




"""simple docstring"""


class _lowerCamelCase    :






   def __init__(		self       :		Dict   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		str   )			->						Dict:

         """simple docstring"""
         lowerCAmelCase__      :			List[str]   =	name
         lowerCAmelCase__      :			Optional[int]   =	val






   def __str__(		self       :		Tuple   )			->						Optional[int]:

         """simple docstring"""
         return f"""{self.__class__.__name__}({self.name}, {self.val})"""






   def __lt__(		self       :		Tuple   ,     UpperCamelCase       :		List[str]   )			->						Optional[int]:

         """simple docstring"""
         return self.val < other.val






class _lowerCamelCase    :






   def __init__(		self       :		Union[str, Any]   ,     UpperCamelCase       :		Any   )			->						Optional[int]:

         """simple docstring"""
         lowerCAmelCase__      :			List[Any]   =	{}
         lowerCAmelCase__      :			int   =	{}
         lowerCAmelCase__      :			Any   =	self.build_heap(UpperCamelCase   )






   def __getitem__(		self       :		List[str]   ,     UpperCamelCase       :		Any   )			->						str:

         """simple docstring"""
         return self.get_value(UpperCamelCase   )






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		Any   )			->						int:

         """simple docstring"""
         return (idx - 1) // 2






   def 	_lowerCAmelCase   (		self       :		List[str]   ,     UpperCamelCase       :		str   )			->						str:

         """simple docstring"""
         return idx * 2 + 1






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		Optional[int]   )			->						Optional[Any]:

         """simple docstring"""
         return idx * 2 + 2






   def 	_lowerCAmelCase   (		self       :		Optional[int]   ,     UpperCamelCase       :		Dict   )			->						List[str]:

         """simple docstring"""
         return self.heap_dict[key]






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		Optional[int]   )			->						List[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	len(UpperCamelCase   ) - 1
         lowerCAmelCase__      :			List[Any]   =	self.get_parent_idx(UpperCamelCase   )

         for idx, i in enumerate(UpperCamelCase   ):
               lowerCAmelCase__      :			Tuple   =	idx
               lowerCAmelCase__      :			Dict   =	i.val

         for i in range(UpperCamelCase   ,     -1   ,     -1   ):
               self.sift_down(UpperCamelCase   ,     UpperCamelCase   )
         return array






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   ,     UpperCamelCase       :		Dict   ,     UpperCamelCase       :		Optional[Any]   )			->						Optional[Any]:

         """simple docstring"""
         while True:
               lowerCAmelCase__      :			str   =	self.get_left_child_idx(UpperCamelCase   )  # noqa: E741
               lowerCAmelCase__      :			int   =	self.get_right_child_idx(UpperCamelCase   )

               lowerCAmelCase__      :			int   =	idx
               if l < len(UpperCamelCase   ) and array[l] < array[idx]:
                     lowerCAmelCase__      :			List[str]   =	l
               if r < len(UpperCamelCase   ) and array[r] < array[smallest]:
                     lowerCAmelCase__      :			List[Any]   =	r

               if smallest != idx:
                     lowerCAmelCase__ ,   lowerCAmelCase__      :			Any   =	array[smallest], array[idx]
                     (
                         (
                         lowerCAmelCase__
                     ) ,   (
                         lowerCAmelCase__
                     ) ,   
                     )      :			Optional[int]   =	(
                         self.idx_of_element[array[smallest]],
                         self.idx_of_element[array[idx]],
                     )
                     lowerCAmelCase__      :			Union[str, Any]   =	smallest
               else:
                     break






   def 	_lowerCAmelCase   (		self       :		Union[str, Any]   ,     UpperCamelCase       :		Dict   )			->						Optional[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Union[str, Any]   =	self.get_parent_idx(UpperCamelCase   )
         while p >= 0 and self.heap[p] > self.heap[idx]:
               lowerCAmelCase__ ,   lowerCAmelCase__      :			Any   =	self.heap[idx], self.heap[p]
               lowerCAmelCase__ ,   lowerCAmelCase__      :			Optional[int]   =	(
                   self.idx_of_element[self.heap[idx]],
                   self.idx_of_element[self.heap[p]],
               )
               lowerCAmelCase__      :			Optional[Any]   =	p
               lowerCAmelCase__      :			Dict   =	self.get_parent_idx(UpperCamelCase   )






   def 	_lowerCAmelCase   (		self       :		List[Any]   )			->						Tuple:

         """simple docstring"""
         return self.heap[0]






   def 	_lowerCAmelCase   (		self       :		Tuple   )			->						List[str]:

         """simple docstring"""
         lowerCAmelCase__ ,   lowerCAmelCase__      :			int   =	self.heap[-1], self.heap[0]
         lowerCAmelCase__ ,   lowerCAmelCase__      :			List[Any]   =	(
             self.idx_of_element[self.heap[-1]],
             self.idx_of_element[self.heap[0]],
         )

         lowerCAmelCase__      :			str   =	self.heap.pop()
         del self.idx_of_element[x]
         self.sift_down(0   ,     self.heap   )
         return x






   def 	_lowerCAmelCase   (		self       :		List[str]   ,     UpperCamelCase       :		Optional[int]   )			->						Any:

         """simple docstring"""
         self.heap.append(UpperCamelCase   )
         lowerCAmelCase__      :			Union[str, Any]   =	len(self.heap   ) - 1
         lowerCAmelCase__      :			Tuple   =	node.val
         self.sift_up(len(self.heap   ) - 1   )






   def 	_lowerCAmelCase   (		self       :		Any   )			->						Any:

         """simple docstring"""
         return len(self.heap   ) == 0






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		Any   ,     UpperCamelCase       :		Any   )			->						Optional[int]:

