CodeSampleX

Sample

github.com/beorn7/perks v1.0.1: quantile.Stream

Verified sample for golang github.com/beorn7/perks v1.0.1: quantile.Stream. The contract ran on go 1.26 · linux debian/x64 · docker and passed.

sha256:fb13e8511e4a621b8333ba9fce2a931a99547306d0f277a2a03ed36850cf2b5d

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…
2026-09-06

Case

HOW
Goal
verify github.com/beorn7/perks/quantile.Stream in pkg:golang/github.com/beorn7/perks@v1.0.1
Packages
Symbols
  • github.com/beorn7/perks/quantile.Stream
Created
2026-09-06T00:57:33Z

Contract

  1. quantile.NewTargeted initializes a quantile Stream with zero observations
  2. Stream.Insert adds float64 observations and Stream.Count tracks the total count
  3. Stream.Query calculates approximate quantiles within configured error bounds
  4. Stream.Samples returns retained sample representations from the stream
  5. Stream.Reset clears stream observations and resets Count to zero

Files

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

Download the source artifact (tar.gz)

Source

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 github.com/beorn7/perks/quantile.Stream in pkg:golang/github.com/beorn7/perks@v1.0.1
Kind: HOW

Use EXACTLY these public packages and versions:
  - pkg:golang/github.com/beorn7/perks@v1.0.1
Demonstrate these symbols/APIs:
  - github.com/beorn7/perks/quantile.Stream

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:sha256:494d5fdbcef1f0b07c4ab34dfb912c6b8eb4639beed7f2006234acb8775ee918","contract":["quantile.NewTargeted initializes a quantile Stream with zero observations","Stream.Insert adds float64 observations and Stream.Count tracks the total count","Stream.Query calculates approximate quantiles within configured error bounds","Stream.Samples returns retained sample representations from the stream","Stream.Reset clears stream observations and resets Count to zero"],"goal":"verify github.com/beorn7/perks/quantile.Stream in pkg:golang/github.com/beorn7/perks@v1.0.1","kind":"HOW","packages":["pkg:golang/github.com/beorn7/perks@v1.0.1"],"schemaVersion":1,"symbols":["github.com/beorn7/perks/quantile.Stream"]},"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/github.com/beorn7/perks@v1.0.1"],"schemaVersion":1,"subject":"pkg:golang/github.com/beorn7/perks@v1.0.1","symbols":["github.com/beorn7/perks/quantile.Stream"],"verifierAdapter":"golang@1"}
go.mod
module sample

go 1.26.6

require github.com/beorn7/perks v1.0.1
go.sum
github.com/beorn7/perks v1.0.1 h1:VlbKKnNfV8bJzeqoa4cOKqO6bYr3WgKZxO8Z16+hsOM=
github.com/beorn7/perks v1.0.1/go.mod h1:G2ZrVWU2WbWT9wwq4/hrbKbnv/1ERSJQ0ibhJ6rlkpw=
main.go
package main

import (
	"fmt"

	"github.com/beorn7/perks/quantile"
)

func main() {
	// Configure targeted quantiles with desired absolute error tolerance
	targets := map[float64]float64{
		0.50: 0.01,
		0.90: 0.01,
		0.99: 0.001,
	}

	// Create a new stream targeting the specified quantiles
	stream := quantile.NewTargeted(targets)

	// Stream synthetic observations (1.0 through 1000.0)
	for i := 1; i <= 1000; i++ {
		stream.Insert(float64(i))
	}

	fmt.Printf("Total observations: %d\n", stream.Count())
	fmt.Printf("p50 estimate: %.2f\n", stream.Query(0.50))
	fmt.Printf("p90 estimate: %.2f\n", stream.Query(0.90))
	fmt.Printf("p99 estimate: %.2f\n", stream.Query(0.99))

	// Inspect retained samples
	samples := stream.Samples()
	fmt.Printf("Sample points retained: %d\n", len(samples))

	// Reset stream observations
	stream.Reset()
	fmt.Printf("Observations after reset: %d\n", stream.Count())
}
spec.json
{
  "schemaVersion": 1,
  "goal": "verify github.com/beorn7/perks/quantile.Stream in pkg:golang/github.com/beorn7/perks@v1.0.1",
  "kind": "HOW",
  "packages": [
    "pkg:golang/github.com/beorn7/perks@v1.0.1"
  ],
  "symbols": [
    "github.com/beorn7/perks/quantile.Stream"
  ]
}
test/contract.go
package main

import (
	"fmt"
	"math"
	"os"

