


'''simple docstring'''



from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available





@dataclass
class        UpperCAmelCase_  (_UpperCAmelCase  ):





    """simple docstring"""






    lowerCamelCase  : int												=      {
        'sld_warmup_steps': 1_5,
        'sld_guidance_scale': 2_0,
        'sld_threshold': 0.0,
        'sld_momentum_scale': 0.0,
        'sld_mom_beta': 0.0,
    }
    lowerCamelCase  : Any												=      {
        'sld_warmup_steps': 1_0,
        'sld_guidance_scale': 1_0_0_0,
        'sld_threshold': 0.01,
        'sld_momentum_scale': 0.3,
        'sld_mom_beta': 0.4,
    }
    lowerCamelCase  : str												=      {
        'sld_warmup_steps': 7,
        'sld_guidance_scale': 2_0_0_0,
        'sld_threshold': 0.025,
        'sld_momentum_scale': 0.5,
        'sld_mom_beta': 0.7,
    }
    lowerCamelCase  : str												=      {
        'sld_warmup_steps': 0,
        'sld_guidance_scale': 5_0_0_0,
        'sld_threshold': 1.0,
        'sld_momentum_scale': 0.5,
        'sld_mom_beta': 0.7,
    }







@dataclass
class        UpperCAmelCase_  (_UpperCAmelCase  ):





    """simple docstring"""






    lowerCamelCase  : Union[List[PIL.Image.Image], np.ndarray]
    lowerCamelCase  : Optional[List[bool]]
    lowerCamelCase  : Optional[Union[List[PIL.Image.Image], np.ndarray]]
    lowerCamelCase  : Optional[str]


if is_transformers_available() and is_torch_available():
      from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
      from .safety_checker import SafeStableDiffusionSafetyChecker










'''simple docstring'''



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


A__		: int												=  logging.get_logger(__name__)

A__		: Union[str, Any]												=  {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

A__		: int												=  {
    """vocab_file""": {
        """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt""",
    },
    """tokenizer_file""": {
        """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json""",
    },
}

A__		: int												=  {
    """microsoft/mpnet-base""": 512,
}

A__		: Optional[Any]												=  {
    """microsoft/mpnet-base""": {"""do_lower_case""": True},
}





class        UpperCAmelCase_  (_UpperCAmelCase  ):





    """simple docstring"""






    lowerCamelCase  : int												=      VOCAB_FILES_NAMES
    lowerCamelCase  : int												=      PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase  : List[Any]												=      PRETRAINED_INIT_CONFIGURATION
    lowerCamelCase  : int												=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCamelCase  : Tuple												=      MPNetTokenizer
    lowerCamelCase  : List[Any]												=      ['input_ids', 'attention_mask']







    def __init__(							self      ,					SCREAMING_SNAKE_CASE_=None      ,					SCREAMING_SNAKE_CASE_=None      ,					SCREAMING_SNAKE_CASE_=True      ,					SCREAMING_SNAKE_CASE_="<s>"      ,					SCREAMING_SNAKE_CASE_="</s>"      ,					SCREAMING_SNAKE_CASE_="</s>"      ,					SCREAMING_SNAKE_CASE_="<s>"      ,					SCREAMING_SNAKE_CASE_="[UNK]"      ,					SCREAMING_SNAKE_CASE_="<pad>"      ,					SCREAMING_SNAKE_CASE_="<mask>"      ,					SCREAMING_SNAKE_CASE_=True      ,					SCREAMING_SNAKE_CASE_=None      ,					**SCREAMING_SNAKE_CASE_      ,					)    ->					Any:
         super().__init__(
             SCREAMING_SNAKE_CASE_      ,					tokenizer_file=SCREAMING_SNAKE_CASE_      ,					do_lower_case=SCREAMING_SNAKE_CASE_      ,					bos_token=SCREAMING_SNAKE_CASE_      ,					eos_token=SCREAMING_SNAKE_CASE_      ,					sep_token=SCREAMING_SNAKE_CASE_      ,					cls_token=SCREAMING_SNAKE_CASE_      ,					unk_token=SCREAMING_SNAKE_CASE_      ,					pad_token=SCREAMING_SNAKE_CASE_      ,					mask_token=SCREAMING_SNAKE_CASE_      ,					tokenize_chinese_chars=SCREAMING_SNAKE_CASE_      ,					strip_accents=SCREAMING_SNAKE_CASE_      ,					**SCREAMING_SNAKE_CASE_      ,					)

         __lowerCamelCase       :     Union[str, Any]        =		json.loads(self.backend_tokenizer.normalizer.__getstate__()     )
         if (
             pre_tok_state.get('lowercase'      ,					SCREAMING_SNAKE_CASE_     ) != do_lower_case
             or pre_tok_state.get('strip_accents'      ,					SCREAMING_SNAKE_CASE_     ) != strip_accents
         ):
              __lowerCamelCase       :     List[Any]        =		getattr(SCREAMING_SNAKE_CASE_      ,					pre_tok_state.pop('type'     )     )
              __lowerCamelCase       :     List[str]        =		do_lower_case
              __lowerCamelCase       :     str        =		strip_accents
              __lowerCamelCase       :     Union[str, Any]        =		pre_tok_class(**SCREAMING_SNAKE_CASE_     )

         __lowerCamelCase       :     Tuple        =		do_lower_case







    @property
    def 				lowercase_    (							self     )    ->					str:
         if self._mask_token is None:
              if self.verbose:
                   logger.error('Using mask_token, but it is not set yet.'     )
              return None
         return str(self._mask_token     )







    @mask_token.setter
    def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_     )    ->					Union[str, Any]:
         __lowerCamelCase       :     Any        =		AddedToken(SCREAMING_SNAKE_CASE_      ,					lstrip=SCREAMING_SNAKE_CASE_      ,					rstrip=SCREAMING_SNAKE_CASE_     ) if isinstance(SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_     ) else value
         __lowerCamelCase       :     int        =		value







    def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_=None     )    ->					Union[str, Any]:
         __lowerCamelCase       :     Dict        =		[self.bos_token_id] + token_ids_a + [self.eos_token_id]
         if token_ids_a is None:
              return output

         return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







    def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_ = None     )    ->					List[int]:
         __lowerCamelCase       :     List[Any]        =		[self.sep_token_id]
         __lowerCamelCase       :     List[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 + sep + token_ids_a + sep     ) * [0]







    def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_ = None     )    ->					Tuple[str]:
         __lowerCamelCase       :     Optional[Any]        =		self._tokenizer.model.save(SCREAMING_SNAKE_CASE_      ,					name=SCREAMING_SNAKE_CASE_     )
         return tuple(SCREAMING_SNAKE_CASE_     )






