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      :  Any      						=						get_tests_dir("fixtures/test_sentencepiece_no_bos.model")
@require_sentencepiece
@require_tokenizers
class        __snake_case  (SCREAMING_SNAKE_CASE_						,	unittest.TestCase		):
				lowerCAmelCase__				=     PegasusTokenizer
				lowerCAmelCase__				=     PegasusTokenizerFast
				lowerCAmelCase__				=     True
				lowerCAmelCase__				=     True



				def       SCREAMING_SNAKE_CASE       (      self      :		Union[str, Any]      )  ->    str:





								'''simple docstring'''




								super().setUp()

								# We have a SentencePiece fixture for testing
								_lowerCAmelCase    :    List[str]										=      PegasusTokenizer(UpperCamelCase__      )
								tokenizer.save_pretrained(self.tmpdirname      )



				@cached_property
				def       SCREAMING_SNAKE_CASE       (      self      :		Tuple      )  ->    List[str]:





								'''simple docstring'''




								return PegasusTokenizer.from_pretrained("""google/pegasus-large"""      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Optional[int]		,	**_UpperCAmelCase      :		Any      )  ->    Any:





								'''simple docstring'''




								return PegasusTokenizer.from_pretrained(self.tmpdirname		,	**UpperCamelCase__      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Optional[int]		,	_UpperCAmelCase      :		Tuple      )  ->    Tuple:





								'''simple docstring'''




								return ("This is a test", "This is a test")



				def       SCREAMING_SNAKE_CASE       (      self      :		Union[str, Any]      )  ->    Any:





								'''simple docstring'''




								_lowerCAmelCase    :    List[Any]										=      '''</s>'''
								_lowerCAmelCase    :    List[Any]										=      1

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



				def       SCREAMING_SNAKE_CASE       (      self      :		Any      )  ->    List[Any]:





								'''simple docstring'''




								_lowerCAmelCase    :    Optional[int]										=      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(UpperCamelCase__      )		,	1103      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Any      )  ->    Tuple:





								'''simple docstring'''




								self.assertEqual(self.get_tokenizer().vocab_size		,	1103      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Dict      )  ->    Optional[Any]:





								'''simple docstring'''




								_lowerCAmelCase    :    Tuple										=      self.rust_tokenizer_class.from_pretrained(self.tmpdirname      )
								_lowerCAmelCase    :    List[str]										=      self.tokenizer_class.from_pretrained(self.tmpdirname      )
								_lowerCAmelCase    :    List[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    :    str										=      rust_tokenizer([raw_input_str]		,	return_tensors=UpperCamelCase__		,	add_special_tokens=UpperCamelCase__      ).input_ids[0]
								_lowerCAmelCase    :    List[str]										=      py_tokenizer([raw_input_str]		,	return_tensors=UpperCamelCase__		,	add_special_tokens=UpperCamelCase__      ).input_ids[0]
								self.assertListEqual(UpperCamelCase__		,	UpperCamelCase__      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Union[str, Any]      )  ->    str:





								'''simple docstring'''




								_lowerCAmelCase    :    List[str]										=      self._large_tokenizer
								# <mask_1> masks whole sentence while <mask_2> masks single word
								_lowerCAmelCase    :    List[str]										=      '''<mask_1> To ensure a <mask_2> flow of bank resolutions.'''
								_lowerCAmelCase    :    List[Any]										=      [2, 413, 615, 114, 3, 1971, 113, 1679, 1_0710, 107, 1]
								_lowerCAmelCase    :    Union[str, Any]										=      tokenizer([raw_input_str]		,	return_tensors=UpperCamelCase__      ).input_ids[0]
								self.assertListEqual(UpperCamelCase__		,	UpperCamelCase__      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Dict      )  ->    str:





								'''simple docstring'''




								_lowerCAmelCase    :    Any										=      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    :    List[Any]										=      '''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=UpperCamelCase__      ).input_ids[0]
								self.assertListEqual(UpperCamelCase__		,	UpperCamelCase__      )
								assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]      ) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]



				@require_torch
				def       SCREAMING_SNAKE_CASE       (      self      :		Union[str, Any]      )  ->    Optional[Any]:





								'''simple docstring'''




								_lowerCAmelCase    :    Union[str, Any]										=      ['''This is going to be way too long.''' * 150, '''short example''']
								_lowerCAmelCase    :    Tuple										=      ['''not super long but more than 5 tokens''', '''tiny''']
								_lowerCAmelCase    :    Tuple										=      self._large_tokenizer(UpperCamelCase__		,	padding=UpperCamelCase__		,	truncation=UpperCamelCase__		,	return_tensors="""pt"""      )
								_lowerCAmelCase    :    Any										=      self._large_tokenizer(
								    text_target=UpperCamelCase__		,	max_length=5		,	padding=UpperCamelCase__		,	truncation=UpperCamelCase__		,	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(UpperCamelCase__      ) == 2  # input_ids, attention_mask.



				@slow
				def       SCREAMING_SNAKE_CASE       (      self      :		Optional[int]      )  ->    Union[str, Any]:





								'''simple docstring'''




								_lowerCAmelCase    :    Optional[Any]										=      {'''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=UpperCamelCase__		,	model_name="""google/bigbird-pegasus-large-arxiv"""		,	revision="""ba85d0851d708441f91440d509690f1ab6353415"""		,	)






@require_sentencepiece
@require_tokenizers
class        __snake_case  (SCREAMING_SNAKE_CASE_						,	unittest.TestCase		):
				lowerCAmelCase__				=     PegasusTokenizer
				lowerCAmelCase__				=     PegasusTokenizerFast
				lowerCAmelCase__				=     True
				lowerCAmelCase__				=     True



				def       SCREAMING_SNAKE_CASE       (      self      :		Dict      )  ->    List[Any]:





								'''simple docstring'''




								super().setUp()

								# We have a SentencePiece fixture for testing
								_lowerCAmelCase    :    Optional[int]										=      PegasusTokenizer(UpperCamelCase__		,	offset=0		,	mask_token_sent=UpperCamelCase__		,	mask_token="""[MASK]"""      )
								tokenizer.save_pretrained(self.tmpdirname      )



				@cached_property
				def       SCREAMING_SNAKE_CASE       (      self      :		Union[str, Any]      )  ->    Optional[int]:





								'''simple docstring'''




								return PegasusTokenizer.from_pretrained("""google/bigbird-pegasus-large-arxiv"""      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Tuple		,	**_UpperCAmelCase      :		Union[str, Any]      )  ->    List[str]:





								'''simple docstring'''




								return PegasusTokenizer.from_pretrained(self.tmpdirname		,	**UpperCamelCase__      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Dict		,	_UpperCAmelCase      :		Dict      )  ->    Tuple:





								'''simple docstring'''




								return ("This is a test", "This is a test")



				def       SCREAMING_SNAKE_CASE       (      self      :		str      )  ->    List[Any]:





								'''simple docstring'''




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



				@require_torch
				def       SCREAMING_SNAKE_CASE       (      self      :		int      )  ->    List[str]:





								'''simple docstring'''




								_lowerCAmelCase    :    Dict										=      ['''This is going to be way too long.''' * 1000, '''short example''']
								_lowerCAmelCase    :    str										=      ['''not super long but more than 5 tokens''', '''tiny''']
								_lowerCAmelCase    :    List[Any]										=      self._large_tokenizer(UpperCamelCase__		,	padding=UpperCamelCase__		,	truncation=UpperCamelCase__		,	return_tensors="""pt"""      )
								_lowerCAmelCase    :    Dict										=      self._large_tokenizer(
								    text_target=UpperCamelCase__		,	max_length=5		,	padding=UpperCamelCase__		,	truncation=UpperCamelCase__		,	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(UpperCamelCase__      ) == 2  # input_ids, attention_mask.



				def       SCREAMING_SNAKE_CASE       (      self      :		Dict      )  ->    int:





								'''simple docstring'''




								_lowerCAmelCase    :    Tuple										=      (
								    '''This is an example string that is used to test the original TF implementation against the HF'''
								    ''' implementation'''
								)

								_lowerCAmelCase    :    List[str]										=      self._large_tokenizer(UpperCamelCase__      ).input_ids

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







from __future__ import annotations

from collections.abc import Iterator
from typing import Any
class        __snake_case  :



				def __init__(      self      :		List[Any]		,	_UpperCAmelCase      :		Any      )  ->    Dict:





								'''simple docstring'''




								_lowerCAmelCase    :    Any										=      data
								_lowerCAmelCase    :    Node | None										=      None






class        __snake_case  :



				def __init__(      self      :		Tuple      )  ->    Tuple:





								'''simple docstring'''




								_lowerCAmelCase    :    str										=      None
								_lowerCAmelCase    :    List[Any]										=      None



				def __iter__(      self      :		str      )  ->    Iterator[Any]:





								'''simple docstring'''




								_lowerCAmelCase    :    Optional[int]										=      self.head
								while self.head:
												yield node.data
												_lowerCAmelCase    :    List[str]										=      node.next
												if node == self.head:
																break



				def __len__(      self      :		Union[str, Any]      )  ->    int:





								'''simple docstring'''




								return sum(1 for _ in self      )



				def __repr__(      self      :		Optional[int]      )  ->    str:





								'''simple docstring'''




								return "->".join(str(_UpperCAmelCase      ) for item in iter(self      )      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Any		,	_UpperCAmelCase      :		Any      )  ->    None:





								'''simple docstring'''




								self.insert_nth(len(self      )		,	_UpperCAmelCase      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Dict		,	_UpperCAmelCase      :		Any      )  ->    None:





