diff --git a/lab_7/lab_7.ipynb b/lab_7/lab_7.ipynb
index da7c9ab..52c218a 100644
--- a/lab_7/lab_7.ipynb
+++ b/lab_7/lab_7.ipynb
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -215,33 +215,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'ControlSystemVisualizer' object has no attribute 'ctrl'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[36], line 22\u001b[0m\n\u001b[0;32m     19\u001b[0m rule19 \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mRule(heart_disease[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhigh\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m glucose[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhight\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m bmi[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhight\u001b[39m\u001b[38;5;124m'\u001b[39m], stroke_risk[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhigh\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m     20\u001b[0m rule20 \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mRule(heart_disease[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlow\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m glucose[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnormal\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m bmi[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnormal\u001b[39m\u001b[38;5;124m'\u001b[39m], stroke_risk[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlow\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m---> 22\u001b[0m \u001b[43mrule1\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\rule.py:313\u001b[0m, in \u001b[0;36mRule.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    309\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    310\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    311\u001b[0m \u001b[38;5;124;03m    Show a visual representation of this Rule.\u001b[39;00m\n\u001b[0;32m    312\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 313\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mControlSystemVisualizer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\visualization.py:204\u001b[0m, in \u001b[0;36mControlSystemVisualizer.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    186\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    187\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    188\u001b[0m \u001b[38;5;124;03m    View the visualization.\u001b[39;00m\n\u001b[0;32m    189\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    202\u001b[0m \u001b[38;5;124;03m    inline.