t.Helper()

	ctx := cli.NewFakeContext(&cli.NewFakeContextOption{
		Namespace:      c.namespace,
		IstioNamespace: c.istioNamespace,
		Results:        c.configDumps,
	})
	client, err := ctx.CLIClient()
	assert.NoError(t, err)
	// Override the Istio config factory
	for i := range c.istioConfigs {
		switch t := c.istioConfigs[i].(type) {

  public void testToString() {
    for (String inputName : SOMEWHERE_UNDER_PS) {
      InternetDomainName domain = InternetDomainName.from(inputName);

      /*
       * We would ordinarily use constants for the expected results, but
       * doing it by derivation allows us to reuse the test case definitions
       * used in other tests.
       */

      String expectedName = Ascii.toLowerCase(inputName);

/// info | "정보"

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">열거형(또는 enums)</a>은 파이썬 버전 3.4 이후로 사용 가능합니다.

///

/// tip | "팁"

혹시 궁금하다면, "AlexNet", "ResNet", 그리고 "LeNet"은 그저 기계 학습 <abbr title="기술적으로 정확히는 딥 러닝 모델 구조">모델</abbr>들의 이름입니다.

///

### *경로 매개변수* 선언

생성한 열거형 클래스(`ModelName`)를 사용하는 타입 어노테이션으로 *경로 매개변수*를 만듭니다:

```Python hl_lines="16"

# Broken IPv6
http://[google.com]

# Misc Unicode
http://foo:\uD83D\******@****.***/bar  s:http h:example.com p:/bar u:foo pass:%F0%9F%92%A9

# resolving a relative reference against an unknown scheme results in an error

### Read Heroes

We can **read** `Hero`s from the database using a `select()`. We can include a `limit` and `offset` to paginate the results.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[48:55] hl[51:52,54] *}

### Read One Hero

We can **read** a single `Hero`.

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Enumerations (or enums) are available in Python</a> since version 3.4.

///

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

### Declare a *path parameter*

///

/// tip | Consejo

Si lo estás dudando, "AlexNet", "ResNet", y "LeNet" son solo nombres de <abbr title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</abbr> de Machine Learning.

///

### Declara un *parámetro de path*

///

/// tip | "İpucu"

Merak ediyorsanız söyleyeyim, "AlexNet", "ResNet" ve "LeNet" isimleri Makine Öğrenmesi <abbr title="Teknik olarak, Derin Öğrenme model mimarileri">modellerini</abbr> temsil eder.

///

### Bir *Yol Parametresi* Tanımlayalım

///

/// tip | "Astuce"

Pour ceux qui se demandent, "AlexNet", "ResNet", et "LeNet" sont juste des noms de <abbr title="Techniquement, des architectures de modèles">modèles</abbr> de Machine Learning.

///

### Déclarer un paramètre de chemin

 *       not support this directly, either, but ClassGraph documents how to <a
 *       href="https://github.com/classgraph/classgraph/wiki/Build-Time-Scanning">perform build-time
 *       classpath scanning and make the results available to an Android app</a>.)
 *   <li>Like all of Guava, it is not tested under Windows. We have gotten <a
 *       href="https://github.com/google/guava/issues/2130">a report of a specific bug under
 *       Windows</a>.