virtuelle Umgebungen teil20 und teil20a
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import os
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import pytest
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import numpy as np
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from . import util
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class TestIntentInOut(util.F2PyTest):
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# Check that intent(in out) translates as intent(inout)
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sources = [util.getpath("tests", "src", "regression", "inout.f90")]
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@pytest.mark.slow
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def test_inout(self):
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# non-contiguous should raise error
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x = np.arange(6, dtype=np.float32)[::2]
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pytest.raises(ValueError, self.module.foo, x)
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# check values with contiguous array
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x = np.arange(3, dtype=np.float32)
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self.module.foo(x)
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assert np.allclose(x, [3, 1, 2])
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class TestNegativeBounds(util.F2PyTest):
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# Check that negative bounds work correctly
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sources = [util.getpath("tests", "src", "negative_bounds", "issue_20853.f90")]
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@pytest.mark.slow
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def test_negbound(self):
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xvec = np.arange(12)
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xlow = -6
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xhigh = 4
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# Calculate the upper bound,
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# Keeping the 1 index in mind
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def ubound(xl, xh):
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return xh - xl + 1
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rval = self.module.foo(is_=xlow, ie_=xhigh,
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arr=xvec[:ubound(xlow, xhigh)])
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expval = np.arange(11, dtype = np.float32)
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assert np.allclose(rval, expval)
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class TestNumpyVersionAttribute(util.F2PyTest):
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# Check that th attribute __f2py_numpy_version__ is present
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# in the compiled module and that has the value np.__version__.
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sources = [util.getpath("tests", "src", "regression", "inout.f90")]
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@pytest.mark.slow
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def test_numpy_version_attribute(self):
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# Check that self.module has an attribute named "__f2py_numpy_version__"
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assert hasattr(self.module, "__f2py_numpy_version__")
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# Check that the attribute __f2py_numpy_version__ is a string
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assert isinstance(self.module.__f2py_numpy_version__, str)
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# Check that __f2py_numpy_version__ has the value numpy.__version__
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assert np.__version__ == self.module.__f2py_numpy_version__
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def test_include_path():
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incdir = np.f2py.get_include()
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fnames_in_dir = os.listdir(incdir)
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for fname in ("fortranobject.c", "fortranobject.h"):
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assert fname in fnames_in_dir
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