






'''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        _UpperCAmelCase						(		snake_case			):
    __lowerCamelCase:   Optional[Any]		       =    VOCAB_FILES_NAMES
    __lowerCamelCase:   Optional[int]		       =    PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase:   int		       =    ['input_ids', 'attention_mask']
    __lowerCamelCase:   Tuple		       =    None




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






       '''simple docstring'''






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

       lowercase_	:    int           =     add_prefix_space




    def 				lowerCAmelCase__				(			self  :       Optional[Any]  ,     *a  :       str  ,     **a  :       Union[str, Any]			):






       '''simple docstring'''






       lowercase_	:    str           =     kwargs.get("is_split_into_words"  ,     a			)
       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(*a  ,     **a			)




    def 				lowerCAmelCase__				(			self  :       Optional[Any]  ,     *a  :       Union[str, Any]  ,     **a  :       Tuple			):






       '''simple docstring'''






       lowercase_	:    str           =     kwargs.get("is_split_into_words"  ,     a			)

       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(*a  ,     **a			)




    def 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     a  :       str  ,     a  :       Optional[str] = None			):






       '''simple docstring'''






       lowercase_	:    Union[str, Any]           =     self._tokenizer.model.save(a  ,     name=a			)
       return tuple(a			)





    def 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     a  :       "Conversation"			):






       '''simple docstring'''






       lowercase_	:    int           =     []
       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:
          lowercase_	:    Optional[int]           =     input_ids[-self.model_max_length :]
       return input_ids












'''simple docstring'''
# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    'pipelines_utils',
    '0.22.0',
    'Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.',
    standard_warn=False,
    stacklevel=3,
)




