}
	return tw.writeRawHeader(blk, hdr.Size, hdr.Typeflag)
}

func (tw *Writer) writePAXHeader(hdr *Header, paxHdrs map[string]string) error {
	realName, realSize := hdr.Name, hdr.Size

	// TODO(dsnet): Re-enable this when adding sparse support.
	// See https://golang.org/issue/22735
	/*
		// Handle sparse files.
		var spd sparseDatas
		var spb []byte
		if len(hdr.SparseHoles) > 0 {

     */
    protected void setupListCondition(final GroupCB cb, final GroupPager groupPager) {
        if (groupPager.id != null) {
            cb.query().docMeta().setId_Equal(groupPager.id);
        }
        // TODO Long, Integer, String supported only.

        // setup condition
        cb.query().addOrderBy_Name_Asc();

        // search

    }

    /**

    stopwatch.start();
    ticker.advance(999999);
    assertEquals(0, stopwatch.elapsed(MILLISECONDS));
    ticker.advance(1);
    assertEquals(1, stopwatch.elapsed(MILLISECONDS));
  }

  @J2ktIncompatible // TODO(b/259213718): Switch J2kt to String.format("%.4g") once that's supported
  public void testToString() {
    stopwatch.start();
    assertEquals("0.000 ns", stopwatch.toString());
    ticker.advance(1);

    if (singleByte) {
      for (int i = off; i < off + len; i++) {
        out.write(b[i]);
      }
    } else {
      out.write(b, off, len);
    }
    out.flush(); // for coverage
  }

  // TODO(chrisn): only works if we ensure we have crossed file threshold

  public void testWriteErrorAfterClose() throws Exception {
    byte[] data = newPreFilledByteArray(100);

    this.equivalence = checkNotNull(equivalence);
    this.relationshipName = checkNotNull(relationshipName);
    this.hashName = checkNotNull(hashName);
    this.itemReporter = checkNotNull(itemReporter);
  }

  // TODO(cpovirk): should we reject null items, since the tests already check null automatically?
  @CanIgnoreReturnValue
  public RelationshipTester<T> addRelatedGroup(Iterable<? extends T> group) {

Esto funciona de la misma manera que con los modelos de Pydantic. Y en realidad se logra de la misma manera internamente, utilizando Pydantic.

/// info | Información

Ten en cuenta que los dataclasses no pueden hacer todo lo que los modelos de Pydantic pueden hacer.

Así que, podrías necesitar seguir usando modelos de Pydantic.

  public void testPutAllNullValueSingle_unsupported() {
    multimap().putAll(k1(), newArrayList((V) null));
    expectUnchanged();
  }

  // In principle, it would be nice to apply these two tests to keys with existing values, too.

  @MapFeature.Require(value = SUPPORTS_PUT, absent = ALLOWS_NULL_VALUES)
  public void testPutAllNullValueNullLast_unsupported() {
    int size = getNumElements();

    assertThrows(

     *
     * @see jcifs.util.transport.Response#verifySignature(byte[], int, int)
     */
    @Override
    public boolean verifySignature(final byte[] buffer, final int i, final int size) {
        // observed too that signatures on error responses are sometimes wrong??
        // Looks like the failure case also is just reflecting back the signature we sent

        if (length < MIN_COMPRESSION_SIZE) {
            log.debug("Data too small for compression ({} bytes), returning uncompressed", length);
            byte[] result = new byte[length];
            System.arraycopy(data, offset, result, 0, length);
            return result;
        }
        if (length > MAX_COMPRESSION_SIZE) {
            throw new CIFSException("Data too large for compression: " + length + " bytes");
        }

@SuppressWarnings("JUnit4ClassUsedInJUnit3")
public abstract class AbstractMultisetSetCountTester<E> extends AbstractMultisetTester<E> {
  /*
   * TODO: consider adding MultisetFeatures.SUPPORTS_SET_COUNT. Currently we
   * assume that using setCount() to increase the count is permitted iff add()
   * is permitted and similarly for decrease/remove(). We assume that a