zoukankan      html  css  js  c++  java
  • 1428. Leftmost Column with at Least a One

    package LeetCode_1428
    
    /**
     * 1428. Leftmost Column with at Least a One
     * (locked by leetcode)
    (This problem is an interactive problem.)
    
    A binary matrix means that all elements are 0 or 1. For each individual row of the matrix, this row is sorted in non-decreasing order.
    Given a row-sorted binary matrix binaryMatrix, return leftmost column index(0-indexed) with at least a 1 in it. If such index doesn't exist, return -1.
    You can't access the Binary Matrix directly.
    
    You may only access the matrix using a BinaryMatrix interface:
    BinaryMatrix.get(row, col) returns the element of the matrix at index (row, col) (0-indexed).
    BinaryMatrix.dimensions() returns a list of 2 elements [rows, cols], which means the matrix is rows * cols.
    
    Submissions making more than 1000 calls to BinaryMatrix.get will be judged Wrong Answer.
    Also, any solutions that attempt to circumvent the judge will result in disqualification.
    For custom testing purposes you're given the binary matrix mat as input in the following four examples. You will not have access the binary matrix directly.
    
    Example 1:
    Input: mat = [[0,0],[1,1]]
    Output: 0
     * */
    
    class BinaryMatrix {
        /*
            [[0,0,0],
             [0,1,0],
             [0,1,1]]
        * */
        private val ROW = 3
        private val COL = 3
        private val matrix = Array(ROW) { IntArray(COL) }
    
        init {
            //For each individual row of the matrix, this row is sorted in non-decreasing order.
            matrix[0] = intArrayOf(0, 1, 1)
            matrix[1] = intArrayOf(0, 0, 0)
            matrix[2] = intArrayOf(0, 0, 1)
        }
    
        fun get(row: Int, col: Int): Int {
            return matrix[row][col]
        }
    
        fun dimensions(): List<Int> {
            val list = ArrayList<Int>(2)
            list.add(ROW)
            list.add(COL)
            return list
        }
    
    }
    
    class Solution {
        fun leftMostColumnWithOne(binaryMatrix: BinaryMatrix): Int {
            /*
            * method 1: binary search, Time complexity:O(row*log col)
            * */
            val list = binaryMatrix.dimensions()
            val rows = list.get(0)
            val cols = list.get(1)
            var minCol = Int.MAX_VALUE
            for (row in 0 until rows) {
                minCol = Math.min(minCol, findFirstOne(row, cols, binaryMatrix))
            }
            return if (minCol == Int.MAX_VALUE) -1 else minCol
        }
    
        private fun findFirstOne(row: Int, cols: Int, binaryMatrix: BinaryMatrix): Int {
            var left = 0
            var right = cols - 1
            while (left <= right) {
                val mid = (left + right) / 2
                if (binaryMatrix.get(row, mid) == 1) {
                    //if found out 1 in middle, we continue search left side, because we need find the left most one
                    right = mid - 1
                } else {
                    left = mid + 1
                }
            }
            return left
        }
    }
  • 相关阅读:
    管理 node 版本,选择 nvm 还是 n?
    JDBC性能优化方案
    JDBC基础-setFetchSize方法
    JDBC的fetchsize和maxrows
    正确使用MySQL JDBC setFetchSize()方法解决JDBC处理大结果
    10种简单的Java性能优化
    35+ 个 Java 代码性能优化总结
    一线架构师带你玩性能优化
    诊断Java代码中常见的数据库性能热点问题应该这么做!
    十个 JDBC 的最佳实践
  • 原文地址:https://www.cnblogs.com/johnnyzhao/p/12997224.html
Copyright © 2011-2022 走看看