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Posted to commits@ignite.apache.org by sb...@apache.org on 2017/04/19 14:47:24 UTC
[03/50] [abbrv] ignite git commit: IGNITE-5000 Rename Ignite Math
module to Ignite ML module added missed licenses renamed packages fixed wrong
ml profile activation
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/matrix/SparseDistributedMatrixStorageTest.java
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diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/matrix/SparseDistributedMatrixStorageTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/matrix/SparseDistributedMatrixStorageTest.java
new file mode 100644
index 0000000..7c2d415
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/matrix/SparseDistributedMatrixStorageTest.java
@@ -0,0 +1,126 @@
+/*
+ * 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.ignite.ml.math.impls.storage.matrix;
+
+import org.apache.ignite.Ignite;
+import org.apache.ignite.internal.util.IgniteUtils;
+import org.apache.ignite.ml.math.StorageConstants;
+import org.apache.ignite.ml.math.impls.MathTestConstants;
+import org.apache.ignite.testframework.junits.common.GridCommonAbstractTest;
+import org.apache.ignite.testframework.junits.common.GridCommonTest;
+
+/**
+ * Tests for {@link SparseDistributedMatrixStorage}.
+ */
+@GridCommonTest(group = "Distributed Models")
+public class SparseDistributedMatrixStorageTest extends GridCommonAbstractTest {
+ /** Number of nodes in grid */
+ private static final int NODE_COUNT = 3;
+ /** Cache name. */
+ private static final String CACHE_NAME = "test-cache";
+ /** */
+ private static final String UNEXPECTED_ATTRIBUTE_VALUE = "Unexpected attribute value.";
+ /** Grid instance. */
+ private Ignite ignite;
+
+ /**
+ * Default constructor.
+ */
+ public SparseDistributedMatrixStorageTest() {
+ super(false);
+ }
+
+ /** {@inheritDoc} */
+ @Override protected void beforeTestsStarted() throws Exception {
+ for (int i = 1; i <= NODE_COUNT; i++)
+ startGrid(i);
+ }
+
+ /** {@inheritDoc} */
+ @Override protected void afterTestsStopped() throws Exception {
+ stopAllGrids();
+ }
+
+ /**
+ * {@inheritDoc}
+ */
+ @Override protected void beforeTest() throws Exception {
+ ignite = grid(NODE_COUNT);
+
+ ignite.configuration().setPeerClassLoadingEnabled(true);
+ }
+
+ /** {@inheritDoc} */
+ @Override protected void afterTest() throws Exception {
+ ignite.destroyCache(CACHE_NAME);
+ }
+
+ /** */
+ public void testCacheCreation() throws Exception {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ final int rows = MathTestConstants.STORAGE_SIZE;
+ final int cols = MathTestConstants.STORAGE_SIZE;
+
+ SparseDistributedMatrixStorage storage = new SparseDistributedMatrixStorage(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
+
+ assertNotNull("SparseDistributedMatrixStorage cache is null.", storage.cache());
+ }
+
+ /** */
+ public void testSetGet() throws Exception {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ final int rows = MathTestConstants.STORAGE_SIZE;
+ final int cols = MathTestConstants.STORAGE_SIZE;
+
+ SparseDistributedMatrixStorage storage = new SparseDistributedMatrixStorage(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
+
+ for (int i = 0; i < rows; i++) {
+ for (int j = 0; j < cols; j++) {
+ double v = Math.random();
+ storage.set(i, j, v);
+
+ assert Double.compare(v, storage.get(i, j)) == 0;
+ assert Double.compare(v, storage.get(i, j)) == 0;
+ }
+ }
+ }
+
+ /** */
+ public void testAttributes() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ final int rows = MathTestConstants.STORAGE_SIZE;
+ final int cols = MathTestConstants.STORAGE_SIZE;
+
+ SparseDistributedMatrixStorage storage = new SparseDistributedMatrixStorage(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
+
+ assertEquals(UNEXPECTED_ATTRIBUTE_VALUE, storage.rowSize(), rows);
+ assertEquals(UNEXPECTED_ATTRIBUTE_VALUE, storage.columnSize(), cols);
+
+ assertFalse(UNEXPECTED_ATTRIBUTE_VALUE, storage.isArrayBased());
+ assertFalse(UNEXPECTED_ATTRIBUTE_VALUE, storage.isDense());
+ assertTrue(UNEXPECTED_ATTRIBUTE_VALUE, storage.isDistributed());
+
+ assertEquals(UNEXPECTED_ATTRIBUTE_VALUE, storage.isRandomAccess(), !storage.isSequentialAccess());
+ assertTrue(UNEXPECTED_ATTRIBUTE_VALUE, storage.isRandomAccess());
+
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/RandomAccessSparseVectorStorageTest.java
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diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/RandomAccessSparseVectorStorageTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/RandomAccessSparseVectorStorageTest.java
new file mode 100644
index 0000000..6578e14
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/RandomAccessSparseVectorStorageTest.java
@@ -0,0 +1,60 @@
+/*
+ * 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.ignite.ml.math.impls.storage.vector;
+
+import org.apache.ignite.ml.math.StorageConstants;
+import org.apache.ignite.ml.math.impls.MathTestConstants;
+import org.junit.Test;
+
+import static org.junit.Assert.assertFalse;
+import static org.junit.Assert.assertNull;
+
+/**
+ * Unit tests for {@link SparseLocalOnHeapVectorStorage}.
+ */
+public class RandomAccessSparseVectorStorageTest extends VectorBaseStorageTest<SparseLocalOnHeapVectorStorage> {
+ /** */
+ @Override public void setUp() {
+ storage = new SparseLocalOnHeapVectorStorage(MathTestConstants.STORAGE_SIZE, StorageConstants.RANDOM_ACCESS_MODE);
+ }
+
+ /** */
+ @Test
+ public void data() throws Exception {
+ assertNull(MathTestConstants.NULL_VAL, storage.data());
+ }
+
+ /** */
+ @Test
+ public void isSequentialAccess() throws Exception {
+ assertFalse(MathTestConstants.UNEXPECTED_VAL, storage.isSequentialAccess());
+ }
+
+ /** */
+ @Test
+ public void isDense() throws Exception {
+ assertFalse(MathTestConstants.UNEXPECTED_VAL, storage.isDense());
+ }
+
+ /** */
+ @Test
+ public void isArrayBased() throws Exception {
+ assertFalse(MathTestConstants.UNEXPECTED_VAL, storage.isArrayBased());
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/SparseLocalOffHeapVectorStorageTest.java
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diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/SparseLocalOffHeapVectorStorageTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/SparseLocalOffHeapVectorStorageTest.java
new file mode 100644
index 0000000..7e5fc48
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/SparseLocalOffHeapVectorStorageTest.java
@@ -0,0 +1,78 @@
+/*
+ * 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.ignite.ml.math.impls.storage.vector;
+
+import org.apache.ignite.ml.math.ExternalizeTest;
+import org.apache.ignite.ml.math.exceptions.UnsupportedOperationException;
+import org.junit.After;
+import org.junit.Before;
+import org.junit.Test;
+
+import static org.apache.ignite.ml.math.impls.MathTestConstants.STORAGE_SIZE;
+import static org.apache.ignite.ml.math.impls.MathTestConstants.UNEXPECTED_VAL;
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertFalse;
+import static org.junit.Assert.assertTrue;
+
+/**
+ * Tests for {@link SparseLocalOffHeapVectorStorage}.