\u001b[39;00m\n\u001b[0;32m    203\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 204\u001b[0m     nx\u001b[38;5;241m.\u001b[39mdraw(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mctrl\u001b[49m\u001b[38;5;241m.\u001b[39mgraph, ax\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max)\n\u001b[0;32m    205\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfig, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max\n",
-      "\u001b[1;31mAttributeError\u001b[0m: 'ControlSystemVisualizer' object has no attribute 'ctrl'"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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AWne4VFdXp379+qUuXbqkIUOGpCVLlux23dmzZ6fhw4enQw89tJxGjBixx/UBAPZZuMydOzdNmDAhTZs2LS1btiz1798/VVVVpXXr1jW4/qJFi9KFF16YXnzxxbR48eLUt2/fdM4556QPPvig0qcGANq4dkVRFJVskM+wnH766enee+8t53fs2FHGyNVXX50mTZr0ldtv3769PPOStx8zZkyD62zdurWcam3atKl8jo0bN6auXbtWsrsAQAvJr9/dunXbp6/fFZ1x2bZtW1q6dGl5uafuAdq3L+fz2ZS98cknn6TPP/88HXbYYbtdZ8aMGeU3WjvlaAEAqChcNmzYUJ4x6dmzZ73leX7t2rV79RgTJ05MvXv3rhc/u5o8eXJZZ7XTmjVrKtlNAKCV6ticT3b77benOXPmlPe95Bt7d6dz587lBADQ6HDp3r176tChQ6qpqam3PM/36tVrj9veddddZbi88MIL6ZRTTqnkaQEAKr9U1KlTpzRw4MC0cOHCumX55tw8P3To0N1ud8cdd6Sbb745LViwIA0aNKiSpwQAaPylojwUeuzYsWWADB48OM2cOTNt2bIljRs3rvx6HinUp0+f8gbb7De/+U2aOnVqeuyxx8r3fqm9F+ZrX/taOQEANFm4jBo1Kq1fv76MkRwhAwYMKM+k1N6wu3r16nKkUa3777+/HI30ox/9qN7j5PeBufHGGyt9egCgDav4fVxayzhwAKCVv48LAEBLEi4AQBjCBQAIQ7gAAGEIFwAgDOECAIQhXACAMIQLABCGcAEAwhAuAEAYwgUACEO4AABhCBcAIAzhAgCEIVwAgDCECwAQhnABAMIQLgBAGMIFAAhDuAAAYQgXACAM4QIAhCFcAIAwhAsAEIZwAQDCEC4AQBjCBQAIQ7gAAGEIFwAgDOECAIQhXACAMIQLABCGcAEAwhAuAEAYwgUACEO4AABhCBcAIAzhAgCEIVwAgDCECwAQhnABAMIQLgBAGMIFAAhDuAAAYQgXACAM4QIAhCFcAIAwhAsAEIZwAQDCEC4AQBjCBQAIQ7gAAGEIFwAgDOECAIQhXACAMIQLABCGcAEAwhAuAEAYwgUACEO4AABhCBcAIAzhAgCEIVwAgNYdLtXV1alfv36pS5cuaciQIWnJkiV7XP9Pf/pTOv7448v1Tz755DR//vzG7i8A0IZVHC5z585NEyZMSNOmTUvLli1L/fv3T1VVVWndunUNrv/KK6+kCy+8MF1yySXptddeSxdccEE5vfHGG/ti/wGANqRdURRFJRvkMyynn356uvfee8v5HTt2pL59+6arr746TZo06Uvrjxo1Km3ZsiU9++yzdcu++93vpgEDBqRZs2Y1+Bxbt24tp1obN25MRxxxRFqzZk3q2rVrJbsLALSQTZs2lY3w8ccfp27duu2Tx+xYycrbtm1LS5cuTZMnT65b1r59+zRixIi0ePHiBrfJy/MZmp3lMzRPP/30bp9nxowZafr06V9anr95ACCWf/3rXy0TLhs2bEjbt29PPXv2rLc8z69YsaLBbdauXdvg+nn57uQw2jl2cqkdeeSRafXq1fvsG+d/q2dnv1qeY7H/cCz2L47H/qP2islhhx22zx6zonBpLp07dy6nXeVo8R/h/iEfB8di/+BY7D8ci/2L47H/yFdn9tljVbJy9+7dU4cOHVJNTU295Xm+V69eDW6Tl1eyPgDAPgmXTp06pYEDB6aFCxfWLcs35+b5oUOHNrhNXr7z+tnzzz+/2/UBAPbZpaJ878nYsWPToEGD0uDBg9