Next release + version creation improvement

2 files changed, 49 insertions, 39 deletions

diff --git a/.github/for_maintainers/new_gudhi_version_creation.md b/.github/for_maintainers/new_gudhi_version_creation.md
index 0dcb25fe..4de81b8a 100644
--- a/.github/for_maintainers/new_gudhi_version_creation.md
+++ b/.github/for_maintainers/new_gudhi_version_creation.md
@@ -88,8 +88,47 @@ ln -s @GUDHI_VERSION@ latest
 * Tick the *This is a pre-release* check button if this is a release candidate (untick if this is an official version)
 * Click the *Publish the release* button
 
+## Pip package
+
+The pip package construction shall be started on release creation, you just have to check [gudhi github actions](https://github.com/GUDHI/gudhi-devel/actions) results.
+The version number must be conform to [pep440](https://www.python.org/dev/peps/pep-0440/#pre-releases)
+
+## Conda package
+
+You have to fork [conda-forge/gudhi-feedstock](https://github.com/conda-forge/gudhi-feedstock).
+The main changes consist into changing in the `recipe/meta.yaml`:
+* `{% set version = "@GUDHI_VERSION@" %}`
+* The cgal-cpp version number with the last one (you can find it [here](https://anaconda.org/conda-forge/cgal-cpp)) in the `host:` and the `run:` sections
+
+Create a Pull Request (PR) from this fork.
+If you need to update conda tools (conda-build, conda-smithy, ...), add a comment in your PR saying `@conda-forge-admin, please rerender`, it will done automatically (do not forget to `git pull` the changes).
+
+## Docker image
+
+You have to modify the `Dockerfile_gudhi_installation` at the root of this repository in order to use the last release, cf. lines:
+```
+...
+RUN curl -LO "https://github.com/GUDHI/gudhi-devel/releases/download/tags%2Fgudhi-release-@GUDHI_VERSION@/gudhi.@GUDHI_VERSION@.tar.gz" \
+&& tar xf gudhi.@GUDHI_VERSION@.tar.gz \
+&& cd gudhi.@GUDHI_VERSION@ \
+...
+```
+
+Build and push images to docker hub:
+```
+docker build -f Dockerfile_gudhi_installation -t gudhi/latest_gudhi_version:@GUDHI_VERSION@ .
+docker run --rm -it gudhi/latest_gudhi_version:@GUDHI_VERSION@ 
+```
+
+***[Check there are no error with utils and python version]***
+
+```
+docker tag gudhi/latest_gudhi_version:@GUDHI_VERSION@ gudhi/latest_gudhi_version:latest
+docker push gudhi/latest_gudhi_version:latest
+docker push gudhi/latest_gudhi_version:@GUDHI_VERSION@
+```
+
 ## Mail sending
 Send version mail to the following lists :
 * gudhi-devel@lists.gforge.inria.fr
 * gudhi-users@lists.gforge.inria.fr (not for release candidate)
-
diff --git a/.github/next_release.md b/.github/next_release.md
index 14546066..cd2376eb 100644
--- a/.github/next_release.md
+++ b/.github/next_release.md
@@ -1,47 +1,19 @@
-We are pleased to announce the release 3.3.0 of the GUDHI library.
+We are pleased to announce the release 3.4.0 of the GUDHI library.
 
-As a major new feature, the GUDHI library now offers a persistence-based clustering algorithm, weighted Rips complex using DTM
-and edge collapse.
+As a major new feature, the GUDHI library now offers ...
 
-The GUDHI library is hosted on GitHub, 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).
+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.3.4.0.tar.gz).
 
-Below is a list of changes made since GUDHI 3.2.0:
+Below is a list of changes made since GUDHI 3.3.0:
 
-- [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
-
-- [Edge Collapse](https://gudhi.inria.fr/doc/latest/group__edge__collapse.html) of a filtered flag complex
-     - This C++ implementation reduces a filtration of Vietoris-Rips complex from its graph to another smaller
-     flag filtration with the same persistence.
-
-- [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
-
-- Persistence representations
-     - [Atol](https://gudhi.inria.fr/python/latest/representations.html#gudhi.representations.vector_methods.Atol)
-     is integrated in finite vectorisation methods. This
-     [article](https://www.fujitsu.com/global/about/resources/news/press-releases/2020/0316-01.html) talks about
-     applications using Atol. This module was originally available at
-     [https://github.com/martinroyer/atol](https://github.com/martinroyer/atol)
-     - 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
+- [Module](link)
+     - ...
 
 - Miscellaneous
-     - 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.
+     - The [list of bugs that were solved since GUDHI-3.3.0](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.4.0+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.
@@ -53,4 +25,3 @@ We provide [bibtex entries](https://gudhi.inria.fr/doc/latest/_citation.html) fo
 Feel free to [contact us](https://gudhi.inria.fr/contact/) in case you have any questions or remarks.
 
 For further information about downloading and installing the library ([C++](https://gudhi.inria.fr/doc/latest/installation.html) or [Python](https://gudhi.inria.fr/python/latest/installation.html)), please visit the [GUDHI web site](https://gudhi.inria.fr/).
-