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- update to 1.0.2:
  * build wheels for Python 3.12 (#255)
  * update minimum Python version to 3.9
  * add numpy 2.x support

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- TestTSNECorrectnessUsingPrecomputedDistanceMatrix fails almost everywhere

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baserev update by copy to link target

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- update to 1.0.1:
  * setup.py maintenance
  * drop Python 3.6 support
  * correctly implement dof parameter in exact BH implementation
- drop get-numpy-include.patch (upstream)
  * Given the longtime stability of openTSNE, it is only fitting

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baserev update by copy to link target

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- Update to 1.0.0
  * Given the longtime stability of openTSNE, it is only fitting 
    that we release a v1.0.0.
  * Various documentation fixes
  * Include Python 3.11 in the test and build matrix
  * Uniform affinity kernel now supports mean and max mode
- add get-numpy-include.patch

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- Update to 0.6.2
  * By default, we now use the MultiscaleMixture affinity model,
    enabling us to pass in a list of perplexities instead of a
    single perplexity value. This is fully backwards compatible.
  * Previously, perplexity values would be changed according to the
    dataset. E.g. we pass in perplexity=100 with N=150. Then
    TSNE.perplexity would be equal to 50. Instead, keep this value
    as is and add an effective_perplexity_ attribute (following the
    convention from scikit-learn, which puts in the corrected
    perplexity values.
  * Fix bug where interpolation grid was being prepared even when
    using BH optimization during transform.
  * Enable calling .transform with precomputed distances. In this
    case, the data matrix will be assumed to be a distance matrix.
  * Fix potential problem with clang-13, which actually does
    optimization with infinities using the -ffast-math flag
- Enable python310 build
- Skip a test in 32bit failing due to rounding errors

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- Update to 0.6.1
  * Remove affinites from TSNE construction, allow custom
    affinities and initialization in .fit method. This improves the
    API when dealing with non-tabular data. This is not backwards
    compatible.
  * Add metric="precomputed". This includes the addition of
    openTSNE.nearest_neighbors.PrecomputedDistanceMatrix and
    openTSNE.nearest_neighbors.PrecomputedNeighbors.
  * Add knn_index parameter to openTSNE.affinity classes.
  * Add (less-than-ideal) workaround for pickling Annoy objects.
  * Extend the range of recommended FFTW boxes up to 1000.
  * Remove deprecated openTSNE.nearest_neighbors.BallTree.
  * Remove deprecated openTSNE.callbacks.ErrorLogger.
  * Remove deprecated TSNE.neighbors_method property.
  * Add and set as default negative_gradient_method="auto".
- Skip building on python310: gh#pavlin-policar/openTSNE#205

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baserev update by copy to link target

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Add python-openTSNE-disable-CPU-autodetection.patch (boo#1100677)

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initialized devel package after accepting 867964

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The new name for python-fastTSNE

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