Minimize_Amplitude_After_K_Removals.py

"""Minimize Amplitude After K Removals


You are given a list of integers nums, and an integer k.
Given that you must remove k elements in nums,
return the minimum max(nums) - min(nums) value we can achieve.

Constraints:-

1 ≤ n ≤ 100,000 where n is the length of nums
k < n

Approach :- we have to sort the list first and take a 'p' variable
in which it stores the length of the list after removing the k.
Taken an 'm' variable which stores the min possible max(nums)-min(nums)
firstly and needs to be changed when we get the less max(nums)-min(nums).
Now, take a for loop which is to be iterated from 0 to len(nums)-p+1 ,
during the for loop I will check the difference i+p-1'th term to the i'th term
when I get the lease min I will change the min value to it.
At the end will return the 'm'(min(max(nums)-min(nums)))"""


# function for the sum
def evaluate(nums , k) :

    nums = sorted(nums)

    # storing initial len(nums)-k
    p = len(nums) - k

    # initial max is stored in m
    m = nums[-1] - nums[0]

    i = 0

    while i < len(nums) - p + 1:

        # Actual process
        if nums[i + p - 1] - nums[i] < m:
            m = nums[i + p - 1] - nums[i]

        i += 1
    return m


if __name__ == "__main__":

    # input list
    list1 = [int(num) for num in input("Enter the list items : ").split()]

    # input the inp
    inp = int(input("Enter the number of items to be removed : "))

    # printing max possible from list
    print("The manimum Possible difference is : " , evaluate(list1 , inp))


TestCase = """
Input:-

nums = [84, 45, 2, 1, 894, 156, 68, 48]
k = 4

output:-
The manimum Possible difference is : 39

Time Complexity:  O(nlogn)
Space Complexity: O(1) """