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author | Vincent Rouvreau <10407034+VincentRouvreau@users.noreply.github.com> | 2022-08-16 08:18:05 +0200 |
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committer | GitHub <noreply@github.com> | 2022-08-16 08:18:05 +0200 |
commit | 7232cbf06f14e517e82513a505e9392a7ad9f4db (patch) | |
tree | 26c7e719fd95f51c4c0ea90cda55633946238f1f | |
parent | 1341c67641f9593281e9419d2ce864743b9213aa (diff) | |
parent | 137a18d15d37fd732a4f3afba375d17217335924 (diff) |
Merge pull request #677 from VincentRouvreau/release_3_6_0rc2
Release 3.6.0rc2
-rw-r--r-- | .github/next_release.md | 26 | ||||
-rw-r--r-- | .github/workflows/pip-packaging-windows.yml | 2 | ||||
-rw-r--r-- | CMakeGUDHIVersion.txt | 2 |
3 files changed, 15 insertions, 15 deletions
diff --git a/.github/next_release.md b/.github/next_release.md index 8e1e12da..26806de2 100644 --- a/.github/next_release.md +++ b/.github/next_release.md @@ -7,37 +7,37 @@ and weighted version for alpha complex in any dimension D. Do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.X.X.tar.gz). For further information, please visit the [GUDHI web site](https://gudhi.inria.fr/). -# GUDHI 3.6.0rc1 Release Notes +# GUDHI 3.6.0rc2 Release Notes Below is a list of changes made since GUDHI 3.5.0: - TensorFlow 2 models that can handle automatic differentiation for the computation of persistence diagrams: - - [Cubical complex](https://gudhi.inria.fr/python/latest/cubical_complex_tflow_itf_ref.html) - - [lower-star persistence on simplex trees](https://gudhi.inria.fr/python/latest/ls_simplex_tree_tflow_itf_ref.html) - - [Rips complex](https://gudhi.inria.fr/python/latest/rips_complex_tflow_itf_ref.html) + - [Cubical complex](https://gudhi.inria.fr/python/3.6.0rc2/cubical_complex_tflow_itf_ref.html) + - [lower-star persistence on simplex trees](https://gudhi.inria.fr/python/3.6.0rc2/ls_simplex_tree_tflow_itf_ref.html) + - [Rips complex](https://gudhi.inria.fr/python/3.6.0rc2/rips_complex_tflow_itf_ref.html) -- [Cubical complex](https://gudhi.inria.fr/python/latest/cubical_complex_sklearn_itf_ref.html) +- [Cubical complex](https://gudhi.inria.fr/python/3.6.0rc2/cubical_complex_sklearn_itf_ref.html) - Cubical complex persistence scikit-learn like interface -- [Datasets](https://gudhi.inria.fr/python/latest/datasets.html) +- [Datasets](https://gudhi.inria.fr/python/3.6.0rc2/datasets.html) - `datasets.remote.fetch_bunny` and `datasets.remote.fetch_spiral_2d` allows to fetch datasets from [GUDHI-data](https://github.com/GUDHI/gudhi-data) -- [Alpha complex](https://gudhi.inria.fr/python/latest/alpha_complex_user.html) +- [Alpha complex](https://gudhi.inria.fr/python/3.6.0rc2/alpha_complex_user.html) - python weighted version for alpha complex is now available in any dimension D. - - `alpha_complex = gudhi.AlphaComplex(off_file='/data/points/tore3D_300.off')` is deprecated, please use [read_points_from_off_file](https://gudhi.inria.fr/python/latest/point_cloud.html#gudhi.read_points_from_off_file) instead. + - `alpha_complex = gudhi.AlphaComplex(off_file='/data/points/tore3D_300.off')` is deprecated, please use [read_points_from_off_file](https://gudhi.inria.fr/python/3.6.0rc2/point_cloud.html#gudhi.read_points_from_off_file) instead. -- [Edge collapse](https://gudhi.inria.fr/doc/latest/group__edge__collapse.html) +- [Edge collapse](https://gudhi.inria.fr/doc/3.6.0rc2/group__edge__collapse.html) - rewriting of the module to improve performance -- [Čech complex](https://gudhi.inria.fr/doc/latest/group__edge__collapse.html) +- [Čech complex](https://gudhi.inria.fr/doc/3.6.0rc2/group__cech__complex.html) - rewriting of the module to improve performance -- [Representations](https://gudhi.inria.fr/python/latest/representations.html#gudhi.representations.vector_methods.BettiCurve) +- [Representations](https://gudhi.inria.fr/python/3.6.0rc2/representations.html#gudhi.representations.vector_methods.BettiCurve) - A more flexible Betti curve class capable of computing exact curves -- [C++ documentation](https://gudhi.inria.fr/doc/latest/) +- [C++ documentation](https://gudhi.inria.fr/doc/3.6.0rc2/) - upgrade and improve performance with new doxygen features -- [Simplex tree](https://gudhi.inria.fr/python/latest/simplex_tree_ref.html) +- [Simplex tree](https://gudhi.inria.fr/python/3.6.0rc2/simplex_tree_ref.html) - `__deepcopy__`, `copy` and copy constructors for python module - `expansion_with_blockers` python interface diff --git a/.github/workflows/pip-packaging-windows.yml b/.github/workflows/pip-packaging-windows.yml index 142a114c..48a98036 100644 --- a/.github/workflows/pip-packaging-windows.yml +++ b/.github/workflows/pip-packaging-windows.yml @@ -10,7 +10,7 @@ jobs: strategy: max-parallel: 4 matrix: - python-version: ['3.6', '3.7', '3.8', '3.9', '3.10'] + python-version: ['3.7', '3.8', '3.9', '3.10'] name: Build wheels for Python ${{ matrix.python-version }} steps: - uses: actions/checkout@v1 diff --git a/CMakeGUDHIVersion.txt b/CMakeGUDHIVersion.txt index ca2d24c1..84b10667 100644 --- a/CMakeGUDHIVersion.txt +++ b/CMakeGUDHIVersion.txt @@ -2,7 +2,7 @@ set (GUDHI_MAJOR_VERSION 3) set (GUDHI_MINOR_VERSION 6) # GUDHI_PATCH_VERSION can be 'ZaN' for Alpha release, 'ZbN' for Beta release, 'ZrcN' for release candidate or 'Z' for a final release. -set (GUDHI_PATCH_VERSION 0rc1) +set (GUDHI_PATCH_VERSION 0rc2) set(GUDHI_VERSION ${GUDHI_MAJOR_VERSION}.${GUDHI_MINOR_VERSION}.${GUDHI_PATCH_VERSION}) message(STATUS "GUDHI version : ${GUDHI_VERSION}") |