DataArchive
- class emmet.core.testing_utils.DataArchive(**data)
Bases:
BaseModelTool to compress test data into a lower disk / innode use file.
- Parameters:
files (dict[str, bytes])
- classmethod from_directory(path)
Find all files in . and parse them.
- Parameters:
path (Annotated[str | Path | DirEntry[str] | PathLike[str], PlainSerializer(func=~emmet.core.types.typing.<lambda>, return_type=str, when_used=always)])
- to_json(file_name)
Write all contents to JSON.
- Return type:
None- Parameters:
file_name (Annotated[str | Path | DirEntry[str] | PathLike[str], PlainSerializer(func=~emmet.core.types.typing.<lambda>, return_type=str, when_used=always)])
- classmethod extract(cls, archive_path)
Extract all bytes data from a JSON archive.
- Return type:
Generator[Path]- Parameters:
archive_path (Annotated[str | Path | DirEntry[str] | PathLike[str], PlainSerializer(func=~emmet.core.types.typing.<lambda>, return_type=str, when_used=always)])
Parameters
- archive_pathFSPathType
The name of the JSON file
Returns
pandas DataFrame representing the parsed data.
- static extract_obj(archive_path, file_name, func, *args, **kwargs)
Extract a single file and apply a mapping to it.
- Return type:
Any- Parameters:
archive_path (Annotated[str | Path | DirEntry[str] | PathLike[str], PlainSerializer(func=~emmet.core.types.typing.<lambda>, return_type=str, when_used=always)])
file_name (str)
func (Callable)
- model_config: ClassVar[ConfigDict] = {}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].