





"""simple docstring"""





def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )   ->int:





  """simple docstring"""


  return number | (1 << position)
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )   ->int:





  """simple docstring"""


  return number & ~(1 << position)
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )   ->int:





  """simple docstring"""


  return number ^ (1 << position)
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )   ->bool:





  """simple docstring"""


  return ((number >> position) & 1) == 1
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )   ->int:





  """simple docstring"""


  return int((number & (1 << position)) != 0     )


if __name__ == "__main__":
  import doctest

  doctest.testmod()




import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin







class 						_snake_case    ( _snake_case		,       unittest.TestCase				):
 SCREAMING_SNAKE_CASE__ =			CanineTokenizer
 SCREAMING_SNAKE_CASE__ =			False




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       super().setUp()
       a		:List[str]									=			CanineTokenizer()
       tokenizer.save_pretrained(self.tmpdirname       )




 @cached_property
 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       return CanineTokenizer.from_pretrained('''google/canine-s'''       )




 def 			SCREAMING_SNAKE_CASE__							(						self   ,    **_lowerCamelCase       ):
       a		:Dict									=			self.tokenizer_class.from_pretrained(self.tmpdirname   ,    **_lowerCamelCase       )
       a		:List[Any]									=			1024
       return tokenizer




 @require_torch
 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a		:Any									=			self.canine_tokenizer
       a		:Tuple									=			['''Life is like a box of chocolates.''', '''You never know what you\'re gonna get.''']
       # fmt: off
       a		:Any									=			[5_7344, 76, 105, 102, 101, 32, 105, 115, 32, 108, 105, 107, 101, 32, 97, 32, 98, 111, 120, 32, 111, 102, 32, 99, 104, 111, 99, 111, 108, 97, 116, 101, 115, 46, 5_7345, 0, 0, 0, 0]
       # fmt: on
       a		:Dict									=			tokenizer(_lowerCamelCase   ,    padding=_lowerCamelCase   ,    return_tensors='''pt'''       )
       self.assertIsInstance(_lowerCamelCase   ,    _lowerCamelCase       )

       a		:str									=			list(batch.input_ids.numpy()[0]       )

       self.assertListEqual(_lowerCamelCase   ,    _lowerCamelCase       )

       self.assertEqual((2, 39)   ,    batch.input_ids.shape       )
       self.assertEqual((2, 39)   ,    batch.attention_mask.shape       )




 @require_torch
 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a		:List[Any]									=			self.canine_tokenizer
       a		:Optional[int]									=			['''Once there was a man.''', '''He wrote a test in HuggingFace Tranformers.''']
       a		:Dict									=			tokenizer(_lowerCamelCase   ,    padding=_lowerCamelCase   ,    return_tensors='''pt'''       )
       # check if input_ids, attention_mask and token_type_ids are returned
       self.assertIn('''input_ids'''   ,    _lowerCamelCase       )
       self.assertIn('''attention_mask'''   ,    _lowerCamelCase       )
       self.assertIn('''token_type_ids'''   ,    _lowerCamelCase       )




 @require_torch
 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a		:Any									=			self.canine_tokenizer
       a		:str									=			[
           '''What\'s the weater?''',
           '''It\'s about 25 degrees.''',
       ]
       a		:List[str]									=			tokenizer(
           text_target=_lowerCamelCase   ,    max_length=32   ,    padding='''max_length'''   ,    truncation=_lowerCamelCase   ,    return_tensors='''pt'''       )
       self.assertEqual(32   ,    targets['''input_ids'''].shape[1]       )




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       # safety check on max_len default value so we are sure the test works
       a		:Tuple									=			self.get_tokenizers()
       for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
                   self.assertNotEqual(tokenizer.model_max_length   ,    42       )

        # Now let's start the test
       a		:Tuple									=			self.get_tokenizers()
       for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
                   # Isolate this from the other tests because we save additional tokens/etc
                   a		:List[str]									=			tempfile.mkdtemp()

                   a		:Any									=			''' He is very happy, UNwant\u00E9d,running'''
                   a		:Dict									=			tokenizer.encode(_lowerCamelCase   ,    add_special_tokens=_lowerCamelCase       )
                   tokenizer.save_pretrained(_lowerCamelCase       )

                   a		:Optional[Any]									=			tokenizer.__class__.from_pretrained(_lowerCamelCase       )
                   a		:str									=			after_tokenizer.encode(_lowerCamelCase   ,    add_special_tokens=_lowerCamelCase       )
                   self.assertListEqual(_lowerCamelCase   ,    _lowerCamelCase       )

                   shutil.rmtree(_lowerCamelCase       )

       a		:str									=			self.get_tokenizers(model_max_length=42       )
       for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
                   # Isolate this from the other tests because we save additional tokens/etc
                   a		:Any									=			tempfile.mkdtemp()

                   a		:Optional[Any]									=			''' He is very happy, UNwant\u00E9d,running'''

