




from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

UpperCAmelCase_    =TypeVar("""T""")
UpperCAmelCase_    =TypeVar("""U""")


class 				__UpperCamelCase      (			Generic[T, U]	):





				'''simple docstring'''



				def __init__(			self							,			UpperCAmelCase_							,			UpperCAmelCase_    ):
											lowerCAmelCase =		key
											lowerCAmelCase =		val
											lowerCAmelCase =		0
											lowerCAmelCase =		None
											lowerCAmelCase =		None






				def __repr__(			self    ):
											return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
											    self.key							,			self.val							,			self.freq							,			self.next is not None							,			self.prev is not None    )




class 				__UpperCamelCase      (			Generic[T, U]	):





				'''simple docstring'''



				def __init__(			self    ):
											lowerCAmelCase =		DoubleLinkedListNode(UpperCAmelCase_							,			UpperCAmelCase_    )
											lowerCAmelCase =		DoubleLinkedListNode(UpperCAmelCase_							,			UpperCAmelCase_    )
											lowerCAmelCase ,  lowerCAmelCase =		self.rear, self.head



				def __repr__(			self    ):
											lowerCAmelCase =		['''DoubleLinkedList''']
											lowerCAmelCase =		self.head
											while node.next is not None:
																		rep.append(str(UpperCAmelCase_    )    )
																		lowerCAmelCase =		node.next
											rep.append(str(self.rear    )    )
											return ",\n    ".join(UpperCAmelCase_    )



				def    __snake_case		(			self							,			UpperCAmelCase_    ):
											lowerCAmelCase =		self.rear.prev

											# All nodes other than self.head are guaranteed to have non-None previous
											assert previous is not None

											lowerCAmelCase =		node
											lowerCAmelCase =		previous
											lowerCAmelCase =		node
											lowerCAmelCase =		self.rear
											node.freq += 1
											self._position_node(UpperCAmelCase_    )



				def    __snake_case		(			self							,			UpperCAmelCase_    ):

											while node.prev is not None and node.prev.freq > node.freq:
																		# swap node with previous node
																		lowerCAmelCase =		node.prev

																		lowerCAmelCase =		previous_node.prev
																		lowerCAmelCase =		node.prev
																		lowerCAmelCase =		previous_node
																		lowerCAmelCase =		node






				def    __snake_case		(			self							,			UpperCAmelCase_    ):

											if node.prev is None or node.next is None:
																		return None

											lowerCAmelCase =		node.next
											lowerCAmelCase =		node.prev
											lowerCAmelCase =		None
											lowerCAmelCase =		None
											return node




class 				__UpperCamelCase      (			Generic[T, U]	):





				'''simple docstring'''



				__a				:			dict[Callable[[T], U], LFUCache[T, U]]					    ={}



				def __init__(			self							,			UpperCAmelCase_    ):
											lowerCAmelCase =		DoubleLinkedList()
											lowerCAmelCase =		capacity
											lowerCAmelCase =		0
											lowerCAmelCase =		0
											lowerCAmelCase =		0
											lowerCAmelCase =		{}



				def __repr__(			self    ):
											return (
											    F"""CacheInfo(hits={self.hits}, misses={self.miss}, """
											    F"""capacity={self.capacity}, current_size={self.num_keys})"""
											)



				def __contains__(			self							,			UpperCAmelCase_    ):
											return key in self.cache



				def    __snake_case		(			self							,			UpperCAmelCase_    ):

											if key in self.cache:
																		self.hits += 1
																		lowerCAmelCase =		self.cache[key]
																		lowerCAmelCase =		self.list.remove(self.cache[key]    )
																		assert node == value_node

																		# node is guaranteed not None because it is in self.cache
																		assert node is not None
																		self.list.add(UpperCAmelCase_    )
																		return node.val
											self.miss += 1
											return None



				def    __snake_case		(			self							,			UpperCAmelCase_							,			UpperCAmelCase_    ):

											if key not in self.cache:
																		if self.num_keys >= self.capacity:
																									# delete first node when over capacity
																									lowerCAmelCase =		self.list.head.next

																									# guaranteed to have a non-None first node when num_keys > 0
																									# explain to type checker via assertions
																									assert first_node is not None
																									assert first_node.key is not None
																									assert self.list.remove(UpperCAmelCase_    ) is not None
																									# first_node guaranteed to be in list

																									del self.cache[first_node.key]
																									self.num_keys -= 1
																		lowerCAmelCase =		DoubleLinkedListNode(UpperCAmelCase_							,			UpperCAmelCase_    )
																		self.list.add(self.cache[key]    )
																		self.num_keys += 1

											else:
																		lowerCAmelCase =		self.list.remove(self.cache[key]    )
																		assert node is not None  # node guaranteed to be in list
																		lowerCAmelCase =		value
																		self.list.add(UpperCAmelCase_    )






				@classmethod
				def    __snake_case		(			cls							,			UpperCAmelCase_ = 1_28    ):

											def cache_decorator_inner(UpperCAmelCase_    ) -> Callable[..., U]:
																		def cache_decorator_wrapper(*UpperCAmelCase_    ) -> U:
																									if func not in cls.decorator_function_to_instance_map:
																																lowerCAmelCase =		LFUCache(UpperCAmelCase_    )

																									lowerCAmelCase =		cls.decorator_function_to_instance_map[func].get(args[0]    )
																									if result is None:
																																lowerCAmelCase =		func(*UpperCAmelCase_    )
																																cls.decorator_function_to_instance_map[func].put(args[0]							,			UpperCAmelCase_    )
																									return result

																		def cache_info() -> LFUCache[T, U]:
																									return cls.decorator_function_to_instance_map[func]

																		setattr(UpperCAmelCase_							,			'''cache_info'''							,			UpperCAmelCase_    )  # noqa: B010

																		return cache_decorator_wrapper

											return cache_decorator_inner


if __name__ == "__main__":
		import doctest

		doctest.testmod()









import argparse

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


logging.set_verbosity_info()



def    UpperCAmelCase							(  _snake_case    ,			_snake_case				):
							# Initialize PyTorch model
							lowerCAmelCase =		CanineConfig()
							lowerCAmelCase =		CanineModel(_snake_case				)
							model.eval()

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

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

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

							# Save tokenizer files
							lowerCAmelCase =		CanineTokenizer()
							print(F"""Save tokenizer files to {pytorch_dump_path}"""				)
							tokenizer.save_pretrained(_snake_case				)


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



