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cleanup

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RePixelatedMC
2023-10-21 20:19:03 +02:00
parent 01016d1b14
commit f129742a41
1 changed files with 34 additions and 5 deletions
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39
src/main/java/com/volmit/iris/core/tools/IrisBenchmarking.java
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@@ -73,7 +73,7 @@ public class IrisBenchmarking {
// help
CompletableFuture<Void> future = CompletableFuture.runAsync(() -> {
BenchmarksCompleted++;
if (ServerOS.contains("Windows") && isRunningAsAdmin()){
if (ServerOS.contains("Windows") && isRunningAsAdmin()) {
WindowsDiskSpeed = true;
WindowsDiskSpeedTest();
} else {
@@ -118,7 +118,7 @@ public class IrisBenchmarking {
Iris.info("-----------------------------------------------------");
Iris.info("Currently Running: " + C.BLUE + currentRunning);
// Iris.info("Tasks: " + "Current Tasks: " + C.BLUE + currentTasks + C.WHITE + " / " + "Total Tasks: " + C.BLUE + totalTasks);
Iris.info("Benchmarks Completed: " + C.BLUE + BenchmarksCompleted + C.WHITE + " / " +"Total: " + C.BLUE + BenchmarksTotal);
Iris.info("Benchmarks Completed: " + C.BLUE + BenchmarksCompleted + C.WHITE + " / " + "Total: " + C.BLUE + BenchmarksTotal);
Iris.info("-----------------------------------------------------");
previousCompleted = BenchmarksCompleted;
@@ -150,7 +150,7 @@ public class IrisBenchmarking {
Iris.info("- Random String Sorting: " + calculateStringSorting + " Thousand Strings/Sec");
Iris.info("- Data Encryption: " + formatDouble(calculateDataEncryption) + " MBytes/Sec");
Iris.info("- Data Compression: " + formatDouble(calculateDataCompression) + " MBytes/Sec");
if(WindowsDiskSpeed) {
if (WindowsDiskSpeed) {
Iris.info("Disk Model: " + getDiskModel());
Iris.info(C.BLUE + "- Running with Windows System Assessment Tool");
Iris.info("- Sequential 64.0 Write: " + C.BLUE + formatDouble(avgWriteSpeedMBps) + " Mbps");
@@ -172,6 +172,7 @@ public class IrisBenchmarking {
Iris.info("- Total Paging Size: " + totalPageSize + " MB");
Iris.info("Duration: " + roundToTwoDecimalPlaces(elapsedTimeNs) + " Seconds");
}
public static long getMaxMemoryUsage() {
MemoryMXBean memoryMXBean = ManagementFactory.getMemoryMXBean();
MemoryUsage heapMemoryUsage = memoryMXBean.getHeapMemoryUsage();
@@ -181,17 +182,21 @@ public class IrisBenchmarking {
long maxMemoryUsageMB = (maxHeapMemory + maxNonHeapMemory) / (1024 * 1024);
return maxMemoryUsageMB;
}
public static void getServerOS() {
SystemInfo systemInfo = new SystemInfo();
OperatingSystem os = systemInfo.getOperatingSystem();
ServerOS = os.toString();
}
public static boolean isRunningAsAdmin() {
return ServerOS.contains("Windows") && isWindowsAdmin();
}
private static boolean isUnixAdmin() {
return System.getProperty("user.name").equals("root");
}
private static boolean isWindowsAdmin() {
String[] groups = (new com.sun.security.auth.module.NTSystem()).getGroupIDs();
for (String group : groups) {
@@ -201,6 +206,7 @@ public class IrisBenchmarking {
}
return false;
}
public static String getCPUModel() {
try {
SystemInfo systemInfo = new SystemInfo();
@@ -212,6 +218,7 @@ public class IrisBenchmarking {
return "Unknown CPU Model";
}
}
public static String getDiskModel() {
SystemInfo systemInfo = new SystemInfo();
List<HWDiskStore> diskStores = systemInfo.getHardware().getDiskStores();
@@ -222,9 +229,11 @@ public class IrisBenchmarking {
return "Unknown Disk Model";
}
}
public static void warningFallback(){
Iris.info(C.RED + "Using the FALLBACK method for " + C.DARK_RED + currentRunning + C.RED +" due to compatibility issues. Please note that this may result in less accurate results.");
public static void warningFallback() {
Iris.info(C.RED + "Using the FALLBACK method for " + C.DARK_RED + currentRunning + C.RED + " due to compatibility issues. Please note that this may result in less accurate results.");
}
private static String formatDouble(double value) {
return String.format("%.2f", value);
}
@@ -237,6 +246,7 @@ public class IrisBenchmarking {
long endTime = System.nanoTime();
return (endTime - startTime) / 1_000_000_000.0;
}
private static double calculateIntegerMath() {
currentRunning = "calculateIntegerMath";
final int numIterations = 1_000_000_000;
@@ -265,6 +275,7 @@ public class IrisBenchmarking {
double averageMopsPerSec = totalMopsPerSec / numRuns;
return averageMopsPerSec;
}
private static double calculateFloatingPoint() {
currentRunning = "calculateFloatingPoint";
long numIterations = 85_000_000;
@@ -288,6 +299,7 @@ public class IrisBenchmarking {
double averageMopsPerSec = totalMopsPerSec / numRuns;
return averageMopsPerSec;
}
private static double calculatePrimeNumbers() {
currentRunning = "calculatePrimeNumbers";
int primeCount;
@@ -315,6 +327,7 @@ public class IrisBenchmarking {
double averageMopsPerSec = totalMopsPerSec / numRuns;
return averageMopsPerSec;
}
private static double calculateStringSorting() {
currentRunning = "calculateStringSorting";
int stringCount = 1_000_000;
@@ -337,6 +350,7 @@ public class IrisBenchmarking {
double averageMopsPerSec = totalMopsPerSec / numRuns;
return averageMopsPerSec;
}
public static double calculateDataEncryption() {
currentRunning = "calculateDataEncryption";
int dataSizeMB = 100;
@@ -358,6 +372,7 @@ public class IrisBenchmarking {
double averageMBytesPerSec = totalMBytesPerSec / numRuns;
return averageMBytesPerSec;
}
private static byte[] performEncryption(byte[] data, int numRuns) {
byte[] key = "MyEncryptionKey".getBytes();
byte[] result = Arrays.copyOf(data, data.length);
@@ -368,6 +383,7 @@ public class IrisBenchmarking {
}
return result;
}
public static double calculateDataCompression() {
currentRunning = "calculateDataCompression";
int dataSizeMB = 500;
@@ -381,6 +397,7 @@ public class IrisBenchmarking {
return mbytesPerSec;
}
private static byte[] performCompression(byte[] data) {
Deflater deflater = new Deflater();
deflater.setInput(data);
@@ -396,6 +413,7 @@ public class IrisBenchmarking {
deflater.end();
return outputStream.toByteArray();
}
private static List<String> generateRandomStrings(int count, int length) {
SecureRandom random = new SecureRandom();
List<String> randomStrings = new ArrayList<>();
@@ -407,18 +425,22 @@ public class IrisBenchmarking {
});
return randomStrings;
}
private static byte[] generateRandomData(int size) {
SecureRandom random = new SecureRandom();
byte[] data = new byte[size];
random.nextBytes(data);
return data;
}
private static double roundToTwoDecimalPlaces(double value) {
return Double.parseDouble(String.format("%.2f", value));
}
private static double calculateCPUScore(long elapsedTimeNs) {
return 1.0 / (elapsedTimeNs / 1_000_000.0);
}
public static double calculateDiskSpeed() {
currentRunning = "calculateDiskSpeed";
String filePath = "benchmark.dat";
@@ -468,6 +490,7 @@ public class IrisBenchmarking {
avgReadSpeedMBps = calculateAverage(readSpeeds);
return 2;
}
public static void createTestFile(String filePath, int fileSizeMB) {
try {
File file = new File(filePath);
@@ -482,6 +505,7 @@ public class IrisBenchmarking {
e.printStackTrace();
}
}
public static void readTestFile(String filePath) {
try {
File file = new File(filePath);
@@ -494,15 +518,18 @@ public class IrisBenchmarking {
e.printStackTrace();
}
}
public static void deleteTestFile(String filePath) {
File file = new File(filePath);
file.delete();
}
public static double calculateDiskSpeedMBps(int fileSizeMB, long startTime, long endTime) {
double elapsedSeconds = (endTime - startTime) / 1_000_000_000.0;
double writeSpeed = (fileSizeMB / elapsedSeconds);
return writeSpeed;
}
public static double calculateAverage(double[] values) {
double sum = 0;
for (double value : values) {
@@ -510,6 +537,7 @@ public class IrisBenchmarking {
}
return sum / values.length;
}
public static void WindowsDiskSpeedTest() {
try {
@@ -538,6 +566,7 @@ public class IrisBenchmarking {
e.printStackTrace();
}
}
private static double extractSpeed(String line) {
String[] tokens = line.split("\\s+");
for (int i = 0; i < tokens.length; i++) {