
"""simple docstring"""




import argparse
import os
import re


a		:       List[Any]     						=       'src/diffusers'

# Pattern that looks at the indentation in a line.
a		:       Any     						=       re.compile(r'^(\s*)\S')
# Pattern that matches `"key":" and puts `key` in group 0.
a		:       str     						=       re.compile(r'^\s*"([^"]+)":')
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
a		:       str     						=       re.compile(r'^\s*_import_structure\["([^"]+)"\]')
# Pattern that matches `"key",` and puts `key` in group 0.
a		:       int     						=       re.compile(r'^\s*"([^"]+)",\s*$')
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
a		:       Any     						=       re.compile(r'\[([^\]]+)\]')



def     __magic_name__		(					UpperCamelCase     :		Tuple     )     ->						int:
    a__		=			_re_indent.search(UpperCamelCase     )
    return "" if search is None else search.groups()[0]



def     __magic_name__		(					UpperCamelCase     :		Union[str, Any]							,		UpperCamelCase     :		str=""							,		UpperCamelCase     :		int=None							,		UpperCamelCase     :		List[Any]=None     )     ->						List[str]:
    a__		=			0
    a__		=			code.split('\n'     )
    if start_prompt is not None:
        while not lines[index].startswith(UpperCamelCase     ):
            index += 1
        a__		=			['\n'.join(lines[:index]     )]
    else:
        a__		=			[]

    # We split into blocks until we get to the `end_prompt` (or the end of the block).
    a__		=			[lines[index]]
    index += 1
    while index < len(UpperCamelCase     ) and (end_prompt is None or not lines[index].startswith(UpperCamelCase     )):
        if len(lines[index]     ) > 0 and get_indent(lines[index]     ) == indent_level:
            if len(UpperCamelCase     ) > 0 and get_indent(current_block[-1]     ).startswith(indent_level + ' '     ):
                current_block.append(lines[index]     )
                blocks.append('\n'.join(UpperCamelCase     )     )
                if index < len(UpperCamelCase     ) - 1:
                    a__		=			[lines[index + 1]]
                    index += 1
                else:
                    a__		=			[]
            else:
                blocks.append('\n'.join(UpperCamelCase     )     )
                a__		=			[lines[index]]
        else:
            current_block.append(lines[index]     )
        index += 1

    # Adds current block if it's nonempty.
    if len(UpperCamelCase     ) > 0:
        blocks.append('\n'.join(UpperCamelCase     )     )

    # Add final block after end_prompt if provided.
    if end_prompt is not None and index < len(UpperCamelCase     ):
        blocks.append('\n'.join(lines[index:]     )     )

    return blocks



def     __magic_name__		(					UpperCamelCase     :		Optional[int]     )     ->						int:

    def _inner(UpperCamelCase     :		List[Any]     ):
        return key(UpperCamelCase     ).lower().replace('_'							,		''     )

    return _inner



def     __magic_name__		(					UpperCamelCase     :		Any							,		UpperCamelCase     :		List[str]=None     )     ->						Dict:

    # If no key is provided, we use a noop.
    def noop(UpperCamelCase     :		Tuple     ):
        return x

    if key is None:
        a__		=			noop
    # Constants are all uppercase, they go first.
    a__		=			[obj for obj in objects if key(UpperCamelCase     ).isupper()]
    # Classes are not all uppercase but start with a capital, they go second.
    a__		=			[obj for obj in objects if key(UpperCamelCase     )[0].isupper() and not key(UpperCamelCase     ).isupper()]
    # Functions begin with a lowercase, they go last.
    a__		=			[obj for obj in objects if not key(UpperCamelCase     )[0].isupper()]

    a__		=			ignore_underscore(UpperCamelCase     )
    return sorted(UpperCamelCase							,		key=UpperCamelCase     ) + sorted(UpperCamelCase							,		key=UpperCamelCase     ) + sorted(UpperCamelCase							,		key=UpperCamelCase     )



def     __magic_name__		(					UpperCamelCase     :		Union[str, Any]     )     ->						List[str]:

    # This inner function sort imports between [ ].
    def _replace(UpperCamelCase     :		Tuple     ):
        a__		=			match.groups()[0]
        if "," not in imports:
            return f'[{imports}]'
        a__		=			[part.strip().replace('"'							,		''     ) for part in imports.split(','     )]
        # We will have a final empty element if the line finished with a comma.
        if len(keys[-1]     ) == 0:
            a__		=			keys[:-1]
        return "[" + ", ".join([f'"{k}"' for k in sort_objects(UpperCamelCase     )]     ) + "]"

    a__		=			import_statement.split('\n'     )
    if len(UpperCamelCase     ) > 3:
        # Here we have to sort internal imports that are on several lines (one per name):
        # key: [
        #     "object1",
        #     "object2",
        #     ...
        # ]

