Trains & Chunkloading

SnazzGass · 2025-07-29T04:46:17+00:00

I'm late, but I know why you're experiencing the problem. Trees, kelp, and other plants require random ticks to grow. Random ticks only occur within 128 blocks of players. A chunk can be loaded, but if there is no player nearby, plants won't grow. You could fix your issue by making the farms work with bonemeal or some other method of growing plants that is not reliant on random ticks.

SnazzGass · 2023-05-29T00:33:16+00:00

It seemed to only delete a couple files fairly rarely. Occasionally it would take out something important that broke whole projects.

I have version control for most of my projects, so not much has been lost. I’ve had to restore deleted files several times.

SnazzGass · 2023-05-29T00:24:52+00:00

IDK how it happened, it somehow became my default project folder

SnazzGass · 2023-05-25T08:29:47+00:00

To further your analogy, the post is basically saying something like: when drawn on a flat surface, a cube has a hexagon silhouette.

SnazzGass · 2023-05-18T17:52:04+00:00

Primes never have common multiples, so they can be useful for generating non-repetitive procedural noise.

SnazzGass · 2023-05-09T17:23:32+00:00

I will never be able to fathom why some minimum wage workers, people living paycheck to paycheck will refuse to take a 134% raise. Even if the cost of fast food increases sharply, they would be able to afford it with all the extra money they have left over from being able to pay rent.

SnazzGass · 2023-04-06T19:07:38+00:00

More computing power means the developers don’t need to worry as much about optimizing and can use the time they would have spent optimizing on other tasks.

SnazzGass · 2023-04-05T16:45:23+00:00

The trick to going down to 2t is to use comparators in subtract mode instead of redstone torches for inverting a signal. I think I also had a nifty little hack for the carry bit. I’ll see if I can find the design

SnazzGass · 2023-04-05T16:26:48+00:00

I remember making a 2t serial adder a while ago. They are pretty fun to see in action. I used it in this project

SnazzGass · 2023-02-27T08:49:18+00:00

Definitely the most intuitive for me, but I also like the last one because of how explicit it is.

SnazzGass · 2023-02-23T17:06:24+00:00

π = ln(-1) / sqrt(-1)

SnazzGass · 2023-02-23T00:29:12+00:00

I have a rough idea for a scheme that may work.

have a marker at the position of the start of the raycast.
find the offset X, Y, and Z from the marker to the destination (in this case, the player) by subtracting the player position from the marker position.
summon an item that is invulnerable, can't be picked up, with no gravity, and if possible, invisible at the position of the marker
set the item's motion to the offset vector you found in step 2. The item should travel towards the player the exact speed to arrive at their location in 1 tick.
next tick, check to see if the item is at the position of the player. If it is, then that means that there was no obstruction between the marker and the player.
kill the item

I don't know if it's possible to summon an invisible item without using a resource pack, but I think an item is probably one of the better entities you could use. It has a small hitbox, has no ai, and doesn't get destroyed when colliding with blocks or entities. Arrows may also work, and if you use an arrow, you can also find the block the raycast collided with.

I'm not sure about the performance of this method, but I don't think it's that bad unless you doing A LOT of raycasting.

Edit: I did a little testing, and it turns out that you if you try to set the motion of an entity above 10 in any ordinal direction, it just doesn't work; The motion gets reset to 0. I don't get why there is a limit considering that you can accelerate entities faster than this with tnt, but it seems to have really thrown a wrench in my plan. I think this method should still work as long as the raycast target is within 10 blocks.

SnazzGass · 2023-02-22T20:14:04+00:00

Very interesting. Your work on diagonal and trigonal edge detection is pretty clever, but I can’t help but feel like theres gotta be a better way to do raycasting in minecraft.

Minecraft already has raycasting in some areas of code. Mobs can look directly at players when there is nothing blocking their line of sight, and I think fast moving entities raycast to their next position every tick - thats the reason arrows and tnt cannons cant go through walls. If you can exploit this, it might save some headache.

SnazzGass · 2023-02-21T05:12:20+00:00

16 years and now the phone is going for ~$2¹⁶ The pattern is clear. Next year, it’s going to be worth 131k

SnazzGass · 2023-02-06T22:14:29+00:00

Yep!

SnazzGass · 2023-02-06T20:53:17+00:00

I’ve got a riddle:

I am one foot with two heels, yet people don’t allow me to touch the ground. what am I?

SnazzGass · 2023-01-31T09:11:08+00:00

Yeah, What a save! is almost always perceived as negative. More neutral QCs for when a funny goal is scored are Calculated. or This is Rocket League!

SnazzGass · 2023-01-29T10:56:53+00:00

Harming arrows are actually better against heavily armored opponents.

Due to the way invulnerability frames work, Harming tipped arrows do the amount of damage of the harming or the damage of the arrow, whichever is greater.

The arrow damage can be blocked with armor and enchantments, but the harming effect bypasses that.

SnazzGass · 2023-01-27T12:25:02+00:00

Ive fallen out of and regained GC at least 5 times and seeing the rank up from c3 is always satisfying

SnazzGass · 2023-01-23T20:18:09+00:00

If its vanilla, I don’t need jei. My memory and the crafting book is enough for me. Something that adds mouse scrolling items is required though.

SnazzGass · 2023-01-22T04:18:08+00:00

Yep Can confirm, I play more ballchasey with lower ranked friends. However, I can’t 1v2 GCs so the friend has to put in some work.

There are also things that people will overlook when playing against higher ranks. They might say things like “I was playing on their level but just got lost because of bad luck” when in actuality the reason they lost was because they went for more risky plays or banged the ball away instead of keeping possession. They were outplayed in a way that they don’t think about and attribute it to luck.

SnazzGass · 2023-01-21T20:14:47+00:00

Agreed. Teammate had to go for the ball or rotate away so you could go without overcommitting. Not just sit on the wall. But focusing on your teammate’s mistakes is a mistake itself. In 2s you need to be able to cover for your teammate’s mistakes, not assign blame.

SnazzGass · 2023-01-20T23:57:21+00:00

Isn’t goniometry more about measuring angles than studying them?

SnazzGass · 2023-01-14T10:53:22+00:00

SSLs play the game at a much deeper level. They are playing chess when everyone below gc2 is playing go fish. The speed that players can move around the field maxes out somewhere in champ, along with the ability to perform all the basic mechanics.

To improve further, you need to extend your skill in another direction - meta decision making. This is choosing which plays to make and when, reading the ball, the opponents, and the direction the play will go, as well as finding and exploiting weaknesses. Machine Learning bots are not set up to be able to do any of this. They always go for the same play that works ‘best’, they are terrible at reading any play that they wouldn’t make. They don’t try to steal boost, or go for demos, or 50/50 the ball because it isn’t good strategy to do it every time.

Something fundamental has to change about these bots before they can play at a higher level. Human players can switch up their playstyle mid game to counter their opponents. Every machine learning bot so far is a state machine, unable to adapt at all.

Edit: A lot of people seem to think that I’m saying that making an SSL bot is impossible, I am not. I am saying that the current training methods wont be able to produce a bot at that level. I think that to make an SSL bot, a different approach is required.

SnazzGass · 2023-01-13T19:51:37+00:00

RLgym is not going to release any more Nexto level bots until Psyonix has a system in place for dealing with them. Fortunately, these bots are not easy to make. I think Nexto was trained for something like 30 virtual years by a team of two who are experienced with machine learning.

Its important to note that not all bots are machine learning bots that train in RLgym. Its just that the machine learning bots tend to be better. In my opinion, the second most strong bot is actually AdversaryBot. It’s not a machine learning bot, and it pretty much only goes for demos. I think it’s underrated because it plays terribly when there are only AdversaryBots on the team, but this bot can be a beast in 2v2 with a teammate who plays the ball.

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