






'''simple docstring'''

import collections
import os
import re
from pathlib import Path


UpperCamelCase							="src/transformers"


# Matches is_xxx_available()
UpperCamelCase							=re.compile(R"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
UpperCamelCase							=re.compile(R"^_import_structure\s+=\s+\{([^\}]+)\}")
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
UpperCamelCase							=re.compile(R"\s+\"\S*\":\s+\[([^\]]*)\]")
# Catches a line if not is_foo_available
UpperCamelCase							=re.compile(R"^\s*if\s+not\s+is\_[a-z_]*\_available\(\)")
# Catches a line _import_struct["bla"].append("foo")
UpperCamelCase							=re.compile(R"^\s*_import_structure\[\"\S*\"\]\.append\(\"(\S*)\"\)")
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
UpperCamelCase							=re.compile(R"^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]")
# Catches a line with an object between quotes and a comma:     "MyModel",
UpperCamelCase							=re.compile(R"^\s+\"([^\"]+)\",")
# Catches a line with objects between brackets only:    ["foo", "bar"],
UpperCamelCase							=re.compile(R"^\s+\[([^\]]+)\]")
# Catches a line with from foo import bar, bla, boo
UpperCamelCase							=re.compile(R"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")
# Catches a line with try:
UpperCamelCase							=re.compile(R"^\s*try:")
# Catches a line with else:
UpperCamelCase							=re.compile(R"^\s*else:")



def 							snake_case					(     a_							: List[str]	)       ->				List[str]:





      """simple docstring"""

      if _re_test_backend.search(a_	) is None:
            return None
      UpperCamelCase_				:   List[Any]					    =							[b[0] for b in _re_backend.findall(a_	)]
      backends.sort()
      return "_and_".join(a_	)



def 							snake_case					(     a_							: str	)       ->				Dict:





      """simple docstring"""

      with open(a_    ,   """r"""    ,   encoding="""utf-8"""    ,   newline="""\n"""	) as f:
            UpperCamelCase_				:   Optional[int]					    =							f.readlines()

      UpperCamelCase_				:   Union[str, Any]					    =							0
      while line_index < len(a_	) and not lines[line_index].startswith("""_import_structure = {"""	):
            line_index += 1

      # If this is a traditional init, just return.
      if line_index >= len(a_	):
            return None

      # First grab the objects without a specific backend in _import_structure
      UpperCamelCase_				:   List[Any]					    =							[]
      while not lines[line_index].startswith("""if TYPE_CHECKING"""	) and find_backend(lines[line_index]	) is None:
            UpperCamelCase_				:   Tuple					    =							lines[line_index]
            # If we have everything on a single line, let's deal with it.
            if _re_one_line_import_struct.search(a_	):
                  UpperCamelCase_				:   Optional[int]					    =							_re_one_line_import_struct.search(a_	).groups()[0]
                  UpperCamelCase_				:   Optional[Any]					    =							re.findall(r"""\[([^\]]+)\]"""    ,   a_	)
                  for imp in imports:
                        objects.extend([obj[1:-1] for obj in imp.split(""", """	)]	)
                  line_index += 1
                  continue
            UpperCamelCase_				:   Dict					    =							_re_import_struct_key_value.search(a_	)
            if single_line_import_search is not None:
                  UpperCamelCase_				:   Optional[Any]					    =							[obj[1:-1] for obj in single_line_import_search.groups()[0].split(""", """	) if len(a_	) > 0]
                  objects.extend(a_	)
            elif line.startswith(""" """ * 8 + """\""""	):
                  objects.append(line[9:-3]	)
            line_index += 1

      UpperCamelCase_				:   str					    =							{"""none""": objects}
      # Let's continue with backend-specific objects in _import_structure
      while not lines[line_index].startswith("""if TYPE_CHECKING"""	):
            # If the line is an if not is_backend_available, we grab all objects associated.
            UpperCamelCase_				:   List[str]					    =							find_backend(lines[line_index]	)
            # Check if the backend declaration is inside a try block:
            if _re_try.search(lines[line_index - 1]	) is None:
                  UpperCamelCase_				:   Union[str, Any]					    =							None

            if backend is not None:
                  line_index += 1

                  # Scroll until we hit the else block of try-except-else
                  while _re_else.search(lines[line_index]	) is None:
                        line_index += 1

                  line_index += 1

                  UpperCamelCase_				:   Optional[int]					    =							[]
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]	) <= 1 or lines[line_index].startswith(""" """ * 4	):
                        UpperCamelCase_				:   int					    =							lines[line_index]
                        if _re_import_struct_add_one.search(a_	) is not None:
                              objects.append(_re_import_struct_add_one.search(a_	).groups()[0]	)
                        elif _re_import_struct_add_many.search(a_	) is not None:
                              UpperCamelCase_				:   Any					    =							_re_import_struct_add_many.search(a_	).groups()[0].split(""", """	)
                              UpperCamelCase_				:   str					    =							[obj[1:-1] for obj in imports if len(a_	) > 0]
                              objects.extend(a_	)
                        elif _re_between_brackets.search(a_	) is not None:
                              UpperCamelCase_				:   Optional[int]					    =							_re_between_brackets.search(a_	).groups()[0].split(""", """	)
                              UpperCamelCase_				:   Optional[Any]					    =							[obj[1:-1] for obj in imports if len(a_	) > 0]
                              objects.extend(a_	)
                        elif _re_quote_object.search(a_	) is not None:
                              objects.append(_re_quote_object.search(a_	).groups()[0]	)
                        elif line.startswith(""" """ * 8 + """\""""	):
                              objects.append(line[9:-3]	)
                        elif line.startswith(""" """ * 12 + """\""""	):
                              objects.append(line[13:-3]	)
                        line_index += 1

                  UpperCamelCase_				:   Optional[Any]					    =							objects
            else:
                  line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
      UpperCamelCase_				:   List[str]					    =							[]
      while (
          line_index < len(a_	)
          and find_backend(lines[line_index]	) is None
          and not lines[line_index].startswith("""else"""	)
      ):
            UpperCamelCase_				:   Optional[int]					    =							lines[line_index]
            UpperCamelCase_				:   Any					    =							_re_import.search(a_	)
            if single_line_import_search is not None:
                  objects.extend(single_line_import_search.groups()[0].split(""", """	)	)
            elif line.startswith(""" """ * 8	):
                  objects.append(line[8:-2]	)
            line_index += 1

      UpperCamelCase_				:   Any					    =							{"""none""": objects}
      # Let's continue with backend-specific objects
      while line_index < len(a_	):
            # If the line is an if is_backend_available, we grab all objects associated.
            UpperCamelCase_				:   List[str]					    =							find_backend(lines[line_index]	)
            # Check if the backend declaration is inside a try block:
            if _re_try.search(lines[line_index - 1]	) is None:
                  UpperCamelCase_				:   Optional[int]					    =							None

            if backend is not None:
                  line_index += 1

                  # Scroll until we hit the else block of try-except-else
                  while _re_else.search(lines[line_index]	) is None:
                        line_index += 1

                  line_index += 1

                  UpperCamelCase_				:   Dict					    =							[]
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]	) <= 1 or lines[line_index].startswith(""" """ * 8	):
                        UpperCamelCase_				:   List[Any]					    =							lines[line_index]
                        UpperCamelCase_				:   Tuple					    =							_re_import.search(a_	)
                        if single_line_import_search is not None:
                              objects.extend(single_line_import_search.groups()[0].split(""", """	)	)
                        elif line.startswith(""" """ * 12	):
                              objects.append(line[12:-2]	)
                        line_index += 1

                  UpperCamelCase_				:   Tuple					    =							objects
            else:
                  line_index += 1

      return import_dict_objects, type_hint_objects



def 							snake_case					(     a_							: Tuple    ,   a_							: Optional[Any]	)       ->				List[str]:





      """simple docstring"""

      def find_duplicates(a_							: List[str]	):
            return [k for k, v in collections.Counter(a_	).items() if v > 1]

      if list(import_dict_objects.keys()	) != list(type_hint_objects.keys()	):
            return ["Both sides of the init do not have the same backends!"]

