import re
from pathlib import Path
from unittest import TestCase

import pytest


@pytest.mark.integration
class 	lowerCamelCase_     (   UpperCAmelCase_ ):






    '''simple docstring'''






    def 			UpperCamelCase__   (	self , __lowercase)       ->	Optional[int]:

        with open(__lowercase , encoding='''utf-8''') as input_file:
            __UpperCamelCase     :str			  =		re.compile(r'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)''')
            __UpperCamelCase     :str			  =		input_file.read()
            __UpperCamelCase     :Optional[Any]			  =		regexp.search(__lowercase)

        return match







    def 			UpperCamelCase__   (	self , __lowercase)       ->	int:

        with open(__lowercase , encoding='''utf-8''') as input_file:
            __UpperCamelCase     :Any			  =		re.compile(r'''#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()''' , re.DOTALL)
            __UpperCamelCase     :Optional[int]			  =		input_file.read()
            # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
            __UpperCamelCase     :List[Any]			  =		regexp.finditer(__lowercase)

        __UpperCamelCase     :Optional[Any]			  =		[match for match in matches if match is not None and match.group(1) is not None]
        return matches[0] if matches else None







    def 			UpperCamelCase__   (	self)       ->	int:
        __UpperCamelCase     :Tuple			  =		Path('''./datasets''')
        __UpperCamelCase     :Tuple			  =		list(dataset_paths.absolute().glob('''**/*.py'''))

        for dataset in dataset_files:
            if self._no_encoding_on_file_open(str(__lowercase)):
                raise AssertionError(f"""open(...) must use utf-8 encoding in {dataset}""")







    def 			UpperCamelCase__   (	self)       ->	Optional[int]:
        __UpperCamelCase     :str			  =		Path('''./datasets''')
        __UpperCamelCase     :str			  =		list(dataset_paths.absolute().glob('''**/*.py'''))

        for dataset in dataset_files:
            if self._no_print_statements(str(__lowercase)):
                raise AssertionError(f"""print statement found in {dataset}. Use datasets.logger/logging instead.""")






from __future__ import annotations

from PIL import Image

# Define glider example
__lowercase							 =					[
    [0, 1, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0, 0],
    [1, 1, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
]

# Define blinker example
__lowercase							 =					[[0, 1, 0], [0, 1, 0], [0, 1, 0]]



def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :int			  =		[]
    for i in range(len(SCREAMING_SNAKE_CASE	)	):
        __UpperCamelCase     :Dict			  =		[]
        for j in range(len(cells[i]	)	):
            # Get the number of live neighbours
            __UpperCamelCase     :List[str]			  =		0
            if i > 0 and j > 0:
                neighbour_count += cells[i - 1][j - 1]
            if i > 0:
                neighbour_count += cells[i - 1][j]
            if i > 0 and j < len(cells[i]	) - 1:
                neighbour_count += cells[i - 1][j + 1]
            if j > 0:
                neighbour_count += cells[i][j - 1]
            if j < len(cells[i]	) - 1:
                neighbour_count += cells[i][j + 1]
            if i < len(SCREAMING_SNAKE_CASE	) - 1 and j > 0:
                neighbour_count += cells[i + 1][j - 1]
            if i < len(SCREAMING_SNAKE_CASE	) - 1:
                neighbour_count += cells[i + 1][j]
            if i < len(SCREAMING_SNAKE_CASE	) - 1 and j < len(cells[i]	) - 1:
                neighbour_count += cells[i + 1][j + 1]

            # Rules of the game of life (excerpt from Wikipedia):
            # 1. Any live cell with two or three live neighbours survives.
            # 2. Any dead cell with three live neighbours becomes a live cell.
            # 3. All other live cells die in the next generation.
            #    Similarly, all other dead cells stay dead.
            __UpperCamelCase     :List[str]			  =		cells[i][j] == 1
            if (
                (alive and 2 <= neighbour_count <= 3)
                or not alive
                and neighbour_count == 3
            ):
                next_generation_row.append(1	)
            else:
                next_generation_row.append(0	)

        next_generation.append(SCREAMING_SNAKE_CASE	)
    return next_generation



def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Optional[Any]			  =		[]
    for _ in range(SCREAMING_SNAKE_CASE	):
        # Create output image
        __UpperCamelCase     :Dict			  =		Image.new('''RGB'''  ,			(len(cells[0]	), len(SCREAMING_SNAKE_CASE	))	)
        __UpperCamelCase     :Any			  =		img.load()

        # Save cells to image
        for x in range(len(SCREAMING_SNAKE_CASE	)	):
            for y in range(len(cells[0]	)	):
                __UpperCamelCase     :Optional[Any]			  =		255 - cells[y][x] * 255
                __UpperCamelCase     :int			  =		(colour, colour, colour)

        # Save image
        images.append(SCREAMING_SNAKE_CASE	)
        __UpperCamelCase     :Optional[int]			  =		new_generation(SCREAMING_SNAKE_CASE	)
    return images


if __name__ == "__main__":
    __lowercase							 =					generate_images(GLIDER, 16)
    images[0].save('''out.gif''', save_all=True, append_images=images[1:])





