style: run ruff check & format

Author: lars-reimann

benchmarks/table/row_operations.py

@@ -1,9 +1,9 @@
 from timeit import timeit
 
 import polars as pl
+from safeds.data.tabular.containers import Table
 
 from benchmarks.table.utils import create_synthetic_table
-from safeds.data.tabular.containers import Table
 
 REPETITIONS = 10
 

tests/safeds/data/image/containers/test_image.py

@@ -5,14 +5,14 @@
 
 import pytest
 import torch
-from syrupy import SnapshotAssertion
-from torch.types import Device
-
 from safeds._config import _get_device
 from safeds.data.image.containers import Image
 from safeds.data.image.typing import ImageSize
 from safeds.data.tabular.containers import Table
 from safeds.exceptions import IllegalFormatError, OutOfBoundsError
+from syrupy import SnapshotAssertion
+from torch.types import Device
+
 from tests.helpers import (
     configure_test_with_device,
     device_cpu,

tests/safeds/data/image/containers/test_image_list.py

@@ -6,16 +6,16 @@
 
 import pytest
 import torch
-from syrupy import SnapshotAssertion
-from torch import Tensor
-from torch.types import Device
-
 from safeds.data.image.containers import Image, ImageList
 from safeds.data.image.containers._empty_image_list import _EmptyImageList
 from safeds.data.image.containers._multi_size_image_list import _MultiSizeImageList
 from safeds.data.image.containers._single_size_image_list import _SingleSizeImageList
 from safeds.data.tabular.containers import Table
 from safeds.exceptions import DuplicateIndexError, IllegalFormatError, IndexOutOfBoundsError, OutOfBoundsError
+from syrupy import SnapshotAssertion
+from torch import Tensor
+from torch.types import Device
+
 from tests.helpers import (
     configure_test_with_device,
     device_cpu,

tests/safeds/data/labeled/containers/test_image_dataset.py

@@ -384,7 +384,6 @@ def test_get_batch_device(self, device: Device) -> None:
 @pytest.mark.parametrize("device", get_devices(), ids=get_devices_ids())
 @pytest.mark.parametrize("shuffle", [True, False])
 class TestSplit:
-
     @pytest.mark.parametrize(
         "output",
         [

tests/safeds/data/tabular/containers/_cell/test_hash.py

@@ -2,7 +2,6 @@
 
 import polars as pl
 import pytest
-
 from safeds.data.tabular.containers import Cell
 from safeds.data.tabular.containers._lazy_cell import _LazyCell
 

tests/safeds/data/tabular/containers/_row/test_column_count.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 

tests/safeds/data/tabular/containers/_row/test_column_names.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 

tests/safeds/data/tabular/containers/_row/test_contains.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 

tests/safeds/data/tabular/containers/_row/test_eq.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 

tests/safeds/data/tabular/containers/_row/test_get_cell.py

@@ -1,10 +1,10 @@
 import re
 
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 from safeds.exceptions import ColumnNotFoundError
+
 from tests.helpers import assert_row_operation_works
 
 

tests/safeds/data/tabular/containers/_row/test_get_column_type.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 from safeds.data.tabular.typing import DataType

tests/safeds/data/tabular/containers/_row/test_getitem.py

@@ -1,10 +1,10 @@
 import re
 
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 from safeds.exceptions import ColumnNotFoundError
+
 from tests.helpers import assert_row_operation_works
 
 

tests/safeds/data/tabular/containers/_row/test_has_column.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 

tests/safeds/data/tabular/containers/_row/test_hash.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 

tests/safeds/data/tabular/containers/_row/test_iter.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 

tests/safeds/data/tabular/containers/_row/test_len.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 

tests/safeds/data/tabular/containers/_row/test_schema.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 

tests/safeds/data/tabular/containers/_row/test_sizeof.py

@@ -1,7 +1,6 @@
 import sys
 
 import polars as pl
-
 from safeds.data.tabular.containers._lazy_vectorized_row import _LazyVectorizedRow
 
 

tests/safeds/data/tabular/containers/_string_cell/test_hash.py

@@ -1,6 +1,5 @@
 import polars as pl
 import pytest
-
 from safeds.data.tabular.containers import StringCell
 from safeds.data.tabular.containers._lazy_string_cell import _LazyStringCell
 

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

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 
 

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

@@ -1,7 +1,6 @@
 from typing import Literal
 
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.exceptions import ColumnNotFoundError
 

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

@@ -1,7 +1,6 @@
 from typing import Any
 
 import pytest
-
 from safeds.data.tabular.containers import Table
 
 

tests/safeds/data/tabular/containers/_temporal_cell/test_hash.py

@@ -1,6 +1,5 @@
 import polars as pl
 import pytest
-
 from safeds.data.tabular.containers import TemporalCell
 from safeds.data.tabular.containers._lazy_temporal_cell import _LazyTemporalCell
 

tests/safeds/data/tabular/plotting/test_plot_comparison.py

@@ -1,7 +1,6 @@
 import pytest
-from syrupy import SnapshotAssertion
-
 from safeds.data.tabular.containers import Table
+from syrupy import SnapshotAssertion
 
