0052【Edabit ★☆☆☆☆☆】Learn Lodash: _.drop, Drop the First Elements of an Array

0052【Edabit ★☆☆☆☆☆】Learn Lodash: _.drop, Drop the First Elements of an Array

arrays

Instructions

According to the lodash documentation, _.drop creates a slice of an array with n elements dropped from the beginning.

Your challenge is to write your own version using vanilla JavaScript.

Examples
javascript 复制代码
drop([1, 2, 3], 1) // [2, 3]
drop([1, 2, 3], 2) // [3]
drop([1, 2, 3], 5) // []
drop([1, 2, 3], 0) // [1, 2, 3]
Notes
  • Do not attempt to import lodash; you are simply writing your own version.
Solutions
javascript 复制代码
function drop(arr, val = 1) {
    while(val-->0){
        arr.shift();
    }
    return arr;
}
TestCases
javascript 复制代码
let Test = (function(){
    return {
        assertEquals:function(actual,expected){
            if(actual !== expected){
                let errorMsg = `actual is ${actual},${expected} is expected`;
                throw new Error(errorMsg);
            }
        },
        assertSimilar:function(actual,expected){
            if(actual.length != expected.length){
                throw new Error(`length is not equals, ${actual},${expected}`);
            }
            for(let a of actual){
                if(!expected.includes(a)){
                    throw new Error(`missing ${a}`);
                }
            }
        }
    }
})();

Test.assertSimilar(drop([1, 2, 3], 2), [3])
Test.assertSimilar(drop([1, 2, 3], 5), [])
Test.assertSimilar(drop([1, 2, 3], 0), [1, 2, 3])
Test.assertSimilar(drop(["banana", "orange", "watermelon", "mango"], 2), ["watermelon", "mango"])
Test.assertSimilar(drop([], 2), [])
相关推荐
计算机毕业设计木哥几秒前
计算机毕业设计选题推荐:基于SpringBoot和Vue的爱心公益网站
java·开发语言·vue.js·spring boot·后端·课程设计
ANnianStriver2 分钟前
智谱大模型实现文生视频案例
java·aigc
Q741_1473 分钟前
C++ 面试基础考点 模拟题 力扣 38. 外观数列 题解 每日一题
c++·算法·leetcode·面试·模拟
普通网友13 分钟前
KUD#73019
java·php·程序优化
IT_陈寒16 分钟前
Redis 性能翻倍的 5 个隐藏技巧,99% 的开发者都不知道第3点!
前端·人工智能·后端
番茄Salad17 分钟前
自定义Spring Boot Starter项目并且在其他项目中通过pom引入使用
java·spring boot
W_chuanqi19 分钟前
RDEx:一种效果驱动的混合单目标优化器,自适应选择与融合多种算子与策略
人工智能·算法·机器学习·性能优化
街尾杂货店&24 分钟前
css word属性
前端·css
程序员三明治29 分钟前
详解Redis锁误删、原子性难题及Redisson加锁底层原理、WatchDog续约机制
java·数据库·redis·分布式锁·redisson·watchdog·看门狗
L_090733 分钟前
【Algorithm】二分查找算法
c++·算法·leetcode