


"""simple docstring"""



import argparse

import torch

from transformers import MobileBertConfig, MobileBertForPreTraining, load_tf_weights_in_mobilebert
from transformers.utils import logging


logging.set_verbosity_info()







def 						__lowerCAmelCase		(		lowercase						:						Optional[Any]		,							lowercase						:						Optional[int]		,							lowercase						:						List[str]				)			->		int:


    """simple docstring"""





    snake_case					:   Tuple         =					MobileBertConfig.from_json_file(lowercase				)
    print(F'Building PyTorch model from configuration: {config}'				)
    snake_case					:   Union[str, Any]         =					MobileBertForPreTraining(lowercase				)
    # Load weights from tf checkpoint
    snake_case					:   Optional[Any]         =					load_tf_weights_in_mobilebert(lowercase		,							lowercase		,							lowercase				)
    # Save pytorch-model
    print(F'Save PyTorch model to {pytorch_dump_path}'				)
    torch.save(model.state_dict()		,							lowercase				)


if __name__ == "__main__":
  __snake_case         =					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(
      """--mobilebert_config_file""",
      default=None,
      type=str,
      required=True,
      help=(
          """The config json file corresponding to the pre-trained MobileBERT 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."""
  )
  __snake_case         =					parser.parse_args()
  convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.mobilebert_config_file, args.pytorch_dump_path)









"""simple docstring"""



from __future__ import annotations

from cmath import sqrt







def 						__lowerCAmelCase		(		lowercase						:						int		,							lowercase						:						int		,							lowercase						:						int				)			->		tuple[complex, complex]:


    """simple docstring"""





    if a == 0:
        raise ValueError("Coefficient 'a' must not be zero."				)
    snake_case					:   Dict         =					b * b - 4 * a * c

    snake_case					:   Tuple         =					(-b + sqrt(lowercase				)) / (2 * a)
    snake_case					:   Optional[int]         =					(-b - sqrt(lowercase				)) / (2 * a)

    return (
        root_a.real if not root_a.imag else root_a,
        root_a.real if not root_a.imag else root_a,
    )







def 						__lowerCAmelCase		(		)			->		List[Any]:


    """simple docstring"""





    snake_case      ,snake_case					:   Optional[Any]         =					quadratic_roots(a=5		,							b=6		,							c=1				)
    print(F'The solutions are: {solutiona} and {solutiona}'				)


if __name__ == "__main__":
  main()





