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Nose test running.
This module implements ``test()`` and ``bench()`` functions for NumPy modules.
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Given a path where a package is installed, determine its name.
Parameters
----------
filepath : str
Path to a file. If the determination fails, "numpy" is returned.
Examples
--------
>>> np.testing.nosetester.get_package_name('nonsense')
'numpy'
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Run a test module.
Equivalent to calling ``$ nosetests <argv> <file_to_run>`` from
the command line
Parameters
----------
file_to_run : str, optional
Path to test module, or None.
By default, run the module from which this function is called.
argv : list of strings
Arguments to be passed to the nose test runner. ``argv[0]`` is
ignored. All command line arguments accepted by ``nosetests``
will work. If it is the default value None, sys.argv is used.
.. versionadded:: 1.9.0
Examples
--------
Adding the following::
if __name__ == "__main__" :
run_module_suite(argv=sys.argv)
at the end of a test module will run the tests when that module is
called in the python interpreter.
Alternatively, calling::
>>> run_module_suite(file_to_run="numpy/tests/test_matlib.py") # doctest: +SKIP
from an interpreter will run all the test routine in 'test_matlib.py'.
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Nose test runner.
This class is made available as numpy.testing.Tester, and a test function
is typically added to a package's __init__.py like so::
from numpy.testing import Tester
test = Tester().test
Calling this test function finds and runs all tests associated with the
package and all its sub-packages.
Attributes
----------
package_path : str
Full path to the package to test.
package_name : str
Name of the package to test.
Parameters
----------
package : module, str or None, optional
The package to test. If a string, this should be the full path to
the package. If None (default), `package` is set to the module from
which `NoseTester` is initialized.
raise_warnings : None, str or sequence of warnings, optional
This specifies which warnings to configure as 'raise' instead
of being shown once during the test execution. Valid strings are:
- "develop" : equals ``(Warning,)``
- "release" : equals ``()``, don't raise on any warnings.
Default is "release".
depth : int, optional
If `package` is None, then this can be used to initialize from the
module of the caller of (the caller of (...)) the code that
initializes `NoseTester`. Default of 0 means the module of the
immediate caller; higher values are useful for utility routines that
want to initialize `NoseTester` objects on behalf of other code.
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Parameters
----------
label : {'fast', 'full', '', attribute identifier}, optional
see ``test`` docstring
verbose : int, optional
Verbosity value for test outputs, in the range 1-10. Default is 1.
extra_argv : list, optional
List with any extra arguments to pass to nosetests.
Returns
-------
argv : list
command line arguments that will be passed to nose
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Run tests for module using nose.
This method does the heavy lifting for the `test` method. It takes all
the same arguments, for details see `test`.
See Also
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test
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Run tests for module using nose.
Parameters
----------
label : {'fast', 'full', '', attribute identifier}, optional
Identifies the tests to run. This can be a string to pass to
the nosetests executable with the '-A' option, or one of several
special values. Special values are:
* 'fast' - the default - which corresponds to the ``nosetests -A``
option of 'not slow'.
* 'full' - fast (as above) and slow tests as in the
'no -A' option to nosetests - this is the same as ''.
* None or '' - run all tests.
* attribute_identifier - string passed directly to nosetests as '-A'.
verbose : int, optional
Verbosity value for test outputs, in the range 1-10. Default is 1.
extra_argv : list, optional
List with any extra arguments to pass to nosetests.
doctests : bool, optional
If True, run doctests in module. Default is False.
coverage : bool, optional
If True, report coverage of NumPy code. Default is False.
(This requires the
`coverage module <https://pypi.org/project/coverage/>`_).
raise_warnings : None, str or sequence of warnings, optional
This specifies which warnings to configure as 'raise' instead
of being shown once during the test execution. Valid strings are:
* "develop" : equals ``(Warning,)``
* "release" : equals ``()``, do not raise on any warnings.
timer : bool or int, optional
Timing of individual tests with ``nose-timer`` (which needs to be
installed). If True, time tests and report on all of them.
If an integer (say ``N``), report timing results for ``N`` slowest
tests.
Returns
-------
result : object
Returns the result of running the tests as a
``nose.result.TextTestResult`` object.
Notes
-----
Each NumPy module exposes `test` in its namespace to run all tests for it.
For example, to run all tests for numpy.lib:
>>> np.lib.test() #doctest: +SKIP
Examples
--------
>>> result = np.lib.test() #doctest: +SKIP
Running unit tests for numpy.lib
...
Ran 976 tests in 3.933s
OK
>>> result.errors #doctest: +SKIP
[]
>>> result.knownfail #doctest: +SKIP
[]
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Run benchmarks for module using nose.
Parameters
----------
label : {'fast', 'full', '', attribute identifier}, optional
Identifies the benchmarks to run. This can be a string to pass to
the nosetests executable with the '-A' option, or one of several
special values. Special values are:
* 'fast' - the default - which corresponds to the ``nosetests -A``
option of 'not slow'.
* 'full' - fast (as above) and slow benchmarks as in the
'no -A' option to nosetests - this is the same as ''.
* None or '' - run all tests.
* attribute_identifier - string passed directly to nosetests as '-A'.
verbose : int, optional
Verbosity value for benchmark outputs, in the range 1-10. Default is 1.
extra_argv : list, optional
List with any extra arguments to pass to nosetests.
Returns
-------
success : bool
Returns True if running the benchmarks works, False if an error
occurred.
Notes
-----
Benchmarks are like tests, but have names starting with "bench" instead
of "test", and can be found under the "benchmarks" sub-directory of the
module.
Each NumPy module exposes `bench` in its namespace to run all benchmarks
for it.
Examples
--------
>>> success = np.lib.bench() #doctest: +SKIP
Running benchmarks for numpy.lib
...
using 562341 items:
unique:
0.11
unique1d:
0.11
ratio: 1.0
nUnique: 56230 == 56230
...
OK
>>> success #doctest: +SKIP
True
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