


import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase						=		get_tests_dir('''fixtures/test_sentencepiece_no_bos.model''')





@require_sentencepiece
@require_tokenizers
class  _a							(    _lowercase					,						unittest.TestCase):
 _a  :  Optional[int]				   =							PegasusTokenizer
 _a  :  Any				   =							PegasusTokenizerFast
 _a  :  Optional[Any]				   =							True
 _a  :  Optional[Any]				   =							True




 def 							UpperCAmelCase__( self						:		List[Any]		)->	Optional[Any]:
   super().setUp()

   # We have a SentencePiece fixture for testing
   lowerCAmelCase__       :      Union[str, Any]   					= PegasusTokenizer(_SCREAMING_SNAKE_CASE		)
   tokenizer.save_pretrained(self.tmpdirname		)




 @cached_property
 def 							UpperCAmelCase__( self						:		int		)->	List[Any]:
   return PegasusTokenizer.from_pretrained('''google/pegasus-large'''		)




 def 							UpperCAmelCase__( self						:		List[Any]		, **_SCREAMING_SNAKE_CASE						:		List[str]		)->	PegasusTokenizer:
   return PegasusTokenizer.from_pretrained(self.tmpdirname		, **_SCREAMING_SNAKE_CASE		)




 def 							UpperCAmelCase__( self						:		List[str]		, _SCREAMING_SNAKE_CASE						:		Any		)->	str:
   return ("This is a test", "This is a test")




 def 							UpperCAmelCase__( self						:		Tuple		)->	Union[str, Any]:
   lowerCAmelCase__       :      List[Any]   					= '''</s>'''
   lowerCAmelCase__       :      Optional[int]   					= 1

   self.assertEqual(self.get_tokenizer()._convert_token_to_id(_SCREAMING_SNAKE_CASE		)		, _SCREAMING_SNAKE_CASE		)
   self.assertEqual(self.get_tokenizer()._convert_id_to_token(_SCREAMING_SNAKE_CASE		)		, _SCREAMING_SNAKE_CASE		)




 def 							UpperCAmelCase__( self						:		Optional[int]		)->	Optional[int]:
   lowerCAmelCase__       :      Tuple   					= list(self.get_tokenizer().get_vocab().keys()		)

   self.assertEqual(vocab_keys[0]		, '''<pad>'''		)
   self.assertEqual(vocab_keys[1]		, '''</s>'''		)
   self.assertEqual(vocab_keys[-1]		, '''v'''		)
   self.assertEqual(len(_SCREAMING_SNAKE_CASE		)		, 1103		)




 def 							UpperCAmelCase__( self						:		Tuple		)->	Optional[int]:
   self.assertEqual(self.get_tokenizer().vocab_size		, 1103		)




 def 							UpperCAmelCase__( self						:		Optional[int]		)->	List[str]:
   lowerCAmelCase__       :      Dict   					= self.rust_tokenizer_class.from_pretrained(self.tmpdirname		)
   lowerCAmelCase__       :      Union[str, Any]   					= self.tokenizer_class.from_pretrained(self.tmpdirname		)
   lowerCAmelCase__       :      Optional[Any]   					= (
       '''Let\'s see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important'''
       ''' </s> <pad> <pad> <pad>'''
   )
   lowerCAmelCase__       :      Any   					= rust_tokenizer([raw_input_str]		, return_tensors=_SCREAMING_SNAKE_CASE		, add_special_tokens=_SCREAMING_SNAKE_CASE		).input_ids[0]
   lowerCAmelCase__       :      Tuple   					= py_tokenizer([raw_input_str]		, return_tensors=_SCREAMING_SNAKE_CASE		, add_special_tokens=_SCREAMING_SNAKE_CASE		).input_ids[0]
   self.assertListEqual(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)




