





import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


snake_case 				=       NewType("""DataClass""", Any)
snake_case 				=       NewType("""DataClassType""", Any)

def  SCREAMING_SNAKE_CASE__       (  snake_case__  :str     )      ->						Optional[Any]:






  if isinstance(_lowercase			,							_lowercase     ):
    return v
  if v.lower() in ("yes", "true", "t", "y", "1"):
    return True
  elif v.lower() in ("no", "false", "f", "n", "0"):
    return False
  else:
    raise ArgumentTypeError(
        F"""Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive)."""     )

def  SCREAMING_SNAKE_CASE__       (  snake_case__  :list     )      ->						Callable[[str], Any]:
  _lowercase							= {str(_lowercase     ): choice for choice in choices}
  return lambda snake_case__     : str_to_choice.get(_lowercase			,							_lowercase     )

def  SCREAMING_SNAKE_CASE__       (  *,
    snake_case__  :Union[str, List[str]] = None			,							snake_case__  :str = None			,							snake_case__  :Any = dataclasses.MISSING			,							snake_case__  :Callable[[], Any] = dataclasses.MISSING			,							snake_case__  :dict = None			,							**snake_case__  :Union[str, Any]			,							)      ->						dataclasses.Field:






  if metadata is None:
    # Important, don't use as default param in function signature because dict is mutable and shared across function calls
    _lowercase							= {}
  if aliases is not None:
    _lowercase							= aliases
  if help is not None:
    _lowercase							= help

  return dataclasses.field(metadata=_lowercase			,							default=_lowercase			,							default_factory=_lowercase			,							**_lowercase     )







class 				A_				(      a__	):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_      : Iterable[DataClassType]







       def __init__(    self	:	Dict						,__A	:	List[Any]						,**__A	:	str  )						->					int:
         # To make the default appear when using --help
         if "formatter_class" not in kwargs:
           _lowercase							= ArgumentDefaultsHelpFormatter
         super().__init__(**lowerCAmelCase__  )
         if dataclasses.is_dataclass(lowerCAmelCase__  ):
           _lowercase							= [dataclass_types]
         _lowercase							= list(lowerCAmelCase__  )
         for dtype in self.dataclass_types:
           self._add_dataclass_arguments(lowerCAmelCase__  )







       @staticmethod
       def    __UpperCAmelCase (    __A	:	Tuple						,__A	:	List[Any]  )						->					Optional[int]:
         _lowercase							= F"""--{field.name}"""
         _lowercase							= field.metadata.copy()
         # field.metadata is not used at all by Data Classes,
         # it is provided as a third-party extension mechanism.
         if isinstance(field.type						,lowerCAmelCase__  ):
           raise RuntimeError(
               'Unresolved type detected, which should have been done with the help of '
               '`typing.get_type_hints` method by default'  )

         _lowercase							= kwargs.pop('aliases'						,[]  )
         if isinstance(lowerCAmelCase__						,lowerCAmelCase__  ):
           _lowercase							= [aliases]

         _lowercase							= getattr(field.type						,'__origin__'						,field.type  )
         if origin_type is Union or (hasattr(lowerCAmelCase__						,'UnionType'  ) and isinstance(lowerCAmelCase__						,types.UnionType  )):
           if str not in field.type.__args__ and (
               len(field.type.__args__  ) != 2 or type(lowerCAmelCase__  ) not in field.type.__args__
           ):
             raise ValueError(
                 'Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because'
                 ' the argument parser only supports one type per argument.'
                 F""" Problem encountered in field '{field.name}'."""  )
           if type(lowerCAmelCase__  ) not in field.type.__args__:
             # filter `str` in Union
             _lowercase							= field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
             _lowercase							= getattr(field.type						,'__origin__'						,field.type  )
           elif bool not in field.type.__args__:
             # filter `NoneType` in Union (except for `Union[bool, NoneType]`)
             _lowercase							= (
                 field.type.__args__[0] if isinstance(lowerCAmelCase__						,field.type.__args__[1]  ) else field.type.__args__[1]
             )
             _lowercase							= getattr(field.type						,'__origin__'						,field.type  )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
         _lowercase							= {}
         if origin_type is Literal or (isinstance(field.type						,lowerCAmelCase__  ) and issubclass(field.type						,lowerCAmelCase__  )):
           if origin_type is Literal:
             _lowercase							= field.type.__args__
           else:
             _lowercase							= [x.value for x in field.type]

