


'''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


UpperCAmelCase_		:   str							   =		get_tests_dir('fixtures/test_sentencepiece_no_bos.model')





@require_sentencepiece
@require_tokenizers
class     lowercase__  (						_snake_case     ,     unittest.TestCase					):





							'''simple docstring'''


							A_							:      List[Any]      	=  PegasusTokenizer
							A_							:      str      	=  PegasusTokenizerFast
							A_							:      Union[str, Any]      	=  True
							A_							:      Any      	=  True






							def UpperCAmelCase_	(    self  ):
											super().setUp()

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






							@cached_property
							def UpperCAmelCase_	(    self  ):
											return PegasusTokenizer.from_pretrained("""google/pegasus-large"""  )






							def UpperCAmelCase_	(    self    ,					**__snake_case  ):
											return PegasusTokenizer.from_pretrained(self.tmpdirname    ,					**__snake_case  )






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											return ("This is a test", "This is a test")






							def UpperCAmelCase_	(    self  ):
											_SCREAMING_SNAKE_CASE :       Tuple     		=      """</s>"""
											_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      1

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






							def UpperCAmelCase_	(    self  ):
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      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(__snake_case  )    ,					1103  )






							def UpperCAmelCase_	(    self  ):
											self.assertEqual(self.get_tokenizer().vocab_size    ,					1103  )






							def UpperCAmelCase_	(    self  ):
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      self.rust_tokenizer_class.from_pretrained(self.tmpdirname  )
											_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      self.tokenizer_class.from_pretrained(self.tmpdirname  )
											_SCREAMING_SNAKE_CASE :       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>"""
											)
											_SCREAMING_SNAKE_CASE :       int     		=      rust_tokenizer([raw_input_str]    ,					return_tensors=__snake_case    ,					add_special_tokens=__snake_case  ).input_ids[0]
											_SCREAMING_SNAKE_CASE :       List[Any]     		=      py_tokenizer([raw_input_str]    ,					return_tensors=__snake_case    ,					add_special_tokens=__snake_case  ).input_ids[0]
											self.assertListEqual(__snake_case    ,					__snake_case  )






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






							def UpperCAmelCase_	(    self  ):
											_SCREAMING_SNAKE_CASE :       List[str]     		=      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
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      """To ensure a smooth flow of bank resolutions."""
											_SCREAMING_SNAKE_CASE :       List[Any]     		=      [413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
											_SCREAMING_SNAKE_CASE :       str     		=      tokenizer([raw_input_str]    ,					return_tensors=__snake_case  ).input_ids[0]
											self.assertListEqual(__snake_case    ,					__snake_case  )
											assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]  ) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]






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






							@slow
							def UpperCAmelCase_	(    self  ):
											# fmt: off
											_SCREAMING_SNAKE_CASE :       str     		=      {"""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=__snake_case    ,					model_name="""google/bigbird-pegasus-large-arxiv"""    ,					revision="""ba85d0851d708441f91440d509690f1ab6353415"""    ,					)





@require_sentencepiece
@require_tokenizers
class     lowercase__  (						_snake_case     ,     unittest.TestCase					):





							'''simple docstring'''


							A_							:      Optional[int]      	=  PegasusTokenizer
							A_							:      int      	=  PegasusTokenizerFast
							A_							:      int      	=  True
							A_							:      List[str]      	=  True






							def UpperCAmelCase_	(    self  ):
											super().setUp()

											# We have a SentencePiece fixture for testing
											_SCREAMING_SNAKE_CASE :       Dict     		=      PegasusTokenizer(__snake_case    ,					offset=0    ,					mask_token_sent=__snake_case    ,					mask_token="""[MASK]"""  )
											tokenizer.save_pretrained(self.tmpdirname  )






							@cached_property
							def UpperCAmelCase_	(    self  ):
											return PegasusTokenizer.from_pretrained("""google/bigbird-pegasus-large-arxiv"""  )






							def UpperCAmelCase_	(    self    ,					**__snake_case  ):
											return PegasusTokenizer.from_pretrained(self.tmpdirname    ,					**__snake_case  )






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											return ("This is a test", "This is a test")






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






							@require_torch
							def UpperCAmelCase_	(    self  ):
											_SCREAMING_SNAKE_CASE :       Tuple     		=      ["""This is going to be way too long.""" * 1000, """short example"""]
											_SCREAMING_SNAKE_CASE :       Tuple     		=      ["""not super long but more than 5 tokens""", """tiny"""]
											_SCREAMING_SNAKE_CASE :       int     		=      self._large_tokenizer(__snake_case    ,					padding=__snake_case    ,					truncation=__snake_case    ,					return_tensors="""pt"""  )
											_SCREAMING_SNAKE_CASE :       int     		=      self._large_tokenizer(
											    text_target=__snake_case    ,					max_length=5    ,					padding=__snake_case    ,					truncation=__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(__snake_case  ) == 2  # input_ids, attention_mask.






							def UpperCAmelCase_	(    self  ):
											_SCREAMING_SNAKE_CASE :       List[str]     		=      (
											    """This is an example string that is used to test the original TF implementation against the HF"""
											    """ implementation"""
											)

											_SCREAMING_SNAKE_CASE :       List[Any]     		=      self._large_tokenizer(__snake_case  ).input_ids

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








'''simple docstring'''


def 			snake_case_   (  SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       str     		=      0
				for ch in input_str:
								_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      ord(SCREAMING_SNAKE_CASE__     )
								_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      pow(2							,      SCREAMING_SNAKE_CASE__     )

								# If we already turned on bit for current character's unicode
								if bitmap >> ch_unicode & 1 == 1:
												return False
								bitmap |= ch_bit_index_on
				return True


if __name__ == "__main__":
				import doctest

				doctest.testmod()




