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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.lucene.util.packed;
import static org.apache.lucene.util.packed.MonotonicBlockPackedReader.expected;
import org.apache.lucene.util.ArrayUtil;
import org.apache.lucene.util.RamUsageEstimator;
import org.apache.lucene.util.packed.PackedInts.Reader;
class MonotonicLongValues extends DeltaPackedLongValues {
private static final long BASE_RAM_BYTES_USED = RamUsageEstimator.shallowSizeOfInstance(MonotonicLongValues.class);
final float[] averages;
MonotonicLongValues(int pageShift, int pageMask, Reader[] values, long[] mins, float[] averages, long size, long ramBytesUsed) {
super(pageShift, pageMask, values, mins, size, ramBytesUsed);
assert values.length == averages.length;
this.averages = averages;
}
@Override
long get(int block, int element) {
return expected(mins[block], averages[block], element) + values[block].get(element);
}
@Override
int decodeBlock(int block, long[] dest) {
final int count = super.decodeBlock(block, dest);
final float average = averages[block];
for (int i = 0; i < count; ++i) {
dest[i] += expected(0, average, i);
}
return count;
}
static class Builder extends DeltaPackedLongValues.Builder {
private static final long BASE_RAM_BYTES_USED = RamUsageEstimator.shallowSizeOfInstance(Builder.class);
float[] averages;
Builder(int pageSize, float acceptableOverheadRatio) {
super(pageSize, acceptableOverheadRatio);
averages = new float[values.length];
ramBytesUsed += RamUsageEstimator.sizeOf(averages);
}
@Override
long baseRamBytesUsed() {
return BASE_RAM_BYTES_USED;
}
@Override
public MonotonicLongValues build() {
finish();
pending = null;
final PackedInts.Reader[] values = ArrayUtil.copyOfSubArray(this.values, 0, valuesOff);
final long[] mins = ArrayUtil.copyOfSubArray(this.mins, 0, valuesOff);
final float[] averages = ArrayUtil.copyOfSubArray(this.averages, 0, valuesOff);
final long ramBytesUsed = MonotonicLongValues.BASE_RAM_BYTES_USED
+ RamUsageEstimator.sizeOf(values) + RamUsageEstimator.sizeOf(mins)
+ RamUsageEstimator.sizeOf(averages);
return new MonotonicLongValues(pageShift, pageMask, values, mins, averages, size, ramBytesUsed);
}
@Override
void pack(long[] values, int numValues, int block, float acceptableOverheadRatio) {
final float average = numValues == 1 ? 0 : (float) (values[numValues - 1] - values[0]) / (numValues - 1);
for (int i = 0; i < numValues; ++i) {
values[i] -= expected(0, average, i);
}
super.pack(values, numValues, block, acceptableOverheadRatio);
averages[block] = average;
}
@Override
void grow(int newBlockCount) {
super.grow(newBlockCount);
ramBytesUsed -= RamUsageEstimator.sizeOf(averages);
averages = ArrayUtil.growExact(averages, newBlockCount);
ramBytesUsed += RamUsageEstimator.sizeOf(averages);
}
}
}