/**
* Appends the given argument frameblock 'that' to this frameblock by creating a deep copy to
* prevent side effects. For cbind, the frames are appended column-wise (same number of rows),
* while for rbind the frames are appended row-wise (same number of columns).
*
* @param that
* @param ret
* @param cbind
* @return
*/
public FrameBlock appendOperations(FrameBlock that, FrameBlock ret, boolean cbind)
throws DMLRuntimeException {
if (cbind) // COLUMN APPEND
{
// sanity check row dimension mismatch
if (getNumRows() != that.getNumRows()) {
throw new DMLRuntimeException(
"Incompatible number of rows for cbind: "
+ that.getNumRows()
+ " (expected: "
+ getNumRows()
+ ")");
}
// allocate output frame
if (ret == null) ret = new FrameBlock();
ret._numRows = _numRows;
// concatenate schemas (w/ deep copy to prevent side effects)
ret._schema = new ArrayList<ValueType>(_schema);
ret._schema.addAll(that._schema);
ret._colnames = new ArrayList<String>(_colnames);
ret._colnames.addAll(that._colnames);
// concatenate column data (w/ deep copy to prevent side effects)
for (Array tmp : _coldata) ret._coldata.add(tmp.clone());
for (Array tmp : that._coldata) ret._coldata.add(tmp.clone());
} else // ROW APPEND
{
// sanity check column dimension mismatch
if (getNumColumns() != that.getNumColumns()) {
throw new DMLRuntimeException(
"Incompatible number of columns for rbind: "
+ that.getNumColumns()
+ " (expected: "
+ getNumColumns()
+ ")");
}
// allocate output frame (incl deep copy schema)
if (ret == null) ret = new FrameBlock();
ret._numRows = _numRows;
ret._schema = new ArrayList<ValueType>(_schema);
ret._colnames = new ArrayList<String>(_colnames);
// concatenate data (deep copy first, append second)
for (Array tmp : _coldata) ret._coldata.add(tmp.clone());
Iterator<Object[]> iter = that.getObjectRowIterator();
while (iter.hasNext()) ret.appendRow(iter.next());
}
return ret;
}
/**
* This function will get slice of the input frame block overlapping in overall slice(Range),
* slice has requested for.
*
* @param val
* @param range
* @param brlen
* @param bclen
* @param outlist
* @throws DMLRuntimeException
*/
public static void performSlice(
Pair<Long, FrameBlock> in,
IndexRange ixrange,
int brlen,
int bclen,
ArrayList<Pair<Long, FrameBlock>> outlist)
throws DMLRuntimeException {
long index = in.getKey();
FrameBlock block = in.getValue();
// Get Block indexes (rows and columns boundaries)
long cellIndexTopRow = index;
long cellIndexBottomRow = index + block.getNumRows() - 1;
long cellIndexLeftCol = 1;
long cellIndexRightCol = block.getNumColumns();
// Calculate block boundaries with range of slice to be performed (Global index)
long cellIndexOverlapTop = Math.max(cellIndexTopRow, ixrange.rowStart);
long cellIndexOverlapBottom = Math.min(cellIndexBottomRow, ixrange.rowEnd);
long cellIndexOverlapLeft = Math.max(cellIndexLeftCol, ixrange.colStart);
long cellIndexOverlapRight = Math.min(cellIndexRightCol, ixrange.colEnd);
// check if block is outside the indexing range
if (cellIndexOverlapTop > cellIndexOverlapBottom
|| cellIndexOverlapLeft > cellIndexOverlapRight) {
return;
}
// Create IndexRange for the slice to be performed on this block.
