






"""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


_lowerCAmelCase         =							logging.get_logger(__name__)

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

_lowerCAmelCase         =							{
    "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  (				_SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




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





	def __init__(self     ,     lowerCAmelCase_=None     ,     lowerCAmelCase_=None     ,     lowerCAmelCase_=None     ,     lowerCAmelCase_="<unk>"     ,     lowerCAmelCase_="<s>"     ,     lowerCAmelCase_="</s>"     ,     lowerCAmelCase_="<pad>"     ,     lowerCAmelCase_=False     ,     lowerCAmelCase_=False     ,     **lowerCAmelCase_     ,     ):
		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_		:						Tuple	    =   json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()							)
		if pre_tok_state.get("""add_prefix_space"""     ,     lowerCAmelCase_							) != add_prefix_space:
			A_		:						Any	    =   getattr(lowerCAmelCase_     ,     pre_tok_state.pop("""type"""							)							)
			A_		:						Dict	    =   add_prefix_space
			A_		:						int	    =   pre_tok_class(**lowerCAmelCase_							)

		A_		:						Tuple	    =   add_prefix_space





	def    lowerCamelCase(self     ,     *lowerCAmelCase_     ,     **lowerCAmelCase_							):
		A_		:						List[str]	    =   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    lowerCamelCase(self     ,     *lowerCAmelCase_     ,     **lowerCAmelCase_							):
		A_		:						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    lowerCamelCase(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_ = None							):
		A_		:						int	    =   self._tokenizer.model.save(lowerCAmelCase_     ,     name=lowerCAmelCase_							)
		return tuple(lowerCAmelCase_							)





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		A_		:						Any	    =   []
		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_		:						Dict	    =   input_ids[-self.model_max_length :]
		return input_ids









"""simple docstring"""
import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    "The `inpainting.py` script is outdated. Please use directly `from diffusers import"
    " StableDiffusionInpaintPipeline` instead."
)

