1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
|
"""
Test scalar buffer interface adheres to PEP 3118
"""
import numpy as np
from numpy.core._rational_tests import rational
from numpy.core._multiarray_tests import get_buffer_info
import pytest
from numpy.testing import assert_, assert_equal, assert_raises
# PEP3118 format strings for native (standard alignment and byteorder) types
scalars_and_codes = [
(np.bool_, '?'),
(np.byte, 'b'),
(np.short, 'h'),
(np.intc, 'i'),
(np.int_, 'l'),
(np.longlong, 'q'),
(np.ubyte, 'B'),
(np.ushort, 'H'),
(np.uintc, 'I'),
(np.uint, 'L'),
(np.ulonglong, 'Q'),
(np.half, 'e'),
(np.single, 'f'),
(np.double, 'd'),
(np.longdouble, 'g'),
(np.csingle, 'Zf'),
(np.cdouble, 'Zd'),
(np.clongdouble, 'Zg'),
]
scalars_only, codes_only = zip(*scalars_and_codes)
class TestScalarPEP3118:
@pytest.mark.parametrize('scalar', scalars_only, ids=codes_only)
def test_scalar_match_array(self, scalar):
x = scalar()
a = np.array([], dtype=np.dtype(scalar))
mv_x = memoryview(x)
mv_a = memoryview(a)
assert_equal(mv_x.format, mv_a.format)
@pytest.mark.parametrize('scalar', scalars_only, ids=codes_only)
def test_scalar_dim(self, scalar):
x = scalar()
mv_x = memoryview(x)
assert_equal(mv_x.itemsize, np.dtype(scalar).itemsize)
assert_equal(mv_x.ndim, 0)
assert_equal(mv_x.shape, ())
assert_equal(mv_x.strides, ())
assert_equal(mv_x.suboffsets, ())
@pytest.mark.parametrize('scalar, code', scalars_and_codes, ids=codes_only)
def test_scalar_code_and_properties(self, scalar, code):
x = scalar()
expected = dict(strides=(), itemsize=x.dtype.itemsize, ndim=0,
shape=(), format=code, readonly=True)
mv_x = memoryview(x)
assert self._as_dict(mv_x) == expected
@pytest.mark.parametrize('scalar', scalars_only, ids=codes_only)
def test_scalar_buffers_readonly(self, scalar):
x = scalar()
with pytest.raises(BufferError, match="scalar buffer is readonly"):
get_buffer_info(x, ["WRITABLE"])
def test_void_scalar_structured_data(self):
dt = np.dtype([('name', np.str_, 16), ('grades', np.float64, (2,))])
x = np.array(('ndarray_scalar', (1.2, 3.0)), dtype=dt)[()]
assert_(isinstance(x, np.void))
mv_x = memoryview(x)
expected_size = 16 * np.dtype((np.str_, 1)).itemsize
expected_size += 2 * np.dtype(np.float64).itemsize
assert_equal(mv_x.itemsize, expected_size)
assert_equal(mv_x.ndim, 0)
assert_equal(mv_x.shape, ())
assert_equal(mv_x.strides, ())
assert_equal(mv_x.suboffsets, ())
# check scalar format string against ndarray format string
a = np.array([('Sarah', (8.0, 7.0)), ('John', (6.0, 7.0))], dtype=dt)
assert_(isinstance(a, np.ndarray))
mv_a = memoryview(a)
assert_equal(mv_x.itemsize, mv_a.itemsize)
assert_equal(mv_x.format, mv_a.format)
# Check that we do not allow writeable buffer export (technically
# we could allow it sometimes here...)
with pytest.raises(BufferError, match="scalar buffer is readonly"):
get_buffer_info(x, ["WRITABLE"])
def _as_dict(self, m):
return dict(strides=m.strides, shape=m.shape, itemsize=m.itemsize,
ndim=m.ndim, format=m.format, readonly=m.readonly)
def test_datetime_memoryview(self):
# gh-11656
# Values verified with v1.13.3, shape is not () as in test_scalar_dim
dt1 = np.datetime64('2016-01-01')
dt2 = np.datetime64('2017-01-01')
expected = dict(strides=(1,), itemsize=1, ndim=1, shape=(8,),
format='B', readonly=True)
v = memoryview(dt1)
assert self._as_dict(v) == expected
v = memoryview(dt2 - dt1)
assert self._as_dict(v) == expected
dt = np.dtype([('a', 'uint16'), ('b', 'M8[s]')])
a = np.empty(1, dt)
# Fails to create a PEP 3118 valid buffer
assert_raises((ValueError, BufferError), memoryview, a[0])
# Check that we do not allow writeable buffer export
with pytest.raises(BufferError, match="scalar buffer is readonly"):
get_buffer_info(dt1, ["WRITABLE"])
@pytest.mark.parametrize('s', [
pytest.param("\x32\x32", id="ascii"),
pytest.param("\uFE0F\uFE0F", id="basic multilingual"),
pytest.param("\U0001f4bb\U0001f4bb", id="non-BMP"),
])
def test_str_ucs4(self, s):
s = np.str_(s) # only our subclass implements the buffer protocol
# all the same, characters always encode as ucs4
expected = dict(strides=(), itemsize=8, ndim=0, shape=(), format='2w',
readonly=True)
v = memoryview(s)
assert self._as_dict(v) == expected
# integers of the paltform-appropriate endianness
code_points = np.frombuffer(v, dtype='i4')
assert_equal(code_points, [ord(c) for c in s])
# Check that we do not allow writeable buffer export
with pytest.raises(BufferError, match="scalar buffer is readonly"):
get_buffer_info(s, ["WRITABLE"])
def test_user_scalar_fails_buffer(self):
r = rational(1)
with assert_raises(TypeError):
memoryview(r)
# Check that we do not allow writeable buffer export
with pytest.raises(BufferError, match="scalar buffer is readonly"):
get_buffer_info(r, ["WRITABLE"])
|
