],
)
def get_client(request: pytest.FixtureRequest):
    clear_sqlmodel()
    # TODO: remove when updating SQL tutorial to use new lifespan API
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        mod = importlib.import_module(f"docs_src.sql_databases.{request.param}")
        clear_sqlmodel()
        importlib.reload(mod)

	if !ok {
		return nil, nil, fmt.Errorf("response writer does not support hijacking. Type is %T", lrw.ResponseWriter)
	}
	return hj.Hijack()
}

// TTFB of the request - this function needs to be called
// when the request is finished to provide accurate data
func (lrw *ResponseRecorder) TTFB() time.Duration {
	if lrw.ttfbBody != 0 {
		return lrw.ttfbBody
	}
	return lrw.ttfbHeader
}

			</h2>
			<div class="errormessage"><la:message key="labels.bad_request" /></div>
		</div>
	</main>
	<jsp:include page="../footer.jsp" />
	<input type="hidden" id="contextPath" value="${pageContext.request.contextPath}" />
	<script type="text/javascript"
		src="${fe:url('/js/jquery-3.7.1.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/bootstrap.min.js')}"></script>

fun RequestBody.commonContentLength(): Long = -1L

@Suppress("unused")
fun RequestBody.commonIsDuplex(): Boolean = false

@Suppress("unused")
fun RequestBody.commonIsOneShot(): Boolean = false

/** Returns a new request body that transmits this. */
fun ByteString.commonToRequestBody(contentType: MediaType?): RequestBody {
  return object : RequestBody() {
    override fun contentType() = contentType

class UppercaseResponseInterceptor : Interceptor {
  @Throws(IOException::class)
  override fun intercept(chain: Chain): Response {
    return uppercaseResponse(chain.proceed(chain.request()))
  }

  private fun uppercaseResponse(response: Response): Response {
    val uppercaseBody: ResponseBody =
      object : ForwardingResponseBody(response.body) {
        override fun source(): BufferedSource {

     * @return the transformed model, or the input model if no transformation is needed
     */
    @Nonnull
    Model transform(
            @Nonnull Model model, @Nonnull ModelBuilderRequest request, @Nonnull ModelProblemCollector problems);

async def create_item(product: Product):
    return product


client = TestClient(app)


def test_get_with_body():
    body = {"name": "Foo", "description": "Some description", "price": 5.5}
    response = client.request("GET", "/product", json=body)
    assert response.json() == body


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

import org.apache.maven.artifact.repository.DefaultRepositoryRequest;
import org.apache.maven.artifact.repository.RepositoryRequest;
import org.apache.maven.artifact.resolver.ArtifactResolutionRequest;

/**
 * Forms a request to retrieve artifact metadata.
 *
 */
@Deprecated
public class DefaultMetadataResolutionRequest implements MetadataResolutionRequest {

    private Artifact artifact;

    private boolean resolveManagedVersions;

events {
    worker_connections  4096;
}

http {
    include       /etc/nginx/mime.types;
    default_type  application/octet-stream;

    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
                      '$status $body_bytes_sent "$http_referer" '
                      '"$http_user_agent" "$http_x_forwarded_for"';

    access_log  /var/log/nginx/access.log  main;
    sendfile        on;

#       ...
#       ./any.sh
#     or
#       export TF_ANY_EXTRA_ENV=ci/official/envs/local_rbe
#       ./any.sh
#       ...
set -euxo pipefail
cd "$(dirname "$0")/../../"  # tensorflow/
# Any request that includes "nightly_upload" should just use the
# local multi-cache (public read-only cache + disk cache) instead.
export TFCI="$(echo $TFCI | sed 's/,nightly_upload/,public_cache,disk_cache/')"