[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -24,7 +24,7 @@ repos:
     - id: end-of-file-fixer
     - id: trailing-whitespace
   - repo: https://github.com/tox-dev/pyproject-fmt
-    rev: v2.16.2
+    rev: v2.21.0
     hooks:
     - id: pyproject-fmt
   - repo: https://github.com/abravalheri/validate-pyproject
@@ -44,7 +44,7 @@ repos:
       entry: isort --profile=black
       name: isort (python)
   - repo: https://github.com/psf/black-pre-commit-mirror
-    rev: 26.1.0
+    rev: 26.3.1
     hooks:
     - id: black
   - repo: https://github.com/tonybaloney/perflint
@@ -60,7 +60,7 @@ repos:
       additional_dependencies:
       - black
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.4.1
+    rev: v2.4.2
     hooks:
     - id: codespell
       args: [--toml pyproject.toml]

docs/data-processing/apis/fastapi/example.rst

@@ -16,7 +16,6 @@ Create a file :file:`main.py` with:
 
     from fastapi import FastAPI
 
-
     app = FastAPI()
 
 
@@ -77,7 +76,6 @@ Now we modify the file ``main.py`` to receive a body from a ``PUT`` request:
 
     from fastapi import FastAPI
 
-
     app = FastAPI()
 
 

docs/data-processing/postgresql/db-api.rst

@@ -82,12 +82,10 @@ Cursor
     .. code-block:: python
 
         cursor = conn.cursor()
-        cursor.execute(
-            """
+        cursor.execute("""
             SELECT column1, column2
             FROM tableA
-        """
-        )
+        """)
         for column1, column2 in cursor.fetchall():
             print(column1, column2)
 

docs/data-processing/postgresql/sqlalchemy.rst

@@ -44,7 +44,6 @@ Database connection
 
     from sqlalchemy import create_engine
 
-
     engine = create_engine("postgresql:///example", echo=True)
 
 Data model
@@ -56,7 +55,6 @@ Data model
     from sqlalchemy.ext.declarative import declarative_base
     from sqlalchemy.orm import relationship
 
-
     Base = declarative_base()
 
 

docs/data-processing/serialisation-formats/toml/index.rst

@@ -39,7 +39,6 @@ Overview
 
     import toml
 
-
     config = toml.load("pyproject.toml")
 
 .. seealso::

docs/data-processing/serialisation-formats/toml/pyproject.toml

@@ -1,7 +1,6 @@
 # SPDX-FileCopyrightText: 2022 Veit Schiele
 #
 # SPDX-License-Identifier: BSD-3-Clause
-
 [tool.black]
 line-length = 79
 
@@ -14,6 +13,5 @@ lines_between_types = 1
 multi_line_output = 3
 not_skip = "__init__.py"
 use_parentheses = true
-
 known_first_party = [ "MY_FIRST_MODULE", "MY_SECOND_MODULE" ]
 known_third_party = [ "mpi4py", "numpy", "requests" ]

docs/performance/index.rst

@@ -52,7 +52,6 @@ We can create sample data with:
 
     from sklearn.datasets import make_blobs
 
-
     points, labels_true = make_blobs(
         n_samples=1000, centers=3, random_state=0, cluster_std=0.60
     )
@@ -133,7 +132,6 @@ algorithm:
 
      from sklearn.cluster import KMeans
 
-
      KMeans(10).fit_predict(points)
 
 * `dask_ml.cluster.KMeans
@@ -143,7 +141,6 @@ algorithm:
 
      from dask_ml.cluster import KMeans
 
-
      KMeans(10).fit(points).predict(points)
 
 The best that could be said against these existing solutions is that they could

pyproject.toml

@@ -20,7 +20,7 @@ classifiers = [
 ]
 dependencies = []
 urls."Bug Tracker" = "https://github.com/cusyio/Python4DataScience/issues"
-urls."Homepage" = "https://github.com/cusyio/Python4DataScience/"
+urls.Homepage = "https://github.com/cusyio/Python4DataScience/"
 
 [dependency-groups]
 dev = [