


from __future__ import annotations

from abc import abstractmethod
from collections.abc import Iterable
from typing import Generic, Protocol, TypeVar
class      UpperCAmelCase_ ( UpperCamelCase_   ):

   '''simple docstring'''




   @abstractmethod
   def __lt__(		self						,    __A			):






     """simple docstring"""





     pass






   @abstractmethod
   def __gt__(		self						,    __A			):






     """simple docstring"""





     pass






   @abstractmethod
   def __eq__(		self						,    __A			):






     """simple docstring"""





     pass



_snake_case					=					TypeVar('''T''', bound=Comparable)
class      UpperCAmelCase_ ( Generic[T]   ):

   '''simple docstring'''




   def __init__(		self			):






     """simple docstring"""





     lowerCamelCase			: list[T]   =    []
     lowerCamelCase			: int   =    0






   def __repr__(		self			):






     """simple docstring"""





     return str(self.h			)






   def _snake_case   (		self						,    __A			):






     """simple docstring"""





     if child_idx > 0:
       return (child_idx - 1) // 2
     return None






   def _snake_case   (		self						,    __A			):






     """simple docstring"""





     lowerCamelCase			: Dict   =    2 * parent_idx + 1
     if left_child_index < self.heap_size:
       return left_child_index
     return None






   def _snake_case   (		self						,    __A			):






     """simple docstring"""





     lowerCamelCase			: Optional[int]   =    2 * parent_idx + 2
     if right_child_index < self.heap_size:
       return right_child_index
     return None






   def _snake_case   (		self						,    __A			):






     """simple docstring"""





     if index < self.heap_size:
       lowerCamelCase			: int   =    index
       lowerCamelCase			: Any   =    self.left_child_idx(lowercase_			)
       lowerCamelCase			: int   =    self.right_child_idx(lowercase_			)
       # check which child is larger than its parent
       if left_child is not None and self.h[left_child] > self.h[violation]:
         lowerCamelCase			: str   =    left_child
       if right_child is not None and self.h[right_child] > self.h[violation]:
         lowerCamelCase			: str   =    right_child
       # if violation indeed exists
       if violation != index:
         # swap to fix the violation
         lowerCamelCase			: List[str]   =    self.h[index], self.h[violation]
         # fix the subsequent violation recursively if any
         self.max_heapify(lowercase_			)






   def _snake_case   (		self						,    __A			):






     """simple docstring"""





     lowerCamelCase			: List[Any]   =    list(lowercase_			)
     lowerCamelCase			: Dict   =    len(self.h			)
     if self.heap_size > 1:
       # max_heapify from right to left but exclude leaves (last level)
       for i in range(self.heap_size // 2 - 1						,    -1						,    -1			):
         self.max_heapify(lowercase_			)






   def _snake_case   (		self			):






     """simple docstring"""





     if self.heap_size >= 2:
       lowerCamelCase			: Optional[int]   =    self.h[0]
       lowerCamelCase			: Optional[int]   =    self.h.pop(-1			)
       self.heap_size -= 1
       self.max_heapify(0			)
       return me
     elif self.heap_size == 1:
       self.heap_size -= 1
       return self.h.pop(-1			)
     else:
       raise Exception("Empty heap"			)






   def _snake_case   (		self						,    __A			):






     """simple docstring"""





     self.h.append(lowercase_			)
     lowerCamelCase			: List[Any]   =    (self.heap_size - 1) // 2
     self.heap_size += 1
     while idx >= 0:
       self.max_heapify(lowercase_			)
       lowerCamelCase			: Tuple   =    (idx - 1) // 2






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: Union[str, Any]   =    self.heap_size
     for j in range(size - 1						,    0						,    -1			):
       lowerCamelCase			: Optional[Any]   =    self.h[j], self.h[0]
       self.heap_size -= 1
       self.max_heapify(0			)
     lowerCamelCase			: Union[str, Any]   =    size


if __name__ == "__main__":
     import doctest

     # run doc test
     doctest.testmod()

     # demo
     for unsorted in [
         [0],
         [2],
         [3, 5],
         [5, 3],
         [5, 5],
         [0, 0, 0, 0],
         [1, 1, 1, 1],
         [2, 2, 3, 5],
         [0, 2, 2, 3, 5],
         [2, 5, 3, 0, 2, 3, 0, 3],
         [6, 1, 2, 7, 9, 3, 4, 5, 10, 8],
         [1_03, 9, 1, 7, 11, 15, 25, 2_01, 2_09, 1_07, 5],
         [-45, -2, -5],
     ]:
          print(f'''unsorted array: {unsorted}''')

          _snake_case					=					Heap()
          heap.build_max_heap(unsorted)
          print(f'''after build heap: {heap}''')

          print(f'''max value: {heap.extract_max()}''')
          print(f'''after max value removed: {heap}''')

          heap.insert(1_00)
          print(f'''after new value 100 inserted: {heap}''')

          heap.heap_sort()
          print(f'''heap-sorted array: {heap}\n''')







from typing import Optional, Union

from ...file_utils import TensorType
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, TruncationStrategy
class      UpperCAmelCase_ ( UpperCamelCase   ):

   '''simple docstring'''




   __A			:				Union[str, Any]							=		"MarkupLMFeatureExtractor"
   __A			:				List[str]							=		("MarkupLMTokenizer", "MarkupLMTokenizerFast")
   __A			:				str							=		True






   def __call__(		self						,    __A=None						,    __A=None						,    __A=None						,    __A=None						,    __A=None						,    __A = True						,    __A = False						,    __A = None						,    __A = None						,    __A = 0						,    __A = None						,    __A = None						,    __A = None						,    __A = False						,    __A = False						,    __A = False						,    __A = False						,    __A = True						,    __A = None						,    **__A						,    ):






     """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			: Any   =    self.feature_extractor(__A			)
       lowerCamelCase			: Optional[int]   =    features["nodes"]
       lowerCamelCase			: Any   =    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(__A						,    __A			):
         lowerCamelCase			: Tuple   =    [questions]  # add batch dimension (as the feature extractor always adds a batch dimension)

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

     return encoded_inputs






   def _snake_case   (		self						,    *__A						,    **__A			):






     """simple docstring"""





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






   def _snake_case   (		self						,    *__A						,    **__A			):






     """simple docstring"""





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






   @property
   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: Dict   =    self.tokenizer.model_input_names
     return tokenizer_input_names



