feature: implemented some basic benchmarking logic & enum for pass and test

1 files changed, 0 insertions, 45 deletions

diff --git a/src/main/scala/com/nsrddyn/cpu/ALU/Prime.scala b/src/main/scala/com/nsrddyn/cpu/ALU/Prime.scala
deleted file mode 100644
index effedef..0000000
--- a/src/main/scala/com/nsrddyn/cpu/ALU/Prime.scala
+++ /dev/null
@@ -1,45 +0,0 @@
-package com.nsrddyn.alu
-
-
-import com.nsrddyn.tools.Benchmark
-
-class Prime() extends Benchmark:  
-
-  /*
-   * 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 = {
-    val start = measure()
-    if n <= 1 then false
-    else !(2 to math.sqrt(n).toInt).exists(i => n % i  == 0)
-  }
-
-  def run(n: Int): Unit = for i <- 0 to n do isPrime(i)
-
-
-  // TODO: implement measure methode to measure the time that it takes to find that prime number
-  def measure(): Long ={
-
-    val start = System.nanoTime()
-    System.nanoTime()
-    val end = System.nanoTime()
-    start - end
-  } 
-