I was asked to find the missing number from 1..N array.
For instance, for array: let numArr = [2,4,6,8,3,5,1,9,10]; the missing number is 7
let numArr=[2,4,6,8,3,5,1,9,10];
numArr.sort(function(a,b){ //sort numArr
return a-b;
});
let newNumArr=[];
for(let i=1;i<=10;i++){
newNumArr.push(i);
}
for(let i=0;i<newNumArr.length;i++){ //compare with new arr
if(newNumArr[i] !== numArr[i]){
console.log('The missing num is:'+newNumArr[i]); //The missing num is:7
break;
}
}
You can use MAP and FILTER to find out the missing number in seperate array
const numArr = [2, 4, 6, 8, 3, 5, 1, 9, 10];
const missingNumberArray = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].map(number => {
if (!numArr.includes(number)) {
return number;
}
}).filter(y => y !== undefined);
You can use the simple logic of sum of consecutive n numbers is n*(n+1)/2. Subtracting the sum of array numbers from above will give the missing number
let numArr=[2,4,6,8,3,5,1,9,10];
var sum = numArr.reduce((a,c) => a+c, 0);
// As the array contains n-1 numbers, here n will be numArr.length + 1
console.log(((numArr.length + 1) * (numArr.length + 2))/2 - sum);
It would be easier to use .find:
function findMissing(input) {
input.sort((a, b) => a - b);
const first = input[0];
return input.find((num, i) => first + i !== num) - 1;
}
console.log(findMissing([2, 4, 6, 8, 3, 5, 1, 9, 10]));
console.log(findMissing([3, 4, 5, 6, 8, 9, 2]));
(note that this also works for finding missing values from arrays that don't start at 1)
You can use XOR features.
XOR all the array elements, let the result of XOR be arr_xor.
XOR all numbers from 1 to n, let XOR be interval_xor .
XOR of arr_xor and interval_xor gives the missing number.
let numArr=[2,4,6,8,3,5,1,9,10];
function getMissingNo(arr){
arr = arr.sort()
n = arr.length
arr_xor = arr[0]
interval_xor = 1
for(i = 0; i < n; i++)
arr_xor ^= arr[i]
for( i = 0; i<n + 2; i++)
interval_xor ^= i
return arr_xor ^ interval_xor
}
console.log(getMissingNo(numArr));
Related
Given an array [[1, 7, 3, 8],[3, 2, 9, 4],[4, 3, 2, 1]],
how can I find the sum of its repeating elements? (In this case, the sum would be 10.)
Repeated values are - 1 two times, 3 three times, 2 two times, and 4 two times
So, 1 + 3 + 2 + 4 = 10
Need to solve this problem in the minimum time
There are multiple ways to solve this but time complexity is a major issue.
I try this with the recursion function
How can I optimize more
`
var uniqueArray = []
var sumArray = []
var sum = 0
function sumOfUniqueValue (num){
for(let i in num){
if(Array.isArray(num[i])){
sumOfUniqueValue(num[i])
}
else{
// if the first time any value will be there then push in a unique array
if(!uniqueArray.includes(num[i])){
uniqueArray.push(num[i])
}
// if the value repeats then check else condition
else{
// we will check that it is already added in sum or not
// so for record we will push the added value in sumArray so that it will added in sum only single time in case of the value repeat more then 2 times
if(!sumArray.includes(num[i])){
sumArray.push(num[i])
sum+=Number(num[i])
}
}
}
}
}
sumOfUniqueValue([[1, 7, 3, 8],[1, 2, 9, 4],[4, 3, 2, 7]])
console.log("Sum =",sum)
`
That's a real problem, I am just curious to solve this problem so that I can implement it in my project.
If you guys please mention the time it will take to complete in ms or ns then that would be really helpful, also how the solution will perform on big data set.
Thanks
I would probably use a hash table instead of an array search with .includes(x) instead...
