// `max_func`. In usual usage, max_func should be set to the result of
// TF_GraphNumFunctions(g). In this case, all the functions registered in
// `g` will be returned. Else, an unspecified subset.
//
// If successful, returns the number of TF_Function* successfully set in
// `funcs` and sets status to OK. The caller takes ownership of

    /**
     * Gets the session to use for repository access.
     *
     * @return The repository session or {@code null} if not set.
     */
    RepositorySystemSession getRepositorySession();

    /**
     * Sets the session to use for repository access.
     *
     * @param repositorySession The repository session to use.
     * @return This request, never {@code null}.
     */

    }

    @Test
    @DisplayName("Test setFileInfoClass sets correct info type")
    void testSetFileInfoClassSetsCorrectInfoType() {
        request = new Smb2QueryInfoRequest(mockConfig);

        // Initially set a different info type
        request.setInfoType((byte) 0x05);

        // Call setFileInfoClass which should override info type

    }

    /**
     * Gets the name of the LTR model.
     *
     * @return The model name.
     */
    public String modelName() {
        return modelName;
    }

    /**
     * Sets the name of the LTR model.
     *
     * @param modelName The model name.
     * @return This query builder.
     */
    public StoredLtrQueryBuilder modelName(final String modelName) {

   * {@link Set}, instead of the {@link Collection} specified in the {@link Multimap} interface.
   */
  @Override
  public Set<Entry<K, V>> entries() {
    return (Set<Entry<K, V>>) super.entries();
  }

  /**
   * {@inheritDoc}
   *
   * <p>Because a {@code SetMultimap} has unique values for a given key, this method returns a

        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;

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> {

     * @return A <code>boolean</code> indicating whether the flag is set.
     */
    public boolean getFlag(final int flag) {
        return (getFlags() & flag) != 0;
    }

    /**
     * Sets or clears the specified flag.
     *
     * @param flag The flag to set/clear (i.e.,
     * <code>NTLMSSP_NEGOTIATE_OEM</code>).
     * @param value Indicates whether to set (<code>true</code>) or

   
   
   *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.