


import json
import os
from typing import Optional, Tuple

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


__snake_case   							=						logging.get_logger(__name__)

__snake_case   							=						{'''vocab_file''': '''vocab.json'''}

__snake_case   							=						{
    '''vocab_file''': {
        '''mgp-str''': '''https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json''',
    }
}

__snake_case   							=						{'''mgp-str''': 2_7}



class 	__lowerCamelCase			(_a						):
       _lowercase											=     VOCAB_FILES_NAMES
       _lowercase											=     PRETRAINED_VOCAB_FILES_MAP
       _lowercase											=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







       def __init__(			self: Any,A_: Union[str, Any],A_: int="[GO]",A_: List[Any]="[GO]",A_: Tuple="[s]",A_: Dict="[GO]",**A_: Union[str, Any]					):






            '''simple docstring'''




            super().__init__(
                unk_token=A_,bos_token=A_,eos_token=A_,pad_token=A_,**A_,)

            with open(A_,encoding='utf-8'					) as vocab_handle:
                 __UpperCamelCase =			json.load(A_					)
            __UpperCamelCase =			{v: k for k, v in self.vocab.items()}







       @property
       def 		snake_case_	(			self: Union[str, Any]					):






            '''simple docstring'''




            return len(self.vocab					)







       def 		snake_case_	(			self: Any					):






            '''simple docstring'''




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







       def 		snake_case_	(			self: Union[str, Any],A_: List[Any]					):






            '''simple docstring'''




            __UpperCamelCase =			[]
            for s in text:
                 char_tokens.extend(A_					)
            return char_tokens







       def 		snake_case_	(			self: Dict,A_: str					):






            '''simple docstring'''




            return self.vocab.get(A_,self.vocab.get(self.unk_token					)					)







       def 		snake_case_	(			self: str,A_: str					):






            '''simple docstring'''




            return self.decoder.get(A_					)







       def 		snake_case_	(			self: str,A_: str,A_: Optional[str] = None					):






            '''simple docstring'''




            if not os.path.isdir(A_					):
                 logger.error('Vocabulary path ({}) should be a directory'.format(A_					)					)
                 return
            __UpperCamelCase =			os.path.join(
                A_,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)

            with open(A_,'w',encoding='utf-8'					) as f:
                 f.write(json.dumps(self.vocab,indent=2,sort_keys=A_,ensure_ascii=A_					) + '\n'					)

            return (vocab_file,)






import pytest

import datasets


# Import fixture modules as plugins
__snake_case   							=						['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']






def 		_A		(		_lowercase					,  _lowercase )					-> Tuple:


     """simple docstring"""


     for item in items:
          if any(marker in item.keywords for marker in ['integration', 'unit'] ):
               continue
          item.add_marker(pytest.mark.unit )






def 		_A		(		_lowercase )					-> str:


     """simple docstring"""


     config.addinivalue_line('markers'					,  'torchaudio_latest: mark test to run with torchaudio>=0.12' )






@pytest.fixture(autouse=_lowercase )
def 		_A		(		_lowercase					,  _lowercase )					-> Any:


     """simple docstring"""


     __UpperCamelCase =			tmp_path_factory.getbasetemp() / 'cache'
     __UpperCamelCase =			test_hf_cache_home / 'datasets'
     __UpperCamelCase =			test_hf_cache_home / 'metrics'
     __UpperCamelCase =			test_hf_cache_home / 'modules'
     monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE'					,  str(_lowercase ) )
     monkeypatch.setattr('datasets.config.HF_METRICS_CACHE'					,  str(_lowercase ) )
     monkeypatch.setattr('datasets.config.HF_MODULES_CACHE'					,  str(_lowercase ) )
     __UpperCamelCase =			test_hf_datasets_cache / 'downloads'
     monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH'					,  str(_lowercase ) )
     __UpperCamelCase =			test_hf_datasets_cache / 'downloads' / 'extracted'
     monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'					,  str(_lowercase ) )






@pytest.fixture(autouse=_lowercase					,  scope='session' )
def 		_A		(		)					-> Dict:


     """simple docstring"""


     datasets.disable_progress_bar()






@pytest.fixture(autouse=_lowercase )
def 		_A		(		_lowercase )					-> Tuple:


     """simple docstring"""


     monkeypatch.setattr('datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'					,  _lowercase )






@pytest.fixture
def 		_A		(		_lowercase )					-> Any:


     """simple docstring"""


     monkeypatch.setattr('sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'					,  _lowercase )


