[pre-commit.ci] pre-commit autoupdate (pymc-devs#7191)

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

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.2.2 → v0.3.2](astral-sh/ruff-pre-commit@v0.2.2...v0.3.2)

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

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

---------

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

.pre-commit-config.yaml

@@ -27,7 +27,7 @@ repos:
         - --exclude=binder/
         - --exclude=versioneer.py
 - repo: https://github.com/astral-sh/ruff-pre-commit
-  rev: v0.2.2
+  rev: v0.3.2
   hooks:
     - id: ruff
       args: ["--fix", "--output-format=full"]

docs/source/conf.py

@@ -1,6 +1,4 @@
-""" Sphinx configuration file.
-
-"""
+"""Sphinx configuration file."""
 #!/usr/bin/env python3
 #
 # pymc documentation build configuration file, created by

pymc/backends/__init__.py

@@ -60,6 +60,7 @@
 Saved backends can be loaded using `arviz.from_netcdf`
 
 """
+
 from collections.abc import Mapping, Sequence
 from copy import copy
 from typing import Optional, Union

pymc/backends/arviz.py

@@ -12,6 +12,7 @@
 #   See the License for the specific language governing permissions and
 #   limitations under the License.
 """PyMC-ArviZ conversion code."""
+
 import logging
 import warnings
 

pymc/backends/base.py

@@ -16,6 +16,7 @@
 
 See the docstring for pymc.backends for more information
 """
+
 import itertools as itl
 import logging
 import warnings

pymc/backends/ndarray.py

@@ -17,7 +17,6 @@
 Store sampling values in memory as a NumPy array.
 """
 
-
 from typing import Any, Optional
 
 import numpy as np

pymc/blocking.py

@@ -17,6 +17,7 @@
 
 Classes for working with subsets of parameters.
 """
+
 from __future__ import annotations
 
 from collections.abc import Sequence

pymc/distributions/dist_math.py

@@ -17,6 +17,7 @@
 
 @author: johnsalvatier
 """
+
 import warnings
 
 from collections.abc import Iterable

pymc/distributions/shape_utils.py

@@ -17,6 +17,7 @@
 A collection of common shape operations needed for broadcasting
 samples from probability distributions for stochastic nodes in PyMC.
 """
+
 import warnings
 
 from collections.abc import Sequence

pymc/model/core.py

@@ -475,11 +475,9 @@ def __init__(self, mean=0, sigma=1, name=''):
 
     if TYPE_CHECKING:
 
-        def __enter__(self: Self) -> Self:
-            ...
+        def __enter__(self: Self) -> Self: ...
 
-        def __exit__(self, exc_type: None, exc_val: None, exc_tb: None) -> None:
-            ...
+        def __exit__(self, exc_type: None, exc_val: None, exc_tb: None) -> None: ...
 
     def __new__(cls, *args, **kwargs):
         # resolves the parent instance

pymc/plots/__init__.py

@@ -18,6 +18,7 @@
 "exploratory analysis of Bayesian models."
 See https://arviz-devs.github.io/arviz/ for details on plots.
 """
+
 import functools
 import sys
 import warnings

pymc/sampling/mcmc.py

@@ -386,8 +386,7 @@ def sample(
     callback=None,
     mp_ctx=None,
     **kwargs,
-) -> InferenceData:
-    ...
+) -> InferenceData: ...
 
 
 @overload
@@ -416,8 +415,7 @@ def sample(
     mp_ctx=None,
     model: Optional[Model] = None,
     **kwargs,
-) -> MultiTrace:
-    ...
+) -> MultiTrace: ...
 
 
 def sample(

pymc/sampling/population.py

@@ -129,9 +129,7 @@ def warn_population_size(
     if has_demcmc and chains < 3:
         raise ValueError(
             "DEMetropolis requires at least 3 chains. "
-            "For this {}-dimensional model you should use ≥{} chains".format(
-                initial_point_model_size, initial_point_model_size + 1
-            )
+            f"For this {initial_point_model_size}-dimensional model you should use ≥{initial_point_model_size + 1} chains"
         )
     if has_demcmc and chains <= initial_point_model_size:
         warnings.warn(

pymc/stats/__init__.py

@@ -18,6 +18,7 @@
 purpose library for "exploratory analysis of Bayesian models."
 See https://arviz-devs.github.io/arviz/ for details.
 """
+
 import sys
 
 import arviz as az

pymc/step_methods/hmc/quadpotential.py

@@ -101,12 +101,10 @@ class QuadPotential:
     dtype: np.dtype
 
     @overload
-    def velocity(self, x: np.ndarray, out: None) -> np.ndarray:
-        ...
+    def velocity(self, x: np.ndarray, out: None) -> np.ndarray: ...
 
     @overload
-    def velocity(self, x: np.ndarray, out: np.ndarray) -> None:
-        ...
+    def velocity(self, x: np.ndarray, out: np.ndarray) -> None: ...
 
     def velocity(self, x: np.ndarray, out: np.ndarray | None = None) -> np.ndarray | None:
         """Compute the current velocity at a position in parameter space."""

pymc/tuning/starting.py

@@ -17,6 +17,7 @@
 
 @author: johnsalvatier
 """
+
 import sys
 import warnings
 

pymc/variational/opvi.py

@@ -708,9 +708,8 @@ def group_for_params(cls, params):
     def group_for_short_name(cls, name):
         if name.lower() not in cls.__name_registry:
             raise KeyError(
-                "No such group: {!r}, " "only the following are supported\n\n{}".format(
-                    name, cls.__name_registry
-                )
+                f"No such group: {name!r}, "
+                f"only the following are supported\n\n{cls.__name_registry}"
             )
         return cls.__name_registry[name.lower()]
 
@@ -983,14 +982,12 @@ def symbolic_random(self):
     @overload
     def set_size_and_deterministic(
         self, node: Variable, s, d: bool, more_replacements: dict | None = None
-    ) -> Variable:
-        ...
+    ) -> Variable: ...
 
     @overload
     def set_size_and_deterministic(
         self, node: list[Variable], s, d: bool, more_replacements: dict | None = None
-    ) -> list[Variable]:
-        ...
+    ) -> list[Variable]: ...
 
     @pytensor.config.change_flags(compute_test_value="off")
     def set_size_and_deterministic(

pymc/variational/updates.py

@@ -108,6 +108,7 @@
 Taken from the Lasagne project: http://lasagne.readthedocs.io/en/latest/
 
 """
+
 from collections import OrderedDict
 from functools import partial
 

scripts/check_all_tests_are_covered.py

@@ -6,6 +6,7 @@
 This is intended to be used as a pre-commit hook, see `.pre-commit-config.yaml`.
 You can run it manually with `pre-commit run check-no-tests-are-ignored --all`.
 """
+
 import itertools
 import logging
 import os

scripts/generate_pip_deps_from_conda.py

@@ -36,6 +36,7 @@
 This is intended to be used as a pre-commit hook, see `.pre-commit-config.yaml`.
 You can run it manually with `pre-commit run pip-from-conda --all`.
 """
+
 import argparse
 import re
 

scripts/run_mypy.py

@@ -8,6 +8,7 @@
 -----
 python scripts/run_mypy.py [--verbose]
 """
+
 import argparse
 import importlib
 import os

setupegg.py

@@ -17,6 +17,5 @@
 A setup.py script to use setuptools, which gives egg goodness, etc.
 """
 
-
 with open("setup.py") as s:
     exec(s.read())