build: fixed setup to allow correct versioning (#139)

.github/workflows/build.yaml

@@ -11,18 +11,23 @@ jobs:
 
     runs-on: ${{ matrix.platform }}
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v3
+    - name: Get history and tags for SCM versioning to work
+      run: |
+        git fetch --prune --unshallow
+        git fetch --depth=1 origin +refs/tags/*:refs/tags/*
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v4
       with:
         python-version: ${{ matrix.python-version }}
     - name: Install dependencies
       run: |
-        python -m pip install --upgrade pip
+        python -m pip install --upgrade pip setuptools
         pip install flake8 pytest
         if [ -f requirements.txt ]; then pip install -r requirements-dev.txt; fi
     - name: Install pyproximal
       run: |
+        python -m setuptools_scm
         pip install .
     - name: Test with pytest
       run: |

pyproject.toml

@@ -1,3 +1,49 @@
 [build-system]
-requires = ["setuptools", "setuptools-scm"]
-build-backend = "setuptools.build_meta"
+requires = [
+    "setuptools >= 65",
+    "setuptools_scm[toml]",
+    "wheel",
+]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "pyproximal"
+description = "Python library implementing proximal operators to solve non-smooth, constrained convex problems with proximal algorithms"
+readme = "README.md"
+authors = [
+    {name = "Matteo Ravasi", email = "matteoravasi@gmail.com"},
+]
+license = {file = "LICENSE.md"}
+keywords = ["algebra", "inverse problems", "proximal", "convex optimization", "large-scale optimization"]
+classifiers = [
+    "Development Status :: 5 - Production/Stable",
+    "Intended Audience :: Developers",
+    "Intended Audience :: Science/Research",
+    "Intended Audience :: Education",
+    "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
+    "Natural Language :: English",
+    "Operating System :: OS Independent",
+    "Programming Language :: Python :: 3 :: Only",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Topic :: Scientific/Engineering : Mathematics",
+]
+dependencies = [
+    "numpy >= 1.15.0",
+    "scipy >= 1.8.0",
+    "pylops >= 2.0.0",
+]
+dynamic = ["version"]
+
+[project.optional-dependencies]
+advanced = [
+    "llvmlite",
+    "numba",
+]
+
+[tool.setuptools.packages.find]
+exclude = ["pytests"]
+
+[tool.setuptools_scm]
+version_file = "pyproximal/version.py"

setup.cfg

@@ -1,53 +1,3 @@
-[metadata]
-name = pyproximal
-fullname = PyProximal
-description = Python library implementing proximal operators to solve non-smooth, constrained convex problems with proximal algorithms
-long_description = file: README.md
-long_description_content_type = text/markdown
-author = The PyLops Development Team
-author_email = matteoravasi@gmail.com
-maintainer = "Matteo Ravasi"
-maintainer_email = matteoravasi@gmail.com
-license = LGPL-3.0 License
-license_file = LICENSE.md
-platform = any
-keywords = algebra, inverse problems, proximal, convex optimization, large-scale optimization
-classifiers =
-    Development Status :: 5 - Production/Stable
-    Intended Audience :: Developers
-    Intended Audience :: Science/Research
-    Intended Audience :: Education
-    License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3),
-    Natural Language :: English
-    Operating System :: OS Independent
-    Programming Language :: Python :: 3 :: Only
-    Programming Language :: Python :: 3.8
-    Programming Language :: Python :: 3.9
-    Programming Language :: Python :: 3.10
-    Topic :: Scientific/Engineering : Mathematics
-url = https://github.com/pylops/pyproximal
-
-project_urls =
-    Documentation = https://pyproximal.readthedocs.io/
-    Release Notes = https://github.com/pylops/pyproximal/releases
-    Bug Tracker = https://github.com/pylops/pyproximal/issues
-    Source Code = https://github.com/pylops/pyproximal
-
-[options]
-zip_safe = True
-include_package_data = True
-packages = find:
-python_requires = >=3.8
-install_requires =
-    numpy >= 1.15.0
-    scipy >= 1.8.0
-    pylops >= 2.0.0
-
-[options.extras_require]
-advanced =
-    llvmlite
-    numba
-
 [aliases]
 test=pytest