Stop py::array_t arguments from accepting arrays that do not match the C- or F-contiguity flags (#2484)

* Stop py::array_t arguments from accepting arrays that do not match the C- or F-contiguity flags

* Add trivially-contiguous arrays to the tests

include/pybind11/numpy.h

@@ -934,7 +934,8 @@ public:
     static bool check_(handle h) {
         const auto &api = detail::npy_api::get();
         return api.PyArray_Check_(h.ptr())
-               && api.PyArray_EquivTypes_(detail::array_proxy(h.ptr())->descr, dtype::of<T>().ptr());
+               && api.PyArray_EquivTypes_(detail::array_proxy(h.ptr())->descr, dtype::of<T>().ptr())
+               && detail::check_flags(h.ptr(), ExtraFlags & (array::c_style | array::f_style));
     }
 
 protected:

tests/test_numpy_array.cpp

@@ -385,4 +385,42 @@ TEST_SUBMODULE(numpy_array, sm) {
     sm.def("index_using_ellipsis", [](py::array a) {
         return a[py::make_tuple(0, py::ellipsis(), 0)];
     });
+
+    // test_argument_conversions
+    sm.def("accept_double",
+           [](py::array_t<double, 0>) {},
+           py::arg("a"));
+    sm.def("accept_double_forcecast",
+           [](py::array_t<double, py::array::forcecast>) {},
+           py::arg("a"));
+    sm.def("accept_double_c_style",
+           [](py::array_t<double, py::array::c_style>) {},
+           py::arg("a"));
+    sm.def("accept_double_c_style_forcecast",
+           [](py::array_t<double, py::array::forcecast | py::array::c_style>) {},
+           py::arg("a"));
+    sm.def("accept_double_f_style",
+           [](py::array_t<double, py::array::f_style>) {},
+           py::arg("a"));
+    sm.def("accept_double_f_style_forcecast",
+           [](py::array_t<double, py::array::forcecast | py::array::f_style>) {},
+           py::arg("a"));
+    sm.def("accept_double_noconvert",
+           [](py::array_t<double, 0>) {},
+           py::arg("a").noconvert());
+    sm.def("accept_double_forcecast_noconvert",
+           [](py::array_t<double, py::array::forcecast>) {},
+           py::arg("a").noconvert());
+    sm.def("accept_double_c_style_noconvert",
+           [](py::array_t<double, py::array::c_style>) {},
+           py::arg("a").noconvert());
+    sm.def("accept_double_c_style_forcecast_noconvert",
+           [](py::array_t<double, py::array::forcecast | py::array::c_style>) {},
+           py::arg("a").noconvert());
+    sm.def("accept_double_f_style_noconvert",
+           [](py::array_t<double, py::array::f_style>) {},
+           py::arg("a").noconvert());
+    sm.def("accept_double_f_style_forcecast_noconvert",
+           [](py::array_t<double, py::array::forcecast | py::array::f_style>) {},
+           py::arg("a").noconvert());
 }

tests/test_numpy_array.py

@@ -435,6 +435,52 @@ def test_index_using_ellipsis():
     assert a.shape == (6,)
 
 
+@pytest.mark.parametrize("forcecast", [False, True])
+@pytest.mark.parametrize("contiguity", [None, 'C', 'F'])
+@pytest.mark.parametrize("noconvert", [False, True])
+@pytest.mark.filterwarnings(
+    "ignore:Casting complex values to real discards the imaginary part:numpy.ComplexWarning"
+)
+def test_argument_conversions(forcecast, contiguity, noconvert):
+    function_name = "accept_double"
+    if contiguity == 'C':
+        function_name += "_c_style"
+    elif contiguity == 'F':
+        function_name += "_f_style"
+    if forcecast:
+        function_name += "_forcecast"
+    if noconvert:
+        function_name += "_noconvert"
+    function = getattr(m, function_name)
+
+    for dtype in [np.dtype('float32'), np.dtype('float64'), np.dtype('complex128')]:
+        for order in ['C', 'F']:
+            for shape in [(2, 2), (1, 3, 1, 1), (1, 1, 1), (0,)]:
+                if not noconvert:
+                    # If noconvert is not passed, only complex128 needs to be truncated and
+                    # "cannot be safely obtained". So without `forcecast`, the argument shouldn't
+                    # be accepted.
+                    should_raise = dtype.name == 'complex128' and not forcecast
+                else:
+                    # If noconvert is passed, only float64 and the matching order is accepted.
+                    # If at most one dimension has a size greater than 1, the array is also
+                    # trivially contiguous.
+                    trivially_contiguous = sum(1 for d in shape if d > 1) <= 1
+                    should_raise = (
+                        dtype.name != 'float64' or
+                        (contiguity is not None and
+                         contiguity != order and
+                         not trivially_contiguous)
+                    )
+
+                array = np.zeros(shape, dtype=dtype, order=order)
+                if not should_raise:
+                    function(array)
+                else:
+                    with pytest.raises(TypeError, match="incompatible function arguments"):
+                        function(array)
+
+
 @pytest.mark.xfail("env.PYPY")
 def test_dtype_refcount_leak():
     from sys import getrefcount