eamFzc3N6ZPn47RaGTnzp3odDqHnNcV0WiUTtUi3ktFZTPKQW7iVqsUxMY4X/rB39+T65ZM58vP/sSD9y9k/LhIFAo5arUSxVmmkIxGI/v376e5uZmZM2fi6elpI9Wnx1VMjtlsZu/evaSlpeHu7i60HIdQU1PD559/zv333y+0FIcwogyORqPhkUceGTFRHDgWrRg1ahQHDhxwukiFUOaml941F71DASsrK53uMXIGzGYr9fWD61hyJEajmeaWwY1/MBrNTJgQZWdFgyd1QjSPPnwZn3/6RxZfOw1fX3c0GpXN6mLq6+vZtGkTPj4+ZGVloVKpbHLcweIKJufIkSOEhIQQEhIitBSH8eCDD/LHP/4Rf39/oaU4hBFlcAAWL16MVqtl06ZNQktxGPHx8chkMkpLS4WW0ofQ5qYXmUxGbGwsM2bMQKvVsmfPHimacwJ1dW04q+8bbOrMzU1F+mT71J4MFg8PNQsvmcTHH9zCM/+8hunTRiOXy3BzU9ns+W80GsnOziYvL48pU6YwevRoQV9bzmpyqquraWtrE32RbX8KCwtZu3Ytd9xxh9BSHMaIMzgKhYJ//vOf/PWvfx0xCxllMhkTJ06ktLTUKepxnMXc9MfDw4Np06YREhIiRXNOoMwJC4x7KSysHdTcmGN7yoSZaBwXF8Tdfz6fr7+4gz/8fh7h4X6oVEoUCrlNn/u9URtPT09mzpyJt7e3zY49XJzR5HR0dHDkyJFBraUQEytWrOD+++/Hw8NDaCkOY+T8dvtx4YUX4uPjw7vvviu0FIehVqv7uoeEnAPjjOamF5lMRlxc3HHRHFecJWRLDAYThcXO1yLeS7m2Cf0gZ8Z4e7kRFjb8oXZDQamUM3dOCq+9cgNvv7Gc884dj0qlwM1NbfPnfG/UJjc3l6ysLEaPHu1Ub9zOZHKMRiN79uxh4sSJI+qN/ueff6a4uJibbrpJaCkOxXleBQ5EJpPx6quv8vjjj9PW5ny1BfbC19eXsWPHsmvXLkEWkDqzuelP/2jO5s2bqaqqElqSYJjMFqfsoOpFW9GEYpBTivV6ExPG2zeKExzszfJls/nqiztYce9FJCeFoVDIUamUdnm+90ZtPDw8mDVrFj4+PjY/hy1wBpNjtVrZu3cvcXFxdu8mcyZMJhN33XUXb7zxBkrl2XfmuRIj0uAAjB49miVLlrBixQqhpTiUiIgIwsLCyM7OdmgKxlXMTS/9ozllZWUjNpqjVimc2uBUaJvQaAZXQKvRqJg8KdbmGmQySJ8cx1NPXMX/fXQrV12ZiZenxqa1NSdyYtQmKSnJqaI2AyG0yTly5Aju7u52mwPkrDz11FNkZGQwffp0oaU4HOd+RdiZBx98kF9++YX9+/cLLcWhJCcnY7FYKCwsdMj5XM3c9MfDw4Pp06cTFBQ0IqM5crmcyirh67ZORXuHjq6uwRlPuVxmU4Pj5aXhyssz+fST23jiH1eSmRGPXC5Do7GfsQHXidoMhFAmR6vV0traSmpqqktdf86WyspK3nrrLVatWiW0FEEY0QbHw8ODZ599lttvv33EFBzDsYvM5MmTqa6upqamxq7ncmVz04tMJiM+Pn5ERnNaWrowGoUvDD0dQzFgQUHe+Puf3TyY0aNDuW/FxXz1+R0sv3E2wUHeqNVK5HLbFg2fiNFo5ODBgy4VtRkIR5uc5uZmCgoKyMzMdMnH62y44447WLFixYhqhe/PyPptD8Bll12Gp6cnq1evFlqKQ1EqlWRlZXH48GHa29vtcg4xmJv+nBjNyc/PF6SWyZGUa51/QW1RUd2gdzfpdEYmjB/6PBy1Wsm5vxnPO28t59WXljJv7hiUSrld01C9mM1miouL2bhxI+7u7i4XtRkIR5mcnp4e9u/fT2Zmpk0Wi7oSP//8M0VFRdx6661CSxGMEW9weguO//GPf4yogmM49oY9efJku0QkxGZueumN5sydOxeLxcKGDRsoKSkRZQTQbLZQWFQntIwzUlbWOOjt22q1kolpg1+8GRHuxx9+P4+vv7iDP99xHvFxwSiVClQqhd2f01arlYqKCjZs2EBXVxezZs1y2ajNQNjb5JhMJnbv3s3YsWPx9XVM95yzYDKZuPvuu3n99ddHXGFxf8TxSjlLkpKSWLx4MX/961+FluJwAgMDSUxMtGlnlVjNTX9UKhVjxoxh1qxZdHR0sH79eioqKkQ1O8dgMFFe7rwFxr2UVzQN+nFXKORkpJ++yFQulzF1SgLPPvNbPnjv9yxalI67u8oh0Ro49vqpra1l48aN1NfXM23aNFJTU3Fzc7P7uR2NvUyOxWJh3759hIWFERERYZNjuhIrV65k8uTJzJgxQ2gpgjJyrd0JPPjgg4wfP54DBw4wadIkoeU4lNjYWHQ6HXv37iUrK+usPiGOBHPTHzc3N9LS0vqW9hUXFzNmzBhCQkJc/meXy+VUVDi/wRlKJxVAZKQ/np6ak4qT/fw8uOC8VK64IhNPD3VflEajcNxlsrm5maNHj6JQKJg8efKIiDz0mpzc3Fx2795NVlYWCsWZl6ieCqvVysGDB3FzcyMpKcmGSl2DyspK3nzzTfbu3Su0FMGRIjj/w9PTk1WrVvHHP/5RlOmGM5GUlISHh8dZtY+PNHPTHy8vLzIyMpg4cSLFxcVs27bNKaZGnw0ajRKtCxic+ob2IX3y1+tNjB/36yblcWMjeejBRXz+6R+5/roZ+Pt59O2FctRzuL29nV27dnH48GFSUlKYNm3aiDA3vdgykpOXl4fRaBxxHVO93HnnnfzlL38hNDRUaCmCIxmcflx++eV4eXnxxhtvCC3F4chkMiZMmIDZbCY3N3fI9x/J5qY/fn5+TJ8+neTkZHJycti9ezcdHR1CyxoWnZ06Ojqcfy+X1Qq1dYMvlFco5GRljuKiC9P44L3f89yqxcyckYRC4Zii4f50d3ezf/9+9u7dS3R0NLNmzSIoyPm2njsCW5ickpISmpqaSE9PH5HXoH//+98UFhZy2223CS3FKZBZxVQ0YAO0Wi0zZsxg69atxMbafiiYs2M2m9m5cydhYWEkJCQM6j6SuRkYq9VKdXU1eXl5BAQEkJKSgru7u9CyBk1+fg233v6BzY+7fFkiq98vsukxH/77pcyZPbTFiTqdETc3x27Z7kWv11NYWEhtbS2jR48mOjpaNMXDZ4vVaiU3N5e2trYhpauqqqooLCxkxowZDt+e7gy0tbUxadIkvv76ayZOnCi0HKdAekWdQExMDH//+9+56aabRmSqSqFQkJWVRUVFBZWVlWe8vWRuTo1MJiMyMpJ58+bh7+/Ptm3b2LdvHy0tLUJLOyNWq5WiYufvoOqluKR+0J1UcOznE8LctLe3c/DgQTZt2oRGo2HevHnExsZK5qYfw4nk1NfXk5uby5QpU0akuQH44x//yHXXXSeZm35Ir6oBuPnmmwFGZKoKjnUITZ06lfz8fOrrT71oUTI3g0MulxMXF8c555xDWFgYhw8f7puK7KwmWq83UVrm/DNwetFqmzCZBv9YOvK52tsVtX37dvbv34+fnx/z589n9OjRZ1VMK2aGYnJaW1s5ePAgU6dOdakIqS357rvvOHToEA8++KDQUpwKqYtqAGQyGatXr2bGjBlceOGFxMXFCS3J4bi5uTFlyhR27tzJ5MmTCQgIOO77krkZOnK5nMjISCIjI2ltbaW4uJijR48SGxtLXFwcarVaaIl9WK1Wlygw7kVb0YRa7VxmwWg0UlFRQWlpKd7e3iQlJREYGCi9VgbJYLqrOjo62LNnDxkZGXh5eQmkVFja2tq46667+Prrr53qGuIMSBGcUxATE8NDDz00YlNVcKwzKDMz86S0imRuzh4/Pz/S09OZNWsWFouFTZs2sW/fPhobG51ilo6bmwqtC8zA6aWqqsUp0jxWq5WWlhays7PZsGED3d3dTJs2jaysLIKCgqTXyhA5XSSns7OTXbt2MWnSJPz9/QVUKSy33XYb119/vZSaGgDhrwhOzO9+9zvkcjmvvvqq0FIEw9fXl8zMTPbu3Utra6tkbmyMm5sbKSkpzJ8/n4iICIqKili/fj2FhYWC7rsyGs00NNpnhYc9MBrNNDV3Cnh+I6WlpWzatIkjR44QGBjI/PnzGT9+PB4eHoLpEgMDmZyuri527txJWlraiO06g2OpqcOHD0upqVMgpahOQ2+qavr06VxyySUjMlUFx6INmZmZ7NmzB29vb9RqtWRubIxcLic8PJzw8HC6u7vRarVs3rwZPz8/YmJiCAoKcmi9Rl1dG04QSBoSWm0TwUHeDjufxWKhubkZrVZLY2MjkZGRpKen4+3tOA0jhf7pqh07dqDT6UhNTSU4OFhoaYLR2trKXXfdxTfffDNiC6vPhGRwzkB0dDQPP/wwy5cvZ+3atU4RBhcCX19fvLy8aGxsZMaMGZK5sSMeHh6kpKSQnJxMfX09FRUVZGdn4+/vT1hYGKGhoXZfHFhc0mDX49uDwsJa0lKjUSrtZwSNRiP19fXU1tbS1NSEr68vUVFRTJw4ccReGxyFTCYjJiaGsrIyPDw8CAwMFFqSoNx2220sXbqUtLQ0oaU4LZLBGQQ33XQTn3/+Oa+++ip/+tOfhJbjcHrTUhqNhhkzZrB3714yMjJGdN7bEchkMkJDQwkNDcVisdDU1ERtbS0FBQVoNBrCwsIICwvDy8vLpobTYDBRUnLq7jlnRVvRhNFotrnB6e7upra2ltraWrq6uggODiYyMpKJEydKXVAOpLOzk507d5Kenk5TU5NN1jq4Kt988w1Hjhzhgw9sP6dKTEgGZxD0pqqmTZvGhRdeOOgBeGJgoJqb3nRVenr6Sd1VEvZBLpcTHBxMcHAw48ePp6Ojg9raWg4cOIDRaCQ0NJSwsDACAgLOOpJgMlso17pOgXEv5domm0RReguF6+rqqK2tRSaTERYWxpgxY/Dz85OilwLQa25SU1MJCQkhJCTEZrurXI2mpibuvvtuvv32Wyk1dQYkgzNIoqKiWLlyJddeey07duwYESvoT1VQ7OfnR1ZWFrt372by5MkjPlTsaGQyGT4+Pvj4+JCUlIROp6Ouro7i4mL27dtHUFAQYWFhhISEDOsCqFYpXGLJ5olotU1oNMN7XZpMJhoaGqitraWhoQFvb2/CwsKYMmWKVCQsMO3t7ezevZu0tLS+mhtbL+h0FSwWC9dddx1/+MMfpNTUIJBWNQyR5cuX4+XlxUsvvSS0FLsymG6p3gvPuHHjCA8Pd7REiQEwm800NDRQV1dHfX09KpUKPz8//Pz88PX1xcfH54xvBBaLhQsufhajcfgLD0+HPVY19PLd13/G29vttLexWCx0dHTQ2tpKa2srbW1t6HS6PmMYHBwsfTJ2Epqamti/f/8pP0gNd62Dq/LPf/6TdevW8dNPP0k1X4NA/GEIG/PKK6+QkZHBN998w2WXXSa0HLsw2FZwHx8fZsyYwY4dO9Dr9SO2y8yZUCgUfbU5VqsVnU7X90ZeW1tLe3s7arUaX1/fPuNzoulpau6ym7mxN1XVzaQkR/T9/0Qz09raik6nw9vbG19fX4KCgkhMTMTDw0NKPTkZNTU1HDlyhClTpuDj4zPgbUZSJGfnzp28/vrr7NmzRzI3g0QyOEPEw8ODL774ggsvvJCMjAyio6OFlmRThjrnxt3dnZkzZ7Jz5070ej1JSUnSG4WTIJPJcHd3x93dvS/C1t/0tLW1kZ+fT3t7+3GRnpqabhQKGWazawV35XIoKKhAozbQ3t52nJnx8/MjODiY0aNH4+7uLj1HnZzy8nKKi4uZPn36GVOEI8HktLW1cf311/PBBx+M6Nb4oSKlqIbJO++8w3vvvcfmzZtF82I6myF+JpOJvXv34uHhwYQJE6Q3EBej1/Q0N7eQl1dGZ2cncoUMXY+Zrm4TXV3/+9P3byNd3Sa6u8yYLUO7hAw1RSWXg4e7Ek/P//3x6PdvTyUeHko83JVYraBSaxg7Jp6goAD8/PwkM+NiWK1WCgoKqKurY+rUqUNaPSDmdNXll19OamoqjzzyiNBSXArJ4AwTq9XKb3/7W2JiYnj66aeFlnPW2GJCscViITs7G7PZzOTJk0V1gRkp9PQYeOmV//LzLzkAuLsrjjcUHscbC08PJQqFDJ3e3GeAurvNmE0WLFawWqxYLFYsFrBYj/17+tQQdu5uQC6TIZODQi5DJpchl4FCIcPd/ddzubkrsFqsdHef3mj19JixWiF9chz/ePRy3NyknTyuhtVqJScnh+7ubjIyMobVyCFGk/PSSy/x1VdfsX79elH8PI5ESlENE5lMxttvv016ejrnnHMO559/vtCSho2t1i/I5XImTZrE0aNH2blzJ1lZWVKxpouhUMgp1/66Rbynx0xPj5nGptOvjdBo5H2mxON/pkcmkyGXg1wuQy6XoZTLkKvkyGSgVMqxWKyYzVZMRmuf+TGbrfTouun+n5Hp0Q2tFqhc24RaLT3nXA2z2cz+/ftRKBRkZWUNu8ZEbOmqAwcO8Oyzz7Jz506X/jmEQjI4Z4G3tzefffYZl112GTt37iQsLExoSUPG1rulZDIZ48aNo7i4mG3btpGVlSW12boQarWSCm3zkO+n11vQ6w00NxvOeNsJE/zZt98+beiNjR2YTGbUaunS5iro9Xr27t2Ln58fY8eOtck1SAwmp6uri8WLF/Pmm29KXarDRCrFPksmTZrEPffcw+LFi11u67g9F2cmJCSQnJzMtm3baGpyvZkqI5WOjh66uoVb8mkLampbhZYgMUja29vZunUrUVFRjBs3zmbXoNNtIXcVfve737Fw4UKXzg4IjWRwbMDtt9+Ot7c3Dz/8sNBSBo0jtoKHh4czZcoUsrOzKS8vt/nxJWxPZVWL0BLOmpKSBqTSQuenpqaGXbt2MXHiRGJjY21+fFc2OW+99RalpaU8/vjjQktxaSSDYwNkMhkffPABn3/+OV9//bXQcs6II8xNLz4+PsycOZPKykoOHTrkclGukYTFYqWwqE5oGWdNcUk9Bhed4zMSsFqt5Ofnk5+fz4wZM+w6Cd0VTc62bdt44okn+OKLL6QaxrNEMjg2ws/Pj++++44777yTnJwcoeWcEkeam140Gg3Tpk3DarWyY8cODIYz12lIOB6DwUh5WeOZb+jkVFQ0YTFLRtoZMZlM7Nu3j/b2dmbOnOmQ+jxXMjmVlZVcd911/N///Z/oZqwJgWRwbEhKSgpvvvkmV1xxhVPWnQhhbnqRy+WkpaURERHBli1baG9vd9i5JQZP/w4qV6Vc24RKKjJ2Onp6eti6dSve3t7DbgMfLq5gcnQ6HZdeeikPPvggM2bMEFqOKBDsKmCxWESZJz/vvPO45ZZb+O1vf8v333/vFNX7Mtmxll2hzE1/4uPj8fb2ZteuXYwfP17qDnAi1BoV2oqhd1A5G9XVLcil2X5ORVNTEwcOHGDs2LFERESc+Q52wNm7q5YtW8b06dO56aabhJYiGhxucAwGA1qtFqPR6OhTO4wLL7ywb9u2s2za1ul0WK1WJk+eLPhk16CgIGbMmMGePXtobGxk3Lhx0m4VJ8BoMNHY2CG0jLPGZLLQ2NhJSMjA+4skHEfvZOKqqiqysrJOuVPKUTiryXn88cepr6/n448/FlqKqHC4wdFqtXh7exMYGCj4G609SUxMpKCgAH9/f0F3h1itVrq7u2ltbcVgMDjNY+7h4cGsWbM4evQoW7ZsISMjA09PT6FljWhqatuElmAzysobJYMjMDqdjv379+Pm5sbs2bMdmpI6Hc5mcr755hs+/PBDdu7c6TSPkVhw6KNpsVgwGo0EBgaK/hepUCgYPXo0eXl5eHp64u3t7XANveZGoVAQHh5OUVERFovFaaIlcrmc8ePHU1tby/bt2xk7diyRkZFCyxqRWK1WSkvrhZZhM4qK6pg8KRalUvhP5yOR+vp6Dh06RFJSEjExMULLOQlnMTmHDx/mzjvv5OeffyYgIMDh5xc7Dn2n6625cZYogr1Rq9UkJCRQWlqKXu/Y4Wm95gaORUt6TY0z1j2FhYUxc+ZMSkpKOHjwoFMWAIodg9FMUbF4DE65tgmDQXoeORqLxUJubi5HjhxhypQpTmluehG68Li5uZkrrriC1157jTFjxjj03CMFwcMoOp3Obm3DarUaNzc3uxx7sHh6ehIZGUlRUREpKSkO+ZRworlxBUPp7u7OjBkzyM/PZ/PmzWRkZAgS9RqpWMwWKkRQYNxLRUUTSqVzRCpHCj09Pezbtw9vb29mz57tFLUtZ0KoSI7ZbObKK69k+fLlXHzxxXY/30hFUIOj0+mIjoymsdk+ralBAUFUVFUIbnICAwPp6emhpKSExMREuxoOVzQ3vcjlcsaMGUNgYCA7d+7sC2+70s/gqqjVSlG0iPeirWiS9lE5kJqaGg4fPuySaWYhTM6tt95KaGgoK1assOt5RjqCXgEMBgONzY3M5EKU2HZiowkjW5t/xGAwnNLgbNy4kcWLF3PHHXdw33330dTUxNKlS2lvbyczM5PnnnvuuNt3d3dzww030NjYiL+/P6tXr8bPz29QembPnk1wcDAymYwbbriBW2+99bjvP/DAA2zZsgW9Xs+cOXN4+umnMRqNXH311Xz11VeDqptxZXPTn5CQEGbNmsXBgwepqakhLS0Nd3d3oWWJnurqVqEl2IzubgPt7T34+EjPG3tiMBjIycmhp6eH6dOnu2yjgCNNzkMPPUR+fj6//PKLy16jXQWniOEqUaGU2fjPIA3TwoULue+++wBYuXIl1113HVu2bKGuro6NGzced9u33nqLKVOmsGHDBpYsWcIzzzwz6J9RrVazY8cOPvjgAy655JKTvv/www+zefNmdu3axa5du8jLy0OlUjF9+nR+/PHHMx5fLOamFzc3N7KysoiMjGTr1q1otVqnrB8SC41NnZhFNv23olI8KTdnpKamhk2bNuHn58eMGTNc1tz04oianNdee41///vf/Pvf/0aj0dj8+BLH4xQGx1nYsmVLXz500aJFbNq06bjvFxQUkJGRAUBWVhYbNmw46RgrV67k6NGjJ33dbDYzf/587rnnHnJycqirO37nj1qtBsBoNOLt7d03AO+CCy7gyy+/PK1usZmbXmQyGdHR0cyaNatvMV9PT4/QskRJebl40lO9FBXVYbFIptjWGAwG9u3bR1FREdOmTSMhIUFU1xx7mZwvvviC559/np9++glfX1+bHVfi1EgGpx/t7e19ha3+/v40Nx//CXDChAn89NNPAPzwww8nfR/gvvvuY+zYsSd9fceOHWzYsIG//vWvPPXUU9TX15+0zuHPf/4zCQkJhIWF9elISEg47W4rsZqb/vRGcyIiIqRojh0wmcwUFtUKLcPmlJU3oteLd6CoENTW1rJ582b8/PyYOXMmXl5eQkuyOfYwOevXr+cvf/kLa9asISwszAYqJQaDZHD64e3tTWdnJwCtra0nzSW46aab6OzsZN68eWi12iGNHA8KCgJg1qxZ1NfXk5SURFVVFW1tvw5Xe+GFFygpKaG5ubnPSJ2OkWBuepHJZMTExDBz5kyqq6ulaI4NMRjMaLXiS+doK5oQ8UvCoRgMBvbv309hYSFTp04VVdRmIGxpcrKzs1m2bBlfffUViYmJNlQpcSacwuCYMGKy2vgPQ//kNnv27L56l//85z/MmTPnuO+r1WpeeeUVNmzYQGJiIldeeeWgjqvX69HpdMCxNJe3tzcajYbExETKy8vp6urqm5OjVCrx8vLqK6otLi5m/PjxJx1zJJmb/ri7uzNlypS+aE5JSYkUzTlLlEo5WhF1UPWi1Tah0di2eWGkYbVaqaioYNOmTfj4+Ig2ajMQtjA5paWlXH755bz77rukp6fbQaXE6RC0i0qtVhMUEMTW5jMX0Q6HoICgvtqWwbBixQpuuOEGXn75ZdLT0/sMztKlS/nwww/JycnhT3/6E0qlktTUVJ5++umTjrFy5UoWLlx4XJqqqamJiy++GE9PT6xWK6+99hpwzOz8+OOPXHzxxTz11FPU1NRgNBqZPn068+bNA2DNmjUnGamRam566Y3mhIaGcvToUTZt2kRqaqo0CXSYqNVKUSzZPJGmpk4MBpNkcoZJe3s7hw4dQqVSMWPGDDw8PISW5HDOpruqsbGRCy+8kCeffJLf/OY3dlYqMRAyqwM//prNZgoKCkhKSup7kgg56G/nzp3cfPPNLFmypK+TSgiam5uprq4mOTkZlerXi/FAbeLDNTcDPfZiobm5mUOHDuHj48O4ceOk7oQh0t7ew6VXvOiw8y1flsjq94sccq7Vb99EXJxwu+BcEaPRSF5eHvX19YwfP57Q0FChJQmO1WolNzeXtra2QZmcrq4u5s6dy/XXX88dd9zhIJUSJyL4JCw3NzfBBvFNnTr1tAW8jiIgIACTyURhYSHJycl9Lx6VSsU333zTd7uRHrk5FQEBAcyZM4eysjI2b95MQkICcXFxTrNzy9kRczt1cXE9sbFB0mtlEFitViorK8nLyyMmJoa5c+eK7sPQcBlKJMdgMHDppZeyYMECydwIjPQO4CSEhITg5+dHQUHBgLleydycHplMRnx8PLNnz6atrY3Nmzef1KUmcTIWi1WUHVS9lJQ2YDCYhJbh9LS3t7Nt2zZqamqYMWPGcR+0JI4xmJock8nE5ZdfTlxcHE8++aQAKiX6IxkcJyIiIgIfHx8KCwuPe/FI5mbwaDQaJk2aRGpqKjk5Oezbt4+uri6hZTkter2RsjLxFRj3Uq5twizNwjklOp2OgwcPsmfPHkaPHk1WVtaIrLUZLKczOSaTiSuuuIKQkBDefPNN6TrtBEgGx8mIiIjAy8urz+RI5mZ49KatgoOD2bFjB4cOHXL4RndXQCaTiWrJ5olUVDShkXZSnYTRaCQ3N5ctW7bg5eXF3LlzpVqbQTKQyTGbzVx99dX4+vryzjvvSOlxJ0H6LTgZMpmMyMhIPD09KSoq6os+SOZm6PR2W82bNw9PT082b95MXl4eRqM0/K0XjUZcSzZPpLqmVWgJToXZbKa4uJiNGzcik8mYO3cuCQkJUjpqiPQ3OTt27OCaa67Bzc2N9957TzI3ToTgH22E7KJyVmQyGVFRUVRUVFBZWUlSUpJkbs4ChUJBQkICMTExFBUVsXHjRkaNGkVcXNyIv7AbDCaam8WbwjObLTQ2dhAaOrJH4/fOsykoKCAkJITZs2dL3YZniUwmIykpiSuvvBKlUslHH3004q8nzoagBken0xEdHUNjY4Ndjh8UFExFhdZlTU50dDSVlZUUFBQwevRo6cVzlqhUKsaMGUN8fDz5+fls2LCB5ORkoqKiRqyBFNMG8VNRVtY4Yg2O1Wqlrq6O3NxcfHx8mDZtmssvxXQWzGZzX+Tm448/lq7PToigBsdgMNDY2MC0mfehVNr204TJpGfH1pUYDIZTGpyNGzeyePFi7rjjDu677z4eeeQRPv/8c0JCQvD19eW777477vY7duzgnnvuQa1WI5PJ+Oijj4iKihqUnocffpi1a9eiUql46aWXSE1NPe77t912W9+SzpycHN577z0uuOAC7rjjDl588UUKCwslk2Mj3NzcSEtLo7Ozk7y8PAoLC0lMTCQqKmpEhZetVislJfVCy7A7hcV1TJ4ch0o1cl47VquVmpoaCgsL0Wg0TJ48WVrwaEN6C4q9vb354IMPpOuykyJ4igpAqdSgVAoTZVm4cOFxQ/4eeughrr322gFvm56ezvbt2wFYvXo1r7zyCitXrjzjObKzs9m/fz/btm2jqqqKpUuXsm7duuNu0zvd2GQykZKSwrnnnotKpWL69OkcPHiQSZMmiXZQn1B4eXmRkZFBR0cHRUVFFBQUEB8fT2xsLEqlU7w07IrBYKK4VPwGR6ttwmgyjwiDY7FYqKyspKioCG9vb9LS0vDz8xNalqgwGAxcfvnlBAcH884770jXYydm5HxcHSQrV65k5syZfPjhhyd9r//ah/b2dtLS0ga8f28kppeCgoK+PSSRkZGUl5efsqPn559/ZtasWX1RpwsuuICvvvqKyMhIfHx8KCgowGSS5nrYEm9vbyZNmsSMGTPo7u5mw4YN5Ofni74Y2WKxotWKf1ZQubYRlVLclzqTyURxcTHr16+nqamJrKwsMjMzJXNjY3Q6HYsWLSIsLIx3331XMjdOjrhf9UPkT3/6E9nZ2fz444+8+uqrFBQUnHSbn376iczMTF5//XUyMzNP+v5999133B4qgPHjx7NhwwaMRiOHDx+mvLyclpaWATV88sknLFmypO//CQkJ5OTk9HVX+fv7k5+fb7fC7JGMu7s7EyZMYPbs2VitVjZs2MCRI0f6FqWKDbVaOSIMTkVFMyqVOCNyBoOB/Px81q9fT09PDzNmzGDSpEkjZiGmI2ltbeWcc84hKSmJt956a0Sls10V6TfUj8DAQAB8fHw477zzOHjw4Em3Of/889mzZw9PPfUU999//6COO3bsWK655hoWLFjAqlWrmDBhAsHBJ+/H6ezsZPfu3ZxzzjmnPFZYWBihoaHk5+fT09MzyJ9MYihoNBpSUlKYN28eGo2GLVu2kJ2dTVtbm9DSbM5IaKPW6Yy0tnULLcOmdHZ2kpOTw8aNG7FarcyZM4fx48fj7u4utDRRUllZyaxZs1i0aBEvvPCCZG5cBHF+rBkmbW1t+Pr6Yjab2bZtG5dffvlx39fr9X2tlX5+fgNeTFpaWqipqcFqtWK1WlGpVCQlJXHbbbdx2223kZuby1/+8he6u7vx9vYGoKysrG9z7yWXXIJMJmP//v2MHTuW4uJixo8ff9w5goKCUCqVFBYWMmrUKOnTmp1QqVQkJiYSHx9PdXU12dnZKBQKRo0aRVhYmMtf5BoaO7CMkCm/lRXN+Pm69oReq9VKfX09JSUl9PT0EB8fzznnnDMi6sWEJDc3l0suuYQHHniAG2+8cVD3+frrr3niiScwm83odDoiIiJYu3btSdeMuXPnUl5eflwB+D//+U/OO+88m/4MIxWneGWYTLafMDucY95zzz0cPXq0b5/IxIkTAVi6dCkffvghX375ZV9oUqVS8dZbbx13f4PBwMMPP8zy5cv77ts7qG/+/PlYrVaCgoJ45JFH6Ojo6MuZn3vuuX1zFB5//HG6urpQKpW4ubmxZs0arrzyypO0+vn5oVQqKSkpISYmRsq12xGFQkF0dDTR0dE0NzdTWlrKkSNHiI6OJjY21mU/NZeV2Wc8gzNSWFTL2LERLmlK9Xo9FRUVlJeX4+XlRWJiIkFB0gJRR7Bt2zYWL17Mq6++ysUXXzyo+9TU1PD73/+effv2ERsbC8D+/ftP+ft6/vnnufTSS20lWaIfghoctVpNUFAwO7aeuRNpOAQFBR9XGHwibm5ubNu2jZUrV3LffffxzjvvDHi73oLjJUuWHFcfcyImk4nly5czYcKEvq/1zpzo3zXV1NREY2MjEydO7IvS+Pj48MknnxAUFERNTQ3e3t4YjUa2b9/OPffcM+D5vLy8GD16NEVFRRiNxgHTXhK2JSAggICAAPR6PVqtlm3btuHt7U1cXBwhISEu86ZjMpkpKqoTWobDKC9vQq834e5+6uuBM2G1WmlubqasrIzm5maioqKYNm2atCfKgXz33Xfccccd/Otf/2LatGmDvl9dXR0KhYKAgIC+r02ePNkeEiXOgKAGx83NjYoKrWCTjKdOnUpOTo7Nzufu7o6XlxeHDh3C29sbLy8vAgICTjJZ3t7elJeXY7FYaG9vx9vbG29vb5qamggKCqKjo4OAgABUKhXffPPNGc+ZnJzc110VHh5us59H4tRoNBpGjx5NYmIiDQ0NlJWVkZOTQ0REBFFRUfj4+Agt8bQYjGbKR0CBcS/l2iaXMJ9dXV1UVlZSWVmJu7s7cXFxTJo0ySUjT67MO++8w5NPPsmaNWtOaho5E6mpqcycOZPY2FjmzJnD9OnTWbx4MZGRkQPe/q677uKRRx7p+/9XX31FQkLC2ciX+B+Cp6jc3NxcctLwQMhkMhITE+np6aGzs5O2tjZqamoYM2bMcT+jWq1GpVLR1dVFZ2cn/v7+eHp69pmezs5O4uLiBn1etVpNSkoKhYWFGI1GoqOjXeJiLgZkMhkhISGEhISg0+morq7mwIEDWK1WoqKiiIyMdMoUlkopR1sxcgyOtqIJNzeV0DIGxGAwUFVVRWVlJSaTSYrWCMyTTz7Jxx9/zKZNm4iOjh7y/eVyOV999RV5eXls2rSJNWvW8MQTT7B3714SExNPur2UorIfghscMeLu7o67uzvBwcEUFBTQ2tpKU9OxN5OAgADCw8Px9vamo6ODjo4OoqOjUSgUqFQqWlpaUKlUp02tDYRSqSQpKYmSkhJKSkoYNWqUZHIcjJubG6NGjWLUqFF0dnZSWVnJ9u3bcXd3JyoqivDwcFQq53iTVamUot4ifiItLV306Ay4uzlHispsNlNbW0tlZSXt7e1ERESQmpoqTRsWEIvFwl133cWuXbvYunXrcSmm4ZCSkkJKSgq33HIL559/Pl9//TX/93//B8BVV13FAw88YAvZEqdBMjg2xGAwYDAY+rqaTCZT36qIcePGHXdbb29vqqurUSqVfcOivLy8qK6u7uuuGioKhYLExETKy8vJz88nISHBad5QRxpeXl6kpKSQnJxMS0sLlZWV5OXl4e/vT2RkJMHBwYL+blpbu9DpxD3I8ESqq1tJGBUi2PnNZjMNDQ1UV1fT2NhIcHAwCQkJBAYGSh9GBKarq4vFixdjNptZv379WUXPqqqqKCsrY8aMGcCxztrS0lKSk5PJzs62kWKJwSAZHBtitVqprq5Gr9f35cwDAwMH7HDy9vZGr9fj7+9/3Ndqa2tPmasdDDKZjNjYWOrr68nLyyMhIUEKdQuITCbrK0weP348DQ0N1NTUcPjwYby8vAgLCyMsLMzhv6OKyoEHTYqZ4pJ6RsUHO9RM6HQ66urqqK2tpbW1laCgIMLDw0lLS5Om4DoJpaWlXHrppVxwwQU88cQTZ/17MZlMPPbYY5SWluLh4YHJZOKGG25g0aJFA97+xBqcv/zlL6dtZpEYPIIbHJ1OJ1iRsa3RaDQkJSUN6rZqtZqMjIzjvubr63vS14aDTCYjNDQUNzc3ioqKiIqKkkLfToBcLic0NJTQ0FCsViutra3U1taya9cugD6z4+fnZ9c3YYvFQmFhrd2O76yUltRjmJWMRmO/yJnVaqWjo4Pa2lpqa2sxGo2EhYWRmJiIv7+/VCzsZKxfv54bb7yRp556isWLF9vkmLGxsfz888+Duu3GjRttck6JgRHU4Oh0OqJiYmhqsM88jsDgYCq1WtEUMQ8VX19fkpKSKCoqoqurC6t1ZAx1cwVkMhn+/v74+/szZswYuru7qa2tJTc3l87OTkJCQggKCiIoKMjmz1+93kS5ttGmx3QFtBXNdhlsaDAYaGxspLGxkfr6etzc3AgLC2PSpEnDTjdL2J9XXnmFZ599lq+++somHywlnA9BDY7BYKCpoYHRtz2EXGPbi7hFr6Pwtcf6amAGYuPGjSxevJg77riD++67jx07dnDvvfeiVCq5+OKL+ctf/nLc7f/973/z3HPPAdDQ0EBycjJff/31oPRceOGF7N69m3vvvfe47eUA7733HrfddtuAqxcGut/atWs5dOgQd9999xnP6+bmRkpKCsXFxTQ2NhITEyNNPnZCPDw8+gqUjUYjDQ0NNDY2UlBQ0DcgMjAw0CaGRyaTjagW8V7KtY2o1Wd/yes1NL3zrMxmc58ZTU5O7pt2LuGcmM1mbrvtNg4cOMD27dul0RoiRvAUFYBc44bCxgZnsCxcuLDPONx555188803REZGsmjRIhYtWnRcymnhwoUsXLgQgD//+c9MmTJl0Od56623WLt2LbW1x6cGdDodX331FTExMYO+34IFC3jqqae44447BjWmXalUkpCQQFNTE/Pnz+fzzz/vm7Ap4XyoVCoiIiKIiIgAjk2y7X0zPdHwBAYG4ubmNqSUlpubiooRaHBqa9sYTvym9/EfyNAkJiY65RgAiYFpamriiiuuICoqis2bN4/Y6P5IwSkMjrPQ2dnZV+CbkZHBxo0bB6ypMZvNfP/99zz55JMnfW/lypUsXLjwpOFQUVFRA57zpZde4g9/+AP33nvvgN8/1f0mTZrE1q1bmTt37ul+pD56UyK33347c+bM4cMPP2T27NmDuq+EsGg0mlManqKiIgwGAz4+Pvj6+uLn54efn99pTU9Pj4GWVnEtnxwMFouVhvp2wsP9TnkbnU5HW1sbra2ttLa20t7e3jeVVjI0rk1OTg5XXHEFt9xyC3fffbfUuTYCkAxOP/z9/Tl8+DDJycn897//5cILLxzwduvWrWPq1KkDdr6cmH46HS0tLWzevJkVK1ac0uCcioSEBHJycgZtcHpZvHgxSUlJXHPNNdx333384Q9/GNL9JYTnRMNjNptpb2+nra2Nuro68vPz0ev1+Pj44Ofnh6+vL76+vnh4eCCTyUbEBvFTUVbeSHi4H1arlZ6enr7HrbW1lba2NlQqVZ9RHD16ND4+PtIySxHw9ddf8+c//5k333yTCy64QGg5Eg5CeuX246233urb+xQXF9f3BnIin3zyiU0q7p966ilWrFhx1scZKlOmTGHbtm1ceumlbN++nTfeeENqJXdhFApFX8FyL2azmY6ODlpbW6mvr6e4uJju7m6USiXdPRZmTA+htdVAS6ue1lYD3d1mAX8C++HmpsDfT42fnxp/PzVVlYWsX6/FaDTi7u6Ot7c3vr6+kpkRKSaTiRUrVvDjjz/y3//+l+TkZKElSTgQ6dXcj3HjxvHTTz9hNBq54oorBnT6PT09bN26lXffffesz1dQUMCTTz7Jk08+SWVlJddffz0fffTRoO5bXFzMRRddNOxzR0ZGsm3bNu677z6ysrL49NNPj1sSKuHaKBSKvnRVfzo7u/n88200Nurw91MTHeWBv58GD08FXV0mOjqMdHaZ6O4y0dVtoqvr1z89OucyQRqNHC9PFZ6eSjw8lHh6/u+PhxJvbxXeXkp0OjMtrYb/mTkD2goDCxbMwtfXU0pRiJyysjKuvfZaEhMT2bt3r9RcMQJxCoNj0euc4pjPPPMMP/74I3K5nHvvvbdvO/fSpUv7Nor/+9//5vzzzz/lJ71T1eD88Y9/ZOPGjRgMBg4ePMinn37Kt99+2/f9lJSUPnPT/xgD3Q9g//79PPXUU0P+GfujVqt57rnn+M9//sNFF13E3/72N2699dazOqaEc6NQKCkqaSW/oP2k73l6HjMGnv8zC76+aiLCPfpMg5u7AqsFurtN6HRmDEYLRqPl2N+Gfv82WjD87/8mswWrBawcmxGDFeRyGaGhx2qEZIBMBgqFDLVagUolQ6069rdKrUCtkqH63//VagVubnI8PJTI5TL0evMx89XPiFVXd9PdbaKj00hHh+mkn9FodMPT010yNyLniy++4J577uGxxx5j2bJlQsuREAiZ1YHDUcxmMwUFBSQlJaFQKASfg7Nz505uvvlmlixZMqTaGaFZu3YtBw8e7EunDYYTH/sTqays5OqrryYqKorVq1dLn3ZEisViYemyt4ZdhyOXg4e7Ejc3BSqVHJVajlolR6WSo+73796vKxTHjIRMJkMmO2ZmYmO9KC/vxGrlf3+smC3WX02S4WSj1PtvvcFMd5cZ8zDn2Wg0StZ8P7R6NwnXwWAwcOedd7Jlyxa++OILxowZI7QkCQERNILj5uZGpVYr2CTjqVOnkpOTY5dz25MFCxawYMECmx6zt23y4YcfJiMjg48//lgafiVCLBYrtXVtZ3F/6Owy0dl1cnRksCxflsgPa6qGff+zQa830dLShb+/pyDnl7AfhYWFXHvttUyePJk9e/ZI3W4Swqeo3NzcpFkEToJSqeSJJ55g3rx5XHHFFdx5552DGiYo4TrUN7TbZZqvK6GtaJIMjsj4+OOP+dvf/sYzzzzDtddeK7QcCSdBWowicRILFixg165dfP/99yxatIjW1lahJUnYiLKykbei4USKiuowmy1Cy5CwATqdjuXLl/Pcc8+xceNGydxIHIdkcCQGJCwsjLVr15KZmUlmZibr1q0TWpLEWWI0migsqhNahuCUlTdiMAw/xSbhHOzfv5+srCy8vb3ZsWMHCQkJQkuScDIET1FJOC9yuZwHH3yQ+fPns2zZMubOncvzzz8vzcxxUUwmCxUVI29Fw4lUVDQjl0tdVK6KyWTi73//O//617949dVXTzmQVUJCiuBInJFp06aRnZ2Np6cnkyZNYv369UJLkhgGSqViRC7ZPJFybSMajUpoGRLD4MCBA2RmZlJVVcWBAwckcyNxWgSP4Oh0OsG6qCQGj7u7O8899xxXXHEFN954I+eccw7PPfecFM1xIZRKOZWVzULLEJy2th66ewx4uKuFliIxSEwmEw8//DCffPIJr7zyChdffLHQkiRcAEENjk6nIyo2hqZ6O83BCQmmsvzUc3Akhs6MGTPIzs7m/vvvZ9KkSbz55ptD3oclIQytrd3o9VLtCUB1VQuJiaFCy5AYBAcOHGD58uWMHz+eAwcOHLeSRELidAhqcAwGA031DcS8+hfk7hqbHtvSo0f7x2cwGAynNDgbN25k8eLF3HHHHdx33328+eabrFq1CoVCQV5e3nG3bW5uJjExkddee+2kSv3T3e907Nq1i5tvvpmCggLKysoICwsDYM2aNTz00EOoVComT57MK6+8ctJ9f/75Z55++mksFgtXXHEFt99+Ow899BCLFi0iPT190BqGg4eHBy+88AJXXnkly5cvZ8GCBaxatUqK5jg5Wqn+po/iknoSEkKkicZOjMlk4pFHHuHjjz/m5Zdf5pJLLhFakoSL4RQ1OHJ3DXIPN9v+GaRhWrhwYd8U48suu4yjR48OeLunnnqK6dOnD/i9093vdIwZM4Zt27YxderU477+yCOP8PXXX7N9+3aKi4s5dOjQcd9vbGzktdde46effmLDhg3cfvvtANx66608/fTTQ9YxXGbOnEl2dnafEdu0aZPDzi0xNMxmC4WFUgdVLyWlDVI0y4nJzs4mMzOT0tJSDhw4IJkbiWHhFAbHWQgJCUGlOrn4UKvVUlNTc8rJvqe6X3+WLl160td8fHzw9vY+6evjx4+ntbUVs9lMT0/PSSHZH374AT8/Py6++GIuvPBC8vPzAQgPD6eyshKdzva7vU6Fh4cHL774Im+//Ta/+93v+P3vf09b2/An5UrYB4PBRHm5NAOnF622EQduqZEYJDqdjvvuu49Fixbx6KOP8sknn0gpKYlhIxmcQfDoo4/ywAMPnNUxepd1DobFixdz3nnnkZKSQnJyMtHR0cd9v7q6mpKSEr7//nsef/zx4xZkRkVFUVhYeFZah8OsWbM4ePAggYGBpKam8vbbb2OxSMPUnAW5XCalqPqh1Tah0QjeYyHRj6+++ooJEybQ1tZGdnY2CxcuFFqShIsjGZwzkJOTg0wmc+jStttuu409e/ZQWFiITCY7bus4QEBAAPPnz+9LDdXU1DhM2+nw8PDgqaee4r///S+ff/45M2fO5MCBA0LLkgA0GpXUIt6PunppZYWzUFhYyPnnn8/KlSv57LPPeP3116WojYRNcIqPMJYevdMec9++BPcF/QAAF0lJREFUfeTn53P++edTVFSEl5cXKSkpTJw40SbHHwiFQoGfnx8AwcHBNDUd/8Y0d+5c7r332EbksrKy4y4GlZWVjB492m7aBkNSUhK//PIL33zzDZdffjnnnnsuTz/9NL6+voLqGsl0dxtob+8RWobTYLFYqatvJzJCeiMVCp1Ox8MPP8ynn37KI488wrJly5DLpc/cErZDUIOjVqsJDAlG+8dn7HL8wJBg1OrBz7r47rvvePnll6moqGDBggU888wzLFu2jGXLlgHHin97zU12djbr16/n7rvvHvB+kyZNOu7YS5cuPSlNVVZWxu9+9zsOHjzI1VdfzfLly1m2bBmPPvoo55xzDhqNBn9/f/72t78dd4zk5GRmzpzJ7NmzMZlMvPDCCwDU1tYSGRnpFG3xMpmMyy+/nPPPP5/HH3+c1NRUHnzwQW666SbpIiYAVdXS/JsTKS1tkAyOQHz11Vfcd999/OY3v+HgwYNSxEbCLsisDqy0M5vNFBQUkJSUhEKhAIQd9Ldz505uvvlmlixZ0tdJ5co89NBDLFy4cMBi6IEee0dSWFjIH//4Rzo6Onj11VeZPHmywzWMVKxWKz//ksPTq34UWgoAy5clsvr9IqFlcMP1M/nttVNRq50ikD0iKCws5E9/+hPNzc28+eabJ30QlJCwJYK/st3c3ASLOEydOpWcnBxBzm0PHnvsMaElnJLRo0fz888/8+2333LllVeyYMECnn766b5UnIT90OtNlJTaZ5imK1OubcRksjCEIK/EMOnu7ubRRx/l008/5dFHH+WGG26QIrkSdkd6hkk4DJlMxmWXXcbhw4cJCQlhwoQJPProow5tax+JWK1WacnmAGgrmlGrHR/NHEn0ptDHjh1LV1cXBw8e5MYbb5TMjYRDkJ5lEg7Hw8ODxx9/nN27d1NVVcWYMWN4+eWXMZvNQksTJRqNUuqgGoDKymYUCukSaA8sFgsfffQR48aNY8eOHaxbt45XXnlFqrWRcCjSq1tCMMLDw3nrrbf45Zdf2LRpE+PHj+f//u//pPk5NsZisVJXJw1fPBGDwURzS5fQMkTHTz/9RGZmJh988AH/+te/+Oyzz0hISBBalsQIRDI4EoIzevRovvzySz7++GPeeecdpkyZws8//yy0LNFQV9eGNLR3YCqkyJbN2LVrF/PmzeOBBx5g1apVrF27VioilhAUwYuMheyiknAu0tPTWb9+PevWrePee+/lmWeeYeXKladckSExOEqlAuNTUlBUx4QJ0VKq6izIz8/nvvvu4+jRozz55JNcfvnl0hJTCadAUIOj0+mIiYumoc4+O3KCQ4PQllVIJsfFmD9/Pvv37+eLL75g8eLFTJgwgSeeeIKUlBShpbkcBoOJouJ6oWU4LVptIwaDCXd3qZVqqFRUVPDQQw+xYcMGHnjgAb744guUSsE/M0tI9CHos9FgMNBQ18jtv5yPxtO2UvRdJl459ycMBsMpDc7GjRtZvHgxd9xxB/fddx9vvvkmq1atQqFQkJeX13e7p556im+++Qar1crtt9/ODTfccNKxVq5cydq1azGZTDz++OPMnDnzjBo3bNjA/fffj1qtxtPTk48//piAgAAeeOABtmzZgl6vZ86cOQNuCH/sscf45ZdfcHNz4/333ycqKoqHHnqIRYsWkZ6ePoRHyjmRyWRcffXVXHbZZaxevZoLL7ywb1igFNEZPCaTRSowPg3l2ibkcinaMBTy8vL4xz/+wZYtW7j99tt57bXXcHd3F1qWhMRJOEVcVuOpROOlsu2fQRqmhQsX9g35u+yyyzh69Ohx3+/u7ub9999n586dbN68mX/84x8nHWPNmjV0d3ezdu1aNm7cOChzA5CYmMiGDRvYtGkTCxcu5OWXXwbg4YcfZvPmzezatYtdu3YdZ7YAjhw5wrZt29i6dSt//etfefDBBwG49dZbBzRDroxKpeKWW26hoKCAK664gqVLl7JgwQLWrVsntDSXQK1WSC3ip6FC24RGoxJahkuwe/duFi1axEUXXcSMGTPIz89nxYoVkrmRcFqcwuA4CyEhIahUx1/s3NzciIqKoqenh87OzgEH033++ed0dXUxf/58li1bRkdHx0m3Wbp06Ulfi46O7osuqVSqvgnDvesljEYj3t7ehIeHH3e/LVu2cPHFFwOwYMEC9u3bBxzrSqqsrBTlXBmlUsn111/P4cOH+yJuU6dO5auvvpK6rk6DQiGnolJa03Aq2jt0dHXZfheemFi7di3z58/nxhtv5KqrriI/P5/bbrtNMjYSTo9kcM6AXC7n3HPPJTk5mbS0NP785z+fdJvq6mpUKhXr1q1j4sSJPPvssyfd5sQ9VP1paGjgtdde46abbur72p///GcSEhIICwvD29v7uNs3Nzf3zZOQyWTHzY+JioqisLBwqD+myyCXy1m4cCG7d+9m5cqVvPbaa0ycOJHVq1dLc3QGoLmlC6NRelxOR1V1i9ASnA6LxcIXX3zB1KlT+dvf/sadd95JTk4O1113nVRnI+EySAbnDBQUFPDtt99SXFxMcXExr7zyCnV1dcfdJiAggPPPPx+A888/n0OHDg36+J2dnVx99dW89tprx0VqXnjhBUpKSmhubuann3467j7+/v60trYCx6bUCrFbSmhkMhlz585l3bp1vPfee/znP/9hzJgxPP/88+j10ifyXrRS/c0ZKSqqw4Er+Zwas9nMu+++S1paGm+88QYrV65k9+7dLFy4UJo+LOFySM/YM2C1WvHx8UGj0eDu7o5araazs/O428ydO5e9e/cCsHfvXhITEwd1bIPBwFVXXcU999zDlClT+r7e+watVCrx8vI6KRQ8e/Zs1qxZAxwrVO5fVFxZWcno0aOH/oO6MOnp6XzzzTf8+9//Jjs7m6SkJO69916qqqqEliYoZrOFwqK6M99whFNW1ohebxJahqA0NTXxyCOPkJSUxA8//MD777/PunXrmDt3rtTyLeGyOIXB0XeZ0Hcabfuna+gXrO+++44FCxZQUVHBggULOHDgAMnJyUyePJlp06YxZcoUZs+eTUJCArW1taxYsQKAZcuWcfDgQebNm8cnn3zCX/7yl5OOPVANzurVq9m1axerVq1i7ty5rFy5EoCbbrqJuXPnMmPGDEJDQ5k3b95xxxg3bhyZmZnMnDmTJ554om/JZm1tLZGRkSO2LT4lJYUPPviAnTt34uXlxbRp07j00kvZuHGj0NIEwWAwUV5unxEMYqJc2zhiIzh79+5lyZIlpKWl0dnZydq1a/n6669F0YkpISGzOvCVbTabKSgoICkpCYVCIfgcnJ07d3LzzTezZMmSvk4qV+ahhx5i4cKFA7ZRn/jYjwQMBgNfffUVL774Ij09PSxfvpzf/e53eHp6Ci3NIej1Ru5d8S+OHHWuSNbyZYmsfr9IaBl9hIb48MlHt46YdnGDwcDHH3/M22+/TWdnJ3feeSeLFy/Gw8NDaGkSEjZF0GoxNzc3tGUVgk0ynjp1Kjk5OXY5txD0RnIkjqFWq/ntb3/Lb3/7W/bv388rr7xCUlIS5513Hn/6059EP0Zeo1GhlVrEz0h9Qztmsxm5XNzFs4WFhbz44ot89913TJ8+naeffpqZM2dKKSgJ0SL4K9rNzW3EplQkHMfkyZNZvXo1bW1tfPzxx1x33XV4e3tz4403csMNN4jyOdjZqaOjQ3wjA2yN1Qq1de1ERwUILcXmmEwmPvvsM9555x0qKir4/e9/z/79+wkODhZamoSE3XGKGhwJCUfh6+vLH//4Rw4fPszzzz/Pli1bSEhI4Nprr+XHH38U1Uydaqn9edCIaV+XxWJh06ZN3HjjjcTFxfHFF1/wwAMPUFBQwIoVKyRzIzFikAyOxIhEJpMxbdo0Pv74YwoKCrjkkkt44YUXiI+P59Zbb+3rinNVrFYrhcVSB9VgKSquw2Bw7U6qI0eOcPfdd5OcnMwDDzzA9OnTycnJ4dtvv2XBggVSm7fEiEPwFJWEhNB4enqyZMkSlixZQn19Pf/617+45ZZb0Ol0LFq0iJtvvpn4+HihZQ4Jvd5EWanUQTVYKiqaMJktuNrKzZqaGlavXs1XX32FTqdj6dKlrFu3jpiYGKGlSUgIjuAGR6fTCVZkLCFxIiEhIdxxxx3ccccdFBYW8tFHH7FgwQJCQkK46qqruOGGGwgMDBRa5hmxWq2USwXGg6Zc24Ra5RrdhZ2dnXzyySd89tlnFBUVcfXVV/P++++TmpoqtDQJCadCUIOj0+mIj4+ittY+F+KwsEBKSyslkyMxLEaPHs1jjz3Go48+yu7du/nggw9IS0sjOTmZ8847j2uuuYbY2FihZQ6IRqOiQppiPGiqqlqcOoVTV1fH559/zo8//sjBgwc599xz+fvf/87s2bNHzNgHCYmhIqjBMRgM1NY2Ub4vDh9v215c2jssxKaXYTAYhm1wVqxYwebNmwG49NJLue+++9DpdJxzzjmoVCp0Oh1PPfUU55xzznH3a2pqYunSpbS3t5OZmclzzz131j+PhHDIZDKmTJnClClTeOmll9i+fTvffvst8+fPx8vLi3POOYerr76arKwsp3mTNJvN1De0Cy3DZTAazTQ3dxIU5H3mGzuIgwcP8tlnn7F27Vrq6uq48MILueuuu5gzZw4ajUZoeRISTo/gKSoAH285Pt7CfArp7OzEy8trwO/dfPPNPP3001gsFmbOnMm1115LbGwsmzZtQqVSUVJSwuLFi9m5c+dx91u5ciXXXXcdv/3tb1myZAkbN25k7ty5DvhpJOyNUqlk9uzZzJ49m+eee478/Hy+++477r77bqqqqpg9ezaXXnopF110kaCRw9q6dkbocN5ho61oEtTgmEwmfvnlF7755hs2bNiAt7c3l156KW+//TapqanSvBoJiSHiHB83BWThwoUsXbqU//73vye1CPfudJLL5SiVSpRKJTKZDJVKBUB7eztpaWknHXPLli1cfPHFACxatIhNmzbZ+aeQEIrk5GRWrFjB9u3b2bdvH7/5zW/4+OOPiY+P54ILLuCll16ioqLC4bpKSusdfk5Xp7CwFpPJsZvX6+rqePvtt7n00kuJiYnh5ZdfJiMjg82bN3PgwAEefvhh0tLSJHMjITEMnCKCIyTr16+nsLCQTz75hCeeeIKsrCxuvvnm4xZWfvbZZ8TExBAVFQUc2/l01VVXUVBQwOrVq086Znt7O97exz4J+vv709zc7JgfRkJQgoKCWLp0KUuXLkWv17Np0ya++eYbXn31VcxmM1lZWcydO5cLLriA6Ohou+kwGEwUF0kGZ6iUa5swGMwolfaLJtfV1bFmzRo2btzI7t276enpYd68edx444188sknI2aNiISEIxjxBgeORWp+//vf4+3tzVtvvcW4ceP6DM7mzZt5++23+c9//tN3+7CwMLZs2YJWq2Xu3LlcdNFFxx3P29u7L/XV2tpKQID4JqRKnB6NRsO5557LueeeCxx7Y9u0aRPr1q3j2WefxWKxkJWVxZw5c7jwwgv7zLMtMJst0oqGYaDVNqFQ2Dao3dDQwJo1a9iwYQO7d++mu7ubOXPmMH/+fB577DGpnVtCwo6MeIPz3nvv8eWXX+Lh4cHixYvJyclBrT42DSM7O5u//vWv/PDDD7i7uwPHCqNVKhUymQxvb+8B63dmz57Njz/+yNVXX81//vMfli9f7tCfScL5CA0N5eqrr+bqq68GjkUBew3PqlWrsFqtfYbnN7/5zVnN3VGpFGilDqoho61oQqM5u0tiVVUV69at6zM0XV1dfYbm0UcflQyNhIQDcQqD095h+/H4gz2mTqfjo48+GjDK8oc//IH29nYuv/xyAF544QXUajV/+MMfUCgUGI1Gnn32WeCYGVq/fj133303K1as4IYbbuDll18mPT2dOXPm2O4HkxAFYWFhXHPNNVxzzTXAr4Zn7dq1vPzyyzQ1NZGUlMT48ePJyMhg5syZjBo1alBdWnK5nCppTcOQ6ezU09mpw8trcMXhFRUVbNmyhT179nDo0CHy8/Px9PRkypQpLFiwgEceecRpxwhISIwEZFar43otzGYzBQUFJCUloVAopDk4DuTEx17CudHpdOTk5LB371727NnD3r17aWxsJDExkQkTJvSZnoSEhJNMj8ViceoIztGjexk7NkNoGQMSGRmAaoCBf+Xl5WzdupXdu3dz+PBh8vPz8fLyIiMjg8zMTDIyMpg4caJUQyMh4UQIanBAmmTsKCSD4/ro9fqTTE9DQwPx8fGMGjWKhIQExo4dS2JyCuqAYJRKpwjQnkTxgb0kTHI+g2OxWNA3N1BSkE9ubi5FRUWUlZVRWFiIr68v6enpZGVlkZ6eTlpammRmJCScHMENjoRjkB57caLX68nPz6egoID8/Hzy8vI4mptLVWUlXl5exMTGEh8fT2JiIiljxjB+/ATCIyIEHUi4ecN6Zs8758w3tBP1tbXkHDlM3tFcCgsLKCsro7y8nNaWFsLCw0lJTmbs2LEkJyczevRoxowZg4eHh2B6JSQkhodzfsSTkJAYFBqNhtTU1AH3EDU1NVFYWEhBQQF5eXl89MEHFBQU0NDQgI+PDyEhIQQHBxMSEkJoaChRUVFERUURExNDbGwsPj4+dtEsk8nw0Nh+rWVXVxdarZby8nIqKiqoqqqitraWuro6GhoaaGxspKWlBX9/f5KSkkhJSWHqlCksvf56kpKSCA4OlubNSEiICIcaHOniITzS72DkEBgYSGBgIFOnTj3u61arlZaWFmpqavr+VFdXc/jwYX755Reqq6upra2lp6cHT09PgoKCCAgIwNPTs++Pl5cX3t7eeHt74+Pjg7e3N76+vvj5+fX9rdFokMvlKBQKFApF378tFgsGgwGLxYLZbMZsNmOxWDAajbS2ttLW1kZrayvt7e20tbXR0dFBe3s7HR0ddHV10dnZSXd3N11dXbS0tFBfX09HRwdubm6EhoYSGRlJREQEkZGRTJ06lfDwcCIiIggPDycgIMBp1mlISEjYF4cbHJlMhtFolNIkDsZoNPY9/hIjG5lMRkBAAAEBAYwbN+60t+3o6KC6upqGhgY6Ojro7Ozs+7u9vZ2amhry8/Pp6OjoMyKdnZ10dnZiMpn6TIzFYsFisWC1WjGbzSiVSuRy+XF/lEolnp6efcapv3ny8fEhPDy87+teXl54eXkRHBxMeHg4vr6+0nNbQkLiOBxagwPH2mH1ej2RkZHSBclBWK1Wqqqq0Gg0hIWFCS1HQkJCQkLC7jjc4FgsFsrLy9HpdI487YjHzc2N2NhYKTwvISEhITEicLjB6aU3XC1hf2QymWRsJCQkJCRGFIIZHAkJCQkJCQkJeyF9rJeQkJCQkJAQHZLBkZCQkJCQkBAdksGRkJCQkJCQEB2SwZGQkJCQkJAQHZLBkZCQkJCQkBAdksGRkJCQkJCQEB2SwZGQkHAIX3/9Nenp6UycOJGUlBTOOeccLBaL0LIkJCREijQHR0JCwu7U1NQwYcIE9u3bR2xsLAD79+9n0qRJ0soWCQkJu+DQZZsSEhIjk7q6OhQKBQEBAX1fmzx5soCKJCQkxI6UopKQkLA7qampzJw5k9jYWC677DKeeeYZqqqqhJYlISEhYqQUlYSEhMPIy8tj06ZNrFmzho0bN7J3714SExOFliUhISFCJIMjISEhCOeffz7nnnsud999t9BSJCQkRIiUopKQkLA7VVVVbNu2re//LS0tlJaWkpCQIKAqCQkJMSMVGUtISNgdk8nEY489RmlpKR4eHphMJm644QYWLVoktDQJCQmRIqWoJCQkJCQkJESHlKKSkJCQkJCQEB2SwZGQkJCQkJAQHZLBkZCQkJCQkBAdksGRkJCQkJCQEB2SwZGQkJCQkJAQHZLBkZCQkJCQkBAdksGRkJCQkJCQEB2SwZGQkJCQkJAQHZLBkZCQkJCQkBAd/w/4o/MReI4pjQAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 640x640 with 1 Axes>"
       ]
@@ -1021,7 +1021,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -1045,7 +1045,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1055,7 +1055,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -1208,7 +1208,7 @@
        "70802                 E             1  "
       ]
      },
-     "execution_count": 57,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1221,7 +1221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -1230,7 +1230,7 @@
        "(32954, 6)"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1242,7 +1242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -1251,7 +1251,7 @@
        "(27525, 6)"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1264,7 +1264,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -1586,7 +1586,7 @@
        "70824                    1  "
       ]
      },
-     "execution_count": 60,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1599,7 +1599,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -1869,7 +1869,7 @@
        "max               1.000000  "
       ]
      },
-     "execution_count": 61,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1881,7 +1881,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -1908,7 +1908,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -1939,7 +1939,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1950,7 +1950,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -1959,7 +1959,7 @@
        "(27525, 22020, 5505, 27525, 22020, 5505)"
       ]
      },
-     "execution_count": 73,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1972,7 +1972,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1986,7 +1986,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2000,7 +2000,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -2008,205 +2008,205 @@
      "output_type": "stream",
      "text": [
       "Epoch 1/100\n",
-      "689/689 [==============================] - 3s 3ms/step - loss: 277.1355 - mae: 277.1355\n",
+      "689/689 [==============================] - 3s 2ms/step - loss: 276.7266 - mae: 276.7266\n",
       "Epoch 2/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 201.3140 - mae: 201.3140\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 202.5305 - mae: 202.5305\n",
       "Epoch 3/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 193.0296 - mae: 193.0296\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 192.7408 - mae: 192.7408\n",
       "Epoch 4/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 190.3919 - mae: 190.3919\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 191.4078 - mae: 191.4078\n",
       "Epoch 5/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 185.7986 - mae: 185.7986\n",
+      "689/689 [==============================] - 1s 2ms/step - loss: 185.8338 - mae: 185.8338\n",
       "Epoch 6/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 185.5227 - mae: 185.5227\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 185.8311 - mae: 185.8311\n",
       "Epoch 7/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 185.9093 - mae: 185.9093\n",
+      "689/689 [==============================] - 1s 2ms/step - loss: 185.6676 - mae: 185.6676\n",
       "Epoch 8/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 179.4578 - mae: 179.4578\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 180.3530 - mae: 180.3530\n",
       "Epoch 9/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 181.7191 - mae: 181.7191\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 180.7420 - mae: 180.7420\n",
       "Epoch 10/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 182.7274 - mae: 182.7274\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 182.9454 - mae: 182.9454\n",
       "Epoch 11/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 181.8087 - mae: 181.8087\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 182.7402 - mae: 182.7402\n",
       "Epoch 12/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 179.4889 - mae: 179.4889\n",
+      "689/689 [==============================] - 1s 2ms/step - loss: 178.4686 - mae: 178.4686\n",
       "Epoch 13/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 177.1631 - mae: 177.1631\n",
+      "689/689 [==============================] - 1s 2ms/step - loss: 177.1967 - mae: 177.1967\n",
       "Epoch 14/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 177.4075 - mae: 177.4075\n",
+      "689/689 [==============================] - 1s 2ms/step - loss: 178.6872 - mae: 178.6872\n",
       "Epoch 15/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 178.0261 - mae: 178.0261\n",
+      "689/689 [==============================] - 1s 2ms/step - loss: 178.1959 - mae: 178.1959\n",
       "Epoch 16/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 176.8997 - mae: 176.8997\n",
+      "689/689 [==============================] - 1s 2ms/step - loss: 176.7569 - mae: 176.7569\n",
       "Epoch 17/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 178.3401 - mae: 178.3401\n",
+      "689/689 [==============================] - 1s 2ms/step - loss: 175.4220 - mae: 175.4220\n",
       "Epoch 18/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 176.4716 - mae: 176.4716\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 177.4652 - mae: 177.4652\n",
       "Epoch 19/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 174.1295 - mae: 174.1295\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 175.6838 - mae: 175.6838\n",
       "Epoch 20/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 174.4241 - mae: 174.4241\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 173.7695 - mae: 173.7695\n",
       "Epoch 21/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 174.8053 - mae: 174.8053\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 174.1631 - mae: 174.1631\n",
       "Epoch 22/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 173.1234 - mae: 173.1234\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 173.8116 - mae: 173.8116\n",
       "Epoch 23/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 176.7260 - mae: 176.7260\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 176.3525 - mae: 176.3525\n",
       "Epoch 24/100\n",
-      "689/689 [==============================] - 4s 6ms/step - loss: 172.7771 - mae: 172.7771\n",
+      "689/689 [==============================] - 1s 2ms/step - loss: 173.7058 - mae: 173.7058\n",
       "Epoch 25/100\n",
-      "689/689 [==============================] - 4s 5ms/step - loss: 171.9459 - mae: 171.9459\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 173.1574 - mae: 173.1574\n",
       "Epoch 26/100\n",
-      "689/689 [==============================] - 4s 5ms/step - loss: 173.6126 - mae: 173.6126\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 173.1574 - mae: 173.1574\n",
       "Epoch 27/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 172.9954 - mae: 172.9954\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 173.4208 - mae: 173.4208\n",
       "Epoch 28/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 172.6946 - mae: 172.6946\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 172.2345 - mae: 172.2345\n",
       "Epoch 29/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 171.9696 - mae: 171.9696\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 172.3461 - mae: 172.3461\n",
       "Epoch 30/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 171.4625 - mae: 171.4625\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 170.6887 - mae: 170.6887\n",
       "Epoch 31/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 169.7158 - mae: 169.7158\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 171.0844 - mae: 171.0844\n",
       "Epoch 32/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 169.0158 - mae: 169.0158\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 169.5034 - mae: 169.5034\n",
       "Epoch 33/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 171.5303 - mae: 171.5303\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 170.6296 - mae: 170.6296\n",
       "Epoch 34/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 171.3669 - mae: 171.3669\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 170.9125 - mae: 170.9125\n",
       "Epoch 35/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 170.6131 - mae: 170.6131\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 168.9761 - mae: 168.9761\n",
       "Epoch 36/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 168.5104 - mae: 168.5104\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 169.8336 - mae: 169.8336\n",
       "Epoch 37/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 169.4960 - mae: 169.4960\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 170.4938 - mae: 170.4938\n",
       "Epoch 38/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 172.9109 - mae: 172.9109\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 172.3606 - mae: 172.3606\n",
       "Epoch 39/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 168.4727 - mae: 168.4727\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 169.9715 - mae: 169.9715\n",
       "Epoch 40/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 171.7850 - mae: 171.7850\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 170.5574 - mae: 170.5574\n",
       "Epoch 41/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 170.5194 - mae: 170.5194\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 169.1521 - mae: 169.1521\n",
       "Epoch 42/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 170.5849 - mae: 170.5849\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 170.7510 - mae: 170.7510\n",
       "Epoch 43/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 168.8266 - mae: 168.8266\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 169.6176 - mae: 169.6176\n",
       "Epoch 44/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 168.3492 - mae: 168.3492\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 168.7002 - mae: 168.7002\n",
       "Epoch 45/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 168.9340 - mae: 168.9340\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 169.8697 - mae: 169.8697\n",
       "Epoch 46/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 167.1123 - mae: 167.1123\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 166.8000 - mae: 166.8000\n",
       "Epoch 47/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 168.6050 - mae: 168.6050\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 169.0709 - mae: 169.0709\n",
       "Epoch 48/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 169.0850 - mae: 169.0850\n",
+      "689/689 [==============================] - 2s 2ms/step - loss: 169.6090 - mae: 169.6090\n",
       "Epoch 49/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 168.8003 - mae: 168.8003\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 167.8946 - mae: 167.8946\n",
       "Epoch 50/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 166.9802 - mae: 166.9802\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 166.9658 - mae: 166.9658\n",
       "Epoch 51/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 167.6311 - mae: 167.6311\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 168.6210 - mae: 168.6210\n",
       "Epoch 52/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 167.5054 - mae: 167.5054\n",
+      "689/689 [==============================] - 2s 3ms/step - loss: 167.7491 - mae: 167.7491\n",
       "Epoch 53/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 168.7029 - mae: 168.7029\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 167.5267 - mae: 167.5267\n",
       "Epoch 54/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 168.5954 - mae: 168.5954\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 169.0691 - mae: 169.0691\n",
       "Epoch 55/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 170.6459 - mae: 170.6459\n",
+      "689/689 [==============================] - 6s 8ms/step - loss: 170.7058 - mae: 170.7058\n",
       "Epoch 56/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 170.4135 - mae: 170.4135\n",
+      "689/689 [==============================] - 6s 8ms/step - loss: 170.7475 - mae: 170.7475\n",
       "Epoch 57/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 164.4277 - mae: 164.4277\n",
+      "689/689 [==============================] - 4s 6ms/step - loss: 165.5742 - mae: 165.5742\n",
       "Epoch 58/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 167.1452 - mae: 167.1452\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 167.0883 - mae: 167.0883\n",
       "Epoch 59/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 170.8012 - mae: 170.8012\n",
+      "689/689 [==============================] - 4s 6ms/step - loss: 170.9241 - mae: 170.9241\n",
       "Epoch 60/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 168.0270 - mae: 168.0270\n",
+      "689/689 [==============================] - 4s 6ms/step - loss: 168.3699 - mae: 168.3699\n",
       "Epoch 61/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 164.5768 - mae: 164.5768\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 164.5490 - mae: 164.5490\n",
       "Epoch 62/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 168.0100 - mae: 168.0100\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 167.5989 - mae: 167.5989\n",
       "Epoch 63/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 167.3555 - mae: 167.3555\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 167.7835 - mae: 167.7835\n",
       "Epoch 64/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 163.6627 - mae: 163.6627\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 164.6922 - mae: 164.6922\n",
       "Epoch 65/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 166.7565 - mae: 166.7565\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 165.5932 - mae: 165.5932\n",
       "Epoch 66/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 166.7351 - mae: 166.7351\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 166.4393 - mae: 166.4393\n",
       "Epoch 67/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 165.5388 - mae: 165.5388\n",
+      "689/689 [==============================] - 4s 6ms/step - loss: 165.7625 - mae: 165.7625\n",
       "Epoch 68/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 165.4117 - mae: 165.4117\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 164.9143 - mae: 164.9143\n",
