

'''simple docstring'''



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

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
		from transformers.pipelines.conversational import Conversation


__snake_case			:     List[str]										=      logging.get_logger(__name__)

__snake_case			:     Optional[Any]										=      {'tokenizer_file': 'tokenizer.json'}

__snake_case			:     Union[str, Any]										=      {
    'tokenizer_file': {
        'bigscience/tokenizer': 'https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json',
        'bigscience/bloom-560m': 'https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json',
        'bigscience/bloom-1b1': 'https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json',
        'bigscience/bloom-1b7': 'https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json',
        'bigscience/bloom-3b': 'https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json',
        'bigscience/bloom-7b1': 'https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json',
        'bigscience/bloom': 'https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json',
    },
}



class lowerCamelCase			(  lowercase_						):



			'''simple docstring'''






			__snake_case        =	VOCAB_FILES_NAMES
			__snake_case        =	PRETRAINED_VOCAB_FILES_MAP
			__snake_case        =	['input_ids', 'attention_mask']
			__snake_case        =	None


			def __init__(				self	:						Union[str, Any]		,      lowerCAmelCase_	:						Union[str, Any]=None		,      lowerCAmelCase_	:						Union[str, Any]=None		,      lowerCAmelCase_	:						Dict=None		,      lowerCAmelCase_	:						Optional[int]="<unk>"		,      lowerCAmelCase_	:						Union[str, Any]="<s>"		,      lowerCAmelCase_	:						List[str]="</s>"		,      lowerCAmelCase_	:						Tuple="<pad>"		,      lowerCAmelCase_	:						Optional[int]=False		,      lowerCAmelCase_	:						List[Any]=False		,      **lowerCAmelCase_	:						str		,      )      ->		Tuple:





									'''simple docstring'''
									super().__init__(
									    lowerCAmelCase_		,      lowerCAmelCase_		,      tokenizer_file=lowerCAmelCase_		,      unk_token=lowerCAmelCase_		,      bos_token=lowerCAmelCase_		,      eos_token=lowerCAmelCase_		,      pad_token=lowerCAmelCase_		,      add_prefix_space=lowerCAmelCase_		,      clean_up_tokenization_spaces=lowerCAmelCase_		,      **lowerCAmelCase_		,      )
									A__					:       Optional[Any]     =json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()			)
									if pre_tok_state.get("""add_prefix_space"""		,      lowerCAmelCase_			) != add_prefix_space:
															A__					:       str     =getattr(lowerCAmelCase_		,      pre_tok_state.pop("""type"""			)			)
															A__					:       str     =add_prefix_space
															A__					:       Optional[Any]     =pre_tok_class(**lowerCAmelCase_			)

									A__					:       Any     =add_prefix_space


			def lowercase__						(				self	:						int		,      *lowerCAmelCase_	:						Tuple		,      **lowerCAmelCase_	:						List[str]			)      ->		BatchEncoding:





									'''simple docstring'''
									A__					:       Dict     =kwargs.get("""is_split_into_words"""		,      lowerCAmelCase_			)
									if not (self.add_prefix_space or not is_split_into_words):
															raise Exception(
															    f"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
															    """ pretokenized inputs."""			)

									return super()._batch_encode_plus(*lowerCAmelCase_		,      **lowerCAmelCase_			)


			def lowercase__						(				self	:						int		,      *lowerCAmelCase_	:						Optional[int]		,      **lowerCAmelCase_	:						Optional[Any]			)      ->		BatchEncoding:





									'''simple docstring'''
									A__					:       Union[str, Any]     =kwargs.get("""is_split_into_words"""		,      lowerCAmelCase_			)

									if not (self.add_prefix_space or not is_split_into_words):
															raise Exception(
															    f"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
															    """ pretokenized inputs."""			)

									return super()._encode_plus(*lowerCAmelCase_		,      **lowerCAmelCase_			)


			def lowercase__						(				self	:						int		,      lowerCAmelCase_	:						str		,      lowerCAmelCase_	:						Optional[str] = None			)      ->		Tuple[str]:





									'''simple docstring'''
									A__					:       Dict     =self._tokenizer.model.save(lowerCAmelCase_		,      name=lowerCAmelCase_			)
									return tuple(lowerCAmelCase_			)



			def lowercase__						(				self	:						str		,      lowerCAmelCase_	:						"Conversation"			)      ->		List[int]:





									'''simple docstring'''
									A__					:       int     =[]
									for is_user, text in conversation.iter_texts():
															input_ids.extend(self.encode(lowerCAmelCase_		,      add_special_tokens=lowerCAmelCase_			) + [self.eos_token_id]			)

									if len(lowerCAmelCase_			) > self.model_max_length:
															A__					:       List[str]     =input_ids[-self.model_max_length :]
									return input_ids




'''simple docstring'''



from __future__ import annotations
def 						__lowerCamelCase	(       __snake_case					:		list[int]	)	->							bool:






						"""simple docstring"""





						return len(set(__snake_case	)	) == len(__snake_case	)


if __name__ == "__main__":
		import doctest

		doctest.testmod()