+ */
+public class SparseLocalOffHeapVectorStorageTest extends ExternalizeTest<SparseLocalOffHeapVectorStorage> {
+ /** */ private SparseLocalOffHeapVectorStorage testVectorStorage;
+
+ /** */
+ @Before
+ public void setup() {
+ testVectorStorage = new SparseLocalOffHeapVectorStorage(STORAGE_SIZE);
+ }
+
+ /** */
+ @After
+ public void teardown() {
+ testVectorStorage.destroy();
+ testVectorStorage = null;
+ }
+
+ /** */
+ @Test
+ public void testBasic() {
+ for (int i = 0; i < STORAGE_SIZE; i++) {
+ double testVal = Math.random();
+ testVectorStorage.set(i, testVal);
+ assertEquals(UNEXPECTED_VAL, testVal, testVectorStorage.get(i), 0d);
+ }
+ }
+
+ /** {@inheritDoc} */
+ @Test(expected = UnsupportedOperationException.class)
+ @Override public void externalizeTest() {
+ super.externalizeTest(new SparseLocalOffHeapVectorStorage(STORAGE_SIZE));
+ }
+
+ /** */
+ @Test
+ public void testAttributes() {
+ SparseLocalOffHeapVectorStorage testVectorStorage = new SparseLocalOffHeapVectorStorage(STORAGE_SIZE);
+
+ assertTrue(UNEXPECTED_VAL, testVectorStorage.isRandomAccess());
+ assertFalse(UNEXPECTED_VAL, testVectorStorage.isSequentialAccess());
+ assertFalse(UNEXPECTED_VAL, testVectorStorage.isDense());
+ assertFalse(UNEXPECTED_VAL, testVectorStorage.isArrayBased());
+ assertFalse(UNEXPECTED_VAL, testVectorStorage.isDistributed());
+ }
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorArrayStorageTest.java
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diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorArrayStorageTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorArrayStorageTest.java
new file mode 100644
index 0000000..ce62b3e
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorArrayStorageTest.java
@@ -0,0 +1,58 @@
+/*
+ * 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.ignite.ml.math.impls.storage.vector;
+
+import java.util.Arrays;
+import org.apache.ignite.ml.math.impls.MathTestConstants;
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertNotNull;
+import static org.junit.Assert.assertNull;
+import static org.junit.Assert.assertTrue;
+
+/**
+ * Unit test for {@link ArrayVectorStorage}.
+ */
+public class VectorArrayStorageTest extends VectorBaseStorageTest<ArrayVectorStorage> {
+ /** */
+ @Override public void setUp() {
+ storage = new ArrayVectorStorage(MathTestConstants.STORAGE_SIZE);
+ }
+
+ /** */
+ @Test
+ public void isArrayBased() throws Exception {
+ assertTrue(MathTestConstants.WRONG_ATTRIBUTE_VAL, storage.isArrayBased());
+
+ assertTrue(MathTestConstants.WRONG_ATTRIBUTE_VAL, new ArrayVectorStorage().isArrayBased());
+ }
+
+ /** */
+ @Test
+ public void data() throws Exception {
+ assertNotNull(MathTestConstants.NULL_DATA_STORAGE, storage.data());
+
+ assertEquals(MathTestConstants.WRONG_DATA_SIZE, storage.data().length, MathTestConstants.STORAGE_SIZE);
+
+ assertTrue(MathTestConstants.UNEXPECTED_DATA_VAL, Arrays.equals(storage.data(), new double[MathTestConstants.STORAGE_SIZE]));
+
+ assertNull(MathTestConstants.UNEXPECTED_DATA_VAL, new ArrayVectorStorage().data());
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorBaseStorageTest.java
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diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorBaseStorageTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorBaseStorageTest.java
new file mode 100644
index 0000000..206fe85
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorBaseStorageTest.java
@@ -0,0 +1,69 @@
+/*
+ * 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.ignite.ml.math.impls.storage.vector;
+
+import org.apache.ignite.ml.math.ExternalizeTest;
+import org.apache.ignite.ml.math.VectorStorage;
+import org.apache.ignite.ml.math.impls.MathTestConstants;
+import org.junit.After;
+import org.junit.Before;
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertTrue;
+
+/**
+ * Abstract class with base tests for each vector storage.
+ */
+public abstract class VectorBaseStorageTest<T extends VectorStorage> extends ExternalizeTest<T> {
+ /** */
+ protected T storage;
+
+ /** */
+ @Before
+ public abstract void setUp();
+
+ /** */
+ @After
+ public void tearDown() throws Exception {
+ storage.destroy();
+ }
+
+ /** */
+ @Test
+ public void getSet() throws Exception {
+ for (int i = 0; i < MathTestConstants.STORAGE_SIZE; i++) {
+ double random = Math.random();
+
+ storage.set(i, random);
+
+ assertEquals(MathTestConstants.WRONG_DATA_ELEMENT, storage.get(i), random, MathTestConstants.NIL_DELTA);
+ }
+ }
+
+ /** */
+ @Test
+ public void size() {
+ assertTrue(MathTestConstants.UNEXPECTED_VAL, storage.size() == MathTestConstants.STORAGE_SIZE);
+ }
+
+ /** */
+ @Override public void externalizeTest() {
+ super.externalizeTest(storage);
+ }
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorOffheapStorageTest.java
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diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorOffheapStorageTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorOffheapStorageTest.java
new file mode 100644
index 0000000..6b719d0
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/VectorOffheapStorageTest.java
@@ -0,0 +1,73 @@
+/*
+ * 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.ignite.ml.math.impls.storage.vector;
+
+import org.apache.ignite.ml.math.impls.MathTestConstants;
+import org.junit.Before;
+import org.junit.Test;
+
+import static org.junit.Assert.assertFalse;
+import static org.junit.Assert.assertNull;
+import static org.junit.Assert.assertTrue;
+
+/**
+ * Unit tests for {@link DenseLocalOffHeapVectorStorage}.
+ */
+public class VectorOffheapStorageTest extends VectorBaseStorageTest<DenseLocalOffHeapVectorStorage> {
+ /** */
+ @Before
+ public void setUp() {
+ storage = new DenseLocalOffHeapVectorStorage(MathTestConstants.STORAGE_SIZE);
+ }
+
+ /** */
+ @Test
+ public void isArrayBased() throws Exception {
+ assertFalse(MathTestConstants.UNEXPECTED_VAL, storage.isArrayBased());
+ }
+
+ /** */
+ @Test
+ public void data() throws Exception {
+ assertNull(MathTestConstants.NULL_VAL, storage.data());
+ }
+
+ /** */
+ @Test
+ public void isSequentialAccess() throws Exception {
+ assertTrue(MathTestConstants.UNEXPECTED_VAL, storage.isSequentialAccess());
+ }
+
+ /** */
+ @Test
+ public void isDense() throws Exception {
+ assertTrue(MathTestConstants.UNEXPECTED_VAL, storage.isDense());
+ }
+
+ /** */
+ @Test
+ public void equalsTest() {
+ //noinspection EqualsWithItself
+ assertTrue(MathTestConstants.VAL_NOT_EQUALS, storage.equals(storage));
+
+ //noinspection EqualsBetweenInconvertibleTypes
+ assertFalse(MathTestConstants.VALUES_SHOULD_BE_NOT_EQUALS,
+ storage.equals(new ArrayVectorStorage(MathTestConstants.STORAGE_SIZE)));
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/AbstractVectorTest.java
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diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/AbstractVectorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/AbstractVectorTest.java
new file mode 100644
index 0000000..fa66769
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/AbstractVectorTest.java
@@ -0,0 +1,543 @@
+/*
+ * 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.ignite.ml.math.impls.vector;
+
+import java.util.Arrays;
+import java.util.stream.StreamSupport;
+import org.apache.ignite.ml.math.Matrix;
+import org.apache.ignite.ml.math.Vector;
+import org.apache.ignite.ml.math.VectorStorage;
+import org.apache.ignite.ml.math.exceptions.IndexException;
+import org.apache.ignite.ml.math.functions.Functions;
+import org.apache.ignite.ml.math.impls.MathTestConstants;
+import org.apache.ignite.ml.math.impls.storage.vector.ArrayVectorStorage;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertFalse;
+import static org.junit.Assert.assertNotNull;
+import static org.junit.Assert.assertTrue;
+
+/**
+ * Unit test for {@link AbstractVector}.