 def 							UpperCAmelCase__( self						:		str		)->	Dict:
   lowerCAmelCase__       :      Optional[int]   					= self._large_tokenizer
   # <mask_1> masks whole sentence while <mask_2> masks single word
   lowerCAmelCase__       :      Any   					= '''<mask_1> To ensure a <mask_2> flow of bank resolutions.'''
   lowerCAmelCase__       :      Optional[int]   					= [2, 413, 615, 114, 3, 1971, 113, 1679, 1_0710, 107, 1]
   lowerCAmelCase__       :      Tuple   					= tokenizer([raw_input_str]		, return_tensors=_SCREAMING_SNAKE_CASE		).input_ids[0]
   self.assertListEqual(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)




 def 							UpperCAmelCase__( self						:		Dict		)->	int:
   lowerCAmelCase__       :      Tuple   					= self._large_tokenizer
   # The tracebacks for the following asserts are **better** without messages or self.assertEqual
   assert tokenizer.vocab_size == 9_6103
   assert tokenizer.pad_token_id == 0
   assert tokenizer.eos_token_id == 1
   assert tokenizer.offset == 103
   assert tokenizer.unk_token_id == tokenizer.offset + 2 == 105
   assert tokenizer.unk_token == "<unk>"
   assert tokenizer.model_max_length == 1024
   lowerCAmelCase__       :      str   					= '''To ensure a smooth flow of bank resolutions.'''
   lowerCAmelCase__       :      Union[str, Any]   					= [413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
   lowerCAmelCase__       :      List[str]   					= tokenizer([raw_input_str]		, return_tensors=_SCREAMING_SNAKE_CASE		).input_ids[0]
   self.assertListEqual(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)
   assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]		) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]




 @require_torch
 def 							UpperCAmelCase__( self						:		Any		)->	Tuple:
   lowerCAmelCase__       :      Tuple   					= ['''This is going to be way too long.''' * 150, '''short example''']
   lowerCAmelCase__       :      Tuple   					= ['''not super long but more than 5 tokens''', '''tiny''']
   lowerCAmelCase__       :      Dict   					= self._large_tokenizer(_SCREAMING_SNAKE_CASE		, padding=_SCREAMING_SNAKE_CASE		, truncation=_SCREAMING_SNAKE_CASE		, return_tensors='''pt'''		)
   lowerCAmelCase__       :      List[str]   					= self._large_tokenizer(
       text_target=_SCREAMING_SNAKE_CASE		, max_length=5		, padding=_SCREAMING_SNAKE_CASE		, truncation=_SCREAMING_SNAKE_CASE		, return_tensors='''pt'''		)

   assert batch.input_ids.shape == (2, 1024)
   assert batch.attention_mask.shape == (2, 1024)
   assert targets["input_ids"].shape == (2, 5)
   assert len(_SCREAMING_SNAKE_CASE		) == 2  # input_ids, attention_mask.




 @slow
 def 							UpperCAmelCase__( self						:		Any		)->	Any:
   # fmt: off
   lowerCAmelCase__       :      int   					= {'''input_ids''': [[3_8979, 143, 1_8485, 606, 130, 2_6669, 8_7686, 121, 5_4189, 1129, 111, 2_6669, 8_7686, 121, 9114, 1_4787, 121, 1_3249, 158, 592, 956, 121, 1_4621, 3_1576, 143, 6_2613, 108, 9688, 930, 4_3430, 1_1562, 6_2613, 304, 108, 1_1443, 897, 108, 9314, 1_7415, 6_3399, 108, 1_1443, 7614, 1_8316, 118, 4284, 7148, 1_2430, 143, 1400, 2_5703, 158, 111, 4284, 7148, 1_1772, 143, 2_1297, 1064, 158, 122, 204, 3506, 1754, 1133, 1_4787, 1581, 115, 3_3224, 4482, 111, 1355, 110, 2_9173, 317, 5_0833, 108, 2_0147, 9_4665, 111, 7_7198, 107, 1], [110, 6_2613, 117, 638, 112, 1133, 121, 2_0098, 1355, 7_9050, 1_3872, 135, 1596, 5_3541, 1352, 141, 1_3039, 5542, 124, 302, 518, 111, 268, 2956, 115, 149, 4427, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [139, 1235, 2799, 1_8289, 1_7780, 204, 109, 9474, 1296, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
   # fmt: on

   self.tokenizer_integration_test_util(
       expected_encoding=_SCREAMING_SNAKE_CASE		, model_name='''google/bigbird-pegasus-large-arxiv'''		, revision='''ba85d0851d708441f91440d509690f1ab6353415'''		, )





