"""simple docstring"""







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


_a  :  Optional[int]=				logging.get_logger(__name__)

_a  :  Union[str, Any]=				{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_a  :  List[Any]=				{
    "tokenizer_file": {
        "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json",
    },
}

_a  :  Optional[Any]=				{
    "gpt-neox-20b": 2_048,
}

class 	UpperCamelCase    (					lowercase		):
				UpperCAmelCase       :   Dict					=	VOCAB_FILES_NAMES
				UpperCAmelCase       :   Optional[Any]					=	PRETRAINED_VOCAB_FILES_MAP
				UpperCAmelCase       :   List[str]					=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCAmelCase       :   Dict					=	["""input_ids""", """attention_mask"""]



				def __init__(self       :   str			,						_A       :   Optional[Any]=None			,						_A       :   str=None			,						_A       :   Optional[Any]=None			,						_A       :   Optional[Any]="<|endoftext|>"			,						_A       :   Union[str, Any]="<|endoftext|>"			,						_A       :   Optional[int]="<|endoftext|>"			,						_A       :   Union[str, Any]=False			,						**_A       :   Dict			,						)					->			Union[str, Any]:
					super().__init__(
					    _A			,						_A			,						tokenizer_file=_A			,						unk_token=_A			,						bos_token=_A			,						eos_token=_A			,						add_prefix_space=_A			,						**_A			,						)

					__snake_case    :							List[Any]   	=				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
					if pre_tok_state.get('add_prefix_space'			,						_A) != add_prefix_space:
						__snake_case    :							Any   	=				getattr(_A			,						pre_tok_state.pop('type'))
						__snake_case    :							Optional[int]   	=				add_prefix_space
						__snake_case    :							int   	=				pre_tok_class(**_A)

					__snake_case    :							str   	=				add_prefix_space



				def       _lowercase  (self       :   List[str]			,						_A       :   str			,						_A       :   Optional[str] = None)					->			Tuple[str]:
					__snake_case    :							Union[str, Any]   	=				self._tokenizer.model.save(_A			,						name=_A)
					return tuple(_A)






				def       _lowercase  (self       :   int			,						_A       :   "Conversation")					->			List[int]:
					__snake_case    :							List[str]   	=				[]
					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:
						__snake_case    :							Tuple   	=				input_ids[-self.model_max_length :]
					return input_ids






"""simple docstring"""







from abc import ABC, abstractmethod
from argparse import ArgumentParser

class 	UpperCamelCase    (					lowercase		):



				@staticmethod
				@abstractmethod
				def       _lowercase  (_A       :   ArgumentParser)					->			Tuple:
					raise NotImplementedError()






				@abstractmethod
				def       _lowercase  (self       :   Any)					->			Optional[Any]:
					raise NotImplementedError()





