from PIL import Image
import numpy as np
from turtle import *

class programm():
    def __init__(self):
        pass
    
    
class LoadImage():
    def __init__(self, src:str=""):
        self.src = src
        self.turtl()
    
    def turtl(self):
        image_array=self.load(src=self.src)
        t = Turtle()
        tracer(0)
        t.pensize(1.1)
        t.speed(0)
        
        begin_fill()
        t.penup()
        for y,i in enumerate(image_array):
            for x,j in enumerate(i):
               
                if j == True:
                    
                    continue
                else:
                    t.goto(x,-y)
                    t.dot()
                    continue
                update()
        end_fill()
        done()
    
    def load(self, src:str):
        new_size=(450,450)
        threshold = 210
        image_op = Image.open(src).convert("L")
        image = image_op.point(lambda x: 255 if x > threshold else 0).convert('1')
        image = image.convert('1')
        image = image.resize(new_size, resample=Image.BOX)
        
        image_array = np.array(image)
        
        image.save("/home/jze9/Документы/git/acmp/turtle/save8.png")
        return image_array
    
LoadImage(src="/home/jze9/Документы/git/acmp/turtle/test2.png")