Fix more lints.

apache · Mar 8, 2025 · e6a7bb1 · e6a7bb1
1 parent b63fc41
commit e6a7bb1
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Showing 5 changed files with 11 additions and 11 deletions.
diff --git a/sdks/python/apache_beam/ml/anomaly/aggregations.py b/sdks/python/apache_beam/ml/anomaly/aggregations.py
@@ -23,11 +23,11 @@
 from typing import Iterable
 from typing import Optional
 
-from apache_beam.ml.anomaly.base import AggregationFn
-from apache_beam.ml.anomaly.base import AnomalyPrediction
 from apache_beam.ml.anomaly.base import DEFAULT_MISSING_LABEL
 from apache_beam.ml.anomaly.base import DEFAULT_NORMAL_LABEL
 from apache_beam.ml.anomaly.base import DEFAULT_OUTLIER_LABEL
+from apache_beam.ml.anomaly.base import AggregationFn
+from apache_beam.ml.anomaly.base import AnomalyPrediction
 from apache_beam.ml.anomaly.specifiable import specifiable
 
 

diff --git a/sdks/python/apache_beam/ml/anomaly/detectors/iqr.py b/sdks/python/apache_beam/ml/anomaly/detectors/iqr.py
@@ -24,8 +24,8 @@
 from apache_beam.ml.anomaly.specifiable import specifiable
 from apache_beam.ml.anomaly.thresholds import FixedThreshold
 from apache_beam.ml.anomaly.univariate.base import EPSILON
-from apache_beam.ml.anomaly.univariate.quantile import QuantileTracker
 from apache_beam.ml.anomaly.univariate.quantile import BufferedSlidingQuantileTracker  # pylint: disable=line-too-long
+from apache_beam.ml.anomaly.univariate.quantile import QuantileTracker
 from apache_beam.ml.anomaly.univariate.quantile import SecondaryBufferedQuantileTracker  # pylint: disable=line-too-long
 
 DEFAULT_WINDOW_SIZE = 1000

diff --git a/sdks/python/apache_beam/ml/anomaly/transforms.py b/sdks/python/apache_beam/ml/anomaly/transforms.py
@@ -17,27 +17,27 @@
 
 import dataclasses
 import typing
+import uuid
 from typing import Any
 from typing import Callable
 from typing import Iterable
 from typing import Tuple
 from typing import TypeVar
 from typing import Union
-import uuid
 
 import apache_beam as beam
 from apache_beam.coders import DillCoder
 from apache_beam.ml.anomaly import aggregations
+from apache_beam.ml.anomaly.base import AggregationFn
 from apache_beam.ml.anomaly.base import AnomalyDetector
 from apache_beam.ml.anomaly.base import AnomalyPrediction
 from apache_beam.ml.anomaly.base import AnomalyResult
-from apache_beam.ml.anomaly.base import AggregationFn
 from apache_beam.ml.anomaly.base import EnsembleAnomalyDetector
 from apache_beam.ml.anomaly.base import ThresholdFn
 from apache_beam.ml.anomaly.specifiable import Spec
 from apache_beam.ml.anomaly.specifiable import Specifiable
-from apache_beam.transforms.userstate import ReadModifyWriteStateSpec
 from apache_beam.transforms.userstate import ReadModifyWriteRuntimeState
+from apache_beam.transforms.userstate import ReadModifyWriteStateSpec
 from apache_beam.utils import timestamp
 
 KeyT = TypeVar('KeyT')

diff --git a/sdks/python/apache_beam/ml/anomaly/transforms_test.py b/sdks/python/apache_beam/ml/anomaly/transforms_test.py
@@ -17,20 +17,20 @@
 
 import logging
 import math
-from typing import Iterable
 import unittest
+from typing import Iterable
 
 import apache_beam as beam
 from apache_beam.ml.anomaly.aggregations import AnyVote
-from apache_beam.ml.anomaly.base import AnomalyResult
 from apache_beam.ml.anomaly.base import AnomalyPrediction
+from apache_beam.ml.anomaly.base import AnomalyResult
 from apache_beam.ml.anomaly.base import EnsembleAnomalyDetector
 from apache_beam.ml.anomaly.detectors.zscore import ZScore
+from apache_beam.ml.anomaly.thresholds import FixedThreshold
+from apache_beam.ml.anomaly.thresholds import QuantileThreshold
 from apache_beam.ml.anomaly.transforms import AnomalyDetection
 from apache_beam.ml.anomaly.transforms import _StatefulThresholdDoFn
 from apache_beam.ml.anomaly.transforms import _StatelessThresholdDoFn
-from apache_beam.ml.anomaly.thresholds import FixedThreshold
-from apache_beam.ml.anomaly.thresholds import QuantileThreshold
 from apache_beam.testing.test_pipeline import TestPipeline
 from apache_beam.testing.util import assert_that
 from apache_beam.testing.util import equal_to

diff --git a/sdks/python/apache_beam/ml/anomaly/univariate/median.py b/sdks/python/apache_beam/ml/anomaly/univariate/median.py
@@ -21,8 +21,8 @@
 
 from apache_beam.ml.anomaly.specifiable import specifiable
 from apache_beam.ml.anomaly.univariate.base import BaseTracker
-from apache_beam.ml.anomaly.univariate.quantile import QuantileTracker
 from apache_beam.ml.anomaly.univariate.quantile import BufferedSlidingQuantileTracker  # pylint: disable=line-too-long
+from apache_beam.ml.anomaly.univariate.quantile import QuantileTracker
 
 DEFAULT_WINDOW_SIZE = 1000