Use ruff instead of black, isort, and flake8

.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 +1,9 @@
 repos:
-  - repo: https://github.com/Quantco/pre-commit-mirrors-black
-    rev: 23.12.1
+  - repo: https://github.com/Quantco/pre-commit-mirrors-ruff
+    rev: 0.2.2
     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]
+      - id: ruff-conda
+      - id: ruff-format-conda
   - repo: https://github.com/Quantco/pre-commit-mirrors-mypy
     rev: "1.8.0"
     hooks:
@@ -27,7 +16,7 @@ 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$"

pyproject.toml

@@ -57,27 +57,12 @@ package-dir = {"" = "src"}
 where = ["src"]
 namespaces = false
 
-[tool.black]
-target-version = ['py38']
-exclude = '''
-/(
-    \.eggs
-  | \.git
-  | \.venv
-  | build
-  | dist
-)/
-'''
+[tool.ruff.lint]
+# Enable the isort rules.
+extend-select = ["I"]
 
-[tool.isort]
-profile = "black"
-multi_line_output = 3
-include_trailing_comma = true
-ensure_newline_before_comments = true
-line_length = 88
-known_first_party = "spox"
-skip_glob = '\.eggs/*,\.git/*,\.venv/*,build/*,dist/*'
-default_section = 'THIRDPARTY'
+[tool.ruff.lint.isort]
+known-first-party = ["spox"]
 
 [tool.mypy]
 python_version = "3.8"

src/spox/_standard.py

@@ -174,9 +174,9 @@ def propagate_values_onnx(self) -> Dict[str, PropValueType]:
         output_feed = run(model, input_feed)
 
         results = {
-            scope.var[str(name)]
-            ._which_output: unwrap_feed(scope.var[str(name)].unwrap_type(), result)
-            .value
+            scope.var[str(name)]._which_output: unwrap_feed(
+                scope.var[str(name)].unwrap_type(), result
+            ).value
             for name, result in output_feed.items()
         }
         return {k: v for k, v in results.items() if k is not None}

src/spox/_var.py

@@ -187,7 +187,7 @@ def __rxor__(self, other) -> "Var":
 
 
 def result_type(
-    *types: Union[Var, numpy.generic, int, float]
+    *types: Union[Var, numpy.generic, int, float],
 ) -> typing.Type[numpy.generic]:
     """Promote type for all given element types/values using ``np.result_type``."""
     return numpy.dtype(

src/spox/opset/ai/onnx/ml/v3.py

@@ -1,44 +1,29 @@
-# flake8: noqa
-import typing  # noqa: F401
-import warnings  # noqa: F401
+# ruff: noqa: E741 -- Allow ambiguous variable name
 from dataclasses import dataclass
-from typing import (  # noqa: F401
-    Any,
-    Callable,
+from typing import (
     Dict,
     Iterable,
-    List,
     Optional,
     Sequence,
     Tuple,
-    Union,
 )
-from typing import cast as typing_cast  # noqa: F401
 
-import numpy as np  # noqa: F401
-import numpy.typing as npt  # noqa: F401
+import numpy as np
 
 from spox._attributes import (
-    AttrDtype,
     AttrFloat32,
     AttrFloat32s,
-    AttrGraph,
     AttrInt64,
     AttrInt64s,
     AttrString,
     AttrStrings,
     AttrTensor,
-    AttrType,
 )
-from spox._fields import BaseAttributes, BaseInputs, BaseOutputs  # noqa: F401
-from spox._graph import Graph, subgraph  # noqa: F401
-from spox._internal_op import intro  # noqa: F401
-from spox._node import OpType  # noqa: F401
-from spox._standard import InferenceError, StandardNode  # noqa: F401
-from spox._type_system import Sequence as SpoxSequence  # noqa: F401
+from spox._fields import BaseAttributes, BaseInputs, BaseOutputs
+from spox._node import OpType
+from spox._standard import InferenceError, StandardNode
 from spox._type_system import Tensor, Type
-from spox._value_prop import PropValueType  # noqa: F401
-from spox._var import Var, result_type  # noqa: F401
+from spox._var import Var
 
 
 class _ArrayFeatureExtractor(StandardNode):

src/spox/opset/ai/onnx/ml/v4.py

@@ -1,44 +1,25 @@
-# flake8: noqa
-import typing  # noqa: F401
-import warnings  # noqa: F401
+# ruff: noqa: E741 -- Allow ambiguous variable name
 from dataclasses import dataclass
-from typing import (  # noqa: F401
-    Any,
-    Callable,
-    Dict,
+from typing import (
     Iterable,
-    List,
     Optional,
-    Sequence,
-    Tuple,
-    Union,
 )
-from typing import cast as typing_cast  # noqa: F401
 
-import numpy as np  # noqa: F401
-import numpy.typing as npt  # noqa: F401
+import numpy as np
 
 from spox._attributes import (
-    AttrDtype,
     AttrFloat32,
     AttrFloat32s,
-    AttrGraph,
     AttrInt64,
     AttrInt64s,
     AttrString,
     AttrStrings,
     AttrTensor,
-    AttrType,
 )
-from spox._fields import BaseAttributes, BaseInputs, BaseOutputs  # noqa: F401
-from spox._graph import Graph, subgraph  # noqa: F401
-from spox._internal_op import intro  # noqa: F401
-from spox._node import OpType  # noqa: F401
-from spox._standard import InferenceError, StandardNode  # noqa: F401
-from spox._type_system import Sequence as SpoxSequence  # noqa: F401
-from spox._type_system import Tensor, Type
-from spox._value_prop import PropValueType  # noqa: F401
-from spox._var import Var, result_type  # noqa: F401
+from spox._fields import BaseAttributes, BaseInputs, BaseOutputs
+from spox._node import OpType
+from spox._standard import StandardNode
+from spox._var import Var
 from spox.opset.ai.onnx.ml.v3 import (
     _ArrayFeatureExtractor,
     _Binarizer,

