Write a C++ program implementing a data pipeline processor utilizing multiple advanced lambda features (captures, mutable state, generic types, and STL predicates) to filter, scale, and aggregate transaction streams.
Scale factor F, followed by N transaction amounts.
Print scaled and filtered transactions, followed by accumulated total sum formatted to 2 decimal places.
1 <= N 0
2.0 5 10.5 -5.0 20.0 30.5 -10.0
Scaled: 21.00 40.00 61.00 Total: 122.00
Capstone project integrating mutable state tracking, capture scopes, generic auto parameters, and STL algorithm lambdas for full pipeline data processing.
#include <iostream>
#include <vector>
#include <algorithm>
#include <iomanip>
int main() {
double factor;
int n;
if (std::cin >> factor >> n) {
std::vector<double> tx(n);
for (int i = 0; i < n; i++) std::cin >> tx[i];
// Implement pipeline filtering, scaling using lambdas, and aggregation here
}
return 0;
}Embedded systems rely on efficient low-level programming to interact directly with hardware. In this course, you will learn how to write practical Embedded C programs used in real microcontroller-based systems. Rather than focusing only on theory, this course follows a practice-driven approach. Each lesson includes hands-on coding exercises that simulate real firmware development tasks used