+ */
+public class AbstractVectorTest {
+ /** */
+ private AbstractVector testVector;
+
+ /** */
+ @Before
+ public void setUp() {
+ testVector = getAbstractVector();
+ }
+
+ /** */
+ @Test
+ public void setStorage() {
+ testVector.setStorage(createStorage());
+
+ assertTrue(testVector.size() == MathTestConstants.STORAGE_SIZE);
+ }
+
+ /** */
+ @Test
+ public void size() {
+ testVector.setStorage(createStorage());
+ assertTrue(testVector.size() == MathTestConstants.STORAGE_SIZE);
+
+ testVector.setStorage(new ArrayVectorStorage(MathTestConstants.STORAGE_SIZE + MathTestConstants.STORAGE_SIZE));
+ assertTrue(testVector.size() == MathTestConstants.STORAGE_SIZE + MathTestConstants.STORAGE_SIZE);
+
+ testVector = getAbstractVector(createStorage());
+ assertTrue(testVector.size() == MathTestConstants.STORAGE_SIZE);
+ }
+
+ /** */
+ @Test
+ public void getPositive() {
+ testVector = getAbstractVector(createStorage());
+
+ for (int i = 0; i < MathTestConstants.STORAGE_SIZE; i++)
+ assertNotNull(MathTestConstants.NULL_VALUES, testVector.get(i));
+
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void getNegative0() {
+ testVector.get(0);
+ }
+
+ /** */
+ @Test(expected = IndexException.class)
+ public void getNegative1() {
+ testVector.setStorage(createStorage());
+
+ testVector.get(-1);
+ }
+
+ /** */
+ @Test(expected = IndexException.class)
+ public void getNegative2() {
+ testVector.setStorage(createStorage());
+
+ testVector.get(testVector.size() + 1);
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void getXNegative0() {
+ testVector.getX(0);
+ }
+
+ /** */
+ @Test(expected = ArrayIndexOutOfBoundsException.class)
+ public void getXNegative1() {
+ testVector.setStorage(createStorage());
+
+ testVector.getX(-1);
+ }
+
+ /** */
+ @Test(expected = ArrayIndexOutOfBoundsException.class)
+ public void getXNegative2() {
+ testVector.setStorage(createStorage());
+
+ testVector.getX(MathTestConstants.STORAGE_SIZE + 1);
+ }
+
+ /** */
+ @Test
+ public void set() {
+ double[] data = initVector();
+
+ for (int i = 0; i < MathTestConstants.STORAGE_SIZE; i++)
+ testVector.set(i, Math.exp(data[i]));
+
+ for (int i = 0; i < MathTestConstants.STORAGE_SIZE; i++)
+ assertEquals(MathTestConstants.VAL_NOT_EQUALS, testVector.get(i), Math.exp(data[i]), MathTestConstants.NIL_DELTA);
+ }
+
+ /** */
+ @Test(expected = IndexException.class)
+ public void setNegative0() {
+ testVector.set(-1, -1);
+ }
+
+ /** */
+ @Test(expected = IndexException.class)
+ public void setNegative1() {
+ initVector();
+
+ testVector.set(-1, -1);
+ }
+
+ /** */
+ @Test(expected = IndexException.class)
+ public void setNegative2() {
+ initVector();
+
+ testVector.set(MathTestConstants.STORAGE_SIZE + 1, -1);
+ }
+
+ /** */
+ @Test(expected = IndexOutOfBoundsException.class)
+ public void setXNegative0() {
+ initVector();
+
+ testVector.setX(-1, -1);
+ }
+
+ /** */
+ @Test(expected = IndexOutOfBoundsException.class)
+ public void setXNegative1() {
+ initVector();
+
+ testVector.setX(MathTestConstants.STORAGE_SIZE + 1, -1);
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void setXNegative2() {
+ testVector.setX(-1, -1);
+ }
+
+ /** */
+ @Test
+ public void isZero() {
+ assertTrue(MathTestConstants.UNEXPECTED_VAL, testVector.isZero(0d));
+
+ assertFalse(MathTestConstants.UNEXPECTED_VAL, testVector.isZero(1d));
+ }
+
+ /** */
+ @Test
+ public void guid() {
+ assertNotNull(MathTestConstants.NULL_GUID, testVector.guid());
+
+ assertEquals(MathTestConstants.UNEXPECTED_GUID_VAL, testVector.guid(), testVector.guid());
+
+ assertFalse(MathTestConstants.EMPTY_GUID, testVector.guid().toString().isEmpty());
+
+ testVector = getAbstractVector(createStorage());
+
+ assertNotNull(MathTestConstants.NULL_GUID, testVector.guid());
+
+ assertEquals(MathTestConstants.UNEXPECTED_GUID_VAL, testVector.guid(), testVector.guid());
+
+ assertFalse(MathTestConstants.EMPTY_GUID, testVector.guid().toString().isEmpty());
+ }
+
+ /** */
+ @Test
+ public void equalsTest() {
+ VectorStorage storage = createStorage();
+
+ AbstractVector testVector1 = getAbstractVector();
+
+ testVector1.setStorage(storage);
+
+ AbstractVector testVector2 = getAbstractVector();
+
+ assertEquals(MathTestConstants.VAL_NOT_EQUALS, testVector, testVector);
+
+ testVector2.setStorage(storage);
+
+ assertTrue(MathTestConstants.VAL_NOT_EQUALS, testVector1.equals(testVector2));
+
+ assertFalse(MathTestConstants.VALUES_SHOULD_BE_NOT_EQUALS, testVector1.equals(testVector));
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void all() {
+ assertNotNull(MathTestConstants.NULL_VAL, testVector.all());
+
+ assertNotNull(MathTestConstants.NULL_VAL, getAbstractVector(createStorage()).all());
+
+ getAbstractVector().all().iterator().next();
+ }
+
+ /** */
+ @Test
+ public void nonZeroElements() {
+ VectorStorage storage = createStorage();
+
+ double[] data = storage.data();
+
+ testVector = getAbstractVector(storage);
+
+ assertEquals(MathTestConstants.VAL_NOT_EQUALS, testVector.nonZeroElements(), Arrays.stream(data).filter(x -> x != 0d).count());
+
+ addNilValues(data);
+
+ assertEquals(MathTestConstants.VAL_NOT_EQUALS, testVector.nonZeroElements(), Arrays.stream(data).filter(x -> x != 0d).count());
+ }
+
+ /** */
+ @Test
+ public void foldMapWithSecondVector() {
+ double[] data0 = initVector();
+
+ VectorStorage storage1 = createStorage();
+
+ double[] data1 = storage1.data().clone();
+
+ AbstractVector testVector1 = getAbstractVector(storage1);
+
+ String testVal = "";
+
+ for (int i = 0; i < data0.length; i++)
+ testVal += data0[i] + data1[i];
+
+ assertEquals(MathTestConstants.VAL_NOT_EQUALS, testVector.foldMap(testVector1, (string, xi) -> string.concat(xi.toString()), Functions.PLUS, ""), testVal);
+ }
+
+ /** */
+ @Test
+ public void nonZeroes() {
+ assertNotNull(MathTestConstants.NULL_VAL, testVector.nonZeroes());
+
+ double[] data = initVector();
+
+ assertNotNull(MathTestConstants.NULL_VAL, testVector.nonZeroes());
+
+ Assert.assertEquals(MathTestConstants.VAL_NOT_EQUALS, StreamSupport.stream(testVector.nonZeroes().spliterator(), false).count(), Arrays.stream(data).filter(x -> x != 0d).count());
+
+ addNilValues(data);
+
+ Assert.assertEquals(MathTestConstants.VAL_NOT_EQUALS, StreamSupport.stream(testVector.nonZeroes().spliterator(), false).count(), Arrays.stream(data).filter(x -> x != 0d).count());
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void nonZeroesEmpty() {
+ testVector.nonZeroes().iterator().next();
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void assign() {
+ testVector.assign(MathTestConstants.TEST_VAL);
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void assignArr() {
+ testVector.assign(new double[1]);
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void assignArrEmpty() {
+ testVector.assign(new double[0]);
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void dotNegative() {
+ testVector.dot(getAbstractVector(createEmptyStorage()));
+ }
+
+ /** */
+ @Test
+ public void dotSelf() {
+ double[] data = initVector();
+
+ assertEquals(MathTestConstants.VAL_NOT_EQUALS, testVector.dotSelf(), Arrays.stream(data).reduce(0, (x, y) -> x + y * y), MathTestConstants.NIL_DELTA);
+ }
+
+ /** */
+ @Test
+ public void getStorage() {
+ assertNotNull(MathTestConstants.NULL_VAL, getAbstractVector(createEmptyStorage()));
+ assertNotNull(MathTestConstants.NULL_VAL, getAbstractVector(createStorage()));
+ testVector.setStorage(createStorage());
+ assertNotNull(MathTestConstants.NULL_VAL, testVector.getStorage());
+ }
+
+ /** */
+ @Test
+ public void getElement() {
+ double[] data = initVector();
+
+ for (int i = 0; i < data.length; i++) {
+ assertNotNull(MathTestConstants.NULL_VAL, testVector.getElement(i));
+
+ assertEquals(MathTestConstants.UNEXPECTED_VAL, testVector.getElement(i).get(), data[i], MathTestConstants.NIL_DELTA);
+
+ testVector.getElement(i).set(++data[i]);
+
+ assertEquals(MathTestConstants.UNEXPECTED_VAL, testVector.getElement(i).get(), data[i], MathTestConstants.NIL_DELTA);
+ }
+ }
+
+ /**
+ * Create {@link AbstractVector} with storage for tests.
+ *
+ * @param storage {@link VectorStorage}
+ * @return AbstractVector.
+ */
+ private AbstractVector getAbstractVector(VectorStorage storage) {
+ return new AbstractVector(storage) { // TODO: find out how to fix warning about missing constructor
+ /** */
+ @Override public boolean isDense() {
+ return false;
+ }
+
+ /** */
+ @Override public boolean isSequentialAccess() {
+ return false;
+ }
+
+ /** */
+ @Override public Matrix likeMatrix(int rows, int cols) {
+ return null;
+ }
+
+ /** */
+ @Override public Vector copy() {
+ return getAbstractVector(this.getStorage());
+ }
+
+ /** */
+ @Override public Vector like(int crd) {
+ return null;
+ }
+
+ /** */
+ @Override public Vector normalize() {
+ return null;
+ }
+
+ /** */
+ @Override public Vector normalize(double power) {
+ return null;
+ }
+
+ /** */
+ @Override public Vector logNormalize() {
+ return null;
+ }
+
+ /** */
+ @Override public Vector logNormalize(double power) {
+ return null;
+ }
+
+ /** */
+ @Override public Vector viewPart(int off, int len) {
+ return null;
+ }
+
+ /** {@inheritDoc} */
+ @Override public boolean isRandomAccess() {
+ return true;
+ }
+
+ /** {@inheritDoc} */
+ @Override public boolean isDistributed() {
+ return false;
+ }
+ };
+ }
+
+ /**
+ * Create empty {@link AbstractVector} for tests.
+ *
+ * @return AbstractVector.
+ */
+ private AbstractVector getAbstractVector() {
+ return new AbstractVector() { // TODO: find out how to fix warning about missing constructor
+ /** */
+ @Override public boolean isDense() {
+ return false;
+ }
+
+ /** */
+ @Override public Matrix likeMatrix(int rows, int cols) {
+ return null;
+ }
+
+ /** */
+ @Override public boolean isSequentialAccess() {
+ return false;
+ }
+
+ /** */
+ @Override public Vector copy() {
+ return getAbstractVector(this.getStorage());
+ }
+
+ /** */
+ @Override public Vector like(int crd) {
+ return null;
+ }
+
+ /** */
+ @Override public Vector normalize() {
+ return null;
+ }
+
+ /** */
+ @Override public Vector normalize(double power) {
+ return null;
+ }
+
+ /** */
+ @Override public Vector logNormalize() {
+ return null;
+ }
+
+ /** */
+ @Override public Vector logNormalize(double power) {
+ return null;
+ }
+
+ /** */
+ @Override public Vector viewPart(int off, int len) {
+ return null;
+ }
+
+ /** {@inheritDoc} */
+ @Override public boolean isRandomAccess() {
+ return true;
+ }
+
+ /** {@inheritDoc} */
+ @Override public boolean isDistributed() {
+ return false;
+ }
+ };
+ }
+
+ /**
+ * Create {@link VectorStorage} for tests.
+ *
+ * @return VectorStorage
+ */
+ private VectorStorage createEmptyStorage() {
+ return new ArrayVectorStorage(MathTestConstants.STORAGE_SIZE);
+ }
+
+ /**
+ * Create filled {@link VectorStorage} for tests.
+ *
+ * @return VectorStorage.
+ */
+ private VectorStorage createStorage() {
+ ArrayVectorStorage storage = new ArrayVectorStorage(MathTestConstants.STORAGE_SIZE);
+
+ for (int i = 0; i < MathTestConstants.STORAGE_SIZE; i++)
+ storage.set(i, Math.random());
+
+ return storage;
+ }
+
+ /**
+ * Init vector and return initialized values.
+ *
+ * @return Initial values.
+ */
+ private double[] initVector() {
+ VectorStorage storage = createStorage();
+ double[] data = storage.data().clone();
+
+ testVector = getAbstractVector(storage);
+ return data;
+ }
+
+ /**
+ * Add some zeroes to vector elements.
+ */
+ private void addNilValues() {
+ testVector.set(10, 0);
+ testVector.set(50, 0);
+ }
+
+ /**
+ * Add some zeroes to vector elements. Also set zeroes to the same elements in reference array data
+ */
+ private void addNilValues(double[] testRef) {
+ addNilValues();
+ testRef[10] = 0;
+ testRef[50] = 0;
+ }
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/CacheVectorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/CacheVectorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/CacheVectorTest.java
new file mode 100644
index 0000000..0026e2b
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/CacheVectorTest.java
@@ -0,0 +1,434 @@
+/*
+ * 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.ignite.ml.math.impls.vector;
+
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.io.IOException;
+import java.io.ObjectInputStream;
+import java.io.ObjectOutputStream;
+import java.util.stream.IntStream;
+import junit.framework.TestCase;
+import org.apache.ignite.Ignite;
+import org.apache.ignite.IgniteCache;
+import org.apache.ignite.configuration.CacheConfiguration;
+import org.apache.ignite.internal.util.IgniteUtils;
+import org.apache.ignite.ml.math.IdentityValueMapper;
+import org.apache.ignite.ml.math.Vector;
+import org.apache.ignite.ml.math.VectorKeyMapper;
+import org.apache.ignite.ml.math.exceptions.UnsupportedOperationException;
+import org.apache.ignite.ml.math.functions.Functions;
+import org.apache.ignite.ml.math.impls.MathTestConstants;
+import org.apache.ignite.testframework.junits.common.GridCommonAbstractTest;
+import org.apache.ignite.testframework.junits.common.GridCommonTest;
+
+/**
+ * Tests for {@link CacheVector}.
+ */
+@GridCommonTest(group = "Distributed Models")
+public class CacheVectorTest extends GridCommonAbstractTest {
+ /** Number of nodes in grid */
+ private static final int NODE_COUNT = 3;
+ /** Cache name. */
+ private static final String CACHE_NAME = "test-cache";
+ /** Cache size. */
+ private static final int size = MathTestConstants.STORAGE_SIZE;
+ /** Grid instance. */
+ private Ignite ignite;
+ /** Default key mapper. */
+ private VectorKeyMapper<Integer> keyMapper = new TestKeyMapper();
+
+ /**
+ * Default constructor.
+ */
+ public CacheVectorTest() {
+ super(false);
+ }
+
+ /** {@inheritDoc} */
+ @Override protected void beforeTestsStarted() throws Exception {
+ for (int i = 1; i <= NODE_COUNT; i++)
+ startGrid(i);
+ }
+
+ /** {@inheritDoc} */
+ @Override protected void afterTestsStopped() throws Exception {
+ stopAllGrids();
+ }
+
+ /** {@inheritDoc} */
+ @Override protected void beforeTest() throws Exception {
+ ignite = grid(NODE_COUNT);
+
+ ignite.configuration().setPeerClassLoadingEnabled(true);
+ }
+
+ /** {@inheritDoc} */
+ @Override protected void afterTest() throws Exception {
+ ignite.destroyCache(CACHE_NAME);
+ }
+
+ /** */
+ public void testGetSet() throws Exception {
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ for (int i = 0; i < size; i++) {
+ double random = Math.random();
+ cacheVector.set(i, random);
+ assertEquals("Unexpected value.", random, cacheVector.get(i), 0d);
+ }
+ }
+
+ /** */
+ public void testMap() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ initVector(cacheVector);
+
+ cacheVector.map(value -> 110d);
+
+ for (int i = 0; i < size; i++)
+ assertEquals("Unexpected value.", cacheVector.get(i), 110d, 0d);
+ }
+
+ /** */
+ public void testMapBiFunc() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ initVector(cacheVector);
+
+ cacheVector.map(Functions.PLUS, 1d);
+
+ for (int i = 0; i < size; i++)
+ assertEquals("Unexpected value.", cacheVector.get(i), 1d, 0d);
+ }
+
+ /** */
+ public void testSum() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ initVector(cacheVector);
+
+ assertEquals("Unexpected value.", cacheVector.sum(), 0d, 0d);
+
+ cacheVector.assign(1d);
+
+ assertEquals("Unexpected value.", cacheVector.sum(), size, 0d);
+ }
+
+ /** */
+ public void testSumNegative() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ try {
+ double d = cacheVector.sum();
+ fail();
+ }
+ catch (NullPointerException e) {
+ // No-op.
