



'''simple docstring'''




import os
import sys
import unittest


UpperCamelCase__       :	Any    = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
UpperCamelCase__       :	int    = os.path.join(git_repo_path, '''src''', '''transformers''')

UpperCamelCase__       :	str    = '''
{0} = None
'''

UpperCamelCase__       :	str    = '''
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
'''


UpperCamelCase__       :	str    = '''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''






class 						_UpperCamelCase  (							unittest.TestCase    ):


			'''simple docstring'''

			def UpperCamelCase__					(							self     : Dict						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		List[Any]           =		find_backend("""    _import_structure[\"models.albert\"].append(\"AlbertTokenizerFast\")"""						)
					self.assertIsNone(lowerCAmelCase__						)

					__SCREAMING_SNAKE_CASE       :		Optional[int]           =		find_backend("""    if not is_tokenizers_available():"""						)
					self.assertEqual(lowerCAmelCase__							,     """tokenizers"""						)

					__SCREAMING_SNAKE_CASE       :		Dict           =		find_backend("""    if not is_tensorflow_text_available():"""						)
					self.assertEqual(lowerCAmelCase__							,     """tensorflow_text"""						)

					__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		find_backend("""    if not (is_sentencepiece_available() and is_tokenizers_available()):"""						)
					self.assertEqual(lowerCAmelCase__							,     """sentencepiece_and_tokenizers"""						)

					__SCREAMING_SNAKE_CASE       :		int           =		find_backend(
					    """    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"""						)
					self.assertEqual(lowerCAmelCase__							,     """sentencepiece_and_tensorflow_text"""						)

					__SCREAMING_SNAKE_CASE       :		Dict           =		find_backend(
					    """    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):"""						)
					self.assertEqual(lowerCAmelCase__							,     """sentencepiece_and_tokenizers_and_vision"""						)

			def UpperCamelCase__					(							self     : List[Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Optional[int]           =		read_init()
					# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
					self.assertIn("""torch"""							,     lowerCAmelCase__						)
					self.assertIn("""tensorflow_text"""							,     lowerCAmelCase__						)
					self.assertIn("""sentencepiece_and_tokenizers"""							,     lowerCAmelCase__						)

					# Likewise, we can't assert on the exact content of a key
					self.assertIn("""BertModel"""							,     objects["""torch"""]						)
					self.assertIn("""TFBertModel"""							,     objects["""tf"""]						)
					self.assertIn("""FlaxBertModel"""							,     objects["""flax"""]						)
					self.assertIn("""BertModel"""							,     objects["""torch"""]						)
					self.assertIn("""TFBertTokenizer"""							,     objects["""tensorflow_text"""]						)
					self.assertIn("""convert_slow_tokenizer"""							,     objects["""sentencepiece_and_tokenizers"""]						)

			def UpperCamelCase__					(							self     : List[Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		List[str]           =		create_dummy_object("""CONSTANT"""							,     """\'torch\'"""						)
					self.assertEqual(lowerCAmelCase__							,     """\nCONSTANT = None\n"""						)

					__SCREAMING_SNAKE_CASE       :		str           =		create_dummy_object("""function"""							,     """\'torch\'"""						)
					self.assertEqual(
					    lowerCAmelCase__							,     """\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n"""						)

					__SCREAMING_SNAKE_CASE       :		str           =		'\nclass FakeClass(metaclass=DummyObject):\n    _backends = \'torch\'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, \'torch\')\n'
					__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		create_dummy_object("""FakeClass"""							,     """\'torch\'"""						)
					self.assertEqual(lowerCAmelCase__							,     lowerCAmelCase__						)



			def UpperCamelCase__					(							self     : Optional[int]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Any           =		'# This file is autogenerated by the command `make fix-copies`, do not edit.\nfrom ..utils import DummyObject, requires_backends\n\n\nCONSTANT = None\n\n\ndef function(*args, **kwargs):\n    requires_backends(function, ["torch"])\n\n\nclass FakeClass(metaclass=DummyObject):\n    _backends = ["torch"]\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, ["torch"])\n'
					__SCREAMING_SNAKE_CASE       :		int           =		create_dummy_files({"""torch""": ["""CONSTANT""", """function""", """FakeClass"""]}						)
					self.assertEqual(dummy_files["""torch"""]							,     lowerCAmelCase__						)



__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


