diff --git a/cryptarchia/longest-chain-cryptarchia.ipynb b/cryptarchia/longest-chain-cryptarchia.ipynb
index 8965807..de0c613 100644
--- a/cryptarchia/longest-chain-cryptarchia.ipynb
+++ b/cryptarchia/longest-chain-cryptarchia.ipynb
@@ -93,7 +93,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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HR2PMmDGYNGkS4uPj0adPHyxevLhSf4cVK1bAyMgInTp1wpIlS+SmnKKiotCuXTs0b95c3Obm5oa8vDzExsZWus8XLlyArq6uwmXp0qWVyrey4uLicPnyZfTq1QsAUFhYCA8PD/Tq1Qs3btxAVFQUxo8fD4lEUqPnrUucliIiqkO6uhvq9HyCMKPKx3To0AELFiwAALRp0wabNm3CqVOn4OLigl9//RU3btxAcnIyTE1NAQB79uyBnZ0drl27hm7dupXbbkFBATZt2oQePXoAeFlE2djY4OrVq+jevXup+K+//hpr1qwRRyksLS1x69YtbN26FaNGjRLjZsyYgQEDBgAAFi5cCDs7O9y9exfW1tZYv3493NzcxPtl2rZti8uXL+PEiRMK/wZTp05F586d0aRJE1y9ehUBAQFITk7Gjh07AADp6ekwNjaWO6ZJkyZo1KgR0tPTK93nrl27Ij4+XmEuhoaGCvdXVosWLfDPP/+gsLAQQUFBGDt2LAAgKysLmZmZGDhwIFq1agUAsLGxqZFz1hcWN0REJKdDhw5y61KpFBkZGQCAhIQEmJqaioUNANja2sLAwAAJCQno1q0b7OzsxCmNDz/8EMePHwcAqKmpoWvXruJx1tbW4nGvFzf//PMPUlNT4ePjI3ffS2FhIfT19cvNVyqVAgAyMjJgbW2NhIQEDB06VC5eJpNVWNxMnz5drv0mTZrgX//6lziaA6DMkQ1BEOS2V9RnLS0ttG7dWmEuNeXChQvIzs7GlStXMGfOHLRu3RrDhw+HoaEhRo8eDTc3N7i4uMDZ2Rmenp7i3/JtxOKGiKgOZWf71XcKFVJXV5dbl0gkKC4uBlD6y7vEq9sjIiJQUFAAANDS0irV1uvK2lZyvu3bt4ujHiVUVVXLzbekrVfzrQkODg4AgLt378LIyAgmJiaIjo6Wi3ny5AkKCgpKjego6vOFCxfg7u6u8Nxz587F3Llz3yR9AC9HvgCgffv2ePDgAYKCgjB8+HAAL+9t8vPzw4kTJ7B//37MmzcPkZGRYr/fNixuiIjqkI5Oo/pO4Y3Y2toiJSUFqamp4ujNrVu3kJmZKU5lmJubl3lsYWEhYmJixFGaxMREPH36FNbW1qVijY2N8f777+PPP//EiBEj3ijfK1euyG17fb0y4uLiAPxvZEgmk2HJkiVIS0sTt508eRIaGhro0qWLeFxFfa7LaalXCYKAvLw8uW329vawt7dHQEAAZDIZvv/+exY3RESk/JydndGhQweMGDECwcHBKCwsxKRJk9CrVy+56ZeyqKurY8qUKdiwYQPU1dXh6+sLBweHMu+3AV4+1M/Pzw96enpwd3dHXl4eYmJi8OTJE/j7+1cqXz8/Pzg6OmLlypXw8PDAyZMnK5ySioqKwpUrV9CnTx/o6+vj2rVrmD59OgYPHgwzMzMAgKurK2xtbeHt7Y1Vq1bh8ePHmDFjBsaNGwc9Pb1K97mq01LZ2dm4e/euuJ6cnIz4+HgYGhqKuQUEBOD+/fvYvXs3AGDz5s0wMzMTC6qLFy9i9erVmDJlitjGtm3bMHjwYDRv3hyJiYm4ffs2Ro4cWem8Ghr+WoqIiCqt5MFxTZo0gZOTE5ydndGyZUvs37+/wmO1tbUxe/ZsfPbZZ5DJZNDS0sK+ffvKjR87dix27NiB0NBQtG/fHr169UJoaKg4vVIZDg4O2LFjBzZu3IhOnTrh5MmTmDdvnsJjNDQ0sH//fvTu3Ru2trb46quvMG7cOOzdu1eMUVVVxbFjx6CpqYmePXvC09MTHh4eWL169Rv1uSIxMTHiCAsA+Pv7w97eHl999ZUYk5aWhpSUFHG9uLgYAQEB6NSpE7p27YqNGzdi+fLlWLRokZjjH3/8gU8++QRt27bF+PHj4evriwkTJlQ7z/omEWpqQrKeZWVlQV9fH5mZmXJVc02wmHMMAHBv+YAabZeIlFNubi6Sk5NhaWkJTU3N+k6H6kloaCimTZuGp0+f1ncq9U7RZ6I2vr85ckNERERKhcUNERERKRUWN1VgMeeYOEVFRESkyOjRozklVU9Y3BAREZFSYXFDRERESoXFDRERESkVFjdERESkVFjcEBERkVJhcUNERERKhcUNERHVutDQUBgYGCiMCQoKQqdOnRpELvR2Y3FDRET0muvXr8PFxQUGBgYwMjLC+PHjkZ2dLRdz6tQpODo6onHjxpBKpZg9ezYKCwtrNa9vvvkGHTp0gJ6eHvT09CCTyXD8+HGFx1y8eBE9e/aEkZERtLS0YG1tjXXr1tVqnvWNxQ0REdEr/v77bzg7O6N169aIjo7GiRMn8Pvvv2P06NFizI0bN9C/f3/069cPcXFx2LdvH44ePYo5c+bUam4tWrTA8uXLERMTg5iYGHz00UcYMmQIfv/993KP0dHRga+vL86fP4+EhATMmzcP8+bNw7Zt22o11/rE4oaIiES9e/eGn58fZs2aBUNDQ5iYmCAoKEguJiUlBUOGDIGuri709PTg6emJBw8eVKr98PBwtG3bFpqamnBxcUFqaqrC+JCQENjY2EBTUxPW1tbYsmWLuO/evXuQSCQ4dOgQ+vTpA21tbXTs2BFRUVFybYSGhsLMzAza2toYOnQoHj16pPCcP//8M9TV1bF582ZYWVmhW7du2Lx5Mw4ePIi7d+8CAPbt24cOHTrgq6++QuvWrdGrVy8sW7YMmzdvxrNnz8TzGhgYVLnPigwaNAj9+/dH27Zt0bZtWyxZsgS6urq4cuVKucfY29tj+PDhsLOzg4WFBf7v//4Pbm5uuHDhghhz9uxZdO/eHTo6OjAwMEDPnj3x119/VTvP+sbihoioDuXk5NfpUh1hYWHQ0dFBdHQ0Vq5ciUWLFiEyMhIAIAgCPDw88PjxY5w7dw6RkZFISkqCl5dXhe0+f/4cS5YsQVhYGC5duoSsrCwMGzas3Pjt27cjMDAQS5YsQUJCApYuXYr58+cjLCxMLi4wMBAzZsxAfHw82rZti+HDh4vTQ9HR0RgzZgwmTZqE+Ph49OnTB4sXL1aYZ15eHho1agQVlf99RWppaQF4OcVTEvP62621tLSQm5uL2NjYSvf5woUL0NXVVbgsXbq0zDyLioqwb98+5OTkQCaTKezTq+Li4nD58mX06tULAFBYWAgPDw/06tULN27cQFRUFMaPHw+JRFLpNhscoYrOnTsnDBw4UJBKpQIA4fDhwwrjz5w5IwAotSQkJMjFHThwQLCxsREaNWok2NjYCIcOHapSXpmZmQIAITMzs6pdqpD57J/lFiIiRV68eCHcunVLePHiRal9wKo6XaqqV69ewgcffCC3rVu3bsLs2bMFQRCEkydPCqqqqkJKSoq4//fffxcACFevXi233ZCQEAGAcOXKFXFbQkKCAECIjo4WBEEQFixYIHTs2FHcb2pqKnz//fdy7Xz99deCTCYTBEEQkpOTBQDCjh07SuVS8h0zfPhwoV+/fnJteHl5Cfr6+uXm+p///EdQU1MTVq5cKeTl5QmPHz8WPv74YwGAsHTpUkEQBOGXX34RVFRUhO+//14oLCwU/vvf/woffPCBAEDMuTJ9fv78uXDnzh2Fy6NHj+Tyu3HjhqCjoyOoqqoK+vr6wrFjx8rty6vef/99oVGjRoKKioqwaNEicfujR48EAMLZs2cr1U51KPpM1Mb3d5VHbnJyctCxY0ds2rSpSsclJiYiLS1NXNq0aSPui4qKgpeXF7y9vfHbb7/B29sbnp6eiI6Ormp6RET0hjp06CC3LpVKkZGRAQBISEiAqakpTE1Nxf22trYwMDBAQkICAMDOzk4cdXB3dxfj1NTU0LVrV3Hd2tpa7rhX/fPPP0hNTYWPj4/cKMbixYuRlJRUbr5SqRQA5PJ9fVSjolEOOzs7hIWFYc2aNdDW1oaJiQlatmwJY2NjqKqqAgBcXV2xatUqTJw4ERoaGmjbti0GDBgAAGJMZfqspaWF1q1bK1wMDQ3l8rOyskJ8fDyuXLmCL774AqNGjcKtW7cU9gl4OUoUExODb7/9FsHBwdi7dy8AwNDQEKNHj4abmxsGDRqE9evXIy0trcL2GjK1qh7g7u4u9y9rZTVr1qzcn94FBwfDxcUFAQEBAICAgACcO3dO7o9PRKQMsrP96juFCqmrq8utSyQSFBcXA3g5LVXWdMWr2yMiIlBQUADgf9M5r7b1urK2lZxv+/bt6NGjh9y+V4uH1/MtaevVfKvjs88+w2effYYHDx5AR0cHEokEa9euhaWlpRjj7++P6dOnIy0tDU2aNMG9e/cQEBAgF1Ne/0q2XbhwocLv1Llz52Lu3LnieqNGjdC6dWsAQNeuXXHt2jWsX78eW7duVdhOSV7t27fHgwcPEBQUhOHDhwN4eW+Tn58fTpw4gf3792PevHmIjIyEg4ODwjYbqioXN9Vlb2+P3Nxc2NraYt68eejTp4+4LyoqCtOnT5eLd3NzQ3BwcLnt5eXlIS8vT1zPysqq8ZyJiGqajk6j+k7hjdja2iIlJQWpqani6M2tW7eQmZkJGxsbAIC5uXmZxxYWFiImJgbdu3cH8HJE/+nTp7C2ti4Va2xsjPfffx9//vknRowY8Ub5vn6zraKbb8vKAwB27dol3hD8KolEgubNmwMA9u7dC1NTU3Tu3FncX1Gfu3btivj4eIU5vD5y8zpBEOS+DyujrGPs7e1hb2+PgIAAyGQyfP/99yxuyiOVSrFt2zZ06dIFeXl52LNnD/r27YuzZ8/CyckJAJCeni7+C1TC2NgY6enp5ba7bNkyLFy4sFZzJyIiec7OzujQoQNGjBiB4OBgFBYWYtKkSejVq5fc9EtZ1NXVMWXKFGzYsAHq6urw9fWFg4OD+MX/uqCgIPj5+UFPTw/u7u7Iy8tDTEwMnjx5An9//0rl6+fnB0dHR6xcuRIeHh44efIkTpw4UeFxmzZtgqOjI3R1dREZGYmZM2di+fLlcjMQq1atQr9+/aCiooJDhw5h+fLl+OGHH+RGlirqc8m0VGXNnTsX7u7uMDU1xbNnz7Bv3z6cPXtWrk8BAQG4f/8+du/eDQDYvHkzzMzMxILq4sWLWL16NaZMmQIASE5OxrZt2zB48GA0b94ciYmJuH37NkaOHFnpvBqaWi9urKysYGVlJa7LZDKkpqZi9erVYnEDlB62K2/os0RAQIDcv9xZWVlyc8BERFTzJBIJwsPDMWXKFDg5OUFFRQX9+vXDxo0bKzxWW1sbs2fPxmeffYb//ve/+OCDD7Br165y48eOHQttbW2sWrUKs2bNgo6ODtq3b49p06ZVOl8HBwfs2LEDCxYsQFBQEJydnTFv3jx8/fXXCo+7evUqFixYgOzsbFhbW2Pr1q3w9vaWizl+/DiWLFmCvLw8dOzYEUeOHCk1xVTVPlfkwYMH8Pb2RlpaGvT19dGhQwecOHFCbkQpLS0NKSkp4npxcTECAgKQnJwMNTU1tGrVCsuXL8eECRPEHP/44w+EhYXh0aNHkEql8PX1Ffe/jSRCdSck8fJf8sOHD8PDw6NKxy1ZsgTfffedeEOVmZkZpk+fLjc1tW7dOgQHB1f6d/ZZWVnQ19dHZmYm9PT0qpRPRSzmHJNbv7d8QI22T0TKJTc3F8nJybC0tCz1c2F6d4SGhmLatGl4+vRpfadS7xR9Jmrj+7tennMTFxcn3tEOvBzNKXmGQomTJ0/C0dGxrlMjIiKit1yVp6Wys7PFJzQCL+fq4uPjYWhoCDMzs1JzfcHBwbCwsICdnR3y8/Px3Xff4eDBgzh48KDYxtSpU+Hk5IQVK1ZgyJAhOHLkCH799VfxYUlERERElVXlkZuYmBjxjmrg5U/h7O3t8dVXXwEoPdeXn5+PGTNmoEOHDvjwww9x8eJFHDt2DB9//LEY4+joiH379iEkJAQdOnRAaGgo9u/fX+rnf0RERG+L0aNHc0qqnrzRPTcNCe+5IaKGgvfcEMl7J+65ISIiIqotLG6IiIhIqbC4ISIiIqXC4oaIiIiUCosbIiIiUiosboiIqNaFhobKvZepLEFBQejUqVODyIXebixuiIiIXnP9+nW4uLjAwMAARkZGGD9+PLKzs+ViTp06BUdHRzRu3BhSqRSzZ89GYWGhwnaTkpIwdOhQNG3aFHp6evD09MSDBw9qsytyLl26BDU1tUoVkRKJpNTy7bff1n6SNYDFDRER0Sv+/vtvODs7o3Xr1oiOjsaJEyfw+++/Y/To0WLMjRs30L9/f/Tr1w9xcXHYt28fjh49ijlz5pTbbk5ODlxdXSGRSHD69GlcunQJ+fn5GDRoEIqLi2u9X5mZmRg5ciT69u1b6WNCQkKQlpYmLqNGjarFDGsOixsiIhL17t0bfn5+mDVrFgwNDWFiYoKgoCC5mJSUFAwZMgS6urpVHn0IDw9H27ZtoampCRcXF6SmpiqMDwkJgY2NDTQ1NWFtbY0tW7aI++7duweJRIJDhw6hT58+0NbWRseOHREVFSXXRmhoKMzMzKCtrY2hQ4fi0aNHCs/5888/Q11dHZs3b4aVlRW6deuGzZs34+DBg+Lrh/bt24cOHTrgq6++QuvWrdGrVy8sW7YMmzdvxrNnz8ps99KlS7h37x5CQ0PRvn17tG/fHiEhIbh27RpOnz4t16d9+/bB0dERmpqasLOzw9mzZyv601ZowoQJ+OyzzyCTySp9jIGBAUxMTMRFS0tL3PfXX39h0KBBaNKkCXR0dGBnZ4eIiIg3zrMmsLghIqpDOTn5dbpUR1hYGHR0dBAdHY2VK1di0aJF4suNBUGAh4cHHj9+jHPnziEyMhJJSUnw8vKqsN3nz59jyZIlCAsLw6VLl5CVlYVhw4aVG799+3YEBgZiyZIlSEhIwNKlSzF//nyEhYXJxQUGBmLGjBmIj49H27ZtMXz4cHF6KDo6GmPGjMGkSZMQHx+PPn36YPHixQrzzMvLQ6NGjaCi8r+vyJIv9ZJ3Hubl5ZV60q6WlhZyc3MRGxtbbrsSiQQaGhriNk1NTaioqJR6l+LMmTPx5ZdfIi4uDo6Ojhg8eLBcUaarq6twcXd3l2svJCQESUlJWLBggcK+v87X1xfvvfceunXrhm+//VZuhGny5MnIy8vD+fPncfPmTaxYsQK6urpVar+2VPnFmUREVH26uhvq9HyCMKPKx3To0EH8EmzTpg02bdqEU6dOwcXFBb/++itu3LiB5ORkmJqaAgD27NkDOzs7XLt2Dd26dSu33YKCAmzatEl8b2BYWBhsbGxw9epVdO/evVT8119/jTVr1ojvIrS0tMStW7ewdetWuemRGTNmYMCAl6/FWbhwIezs7HD37l1YW1tj/fr1cHNzE6eL2rZti8uXL+PEiRPl5vnRRx/B398fq1atwtSpU5GTk4O5c+cCePn+RABwc3NDcHAw9u7dC09PT6Snp4tFU0nM6xwcHKCjo4PZs2dj6dKlEAQBs2fPRnFxcaljfH198cknnwAAvvnmG5w4cQI7d+7ErFmzAADx8fHl5g9AboTlzp07mDNnDi5cuAA1tcp/7X/99dfo27cvtLS0cOrUKXz55Zd4+PAh5s2bB+DlCN4nn3yC9u3bAwBatmxZ6bZrG0duiIhITocOHeTWpVIpMjIyAAAJCQkwNTUVCxsAsLW1hYGBARISEgAAdnZ2ZY4gqKmpoWvXruK6tbW13HGv+ueff5CamgofHx+5EYnFixcjKSmp3HylUikAyOX7+jRMRdMydnZ2CAsLw5o1a6CtrQ0TExO0bNkSxsbGUFVVBQC4urpi1apVmDhxIjQ0NNC2bVuxwCqJeV3Tpk3x448/4qeffoKurq74PqXOnTuXOubVHEv+bq/+nVq3bq1wef/99wEARUVF+Oyzz7Bw4UK0bdtWYb9fN2/ePMhkMnTq1AlffvklFi1ahFWrVon7/fz8sHjxYvTs2RMLFizAjRs3qtR+beLIDRFRHcrO9qvvFCqkrq4uty6RSMTpCEEQIJFISh3z6vaIiAgUFBQAkB9BKGnrdWVtKznf9u3bxZGeEq8XAq/mW9LWq/lWx2effYbPPvsMDx48gI6ODiQSCdauXQtLS0sxxt/fH9OnT0daWhqaNGmCe/fuISAgQC7mda6urkhKSsLDhw+hpqYm3tOi6JjX+wagwumfDz/8EMePH8ezZ88QExODuLg4+Pr6Anj5txEEAWpqajh58iQ++uijCs8NvBx5ysrKwoMHD2BsbIyxY8fCzc0Nx44dw8mTJ7Fs2TKsWbMGU6ZMqVR7tYnFDRFRHdLRaVTfKbwRW1tbpKSkIDU1VRy9uXXrFjIzM2FjYwMAMDc3L/PYwsJCxMTEiFNQiYmJePr0KaytrUvFGhsb4/3338eff/6JESNGvFG+V65ckdv2+roixsbGAIBdu3aJN0G/SiKRoHnz5gCAvXv3wtTUFJ07d66w3ffeew8AcPr0aWRkZGDw4MGlcnRycgLw8u8WGxsrFidA5ael9PT0cPPmTbl9W7ZswenTp3HgwIFKFVUl4uLioKmpKfeMIFNTU0ycOBETJ05EQEAAtm/fzuKGiIjeLs7OzujQoQNGjBiB4OBgFBYWYtKkSejVq5fclFNZ1NXVMWXKFGzYsAHq6urw9fWFg4NDmffbAC8f6ufn5wc9PT24u7sjLy8PMTExePLkCfz9/SuVr5+fHxwdHbFy5Up4eHjg5MmTCu+3KbFp0yY4OjpCV1cXkZGRmDlzJpYvXy73xb5q1Sr069cPKioqOHToEJYvX44ffvhBHFm6f/8++vbti927d4t9LPn1V9OmTREVFYWpU6di+vTpsLKykjv/5s2b0aZNG9jY2GDdunV48uQJxowZI+5v3bp1pfqvoqKCdu3ayW1r1qwZNDU15bYfPnwYAQEB+OOPPwAAP/30E9LT0yGTyaClpYUzZ84gMDAQ48ePF2+InjZtGtzd3dG2bVs8efIEp0+fFgvc+sZ7boiIqNIkEgnCw8PRpEkTODk5wdnZGS1btsT+/fsrPFZbWxuzZ88Wf46spaWFffv2lRs/duxY7NixQ/zpdK9evRAaGlql0QYHBwfs2LEDGzduRKdOnXDy5EnxhlhFrl69ChcXF7Rv3x7btm3D1q1b4ecnP6V4/PhxfPjhh+jatSuOHTuGI0eOwMPDQ9xfUFCAxMREPH/+XNyWmJgIDw8P2NjYYNGiRQgMDMTq1atLnX/58uVYsWIFOnbsiAsXLuDIkSPiaE9tyMzMRGJioriurq6OLVu2QCaToUOHDli/fj0WLVqENWvWiDFFRUWYPHkybGxs0K9fP1hZWcn9VL8+SYTqTkg2MFlZWeLNWXp6ejXatsWcY3Lr95YPqNH2iUi55ObmIjk5GZaWlqV+LkykyL1792BpaYm4uLg6eRVFXVH0maiN72+O3BAREZFSYXFDRERESoU3FBMRETUQFhYW1f75Ov0PR26IiIhIqbC4qQaLOcdK3WRMREREDQOLGyIiIlIqLG6IiIhIqbC4ISIiIqXC4oaIiIiUCosbIiIS9e7dG9OmTVMYY2FhgeDg4AaRC1FZWNwQEdFb6ezZs5BIJKWWkpc/ljh48CBsbW2hoaEBW1tbHD58uF7ykkgkuHbtWqXamDBhAiQSSZ0UkcqIxQ0REb3VEhMTkZaWJi5t2rQR90VFRcHLywve3t747bff4O3tDU9PT0RHR9daPo6OjnL5pKWlYezYsbCwsKjwzekAEB4ejujoaDRv3rzWclR2LG6IiOpQ4fPndbpUK8fCQvj6+sLAwABGRkaYN2+ewqfmZmZmYvz48WjWrBn09PTw0Ucf4bfffhP3BwUFoVOnTtizZw8sLCygr6+PYcOG4dmzZ2JMTk4ORo4cCV1dXUilUrm3T1ekWbNmMDExERdVVVVxX3BwMFxcXBAQEABra2sEBASgb9++ciMivXv3hq+vb5X6rEijRo3k8jEyMsLRo0cxZswYSCQShcfev38fvr6++Pe//w11dfVS+4OCgmBmZgYNDQ00b9681JvK6SW+foGIqA790K1bnZ7vs99/r/IxYWFh8PHxQXR0NGJiYjB+/HiYm5tj3LhxpWIFQcCAAQNgaGiIiIgI6OvrY+vWrejbty9u374NQ0NDAEBSUhLCw8Px888/48mTJ/D09MTy5cuxZMkSAMDMmTNx5swZHD58GCYmJpg7dy5iY2Mr9WZse3t75ObmwtbWFvPmzUOfPn3EfVFRUZg+fbpcvJubW6npnor6PHHiRHz33XcK87h16xbMzMxKbT969CgePnyI0aNHKzy+uLgY3t7emDlzJuzs7ErtP3DgANatW4d9+/bBzs4O6enpckUk/Q+LGyIikmNqaop169ZBIpHAysoKN2/exLp168osbs6cOYObN28iIyMDGhoaAIDVq1cjPDwcBw4cwPjx4wG8/OIODQ1F48aNAQDe3t44deoUlixZguzsbOzcuRO7d++Gi4sLgJfFRosWLRTmKZVKsW3bNnTp0gV5eXnYs2cP+vbti7Nnz8LJyQkAkJ6eDmNjY7njjI2NkZ6eXqU+L1q0CDNmzFCYT3nTSDt37oSbmxtMTU0VHr9ixQqoqamVOxqTkpICExMTODs7Q11dHWZmZujevbvCNt9VLG6IiOqQZyVvKK1PDg4OctMnMpkMa9asQVFRkdyUDwDExsYiOzsbRkZGcttfvHiBpKQkcd3CwkIsbICXhUlGRgaAl6M6+fn5kMlk4n5DQ0NYWVkpzNPKykouRiaTITU1FatXrxaLGwClpoIEQSi1raI+N2vWDM2aNVOYT1n++9//4pdffsEPP/ygMC42Nhbr16/H9evXy526+vTTTxEcHIyWLVuiX79+6N+/PwYNGgQ1NX6Vv45/ESKiOqSmrV3fKdSo4uJiSKVSnD17ttQ+AwMD8Z9fv39EIpGguLgYAGr0LdgODg5y00cmJialRmkyMjJKjeZUpLrTUiEhITAyMsLgwYMVHnvhwgVkZGTIHV9UVIQvv/wSwcHBuHfvHkxNTZGYmIjIyEj8+uuvmDRpElatWoVz586VeX/Ou4zFDRERybly5Uqp9TZt2pQatQGAzp07Iz09HWpqarCwsKjW+Vq3bg11dXVcuXJF/HJ/8uQJbt++jV69elWprbi4OEilUnFdJpMhMjJS7r6bkydPwtHRUe64ivpcnWkpQRAQEhKCkSNHVlh8eHt7w9nZWW6bm5sbvL298fnnn4vbtLS0MHjwYAwePBiTJ0+GtbU1bt68ic6dOyts/13D4oaIiOSkpqbC398fEyZMwPXr17Fx48Zyf73k7OwMmUwGDw8PrFixAlZWVvj7778REREBDw+PSv30WVdXFz4+Ppg5cyaMjIxgbGyMwMBAqKgo/kFvcHAwLCwsYGdnh/z8fHz33Xc4ePAgDh48KMZMnToVTk5OWLFiBYYMGYIjR47g119/xcWLF6vU5+pMS50+fRrJycnw8fEpc7+1tTWWLVuGoUOHwsjIqNTUnrq6OkxMTMSpt9DQUBQVFaFHjx7Q1tbGnj17oKWlBXNz8yrl9S5gcUNERHJGjhyJFy9eoHv37lBVVcWUKVPEG4NfJ5FIEBERgcDAQIwZMwb//PMPTExM4OTkVKWpn1WrViE7OxuDBw9G48aN8eWXXyIzM1PhMfn5+ZgxYwbu378PLS0t2NnZ4dixY+jfv78Y4+joiH379mHevHmYP38+WrVqhf3796NHjx7V7nNl7dy5E46OjrCxsSlzf2JiYoV9fJWBgQGWL18Of39/FBUVoX379vjpp59KFUUESIQqTnaeP38eq1atQmxsLNLS0nD48GF4eHiUG3/o0CF88803iI+PR15eHuzs7BAUFAQ3NzcxJjQ0VG7YrcSLFy+gqalZqbyysrKgr6+PzMxM6OnpVaVLFbKYc6zM7feWD6jR8xCRcsjNzUVycjIsLS0r/d8wqj+9e/dGp06d+DTgWqToM1Eb399VfohfTk4OOnbsiE2bNlUq/vz583BxcUFERARiY2PRp08fDBo0CHFxcXJxenp6pZ7oyP8oEBERUVVVeVrK3d0d7u7ulY5/vRJeunQpjhw5gp9++gn29vbidolEAhMTk0q3m5eXh7y8PHE9Kyur0scSERGR8qrz1y8UFxfj2bNn4lMrS2RnZ8Pc3BwtWrTAwIEDS43svG7ZsmXQ19cXl4oejkRERFSWs2fPckpKydR5cbNmzRrk5OTA09NT3GZtbY3Q0FAcPXoUe/fuhaamJnr27Ik7d+6U205AQAAyMzPFJTU1tS7SJyIiogauTn8ttXfvXgQFBeHIkSNyP6lzcHCAg4ODuN6zZ0907twZGzduxIYNG8psS0NDQ3zUNxEREVGJOitu9u/fDx8fH/z444+lHlT0OhUVFXTr1k3hyA0RERFRWepkWmrv3r0YPXo0vv/+ewwYUPHPpwVBQHx8vNxTJomIiIgqo8ojN9nZ2bh79664npycjPj4eBgaGsLMzAwBAQG4f/8+du/eDeBlYTNy5EisX78eDg4O4js+tLS0oK+vDwBYuHAhHBwc0KZNG2RlZWHDhg2Ij4/H5s2ba6KPRERE9A6p8shNTEwM7O3txZ9x+/v7w97eHl999RUAIC0tDSkpKWL81q1bUVhYiMmTJ0MqlYrL1KlTxZinT59i/PjxsLGxgaurK+7fv4/z58/zVe5ERERUZVV+QnFDxScUE1FD8TY/obgyT+u1sLDAtGnTMG3atHrPhd4ODf4JxURERA3F5s2bYWNjAy0tLVhZWYm3RJQoKCjAokWL0KpVK2hqaqJjx444ceJEree1ZMkSODo6QltbGwYGBmXGTJ06FV26dIGGhgY6depUqXaTkpIwdOhQNG3aFHp6evD09MSDBw9qLnElweKGiIjeSt988w0CAgIQFBSE33//HQsXLsTkyZPx008/iTHz5s3D1q1bsXHjRty6dQsTJ07E0KFDK3xQ7JvKz8/Hp59+ii+++KLcGEEQMGbMGHh5eVWqzZycHLi6ukIikeD06dO4dOkS8vPzMWjQIBQXF9dU6kqBxQ0RUR0qfP68Tpdq5VhYCF9fXxgYGMDIyAjz5s2DojsYMjMzMX78eDRr1gx6enr46KOP8Ntvv4n7g4KC0KlTJ+zZswcWFhbQ19fHsGHD8OzZMzEmJycHI0eOhK6uLqRSKdasWVNhnnv27MGECRPg5eWFli1bYtiwYfDx8cGKFSvkYubOnYv+/fujZcuW+OKLL+Dm5ibXfu/eveHr61ulPldk4cKFmD59Otq3b19uzIYNGzB58mS0bNmyUm1eunQJ9+7dQ2hoKNq3b4/27dsjJCQE165dw+nTpwG8LKp8fX0hlUqhqakJCwsLLFu2rNr9eFvV6UP8iIjedT9061an5/vs99+rfExYWBh8fHwQHR2NmJgYjB8/Hubm5hg3blypWEEQMGDAABgaGiIiIgL6+vrYunUr+vbti9u3b4uv2klKSkJ4eDh+/vlnPHnyBJ6enli+fDmWLFkCAJg5cybOnDmDw4cPw8TEBHPnzkVsbKzC6Zq8vLxS929oaWnh6tWrKCgogLq6erkxFy9erFKfJ06ciO+++07h3+3WrVswMzNTGPMm8vLyIJFI5B5gq6mpCRUVFVy8eBHOzs7YsGEDjh49ih9++AFmZmZITU19J5/gz+KGiIjkmJqaYt26dZBIJLCyssLNmzexbt26MoubM2fO4ObNm8jIyBC/dFevXo3w8HAcOHAA48ePB/DyvYKhoaFo3LgxAMDb2xunTp3CkiVLkJ2djZ07d2L37t1wcXEB8LLYaNGihcI83dzcsGPHDnh4eKBz586IjY3Frl27UFBQgIcPH0IqlcLNzQ1r166Fk5MTWrVqhVOnTuHIkSMoKiqqUp8XLVqEGTNmKMynefPmlfjrVp+DgwN0dHQwe/ZsLF26FIIgYPbs2SguLkZaWhoAICUlBW3atMEHH3wAiUQCc3PzWs2poWJxQ0RUhzyvXavvFCrk4OAAiUQirstkMqxZswZFRUVQVVWVi42NjUV2djaMjIzktr948QJJSUniuoWFhVjYAIBUKkVGRgaAl6M6+fn5kMlk4n5DQ0NYWVkpzHP+/PlIT0+Hg4MDBEGAsbExRo8ejZUrV4p5rl+/HuPGjYO1tTUkEglatWqFzz//HCEhIVXqc7NmzeReG1QfmjZtih9//BFffPEFNmzYABUVFQwfPhydO3cW+zt69Gi4uLjAysoK/fr1w8CBA+Hq6lqvedcHFjdERHVITVu7vlOoUcXFxZBKpTh79mypfa/+SkhdXV1un0QiEW+Cre69LVpaWti1axe2bt2KBw8eQCqVYtu2bWjcuDHee+89AC8LgvDwcOTm5uLRo0do3rw55syZA0tLyyqdqyFMSwGAq6srkpKS8PDhQ6ipqcHAwAAmJiZifzp37ozk5GQcP34cv/76Kzw9PeHs7IwDBw7Ual4NDYsbIiKSc+XKlVLrbdq0KTVqA7z8Mk1PT4eamhosLCyqdb7WrVtDXV0dV65cEYuDJ0+e4Pbt2+jVq1eFx6urq4tTWPv27cPAgQOhoiL/exlNTU28//77KCgowMGDB+Hp6Vmqj6+vv9rnhjAt9aqS4u306dPIyMjA4MGDxX16enrw8vKCl5cX/vWvf6Ffv354/PixeP/Tu4DFDRERyUlNTYW/vz8mTJiA69evY+PGjeX+esnZ2RkymQweHh5YsWIFrKys8PfffyMiIgIeHh7o2rVrhefT1dWFj48PZs6cCSMjIxgbGyMwMLBUgfK