






import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 							A_    (						__lowercase ,   unittest.TestCase			):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:			Optional[int] =					LongformerTokenizer
 _SCREAMING_SNAKE_CASE							:			int =					True
 _SCREAMING_SNAKE_CASE							:			Dict =					LongformerTokenizerFast
 _SCREAMING_SNAKE_CASE							:			Optional[Any] =					True


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

     """simple docstring"""



     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     _UpperCAmelCase				:      int			  =				[
         '''l''',
         '''o''',
         '''w''',
         '''e''',
         '''r''',
         '''s''',
         '''t''',
         '''i''',
         '''d''',
         '''n''',
         '''\u0120''',
         '''\u0120l''',
         '''\u0120n''',
         '''\u0120lo''',
         '''\u0120low''',
         '''er''',
         '''\u0120lowest''',
         '''\u0120newer''',
         '''\u0120wider''',
         '''<unk>''',
     ]
     _UpperCAmelCase				:      List[str]			  =				dict(zip(_A							,  range(len(_A))))
     _UpperCAmelCase				:      Optional[Any]			  =				['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
     _UpperCAmelCase				:      List[str]			  =				{'''unk_token''': '''<unk>'''}

     _UpperCAmelCase				:      Tuple			  =				os.path.join(self.tmpdirname							,  VOCAB_FILES_NAMES['''vocab_file'''])
     _UpperCAmelCase				:      Optional[int]			  =				os.path.join(self.tmpdirname							,  VOCAB_FILES_NAMES['''merges_file'''])
     with open(self.vocab_file							,  '''w'''							,  encoding='''utf-8''') as fp:
         fp.write(json.dumps(_A) + '''\n''')
     with open(self.merges_file							,  '''w'''							,  encoding='''utf-8''') as fp:
         fp.write('''\n'''.join(_A))


 def  snake_case__				(	self							,  **_A) ->		Dict:

     """simple docstring"""



     kwargs.update(self.special_tokens_map)
     return self.tokenizer_class.from_pretrained(self.tmpdirname							,  **_A)


 def  snake_case__				(	self							,  **_A) ->		Optional[Any]:

     """simple docstring"""



     kwargs.update(self.special_tokens_map)
     return self.rust_tokenizer_class.from_pretrained(self.tmpdirname							,  **_A)


 def  snake_case__				(	self							,  _A) ->		Optional[int]:

     """simple docstring"""



     _UpperCAmelCase				:      Tuple			  =				'''lower newer'''
     _UpperCAmelCase				:      Tuple			  =				'''lower newer'''
     return input_text, output_text


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

     """simple docstring"""



     _UpperCAmelCase				:      Optional[Any]			  =				self.tokenizer_class(self.vocab_file							,  self.merges_file							,  **self.special_tokens_map)
     _UpperCAmelCase				:      int			  =				'''lower newer'''
     _UpperCAmelCase				:      Any			  =				['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
     _UpperCAmelCase				:      Tuple			  =				tokenizer.tokenize(_A)  # , add_prefix_space=True)
     self.assertListEqual(_A							,  _A)

     _UpperCAmelCase				:      Optional[Any]			  =				tokens + [tokenizer.unk_token]
     _UpperCAmelCase				:      List[str]			  =				[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_A)							,  _A)


 def  snake_case__				(	self) ->		Dict:

     """simple docstring"""



     _UpperCAmelCase				:      Union[str, Any]			  =				self.get_tokenizer()

     self.assertListEqual(tokenizer.encode('''Hello world!'''							,  add_special_tokens=_A)							,  [0, 31414, 232, 328, 2])
     self.assertListEqual(
         tokenizer.encode('''Hello world! cécé herlolip 418'''							,  add_special_tokens=_A)							,  [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]							,  )


 @slow
 def  snake_case__				(	self) ->		List[Any]:

     """simple docstring"""



     _UpperCAmelCase				:      str			  =				self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096''')

     _UpperCAmelCase				:      int			  =				tokenizer.encode('''sequence builders'''							,  add_special_tokens=_A)
     _UpperCAmelCase				:      Tuple			  =				tokenizer.encode('''multi-sequence build'''							,  add_special_tokens=_A)

     _UpperCAmelCase				:      List[Any]			  =				tokenizer.encode(
         '''sequence builders'''							,  add_special_tokens=_A							,  add_prefix_space=_A)
     _UpperCAmelCase				:      int			  =				tokenizer.encode(
         '''sequence builders'''							,  '''multi-sequence build'''							,  add_special_tokens=_A							,  add_prefix_space=_A)

     _UpperCAmelCase				:      List[str]			  =				tokenizer.build_inputs_with_special_tokens(_A)
     _UpperCAmelCase				:      List[str]			  =				tokenizer.build_inputs_with_special_tokens(_A							,  _A)

     assert encoded_sentence == encoded_text_from_decode
     assert encoded_pair == encoded_pair_from_decode


 def  snake_case__				(	self) ->		int:

     """simple docstring"""



     _UpperCAmelCase				:      int			  =				self.get_tokenizer()

