#!/usr/bin/env python3
import numpy as np
import os.path
import sys
from torch import optim
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from src import param
from src import network
parameters = param.Param()
net = network.Network()
input1234 = net.AddBinaryNodes(4)
# with size: 4
x = np.array([[0, 1, 0, 0],
[1, 0, 1, 1]])
# print(input1234.val)
prod12 = net.AddProductNodes(3)
prod34 = net.AddProductNodes(3)
# with size: 3
mask12 = np.array([[1, 1, 0],
def setUp(self):
""" Setting up for the test """
self.param = param.Param()