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
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
|
import re
import pytest
with pytest.suppress(ImportError):
import numpy as np
@pytest.fixture(scope='module')
def simple_dtype():
return np.dtype({'names': ['x', 'y', 'z'],
'formats': ['?', 'u4', 'f4'],
'offsets': [0, 4, 8]})
@pytest.fixture(scope='module')
def packed_dtype():
return np.dtype([('x', '?'), ('y', 'u4'), ('z', 'f4')])
def assert_equal(actual, expected_data, expected_dtype):
np.testing.assert_equal(actual, np.array(expected_data, dtype=expected_dtype))
@pytest.requires_numpy
def test_format_descriptors():
from pybind11_tests import get_format_unbound, print_format_descriptors
with pytest.raises(RuntimeError) as excinfo:
get_format_unbound()
assert re.match('^NumPy type info missing for .*UnboundStruct.*$', str(excinfo.value))
assert print_format_descriptors() == [
"T{?:x:3xI:y:f:z:}",
"T{?:x:=I:y:=f:z:}",
"T{T{?:x:3xI:y:f:z:}:a:T{?:x:=I:y:=f:z:}:b:}",
"T{?:x:3xI:y:f:z:12x}",
"T{8xT{?:x:3xI:y:f:z:12x}:a:8x}",
"T{3s:a:3s:b:}",
'T{q:e1:B:e2:}'
]
@pytest.requires_numpy
def test_dtype(simple_dtype):
from pybind11_tests import (print_dtypes, test_dtype_ctors, test_dtype_methods,
trailing_padding_dtype, buffer_to_dtype)
assert print_dtypes() == [
"{'names':['x','y','z'], 'formats':['?','<u4','<f4'], 'offsets':[0,4,8], 'itemsize':12}",
"[('x', '?'), ('y', '<u4'), ('z', '<f4')]",
"[('a', {'names':['x','y','z'], 'formats':['?','<u4','<f4'], 'offsets':[0,4,8],"
" 'itemsize':12}), ('b', [('x', '?'), ('y', '<u4'), ('z', '<f4')])]",
"{'names':['x','y','z'], 'formats':['?','<u4','<f4'], 'offsets':[0,4,8], 'itemsize':24}",
"{'names':['a'], 'formats':[{'names':['x','y','z'], 'formats':['?','<u4','<f4'],"
" 'offsets':[0,4,8], 'itemsize':24}], 'offsets':[8], 'itemsize':40}",
"[('a', 'S3'), ('b', 'S3')]",
"[('e1', '<i8'), ('e2', 'u1')]",
"[('x', 'i1'), ('y', '<u8')]"
]
d1 = np.dtype({'names': ['a', 'b'], 'formats': ['int32', 'float64'],
'offsets': [1, 10], 'itemsize': 20})
d2 = np.dtype([('a', 'i4'), ('b', 'f4')])
assert test_dtype_ctors() == [np.dtype('int32'), np.dtype('float64'),
np.dtype('bool'), d1, d1, np.dtype('uint32'), d2]
assert test_dtype_methods() == [np.dtype('int32'), simple_dtype, False, True,
np.dtype('int32').itemsize, simple_dtype.itemsize]
assert trailing_padding_dtype() == buffer_to_dtype(np.zeros(1, trailing_padding_dtype()))
@pytest.requires_numpy
def test_recarray(simple_dtype, packed_dtype):
from pybind11_tests import (create_rec_simple, create_rec_packed, create_rec_nested,
print_rec_simple, print_rec_packed, print_rec_nested,
create_rec_partial, create_rec_partial_nested)
elements = [(False, 0, 0.0), (True, 1, 1.5), (False, 2, 3.0)]
for func, dtype in [(create_rec_simple, simple_dtype), (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 print_rec_simple(arr) == [
"s:0,0,0",
"s:1,1,1.5",
"s:0,2,3"
]
else:
assert print_rec_packed(arr) == [
"p:0,0,0",
"p:1,1,1.5",
"p:0,2,3"
]
nested_dtype = np.dtype([('a', simple_dtype), ('b', packed_dtype)])
arr = create_rec_nested(0)
assert arr.dtype == nested_dtype
assert_equal(arr, [], nested_dtype)
arr = create_rec_nested(3)
assert arr.dtype == nested_dtype
assert_equal(arr, [((False, 0, 0.0), (True, 1, 1.5)),
((True, 1, 1.5), (False, 2, 3.0)),
((False, 2, 3.0), (True, 3, 4.5))], nested_dtype)
assert print_rec_nested(arr) == [
"n:a=s:0,0,0;b=p:1,1,1.5",
"n:a=s:1,1,1.5;b=p:0,2,3",
"n:a=s:0,2,3;b=p:1,3,4.5"
]
arr = create_rec_partial(3)
assert str(arr.dtype) == \
"{'names':['x','y','z'], 'formats':['?','<u4','<f4'], 'offsets':[0,4,8], 'itemsize':24}"
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 = create_rec_partial_nested(3)
assert str(arr.dtype) == \
"{'names':['a'], 'formats':[{'names':['x','y','z'], 'formats':['?','<u4','<f4']," \
" 'offsets':[0,4,8], 'itemsize':24}], 'offsets':[8], 'itemsize':40}"
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'], create_rec_partial(3))
@pytest.requires_numpy
def test_array_constructors():
from pybind11_tests import test_array_ctors
data = np.arange(1, 7, dtype='int32')
for i in range(8):
np.testing.assert_array_equal(test_array_ctors(10 + i), data.reshape((3, 2)))
np.testing.assert_array_equal(test_array_ctors(20 + i), data.reshape((3, 2)))
for i in range(5):
np.testing.assert_array_equal(test_array_ctors(30 + i), data)
np.testing.assert_array_equal(test_array_ctors(40 + i), data)
@pytest.requires_numpy
def test_string_array():
from pybind11_tests import create_string_array, print_string_array
arr = create_string_array(True)
assert str(arr.dtype) == "[('a', 'S3'), ('b', 'S3')]"
assert 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 = create_string_array(False)
assert dtype == arr.dtype
@pytest.requires_numpy
def test_enum_array():
from pybind11_tests import create_enum_array, print_enum_array
arr = create_enum_array(3)
dtype = arr.dtype
assert dtype == np.dtype([('e1', '<i8'), ('e2', 'u1')])
assert 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 create_enum_array(0).dtype == dtype
@pytest.requires_numpy
def test_signature(doc):
from pybind11_tests import create_rec_nested
assert doc(create_rec_nested) == "create_rec_nested(arg0: int) -> numpy.ndarray[NestedStruct]"
@pytest.requires_numpy
def test_scalar_conversion():
from pybind11_tests import (create_rec_simple, f_simple,
create_rec_packed, f_packed,
create_rec_nested, f_nested,
create_enum_array)
n = 3
arrays = [create_rec_simple(n), create_rec_packed(n),
create_rec_nested(n), create_enum_array(n)]
funcs = [f_simple, f_packed, 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)
@pytest.requires_numpy
def test_register_dtype():
from pybind11_tests import register_dtype
with pytest.raises(RuntimeError) as excinfo:
register_dtype()
assert 'dtype is already registered' in str(excinfo.value)
|