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When the config.json.example is parsed by the Python code, config['param_reject'] is directly a dictionary, so no conversion is required.
Case of a pandas.Dataframe
Some metadata can be stored in a pandas.Dataframe and given to a MNE function (for instance mne.Epochs). So either, the information is stored into a .csv and converted into a pandas.Dataframe using:
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if isinstance(config['param_metadata'], str):
config['param_metadata'] = pd.read_csv(config['param_metadata']) |
Or the user enters a dictionary in the config.json.example and this dictionary will be then converted into a pandas.Dataframe using:
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elif isinstance(config['param_metadata'], dict):
config['param_metadata'] = pd.DataFrame(list(config['param_metadata'].items())) |