File python-scipy.changes of Package python-scipy

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File python-scipy.changes of Package python-scipy (Revision 66d521e83c0b648c8140a00238b7ce6c)

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Mon Aug 11 08:53:11 UTC 2014 - toddrme2178@gmail.com

- Switch to pypi download location
- Minor spec file cleanups

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Fri May 30 15:06:23 UTC 2014 - toddrme2178@gmail.com

- Mark python-scipy-weave as deprecated.
  Please use python-weave package instead.

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Thu May  8 10:16:00 UTC 2014 - toddrme2178@gmail.com

- Update to version 0.14.0
  * New features
    * scipy.interpolate improvements
      * A new wrapper function `scipy.interpolate.interpn` for 
        interpolation onregular grids has been added. `interpn` 
        supports linear and nearest-neighbor interpolation in 
        arbitrary dimensions and spline interpolation in two 
        dimensions.
      * Faster implementations of piecewise polynomials in power 
        and Bernstein polynomial bases have been added as 
        `scipy.interpolate.PPoly` and `scipy.interpolate.BPoly`. 
        New users should use these in favor of 
        `scipy.interpolate.PiecewisePolynomial`.
      * `scipy.interpolate.interp1d` now accepts non-monotonic 
        inputs and sorts them.  If performance is critical, sorting 
        can be turned off by using the new ``assume_sorted`` 
        keyword.
      * Functionality for evaluation of bivariate spline 
        derivatives in ``scipy.interpolate`` has been added.
      * The new class `scipy.interpolate.Akima1DInterpolator` 
        implements the piecewise cubic polynomial interpolation 
        scheme devised by H. Akima.
      * Functionality for fast interpolation on regular, unevenly 
        spaced grids in arbitrary dimensions has been added as 
        `scipy.interpolate.RegularGridInterpolator` .
    * ``scipy.linalg`` improvements
      * The new function `scipy.linalg.dft` computes the matrix of 
        the discrete Fourier transform.
      * A condition number estimation function for matrix 
        exponential, `scipy.linalg.expm_cond`, has been added.
    * ``scipy.optimize`` improvements
      * A set of benchmarks for optimize, which can be run with 
        ``optimize.bench()``, has been added.
      * `scipy.optimize.curve_fit` now has more controllable error 
        estimation via the ``absolute_sigma`` keyword.
      * Support for passing custom minimization methods to 
        ``optimize.minimize()``  and ``optimize.minimize_scalar()``
        has been added, currently useful especially for combining
        ``optimize.basinhopping()`` with custom local optimizer 
        routines.
    * ``scipy.stats`` improvements
      * A new class `scipy.stats.multivariate_normal` with 
        functionality for  multivariate normal random variables 
        has been added.
      * A lot of work on the ``scipy.stats`` distribution framework 
        has been done.  Moment calculations (skew and kurtosis 
        mainly) are fixed and verified, all examples are now 
        runnable, and many small accuracy and performance 
        improvements for individual distributions were merged.
      * The new function `scipy.stats.anderson_ksamp` computes the 
        k-sample Anderson-Darling test for the null hypothesis that 
        k samples come from the same parent population.
    * ``scipy.signal`` improvements
      * ``scipy.signal.iirfilter`` and related functions to design 
        Butterworth, Chebyshev, elliptical and Bessel IIR filters 
