a clear, valuable commit history for our open-source projects. They apply to all contributors, 
fostering efficient reviews and robust code.

## Why Pull Requests?

Pull Requests (PRs) drive quality in MinIO’s codebase by:
- Enabling peer review without pair programming.
- Documenting changes for future reference.
- Ensuring commits tell a clear story of development.

**A poor commit lasts forever, even if code is refactored.**

    for the tests to pass.
-   Once the tests pass, we now bring all the code into the internal code base,
    using a job called "copybara".

**5. Copy to Google Internal codebase and run internal CI**

-   Once the PR is in the Google codebase, we make sure it integrates well with
    its dependencies and the rest of the system.
-   Rarely, If the tests fail at this stage, we cannot merge the code.

### 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()

Das ist besonders nützlich, wenn Sie es in einer **großen Codebasis** verwenden, in der Sie in **vielen *Pfadoperationen*** immer wieder **dieselben Abhängigkeiten** verwenden.

## `async` oder nicht `async`