Dataset binary addiction

import numpy as np
import sys

def generate_dataset(output_dim = 8,num_examples=1000):
    def int2vec(x,dim=output_dim):
        out = np.zeros(dim)
        binrep = np.array(list(np.binary_repr(x))).astype('int')
        out[-len(binrep):] = binrep
        return out

    x_left_int = (np.random.rand(num_examples) * 2**(output_dim - 1)).astype('int')
    x_right_int = (np.random.rand(num_examples) * 2**(output_dim - 1)).astype('int')
    y_int = x_left_int + x_right_int

    x = list()
    for i in range(len(x_left_int)):
        x.append(np.concatenate((int2vec(x_left_int[i]),int2vec(x_right_int[i]))))

    y = list()
    for i in range(len(y_int)):
        y.append(int2vec(y_int[i]))

    x = np.array(x)
    y = np.array(y)
    
    return (x,y)
    


num_examples = 1000
output_dim = 12
iterations = 1000

x,y = generate_dataset(num_examples=num_examples, output_dim = output_dim)
print("Input: two concatenated binary values:")
print(x[0])
print("\nOutput: binary value of their sum:")
print(y[0])