(
    items: Iterable,
    content_field: str | int,
    itemwise: bool = False,
)
Split records' content (text) from associated metadata, but keep them paired
    together.

    Args:
        items: An iterable of dicts, e.g. as read from disk by
            :func:`read_json(lines=True) <textacy.io.json.read_json>`,
            or an iterable of lists, e.g. as read from disk by
            :func:`read_csv() <textacy.io.csv.read_csv>`.
        content_field: If str, key in each dict item whose value is the item's content (text);
            if int, index of the value in each list item corresponding to the item's content (text).
        itemwise: If True, content + metadata are paired item-wise
            as an iterable of (content, metadata) 2-tuples; if False, content +
            metadata are paired by position in two parallel iterables in the form of
            a (iterable(content), iterable(metadata)) 2-tuple.

    Returns:
        Generator(Tuple[str, dict]): If ``itemwise`` is True and ``items`` is Iterable[dict];
        the first element in each tuple is the item's content,
        the second element is its metadata as a dictionary.

        Generator(Tuple[str, list]): If ``itemwise`` is True and ``items`` is Iterable[list];
        the first element in each tuple is the item's content,
        the second element is its metadata as a list.

        Tuple[Iterable[str], Iterable[dict]]: If ``itemwise`` is False and
        ``items`` is Iterable[dict];
        the first element of the tuple is an iterable of items' contents,
        the second is an iterable of their metadata dicts.

        Tuple[Iterable[str], Iterable[list]]: If ``itemwise`` is False and
        ``items`` is Iterable[list];
        the first element of the tuple is an iterable of items' contents,
        the second is an iterable of their metadata lists.
Split records' content (text) from associated metadata, but keep them paired
    together.
Split records content ( text ) from associated metadata but keep them paired together .
def split_records(
    items: Iterable,
    content_field: str | int,
    itemwise: bool = False,
) -> Iterable:
    """
    Split records' content (text) from associated metadata, but keep them paired
    together.

    Args:
        items: An iterable of dicts, e.g. as read from disk by
            :func:`read_json(lines=True) <textacy.io.json.read_json>`,
            or an iterable of lists, e.g. as read from disk by
            :func:`read_csv() <textacy.io.csv.read_csv>`.
        content_field: If str, key in each dict item whose value is the item's content (text);
            if int, index of the value in each list item corresponding to the item's content (text).
        itemwise: If True, content + metadata are paired item-wise
            as an iterable of (content, metadata) 2-tuples; if False, content +
            metadata are paired by position in two parallel iterables in the form of
            a (iterable(content), iterable(metadata)) 2-tuple.

    Returns:
        Generator(Tuple[str, dict]): If ``itemwise`` is True and ``items`` is Iterable[dict];
        the first element in each tuple is the item's content,
        the second element is its metadata as a dictionary.

        Generator(Tuple[str, list]): If ``itemwise`` is True and ``items`` is Iterable[list];
        the first element in each tuple is the item's content,
        the second element is its metadata as a list.

        Tuple[Iterable[str], Iterable[dict]]: If ``itemwise`` is False and
        ``items`` is Iterable[dict];
        the first element of the tuple is an iterable of items' contents,
        the second is an iterable of their metadata dicts.

        Tuple[Iterable[str], Iterable[list]]: If ``itemwise`` is False and
        ``items`` is Iterable[list];
        the first element of the tuple is an iterable of items' contents,
        the second is an iterable of their metadata lists.
    """
    if itemwise is True:
        return ((item.pop(content_field), item) for item in items)
    else:
        return unzip(((item.pop(content_field), item) for item in items))
def split_records ( items : Iterable , content_field : str | int , itemwise : bool = False , ) -> Iterable : if itemwise is True : return ( ( item . pop ( content_field ) , item ) for item in items ) else : return unzip ( ( ( item . pop ( content_field ) , item ) for item in items ) )