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scipy-0.14.1-win32-superpack-python3.4.exe 2014-12-30 58.0 MB
scipy-0.14.1-win32-superpack-python3.3.exe 2014-12-30 58.5 MB
scipy-0.14.1-win32-superpack-python3.2.exe 2014-12-30 61.3 MB
scipy-0.14.1-win32-superpack-python2.7.exe 2014-12-30 62.7 MB
scipy-0.14.1-win32-superpack-python2.6.exe 2014-12-30 62.7 MB
scipy-0.14.1.zip 2014-12-30 12.2 MB
scipy-0.14.1.tar.xz 2014-12-30 7.7 MB
scipy-0.14.1.tar.gz 2014-12-30 10.9 MB
Changelog 2014-12-30 13.8 kB
README 2014-12-30 4.5 kB
Totals: 10 Items   334.1 MB 1
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==========================
SciPy 0.14.1 Release Notes
==========================

SciPy 0.14.1 is a bug-fix release with no new features compared to 0.14.0.


Issues closed
- -------------

- - `#3630 <https://github.com/scipy/scipy/issues/3630>`__: NetCDF reading results in a segfault
- - `#3631 <https://github.com/scipy/scipy/issues/3631>`__: SuperLU object not working as expected for complex matrices
- - `#3733 <https://github.com/scipy/scipy/issues/3733>`__: segfault from map_coordinates
- - `#3780 <https://github.com/scipy/scipy/issues/3780>`__: Segfault when using CSR/CSC matrix and uint32/uint64
- - `#3781 <https://github.com/scipy/scipy/pull/3781>`__: BUG: sparse: fix omitted types in sparsetools typemaps
- - `#3802 <https://github.com/scipy/scipy/issues/3802>`__: 0.14.0 API breakage: _gen generators are missing from scipy.stats.distributions API
- - `#3805 <https://github.com/scipy/scipy/issues/3805>`__: ndimage test failures with numpy 1.10
- - `#3812 <https://github.com/scipy/scipy/issues/3812>`__: == sometimes wrong on csr_matrix
- - `#3853 <https://github.com/scipy/scipy/issues/3853>`__: Many scipy.sparse test errors/failures with numpy 1.9.0b2
- - `#4084 <https://github.com/scipy/scipy/pull/4084>`__: fix exception declarations for Cython 0.21.1 compatibility
- - `#4093 <https://github.com/scipy/scipy/pull/4093>`__: BUG: fitpack: avoid a memory error in splev(x, tck, der=k)
- - `#4104 <https://github.com/scipy/scipy/pull/4104>`__: BUG: Workaround SGEMV segfault in Accelerate (maintenance 0.14.x)
- - `#4143 <https://github.com/scipy/scipy/pull/4143>`__: BUG: fix ndimage functions for large data
- - `#4149 <https://github.com/scipy/scipy/issues/4149>`__: Bug in expm for integer arrays
- - `#4154 <https://github.com/scipy/scipy/issues/4154>`__: Backport gh-4041 for 0.14.1 (Ensure that the 'size' argument of PIL's 'resize' method is a tuple)
- - `#4163 <https://github.com/scipy/scipy/issues/4163>`__: Backport #4142 (ZeroDivisionError in scipy.sparse.linalg.lsqr)
- - `#4164 <https://github.com/scipy/scipy/issues/4164>`__: Backport gh-4153 (remove use of deprecated numpy API in lib/lapack/ f2py wrapper)
- - `#4180 <https://github.com/scipy/scipy/pull/4180>`__: backport pil resize support tuple fix
- - `#4168 <https://github.com/scipy/scipy/issues/4168>`__: Lots of arpack test failures on windows 32 bits with numpy 1.9.1
- - `#4203 <https://github.com/scipy/scipy/issues/4203>`__: Matrix multiplication in 0.14.x is more than 10x slower compared...
- - `#4218 <https://github.com/scipy/scipy/pull/4218>`__: attempt to make ndimage interpolation compatible with numpy relaxed...
- - `#4225 <https://github.com/scipy/scipy/pull/4225>`__: BUG: off-by-one error in PPoly shape checks
- - `#4248 <https://github.com/scipy/scipy/pull/4248>`__: BUG: optimize: fix issue with incorrect use of closure for slsqp.

Checksums
=========

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Source: README, updated 2014-12-30