




"""simple docstring"""



def  _snake_case     (    UpperCAmelCase_  :					str = "The quick brown fox jumps over the lazy dog"					,   ):
     A__										=  set()

     # Replace all the whitespace in our sentence
     A__										=  input_str.replace(""" """					,   """"""			)
     for alpha in input_str:
          if "a" <= alpha.lower() <= "z":
               frequency.add(alpha.lower()			)
     return len(UpperCAmelCase_			) == 26





def  _snake_case     (    UpperCAmelCase_  :					str = "The quick brown fox jumps over the lazy dog"					,   ):
     A__										=  [False] * 26
     for char in input_str:
          if char.islower():
               A__										=  True
          elif char.isupper():
               A__										=  True
     return all(UpperCAmelCase_			)





def  _snake_case     (    UpperCAmelCase_  :					str = "The quick brown fox jumps over the lazy dog"					,   ):
     return len({char for char in input_str.lower() if char.isalpha()}			) == 26





def  _snake_case     (    ):
     from timeit import timeit

     A__										=  """from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"""
     print(timeit("""is_pangram()"""					,   setup=UpperCAmelCase_			)			)
     print(timeit("""is_pangram_faster()"""					,   setup=UpperCAmelCase_			)			)
     print(timeit("""is_pangram_fastest()"""					,   setup=UpperCAmelCase_			)			)
     # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
     # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 benchmark()









"""simple docstring"""



def  _snake_case     (    UpperCAmelCase_  :					List[str]			):
     A__										=  [0] * len(UpperCAmelCase_			)
     A__										=  []
     A__										=  [1] * len(UpperCAmelCase_			)

     for values in graph.values():
          for i in values:
               indegree[i] += 1

     for i in range(len(UpperCAmelCase_			)			):
          if indegree[i] == 0:
               queue.append(UpperCAmelCase_			)

     while queue:
          A__										=  queue.pop(0			)
          for x in graph[vertex]:
               indegree[x] -= 1

               if long_dist[vertex] + 1 > long_dist[x]:
                    A__										=  long_dist[vertex] + 1

               if indegree[x] == 0:
                    queue.append(UpperCAmelCase_			)

     print(max(UpperCAmelCase_			)			)


# Adjacency list of Graph
SCREAMING_SNAKE_CASE_					:	Any							  =						{0: [2, 3, 4], 1: [2, 7], 2: [5], 3: [5, 7], 4: [7], 5: [6], 6: [7], 7: []}

longest_distance(graph)






