Merge pull request #107 from paolo-losi/master

counter.py: reduce output

DeepSpeech/counter.py

@@ -12,11 +12,10 @@ def main(input_file, output_file, top_count=100000):
         fcontent = input.readlines()
     all_file = len(fcontent)
     print('Ingesting {}: {}'.format(input_file, all_file))
-    current = 0
-    for line in fcontent:
-        print('Feeding {}: {}/{} ({:.2f}%)'.format(input_file, current, all_file, (current / all_file) * 100), end='\r')
+    for current, line in enumerate(fcontent):
+        if (current % 1000) == 0:
+            print('Feeding {}: {}/{} ({:.2f}%)'.format(input_file, current, all_file, (current / all_file) * 100), end='\r')
         counter.update(line.split())
-        current += 1
     print('Counting {}'.format(input_file))
     vocab_str = '\n'.join(word for word, count in counter.most_common(top_count))
     print('Writing {}'.format(output_file))