PMmTPLUUPjxo0rvz5mzJjUp0+f8gbb7JprrklnnXVWuvvuu9N5552X5syZk1599dX0wAMP7PVz5stGefh1Q5ePaF6Oxf7Dsdh/OBb7F8ejdR+LiodDZ3ko9J133lneYJuHNf/2t78th0ln3/ve98o3p3vkkUfqvQHd9ddfn95777307W9/O91xxx3p3HPP3WffBADQNjQqXAAAWoLPKgIAwhAuAEAYwgUACEO4AABh7DfhUl1dXY5G6tKlSzlCacmSJXtcP49UOv7448v1Tz755DR//vxm29fWrpJjMXv27DR8+PB06KGHllP+3KqvOnY03c9Frfy2A+3atSs/iZ2WORb5o0quuuqqdPjhh5dDQY899li/p1roWOS37TjuuOPSgQceWH4UwPjx49Nnn33WbPvbWr300ktp5MiRqXfv3uXvmz19BmGtRYsWpdNOO638mTjmmGPqjUDea8V+YM6cOUWnTp2Khx9+uPj73/9eXHbZZcUhhxxS1NTUNLj+X//616JDhw7FHXfcUfzjH/8orr/++uKAAw4oXn/99Wbf99am0mNx0UUXFdXV1cVrr71WvPnmm8VPf/rTolu3bsU///nPZt/3tn4sar377rtFnz59iuHDhxc//OEPm21/W7NKj8XWrVuLQYMGFeeee27x8ssvl8dk0aJFxfLly5t939v6sfjDH/5QdO7cufwzH4fnnnuuOPzww4vx48c3+763NvPnzy+mTJlSPPnkk3l0cvHUU0/tcf1Vq1YVBx10UDFhwoTytft3v/td+Vq+YMGCip53vwiXwYMHF1dddVXd/Pbt24vevXsXM2bMaHD9H//4x8V5551Xb9mQIUOKn/3sZ02+r61dpcdiV1988UVx8MEHF48++mgT7mXb0Jhjkf/9n3HGGcWDDz5YjB07Vri00LG4//77i6OOOqrYtm1bM+5l21Dpscjrfv/736+3LL9wDhs2rMn3tS1JexEu1157bfGd73yn3rJRo0YVVVVVFT1Xi18q2rZtW1q6dGl5iWHnD2PK84sXL25wm7x85/Wzqqqq3a5P0x2LXX3yySfp888/36efBNoWNfZY3HTTTalHjx7pkksuaaY9bf0acyyeeeaZ8mNN8qWinj17ppNOOinddtttafv27c24561PY47FGWecUW5Tezlp1apV5SU7b4La/PbVa3eLfzr0hg0byh/m/MO9szy/YsWKBrfJ79jb0Pp5Oc17LHY1ceLE8nrnrv9x0vTH4uWXX04PPfRQWr58eTPtZdvQmGORXxz/8pe/pIsvvrh8kXz77bfTlVdeWUZ9fvtzmu9YXHTRReV2Z555Zr7CkL744ot0xRVXpOuuu66Z9pqveu3etGlT+vTTT8t7kPZGi59xofW4/fbby5tCn3rqqfKmOZrP5s2b0+jRo8ubpfOnuNOy8ofP5jNf+TPZ8gfTjho1Kk2ZMiXNmjWrpXetzck3g+azXffdd19atmxZevLJJ9O8efPSzTff3NK7RiO1+BmX/Eu2Q4cOqaampt7yPN+rV68Gt8nLK1mfpjsWte66664yXF544YV0yimnNPGetn6VHot33nmn/CywfIf/zi+eWceOHdPKlSvT0Ucf3Qx73vo05ucijyQ64IADyu1qnXDCCeX/cebLHZ06dWry/W6NGnMsbrjhhjLqL7300nI+j0LNHwx8+eWXlzGZLzXRPHb32t21a9e9PtuStfgRyz/A+f9IFi5cWO8Xbp7P14gbkpfvvH72/PPP73Z9mu5YZPlDM/P/vSxYsKD81HCa/1jktwZ4/fXXy8tEtdP555+fzj777PLveQgozfdzMWzYsPLyUG08Zm+99VYZNKKleY9Fvu9u1zipDUof1de89tlrd7GfDG/Lw9UeeeSRcojU5ZdfXg5vW7t2bfn10aNHF5MmTao3HLpjx47FXXfdVQ7BnTZtmuHQLXQsbr/99nJo4hNPPFF8+OGHddPmzZtb8Ltom8diV0YVtdyxWL16dTm67he/+EWxcuXK4tlnny169OhR3HLLLS34XbTNY5FfH/Kx+OMf/1gOx/3zn/9cHH300eXoVP43+fd8fiuMPOWcuOeee8q/v//+++XX83HIx2PX4dC//vWvy9fu/FYaYYdDZ3k89xFHHFG+CObhbn/729/qvnbWWWeVv4R39vjjjxfHHntsuX4eXjVv3rwW2OvWqZJjceSRR5b/we465V8WNP/Pxc6ES8sei1deeaV8m4b8IpuHRt96663lcHWa91h8/vnnxY033ljGSpcuXYq+ffsWV155ZfHvf/+7hfa+9XjxxRcb/P1f++8//5mPx67bDBgwoDx2+efi97//fcXP2y7/Y9+eDAIAaBotfo8LAMDeEi4AQBjCBQAIQ7gAAGEIFwAgDOECAIQhXACAMIQLABCGcAEAwhAuAEAYwgUASFH8Hz2QpG+Qts9tAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "rule1 = control.Rule(age['aged'] & hypertension['high'], stroke_risk['high'])\n",
