lidorshimoni

import numpy as np


class NeuralNetwork():

    def __init__(self, inputs):
        np.random.seed(1)

        # Set synaptic weights to a 3x1 matrix,
        # with values from -1 to 1 and mean 0

lidorshimoni

from __future__ import print_function
import keras
from keras.datasets import cifar10
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPooling2D
import os

batch_size = 32

lidorshimoni

from pynput.keyboard import Key, Controller
import time

keyboard = Controller()
while True:
    text = input("text:")
    time.sleep(1)
    for char in text:
        keyboard.press(char)

lidorshimoni

weakest_enemies=0
WEAKEST_ENEMIES_LIST_LENGTH = 5

def find_strongest_allies(pw, x):
    strongList = list()
    i = 0
    if x > len(pw.enemy_planets()):
        x = len(pw.enemy_planets())
    while i < x: