### Core Features
- **Per-context configuration**: No global state, each context encapsulates configuration
- **Authentication**: NTLM, Kerberos, SPNEGO unified subsystem
- **SLF4J Logging**: Comprehensive logging throughout the codebase
- **Resource Management**: AutoCloseable patterns for file handles and connections
- **Thread Safety**: Components support concurrent access
- **DFS Support**: Distributed File System resolution

* Startup and shutdown events.
* Test client built on HTTPX.
* **CORS**, GZip, Static Files, Streaming responses.
* **Session and Cookie** support.
* 100% test coverage.
* 100% type annotated codebase.

## Pydantic features { #pydantic-features }

* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.
* CORS, GZip, Static Files, Streaming responses.
* Session and Cookie support.
* 100% test coverage.
* 100% type annotated codebase.
* Few hard dependencies.

Starlette is currently the fastest Python framework tested. Only surpassed by Uvicorn, which is not a framework, but a server.

			f.Readable = true
		})
	}
}

func TestEmbeddedStruct(t *testing.T) {
	type CorpBase struct {
		gorm.Model
		OwnerID string
	}

	type Company struct {
		ID      int
		OwnerID int
		Name    string
		Ignored string `gorm:"-"`
	}

	type Corp struct {
		CorpBase
		Base Company `gorm:"embedded;embeddedPrefix:company_"`
	}

        -  It could also be a simple python or TF utility that you could easily copy over to your own codebase. In those case, just make it your own!
        -  If you believe it should definitely be a public Keras API, please open a feature request in keras GitHub repo.

            buf.append(' ').append(fileName);
        }
        final String bodyBase = buf.toString().trim();
        responseData.addMetaData(Extractor.class.getSimpleName(), extractor);
        final String body = documentHelper.getContent(crawlingConfig, responseData, bodyBase, dataMap);
        putResultDataBody(dataMap, fessConfig.getIndexFieldContent(), body);

One of the **biggest benefits** is that now you can create `Annotated` dependencies that are then shared by multiple *path operation functions*, this will allow you to **reduce** a lot of **code duplication** in your codebase, while keeping all the support from editors and tools.

For example, you could have code like this:

```Python
def get_current_user(token: str):
    # authenticate user
    return User()

      <key>package</key>
      <value>org.apache.maven.model</value>
    </default>
  </defaults>
  <classes>
    <class rootElement="true" xml.tagName="project">
      <name>Model</name>
      <superClass>ModelBase</superClass>
      <description>
        The {@code &lt;project>} element is the root of the descriptor.
        The following table lists all of the possible child elements.
      </description>