






'''simple docstring'''

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


__a:      Any  				=				get_tests_dir("fixtures/test_sentencepiece_no_bos.model")






@require_sentencepiece
@require_tokenizers
class 							__magic_name__     (	SCREAMING_SNAKE_CASE_,						unittest.TestCase				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      Dict        =  PegasusTokenizer
	SCREAMING_SNAKE_CASE_					:      Union[str, Any]        =  PegasusTokenizerFast
	SCREAMING_SNAKE_CASE_					:      Optional[Any]        =  True
	SCREAMING_SNAKE_CASE_					:      Dict        =  True
	def        lowerCamelCase__		(							self       )						->  int:
							super().setUp()

							# We have a SentencePiece fixture for testing
							lowercase_      :   List[str]        =			PegasusTokenizer(UpperCamelCase__       )
							tokenizer.save_pretrained(self.tmpdirname       )
	@cached_property
	def        lowerCamelCase__		(							self       )						->  str:
							return PegasusTokenizer.from_pretrained('google/pegasus-large'       )
	def        lowerCamelCase__		(							self  ,      **_lowercase       )						->  Dict:
							return PegasusTokenizer.from_pretrained(self.tmpdirname  ,      **UpperCamelCase__       )
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Any:
							return ("This is a test", "This is a test")
	def        lowerCamelCase__		(							self       )						->  Optional[int]:
							lowercase_      :   List[Any]        =			'''</s>'''
							lowercase_      :   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        lowerCamelCase__		(							self       )						->  List[Any]:
							lowercase_      :   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        lowerCamelCase__		(							self       )						->  str:
							self.assertEqual(self.get_tokenizer().vocab_size  ,      1103       )
	def        lowerCamelCase__		(							self       )						->  List[Any]:
							lowercase_      :   Tuple        =			self.rust_tokenizer_class.from_pretrained(self.tmpdirname       )
							lowercase_      :   List[str]        =			self.tokenizer_class.from_pretrained(self.tmpdirname       )
							lowercase_      :   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>'''
							)
							lowercase_      :   str        =			rust_tokenizer([raw_input_str]  ,      return_tensors=UpperCamelCase__  ,      add_special_tokens=UpperCamelCase__       ).input_ids[0]
							lowercase_      :   List[str]        =			py_tokenizer([raw_input_str]  ,      return_tensors=UpperCamelCase__  ,      add_special_tokens=UpperCamelCase__       ).input_ids[0]
							self.assertListEqual(UpperCamelCase__  ,      UpperCamelCase__       )
	def        lowerCamelCase__		(							self       )						->  Any:
							lowercase_      :   List[str]        =			self._large_tokenizer
							# <mask_1> masks whole sentence while <mask_2> masks single word
							lowercase_      :   List[str]        =			'''<mask_1> To ensure a <mask_2> flow of bank resolutions.'''
							lowercase_      :   List[Any]        =			[2, 413, 615, 114, 3, 1971, 113, 1679, 1_0710, 107, 1]
							lowercase_      :   Union[str, Any]        =			tokenizer([raw_input_str]  ,      return_tensors=UpperCamelCase__       ).input_ids[0]
							self.assertListEqual(UpperCamelCase__  ,      UpperCamelCase__       )
	def        lowerCamelCase__		(							self       )						->  str:
							lowercase_      :   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
							lowercase_      :   List[Any]        =			'''To ensure a smooth flow of bank resolutions.'''
							lowercase_      :   Union[str, Any]        =			[413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
							lowercase_      :   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        lowerCamelCase__		(							self       )						->  Tuple:
							lowercase_      :   Union[str, Any]        =			['''This is going to be way too long.''' * 150, '''short example''']
							lowercase_      :   Tuple        =			['''not super long but more than 5 tokens''', '''tiny''']
							lowercase_      :   Tuple        =			self._large_tokenizer(UpperCamelCase__  ,      padding=UpperCamelCase__  ,      truncation=UpperCamelCase__  ,      return_tensors='pt'       )
							lowercase_      :   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        lowerCamelCase__		(							self       )						->  Optional[Any]:
							# fmt: off
							lowercase_      :   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 							__magic_name__     (	SCREAMING_SNAKE_CASE_,						unittest.TestCase				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      Tuple        =  PegasusTokenizer
	SCREAMING_SNAKE_CASE_					:      Tuple        =  PegasusTokenizerFast
	SCREAMING_SNAKE_CASE_					:      List[Any]        =  True
	SCREAMING_SNAKE_CASE_					:      Optional[Any]        =  True
	def        lowerCamelCase__		(							self       )						->  str:
							super().setUp()

							# We have a SentencePiece fixture for testing
							lowercase_      :   Optional[int]        =			PegasusTokenizer(UpperCamelCase__  ,      offset=0  ,      mask_token_sent=UpperCamelCase__  ,      mask_token='[MASK]'       )
							tokenizer.save_pretrained(self.tmpdirname       )
	@cached_property
	def        lowerCamelCase__		(							self       )						->  List[Any]:
							return PegasusTokenizer.from_pretrained('google/bigbird-pegasus-large-arxiv'       )
	def        lowerCamelCase__		(							self  ,      **_lowercase       )						->  List[str]:
							return PegasusTokenizer.from_pretrained(self.tmpdirname  ,      **UpperCamelCase__       )
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Tuple:
							return ("This is a test", "This is a test")
	def        lowerCamelCase__		(							self       )						->  Tuple:
							lowercase_      :   Any        =			self.rust_tokenizer_class.from_pretrained(self.tmpdirname       )
							lowercase_      :   Tuple        =			self.tokenizer_class.from_pretrained(self.tmpdirname       )
							lowercase_      :   Tuple        =			(
							    '''Let\'s see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>'''
							    ''' <pad> <pad> <pad>'''
							)
							lowercase_      :   List[str]        =			rust_tokenizer([raw_input_str]  ,      return_tensors=UpperCamelCase__  ,      add_special_tokens=UpperCamelCase__       ).input_ids[0]
							lowercase_      :   str        =			py_tokenizer([raw_input_str]  ,      return_tensors=UpperCamelCase__  ,      add_special_tokens=UpperCamelCase__       ).input_ids[0]
							self.assertListEqual(UpperCamelCase__  ,      UpperCamelCase__       )
	@require_torch
	def        lowerCamelCase__		(							self       )						->  Any:
							lowercase_      :   Dict        =			['''This is going to be way too long.''' * 1000, '''short example''']
							lowercase_      :   str        =			['''not super long but more than 5 tokens''', '''tiny''']
							lowercase_      :   List[Any]        =			self._large_tokenizer(UpperCamelCase__  ,      padding=UpperCamelCase__  ,      truncation=UpperCamelCase__  ,      return_tensors='pt'       )
							lowercase_      :   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        lowerCamelCase__		(							self       )						->  Union[str, Any]:
							lowercase_      :   Tuple        =			(
							    '''This is an example string that is used to test the original TF implementation against the HF'''
							    ''' implementation'''
							)

							lowercase_      :   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]  ,      )








'''simple docstring'''

def 	_UpperCAmelCase    (  a		:	list							)			->			list:





						"""simple docstring"""
						for i in range(len(a							) - 1						,			0						,			-1							):
												lowercase_      :   Any        =			False

												for j in range(a						,			0						,			-1							):
																		if unsorted[j] < unsorted[j - 1]:
																								lowercase_  ,      lowercase_      :   Any        =			unsorted[j - 1], unsorted[j]
																								lowercase_      :   int        =			True

												for j in range(a							):
																		if unsorted[j] > unsorted[j + 1]:
																								lowercase_  ,      lowercase_      :   Union[str, Any]        =			unsorted[j + 1], unsorted[j]
																								lowercase_      :   Optional[Any]        =			True

												if not swapped:
																		break
						return unsorted


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						A:      Union[str, Any]  				=				input("Enter numbers separated by a comma:\n").strip()
						A:      Tuple  				=				[int(item) for item in user_input.split(",")]
						print(f"""{cocktail_shaker_sort(unsorted) = }""")
