



import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
	from transformers.pipelines.conversational import Conversation


_lowerCamelCase   				=			logging.get_logger(__name__)

_lowerCamelCase   				=			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

_lowerCamelCase   				=			{
    'tokenizer_file': {
        'EleutherAI/gpt-neox-20b': 'https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json',
    },
}

_lowerCamelCase   				=			{
    'gpt-neox-20b': 2048,
}




class   UpperCamelCase_       (     UpperCamelCase__    ):
							lowerCamelCase_           =					VOCAB_FILES_NAMES
							lowerCamelCase_           =					PRETRAINED_VOCAB_FILES_MAP
							lowerCamelCase_           =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCamelCase_           =					["input_ids", "attention_mask"]


							def __init__(							self    :str							,				__A    :Dict=None							,				__A    :Tuple=None							,				__A    :Union[str, Any]=None							,				__A    :List[Any]="<|endoftext|>"							,				__A    :int="<|endoftext|>"							,				__A    :Tuple="<|endoftext|>"							,				__A    :Optional[int]=False							,				**__A    :int							,				)   ->   Tuple:



									"""simple docstring"""



									super().__init__(
									    __A							,				__A							,				tokenizer_file=__A							,				unk_token=__A							,				bos_token=__A							,				eos_token=__A							,				add_prefix_space=__A							,				**__A							,				)

									SCREAMING_SNAKE_CASE__			=      json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
									if pre_tok_state.get("""add_prefix_space"""							,				__A		) != add_prefix_space:
											SCREAMING_SNAKE_CASE__			=      getattr(__A							,				pre_tok_state.pop("""type"""		)		)
											SCREAMING_SNAKE_CASE__			=      add_prefix_space
											SCREAMING_SNAKE_CASE__			=      pre_tok_class(**__A		)

									SCREAMING_SNAKE_CASE__			=      add_prefix_space


							def      _snake_case  (							self    :Dict							,				__A    :str							,				__A    :Optional[str] = None		)   ->   Tuple[str]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      self._tokenizer.model.save(__A							,				name=__A		)
									return tuple(__A		)


							def      _snake_case  (							self    :Optional[int]							,				__A    :"Conversation"		)   ->   List[int]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      []
									for is_user, text in conversation.iter_texts():
											input_ids.extend(self.encode(__A							,				add_special_tokens=__A		) + [self.eos_token_id]		)

									if len(__A		) > self.model_max_length:
											SCREAMING_SNAKE_CASE__			=      input_ids[-self.model_max_length :]
									return input_ids






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()