}

#result .title {
	margin: 1.0em 0 0.5em 0;
	font-size: 120%;
	font-weight: 600;
}

section.content table {
	display: table;
	table-layout: fixed;
	width: 100%;
}

section.content table td {
	display: table-cell;
	word-wrap: break-word;
	overflow-wrap: break-word;
}

section.content table .label {
	color: #fff;
}

textarea.systemInfoData {
	height: 22em;
	line-height: 1.5em;
}

        items.add(new SuggestItem(new String[] { "test" }, readings, new String[] { "content" }, 1, 0, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.DOCUMENT));
        items.add(new SuggestItem(new String[] { "example" }, readings, new String[] { "content" }, 2, 0, -1, new String[] { "tag2" },

    response = client.post("/token", data=data)
    content = response.json()
    access_token = content.get("access_token")
    return access_token


def test_login(mod: ModuleType):
    client = TestClient(mod.app)
    response = client.post("/token", data={"username": "johndoe", "password": "secret"})
    assert response.status_code == 200, response.text
    content = response.json()
    assert "access_token" in content

 * This extractor can extract text content from files within LHA archives
 * by using appropriate extractors for each contained file type.
 *
 * @author shinsuke
 */
public class LhaExtractor extends AbstractExtractor {
    /** Logger for this class. */
    private static final Logger logger = LogManager.getLogger(LhaExtractor.class);

    /** Maximum content size for extraction. -1 means no limit. */

        String result = normalizer.normalize("test", "content");

        assertNotNull(result);
    }

    @Test
    public void test_normalizeWithLanguage() throws Exception {
        AnalyzerNormalizer normalizer = new AnalyzerNormalizer(runner.client(), suggester.settings());

        String result = normalizer.normalize("test", "content", "en");

        assertNotNull(result);
    }

    @Test

                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

    Module System.
 *  New: Log gzipped bodies when `HttpLoggingInterceptor` is used as a network
    interceptor.
 *  New: `Protocol.QUIC` constant. This protocol is not supported but this
    constant is included for completeness.
 *  New: Upgrade to Okio 1.14.0.

     ```xml
     <dependency>
       <groupId>com.squareup.okio</groupId>
       <artifactId>okio</artifactId>

You can return it directly.

It accepts the following parameters:

* `content` - A `str` or `bytes`.
* `status_code` - An `int` HTTP status code.
* `headers` - A `dict` of strings.
* `media_type` - A `str` giving the media type. E.g. `"text/html"`.

FastAPI (actually Starlette) will automatically include a Content-Length header. It will also include a Content-Type header, based on the `media_type` and appending a charset for text types.

```bash
# Create NDJSON file
cat > documents.ndjson << 'EOF'
{"url":"http://example.com/page1","title":"Page 1","content":"Content here..."}
{"url":"http://example.com/page2","title":"Page 2","content":"More content..."}
EOF

# Import via API
curl -X PUT "http://localhost:8080/api/admin/documents/bulk" \
  -H "Content-Type: application/x-ndjson" \
  -u admin:admin \
  --data-binary @documents.ndjson
```