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alias ip='ifconfig | grep "inet " | grep -v 127.0.0.1 | cut -d\ -f2' |
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class Node { | |
constructor(data) { | |
this.data = data; | |
this.children = []; | |
} | |
add(data) { | |
this.children.push(new Node(data)); | |
} | |
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/* | |
Return the largest value in an array of non-negative integers | |
*/ | |
function largestInt(arr) { | |
if (arr.length === 0) { | |
return -1; | |
} | |
return arr.reduce(comparator); |
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/* | |
Write a function that determines whether two integers are equal without using any comparison operators. | |
Use the bitwise XOR operator. | |
https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/Bitwise_Operators#Bitwise_XOR | |
Using XOR, if any of the bits are different, a 1 is returned, otherwise, a 0 is returned. | |
*/ | |
function isEqual(n1, n2) { | |
return (n1 ^ n2) === 0; |
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/* | |
Linked List example. | |
*/ | |
/** | |
* Node class | |
* Contains two properties and no methods. | |
* data - The data to be stored in a single node. | |
* next - The reference to the next node in the chain. | |
*/ |
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * | |
* Create a Queue implementation using two stacks. Do not use an | |
* array inside the Queue class. Queue should implement add() and | |
* remove(). | |
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ | |
class Stack { | |
constructor() { | |
this.data = []; | |
} |
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * | |
* Solve some arbitrary problem using a queue. | |
* The interviewer has asked to provide a solution to a problem | |
* using a Queue as the data structure. Using the native Array | |
* in JavaScript with restricted access to its full list of methods | |
* is one possible solution. | |
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ | |
//Queues implement the FIFO method. First in, first out. | |
class Queue { |
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * | |
* Write a program to find a fibonacci number. | |
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ | |
// * * * * * * * * * * * * * * * * * * * * * * * * * * * | |
// Iterative solution | |
// O(n) Linear Runtime Complexity | |
// This is an alternative approach to solving fibonacci | |
// without recursion. However, this shoudn't be the | |
// final answer in an interview setting. |
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * | |
* Given an array of orders, find the top 3 customers with the | |
* highest lifetime value (those that spent the most over time). | |
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ | |
// * * * * * * * * * * * * * * * * * * * * * * * * * * * | |
// Start with the initial implementation. | |
// | |
// One approach to solving this task would be to create |
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/* | |
Use the module pattern to group together similar methods such as database services. | |
In the example below, the ItemDao (Data Access Object) simulates several functions | |
that interact with a database. | |
1. Use modules to encapsulate related functionality. | |
2. A module pattern at its core is an object literal. | |
3. When using the module in code, call the functions using the key/value syntax. | |
For example: itemDao.findOne(1); | |
4. Wrap the object into a function to create a closure for private variables. Examples |
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