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* Cleanup unused imports (F401) of mostly standard Python modules,
or some internal but unlikely referenced modules
* Where internal imports are potentially used, mark with noqa
* Avoid redefinition of imports (F811)
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This replaces basestring with str except in
- tools/npy_tempita/
- numpy/compat/py3k.py
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As numpy is Python 3 only, these import statements are now unnecessary
and don't alter runtime behavior.
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broken way
Also switches to using a parametrized test, for better error messages
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(#12448)
* Review F401,F841,F842 flake8 errors (unused variables, imports)
* Review comments
* More tests in test_installed_npymath_ini
* Review comments
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out if multiple do not
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This adds entry_points for the f2py scripts. The installed scripts
differ between Windows and other environments.
* On Windows, the only script installed is 'f2py'. This works well in
that environment because each Python version is installed in its own
directory, making it easy to keep the differing script versions
separate.
* Otherwise, three scripts are installed, 'f2py', 'f2py' + 'minor', and
'f2py' + 'major.minor'. For instance, if Numpy is installed by
Python 2.7, then the installed scripts will be named 'f2py', 'f2py2',
and 'f2py2.7'. That naming scheme is used for back compatibility, and
also so that more than one Python version can be dealt with in a way
common to many Linux distros. Note that 'f2py' will always point to
the latest install and 'f2py(2|3)' to the latest Python (2|3) install
The script tests have been modified to check for the new environment
and the code previously used to install the scripts has been removed.
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Use standard pytest markers everywhere in the numpy tests. At this point
there should be no nose dependency. However, nose is required to test
the legacy decorators if so desired.
At this point, numpy test cannot be run in the way with runtests, rather
installed numpy can be tested with `pytest --pyargs numpy` as long as
that is not run from the repo. Run it from the tools directory or some
such.
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The aim here is to separate out the nose dependent files prior to adding
pytest support. This could be done by adding new files to the general
numpy/testing directory, but I felt that it was to have the relevant
files separated out as it makes it easier to completely remove nose
dependencies when needed.
Many places were accessing submodules in numpy/testing directly, and in
some cases incorrectly. That presented a backwards compatibility
problem. The solution adapted here is to have "dummy" files whose
contents will depend on whether of not pytest is active. That way the
module looks the same as before from the outside.
In the case of numpy itself, direct accesses have been fixed. Having
proper `__all__` lists in the submodules helped in that.
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Bare except is very rarely the right thing
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Since we only need to support python 2, we can remove any case where we just
pass a single string literal and use the b prefix instead.
What we can't do is transform asbytes("tests %d" % num), because %-formatting
fails on bytes in python 3.x < 3.5.
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When you run 'python -V' under Anaconda, it
returns for example, 'Python 3.4.3 :: Continuum
Analytics, Inc.' However, the original parsing
of the version in 'test_f2py' assumed there was
nothing following the version number, causing a
ValueError because you can't assign three
variables to four components that you get from
splitting on the '.'
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The 'sys.executable' can come in various names, but
the three main ones are "python", "python{major_version}",
and "python{major_version.minor_version}". The current
version of the f2py test assumes that only the latter
two are used. Since "f2py" is generally versioned,
using the executable basename "python" will make it
impossible to find. This commit fixes that issue
by using a sure-fire way of getting the Python version.
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Fixed test_scripts.test_f2py test so that
it can pass correctly on win32 virtualenvs,
in which the Python executable and the
f2py.py file are both in the Scripts
directory.
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The test was checking whether the f2py script was installed as either of
two names, but was only catching OSError, so the second check was
skipped if the first failed for another reason. The caused the
runtests.py script to fail it does not install the script as f2py but
rather with the python version appended.
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Also rewrite error messages so that they read more like warnings
than errors.
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Module tests whether we can run f2py and return correct version.
Skip this test when running in-place (we don't install f2py in that
case).
Use our own virtualenvs in travis-ci to avoid picking up travis' numpy.
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