'''simple docstring'''

import argparse

from transformers import CanineConfig, CanineModel, CanineTokenizer, load_tf_weights_in_canine
from transformers.utils import logging


logging.set_verbosity_info()



def  _lowerCAmelCase				(				__a			,      __a      )  ->      Union[str, Any]:
     '''simple docstring'''







     _UpperCamelCase  :str       =CanineConfig()
     _UpperCamelCase  :str       =CanineModel(__a      )
     model.eval()

     print(F'''Building PyTorch model from configuration: {config}'''      )

     # Load weights from tf checkpoint
     load_tf_weights_in_canine(__a			,      __a			,      __a      )

     # Save pytorch-model (weights and configuration)
     print(F'''Save PyTorch model to {pytorch_dump_path}'''      )
     model.save_pretrained(__a      )

     # Save tokenizer files
     _UpperCamelCase  :Tuple       =CanineTokenizer()
     print(F'''Save tokenizer files to {pytorch_dump_path}'''      )
     tokenizer.save_pretrained(__a      )


if __name__ == "__main__":
      _lowerCamelCase :				List[str]														= argparse.ArgumentParser()
      # Required parameters
      parser.add_argument(
          """--tf_checkpoint_path""",
          default=None,
          type=str,
          required=True,
          help="""Path to the TensorFlow checkpoint. Should end with model.ckpt""",
      )
      parser.add_argument(
          """--pytorch_dump_path""",
          default=None,
          type=str,
          required=True,
          help="""Path to a folder where the PyTorch model will be placed.""",
      )
      _lowerCamelCase :				Dict														= parser.parse_args()
      convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.pytorch_dump_path)
"""simple docstring"""






def     a_		(   lowerCamelCase			):
				if num < 0:
								return -1
				return 1 if num else 0



def     a_		(   ):
				assert signum(5			) == 1
				assert signum(-5			) == -1
				assert signum(0			) == 0


if __name__ == "__main__":
						print(signum(12))
						print(signum(-12))
						print(signum(0))



