switch(len & 3)
{
case 3: k1 ^= tail[2] << 16;
case 2: k1 ^= tail[1] << 8;
case 1: k1 ^= tail[0];
        k1 *= c1; k1 = ROTL32(k1,15); k1 *= c2; h1 ^= k1;
};

'outer: {
  'case1: {
    'case2: {
      'case3: {
        match len & 3 {
          3 => break 'case3,
          2 => break 'case2,
          1 => break 'case1,
          _ => break 'outer,
        }
      } // 'case3:
      k1 ^= (tail[2] as u32) << 16;
    } // 'case2:
    k1 ^= (tail[1] as u32) << 8;
  } // case1:
  k1 ^= tail[0] as u32;
  k1 *= c1; k1 = k1.rotate_left(15); k1 *= c2; h1 ^= k1;
}

Aside: Practical concerns about running a program beyond the end of the universe are outside the scope of this article.

Представьте: вы открываете чердак и находите пыльный ZX Spectrum. «Музейный экспонат», — думаете вы. А что если я скажу, что эта коробка с 48 килобайтами памяти может с 95.5% точностью распознавать рукописные цифры и проходить те самые CAPTCHA-тесты «Я не робот» из 2010-х?

Более того: технически она могла это делать с момента выпуска в 1982 году. Мы просто не знали правильный алгоритм 43 года.

<...> I decided someone needed to try to create a Postgres configuration optimized to process queries as slowly as possible. Why? I am not sure, <...>

I can’t make this too easy. This is a Postgres tuning challenge, not a throttle-your-CPU-to-one-megahertz-and-delete-indexes challenge, so all changes must be on parameters in postgresql.conf. Additionally, the database will still need to have the capability to process at least one transaction within a reasonable amount of time—it would be too simple just to grind Postgres to a halt.

Tired of manually handling unwrap() results? Let AI do the heavy lifting!

I have created a crate called fibonacci-numbers. There are 187 different major versions of the crate, each exporting the Fibonacci number corresponding to that version.
<...>
Version 186 depends on version 184 and 185 and exports the largest Fibonacci number that fits in a u128:

pub const VALUE: u128 = fib184::VALUE + fib185::VALUE;

esotoric [sic!] programming language that's read like a spellbook

begin the grimoire.
summon the power with essence of 7.
conjure ritual named amplify with value to return value multiplied by value.
enchant power with essence 0 of through ritual amplify with power.
inscribe whispers of "the power is amplified: " bound with power.
close the grimoire.

In the unlikely case that you have very little RAM and a surplus of video RAM, you can use the latter as swap.

#include <stdio.h>

int main() {
  puts("Hello world");
  asm("/*");
  /* Nested comment */
  for (int i = 0; i < 10; i++) puts("I LIKE PANCAKES!");
  asm("*/");
  puts("Goodbye world");
}

#include <stdio.h>

int main(int i) {

  do do do do "baby shark!";

  while (++i % 2);
  while (i == 2);
  while (i % 3); 
  while (i % 7);

  printf("The answer is %d.\n", i);

}

const hello_world_in_c =
    \\#include <stdio.h>
    \\
    \\int main(int argc, char **argv) {
    \\    printf("hello world\n");
    \\    return 0;
    \\}
;

    let hello_world_in_c = "\
    #include <stdio.h>\
    \n\
    \nint main(int argc, char **argv) {\
    \n    printf(\"hello world\\n\");\
    \n    return 0;\
    \n}";

    let hello_world_in_c = r#"#include <stdio.h>

int main(int argc, char **argv) {
    printf("hello world\n");
    return 0;
}"#;

macro_rules! text {
    (#[doc=$first_line:literal] $(#[doc=$lines:literal])*) => {
        concat!($first_line, $("\n", $lines),*)
    };
}
let hello_world_in_c = text! {
    ///#include <stdio.h>
    ///
    ///int main(int argc, char **argv) {
    ///    printf("hello world\n");
    ///    return 0;
    ///}
};

Facto is a programming language that compiles to Factorio circuit network blueprints. You write readable code describing the logic you want, and the compiler generates optimized combinators that you paste directly into your game. No manual wiring, no layout headaches, no remembering signal types, no memory frustration, no debugging visual spaghetti.