}

        return updateScope;
    }

    private void fireEvent(int event, List<ResolutionListener> listeners, ResolutionNode node) {
        fireEvent(event, listeners, node, null);
    }

    private void fireEvent(int event, List<ResolutionListener> listeners, ResolutionNode node, Artifact replacement) {
        fireEvent(event, listeners, node, replacement, null);
    }

    private void fireEvent(

	if errCode != ErrNone {
		return cred, "", "", time.Time{}, errCode
	}

	// Verify if region is valid.
	region = signV4Values.Credential.scope.region

	// Extract date, if not present throw error.
	var dateStr string
	if dateStr = req.Header.Get("x-amz-date"); dateStr == "" {
		if dateStr = r.Header.Get("Date"); dateStr == "" {
			return cred, "", "", time.Time{}, ErrMissingDateHeader
		}
	}

Example:

Source (English):

```mermaid
flowchart LR
    subgraph global[global env]
        harry-1[harry v1]
    end

        addr = getCachedAddress(name);

        /*
         * This is almost exactly like InetAddress.java. See the
         * comments there for a description of how the LOOKUP_TABLE prevents
         * redundant queries from going out on the wire.
         */
        if ((addr == null) && ((addr = (NbtAddress) checkLookupTable(name)) == null)) {
            try {
                addr = getByName(name, svr);

// ResyncDecision is a struct representing a map with target's individual resync decisions
type ResyncDecision struct {
	targets map[string]ResyncTargetDecision
}

// Empty returns true if no targets with resync decision present
func (r ResyncDecision) Empty() bool {
	return r.targets == nil
}

func (r ResyncDecision) mustResync() bool {
	for _, v := range r.targets {
		if v.Replicate {
			return true
		}
	}

  int device_id = TFE_TensorHandleDeviceID(hcpu, status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  ASSERT_EQ(0, device_id) << device_id;

  // Disable the test if no GPU is present.
  string gpu_device_name;
  if (GetDeviceName(ctx, &gpu_device_name, "GPU")) {
    TFE_TensorHandle* hgpu = TFE_TensorHandleCopyToDevice(
        hcpu, ctx, gpu_device_name.c_str(), status.get());

            return this.isExists;
        }

        // Fast path for already resolved existence with recent cache
        if (this.isExists && (currentTime - (this.attrExpiration - getContext().getConfig().getAttributeCacheTimeout())) < 5000) {
            log.trace("Using recent positive existence cache");
            return true;
        }

        this.attributes = ATTR_READONLY | ATTR_DIRECTORY;

  private static String scopeWithDelimiter(Inet6Address ip) {
    // getHostAddress on android sometimes maps the scope ID to an invalid interface name; if the
    // mapped interface isn't present, fallback to use the scope ID (which has no validation against
    // present interfaces)
    NetworkInterface scopedInterface = ip.getScopedInterface();
    if (scopedInterface != null) {
      return "%" + scopedInterface.getName();
    }

`async` と `await` を使うこのスタイルは、言語としては比較的新しいものです。

しかし、これにより非同期コードの取り扱いは大幅に簡単になります。

同等 (ほぼ同一) の構文が最近の JavaScript (ブラウザと NodeJS) にも導入されました。

それ以前は、非同期コードの扱いはかなり複雑で難解でした。

以前の Python ではスレッドや [Gevent](https://www.gevent.org/) を使えましたが、コードの理解・デバッグ・思考がはるかに難しくなります。

以前の NodeJS / ブラウザ JavaScript では「コールバック」を使っており、「コールバック地獄」を招きました。

## コルーチン { #coroutines }

		dnClaim := claims.MapClaims[ldapActualUser].(string)
		if dnClaim != testCase.dn {
			c.Fatalf("Test %d: unexpected dn claim: %s", i+1, dnClaim)
		}
		sshPublicKeyClaim := claims.MapClaims[ldapAttribPrefix+"sshPublicKey"].([]any)[0].(string)
		if sshPublicKeyClaim == "" {
			c.Fatalf("Test %d: expected sshPublicKey claim to be present", i+1)
		}