# Find whether it is possible to make array elements same using one external number

Given an Array, three operations can be performed using any external number x.

- Add x to an element once
- Subtract x from an element once
- Perform no operation on the element
- Count of unique elements is 1. Answer is YES with x = 0
- Count of unique elements is 2. Answer is YES with x = Difference of two unique elements.
- Count of unique elements is 3.
- If difference between mid and max is same as difference between mid and min, answer is YES with x = difference between mid and max or mid and min.
- Otherwise answer is NO.

- Find the minimum number of elements that should be removed to make an array good
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- Find integers that divides maximum number of elements of the array
- Make alphabets using the elements of an array
- Remove elements to make array sorted
- Minimum gcd operations to make all array elements one
- Make all elements of an array equal with the given operation

Find whether there exists a number X, such that if the above operations are performed with the number X, the resulting array has equal elements.

If the number exists, print “YES” and the value, space separated, else print “NO”

**Examples:**

Input :[1, 1, 3, 5, 5]Output :YES, x = 2Explanation :The number 2 can be added to the first two elements and can be subtracted from the last two elements to obtain a common element 3 throughout the arrayInput :[1, 3, 5, 7, 9]Output :NO

The idea is to form groups of unique elements from given array. Following cases arise :

In Python, we can quickly find unique elements using set in Python.

`# Program in python 2.x to find an element X ` `# that can be used to operate on an array and ` `# get equal elements ` ` ` `# Prints "YES" and an element x if we can ` `# equalize array using x. Else prints "NO" ` `def` `canEqualise(array): ` ` ` ` ` `# We all the unique elements (using set ` ` ` `# function). Then we sort unique elements. ` ` ` `uniques ` `=` `sorted` `(` `set` `(array)) ` ` ` ` ` `# if there are only 1 or 2 unique elements, ` ` ` `# then we can add or subtract x from one of them ` ` ` `# to get the other element ` ` ` `if` `len` `(uniques) ` `=` `=` `1` `: ` ` ` `print` `(` `"YES "` `+` `"0"` `) ` ` ` `elif` `len` `(uniques) ` `=` `=` `2` `: ` ` ` `print` `(` `"YES "` `+` `str` `(uniques[` `1` `] ` `-` `uniques[` `0` `])) ` ` ` ` ` `# If count of unique elements is three, then ` ` ` `# difference between the middle and minimum ` ` ` `# should be same as difference between maximum ` ` ` `# and middle ` ` ` `elif` `len` `(uniques) ` `=` `=` `3` `: ` ` ` `if` `uniques[` `2` `] ` `-` `uniques[` `1` `] ` `=` `=` `uniques[` `1` `] ` `-` `uniques[` `0` `]: ` ` ` `X ` `=` `uniques[` `2` `] ` `-` `uniques[` `1` `] ` ` ` `print` `(` `"YES "` `+` `str` `(X)) ` ` ` `else` `: ` ` ` `print` `(` `"NO"` `) ` ` ` ` ` `# if there are more than three unique elements, then ` ` ` `# we cannot add or subtract the same value from all ` ` ` `# the elements. ` ` ` `else` `: ` ` ` `print` `(` `"NO"` `) ` ` ` `# Driver code ` `array ` `=` `[` `55` `, ` `52` `, ` `52` `, ` `49` `, ` `52` `] ` `canEqualise(array) ` |

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Output:

YES 3

This code has complexity **O(n log n)**

The same problem could be extended to ask for two numbers required to equalize the array. Following the same process, we would require 5 unique elements in the array to require two numbers to equalize the array. So to require n numbers to equalize an array, we would require (2n + 1) unique elements in the array.

This article is contributed by **Deepak Srivatsav**. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

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