




'''simple docstring'''


import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_snake_case   :   Optional[int]     							=	logging.get_logger(__name__)

_snake_case   :   int     							=	{
    'vocab_file': 'vocab.txt',
    'merges_file': 'bpe.codes',
}

_snake_case   :   List[str]     							=	{
    'vocab_file': {
        'vinai/phobert-base': 'https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt',
        'vinai/phobert-large': 'https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt',
    },
    'merges_file': {
        'vinai/phobert-base': 'https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes',
        'vinai/phobert-large': 'https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes',
    },
}

_snake_case   :   List[str]     							=	{
    'vinai/phobert-base': 256,
    'vinai/phobert-large': 256,
}
def 	snake_case_					(UpperCamelCase :						Optional[int]   ):





       '''simple docstring'''


       _a			  =       set()
       _a			  =       word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)   )
              _a			  =       char

       _a			  =       set(lowerCamelCase_   )
       return pairs

class     A					(	lowerCAmelCase__					):
       lowercase_           =       VOCAB_FILES_NAMES
       lowercase_           =       PRETRAINED_VOCAB_FILES_MAP
       lowercase_           =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







       def __init__(						self :						Optional[Any]							,    lowerCAmelCase_ :						Dict							,    lowerCAmelCase_ :						Union[str, Any]							,    lowerCAmelCase_ :						List[str]="<s>"							,    lowerCAmelCase_ :						str="</s>"							,    lowerCAmelCase_ :						Union[str, Any]="</s>"							,    lowerCAmelCase_ :						int="<s>"							,    lowerCAmelCase_ :						Optional[Any]="<unk>"							,    lowerCAmelCase_ :						Tuple="<pad>"							,    lowerCAmelCase_ :						int="<mask>"							,    **lowerCAmelCase_ :						Optional[Any]							,    )    ->							Optional[int]:


              """simple docstring"""


              super().__init__(
                  bos_token=_lowerCamelCase							,    eos_token=_lowerCamelCase							,    unk_token=_lowerCamelCase							,    sep_token=_lowerCamelCase							,    cls_token=_lowerCamelCase							,    pad_token=_lowerCamelCase							,    mask_token=_lowerCamelCase							,    **_lowerCamelCase							,    )

              _a			  =       vocab_file
              _a			  =       merges_file

              _a			  =       {}
              _a			  =       0
              _a			  =       1
              _a			  =       2
              _a			  =       3

              self.add_from_file(_lowerCamelCase      )

              _a			  =       {v: k for k, v in self.encoder.items()}

              with open(_lowerCamelCase							,    encoding='''utf-8'''      ) as merges_handle:
                     _a			  =       merges_handle.read().split('''\n'''      )[:-1]
              _a			  =       [tuple(merge.split()[:-1]      ) for merge in merges]
              _a			  =       dict(zip(_lowerCamelCase							,    range(len(_lowerCamelCase      )      )      )      )
              _a			  =       {}







       def      __lowerCAmelCase    (						self :						List[str]							,    lowerCAmelCase_ :						Union[str, Any]							,    lowerCAmelCase_ :						List[str] = None      )    ->							List[int]:


              """simple docstring"""


              if token_ids_a is None:
                     return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
              _a			  =       [self.cls_token_id]
              _a			  =       [self.sep_token_id]
              return cls + token_ids_a + sep + sep + token_ids_a + sep







       def      __lowerCAmelCase    (						self :						Any							,    lowerCAmelCase_ :						Union[str, Any]							,    lowerCAmelCase_ :						List[Any] = None							,    lowerCAmelCase_ :						Union[str, Any] = False      )    ->							List[int]:


              """simple docstring"""


              if already_has_special_tokens:
                     return super().get_special_tokens_mask(
                         token_ids_a=_lowerCamelCase							,    token_ids_a=_lowerCamelCase							,    already_has_special_tokens=_lowerCamelCase      )

              if token_ids_a is None:
                     return [1] + ([0] * len(_lowerCamelCase      )) + [1]
              return [1] + ([0] * len(_lowerCamelCase      )) + [1, 1] + ([0] * len(_lowerCamelCase      )) + [1]







       def      __lowerCAmelCase    (						self :						List[str]							,    lowerCAmelCase_ :						Union[str, Any]							,    lowerCAmelCase_ :						Optional[Any] = None      )    ->							List[int]:


              """simple docstring"""


              _a			  =       [self.sep_token_id]
              _a			  =       [self.cls_token_id]

              if token_ids_a is None:
                     return len(cls + token_ids_a + sep      ) * [0]
              return len(cls + token_ids_a + sep + sep + token_ids_a + sep      ) * [0]







       @property
       def      __lowerCAmelCase    (						self :						str      )    ->							List[str]:


              """simple docstring"""


              return len(self.encoder      )







       def      __lowerCAmelCase    (						self :						int      )    ->							Dict:


              """simple docstring"""


              return dict(self.encoder							,    **self.added_tokens_encoder      )







       def      __lowerCAmelCase    (						self :						str							,    lowerCAmelCase_ :						Any      )    ->							List[str]:


              """simple docstring"""


              if token in self.cache:
                     return self.cache[token]
              _a			  =       tuple(_lowerCamelCase      )
              _a			  =       tuple(list(word[:-1]      ) + [word[-1] + '''</w>''']      )
              _a			  =       get_pairs(_lowerCamelCase      )

              if not pairs:
                     return token

              while True:
                     _a			  =       min(_lowerCamelCase							,    key=lambda lowerCAmelCase_      : self.bpe_ranks.get(_lowerCamelCase							,    float('''inf'''      )      )      )
                     if bigram not in self.bpe_ranks:
                            break
                     _a  ,							_a			  =       bigram
                     _a			  =       []
                     _a			  =       0
                     while i < len(_lowerCamelCase      ):
                            try:
                                   _a			  =       word.index(_lowerCamelCase							,    _lowerCamelCase      )
                            except ValueError:
                                   new_word.extend(word[i:]      )
                                   break
                            else:
                                   new_word.extend(word[i:j]      )
                                   _a			  =       j

                            if word[i] == first and i < len(_lowerCamelCase      ) - 1 and word[i + 1] == second:
                                   new_word.append(first + second      )
                                   i += 2
                            else:
                                   new_word.append(word[i]      )
                                   i += 1
                     _a			  =       tuple(_lowerCamelCase      )
                     _a			  =       new_word
                     if len(_lowerCamelCase      ) == 1:
                            break
                     else:
                            _a			  =       get_pairs(_lowerCamelCase      )
              _a			  =       '''@@ '''.join(_lowerCamelCase      )
              _a			  =       word[:-4]
              _a			  =       word
              return word







       def      __lowerCAmelCase    (						self :						Union[str, Any]							,    lowerCAmelCase_ :						List[str]      )    ->							Union[str, Any]:


              """simple docstring"""


              _a			  =       []

              _a			  =       re.findall(R'''\S+\n?'''							,    _lowerCamelCase      )

              for token in words:
                     split_tokens.extend(list(self.bpe(_lowerCamelCase      ).split(''' '''      )      )      )
              return split_tokens







       def      __lowerCAmelCase    (						self :						Dict							,    lowerCAmelCase_ :						int      )    ->							Dict:


              """simple docstring"""


              return self.encoder.get(_lowerCamelCase							,    self.encoder.get(self.unk_token      )      )







       def      __lowerCAmelCase    (						self :						Union[str, Any]							,    lowerCAmelCase_ :						Tuple      )    ->							str:


              """simple docstring"""


              return self.decoder.get(_lowerCamelCase							,    self.unk_token      )







       def      __lowerCAmelCase    (						self :						Optional[Any]							,    lowerCAmelCase_ :						Optional[int]      )    ->							int:


              """simple docstring"""


              _a			  =       ''' '''.join(_lowerCamelCase      ).replace('''@@ '''							,    ''''''      ).strip()
              return out_string







       def      __lowerCAmelCase    (						self :						int							,    lowerCAmelCase_ :						Union[str, Any]							,    lowerCAmelCase_ :						Dict = None      )    ->							Tuple[str]:


