timer-module 1.3.0

Timer Module with performance profiling features

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📋 Prerequisite:

Requires Python >= 3.10
TimeProfiler makes use of new features from Python's typing module.

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🛠️ Installation:

pip install timer-module

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🖥️ Timer Usage:

Example Usage:

import time
from timer_module import TimerModule

timer_module = TimerModule().start()

timer_module.pause()
time.sleep(0.2)

timer_module.start()
time.sleep(0.5)

seconds = timer_module.get_time()
print(seconds)

Get the current time

# Seconds
TimerModule().get_time() # float

# Milliseconds
TimerModule().get_time_ms() # float

# Nanoseconds
TimerModule().get_time_ns() # float

Set the starting time

# Seconds
TimerModule().set_time(1.0)

# Milliseconds
TimerModule().set_time_ms(1.0)

# Nanoseconds
TimerModule().set_time_ns(1.0)

Pause timer:

TimerModule().pause()

Refresh timer (preserves timer run state):

TimerModule().refresh()

Reset timer (resets everything)

TimerModule().reset()

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🖥️ Profiler Usage:

TimeProfiler also includes a "function_profiler" and "async_function_profiler", in a class the asynchronous methods are handled automatically, but for functions you need to select the appropriate decorator.

import time
from timer_module import TimeProfiler

# You only need this line to profile the entire class 
# The program is run normally, this decorator will wrap 
# The class and its methods in order to track execution time
@TimeProfiler().class_profiler
class ExampleClass:
    def __init__(self):
        time.sleep(0.1)

    def method_1(self):
        time.sleep(0.5)
        self.method_2()

    def method_2(self):
        time.sleep(1)
        self.method_3()

    def method_3(self):
        time.sleep(1)
        self.method_4()

    def method_4(self):
        time.sleep(0.1)
        self.method_5()

    def method_5(self):
        time.sleep(0.1)


ec = ExampleClass()
ec.method_1()

Output: