| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, |
| * software distributed under the License is distributed on an |
| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| * KIND, either express or implied. See the License for the |
| * specific language governing permissions and limitations |
| * under the License. |
| */ |
| |
| package org.apache.sysds.runtime.transform.encode; |
| |
| import java.util.TreeSet; |
| import java.util.stream.Collectors; |
| |
| import org.apache.sysds.common.Types.ValueType; |
| import org.apache.sysds.runtime.matrix.data.FrameBlock; |
| import org.apache.sysds.runtime.matrix.data.MatrixBlock; |
| import org.apache.sysds.runtime.transform.TfUtils; |
| import org.apache.sysds.runtime.transform.TfUtils.TfMethod; |
| import org.apache.sysds.runtime.transform.meta.TfMetaUtils; |
| import org.apache.sysds.runtime.util.IndexRange; |
| import org.apache.sysds.runtime.util.UtilFunctions; |
| import org.apache.wink.json4j.JSONException; |
| import org.apache.wink.json4j.JSONObject; |
| |
| public class EncoderOmit extends Encoder |
| { |
| private static final long serialVersionUID = 1978852120416654195L; |
| |
| private boolean _federated = false; |
| //TODO perf replace with boolean[rlen] similar to removeEmpty |
| private TreeSet<Integer> _rmRows = new TreeSet<>(); |
| |
| public EncoderOmit(JSONObject parsedSpec, String[] colnames, int clen, int minCol, int maxCol) |
| throws JSONException |
| { |
| super(null, clen); |
| if (!parsedSpec.containsKey(TfMethod.OMIT.toString())) |
| return; |
| int[] collist = TfMetaUtils.parseJsonIDList(parsedSpec, colnames, TfMethod.OMIT.toString(), minCol, maxCol); |
| initColList(collist); |
| _federated = minCol != -1 || maxCol != -1; |
| } |
| |
| public EncoderOmit() { |
| super(new int[0], 0); |
| } |
| |
| public EncoderOmit(boolean federated) { |
| this(); |
| _federated = federated; |
| } |
| |
| |
| private EncoderOmit(int[] colList, int clen, TreeSet<Integer> rmRows) { |
| super(colList, clen); |
| _rmRows = rmRows; |
| _federated = true; |
| } |
| |
| public int getNumRemovedRows() { |
| return _rmRows.size(); |
| } |
| |
| public boolean omit(String[] words, TfUtils agents) |
| { |
| if( !isApplicable() ) |
| return false; |
| |
| for(int i=0; i<_colList.length; i++) { |
| int colID = _colList[i]; |
| if(TfUtils.isNA(agents.getNAStrings(),UtilFunctions.unquote(words[colID-1].trim()))) |
| return true; |
| } |
| return false; |
| } |
| |
| @Override |
| public MatrixBlock encode(FrameBlock in, MatrixBlock out) { |
| return apply(in, out); |
| } |
| |
| @Override |
| public void build(FrameBlock in) { |
| if(_federated) |
| _rmRows = computeRmRows(in); |
| } |
| |
| @Override |
| public MatrixBlock apply(FrameBlock in, MatrixBlock out) { |
| // local rmRows for broadcasting encoder in spark |
| TreeSet<Integer> rmRows; |
| if(_federated) |
| rmRows = _rmRows; |
| else |
| rmRows = computeRmRows(in); |
| |
| // determine output size |
| int numRows = out.getNumRows() - rmRows.size(); |
| |
| // copy over valid rows into the output |
| MatrixBlock ret = new MatrixBlock(numRows, out.getNumColumns(), false); |
| int pos = 0; |
| for(int i = 0; i < in.getNumRows(); i++) { |
| // copy row if necessary |
| if(!rmRows.contains(i)) { |
| for(int j = 0; j < out.getNumColumns(); j++) |
| ret.quickSetValue(pos, j, out.quickGetValue(i, j)); |
| pos++; |
| } |
| } |
| |
| _rmRows = rmRows; |
| |
| return ret; |
| } |
| |
| private TreeSet<Integer> computeRmRows(FrameBlock in) { |
| TreeSet<Integer> rmRows = new TreeSet<>(); |
| ValueType[] schema = in.getSchema(); |
| for(int i = 0; i < in.getNumRows(); i++) { |
| boolean valid = true; |
| for(int colID : _colList) { |
| Object val = in.get(i, colID - 1); |
| valid &= !(val == null || (schema[colID - 1] == ValueType.STRING && val.toString().isEmpty())); |
| } |
| if(!valid) |
| rmRows.add(i); |
| } |
| return rmRows; |
| } |
| |
| @Override |
| public Encoder subRangeEncoder(IndexRange ixRange) { |
| int[] colList = subRangeColList(ixRange); |
| if(colList.length == 0) |
| // empty encoder -> sub range encoder does not exist |
| return null; |
| |
| TreeSet<Integer> rmRows = _rmRows.stream().filter((row) -> ixRange.inRowRange(row + 1)) |
| .map((row) -> (int) (row - (ixRange.rowStart - 1))).collect(Collectors.toCollection(TreeSet::new)); |
| |
| return new EncoderOmit(colList, (int) (ixRange.colSpan()), rmRows); |
| } |
| |
| @Override |
| public void mergeAt(Encoder other, int col) { |
| if(other instanceof EncoderOmit) { |
| mergeColumnInfo(other, col); |
| _rmRows.addAll(((EncoderOmit) other)._rmRows); |
| return; |
| } |
| super.mergeAt(other, col); |
| } |
| |
| @Override |
| public void updateIndexRanges(long[] beginDims, long[] endDims) { |
| // first update begin dims |
| int numRowsToRemove = 0; |
| Integer removedRow = _rmRows.ceiling(0); |
| while(removedRow != null && removedRow < beginDims[0]) { |
| numRowsToRemove++; |
| removedRow = _rmRows.ceiling(removedRow + 1); |
| } |
| beginDims[0] -= numRowsToRemove; |
| // update end dims |
| while(removedRow != null && removedRow < endDims[0]) { |
| numRowsToRemove++; |
| removedRow = _rmRows.ceiling(removedRow + 1); |
| } |
| endDims[0] -= numRowsToRemove; |
| } |
| |
| @Override |
| public FrameBlock getMetaData(FrameBlock out) { |
| //do nothing |
| return out; |
| } |
| |
| @Override |
| public void initMetaData(FrameBlock meta) { |
| //do nothing |
| } |
| } |