Sample
gonum.org/v1/gonum v0.17.0: mat.QR
Verified sample for golang gonum.org/v1/gonum v0.17.0: mat.QR. The contract ran on go 1.26 · linux debian/x64 · docker and passed.
sha256:d22b62c0f83c24de650941a8b558dffdbce59e3c191228e9176c3aa8041fbe78
This network offers one thing: a sample that builds. It ran the sample in a sandbox and kept the signed receipt. It grades nothing and warrants nothing — whether the same code builds where you are is not something it measured.
How many distinct signing keys filed a passing contract receipt. One is the author alone; more than one means somebody else built it too. A key is self-generated with nothing registered behind it, so it counts keys, not people.
MIT-0
Execution evidence
The declared environment and the signed runs are kept apart, so you can see exactly what this sample ran and where.
- Evidence basis
- Signed contract pass
- Verification receipts
- 1
- Signing keys that built it
- 1
Declared environment
linux 24 · ubuntu · glibc 2.39 x64 go
Verification-run environments
| Environment | Contract | Stages | Run |
|---|---|---|---|
| go 1.26 · linux debian/x64 · docker ed25519:c1973797be207ac4 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · golang@1golang:1.26@sha256:e30143be198a… |
2026-09-03 |
Case
HOW- Goal
- verify gonum.org/v1/gonum/mat.QR in pkg:golang/gonum.org/v1/gonum@v0.17.0
- Packages
- Symbols
-
- gonum.org/v1/gonum/mat.QR
- Created
- 2026-09-03T22:47:48Z
Contract
- mat.QR.Factorize computes the QR factorization of a matrix and enables extracting Q and R satisfying A = Q * R
- mat.QR.QTo extracts an orthonormal matrix Q where Q^T * Q is the identity matrix
- mat.QR.RTo extracts an upper triangular matrix R
- mat.QR.SolveTo solves the linear system A * X = B for a factorized matrix
- mat.QR.Factorize panics with ErrShape when the row count is less than the column count
- mat.QR panics when calling QTo, RTo, or SolveTo on an uninitialized factorization
Files
- PROMPT.md
- csx.json
- go.mod
- go.sum
- main.go
- spec.json
- test/contract.go
Source
Clean-room public code sample — generation instructions
Write a brand-new, minimal, self-contained code sample in this clean-room directory.
Do not copy, paraphrase, or reference any existing project source. Work only from this spec.
A csx.json manifest scaffold already exists. Do not recreate it from memory. Preserve its case.goal, packages and symbols; fill its empty case.contract with exact assertions and correct its environment, commands and verifierAdapter for the files you generate.
Goal: verify gonum.org/v1/gonum/mat.QR in pkg:golang/gonum.org/v1/gonum@v0.17.0
Kind: HOW
Use EXACTLY these public packages and versions:
- pkg:golang/gonum.org/v1/gonum@v0.17.0
Demonstrate these symbols/APIs:
- gonum.org/v1/gonum/mat.QR
Rules:
- One focused purpose; the smallest project that proves the goal.
- Include a contract test (test/contract.*) that runs OFFLINE and exits 0 exactly when the goal behavior works.
- Pin every dependency with a lockfile so resolution is reproducible.
- No secrets, credentials, or tokens. No real URLs (only example.com or localhost). No absolute paths.
- No personal names, emails, company names, or project identifiers of any kind.
- No binaries and no generated output (node_modules, dist, target, venv, .git, .env).
- Keep it under 200 files and 256KB packed.
{"case":{"caseId":"case:sha256:0e1318c2a585ffe9c2d2c2ed9166362cd2b8bcfde0640adef818f49b7594a001","contract":["mat.QR.Factorize computes the QR factorization of a matrix and enables extracting Q and R satisfying A = Q * R","mat.QR.QTo extracts an orthonormal matrix Q where Q^T * Q is the identity matrix","mat.QR.RTo extracts an upper triangular matrix R","mat.QR.SolveTo solves the linear system A * X = B for a factorized matrix","mat.QR.Factorize panics with ErrShape when the row count is less than the column count","mat.QR panics when calling QTo, RTo, or SolveTo on an uninitialized factorization"],"goal":"verify gonum.org/v1/gonum/mat.QR in pkg:golang/gonum.org/v1/gonum@v0.17.0","kind":"HOW","packages":["pkg:golang/gonum.org/v1/gonum@v0.17.0"],"schemaVersion":1,"symbols":["gonum.org/v1/gonum/mat.QR"]},"contractCommand":["go","run","./test"],"environment":{"arch":"x64","distro":"ubuntu","ecosystem":"golang","libc":"glibc","libcVersion":"2.39","os":"linux","osVersionBucket":"24","packageManager":"go","schemaVersion":1},"license":"MIT-0","packages":["pkg:golang/gonum.org/v1/gonum@v0.17.0"],"schemaVersion":1,"subject":"pkg:golang/gonum.org/v1/gonum@v0.17.0","symbols":["gonum.org/v1/gonum/mat.QR"],"verifierAdapter":"golang@1"}
