



'''simple docstring'''






import fire

from utils import calculate_rouge, save_json
def 				lowerCamelCase__	(						_A			,      _A			,      _A=None			,      **_A    ):
  a						: Optional[Any]					       =					[x.strip() for x in open(_A    ).readlines()]
  a						: Dict					       =					[x.strip() for x in open(_A    ).readlines()][: len(_A    )]
  a						: Optional[Any]					       =					calculate_rouge(_A			,      _A			,      **_A    )
  if save_path is not None:
    save_json(_A			,      _A			,      indent=_A    )
  return metrics  # these print nicely


if __name__ == "__main__":
     fire.Fire(calculate_rouge_path)




'''simple docstring'''






from typing import TYPE_CHECKING

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


lowerCAmelCase: Optional[int]							=						{
    'configuration_graphormer': ['GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GraphormerConfig'],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase: int							=						[
         'GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
         'GraphormerForGraphClassification',
         'GraphormerModel',
         'GraphormerPreTrainedModel',
     ]


if TYPE_CHECKING:
     from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_graphormer import (
              GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
              GraphormerForGraphClassification,
              GraphormerModel,
              GraphormerPreTrainedModel,
          )


else:
     import sys

     lowerCAmelCase: str							=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)