And it's also possible to use a classical for loop instead of recursive to reduce call stack.
function sumOfUniqueValue2 (matrix) {
const matrixes = [matrix]
let sum = 0
let hashTable = {}
for (let i = 0; i < matrixes.length; i++) {
let matrix = matrixes[i]
for (let j = 0; j < matrix.length; j++) {
let x = matrix[j]
if (Array.isArray(x)) {
matrixes.push(x)
} else {
if (hashTable[x]) continue;
if (hashTable[x] === undefined) {
hashTable[x] = false;
continue;
}
hashTable[x] = true;
sum += x;
}
}
}
return sum
}
const sum = sumOfUniqueValue2([[1, 7, 3, 8],[[[[[3, 2, 9, 4]]]]],[[4, 3, 2, 1]]]) // 10
console.log("Sum =", sum)
This is probably the fastest way...
But if i could choose a more cleaner solution that is easier to understand then i would have used flat + sort first, chances are that the built in javascript engine can optimize this routes instead of running in the javascript main thread.
function sumOfUniqueValue (matrix) {
const numbers = matrix.flat(Infinity).sort()
const len = numbers.length
let sum = 0
for (let i = 1; i < len; i++) {
if (numbers[i] === numbers[i - 1]) {
sum += numbers[i]
for (i++; i < len && numbers[i] === numbers[i - 1]; i++);
}
}
return sum
}
const sum = sumOfUniqueValue2([[1, 7, 3, 8],[[[[[3, 2, 9, 4]]]]],[[4, 3, 2, 1]]]) // 10
console.log("Sum =", sum)
You could use an objkect for keeping trak of seen values, like
seen[value] = undefined // value is not seen before
seen[value] = false // value is not counted/seen once
seen[value] = true // value is counted/seen more than once
For getting a value, you could take two nested loops and visit every value.
Finally return sum.
const
sumOfUniqueValue = (values, seen = {}) => {
let sum = 0;
for (const value of values) {
if (Array.isArray(value)) {
sum += sumOfUniqueValue(value, seen);
continue;
}
if (seen[value]) continue;
if (seen[value] === undefined) {
seen[value] = false;
continue;
}
seen[value] = true;
sum += value;
}
return sum;
},
sum = sumOfUniqueValue([[1, 7, 3, 8], [3, 2, 9, 4], [4, 3, 2, 1]]);
console.log(sum);
Alternatively take a filter and sum the values. (it could be more performat with omitting same calls.)
const
data = [[1, 7, 3, 8], [3, 2, 9, 4, 2], [4, 3, 2, 1]],
sum = data
.flat(Infinity)
.filter((v, i, a) => a.indexOf(v) !== a.lastIndexOf(v) && i === a.indexOf(v))
.reduce((a, b) => a + b, 0);
console.log(sum);
You can flatten the array, filter-out single-instance values, and sum the result:
const data = [
[ 1, 7, 3, 8 ],
[ 3, 2, 9, 4 ],
[ 4, 3, 2, 1 ]
];
const numbers = new Set( data.flat(Infinity).filter(
(value, index, arr) => arr.lastIndexOf(value) != index)
);
const sum = [ ...numbers ].reduce((a, b) => a + b, 0);
Another approach could be the check the first and last index of the number in a flattened array, deciding whether or not it ought to be added to the overall sum:
let sum = 0;
const numbers = data.flat(Infinity);
for ( let i = 0; i < numbers.length; i++ ) {
const first = numbers.indexOf( numbers[ i ] );
const last = numbers.lastIndexOf( numbers[ i ] );
if ( i == first && i != last ) {
sum = sum + numbers[ i ];
}
}
// Sum of numbers in set
console.log( sum );
I have an Array, arr = [2,4,8,7,3,6] I want to make each element of it be summation when the result is 10 , then save the element it would be arranged to another array.
make the element that result is 10 close each other like 2 and 8, add to another element named arr2.
result i need : arr2[2,8,3,7,4,6]
my code :
const arr = [2, 4, 8, 7, 3, 6];
let arr2 = [];
for (let i = 0; i < arr.length(); i++) {
let Number1 = arr[i];
let Number2 = arr[(i + 1)];
if (Number1 + Number2 === 10) {
let element1 = arr.indexOf(Number1);
let element2 = arr.indexOf(Number2);
arr2.push(element1, element2);
}
console.log(arr2[i]);
}
someone can solve my problem please ?
If you need to create arr2 so that the items sum up to 10 you can make use of a simple map here:
const arr = [2, 4, 8, 7, 3, 6];
const arr2 = arr.map((item) => 10 - item)
console.log(arr2);
You should first loop through the array to create a dictionary of value to index, then loop the array again and lookup for the complement of the current value to the target. If it exist then yes you got the answer.
.filter(x => x > i) is to search for complement that has higher index than current one so that we will not get duplicated result pushed. For example input is [2, 8], you don't want to get [2, 8, 8, 2]
Here is my solution
const arr = [2, 4, 8, 7, 3, 6];
let arr2 = [];
function solution(target: number, input: number[]): number[] {
const result: number[] = [];
const lookUpMap: {[key: number]: number[]} = {};
let i = 0;
for (const each of input) {
if (!(each in lookUpMap)) {
lookUpMap[each] = [];
}
lookUpMap[each].push(i);
i++;
}
i = 0;
for (const each of input) {
const difference = target - each;
if (difference in lookUpMap) {
const complementIndex = lookUpMap[difference].filter(x => x > i)[0];
if (complementIndex) {
result.push(input[i], input[complimentingIndex]);
}
}
i++;
}
return result;
}
arr2 = solution(10, arr);
console.log(arr2);
Assuming a valid result can be created for the given arr. A fairly simple solution would be to sort the array first. Then step through half the array and take the element on the current index, and the element on the inverse index (length - 1 - index). And push() those both in the resulting array.
So here in steps, given you have the following array:
[2, 4, 8, 7, 3, 6]
You sort it:
[2, 3, 4, 6, 7, 8]
Then you step through half the indexes and take each element, and the element on the inverse index.
[2, 3, 4, 6, 7, 8]
// \ \ \/ / /
// \ ------ / -> [2, 8, 3, 7, 4, 6]
// ----------
const arr = [2, 4, 8, 7, 3, 6];
const sortedArr = Array.from(arr).sort((a, b) => a - b); // ascending
const length = sortedArr.length;
const nPairs = length / 2;
const arr2 = [];
for (let i = 0; i < nPairs; ++i) {
arr2.push(
sortedArr[i],
sortedArr[length - 1 - i],
);
}
// or if you want a more functional approach:
// const arr2 = Array.from({ length: nPairs }).flatMap((_, i) => [sortedArr[i], sortedArr[length - 1 - i]]);
console.log(arr2);
Do note that this is probably not the fastest solution, because sorting is non-linear.
Obviously this solution does not work if an invalid input is given, like [7,2,1,8] which can never produce a valid output.
I'm solving the following kata:
Given an input of an array of digits, return the array with each digit incremented by its position in the array: the first digit will be incremented by 1, the second digit by 2, etc. Make sure to start counting your positions from 1 (and not 0).
Your result can only contain single digit numbers, so if adding a digit with it's position gives you a multiple-digit number, only the last digit of the number should be returned.
Notes:
return an empty array if your array is empty
arrays will only contain numbers so don't worry about checking that
Examples
[1, 2, 3] --> [2, 4, 6] # [1+1, 2+2, 3+3]
[4, 6, 9, 1, 3] --> [5, 8, 2, 5, 8] # [4+1, 6+2, 9+3, 1+4, 3+5]
# 9+3 = 12 --> 2
My code:
const incrementer = (arr) => {
if (arr === []) {
return []
}
let newArr = []
for (let i = 0; i <= arr.length; i++) {
let result = arr[i] + (i + 1)
newArr.push(result)
if (newArr[i] > 9 ) {
let singleDigit = Number(newArr[i].toString().split('')[1])
newArr.push(singleDigit)
}
}
const filteredArr = newArr.filter(el => el >= 0 && el <= 9)
return filteredArr
}
I can't seem to pass the latest test case, which is the following:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 9, 9, 9, 8]), [2, 4, 6, 8, 0, 2, 4, 6, 8, 9, 0, 1, 2, 2]
I keep getting back the whole correct array up until the second 0, after which the other numbers, 1,2,2 are missing from the solution. What am I doing wrong?
The problem in your code is that the filter only runs at the end, and so when you have done a double push in one iteration (once with the value that has more than one digit, and once with just the last digit), the next iteration will no longer have a correct index for the next value that is being pushed: newArr[i] will not be that value.
It is better to correct the value to one digit before pushing it to your new array.
Moreover, you can make better use of the power of JavaScript:
It has a nice map method for arrays, which is ideal for this purpose
Use modulo arithmetic to get the last digit without having to create a string first
Here is the proposed function:
const incrementer = (arr) => arr.map((val, i) => (val + i + 1) % 10);
console.log(incrementer([1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 9, 9, 9, 8]));
... so if adding a digit with it's position gives you a multiple-digit number, only the last digit of the number should be returned.
So if the number is 12, it expects only 2 to be added to the array.
So your code should be:
if (newArr[i] > 9)
{
newArr[i] = newArr[i] % 10; // remainder of newArr[i] / 10
}
const incrementer = (arr) => {
if (arr.length === 0) { // CHANGE HERE
return [];
}
let newArr = []
for (let i = 0; i <= arr.length; i++) {
let result = arr[i] + (i + 1)
newArr.push(result)
if (newArr[i] > 9 ) {
newArr[i] = newArr[i] % 10; // CHANGE HERE
}
}
const filteredArr = newArr.filter(el => el >= 0 && el <= 9)
return filteredArr
}
console.log(incrementer([2, 4, 6, 8, 0, 2, 4, 6, 8, 9, 0, 1, 2, 2]));
console.log(incrementer([1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 9, 9, 9, 8]));
Please see below code.
const incrementer = arr => {
if (arr === []) {
return [];
}
let newArr = [];
for (let i = 0; i < arr.length; i++) {
let result = arr[i] + (i + 1);
// newArr.push(result);
if (result > 9) {
let singleDigit = Number(result.toString().split("")[1]);
newArr.push(singleDigit);
} else {
newArr.push(result);
}
}
// const filteredArr = newArr.filter(el => el >= 0 && el <= 9);
return newArr;
};
console.log(incrementer([1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 9, 9, 9, 8]))
const incrementer = (arr) => {
if (arr === []) {
return []
}
return arr.map((number, index) => (number + index + 1) % 10);
}
Doing the needed additions in (number + index + 1) and % 10 operation will get the last digit.
My function should return the missing element in a given array range.
So i first sorted the array and checked if the difference between i and i+1 is not equal to 1, i'm returning the missing element.
// Given an array A such that:
// A[0] = 2
// A[1] = 3
// A[2] = 1
// A[3] = 5
// the function should return 4, as it is the missing element.
function solution(A) {
A.sort((a,b) => {
return b<a;
})
var len = A.length;
var missing;
for( var i = 0; i< len; i++){
if( A[i+1] - A[i] >1){
missing = A[i]+1;
}
}
return missing;
}
I did like above, but how to write it more efficiently??
You could use a single loop approach by using a set for missing values.
In the loop, delete each number from the missing set.
If a new minimum value is found, all numbers who are missing are added to the set of missing numbers, except the minimum, as well as for a new maximum numbers.
The missing numbers set contains at the end the result.
function getMissing(array) {
var min = array[0],
max = array[0],
missing = new Set;
array.forEach(v => {
if (missing.delete(v)) return; // if value found for delete return
if (v < min) while (v < --min) missing.add(min); // add missing min values
if (v > max) while (v > ++max) missing.add(max); // add missing max values
});
return missing.values().next().value; // take the first missing value
}
console.log(getMissing([2, 3, 1, 5]));
console.log(getMissing([2, 3, 1, 5, 4, 6, 7, 9, 10]));
console.log(getMissing([3, 4, 5, 6, 8]));
Well, from the question (as it's supposed to return a single number) and all the existing solution (examples at least), it looks like list is unique. For that case I think we can sumthe entire array and then subtracting with the expected sum between those numbers will generate the output.
sum of the N natural numbers
1 + 2 + ....... + i + ... + n we can evaluate by n * (n+1) / 2
now assume, in our array min is i and max is n
so to evaluate i + (i+1) + ..... + n we can
A = 1 + 2 + ..... + (i-1) + i + (i+1) + .... n (i.e. n*(n+1)/2)
B = 1 + 2 + ..... + (i-1)
and
C = A - B will give us the sum of (i + (i+1) + ... + n)
Now, we can iterate the array once and evaluate the actual sum (assume D), and C - D will give us the missing number.
Let's create the same with each step at first (not optimal for performance, but more readable) then we will try to do in a single iteration
let input1 = [2, 3, 1, 5],
input2 = [2, 3, 1, 5, 4, 6, 7, 9, 10],
input3 = [3, 4, 5, 6, 8];
let sumNatural = n => n * (n + 1) / 2;
function findMissing(array) {
let min = Math.min(...array),
max = Math.max(...array),
sum = array.reduce((a,b) => a+b),
expectedSum = sumNatural(max) - sumNatural(min - 1);
return expectedSum - sum;
}
console.log('Missing in Input1: ', findMissing(input1));
console.log('Missing in Input2: ', findMissing(input2));
console.log('Missing in Input3: ', findMissing(input3));
Now, lets try doing all in a single iteration (as we were iterating 3 times for max, min and sum)
let input1 = [2, 3, 1, 5],
input2 = [2, 3, 1, 5, 4, 6, 7, 9, 10],
input3 = [3, 4, 5, 6, 8];
let sumNatural = n => n * (n + 1) / 2;
function findMissing(array) {
let min = array[0],
max = min,
sum = min,
expectedSum;
// assuming the array length will be minimum 2
// in order to have a missing number
for(let idx = 1;idx < array.length; idx++) {
let each = array[idx];
min = Math.min(each, min); // or each < min ? each : min;
max = Math.max(each, max); // or each > max ? each : max;
sum+=each;
}
expectedSum = sumNatural(max) - sumNatural(min - 1);
return expectedSum - sum;
}
console.log('Missing in Input1: ', findMissing(input1));
console.log('Missing in Input2: ', findMissing(input2));
console.log('Missing in Input3: ', findMissing(input3));
Instead of sorting, you could put each value into a Set, find the minimum, and then iterate starting from the minimum, checking if the set has the number in question, O(N). (Sets have guaranteed O(1) lookup time)
const input1 = [2, 3, 1, 5];
const input2 = [2, 3, 1, 5, 4, 6, 7, 9, 10];
const input3 = [3, 4, 5, 6, 8];
function findMissing(arr) {
const min = Math.min(...arr);
const set = new Set(arr);
return Array.from(
{ length: set.size },
(_, i) => i + min
).find(numToFind => !set.has(numToFind));
}
console.log(findMissing(input1));
console.log(findMissing(input2));
console.log(findMissing(input3));
If the array is items and the difference between missing and present diff is 1:
const missingItem = items => [Math.min(...items)].map(min => items.filter(x =>
items.indexOf(x-diff) === -1 && x !== min)[0]-diff)[0]
would give complexity of O(n^2).
It translates to: find the minimum value and check if there isn't a n-diff value member for every value n in the array, which is also not the minimum value. It should be true for any missing items of size diff.
To find more than 1 missing element:
([Math.min(...items)].map(min => items.filter(x =>
items.indexOf(x-diff) === -1 && x !== min))[0]).map(x => x-diff)
would give O((m^2)(n^2)) where m is the number of missing members.
