def test_buffer_info(self):
try:
from _numpypy import multiarray as np
except ImportError:
skip('pypy built without _numpypy')
module = self.import_module(name='buffer_test')
get_buffer_info = module.get_buffer_info
raises(ValueError, get_buffer_info, np.arange(5)[::2], ('SIMPLE', ))
arr = np.zeros((1, 10), order='F')
shape, strides = get_buffer_info(arr, ['F_CONTIGUOUS'])
assert strides[0] == 8
arr = np.zeros((10, 1), order='C')
shape, strides = get_buffer_info(arr, ['C_CONTIGUOUS'])
assert strides[-1] == 8
dt1 = np.dtype([('a', 'b'), ('b', 'i'), ('sub0', np.dtype('b,i')),
('sub1', np.dtype('b,i')), ('sub2', np.dtype('b,i')),
('sub3', np.dtype('b,i')), ('sub4', np.dtype('b,i')),
('sub5', np.dtype('b,i')), ('sub6', np.dtype('b,i')),
('sub7', np.dtype('b,i')), ('c', 'i')], )
x = np.arange(dt1.itemsize, dtype='int8').view(dt1)
# pytest can catch warnings from v2.8 and up, we ship 2.5
import warnings
warnings.filterwarnings("error")
try:
try:
y = get_buffer_info(x, ['SIMPLE'])
except UserWarning as e:
pass
else:
assert False ,"PyPy-specific UserWarning not raised" \
" on too long format string"
finally:
warnings.resetwarnings()
def test_buffer_info(self):
try:
from _numpypy import multiarray as np
except ImportError:
skip("pypy built without _numpypy")
module = self.import_module(name="buffer_test")
get_buffer_info = module.get_buffer_info
raises(ValueError, get_buffer_info, np.arange(5)[::2], ("SIMPLE",))
arr = np.zeros((1, 10), order="F")
shape, strides = get_buffer_info(arr, ["F_CONTIGUOUS"])
assert strides[0] == 8
arr = np.zeros((10, 1), order="C")
shape, strides = get_buffer_info(arr, ["C_CONTIGUOUS"])
assert strides[-1] == 8
dt1 = np.dtype(
[
("a", "b"),
("b", "i"),
("sub0", np.dtype("b,i")),
("sub1", np.dtype("b,i")),
("sub2", np.dtype("b,i")),
("sub3", np.dtype("b,i")),
("sub4", np.dtype("b,i")),
("sub5", np.dtype("b,i")),
("sub6", np.dtype("b,i")),
("sub7", np.dtype("b,i")),
("c", "i"),
]
)
x = np.arange(dt1.itemsize, dtype="int8").view(dt1)
# pytest can catch warnings from v2.8 and up, we ship 2.5
import warnings
warnings.filterwarnings("error")
try:
try:
y = get_buffer_info(x, ["SIMPLE"])
except UserWarning as e:
pass
else:
assert False, "PyPy-specific UserWarning not raised" " on too long format string"
finally:
warnings.resetwarnings()
def test_buffer_info(self):
try:
from _numpypy import multiarray as np
except ImportError:
skip('pypy built without _numpypy')
module = self.import_module(name='buffer_test')
get_buffer_info = module.get_buffer_info
raises(ValueError, get_buffer_info, np.arange(5)[::2], ('SIMPLE', ))
arr = np.zeros((1, 10), order='F')
shape, strides = get_buffer_info(arr, ['F_CONTIGUOUS'])
assert strides[0] == 8
arr = np.zeros((10, 1), order='C')
shape, strides = get_buffer_info(arr, ['C_CONTIGUOUS'])
assert strides[-1] == 8
dt1 = np.dtype([('a', 'b'), ('b', 'i'), ('sub0', np.dtype('b,i')),
('sub1', np.dtype('b,i')), ('sub2', np.dtype('b,i')),
('sub3', np.dtype('b,i')), ('sub4', np.dtype('b,i')),
('sub5', np.dtype('b,i')), ('sub6', np.dtype('b,i')),
('sub7', np.dtype('b,i')), ('c', 'i')], )
x = np.arange(dt1.itemsize, dtype='int8').view(dt1)
import pypytools
assert pypytools.IS_PYPY
from _numpypy.multiarray import dtype
_types = [
'bool_', 'int8', 'uint8', 'int16', 'uint16', 'int32', 'uint32', 'int64',
'uint64', 'float16', 'float32', 'float64', 'complex64', 'complex128',
'object'
]
for _typename in _types:
globals()[_typename] = dtype(_typename).type