Pascal programmers are confused.

Chapter 1 and Chapter 2 (which make up Volume 1) is repeatedly mentioned to be special and fundamental to the rest of the book series.

Well maybe if you started on book 1 chapter 1, you’d know how to read these books.

Why didn’t you start with the fundamentals book Volume 1?

You just jumped directly into complex combinatorics and then complained that the material was too difficult.

That’s just called 1600s era half plate.

As halberds and other armor penetrating weapons became normal (and Guns), the focus of armorers was on deflection rather than outright stopping blows.

Also, iron became cheaper and thus mass produced. So in some sense armor got worse, but far more people were wearing armor. The small bits (gloves, legs, etc etc) couldn’t be custom made per person anymore because of mass production templates. But armor was well on its way out by then anyway as guns were obviously the future.

True. But it keeps happening.

Be it two thousand years ago or 500 years ago. Sexy armor proves that humans haven’t really changed.

Kings and generals don’t really find themselves alone on the front lines. The armor is nearly ceremonial, no one is supposed to take a shot at the king. Even if the king were expected to visit the front lines.

As such, kings, princes and other nobles never had practical armor. It’s all armor-fashion and status symbols (including sexualization, when said sexualization was in fashion).

I raise you Emperor Ferdinand I Armor, specifically it’s Codpiece.

I’m just saying. Sexualized armor is very historical.

1. Anti-federalism – Deep rooted distrust of the Federal Government has been around since the dawn of the USA, though its often been part of the minority.

2. Know Nothing / Native American Party – 1850s era movement. Protectionist, isolationist, nativist. Originally they popped up as anti-Irish and anti-Catholic, but overall the concept is that immigrants suck. The modern concept is: “I know nothing”, about the movement. The overall idea is that even in the 1800s, it was bad to look like a racist bigot, so you’d keep your support for these causes secret. Everyone in the party knows that “the Know Nothings are larger than everyone expects”, but no one really knows how big the movement is. And that’s the point.

3. America First – 1930s saw the rise of Fascism vs Communism in Europe with the dawn of the Spanish civil war. The “America First” movement focused on isolationism and even pro-German / Nazi slant mixed with religious fervor. This was pushed by tech-gurus of the time: Charles Lindberg (airplane entrepreneur, first Trans-atlantic flight, etc. etc.), and the Christian Front. (https://en.wikipedia.org/wiki/1939_Nazi_rally_at_Madison_Square_Garden).

4. NAFTA – 1990s free-trade by Bill Clinton opened up Mexico and Canada as incredible trading partners. However, local industry / local steel lost out as companies started to shop in Mexico for material. As Bill Clinton was a huge pusher of NAFTA, the anti-NAFTA political group consolidated under Republicans. This is likely where the bulk of blue-collar workers is coming from, especially because Trump started adding Tariffs / anti-globalism concepts back to the forefront of American Politics.

Some more recent context:

1. Trump has been building his brand for decades as a very rich, very macho straight-talker. Even in the 80s and earlier, there’s a large number of Hotels, Casinos, Resorts, Golf Courses (etc. etc.) that have relatively high reputation among Americans in general with Trump’s name.

2. Trump reads from the teleprompter in “another voice”, openly showing his disdain for public speaking and the political system. Anyone who has lost faith in the political system loves this. Trump pretends that the teleprompter is forcing him to talk and its all just a “through the motions” thing. Then Trump obviously goes off teleprompter and talks about different concepts, the “real stuff”. (Or so goes his branding). This simple trick is enough to get the gist to his followers: don’t listen to what I say (because I’m being forced to say this politically correct crap). This means that Trump’s true actions are only limited to the imagination of the listener.

3. Trump is playing and leaning into the borne again Christian role. From a religious perspective, the “former enemy / former outsider” coming into religion is a common story and religious love it. Trump was openly a Democrat in the 90s / 00s before switching into Republicanism.

The “bulk” of Trump’s political style is Know Nothing + Macho + anti-political correctness.

I’ve begun to pay for Kagi.com

I wouldn’t say that it “blows my mind” or anything, but simply that it seems to work as expected (which is more than what I can say for Google). There’s also a “Fediverse” button on Kagi.com, so it can search lemmy.world (and more??).

The 13th month should be called eleven, because it’d come after December (10), our 12th month.

It’s len(str) in Python. Not str.length.

Is it wrong that I’m stuck trying to figure out what language this is?

Trying to figure out what string.length and print(var) exist in a single language… Not Java, not C# (I’m pretty sure its .Length, not length), certainly not C, C++ or Python, Pascal, Schme or Haskell or Javascript or PHP.

I’ve added a new placement based on a few more heuristics.

The newest placement is theoretically possible in 5 rounds, creates the maximum 113 score, and is biased to have as many placements as “high” up as possible (row1 favored most, row2 next favored, etc. etc.)

I didn’t try very hard to find the best sequence yet, but this is much more playable.

I’m currently estimating about 62-million sequences that are optimal. I’ll likely have to search all 62 million of them to find the “most playable” optimal 113-score game.