     _UpperCAmelCase				:      Any			  =				'''Encode this sequence.'''
     _UpperCAmelCase				:      List[Any]			  =				tokenizer.byte_encoder[''' '''.encode('''utf-8''')[0]]

     # Testing encoder arguments
     _UpperCAmelCase				:      Tuple			  =				tokenizer.encode(_A							,  add_special_tokens=_A							,  add_prefix_space=_A)
     _UpperCAmelCase				:      Optional[int]			  =				tokenizer.convert_ids_to_tokens(encoded[0])[0]
     self.assertNotEqual(_A							,  _A)

     _UpperCAmelCase				:      Optional[int]			  =				tokenizer.encode(_A							,  add_special_tokens=_A							,  add_prefix_space=_A)
     _UpperCAmelCase				:      Union[str, Any]			  =				tokenizer.convert_ids_to_tokens(encoded[0])[0]
     self.assertEqual(_A							,  _A)

     tokenizer.add_special_tokens({'''bos_token''': '''<s>'''})
     _UpperCAmelCase				:      List[Any]			  =				tokenizer.encode(_A							,  add_special_tokens=_A)
     _UpperCAmelCase				:      Union[str, Any]			  =				tokenizer.convert_ids_to_tokens(encoded[1])[0]
     self.assertNotEqual(_A							,  _A)

     # Testing spaces after special tokens
     _UpperCAmelCase				:      List[Any]			  =				'''<mask>'''
     tokenizer.add_special_tokens(
         {'''mask_token''': AddedToken(_A							,  lstrip=_A							,  rstrip=_A)})  # mask token has a left space
     _UpperCAmelCase				:      Optional[Any]			  =				tokenizer.convert_tokens_to_ids(_A)

     _UpperCAmelCase				:      Optional[Any]			  =				'''Encode <mask> sequence'''
     _UpperCAmelCase				:      Union[str, Any]			  =				'''Encode <mask>sequence'''

     _UpperCAmelCase				:      List[Any]			  =				tokenizer.encode(_A)
     _UpperCAmelCase				:      Union[str, Any]			  =				encoded.index(_A)
     _UpperCAmelCase				:      str			  =				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
     self.assertEqual(_A							,  _A)

     _UpperCAmelCase				:      Optional[Any]			  =				tokenizer.encode(_A)
     _UpperCAmelCase				:      int			  =				encoded.index(_A)
     _UpperCAmelCase				:      str			  =				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
     self.assertNotEqual(_A							,  _A)


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

     """simple docstring"""



     pass


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

     """simple docstring"""



     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
             _UpperCAmelCase				:      Optional[int]			  =				self.rust_tokenizer_class.from_pretrained(_A							,  **_A)
             _UpperCAmelCase				:      str			  =				self.tokenizer_class.from_pretrained(_A							,  **_A)
             _UpperCAmelCase				:      Tuple			  =				'''A, <mask> AllenNLP sentence.'''
             _UpperCAmelCase				:      List[Any]			  =				tokenizer_r.encode_plus(_A							,  add_special_tokens=_A							,  return_token_type_ids=_A)
             _UpperCAmelCase				:      Optional[int]			  =				tokenizer_p.encode_plus(_A							,  add_special_tokens=_A							,  return_token_type_ids=_A)

             # token_type_ids should put 0 everywhere
             self.assertEqual(sum(tokens_r['''token_type_ids'''])							,  sum(tokens_p['''token_type_ids''']))

             # attention_mask should put 1 everywhere, so sum over length should be 1
             self.assertEqual(
                 sum(tokens_r['''attention_mask''']) / len(tokens_r['''attention_mask'''])							,  sum(tokens_p['''attention_mask''']) / len(tokens_p['''attention_mask'''])							,  )

             _UpperCAmelCase				:      Dict			  =				tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids'''])
             _UpperCAmelCase				:      Union[str, Any]			  =				tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids'''])

             # Rust correctly handles the space before the mask while python doesnt
             self.assertSequenceEqual(tokens_p['''input_ids''']							,  [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2])
             self.assertSequenceEqual(tokens_r['''input_ids''']							,  [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2])

             self.assertSequenceEqual(
                 _A							,  ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>'''])
             self.assertSequenceEqual(
                 _A							,  ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>'''])


 def  snake_case__				(	self) ->		Optional[int]:

     """simple docstring"""



     for trim_offsets, add_prefix_space in itertools.product([True, False]							,  repeat=2):
         _UpperCAmelCase				:      Union[str, Any]			  =				self.rust_tokenizer_class.from_pretrained(
             self.tmpdirname							,  use_fast=_A							,  add_prefix_space=_A							,  trim_offsets=_A)

         _UpperCAmelCase				:      Any			  =				json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__())
         _UpperCAmelCase				:      str			  =				json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__())

         self.assertEqual(pre_tokenizer_state['''add_prefix_space''']							,  _A)

         self.assertEqual(post_processor_state['''add_prefix_space''']							,  _A)
         self.assertEqual(post_processor_state['''trim_offsets''']							,  _A)


 def  snake_case__				(	self) ->		int:

     """simple docstring"""



