Create CI workflows

.github/workflows/build.yml

@@ -0,0 +1,57 @@
+name: CI
+
+on:
+  push:
+    branches: [ main ]
+  pull_request:
+    branches: [ main ]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    # needs: format_and_lint
+    strategy:
+      matrix:
+        python-version: ["3.11", "3.12"]
+
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Install uv
+      uses: astral-sh/setup-uv@v5
+      with:
+        python-version: ${{ matrix.python-version }}
+        enable-cache: true
+        cache-dependency-glob: "uv.lock"
+
+    # - name: Set up Python ${{ matrix.python-version }}
+    #   uses: actions/setup-python@v5
+    #   with:
+    #     python-version: ${{ matrix.python-version }}
+
+    - name: Install the project
+      run: uv sync --all-extras --dev
+
+    - name: Build
+      run: uv build
+
+    - name: Run tests
+      run: uv run pytest tests/
+
+  format_and_lint:
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: '3.11'
+    - name: Install the code linting and formatting tool Ruff
+      run: pipx install ruff
+    - name: Lint code with Ruff
+      run: ruff check --output-format=github --target-version=py311
+    - name: Check code formatting with Ruff
+      run: ruff format --diff --target-version=py311
+      # continue-on-error: true
+

pyproject.toml

@@ -94,4 +94,7 @@ allow-direct-references = true
 [tool.pytest.ini_options]
 markers = [
     "slow: marks tests as slow (deselect with '-m \"not slow\"')",
-]
+]
+
+[tool.ruff]
+lint.ignore = ["F722"] # https://docs.kidger.site/jaxtyping/faq/#flake8-or-ruff-are-throwing-an-error

src/stamp/preprocessing/extractor/empty.py

@@ -30,7 +30,7 @@ def empty() -> Extractor[_EmptyModel]:
         transform=torchvision.transforms.Compose(
             [
                 torchvision.transforms.PILToTensor(),
-                torchvision.transforms.Lambda(lambda x: x.float()),
+                torchvision.transforms.Lambda(torch.Tensor.float),
             ]
         ),
         identifier="empty",