





from collections.abc import Sequence
from queue import Queue





class  A__    :




   """simple docstring"""



   def __init__(					self					,  lowercase					,  lowercase					,  lowercase					,  lowercase=None					,  lowercase=None)			->						Dict:







          '''simple docstring'''

          a__						:	Tuple =				start
          a__						:	Any =				end
          a__						:	Optional[Any] =				val
          a__						:	Optional[Any] =				(start + end) // 2
          a__						:	Optional[Any] =				left
          a__						:	Any =				right

   def __repr__(					self)			->						int:







          '''simple docstring'''

          return F'SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'





class  A__    :




   """simple docstring"""



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







          '''simple docstring'''

          a__						:	Tuple =				collection
          a__						:	Tuple =				function
          if self.collection:
                 a__						:	str =				self._build_tree(0					,  len(lowercase) - 1)

   def 							__lowercase		(					self					,  lowercase					,  lowercase)			->						str:







          '''simple docstring'''

          self._update_tree(self.root					,  lowercase					,  lowercase)

   def 							__lowercase		(					self					,  lowercase					,  lowercase)			->						List[str]:







          '''simple docstring'''

          return self._query_range(self.root					,  lowercase					,  lowercase)

   def 							__lowercase		(					self					,  lowercase					,  lowercase)			->						Any:







          '''simple docstring'''

          if start == end:
                 return SegmentTreeNode(lowercase					,  lowercase					,  self.collection[start])
          a__						:	Union[str, Any] =				(start + end) // 2
          a__						:	Any =				self._build_tree(lowercase					,  lowercase)
          a__						:	str =				self._build_tree(mid + 1					,  lowercase)
          return SegmentTreeNode(lowercase					,  lowercase					,  self.fn(left.val					,  right.val)					,  lowercase					,  lowercase)

   def 							__lowercase		(					self					,  lowercase					,  lowercase					,  lowercase)			->						Union[str, Any]:







          '''simple docstring'''

          if node.start == i and node.end == i:
                 a__						:	Tuple =				val
                 return
          if i <= node.mid:
                 self._update_tree(node.left					,  lowercase					,  lowercase)
          else:
                 self._update_tree(node.right					,  lowercase					,  lowercase)
          a__						:	Union[str, Any] =				self.fn(node.left.val					,  node.right.val)

   def 							__lowercase		(					self					,  lowercase					,  lowercase					,  lowercase)			->						Tuple:







          '''simple docstring'''

          if node.start == i and node.end == j:
                 return node.val

          if i <= node.mid:
                 if j <= node.mid:
                        # range in left child tree
                        return self._query_range(node.left					,  lowercase					,  lowercase)
                 else:
                        # range in left child tree and right child tree
                        return self.fn(
                            self._query_range(node.left					,  lowercase					,  node.mid)					,  self._query_range(node.right					,  node.mid + 1					,  lowercase)					,  )
          else:
                 # range in right child tree
                 return self._query_range(node.right					,  lowercase					,  lowercase)

   def 							__lowercase		(					self)			->						str:







          '''simple docstring'''

          if self.root is not None:
                 a__						:	List[str] =				Queue()
                 queue.put(self.root)
                 while not queue.empty():
                        a__						:	int =				queue.get()
                        yield node

                        if node.left is not None:
                               queue.put(node.left)

                        if node.right is not None:
                               queue.put(node.right)


if __name__ == "__main__":
    import operator

    for fn in [operator.add, max, min]:
        print("""*""" * 5_0)
        lowercase      :       str									=  SegmentTree([2, 1, 5, 3, 4], fn)
        for node in arr.traverse():
            print(node)
        print()

        arr.update(1, 5)
        for node in arr.traverse():
            print(node)
        print()

        print(arr.query_range(3, 4))  # 7
        print(arr.query_range(2, 2))  # 5
        print(arr.query_range(1, 3))  # 13
        print()






"""simple docstring"""







import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
		import torch

		from transformers.generation import DisjunctiveConstraint




@require_torch
class  UpperCamelCase_	( unittest.TestCase):

	"""simple docstring"""





	def   UpperCAmelCase_      ( self			:				Optional[int]   )       ->	List[str]:
						# For consistency across different places the DisjunctiveConstraint is called,
						# dc.token_ids is a list of integers. It is also initialized only by integers.

