min_positive_distance
std.sets.min_positive_distance · Level L1The 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.
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.
- 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 entriesin 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.
- 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
sha256:065ccc6b86599375660f42ceed99adceca27e97d7ec63ac9c63dbc2b6821160aThe 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.