lint fix

featuretools/entityset/entityset.py

@@ -1,6 +1,5 @@
 import copy
 import logging
-from pdb import set_trace
 import warnings
 from collections import defaultdict
 
@@ -1275,9 +1274,13 @@ def add_last_time_indexes(self, updated_dataframes=None):
                         if lti_is_spark:
                             # TODO: Figure out a workaround for fillna and replace
                             if lti_df["last_time_old"].dtype == "float64":
-                               lti_df["last_time_old"] = ps.to_datetime(lti_df["last_time_old"]) 
+                                lti_df["last_time_old"] = ps.to_datetime(
+                                    lti_df["last_time_old"],
+                                )
                             if lti_df["last_time"].dtype == "float64":
-                               lti_df["last_time"] = ps.to_datetime(lti_df["last_time"]) 
+                                lti_df["last_time"] = ps.to_datetime(
+                                    lti_df["last_time"],
+                                )
                             lti_df = lti_df.max(axis=1)
                         else:
                             lti_df["last_time"] = lti_df["last_time"].astype(

featuretools/tests/entityset_tests/test_ww_es.py

@@ -1,5 +1,4 @@
 from datetime import datetime
-from pdb import set_trace
 
 import numpy as np
 import pandas as pd

featuretools/tests/primitive_tests/test_transform_features.py

@@ -1,9 +1,7 @@
 from inspect import isclass
-from pdb import set_trace
 
 import numpy as np
 import pandas as pd
-import pyarrow as pa
 import pytest
 from woodwork.column_schema import ColumnSchema
 from woodwork.logical_types import (
@@ -353,6 +351,7 @@ def test_not_equal_categorical(simple_es):
         False,
     ]
 
+
 def test_not_equal_different_dtypes(simple_es):
     f1 = Feature(
         [

featuretools/tests/testing_utils/generate_fake_dataframe.py

@@ -1,8 +1,8 @@
 import random
-import pytest
 from datetime import datetime as dt
 
 import pandas as pd
+import pytest
 import woodwork.type_sys.type_system as ww_type_system
 from woodwork import logical_types
 
@@ -43,6 +43,7 @@ def generate_fake_dataframe(
 ):
     dask = pytest.importorskip("dask", reason="Dask not installed, skipping")
     dask.config.set({"dataframe.convert-string": False})
+
     def randomize(values_):
         random.seed(10)
         values = values_.copy()

featuretools/tests/testing_utils/mock_ds.py

@@ -1,8 +1,8 @@
-import pytest
 from datetime import datetime
 
 import numpy as np
 import pandas as pd
+import pytest
 from woodwork.logical_types import (
     URL,
     Boolean,