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