"""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


__SCREAMING_SNAKE_CASE								=get_tests_dir("fixtures/test_sentencepiece_no_bos.model")







@require_sentencepiece
@require_tokenizers
class  UpperCamelCase	(    lowercase_		,   unittest.TestCase						):
   lowercase							=						PegasusTokenizer
   lowercase							=						PegasusTokenizerFast
   lowercase							=						True
   lowercase							=						True
   def     _UpperCAmelCase     (    self    )			->   Any:


        '''simple docstring'''


        super().setUp()

        # We have a SentencePiece fixture for testing
        lowercase_			:       Union[str, Any]									=			PegasusTokenizer(__UpperCamelCase    )
        tokenizer.save_pretrained(self.tmpdirname    )
   @cached_property
   def     _UpperCAmelCase     (    self    )			->   Optional[Any]:


        '''simple docstring'''


        return PegasusTokenizer.from_pretrained('google/pegasus-large'    )
   def     _UpperCAmelCase     (    self  ,**__UpperCamelCase    )			->   PegasusTokenizer:


        '''simple docstring'''


        return PegasusTokenizer.from_pretrained(self.tmpdirname  ,**__UpperCamelCase    )
   def     _UpperCAmelCase     (    self  ,__UpperCamelCase    )			->   Optional[Any]:


        '''simple docstring'''


        return ("This is a test", "This is a test")
   def     _UpperCAmelCase     (    self    )			->   Any:


        '''simple docstring'''


        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     _UpperCAmelCase     (    self    )			->   str:


        '''simple docstring'''


        lowercase_			:       Optional[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(__UpperCamelCase    )  ,1103    )
   def     _UpperCAmelCase     (    self    )			->   List[Any]:


        '''simple docstring'''


        self.assertEqual(self.get_tokenizer().vocab_size  ,1103    )
   def     _UpperCAmelCase     (    self    )			->   Tuple:


        '''simple docstring'''


        lowercase_			:       List[str]									=			self.rust_tokenizer_class.from_pretrained(self.tmpdirname    )
        lowercase_			:       int									=			self.tokenizer_class.from_pretrained(self.tmpdirname    )
        lowercase_			:       Dict									=			(
            '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_			:       Optional[int]									=			py_tokenizer([raw_input_str]  ,return_tensors=__UpperCamelCase  ,add_special_tokens=__UpperCamelCase    ).input_ids[0]
        self.assertListEqual(__UpperCamelCase  ,__UpperCamelCase    )
   def     _UpperCAmelCase     (    self    )			->   int:


        '''simple docstring'''


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


        '''simple docstring'''


        lowercase_			:       Dict									=			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[str]									=			'To ensure a smooth flow of bank resolutions.'
        lowercase_			:       List[str]									=			[413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
        lowercase_			:       Optional[Any]									=			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     _UpperCAmelCase     (    self    )			->   List[str]:


        '''simple docstring'''


        lowercase_			:       Any									=			['This is going to be way too long.' * 150, 'short example']
        lowercase_			:       Tuple									=			['not super long but more than 5 tokens', 'tiny']
        lowercase_			:       int									=			self._large_tokenizer(__UpperCamelCase  ,padding=__UpperCamelCase  ,truncation=__UpperCamelCase  ,return_tensors='pt'    )
        lowercase_			:       Union[str, 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     _UpperCAmelCase     (    self    )			->   List[Any]:


        '''simple docstring'''


        lowercase_			:       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  UpperCamelCase	(    lowercase_		,   unittest.TestCase						):
   lowercase							=						PegasusTokenizer
   lowercase							=						PegasusTokenizerFast
   lowercase							=						True
   lowercase							=						True
   def     _UpperCAmelCase     (    self    )			->   Any:


        '''simple docstring'''


        super().setUp()

        # We have a SentencePiece fixture for testing
        lowercase_			:       Optional[Any]									=			PegasusTokenizer(__UpperCamelCase  ,offset=0  ,mask_token_sent=__UpperCamelCase  ,mask_token='[MASK]'    )
        tokenizer.save_pretrained(self.tmpdirname    )
   @cached_property
   def     _UpperCAmelCase     (    self    )			->   Optional[Any]:


        '''simple docstring'''


        return PegasusTokenizer.from_pretrained('google/bigbird-pegasus-large-arxiv'    )
   def     _UpperCAmelCase     (    self  ,**__UpperCamelCase    )			->   PegasusTokenizer:


        '''simple docstring'''


        return PegasusTokenizer.from_pretrained(self.tmpdirname  ,**__UpperCamelCase    )
   def     _UpperCAmelCase     (    self  ,__UpperCamelCase    )			->   Union[str, Any]:


        '''simple docstring'''


        return ("This is a test", "This is a test")
   def     _UpperCAmelCase     (    self    )			->   str:


        '''simple docstring'''


        lowercase_			:       Any									=			self.rust_tokenizer_class.from_pretrained(self.tmpdirname    )
        lowercase_			:       Optional[int]									=			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[Any]									=			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    )
   @require_torch
   def     _UpperCAmelCase     (    self    )			->   Dict:


        '''simple docstring'''


        lowercase_			:       str									=			['This is going to be way too long.' * 1000, 'short example']
        lowercase_			:       int									=			['not super long but more than 5 tokens', 'tiny']
        lowercase_			:       List[str]									=			self._large_tokenizer(__UpperCamelCase  ,padding=__UpperCamelCase  ,truncation=__UpperCamelCase  ,return_tensors='pt'    )
        lowercase_			:       List[str]									=			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     _UpperCAmelCase     (    self    )			->   str:


        '''simple docstring'''


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

        lowercase_			:       Tuple									=			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"""







from diffusers.utils.testing_utils import require_onnxruntime







@require_onnxruntime
class  UpperCamelCase	:
   pass

