*   oneDNN optimizations are *enabled by default* on X86 CPUs
    *   To explicitly enable or disable oneDNN optimizations, set the environment variable `TF_ENABLE_ONEDNN_OPTS` to `1` (enable) or `0` (disable) before running TensorFlow. To fall back to default settings, unset the environment variable.

	if r.Method == http.MethodOptions {
		return
	}
	desc := "Do not upgrade one server at a time - please follow the recommended guidelines mentioned here https://github.com/minio/minio#upgrading-minio for your environment"
	switch {
	case strings.HasPrefix(r.URL.Path, peerRESTPrefix):
		writeErrorResponseString(r.Context(), w, APIError{
			Code:           "XMinioPeerVersionMismatch",
			Description:    desc,

		if err != nil {
			configLogIf(ctx, fmt.Errorf("Unable to parse subnet configuration: %w", err))
		} else {
			globalSubnetConfig.Update(subnetConfig, globalIsCICD)
			globalSubnetConfig.ApplyEnv() // update environment settings for Console UI
		}
	case config.CallhomeSubSys:
		callhomeCfg, err := callhome.LookupConfig(s[config.CallhomeSubSys][config.Default])
		if err != nil {

        Properties systemProperties = new Properties();

        // ----------------------------------------------------------------------
        // Load environment and system properties
        // ----------------------------------------------------------------------

        EnvironmentUtils.addEnvVars(systemProperties);
        SystemProperties.addSystemProperties(systemProperties);

								<prefix>${packaging.fess.home.dir}/es/plugins</prefix>
								<user>${packaging.fess.user}</user>
								<group>${packaging.fess.group}</group>
							</mapper>
						</data>
						<!-- Add environment vars file -->
						<data>
							<type>file</type>
							<src>${project.build.directory}/generated-packaging/deb/env/fess</src>
							<dst>/etc/default/fess</dst>
							<mapper>
								<type>perm</type>

        <field xdoc.separator="blank">
          <name>prerequisites</name>
          <version>4.0.0+</version>
          <description>Describes the prerequisites in the build environment for this project.</description>
          <association>
            <type>Prerequisites</type>
          </association>
        </field>

  * “kubectl run” now produces Deployments (instead of ReplicationControllers) and
Jobs (instead of Pods) by default.
  * Pods can now consume Secret data in environment variables and inject those
environment variables into a container’s command-line args.
  * Stable version of Heapster which scales up to 1000 nodes: more metrics, reduced
latency, reduced cpu/memory consumption (~4mb per monitored node).

        </field>
      </fields>
    </class>
    <class java.clone="deep">
      <name>Activation</name>
      <version>1.0.0+</version>
      <description>
        The conditions within the build runtime environment which will trigger
        the automatic inclusion of the parent build profile.
      </description>
      <fields>
        <field>
          <name>activeByDefault</name>
          <version>1.0.0+</version>

common:monolithic --experimental_link_static_libraries_once=false  # b/229868128

# Please note that MKL on MacOS is still not supported.
# If you would like to use a local MKL instead of downloading, please set the
# environment variable "TF_MKL_ROOT" every time before build.
common:mkl --define=build_with_mkl=true --define=enable_mkl=true
common:mkl --define=tensorflow_mkldnn_contraction_kernel=0
common:mkl --define=build_with_openmp=true

* Remove environment variables and internal Kubernetes Docker labels from cAdvisor Prometheus metric labels. ([#31064](https://github.com/kubernetes/kubernetes/pull/31064), [@grobie](https://github.com/grobie))
    * Old behavior: