Example #1
0
def flat_map_depth(collection, iteratee=None, depth=1):
    """This method is like :func:`flat_map` except that it recursively flattens
    the mapped results up to `depth` times.

    Args:
        collection (list|dict): Collection to iterate over.
        iteratee (mixed, optional): Iteratee applied per iteration.

    Returns:
        list: Flattened mapped list.

    Example:

        >>> duplicate = lambda n: [[n, n]]
        >>> flat_map_depth([1, 2], duplicate, 1)
        [[1, 1], [2, 2]]
        >>> flat_map_depth([1, 2], duplicate, 2)
        [1, 1, 2, 2]

    .. versionadded:: 4.0.0
    """
    return pyd.flatten_depth(itermap(collection, iteratee=iteratee),
                             depth=depth)
Example #2
0
def flat_map_depth(collection, iteratee=None, depth=1):
    """This method is like :func:`flat_map` except that it recursively flattens
    the mapped results up to `depth` times.

    Args:
        collection (list|dict): Collection to iterate over.
        iteratee (mixed, optional): Iteratee applied per iteration.

    Returns:
        list: Flattened mapped list.

    Example:

        >>> duplicate = lambda n: [[n, n]]
        >>> flat_map_depth([1, 2], duplicate, 1)
        [[1, 1], [2, 2]]
        >>> flat_map_depth([1, 2], duplicate, 2)
        [1, 1, 2, 2]

    .. versionadded:: 4.0.0
    """
    return pyd.flatten_depth(itermap(collection, iteratee=iteratee),
                             depth=depth)
Example #3
0
def test_flatten_depth(case, expected):
    assert _.flatten_depth(*case) == expected