        now all use pole-zero ("zpk") format internally instead of 
        using transformations to numerator/denominator format.  
        The accuracy of the produced filters, especially high-order
        ones, is improved significantly as a result.
      * The new function `scipy.signal.vectorstrength` computes the 
        vector strength, a measure of phase synchrony, of a set of 
        events.
    * ``scipy.special`` improvements
      * The functions `scipy.special.boxcox` and 
        `scipy.special.boxcox1p`, which compute the 
        Box-Cox  transformation, have been added.
    * ``scipy.sparse`` improvements
      * Significant performance improvement in CSR, CSC, and DOK 
        indexing speed. 
      * When using Numpy >= 1.9 (to be released in MM 2014), sparse 
        matrices function correctly when given to arguments of 
        ``np.dot``, ``np.multiply`` and other ufuncs.  
        With earlier Numpy and Scipy versions, the results of such 
        operations are undefined and usually unexpected. 
      * Sparse matrices are no longer limited to ``2^31`` nonzero 
        elements.  They automatically switch to using 64-bit index 
        data type for matrices containing more elements.  User code 
        written assuming the sparse matrices use int32 as the index 
        data type will continue to work, except for such large 
        matrices. Code dealing with larger matrices needs to accept 
        either int32 or int64 indices. 
  * Deprecated features
    * ``anneal``
      * The global minimization function `scipy.optimize.anneal` is 
        deprecated.  All users should use the 
        `scipy.optimize.basinhopping` function instead.
    * ``scipy.stats``
      * ``randwcdf`` and ``randwppf`` functions are deprecated. 
        All users should use distribution-specific ``rvs`` methods 
        instead.
      * Probability calculation aliases ``zprob``, ``fprob`` and 
        ``ksprob`` are deprecated. Use instead the ``sf`` methods 
        of the corresponding distributions or the ``special`` 
        functions directly.
    * ``scipy.interpolate``
      * ``PiecewisePolynomial`` class is deprecated.
  * Backwards incompatible changes
    * scipy.special.lpmn
      * ``lpmn`` no longer accepts complex-valued arguments. A new 
        function ``clpmn`` with uniform complex analytic behavior 
        has been added, and it should be used instead.
    * scipy.sparse.linalg
      * Eigenvectors in the case of generalized eigenvalue problem 
        are normalized to unit vectors in 2-norm, rather than 
        following the LAPACK normalization convention.
      * The deprecated UMFPACK wrapper in ``scipy.sparse.linalg`` 
        has been removed due to license and install issues.  If 
        available, ``scikits.umfpack`` is still used transparently 
        in the ``spsolve`` and ``factorized`` functions.  
        Otherwise, SuperLU is used instead in these functions.
    * scipy.stats
      * The deprecated functions ``glm``, ``oneway`` and 
        ``cmedian`` have been removed from ``scipy.stats``.
      * ``stats.scoreatpercentile`` now returns an array instead of
        a list of percentiles.
    * scipy.interpolate
      * The API for computing derivatives of a monotone piecewise 
        interpolation has changed: if `p` is a 
        ``PchipInterpolator`` object, `p.derivative(der)`  
        returns a callable object representing the derivative of 
        `p`. For in-place derivatives use the second argument of 
        the `__call__` method: `p(0.1, der=2)` evaluates the 
        second derivative of `p` at `x=0.1`.
      * The method `p.derivatives` has been removed.
      
