TEND-EVALMULT(1)

💖 TEND-EVALMULT(1) 💖

okay so bestie, welcome to the tend-evalmult page, part of the User Commands crew 🫶 this is the lil tool that squishes and stretches your tensor shapes by scaling the eigenvalues, and honestly? it's giving glow-up but make it linear algebra ✨

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✨ NAME ✨

tend-evalmult — modify shape by multiplying eigenvalues by a constant 💅

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🌸 SYNOPSIS 🌸

tend evalmult -v <value> [-i <nin>] [-o <nout>]

yes, you call it as a subcommand of tend, not on its own — iykyk 🧚

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🦋 DESCRIPTION 🦋

So here's the tea ☕ — this command modifies shape by multiplying eigenvalues by a constant. That's it, that's the whole vibe. You hand it a value, it scales the eigenvalues by that value.

The orientation of the tensor is unchanged. 🎀 Like, the tensor stays facing exactly where it was facing, we're just changing the shape of it. No rotating, no reorienting, no drama. Just vibes being resized. Periodt. 💅

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✨ OPTIONS ✨

• -v <value> — the value you're multiplying the eigenvalues by, and yeah it's a float 🍓 (required, bestie — no default, you gotta tell it)
• -i <nin> — your input diffusion tensor volume. default: - 🌈 (the - means it'll read from standard input, main character energy fr)
• -o <nout> — the output image, and heads up it's floating point, and it's a string. default: - 💖 (and yep, - here means standard output — it's a whole matching-set situation)

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👑 SEE ALSO 👑

• tend(1) — the parent command, go say hi 🫶

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reminder bestie: -i and -o both default to -, so if you're not careful your output is gonna go straight to your terminal and it will be a whole moment 😭 pipe it somewhere nice!

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that's the page, you ate it, no crumbs left ✨ mwah 💋

this lil doc lives in the User Commands section, version dated April 2021 — hope it served you, bestie, now go multiply some eigenvalues 🌸🦋💖