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21 def funcer(*args, **kwargs): 22 start_time = time.time() 23 result = func(*args, **kwargs) 24 end_time = time.time() 25 print("{}:{}".format(func.__name__, end_time - start_time)) 26 return result
58 def time_this(original_function): 59 print "decorating" 60 def new_function(*args,**kwargs): 61 print "starting decoration" 62 x = original_function(*args,**kwargs) 63 return x 64 return new_function
190 def _wrapper(*args,**kwargs): 191 start_time = time.time() 192 func(*args, **kwargs) 193 print('func_name: {}, spent time: {}s'.format(func.__name__, time.time() - start_time))
237 def time_this_method(f): 238 """ 239 Rather primitive way of timing a method. More advanced would be the profilehooks module. 240 """ 241 from functools import wraps 242 243 @wraps(f) 244 def wrapper(*args, **kwargs): 245 t1 = time.perf_counter() 246 result = f(*args, **kwargs) 247 t2 = time.perf_counter() 248 diff = t2 - t1 249 if diff > 0.5: 250 print('Time for "{}()": {:5.3f} s'.format(f.__name__, diff)) 251 else: 252 print('Time for "{}()": {:5.3f} ms'.format(f.__name__, diff * 1000)) 253 return result 254 255 return wrapper
17 def time_func(tag, func): 18 t0 = time.time() if tag else None 19 ret = func() 20 if tag: 21 t1 = time.time() 22 print('Time for {}: {}'.format(tag, t1 - t0)) 23 return ret
76 def timeit(func, *args, **kwargs): 77 t0 = datetime.now() 78 result = func(*args, **kwargs) 79 t1 = datetime.now() 80 diff = t1 - t0 81 return {'secs': diff.total_seconds(), 'return_value': result}
40 @wraps(fn) 41 def time_fn(*args, **kwargs): 42 start = time.time() 43 output = fn(*args, **kwargs) 44 end = time.time() 45 logger.debug(f'Timed: {fn.__name__} {round((end - start) * 1000, 4)}ms') 46 return output
59 def time_it(fn, *args): 60 """ 61 Timing function 62 """ 63 start = time.time() 64 ret = fn(*args) 65 end = time.time() 66 return ((end - start) * 1000, ret)
15 def timef(n, use_cython): 16 pyorcy.USE_CYTHON = use_cython 17 t1 = time() 18 v = f(n, n) 19 delta = time() - t1 20 print("n = %d f = %.1f use_cython = %s time: %.3fs" 21 % (n, v, use_cython, delta)) 22 return delta
30 def time_func(stmt, n=10, setup='from __main__ import *'): 31 t = timeit.Timer(stmt, setup) 32 total_time = t.timeit(n) 33 iter_time = total_time / n 34 iter_per_sec = n / total_time 35 print "func:%s nIter:%s total_time:%s iter_time:%s iter_per_sec: %s" % (stmt, n, total_time, iter_time, iter_per_sec)