


from __future__ import annotations

SCREAMING_SNAKE_CASE			: str				   =					{
    "A": ["B", "C", "E"],
    "B": ["A", "D", "E"],
    "C": ["A", "F", "G"],
    "D": ["B"],
    "E": ["A", "B", "D"],
    "F": ["C"],
    "G": ["C"],
}






class _lowerCamelCase:
       def __init__(   self, lowerCamelCase, lowerCamelCase)			->  None:




           """simple docstring"""

           _lowercase			:				Union[str, Any] 						=						graph
           # mapping node to its parent in resulting breadth first tree
           _lowercase			:				dict[str, str | None] 						=						{}
           _lowercase			:				Optional[int] 						=						source_vertex
       def      UpperCamelCase	(   self)			->  None:




           """simple docstring"""

           _lowercase			:				Tuple 						=						{self.source_vertex}
           _lowercase			:				Tuple 						=						None
           _lowercase			:				Tuple 						=						[self.source_vertex]  # first in first out queue

           while queue:
               _lowercase			:				Optional[int] 						=						queue.pop(0)
               for adjacent_vertex in self.graph[vertex]:
                   if adjacent_vertex not in visited:
                       visited.add(lowerCamelCase)
                       _lowercase			:				Tuple 						=						vertex
                       queue.append(lowerCamelCase)




       def      UpperCamelCase	(   self, lowerCamelCase)			->  str:




           """simple docstring"""

           if target_vertex == self.source_vertex:
               return self.source_vertex

           _lowercase			:				Tuple 						=						self.parent.get(lowerCamelCase)
           if target_vertex_parent is None:
               _lowercase			:				Union[str, Any] 						=						(
                   F'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
               )
               raise ValueError(lowerCamelCase)

           return self.shortest_path(lowerCamelCase) + F'''->{target_vertex}'''


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE			: Dict				   =					Graph(graph, "G")
 g.breath_first_search()
 print(g.shortest_path("D"))
 print(g.shortest_path("G"))
 print(g.shortest_path("Foo"))






import os

try:
 from .build_directory_md import good_file_paths
except ImportError:
 from build_directory_md import good_file_paths  # type: ignore

SCREAMING_SNAKE_CASE			: int				   =					list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

SCREAMING_SNAKE_CASE			: Dict				   =					[file for file in filepaths if file != file.lower()]
if upper_files:
 print(F"{len(upper_files)} files contain uppercase characters:")
 print("\n".join(upper_files) + "\n")

SCREAMING_SNAKE_CASE			: List[Any]				   =					[file for file in filepaths if " " in file]
if space_files:
 print(F"{len(space_files)} files contain space characters:")
 print("\n".join(space_files) + "\n")

SCREAMING_SNAKE_CASE			: Any				   =					[file for file in filepaths if "-" in file]
if hyphen_files:
 print(F"{len(hyphen_files)} files contain hyphen characters:")
 print("\n".join(hyphen_files) + "\n")

SCREAMING_SNAKE_CASE			: str				   =					[file for file in filepaths if os.sep not in file]
if nodir_files:
 print(F"{len(nodir_files)} files are not in a directory:")
 print("\n".join(nodir_files) + "\n")

SCREAMING_SNAKE_CASE			: Tuple				   =					len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
 import sys

 sys.exit(bad_files)


