



"""simple docstring"""






class      A__  :




	'''simple docstring'''





	def __init__(	self:						Dict			,     _SCREAMING_SNAKE_CASE:						Optional[int]			,     _SCREAMING_SNAKE_CASE:						Dict)							->			List[str]:

				"""simple docstring"""

				__lowerCAmelCase :    int				=			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:						Optional[int]			,     _SCREAMING_SNAKE_CASE:						Union[str, Any])							->			Any:

				"""simple docstring"""

				return self.val < other.val






class      A__  :




	'''simple docstring'''





	def __init__(	self:						int			,     _SCREAMING_SNAKE_CASE:						Optional[int])							->			int:

				"""simple docstring"""

				__lowerCAmelCase :    str				=			{}
				__lowerCAmelCase :    Optional[Any]				=			{}
				__lowerCAmelCase :    Any				=			self.build_heap(_SCREAMING_SNAKE_CASE)

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

				"""simple docstring"""

				return self.get_value(_SCREAMING_SNAKE_CASE)

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

				"""simple docstring"""

				return (idx - 1) // 2

	def 				_SCREAMING_SNAKE_CASE  (	self:						int			,     _SCREAMING_SNAKE_CASE:						Optional[int])							->			int:

				"""simple docstring"""

				return idx * 2 + 1

	def 				_SCREAMING_SNAKE_CASE  (	self:						int			,     _SCREAMING_SNAKE_CASE:						Optional[Any])							->			Optional[int]:

				"""simple docstring"""

				return idx * 2 + 2

	def 				_SCREAMING_SNAKE_CASE  (	self:						Dict			,     _SCREAMING_SNAKE_CASE:						Union[str, Any])							->			List[Any]:

				"""simple docstring"""

				return self.heap_dict[key]

	def 				_SCREAMING_SNAKE_CASE  (	self:						Any			,     _SCREAMING_SNAKE_CASE:						Any)							->			Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase :    Optional[int]				=			len(_SCREAMING_SNAKE_CASE) - 1
				__lowerCAmelCase :    Any				=			self.get_parent_idx(_SCREAMING_SNAKE_CASE)

				for idx, i in enumerate(_SCREAMING_SNAKE_CASE):
							__lowerCAmelCase :    List[Any]				=			idx
							__lowerCAmelCase :    Optional[Any]				=			i.val

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						str			,     _SCREAMING_SNAKE_CASE:						List[str]			,     _SCREAMING_SNAKE_CASE:						int)							->			List[str]:

				"""simple docstring"""

				while True:
							__lowerCAmelCase :    Any				=			self.get_left_child_idx(_SCREAMING_SNAKE_CASE)  # noqa: E741
							__lowerCAmelCase :    Union[str, Any]				=			self.get_right_child_idx(_SCREAMING_SNAKE_CASE)

							__lowerCAmelCase :    Union[str, Any]				=			idx
							if l < len(_SCREAMING_SNAKE_CASE) and array[l] < array[idx]:
										__lowerCAmelCase :    Any				=			l
							if r < len(_SCREAMING_SNAKE_CASE) and array[r] < array[smallest]:
										__lowerCAmelCase :    Dict				=			r

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						Tuple			,     _SCREAMING_SNAKE_CASE:						Optional[int])							->			Any:

				"""simple docstring"""

				__lowerCAmelCase :    str				=			self.get_parent_idx(_SCREAMING_SNAKE_CASE)
				while p >= 0 and self.heap[p] > self.heap[idx]:
							__lowerCAmelCase		,      __lowerCAmelCase :    str				=			self.heap[idx], self.heap[p]
							__lowerCAmelCase		,      __lowerCAmelCase :    List[str]				=			(
							    self.idx_of_element[self.heap[idx]],
							    self.idx_of_element[self.heap[p]],
							)
							__lowerCAmelCase :    Dict				=			p
							__lowerCAmelCase :    Union[str, Any]				=			self.get_parent_idx(_SCREAMING_SNAKE_CASE)

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[Any])							->			List[Any]:

				"""simple docstring"""

				return self.heap[0]

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[Any])							->			List[str]:

				"""simple docstring"""

				__lowerCAmelCase		,      __lowerCAmelCase :    int				=			self.heap[-1], self.heap[0]
				__lowerCAmelCase		,      __lowerCAmelCase :    Any				=			(
				    self.idx_of_element[self.heap[-1]],
				    self.idx_of_element[self.heap[0]],
				)

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						Union[str, Any]			,     _SCREAMING_SNAKE_CASE:						List[str])							->			List[Any]:

				"""simple docstring"""

				self.heap.append(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    Tuple				=			len(self.heap) - 1
				__lowerCAmelCase :    Any				=			node.val
				self.sift_up(len(self.heap) - 1)

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

				"""simple docstring"""

				return len(self.heap) == 0







	def 				_SCREAMING_SNAKE_CASE  (	self:						Any			,     _SCREAMING_SNAKE_CASE:						Union[str, Any]			,     _SCREAMING_SNAKE_CASE:						List[Any])							->			List[str]:

				"""simple docstring"""

				assert (
				    self.heap[self.idx_of_element[node]].val > new_value
				), "newValue must be less that current value"
				__lowerCAmelCase :    Dict				=			new_value
				__lowerCAmelCase :    int				=			new_value
				self.sift_up(self.idx_of_element[node])






__snake_case				:  str =       Node('R', -1)
__snake_case				:  List[Any] =       Node('B', 6)
__snake_case				:  List[str] =       Node('A', 3)
__snake_case				:  Optional[Any] =       Node('X', 1)
__snake_case				:  Tuple =       Node('E', 4)

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

# Generating Min-Heap from array
__snake_case				:  List[Any] =       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, -17)

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

if __name__ == "__main__":
	import doctest

	doctest.testmod()







import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow


if is_torch_available():
  import torch

  from transformers import XLMRobertaModel
@require_sentencepiece
@require_tokenizers
@require_torch
class 		SCREAMING_SNAKE_CASE__	(  unittest.TestCase     ):

  '''simple docstring'''







  @slow
  def  lowerCamelCase       (      self		:			List[str]							)						->	int:


         """simple docstring"""
         _UpperCAmelCase							=    XLMRobertaModel.from_pretrained("""xlm-roberta-base"""							)
         _UpperCAmelCase							=    torch.tensor([[0, 581, 1_0269, 83, 9_9942, 136, 6_0742, 23, 70, 8_0583, 1_8276, 2]]							)
         # The dog is cute and lives in the garden house

         _UpperCAmelCase							=    torch.Size((1, 12, 768)							)  # batch_size, sequence_length, embedding_vector_dim
         _UpperCAmelCase							=    torch.tensor(
             [[-0.0101, 0.1218, -0.0803, 0.0801, 0.1327, 0.0776, -0.1215, 0.2383, 0.3338, 0.3106, 0.0300, 0.0252]]							)
         #  xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')
         #  xlmr.eval()
         #  expected_output_values_last_dim = xlmr.extract_features(input_ids[0])[:, :, -1]
         with torch.no_grad():
                _UpperCAmelCase							=    model(lowerCamelCase							)["""last_hidden_state"""].detach()
         self.assertEqual(output.shape       ,				lowerCamelCase							)
         # compare the actual values for a slice of last dim
         self.assertTrue(torch.allclose(output[:, :, -1]       ,				lowerCamelCase       ,				atol=1E-3							)							)





  @slow
  def  lowerCamelCase       (      self		:			Optional[int]							)						->	Union[str, Any]:


         """simple docstring"""
         _UpperCAmelCase							=    XLMRobertaModel.from_pretrained("""xlm-roberta-large"""							)
         _UpperCAmelCase							=    torch.tensor([[0, 581, 1_0269, 83, 9_9942, 136, 6_0742, 23, 70, 8_0583, 1_8276, 2]]							)
         # The dog is cute and lives in the garden house

         _UpperCAmelCase							=    torch.Size((1, 12, 1024)							)  # batch_size, sequence_length, embedding_vector_dim
         _UpperCAmelCase							=    torch.tensor(
             [[-0.0699, -0.0318, 0.0705, -0.1241, 0.0999, -0.0520, 0.1004, -0.1838, -0.4704, 0.1437, 0.0821, 0.0126]]							)
         #  xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.large')
         #  xlmr.eval()
         #  expected_output_values_last_dim = xlmr.extract_features(input_ids[0])[:, :, -1]
         with torch.no_grad():
                _UpperCAmelCase							=    model(lowerCamelCase							)["""last_hidden_state"""].detach()
         self.assertEqual(output.shape       ,				lowerCamelCase							)
         # compare the actual values for a slice of last dim
         self.assertTrue(torch.allclose(output[:, :, -1]       ,				lowerCamelCase       ,				atol=1E-3							)							)