code: 
  
  
  
  
  """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)
  
  
style_context: 
  
  
  
  
  """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()
  
  