min_positive_distance

std.sets.min_positive_distance · Level L1

The smallest positive distance δ in a finite distance table (0 for a single point). Every ε < δ forces d(x_m, x_n) < ε to mean x_m = x_n, so a Cauchy sequence in a finite metric space is eventually constant and converges: finite metric spaces are complete. A few sampled sequences would not prove it.

δ = min{d(x, y) : d(x, y) > 0}

Signature

min_positive_distance(D: f64[n, 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.

Df64[n, n]0.0ReduceMaxbig1.0GreaterposMultiplyDpAddcapSubtractoffReduceMaxany_posMultiplypadAddcandReduceMinmMultiplydeltadeltaf64[]
  • input
  • operation
  • constant
  • call
  • output

Verification

  • Signature proven by NOVA’s shape solver, for every size.
  • Equal to the reference the minimum over the positive entries 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
—
sha256:065ccc6b86599375660f42ceed99adceca27e97d7ec63ac9c63dbc2b6821160a

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

Control handle

Symbol
Ω:std.sets.min_positive_distance · Ω:min_positive_distance
Pins
sha256:0c0aa93f4f7c91141a0f8028e44bc957e3a561ee7cabb4ba160bebd82bf7243cthis graph alone
Evidence
sha256:e17087a1126aa4a7959c6476922e7e9c6065069a84255aed139c034a5f9b1c20the 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.