timemycode 1.0.3

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package: TimeMyCode

The goal of this package is to time the execution of differents parts of a Python code.

1. Initiate the global timer

The package TimeMyCode depends of the built-in packages contextlib and time.

The design of the class TimeMyCode is based on the Singleton pattern. So all new instance inside the code refer finally to the same object.

Just need to import the package:

> from timemycode import TimeMyCode as TMC

To use it, just call the class to get the object:

> with TMC().tag("test 1"):
>    ...

2. Use the global timer in your code

As this package uses a context manager, we have to use it with the statement "with". To time a new part of code, we have to use a new tag.

> with TMC().tag("This is my new tag"):
>     ...

The same tag could be use in different parts inside your code.

3. Print the time log

At the end of the process you want to time, you could display the global time log by calling the method summary().

Note: the method summary() reinitiate the timer.

> print(TMC().summary())

Time log:
  - This is my new tag ....... 6.01s ->  1 it [6.0100 s/it]

Total time: 6.02s

Details:

• the tag name
• the total execution time for this tag
• the number of iterations (number of calls of this tag)
• the time per iteration

4. Example with a For loop

> for i in range(5):
>     with TMC().tag('for 1'):
>         sleep(0.5)
> 
>         for i in range(15):
>             with TMC().tag('  for 2'):
>                 sleep(0.1)
> 
> print(TMC().summary())

Time log:
  - for 1 ..... 10.02s ->  5 it [2.0034 s/it]
  -   for 2 ...  7.51s -> 75 it [0.1002 s/it]

Total time: 10.02s