     "rule2 = control.Rule(age['old'] & hypertension['high'], stroke_risk['high'])\n",
@@ -267,25 +243,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
-     "ename": "AttributeError",
-     "evalue": "'ControlSystemVisualizer' object has no attribute 'ctrl'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[37], line 25\u001b[0m\n\u001b[0;32m      1\u001b[0m stroke_ctrl \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mControlSystem([\n\u001b[0;32m      2\u001b[0m     rule1, \n\u001b[0;32m      3\u001b[0m     rule2, \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m     21\u001b[0m     rule20,\n\u001b[0;32m     22\u001b[0m     ])\n\u001b[0;32m     24\u001b[0m stroke \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mControlSystemSimulation(stroke_ctrl)\n\u001b[1;32m---> 25\u001b[0m \u001b[43mstroke_ctrl\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\controlsystem.py:134\u001b[0m, in \u001b[0;36mControlSystem.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    130\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    131\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    132\u001b[0m \u001b[38;5;124;03m    View a representation of the system NetworkX graph.\u001b[39;00m\n\u001b[0;32m    133\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 134\u001b[0m     fig, ax \u001b[38;5;241m=\u001b[39m \u001b[43mControlSystemVisualizer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    135\u001b[0m     fig\u001b[38;5;241m.\u001b[39mshow()\n",
-      "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\visualization.py:204\u001b[0m, in \u001b[0;36mControlSystemVisualizer.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    186\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    187\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    188\u001b[0m \u001b[38;5;124;03m    View the visualization.\u001b[39;00m\n\u001b[0;32m    189\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    202\u001b[0m \u001b[38;5;124;03m    inline.\u001b[39;00m\n\u001b[0;32m    203\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 204\u001b[0m     nx\u001b[38;5;241m.\u001b[39mdraw(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mctrl\u001b[49m\u001b[38;5;241m.\u001b[39mgraph, ax\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max)\n\u001b[0;32m    205\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfig, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max\n",
