return IDN.toASCII(decode(host), flag);
    }

    /**
     * Sets the flag for IDN conversion.
     *
     * @param flag the flag to set
     */
    public void setFlag(final int flag) {
        this.flag = flag;
    }

    /**
     * Sets the encoding for URL decoding.
     *
     * @param encoding the encoding to set
     */
    public void setEncoding(final String encoding) {

     *
     * @return the highlighting type
     */
    public String getType() {
        return type;
    }

    /**
     * Sets the highlighting type with fluent interface.
     *
     * @param type the highlighting type to set
     * @return this HighlightInfo instance for method chaining
     */
    public HighlightInfo type(final String type) {
        this.type = type;
        return this;

        }

        /**
         * Sets the text content of the XML node.
         *
         * @param value the text content of the XML node
         * @return this builder instance
         */
        public Builder value(String value) {
            this.value = value;
            return this;
        }

        /**
         * Sets the namespace URI of the XML node.
         *

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.testing.SampleElements.Ints;
import java.util.List;
import java.util.Set;
import org.jspecify.annotations.NullMarked;

/**
 * Create integer sets for collection tests.
 *
 * @author Gregory Kick
 */
@GwtCompatible
@NullMarked
public abstract class TestIntegerSetGenerator implements TestSetGenerator<Integer> {

    /**
     * Gets the global toolchains source.
     *
     * @return The global toolchains source or {@code null} if none.
     */
    Source getGlobalToolchainsSource();

    /**
     * Sets the global toolchains source. If both user toolchains and a global toolchains are given, the user toolchains
     * take precedence.
     *

   
   
   *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.

     * This method sets the job executor and then calls the abstract execute method.
     *
     * @param jobExecutor the job executor to use for execution
     * @return the execution result message or summary
     */
    public String execute(final JobExecutor jobExecutor) {
        jobExecutor(jobExecutor);
        return execute();
    }

    /**
     * Sets the job executor for this job.
     *

    }

    @Test
    @DisplayName("parse sets mechanismToken and flags parsed")
    void parseSetsMechanismToken() throws IOException {
        TestSpnegoToken t = new TestSpnegoToken();
        byte[] raw = new byte[] { 5, 6 };
        t.parse(raw);
        assertTrue(t.isParsed(), "parse should mark parsed");
        assertArrayEquals(raw, t.getMechanismToken(), "parse should set mechanismToken");
    }

    @Test

		return &ErrUnknownRegion{q.ARN.region}
	}

	if !targetList.Exists(q.ARN.TargetID) {
		return &ErrARNNotFound{q.ARN}
	}

	return nil
}

// SetRegion - sets region value to queue's ARN.
func (q *Queue) SetRegion(region string) {
	q.ARN.region = region
}

// ToRulesMap - converts Queue to RulesMap
func (q Queue) ToRulesMap() RulesMap {

    }

    // Ensures set(null) resets the buffer to empty and does not NPE
    @Test
    @DisplayName("set(null) resets to empty")
    void set_null_resetsToEmpty() {
        // Arrange
        SecurityBlob blob = new SecurityBlob(new byte[] { 1, 2, 3 });

        // Act
        blob.set(null);

        // Assert