           _lowercase							= make_choice_type_function(kwargs['choices']  )

           if field.default is not dataclasses.MISSING:
             _lowercase							= field.default
           else:
             _lowercase							= True
         elif field.type is bool or field.type == Optional[bool]:
           # Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
           # We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
           _lowercase							= copy(lowerCAmelCase__  )

           # Hack because type=bool in argparse does not behave as we want.
           _lowercase							= string_to_bool
           if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
             # Default value is False if we have no default when of type bool.
             _lowercase							= False if field.default is dataclasses.MISSING else field.default
             # This is the value that will get picked if we don't include --field_name in any way
             _lowercase							= default
             # This tells argparse we accept 0 or 1 value after --field_name
             _lowercase							= "?"
             # This is the value that will get picked if we do --field_name (without value)
             _lowercase							= True
         elif isclass(lowerCAmelCase__  ) and issubclass(lowerCAmelCase__						,lowerCAmelCase__  ):
           _lowercase							= field.type.__args__[0]
           _lowercase							= "+"
           if field.default_factory is not dataclasses.MISSING:
             _lowercase							= field.default_factory()
           elif field.default is dataclasses.MISSING:
             _lowercase							= True
         else:
           _lowercase							= field.type
           if field.default is not dataclasses.MISSING:
             _lowercase							= field.default
           elif field.default_factory is not dataclasses.MISSING:
             _lowercase							= field.default_factory()
           else:
             _lowercase							= True
         parser.add_argument(lowerCAmelCase__						,*lowerCAmelCase__						,**lowerCAmelCase__  )

         # Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
         # Order is important for arguments with the same destination!
         # We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
         # here and we do not need those changes/additional keys.
         if field.default is True and (field.type is bool or field.type == Optional[bool]):
           _lowercase							= False
           parser.add_argument(F"""--no_{field.name}"""						,action='store_false'						,dest=field.name						,**lowerCAmelCase__  )







       def    __UpperCAmelCase (    self	:	str						,__A	:	Tuple  )						->					List[str]:
         if hasattr(lowerCAmelCase__						,'_argument_group_name'  ):
           _lowercase							= self.add_argument_group(dtype._argument_group_name  )
         else:
           _lowercase							= self

         try:
           _lowercase							= get_type_hints(lowerCAmelCase__  )
         except NameError:
           raise RuntimeError(
               F"""Type resolution failed for {dtype}. Try declaring the class in global scope or """
               'removing line of `from __future__ import annotations` which opts in Postponed '
               'Evaluation of Annotations (PEP 563)'  )
         except TypeError as ex:
           # Remove this block when we drop Python 3.9 support
           if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(lowerCAmelCase__  ):
             _lowercase							= ".".join(map(lowerCAmelCase__						,sys.version_info[:3]  )  )
             raise RuntimeError(
                 F"""Type resolution failed for {dtype} on Python {python_version}. Try removing """
                 'line of `from __future__ import annotations` which opts in union types as '
                 '`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To '
                 'support Python versions that lower than 3.10, you need to use '
                 '`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of '
                 '`X | None`.'  ) from ex
           raise

         for field in dataclasses.fields(lowerCAmelCase__  ):
           if not field.init:
             continue
           _lowercase							= type_hints[field.name]
           self._parse_dataclass_field(lowerCAmelCase__						,lowerCAmelCase__  )







       def    __UpperCAmelCase (    self	:	Dict						,__A	:	int=None						,__A	:	Union[str, Any]=False						,__A	:	List[Any]=True						,__A	:	int=None						,__A	:	Any=None						,)						->					Tuple[DataClass, ...]:

         if args_file_flag or args_filename or (look_for_args_file and len(sys.argv  )):
           _lowercase							= []

           if args_filename:
             args_files.append(Path(lowerCAmelCase__  )  )
           elif look_for_args_file and len(sys.argv  ):
             args_files.append(Path(sys.argv[0]  ).with_suffix('.args'  )  )

           # args files specified via command line flag should overwrite default args files so we add them last
           if args_file_flag:
             # Create special parser just to extract the args_file_flag values
             _lowercase							= ArgumentParser()
             args_file_parser.add_argument(lowerCAmelCase__						,type=lowerCAmelCase__						,action='append'  )