module example.com/sample
go 1.26.6
require gonum.org/v1/gonum v0.17.0
gonum.org/v1/gonum v0.17.0 h1:VbpOemQlsSMrYmn7T2OUvQ4dqxQXU+ouZFQsZOx50z4=
gonum.org/v1/gonum v0.17.0/go.mod h1:El3tOrEuMpv2UdMrbNlKEh9vd86bmQ6vqIcDwxEOc1E=
package main
import (
"fmt"
"gonum.org/v1/gonum/mat"
)
func main() {
// Create a 3x2 matrix A
a := mat.NewDense(3, 2, []float64{
12, -51,
6, 167,
-4, 24,
})
// Factorize A into Q and R such that A = Q * R
var qr mat.QR
qr.Factorize(a)
var q, r mat.Dense
qr.QTo(&q)
qr.RTo(&r)
fmt.Printf("Matrix A dims: %d x %d\n", 3, 2)
fmt.Printf("Matrix Q dims: %d x %d\n", 3, 3)
fmt.Printf("Matrix R dims: %d x %d\n", 3, 2)
// Solve linear system A * X = B for B = [4, 10, 6]^T
b := mat.NewDense(3, 1, []float64{4, 10, 6})
var x mat.Dense
if err := qr.SolveTo(&x, false, b); err != nil {
panic(err)
}
fmt.Printf("Least-squares solution X dims: %d x %d\n", x.RawMatrix().Rows, x.RawMatrix().Cols)
}
{
"schemaVersion": 1,
"goal": "verify gonum.org/v1/gonum/mat.QR in pkg:golang/gonum.org/v1/gonum@v0.17.0",
"kind": "HOW",
"packages": [
"pkg:golang/gonum.org/v1/gonum@v0.17.0"
],
"symbols": [
"gonum.org/v1/gonum/mat.QR"
]
}
package main
import (
"fmt"
"math"
"os"
"gonum.org/v1/gonum/mat"
)
func main() {
// Assertion 1: mat.QR.Factorize computes the QR factorization of a matrix and enables extracting Q and R satisfying A = Q * R
a := mat.NewDense(3, 2, []float64{
12, -51,
6, 167,
-4, 24,
})
var qr mat.QR
qr.Factorize(a)
var q, r mat.Dense
qr.QTo(&q)
qr.RTo(&r)
var reconstructed mat.Dense
reconstructed.Mul(&q, &r)
if !mat.EqualApprox(a, &reconstructed, 1e-9) {
fmt.Fprintf(os.Stderr, "FAIL: Q * R does not match original matrix A\n")
os.Exit(1)
}
// Assertion 2: mat.QR.QTo extracts an orthonormal matrix Q where Q^T * Q is the identity matrix
qRows, qCols := q.Dims()
if qRows != 3 || qCols != 3 {
fmt.Fprintf(os.Stderr, "FAIL: Q dimensions got (%d, %d), want (3, 3)\n", qRows, qCols)
os.Exit(1)
}
var qTq mat.Dense
qTq.Mul(q.T(), &q)
ident3 := mat.NewDense(3, 3, []float64{
1, 0, 0,
0, 1, 0,
0, 0, 1,
})
if !mat.EqualApprox(&qTq, ident3, 1e-9) {
fmt.Fprintf(os.Stderr, "FAIL: Q is not orthonormal (Q^T * Q != I)\n")
os.Exit(1)
}
// Assertion 3: mat.QR.RTo extracts an upper triangular matrix R
rRows, rCols := r.Dims()
if rRows != 3 || rCols != 2 {
fmt.Fprintf(os.Stderr, "FAIL: R dimensions got (%d, %d), want (3, 2)\n", rRows, rCols)
os.Exit(1)
}
for i := 0; i < rRows; i++ {
for j := 0; j < rCols; j++ {
if i > j && math.Abs(r.At(i, j)) > 1e-9 {
fmt.Fprintf(os.Stderr, "FAIL: R is not upper triangular, non-zero at (%d, %d): %f\n", i, j, r.At(i, j))
os.Exit(1)
}
}
}
// Assertion 4: mat.QR.SolveTo solves the linear system A * X = B for a factorized matrix
aSquare := mat.NewDense(2, 2, []float64{
2, 1,
1, 3,
})
b := mat.NewDense(2, 1, []float64{
5,
5,
})
var qrSquare mat.QR
qrSquare.Factorize(aSquare)
var x mat.Dense
if err := qrSquare.SolveTo(&x, false, b); err != nil {
fmt.Fprintf(os.Stderr, "FAIL: SolveTo returned unexpected error: %v\n", err)
os.Exit(1)
}
if math.Abs(x.At(0, 0)-2.0) > 1e-9 || math.Abs(x.At(1, 0)-1.0) > 1e-9 {
fmt.Fprintf(os.Stderr, "FAIL: SolveTo solution mismatch: got [%f, %f], want [2.0, 1.0]\n", x.At(0, 0), x.At(1, 0))
os.Exit(1)
}
// Assertion 5: mat.QR.Factorize panics with ErrShape when the row count is less than the column count
shapePanicked := false
func() {
defer func() {
if r := recover(); r != nil {
shapePanicked = true
}
}()
aWide := mat.NewDense(2, 3, []float64{
1, 2, 3,
4, 5, 6,
})
var qrBad mat.QR
qrBad.Factorize(aWide)
}()
if !shapePanicked {
fmt.Fprintf(os.Stderr, "FAIL: Factorize did not panic when row count is less than column count\n")
os.Exit(1)
}
// Assertion 6: mat.QR panics when calling QTo, RTo, or SolveTo on an uninitialized factorization
uninitPanicked := false
func() {
defer func() {
if r := recover(); r != nil {
uninitPanicked = true
}
}()
var uninit mat.QR
var qUninit mat.Dense
uninit.QTo(&qUninit)
}()
if !uninitPanicked {
fmt.Fprintf(os.Stderr, "FAIL: QTo did not panic on uninitialized QR factorization\n")
os.Exit(1)
}
fmt.Println("All gonum mat.QR contract assertions passed.")
}
Origin Seeder
anonymous