tests/test_book.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PSMILES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install 'psmiles[polyBERT,mordred]@git+https://github.com/Ramprasad-Group/psmiles.git'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CC(c1ccccc1)[*]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f230c5bcd00>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from psmiles import PolymerSmiles as PS\n",
    "ps = PS('[*]CC(c1ccccc1)[*]' )\n",
    "ps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CC([*])c1ccccc1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f223dcd6b20>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Canonicalize the PSMILES string.\n",
    "ps.canonicalize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the figure to disk. Default name to PSMILES string.\n",
    "ps.canonicalize.savefig()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C(c1ccccc1)(C[*])[*]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f223dcd6e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C(C(c1ccccc1)[*])[*]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f223dcd6e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]C(C[*])c1ccccc1\n"
     ]
    },
    {
     "data": {
      "image/png": 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YRgH+O31n79696mNzoungwYMazwEf4IzyvsemTZvS0tLw/BjUA0qkVMpkMg6HAwDXr19XbyU2fDp16pTug+m/mpoaJpNJpVKLi4vJzqIF58+fp1AodDo9IyOD7CzIYOBoFACARqMtW7YMOhhVEUc/GtOAS4sGDx48b94847jvUVpaGhMTo8TzY1AP4SOm/3jx4gWbzVYqlaWlpSp7oInFYicnp/r6+tzc3NGjR5OVUG/dvn07MDBwyJAhfD7fcPdyxvNjUK/haPQ/7O3tZ8+eLZPJEhISVJosLS0jIyMBAOdgazRx4sTx48dXV1enpKSQnaX3Pvroo5ycHE9Pz2PHjmENRT1D7j0FvZKeng4ADg4OEolEpSkvL49CoVhZWdXX15OSTc8Rm+ZNmjSJ7CC9RNyRYDKZOTk5ZGdBhgdHo/8zderUUaNGPX/+/Pz58ypNPj4+gYGBDQ0Np06dIiWbPqiqqoqJiampqVFvWrx4sY2NTWZmZm5uru6D9RGeH4P6CE8GfYVMJrty5UptbW10dLRKE5PJTElJ4fP5q1atIiUbueRy+Zw5c/7973/z+Xz1TQVNTEwePnyYn59/9OjRc+fOXb9+PTs7u7i4WCgUAgCLxdLby+S6urrQ0NCqqqpVq1Z9/vnnZMdBBgkfMb1CJBI5OTk1NTU9efLEy8urfZNEImGz2ZWVlbdv3w4ICCArIVk2b968c+fOYcOG5eTkODo6qrSKRKJx48ZVVFQQGw+qYDKZjo6O7q/y9vY2NzfXSfYOKfH8GKQNOLv4FTY2NosWLUpISNi/f/+//vWv9k0mJibvvfdebGxsfHz8QCujFy9ejI2NpdFox48fV6+hSqVy6dKlpaWlY8eOPXXqlEAgKG6nqKiorq6O+FrlG21tbd010dXHgtjYWDw/BvUdjkZVPXjw4PXXX2exWBUVFSrDJR6P5+7uTqfTeTyeUe5ppFFZWZmvr+/Lly937dr1t7/9Tb3Drl27NmzYYGtre//+fY1FUCgUFqvh8XgymUy9c/uhq4+Pz6hRo9zd3dlsttYXFP36669hYWEKheLChQu4gxfqCyyjGvj7+9+5c+fw4cPElprthYeHX7x48euvv16/fj0p2XSspaUlKCgoOzv77bffTk1NVb/FefPmzWnTpsnl8pSUlNmzZ3f/laVSKZ/PV6mthYWFIpFIvTOdTmez2SqDVg8PDxaL1bvP9eLFi/Hjxz9//nzLli3btm3r3YsgRMAyqsGxY8eWLFkyYcKEu3fvqjRdvHgxPDzc3d392bNnVKrxz3NYvnx5QkLC8OHD7927p16zKisrx48fLxAINm/evH37dq28o8aha1lZmVwuV++s8bYAh8PpfLspmUwWEhKSmZkZEhJy7do1Y9qbCpECy6gGzc3NLi4uL1++VN/LWaFQDB8+vKSk5PLlyzNnziQroW6cOHEiMjKSyWTeunVr/PjxKq0ymSw0NDQjI2Pq1KlpaWn9WowkEkl5eblKbX327Fl9fb16ZwaD4eLiolJbhw8fbmNjQ3RYt27dt99+6+zsnJOTM2TIkP6LjQYKEues6rNPPvkEAJYtW6beRGxA+de//lX3qXTp0aNHxK3hw4cPa+xA/Ijs7e0FAoGOs7V5/vz5rVu3EhMTt27dGh0dHRQUpP4ErM3QoUP9/f0nT55MoVBMTExu375NVmxkZHA0qlnnezk7OzvLZLKioiJiXyjj09DQ4Ofn9+effy5fvvzAgQPqHX7++efZs2fT6fT09PSgoCDdJ+yExqFrQUGBWCwmOgwbNozL5e7bt4/cnMh4kF3H9VdYWBgAfPfdd+pNxEF4n3/+ue5T6YBCoZg7dy4AvPbaa01NTeodnj17Rlwga/zh6CeFQlFeXp6RkbFgwQIAmDVrFtmJkPHAMtqhc+fOAYCnp6dCoVBpyszMBAB7e/vW1lZSsvWrXbt2AQCLxSoqKlJvbW5uJlZMzp49W/0no/9qa2vNzc0pFMqzZ8/IzoKMBJbRDrXt5fzLL7+ot44ZMwYAkpKSdB+sX924cYNOp1MolJSUFI0dlixZAgAjRowQiUQ6zqYtxErfzz77jOwgyEhgGe3M3//+dwCYN2+eetPevXsBIDg4WPep+s+LFy+IRzSbNm3S2IHYycnCwuLx48c6zqZFWVlZAGBnZ9fc3Ex2FmQMsIx25vnz5wwGg06nl5eXqzQ1NDRYW1sDQG5uLinZtE4qlU6ePBkApk6dKpPJ1Ds8ePCAWDF57Ngx3cfTLl9fXwA4fvw42UGQMTD+CeR9YW9vHxERIZPJDh06pNJkaWlJPGjS+CDbEG3cuDEjI4M4yk19EqhQKORyuc3NzR999JH69lcGZ+XKlYAHwyBtIbuO67tffvkFABwdHdX3cn78+DEA2NjYiMViUrJpEbHQs6Oj3BQKRUREBAD4+fm1tLToPp7WNTY22traAgDu04z6DkejXQgJCRk1apRAILhw4YJK06hRowIDA0Ui0cmTJ0nJpi2FhYXR0dFKpfKbb77ReJTbjh07UlNTBw0alJSUZLinLbVnbm5OHAxjNBcTiExk13ED8N133wHA9OnT1ZuOHz8OAK+99pruU2lL2wSmiIgIjROYfvnlFxqNRqVSL1++rPt4/Sc/P59CoVhaWhrulAOkJ7CMdq2urs7CwoJCoRQUFKg0tba2EjvmZWVlkZKt7zqfwMTn84lV51u3btV9tv4WHBwMAHv37iU7CDJseFHfNRsbm4ULFyqVSvWTQYm9nMFgH1bs37//6NGjFhYWKSkpxMSD9qRS6aJFi6qrq0NDQ43ygI0PPvgA/ltGyc6CDBnZddww/PHHHwDAYrEaGxtVmkpLS2k0mqmpaVVVFSnZeq3LCUyrV68GABcXl+rqah1n0w2JRELMk83MzCQ7CzJgOBrtlnHjxvn5+dXV1SUnJ6s0cTicGTNmtLa2Hjt2jJRsvdPlBKbk5OTvv/+ewWCcPn3azs5O9wl1gMFgLF26FAz2YgLpC7LruME4cuQIAPj5+ak3EQcye3h4yOVy3QfrBYVCQexU39EEpoKCAuIaf9++fbqPp0s8Ho9Go5mYmLx48YLsLMhQYRntrqampsGDBwPAvXv3VJrkcrmbmxsAXL16lZRsPfXll18CwKBBg4qLi9VbxWKxj48PACxatEj32XSPmBL71VdfkR0EGSq8qO8uMzOzmJgYACDWlbdHpVKXL18OBnJtmJ6evnXrViqVeuLECaL6q/jggw/y8/O9vLzUH6kZJeJBU3x8vMZzShDqGtl13JAUFhZSqVQzM7Pa2lqVpqqqKlNTUxqNVlpaSkq2bupyAlNcXBwAWFpa5ufn6zgbWRQKhaenJwBcuHCB7CzIIOFotAc8PDxCQ0Obm5t//PFHlaYhQ4ZwuVy5XK6++l5/dDmB6e7du59++ikAHD582NvbW+cByUGhUAzoYgLpI7LruIFJSUkBgJEjR6ov+MnIyAAAe3t79dX3emLNmjXQ8QSmly9furq6AsDatWt1n41cNTU1TCaTSqVqvFmMUOewjPaMVCp1dnYGgPT0dPVWYi/n5ORk3QfrUlJSEgAwGIxbt26pt8rl8hkzZgCAv7+/UW7p36WoqCgA2LBhA9lBkOHBi/qeodPp77//PnRwAUhsv3b48GFdx+rK06dPievW3bt3T5w4Ub3D1q1br169OnTo0DNnzpiYmOg8IPk+/PDDsLCwrKwsiURCdhZkaMiu44ZHIBB0tJezSCTavXu3UCgkJVhH2iYwEUta1RGnzFOp1GvXruk4m14JCwtzcHDo6PQUhDqCo9Eec3BwIPZyVh91Wltbr1mzhsVikRKsI20TmDRuCsfj8RYtWiSXy7dv3z59+nTdx9MfxHW9Ya1GQ3qB7DpukDrZy1nfdD6BqaWlZcKECQAQHh5uiMd8apdYLPby8nJwcBg4k72QVuBotDdCQkJ8fHwEAsHFixfJztKZLicwffzxx/fu3eNwOEePHqVQKDoPqF8sLCzmzp0LAImJiWRnQYYEy2gv6f9Mw9ra2gULFkgkkrVr177zzjvqHU6dOrV//34mk3n27FlinStasmQJhUL56aefGhoayM6CDAfZw2FDJRQKiSfaevtYhth8JDAwUOOdh9zcXAsLCwBISEjQfTZ9xuVyHRwcjOD0U6QzOBrtJRaLRUxW37hxI9lZNNu+ffvkyZOTkpIYDIZKk1gsnj9/fmNjY2Rk5LJly0iJp7eInROIDb0Q6g6KEvf97q3ExERip04qlWplZRUWFubejqurK5Wqj7+llErl/Pnzz5w5M3bs2KysLHNzc7IT6RepVOrn51dZWZmamko8f0Ooc1hG+yQqKoo41U6dubm5h4eH+6vc3NxIP1nzn//856effmplZXXv3j0vLy9yw+in2NjYuLg4Lpe7Z88esrMgA4BltK/kcnleXl5BQQEAFL9KY39bW1t3NW5ubrp5UJ6VlRUcHCyVSs+cOcPlcnXwjoaooqLC39+fSqVmZ2cb687/SIuwjPaXlpYWgUCgUljz8/Obm5vVOzOZTEdHR5Xa6u3trd0r7srKSl9f34qKis8++yw2NlaLr2x8YmJi0tLSNm/e/NFHH5GdBek7LKO6JhQK8/Ly8vPz22prUVFRXV2dxs4ah67u7u69eF+5XP7mm2+mpaVNmTLl+vXrdDq9b5/DyKWnp0dGRjo7O2dlZdFoNLLjIL2GZVQvCIXCYjU8Hk8mk6l3Vh+6+vj4eHl5dV4ZIyMjT5w4MWzYsJycHOI4TNQJpVIZFBRUUlJy/PjxkJAQsuMgvYZlVH9JpVI+n69SWwsLC0UikXpnOp3OZrNVBq0eHh7EAv8tW7Zs376dQqHcuHFj8uTJOv8oBmnfvn3EPgO4yh51Dsuo4amurm67G9BWXisqKhQKhXpnCoViZmbW3NysVCrDw8OJQ0xRd9TW1vr6+kql0qysLBc6HfLzoaQE6upAKgUGA1gscHMDHx9wcCA7KSIZllEjIZFIysvLVYauT548aWpqIjpwOJzi4mL9nMqqt1avXn327Nk1QUEbXn8dZDJQ+UVFpQKdDiwWzJoFHA5JGRH5sIwaudzc3Nu3b5uZmS1evBgflfSMQnH/++//umvXYDOz7MWLTTr56TEYMGYMvPUW4G+pAQnLKEKayOWQmAgCQdjp049rauKnTYvw8OisP4MBjo4QFQX4u2rgwV+eCGly9iwIBCCVRnp7A8CxvLwu+kulUFEBZ8/qIhvSM1hGEVLz6BEUFoJUCgDc4cOtTEx+f/78qVDYxXfJZFBUBI8e6SIh0ic4BxuhV8lkcOUKUUMBwNLEZIu/v5Ol5fDunA0jkcCVK+DjA7i6YSDBv2yEXvX4Mcjl7f8gUtPBAR2Sy+HxYxg3TsupkB7Di3qEXpWTAx2fsXy/snJmSsrdFy86/HaJBHJy+iUY0ldYRhFqR6kEgUBji1ShAAArBuNRdfVQMzMAUHQ0y0UgAJwAM5BgGUWonfp6jXM/pQqF34kTO+7csTE1NaHRWExmQm7utDNnZJpWjgGVCvX1/R4V6Q28N4pQO83NQKO1PV9qI2ptDWWzb/D5SQUFVAolODnZxcpqgr29qLV1sJmZ6otQqdDcDDY2OsqMyIZlFKF2qFSN1+N2Zmb/mDIFADb+9ttvFRXT2OwvAgK6eB00YOBfNkLtWFuDTNbRnc2dd+6k83gpb799uqDgu46eIymVIJOBtXU/hkR6BssoQu0wmWBqCpoOdHlYXX0gN3f9G28MMTdfMWbM/kePBGKxhlegUMDUFJjMfo+K9AauqUfoVamp8PChxgHpM6HQg8WiUihiiUQkkThZWmr4dgoFXnsNIiL6PSfSGzgaRehVfn4drUHytLWlUigAYGliormGAgCDAXgs8wCDZRShVzk4gJOTxuv6rlEo4OgIeEbLAINlFCE1ERHAYPTmGxkMvJwfgLCMIqSGxQIut8fbi9DpwOVCd3YwQcYFyyhCmnh5wZw5PRiTMhgwZw54efVnJqSn8Ek9Qh2rrITkZK+wXKIAAADGSURBVBCLO9msBExMwNIS3nkH7O11mAzpESyjCHVKqYTHjyEzE4RCoNFAJgO5HGg0oNNBLgdbW5g0CUaP7uUjKWQUsIwi1D1iMVRUgFD4nzJqawtOTtDRtCc0kGAZRQihPsFHTAgh1CdYRhFCqE+wjCKEUJ9gGUUIoT7BMooQQn2CZRQhhPoEyyhCCPUJllGEEOoTLKMIIdQnWEYRQqhPsIwihFCfYBlFCKE+wTKKEEJ9gmUUIYT6BMsoQgj1CZZRhBDqk/8Hin82zq5l9XQAAADpelRYdHJka2l0UEtMIHJka2l0IDIwMjIuMDkuMwAAeJx7v2/tPQYg4GWAAEYg5oLiBkYGFQ2woA5IWIuNIQFIMTNCaCYmNFkHEI+Zhc0hA0QDlRHB4AZayMjEwMTMwMjCwMKawcTKlsDGnsHEzpHAwZnBxMmSIMLIxsLJwc7GKt4EdR4YcMUv+W3v6HRrP4iTM3mT/d+Li/aB2G3PhR02boqzB7Ev8hY73N2kDWbPmbR7b6Tn570g9ukvDftznZaD9W5YIH+g+VAvmK2l6XLgu06/HYgd2c15QPTmbrBe6yma+3UiF4HZYgDNuDc8pyiVfAAAAUZ6VFh0TU9MIHJka2l0IDIwMjIuMDkuMwAAeJx9ksFuwyAMhu95Cr/AkA3Gxocd2qaapq2p1HV9h973/prdKiPVsgGODHzY8DsDRDuNb9cv+Gl5HAYA/GeYGVwKIg4HCAe2+5fXCXbnzXZe2R0/p/MHEMa49Ud2cz4e5hWCE1AyqVYZnigpVmIFTHhrfviyeX+mGc+wc7xYpew4pkINsS3wGSwOZt8mRPHtJmbEKxx7/pLUVCnCiKJY+zN99aieFY1qa+ERNbW8EleCJF9WVgyvoCjVFVKDzImNqZUgyc+4yL/JFmRJKBUpcmY1YVwB7R6S2CgkTixaZe2WXp/bg0SyZ3cySyssK+R+Gh/qdq/k9jiNvZLRc6+UT6D0epAbd9ljt3Zd2U26eOymXSF2a10GdrP+WHaj5Zs4PnV59eVFYz7/ru4P3+N3ki0RhoKaAAAAw3pUWHRTTUlMRVMgcmRraXQgMjAyMi4wOS4zAAB4nFWNu24CQQxFfyUlrIzlOzN+sSUtBb9ASLqsiBApIu3HM7Md7nzuufZ0Ou2m/Q23MfhYd5U93QsJm4tl0Fy4AoJOwjLRaAbXVBQ6SI9CJAZK01Q6gF0USnMPJaERmweEZ+kULOLNh1jFHB0VbtkQA0F8VCuL6fayeFrbHLREJXAzV9vOm5VRAxeLqrSn6/O+XB7336Pw19+y/J+vn98/PB3r27q+ALBiN1s9JsvlAAAAAElFTkSuQmCC",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f223dcd6e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Randomize the PSMILES string (chemistry is preserved)\n",
    "_ = [display(ps.randomize) for _ in range(3)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CC([*])c1ccccc1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f230de62be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CC([*])c1ccccc1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f230c611d90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CC([*])c1ccccc1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f230c6116d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# First randomize then canonicalize the PSMILES strings. The PSMILES strings are the same.\n",
    "pss = [ps.randomize.canonicalize for _ in range(3)]\n",
    "[display(_ps) for _ps in pss]\n",
    "assert len(set([str(_ps) for _ps in pss])) == 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]C(CCC([*])c1ccccc1)c1ccccc1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f223dcd6be0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the dimer from the monomer. \n",
    "# Connect to first star\n",
    "ps.dimer(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CC(CC([*])c1ccccc1)c1ccccc1\n"
     ]
    },
    {
     "data": {
      "image/png": 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mzQFg3759pMVkMpHjSLZv304rqrqRW6Hat29vMplox3KPDz/8EABiY2NdpWteDitEPQfTqKeMHz8eAAYMGOA9FaIffPABGRG7QlqxYgUAxMTEeG0ucM0sp6Sk0I7lLrVa3aRJEwD4+eefacdSX+Xl5Vgh6iGYRj3F2ypEVSoV+eS7viDrdDpyyPSBAwfYj6f+vGdm2SUlJQUABg4cSDuQh4MVoh6CadSDvKpCdMGCBQDw7LPPulrS0tIAoFevXixH8gi8ZGaZuHPnjlQqBYBTp07RjuXhuCpEZ82aRTuWRgXTqGd5SYXo7du3ySc/MzOTtFRWVpKEfvToUdbCeGTeMLPsMnfuXABISEigHcijwApRT8A06lleUiE6Z84cABg+fLirJTk5GQAGDRrEWgwNRH1mmSgvLxeJRBwOx3tmGB4WVoi6HaZRj6NeIVpWViYSibhc7sWLF0nLzZs3xWIxh8M5c+YMCwG4izecPUi2so8bN45iDA2EFaJuh2nU46hXiE6ZMgUAqtenk6nGkSNHerpr96J+9uDVq1cFAgGPx8vPz6cSgLu4KkSzsrJox9IYYBplA8UK0StXrvD5fB6PV1BQQFqKi4uFQiGPx/PFImtSyUrr7EGyic3bzut6NBMnTgQAqVTqhWUXPgfTKEtoVYiOGzcOAKZOnepqeeWVVwBg0qRJnuvUcyiePZibm8vlcgUCgZdfDHM/Nf7VLC4uJjcw4zbShsM0yhIqFaI5OTlcLpdhmNLSUtJy+fJlPp8fEBDgKq/yObTOHiRVQLNnz2azU3e5fv06wzDVrwvMyckhVzH+9NNPdGNrBDCNsof9CtHRo0cDwBtvvFGjxdcvlmD57EGLxfLzzz9zOByJRHLz5k0WenS7qVOn1lgZe/311wEgLCyMYlSNBsfpdAJiy4QJE7Zu3TpgwID09HQOhwMAP/3005AhQyQSSU5ODjl1zY3u3LmzbNmyt956i1Qr5eTkdOnSRSAQFBYWklJ6H2Wz2WJjYy9evJiSkkIqXOtgMplUKpXZbK71wf3aXQ8qKystFgsACASCyZMnr1+/3hXDJ598IhQKST7yZkVFRREREQ6HIzc3lxwyXVpaSk5KPH/+PLkHATUI7TzuX2qtEB09evSrr776559/err3IUOGAEBSUpKnO2JBZmYml8vl8/mjRo0aO3bs8OHDn3nmmbi4uC5durRt27Z58+ZBQUHu+ozw+XyxWAwAvXr1ch0+cPz4cQAQi8VKpZLur+KBXnrpJQCYMmWKq+W1114DgAkTJlCMqjHB0SjbNm3aNHny5KZNm166dIkMEu12O4/H83S/WVlZcXFxEolEqVSSfn1dTExMRUVFaWlp3U9jGCY4OFgkElV/UOOPdTxo0qQJwzAajSYiIuLGjRsbNmwgG8gAYOLEid9++218fDz5yu/5d/wocnNzO3fuzOfzCwoKyNedwsLCiIgIDoeTn59PjppFDUU7j/uj/60QZUF8fDwApKamstmp51y7do1s4Vy0aNG2bdt27Nhx5MiRU6dOnT9/XqlU3rhxw+07or777jsACAoKKi8vJy0VFRXkHyRvO/G6uhdeeAEA5syZ42oZO3YsAEyfPp1iVI0MjkYpKC4ujoqKMhgMhw4deu6559zymjabTafT6fV6s9ms1WqNRqPZbFar1WT6Lysra+PGjcHBwUqlkuxg93Uvv/zy5s2bX3nlla+++oq1Tl944YU9e/aMHj36+++/Jy1btmyZNGlS9e8WXuXs2bPdunUjMw/kqFnX/PiVK1fI8iZqOEyjdCxbtmz+/PkMwxQXFzdv3vyhFj3u96DuHkNCQjp27Eh2C/i6y5cvR0VFcTicgoICso2MHaWlpVFRUTqdbteuXWSUBwDPP//84cOHJ0yYsGXLFtYiqafnnnvuyJEjCxYsWLx4MWlJSEjYu3fvvHnzVq5cSTe2xgTTKB1Wq1Uul5tMJne9II/Hk8lkYrGYYRi5XO6a4CPzgHq9/rvvvuPz+efPn4+MjHRXp7S8+OKLO3bsSExM/Oyzz1ju+tNPP50zZ06LFi0uXbpEVrFKSkoiIyMNBsPevXuHDh3Kcjx1OHHiRN++fYOCgq5evUqOmv3tt9+6d+/emObHvQSmUWp++OGHGTNmqFQqAHioRY9aF0zkcnndqxyzZs1au3Zt9+7dT506RcpXfNS5c+diY2MZhiksLCQ3tbHJ4XD06dPn1KlTr7/++qeffkoaly9fnpyc3Lp169zc3MDAQJZDup9+/fplZGR88MEH5JBpABg4cOAvv/zy7rvvko23yG3oTs36OaPRyNqdxhqNhuwV/eKLL9jp0UMGDRoEAMnJybQCyM7ODggI4HK5J0+eJC1VVVUxMTHgTZvJ9u3bBwCPPfaYVqslLenp6QAgl8upHEfQuGEa9SPkoyWTya5fv047lkd04sQJAAgKCqqoqKAYBrlKICoqyvWv4MWLFwMCAng8nuv0GYocDsdTTz0FAKtWrXI19ujRAwCWLFlCMbDGCtOofxkxYgQADBkyhHYgj6h///7gBQdlms1mUg70wQcfuBqTkpLg3tNnaCEbCVq0aOEqlt29ezcANGvWzDU4RW6EadS/3Lhxg1wP6bU3KtfhwIED5IuqRqOhHYvz2LFjHA5HKBReunSJtBgMBrKbffny5RQDs9lsHTt2BIAvv/yStDgcDnIqozdcwdIoYRr1O2vXrgWAxx9/3LfmyBwOR7du3eDeI7LoevXVVwGgb9++rgpRUs5U/fQZ9pGNtE8++aRrULxt2zYACAkJwVtDPATTqN+x2+29e/cGgGnTptGO5SFs374dABQKhcFgoB3LX9RqdYsWLQBgw4YNrsYJEyYAQHx8vCu3sslqtZKNtFu3biUtNpuNzD9s3LiR/Xj8BKZRf1RQUECO7Pz5559px1Ivdrs9OjoaANauXUs7lnvUWiFKTp+hUiFKNtJGRUXZ7XbSQm6ibdeuHZ5y7zmYRv3UokWLAKB9+/Ymk4l2LA+2efNmAAgNDWVtf1j9JSQkAMDo0aNdLZs2bQKApk2b3rp1i81IjEYj2Ui7a9cu0mKxWMhxJN999x2bkfgbTKN+ymKxkHIm7z+sxGq1kqWbTZs20Y6lFiUlJVKptHrycjqd5KgElk+iI3fQdu3a1TWf8MknnwBAp06dXINT5AmYRv3X6dOnyeVCubm5tGOpC1kTCw8P99qvpatXryYbjNRqNWm5du2aRCIBgEOHDrETg1qtbtq0KQAcPnyYtOj1enIcyd69e9mJwW9hGvVrM2fOBIDu3bt77WjFZDKR4itv3qFlt9t79uwJAK+//rqrcdmyZQDQunVrnU7HQgypqakA0KdPH1cLOY6kW7duVBa7/AqmUb/m/RWiK1asAICYmBgvzwV1VIi++eabnu79zp07MpkMAI4fP05a1Go1OY7EV1YRfRqmUX/nzRWiOp2OHER04MAB2rE8GMUKUVJAVb04jRxHMnDgQI/2iwhMo8h7K0TT0tIAoFevXrQDqRdaFaI3btwQi8UcDuf8+fOk5c6dO2TV69SpUx7qFFWHaRR5aYWoSqUiB/UfPXqUdiz1VWuFKNkP77kKUTLBXX3H1RtvvAEACQkJHuoR1YBpFDmdXlkhOn/+fAAYNGgQ7UAeDssVohUVFQzD8Hi8/Px80lJeXi4Sibhc7oULF9zeHaoVplHkdHpfhejNmzfJF9UzZ87QjuXh1FohOn78eM9ViObm5lZfIZw6dSoAjBs3zu0dofvBNIr+4lUVoomJiQAwYsQI2oE8ilorRDt37szCnElhYSFZ1HINThELMI2iu7ykQrS4uFgoFHK53N9//51iGA3xvxWi7HjppZcAYMqUKSz36+cwjaK7vKRC9JVXXgGAiRMnUoyhgWqtEPW03bt3czgcgUBw9epV1jpFTrynHtVw5syZnj17UrxD9MqVK5GRkRwOJz8/n5TS+yjXHaJ5eXlkI0RD2Gw2nU6n1+vNZrNWqzUYDBaLRa1Wkxu5VSrV8ePHjx49ajab+/bte/z4cbe8BVRPmEZRTXTvEB0zZgy5M5VsHvBdDoejR48eWVlZ0dHRBw8edDgcFouFZD2TyaRSqR72QX065fP5Fy5ciIqK8vS7Q9VhGkU1abXayMjIsrKyL774YtasWWx2nZOT06VLF4FAUFhYSKpUfdrOnTtHjhzplpfi8XgymUwikQiFQrlc7rphm1yvHRQURHaqrlq1qn379m7pEdUfplFUi/379w8dOlQmk+Xl5bGZzoYNG7Zv376kpCRSSt8IzJ49e/369VVVVQqFIjAwUCqVSiQShmGCgoLEYjHDMK6cKJfLGYYRi8VBQUEMw0gkEqlUyjCMVCoNDAwMCAig/VbQfWEaRbUbOXLkzp07hwwZQoruWbBx48YpU6aIRKLi4mJSSo+QT8A0imp38+bNiIgItVq9ffv2en4zdTgcGo3GaDRaLBbXvJ5arbZYLAaDQavVms1mvV5ffZ3EbDZrNBqTyXT9+nWdTgcAffr0ycjI8PCbQ8idMI2i+1q3bt3MmTObNm2amJjI4XBITjSbzUaj0ZUTdTqdxWIhOdFqtTawx9DQ0IyMjFatWrklfoTYgWkU3ZfD4SDHapSUlNTzR1yLHq6ZPplMxjAMmRYUCoVknYRMDlZfJzEajcHBwa1bt8ZJQORz+LQDQN5LqVSScsapU6cqFIoaOZGsflRfMBEKhbRDRogCTKPovt577z2bzTZt2rT169fTjgUh74Vf6lHtcnNzO3fuLBAIrly5gpOVCNWB7RoV5CtSUlIcDseMGTMwhyJUNxyNolr89ttv3bt3F4vFSqWSXNKLELofHI2iWrzzzjtOp/ONN97AHIrQA+FoFNWUkZHRr18/uVyuVCrJJb0IoTrgaBTV9PbbbwNAcnIy5lCE6gNHo+ge+/btGzZsWLNmzZRKJTl4GCFUNxyNorucTmdqaioApKSkYA5FqJ5wNIru+v7778eOHfvEE08UFhaKRCLa4SDkG3A0iv5it9vT0tIAYNGiRZhDEao/TKPoL5s2bcrPz2/Xrt3kyZNpx4KQL8Ev9QgAwGq1dujQ4dq1a9u2bRs3bhztcBDyJTgaRQAA69evv3btWlRU1JgxY2jHgpCPwdEoApPJ1K5du/Ly8t27dyckJNAOByEfg6NRBKtXry4vL4+NjR02bBjtWBDyPTga9XcajaZt27aVlZXp6ekDBw6kHQ5CvgdHo/5u5cqVlZWVffr0wRyK0KPB0ahfq6ioCAsL02q1J0+e7NmzJ+1wEPJJOBr1a0uWLNFqtUOHDsUcitAjw9Go/7px40a7du1MJtO5c+eeeuop2uEg5KvwSjuqKishLw/KysBkApkM2rSBiAhgqxDz/fffNxqNY8aMwRyKUEPgaJQSkwn27AGlEpxOsNn+aiRXtPfoAf36Adez8y3FxcXh4eF2uz0nJ6djx44e7Quhxg1HozRoNLBxIxiNYLff015VBQCQmQmlpTBhAvB4ngth4cKFVqv11VdfxRyKUAPhaJR1djusWQMqFdTxm+fzoVMn8FhBUV5eXufOnXk8XkFBQZs2bTzUC0J+AlfqWZeVBTpdXTkUAGw2yM2FP/7wUAipqal2u3369OmYQxFqOEyjrDt16q8v7/+ls1p/LCqq+TSbDTIzPdH/uXPnfvzxR5FINH/+fE+8PkL+BtMouzQasFiqN/xhMHA5nK9zc51O558m092/cDpBqfRECCkpKU6nc86cOU888YQnXh8hf4NLTOzSaIDHqz4anX30qEwgqHI4Ru7dG6dQJMfG3n2yweD2/tesWXPo0CGZTPbWW2+5/cUR8k+YRtnF4dSYFf1h6NA1v/+usVoXdOv21N/+ds+TH7TnyWg0Wq3WyspKo9FosVhUKpXZbDaZTGq12mw2G41GrVZrNpv1er1Op7NYLFqt9vjx4wAQGxuLlycj5C6YRtnVpEmNTU5nbt48UVb2eXz8qH37Do8cCQBb8vOtdrvaYrHweObkZJIKTSaTXq8nyS09kMkAAAF9SURBVFGv11utVp1OBwAikejq1asPFULTpk23bNnixveEkJ/DDU+s++wzqKys3qC3WgMFAvJfrdXa4euv6/lKIpFIJBKZTCaGYUQikVwuZxhGLBbLZDKGYQIDA6VSKcMwUqlUIpEwDBMUFHTr1q2EhAS8PBkhN8I0yrrsbNi/H6zWWv/S5nCkZWYyfH6QSCTs10/UpIlUKhUKhRKJhKRCiUQiFouFQqFMJmM5cIRQrTCNss7phE2boLwcqqqAw6n9OQIB9O4NffqwGxlC6FHghifWcTgwbhw0awYCQe1PEAggOhp692Y3LITQI8LRKCUOB2RkwKlTwOWC1QpOJ3C5EBAAfD4MHgyRkbTjQwjVF6ZRqqqq4OpVuHkTLBYIDISWLSEk5L7f9BFCXgnTKEIINQjOjSKEUINgGkUIoQbBNIoQQg2CaRQhhBoE0yhCCDUIplGEEGoQTKMIIdQgmEYRQqhBMI0ihFCDYBpFCKEGwTSKEEINgmkUIYQa5P8B+s9Et9DCE4QAAAFhelRYdHJka2l0UEtMIHJka2l0IDIwMjIuMDkuMwAAeJx7v2/tPQYg4GWAAEYgFgJiYSBuYGRQ0QAL6oCEtdgYEoAUExOEZmZE56OpdgDxmFnYHDJANFA5UQwyNHEDXc3IxMDEDNTIwMLKwMLGwMaewcTOkcDBmcHEyZXAxZ3BxMTDwMObwcTLl8DHn8HEL5AgIJjBxM2WIMiTIMLExs7BycXNxsbLxy8gyCP+CBoQYCAUkZVwoHWvyQEQx6SR4cCVmQZg9iaXFfvXfdi2H8Tel2Nj57dyHZg9e1qCffIpnr0g9pzsybbuU+fag9in+SQcfJ1/2IDYojO9HXql5oHVyx6c6qB7eSqY3fVhtUNenbIdiJ2qPckhI3sbWO+yXBcHDpV1YPbiNewH5q5Q3wdiT5i9bf9z36lgcaEbfAcOLpF2ALHNDuYdEGwUB7M5J/QeUN/fAlZzfGr6gQWPM8F6xQBunVtZM6544QAAAeR6VFh0TU9MIHJka2l0IDIwMjIuMDkuMwAAeJx9VEmOGzEMvPcr+AE3WCS1HXLwMgiCZGxg4swf5p7/I2Q3OtIASiRTkOQSRRZLvVC0t9v3j9/0t8ltWYj4P7/WGr0rMy+vFBO6vHz9dqfr83w5dq6PX/fnT0IlND/j/TP2/Hy8HjugNzrpmjhbA51krWKcC/HKW/PT7+cfX3Dgha6BYi615piV1LS2AX8gNZBYFZZajplJE+EJ0hzJK6oxt+1ItmQyAaYNWEuRVunk/6tp0Qkwe1a+W9CqElZRwNn4V07F3cqqnglvztR7nnitjlOPE+LOTuE2oaYJsDnQ1lxaFQ0gCicuEyC8WJT8ag8wroZTlWeZA5vLlEtphYLLhDTLHLIFybmhCQWXbGUWI3SvJNCaH3I2kdWJnUFtL6WJBxdOkbPZrJJIu1Mn3FXhpFpMMEPmQOpalJNp0J+LpGnqUZ6T+e1aNW5nLVynudfdZ/aq+ClPScRFNSP+5X779Az2h3F53G/9YUSXrntfkHZxw826guGWuk7hlrsaY1m63MytdlWZW+vaMTeMErEYgEELFgNkKHqEAx2KazHAhhpaDEhDrWLplRhqYjGgDNxbDKgDxxb3dUgEHJ8aHbkdmYz18Xny+fIHh3Lsxwr9Ea8AAAEOelRYdFNNSUxFUyByZGtpdCAyMDIyLjA5LjMAAHicVZDNTgMxDIRfhWNbeSP/O+4ee+XAK5TCjaoIwQGpD4+9SEhkIyUZzTc7yeF02tU87C906UF/m4f7bpFh6Jqw8JisGLDWDjHmJoWlZEk0hNShVuVkhhUHTUXMlsTVtKUZwTlhwYGiEhwtYlBOdqDBQlQoD6lYaFN9ZrBKhVGlLu0xqh/q8CiqFQo0gtWKKr4wsnTn9pjHhK5ktKWgZ8FdCPX3IkSZ1IXIq8/vTZQbr2B31c1VxVKBh9YqpciIKtaKeHBFL1qUTCkKJXBuHqdp3NnMsx9uD+fP2/Xp4/Z+xPHydb1+P56fX9/G4Wj/jvcfJMtXYTkwQikAAAAASUVORK5CYII=",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f230c5bcd90>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Connect to second star\n",
    "ps.dimer(1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fingerprints for PSMILES strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 0, ..., 0, 0, 0])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# CI fingerprint\n",
    "ps.fingerprint('ci')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ABC': 6.432910715900229,\n",
       " 'ABCGG': 4.50402767268591,\n",
       " 'nAcid': 0,\n",
       " 'nBase': 0,\n",
       " 'SpAbs_A': 10.892446562528253,\n",
       " 'SpMax_A': 0.050820112679968776,\n",
       " 'SpDiam_A': 0.10164022535993666,\n",
       " 'SpAD_A': 10.892446562528253,\n",
       " 'SpMAD_A': 0.03370129909556341,\n",
       " 'LogEE_A': 0.6054038617594406}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Mordred fingerprint\n",
    "# print only the first 10 fingerprints\n",
    "{k:v for k,v in [x for x in ps.fingerprint('mordred').items()][:10]}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 0, 0, 0])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ps.fingerprint('rdkit')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/data/chris/psmiles/.venv/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ 3.50811750e-01,  1.14510253e-01,  3.86458665e-01, -5.47735453e-01,\n",
       "       -1.64251506e+00, -1.20370276e-01,  1.00393105e+00, -3.96532640e-02,\n",
       "       -2.62746289e-02,  4.91384774e-01, -3.88579428e-01, -9.19215083e-02,\n",
       "        6.85911775e-01, -1.63276303e+00, -1.48769546e+00, -8.93422246e-01,\n",
       "       -9.03815329e-01, -1.25334454e+00, -7.01706529e-01, -4.42330152e-01,\n",
       "        9.31518793e-01,  6.43251985e-02,  6.18372321e-01,  3.25154901e-01,\n",
       "       -7.15663731e-01,  8.33098233e-01,  2.78026676e+00,  7.38025233e-02,\n",
       "       -1.15337002e+00, -8.77115428e-02,  4.78095114e-01, -1.24472153e+00,\n",
       "        2.36280441e-01, -7.10530102e-01,  1.38347030e+00,  3.42699736e-01,\n",
       "       -3.61699671e-01,  3.40443514e-02,  1.38261378e-01,  2.92336106e-01,\n",
       "       -1.81008473e-01,  1.50301248e-01,  6.96576476e-01,  1.06370592e+00,\n",
       "        6.04684651e-01,  9.43712354e-01,  1.44894123e+00, -1.37666091e-01,\n",
       "        1.19438040e+00,  1.00399971e-01, -2.21900135e-01,  2.37760633e-01,\n",
       "       -2.06672475e-01, -1.10294497e+00, -3.63108456e-01,  1.34944096e-01,\n",
       "        1.95238903e-01,  8.35387558e-02, -3.37502480e-01, -1.15377031e-01,\n",
       "       -6.03544116e-01,  4.24348265e-01,  1.45427957e-01,  8.64118934e-01,\n",
       "       -5.61250389e-01,  2.09509492e-01,  3.26407701e-01, -1.57273620e-01,\n",
       "       -4.01432157e-01, -1.04728436e+00, -6.25919521e-01,  3.38558018e-01,\n",
       "        5.85085824e-02,  4.61702138e-01, -8.19112897e-01,  3.28361206e-02,\n",
       "       -7.30042934e-01, -8.31400931e-01,  4.13398862e-01, -6.84624612e-01,\n",
       "        4.25009668e-01, -3.76989871e-01, -2.11603135e-01,  1.00897312e+00,\n",
       "       -1.82779908e-01,  4.30001050e-01,  6.97296187e-02,  6.61532521e-01,\n",
       "       -5.59267223e-01,  1.58880323e-01, -1.88777208e+00, -6.66193724e-01,\n",
       "        7.61624515e-01, -1.58746362e-01, -1.12922823e+00,  1.05459496e-01,\n",
       "       -5.18372953e-01,  1.81209850e+00,  6.44074202e-01,  4.70093191e-01,\n",
       "        1.34039909e-01,  5.23565948e-01, -1.60697973e+00,  7.31711268e-01,\n",
       "        1.37366343e+00, -3.63856554e-01,  1.06852067e+00, -8.09462905e-01,\n",
       "       -6.07858658e-01,  1.55150425e+00, -4.91265476e-01, -5.12516260e-01,\n",
       "        7.98771381e-01, -4.15483713e-01, -1.42613038e-01,  1.17606103e+00,\n",
       "       -7.35124707e-01,  1.06797731e+00,  5.42330265e-01,  5.37207782e-01,\n",
       "       -8.39263558e-01,  8.30523968e-01,  3.97972345e-01, -8.71162653e-01,\n",
       "       -6.39319122e-01,  6.99926853e-01, -2.04632580e-01, -3.17941219e-01,\n",
       "        4.13151413e-01,  1.36541367e-01, -4.93754566e-01, -5.15686691e-01,\n",
       "       -5.72410703e-01,  9.07352939e-02, -4.77947801e-01,  5.56339264e-01,\n",
       "       -6.08706623e-02,  4.30759229e-02, -3.95847499e-01,  3.19576621e-01,\n",
       "       -5.78307867e-01,  4.85843837e-01,  4.77634311e-01, -4.63411778e-01,\n",
       "       -4.47399855e-01, -4.15913969e-01,  8.49545971e-02, -9.83820036e-02,\n",
       "       -1.09419391e-01, -1.38794422e+00,  3.49951498e-02, -6.79263830e-01,\n",
       "        1.07445180e+00,  5.14060855e-01, -7.52495304e-02,  2.42910042e-01,\n",
       "       -5.57305396e-01, -1.59038985e+00, -6.81802928e-01, -1.31858945e-01,\n",
       "       -7.13504434e-01, -9.69016925e-03,  9.14467096e-01,  8.62757087e-01,\n",
       "        5.37001133e-01, -5.81229448e-01, -6.82641506e-01,  1.36204600e-01,\n",
       "        6.75288260e-01,  1.29764605e+00,  1.09621525e+00, -1.04269838e+00,\n",
       "        1.03040433e+00,  1.14407241e+00,  6.32674634e-01,  5.79575539e-01,\n",
       "        6.46100938e-02, -1.60845742e-01, -9.20074582e-01, -3.48020084e-02,\n",
       "       -7.61619568e-01,  1.11796701e+00,  1.97792172e-01, -7.91266143e-01,\n",
       "        4.82773818e-02,  6.42610073e-01, -4.63875458e-02,  1.53244123e-01,\n",
       "       -1.50172040e-02,  9.56486225e-01,  3.80663812e-01,  2.78947055e-01,\n",
       "       -6.19048119e-01, -1.02966309e+00,  4.89040643e-01, -7.41743922e-01,\n",
       "        7.87631869e-01,  1.63886383e-01, -6.51974857e-01,  1.26720846e+00,\n",
       "        2.61399120e-01, -3.07711631e-01,  4.20668155e-01, -3.84945214e-01,\n",
       "       -2.44740933e-01, -4.83722806e-01, -4.63076323e-01, -4.27290022e-01,\n",
       "       -5.32928705e-01,  1.16608396e-01, -1.19306731e+00, -9.85970557e-01,\n",
       "        7.00988531e-01, -5.53281128e-01, -8.94458294e-01,  1.19421065e+00,\n",
       "       -1.16607107e-01,  3.86717081e-01,  1.24554552e-01,  1.12436068e+00,\n",
       "        1.62318140e-01,  1.18860036e-01, -9.61659402e-02, -7.21993804e-01,\n",
       "       -7.27565646e-01,  1.01583672e+00,  7.20381737e-01,  7.95477331e-01,\n",
       "        7.79245049e-02, -4.28200603e-01, -1.05450177e+00,  1.80265343e+00,\n",
       "        1.66051999e-01,  2.90361702e-01,  1.22773302e+00,  4.59174603e-01,\n",
       "       -9.37194705e-01, -4.64762926e-01, -4.39996660e-01, -5.40766537e-01,\n",
       "       -5.14986277e-01,  1.14961338e+00, -9.19737399e-01, -2.90018082e-01,\n",
       "        4.99654055e-01,  3.48531932e-01, -8.73302579e-01, -4.81746554e-01,\n",
       "        1.00501657e+00,  5.63149452e-01, -3.67590338e-01, -6.73898170e-03,\n",
       "        2.94750690e-01,  4.95617151e-01, -7.61665523e-01,  5.19276798e-01,\n",
       "       -5.91901660e-01, -5.92061818e-01,  1.21157908e+00, -2.26438940e-01,\n",
       "       -1.42468169e-01, -9.96420443e-01, -2.82002330e-01,  4.78537381e-02,\n",
       "        1.88886344e-01,  2.97061473e-01, -1.67493463e-01, -3.29213530e-01,\n",
       "       -8.48540843e-01, -1.63459444e+00, -1.54162037e+00,  1.41855493e-01,\n",
       "       -2.59898067e-01,  9.36265051e-01, -3.38219047e-01, -4.87744510e-01,\n",
       "        3.12775880e-01,  5.33470631e-01, -4.11794662e-01, -7.72707105e-01,\n",
       "        8.74160230e-01, -3.82796600e-02,  1.77188838e+00,  4.60423738e-01,\n",
       "        6.03411078e-01, -7.69593775e-01, -3.80699672e-02,  7.39785671e-01,\n",
       "       -2.04174995e-01,  6.85776547e-02,  9.52662528e-01,  6.76108971e-02,\n",
       "        1.16563189e+00,  4.08286154e-01,  1.58161274e-03,  3.42474908e-01,\n",
       "        1.61260509e+00, -3.61948967e-01,  4.48088124e-02, -1.48511484e-01,\n",
       "        6.51339233e-01, -4.10830528e-01,  4.96162295e-01, -5.33416092e-01,\n",
       "        7.37717032e-01,  5.62396467e-01,  5.87093771e-01, -2.33489379e-01,\n",
       "        1.15567982e-01, -2.61157990e-01,  1.84582397e-01,  8.00443962e-02,\n",
       "       -4.37872887e-01,  4.61173832e-01,  1.11820316e+00, -4.12449270e-01,\n",
       "       -2.61794150e-01, -1.47782624e+00, -2.28322893e-01,  1.69164990e-03,\n",
       "        9.69733715e-01,  6.98225677e-01, -1.52107239e-01, -1.41192877e+00,\n",
       "        4.12161529e-01,  3.63594800e-01,  7.85446092e-02, -1.70951828e-01,\n",
       "        1.89200163e-01,  2.21867844e-01, -6.40143275e-01, -1.64537430e+00,\n",
       "       -2.40711179e-02, -1.87497422e-01,  5.18708706e-01,  1.18248975e+00,\n",
       "       -2.44522795e-01,  1.71791896e-01, -3.91822040e-01, -3.51341099e-01,\n",
       "       -5.84096253e-01,  1.00610781e+00, -6.04900897e-01,  6.38857782e-01,\n",
       "        3.46415192e-01,  6.44207537e-01,  1.39488137e+00,  1.15360832e+00,\n",
       "        3.53927046e-01,  9.35809910e-02, -6.54618219e-02, -1.14155364e+00,\n",
       "       -8.28067958e-02,  1.78876269e+00,  1.73573434e-01,  7.95281827e-01,\n",
       "       -3.88512649e-02, -5.80992438e-02,  1.39411521e+00,  1.40414357e+00,\n",
       "       -2.56648779e-01,  7.68567249e-02, -1.44498408e+00, -2.36308455e-01,\n",
       "       -4.31675129e-02,  5.87398171e-01, -8.47404957e-01, -6.80000663e-01,\n",
       "        9.39467013e-01,  4.40298878e-02, -5.06742001e-01, -6.13022745e-01,\n",
       "       -2.15429384e-02, -4.12197024e-01, -6.44094110e-01, -2.47576371e-01,\n",
       "       -9.57221985e-02,  1.54706433e-01, -5.39734662e-01, -7.19273567e-01,\n",
       "        1.78165019e-01, -4.00565803e-01, -1.80058584e-01,  5.99932335e-02,\n",
       "        3.08918834e-01,  4.17808583e-03, -1.79603487e-01, -1.52863359e+00,\n",
       "       -7.67526507e-01,  4.19351220e-01,  1.22459523e-01,  2.54556268e-01,\n",
       "       -1.67847991e-01, -4.22355115e-01, -2.85470426e-01,  3.34519863e-01,\n",
       "       -1.20837040e-01,  6.54917955e-01, -1.76754773e-01,  6.99540138e-01,\n",
       "       -3.00127536e-01,  1.33882153e+00, -1.50488019e-01,  4.38718617e-01,\n",
       "        4.38173860e-01, -9.84540284e-01,  5.10493755e-01, -2.85014540e-01,\n",
       "       -6.35408401e-01, -6.90291822e-01,  4.15901333e-01,  6.49882019e-01,\n",
       "        6.06585383e-01, -9.72145557e-01,  6.53363705e-01,  4.72258180e-01,\n",
       "       -3.92302424e-02,  4.40421104e-01,  1.67528319e-03,  3.96477461e-01,\n",
       "        7.56170571e-01,  4.32100892e-01,  4.95326102e-01, -7.79927611e-01,\n",
       "        1.46200866e-01, -6.52984083e-01,  1.16896343e+00, -1.04273677e+00,\n",
       "       -8.24709237e-01, -3.62357914e-01, -1.16610181e+00, -1.20326638e+00,\n",
       "       -6.00290120e-01,  5.73619306e-01, -3.36604297e-01, -1.07574034e+00,\n",
       "        1.38023952e-02, -9.41087127e-01, -1.30925465e+00,  5.73020637e-01,\n",
       "       -1.08922195e+00,  2.63255358e-01,  1.74713939e-01, -1.32675424e-01,\n",
       "        1.17354178e+00, -3.60600829e-01,  1.30112115e-02,  1.10854948e+00,\n",
       "       -6.34432673e-01, -3.92352521e-01, -7.35281110e-01, -1.94714382e-01,\n",
       "        3.04449677e-01,  3.55521679e-01, -1.46498513e+00, -2.17609107e-01,\n",
       "       -3.97920847e-01,  4.46902424e-01,  7.36858904e-01, -9.03025627e-01,\n",
       "        7.21033573e-01,  5.34013927e-01, -8.23850095e-01, -1.18556641e-01,\n",
       "       -1.06249189e+00,  5.87114036e-01, -6.83813810e-01,  1.58516243e-01,\n",
       "       -3.08690012e-01,  4.79666322e-01,  1.43222272e+00,  3.16841304e-01,\n",
       "       -4.14086103e-01,  3.22777152e-01,  6.41599596e-01, -3.05717260e-01,\n",