              """simple docstring"""


              if not os.path.isdir(_lowerCamelCase      ):
                     logger.error(F'Vocabulary path ({save_directory}) should be a directory'      )
                     return
              _a			  =       os.path.join(
                  _lowerCamelCase							,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
              _a			  =       os.path.join(
                  _lowerCamelCase							,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']      )

              if os.path.abspath(self.vocab_file      ) != os.path.abspath(_lowerCamelCase      ):
                     copyfile(self.vocab_file							,    _lowerCamelCase      )

              if os.path.abspath(self.merges_file      ) != os.path.abspath(_lowerCamelCase      ):
                     copyfile(self.merges_file							,    _lowerCamelCase      )

              return out_vocab_file, out_merge_file







       def      __lowerCAmelCase    (						self :						str							,    lowerCAmelCase_ :						List[Any]      )    ->							Tuple:


              """simple docstring"""


              if isinstance(_lowerCamelCase							,    _lowerCamelCase      ):
                     try:
                            with open(_lowerCamelCase							,    '''r'''							,    encoding='''utf-8'''      ) as fd:
                                   self.add_from_file(_lowerCamelCase      )
                     except FileNotFoundError as fnfe:
                            raise fnfe
                     except UnicodeError:
                            raise Exception(F'Incorrect encoding detected in {f}, please rebuild the dataset'      )
                     return

              _a			  =       f.readlines()
              for lineTmp in lines:
                     _a			  =       lineTmp.strip()
                     _a			  =       line.rfind(''' '''      )
                     if idx == -1:
                            raise ValueError('''Incorrect dictionary format, expected \'<token> <cnt>\''''      )
                     _a			  =       line[:idx]
                     _a			  =       len(self.encoder      )







'''simple docstring'''


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   :   Tuple     							=	get_tests_dir('fixtures/test_sentencepiece_no_bos.model')

@require_sentencepiece
@require_tokenizers
class     A					(	_a  ,unittest.TestCase					):
							lowercase_           =       PegasusTokenizer
							lowercase_           =       PegasusTokenizerFast
							lowercase_           =       True
							lowercase_           =       True







							def      __lowerCAmelCase    (						self :						str      )    ->							Any:


														"""simple docstring"""


														super().setUp()

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







							@cached_property
							def      __lowerCAmelCase    (						self :						Any      )    ->							Optional[int]:


														"""simple docstring"""


														return PegasusTokenizer.from_pretrained('''google/pegasus-large'''      )







							def      __lowerCAmelCase    (						self :						Optional[int]							,    **lowerCAmelCase_ :						List[str]      )    ->							PegasusTokenizer:


														"""simple docstring"""


														return PegasusTokenizer.from_pretrained(self.tmpdirname							,    **lowerCAmelCase_      )







							def      __lowerCAmelCase    (						self :						Optional[Any]							,    lowerCAmelCase_ :						List[str]      )    ->							Any:


														"""simple docstring"""


														return ("This is a test", "This is a test")







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


														"""simple docstring"""


														_a			  =       '''</s>'''
														_a			  =       1

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







							def      __lowerCAmelCase    (						self :						Tuple      )    ->							List[str]:


														"""simple docstring"""


														_a			  =       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(lowerCAmelCase_      )							,    11_03      )







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


														"""simple docstring"""


														self.assertEqual(self.get_tokenizer().vocab_size							,    11_03      )







							def      __lowerCAmelCase    (						self :						Tuple      )    ->							str:


														"""simple docstring"""


														_a			  =       self.rust_tokenizer_class.from_pretrained(self.tmpdirname      )
														_a			  =       self.tokenizer_class.from_pretrained(self.tmpdirname      )
														_a			  =       (
														    '''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>'''
														)
														_a			  =       rust_tokenizer([raw_input_str]							,    return_tensors=lowerCAmelCase_							,    add_special_tokens=lowerCAmelCase_      ).input_ids[0]
														_a			  =       py_tokenizer([raw_input_str]							,    return_tensors=lowerCAmelCase_							,    add_special_tokens=lowerCAmelCase_      ).input_ids[0]
														self.assertListEqual(lowerCAmelCase_							,    lowerCAmelCase_      )







							def      __lowerCAmelCase    (						self :						Optional[Any]      )    ->							List[str]:


														"""simple docstring"""


