CodeSampleX

示例

github.com/beorn7/perks v1.0.1: compute approximate stream quantiles with targeted error bounds

已验证示例 — golang github.com/beorn7/perks v1.0.1: compute approximate stream quantiles with targeted error bounds. contract 在 go 1.26 · linux alpine/x64 …

sha256:e2c195316077c86ed0072fbd27f1e8676deb8520996c119d08345e3fb09fde03

本网络只提供一件事:能构建的样本。它在沙箱中运行并保留签名回执。它不评级、不担保——同样的代码能否在你的环境构建,它没有测量过。 提交了通过的契约回执的不同签名密钥数量。为 1 表示只有作者;大于 1 表示还有其他人构建过。密钥是自行生成的,背后没有注册身份,因此计的是密钥而非人。 MIT-0

执行证据

声明的环境与签名的运行分开呈现,你可以看到这个样本究竟运行了什么、在哪里运行。

证据依据
签名契约通过
验证回执
1
构建过它的签名密钥
1
声明的环境 linux 24 · ubuntu · glibc 2.39 amd64 go

验证运行环境

环境 契约 阶段 运行日期
go 1.26 · linux alpine/x64 · docker ed25519:c1973797be207ac4 PASS compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS
CONTAINER_RUN · golang@1golang:1.26-alpine@sha256:28d89ee9cc0f…
2026-08-28

案例

HOW
目标
compute approximate stream quantiles with targeted error bounds
包
符号
  • github.com/beorn7/perks/quantile.(*Stream).Insert
  • github.com/beorn7/perks/quantile.(*Stream).Query
  • github.com/beorn7/perks/quantile.NewTargeted
创建时间
2026-08-28T00:41:03Z

契约

  1. quantile.NewTargeted initializes a quantile Stream for specified quantile targets and error bounds
  2. quantile.Stream.Insert inserts float64 observations into the stream and increments Count
  3. quantile.Stream.Query computes approximate quantiles within configured error bounds
  4. quantile.Stream.Reset clears stream observations and resets Count to 0

文件

  • PROMPT.md
  • contract_test.go
  • csx.json
  • go.mod
  • go.sum
  • sample.go
  • spec.json

下载源代码构件 (tar.gz)

源代码

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: compute approximate stream quantiles with targeted error bounds
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).Insert
  - github.com/beorn7/perks/quantile.(*Stream).Query
  - github.com/beorn7/perks/quantile.NewTargeted

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.
contract_test.go
package sample

import (
	"math"
	"testing"
)

func TestContractQuantile(t *testing.T) {
	// 1. quantile.NewTargeted initializes a quantile Stream for specified quantile targets and error bounds
	targets := map[float64]float64{
		0.50: 0.01,
		0.90: 0.01,
		0.99: 0.001,
	}
	stream := NewTargetedStream(targets)
	if stream == nil {
		t.Fatal("expected non-nil stream from NewTargetedStream")
	}
	if count := stream.Count(); count != 0 {
		t.Fatalf("expected initial count 0, got %d", count)
	}

	// 2. quantile.Stream.Insert inserts float64 observations into the stream and increments Count
	n := 1000
	values := make([]float64, n)
	for i := 0; i < n; i++ {
		values[i] = float64(i + 1)
	}
	InsertValues(stream, values)

	if count := stream.Count(); count != n {
		t.Fatalf("expected count %d after insertions, got %d", n, count)
	}

	// 3. quantile.Stream.Query computes approximate quantiles within configured error bounds
	p50 := QueryQuantile(stream, 0.50)
	expectedP50 := 500.0
	if math.Abs(p50-expectedP50) > 20.0 {
		t.Fatalf("expected p50 within [480, 520], got %f", p50)
	}

	p90 := QueryQuantile(stream, 0.90)
	expectedP90 := 900.0
	if math.Abs(p90-expectedP90) > 20.0 {
		t.Fatalf("expected p90 within [880, 920], got %f", p90)
	}

	p99 := QueryQuantile(stream, 0.99)
	expectedP99 := 990.0
	if math.Abs(p99-expectedP99) > 15.0 {
		t.Fatalf("expected p99 within [975, 1000], got %f", p99)
	}

	// 4. quantile.Stream.Reset clears stream observations and resets Count to 0
	ResetStream(stream)
	if count := stream.Count(); count != 0 {
		t.Fatalf("expected count 0 after reset, got %d", count)
	}
}
csx.json
{"case":{"caseId":"case:sha256:3eb659688258c2a47af50f0c0cf312972acac4d1dd2721b6355fc0e807d327cf","contract":["quantile.NewTargeted initializes a quantile Stream for specified quantile targets and error bounds","quantile.Stream.Insert inserts float64 observations into the stream and increments Count","quantile.Stream.Query computes approximate quantiles within configured error bounds","quantile.Stream.Reset clears stream observations and resets Count to 0"],"goal":"compute approximate stream quantiles with targeted error bounds","kind":"HOW","packages":["pkg:golang/github.com/beorn7/perks@v1.0.1"],"schemaVersion":1,"symbols":["github.com/beorn7/perks/quantile.(*Stream).Insert","github.com/beorn7/perks/quantile.(*Stream).Query","github.com/beorn7/perks/quantile.NewTargeted"]},"contractCommand":["go","test","./..."],"environment":{"arch":"amd64","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).Insert","github.com/beorn7/perks/quantile.(*Stream).Query","github.com/beorn7/perks/quantile.NewTargeted"],"verifierAdapter":"golang@1"}
go.mod
module example.com/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=
sample.go
package sample

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

// NewTargetedStream creates a new Stream targeting specific quantiles and invariant tolerances.
func NewTargetedStream(targets map[float64]float64) *quantile.Stream {
	return quantile.NewTargeted(targets)
}

// InsertValues inserts a slice of float64 data points into the quantile stream.
func InsertValues(stream *quantile.Stream, values []float64) {
	for _, v := range values {
		stream.Insert(v)
	}
}

// QueryQuantile queries the estimated value for a given quantile q (0.0 <= q <= 1.0).
func QueryQuantile(stream *quantile.Stream, q float64) float64 {
	return stream.Query(q)
}

// ResetStream clears all recorded data from the stream.
func ResetStream(stream *quantile.Stream) {
	stream.Reset()
}
spec.json
{
  "schemaVersion": 1,
  "goal": "compute approximate stream quantiles with targeted error bounds",
  "kind": "HOW",
  "packages": [
    "pkg:golang/github.com/beorn7/perks@v1.0.1"
  ],
  "symbols": [
    "github.com/beorn7/perks/quantile.(*Stream).Insert",
    "github.com/beorn7/perks/quantile.(*Stream).Query",
    "github.com/beorn7/perks/quantile.NewTargeted"
  ]
}

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