[pre-commit.ci] pre-commit autoupdate (#204)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.6.9 → v0.8.6](astral-sh/ruff-pre-commit@v0.6.9...v0.8.6)
- [github.com/psf/black: 24.8.0 → 24.10.0](psf/black@24.8.0...24.10.0)
- [github.com/adamchainz/blacken-docs: 1.18.0 → 1.19.1](adamchainz/blacken-docs@1.18.0...1.19.1)
- [github.com/pre-commit/mirrors-mypy: v1.11.2 → v1.14.1](pre-commit/mirrors-mypy@v1.11.2...v1.14.1)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* ci: make fixes

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Nathaniel Starkman <[email protected]>

Author: pre-commit-ci[bot]

.pre-commit-config.yaml

@@ -35,26 +35,26 @@ repos:
       - id: text-unicode-replacement-char
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: "v0.6.9"
+    rev: "v0.8.6"
     hooks:
       - id: ruff
         args:
           - --fix
 
   - repo: https://github.com/psf/black
-    rev: 24.8.0
+    rev: 24.10.0
     hooks:
       - id: black
         additional_dependencies: [toml]
 
   - repo: https://github.com/adamchainz/blacken-docs
-    rev: 1.18.0
+    rev: 1.19.1
     hooks:
       - id: blacken-docs
         additional_dependencies: [black]
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: "v1.11.2"
+    rev: "v1.14.1"
     hooks:
       - id: mypy
         additional_dependencies:

pyproject.toml

@@ -163,6 +163,7 @@ ignore = [
 
   # ruff (RUF)
   "RUF009",  # do not perform function call in dataclass defaults
+  "RUF022",
 
   # flake8-todo (TD)  # TODO: fix these
   "TD",

src/stream_mapper/pytorch/_base.py

@@ -13,7 +13,7 @@
 from stream_mapper.core import ModelBase as CoreModelBase
 from stream_mapper.core._connect.nn_namespace import NN_NAMESPACE
 from stream_mapper.core._connect.xp_namespace import XP_NAMESPACE
-from stream_mapper.core.typing import ArrayNamespace  # noqa: TCH001
+from stream_mapper.core.typing import ArrayNamespace  # noqa: TC001
 from stream_mapper.core.utils.dataclasses import ArrayNamespaceReprMixin
 from stream_mapper.core.utils.scale import names_intersect
 

src/stream_mapper/pytorch/_connect/data.py

@@ -25,7 +25,7 @@ def _from_tensor_to_tensor(data: Data[xp.Tensor], /, **kwargs: Any) -> Data[xp.T
 
 
 def _from_ndarray_to_tensor(
-    data: Data[np.ndarray[Any, Any]], /, **kwargs: Any
+    data: Data[np.ndarray[Any, Any]], /, **kwargs: Any  # type: ignore[type-var]
 ) -> Data[xp.Tensor]:
     """Convert from numpy.ndarray to torch.Tensor."""
     return replace(data, array=xp.asarray(data.array, **kwargs))
@@ -36,7 +36,7 @@ def _from_ndarray_to_tensor(
 
 def _from_tensor_to_ndarray(
     data: Data[xp.Tensor], /, **kwargs: Any
-) -> Data[np.ndarray[Any, Any]]:
+) -> Data[np.ndarray[Any, Any]]:  # type: ignore[type-var]
     """Convert from torch.Tensor to numpy.ndarray."""
     return replace(data, array=np.asarray(data.array, **kwargs))
 
@@ -51,7 +51,7 @@ def _from_tensor_to_ndarray(
 else:
 
     def _from_ndarraytype_to_tensor(
-        data: Data[np.ndarray[Any, Any]], /, **kwargs: Any
+        data: Data[np.ndarray[Any, Any]], /, **kwargs: Any  # type: ignore[type-var]
     ) -> Data[xp.Tensor]:
         """Convert from numpy.ndarray to torch.Tensor."""
         array = np.array(data.array, copy=True, subok=False)

src/stream_mapper/pytorch/builtin/compat/__init__.py

@@ -4,4 +4,4 @@
 from stream_mapper.pytorch.builtin.compat.nflow import NFlowModel
 from stream_mapper.pytorch.builtin.compat.zuko import ZukoFlowModel
 
-__all__ = ("ZukoFlowModel", "NFlowModel", "KDEModel")
+__all__ = ("KDEModel", "NFlowModel", "ZukoFlowModel")

src/stream_mapper/pytorch/builtin/compat/kde.py

@@ -4,7 +4,7 @@
 
 __all__: tuple[str, ...] = ()
 
-from collections.abc import Callable  # noqa: TCH003
+from collections.abc import Callable  # noqa: TC003
 from dataclasses import KW_ONLY, dataclass
 from typing import TYPE_CHECKING
 

src/stream_mapper/pytorch/prior.py

@@ -8,7 +8,7 @@
 from stream_mapper.core.prior import *  # noqa: F403
 from stream_mapper.core.prior._track import ControlRegions as CoreControlRegions
 from stream_mapper.core.prior._weight import HardThreshold as CoreHardThreshold
-from stream_mapper.core.typing import ArrayNamespace  # noqa: TCH001
+from stream_mapper.core.typing import ArrayNamespace  # noqa: TC001
 
 from stream_mapper.pytorch.typing import Array
 

src/stream_mapper/pytorch/typing.py

@@ -1,6 +1,6 @@
 """Pytorch type hints."""
 
-__all__ = ("Array", "NNModel", "ArrayNamespace")
+__all__ = ("Array", "ArrayNamespace", "NNModel")
 
 from torch import Tensor as Array
 from torch.nn import Module as NNModel