627dv4+rVq+jRoweePHmCtWvX4j//+Q/CwsLEmOjoaNy/fx+dOnXC/fv3ERQUhOLiYsyaNatKfa7qtFRKSgoeP36MlJQUFBUVIT4+HsDLQk5XVxcAcPfuXWRnZyM9PR0vXrwQY2xtbdGoUSPcv38fffv2xe7du8Un9oeEhMDGxgZNmzZFVFQUpk6diunTp4tTeOvWrYNUKkWnTp2goqKCH3/8ESYmJuU+a0dZsbh5AyVPLuaTiolImYwcORIvXrxA9+7doaqqiilTpog3Br9OIpEgIiICgYGBGDNmDP755x+YmJjAyckJxsbGlT7nqlWrkJ2djcGDB6Nx48b48ssvkZmZqfCYoqIirFmzBomJiVBXV0efPn1w+fJluRGk3NxczJs3D3/++Sd0dXXRv39/7Nmzp9SXfVX6XBlfffWVXJFV8sqiM2fOoHfv3gCAsWPH4ty5c6VikpOTYWFhgYKCAiQmJuL5Kz/pT0xMREBAAB4/fgwLCwsEBgZi+vTp4n5dXV2sWLECd+7cgaqqKrp164aIiIgKC0Vlw9cvVEJ5r18oweKGiF71Nr9+4V3E1zzUPr5+gYiIiOgNsLghIiIipcJ7boiI6J1W1s/Y6e3GkRsiIiJSKixuiIiISKmwuCEiIiKlwuKGiIiIlAqLGyIiIlIqLG6IiIhIqbC4ISIiUe/evTFt2jSFMRYWFnXyNN/K5EJUFhY3RET01tq8eTNsbGygpaUFKysr7N69W25/QUEBFi1ahFatWkFTUxMdO3bEiRMnKmz3hx9+QKdOnaCtrQ1zc3OsWrWqtrogOnToENzc3PDee+9BIpGIL9J81YQJE9CqVStoaWmhadOmGDJkCP74449Kn2PZsmWQSCRKXzSyuCEiorfSN998g4CAAAQFBeH333/HwoULMXnyZPz0009izLx587B161Zs3LgRt27dwsSJEzF06FDExcWV2+7x48cxYsQITJw4Ef/5z3+wZcsWrF27Fps2barV/uTk5KBnz55Yvnx5uTFdunRBSEgIEhIS8Msvv0AQBLi6uqKoqKjC9q9du4Zt27ahQ4cONZl2g8TihoioDhU+f16nS7VyLCyEr68vDAwMYGRkhHnz5kHRO5YzMzMxfvx4NGvWDHp6evjoo4/w22+/ifuDgoLQqVMn7NmzBxYWFtDX18ewYcPw7NkzMSYnJwcjR46Erq4upFIp1qxZU2Gee/bswYQJE+Dl5YWWLVti2LBh8PHxwYoVK+Ri5s6di/79+6Nly5b44osv4ObmprD9PXv2wMPDAxMnTkTLli0xYMAAzJ49GytWrBD/DiV92rp1K0xNTaGtrY1PP/0UT58+rTDv8nh7e+Orr76Cs7NzuTHjx4+Hk5MTLCws0LlzZyxevBipqam4d++ewrazs7MxYsQIbN++HU2aNCm1f8uWLWjTpg00NTVhbGyMf/3rX9XuR0PA1y8QEdWhH7p1q9Pzffb771U+JiwsDD4+PoiOjkZMTAzGjx8Pc3NzjBs3rlSsIAgYMGAADA0NERERAX19fWzduhV9+/bF7du3YWhoCABISkpCeHg4fv75Zzx58gSenp5Yvnw5lixZAgCYOXMmzpw5g8OHD8PExARz585FbGwsOnXqVG6eeXl5pd4wraWlhatXr6KgoADq6urlxly8eFFhu9ra2qWO+e9//4u//voLFhYWAIC7d+/ihx9+wE8//YSsrCz4+Phg8uTJ+Pe//w0A+Pe//40JEyaUex4A2Lp1K0aMGKEwpjw5OTkICQmBpaUlTE1NFcZOnjwZAwYMgLOzMxYvXiy3LyYmBn5+ftizZw8cHR3x+PFjXLhwoVo5NRQsboiISI6pqSnWrVsHiUQCKysr3Lx5E+vWrSuzuDlz5gxu3ryJjIwMaGhoAABWr16N8PBwHDhwAOPHjwcAFBcXIzQ0FI0bNwbwcpTi1KlTWLJkCbKzs7Fz507s3r0bLi4uAF4WWC1atFCYp5ubG3bs2AEPDw907twZsbGx2LVrFwoKCvDw4UNIpVK4ublh7dq1cHJyQqtWrXDq1CkcOXJE4TSOm5sbpk+fjtGjR6NPnz64e/eueAN1WlqaWNzk5ubK5blx40YMGDAAa9asgYmJCQYPHowePXoo7IOxsbHC/WXZsmULZs2ahZycHFhbWyMyMhKNGjUqN37fvn24fv06rl27Vub+lJQU6OjoYODAgWjcuDHMzc1hb29f5bwaEhY3RER1yLOcL5iGxMHBARKJRFyXyWRYs2YNioqKoKqqKhcbGxuL7OxsGBkZyW1/8eIFkpKSxHULCwuxsAEAqVSKjIwMAC9HdfLz8yGTycT9hoaGsLKyUpjn/PnzkZ6eDgcHBwiCAGNjY4wePRorV64U81y/fj3GjRsHa2trSCQStGrVCp9//jlCQkLKbXfcuHFISkrCwIEDUVBQAD09PUydOhVBQUFy/TczM5MrwGQyGYqLi5GYmAgTExM0btxYrs81ZcSIEXBxcUFaWhpWr14NT09PXLp0qdQIFQCkpqZi6tSpOHnyZJn7AcDFxQXm5uZo2bIl+vXrh379+mHo0KGlRq/eJrznhoioDqlpa9fpUtuKi4shlUoRHx8vtyQmJmLmzJlinLq6utxxEokExcXFAKDwfh5FtLS0sGvXLjx//hz37t1DSkqKWES99957AICmTZsiPDwcOTk5+Ouvv/DHH39AV1cXlpaW5bYrkUiwYsUKZGdn46+//kJ6ejq6d+8OAOKoTXnHvfq///73v6Grq6twKZnCqgp9fX20adMGTk5OOHDgAP744w8cPny4zNjY2FhkZGSgS5cuUFNTg5qaGs6dO4cNGzZATU0NRUVFaNy4Ma5fv469e/dCKpXiq6++QseOHd/o/qH6xpEbIiKSc+XKlVLrbdq0KTVqAwCdO3dGeno61NTUFH7xK9K6dWuoq6vjypUrMDMzAwA8efIEt2/fRq9evSo8Xl1dXRxB2bdvHwYOHAgVFfn/766pqYn3338fBQUFOHjwIDw9PStsV1VVFe+//z4AYO/evZDJZGjWrJm4PyUlBX///TeaN28OAIiKioKKigratm0LALU2LfU6QRCQl5dX5r6+ffvi5s2bcts+//xzWFtbY/bs2eI1VVNTg7OzM5ydnbFgwQIYGBjg9OnT+Pjjj984v/rA4oaIiOSkpqbC398fEyZMwPXr17Fx48Zyf13k7OwMmUwGDw8PrFixAlZWVvj7778REREBDw8PdO3atcLz6erqwsfHBzNnzoSRkRGMjY0RGBhYqkB53e3bt3H16lX06NEDT548wdq1a/Gf//wHYWFhYkx0dDTu37+PTp064f79+wgKCkJxcTFmzZolxmzatAmHDx/GqVOnAAAPHz7EgQMH0Lt3b+Tm5iIkJAQ//vgjzp07J3d+TU1NjBo1CqtXr0ZWVhb8/Pzg6ekJExMTAKjytNTjx4/FggkAEhMTAQAmJiYwMTHBn3/+if3798PV1RVNmzbF/fv3sWLFCmhpaaF///5iO3379sXQoUPh6+uLxo0bo127dnLn0dHRgZGRkbj9559/xp9//gknJyc0adIEERERKC4urnBasCFjcUNERHJGjhyJFy9eoHv37lBVVcWUKVPEG4NfJ5FIEBERgcDAQIwZMwb//PMPTExM4OTkVKVRiVWrViE7OxuDBw9G48aN8eWXXyIzM1PhMUVFRVizZg0SExOhrq6OPn364PLly3IjSLm5uZg3bx7+/PNP6Orqon///tizZw8MDAzEmIcPH8rdHwS8vKF5xowZEAQBMpkMZ8+eFaemSrRu3Roff/wx+vfvj8ePH6N///7YsmVLpfv8uqNHj+Lzzz8X14cNGwYAWLBgAYKCgqCpqYkLFy4gODgYT548gbGxMZycnHD58mW5EaWkpCQ8fPiw0uc1MDDAoUOHEBQUhNzcXLRp0wZ79+6FnZ1dtftS3yRCdSc7G5isrCzo6+sjMzMTenp6Ndq2xZxjCvffWz6gRs9HRG+33NxcJCcnw9LSstybOOntFhQUhPDw8DKfIkylKfpM1Mb3N28oJiIiIqXC4oaIiIiUCosbIiKiKgoKCuKUVAPG4oaIiIiUSpWLm/Pnz2PQoEFo3rw5JBIJwsPDKzzm3Llz6NKlCzQ1NdGyZUt8++23pWIOHjwIW1tbaGhowNbWttwHEhERvS2U5PcaRG+srj8LVS5ucnJy0LFjx0q/+j05ORn9+/fHhx9+iLi4OMydOxd+fn44ePCgGBMVFQUvLy94e3vjt99+g7e3Nzw9PREdHV3V9IiI6l3J03ifV/Ot3ETKpuSz8PqTqmvLG/0UXCKR4PDhw/Dw8Cg3Zvbs2Th69CgSEhLEbRMnTsRvv/2GqKgoAICXlxeysrJw/PhxMaZfv35o0qQJ9u7dW6lc+FNwImpI0tLS8PTpUzRr1gza2tpy72oielcIgoDnz58jIyMDBgYGkEqlpWJq4/u71h/iFxUVBVdXV7ltbm5u2Llzp/hK+qioKEyfPr1UTMlbWMuSl5cn97jprKysGs2biOhNlDyltuTlkETvMgMDA/EzURdqvbhJT08v9ZRKY2NjFBYWiq+kLy8mPT293HaXLVuGhQsX1krORERvSiKRQCqVolmzZigoKKjvdIjqjbq6epnvJatNdfL6hdeHY0tmwl7dXlaMomHcgIAA+Pv7i+tZWVkwNTWtiXSrrGTaitNTRPQ6VVXVOv8PO9G7rtaLGxMTk1IjMBkZGVBTU4ORkZHCGEXvJdHQ0ICGhkbNJ0xERERvtVp/zo1MJkNkZKTctpMnT6Jr167iXdPlxTg6OtZ2ekRERKRkqjxyk52djbt374rrycnJiI+Ph6GhIczMzBAQEID79+9j9+7dAF7+MmrTpk3w9/fHuHHjEBUVhZ07d8r9Cmrq1KlwcnLCihUrMGTIEBw5cgS//vorLl68WANdJCIiondJlUduYmJiYG9vD3t7ewCAv78/7O3t8dVXXwF4+fPHlJQUMd7S0hIRERE4e/YsOnXqhK+//hobNmzAJ598IsY4Ojpi3759CAkJQYcOHRAaGor9+/ejR48eb9o/IiIiese80XNuGpL6fM5NCd5QTEREVDW18f3Nd0sRERGRUmFxQ0REREqFxQ0REREpFRY3REREpFRY3BAREZFSYXFDRERESoXFDRERESkVFjdERESkVFjcEBERkVJhcUNERERKhcUNERERKRUWN0RERKRUWNwQERGRUmFxQ0REREqFxQ0REREpFRY3REREpFRY3BAREZFSYXFDRERESoXFDRERESkVFjdERESkVFjcEBERkVJhcUNERERKhcVNDbKYcwwWc47VdxpERETvNBY3REREpFRY3BAREZFSYXFDRERESoXFDRERESkVFjdERESkVFjcEBERkVJhcUNERERKhcUNERERKRUWN0RERKRUWNwQERGRUmFxQ0REREqFxQ0REREpFRY3REREpFRY3BAREZFSqVZxs2XLFlhaWkJTUxNdunTBhQsXyo0dPXo0JBJJqcXOzk6MCQ0NLTMmNze3OukRERHRO6zKxc3+/fsxbdo0BAYGIi4uDh9++CHc3d2RkpJSZvz69euRlpYmLqmpqTA0NMSnn34qF6enpycXl5aWBk1Nzer1ioiIiN5ZalU9YO3atfDx8cHYsWMBAMHBwfjll1/wzTffYNmyZaXi9fX1oa+vL66Hh4fjyZMn+Pzzz+XiJBIJTExMKp1HXl4e8vLyxPWsrKyqdoWIiIiUUJVGbvLz8xEbGwtXV1e57a6urrh8+XKl2ti5cyecnZ1hbm4utz07Oxvm5uZo0aIFBg4ciLi4OIXtLFu2TCyc9PX1YWpqWpWuEBERkZKqUnHz8OFDFBUVwdjYWG67sbEx0tPTKzw+LS0Nx48fF0d9SlhbWyM0NBRHjx7F3r17oampiZ49e+LOnTvlthUQEIDMzExxSU1NrUpXiIiISElVeVoKeDmF9CpBEEptK0toaCgMDAzg4eEht93BwQEODg7ies+ePdG5c2ds3LgRGzZsKLMtDQ0NaGhoVD15IiIiUmpVGrl57733oKqqWmqUJiMjo9RozusEQcCuXbvg7e2NRo0aKU5KRQXdunVTOHJDREREVJYqFTeNGjVCly5dEBkZKbc9MjISjo6OCo89d+4c7t69Cx8fnwrPIwgC4uPjIZVKq5IeERERUdWnpfz9/eHt7Y2uXbtCJpNh27ZtSElJwcSJEwG8vBfm/v372L17t9xxO3fuRI8ePdCuXbtSbS5cuBAODg5o06YNsrKysGHDBsTHx2Pz5s3V7Fb9sphzDABwb/mAes6EiIjo3VPl4sbLywuPHj3CokWLkJaWhnbt2iEiIkL89VNaWlqpZ95kZmbi4MGDWL9+fZltPn36FOPHj0d6ejr09fVhb2+P8+fPo3v37tXoEhEREb3LJIIgCPWdRE3IysqCvr4+MjMzoaenV6Ntl4zEVBVHboiIiBSrje9vvluKiIiIlAqLGyIiIlIqLG6IiIhIqbC4ISIiIqXC4oaIiIiUCosbIiIiUiosboiIiEipsLghIiIipcLihoiIiJQKixsiIiJSKixuiIiISKmwuCEiIiKlwuKGiIiIlAqLGyIiIlIqLG6IiIhIqbC4ISIiIqXC4oaIiIiUCoubWmQx5xgs5hyr7zSIiIjeKSxuiIiISKmwuCEiIiKlwuKGiIiIlAqLGyIiIlIqLG6IiIhIqbC4ISIiIqXC4oaIiIiUCosbIiIiUiosboiIiEipsLghIiIipcLihoiIiJQKixsiIiJSKixuiIiISKmwuCEiIiKlwuKGiIiIlAqLGyIiIlIqLG7qgMWcY7CYc6y+0yAiInonsLghIiIipVKt4mbLli2wtLSEpqYmunTpggsXLpQbe/bsWUgkklLLH3/8IRd38OBB2NraQkNDA7a2tjh8+HB1UiMiIqJ3XJWLm/3792PatGkIDAxEXFwcPvzwQ7i7uyMlJUXhcYmJiUhLSxOXNm3aiPuioqLg5eUFb29v/Pbbb/D29oanpyeio6Or3iMiIiJ6p0kEQRCqckCPHj3QuXNnfPPNN+I2GxsbeHh4YNmyZaXiz549iz59+uDJkycwMDAos00vLy9kZWXh+PHj4rZ+/fqhSZMm2Lt3b6XyysrKgr6+PjIzM6Gnp1eVLlWopu6Xubd8QI20Q0REpCxq4/u7SiM3+fn5iI2Nhaurq9x2V1dXXL58WeGx9vb2kEql6Nu3L86cOSO3LyoqqlSbbm5uCtvMy8tDVlaW3EJERERUpeLm4cOHKCoqgrGxsdx2Y2NjpKenl3mMVCrFtm3bcPDgQRw6dAhWVlbo27cvzp8/L8akp6dXqU0AWLZsGfT19cXF1NS0Kl0hIiIiJaVWnYMkEoncuiAIpbaVsLKygpWVlbguk8mQmpqK1atXw8nJqVptAkBAQAD8/f3F9aysLBY4REREVLWRm/feew+qqqqlRlQyMjJKjbwo4uDggDt37ojrJiYmVW5TQ0MDenp6cgsRERFRlYqbRo0aoUuXLoiMjJTbHhkZCUdHx0q3ExcXB6lUKq7LZLJSbZ48ebJKbRIREREB1ZiW8vf3h7e3N7p27QqZTIZt27YhJSUFEydOBPByuuj+/fvYvXs3ACA4OBgWFhaws7NDfn4+vvvuOxw8eBAHDx4U25w6dSqcnJywYsUKDBkyBEeOHMGvv/6Kixcv1lA3iYiI6F1R5eLGy8sLjx49wqJFi5CWloZ27dohIiIC5ubmAIC0tDS5Z97k5+djxowZuH//PrS0tGBnZ4djx46hf//+YoyjoyP27duHefPmYf78+WjVqhX279+PHj161EAXiYiI6F1S5efcNFR8zg0REdHbp96fc0NERETU0LG4qUN8OzgREVHtY3FDRERESoXFDRERESkVFjdERESkVFjcEBERkVJhcUNERERKhcUNERERKRUWN0RERKRUWNwQERGRUmFxQ0REREqFxQ0REREpFRY3REREpFRY3BAREZFSYXFTD/jyTCIiotrD4oaIiIiUCosbIiIiUiosboiIiEipsLghIiIipcLihoiIiJQKixsiIiJSKixuiIiISKmwuCEiIiKlwuKGiIiIlAqLGyIiIlIqLG7qicWcY3wNAxERUS1gcUNERERKhcUNERERKRUWN0RERKRUWNwQERGRUmFxQ0REREqFxQ0REREpFRY3REREpFRY3BAREZFSYXFTz/gwPyIioprF4oaIiIiUCosbIiIiUirVKm62bNkCS0tLaGpqokuXLrhw4UK5sYcOHYKLiwuaNm0KPT09yGQy/PLLL3IxoaGhkEgkpZbc3NzqpEdERETvsCoXN/v378e0adMQGBiIuLg4fPjhh3B3d0dKSkqZ8efPn4eLiwsiIiIQGxuLPn36YNCgQYiLi5OL09PTQ1pamtyiqalZvV4RERHRO0utqgesXbsWPj4+GDt2LAAgODgYv/zyC7755hssW7asVHxwcLDc+tKlS3HkyBH89NNPsLe3F7dLJBKYmJhUOo+8vDzk5eWJ61lZWVXsCRERESmjKo3c5OfnIzY2Fq6urnLbXV1dcfny5Uq1UVxcjGfPnsHQ0FBue3Z2NszNzdGiRQsMHDiw1MjO65YtWwZ9fX1xMTU1rUpXakxxfjH+WpGAv1YkoDi/uF5yeBM5OfmQSFZDIlmNnJx8pT3n26bw+XN8b2eH7+3sUPj8eX2nQ5XUUK9bQ82LqLZUqbh5+PAhioqKYGxsLLfd2NgY6enplWpjzZo1yMnJgaenp7jN2toaoaGhOHr0KPbu3QtNTU307NkTd+7cKbedgIAAZGZmiktqampVukJERERKqsrTUsDLKaRXCYJQaltZ9u7di6CgIBw5cgTNmjUTtzs4OMDBwUFc79mzJzp37oyNGzdiw4YNZbaloaEBDQ2N6qTfIJU86+be8gH1nAkREdHbrUrFzXvvvQdVVdVSozQZGRmlRnNet3//fvj4+ODHH3+Es7OzwlgVFRV069ZN4cgNERERUVmqNC3VqFEjdOnSBZGRkXLbIyMj4ejoWO5xe/fuxejRo/H9999jwICKRyYEQUB8fDykUmlV0iMiIiKq+rSUv78/vL290bVrV8hkMmzbtg0pKSmYOHEigJf3wty/fx+7d+8G8LKwGTlyJNavXw8HBwdx1EdLSwv6+voAgIULF8LBwQFt2rRBVlYWNmzYgPj4eGzevLmm+klERETviCoXN15eXnj06BEWLVqEtLQ0tGvXDhERETA3NwcApKWlyT3zZuvWrSgsLMTkyZMxefJkcfuoUaMQGhoKAHj69CnGjx+P9PR06Ovrw97eHufPn0f37t3fsHtEb6EgfaBQAuD9l+tLmwNqwmsxmXWeFhHR26JaNxRPmjQJkyZNKnNfScFS4uzZsxW2t27dOqxbt646qRARERHJqVZxQ7WHv5p6ywXpN5zzcHSHiN5RLG6I3kRdFTPV8XpuLHaI6B3Bt4ITERGRUuHIDVFlNeRRmsrgSA4RvSM4ckNERERKhSM3ROV520dqKlJW/ziaQ0RKgCM3DZTFnGPiL6eIiIio8jhyQ0T/w/tyiEgJsLghKqHs01BERO8ITksRERGRUuHIDRGVj9NURPQWYnHTwPF1DLWEU1BEREqLxQ0RVR5/Pk5EbwEWN/Ru4EgNEdE7g8UNEb0Z3pdDRA0Mi5u3BO+9qSKO1BARvbNY3BBRzeJIDhHVMz7nhoiIiJQKR27o7ccpKCIiegWLm7cM772htw5/Pk5EdYzFDb19OFLz9uN9OURUi3jPDRERESkVjty8pTg9RUqFIzlEVINY3FDDx2koIiKqAhY3bzmO4JBS4k3IRPQGWNxQw8JRGiIiekO8oZiIiIiUCkdulMRbOz21pDnQqKC+s6C3AW86JqJKYnGjZN7aIoeoqljsEFE5WNxQ3QrSB/LVAcyp70yIiEhJsbhRUhZzjtX/6A1vDqa6xF9YEdH/x+JGiXGKit55nLoieiexuKGaw5EaIiJqAFjcvAM4gkP0/3Ekh+idwOLmHVLjRQ5Hauhtx/t0iJQSi5t3UEmRAwDF+cWVO4iFDL0rOLpD9Nar1hOKt2zZAktLS2hqaqJLly64cOGCwvhz586hS5cu0NTURMuWLfHtt9+Wijl48CBsbW2hoaEBW1tbHD58uDqp0Ruwmf/L/wqfIH35hehd9fpngZ8HogavyiM3+/fvx7Rp07Blyxb07NkTW7duhbu7O27dugUzM7NS8cnJyejfvz/GjRuH7777DpcuXcKkSZPQtGlTfPLJJwCAqKgoeHl54euvv8bQoUNx+PBheHp64uLFi+jRo8eb95IqJUHzc+g0KgCC6jsTogauvAKnUALg/TpNhYhKq3Jxs3btWvj4+GDs2LEAgODgYPzyyy/45ptvsGzZslLx3377LczMzBAcHAwAsLGxQUxMDFavXi0WN8HBwXBxcUFAQAAAICAgAOfOnUNwcDD27t1b3b5ROe5pfib+c46KOnT5QD2imre0OaAmVD6e019ENaZKxU1+fj5iY2MxZ478l6GrqysuX75c5jFRUVFwdXWV2+bm5oadO3eioKAA6urqiIqKwvTp00vFlBREZcnLy0NeXp64npn58j8MWVlZVelSpRTnPS9/X34xgNz/xQm1+y7S/2j6vHEbWf/7syHnlfyz8opRJFThP8bVVB/nfNsUFgLPi4oAAFl5AtSK+Dd6G7zRdQvQq6WsgMJCCZ4XSQEAWQukUHu96Ar4b62dm6giJd/bQg1+F1SpuHn48CGKiopgbGwst93Y2Bjp6ellHpOenl5mfGFhIR4+fAipVFpuTHltAsCyZcuwcOHCUttNTU0r250ad39L7Z+jdmb75wMAmq+tlcYb0DnfNi8/8OMS6zkNqqKGet0U5LWc9xFR/Xv27Bn09Wvm38Vq/VpKIpHIrQuCUGpbRfGvb69qmwEBAfD39xfXi4uL8fjxYxgZGSk8ThlkZWXB1NQUqamp0NOrvf+319Cw3+9Ov9/FPgPs97vU73exz0DZ/RYEAc+ePUPz5s1r7DxVKm7ee+89qKqqlhpRycjIKDXyUsLExKTMeDU1NRgZGSmMKa9NANDQ0ICGhobcNgMDg8p2RSno6em9Ux+KEuz3u+Nd7DPAfr9L3sU+A6X7XVMjNiWqdINIo0aN0KVLF0RGRsptj4yMhKOjY5nHyGSyUvEnT55E165doa6urjCmvDaJiIiIylPlaSl/f394e3uja9eukMlk2LZtG1JSUjBx4kQAL6eL7t+/j927dwMAJk6ciE2bNsHf3x/jxo1DVFQUdu7cKfcrqKlTp8LJyQkrVqzAkCFDcOTIEfz666+4ePFiDXWTiIiI3hVVLm68vLzw6NEjLFq0CGlpaWjXrh0iIiJgbm4OAEhLS0NKSooYb2lpiYiICEyfPh2bN29G8+bNsWHDBvFn4ADg6OiIffv2Yd68eZg/fz5atWqF/fv38xk35dDQ0MCCBQtKTcspO/b73en3u9hngP1+l/r9LvYZqLt+S4Sa/O0VERERUT2r3YeyEBEREdUxFjdERESkVFjcEBERkVJhcUNERERKhcVNA7Ns2TJ069YNjRs3RrNmzeDh4YHERMXPcT979iwkEkmp5Y8//qijrN9cUFBQqfxNTEwUHnPu3Dl06dIFmpqaaNmyJb799ts6yrbmWFhYlHntJk+eXGb823itz58/j0GDBqF58+aQSCQIDw+X2y8IAoKCgtC8eXNoaWmhd+/e+P333yts9+DBg7C1tYWGhgZsbW1x+PDhWupB9Sjqd0FBAWbPno327dtDR0cHzZs3x8iRI/H3338rbDM0NLTM65+bm1vLvam8iq736NGjS+Xv4OBQYbtv8/UGUOZ1k0gkWLVqVbltNvTrXZnvq/r6fLO4aWDOnTuHyZMn48qVK4iMjERhYSFcXV2Rk5NT4bGJiYlIS0sTlzZt2tRBxjXHzs5OLv+bN2+WG5ucnIz+/fvjww8/RFxcHObOnQs/Pz8cPHiwDjN+c9euXZPrc8nDLD/99FOFx71N1zonJwcdO3bEpk2byty/cuVKrF27Fps2bcK1a9dgYmICFxcXPHv2rNw2o6Ki4OXlBW9vb/z222/w9vaGp6cnoqOja6sbVaao38+fP8f169cxf/58XL9+HYcOHcLt27cxePDgCtvV09OTu/ZpaWnQ1NSsjS5US0XXGwD69esnl39ERITCNt/26w2g1DXbtWsXJBKJ3GNRytKQr3dlvq/q7fMtUIOWkZEhABDOnTtXbsyZM2cEAMKTJ0/qLrEatmDBAqFjx46Vjp81a5ZgbW0tt23ChAmCg4NDDWdWt6ZOnSq0atVKKC4uLnP/236tAQiHDx8W14uLiwUTExNh+fLl4rbc3FxBX19f+Pbbb8ttx9PTU+jXr5/cNjc3N2HYsGE1nnNNeL3fZbl69aoAQPjrr7/KjQkJCRH09fVrNrlaVFa/R40aJQwZMqRK7Sjj9R4yZIjw0UcfKYx52673699X9fn55shNA5eZmQkAMDQ0rDDW3t4eUqkUffv2xZkzZ2o7tRp3584dNG/eHJaWlhg2bBj+/PPPcmOjoqLg6uoqt83NzQ0xMTEoKCio7VRrRX5+Pr777juMGTOmwpe/vu3XukRycjLS09PlrqWGhgZ69eqFy5cvl3tceddf0TENXWZmJiQSSYXvyMvOzoa5uTlatGiBgQMHIi4urm4SrEFnz55Fs2bN0LZtW4wbNw4ZGRkK45Xtej948ADHjh2Dj49PhbFv0/V+/fuqPj/fLG4aMEEQ4O/vjw8++ADt2rUrN04qlWLbtm04ePAgDh06BCsrK/Tt2xfnz5+vw2zfTI8ePbB792788ssv2L59O9LT0+Ho6IhHjx6VGZ+enl7qxarGxsYoLCzEw4cP6yLlGhceHo6nT59i9OjR5cYow7V+VckLc8u6lq+/TPf146p6TEOWm5uLOXPm4LPPPlP4EkVra2uEhobi6NGj2Lt3LzQ1NdGzZ0/cuXOnDrN9M+7u7vj3v/+N06dPY82aNbh27Ro++ugj5OXllXuMsl3vsLAwNG7cGB9//LHCuLfpepf1fVWfn+8qv36B6o6vry9u3LhR4Tu2rKysYGVlJa7LZDKkpqZi9erVcHJyqu00a4S7u7v4z+3bt4dMJkOrVq0QFhYGf3//Mo95fXRD+P8P265o1KOh2rlzJ9zd3dG8efNyY5ThWpelrGtZ0XWszjENUUFBAYYNG4bi4mJs2bJFYayDg4Pczbc9e/ZE586dsXHjRmzYsKG2U60RXl5e4j+3a9cOXbt2hbm5OY4dO6bwy15ZrjcA7Nq1CyNGjKjw3pm36Xor+r6qj883R24aqClTpuDo0aM4c+YMWrRoUeXjHRwcGmR1X1k6Ojpo3759uX0wMTEpVcVnZGRATU0NRkZGdZFijfrrr7/w66+/YuzYsVU+9m2+1iW/iCvrWr7+/9xeP66qxzREBQUF8PT0RHJyMiIjIxWO2pRFRUUF3bp1e2uvP/ByNNLc3FxhH5TlegPAhQsXkJiYWK3PekO93uV9X9Xn55vFTQMjCAJ8fX1x6NAhnD59GpaWltVqJy4uDlKptIazqzt5eXlISEgotw8ymUz8ZVGJkydPomvXrlBXV6+LFGtUSEgImjVrhgEDBlT52Lf5WltaWsLExETuWubn5+PcuXNwdHQs97jyrr+iYxqaksLmzp07+PXXX6tVlAuCgPj4+Lf2+gPAo0ePkJqaqrAPynC9S+zcuRNdunRBx44dq3xsQ7veFX1f1evnu9K3HlOd+OKLLwR9fX3h7NmzQlpamrg8f/5cjJkzZ47g7e0trq9bt044fPiwcPv2beE///mPMGfOHAGAcPDgwfroQrV8+eWXwtmzZ4U///xTuHLlijBw4EChcePGwr179wRBKN3nP//8U9DW1hamT58u3Lp1S9i5c6egrq4uHDhwoL66UG1FRUWCmZmZMHv27FL7lOFaP3v2TIiLixPi4uIEAMLatWuFuLg48VdBy5cvF/T19YVDhw4JN2/eFIYPHy5IpVIhKytLbMPb21uYM2eOuH7p0iVBVVVVWL58uZCQkCAsX75cUFNTE65cuVLn/SuPon4XFBQIgwcPFlq0aCHEx8fLfdbz8vLENl7vd1BQkHDixAkhKSlJiIuLEz7//HNBTU1NiI6Oro8ulklRv589eyZ8+eWXwuXLl4Xk5GThzJkzgkwmE95//32lvt4lMjMzBW1tbeGbb74ps4237XpX5vuqvj7fLG4aGABlLiEhIWLMqFGjhF69eonrK1asEFq1aiVoamoKTZo0ET744APh2LFjdZ/8G/Dy8hKkUqmgrq4uNG/eXPj444+F33//Xdz/ep8FQRDOnj0r2NvbC40aNRIsLCzK/Q9GQ/fLL78IAITExMRS+5ThWpf8fP31ZdSoUYIgvPy56IIFCwQTExNBQ0NDcHJyEm7evCnXRq9evcT4Ej/++KNgZWUlqKurC9bW1g2uwFPU7+Tk5HI/62fOnBHbeL3f06ZNE8zMzIRGjRoJTZs2FVxdXYXLly/XfecUUNTv58+fC66urkLTpk0FdXV1wczMTBg1apSQkpIi14ayXe8SW7duFbS0tISnT5+W2cbbdr0r831VX59vyf9PkIiIiEgp8J4bIiIiUiosboiIiEipsLghIiIipcLihoiIiJQKixsiIiJSKixuiIiISKmwuCEiIiKlwuKGiIiIlAqLGyIS9e7dG9OmTVMYY2FhgeDg4Bo7Z020FxoaCgMDgyodI5FIEB4e/kbnJaKGicUNERERKRUWN0RERKRUWNwQkZzCwkL4+vrCwMAARkZGmDdvHhS9gi4lJQVDhgyBrq4u9PT04OnpiQcPHsjFHD16FF27doWmpibee+89fPzxx+W2FxISAn19fURGRpYbExoaCjMzM2hra2Po0KF49OhRqZiffvoJXbp0gaamJlq2bImFCxeisLCw3DZnz56Ntm3bQltbGy1btsT8+fNRUFAAALh37x5UVFQQExMjd8zGjRthbm6u8O9DRHWPxQ0RyQkLC4Oamhqio6OxYcMGrFu3Djt27CgzVhAEeHh44PHjxzh37hwiIyORlJQELy8vMebYsWP4+OOPMWDAAMTFxeHUqVPo2rVrme2tXr0aM2bMwC+//AIXF5cyY6KjozFmzBhMmjQJ8fHx6NOnDxYvXiwX88svv+D//u//4Ofnh1u3bmHr1q0IDQ3FkiVLyu1348aNERoailu3bmH9+vXYvn071q1bB+DlfUHOzs4ICQmROyYkJASjR4+GRCIpt10iqgfVeMs5ESmpXr16CTY2NkJxcbG4bfbs2YKNjY24bm5uLqxbt04QBEE4efKkoKqqKqSkpIj7f//9dwGAcPXqVUEQBEEmkwkjRowo95wl7c2ZM0eQSqXCjRs3FOY4fPhwoV+/fnLbvLy8BH19fXH9ww8/FJYuXSoXs2fPHkEqlYrrAITDhw+Xe56VK1cKXbp0Edf3798vNGnSRMjNzRUEQRDi4+MFiUQiJCcnK8yXiOoeR26ISI6Dg4PcSIRMJsOdO3dQVFRUKjYhIQGmpqYwNTUVt9na2sLAwAAJCQkAgPj4ePTt21fhOdesWYOtW7fi4sWLaN++vcLYhIQEyGQyuW2vr8fGxmLRokXQ1dUVl3HjxiEtLQ3Pnz8vs90DBw7ggw8+gImJCXR1dTF//nykpKSI+z08PKCmpobDhw8DAHbt2oU+ffrAwsJCYb5EVPdY3BBRtQmCUOaUzKvbtbS0Kmznww8/RFFREX744YdKnbMixcXFWLhwIeLj48Xl5s2buHPnDjQ1NUvFX7lyBcOGDYO7uzt+/vlnxMXFITAwEPn5+WJMo0aN4O3tjZCQEOTn5+P777/HmDFjKsyFiOqeWn0nQEQNy5UrV0qtt2nTBqqqqqVibW1tkZKSgtTUVHH05tatW8jMzISNjQ0AoEOHDjh16hQ+//zzcs/ZvXt3TJkyBW5ublBVVcXMmTPLjbW1tS0zx1d17twZiYmJaN26teLO/n+XLl2Cubk5AgMDxW1//fVXqbixY8eiXbt22LJlCwoKChTeGE1E9YfFDRHJSU1Nhb+/PyZMmIDr169j48aNWLNmTZmxzs7O6NChA0aMGIHg4GAUFhZi0qRJ6NWrl3jT8IIFC9C3b1+0atUKw4YNQ2FhIY4fP45Zs2bJtSWTyXD8+HH069cPampqmD59epnn9PPzg6OjI1auXAkPDw+cPHkSJ06ckIv56quvMHDgQJiamuLTTz+FiooKbty4gZs3b5a6+RgAWrdujZSUFOzbtw/dunXDsWPHxOmnV9nY2MDBwQGzZ8/GmDFjKjUqRUR1j9NSRCRn5MiRePHiBbp3747JkydjypQpGD9+fJmxJU/5bdKkCZycnODs7IyWLVti//79Ykzv3r3x448/4ujRo+jUqRM++ugjREdHl9lez549cezYMcyfPx8bNmwoM8bBwQE7duzAxo0b0alTJ5w8eRLz5s2Ti3Fzc8PPP/+MyMhIdOvWDQ4ODli7di3Mzc3LbHPIkCGYPn06fH190alTJ1y+fBnz588vM9bHxwf5+fmckiJqwCRCZSawiYgIALBkyRLs27cPN2/erO9UiKgcHLkhIqqE7OxsXLt2DRs3boSfn199p0NECrC4ISKqBF9fX3zwwQfo1asXp6SIGjhOSxEREZFS4cgNERERKRUWN0RERKRUWNwQERGRUmFxQ0REREqFxQ0REREpFRY3REREpFRY3BAREZFSYXFDRERESuX/AWAWktzVdOdJAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -464,96 +464,6 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "a0123dab-cf0d-4721-81c7-bb881a27c13c",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "cardano parameters\n",
-      "running sim\n",
-      "leader\t7.09s\n",
-      "emit\t1.11s\n",
-      "slot\t8.20s\n",
-      "forkchoice\t0.22s\n",
-      "emit_leader_block\t0.25s\n",
-      "prep\t0.00s\n",
-      "total\t8.27s\n",
-      "finished sim in 8.27s\n",
-      "running analysis\n",
-      "Processing block Block(id=5000, slot=142066, height=4877, parent=np.int64(4999), leader=np.int64(38))\n",
-      "Processing block Block(id=10000, slot=280035, height=9754, parent=np.int64(9999), leader=np.int64(60))\n",
-      "honest_chain\t0.00s\n",
-      "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.14s\n",
-      "nearest_honest\t0.00s\n",
-      "reorg_events\t2.57s\n",
-      "reorg_depth\t0.17s\n",
-      "depth_append\t0.01s\n",
-      "finished analysis in 3.64s\n",
-      "CPU times: user 10.8 s, sys: 1.1 s, total: 11.9 s\n",
-      "Wall time: 11.9 s\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_40560/682093512.py:279: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
-      "  _ = ax.legend()\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 2000x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "%%time\n",
-    "print(\"cardano parameters\")\n",
-    "target_block_number = 20000\n",
-    "cardano_block_time = 20\n",
-    "cardano_sim = Sim(\n",
-    "    params=Params(\n",
-    "        SLOTS=int(target_block_number * cardano_block_time),\n",
-    "        f=1/cardano_block_time,\n",
-    "        adversary_control = 0.30,\n",
-    "        honest_stake = np.random.pareto(10, 1000)\n",
-    "    ),\n",
-    "    network=no_blend_net\n",
-    ")\n",
-    "start_t = time.time()\n",
-    "print(\"running sim\")\n",
-    "cardano_sim.run(seed=5)\n",
-    "sim_t = time.time()\n",
-    "print(f\"finished sim in {sim_t - start_t:.2f}s\")\n",
-    "print(\"running analysis\")\n",
-    "cardano_adv = cardano_sim.adverserial_analysis(should_plot=True)\n",
-    "print(f\"finished analysis in {time.time() - sim_t:.2f}s\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "a9c8b16c-e813-441a-a123-f0a6253d9ef5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# cardano_sim.visualize_chain()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
    "id": "5f2da916-30a0-4b1d-886f-1bc81c17056e",
    "metadata": {},
    "outputs": [
@@ -571,8 +481,8 @@
       "avg blocks per slot 0.168\n",
       "Number of blocks 168\n",
       "longest chain 95\n",
-      "CPU times: user 27.2 ms, sys: 1.67 ms, total: 28.9 ms\n",
-      "Wall time: 28.2 ms\n"
+      "CPU times: user 27.2 ms, sys: 1.37 ms, total: 28.6 ms\n",
+      "Wall time: 27.8 ms\n"
      ]
     }
    ],
@@ -598,7 +508,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "id": "3130e27c-1ce6-439a-a6e7-436990b9315d",
    "metadata": {},
    "outputs": [
@@ -619,7 +529,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_40560/682093512.py:279: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
+      "/tmp/ipykernel_24758/682093512.py:279: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
       "  _ = ax.legend()\n"
      ]
     },
@@ -640,7 +550,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "id": "13b4392d-d4ab-4b97-a7db-2bede9b3de9a",
    "metadata": {},
    "outputs": [],
@@ -650,7 +560,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "id": "76de5a72-cca5-4b00-9feb-7563cca9c03d",
    "metadata": {},
    "outputs": [
@@ -659,13 +569,13 @@
      "output_type": "stream",
      "text": [
       "simulating 1/2\n",
-      "leader\t0.85s\n",
-      "emit\t0.23s\n",
-      "slot\t1.07s\n",
+      "leader\t0.84s\n",
+      "emit\t0.22s\n",
+      "slot\t1.06s\n",
       "forkchoice\t0.06s\n",
       "emit_leader_block\t0.06s\n",
       "prep\t0.00s\n",
-      "total\t1.09s\n",
+      "total\t1.08s\n",
       "simulating 2/2\n",
       "leader\t0.83s\n",
       "emit\t0.18s\n",
@@ -678,9 +588,9 @@
       "Processing block Block(id=5000, slot=98845, height=3776, parent=np.int64(4999), leader=np.int64(18))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.00s\n",
+      "prep_analysis\t0.01s\n",
       "nearest_honest\t0.00s\n",
-      "reorg_events\t0.15s\n",
+      "reorg_events\t0.14s\n",
       "reorg_depth\t0.01s\n",
       "depth_append\t0.00s\n",
       "honest_chain\t0.00s\n",
@@ -690,8 +600,8 @@
       "reorg_events\t0.10s\n",
       "reorg_depth\t0.01s\n",
       "depth_append\t0.00s\n",
-      "CPU times: user 2.36 s, sys: 75.7 ms, total: 2.44 s\n",
-      "Wall time: 2.43 s\n"
+      "CPU times: user 2.36 s, sys: 50.7 ms, total: 2.41 s\n",
+      "Wall time: 2.39 s\n"
      ]
     }
    ],
@@ -720,7 +630,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "id": "52ff4e83-c6f9-4933-9190-564124a479bc",
    "metadata": {},
    "outputs": [
@@ -772,7 +682,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "id": "f2bbb618-96c0-4a6d-b1dc-3b73ebafa5e2",
    "metadata": {},
    "outputs": [],
@@ -796,7 +706,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "id": "9cca2f57-1083-446c-b083-1dd158e0e7ca",
    "metadata": {},
    "outputs": [
@@ -805,47 +715,54 @@
      "output_type": "stream",
      "text": [
       "simulating 1/4\n",
-      "leader\t1.83s\n",
+      "leader\t1.85s\n",
       "emit\t0.25s\n",
-      "slot\t2.08s\n",
-      "forkchoice\t0.02s\n",
+      "slot\t2.10s\n",
+      "forkchoice\t0.03s\n",
       "emit_leader_block\t0.05s\n",
       "prep\t0.00s\n",
-      "total\t2.10s\n",
+      "total\t2.12s\n",
       "simulating 2/4\n",
-      "leader\t1.82s\n",
-      "emit\t0.25s\n",
-      "slot\t2.07s\n",
+      "leader\t1.85s\n",
+      "emit\t0.26s\n",
+      "slot\t2.11s\n",
       "forkchoice\t0.03s\n",
