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This module raises a RuntimeError if an attempt to reload it is made. In that way the identities of the classes defined here are fixed and will remain so even if numpy itself is reloaded. In particular, a function like the following will still work correctly after numpy is reloaded:

def foo(arg=np._NoValue):
    if arg is np._NoValue:
        ...

That was not the case when the singleton classes were defined in the numpy __init__.py file. See gh-7844 for a discussion of the reload problem that motivated this module.

Module defining global singleton classes.

Module defining global singleton classes.

This module raises a RuntimeError if an attempt to reload it is made. In that way the identities of the classes defined here are fixed and will remain so even if numpy itself is reloaded. In particular, a function like the following will still work correctly after numpy is reloaded:

def foo(arg=np._NoValue):
    if arg is np._NoValue:
        ...

That was not the case when the singleton classes were defined in the numpy __init__.py file. See gh-7844 for a discussion of the reload problem that motivated this module.

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


GitHub : /numpy/_globals.py#0
type: <class 'module'>
Commit: