Function cumsum

dask/array/reductions.py:1296–1318

Dask added an additional keyword-only argument ``method``. method : {'sequential', 'blelloch'}, optional Choose which method to use to perform the cumsum. Default is 'sequential'. * 'sequential' performs the cumsum of each prior block before the current block. * 'blell

(x, axis=None, dtype=None, out=None, method="sequential")

@derived_from(np)
def cumsum(x, axis=None, dtype=None, out=None, method="sequential"):
    """Dask added an additional keyword-only argument ``method``.

    method : {'sequential', 'blelloch'}, optional
        Choose which method to use to perform the cumsum.  Default is 'sequential'.

        * 'sequential' performs the cumsum of each prior block before the current block.
        * 'blelloch' is a work-efficient parallel cumsum.  It exposes parallelism by
          first taking the sum of each block and combines the sums via a binary tree.
          This method may be faster or more memory efficient depending on workload,
          scheduler, and hardware.  More benchmarking is necessary.
    """
    return cumreduction(
        np.cumsum,
        _cumsum_merge,
        0,
        x,
        axis,
        dtype,
        out=out,
        method=method,
        preop=np.sum,
    )


@derived_from(np)