-      "emit_leader_block\t0.05s\n",
+      "emit_leader_block\t0.06s\n",
       "prep\t0.00s\n",
-      "total\t2.09s\n",
+      "total\t2.12s\n",
       "simulating 3/4\n",
-      "leader\t1.89s\n",
-      "emit\t0.30s\n",
-      "slot\t2.19s\n",
-      "forkchoice\t0.03s\n",
-      "emit_leader_block\t0.09s\n",
-      "prep\t0.00s\n",
-      "total\t2.21s\n",
-      "simulating 4/4\n",
-      "leader\t1.82s\n",
+      "leader\t1.85s\n",
       "emit\t0.25s\n",
-      "slot\t2.07s\n",
+      "slot\t2.10s\n",
       "forkchoice\t0.03s\n",
       "emit_leader_block\t0.05s\n",
       "prep\t0.00s\n",
-      "total\t2.09s\n",
+      "total\t2.12s\n",
+      "simulating 4/4\n",
+      "leader\t1.88s\n",
+      "emit\t0.26s\n",
+      "slot\t2.14s\n",
+      "forkchoice\t0.03s\n",
+      "emit_leader_block\t0.06s\n",
+      "prep\t0.00s\n",
+      "total\t2.16s\n",
       "finished simulation, starting analysis\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.04s\n",
+      "prep_analysis\t0.03s\n",
       "nearest_honest\t0.00s\n",
       "reorg_events\t0.06s\n",
       "reorg_depth\t0.01s\n",
       "depth_append\t0.00s\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
+      "prep_analysis\t0.04s\n",
+      "nearest_honest\t0.00s\n",
+      "reorg_events\t0.07s\n",
+      "reorg_depth\t0.01s\n",
+      "depth_append\t0.00s\n",
+      "honest_chain\t0.00s\n",
+      "honest_height_by_slot\t0.00s\n",
       "prep_analysis\t0.05s\n",
       "nearest_honest\t0.00s\n",
       "reorg_events\t0.07s\n",
@@ -855,18 +772,11 @@
       "honest_height_by_slot\t0.00s\n",
       "prep_analysis\t0.04s\n",
       "nearest_honest\t0.00s\n",
-      "reorg_events\t0.06s\n",
-      "reorg_depth\t0.01s\n",
-      "depth_append\t0.00s\n",
-      "honest_chain\t0.00s\n",
-      "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.05s\n",
-      "nearest_honest\t0.00s\n",
       "reorg_events\t0.07s\n",
       "reorg_depth\t0.01s\n",
       "depth_append\t0.00s\n",
-      "CPU times: user 8.71 s, sys: 273 ms, total: 8.99 s\n",
-      "Wall time: 9 s\n"
+      "CPU times: user 8.78 s, sys: 239 ms, total: 9.02 s\n",
+      "Wall time: 9.03 s\n"
      ]
     }
    ],
@@ -897,7 +807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "id": "1ff938f3-6bc4-4b8e-bd9a-492db140d7b9",
    "metadata": {},
    "outputs": [
@@ -930,7 +840,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 16,
    "id": "8c9a369c-2d55-4c07-8bfe-9e270cfed90a",
    "metadata": {},
    "outputs": [
@@ -939,203 +849,203 @@
      "output_type": "stream",
      "text": [
       "simulating 1/5\n",
-      "leader\t11.23s\n",
-      "emit\t1.81s\n",
-      "slot\t13.04s\n",
-      "forkchoice\t0.34s\n",
-      "emit_leader_block\t0.44s\n",
-      "prep\t0.00s\n",
-      "total\t13.16s\n",
-      "simulating 2/5\n",
-      "leader\t11.14s\n",
-      "emit\t1.82s\n",
-      "slot\t12.96s\n",
-      "forkchoice\t0.36s\n",
-      "emit_leader_block\t0.45s\n",
-      "prep\t0.00s\n",
-      "total\t13.07s\n",
-      "simulating 3/5\n",
-      "leader\t11.21s\n",
-      "emit\t1.79s\n",
-      "slot\t13.00s\n",
-      "forkchoice\t0.34s\n",
+      "leader\t17.13s\n",
+      "emit\t2.32s\n",
+      "slot\t19.46s\n",
+      "forkchoice\t0.29s\n",
       "emit_leader_block\t0.43s\n",
       "prep\t0.00s\n",
-      "total\t13.12s\n",
+      "total\t19.62s\n",
+      "simulating 2/5\n",
+      "leader\t16.95s\n",
+      "emit\t2.25s\n",
+      "slot\t19.20s\n",
+      "forkchoice\t0.28s\n",
+      "emit_leader_block\t0.38s\n",
+      "prep\t0.00s\n",
+      "total\t19.37s\n",
+      "simulating 3/5\n",
+      "leader\t16.92s\n",
+      "emit\t2.26s\n",
+      "slot\t19.18s\n",
+      "forkchoice\t0.28s\n",
+      "emit_leader_block\t0.41s\n",
+      "prep\t0.00s\n",
+      "total\t19.34s\n",
       "simulating 4/5\n",
-      "leader\t11.37s\n",
-      "emit\t1.97s\n",
-      "slot\t13.34s\n",
-      "forkchoice\t0.38s\n",
-      "emit_leader_block\t0.55s\n",
+      "leader\t17.43s\n",
+      "emit\t2.41s\n",
+      "slot\t19.84s\n",
+      "forkchoice\t0.30s\n",
+      "emit_leader_block\t0.49s\n",
       "prep\t0.00s\n",
-      "total\t13.46s\n",
+      "total\t20.01s\n",
       "simulating 5/5\n",
-      "leader\t11.49s\n",
-      "emit\t1.98s\n",
-      "slot\t13.47s\n",
-      "forkchoice\t0.41s\n",
-      "emit_leader_block\t0.53s\n",
+      "leader\t17.40s\n",
+      "emit\t2.46s\n",
+      "slot\t19.86s\n",
+      "forkchoice\t0.30s\n",
+      "emit_leader_block\t0.52s\n",
       "prep\t0.00s\n",
-      "total\t13.59s\n",
+      "total\t20.03s\n",
       "finished simulation, starting analysis\n",
-      "Processing block Block(id=5000, slot=166060, height=4172, parent=np.int64(4999), leader=np.int64(898))\n",
-      "Processing block Block(id=10000, slot=328970, height=8300, parent=np.int64(9998), leader=np.int64(368))\n",
-      "Processing block Block(id=15000, slot=492430, height=12468, parent=np.int64(14999), leader=np.int64(458))\n",
+      "Processing block Block(id=5000, slot=295115, height=4478, parent=np.int64(4999), leader=np.int64(924))\n",
+      "Processing block Block(id=10000, slot=579425, height=8965, parent=np.int64(9999), leader=np.int64(472))\n",
+      "Processing block Block(id=15000, slot=869955, height=13467, parent=np.int64(14999), leader=np.int64(210))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.20s\n",
+      "prep_analysis\t1.24s\n",
       "nearest_honest\t0.01s\n",
-      "reorg_events\t6.10s\n",
-      "reorg_depth\t0.22s\n",
-      "depth_append\t0.01s\n",
-      "Processing block Block(id=5000, slot=163604, height=4167, parent=np.int64(4999), leader=np.int64(688))\n",
-      "Processing block Block(id=10000, slot=327820, height=8322, parent=np.int64(9998), leader=np.int64(851))\n",
-      "Processing block Block(id=15000, slot=491848, height=12478, parent=np.int64(14998), leader=np.int64(698))\n",
+      "reorg_events\t11.99s\n",
+      "reorg_depth\t4.60s\n",
+      "depth_append\t6.41s\n",
+      "Processing block Block(id=5000, slot=287253, height=4496, parent=np.int64(4999), leader=np.int64(716))\n",
+      "Processing block Block(id=10000, slot=576285, height=8998, parent=np.int64(9999), leader=np.int64(677))\n",
+      "Processing block Block(id=15000, slot=864933, height=13485, parent=np.int64(14998), leader=np.int64(172))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.85s\n",
+      "prep_analysis\t1.52s\n",
       "nearest_honest\t0.01s\n",
-      "reorg_events\t6.49s\n",
-      "reorg_depth\t0.23s\n",
-      "depth_append\t0.01s\n",
-      "Processing block Block(id=5000, slot=167054, height=4189, parent=np.int64(4998), leader=np.int64(298))\n",
-      "Processing block Block(id=10000, slot=331876, height=8365, parent=np.int64(9999), leader=np.int64(74))\n",
-      "Processing block Block(id=15000, slot=495548, height=12498, parent=np.int64(14998), leader=np.int64(751))\n",
+      "reorg_events\t11.31s\n",
+      "reorg_depth\t4.52s\n",
+      "depth_append\t6.44s\n",
+      "Processing block Block(id=5000, slot=286124, height=4486, parent=np.int64(4999), leader=np.int64(23))\n",
+      "Processing block Block(id=10000, slot=577264, height=9004, parent=np.int64(9999), leader=np.int64(451))\n",
+      "Processing block Block(id=15000, slot=870737, height=13510, parent=np.int64(14999), leader=np.int64(293))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.74s\n",
+      "prep_analysis\t1.58s\n",
       "nearest_honest\t0.01s\n",
-      "reorg_events\t5.64s\n",
