
import argparse

from transformers import TaConfig, TaForConditionalGeneration, load_tf_weights_in_ta
from transformers.utils import logging


logging.set_verbosity_info()






def        lowerCamelCase__    (    __lowerCAmelCase  :  Union[str, Any]   ,							__lowerCAmelCase  :  Tuple   ,							__lowerCAmelCase  :  Union[str, Any]    ):




			"""simple docstring"""


			lowerCAmelCase_      =     TaConfig.from_json_file(__lowerCAmelCase    )
			print(F"""Building PyTorch model from configuration: {config}"""    )
			lowerCAmelCase_      =     TaForConditionalGeneration(__lowerCAmelCase    )

			# Load weights from tf checkpoint
			load_tf_weights_in_ta(__lowerCAmelCase   ,							__lowerCAmelCase   ,							__lowerCAmelCase    )

			# Save pytorch-model
			print(F"""Save PyTorch model to {pytorch_dump_path}"""    )
			model.save_pretrained(__lowerCAmelCase    )


if __name__ == "__main__":
			_A       =					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(
			    "--config_file",
			    default=None,
			    type=str,
			    required=True,
			    help=(
			        "The config json file corresponding to the pre-trained T5 model. \nThis specifies the model architecture."
			    ),
			)
			parser.add_argument(
			    "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
			)
			_A       =					parser.parse_args()
			convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path)





from __future__ import annotations






def        lowerCamelCase__    (    __lowerCAmelCase  :  int   ,							__lowerCAmelCase  :  int   ,							__lowerCAmelCase  :  int    ):




			"""simple docstring"""


			assert n > 1 and a > 0 and greatest_common_divisor(__lowerCAmelCase   ,							__lowerCAmelCase    ) == 1
			((lowerCAmelCase_)     ,  (lowerCAmelCase_)     ,  (lowerCAmelCase_))      =     extended_gcd(__lowerCAmelCase   ,							__lowerCAmelCase    )  # Implemented below
			lowerCAmelCase_      =     (b * s) % n
			return x






def        lowerCamelCase__    (    __lowerCAmelCase  :  int   ,							__lowerCAmelCase  :  int    ):




			"""simple docstring"""


			((lowerCAmelCase_)     ,  (lowerCAmelCase_))      =     extended_euclid(__lowerCAmelCase   ,							__lowerCAmelCase    )  # Implemented below
			if b < 0:
						lowerCAmelCase_      =     (b % n + n) % n
			return b






def        lowerCamelCase__    (    __lowerCAmelCase  :  int   ,							__lowerCAmelCase  :  int   ,							__lowerCAmelCase  :  int    ):




			"""simple docstring"""


			lowerCAmelCase_      =     invert_modulo(__lowerCAmelCase   ,							__lowerCAmelCase    )
			lowerCAmelCase_      =     (b * s) % n
			return x






def        lowerCamelCase__    (    __lowerCAmelCase  :  int   ,							__lowerCAmelCase  :  int    ):




			"""simple docstring"""


			assert a >= 0 and b >= 0

			if b == 0:
						lowerCAmelCase_     ,  lowerCAmelCase_     ,  lowerCAmelCase_      =     a, 1, 0
			else:
						((lowerCAmelCase_)     ,  (lowerCAmelCase_)     ,  (lowerCAmelCase_))      =     extended_gcd(__lowerCAmelCase   ,							a % b    )
						lowerCAmelCase_      =     q
						lowerCAmelCase_      =     p - q * (a // b)

			assert a % d == 0 and b % d == 0
			assert d == a * x + b * y

			return (d, x, y)






def        lowerCamelCase__    (    __lowerCAmelCase  :  int   ,							__lowerCAmelCase  :  int    ):




			"""simple docstring"""


			if b == 0:
						return (1, 0)
			((lowerCAmelCase_)     ,  (lowerCAmelCase_))      =     extended_euclid(__lowerCAmelCase   ,							a % b    )
			lowerCAmelCase_      =     a // b
			return (y, x - k * y)






def        lowerCamelCase__    (    __lowerCAmelCase  :  int   ,							__lowerCAmelCase  :  int    ):




			"""simple docstring"""


			if a < b:
						lowerCAmelCase_     ,  lowerCAmelCase_      =     b, a

			while a % b != 0:
						lowerCAmelCase_     ,  lowerCAmelCase_      =     b, a % b

			return b


if __name__ == "__main__":
			from doctest import testmod

			testmod(name="modular_division", verbose=True)
			testmod(name="modular_division2", verbose=True)
			testmod(name="invert_modulo", verbose=True)
			testmod(name="extended_gcd", verbose=True)
			testmod(name="extended_euclid", verbose=True)
			testmod(name="greatest_common_divisor", verbose=True)



