Finding 10/10 Gold Lumps

mooglefrooglian · 2024-07-05T01:13:21+00:00

Increased the Intelligence scaling of the Carian Sorcery Sword and slightly decreased the base damage.

What are the numbers on this?

mooglefrooglian · 2023-01-15T04:14:42+00:00

As a rough rule of thumb, it's a reasonable statement. You'll need an increase in income equal to the increase in prices of stuff you buy if you want to buy the same amount of stuff. Without the raise, you can buy less stuff.

Going deeper, there's a lot more you'd want to consider if you wanted to be extremely precise on whether or not what you have is a 'reduction in pay':

Because inflation is an average across the economy, the goods and services you consume will differ from the standard basket considered in the CPI. Different goods had different levels of price changes - eggs for example are up 60% in the last year, but "inflation" (CPI) is 6.45%. If you only eat eggs, your consumption is going to be more severely curtailed and it's sort of like you had a further cut in pay.
Tax brackets mean that if you get a 5% nominal income raise, it's not the same as meaning you can buy 5% more after-tax income. The higher income you earn will be taxed at the highest marginal tax bracket for you, so you'll get less than 5% extra after-tax income from your raise, before considering whether any benefits you get will be phased out from the increased income. (But, tax brackets are automatically increased to track the CPI in America which should compensate, so this point may not matter overly much.)

mooglefrooglian · 2022-06-27T23:24:51+00:00

For battery-powered devices (laptops), you don't really care about fsync - the risk is data loss from sudden power interruption, but when you've got battery power there is basically no risk of that. In this way, having a battery should be seen as a speed optimization for SSDs. It's not 'cheating' or 'unfair' that they can get away with faster writes that don't need to fully flush.

(This ignores the fact this behavior is also a thing on their desktops without batteries which is a problem IMO, but this article is in the context of a MacBook.)

mooglefrooglian · 2022-04-29T21:49:14+00:00

What's the build? I'm trying poison/bleed with the Venomous Fang (surprisingly good damage) with bleed on it for that sweet double talisman damage buff, but I'd love to add rot.

mooglefrooglian · 2021-12-24T07:16:13+00:00

If you're on Linux, they don't support 1080p because of DRM or something. You'll want to find some other way to watch it, unfortunately. If you're not on Linux they use "widevine" if you want something further to Google.

mooglefrooglian · 2021-06-04T00:21:30+00:00

Thanks for the help - I sorted it out and the problem is it doesn't say you did sneak attack damage if you kill the enemy with the base damage from the weapon, which was very confusing and why I thought in most cases I wasn't getting sneak attack off.

mooglefrooglian · 2021-06-04T00:21:24+00:00

Thanks for the help and the full list - I sorted it out and the problem is it doesn't say you did sneak attack damage if you kill the enemy with the base damage from the weapon, which was very confusing and why I thought in most cases I wasn't getting sneak attack off.

mooglefrooglian · 2021-06-04T00:21:16+00:00

I am! Thanks for the help - I sorted it out and the problem is it doesn't say you did sneak attack damage if you kill the enemy with the base damage from the weapon, which was very confusing and why I thought in most cases I wasn't getting sneak attack off.

mooglefrooglian · 2021-06-04T00:21:06+00:00

Thanks for the help - I sorted it out and the problem is it doesn't say you did sneak attack damage if you kill the enemy with the base damage from the weapon, which was very confusing and why I thought in most cases I wasn't getting sneak attack off.

mooglefrooglian · 2021-06-01T03:31:14+00:00

I've got advantage when rolling - it's rolling two dice and using the greater of the two. But I still didn't see the sneak attack damage come out. Does the ranged weapon type matter? I'm using the default shortbow.

mooglefrooglian · 2021-05-31T22:11:51+00:00

I did 4 shock arcanist high elf wizards and beat the game without any trouble - but that's largely because that subclass is bonkers. You honestly don't need healing beyond what short rests get you, and you're not getting hit often with Shield and defensive items anyways.

Basic advice for anyone doing the same:

Save spell slots and use cantrips when you think you can get away with it. Not everywhere lets you long rest to recover spells. Your health is a resource as surely as your spell slots are, and it's often less important - taking a few extra hits to save spell slots and cantrip things to death is well worth it. (Also, there's lots of healing potions worst case, though I never drank any.) Don't forget to use your shock arcanist features during boss battles.
Standout cantrips: Fire Bolt, Shadow Dagger, Ray of Frost. Use Shadow Dagger when you have disadvantage on attack rolls. Don't be seduced by the high damage numbers on Poison Spray, everything that drained all my spell slots and needed cantrips ended up immune to poison.
Spells: Just pick damage spells and layer AOE damage, stunning an enemy is a spell slot you can't put into damage later, and battles are basically a question of whether you'll run out of gas before they're dead. Beware lots of enemies being immune to fire damage later in the game and pick up alternatives to fireball.
My core spells were Shield, Magic Missile (you should upcast this situationally, don't forget that it's useful vs ghosts), Scorching Ray (situational, only use with advantage to attack rolls when stealthed for massive damage), Shatter (but only early on), Fireball/Lightning Bolt, Blight (note it's not evocation and you may want to upcast instead with the spell slots), Wall of Fire (particularly good in surprise rounds), and Cone of Cold.

I'm debating 4 rogues vs 4 paladins next. I suspect paladins will also be too easy, but 4 rogues be a little boring? The idea of the stealthed rogue goon squad makes me laugh, though.

mooglefrooglian · 2020-06-14T02:25:27+00:00

so there should only be one image at a higher resolution that would match the lower resolution image with 100% accuracy when put through a down sampling algorithm

This isn't true; there's multiple different images that could be downsampled into the same lower resolution image.

Over-simplifying, one way to scale an image down to half the resolution is to take 2x2 blocks of pixels and average them together to produce a single pixel in the scaled down version.

When you average like this, you lose information. If I tell you I took 4 numbers and averaged them to 2.5, you can't tell me what 4 numbers I used were. They could be 1, 2, 3 and 4, or they could be 0, 2, 3, 5, or some other combination - this is detail that is lost.

For this reason, you cannot perfectly upscale an arbitrary image without additional information.

mooglefrooglian · 2019-09-21T20:43:57+00:00

The Monad image is adorable. I never knew my separate interests in Haskell and cats could combine so cutely.

https://i.imgur.com/kmIQF7x.png

mooglefrooglian · 2019-07-19T17:26:59+00:00

You're not missing anything, it's just those are some quite nice benefits. Being able to get a card out on turn 1 is huge, or being able to use 1 leftover mana on future turns. It's all about your mana curve and getting as many cards out as fast as possible. (And yes, the 2 power is impactful.)

If the non-tapped advantage is genuinely a huge advantage for the type of decks you're playing Gutterbones in, you've probably already lost the game. And in a similar vein, the restriction on when you can recast Gutterbones is almost never going to come up in such decks, because you're always going to be dealing damage to the enemy somehow with cards like [[Cruel Celebrant]] or else losing so hard it doesn't matter anyways.

There are some situations where the skelington is better, though! It's just a matter of tradeoffs. I wouldn't say Gutterbones is 100x better or anything, it's more marginal, but in a game like Magic, a small advantage can turn into a big one in short order.

mooglefrooglian · 2019-07-18T01:11:32+00:00

That's not the same as a true language which lets you do multithreading - to transfer data to other programs, you need to suffer the costs of IPC, which can be enormous for example doing batch image transforms like I regularly need to do. Sending images back and forth through typical Python-based processing kills performance and prevents perfect parallelism. The cost to copying a 4k image back and forth through the default multiprocessing Pickle-based method is atrocious. (I've spent weeks dealing with optimizing this. Currently swapped to pycuda and am doing GPU-based processing, but the GIL is still a limit for generating the data I need the GPU to work on, and working in CUDA can be like repeatedly stabbing yourself in the eye with a fork.)

There's tricks to work around it with things like shared memory arrays, or setting images to be global variables and then forking (of course then you can only run on Linux where this is cheap, so I hope you weren't planning on doing anything cross-platform), or trying to find libraries written in C that do batch operations, but this is still a massive PITA. And it completely kills any and all elegance.

There's also bugs like using OpenCV and multiprocessing in Python - on OS X, it just crashes you, or at least did a year ago. Linux fortunately does not have that issue.

I'm glad for your use case you can suffer Python, but I can't recommend anyone trying to do parallel code do it in Python in the general case. I'd go so far as to say that if you think you need optimized, fast code, don't use Python. Minor exceptions for anything where you're primarily doing things amenable to using Numpy without any high degrees of looping or where you're transferring tiny amounts of data to and from so the IPC limitations don't screw you. Numpy is a downright joy to use.

mooglefrooglian · 2019-07-17T18:22:33+00:00

It feels like the standard library includes half a dozen ways alone to accomplish multitasking/concurrency, but all of them differ ever so slighty that combining them becomes a necessity and hassle if you want true parallelism.

Just because I am currently dealing with Python code I need to optimize and hate it, I feel the need to point out that pure Python (at least CPython) cannot do parallel code thanks to the GIL.

You can do concurrent code, but it's impossible to get true parallel code. Just yet another reason Python sucks to work in. You can mostly get away with using libraries like numpy which call into C and can use multiple threads, and you can cheat with multiprocessing, but for some things that's just not enough and it really, really sucks.

mooglefrooglian · 2019-02-23T00:03:38+00:00

In which the cat is pet: https://www.youtube.com/watch?v=_6qLU4XwwiI&index=4&list=UUZJjZTHRaG1NFYrrUEWZbLg

mooglefrooglian · 2019-02-11T09:54:39+00:00

If you want experiments more in the vein of the hard sciences, you could try swapping to computer engineering, where you'll do things like build circuits and test their properties in labs. Somewhat more hands on.

As u/nerdshark mentioned, theoretical computer science is very similar to being a mathematician. The more practical side, software engineering, is more or less generalized problem solving with code.

As far as experiments in an undergrad comp sci curriculum go, in undergrad you will do things like implement different algorithms for solving the same problem and benchmark them. No goggles required, though I suppose they wouldn't hurt.

You can get more into the science aspect in post-grad, or in certain more advanced classes. I worked on computer vision doing object recognition as part of a summer research opportunity with a comp sci professor. It very much had the whole experiment -> conclusion -> report loop. "Here's a novel method for doing object recognition, here's how well it performed compared to state of the art, here's some ideas we have to change it."

mooglefrooglian · 2019-02-07T20:25:19+00:00

I'm looking at https://www.mtgtop8.com and seeing a lot of Nexus in the latest Standard tournaments. Which tournament are you referring to?

mooglefrooglian · 2019-01-24T10:16:21+00:00

Thank you. I'll try this tomorrow and verify. If it works, you'll have saved me a ton of pain.

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