[Numpy-discussion] ANN: NumPy 1.9.1 bugfix release

Julian Taylor jtaylor.debian at googlemail.com
Sun Nov 2 08:33:50 EST 2014


Hello,

We am pleased to announce the release of NumPy 1.9.1, a
bugfix only release for the 1.9.x series.
https://sourceforge.net/projects/numpy/files/NumPy/1.9.1/
The upgrade is recommended for all users of the 1.9.x series.

Following issues have been fixed:
* gh-5184: restore linear edge behaviour of gradient to as it was in < 1.9.
  The second order behaviour is available via the `edge_order` keyword
* gh-4007: workaround Accelerate sgemv crash on OSX 10.9
* gh-5100: restore object dtype inference from iterable objects without
`len()`
* gh-5163: avoid gcc-4.1.2 (red hat 5) miscompilation causing a crash
* gh-5138: fix nanmedian on arrays containing inf
* gh-5240: fix not returning out array from ufuncs with subok=False set
* gh-5203: copy inherited masks in MaskedArray.__array_finalize__
* gh-2317: genfromtxt did not handle filling_values=0 correctly
* gh-5067: restore api of npy_PyFile_DupClose in python2
* gh-5063: cannot convert invalid sequence index to tuple
* gh-5082: Segmentation fault with argmin() on unicode arrays
* gh-5095: don't propagate subtypes from np.where
* gh-5104: np.inner segfaults with SciPy's sparse matrices
* gh-5251: Issue with fromarrays not using correct format for unicode arrays
* gh-5136: Import dummy_threading if importing threading fails
* gh-5148: Make numpy import when run with Python flag '-OO'
* gh-5147: Einsum double contraction in particular order causes ValueError
* gh-479: Make f2py work with intent(in out)
* gh-5170: Make python2 .npy files readable in python3
* gh-5027: Use 'll' as the default length specifier for long long
* gh-4896: fix build error with MSVC 2013 caused by C99 complex support
* gh-4465: Make PyArray_PutTo respect writeable flag
* gh-5225: fix crash when using arange on datetime without dtype set
* gh-5231: fix build in c99 mode


The source distributions have been uploaded to PyPI. The Windows
installers, documentation and release notes can be found at:
https://sourceforge.net/projects/numpy/files/NumPy/1.9.1/

Cheers,
Julian Taylor

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