             # Use only remaining args for further parsing (remove the args_file_flag)
             _lowercase							= args_file_parser.parse_known_args(args=lowerCAmelCase__  )
             _lowercase							= vars(lowerCAmelCase__  ).get(args_file_flag.lstrip('-'  )						,lowerCAmelCase__  )

             if cmd_args_file_paths:
               args_files.extend([Path(lowerCAmelCase__  ) for p in cmd_args_file_paths]  )

           _lowercase							= []
           for args_file in args_files:
             if args_file.exists():
               file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
           _lowercase							= file_args + args if args is not None else file_args + sys.argv[1:]
         _lowercase							= self.parse_known_args(args=lowerCAmelCase__  )
         _lowercase							= []
         for dtype in self.dataclass_types:
           _lowercase							= {f.name for f in dataclasses.fields(lowerCAmelCase__  ) if f.init}
           _lowercase							= {k: v for k, v in vars(lowerCAmelCase__  ).items() if k in keys}
           for k in keys:
             delattr(lowerCAmelCase__						,lowerCAmelCase__  )
           _lowercase							= dtype(**lowerCAmelCase__  )
           outputs.append(lowerCAmelCase__  )
         if len(namespace.__dict__  ) > 0:
           # additional namespace.
           outputs.append(lowerCAmelCase__  )
         if return_remaining_strings:
           return (*outputs, remaining_args)
         else:
           if remaining_args:
             raise ValueError(F"""Some specified arguments are not used by the HfArgumentParser: {remaining_args}"""  )

           return (*outputs,)







       def    __UpperCAmelCase (    self	:	Union[str, Any]						,__A	:	Optional[int]						,__A	:	List[str] = False  )						->					Tuple[DataClass, ...]:
         _lowercase							= set(args.keys()  )
         _lowercase							= []
         for dtype in self.dataclass_types:
           _lowercase							= {f.name for f in dataclasses.fields(lowerCAmelCase__  ) if f.init}
           _lowercase							= {k: v for k, v in args.items() if k in keys}
           unused_keys.difference_update(inputs.keys()  )
           _lowercase							= dtype(**lowerCAmelCase__  )
           outputs.append(lowerCAmelCase__  )
         if not allow_extra_keys and unused_keys:
           raise ValueError(F"""Some keys are not used by the HfArgumentParser: {sorted(lowerCAmelCase__  )}"""  )
         return tuple(lowerCAmelCase__  )







       def    __UpperCAmelCase (    self	:	Union[str, Any]						,__A	:	Tuple						,__A	:	str = False  )						->					Tuple[DataClass, ...]:
         with open(Path(lowerCAmelCase__  )						,encoding='utf-8'  ) as open_json_file:
           _lowercase							= json.loads(open_json_file.read()  )
         _lowercase							= self.parse_dict(lowerCAmelCase__						,allow_extra_keys=lowerCAmelCase__  )
         return tuple(lowerCAmelCase__  )







       def    __UpperCAmelCase (    self	:	str						,__A	:	List[Any]						,__A	:	Dict = False  )						->					Tuple[DataClass, ...]:
         _lowercase							= self.parse_dict(yaml.safe_load(Path(lowerCAmelCase__  ).read_text()  )						,allow_extra_keys=lowerCAmelCase__  )
         return tuple(lowerCAmelCase__  )






import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


snake_case 				=       get_tests_dir("""fixtures/test_sentencepiece_no_bos.model""")





@require_sentencepiece
@require_tokenizers
class 				A_				(      UpperCAmelCase					,	unittest.TestCase	):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_      : int      =  PegasusTokenizer
       SCREAMING_SNAKE_CASE_      : Optional[int]      =  PegasusTokenizerFast
       SCREAMING_SNAKE_CASE_      : Any      =  True
       SCREAMING_SNAKE_CASE_      : Optional[int]      =  True







       def    __UpperCAmelCase (    self	:	List[str]  )						->					Any:
         super().setUp()

         # We have a SentencePiece fixture for testing
         _lowercase							= PegasusTokenizer(__A  )
         tokenizer.save_pretrained(self.tmpdirname  )







       @cached_property
       def    __UpperCAmelCase (    self	:	Optional[Any]  )						->					List[Any]:
         return PegasusTokenizer.from_pretrained('google/pegasus-large'  )







       def    __UpperCAmelCase (    self	:	Any						,**__A	:	int  )						->					PegasusTokenizer:
         return PegasusTokenizer.from_pretrained(self.tmpdirname						,**__A  )







       def    __UpperCAmelCase (    self	:	Union[str, Any]						,__A	:	int  )						->					List[str]:
         return ("This is a test", "This is a test")







       def    __UpperCAmelCase (    self	:	List[str]  )						->					Optional[Any]:
         _lowercase							= '</s>'
         _lowercase							= 1

