File python-scipy.changes of Package python-scipy

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File python-scipy.changes of Package python-scipy

-------------------------------------------------------------------
Mon Jul 27 15:24:02 UTC 2015 - toddrme2178@gmail.com

- Remove Cython subpackage.  The sources are not as cleanly 
  separated as the changelog implied.

-------------------------------------------------------------------
Mon Jul 27 09:26:20 UTC 2015 - toddrme2178@gmail.com

- Update to 0.16.0
  * Highlights of this release include:
    - A Cython API for BLAS/LAPACK in scipy.linalg
    - A new benchmark suite.  It's now straightforward to add new benchmarks,
       and they're routinely included with performance enhancement PRs.
    - Support for the second order sections (SOS) format in scipy.signal.
  * New features
    - Benchmark suite
      + The benchmark suite has switched to using Airspeed Velocity
        for benchmarking.
    - scipy.linalg improvements
      + A full set of Cython wrappers for BLAS and LAPACK has been added in 
        the modules scipy.linalg.cython_blas and scipy.linalg.cython_lapack.
        In Cython, these wrappers can now be cimported from their 
        corresponding modules and used without linking directly against BLAS 
        or LAPACK.
      + The functions scipy.linalg.qr_delete, scipy.linalg.qr_insert and
        scipy.linalg.qr_update for updating QR decompositions were added.
      + The function scipy.linalg.solve_circulant solves a linear system with
       a circulant coefficient matrix.
      + The function scipy.linalg.invpascal computes the inverse of a Pascal matrix.
      + The function scipy.linalg.solve_toeplitz, a Levinson-Durbin Toeplitz solver,
        was added.
      + Added wrapper for potentially useful LAPACK function *lasd4.  It computes
        the square root of the i-th updated eigenvalue of a positive symmetric rank-one
        modification to a positive diagonal matrix. See its LAPACK documentation and
        unit tests for it to get more info.
      + Added two extra wrappers for LAPACK least-square solvers. Namely, they are 
        *gelsd and *gelsy.
       + Wrappers for the LAPACK *lange functions, which calculate various matrix
         norms, were added.
       + Wrappers for *gtsv and *ptsv, which solve A*X = B for tri-diagonal
         matrix A, were added.
    - scipy.signal improvements
       + Support for second order sections (SOS) as a format for IIR filters
         was added.  The new functions are:
         * scipy.signal.sosfilt
         * scipy.signal.sosfilt_zi,
         * scipy.signal.sos2tf
         * scipy.signal.sos2zpk
         * scipy.signal.tf2sos
         * scipy.signal.zpk2sos.
       + Additionally, the filter design functions iirdesign, iirfilter, butter,
         cheby1, cheby2, ellip, and bessel can return the filter in the SOS
         format.
       + The function scipy.signal.place_poles, which provides two methods to place
         poles for linear systems, was added.
       + The option to use Gustafsson's method for choosing the initial conditions
         of the forward and backward passes was added to scipy.signal.filtfilt.
       + New classes TransferFunction, StateSpace and ZerosPolesGain were
         added.  These classes are now returned when instantiating scipy.signal.lti.
         Conversion between those classes can be done explicitly now.
       + An exponential (Poisson) window was added as scipy.signal.exponential, and a
         Tukey window was added as scipy.signal.tukey.
       + The function for computing digital filter group delay was added as
         scipy.signal.group_delay.
       + The functionality for spectral analysis and spectral density estimation has
         been significantly improved: scipy.signal.welch became ~8x faster and the
         functions scipy.signal.spectrogram, scipy.signal.coherence and
         scipy.signal.csd (cross-spectral density) were added.
       + scipy.signal.lsim was rewritten - all known issues are fixed, so this
         function can now be used instead of lsim2; lsim is orders of magnitude
         faster than lsim2 in most cases.
    - scipy.sparse improvements
       + The function scipy.sparse.norm, which computes sparse matrix norms, was
         added.
       + The function scipy.sparse.random, which allows to draw random variates from
         an arbitrary distribution, was added.
    - scipy.spatial improvements
       + scipy.spatial.cKDTree has seen a major rewrite, which improved the
         performance of the query method significantly, added support for parallel
         queries, pickling, and options that affect the tree layout.  See pull request
         4374 for more details.
       + The function scipy.spatial.procrustes for Procrustes analysis (statistical
         shape analysis) was added.
    - scipy.stats improvements
       + The Wishart distribution and its inverse have been added, as
         scipy.stats.wishart and scipy.stats.invwishart.
       + The Exponentially Modified Normal distribution has been
         added as scipy.stats.exponnorm.
       + The Generalized Normal distribution has been added as scipy.stats.gennorm.
       + All distributions now contain a random_state property and allow specifying a
         specific numpy.random.RandomState random number generator when generating
         random variates.
       + Many statistical tests and other scipy.stats functions that have multiple
         return values now return namedtuples.  See pull request 4709 for details.
    - scipy.optimize improvements
       + A new derivative-free method DF-SANE has been added to the nonlinear equation
         system solving function scipy.optimize.root.
  * Deprecated features
    - scipy.stats.pdf_fromgamma is deprecated.  This function was undocumented,
      untested and rarely used.  Statsmodels provides equivalent functionality
      with statsmodels.distributions.ExpandedNormal.
    - scipy.stats.fastsort is deprecated.  This function is unnecessary,
      numpy.argsort can be used instead.
    - scipy.stats.signaltonoise and scipy.stats.mstats.signaltonoise are
      deprecated.  These functions did not belong in scipy.stats and are rarely
      used.  See issue #609 for details.
    - scipy.stats.histogram2 is deprecated. This function is unnecessary, 
      numpy.histogram2d can be used instead.
  * Backwards incompatible changes
    - The deprecated global optimizer scipy.optimize.anneal was removed.
    - The following deprecated modules have been removed. They had been deprecated
      since Scipy 0.12.0, the functionality should be accessed as scipy.linalg.blas
      and scipy.linalg.lapack.
      + scipy.lib.blas
      + scipy.lib.lapack
      + scipy.linalg.cblas
      + scipy.linalg.fblas
      + scipy.linalg.clapack
      + scipy.linalg.flapack.
    - The deprecated function scipy.special.all_mat has been removed.
    - These deprecated functions have been removed from scipy.stats:
      + scipy.stats.fprob
      + scipy.stats.ksprob
      + scipy.stats.zprob
      + scipy.stats.randwcdf
      + scipy.stats.randwppf
  * Other changes
    - The version numbering for development builds has been updated to comply with PEP 440.
    - Building with python setup.py develop is now supported.
- Move Cython imports to another package

