



"""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 )			->    List[Any]:







								'''simple docstring'''

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

																				snake_case_ :			str            =      FlaxAutoModel.from_pretrained(_lowercase )
																				self.assertIsNotNone(_lowercase )
																				self.assertIsInstance(_lowercase				,     _lowercase )





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







								'''simple docstring'''

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

																				snake_case_ :			Dict            =      FlaxAutoModel.from_pretrained(_lowercase )
																				self.assertIsNotNone(_lowercase )
																				self.assertIsInstance(_lowercase				,     _lowercase )





		@slow
		def  UpperCAmelCase__				(       self )			->    int:







								'''simple docstring'''

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

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

														eval(**_lowercase ).block_until_ready()





		@slow
		def  UpperCAmelCase__				(       self )			->    List[str]:







								'''simple docstring'''

								for model_name in ["roberta-base", "roberta-large"]:
														snake_case_ :			Any            =      AutoTokenizer.from_pretrained(_lowercase )
														snake_case_ :			Tuple            =      FlaxRobertaModel.from_pretrained(_lowercase )
														snake_case_ :			Union[str, Any]            =      tokenizer("""Do you support jax jitted function?"""				,     return_tensors=TensorType.JAX )

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

														eval(**_lowercase ).block_until_ready()





		def  UpperCAmelCase__				(       self )			->    str:







								'''simple docstring'''

								with self.assertRaisesRegex(
								    _lowercase				,     """bert-base is not a local folder and is not a valid model identifier""" ):
														snake_case_ :			Optional[int]            =      FlaxAutoModel.from_pretrained("""bert-base""" )





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







								'''simple docstring'''

								with self.assertRaisesRegex(
								    _lowercase				,     R"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)""" ):
														snake_case_ :			List[Any]            =      FlaxAutoModel.from_pretrained(_lowercase				,     revision="""aaaaaa""" )





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







								'''simple docstring'''

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





		def  UpperCAmelCase__				(       self )			->    Dict:







								'''simple docstring'''

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


import argparse
import os
import re


_lowercase:	Optional[Any]       			=		'''src/transformers/models/auto'''


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
_lowercase:	Union[str, Any]       			=		re.compile(R'''[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict''')
# re pattern that matches identifiers in mappings
_lowercase:	Optional[Any]       			=		re.compile(R'''\s*\(\s*"(\S[^"]+)"''')






def _lowerCamelCase  (		snake_case     , snake_case = False  ):
							with open(snake_case     , 'r'     , encoding='utf-8'  ) as f:
														_lowerCAmelCase							=							f.read()

							_lowerCAmelCase							=							content.split('\n'  )
							_lowerCAmelCase							=							[]
							_lowerCAmelCase							=							0
							while line_idx < len(snake_case  ):
														if _re_intro_mapping.search(lines[line_idx]  ) is not None:
																					_lowerCAmelCase							=							len(re.search(R'^(\s*)\S'     , lines[line_idx]  ).groups()[0]  ) + 8
																					# Start of a new mapping!
																					while not lines[line_idx].startswith(' ' * indent + '('  ):
																												new_lines.append(lines[line_idx]  )
																												line_idx += 1

																					_lowerCAmelCase							=							[]
																					while lines[line_idx].strip() != "]":
																												# Blocks either fit in one line or not
																												if lines[line_idx].strip() == "(":
																																			_lowerCAmelCase							=							line_idx
																																			while not lines[line_idx].startswith(' ' * indent + ')'  ):
																																										line_idx += 1
																																			blocks.append('\n'.join(lines[start_idx : line_idx + 1]  )  )
																												else:
																																			blocks.append(lines[line_idx]  )
																												line_idx += 1

																					# Sort blocks by their identifiers
																					_lowerCAmelCase							=							sorted(snake_case     , key=lambda snake_case  : _re_identifier.search(snake_case  ).groups()[0]  )
																					new_lines += blocks
														else:
																					new_lines.append(lines[line_idx]  )
																					line_idx += 1

							if overwrite:
														with open(snake_case     , 'w'     , encoding='utf-8'  ) as f:
																					f.write('\n'.join(snake_case  )  )
							elif "\n".join(snake_case  ) != content:
														return True






def _lowerCamelCase  (		snake_case = False  ):
							_lowerCAmelCase							=							[os.path.join(snake_case     , snake_case  ) for f in os.listdir(snake_case  ) if f.endswith('.py'  )]
							_lowerCAmelCase							=							[sort_auto_mapping(snake_case     , overwrite=snake_case  ) for fname in fnames]

							if not overwrite and any(snake_case  ):
														_lowerCAmelCase							=							[f for f, d in zip(snake_case     , snake_case  ) if d]
														raise ValueError(
														    F'The following files have auto mappings that need sorting: {", ".join(snake_case  )}. Run `make style` to fix'
														    ' this.'  )


if __name__ == "__main__":
				_lowercase:	Any       			=		argparse.ArgumentParser()
				parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
				_lowercase:	Tuple       			=		parser.parse_args()

				sort_all_auto_mappings(not args.check_only)






