setDefault(Integer.class, 1);
    setDefault(long.class, 1L);
    setDefault(Long.class, 1L);
    setDefault(float.class, 1F);
    setDefault(Float.class, 1F);
    setDefault(double.class, 1D);
    setDefault(Double.class, 1D);
    setDefault(Class.class, Class.class);
  }

  /**
   * Sets the default value for {@code type}. The default value isn't used in testing {@link

query.facet.fields.sort=count.desc
# Value for missing facet fields.
query.facet.fields.missing=
# Facet queries definition.
query.facet.queries=\
labels.facet_timestamp_title:\
labels.facet_timestamp_1day=timestamp:[now/d-1d TO *]\t\
labels.facet_timestamp_1week=timestamp:[now/d-7d TO *]\t\
labels.facet_timestamp_1month=timestamp:[now/d-1M TO *]\t\
labels.facet_timestamp_1year=timestamp:[now/d-1y TO *]\n\
labels.facet_contentLength_title:\

    String QUERY_FACET_FIELDS_MISSING = "query.facet.fields.missing";

    /** The key of the configuration. e.g. labels.facet_timestamp_title:labels.facet_timestamp_1day=timestamp:[now/d-1d TO *]	labels.facet_timestamp_1week=timestamp:[now/d-7d TO *]	labels.facet_timestamp_1month=timestamp:[now/d-1M TO *]	labels.facet_timestamp_1year=timestamp:[now/d-1y TO *]<br>

        the batch.
    *   Support indicator column in boosted trees.
    *   Prevent `tf.gradients()` from backpropagating through integer tensors.
    *   LinearOperator[1D,2D,3D]Circulant added to `tensorflow.linalg`.
    *   Conv3D, Conv3DBackpropInput, Conv3DBackpropFilter now supports
        arbitrary.
    *   Added `tf.train.Checkpoint` for reading/writing object-based