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- NEP 29: Last minorversion bump deprecated Python 3.6
  https://numpy.org/neps/nep-0029-deprecation_policy.html
- Fix hpc setup for coinstallable python3 flavors, needs
  gh#openSUSE/hpc#3

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- Update to 1.6.0:
  * scipy.ndimage improvements: Fixes and ehancements to boundary extension
    modes for interpolation functions. Support for complex-valued inputs
    in many filtering and interpolation functions. New grid_mode option
    for scipy.ndimage.zoom to enable results consistent with scikit-image’s rescale.
  * scipy.optimize.linprog has fast, new methods for large, sparse
    problems from the HiGHS library.
  * scipy.stats improvements including new distributions, a new test,
    and enhancements to existing distributions and tests
  * scipy.special now has improved support for 64-bit LAPACK backend
  * scipy.odr now has support for 64-bit integer BLAS
  * scipy.odr.ODR has gained an optional overwrite argument so that
    existing files may be overwritten.
  * scipy.cluster.hierarchy.DisjointSet has been added for incremental
    connectivity queries.
  * scipy.cluster.hierarchy.dendrogram return value now also includes
    leaf color information in leaves_color_list.
  * scipy.interpolate.interp1d has a new method nearest-up, similar to
    the existing method nearest but rounds half-integers up instead of down.
  * scipy.ndimage.convolve, scipy.ndimage.correlate and their 1d counterparts
    now accept both complex-valued images and/or complex-valued filter kernels.
    All convolution-based filters also now accept complex-valued inputs 
  * scipy.optimize.linprog has fast, new methods for large, sparse problems
    from the HiGHS C++ library
  * scipy.optimize.quadratic_assignment has been added for approximate solution of
    the quadratic assignment problem.
  * scipy.optimize.linear_sum_assignment now has a substantially reduced
    overhead for small cost matrix sizes
  * scipy.optimize.least_squares has improved performance when the user
    provides the jacobian as a sparse jacobian already in csr_matrix format

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- Update to version 1.5.4.
  * Bug fix release with no new feature.
- Updates for 1.5.3.
  * Bug fix release with no new feature.

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- Update to 1.5.2
  * wrappers for more than a dozen new LAPACK routines are now available in scipy.linalg.lapack
  * Improved support for leveraging 64-bit integer size from linear algebra backends
  * addition of the probability distribution for two-sided one-sample Kolmogorov-Smirnov tests
  * see upstream changelog for more detailed info
- Drop breaking patch no_implicit_decl.patch
  * the problem is with lapacke

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- Add -std=legacy in order to build with GCC10:
  https://gcc.gnu.org/gcc-10/porting_to.html#argument-mismatch

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- 'umpfack' is a runtime dependency of scipy. No build time
  dependency to suitesparse is required (jsc#SLE-11732).
- Get rid of site.cfg entirely as it is used nowhwere in scipy.

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- Fix pybind11 devel dependency to match real name

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Update to 1.4.1

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- Update to 1.4.0
- Rebase no_implicit_decl.patch

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Update to 1.3.3

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