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(__A  )						,__A  )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(__A  )						,__A  )







       def    __UpperCAmelCase (    self	:	List[Any]  )						->					Optional[Any]:
         _lowercase							= list(self.get_tokenizer().get_vocab().keys()  )

         self.assertEqual(vocab_keys[0]						,'<pad>'  )
         self.assertEqual(vocab_keys[1]						,'</s>'  )
         self.assertEqual(vocab_keys[-1]						,'v'  )
         self.assertEqual(len(__A  )						,1103  )







       def    __UpperCAmelCase (    self	:	Tuple  )						->					Any:
         self.assertEqual(self.get_tokenizer().vocab_size						,1103  )







       def    __UpperCAmelCase (    self	:	Optional[Any]  )						->					List[str]:
         _lowercase							= self.rust_tokenizer_class.from_pretrained(self.tmpdirname  )
         _lowercase							= self.tokenizer_class.from_pretrained(self.tmpdirname  )
         _lowercase							= (
             'Let\'s see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important'
             ' </s> <pad> <pad> <pad>'
         )
         _lowercase							= rust_tokenizer([raw_input_str]						,return_tensors=__A						,add_special_tokens=__A  ).input_ids[0]
         _lowercase							= py_tokenizer([raw_input_str]						,return_tensors=__A						,add_special_tokens=__A  ).input_ids[0]
         self.assertListEqual(__A						,__A  )







       def    __UpperCAmelCase (    self	:	Optional[int]  )						->					List[Any]:
         _lowercase							= self._large_tokenizer
         # <mask_1> masks whole sentence while <mask_2> masks single word
         _lowercase							= '<mask_1> To ensure a <mask_2> flow of bank resolutions.'
         _lowercase							= [2, 413, 615, 114, 3, 1971, 113, 1679, 1_0710, 107, 1]
         _lowercase							= tokenizer([raw_input_str]						,return_tensors=__A  ).input_ids[0]
         self.assertListEqual(__A						,__A  )







       def    __UpperCAmelCase (    self	:	int  )						->					Union[str, Any]:
         _lowercase							= self._large_tokenizer
         # The tracebacks for the following asserts are **better** without messages or self.assertEqual
         assert tokenizer.vocab_size == 9_6103
         assert tokenizer.pad_token_id == 0
         assert tokenizer.eos_token_id == 1
         assert tokenizer.offset == 103
         assert tokenizer.unk_token_id == tokenizer.offset + 2 == 105
         assert tokenizer.unk_token == "<unk>"
         assert tokenizer.model_max_length == 1024
         _lowercase							= 'To ensure a smooth flow of bank resolutions.'
         _lowercase							= [413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
         _lowercase							= tokenizer([raw_input_str]						,return_tensors=__A  ).input_ids[0]
         self.assertListEqual(__A						,__A  )
         assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]  ) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]







       @require_torch
       def    __UpperCAmelCase (    self	:	Optional[int]  )						->					List[str]:
         _lowercase							= ['This is going to be way too long.' * 150, 'short example']
         _lowercase							= ['not super long but more than 5 tokens', 'tiny']
         _lowercase							= self._large_tokenizer(__A						,padding=__A						,truncation=__A						,return_tensors='pt'  )
         _lowercase							= self._large_tokenizer(
             text_target=__A						,max_length=5						,padding=__A						,truncation=__A						,return_tensors='pt'  )

         assert batch.input_ids.shape == (2, 1024)
         assert batch.attention_mask.shape == (2, 1024)
         assert targets["input_ids"].shape == (2, 5)
         assert len(__A  ) == 2  # input_ids, attention_mask.







       @slow
       def    __UpperCAmelCase (    self	:	Dict  )						->					Optional[int]:
         # fmt: off
         _lowercase							= {'input_ids': [[3_8979, 143, 1_8485, 606, 130, 2_6669, 8_7686, 121, 5_4189, 1129, 111, 2_6669, 8_7686, 121, 9114, 1_4787, 121, 1_3249, 158, 592, 956, 121, 1_4621, 3_1576, 143, 6_2613, 108, 9688, 930, 4_3430, 1_1562, 6_2613, 304, 108, 1_1443, 897, 108, 9314, 1_7415, 6_3399, 108, 1_1443, 7614, 1_8316, 118, 4284, 7148, 1_2430, 143, 1400, 2_5703, 158, 111, 4284, 7148, 1_1772, 143, 2_1297, 1064, 158, 122, 204, 3506, 1754, 1133, 1_4787, 1581, 115, 3_3224, 4482, 111, 1355, 110, 2_9173, 317, 5_0833, 108, 2_0147, 9_4665, 111, 7_7198, 107, 1], [110, 6_2613, 117, 638, 112, 1133, 121, 2_0098, 1355, 7_9050, 1_3872, 135, 1596, 5_3541, 1352, 141, 1_3039, 5542, 124, 302, 518, 111, 268, 2956, 115, 149, 4427, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [139, 1235, 2799, 1_8289, 1_7780, 204, 109, 9474, 1296, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
         # fmt: on

         self.tokenizer_integration_test_util(
             expected_encoding=__A						,model_name='google/bigbird-pegasus-large-arxiv'						,revision='ba85d0851d708441f91440d509690f1ab6353415'						,)





@require_sentencepiece
@require_tokenizers
class 				A_				(      UpperCAmelCase					,	unittest.TestCase	):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_      : int      =  PegasusTokenizer
       SCREAMING_SNAKE_CASE_      : int      =  PegasusTokenizerFast
       SCREAMING_SNAKE_CASE_      : str      =  True
       SCREAMING_SNAKE_CASE_      : List[Any]      =  True







       def    __UpperCAmelCase (    self	:	List[str]  )						->					Optional[int]:
         super().setUp()

         # We have a SentencePiece fixture for testing
         _lowercase							= PegasusTokenizer(__A						,offset=0						,mask_token_sent=__A						,mask_token='[MASK]'  )
         tokenizer.save_pretrained(self.tmpdirname  )







       @cached_property
       def    __UpperCAmelCase (    self	:	str  )						->					Optional[Any]:
         return PegasusTokenizer.from_pretrained('google/bigbird-pegasus-large-arxiv'  )







       def    __UpperCAmelCase (    self	:	Union[str, Any]						,**__A	:	Union[str, Any]  )						->					PegasusTokenizer:
         return PegasusTokenizer.from_pretrained(self.tmpdirname						,**__A  )







       def    __UpperCAmelCase (    self	:	Union[str, Any]						,__A	:	int  )						->					Tuple:
         return ("This is a test", "This is a test")







       def    __UpperCAmelCase (    self	:	List[Any]  )						->					Dict:
         _lowercase							= self.rust_tokenizer_class.from_pretrained(self.tmpdirname  )
         _lowercase							= self.tokenizer_class.from_pretrained(self.tmpdirname  )
         _lowercase							= (
             'Let\'s see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>'
             ' <pad> <pad> <pad>'
         )
         _lowercase							= rust_tokenizer([raw_input_str]						,return_tensors=__A						,add_special_tokens=__A  ).input_ids[0]
         _lowercase							= py_tokenizer([raw_input_str]						,return_tensors=__A						,add_special_tokens=__A  ).input_ids[0]
         self.assertListEqual(__A						,__A  )







       @require_torch
       def    __UpperCAmelCase (    self	:	List[str]  )						->					Dict:
         _lowercase							= ['This is going to be way too long.' * 1000, 'short example']
         _lowercase							= ['not super long but more than 5 tokens', 'tiny']
         _lowercase							= self._large_tokenizer(__A						,padding=__A						,truncation=__A						,return_tensors='pt'  )
         _lowercase							= self._large_tokenizer(
             text_target=__A						,max_length=5						,padding=__A						,truncation=__A						,return_tensors='pt'  )

         assert batch.input_ids.shape == (2, 4096)
         assert batch.attention_mask.shape == (2, 4096)
         assert targets["input_ids"].shape == (2, 5)
         assert len(__A  ) == 2  # input_ids, attention_mask.







       def    __UpperCAmelCase (    self	:	Union[str, Any]  )						->					int:
         _lowercase							= (
             'This is an example string that is used to test the original TF implementation against the HF'
             ' implementation'
         )

         _lowercase							= self._large_tokenizer(__A  ).input_ids

         self.assertListEqual(
             __A						,[182, 117, 142, 587, 4211, 120, 117, 263, 112, 804, 109, 856, 2_5016, 3137, 464, 109, 2_6955, 3137, 1]						,)