      UpperCamelCase_				:   Optional[Any]					    =							[]
      for key in import_dict_objects.keys():
            UpperCamelCase_				:   Union[str, Any]					    =							find_duplicates(import_dict_objects[key]	)
            if duplicate_imports:
                  errors.append(f"Duplicate _import_structure definitions for: {duplicate_imports}"	)
            UpperCamelCase_				:   List[str]					    =							find_duplicates(type_hint_objects[key]	)
            if duplicate_type_hints:
                  errors.append(f"Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}"	)

            if sorted(set(import_dict_objects[key]	)	) != sorted(set(type_hint_objects[key]	)	):
                  UpperCamelCase_				:   Tuple					    =							"""base imports""" if key == """none""" else f"{key} backend"
                  errors.append(f"Differences for {name}:"	)
                  for a in type_hint_objects[key]:
                        if a not in import_dict_objects[key]:
                              errors.append(f"  {a} in TYPE_HINT but not in _import_structure."	)
                  for a in import_dict_objects[key]:
                        if a not in type_hint_objects[key]:
                              errors.append(f"  {a} in _import_structure but not in TYPE_HINT."	)
      return errors



def 							snake_case					(     )       ->				List[Any]:





      """simple docstring"""

      UpperCamelCase_				:   List[Any]					    =							[]
      for root, _, files in os.walk(a_	):
            if "__init__.py" in files:
                  UpperCamelCase_				:   Dict					    =							os.path.join(a_    ,   """__init__.py"""	)
                  UpperCamelCase_				:   Any					    =							parse_init(a_	)
                  if objects is not None:
                        UpperCamelCase_				:   Union[str, Any]					    =							analyze_results(*a_	)
                        if len(a_	) > 0:
                              UpperCamelCase_				:   Any					    =							f"Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"
                              failures.append("""\n""".join(a_	)	)
      if len(a_	) > 0:
            raise ValueError("""\n\n""".join(a_	)	)



def 							snake_case					(     )       ->				int:





      """simple docstring"""

      UpperCamelCase_				:   int					    =							[]
      for path, directories, files in os.walk(a_	):
            for folder in directories:
                  # Ignore private modules
                  if folder.startswith("""_"""	):
                        directories.remove(a_	)
                        continue
                  # Ignore leftovers from branches (empty folders apart from pycache)
                  if len(list((Path(a_	) / folder).glob("""*.py"""	)	)	) == 0:
                        continue
                  UpperCamelCase_				:   str					    =							str((Path(a_	) / folder).relative_to(a_	)	)
                  UpperCamelCase_				:   Dict					    =							short_path.replace(os.path.sep    ,   """."""	)
                  submodules.append(a_	)
            for fname in files:
                  if fname == "__init__.py":
                        continue
                  UpperCamelCase_				:   str					    =							str((Path(a_	) / fname).relative_to(a_	)	)
                  UpperCamelCase_				:   List[Any]					    =							short_path.replace(""".py"""    ,   """"""	).replace(os.path.sep    ,   """."""	)
                  if len(submodule.split("""."""	)	) == 1:
                        submodules.append(a_	)
      return submodules


UpperCamelCase							=[
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
    "models.esm.openfold_utils",
]



def 							snake_case					(     )       ->				Optional[int]:





      """simple docstring"""

      from transformers.utils import direct_transformers_import

      UpperCamelCase_				:   Optional[int]					    =							direct_transformers_import(a_	)

      UpperCamelCase_				:   Any					    =							set(transformers._import_structure.keys()	)
      # This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
      # some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
      # (potentiall re-) add them.
      with open(os.path.join(a_    ,   """__init__.py"""	)    ,   """r"""	) as f:
            UpperCamelCase_				:   Any					    =							f.read()
      import_structure_keys.update(set(re.findall(r"""import_structure\[\"([^\"]*)\"\]"""    ,   a_	)	)	)

