Add hosting of built wheel at PyPI - develop

.github/workflows/pypi_build.yaml

@@ -0,0 +1,88 @@
+name: Create and publish pypi image
+
+on:
+  # only runs when there are pushes to develop and main for publishing
+  # and for testing, pull requests to develop and main
+  # and if there are changes to the build process and github action
+  push:
+    branches: 
+      - develop
+      - main
+    paths:
+      - 'setup.py'
+      - '.github/workflows/pypi*'  
+  pull_request:
+    branches:
+      - main
+      - develop
+      - 'rc*'
+
+jobs:
+  create-pypi-image:
+    name: >-
+      Create .whl 🛞 from SHARPy distribution
+    runs-on: ubuntu-latest
+    env:
+      python-version-chosen: "3.10.8"
+    permissions:
+      contents: read
+      packages: write
+
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python ${{ env.python-version-chosen }}
+        uses: actions/setup-python@v2
+        with:
+          python-version: ${{ env.python-version-chosen }}
+      - name: Set up GCC
+        uses: egor-tensin/setup-gcc@v1
+        with:
+          version: 10
+          platform: x64
+      - name: Pre-Install dependencies
+        run: |
+          export QT_QPA_PLATFORM='offscreen'
+          sudo apt install libeigen3-dev
+          git submodule init
+          git submodule update
+      - name: Install pypa/build
+        run: >-
+          python3 -m
+          pip install
+          build
+          --user    
+      - name: Install wheel
+        run: python3 -m pip install wheel --user
+      - name: Build a binary wheel and a source tarball
+        run: python3 setup.py bdist_wheel
+      - name: Find the wheel created during pip install
+        run: 
+          python3 -m pip cache dir
+      - name: Store the distribution packages
+        uses: actions/upload-artifact@v3
+        with:
+          name: python-package-distributions
+          path: dist/
+
+  publish-to-pypi:
+    name: >-
+      Publish Python 🐍 distribution 📦 to PyPI
+    if: startsWith(github.ref, 'refs/tags/v')  # only publish to PyPI on tag pushes
+    needs:
+    - create-pypi-image
+    runs-on: ubuntu-latest
+    environment:
+      name: pypi
+      url: https://pypi.org/p/icl_sharpy  # Replace <package-name> with your PyPI project name
+    permissions:
+      id-token: write  # IMPORTANT: mandatory for trusted publishing
+    steps:
+    - name: Download all the dists
+      uses: actions/download-artifact@v3
+      with:
+        name: python-package-distributions
+        path: dist/
+    - name: Publish distribution 📦 to PyPI
+      uses: pypa/gh-action-pypi-publish@release/v1
+      # with:
+      #   path: dist/*

.github/workflows/readme.md

@@ -1,6 +1,6 @@
 # SHARPy GitHub Workflows
 
-There are 4 automated workflows for SHARPy's CI/CD.
+There are 4(+1 experimental) automated workflows for SHARPy's CI/CD.
 
 ## SHARPy Tests
 
@@ -19,5 +19,12 @@ Python code, hence allowing the merge.
 Two nearly identical workflows, the only difference is that one pushes the Docker 
 image to the SHARPy packages. Therefore:
 
-    * `docker_build.yaml`: Builds the Docker image but does not push. Runs on changes to the `docker*` workflows, changes to the `utils/` directory (environments) and changes to the `Dockerfile`. Required test for PRs to merge to `develop` and `main`.
+    * `docker_build_test.yaml`: Builds the Docker image but does not push. Runs on changes to the `docker*` workflows, changes to the `utils/` directory (environments) and changes to the `Dockerfile`. Required test for PRs to merge to `develop` and `main`.
     * `docker_build.yaml`: Builds and pushes the Docker image. Runs on pushes to `develop`, `main` and annotated tags.
+
+## Pypi (experimental!)
+
+One workflow with two jobs, the first creates and the second pushes the wheel 
+artifact to icl-sharpy @ pypi. Therefore:
+
+    * `pypi_build.yaml`: Builds and pushes the pypi wheel according to conditions. Runs on changes to the `pypi*` workflow, changes to the `setup.py`, and PRs and pushes to main and develop. Required test for PRs to merge to `develop` and `main`. Publishes on annotated tags.    

CHANGELOG.md

@@ -1,5 +1,48 @@
 # Changelog
 
+## [2.3](https://github.com/imperialcollegelondon/sharpy/tree/2.3) (2024-05-10)
+
+[Full Changelog](https://github.com/imperialcollegelondon/sharpy/compare/2.2...2.3)
+
+**Implemented enhancements:**
+
+- Version 2.3 update [\#289](https://github.com/ImperialCollegeLondon/sharpy/pull/289) ([ben-l-p](https://github.com/ben-l-p))
+- Update develop branch with main [\#284](https://github.com/ImperialCollegeLondon/sharpy/pull/284) ([ben-l-p](https://github.com/ben-l-p))
+- Added pip install \(with docs\) [\#280](https://github.com/ImperialCollegeLondon/sharpy/pull/280) ([ben-l-p](https://github.com/ben-l-p))
+- Update beamplot.py to have stride option, consistent with aerogridplot.py [\#279](https://github.com/ImperialCollegeLondon/sharpy/pull/279) ([kccwing](https://github.com/kccwing))
+
+**Fixed bugs:**
+
+- Fix Github Runner Docker build failing [\#285](https://github.com/ImperialCollegeLondon/sharpy/pull/285) ([ben-l-p](https://github.com/ben-l-p))
+- Add scipy version info to env yml [\#277](https://github.com/ImperialCollegeLondon/sharpy/pull/277) ([SJ-Innovation](https://github.com/SJ-Innovation))
+
+**Closed issues:**
+
+- Scipy 1.12.0 Incompatible [\#276](https://github.com/ImperialCollegeLondon/sharpy/issues/276)
+- BeamLoader postprocessor squishing answers [\#270](https://github.com/ImperialCollegeLondon/sharpy/issues/270)
+- Solving Environment gets killed. [\#268](https://github.com/ImperialCollegeLondon/sharpy/issues/268)
+- Error when running sharpy unittest: module scipy.sparse.\_sputils not found [\#227](https://github.com/ImperialCollegeLondon/sharpy/issues/227)
+- Potential bug in /sharpy/structure/utils/modalutils.py [\#208](https://github.com/ImperialCollegeLondon/sharpy/issues/208)
+
+**Merged pull requests:**
+
+- Added ability to turn aligned grid off [\#288](https://github.com/ImperialCollegeLondon/sharpy/pull/288) ([ben-l-p](https://github.com/ben-l-p))
+- Update with main for mamba fixes [\#286](https://github.com/ImperialCollegeLondon/sharpy/pull/286) ([ben-l-p](https://github.com/ben-l-p))
+- Correct typos caught by Divya Sanghi [\#283](https://github.com/ImperialCollegeLondon/sharpy/pull/283) ([bbahiam](https://github.com/bbahiam))
+- Develop: Update environment.yml to fix scipy version issue [\#282](https://github.com/ImperialCollegeLondon/sharpy/pull/282) ([kccwing](https://github.com/kccwing))
+- Update noaero.py for consistency in function input [\#275](https://github.com/ImperialCollegeLondon/sharpy/pull/275) ([kccwing](https://github.com/kccwing))
+- A few minor bug fixes [\#273](https://github.com/ImperialCollegeLondon/sharpy/pull/273) ([sduess](https://github.com/sduess))
+- Update XBeam version to include compiler optimisation [\#272](https://github.com/ImperialCollegeLondon/sharpy/pull/272) ([ben-l-p](https://github.com/ben-l-p))
+- Update XBeam version to include compiler optimisation [\#271](https://github.com/ImperialCollegeLondon/sharpy/pull/271) ([ben-l-p](https://github.com/ben-l-p))
+- Improve docs and code of newmark\_ss [\#267](https://github.com/ImperialCollegeLondon/sharpy/pull/267) ([bbahiam](https://github.com/bbahiam))
+- Changed Github runner from Conda to Mamba [\#266](https://github.com/ImperialCollegeLondon/sharpy/pull/266) ([ben-l-p](https://github.com/ben-l-p))
+- Changed Github runner from Conda to Mamba [\#265](https://github.com/ImperialCollegeLondon/sharpy/pull/265) ([ben-l-p](https://github.com/ben-l-p))
+- Hotfix for documentation search [\#264](https://github.com/ImperialCollegeLondon/sharpy/pull/264) ([kccwing](https://github.com/kccwing))
+- Hotfix for documentation - develop [\#263](https://github.com/ImperialCollegeLondon/sharpy/pull/263) ([kccwing](https://github.com/kccwing))
+- Hotfix for documentation - main [\#262](https://github.com/ImperialCollegeLondon/sharpy/pull/262) ([kccwing](https://github.com/kccwing))
+- Merging v2.2 into develop [\#261](https://github.com/ImperialCollegeLondon/sharpy/pull/261) ([kccwing](https://github.com/kccwing))
+
+
 ## [2.2](https://github.com/imperialcollegelondon/sharpy/tree/2.2) (2023-10-18)
 
