_prefixscan_combine(func, binop, pre, x, axis, dtype)

Parameters

func : callable

Cumulative function (e.g. np.cumsum )

binop : callable

Associative function (e.g. add )

pre : np.array

The value calculated in parallel from preop . For example, the sum of all the previous blocks.

x : np.array

Current block

axis : int

dtype : dtype

Returns

np.array

Combine results of a parallel prefix scan such as cumsum

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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File: /dask/array/reductions.py#1132
type: <class 'function'>
Commit: