
def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			List[str]						,  _lowerCamelCase :			Union[str, Any])					->    Optional[int]:






							'''simple docstring'''





							print("\nThe shortest path matrix using Floyd Warshall algorithm\n")
							for i in range(_lowerCamelCase):
														for j in range(_lowerCamelCase):
																					if dist[i][j] != float("inf"):
																												print(int(dist[i][j])						,  end="\t")
																					else:
																												print("INF"						,  end="\t")
														print()




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			Dict						,  _lowerCamelCase :			List[Any])					->    Tuple:






							'''simple docstring'''





							__UpperCamelCase	:   Union[str, Any]			   =					[[float("inf") for _ in range(_lowerCamelCase)] for _ in range(_lowerCamelCase)]

							for i in range(_lowerCamelCase):
														for j in range(_lowerCamelCase):
																					__UpperCamelCase	:   Any			   =					graph[i][j]

																					# check vertex k against all other vertices (i, j)
							for k in range(_lowerCamelCase):
														# looping through rows of graph array
														for i in range(_lowerCamelCase):
																					# looping through columns of graph array
																					for j in range(_lowerCamelCase):
																												if (
																												    dist[i][k] != float("inf")
																												    and dist[k][j] != float("inf")
																												    and dist[i][k] + dist[k][j] < dist[i][j]
																												):
																																			__UpperCamelCase	:   Union[str, Any]			   =					dist[i][k] + dist[k][j]

							_print_dist(_lowerCamelCase						,  _lowerCamelCase)
							return dist, v


if __name__ == "__main__":
		lowercase  :					List[str]													=       int(input('Enter number of vertices: '))
		lowercase  :					str													=       int(input('Enter number of edges: '))

		lowercase  :					Dict													=       [[float('inf') for i in range(v)] for j in range(v)]

		for i in range(v):
				lowercase  :					Dict													=       0.0

				# src and dst are indices that must be within the array size graph[e][v]
				# failure to follow this will result in an error
		for i in range(e):
				print('\nEdge ', i + 1)
				lowercase  :					List[str]													=       int(input('Enter source:'))
				lowercase  :					Dict													=       int(input('Enter destination:'))
				lowercase  :					List[Any]													=       float(input('Enter weight:'))
				lowercase  :					Any													=       weight

		floyd_warshall(graph, v)

		# Example Input
		# Enter number of vertices: 3
		# Enter number of edges: 2

		# # generated graph from vertex and edge inputs
		# [[inf, inf, inf], [inf, inf, inf], [inf, inf, inf]]
		# [[0.0, inf, inf], [inf, 0.0, inf], [inf, inf, 0.0]]

		# specify source, destination and weight for edge #1
		# Edge  1
		# Enter source:1
		# Enter destination:2
		# Enter weight:2

		# specify source, destination and weight for edge #2
		# Edge  2
		# Enter source:2
		# Enter destination:1
		# Enter weight:1

		# # Expected Output from the vertice, edge and src, dst, weight inputs!!
		# 0		INF	INF
		# INF	0	2
		# INF	1	0

import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse('9.1.0'):
		lowercase  :					int													=       {
		    'linear': PIL.Image.Resampling.BILINEAR,
		    'bilinear': PIL.Image.Resampling.BILINEAR,
		    'bicubic': PIL.Image.Resampling.BICUBIC,
		    'lanczos': PIL.Image.Resampling.LANCZOS,
		    'nearest': PIL.Image.Resampling.NEAREST,
		}
else:
		lowercase  :					Any													=       {
		    'linear': PIL.Image.LINEAR,
		    'bilinear': PIL.Image.BILINEAR,
		    'bicubic': PIL.Image.BICUBIC,
		    'lanczos': PIL.Image.LANCZOS,
		    'nearest': PIL.Image.NEAREST,
		}




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			int)					->    Any:






							'''simple docstring'''





							__UpperCamelCase	:   Union[str, Any]			   =					(images / 2 + 0.5).clamp(0						,  1)
							__UpperCamelCase	:   int			   =					images.cpu().permute(0						,  2						,  3						,  1).float().numpy()
							__UpperCamelCase	:   Dict			   =					numpy_to_pil(_lowerCamelCase)
							return images




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			Optional[Any])					->    Optional[Any]:






							'''simple docstring'''





							if images.ndim == 3:
														__UpperCamelCase	:   Optional[int]			   =					images[None, ...]
							__UpperCamelCase	:   Dict			   =					(images * 255).round().astype("uint8")
							if images.shape[-1] == 1:
														# special case for grayscale (single channel) images
														__UpperCamelCase	:   int			   =					[Image.fromarray(image.squeeze()						,  mode="L") for image in images]
							else:
														__UpperCamelCase	:   Union[str, Any]			   =					[Image.fromarray(_lowerCamelCase) for image in images]

							return pil_images