Test support#
Common test support for all numpy test scripts.
This single module should provide all the common functionality for numpytests in a single location, so thattest scripts can just import it and work right away. Forbackground, see theTesting guidelines
Asserts#
| Raises an AssertionError if two objects are not equal up to desired tolerance. |
| Compare two arrays relatively to their spacing. |
| Check that all items of arrays differ in at most N Units in the Last Place. |
| Raises an AssertionError if two array_like objects are not equal. |
| Raises an AssertionError if two array_like objects are not ordered by less than. |
| Raises an AssertionError if two objects are not equal. |
| Fail unless an exception of class exception_class is thrown by callable when invoked with arguments args and keyword arguments kwargs. |
| Fail unless an exception of class exception_class and with message that matches expected_regexp is thrown by callable when invoked with arguments args and keyword arguments kwargs. |
| Fail unless the given callable throws the specified warning. |
| Fail if the given callable produces any warnings. |
| Fail if the given callable produces any reference cycles. |
| Test if two strings are equal. |
Asserts (not recommended)#
It is recommended to use one ofassert_allclose,assert_array_almost_equal_nulp orassert_array_max_ulp instead of thesefunctions for more consistent floating point comparisons.
| Assert that works in release mode. |
| Raises an AssertionError if two items are not equal up to desired precision. |
| Raises an AssertionError if two items are not equal up to significant digits. |
| Raises an AssertionError if two objects are not equal up to desired precision. |
| Test if two objects are equal, and print an error message if test fails. |
Decorators#
| Apply a decorator to all methods in a class matching a regular expression. |
Test running#
| Context manager that resets warning registry for catching warnings |
| Return elapsed time for executing code in the namespace of the caller. |
| Run doctests found in the given file. |
| Context manager and decorator doing much the same as |
Testing custom array containers (numpy.testing.overrides)#
These functions can be useful when testing custom array containerimplementations which make use of__array_ufunc__/__array_function__.
Determine if a Numpy function can be overridden via__array_function__ | |
Determine if a function can be overridden via__array_ufunc__ | |
List all numpy ufuncs overridable via__array_ufunc__ | |
List all numpy functions overridable via__array_function__ |