dask 2021.10.0

ParametersReturns
unpack_collections(*args, **kwargs)

Intended use is to find all collections in a set of (possibly nested) python objects, do something to them (compute, etc...), then repackage them in equivalent python objects.

Parameters

*args :

Any number of objects. If it is a dask collection, it's extracted and added to the list of collections returned. By default, python builtin collections are also traversed to look for dask collections (for more information see the traverse keyword).

traverse : bool, optional

If True (default), builtin python collections are traversed looking for any dask collections they might contain.

Returns

collections : list

A list of all dask collections contained in args

repack : callable

A function to call on the transformed collections to repackage them as they were in the original args .

Extract collections in preparation for compute/persist/etc...

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/base.py#376
type: <class 'function'>
Commit: