

'''simple docstring'''

def    A_  ( snake_case      ,       snake_case ):
  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    A_  ( snake_case      ,       snake_case ):
  SCREAMING_SNAKE_CASE:List[str]						      =					[[float("inf" ) for _ in range(lowerCamelCase__ )] for _ in range(lowerCamelCase__ )]

  for i in range(lowerCamelCase__ ):
    for j in range(lowerCamelCase__ ):
      SCREAMING_SNAKE_CASE:Tuple						      =					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]
        ):
          SCREAMING_SNAKE_CASE:List[Any]						      =					dist[i][k] + dist[k][j]

  _print_dist(lowerCamelCase__      ,       lowerCamelCase__ )
  return dist, v


if __name__ == "__main__":
    A_       						=							int(input("Enter number of vertices: "))
    A_       						=							int(input("Enter number of edges: "))

    A_       						=							[[float("inf") for i in range(v)] for j in range(v)]

    for i in range(v):
        A_       						=							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)
        A_       						=							int(input("Enter source:"))
        A_       						=							int(input("Enter destination:"))
        A_       						=							float(input("Enter weight:"))
        A_       						=							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









'''simple docstring'''

import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
A_       						=							[
    "kernels/rwkv/wkv_cuda.cu",
    "kernels/rwkv/wkv_op.cpp",
    "kernels/deformable_detr/ms_deform_attn.h",
    "kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh",
    "models/graphormer/algos_graphormer.pyx",
]





def    A_  ( snake_case ):
  # Test all the extensions added in the setup
  for file in FILES_TO_FIND:
    if not (transformers_path / file).exists():
      return False
  return True


if __name__ == "__main__":
    A_       						=							argparse.ArgumentParser()
    parser.add_argument("--check_lib", action="store_true", help="Whether to check the build or the actual package.")
    A_       						=							parser.parse_args()
    if args.check_lib:
        A_       						=							importlib.import_module("transformers")
        A_       						=							Path(transformers_module.__file__).parent
    else:
        A_       						=							Path.cwd() / "build/lib/transformers"
    if not test_custom_files_are_present(transformers_path):
        raise ValueError("The built release does not contain the custom files. Fix this before going further!")