+ }
+ }
+
+ /** */
+ public void testAssign() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ initVector(cacheVector);
+
+ cacheVector.assign(1d);
+
+ for (int i = 0; i < size; i++)
+ assertEquals("Unexpected value.", cacheVector.get(i), 1d, 0d);
+ }
+
+ /** */
+ public void testAssignRange() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ cacheVector.assign(IntStream.range(0, size).asDoubleStream().toArray());
+
+ for (int i = 0; i < size; i++)
+ assertEquals("Unexpected value.", cacheVector.get(i), i, 0d);
+ }
+
+ /** */
+ public void testAssignVector() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ Vector testVec = new DenseLocalOnHeapVector(IntStream.range(0, size).asDoubleStream().toArray());
+
+ cacheVector.assign(testVec);
+
+ for (int i = 0; i < size; i++)
+ assertEquals("Unexpected value.", cacheVector.get(i), testVec.get(i), 0d);
+ }
+
+ /** */
+ public void testAssignFunc() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ cacheVector.assign(idx -> idx);
+
+ for (int i = 0; i < size; i++)
+ assertEquals("Unexpected value.", cacheVector.get(i), i, 0d);
+ }
+
+ /** */
+ public void testPlus() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ initVector(cacheVector);
+
+ cacheVector.plus(1d);
+
+ for (int i = 0; i < size; i++)
+ assertEquals("Unexpected value.", cacheVector.get(i), 1d, 0d);
+ }
+
+ /** */
+ public void testPlusVec() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ Vector testVec = new DenseLocalOnHeapVector(IntStream.range(0, size).asDoubleStream().toArray());
+
+ try {
+ cacheVector.plus(testVec);
+ TestCase.fail();
+ }
+ catch (UnsupportedOperationException ignored) {
+
+ }
+ }
+
+ /** */
+ public void testDivide() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ final int size = MathTestConstants.STORAGE_SIZE;
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ initVector(cacheVector);
+ cacheVector.assign(1d);
+
+ cacheVector.divide(2d);
+
+ for (int i = 0; i < size; i++)
+ assertEquals("Unexpected value.", cacheVector.get(i), 1d / 2d, 0d);
+ }
+
+ /** */
+ public void testTimes() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ final int size = MathTestConstants.STORAGE_SIZE;
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ initVector(cacheVector);
+ cacheVector.assign(1d);
+
+ cacheVector.times(2d);
+
+ for (int i = 0; i < size; i++)
+ assertEquals("Unexpected value.", cacheVector.get(i), 2d, 0d);
+ }
+
+ /** */
+ public void testTimesVector() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ cacheVector.assign(1d);
+ Vector testVec = new DenseLocalOnHeapVector(IntStream.range(0, size).asDoubleStream().toArray());
+
+ try {
+ cacheVector.times(testVec);
+ TestCase.fail();
+ }
+ catch (UnsupportedOperationException ignored) {
+
+ }
+
+ }
+
+ /** */
+ public void testMin() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ Vector testVec = new DenseLocalOnHeapVector(IntStream.range(0, size).asDoubleStream().toArray());
+
+ cacheVector.assign(testVec);
+
+ assertEquals("Unexpected value.", cacheVector.minValue(), 0d, 0d);
+ }
+
+ /** */
+ public void testMax() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ Vector testVec = new DenseLocalOnHeapVector(IntStream.range(0, size).asDoubleStream().toArray());
+
+ cacheVector.assign(testVec);
+
+ assertEquals("Unexpected value.", cacheVector.maxValue(), testVec.get(size - 1), 0d);
+ }
+
+ /** */
+ public void testLike() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ try {
+ cacheVector.like(size);
+ TestCase.fail("Unsupported case");
+ }
+ catch (UnsupportedOperationException ignored) {
+
+ }
+ }
+
+ /** */
+ public void testLikeMatrix() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ try {
+ cacheVector.likeMatrix(size, size);
+ TestCase.fail("Unsupported case");
+ }
+ catch (UnsupportedOperationException ignored) {
+
+ }
+ }
+
+ /** */
+ public void testCopy() {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ try {
+ cacheVector.copy();
+ TestCase.fail("Unsupported case");
+ }
+ catch (UnsupportedOperationException ignored) {
+
+ }
+ }
+
+ /** */
+ public void testExternalize() throws IOException, ClassNotFoundException {
+ IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
+
+ IdentityValueMapper valMapper = new IdentityValueMapper();
+ CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
+
+ cacheVector.set(1, 1.0);
+
+ ByteArrayOutputStream byteArrOutputStream = new ByteArrayOutputStream();
+ ObjectOutputStream objOutputStream = new ObjectOutputStream(byteArrOutputStream);
+
+ objOutputStream.writeObject(cacheVector);
+
+ ByteArrayInputStream byteArrInputStream = new ByteArrayInputStream(byteArrOutputStream.toByteArray());
+ ObjectInputStream objInputStream = new ObjectInputStream(byteArrInputStream);
+
+ CacheVector objRestored = (CacheVector)objInputStream.readObject();
+
+ assertTrue(MathTestConstants.VAL_NOT_EQUALS, cacheVector.equals(objRestored));
+ assertEquals(MathTestConstants.VAL_NOT_EQUALS, objRestored.get(1), 1.0, 0.0);
+ }
+
+ /** */
+ private void initVector(CacheVector cacheVector) {
+ for (int i = 0; i < cacheVector.size(); i++)
+ cacheVector.set(i, 0d);
+ }
+
+ /** */
+ private IgniteCache<Integer, Double> getCache() {
+ assert ignite != null;
+
+ CacheConfiguration cfg = new CacheConfiguration();
+ cfg.setName(CACHE_NAME);
+
+ IgniteCache<Integer, Double> cache = ignite.getOrCreateCache(CACHE_NAME);
+
+ assert cache != null;
+ return cache;
+ }
+
+ /** */ private static class TestKeyMapper implements VectorKeyMapper<Integer> {
+ /** {@inheritDoc} */
+ @Override public Integer apply(int i) {
+ return i;
+ }
+
+ /** {@inheritDoc} */
+ @Override public boolean isValid(Integer i) {
+ return i < size;
+ }
+ }
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/ConstantVectorConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/ConstantVectorConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/ConstantVectorConstructorTest.java
new file mode 100644
index 0000000..c5c0bbd
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/ConstantVectorConstructorTest.java
@@ -0,0 +1,52 @@
+/*
+ * 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.ignite.ml.math.impls.vector;
+
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+
+/** */
+public class ConstantVectorConstructorTest {
+ /** */
+ private static final int IMPOSSIBLE_SIZE = -1;
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void negativeSizeTest() {
+ assertEquals("Negative size.", IMPOSSIBLE_SIZE,
+ new ConstantVector(-1, 1).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void zeroSizeTest() {
+ assertEquals("Zero size.", IMPOSSIBLE_SIZE,
+ new ConstantVector(0, 1).size());
+ }
+
+ /** */
+ @Test
+ public void primitiveTest() {
+ assertEquals("1 size.", 1,
+ new ConstantVector(1, 1).size());
+
+ assertEquals("2 size.", 2,
+ new ConstantVector(2, 1).size());
+ }
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DelegatingVectorConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DelegatingVectorConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DelegatingVectorConstructorTest.java
new file mode 100644
index 0000000..1a9884f
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DelegatingVectorConstructorTest.java
@@ -0,0 +1,62 @@
+/*
+ * 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.ignite.ml.math.impls.vector;
+
+import org.apache.ignite.ml.math.Vector;
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+
+/** */
+public class DelegatingVectorConstructorTest {
+ /** */
+ private static final int IMPOSSIBLE_SIZE = -1;
+
+ /** */
+ @Test
+ public void basicTest() {
+ final Vector parent = new DenseLocalOnHeapVector(new double[] {0, 1});
+
+ final Vector delegate = new DelegatingVector(parent);
+
+ final int size = parent.size();
+
+ assertEquals("Delegate size differs from expected.", size, delegate.size());
+
+ for (int idx = 0; idx < size; idx++)
+ assertDelegate(parent, delegate, idx);
+ }
+
+ /** */
+ private void assertDelegate(Vector parent, Vector delegate, int idx) {
+ assertValue(parent, delegate, idx);
+
+ parent.set(idx, parent.get(idx) + 1);
+
+ assertValue(parent, delegate, idx);
+
+ delegate.set(idx, delegate.get(idx) + 2);
+
+ assertValue(parent, delegate, idx);
+ }
+
+ /** */
+ private void assertValue(Vector parent, Vector delegate, int idx) {
+ assertEquals("Unexpected value at index " + idx, parent.get(idx), delegate.get(idx), 0d);
+ }
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DenseLocalOffHeapVectorConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DenseLocalOffHeapVectorConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DenseLocalOffHeapVectorConstructorTest.java
new file mode 100644
index 0000000..1a979bd
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DenseLocalOffHeapVectorConstructorTest.java
@@ -0,0 +1,59 @@
+/*
+ * 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.ignite.ml.math.impls.vector;
+
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+
+/** */
+public class DenseLocalOffHeapVectorConstructorTest {
+ /** */
+ private static final int IMPOSSIBLE_SIZE = -1;
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void negativeSizeTest() {
+ assertEquals("Negative size.", IMPOSSIBLE_SIZE,
+ new DenseLocalOffHeapVector(-1).size());
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void nullArrayTest() {
+ assertEquals("Null array.", IMPOSSIBLE_SIZE,
+ new DenseLocalOffHeapVector(null).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void zeroSizeTest() {
+ assertEquals("0 size.", IMPOSSIBLE_SIZE,
+ new DenseLocalOffHeapVector(new double[0]).size());
+ }
+
+ /** */
+ @Test
+ public void primitiveTest() {
+ assertEquals("1 size.", 1,
+ new DenseLocalOffHeapVector(new double[1]).size());
+
+ assertEquals("2 size.", 2,
+ new DenseLocalOffHeapVector(new double[2]).size());
+ }
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DenseLocalOnHeapVectorConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DenseLocalOnHeapVectorConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DenseLocalOnHeapVectorConstructorTest.java
new file mode 100644
index 0000000..df504f3
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/DenseLocalOnHeapVectorConstructorTest.java
@@ -0,0 +1,163 @@
+/*
+ * 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.ignite.ml.math.impls.vector;
+
+import java.util.HashMap;
+import java.util.Map;
+import org.apache.ignite.ml.math.exceptions.UnsupportedOperationException;
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+
+/** */
+public class DenseLocalOnHeapVectorConstructorTest {
+ /** */
+ private static final int IMPOSSIBLE_SIZE = -1;
+
+ /** */
+ @Test(expected = UnsupportedOperationException.class)
+ public void mapInvalidArgsTest() {
+ assertEquals("Expect exception due to invalid args.", IMPOSSIBLE_SIZE,
+ new DenseLocalOnHeapVector(new HashMap<String, Object>() {{
+ put("invalid", 99);
+ }}).size());
+ }
+
+ /** */
+ @Test(expected = UnsupportedOperationException.class)
+ public void mapMissingArgsTest() {
+ final Map<String, Object> test = new HashMap<String, Object>() {{
+ put("arr", new double[0]);
+ put("shallowCopyMissing", "whatever");
+ }};
+
+ assertEquals("Expect exception due to missing args.", IMPOSSIBLE_SIZE,
+ new DenseLocalOnHeapVector(test).size());
+ }
+
+ /** */
+ @Test(expected = ClassCastException.class)
+ public void mapInvalidArrTypeTest() {
+ final Map<String, Object> test = new HashMap<String, Object>() {{
+ put("size", "whatever");
+ }};
+
+ assertEquals("Expect exception due to invalid arr type.", IMPOSSIBLE_SIZE,
+ new DenseLocalOnHeapVector(test).size());
+ }
+
+ /** */
+ @Test(expected = UnsupportedOperationException.class)
+ public void mapInvalidCopyTypeTest() {
+ final Map<String, Object> test = new HashMap<String, Object>() {{
+ put("arr", new double[0]);
+ put("shallowCopy", 0);
+ }};
+
+ assertEquals("Expect exception due to invalid copy type.", IMPOSSIBLE_SIZE,
+ new DenseLocalOnHeapVector(test).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void mapNullTest() {
+ //noinspection ConstantConditions
+ assertEquals("Null map args.", IMPOSSIBLE_SIZE,
+ new DenseLocalOnHeapVector((Map<String, Object>)null).size());
+ }
+
+ /** */
+ @Test
+ public void mapTest() {
+ assertEquals("Size from args.", 99,
+ new DenseLocalOnHeapVector(new HashMap<String, Object>() {{
+ put("size", 99);
+ }}).size());
+
+ final double[] test = new double[99];
+
+ assertEquals("Size from array in args.", test.length,
+ new DenseLocalOnHeapVector(new HashMap<String, Object>() {{
+ put("arr", test);
+ put("copy", false);
+ }}).size());
+
+ assertEquals("Size from array in args, shallow copy.", test.length,
+ new DenseLocalOnHeapVector(new HashMap<String, Object>() {{
+ put("arr", test);
+ put("copy", true);
+ }}).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void negativeSizeTest() {
+ assertEquals("Negative size.", IMPOSSIBLE_SIZE,
+ new DenseLocalOnHeapVector(-1).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void nullCopyTest() {
+ assertEquals("Null array to non-shallow copy.", IMPOSSIBLE_SIZE,
+ new DenseLocalOnHeapVector(null, false).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void nullDefaultCopyTest() {
+ assertEquals("Null array default copy.", IMPOSSIBLE_SIZE,
+ new DenseLocalOnHeapVector((double[])null).size());
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void defaultConstructorTest() {
+ assertEquals("Default constructor.", IMPOSSIBLE_SIZE,
+ new DenseLocalOnHeapVector().size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void nullArrShallowCopyTest() {
+ assertEquals("Null array shallow copy.", IMPOSSIBLE_SIZE,
+ new DenseLocalOnHeapVector(null, true).size());
+ }
+
+ /** */
+ @Test
+ public void primitiveTest() {
+ assertEquals("0 size shallow copy.", 0,
+ new DenseLocalOnHeapVector(new double[0], true).size());
+
+ assertEquals("0 size.", 0,
+ new DenseLocalOnHeapVector(new double[0], false).size());
+
+ assertEquals("1 size shallow copy.", 1,
+ new DenseLocalOnHeapVector(new double[1], true).size());
+
+ assertEquals("1 size.", 1,
+ new DenseLocalOnHeapVector(new double[1], false).size());
+
+ assertEquals("0 size default copy.", 0,
+ new DenseLocalOnHeapVector(new double[0]).size());
+
+ assertEquals("1 size default copy.", 1,
+ new DenseLocalOnHeapVector(new double[1]).size());
+ }
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/FunctionVectorConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/FunctionVectorConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/FunctionVectorConstructorTest.java
new file mode 100644
index 0000000..1e99f7e
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/FunctionVectorConstructorTest.java
@@ -0,0 +1,121 @@
+/*
+ * 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.ignite.ml.math.impls.vector;
+
+import java.util.HashMap;
+import java.util.Map;
+import java.util.function.IntToDoubleFunction;
+import org.apache.ignite.ml.math.exceptions.UnsupportedOperationException;
+import org.apache.ignite.ml.math.functions.IgniteFunction;
+import org.apache.ignite.ml.math.functions.IntDoubleToVoidFunction;