                   a		:Optional[int]									=			tokenizer.additional_special_tokens

                   # We can add a new special token for Canine as follows:
                   a		:str									=			chr(0Xe_0_0_7       )
                   additional_special_tokens.append(_lowerCamelCase       )
                   tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}       )
                   a		:Tuple									=			tokenizer.encode(_lowerCamelCase   ,    add_special_tokens=_lowerCamelCase       )
                   tokenizer.save_pretrained(_lowerCamelCase       )

                   a		:int									=			tokenizer.__class__.from_pretrained(_lowerCamelCase       )
                   a		:Dict									=			after_tokenizer.encode(_lowerCamelCase   ,    add_special_tokens=_lowerCamelCase       )
                   self.assertListEqual(_lowerCamelCase   ,    _lowerCamelCase       )
                   self.assertIn(_lowerCamelCase   ,    after_tokenizer.additional_special_tokens       )
                   self.assertEqual(after_tokenizer.model_max_length   ,    42       )

                   a		:str									=			tokenizer.__class__.from_pretrained(_lowerCamelCase   ,    model_max_length=43       )
                   self.assertEqual(tokenizer.model_max_length   ,    43       )

                   shutil.rmtree(_lowerCamelCase       )




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a		:Tuple									=			self.get_tokenizers(do_lower_case=_lowerCamelCase       )
       for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
                   a				,							a		:Tuple									=			self.get_clean_sequence(_lowerCamelCase       )

                   # a special token for Canine can be defined as follows:
                   a		:Tuple									=			0Xe_0_0_5
                   a		:Optional[int]									=			chr(_lowerCamelCase       )

                   tokenizer.add_special_tokens({'''cls_token''': special_token}       )
                   a		:Optional[int]									=			tokenizer.encode(_lowerCamelCase   ,    add_special_tokens=_lowerCamelCase       )
                   self.assertEqual(len(_lowerCamelCase       )   ,    1       )

                   a		:List[Any]									=			tokenizer.decode(ids + encoded_special_token   ,    clean_up_tokenization_spaces=_lowerCamelCase       )
                   a		:List[str]									=			tokenizer.encode(_lowerCamelCase   ,    add_special_tokens=_lowerCamelCase       )

                   a		:Tuple									=			tokenizer.encode(_lowerCamelCase   ,    add_special_tokens=_lowerCamelCase       )
                   a		:Optional[Any]									=			tokenizer.encode(_lowerCamelCase   ,    add_special_tokens=_lowerCamelCase       )
                   self.assertEqual(_lowerCamelCase   ,    input_encoded + special_token_id       )

                   a		:Any									=			tokenizer.decode(_lowerCamelCase   ,    skip_special_tokens=_lowerCamelCase       )
                   self.assertTrue(special_token not in decoded       )




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a		:int									=			self.get_tokenizers(do_lower_case=_lowerCamelCase       )
       for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
                   a		:int									=			chr(0Xe_0_0_5       )
                   a		:str									=			chr(0Xe_0_0_6       )

                   # `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
                   tokenizer.add_tokens([SPECIAL_TOKEN_1]   ,    special_tokens=_lowerCamelCase       )
                   # `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
                   # which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
                   tokenizer.add_special_tokens({'''additional_special_tokens''': [SPECIAL_TOKEN_2]}       )

                   a		:Optional[int]									=			tokenizer.tokenize(_lowerCamelCase       )
                   a		:Optional[Any]									=			tokenizer.tokenize(_lowerCamelCase       )

                   self.assertEqual(len(_lowerCamelCase       )   ,    1       )
                   self.assertEqual(len(_lowerCamelCase       )   ,    1       )
                   self.assertEqual(token_a[0]   ,    _lowerCamelCase       )
                   self.assertEqual(token_a[0]   ,    _lowerCamelCase       )




 @require_tokenizers
 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a		:Optional[Any]									=			self.get_tokenizers(do_lower_case=_lowerCamelCase       )
       for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
                   # a special token for Canine can be defined as follows:
                   a		:Optional[int]									=			0Xe_0_0_6
                   a		:List[str]									=			chr(_lowerCamelCase       )

                   a		:Optional[int]									=			AddedToken(_lowerCamelCase   ,    lstrip=_lowerCamelCase       )
                   tokenizer.add_special_tokens({'''additional_special_tokens''': [new_token]}       )

                   with tempfile.TemporaryDirectory() as tmp_dir_name:
                         tokenizer.save_pretrained(_lowerCamelCase       )
                         tokenizer.from_pretrained(_lowerCamelCase       )




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a		:int									=			[]
       if self.test_slow_tokenizer:
             tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())       )

       if self.test_rust_tokenizer:
             tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())       )

       for tokenizer_class, tokenizer_utils in tokenizer_list:
             with tempfile.TemporaryDirectory() as tmp_dir:
                   tokenizer_utils.save_pretrained(_lowerCamelCase       )

                   with open(os.path.join(_lowerCamelCase   ,    '''special_tokens_map.json'''       )   ,    encoding='''utf-8'''       ) as json_file:
                         a		:Optional[Any]									=			json.load(_lowerCamelCase       )

                   with open(os.path.join(_lowerCamelCase   ,    '''tokenizer_config.json'''       )   ,    encoding='''utf-8'''       ) as json_file:
                         a		:Tuple									=			json.load(_lowerCamelCase       )

