api(libs.conscrypt.openjdk)
  api(libs.openjsse)

  api(rootProject.libs.junit.jupiter.engine)

  // This runs Corretto on macOS (aarch64) and Linux (x86_64). We don't test Corretto on other
  // operating systems or architectures.
  api(variantOf(libs.amazonCorretto) {
    classifier(
      when {
        OperatingSystem.current().isMacOsX -> "osx-aarch_64"
        OperatingSystem.current().isLinux -> "linux-x86_64"

### Container Images

All container images are available as manifest lists and support the described
architectures. It is also possible to pull a specific architecture directly by
adding the "-$ARCH" suffix  to the container image name.

name | architectures
---- | -------------

### Container Images

All container images are available as manifest lists and support the described
architectures. It is also possible to pull a specific architecture directly by
adding the "-$ARCH" suffix  to the container image name.
name | architectures
---- | -------------

### Container Images

All container images are available as manifest lists and support the described
architectures. It is also possible to pull a specific architecture directly by
adding the "-$ARCH" suffix  to the container image name.

name | architectures
---- | -------------

### Container Images

All container images are available as manifest lists and support the described
architectures. It is also possible to pull a specific architecture directly by
adding the "-$ARCH" suffix  to the container image name.

name | architectures
---- | -------------

### Container Images

All container images are available as manifest lists and support the described
architectures. It is also possible to pull a specific architecture directly by
adding the "-$ARCH" suffix  to the container image name.

name | architectures
---- | -------------

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}

/// 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* { #declare-a-path-parameter }

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):

 *
 * <p>This package contains the implementation of the Maven upgrade tool (mvnup) that helps
 * upgrade Maven projects to be compatible with Maven 4. The tool is organized around
 * a goal-based architecture with pluggable upgrade strategies.</p>
 *
 * <h2>Architecture Overview</h2>
 *
 * <h3>Goals</h3>
 * <ul>
 *   <li>{@link org.apache.maven.cling.invoker.mvnup.goals.Check} - Analyzes projects and reports needed upgrades</li>

mvn jacoco:report
```

### Release Process
```bash
# Sign artifacts (for releases)
mvn verify

# Deploy to Maven Central via Sonatype Central Portal
mvn deploy
```

## Architecture

### Core Components

- **`org.codelibs.curl.Curl`**: Static entry point providing factory methods for all HTTP methods (GET, POST, PUT, DELETE, HEAD, OPTIONS, CONNECT, TRACE)

@Deprecated(since = "4.0.0")
public class Os {

    /**
     * The OS Name.
     */
    public static final String OS_NAME = System.getProperty("os.name").toLowerCase(Locale.ENGLISH);

    /**
     * The OA architecture.
     */
    public static final String OS_ARCH = System.getProperty("os.arch").toLowerCase(Locale.ENGLISH);

    /**
     * The OS version.
     */