// doesn't wait to read the client's DATA frame and may send a DATA frame before the client
    // does. So we can't assume the client's empty DATA will be logged first.
    assertThat(countFrames(logs, "FINE: >> 0x00000003     0 DATA          END_STREAM"))
      .isEqualTo(1)
    assertThat(countFrames(logs, "FINE: >> 0x00000003     3 DATA          END_STREAM"))
      .isEqualTo(1)
  }

  @Test

	quarkus/extensions/apache-httpclient/deployment/pom.xml
	quarkus/extensions/amazon-lambda-xray/runtime/pom.xml
quarkus/extensions/spring-data-rest/deployment/pom.xml
	quarkus/extensions/spring-data-rest/runtime/pom.xml
	quarkus/extensions/panache/rest-data-panache/deployment/pom.xml
	quarkus/extensions/spring-data-jpa/deployment/pom.xml
	quarkus/test-framework/junit5-internal/pom.xml
	quarkus/extensions/jdbc/jdbc-h2/deployment/pom.xml

          "interval": "",
          "legendFormat": "Usage",
          "range": true,
          "refId": "A"
        }
      ],
      "title": "Data Usage Growth",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

        if (isGCMCipher()) {
            // SMB 3.1.1 GCM: 96-bit random/fixed + 32-bit counter for guaranteed uniqueness
            // Fill first 12 bytes with random data
            secureRandom.nextBytes(nonce);

            // Last 4 bytes: incrementing counter for guaranteed uniqueness
            final long counter = this.nonceCounter.incrementAndGet();

Плюс к этому простой факт, что Python — основной язык для **Data Science**, Машинного обучения и особенно Глубокого обучения, делает FastAPI очень хорошим выбором для веб-API и приложений в области Data Science / Машинного обучения (среди многих других).

package jcifs.dcerpc;

import jcifs.dcerpc.ndr.NdrBuffer;
import jcifs.dcerpc.ndr.NdrException;
import jcifs.dcerpc.ndr.NdrObject;

/**
 * RPC data structure definitions for DCE/RPC protocol support.
 * This class contains NDR (Network Data Representation) encodable/decodable structures
 * used in DCE/RPC communications including UUID, policy handles, unicode strings, and SIDs.
 */
@SuppressWarnings("all")
public class rpc {

    /**

                request.getLocalRepository(),
                request.getRemoteRepositories());

        if (cached != null
                // if the POM has no file, we cached a missing artifact, only return the cached data if no update forced
                && (!request.isForceUpdate() || hasFile(cached.getPomArtifact()))) {
            return cached;
        }

        List<Dependency> dependencies;

	for _, rule := range lc.Rules {
		if !rule.Expiration.IsNull() || !rule.NoncurrentVersionExpiration.IsNull() {
			return true
		}
	}
	return false
}

// UnmarshalXML - decodes XML data.
func (lc *Lifecycle) UnmarshalXML(d *xml.Decoder, start xml.StartElement) (err error) {
	switch start.Name.Local {
	case "LifecycleConfiguration", "BucketLifecycleConfiguration":
	default:

      call: RealCall,
      e: IOException?,
    )

    fun noNewExchanges()

    fun cancel()
  }

  companion object {
    /**
     * The timeout to use while discarding a stream of input data. Since this is used for connection
     * reuse, this timeout should be significantly less than the time it takes to establish a new
     * connection.
     */
    const val DISCARD_STREAM_TIMEOUT_MILLIS = 100
  }

COPY --from=build /go/bin/curl* /usr/bin/

COPY CREDITS /licenses/CREDITS
COPY LICENSE /licenses/LICENSE
COPY dockerscripts/docker-entrypoint.sh /usr/bin/docker-entrypoint.sh

EXPOSE 9000
VOLUME ["/data"]

ENTRYPOINT ["/usr/bin/docker-entrypoint.sh"]