def process_metadict(self, meta_dict):
attributes = {
attr_name: utils.to_expression_or_string(attr_value) for attr_name, attr_value in meta_dict.items()
if not re.match(r'dataset\d+', attr_name)
}
data_names = [dataname for datalabel, dataname in meta_dict.items() if re.match(r'dataset\d+$', datalabel)]
data_slices = [ast.literal_eval(value) for key, value in meta_dict.items()
if re.match(r'dataset\d+.slices', key)]
return attributes, data_names, data_slices
def process_metadict(self,
meta_dict: Dict) -> Tuple[Dict, List[str], ndarray]:
attributes = {
attr_name: utils.to_expression_or_string(attr_value)
for attr_name, attr_value in meta_dict.items()
if not re.match(r"dataset\d+", attr_name)
}
data_names = [
dataname for datalabel, dataname in meta_dict.items()
if re.match(r"dataset\d+$", datalabel)
]
data_slices = [
ast.literal_eval(value) for key, value in meta_dict.items()
if re.match(r"dataset\d+.slices", key)
]
return attributes, data_names, data_slices