Public bug reported:
[Impact] numpy has recently released a bugfix release fixing several bugs that
are severe or hard to workaround.
Full changelog:
* gh-4836: partition produces wrong results for multiple selections in equal
ranges
* gh-4656: Make fftpack._raw_fft threadsafe
* gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin
* gh-4642: Hold GIL for converting dtypes types with fields
* gh-4733: fix np.linalg.svd(b, compute_uv=False)
* gh-4853: avoid unaligned simd load on reductions on i386
* gh-4722: Fix seg fault converting empty string to object
* gh-4613: Fix lack of NULL check in array_richcompare
* gh-4774: avoid unaligned access for strided byteswap
* gh-650: Prevent division by zero when creating arrays from some buffers
* gh-4602: ifort has issues with optimization flag O2, use O1
[Test case]
the partition issue is the most severe:
python
d = np.array([0, 1, 2, 3, 4, 5, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,7, 7, 7, 7, 7,
9])
kth = [0, 3, 19, 20]
np.partition(d, kth)[kth]
output:
array([7, 3, 7, 7])
expected:
(0, 3, 7, 7)
[Regression potential]
low, the fixes where intentionally kept simple to avoid regressions.
the test coverage of numpy is good and most of its dependencies (scipy, pandas,
pytables, ..) have tested the release via their own extensive testsuites.
** Affects: python-numpy (Ubuntu)
Importance: Undecided
Status: New
** Description changed:
[Impact] numpy has recently released a bugfix release fixing several bugs
that are severe or hard to workaround.
Full changelog:
+
+ * gh-4836: partition produces wrong results for multiple selections in equal
ranges
+ * gh-4656: Make fftpack._raw_fft threadsafe
+ * gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin
+ * gh-4642: Hold GIL for converting dtypes types with fields
+ * gh-4733: fix np.linalg.svd(b, compute_uv=False)
+ * gh-4853: avoid unaligned simd load on reductions on i386
+ * gh-4722: Fix seg fault converting empty string to object
+ * gh-4613: Fix lack of NULL check in array_richcompare
+ * gh-4774: avoid unaligned access for strided byteswap
+ * gh-650: Prevent division by zero when creating arrays from some buffers
+ * gh-4602: ifort has issues with optimization flag O2, use O1
+
[Test case]
the partition issue is the most severe:
python
d = np.array([0, 1, 2, 3, 4, 5, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,7, 7, 7, 7,
7, 9])
kth = [0, 3, 19, 20]
np.partition(d, kth)[kth]
output:
array([7, 3, 7, 7])
expected:
(0, 3, 7, 7)
[Regression potential]
low, the fixes where intentionally kept simple to avoid regressions.
the test coverage of numpy is good and most of its dependencies (scipy,
pandas, pytables, ..) have tested the release via their own extensive
testsuites.
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https://bugs.launchpad.net/bugs/1358870
Title:
update numpy to 1.8.2 in trusty
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