Created
          February 20, 2014 22:18 
        
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    Timeit Method Decorator
  
        
  
    
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  | import time | |
| def timeit(func=None,loops=1,verbose=False): | |
| if func != None: | |
| def inner(*args,**kwargs): | |
| sums = 0.0 | |
| mins = 1.7976931348623157e+308 | |
| maxs = 0.0 | |
| print '====%s Timing====' % func.__name__ | |
| for i in range(0,loops): | |
| t0 = time.time() | |
| result = func(*args,**kwargs) | |
| dt = time.time() - t0 | |
| mins = dt if dt < mins else mins | |
| maxs = dt if dt > maxs else maxs | |
| sums += dt | |
| if verbose == True: | |
| print '\t%r ran in %2.9f sec on run %s' %(func.__name__,dt,i) | |
| print '%r min run time was %2.9f sec' % (func.__name__,mins) | |
| print '%r max run time was %2.9f sec' % (func.__name__,maxs) | |
| print '%r avg run time was %2.9f sec in %s runs' % (func.__name__,sums/loops,loops) | |
| print '==== end ====' | |
| return result | |
| return inner | |
| else: | |
| def partial_inner(func): | |
| return timeit(func,loops,verbose) | |
| return partial_inner | |
| @timeit(loops=1000) | |
| def myTestFunction(): | |
| # call cpu intensive task | |
| pass | 
  
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Not my code. Found it on the internet somewhere and have been using it.