Assignment 5 · Sensor Array Analytics — 1-D Arrays

Module 9 (L17–L18) · 40 marks · due end of Week 10 Outcomes: CLO-6 (PF-9.x)

A weather station logs hourly readings. You will compute a small analytics report with fixed-size arrays and clean function decomposition.

Input

First an integer n (1 ≤ n ≤ 1000): the number of readings. Then n integers −50..60 (°C). Any reading outside −50..60 is skipped (still consumes input) and counted as invalid; n is the count of all readings, valid or not.

Report (exact labels)

valid : V
invalid: I
min   : m
max   : M
mean  : x.x (1 decimal)
above : A        (strictly greater than mean, among valid readings)

If there are no valid readings, print the min/max/mean/above block as n/a lines instead (four lines, each label followed by n/a).

Required functions

int readReadings(int a[], int cap); — fills a, returns valid count (invalid skipped but counted via reference or second channel).
int minOf(const int a[], int n); / int maxOf(const int a[], int n); — preconditions n ≥ 1.
double meanOf(const int a[], int n);
int countAbove(const int a[], int n, double threshold);

Sample run

Input 7 | 20 -99 22 19 999 22 21 → -99 and 999 invalid →

valid : 5
invalid: 2
min   : 19
max   : 22
mean  : 20.8
above : 3

(mean of 20,22,19,22,21 = 20.8; above = 22,22,21 → 3)

Constraints

Fixed array int readings[1000]; — no vectors yet (vectors enter in M14).
Every function takes the array with a const correctness where it does not modify.
No repeated passes over the data beyond the four required analytics (one fill, then each function once).

Deliverables

sensors.cpp (contract, zero warnings) · test_table.md — all-invalid input, single valid, boundary values −50/60, mean exactly integer (e.g., 20 20 → 20.0), n = 1000 (fill test) · postmortem.md (10 marks).