feat: add a schema for the pixi.toml

.github/workflows/schema.yml

@@ -0,0 +1,31 @@
+name: Test Schema
+
+on:
+  push:
+    branches:
+      - main
+    paths-ignore:
+      - "docs/**"
+      - "mkdocs.yml"
+      - "*.md"
+  workflow_dispatch:
+  pull_request:
+    paths:
+      - "**/pixi.toml"
+      - "schema/**"
+      - "**/schema.yml"
+
+jobs:
+  test-schema:
+    runs-on: ubuntu-latest
+    steps:
+        - uses: actions/checkout@v4
+
+        - uses: prefix-dev/[email protected]
+          with:
+            pixi-version: v0.15.2
+            cache: true
+
+        - name: Test Schema
+          run: |
+            pixi run test-schema

.pre-commit-config.yaml

@@ -1,14 +1,14 @@
 repos:
   -   repo: https://github.com/pre-commit/pre-commit-hooks
-      rev: v4.4.0
+      rev: v4.5.0
       hooks:
         -   id: check-yaml
         -   id: end-of-file-fixer
         -   id: trailing-whitespace
   # Use ruff for python examples
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: v0.0.274
+    rev: v0.3.1
     hooks:
       - id: ruff
         args: [ --fix, --exit-non-zero-on-fix ]
@@ -41,7 +41,7 @@ repos:
           entry: cargo test
           pass_filenames: false
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.2.5
+    rev: v2.2.6
     hooks:
     - id: codespell
 exclude: ".snap"

.ruff.toml

@@ -0,0 +1,6 @@
+target-version = "py312"
+line-length = 100
+
+[format]
+quote-style = "double"
+indent-style = "space"

docs/configuration.md

@@ -501,5 +501,5 @@ test = ["test"]
 [environments]
 test = {features = ["test"], solve-group = "test"}
 prod = {features = ["prod"], solve-group = "test"}
-lint = "lint"
+lint = ["lint"]
 ```

examples/ctypes-factorial/src/factorial.py

@@ -1,6 +1,7 @@
 import argparse
 import ctypes
 import sys
+
 from loguru import logger as log
 
 log.remove()
@@ -49,7 +50,7 @@ def c_factorial(n):
     parser.add_argument(
         "n",
         type=int,
-        nargs='?',
+        nargs="?",
         default=10,
         help="Number for which to calculate the factorial."
     )

examples/lightgbm/main.py

@@ -1,16 +1,16 @@
-import pandas as pd
-from sklearn.model_selection import train_test_split
 import lightgbm as lgb
+import pandas as pd
 from sklearn.metrics import accuracy_score, confusion_matrix
+from sklearn.model_selection import train_test_split
 
 # load data
 df = pd.read_csv("Breast_cancer_data.csv")
 
 # Declare feature vector and target variable
 X = df[[
-    'mean_radius','mean_texture','mean_perimeter',
-    'mean_area','mean_smoothness']]
-y = df['diagnosis']
+    "mean_radius","mean_texture","mean_perimeter",
+    "mean_area","mean_smoothness"]]
+y = df["diagnosis"]
 
 # split the dataset into the training set and test set
 X_train, X_test, y_train, y_test = train_test_split(

examples/opencv/calibrate.py

@@ -54,9 +54,9 @@
         break
     elif k % 256 == 32:
         # SPACE pressed
-        img_name = "opencv_frame_{}.png".format(img_counter)
+        img_name = f"opencv_frame_{img_counter}.png"
         cv2.imwrite(img_name, frame_clean)
-        print("{} written!".format(img_name))
+        print(f"{img_name} written!")
         img_counter += 1
 
         # Convert to grayscale

examples/opencv/webcam_capture.py

@@ -1,5 +1,6 @@
-import cv2
 import os
+
+import cv2
 import requests
 
 
@@ -35,7 +36,7 @@ def capture_and_grayscale():
 
     # Check if the webcam is opened correctly
     if not working_cam.isOpened():
-        raise IOError("Cannot open webcam")
+        raise OSError("Cannot open webcam")
 
     while True:
         # Read the current frame from the webcam

examples/polarify/tests/test_versions.py

@@ -1,6 +1,8 @@
-import polars
 import sys
 
+import polars
+
+
 def test_versions():
     print("") # empty line
     print(f"Polars version: {polars.__version__}")

examples/pypi/pycosat_example.py

@@ -1,5 +1,6 @@
 # Extremely simple example of using pycosat to show we can run sdist packages
 import pycosat
+
 cnf = [[1, -5, 4], [-1, 5, 3, 4], [-3, -4]]
 result = pycosat.solve(cnf)
 print(result)

examples/qgis/get_data.py

@@ -1,5 +1,5 @@
-import requests
 import geopandas as gpd
+import requests
 
 # URL for USGS data feed for all earthquakes in the last 7 days
 url = "https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_week.geojson"
@@ -11,6 +11,6 @@
 gdf = gpd.read_file(url)
 
 # Save to local GeoJSON file
-gdf.to_file("earthquakes.geojson", driver='GeoJSON')
+gdf.to_file("earthquakes.geojson", driver="GeoJSON")
 
 print("Data downloaded and saved to earthquakes.geojson")

examples/rerun_example/dna_example.py

@@ -1,8 +1,9 @@
-import rerun as rr
+from math import tau
+
 import numpy as np
+import rerun as rr
 from rerun_demo.data import build_color_spiral
 from rerun_demo.util import bounce_lerp
-from math import tau
 
 NUM_POINTS = 100
 

examples/rerun_example/force_driven_lockfile_graph.py

@@ -1,23 +1,24 @@
-import rerun as rr
-import networkx as nx
-import yaml
-import numpy as np
 import hashlib
 import sys
 
+import networkx as nx
+import numpy as np
+import rerun as rr
+import yaml
+
 # Give relative path or default to local pixi.lock
-lockfile_path = sys.argv[1] if len(sys.argv) > 1 else 'pixi.lock'
+lockfile_path = sys.argv[1] if len(sys.argv) > 1 else "pixi.lock"
 
-with open(lockfile_path, 'r') as file:
+with open(lockfile_path) as file:
     lockfile_data = yaml.safe_load(file)
 
-package_data = lockfile_data['package']
-package_names = [package['name'] for package in package_data]
+package_data = lockfile_data["package"]
+package_names = [package["name"] for package in package_data]
 
 graph = nx.DiGraph()
 for package in package_data:
-    package_name = package['name']
-    dependencies = package.get('dependencies', [])
+    package_name = package["name"]
+    dependencies = package.get("dependencies", [])
     graph.add_node(package_name)
     for i, dep in enumerate(dependencies):
         graph.add_edge(package_name, dep.split(" ")[0])
@@ -26,7 +27,7 @@
 rr.connect()
 
 def hash_string_to_int(string):
-    return int(hashlib.sha256(string.encode('utf-8')).hexdigest(), 16) % (10 ** 8)
+    return int(hashlib.sha256(string.encode("utf-8")).hexdigest(), 16) % (10 ** 8)
 
 
 # Memoization dictionary

examples/solve-groups/test_imports.py

@@ -1,7 +1,9 @@
 import os
 import sys
+
 import pytest
 
+
 def test_imports():
     if os.environ["PIXI_ENVIRONMENT_NAME"] == "min-py38":
         # importing pydantic is not possible in this environment