






"""simple docstring"""
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


lowerCamelCase_					=      logging.get_logger(__name__)

lowerCamelCase_					=      {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCamelCase_					=      {
    '''vocab_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'''
    },
}

lowerCamelCase_					=      {'''allegro/herbert-base-cased''': 514}
lowerCamelCase_					=      {}







class 			UpperCamelCase_       (__A     ):
	__magic_name__	      =				VOCAB_FILES_NAMES
	__magic_name__	      =				PRETRAINED_VOCAB_FILES_MAP
	__magic_name__	      =				PRETRAINED_INIT_CONFIGURATION
	__magic_name__	      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__magic_name__	      =				HerbertTokenizer





	def __init__(      self					: Tuple	,	lowerCAmelCase_					: str=None	,	lowerCAmelCase_					: Union[str, Any]=None	,	lowerCAmelCase_					: List[str]=None	,	lowerCAmelCase_					: List[Any]="<s>"	,	lowerCAmelCase_					: Dict="<unk>"	,	lowerCAmelCase_					: Optional[int]="<pad>"	,	lowerCAmelCase_					: str="<mask>"	,	lowerCAmelCase_					: Union[str, Any]="</s>"	,	**lowerCAmelCase_					: Any	,	)						->			Union[str, Any]:
				super().__init__(
				    lowerCAmelCase_	,	lowerCAmelCase_	,	tokenizer_file=lowerCAmelCase_	,	cls_token=lowerCAmelCase_	,	unk_token=lowerCAmelCase_	,	pad_token=lowerCAmelCase_	,	mask_token=lowerCAmelCase_	,	sep_token=lowerCAmelCase_	,	**lowerCAmelCase_	,	)





	def      _SCREAMING_SNAKE_CASE      (      self					: Tuple	,	lowerCAmelCase_					: List[int]	,	lowerCAmelCase_					: Optional[List[int]] = None						)						->			List[int]:
				UpperCAmelCase_     : Any			     =					[self.cls_token_id]
				UpperCAmelCase_     : str			     =					[self.sep_token_id]
				if token_ids_a is None:
							return cls + token_ids_a + sep

				return cls + token_ids_a + sep + token_ids_a + sep





	def      _SCREAMING_SNAKE_CASE      (      self					: Dict	,	lowerCAmelCase_					: List[int]	,	lowerCAmelCase_					: Optional[List[int]] = None	,	lowerCAmelCase_					: bool = False						)						->			List[int]:
				if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=lowerCAmelCase_	,	token_ids_a=lowerCAmelCase_	,	already_has_special_tokens=lowerCAmelCase_						)

				if token_ids_a is None:
							return [1] + ([0] * len(lowerCAmelCase_						)) + [1]
				return [1] + ([0] * len(lowerCAmelCase_						)) + [1] + ([0] * len(lowerCAmelCase_						)) + [1]





	def      _SCREAMING_SNAKE_CASE      (      self					: int	,	lowerCAmelCase_					: List[int]	,	lowerCAmelCase_					: Optional[List[int]] = None						)						->			List[int]:
				UpperCAmelCase_     : Optional[int]			     =					[self.sep_token_id]
				UpperCAmelCase_     : Optional[Any]			     =					[self.cls_token_id]

				if token_ids_a is None:
							return len(cls + token_ids_a + sep						) * [0]
				return len(cls + token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1]





	def      _SCREAMING_SNAKE_CASE      (      self					: int	,	lowerCAmelCase_					: str	,	lowerCAmelCase_					: Optional[str] = None						)						->			Tuple[str]:
				UpperCAmelCase_     : List[Any]			     =					self._tokenizer.model.save(lowerCAmelCase_	,	name=lowerCAmelCase_						)
				return tuple(lowerCAmelCase_						)











"""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.'''
)



