
'''simple docstring'''






import os
import sys
import unittest


A			      =      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
A			      =      os.path.join(git_repo_path, 'src', 'transformers')

A			      =      '\n{0} = None\n'

A			      =      '\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n'


A			      =      '\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'




class     __snake_case		(   unittest.TestCase):
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= find_backend('    _import_structure["models.albert"].append("AlbertTokenizerFast")'      )
									self.assertIsNone(A      )

									lowerCamelCase					:			Optional[Any]									= find_backend('    if not is_tokenizers_available():'      )
									self.assertEqual(A,    'tokenizers'      )

									lowerCamelCase					:			Optional[int]									= find_backend('    if not is_tensorflow_text_available():'      )
									self.assertEqual(A,    'tensorflow_text'      )

									lowerCamelCase					:			List[Any]									= find_backend('    if not (is_sentencepiece_available() and is_tokenizers_available()):'      )
									self.assertEqual(A,    'sentencepiece_and_tokenizers'      )

									lowerCamelCase					:			Dict									= find_backend(
									    '    if not (is_sentencepiece_available() and is_tensorflow_text_available()):'      )
									self.assertEqual(A,    'sentencepiece_and_tensorflow_text'      )

									lowerCamelCase					:			Union[str, Any]									= find_backend(
									    '    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):'      )
									self.assertEqual(A,    'sentencepiece_and_tokenizers_and_vision'      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Dict									= read_init()
									# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
									self.assertIn('torch',    A      )
									self.assertIn('tensorflow_text',    A      )
									self.assertIn('sentencepiece_and_tokenizers',    A      )

									# 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      ):

									"""simple docstring"""


									lowerCamelCase					:			Any									= create_dummy_object('CONSTANT',    '\'torch\''      )
									self.assertEqual(A,    '\nCONSTANT = None\n'      )

									lowerCamelCase					:			Optional[int]									= create_dummy_object('function',    '\'torch\''      )
									self.assertEqual(
									    A,    '\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'      )

									lowerCamelCase					:			Optional[int]									= '\nclass FakeClass(metaclass=DummyObject):\n    _backends = \'torch\'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, \'torch\')\n'
									lowerCamelCase					:			Dict									= create_dummy_object('FakeClass',    '\'torch\''      )
									self.assertEqual(A,    A      )




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Tuple									= '# 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'
									lowerCamelCase					:			Union[str, Any]									= create_dummy_files({'torch': ['CONSTANT', 'function', 'FakeClass']}      )
									self.assertEqual(dummy_files['torch'],    A      )


'''simple docstring'''






A			      =      {'a': ['c', 'b'], 'b': ['d', 'e'], 'c': [], 'd': [], 'e': []}
A			      =      ['a', 'b', 'c', 'd', 'e']





def    UpperCAmelCase							(  UpperCAmelCase__							:							Union[str, Any]       ,							UpperCAmelCase__							:							Any       ,							UpperCAmelCase__							:							List[Any]):
				lowerCamelCase					:			List[Any]									= start
				# add current to visited
				visited.append(UpperCAmelCase__)
				lowerCamelCase					:			List[str]									= edges[current]
				for neighbor in neighbors:
								# if neighbor not in visited, visit
								if neighbor not in visited:
												lowerCamelCase					:			Any									= topological_sort(UpperCAmelCase__       ,							UpperCAmelCase__       ,							UpperCAmelCase__)
    # if all neighbors visited add current to sort
				sort.append(UpperCAmelCase__)
				# if all vertices haven't been visited select a new one to visit
				if len(UpperCAmelCase__) != len(UpperCAmelCase__):
								for vertice in vertices:
												if vertice not in visited:
																lowerCamelCase					:			List[str]									= topological_sort(UpperCAmelCase__       ,							UpperCAmelCase__       ,							UpperCAmelCase__)
    # return sort
				return sort


if __name__ == "__main__":
					A			      =      topological_sort('a', [], [])
					print(sort)