-      "reorg_depth\t0.22s\n",
-      "depth_append\t0.01s\n",
-      "Processing block Block(id=5000, slot=163948, height=4205, parent=np.int64(4999), leader=np.int64(263))\n",
-      "Processing block Block(id=10000, slot=330307, height=8387, parent=np.int64(9999), leader=np.int64(430))\n",
-      "Processing block Block(id=15000, slot=490093, height=12555, parent=np.int64(14999), leader=np.int64(579))\n",
+      "reorg_events\t10.31s\n",
+      "reorg_depth\t4.34s\n",
+      "depth_append\t6.28s\n",
+      "Processing block Block(id=5000, slot=289500, height=4485, parent=np.int64(4999), leader=np.int64(185))\n",
+      "Processing block Block(id=10000, slot=579978, height=8984, parent=np.int64(9999), leader=np.int64(119))\n",
+      "Processing block Block(id=15000, slot=883026, height=13524, parent=np.int64(14998), leader=np.int64(617))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.78s\n",
+      "prep_analysis\t1.39s\n",
       "nearest_honest\t0.01s\n",
-      "reorg_events\t5.49s\n",
-      "reorg_depth\t0.22s\n",
-      "depth_append\t0.01s\n",
-      "Processing block Block(id=5000, slot=159701, height=4168, parent=np.int64(4999), leader=np.int64(726))\n",
-      "Processing block Block(id=10000, slot=322826, height=8390, parent=np.int64(9999), leader=np.int64(487))\n",
-      "Processing block Block(id=15000, slot=486552, height=12577, parent=np.int64(14999), leader=np.int64(437))\n",
+      "reorg_events\t10.64s\n",
+      "reorg_depth\t4.41s\n",
+      "depth_append\t6.32s\n",
+      "Processing block Block(id=5000, slot=290896, height=4530, parent=np.int64(4999), leader=np.int64(746))\n",
+      "Processing block Block(id=10000, slot=588507, height=9046, parent=np.int64(9999), leader=np.int64(982))\n",
+      "Processing block Block(id=15000, slot=876733, height=13547, parent=np.int64(14998), leader=np.int64(839))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.58s\n",
-      "nearest_honest\t0.01s\n",
-      "reorg_events\t5.48s\n",
-      "reorg_depth\t0.22s\n",
-      "depth_append\t0.01s\n",
+      "prep_analysis\t1.34s\n",
+      "nearest_honest\t0.03s\n",
+      "reorg_events\t11.18s\n",
+      "reorg_depth\t4.41s\n",
+      "depth_append\t6.31s\n",
       "cardano parameters\n",
       "simulating 1/5\n",
-      "leader\t7.57s\n",
-      "emit\t1.37s\n",
-      "slot\t8.94s\n",
-      "forkchoice\t0.34s\n",
-      "emit_leader_block\t0.34s\n",
-      "prep\t0.00s\n",
-      "total\t9.02s\n",
+      "leader\t11.67s\n",
+      "emit\t32.71s\n",
+      "slot\t44.38s\n",
+      "forkchoice\t31.16s\n",
+      "emit_leader_block\t0.46s\n",
+      "prep\t0.01s\n",
+      "total\t44.50s\n",
       "simulating 2/5\n",
-      "leader\t7.56s\n",
-      "emit\t1.37s\n",
-      "slot\t8.94s\n",
-      "forkchoice\t0.34s\n",
-      "emit_leader_block\t0.35s\n",
+      "leader\t11.29s\n",
+      "emit\t32.47s\n",
+      "slot\t43.76s\n",
+      "forkchoice\t31.02s\n",
+      "emit_leader_block\t0.41s\n",
       "prep\t0.00s\n",
-      "total\t9.01s\n",
+      "total\t43.87s\n",
       "simulating 3/5\n",
-      "leader\t7.61s\n",
-      "emit\t1.40s\n",
-      "slot\t9.01s\n",
-      "forkchoice\t0.35s\n",
-      "emit_leader_block\t0.36s\n",
+      "leader\t11.23s\n",
+      "emit\t1.76s\n",
+      "slot\t13.00s\n",
+      "forkchoice\t0.29s\n",
+      "emit_leader_block\t0.43s\n",
       "prep\t0.00s\n",
-      "total\t9.09s\n",
+      "total\t13.11s\n",
       "simulating 4/5\n",
-      "leader\t7.56s\n",
-      "emit\t1.38s\n",
-      "slot\t8.94s\n",
-      "forkchoice\t0.34s\n",
-      "emit_leader_block\t0.36s\n",
+      "leader\t11.23s\n",
+      "emit\t1.70s\n",
+      "slot\t12.93s\n",
+      "forkchoice\t0.27s\n",
+      "emit_leader_block\t0.37s\n",
       "prep\t0.00s\n",
-      "total\t9.02s\n",
+      "total\t13.04s\n",
       "simulating 5/5\n",
-      "leader\t7.59s\n",
-      "emit\t1.55s\n",
-      "slot\t9.14s\n",
-      "forkchoice\t0.50s\n",
-      "emit_leader_block\t0.36s\n",
+      "leader\t11.20s\n",
+      "emit\t1.72s\n",
+      "slot\t12.92s\n",
+      "forkchoice\t0.28s\n",
+      "emit_leader_block\t0.39s\n",
       "prep\t0.00s\n",
-      "total\t9.21s\n",
-      "Processing block Block(id=5000, slot=108686, height=4852, parent=np.int64(4999), leader=np.int64(974))\n",
-      "Processing block Block(id=10000, slot=219620, height=9710, parent=np.int64(9999), leader=np.int64(854))\n",
-      "Processing block Block(id=15000, slot=329489, height=14563, parent=np.int64(14999), leader=np.int64(163))\n",
+      "total\t13.03s\n",
+      "Processing block Block(id=5000, slot=196522, height=4914, parent=np.int64(4999), leader=np.int64(641))\n",
+      "Processing block Block(id=10000, slot=383562, height=9832, parent=np.int64(9999), leader=np.int64(526))\n",
+      "Processing block Block(id=15000, slot=577797, height=14739, parent=np.int64(14999), leader=np.int64(289))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.43s\n",
-      "nearest_honest\t0.00s\n",
-      "reorg_events\t3.18s\n",
-      "reorg_depth\t0.15s\n",
-      "depth_append\t0.01s\n",
-      "Processing block Block(id=5000, slot=104636, height=4863, parent=np.int64(4999), leader=np.int64(770))\n",
-      "Processing block Block(id=10000, slot=212258, height=9734, parent=np.int64(9999), leader=np.int64(721))\n",
-      "Processing block Block(id=15000, slot=320200, height=14579, parent=np.int64(14999), leader=np.int64(744))\n",
+      "prep_analysis\t0.99s\n",
+      "nearest_honest\t0.01s\n",
+      "reorg_events\t5.51s\n",
+      "reorg_depth\t0.60s\n",
+      "depth_append\t0.44s\n",
+      "Processing block Block(id=5000, slot=190152, height=4908, parent=np.int64(4999), leader=np.int64(616))\n",
+      "Processing block Block(id=10000, slot=383390, height=9810, parent=np.int64(9999), leader=np.int64(395))\n",
+      "Processing block Block(id=15000, slot=579086, height=14731, parent=np.int64(14999), leader=np.int64(465))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.44s\n",
-      "nearest_honest\t0.00s\n",
-      "reorg_events\t3.30s\n",
-      "reorg_depth\t0.15s\n",
-      "depth_append\t0.01s\n",
-      "Processing block Block(id=5000, slot=107127, height=4872, parent=np.int64(4999), leader=np.int64(813))\n",
-      "Processing block Block(id=10000, slot=215017, height=9730, parent=np.int64(9999), leader=np.int64(905))\n",
-      "Processing block Block(id=15000, slot=323288, height=14584, parent=np.int64(14999), leader=np.int64(993))\n",
+      "prep_analysis\t0.88s\n",
+      "nearest_honest\t0.01s\n",
+      "reorg_events\t5.92s\n",
+      "reorg_depth\t0.71s\n",
+      "depth_append\t0.65s\n",
+      "Processing block Block(id=5000, slot=189522, height=4924, parent=np.int64(4999), leader=np.int64(8))\n",
+      "Processing block Block(id=10000, slot=378916, height=9838, parent=np.int64(9999), leader=np.int64(478))\n",
+      "Processing block Block(id=15000, slot=569140, height=14742, parent=np.int64(14999), leader=np.int64(599))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.41s\n",
-      "nearest_honest\t0.00s\n",
-      "reorg_events\t3.26s\n",
-      "reorg_depth\t0.15s\n",
-      "depth_append\t0.01s\n",
-      "Processing block Block(id=5000, slot=107410, height=4835, parent=np.int64(4999), leader=np.int64(828))\n",
-      "Processing block Block(id=10000, slot=215528, height=9696, parent=np.int64(9999), leader=np.int64(407))\n",
-      "Processing block Block(id=15000, slot=323606, height=14542, parent=np.int64(14999), leader=np.int64(748))\n",
