Function modf

dask/array/ufunc.py:321–342

(x)

@derived_from(np)
def modf(x):
    # Not actually object dtype, just need to specify something
    tmp = elemwise(np.modf, x, dtype=object)
    left = f"modf1-{tmp.name}"
    right = f"modf2-{tmp.name}"
    ldsk = {
        (left,) + key[1:]: (getitem, key, 0)
        for key in core.flatten(tmp.__dask_keys__())
    }
    rdsk = {
        (right,) + key[1:]: (getitem, key, 1)
        for key in core.flatten(tmp.__dask_keys__())
    }

    a = np.ones_like(getattr(x, "_meta", x), shape=(1,) * x.ndim, dtype=x.dtype)
    l, r = np.modf(a)

    graph = HighLevelGraph.from_collections(left, ldsk, dependencies=[tmp])
    L = Array(graph, left, chunks=tmp.chunks, meta=l)
    graph = HighLevelGraph.from_collections(right, rdsk, dependencies=[tmp])
    R = Array(graph, right, chunks=tmp.chunks, meta=r)
    return L, R


@derived_from(np)