





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 					lowercase__ (			__lowerCamelCase       ):

   '''simple docstring'''


   a		:							List[Any]     	=	VOCAB_FILES_NAMES
   a		:							Optional[int]     	=	PRETRAINED_VOCAB_FILES_MAP
   a		:							Union[str, Any]     	=	["input_ids", "attention_mask"]
   a		:							str     	=	None




   def __init__(					self,	__magic_name__=None,	__magic_name__=None,	__magic_name__=None,	__magic_name__="<unk>",	__magic_name__="<s>",	__magic_name__="</s>",	__magic_name__="<pad>",	__magic_name__=False,	__magic_name__=False,	**__magic_name__,	)				->   str:






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

       UpperCamelCase__							:       Union[str, Any]      =   add_prefix_space




   def    UpperCamelCase__						(					self,	*__magic_name__,	**__magic_name__							)				->   BatchEncoding:






       """simple docstring"""
       UpperCamelCase__							:       List[str]      =   kwargs.get('''is_split_into_words''',	__magic_name__							)
       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(*__magic_name__,	**__magic_name__							)




   def    UpperCamelCase__						(					self,	*__magic_name__,	**__magic_name__							)				->   BatchEncoding:






       """simple docstring"""
       UpperCamelCase__							:       List[Any]      =   kwargs.get('''is_split_into_words''',	__magic_name__							)

       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(*__magic_name__,	**__magic_name__							)




   def    UpperCamelCase__						(					self,	__magic_name__,	__magic_name__ = None							)				->   Tuple[str]:






       """simple docstring"""
       UpperCamelCase__							:       List[Any]      =   self._tokenizer.model.save(__magic_name__,	name=__magic_name__							)
       return tuple(__magic_name__							)




   def    UpperCamelCase__						(					self,	__magic_name__							)				->   List[int]:






       """simple docstring"""
       UpperCamelCase__							:       List[Any]      =   []
       for is_user, text in conversation.iter_texts():
           input_ids.extend(self.encode(__magic_name__,	add_special_tokens=__magic_name__							) + [self.eos_token_id]							)

       if len(__magic_name__							) > self.model_max_length:
           UpperCamelCase__							:       List[Any]      =   input_ids[-self.model_max_length :]
       return input_ids








# Lint as: python3
import itertools
import os
import re


UpperCAmelCase_  							=				re.compile(R'([A-Z]+)([A-Z][a-z])')
UpperCAmelCase_  							=				re.compile(R'([a-z\d])([A-Z])')

UpperCAmelCase_  							=				re.compile(R'(?<!_)_(?!_)')
UpperCAmelCase_  							=				re.compile(R'(_{2,})')

UpperCAmelCase_  							=				R'^\w+(\.\w+)*$'

UpperCAmelCase_  							=				R'<>:/\|?*'




def 	lowerCAmelCase_					(						__UpperCAmelCase:    Optional[int]   )   ->			List[Any]:
    UpperCamelCase__							:       int      =   _uppercase_uppercase_re.sub(r'''\1_\2'''	,     __UpperCAmelCase   )
    UpperCamelCase__							:       Tuple      =   _lowercase_uppercase_re.sub(r'''\1_\2'''	,     __UpperCAmelCase   )
    return name.lower()




def 	lowerCAmelCase_					(						__UpperCAmelCase:    Any   )   ->			Any:
    UpperCamelCase__							:       Optional[int]      =   _single_underscore_re.split(__UpperCAmelCase   )
    UpperCamelCase__							:       Dict      =   [_multiple_underscores_re.split(__UpperCAmelCase   ) for n in name]
    return "".join(n.capitalize() for n in itertools.chain.from_iterable(__UpperCAmelCase   ) if n != ''''''   )




def 	lowerCAmelCase_					(						__UpperCAmelCase:    int   )   ->			Union[str, Any]:
    if os.path.basename(__UpperCAmelCase   ) != name:
        raise ValueError(f"Should be a dataset name, not a path: {name}"   )
    return camelcase_to_snakecase(__UpperCAmelCase   )




def 	lowerCAmelCase_					(						__UpperCAmelCase:    Dict	,     __UpperCAmelCase:    Optional[int]   )   ->			Optional[Any]:
    if os.path.basename(__UpperCAmelCase   ) != name:
        raise ValueError(f"Should be a dataset name, not a path: {name}"   )
    if not re.match(_split_re	,     __UpperCAmelCase   ):
        raise ValueError(f"Split name should match '{_split_re}'' but got '{split}'."   )
    return f"{filename_prefix_for_name(__UpperCAmelCase   )}-{split}"




def 	lowerCAmelCase_					(						__UpperCAmelCase:    str	,     __UpperCAmelCase:    Dict	,     __UpperCAmelCase:    List[Any]	,     __UpperCAmelCase:    List[Any]=None   )   ->			Union[str, Any]:
    UpperCamelCase__							:       Optional[Any]      =   filename_prefix_for_split(__UpperCAmelCase	,     __UpperCAmelCase   )
    if filetype_suffix:
        prefix += f".{filetype_suffix}"
    UpperCamelCase__							:       Dict      =   os.path.join(__UpperCAmelCase	,     __UpperCAmelCase   )
    return f"{filepath}*"





def 	lowerCAmelCase_					(						__UpperCAmelCase:    List[str]	,     __UpperCAmelCase:    List[str]	,     __UpperCAmelCase:    int	,     __UpperCAmelCase:    str=None	,     __UpperCAmelCase:    Tuple=None   )   ->			Tuple:
    UpperCamelCase__							:       str      =   filename_prefix_for_split(__UpperCAmelCase	,     __UpperCAmelCase   )
    UpperCamelCase__							:       Tuple      =   os.path.join(__UpperCAmelCase	,     __UpperCAmelCase   )

    if shard_lengths:
        UpperCamelCase__							:       Optional[Any]      =   len(__UpperCAmelCase   )
        UpperCamelCase__							:       List[str]      =   [f"{prefix}-{shard_id:05d}-of-{num_shards:05d}" for shard_id in range(__UpperCAmelCase   )]
        if filetype_suffix:
            UpperCamelCase__							:       Union[str, Any]      =   [filename + f".{filetype_suffix}" for filename in filenames]
        return filenames
    else:
        UpperCamelCase__							:       Tuple      =   prefix
        if filetype_suffix:
            filename += f".{filetype_suffix}"
        return [filename]

