


import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
lowerCamelCase					:		List[str]            =						'src/diffusers'
lowerCamelCase					:		List[str]            =						'.'


# This is to make sure the diffusers module imported is the one in the repo.
lowerCamelCase					:		Union[str, Any]            =						importlib.util.spec_from_file_location(
    'diffusers',
    os.path.join(DIFFUSERS_PATH, '__init__.py'),
    submodule_search_locations=[DIFFUSERS_PATH],
)
lowerCamelCase					:		int            =						spec.loader.load_module()





def 	lowercase__(		A     ,			A      ):
       return line.startswith(lowerCAmelCase_      ) or len(lowerCAmelCase_      ) <= 1 or re.search(R'^\s*\)(\s*->.*:|:)\s*$'     ,			lowerCAmelCase_      ) is not None





def 	lowercase__(		A      ):
       snake_case__ :       str	   =							object_name.split('.'      )
       snake_case__ :       List[str]	   =							0

       # First let's find the module where our object lives.
       snake_case__ :       Dict	   =							parts[i]
       while i < len(lowerCAmelCase_      ) and not os.path.isfile(os.path.join(lowerCAmelCase_     ,			f'''{module}.py'''      )      ):
              i += 1
              if i < len(lowerCAmelCase_      ):
                     snake_case__ :       List[str]	   =							os.path.join(lowerCAmelCase_     ,			parts[i]      )
       if i >= len(lowerCAmelCase_      ):
              raise ValueError(f'''`object_name` should begin with the name of a module of diffusers but got {object_name}.'''      )

       with open(os.path.join(lowerCAmelCase_     ,			f'''{module}.py'''      )     ,			'r'     ,			encoding='utf-8'     ,			newline='\n'      ) as f:
              snake_case__ :       Optional[Any]	   =							f.readlines()

       # Now let's find the class / func in the code!
       snake_case__ :       List[str]	   =							''
       snake_case__ :       str	   =							0
       for name in parts[i + 1 :]:
              while (
                  line_index < len(lowerCAmelCase_      ) and re.search(Rf'''^{indent}(class|def)\s+{name}(\(|\:)'''     ,			lines[line_index]      ) is None
              ):
                     line_index += 1
              indent += "    "
              line_index += 1

       if line_index >= len(lowerCAmelCase_      ):
              raise ValueError(f''' {object_name} does not match any function or class in {module}.'''      )

       # We found the beginning of the class / func, now let's find the end (when the indent diminishes).
       snake_case__ :       List[str]	   =							line_index
       while line_index < len(lowerCAmelCase_      ) and _should_continue(lines[line_index]     ,			lowerCAmelCase_      ):
              line_index += 1
       # Clean up empty lines at the end (if any).
       while len(lines[line_index - 1]      ) <= 1:
              line_index -= 1

       snake_case__ :       Any	   =							lines[start_index:line_index]
       return "".join(lowerCAmelCase_      )


lowerCamelCase					:		List[str]            =						re.compile(R'^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)')
lowerCamelCase					:		Optional[int]            =						re.compile(R'^\s*(\S+)->(\S+)(\s+.*|$)')
lowerCamelCase					:		Union[str, Any]            =						re.compile(R'<FILL\s+[^>]*>')





def 	lowercase__(		A      ):
       snake_case__ :       str	   =							code.split('\n'      )
       snake_case__ :       List[Any]	   =							0
       while idx < len(lowerCAmelCase_      ) and len(lines[idx]      ) == 0:
              idx += 1
       if idx < len(lowerCAmelCase_      ):
              return re.search(R'^(\s*)\S'     ,			lines[idx]      ).groups()[0]
       return ""





def 	lowercase__(		A      ):
       snake_case__ :       str	   =							len(get_indent(lowerCAmelCase_      )      ) > 0
       if has_indent:
              snake_case__ :       Optional[Any]	   =							f'''class Bla:\n{code}'''
       snake_case__ :       List[Any]	   =							black.Mode(target_versions={black.TargetVersion.PYaa}     ,			line_length=1_1_9     ,			preview=lowerCAmelCase_      )
       snake_case__ :       Tuple	   =							black.format_str(lowerCAmelCase_     ,			mode=lowerCAmelCase_      )
       snake_case__   ,				snake_case__ :       Dict	   =							style_docstrings_in_code(lowerCAmelCase_      )
       return result[len('class Bla:\n'      ) :] if has_indent else result





def 	lowercase__(		A     ,			A=False      ):
       with open(lowerCAmelCase_     ,			'r'     ,			encoding='utf-8'     ,			newline='\n'      ) as f:
              snake_case__ :       str	   =							f.readlines()
       snake_case__ :       str	   =							[]
       snake_case__ :       int	   =							0
       # Not a for loop cause `lines` is going to change (if `overwrite=True`).
       while line_index < len(lowerCAmelCase_      ):
              snake_case__ :       str	   =							_re_copy_warning.search(lines[line_index]      )
              if search is None:
                     line_index += 1
                     continue

