return parentKey + nestedKeySeparator + currentKey;
    }

    /**
     * Sets the maximum depth for nested structure extraction.
     *
     * @param maxDepth the maximum depth
     */
    public void setMaxDepth(final int maxDepth) {
        this.maxDepth = maxDepth;
    }

    /**
     * Sets the field separator for key-value pairs.
     *
     * @param fieldSeparator the field separator

    /**
     * Sets the index name.
     * @param index The index name.
     */
    public void setIndex(final String index) {
        this.index = index;
    }

    /**
     * Sets the size of results.
     * @param size The size.
     */
    public void setSize(final int size) {
        this.size = size;
    }

    /**
     * Sets the query string.

        this.result = result;
    }

    /**
     * Gets the interim result of the model building up to the point where it failed.
     *
     * @return The interim model building result or {@code null} if not available.
     */
    public ModelBuilderResult getResult() {
        return result;
    }

    /**

   
   
   *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.id = id;
        this.attributes = attributes;
    }

    /**
     * Gets the Security Identifier.
     *
     * @return the SID associated with this instance
     */
    public SID getId() {
        return this.id;
    }

    /**
     * Gets the attribute flags associated with the SID.
     *
     * @return the attribute flags
     */
    public int getAttributes() {

     * {@inheritDoc}
     *
     * @see java.lang.AutoCloseable#close()
     */
    @Override
    void close();

    /**
     * Gets the address of the remote SMB server.
     *
     * @return the connected address
     */
    Address getRemoteAddress();

    /**
     * Gets the host name of the remote SMB server.
     *
     * @return the connected host name
     */
    String getRemoteHostName();

     *
     * @return OEM encoding to use
     */
    String getOemEncoding();

    /**
     * Gets the local timezone for time-related operations
     *
     * @return local timezone
     */
    TimeZone getLocalTimezone();

    /**
     * Gets the process ID to use in SMB messages
     *
     * @return Process id to send, randomized if unset
     */
    int getPid();

        this.availableResources = -1;
        this.requestedResources = -1;
    }

    /**
     * Gets the resource type
     *
     * @return the resource type
     */
    public ResourceType getResourceType() {
        return resourceType;
    }

    /**
     * Gets available resources
     *
     * @return available resources or -1 if unknown
     */

    private int chunkBytesWritten;
    private int totalBytesWritten;

    /**
     * Gets the number of bytes written in the last chunk
     * @return the chunkBytesWritten
     */
    public int getChunkBytesWritten() {
        return this.chunkBytesWritten;
    }

    /**
     * Gets the number of chunks successfully written
     * @return the chunksWritten
     */
    public int getChunksWritten() {

// consistently for a given object name.
func TestHashedLayer(t *testing.T) {
	// Test distribution with 16 sets.
	var objs [16]*erasureObjects
	for i := range objs {
		objs[i] = &erasureObjects{}
	}

	sets := &erasureSets{sets: objs[:], distributionAlgo: "CRCMOD"}

	testCases := []struct {
		objectName  string
		expectedObj *erasureObjects
	}{