Found this old question and wanted to take a stab at it. I had a similar thought to https://stackoverflow.com/users/2398764/koushik-chatterjee in that I think you can optimize this by knowing that there's always only going to be one missing element. Using similar methodology but not using a max will result in this:
function getMissing(arr) {
var sum = arr.reduce((a, b) => a + b, 0);
var lowest = Math.min(...arr);
var realSum = (arr.length) * (arr.length + 1) / 2 + lowest * arr.length;
return realSum - sum + lowest;
}
With the same inputs as above. I ran it in jsperf on a few browsers and it is faster then the other answers.
https://jsperf.com/do-calculation-instead-of-adding-or-removing.
First sum everything, then calculate the lowest and calculate what the sum would be for integers if that happened to be the lowest. So for instance if we have 2,3,4,5 and want to sum them that's the same as summing 0,1,2,3 and then adding the lowest number + the amount of numbers in this case 2 * 4 since (0+2),(1+2),(2+2),(3+2) turns it back into the original. After that we can calculate the difference but then have to increase it once again by the lowest. To offset the shift we did.
You can use while loop as well, like below -
function getMissing(array) {
var tempMin = Math.min(...array);
var tempMax = tempMin + array.length;
var missingNumber = 0;
while(tempMin <= tempMax){
if(array.indexOf(tempMin) === -1) {
missingNumber = tempMin;
}
tempMin++;
}
return missingNumber;
}
console.log(getMissing([2, 3, 1, 5]));
console.log(getMissing([2, 3, 1, 5, 4, 6, 7, 9, 10]));
console.log(getMissing([3, 4, 5, 6, 8]));
My approach is based on in place sorting of the array which is O(N) and without using any other data structure.
Find the min element in the array.
Sort in place.
Again loop the array and check if any element is misplaced, that is the answer!
function getMissing(ar) {
var mn = Math.min(...ar);
var size = ar.length;
for(let i=0;i<size;i++){
let cur = ar[i];
// this ensures each element is in its right place
while(cur != mn +i && (cur - mn < size) && cur != ar[cur- mn]) {
// swap
var tmp = cur;
ar[i] = ar[cur-mn];
ar[cur-mn] = tmp;
}
}
for(let i=0; i<size; i++) {
if(ar[i] != i+mn) return i+mn;
}
}
console.log(getMissing([2, 3, 1, 5]));
console.log(getMissing([2, 3, 1, 5, 4, 6, 7, 9, 10]));
console.log(getMissing([3, 4, 5, 6, 8]));
Hello I want to check if 5 random numbers in array are ascending.
Example from this:
var array = [2, 5, 5, 4, 7, 3, 6];
to this:
array = [2,3,4,5,6];
and of course if higher sequence is possible:
array = [3,4,5,6,7];
Is there any shortcut for this kind of sorting in jQuery?
Thanks in advance.
var array = [2, 5, 5, 4, 7, 3, 6];
//first convert into an object literal for fast lookups.
var ao = {};
array.forEach(function (e) { ao[e] = true; });
//now loop all in array, and then loop again for 5
array.forEach(function (num) {
var count = 0, l;
for (l = 0; l < 5; l ++) {
if (ao[num + l]) count ++;
}
if (count === 5) {
//found, push into array just to show nice in console
var nums = [];
for (l = 0; l < 5; l ++) {
nums.push(num + l);
}
console.log(nums.join(','));
}
});
I think, this will do the trick:
get unique members
sort them
slice last 5
(or reverse, slice first 5, reverse) like I did, since your array could be less then 5.
If resulting array has length of 5 then you have a positive answer.
console.log($.unique([2,5,5,4,7,3,6]).sort().reverse().slice(0,5).reverse())
You might do as follows;
function checkStraight(a){
var s = [...new Set(a)].sort((a,b) => a-b);
return s.length >= 5 && s.reduce((p,c,i,a) => c - a[i-1] === 1 ? ++p
: p < 5 ? 1
: p , 1) > 4;
}
var array = [2, 5, 5, 4, 7, 3, 6, 9],
result = checkStraight(array);
console.log(result);