</dd>
	<dt>ソート</dt>
	<dd>
		sort 演算子は指定したフィールド名でドキュメントをソートします。
		sort 演算子の利用方法は sort:&lt;field&gt;.&lt;order&gt; になります。
		&lt;order&gt; は asc または desc で昇順・降順を指定できます。
		たとえば、Fess を含むドキュメントでサイズの降順にソートしたい場合、次のように入力します。
		<pre>Fess sort:content_length.desc</pre>
		標準で利用可能なフィールドは created, content_length および last_modified になります。
		設定で指定するフィールドは変更することができます。
	</dd>
	<dt>AND検索</dt>
	<dd>
		AND 演算子は省略可能な連結演算子です。

            }
            final SortOrder sortOrder;
            if (values.length == 2) {
                if (SortOrder.DESC.toString().equalsIgnoreCase(values[1])) {
                    sortOrder = SortOrder.DESC;
                } else if (SortOrder.ASC.toString().equalsIgnoreCase(values[1])) {
                    sortOrder = SortOrder.ASC;
                } else {

    response = client.get("/model/modelA")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "name": "modelA",
        "description": "model-a-desc",
        "model_b": {"username": "test-user"},
    }


@needs_pydanticv1
def test_validator_is_cloned(client: TestClient):
    with pytest.raises(ResponseValidationError) as err:

    TF_OperationDescription* desc =
        TF_NewOperation(host_graph_, func_name_, func_node_name_);
    for (auto input : inputs) {
      TF_AddInput(desc, input);
    }
    // Set device to CPU because some ops inside the function might not be
    // available on GPU.
    TF_SetDevice(desc, "/cpu:0");
    *op = TF_FinishOperation(desc, s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

            stream(defaultSortBuilders).of(stream -> stream.forEach(builder -> list.add(builder)));
        }
        list.add(createFieldSortBuilder(fieldName, SortOrder.DESC.toString().equalsIgnoreCase(order) ? SortOrder.DESC : SortOrder.ASC));
        defaultSortBuilders = list.toArray(new SortBuilder[list.size()]);
    }

    protected SortBuilder<?> createFieldSortBuilder(final String field, final SortOrder order) {

:\"count\"}],\"buckets\":[]}},\"aggs\":[{\"id\":\"1\",\"enabled\":true,\"type\":\"count\",\"schema\":\"metric\",\"params\":{}},{\"id\":\"2\",\"enabled\":true,\"type\":\"terms\",\"schema\":\"bucket\",\"params\":{\"field\":\"searchWord\",\"order\":\"desc\",\"size\":5,\"orderBy\":\"1\",\"otherBucket\":false,\"otherBucketLabel\":\"Other\",\"missingBucket\":false,\"missingBucketLabel\":\"Missing\"}}]}"},"id":"1523d560-b2b7-11e9-b23e-033a71496733","migrationVersion":{"visualization":"7.2.0"},"referenc...

 * if some elements are too small, they will be aggregated by smallElementAggregateFunction.
 *
 * @param list the list to split, must be ordered by size desc
 * @param toIntFunction the function used to map the element to its "size"
 * @param largeElementSplitFunction the function used to further split the large element into smaller pieces

	AssertEqual(t, names2, []string{"distinct", "distinct", "distinct", "distinct-2", "distinct-3"})

	var results []User
	if err := DB.Distinct("name", "age").Where("name like ?", "distinct%").Order("name, age desc").Find(&results).Error; err != nil {
		t.Errorf("failed to query users, got error: %v", err)
	}

	expects := []User{
		{Name: "distinct", Age: 20},
		{Name: "distinct", Age: 18},
		{Name: "distinct-2", Age: 18},

        if (StringUtil.isNotBlank(sort)) {
            final String[] values = sort.split("\\.");
            final boolean asc;
            if (values.length > 1) {
                asc = !"desc".equalsIgnoreCase(values[1]);
            } else {
                asc = true;
            }
            if (values.length > 0) {
                if ("term".equals(values[0]) || "key".equals(values[0])) {

		flags            uint16
		crc32            uint32
		uncompressedSize uint64
		compressedSize   uint64
	}{
		{
			name:    "small store w desc",
			content: []byte("gophers"),
			method:  Store,
			flags:   0x8,
		},
		{
			name:    "small deflate wo desc",
			content: bytes.Repeat([]byte("abcdefg"), 2048),
			method:  Deflate,
		},
	}

	// write a zip file
	archive := new(bytes.Buffer)