@require_sentencepiece
@require_tokenizers
class  _a							(    _lowercase					,						unittest.TestCase):
 _a  :  int				   =							PegasusTokenizer
 _a  :  List[str]				   =							PegasusTokenizerFast
 _a  :  Union[str, Any]				   =							True
 _a  :  Tuple				   =							True




 def 							UpperCAmelCase__( self						:		Dict		)->	List[str]:
   super().setUp()

   # We have a SentencePiece fixture for testing
   lowerCAmelCase__       :      List[str]   					= PegasusTokenizer(_SCREAMING_SNAKE_CASE		, offset=0		, mask_token_sent=_SCREAMING_SNAKE_CASE		, mask_token='''[MASK]'''		)
   tokenizer.save_pretrained(self.tmpdirname		)




 @cached_property
 def 							UpperCAmelCase__( self						:		str		)->	Dict:
   return PegasusTokenizer.from_pretrained('''google/bigbird-pegasus-large-arxiv'''		)




 def 							UpperCAmelCase__( self						:		Optional[Any]		, **_SCREAMING_SNAKE_CASE						:		str		)->	PegasusTokenizer:
   return PegasusTokenizer.from_pretrained(self.tmpdirname		, **_SCREAMING_SNAKE_CASE		)




 def 							UpperCAmelCase__( self						:		Dict		, _SCREAMING_SNAKE_CASE						:		Dict		)->	Dict:
   return ("This is a test", "This is a test")




 def 							UpperCAmelCase__( self						:		str		)->	Tuple:
   lowerCAmelCase__       :      Optional[int]   					= self.rust_tokenizer_class.from_pretrained(self.tmpdirname		)
   lowerCAmelCase__       :      Dict   					= self.tokenizer_class.from_pretrained(self.tmpdirname		)
   lowerCAmelCase__       :      Any   					= (
       '''Let\'s see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>'''
       ''' <pad> <pad> <pad>'''
   )
   lowerCAmelCase__       :      Dict   					= rust_tokenizer([raw_input_str]		, return_tensors=_SCREAMING_SNAKE_CASE		, add_special_tokens=_SCREAMING_SNAKE_CASE		).input_ids[0]
   lowerCAmelCase__       :      Tuple   					= py_tokenizer([raw_input_str]		, return_tensors=_SCREAMING_SNAKE_CASE		, add_special_tokens=_SCREAMING_SNAKE_CASE		).input_ids[0]
   self.assertListEqual(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)




 @require_torch
 def 							UpperCAmelCase__( self						:		List[Any]		)->	int:
   lowerCAmelCase__       :      str   					= ['''This is going to be way too long.''' * 1000, '''short example''']
   lowerCAmelCase__       :      Any   					= ['''not super long but more than 5 tokens''', '''tiny''']
   lowerCAmelCase__       :      Union[str, Any]   					= self._large_tokenizer(_SCREAMING_SNAKE_CASE		, padding=_SCREAMING_SNAKE_CASE		, truncation=_SCREAMING_SNAKE_CASE		, return_tensors='''pt'''		)
   lowerCAmelCase__       :      List[str]   					= self._large_tokenizer(
       text_target=_SCREAMING_SNAKE_CASE		, max_length=5		, padding=_SCREAMING_SNAKE_CASE		, truncation=_SCREAMING_SNAKE_CASE		, return_tensors='''pt'''		)

   assert batch.input_ids.shape == (2, 4096)
   assert batch.attention_mask.shape == (2, 4096)
   assert targets["input_ids"].shape == (2, 5)
   assert len(_SCREAMING_SNAKE_CASE		) == 2  # input_ids, attention_mask.




