


'''simple docstring'''




import argparse
import os
import re


_lowerCAmelCase  :		List[str]		     =	"src/transformers/models/auto"


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

def 			__UpperCamelCase    (    _A					,   _A = False				)    ->      Tuple:




	"""simple docstring"""





	with open(a_					,   'r'					,   encoding='utf-8'				) as f:
		lowerCAmelCase					:    Tuple      							= f.read()

	lowerCAmelCase					:    Union[str, Any]      							= content.split('\n'				)
	lowerCAmelCase					:    List[str]      							= []
	lowerCAmelCase					:    Optional[Any]      							= 0
	while line_idx < len(a_				):
		if _re_intro_mapping.search(lines[line_idx]				) is not None:
			lowerCAmelCase					:    Optional[Any]      							= 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					:    Tuple      							= []
			while lines[line_idx].strip() != "]":
				# Blocks either fit in one line or not
				if lines[line_idx].strip() == "(":
					lowerCAmelCase					:    Tuple      							= 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					:    Union[str, Any]      							= sorted(a_					,   key=lambda _A				: _re_identifier.search(a_				).groups()[0]				)
			new_lines += blocks
		else:
			new_lines.append(lines[line_idx]				)
			line_idx += 1

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

def 			__UpperCamelCase    (    _A = False				)    ->      str:




	"""simple docstring"""





	lowerCAmelCase					:    Union[str, Any]      							= [os.path.join(a_					,   a_				) for f in os.listdir(a_				) if f.endswith('.py'				)]
	lowerCAmelCase					:    List[Any]      							= [sort_auto_mapping(a_					,   overwrite=a_				) for fname in fnames]

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


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

				sort_all_auto_mappings(not args.check_only)




'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowerCAmelCase  :		Any		     =	logging.get_logger(__name__)

_lowerCAmelCase  :		List[str]		     =	{
    'xlm-roberta-base': 'https://huggingface.co/xlm-roberta-base/resolve/main/config.json',
    'xlm-roberta-large': 'https://huggingface.co/xlm-roberta-large/resolve/main/config.json',
    'xlm-roberta-large-finetuned-conll02-dutch': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll02-spanish': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll03-english': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll03-german': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json'
    ),
}



class  lowerCAmelCase				(				a							):
	_lowerCamelCase   :					List[str]			      = """xlm-roberta"""



	def __init__(					self ,					snake_case__=3_0522 ,					snake_case__=768 ,					snake_case__=12 ,					snake_case__=12 ,					snake_case__=3072 ,					snake_case__="gelu" ,					snake_case__=0.1 ,					snake_case__=0.1 ,					snake_case__=512 ,					snake_case__=2 ,					snake_case__=0.0_2 ,					snake_case__=1e-1_2 ,					snake_case__=1 ,					snake_case__=0 ,					snake_case__=2 ,					snake_case__="absolute" ,					snake_case__=True ,					snake_case__=None ,					**snake_case__ ,					):
		super().__init__(pad_token_id=snake_case__ ,					bos_token_id=snake_case__ ,					eos_token_id=snake_case__ ,					**snake_case__    )

		lowerCAmelCase					:    Optional[Any]      							= vocab_size
		lowerCAmelCase					:    Optional[Any]      							= hidden_size
		lowerCAmelCase					:    Optional[Any]      							= num_hidden_layers
		lowerCAmelCase					:    Any      							= num_attention_heads
		lowerCAmelCase					:    Optional[int]      							= hidden_act
		lowerCAmelCase					:    Optional[int]      							= intermediate_size
		lowerCAmelCase					:    Dict      							= hidden_dropout_prob
		lowerCAmelCase					:    Union[str, Any]      							= attention_probs_dropout_prob
		lowerCAmelCase					:    Optional[Any]      							= max_position_embeddings
		lowerCAmelCase					:    Optional[int]      							= type_vocab_size
		lowerCAmelCase					:    int      							= initializer_range
		lowerCAmelCase					:    List[Any]      							= layer_norm_eps
		lowerCAmelCase					:    Union[str, Any]      							= position_embedding_type
		lowerCAmelCase					:    Union[str, Any]      							= use_cache
		lowerCAmelCase					:    List[str]      							= classifier_dropout



class  lowerCAmelCase				(				a							):



	@property
	def 				lowercase     (					self    ):
		if self.task == "multiple-choice":
			lowerCAmelCase					:    str      							= {0: 'batch', 1: 'choice', 2: 'sequence'}
		else:
			lowerCAmelCase					:    Optional[int]      							= {0: 'batch', 1: 'sequence'}
		return OrderedDict(
		    [
		        ('input_ids', dynamic_axis),
		        ('attention_mask', dynamic_axis),
		    ]    )
