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Diffstat (limited to '3rdparty/pybind11/tests/test_numpy_dtypes.py')
| -rw-r--r-- | 3rdparty/pybind11/tests/test_numpy_dtypes.py | 310 |
1 files changed, 310 insertions, 0 deletions
diff --git a/3rdparty/pybind11/tests/test_numpy_dtypes.py b/3rdparty/pybind11/tests/test_numpy_dtypes.py new file mode 100644 index 00000000..2e638851 --- /dev/null +++ b/3rdparty/pybind11/tests/test_numpy_dtypes.py @@ -0,0 +1,310 @@ +import re +import pytest +from pybind11_tests import numpy_dtypes as m + +pytestmark = pytest.requires_numpy + +with pytest.suppress(ImportError): + import numpy as np + + +@pytest.fixture(scope='module') +def simple_dtype(): + ld = np.dtype('longdouble') + return np.dtype({'names': ['bool_', 'uint_', 'float_', 'ldbl_'], + 'formats': ['?', 'u4', 'f4', 'f{}'.format(ld.itemsize)], + 'offsets': [0, 4, 8, (16 if ld.alignment > 4 else 12)]}) + + +@pytest.fixture(scope='module') +def packed_dtype(): + return np.dtype([('bool_', '?'), ('uint_', 'u4'), ('float_', 'f4'), ('ldbl_', 'g')]) + + +def dt_fmt(): + from sys import byteorder + e = '<' if byteorder == 'little' else '>' + return ("{{'names':['bool_','uint_','float_','ldbl_']," + " 'formats':['?','" + e + "u4','" + e + "f4','" + e + "f{}']," + " 'offsets':[0,4,8,{}], 'itemsize':{}}}") + + +def simple_dtype_fmt(): + ld = np.dtype('longdouble') + simple_ld_off = 12 + 4 * (ld.alignment > 4) + return dt_fmt().format(ld.itemsize, simple_ld_off, simple_ld_off + ld.itemsize) + + +def packed_dtype_fmt(): + from sys import byteorder + return "[('bool_', '?'), ('uint_', '{e}u4'), ('float_', '{e}f4'), ('ldbl_', '{e}f{}')]".format( + np.dtype('longdouble').itemsize, e='<' if byteorder == 'little' else '>') + + +def partial_ld_offset(): + return 12 + 4 * (np.dtype('uint64').alignment > 4) + 8 + 8 * ( + np.dtype('longdouble').alignment > 8) + + +def partial_dtype_fmt(): + ld = np.dtype('longdouble') + partial_ld_off = partial_ld_offset() + return dt_fmt().format(ld.itemsize, partial_ld_off, partial_ld_off + ld.itemsize) + + +def partial_nested_fmt(): + ld = np.dtype('longdouble') + partial_nested_off = 8 + 8 * (ld.alignment > 8) + partial_ld_off = partial_ld_offset() + partial_nested_size = partial_nested_off * 2 + partial_ld_off + ld.itemsize + return "{{'names':['a'], 'formats':[{}], 'offsets':[{}], 'itemsize':{}}}".format( + partial_dtype_fmt(), partial_nested_off, partial_nested_size) + + +def assert_equal(actual, expected_data, expected_dtype): + np.testing.assert_equal(actual, np.array(expected_data, dtype=expected_dtype)) + + +def test_format_descriptors(): + with pytest.raises(RuntimeError) as excinfo: + m.get_format_unbound() + assert re.match('^NumPy type info missing for .*UnboundStruct.*$', str(excinfo.value)) + + ld = np.dtype('longdouble') + ldbl_fmt = ('4x' if ld.alignment > 4 else '') + ld.char + ss_fmt = "^T{?:bool_:3xI:uint_:f:float_:" + ldbl_fmt + ":ldbl_:}" + dbl = np.dtype('double') + partial_fmt = ("^T{?:bool_:3xI:uint_:f:float_:" + + str(4 * (dbl.alignment > 4) + dbl.itemsize + 8 * (ld.alignment > 8)) + + "xg:ldbl_:}") + nested_extra = str(max(8, ld.alignment)) + assert m.print_format_descriptors() == [ + ss_fmt, + "^T{?:bool_:I:uint_:f:float_:g:ldbl_:}", + "^T{" + ss_fmt + ":a:^T{?:bool_:I:uint_:f:float_:g:ldbl_:}:b:}", + partial_fmt, + "^T{" + nested_extra + "x" + partial_fmt + ":a:" + nested_extra + "x}", + "^T{3s:a:3s:b:}", + "^T{(3)4s:a:(2)i:b:(3)B:c:1x(4, 2)f:d:}", + '^T{q:e1:B:e2:}', + '^T{Zf:cflt:Zd:cdbl:}' + ] + + +def