blob: 99f41cb701273956780d7e2d5bb2fe4a9e4f952c [file]
/*
* 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
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package org.apache.datasketches.sampling;
import static org.apache.datasketches.common.TestUtil.javaPath;
import java.io.IOException;
import java.nio.file.Files;
import org.apache.datasketches.common.ArrayOfDoublesSerDe;
import org.testng.annotations.Test;
public class VarOptUnionSerDeTest {
@Test(groups = {"generate_java_files"})
public void generateBinariesForCompatibilityTesting() throws IOException {
final int kSmall = 16;
final int n1 = 32;
final int n2 = 64;
final int kMax = 128;
// small k sketch, but sampling
VarOptItemsSketch<Double> sketch = VarOptItemsSketch.newInstance(kSmall);
for (int i = 0; i < n1; ++i) {
sketch.update(1.0 * i, 1.0);
}
sketch.update(-1.0, n1 * n1); // heavy items have negative weights to allow a simple predicate to filter
final VarOptItemsUnion<Double> union = VarOptItemsUnion.newInstance(kMax);
union.update(sketch);
// another one, but different n to get a different per-item weight
sketch = VarOptItemsSketch.newInstance(kSmall);
for (int i = 0; i < n2; ++i) {
sketch.update(1.0 * i, 1.0);
}
union.update(sketch);
Files.newOutputStream(javaPath.resolve("varopt_union_double_sampling_java.sk"))
.write(union.toByteArray(new ArrayOfDoublesSerDe()));
}
}