      UpperCamelCase_				:   Optional[int]					    =							[
          module
          for module in get_transformers_submodules()
          if module not in IGNORE_SUBMODULES and module not in import_structure_keys
      ]

      if len(a_	) > 0:
            UpperCamelCase_				:   List[Any]					    =							"""\n""".join(f"- {module}" for module in module_not_registered	)
            raise ValueError(
                """The following submodules are not properly registed in the main init of Transformers:\n"""
                f"{list_of_modules}\n"
                """Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value."""	)


if __name__ == "__main__":
      check_all_inits()
      check_submodules()














'''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():
      UpperCamelCase							="pt"
elif is_tf_available():
      UpperCamelCase							="tf"
else:
      UpperCamelCase							="jax"




class     A    (      SCREAMING_SNAKE_CASE__,   unittest.TestCase						):






 """simple docstring"""





 __a			:						int      =						PerceiverTokenizer
 __a			:						List[str]      =						False
 def   _UpperCAmelCase       (							self ):
       super().setUp()
       UpperCamelCase_				:   Optional[int]					    =							PerceiverTokenizer()
       tokenizer.save_pretrained(self.tmpdirname )
 @cached_property
 def   _UpperCAmelCase       (							self ):
       return PerceiverTokenizer.from_pretrained("""deepmind/language-perceiver""" )
 def   _UpperCAmelCase       (							self			,     **__lowerCAmelCase ):
       return self.tokenizer_class.from_pretrained(self.tmpdirname			,     **__lowerCAmelCase )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase=False			,     __lowerCAmelCase=20			,     __lowerCAmelCase=5 ):
       # 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.

       UpperCamelCase_				:   str					    =							[]
       for i in range(len(__lowerCAmelCase ) ):
             try:
                   UpperCamelCase_				:   Tuple					    =							tokenizer.decode([i]			,     clean_up_tokenization_spaces=__lowerCAmelCase )
             except UnicodeDecodeError:
                   pass
             toks.append((i, tok) )

       UpperCamelCase_				:   Optional[Any]					    =							list(filter(lambda __lowerCAmelCase : re.match(R"""^[ a-zA-Z]+$"""			,     t[1] )			,     __lowerCAmelCase ) )
       UpperCamelCase_				:   int					    =							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:
             UpperCamelCase_				:   List[Any]					    =							toks[:max_length]
       if min_length is not None and len(__lowerCAmelCase ) < min_length and len(__lowerCAmelCase ) > 0:
             while len(__lowerCAmelCase ) < min_length:
                   UpperCamelCase_				:   Tuple					    =							toks + toks
        # toks_str = [t[1] for t in toks]
       UpperCamelCase_				:   List[Any]					    =							[t[0] for t in toks]

       # Ensure consistency
       UpperCamelCase_				:   str					    =							tokenizer.decode(__lowerCAmelCase			,     clean_up_tokenization_spaces=__lowerCAmelCase )
       if " " not in output_txt and len(__lowerCAmelCase ) > 1:
             UpperCamelCase_				:   Tuple					    =							(
                 tokenizer.decode([toks_ids[0]]			,     clean_up_tokenization_spaces=__lowerCAmelCase )
                 + """ """
                 + tokenizer.decode(toks_ids[1:]			,     clean_up_tokenization_spaces=__lowerCAmelCase )
             )
       if with_prefix_space:
             UpperCamelCase_				:   Tuple					    =							""" """ + output_txt
       UpperCamelCase_				:   List[str]					    =							tokenizer.encode(__lowerCAmelCase			,     add_special_tokens=__lowerCAmelCase )
       return output_txt, output_ids
 def   _UpperCAmelCase       (							self ):
       UpperCamelCase_				:   Dict					    =							self.perceiver_tokenizer
       UpperCamelCase_				:   Optional[int]					    =							"""Unicode €."""
       UpperCamelCase_				:   Dict					    =							tokenizer(__lowerCAmelCase )
       UpperCamelCase_				:   Tuple					    =							[4, 91, 1_16, 1_11, 1_05, 1_17, 1_06, 1_07, 38, 2_32, 1_36, 1_78, 52, 5]
       self.assertEqual(encoded["""input_ids"""]			,     __lowerCAmelCase )

