assert_raises(exception_class, callable, *args, **kwargs) assert_raises(exception_class)
Alternatively, assert_raises
can be used as a context manager:
>>> from numpy.testing import assert_raises >>> with assert_raises(ZeroDivisionError): ... 1 / 0
is equivalent to
>>> def div(x, y): ... return x / y >>> assert_raises(ZeroDivisionError, div, 1, 0)
Fail unless an exception of class exception_class is thrown by callable when invoked with arguments args and keyword arguments kwargs. If a different type of exception is thrown, it will not be caught, and the test case will be deemed to have suffered an error, exactly as for an unexpected exception.
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.testing._private.utils.assert_raises
numpy.testing._private.utils.assert_raises_regex
numpy.testing._private.utils.raises
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