Implement Hamming Code in Python

Foreword

Hamming codes can detect one-bit and two-bit errors, or correct one-bit errors without detection of uncorrected errors.
The code is from the video below,
Bilibili: https://www.bilibili.com/video/BV1pV411y7E8

Code

import numpy as np
from functools import reduce


# import operator as op

def hamming_syndrome(bits):
    """
    :param bits: any standard Hamming code
     for example: Hamming(15, 11), Hamming(31, 26)
    :return: 0(means correct) or The Wrong location index
    """
    return reduce(
        # Reduce by xor
        lambda x, y: x ^ y,
        # All indices of active bits
        [i for (i, b) in enumerate(bits) if b]
    )


# Correct Hamming(15, 11) Code
bits = [1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0]

# Error flipping in simulation
bits[10] = not bits[10]

# Code detection
print(hamming_syndrome(bits))