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+
+/** */
+public class FunctionVectorConstructorTest {
+ /** */
+ private static final int IMPOSSIBLE_SIZE = -1;
+
+ /** */
+ @Test(expected = UnsupportedOperationException.class)
+ public void mapInvalidArgsTest() {
+ assertEquals("Expect exception due to invalid args.", IMPOSSIBLE_SIZE,
+ new FunctionVector(new HashMap<String, Object>() {{
+ put("invalid", 99);
+ }}).size());
+ }
+
+ /** */
+ @Test(expected = UnsupportedOperationException.class)
+ public void mapMissingArgsTest() {
+ final Map<String, Object> test = new HashMap<String, Object>() {{
+ put("size", 1);
+ put("paramMissing", "whatever");
+ }};
+
+ assertEquals("Expect exception due to missing args.",
+ -1, new FunctionVector(test).size());
+ }
+
+ /** */
+ @Test(expected = ClassCastException.class)
+ public void mapInvalidParamTypeTest() {
+ final Map<String, Object> test = new HashMap<String, Object>() {{
+ put("size", "whatever");
+
+ put("getFunc", (IntToDoubleFunction)i -> i);
+ }};
+
+ assertEquals("Expect exception due to invalid param type.", IMPOSSIBLE_SIZE,
+ new FunctionVector(test).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void mapNullTest() {
+ //noinspection ConstantConditions
+ assertEquals("Null map args.", IMPOSSIBLE_SIZE,
+ new FunctionVector(null).size());
+ }
+
+ /** */
+ @Test
+ public void mapTest() {
+ assertEquals("Size from args.", 99,
+ new FunctionVector(new HashMap<String, Object>() {{
+ put("size", 99);
+
+ put("getFunc", (IgniteFunction<Integer, Double>)i -> (double)i);
+ }}).size());
+
+ assertEquals("Size from args with setFunc.", 99,
+ new FunctionVector(new HashMap<String, Object>() {{
+ put("size", 99);
+
+ put("getFunc", (IgniteFunction<Integer, Double>)i -> (double)i);
+
+ put("setFunc", (IntDoubleToVoidFunction)(integer, aDouble) -> {
+ });
+ }}).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void negativeSizeTest() {
+ assertEquals("Negative size.", IMPOSSIBLE_SIZE,
+ new FunctionVector(-1, (i) -> (double)i).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void zeroSizeTest() {
+ assertEquals("0 size.", IMPOSSIBLE_SIZE,
+ new FunctionVector(0, (i) -> (double)i).size());
+ }
+
+ /** */
+ @Test
+ public void primitiveTest() {
+ assertEquals("1 size.", 1,
+ new FunctionVector(1, (i) -> (double)i).size());
+
+ assertEquals("2 size.", 2,
+ new FunctionVector(2, (i) -> (double)i).size());
+ }
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/MatrixVectorViewTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/MatrixVectorViewTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/MatrixVectorViewTest.java
new file mode 100644
index 0000000..c861a0e
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/MatrixVectorViewTest.java
@@ -0,0 +1,226 @@
+/*
+ * 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.ignite.ml.math.impls.vector;
+
+import org.apache.ignite.ml.math.Matrix;
+import org.apache.ignite.ml.math.Vector;
+import org.apache.ignite.ml.math.exceptions.IndexException;
+import org.apache.ignite.ml.math.impls.matrix.DenseLocalOnHeapMatrix;
+import org.junit.Before;
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertTrue;
+
+/**
+ * Tests for {@link MatrixVectorView}.
+ */
+public class MatrixVectorViewTest {
+ /** */
+ private static final String UNEXPECTED_VALUE = "Unexpected value";
+ /** */
+ private static final int SMALL_SIZE = 3;
+ /** */
+ private static final int IMPOSSIBLE_SIZE = -1;
+
+ /** */
+ private Matrix parent;
+
+ /** */
+ @Before
+ public void setup() {
+ parent = newMatrix(SMALL_SIZE, SMALL_SIZE);
+ }
+
+ /** */
+ @Test
+ public void testDiagonal() {
+ Vector vector = parent.viewDiagonal();
+
+ for (int i = 0; i < SMALL_SIZE; i++)
+ assertView(i, i, vector, i);
+ }
+
+ /** */
+ @Test
+ public void testRow() {
+ for (int i = 0; i < SMALL_SIZE; i++) {
+ Vector viewRow = parent.viewRow(i);
+
+ for (int j = 0; j < SMALL_SIZE; j++)
+ assertView(i, j, viewRow, j);
+ }
+ }
+
+ /** */
+ @Test
+ public void testCols() {
+ for (int i = 0; i < SMALL_SIZE; i++) {
+ Vector viewCol = parent.viewColumn(i);
+
+ for (int j = 0; j < SMALL_SIZE; j++)
+ assertView(j, i, viewCol, j);
+ }
+ }
+
+ /** */
+ @Test
+ public void basicTest() {
+ for (int rowSize : new int[] {1, 2, 3, 4})
+ for (int colSize : new int[] {1, 2, 3, 4})
+ for (int row = 0; row < rowSize; row++)
+ for (int col = 0; col < colSize; col++)
+ for (int rowStride = 0; rowStride < rowSize; rowStride++)
+ for (int colStride = 0; colStride < colSize; colStride++)
+ if (rowStride != 0 || colStride != 0)
+ assertMatrixVectorView(newMatrix(rowSize, colSize), row, col, rowStride, colStride);
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void parentNullTest() {
+ //noinspection ConstantConditions
+ assertEquals(IMPOSSIBLE_SIZE,
+ new MatrixVectorView(null, 1, 1, 1, 1).size());
+ }
+
+ /** */
+ @Test(expected = IndexException.class)
+ public void rowNegativeTest() {
+ //noinspection ConstantConditions
+ assertEquals(IMPOSSIBLE_SIZE,
+ new MatrixVectorView(parent, -1, 1, 1, 1).size());
+ }
+
+ /** */
+ @Test(expected = IndexException.class)
+ public void colNegativeTest() {
+ //noinspection ConstantConditions
+ assertEquals(IMPOSSIBLE_SIZE,
+ new MatrixVectorView(parent, 1, -1, 1, 1).size());
+ }
+
+ /** */
+ @Test(expected = IndexException.class)
+ public void rowTooLargeTest() {
+ //noinspection ConstantConditions
+ assertEquals(IMPOSSIBLE_SIZE,
+ new MatrixVectorView(parent, parent.rowSize() + 1, 1, 1, 1).size());
+ }
+
+ /** */
+ @Test(expected = IndexException.class)
+ public void colTooLargeTest() {
+ //noinspection ConstantConditions
+ assertEquals(IMPOSSIBLE_SIZE,
+ new MatrixVectorView(parent, 1, parent.columnSize() + 1, 1, 1).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void rowStrideNegativeTest() {
+ //noinspection ConstantConditions
+ assertEquals(IMPOSSIBLE_SIZE,
+ new MatrixVectorView(parent, 1, 1, -1, 1).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void colStrideNegativeTest() {
+ //noinspection ConstantConditions
+ assertEquals(IMPOSSIBLE_SIZE,
+ new MatrixVectorView(parent, 1, 1, 1, -1).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void rowStrideTooLargeTest() {
+ //noinspection ConstantConditions
+ assertEquals(IMPOSSIBLE_SIZE,
+ new MatrixVectorView(parent, 1, 1, parent.rowSize() + 1, 1).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void colStrideTooLargeTest() {
+ //noinspection ConstantConditions
+ assertEquals(IMPOSSIBLE_SIZE,
+ new MatrixVectorView(parent, 1, 1, 1, parent.columnSize() + 1).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void bothStridesZeroTest() {
+ //noinspection ConstantConditions
+ assertEquals(IMPOSSIBLE_SIZE,
+ new MatrixVectorView(parent, 1, 1, 0, 0).size());
+ }
+
+ /** */
+ private void assertMatrixVectorView(Matrix parent, int row, int col, int rowStride, int colStride) {
+ MatrixVectorView view = new MatrixVectorView(parent, row, col, rowStride, colStride);
+
+ String desc = "parent [" + parent.rowSize() + "x" + parent.columnSize() + "], view ["
+ + row + "x" + col + "], strides [" + rowStride + ", " + colStride + "]";
+
+ final int size = view.size();
+
+ final int sizeByRows = rowStride == 0 ? IMPOSSIBLE_SIZE : (parent.rowSize() - row) / rowStride;
+ final int sizeByCols = colStride == 0 ? IMPOSSIBLE_SIZE : (parent.columnSize() - col) / colStride;
+
+ assertTrue("Size " + size + " differs from expected for " + desc,
+ size == sizeByRows || size == sizeByCols);
+
+ for (int idx = 0; idx < size; idx++) {
+ final int rowIdx = row + idx * rowStride;
