decoder_util.py 文件源码

python
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项目:tensorflow_end2end_speech_recognition 作者: hirofumi0810 项目源码 文件源码
def _flatten_dict(dict_, parent_key="", sep="."):
    """Flattens a nested dictionary. Namedtuples within
    the dictionary are converted to dicts.
    Args:
        dict_: The dictionary to flatten.
        parent_key: A prefix to prepend to each key.
        sep: Separator between parent and child keys, a string. For example
            { "a": { "b": 3 } } will become { "a.b": 3 } if the separator
            is ".".
    Returns:
        A new flattened dictionary.
    """
    items = []
    for key, value in dict_.items():
        new_key = parent_key + sep + key if parent_key else key
        if isinstance(value, collections.MutableMapping):
            items.extend(_flatten_dict(value, new_key, sep=sep).items())
        elif isinstance(value, tuple) and hasattr(value, "_asdict"):
            dict_items = collections.OrderedDict(zip(value._fields, value))
            items.extend(_flatten_dict(
                dict_items, new_key, sep=sep).items())
        else:
            items.append((new_key, value))
    return dict(items)
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