       "       -4.64707315e-02, -1.51227963e+00,  1.27099782e-01,  3.64656180e-01,\n",
       "       -1.49462968e-01, -4.85386580e-01,  1.85896277e-01,  9.21768308e-01,\n",
       "       -6.07890040e-02,  2.15187948e-02,  4.40267414e-01, -1.03917873e+00,\n",
       "       -7.49536753e-02,  1.72469616e-01,  1.65500920e-02, -1.06575298e+00,\n",
       "       -1.20215130e+00, -2.14032292e-01, -6.24920547e-01, -2.58530658e-02,\n",
       "        1.43391883e+00,  1.17601836e+00, -3.93031836e-01, -4.86446440e-01,\n",
       "       -5.46557784e-01, -7.49978423e-02, -1.11176237e-01,  6.74428523e-01,\n",
       "        1.80728466e-03, -2.93598920e-01,  1.35205531e+00, -1.48699725e+00,\n",
       "       -1.03365881e-02, -2.80021101e-01, -4.70859408e-01, -1.14982891e+00,\n",
       "       -1.16796799e-01, -2.99035430e-01,  5.95762610e-01, -1.60606697e-01,\n",
       "       -1.97890088e-01, -3.32549632e-01, -8.45045269e-01, -2.63195246e-01,\n",
       "       -4.69482720e-01,  2.19115079e-03, -5.56020260e-01, -7.45688736e-01,\n",
       "       -8.97243023e-01, -1.31223655e+00, -7.77336583e-02, -2.53841460e-01,\n",
       "        2.66478091e-01,  7.61494160e-01, -5.35943270e-01, -1.16135880e-01,\n",
       "        6.97178364e-01, -8.13493848e-01,  3.35672498e-01,  6.45523906e-01,\n",
       "       -5.42539954e-01,  3.20824802e-01,  1.65995049e+00,  1.20469652e-01,\n",
       "        2.01471344e-01,  9.89093781e-01, -7.70557880e-01,  1.52785227e-01,\n",
       "       -8.76450837e-01,  8.02813828e-01, -3.21062326e-01,  5.22536755e-01,\n",
       "        5.48045635e-01,  9.21915591e-01, -4.91225868e-02,  4.38883334e-01,\n",
       "       -1.52223542e-01,  1.10375226e+00,  1.29842415e-01,  7.13723302e-01,\n",
       "        5.81487834e-01, -4.66285795e-01,  8.35477769e-01,  9.01127160e-02,\n",
       "        1.26592949e-01,  3.21377009e-01,  1.51614559e+00, -1.24440229e+00,\n",
       "       -3.31496418e-01, -6.54048741e-01,  1.13412952e+00,  3.37825686e-01,\n",
       "        7.16859639e-01, -1.23605227e+00,  2.83957720e-01,  9.28105950e-01,\n",
       "       -1.23409295e+00, -5.96013784e-01, -2.77575046e-01,  1.75387248e-01,\n",
       "       -1.43500054e+00,  1.06030628e-02,  2.09065408e-01,  6.37448907e-01,\n",
       "        7.91330636e-01, -6.29038215e-01, -4.04485643e-01, -1.73372328e-01,\n",
       "        5.04409596e-02, -9.60869610e-01, -1.66615888e-01, -1.40944287e-01,\n",
       "        1.24357378e+00, -3.93124759e-01,  3.46641332e-01, -5.81704140e-01,\n",
       "       -2.90764183e-01, -5.35009027e-01, -4.82081532e-01,  4.17631179e-01,\n",
       "        1.14575243e+00, -2.76823699e-01, -1.38706908e-01,  1.20021582e+00],\n",
       "      dtype=float32)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# polyBERT fingerprint. \n",
    "# polyBERT is a chemical language model that has learned to predict PSMILES string fingerprints.\n",
    "# polyBERT is super fast\n",
    "ps.fingerprint('polyBERT')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Canonicalize PSMILES \n",
    "\n",
    "set `logging.getLogger().setLevel(logging.DEBUG)` for verbose mode\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add draw options\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "IPythonConsole.drawOptions.addAtomIndices = True\n",
    "IPythonConsole.drawOptions.addBondIndices= False\n",
    "IPythonConsole.drawOptions.minFontSize = 16\n",
    "IPythonConsole.molSize = (600, 200)   # Change image size\n",
    "IPythonConsole.ipython_useSVG = True  # Change output to SVG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]NC(C)CC([*])=O\n"
     ]
    },
    {
     "data": {
      "image/png": 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QQlcZGxufPn3ayckpIyNj+vTpjY2NTCdSLcOHDz9y5IgWzj1XrvPnzzc0NHh6emJEGqTCLyfIgaWlZWxsrLW1dXx8/IIFC4RCIdOJQNNhvijIDoUQ5KN///5nzpwxNTU9fPgwVpEDs3g8Xnx8PBFNmDCB6SygBlAIQW7c3NyOHz+up6e3Y8eOr7/+muk4oLmSk6ttbd92cxvm6OjIdBZQA5g1CnIWFRUVGhoqEAjEawZkfFVFRUVlZWXLp0ZGRpiACp327rv088+0Zo3oiy8wRwmkQ48Q5GzatGnbt28XiUTvvvtueHi4jK/6/PPP+7fy5ZdfKjSk3D169Ojjjz92d3fv0aOHtra2p6fns2fPmA6loYRCiooiInrlFVRBkAl6hKAQa9euXbNmjY6OzsmTJwMDA6W2nzFjhoWFhRqdaFFTU3P58uXU1NT09PS0tLSysrLnGgwYMCAnJweTRZUvOZn8/KhfP8rPZzoKqAnsLAMK8fnnnz99+nTr1q2hoaEXLlzw9PSU3L64uNjNzU052TotLy8vKSmJy+UmJydfvXpVIBC0XLK2tra2tjY3Nw8ICOBwOMuXL799+7afn19KSgqDgTXT8eNERDNnMp0D1AcKISjKd999V1FR8euvv06cODEpKWnAgAESGhcXFxsYGMTGxvJ4vJEjR5qbmystpwTV1dXZ2dnJyclJSUmpqanl5eUtl7S1tV1dXf38/Hx9fb28vFxdXVsvmRcKhf/9739TU1O3bNmybNkyJrJrrshIIqJXXmE6B6gPDI2CAvF4vKlTp54+fdrR0TEpKcnGxqa9lnZ2dmw228nJKT8///Hjx3v27HnttdeUGVVMIBDk5uaK+3xJSUm5ubmt10Ta2Nh4eXl5eXmJ65/kk3327Nnz9ttvi0SiPXv2LFy4UPHZgYgoO5vc3cnKioqKCFvagYxQCEGx6uvrAwMDU1JShgwZcvHixZ49e7bZrKmpSUdHh4iEQuHSpUvDwsIKCwvbayxfVVVVGRkZLWOeT58+bbnE4XDc3NzEfb5Ro0Y5ODh06M47duxYsmQJh8OJjIwMCQmRd3Bowxdf0Jdf0uLF9PPPTEcB9YFCCApXVlbm7++fk5MzevTo06dP6+npSW6flZXl6el54cKFMWPGKCIPn8+/deuWuM/H5XJzcnJa/xbY2Ni0DHh6e3vr6up25XutXLlyw4YN+vr6cXFxfn5+Xc4OUri7U3Y2nT5NWEkPskMhBGUoLCz09fUtKCiYOnVqRETEi+e2NzY2tpSc06dPBwcHZ2dny/H0vuLi4szMTHGfLzk5uaGhoeWSkZGRu7u7eMBz9OjR8l2/KBKJ3n777V9++cXExOTixYvu7u5yvDk85/59cnAgExMqKSEdHabTgPpAIQQluXHjhr+/f0VFxeuvv75///7WU0sSExNfffXVdevWjR49urCw8N1337WyskpMTOzKt+PxeNnZ2eI+H5fLvXnzZuurjo6O4j6fl5fX8OHDORxOV76XZAKBYPbs2eHh4ba2tsnJyf369VPc99JwW7bQJ5/Qv/9Nv/3GdBRQKyiEoDzp6enjxo2rq6tbuXJl6z3YeDze119//csvvxQVFRkaGv7rX//avHlzr169Onr/R48etcxz4XK5rZe09+jRw83NTTzmOWLECCXPSm1qapo0adK5c+deeumlpKQknIegIH5+lJxM4eFYOwEdg0IISnXu3LlJkyY1NTVt2bLl448/fu5qXV2doaGh7Herq6vLysoSF7/ExMQnT560XGKz2c7Ozi2TPD08PJhd215dXT1mzJisrCxvb+/z588bGRkxGKZbevKEbG1JR4dKSqhHD6bTgFpBIQRlO3jwoPjE8M6tK3j06FFLny8jI6OpqanlkomJibe3t3jM08/PTzmTTmVXWlrq5+d3+/btgICAmJiYLk7Dgefs3EnvvENTpzbvrwYgOyyoB2Vzd3cXv/1avHixtbW11BPjampqrl27Ji5+6enppaWlLZfEq9pbFvY9t6pd1VhYWMTGxvr6+p4/f37BggUHDx7EBmxyJN5QBuvooRNQCEHZjh8/TkRubm7Z2dmhoaFxcXG+vr7PtWm9mVlWVlZ7q9pHjhxpYGCg1PRd4+joGBcX5+/vf/jw4Z49e+7YsYPpRN1EVRVduEBsNk2ezHQUUEMYGgVl8/T0zMrKOnny5PHjx/fs2WNkZPT7778PGjTo0KFDN2/erK6uTkxMrK6ubmmvra3t7u7eMslz0KBBDIaXi4SEhODg4GfPnq1du3b16tVMx+kODh6kuXMpIIDi45mOAmoIhRCU6v79+46OjkZGRiUlJdra2iNGjMjMzGSx2vg5nDJlyrhx43x8fDw8PHS63aKwEydOzJw5k8/n//DDD++//z7TcZhUXl6ekpIyZsyYHl2Y4hIaShER9OOPtHSpHKOBxhABKNF3331HRLNnzxZ/Wl5ebm1tLf5RNDExGTZs2IoVK4jIycmJ2ZxKEBYWxmKxtLS0jhw5wnQWZty9e/f9998XzxO+cOFCp+9TXy8yNBSxWKKCAvmFA02CZ/WgVOIHhK/8NaWhV69excXFWVlZDQ0NlZWV6enpdXV1RDRTAxaCvf7662vXrhUKhXPnzo2Li2M6DgN27typp6d36NChLt4nLo7q6sjbm3r3lksu0DiYLAPKU1JSkpKSoqurO3HixNZff/nll1s+jo6OplaVsntbtWpVRUXF999/Lz610cvLi+lESvXNN98QUUlJSRfvg/mi0EXoEYLyREVFCQSCwMBAY2PjNhtkZmbm5+fb2dl5e3srORtTtmzZMn/+/JqamuDg4Fu3bjEdR/0IBHTqFBHR9OlMRwG1hUIIyvPcuKiEBqq8HFC+WCzW7t27g4ODS0tLg4ODi4uLmU6kZhISqKyMXF1p4ECmo4DaQiEEJampqblw4QKbzZ4yZUp7baRWym6Jw+GEh4ePHDkyPz8/KCio9YGIIBXGRaHrUAhBSU6dOvXs2bNRo0ZZWFi02eDOnTs5OTm9evXy9/dXcjbGGRgYnDhxwsXF5fr16yEhIeIZQyCVSEQnThChEELXoBCCkkjt7YWHhxPR1KlTXzytUBOYmZmdPXu2b9++aWlps2fP5vP5TCdSAxkZ9PAh2duTpyfTUUCdoRCCMjQ2NsbGxhIRxkUlsLOzO3v2rKWl5cmTJxctWiTq7ptdFBQU7Nq168CBA0R08uTJXbt2tT4/RBbicdGZM0ljnimDQqAQgjKcPXu2pqbGy8vLwcGhzQZFRUWZmZkGBgbjx49XcjaV4uTkFB0dbWRkdODAgZUrVzIdR7GKi4uPHj16+vTp8ePHX7t27ejRo+Xl5R26g5ER2dhgvih0lSaOQYHyyTJfVCQSBQcHq9cm2oowbNiw48ePT548eePGjebm5suWLWM6kaIMHz787NmzXbnDZ5/RihXoDkJXoUcICicQCMTL5GfMmNFeG4yLtjZ+/Ph9+/ZpaWl9+umn+/btYzqOStPSQiGErkIhBIW7dOlSaWmpk5OTi4tLmw3Ky8sTExM5HE5ISIiSs6ms1157bdu2bSKRaPHixTExMUzHYcbOndS/P/XvT15e1Oo8kueNHUv9+//jAKakJHJ0JEdH2r1b0v0vX25utn273DKDOkIhBIUT9/YkbB8aHR3N5/MDAgJU7Ux5Zi1ZsmTFihU8Hi80NDQpKYnpOAyorKS8PMrLoytX6PPP22328CHl5VFR0d9fqa+n/HzKz6fKSkn3b2hoboalmxoOhRAUSyQSRUZGkmwbyigvlpr4+uuv33zzzYaGhsmTJ1+7do3pOEz68Ue6fJnpENBNoRCCYnG53IKCAgnbh9bX1587d05LS2vq1KlKzqb6WCzWzz//PHPmzKqqqkmTJt2/f5/pRMzQ1yehkJYsIYGA6SjQHaEQgmJJ3T40Jiamvr5+xIgRNjY2yo2mHths9qFDh8aPH19UVBQYGNjRlXbdwwcfEBFlZtJPPzEdBbojFEJQLNk32lZeJnWjo6MTERHh4eFx9+7dKVOm1NbWMp1I2ebNoyFDiIhWrSJsSw5yh0IICiR1+1AejyfecWY6FkVLZGxsfObMmQEDBmRkZEybNq2xsZHpRErFZtPWrUREVVX00UdMp4FuB4UQFEjq9qHnz59/+vSpu7t7//79lRtN/VhYWMTExFhbW58/f37BggVCoZDpREoVEEDiZah//NF8ACGAvGBnGVAgjIvKV//+/ePi4vz9/Q8fPtyzZ88dO3YwnUipvv2WYmOpoYE++IACAkhfX/pLbt5sPp6iTTduyDEdqDEUQlAUqduHCoXCEydOEAphRwwZMuT48ePBwcE//fSTjY3N6tWrmU6kPA4O9L//0Zo1dO8erV9P69ZJf8n+/bR/v8KDgbrD0CgoitTtQ1NTU4uLi/v16+fm5qbkbGptzJgxf/zxh7a29ueff/7jjz8yHUep/vtfcnIiIvrmG8rNld6ezSYdnXb/cDiKzgvqAYUQFEXGcdHQ0FDlZeoupk6dun37diL68MMPjx49ynQcuamtpYQE2rCBmprabqCr27wdWlMTLV0q/YYbNlBjY7t/urbjN3QfKISgEKLy8jl8vrOFxaRJk9prI3XHGZDg7bffXrdunVAonDt3blxcHNNxOu/RIzp6lD74gPz8yMyMxo6llSvp6tV22wcGkvi9U3w8RUcrLSZ0Z3hGCArBOnnyjcTERRMmsExN22xw7dq1e/fuWVlZ+fj4KDlbt7Fq1aqKiorvv/8+NDQ0ISHBU02Oaa+spPR0Sktr/t/W+3xyOOTtTT4+ZGws6Q7ff0+nT1NtLS1bRhMmKDovdH8ohKAYx44REUvauOj06dO1tDAs0XlbtmypqKgICwubOHHipUuXnJ2dmU7UBoGAcnOJyyUul5KTKSuLWi/9sLEhLy/y8iI/P/L1lWkuqL09rVlDn35Kd+5grxmQAxRCUID6ejp3jrS0qP3tQxsyMwnr6LuMxWLt3r27pKQkNjY2ODg4OTlZRXaqq6qijAxKSiIul1JSqKLi70scDnl4kK9vc/0bNKgz9//gAwoLo+vX6auviM2WV2rQUCiEoAAxMVRfT76+1N4/ynl5m06dWufiQmPHKjdZN8ThcMLDwwMDA1NSUoKCghITExk5zYrPp1u3mvt8SUmUk0Mi0d9Xxd0+cZ9v6FDS0+vqt+Nw6KefyN+fysq6eisAFEJQgOPHiYgkzII5doyIdDw9SVdXWZm6MwMDgxMnTowaNer69eshISHx8fHtLVmRr0ePROnprNRUSksjLpfq6/++ZGREQ4eSj0/zHysr+X93Pz+aN49+/VX+dwZNg0II8sbjUWwsEZGEYU+plRI6yMzMLC4uzs/PLy0tbfbs2ceOHWtvW7uu4PP5t27dSk5OTkpK4nK5pqafpaTMablqY9Pc5/PyomHDSEdH7t//eZs3U3Q0jtWFrkIhBHk7f56ePiU3N2pv+9AnTygtjfT0KChIucm6OXt7+5iYGH9//+jo6EWLFoWFhbV39FWHPHjwIDU1NS0tLT09/cqVK02tlvgFBWUGBc0R9/mGD6devbr+3TrG0pLWrZNpQSGABCiEIG9Se3uRkSQU0oQJ1KOH0kJpCFdX15iYmHHjxh04cMDOzm7Dhg2duEl9ff2VK1e4XC6Xy7106dJzpwE7Ojr6+vp6eXn5+fl5eHgodM7vv/5FXl5ERL17t9vmnXdo4EASif7x0+TlRWfOEBFJnkXr5tbcTLxbDWgslqj1E22ALhIKyd6eiovp2jVqb+O0iRPpzBnav5/mz1duOE1x7ty5SZMmNTU1ffvtt8uWLZPlJY8ePWoZ8MzMzGx9zJOxsfGwYcPExc/X17eX8vt9AAqGQghylZxMfn7Urx/l57fdoKqKLC1JIKDHj8ncXLnhNMihQ4fmzZsnEon27NmzcOHCFxvU1tZevXqVy+UmJycnJCSUlpa2XGKz2c7OzuI+n6+vr6urq1yGWAFUFoZGQa7E46IzZ7bb4ORJamqigABUQaJzQcYAAAu1SURBVIWaM2fO06dPly5dunjxYisrq5CQECLKy8sT9/mSk5OzsrJan2hobW09dOhQcfEbOXKkciadAqgIFEKQq8hIIokPCDFfVFmWLFlSWFi4cePGGTNmeHp63rx5s6qqquWqrq6uh4eHj4+Pj4/PiBEj+vTpw2BUAGZhaBTkJzub3N3JyoqKitre7aOhgSwsqL6eHjyQNP8B5EQkEk2cODE7O/vx