IndexRange tmpRange =
new IndexRange(
cellIndexOverlapTop - index,
cellIndexOverlapBottom - index,
cellIndexOverlapLeft - 1,
cellIndexOverlapRight - 1);
// Get Top Row and Left column cutting point.
int rowCut = (int) (ixrange.rowStart - index);
// Get indices for result block
long resultBlockIndexTop = UtilFunctions.computeBlockIndex(cellIndexOverlapTop, brlen);
long resultBlockIndexBottom = UtilFunctions.computeBlockIndex(cellIndexOverlapBottom, brlen);
// allocate space for the output value
for (long r = resultBlockIndexTop; r <= resultBlockIndexBottom; r++) {
List<ValueType> schema =
UtilFunctions.getSubSchema(block.getSchema(), tmpRange.colStart, tmpRange.colEnd);
long iResultIndex = (r - 1) * brlen + tmpRange.rowStart;
Pair<Long, FrameBlock> out =
new Pair<Long, FrameBlock>(new Long(iResultIndex + 1), new FrameBlock(schema));
outlist.add(out);
}
// execute actual slice operation
block.sliceOperations(outlist, tmpRange, rowCut);
}
@Override
public MatrixBlock apply(FrameBlock in, MatrixBlock out) {
for (int j = 0; j < _colList.length; j++) {
int col = _colList[j] - 1;
ValueType vt = in.getSchema()[col];
for (int i = 0; i < in.getNumRows(); i++) {
Object val = in.get(i, col);
out.quickSetValue(
i,
col,
(val == null || (vt == ValueType.STRING && val.toString().isEmpty()))
? Double.NaN
: UtilFunctions.objectToDouble(vt, val));
}
}
return out;
}
@Override
public void processInstruction(ExecutionContext ec) throws DMLRuntimeException {
// obtain and pin input frame
FrameBlock fin = ec.getFrameInput(input1.getName());
String spec =
ec.getScalarInput(input2.getName(), input2.getValueType(), input2.isLiteral())
.getStringValue();
String[] colnames = fin.getColumnNames();
// execute block transform encode
Encoder encoder = EncoderFactory.createEncoder(spec, colnames, fin.getNumColumns(), null);
MatrixBlock data =
encoder.encode(
fin, new MatrixBlock(fin.getNumRows(), fin.getNumColumns(), false)); // build and apply
FrameBlock meta = encoder.getMetaData(new FrameBlock(fin.getNumColumns(), ValueType.STRING));
meta.setColumnNames(colnames);
// release input and outputs
ec.releaseFrameInput(input1.getName());
ec.setMatrixOutput(getOutput(0).getName(), data);
ec.setFrameOutput(getOutput(1).getName(), meta);
}
/**
* @param rhsFrame
* @param rl
* @param ru
* @param cl
* @param cu
* @param ret
* @return
*/
public FrameBlock leftIndexingOperations(
FrameBlock rhsFrame, int rl, int ru, int cl, int cu, FrameBlock ret)
throws DMLRuntimeException {
// check the validity of bounds
if (rl < 0
|| rl >= getNumRows()
|| ru < rl
|| ru >= getNumRows()
|| cl < 0
|| cu >= getNumColumns()
|| cu < cl
|| cu >= getNumColumns()) {
throw new DMLRuntimeException(
"Invalid values for frame indexing: ["
+ (rl + 1)
+ ":"
+ (ru + 1)
+ ","
+ (cl + 1)
+ ":"
+ (cu + 1)
+ "] "
+ "must be within frame dimensions ["
+ getNumRows()
+ ","
+ getNumColumns()
+ "].");
}
if ((ru - rl + 1) < rhsFrame.getNumRows() || (cu - cl + 1) < rhsFrame.getNumColumns()) {
throw new DMLRuntimeException(
"Invalid values for frame indexing: "
+ "dimensions of the source frame ["
+ rhsFrame.getNumRows()
+ "x"
+ rhsFrame.getNumColumns()
+ "] "
+ "do not match the shape of the frame specified by indices ["
+ (rl + 1)
+ ":"
+ (ru + 1)
+ ", "
+ (cl + 1)
+ ":"
+ (cu + 1)
+ "].");
}
