'''simple docstring'''

import argparse

import torch

from transformers import RoFormerConfig, RoFormerForMaskedLM, load_tf_weights_in_roformer
from transformers.utils import logging


logging.set_verbosity_info()



def  _lowerCAmelCase				(				__a			,      __a			,      __a      )  ->      Dict:
     '''simple docstring'''







     _UpperCamelCase  :List[str]       =RoFormerConfig.from_json_file(__a      )
     print(F'''Building PyTorch model from configuration: {config}'''      )
     _UpperCamelCase  :Dict       =RoFormerForMaskedLM(__a      )

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

     # Save pytorch-model
     print(F'''Save PyTorch model to {pytorch_dump_path}'''      )
     torch.save(model.state_dict()			,      __a			,      _use_new_zipfile_serialization=__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 path."""
      )
      parser.add_argument(
          """--bert_config_file""",
          default=None,
          type=str,
          required=True,
          help=(
              """The config json file corresponding to the pre-trained BERT model. \n"""
              """This specifies the model architecture."""
          ),
      )
      parser.add_argument(
          """--pytorch_dump_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
      )
      _lowerCamelCase :				Any														= parser.parse_args()
      convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.bert_config_file, args.pytorch_dump_path)

"""simple docstring"""






from collections import namedtuple

UpperCamelCase_						   =   namedtuple('from_to', 'from_ to')

UpperCamelCase_						   =   {
    'atm': from_to(1, 1),
    'pascal': from_to(0.0_00_00_98, 101325),
    'bar': from_to(0.98_69_23, 1.0_13_25),
    'kilopascal': from_to(0.00_98_69_23, 1_01.3_25),
    'megapascal': from_to(9.8_69_23, 0.10_13_25),
    'psi': from_to(0.06_80_46, 14.69_59),
    'inHg': from_to(0.0_33_42_11, 29.92_13),
    'torr': from_to(0.00_13_15_79, 760),
}
def    UpperCamelCase						(					UpperCAmelCase ,   UpperCAmelCase ,   UpperCAmelCase     )						->float:

   """simple docstring"""



   if from_type not in PRESSURE_CONVERSION:
      raise ValueError(
          F'''Invalid \'from_type\' value: {from_type!r}  Supported values are:\n'''
          + ", ".join(UpperCAmelCase     )     )
   if to_type not in PRESSURE_CONVERSION:
      raise ValueError(
          F'''Invalid \'to_type\' value: {to_type!r}.  Supported values are:\n'''
          + ", ".join(UpperCAmelCase     )     )
   return (
       value * PRESSURE_CONVERSION[from_type].from_ * PRESSURE_CONVERSION[to_type].to
   )


if __name__ == "__main__":
      import doctest

      doctest.testmod()