



'''simple docstring'''




import logging
import os
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


UpperCamelCase__       :	int    = {
    '''debug''': logging.DEBUG,
    '''info''': logging.INFO,
    '''warning''': logging.WARNING,
    '''error''': logging.ERROR,
    '''critical''': logging.CRITICAL,
}

UpperCamelCase__       :	Dict    = logging.WARNING


def 				lowerCAmelCase_   (	):
		__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		os.getenv("""DATASETS_VERBOSITY"""       ,      _lowerCamelCase					)
		if env_level_str:
				if env_level_str in log_levels:
						return log_levels[env_level_str]
				else:
						logging.getLogger().warning(
						    F"Unknown option DATASETS_VERBOSITY={env_level_str}, "
						    F"has to be one of: { ', '.join(log_levels.keys()					) }"					)
		return _default_log_level


def 				lowerCAmelCase_   (	):
		return __name__.split("""."""					)[0]


def 				lowerCAmelCase_   (	):
		return logging.getLogger(_get_library_name()					)


def 				lowerCAmelCase_   (	):
		# Apply our default configuration to the library root logger.
		__SCREAMING_SNAKE_CASE       :		Any           =		_get_library_root_logger()
		library_root_logger.setLevel(_get_default_logging_level()					)


def 				lowerCAmelCase_   (	):
		__SCREAMING_SNAKE_CASE       :		List[Any]           =		_get_library_root_logger()
		library_root_logger.setLevel(logging.NOTSET					)


def 				lowerCAmelCase_   (	_lowerCamelCase:   List[Any] = None					):
		if name is None:
				__SCREAMING_SNAKE_CASE       :		List[str]           =		_get_library_name()
		return logging.getLogger(_lowerCamelCase					)


def 				lowerCAmelCase_   (	):
		return _get_library_root_logger().getEffectiveLevel()


def 				lowerCAmelCase_   (	_lowerCamelCase:   Dict					):
		_get_library_root_logger().setLevel(_lowerCamelCase					)


def 				lowerCAmelCase_   (	):
		return set_verbosity(_lowerCamelCase					)


def 				lowerCAmelCase_   (	):
		return set_verbosity(_lowerCamelCase					)


def 				lowerCAmelCase_   (	):
		return set_verbosity(_lowerCamelCase					)


def 				lowerCAmelCase_   (	):
		return set_verbosity(_lowerCamelCase					)


def 				lowerCAmelCase_   (	):
		__SCREAMING_SNAKE_CASE       :		List[str]           =		False


def 				lowerCAmelCase_   (	):
		__SCREAMING_SNAKE_CASE       :		List[Any]           =		True


# Configure the library root logger at the module level (singleton-like)
_configure_library_root_logger()






class 						_UpperCamelCase  :


			'''simple docstring'''

			def __init__(							self     : List[Any]							,     *lowerCAmelCase__     : Union[str, Any]							,     **lowerCAmelCase__     : List[Any]						):  # pylint: disable=unused-argument





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Dict           =		args[0] if args else None

			def __iter__(							self     : int						):





					"""simple docstring"""






					return iter(self._iterator						)

			def __getattr__(							self     : Any							,     lowerCAmelCase__     : Optional[int]						):





					"""simple docstring"""






					def empty_fn(*lowerCAmelCase__     : List[str]							,     **lowerCAmelCase__     : Optional[Any]						):  # pylint: disable=unused-argument
							return

					return empty_fn

			def __enter__(							self     : Optional[Any]						):





					"""simple docstring"""






					return self



			def __exit__(							self     : str							,     lowerCAmelCase__     : Tuple							,     lowerCAmelCase__     : Any							,     lowerCAmelCase__     : Optional[Any]						):





					"""simple docstring"""






					return
UpperCamelCase__       :	Dict    = True






class 						_UpperCamelCase  :


			'''simple docstring'''

			def __call__(							self     : List[str]							,     *lowerCAmelCase__     : str							,     lowerCAmelCase__     : Tuple=False							,     **lowerCAmelCase__     : Union[str, Any]						):





					"""simple docstring"""






					if _tqdm_active and not disable:
							return tqdm_lib.tqdm(*lowerCAmelCase__							,     **lowerCAmelCase__						)
					else:
							return EmptyTqdm(*lowerCAmelCase__							,     **lowerCAmelCase__						)

			def UpperCamelCase__					(							self     : Optional[Any]							,     *lowerCAmelCase__     : Any							,     **lowerCAmelCase__     : Optional[Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		None
					if _tqdm_active:
							return tqdm_lib.tqdm.set_lock(*lowerCAmelCase__							,     **lowerCAmelCase__						)



			def UpperCamelCase__					(							self     : List[str]						):





					"""simple docstring"""






					if _tqdm_active:
							return tqdm_lib.tqdm.get_lock()
UpperCamelCase__       :	Optional[int]    = _tqdm_cls()


def 				lowerCAmelCase_   (	):
		global _tqdm_active
		return bool(_tqdm_active					)


def 				lowerCAmelCase_   (	):
		global _tqdm_active
		__SCREAMING_SNAKE_CASE       :		List[str]           =		True


def 				lowerCAmelCase_   (	):
		global _tqdm_active
		__SCREAMING_SNAKE_CASE       :		List[str]           =		False



__lowerCAmelCase		       =							{
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}




def    snake_case_     (  snake_case			,							snake_case			,							snake_case     )  ->				list[str]:
       lowercase__:   int  			=   set()
       # keep track of all the paths to be checked
       lowercase__:   Optional[int]  			=   [[start]]

       # return path if start is goal
       if start == goal:
              return [start]

       # keeps looping until all possible paths have been checked
       while queue:
              # pop the first path from the queue
              lowercase__:   List[Any]  			=   queue.pop(0     )
              # get the last node from the path
              lowercase__:   Optional[int]  			=   path[-1]
              if node not in explored:
                     lowercase__:   Optional[Any]  			=   graph[node]
                     # go through all neighbour nodes, construct a new path and
                     # push it into the queue
                     for neighbour in neighbours:
                            lowercase__:   Tuple  			=   list(snake_case     )
                            new_path.append(snake_case     )
                            queue.append(snake_case     )
                            # return path if neighbour is goal
                            if neighbour == goal:
                                   return new_path

            # mark node as explored
                     explored.add(snake_case     )

    # in case there's no path between the 2 nodes
       return []




def    snake_case_     (  snake_case			,							snake_case			,							snake_case     )  ->				int:
       if not graph or start not in graph or target not in graph:
              return -1
       if start == target:
              return 0
       lowercase__:   Tuple  			=   [start]
       lowercase__:   List[Any]  			=   set(snake_case     )
       # Keep tab on distances from `start` node.
       lowercase__:   Tuple  			=   {start: 0, target: -1}
       while queue:
              lowercase__:   Dict  			=   queue.pop(0     )
              if node == target:
                     lowercase__:   str  			=   (
                         dist[node] if dist[target] == -1 else min(dist[target]			,							dist[node]     )
                     )
              for adjacent in graph[node]:
                     if adjacent not in visited:
                            visited.add(snake_case     )
                            queue.append(snake_case     )
                            lowercase__:   List[str]  			=   dist[node] + 1
       return dist[target]


if __name__ == "__main__":
 print(bfs_shortest_path(demo_graph, '''G''', '''D'''))  # returns ['G', 'C', 'A', 'B', 'D']
 print(bfs_shortest_path_distance(demo_graph, '''G''', '''D'''))  # returns 4