              # There is some copied code here, let's retrieve the original.
              snake_case__   ,				snake_case__   ,				snake_case__ :       Dict	   =							search.groups()
              snake_case__ :       str	   =							find_code_in_diffusers(lowerCAmelCase_      )
              snake_case__ :       Dict	   =							get_indent(lowerCAmelCase_      )

              snake_case__ :       Optional[int]	   =							line_index + 1 if indent == theoretical_indent else line_index + 2
              snake_case__ :       int	   =							theoretical_indent
              snake_case__ :       List[str]	   =							start_index

              # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
              snake_case__ :       Union[str, Any]	   =							True
              while line_index < len(lowerCAmelCase_      ) and should_continue:
                     line_index += 1
                     if line_index >= len(lowerCAmelCase_      ):
                            break
                     snake_case__ :       Union[str, Any]	   =							lines[line_index]
                     snake_case__ :       Any	   =							_should_continue(lowerCAmelCase_     ,			lowerCAmelCase_      ) and re.search(f'''^{indent}# End copy'''     ,			lowerCAmelCase_      ) is None
              # Clean up empty lines at the end (if any).
              while len(lines[line_index - 1]      ) <= 1:
                     line_index -= 1

              snake_case__ :       Union[str, Any]	   =							lines[start_index:line_index]
              snake_case__ :       Any	   =							''.join(lowerCAmelCase_      )

              # Remove any nested `Copied from` comments to avoid circular copies
              snake_case__ :       List[str]	   =							[line for line in theoretical_code.split('\n'      ) if _re_copy_warning.search(lowerCAmelCase_      ) is None]
              snake_case__ :       str	   =							'\n'.join(lowerCAmelCase_      )

              # Before comparing, use the `replace_pattern` on the original code.
              if len(lowerCAmelCase_      ) > 0:
                     snake_case__ :       str	   =							replace_pattern.replace('with'     ,			''      ).split(','      )
                     snake_case__ :       List[Any]	   =							[_re_replace_pattern.search(lowerCAmelCase_      ) for p in patterns]
                     for pattern in patterns:
                            if pattern is None:
                                   continue
                            snake_case__   ,				snake_case__   ,				snake_case__ :       str	   =							pattern.groups()
                            snake_case__ :       Union[str, Any]	   =							re.sub(lowerCAmelCase_     ,			lowerCAmelCase_     ,			lowerCAmelCase_      )
                            if option.strip() == "all-casing":
                                   snake_case__ :       Tuple	   =							re.sub(obja.lower()     ,			obja.lower()     ,			lowerCAmelCase_      )
                                   snake_case__ :       Tuple	   =							re.sub(obja.upper()     ,			obja.upper()     ,			lowerCAmelCase_      )

                                     # Blackify after replacement. To be able to do that, we need the header (class or function definition)
                                     # from the previous line
                     snake_case__ :       Optional[Any]	   =							blackify(lines[start_index - 1] + theoretical_code      )
                     snake_case__ :       Dict	   =							theoretical_code[len(lines[start_index - 1]      ) :]

              # Test for a diff and act accordingly.
              if observed_code != theoretical_code:
                     diffs.append([object_name, start_index]      )
                     if overwrite:
                            snake_case__ :       Any	   =							lines[:start_index] + [theoretical_code] + lines[line_index:]
                            snake_case__ :       str	   =							start_index + 1

       if overwrite and len(lowerCAmelCase_      ) > 0:
              # Warn the user a file has been modified.
              print(f'''Detected changes, rewriting {filename}.'''      )
              with open(lowerCAmelCase_     ,			'w'     ,			encoding='utf-8'     ,			newline='\n'      ) as f:
                     f.writelines(lowerCAmelCase_      )
       return diffs





def 	lowercase__(		A = False      ):
       snake_case__ :       List[Any]	   =							glob.glob(os.path.join(lowerCAmelCase_     ,			'**/*.py'      )     ,			recursive=lowerCAmelCase_      )
       snake_case__ :       Optional[int]	   =							[]
       for filename in all_files:
              snake_case__ :       Dict	   =							is_copy_consistent(lowerCAmelCase_     ,			lowerCAmelCase_      )
              diffs += [f'''- {filename}: copy does not match {d[0]} at line {d[1]}''' for d in new_diffs]
       if not overwrite and len(lowerCAmelCase_      ) > 0:
              snake_case__ :       int	   =							'\n'.join(lowerCAmelCase_      )
              raise Exception(
                  'Found the following copy inconsistencies:\n'
                  + diff
                  + '\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them.'      )


if __name__ == "__main__":
 lowerCamelCase					:		Optional[int]            =						argparse.ArgumentParser()
 parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
 lowerCamelCase					:		Union[str, Any]            =						parser.parse_args()

 check_copies(args.fix_and_overwrite)










