



"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowercase					:					Union[str, Any] 		=		logging.get_logger(__name__)

_lowercase					:					int 		=		{
    "bert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/config.json",
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}

class 			__SCREAMING_SNAKE_CASE      ( lowerCAmelCase_  ):


					'''simple docstring'''





					_a       =				'qdqbert'



					def __init__(			self				:    Optional[int],    lowerCamelCase				:    Tuple=3_0522,    lowerCamelCase				:    str=768,    lowerCamelCase				:    List[str]=12,    lowerCamelCase				:    int=12,    lowerCamelCase				:    Optional[int]=3072,    lowerCamelCase				:    List[Any]="gelu",    lowerCamelCase				:    Dict=0.1,    lowerCamelCase				:    Union[str, Any]=0.1,    lowerCamelCase				:    str=512,    lowerCamelCase				:    str=2,    lowerCamelCase				:    List[Any]=0.02,    lowerCamelCase				:    Optional[Any]=1E-12,    lowerCamelCase				:    List[Any]=True,    lowerCamelCase				:    str=1,    lowerCamelCase				:    Any=0,    lowerCamelCase				:    List[str]=2,    **lowerCamelCase				:    List[Any],    )->   List[str]:
								super().__init__(pad_token_id=lowerCamelCase,    bos_token_id=lowerCamelCase,    eos_token_id=lowerCamelCase,    **lowerCamelCase	)

								lowerCamelCase__						:						Tuple						      =vocab_size
								lowerCamelCase__						:						Any						      =max_position_embeddings
								lowerCamelCase__						:						Dict						      =hidden_size
								lowerCamelCase__						:						Union[str, Any]						      =num_hidden_layers
								lowerCamelCase__						:						int						      =num_attention_heads
								lowerCamelCase__						:						Optional[Any]						      =intermediate_size
								lowerCamelCase__						:						Optional[int]						      =hidden_act
								lowerCamelCase__						:						List[str]						      =hidden_dropout_prob
								lowerCamelCase__						:						List[str]						      =attention_probs_dropout_prob
								lowerCamelCase__						:						Optional[int]						      =initializer_range
								lowerCamelCase__						:						Union[str, Any]						      =type_vocab_size
								lowerCamelCase__						:						Union[str, Any]						      =layer_norm_eps
								lowerCamelCase__						:						Union[str, Any]						      =use_cache








'''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 			a  (  _SCREAMING_SNAKE_CASE							):
 _lowerCAmelCase			       =						{
     """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			       =						{
     """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			       =						{
     """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			       =						{
     """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 			a  (  _SCREAMING_SNAKE_CASE							):
 _lowerCAmelCase			       =						42
 _lowerCAmelCase			       =						42
 _lowerCAmelCase			       =						42
 _lowerCAmelCase			       =						42


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

