Replication relies on immutability provided by versioning to sync objects between the configured source and replication target. Replication results in the object data, metadata, last modification time and version ID all being identical between the source and target. Thus version ordering is automatically guaranteed on the source and target clusters.

### Replication of object version and metadata

     *
     * @param <KEY> the key type of the <code>Map</code>
     * @param <VALUE> the value type of the <code>Map</code>
     * @param key the key to be added to the <code>Map</code>
     * @param value the value to be added to the <code>Map</code>
     * @return a {@literal Maps} for constructing a {@link Map} with the specified key and value
     */

Remember that when you import `Query`, `Path`, and others from `fastapi`, those are actually functions that return special classes.

///

/// tip

Notice how each model's attribute with a type, default value and `Field` has the same structure as a *path operation function's* parameter, with `Field` instead of `Path`, `Query` and `Body`.

///

## MinIO Docker Tips

### MinIO Custom Access and Secret Keys

To override MinIO's auto-generated keys, you may pass secret and access keys explicitly as environment variables. MinIO server also allows regular strings as access and secret keys.

#### GNU/Linux and macOS (custom access and secret keys)

```sh
docker run \
  -p 9000:9000 \
  -p 9001:9001 \
  --name minio1 \

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

But with all the benefits:

* Editor support (completion everywhere!)

// implementation-specific way and writes the result to standard error.
// Print is useful for bootstrapping and debugging; it is not guaranteed
// to stay in the language.
func print(args ...Type)

// The println built-in function formats its arguments in an
// implementation-specific way and writes the result to standard error.
// Spaces are always added between arguments and a newline is appended.

first connect fails. This is necessary for IPv4+IPv6 and services hosted in redundant data
centers. OkHttp supports modern TLS features (TLS 1.3, ALPN, certificate pinning). It can be
configured to fall back for broad connectivity.

Using OkHttp is easy. Its request/response API is designed with fluent builders and immutability. It
supports both synchronous blocking calls and async calls with callbacks.

A well behaved user agent

In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is.

Later, for your production application, you might want to use a database server like **PostgreSQL**.

/// tip

They're also concrete: each URL identifies a specific path (like `/square/okhttp`) and query (like `?q=sharks&lang=en`). Each webserver hosts many URLs.

### [Addresses](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-address/)

Addresses specify a webserver (like `github.com`) and all of the **static** configuration necessary to connect to that server: the port number, HTTPS settings, and preferred network protocols (like HTTP/2).

- Dynamic Resource Allocator (DRA): Enhanced validation for the ResourceClaimParametersReference and ResourceClassParametersReference with the following rules:
  
  1. `apiGroup`: If set, it must be a valid DNS subdomain (e.g. 'example.com').