InventivetalentDev

public void updateDisplay(boolean hard) {
		try {
			Object dataWatcher = Reflection.getNMSClass("Entity").getDeclaredMethod("getDataWatcher").invoke(Reflection.getHandle(getWrapped()));
			Object metaPacket = Reflection.getNMSClass("PacketPlayOutEntityMetadata").getConstructor(int.class, Reflection.getNMSClass("DataWatcher"), boolean.class).newInstance(getWrapped().getEntityId(), dataWatcher, false);

			//			int locX = (int) ((getWrapped().getLocation().getX()) * 32.0D);
			//			int locY = (int) ((getWrapped().getLocation().getY()) * 32.0D);
			//			int locZ = (int) ((getWrapped().getLocation().getZ()) * 32.0D);
			//
			//			byte yaw = (byte) ((int) (getWrapped().getLocation().getYaw() * 256.0F / 360.0F));

InventivetalentDev

{
  "000000000002.075": {
    "GUID": "000000000002.075",
    "Name": "Reaper",
    "Description": "Some speak of a black-robed terrorist known only as the Reaper. His identity and motives are a mystery. What is known is that where he appears, death follows.",
    "Gender": "Male",
    "Size": "Small",
    "IsNpc": 1,
    "SupportsAi": 1,
    "GalleryColor": {

InventivetalentDev

Find Recently Changed Files (newer than 2 days, at least 1MB) - Useful for finding rogue logs

find -type f -mtime -2 -size +1M

Find the Largest Files

du -a / | sort -n -r | head -n 50

Delete all Files Older than 30 days

find ./* -mtime +30 -exec rm {} \;

Remove n first lines of a log file

InventivetalentDev

function simplifyUnknownNbtValue(v) {
    let s;
    if (v.hasOwnProperty("tagMap")) {
        s = simplifyNbtMap(v);
    } else if (v.hasOwnProperty("tagList")) {
        s = simplifyNbtList(v);
    } else {
        s = simplifyNbtData(v);
    }
    return s;

InventivetalentDev

# SSD with Mobilenet v1 0.75 depth multiplied feature extractor, focal loss and
# quantized training.
# Trained on IIIT-Oxford pets, initialized from COCO detection checkpoint

# This config is TPU compatible

model {
  ssd {
    inplace_batchnorm_update: true
    freeze_batchnorm: false

InventivetalentDev

# SSD with Mobilenet v1 0.75 depth multiplied feature extractor, focal loss and
# quantized training.
# Trained on IIIT-Oxford pets, initialized from COCO detection checkpoint

# This config is TPU compatible

model {
  ssd {
    inplace_batchnorm_update: true
    freeze_batchnorm: false

InventivetalentDev

db.getCollection('...').aggregate(
    {"$group" : { "_id": "$id", "count": { "$sum": 1 } } },
    {"$match": {"_id" :{ "$ne" : null } , "count" : {"$gt": 1} } }, 
    {"$sort": {"count" : -1} },
    {"$project": {"id" : "$_id", "_id" : 0} }     
)/*.forEach(function(r){
    db.getCollection('---').remove({id:r.id})
    })*/

InventivetalentDev

#!/bin/sh
PREFIX="myServer"

MONGO_HOST="localhost"
MONGO_PORT=27017
MONGO_USER="admin"
MONGO_PASS="admin"

FTP_HOST="1.2.3.4"
FTP_USER="admin"

InventivetalentDev

<!-- https://tools.inventivetalent.org/premium-resource-eta/ -->
<div>
    <form id="resourceForm" action=".">
        <input type="number" id="resourceInput" required class="form-control" placeholder="Spigot Resource ID">
        <button class="btn btn-primary" type="submit">Check</button>
    </form>
    <div id="result">
    </div>
</div>

InventivetalentDev

public void patchVersions() {
		System.out.println("=== RUNNING PATCH ===");

		List<org.bson.Document> resources = databaseClient.getResourcesCollection().find().into(new ArrayList<>());

		for (org.bson.Document document : resources) {
			int resourceId = document.getInteger("_id");
			System.out.println("Resource: " + resourceId);

			List versions = (List) document.get("versions");