


from typing import TYPE_CHECKING

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


__UpperCamelCase				:  int      					=							{'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase				:  Optional[int]      					=							['GLPNFeatureExtractor']
       __UpperCamelCase				:  List[str]      					=							['GLPNImageProcessor']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase				:  Tuple      					=							[
           'GLPN_PRETRAINED_MODEL_ARCHIVE_LIST',
           'GLPNForDepthEstimation',
           'GLPNLayer',
           'GLPNModel',
           'GLPNPreTrainedModel',
       ]


if TYPE_CHECKING:
       from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_glpn import GLPNFeatureExtractor
              from .image_processing_glpn import GLPNImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_glpn import (
                  GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GLPNForDepthEstimation,
                  GLPNLayer,
                  GLPNModel,
                  GLPNPreTrainedModel,
              )


else:
       import sys

       __UpperCamelCase				:  int      					=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)







import fire

from utils import calculate_rouge, save_json
def      snake_case_						( __lowercase			,       __lowercase			,       __lowercase=None			,       **__lowercase       ):
   UpperCAmelCase_							:      Tuple						=   [x.strip() for x in open(__lowercase       ).readlines()]
   UpperCAmelCase_							:      Dict						=   [x.strip() for x in open(__lowercase       ).readlines()][: len(__lowercase       )]
   UpperCAmelCase_							:      int						=   calculate_rouge(__lowercase			,       __lowercase			,       **__lowercase       )
   if save_path is not None:
      save_json(__lowercase			,       __lowercase			,       indent=__lowercase       )
   return metrics  # these print nicely


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