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range-sum-query-mutable.py
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range-sum-query-mutable.py
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# Time: ctor: O(n),
# update: O(logn),
# query: O(logn)
# Space: O(n)
#
# Given an integer array nums, find the sum of
# the elements between indices i and j (i <= j), inclusive.
#
# The update(i, val) function modifies nums by
# updating the element at index i to val.
# Example:
# Given nums = [1, 3, 5]
#
# sumRange(0, 2) -> 9
# update(1, 2)
# sumRange(0, 2) -> 8
# Note:
# The array is only modifiable by the update function.
# You may assume the number of calls to update
# and sumRange function is distributed evenly.
#
# Segment Tree solutoin.
class NumArray(object):
def __init__(self, nums):
"""
initialize your data structure here.
:type nums: List[int]
"""
# Build segment tree.
self.__nums = nums
def buildHelper(nums, start, end):
if start > end:
return None
# The root's start and end is given by build method.
root = self._SegmentTreeNode(start, end, 0)
# If start equals to end, there will be no children for this node.
if start == end:
root.sum = nums[start]
return root
# Left child: start=nums.left, end=(nums.left + nums.right) / 2.
root.left = buildHelper(nums, start, (start + end) / 2)
# Right child: start=(nums.left + nums.right) / 2 + 1, end=nums.right.
root.right = buildHelper(nums, (start + end) / 2 + 1, end)
# Update sum.
root.sum = (root.left.sum if root.left else 0) + \
(root.right.sum if root.right else 0)
return root
self.__root = buildHelper(nums, 0, len(nums) - 1)
def update(self, i, val):
"""
:type i: int
:type val: int
:rtype: int
"""
def updateHelper(root, i, val):
# Out of range.
if not root or root.start > i or root.end < i:
return
# Change the node's value with [i] to the new given value.
if root.start == i and root.end == i:
root.sum = val
return
updateHelper(root.left, i, val)
updateHelper(root.right, i, val)
# Update sum.
root.sum = (root.left.sum if root.left else 0) + \
(root.right.sum if root.right else 0)
if self.__nums[i] != val:
self.__nums[i] = val
updateHelper(self.__root, i, val)
def sumRange(self, i, j):
"""
sum of elements nums[i..j], inclusive.
:type i: int
:type j: int
:rtype: int
"""
def sumRangeHelper(root, start, end):
# Out of range.
if not root or root.start > end or root.end < start:
return 0
# Current segment is totally within range [start, end]
if root.start >= start and root.end <= end:
return root.sum
return sumRangeHelper(root.left, start, end) + \
sumRangeHelper(root.right, start, end)
return sumRangeHelper(self.__root, i, j)
class _SegmentTreeNode:
def __init__(self, i, j, s):
self.start, self.end, self.sum = i, j, s
# Time: ctor: O(nlogn),
# update: O(logn),
# query: O(logn)
# Space: O(n)
# Binary Indexed Tree (BIT) solution.
class NumArray2(object):
def __init__(self, nums):
"""
initialize your data structure here.
:type nums: List[int]
"""
# Build segment tree.
if not nums:
return
self.__nums = nums
self.__bit = [0] * (len(self.__nums) + 1)
for i, num in enumerate(self.__nums):
self.__add(i, num)
def update(self, i, val):
"""
:type i: int
:type val: int
:rtype: int
"""
if val - self.__nums[i]:
self.__add(i, val - self.__nums[i])
self.__nums[i] = val
def sumRange(self, i, j):
"""
sum of elements nums[i..j], inclusive.
:type i: int
:type j: int
:rtype: int
"""
def sumRegion_bit(i):
i += 1
ret = 0
while i > 0:
ret += self.__bit[i]
i -= (i & -i)
return ret
ret = sumRegion_bit(j)
if i > 0:
ret -= sumRegion_bit(i - 1)
return ret
def __add(self, i, val):
i += 1
while i <= len(self.__nums):
self.__bit[i] += val
i += (i & -i)
# Your NumArray object will be instantiated and called as such:
# numArray = NumArray(nums)
# numArray.sumRange(0, 1)
# numArray.update(1, 10)
# numArray.sumRange(1, 2)