src/spox/opset/ai/onnx/v17.py

@@ -1,22 +1,18 @@
-# flake8: noqa
-import typing  # noqa: F401
-import warnings  # noqa: F401
+# ruff: noqa: E741 -- Allow ambiguous variable name
 from dataclasses import dataclass
-from typing import (  # noqa: F401
-    Any,
+from typing import (
     Callable,
     Dict,
     Iterable,
     List,
     Optional,
     Sequence,
     Tuple,
-    Union,
 )
-from typing import cast as typing_cast  # noqa: F401
+from typing import cast as typing_cast
 
-import numpy as np  # noqa: F401
-import numpy.typing as npt  # noqa: F401
+import numpy as np
+import numpy.typing as npt
 
 from spox._attributes import (
     AttrDtype,
@@ -30,15 +26,14 @@
     AttrTensor,
     AttrType,
 )
-from spox._fields import BaseAttributes, BaseInputs, BaseOutputs  # noqa: F401
-from spox._graph import Graph, subgraph  # noqa: F401
-from spox._internal_op import intro  # noqa: F401
-from spox._node import OpType  # noqa: F401
-from spox._standard import InferenceError, StandardNode  # noqa: F401
-from spox._type_system import Sequence as SpoxSequence  # noqa: F401
+from spox._fields import BaseAttributes, BaseInputs, BaseOutputs
+from spox._graph import Graph, subgraph
+from spox._node import OpType
+from spox._standard import InferenceError, StandardNode
+from spox._type_system import Sequence as SpoxSequence
 from spox._type_system import Tensor, Type
-from spox._value_prop import PropValueType  # noqa: F401
-from spox._var import Var, result_type  # noqa: F401
+from spox._value_prop import PropValueType
+from spox._var import Var
 
 
 class _Abs(StandardNode):

src/spox/opset/ai/onnx/v18.py

@@ -1,44 +1,24 @@
-# flake8: noqa
-import typing  # noqa: F401
-import warnings  # noqa: F401
+# ruff: noqa: E741 -- Allow ambiguous variable name
 from dataclasses import dataclass
-from typing import (  # noqa: F401
-    Any,
-    Callable,
-    Dict,
+from typing import (
     Iterable,
-    List,
     Optional,
     Sequence,
-    Tuple,
-    Union,
 )
-from typing import cast as typing_cast  # noqa: F401
 
-import numpy as np  # noqa: F401
-import numpy.typing as npt  # noqa: F401
+import numpy as np
+import numpy.typing as npt
 
 from spox._attributes import (
-    AttrDtype,
     AttrFloat32,
-    AttrFloat32s,
-    AttrGraph,
     AttrInt64,
     AttrInt64s,
     AttrString,
-    AttrStrings,
-    AttrTensor,
-    AttrType,
 )
-from spox._fields import BaseAttributes, BaseInputs, BaseOutputs  # noqa: F401
-from spox._graph import Graph, subgraph  # noqa: F401
-from spox._internal_op import intro  # noqa: F401
-from spox._node import OpType  # noqa: F401
-from spox._standard import InferenceError, StandardNode  # noqa: F401
-from spox._type_system import Sequence as SpoxSequence  # noqa: F401
-from spox._type_system import Tensor, Type
-from spox._value_prop import PropValueType  # noqa: F401
-from spox._var import Var, result_type  # noqa: F401
+from spox._fields import BaseAttributes, BaseInputs, BaseOutputs
+from spox._node import OpType
+from spox._standard import StandardNode
+from spox._var import Var
 from spox.opset.ai.onnx.v17 import (
     _DFT,
     _GRU,

src/spox/opset/ai/onnx/v19.py

@@ -1,22 +1,17 @@
-# flake8: noqa
-import typing  # noqa: F401
-import warnings  # noqa: F401
+# ruff: noqa: E741 -- Allow ambiguous variable name
 from dataclasses import dataclass
-from typing import (  # noqa: F401
-    Any,
+from typing import (
     Callable,
     Dict,
     Iterable,
     List,
     Optional,
     Sequence,
-    Tuple,
-    Union,
 )
-from typing import cast as typing_cast  # noqa: F401
+from typing import cast as typing_cast
 
-import numpy as np  # noqa: F401
-import numpy.typing as npt  # noqa: F401
+import numpy as np
+import numpy.typing as npt
 
 from spox._attributes import (
     AttrDtype,
@@ -28,17 +23,14 @@
     AttrString,
     AttrStrings,
     AttrTensor,
-    AttrType,
 )
-from spox._fields import BaseAttributes, BaseInputs, BaseOutputs  # noqa: F401
-from spox._graph import Graph, subgraph  # noqa: F401
-from spox._internal_op import intro  # noqa: F401
-from spox._node import OpType  # noqa: F401
-from spox._standard import InferenceError, StandardNode  # noqa: F401
-from spox._type_system import Sequence as SpoxSequence  # noqa: F401
+from spox._fields import BaseAttributes, BaseInputs, BaseOutputs
+from spox._graph import Graph, subgraph
+from spox._node import OpType
+from spox._standard import StandardNode
 from spox._type_system import Tensor, Type
-from spox._value_prop import PropValueType  # noqa: F401
-from spox._var import Var, result_type  # noqa: F401
+from spox._value_prop import PropValueType
+from spox._var import Var
 from spox.opset.ai.onnx.v18 import (
     _DFT,
     _GRU,