Count Elements Greater Than Previous Average

Python specific instructions:

Complete the 'countResponseTimeRegressions' function below.

The function is expected to return an INTEGER.

The function accepts INTEGER_ARRAY responseTimes as parameter.

Printing Vs Returning the result makes a difference to their test harness. Lesson learnt.

Count_Elements_Greater_Than_Previous_Average https://www.hackerrank.com/contests/software-engineer-prep-kit/challenges/count-elements-greater-than-previous-average/problem

Given an array of positive integers, return the number of elements that are strictly greater than the average of all previous elements. Skip the first element.

Example

Input responseTimes = [100, 200, 150,300]

Output 2

Explanation

• Day 0: 100 (no previous days, skip)
• Day 1: 200 > average(100) = 100 → count = 1
• Day 2: 150 vs average(100, 200) = 150 → not greater → count = 1
• Day 3: 300 > average(100, 200, 150) = 150 → count = 2 Return 2.

Input Format The first line contains an integer n (0 ≤ n ≤ 1000), the number of days. If n > 0, the next n lines contains an integer representing responseTimes[i]. If n = 0, the second line is omitted or empty.

Example 4 100 200 150 300

Here 4 is the length of array, followed by the elements of array on each line.

Constraints 0 <= responseTimes.length <= 1000 1 <= responseTimes[i] <= 10^9 for 0 <= i < responseTimes.length

Output Format A single integer depicting the count of days.

Sample Input 0 0

Sample Output 0 0

Sample Input 1 1 100

Sample Output 1 0