     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
             _UpperCAmelCase				:      Optional[Any]			  =				'''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
             _UpperCAmelCase				:      Optional[Any]			  =				f'''{text_of_1_token} {text_of_1_token}'''

             _UpperCAmelCase				:      List[str]			  =				self.rust_tokenizer_class.from_pretrained(
                 _A							,  use_fast=_A							,  add_prefix_space=_A							,  trim_offsets=_A)
             _UpperCAmelCase				:      Any			  =				tokenizer_r(_A							,  return_offsets_mapping=_A							,  add_special_tokens=_A)
             self.assertEqual(encoding.offset_mapping[0]							,  (0, len(_A)))
             self.assertEqual(
                 encoding.offset_mapping[1]							,  (len(_A) + 1, len(_A) + 1 + len(_A))							,  )

             _UpperCAmelCase				:      Union[str, Any]			  =				self.rust_tokenizer_class.from_pretrained(
                 _A							,  use_fast=_A							,  add_prefix_space=_A							,  trim_offsets=_A)
             _UpperCAmelCase				:      Any			  =				tokenizer_r(_A							,  return_offsets_mapping=_A							,  add_special_tokens=_A)
             self.assertEqual(encoding.offset_mapping[0]							,  (0, len(_A)))
             self.assertEqual(
                 encoding.offset_mapping[1]							,  (len(_A) + 1, len(_A) + 1 + len(_A))							,  )

             _UpperCAmelCase				:      Tuple			  =				self.rust_tokenizer_class.from_pretrained(
                 _A							,  use_fast=_A							,  add_prefix_space=_A							,  trim_offsets=_A)
             _UpperCAmelCase				:      Dict			  =				tokenizer_r(_A							,  return_offsets_mapping=_A							,  add_special_tokens=_A)
             self.assertEqual(encoding.offset_mapping[0]							,  (0, len(_A)))
             self.assertEqual(
                 encoding.offset_mapping[1]							,  (len(_A), len(_A) + 1 + len(_A))							,  )

             _UpperCAmelCase				:      Tuple			  =				self.rust_tokenizer_class.from_pretrained(
                 _A							,  use_fast=_A							,  add_prefix_space=_A							,  trim_offsets=_A)
             _UpperCAmelCase				:      Union[str, Any]			  =				tokenizer_r(_A							,  return_offsets_mapping=_A							,  add_special_tokens=_A)
             self.assertEqual(encoding.offset_mapping[0]							,  (0, len(_A)))
             self.assertEqual(
                 encoding.offset_mapping[1]							,  (len(_A), len(_A) + 1 + len(_A))							,  )

             _UpperCAmelCase				:      Any			  =				f''' {text}'''

             # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
             #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
             # )
             # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
             # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
             # self.assertEqual(
             #     encoding.offset_mapping[1],
             #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
             # )

             _UpperCAmelCase				:      List[Any]			  =				self.rust_tokenizer_class.from_pretrained(
                 _A							,  use_fast=_A							,  add_prefix_space=_A							,  trim_offsets=_A)
             _UpperCAmelCase				:      List[str]			  =				tokenizer_r(_A							,  return_offsets_mapping=_A							,  add_special_tokens=_A)
             self.assertEqual(encoding.offset_mapping[0]							,  (1, 1 + len(_A)))
             self.assertEqual(
                 encoding.offset_mapping[1]							,  (1 + len(_A) + 1, 1 + len(_A) + 1 + len(_A))							,  )

             _UpperCAmelCase				:      Tuple			  =				self.rust_tokenizer_class.from_pretrained(
                 _A							,  use_fast=_A							,  add_prefix_space=_A							,  trim_offsets=_A)
             _UpperCAmelCase				:      List[str]			  =				tokenizer_r(_A							,  return_offsets_mapping=_A							,  add_special_tokens=_A)
             self.assertEqual(encoding.offset_mapping[0]							,  (0, 1 + len(_A)))
             self.assertEqual(
                 encoding.offset_mapping[1]							,  (1 + len(_A), 1 + len(_A) + 1 + len(_A))							,  )

             _UpperCAmelCase				:      Dict			  =				self.rust_tokenizer_class.from_pretrained(
                 _A							,  use_fast=_A							,  add_prefix_space=_A							,  trim_offsets=_A)
             _UpperCAmelCase				:      str			  =				tokenizer_r(_A							,  return_offsets_mapping=_A							,  add_special_tokens=_A)
             self.assertEqual(encoding.offset_mapping[0]							,  (0, 1 + len(_A)))
             self.assertEqual(
                 encoding.offset_mapping[1]							,  (1 + len(_A), 1 + len(_A) + 1 + len(_A))							,  )












def      _lowerCamelCase	(						__A    :							int )      ->					bool:
    if not isinstance(__A		,		__A ):
        _UpperCAmelCase				:      Tuple			  =				f'''Input value of [number={number}] must be an integer'''
        raise TypeError(__A )
    if number < 0:
        return False
    _UpperCAmelCase				:      List[str]			  =				number * number
    while number > 0:
        if number % 10 != number_square % 10:
            return False
        number //= 10
        number_square //= 10
    return True


if __name__ == "__main__":
  import doctest

  doctest.testmod()




