o = msgp.Require(b, z.Msgsize())
	// check for omitted fields
	zb0001Len := uint32(1)
	var zb0001Mask uint8 /* 1 bits */
	_ = zb0001Mask
	if z.ObjectV2 == nil {
		zb0001Len--
		zb0001Mask |= 0x1
	}
	// variable map header, size zb0001Len
	o = append(o, 0x80|uint8(zb0001Len))
	if zb0001Len == 0 {
		return
	}
	if (zb0001Mask & 0x1) == 0 { // if not omitted
		// string "V2Obj"

}

[data-termynal]:before {
    content: '';
    position: absolute;
    top: 15px;
    left: 15px;
    display: inline-block;
    width: 15px;
    height: 15px;
    border-radius: 50%;
    /* A little hack to display the window buttons in one pseudo element. */
    background: #d9515d;
    -webkit-box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
            box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
}

      <url>http://svn.apache.org/maven-snapshot-repository</url>
      <releases>
        <enabled>false</enabled>
      </releases>
    </repository>
  </repositories>
  <distributionManagement>
    <!-- Site omitted - each project must provide their own -->
    <repository>
      <id>apache.releases</id>
      <name>Apache Release Distribution Repository</name>

</pre>
```

</div>

It is **HIGHLY encouraged** that you write or copy the code, edit it and run it locally.

Using it in your editor is what really shows you the benefits of FastAPI, seeing how little code you have to write, all the type checks, autocompletion, etc.

---

## Install FastAPI

The first step is to install FastAPI:

<div class="termy">

```console
$ pip install fastapi

From the list of deployment concepts from above, using workers would mainly help with the **replication** part, and a little bit with the **restarts**, but you still need to take care of the others:

* **Security - HTTPS**
* **Running on startup**
* ***Restarts***
* Replication (the number of processes running)
* **Memory**

        construct the layer with LSTM(recurrent_activation='hard_sigmoid') to
        fallback to 1.x behavior.
*   TensorFlow Lite
    *   Move from `tensorflow/contrib/lite` to `tensorflow/lite`.
    *   Add experimental Java API for injecting TensorFlow Lite delegates
    *   Add support for strings in TensorFlow Lite Java API.
*   `tf.contrib`:
    *   Add Apache Ignite Filesystem plugin to support accessing Apache IGFS.

//	policy mapping
//
//	policy=... -> repeatable query parameter, specifying policy to query for
//	user/group mapping
//
// When all query parameters are omitted, returns mappings for all policies.
func (a adminAPIHandlers) ListLDAPPolicyMappingEntities(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	// Check authorization.

```

</div>

That would work for most of the cases. 😎

You could use that command for example to start your **FastAPI** app in a container, in a server, etc.

## ASGI Servers

Let's go a little deeper into the details.

FastAPI uses a standard for building Python web frameworks and servers called <abbr title="Asynchronous Server Gateway Interface">ASGI</abbr>. FastAPI is an ASGI web framework.

This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).

     * full range), snapshots are banned if root project is not a snapshot, and if range for {@code org.foo:bar} is
     * being processed, version 1 is omitted.
     *
     * @since 4.0.0
     */
    private static final String MAVEN_VERSION_FILTERS = "maven.versionFilters";

    /**