Function load

modelscope/fileio/io.py:17–56

Load data from json/yaml/pickle files. This method provides a unified api for loading data from serialized files. Args: file (str or :obj:`Path` or file-like object): Filename or a file-like object. file_format (str, optional): If not specified, the file format

(file, file_format=None, **kwargs)

def load(file, file_format=None, **kwargs):
    """Load data from json/yaml/pickle files.

    This method provides a unified api for loading data from serialized files.

    Args:
        file (str or :obj:`Path` or file-like object): Filename or a file-like
            object.
        file_format (str, optional): If not specified, the file format will be
            inferred from the file extension, otherwise use the specified one.
            Currently supported formats include "json", "yaml/yml".

    Examples:
        >>> load('/path/of/your/file')  # file is stored in disk
        >>> load('https://path/of/your/file')  # file is stored on internet
        >>> load('oss://path/of/your/file')  # file is stored in petrel

    Returns:
        The content from the file.
    """
    if isinstance(file, Path):
        file = str(file)
    if file_format is None and isinstance(file, str):
        file_format = file.split('.')[-1]
    if file_format not in format_handlers:
        raise TypeError(f'Unsupported format: {file_format}')

    handler = format_handlers[file_format]
    if isinstance(file, str):
        if handler.text_mode:
            with StringIO(File.read_text(file)) as f:
                obj = handler.load(f, **kwargs)
        else:
            with BytesIO(File.read(file)) as f:
                obj = handler.load(f, **kwargs)
    elif hasattr(file, 'read'):
        obj = handler.load(file, **kwargs)
    else:
        raise TypeError('"file" must be a filepath str or a file-object')
    return obj


def dump(obj, file=None, file_format=None, **kwargs):