From f7f856de8bc1cf861645f8c8c8a72a7392ef543e Mon Sep 17 00:00:00 2001 From: ROUVREAU Vincent Date: Thu, 2 Jul 2020 11:24:47 +0200 Subject: Update next_release --- .github/next_release.md | 35 ++++++++++++++++++++++++++--------- CMakeGUDHIVersion.txt | 4 +++- 2 files changed, 29 insertions(+), 10 deletions(-) diff --git a/.github/next_release.md b/.github/next_release.md index a2805a55..188dd87f 100644 --- a/.github/next_release.md +++ b/.github/next_release.md @@ -1,19 +1,36 @@ -We are pleased to announce the release 3.X.X of the GUDHI library. +We are pleased to announce the release 3.3.0 of the GUDHI library. -As a major new feature, the GUDHI library now offers ... +As a major new feature, the GUDHI library now offers -We are now using GitHub to develop the GUDHI library, 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). +We are now using GitHub to develop the GUDHI library, 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.3.3.0.tar.gz). -Below is a list of changes made since GUDHI 3.X-1.X-1: +Below is a list of changes made since GUDHI 3.2.0: -- [Module](link) - - ... +- [DTM density estimator](https://gudhi.inria.fr/python/latest/point_cloud.html#module-gudhi.point_cloud.dtm) + - Python implementation of a density estimator based on the distance to the empirical measure defined by a point set. -- [Module](link) - - ... +- [DTM Rips complex](https://gudhi.inria.fr/python/latest/rips_complex_user.html#dtm-rips-complex) + - This Python implementation constructs a weighted Rips complex giving larger weights to outliers, + which reduces their impact on the persistence diagram + +- [Alpha complex](https://gudhi.inria.fr/python/latest/alpha_complex_user.html) - Python interface improvements + - 'fast' and 'exact' computations + - Delaunay complex construction by not setting filtration values + - Use the specific 3d alpha complex automatically to make the computations faster + +- [Clustering](https://gudhi.inria.fr/python/latest/clustering.html) + - Python implementation of [ToMATo](https://doi.org/10.1145/2535927), a persistence-based clustering algorithm + +- [Bottleneck distance](https://gudhi.inria.fr/python/latest/bottleneck_distance_user.html) + - Python interface to [hera](https://github.com/grey-narn/hera)'s bottleneck distance + +- Representations - Python interface change + - [Wasserstein metrics](https://gudhi.inria.fr/python/latest/representations.html#gudhi.representations.metrics.WassersteinDistance) + is now [hera](https://github.com/grey-narn/hera) by default - Miscellaneous - - The [list of bugs that were solved since GUDHI-3.X-1.X-1](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.1.1+is%3Aclosed) is available on GitHub. + - The [list of bugs that were solved since GUDHI-3.2.0](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.3.0+is%3Aclosed) + is available on GitHub. All modules are distributed under the terms of the MIT license. However, there are still GPL dependencies for many modules. We invite you to check our [license dedicated web page](https://gudhi.inria.fr/licensing/) for further details. diff --git a/CMakeGUDHIVersion.txt b/CMakeGUDHIVersion.txt index b9895bb1..a78b8adc 100644 --- a/CMakeGUDHIVersion.txt +++ b/CMakeGUDHIVersion.txt @@ -1,6 +1,8 @@ +# Must be conform to pep440 - https://www.python.org/dev/peps/pep-0440/#pre-releases set (GUDHI_MAJOR_VERSION 3) set (GUDHI_MINOR_VERSION 3) -set (GUDHI_PATCH_VERSION 0.rc1) +# 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_VERSION ${GUDHI_MAJOR_VERSION}.${GUDHI_MINOR_VERSION}.${GUDHI_PATCH_VERSION}) message(STATUS "GUDHI version : ${GUDHI_VERSION}") -- cgit v1.2.3