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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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The test should not be run if there is no Fortran compiler. This PR
moves it to `numpy/f2py/tests/test_compile_function.py`, which is
appropriate for the test and a place where the presence of the needed
compilers is already checked for.
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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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That function is nose specific and has not worked since `__init__` files
were added to the tests directories.
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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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This allows pytest to run with duplicate test file names. Note that
`python <path-to-test-file>` no longer works with this change, nor will
a simple `pytest numpy`, because numpy is imported from the numpy
repository. However, `python runtests.py` and `>>> numpy.test()` are
still available.
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Fortran sources with parameters having kind-specifiers
where not correctly intercepted in the crackfortran.py
source.
The reason was a restrictive check for only integer specifiers
which did not split real's into the correct number.
Furthermore, several tests has been added which tests the different
kind specifiers and their use in codes, also all of them together.
Signed-off-by: Nick Papior <nickpapior@gmail.com>
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This checks that the compilation works and that the expected error
is raised when non-contiguous arrays are passed as intent(in out).
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