Feat/new ci

.github/workflows/ci.yaml

@@ -0,0 +1,29 @@
+name: Continuous Integration
+
+on: [push]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv and set the python version
+        uses: astral-sh/setup-uv@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install the project
+        run: uv pip install -r pyproject.toml --all-extras
+
+      - name: Run tests with coverage
+        run: uv run pytest tests
+
+      # TODO: figure out how to use this
+      # - name: Produce coverage report
+      #   run: uv run coverage report -m

README.md

@@ -1,4 +1,4 @@
-# ConditionalGMM [![Build Status](https://travis-ci.com/tmcclintock/ConditionalGMM.svg?branch=master)](https://travis-ci.com/tmcclintock/ConditionalGMM) [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![Coverage Status](https://coveralls.io/repos/github/tmcclintock/ConditionalGMM/badge.svg?branch=master&service=github)](https://coveralls.io/github/tmcclintock/CondigionalGMM?branch=master&service=github)
+# ConditionalGMM [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
 
 This repository contains helpful functions for computing conditional distributions of multivariate normal distributions and Gaussian mixture models (GMMs). It is able to return not only the conditional means (expectation values) but also the conditional covariances and conditional component weights (probabilities).
 

pyproject.toml

@@ -9,6 +9,11 @@ readme = "README.md"
 requires-python = ">=3.9"
 classifiers = [
     "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
     "Operating System :: OS Independent",
 ]
 license = "MIT"
@@ -22,10 +27,28 @@ dependencies = [
 [project.optional-dependencies]
 test = [
   "pytest",
-  "coverage",
+  "coverage[toml]",
 ]
 
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
 [project.urls]
 Homepage = "https://github.com/tmcclintock/ConditionalGMM"
 Issues = "https://github.com/tmcclintock/ConditionalGMM/issues"
 
+[tool.coverage.run]
+include = ["./ConditionalGMM/*"]
+omit = [
+  "*tests*",
+  "*__init__*"
+]
+
+[tool.coverage.report]
+show_missing = true
+exclude_lines = [
+  "pragma: no cover",
+  "if __name__ == .__main__.:",
+  "@tf.function"
+]