falling_step

std.elementwise.falling_step · Level L1

One factor of the falling product n(n − 1)…(n − k + 1): where i ≤ k, multiply by n − i + 1 and count. The body permutations runs.

(i, acc) → (i + 1, acc·(n − i + 1)) while i ≤ k

Signature

falling_step(i: i64[s], acc: i64[s], n: i64[s], k: i64[s]) → i64[s], i64[s]

Structure

The function as NOVA stores it: one box per input, operation and output, and arrows that carry values. A double border marks another library function this one runs — called once, or by Scan once per element; select it to open that function.

ii64[s]ni64[s]1ki64[s]acci64[s]Addi1SubtractnmGreateroverWherei2AddfactorMultiplyprodWhereacc2i2i64[s]acc2i64[s]
  • input
  • operation
  • constant
  • call
  • output

Verification

  • Signature proven by NOVA’s shape solver, for every size.
  • Equal to the reference where i <= k: i + 1, acc*(n - i + 1) in exact rational arithmetic, on all 40 test cases.
  • All 328 int64 results are exact: the error is zero.
  • Interpreter and NumPy backend return bit-identical results.
  • At float32 too: the 40 test cases rounded to float32, and 40 of them exact, with zero error.
Accuracy in detail
correctly rounded (the int64 nearest the exact value)
100%
bit-equal to the NumPy formula in int64
100%
largest error, in units in the last place
0

Identity

Calls
—
Called by
sha256:026ac5622f72c6a40b7b21736445b581f648348c88e6324ce707906893477123

The semantic hash of the graph. It changes when the program changes, and never when only its documentation does.

Control handle

Symbol
Ω:std.elementwise.falling_step · Ω:falling_step
Pins
sha256:3137831f424e33fc5b7ca99b25ad6540214466b113439c61bb9f26c92352fb07this graph alone
Evidence
sha256:4d254555f8ac4e8cc1bec3b9a2a07fd63d12d131e4f6d403215adc50a9d4ab7bthe hash of its verification record
Needs
no capability: a pure function

Through NOVA’s control layer, the symbol launches this function only while the program still matches what it pins: a change to this graph, or to any graph it reaches, needs a migration first.

ΣEML 2026

Efficient New Language — a high-density semantic overlay for humans and AI agents.

This site’s demos run on the real EML toolchain, in your browser.

© 2026 EveMissLab (一言諾科技有限公司) / Neo.K. All rights reserved.