Pacify the angry linter

Author: chihuahua

tensorboard/plugins/pr_curve/BUILD

@@ -67,7 +67,6 @@ py_test(
     srcs = ["summary_test.py"],
     srcs_version = "PY2AND3",
     deps = [
-        ":protos_all_py_pb2",
         ":pr_curve_demo",
         "//tensorboard:expect_numpy_installed",
         "//tensorboard:expect_tensorflow_installed",

tensorboard/plugins/pr_curve/pr_curves_plugin.py

@@ -122,7 +122,7 @@ def tags_impl(self):
 
     mapping = self._multiplexer.PluginRunToTagToContent(metadata.PLUGIN_NAME)
     for (run, tag_to_content) in six.iteritems(mapping):
-      for (tag, content) in six.iteritems(tag_to_content):
+      for (tag, _) in six.iteritems(tag_to_content):
         summary_metadata = self._multiplexer.SummaryMetadata(run, tag)
         result[run][tag] = {'displayName': summary_metadata.display_name,
                             'description': plugin_util.markdown_to_safe_html(
@@ -170,13 +170,13 @@ def available_time_entries_impl(self):
 
   def _create_time_entry(self, tensor_event):
     """Creates a time entry given a tensor event.
-    
+
     Arguments:
       tensor_event: The tensor event for the time entry.
     """
     return {
-      'step': tensor_event.step,
-      'wall_time': tensor_event.wall_time,
+        'step': tensor_event.step,
+        'wall_time': tensor_event.wall_time,
     }
 
   def get_plugin_apps(self):

tensorboard/plugins/pr_curve/pr_curves_plugin_test.py

@@ -116,28 +116,28 @@ def testTagsProvided(self):
 
     # Verify the data for each run-tag combination.
     self.assertDictEqual({
-      'displayName': 'classifying red',
-      'description': self.computeCorrectDescription(168),
+        'displayName': 'classifying red',
+        'description': self.computeCorrectDescription(168),
     }, tags_response['colors']['red/pr_curves'])
     self.assertDictEqual({
-      'displayName': 'classifying green',
-      'description': self.computeCorrectDescription(210),
+        'displayName': 'classifying green',
+        'description': self.computeCorrectDescription(210),
     }, tags_response['colors']['green/pr_curves'])
     self.assertDictEqual({
-      'displayName': 'classifying blue',
-      'description': self.computeCorrectDescription(252),
+        'displayName': 'classifying blue',
+        'description': self.computeCorrectDescription(252),
     }, tags_response['colors']['blue/pr_curves'])
     self.assertDictEqual({
-      'displayName': 'classifying red',
-      'description': self.computeCorrectDescription(168),
+        'displayName': 'classifying red',
+        'description': self.computeCorrectDescription(168),
     }, tags_response['mask_every_other_prediction']['red/pr_curves'])
     self.assertDictEqual({
-      'displayName': 'classifying green',
-      'description': self.computeCorrectDescription(210),
+        'displayName': 'classifying green',
+        'description': self.computeCorrectDescription(210),
     }, tags_response['mask_every_other_prediction']['green/pr_curves'])
     self.assertDictEqual({
-      'displayName': 'classifying blue',
-      'description': self.computeCorrectDescription(252),
+        'displayName': 'classifying blue',
+        'description': self.computeCorrectDescription(252),
     }, tags_response['mask_every_other_prediction']['blue/pr_curves'])
 
   def testAvailableSteps(self):

tensorboard/plugins/pr_curve/summary_test.py

@@ -19,23 +19,18 @@
 from __future__ import division
 from __future__ import print_function
 
-import json
-import os
-
 import numpy as np
 import tensorflow as tf
 
 from tensorboard.backend.event_processing import plugin_event_multiplexer as event_multiplexer  # pylint: disable=line-too-long
 from tensorboard.plugins.pr_curve import metadata
-from tensorboard.plugins.pr_curve import plugin_data_pb2
 from tensorboard.plugins.pr_curve import pr_curve_demo
-from tensorboard.plugins.pr_curve import summary
 
 
 class PrCurveTest(tf.test.TestCase):
 
-  def setUp(self, *args, **kwargs):
-    super(PrCurveTest, self).setUp(*args, **kwargs)
+  def setUp(self):
+    super(PrCurvesPluginTest, self).setUp()
     self.logdir = self.get_temp_dir()
     tf.reset_default_graph()