       # decoding
       UpperCamelCase_				:   str					    =							tokenizer.decode(__lowerCAmelCase )
       self.assertEqual(__lowerCAmelCase			,     """[CLS]Unicode €.[SEP]""" )

       UpperCamelCase_				:   str					    =							tokenizer("""e è é ê ë""" )
       UpperCamelCase_				:   List[str]					    =							[4, 1_07, 38, 2_01, 1_74, 38, 2_01, 1_75, 38, 2_01, 1_76, 38, 2_01, 1_77, 5]
       self.assertEqual(encoded["""input_ids"""]			,     __lowerCAmelCase )
       # decoding
       UpperCamelCase_				:   List[str]					    =							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 ):
       UpperCamelCase_				:   Union[str, Any]					    =							self.perceiver_tokenizer
       UpperCamelCase_				:   Optional[Any]					    =							["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
       # fmt: off
       UpperCamelCase_				:   int					    =							[4, 71, 38, 1_14, 1_17, 1_16, 1_09, 38, 1_18, 1_03, 1_20, 1_03, 1_09, 1_20, 1_03, 1_18, 1_10, 38, 1_08, 1_17, 1_20, 38, 1_21, 1_23, 1_15, 1_15, 1_03, 1_20, 1_11, 1_28, 1_03, 1_22, 1_11, 1_17, 1_16, 52, 5, 0]
       # fmt: on
       UpperCamelCase_				:   Any					    =							tokenizer(__lowerCAmelCase			,     padding=__lowerCAmelCase			,     return_tensors=__lowerCAmelCase )
       self.assertIsInstance(__lowerCAmelCase			,     __lowerCAmelCase )

       if FRAMEWORK != "jax":
             UpperCamelCase_				:   Optional[Any]					    =							list(batch.input_ids.numpy()[0] )
       else:
             UpperCamelCase_				:   Optional[int]					    =							list(batch.input_ids.tolist()[0] )

       self.assertListEqual(__lowerCAmelCase			,     __lowerCAmelCase )

       self.assertEqual((2, 38)			,     batch.input_ids.shape )
       self.assertEqual((2, 38)			,     batch.attention_mask.shape )
 def   _UpperCAmelCase       (							self ):
       UpperCamelCase_				:   Optional[int]					    =							self.perceiver_tokenizer
       UpperCamelCase_				:   Union[str, Any]					    =							["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
       UpperCamelCase_				:   int					    =							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 ):
       UpperCamelCase_				:   int					    =							self.perceiver_tokenizer
       UpperCamelCase_				:   List[str]					    =							[
           """Summary of the text.""",
           """Another summary.""",
       ]
       UpperCamelCase_				:   Dict					    =							tokenizer(
           text_target=__lowerCAmelCase			,     max_length=32			,     padding="""max_length"""			,     truncation=__lowerCAmelCase			,     return_tensors=__lowerCAmelCase )
       self.assertEqual(32			,     targets["""input_ids"""].shape[1] )
 def   _UpperCAmelCase       (							self ):
       # safety check on max_len default value so we are sure the test works
       UpperCamelCase_				:   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
       UpperCamelCase_				:   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
                   UpperCamelCase_				:   Tuple					    =							tempfile.mkdtemp()

                   UpperCamelCase_				:   Optional[int]					    =							""" He is very happy, UNwant\u00E9d,running"""
                   UpperCamelCase_				:   Dict					    =							tokenizer.encode(__lowerCAmelCase			,     add_special_tokens=__lowerCAmelCase )
                   tokenizer.save_pretrained(__lowerCAmelCase )

                   UpperCamelCase_				:   Tuple					    =							tokenizer.__class__.from_pretrained(__lowerCAmelCase )
                   UpperCamelCase_				:   Union[str, Any]					    =							after_tokenizer.encode(__lowerCAmelCase			,     add_special_tokens=__lowerCAmelCase )
                   self.assertListEqual(__lowerCAmelCase			,     __lowerCAmelCase )

                   shutil.rmtree(__lowerCAmelCase )

       UpperCamelCase_				:   Union[str, Any]					    =							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
                   UpperCamelCase_				:   Tuple					    =							tempfile.mkdtemp()

                   UpperCamelCase_				:   List[str]					    =							""" He is very happy, UNwant\u00E9d,running"""
                   tokenizer.add_tokens(["""bim""", """bambam"""] )
                   UpperCamelCase_				:   Any					    =							tokenizer.additional_special_tokens
                   additional_special_tokens.append("""new_additional_special_token""" )
                   tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens} )
                   UpperCamelCase_				:   Union[str, Any]					    =							tokenizer.encode(__lowerCAmelCase			,     add_special_tokens=__lowerCAmelCase )
                   tokenizer.save_pretrained(__lowerCAmelCase )

                   UpperCamelCase_				:   Tuple					    =							tokenizer.__class__.from_pretrained(__lowerCAmelCase )
                   UpperCamelCase_				:   List[Any]					    =							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			,     42 )

                   UpperCamelCase_				:   int					    =							tokenizer.__class__.from_pretrained(__lowerCAmelCase			,     model_max_length=43 )
                   self.assertEqual(tokenizer.model_max_length			,     43 )

                   shutil.rmtree(__lowerCAmelCase )
 def   _UpperCAmelCase       (							self ):
       UpperCamelCase_				:   str					    =							[]
       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:
                         UpperCamelCase_				:   Union[str, Any]					    =							json.load(__lowerCAmelCase )

                   with open(os.path.join(__lowerCAmelCase			,     """tokenizer_config.json""" )			,     encoding="""utf-8""" ) as json_file:
                         UpperCamelCase_				:   List[str]					    =							json.load(__lowerCAmelCase )

                   UpperCamelCase_				:   Tuple					    =							[F"<extra_id_{i}>" for i in range(1_25 )]

                   UpperCamelCase_				:   Union[str, Any]					    =							added_tokens_extra_ids + [
                       """an_additional_special_token"""
                   ]
                   UpperCamelCase_				:   List[Any]					    =							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
                   UpperCamelCase_				:   Optional[int]					    =							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
                   UpperCamelCase_				:   Optional[Any]					    =							added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token"""			,     lstrip=__lowerCAmelCase )]
                   UpperCamelCase_				:   Union[str, Any]					    =							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 ):
       UpperCamelCase_				:   List[Any]					    =							self.perceiver_tokenizer
       self.assertEqual(tokenizer.decode([1_78] )			,     """�""" )
 def   _UpperCAmelCase       (							self ):
       pass
 def   _UpperCAmelCase       (							self ):
       pass
 def   _UpperCAmelCase       (							self ):
       pass
 def   _UpperCAmelCase       (							self ):
       pass





 def   _UpperCAmelCase       (							self ):
       # The default common tokenizer tests uses invalid tokens for Perceiver that can only accept one-character
       # strings and special added tokens as tokens
       UpperCamelCase_				:   Dict					    =							self.get_tokenizers(fast=__lowerCAmelCase			,     do_lower_case=__lowerCAmelCase )
       for tokenizer in tokenizers:
             with self.subTest(F"{tokenizer.__class__.__name__}" ):
                   UpperCamelCase_				:   str					    =							["""[CLS]""", """t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """s""", """t""", """[SEP]"""]
                   UpperCamelCase_				:   Optional[Any]					    =							tokenizer.convert_tokens_to_string(__lowerCAmelCase )

                   self.assertIsInstance(__lowerCAmelCase			,     __lowerCAmelCase )






