from __future__ import division
import numpy as np
import os, sys

if __name__ == '__main__':
	try:
		path = sys.argv[1]
		time_stamps = np.load(os.path.join(path, 'world_timestamps.npy'))
		pts = np.load(os.path.join(path, 'pupil_positions.npy'))
		valid = filter(lambda e: e[1] > 0, pts) # filter all with zero confidence
		csum = sum(e[1] for e in pts)
		print 'Ratio: %s' % round(len(valid)*100/len(pts), 2) + '%'
		if len(valid):
			print 'Average Confidence:', csum/len(valid)
		print 'Frames: %s' % len(time_stamps)
	except Exception, err:
		print 'Something went wrong.'
		print err