        # We may have to ignore one or two lines on each side.
        a__		=			2 if lines[1].strip() == '[' else 1
        a__		=			[(i, _re_strip_line.search(UpperCamelCase     ).groups()[0]) for i, line in enumerate(lines[idx:-idx]     )]
        a__		=			sort_objects(UpperCamelCase							,		key=lambda UpperCamelCase     : x[1]     )
        a__		=			[lines[x[0] + idx] for x in sorted_indices]
        return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]     )
    elif len(UpperCamelCase     ) == 3:
        # Here we have to sort internal imports that are on one separate line:
        # key: [
        #     "object1", "object2", ...
        # ]
        if _re_bracket_content.search(lines[1]     ) is not None:
            a__		=			_re_bracket_content.sub(_replace							,		lines[1]     )
        else:
            a__		=			[part.strip().replace('"'							,		''     ) for part in lines[1].split(','     )]
            # We will have a final empty element if the line finished with a comma.
            if len(keys[-1]     ) == 0:
                a__		=			keys[:-1]
            a__		=			get_indent(lines[1]     ) + ', '.join([f'"{k}"' for k in sort_objects(UpperCamelCase     )]     )
        return "\n".join(UpperCamelCase     )
    else:
        # Finally we have to deal with imports fitting on one line
        a__		=			_re_bracket_content.sub(_replace							,		UpperCamelCase     )
        return import_statement



def     __magic_name__		(					UpperCamelCase     :		Dict							,		UpperCamelCase     :		List[str]=True     )     ->						str:
    with open(UpperCamelCase							,		'r'     ) as f:
        a__		=			f.read()

    if "_import_structure" not in code:
        return

    # Blocks of indent level 0
    a__		=			split_code_in_indented_blocks(
        UpperCamelCase							,		start_prompt='_import_structure = {'							,		end_prompt='if TYPE_CHECKING:'     )

    # We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
    for block_idx in range(1							,		len(UpperCamelCase     ) - 1     ):
        # Check if the block contains some `_import_structure`s thingy to sort.
        a__		=			main_blocks[block_idx]
        a__		=			block.split('\n'     )

        # Get to the start of the imports.
        a__		=			0
        while line_idx < len(UpperCamelCase     ) and "_import_structure" not in block_lines[line_idx]:
            # Skip dummy import blocks
            if "import dummy" in block_lines[line_idx]:
                a__		=			len(UpperCamelCase     )
            else:
                line_idx += 1
        if line_idx >= len(UpperCamelCase     ):
            continue

        # Ignore beginning and last line: they don't contain anything.
        a__		=			'\n'.join(block_lines[line_idx:-1]     )
        a__		=			get_indent(block_lines[1]     )
        # Slit the internal block into blocks of indent level 1.
        a__		=			split_code_in_indented_blocks(UpperCamelCase							,		indent_level=UpperCamelCase     )
        # We have two categories of import key: list or _import_structure[key].append/extend
        a__		=			_re_direct_key if '_import_structure' in block_lines[0] else _re_indirect_key
        # Grab the keys, but there is a trap: some lines are empty or just comments.
        a__		=			[(pattern.search(UpperCamelCase     ).groups()[0] if pattern.search(UpperCamelCase     ) is not None else None) for b in internal_blocks]
        # We only sort the lines with a key.
        a__		=			[(i, key) for i, key in enumerate(UpperCamelCase     ) if key is not None]
        a__		=			[x[0] for x in sorted(UpperCamelCase							,		key=lambda UpperCamelCase     : x[1]     )]

        # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
        a__		=			0
        a__		=			[]
        for i in range(len(UpperCamelCase     )     ):
            if keys[i] is None:
                reordered_blocks.append(internal_blocks[i]     )
            else:
                a__		=			sort_objects_in_import(internal_blocks[sorted_indices[count]]     )
                reordered_blocks.append(UpperCamelCase     )
                count += 1

        # And we put our main block back together with its first and last line.
        a__		=			'\n'.join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]     )

    if code != "\n".join(UpperCamelCase     ):
        if check_only:
            return True
        else:
            print(f'Overwriting {file}.'     )
            with open(UpperCamelCase							,		'w'     ) as f:
                f.write('\n'.join(UpperCamelCase     )     )



def     __magic_name__		(					UpperCamelCase     :		List[Any]=True     )     ->						Optional[int]:
    a__		=			[]
    for root, _, files in os.walk(UpperCamelCase     ):
        if "__init__.py" in files:
            a__		=			sort_imports(os.path.join(UpperCamelCase							,		'__init__.py'     )							,		check_only=UpperCamelCase     )
            if result:
                a__		=			[os.path.join(UpperCamelCase							,		'__init__.py'     )]
    if len(UpperCamelCase     ) > 0:
        raise ValueError(f'Would overwrite {len(UpperCamelCase     )} files, run `make style`.'     )


if __name__ == "__main__":
    a		:       List[Any]     						=       argparse.ArgumentParser()
    parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
    a		:       Dict     						=       parser.parse_args()

    sort_imports_in_all_inits(check_only=args.check_only)




"""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():
    a		:       str     						=       'pt'
elif is_tf_available():
    a		:       Dict     						=       'tf'
else:
    a		:       Optional[Any]     						=       'jax'







class     lowercase(_lowercase    ,						unittest.TestCase       ):
     __snake_case:	List[Any]						=     PerceiverTokenizer
     __snake_case:	Optional[Any]						=     False



     def 			lowercase__  (							self   )		->     Tuple:







