slicing_plan(chunks, index)

Parameters

chunks : Tuple[int]

One dimensions worth of chunking information

index : np.ndarray[int]

The index passed to slice on that dimension

Returns

out : List[Tuple[int, np.ndarray]]

A list of chunk/sub-index pairs corresponding to each output chunk

Construct a plan to slice chunks with the given index

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

---

File: /dask/array/slicing.py#541
type: <class 'function'>
Commit: