AIM-PIbd-32-Kurbanova-A-A/aimenv/Lib/site-packages/numpy/f2py/tests/test_regression.py

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2024-10-02 22:15:59 +04:00
import os
import pytest
import platform
import numpy as np
import numpy.testing as npt
from . import util
class TestIntentInOut(util.F2PyTest):
# Check that intent(in out) translates as intent(inout)
sources = [util.getpath("tests", "src", "regression", "inout.f90")]
@pytest.mark.slow
def test_inout(self):
# non-contiguous should raise error
x = np.arange(6, dtype=np.float32)[::2]
pytest.raises(ValueError, self.module.foo, x)
# check values with contiguous array
x = np.arange(3, dtype=np.float32)
self.module.foo(x)
assert np.allclose(x, [3, 1, 2])
class TestNegativeBounds(util.F2PyTest):
# Check that negative bounds work correctly
sources = [util.getpath("tests", "src", "negative_bounds", "issue_20853.f90")]
@pytest.mark.slow
def test_negbound(self):
xvec = np.arange(12)
xlow = -6
xhigh = 4
# Calculate the upper bound,
# Keeping the 1 index in mind
def ubound(xl, xh):
return xh - xl + 1
rval = self.module.foo(is_=xlow, ie_=xhigh,
arr=xvec[:ubound(xlow, xhigh)])
expval = np.arange(11, dtype = np.float32)
assert np.allclose(rval, expval)
class TestNumpyVersionAttribute(util.F2PyTest):
# Check that th attribute __f2py_numpy_version__ is present
# in the compiled module and that has the value np.__version__.
sources = [util.getpath("tests", "src", "regression", "inout.f90")]
@pytest.mark.slow
def test_numpy_version_attribute(self):
# Check that self.module has an attribute named "__f2py_numpy_version__"
assert hasattr(self.module, "__f2py_numpy_version__")
# Check that the attribute __f2py_numpy_version__ is a string
assert isinstance(self.module.__f2py_numpy_version__, str)
# Check that __f2py_numpy_version__ has the value numpy.__version__
assert np.__version__ == self.module.__f2py_numpy_version__
def test_include_path():
incdir = np.f2py.get_include()
fnames_in_dir = os.listdir(incdir)
for fname in ("fortranobject.c", "fortranobject.h"):
assert fname in fnames_in_dir
class TestIncludeFiles(util.F2PyTest):
sources = [util.getpath("tests", "src", "regression", "incfile.f90")]
options = [f"-I{util.getpath('tests', 'src', 'regression')}",
f"--include-paths {util.getpath('tests', 'src', 'regression')}"]
@pytest.mark.slow
def test_gh25344(self):
exp = 7.0
res = self.module.add(3.0, 4.0)
assert exp == res
class TestF77Comments(util.F2PyTest):
# Check that comments are stripped from F77 continuation lines
sources = [util.getpath("tests", "src", "regression", "f77comments.f")]
@pytest.mark.slow
def test_gh26148(self):
x1 = np.array(3, dtype=np.int32)
x2 = np.array(5, dtype=np.int32)
res=self.module.testsub(x1, x2)
assert(res[0] == 8)
assert(res[1] == 15)
@pytest.mark.slow
def test_gh26466(self):
# Check that comments after PARAMETER directions are stripped
expected = np.arange(1, 11, dtype=np.float32)*2
res=self.module.testsub2()
npt.assert_allclose(expected, res)
class TestF90Contiuation(util.F2PyTest):
# Check that comments are stripped from F90 continuation lines
sources = [util.getpath("tests", "src", "regression", "f90continuation.f90")]
@pytest.mark.slow
def test_gh26148b(self):
x1 = np.array(3, dtype=np.int32)
x2 = np.array(5, dtype=np.int32)
res=self.module.testsub(x1, x2)
assert(res[0] == 8)
assert(res[1] == 15)
@pytest.mark.slow
def test_gh26623():
# Including libraries with . should not generate an incorrect meson.build
try:
aa = util.build_module(
[util.getpath("tests", "src", "regression", "f90continuation.f90")],
["-lfoo.bar"],
module_name="Blah",
)
except RuntimeError as rerr:
assert "lparen got assign" not in str(rerr)
@pytest.mark.slow
@pytest.mark.skipif(platform.system() not in ['Linux', 'Darwin'], reason='Unsupported on this platform for now')
def test_gh25784():
# Compile dubious file using passed flags
try:
aa = util.build_module(
[util.getpath("tests", "src", "regression", "f77fixedform.f95")],
options=[
# Meson will collect and dedup these to pass to fortran_args:
"--f77flags='-ffixed-form -O2'",
"--f90flags=\"-ffixed-form -Og\"",
],
module_name="Blah",
)
except ImportError as rerr:
assert "unknown_subroutine_" in str(rerr)