<p>
The empty statement does nothing.
</p>

<pre class="ebnf">
EmptyStmt = .
</pre>


<h3 id="Labeled_statements">Labeled statements</h3>

<p>
A labeled statement may be the target of a <code>goto</code>,
<code>break</code> or <code>continue</code> statement.
</p>

<pre class="ebnf">
LabeledStmt = Label ":" Statement .

ldap.attr.telephoneNumber=telephoneNumber
# LDAP attribute for home phone.
ldap.attr.homePhone=homePhone
# LDAP attribute for home postal address.
ldap.attr.homePostalAddress=homePostalAddress
# LDAP attribute for labeled URI.
ldap.attr.labeledURI=labeledURI
# LDAP attribute for room number.
ldap.attr.roomNumber=roomNumber
# LDAP attribute for description.
ldap.attr.description=description
# LDAP attribute for title.

        to a labeled dataset, in one function call. Note that it doesn't perform
        image data augmentation (which is meant to be done using preprocessing
        layers).
    *   **[`text_dataset_from_directory`](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text_dataset_from_directory)**
        takes you from a structured directory of text files to a labeled
        dataset, in one function call.

     */
    String getLdapAttrHomePostalAddress();

    /**
     * Get the value for the key 'ldap.attr.labeledURI'. <br>
     * The value is, e.g. labeledURI <br>
     * comment: LDAP attribute for labeled URI.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getLdapAttrLabeledURI();

    /**