formatting

Author: priyakasimbeg

scoring/score_submissions.py

@@ -47,13 +47,15 @@
     False,
     'Whether to score on self-tuning ruleset or externally tuned ruleset')
 flags.DEFINE_string(
-  'save_results_to_filename',
-   None,
-  'Filename to save the processed results that are fed into the performance profile functions.')
+    'save_results_to_filename',
+    None,
+    'Filename to save the processed results that are fed into the performance profile functions.'
+)
 flags.DEFINE_boolean(
-  'load_results_from_filename',
-  None,
-  'Filename to load processed results from that are fed into performance profile functions')
+    'load_results_from_filename',
+    None,
+    'Filename to load processed results from that are fed into performance profile functions'
+)
 FLAGS = flags.FLAGS
 
 
@@ -131,25 +133,33 @@ def main(_):
   results = {}
   os.makedirs(FLAGS.output_dir, exist_ok=True)
 
-    # Optionally read results to filename 
+  # Optionally read results to filename
   if FLAGS.load_results_from_filename:
-    with open(os.path.join(FLAGS.output_dir, FLAGS.load_results_from_filename), 'rb') as f:
+    with open(
+        os.path.join(FLAGS.output_dir, FLAGS.load_results_from_filename),
+        'rb') as f:
       results = pickle.load(f)
   else:
     for team in os.listdir(FLAGS.submission_directory):
-      for submission in os.listdir(os.path.join(FLAGS.submission_directory, team)):
-          print(submission)
-          experiment_path = os.path.join(FLAGS.submission_directory, team, submission)
-          df = scoring_utils.get_experiment_df(experiment_path)
-          results[submission] = df
-          summary_df = get_submission_summary(df)
-          with open(os.path.join(FLAGS.output_dir, f'{submission}_summary.csv'),
-                  'w') as fout:
-              summary_df.to_csv(fout)
+      for submission in os.listdir(
+          os.path.join(FLAGS.submission_directory, team)):
+        print(submission)
+        experiment_path = os.path.join(FLAGS.submission_directory,
+                                       team,
+                                       submission)
+        df = scoring_utils.get_experiment_df(experiment_path)
+        results[submission] = df
+        summary_df = get_submission_summary(df)
+        with open(
+            os.path.join(FLAGS.output_dir, f'{submission}_summary.csv'),
+            'w') as fout:
+          summary_df.to_csv(fout)
 
     # Optionally save results to filename
     if FLAGS.save_results_to_filename:
-      with open(os.path.join(FLAGS.output_dir, FLAGS.save_results_to_filename), 'wb') as f:
+      with open(
+          os.path.join(FLAGS.output_dir, FLAGS.save_results_to_filename),
+          'wb') as f:
         pickle.dump(results, f)
 
   if not FLAGS.strict: