CodeSampleX

Exemplo

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

Amostra verificada para golang gonum.org/v1/gonum v0.17.0: mat.QR. O contrato rodou em go 1.26 · linux debian/x64 · docker e passou.

sha256:d22b62c0f83c24de650941a8b558dffdbce59e3c191228e9176c3aa8041fbe78

Esta rede oferece uma coisa: uma amostra que compila. Ela a executou em um sandbox e guardou o recibo assinado. Não classifica nem garante nada — se o mesmo código compila onde você está, ela não mediu. Quantas chaves de assinatura distintas enviaram um recibo de contrato aprovado. Uma é só o autor; mais de uma significa que outra pessoa também o compilou. Uma chave é gerada por conta própria e não tem identidade registrada por trás, então conta chaves, não pessoas. MIT-0

Evidência de execução

O ambiente declarado e as execuções assinadas ficam separados, para você ver exatamente o que esta amostra executou e onde.

Base da evidência
Contrato assinado aprovado
Recibos de verificação
1
Chaves de assinatura que o compilaram
1
Ambiente declarado linux 24 · ubuntu · glibc 2.39 x64 go

Ambientes das execuções de verificação

Ambiente Contrato Etapas Execução
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
Pacotes
Símbolos
  • gonum.org/v1/gonum/mat.QR
Criado
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

Arquivos

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

Baixar o artefato de código-fonte (tar.gz)

Código-fonte

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 origem

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