

"""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 						__SCREAMING_SNAKE_CASE						(   A_		,  A_				):
	# Initialize PyTorch model
	lowerCAmelCase__			:		List[str]						       =			CanineConfig()
	lowerCAmelCase__			:		Optional[Any]						       =			CanineModel(A_				)
	model.eval()

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

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

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

	# Save tokenizer files
	lowerCAmelCase__			:		int						       =			CanineTokenizer()
	print(f'Save tokenizer files to {pytorch_dump_path}'				)
	tokenizer.save_pretrained(A_				)


if __name__ == "__main__":
							__UpperCamelCase						:   Any							   =	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.''',
							)
							__UpperCamelCase						:   int							   =	parser.parse_args()
							convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.pytorch_dump_path)







"""simple docstring"""





from itertools import permutations

def 						__SCREAMING_SNAKE_CASE						(   A_ = 5				):
	if gon_side < 3 or gon_side > 5:
		raise ValueError('''gon_side must be in the range [3, 5]'''				)

	# Since it's 16, we know 10 is on the outer ring
	# Put the big numbers at the end so that they are never the first number
	lowerCAmelCase__			:		str						       =			list(range(gon_side + 1		,  0		,  -1				)				)
	lowerCAmelCase__			:		int						       =			list(range(gon_side + 2		,  gon_side * 2 + 1				)				)

	for perm in permutations(small_numbers + big_numbers				):
		lowerCAmelCase__			:		Optional[Any]						       =			generate_gon_ring(A_		,  list(A_				)				)
		if is_magic_gon(A_				):
			return int(''''''.join(str(A_				) for n in numbers				)				)

	lowerCAmelCase__			:		Tuple						       =			f'Magic {gon_side}-gon ring is impossible'
	raise ValueError(A_				)

def 						__SCREAMING_SNAKE_CASE						(   A_		,  A_				):
	lowerCAmelCase__			:		Dict						       =			[0] * (gon_side * 3)
	lowerCAmelCase__			:		Optional[int]						       =			perm[0:3]
	perm.append(perm[1]				)

	lowerCAmelCase__			:		int						       =			1 if gon_side < 5 else 2

	for i in range(1		,  len(A_				) // 3 + magic_number				):
		lowerCAmelCase__			:		List[str]						       =			perm[2 * i + 1]
		lowerCAmelCase__			:		Optional[int]						       =			result[3 * i - 1]
		lowerCAmelCase__			:		List[Any]						       =			perm[2 * i + 2]

	return result

def 						__SCREAMING_SNAKE_CASE						(   A_				):
	if len(A_				) % 3 != 0:
		raise ValueError('''a gon ring should have a length that is a multiple of 3'''				)

	if min(numbers[::3]				) != numbers[0]:
		return False

	lowerCAmelCase__			:		int						       =			sum(numbers[:3]				)

	return all(sum(numbers[i : i + 3]				) == total for i in range(3		,  len(A_				)		,  3				)				)


if __name__ == "__main__":
							print(solution())




