Python 3.11 Updates (#981)

* updates to envs

* linting fixes

Author: mmccarty

ci/environment-docs.yaml

@@ -15,7 +15,7 @@ dependencies:
   - numba
   - numpy
   - psutil
-  - python=3.10
+  - python=3.11
   - sortedcontainers
   - scikit-learn >=1.2.0
   - scipy

ci/environment-latest.yaml

@@ -1 +1 @@
-environment-3.10.yaml
+ci/environment-3.11.yaml

dask_ml/compose/__init__.py

@@ -2,6 +2,7 @@
 
 These estimators are useful for working with heterogenous tabular data.
 """
+
 from ._column_transformer import ColumnTransformer, make_column_transformer
 
 __all__ = ["ColumnTransformer", "make_column_transformer"]

dask_ml/decomposition/extmath.py

@@ -1,6 +1,7 @@
 """
 Extended math utilities.
 """
+
 # Authors: Gael Varoquaux
 #          Alexandre Gramfort
 #          Alexandre T. Passos

dask_ml/feature_extraction/__init__.py

@@ -1,6 +1,7 @@
 """
 Utilities for extracting features from data.
 """
+
 from . import text
 
 __all__ = ["text"]

dask_ml/feature_extraction/text.py

@@ -1,6 +1,7 @@
 """
 Utilities to build feature vectors from text documents.
 """
+
 import itertools
 
 import dask

dask_ml/linear_model/__init__.py

@@ -1,6 +1,7 @@
 """The ``dask_ml.linear_model`` module implements linear models for
 classification and regression.
 """
+
 from .glm import LinearRegression, LogisticRegression, PoissonRegression
 
 __all__ = [

dask_ml/linear_model/utils.py

@@ -1,5 +1,6 @@
 """
 """
+
 import dask.array as da
 import dask.dataframe as dd
 import numpy as np

dask_ml/metrics/pairwise.py

@@ -1,6 +1,7 @@
 """
 Daskified versions of sklearn.metrics.pairwise
 """
+
 import warnings
 from typing import Any, Callable, Dict, Optional, Tuple, Union
 
@@ -188,7 +189,7 @@ def sigmoid_kernel(
     "rbf": rbf_kernel,
     "linear": linear_kernel,
     "polynomial": polynomial_kernel,
-    "sigmoid": sigmoid_kernel
+    "sigmoid": sigmoid_kernel,
     # TODO:
     # - cosine_similarity
     # - laplacian

dask_ml/model_selection/__init__.py

@@ -3,6 +3,7 @@
 These estimators will operate in parallel. Their scalability depends
 on the underlying estimators being used.
 """
+
 from ._hyperband import HyperbandSearchCV
 from ._incremental import IncrementalSearchCV, InverseDecaySearchCV
 from ._search import GridSearchCV, RandomizedSearchCV, check_cv, compute_n_splits