       "Epoch 69/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 170.3679 - mae: 170.3679\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 170.7537 - mae: 170.7537\n",
       "Epoch 70/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 165.3439 - mae: 165.3439\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 164.7446 - mae: 164.7446\n",
       "Epoch 71/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 165.2385 - mae: 165.2385\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 165.0049 - mae: 165.0049\n",
       "Epoch 72/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 166.2839 - mae: 166.2839\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 164.4457 - mae: 164.4457\n",
       "Epoch 73/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 164.2205 - mae: 164.2205\n",
+      "689/689 [==============================] - 4s 6ms/step - loss: 166.0304 - mae: 166.0304\n",
       "Epoch 74/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 164.6837 - mae: 164.6837\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 165.5938 - mae: 165.5938\n",
       "Epoch 75/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 167.5499 - mae: 167.5499\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 166.5098 - mae: 166.5098\n",
       "Epoch 76/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 165.0748 - mae: 165.0748\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 165.5431 - mae: 165.5431\n",
       "Epoch 77/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 165.9975 - mae: 165.9975\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 164.9443 - mae: 164.9443\n",
       "Epoch 78/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 167.1182 - mae: 167.1182\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 167.9084 - mae: 167.9084\n",
       "Epoch 79/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 169.2156 - mae: 169.2156\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 167.6681 - mae: 167.6681\n",
       "Epoch 80/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 166.1429 - mae: 166.1429\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 165.6163 - mae: 165.6163\n",
       "Epoch 81/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 165.0848 - mae: 165.0848\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 165.2242 - mae: 165.2242\n",
       "Epoch 82/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 164.9141 - mae: 164.9141\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 166.0388 - mae: 166.0388\n",
       "Epoch 83/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 167.0583 - mae: 167.0583\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 166.9541 - mae: 166.9541\n",
       "Epoch 84/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 166.4000 - mae: 166.4000\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 166.1102 - mae: 166.1102\n",
       "Epoch 85/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 165.2400 - mae: 165.2400\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 166.2945 - mae: 166.2945\n",
       "Epoch 86/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 165.6177 - mae: 165.6177\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 164.9090 - mae: 164.9090\n",
       "Epoch 87/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 166.0724 - mae: 166.0724\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 166.4010 - mae: 166.4010\n",
       "Epoch 88/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 166.4889 - mae: 166.4889\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 166.6527 - mae: 166.6527\n",
       "Epoch 89/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 162.7117 - mae: 162.7117\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 161.7264 - mae: 161.7264\n",
       "Epoch 90/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 166.0358 - mae: 166.0358\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 164.2403 - mae: 164.2403\n",
       "Epoch 91/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 165.8927 - mae: 165.8927\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 165.5561 - mae: 165.5561\n",
       "Epoch 92/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 165.7687 - mae: 165.7687\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 165.3030 - mae: 165.3030\n",
       "Epoch 93/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 166.2411 - mae: 166.2411\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 164.6312 - mae: 164.6312\n",
       "Epoch 94/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 164.7665 - mae: 164.7665\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 166.2675 - mae: 166.2675\n",
       "Epoch 95/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 166.0790 - mae: 166.0790\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 165.8336 - mae: 165.8336\n",
       "Epoch 96/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 164.7345 - mae: 164.7345\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 163.0366 - mae: 163.0366\n",
       "Epoch 97/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 167.4093 - mae: 167.4093\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 166.5444 - mae: 166.5444\n",
       "Epoch 98/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 165.8801 - mae: 165.8801\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 164.2553 - mae: 164.2553\n",
       "Epoch 99/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 162.4751 - mae: 162.4751\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 164.0729 - mae: 164.0729\n",
       "Epoch 100/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 167.8933 - mae: 167.8933\n"
+      "689/689 [==============================] - 3s 5ms/step - loss: 166.2073 - mae: 166.2073\n"
      ]
     }
    ],
@@ -2217,7 +2217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -2226,13 +2226,13 @@
        "Text(0.5, 0, 'epochs')"
       ]
      },
-     "execution_count": 77,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -2252,32 +2252,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "173/173 [==============================] - 1s 2ms/step\n"
+      "173/173 [==============================] - 1s 4ms/step\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "array([[ 371.31635],\n",
-       "       [ 839.87   ],\n",
-       "       [ 164.96936],\n",
-       "       [ 469.9575 ],\n",
-       "       [-198.03906],\n",
-       "       [ 981.16113],\n",
-       "       [ 204.31735],\n",
-       "       [ 266.5023 ],\n",
-       "       [2300.069  ],\n",
-       "       [1766.79   ]], dtype=float32)"
+       "array([[ 525.1133 ],\n",
+       "       [1084.7    ],\n",
+       "       [ 301.0727 ],\n",
+       "       [ 646.00195],\n",
+       "       [-137.69537],\n",
+       "       [1260.5703 ],\n",
+       "       [ 330.61404],\n",
+       "       [ 433.3833 ],\n",
+       "       [2842.5576 ],\n",
+       "       [2207.238  ]], dtype=float32)"
       ]
      },
-     "execution_count": 82,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2290,18 +2290,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(<tf.Tensor: shape=(), dtype=float32, numpy=273.20605>,\n",
-       " <tf.Tensor: shape=(), dtype=float32, numpy=113963.586>,\n",
-       " <tf.Tensor: shape=(), dtype=float32, numpy=337.58493>)"
+       "(<tf.Tensor: shape=(), dtype=float32, numpy=148.31604>,\n",
+       " <tf.Tensor: shape=(), dtype=float32, numpy=50979.027>,\n",
+       " <tf.Tensor: shape=(), dtype=float32, numpy=225.78535>)"
       ]
      },
-     "execution_count": 84,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2324,7 +2324,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2338,7 +2338,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2352,7 +2352,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -2360,205 +2360,205 @@
      "output_type": "stream",
      "text": [
       "Epoch 1/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 395.9496 - mae: 395.9496\n",
+      "689/689 [==============================] - 6s 5ms/step - loss: 416.6107 - mae: 416.6107\n",
       "Epoch 2/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 168.0084 - mae: 168.0084\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 169.8042 - mae: 169.8042\n",
       "Epoch 3/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 160.7666 - mae: 160.7666\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 161.7519 - mae: 161.7519\n",
       "Epoch 4/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 155.8961 - mae: 155.8961\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 156.8546 - mae: 156.8546\n",
       "Epoch 5/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 151.8301 - mae: 151.8301\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 152.8717 - mae: 152.8717\n",
       "Epoch 6/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 148.1338 - mae: 148.1338\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 149.1483 - mae: 149.1483\n",
       "Epoch 7/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 144.1163 - mae: 144.1163\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 145.2629 - mae: 145.2629\n",
       "Epoch 8/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 141.4409 - mae: 141.4409\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 142.4724 - mae: 142.4724\n",
       "Epoch 9/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 138.3922 - mae: 138.3922\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 139.4133 - mae: 139.4133\n",
       "Epoch 10/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 136.8465 - mae: 136.8465\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 137.5139 - mae: 137.5139\n",
       "Epoch 11/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 136.1156 - mae: 136.1156\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 136.5487 - mae: 136.5487\n",
       "Epoch 12/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.5165 - mae: 135.5165\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.6382 - mae: 135.6382\n",
       "Epoch 13/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.4514 - mae: 135.4514\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.6176 - mae: 135.6176\n",
       "Epoch 14/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.0660 - mae: 135.0660\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1440 - mae: 135.1440\n",
       "Epoch 15/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.4177 - mae: 135.4177\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.3192 - mae: 135.3192\n",
       "Epoch 16/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.1713 - mae: 135.1713\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1035 - mae: 135.1035\n",
       "Epoch 17/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.2980 - mae: 135.2980\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.2145 - mae: 135.2145\n",
       "Epoch 18/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 135.0532 - mae: 135.0532\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.0586 - mae: 135.0586\n",
       "Epoch 19/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 134.9191 - mae: 134.9191\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 134.8679 - mae: 134.8679\n",
       "Epoch 20/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.1478 - mae: 135.1478\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.0742 - mae: 135.0742\n",
       "Epoch 21/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.2352 - mae: 135.2352\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1629 - mae: 135.1629\n",
       "Epoch 22/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.1975 - mae: 135.1975\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1556 - mae: 135.1556\n",
       "Epoch 23/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 134.9648 - mae: 134.9648\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 134.9834 - mae: 134.9834\n",
       "Epoch 24/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 135.0840 - mae: 135.0840\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0497 - mae: 135.0497\n",
       "Epoch 25/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.0363 - mae: 135.0363\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0715 - mae: 135.0715\n",
       "Epoch 26/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 135.5273 - mae: 135.5273\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.4841 - mae: 135.4841\n",
       "Epoch 27/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.1984 - mae: 135.1984\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.2388 - mae: 135.2388\n",
       "Epoch 28/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.0548 - mae: 135.0548\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0732 - mae: 135.0732\n",
       "Epoch 29/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 135.1478 - mae: 135.1478\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.1236 - mae: 135.1236\n",
       "Epoch 30/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.0432 - mae: 135.0432\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0562 - mae: 135.0562\n",
       "Epoch 31/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.0674 - mae: 135.0674\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 134.9931 - mae: 134.9931\n",
       "Epoch 32/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.9472 - mae: 134.9472\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.9842 - mae: 134.9842\n",
       "Epoch 33/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 134.9900 - mae: 134.9900\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.9791 - mae: 134.9791\n",
       "Epoch 34/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.1400 - mae: 135.1400\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1270 - mae: 135.1270\n",
       "Epoch 35/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.1984 - mae: 135.1984\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1811 - mae: 135.1811\n",
       "Epoch 36/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.1251 - mae: 135.1251\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.0758 - mae: 135.0758\n",
       "Epoch 37/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 135.3486 - mae: 135.3486\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.3626 - mae: 135.3626\n",
       "Epoch 38/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.9662 - mae: 134.9662\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.9727 - mae: 134.9727\n",
       "Epoch 39/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.1206 - mae: 135.1206\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1433 - mae: 135.1433\n",
       "Epoch 40/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 134.9195 - mae: 134.9195\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 134.9721 - mae: 134.9721\n",
       "Epoch 41/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.0479 - mae: 135.0479\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0079 - mae: 135.0079\n",
       "Epoch 42/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.1873 - mae: 135.1873\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0948 - mae: 135.0948\n",
       "Epoch 43/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 134.9622 - mae: 134.9622\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.9867 - mae: 134.9867\n",
       "Epoch 44/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.0151 - mae: 135.0151\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.9932 - mae: 134.9932\n",
       "Epoch 45/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.4718 - mae: 135.4718\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.4058 - mae: 135.4058\n",
       "Epoch 46/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.0931 - mae: 135.0931\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.1094 - mae: 135.1094\n",
       "Epoch 47/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 134.9752 - mae: 134.9752\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0080 - mae: 135.0080\n",
       "Epoch 48/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.8202 - mae: 134.8202\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.8631 - mae: 134.8631\n",
       "Epoch 49/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.1337 - mae: 135.1337\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.0784 - mae: 135.0784\n",
       "Epoch 50/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 135.0382 - mae: 135.0382\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0599 - mae: 135.0599\n",
       "Epoch 51/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.0502 - mae: 135.0502\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 134.9935 - mae: 134.9935\n",
       "Epoch 52/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 135.1248 - mae: 135.1248\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.0630 - mae: 135.0630\n",
       "Epoch 53/100\n",
-      "689/689 [==============================] - 3s 4ms/step - loss: 135.1010 - mae: 135.1010\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1382 - mae: 135.1382\n",
       "Epoch 54/100\n",
-      "689/689 [==============================] - 4s 5ms/step - loss: 135.1035 - mae: 135.1035\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 135.0387 - mae: 135.0387\n",
       "Epoch 55/100\n",
-      "689/689 [==============================] - 4s 5ms/step - loss: 134.9675 - mae: 134.9675\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.9512 - mae: 134.9512\n",
       "Epoch 56/100\n",
-      "689/689 [==============================] - 4s 5ms/step - loss: 135.0065 - mae: 135.0065\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0005 - mae: 135.0005\n",
       "Epoch 57/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 135.0956 - mae: 135.0956\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0708 - mae: 135.0708\n",
       "Epoch 58/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 134.9869 - mae: 134.9869\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0311 - mae: 135.0311\n",
       "Epoch 59/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 134.9988 - mae: 134.9988\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0497 - mae: 135.0497\n",
       "Epoch 60/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 134.9219 - mae: 134.9219\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 134.8998 - mae: 134.8998\n",
       "Epoch 61/100\n",
-      "689/689 [==============================] - 4s 5ms/step - loss: 134.7864 - mae: 134.7864\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.7901 - mae: 134.7901\n",
       "Epoch 62/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 135.0420 - mae: 135.0420\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1023 - mae: 135.1023\n",
       "Epoch 63/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 134.9224 - mae: 134.9224\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 134.9387 - mae: 134.9387\n",
       "Epoch 64/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 134.7556 - mae: 134.7556\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 134.7130 - mae: 134.7130\n",
       "Epoch 65/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 135.1004 - mae: 135.1004\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.1651 - mae: 135.1651\n",
       "Epoch 66/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 135.0903 - mae: 135.0903\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0651 - mae: 135.0651\n",
       "Epoch 67/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 134.9690 - mae: 134.9690\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0135 - mae: 135.0135\n",
       "Epoch 68/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 134.9503 - mae: 134.9503\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.9336 - mae: 134.9336\n",
       "Epoch 69/100\n",
-      "689/689 [==============================] - 4s 5ms/step - loss: 135.1423 - mae: 135.1423\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1333 - mae: 135.1333\n",
       "Epoch 70/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 134.8524 - mae: 134.8524\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 134.8140 - mae: 134.8140\n",
       "Epoch 71/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 134.8050 - mae: 134.8050\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.8005 - mae: 134.8005\n",
       "Epoch 72/100\n",
-      "689/689 [==============================] - 4s 5ms/step - loss: 135.0119 - mae: 135.0119\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.0171 - mae: 135.0171\n",
       "Epoch 73/100\n",
-      "689/689 [==============================] - 4s 5ms/step - loss: 134.9825 - mae: 134.9825\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.9478 - mae: 134.9478\n",
       "Epoch 74/100\n",
-      "689/689 [==============================] - 4s 5ms/step - loss: 135.0610 - mae: 135.0610\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.0786 - mae: 135.0786\n",
