import ctypes import io import struct import pytest import env from pybind11_tests import ConstructorStats from pybind11_tests import buffers as m np = pytest.importorskip("numpy") @pytest.mark.parametrize( ("cpp_name", "expected_fmts", "np_array_dtype"), [ ("PyObject *", ["O"], object), ("bool", ["?"], np.bool_), ("std::int8_t", ["b"], np.int8), ("std::uint8_t", ["B"], np.uint8), ("std::int16_t", ["h"], np.int16), ("std::uint16_t", ["H"], np.uint16), ("std::int32_t", ["i"], np.int32), ("std::uint32_t", ["I"], np.uint32), ("std::int64_t", ["q"], np.int64), ("std::uint64_t", ["Q"], np.uint64), ("float", ["f"], np.float32), ("double", ["d"], np.float64), ("long double", ["g", "d"], np.float128), ("std::complex", ["Zf"], np.complex64), ("std::complex", ["Zd"], np.complex128), ("std::complex", ["Zg", "Zd"], np.complex256), ], ) def test_format_descriptor_format(cpp_name, expected_fmts, np_array_dtype): fmt = m.format_descriptor_format(cpp_name) assert fmt in expected_fmts # Everything below just documents long-standing inconsistencies. # See also: https://github.com/pybind/pybind11/issues/1908 # py::format_descriptor<> vs np.array: na = np.array([], dtype=np_array_dtype) bi = m.get_buffer_info(na) if fmt == "q": assert bi.format in ["q", "l"] elif fmt == "Q": assert bi.format in ["Q", "L"] else: assert bi.format == fmt # py::format_descriptor<> vs np.format_parser(): fmtp = fmt[1:] if fmt.startswith("Z") else fmt fp = np.format_parser(fmtp, [], []) assert fp.dtype is not None # DO NOT try to compare fp.dtype and na.dtype, unless you have a lot of # spare time to make sense of it and possibly chime in under #1908. def test_from_python(): with pytest.raises(RuntimeError) as excinfo: m.Matrix(np.array([1, 2, 3])) # trying to assign a 1D array assert str(excinfo.value) == "Incompatible buffer format!" m3 = np.array([[1, 2, 3], [4, 5, 6]]).astype(np.float32) m4 = m.Matrix(m3) for i in range(m4.rows()): for j in range(m4.cols()): assert m3[i, j] == m4[i, j] cstats = ConstructorStats.get(m.Matrix) assert cstats.alive() == 1 del m3, m4 assert cstats.alive() == 0 assert cstats.values() == ["2x3 matrix"] assert cstats.copy_constructions == 0 # assert cstats.move_constructions >= 0 # Don't invoke any assert cstats.copy_assignments == 0 assert cstats.move_assignments == 0 # https://foss.heptapod.net/pypy/pypy/-/issues/2444 # TODO: fix on recent PyPy @pytest.mark.xfail( env.PYPY, reason="PyPy 7.3.7 doesn't clear this anymore", strict=False ) def test_to_python(): mat = m.Matrix(5, 4) assert memoryview(mat).shape == (5, 4) assert mat[2, 3] == 0 mat[2, 3] = 4.0 mat[3, 2] = 7.0 assert mat[2, 3] == 4 assert mat[3, 2] == 7 assert struct.unpack_from("f", mat, (3 * 4 + 2) * 4) == (7,) assert struct.unpack_from("f", mat, (2 * 4 + 3) * 4) == (4,) mat2 = np.array(mat, copy=False) assert mat2.shape == (5, 4) assert abs(mat2).sum() == 11 assert mat2[2, 3] == 4 assert mat2[3, 2] == 7 mat2[2, 3] = 5 assert mat2[2, 3] == 5 cstats = ConstructorStats.get(m.Matrix) assert cstats.alive() == 1 del mat pytest.gc_collect() assert cstats.alive() == 1 del mat2 # holds a mat reference pytest.gc_collect() assert cstats.alive() == 0 assert cstats.values() == ["5x4 matrix"] assert cstats.copy_constructions == 0 # assert cstats.move_constructions >= 0 # Don't invoke any assert cstats.copy_assignments == 0 assert cstats.move_assignments == 0 def test_inherited_protocol(): """SquareMatrix is derived from Matrix and inherits the buffer protocol""" matrix = m.SquareMatrix(5) assert memoryview(matrix).shape == (5, 5) assert np.asarray(matrix).shape == (5, 5) def test_pointer_to_member_fn(): for cls in [m.Buffer, m.ConstBuffer, m.DerivedBuffer]: buf = cls() buf.value = 0x12345678 value = struct.unpack("i", bytearray(buf))[0] assert value == 0x12345678 def test_readonly_buffer(): buf = m.BufferReadOnly(0x64) view = memoryview(buf) assert view[0] == 0x64 assert view.readonly with pytest.raises(TypeError): view[0] = 0 def test_selective_readonly_buffer(): buf = m.BufferReadOnlySelect() memoryview(buf)[0] = 0x64 assert buf.value == 0x64 io.BytesIO(b"A").readinto(buf) assert buf.value == ord(b"A") buf.readonly = True with pytest.raises(TypeError): memoryview(buf)[0] = 0 with pytest.raises(TypeError): io.BytesIO(b"1").readinto(buf) def test_ctypes_array_1d(): char1d = (ctypes.c_char * 10)() int1d = (ctypes.c_int * 15)() long1d = (ctypes.c_long * 7)() for carray in (char1d, int1d, long1d): info = m.get_buffer_info(carray) assert info.itemsize == ctypes.sizeof(carray._type_) assert info.size == len(carray) assert info.ndim == 1 assert info.shape == [info.size] assert info.strides == [info.itemsize] assert not info.readonly def test_ctypes_array_2d(): char2d = ((ctypes.c_char * 10) * 4)() int2d = ((ctypes.c_int * 15) * 3)() long2d = ((ctypes.c_long * 7) * 2)() for carray in (char2d, int2d, long2d): info = m.get_buffer_info(carray) assert info.itemsize == ctypes.sizeof(carray[0]._type_) assert info.size == len(carray) * len(carray[0]) assert info.ndim == 2 assert info.shape == [len(carray), len(carray[0])] assert info.strides == [info.itemsize * len(carray[0]), info.itemsize] assert not info.readonly def test_ctypes_from_buffer(): test_pystr = b"0123456789" for pyarray in (test_pystr, bytearray(test_pystr)): pyinfo = m.get_buffer_info(pyarray) if pyinfo.readonly: cbytes = (ctypes.c_char * len(pyarray)).from_buffer_copy(pyarray) cinfo = m.get_buffer_info(cbytes) else: cbytes = (ctypes.c_char * len(pyarray)).from_buffer(pyarray) cinfo = m.get_buffer_info(cbytes) assert cinfo.size == pyinfo.size assert cinfo.ndim == pyinfo.ndim assert cinfo.shape == pyinfo.shape assert cinfo.strides == pyinfo.strides assert not cinfo.readonly