test_dtype(simple_dtype): + from sys import byteorder + e = '<' if byteorder == 'little' else '>' + + assert m.print_dtypes() == [ + simple_dtype_fmt(), + packed_dtype_fmt(), + "[('a', {}), ('b', {})]".format(simple_dtype_fmt(), packed_dtype_fmt()), + partial_dtype_fmt(), + partial_nested_fmt(), + "[('a', 'S3'), ('b', 'S3')]", + ("{{'names':['a','b','c','d'], " + + "'formats':[('S4', (3,)),('" + e + "i4', (2,)),('u1', (3,)),('" + e + "f4', (4, 2))], " + + "'offsets':[0,12,20,24], 'itemsize':56}}").format(e=e), + "[('e1', '" + e + "i8'), ('e2', 'u1')]", + "[('x', 'i1'), ('y', '" + e + "u8')]", + "[('cflt', '" + e + "c8'), ('cdbl', '" + e + "c16')]" + ] + + d1 = np.dtype({'names': ['a', 'b'], 'formats': ['int32', 'float64'], + 'offsets': [1, 10], 'itemsize': 20}) + d2 = np.dtype([('a', 'i4'), ('b', 'f4')]) + assert m.test_dtype_ctors() == [np.dtype('int32'), np.dtype('float64'), + np.dtype('bool'), d1, d1, np.dtype('uint32'), d2] + + assert m.test_dtype_methods() == [np.dtype('int32'), simple_dtype, False, True, + np.dtype('int32').itemsize, simple_dtype.itemsize] + + assert m.trailing_padding_dtype() == m.buffer_to_dtype(np.zeros(1, m.trailing_padding_dtype())) + + +def test_recarray(simple_dtype, packed_dtype): + elements = [(False, 0, 0.0, -0.0), (True, 1, 1.5, -2.5), (False, 2, 3.0, -5.0)] + + for func, dtype in [(m.create_rec_simple, simple_dtype), (m.create_rec_packed, packed_dtype)]: + arr = func(0) + assert arr.dtype == dtype + assert_equal(arr, [], simple_dtype) + assert_equal(arr, [], packed_dtype) + + arr = func(3) + assert arr.dtype == dtype + assert_equal(arr, elements, simple_dtype) + assert_equal(arr, elements, packed_dtype) + + if dtype == simple_dtype: + assert m.print_rec_simple(arr) == [ + "s:0,0,0,-0", + "s:1,1,1.5,-2.5", + "s:0,2,3,-5" + ] + else: + assert m.print_rec_packed(arr) == [ + "p:0,0,0,-0", + "p:1,1,1.5,-2.5", + "p:0,2,3,-5" + ] + + nested_dtype = np.dtype([('a', simple_dtype), ('b', packed_dtype)]) + + arr = m.create_rec_nested(0) + assert arr.dtype == nested_dtype + assert_equal(arr, [], nested_dtype) + + arr = m.create_rec_nested(3) + assert arr.dtype == nested_dtype + assert_equal(arr, [((False, 0, 0.0, -0.0), (True, 1, 1.5, -2.5)), + ((True, 1, 1.5, -2.5), (False, 2, 3.0, -5.0)), + ((False, 2, 3.0, -5.0), (True, 3, 4.5, -7.5))], nested_dtype) + assert m.print_rec_nested(arr) == [ + "n:a=s:0,0,0,-0;b=p:1,1,1.5,-2.5", + "n:a=s:1,1,1.5,-2.5;b=p:0,2,3,-5", + "n:a=s:0,2,3,-5;b=p:1,3,4.5,-7.5" + ] + + arr = m.create_rec_partial(3) + assert str(arr.dtype) == partial_dtype_fmt() + partial_dtype = arr.dtype + assert '' not in arr.dtype.fields + assert partial_dtype.itemsize > simple_dtype.itemsize + assert_equal(arr, elements, simple_dtype) + assert_equal(arr, elements, packed_dtype) + + arr = m.create_rec_partial_nested(3) + assert str(arr.dtype) == partial_nested_fmt() + assert '' not in arr.dtype.fields + assert '' not in arr.dtype.fields['a'][0].fields + assert arr.dtype.itemsize > partial_dtype.itemsize + np.testing.assert_equal(arr['a'], m.create_rec_partial(3)) + + +def test_array_constructors(): + data = np.arange(1, 7, dtype='int32') + for i in range(8): + np.testing.assert_array_equal(m.test_array_ctors(10 + i), data.reshape((3, 2))) + np.testing.assert_array_equal(m.test_array_ctors(20 + i), data.reshape((3, 2))) + for i in range(5): + np.testing.assert_array_equal(m.test_array_ctors(30 + i), data) + np.testing.assert_array_equal(m.test_array_ctors(40 + i), data) + + +def test_string_array(): + arr = m.create_string_array(True) + assert str(arr.dtype) == "[('a', 'S3'), ('b', 'S3')]" + assert m.print_string_array(arr) == [ + "a='',b=''", + "a='a',b='a'", + "a='ab',b='ab'", + "a='abc',b='abc'" + ] + dtype = arr.dtype + assert arr['a'].tolist() == [b'', b'a', b'ab', b'abc'] + assert arr['b'].tolist() == [b'', b'a', b'ab', b'abc'] + arr = m.create_string_array(False) + assert dtype == arr.dtype + + +def test_array_array(): + from sys import byteorder + e = '<' if byteorder == 'little' else '>' + + arr = m.create_array_array(3) + assert str(arr.dtype) == ( + "{{'names':['a','b','c','d'], " + + "'formats':[('S4', (3,)),('" + e + "i4', (2,)),('u1', (3,)),('{e}f4', (4, 2))], " + + "'offsets':[0,12,20,24], 'itemsize':56}}").format(e=e) + assert m.print_array_array(arr) == [ + "a={{A,B,C,D},{K,L,M,N},{U,V,W,X}},b={0,1}," + + "c={0,1,2},d={{0,1},{10,11},{20,21},{30,31}}", + "a={{W,X,Y,Z},{G,H,I,J},{Q,R,S,T}},b={1000,1001}," + + "c={10,11,12},d={{100,101},{110,111},{120,121},{130,131}}", + "a={{S,T,U,V},{C,D,E,F},{M,N,O,P}},b={2000,2001}," + + "c={20,21,22},d={{200,201},{210,211},{220,221},{230,231}}", + ] + assert arr['a'].tolist() == [[b'ABCD', b'KLMN', b'UVWX'], + [b'WXYZ', b'GHIJ', b'QRST'], + [b'STUV', b'CDEF', b'MNOP']] + assert arr['b'].tolist() == [[0, 1], [1000, 1001], [2000, 2001]] + assert m.create_array_array(0).dtype == arr.dtype + + +def test_enum_array(): + from sys import byteorder + e = '<' if byteorder == 'little' else '>' + + arr = m.create_enum_array(3) + dtype = arr.dtype + assert dtype == np.dtype([('e1', e + 'i8'), ('e2', 'u1')]) + assert m.print_enum_array(arr) == [ + "e1=A,e2=X", + "e1=B,e2=Y", + "e1=A,e2=X" + ] + assert arr['e1'].tolist() == [-1, 1, -1] + assert arr['e2'].tolist() == [1, 2, 1] + assert m.create_enum_array(0).dtype == dtype + + +def test_complex_array(): + from sys import byteorder + e = '<' if byteorder == 'little' else '>' + + arr = m.create_complex_array(3) + dtype = arr.dtype + assert dtype == np.dtype([('cflt', e + 'c8'), ('cdbl', e + 'c16')]) + assert m.print_complex_array(arr) == [ + "c:(0,0.25),(0.5,0.75)", + "c:(1,1.25),(1.5,1.75)", + "c:(2,2.25),(2.5,2.75)" + ] + assert arr['cflt'].tolist() == [0.0 + 0.25j, 1.0 + 1.25j, 2.0 + 2.25j] + assert arr['cdbl'].tolist() == [0.5 + 0.75j, 1.5 + 1.75j, 2.5 + 2.75j] + assert m.create_complex_array(0).dtype == dtype + + +def test_signature(doc): + assert doc(m.create_rec_nested) == \ + "create_rec_nested(arg0: int) -> numpy.ndarray[NestedStruct]" + + +def test_scalar_conversion(): + n = 3 + arrays = [m.create_rec_simple(n), m.create_rec_packed(n), + m.create_rec_nested(n), m.create_enum_array(n)] + funcs = [m.f_simple, m.f_packed, m.f_nested] + + for i, func in enumerate(funcs): + for j, arr in enumerate(arrays): + if i == j and i < 2: + assert [func(arr[k]) for k in range(n)] == [k * 10 for k in range(n)] + else: + with pytest.raises(TypeError) as excinfo: + func(arr[0]) + assert 'incompatible function arguments' in str(excinfo.value) + + +def test_register_dtype(): + with pytest.raises(RuntimeError) as excinfo: + m.register_dtype() + assert 'dtype is already registered' in str(excinfo.value) + + +@pytest.unsupported_on_pypy +def test_str_leak(): + from sys import getrefcount + fmt = "f4" + pytest.gc_collect() + start = getrefcount(fmt) + d = m.dtype_wrapper(fmt) + assert d is np.dtype("f4") + del d + pytest.gc_collect() + assert getrefcount(fmt) == start + + +def test_compare_buffer_info(): + assert all(m.compare_buffer_info()) |