// PREpend all of 'nc' onto the current NewChunk. Kill nc.
public void addr(NewChunk nc) {
long[] tmpl = _ls;
_ls = nc._ls;
nc._ls = tmpl;
int[] tmpi = _xs;
_xs = nc._xs;
nc._xs = tmpi;
tmpi = _id;
_id = nc._id;
nc._id = tmpi;
double[] tmpd = _ds;
_ds = nc._ds;
nc._ds = tmpd;
int tmp = _sparseLen;
_sparseLen = nc._sparseLen;
nc._sparseLen = tmp;
tmp = _len;
_len = nc._len;
nc._len = tmp;
add(nc);
}
private void rebalanceChunk(Vec srcVec, Chunk chk) {
NewChunk dst = new NewChunk(chk);
dst._len = dst._len2 = 0;
int rem = chk._len;
while (rem > 0 && dst._len2 < chk._len) {
Chunk srcRaw = srcVec.chunkForRow(chk._start + dst._len2);
NewChunk src = new NewChunk((srcRaw));
src = srcRaw.inflate_impl(src);
assert src._len2 == srcRaw._len;
int srcFrom = (int) (chk._start + dst._len2 - src._start);
// check if the result is sparse (not exact since we only take subset of src in general)
if ((src.sparse() && dst.sparse())
|| (src._len + dst._len < NewChunk.MIN_SPARSE_RATIO * (src._len2 + dst._len2))) {
src.set_sparse(src._len);
dst.set_sparse(dst._len);
}
final int srcTo = srcFrom + rem;
int off = srcFrom - 1;
Iterator<NewChunk.Value> it = src.values(Math.max(0, srcFrom), srcTo);
while (it.hasNext()) {
NewChunk.Value v = it.next();
final int rid = v.rowId0();
assert rid < srcTo;
int add = rid - off;
off = rid;
dst.addZeros(add - 1);
v.add2Chunk(dst);
rem -= add;
assert rem >= 0;
}
int trailingZeros = Math.min(rem, src._len2 - off - 1);
dst.addZeros(trailingZeros);
rem -= trailingZeros;
}
assert rem == 0 : "rem = " + rem;
assert dst._len2 == chk._len : "len2 = " + dst._len2 + ", _len = " + chk._len;
dst.close(dst.cidx(), _fs);
}