"""simple docstring"""






import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
     snake_case   					=				'''pt'''
elif is_tf_available():
     snake_case   					=				'''tf'''
else:
     snake_case   					=				'''jax'''



class     UpperCAmelCase    (	__SCREAMING_SNAKE_CASE,unittest.TestCase  ):
   A__		:	Union[str, Any]           =  PerceiverTokenizer
   A__		:	Optional[int]           =  False



   def    __UpperCAmelCase    (       self    :	List[Any]				):



     """simple docstring"""
     super().setUp()
     _snake_case   	=      PerceiverTokenizer()
     tokenizer.save_pretrained(self.tmpdirname				)



   @cached_property
   def    __UpperCAmelCase    (       self    :	int				):



     """simple docstring"""
     return PerceiverTokenizer.from_pretrained('''deepmind/language-perceiver'''				)



   def    __UpperCAmelCase    (       self    :	Union[str, Any]							,       **__lowerCamelCase    :	Union[str, Any]				):



     """simple docstring"""
     return self.tokenizer_class.from_pretrained(self.tmpdirname							,       **__lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	Dict							,       __lowerCamelCase    :	List[Any]							,       __lowerCamelCase    :	List[str]=False							,       __lowerCamelCase    :	int=2_0							,       __lowerCamelCase    :	List[Any]=5				):



     """simple docstring"""
     # XXX The default common tokenizer tests assume that every ID is decodable on its own.
     # This assumption is invalid for Perceiver because single bytes might not be
     # valid utf-8 (byte 128 for instance).
     # Here we're overriding the smallest possible method to provide
     # a clean sequence without making the same assumption.

     _snake_case   	=      []
     for i in range(len(__lowerCamelCase				)				):
       try:
         _snake_case   	=      tokenizer.decode([i]							,       clean_up_tokenization_spaces=__lowerCamelCase				)
       except UnicodeDecodeError:
         pass
       toks.append((i, tok)				)

     _snake_case   	=      list(filter(lambda __lowerCamelCase				: re.match(R'''^[ a-zA-Z]+$'''							,       t[1]				)							,       __lowerCamelCase				)				)
     _snake_case   	=      list(filter(lambda __lowerCamelCase				: [t[0]] == tokenizer.encode(t[1]							,       add_special_tokens=__lowerCamelCase				)							,       __lowerCamelCase				)				)
     if max_length is not None and len(__lowerCamelCase				) > max_length:
       _snake_case   	=      toks[:max_length]
     if min_length is not None and len(__lowerCamelCase				) < min_length and len(__lowerCamelCase				) > 0:
       while len(__lowerCamelCase				) < min_length:
         _snake_case   	=      toks + toks
        # toks_str = [t[1] for t in toks]
     _snake_case   	=      [t[0] for t in toks]

     # Ensure consistency
     _snake_case   	=      tokenizer.decode(__lowerCamelCase							,       clean_up_tokenization_spaces=__lowerCamelCase				)
     if " " not in output_txt and len(__lowerCamelCase				) > 1:
       _snake_case   	=      (
           tokenizer.decode([toks_ids[0]]							,       clean_up_tokenization_spaces=__lowerCamelCase				)
           + ''' '''
           + tokenizer.decode(toks_ids[1:]							,       clean_up_tokenization_spaces=__lowerCamelCase				)
       )
     if with_prefix_space:
       _snake_case   	=      ''' ''' + output_txt
     _snake_case   	=      tokenizer.encode(__lowerCamelCase							,       add_special_tokens=__lowerCamelCase				)
     return output_txt, output_ids



   def    __UpperCAmelCase    (       self    :	List[str]				):



     """simple docstring"""
     _snake_case   	=      self.perceiver_tokenizer
     _snake_case   	=      '''Unicode €.'''
     _snake_case   	=      tokenizer(__lowerCamelCase				)
     _snake_case   	=      [4, 9_1, 1_1_6, 1_1_1, 1_0_5, 1_1_7, 1_0_6, 1_0_7, 3_8, 2_3_2, 1_3_6, 1_7_8, 5_2, 5]
     self.assertEqual(encoded['''input_ids''']							,       __lowerCamelCase				)

