

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase           =					logging.get_logger(__name__)

lowerCamelCase           =					{
    '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/config.json''',
    '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/config.json''',
    '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/config.json''',
    '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/config.json''',
    '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json''',
    '''roberta-large-openai-detector''': '''https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json''',
}







class 						__magic_name__			(							lowerCamelCase__							):

   '''simple docstring'''




   lowerCamelCase__ :	Tuple    =   '''roberta'''



   def __init__(				self,    lowercase_=50265,    lowercase_=768,    lowercase_=12,    lowercase_=12,    lowercase_=3072,    lowercase_="gelu",    lowercase_=0.1,    lowercase_=0.1,    lowercase_=512,    lowercase_=2,    lowercase_=0.02,    lowercase_=1E-12,    lowercase_=1,    lowercase_=0,    lowercase_=2,    lowercase_="absolute",    lowercase_=True,    lowercase_=None,    **lowercase_,    )							->    List[str]:






     """simple docstring"""






     super().__init__(pad_token_id=lowerCAmelCase__,    bos_token_id=lowerCAmelCase__,    eos_token_id=lowerCAmelCase__,    **lowerCAmelCase__       )

     a__  =vocab_size
     a__  =hidden_size
     a__  =num_hidden_layers
     a__  =num_attention_heads
     a__  =hidden_act
     a__  =intermediate_size
     a__  =hidden_dropout_prob
     a__  =attention_probs_dropout_prob
     a__  =max_position_embeddings
     a__  =type_vocab_size
     a__  =initializer_range
     a__  =layer_norm_eps
     a__  =position_embedding_type
     a__  =use_cache
     a__  =classifier_dropout







class 						__magic_name__			(							lowerCamelCase__							):

   '''simple docstring'''




   @property
   def  _UpperCAmelCase (				self       )							->    Optional[int]:






     """simple docstring"""






     if self.task == "multiple-choice":
       a__  ={0: """batch""", 1: """choice""", 2: """sequence"""}
     else:
       a__  ={0: """batch""", 1: """sequence"""}
     return OrderedDict(
         [
             ('''input_ids''', dynamic_axis),
             ('''attention_mask''', dynamic_axis),
         ]       )





'''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.'''
)