-------------------------------------------------------------------
Mon Mar  2 15:57:12 UTC 2015 - toddrme2178@gmail.com

- update to version 0.15.1:
  * #4413: BUG: Tests too strict, f2py doesn't have to overwrite this array
  * #4417: BLD: avoid using NPY_API_VERSION to check not using deprecated...
  * #4418: Restore and deprecate scipy.linalg.calc_work

-------------------------------------------------------------------
Mon Jan 12 13:36:00 UTC 2015 - toddrme2178@gmail.com

- Update to 0.15.0
  * New features
    * scipy.optimize improvements
      * scipy.optimize.linprog now provides a generic
        linear programming similar to the way scipy.optimize.minimize
        provides a generic interface to nonlinear programming optimizers.
        Currently the only method supported is simplex which provides
        a two-phase, dense-matrix-based simplex algorithm. Callbacks
        functions are supported,allowing the user to monitor the progress
        of the algorithm.
      * The differential_evolution function is available from the scipy.optimize
        module.  Differential Evolution is an algorithm used for finding the global
        minimum of multivariate functions. It is stochastic in nature (does not use
        gradient methods), and can search large areas of candidate space, but often
        requires larger numbers of function evaluations than conventional gradient
        based techniques.
    * scipy.signal improvements
      * The function max_len_seq was added, which computes a Maximum
        Length Sequence (MLS) signal.
    * scipy.integrate improvements
      * The interface between the scipy.integrate module and the QUADPACK library was 
        redesigned. It is now possible to use scipy.integrate to integrate 
        multivariate ctypes functions, thus avoiding callbacks to Python and providing 
        better performance, especially for complex integrand functions.
    * scipy.sparse improvements
      * scipy.sparse.linalg.svds now takes a LinearOperator as its main input.
    * scipy.stats improvements
      * Added a Dirichlet distribution as multivariate distribution.
      * The new function `scipy.stats.median_test` computes Mood's median test.
      * `scipy.stats.describe` returns a namedtuple rather than a tuple, allowing
        users to access results by index or by name.
  * Deprecated features
    * The scipy.weave module is deprecated.  It was the only module never ported
      to Python 3.x, and is not recommended to be used for new code - use Cython
      instead.  In order to support existing code, scipy.weave has been packaged
      separately: https://github.com/scipy/weave.  It is a pure Python package, so
      can easily be installed with pip install weave.
    * scipy.special.bessel_diff_formula is deprecated.  It is a private function,
      and therefore will be removed from the public API in a following release.
  * Backwards incompatible changes
    * scipy.ndimage
      * The functions scipy.ndimage.minimum_positions,
      scipy.ndimage.maximum_positions and scipy.ndimage.extrema return
      positions as ints instead of floats.
  * Other changes
    * scipy.integrate
      * The OPTPACK and QUADPACK code has been changed to use the LAPACK matrix
        solvers rather than the bundled LINPACK code. This means that there is no
        longer any need for the bundled LINPACK routines, so they have been removed.
- Update copyright year

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

- Switch to pypi download location
- Minor spec file cleanups

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

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

-------------------------------------------------------------------
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.
      
-------------------------------------------------------------------
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.

-------------------------------------------------------------------
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

-------------------------------------------------------------------
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
  
-------------------------------------------------------------------
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

-------------------------------------------------------------------
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).
 
-------------------------------------------------------------------
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

-------------------------------------------------------------------
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
  
-------------------------------------------------------------------
Tue May 29 19:51:34 UTC 2012 - cfarrell@suse.com

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

-------------------------------------------------------------------
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.

-------------------------------------------------------------------
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

-------------------------------------------------------------------
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

-------------------------------------------------------------------
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

-------------------------------------------------------------------
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

-------------------------------------------------------------------
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

-------------------------------------------------------------------
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

-------------------------------------------------------------------
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

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

- temporary fix _Py_c_abs compile error on new python

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

- moved to Education base repository

-------------------------------------------------------------------
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

-------------------------------------------------------------------
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

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

- version bump to 0.6.0

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

- removed blas/lapack-devel packages for newer distributions

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

- new version 0.5.2.1

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

- version upgraded to 0.5.2

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

- added blas-devel and lapack-devel to BuildRequires

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

- Initial build.

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