Migrate to uv, drop Python 3.9, remove download functionality (#129)

Author: leonlan

.github/workflows/publish.yml

@@ -0,0 +1,23 @@
+name: Publish
+
+on:
+  release:
+    types: [ created ]
+
+jobs:
+  run:
+    name: "Build and publish release"
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v3
+        with:
+          version: "0.8.10"
+
+      - run: uv python install 3.12
+      - run: uv build
+      - run: uv publish
+        env:
+            UV_PUBLISH_TOKEN: ${{ secrets.PYPI_API_TOKEN }}

.github/workflows/vrplib.yml

@@ -5,68 +5,46 @@ on:
     branches: [ main ]
   pull_request:
     branches: [ main ]
-  release:
-    types: [created]
-
 
 jobs:
   build:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [ '3.9', '3.10', '3.11', '3.12' ]
+        python-version: [ '3.10', '3.11', '3.12', '3.13' ]
     steps:
       - uses: actions/checkout@v4
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-      - name: Update pip and poetry
-        run: |
-          python -m pip install --upgrade pip
-          pip install poetry
-      - name: Cache Python dependencies
-        uses: actions/cache@v4
-        id: cache-python
+
+      - name: Install the latest version of uv
+        uses: astral-sh/setup-uv@v6
         with:
-          path: ~/.cache/pypoetry
-          key: python-${{ env.pythonLocation }}-${{ hashFiles('pyproject.toml') }}
-      - name: Install Python dependencies
-        if: steps.cache-python.outputs.cache-hit != 'true'
-        run: poetry install
+          version: "0.8.10"
+          enable-cache: true
+
+      - name: Install Python version
+        run: uv python install ${{ matrix.python-version }}
+
+      - name: Install the project
+        run: uv sync
+
       - name: Cache pre-commit
         uses: actions/cache@v4
         id: cache-pre-commit
         with:
           path: ~/.cache/pre-commit/
-          key: pre-commit-${{ env.pythonLocation }}-${{ hashFiles('.pre-commit-config.yaml') }}
+          key: pre-commit-${{ matrix.python-version }}-${{ hashFiles('.pre-commit-config.yaml') }}
+
       - name: Install pre-commit
         if: steps.cache-pre-commit.outputs.cache-hit != 'true'
-        run: poetry run pre-commit install --install-hooks
+        run: uv run pre-commit install --install-hooks
+
       - name: Run pre-commit
-        run: poetry run pre-commit run --all-files
-      - name: Run pytest
-        run: poetry run pytest
-      - uses: codecov/codecov-action@v3
+        run: uv run pre-commit run --all-files
+
+      - name: Run tests
+        run: uv run pytest
+
+      - name: Upload coverage reports to Codecov
+        uses: codecov/codecov-action@v3
         env:
           CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
-
-  deploy:
-    needs: build
-    if: github.event_name == 'release' && github.event.action == 'created'
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: 3.9
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install poetry
-      - name: Deploy to PyPI
-        run: |
-          poetry config pypi-token.pypi ${{ secrets.PYPI_TOKEN }}
-          poetry build
-          poetry publish

.pre-commit-config.yaml

@@ -1,25 +1,20 @@
 fail_fast: true
 
 repos:
--   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v6.0.0
     hooks:
-    -   id: debug-statements
-        id: trailing-whitespace
-        id: end-of-file-fixer
+      - id: debug-statements
+      - id: end-of-file-fixer
 
--   repo: https://github.com/psf/black
-    rev: 23.3.0
+  - repo: https://github.com/charliermarsh/ruff-pre-commit
+    rev: v0.12.8
     hooks:
-    -   id: black
+      - id: ruff
+        args: [--fix, --exit-non-zero-on-fix]
+      - id: ruff-format
 
--   repo: https://github.com/charliermarsh/ruff-pre-commit
-    rev: 'v0.0.261'
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.17.1
     hooks:
-    -   id: ruff
-        args: [--fix]
-
--   repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.2.0
-    hooks:
-    -   id: mypy
+      - id: mypy

README.md

@@ -108,25 +108,6 @@ Vehicle types: [1, 2, 3]
 ```
 
 
-### Downloading from CVRPLIB 
-
-> [!WARNING]  
-> This functionality is deprecated and will be removed in the next major version.
-
-``` python
-import vrplib
-
-# Download an instance and a solution file 
-vrplib.download_instance("X-n101-k25", "/path/to/instances/")
-vrplib.download_solution("X-n101-k25", "/path/to/solutions/")
-
-# List all instance names that can be downloaded 
-vrplib.list_names()                      # All instance names
-vrplib.list_names(low=100, high=200)     # Instances with between [100, 200] customers
-vrplib.list_names(vrp_type="cvrp")       # Only CVRP instances
-vrplib.list_names(vrp_type="vrptw")      # Only VRPTW instances
-```
-
 
 ## Documentation
 - [VRPLIB instance format](#vrplib-instance-format)
@@ -246,6 +227,5 @@ Reading the above example solution returns the following dictionary:
 ```
 
 ### Other remarks
-- The `XML100` benchmark set is not listed in `list_names` and cannot be downloaded through this package. You can download these instances directly from [CVRPLIB](http://vrp.atd-lab.inf.puc-rio.br/index.php/en/).
 - In the literature, some instances use rounding conventions different from what is specified in the instance. For example, X instance set proposed by [Uchoa et al. (2017)](http://vrp.atd-lab.inf.puc-rio.br/index.php/en/new-instances) assumes that the distances are rounded to the nearest integer. When you use the `vrplib` package to read this instance, it will return non-rounded Euclidean distances because the instance specifies the `EUC_2D` edge weight type which implies no rounding. To adhere to the convention used in the literature, you can manually round the distances matrix.
 - For large instances (>5000 customers) it's recommended to set the `compute_edge_weights` argument to `False` in `read_instance`.