         """simple docstring"""



         super().setUp()
         a__		=			PerceiverTokenizer()
         tokenizer.save_pretrained(self.tmpdirname   )



     @cached_property
     def 			lowercase__  (							self   )		->     Any:







         """simple docstring"""



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



     def 			lowercase__  (							self     ,				**__SCREAMING_SNAKE_CASE   )		->     PerceiverTokenizer:







         """simple docstring"""



         return self.tokenizer_class.from_pretrained(self.tmpdirname     ,				**__SCREAMING_SNAKE_CASE   )



     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE=False     ,				__SCREAMING_SNAKE_CASE=2_0     ,				__SCREAMING_SNAKE_CASE=5   )		->     Tuple[str, list]:







         """simple docstring"""



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

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

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



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







         """simple docstring"""



         a__		=			self.perceiver_tokenizer
         a__		=			'Unicode €.'
         a__		=			tokenizer(__SCREAMING_SNAKE_CASE   )
         a__		=			[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']     ,				__SCREAMING_SNAKE_CASE   )

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

         a__		=			tokenizer('e è é ê ë'   )
         a__		=			[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']     ,				__SCREAMING_SNAKE_CASE   )
         # decoding
         a__		=			tokenizer.decode(__SCREAMING_SNAKE_CASE   )
         self.assertEqual(__SCREAMING_SNAKE_CASE     ,				'[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 			lowercase__  (							self   )		->     List[str]:







         """simple docstring"""



         a__		=			self.perceiver_tokenizer
         a__		=			['A long paragraph for summarization.', 'Another paragraph for summarization.']
         # fmt: off
         a__		=			[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
         a__		=			tokenizer(__SCREAMING_SNAKE_CASE     ,				padding=__SCREAMING_SNAKE_CASE     ,				return_tensors=__SCREAMING_SNAKE_CASE   )
         self.assertIsInstance(__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE   )

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

         self.assertListEqual(__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE   )

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



     def 			lowercase__  (							self   )		->     Tuple:







         """simple docstring"""



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



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







         """simple docstring"""



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



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







         """simple docstring"""



         a__		=			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
         a__		=			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__		=			tempfile.mkdtemp()

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

                 a__		=			tokenizer.__class__.from_pretrained(__SCREAMING_SNAKE_CASE   )
                 a__		=			after_tokenizer.encode(__SCREAMING_SNAKE_CASE     ,				add_special_tokens=__SCREAMING_SNAKE_CASE   )
                 self.assertListEqual(__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE   )

                 shutil.rmtree(__SCREAMING_SNAKE_CASE   )

         a__		=			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
                 a__		=			tempfile.mkdtemp()

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

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

                 a__		=			tokenizer.__class__.from_pretrained(__SCREAMING_SNAKE_CASE     ,				model_max_length=4_3   )
                 self.assertEqual(tokenizer.model_max_length     ,				4_3   )

                 shutil.rmtree(__SCREAMING_SNAKE_CASE   )



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







         """simple docstring"""



         a__		=			[]
         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(__SCREAMING_SNAKE_CASE   )

                 with open(os.path.join(__SCREAMING_SNAKE_CASE     ,				'special_tokens_map.json'   )     ,				encoding='utf-8'   ) as json_file:
                     a__		=			json.load(__SCREAMING_SNAKE_CASE   )

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

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

                 a__		=			added_tokens_extra_ids + [
                     'an_additional_special_token'
                 ]
                 a__		=			added_tokens_extra_ids + [
                     'an_additional_special_token'
                 ]

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

                 # 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__		=			tokenizer_class.from_pretrained(
                     __SCREAMING_SNAKE_CASE     ,				)
                 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
                 a__		=			added_tokens_extra_ids + [AddedToken('a_new_additional_special_token'     ,				lstrip=__SCREAMING_SNAKE_CASE   )]
                 a__		=			tokenizer_class.from_pretrained(
                     __SCREAMING_SNAKE_CASE     ,				additional_special_tokens=__SCREAMING_SNAKE_CASE     ,				)

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







         """simple docstring"""



         a__		=			self.perceiver_tokenizer
         self.assertEqual(tokenizer.decode([1_7_8]   )     ,				'�'   )



     def 			lowercase__  (							self   )		->     str:







         """simple docstring"""



         pass



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







         """simple docstring"""



         pass



     def 			lowercase__  (							self   )		->     Dict:







         """simple docstring"""



         pass



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







         """simple docstring"""



         pass




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







         """simple docstring"""



         a__		=			self.get_tokenizers(fast=__SCREAMING_SNAKE_CASE     ,				do_lower_case=__SCREAMING_SNAKE_CASE   )
         for tokenizer in tokenizers:
             with self.subTest(f'{tokenizer.__class__.__name__}'   ):
                 a__		=			['[CLS]', 't', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 's', 't', '[SEP]']
                 a__		=			tokenizer.convert_tokens_to_string(__SCREAMING_SNAKE_CASE   )

                 self.assertIsInstance(__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE   )


