



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):




		'''simple docstring'''



		@slow
		def 	lowerCAmelCase__   (self				)  ->    List[Any]:

						"""simple docstring"""






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

														lowerCAmelCase__  :       Optional[Any]				=  FlaxAutoModel.from_pretrained(UpperCamelCase__				)
														self.assertIsNotNone(UpperCamelCase__				)
														self.assertIsInstance(UpperCamelCase__	,UpperCamelCase__				)



		@slow
		def 	lowerCAmelCase__   (self				)  ->    Optional[int]:

						"""simple docstring"""






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

														lowerCAmelCase__  :       Optional[int]				=  FlaxAutoModel.from_pretrained(UpperCamelCase__				)
														self.assertIsNotNone(UpperCamelCase__				)
														self.assertIsInstance(UpperCamelCase__	,UpperCamelCase__				)



		@slow
		def 	lowerCAmelCase__   (self				)  ->    Tuple:

						"""simple docstring"""






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

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

										eval(**UpperCamelCase__				).block_until_ready()



		@slow
		def 	lowerCAmelCase__   (self				)  ->    str:

						"""simple docstring"""






						for model_name in ["roberta-base", "roberta-large"]:
										lowerCAmelCase__  :       Any				=  AutoTokenizer.from_pretrained(UpperCamelCase__				)
										lowerCAmelCase__  :       List[str]				=  FlaxRobertaModel.from_pretrained(UpperCamelCase__				)
										lowerCAmelCase__  :       Optional[int]				=  tokenizer('''Do you support jax jitted function?'''	,return_tensors=TensorType.JAX				)

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

										eval(**UpperCamelCase__				).block_until_ready()



		def 	lowerCAmelCase__   (self				)  ->    Dict:

						"""simple docstring"""






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



		def 	lowerCAmelCase__   (self				)  ->    Optional[int]:

						"""simple docstring"""






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



		def 	lowerCAmelCase__   (self				)  ->    List[Any]:

						"""simple docstring"""






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



		def 	lowerCAmelCase__   (self				)  ->    Tuple:

						"""simple docstring"""






						with self.assertRaisesRegex(UpperCamelCase__	,'''Use `from_pt=True` to load this model'''				):
										lowerCAmelCase__  :       Optional[int]				=  FlaxAutoModel.from_pretrained('''hf-internal-testing/tiny-bert-pt-only'''				)






def 			lowerCAmelCase__	(					lowerCamelCase_	:	int):





				'''simple docstring'''

				if not isinstance(lowerCamelCase_ ,lowerCamelCase_):
								lowerCAmelCase__  :       Dict				=  f"""Input value of [number={number}] must be an integer"""
								raise TypeError(lowerCamelCase_)

				if number < 1:
								lowerCAmelCase__  :       Any				=  f"""Input value of [number={number}] must be > 0"""
								raise ValueError(lowerCamelCase_)

				lowerCAmelCase__  :       List[str]				=  1

				for i in range(1 ,lowerCamelCase_):
								current_number *= 4 * i - 2
								current_number //= i + 1

				return current_number


if __name__ == "__main__":
							import doctest

							doctest.testmod()

