remove noqa (#5127)

Signed-off-by: harupy <hkawamura0130@gmail.com>

mlflow/__init__.py

@@ -37,34 +37,34 @@
 # See: https://github.com/numpy/numpy/pull/432/commits/170ed4e33d6196d7
 import warnings
 
-warnings.filterwarnings("ignore", message="numpy.dtype size changed")  # noqa: E402
-warnings.filterwarnings("ignore", message="numpy.ufunc size changed")  # noqa: E402
+warnings.filterwarnings("ignore", message="numpy.dtype size changed")
+warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
 
-import mlflow.projects as projects  # noqa: E402
-import mlflow.tracking as tracking  # noqa: E402
+import mlflow.projects as projects
+import mlflow.tracking as tracking
 
 # model flavors
 _model_flavors_supported = []
 try:
     # pylint: disable=unused-import
-    import mlflow.catboost as catboost  # noqa: E402
-    import mlflow.fastai as fastai  # noqa: E402
-    import mlflow.gluon as gluon  # noqa: E402
-    import mlflow.h2o as h2o  # noqa: E402
-    import mlflow.keras as keras  # noqa: E402
-    import mlflow.lightgbm as lightgbm  # noqa: E402
-    import mlflow.mleap as mleap  # noqa: E402
-    import mlflow.onnx as onnx  # noqa: E402
-    import mlflow.pyfunc as pyfunc  # noqa: E402
-    import mlflow.pytorch as pytorch  # noqa: E402
-    import mlflow.sklearn as sklearn  # noqa: E402
-    import mlflow.spacy as spacy  # noqa: E402
-    import mlflow.spark as spark  # noqa: E402
-    import mlflow.statsmodels as statsmodels  # noqa: E402
-    import mlflow.tensorflow as tensorflow  # noqa: E402
-    import mlflow.xgboost as xgboost  # noqa: E402
-    import mlflow.shap as shap  # noqa: E402
-    import mlflow.pyspark as pyspark  # noqa: E402
+    import mlflow.catboost as catboost
+    import mlflow.fastai as fastai
+    import mlflow.gluon as gluon
+    import mlflow.h2o as h2o
+    import mlflow.keras as keras
+    import mlflow.lightgbm as lightgbm
+    import mlflow.mleap as mleap
+    import mlflow.onnx as onnx
+    import mlflow.pyfunc as pyfunc
+    import mlflow.pytorch as pytorch
+    import mlflow.sklearn as sklearn
+    import mlflow.spacy as spacy
+    import mlflow.spark as spark
+    import mlflow.statsmodels as statsmodels
+    import mlflow.tensorflow as tensorflow
+    import mlflow.xgboost as xgboost
+    import mlflow.shap as shap
+    import mlflow.pyspark as pyspark
     import mlflow.paddle as paddle
     import mlflow.prophet as prophet
 

mlflow/sagemaker/__init__.py

@@ -1575,8 +1575,8 @@ def status_check_fn():
             failure_reason = endpoint_info.get(
                 "FailureReason",
                 (
-                    "An unknown SageMaker failure occurred. \
-                    Please see the SageMaker console logs for"  # noqa
+                    "An unknown SageMaker failure occurred."
+                    " Please see the SageMaker console logs for"
                     " more information."
                 ),
             )

mlflow/utils/autologging_utils/__init__.py

@@ -16,15 +16,15 @@
 _logger = logging.getLogger(__name__)
 
 # Import autologging utilities used by this module
-from mlflow.utils.autologging_utils.logging_and_warnings import (  # noqa: E402
+from mlflow.utils.autologging_utils.logging_and_warnings import (
     set_mlflow_events_and_warnings_behavior_globally,
     set_non_mlflow_warnings_behavior_for_current_thread,
 )
-from mlflow.utils.autologging_utils.safety import (  # noqa: E402
+from mlflow.utils.autologging_utils.safety import (
     update_wrapper_extended,
     revert_patches,
 )
-from mlflow.utils.autologging_utils.versioning import (  # noqa: E402
+from mlflow.utils.autologging_utils.versioning import (
     FLAVOR_TO_MODULE_NAME_AND_VERSION_INFO_KEY,
     get_min_max_version_and_pip_release,
     is_flavor_supported_for_associated_package_versions,
@@ -33,9 +33,9 @@
 # Wildcard import other autologging utilities (e.g. safety utilities, event logging utilities) used
 # in autologging integration implementations, which reference them via the
 # `mlflow.utils.autologging_utils` module
-from mlflow.utils.autologging_utils.safety import *  # noqa: E402
-from mlflow.utils.autologging_utils.events import *  # noqa: E402
-from mlflow.utils.autologging_utils.client import *  # noqa: E402
+from mlflow.utils.autologging_utils.safety import *
+from mlflow.utils.autologging_utils.events import *
+from mlflow.utils.autologging_utils.client import *
 
 
 INPUT_EXAMPLE_SAMPLE_ROWS = 5

mlflow/utils/file_utils.py

@@ -96,7 +96,7 @@ def find(root, name, full_path=False):
     return list_all(root, lambda x: x == path_name, full_path)
 
 
-def mkdir(root, name=None):  # noqa
+def mkdir(root, name=None):
     """
     Make directory with name "root/name", or just "root" if name is None.
 

tests/entities/test_run_data.py

@@ -42,8 +42,8 @@ def _create():
                 step=random_int(),
             )
         ]
-        params = [Param(random_str(10), random_str(random_int(10, 35))) for _ in range(10)]  # noqa
-        tags = [RunTag(random_str(10), random_str(random_int(10, 35))) for _ in range(10)]  # noqa
+        params = [Param(random_str(10), random_str(random_int(10, 35))) for _ in range(10)]
+        tags = [RunTag(random_str(10), random_str(random_int(10, 35))) for _ in range(10)]
         rd = RunData(metrics=metrics, params=params, tags=tags)
         return rd, metrics, params, tags