                   # a special token for Canine can be defined as follows:
                   a		:int									=			0Xe_0_0_6
                   a		:Optional[Any]									=			chr(_lowerCamelCase       )

                   a		:Union[str, Any]									=			[new_token_a]
                   a		:Optional[int]									=			[new_token_a]

                   with open(os.path.join(_lowerCamelCase   ,    '''special_tokens_map.json'''       )   ,    '''w'''   ,    encoding='''utf-8'''       ) as outfile:
                         json.dump(_lowerCamelCase   ,    _lowerCamelCase       )
                   with open(os.path.join(_lowerCamelCase   ,    '''tokenizer_config.json'''       )   ,    '''w'''   ,    encoding='''utf-8'''       ) as outfile:
                         json.dump(_lowerCamelCase   ,    _lowerCamelCase       )

                   # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
                   # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
                   # "special_tokens_map.json" files
                   a		:str									=			tokenizer_class.from_pretrained(_lowerCamelCase   ,    extra_ids=0       )
                   self.assertIn(_lowerCamelCase   ,    tokenizer_without_change_in_init.additional_special_tokens       )
                   # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
                   self.assertEqual(
                       [new_token_a]   ,    tokenizer_without_change_in_init.convert_ids_to_tokens(
                           tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]       )       )   ,    )

                   a		:Optional[int]									=			0Xe_0_0_7
                   a		:Any									=			chr(_lowerCamelCase       )
                   # Now we test that we can change the value of additional_special_tokens in the from_pretrained
                   a		:Tuple									=			[AddedToken(_lowerCamelCase   ,    lstrip=_lowerCamelCase       )]
                   a		:Optional[Any]									=			tokenizer_class.from_pretrained(
                       _lowerCamelCase   ,    additional_special_tokens=_lowerCamelCase   ,    extra_ids=0       )

                   self.assertIn(_lowerCamelCase   ,    tokenizer.additional_special_tokens       )
                   # self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
                   self.assertEqual(
                       [new_token_a]   ,    tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]       )       )       )




 @require_tokenizers
 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a		:List[Any]									=			self.get_tokenizers(do_lower_case=_lowerCamelCase       )
       for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
                   a		:List[str]									=			'''hello world'''
                   if self.space_between_special_tokens:
                         a		:Optional[Any]									=			'''[CLS] hello world [SEP]'''
                   else:
                         a		:Tuple									=			input
                   a		:Any									=			tokenizer.encode(_lowerCamelCase   ,    add_special_tokens=_lowerCamelCase       )
                   a		:List[Any]									=			tokenizer.decode(_lowerCamelCase   ,    spaces_between_special_tokens=self.space_between_special_tokens       )
                   self.assertIn(_lowerCamelCase   ,    [output, output.lower()]       )




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a		:int									=			self.get_tokenizers()
       for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
                   a		:Any									=			[
                       '''bos_token''',
                       '''eos_token''',
                       '''unk_token''',
                       '''sep_token''',
                       '''pad_token''',
                       '''cls_token''',
                       '''mask_token''',
                   ]

       a		:str									=			'''a'''
       a		:List[Any]									=			ord(_lowerCamelCase       )

       for attr in attributes_list:
             setattr(_lowerCamelCase   ,    attr + '''_id'''   ,    _lowerCamelCase       )
             self.assertEqual(getattr(_lowerCamelCase   ,    _lowerCamelCase       )   ,    _lowerCamelCase       )
             self.assertEqual(getattr(_lowerCamelCase   ,    attr + '''_id'''       )   ,    _lowerCamelCase       )

             setattr(_lowerCamelCase   ,    attr + '''_id'''   ,    _lowerCamelCase       )
             self.assertEqual(getattr(_lowerCamelCase   ,    _lowerCamelCase       )   ,    _lowerCamelCase       )
             self.assertEqual(getattr(_lowerCamelCase   ,    attr + '''_id'''       )   ,    _lowerCamelCase       )

       setattr(_lowerCamelCase   ,    '''additional_special_tokens_ids'''   ,    []       )
       self.assertListEqual(getattr(_lowerCamelCase   ,    '''additional_special_tokens'''       )   ,    []       )
       self.assertListEqual(getattr(_lowerCamelCase   ,    '''additional_special_tokens_ids'''       )   ,    []       )

       a		:List[Any]									=			0Xe_0_0_6
       a		:str									=			chr(_lowerCamelCase       )
       setattr(_lowerCamelCase   ,    '''additional_special_tokens_ids'''   ,    [additional_special_token_id]       )
       self.assertListEqual(getattr(_lowerCamelCase   ,    '''additional_special_tokens'''       )   ,    [additional_special_token]       )
       self.assertListEqual(getattr(_lowerCamelCase   ,    '''additional_special_tokens_ids'''       )   ,    [additional_special_token_id]       )




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       pass




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       pass




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       pass




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       pass




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       pass




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       pass




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       pass




 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       pass





