![]() Operating system: see the Monotonic Clocks section below. The behaviour of clocks after a system suspend is not defined in theĭocumentation of new functions.time.clock() is marked asĭeprecated but is not planned for removal. Time.perf_counter() or time.process_time() should be used Portable: it behaves differently depending on the operating system. The time.clock() function is deprecated because it is not time.get_clock_info(): pybench program to display information about the.time.perf_counter(): trace and timeit modules, pybench program.Telnet and threading modules to implement timeout time.monotonic(): concurrent.futures, multiprocessing, queue, subprocess,. ![]() time.process_time(): profiling, CPU time of the process.time.perf_counter(): benchmarking, most precise clock for short.time.monotonic(): timeout and scheduling, not affected by system.Information about each Python time function. Time.get_clock_info() function gives access to all available (excluding time elapsed during sleep) and has the best availableĮach operating system implements clocks and performance countersĭifferently, and it is useful to know exactly which function is usedĪnd some properties of the clock like its resolution. The new time.process_time()įunction acts as a portable counter that always measures CPU time Used on Unix, but they require to compute the sum of time resource.getrusage() or os.times() can also be Until now, Python did not provide directly a portableįunction to measure CPU time. Portable behaviour (ex: include time spend during sleep). Used instead to always get the most precise performance counter with a The new time.perf_counter() function should be time.clock() resolution is very good on Windows, but Time.clock() includes time elapsed during sleep, whereas it does To measure the performance of a function, time.clock() can be usedīut it is very different on Windows and on Unix. Instead to not be affected by system time updates: Timeout too early or too late when the system time is changed manually orĪdjusted automatically by NTP. If a program uses the system time to schedule events or to implementĪ timeout, it may fail to run events at the right moment or stop the Time.process_time() functions to Python 3.3. Time.monotonic(), time.perf_counter() and This PEP proposes to add time.get_clock_info(name), Windows: GetTickCount(), GetTickCount64().CLOCK_MONOTONIC, CLOCK_MONOTONIC_RAW, CLOCK_BOOTTIME.Choosing the clock from a list of constraints.One function with a flag: time.monotonic(fallback=True).time.monotonic(): Fallback to system time.Turnbull, Victor Stinner Status : Final Type : Standards Track Created : 2 Python-Version : 3.3 Toggle light / dark / auto colour theme PEP 418 – Add monotonic time, performance counter, and process time functions Author : Cameron Simpson, Jim Jewett, Stephen J. PEP 418 – Add monotonic time, performance counter, and process time functions | Following system colour scheme Selected dark colour scheme Selected light colour scheme Python Enhancement Proposals
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