

'''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


UpperCamelCase_    						=       logging.get_logger(__name__)

UpperCamelCase_    						=       {"""tokenizer_file""": """tokenizer.json"""}

UpperCamelCase_    						=       {
    """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 		__SCREAMING_SNAKE_CASE							(			lowercase__      ):
				lowerCamelCase_		       =    VOCAB_FILES_NAMES
				lowerCamelCase_		       =    PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase_		       =    ['input_ids', 'attention_mask']
				lowerCamelCase_		       =    None







				def __init__(       self     :		List[str]		,					UpperCAmelCase__     :		Dict=None		,					UpperCAmelCase__     :		List[str]=None		,					UpperCAmelCase__     :		Union[str, Any]=None		,					UpperCAmelCase__     :		Union[str, Any]="<unk>"		,					UpperCAmelCase__     :		Optional[Any]="<s>"		,					UpperCAmelCase__     :		List[Any]="</s>"		,					UpperCAmelCase__     :		Optional[Any]="<pad>"		,					UpperCAmelCase__     :		Dict=False		,					UpperCAmelCase__     :		int=False		,					**UpperCAmelCase__     :		int		,					):
										'''simple docstring'''
										super().__init__(
										    UpperCAmelCase__		,					UpperCAmelCase__		,					tokenizer_file=UpperCAmelCase__		,					unk_token=UpperCAmelCase__		,					bos_token=UpperCAmelCase__		,					eos_token=UpperCAmelCase__		,					pad_token=UpperCAmelCase__		,					add_prefix_space=UpperCAmelCase__		,					clean_up_tokenization_spaces=UpperCAmelCase__		,					**UpperCAmelCase__		,					)
										lowercase :							str    		=json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()   )
										if pre_tok_state.get('''add_prefix_space'''		,					UpperCAmelCase__   ) != add_prefix_space:
																lowercase :							int    		=getattr(UpperCAmelCase__		,					pre_tok_state.pop('''type'''   )   )
																lowercase :							int    		=add_prefix_space
																lowercase :							Optional[Any]    		=pre_tok_class(**UpperCAmelCase__   )

										lowercase :							Optional[Any]    		=add_prefix_space







				def  lowerCamelCase_	(       self     :		Optional[Any]		,					*UpperCAmelCase__     :		Tuple		,					**UpperCAmelCase__     :		Union[str, Any]   ):
										'''simple docstring'''
										lowercase :							Optional[Any]    		=kwargs.get('''is_split_into_words'''		,					UpperCAmelCase__   )
										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(*UpperCAmelCase__		,					**UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		List[str]		,					*UpperCAmelCase__     :		Optional[Any]		,					**UpperCAmelCase__     :		Optional[int]   ):
										'''simple docstring'''
										lowercase :							Dict    		=kwargs.get('''is_split_into_words'''		,					UpperCAmelCase__   )

										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(*UpperCAmelCase__		,					**UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		Any		,					UpperCAmelCase__     :		str		,					UpperCAmelCase__     :		Optional[str] = None   ):
										'''simple docstring'''
										lowercase :							Dict    		=self._tokenizer.model.save(UpperCAmelCase__		,					name=UpperCAmelCase__   )
										return tuple(UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		List[str]		,					UpperCAmelCase__     :		"Conversation"   ):
										'''simple docstring'''
										lowercase :							Any    		=[]
										for is_user, text in conversation.iter_texts():
																input_ids.extend(self.encode(UpperCAmelCase__		,					add_special_tokens=UpperCAmelCase__   ) + [self.eos_token_id]   )

										if len(UpperCAmelCase__   ) > self.model_max_length:
																lowercase :							Any    		=input_ids[-self.model_max_length :]
										return input_ids








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import _LazyModule


UpperCamelCase_    						=       {"""tokenization_byt5""": ["""ByT5Tokenizer"""]}


if TYPE_CHECKING:
							from .tokenization_byta import ByTaTokenizer
else:
							import sys

							UpperCamelCase_    						=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