48dEZGNj0zLg6eXlpS/LbmYAGgA9QpCfY8eIiKZPb3fPq7g4qqujYcNQBZWDxWL16NHj8ePHb7755tq1a1Vk9zUAVYP9jkF+pA57YlxUuRobG+Pi4lgs1urVq1EFAdqDQghycv8+ZWeTiUm724cKBHTqFJHEHWdAruLi4mpqary8vPAIEEACFEKQk4gIIqJJk9rdWeviRSorIxcXGjhQmbk0mfisqxePPk5OTp4xY8agQYMCAgL27NmDiQKg4VAIQU5kHBedMUNJeTSeQCA4efIkEc3453/zs2fPBgQE9O3bd+PGjWPGjHnnnXe2b9/OUEYAlYBZoyAPT56QrS3p6FBJSdsbp4lE1LcvPXxImZnNu2aBgl24cCEgIGDAgAG3bt1q/fWsrKzs7Oz5f23r89prr925cyczM5OJjAAqAbNGQR7E24cGBbW7fWhGBj18SPb25Omp3GSaSzwuOvOFzQ08PDw8PDxaPu3Tp8/ly5eVmgxAxWBoFORB9nFRbNalFCKRKCoqitp6QPic1NRUT7w7Ac2GHiF0WVUVXbhAbDZNntxuG6k7zoBcZWZmFhQU2NnZDR06VEKzyMjIlJQU9AhBw6FHCF0m3j509Oh2tw+9eZNyc8nMjPz8lJtMc4nHRWfMmCFhv+zU1NT58+evX78ePULQcCiE0GUyjotOm0YKODMd2tTewokWv//+e1BQ0Keffrp8+XIl5gJQRZg1Cl3z7BlZWlJtraTtQ4cOJS6XoqMljZ2C/Ny+fdvZ2dnMzOzx48faL7z54PP5q1at2r59+969e2fNmsVIQgCVgh4hdE1cHNXU0NCh7VbBwkK6coWMjGj8eOUm01wRERFENHXq1BerIBH95z//2bRpk6Gh4aZNm4b+paysTOkxAVQFhqqga6SOix47RiIRhYSQnp7SQmk4yeOiCxYsCAwMfO6LRkZGCo8FoKowNApdIBCQtTWVlVFOTrsbp40dSwkJ9PvvNHu2csNpqKKiot69exsaGpaUlOCgJQBZoEcIXfDoEfXpQxYW7VbB8nJKSiIOhyZOVG4yzXXs2DHxMYSoggAyQiGELujdm7hcqqtrt0FUFPH5FBxMpqZKjKXRpM4XBYDnYLIMdJmhYbuXcAChcpWXl1+6dInD4YSEhDCdBUBtoBCCwvB4lJ5OWlo0dSrTUTTFiRMn+Hz+uHHjTNEFB5AZhkahC4RCKi+n8nLS1ydz8+e7hhxO83ETVlYM5dM4GBcF6ATMGoWOE4no2DE6cIDOn6eamr+/7uxMwcH0wQfUrx9j2TRYbW2tpaVlY2NjYWGhjY0N03EA1AaGRqGDiopo5EgKDaWoqH9UQSK6dYu2bqWBA2n9eobCabTTp083NDSMHDkSVRCgQzA0Ch1RUECjRlFBARFRv370n/+Qvz9ZW1NDA925Q+HhdPAgNTbSZ5/R48e0bRvTcTULxkUBOgdDoyAzoZACAujiRSKiuXNp9+42NotJS6PJk6m8nIjoyBHCVpbKwuPxLC0tKysr79275+joyHQcAHWCoVGQWUREcxUcNYrCwtreMs3HhyIiSEuLiOiTT4jPV2pCDRYfH19ZWenu7o4qCNBRKIQgsx07mj/47rvmUtem0aMpNJSIqKCAoqOVEQwwLgrQBSiEIJu6OkpKIiJycSGJh54TES1Y0PzB6dMKDQViQqEwOjqaiGbMmMF0FgD1g0IIssnMbB7nHDFCeuORI0l8MHp6umJTARERpaSkFBcXOzg4DBkyhOksAOoHhRBkU1jY/IGTk/TGJibNi+hbXgWKJB4XnTlzJtNBANQSCiHIpqKi+QNjY5nam5gQEVVWklCoqEjwl8jISMIDQoDOQiEE2bQss5EwTaY1NvsfrwKFuXbtWl5enpWVlY+PD9NZANQSCiHIpmUT5+d2k2lPVRURkbGxrIUTOqtlvqgW/lMDdAp+c0A21tbNH9y/L71xQwM9eUJEhL2+FO/YsWOEcVGALkAhBNkMHdo8ETQzU3rjrKzmKabe3opNpfHy8/P//PNPExOTMWPGMJ0FQF2hEIJsevUi8dT8jAx68EBK4z/+aP5g7FjFptJ4ERERRDRlyhQdHR2mswCoKxRCkNlbbxERiUT01VeSmj18SHv3EhH17Im9RhUNG8oAdB023QaZ1dbSkCF0/z6xWLRnDy1c2Eab6mqaOJFSU4mINm2i5cuVnFGjPHnyxNbWVldXt7S01PC5U5EBQGboEYLMjIwoLIw4HBKJ6I036I03KDf376vPnlFEBA0d2lwFR4+mZcuYSqohjh8/LhQKg4KCUAUBugLnEUJH+PtTdDSFhlJtLe3dS3v3kq0tWVlRYyM9eEB1dc3NJkyg8PDmpYSgMBgXBZALDI1CxxUW0po1dPgw1dc/f2nAAPrsM5o7F8sHFa2qqsrS0lIoFBYXF5ubmzMdB0CNoUcIHWdvT3v20PbtlJJC+flUVka6umRpSd7eMu1ECvIQHR3d1NQ0btw4VEGALkIhhM7S06OAAKZDaC6MiwLIC4ZGAdRPQ0ODhYVFfX39gwcPevfuzXQcAPWGBzkA6icuLq6urm7YsGGoggBdh0IIoH4wLgogRxgaBVAzfD7fxsamrKwsNzfX2dmZ6TgAag89QgA1c/HixbKyMldXV1RBALnArFGQ7siRI/n5+a2/wuFwPv74Y6byaDiMiwLIF4ZGQbr//e9/XC635dO7d+/W1taWlpYyGEljiUSivn37Pnz4MDMz08vLi+k4AN0BCiF0mKen5/jx47/55humg2ii9PR0Hx8fe3v7goIClviESADoGgyNQsfEx8dfv349MjKS6SAaSjwuOnPmTFRBAHlBjxA6JiQkpFevXr/99hvTQTTUwIEDb926lZCQMHr0aKazAHQTKITQAbdu3XJ1dU1LS/P29mY6iya6efPmoEGDzM3Ni4uLtbUxnAMgH1g+AR2wefPm0aNHowoy5dixY0Q0bdo0VEEAOcKvE8iqpKTk4MGD4eHhTAfRXFg4AaAIGBoFWa1evfro0aM3b97UwlmDTHjw4IGDg4OhoWFpaamenh7TcQC6D/yLBjKpr6//+eefly1bhirIlMjISJFIFBISgioIIF/4Rw1kcu3atcDAwLlz5zIdRHNhXBRAQTA0CsCY3Nzcy5cv6+vrjxw50s7OTkLLsrIyGxsbNptdUlJibGystIQAmgCTZQAYIBKJ3n///X379nl5eZWVld27d2/37t3z5s1rr31UVBSfzw8KCkIVBJA7DI0CMCAnJ+fcuXM5OTkXL168cePGokWLPvjgAwnDMxgXBVAc9AgBGODq6nrjxo2WmUeDBw+urq5uamrS1dV9sXFtbW18fLyWltbkyZOVGxNAI6AQAjBDXAX5fP7Vq1e3bt26aNGiNqsgEZ06derZs2f+/v7W1tbKzQigETA0CsCYhIQEDofj7e1tYmKycePG9pphXBRAoTBrFIAxfD6/pqYmPz//o48+qqmpycjIYLPZz7VpbGy0tLSsrq7Oy8tzcHBgJCdA94YeIQBjtLW1e/bs6enpuWnTpqysrMzMzBfbxMfHV1dXe3h4oAoCKAgKIQADRCJR67LX0NDQXkvx0Y8YFwVQHAyNAjAgJSVlzJgxH330UWBgYElJyZdffqmvr8/lcl8cGq2qqjp16pSPj4+joyMjUQG6PRRCAGYkJCR8++23169fNzAwCAgIWLNmjYWFBdOhADQRCiEAAGg0PCMEAACNhkIIAAAaDYUQAAA0GgohAABoNBRCAADQaCiEAACg0VAIAQBAo6EQAgCARvt/MODASiYjWpMAAADKelRYdHJka2l0UEtMIHJka2l0IDIwMjIuMDkuMwAAeJx7v2/tPQYg4GWAAEYg5gBidiBuYGRQ0QAL6oCEtdgZEoAUEyMbmGaG0ozMEJqJiY0BpJqZBVUXB0SUiRtoNiMTAxMzAxMLAwsrAysbAys7B5MIg3gW1F4w4Lg208ghZOFiexCHeaKogxKb9D4Qe5l5vL1K/Ccwe7PGNbtHMz/vB7HPHuXbNy1NCaz+TdzZ/VIf59uB2Hsz1Q9EH98KFvfcwXzgEms/WL0YADKkJxr+4Bi5AAABIHpUWHRNT0wgcmRraXQgMjAyMi4wOS4zAAB4nH2SS27EIAyG9zmFLzDILwwsushjVFXtJNI0nTt03/urZqqUjJTWYAmbD4x/0UG16/T6+QW/xlPXAeA/s5QCN0HE7gJ1AcP5+WWGce2HLTMuH/P6DhmSn/DxSPbrctkyBFfgkAqaFKDAKYsRYMC7+dlb//ZEG80wOy1iJRmcMFAkKXt8AwVGz+ZERaWCmkQyH4B6B5UypwInCgWFRA/A6GCtKEXZfN9EJeUD0CpIwVA1Ft8XYsl2ACZv/cTBKGauvSsjqf3Ze4al4hizX1grECWxeHDxeZ4eNP5RfVjmqaleBzdZPQBp4pG7NolqGJsQ5G6tXXJPrSn2MO+fsi9c4+2j+Lr7Bmdeedmix1XdAAAA1HpUWHRTTUlMRVMgcmRraXQgMjAyMi4wOS4zAAB4nFWNO27DMBBEr5JSEqjF/ri7pJBKbeDkCg7iLoKMwCkM+PAW0xAp3xvMzHRah3Vc12EaX99fHgODFzRNBOwhlhYGESuRZgTKJIXSghBORaU5dZHg5pSCvaSZoKCQpKU1pChbQjBR8TgcgaFqU0IscRzMDEY55LhURsp/BnMQty0iF09jOt/27eNnv1aEr99tu7+dPy/fMB3YktN+uwBW6kCVO3CVDlK1g9bcIVf7P249s+od/PEEgKhRXNw35iAAAAAASUVORK5CYII=",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f226a9e5640>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CC(=O)NC([*])C\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f22e8816850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import logging\n",
    "# The INFO level does not give any additional information\n",
    "logging.getLogger().setLevel(logging.INFO)\n",
    "sm = '[*]NC(C)CC([*])=O'\n",
    "display(PS(sm))\n",
    "display(PS(sm).canonicalize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]NC(C)CC([*])=O\n"
     ]
    },
    {
     "data": {
      "image/png": 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QQlcZGxufPn3ayckpIyNj+vTpjY2NTCdSLcOHDz9y5IgWzj1XrvPnzzc0NHh6emJEGqTCLyfIgaWlZWxsrLW1dXx8/IIFC4RCIdOJQNNhvijIDoUQ5KN///5nzpwxNTU9fPgwVpEDs3g8Xnx8PBFNmDCB6SygBlAIQW7c3NyOHz+up6e3Y8eOr7/+muk4oLmSk6ttbd92cxvm6OjIdBZQA5g1CnIWFRUVGhoqEAjEawZkfFVFRUVlZWXLp0ZGRpiACp327rv088+0Zo3oiy8wRwmkQ48Q5GzatGnbt28XiUTvvvtueHi4jK/6/PPP+7fy5ZdfKjSk3D169Ojjjz92d3fv0aOHtra2p6fns2fPmA6loYRCiooiInrlFVRBkAl6hKAQa9euXbNmjY6OzsmTJwMDA6W2nzFjhoWFhRqdaFFTU3P58uXU1NT09PS0tLSysrLnGgwYMCAnJweTRZUvOZn8/KhfP8rPZzoKqAnsLAMK8fnnnz99+nTr1q2hoaEXLlzw9PSU3L64uNjNzU052TotLy8vKSmJy+UmJydfvXpVIBC0XLK2tra2tjY3Nw8ICOBwOMuXL799+7afn19KSgqDgTXT8eNERDNnMp0D1AcKISjKd999V1FR8euvv06cODEpKWnAgAESGhcXFxsYGMTGxvJ4vJEjR5qbmystpwTV1dXZ2dnJyclJSUmpqanl5eUtl7S1tV1dXf38/Hx9fb28vFxdXVsvmRcKhf/9739TU1O3bNmybNkyJrJrrshIIqJXXmE6B6gPDI2CAvF4vKlTp54+fdrR0TEpKcnGxqa9lnZ2dmw228nJKT8///Hjx3v27HnttdeUGVVMIBDk5uaK+3xJSUm5ubmt10Ta2Nh4eXl5eXmJ65/kk3327Nnz9ttvi0SiPXv2LFy4UPHZgYgoO5vc3cnKioqKCFvagYxQCEGx6uvrAwMDU1JShgwZcvHixZ49e7bZrKmpSUdHh4iEQuHSpUvDwsIKCwvbayxfVVVVGRkZLWOeT58+bbnE4XDc3NzEfb5Ro0Y5ODh06M47duxYsmQJh8OJjIwMCQmRd3Bowxdf0Jdf0uLF9PPPTEcB9YFCCApXVlbm7++fk5MzevTo06dP6+npSW6flZXl6el54cKFMWPGKCIPn8+/deuWuM/H5XJzcnJa/xbY2Ni0DHh6e3vr6up25XutXLlyw4YN+vr6cXFxfn5+Xc4OUri7U3Y2nT5NWEkPskMhBGUoLCz09fUtKCiYOnVqRETEi+e2NzY2tpSc06dPBwcHZ2dny/H0vuLi4szMTHGfLzk5uaGhoeWSkZGRu7u7eMBz9OjR8l2/KBKJ3n777V9++cXExOTixYvu7u5yvDk85/59cnAgExMqKSEdHabTgPpAIQQluXHjhr+/f0VFxeuvv75///7WU0sSExNfffXVdevWjR49urCw8N1337WyskpMTOzKt+PxeNnZ2eI+H5fLvXnzZuurjo6O4j6fl5fX8OHDORxOV76XZAKBYPbs2eHh4ba2tsnJyf369VPc99JwW7bQJ5/Qv/9Nv/3GdBRQKyiEoDzp6enjxo2rq6tbuXJl6z3YeDze119//csvvxQVFRkaGv7rX//avHlzr169Onr/R48etcxz4XK5rZe09+jRw83NTTzmOWLECCXPSm1qapo0adK5c+deeumlpKQknIegIH5+lJxM4eFYOwEdg0IISnXu3LlJkyY1NTVt2bLl448/fu5qXV2doaGh7Herq6vLysoSF7/ExMQnT560XGKz2c7Ozi2TPD08PJhd215dXT1mzJisrCxvb+/z588bGRkxGKZbevKEbG1JR4dKSqhHD6bTgFpBIQRlO3jwoPjE8M6tK3j06FFLny8jI6OpqanlkomJibe3t3jM08/PTzmTTmVXWlrq5+d3+/btgICAmJiYLk7Dgefs3EnvvENTpzbvrwYgOyyoB2Vzd3cXv/1avHixtbW11BPjampqrl27Ji5+6enppaWlLZfEq9pbFvY9t6pd1VhYWMTGxvr6+p4/f37BggUHDx7EBmxyJN5QBuvooRNQCEHZjh8/TkRubm7Z2dmhoaFxcXG+vr7PtWm9mVlWVlZ7q9pHjhxpYGCg1PRd4+joGBcX5+/vf/jw4Z49e+7YsYPpRN1EVRVduEBsNk2ezHQUUEMYGgVl8/T0zMrKOnny5PHjx/fs2WNkZPT7778PGjTo0KFDN2/erK6uTkxMrK6ubmmvra3t7u7eMslz0KBBDIaXi4SEhODg4GfPnq1du3b16tVMx+kODh6kuXMpIIDi45mOAmoIhRCU6v79+46OjkZGRiUlJdra2iNGjMjMzGSx2vg5nDJlyrhx43x8fDw8PHS63aKwEydOzJw5k8/n//DDD++//z7TcZhUXl6ekpIyZsyYHl2Y4hIaShER9OOPtHSpHKOBxhABKNF3331HRLNnzxZ/Wl5ebm1tLf5RNDExGTZs2IoVK4jIycmJ2ZxKEBYWxmKxtLS0jhw5wnQWZty9e/f9998XzxO+cOFCp+9TXy8yNBSxWKKCAvmFA02CZ/WgVOIHhK/8NaWhV69excXFWVlZDQ0NlZWV6enpdXV1RDRTAxaCvf7662vXrhUKhXPnzo2Li2M6DgN27typp6d36NChLt4nLo7q6sjbm3r3lksu0DiYLAPKU1JSkpKSoqurO3HixNZff/nll1s+jo6OplaVsntbtWpVRUXF999/Lz610cvLi+lESvXNN98QUUlJSRfvg/mi0EXoEYLyREVFCQSCwMBAY2PjNhtkZmbm5+fb2dl5e3srORtTtmzZMn/+/JqamuDg4Fu3bjEdR/0IBHTqFBHR9OlMRwG1hUIIyvPcuKiEBqq8HFC+WCzW7t27g4ODS0tLg4ODi4uLmU6kZhISqKyMXF1p4ECmo4DaQiEEJampqblw4QKbzZ4yZUp7baRWym6Jw+GEh4ePHDkyPz8/KCio9YGIIBXGRaHrUAhBSU6dOvXs2bNRo0ZZWFi02eDOnTs5OTm9evXy9/dXcjbGGRgYnDhxwsXF5fr16yEhIeIZQyCVSEQnThChEELXoBCCkkjt7YWHhxPR1KlTXzytUBOYmZmdPXu2b9++aWlps2fP5vP5TCdSAxkZ9PAh2duTpyfTUUCdoRCCMjQ2NsbGxhIRxkUlsLOzO3v2rKWl5cmTJxctWiTq7ptdFBQU7Nq168CBA0R08uTJXbt2tT4/RBbicdGZM0ljnimDQqAQgjKcPXu2pqbGy8vLwcGhzQZFRUWZmZkGBgbjx49XcjaV4uTkFB0dbWRkdODAgZUrVzIdR7GKi4uPHj16+vTp8ePHX7t27ejRo+Xl5R26g5ER2dhgvih0lSaOQYHyyTJfVCQSBQcHq9cm2oowbNiw48ePT548eePGjebm5suWLWM6kaIMHz787NmzXbnDZ5/RihXoDkJXoUcICicQCMTL5GfMmNFeG4yLtjZ+/Ph9+/ZpaWl9+umn+/btYzqOStPSQiGErkIhBIW7dOlSaWmpk5OTi4tLmw3Ky8sTExM5HE5ISIiSs6ms1157bdu2bSKRaPHixTExMUzHYcbOndS/P/XvT15e1Oo8kueNHUv9+//jAKakJHJ0JEdH2r1b0v0vX25utn273DKDOkIhBIUT9/YkbB8aHR3N5/MDAgJU7Ux5Zi1ZsmTFihU8Hi80NDQpKYnpOAyorKS8PMrLoytX6PPP22328CHl5VFR0d9fqa+n/HzKz6fKSkn3b2hoboalmxoOhRAUSyQSRUZGkmwbyigvlpr4+uuv33zzzYaGhsmTJ1+7do3pOEz68Ue6fJnpENBNoRCCYnG53IKCAgnbh9bX1587d05LS2vq1KlKzqb6WCzWzz//PHPmzKqqqkmTJt2/f5/pRMzQ1yehkJYsIYGA6SjQHaEQgmJJ3T40Jiamvr5+xIgRNjY2yo2mHths9qFDh8aPH19UVBQYGNjRlXbdwwcfEBFlZtJPPzEdBbojFEJQLNk32lZeJnWjo6MTERHh4eFx9+7dKVOm1NbWMp1I2ebNoyFDiIhWrSJsSw5yh0IICiR1+1AejyfecWY6FkVLZGxsfObMmQEDBmRkZEybNq2xsZHpRErFZtPWrUREVVX00UdMp4FuB4UQFEjq9qHnz59/+vSpu7t7//79lRtN/VhYWMTExFhbW58/f37BggVCoZDpREoVEEDiZah//NF8ACGAvGBnGVAgjIvKV//+/ePi4vz9/Q8fPtyzZ88dO3YwnUipvv2WYmOpoYE++IACAkhfX/pLbt5sPp6iTTduyDEdqDEUQlAUqduHCoXCEydOEAphRwwZMuT48ePBwcE//fSTjY3N6tWrmU6kPA4O9L//0Zo1dO8erV9P69ZJf8n+/bR/v8KDgbrD0CgoitTtQ1NTU4uLi/v16+fm5qbkbGptzJgxf/zxh7a29ueff/7jjz8yHUep/vtfcnIiIvrmG8rNld6ezSYdnXb/cDiKzgvqAYUQFEXGcdHQ0FDlZeoupk6dun37diL68MMPjx49ynQcuamtpYQE2rCBmprabqCr27wdWlMTLV0q/YYbNlBjY7t/urbjN3QfKISgEKLy8jl8vrOFxaRJk9prI3XHGZDg7bffXrdunVAonDt3blxcHNNxOu/RIzp6lD74gPz8yMyMxo6llSvp6tV22wcGkvi9U3w8RUcrLSZ0Z3hGCArBOnnyjcTERRMmsExN22xw7dq1e/fuWVlZ+fj4KDlbt7Fq1aqKiorvv/8+NDQ0ISHBU02Oaa+spPR0Sktr/t/W+3xyOOTtTT4+ZGws6Q7ff0+nT1NtLS1bRhMmKDovdH8ohKAYx44REUvauOj06dO1tDAs0XlbtmypqKgICwubOHHipUuXnJ2dmU7UBoGAcnOJyyUul5KTKSuLWi/9sLEhLy/y8iI/P/L1lWkuqL09rVlDn35Kd+5grxmQAxRCUID6ejp3jrS0qP3tQxsyMwnr6LuMxWLt3r27pKQkNjY2ODg4OTlZRXaqq6qijAxKSiIul1JSqKLi70scDnl4kK9vc/0bNKgz9//gAwoLo+vX6auviM2WV2rQUCiEoAAxMVRfT76+1N4/ynl5m06dWufiQmPHKjdZN8ThcMLDwwMDA1NSUoKCghITExk5zYrPp1u3mvt8SUmUk0Mi0d9Xxd0+cZ9v6FDS0+vqt+Nw6KefyN+fysq6eisAFEJQgOPHiYgkzII5doyIdDw9SVdXWZm6MwMDgxMnTowaNer69eshISHx8fHtLVmRr0ePROnprNRUSksjLpfq6/++ZGREQ4eSj0/zHysr+X93Pz+aN49+/VX+dwZNg0II8sbjUWwsEZGEYU+plRI6yMzMLC4uzs/PLy0tbfbs2ceOHWtvW7uu4PP5t27dSk5OTkpK4nK5pqafpaTMablqY9Pc5/PyomHDSEdH7t//eZs3U3Q0jtWFrkIhBHk7f56ePiU3N2pv+9AnTygtjfT0KChIucm6OXt7+5iYGH9//+jo6EWLFoWFhbV39FWHPHjwIDU1NS0tLT09/cqVK02tlvgFBWUGBc0R9/mGD6devbr+3TrG0pLWrZNpQSGABCiEIG9Se3uRkSQU0oQJ1KOH0kJpCFdX15iYmHHjxh04cMDOzm7Dhg2duEl9ff2VK1e4XC6Xy7106dJzpwE7Ojr6+vp6eXn5+fl5eHgodM7vv/5FXl5ERL17t9vmnXdo4EASif7x0+TlRWfOEBFJnkXr5tbcTLxbDWgslqj1E22ALhIKyd6eiovp2jVqb+O0iRPpzBnav5/mz1duOE1x7ty5SZMmNTU1ffvtt8uWLZPlJY8ePWoZ8MzMzGx9zJOxsfGwYcPExc/X17eX8vt9AAqGQghylZxMfn7Urx/l57fdoKqKLC1JIKDHj8ncXLnhNMihQ4fmzZsnEon27NmzcOHCFxvU1tZevXqVy+UmJycnJCSUlpa2XGKz2c7OzuI+n6+vr6urq1yGWAFUFoZGQa7E46IzZ7bb4ORJamqigABUQaJzQcYAAAu1SURBVIWaM2fO06dPly5dunjxYisrq5CQECLKy8sT9/mSk5OzsrJan2hobW09dOhQcfEbOXKkciadAqgIFEKQq8hIIokPCDFfVFmWLFlSWFi4cePGGTNmeHp63rx5s6qqquWqrq6uh4eHj4+Pj4/PiBEj+vTpw2BUAGZhaBTkJzub3N3JyoqKitre7aOhgSwsqL6eHjyQNP8B5EQkEk2cODE7O/vx48dEZGNj0zLg6eXlpS/LbmYAGgA9QpCfY8eIiKZPb3fPq7g4qqujYcNQBZWDxWL16NHj8ePHb7755tq1a1Vk9zUAVYP9jkF+pA57YlxUuRobG+Pi4lgs1urVq1EFAdqDQghycv8+ZWeTiUm724cKBHTqFJHEHWdAruLi4mpqary8vPAIEEACFEKQk4gIIqJJk9rdWeviRSorIxcXGjhQmbk0mfisqxePPk5OTp4xY8agQYMCAgL27NmDiQKg4VAIQU5kHBedMUNJeTSeQCA4efIkEc3453/zs2fPBgQE9O3bd+PGjWPGjHnnnXe2b9/OUEYAlYBZoyAPT56QrS3p6FBJSdsbp4lE1LcvPXxImZnNu2aBgl24cCEgIGDAgAG3bt1q/fWsrKzs7Oz5f23r89prr925cyczM5OJjAAqAbNGQR7E24cGBbW7fWhGBj18SPb25Omp3GSaSzwuOvOFzQ08PDw8PDxaPu3Tp8/ly5eVmgxAxWBoFORB9nFRbNalFCKRKCoqitp6QPic1NRUT7w7Ac2GHiF0WVUVXbhAbDZNntxuG6k7zoBcZWZmFhQU2NnZDR06VEKzyMjIlJQU9AhBw6FHCF0m3j509Oh2tw+9eZNyc8nMjPz8lJtMc4nHRWfMmCFhv+zU1NT58+evX78ePULQcCiE0GUyjotOm0YKODMd2tTewokWv//+e1BQ0Keffrp8+XIl5gJQRZg1Cl3z7BlZWlJtraTtQ4cOJS6XoqMljZ2C/Ny+fdvZ2dnMzOzx48faL7z54PP5q1at2r59+969e2fNmsVIQgCVgh4hdE1cHNXU0NCh7VbBwkK6coWMjGj8eOUm01wRERFENHXq1BerIBH95z//2bRpk6Gh4aZNm4b+paysTOkxAVQFhqqga6SOix47RiIRhYSQnp7SQmk4yeOiCxYsCAwMfO6LRkZGCo8FoKowNApdIBCQtTWVlVFOTrsbp40dSwkJ9PvvNHu2csNpqKKiot69exsaGpaUlOCgJQBZoEcIXfDoEfXpQxYW7VbB8nJKSiIOhyZOVG4yzXXs2DHxMYSoggAyQiGELujdm7hcqqtrt0FUFPH5FBxMpqZKjKXRpM4XBYDnYLIMdJmhYbuXcAChcpWXl1+6dInD4YSEhDCdBUBtoBCCwvB4lJ5OWlo0dSrTUTTFiRMn+Hz+uHHjTNEFB5AZhkahC4RCKi+n8nLS1ydz8+e7hhxO83ETVlYM5dM4GBcF6ATMGoWOE4no2DE6cIDOn6eamr+/7uxMwcH0wQfUrx9j2TRYbW2tpaVlY2NjYWGhjY0N03EA1AaGRqGDiopo5EgKDaWoqH9UQSK6dYu2bqWBA2n9eobCabTTp083NDSMHDkSVRCgQzA0Ch1RUECjRlFBARFRv370n/+Qvz9ZW1NDA925Q+HhdPAgNTbSZ5/R48e0bRvTcTULxkUBOgdDoyAzoZACAujiRSKiuXNp9+42NotJS6PJk6m8nIjoyBHCVpbKwuPxLC0tKysr79275+joyHQcAHWCoVGQWUREcxUcNYrCwtreMs3HhyIiSEuLiOiTT4jPV2pCDRYfH19ZWenu7o4qCNBRKIQgsx07mj/47rvmUtem0aMpNJSIqKCAoqOVEQwwLgrQBSiEIJu6OkpKIiJycSGJh54TES1Y0PzB6dMKDQViQqEwOjqaiGbMmMF0FgD1g0IIssnMbB7nHDFCeuORI0l8MHp6umJTARERpaSkFBcXOzg4DBkyhOksAOoHhRBkU1jY/IGTk/TGJibNi+hbXgWKJB4XnTlzJtNBANQSCiHIpqKi+QNjY5nam5gQEVVWklCoqEjwl8jISMIDQoDOQiEE2bQss5EwTaY1NvsfrwKFuXbtWl5enpWVlY+PD9NZANQSCiHIpmUT5+d2k2lPVRURkbGxrIUTOqtlvqgW/lMDdAp+c0A21tbNH9y/L71xQwM9eUJEhL2+FO/YsWOEcVGALkAhBNkMHdo8ETQzU3rjrKzmKabe3opNpfHy8/P//PNPExOTMWPGMJ0FQF2hEIJsevUi8dT8jAx68EBK4z/+aP5g7FjFptJ4ERERRDRlyhQdHR2mswCoKxRCkNlbbxERiUT01VeSmj18SHv3EhH17Im9RhUNG8oAdB023QaZ1dbSkCF0/z6xWLRnDy1c2Eab6mqaOJFSU4mINm2i5cuVnFGjPHnyxNbWVldXt7S01PC5U5EBQGboEYLMjIwoLIw4HBKJ6I036I03KDf376vPnlFEBA0d2lwFR4+mZcuYSqohjh8/LhQKg4KCUAUBugLnEUJH+PtTdDSFhlJtLe3dS3v3kq0tWVlRYyM9eEB1dc3NJkyg8PDmpYSgMBgXBZALDI1CxxUW0po1dPgw1dc/f2nAAPrsM5o7F8sHFa2qqsrS0lIoFBYXF5ubmzMdB0CNoUcIHWdvT3v20PbtlJJC+flUVka6umRpSd7eMu1ECvIQHR3d1NQ0btw4VEGALkIhhM7S06OAAKZDaC6MiwLIC4ZGAdRPQ0ODhYVFfX39gwcPevfuzXQcAPWGBzkA6icuLq6urm7YsGGoggBdh0IIoH4wLgogRxgaBVAzfD7fxsamrKwsNzfX2dmZ6TgAag89QgA1c/HixbKyMldXV1RBALnArFGQ7siRI/n5+a2/wuFwPv74Y6byaDiMiwLIF4ZGQbr//e9/XC635dO7d+/W1taWlpYyGEljiUSivn37Pnz4MDMz08vLi+k4AN0BCiF0mKen5/jx47/55humg2ii9PR0Hx8fe3v7goIClviESADoGgyNQsfEx8dfv349MjKS6SAaSjwuOnPmTFRBAHlBjxA6JiQkpFevXr/99hvTQTTUwIEDb926lZCQMHr0aKazAHQTKITQAbdu3XJ1dU1LS/P29mY6iya6efPmoEGDzM3Ni4uLtbUxnAMgH1g+AR2wefPm0aNHowoy5dixY0Q0bdo0VEEAOcKvE8iqpKTk4MGD4eHhTAfRXFg4AaAIGBoFWa1evfro0aM3b97UwlmDTHjw4IGDg4OhoWFpaamenh7TcQC6D/yLBjKpr6//+eefly1bhirIlMjISJFIFBISgioIIF/4Rw1kcu3atcDAwLlz5zIdRHNhXBRAQTA0CsCY3Nzcy5cv6+vrjxw50s7OTkLLsrIyGxsbNptdUlJibGystIQAmgCTZQAYIBKJ3n///X379nl5eZWVld27d2/37t3z5s1rr31UVBSfzw8KCkIVBJA7DI0CMCAnJ+fcuXM5OTkXL168cePGokWLPvjgAwnDMxgXBVAc9AgBGODq6nrjxo2WmUeDBw+urq5uamrS1dV9sXFtbW18fLyWltbkyZOVGxNAI6AQAjBDXAX5fP7Vq1e3bt26aNGiNqsgEZ06derZs2f+/v7W1tbKzQigETA0CsCYhIQEDofj7e1tYmKycePG9pphXBRAoTBrFIAxfD6/pqYmPz//o48+qqmpycjIYLPZz7VpbGy0tLSsrq7Oy8tzcHBgJCdA94YeIQBjtLW1e/bs6enpuWnTpqysrMzMzBfbxMfHV1dXe3h4oAoCKAgKIQADRCJR67LX0NDQXkvx0Y8YFwVQHAyNAjAgJSVlzJgxH330UWBgYElJyZdffqmvr8/lcl8cGq2qqjp16pSPj4+joyMjUQG6PRRCAGYkJCR8++23169fNzAwCAgIWLNmjYWFBdOhADQRCiEAAGg0PCMEAACNhkIIAAAaDYUQAAA0GgohAABoNBRCAADQaCiEAACg0VAIAQBAo6EQAgCARvt/MODASiYjWpMAAADKelRYdHJka2l0UEtMIHJka2l0IDIwMjIuMDkuMwAAeJx7v2/tPQYg4GWAAEYg5gBidiBuYGRQ0QAL6oCEtdgZEoAUEyMbmGaG0ozMEJqJiY0BpJqZBVUXB0SUiRtoNiMTAxMzAxMLAwsrAysbAys7B5MIg3gW1F4w4Lg208ghZOFiexCHeaKogxKb9D4Qe5l5vL1K/Ccwe7PGNbtHMz/vB7HPHuXbNy1NCaz+TdzZ/VIf59uB2Hsz1Q9EH98KFvfcwXzgEms/WL0YADKkJxr+4Bi5AAABIHpUWHRNT0wgcmRraXQgMjAyMi4wOS4zAAB4nH2SS27EIAyG9zmFLzDILwwsushjVFXtJNI0nTt03/urZqqUjJTWYAmbD4x/0UG16/T6+QW/xlPXAeA/s5QCN0HE7gJ1AcP5+WWGce2HLTMuH/P6DhmSn/DxSPbrctkyBFfgkAqaFKDAKYsRYMC7+dlb//ZEG80wOy1iJRmcMFAkKXt8AwVGz+ZERaWCmkQyH4B6B5UypwInCgWFRA/A6GCtKEXZfN9EJeUD0CpIwVA1Ft8XYsl2ACZv/cTBKGauvSsjqf3Ze4al4hizX1grECWxeHDxeZ4eNP5RfVjmqaleBzdZPQBp4pG7NolqGJsQ5G6tXXJPrSn2MO+fsi9c4+2j+Lr7Bmdeedmix1XdAAAA1HpUWHRTTUlMRVMgcmRraXQgMjAyMi4wOS4zAAB4nFWNO27DMBBEr5JSEqjF/ri7pJBKbeDkCg7iLoKMwCkM+PAW0xAp3xvMzHRah3Vc12EaX99fHgODFzRNBOwhlhYGESuRZgTKJIXSghBORaU5dZHg5pSCvaSZoKCQpKU1pChbQjBR8TgcgaFqU0IscRzMDEY55LhURsp/BnMQty0iF09jOt/27eNnv1aEr99tu7+dPy/fMB3YktN+uwBW6kCVO3CVDlK1g9bcIVf7P249s+od/PEEgKhRXNw35iAAAAAASUVORK5CYII=",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f230c60cbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:root:(1) Set labels and get connection dict \n",
      " {'atom_rings': (),\n",
      " 'bond_rings': (),\n",
      " 'index': [0, 1, 2, 3, 4, 5, 6, 7],\n",
      " 'neighbor': {'atom_type': [['N'], ['C']],\n",
      "              'bond_type': [[rdkit.Chem.rdchem.BondType.SINGLE],\n",
      "                            [rdkit.Chem.rdchem.BondType.SINGLE]],\n",
      "              'index': [[1], [5]],\n",
      "              'path': (1, 2, 4, 5)},\n",
      " 'star': {'atom_type': ['*', '*'], 'bond_type': None, 'index': [0, 6]},\n",
      " 'stereo': [],\n",
      " 'symbols': ['*', 'N', 'C', 'C', 'C', 'C', '*', 'O']}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMILES: *NC(C)CC(*)=O |$;N1;;;;N2;;$,atomProp:0.dummyLabel.*:6.dummyLabel.*|\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<rdkit.Chem.rdchem.RWMol at 0x7f226a939400>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:root:(2) Add bond between neighbors [[1], [5]]; bond type SINGLE SINGLE \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMILES: *N1C(C)CC1(*)=O |$;N1;;;;N2;;$,atomProp:0.dummyLabel.*:6.dummyLabel.*|\n"
     ]
    },
    {
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      "text/plain": [
       "<rdkit.Chem.rdchem.RWMol at 0x7f226a939400>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:root:(3) Remove stars and bonds\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMILES: CC1CC(=O)N1 |$;;;N2;;N1$|\n"
     ]
    },
    {
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      ],
      "text/plain": [
       "<rdkit.Chem.rdchem.RWMol at 0x7f226a939400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:root:(4) Canonicalize\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMILES: CC1CC(=O)N1 |$;;;N2;;N1$|\n"
     ]
    },
    {
     "data": {
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       "' fill='#000000'/>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<rdkit.Chem.rdchem.RWMol at 0x7f226a9411d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:root:Found 1 rings that contain N1 and N2 and have length 4\n",
      "DEBUG:root:Possible rings to break: [(1, 5, 3, 2)]\n",
      "DEBUG:root:Searching in ring (sorted index): [1, 2, 3, 5]\n",
      "DEBUG:root:Index 1 and 2 are in ring and connected with bond 1. Bond 1 is not in other rings. Break.\n",
      "DEBUG:root:(5) Break bond at atom idx 1 and 2. Bond type was SINGLE\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMILES: CCNC(C)=O |$;;N1;N2;;$|\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "DEBUG:root:(6) Add stars at index 1 and 2 with bond type SINGLE. Renumber atoms.\n"
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      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f22688340b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CC(=O)NC([*])C\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f22e9f366a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import logging\n",
    "# The DEBUG level visualizes the canonicalization process  \n",
    "logging.getLogger().setLevel(logging.DEBUG)\n",
    "sm = '[*]NC(C)CC([*])=O'\n",
    "display(PS(sm))\n",
    "display(PS(sm).canonicalize)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inchi string and inchi key of PSMILES string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[14:23:42] WARNING: Omitted undefined stereo\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'InChI=1S/C8H8At2/c9-6-8(10)7-4-2-1-3-5-7/h1-5,8H,6H2'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "logging.getLogger().setLevel(logging.INFO)\n",
    "ps.inchi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'PYOVDMHONBXEFX-UHFFFAOYSA-N'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ps.inchi_key"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Alternating copolymers from two PSMILES strings\n",
    "The second argument of the function alternating_copolymer specifies which how the *s are connected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:Function is experimental. Please check results carefully.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CC(C)(CCO[*])C(=O)Oc1cccc(C)c1C\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f230c611940>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ps1 = PS('C(C([*])(C([*]))C)(=O)OC1=C(C(=CC=C1)C)C')\n",
    "ps2 = PS('[*]CCO[*]')\n",
    "ps1.alternating_copolymer(ps2, [0,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:Function is experimental. Please check results carefully.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CCOC(C)(C[*])C(=O)Oc1cccc(C)c1C\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f22e8e54370>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ps1.alternating_copolymer(ps2, [0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:Function is experimental. Please check results carefully.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]OCCCC([*])(C)C(=O)Oc1cccc(C)c1C\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f226a9374c0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ps1.alternating_copolymer(ps2, [1,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:Function is experimental. Please check results carefully.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*]CCOCC([*])(C)C(=O)Oc1cccc(C)c1C\n"
     ]
    },
    {
     "data": {
      "image/png": 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HgLVr1xobG5PKRtDvv/8uEomMjY0TExO1YQZmZGS0f/9+FxeXo0eP/vDDD4MHDyadyOBgIUQ6r7S0lM/nb968OS0tTSwWv3jxQvX3vmaIxeLp06dPnjw5OztbqVQ6ODiApjrLiMViqVRaeUGrpKREKpWKRKKUlJTTp0+zWKxHjx717NmzZ8+e69ats7CwOHToUGZmZocOHb7//nu1BtNOSqWSng7u2rVLG6ogrVWrVr6+vqtXr547d+6jR48M83w1QVgIkc7z9vamH4SFheXm5mq+CgKAmZlZYGDgpUuXrKysrl69St+p/dEZ4QfWH9ZwXWJBQUFFRcUHgsnlcvoaWExMTGxs7JUrVzZv3gwAGzZsUG20ZjhOnDgRHx/ftGnTWbNmkc7yluXLl//2228PHjxYt24d3RsdaQx2lkH6QygUKhQKPp+v7g+qsqqwuLhYJpPRyw6lUindVk0qld66dSs6OrpVq1bNmjWTSqX0bWQymUwoFJaVlX24gNUcfUGLz+ez2Wwul8vj8dhstoWFBZfL5XA4lpaWDx8+FAqFMTExFEXNmTPn4MGD3bp1i4mJ0baNFzSgoqKibdu26enpR48erbIRlYalpaUtX7780KFDqp3t7t+/7+rqymAw7t27R2rxs2HCQogMiwYmYap4PF5paen7Xn13neFH1yVWObJevXomJiY1SeLn57d+/Xomk6lQKCIjIwcNGlTDP4I+OXjw4Ny5c1u3bp2UlKTaukUgEGi4AffYsWN///338ePHnzlzRnV80aJFe/bs6datW3R0tDZ0gDMQWAiRvikvL/f19Q0NDVUoFE2bNqULGN3Lo24nYZWrCnk8HofDMTc3r1x2aGZmxmaznzx5Ehoa2rt3b3o7ePoADofD4/HoA+okzAeIRCITExN6RYxMJmvfvn16erqjo2N6erq6P1oLSaXSVq1aZWdnh4eHjxs3rnI8Pj7e1dXVy8srKChIY2FevHjRoUMHoVB4/vx5Nze3ynGRSOTs7JyZmbl792697/ijPbAQIn2zevXqD1xi+cCsq84nYX/88cfo0aNHjRr1xx9/1N2fr0YqKirGjRtnamqam5s7ffr0mTNnAsCNGzcGDBhgYmLy4MGDtvq4E/2Hbd++fenSpV26dLl//77qaeGRI0deuHBhyZIl27dv12Se3bt3e3t729vbJyUlqTb3uXTp0rBhw7hcbkJCQvPmzTUZyXBRCOmR8vJyR0dHABg2bNiePXtu376dlpb27NkzuseVhsNcuXIFAAYNGqThz6UoKj4+fsCAARRFZWVlde7cuXLc3d0dAPr166dUKjWfiiChUNigQQMAuHTpkuo4fa3U3Nw8Ly9Pw5EUCoWrqysAeHl5VXmJ3jn5m2++0XAkg4WFEOkVukkV3TSLdBbqzp07AODq6qr5j5ZIJM7OzmvXrl25cuX+/fsrx4uLi+3s7AAgODhY86kIojvM9e7du8o4vR2Hv78/kVSPHj0yNjY2MjK6ffu26vjLly/pa5anT58mEszQGOL6aaSvpFIpvQn7+vXrteHeAILbMJWVldnb25uZmV2/fr2goKBy3NLScufOnQCwbNkyw+nyLBAIdu3aBQB0J4FKV65ciYqK4vP5lXfgaJizs/PSpUuVSqWnp6fqBWxbW9stW7YAgJeXl0AgIJLNsJCuxAjVGfoOua5du2rJeb8nT54AQIsWLTT/0Xv27Fm9ejVFUQqFonHjxgKBQPXVUaNGAcD48eM1H4yI5cuXA8DXX39dZZzejiMoKIhIKppUKm3Tpg0AbNiwQXVcqVTSs9VZs2aRymY4sBAiPVFaWlq/fn0A+Oeff0hneSM3NxcAbG1tNf/RN2/e7N69e1xc3O+//+7i4iKXy1Vfff78Ob064/z585rPpmG5ublmZmYMBoO+k7LSuXPnAKBRo0YikYhUNtq1a9cYDAabzU5JSVEdT0tL43A4DAYjMjKSVDYDgYUQ6Ql/f38A6Nu3L+kg/ykpKQEACwsLIp9+69Ytf3//PXv2FBQUvPvq7t27AcDOzq64uFjz2TRp/vz5ADB27FjVQYVCQW/HsW/fPlLBVM2YMQMA+vfvX+VkBt0NrlWrVhKJhFQ2Q4CFEOmD/Px8Ho8HANevXyed5T9yuRwAmEwm6SDVqFyyuHDhQtJZ1OjZs2dsNpvJZCYlJamO//LLLwDQtGlTqVRKKpuqwsLChg0bAkBoaKjqeEVFBV2w6RPdSE2wECJ98OOPPwLA8OHDSQepir5rXju/zr9vyaI+ofeZmjZtmupgRUUF3ZA2LCyMTKzqnDhxAgCsra1fvXqlOn737l0mk8lisR48eEAqm97DQoh0XuVFoH///Zd0lqqsra0BoNqTk9rAx8cHAJydncvLy0lnqXtpaWksFsvY2Dg9PV11/NChQwDQunXriooKUtmqNXLkSAD4/vvvq4zTZ3e7d+9e5VovqitYCJHO8/T0BIAJEyaQDlINe3t7AHj+/DnpINV735JF/TB+/HgAmDdvnuqgRCKh/6OcOXOGVLD3ef78ubm5OQD8+eefquOlpaV05r1795LKpt+wECLdlpmZaWJiwmQyk5OTSWepBl1mtDMbLSoqys7CIn7gQCotjXSWuhQfH29kZMThcLKyslTH6T5qHTt21IaWC+/asWMHADg4OAiFQtXxixcv0guvXrx4QSqbHsNCiHTblClTAGDmzJmkg1Svc+fOABAbG0s6yIdI58+nAKgvv6S04/7LOvHNN98AwLJly1QHKxut/fXXX6SCfZhCoaDvbvT29q7y0tixYwFg2LBhRILpNyyESIclJiYymUwTE5OMjAzSWarXt29fbVvLWo3CQqphQwqAenvJou66desWALzbQTQwMBCqa7SmVeLj4+lFTHfu3FEdr+y7Fh4eTiqbviLfhgqhWvPz81MoFB4eHlrbpP+jm9RrBWtr2LkTAGDZMsjLI52mDvj6+gLA0qVL6fkfrbi4mG4vV6XRmrbp2LHj4sWLq+27RncQXLhwIfZdq2OkKzFCtRQbG8tgMExNTbOzs0lneS/6dJZufIUfOZICoN5ZsqhzLl++DAA2NjYlJSWq4ytWrACAoUOHkgpWc2KxuGXLlvBO+7fKvmtz5swhlU0v4YwQ6Sqb7dsn9eq12Nu7cePGpLO8l27MCGn79oG5OZw6BX/+STpK7VEUtWbNGgBYuXIl3WOB9urVq3379jEYDHobCi1namoaEhJCp3369GnlOIPBOHDgAIfDCQkJiYqKIphQz2AhRLrp1q1mJ08eT0zcsHQp6SgfokuF0MEBAgMBABYuhLIyslmuXr369ddf071vKioq9u3b5+TkVJMd5M+dOxcTE9OoUaN58+apjm/YsEEkEo0ZM6ZHjx7qCl2nBgwYMGXKFIlEMnv2bEpl+/TWrVuvXLmSoqi5c+dKpVKCCfUJFkKkm3x9AQCWLgVra9JRPkSXCiEALFoErq7w4gX4+ZENYmZmduDAgfLycgAwMjJq06bNsmXL6KcfoFQq6Qmfn58fvQcW7fnz5yEhIUZGRvRkUVfs2LGjQYMG165dO3bsmOq4j49P+/btHz9+TF8yRJ8PCyHSQX/9BdevQ716sGgR6SgfoWOF0MgIDh4EY2PYsweiowkGcXV1tbGxoR8zmczBgwcbGxt/9F2//PLLo0ePmjVrNmvWLNXxtWvXymSyyZMnd+zYUS1x1cPGxoa+63HJkiWvX7+uHDcxMQkNDTUyMgoKCkpKSiIXUH9gIUS6hqLezFdWrQILC9JpPoKel4jFYtJBaqxjR1i8GJRK8PAAlSWL2q+iooK+OyIwMNDExKRy/PHjx8ePHzc2Nqb3J9EtkydPHjFiRFFR0ZIlS1THe/To4eHhUV5ePmvWLKVSSSqe3sBCiHRNeDj8+y/Y2YGnJ+koH6djM0JaQAC0bAkJCbBjB+kon+Dw4cPp6elOTk4TJ05UHff19ZXL5e7u7i1atCCV7XPs27fP3Nz8119/vXDhgup4UFBQkyZNYmJiDh48SCqb3sBCiHSKQgEBAQAAa9aAqSnhMDWgk4XQ1BRCQoDBgLVrQWXJoiY9e/bs2rVrQqEwMjKyoqLi3r17ycnJGRkZsbGx1R4vlUo3btwIABs3bmSxWJXjjx49Onv2LIfDWbVqlYai17WmTZvSlzYXLFhQprKIicfjHThwAAB8fHyys7OJ5dMLWAiRTjl2DFJSoGVLmDGDdJQa0clCCAADBsCUKSCRwOzZoLJkUWNevXqVkpIya9asuLg4uVyemppqbW3dtm3btLS0ao/ft29fdnZ2ly5dxowZozru4+OjVCoXLFjQpEkTjQRXi8WLF3fp0uX58+cB9LfA/xkxYsSYMWNKS0s9deHsiFYjfB8jQjUnk1GOjhQA9euvpKPUFN0r+ZtvviEd5NMVFFANGlAA1NGjpKN8RGUH0cuXL6uOv6/Rmi56+PChsbExk8ms0rc2NzeXz+cDwNmzZ0ll0wM4I0S6IzgYMjKgQwf4/nvSUWpKV2eEAGBjA9u3AwAsWQIqSxa10LZt216/ft2nT5+hQ4eqjvv5+QHAjz/+qNpoTUe5uLgsWrRIoVDMnDlTte9ao0aN6HPCCxYsKC4uVn1LQkJCSkqK6khsbOylS5c0E1jHkK7ECNWMWEw1bkwBUOfPk47yCe7fvw8AXbp0IR2ktoYOpVgs6tQp0jneq6CggO4gc+3aNdXxv//+G6prtKa7RCIRvd5n69atquMKhaJPnz4AMGPGDHpELpdPmDChW7duqptv5OTk9OrVq1WrVhoNrSOwECIdERREAVBdu+rWVkHJyckA0KZNG9JBaiszk3rwgHSID1m2bBlUtzkR3UFmy5YtRFKpydWrVxkMhpmZ2dOnT1XHU1NT6SVCP/30Ez0il8vPnj2rWgi//fbbqKgoLITVwlOjSBeUlMDWrQAAmzYBg0E6zSegT43q0n2EVTRrBp06vXn86hWcOAHbtsHOnXD+PJSWEk0GAPDy5cuffvqJwWBUWUXy+++/043W5s+fTyiaWgwcOHDSpElisbhK3zUnJ6fevXsDAP21AACYTKbqG3/77TcbG5sBAwZoMKwuYX38EISI274dCguhb18YPJh0lE9D31Cvk9cIVZWXw5IlcOgQyOX/DVpYQEAAvH2jt4atX79eLBaPHz++W7dulYPva7SmH3bt2hUTE+Pm5kZRFEPlS+GSJUuuX78ulUoVCkWVKigQCPz9/SMiIgQCgUKhEIlE9Pcz9B/SU1KEPiY/n7KwoACo27dJR/lk9FyQw+GQDvJ5xo6lAKjRo6kHDyiFgpLJqMhIqlMnCoBat45UqMzMTBMTEyaTmZycrDpOd+Zs1qyZTCYjlU2t5HL5u4P0tk1OTk6VI5WnRm/evDn+f8zNzffu3au5rDoCCyHSekuWUADUyJGkc9SGUqmkv55X+8tLN5w/TwFQo0ZVvTpbUkK1aEGxWFRGBpFcU6dOBYDp06erDpaXl9MrSn7++WciqYhISEgwMjJiMpm3bt2iR0JCQsaMGdO9e/ddu3ZVHqZUKvEaYbXw1CjSekIhsFiwbh3pHLVBbx1cVlYmFosttL4zavWOHAEAWLeu6tVZHg98fMDdHY4dg1rv6lBRISkryxcKZTJZaWmpWCyWyWQCgUAqlUokkpKSEplMVlZWJlQ5QCqVFhcXi0SizMxMY2PjKhtKFBQUODg4sNnsSZMm1TKSDvL19VUqld7e3vSVQgAYPnw4vYWvattVBoNx9epVMhG1G4Mi0TYCaQOlUrlu3borV65wudxNmzZ17tyZdKL3y8kBLd5998NsbW3z8vJevnxpa2tLOkutNGwISiXk51fz0vPn0KwZfP01XLoECQmQmQkyGQgEIJWCRAIlJSCTQVkZlJWBVAqlpSAWVz1AqfTv33/d9eu1yGVtbS0Wi1NTU5s2bVrlpaKiImvt3p+rDsXGxnbv3t3MzCw9Pb1hw4ak4+gknBEaruzsbBaLdePGjbi4uAULFty5c4d0IoDycoiIgNu3IWnI6dYAABvqSURBVD8fLCygQwcYMwYaNdLdKgg6fU89AMjlkJ8P79u9qEkTYDAgNxcAYMsW+OWXT/75LJaNqWmTJk3YbDafzzc1NeVwOHw+n81mc7lcHo/HZrMtLCy4XC6Hw7G0tFQ9wM/P748//vD09Hz3JnHDqYIA4OPjQ1GUt7c3VsFawxkhgsLCwgEDBiQkJBDO8eABjBsHGRlgaQkODlBYCLm5YGoKQUHg5UU422fo2LFjQkJCfHy8bm2G90Z5ObDZ8MUX8O+/1bxKUcBiQdu2kJgIO3dCVBSYmgKfD2w2cLlgYQEcDlhYAJcLbDbw+WBqChzOfwfwePD2+sZPUlBQ0LZt24KCgpMnT36vO82G6taNGzf69+/P5/PT09MNqvzXLZwRItixYwf5CypZWTB4MMhkcOwYTJwI9AYCsbEwfTosWgSWljBtGuGEtaXbM0ITE+DxoKCg+lfz80GphPr1AQAWL4bFizUZrV69ekFBQe7u7gsXLhw8eHC9evU0+elaYuXKlQCwfPlyrIKfA2+oN3T79+9PTU1dunQp4Rz+/lBUBCEhMGUKVG6j07Ur/PMPWFrCsmUglRLNV3u6XQgBoFMnyMp6c/6zipgYAIAvvtBwokozZ84cNGhQQUHBihUrSGUgKCIiIjo6un79+gsWLCCdRbdhITRcMpnMw8Pj3r17Bw8eFAqFJKNUVMCZM+DgABMmVH3Jzg6mToX8fPjnHxLJ6oDON5cZNw4AYP/+al7atw8AqvmvpikMBuPAgQOmpqZhYWGRkZGkYhBBUZS/vz8A+Pr66uqCZK2BhdBw3b9/XyAQiMXi+fPne3h4KJVKYlFSU0EsBldXMKruL2TfvgAAcXEaDlVXdL65zKxZ4OQEW7ZAaOh/exPKZPDjj/DPPzB2LPToQTBdq1atfH19KYqaN2+eRCIhmETDTp8+/fDhQwcHBw8PD9JZdB5eIzRcffr0oZvW15nKNfFSKYhEIBSCVApCIYhEIJVCSQlIJCCVQnExSKUgFkNpKUilcPjwm6X571vzRt91oN07AX2Azp8aNTODCxdg2DBwd4cNG8DFBeRyuHsXCgpgyJA3dxkStXz58vDw8IcPH65fv37Dhg2k42iCQqGg28j5+/uz2WzScXQeFkL0H6FQeOXKFTs7u7KysrKyMqlUWvN7nAUyGdTu+3hR0ZuJ4PsWMNPjLK3+u5qUlOTt7U0/Li0tvXLlCr03EOhBIQSAli0hIQGOHYPLlyEnB5hM+OYbGDsWRo3Shh7oLBbr0KFDvXr12rJly7hx474gd81SY44ePZqamtqqVatpOruITKto9S8XpEmPHz/u1atXYWFh7d6utLExUijerIlns8HCAszNgc0GS0swMwM2G6ysgM0GMzOwtAQ2G8zNwcIC2Gxo1w6ysgCg+uUYAJCTAwCg3Xurtm/f/sqVKwCQk5MzYcKEyioI+lEIAYDNhtmzYfZs0jmq171793nz5u3du9fDwyM6Opr5GXdlaL/y8nJ64hsYGMjS7i+IugL/JaI3Jk2aVFhYyGQyu3btSt/C/NF7nFUPYPD5tZ8ctG4NPB7cuQMKRTU3lt24AQBkL0TV3K5duxa/fReBnhRCrbdp06aIiIj79+//9NNPXrp84+lHHThwIDMz09nZ+bvvviOdRV8Q7XSKtEVubi79JfrEiRNkEnh6UgBUWFjV8RcvKAsLyt6eqqggkOoTlZaWdurUqUp/bYFA8Pz5c7FYTCqV4bh48SIAcLncDEJ9wDWgrKyM7iATERFBOov+wFWjCAAgMDBQoVAMHz584sSJZBIEBECDBjB3LoSGQkXFm8GYGBg6FMrKYNcuLb9GSAsJCZkxY0aV83J8Pt/