       "Epoch 75/100\n",
-      "689/689 [==============================] - 3s 5ms/step - loss: 135.2478 - mae: 135.2478\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.2446 - mae: 135.2446\n",
       "Epoch 76/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 134.8610 - mae: 134.8610\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.8284 - mae: 134.8284\n",
       "Epoch 77/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 135.2479 - mae: 135.2479\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.2631 - mae: 135.2631\n",
       "Epoch 78/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 134.7847 - mae: 134.7847\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.7164 - mae: 134.7164\n",
       "Epoch 79/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 134.9961 - mae: 134.9961\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.9799 - mae: 134.9799\n",
       "Epoch 80/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 134.9792 - mae: 134.9792\n",
+      "689/689 [==============================] - 4s 6ms/step - loss: 134.9746 - mae: 134.9746\n",
       "Epoch 81/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.8972 - mae: 134.8972\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.8770 - mae: 134.8770\n",
       "Epoch 82/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 135.1783 - mae: 135.1783\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 135.1214 - mae: 135.1214\n",
       "Epoch 83/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.9860 - mae: 134.9860\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.9906 - mae: 134.9906\n",
       "Epoch 84/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.7367 - mae: 134.7367\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.7661 - mae: 134.7661\n",
       "Epoch 85/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.7614 - mae: 134.7614\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.7306 - mae: 134.7306\n",
       "Epoch 86/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.9049 - mae: 134.9049\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.9507 - mae: 134.9507\n",
       "Epoch 87/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.1705 - mae: 135.1705\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.1117 - mae: 135.1117\n",
       "Epoch 88/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.9017 - mae: 134.9017\n",
+      "689/689 [==============================] - 4s 6ms/step - loss: 134.9073 - mae: 134.9073\n",
       "Epoch 89/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.9235 - mae: 134.9235\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.7909 - mae: 134.7909\n",
       "Epoch 90/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.9732 - mae: 134.9732\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.0176 - mae: 135.0176\n",
       "Epoch 91/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.0167 - mae: 135.0167\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.0464 - mae: 135.0464\n",
       "Epoch 92/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.8994 - mae: 134.8994\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.9106 - mae: 134.9106\n",
       "Epoch 93/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.0852 - mae: 135.0852\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.0480 - mae: 135.0480\n",
       "Epoch 94/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.7459 - mae: 134.7459\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.6981 - mae: 134.6981\n",
       "Epoch 95/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 135.0889 - mae: 135.0889\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 135.1486 - mae: 135.1486\n",
       "Epoch 96/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.9544 - mae: 134.9544\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.9517 - mae: 134.9517\n",
       "Epoch 97/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.7864 - mae: 134.7864\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.7904 - mae: 134.7904\n",
       "Epoch 98/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.9894 - mae: 134.9894\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.9521 - mae: 134.9521\n",
       "Epoch 99/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.9162 - mae: 134.9162\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 134.9765 - mae: 134.9765\n",
       "Epoch 100/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 134.8605 - mae: 134.8605\n"
+      "689/689 [==============================] - 3s 4ms/step - loss: 134.8668 - mae: 134.8668\n"
      ]
     }
    ],
@@ -2569,7 +2569,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -2578,13 +2578,13 @@
        "Text(0.5, 0, 'epochs')"
       ]
      },
-     "execution_count": 106,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -2604,32 +2604,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "173/173 [==============================] - 0s 2ms/step\n"
+      "173/173 [==============================] - 1s 3ms/step\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "array([[ 555.2538 ],\n",
-       "       [1140.9839 ],\n",
-       "       [ 356.7457 ],\n",
-       "       [ 673.77246],\n",
-       "       [-128.71414],\n",
-       "       [1307.8127 ],\n",
-       "       [ 360.09433],\n",
-       "       [ 530.09717],\n",
-       "       [3043.734  ],\n",
-       "       [2357.4595 ]], dtype=float32)"
+       "array([[ 556.81635],\n",
+       "       [1141.344  ],\n",
+       "       [ 356.94714],\n",
+       "       [ 674.0378 ],\n",
+       "       [-129.91156],\n",
+       "       [1307.9783 ],\n",
+       "       [ 361.35596],\n",
+       "       [ 530.4382 ],\n",
+       "       [3032.6438 ],\n",
+       "       [2346.8357 ]], dtype=float32)"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2642,18 +2642,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(<tf.Tensor: shape=(), dtype=float32, numpy=133.6276>,\n",
-       " <tf.Tensor: shape=(), dtype=float32, numpy=50211.477>,\n",
-       " <tf.Tensor: shape=(), dtype=float32, numpy=224.07918>)"
+       "(<tf.Tensor: shape=(), dtype=float32, numpy=133.16054>,\n",
+       " <tf.Tensor: shape=(), dtype=float32, numpy=49439.668>,\n",
+       " <tf.Tensor: shape=(), dtype=float32, numpy=222.35033>)"
       ]
      },
-     "execution_count": 86,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2676,7 +2676,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
@@ -2783,7 +2783,7 @@
        "70812                      0                      1                    0  "
       ]
      },
-     "execution_count": 89,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2795,7 +2795,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2807,7 +2807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [
     {
@@ -2831,7 +2831,7 @@
        "         0.        ]]))"
       ]
      },
-     "execution_count": 99,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2843,7 +2843,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2857,7 +2857,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 138,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2871,7 +2871,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -2879,205 +2879,205 @@
      "output_type": "stream",
      "text": [
       "Epoch 1/100\n",
-      "689/689 [==============================] - 3s 3ms/step - loss: 567.4171 - mae: 567.4171\n",
+      "689/689 [==============================] - 8s 8ms/step - loss: 553.4396 - mae: 553.4396\n",
       "Epoch 2/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 352.2687 - mae: 352.2687\n",
+      "689/689 [==============================] - 5s 7ms/step - loss: 347.4246 - mae: 347.4246\n",
       "Epoch 3/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 273.0983 - mae: 273.0983\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 276.8630 - mae: 276.8630\n",
       "Epoch 4/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 210.0160 - mae: 210.0160\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 216.4280 - mae: 216.4280\n",
       "Epoch 5/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 148.3371 - mae: 148.3371\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 151.9930 - mae: 151.9930\n",
       "Epoch 6/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 122.8762 - mae: 122.8762\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 123.1022 - mae: 123.1022\n",
       "Epoch 7/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 115.4827 - mae: 115.4827\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 118.0806 - mae: 118.0806\n",
       "Epoch 8/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 109.0593 - mae: 109.0593\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 115.4742 - mae: 115.4742\n",
       "Epoch 9/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 104.9302 - mae: 104.9302\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 111.7565 - mae: 111.7565\n",
       "Epoch 10/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 101.1047 - mae: 101.1047\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 106.4121 - mae: 106.4121\n",
       "Epoch 11/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 98.3873 - mae: 98.3873\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 101.7571 - mae: 101.7571\n",
       "Epoch 12/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 95.9881 - mae: 95.9881\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 97.0624 - mae: 97.0624\n",
       "Epoch 13/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 93.8060 - mae: 93.8060\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 91.6989 - mae: 91.6989\n",
       "Epoch 14/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 91.9493 - mae: 91.9493\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 88.6150 - mae: 88.6150\n",
       "Epoch 15/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 89.6298 - mae: 89.6298\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 86.2213 - mae: 86.2213\n",
       "Epoch 16/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 87.4234 - mae: 87.4234\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 84.2392 - mae: 84.2392\n",
       "Epoch 17/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 85.1982 - mae: 85.1982\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 82.3026 - mae: 82.3026\n",
       "Epoch 18/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 83.4035 - mae: 83.4035\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 80.7383 - mae: 80.7383\n",
       "Epoch 19/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 81.8511 - mae: 81.8511\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 79.2113 - mae: 79.2113\n",
       "Epoch 20/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 80.2480 - mae: 80.2480\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 77.6288 - mae: 77.6288\n",
       "Epoch 21/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 78.6503 - mae: 78.6503\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 76.2010 - mae: 76.2010\n",
       "Epoch 22/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 77.0469 - mae: 77.0469\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 74.7660 - mae: 74.7660\n",
       "Epoch 23/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 75.6802 - mae: 75.6802\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 73.4838 - mae: 73.4838\n",
       "Epoch 24/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 74.1702 - mae: 74.1702\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 72.2122 - mae: 72.2122\n",
       "Epoch 25/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 72.7914 - mae: 72.7914\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 70.8605 - mae: 70.8605\n",
       "Epoch 26/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 71.4390 - mae: 71.4390\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 69.6275 - mae: 69.6275\n",
       "Epoch 27/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 70.0321 - mae: 70.0321\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 68.2947 - mae: 68.2947\n",
       "Epoch 28/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 68.6191 - mae: 68.6191\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 66.9746 - mae: 66.9746\n",
       "Epoch 29/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 67.2935 - mae: 67.2935\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 65.6597 - mae: 65.6597\n",
       "Epoch 30/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 65.9560 - mae: 65.9560\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 64.4204 - mae: 64.4204\n",
       "Epoch 31/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 64.6754 - mae: 64.6754\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 63.0794 - mae: 63.0794\n",
       "Epoch 32/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 63.3545 - mae: 63.3545\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 61.5170 - mae: 61.5170\n",
       "Epoch 33/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 62.1664 - mae: 62.1664\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 60.1531 - mae: 60.1531\n",
       "Epoch 34/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 60.9564 - mae: 60.9564\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 58.8691 - mae: 58.8691\n",
       "Epoch 35/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 59.8276 - mae: 59.8276\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 57.5874 - mae: 57.5874\n",
       "Epoch 36/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 58.6932 - mae: 58.6932\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 56.4319 - mae: 56.4319\n",
       "Epoch 37/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 57.6221 - mae: 57.6221\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 55.1628 - mae: 55.1628\n",
       "Epoch 38/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 56.5565 - mae: 56.5565\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 54.2335 - mae: 54.2335\n",
       "Epoch 39/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 55.6583 - mae: 55.6583\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 53.2048 - mae: 53.2048\n",
       "Epoch 40/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 54.6409 - mae: 54.6409\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 52.1472 - mae: 52.1472\n",
       "Epoch 41/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 53.8213 - mae: 53.8213\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 51.3733 - mae: 51.3733\n",
       "Epoch 42/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 53.0360 - mae: 53.0360\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 50.6628 - mae: 50.6628\n",
       "Epoch 43/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 52.4425 - mae: 52.4425\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 50.1055 - mae: 50.1055\n",
       "Epoch 44/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 52.0178 - mae: 52.0178\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 49.7099 - mae: 49.7099\n",
       "Epoch 45/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 51.4078 - mae: 51.4078\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 49.1877 - mae: 49.1877\n",
       "Epoch 46/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 50.9509 - mae: 50.9509\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 48.8819 - mae: 48.8819\n",
       "Epoch 47/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 50.6363 - mae: 50.6363\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 48.5723 - mae: 48.5723\n",
       "Epoch 48/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 50.1777 - mae: 50.1777\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 48.2722 - mae: 48.2722\n",
       "Epoch 49/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 49.8771 - mae: 49.8771\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 48.1268 - mae: 48.1268\n",
       "Epoch 50/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 49.4888 - mae: 49.4888\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 47.8757 - mae: 47.8757\n",
       "Epoch 51/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 49.1714 - mae: 49.1714\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 47.7353 - mae: 47.7353\n",
       "Epoch 52/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 48.8663 - mae: 48.8663\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 47.5984 - mae: 47.5984\n",
       "Epoch 53/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 48.6870 - mae: 48.6870\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 47.4911 - mae: 47.4911\n",
       "Epoch 54/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 48.5180 - mae: 48.5180\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 47.3709 - mae: 47.3709\n",
       "Epoch 55/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 48.3661 - mae: 48.3661\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 47.1933 - mae: 47.1933\n",
       "Epoch 56/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 48.1473 - mae: 48.1473\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 47.0453 - mae: 47.0453\n",
       "Epoch 57/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 48.1716 - mae: 48.1716\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 47.0979 - mae: 47.0979\n",
       "Epoch 58/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 48.0864 - mae: 48.0864\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.9718 - mae: 46.9718\n",
       "Epoch 59/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 47.8354 - mae: 47.8354\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.8403 - mae: 46.8403\n",
       "Epoch 60/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 47.8290 - mae: 47.8290\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.7664 - mae: 46.7664\n",
       "Epoch 61/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 47.6268 - mae: 47.6268\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.6629 - mae: 46.6629\n",
       "Epoch 62/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 47.7196 - mae: 47.7196\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.7698 - mae: 46.7698\n",
       "Epoch 63/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 47.6035 - mae: 47.6035\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 46.6761 - mae: 46.6761\n",
       "Epoch 64/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 47.5878 - mae: 47.5878\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.6261 - mae: 46.6261\n",
       "Epoch 65/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 47.3900 - mae: 47.3900\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.4655 - mae: 46.4655\n",
       "Epoch 66/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 47.3266 - mae: 47.3266\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.4461 - mae: 46.4461\n",
       "Epoch 67/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 47.3033 - mae: 47.3033\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 46.3958 - mae: 46.3958\n",
       "Epoch 68/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 47.3225 - mae: 47.3225\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.3641 - mae: 46.3641\n",
       "Epoch 69/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 47.1656 - mae: 47.1656\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.2257 - mae: 46.2257\n",
       "Epoch 70/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 47.1532 - mae: 47.1532\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 46.2658 - mae: 46.2658\n",
       "Epoch 71/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 47.0989 - mae: 47.0989\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 46.1717 - mae: 46.1717\n",
       "Epoch 72/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 46.9698 - mae: 46.9698\n",
+      "689/689 [==============================] - 4s 6ms/step - loss: 46.0899 - mae: 46.0899\n",
       "Epoch 73/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 46.8999 - mae: 46.8999\n",
+      "689/689 [==============================] - 4s 6ms/step - loss: 46.0216 - mae: 46.0216\n",
       "Epoch 74/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 46.9389 - mae: 46.9389\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 46.0910 - mae: 46.0910\n",
       "Epoch 75/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.8672 - mae: 46.8672\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 45.9305 - mae: 45.9305\n",
       "Epoch 76/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.8285 - mae: 46.8285\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.9720 - mae: 45.9720\n",
       "Epoch 77/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.6858 - mae: 46.6858\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.8683 - mae: 45.8683\n",
       "Epoch 78/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 46.7124 - mae: 46.7124\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 45.8675 - mae: 45.8675\n",
