* Switch from setup.py to pyproject.toml

* Add numpy<2,pandas<2 test environment to build pipeline test matrix

.github/workflows/test.yml

@@ -11,6 +11,7 @@ jobs:
       matrix:
         os: [ubuntu-latest]
         python: ['3.9', '3.10', '3.11', '3.12']
+        test_numpy_pre2: [true, false]
     runs-on: ${{ matrix.os }}
 
     steps:
@@ -22,14 +23,17 @@ jobs:
     - uses: actions/cache@v3
       with:
         path: ~/.cache/pip
-        key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}-${{ hashFiles('**/requirements-test.txt') }}
+        key: ${{ runner.os }}-pip-${{ hashFiles('**/pyproject.toml') }}
         restore-keys: |
           ${{ runner.os }}-pip-
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
-        pip install -e .
-        pip install -r requirements-test.txt
+        if [ "${{ matrix.test_numpy_pre2 }}" = "true" ]; then
+          pip install ".[test,test_numpy_pre2]"
+        else
+          pip install ".[test]"          
+        fi
     - name: Test with pytest
       run: |
-        pytest tests/
+        pytest tests

CHANGES.rst

@@ -20,6 +20,9 @@ Version 1.0.34, Dec 2024
 * Remove unused test_gpu.twosigfigs function.
 * Refactor tests with Numpy() and Pandas() context managers to use single 'with' statement.
 
+* Switch from setup.py to pyproject.toml
+* Add numpy<2,pandas<2 test environment to build pipeline test matrix
+
 Version 1.0.33, Dec 2022
 ------------------------
 * fix of get_sub_hist() when Bin histogram is filled only with nans.

pyproject.toml

@@ -0,0 +1,72 @@
+[build-system]
+requires = ["setuptools"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "histogrammar"
+description = "Composable histogram primitives for distributed data reduction"
+keywords = [
+    "pandas",
+    "spark",
+    "data-science",
+    "data-analysis",
+    "statistics",
+    "python",
+    "jupyter",
+    "ipython"
+]
+readme = "README.rst"
+requires-python = ">=3.9"
+authors = [{ name = "Jim Pivarski (DIANA-HEP)", email = "[email protected]" }, { name = "Max Baak", email = "[email protected]" }]
+maintainers = [{ name = "Max Baak", email = "[email protected]" }]
+license = { type = "Apache Software License v2", file = "LICENSE" }
+dependencies = [
+    "numpy",
+    "tqdm",
+    "joblib>=0.14.0"
+]
+classifiers = ["Development Status :: 5 - Production/Stable",
+    "Environment :: Console",
+    "Intended Audience :: Science/Research",
+    "License :: OSI Approved :: Apache Software License",
+    "Topic :: Scientific/Engineering :: Information Analysis",
+    "Topic :: Scientific/Engineering :: Mathematics",
+    "Topic :: Scientific/Engineering :: Physics",
+]
+dynamic = ["version"]
+
+[project.optional-dependencies]
+test = [
+    "ipykernel>=5.1.3",
+    "jupyter_client>=5.2.3",
+    "matplotlib",
+    "pandas",
+    "pre-commit>=2.9.0",
+    "pytest-notebook>=0.6.1",
+    "pytest>=4.0.2",
+]
+test_numpy_pre2 = [
+    "numpy<2",
+    "pandas<2",
+]
+
+# files to be shipped with the installation, under: histogrammar/test_data and histogrammar/notebooks
+# after installation, these can be found with the functions in resources.py
+[tool.setuptools.package-data]
+histogrammar = [
+    "test_data/*.csv.gz",
+    "test_data/*.json*",
+    "notebooks/*tutorial*.ipynb",
+]
+
+[project.urls]
+repository = "https://github.com/histogrammar/histogrammar-python"
+
+[tool.semantic_release]
+version_variable = [
+    "histogrammar/version.py:version",
+]
+build_command = "pip install build && python -m build"
+
+[tool.setuptools.dynamic]
+version = { attr = "histogrammar.version.version" }