Merge pull request #138 from mrava87/patch-setup

build: switch from setup.py to pyproject.toml

Author: mrava87

.github/workflows/build.yaml

@@ -4,12 +4,12 @@ on: [push, pull_request]
 
 jobs:
   build:
-
-    runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.8]
+        platform: [ ubuntu-latest, macos-latest ]
+        python-version: ["3.8", "3.9", "3.10"]
 
+    runs-on: ${{ matrix.platform }}
     steps:
     - uses: actions/checkout@v2
     - name: Set up Python ${{ matrix.python-version }}

.readthedocs.yaml

@@ -21,5 +21,5 @@ sphinx:
 python:
   install:
     - requirements: requirements-dev.txt
-    - method: setuptools
+    - method: pip
       path: .

Makefile

@@ -31,7 +31,7 @@ dev-install_conda:
 
 tests:
 	make pythoncheck
-	$(PYTHON) setup.py test
+	pytest
 
 doc:
 	cd docs  && rm -rf source/api/generated && rm -rf source/gallery &&\

azure-pipelines.yml

@@ -64,7 +64,7 @@ jobs:
     displayName: 'Install prerequisites and library'
 
   - script: |
-      python setup.py test
+      pytest
     condition: succeededOrFailed()
     displayName: 'Run tests'
 
@@ -93,7 +93,7 @@ jobs:
     displayName: 'Install prerequisites and library'
 
   - script: |
-      python setup.py test
+      pytest
     condition: succeededOrFailed()
     displayName: 'Run tests'
 

pyproject.toml

@@ -0,0 +1,3 @@
+[build-system]
+requires = ["setuptools", "setuptools-scm"]
+build-backend = "setuptools.build_meta"

setup.cfg

@@ -1,6 +1,56 @@
+[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 = [email protected]
+maintainer = "Matteo Ravasi"
+maintainer_email = [email protected]
+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
 
 [tool:pytest]
 addopts = --verbose
-python_files = pytests/*.py
+python_files = pytests/*.py