														_a			  =       self._large_tokenizer
														# <mask_1> masks whole sentence while <mask_2> masks single word
														_a			  =       '''<mask_1> To ensure a <mask_2> flow of bank resolutions.'''
														_a			  =       [2, 4_13, 6_15, 1_14, 3, 19_71, 1_13, 16_79, 1_07_10, 1_07, 1]
														_a			  =       tokenizer([raw_input_str]							,    return_tensors=lowerCAmelCase_      ).input_ids[0]
														self.assertListEqual(lowerCAmelCase_							,    lowerCAmelCase_      )







							def      __lowerCAmelCase    (						self :						Dict      )    ->							Dict:


														"""simple docstring"""


														_a			  =       self._large_tokenizer
														# The tracebacks for the following asserts are **better** without messages or self.assertEqual
														assert tokenizer.vocab_size == 9_61_03
														assert tokenizer.pad_token_id == 0
														assert tokenizer.eos_token_id == 1
														assert tokenizer.offset == 1_03
														assert tokenizer.unk_token_id == tokenizer.offset + 2 == 1_05
														assert tokenizer.unk_token == "<unk>"
														assert tokenizer.model_max_length == 10_24
														_a			  =       '''To ensure a smooth flow of bank resolutions.'''
														_a			  =       [4_13, 6_15, 1_14, 22_91, 19_71, 1_13, 16_79, 1_07_10, 1_07, 1]
														_a			  =       tokenizer([raw_input_str]							,    return_tensors=lowerCAmelCase_      ).input_ids[0]
														self.assertListEqual(lowerCAmelCase_							,    lowerCAmelCase_      )
														assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]      ) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]







							@require_torch
							def      __lowerCAmelCase    (						self :						Tuple      )    ->							Union[str, Any]:


														"""simple docstring"""


														_a			  =       ['''This is going to be way too long.''' * 1_50, '''short example''']
														_a			  =       ['''not super long but more than 5 tokens''', '''tiny''']
														_a			  =       self._large_tokenizer(lowerCAmelCase_							,    padding=lowerCAmelCase_							,    truncation=lowerCAmelCase_							,    return_tensors='''pt'''      )
														_a			  =       self._large_tokenizer(
														    text_target=lowerCAmelCase_							,    max_length=5							,    padding=lowerCAmelCase_							,    truncation=lowerCAmelCase_							,    return_tensors='''pt'''      )

														assert batch.input_ids.shape == (2, 10_24)
														assert batch.attention_mask.shape == (2, 10_24)
														assert targets["input_ids"].shape == (2, 5)
														assert len(lowerCAmelCase_      ) == 2  # input_ids, attention_mask.







							@slow
							def      __lowerCAmelCase    (						self :						List[Any]      )    ->							int:


														"""simple docstring"""


														_a			  =       {'''input_ids''': [[3_89_79, 1_43, 1_84_85, 6_06, 1_30, 2_66_69, 8_76_86, 1_21, 5_41_89, 11_29, 1_11, 2_66_69, 8_76_86, 1_21, 91_14, 1_47_87, 1_21, 1_32_49, 1_58, 5_92, 9_56, 1_21, 1_46_21, 3_15_76, 1_43, 6_26_13, 1_08, 96_88, 9_30, 4_34_30, 1_15_62, 6_26_13, 3_04, 1_08, 1_14_43, 8_97, 1_08, 93_14, 1_74_15, 6_33_99, 1_08, 1_14_43, 76_14, 1_83_16, 1_18, 42_84, 71_48, 1_24_30, 1_43, 14_00, 2_57_03, 1_58, 1_11, 42_84, 71_48, 1_17_72, 1_43, 2_12_97, 10_64, 1_58, 1_22, 2_04, 35_06, 17_54, 11_33, 1_47_87, 15_81, 1_15, 3_32_24, 44_82, 1_11, 13_55, 1_10, 2_91_73, 3_17, 5_08_33, 1_08, 2_01_47, 9_46_65, 1_11, 7_71_98, 1_07, 1], [1_10, 6_26_13, 1_17, 6_38, 1_12, 11_33, 1_21, 2_00_98, 13_55, 7_90_50, 1_38_72, 1_35, 15_96, 5_35_41, 13_52, 1_41, 1_30_39, 55_42, 1_24, 3_02, 5_18, 1_11, 2_68, 29_56, 1_15, 1_49, 44_27, 1_07, 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_39, 12_35, 27_99, 1_82_89, 1_77_80, 2_04, 1_09, 94_74, 12_96, 1_07, 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=lowerCAmelCase_							,    model_name='''google/bigbird-pegasus-large-arxiv'''							,    revision='''ba85d0851d708441f91440d509690f1ab6353415'''							,    )