// allocate output frame (incl deep copy schema)
if (ret == null) ret = new FrameBlock();
ret._numRows = _numRows;
ret._schema = new ArrayList<ValueType>(_schema);
ret._colnames = new ArrayList<String>(_colnames);
// copy data to output and partial overwrite w/ rhs
for (int j = 0; j < getNumColumns(); j++) {
Array tmp = _coldata.get(j).clone();
if (j >= cl && j <= cu) tmp.set(rl, ru, rhsFrame._coldata.get(j - cl));
ret._coldata.add(tmp);
}
return ret;
}
/**
* @param in
* @param ixrange
* @param brlen
* @param bclen
* @param rlen
* @param clen
* @param outlist
* @throws DMLRuntimeException
*/
public static void performShift(
Pair<Long, FrameBlock> in,
IndexRange ixrange,
int brlenLeft,
int clenLeft /*, int bclen*/,
long rlen,
long clen,
ArrayList<Pair<Long, FrameBlock>> outlist)
throws DMLRuntimeException {
Long ix = in.getKey();
FrameBlock fb = in.getValue();
long start_lhs_globalRowIndex = ixrange.rowStart + (ix - 1);
long start_lhs_globalColIndex = ixrange.colStart;
long end_lhs_globalRowIndex = start_lhs_globalRowIndex + fb.getNumRows() - 1;
long end_lhs_globalColIndex = ixrange.colEnd;
long start_lhs_rowIndex = UtilFunctions.computeBlockIndex(start_lhs_globalRowIndex, brlenLeft);
long end_lhs_rowIndex = UtilFunctions.computeBlockIndex(end_lhs_globalRowIndex, brlenLeft);
for (long leftRowIndex = start_lhs_rowIndex; leftRowIndex <= end_lhs_rowIndex; leftRowIndex++) {
// Calculate global index of right hand side block
long lhs_rl = Math.max((leftRowIndex - 1) * brlenLeft + 1, start_lhs_globalRowIndex);
long lhs_ru = Math.min(leftRowIndex * brlenLeft, end_lhs_globalRowIndex);
long lhs_cl = start_lhs_globalColIndex;
long lhs_cu = end_lhs_globalColIndex;
int lhs_lrl = UtilFunctions.computeCellInBlock(lhs_rl, brlenLeft);
int lhs_lru = UtilFunctions.computeCellInBlock(lhs_ru, brlenLeft);
int lhs_lcl = (int) lhs_cl - 1;
int lhs_lcu = (int) lhs_cu - 1;
long rhs_rl = lhs_rl - (ixrange.rowStart - 1) - (ix - 1);
long rhs_ru = rhs_rl + (lhs_ru - lhs_rl);
long rhs_cl = lhs_cl - ixrange.colStart + 1;
long rhs_cu = rhs_cl + (lhs_cu - lhs_cl);
// local indices are 0 (zero) based.
int rhs_lrl = (int) (UtilFunctions.computeCellInBlock(rhs_rl, fb.getNumRows()));
int rhs_lru = (int) (UtilFunctions.computeCellInBlock(rhs_ru, fb.getNumRows()));
int rhs_lcl = (int) rhs_cl - 1;
int rhs_lcu = (int) rhs_cu - 1;
FrameBlock slicedRHSBlk =
fb.sliceOperations(rhs_lrl, rhs_lru, rhs_lcl, rhs_lcu, new FrameBlock());
int lbclen = clenLeft;
List<ValueType> schemaPartialLeft = Collections.nCopies(lhs_lcl, ValueType.STRING);
List<ValueType> schemaRHS =
UtilFunctions.getSubSchema(fb.getSchema(), rhs_lcl, rhs_lcl - lhs_lcl + lhs_lcu);
List<ValueType> schema = new ArrayList<ValueType>(schemaPartialLeft);
schema.addAll(schemaRHS);
List<ValueType> schemaPartialRight =
Collections.nCopies(lbclen - schema.size(), ValueType.STRING);
schema.addAll(schemaPartialRight);
FrameBlock resultBlock = new FrameBlock(schema);
int iRHSRows =
(int)
(leftRowIndex <= rlen / brlenLeft
? brlenLeft
: rlen - (rlen / brlenLeft) * brlenLeft);
resultBlock.ensureAllocatedColumns(iRHSRows);
resultBlock =
resultBlock.leftIndexingOperations(
slicedRHSBlk, lhs_lrl, lhs_lru, lhs_lcl, lhs_lcu, new FrameBlock());
outlist.add(new Pair<Long, FrameBlock>((leftRowIndex - 1) * brlenLeft + 1, resultBlock));
}
}