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This article mainly explains "the example usage of time-consuming function in python". Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Now let the editor take you to learn "the example usage of time-consuming function in python".

Import stringimport randomimport timeimport functoolsdef list_from_2d_np (np_array): "" convert a 2d numpy array to a list "shape = np_array.shape total = shape [0] * shape [1] new_array = np_array.reshape (total) return list (new_array) def generate_random_str (length=20): return '.join (random.choice (string.digits + string.ascii_letters) for _ in range ( Length)) def generate_time_stamp (): time_unique_id = time.strftime ("% Y-%m-%d-%H-%M-%S" Time.localtime () return time_unique_iddef time_it (fn): @ functools.wraps (fn) def inner (* args, * * kwargs): start = time.time () fn (* args, * * kwargs) end = time.time () print ("Time cost for function `{}`: {}" .format (fn.__name__, (end-start) return inner so far I believe you have a deeper understanding of "the example usage of time-consuming functions in python", so you might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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