there, we need to do several things to add capability to the default
  configuration of plexus. This document will detail those changes.

Container Enhancements

* ExpressionEvaluator

  Currently, the expression evaluator used to resolve configuration values
  is the DefaultExpressionEvaluator, which is a local variable within the
  implementation of the BasicComponentConfigurator. This ExpressionEvaluator

import org.jetbrains.kotlin.analysis.api.descriptors.KtFe10AnalysisSession
import org.jetbrains.kotlin.psi.*
import org.jetbrains.kotlin.resolve.BindingContext

@OptIn(KtAnalysisNonPublicApi::class) // used in IDEA K1 evaluator
@Suppress("unused")
fun KtAnalysisSession.getInlineFunctionAnalyzer(analyzeOnlyReifiedInlineFunctions: Boolean): InlineFunctionAnalyzer {
    require(this is KtFe10AnalysisSession) {

import org.jetbrains.kotlin.psi.KtElement
import org.jetbrains.kotlin.resolve.constants.evaluate.CompileTimeType
import org.jetbrains.kotlin.resolve.constants.evaluate.evalBinaryOp
import org.jetbrains.kotlin.resolve.constants.evaluate.evalUnaryOp
import org.jetbrains.kotlin.types.ConstantValueKind

/**

  // Required.
  optional string key = 1;

  // valueExpression represents the expression which is evaluated by CEL to
  // produce an audit annotation value. The expression must evaluate to either
  // a string or null value. If the expression evaluates to a string, the
  // audit annotation is included with the string value. If the expression
  // evaluates to null or empty string the audit annotation will be omitted.

    val statement: Statement =
      rule.apply(
        object : Statement() {
          override fun evaluate() {
            called.set(true)
            rule.server.url("/").toUrl().openConnection().connect()
          }
        },
        Description.EMPTY,
      )
    statement.evaluate()
    assertThat(called.get()).isTrue()
    try {
      rule.server.url("/").toUrl().openConnection().connect()

  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // Spec holds information about the pod being evaluated
  optional ImageReviewSpec spec = 2;

  // Status is filled in by the backend and indicates whether the pod should be allowed.
  // +optional
  optional ImageReviewStatus status = 3;
}

Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).

## Run Standalone MinIO on Docker

*Note*: Standalone MinIO is intended for early development and evaluation. For production clusters, deploy a [Distributed](https://min.io/docs/minio/container/operations/install-deploy-manage/deploy-minio-single-node-multi-drive.html) MinIO deployment.

By considering these concepts, you will be able to **evaluate and design** the best way to deploy **your own APIs**.

In the next chapters, I'll give you more **concrete recipes** to deploy FastAPI applications.

    * These "tags" are especially useful for the automatic interactive documentation systems (using OpenAPI).
* All of them will include the predefined `responses`.
* All these *path operations* will have the list of `dependencies` evaluated/executed before them.
    * If you also declare dependencies in a specific *path operation*, **they will be executed too**.

   ([#123611](https://github.com/kubernetes/kubernetes/pull/123611),...