'''simple docstring'''




from collections.abc import Callable






class 		__A       :






       def __init__(      self				,     UpperCamelCase_ = None      ):
              # Stores actual heap items.
              __UpperCAmelCase  :				list       				=		[]
              # Stores indexes of each item for supporting updates and deletion.
              __UpperCAmelCase  :				dict       				=		{}
              # Stores current size of heap.
              __UpperCAmelCase  :				Tuple       				=		0
              # Stores function used to evaluate the score of an item on which basis ordering
              # will be done.
              __UpperCAmelCase  :				Optional[Any]       				=		key or (lambda UpperCamelCase_      : x)






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              return int((i - 1) / 2      ) if i > 0 else None






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				List[Any]       				=		int(2 * i + 1      )
              return left if 0 < left < self.size else None






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				str       				=		int(2 * i + 2      )
              return right if 0 < right < self.size else None






       def 			_snake_case						(      self				,     UpperCamelCase_				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				int       				=		(
                  self.pos_map[self.arr[j][0]],
                  self.pos_map[self.arr[i][0]],
              )
              # Then swap the items in the list.
              __UpperCAmelCase  :				Any       				=		self.arr[j], self.arr[i]






       def 			_snake_case						(      self				,     UpperCamelCase_				,     UpperCamelCase_      ):
              return self.arr[i][1] < self.arr[j][1]






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				str       				=		self._left(UpperCamelCase_      )
              __UpperCAmelCase  :				str       				=		self._right(UpperCamelCase_      )
              __UpperCAmelCase  :				int       				=		i

              if left is not None and not self._cmp(UpperCamelCase_				,     UpperCamelCase_      ):
                     __UpperCAmelCase  :				Union[str, Any]       				=		left
              if right is not None and not self._cmp(UpperCamelCase_				,     UpperCamelCase_      ):
                     __UpperCAmelCase  :				Union[str, Any]       				=		right

              return valid_parent






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				List[str]       				=		self._parent(UpperCamelCase_      )
              while parent is not None and not self._cmp(UpperCamelCase_				,     UpperCamelCase_      ):
                     self._swap(UpperCamelCase_				,     UpperCamelCase_      )
                     __UpperCAmelCase  :				int       				=		parent, self._parent(UpperCamelCase_      )






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				int       				=		self._get_valid_parent(UpperCamelCase_      )
              while valid_parent != index:
                     self._swap(UpperCamelCase_				,     UpperCamelCase_      )
                     __UpperCAmelCase  :				Tuple       				=		valid_parent, self._get_valid_parent(UpperCamelCase_      )






       def 			_snake_case						(      self				,     UpperCamelCase_				,     UpperCamelCase_      ):
              if item not in self.pos_map:
                     return
              __UpperCAmelCase  :				str       				=		self.pos_map[item]
              __UpperCAmelCase  :				List[Any]       				=		[item, self.key(UpperCamelCase_      )]
              # Make sure heap is right in both up and down direction.
              # Ideally only one of them will make any change.
              self._heapify_up(UpperCamelCase_      )
              self._heapify_down(UpperCamelCase_      )






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              if item not in self.pos_map:
                     return
              __UpperCAmelCase  :				str       				=		self.pos_map[item]
              del self.pos_map[item]
              __UpperCAmelCase  :				Union[str, Any]       				=		self.arr[self.size - 1]
              __UpperCAmelCase  :				int       				=		index
              self.size -= 1
              # Make sure heap is right in both up and down direction. Ideally only one
              # of them will make any change- so no performance loss in calling both.
              if self.size > index:
                     self._heapify_up(UpperCamelCase_      )
                     self._heapify_down(UpperCamelCase_      )






       def 			_snake_case						(      self				,     UpperCamelCase_				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				Dict       				=		len(self.arr      )
              if arr_len == self.size:
                     self.arr.append([item, self.key(UpperCamelCase_      )]      )
              else:
                     __UpperCAmelCase  :				int       				=		[item, self.key(UpperCamelCase_      )]
              __UpperCAmelCase  :				Optional[int]       				=		self.size
              self.size += 1
              self._heapify_up(self.size - 1      )






       def 			_snake_case						(      self      ):
              return self.arr[0] if self.size else None







       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				str       				=		self.get_top()
              if top_item_tuple:
                     self.delete_item(top_item_tuple[0]      )
              return top_item_tuple





def _lowercase	(      )					->       None:





       """simple docstring"""






if __name__ == "__main__":
   import doctest

   doctest.testmod()







'''simple docstring'''




import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
   import torch

   from transformers.generation import (
       MaxLengthCriteria,
       MaxNewTokensCriteria,
       MaxTimeCriteria,
       StoppingCriteriaList,
       validate_stopping_criteria,
   )






@require_torch
class 		__A       (unittest.TestCase   ):






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				List[str]       				=		3
              __UpperCAmelCase  :				Tuple       				=		2_50

              __UpperCAmelCase  :				str       				=		ids_tensor((batch_size, length)				,     UpperCamelCase_      )
              __UpperCAmelCase  :				Any       				=		torch.ones((batch_size, length)				,     device=UpperCamelCase_				,     dtype=torch.float      ) / length
              return input_ids, scores






       def 			_snake_case						(      self      ):
              __UpperCAmelCase				, __UpperCAmelCase  :				Tuple       				=		self._get_tensors(5      )

              __UpperCAmelCase  :				Tuple       				=		StoppingCriteriaList(
                  [
                      MaxLengthCriteria(max_length=10      ),
                      MaxTimeCriteria(max_time=0.1      ),
                  ]      )

              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				int       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[int]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				int       				=		MaxLengthCriteria(max_length=10      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Tuple       				=		self._get_tensors(5      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Dict       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[int]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				Optional[Any]       				=		MaxNewTokensCriteria(start_length=5				,     max_new_tokens=5      )

              __UpperCAmelCase				, __UpperCAmelCase  :				List[str]       				=		self._get_tensors(5      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Dict       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[Any]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase  :				Union[str, Any]       				=		StoppingCriteriaList([criteria]      )
              self.assertEqual(criteria_list.max_length				,     10      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[Any]       				=		self._get_tensors(5      )

              __UpperCAmelCase  :				str       				=		MaxTimeCriteria(max_time=0.1      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase  :				str       				=		MaxTimeCriteria(max_time=0.1				,     initial_timestamp=time.time() - 0.2      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )







       def 			_snake_case						(      self      ):
              validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10      )]      )				,     10      )

              with self.assertWarns(UpperCamelCase_      ):
                     validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10      )]      )				,     11      )

              __UpperCAmelCase  :				Optional[int]       				=		validate_stopping_criteria(StoppingCriteriaList()				,     11      )

              self.assertEqual(len(UpperCamelCase_      )				,     1      )






