} catch (e: Exception) {
        AndroidLog.androidLog(
          loggerName = OkHttpClient::class.java.name,
          logLevel = Platform.WARN,
          message = "unable to load android socket classes",
          t = e,
        )
        null
      }
  }

    </default>
  </defaults>

  <classes>
    <class rootElement="true" xml.tagName="extensions" xsd.compositor="sequence">
      <name>CoreExtensions</name>
      <description>Extensions to load.</description>
      <version>1.0.0+</version>
      <fields>
        <field>
          <name>extensions</name>
          <description>A set of build extensions to use from this project.</description>

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

    MINIO_CI_CD: 1
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - data1-1:/data1
      - data1-2:/data2
      - data1-3:/data3

#

# Comma-separated list of files to include.
# Each item may be enclosed in quotes to gracefully include spaces. Items are trimmed before being loaded.
# If the first character of an item is a question mark, the load will silently fail if the file does not exist.
${includes} = ?"${maven.user.conf}/maven-user.properties", \
              ?"${maven.project.conf}/maven-user.properties"

#
# Maven Cache Configuration
#

marked `PENDING` or `FAILED` are re-queued for replication.

Replication speed depends on the cluster load, number of objects in the object store as well as storage speed. In addition, any bandwidth limits set via `mc admin bucket remote add` could also contribute to replication speed. The number of workers used for replication defaults to 100. Based on network bandwidth and system load, the number of workers used in replication can be configured using `mc admin config set alias api` to set the...

	req.Header.Set(xhttp.MinIOPeerCall, "true")

	resp, err := httpClient.Do(req)
	if err != nil {
		return err
	}
	xhttp.DrainBody(resp.Body)

	return nil
}

// connect to list of endpoints and load all Erasure disk formats, validate the formats are correct
// and are in quorum, if no formats are found attempt to initialize all of them for the first
// time. additionally make sure to close all the disks used in this attempt.

		} else {
			m.Aggregated.CPU.CPUCount = cpuCount
		}

		loadStat, err := load.Avg()
		if err != nil {
			m.Errors = append(m.Errors, fmt.Sprintf("%s: %v (loadStat)", byHostName, err.Error()))
		} else {
			m.Aggregated.CPU.LoadStat = loadStat
		}
	}
	if types.Contains(madmin.MetricsRPC) {
		gr := globalGrid.Load()
		if gr == nil {

        testData.add(createRelatedContent("test", "Test Content", ""));
        mockBhv.setTestData(testData);

        relatedContentHelper.init();

        // Verify that load was called and data is processed
        String[] results = relatedContentHelper.getRelatedContents("test");
        assertEquals(1, results.length);
        assertEquals("Test Content", results[0]);
    }

    @Test

func (sys *IAMSys) Initialized() bool {
	if sys == nil {
		return false
	}
	sys.Lock()
	defer sys.Unlock()
	return sys.store != nil
}

// Load - loads all credentials, policies and policy mappings.
func (sys *IAMSys) Load(ctx context.Context, firstTime bool) error {
	loadStartTime := time.Now()
	err := sys.store.LoadIAMCache(ctx, firstTime)
	if err != nil {