Pre-commit autoupdate

.github/workflows/ci.yml

@@ -74,5 +74,6 @@ jobs:
         run: |
           pip install .
           pip install pandoc
+          pre-commit install
           python tools/generate_opset.py
           git diff --exit-code

.pre-commit-config.yaml

@@ -1,20 +1,15 @@
 repos:
+  - repo: https://github.com/Quantco/pre-commit-mirrors-ruff
+    rev: 0.2.1
+    hooks:
+      - id: ruff-conda
   - repo: https://github.com/Quantco/pre-commit-mirrors-black
-    rev: 23.12.1
+    rev: 24.1.1
     hooks:
       - id: black-conda
         args:
           - --safe
           - --target-version=py38
-  - repo: https://github.com/Quantco/pre-commit-mirrors-flake8
-    rev: 6.1.0
-    hooks:
-      - id: flake8-conda
-  - repo: https://github.com/Quantco/pre-commit-mirrors-isort
-    rev: 5.13.2
-    hooks:
-      - id: isort-conda
-        additional_dependencies: [-c, conda-forge, toml=0.10.2]
   - repo: https://github.com/Quantco/pre-commit-mirrors-mypy
     rev: "1.8.0"
     hooks:
@@ -27,7 +22,7 @@ repos:
         args:
           - --py38
   - repo: https://github.com/Quantco/pre-commit-mirrors-prettier
-    rev: 3.1.1
+    rev: 3.2.4
     hooks:
       - id: prettier-conda
         files: "\\.md$"

src/spox/_schemas.py

@@ -1,4 +1,5 @@
 """Exposes information related to reference ONNX operator schemas, used by StandardOpNode."""
+
 import itertools
 from typing import (
     Callable,
@@ -16,11 +17,9 @@
 
 
 class _Comparable(Protocol):
-    def __lt__(self, other):
-        ...
+    def __lt__(self, other): ...
 
-    def __gt__(self, other):
-        ...
+    def __gt__(self, other): ...
 
 
 S = TypeVar("S")

src/spox/_scope.py

@@ -59,12 +59,10 @@ def __contains__(self, item: Union[str, H]) -> bool:
         )
 
     @overload
-    def __getitem__(self, item: H) -> str:
-        ...
+    def __getitem__(self, item: H) -> str: ...
 
     @overload
-    def __getitem__(self, item: str) -> H:
-        ...
+    def __getitem__(self, item: str) -> H: ...
 
     def __getitem__(self, item: Union[str, H]):
         """Access the name of an object or an object with a given name in this (or outer) namespace."""
@@ -76,12 +74,10 @@ def __getitem__(self, item: Union[str, H]):
             return self.name_of[item]
 
     @overload
-    def __setitem__(self, key: str, value: H):
-        ...
+    def __setitem__(self, key: str, value: H): ...
 
     @overload
-    def __setitem__(self, key: H, value: str):
-        ...
+    def __setitem__(self, key: H, value: str): ...
 
     def __setitem__(self, _key, _value):
         """Set the name of an object in exactly this namespace. Both ``[name] = obj`` and ``[obj] = name`` work."""

src/spox/_standard.py

@@ -1,4 +1,5 @@
 """Module implementing a base for standard ONNX operators, which use the functionality of ONNX node-level inference."""
+
 from typing import TYPE_CHECKING, Callable, Dict, Tuple
 
 import numpy

src/spox/_type_system.py

@@ -40,9 +40,11 @@ def _from_onnx(cls, proto: onnx.TypeProto) -> "Type":
         if proto.HasField("tensor_type"):
             return Tensor(
                 tensor_type_to_dtype(proto.tensor_type.elem_type),
-                Shape.from_onnx(proto.tensor_type.shape).to_simple()
-                if proto.tensor_type.HasField("shape")
-                else None,
+                (
+                    Shape.from_onnx(proto.tensor_type.shape).to_simple()
+                    if proto.tensor_type.HasField("shape")
+                    else None
+                ),
             )
         elif proto.HasField("sequence_type"):
             return Sequence(Type._from_onnx(proto.sequence_type.elem_type))

tests/test_custom_operator.py

@@ -5,6 +5,7 @@
 for the respective fields ``attrs/inputs/outputs`` and ``infer_output_types`` will be useful as well.
 Of these, ``propagate_values`` is probably least common.
 """
+
 from dataclasses import dataclass
 from typing import Dict