} else {
						// Don't bother giving the match conditions, the problem is that there are unknowns in the VirtualService
						mismatchNotes = append(mismatchNotes,
							fmt.Sprintf("Warning: Route to UNKNOWN subset %s; check DestinationRule %s", dest.Destination.Subset, kname(dr.ObjectMeta)))
					}
					continue
				}
			}

			match = true
			if dest.Weight > 0 {

labels.configId=Config ID
labels.configParameter=Config Parameters
labels.content=Content
labels.csvFileEncoding=CSV Encoding
labels.defaultLabelValue=Default Label
labels.designFileName=File Name
labels.incrementalCrawling=Check Last Modified
labels.errorCount=Error Count
labels.errorLog=Error Log
labels.errorName=Error Name
labels.expiredTime=Expired
labels.expires=Expired
labels.failureCountThreshold=Failure Count

            private Model findRawModel(Path from, String groupId, String artifactId) {
                FileModelSource source = getSource(groupId, artifactId);
                if (source == null) {
                    // we need to check the whole reactor in case it's a dependency
                    loadFullReactor();
                    source = getSource(groupId, artifactId);
                }
                if (source != null) {

```

注意，此处把 `current_user` 的类型声明为 Pydantic 的 `User` 模型。

这有助于在函数内部使用代码补全和类型检查。

/// tip | "提示"

还记得请求体也是使用 Pydantic 模型声明的吧。

放心，因为使用了 `Depends`，**FastAPI** 不会搞混。

///

/// check | "检查"

依赖系统的这种设计方式可以支持不同的依赖项返回同一个 `User` 模型。

而不是局限于只能有一个返回该类型数据的依赖项。

///

## 其它模型

接下来，直接在*路径操作函数*中获取当前用户，并用 `Depends` 在**依赖注入**系统中处理安全机制。

开发者可以使用任何模型或数据满足安全需求（本例中是 Pydantic 的 `User` 模型）。

    except (RuntimeError, PydanticSchemaGenerationError):
        raise fastapi.exceptions.FastAPIError(
            "Invalid args for response field! Hint: "
            f"check that {type_} is a valid Pydantic field type. "
            "If you are using a return type annotation that is not a valid Pydantic "
            "field (e.g. Union[Response, dict, None]) you can disable generating the "

	logger.LogOnceIf(ctx, logSubsys, err, id, errKind...)
}

// ErrTargetsOffline - Indicates single/multiple target failures.
var ErrTargetsOffline = errors.New("one or more targets are offline. Please use `mc admin info --json` to check the offline targets")

// TestSubSysLambdaTargets - tests notification targets of given subsystem
func TestSubSysLambdaTargets(ctx context.Context, cfg config.Config, subSys string, transport *http.Transport) error {

```

////

With this, we get tooling support, from editors and mypy as this code is correct in terms of types, but we also get the data filtering from FastAPI.

How does this work? Let's check that out. 🤓

### Type Annotations and Tooling

First let's see how editors, mypy and other tools would see this.

  fun successfulCheckSha1Pin() {
    val certificatePinner =
      CertificatePinner.Builder()
        .add("example.com", "sha1/" + certA1.certificate.sha1Hash().base64())
        .build()

    certificatePinner.check("example.com", listOf(certA1.certificate))
  }

  @Test fun successfulFindMatchingPins() {
    val certificatePinner =
      CertificatePinner.Builder()
        .add("first.com", certA1Sha256Pin, certB1Sha256Pin)

   * array nor its contents can be null, but it is not useful to force the use of {@code
   * requireNonNull} or the like just to assert that.
   *
   * <p>{@code EqualsTester} will always check that every object it is given returns false from
   * {@code equals(null)}, so it is neither useful nor allowed to include a null value in any
   * equality group.
   */
  @CanIgnoreReturnValue

                DependencyScope.SYSTEM.id(),
                DependencyScope.SYSTEM.isTransitive(),
                all(),
                MavenArtifactProperties.LOCAL_PATH));

        // == sanity check
        if (result.size() != org.apache.maven.api.DependencyScope.values().length - 1) { // sans "undefined"
            throw new IllegalStateException("Maven4 API dependency scope mismatch");
        }