functimer 1.3.1

A programmatic approach to function runtime estimation.

functimer

A programmatic approach to function runtime estimation.

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About

This package first came about as a way to serve my needs during an Algorithms class in college.
It started as a function that stored time elapsed results in a global dictionary, where the key was a tuple of the functions name and return value. Now it's just a bit different.

Installation

• PYPI:

      pip install functimer
  

• Manual:

      poetry install --no-dev
      poetry build
      pip install dist/*.whl
  

How to install Poetry.

Quick Example

Comprehensive Examples in examples/

• Python

      @timed(unit=Unit.SECOND, number=1)
      def timed_sleep(seconds):
          sleep(seconds)
  
      runtime = timed_sleep(1)
      "1.00 s"
  

• Command Line

    $ python -m functimer "sum([1, 2, 3])"
    Average runtime of 10,000 executions: 0.15 µs
  
    $ python -m functimer "sum([1, 2, 3])" --return
    Average runtime of 10,000 executions: 0.15 µs
    sum([1, 2, 3]) -> 6
  
    $ python -m functimer "(lambda x: x+x)(10)" --return
    Average runtime of 10,000 executions: 0.14 µs
    (lambda x: x+x)(10) -> 20
  
    $ python -m functimer "functimer.util.get_unit('1.00 s')" --return
    Average runtime of 10,000 executions: 0.50 µs
    functimer.util.get_unit('1.00 s') -> Unit.SECOND
  
    $ python -m functimer "functimer.classes.Unit.from_str('s')" --return
    Average runtime of 10,000 executions: 0.25 µs
    functimer.classes.Unit.from_str('s') -> Unit.SECOND
  

Tests

Run tox in the root directory of the repo.

License

MIT