"""simple docstring"""

import os
import sys
import unittest


UpperCAmelCase       =  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       =  os.path.join(git_repo_path, """src""", """transformers""")

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

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


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







class      UpperCAmelCase_       (						unittest.TestCase):






							def       _UpperCamelCase			(		self :      Tuple  )       ->       List[str]:
												_UpperCamelCase      						=	find_backend('''    _import_structure["models.albert"].append("AlbertTokenizerFast")'''  )
												self.assertIsNone(__lowerCamelCase  )

												_UpperCamelCase      						=	find_backend('''    if not is_tokenizers_available():'''  )
												self.assertEqual(__lowerCamelCase     ,						'''tokenizers'''  )

												_UpperCamelCase      						=	find_backend('''    if not is_tensorflow_text_available():'''  )
												self.assertEqual(__lowerCamelCase     ,						'''tensorflow_text'''  )

												_UpperCamelCase      						=	find_backend('''    if not (is_sentencepiece_available() and is_tokenizers_available()):'''  )
												self.assertEqual(__lowerCamelCase     ,						'''sentencepiece_and_tokenizers'''  )

												_UpperCamelCase      						=	find_backend(
												    '''    if not (is_sentencepiece_available() and is_tensorflow_text_available()):'''  )
												self.assertEqual(__lowerCamelCase     ,						'''sentencepiece_and_tensorflow_text'''  )

												_UpperCamelCase      						=	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]  )       ->       str:
												_UpperCamelCase      						=	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 :      Union[str, Any]  )       ->       List[Any]:
												_UpperCamelCase      						=	create_dummy_object('''CONSTANT'''     ,						'''\'torch\''''  )
												self.assertEqual(__lowerCamelCase     ,						'''\nCONSTANT = None\n'''  )

												_UpperCamelCase      						=	create_dummy_object('''function'''     ,						'''\'torch\''''  )
												self.assertEqual(
												    __lowerCamelCase     ,						'''\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'''  )

												_UpperCamelCase      						=	'''
class FakeClass(metaclass=DummyObject):
    _backends = \'torch\'

    def __init__(self, *args, **kwargs):
        requires_backends(self, \'torch\')
'''
												_UpperCamelCase      						=	create_dummy_object('''FakeClass'''     ,						'''\'torch\''''  )
												self.assertEqual(__lowerCamelCase     ,						__lowerCamelCase  )






							def       _UpperCamelCase			(		self :      str  )       ->       str:
												_UpperCamelCase      						=	'''# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends


CONSTANT = None


def function(*args, **kwargs):
    requires_backends(function, ["torch"])


class FakeClass(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])
'''
												_UpperCamelCase      						=	create_dummy_files({'''torch''': ['''CONSTANT''', '''function''', '''FakeClass''']}  )
												self.assertEqual(dummy_files['''torch''']     ,						__lowerCamelCase  )







from ..utils import DummyObject, requires_backends




class     SCREAMING_SNAKE_CASE__ (						metaclass=UpperCamelCase__      ):
 __SCREAMING_SNAKE_CASE							       =	['''keras_nlp''']



 def __init__(							self,*__lowerCamelCase,**__lowerCamelCase ):
        requires_backends(self,['''keras_nlp'''] )