       "Epoch 79/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.7244 - mae: 46.7244\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 45.8769 - mae: 45.8769\n",
       "Epoch 80/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 46.6953 - mae: 46.6953\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 45.8641 - mae: 45.8641\n",
       "Epoch 81/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.6097 - mae: 46.6097\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 45.7432 - mae: 45.7432\n",
       "Epoch 82/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 46.5951 - mae: 46.5951\n",
+      "689/689 [==============================] - 4s 6ms/step - loss: 45.7439 - mae: 45.7439\n",
       "Epoch 83/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 46.5698 - mae: 46.5698\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 45.6980 - mae: 45.6980\n",
       "Epoch 84/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.4600 - mae: 46.4600\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.6341 - mae: 45.6341\n",
       "Epoch 85/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.4016 - mae: 46.4016\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.5956 - mae: 45.5956\n",
       "Epoch 86/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.3460 - mae: 46.3460\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.5372 - mae: 45.5372\n",
       "Epoch 87/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.2820 - mae: 46.2820\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 45.4685 - mae: 45.4685\n",
       "Epoch 88/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.2476 - mae: 46.2476\n",
+      "689/689 [==============================] - 4s 5ms/step - loss: 45.4795 - mae: 45.4795\n",
       "Epoch 89/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 46.2527 - mae: 46.2527\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.3991 - mae: 45.3991\n",
       "Epoch 90/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 46.2266 - mae: 46.2266\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.3715 - mae: 45.3715\n",
       "Epoch 91/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 46.0912 - mae: 46.0912\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.2691 - mae: 45.2691\n",
       "Epoch 92/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 46.1087 - mae: 46.1087\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.2652 - mae: 45.2652\n",
       "Epoch 93/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.0774 - mae: 46.0774\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.2445 - mae: 45.2445\n",
       "Epoch 94/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 46.0715 - mae: 46.0715\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.2091 - mae: 45.2091\n",
       "Epoch 95/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 46.0276 - mae: 46.0276\n",
+      "689/689 [==============================] - 3s 5ms/step - loss: 45.1786 - mae: 45.1786\n",
       "Epoch 96/100\n",
-      "689/689 [==============================] - 1s 2ms/step - loss: 46.0838 - mae: 46.0838\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.1707 - mae: 45.1707\n",
       "Epoch 97/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 45.9483 - mae: 45.9483\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.0874 - mae: 45.0874\n",
       "Epoch 98/100\n",
-      "689/689 [==============================] - 2s 2ms/step - loss: 45.9574 - mae: 45.9574\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.0629 - mae: 45.0629\n",
       "Epoch 99/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 45.9792 - mae: 45.9792\n",
+      "689/689 [==============================] - 3s 4ms/step - loss: 45.1012 - mae: 45.1012\n",
       "Epoch 100/100\n",
-      "689/689 [==============================] - 2s 3ms/step - loss: 45.8498 - mae: 45.8498\n"
+      "689/689 [==============================] - 4s 6ms/step - loss: 44.9772 - mae: 44.9772\n"
      ]
     }
    ],
@@ -3088,7 +3088,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
@@ -3097,13 +3097,13 @@
        "Text(0.5, 0, 'epochs')"
       ]
      },
-     "execution_count": 140,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -3123,32 +3123,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "173/173 [==============================] - 0s 2ms/step\n"
+      "173/173 [==============================] - 1s 3ms/step\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "array([[ 465.03815 ],\n",
-       "       [1383.0455  ],\n",
-       "       [ 310.86514 ],\n",
-       "       [ 649.3287  ],\n",
-       "       [  16.312994],\n",
-       "       [1558.1923  ],\n",
-       "       [ 286.7144  ],\n",
-       "       [ 472.7636  ],\n",
-       "       [1694.8376  ],\n",
-       "       [1728.2596  ]], dtype=float32)"
+       "array([[ 457.06512 ],\n",
+       "       [1391.0696  ],\n",
+       "       [ 304.5196  ],\n",
+       "       [ 643.35657 ],\n",
+       "       [   8.638475],\n",
+       "       [1552.5234  ],\n",
+       "       [ 280.77808 ],\n",
+       "       [ 468.8153  ],\n",
+       "       [1685.1185  ],\n",
+       "       [1719.7847  ]], dtype=float32)"
       ]
      },
-     "execution_count": 141,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3161,18 +3161,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(<tf.Tensor: shape=(), dtype=float32, numpy=45.907845>,\n",
-       " <tf.Tensor: shape=(), dtype=float32, numpy=4590.72>,\n",
-       " <tf.Tensor: shape=(), dtype=float32, numpy=67.75485>)"
+       "(<tf.Tensor: shape=(), dtype=float32, numpy=45.192253>,\n",
+       " <tf.Tensor: shape=(), dtype=float32, numpy=4359.664>,\n",
+       " <tf.Tensor: shape=(), dtype=float32, numpy=66.027756>)"
       ]
      },
-     "execution_count": 142,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3195,7 +3195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
     {
@@ -3229,36 +3229,36 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Model 1</td>\n",
-       "      <td>273.206055</td>\n",
-       "      <td>113963.585938</td>\n",
-       "      <td>337.584930</td>\n",
+       "      <td>148.316040</td>\n",
+       "      <td>50979.027344</td>\n",
+       "      <td>225.785355</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Model 2</td>\n",
-       "      <td>133.627594</td>\n",
-       "      <td>50211.476562</td>\n",
-       "      <td>224.079178</td>\n",
+       "      <td>133.160538</td>\n",
+       "      <td>49439.667969</td>\n",
+       "      <td>222.350327</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>Model 3</td>\n",
-       "      <td>45.907845</td>\n",
-       "      <td>4590.720215</td>\n",
-       "      <td>67.754852</td>\n",
+       "      <td>45.192253</td>\n",
+       "      <td>4359.664062</td>\n",
+       "      <td>66.027756</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "     Model         MAE            MSE        RMSE\n",
-       "0  Model 1  273.206055  113963.585938  337.584930\n",
-       "1  Model 2  133.627594   50211.476562  224.079178\n",
-       "2  Model 3   45.907845    4590.720215   67.754852"
+       "     Model         MAE           MSE        RMSE\n",
+       "0  Model 1  148.316040  50979.027344  225.785355\n",
+       "1  Model 2  133.160538  49439.667969  222.350327\n",
+       "2  Model 3   45.192253   4359.664062   66.027756"
       ]
      },
-     "execution_count": 143,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3277,12 +3277,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 864x432 with 3 Axes>"
       ]
@@ -3319,12 +3319,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 864x432 with 1 Axes>"
       ]
@@ -3357,7 +3357,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3367,7 +3367,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
@@ -3393,7 +3393,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 128,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3405,7 +3405,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [
     {
@@ -3447,7 +3447,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [
     {
@@ -3471,7 +3471,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [
     {
@@ -3488,7 +3488,7 @@
        "Name: TurbineStatus, dtype: int64"
       ]
      },
-     "execution_count": 131,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3500,7 +3500,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3511,18 +3511,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 134,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0    29784\n",
-       "1     2944\n",
+       "0    30320\n",
+       "1     2408\n",
        "Name: TurbineFault, dtype: int64"
       ]
      },
-     "execution_count": 134,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3534,7 +3534,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3544,7 +3544,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3555,12 +3555,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 864x576 with 2 Axes>"
       ]
@@ -3582,7 +3582,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 173,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3592,12 +3592,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 174,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1440x1080 with 16 Axes>"
       ]
@@ -3628,7 +3628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 175,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3639,7 +3639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [
     {
@@ -3648,7 +3648,7 @@
        "(32728, 26182, 6546, 32728, 26182, 6546)"
       ]
      },
-     "execution_count": 176,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3661,12 +3661,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Create neural network model with 2 hidden layers\n",
-    "tf.random.set_seed(42)\n",
+    "# tf.random.set_seed(42)\n",
     "model1 = tf.keras.models.Sequential([\n",
     "    tf.keras.layers.Dense(10),\n",
     "    tf.keras.layers.Dense(1)\n",
@@ -3675,7 +3675,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3689,7 +3689,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 73,
    "metadata": {},
    "outputs": [
     {
@@ -3697,205 +3697,205 @@
      "output_type": "stream",
      "text": [
       "Epoch 1/100\n",
-      "819/819 [==============================] - 4s 3ms/step - loss: 1.3627 - accuracy: 0.9116\n",
+      "819/819 [==============================] - 5s 4ms/step - loss: 11.1542 - accuracy: 0.2687\n",
       "Epoch 2/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.3746 - accuracy: 0.9099\n",
       "Epoch 3/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 4/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 5/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 6/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 7/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 8/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 9/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 10/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 11/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 12/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 13/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 14/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 15/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 16/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 17/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 18/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 19/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 20/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 21/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 22/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 23/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 24/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 25/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 26/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 27/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 28/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 29/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 30/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 31/100\n",
-      "819/819 [==============================] - 4s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 32/100\n",
-      "819/819 [==============================] - 4s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 33/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 34/100\n",
-      "819/819 [==============================] - 4s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 35/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 36/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 37/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 38/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 39/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 40/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 41/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 42/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 43/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 44/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 45/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 46/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 47/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 48/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 49/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 50/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 51/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 52/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 53/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 54/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 55/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 56/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 57/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 58/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 59/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 60/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 61/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 62/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 63/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 64/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 65/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 66/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 67/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 68/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 69/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 70/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 71/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 72/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 73/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 74/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 75/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 6s 7ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 76/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 77/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 78/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 79/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 80/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 81/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 82/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 83/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 84/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 85/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 86/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 87/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 88/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 89/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 90/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 91/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 92/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 93/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 94/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 95/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 96/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 97/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 98/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 99/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 1.3603 - accuracy: 0.9118\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n",
       "Epoch 100/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 1.3603 - accuracy: 0.9118\n"
+      "819/819 [==============================] - 3s 4ms/step - loss: 1.5686 - accuracy: 0.8972\n"
      ]
     }
    ],
@@ -3906,7 +3906,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 158,
+   "execution_count": 74,
    "metadata": {},
    "outputs": [
     {
@@ -3915,13 +3915,13 @@
        "Text(0.5, 0, 'epochs')"
       ]
      },
-     "execution_count": 158,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEGCAYAAAB1iW6ZAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAUW0lEQVR4nO3de5SdVZnn8e/TqTTVuQAhKcMlQIK6WiCkEkggoobYDEt0UAI0i2EQSOSyWF66bQcZ8DLYwizxNszgooVaGi6jIA6XaUfbMIaLhYsgJBggQhDkMlSEoUggDIPRXJ7547zJFDGVOpU6Vcfa9f2sdVbOeW9777OLH+/Z5333icxEkjT8/UWzKyBJagwDXZIKYaBLUiEMdEkqhIEuSYVoaVbBkyZNyqlTpzareEkallasWPFKZrbtaF3TAn3q1KksX768WcVL0rAUEc/3ts4hF0kqhIEuSYUw0CWpEAa6JBXCQJekQhjoklQIA12SCjHsAv2FdW/ytSWrefx3r+PUv5L0/zXtxqJd9asXXuPazmf4p3t/y9vbxvKBQ/dmj78avW19RO3fnWX91m12ZiD793ffXfn/Uj1tqEc9dW10e+o5bn/K+3M00L+/oahHb0p4j3vTW9saeW5Yz/vXPmVPjjpoYuMKrQy7QP9I+7685+0T+emql/jxo7/j2z//bUM7Q5IG2wXHvN1A32riuN346NwD+ejcA9mwcTNbqkTfPtgHejY8kP37u29v2zfqjH5n6imjEe3pz3GHot2D7c+lDSPxPR7IJ8d6jzWQ969l1OB8DBqWgd5T6+hRza6CJP1ZGHZfikqSdsxAl6RCGOiSVAgDXZIKYaBLUiEMdEkqhIEuSYUw0CWpEAa6JBXCQJekQhjoklQIA12SCmGgS1IhDHRJKoSBLkmFMNAlqRAGuiQVwkCXpEIY6JJUCANdkgphoEtSIfoM9IhYHBEvR8SqXtafGBGPRsTKiFgeEe9tfDUlSX2p5wz9euD4nay/C2jPzJnAx4DvDLxakqT+6jPQM7MTWLeT9W9kZlYvxwLZ27aSpMHTkDH0iDgpIlYDP6F2lt7bdudXwzLLu7u7G1G0JKnSkEDPzDsy813AAuCynWzXkZmzM3N2W1tbI4qWJFUaepVLNTxzUERMauRxJUl9G3CgR8Q7IiKq54cDuwFrB3pcSVL/tPS1QUTcDMwHJkVEF3ApMBogM68BTgHOioiNwO+B03p8SSpJGiJ9Bnpmnt7H+q8CX21YjSRJu8Q7RSWpEAa6JBXCQJekQhjoklQIA12SCmGgS1IhDHRJKoSBLkmFMNAlqRAGuiQVwkCXpEIY6JJUCANdkgphoEtSIQx0SSqEgS5JhTDQJakQBrokFcJAl6RCGOiSVAgDXZIKYaBLUiEMdEkqhIEuSYUw0CWpEAa6JBXCQJekQhjoklQIA12SCmGgS1IhDHRJKoSBLkmFMNAlqRAGuiQVos9Aj4jFEfFyRKzqZf0ZEfFoRDwWEfdHRHvjqylJ6ks9Z+jXA8fvZP2zwDGZeRhwGdDRgHpJkvqppa8NMrMzIqbuZP39PV4+AExpQL0kSf3U6DH0c4CfNviYkqQ69HmGXq+IeD+1QH/vTrY5Hzgf4IADDmhU0ZIkGnSGHhEzgO8AJ2bm2t62y8yOzJydmbPb2toaUbQkqTLgQI+IA4DbgTMz8zcDr5IkaVf0OeQSETcD84FJEdEFXAqMBsjMa4D/AEwE/ikiADZl5uzBqrAkacfqucrl9D7Wnwuc27AaSZJ2iXeKSlIhDHRJKoSBLkmFMNAlqRAGuiQVwkCXpEI07NZ/Sepp48aNdHV1sWHDhmZXZVhqbW1lypQpjB49uu59DHRJg6Krq4vx48czdepUqpsOVafMZO3atXR1dTFt2rS693PIRdKg2LBhAxMnTjTMd0FEMHHixH5/ujHQJQ0aw3zX7cp7Z6BLKta4ceOaXYUhZaBLUiEMdEnFy0w++9nPMn36dA477DBuueUWAF588UXmzZvHzJkzmT59Ovfddx+bN29m4cKF27a98sorm1z7+nmVi6RB94//49c8/rvXG3rMQ/bdnUs/fGhd295+++2sXLmSRx55hFdeeYU5c+Ywb948brrpJj7wgQ/w+c9/ns2bN/Pmm2+ycuVK1qxZw6pVqwB47bXXGlrvweQZuqTi/eIXv+D0009n1KhRTJ48mWOOOYaHHnqIOXPmcN111/GlL32Jxx57jPHjx3PQQQfxzDPP8KlPfYolS5aw++67N7v6dfMMXdKgq/dMeqjNmzePzs5OfvKTn7Bw4UI+85nPcNZZZ/HII49w5513cs011/DDH/6QxYsXN7uqdfEMXVLx3ve+93HLLbewefNmuru76ezs5Mgjj+T5559n8uTJnHfeeZx77rk8/PDDvPLKK2zZsoVTTjmFyy+/nIcffrjZ1a+bZ+iSinfSSSexbNky2tvbiQi+9rWvsffee3PDDTfw9a9/ndGjRzNu3DhuvPFG1qxZw6JFi9iyZQsAX/nKV5pc+/pFZjal4NmzZ+fy5cubUrakwffEE09w8MEHN7saw9qO3sOIWNHb7zY75CJJhTDQJakQBrokFcJAl6RCGOiSVAgDXZIKYaBLUiEMdEkaoE2bNjW7CoCBLqlwCxYs4IgjjuDQQw+lo6MDgCVLlnD44YfT3t7OscceC8Abb7zBokWLOOyww5gxYwa33XYb8NYfybj11ltZuHAhAAsXLuSCCy7gqKOO4qKLLuLBBx/k3e9+N7NmzeLoo4/mySefBGDz5s1ceOGFTJ8+nRkzZvCtb32Lu+++mwULFmw77s9+9jNOOumkAbfVW/8lDb6fXgwvPdbYY+59GHzwij43W7x4MXvttRe///3vmTNnDieeeCLnnXcenZ2dTJs2jXXr1gFw2WWXsccee/DYY7V6vvrqq30eu6uri/vvv59Ro0bx+uuvc99999HS0sLSpUv53Oc+x2233UZHRwfPPfccK1eupKWlhXXr1jFhwgQ+/vGP093dTVtbG9dddx0f+9jHBvZ+YKBLKtxVV13FHXfcAcALL7xAR0cH8+bNY9q0aQDstddeACxdupQf/OAH2/abMGFCn8c+9dRTGTVqFADr16/n7LPP5qmnniIi2Lhx47bjXnDBBbS0tLylvDPPPJPvfe97LFq0iGXLlnHjjTcOuK0GuqTBV8eZ9GC49957Wbp0KcuWLWPMmDHMnz+fmTNnsnr16rqP0fPHmjds2PCWdWPHjt32/Itf/CLvf//7ueOOO3juueeYP3/+To+7aNEiPvzhD9Pa2sqpp566LfAHwjF0ScVav349EyZMYMyYMaxevZoHHniADRs20NnZybPPPguwbcjluOOO4+qrr96279Yhl8mTJ/PEE0+wZcuWbWf6vZW13377AXD99ddvW37cccdx7bXXbvvidGt5++67L/vuuy+XX345ixYtakh7DXRJxTr++OPZtGkTBx98MBdffDFz586lra2Njo4OTj75ZNrb2znttNMA+MIXvsCrr77K9OnTaW9v55577gHgiiuu4IQTTuDoo49mn3326bWsiy66iEsuuYRZs2a95aqXc889lwMOOIAZM2bQ3t7OTTfdtG3dGWecwf7779+wWSmdPlfSoHD63L598pOfZNasWZxzzjk7XN/f6XMdQ5ekJjjiiCMYO3Ys3/zmNxt2zD6HXCJicUS8HBGreln/rohYFhF/iIgLG1YzSSrYihUr6OzsZLfddmvYMesZQ78eOH4n69cBfwd8oxEVkiTtmj4DPTM7qYV2b+tfzsyHgI2NrJik4a9Z39GVYFfeuyG9yiUizo+I5RGxvLu7eyiLljTEWltbWbt2raG+CzKTtWvX0tra2q/9hvRL0czsADqgdpXLUJYtaWhNmTKFrq4uPHnbNa2trUyZMqVf+3iVi6RBMXr06G2312toeGORJBWizzP0iLgZmA9Miogu4FJgNEBmXhMRewPLgd2BLRHxaeCQzHx9sCotSfpTfQZ6Zp7ex/qXgP4N9EiSGs4hF0kqhIEuSYUw0CWpEAa6JBXCQJekQhjoklQIA12SCmGgS1IhDHRJKoSBLkmFMNAlqRAGuiQVwkCXpEIY6JJUCANdkgphoEtSIQx0SSqEgS5JhTDQJakQBrokFcJAl6RCGOiSVAgDXZIKYaBLUiEMdEkqhIEuSYUw0CWpEAa6JBXCQJekQhjoklQIA12SCmGgS1IhDHRJKoSBLkmFMNAlqRB9BnpELI6IlyNiVS/rIyKuioinI+LRiDi88dWUJPWlnjP064Hjd7L+g8A7q8f5wLcHXi1JUn/1GeiZ2Qms28kmJwI3Zs0DwJ4RsU+jKihJqk8jxtD3A17o8bqrWvYnIuL8iFgeEcu7u7sbULQkaash/VI0Mzsyc3Zmzm5raxvKoiWpeI0I9DXA/j1eT6mWSZKGUCMC/UfAWdXVLnOB9Zn5YgOOK0nqh5a+NoiIm4H5wKSI6AIuBUYDZOY1wL8AHwKeBt4EFg1WZSVJvesz0DPz9D7WJ/CJhtVIkrRLvFNUkgphoEtSIQx0SSqEgS5JhTDQJakQBrokFcJAl6RCGOiSVAgDXZIKYaBLUiEMdEkqhIEuSYUw0CWpEAa6JBXCQJekQhjoklQIA12SCmGgS1IhDHRJKoSBLkmFMNAlqRAGuiQVwkCXpEIY6JJUCANdkgphoEtSIQx0SSqEgS5JhTDQJakQBrokFcJAl6RCGOiSVIiWZleg355aCndeApv+AJv/WHtI0nBy1AVwzEUNP+zwC/TW3eFth0DLbjDqL2uPiGbXSpLq97ZDBuWwwy/Q9z+y9pAkvUVdY+gRcXxEPBkRT0fExTtYf2BE3BURj0bEvRExpfFVlSTtTJ+BHhGjgKuBDwKHAKdHxPafF74B3JiZM4AvA19pdEUlSTtXzxn6kcDTmflMZv4R+AFw4nbbHALcXT2/ZwfrJUmDrJ5A3w94ocfrrmpZT48AJ1fPTwLGR8TE7Q8UEedHxPKIWN7d3b0r9ZUk9aJR16FfCBwTEb8CjgHWAJu33ygzOzJzdmbObmtra1DRkiSo7yqXNcD+PV5PqZZtk5m/ozpDj4hxwCmZ+VqD6ihJqkM9Z+gPAe+MiGkR8ZfAvwF+1HODiJgUEVuPdQmwuLHVlCT1pc9Az8xNwCeBO4EngB9m5q8j4ssR8ZFqs/nAkxHxG2Ay8B8Hqb6SpF5EZjan4Ihu4Pld3H0S8EoDqzNcjMR2j8Q2w8hs90hsM/S/3Qdm5g6/hGxaoA9ERCzPzNnNrsdQG4ntHolthpHZ7pHYZmhsu51tUZIKYaBLUiGGa6B3NLsCTTIS2z0S2wwjs90jsc3QwHYPyzF0SdKfGq5n6JKk7RjoklSIYRfofc3NXoKI2D8i7omIxyPi1xHx99XyvSLiZxHxVPXvhGbXdTBExKiI+FVE/Lh6PS0ifln1+S3VHcvFiIg9I+LWiFgdEU9ExLtHQl9HxD9Uf9+rIuLmiGgtsa8jYnFEvBwRq3os22H/Rs1VVfsfjYjD+1PWsAr0OudmL8Em4N9l5iHAXOATVTsvBu7KzHcCd1WvS/T31O5K3uqrwJWZ+Q7gVeCcptRq8PwXYElmvgtop9b2ovs6IvYD/g6YnZnTgVHUphUpsa+vB47fbllv/ftB4J3V43zg2/0paFgFOvXNzT7sZeaLmflw9fz/UPsPfD9qbb2h2uwGYEFTKjiIql+7+tfAd6rXAfwNcGu1SVHtjog9gHnAdwEy84/VxHbF9zW1yQH/KiJagDHAixTY15nZCazbbnFv/XsitR8Lysx8ANgzIvapt6zhFuj1zM1elIiYCswCfglMzswXq1UvUZs3pzT/GbgI2FK9ngi8Vs0pBOX1+TSgG7iuGmb6TkSMpfC+zsw11H7p7H9RC/L1wArK7uueeuvfAWXccAv0EaWaivg24NOZ+XrPdVm73rSoa04j4gTg5cxc0ey6DKEW4HDg25k5C/i/bDe8UmhfT6B2NjoN2BcYy58OS4wIjezf4Rbofc7NXoqIGE0tzL+fmbdXi//31o9f1b8vN6t+g+Q9wEci4jlqw2l/Q218ec/qYzmU1+ddQFdm/rJ6fSu1gC+9r/8V8GxmdmfmRuB2av1fcl/31Fv/Dijjhlug9zk3ewmqcePvAk9k5n/qsepHwNnV87OBfx7qug2mzLwkM6dk5lRqfXt3Zp5B7Xdq/7barKh2Z+ZLwAsR8dfVomOBxym8r6kNtcyNiDHV3/vWdhfb19vprX9/BJxVXe0yF1jfY2imb5k5rB7Ah4DfAL8FPt/s+gxSG99L7SPYo8DK6vEhauPJdwFPAUuBvZpd10F8D+YDP66eHwQ8CDwN/Ddgt2bXr8FtnQksr/r7vwMTRkJfA/8IrAZWAf8V2K3EvgZupvY9wUZqn8jO6a1/gaB2Jd9vgceoXQVUd1ne+i9JhRhuQy6SpF4Y6JJUCANdkgphoEtSIQx0SSqEgS7VKSLmb50BUvpzZKBLUiEMdBUnIj4aEQ9GxMqIuLaaX/2NiLiymn/7rohoq7adGREPVHNP39FjXup3RMTSiHgkIh6OiLdXhx/XY+7y71d3ORIRV1Tz1z8aEd9oUtM1whnoKkpEHAycBrwnM2cCm4EzqE3+tDwzDwV+Dlxa7XIj8O8zcwa1O/O2Lv8+cHVmtgNHU7vTD2ozX36a2nz8BwHviYiJwEnAodVxLh/MNkq9MdBVmmOBI4CHImJl9fogatPx3lJt8z3gvdVc5Htm5s+r5TcA8yJiPLBfZt4BkJkbMvPNapsHM7MrM7dQm5JhKrWpXzcA342Ik4Gt20pDykBXaQK4ITNnVo+/zswv7WC7XZ3z4g89nm8GWrI2f/eR1GZKPAFYsovHlgbEQFdp7gL+NiLeBtt+u/FAan/rW2fx+7fALzJzPfBqRLyvWn4m8POs/UpUV0QsqI6xW0SM6a3Aat76PTLzX4B/oPYzctKQa+l7E2n4yMzHI+ILwP+MiL+gNsPdJ6j9cMSR1bqXqY2zQ23q0muqwH4GWFQtPxO4NiK+XB3j1J0UOx7454hopfYJ4TMNbpZUF2db1IgQEW9k5rhm10MaTA65SFIhPEOXpEJ4hi5JhTDQJakQBrokFcJAl6RCGOiSVIj/B9NJabz9gfRTAAAAAElFTkSuQmCC",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAEGCAYAAAB8Ys7jAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAYV0lEQVR4nO3dfZRVdb3H8fd373N0RAgHnEhAHSwzc2R4GAwxkTJvWppPUXl9APKhbmallVd7WFq5Vt5oZdlypbMUxetDeEFuZfdioiK6woeB8AHBWyHmEObwaKbkzPC9f+x9DmeAeWDOmTnzm/m81prFnD377P3dbPz4m9/5/X7b3B0REQlPVO4CRESkexTgIiKBUoCLiARKAS4iEigFuIhIoDK9ebIDDzzQq6ure/OUIiLBW758+UZ3r9p1e68GeHV1NQ0NDb15ShGR4JnZK3vari4UEZFAKcBFRAKlABcRCVSv9oGLSP/W3NxMY2Mj27dvL3cpQaqoqGD06NFks9ku7a8AF5GSaWxsZMiQIVRXV2Nm5S4nKO7Opk2baGxsZMyYMV16j7pQRKRktm/fzvDhwxXe3WBmDB8+fK9+e1GAi0hJKby7b2//7oII8IV/aOSuJ/c4DFJEZMAKIsB/8+wG5j3zarnLEJE+bvDgweUuoVcFEeBxZDS37ih3GSIifUoQAZ6NjdYdenKQiHSNu/PNb36Tmpoajj76aObNmwfAhg0bmDp1KuPGjaOmpobHH3+c1tZWZs6cmd/3hhtuKHP1XRfEMMI4imhRgIsE5Xu/WcWLf32jpMf84Mh3cc1pR3W63/3338/KlSt59tln2bhxI5MmTWLq1Kncc889fPzjH+fb3/42ra2tvPXWW6xcuZL169fzwgsvALB169aS1tyTgmiBZyKjZYe6UESka5544gnOOecc4jhmxIgRnHDCCTzzzDNMmjSJ22+/nWuvvZbnn3+eIUOGcNhhh7F27Vouu+wyFi1axLve9a5yl99lQbTAM5HR2qoWuEhIutJS7m1Tp05l6dKl/Pa3v2XmzJlcccUVXHDBBTz77LM8+OCD3Hzzzdx3333MmTOn3KV2SRgt8NhoVheKiHTR8ccfz7x582htbaWpqYmlS5dyzDHH8MorrzBixAguvvhiLrroIlasWMHGjRvZsWMHZ599Ntdddx0rVqwod/ldFkgLPNKHmCLSZWeeeSbLli2jtrYWM+NHP/oR73nPe5g7dy6zZ88mm80yePBg7rzzTtavX8+sWbPYkXbT/vCHPyxz9V0XRIBrGKGIdMWbb74JJDMaZ8+ezezZs9v8fMaMGcyYMWO394XU6i4URBeKhhGKiOwuiACPo4gWfYgpItJGEAGuYYQiIrsLI8BjY4fDDnWjiIjkhRHgUbLEomZjiojsFEaAx0mZ+iBTRGSnMAI8bYE3qx9cRCQvqADXdHoR6QtaWlrKXQIQSIDHaReK+sBFpDNnnHEGEydO5KijjqK+vh6ARYsWMWHCBGpraznxxBOBZNLPrFmzOProoxk7diwLFiwA2j4UYv78+cycOROAmTNn8sUvfpEPfehDXHnllTz99NMce+yxjB8/nilTpvDSSy8B0Nrayje+8Q1qamoYO3YsP//5z3nkkUc444wz8sd96KGHOPPMM4u+1k5nYprZHOBU4HV3r0m3DQPmAdXAOuAz7r6l6GraKzL/Iaa6UESC8b9XwWvPl/aY7zkaTrm+w13mzJnDsGHDePvtt5k0aRKnn346F198MUuXLmXMmDFs3rwZgB/84AcMHTqU559PatyypfMIa2xs5Pe//z1xHPPGG2/w+OOPk8lkWLx4Md/61rdYsGAB9fX1rFu3jpUrV5LJZNi8eTOVlZV86UtfoqmpiaqqKm6//XY+//nPF/3X0ZUW+B3Aybtsuwp42N0PBx5OX/eYfICrC0VEOnHjjTdSW1vL5MmTefXVV6mvr2fq1KmMGTMGgGHDhgGwePFiLr300vz7KisrOz329OnTieMYgG3btjF9+nRqamq4/PLLWbVqVf64X/jCF8hkMvnzmRnnn38+d911F1u3bmXZsmWccsopRV9rpy1wd19qZtW7bD4dmJZ+PxdYAvx70dW0IxNrGKFIcDppKfeEJUuWsHjxYpYtW8agQYOYNm0a48aNY82aNV0+RuGT4bdv397mZ/vvv3/+++9+97t85CMfYeHChaxbt45p06Z1eNxZs2Zx2mmnUVFRwfTp0/MBX4zu9oGPcPcN6fevASPa29HMLjGzBjNraGpq6tbJMlFuGKG6UESkfdu2baOyspJBgwaxZs0annzySbZv387SpUt5+eWXAfJdKCeddBI33XRT/r25LpQRI0awevVqduzYwcKFCzs816hRowC444478ttPOukkbrnllvwHnbnzjRw5kpEjR3Ldddcxa9asklxv0R9iursD7TaN3b3e3evcva6qqqpb58gPI1QXioh04OSTT6alpYUjjzySq666ismTJ1NVVUV9fT1nnXUWtbW1fPaznwXgO9/5Dlu2bKGmpoba2loeffRRAK6//npOPfVUpkyZwkEHHdTuua688kquvvpqxo8f32ZUykUXXcQhhxzC2LFjqa2t5Z577sn/7Nxzz+Xggw/myCOPLMn1WpK/neyUdKE8UPAh5kvANHffYGYHAUvc/YjOjlNXV+cNDQ17XeRDL/6Ni+9s4IHLPkzNqKF7/X4R6R2rV68uWTj1R1/+8pcZP348F154Ybv77Onv0MyWu3vdrvt2twX+ayC3qO4M4FfdPE6XaCq9iIRu4sSJPPfcc5x33nklO2ZXhhHeS/KB5YFm1ghcA1wP3GdmFwKvAJ8pWUV7EOdHoagPXETCtHz58pIfsyujUM5p50cnlriWdmkUikg43L3NSA7puq50aRcKYiZmbhSKxoGL9G0VFRVs2rRpr4NIkvDetGkTFRUVXX5PEM/E3NkCVxeKSF82evRoGhsb6e6Q4YGuoqKC0aNHd3n/MAJcMzFFgpDNZvMzHqXnhdWFoj5wEZG8MAI87ULRAx1ERHYKIsBjrUYoIrKbIAI8q1EoIiK7CSLAY41CERHZTRABntVUehGR3QQR4LGGEYqI7CaIAM/omZgiIrsJI8BzT6VXH7iISF4QAR7rgQ4iIrsJIsCzce6RagpwEZGcIAI8bYBrPXARkQJBBLiZkY1NH2KKiBQIIsAh6QdXgIuI7BRMgGejSOPARUQKBBPgcWwaRigiUiCYAM9ERrO6UERE8gIK8IhWdaGIiOQFE+BxZDSrC0VEJC+YAM/Gpok8IiIFggnwODKNQhERKRBMgGfjSA90EBEpEEyAx5G6UERECgUT4JnItBqhiEiBogLczC43s1Vm9oKZ3WtmFaUqbFeZOFILXESkQLcD3MxGAV8B6ty9BoiBz5WqsF3FkdGs1QhFRPKK7ULJAPuZWQYYBPy1+JL2TMMIRUTa6naAu/t64MfAX4ANwDZ3/12pCttVHEWaSi8iUqCYLpRK4HRgDDAS2N/MztvDfpeYWYOZNTQ1NXW70GykxaxERAoV04XyMeBld29y92bgfmDKrju5e72717l7XVVVVbdPpok8IiJtFRPgfwEmm9kgMzPgRGB1acraXUZP5BERaaOYPvCngPnACuD59Fj1JaprN5lIwwhFRAplinmzu18DXFOiWjqU0TBCEZE2wpmJqWGEIiJtBBPgcRRpKr2ISIFgAjyrZ2KKiLQRTIDHkUahiIgUCibAMxoHLiLSRjgBrtUIRUTaCCfA9VBjEZE2AgrwCHfYoVa4iAgQUoDHBqBWuIhIKpwAj5IAVz+4iEgimACP0wDXUEIRkUQwAZ5rgWsooYhIIpwAj5NSW9QHLiIChBTgaoGLiLQRToCnLXB9iCkikggnwNMWuNYEFxFJhBPgsYYRiogUCifANYxQRKSNYAI8jtJRKPoQU0QECCjAc10oGkYoIpIIJ8DVhSIi0kZAAa4uFBGRQuEEuLpQRETaCCfA1YUiItJGQAGezsRUF4qICBBQgO9cTlZdKCIiEFCAZ2N1oYiIFAomwGOtRigi0kZRAW5mB5jZfDNbY2arzezYUhW2q2x+PXAFuIgIQKbI9/8MWOTunzazfYBBJahpj3a2wNUHLiICRQS4mQ0FpgIzAdz9HeCd0pS1u4z6wEVE2iimC2UM0ATcbmZ/MLNbzWz/XXcys0vMrMHMGpqamrp9svwwQgW4iAhQXIBngAnAL9x9PPAP4Kpdd3L3enevc/e6qqqq7p8s1gMdREQKFRPgjUCjuz+Vvp5PEug9IjcTUy1wEZFEtwPc3V8DXjWzI9JNJwIvlqSqPYg1lV5EpI1iR6FcBtydjkBZC8wqvqQ9y2o1QhGRNooKcHdfCdSVppSORZFhpqn0IiI5wczEhKQVri4UEZFEUAEeR6YPMUVEUkEFeCY2DSMUEUmFFeBqgYuI5AUV4HEU0axRKCIiQGABno2NVo1CEREBAgvwODKNAxcRSQUV4NlYwwhFRHKCCnANIxQR2SmoAM9EGkYoIpITVoDHaoGLiOQEFeBxFNGsABcRAQIL8GykYYQiIjlBBXgcmSbyiIikggrwbBypD1xEJBVUgMeRaRy4iEgqqADPxkaLhhGKiACBBbgm8oiI7BRUgGeiSBN5RERSYQW4JvKIiOQFFeAaRigislNQAZ6NNIxQRCQnqACPYw0jFBHJCSrAs5HRoqn0IiJAYAEeRxGt6gMXEQECC/BMbDSrBS4iAoQW4JrIIyKSV3SAm1lsZn8wswdKUVBHMukwQneFuIhIKVrgXwVWl+A4ncrESblqhIuIFBngZjYa+CRwa2nK6VgcGYBGooiIUHwL/KfAlUC7iWpml5hZg5k1NDU1FXWybJwGuEaiiIh0P8DN7FTgdXdf3tF+7l7v7nXuXldVVdXd0wHJMEJAk3lERCiuBX4c8CkzWwf8Eviomd1Vkqrakcl1oWhFQhGR7ge4u1/t7qPdvRr4HPCIu59Xssr2IJN2oWgooYhIgOPAAZoV4CIiZEpxEHdfAiwpxbE6kkn7wDWdXkQktBZ4rGGEIiI5YQW4RqGIiOQFFeD5iTzqQhERCSvAM5qJKSKSF1aA5/vA1QIXEQkrwHN94OpCEREJLMA1CkVEJC+sAI80E1NEJCesAI/VhSIikhNWgEf6EFNEJCeoAI+1GqGISF5QAZ7VMEIRkbygAnznAx3UAhcRCSrAM5pKLyKSF1aA64EOIiJ5YQV42oWiBzqIiAQX4GkLXKNQRETCCvBYo1BERPKCCvCsHuggIpIXVIBrIo+IyE5BBbim0ouI7BRUgEeREZmGEYqIQGABDsmKhM2ayCMiEmCAR0arptKLiIQX4HFkaoGLiBBggGfjSH3gIiIEGOBxZFqNUESEIgLczA42s0fN7EUzW2VmXy1lYe3JRqbVCEVEgEwR720Bvu7uK8xsCLDczB5y9xdLVNsexbGpC0VEhCJa4O6+wd1XpN//HVgNjCpVYe3JRpFWIxQRoUR94GZWDYwHntrDzy4xswYza2hqair6XLGGEYqIACUIcDMbDCwAvubub+z6c3evd/c6d6+rqqoq9nQaRigikioqwM0sSxLed7v7/aUpqWMaRigikihmFIoBtwGr3f0npSupY0kLXF0oIiLFtMCPA84HPmpmK9OvT5SornZlNQpFRAQoYhihuz8BWAlr6ZJkIo8CXEQkuJmY2TjSAx1ERChuIk9ZJMMIkxb4+q1v87tVr6EGuYj0dWdPGMUBg/Yp6TGDC/BMOozw9Te285mbl7F+69vlLklEpFMnvL9KAZ6JIt78Zwufn/sMW956hwX/dizve/eQcpclItKhwfuWPm6DC/A4Nv6y+S0ig9tmTGLiocPKXZKISFkE9yHmPnFS8vdPr+EjH3h3masRESmf4FrgFxx7KFPeO5zpdQeXuxQRkbIKLsDHH1LJ+EMqy12GiEjZBdeFIiIiCQW4iEigFOAiIoFSgIuIBEoBLiISqOBGofD6GvjTQ7BfJew3DPYdAtbriyKKiOydkRNgn0ElPWR4Af7g1fDnR8pdhYjI3rn0Gah6f0kPGVaAt/wTXlkGE2fBh78Gb22Gd94sd1UiIp0bOqrkhwwrwF99GlrehsP/BSqrky8RkQEqrA8x1y4Bi6H6uHJXIiJSdmEF+MuPwagJUDG03JWIiJRdOAG+fRusXw6HTSt3JSIifUI4Ab7uCfAdMOaEclciItInhBPgax+DzH5w8DHlrkREpE8IKMCXwKFTILNvuSsREekTwgjwNzbAxpfgMHWfiIjkhBHgLz+W/KkPMEVE8sII8LVLknVPRhxd7kpERPqMMGZiHvh+GDwCojD+fyMi0hvCCPDjryh3BSIifU5RTVozO9nMXjKzP5nZVaUqSkREOtftADezGLgJOAX4IHCOmX2wVIWJiEjHimmBHwP8yd3Xuvs7wC+B00tTloiIdKaYAB8FvFrwujHd1oaZXWJmDWbW0NTUVMTpRESkUI8P63D3enevc/e6qqqqnj6diMiAUUyArwcOLng9Ot0mIiK9oJgAfwY43MzGmNk+wOeAX5emLBER6Uy3x4G7e4uZfRl4EIiBOe6+qmSViYhIh8zde+9kZk3AK918+4HAxhKWE4qBeN0D8ZphYF63rrlrDnX33T5E7NUAL4aZNbh7Xbnr6G0D8boH4jXDwLxuXXNxtLiIiEigFOAiIoEKKcDry11AmQzE6x6I1wwD87p1zUUIpg9cRETaCqkFLiIiBRTgIiKBCiLAB8K642Z2sJk9amYvmtkqM/tqun2YmT1kZn9M/6wsd62lZmaxmf3BzB5IX48xs6fS+z0vnenbr5jZAWY238zWmNlqMzu2v99rM7s8/bf9gpnda2YV/fFem9kcM3vdzF4o2LbHe2uJG9Prf87MJuzNufp8gA+gdcdbgK+7+weBycCl6XVeBTzs7ocDD6ev+5uvAqsLXv8HcIO7vw/YAlxYlqp61s+ARe7+AaCW5Pr77b02s1HAV4A6d68hmb39Ofrnvb4DOHmXbe3d21OAw9OvS4Bf7M2J+nyAM0DWHXf3De6+Iv3+7yT/QY8iuda56W5zgTPKUmAPMbPRwCeBW9PXBnwUmJ/u0h+veSgwFbgNwN3fcfet9PN7TbJ0x35mlgEGARvoh/fa3ZcCm3fZ3N69PR240xNPAgeY2UFdPVcIAd6ldcf7EzOrBsYDTwEj3H1D+qPXgBHlqquH/BS4EtiRvh4ObHX3lvR1f7zfY4Am4Pa06+hWM9uffnyv3X098GPgLyTBvQ1YTv+/1znt3dui8i2EAB9QzGwwsAD4mru/UfgzT8Z89ptxn2Z2KvC6uy8vdy29LANMAH7h7uOBf7BLd0k/vNeVJK3NMcBIYH9272YYEEp5b0MI8AGz7riZZUnC+253vz/d/Lfcr1Tpn6+Xq74ecBzwKTNbR9I19lGSvuED0l+zoX/e70ag0d2fSl/PJwn0/nyvPwa87O5N7t4M3E9y//v7vc5p794WlW8hBPiAWHc87fu9DVjt7j8p+NGvgRnp9zOAX/V2bT3F3a9299HuXk1yXx9x93OBR4FPp7v1q2sGcPfXgFfN7Ih004nAi/Tje03SdTLZzAal/9Zz19yv73WB9u7tr4EL0tEok4FtBV0tnXP3Pv8FfAL4P+DPwLfLXU8PXeOHSX6teg5YmX59gqRP+GHgj8BiYFi5a+2h658GPJB+fxjwNPAn4L+AfctdXw9c7zigIb3f/w1U9vd7DXwPWAO8APwnsG9/vNfAvST9/M0kv21d2N69BYxklN2fgedJRul0+VyaSi8iEqgQulBERGQPFOAiIoFSgIuIBEoBLiISKAW4iEigFOAiHTCzablVEkX6GgW4iEigFODSL5jZeWb2tJmtNLNb0jXG3zSzG9I1qB82s6p033Fm9mS6/vLCgrWZ32dmi83sWTNbYWbvTQ8/uGDt7rvTmYSY2fXp+u3PmdmPy3TpMoApwCV4ZnYk8FngOHcfB7QC55IsmNTg7kcBjwHXpG+5E/h3dx9LMvstt/1u4CZ3rwWmkMymg2RlyK+RrEd/GHCcmQ0HzgSOSo9zXU9eo8ieKMClPzgRmAg8Y2Yr09eHkSxROy/d5y7gw+la3Ae4+2Pp9rnAVDMbAoxy94UA7r7d3d9K93na3RvdfQfJEgfVJMuhbgduM7OzgNy+Ir1GAS79gQFz3X1c+nWEu1+7h/26u27EPwu+bwUynqxhfQzJSoKnAou6eWyRblOAS3/wMPBpM3s35J8/eCjJv+/cSnf/Cjzh7tuALWZ2fLr9fOAxT56C1GhmZ6TH2NfMBrV3wnTd9qHu/j/A5SSPRRPpVZnOdxHp29z9RTP7DvA7M4tIVoG7lORBCcekP3udpJ8ckuU8b04Dei0wK91+PnCLmX0/Pcb0Dk47BPiVmVWQ/AZwRYkvS6RTWo1Q+i0ze9PdB5e7DpGeoi4UEZFAqQUuIhIotcBFRAKlABcRCZQCXEQkUApwEZFAKcBFRAL1/8pGYj+YfmGhAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -3940,32 +3940,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 193,
+   "execution_count": 75,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "205/205 [==============================] - 1s 2ms/step\n"
+      "205/205 [==============================] - 1s 3ms/step\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "array([[-481.08313],\n",
-       "       [-517.1152 ],\n",
-       "       [-520.4204 ],\n",
-       "       [-587.10376],\n",
-       "       [-445.42715],\n",
-       "       [-682.849  ],\n",
-       "       [-218.84537],\n",
-       "       [-441.4541 ],\n",
-       "       [-588.932  ],\n",
-       "       [-654.73987]], dtype=float32)"
+       "array([[ -7759.602 ],\n",
+       "       [ -8330.247 ],\n",
+       "       [ -8638.613 ],\n",
+       "       [ -9964.959 ],\n",
+       "       [ -6650.5522],\n",
+       "       [-11286.692 ],\n",
+       "       [ -1133.2095],\n",
+       "       [ -7270.4478],\n",
+       "       [-10030.214 ],\n",
+       "       [-11538.344 ]], dtype=float32)"
       ]
      },
-     "execution_count": 193,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3978,16 +3978,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 190,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "205/205 [==============================] - 1s 2ms/step - loss: 0.7740 - accuracy: 0.9493\n",
-      "Model's loss: 0.7739633917808533\n",
-      "Model's accuracy: 94.93%\n"
+      "205/205 [==============================] - 2s 5ms/step - loss: 1.6695 - accuracy: 0.8906\n",
+      "Model's loss: 1.669487476348877\n",
+      "Model's accuracy: 89.06%\n"
      ]
     }
    ],
@@ -4007,7 +4007,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 179,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4015,13 +4015,13 @@
     "model2 = tf.keras.models.Sequential([\n",
     "    tf.keras.layers.Dense(100, activation=\"relu\"),\n",
     "    tf.keras.layers.Dense(10, activation=\"relu\"),\n",
-    "    tf.keras.layers.Dense(1)\n",
+    "    tf.keras.layers.Dense(1, activation=\"sigmoid\")\n",
     "])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 180,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4035,7 +4035,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 164,
+   "execution_count": 79,
    "metadata": {},
    "outputs": [
     {
@@ -4043,205 +4043,205 @@
      "output_type": "stream",
      "text": [
       "Epoch 1/100\n",
-      "819/819 [==============================] - 4s 3ms/step - loss: 0.9291 - accuracy: 0.9391\n",
+      "819/819 [==============================] - 6s 4ms/step - loss: 0.3595 - accuracy: 0.9709\n",
       "Epoch 2/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.7460 - accuracy: 0.9510\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.1570 - accuracy: 0.9742\n",
       "Epoch 3/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6322 - accuracy: 0.9587\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.2034 - accuracy: 0.9739\n",
       "Epoch 4/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6655 - accuracy: 0.9563\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.1773 - accuracy: 0.9737\n",
       "Epoch 5/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6221 - accuracy: 0.9594\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.1600 - accuracy: 0.9747\n",
       "Epoch 6/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.7354 - accuracy: 0.9518\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0962 - accuracy: 0.9756\n",
       "Epoch 7/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.6591 - accuracy: 0.9570\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0972 - accuracy: 0.9765\n",
       "Epoch 8/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6424 - accuracy: 0.9582\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.1000 - accuracy: 0.9762\n",
       "Epoch 9/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6233 - accuracy: 0.9594\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0727 - accuracy: 0.9773\n",
       "Epoch 10/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.7184 - accuracy: 0.9531\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0749 - accuracy: 0.9780\n",
       "Epoch 11/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6742 - accuracy: 0.9560\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0758 - accuracy: 0.9778\n",
       "Epoch 12/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6849 - accuracy: 0.9553\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0681 - accuracy: 0.9784\n",
       "Epoch 13/100\n",
-      "819/819 [==============================] - 4s 4ms/step - loss: 0.5983 - accuracy: 0.9611\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0715 - accuracy: 0.9782\n",
       "Epoch 14/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.5966 - accuracy: 0.9612\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0665 - accuracy: 0.9781\n",
       "Epoch 15/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6627 - accuracy: 0.9568\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0670 - accuracy: 0.9781\n",
       "Epoch 16/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6128 - accuracy: 0.9600\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0635 - accuracy: 0.9778\n",
       "Epoch 17/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6079 - accuracy: 0.9605\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0626 - accuracy: 0.9788\n",
       "Epoch 18/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.6463 - accuracy: 0.9579\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0638 - accuracy: 0.9792\n",
       "Epoch 19/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 0.6284 - accuracy: 0.9591\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0626 - accuracy: 0.9783\n",
       "Epoch 20/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0623 - accuracy: 0.9788\n",
       "Epoch 21/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0606 - accuracy: 0.9797\n",
       "Epoch 22/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0606 - accuracy: 0.9789\n",
       "Epoch 23/100\n",
-      "819/819 [==============================] - 4s 4ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0599 - accuracy: 0.9792\n",
       "Epoch 24/100\n",
-      "819/819 [==============================] - 4s 4ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0591 - accuracy: 0.9796\n",
       "Epoch 25/100\n",
-      "819/819 [==============================] - 4s 4ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0586 - accuracy: 0.9796\n",
       "Epoch 26/100\n",
-      "819/819 [==============================] - 4s 4ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0588 - accuracy: 0.9796\n",
       "Epoch 27/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0577 - accuracy: 0.9803\n",
       "Epoch 28/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0584 - accuracy: 0.9804\n",
       "Epoch 29/100\n",
-      "819/819 [==============================] - 4s 4ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0570 - accuracy: 0.9802\n",
       "Epoch 30/100\n",
-      "819/819 [==============================] - 4s 5ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0572 - accuracy: 0.9803\n",
       "Epoch 31/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0563 - accuracy: 0.9799\n",
       "Epoch 32/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0556 - accuracy: 0.9808\n",
       "Epoch 33/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0555 - accuracy: 0.9802\n",
       "Epoch 34/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0561 - accuracy: 0.9801\n",
       "Epoch 35/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0549 - accuracy: 0.9807\n",
       "Epoch 36/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 6s 7ms/step - loss: 0.0547 - accuracy: 0.9806\n",
       "Epoch 37/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0542 - accuracy: 0.9803\n",
       "Epoch 38/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0544 - accuracy: 0.9800\n",
       "Epoch 39/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0544 - accuracy: 0.9806\n",
       "Epoch 40/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0547 - accuracy: 0.9807\n",
       "Epoch 41/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0551 - accuracy: 0.9805\n",
       "Epoch 42/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0539 - accuracy: 0.9810\n",
       "Epoch 43/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0524 - accuracy: 0.9814\n",
       "Epoch 44/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0523 - accuracy: 0.9808\n",
       "Epoch 45/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0527 - accuracy: 0.9812\n",
       "Epoch 46/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0523 - accuracy: 0.9814\n",
       "Epoch 47/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0537 - accuracy: 0.9811\n",
       "Epoch 48/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0514 - accuracy: 0.9814\n",
       "Epoch 49/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0511 - accuracy: 0.9816\n",
       "Epoch 50/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0521 - accuracy: 0.9816\n",
       "Epoch 51/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0515 - accuracy: 0.9810\n",
       "Epoch 52/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0515 - accuracy: 0.9814\n",
       "Epoch 53/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0528 - accuracy: 0.9816\n",
       "Epoch 54/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0508 - accuracy: 0.9811\n",