         """simple docstring"""
         assert (
             self.heap[self.idx_of_element[node]].val > new_value
         ), "newValue must be less that current value"
         lowerCAmelCase__      :			List[str]   =	new_value
         lowerCAmelCase__      :			Tuple   =	new_value
         self.sift_up(self.idx_of_element[node]   )






_A													=      Node("""R""", -1)
_A													=      Node("""B""", 6)
_A													=      Node("""A""", 3)
_A													=      Node("""X""", 1)
_A													=      Node("""E""", 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
_A													=      MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print("""Min Heap - before decrease key""")
for i in my_min_heap.heap:
  print(i)

print("""Min Heap - After decrease key of node [B -> -17]""")
my_min_heap.decrease_key(b, -1_7)

# After
for i in my_min_heap.heap:
  print(i)

if __name__ == "__main__":
  import doctest

  doctest.testmod()











"""simple docstring"""


import os
from collections import deque

import torch
from torch.utils.data import Dataset


class _lowerCamelCase    (					a_						):






   def __init__(		self       :		Tuple   ,     UpperCamelCase       :		List[Any]=""   ,     UpperCamelCase       :		List[str]="train"   )			->						List[Any]:

         """simple docstring"""
         assert os.path.isdir(UpperCamelCase   )

         lowerCAmelCase__      :			Union[str, Any]   =	[]
         lowerCAmelCase__      :			List[Any]   =	os.listdir(UpperCamelCase   )
         for story_filename in story_filenames_list:
               if "summary" in story_filename:
                     continue
               lowerCAmelCase__      :			Any   =	os.path.join(UpperCamelCase   ,     UpperCamelCase   )
               if not os.path.isfile(UpperCamelCase   ):
                     continue
               self.documents.append(UpperCamelCase   )






   def __len__(		self       :		List[Any]   )			->						int:

         """simple docstring"""
         return len(self.documents   )






   def __getitem__(		self       :		str   ,     UpperCamelCase       :		Union[str, Any]   )			->						str:

         """simple docstring"""
         lowerCAmelCase__      :			Any   =	self.documents[idx]
         lowerCAmelCase__      :			List[Any]   =	document_path.split("""/"""   )[-1]
         with open(UpperCamelCase   ,     encoding="""utf-8"""   ) as source:
               lowerCAmelCase__      :			List[str]   =	source.read()
               lowerCAmelCase__ ,   lowerCAmelCase__      :			Union[str, Any]   =	process_story(UpperCamelCase   )
         return document_name, story_lines, summary_lines






def 	lowercase_				(			__UpperCAmelCase				)						->    Union[str, Any]:
      lowerCAmelCase__      :			Tuple   =	list(filter(lambda __UpperCAmelCase				: len(__UpperCAmelCase				) != 0    ,		[line.strip() for line in raw_story.split("""\n"""				)]				)				)

      # for some unknown reason some lines miss a period, add it
      lowerCAmelCase__      :			List[str]   =	[_add_missing_period(__UpperCAmelCase				) for line in nonempty_lines]

      # gather article lines
      lowerCAmelCase__      :			Optional[int]   =	[]
      lowerCAmelCase__      :			Optional[int]   =	deque(__UpperCAmelCase				)
      while True:
            try:
                  lowerCAmelCase__      :			List[Any]   =	lines.popleft()
                  if element.startswith("""@highlight"""				):
                        break
                  story_lines.append(__UpperCAmelCase				)
            except IndexError:
                  # if "@highlight" is absent from the file we pop
                  # all elements until there is None, raising an exception.
                  return story_lines, []

    # gather summary lines
      lowerCAmelCase__      :			Any   =	list(filter(lambda __UpperCAmelCase				: not t.startswith("""@highlight"""				)    ,		__UpperCAmelCase				)				)

      return story_lines, summary_lines



def 	lowercase_				(			__UpperCAmelCase				)						->    Optional[int]:
      lowerCAmelCase__      :			List[str]   =	[""".""", """!""", """?""", """...""", """'""", """`""", """\"""", """\u2019""", """\u2019""", """)"""]
      if line.startswith("""@highlight"""				):
            return line
      if line[-1] in END_TOKENS:
            return line
      return line + "."



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				)						->    List[Any]:
      if len(__UpperCAmelCase				) > block_size:
            return sequence[:block_size]
      else:
            sequence.extend([pad_token_id] * (block_size - len(__UpperCAmelCase				))				)
            return sequence



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    Tuple:
      lowerCAmelCase__      :			List[str]   =	torch.ones_like(__UpperCAmelCase				)
      lowerCAmelCase__      :			List[str]   =	sequence == pad_token_id
      lowerCAmelCase__      :			str   =	0
      return mask



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				)						->    List[Any]:
      lowerCAmelCase__      :			Tuple   =	[tokenizer.encode(__UpperCAmelCase				) for line in story_lines]
      lowerCAmelCase__      :			List[str]   =	[token for sentence in story_lines_token_ids for token in sentence]
      lowerCAmelCase__      :			int   =	[tokenizer.encode(__UpperCAmelCase				) for line in summary_lines]
      lowerCAmelCase__      :			Union[str, Any]   =	[token for sentence in summary_lines_token_ids for token in sentence]

      return story_token_ids, summary_token_ids



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    List[str]:
      lowerCAmelCase__      :			Tuple   =	[]
      for sequence in batch:
            lowerCAmelCase__      :			Union[str, Any]   =	-1
            lowerCAmelCase__      :			List[str]   =	[]
            for s in sequence:
                  if s == separator_token_id:
                        sentence_num += 1
                  embeddings.append(sentence_num % 2				)
            batch_embeddings.append(__UpperCAmelCase				)
      return torch.tensor(__UpperCAmelCase				)





