style: apply automated linter fixes

Author: megalinter-bot

src/safeds/data/tabular/containers/_column.py

@@ -12,13 +12,13 @@
 
 from safeds.data.image.containers import Image
 from safeds.data.image.typing import ImageFormat
+from safeds.data.tabular.typing import ColumnType
 from safeds.exceptions import (
     ColumnLengthMismatchError,
     ColumnSizeError,
     IndexOutOfBoundsError,
     NonNumericColumnError,
 )
-from safeds.data.tabular.typing import ColumnType
 
 if TYPE_CHECKING:
     from collections.abc import Callable, Iterator

src/safeds/data/tabular/containers/_row.py

@@ -5,8 +5,8 @@
 
 import pandas as pd
 
-from safeds.exceptions import UnknownColumnNameError
 from safeds.data.tabular.typing import ColumnType, Schema
+from safeds.exceptions import UnknownColumnNameError
 
 if TYPE_CHECKING:
     from collections.abc import Iterator

src/safeds/data/tabular/containers/_table.py

@@ -15,6 +15,7 @@
 
 from safeds.data.image.containers import Image
 from safeds.data.image.typing import ImageFormat
+from safeds.data.tabular.typing import ColumnType, Schema
 from safeds.exceptions import (
     ColumnLengthMismatchError,
     ColumnSizeError,
@@ -24,7 +25,6 @@
     SchemaMismatchError,
     UnknownColumnNameError,
 )
-from safeds.data.tabular.typing import ColumnType, Schema
 
 from ._column import Column
 from ._row import Row

src/safeds/data/tabular/transformation/_imputer.py

@@ -6,9 +6,9 @@
 from sklearn.impute import SimpleImputer as sk_SimpleImputer
 
 from safeds.data.tabular.containers import Table
-from safeds.exceptions import TransformerNotFittedError, UnknownColumnNameError
 from safeds.data.tabular.transformation._table_transformer import TableTransformer
 from safeds.data.tabular.typing import ImputerStrategy
+from safeds.exceptions import TransformerNotFittedError, UnknownColumnNameError
 
 
 class Imputer(TableTransformer):

src/safeds/data/tabular/transformation/_label_encoder.py

@@ -3,10 +3,10 @@
 from sklearn.preprocessing import OrdinalEncoder as sk_OrdinalEncoder
 
 from safeds.data.tabular.containers import Table
-from safeds.exceptions import TransformerNotFittedError, UnknownColumnNameError
 from safeds.data.tabular.transformation._table_transformer import (
     InvertibleTableTransformer,
 )
+from safeds.exceptions import TransformerNotFittedError, UnknownColumnNameError
 
 
 # noinspection PyProtectedMember

src/safeds/data/tabular/transformation/_one_hot_encoder.py

@@ -4,10 +4,10 @@
 from sklearn.preprocessing import OneHotEncoder as sk_OneHotEncoder
 
 from safeds.data.tabular.containers import Table
-from safeds.exceptions import TransformerNotFittedError, UnknownColumnNameError
 from safeds.data.tabular.transformation._table_transformer import (
     InvertibleTableTransformer,
 )
+from safeds.exceptions import TransformerNotFittedError, UnknownColumnNameError
 
 
 class OneHotEncoder(InvertibleTableTransformer):

src/safeds/data/tabular/typing/_schema.py

@@ -3,8 +3,8 @@
 from dataclasses import dataclass
 from typing import TYPE_CHECKING
 
-from safeds.exceptions import UnknownColumnNameError
 from safeds.data.tabular.typing._column_type import ColumnType
+from safeds.exceptions import UnknownColumnNameError
 
 if TYPE_CHECKING:
     import pandas as pd

src/safeds/exceptions/__init__.py

@@ -29,7 +29,6 @@
     "SchemaMismatchError",
     "TransformerNotFittedError",
     "UnknownColumnNameError",
-
     # ML exceptions
     "DatasetContainsTargetError",
     "DatasetMissesFeaturesError",

src/safeds/ml/classical/regression/_regressor.py

@@ -7,8 +7,7 @@
 from sklearn.metrics import mean_squared_error as sk_mean_squared_error
 
 from safeds.data.tabular.containers import Column, Table, TaggedTable
-from safeds.exceptions import ColumnLengthMismatchError
-from safeds.exceptions import UntaggedTableError
+from safeds.exceptions import ColumnLengthMismatchError, UntaggedTableError
 
 if TYPE_CHECKING:
     from sklearn.base import RegressorMixin

tests/safeds/data/tabular/containers/_table/test_init.py

@@ -1,7 +1,7 @@
 import pytest
 from safeds.data.tabular.containers import Table
-from safeds.exceptions import ColumnLengthMismatchError
 from safeds.data.tabular.typing import Integer, Schema
+from safeds.exceptions import ColumnLengthMismatchError
 
 
 @pytest.mark.parametrize(