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- Add %{?sle15_python_module_pythons}

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baserev update by copy to link target

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- Unskip python311: numby 0.57 is released
- Skip test_tensordot: gh#pydata/sparse#594

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baserev update by copy to link target

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- Update to 0.14.0
  * sparse.einsum support (PR #564 thanks @jcmgray)
  * Some bug-fixes (PR #524, PR #527, PR #555 thanks @hameerabbasi,
    PR #569, thanks @jamestwebber, PR #534, thanks
    @sarveshbhatnagar)
  * Some performance improvements (PR #570, thanks @jamestwebber,
    PR #540, thanks @smldub).
- Skip python311 build: no numba yet
- Drop skip-32bit-archs.patch, disable 32bit test suite: too many
  tests involve 64bit types

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- Also remove conditional python_module definition.

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- Add skip-32bit-archs.patch skiping a failing test on 32bit arch
  (gh#pydata/sparse#490).

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- Skip failing test on 32bit arch (gh#pydata/sparse#490).

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- remove stray ancient pathlib requirement
- Dask supports Python 3.10 now: reenable tests

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- Don't test optional dask for python310: not supported yet

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- Update to 0.13.0
  * GCXS improvements and changes.
  * Maintainence fixes
  * sparse.DOK.from_scipy_sparse method
  * Black re-formatting
  * Add sparse.pad
  * Switch to GitHub Actions
  * Fix a number of bugs in format conversion.
  * Fix bug in sparse.matmul for higher-dimensional arrays.
  * Fix scalar conversion to COO
  * Fix OOB memory accesses
  * Fixes element-wise ops with scalar COO array.
  * Fix scalar broadcast_to with nnz==0.
  * Add order parameter to {zero, ones, full}[_like].
  * Fix tensordot typing bugs.
- Release 0.12.0
  * There are a number of large changes in this release. For
    example, we have implemented the GCXS type, and its
    specializations CSR and CSC. We plan on gradually improving the
    performance of these.
  * A number of GCXS fixes and additions
  * Ability to change the index dtype for better storage
    characteristics.
  * Some work on DOK arrays to bring them closer to the other
    formats
  * CSR and CSC specializations of GCXS
  * Fix a number of bugs
  * Add nnz parameter to sparse.random
- Drop sparse-pr421-fix-cootype.patch merged upstream

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baserev update by copy to link target

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- skip python 3.6 build

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baserev update by copy to link target

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- Update to 0.11.2
  * Fix TypingError on sparse.dot with complex dtypes. (Issue #403, 
    PR #404) 
- Changelog for 0.11.1
  * Fix ValueError on sparse.dot with extremely small values.
    (Issue #398, PR #399)
- Changelog for 0.11.0
  * Improve the performance of sparse.dot. (Issue #331, PR #389, 
    thanks @daletovar)
  * Added the COO.swapaxes method. (PR #344, thanks @lueckem)
  * Added multi-axis 1-D indexing support. (PR #343, thanks 
    @mikeymezher)
  * Fix outer for arrays that weren’t one-dimensional. (Issue #346, 
    PR #347)
  * Add casting kwarg to COO.astype. (Issue #391, PR #392)
  * Fix for COO constructor accepting invalid inputs. (Issue #385, 
    PR #386)
  - Changelog for 0.10.0
  * Fixed a bug where converting an empty DOK array to COO leads to 
    an incorrect dtype. (Issue #314, PR #315)
  * Change code formatter to black. (PR #284)
  * Add COO.flatten and sparse.outer. (Issue #316, PR #317).
  * Remove broadcasting restriction between sparse arrays and dense 
    arrays. (Issue #306, PR #318)
  * Implement deterministic dask tokenization. (Issue #300, PR 
    #320, thanks @danielballan)
  * Improve testing around densification (PR #321, thanks 
    @danielballan)
  * Simplify Numba extension. (PR #324, thanks @eric-wieser).
  * Respect copy=False in astype (PR #328, thanks @eric-wieser).

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baserev update by copy to link target

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Update to 0.8.0

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