chore: file refactor, imported zio

next steps are running the threads multithreaded  and measuring for
errors

1 files changed, 0 insertions, 64 deletions

diff --git a/src/main/scala/com/nsrddyn/ALU/Prime.scala b/src/main/scala/com/nsrddyn/ALU/Prime.scala
deleted file mode 100644
index a6c7d15..0000000
--- a/src/main/scala/com/nsrddyn/ALU/Prime.scala
+++ /dev/null
@@ -1,64 +0,0 @@
-package com.nsrddyn.alu
-import com.nsrddyn.alu.Prime
-import com.nsrddyn.tools.Benchmark
-import com.nsrddyn.test
-
-class Prime() extends  {
-
-  /*
-   * Calculate all primes up to limit
-   * This should stress the ALU in someway,
-   * doing this in a predictable manner, 
-   * will hopefully keep the cpu pipeline busy
-   * and that way stress the branch predictor
-   *
-   * math.sqrt(n) => a prime number has 2 factors, one of the factors 
-   * of the prime numbers has to be smaller then n 
-   * after that we check if the number is whole number and thereby checking if its a prime
-   *
-   */
-
-
-  /*
-   * TODO: I did the countrary of what i wanted to accieve with the is prime function
-   *       We want the function to be less optimized so that the CPU has more work == more stress 
-   */
-
-
-  def isPrime(n: Int): Boolean = {
-    if n <= 1 then false
-    else !(2 to math.sqrt(n).toInt).exists(i => n % i  == 0)
-
-
-  }
-
-  def run(n: Int, result: Boolean): Unit = {
-
-    for i <- 0 to n do if isPrime(i) == result then println("true") else println("false") 
-  }
-
-
-}
-
-
-
-
-class PrimeRunner extends Workload {
-
-  def run(threads: Int): Unit = {
-
-    val pr = new Prime()
-    val br = new Benchmark()
-
-    /*
-     * test cases
-     *
-     * 7919 true
-     * 2147483647 false
-     */
-
-    val time = pr.run(7919, true)
-    println(time)
-
-  } 
-}