




from typing import Optional, Union

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

class 		lowercase_       (	lowerCAmelCase__				):
					__UpperCamelCase     	= "MarkupLMFeatureExtractor"
					__UpperCamelCase     	= ("MarkupLMTokenizer", "MarkupLMTokenizerFast")
					__UpperCamelCase     	= True




					def __call__(   self:		Optional[Any],     _lowercase:		Dict=None,     _lowercase:		Tuple=None,     _lowercase:		str=None,     _lowercase:		str=None,     _lowercase:		Tuple=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:		str,     ):


									'''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`""")

													__lowerCAmelCase					=  self.feature_extractor(_lowercase)
													__lowerCAmelCase					=  features["""nodes"""]
													__lowerCAmelCase					=  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(_lowercase,     _lowercase):
																	__lowerCAmelCase					=  [questions]  # add batch dimension (as the feature extractor always adds a batch dimension)

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

									return encoded_inputs




					def     _lowercase						(   self:		Optional[Any],     *_lowercase:		str,     **_lowercase:		Dict):


									'''simple docstring'''


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




					def     _lowercase						(   self:		Dict,     *_lowercase:		Tuple,     **_lowercase:		Optional[int]):


									'''simple docstring'''


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







					@property
					def     _lowercase						(   self:		str):


									'''simple docstring'''


									__lowerCAmelCase					=  self.tokenizer.model_input_names
									return tokenizer_input_names











from hashlib import mda, shaaaa

__A						:		Optional[int]          =						(shaaaa, mda)

class 		lowercase_       :




					def __init__(   self:		str,     _lowercase:		int = 8):


									'''simple docstring'''


									__lowerCAmelCase					=  0b0
									__lowerCAmelCase					=  size




					def     _lowercase						(   self:		Union[str, Any],     _lowercase:		str):


									'''simple docstring'''


									__lowerCAmelCase					=  self.hash_(_lowercase)
									self.bitarray |= h




					def     _lowercase						(   self:		Dict,     _lowercase:		str):


									'''simple docstring'''


									__lowerCAmelCase					=  self.hash_(_lowercase)
									return (h & self.bitarray) == h




					def __contains__(   self:		Dict,     _lowercase:		str):


									'''simple docstring'''


									return self.exists(_lowercase)




					def     _lowercase						(   self:		List[Any],     _lowercase:		int):


									'''simple docstring'''


									__lowerCAmelCase					=  bin(_lowercase)[2:]
									return res.zfill(self.size)




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


									'''simple docstring'''


									return self.format_bin(self.bitarray)




					def     _lowercase						(   self:		Union[str, Any],     _lowercase:		str):


									'''simple docstring'''


									__lowerCAmelCase					=  0b0
									for func in HASH_FUNCTIONS:
													__lowerCAmelCase					=  (
													    int.from_bytes(func(value.encode()).digest(),     """little""") % self.size
													)
													res |= 2**position
									return res




					def     _lowercase						(   self:		Any,     _lowercase:		str):


									'''simple docstring'''


									return self.format_bin(self.hash_(_lowercase))







					@property
					def     _lowercase						(   self:		Tuple):


									'''simple docstring'''


									__lowerCAmelCase					=  bin(self.bitarray).count("""1""")
									return (n_ones / self.size) ** len(_lowercase)