       "Epoch 55/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0516 - accuracy: 0.9819\n",
       "Epoch 56/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0512 - accuracy: 0.9815\n",
       "Epoch 57/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0500 - accuracy: 0.9815\n",
       "Epoch 58/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0509 - accuracy: 0.9818\n",
       "Epoch 59/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0501 - accuracy: 0.9824\n",
       "Epoch 60/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0506 - accuracy: 0.9816\n",
       "Epoch 61/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0499 - accuracy: 0.9819\n",
       "Epoch 62/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0501 - accuracy: 0.9820\n",
       "Epoch 63/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0497 - accuracy: 0.9814\n",
       "Epoch 64/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0502 - accuracy: 0.9812\n",
       "Epoch 65/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0492 - accuracy: 0.9819\n",
       "Epoch 66/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0499 - accuracy: 0.9824\n",
       "Epoch 67/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0490 - accuracy: 0.9822\n",
       "Epoch 68/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0491 - accuracy: 0.9827\n",
       "Epoch 69/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0500 - accuracy: 0.9817\n",
       "Epoch 70/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0490 - accuracy: 0.9825\n",
       "Epoch 71/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0501 - accuracy: 0.9821\n",
       "Epoch 72/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0495 - accuracy: 0.9820\n",
       "Epoch 73/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0489 - accuracy: 0.9824\n",
       "Epoch 74/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0483 - accuracy: 0.9820\n",
       "Epoch 75/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0483 - accuracy: 0.9825\n",
       "Epoch 76/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0484 - accuracy: 0.9825\n",
       "Epoch 77/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0488 - accuracy: 0.9823\n",
       "Epoch 78/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0488 - accuracy: 0.9828\n",
       "Epoch 79/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0487 - accuracy: 0.9822\n",
       "Epoch 80/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0488 - accuracy: 0.9826\n",
       "Epoch 81/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0476 - accuracy: 0.9832\n",
       "Epoch 82/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0477 - accuracy: 0.9827\n",
       "Epoch 83/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0476 - accuracy: 0.9829\n",
       "Epoch 84/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0482 - accuracy: 0.9820\n",
       "Epoch 85/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0479 - accuracy: 0.9825\n",
       "Epoch 86/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0480 - accuracy: 0.9829\n",
       "Epoch 87/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0487 - accuracy: 0.9819\n",
       "Epoch 88/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0477 - accuracy: 0.9824\n",
       "Epoch 89/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0469 - accuracy: 0.9830\n",
       "Epoch 90/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0480 - accuracy: 0.9823\n",
       "Epoch 91/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0473 - accuracy: 0.9827\n",
       "Epoch 92/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0464 - accuracy: 0.9829\n",
       "Epoch 93/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0477 - accuracy: 0.9834\n",
       "Epoch 94/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0474 - accuracy: 0.9833\n",
       "Epoch 95/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0470 - accuracy: 0.9833\n",
       "Epoch 96/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0476 - accuracy: 0.9832\n",
       "Epoch 97/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0458 - accuracy: 0.9825\n",
       "Epoch 98/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0471 - accuracy: 0.9830\n",
       "Epoch 99/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0469 - accuracy: 0.9833\n",
       "Epoch 100/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.6198 - accuracy: 0.9597\n"
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0469 - accuracy: 0.9839\n"
      ]
     }
    ],
@@ -4252,7 +4252,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 165,
+   "execution_count": 80,
    "metadata": {},
    "outputs": [
     {
@@ -4261,13 +4261,13 @@
        "Text(0.5, 0, 'epochs')"
       ]
      },
-     "execution_count": 165,
+     "execution_count": 80,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -4286,32 +4286,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 194,
+   "execution_count": 81,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "205/205 [==============================] - 1s 2ms/step\n"
+      "205/205 [==============================] - 1s 3ms/step\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "array([[-264.63284],\n",
-       "       [-283.29413],\n",
-       "       [-286.07956],\n",
-       "       [-321.1211 ],\n",
-       "       [-246.42178],\n",
-       "       [-372.40796],\n",
-       "       [-134.3349 ],\n",
-       "       [-244.49837],\n",
-       "       [-321.4114 ],\n",
-       "       [-355.03427]], dtype=float32)"
+       "array([[1.7528284e-04],\n",
+       "       [8.0027618e-05],\n",
+       "       [8.4033134e-05],\n",
+       "       [3.1164025e-05],\n",
+       "       [1.6029259e-03],\n",
+       "       [3.7440168e-05],\n",
+       "       [3.9164387e-02],\n",
+       "       [2.7139680e-02],\n",
+       "       [3.6439458e-05],\n",
+       "       [1.5560136e-05]], dtype=float32)"
       ]
      },
-     "execution_count": 194,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4324,16 +4324,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 189,
+   "execution_count": 82,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "205/205 [==============================] - 1s 2ms/step - loss: 1.4963 - accuracy: 0.9030\n",
-      "Model's loss: 1.4963089227676392\n",
-      "Model's accuracy: 90.30%\n"
+      "205/205 [==============================] - 1s 5ms/step - loss: 0.0641 - accuracy: 0.9801\n",
+      "Model's loss: 0.06405562907457352\n",
+      "Model's accuracy: 98.01%\n"
      ]
     }
    ],
@@ -4353,7 +4353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 181,
+   "execution_count": 83,
    "metadata": {},
    "outputs": [
     {
@@ -4451,7 +4451,7 @@
        "70791  0.508198   2.130019  "
       ]
      },
-     "execution_count": 181,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4463,7 +4463,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 182,
+   "execution_count": 84,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4475,7 +4475,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 184,
+   "execution_count": 85,
    "metadata": {},
    "outputs": [
     {
@@ -4495,7 +4495,7 @@
        "         0.75545046, 0.67096532, 0.24448706]]))"
       ]
      },
-     "execution_count": 184,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4507,7 +4507,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 183,
+   "execution_count": 86,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4521,7 +4521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 185,
+   "execution_count": 87,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4535,7 +4535,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 186,
+   "execution_count": 88,
    "metadata": {},
    "outputs": [
     {
@@ -4543,205 +4543,205 @@
      "output_type": "stream",
      "text": [
       "Epoch 1/100\n",
-      "819/819 [==============================] - 6s 4ms/step - loss: 0.1527 - accuracy: 0.9519\n",
+      "819/819 [==============================] - 6s 4ms/step - loss: 0.1113 - accuracy: 0.9671\n",
       "Epoch 2/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.1245 - accuracy: 0.9591\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0804 - accuracy: 0.9756\n",
       "Epoch 3/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.1119 - accuracy: 0.9607\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0744 - accuracy: 0.9769\n",
       "Epoch 4/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.1043 - accuracy: 0.9612\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0703 - accuracy: 0.9770\n",
       "Epoch 5/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.1008 - accuracy: 0.9602\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0666 - accuracy: 0.9774\n",
       "Epoch 6/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0982 - accuracy: 0.9617\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0640 - accuracy: 0.9784\n",
       "Epoch 7/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0969 - accuracy: 0.9617\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0630 - accuracy: 0.9784\n",
       "Epoch 8/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0954 - accuracy: 0.9619\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0623 - accuracy: 0.9787\n",
       "Epoch 9/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0946 - accuracy: 0.9624\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0606 - accuracy: 0.9792\n",
       "Epoch 10/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0936 - accuracy: 0.9624\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0604 - accuracy: 0.9795\n",
       "Epoch 11/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0917 - accuracy: 0.9628\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0596 - accuracy: 0.9793\n",
       "Epoch 12/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0916 - accuracy: 0.9622\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0592 - accuracy: 0.9797\n",
       "Epoch 13/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0906 - accuracy: 0.9638\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0586 - accuracy: 0.9798\n",
       "Epoch 14/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0895 - accuracy: 0.9639\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0582 - accuracy: 0.9806\n",
       "Epoch 15/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0878 - accuracy: 0.9649\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0574 - accuracy: 0.9799\n",
       "Epoch 16/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0878 - accuracy: 0.9638\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0568 - accuracy: 0.9798\n",
       "Epoch 17/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0867 - accuracy: 0.9648\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0562 - accuracy: 0.9801\n",
       "Epoch 18/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0857 - accuracy: 0.9654\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0555 - accuracy: 0.9805\n",
       "Epoch 19/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.0854 - accuracy: 0.9665\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0554 - accuracy: 0.9802\n",
       "Epoch 20/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0841 - accuracy: 0.9665\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0537 - accuracy: 0.9808\n",
       "Epoch 21/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0834 - accuracy: 0.9666\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0535 - accuracy: 0.9806\n",
       "Epoch 22/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0833 - accuracy: 0.9665\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0531 - accuracy: 0.9811\n",
       "Epoch 23/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0840 - accuracy: 0.9667\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0527 - accuracy: 0.9806\n",
       "Epoch 24/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0821 - accuracy: 0.9668\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0516 - accuracy: 0.9806\n",
       "Epoch 25/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0833 - accuracy: 0.9671\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0515 - accuracy: 0.9805\n",
       "Epoch 26/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0816 - accuracy: 0.9673\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0505 - accuracy: 0.9811\n",
       "Epoch 27/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0816 - accuracy: 0.9672\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0498 - accuracy: 0.9817\n",
       "Epoch 28/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0806 - accuracy: 0.9676\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0491 - accuracy: 0.9814\n",
       "Epoch 29/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0809 - accuracy: 0.9678\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0488 - accuracy: 0.9817\n",
       "Epoch 30/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0810 - accuracy: 0.9678\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0485 - accuracy: 0.9820\n",
       "Epoch 31/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0810 - accuracy: 0.9680\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0485 - accuracy: 0.9818\n",
       "Epoch 32/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0804 - accuracy: 0.9688\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0479 - accuracy: 0.9819\n",
       "Epoch 33/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0805 - accuracy: 0.9681\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0482 - accuracy: 0.9816\n",
       "Epoch 34/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0797 - accuracy: 0.9681\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0481 - accuracy: 0.9822\n",
       "Epoch 35/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0797 - accuracy: 0.9684\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0466 - accuracy: 0.9821\n",
       "Epoch 36/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0795 - accuracy: 0.9687\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0471 - accuracy: 0.9823\n",
       "Epoch 37/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0798 - accuracy: 0.9686\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0462 - accuracy: 0.9828\n",
       "Epoch 38/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0797 - accuracy: 0.9684\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0469 - accuracy: 0.9828\n",
       "Epoch 39/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0787 - accuracy: 0.9693\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0460 - accuracy: 0.9827\n",
       "Epoch 40/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0794 - accuracy: 0.9686\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0470 - accuracy: 0.9830\n",
       "Epoch 41/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0793 - accuracy: 0.9690\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0469 - accuracy: 0.9828\n",
       "Epoch 42/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0780 - accuracy: 0.9690\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0461 - accuracy: 0.9832\n",
       "Epoch 43/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.0783 - accuracy: 0.9694\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0449 - accuracy: 0.9834\n",
       "Epoch 44/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.0787 - accuracy: 0.9689\n",
+      "819/819 [==============================] - 6s 7ms/step - loss: 0.0458 - accuracy: 0.9837\n",
       "Epoch 45/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0781 - accuracy: 0.9698\n",
+      "819/819 [==============================] - 6s 8ms/step - loss: 0.0461 - accuracy: 0.9828\n",
       "Epoch 46/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0776 - accuracy: 0.9697\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0447 - accuracy: 0.9836\n",
       "Epoch 47/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0783 - accuracy: 0.9693\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0456 - accuracy: 0.9833\n",
       "Epoch 48/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0776 - accuracy: 0.9700\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0448 - accuracy: 0.9836\n",
       "Epoch 49/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0770 - accuracy: 0.9696\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0450 - accuracy: 0.9833\n",
       "Epoch 50/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0779 - accuracy: 0.9698\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0450 - accuracy: 0.9841\n",
       "Epoch 51/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0777 - accuracy: 0.9698\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0448 - accuracy: 0.9838\n",
       "Epoch 52/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0776 - accuracy: 0.9694\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0453 - accuracy: 0.9832\n",
       "Epoch 53/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0769 - accuracy: 0.9693\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0451 - accuracy: 0.9836\n",
       "Epoch 54/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0769 - accuracy: 0.9693\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0442 - accuracy: 0.9835\n",
       "Epoch 55/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0768 - accuracy: 0.9706\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0446 - accuracy: 0.9841\n",
       "Epoch 56/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0771 - accuracy: 0.9693\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0455 - accuracy: 0.9830\n",
       "Epoch 57/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0764 - accuracy: 0.9699\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0440 - accuracy: 0.9834\n",
       "Epoch 58/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0768 - accuracy: 0.9696\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0445 - accuracy: 0.9835\n",
       "Epoch 59/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0764 - accuracy: 0.9704\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0441 - accuracy: 0.9840\n",
       "Epoch 60/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0765 - accuracy: 0.9701\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0440 - accuracy: 0.9838\n",
       "Epoch 61/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.0761 - accuracy: 0.9705\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0436 - accuracy: 0.9839\n",
       "Epoch 62/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0762 - accuracy: 0.9704\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0440 - accuracy: 0.9840\n",
       "Epoch 63/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0768 - accuracy: 0.9698\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0443 - accuracy: 0.9843\n",
       "Epoch 64/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0761 - accuracy: 0.9705\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0436 - accuracy: 0.9838\n",
       "Epoch 65/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0758 - accuracy: 0.9701\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0434 - accuracy: 0.9841\n",
       "Epoch 66/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0762 - accuracy: 0.9703\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0430 - accuracy: 0.9845\n",
       "Epoch 67/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0755 - accuracy: 0.9706\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0430 - accuracy: 0.9845\n",
       "Epoch 68/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0758 - accuracy: 0.9712\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0428 - accuracy: 0.9844\n",
       "Epoch 69/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0766 - accuracy: 0.9699\n",
+      "819/819 [==============================] - 5s 6ms/step - loss: 0.0434 - accuracy: 0.9848\n",
       "Epoch 70/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0756 - accuracy: 0.9705\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0427 - accuracy: 0.9842\n",
       "Epoch 71/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0764 - accuracy: 0.9704\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0436 - accuracy: 0.9843\n",
       "Epoch 72/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0758 - accuracy: 0.9707\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0434 - accuracy: 0.9842\n",
       "Epoch 73/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0747 - accuracy: 0.9715\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0427 - accuracy: 0.9848\n",
       "Epoch 74/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0751 - accuracy: 0.9707\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0430 - accuracy: 0.9845\n",
