{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyiron_base import PythonTemplateJob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ToyJob(PythonTemplateJob):\n",
    "    def __init__(self, project, job_name):\n",
    "        super(ToyJob, self).__init__(project, job_name) \n",
    "        self.input['input_energy'] = 100\n",
    "    \n",
    "    # This function is executed \n",
    "    def run_static(self):\n",
    "        with self.project_hdf5.open(\"output/generic\") as h5out: \n",
    "             h5out[\"energy_tot\"] = self.input[\"input_energy\"]\n",
    "        self.status.finished = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Parameter  Value Comment\n",
      "0  input_energy    100        \n",
      "The job toy was saved and received the ID: 1\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "100"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyiron_base import Project\n",
    "pr = Project('test')\n",
    "pr.remove_jobs_silently(recursive=True)\n",
    "job = pr.create_job(job_type=ToyJob, job_name=\"toy\")\n",
    "print(job.input)\n",
    "job.run()\n",
    "job['output/generic/energy_tot']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
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