 def 							UpperCAmelCase__( self						:		Optional[int]		)->	Union[str, Any]:
   lowerCAmelCase__       :      List[Any]   					= (
       '''This is an example string that is used to test the original TF implementation against the HF'''
       ''' implementation'''
   )

   lowerCAmelCase__       :      str   					= self._large_tokenizer(_SCREAMING_SNAKE_CASE		).input_ids

   self.assertListEqual(
       _SCREAMING_SNAKE_CASE		, [182, 117, 142, 587, 4211, 120, 117, 263, 112, 804, 109, 856, 2_5016, 3137, 464, 109, 2_6955, 3137, 1]		, )








from collections.abc import Iterable
from typing import Any





class  _a							:




	def __init__( self						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		int | None = None		)->	Tuple:
			lowerCAmelCase__       :      Union[str, Any]   					= value
			lowerCAmelCase__       :      Node | None   					= None  # Added in order to delete a node easier
			lowerCAmelCase__       :      Node | None   					= None
			lowerCAmelCase__       :      Node | None   					= None




	def __repr__( self						:		List[Any]		)->	str:
			from pprint import pformat

			if self.left is None and self.right is None:
					return str(self.value		)
			return pformat({F'{self.value}': (self.left, self.right)}		, indent=1		)





class  _a							:




	def __init__( self						:		Tuple		, _SCREAMING_SNAKE_CASE						:		Node | None = None		)->	int:
			lowerCAmelCase__       :      Dict   					= root




	def __str__( self						:		Tuple		)->	str:
			return str(self.root		)




	def 							UpperCAmelCase__( self						:		List[str]		, _SCREAMING_SNAKE_CASE						:		Node		, _SCREAMING_SNAKE_CASE						:		Node | None		)->	None:
			if new_children is not None:  # reset its kids
					lowerCAmelCase__       :      Union[str, Any]   					= node.parent
			if node.parent is not None:  # reset its parent
					if self.is_right(_SCREAMING_SNAKE_CASE		):  # If it is the right children
							lowerCAmelCase__       :      List[str]   					= new_children
					else:
							lowerCAmelCase__       :      Any   					= new_children
			else:
					lowerCAmelCase__       :      Optional[Any]   					= new_children




	def 							UpperCAmelCase__( self						:		List[Any]		, _SCREAMING_SNAKE_CASE						:		Node		)->	bool:
			if node.parent and node.parent.right:
					return node == node.parent.right
			return False




	def 							UpperCAmelCase__( self						:		int		)->	bool:
			return self.root is None




	def 							UpperCAmelCase__( self						:		Optional[int]		, _SCREAMING_SNAKE_CASE						:		Optional[int]		)->	None:
			lowerCAmelCase__       :      Any   					= Node(_SCREAMING_SNAKE_CASE		)  # create a new Node
			if self.empty():  # if Tree is empty
					lowerCAmelCase__       :      Optional[Any]   					= new_node  # set its root
			else:  # Tree is not empty
					lowerCAmelCase__       :      str   					= self.root  # from root
					if parent_node is None:
							return
					while True:  # While we don't get to a leaf
							if value < parent_node.value:  # We go left
									if parent_node.left is None:
											lowerCAmelCase__       :      Dict   					= new_node  # We insert the new node in a leaf
											break
									else:
											lowerCAmelCase__       :      List[Any]   					= parent_node.left
							else:
									if parent_node.right is None:
											lowerCAmelCase__       :      Tuple   					= new_node
											break
									else:
											lowerCAmelCase__       :      Union[str, Any]   					= parent_node.right
					lowerCAmelCase__       :      Dict   					= parent_node




	def 							UpperCAmelCase__( self						:		str		, *_SCREAMING_SNAKE_CASE						:		List[Any]		)->	None:
			for value in values:
					self.__insert(_SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		Optional[int]		)->	Node | None:
			if self.empty():
					raise IndexError('''Warning: Tree is empty! please use another.'''		)
			else:
					lowerCAmelCase__       :      Union[str, Any]   					= self.root
					# use lazy evaluation here to avoid NoneType Attribute error
					while node is not None and node.value is not value:
							lowerCAmelCase__       :      List[str]   					= node.left if value < node.value else node.right
					return node




	def 							UpperCAmelCase__( self						:		Dict		, _SCREAMING_SNAKE_CASE						:		Node | None = None		)->	Node | None:
			if node is None:
					if self.root is None:
							return None
					lowerCAmelCase__       :      List[Any]   					= self.root

