




"""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   UpperCamelCase__     (		lowercase__  :     Optional[int]       ,     lowercase__  :     Dict   ):
		# Initialize PyTorch model
		snake_case		:						Optional[int]								=				CanineConfig()
		snake_case		:						Any								=				CanineModel(lowercase__   )
		model.eval()

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

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

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

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


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. 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.",
							)
							__A 		=			parser.parse_args()
							convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.pytorch_dump_path)







"""simple docstring"""

def   UpperCamelCase__     (		lowercase__  :     int   ):
		if not isinstance(lowercase__       ,     lowercase__   ):
				snake_case		:						Optional[Any]								=				F'''Input value of [number={number}] must be an integer'''
				raise TypeError(lowercase__   )
		if number < 0 or number % 2 == 1:
				return False
		snake_case		:						str								=				int(number**0.5   )
		return number == number_sqrt * (number_sqrt + 1)


if __name__ == "__main__":
							import doctest

							doctest.testmod()

