from typing import Optional, Union

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



class     snake_case_			(						__A			):
   __A      :						Any   =							"""MarkupLMFeatureExtractor"""
   __A      :						str   =							("""MarkupLMTokenizer""", """MarkupLMTokenizerFast""")
   __A      :						Dict   =							True






   def __call__( self							:	Union[str, Any]      ,		lowercase_							:	Any=None      ,		lowercase_							:	Optional[int]=None      ,		lowercase_							:	Any=None      ,		lowercase_							:	Dict=None      ,		lowercase_							:	List[Any]=None      ,		lowercase_							:	List[Any] = True      ,		lowercase_							:	List[Any] = False      ,		lowercase_							:	Optional[int] = None      ,		lowercase_							:	Any = None      ,		lowercase_							:	List[Any] = 0      ,		lowercase_							:	List[str] = None      ,		lowercase_							:	Optional[int] = None      ,		lowercase_							:	Union[str, Any] = None      ,		lowercase_							:	Tuple = False      ,		lowercase_							:	Dict = False      ,		lowercase_							:	Any = False      ,		lowercase_							:	Optional[int] = False      ,		lowercase_							:	List[str] = True      ,		lowercase_							:	str = None      ,		**lowercase_							:	str      ,		)   ->		Tuple:
       # first, create nodes and xpaths
       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`"    )

           lowercase__					:  Optional[Any]          =							self.feature_extractor(snake_case__    )
           lowercase__					:  List[Any]          =							features['nodes']
           lowercase__					:  List[str]          =							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(snake_case__      ,		snake_case__    ):
               lowercase__					:  Any          =							[questions]  # add batch dimension (as the feature extractor always adds a batch dimension)

       lowercase__					:  Optional[int]          =							self.tokenizer(
           text=questions if questions is not None else nodes      ,		text_pair=nodes if questions is not None else None      ,		xpaths=snake_case__      ,		node_labels=snake_case__      ,		add_special_tokens=snake_case__      ,		padding=snake_case__      ,		truncation=snake_case__      ,		max_length=snake_case__      ,		stride=snake_case__      ,		pad_to_multiple_of=snake_case__      ,		return_token_type_ids=snake_case__      ,		return_attention_mask=snake_case__      ,		return_overflowing_tokens=snake_case__      ,		return_special_tokens_mask=snake_case__      ,		return_offsets_mapping=snake_case__      ,		return_length=snake_case__      ,		verbose=snake_case__      ,		return_tensors=snake_case__      ,		**snake_case__      ,		)

       return encoded_inputs






   def  __UpperCamelCase	( self							:	Union[str, Any]      ,		*lowercase_							:	int      ,		**lowercase_							:	Optional[Any]    )   ->		Optional[int]:
       return self.tokenizer.batch_decode(*snake_case__      ,		**snake_case__    )






   def  __UpperCamelCase	( self							:	str      ,		*lowercase_							:	Optional[Any]      ,		**lowercase_							:	str    )   ->		Union[str, Any]:
       return self.tokenizer.decode(*snake_case__      ,		**snake_case__    )







   @property
   def  __UpperCamelCase	( self							:	Optional[int]    )   ->		str:
       lowercase__					:  str          =							self.tokenizer.model_input_names
       return tokenizer_input_names







'''simple docstring'''




from collections import OrderedDict
from dataclasses import fields
from typing import Any, Tuple

import numpy as np

from .import_utils import is_torch_available

def       __UpperCamelCase     (     _A     :					List[str]					)     ->   Any:




	"""simple docstring"""





	if is_torch_available():
		import torch

		if isinstance(_A       , torch.Tensor					):
			return True

	return isinstance(_A       , np.ndarray					)






class 			lowerCAmelCase					(					a				):



	def 					lowercase  (       self     ):
		lowerCAmelCase       :     List[str]   				=			fields(self     )

		# Safety and consistency checks
		if not len(snake_case__     ):
			raise ValueError(f"{self.__class__.__name__} has no fields."     )

		lowerCAmelCase       :     List[str]   				=			getattr(self			,       class_fields[0].name     )
		lowerCAmelCase       :     List[Any]   				=			all(getattr(self			,       field.name     ) is None for field in class_fields[1:]     )

		if other_fields_are_none and isinstance(snake_case__			,       snake_case__     ):
			for key, value in first_field.items():
				lowerCAmelCase       :     Optional[int]   				=			value
		else:
			for field in class_fields:
				lowerCAmelCase       :     str   				=			getattr(self			,       field.name     )
				if v is not None:
					lowerCAmelCase       :     Optional[Any]   				=			v



	def __delitem__(       self			,       *snake_case__			,       **snake_case__     ):
		raise Exception(f"You cannot use ``__delitem__`` on a {self.__class__.__name__} instance."     )



	def 					lowercase  (       self			,       *snake_case__			,       **snake_case__     ):
		raise Exception(f"You cannot use ``setdefault`` on a {self.__class__.__name__} instance."     )



	def 					lowercase  (       self			,       *snake_case__			,       **snake_case__     ):
		raise Exception(f"You cannot use ``pop`` on a {self.__class__.__name__} instance."     )



	def 					lowercase  (       self			,       *snake_case__			,       **snake_case__     ):
		raise Exception(f"You cannot use ``update`` on a {self.__class__.__name__} instance."     )



	def __getitem__(       self			,       snake_case__     ):
		if isinstance(snake_case__			,       snake_case__     ):
			lowerCAmelCase       :     Dict   				=			dict(self.items()     )
			return inner_dict[k]
		else:
			return self.to_tuple()[k]



	def __setattr__(       self			,       snake_case__			,       snake_case__     ):
		if name in self.keys() and value is not None:
			# Don't call self.__setitem__ to avoid recursion errors
			super().__setitem__(snake_case__			,       snake_case__     )
		super().__setattr__(snake_case__			,       snake_case__     )



	def __setitem__(       self			,       snake_case__			,       snake_case__     ):
		# Will raise a KeyException if needed
		super().__setitem__(snake_case__			,       snake_case__     )
		# Don't call self.__setattr__ to avoid recursion errors
		super().__setattr__(snake_case__			,       snake_case__     )



	def 					lowercase  (       self     ):
		return tuple(self[k] for k in self.keys()     )
