





from __future__ import annotations

from PIL import Image

# Define glider example
_A					:				Optional[int]				=			[
    [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
_A					:				List[Any]				=			[[0, 1, 0], [0, 1, 0], [0, 1, 0]]


def 							__snake_case							(    lowerCAmelCase_	)				->						list[list[int]]:
    SCREAMING_SNAKE_CASE__											=			[]
    for i in range(len(UpperCAmelCase_	)	):
        SCREAMING_SNAKE_CASE__											=			[]
        for j in range(len(cells[i]	)	):
            # Get the number of live neighbours
            SCREAMING_SNAKE_CASE__											=			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(UpperCAmelCase_	) - 1 and j > 0:
                neighbour_count += cells[i + 1][j - 1]
            if i < len(UpperCAmelCase_	) - 1:
                neighbour_count += cells[i + 1][j]
            if i < len(UpperCAmelCase_	) - 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.
            SCREAMING_SNAKE_CASE__											=			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(UpperCAmelCase_	)
    return next_generation


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_	)				->						list[Image.Image]:
    SCREAMING_SNAKE_CASE__											=			[]
    for _ in range(UpperCAmelCase_	):
        # Create output image
        SCREAMING_SNAKE_CASE__											=			Image.new('''RGB''' ,							(len(cells[0]	), len(UpperCAmelCase_	))	)
        SCREAMING_SNAKE_CASE__											=			img.load()

        # Save cells to image
        for x in range(len(UpperCAmelCase_	)	):
            for y in range(len(cells[0]	)	):
                SCREAMING_SNAKE_CASE__											=			2_5_5 - cells[y][x] * 2_5_5
                SCREAMING_SNAKE_CASE__											=			(colour, colour, colour)

        # Save image
        images.append(UpperCAmelCase_	)
        SCREAMING_SNAKE_CASE__											=			new_generation(UpperCAmelCase_	)
    return images


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







'''simple docstring'''




import requests
from bsa import BeautifulSoup




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_							)   ->str:
	snake_case__	       =   BeautifulSoup(requests.get(UpperCAmelCase_					,				params=UpperCAmelCase_							).content					,				'html.parser'							)
	snake_case__	       =   soup.find('div'					,				attrs={'class': 'gs_ri'}							)
	snake_case__	       =   div.find('div'					,				attrs={'class': 'gs_fl'}							).find_all('a'							)
	return anchors[2].get_text()


if __name__ == "__main__":
			a__					:			int          =     {
			    '''title''': (
			        '''Precisely geometry controlled microsupercapacitors for ultrahigh areal '''
			        '''capacitance, volumetric capacitance, and energy density'''
			    ),
			    '''journal''': '''Chem. Mater.''',
			    '''volume''': 30,
			    '''pages''': '''3979-3990''',
			    '''year''': 2018,
			    '''hl''': '''en''',
			}
			print(get_citation('''https://scholar.google.com/scholar_lookup''', params=params))