								'''simple docstring'''




								self.insert_nth(0		,	_UpperCAmelCase      )



				def       SCREAMING_SNAKE_CASE       (      self      :		List[str]		,	_UpperCAmelCase      :		int		,	_UpperCAmelCase      :		Any      )  ->    None:





								'''simple docstring'''




								if index < 0 or index > len(self      ):
												raise IndexError("""list index out of range."""      )
								_lowerCAmelCase    :    Optional[int]										=      Node(_UpperCAmelCase      )
								if self.head is None:
												_lowerCAmelCase    :    Tuple										=      new_node  # first node points itself
												_lowerCAmelCase    :    int										=      new_node
								elif index == 0:  # insert at head
												_lowerCAmelCase    :    Tuple										=      self.head
												_lowerCAmelCase    :    int										=      new_node
								else:
												_lowerCAmelCase    :    Union[str, Any]										=      self.head
												for _ in range(index - 1      ):
																_lowerCAmelCase    :    Optional[Any]										=      temp.next
												_lowerCAmelCase    :    Optional[int]										=      temp.next
												_lowerCAmelCase    :    Optional[int]										=      new_node
												if index == len(self      ) - 1:  # insert at tail
																_lowerCAmelCase    :    Optional[Any]										=      new_node



				def       SCREAMING_SNAKE_CASE       (      self      :		Dict      )  ->    str:





								'''simple docstring'''




								return self.delete_nth(0      )



				def       SCREAMING_SNAKE_CASE       (      self      :		List[str]      )  ->    Any:





								'''simple docstring'''




								return self.delete_nth(len(self      ) - 1      )



				def       SCREAMING_SNAKE_CASE       (      self      :		str		,	_UpperCAmelCase      :		int = 0      )  ->    Any:





								'''simple docstring'''




								if not 0 <= index < len(self      ):
												raise IndexError("""list index out of range."""      )
								_lowerCAmelCase    :    Optional[Any]										=      self.head
								if self.head == self.tail:  # just one node
												_lowerCAmelCase    :    Optional[Any]										=      None
								elif index == 0:  # delete head node
												_lowerCAmelCase    :    str										=      self.tail.next.next
												_lowerCAmelCase    :    List[str]										=      self.head.next
								else:
												_lowerCAmelCase    :    List[str]										=      self.head
												for _ in range(index - 1      ):
																_lowerCAmelCase    :    List[Any]										=      temp.next
												_lowerCAmelCase    :    List[str]										=      temp.next
												_lowerCAmelCase    :    Dict										=      temp.next.next
												if index == len(self      ) - 1:  # delete at tail
																_lowerCAmelCase    :    Optional[int]										=      temp
								return delete_node.data



				def       SCREAMING_SNAKE_CASE       (      self      :		int      )  ->    bool:





								'''simple docstring'''




								return len(self      ) == 0






def 							_UpperCAmelCase  ():
				'''simple docstring'''
				_lowerCAmelCase    :    Dict										=      CircularLinkedList()
				assert len(UpperCamelCase_       ) == 0
				assert circular_linked_list.is_empty() is True
				assert str(UpperCamelCase_       ) == ""

				try:
								circular_linked_list.delete_front()
								raise AssertionError  # This should not happen
				except IndexError:
								assert True  # This should happen

				try:
								circular_linked_list.delete_tail()
								raise AssertionError  # This should not happen
				except IndexError:
								assert True  # This should happen

				try:
								circular_linked_list.delete_nth(-1       )
								raise AssertionError
				except IndexError:
								assert True

				try:
								circular_linked_list.delete_nth(0       )
								raise AssertionError
				except IndexError:
								assert True

				assert circular_linked_list.is_empty() is True
				for i in range(5       ):
								assert len(UpperCamelCase_       ) == i
								circular_linked_list.insert_nth(UpperCamelCase_      ,    i + 1       )
				assert str(UpperCamelCase_       ) == "->".join(str(UpperCamelCase_       ) for i in range(1      ,    6       )       )

				circular_linked_list.insert_tail(6       )
				assert str(UpperCamelCase_       ) == "->".join(str(UpperCamelCase_       ) for i in range(1      ,    7       )       )
				circular_linked_list.insert_head(0       )
				assert str(UpperCamelCase_       ) == "->".join(str(UpperCamelCase_       ) for i in range(0      ,    7       )       )

				assert circular_linked_list.delete_front() == 0
				assert circular_linked_list.delete_tail() == 6
				assert str(UpperCamelCase_       ) == "->".join(str(UpperCamelCase_       ) for i in range(1      ,    6       )       )
				assert circular_linked_list.delete_nth(2       ) == 3

				circular_linked_list.insert_nth(2      ,    3       )
				assert str(UpperCamelCase_       ) == "->".join(str(UpperCamelCase_       ) for i in range(1      ,    6       )       )

				assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
	import doctest

	doctest.testmod()

