numpy 1.22.4 Pypi GitHub Homepage
Other Docs

Decorators that merely return a modified version of the original function object are straightforward. Decorators that return a new function object need to use ::

nose.tools.make_decorator(original_function)(decorator)

in returning the decorator, in order to preserve meta-data such as function name, setup and teardown functions and so on - see nose.tools for more information.

Decorators for labeling and modifying behavior of test objects.

Decorators for labeling and modifying behavior of test objects.

Decorators that merely return a modified version of the original function object are straightforward. Decorators that return a new function object need to use ::

nose.tools.make_decorator(original_function)(decorator)

in returning the decorator, in order to preserve meta-data such as function name, setup and teardown functions and so on - see nose.tools for more information.

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/testing/_private/decorators.py#0
type: <class 'module'>
Commit: