{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "31e5bf14-0da2-4664-b8b9-75d874309d5f",
   "metadata": {},
   "source": [
    "# Concatenated simulations\n",
    "\n",
    "MobsPy allows for combining simulations. In combined simulations, the results from the precedent simulations is fed to the following ones. Thus, allowing the user to make changes to the models for subsequent simulations. \n",
    "\n",
    "Here we suply an example where in the first simulation species A grows according to a rate. Afterwards, A stops growing and it must compete with a species B."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0ce38184-bd62-4d7f-b618-43974c5bff06",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Compiling model\n",
      "Compiling model\n",
      "Starting Simulator\n",
      "Running simulation in parallel\n",
      "Simulation is Over\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mobspy import *\n",
    "\n",
    "A = BaseSpecies()\n",
    "\n",
    "A >> 2*A [1]\n",
    "\n",
    "A(1)\n",
    "S1 = Simulation(A)\n",
    "S1.duration = 5\n",
    "\n",
    "A.reset_reactions()\n",
    "B = BaseSpecies()\n",
    "\n",
    "A + B >> Zero [0.01]\n",
    "\n",
    "B(50)\n",
    "S2 = Simulation (A | B)\n",
    "S2.duration = (A <= 0) | (B <= 0)\n",
    "\n",
    "S = S1 + S2\n",
    "S.method = 'stochastic'\n",
    "S.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c1c2da2-54c1-4933-8beb-b1973dc433ca",
   "metadata": {},
   "source": [
    "An important point to note is that species counts must always be defined before the creation of the simulation object. For the subsequent simulations, if a count was defined before the simulation object creation, it will override the resulting value from the previous sim. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ab943574-45f0-4d06-89a6-860fcf880c19",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Compiling model\n",
      "Compiling model\n",
      "Starting Simulator\n",
      "Running simulation in parallel\n",
      "Simulation is Over\n"
     ]
    },
    {
     "data": {
      "image/png": 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kYF3kwhKRqpqWPY38wnz6dexXpfNo+KgMeXleo7lT+YsKxptQ7z7a5pwrbi475zaopyAS2yZlTaJ1g9Z0SetSpfOo0VyGtWu9W1KTtFJ4IsRjIhIDcvfnMn/jfPp37F88Aa2yVCmU4bnnoFo1OOccvyMJq3IrBTM7BzgXaGJmd5R46TggNZKBiUjlvfLxKxS4gioPHYHXaFZP4Qc2b4ann4abboLmzf2OJqyONnx0DHBs8H11SxzfA1wTqaBEpPKmrp3KnXPv5IKWF3Bas6pPKVKlUIp//MMbOvrrX/2OJOzKTQrOuYXAQjN7wTm3KUoxiUglzVo3i2tfu5azm5/NzIEzqzx0BEoKR9i0CZ59FgYPhhYt/I4m7EJtNNcws/FAesnPOOcuikRQIlI5oxaNonXD1sy+fjZ1a9Q9+gdCoEbzD7zxBuTnw513+h1JRISaFF4D/gM8AxRELhwRqazNuzfz3pb3GH3R6LAlBFClcIRAANq0gVat/I4kIkJNCvnOuX9HNBIRqZLXsl4DoH/H/mE9rxrNJRQUwKJF0K/qDfxYFeotqTPN7LdmlmZmDYv+RDQyEamQSVmT6JrWldYNW4f1vKoUSli50ttpLYFWRf2hUCuFos1v/lzimMPbb1lEfLbh6w0s27qMB3o9EPZzm2nto2JPPgm1asHFF/sdScSElBScc4k5eCaSICasmgAQlnkJP5RiKWo0b9wI99wDkyfD0KHeTmsJKqSkYGY3lnbcOfdieMMRkYp6/sPnuW/RffRu35v0+ulhP7+Gj4Bhw2D6dG/28l/+4nc0ERVqT+HMEn/OB0YAP49QTCISooyPM7hpxk1c3PpiMq7OiMg1krrR/Nln0L+/VyHceScsWQJNKrcEebwIdfjoDyWfm1k9YGJEIhKRkI1aPIouaV2YPmB6yFtsVlRSVwrPPQdTpsAFF8Cf/uR3NFFR2Z2mDwBtwxmIiFRM5vZM1uSu4eYzbo5YQoDg5LVkrRQCATjzTFi4EBo08DuaqAi1pzATiv9WpAIdgMmRCkpEjm5S5iRSLIWrO1wd0eskbaWwb5+3B3OCzlwuS6i3pD5c4ut8YJNzbksE4hGREDjnmJQ1iR7pPSq173JFJFVSWL0aRo3yJql98423nEUCz0koTUjDR8GF8bLxVkptAByOZFAiUr7VX61m3a51YZ+9XBojSdY+cg7++Ef4739h/XrYsQN69YLzz/c7sqgKdfioH/AQsAAw4Akz+7NzbkoEYxORMrya+SqplkrfDn0jfq2kqRQWLPCWsHj8cfjDH4769kQV6vDRX4EznXPbAcysCfAOoKQgEmW7D+5m3IpxXNn+ShrXjvwkqqRpNE+eDHXrwi23+B2Jr0K9+yilKCEE7azAZ0UkjMa+P5ZvDn7DvRfcG5XrJU2lEAh4Q0U1I3cnVzwItVKYbWZzgKLZMf2BWZEJSUTKsitvF4++/yhXdbiKM9LOiMo1kyIpbN0Kn3wCv/6135H47mh7NLcBmjnn/mxmVwHd8XoK7wEvRyE+ESnh0fceZc+hPYz4yYioXTNhG83vvw8PPACFhZCb6x27SPuGHW0IaCywF8A594Zz7g7n3FC8KmFsZEMTkZJ2HNjBY0sfo1/Hfvyo2Y+idt2ErRQeewzmzIHNmyEvD/r0gdNP9zsq3x1t+CjdOffRDw8655abWXpkQhKR0jz87sPsP7yf4T8ZHtXrJmSj2Tmvh9C3L7ysQY+SjlYplNdxqRXOQESkbNv3b+eJD55g4I8GcmqTU6N67YSsFLKz4auvkm5iWiiOlhSWmdkR92eZ2c3Aiqpc2MxSzexDM3sz+Lyhmc01s3XBx+RYaETkKJxzDA8M52D+wahXCZCgPYX5871HJYUjHG34aAgw1cyu57sk0A04BqjqrJnbgbXAccHnw4B5zrn7zWxY8HliL1wuchTOOe4N3Mt/VvyH28++nXaN2kU9hoSrFAoKvB3UOnWCk7V55A+VmxScc18B55pZD6BT8PBbzrn5VbmomTUHLgdGA3cED/cGLgx+PQFv9rSSgiSNQlfImMVjeG/Le8XH9h7ey6JNi/j1Gb/m0Usf9SWuhEsKr77qDR9NmQJmfkcTc0LdTyEABMJ43bHAXXhrKRVp5pzbFrzeNjNrWtoHzWwwMBigRYsWYQxJxD+FrpDfvvVbxq0YR6emnaiRWqP4tXu638N9F91HivkzXzShGs35+TByJJx2mtdkliOEOnktbMzsCmC7c26FmV1Y0c8758YD4wG6deuWIH9TJRkVFBYwfMFwVn25ih0HdrD0i6Xc0/0eRl00Couh32DjulKYPh2efvq757t3w7p1MHUqpGhRhtJEPSkA5wE/N7Of4d3ddJyZvQR8ZWZpwSohDdhe7llE4lh+YT43Tr2RjMwMTm92OtVSqvHQxQ/xp3P+FFMJAeK40XzgANx6qzc57aSTvjt+443Qu7d/ccW4qCcF59zdwN0AwUrhTufcL8zsIWAQcH/wcXq0YxOJBOccd8y5g093fVp87Mt9X7Jy20ru73k/f+ke262zuKwUXnsNHn4YvvzSW/k0yZa/rgo/KoWy3A9MDt7uuhm41ud4RMJi1rpZjF06lg6NO1DnmDoApFoqT/3sKW478zafozu6uEsKe/fCbbdB9ereEthKCBXia1Jwzi3Au8sI59xOoKef8YiEm3OOexfcy8kNTmb1raupnlrd75AqzMziJym88go8+ijs3AlLl8JZZ/kdUdyJpUpBJOHM+GQGK7et5IXeL8RlQgCvUsgvzPc7jKP7+mv47W+hTh3405+UECpJSUEkQg58e4D/C/wfbRu25frTrvc7nEqLm0bzP//p3V20cKEWtqsCJQWRCNh3eB9XZlzJmtw1TOs/jWop8ftPLS56Cjt3wtixcM01SghVFL9/U0ViVEFhAVe8cgWLNy9mYt+JXNn+Sr9DqpIUS4n9yWuPPAL79sHw6K8NlWiUFETCLCMzg4WbFvL0lU9z3Y+u8zucKov5RnNuLjz+OPTv761nJFWiKX0iYZRfmM/IhSM5rdlp3HTGTX6HExYxPXw0bpy3W1penqqEMFGlIBJGL330Eut3rWda/2m+rVUUbjHbaN66FYYMgWbNYMQIOOUUvyNKCEoKIlW0K28XQ+cMLZ6l3CWtCz9v/3O/wwqbmKwUnngC/vMfb4G7+fO1BHYYJcavMiI+2XFgBz1f7MmkzEnsObSH9o3aM/bSsTG3flFVxNwqqZs2efMQ8vJg1CglhDBTpSBSQfsO7+PmGTfzdd7XfLrzU77a/xXTB0zn0jaX+h1aRMRcpTB6tLcPwsKF31/oTsJClYJIBT2+9HEmZ01mz6E9pNdP563r3krYhAAxlhQ2bIDnn4ff/EYJIUJUKYhUwO6Du3n43Ye5ot0VzBw40+9woiKmGs2jRkG1ajBsmN+RJCxVCiIV8NjSx/j64NeMvHCk36FETcxUCuvWwYsveiugnnCC39EkLCUFkRDtPribR997lD6n9KFLWhe/w4mamGk033cfHHMM/CW295+Id0oKIiF6Y+0b7D60m7+cl1w/lGKiUsjOhpdfht//3puXIBGjpCASoklZk2hVvxVnn3i236FEVYql+NtTuO8+uOIKqFUL/vxn/+JIEkoKIiHYcWAH72x4h34d+yXUHIRQGD6uffTRR3Dvvd4uao8+Ck2a+BNHEtHdRyIheGPtGxS4Avp37O93KFHn6/DRiBFQrx68+y40aOBPDElGlYJICCZnTaZtw7Z0Pr6z36FEnW+N5pUrYepUuOMOJYQoUqUgUoZ1O9dx59w72XNoD4s2LeLu7ncn3dAR+FAp3HUXLFsGGzd6yeD226N3bVGlIFKa7B3Z/OSFn7B402IKXSG9Tu7FLV1u8TssX0R18trixfDQQ95Oai1bevsk1KsXnWsLoEpB5Ajb9m7jwhcuBGDJTUs4tcmp/gbks6hUCs7B0KHw+utw/PHw/vtQu3ZkrymlUqUg8gPTsqfx1f6veOu6t5I+IUCUksK8efDYY9C4sbcsthKCb1QpiPxAICdA8+OaJ9Ws5fIYEWo0Owe33gqffAKffgrNm3sVQo0a4b+WhEyVgkgJzjkW5CygR3qPpGwqlyZilcL06TB+POzbB+3bw7/+pYQQA1QpiJSQlZtF7oFceqT38DuUmGEWpkZzfj786lewebP3PDsb2rb1qoNq+lEUK1QpiJQQ2BgAoEcrJYUiYasUXn4ZXnoJDh+GlBTo2BGefFIJIcbo/4ZICYGcAOn100mvn+53KDEjxVKq3lP49lv4+9+hSxdvdrKG5mKWkoJIUKErZOGmhfRu39vvUGJKWNY+evFFb9e0mTOVEGKcho9EghZvWsyuvF3qJ/xAlYePCgq8lU7PPBMuvzx8gUlEKCmIACu2rqDvpL60qNeCy9vpB1dJVW40r1wJmzbBkCGqEuJA1JOCmZ1kZgEzW2tmWWZ2e/B4QzOba2brgo9aAUui4oMvPqDniz2pV7MeC3+5kIa1GvodUkypcqUQ8Jr3XHRReAKSiPKjUsgH/uSc6wD8GPidmZ0KDAPmOefaAvOCz0Ui6v0t73PxxItpVLsRCwYtUIO5FFVuNAcC0KGDt3yFxLyoJwXn3Dbn3Mrg13uBtcCJQG9gQvBtE4A+0Y5Nksv/Nv+PSyZeQtM6TVkwaAEt67f0O6SYVOlGc14eXH01zJ+vKiGO+NpTMLN04AxgKdDMObcNvMQBNC3jM4PNbLmZLc/NzY1arJJYFm1axKUvXUpa3TQWDFrASfVO8jukmFXp7TjHjYM33oDzz4ebbw5/YBIRvt2SambHAq8DQ5xze0JdUsA5Nx4YD9CtWzcfN46VePPOhncYvXg0hwsO8+G2D2lZvyXzb5xPWt00v0OLaWaVqBT274cxY7wK4Z13IhOYRIQvlYKZVcdLCC87594IHv7KzNKCr6cB2/2ITRLTrHWzuOKVK8j5Jofa1WvT55Q+LBi0QAkhBJVqNP/737B9O4wcGZmgJGKiXimYVxI8C6x1zj1a4qUZwCDg/uDj9GjHJolp5iczuea1a+jUtBNzb5iru4sqqMKrpB48CA88AJdcAt27Ry4wiQg/ho/OA24APjazVcFj9+Alg8lmdjOwGbjWh9gkwUxdO5X+U/rT+fjOzPnFHBrU0p3OFVXhSuGjj2DHDhg8OHJBScREPSk455YAZTUQekYzFklMU9ZMYez7Y8kvzGfFthV0TevKnF/MoV5NbetYGSnmjTI750JbTjwry3s87bQIRiWRohnNklAmrp5I/yn92XFgB/Vq1uPG027k7RveVkKogqJEEPIQUmYm1KwJJ58cwagkUrQgniSMF1a9wE3Tb+KiVhcxY+AMalfXlo7hUFQpFLrC4q/LlZXlTVZLTY1wZBIJqhQkITyz8hlumn4TF7e+mJkDZyohhJEFR3tDnquQmentlSBxSUlB4t5/lv+HW2bewqVtLmX6gOnUql7L75ASSslK4ah27oQvvoBOnSIclUSKkoLEtSc/eJLb3rqNy9tezrT+06hZrabfISWc4kZzKD2Fp57yHi+5JIIRSSSppyBxa+z7Yxk6Zyi92/dm0jWTqFFNm75HQlGjudxKYe9euPZaWLwYeveGM86IUnQSbqoUJC498u4jDJ0zlKs6XMXkaycrIURQyVtSy/TOOzBnDpxzjjdxTeKWKgWJOw8seYBh84bRr2M/Xur7EtVTq/sdUkIrajSXWykEAlC7NsyaBcccE6XIJBJUKUhcGb1oNMPmDWNgp4G8fNXLSghREFKjORCA885TQkgASgoSN0YuGMn/Bf6PG067gYl9J1ItRYVuNJTZaP7qK28V1DPP9G5D7aG9rROBkoLEPOccf5v/N0YsHMEvO/+S53s/T2qKJkZFS5mN5n/8AxYtgiZNoG9fuO46H6KTcNOvWhI1f5j1B97b8l6FP3eo4BCZ2zP59Rm/ZtyV40KbVSthU/Tf23I2weDe3o5q4C1898tfwjPP+BechJ2SgkTFwpyFPLnsSc468Sya1G5S4c/3O7Uff73gr0oIPihqNNca/QAsXw49g+tWpqfDiBG+xSWRoaQgEeec494F93L8scezYNACzTiOMw0+38GSZ6HGF6/BkCHwyCN+hyQRpKQgERfICbBo0yIev+xxJYQ4dNa4maR9CQf7Xkmtu+/2OxyJMCUFCYuv877mlpm3sOHrDUe89vmezzmx7onc0vUWHyKTCpk3D/72N2/3NADnaL16Nf/oDr96/ilq1W3sb3wScUoKUmU7D+zk4okXk5WbxSWtLykegy7S/Ljm/Kbrb7QuUaybPRv69IETT/zeKqefHX8MD5/+Ab8MdZVUiWtKClIlOw7soNeLvcjekc20/tP4aduf+h2SAIwb5/2pyA/yNWvg1FNh7lxo/F1FsHDls3wz84OKbckpcUtJQSpt+/7t9HqxF+t2rWPGwBlc0lorY8aERx6BO++Erl293/pD1a2bt25Rw4bfO1yhVVIl7ikpJJjp2dMZvXg03xZ+G/Frbdu7jT2H9vDmwDfpebK2144657wf4pMmfXesoAA+/hj694eJE6F61ZcBCWmVVEkYSgoJ5LWs1xj4+kDaNmpLu0btIn69kxuczJCzh3B+y/Mjfi35AefgL3+Bhx6Cc8/93nAPV14JI0dCtfD8867QJjsS95QUEkTGxxncMPUGzjnpHGZdN4u6Ner6HZKE6tAh+N3vvIlhFflMdjb89rfwxBOQErlJfSEtnS0JQ0khAbz00UsMmjaI7i2689Z1b3HsMcf6HZKEKi8PrrrKu/Pnpz+t2CqjgwZ51YLZ0d9bBSEtnS0JQ0khzjy94mmeWv5U8T9Q5xyZ2zPp0aoHMwbMoM4xdXyOMA4tXOj9cC1a0yeavv4atmzx1g+6+eboXz8EajQnFyWFOPLP9/7JHW/fQde0rqTXTy8+3iO9B2N6jaF29dr+BRev5s3zxuCPPx5OP92fGB55xNvKMkap0ZxclBTixEP/e4i73rmLqztcTcbVGdpcpir++1+4915vXP7TT6FtWy85NG3qd2QxSY3m5KIlJ+PAmMVjuOudu+jfsb8SQlXNmOFtLL9nD7RpA7/4Bcyfr4RQDjWak4sqhRjinGPUolFMXjO5+FhBYQFrd6zluh9dx4Q+E5Jnt7HCQm8Nnhkzwnve7Gzo0sXbZL5+/fCeO0Gp0ZxckuQnTOxzzjF0zlAeW/oYF7S8gMa1v7vvvF/Hfvztgr8lz25jhYVw220wfry3xWODBuE79/nnw5gxUK9e+M6Z4NRoTi5KClGUX5jP0NlDCeQEjnjtUMEh1u9az+1n384/L/1ncXMv4Rw86P3AX7as7Pfk5cGGDXD33TB6dMRvuZTyqdGcXJQUouTbgm+5/o3reW3Na1zW5jLqVD/y1tFbu97KHefckbgJIS/P28t3zhzvjp/y7skfOtSb0JWo/y3iiHoKySXmkoKZXQY8BqQCzzjn7g/3NT5d8DopA68P92nLVegKGV74LU8d24zGtTaX8a61wHPRDCu6du+GrVvh2Wfhppv8jkZCpJ5CcomppGBmqcC/gIuBLcAyM5vhnFsTzuvUOLY+W9Ojv1lI2rEn0Lh+y6hfN6YMGABXX+13FFIBuiU1ucRUUgDOAtY75zYAmNmrQG8grEmhZbeetHxvSzhPKZKwipJC/yn9tZ1qDPlpm5/y8CUPh/28sZYUTgQ+L/F8C3B2yTeY2WBgMECLFi2iF5lIkjrrxLMYdPog9n+73+9QpIQT61Zgr4wKiLWkUFpX8XvdLefceGA8QLdu3dT5EomwRrUb8UKfF/wOQ6Ik1mY0bwFOKvG8ObDVp1hERJJOrCWFZUBbM2tlZscAA4AwT2kVEZGyxNTwkXMu38x+D8zBuyX1Oedcls9hiYgkjZhKCgDOuVnALL/jEBFJRrE2fCQiIj5SUhARkWJKCiIiUkxJQUREilk8r3xoZrnApiqcojGwI0zh+ClRvg/Q9xKLEuX7AH0vRVo655qU9kJcJ4WqMrPlzrlufsdRVYnyfYC+l1iUKN8H6HsJhYaPRESkmJKCiIgUS/akMN7vAMIkUb4P0PcSixLl+wB9L0eV1D0FERH5vmSvFEREpAQlBRERKZaUScHMLjOzT8xsvZkN8zueyjKz58xsu5ll+h1LVZnZSWYWMLO1ZpZlZrf7HVNlmFlNM/vAzFYHv4+RfsdUVWaWamYfmtmbfsdSFWaWY2Yfm9kqM1vudzyVZWb1zWyKmWUH/72cE9bzJ1tPwcxSgU+Bi/E29VkGDHTOhXUf6GgwswuAfcCLzrlOfsdTFWaWBqQ551aaWV1gBdAn3v6/mJkBdZxz+8ysOrAEuN05977PoVWamd0BdAOOc85d4Xc8lWVmOUA351xcT14zswnAYufcM8F9Z2o7574J1/mTsVI4C1jvnNvgnDsMvAr09jmmSnHOLQJ2+R1HODjntjnnVga/3gusxduzO644z77g0+rBP3H7m5eZNQcuB57xOxYBMzsOuAB4FsA5dzicCQGSMymcCHxe4vkW4vCHTyIzs3TgDGCpz6FUSnC4ZRWwHZjrnIvL7yNoLHAXUOhzHOHggLfNbIWZDfY7mEo6GcgFng8O6T1jZnXCeYFkTApWyrG4/U0u0ZjZscDrwBDn3B6/46kM51yBc64z3h7jZ5lZXA7tmdkVwHbn3Aq/YwmT85xzXYCfAr8LDr/Gm2pAF+DfzrkzgP1AWPuiyZgUtgAnlXjeHNjqUyxSQnAM/nXgZefcG37HU1XBsn4BcJm/kVTaecDPg2PxrwIXmdlL/oZUec65rcHH7cBUvKHkeLMF2FKi+pyClyTCJhmTwjKgrZm1CjZpBgAzfI4p6QUbtM8Ca51zj/odT2WZWRMzqx/8uhbQC8j2NahKcs7d7Zxr7pxLx/t3Mt859wufw6oUM6sTvIGB4HDLJUDc3bXnnPsS+NzM2gcP9QTCejNGzO3RHGnOuXwz+z0wB0gFnnPOZfkcVqWYWQZwIdDYzLYAw51zz/obVaWdB9wAfBwcjwe4J7hndzxJAyYE73JLASY75+L6Vs4E0QyY6v3uQTXgFefcbH9DqrQ/AC8Hf6ndAPwqnCdPultSRUSkbMk4fCQiImVQUhARkWJKCiIiUkxJQUREiikpiIhIMSUFkRLMrFFwFc1VZvalmX0R/HqfmT0VxuuMLW9GrZn93szCequhSCh0S6pIGcxsBLDPOfdwmM/bEJjlnPtxOe+pDfwvuJSBSNSoUhAJgZldWLSfgJmNMLMJZvZ2cI3+q8zsweBa/bODy3VgZl3NbGFwAbY5weXBAa4BZpc49/1mtsbMPjKzhwGccweAHDOLx6UYJI4pKYhUTmu8JaV7Ay8BAefcj4A84PJgYngCuMY51xV4Dhgd/Ox5ePtFFFUNfYGOzrnTgFElrrEcOD8K34tIsaRb5kIkTP7rnPvWzD7GWy6l6Df/j4F0oD3QCZgbXFohFdgWfE8a3vLHAHuAg8AzZvYWUHJJjO3AKRH8HkSOoKQgUjmHAJxzhWb2rfuuOVeI9+/KgCznXGlbJeYBNYOfzw8OEfXEW3Tu98BFwffVDL5XJGo0fCQSGZ8ATYr2zzWz6mbWMfjaWqBN8PixQL3gwn9DgM4lztGOOFzJU+KbkoJIBAS3er0GeMDMVgOrgHODL7+Ft7otQF3gTTP7CFgIDC1xmvOAd6IRr0gR3ZIq4gMzWwJcUdb+umZ2BnCHc+6GqAYmSU9JQcQHZnY2kOec+6iM1y8G1jnncqIamCQ9JQURESmmnoKIiBRTUhARkWJKCiIiUkxJQUREiikpiIhIsf8HFHm5akCiAgQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "A, B = BaseSpecies()\n",
    "\n",
    "A >> 2*A [1]\n",
    "B >> 2*B [1]\n",
    "\n",
    "A(1), B(1)\n",
    "S1 = Simulation(A | B)\n",
    "S1.duration = 4\n",
    "\n",
    "# This overrides the value of B from S1\n",
    "B(0)\n",
    "S2 = Simulation (A | B)\n",
    "S2.duration = 2\n",
    "\n",
    "S = S1 + S2\n",
    "S.method = 'stochastic'\n",
    "S.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "054821a5-79a5-41c0-ab18-9b3caa5b4a18",
   "metadata": {},
   "source": [
    "For events in concatenated simulations, the event time is based-around each simulation individually and not the global time. Each new simulation starts counting from zero again when considering the event trigger time. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "54df2d01-3489-4572-a2ff-90b5ea82afcc",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Compiling model\n",
      "Compiling model\n",
      "Starting Simulator\n",
      "Running simulation in parallel\n",
      "Simulation is Over\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "A, B = BaseSpecies()\n",
    "\n",
    "A >> 2*A [1]\n",
    "B >> 2*B [1]\n",
    "\n",
    "A(1), B(1)\n",
    "S1 = Simulation(A | B)\n",
    "S1.duration = 4\n",
    "\n",
    "# This overrides the value of B from S1\n",
    "B(0)\n",
    "S2 = Simulation (A | B)\n",
    "S2.duration = 2\n",
    "\n",
    "# The event will trigger at time 5 when S2 time is equal to 1\n",
    "with S2.event_time(1):\n",
    "    A(0)\n",
    "\n",
    "# The event will not trigger as the duration of S2 is equal to 2\n",
    "with S2.event_time(1):\n",
    "    A(100)\n",
    "\n",
    "S = S1 + S2\n",
    "S.method = 'stochastic'\n",
    "S.run()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
