---

from PIL import Image
import random


def image_to_inputs(filename):
    image = Image.open(filename)
    image = image.convert("L")

    pixels = list(image.getdata())

    inputs = [1]

    for y in range(20):
        for x in range(20):
            pixel = pixels[y * 20 + x]

            if pixel > 128:
                inputs.append(0)
            else:
                inputs.append(1)

    return inputs


def create_weights():
    weights = []

    for i in range(401):
        weights.append(random.uniform(-0.3, 0.3))

    return weights


def calculate_sum(inputs, weights):
    s = 0

    for i in range(401):
        s += inputs[i] * weights[i]

    return s


def activation(s):
    if s >= 0:
        return 1
    else:
        return 0


def update_weights(inputs, weights, learning_rate, delta):
    for i in range(401):
        weights[i] = weights[i] + learning_rate * delta * inputs[i]

    return weights


# Картинка
inputs = image_to_inputs("plus1.png")

# Начальные веса
weights = create_weights()

# Работа нейрона
s = calculate_sum(inputs, weights)
output = activation(s)

# Обучение на одном примере
PLUS = 0
MINUS = 1

target = PLUS
delta = target - output

learning_rate = 0.6

weights = update_weights(inputs, weights, learning_rate, delta)

print("Количество входов:", len(inputs))
print("Выход нейрона:", output)
print("Правильный ответ:", target)
print("Ошибка:", delta)