
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE   :		int					 =       logging.get_logger(__name__)






class 					__lowercase		(					A       ):
					__magic_name__						:							Dict     	=	['''input_ids''', '''attention_mask''']


					def __init__(	self       ,       a__="[PAD]"       ,       a__="[BOS]"       ,       a__="[EOS]"       ,       a__="[MASK]"       ,       a__="[CLS]"       ,       a__="[SEP]"       ,       a__=2_0_4_8       ,       **a__       ,       )		->							None:





									'''simple docstring'''
									A_       	=  AddedToken(a__       ,       lstrip=a__       ,       rstrip=a__						) if isinstance(a__       ,       a__						) else pad_token
									A_       	=  AddedToken(a__       ,       lstrip=a__       ,       rstrip=a__						) if isinstance(a__       ,       a__						) else bos_token
									A_       	=  AddedToken(a__       ,       lstrip=a__       ,       rstrip=a__						) if isinstance(a__       ,       a__						) else eos_token
									A_       	=  AddedToken(a__       ,       lstrip=a__       ,       rstrip=a__						) if isinstance(a__       ,       a__						) else mask_token
									A_       	=  AddedToken(a__       ,       lstrip=a__       ,       rstrip=a__						) if isinstance(a__       ,       a__						) else cls_token
									A_       	=  AddedToken(a__       ,       lstrip=a__       ,       rstrip=a__						) if isinstance(a__       ,       a__						) else sep_token

									super().__init__(
									    pad_token=a__       ,       bos_token=a__       ,       eos_token=a__       ,       mask_token=a__       ,       cls_token=a__       ,       sep_token=a__       ,       model_max_length=a__       ,       **a__       ,       )

									A_       	=  2**8  # utf is 8 bits

									# define special tokens dict
									A_       	=  {
									    self.pad_token: 0,
									    self.bos_token: 1,
									    self.eos_token: 2,
									    self.mask_token: 3,
									    self.cls_token: 4,
									    self.sep_token: 5,
									}
									A_       	=  len(self.special_tokens_encoder						)
									A_       	=  {v: k for k, v in self.special_tokens_encoder.items()}


					def        lowerCAmelCase_    (	self						)		->							Dict[str, int]:





									'''simple docstring'''
									A_       	=  self.special_tokens_encoder.copy()
									vocab.update(self.added_tokens_encoder						)
									for i in range(self._utf_vocab_size						):
													A_       	=  chr(a__						)
													A_       	=  i + len(self.special_tokens_encoder						)
									return vocab


					@property
					def        lowerCAmelCase_    (	self						)		->							List[str]:





									'''simple docstring'''
									return self._utf_vocab_size + self._num_special_tokens


					def        lowerCAmelCase_    (	self       ,       a__       ,       a__ = None       ,       a__ = False						)		->							List[int]:





									'''simple docstring'''
									if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=a__       ,       token_ids_a=a__       ,       already_has_special_tokens=a__						)

									# normal case: some special tokens
									if token_ids_a is None:
													return [1] + [0] * len(a__						) + [1]
									return [1] + ([0] * len(a__						)) + [1] + ([0] * len(a__						)) + [1]


					def        lowerCAmelCase_    (	self       ,       a__       ,       a__ = None						)		->							List[int]:





									'''simple docstring'''
									if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									else:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]


					def        lowerCAmelCase_    (	self       ,       a__						)		->							List[str]:





									'''simple docstring'''
									A_       	=  [chr(a__						) for i in text.encode('''utf-8'''						)]
									return tokens


					def        lowerCAmelCase_    (	self       ,       a__						)		->							Optional[int]:





									'''simple docstring'''
									if token in self.special_tokens_encoder:
													A_       	=  self.special_tokens_encoder[token]
									elif token in self.added_tokens_encoder:
													A_       	=  self.added_tokens_encoder[token]
									elif len(a__						) != 1:
													A_       	=  self.unk_token_id
									else:
													A_       	=  ord(a__						) + self._num_special_tokens
									return token_id


					def        lowerCAmelCase_    (	self       ,       a__						)		->							Optional[Any]:





									'''simple docstring'''
									if index in self.special_tokens_decoder:
													A_       	=  self.special_tokens_decoder[index]
									elif index in self.added_tokens_decoder:
													A_       	=  self.added_tokens_decoder[index]
									else:
													A_       	=  chr(index - self._num_special_tokens						)
									return token


					def        lowerCAmelCase_    (	self       ,       a__						)		->							str:





									'''simple docstring'''
									A_       	=  b''''''
									for token in tokens:
													if token in self.special_tokens_decoder:
																	A_       	=  self.special_tokens_decoder[token].encode('''utf-8'''						)
													elif token in self.added_tokens_decoder:
																	A_       	=  self.special_tokens_decoder[token].encode('''utf-8'''						)
													elif token in self.special_tokens_encoder:
																	A_       	=  token.encode('''utf-8'''						)
													elif token in self.added_tokens_encoder:
																	A_       	=  token.encode('''utf-8'''						)
													else:
																	A_       	=  bytes([ord(a__						)]						)
													bstring += tok_string
									A_       	=  bstring.decode('''utf-8'''       ,       errors='''replace'''						)
									return string


					def        lowerCAmelCase_    (	self       ,       a__       ,       a__ = None						)		->							Tuple[str]:





									'''simple docstring'''
									return ()

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 					__lowercase		(					A       ):
					__magic_name__						:							int     	=	{
					    '''sld_warmup_steps''': 15,
					    '''sld_guidance_scale''': 20,
					    '''sld_threshold''': 0.0,
					    '''sld_momentum_scale''': 0.0,
					    '''sld_mom_beta''': 0.0,
					}
					__magic_name__						:							Optional[int]     	=	{
					    '''sld_warmup_steps''': 10,
					    '''sld_guidance_scale''': 10_00,
					    '''sld_threshold''': 0.01,
					    '''sld_momentum_scale''': 0.3,
					    '''sld_mom_beta''': 0.4,
					}
					__magic_name__						:							str     	=	{
					    '''sld_warmup_steps''': 7,
					    '''sld_guidance_scale''': 20_00,
					    '''sld_threshold''': 0.0_25,
					    '''sld_momentum_scale''': 0.5,
					    '''sld_mom_beta''': 0.7,
					}
					__magic_name__						:							List[Any]     	=	{
					    '''sld_warmup_steps''': 0,
					    '''sld_guidance_scale''': 50_00,
					    '''sld_threshold''': 1.0,
					    '''sld_momentum_scale''': 0.5,
					    '''sld_mom_beta''': 0.7,
					}






@dataclass
class 					__lowercase		(					A       ):
					__magic_name__						:							Union[List[PIL.Image.Image], np.ndarray]
					__magic_name__						:							Optional[List[bool]]
					__magic_name__						:							Optional[Union[List[PIL.Image.Image], np.ndarray]]
					__magic_name__						:							Optional[str]


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