input_output.ipynb

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   "source": "## Input and Output\n\nThis file is used for storing and loading of the simulation results. The results are stored as python objects in the \"data\"-folder using the pickle function. The files are named after the called simulation function and the passed parameters.\n",
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   "source": "# library imports\nimport numpy as np\nimport pickle\nfrom itertools import product\nfrom typing import Union\nfrom collections.abc import Callable\nfrom functools import partial\nimport import_ipynb\nfrom scipy.interpolate import interp1d",
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   "outputs": []
  },
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   "source": "def str_name(param_names: list, params: list) -> str:\n    \"\"\"Converts parameters into a string used for generating file names to store the data\"\"\"\n    s = '___'.join([f'{param_names[i]}_{params[i]:.2e}' for i in range(len(params))]) + '.pkl'\n    return s\n",
   "execution_count": null,
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   "source": "def parse_params(params: list) -> list:\n    \"\"\"Get list with parameters, take first parameter if an array is given for a parameter\"\"\"\n    p = []\n    for param in params:\n        if isinstance(param, np.ndarray):\n            p.append(param[0])\n        else:\n            p.append(param)\n    return p",
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   "source": "def save_data(data, fname) -> None:\n    with open(fname, \"wb+\") as f:\n        pickle.dump(data, f)",
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   "source": "def load_data(fname) -> object:\n    with open(fname, 'rb') as f:\n        data = pickle.load(f)\n    return data",
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