


from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase__      		= logging.get_logger(__name__)

lowerCAmelCase__      		= {
    'facebook/xlm-roberta-xl': 'https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json',
    'facebook/xlm-roberta-xxl': 'https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json',
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}







class      lowerCAmelCase__       (				a):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE  			= "xlm-roberta-xl"


     def __init__(						self ,						__lowerCamelCase=2_5_0_8_8_0 ,						__lowerCamelCase=2_5_6_0 ,						__lowerCamelCase=3_6 ,						__lowerCamelCase=3_2 ,						__lowerCamelCase=1_0_2_4_0 ,						__lowerCamelCase="gelu" ,						__lowerCamelCase=0.1 ,						__lowerCamelCase=0.1 ,						__lowerCamelCase=5_1_4 ,						__lowerCamelCase=1 ,						__lowerCamelCase=0.0_2 ,						__lowerCamelCase=1e-05 ,						__lowerCamelCase=1 ,						__lowerCamelCase=0 ,						__lowerCamelCase=2 ,						__lowerCamelCase="absolute" ,						__lowerCamelCase=True ,						__lowerCamelCase=None ,						**__lowerCamelCase ,						)			->				List[Any]:
            super().__init__(pad_token_id=__lowerCamelCase ,						bos_token_id=__lowerCamelCase ,						eos_token_id=__lowerCamelCase ,						**__lowerCamelCase)
            _A      :       Any				    = vocab_size
            _A      :       Dict				    = hidden_size
            _A      :       str				    = num_hidden_layers
            _A      :       Optional[int]				    = num_attention_heads
            _A      :       Any				    = hidden_act
            _A      :       Any				    = intermediate_size
            _A      :       Union[str, Any]				    = hidden_dropout_prob
            _A      :       List[str]				    = attention_probs_dropout_prob
            _A      :       Optional[int]				    = max_position_embeddings
            _A      :       Dict				    = type_vocab_size
            _A      :       Optional[Any]				    = initializer_range
            _A      :       int				    = layer_norm_eps
            _A      :       List[Any]				    = position_embedding_type
            _A      :       Tuple				    = use_cache
            _A      :       Union[str, Any]				    = classifier_dropout







class      lowerCAmelCase__       (				a):




     '''simple docstring'''


     @property
     def  _lowerCamelCase (						self)			->				Mapping[str, Mapping[int, str]]:
            if self.task == "multiple-choice":
                   _A      :       Dict				    = {0: "batch", 1: "choice", 2: "sequence"}
            else:
                   _A      :       Any				    = {0: "batch", 1: "sequence"}
            return OrderedDict(
                [
                    ("input_ids", dynamic_axis),
                    ("attention_mask", dynamic_axis),
                ])





'''simple docstring'''




# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse

from .config import config_command_parser
from .config_args import default_config_file, load_config_from_file  # noqa: F401
from .default import default_command_parser
from .update import update_command_parser



def 	a			( lowerCamelCase__=None    ):
			'''simple docstring'''





			A_	:						int	=     argparse.ArgumentParser(add_help=lowerCamelCase__						,      allow_abbrev=lowerCamelCase__    )
			# The main config parser
			A_	:						int	=     config_command_parser(lowerCamelCase__    )
			# The subparser to add commands to
			A_	:						int	=     config_parser.add_subparsers(title="""subcommands"""						,      dest="""subcommand"""    )

			# Then add other parsers with the parent parser
			default_command_parser(lowerCamelCase__						,      parents=[parent_parser]    )
			update_command_parser(lowerCamelCase__						,      parents=[parent_parser]    )

			return config_parser



def 	a			( ):
			'''simple docstring'''





			A_	:						Optional[int]	=     get_config_parser()
			A_	:						List[str]	=     config_parser.parse_args()

			if not hasattr(lowerCamelCase__						,      """func"""    ):
						config_parser.print_help()
						exit(1    )

			# Run
			args.func(lowerCamelCase__    )


if __name__ == "__main__":
						main()