





'''simple docstring'''







import itertools
import os
import re


_a   :					Any           =       re.compile(r"""([A-Z]+)([A-Z][a-z])""")
_a   :					Union[str, Any]           =       re.compile(r"""([a-z\d])([A-Z])""")

_a   :					int           =       re.compile(r"""(?<!_)_(?!_)""")
_a   :					int           =       re.compile(r"""(_{2,})""")

_a   :					Dict           =       r'''^\w+(\.\w+)*$'''

_a   :					Optional[Any]           =       r'''<>:/\|?*'''





def   _lowerCAmelCase		(		lowercase      )   ->   List[str]:
			__lowerCAmelCase   		=							_uppercase_uppercase_re.sub(R"""\1_\2"""   ,      UpperCamelCase_      )
			__lowerCAmelCase   		=							_lowercase_uppercase_re.sub(R"""\1_\2"""   ,      UpperCamelCase_      )
			return name.lower()





def   _lowerCAmelCase		(		lowercase      )   ->   str:
			__lowerCAmelCase   		=							_single_underscore_re.split(UpperCamelCase_      )
			__lowerCAmelCase   		=							[_multiple_underscores_re.split(UpperCamelCase_      ) for n in name]
			return "".join(n.capitalize() for n in itertools.chain.from_iterable(UpperCamelCase_      ) if n != """"""      )





def   _lowerCAmelCase		(		lowercase      )   ->   str:
			if os.path.basename(UpperCamelCase_      ) != name:
						raise ValueError(f'Should be a dataset name, not a path: {name}'      )
			return camelcase_to_snakecase(UpperCamelCase_      )





def   _lowerCAmelCase		(		lowercase   ,      lowercase      )   ->   int:
			if os.path.basename(UpperCamelCase_      ) != name:
						raise ValueError(f'Should be a dataset name, not a path: {name}'      )
			if not re.match(_split_re   ,      UpperCamelCase_      ):
						raise ValueError(f'Split name should match \'{_split_re}\'\' but got \'{split}\'.'      )
			return f'{filename_prefix_for_name(UpperCamelCase_      )}-{split}'





def   _lowerCAmelCase		(		lowercase   ,      lowercase   ,      lowercase   ,      lowercase=None      )   ->   Tuple:
			__lowerCAmelCase   		=							filename_prefix_for_split(UpperCamelCase_   ,      UpperCamelCase_      )
			if filetype_suffix:
						prefix += f'.{filetype_suffix}'
			__lowerCAmelCase   		=							os.path.join(UpperCamelCase_   ,      UpperCamelCase_      )
			return f'{filepath}*'







def   _lowerCAmelCase		(		lowercase   ,      lowercase   ,      lowercase   ,      lowercase=None   ,      lowercase=None      )   ->   Optional[Any]:
			__lowerCAmelCase   		=							filename_prefix_for_split(UpperCamelCase_   ,      UpperCamelCase_      )
			__lowerCAmelCase   		=							os.path.join(UpperCamelCase_   ,      UpperCamelCase_      )

			if shard_lengths:
						__lowerCAmelCase   		=							len(UpperCamelCase_      )
						__lowerCAmelCase   		=							[f'{prefix}-{shard_id:05d}-of-{num_shards:05d}' for shard_id in range(UpperCamelCase_      )]
						if filetype_suffix:
									__lowerCAmelCase   		=							[filename + f'.{filetype_suffix}' for filename in filenames]
						return filenames
			else:
						__lowerCAmelCase   		=							prefix
						if filetype_suffix:
									filename += f'.{filetype_suffix}'
						return [filename]





'''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						):

						"""simple docstring"""






						@slow
						def 				_UpperCAmelCase       (  self							:      Dict	):
													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 				_UpperCAmelCase       (  self							:      Union[str, Any]	):
													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 				_UpperCAmelCase       (  self							:      List[Any]	):
													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							:      Tuple	):
																											return model(**lowerCAmelCase	)

																				eval(**lowerCAmelCase	).block_until_ready()






						@slow
						def 				_UpperCAmelCase       (  self							:      str	):
													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							:      Any	):
																											return model(**lowerCAmelCase	)

																				eval(**lowerCAmelCase	).block_until_ready()






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





