}

    private int fid;
    private int mode;
    private long offset;

    /**
     * Sets the file identifier.
     *
     * @param fid
     *            the fid to set
     */
    public void setFid(final int fid) {
        this.fid = fid;
    }

    /**
     * Sets the seek mode.
     *
     * @param mode
     *            the mode to set
     */

    }

    /**
     * Gets the lease key for this directory lease context
     * @return the lease key
     */
    public Smb2LeaseKey getLeaseKey() {
        return leaseKey;
    }

    /**
     * Sets the lease key for this directory lease context
     * @param leaseKey the lease key to set
     */
    public void setLeaseKey(Smb2LeaseKey leaseKey) {
        this.leaseKey = leaseKey;
    }

    /**

   
   
   *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.

    }

    /**
     * Sets the file information class for the directory query
     *
     * @param fileInformationClass
     *            the fileInformationClass to set
     */
    public void setFileInformationClass(final byte fileInformationClass) {
        this.fileInformationClass = fileInformationClass;
    }

    /**
     * Sets the query flags for the directory enumeration
     *

        this.dataLength = length;
    }

    /**
     * Sets the number of bytes remaining to be written in a sequence of write operations.
     *
     * @param remainingBytes the remainingBytes to set
     */
    public void setRemainingBytes(final int remainingBytes) {
        this.remainingBytes = remainingBytes;
    }

    /**
     * Sets the write operation flags.
     *

			if err == nil || err == io.EOF {
				return entries, err
			}
			entries.truncate(0)
		} else {
			if o.pool < len(z.serverPools) && o.set < len(z.serverPools[o.pool].sets) {
				o.debugln("Resuming", o)
				entries, err = z.serverPools[o.pool].sets[o.set].streamMetadataParts(ctx, *o)
				entries.reuse = true // We read from stream and are not sharing results.
				if err == nil {
					return entries, nil
				}
			} else {

    /**
     * Gets the registration ID.
     *
     * @return the registration ID
     */
    public String getRegistrationId() {
        return registrationId;
    }

    /**
     * Sets the registration ID.
     *
     * @param registrationId the registration ID
     */
    public void setRegistrationId(String registrationId) {
        this.registrationId = registrationId;
    }

    /**

     *
     * @return the total number of records
     */
    public int getAllRecordCount() {
        return allRecordCount;
    }

    /**
     * Sets the total number of records across all pages.
     *
     * @param allRecordCount the total number of records
     */
    public void setAllRecordCount(final int allRecordCount) {

        /** The list of documents to be included in the search result. */
        private final List<Map<String, Object>> documentList = new ArrayList<>();

        /**
         * Sets the total number of records that match the search criteria.
         *
         * @param allRecordCount The total record count
         * @return This builder instance for method chaining
         */

        }
    }

    /**
     * Sets a character as a word character.
     *
     * @param ctype2
     *            The array of character types.
     * @param val
     *            The character code.
     */
    protected static void wordChar(final byte[] ctype2, final int val) {
        ctype2[val] |= CT_ALPHA;
    }

    /**
     * Sets characters as whitespace.
     *
     * @param ctype2