(if you encountered any problems make you sure you have entered the right username) Now you can see your account followers, likes updated live. Please note both time.perf_counter_ns() and time.process_time_ns() come up with Python 3.7 onward. Its simple, just follow the steps below : Enter your tiktok username above. # 0.0 -> output excluding 5 seconds sleep time
#Tictoc counter code#
So if you want it as nanoseconds, you can use time.process_time_ns() and if your code consist with time.sleep(secs), it won't count. Use process_time_ns() to avoid the precision loss caused by the float type. The reference point of the returned value is undefined, so that only the difference between the results of two calls is valid. It does not include time elapsed during sleep. Return the value (in fractional seconds) of the sum of the system and user CPU time of the current process. # 15.0041916 -> output including 5 seconds sleep time So if you want it as nanoseconds, you can use time.perf_counter_ns() and if your code consist with time.sleep(secs), it will also count. The reference point of the returned value is undefined, so that only the difference between the results of two calls is valid.Ĭhanged in version 3.10: On Windows, the function is now system-wide. It does include time elapsed during sleep and is system-wide. a clock with the highest available resolution to measure a short duration. Return the value (in fractional seconds) of a performance counter, i.e. In the documentation also mention about this warning in-detail in time.clock() section.ĭeprecated since version 3.3, will be removed in version 3.8: The behaviour of this function depends on the platform: use perf_counter() or process_time() instead, depending on your requirements, to have a well defined behaviour. This warning suggest two function instead of time.clock(). You can see more about it from issue #13270. So python will remove time.clock() from Python 3.8. DeprecationWarning: time.clock has been deprecated in Python 3.3 and will be removed from Python 3.8: use time.perf_counter or time.process_time instead So I tried the approved answer and I got this warning. I also got a requirement to calculate the process time of some code lines.
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