https://github.com/thundr67/raptor

An Easy Way To Benchmark Your Python Code
https://github.com/thundr67/raptor

benchmark benchmark-framework benchmarking benchmarks pytho python python3 tool

Last synced: about 2 months ago
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An Easy Way To Benchmark Your Python Code

• Host: GitHub
• URL: https://github.com/thundr67/raptor
• Owner: ThundR67
• License: gpl-3.0
• Created: 2019-02-09T08:39:44.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-02-10T07:24:13.000Z (almost 6 years ago)
• Last Synced: 2024-04-24T01:43:11.397Z (9 months ago)
• Topics: benchmark, benchmark-framework, benchmarking, benchmarks, pytho, python, python3, tool
• Language: Python
• Size: 15.6 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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

```python3

"""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 - [email protected]