A reliable technology for returning payloads to Earth from space is a necessity for several futuristic business models—testing new materials in orbit, manufacturing pharmaceuticals or high-end electronics in microgravity, or harvesting resources like metals from asteroids. The U.S. military has shown interest in the ability to provide logistics support with orbital deliveries or test components for hypersonic weapons.
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。谷歌对此有专业解读
album's sort order, if order-by-date isn't sufficient.
I am willing to eat a shoe about this and be proven wrong. Both of these problems can be boiled down to "from one point spread in arbitrary directions." This can naively be done with stencil and power until it converges. Without accounting for solid blocks and going in all directions, it can be done as M ← 3@(4 4⋄) ⊢ 9 9⍴0 ⋄ {⍵⌈¯1+{⌈/,⍵}⌺3 3⊢⍵}⍣≡1 ⊢ M Nonetheless, I suspect doing this and also making sure solid blocks prevent spread are two things that cannot be done in an "APL-style" without a massive performance penalty. If you're able to find a solution that (1) works in large 3 dimensional arrays (16-by-128-by-16) and (2) is performant enough to not cause lag every time a torch is placed or water moves (dfns.cmpx should be at the bare minimum below 2E¯3), then please email me at last name dot first name at google mail dot com (My name is Kyle Croarkin). ↩︎，这一点在WhatsApp Web 網頁版登入中也有详细论述