





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   				=			{
    'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json',
    'YituTech/conv-bert-medium-small': (
        'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'
    ),
    'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}




class   UpperCamelCase_       (     UpperCamelCase__    ):
							lowerCamelCase_           =					"convbert"


							def __init__(							self    :List[Any]							,				__A    :List[Any]=3_0522							,				__A    :int=768							,				__A    :Dict=12							,				__A    :int=12							,				__A    :int=3072							,				__A    :Any="gelu"							,				__A    :List[str]=0.1							,				__A    :Any=0.1							,				__A    :Union[str, Any]=512							,				__A    :List[str]=2							,				__A    :Optional[int]=0.0_2							,				__A    :Union[str, Any]=1E-12							,				__A    :Tuple=1							,				__A    :Tuple=0							,				__A    :int=2							,				__A    :Union[str, Any]=768							,				__A    :int=2							,				__A    :str=9							,				__A    :Tuple=1							,				__A    :Optional[int]=None							,				**__A    :Optional[Any]							,				)   ->   int:



									"""simple docstring"""



									super().__init__(
									    pad_token_id=__A							,				bos_token_id=__A							,				eos_token_id=__A							,				**__A							,				)

									SCREAMING_SNAKE_CASE__			=      vocab_size
									SCREAMING_SNAKE_CASE__			=      hidden_size
									SCREAMING_SNAKE_CASE__			=      num_hidden_layers
									SCREAMING_SNAKE_CASE__			=      num_attention_heads
									SCREAMING_SNAKE_CASE__			=      intermediate_size
									SCREAMING_SNAKE_CASE__			=      hidden_act
									SCREAMING_SNAKE_CASE__			=      hidden_dropout_prob
									SCREAMING_SNAKE_CASE__			=      attention_probs_dropout_prob
									SCREAMING_SNAKE_CASE__			=      max_position_embeddings
									SCREAMING_SNAKE_CASE__			=      type_vocab_size
									SCREAMING_SNAKE_CASE__			=      initializer_range
									SCREAMING_SNAKE_CASE__			=      layer_norm_eps
									SCREAMING_SNAKE_CASE__			=      embedding_size
									SCREAMING_SNAKE_CASE__			=      head_ratio
									SCREAMING_SNAKE_CASE__			=      conv_kernel_size
									SCREAMING_SNAKE_CASE__			=      num_groups
									SCREAMING_SNAKE_CASE__			=      classifier_dropout




class   UpperCamelCase_       (     UpperCamelCase__    ):


							@property
							def      _snake_case  (							self    :Union[str, Any]		)   ->   Mapping[str, Mapping[int, str]]:



									"""simple docstring"""



									if self.task == "multiple-choice":
											SCREAMING_SNAKE_CASE__			=      {0: """batch""", 1: """choice""", 2: """sequence"""}
									else:
											SCREAMING_SNAKE_CASE__			=      {0: """batch""", 1: """sequence"""}
									return OrderedDict(
									    [
									        ("""input_ids""", dynamic_axis),
									        ("""attention_mask""", dynamic_axis),
									        ("""token_type_ids""", dynamic_axis),
									    ]		)






from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							Any    ):
		return {key.lstrip("""-"""    ): value for key, value in zip(unknown_args[::2]					,   unknown_args[1::2]    )}






def 				SCREAMING_SNAKE_CASE__							(       ):
		SCREAMING_SNAKE_CASE__			=      ArgumentParser(
		    """HuggingFace Datasets CLI tool"""					,   usage="""datasets-cli <command> [<args>]"""					,   allow_abbrev=UpperCamelCase__    )
		SCREAMING_SNAKE_CASE__			=      parser.add_subparsers(help="""datasets-cli command helpers"""    )
		set_verbosity_info()

		# Register commands
		ConvertCommand.register_subcommand(UpperCamelCase__    )
		EnvironmentCommand.register_subcommand(UpperCamelCase__    )
		TestCommand.register_subcommand(UpperCamelCase__    )
		RunBeamCommand.register_subcommand(UpperCamelCase__    )
		DummyDataCommand.register_subcommand(UpperCamelCase__    )

		# Parse args
		SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      parser.parse_known_args()
		if not hasattr(UpperCamelCase__					,   """func"""    ):
				parser.print_help()
				exit(1    )
		SCREAMING_SNAKE_CASE__			=      parse_unknown_args(UpperCamelCase__    )

		# Run
		SCREAMING_SNAKE_CASE__			=      args.func(UpperCamelCase__					,   **UpperCamelCase__    )
		service.run()


if __name__ == "__main__":
	main()