inputMeta: map[string]string{"etag": "900150983cd24fb0d6963f7d28e17f73"}, inputDataSize: int64(len("abcd") - 1),
			expectedError: ioutil.ErrOverread,
		},

		// Validating for success cases.
		10: {bucketName: bucket, objName: object, inputData: []byte("abcd"), inputMeta: map[string]string{"etag": "e2fc714c4727ee9395f324cd2e7f331f"}, inputDataSize: int64(len("abcd"))},

   * This event will only be received when a Cache is configured for the client.
   */
  open fun cacheMiss(call: Call) {
  }

  /**
   * Invoked when a response will be served from the cache or network based on validating the
   * cached Response freshness. Will be followed by cacheHit or cacheMiss after the network
   * Response is available.
   *
   * This event will only be received when a Cache is configured for the client.
   */

    * Ви можете мати глибоко **вкладені JSON об'єкти** та перевірити та анотувати їх всі.
* **Розширюваність**:
    * Pydantic дозволяє визначати користувацькі типи даних або розширювати валідацію методами в моделі декоратором `validator`.

	if t, ok := config.Tiers[tierName]; ok {
		return t.Type, true
	}
	return madmin.Unsupported, false
}

// Add adds tier to config if it passes all validations.
func (config *TierConfigMgr) Add(ctx context.Context, tier madmin.TierConfig, ignoreInUse bool) error {
	config.Lock()
	defer config.Unlock()

	// check if tier name is in all caps
	tierName := tier.Name

## 선택가능한 의존성

Pydantic이 사용하는:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - 이메일 유효성 검사.

Starlette이 사용하는:

* <a href="https://www.python-httpx.org" target="_blank"><code>HTTPX</code></a> - `TestClient`를 사용하려면 필요.

## Opsiyonel Gereksinimler

Pydantic tarafında kullanılan:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - email doğrulaması için.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - ayar yönetimi için.

          <!--
            GWT issues some scary warnings while running tests, but I believe they are harmless.
            Let's take the warnings for one module, c.g.c.base.testModule, as an example:

              [INFO] Validating units:
              [INFO]    Ignored 53 units with compilation errors in first pass.
              [INFO] Compile with -strict or with -logLevel set to TRACE or DEBUG to see all errors.

		objectName string
		accessKey  string
		secretKey  string
		// expected output.
		expectedRespStatus int // expected response status body.
	}{
		// Test case - 1.
		// Fetching stat info of object and validating it.
		{
			bucketName:         bucketName,
			objectName:         objectName,
			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusOK,

    * Pydantic, JSON objen ne kadar derin (nested) olursa olsun doğrulamasını ve gösterimini yapıyor
* **Genişletilebilir**:
    * Pydantic özelleştirilmiş data tiplerinin tanımlanmasının yapılmasına izin veriyor ayrıca validator decoratorü ile senin doğrulamaları genişletip, kendi doğrulayıcılarını yazmana izin veriyor.

    * Sie können tief **verschachtelte JSON** Objekte haben, die alle validiert und annotiert sind.
* **Erweiterbar**:
    * Pydantic erlaubt die Definition von eigenen Datentypen oder sie können die Validierung mit einer `validator`-dekorierten Methode im Modell erweitern.