




"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

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


_A													=			logging.get_logger(__name__)

_A													=			{
    """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 _lowerCamelCase				(     a_						):
   _lowerCamelCase				:Dict	      =	"roberta"






   def __init__(		self   :		List[Any]    ,	UpperCamelCase   :		str=5_02_65    ,	UpperCamelCase   :		Optional[int]=7_68    ,	UpperCamelCase   :		List[str]=12    ,	UpperCamelCase   :		Optional[Any]=12    ,	UpperCamelCase   :		Union[str, Any]=30_72    ,	UpperCamelCase   :		Tuple="gelu"    ,	UpperCamelCase   :		str=0.1    ,	UpperCamelCase   :		str=0.1    ,	UpperCamelCase   :		Optional[Any]=5_12    ,	UpperCamelCase   :		Optional[Any]=2    ,	UpperCamelCase   :		Any=0.02    ,	UpperCamelCase   :		Optional[int]=1E-1_2    ,	UpperCamelCase   :		str=1    ,	UpperCamelCase   :		Tuple=0    ,	UpperCamelCase   :		Optional[int]=2    ,	UpperCamelCase   :		Any="absolute"    ,	UpperCamelCase   :		Any=True    ,	UpperCamelCase   :		List[Any]=None    ,	**UpperCamelCase   :		Optional[Any]    ,	) ->						str:

         """simple docstring"""
         super().__init__(pad_token_id=snake_case__    ,	bos_token_id=snake_case__    ,	eos_token_id=snake_case__    ,	**snake_case__    )

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






class _lowerCamelCase				(     a_						):






   @property
   def        _lowerCAmelCase    (		self   :		Dict    ) ->						List[Any]:

         """simple docstring"""





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









"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase__      				=   {
    '''configuration_pix2struct''': [
        '''PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''Pix2StructConfig''',
        '''Pix2StructTextConfig''',
        '''Pix2StructVisionConfig''',
    ],
    '''processing_pix2struct''': ['''Pix2StructProcessor'''],
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase__      				=   ['''Pix2StructImageProcessor''']


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase__      				=   [
         '''PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''Pix2StructPreTrainedModel''',
         '''Pix2StructForConditionalGeneration''',
         '''Pix2StructVisionModel''',
         '''Pix2StructTextModel''',
     ]

if TYPE_CHECKING:
     from .configuration_pixastruct import (
         PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
         PixaStructConfig,
         PixaStructTextConfig,
         PixaStructVisionConfig,
     )
     from .processing_pixastruct import PixaStructProcessor

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .image_processing_pixastruct import PixaStructImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_pixastruct import (
              PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
              PixaStructForConditionalGeneration,
              PixaStructPreTrainedModel,
              PixaStructTextModel,
              PixaStructVisionModel,
          )

else:
     import sys

     lowerCAmelCase__      				=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





