PEP8

Author: glemaitre

imblearn/utils/_docstring.py

@@ -47,4 +47,4 @@ def __call__(self, obj):
         Whether or not `X` and `y` should be validated. This parameter applies
         only when `X` and `y` are Dask collections where validation might be
         potentially costly.
-    """.rstrip()
+    """.rstrip()

imblearn/utils/_validation.py

@@ -20,7 +20,6 @@
 from .wrapper import _is_multiclass_encoded
 from .wrapper import column_or_1d
 from .wrapper import type_of_target
-from .wrapper import unique
 
 SAMPLING_KIND = (
     "over-sampling",

imblearn/utils/estimator_checks.py

@@ -296,7 +296,7 @@ def check_samplers_pandas(name, sampler):
 
 
 def check_samplers_dask_array(name, sampler):
-    dask = pytest.importorskip("dask")
+    pytest.importorskip("dask")
     from dask import array
     # Check that the samplers handle dask array
     X, y = make_classification(
@@ -321,7 +321,7 @@ def check_samplers_dask_array(name, sampler):
 
 
 def check_samplers_dask_dataframe(name, sampler):
-    dask = pytest.importorskip("dask")
+    pytest.importorskip("dask")
     from dask import dataframe
     # Check that the samplers handle dask dataframe and dask series
     X, y = make_classification(