+      "prep_analysis\t0.88s\n",
+      "nearest_honest\t0.01s\n",
+      "reorg_events\t5.65s\n",
+      "reorg_depth\t0.55s\n",
+      "depth_append\t0.30s\n",
+      "Processing block Block(id=5000, slot=188484, height=4922, parent=np.int64(4999), leader=np.int64(774))\n",
+      "Processing block Block(id=10000, slot=381539, height=9826, parent=np.int64(9999), leader=np.int64(216))\n",
+      "Processing block Block(id=15000, slot=572719, height=14758, parent=np.int64(14999), leader=np.int64(263))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.42s\n",
+      "prep_analysis\t0.93s\n",
       "nearest_honest\t0.00s\n",
-      "reorg_events\t3.32s\n",
-      "reorg_depth\t0.15s\n",
-      "depth_append\t0.01s\n",
-      "Processing block Block(id=5000, slot=106724, height=4819, parent=np.int64(4999), leader=np.int64(951))\n",
-      "Processing block Block(id=10000, slot=216170, height=9688, parent=np.int64(9999), leader=np.int64(210))\n",
-      "Processing block Block(id=15000, slot=326646, height=14538, parent=np.int64(14999), leader=np.int64(619))\n",
+      "reorg_events\t5.36s\n",
+      "reorg_depth\t0.60s\n",
+      "depth_append\t0.43s\n",
+      "Processing block Block(id=5000, slot=192729, height=4922, parent=np.int64(4999), leader=np.int64(300))\n",
+      "Processing block Block(id=10000, slot=386016, height=9850, parent=np.int64(9999), leader=np.int64(595))\n",
+      "Processing block Block(id=15000, slot=579762, height=14770, parent=np.int64(14999), leader=np.int64(256))\n",
       "honest_chain\t0.00s\n",
       "honest_height_by_slot\t0.00s\n",
-      "prep_analysis\t0.42s\n",
+      "prep_analysis\t0.88s\n",
       "nearest_honest\t0.00s\n",
-      "reorg_events\t3.23s\n",
-      "reorg_depth\t0.15s\n",
-      "depth_append\t0.01s\n",
-      "CPU times: user 2min 22s, sys: 20.7 s, total: 2min 42s\n",
-      "Wall time: 2min 45s\n"
+      "reorg_events\t5.38s\n",
+      "reorg_depth\t0.60s\n",
+      "depth_append\t0.49s\n",
+      "CPU times: user 4min 35s, sys: 1min 31s, total: 6min 6s\n",
+      "Wall time: 6min 51s\n"
      ]
     }
    ],
    "source": [
     "%%time\n",
     "PATHS = 5\n",
-    "target_block_num = 20000\n",
+    "target_block_num = 30000\n",
     "np.random.seed(0)\n",
     "stake = np.random.pareto(10, 1000)\n",
     "network = blend_net\n",
     "sim_params = Params(\n",
     "    SLOTS=0,\n",
     "    f=0.05,\n",
-    "    adversary_control = 0.10,\n",
+    "    adversary_control = 0.49,\n",
     "    honest_stake = stake\n",
     ")\n",
     "np.random.seed(1)\n",
@@ -1176,7 +1086,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "id": "87c8d0b8-c8d2-4c49-a9c4-2eaefd41c254",
    "metadata": {},
    "outputs": [
@@ -1193,7 +1103,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1240,65 +1150,137 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "af11b126-33b6-4b62-868e-b11a0090aa69",
+   "cell_type": "markdown",
+   "id": "f4441306-0bd1-4cc4-914e-4c31dd5270a2",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "[(s.params.SLOTS, 1 / s.params.f, s.params.f, s.params.f * s.params.adversary_control) for s in sims]"
+    "# 30s Block Times Network Sensitivity Analysis"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "23a226b5-b624-4ae9-86bd-2d7201bbb365",
+   "execution_count": 18,
+   "id": "ec1c7f73-5752-4fb2-bd3e-ed7eb4c9156d",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# _ = plt.plot([s.network.mixnet_delay_mean for s in sims], [len(s.honest_chain()) / s.params.SLOTS for s in sims])\n",
-    "_ = plt.scatter([1 / s.params.f for s in sims + cardano_sims], [len(s.honest_chain()) / s.params.SLOTS for s in sims + cardano_sims])\n",
+    "block_time = 30\n",
     "\n",
-    "_ = plt.title(\"chain growth vs. block time multiple of network delay\")\n",
-    "_ = plt.ylabel(\"chain growth / slot\")\n",
-    "_ = plt.xlabel(\"block time\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "317dd511-6fda-44c3-88ff-622460b36665",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# _ = plt.plot([(1 / s.params.f) / s.network.mixnet_delay_mean for s in sims], [len(s.honest_chain()) / s.params.SLOTS for s in sims])\n",
-    "_ = plt.scatter([s.params.f for s in sims + cardano_sims], [len(s.honest_chain()) / len(s.blocks) for s in sims + cardano_sims])\n",
+    "nomos_params = Params(\n",
+    "    SLOTS=3 * 2160 * block_time,\n",
+    "    f=1/block_time,\n",
+    "    adversary_control = 0.3,\n",
+    "    honest_stake = np.random.pareto(10, 1000)\n",
+    ")\n",
+    "nomos_net = NetworkParams(\n",
+    "    broadcast_delay_mean=0.5,\n",
+    "    pol_proof_time=1,\n",
+    "    blending_delay=3,\n",
+    "    desimenation_delay_mean=0.5,\n",
+    "    blend_hops=3,\n",
+    ")\n",
     "\n",
-    "_ = plt.title(\"block efficiency\")\n",
-    "_ = plt.ylabel(\"% of blocks member of honest chain\")\n",
-    "_ = plt.xlabel(\"f\")"
+    "cardano_params = replace(nomos_params, f=1/20, SLOTS=10 * 2160 * 20)\n",
+    "cardano_net = replace(nomos_net, blend_hops=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "2ceb907e-c1b6-4867-81b0-e5d38ee6c50a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "leader\t8.54s\n",
+      "emit\t1.51s\n",
+      "slot\t10.05s\n",
+      "forkchoice\t0.31s\n",
+      "emit_leader_block\t0.42s\n",
+      "prep\t0.00s\n",
+      "total\t10.14s\n",
+      "Processing block Block(id=5000, slot=142190, height=4884, parent=np.int64(4999), leader=np.int64(162))\n",
+      "Processing block Block(id=10000, slot=281660, height=9781, parent=np.int64(9999), leader=np.int64(896))\n",
+      "Processing block Block(id=15000, slot=422412, height=14683, parent=np.int64(14999), leader=np.int64(629))\n",
+      "honest_chain\t0.00s\n",
+      "honest_height_by_slot\t0.00s\n",
+      "prep_analysis\t0.43s\n",
+      "nearest_honest\t0.01s\n",
+      "reorg_events\t4.62s\n",
+      "reorg_depth\t0.22s\n",
+      "depth_append\t0.02s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(array([28.,  3.,  2.,  1.,  1.,  1.,  0.,  1.,  0.,  1.]),\n",
+       " array([5.0000e+00, 8.3640e+02, 1.6678e+03, 2.4992e+03, 3.3306e+03,\n",
+       "        4.1620e+03, 4.9934e+03, 5.8248e+03, 6.6562e+03, 7.4876e+03,\n",
+       "        8.3190e+03]),\n",
+       " <BarContainer object of 10 artists>)"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cardano_params = replace(nomos_params, f=1/20, SLOTS=10 * 2160 * 20)\n",
+    "cardano_net = replace(nomos_net, blend_hops=0)\n",
+    "\n",
+    "cardano_sim = Sim(\n",
+    "    params=cardano_params,\n",
+    "    network=cardano_net\n",
+    ")\n",
+    "cardano_sim.run(seed=0)\n",
+    "\n",
+    "cardano_reorgs = cardano_sim.adverserial_analysis()\n",
+    "\n",
+    "plt.hist(np.bincount(cardano_reorgs))\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "1a68a180-9800-4cd1-9d07-9aaa20162cac",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'test_params' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "File \u001b[0;32m<timed eval>:1\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'test_params' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "test_params(nomos_params, nomos_net)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "45a7325a-4b98-4967-b5d9-436a6838fded",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "71eab297-4b96-4229-ab82-a9f1d8d23854",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "20f0b7c2-b985-42a2-bf57-77b55228b9ad",
+   "id": "fdc9ae28-5c4f-4ffd-a090-ae7a7225ec4c",
    "metadata": {},
    "outputs": [],
    "source": []