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Code Editor : test_regression.py
import os import pytest import numpy as np 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
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