





'''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 		lowerCamelCase	(   unittest.TestCase							):



	@slow
	def 	_lowerCamelCase     ( self						):
			for model_name in ["bert-base-cased", "bert-large-uncased"]:
					with self.subTest(a__						):
							lowerCAmelCase  :     Tuple       						= AutoConfig.from_pretrained(a__						)
							self.assertIsNotNone(a__						)
							self.assertIsInstance(a__		,   a__						)

							lowerCAmelCase  :     Any       						= FlaxAutoModel.from_pretrained(a__						)
							self.assertIsNotNone(a__						)
							self.assertIsInstance(a__		,   a__						)



	@slow
	def 	_lowerCamelCase     ( self						):
			for model_name in ["roberta-base", "roberta-large"]:
					with self.subTest(a__						):
							lowerCAmelCase  :     int       						= AutoConfig.from_pretrained(a__						)
							self.assertIsNotNone(a__						)
							self.assertIsInstance(a__		,   a__						)

							lowerCAmelCase  :     Union[str, Any]       						= FlaxAutoModel.from_pretrained(a__						)
							self.assertIsNotNone(a__						)
							self.assertIsInstance(a__		,   a__						)



	@slow
	def 	_lowerCamelCase     ( self						):
			for model_name in ["bert-base-cased", "bert-large-uncased"]:
					lowerCAmelCase  :     List[str]       						= AutoTokenizer.from_pretrained(a__						)
					lowerCAmelCase  :     Optional[int]       						= FlaxBertModel.from_pretrained(a__						)
					lowerCAmelCase  :     Optional[int]       						= tokenizer("Do you support jax jitted function?"		,   return_tensors=TensorType.JAX						)

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

					eval(**a__						).block_until_ready()



	@slow
	def 	_lowerCamelCase     ( self						):
			for model_name in ["roberta-base", "roberta-large"]:
					lowerCAmelCase  :     Any       						= AutoTokenizer.from_pretrained(a__						)
					lowerCAmelCase  :     Any       						= FlaxRobertaModel.from_pretrained(a__						)
					lowerCAmelCase  :     Union[str, Any]       						= tokenizer("Do you support jax jitted function?"		,   return_tensors=TensorType.JAX						)

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

					eval(**a__						).block_until_ready()



	def 	_lowerCamelCase     ( self						):
			with self.assertRaisesRegex(
			    a__		,   "bert-base is not a local folder and is not a valid model identifier"						):
					lowerCAmelCase  :     Any       						= FlaxAutoModel.from_pretrained("bert-base"						)



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



	def 	_lowerCamelCase     ( self						):
			with self.assertRaisesRegex(
			    a__		,   "hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack"		,   ):
					lowerCAmelCase  :     List[str]       						= FlaxAutoModel.from_pretrained("hf-internal-testing/config-no-model"						)





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







from ..utils import DummyObject, requires_backends






class    _UpperCamelCase     (       metaclass=__snake_case					):

				"""simple docstring"""







				lowerCAmelCase					=			['note_seq']

				def __init__(    self					, *a__					, **a__ )						->					Optional[int]:
					requires_backends(self					, ["""note_seq"""] )

				@classmethod
				def   _UpperCAmelCase       (    cls					, *a__					, **a__ )						->					Dict:
					requires_backends(cls					, ["""note_seq"""] )

				@classmethod
				def   _UpperCAmelCase       (    cls					, *a__					, **a__ )						->					Optional[int]:
					requires_backends(cls					, ["""note_seq"""] )



