dask 2021.10.0

Parameters
__init__(self, annotations: Mapping[str, Any] = None, collection_annotations: Mapping[str, Any] = None)

Parameters

annotations : Mapping[str, Any], optional

By default, None. Annotations are metadata or soft constraints associated with tasks that dask schedulers may choose to respect: They signal intent without enforcing hard constraints. As such, they are primarily designed for use with the distributed scheduler. See the dask.annotate function for more information.

collection_annotations : Mapping[str, Any], optional. By default, None.

Experimental, intended to assist with visualizing the performance characteristics of Dask computations. These annotations are not passed to the distributed scheduler.

Initialize Layer object.

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/highlevelgraph.py#64
type: <class 'function'>
Commit: