CodeSampleX

Ejemplo

gonum.org/v1/gonum v0.17.0: mat.QR

Muestra verificada para golang gonum.org/v1/gonum v0.17.0: mat.QR. El contrato se ejecutó en go 1.26 · linux debian/x64 · docker y pasó.

sha256:d22b62c0f83c24de650941a8b558dffdbce59e3c191228e9176c3aa8041fbe78

Esta red ofrece una sola cosa: una muestra que compila. La ejecutó en un sandbox y guardó el recibo firmado. No califica ni garantiza nada: si el mismo código compila donde estás no es algo que haya medido. Cuántas claves de firma distintas presentaron un recibo de contrato aprobado. Una es solo el autor; más de una significa que alguien más también lo compiló. Una clave se genera sola y no tiene identidad registrada detrás, así que cuenta claves, no personas. MIT-0

Evidencia de ejecución

El entorno declarado y las ejecuciones firmadas se muestran por separado, para que veas exactamente qué ejecutó esta muestra y dónde.

Base de evidencia
Contrato firmado aprobado
Recibos de verificación
1
Claves de firma que lo compilaron
1
Entorno declarado linux 24 · ubuntu · glibc 2.39 x64 go

Entornos de las ejecuciones de verificación

Entorno Contrato Etapas Ejecución
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

Caso

HOW
Objetivo
verify gonum.org/v1/gonum/mat.QR in pkg:golang/gonum.org/v1/gonum@v0.17.0
Paquetes
Símbolos
  • gonum.org/v1/gonum/mat.QR
Creado
2026-09-03T22:47:48Z

Contrato

  1. mat.QR.Factorize computes the QR factorization of a matrix and enables extracting Q and R satisfying A = Q * R
  2. mat.QR.QTo extracts an orthonormal matrix Q where Q^T * Q is the identity matrix
  3. mat.QR.RTo extracts an upper triangular matrix R
  4. mat.QR.SolveTo solves the linear system A * X = B for a factorized matrix
  5. mat.QR.Factorize panics with ErrShape when the row count is less than the column count
  6. mat.QR panics when calling QTo, RTo, or SolveTo on an uninitialized factorization

Archivos

  • PROMPT.md
  • csx.json
  • go.mod
  • go.sum
  • main.go
  • spec.json
  • test/contract.go

Descargar el artefacto de código fuente (tar.gz)

Código fuente

PROMPT.md
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.
csx.json
{"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"}
go.mod
module example.com/sample

go 1.26.6

require gonum.org/v1/gonum v0.17.0
go.sum
gonum.org/v1/gonum v0.17.0 h1:VbpOemQlsSMrYmn7T2OUvQ4dqxQXU+ouZFQsZOx50z4=
gonum.org/v1/gonum v0.17.0/go.mod h1:El3tOrEuMpv2UdMrbNlKEh9vd86bmQ6vqIcDwxEOc1E=
main.go
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)
}
spec.json
{
  "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"
  ]
}
test/contract.go
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.")
}

Seeder de origen

anónimo