
"""simple docstring"""
from typing import TYPE_CHECKING

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


lowercase_       :						Tuple     					=	{
    '''configuration_roc_bert''': ['''ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''RoCBertConfig'''],
    '''tokenization_roc_bert''': ['''RoCBertTokenizer'''],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      pass

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_       :						str     					=	[
          '''ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''RoCBertForCausalLM''',
          '''RoCBertForMaskedLM''',
          '''RoCBertForMultipleChoice''',
          '''RoCBertForPreTraining''',
          '''RoCBertForQuestionAnswering''',
          '''RoCBertForSequenceClassification''',
          '''RoCBertForTokenClassification''',
          '''RoCBertLayer''',
          '''RoCBertModel''',
          '''RoCBertPreTrainedModel''',
          '''load_tf_weights_in_roc_bert''',
      ]

if TYPE_CHECKING:
      from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
      from .tokenization_roc_bert import RoCBertTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            raise OptionalDependencyNotAvailable()

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_roc_bert import (
                ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                RoCBertForCausalLM,
                RoCBertForMaskedLM,
                RoCBertForMultipleChoice,
                RoCBertForPreTraining,
                RoCBertForQuestionAnswering,
                RoCBertForSequenceClassification,
                RoCBertForTokenClassification,
                RoCBertLayer,
                RoCBertModel,
                RoCBertPreTrainedModel,
                load_tf_weights_in_roc_bert,
            )


else:
      import sys

      lowercase_       :						Tuple     					=	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


lowercase_       :						Union[str, Any]     					=	logging.get_logger(__name__)
class 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE  ):
     def __init__(     self  ,     *snake_case__  ,     **snake_case__				):




       """simple docstring"""


       warnings.warn(
           "The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
           " Please use LayoutLMv2ImageProcessor instead."  ,     snake_case__  ,     )
       super().__init__(*snake_case__  ,     **snake_case__				)



