




'''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     A					(	unittest.TestCase					):







							@slow
							def      __lowerCAmelCase    (						self :						int      )    ->							int:


														"""simple docstring"""


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

																												_a			  =       FlaxAutoModel.from_pretrained(lowerCAmelCase_      )
																												self.assertIsNotNone(lowerCAmelCase_      )
																												self.assertIsInstance(lowerCAmelCase_							,    lowerCAmelCase_      )







							@slow
							def      __lowerCAmelCase    (						self :						List[str]      )    ->							Union[str, Any]:


														"""simple docstring"""


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

																												_a			  =       FlaxAutoModel.from_pretrained(lowerCAmelCase_      )
																												self.assertIsNotNone(lowerCAmelCase_      )
																												self.assertIsInstance(lowerCAmelCase_							,    lowerCAmelCase_      )







							@slow
							def      __lowerCAmelCase    (						self :						str      )    ->							Union[str, Any]:


														"""simple docstring"""


														for model_name in ["bert-base-cased", "bert-large-uncased"]:
																					_a			  =       AutoTokenizer.from_pretrained(lowerCAmelCase_      )
																					_a			  =       FlaxBertModel.from_pretrained(lowerCAmelCase_      )
																					_a			  =       tokenizer('''Do you support jax jitted function?'''							,    return_tensors=TensorType.JAX      )

																					@jax.jit
																					def eval(**lowerCAmelCase_ :						Optional[Any]      ):
																												return model(**lowerCAmelCase_      )

																					eval(**lowerCAmelCase_      ).block_until_ready()







							@slow
							def      __lowerCAmelCase    (						self :						Dict      )    ->							Dict:


														"""simple docstring"""


														for model_name in ["roberta-base", "roberta-large"]:
																					_a			  =       AutoTokenizer.from_pretrained(lowerCAmelCase_      )
																					_a			  =       FlaxRobertaModel.from_pretrained(lowerCAmelCase_      )
																					_a			  =       tokenizer('''Do you support jax jitted function?'''							,    return_tensors=TensorType.JAX      )

																					@jax.jit
																					def eval(**lowerCAmelCase_ :						List[Any]      ):
																												return model(**lowerCAmelCase_      )

																					eval(**lowerCAmelCase_      ).block_until_ready()







							def      __lowerCAmelCase    (						self :						Union[str, Any]      )    ->							Tuple:


														"""simple docstring"""


														with self.assertRaisesRegex(
														    lowerCAmelCase_							,    '''bert-base is not a local folder and is not a valid model identifier'''      ):
																					_a			  =       FlaxAutoModel.from_pretrained('''bert-base'''      )







							def      __lowerCAmelCase    (						self :						Any      )    ->							Union[str, Any]:


														"""simple docstring"""


														with self.assertRaisesRegex(
														    lowerCAmelCase_							,    R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''      ):
																					_a			  =       FlaxAutoModel.from_pretrained(lowerCAmelCase_							,    revision='''aaaaaa'''      )







							def      __lowerCAmelCase    (						self :						Dict      )    ->							Optional[int]:


														"""simple docstring"""


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







							def      __lowerCAmelCase    (						self :						Any      )    ->							Dict:


														"""simple docstring"""


														with self.assertRaisesRegex(lowerCAmelCase_							,    '''Use `from_pt=True` to load this model'''      ):
																					_a			  =       FlaxAutoModel.from_pretrained('''hf-internal-testing/tiny-bert-pt-only'''      )







'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_torch_available,
    is_vision_available,
)


_snake_case   :   List[Any]     							=	{'configuration_beit': ['BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BeitConfig', 'BeitOnnxConfig']}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_snake_case   :   Any     							=	['BeitFeatureExtractor']
				_snake_case   :   Any     							=	['BeitImageProcessor']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_snake_case   :   List[str]     							=	[
				    'BEIT_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'BeitForImageClassification',
				    'BeitForMaskedImageModeling',
				    'BeitForSemanticSegmentation',
				    'BeitModel',
				    'BeitPreTrainedModel',
				]


try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_snake_case   :   List[str]     							=	[
				    'FlaxBeitForImageClassification',
				    'FlaxBeitForMaskedImageModeling',
				    'FlaxBeitModel',
				    'FlaxBeitPreTrainedModel',
				]

if TYPE_CHECKING:
				from .configuration_beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig, BeitOnnxConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_beit import BeitFeatureExtractor
								from .image_processing_beit import BeitImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_beit import (
								    BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    BeitForImageClassification,
								    BeitForMaskedImageModeling,
								    BeitForSemanticSegmentation,
								    BeitModel,
								    BeitPreTrainedModel,
								)

				try:
								if not is_flax_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_flax_beit import (
								    FlaxBeitForImageClassification,
								    FlaxBeitForMaskedImageModeling,
								    FlaxBeitModel,
								    FlaxBeitPreTrainedModel,
								)


else:
				import sys

				_snake_case   :   Union[str, Any]     							=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

