"""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 lowerCamelCase		(unittest.TestCase      ):






					'''simple docstring'''


					def 			lowerCAmelCase_					(						self			:				Optional[Any]		)							->       List[str]:
									SCREAMING_SNAKE_CASE__		  =				find_backend("    _import_structure[\"models.albert\"].append(\"AlbertTokenizerFast\")"		)
									self.assertIsNone(_snake_case		)

									SCREAMING_SNAKE_CASE__		  =				find_backend("    if not is_tokenizers_available():"		)
									self.assertEqual(_snake_case   , "tokenizers"		)

									SCREAMING_SNAKE_CASE__		  =				find_backend("    if not is_tensorflow_text_available():"		)
									self.assertEqual(_snake_case   , "tensorflow_text"		)

									SCREAMING_SNAKE_CASE__		  =				find_backend("    if not (is_sentencepiece_available() and is_tokenizers_available()):"		)
									self.assertEqual(_snake_case   , "sentencepiece_and_tokenizers"		)

									SCREAMING_SNAKE_CASE__		  =				find_backend(
									    "    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"		)
									self.assertEqual(_snake_case   , "sentencepiece_and_tensorflow_text"		)

									SCREAMING_SNAKE_CASE__		  =				find_backend(
									    "    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):"		)
									self.assertEqual(_snake_case   , "sentencepiece_and_tokenizers_and_vision"		)



					def 			lowerCAmelCase_					(						self			:				Optional[Any]		)							->       Dict:
									SCREAMING_SNAKE_CASE__		  =				read_init()
									# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
									self.assertIn("torch"   , _snake_case		)
									self.assertIn("tensorflow_text"   , _snake_case		)
									self.assertIn("sentencepiece_and_tokenizers"   , _snake_case		)

									# 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 			lowerCAmelCase_					(						self			:				Dict		)							->       Any:
									SCREAMING_SNAKE_CASE__		  =				create_dummy_object("CONSTANT"   , "'torch'"		)
									self.assertEqual(_snake_case   , "\nCONSTANT = None\n"		)

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

									SCREAMING_SNAKE_CASE__		  =				"\nclass FakeClass(metaclass=DummyObject):\n    _backends = 'torch'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, 'torch')\n"
									SCREAMING_SNAKE_CASE__		  =				create_dummy_object("FakeClass"   , "'torch'"		)
									self.assertEqual(_snake_case   , _snake_case		)



					def 			lowerCAmelCase_					(						self			:				Union[str, Any]		)							->       Optional[int]:
									SCREAMING_SNAKE_CASE__		  =				"# 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__		  =				create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}		)
									self.assertEqual(dummy_files["torch"]   , _snake_case		)





"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import _LazyModule


_A   					=    {'processing_wav2vec2_with_lm': ['Wav2Vec2ProcessorWithLM']}


if TYPE_CHECKING:
						from .processing_wavaveca_with_lm import WavaVecaProcessorWithLM
else:
						import sys

						_A   					=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