This is still small enough to brute force on a single-core in a few seconds. But I’m too tired to keep programming today.

This above sequence is theoretically possible in 6-rounds of play.

Its theoretically playable. But 8, 9, 10, 11, and 12 is basically never going to happen. I’m trying to figure out how to optimize my program for “more playable” sequences.

Surprisingly: the sequence 1 2 5 6 8, 3, 4, 7, 9 is playable and score-wise optimal still. So with a few reorderings / better search, I probably can find a “reasonably looking” sequence for a real game.

Still, solving this “subproblem” is likely news for many Azul players. I believe I’m the first one to find a provably optimal sequence of plays for a given target number of placements.

Universal Paperclips is one of the best clicker games.

In particular: because it isn’t a clicker game. It only starts off as one. There’s only about 2 sections IIRC that are “clicker”, the start (before auto-clippers kick in), and then the quantum computer.

I guess you have to launch your first 20 or 30 probes at the space stage and that’s done one-click-at-a-time… but I don’t think that counts as a “clicker” game since its so few clicks in the great scheme of things. At no other point is rapid-clicking that useful.

I had a pretty standard linear-list scan initially. Each time the program started, I’d check the list for some values. The list of course grew each time the program started. I maximized the list size to like 2MB or something (I forget), but it was in the millions and therefore MBs range. I figured it was too small for me to care about optimization.

I was somewhat correct, even when I simulated a full-sized list, the program booted faster than I could react, so I didn’t care.

Later, I wrote some test code that exhaustively tested startup conditions. Instead of just running the startup once, I was running it millions of times. Suddenly I cared about startup speed, so I replaced it with a Hash Table so that my test-code would finish within 10 minutes (instead of taking a projected 3 days to exhaustively test all startup conditions).

Honestly, I’m more impressed at the opposite. This is perhaps one of the few times I’ve actually taken the linear-list and optimized it into a hash table. Almost all other linear-lists I’ve used in the last 10 years of my professional coding life remain just that: a linear scan, with no one caring about performance. I’ve got linear-lists doing some crazy things, even with MBs of data, that no one has ever came back to me and said it needs optimization.

Do not underestimate the power of std::vector. Its probably faster than you expect, even with O(n^2) algorithms all over the place. std::map and std::unordered_map certainly have their uses, but there’s a lot of situations where the std::vector is far, far, far easier to think about, so its my preferred solution rather than preoptimizing to std::map ahead of time.

To that end, the SAM9x60 is fantastic for widening the space for folks working in that high-end of the spectrum. But until someone or some entity produces a volume run of an SBC or drop-in module utilizing it, I can’t see why a rapid-development project inclined to use an RPi (middle end complexity) would want to incur the effort of doing their own custom design (high end complexity).

I feel like the SAM9x60D1G-I/LZB is close enough to a plug-and-play “compute module”, but you do have a point in that a compute-module isn’t quite a complete computer yet.

TI’s AM335x / Octavo OSD335x chips have a huge advantage from this particular criticism you have. These chips are behind the Beaglebone Black, meaning you have all three (Beaglebone Black / Green as a SBC for beginners, OSD335x SiP for intermediates, and finally the AM3351BZCEA60 (or other specific versions) for full customization.

At $50 for the SBC / Beaglebone Black, its a weaker buy than Rasp. Pi. But the overall environment and knowledge that Beaglebone Black represents a full ecosystem to the “expert” PCB layout (and includes an in-between SiP from Octavo systems) is surely one of the best arguments available.

Microchip obviously isn’t trying to compete against this at all, and I think that’s fine. TI’s got the full scale concept under lockdown. The SAM9x60’s chief advantage is (wtf??!?!) 4-layer prototypes for DDR2 routing. Its clearly a far simpler chip and more robust to work with. Well, that and also absurdly low power usage.

Rasp Pi’s power usage, be it the RP2040 or the Rasp. Pi products in general, always have had horrendous power-consumption specs and even worse sleep/idle states.

How many layers does the Orange Pi Zero pcb have?

Answer: Good luck finding out. That’s not documented. But based off of the layout and what I can see with screenshots, far more than 4 layers.

A schematic alone is kind of worthless. Knowing if a BGA is designed for 6, 8, or 10 layers makes a big difference. Seeing a reference pcb-implementation with exactly that layer count, so the EE knows how to modify the design for themselves is key to customization. There’s all sorts of EMI and trace-length matching that needs to happen to get that CPU to DDR connection up-and-running.

Proving that a 4-layer layout like this exists is a big deal. It means that a relative beginner can work with the SAM9x60’s DDR interface on cheap 4-layer PCBs (though as I said earlier: 6-layers offer more room and is available at OSHPark so I’d recommend a beginner work with 6 instead)

With regards to SAM9x60D1G-I/LZB SOM vs Orange Pi Zero, the SAM9x60D1G-I/LZB SOM provides you with all remaining pins of access… 152 pins… to the SAM9x60. Meaning a full development board with full access to every feature. Its a fundamentally different purpose. The SOM is a learning-tool and development tool for customization.