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/*
* 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.compress;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.apache.sysds.runtime.compress.colgroup.AColGroup;
/**
* Compression Statistics contain the main information gathered from the compression, such as sizes of the original
* matrix, vs the compressed representation at different stages of the compression.
*/
public class CompressionStatistics {
/** Size of the original input */
public long originalSize;
/** Size if the input is dense */
public long denseSize;
/** Size if the input is sparse */
public long sparseSize;
/** Estimated size of compressing individual columns */
public long estimatedSizeCols;
/** Estimated size of compressing after co-coding */
public long estimatedSizeCoCoded;
/** Compression size after compressing but before finalize */
public long compressedInitialSize;
/** Compressed size */
public long compressedSize;
/** Cost calculated by the cost estimator on input */
public double originalCost = Double.NaN;
/** Summed cost estimated from individual columns */
public double estimatedCostCols = Double.NaN;
/** Summed cost after cocoding */
public double estimatedCostCoCoded = Double.NaN;
/** Compressed cost after compression but before finalize */
public double compressedInitialCost = Double.NaN;
/** Cost of the compressed representation */
public double compressedCost = Double.NaN;
/** local hashmap to count the column group instances */
private Map<String, int[]> colGroupCounts;
/**
* Set array of counts regarding col group types.
*
* The position corresponds with the enum ordinal.
*
* @param colGroups list of ColGroups used in compression.
*/
protected void setColGroupsCounts(List<AColGroup> colGroups) {
HashMap<String, int[]> ret = new HashMap<>();
for(AColGroup c : colGroups) {
String ct = c.getClass().getSimpleName();
int colCount = c.getNumCols();
int[] values;
if(ret.containsKey(ct)) {
values = ret.get(ct);
values[0] += 1;
values[1] += colCount;
}
else {
values = new int[] {1, colCount};
}
ret.put(ct, values);
}
this.colGroupCounts = ret;
}
public String getGroupsTypesString() {
StringBuilder sb = new StringBuilder();
for(String ctKey : colGroupCounts.keySet())
sb.append(ctKey + ":" + colGroupCounts.get(ctKey)[0] + " ");
return sb.toString();
}
public String getGroupsSizesString() {
StringBuilder sb = new StringBuilder();
for(String ctKey : colGroupCounts.keySet())
sb.append(ctKey + ":" + colGroupCounts.get(ctKey)[1] + " ");
return sb.toString();
}
public double getRatio() {
return compressedSize == 0.0 ? Double.POSITIVE_INFINITY : (double) originalSize / compressedSize;
}
public double getDenseRatio() {
return compressedSize == 0.0 ? Double.POSITIVE_INFINITY : (double) denseSize / compressedSize;
}
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("\nCompressionStatistics:");
sb.append("\nDense Size : " + denseSize);
sb.append("\nOriginal Size : " + originalSize);
sb.append("\nCompressed Size : " + compressedSize);
sb.append("\nCompressionRatio : " + getRatio());
sb.append("\nDenseCompressionRatio : " + getDenseRatio());
if(colGroupCounts != null) {
sb.append("\nCompressionTypes : " + getGroupsTypesString());
sb.append("\nCompressionGroupSizes : " + getGroupsSizesString());
}
return sb.toString();
}
}