},
		{
			Name: "Manager", Type: schema.BelongsTo, Schema: "User", FieldSchema: "User",
			References: []Reference{{"ID", "User", "ManagerID", "User", "", false}},
		},
		{
			Name: "Team", Type: schema.HasMany, Schema: "User", FieldSchema: "User",
			References: []Reference{{"ID", "User", "ManagerID", "User", "", true}},
		},
		{

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

## Sponsors { #sponsors }

<!-- sponsors -->

### Keystone Sponsor { #keystone-sponsor }

{% for sponsor in sponsors.keystone -%}

    }

    def "finds Release notes broken links"() {
        given:
        sampleDoc << """
Nothing to write about
        """

        and:
        releaseNotes << """
<p>The Gradle team is excited to announce Gradle @version@.</p>
<p>This release features <a href="">1</a>, <a href="">2</a>, ... <a href="">n</a>, and more.</p>

// + 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>

///

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.

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"?>

r-half:before{content:"\f089"}.fa-star-half-alt:before{content:"\f5c0"}.fa-star-of-david:before{content:"\f69a"}.fa-star-of-life:before{content:"\f621"}.fa-staylinked:before{content:"\f3f5"}.fa-steam:before{content:"\f1b6"}.fa-steam-square:before{content:"\f1b7"}.fa-steam-symbol:before{content:"\f3f6"}.fa-step-backward:before{content:"\f048"}.fa-step-forward:before{content:"\f051"}.fa-stethoscope:before{content:"\f0f1"}.fa-sticker-mule:before{content:"\f3f7"}.fa-sticky-note:before{content:"\f249...

      },
      "turkish_stemmer": {
        "type":       "stemmer",
        "language":   "turkish"
      },
      "thai_stop": {
        "type":       "stop",
        "stopwords":  "_thai_"
      }
    }
  }

      },
      "turkish_stemmer": {
        "type":       "stemmer",
        "language":   "turkish"
      },
      "thai_stop": {
        "type":       "stop",
        "stopwords":  "_thai_"
      }
    }
  }