-      "\u001b[1;31mAttributeError\u001b[0m: 'ControlSystemVisualizer' object has no attribute 'ctrl'"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "d:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\controlsystem.py:135: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "  fig.show()\n"
      ]
     },
     {
      "data": {
-      "image/png": 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AWne4VFdXp379+qUuXbqkIUOGpCVLlux23dmzZ6fhw4enQw89tJxGjBixx/UBAPZZuMydOzdNmDAhTZs2LS1btiz1798/VVVVpXXr1jW4/qJFi9KFF16YXnzxxbR48eLUt2/fdM4556QPPvig0qcGANq4dkVRFJVskM+wnH766enee+8t53fs2FHGyNVXX50mTZr0ldtv3769PPOStx8zZkyD62zdurWcam3atKl8jo0bN6auXbtWsrsAQAvJr9/dunXbp6/fFZ1x2bZtW1q6dGl5uafuAdq3L+fz2ZS98cknn6TPP/88HXbYYbtdZ8aMGeU3WjvlaAEAqChcNmzYUJ4x6dmzZ73leX7t2rV79RgTJ05MvXv3rhc/u5o8eXJZZ7XTmjVrKtlNAKCV6ticT3b77benOXPmlPe95Bt7d6dz587lBADQ6HDp3r176tChQ6qpqam3PM/36tVrj9veddddZbi88MIL6ZRTTqnkaQEAKr9U1KlTpzRw4MC0cOHCumX55tw8P3To0N1ud8cdd6Sbb745LViwIA0aNKiSpwQAaPylojwUeuzYsWWADB48OM2cOTNt2bIljRs3rvx6HinUp0+f8gbb7De/+U2aOnVqeuyxx8r3fqm9F+ZrX/taOQEANFm4jBo1Kq1fv76MkRwhAwYMKM+k1N6wu3r16nKkUa3777+/HI30ox/9qN7j5PeBufHGGyt9egCgDav4fVxayzhwAKCVv48LAEBLEi4AQBjCBQAIQ7gAAGEIFwAgDOECAIQhXACAMIQLABCGcAEAwhAuAEAYwgUACEO4AABhCBcAIAzhAgCEIVwAgDCECwAQhnABAMIQLgBAGMIFAAhDuAAAYQgXACAM4QIAhCFcAIAwhAsAEIZwAQDCEC4AQBjCBQAIQ7gAAGEIFwAgDOECAIQhXACAMIQLABCGcAEAwhAuAEAYwgUACEO4AABhCBcAIAzhAgCEIVwAgDCECwAQhnABAMIQLgBAGMIFAAhDuAAAYQgXACAM4QIAhCFcAIAwhAsAEIZwAQDCEC4AQBjCBQAIQ7gAAGEIFwAgDOECAIQhXACAMIQLABCGcAEAwhAuAEAYwgUACEO4AABhCBcAIAzhAgCEIVwAgNYdLtXV1alfv36pS5cuaciQIWnJkiV7XP9Pf/pTOv7448v1Tz755DR//vzG7i8A0IZVHC5z585NEyZMSNOmTUvLli1L/fv3T1VVVWndunUNrv/KK6+kCy+8MF1yySXptddeSxdccEE5vfHGG/ti/wGANqRdURRFJRvkMyynn356uvfee8v5HTt2pL59+6arr746TZo06Uvrjxo1Km3ZsiU9++yzdcu++93vpgEDBqRZs2Y1+Bxbt24tp1obN25MRxxxRFqzZk3q2rVrJbsLALSQTZs2lY3w8ccfp27duu2Tx+xYycrbtm1LS5cuTZMnT65b1r59+zRixIi0ePHiBrfJy/MZmp3lMzRPP/30bp9nxowZafr06V9anr95ACCWf/3rXy0TLhs2bEjbt29PPXv2rLc8z69YsaLBbdauXdvg+nn57uQw2jl2cqkdeeSRafXq1fvsG+d/q2dnv1qeY7H/cCz2L47H/qP2islhhx22zx6zonBpLp07dy6nXeVo8R/h/iEfB8di/+BY7D8ci/2L47H/yFdn9tljVbJy9+7dU4cOHVJNTU295Xm+V69eDW6Tl1eyPgDAPgmXTp06pYEDB6aFCxfWLcs35+b5oUOHNrhNXr7z+tnzzz+/2/UBAPbZpaJ878nYsWPToEGD0uDBg9PMmTPLUUPjxo0rvz5mzJjUp0+f8gbb7JprrklnnXVWuvvuu9N5552X5syZk1599dX0wAMP7PVz5stGefh1Q5ePaF6Oxf7Dsdh/OBb7F8ejdR+LiodDZ3ko9J133lneYJuHNf/2t78th0ln3/ve98o3p3vkkUfqvQHd9ddfn95777307W9/O91xxx3p3HPP3WffBADQNjQqXAAAWoLPKgIAwhAuAEAYwgUACEO4AABh7DfhUl1dXY5G6tKlSzlCacmSJXtcP49UOv7448v1Tz755