BwcHU1JRUqk8ik8mOHDmyc+dO+mlJSYmPj8+sWbOu16odqIYNGzZs/PjxIpFIz/bjVbV79+68vLzu3bsPHz6cdBb9gS3WEDx79szJyUmhUCQkJLRt25ZYjqQkGDsW0tKAxwN7eygqgpcvwcIC9uyB6dOJpaoxhULRvXv369evm5ubk85SewEBAQwG4/r161FRUQAwatSo0aNH9+3bd8yYMX/++aejoyPpgB/x6tWrdu3aCQSC06dP69+Zw+Li4hYtWhQVFV29epXeXALVCZwRIvDz8ysvL582bRrJKggA7dtDYiKcPw+zZ0PnzvDtt3DwIKSn60QVBIDk5OTZs2frdBUEgICAgBkzZtCPy8rKEhMTZ86c2apVq6lTp547d45stpqwtbXdvHkzACxatEggEJCOU8e2bt1aVFQ0ePBgrIJ1SwdONyG1SkpKOnnypImJia+vL+ksACwWuLmBmxvpHLXh7Ozs7OxMOkVdysvLa9SoEf24cePGDx48IJunhtzd3U+dOhUVFbV8+fKQkBDScepMfn7+3r17AWCdbu7Nqc1wRmjo/Pz8FAqFh4dH8+bNSWdB2oXP55eUlNCPi4uLraysyOapIbrvGofDCQ0N1ad9aDds2CAUCt3c3Hr27Ek6i77BQmjQ4uLizp8/z+VyV61aRTrLx2VmZu7YsSM0NLSsrIx0FoNgY2NjYmKSlJSkVCrPnTunQ6fjWrduvWrVKoqi5s6dK9XZdu2qcnJygoODjYyM6IYyqG5hITRo9C8LLy8v7d88vaCgYOrUqc2bNy8oKCC/aZT+Onz48LRp016/fj1kyBC5XH7kyBEvL6+BAwcOGjTI1dWVdLpP4OPj4+Li8uTJE/1ouhYQECCRSCZOnOji4kI6ix7CVaOG6+bNm/369bO0tMzIyNCJzczkcjmLxXrx4sWoUaMePnxIOg7SdjExMb169TIyMrp//36nTp1Ix6m9J0+etGvXjqKopKQkJycn0nH0EM4IDRe9Ombp0qU6UQUBgMVieXp6Dho0aM+ePaSzIB3Qo0cPT09PuVzu4eGhUChIx6m9NWvWyOXyWbNmYRVUE5wRGqiLFy+OGDGiXr16GRkZOrSZWUVFRXR0tLe397///ks6C9IBpaWl7du3z87O3rdvn47eZZ+QkNCpUycTE5PHjx/b29uTjqOfcEZoiCiK8vPzA4DVq1frShVUKBSZmZnGxsaurq7Z2dkkd09EuoPH4x08eBAAfHx8suje7rpm9erVSqVy7ty5WAXVB2eEhujMmTMTJkyws7N7+vSprrT+ev369aRJkxo0aPDixQs3N7elS5eSToR0xrhx486ePTts2DC6GakOuX//fo8ePbhc7tOnTxu+b8NO9NmwEBochULh7OyckpISHBw8W1t31Xmf/Px8c3NzXSneSEtU9l377bffxo4dSzrOJxg0aFBUVJSvry/eRK9WWAgNTlhY2MyZM1u2bJmcnGxsbEw6DkKacOjQIU9PT1tb2+TkZF3pDHD16tXBgwfz+fyMjAxdyayj8BqhYSkvL1+/fj0ArF27FqsgMhxz5szp06fPq1evfHx8SGepKfpC/ooVK7AKqhvOCA3L3r17vby8OnToEB8fb2SEX4OQAUlLS+vUqZNMJouMjNT+Ljl//vmnm5tb/fr1MzIydL2Tu/bDX4UGRCKR0I35N2zYgFUQGRonJ6eVK1fqRN81pVK5Zs0aAPDz88MqqAE4IzQgQUFBPj4+3bp1i4mJYTAYpOMgpGnl5eVffPFFcnKyv79/HTbtVCqVJSUlEolEKpUKBAKZTCYWi0tKSmQyWVlZWVlZmVQqLS0tFYvFMplMIBBIpVKJREIf0Lt37/3791f5gSdOnJg0aVLTpk3T0tLYbHZd5UTvg4XQUJSUlDg6OhYVFUVGRg4aNIh0HITIuHv3bu/evVks1r///tu+ffsqr4pEouvXr4tEIqFQKJVKhUKhSCSSSqWVda64uFgqlYrF4tLSUplMJhQKy8rKKioqap3n66+/vnTpkuqIQqFo3759WlrakSNHKveGRGqF+xEaim3bthUVFfXr1w+rIDJkPXv2nDNnzsGDB2fNmnXnzp0q1whev349fPjwT/2ZDAaDz+dzOBxTU1NLS0sOh8Plci0sLNhsNo/H43K5bDa78gA+n89ms7lcLo/HY7PZDRo0qPLTjhw5kpaW1rp16ylTpnzWHxXVGM4IDUJBQYGjo6NQKLxz545u7SGAUJ0rLS1t165dTk7O/v37586dq/pSUVHR5MmTzc3Nzc3N2Wy2paWlmZkZm822srJis9lmZmaWlpZsNps+gMPh8Hg8+oC6yiaVSlu3bp2VlXX69OnvvvvufcdwOBz6sUAgoB9wuVwTE5O6imFwKGQAFi9eDAAjR44kHQQhrXD27FkA4PF4WVlZpLO8ZefOnQDg7OysUCjefTUvL2/BggX16tW7cOECRVEikah+/frjx48fP358bGysxsPqDzw1qv9yc3MPHjzIYDACAwNJZ0FIK3z77bdjxow5d+7c3LlzIyIiSMd5QyQSBQUFAcCmTZuqXddtbGy8aNEiJpNJP83Nze3bt++ZM2c0mlIf4Rp6/bd27VqJRPL999/r9JZsCNWtn376ic/nX7hw4dy5c2STSCQSgUCQmZnp5+eXl5fXq1ev912ntLKyatmyZeXTV69evXz5cvHixfv379fpfaaIw2uEeu7p06ft2rVTKpWJiYlt2rQhHQchLbJ///758+c3atQoOTmZz+fX4ifQS0npSkY/qPL0Aw/ofxYWFpaXl9M/jc1my+XyP//8c9iwYR/4UG9v7yFDhgwfPlwsFj948KB58+Zbt261srLy9/evzb8FhKtG9d6aNWsqKirc3d2xCiJUhaen58mTJ2/dujVr1ix3d/eP3vNXVlYmFAplMlnlAXUSo3K5qUAgKCkpuXz58ocLYSUzM7PevXsDwMSJE+vwtkgDhDNCfZaYmOji4sJisVJTU5s3b046DkJaJzk52cXFxdLSsrCwsBZvp2sYh8OxsrKiH1R5+u6DKk9tbGwqF50mJCR06dJFoVDcvHmzV69e1X7ib7/9FhYW1rFjxwkTJjx+/DguLq5///4//fTTmDFj3N3da/8vwrDhjPAzPH8Ojx7BixcgEgFFAZcLzZuDszM4OJBO9oavry+9pSdWQYSqlZGRIZfLy8vLv/rqK0tLyw/f82dhYcHlcjkcjqWlJV3G6jaMs7Pz0qVLN23a5OnpGRcXV21b/OLiYjc3NwAQi8Xjx483NTVNTU318fHp06dP3YYxKDgjrJXcXDh3DkpL4X8n999gMMDYGPh8GDMGbG0JhXsjNja2e/fuZmZm6enpuKUnQu+iKKpz584PHz7cvXu3l5cX6TgAADKZrFOnTqmpqRs2bFi1ahXpOIYCC+Gni4uDy5dBLgeKgvd17DQ2hmHDgOgqzSFDhkRGRq5evZredwkhVMWpU6cmTpzo4ODw+PFj7Wnpef369S+//NLExOThw4d4aV8z8PaJT/TwIfz9N8jlAPDeKggAFRXw11+QkKCxXFXcuHEjMjKSz+cvWbKEVAaEtJlCoaAXmPj7+2tPFQSA/v37T58+XSaTeXp64kRFM7AQfoqiIvjrL6hhg92KCoiIgOJiNWeq3sqVKwFg2bJl1tbWRAIgpOXCwsJSU1NbtWo1bdo00lmq2rZtW8OGDa9fvx4WFkY6i0HAQvgpLl16MxesIbkcLl9WW5r3ioiIiI6Orl+//sKFCzX/6Qhpv/Ly8o0bNwJAYGAgi6V1awatra3pXmvLli3Ly8sjHUf/YSGssdJSePYMqjtT8ayk5EVpaTVvoShITweRSO3Z3vpMir6v1tfX18LCQpMfjZCuOHDgQGZmprOz8/saWxM3ceLEkSNHFhUVeXt7k86i/7AQ1tiTJ++7KLj34cPQxMTq32VkBE+fqjHVO06fPv3w4UMHBwcPDw9Nfi5CukIkEm3atAkANm7cWG1LTy2xb98+c3PzU6dOaU83VH2lvX8JtE5OzrtXB9dGR8fl5TlYWDS3tLz/6tX22Niq7yovh5wcDSUEkMvl2nn9HyHtsXv37ry8vO7du9di60FNcnBwoBvlL1iwoKysjHQcfaZ1J8e11zsnPxVKpVShWH37dolMZmxkZM3hdKxfn6IoRpWJo1CosYzu7u6pqan29vZaeP0fIW1QXFy8fft2ANi0aVPV/1UBAKC0tPTIkSOtW7ceNmzYjRs3fv31V3qcz+dv3rxZo1kBFi1aFB4eHh0d7efnR181ROqAhbAaFRUVSUlJtra2tqo3xb/T5YFpZLSpT5+MkpKVN2+WVVT8NGhQY3Pzan5cHV2KLy0tlUqlH2iHmJaWdvz4cQAYPXq0Fl7/R0gbbN26taioaPDgwQMHDnz3VblcTl+Te/369bBhwzp16tSkSRMASEpKOnTokKazAhgZGR08eLBr16579uz57rvvcFdtNcEb6qsSCoWDBw92dXWNiYlZuHDhDz/88OaFqCi4fRuUStWDn5WUfBsREdS3b5ZQeDQp6Q83N+sqXZeMjCp69xZ36SIUCsvLy8vKyujqRVe1ygcSiaSsrEwmk4lEopKSkvz8/JKSEro/vUAgkMlkYrG4hvmtrKxev36NhRChd+Xn57do0UIoFEZHR/fs2fN9h4WHhz948IBeVkqbNWvW5MmTv/zyS43ErGrFihVbtmzp2LFjbGxstX3X0GfCX5dVnThx4ssvvwwKCsrPz+/du/d/hbBZM7h3D97uN1/fzMy9Q4evmjYtVygqFAqeiQkAnElL2/nvv1KFQiqXl5aXUwcOfFIAU1PTjIyMd8ctLCzYbDaPx3tfO0SFQvHy5cu9e/diFUSoWhs2bBAKhaNHj/5AFXzX69evExMTBwwYoLZcHxEQEPD7778/evRox44dK1asIBVDj+FvzKoSEhLo733169cHAKFQ+OYmhGbN4J0FZlxj43mdOgGACZPp6eJCD4oqKp6rXFA0NjY2MzOjq5eFhYWpqamJiQldvTgcDo/HMzEx4XK59AHm5uZsNpvJZFbWOUtLSw6Hw+VyNfKnR0hv5eTkBAcHGxkZBQQEfNIb9+zZ4+XlVe0FRc0wNTUNCQkZOHDg2rVrx44dq7o3L6oTWAiroiiqckW1kZGRsvJcqJERDBgAV69WbbT9DreWLQc6OLCZTFMzM4sRI4y6dlVr4PeJjo7m8/lt27Yl8ukIaZs1a9ZIJJJJkya5/O87a02IxeILFy4Q3/N2wIABU6ZMOXbs2OzZs6OioghWZb2Et09U1bp168TERACgr+pZWlr+91q3bmBjA0zmh3+CNYfTlMez5fEsHRyMunRRa9pqyWSyb7/9dsmSJadOndL8pyOkhZ48efLzzz+zWCw/P78PH/njjz9u3rz5/Pnz8+bNA4Dw8PCpU6eamJhoJOaH7Nixo0GDBteuXTt27BjpLPoGF8tUVVBQMHDgwBkzZkRFRX311VdVu5SJxRASAkIhKBQf+iksFvB44O4OpqZqTfs+FEWdPHkyLS0N961GCAAmTpx46tSpOXPmEFn8WVd++eWXKVOmWFtbp6SkNGjQgHQc/YGFsBpFRUU3btywt7fvUu18TiqF8HDIynpv920TE3BwgHHjgOgt7SdOnMBCiBAAJCQkdOrUycTE5PHjx/b29qTjfJaRI0deuHBh0qRJv/zyC+ks+gNPjVbD2tp69OjR1VdBAOBwYMoUGDcObG2ByQQOB4yNwdgY2GxgsaBRIxg/HiZNIlsFEUKVVq9erVQq582bp+tVEP7Xd+3XX3+9cOEC6Sz6A2eEn0ckgtzcN71jeDywswMzM9KZ3sAZIUIAcO/evZ49e3K53PT0dP04nbht27Zly5Y1bdo0MTHRvNomHugTMT91JTF6i4kJ2NhAo0bQqBFYW7/bfYaULVu2hIeHP3r0SCAQ9OnTh3QchIiZOnVqZmbmihUrRowYQTpL3ejRo8fFixdTUlLKy8u/+uor0nH0Ac4I9VNubq5UKgUANpvduHFj0nEQIiMyMnLIkCF8Pj8jI8PKyop0nDoTHx/frVs3pVIZExPz3os4qMbwGqF+srOzc3R0dHR0xCqIDBl9s8TKlSv1qQoCgIuLy6JFixQKxcyZMyvet2oP1RjOCBFC+umPP/4YPXq0ra3t06dP9a83k1gs7tixY3p6+tatW5cuXUo6jm7DGSFCSA8plco1a9YAwOrVq/WvCgKAmZlZcHAwg8FYs2ZNeno66Ti6DQshQkgPnTp1Kj4+vmnTprNnzyadRV0GDhw4adIksVg8e/ZsPLf3OfDUKEJI3ygUivbt26elpR05cmTGjBmk46hRYWFh27Zt8/Pzjx8/PnnyZNJxdBXOCBFC+iY0NDQtLa1169ZTpkwhnUW9bGxstm3bBgDe3t6vX78mHUdXYSFECOkVqVS6fv16AFi/fr0h7M05derUIUOGFBYWLlu2jHQWXYWFECGkVw4cOJCVldWxY8exY8eSzqIhwcHBXC732LFj//zzD+ksOgkLIUJIf5SVlW3evBkANm3aZPTOTtr6qlmzZvSOiR4eHiKRiHQc3WMof1EQQoZg165deXl5vXv3HjZsGOksGrVkyZLOnTs/e/YsMDCQdBbdg6tGEUJ6ori42NHRUSAQREVFffnll6TjaFpsbGzPnj0ZDEZMTEznzp1Jx9ElOCNECGk7mUx29uzZ/Px8+mlcXNy+ffsuXbpU5Xv85s2bBQLBV199ZYBVEAC6du3q5eUll8tnzpwpl8tJx9ElWAgRQlotPj5+3Lhxfn5+ycnJAHDnzp0FCxY4OTmdOnVq586dlYfl5+fv27cPAAz53OD69esdHR3j4+P37NlDOosuwUKIENJqLi4uERERrq6u9NNnz561adNmyJAhw4YNy8rKqjxs3bp1ZWVl3377bY8ePQglJc/MzIz+NuDv7//8+XPScXSG/t9kgxDSJ25ubhs3buzbt69UKr148SI9+Pz58+DgYCMjI7q/qCH75ptvZs6c2bJlSzs7O9JZdAbOCBFCuuTUqVN9+vQ5ceJEz549V65cSQ+uXbtWJpNNmjSpY8eOZONpTFRUlLu7e3FxMf3077//njZt2g8//PD48ePQ0FAfHx9jrdknXPvhjBAhpEtu377t5uZmb2/v7+9Pny99/Pjx8ePHjY2NDWc6+Pfff9+7d+/u3bsikYjP50dFRW3cuPH48eMKhaJhw4ak0+keLIQIIa1WUVGxYMGC27dv5+fnFxcXu7u7L1y4MDo6+u7du/Rd5GvXrpXL5Z6eni1atCAdVkOGDh06dOjQyMhI+mlISIivr69EImnSpImZmRnZbLoI7yNECGk1iqIyMzPpx3w+39raWiaTPXv2zN7env6ln5WVtWHDBj8/v8aNGxNNqmn9+/c/ceJE48aNXV1dLS0tnZycrl27FhwcbMjLhWoHZ4QIIa3GYDAcHR1VR9hstpOTU+VTe3v7gwcPajyXFjEzM9uxY0e7du0iIiIOHz6MhfBT4WIZhBDSba6urpcuXQKAuLi4+vXrk46je/DUKEII6ZjMzMw5c+bk5uY2aNBg5cqVPXv2XLBgQUZGhr29fXBwMI/HIx1Qx2AhRAghZNDw1ChCCCGDhoUQIYSQQcNCiBBCyKBhIUQIIWTQsBAihBAyaFgIEUIIGTQshAghhAwaFkKEEEIG7f8Be6nueVmCIk8AAAF0elRYdHJka2l0UEtMIHJka2l0IDIwMjIuMDkuMwAAeJx7v2/tPQYg4GWAAEYgFobiBkYGFQ2woA5IWIuNIQFIMTHBaA4GBRCNEAZxWbDpYWRmYwCJMrNwQGgmGM3mABFnc8gA0cyM2BhQJTCj0PjcQEczMjEwMQPFGFhYGVjZGFjZGVg5GDg4NZg4uBS4uBW4eTKYeHgTePkymPj4E/gFGPgFM5gEhRgEuRNEGNm4Bfn5eHnE30G9DwbCT4s+HJglfGM/iPOn9sCBS6/Pg9k97qsO3Lk7bR+I7ba05EBJbQ6YnW7hcWDNkh57EFtr7oX9pWemgNmfjtzYzxOg5QBiJ5ae2L9bZg1YvZEP2z7bL3PAaooUBOx9piiD1exN0LGfz6W8FxyGTNwOT+8ctgGxH+aZO5xzXgtWH7mm22F69lYw+1LWUgfVH1J2IHaySb9D2NVpYHfe+bTC4UuBzAEQ+3OdnYP833lgcREhIYe9M1TA4mIAuwNegvnAs8IAAAHuelRYdE1PTCByZGtpdCAyMDIyLjA5LjMAAHicfZRLbhsxDIb3PoUuMIJ+PiRx0YUfQVC0sYHUzR2y7/1RUoEzCqB2ZkSMiM8cPn75kOJ6vfx4/5M+L7ocDimV/zxmlt64lHJ4SfGSTk/P36/pfD+eHp7z7ff1/ivB4ilxf2WP99vLw4P0mraWFVJI04Zcey/WU8llXP7rt+PPb3jwlM5pq7lAudngSbjLxD9IDlIzE4glbSWTSa1YkJJuaePcibT3QXIxaQtSIyZnUBehhOyZtqYLsAYYyVmz6iA8TSsLsEX9DhorvLrsGYLrP8vvH3G11tIpUmWu0FWqFmTJYEC9zZmoUln1yT97c7d6rqaegaoa1RWIAdbGnmvELmy9rKpHTIkyGsxGbsRWbAXyALtXPfrJypVpBYqDkrlK6y6rLGgsyyRjROr9Nhr9hoJ51R/UEVGaS28ID61zX4ZsIyT5JP2TG2URYVu2so9yrFVxCXtMEkJZjR02SOrkJUdMbXD9Lcin6+XLgfk4Qqfb9bIfobhpPyG+SbwfA/iSXevwpbug4avusoWvtosztn0XX2xtVxj5wiwkhAOTYDAMTcKQMOBJARIGMo1awkCnmcbWRzYND8O0aUgyPH0aBoaxqekyPDQ3d25l7B//ZP5++AsEqPUhU+XiOwAAAWh6VFh0U01JTEVTIHJka2l0IDIwMjIuMDkuMwAAeJxVkL2O2zAQhF8lpW1QBGd/SO4aqdQGcV7h4lwXw4fgUgS4h89SKcio0gxnhp902ffbvp8u59N+3k+fb+fbHfd4Qt6xf/o4bS0rpHDakGvvSNet5gLlfjgk8XLdNDOBIlQymdQ6Ypw7kdrhcTFphwfqIgm5WG+jOTash4HYsn+GsSJRjhnI4WitpY8h5godQyWDAY0eUaV0LZEhM42aqhoPpzYeQ5EtbL1oulJGoxSa2IoN3eOSgcPKNUqSuUqzMASNo6HBZWTRgYK5jYi0+CPj69E628hQs6ppoywifOxaG0bQCWFo6sRHQhs6pXN6eX8+vv16vnnJP34/Hn++vHx//ZkvIcfJ1+f7ay6OKeA0BTlPwS5TiOsU6vX/8TrPqrcpmvcputsU5liIEEgrExwLFcixcIEdCxnEsbBBHQsOqmMBQnMsSOgffwFDdK5tqpeSTAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<psmiles.psmiles.PolymerSmiles at 0x7f22e974e100>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ps1.alternating_copolymer(ps2, [1,1])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.4 ('.venv': poetry)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.4 (default, Apr  9 2021, 01:15:05) \n[GCC 5.4.0 20160609]"
  },
  "orig_nbformat": 3,
  "vscode": {
   "interpreter": {
    "hash": "54d820ca78318815c9dc8ccf1e32dff97b8724e3238919470d3a81a0f0b6ef41"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}