

import argparse

from transformers import CanineConfig, CanineModel, CanineTokenizer, load_tf_weights_in_canine
from transformers.utils import logging


logging.set_verbosity_info()



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							List[Any]		,    SCREAMING_SNAKE_CASE_:							Optional[Any] )     -> Dict:




				'''simple docstring'''





				A__            =     CanineConfig()
				A__            =     CanineModel(SCREAMING_SNAKE_CASE_ )
				model.eval()

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

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

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

				# Save tokenizer files
				A__            =     CanineTokenizer()
				print(F'Save tokenizer files to {pytorch_dump_path}' )
				tokenizer.save_pretrained(SCREAMING_SNAKE_CASE_ )


if __name__ == "__main__":
	lowerCAmelCase__						=	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.""",
	)
	lowerCAmelCase__						=	parser.parse_args()
	convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.pytorch_dump_path)




from .balanced_parentheses import balanced_parentheses
from .stack import Stack



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							str )     -> int:




				'''simple docstring'''





				return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(SCREAMING_SNAKE_CASE_		,    -1 )



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							str )     -> str:




				'''simple docstring'''





				if not balanced_parentheses(SCREAMING_SNAKE_CASE_ ):
								raise ValueError("Mismatched parentheses" )
				A__            =     Stack()
				A__            =     []
				for char in expression_str:
								if char.isalpha() or char.isdigit():
												postfix.append(SCREAMING_SNAKE_CASE_ )
								elif char == "(":
												stack.push(SCREAMING_SNAKE_CASE_ )
								elif char == ")":
												while not stack.is_empty() and stack.peek() != "(":
																postfix.append(stack.pop() )
												stack.pop()
								else:
												while not stack.is_empty() and precedence(SCREAMING_SNAKE_CASE_ ) <= precedence(stack.peek() ):
																postfix.append(stack.pop() )
												stack.push(SCREAMING_SNAKE_CASE_ )
				while not stack.is_empty():
								postfix.append(stack.pop() )
				return " ".join(SCREAMING_SNAKE_CASE_ )


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

	testmod()
	lowerCAmelCase__						=	"""a+b*(c^d-e)^(f+g*h)-i"""

	print("""Infix to Postfix Notation demonstration:\n""")
	print("""Infix notation: """ + expression)
	print("""Postfix notation: """ + infix_to_postfix(expression))

