File python3-scipy.changes of Package python3-scipy
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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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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 04:19:40 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 python3-Cython >= 0.19
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Tue Dec 3 04:38:57 UTC 2013 - arun@gmx.de
- update to 0.13.1 (bugfix release)
- `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
- Disabled weave package, it is not available in python 3 yet
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Sun Apr 14 04:46:01 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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Thu Nov 22 14:18:55 UTC 2012 - toddrme2178@gmail.com
- Removed openSUSE 11.4 spec file workarounds
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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 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
