"""simple docstring"""


from typing import TYPE_CHECKING

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


UpperCAmelCase_:					Union[str, Any]     =					{"configuration_deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig", "DeiTOnnxConfig"]}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase_:					str     =					["DeiTFeatureExtractor"]
 UpperCAmelCase_:					Optional[int]     =					["DeiTImageProcessor"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase_:					Tuple     =					[
     "DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "DeiTForImageClassification",
     "DeiTForImageClassificationWithTeacher",
     "DeiTForMaskedImageModeling",
     "DeiTModel",
     "DeiTPreTrainedModel",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase_:					Union[str, Any]     =					[
     "TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "TFDeiTForImageClassification",
     "TFDeiTForImageClassificationWithTeacher",
     "TFDeiTForMaskedImageModeling",
     "TFDeiTModel",
     "TFDeiTPreTrainedModel",
 ]


if TYPE_CHECKING:
 from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig, DeiTOnnxConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_deit import DeiTFeatureExtractor
  from .image_processing_deit import DeiTImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_deit import (
      DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      DeiTForImageClassification,
      DeiTForImageClassificationWithTeacher,
      DeiTForMaskedImageModeling,
      DeiTModel,
      DeiTPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_deit import (
      TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFDeiTForImageClassification,
      TFDeiTForImageClassificationWithTeacher,
      TFDeiTForMaskedImageModeling,
      TFDeiTModel,
      TFDeiTPreTrainedModel,
  )


else:
 import sys

 UpperCAmelCase_:					Optional[int]     =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





"""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 	snake_case__	(     self  ):
        '''simple docstring'''



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

                  lowercase__				 =							FlaxAutoModel.from_pretrained(_UpperCAmelCase  )
                  self.assertIsNotNone(_UpperCAmelCase  )
                  self.assertIsInstance(_UpperCAmelCase,				_UpperCAmelCase  )


   @slow
   def 	snake_case__	(     self  ):
        '''simple docstring'''



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

                  lowercase__				 =							FlaxAutoModel.from_pretrained(_UpperCAmelCase  )
                  self.assertIsNotNone(_UpperCAmelCase  )
                  self.assertIsInstance(_UpperCAmelCase,				_UpperCAmelCase  )


   @slow
   def 	snake_case__	(     self  ):
        '''simple docstring'''



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

             @jax.jit
             def eval(**_UpperCAmelCase  ):
                  return model(**_UpperCAmelCase  )

             eval(**_UpperCAmelCase  ).block_until_ready()


   @slow
   def 	snake_case__	(     self  ):
        '''simple docstring'''



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

             @jax.jit
             def eval(**_UpperCAmelCase  ):
                  return model(**_UpperCAmelCase  )

             eval(**_UpperCAmelCase  ).block_until_ready()


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        with self.assertRaisesRegex(
            _UpperCAmelCase,				"bert-base is not a local folder and is not a valid model identifier"  ):
             lowercase__				 =							FlaxAutoModel.from_pretrained("bert-base"  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



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


   def 	snake_case__	(     self  ):
        '''simple docstring'''



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


   def 	snake_case__	(     self  ):
        '''simple docstring'''



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




