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Raptor

A Easy Way To Benchmark Your Code.

How To Use It

Step 1: First You Will Need To Create A Benchmark File For Your Project

"""to_benchmark.py"""

#Add All Your Setup
import math


#Write Your Benchmarking Functions
def bench_square_root():
    """Name Your Function Starting With bench. Or Raptor Wont Detect It
    Also the function should not take any arguments"""
    return math.sqrt(25)

def bench_multiply():
    return 5 ** 25

Step 2: Download raptor.py

pip install python-raptor

Then, Run This In Your Terminal

NOTICE: The -t Argument Takes An Integer Which Tells Raptor How Many Times Should Each Benchmarking Function Run

raptor.py to_benchmark.py -t 10000

Step 3: See The Output. Voilaaaaa!!!!!!!!!

Output

========== Bench Marking ===========
[bench_square_root] Took 0.0025385 Seconds For 10000 Run(s)
[bench_multiply] Took 0.0010813999999999997 Seconds For 10000 Run(s)

Future Features

  1. I want to add an history, which can show you how much faster or slower your program has gotten
  2. I want to add colored output
  3. I want to add better exception handling

Built With

Raptor Uses Timeit Module To Benchmark Your Code

Author

Roshan Jignesh Mehta - sonicroshan122@gmail.com

Metadata

Release files for python-raptor 0.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for python-raptor 0.2.1
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Table of built distributions (wheels) for python-raptor 0.2.1
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python_raptor-0.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 18.1 kB

Release files / python_raptor-0.2.1.tar.gz

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