 
 @pytest.mark.parametrize(

tests/safeds/data/tabular/transformation/test_k_nearest_neighbors_imputer.py

@@ -1,5 +1,4 @@
 import pytest
-
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.transformation import KNearestNeighborsImputer
 from safeds.exceptions import (

tests/safeds/data/tabular/transformation/test_sequential_table_transformer.py

@@ -15,7 +15,6 @@
 
 
 class TestInit:
-
     def test_should_warn_on_empty_list(self) -> None:
         with pytest.warns(UserWarning, match=("transformers should contain at least 1 transformer")):
             SequentialTableTransformer(transformers=[])  # type: ignore[attr-defined]
@@ -137,7 +136,6 @@ def test_should_return_true_after_fitting(self) -> None:
 
 
 class TestInverseTransform:
-
     @pytest.mark.parametrize(
         "transformers",
         [

tests/safeds/ml/classical/classification/test_classifier.py

@@ -102,7 +102,6 @@ def valid_data() -> TabularDataset:
 
 @pytest.mark.parametrize("classifier_with_choice", classifiers_with_choices(), ids=lambda x: x.__class__.__name__)
 class TestChoiceClassifiers:
-
     def test_should_raise_if_model_is_fitted_with_choice(
         self,
         classifier_with_choice: Classifier,
@@ -131,7 +130,6 @@ def test_workflow_with_choice_parameter(
 
 
 class TestFitByExhaustiveSearch:
-
     @pytest.mark.parametrize("classifier", classifiers(), ids=lambda x: x.__class__.__name__)
     def test_should_raise_if_model_is_fitted_by_exhaustive_search_without_choice(
         self,

tests/safeds/ml/classical/regression/test_regressor.py

@@ -110,7 +110,6 @@ def valid_data() -> TabularDataset:
 
 @pytest.mark.parametrize("regressor_with_choice", regressors_with_choices(), ids=lambda x: x.__class__.__name__)
 class TestChoiceRegressors:
-
     def test_workflow_with_choice_parameter(self, regressor_with_choice: Regressor, valid_data: TabularDataset) -> None:
         model = regressor_with_choice.fit_by_exhaustive_search(valid_data, RegressorMetric.MEAN_SQUARED_ERROR)
         assert isinstance(model, type(regressor_with_choice))

tests/safeds/ml/nn/test_cnn_workflow.py

@@ -3,8 +3,6 @@
 
 import pytest
 import torch
-from torch.types import Device
-
 from safeds._config import _get_device
 from safeds.data.image.containers import ImageList
 from safeds.data.image.containers._single_size_image_list import _SingleSizeImageList
@@ -29,6 +27,8 @@
     MaxPooling2DLayer,
 )
 from safeds.ml.nn.typing import VariableImageSize
+from torch.types import Device
+
 from tests.helpers import configure_test_with_device, device_cpu, device_cuda, images_all, resolve_resource_path
 
 if TYPE_CHECKING:

tests/safeds/ml/nn/test_dropout_workflow.py

@@ -1,6 +1,4 @@
 import pytest
-from torch.types import Device
-
 from safeds._config import _get_device
 from safeds.data.tabular.containers import Table
 from safeds.ml.nn import (
@@ -13,6 +11,8 @@
     DropoutLayer,
     ForwardLayer,
 )
+from torch.types import Device
+
 from tests.helpers import configure_test_with_device, get_devices, get_devices_ids
 
 

tests/safeds/ml/nn/test_forward_workflow.py

@@ -1,6 +1,4 @@
 import pytest
-from torch.types import Device
-
 from safeds._config import _get_device
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.transformation import StandardScaler
@@ -13,6 +11,8 @@
 from safeds.ml.nn.layers import (
     ForwardLayer,
 )
+from torch.types import Device
+
 from tests.helpers import configure_test_with_device, get_devices, get_devices_ids, resolve_resource_path
 
 

tests/safeds/ml/nn/test_lstm_workflow.py

@@ -1,6 +1,4 @@
 import pytest
-from torch.types import Device
-
 from safeds._config import _get_device
 from safeds.data.tabular.containers import Table
 from safeds.data.tabular.transformation import RangeScaler
@@ -15,6 +13,8 @@
     GRULayer,
     LSTMLayer,
 )
+from torch.types import Device
+
 from tests.helpers import configure_test_with_device, get_devices, get_devices_ids, resolve_resource_path
 
 

tests/safeds/ml/nn/test_model.py

@@ -2,8 +2,6 @@
 import re
 
 import pytest
-from torch.types import Device
-
 from safeds.data.image.typing import ImageSize
 from safeds.data.labeled.containers import TabularDataset
 from safeds.data.tabular.containers import Table
@@ -39,6 +37,8 @@
     MaxPooling2DLayer,
 )
 from safeds.ml.nn.typing import VariableImageSize
+from torch.types import Device
+
 from tests.helpers import configure_test_with_device, get_devices, get_devices_ids