 [Full Changelog](https://github.com/imperialcollegelondon/sharpy/compare/2.1...2.2)

docs/source/content/installation.md

@@ -1,7 +1,7 @@
-# SHARPy v2.2 Installation Guide
-__Last revision 26 February 2024__
+# SHARPy v2.3 Installation Guide
+__Last revision 10 June 2024__
 
-The following step by step tutorial will guide you through the installation process of SHARPy. This is the updated process valid from v2.2.
+The following step by step tutorial will guide you through the installation process of SHARPy. This is the updated process valid from v2.3.
 
 ## Requirements
 
@@ -113,7 +113,17 @@ These are specified in an Anaconda environment that shall be activated prior to
     ```
     This should take approximately 5 minutes to complete (Tested on Ubuntu 22.04.1). For installation on Apple Silicon, use ```environment_arm64.yml```; this requires GCC and GFortran to be installed prior.
 
-5. Activate the `sharpy` conda environment:
+   Installation using Conda can be memory intensive, and will give the message ```Collecting package metadata (repodata.json): - Killed``` if all the available RAM is filled. From testing, 16GB of total system RAM is reliable for Conda install, whereas 8GB may have issues. Three solutions are available:
+   * Increase available RAM (if running on a compute cluster etc)
+   * Use [Mamba](https://mamba.readthedocs.io/en/latest/), a more efficient drop-in replacement for Conda
+   * Create a blank conda environment and install the required packages:
+     	```bash
+      conda create --name sharpy python=3.10
+      conda config –add channels conda-forge
+      conda install eigen libopenblas libblas libcblas liblapack libgfortran libgcc libgfortran-ng
+      ```
+
+6. Activate the `sharpy` conda environment:
     ```bash
     conda activate sharpy
     ```
@@ -293,6 +303,20 @@ python -m unittest
 
 **Enjoy!**
 
+## Obtain SHARPy from PyPI (experimental!)
+
+You can obtain a built version of SHARPy, icl-sharpy, from PyPI [here](https://pypi.org/project/icl-sharpy/).
+
+To install at default directory use
+```
+python3 -m pip install icl-sharpy
+```
+To install at current directory use
+```
+python3 -m pip install --prefix . icl-sharpy
+```
+The source code can be found at `/lib/python3.10/site-packages/sharpy` and the executable at `/bin/sharpy`.
+
 ## Running SHARPy
 
 ### Automated tests

setup.py

@@ -103,7 +103,7 @@ def run(self):
     long_description = f.read()
 run()
 setup(
-    name="sharpy",
+    name="icl_sharpy", # due to the name sharpy being taken on pypi
     version=__version__,
     description="""SHARPy is a nonlinear aeroelastic analysis package developed
     at the Department of Aeronautics, Imperial College London. It can be used
@@ -130,16 +130,16 @@ def run(self):
     #     ],
     python_requires=">=3.8",
     install_requires=[
-        "numpy",
+        "numpy<2.0",
         "configobj",
         "h5py",
-        "scipy",
+        "scipy<1.14.0",
         "sympy",
         "matplotlib",
         "colorama",
         "dill",
         "jupyterlab",
-        "mayavi @ git+https://github.com/enthought/mayavi.git", #Used for TVTK. Bug in pip install, hence git clone
+        "mayavi", # github direct dependency removed since pip version is fixed, and also not compatible with pypi
         "pandas",
         "control",
         "openpyxl>=3.0.10",
@@ -162,8 +162,11 @@ def run(self):
                  ],
     },
     classifiers=[
-        "Operating System :: Linux, Mac OS",
-        "Programming Language :: Python, C++",
+        "Operating System :: MacOS",
+        "Operating System :: POSIX :: Linux",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Fortran",
+        "Programming Language :: C++"
         ],
 
     entry_points={