       "Epoch 75/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0751 - accuracy: 0.9711\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0428 - accuracy: 0.9846\n",
       "Epoch 76/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0752 - accuracy: 0.9710\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0427 - accuracy: 0.9849\n",
       "Epoch 77/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0754 - accuracy: 0.9715\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0430 - accuracy: 0.9848\n",
       "Epoch 78/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0746 - accuracy: 0.9716\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0427 - accuracy: 0.9851\n",
       "Epoch 79/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0752 - accuracy: 0.9702\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0426 - accuracy: 0.9842\n",
       "Epoch 80/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0749 - accuracy: 0.9712\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0424 - accuracy: 0.9842\n",
       "Epoch 81/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.0746 - accuracy: 0.9715\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0423 - accuracy: 0.9848\n",
       "Epoch 82/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0743 - accuracy: 0.9714\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0417 - accuracy: 0.9850\n",
       "Epoch 83/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.0748 - accuracy: 0.9706\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0425 - accuracy: 0.9841\n",
       "Epoch 84/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0750 - accuracy: 0.9705\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0427 - accuracy: 0.9841\n",
       "Epoch 85/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0749 - accuracy: 0.9712\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0419 - accuracy: 0.9847\n",
       "Epoch 86/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0745 - accuracy: 0.9713\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0420 - accuracy: 0.9845\n",
       "Epoch 87/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0749 - accuracy: 0.9713\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0422 - accuracy: 0.9844\n",
       "Epoch 88/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0743 - accuracy: 0.9714\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0416 - accuracy: 0.9851\n",
       "Epoch 89/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0739 - accuracy: 0.9711\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0412 - accuracy: 0.9854\n",
       "Epoch 90/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0736 - accuracy: 0.9716\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0418 - accuracy: 0.9845\n",
       "Epoch 91/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0738 - accuracy: 0.9709\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0420 - accuracy: 0.9848\n",
       "Epoch 92/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0743 - accuracy: 0.9709\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0421 - accuracy: 0.9845\n",
       "Epoch 93/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0741 - accuracy: 0.9712\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0420 - accuracy: 0.9848\n",
       "Epoch 94/100\n",
-      "819/819 [==============================] - 3s 4ms/step - loss: 0.0738 - accuracy: 0.9715\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0415 - accuracy: 0.9857\n",
       "Epoch 95/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0735 - accuracy: 0.9715\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0410 - accuracy: 0.9851\n",
       "Epoch 96/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0732 - accuracy: 0.9723\n",
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0408 - accuracy: 0.9854\n",
       "Epoch 97/100\n",
-      "819/819 [==============================] - 3s 3ms/step - loss: 0.0737 - accuracy: 0.9712\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0407 - accuracy: 0.9849\n",
       "Epoch 98/100\n",
-      "819/819 [==============================] - 2s 3ms/step - loss: 0.0740 - accuracy: 0.9712\n",
+      "819/819 [==============================] - 4s 5ms/step - loss: 0.0414 - accuracy: 0.9846\n",
       "Epoch 99/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.0740 - accuracy: 0.9713\n",
+      "819/819 [==============================] - 3s 4ms/step - loss: 0.0418 - accuracy: 0.9844\n",
       "Epoch 100/100\n",
-      "819/819 [==============================] - 2s 2ms/step - loss: 0.0739 - accuracy: 0.9718\n"
+      "819/819 [==============================] - 4s 4ms/step - loss: 0.0421 - accuracy: 0.9851\n"
      ]
     }
    ],
@@ -4752,7 +4752,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 187,
+   "execution_count": 89,
    "metadata": {},
    "outputs": [
     {
@@ -4761,13 +4761,13 @@
        "Text(0.5, 0, 'epochs')"
       ]
      },
-     "execution_count": 187,
+     "execution_count": 89,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -4786,32 +4786,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 195,
+   "execution_count": 90,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "205/205 [==============================] - 1s 2ms/step\n"
+      "205/205 [==============================] - 1s 3ms/step\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "array([[4.55526897e-05],\n",
-       "       [3.87764194e-05],\n",
-       "       [2.54933020e-05],\n",
-       "       [1.31453735e-05],\n",
-       "       [2.69948505e-03],\n",
-       "       [3.93824826e-04],\n",
-       "       [1.28121883e-01],\n",
-       "       [4.48188558e-02],\n",
-       "       [3.06769980e-05],\n",
-       "       [1.95198518e-05]], dtype=float32)"
+       "array([[4.0453640e-05],\n",
+       "       [3.0086510e-05],\n",
+       "       [5.1915515e-05],\n",
+       "       [1.2606321e-05],\n",
+       "       [2.5861128e-04],\n",
+       "       [4.4906023e-04],\n",
+       "       [4.2696923e-02],\n",
+       "       [2.4346646e-03],\n",
+       "       [3.0645508e-05],\n",
+       "       [2.0408210e-05]], dtype=float32)"
       ]
      },
-     "execution_count": 195,
+     "execution_count": 90,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4824,16 +4824,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 188,
+   "execution_count": 91,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "205/205 [==============================] - 1s 2ms/step - loss: 0.0869 - accuracy: 0.9650\n",
-      "Model's loss: 0.08693113178014755\n",
-      "Model's accuracy: 96.50%\n"
+      "205/205 [==============================] - 1s 4ms/step - loss: 0.0508 - accuracy: 0.9820\n",
+      "Model's loss: 0.0507788211107254\n",
+      "Model's accuracy: 98.20%\n"
      ]
     }
    ],
@@ -4846,17 +4846,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 209,
+   "execution_count": 92,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Accuracy: 0.97\n",
-      "Precision: 0.89\n",
-      "Recall: 0.73\n",
-      "F1 score: 0.80\n"
+      "Accuracy: 0.98\n",
+      "Precision: 0.95\n",
+      "Recall: 0.82\n",
+      "F1 score: 0.88\n"
      ]
     }
    ],
@@ -4882,7 +4882,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 191,
+   "execution_count": 93,
    "metadata": {},
    "outputs": [
     {
@@ -4915,20 +4915,20 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Model 1</td>\n",
-       "      <td>0.773963</td>\n",
-       "      <td>0.949282</td>\n",
+       "      <td>1.669487</td>\n",
+       "      <td>0.890620</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Model 2</td>\n",
-       "      <td>1.496309</td>\n",
-       "      <td>0.902994</td>\n",
+       "      <td>0.064056</td>\n",
+       "      <td>0.980141</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>Model 3</td>\n",
-       "      <td>0.086931</td>\n",
-       "      <td>0.965017</td>\n",
+       "      <td>0.050779</td>\n",
+       "      <td>0.981974</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -4936,12 +4936,12 @@
       ],
       "text/plain": [
        "     Model      Loss  Accuracy\n",
-       "0  Model 1  0.773963  0.949282\n",
-       "1  Model 2  1.496309  0.902994\n",
-       "2  Model 3  0.086931  0.965017"
+       "0  Model 1  1.669487  0.890620\n",
+       "1  Model 2  0.064056  0.980141\n",
+       "2  Model 3  0.050779  0.981974"
       ]
      },
-     "execution_count": 191,
+     "execution_count": 93,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4960,12 +4960,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 192,
+   "execution_count": 94,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 864x432 with 3 Axes>"
       ]
@@ -5002,12 +5002,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 206,
+   "execution_count": 95,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAs0AAAGDCAYAAADQ9S0AAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAiEElEQVR4nO3deZhlVXm28fuRltBMKtIqcxtHlAgin4nBj6BoFBRxDIMKJiroZ1TUGIcQBWOMUWOMMUbRoKgEDKgE0CCCKJgoCo0ggwYnBgFpFGRGhPf7Y+/SQ9ld6/Rwhu66f9dVV509nL3efWrTPLVq7b1SVUiSJElavntMugBJkiRp2hmaJUmSpAZDsyRJktRgaJYkSZIaDM2SJElSg6FZkiRJajA0S9KUSbJzkkuS3JTkmSvx/kOTfGoEpY1dkq8keUn/+vlJTlnJ4/xXkgNWb3WS5hNDs6Sp0wel65L8zqRrmZC3AR+oqg2r6vhl7ZBkvyRn98H6qj4UPn68Zf66lkpyc1/LT5K8N8k6q7udqjqqqv54iHp+65eGqtq9qo5c3TVJmj8MzZKmSpLFwP8FCnjGmNteMM725rANcOHyNiZ5LfA+4B3A/YGtgQ8Ce42juOXYvqo2BHYD9gNeOnuHKfp8JWmFGZolTZv9gW8AHwfu9uf0JFsl+WySpUl+luQDA9temuTiJDcmuSjJjv36SvLggf0+nuTt/etdk1yR5A1JrgY+luQ+SU7q27iuf73lwPs3SfKxJFf224/v11+QZM+B/e6Z5Nokj17WSfb1fj/Jz5OckGTzfv0PgN8FTux7bn9n1vvuRdcT/Yqq+mxV3VxVd1TViVX1+uW0dWySq5P8IskZSR45sG2P/vO6se8l/ot+/ab9uV/f13hmkub/M6rqu8CZwHZJFvef/4uTXAZ8uT/2n/U/q+uSfDHJNgP1PDnJd/taPwBkYNuLknxtYPmRSb7U1/fTJG9O8lTgzcDe/ed3Xr/v4DCPeyQ5JMmlSa5J8on+c2Wg5gOSXNb/DP+qdd6S1n6GZknTZn/gqP7rKUnuD9D/uf8k4FJgMbAFcEy/7XnAof17N6brof7ZkO09ANiErnf3QLp/Fz/WL28N3Ap8YGD/TwLrA48E7gf8Y7/+E8ALBvbbA7iqqs6d3WCSJwJ/B/wJsFl/TscAVNWDgMuAPfvhGbfPevvjgPWAzw15fgD/BTykr3cJ3Wc749+Ag6pqI2A7+mALvA64AlhE15v9Zrre/zkleQTdXwoGz/uPgG3pfp579cd6dn/sM4Gj+/duCnwWOATYFPgBsPNy2tkIOBU4GdgceDBwWlWdTNcD/+n+89t+GW9/Uf/1BLpfUDbk7j9jgMcDD6PrOX9Lkm1b5y5p7WZoljQ1+jG52wD/UVXn0IWm/frNj6ULR6/ve1dvq6qZXseXAO+qqm9V5/tVdemQzd4FvLWqbq+qW6vqZ1X1maq6papuBP6WLvSRZDNgd+BlVXVd38P71f44nwL2SLJxv/xCuoC9LM8HjqiqJX0ofhPwuH5oSst9gWur6ldDnh9VdURV3di3dSiw/UzPKnAH8IgkG/fntGRg/WbANv15nllVc4XmJUmuA04EPkr3i8eMQ/uf2a3Ay4C/q6qL+3N4B7BD39u8B3BhVR1XVXfQDUG5ejntPR24uqr+ob8Wbqyqs4b8SJ4PvLeqflhVN9F9/vvMGj5yWH89nAecBywrfEuaRwzNkqbJAcApVXVtv/zv/GaIxlbApcsJi1vRBeyVsbSqbptZSLJ+kg/3f7q/ATgDuHff070V8POqum72QarqSuC/geckuTdduD5q9n69zel6l2feexNdz/gWQ9T7M2DTYccHJ1knyTuT/KA/nx/3mzbtvz+HLqxemuSrSR7Xr3838H3glCQ/TPLGRlM7VtV9qupBVXVIVd01sO3ygdfbAP/UD/u4Hvg53RCMLeg+l1/v24f0wfcOWpWf+d0+//71Aroe9RmDYf0Wut5oSfOYoVnSVEiykG64wh/142+vBl5D1yu6PV142no5YfFy4EHLOfQtdMMpZjxg1vbZvaevo/uz/O9X1cbALjMl9u1s0ofiZTmSbojG84CvV9VPlrPflXThsTtwsgFdD/Ly9h/0deB24JlD7AtdT/1ewJOAe9ENbYF+rHDfO78X3dCN44H/6NffWFWvq6rfpRvu8tokuw3Z5myDn/HldMNB7j3wtbCq/ge4ii4MdwUmGVye5XK6oRWt9pblbp8/3TCcXwE/bbxP0jxmaJY0LZ4J3Ak8Atih/9qWbszr/sA36ULVO5NskGS9JDPjXT8K/EWSx6Tz4IGby74N7Nf3uD6VfqjFHDaiG8d8fZJNgLfObKiqq+jGB38w3Q2D90yyy8B7jwd2BF5NN8Z5eY4G/jTJDv2Nfu8AzqqqHzdqo6p+AbwF+Jckz+x7xu+ZZPck71rO+dxO10O9ft8WAEnWTffs43v1wyFuoBuuQpKn959jgF/Q/Wzu+q2jr7gPAW9KfzNiknv1Y9IBPg88Msmz+1+OXsVv/5Iz4yRgsyQHJ/mdJBsl+f1+20+BxVn+jYtHA69J8sAkG/KbMdBDD3mRNP8YmiVNiwOAj1XVZVV19cwX3Q1az6frGd2T7oavy+huUtsboKqOpRt7/O/AjXThdZP+uK/u33d9f5zjG3W8D1gIXEv3FI+TZ21/Id143+8C1wAHz2zox+x+Bngg3Q1ty1RVpwJ/3e97FV0v+T6Nugbf/w/Aa+lumFtK1+v65yz73D5BN/zgJ8BF/TnNPp8f90M3Xkb3GUF34+CpwE10vdsfrKrTh61xjto/B/w9cEzf5gV0Q1noh+U8D3gnXch/CN2Ql2Ud50bgyXQ/26uBS+hu7AM4tv/+syRLlvH2I+jGm58B/Ai4DXjlqp6bpLVb5r6vQ5K0IpK8BXhoVb2gubMkaY3hg+YlaTXph3O8mK73VpK0FnF4hiStBkleSjdM4r+q6oxJ1yNJWr0cniFJkiQ12NMsSZIkNRiaJUmSpIY14kbATTfdtBYvXjzpMiRJkrQWO+ecc66tqkXL2rZGhObFixdz9tlnT7oMSZIkrcWSXLq8bQ7PkCRJkhoMzZIkSVKDoVmSJElqMDRLkiRJDYZmSZIkqcHQLEmSJDUYmiVJkqQGQ7MkSZLUYGiWJEmSGgzNkiRJUsPIQnOSI5Jck+SCgXWbJPlSkkv67/cZVfuSJEnS6jLKnuaPA0+dte6NwGlV9RDgtH5ZkiRJmmojC81VdQbw81mr9wKO7F8fCTxzVO1LkiRJq8uCMbd3/6q6qn99NXD/5e2Y5EDgQICtt956DKVJkqRpkUy6Ak1S1aQr+G0TuxGwqgpY7kdSVYdX1U5VtdOiRYvGWJkkSZJ0d+MOzT9NshlA//2aMbcvSZIkrbBxh+YTgAP61wcA/znm9iVJkqQVNspHzh0NfB14WJIrkrwYeCfw5CSXAE/qlyVJkqSpNrIbAatq3+Vs2m1UbUqSJEmj4IyAkiRJUoOhWZIkSWowNEuSJEkNhmZJkiSpwdAsSZIkNRiaJUmSpAZDsyRJktRgaJYkSZIaDM2SJElSg6FZkiRJajA0S5IkSQ2GZkmSJKnB0CxJkiQ1GJolSZKkBkOzJEmS1GBoliRJkhoMzZIkSVKDoVmSJElqMDRLkiRJDYZmSZIkqcHQLEmSJDUYmiVJkqQGQ7MkSZLUYGiWJEmSGgzNkiRJUoOhWZIkSWowNEuSJEkNhmZJkiSpwdAsSZIkNRiaJUmSpAZDsyRJktRgaJYkSZIaDM2SJElSg6FZkiRJajA0S5IkSQ2GZkmSJKnB0CxJkiQ1GJolSZKkBkOzJEmS1GBoliRJkhoMzZIkSVKDoVmSJElqMDRLkiRJDYZmSZIkqcHQLEmSJDUYmiVJkqQGQ7MkSZLUYGiWJEmSGgzNkiRJUoOhWZIkSWowNEuSJEkNhmZJkiSpwdAsSZIkNUwkNCd5TZILk1yQ5Ogk602iDkmSJGkYYw/NSbYAXgXsVFXbAesA+4y7DkmSJGlYkxqesQBYmGQBsD5w5YTqkCRJkprGHpqr6ifAe4DLgKuAX1TVKbP3S3JgkrOTnL106dJxlylJkiT92iSGZ9wH2At4ILA5sEGSF8zer6oOr6qdqmqnRYsWjbtMSZIk6dcmMTzjScCPqmppVd0BfBb4wwnUIUmSJA1lEqH5MuAPkqyfJMBuwMUTqEOSJEkayiTGNJ8FHAcsAb7T13D4uOuQJEmShrVgEo1W1VuBt06ibUmSJGlFOSOgJEmS1GBoliRJkhoMzZIkSVKDoVmSJElqMDRLkiRJDYZmSZIkqcHQLEmSJDUYmiVJkqQGQ7MkSZLUYGiWJEmSGgzNkiRJUoOhWZIkSWowNEuSJEkNhmZJkiSpwdAsSZIkNRiaJUmSpAZDsyRJktRgaJYkSZIaDM2SJElSg6FZkiRJajA0S5IkSQ0LWjskuQewPbA5cCtwQVVdM+rCJEmSpGmx3NCc5EHAG4AnAZcAS4H1gIcmuQX4MHBkVd01jkIlSZKkSZmrp/ntwL8CB1VVDW5Icj9gP+CFwJGjK0+SJEmavOWG5qrad45t1wDvG0VBkiRJ0rQZ+kbAJA9O8qkkn0nyuFEWJUmSJE2TucY0r1dVtw2s+hvgL/vXJwI7jLAuSZIkaWrM1dN8YpL9B5bvABYD2wB3jrIoSZIkaZrMFZqfCmyc5OQkuwB/ATwFeBbw/HEUJ0mSJE2DuW4EvBP4QJJPAn8NvBw4pKp+MK7iJEmSpGkw15jm3wdeD/wSeAfdxCZ/m+QnwN9U1fVjqVCSJEmasLme0/xhYA9gQ+BjVbUzsE+SPwI+TTdUQ5IkSVrrzRWaf0V3498GdL3NAFTVV4GvjrYsSZIkaXrMFZr3Aw6iC8z7z7GfJEmStFabKzRfUlWvm+vNSTJ7im1JkiRpbTPXI+dOT/LKJFsPrkyybpInJjkSOGC05UmSJEmTN1dP81OBPwOOTvJA4HpgPWAd4BTgfVV17sgrlCRJkiZsruc03wZ8EPhgknsCmwK3+qg5SZIkzTdz9TT/WlXdAVw14lokSZKkqTTXmGZJkiRJGJolSZKkpqGGZyTZBnhIVZ2aZCGwoKpuHG1pkqRJ+spXMukSNEG77uoTZaVBzZ7mJC8FjqObVhtgS+D4EdYkSZIkTZVhhme8AtgZuAGgqi4B7jfKoiRJkqRpMkxovr2qfjmzkGQB4N9sJEmSNG8ME5q/muTNwMIkTwaOBU4cbVmSJEnS9BgmNL8RWAp8BzgI+AJwyCiLkiRJkqbJME/PWAgcUVUfAUiyTr/ullEWJkmSJE2LYXqaT6MLyTMWAqeOphxJkiRp+gwTmterqptmFvrX64+uJEmSJGm6DBOab06y48xCkscAt46uJEmSJGm6DDOm+WDg2CRXAgEeAOw9yqIkSZKkadIMzVX1rSQPBx7Wr/peVd0x2rIkSZKk6TFMTzPA/wEW9/vvmISq+sTKNprk3sBHge3oJkr5s6r6+soeT5IkSRqlZmhO8kngQcC3gTv71QWsdGgG/gk4uaqem2RdvLFQkiRJU2yYnuadgEdU1WqZOjvJvYBdgBcB9FN0/3Ku90iSJEmTNMzTMy6gu/lvdXkg3QyDH0tybpKPJtlg9k5JDkxydpKzly5duhqblyRJklbMMKF5U+CiJF9McsLM1yq0uQDYEfjXqno0cDPdVN13U1WHV9VOVbXTokWLVqE5SZIkadUMMzzj0NXc5hXAFVV1Vr98HMsIzZIkSdK0GOaRc19Nsg3wkKo6Ncn6wDor22BVXZ3k8iQPq6rvAbsBF63s8SRJkqRRG+bpGS8FDgQ2oXuKxhbAh+jC7sp6JXBU/+SMHwJ/ugrHkiRJkkZqmOEZrwAeC5wFUFWXJLnfqjRaVd+meyqHJEmSNPWGuRHw9v6xcAAkWUD3nGZJkiRpXhgmNH81yZuBhUmeDBwLnDjasiRJkqTpMUxofgPdc5W/AxwEfAE4ZJRFSZIkSdNkzjHNSdYBLqyqhwMfGU9JkiRJ0nSZs6e5qu4Evpdk6zHVI0mSJE2dYZ6ecR/gwiTfpJu9D4CqesbIqpIkSZKmyDCh+a9HXoUkSZI0xcY+I6AkSZK0pmk+PaOfEfA44MP9qi2A40dYkyRJkjRVhnnk3CuAnYEboJsREFilGQElSZKkNYkzAkqSJEkNzggoSZIkNQwTmt+IMwJKkiRpHlvu0zOSnFZVuwF/V1VvwBkBJUmSNE/N9ci5zZL8IfCMJMcAGdxYVUtGWpkkSZI0JeYKzW+hm9hkS+C9s7YV8MRRFSVJkiRNk7lC81VVtXuSt1TV28ZWkSRJkjRl5roR8P3992eOoQ5JkiRpas3V03xHksOBLZK8f/bGqnrV6MqSJEmSpsdcofnpwJOApwDnjKccSZIkafosNzRX1bXAMUkurqrzxliTJEmSNFXmek7zX1bVu4CXJPmtabMdniFJkqT5Yq7hGRf3388eRyGSJEnStJpreMaJ/fcjx1eOJEmSNH3meuQcSQ5IsiTJzf3X2Un2H1dxkiRJ0jSYa0zzAcDBwGuBJXTTaO8IvDtJVdUnx1KhJEmSNGFz9TS/HHhWVZ1eVb+oquur6svAc4BXjKc8SZIkafLmCs0bV9WPZ6/s1208qoIkSZKkaTPX0zNuXclta49k0hVokuq3nrQoSZLmqblC87ZJzl/G+gC/O6J6JEmSpKkzZ2geWxWSJEnSFJvrOc2XjrMQSZIkaVrN+ZxmSZIkSYZmSZIkqakZmpPsmcRwLUmSpHlrmDC8N3BJknclefioC5IkSZKmTTM0V9ULgEcDPwA+nuTrSQ5MstHIq5MkSZKmwFDDLqrqBuA44BhgM+BZwJIkrxxhbZIkSdJUGGZM8zOSfA74CnBP4LFVtTuwPfC60ZYnSZIkTd5ck5vMeA7wj1V1xuDKqrolyYtHU5YkSZI0PYYJzYcCV80sJFkI3L+qflxVp42qMEmSJGlaDDOm+VjgroHlO/t1kiRJ0rwwTGheUFW/nFnoX687upIkSZKk6TJMaF6a5BkzC0n2Aq4dXUmSJEnSdBlmTPPLgKOSfAAIcDmw/0irkiRJkqZIMzRX1Q+AP0iyYb9808irkiRJkqbIMD3NJHka8EhgvSQAVNXbRliXJEmSNDWGmdzkQ8DewCvphmc8D9hmxHVJkiRJU2OYGwH/sKr2B66rqsOAxwEPHW1ZkiRJ0vQYJjTf1n+/JcnmwB3AZqMrSZIkSZouw4xpPjHJvYF3A0uAAj4yyqIkSZKkaTJnaE5yD+C0qroe+EySk4D1quoX4yhOkiRJmgZzDs+oqruAfxlYvt3ALEmSpPlmmDHNpyV5TmaeNbeaJFknybl977UkSZI0tYYJzQcBxwK3J7khyY1JblgNbb8auHg1HEeSJEkaqWZorqqNquoeVbVuVW3cL2+8Ko0m2RJ4GvDRVTmOJEmSNA7Np2ck2WVZ66vqjFVo933AXwIbrcIxJEmSpLEY5pFzrx94vR7wWOAc4Ikr02CSpwPXVNU5SXadY78DgQMBtt5665VpSpIkSVotmqG5qvYcXE6yFV1P8craGXhGkj3oQvjGST5VVS+Y1e7hwOEAO+20U61Ce5IkSdIqGeZGwNmuALZd2Qar6k1VtWVVLQb2Ab48OzBLkiRJ02SYMc3/TDcLIHQhewe6mQElSZKkeWGYMc1nD7z+FXB0Vf336mi8qr4CfGV1HEuSJEkalWFC83HAbVV1J/x6UpL1q+qW0ZYmSZIkTYehZgQEFg4sLwROHU05kiRJ0vQZJjSvV1U3zSz0r9cfXUmSJEnSdBkmNN+cZMeZhSSPAW4dXUmSJEnSdBlmTPPBwLFJrgQCPADYe5RFSZIkSdNkmMlNvpXk4cDD+lXfq6o7RluWJEmSND2awzOSvALYoKouqKoLgA2T/L/RlyZJkiRNh2HGNL+0qq6fWaiq64CXjqwiSZIkacoME5rXSZKZhSTrAOuOriRJkiRpugxzI+DJwKeTfLhfPqhfJ0mSJM0Lw4TmNwAHAi/vl78EfGRkFUmSJElTpjk8o6ruqqoPVdVzq+q5wEXAP4++NEmSJGk6DNPTTJJHA/sCfwL8CPjsKIuSJEmSpslyQ3OSh9IF5X2Ba4FPA6mqJ4ypNkmSJGkqzNXT/F3gTODpVfV9gCSvGUtVkiRJ0hSZa0zzs4GrgNOTfCTJbnTTaEuSJEnzynJDc1UdX1X7AA8HTgcOBu6X5F+T/PGY6pMkSZImbpinZ9xcVf9eVXsCWwLn0j2GTpIkSZoXhpkR8Neq6rqqOryqdhtVQZIkSdK0WaHQLEmSJM1HhmZJkiSpwdAsSZIkNRiaJUmSpAZDsyRJktRgaJYkSZIaDM2SJElSg6FZkiRJajA0S5IkSQ2GZkmSJKnB0CxJkiQ1GJolSZKkBkOzJEmS1GBoliRJkhoMzZIkSVKDoVmSJElqMDRLkiRJDYZmSZIkqcHQLEmSJDUYmiVJkqQGQ7MkSZLUYGiWJEmSGgzNkiRJUoOhWZIkSWowNEuSJEkNhmZJkiSpwdAsSZIkNRiaJUmSpAZDsyRJktRgaJYkSZIaDM2SJElSg6FZkiRJajA0S5IkSQ2GZkmSJKlh7KE5yVZJTk9yUZILk7x63DVIkiRJK2LBBNr8FfC6qlqSZCPgnCRfqqqLJlCLJEmS1DT2nuaquqqqlvSvbwQuBrYYdx2SJEnSsCY6pjnJYuDRwFmTrEOSJEmay8RCc5INgc8AB1fVDcvYfmCSs5OcvXTp0vEXKEmSJPUmEpqT3JMuMB9VVZ9d1j5VdXhV7VRVOy1atGi8BUqSJEkDJvH0jAD/BlxcVe8dd/uSJEnSippET/POwAuBJyb5dv+1xwTqkCRJkoYy9kfOVdXXgIy7XUmSJGllOSOgJEmS1GBoliRJkhoMzZIkSVKDoVmSJElqMDRLkiRJDYZmSZIkqcHQLEmSJDUYmiVJkqQGQ7MkSZLUYGiWJEmSGgzNkiRJUoOhWZIkSWowNEuSJEkNhmZJkiSpwdAsSZIkNRiaJUmSpAZDsyRJktRgaJYkSZIaDM2SJElSg6FZkiRJajA0S5IkSQ2GZkmSJKnB0CxJkiQ1GJolSZKkBkOzJEmS1GBoliRJkhoMzZIkSVKDoVmSJElqMDRLkiRJDYZmSZIkqcHQLEmSJDUYmiVJkqQGQ7MkSZLUYGiWJEmSGgzNkiRJUoOhWZIkSWowNEuSJEkNhmZJkiSpwdAsSZIkNRiaJUmSpAZDsyRJktRgaJYkSZIaDM2SJElSg6FZkiRJajA0S5IkSQ2GZkmSJKnB0CxJkiQ1LJh0AZKWLYdl0iVowuqtNekSJEk9e5olSZKkBkOzJEmS1GBoliRJkhoMzZIkSVKDoVmSJElqmEhoTvLUJN9L8v0kb5xEDZIkSdKwxh6ak6wD/AuwO/AIYN8kjxh3HZIkSdKwJtHT/Fjg+1X1w6r6JXAMsNcE6pAkSZKGMonQvAVw+cDyFf06SZIkaSpN7YyASQ4EDuwXb0ryvUnWM09tClw76SImJs7INwXm9TWYQ70GJ2xeX3/g9Tdh8/r6m+D/grdZ3oZJhOafAFsNLG/Zr7ubqjocOHxcRem3JTm7qnaadB2av7wGNUlef5okr7/pM4nhGd8CHpLkgUnWBfYBTphAHZIkSdJQxt7TXFW/SvLnwBeBdYAjqurCcdchSZIkDWsiY5qr6gvAFybRtlaIw2M0aV6DmiSvP02S19+USVVNugZJkiRpqjmNtiRJktRgaF4LJakknxpYXpBkaZKTVvA4P06y6crsk+Rvk1ye5KYVaVNrvklff0nWT/L5JN9NcmGSd67YGWhNNunrr19/cpLz+uvvQ/1MuJqnkjyzvy4f3tjv4CTrr0I7L0rygZV9v9oMzWunm4Htkizsl5/MMh7rN2In0s3+qPlnGq6/91TVw4FHAzsn2X3M7WtypuH6+5Oq2h7YDlgEPG/M7Wu67At8rf8+l4OBlQ7NGj1D89rrC8DT+tf7AkfPbEiySZLjk5yf5BtJHtWvv2+SU/rekY8y8GT7JC9I8s0k307y4VbPSVV9o6quWv2npTXExK6/qrqlqk7vX/8SWEL3PHjNH5P+9++G/uUCYF3Am4fmqSQbAo8HXkz3iF2SrJPkPUku6K/DVyZ5FbA5cHqS0/v9bho4znOTfLx/vWeSs5Kcm+TUJPcf93nNV4bmtdcxwD5J1gMeBZw1sO0w4NyqehTwZuAT/fq3Al+rqkcCnwO2BkiyLbA3sHNV7QDcCTx/HCehNdZUXH9J7g3sCZy2iuejNcvEr78kXwSuAW4EjlsN56Q1017AyVX1v8DPkjyGbrbjxcAO/XV4VFW9H7gSeEJVPaFxzK8Bf1BVj6a71v9yZNXrbqZ2Gm2tmqo6P8liul6W2Y/3ezzwnH6/L/c9LBsDuwDP7td/Psl1/f67AY8BvpVuXsuFdP8zkJZpGq6/JAvoehjfX1U/XOWT0hpjGq6/qnpKH9qPAp4IfGlVz0trpH2Bf+pfH9MvPxD4UFX9CqCqfr6Cx9wS+HSSzej+kvGj1VSrGgzNa7cTgPcAuwL3XYXjBDiyqt60OorSvDHp6+9w4JKqet8qtK0116SvP6rqtiT/SdfbaGieZ5JsQvcL0+8lKboJ3YpuZuRhDA7rWW/g9T8D762qE5LsChy6ysVqKA7PWLsdARxWVd+Ztf5M+j8v9v/BXduPwTsD2K9fvztwn37/04DnJrlfv22TJNuMvHqt6SZ2/SV5O3AvuhtrND9N5PpLsmHfAzjz146nAd9dTeekNctzgU9W1TZVtbiqtqLrFT4POKi/PmbCNXRDeTYaeP9Pk2yb5B7AswbW34vf3Nx6wEjPQHdjaF6LVdUV/Tip2Q4FHpPkfOCd/OY/usOAXZJcSPdnysv641wEHAKc0r/nS8Bmc7Wd5F1JrgDWT3JFkkNXwylpDTKp6y/JlsBfAY8AlvQ3b71k9ZyV1hQT/PdvA+CEft9v0w3l+NAqn5DWRPvSjY8f9Bm66+cy4Pwk59H/skb317GTZ24EBN4InAT8DzB4Y/2hwLFJzgGuHU3pWhZnBJQkSZIa7GmWJEmSGgzNkiRJUoOhWZIkSWowNEuSJEkNhmZJkiSpwdAsSVMoSSX51MDygiRLk5y0gsf5cZJNV3UfSZrvDM2SNJ1uBrZLsrBffjK/mdBAkjRmhmZJml5foJtRDrqJEo6e2dDPTHd8kvOTfCPJo/r1901ySpILk3yUbhromfe8IMk3+wlfPpxkncHGkmyQ5PNJzktyQZK9R3+KkrRmMDRL0vQ6BtgnyXrAo4CzBrYdBpxbVY8C3gx8ol//VuBrVfVIutnItgZIsi2wN7BzVe0A3Ek/nfSApwJXVtX2VbUdcPJIzkqS1kALJl2AJGnZqur8JIvpepm/MGvz44Hn9Pt9ue9h3hjYhW4aaKrq80mu6/ffDXgM8K0kAAvppnge9B3gH5L8PXBSVZ25+s9KktZMhmZJmm4nAO8BdgXuuwrHCXBkVb1peTtU1f8m2RHYA3h7ktOq6m2r0KYkrTUcniFJ0+0I4LCq+s6s9WfSD69IsitwbVXdAJwB7Nev3x24T7//acBzk9yv37ZJkm0GD5hkc+CWqvoU8G5gx1GckCStiexplqQpVlVXAO9fxqZDgSOSnA/cAhzQrz8MODrJhcD/AJf1x7koySHAKUnuAdwBvAK4dOCYvwe8O8ld/faXr/4zkqQ1U6pq0jVIkiRJU83hGZIkSVKDoVmSJElqMDRLkiRJDYZmSZIkqcHQLEmSJDUYmiVJkqQGQ7MkSZLUYGiWJEmSGv4/XtfzocIf8HQAAAAASUVORK5CYII=",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 864x432 with 1 Axes>"
       ]
@@ -5027,7 +5027,7 @@
     "plt.bar([\"Model 1\", \"Model 2\", \"Model 3\", \"Actual\"], ratios, color=[\"r\", \"g\", \"y\", \"b\"])\n",
     "plt.ylabel(\"Accuracy Difference (%)\")\n",
     "plt.xlabel(\"Models\")\n",
-    "plt.title(\"Accuracy of Class Prediction\")\n",
+    "plt.title(\"Accuracy of Fault Prediction\")\n",
     "plt.show()\n"
    ]
   },