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Sun Mar  2 04:22:42 UTC 2014 - arun@gmx.de

- updated to version 0.13.3
  Issues fixed:
  * 3148: fix a memory leak in ``ndimage.label``.
  * 3216: fix weave issue with too long file names for MSVC.
  Other changes:
  * Update Sphinx theme used for html docs so ``>>>`` in examples can be toggled.

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Wed Dec 11 14:15:25 UTC 2013 - toddrme2178@gmail.com

- Update to version 0.13.2
  + require Cython 0.19, earlier versions have memory leaks in 
    fused types
  + ndimage.label fix swapped 64-bitness test
  + optimize.fmin_slsqp constraint violation
- Require python-Cython >= 0.19

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Tue Nov 19 21:23:02 UTC 2013 - p.drouand@gmail.com

- Update to version 0.13.1
  + ``ndimage.label`` returns incorrect results in scipy 0.13.0
  + ``ndimage.label`` return type changed from int32 to uint32
  + `ndimage.find_objects`` doesn't work with int32 input in some cases
  
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Fri Oct 25 15:17:10 UTC 2013 - toddrme2178@gmail.com

- Update to 0.13.0
  * Highlights
      * support for fancy indexing and boolean comparisons with 
        sparse matrices
      * interpolative decompositions and matrix functions in the 
        linalg module
      * two new trust-region solvers for unconstrained minimization
  * scipy.integrate improvements
      * N-dimensional numerical integration
      * dopri* improvements
  * scipy.linalg improvements
      * Interpolative decompositions
      * Polar decomposition
      * BLAS level 3 functions
      * Matrix functions
  * scipy.optimize improvements
      * Trust-region unconstrained minimization algorithms
  * scipy.sparse improvements
      * Boolean comparisons and sparse matrices
      * CSR and CSC fancy indexing
  * scipy.io improvements
      * Unformatted Fortran file reader
      * scipy.io.wavfile enhancements
  * scipy.interpolate improvements
      * B-spline derivatives and antiderivatives
  * Deprecated features
    * expm2 and expm3
    * scipy.stats functions
  * Backwards incompatible changes
    * LIL matrix assignment
    * Deprecated radon function removed
    * Removed deprecated keywords xa and xb from 
      stats.distributions
    * Changes to MATLAB file readers / writers
- Add a new flag to easily enable/disable atlas support for if it
  ever gets fixed in the future
- Added numpy version number to requires and buildrequires
- Updated rpmlint fixes

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Sun Apr 14 04:43:43 UTC 2013 - termim@gmail.com

- Update to version 0.12.0
  Some of the highlights of this release are:
  * Completed QHull wrappers in scipy.spatial.
  * cKDTree now a drop-in replacement for KDTree.
  * A new global optimizer, basinhopping.
  * Support for Python 2 and Python 3 from the same code base (no more 2to3).
 
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Mon Oct  1 12:45:12 UTC 2012 - toddrme2178@gmail.com

- Update to version 0.11.0:
  * Sparse Graph Submodule
  * scipy.optimize improvements
    * A unified interface to minimizers of univariate and 
      multivariate functions has been added. 
    * A unified interface to root finding algorithms for 
      multivariate functions has been added.
    * The L-BFGS-B algorithm has been updated to version 3.0.
  * scipy.linalg improvements
    * New matrix equation solvers
    * QZ and QR Decomposition
    * Pascal matrices
    * Sparse matrix construction and operations
    * LSMR iterative solver 
    * Discrete Sine Transform
  * scipy.interpolate improvements
    * Interpolation in spherical coordinates
  * scipy.stats improvements
    * Binned statistics
- Remove upstreamed patches

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Mon Aug 27 09:12:38 UTC 2012 - toddrme2178@gmail.com

- Disable broken libatlas3

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Mon Jun  4 15:32:19 UTC 2012 - toddrme2178@gmail.com

- Add suitesparse buildrequires
- Remove blas/lapack tests since these build successfully on all
  targets now
  
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Tue May 29 19:51:34 UTC 2012 - cfarrell@suse.com

- license update: BSD-3-Clause
  No LGPL licenses found in the package

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Tue May 29 11:28:00 UTC 2012 - toddrme2178@gmail.com

- Don't build against libatlas on factory since libatlas doesn't 
  work there

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Fri May 18 08:54:19 UTC 2012 - toddrme2178@gmail.com

- Fix rmplint warnings
- Clean up spec file formatting

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Mon Apr 30 15:17:34 UTC 2012 - toddrme2178@gmail.com

- Removed tests for unsupported openSUSE versions

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Tue Apr 24 12:06:38 UTC 2012 - toddrme2178@gmail.com

- Add python 3 package

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Sat Apr 14 03:11:58 UTC 2012 - badshah400@gmail.com

- Modify BuildRequires to match recent name changes of lapack and
  blas in project.

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Tue Mar 27 09:35:10 UTC 2012 - saschpe@suse.de

- Update to version 0.10.1:
  * AFAICS, upstream provides no changelog
- Spec file cleanup:
  * New sub-package weave provides the devel package (only headers in
    a 'devel' package won't work)
  * Don't ship testsuite and package weave examples as documentation
  * Set license to SDPX style

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Sun Oct  2 22:16:43 CEST 2011 - behrisch@users.sf.net

- update to 0.10.0b2
- added patch for fortran functions returning random data
- prepared addition of ufsparse

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Mon Sep 13 08:13:03 UTC 2010 - coolo@novell.com

- update to 0.8.0:
   * Python 3 compat
   * Major documentation improvements
   * Deprecated features
      o Swapping inputs for correlation functions (scipy.signal)
      o Obsolete code deprecated (scipy.misc)
   * New features
      o DCT support (scipy.fftpack)
      o Single precision support for fft functions (scipy.fftpack)
      o Correlation functions now implement the usual definition (scipy.signal)
      o Additions and modification to LTI functions (scipy.signal)
    ... many more, see 0.8.0-notes.rst

