






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

													UpperCamelCase_: List[Any]   				=    FlaxAutoModel.from_pretrained(_lowerCamelCase							)
													self.assertIsNotNone(_lowerCamelCase							)
													self.assertIsInstance(_lowerCamelCase  ,      _lowerCamelCase							)





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

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





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

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

											eval(**_lowerCamelCase							).block_until_ready()





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

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

											eval(**_lowerCamelCase							).block_until_ready()





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





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





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





							def       _a   ( self							):
									with self.assertRaisesRegex(_lowerCamelCase  ,      'Use `from_pt=True` to load this model'							):
											UpperCamelCase_: Union[str, Any]   				=    FlaxAutoModel.from_pretrained('hf-internal-testing/tiny-bert-pt-only'							)







def   snake_case (UpperCAmelCase__  )	->    int:
  assert isinstance(UpperCAmelCase__     ,   UpperCAmelCase__  ), F'''The input value of [n={number}] is not an integer'''

  if number == 1:
    return 2
  elif number < 1:
    UpperCamelCase_: List[Any]   				=    F'''The input value of [n={number}] has to be > 0'''
    raise ValueError(UpperCAmelCase__  )
  else:
    UpperCamelCase_: str   				=    sylvester(number - 1  )
    UpperCamelCase_: str   				=    num - 1
    UpperCamelCase_: Any   				=    num
    return lower * upper + 1


if __name__ == "__main__":
   print(F'''The 8th number in Sylvester\'s sequence: {sylvester(8)}''')