






"""simple docstring"""



import random
import sys

import numpy as np
from matplotlib import pyplot as plt
from matplotlib.colors import ListedColormap

_UpperCamelCase		:  Dict						=		'Usage of script: script_name <size_of_canvas:int>'

_UpperCamelCase		:  List[Any]						=		[0] * 1_0_0 + [1] * 1_0
random.shuffle(choice)
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  int    ):





  '''simple docstring'''





  lowercase							    =       [[False for i in range(__snake_case    )] for j in range(__snake_case    )]
  return canvas
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  list[list[bool]]    ):





  '''simple docstring'''





  for i, row in enumerate(__snake_case    ):
    for j, _ in enumerate(__snake_case    ):
      lowercase							    =       bool(random.getrandbits(1    )    )
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  list[list[bool]]    ):





  '''simple docstring'''





  lowercase							    =       np.array(__snake_case    )
  lowercase							    =       np.array(create_canvas(current_canvas.shape[0]    )    )
  for r, row in enumerate(__snake_case    ):
    for c, pt in enumerate(__snake_case    ):
      lowercase							    =       __judge_point(
          __snake_case		,					current_canvas[r - 1 : r + 2, c - 1 : c + 2]    )

  lowercase							    =       next_gen_canvas
  del next_gen_canvas  # cleaning memory as we move on.
  lowercase							    =       current_canvas.tolist()
  return return_canvas
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  bool		,					__snake_case			:  list[list[bool]]    ):





  '''simple docstring'''





  lowercase							    =       0
  lowercase							    =       0
  # finding dead or alive neighbours count.
  for i in neighbours:
    for status in i:
      if status:
        alive += 1
      else:
        dead += 1

    # handling duplicate entry for focus pt.
  if pt:
    alive -= 1
  else:
    dead -= 1

  # running the rules of game here.
  lowercase							    =       pt
  if pt:
    if alive < 2:
      lowercase							    =       False
    elif alive == 2 or alive == 3:
      lowercase							    =       True
    elif alive > 3:
      lowercase							    =       False
  else:
    if alive == 3:
      lowercase							    =       True

  return state


if __name__ == "__main__":
    if len(sys.argv) != 2:
        raise Exception(usage_doc)

    _UpperCamelCase		:  Any						=		int(sys.argv[1])
    # main working structure of this module.
    _UpperCamelCase		:  List[str]						=		create_canvas(canvas_size)
    seed(c)
    _UpperCamelCase,		_UpperCamelCase		:  List[str]						=		plt.subplots()
    fig.show()
    _UpperCamelCase		:  Tuple						=		ListedColormap(['w', 'k'])
    try:
        while True:
            _UpperCamelCase		:  Optional[int]						=		run(c)
            ax.matshow(c, cmap=cmap)
            fig.canvas.draw()
            ax.cla()
    except KeyboardInterrupt:
        # do nothing.
        pass










"""simple docstring"""



# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

_UpperCamelCase		:  Optional[Any]						=		TypeVar('T')

class        a     (   Generic[T]	):







    def __init__(			self							,		_lowerCamelCase = True       ):
      lowercase							    =       {}  # dictionary of lists
      lowercase							    =       directed







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase       ):

      if not self.directed:  # For undirected graphs
        # if both source vertex and destination vertex are both present in the
        # adjacency list, add destination vertex to source vertex list of adjacent
        # vertices and add source vertex to destination vertex list of adjacent
        # vertices.
        if source_vertex in self.adj_list and destination_vertex in self.adj_list:
          self.adj_list[source_vertex].append(_lowerCamelCase       )
          self.adj_list[destination_vertex].append(_lowerCamelCase       )
        # if only source vertex is present in adjacency list, add destination vertex
        # to source vertex list of adjacent vertices, then create a new vertex with
        # destination vertex as key and assign a list containing the source vertex
        # as it's first adjacent vertex.
        elif source_vertex in self.adj_list:
          self.adj_list[source_vertex].append(_lowerCamelCase       )
          lowercase							    =       [source_vertex]
        # if only destination vertex is present in adjacency list, add source vertex
        # to destination vertex list of adjacent vertices, then create a new vertex
        # with source vertex as key and assign a list containing the source vertex
        # as it's first adjacent vertex.
        elif destination_vertex in self.adj_list:
          self.adj_list[destination_vertex].append(_lowerCamelCase       )
          lowercase							    =       [destination_vertex]
        # if both source vertex and destination vertex are not present in adjacency
        # list, create a new vertex with source vertex as key and assign a list
        # containing the destination vertex as it's first adjacent vertex also
        # create a new vertex with destination vertex as key and assign a list
        # containing the source vertex as it's first adjacent vertex.
        else:
          lowercase							    =       [destination_vertex]
          lowercase							    =       [source_vertex]
      else:  # For directed graphs
        # if both source vertex and destination vertex are present in adjacency
        # list, add destination vertex to source vertex list of adjacent vertices.
        if source_vertex in self.adj_list and destination_vertex in self.adj_list:
          self.adj_list[source_vertex].append(_lowerCamelCase       )
        # if only source vertex is present in adjacency list, add destination
        # vertex to source vertex list of adjacent vertices and create a new vertex
        # with destination vertex as key, which has no adjacent vertex
        elif source_vertex in self.adj_list:
          self.adj_list[source_vertex].append(_lowerCamelCase       )
          lowercase							    =       []
        # if only destination vertex is present in adjacency list, create a new
        # vertex with source vertex as key and assign a list containing destination
        # vertex as first adjacent vertex
        elif destination_vertex in self.adj_list:
          lowercase							    =       [destination_vertex]
        # if both source vertex and destination vertex are not present in adjacency
        # list, create a new vertex with source vertex as key and a list containing
        # destination vertex as it's first adjacent vertex. Then create a new vertex
        # with destination vertex as key, which has no adjacent vertex
        else:
          lowercase							    =       [destination_vertex]
          lowercase							    =       []

      return self







    def __repr__(			self       ):
      return pformat(self.adj_list       )