@require_sentencepiece
@require_tokenizers
class     A					(	_a  ,unittest.TestCase					):
							lowercase_           =       PegasusTokenizer
							lowercase_           =       PegasusTokenizerFast
							lowercase_           =       True
							lowercase_           =       True







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


														"""simple docstring"""


														super().setUp()

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







							@cached_property
							def      __lowerCAmelCase    (						self :						Dict      )    ->							int:


														"""simple docstring"""


														return PegasusTokenizer.from_pretrained('''google/bigbird-pegasus-large-arxiv'''      )







							def      __lowerCAmelCase    (						self :						Optional[int]							,    **lowerCAmelCase_ :						Tuple      )    ->							PegasusTokenizer:


														"""simple docstring"""


														return PegasusTokenizer.from_pretrained(self.tmpdirname							,    **lowerCAmelCase_      )







							def      __lowerCAmelCase    (						self :						str							,    lowerCAmelCase_ :						Optional[int]      )    ->							Optional[Any]:


														"""simple docstring"""


														return ("This is a test", "This is a test")







							def      __lowerCAmelCase    (						self :						List[Any]      )    ->							str:


														"""simple docstring"""


														_a			  =       self.rust_tokenizer_class.from_pretrained(self.tmpdirname      )
														_a			  =       self.tokenizer_class.from_pretrained(self.tmpdirname      )
														_a			  =       (
														    '''Let\'s see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>'''
														    ''' <pad> <pad> <pad>'''
														)
														_a			  =       rust_tokenizer([raw_input_str]							,    return_tensors=lowerCAmelCase_							,    add_special_tokens=lowerCAmelCase_      ).input_ids[0]
														_a			  =       py_tokenizer([raw_input_str]							,    return_tensors=lowerCAmelCase_							,    add_special_tokens=lowerCAmelCase_      ).input_ids[0]
														self.assertListEqual(lowerCAmelCase_							,    lowerCAmelCase_      )







							@require_torch
							def      __lowerCAmelCase    (						self :						Optional[int]      )    ->							Tuple:


														"""simple docstring"""


														_a			  =       ['''This is going to be way too long.''' * 10_00, '''short example''']
														_a			  =       ['''not super long but more than 5 tokens''', '''tiny''']
														_a			  =       self._large_tokenizer(lowerCAmelCase_							,    padding=lowerCAmelCase_							,    truncation=lowerCAmelCase_							,    return_tensors='''pt'''      )
														_a			  =       self._large_tokenizer(
														    text_target=lowerCAmelCase_							,    max_length=5							,    padding=lowerCAmelCase_							,    truncation=lowerCAmelCase_							,    return_tensors='''pt'''      )

														assert batch.input_ids.shape == (2, 40_96)
														assert batch.attention_mask.shape == (2, 40_96)
														assert targets["input_ids"].shape == (2, 5)
														assert len(lowerCAmelCase_      ) == 2  # input_ids, attention_mask.







							def      __lowerCAmelCase    (						self :						List[str]      )    ->							Any:


														"""simple docstring"""


														_a			  =       (
														    '''This is an example string that is used to test the original TF implementation against the HF'''
														    ''' implementation'''
														)

														_a			  =       self._large_tokenizer(lowerCAmelCase_      ).input_ids

														self.assertListEqual(
														    lowerCAmelCase_							,    [1_82, 1_17, 1_42, 5_87, 42_11, 1_20, 1_17, 2_63, 1_12, 8_04, 1_09, 8_56, 2_50_16, 31_37, 4_64, 1_09, 2_69_55, 31_37, 1]							,    )

