session.setLocalRepositoryManager(new SimpleLocalRepositoryManagerFactory().newInstance(session, localRepo));
        LegacySupport legacySupport = container.lookup(LegacySupport.class);
        DefaultMavenExecutionRequest mavenExecutionRequest = new DefaultMavenExecutionRequest();
        MavenSession mavenSession =

			}
		}
	}
}

func lookupStyle(s string) minio.BucketLookupType {
	var lookup minio.BucketLookupType
	switch s {
	case "on":
		lookup = minio.BucketLookupPath
	case "off":
		lookup = minio.BucketLookupDNS
	default:
		lookup = minio.BucketLookupAuto
	}
	return lookup
}

// BatchJobPrefix - to support prefix field yaml unmarshalling with string or slice of strings

        if (socketHost.canParseAsIpAddress()) {
          listOf(InetAddress.getByName(socketHost))
        } else {
          connectionUser.dnsStart(socketHost)

          val result = address.dns.lookup(socketHost)
          if (result.isEmpty()) {
            throw UnknownHostException("${address.dns} returned no addresses for $socketHost")
          }

          connectionUser.dnsEnd(socketHost, result)

# words checklist
segfault_memory:
   - segfault
   - memory leaks
# assignees
filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:
      * For TF-GPU - See point 1
      * For TF-CPU - See point 2
   -----------------------------------------------------------------------------------------------

}

int TF_OpIsStateful(const char* op_type, TF_Status* status) {
  const tensorflow::OpRegistrationData* op_reg_data;
  status->status =
      tensorflow::OpRegistry::Global()->LookUp(op_type, &op_reg_data);
  if (!status->status.ok()) {
    return 0;
  }
  return op_reg_data->op_def.is_stateful();
}

void TF_InitMain(const char* usage, int* argc, char*** argv) {

        }
        if (!advance()) {
          return endOfData();
        }
      }
    }
  }

  /**
   * If the graph is undirected, each unordered [node, otherNode] pair (except self-loops) will be
   * visited twice if there is an edge connecting them. To avoid returning duplicate {@link
   * EndpointPair}s, we keep track of the nodes that we have visited. When processing endpoint

1. The id_token is an identifier that is hard to guess. For example, a randomly generated string of sufficient length, that the server handling the protected resource can use to lookup the associated authorization information.
2. The id_token self-contains the authorization information in a manner that can be verified. For example, by encoding authorization information along with a signature into the token.

    public void testReadRepoFromModel() throws Exception {
        Artifact artifact = createArtifact(TestMavenWorkspaceReader.ARTIFACT_ID, TestMavenWorkspaceReader.VERSION);
        ArtifactMetadataSource source = getContainer().lookup(ArtifactMetadataSource.class, "maven");
        ResolutionGroup group = source.retrieve(artifact, localRepository(), new ArrayList<>());
        List<ArtifactRepository> repositories = group.getResolutionRepositories();

  @get:JvmName("resolvePrivateAddresses") val resolvePrivateAddresses: Boolean,
  @get:JvmName("resolvePublicAddresses") val resolvePublicAddresses: Boolean,
) : Dns {
  @Throws(UnknownHostException::class)
  override fun lookup(hostname: String): List<InetAddress> {
    if (!resolvePrivateAddresses || !resolvePublicAddresses) {
      val privateHost = isPrivateHost(hostname)

      if (privateHost && !resolvePrivateAddresses) {

        ClassLoader oldClassLoader = Thread.currentThread().getContextClassLoader();
        try {
            Thread.currentThread().setContextClassLoader(pluginDescriptor.getClassRealm());

            return container.lookup(role, roleHint);
        } finally {
            Thread.currentThread().setContextClassLoader(oldClassLoader);
        }
    }

    @Override