is_open

std.topology.is_open · Level L1

Whether a subset A (a 0/1 mask) is open in a finite topology τ, as 1 or 0: A is one of the listed open sets.

[A ∈ τ]

Signature

is_open(tau: f64[m, n], A: f64[n]) → f64[]

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.

tauf64[m, n]Af64[n]Transposeopenv_FtReshapeArReduceSumopenv_fsMatMulopenv_interReduceSumopenv_ssReshapeopenv_fsrReshapeopenv_sscEqualopenv_e2Equalopenv_e1Multiplyopenv_eqReduceMaxopenvReduceMaxopenopenf64[]
  • input
  • operation
  • constant
  • call
  • output

Verification

  • Signature proven by NOVA’s shape solver, for every size.
  • Equal to the reference A among the rows in exact rational arithmetic, on all 40 test cases.
  • All 40 float64 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 float64 nearest the exact value)
100%
bit-equal to the NumPy formula in float64
100%
largest error, in units in the last place
0

Identity

Calls
—
Called by
sha256:10831a2d591dcc0eef694689d312aa2fbfe0412c50abf1e584d7c8932edfcf7f

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

Control handle

Symbol
Ω:std.topology.is_open · Ω:is_open
Pins
sha256:27edd3940430955fa0a289fcfd3815a23f4c0cd0bb976631472f6f026d03ed39this graph alone
Evidence
sha256:51eb767a7b74d5e297f951421663fc1c47781e266dcdb46fbeb15e6bcc3c4894the 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.