// Omit specify fields that you want to ignore when creating, updating and querying
func (db *DB) Omit(columns ...string) (tx *DB) {
	tx = db.getInstance()

	if len(columns) == 1 && strings.ContainsRune(columns[0], ',') {
		tx.Statement.Omits = strings.FieldsFunc(columns[0], utils.IsInvalidDBNameChar)
	} else {
		tx.Statement.Omits = columns
	}
	return
}

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package disk

import (
	"path/filepath"
	"syscall"
	"unsafe"
)

// GetVolumeInformation provides windows drive volume information.
var GetVolumeInformation = kernel32.NewProc("GetVolumeInformationW")

// getFSType returns the filesystem type of the underlying mounted filesystem
func getFSType(path string) string {

        return removeFromColumnIf(Maps.keyPredicateOnEntries(not(in(c))));
      }
    }

    @Override
    Collection<V> createValues() {
      return new Values();
    }

    @WeakOuter
    private final class Values extends Maps.Values<R, V> {
      Values() {
        super(Column.this);
      }

      @Override
      public boolean remove(@Nullable Object obj) {

    implements Serializable {

  /**
   * Returns a {@code Collector} that accumulates elements into an {@code ImmutableTable}. Each
   * input element is mapped to one cell in the returned table, with the rows, columns, and values
   * generated by applying the specified functions.
   *
   * <p>The returned {@code Collector} will throw a {@code NullPointerException} at collection time

	}
}

func TestCommonParities(t *testing.T) {
	// This test uses two FileInfo values that represent the same object but
	// have different parities. They occur in equal number of drives, but only
	// one has read quorum. commonParity should pick the parity corresponding to
	// the FileInfo which has read quorum.
	fi1 := FileInfo{
		Volume:         "mybucket",
		Name:           "myobject",
		VersionID:      "",

func (j *xlMetaV2Version) ToFileInfo(volume, path string, allParts bool) (fi FileInfo, err error) {
	if j == nil {
		return fi, errFileNotFound
	}
	switch j.Type {
	case ObjectType:
		fi, err = j.ObjectV2.ToFileInfo(volume, path, allParts)
	case DeleteType:
		fi, err = j.DeleteMarker.ToFileInfo(volume, path)
	case LegacyType:
		fi, err = j.ObjectV1.ToFileInfo(volume, path)
	default:
		return fi, errFileNotFound

/**
 * Implementation of {@code Table} whose iteration ordering across row keys is sorted by their
 * natural ordering or by a supplied comparator. Note that iterations across the columns keys for a
 * single row key may or may not be ordered, depending on the implementation. When rows and columns
 * are both sorted, it's easier to use the {@link TreeBasedTable} subclass.
 *
 * <p>The {@link #rowKeySet} method returns a {@link SortedSet} and the {@link #rowMap} method

 *
 * <p>The views returned by {@link #column}, {@link #columnKeySet()}, and {@link #columnMap()} have
 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

 *
 * <p>The views returned by {@link #column}, {@link #columnKeySet()}, and {@link #columnMap()} have
 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

  /**
   * Returns a collection of all values, which may contain duplicates. Changes to the returned
   * collection will update the underlying table, and vice versa.
   *
   * @return collection of values
   */
  Collection<V> values();

  /**
   * Returns a view that associates each row key with the corresponding map from column keys to