						__SCREAMING_SNAKE_CASE						   =				[[1, 2, 4], [1, 2, 3, 4]]
						__SCREAMING_SNAKE_CASE						   =				DisjunctiveConstraint(UpperCAmelCase__   )
						self.assertTrue(isinstance(dc.token_ids			,			UpperCAmelCase__   )   )

						with self.assertRaises(UpperCAmelCase__   ):
											DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]   )   )

						with self.assertRaises(UpperCAmelCase__   ):
											DisjunctiveConstraint([torch.LongTensor([1, 2, 4]   ), torch.LongTensor([1, 2, 3, 4, 5]   )]   )




	def   UpperCAmelCase_      ( self			:				Any   )       ->	int:
						# We can't have constraints that are complete subsets of another. This leads to a preverse
						# interpretation of "constraint fulfillment": does generating [1,2,3] fulfill the constraint?
						# It would mean that it generated [1,2] which fulfills it, but it's in the middle of potentially
						# fulfilling [1,2,3,4]. If we believe that [1,2,3] does fulfill the constraint, then the algorithm
						# will necessarily never reach [1,2,3,4], giving users a false sense of control (better to just not allow it).
						__SCREAMING_SNAKE_CASE						   =				[[1, 2], [1, 2, 3, 4]]

						with self.assertRaises(UpperCAmelCase__   ):
											DisjunctiveConstraint(UpperCAmelCase__   )  # fails here




	def   UpperCAmelCase_      ( self			:				List[Any]   )       ->	Any:
						__SCREAMING_SNAKE_CASE						   =				[[1, 2, 3], [1, 2, 4]]

						__SCREAMING_SNAKE_CASE						   =				DisjunctiveConstraint(UpperCAmelCase__   )

						__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				dc.update(1   )
						__SCREAMING_SNAKE_CASE						   =				stepped is True and completed is False and reset is False
						self.assertTrue(UpperCAmelCase__   )
						self.assertTrue(not dc.completed   )
						self.assertTrue(dc.current_seq == [1]   )

						__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				dc.update(2   )
						__SCREAMING_SNAKE_CASE						   =				stepped is True and completed is False and reset is False
						self.assertTrue(UpperCAmelCase__   )
						self.assertTrue(not dc.completed   )
						self.assertTrue(dc.current_seq == [1, 2]   )

						__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				dc.update(3   )
						__SCREAMING_SNAKE_CASE						   =				stepped is True and completed is True and reset is False
						self.assertTrue(UpperCAmelCase__   )
						self.assertTrue(dc.completed   )  # Completed!
						self.assertTrue(dc.current_seq == [1, 2, 3]   )




	def   UpperCAmelCase_      ( self			:				str   )       ->	List[str]:
						__SCREAMING_SNAKE_CASE						   =				[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

						__SCREAMING_SNAKE_CASE						   =				DisjunctiveConstraint(UpperCAmelCase__   )

						__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				dc.update(1   )
						self.assertTrue(not dc.completed   )
						self.assertTrue(dc.current_seq == [1]   )

						__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				dc.update(2   )
						self.assertTrue(not dc.completed   )
						self.assertTrue(dc.current_seq == [1, 2]   )

						__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				dc.update(4   )
						self.assertTrue(not dc.completed   )
						self.assertTrue(dc.current_seq == [1, 2, 4]   )

						__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				dc.update(5   )
						self.assertTrue(dc.completed   )  # Completed!
						self.assertTrue(dc.current_seq == [1, 2, 4, 5]   )

						dc.reset()

						__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				dc.update(1   )
						self.assertTrue(not dc.completed   )
						self.assertTrue(dc.remaining() == 3   )
						self.assertTrue(dc.current_seq == [1]   )

						__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				dc.update(2   )
						self.assertTrue(not dc.completed   )
						self.assertTrue(dc.remaining() == 2   )
						self.assertTrue(dc.current_seq == [1, 2]   )

						__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				dc.update(5   )
						self.assertTrue(dc.completed   )  # Completed!
						self.assertTrue(dc.remaining() == 0   )
						self.assertTrue(dc.current_seq == [1, 2, 5]   )
