How profilers work - stat

summary_stat.py

def print_summary(stats, total_time):
    total_samples = sum(stats.values())
    print('Total time: %f s' % total_time)
    print('Total samples: %s' % total_samples)

    for curr_stack, sample_count in stats.items():
        num_samples = sample_count
        children = [
            stack for stack in stats
            if len(stack) > len(curr_stack) and curr_stack in stack]
        # Number of samples for function is number of samples caught by
        # the function plus sum of samples of children.
        if children:
            num_samples += sum(stats[child] for child in children)
        sample_percent= 100.0 * num_samples / total_samples
        print('Function: %s, sample count: %d, percentage: %f %%' % (
            curr_stack, num_samples, sample_percent))

print_summary(stats, end_time - start_time)