This code is a proof of context for a Python script that self-improves using the OpenAI API.

self_improving_script_with_openai.py

#!/usr/bin/env python
"""
Run this code under the Python interpreter.
"""

import os
import random
import re
import openai


PROMPT = '''Mejora el siguiente código en Python, agrégale comentarios, optimiza las líneas de códigos. No se suministra el resultado de la ejecución.

Código:

```python
{code}
```

----

Código optimizado:

```python
'''


def generate_prompt(code: str):
    return PROMPT.format(code=code)


def parse_result(result: str):
    regex = re.compile(r'(.+)(?=\n```\n*\Z)', re.DOTALL)
    searched = regex.search(result)
    return searched.group(1)


def matrix___multiply(A, B): 
    result = [[0,0,0,0], 
              [0,0,0,0], 
              [0,0,0,0], 
              [0,0,0,0]] 
    for i in range(len(A)): 
        for j in range(len(B[0])): 
            for k in range(len(B)): 
                result[i][j] += A[i][k] * B[k][j] 
    return result


def GenerateRandomMatrix4x4():
    random_matrix = [[random.randint(0, 9) for j in range(4)] for i in range(4)]
    return random_matrix


def autoImprove(prompt: str):
    """This code use the OpenAI API to completion the task described at the prompt. Use as-is."""
    rRrR = openai.Completion.create(
        model="text-davinci-003",
        prompt=prompt,
        temperature=0,
        max_tokens=2048,
    )
    print(rRrR)
    return rRrR["choices"][0]['text']


def main():
    matrix1 = GenerateRandomMatrix4x4()
    matrix2 = GenerateRandomMatrix4x4()
    R = matrix___multiply(matrix1,
        matrix2
    )
    print('The result is:', R)
    file = open(__file__, 'r', encoding='utf-8')
    code = file.read()
    proMPT = generate_prompt(code)
    result = autoImprove(proMPT)
    newCODE = parse_result(result)
    file = open(__file__, 'w', encoding='utf-8')
    file.write(newCODE)
    file.close()
    print('Code', 'auto', 'improved')


if __name__ == '__main__':
    main()