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# mode: run
# tag: numpy
"""
Test accepting NumPy arrays with arbitrary strides for zero- or one-sized
dimensions.
Thanks to Nathaniel Smith and Sebastian Berg.
See also:
Mailing list threads:
http://thread.gmane.org/gmane.comp.python.cython.devel/14762
http://thread.gmane.org/gmane.comp.python.cython.devel/14634
Detailed discussion of the difference between numpy/cython's current
definition of "contiguity", and the correct definition:
http://thread.gmane.org/gmane.comp.python.cython.devel/14634/focus=14640
The PR implementing NPY_RELAXED_STRIDES_CHECKING:
https://github.com/numpy/numpy/pull/3162
Another test case:
https://github.com/numpy/numpy/issues/2956
"""
import numpy as np
numpy_version = np.__version__.split('.')[:2]
try:
numpy_version = tuple(map(int, numpy_version))
except ValueError:
numpy_version = (20, 0)
NUMPY_HAS_RELAXED_STRIDES = (
numpy_version < (1, 8) or
np.ones((10, 1), order="C").flags.f_contiguous)
def test_one_sized(array):
"""
>>> contig = np.ascontiguousarray(np.arange(10, dtype=np.double)[::100])
>>> test_one_sized(contig)[0]
1.0
>>> a = np.arange(10, dtype=np.double)[::100]
>>> if NUMPY_HAS_RELAXED_STRIDES: print(test_one_sized(a)[0])
... else: print(1.0)
1.0
"""
cdef double[::1] a = array
a[0] += 1.
return array
def test_zero_sized(array):
"""
>>> contig = np.ascontiguousarray(np.arange(10, dtype=np.double)[100:200:10])
>>> _ = test_zero_sized(contig)
>>> a = np.arange(10, dtype=np.double)[100:200:10]
>>> if NUMPY_HAS_RELAXED_STRIDES: _ = test_zero_sized(a)
"""
cdef double[::1] a = array
return a
def test_zero_sized_multidim_ccontig(array):
"""
>>> contig = np.ascontiguousarray(np.zeros((4,4,4))[::2, 2:2, ::2])
>>> _ = test_zero_sized_multidim_ccontig(contig)
>>> a = np.zeros((4,4,4))[::2, 2:2, ::2]
>>> if NUMPY_HAS_RELAXED_STRIDES: _ = test_zero_sized_multidim_ccontig(a)
"""
cdef double[:, :, ::1] a = array
return a
def test_zero_sized_multidim_fcontig(array):
"""
>>> contig = np.ascontiguousarray(np.zeros((4,4,4))[::2, 2:2, ::2])
>>> _ = test_zero_sized_multidim_fcontig(contig)
>>> a = np.zeros((4,4,4))[::2, 2:2, ::2]
>>> if NUMPY_HAS_RELAXED_STRIDES: _ = test_zero_sized_multidim_fcontig(a)
"""
cdef double[::1, :, :] a = array
return a
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