

from typing import Optional, Union

from ...file_utils import TensorType
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, TruncationStrategy


class 					A		(				lowercase__					):







    """simple docstring"""





    lowerCamelCase						      =				'MarkupLMFeatureExtractor'
    lowerCamelCase						      =				('MarkupLMTokenizer', 'MarkupLMTokenizerFast')
    lowerCamelCase						      =				True


    def __call__( self					:			List[Any],lowercase_					:			Optional[int]=None,lowercase_					:			Tuple=None,lowercase_					:			Optional[Any]=None,lowercase_					:			Tuple=None,lowercase_					:			List[Any]=None,lowercase_					:			bool = True,lowercase_					:			Union[bool, str, PaddingStrategy] = False,lowercase_					:			Union[bool, str, TruncationStrategy] = None,lowercase_					:			Optional[int] = None,lowercase_					:			int = 0,lowercase_					:			Optional[int] = None,lowercase_					:			Optional[bool] = None,lowercase_					:			Optional[bool] = None,lowercase_					:			bool = False,lowercase_					:			bool = False,lowercase_					:			bool = False,lowercase_					:			bool = False,lowercase_					:			bool = True,lowercase_					:			Optional[Union[str, TensorType]] = None,**lowercase_					:			Optional[int],)->       BatchEncoding:





        '''simple docstring'''







        if self.parse_html:
            if html_strings is None:
                raise ValueError('Make sure to pass HTML strings in case `parse_html` is set to `True`'						)

            if nodes is not None or xpaths is not None or node_labels is not None:
                raise ValueError(
                    'Please don\'t pass nodes, xpaths nor node labels in case `parse_html` is set to `True`'						)

            A__        =  self.feature_extractor(__UpperCamelCase						)
            A__        =  features['''nodes''']
            A__        =  features['''xpaths''']
        else:
            if html_strings is not None:
                raise ValueError('You have passed HTML strings but `parse_html` is set to `False`.'						)
            if nodes is None or xpaths is None:
                raise ValueError('Make sure to pass nodes and xpaths in case `parse_html` is set to `False`'						)

        # # second, apply the tokenizer
        if questions is not None and self.parse_html:
            if isinstance(__UpperCamelCase,__UpperCamelCase						):
                A__        =  [questions]  # add batch dimension (as the feature extractor always adds a batch dimension)

        A__        =  self.tokenizer(
            text=questions if questions is not None else nodes,text_pair=nodes if questions is not None else None,xpaths=__UpperCamelCase,node_labels=__UpperCamelCase,add_special_tokens=__UpperCamelCase,padding=__UpperCamelCase,truncation=__UpperCamelCase,max_length=__UpperCamelCase,stride=__UpperCamelCase,pad_to_multiple_of=__UpperCamelCase,return_token_type_ids=__UpperCamelCase,return_attention_mask=__UpperCamelCase,return_overflowing_tokens=__UpperCamelCase,return_special_tokens_mask=__UpperCamelCase,return_offsets_mapping=__UpperCamelCase,return_length=__UpperCamelCase,verbose=__UpperCamelCase,return_tensors=__UpperCamelCase,**__UpperCamelCase,)

        return encoded_inputs


    def 		snake_case__	( self					:			int,*lowercase_					:			int,**lowercase_					:			str						)->       Union[str, Any]:





        '''simple docstring'''







        return self.tokenizer.batch_decode(*__UpperCamelCase,**__UpperCamelCase						)


    def 		snake_case__	( self					:			Tuple,*lowercase_					:			Union[str, Any],**lowercase_					:			int						)->       Optional[int]:





        '''simple docstring'''







        return self.tokenizer.decode(*__UpperCamelCase,**__UpperCamelCase						)


    @property
    def 		snake_case__	( self					:			Tuple						)->       str:





        '''simple docstring'''







        A__        =  self.tokenizer.model_input_names
        return tokenizer_input_names






'''simple docstring'''



import pytest

from datasets.utils.version import Version


@pytest.mark.parametrize(
    '''other, expected_equality'''   ,				[
        (Version('''1.0.0'''			), True),
        ('''1.0.0''', True),
        (Version('''2.0.0'''			), False),
        ('''2.0.0''', False),
        ('''1''', False),
        ('''a''', False),
        (1, False),
        (None, False),
    ]   ,				)
def 							__UpperCAmelCase				(				UpperCamelCase__				:Optional[int]   ,				UpperCamelCase__				:int			)		->						List[str]:
				snake_case__      :   Optional[int]      =    Version('''1.0.0'''			)
				assert (version == other) is expected_equality
				assert (version != other) is not expected_equality
				assert (hash(UpperCamelCase__			) == hash(UpperCamelCase__			)) is expected_equality




