# prepare.py
#
# author: deng
# date  : 20231228

import yaml

import torch


def prepare(params_path: str = 'params.yaml') -> None:
    """Preprocess data save as npz for model training

    Args:
        params_path (str, optional): path of parameter yaml. Defaults to 'params.yaml'.
    """

    with open(params_path, 'r') as f:
        params = yaml.safe_load(f)


if __name__ == '__main__':
    prepare()