     # decoding
     _snake_case   	=      tokenizer.decode(__lowerCamelCase				)
     self.assertEqual(__lowerCamelCase							,       '''[CLS]Unicode €.[SEP]'''				)

     _snake_case   	=      tokenizer('''e è é ê ë'''				)
     _snake_case   	=      [4, 1_0_7, 3_8, 2_0_1, 1_7_4, 3_8, 2_0_1, 1_7_5, 3_8, 2_0_1, 1_7_6, 3_8, 2_0_1, 1_7_7, 5]
     self.assertEqual(encoded['''input_ids''']							,       __lowerCamelCase				)
     # decoding
     _snake_case   	=      tokenizer.decode(__lowerCamelCase				)
     self.assertEqual(__lowerCamelCase							,       '''[CLS]e è é ê ë[SEP]'''				)

     # encode/decode, but with `encode` instead of `__call__`
     self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''				)				)							,       '''[CLS]e è é ê ë[SEP]'''				)



   def    __UpperCAmelCase    (       self    :	Optional[int]				):



     """simple docstring"""
     _snake_case   	=      self.perceiver_tokenizer
     _snake_case   	=      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
     # fmt: off
     _snake_case   	=      [4, 7_1, 3_8, 1_1_4, 1_1_7, 1_1_6, 1_0_9, 3_8, 1_1_8, 1_0_3, 1_2_0, 1_0_3, 1_0_9, 1_2_0, 1_0_3, 1_1_8, 1_1_0, 3_8, 1_0_8, 1_1_7, 1_2_0, 3_8, 1_2_1, 1_2_3, 1_1_5, 1_1_5, 1_0_3, 1_2_0, 1_1_1, 1_2_8, 1_0_3, 1_2_2, 1_1_1, 1_1_7, 1_1_6, 5_2, 5, 0]
     # fmt: on
     _snake_case   	=      tokenizer(__lowerCamelCase							,       padding=__lowerCamelCase							,       return_tensors=__lowerCamelCase				)
     self.assertIsInstance(__lowerCamelCase							,       __lowerCamelCase				)

     if FRAMEWORK != "jax":
       _snake_case   	=      list(batch.input_ids.numpy()[0]				)
     else:
       _snake_case   	=      list(batch.input_ids.tolist()[0]				)

     self.assertListEqual(__lowerCamelCase							,       __lowerCamelCase				)

     self.assertEqual((2, 3_8)							,       batch.input_ids.shape				)
     self.assertEqual((2, 3_8)							,       batch.attention_mask.shape				)



   def    __UpperCAmelCase    (       self    :	Any				):



     """simple docstring"""
     _snake_case   	=      self.perceiver_tokenizer
     _snake_case   	=      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
     _snake_case   	=      tokenizer(__lowerCamelCase							,       padding=__lowerCamelCase							,       return_tensors=__lowerCamelCase				)
     # check if input_ids are returned and no decoder_input_ids
     self.assertIn('''input_ids'''							,       __lowerCamelCase				)
     self.assertIn('''attention_mask'''							,       __lowerCamelCase				)
     self.assertNotIn('''decoder_input_ids'''							,       __lowerCamelCase				)
     self.assertNotIn('''decoder_attention_mask'''							,       __lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	int				):



     """simple docstring"""
     _snake_case   	=      self.perceiver_tokenizer
     _snake_case   	=      [
         '''Summary of the text.''',
         '''Another summary.''',
     ]
     _snake_case   	=      tokenizer(
         text_target=__lowerCamelCase							,       max_length=3_2							,       padding='''max_length'''							,       truncation=__lowerCamelCase							,       return_tensors=__lowerCamelCase				)
     self.assertEqual(3_2							,       targets['''input_ids'''].shape[1]				)



   def    __UpperCAmelCase    (       self    :	List[Any]				):



     """simple docstring"""
     # safety check on max_len default value so we are sure the test works
     _snake_case   	=      self.get_tokenizers()
     for tokenizer in tokenizers:
       with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
         self.assertNotEqual(tokenizer.model_max_length							,       4_2				)

        # Now let's start the test
     _snake_case   	=      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
         _snake_case   	=      tempfile.mkdtemp()

         _snake_case   	=      ''' He is very happy, UNwant\u00E9d,running'''
         _snake_case   	=      tokenizer.encode(__lowerCamelCase							,       add_special_tokens=__lowerCamelCase				)
         tokenizer.save_pretrained(__lowerCamelCase				)

         _snake_case   	=      tokenizer.__class__.from_pretrained(__lowerCamelCase				)
         _snake_case   	=      after_tokenizer.encode(__lowerCamelCase							,       add_special_tokens=__lowerCamelCase				)
         self.assertListEqual(__lowerCamelCase							,       __lowerCamelCase				)

         shutil.rmtree(__lowerCamelCase				)

     _snake_case   	=      self.get_tokenizers(model_max_length=4_2				)
     for tokenizer in tokenizers:
       with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
         # Isolate this from the other tests because we save additional tokens/etc
         _snake_case   	=      tempfile.mkdtemp()

         _snake_case   	=      ''' He is very happy, UNwant\u00E9d,running'''
         tokenizer.add_tokens(['''bim''', '''bambam''']				)
         _snake_case   	=      tokenizer.additional_special_tokens
         additional_special_tokens.append('''new_additional_special_token'''				)
         tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}				)
         _snake_case   	=      tokenizer.encode(__lowerCamelCase							,       add_special_tokens=__lowerCamelCase				)
         tokenizer.save_pretrained(__lowerCamelCase				)

         _snake_case   	=      tokenizer.__class__.from_pretrained(__lowerCamelCase				)
         _snake_case   	=      after_tokenizer.encode(__lowerCamelCase							,       add_special_tokens=__lowerCamelCase				)
         self.assertListEqual(__lowerCamelCase							,       __lowerCamelCase				)
         self.assertIn('''new_additional_special_token'''							,       after_tokenizer.additional_special_tokens				)
         self.assertEqual(after_tokenizer.model_max_length							,       4_2				)

         _snake_case   	=      tokenizer.__class__.from_pretrained(__lowerCamelCase							,       model_max_length=4_3				)
         self.assertEqual(tokenizer.model_max_length							,       4_3				)

         shutil.rmtree(__lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	Tuple				):



     """simple docstring"""
     _snake_case   	=      []
     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:
           _snake_case   	=      json.load(__lowerCamelCase				)

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

         _snake_case   	=      [f"""<extra_id_{i}>""" for i in range(1_2_5				)]

         _snake_case   	=      added_tokens_extra_ids + [
             '''an_additional_special_token'''
         ]
         _snake_case   	=      added_tokens_extra_ids + [
             '''an_additional_special_token'''
         ]

         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
         _snake_case   	=      tokenizer_class.from_pretrained(
             __lowerCamelCase							,       )
         self.assertIn(
             '''an_additional_special_token'''							,       tokenizer_without_change_in_init.additional_special_tokens				)
         self.assertEqual(
             ['''an_additional_special_token''']							,       tokenizer_without_change_in_init.convert_ids_to_tokens(
                 tokenizer_without_change_in_init.convert_tokens_to_ids(['''an_additional_special_token''']				)				)							,       )

         # Now we test that we can change the value of additional_special_tokens in the from_pretrained
         _snake_case   	=      added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''							,       lstrip=__lowerCamelCase				)]
         _snake_case   	=      tokenizer_class.from_pretrained(
             __lowerCamelCase							,       additional_special_tokens=__lowerCamelCase							,       )

         self.assertIn('''a_new_additional_special_token'''							,       tokenizer.additional_special_tokens				)
         self.assertEqual(
             ['''a_new_additional_special_token''']							,       tokenizer.convert_ids_to_tokens(
                 tokenizer.convert_tokens_to_ids(['''a_new_additional_special_token''']				)				)							,       )



   def    __UpperCAmelCase    (       self    :	Optional[int]				):



     """simple docstring"""
     _snake_case   	=      self.perceiver_tokenizer
     self.assertEqual(tokenizer.decode([1_7_8]				)							,       '''�'''				)



   def    __UpperCAmelCase    (       self    :	Any				):



     """simple docstring"""
     pass



   def    __UpperCAmelCase    (       self    :	str				):



     """simple docstring"""
     pass



   def    __UpperCAmelCase    (       self    :	str				):



     """simple docstring"""
     pass



   def    __UpperCAmelCase    (       self    :	int				):



     """simple docstring"""
     pass





   def    __UpperCAmelCase    (       self    :	List[Any]				):



     """simple docstring"""
     # The default common tokenizer tests uses invalid tokens for Perceiver that can only accept one-character
     # strings and special added tokens as tokens
     _snake_case   	=      self.get_tokenizers(fast=__lowerCamelCase							,       do_lower_case=__lowerCamelCase				)
     for tokenizer in tokenizers:
       with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
         _snake_case   	=      ['''[CLS]''', '''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''s''', '''t''', '''[SEP]''']
         _snake_case   	=      tokenizer.convert_tokens_to_string(__lowerCamelCase				)

         self.assertIsInstance(__lowerCamelCase							,       __lowerCamelCase				)





