retrieve_from_ooc(keys: 'Collection[Hashable]', dsk_pre: 'Mapping', dsk_post: 'Mapping') -> 'dict'
A sequence containing Dask graph keys to load
A Dask graph corresponding to a Dask Array before computation
A Dask graph corresponding to a Dask Array after computation
Creates a Dask graph for loading stored keys
from dsk
.
>>> import dask.array as daSee :
... d = da.ones((5, 6), chunks=(2, 3))
... a = np.empty(d.shape)
... g = insert_to_ooc(d.__dask_keys__(), d.chunks, a, "store-123")
... retrieve_from_ooc(g.keys(), g, {k: k for k in g.keys()}) # doctest: +SKIP
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.core.retrieve_from_ooc
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