}
				case testReadFrom:
					f := &testFile{ops: tf.ops}
					got, err := tw.readFrom(f)
					if _, ok := err.(testError); ok {
						t.Errorf("test %d, ReadFrom(): %v", i, err)
					} else if got != tf.wantCnt || !equalError(err, tf.wantErr) {
						t.Errorf("test %d, ReadFrom() = (%d, %v), want (%d, %v)", i, got, err, tf.wantCnt, tf.wantErr)
					}
					if len(f.ops) > 0 {

	n := copy(b.buf[b.n:], s)
	b.n += n
	nn += n
	return nn, nil
}

// ReadFrom implements [io.ReaderFrom]. If the underlying writer
// supports the ReadFrom method, this calls the underlying ReadFrom.
// If there is buffered data and an underlying ReadFrom, this fills
// the buffer and writes it before calling ReadFrom.
func (b *Writer) ReadFrom(r io.Reader) (n int64, err error) {
	if b.err != nil {
		return 0, b.err
	}

 * has not actually been put in the {@code BloomFilter}.
 *
 * <p>Bloom filters are serializable. They also support a more compact serial representation via the
 * {@link #writeTo} and {@link #readFrom} methods. Both serialized forms will continue to be
 * supported by future versions of this library. However, serial forms generated by newer versions

      bf.put(Ints.toByteArray(i));
    }

    ByteArrayOutputStream out = new ByteArrayOutputStream();
    bf.writeTo(out);

    BloomFilter<byte[]> read =
        BloomFilter.readFrom(new ByteArrayInputStream(out.toByteArray()), funnel);
    assertThat(read).isEqualTo(bf);
    assertThat(read.expectedFpp()).isGreaterThan(0);
  }

  /**