if (localValue != null & notInstanceOfDelegatingToFuture(localValue)) {
      return getDoneValue(localValue);
    }
    // we delay calling nanoTime until we know we will need to either park or spin
    long endNanos = remainingNanos > 0 ? System.nanoTime() + remainingNanos : 0;
    long_wait_loop:
    if (remainingNanos >= SPIN_THRESHOLD_NANOS) {
      Waiter oldHead = waitersField;

    if (localValue != null & notInstanceOfDelegatingToFuture(localValue)) {
      return getDoneValue(localValue);
    }
    // we delay calling nanoTime until we know we will need to either park or spin
    long endNanos = remainingNanos > 0 ? System.nanoTime() + remainingNanos : 0;
    long_wait_loop:
    if (remainingNanos >= SPIN_THRESHOLD_NANOS) {
      Waiter oldHead = waitersField;

     * been intended for something else, so don't clear it.
     */
    boolean restoreInterruptedBit = false;
    int spinCount = 0;
    // Interrupting Cow Says:
    //  ______
    // < Spin >
    //  ------
    //        \   ^__^
    //         \  (oo)\_______
    //            (__)\       )\/\
    //                ||----w |
    //                ||     ||
    Runnable state = get();

## Pin your `fastapi` version { #pin-your-fastapi-version }

The first thing you should do is to "pin" the version of **FastAPI** you are using to the specific latest version that you know works correctly for your application.

auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a
# For new protobuf, if V.x.y is gencode version, then runtime version U must be
# V <= U <= V+1

auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a
# For new protobuf, if V.x.y is gencode version, then runtime version U must be
# V <= U <= V+1

You can learn more about [FastAPI versions and how to pin and upgrade them](https://fastapi.tiangolo.com/deployment/versions/) for your project in the docs.

## Reporting a Vulnerability

          val cert = peerCertificates[0] as X509Certificate
          throw SSLPeerUnverifiedException(
            """
            |Hostname ${address.url.host} not verified:
            |    certificate: ${CertificatePinner.pin(cert)}
            |    DN: ${cert.subjectDN.name}
            |    subjectAltNames: ${OkHostnameVerifier.allSubjectAltNames(cert)}
            """.trimMargin(),
          )
        } else {

}

public final class okhttp3/CertificatePinner$Companion {
	public final fun pin (Ljava/security/cert/Certificate;)Ljava/lang/String;
	public final fun sha1Hash (Ljava/security/cert/X509Certificate;)Lokio/ByteString;
	public final fun sha256Hash (Ljava/security/cert/X509Certificate;)Lokio/ByteString;
}

public final class okhttp3/CertificatePinner$Pin {
	public fun <init> (Ljava/lang/String;Ljava/lang/String;)V

  fun testCertificatePinningSuccess() {
    enableTls()

    val certificatePinner =
      CertificatePinner
        .Builder()
        .add(
          server.hostName,
          CertificatePinner.pin(handshakeCertificates.trustManager.acceptedIssuers[0]),
        ).build()
    client = client.newBuilder().certificatePinner(certificatePinner).build()

    server.enqueue(MockResponse(body = "abc"))