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Multiple Threads#

Why Use Multiple Threads?#

Imagine that you want to troubleshoot which parts of your code are performing better or worse. Or do you want to split-test the performance of different methods? Timer for Python is a quick, easy way to get the job done.

Code Exmaple#

To measure the performance of multiple blocks of code, use the thread argument to name different threads:

Python
from timer import Timer

timer = Timer()
timer.start(thread="A")

# Insert your code here

    timer.start(thread="B", decimals=5)

    # Insert more code here

    timer.stop(thread="B")

# Insert even more code here

timer.stop(thread="A")

Terminal output example:

Elapsed time: 0.12345 seconds for thread B
Elapsed time: 6.78 seconds for thread A

Context Manager#

Or use the context manager with statement to get the same result with less code:

Python
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from timer import Timer

with Timer(thread="A")
    # Insert your code here

    with Timer(thread="B", decimals=5):
        # Insert more code here

    # Insert even more code here

Learn more about context management.

Singleton and Unique Threads

The Timer() class is a singleton, which means that there can only be one instance of the class. This is to ensure that the same Timer() is used for all threads and that each thread is unique.