Reformat python files checked by pylint (part 1/2).

After recently changing .pylintrc (see [1]) we discovered that
the presubmit check always checks all the python files when just
one python file gets updated.

This CL moves all these files one step closer to what the linter
wants.

Autogenerated with:

# Added all the files under pylint control to ~/Desktop/to-reformat
cat ~/Desktop/to-reformat | xargs sed -i '1i\\'
git cl format --python --full

This is part 1 out of 2. The second part will fix function names and
will not be automated.

[1] - https://webrtc-review.googlesource.com/c/src/+/186664

No-Presubmit: True
Bug: webrtc:12114
Change-Id: Idfec4d759f209a2090440d0af2413a1ddc01b841
Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/190980
Commit-Queue: Mirko Bonadei <mbonadei@webrtc.org>
Reviewed-by: Karl Wiberg <kwiberg@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#32530}

modules/audio_coding/audio_network_adaptor/parse_ana_dump.py

@@ -24,124 +24,126 @@ import debug_dump_pb2
 
 
 def GetNextMessageSize(file_to_parse):
-  data = file_to_parse.read(4)
-  if data == '':
-    return 0
-  return struct.unpack('<I', data)[0]
+    data = file_to_parse.read(4)
+    if data == '':
+        return 0
+    return struct.unpack('<I', data)[0]
 
 
 def GetNextMessageFromFile(file_to_parse):
-  message_size = GetNextMessageSize(file_to_parse)
-  if message_size == 0:
-    return None
-  try:
-    event = debug_dump_pb2.Event()
-    event.ParseFromString(file_to_parse.read(message_size))
-  except IOError:
-    print 'Invalid message in file'
-    return None
-  return event
+    message_size = GetNextMessageSize(file_to_parse)
+    if message_size == 0:
+        return None
+    try:
+        event = debug_dump_pb2.Event()
+        event.ParseFromString(file_to_parse.read(message_size))
+    except IOError:
+        print 'Invalid message in file'
+        return None
+    return event
 
 
 def InitMetrics():
-  metrics = {}
-  event = debug_dump_pb2.Event()
-  for metric in event.network_metrics.DESCRIPTOR.fields:
-    metrics[metric.name] = {'time': [], 'value': []}
-  return metrics
+    metrics = {}
+    event = debug_dump_pb2.Event()
+    for metric in event.network_metrics.DESCRIPTOR.fields:
+        metrics[metric.name] = {'time': [], 'value': []}
+    return metrics
 
 
 def InitDecisions():
-  decisions = {}
-  event = debug_dump_pb2.Event()
-  for decision in event.encoder_runtime_config.DESCRIPTOR.fields:
-    decisions[decision.name] = {'time': [], 'value': []}
-  return decisions
+    decisions = {}
+    event = debug_dump_pb2.Event()
+    for decision in event.encoder_runtime_config.DESCRIPTOR.fields:
+        decisions[decision.name] = {'time': [], 'value': []}
+    return decisions
 
 
 def ParseAnaDump(dump_file_to_parse):
-  with open(dump_file_to_parse, 'rb') as file_to_parse:
-    metrics = InitMetrics()
-    decisions = InitDecisions()
-    first_time_stamp = None
-    while True:
-      event = GetNextMessageFromFile(file_to_parse)
-      if event is None:
-        break
-      if first_time_stamp is None:
-        first_time_stamp = event.timestamp
-      if event.type == debug_dump_pb2.Event.ENCODER_RUNTIME_CONFIG:
-        for decision in event.encoder_runtime_config.DESCRIPTOR.fields:
-          if event.encoder_runtime_config.HasField(decision.name):
-            decisions[decision.name]['time'].append(event.timestamp -
-                                                    first_time_stamp)
-            decisions[decision.name]['value'].append(
-                getattr(event.encoder_runtime_config, decision.name))
-      if event.type == debug_dump_pb2.Event.NETWORK_METRICS:
-        for metric in event.network_metrics.DESCRIPTOR.fields:
-          if event.network_metrics.HasField(metric.name):
-            metrics[metric.name]['time'].append(event.timestamp -
-                                                first_time_stamp)
-            metrics[metric.name]['value'].append(
-                getattr(event.network_metrics, metric.name))
-  return (metrics, decisions)
+    with open(dump_file_to_parse, 'rb') as file_to_parse:
+        metrics = InitMetrics()
+        decisions = InitDecisions()
+        first_time_stamp = None
+        while True:
+            event = GetNextMessageFromFile(file_to_parse)
+            if event is None:
+                break
+            if first_time_stamp is None:
+                first_time_stamp = event.timestamp
+            if event.type == debug_dump_pb2.Event.ENCODER_RUNTIME_CONFIG:
+                for decision in event.encoder_runtime_config.DESCRIPTOR.fields:
+                    if event.encoder_runtime_config.HasField(decision.name):
+                        decisions[decision.name]['time'].append(
+                            event.timestamp - first_time_stamp)
+                        decisions[decision.name]['value'].append(
+                            getattr(event.encoder_runtime_config,
+                                    decision.name))
+            if event.type == debug_dump_pb2.Event.NETWORK_METRICS:
+                for metric in event.network_metrics.DESCRIPTOR.fields:
+                    if event.network_metrics.HasField(metric.name):
+                        metrics[metric.name]['time'].append(event.timestamp -
+                                                            first_time_stamp)
+                        metrics[metric.name]['value'].append(
+                            getattr(event.network_metrics, metric.name))
+    return (metrics, decisions)
 
 
 def main():
-  parser = OptionParser()
-  parser.add_option(
-      "-f", "--dump_file", dest="dump_file_to_parse", help="dump file to parse")
-  parser.add_option(
-      '-m',
-      '--metric_plot',
-      default=[],
-      type=str,
-      help='metric key (name of the metric) to plot',
-      dest='metric_keys',
-      action='append')
+    parser = OptionParser()
+    parser.add_option("-f",
+                      "--dump_file",
+                      dest="dump_file_to_parse",
+                      help="dump file to parse")
+    parser.add_option('-m',
+                      '--metric_plot',
+                      default=[],
+                      type=str,
+                      help='metric key (name of the metric) to plot',
+                      dest='metric_keys',
+                      action='append')
 
-  parser.add_option(
-      '-d',
-      '--decision_plot',
-      default=[],
-      type=str,
-      help='decision key (name of the decision) to plot',
-      dest='decision_keys',
-      action='append')
+    parser.add_option('-d',
+                      '--decision_plot',
+                      default=[],
+                      type=str,
+                      help='decision key (name of the decision) to plot',
+                      dest='decision_keys',
+                      action='append')
 
-  options = parser.parse_args()[0]
-  if options.dump_file_to_parse is None:
-    print "No dump file to parse is set.\n"
-    parser.print_help()
-    exit()
-  (metrics, decisions) = ParseAnaDump(options.dump_file_to_parse)
-  metric_keys = options.metric_keys
-  decision_keys = options.decision_keys
-  plot_count = len(metric_keys) + len(decision_keys)
-  if plot_count == 0:
-    print "You have to set at least one metric or decision to plot.\n"
-    parser.print_help()
-    exit()
-  plots = []
-  if plot_count == 1:
-    f, mp_plot = plt.subplots()
-    plots.append(mp_plot)
-  else:
-    f, mp_plots = plt.subplots(plot_count, sharex=True)
-    plots.extend(mp_plots.tolist())
+    options = parser.parse_args()[0]
+    if options.dump_file_to_parse is None:
+        print "No dump file to parse is set.\n"
+        parser.print_help()
+        exit()
+    (metrics, decisions) = ParseAnaDump(options.dump_file_to_parse)
+    metric_keys = options.metric_keys
+    decision_keys = options.decision_keys
+    plot_count = len(metric_keys) + len(decision_keys)
+    if plot_count == 0:
+        print "You have to set at least one metric or decision to plot.\n"
+        parser.print_help()
+        exit()
+    plots = []
+    if plot_count == 1:
+        f, mp_plot = plt.subplots()
+        plots.append(mp_plot)
+    else:
+        f, mp_plots = plt.subplots(plot_count, sharex=True)
+        plots.extend(mp_plots.tolist())
+
+    for key in metric_keys:
+        plot = plots.pop()
+        plot.grid(True)
+        plot.set_title(key + " (metric)")
+        plot.plot(metrics[key]['time'], metrics[key]['value'])
+    for key in decision_keys:
+        plot = plots.pop()
+        plot.grid(True)
+        plot.set_title(key + " (decision)")
+        plot.plot(decisions[key]['time'], decisions[key]['value'])
+    f.subplots_adjust(hspace=0.3)
+    plt.show()
 
-  for key in metric_keys:
-    plot = plots.pop()
-    plot.grid(True)
-    plot.set_title(key + " (metric)")
-    plot.plot(metrics[key]['time'], metrics[key]['value'])
-  for key in decision_keys:
-    plot = plots.pop()
-    plot.grid(True)
-    plot.set_title(key + " (decision)")
-    plot.plot(decisions[key]['time'], decisions[key]['value'])
-  f.subplots_adjust(hspace=0.3)
-  plt.show()
 
 if __name__ == "__main__":
-  main()
+    main()