

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 						__magic_name__			(							lowerCamelCase__		,       unittest.TestCase							):

   '''simple docstring'''




   lowerCamelCase__ :	str    =   PegasusTokenizer
   lowerCamelCase__ :	Any    =   PegasusTokenizerFast
   lowerCamelCase__ :	int    =   True
   lowerCamelCase__ :	Any    =   True



   def  _UpperCAmelCase (				self       )							->    Optional[Any]:






     """simple docstring"""






     super().setUp()

     # We have a SentencePiece fixture for testing
     a__  =PegasusTokenizer(lowercase_       )
     tokenizer.save_pretrained(self.tmpdirname       )



   @cached_property
   def  _UpperCAmelCase (				self       )							->    Optional[int]:






     """simple docstring"""






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



   def  _UpperCAmelCase (				self,    **lowercase_       )							->    PegasusTokenizer:






     """simple docstring"""






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



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






     """simple docstring"""






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



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






     """simple docstring"""






     a__  ='''</s>'''
     a__  =1

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



   def  _UpperCAmelCase (				self       )							->    Tuple:






     """simple docstring"""






     a__  =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(lowercase_       ),    1103       )



   def  _UpperCAmelCase (				self       )							->    int:






     """simple docstring"""






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



   def  _UpperCAmelCase (				self       )							->    str:






     """simple docstring"""






     a__  =self.rust_tokenizer_class.from_pretrained(self.tmpdirname       )
     a__  =self.tokenizer_class.from_pretrained(self.tmpdirname       )
     a__  =(
         '''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>'''
     )
     a__  =rust_tokenizer([raw_input_str],    return_tensors=lowercase_,    add_special_tokens=lowercase_       ).input_ids[0]
     a__  =py_tokenizer([raw_input_str],    return_tensors=lowercase_,    add_special_tokens=lowercase_       ).input_ids[0]
     self.assertListEqual(lowercase_,    lowercase_       )



   def  _UpperCAmelCase (				self       )							->    Optional[Any]:






     """simple docstring"""






     a__  =self._large_tokenizer
     # <mask_1> masks whole sentence while <mask_2> masks single word
     a__  ='''<mask_1> To ensure a <mask_2> flow of bank resolutions.'''
     a__  =[2, 413, 615, 114, 3, 1971, 113, 1679, 10710, 107, 1]
     a__  =tokenizer([raw_input_str],    return_tensors=lowercase_       ).input_ids[0]
     self.assertListEqual(lowercase_,    lowercase_       )



   def  _UpperCAmelCase (				self       )							->    Dict:






     """simple docstring"""






     a__  =self._large_tokenizer
     # The tracebacks for the following asserts are **better** without messages or self.assertEqual
     assert tokenizer.vocab_size == 96103
     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
     a__  ='''To ensure a smooth flow of bank resolutions.'''
     a__  =[413, 615, 114, 2291, 1971, 113, 1679, 10710, 107, 1]
     a__  =tokenizer([raw_input_str],    return_tensors=lowercase_       ).input_ids[0]
     self.assertListEqual(lowercase_,    lowercase_       )
     assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]       ) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]



   @require_torch
   def  _UpperCAmelCase (				self       )							->    List[Any]:






     """simple docstring"""






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



   @slow
   def  _UpperCAmelCase (				self       )							->    int:






     """simple docstring"""






     a__  ={'''input_ids''': [[38979, 143, 18485, 606, 130, 26669, 87686, 121, 54189, 1129, 111, 26669, 87686, 121, 9114, 14787, 121, 13249, 158, 592, 956, 121, 14621, 31576, 143, 62613, 108, 9688, 930, 43430, 11562, 62613, 304, 108, 11443, 897, 108, 9314, 17415, 63399, 108, 11443, 7614, 18316, 118, 4284, 7148, 12430, 143, 1400, 25703, 158, 111, 4284, 7148, 11772, 143, 21297, 1064, 158, 122, 204, 3506, 1754, 1133, 14787, 1581, 115, 33224, 4482, 111, 1355, 110, 29173, 317, 50833, 108, 20147, 94665, 111, 77198, 107, 1], [110, 62613, 117, 638, 112, 1133, 121, 20098, 1355, 79050, 13872, 135, 1596, 53541, 1352, 141, 13039, 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, 18289, 17780, 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=lowercase_,    model_name='''google/bigbird-pegasus-large-arxiv''',    revision='''ba85d0851d708441f91440d509690f1ab6353415''',    )







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

   '''simple docstring'''




   lowerCamelCase__ :	Dict    =   PegasusTokenizer
   lowerCamelCase__ :	Tuple    =   PegasusTokenizerFast
   lowerCamelCase__ :	List[Any]    =   True
   lowerCamelCase__ :	List[str]    =   True



   def  _UpperCAmelCase (				self       )							->    Any:






     """simple docstring"""






     super().setUp()

     # We have a SentencePiece fixture for testing
     a__  =PegasusTokenizer(lowercase_,    offset=0,    mask_token_sent=lowercase_,    mask_token='''[MASK]'''       )
     tokenizer.save_pretrained(self.tmpdirname       )



   @cached_property
   def  _UpperCAmelCase (				self       )							->    Optional[int]:






     """simple docstring"""






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



   def  _UpperCAmelCase (				self,    **lowercase_       )							->    PegasusTokenizer:






     """simple docstring"""






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



   def  _UpperCAmelCase (				self,    lowercase_       )							->    Tuple:






     """simple docstring"""






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



   def  _UpperCAmelCase (				self       )							->    List[str]:






     """simple docstring"""






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



   @require_torch
   def  _UpperCAmelCase (				self       )							->    Optional[Any]:






     """simple docstring"""






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



   def  _UpperCAmelCase (				self       )							->    str:






     """simple docstring"""






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

     a__  =self._large_tokenizer(lowercase_       ).input_ids

     self.assertListEqual(
         lowercase_,    [182, 117, 142, 587, 4211, 120, 117, 263, 112, 804, 109, 856, 25016, 3137, 464, 109, 26955, 3137, 1],    )



def 			UpperCAmelCase__				(			_A      : dict							):





  '''simple docstring'''







  a__  =set()
  # To detect a back edge, keep track of vertices currently in the recursion stack
  a__  =set()
  return any(
      node not in visited and depth_first_search(_A	,      _A	,      _A	,      _A							)
      for node in graph							)




def 			UpperCAmelCase__				(			_A      : dict	,      _A      : int	,      _A      : set	,      _A      : set							):





  '''simple docstring'''







  visited.add(_A							)
  rec_stk.add(_A							)

  for node in graph[vertex]:
    if node not in visited:
      if depth_first_search(_A	,      _A	,      _A	,      _A							):
        return True
    elif node in rec_stk:
      return True

    # The node needs to be removed from recursion stack before function ends
  rec_stk.remove(_A							)
  return False


if __name__ == "__main__":
       from doctest import testmod

       testmod()