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Tue Jul 14 17:44:43 CEST 2009 - lars@linux-schulserver.de

- update to 0.7.1:
  + Several fixes in Matlab file IO
  + Work around a failure with Python 2.6
  + Memory leak in lfilter have been fixed
  + Several bugs of varying severity were fixed in the special 
    functions
- adapted patches to latest version
- also package release notes

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Sun Jun 21 12:12:10 CEST 2009 - lars@linux-schulserver.de

- update to 0.7.0.3 (0.7.1rc3):
  + bugfix release
- adapted patches:
  + scipy-0.7.1rc3-implicit-fortify-decl.patch (xerbla.c)
  + scipy-0.7.1rc3-undefined_operation.patch (zutil.c; cutil.c) 
- new patches:
  + scipy-0.7.1rc3-umfpack-include.patch (fix to find umfpack)
  + scipy-0.7.1rc3-atlas-include.patch (fix to find atlas)
  + scipy-0.7.1rc3-superlu.patch (correct use of fprintf)
- enable umfpack, atlas and amd support
- drop devel subpackage 
- enable mandriva build

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Mon Mar  9 15:55:36 CET 2009 - lars@linux-schulserver.de

- update to 0.7.0:
  SciPy 0.7.0 is the culmination of 16 months of hard work. It 
  contains many new features, numerous bug-fixes, improved test 
  coverage and better documentation.
  + Python 2.6 support (NOT Python 3.0)
  + Major documentation improvements
  + Support for NumScons has been added
  + Sandbox Removed
  + Sparse matrices have seen extensive improvements
  + Statistical functions for masked arrays have been added
  + The IO code in both NumPy and SciPy is being extensively
    reworked
  + New Hierarchical Clustering module
  + New Spatial package
  + Reworked fftpack package
  + New Constants package
  + New Radial Basis Function module
  + New complex ODE integrator
  + New generalized symmetric and hermitian eigenvalue problem solver
  + Bug fixes in the interpolation package
  + Weave clean up
- adapted patches to new source

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Fri Dec 19 23:48:19 CET 2008 - lars@linux-schulserver.de

- fix compile errors on 11.1 and Factory (should go upstream):
  + scipy-0.6.0-implicit-fortify-decl.patch
  + scipy-0.6.0-undefined_operation.patch
  + scipy-0.6.0-no-return-in-nonvoid-function.patch

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Thu Oct 30 21:29:56 CET 2008 - lars@linux-schulserver.de

- temporary fix _Py_c_abs compile error on new python

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Thu Sep 25 16:21:33 CEST 2008 - lars@linux-schulserver.de

- moved to Education base repository

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Thu Jul 01 14:10:10 CEST 2008 - andrea@opensuse-org

- fixed spec file
- libblas-devel is now libblas3 and blas to avoid version conflicts
- devel package splitted out to make rpmlint happy

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Sun May 11 18:11:16 CEST 2008 - lars@linux-schulserver.de

- build for openSUSE-Education
- Require python-numpy-devel for build
- blas-devel is now libblas-devel
- beautify specfile

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Tue Nov 06 00:00:00 CEST 2007 Felix Richter <felix.richter2@uni-rostock.de>

- version bump to 0.6.0

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Fri Oct 19 00:00:00 CEST 2007 Werner Hoch <werner.ho@gmx.de>

- removed blas/lapack-devel packages for newer distributions

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Sat Sep 08 00:00:00 CEST 2007 Werner Hoch <werner.ho@gmx.de>

- new version 0.5.2.1

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Fri Jan 19 00:00:00 CEST 2007 Werner Hoch <werner.ho@gmx.de>

- version upgraded to 0.5.2

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Thu Dec 05 00:00:00 CEST 2006 Werner Hoch <werner.ho@gmx.de>

- added blas-devel and lapack-devel to BuildRequires

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Thu Sep 28 00:00:00 CEST 2006 Werner Hoch <werner.ho@gmx.de>

- Initial build.

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