



"""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							(				a   ):





     '''simple docstring'''



     a__             ={
         '''sld_warmup_steps''': 1_5,
         '''sld_guidance_scale''': 2_0,
         '''sld_threshold''': 0.0,
         '''sld_momentum_scale''': 0.0,
         '''sld_mom_beta''': 0.0,
     }
     a__             ={
         '''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,
     }
     a__             ={
         '''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,
     }
     a__             ={
         '''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							(				a   ):





     '''simple docstring'''



     a__             =42
     a__             =42
     a__             =42
     a__             =42


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


_lowerCAmelCase					:Dict  =      logging.get_logger(__name__)

_lowerCAmelCase					:Tuple  =      {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_lowerCAmelCase					:Any  =      {
    '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',
    },
}

_lowerCAmelCase					:str  =      {
    'microsoft/mpnet-base': 512,
}

_lowerCAmelCase					:Union[str, Any]  =      {
    'microsoft/mpnet-base': {'do_lower_case': True},
}
class 							_UpperCAmelCase							(				a   ):





     '''simple docstring'''



     a__             =VOCAB_FILES_NAMES
     a__             =PRETRAINED_VOCAB_FILES_MAP
     a__             =PRETRAINED_INIT_CONFIGURATION
     a__             =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     a__             =MPNetTokenizer
     a__             =['''input_ids''', '''attention_mask''']





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

         _UpperCAmelCase							:						List[str]       							=					json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
         if (
             pre_tok_state.get('''lowercase''' ,			A	) != do_lower_case
             or pre_tok_state.get('''strip_accents''' ,			A	) != strip_accents
         ):
             _UpperCAmelCase							:						Optional[int]       							=					getattr(A ,			pre_tok_state.pop('''type'''	)	)
             _UpperCAmelCase							:						List[Any]       							=					do_lower_case
             _UpperCAmelCase							:						List[Any]       							=					strip_accents
             _UpperCAmelCase							:						Tuple       							=					pre_tok_class(**A	)

         _UpperCAmelCase							:						Union[str, Any]       							=					do_lower_case





     @property
     def 				__lowerCAmelCase			(      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 				__lowerCAmelCase			(      self ,			A	)							->      str:
         _UpperCAmelCase							:						Optional[int]       							=					AddedToken(A ,			lstrip=A ,			rstrip=A	) if isinstance(A ,			A	) else value
         _UpperCAmelCase							:						List[Any]       							=					value





     def 				__lowerCAmelCase			(      self ,			A ,			A=None	)							->      str:
         _UpperCAmelCase							:						List[str]       							=					[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 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      List[int]:
         _UpperCAmelCase							:						int       							=					[self.sep_token_id]
         _UpperCAmelCase							:						int       							=					[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 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      Tuple[str]:
         _UpperCAmelCase							:						str       							=					self._tokenizer.model.save(A ,			name=A	)
         return tuple(A	)