			if not self.empty():
					while node.right is not None:
							lowerCAmelCase__       :      str   					= node.right
			return node




	def 							UpperCAmelCase__( self						:		List[str]		, _SCREAMING_SNAKE_CASE						:		Node | None = None		)->	Node | None:
			if node is None:
					lowerCAmelCase__       :      Any   					= self.root
			if self.root is None:
					return None
			if not self.empty():
					lowerCAmelCase__       :      Dict   					= self.root
					while node.left is not None:
							lowerCAmelCase__       :      Tuple   					= node.left
			return node




	def 							UpperCAmelCase__( self						:		Any		, _SCREAMING_SNAKE_CASE						:		int		)->	None:
			lowerCAmelCase__       :      Optional[Any]   					= self.search(_SCREAMING_SNAKE_CASE		)  # Look for the node with that label
			if node is not None:
					if node.left is None and node.right is None:  # If it has no children
							self.__reassign_nodes(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)
					elif node.left is None:  # Has only right children
							self.__reassign_nodes(_SCREAMING_SNAKE_CASE		, node.right		)
					elif node.right is None:  # Has only left children
							self.__reassign_nodes(_SCREAMING_SNAKE_CASE		, node.left		)
					else:
							lowerCAmelCase__       :      Tuple   					= self.get_max(
							    node.left		)  # Gets the max value of the left branch
							self.remove(tmp_node.value		)  # type: ignore
							lowerCAmelCase__       :      Optional[Any]   					= (
							    tmp_node.value  # type: ignore
							)  # Assigns the value to the node to delete and keep tree structure




	def 							UpperCAmelCase__( self						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		Node | None		)->	Iterable:
			if node is not None:
					yield node  # Preorder Traversal
					yield from self.preorder_traverse(node.left		)
					yield from self.preorder_traverse(node.right		)




	def 							UpperCAmelCase__( self						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		Tuple=None		)->	Any:
			if traversal_function is None:
					return self.preorder_traverse(self.root		)
			else:
					return traversal_function(self.root		)




	def 							UpperCAmelCase__( self						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		list		, _SCREAMING_SNAKE_CASE						:		Node | None		)->	None:
			if node:
					self.inorder(_SCREAMING_SNAKE_CASE		, node.left		)
					arr.append(node.value		)
					self.inorder(_SCREAMING_SNAKE_CASE		, node.right		)




	def 							UpperCAmelCase__( self						:		Optional[Any]		, _SCREAMING_SNAKE_CASE						:		int		, _SCREAMING_SNAKE_CASE						:		Node		)->	int:
			lowerCAmelCase__       :      list[int]   					= []
			self.inorder(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)  # append all values to list using inorder traversal
			return arr[k - 1]






def 					lowerCamelCase_   (	_a	):




		"""simple docstring"""






		lowerCAmelCase__       :      List[str]   					= []
		if curr_node is not None:
				lowerCAmelCase__       :      Optional[int]   					= postorder(curr_node.left	) + postorder(curr_node.right	) + [curr_node]
		return node_list






def 					lowerCamelCase_   (	):




		"""simple docstring"""






		lowerCAmelCase__       :      List[Any]   					= (8, 3, 6, 1, 10, 14, 13, 4, 7)
		lowerCAmelCase__       :      str   					= BinarySearchTree()
		for i in testlist:
				t.insert(_a	)

		# Prints all the elements of the list in order traversal
		print(_a	)

		if t.search(6	) is not None:
				print('''The value 6 exists'''	)
		else:
				print('''The value 6 doesn\'t exist'''	)

		if t.search(-1	) is not None:
				print('''The value -1 exists'''	)
		else:
				print('''The value -1 doesn\'t exist'''	)

		if not t.empty():
				print('''Max Value: '''     ,       t.get_max().value	)  # type: ignore
				print('''Min Value: '''     ,       t.get_min().value	)  # type: ignore

		for i in testlist:
				t.remove(_a	)
				print(_a	)


if __name__ == "__main__":
		import doctest

		doctest.testmod(verbose=True)




