




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase	:						Dict			=     {
    "configuration_table_transformer": [
        "TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TableTransformerConfig",
        "TableTransformerOnnxConfig",
    ]
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase	:						Tuple			=     [
         "TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
         "TableTransformerForObjectDetection",
         "TableTransformerModel",
         "TableTransformerPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_table_transformer import (
         TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
         TableTransformerConfig,
         TableTransformerOnnxConfig,
     )

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_table_transformer import (
              TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
              TableTransformerForObjectDetection,
              TableTransformerModel,
              TableTransformerPreTrainedModel,
          )

else:
     import sys

     _UpperCAmelCase	:						Any			=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)









from abc import ABC, abstractmethod
from argparse import ArgumentParser




class    __lowerCAmelCase       (							lowerCAmelCase):






       @staticmethod
       @abstractmethod
       def 					SCREAMING_SNAKE_CASE    (   _lowerCAmelCase:					ArgumentParser				):
         raise NotImplementedError()






       @abstractmethod
       def 					SCREAMING_SNAKE_CASE    (   self:					List[str]				):
         raise NotImplementedError()



