* copy development to master working tree

docs/conf.py

@@ -304,7 +304,6 @@ def __getattr__(cls, name):
     "pandas",
     "scipy",
     "petsc4py",
-    "meshplex",
     "scipy.interpolate",
     "vtk",
     "vtk.util",

docs/contributing.rst

@@ -99,8 +99,7 @@ to ensure compatibility of all dependencies::
     conda config --env --set channel_priority strict
     conda install numpy pip scipy numpy-indexed cython compilers
     conda install pandas h5py meshio ruamel.yaml
-    conda install vtk mpi4py petsc4py meshplex
-    conda install xarray pyproj gflex
+    conda install vtk mpi4py petsc4py gflex
 
 .. note::
 

docs/getting_started/installDocker.rst

@@ -30,8 +30,9 @@ The goSPL image contains all the dependencies and configuration files required t
 
 Different flavors could be pulled using a tag and recommended ones are:
 
-1. The ``gosplcontainer`` tag points to the github ``v2023`` branch.
-2. The ``gosplmaster`` tag points to the github master branch and uses the latest
+1. The ``gospl:2024.09.01`` tag points to the ``2024.09.01`` goSPL branch,
+2. The ``gosplcontainer`` tag points to the github ``v2023`` goSPL branch,
+3. The ``gosplmaster`` tag points to the github master branch and uses the latest
    release.
 
 .. note::
@@ -43,7 +44,7 @@ On top of the libraries required for goSPL, the following main ones are availabl
 - xarray, rioxarray, xarray-spatial
 - pygmt, cartopy, pygplates
 - xesmf, metpy
-- stripy, meshio, meshplex, triangle
+- stripy, triangle
 - vtk, hdf5, netCDF4
 
 
@@ -54,9 +55,9 @@ Pulling the image
 ^^^^^^^^^^^^^^^^^
 
 Once you have installed Docker on your system, you can ``pull`` the
-`goSPL official image <https://hub.docker.com/r/geodels/gospl>`_ as follow::
+`goSPL official image <https://hub.docker.com/u/geodels>`_ as follow::
 
-  docker pull geodels/gosplmaster
+  docker pull geodels/gospl:2024.09.01
 
 
 You can list all the images available on your system as follow::
@@ -66,7 +67,7 @@ You can list all the images available on your system as follow::
 
 An image can be deleted as follow::
 
-  docker rmi geodels/gosplmaster
+  docker rmi geodels/gospl:2024.09.01
 
 
 Starting the container from a terminal
@@ -75,11 +76,11 @@ Starting the container from a terminal
 You can then start a docker container (an instance of
 an image)::
 
-  docker run -it -p 8888:8888 -d -v localDIR:/notebooks/geodels/gosplmaster:latest
+  docker run -it -p 8888:8888 -d -v localDIR:/notebooks
 
 where ``localDIR`` is the directory that contains the Jupyter Notebooks for your simulation.
 
-Once Docker is running, you could open the Jupyter notebooks on a web browser at the following address: `http://localhost:8888 <http://localhost:8888>`_. This should open in your ``localDIR`` directory.
+Once Docker is running, you could open the Jupyter notebooks on a web browser at the following address: `http://localhost:8888 <http://localhost:8888>`_. Going into the `/notebooks` folder you will access your ``localDIR`` directory.
 
 You can list the containers currently existing on your machine by running::
 
@@ -92,12 +93,12 @@ running containers.
 
 Docker containers can be stop (so that they do not use CPU or RAM resource)::
 
-  docker stop geodels/gosplmaster:latest
+  docker stop geodels/gospl:2024.09.01
 
 
 They can also be deleted::
 
-  docker rm geodels/gosplmaster:latest
+  docker rm geodels/gospl:2024.09.01
 
 
 .. important::

docs/getting_started/installSrc.rst

@@ -98,30 +98,12 @@ h5py                      2.10.0             Interface to the HDF5 binary data f
 pandas                    1.1.2              Data analysis and manipulation tool
 ruamel.yaml               0.16.12            Parsing YAML to Python objects
 meshio                    4.2.2              I/O for mesh files.
-meshplex                  0.13.4             Fast tools for simplex meshes
 pre-commit                2.7.1              Managing and maintaining multi-language pre-commit hooks
 vtk                       9.0.3              Toolkit for 3D computer graphics and image processing
 numpy-indexed             0.3.5              Functionality for indexed operations on numpy ndarrays
-xarray                    0.15.0             Labelled multi-dimensional arrays 
-pyproj                    2.5.0              Interface to PROJ (coordinate transformations)
-gflex                     1.1.0              Methods to solve elastic plate flexure
 ========================= ================== =============================================================
 
 
-Meshplex work-around
-----------------------
-
-
-In case where you are asked to download a licensed version of Meshplex, you might want to try the following alternatives:
-
-1. Use the version available from conda (conda install meshplex) this is version ``v0.15.14`` which is open-source and should work well.
-2. Download an older repository of Meshplex such as the one from `Geodels <https://github.com/Geodels/meshplex>`_ ``v0.8.0`` or from `here <https://github.com/kinnala/meshplex>`_ ``v0.13.3`` or `here <https://github.com/cottrell/meshplex>`_ ``v0.17.0`` 
-
-If you use option 2 and once the folder is downloaded, you can install the code by running in a terminal:: 
-
-      python3 -m pip install . 
-
-
 goSPL installation
 ----------------------
 

environment.yml

@@ -10,19 +10,16 @@ dependencies:
   - build
   - numpy
   - petsc4py
-  - pip
   - scipy
   - numpy-indexed
   - pandas
   - h5py
   - meshio
   - vtk
-  - pre-commit
   - ruamel.yaml
+  - gflex
   - mpi4py
   - cython
   - compilers
-  - meshplex
-  - gflex
   - pip:
     - git+https://github.com/Geodels/gospl.git