diff --git a/examples/movement-pruning/bertarize.py b/examples/movement-pruning/bertarize.py
index 7b6b5b83..d1e2462a 100644
--- a/examples/movement-pruning/bertarize.py
+++ b/examples/movement-pruning/bertarize.py
@@ -100,7 +100,7 @@ if __name__ == "__main__":
 
     parser.add_argument(
         "--pruning_method",
-        choices=["l0", "magnitude", "topK", "sigmoied_threshold",],
+        choices=["l0", "magnitude", "topK", "sigmoied_threshold"],
         type=str,
         required=True,
         help="Pruning Method (l0 = L0 regularization, magnitude = Magnitude pruning, topK = Movement pruning, sigmoied_threshold = Soft movement pruning)",
diff --git a/examples/movement-pruning/counts_parameters.py b/examples/movement-pruning/counts_parameters.py
index 183c125c..8553f6f8 100644
--- a/examples/movement-pruning/counts_parameters.py
+++ b/examples/movement-pruning/counts_parameters.py
@@ -67,7 +67,7 @@ if __name__ == "__main__":
 
     parser.add_argument(
         "--pruning_method",
-        choices=["l0", "topK", "sigmoied_threshold",],
+        choices=["l0", "topK", "sigmoied_threshold"],
         type=str,
         required=True,
         help="Pruning Method (l0 = L0 regularization, topK = Movement pruning, sigmoied_threshold = Soft movement pruning)",
diff --git a/examples/movement-pruning/emmental/__init__.py b/examples/movement-pruning/emmental/__init__.py
index 6646667e..09c90016 100644
--- a/examples/movement-pruning/emmental/__init__.py
+++ b/examples/movement-pruning/emmental/__init__.py
@@ -1,3 +1,4 @@
+# flake8: noqa
 from .configuration_bert_masked import MaskedBertConfig
 from .modeling_bert_masked import (
     MaskedBertForMultipleChoice,
diff --git a/examples/movement-pruning/emmental/modules/__init__.py b/examples/movement-pruning/emmental/modules/__init__.py
index 761a6343..c1bfd139 100644
--- a/examples/movement-pruning/emmental/modules/__init__.py
+++ b/examples/movement-pruning/emmental/modules/__init__.py
@@ -1,2 +1,3 @@
+# flake8: noqa
 from .binarizer import MagnitudeBinarizer, ThresholdBinarizer, TopKBinarizer
 from .masked_nn import MaskedLinear