static <R, C, V> RegularImmutableTable<R, C, V> forOrderedComponents(
      ImmutableList<Cell<R, C, V>> cellList,
      ImmutableSet<R> rowSpace,
      ImmutableSet<C> columnSpace) {
    // use a dense table if more than half of the cells have values
    // TODO(gak): tune this condition based on empirical evidence
    return (cellList.size() > (((long) rowSpace.size() * columnSpace.size()) / 2))

    Builder<Integer, String> builder = ImmutableMap.builder();
    Map<Integer, String> expected = new LinkedHashMap<>();
    for (int i = 0; i < 1000; i++) {
      // Truncate to even key, so we have put(0, "0") then put(0, "1"). Half the entries are
      // duplicates.
      Integer key = i & ~1;
      String value = String.valueOf(i);
      builder.put(key, value);
      expected.put(key, value);
    }

    // nothing really to assert?
    assertSame(CharStreams.nullWriter(), CharStreams.nullWriter());
  }

  /**
   * Returns a reader wrapping the given reader that only reads half of the maximum number of
   * characters that it could read in read(char[], int, int).
   */
  private static Reader newNonBufferFillingReader(Reader reader) {
    return new FilterReader(reader) {
      @Override

    // nothing really to assert?
    assertSame(CharStreams.nullWriter(), CharStreams.nullWriter());
  }

  /**
   * Returns a reader wrapping the given reader that only reads half of the maximum number of
   * characters that it could read in read(char[], int, int).
   */
  private static Reader newNonBufferFillingReader(Reader reader) {
    return new FilterReader(reader) {
      @Override

    Builder<Integer, String> builder = ImmutableMap.builder();
    Map<Integer, String> expected = new LinkedHashMap<>();
    for (int i = 0; i < 1000; i++) {
      // Truncate to even key, so we have put(0, "0") then put(0, "1"). Half the entries are
      // duplicates.
      Integer key = i & ~1;
      String value = String.valueOf(i);
      builder.put(key, value);
      expected.put(key, value);
    }

  }

  /*
   * Whenever an implementation uses `instanceof` on a parameter instance, the test has to know that
   * (so much for "black box") and try instances that both do and don't pass the check. The "don't"
   * half of that is more awkward to arrange...
   */
  private static <T> Iterable<T> iterable(final Collection<T> collection) {
    // return collection::iterator;
    return new Iterable<T>() {
      @Override

  }

  /*
   * Whenever an implementation uses `instanceof` on a parameter instance, the test has to know that
   * (so much for "black box") and try instances that both do and don't pass the check. The "don't"
   * half of that is more awkward to arrange...
   */
  private static <T> Iterable<T> iterable(final Collection<T> collection) {
    // return collection::iterator;
    return new Iterable<T>() {
      @Override

  }

  /*
   * Whenever an implementation uses `instanceof` on a parameter instance, the test has to know that
   * (so much for "black box") and try instances that both do and don't pass the check. The "don't"
   * half of that is more awkward to arrange...
   */
  private static <T> Iterable<T> iterable(final Collection<T> collection) {
    // return collection::iterator;
    return new Iterable<T>() {
      @Override

func objectQuorumFromMeta(ctx context.Context, partsMetaData []FileInfo, errs []error, defaultParityCount int) (objectReadQuorum, objectWriteQuorum int, err error) {
	// There should be at least half correct entries, if not return failure
	expectedRQuorum := len(partsMetaData) / 2
	if defaultParityCount == 0 {
		// if parity count is '0', we expected all entries to be present.
		expectedRQuorum = len(partsMetaData)
	}

// The returned cache will always be valid, but may not be updated from the existing.
// Before each operation sleepDuration is called which can be used to temporarily halt the scanner.
// If the supplied context is canceled the function will return at the first chance.