DR//vxm29fWrpJjMXv27DR8+PB06KGHllP+3KqvOnY03c9Frfy2A+3atSs/iZ2WORb5o0quuuqqdPjhh5dDQY899li/p1roWOS37TjuuOPSgQceWH4UwPjx49Nnn33WbPvbWr300ktp5MiRqXfv3uXvmz19BmGtRYsWpdNOO638mTjmmGPqjUDea8V+YM6cOUWnTp2Khx9+uPj73/9eXHbZZcUhhxxS1NTUNLj+X//616JDhw7FHXfcUfzjH/8orr/++uKAAw4oXn/99Wbf99am0mNx0UUXFdXV1cVrr71WvPnmm8VPf/rTolu3bsU///nPZt/3tn4sar377rtFnz59iuHDhxc//OEPm21/W7NKj8XWrVuLQYMGFeeee27x8ssvl8dk0aJFxfLly5t939v6sfjDH/5QdO7cufwzH4fnnnuuOPzww4vx48c3+763NvPnzy+mTJlSPPnkk3l0cvHUU0/tcf1Vq1YVBx10UDFhwoTytft3v/td+Vq+YMGCip53vwiXwYMHF1dddVXd/Pbt24vevXsXM2bMaHD9H//4x8V5551Xb9mQIUOKn/3sZ02+r61dpcdiV1988UVx8MEHF48++mgT7mXb0Jhjkf/9n3HGGcWDDz5YjB07Vri00LG4//77i6OOOqrYtm1bM+5l21Dpscjrfv/736+3LL9wDhs2rMn3tS1JexEu1157bfGd73yn3rJRo0YVVVVVFT1Xi18q2rZtW1q6dGl5iWHnD2PK84sXL25wm7x85/Wzqqqq3a5P0x2LXX3yySfp888/36efBNoWNfZY3HTTTalHjx7pkksuaaY9bf0acyyeeeaZ8mNN8qWinj17ppNOOinddtttafv27c24561PY47FGWecUW5Tezlp1apV5SU7b4La/PbVa3eLfzr0hg0byh/m/MO9szy/YsWKBrfJ79jb0Pp5Oc17LHY1ceLE8nrnrv9x0vTH4uWXX04PPfRQWr58eTPtZdvQmGORXxz/8pe/pIsvvrh8kXz77bfTlVdeWUZ9fvtzmu9YXHTRReV2Z555Zr7CkL744ot0xRVXpOuuu66Z9pqveu3etGlT+vTTT8t7kPZGi59xofW4/fbby5tCn3rqqfKmOZrP5s2b0+jRo8ubpfOnuNOy8ofP5jNf+TPZ8gfTjho1Kk2ZMiXNmjWrpXetzck3g+azXffdd19atmxZevLJJ9O8efPSzTff3NK7RiO1+BmX/Eu2Q4cOqaampt7yPN+rV68Gt8nLK1mfpjsWte66664yXF544YV0yimnNPGetn6VHot33nmn/CywfIf/zi+eWceOHdPKlSvT0Ucf3Qx73vo05ucijyQ64IADyu1qnXDCCeX/cebLHZ06dWry/W6NGnMsbrjhhjLqL7300nI+j0LNHwx8+eWXlzGZLzXRPHb32t21a9e9PtuStfgRyz/A+f9IFi5cWO8Xbp7P14gbkpfvvH72/PPP73Z9mu5YZPlDM/P/vSxYsKD81HCa/1jktwZ4/fXXy8tEtdP555+fzj777PLveQgozfdzMWzYsPLyUG08Zm+99VYZNKKleY9Fvu9u1zipDUof1de89tlrd7GfDG/Lw9UeeeSRcojU5ZdfXg5vW7t2bfn10aNHF5MmTao3HLpjx47FXXfdVQ7BnTZtmuHQLXQsbr/99nJo4hNPPFF8+OGHddPmzZtb8Ltom8diV0YVtdyxWL16dTm67he/+EWxcuXK4tlnny169OhR3HLLLS34XbTNY5FfH/Kx+OMf/1gOx/3zn/9cHH300eXoVP43+fd8fiuMPOWcuOeee8q/v//+++XX83HIx2PX4dC//vWvy9fu/FYaYYdDZ3k89xFHHFG+CObhbn/729/qvnbWWWeVv4R39vjjjxfHHntsuX4eXjVv3rwW2OvWqZJjceSRR5b/we465V8WNP/Pxc6ES8sei1deeaV8m4b8IpuHRt96663lcHWa91h8/vnnxY033ljGSpcuXYq+ffsWV155ZfHvf/+7hfa+9XjxxRcb/P1f++8//5mPx67bDBgwoDx2+efi97//fcXP2y7/Y9+eDAIAaBotfo8LAMDeEi4AQBjCBQAIQ7gAAGEIFwAgDOECAIQhXACAMIQLABCGcAEAwhAuAEAYwgUASFH8Hz2QpG+Qts9tAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -316,9 +287,10 @@
     "    rule18,\n",
     "    rule19,\n",
     "    rule20,\n",
-    "    ])\n",
+    "])\n",
     "\n",
-    "stroke = control.ControlSystemSimulation(stroke_ctrl)"
+    "stroke = control.ControlSystemSimulation(stroke_ctrl)\n",
+    "stroke_ctrl.view()"
    ]
   },
   {