'''simple docstring'''

from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


__a: int          =   logging.get_logger(__name__)

__a: Optional[Any]          =   {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

__a: Optional[Any]          =   {
    """vocab_file""": {
        """allegro/herbert-base-cased""": """https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """allegro/herbert-base-cased""": """https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt"""
    },
}

__a: Union[str, Any]          =   {"""allegro/herbert-base-cased""": 5_14}
__a: int          =   {}



class 			UpperCAmelCase  (						__snake_case					):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE							=    VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE							=    PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE							=    PRETRAINED_INIT_CONFIGURATION
       SCREAMING_SNAKE_CASE							=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE							=    HerbertTokenizer

       def __init__(						self	,   __lowerCAmelCase=None	,   __lowerCAmelCase=None	,   __lowerCAmelCase=None	,   __lowerCAmelCase="<s>"	,   __lowerCAmelCase="<unk>"	,   __lowerCAmelCase="<pad>"	,   __lowerCAmelCase="<mask>"	,   __lowerCAmelCase="</s>"	,   **__lowerCAmelCase	,   )  ->  Optional[int]:
        super().__init__(
            a_	,   a_	,   tokenizer_file=a_	,   cls_token=a_	,   unk_token=a_	,   pad_token=a_	,   mask_token=a_	,   sep_token=a_	,   **a_	,   )

       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None )  ->  Union[str, Any]:
        lowercase__				:    int  =					[self.cls_token_id]
        lowercase__				:    List[str]  =					[self.sep_token_id]
        if token_ids_a is None:
         return cls + token_ids_a + sep

        return cls + token_ids_a + sep + token_ids_a + sep

       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None	,   __lowerCAmelCase = False )  ->  str:

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

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

       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None )  ->  Any:
        lowercase__				:    List[str]  =					[self.sep_token_id]
        lowercase__				:    int  =					[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 ) * [0] + len(token_ids_a + sep ) * [1]


       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None )  ->  Union[str, Any]:
        lowercase__				:    Optional[int]  =					self._tokenizer.model.save(a_	,   name=a_ )
        return tuple(a_ )





"""simple docstring"""
import pytest

import datasets


# Import fixture modules as plugins
SCREAMING_SNAKE_CASE :    List[Any]									=				["""tests.fixtures.files""", """tests.fixtures.hub""", """tests.fixtures.fsspec"""]






def 		lowercase							(     _snake_case						:      Optional[int]     ,   _snake_case						:      Optional[int]     )     ->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 		lowercase							(     _snake_case						:      List[str]     )     ->Optional[int]:
	"""simple docstring"""





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






@pytest.fixture(autouse=_snake_case     )
def 		lowercase							(     _snake_case						:      Optional[Any]     ,   _snake_case						:      Dict     )     ->Any:
	"""simple docstring"""





	__snake_case	:						List[Any]						=				tmp_path_factory.getbasetemp() / '''cache'''
	__snake_case	:						int						=				test_hf_cache_home / '''datasets'''
	__snake_case	:						Tuple						=				test_hf_cache_home / '''metrics'''
	__snake_case	:						List[str]						=				test_hf_cache_home / '''modules'''
	monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE'''     ,   str(_snake_case     )     )
	monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE'''     ,   str(_snake_case     )     )
	monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE'''     ,   str(_snake_case     )     )
	__snake_case	:						Optional[int]						=				test_hf_datasets_cache / '''downloads'''
	monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH'''     ,   str(_snake_case     )     )
	__snake_case	:						Tuple						=				test_hf_datasets_cache / '''downloads''' / '''extracted'''
	monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''     ,   str(_snake_case     )     )






@pytest.fixture(autouse=_snake_case     ,   scope='''session'''     )
def 		lowercase							(     )     ->Any:
	"""simple docstring"""





	datasets.disable_progress_bar()






@pytest.fixture(autouse=_snake_case     )
def 		lowercase							(     _snake_case						:      Tuple     )     ->Union[str, Any]:
	"""simple docstring"""





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






@pytest.fixture
def 		lowercase							(     _snake_case						:      Any     )     ->Optional[Any]:
	"""simple docstring"""





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





