



'''simple docstring'''




import unittest

from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow


if is_flax_available():
						import jax

						from transformers.models.auto.modeling_flax_auto import FlaxAutoModel
						from transformers.models.bert.modeling_flax_bert import FlaxBertModel
						from transformers.models.roberta.modeling_flax_roberta import FlaxRobertaModel






@require_flax
class 		_UpperCamelCase						(							unittest.TestCase					):


			'''simple docstring'''

			@slow
			def UpperCamelCase__      (							self  :				int		):





					"""simple docstring"""






					for model_name in ["bert-base-cased", "bert-large-uncased"]:
							with self.subTest(__A		):
									__SCREAMING_SNAKE_CASE :	List[Any]					 =	AutoConfig.from_pretrained(__A		)
									self.assertIsNotNone(__A		)
									self.assertIsInstance(__A							,  __A		)

									__SCREAMING_SNAKE_CASE :	Dict					 =	FlaxAutoModel.from_pretrained(__A		)
									self.assertIsNotNone(__A		)
									self.assertIsInstance(__A							,  __A		)

			@slow
			def UpperCamelCase__      (							self  :				Any		):





					"""simple docstring"""






					for model_name in ["roberta-base", "roberta-large"]:
							with self.subTest(__A		):
									__SCREAMING_SNAKE_CASE :	Any					 =	AutoConfig.from_pretrained(__A		)
									self.assertIsNotNone(__A		)
									self.assertIsInstance(__A							,  __A		)

									__SCREAMING_SNAKE_CASE :	Any					 =	FlaxAutoModel.from_pretrained(__A		)
									self.assertIsNotNone(__A		)
									self.assertIsInstance(__A							,  __A		)

			@slow
			def UpperCamelCase__      (							self  :				List[Any]		):





					"""simple docstring"""






					for model_name in ["bert-base-cased", "bert-large-uncased"]:
							__SCREAMING_SNAKE_CASE :	List[Any]					 =	AutoTokenizer.from_pretrained(__A		)
							__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	FlaxBertModel.from_pretrained(__A		)
							__SCREAMING_SNAKE_CASE :	int					 =	tokenizer("""Do you support jax jitted function?"""							,  return_tensors=TensorType.JAX		)

							@jax.jit
							def eval(**lowerCAmelCase__  :				str		):
									return model(**__A		)

							eval(**__A		).block_until_ready()

			@slow
			def UpperCamelCase__      (							self  :				Optional[Any]		):





					"""simple docstring"""






					for model_name in ["roberta-base", "roberta-large"]:
							__SCREAMING_SNAKE_CASE :	Tuple					 =	AutoTokenizer.from_pretrained(__A		)
							__SCREAMING_SNAKE_CASE :	List[Any]					 =	FlaxRobertaModel.from_pretrained(__A		)
							__SCREAMING_SNAKE_CASE :	Any					 =	tokenizer("""Do you support jax jitted function?"""							,  return_tensors=TensorType.JAX		)

							@jax.jit
							def eval(**lowerCAmelCase__  :				int		):
									return model(**__A		)

							eval(**__A		).block_until_ready()

			def UpperCamelCase__      (							self  :				int		):





					"""simple docstring"""






					with self.assertRaisesRegex(
					    __A							,  """bert-base is not a local folder and is not a valid model identifier"""		):
							__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	FlaxAutoModel.from_pretrained("""bert-base"""		)

			def UpperCamelCase__      (							self  :				Dict		):





					"""simple docstring"""






					with self.assertRaisesRegex(
					    __A							,  r"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""		):
							__SCREAMING_SNAKE_CASE :	Optional[int]					 =	FlaxAutoModel.from_pretrained(__A							,  revision="""aaaaaa"""		)

			def UpperCamelCase__      (							self  :				Optional[Any]		):





					"""simple docstring"""






					with self.assertRaisesRegex(
					    __A							,  """hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack"""							,  ):
							__SCREAMING_SNAKE_CASE :	str					 =	FlaxAutoModel.from_pretrained("""hf-internal-testing/config-no-model"""		)



			def UpperCamelCase__      (							self  :				Tuple		):





					"""simple docstring"""






					with self.assertRaisesRegex(__A							,  """Use `from_pt=True` to load this model"""		):
							__SCREAMING_SNAKE_CASE :	List[str]					 =	FlaxAutoModel.from_pretrained("""hf-internal-testing/tiny-bert-pt-only"""		)










'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase__ :			Optional[int]												=				{'''configuration_wavlm''': ['''WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''WavLMConfig''']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__ :			Tuple												=				[
						    '''WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''WavLMForAudioFrameClassification''',
						    '''WavLMForCTC''',
						    '''WavLMForSequenceClassification''',
						    '''WavLMForXVector''',
						    '''WavLMModel''',
						    '''WavLMPreTrainedModel''',
						]

if TYPE_CHECKING:
						from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_wavlm import (
												    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
												    WavLMForAudioFrameClassification,
												    WavLMForCTC,
												    WavLMForSequenceClassification,
												    WavLMForXVector,
												    WavLMModel,
												    WavLMPreTrainedModel,
												)

else:
						import sys

						UpperCamelCase__ :			List[str]												=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)