# generated artifacts like .whl files, and "script.log", from the script.
# Note that files created under Docker will be owned by "root".
ls build_output
```

## Contribution & Maintenance

The TensorFlow team does not yet have guidelines in place for contributing to
this directory. We are working on it. Please join a TF SIG Build meeting (see:
bit.ly/tf-sig-build-notes) if you'd like to discuss the future of contributions.

///

Dies ist natürlich nicht das Frontend für die Endbenutzer, aber es ist ein großartiges automatisches Tool, um Ihre gesamte API interaktiv zu dokumentieren.

Es kann vom Frontend-Team verwendet werden (das auch Sie selbst sein können).

Es kann von Anwendungen und Systemen Dritter verwendet werden.

Und es kann auch von Ihnen selbst verwendet werden, um dieselbe Anwendung zu debuggen, zu prüfen und zu testen.

// + Imported to CVS (tagged as 'start').
//
// Revision 0.1.0.0  1997/07/14  R. Naffah
// + original version
//
// $Endlog$
/*
 * Copyright (c) 1997 Systemics Ltd
 * on behalf of the Cryptix Development Team.  All rights reserved.
 */

package jcifs.smb1.util;

import java.security.MessageDigest;

/**
 * Implements the MD4 message digest algorithm in Java.
 * <p>
 * <b>References:</b>
 * <ol>

researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

<dict>
	<key>keychain-access-groups</key>
	<array><string>` + appID + `</string></array>
	<key>get-task-allow</key>
	<true/>
	<key>application-identifier</key>
	<string>` + appID + `</string>
	<key>com.apple.developer.team-identifier</key>
	<string>` + teamID + `</string>
</dict>
</plist>
`
}

const resourceRules = `<?xml version="1.0" encoding="UTF-8"?>

<small>* Stima basata sull'esito di test eseguiti su codice sorgente di applicazioni rilasciate in produzione da un team interno di sviluppatori.</small>

## Sponsor

<!-- sponsors -->

{% if sponsors %}
{% for sponsor in sponsors.gold -%}

<small>* estimation based on tests on an internal development team, building production applications.</small>

## Sponsors { #sponsors }

<!-- sponsors -->

{% if sponsors %}
{% for sponsor in sponsors.gold -%}

## Meningen

"_[...] Ik gebruik **FastAPI** heel vaak tegenwoordig. [...] Ik ben van plan om het te gebruiken voor alle **ML-services van mijn team bij Microsoft**. Sommige van deze worden geïntegreerd in het kernproduct van **Windows** en sommige **Office**-producten._"

Grafana Tempo. - author: Mikhail Rozhkov, Elena Samuylova author_link: https://www.linkedin.com/in/mnrozhkov/ link: https://www.evidentlyai.com/blog/fastapi-tutorial title: ML serving and monitoring with FastAPI and Evidently - author: Visual Studio Code Team author_link: https://code.visualstudio.com/ link: https://code.visualstudio.com/docs/python/tutorial-fastapi title: FastAPI Tutorial in Visual Studio Code - author: Apitally author_link: https://apitally.io link: https://blog.apitally.io/fastapi-a...

<small>* estimation based on tests on an internal development team, building production applications.</small>

## Sponsors { #sponsors }

<!-- sponsors -->