




from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
__SCREAMING_SNAKE_CASE    :   Optional[int]       =[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
          0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]

def 			lowerCAmelCase_			(  lowerCamelCase:       int						)					->			list[int]:


      '''simple docstring'''




      return [int(lowerCamelCase						) for c in f"""{ruleset:08}"""[:8]]

def 			lowerCAmelCase_			(  lowerCamelCase:       list[list[int]]     ,				lowerCamelCase:       list[int]     ,				lowerCamelCase:       int						)					->			list[int]:


      '''simple docstring'''




      lowerCamelCase__        =				len(cells[0]						)  # 31
      lowerCamelCase__        =				[]
      for i in range(lowerCamelCase						):
            # Get the neighbors of each cell
            # Handle neighbours outside bounds by using 0 as their value
            lowerCamelCase__        =				0 if i == 0 else cells[time][i - 1]
            lowerCamelCase__        =				0 if i == population - 1 else cells[time][i + 1]
            # Define a new cell and add it to the new generation
            lowerCamelCase__        =				7 - int(f"""{left_neighbor}{cells[time][i]}{right_neighbor}"""     ,				2						)
            next_generation.append(rule[situation]						)
      return next_generation

def 			lowerCAmelCase_			(  lowerCamelCase:       list[list[int]]						)					->			Image.Image:


      '''simple docstring'''




      lowerCamelCase__        =				Image.new('RGB'     ,				(len(cells[0]						), len(lowerCamelCase						))						)
      lowerCamelCase__        =				img.load()
      # Generates image
      for w in range(img.width						):
            for h in range(img.height						):
                  lowerCamelCase__        =				2_55 - int(2_55 * cells[h][w]						)
                  lowerCamelCase__        =				(color, color, color)
      return img


if __name__ == "__main__":
      __SCREAMING_SNAKE_CASE    :   Optional[int]       =bin(int(input("""Rule:\n""").strip()))[2:]
      __SCREAMING_SNAKE_CASE    :   Dict       =format_ruleset(int(rule_num))
      for time in range(16):
            CELLS.append(new_generation(CELLS, rule, time))
      __SCREAMING_SNAKE_CASE    :   Tuple       =generate_image(CELLS)
      # Uncomment to save the image
      # img.save(f"rule_{rule_num}.png")
      img.show()





import shutil

import requests

def 			lowerCAmelCase_			(  lowerCamelCase:       str     ,				lowerCamelCase:       bool = False     ,				lowerCamelCase:       str = "."						)					->			dict:


      '''simple docstring'''




      lowerCamelCase__        =				'https://api.nasa.gov/planetary/apod'
      return requests.get(lowerCamelCase     ,				params={'api_key': api_key}						).json()

def 			lowerCAmelCase_			(  lowerCamelCase:       str     ,				lowerCamelCase:       str = "."						)					->			dict:


      '''simple docstring'''




      lowerCamelCase__        =				get_apod_data(lowerCamelCase						)
      lowerCamelCase__        =				apod_data['url']
      lowerCamelCase__        =				img_url.split('/'						)[-1]
      lowerCamelCase__        =				requests.get(lowerCamelCase     ,				stream=lowerCamelCase						)

      with open(f"""{path}/{img_name}"""     ,				'wb+'						) as img_file:
            shutil.copyfileobj(response.raw     ,				lowerCamelCase						)
      del response
      return apod_data

def 			lowerCAmelCase_			(  lowerCamelCase:       str						)					->			dict:


      '''simple docstring'''




      lowerCamelCase__        =				'https://images-api.nasa.gov/search'
      return requests.get(lowerCamelCase     ,				params={'q': query}						).json()


if __name__ == "__main__":
      print(save_apod("""YOUR API KEY"""))
      __SCREAMING_SNAKE_CASE    :   Tuple       =get_archive_data("""apollo 2011""")["""collection"""]["""items"""]
      print(apollo_aaaa_items[0]["""data"""][0]["""description"""])