ENH: add `numpy.f2py.get_include` function

This is useful for similar reasons as `numpy.get_include`,
see https://github.com/numpy/numpy/issues/14960#issuecomment-846460159

1 files changed, 14 insertions, 6 deletions

diff --git a/numpy/f2py/tests/test_regression.py b/numpy/f2py/tests/test_regression.py
index a1b772069..b91499e4a 100644
--- a/numpy/f2py/tests/test_regression.py
+++ b/numpy/f2py/tests/test_regression.py
@@ -25,23 +25,31 @@ class TestIntentInOut(util.F2PyTest):
         x = np.arange(3, dtype=np.float32)
         self.module.foo(x)
         assert_equal(x, [3, 1, 2])
- 
+
 
 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 = [_path('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__"), 
+        assert_(hasattr(self.module, "__f2py_numpy_version__"),
                 msg="Fortran module does not have __f2py_numpy_version__")
-        
+
         # Check that the attribute __f2py_numpy_version__ is a string
         assert_(isinstance(self.module.__f2py_numpy_version__, str),
                 msg="__f2py_numpy_version__ is not a string")
-        
+
         # Check that __f2py_numpy_version__ has the value numpy.__version__
         assert_string_equal(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
+