LeetCode 1649. Create Sorted Array through Instructions Solution in Java, C++, Python & More | Explanation + Code

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1649. Create Sorted Array through Instructions

Description

Given an integer array instructions, you are asked to create a sorted array from the elements in instructions. You start with an empty container nums. For each element from left to right in instructions, insert it into nums. The cost of each insertion is the minimum of the following:

    <li>The number of elements currently in <code>nums</code> that are <strong>strictly less than</strong> <code>instructions[i]</code>.</li>
    
    <li>The number of elements currently in <code>nums</code> that are <strong>strictly greater than</strong> <code>instructions[i]</code>.</li>
    

For example, if inserting element 3 into nums = [1,2,3,5], the cost of insertion is min(2, 1) (elements 1 and 2 are less than 3, element 5 is greater than 3) and nums will become [1,2,3,3,5].

Return the total cost to insert all elements from instructions into nums. Since the answer may be large, return it modulo 109 + 7

 

Example 1:


Input: instructions = [1,5,6,2]

Output: 1

Explanation: Begin with nums = [].

Insert 1 with cost min(0, 0) = 0, now nums = [1].

Insert 5 with cost min(1, 0) = 0, now nums = [1,5].

Insert 6 with cost min(2, 0) = 0, now nums = [1,5,6].

Insert 2 with cost min(1, 2) = 1, now nums = [1,2,5,6].

The total cost is 0 + 0 + 0 + 1 = 1.

Example 2:


Input: instructions = [1,2,3,6,5,4]

Output: 3

Explanation: Begin with nums = [].

Insert 1 with cost min(0, 0) = 0, now nums = [1].

Insert 2 with cost min(1, 0) = 0, now nums = [1,2].

Insert 3 with cost min(2, 0) = 0, now nums = [1,2,3].

Insert 6 with cost min(3, 0) = 0, now nums = [1,2,3,6].

Insert 5 with cost min(3, 1) = 1, now nums = [1,2,3,5,6].

Insert 4 with cost min(3, 2) = 2, now nums = [1,2,3,4,5,6].

The total cost is 0 + 0 + 0 + 0 + 1 + 2 = 3.

Example 3:


Input: instructions = [1,3,3,3,2,4,2,1,2]

Output: 4

Explanation: Begin with nums = [].

Insert 1 with cost min(0, 0) = 0, now nums = [1].

Insert 3 with cost min(1, 0) = 0, now nums = [1,3].

Insert 3 with cost min(1, 0) = 0, now nums = [1,3,3].

Insert 3 with cost min(1, 0) = 0, now nums = [1,3,3,3].

Insert 2 with cost min(1, 3) = 1, now nums = [1,2,3,3,3].

Insert 4 with cost min(5, 0) = 0, now nums = [1,2,3,3,3,4].

​​​​​​​Insert 2 with cost min(1, 4) = 1, now nums = [1,2,2,3,3,3,4].

​​​​​​​Insert 1 with cost min(0, 6) = 0, now nums = [1,1,2,2,3,3,3,4].

​​​​​​​Insert 2 with cost min(2, 4) = 2, now nums = [1,1,2,2,2,3,3,3,4].

The total cost is 0 + 0 + 0 + 0 + 1 + 0 + 1 + 0 + 2 = 4.

 

Constraints:

    <li><code>1 &lt;= instructions.length &lt;= 10<sup>5</sup></code></li>
    
    <li><code>1 &lt;= instructions[i] &lt;= 10<sup>5</sup></code></li>
    

Solutions

Solution 1

PythonJavaC++GoTypeScript
class BinaryIndexedTree: def __init__(self, n): self.n = n self.c = [0] * (n + 1) def update(self, x: int, v: int): while x <= self.n: self.c[x] += v x += x & -x def query(self, x: int) -> int: s = 0 while x: s += self.c[x] x -= x & -x return s class Solution: def createSortedArray(self, instructions: List[int]) -> int: m = max(instructions) tree = BinaryIndexedTree(m) ans = 0 mod = 10**9 + 7 for i, x in enumerate(instructions): cost = min(tree.query(x - 1), i - tree.query(x)) ans += cost tree.update(x, 1) return ans % mod(code-box)

Solution 2

PythonJavaC++
class Node: def __init__(self): self.l = 0 self.r = 0 self.v = 0 class SegmentTree: def __init__(self, n): self.tr = [Node() for _ in range(4 * n)] self.build(1, 1, n) def build(self, u, l, r): self.tr[u].l = l self.tr[u].r = r if l == r: return mid = (l + r) >> 1 self.build(u << 1, l, mid) self.build(u << 1 | 1, mid + 1, r) def modify(self, u, x, v): if self.tr[u].l == x and self.tr[u].r == x: self.tr[u].v += v return mid = (self.tr[u].l + self.tr[u].r) >> 1 if x <= mid: self.modify(u << 1, x, v) else: self.modify(u << 1 | 1, x, v) self.pushup(u) def pushup(self, u): self.tr[u].v = self.tr[u << 1].v + self.tr[u << 1 | 1].v def query(self, u, l, r): if self.tr[u].l >= l and self.tr[u].r <= r: return self.tr[u].v mid = (self.tr[u].l + self.tr[u].r) >> 1 v = 0 if l <= mid: v = self.query(u << 1, l, r) if r > mid: v += self.query(u << 1 | 1, l, r) return v class Solution: def createSortedArray(self, instructions: List[int]) -> int: n = max(instructions) tree = SegmentTree(n) ans = 0 for num in instructions: a = tree.query(1, 1, num - 1) b = tree.query(1, 1, n) - tree.query(1, 1, num) ans += min(a, b) tree.modify(1, num, 1) return ans % int((1e9 + 7))(code-box)

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