<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def realtime_learning_curves(runs):
 	""" 	example how to extract a different kind of learning curve. 	 	The x values are now the time the runs finished, not the budget anymore. 	We no longer plot the validation loss on the y axis, but now the test accuracy. 	 	This is just to show how to get different information into the interactive plot. 	 	"""

	sr = sorted(runs, key=lambda r: r.budget)
	lc = list(filter(lambda t: not t[1] is None, [(r.time_stamps['finished'], r.info['test accuracy']) for r in sr]))
	return([lc,])