	"github.com/beorn7/perks/quantile"
)

func main() {
	// Assertion 1: quantile.NewTargeted initializes a quantile Stream with zero observations
	{
		targets := map[float64]float64{
			0.50: 0.01,
			0.90: 0.01,
			0.99: 0.001,
		}
		stream := quantile.NewTargeted(targets)
		if stream == nil {
			fmt.Fprintf(os.Stderr, "assertion 1 failed: expected non-nil stream from NewTargeted\n")
			os.Exit(1)
		}
		if count := stream.Count(); count != 0 {
			fmt.Fprintf(os.Stderr, "assertion 1 failed: expected initial count 0, got %d\n", count)
			os.Exit(1)
		}

		lowBiased := quantile.NewLowBiased(0.01)
		if lowBiased == nil || lowBiased.Count() != 0 {
			fmt.Fprintf(os.Stderr, "assertion 1 failed: expected non-nil lowBiased stream with count 0\n")
			os.Exit(1)
		}
	}

	// Assertion 2: Stream.Insert adds float64 observations and Stream.Count tracks the total count
	{
		stream := quantile.NewTargeted(map[float64]float64{0.50: 0.01})
		for i := 1; i <= 250; i++ {
			stream.Insert(float64(i))
		}
		if count := stream.Count(); count != 250 {
			fmt.Fprintf(os.Stderr, "assertion 2 failed: expected count 250, got %d\n", count)
			os.Exit(1)
		}

		for i := 251; i <= 500; i++ {
			stream.Insert(float64(i))
		}
		if count := stream.Count(); count != 500 {
			fmt.Fprintf(os.Stderr, "assertion 2 failed: expected count 500, got %d\n", count)
			os.Exit(1)
		}
	}

	// Assertion 3: Stream.Query calculates approximate quantiles within configured error bounds
	{
		stream := quantile.NewTargeted(map[float64]float64{
			0.50: 0.01,
			0.90: 0.01,
			0.99: 0.001,
		})
		n := 1000
		for i := 1; i <= n; i++ {
			stream.Insert(float64(i))
		}

		p50 := stream.Query(0.50)
		if math.Abs(p50-500.0) > 20.0 {
			fmt.Fprintf(os.Stderr, "assertion 3 failed: expected p50 near 500.0, got %f\n", p50)
			os.Exit(1)
		}

		p90 := stream.Query(0.90)
		if math.Abs(p90-900.0) > 20.0 {
			fmt.Fprintf(os.Stderr, "assertion 3 failed: expected p90 near 900.0, got %f\n", p90)
			os.Exit(1)
		}

		p99 := stream.Query(0.99)
		if math.Abs(p99-990.0) > 15.0 {
			fmt.Fprintf(os.Stderr, "assertion 3 failed: expected p99 near 990.0, got %f\n", p99)
			os.Exit(1)
		}
	}

	// Assertion 4: Stream.Samples returns retained sample representations from the stream
	{
		stream := quantile.NewTargeted(map[float64]float64{0.50: 0.01})
		for i := 1; i <= 600; i++ {
			stream.Insert(float64(i))
		}
		samples := stream.Samples()
		if len(samples) == 0 {
			fmt.Fprintf(os.Stderr, "assertion 4 failed: expected non-empty samples slice\n")
			os.Exit(1)
		}
		for _, s := range samples {
			if s.Value <= 0 || s.Width <= 0 {
				fmt.Fprintf(os.Stderr, "assertion 4 failed: invalid sample value or width: %+v\n", s)
				os.Exit(1)
			}
		}
	}

	// Assertion 5: Stream.Reset clears stream observations and resets Count to zero
	{
		stream := quantile.NewTargeted(map[float64]float64{0.50: 0.01})
		for i := 1; i <= 100; i++ {
			stream.Insert(float64(i))
		}
		if stream.Count() != 100 {
			fmt.Fprintf(os.Stderr, "assertion 5 failed: expected count 100 before reset, got %d\n", stream.Count())
			os.Exit(1)
		}

		stream.Reset()
		if count := stream.Count(); count != 0 {
			fmt.Fprintf(os.Stderr, "assertion 5 failed: expected count 0 after reset, got %d\n", count)
			os.Exit(1)
		}
		if q0 := stream.Query(0.50); q0 != 0 {
			fmt.Fprintf(os.Stderr, "assertion 5 failed: expected query 0 on empty stream, got %f\n", q0)
			os.Exit(1)
		}
	}

	fmt.Println("All contract assertions passed successfully.")
}

Origin Seeder

anonymous