//custom options from user
        if (typeof options !== 'object' || options === null)
            options = {};

        //allow setting options with data attributes
        //data-api options will be overwritten with custom javascript options
        options = $.extend(this.element.data(), options);

        //html template for the picker UI
        if (typeof options.template !== 'string' && !(options.template instanceof $))

# General - How To - Recipes

Here are several pointers to other places in the docs, for general or frequent questions.

## Filter Data - Security

To ensure that you don't return more data than you should, read the docs for [Tutorial - Response Model - Return Type](../tutorial/response-model.md){.internal-link target=_blank}.

## Documentation Tags - OpenAPI

    if (!$(e.target).closest("#searchOptions, #searchOptionsButton").length) {
      $("#searchOptions").removeClass("active");
    }
  });

  $("[data-toggle='control-options']").click(function(e) {
    e.preventDefault();
    var target = $(this).attr("data-target") || $(this).attr("href");
    if (target) {
      $(target).toggleClass("active");
    }
  });

  $("#searchOptionsClearButton").on("click", function(e) {

  xml.namespace="http://maven.apache.org/EXTENSIONS/${version}"
  xml.schemaLocation="http://maven.apache.org/xsd/core-extensions-${version}.xsd">

  <id>core-extensions</id>
  <name>CoreExtensions</name>
  <description><![CDATA[
  <p>This is a reference for the Core Extensions descriptor.</p>
  <p>The default location for the Core Extensions descriptor file is <code>${maven.projectBasedir}/.mvn/extensions.xml</code></p>
  ]]></description>

using tensorflow::NodeDef;

static void BoolDeallocator(void* data, size_t, void* arg) {
  delete[] static_cast<bool*>(data);
}

static void Int32Deallocator(void* data, size_t, void* arg) {
  delete[] static_cast<int32_t*>(data);
}

static void DoubleDeallocator(void* data, size_t, void* arg) {
  delete[] static_cast<double*>(data);
}

static void FloatDeallocator(void* data, size_t, void* arg) {
  delete[] static_cast<float*>(data);

			cleanUpDeletedRelations := func(data reflect.Value) {
				if _, zero := rel.Field.ValueOf(association.DB.Statement.Context, data); !zero {
					fieldValue := reflect.Indirect(rel.Field.ReflectValueOf(association.DB.Statement.Context, data))
					primaryValues := make([]interface{}, len(rel.FieldSchema.PrimaryFields))

					switch fieldValue.Kind() {

* **No brainfuck**:
    * No new schema definition micro-language to learn.
    * If you know Python types you know how to use Pydantic.
* Plays nicely with your **<abbr title="Integrated Development Environment, similar to a code editor">IDE</abbr>/<abbr title="A program that checks for code errors">linter</abbr>/brain**:

Traditional retrieval of objects is always as whole entities, i.e GetObject for a 5 GiB object, will always return 5 GiB of data. S3 Select API allows us to retrieve a subset of data by using simple SQL expressions. By using Select API to retrieve only the data needed by the application, drastic performance improvements can be achieved.

You can use the Select API to query objects with following features:

  protected final T data;
  protected final T expected;

  private final String suiteName;
  private final String caseDesc;

  SourceSinkTester(F factory, T data, String suiteName, String caseDesc, Method method) {
    super(method.getName());
    this.factory = checkNotNull(factory);
    this.data = checkNotNull(data);
    this.expected = checkNotNull(factory.getExpected(data));

					<a class="link" href="${doc.url_link}" data-uri="${doc.url_link}"
						data-id="${doc.doc_id}" data-order="${s.index}">${doc.content_title}</a>
				</h3>
				<div class="body">
					<c:if test="${thumbnailSupport && !empty doc.thumbnail}">
					<div class="mr-3">
						<a class="link d-none d-sm-flex" href="${doc.url_link}" data-uri="${doc.url_link}" data-id="${doc.doc_id}"
							data-order="${s.index}"