+ final int colIdx = col + idx * colStride;
+
+ assertEquals(UNEXPECTED_VALUE + " at view index " + idx + desc,
+ parent.get(rowIdx, colIdx), view.get(idx), 0d);
+ }
+ }
+
+ /** */
+ private Matrix newMatrix(int rowSize, int colSize) {
+ Matrix res = new DenseLocalOnHeapMatrix(rowSize, colSize);
+
+ for (int i = 0; i < res.rowSize(); i++)
+ for (int j = 0; j < res.columnSize(); j++)
+ res.set(i, j, i * res.rowSize() + j);
+
+ return res;
+ }
+
+ /** */
+ private void assertView(int row, int col, Vector view, int viewIdx) {
+ assertValue(row, col, view, viewIdx);
+
+ parent.set(row, col, parent.get(row, col) + 1);
+
+ assertValue(row, col, view, viewIdx);
+
+ view.set(viewIdx, view.get(viewIdx) + 2);
+
+ assertValue(row, col, view, viewIdx);
+ }
+
+ /** */
+ private void assertValue(int row, int col, Vector view, int viewIdx) {
+ assertEquals(UNEXPECTED_VALUE + " at row " + row + " col " + col, parent.get(row, col), view.get(viewIdx), 0d);
+ }
+}
http://git-wip-us.apache.org/repos/asf/ignite/blob/d78e071a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/PivotedVectorViewConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/PivotedVectorViewConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/PivotedVectorViewConstructorTest.java
new file mode 100644
index 0000000..72be324
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/PivotedVectorViewConstructorTest.java
@@ -0,0 +1,211 @@
+/*
+ * 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.ignite.ml.math.impls.vector;
+
+import org.apache.ignite.ml.math.Vector;
+import org.apache.ignite.ml.math.exceptions.CardinalityException;
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertSame;
+import static org.junit.Assert.assertTrue;
+
+/** */
+public class PivotedVectorViewConstructorTest {
+ /** */
+ private static final int IMPOSSIBLE_SIZE = -1;
+
+ /** */
+ private static final SampleParams sampleParams = new SampleParams();
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void nullVecParamTest() {
+ assertEquals("Expect exception due to null vector param.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(null, sampleParams.pivot).size());
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void nullVecParam2Test() {
+ assertEquals("Expect exception due to null vector param, with unpivot.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(null, sampleParams.pivot, sampleParams.unpivot).size());
+ }
+
+ /** */
+ @Test(expected = NullPointerException.class)
+ public void nullPivotParamTest() {
+ assertEquals("Expect exception due to null pivot param.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(sampleParams.vec, null).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void nullPivotParam2Test() {
+ assertEquals("Expect exception due to null pivot param, with unpivot.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(sampleParams.vec, null, sampleParams.unpivot).size());
+ }
+
+ /** */
+ @Test(expected = AssertionError.class)
+ public void nullUnpivotParam2Test() {
+ assertEquals("Expect exception due to null unpivot param.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(sampleParams.vec, sampleParams.pivot, null).size());
+ }
+
+ /** */
+ @Test(expected = CardinalityException.class)
+ public void emptyPivotTest() {
+ assertEquals("Expect exception due to empty pivot param.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(sampleParams.vec, new int[] {}).size());
+ }
+
+ /** */
+ @Test(expected = CardinalityException.class)
+ public void emptyPivot2Test() {
+ assertEquals("Expect exception due to empty pivot param, with unpivot.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(sampleParams.vec, new int[] {}, sampleParams.unpivot).size());
+ }
+
+ /** */
+ @Test(expected = CardinalityException.class)
+ public void wrongPivotTest() {
+ assertEquals("Expect exception due to wrong pivot param.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(sampleParams.vec, new int[] {0}).size());
+ }
+
+ /** */
+ @Test(expected = CardinalityException.class)
+ public void wrongPivot2Test() {
+ assertEquals("Expect exception due to wrong pivot param, with unpivot.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(sampleParams.vec, new int[] {0}, sampleParams.unpivot).size());
+ }
+
+ /** */
+ @Test(expected = CardinalityException.class)
+ public void emptyUnpivotTest() {
+ assertEquals("Expect exception due to empty unpivot param.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(sampleParams.vec, sampleParams.pivot, new int[] {}).size());
+ }
+
+ /** */
+ @Test(expected = CardinalityException.class)
+ public void wrongUnpivotTest() {
+ assertEquals("Expect exception due to wrong unpivot param, with unpivot.", IMPOSSIBLE_SIZE,
+ new PivotedVectorView(sampleParams.vec, sampleParams.pivot, new int[] {0}).size());
+ }
+
+ /** */
+ @Test
+ public void basicPivotTest() {
+ final PivotedVectorView pvv = new PivotedVectorView(sampleParams.vec, sampleParams.pivot);
+
+ final int size = sampleParams.vec.size();
+
+ assertEquals("View size differs from expected.", size, pvv.size());
+
+ assertSame("Base vector differs from expected.", sampleParams.vec, pvv.getBaseVector());
+
+ for (int idx = 0; idx < size; idx++) {
+ assertEquals("Sample pivot and unpivot differ from expected",
+ idx, sampleParams.unpivot[sampleParams.pivot[idx]]);
+
+ assertEquals("Pivot differs from expected at index " + idx,
+ sampleParams.pivot[idx], pvv.pivot(idx));
+
+ assertEquals("Default unpivot differs from expected at index " + idx,
+ sampleParams.unpivot[idx], pvv.unpivot(idx));
+
+ final Metric metric = new Metric(sampleParams.vec.get(idx), pvv.get(pvv.pivot(idx)));
+
+ assertTrue("Not close enough at index " + idx + ", " + metric, metric.closeEnough());
+ }
+
+ for (int idx = 0; idx < size; idx++) {
+ sampleParams.vec.set(idx, sampleParams.vec.get(idx) + idx + 1);
+
+ final Metric metric = new Metric(sampleParams.vec.get(idx), pvv.get(pvv.pivot(idx)));
+
+ assertTrue("Modified value not close enough at index " + idx + ", " + metric, metric.closeEnough());
+ }
+ }
+
+ /** */
+ @Test
+ public void basicUnpivotTest() {
+ final PivotedVectorView pvv = new PivotedVectorView(sampleParams.vec, sampleParams.pivot, sampleParams.unpivot);
+
+ final int size = sampleParams.vec.size();
+
+ assertEquals("View size differs from expected.", size, pvv.size());
+
+ for (int idx = 0; idx < size; idx++) {
+ assertEquals("Unpivot differs from expected at index " + idx,
+ sampleParams.unpivot[idx], pvv.unpivot(idx));
+
+ final Metric metric = new Metric(sampleParams.vec.get(idx), pvv.get(pvv.unpivot(idx)));
+
+ assertTrue("Not close enough at index " + idx + ", " + metric, metric.closeEnough());
+ }
+ }
+
+ /** */
+ private static class SampleParams {
+ /** */
+ final double[] data = new double[] {0, 1};
+ /** */
+ final Vector vec = new DenseLocalOnHeapVector(data);
+ /** */
+ final int[] pivot = new int[] {1, 0};
+ /** */
+ final int[] unpivot = new int[] {1, 0};
+ }
+
+ /** */
+ private static class Metric { // todo consider if softer tolerance (like say 0.1 or 0.01) would make sense here
+ /** */
+ private final double exp;
+
+ /** */
+ private final double obtained;
+
+ /** **/
+ Metric(double exp, double obtained) {
+ this.exp = exp;
+ this.obtained = obtained;
+ }
+
+ /** */
+ boolean closeEnough() {
+ return new Double(exp).equals(obtained) || closeEnoughToZero();
+ }
+
+ /** {@inheritDoc} */
+ @Override public String toString() {
+ return "Metric{" + "expected=" + exp +
+ ", obtained=" + obtained +
+ '}';
+ }
+
+ /** */
+ private boolean closeEnoughToZero() {
+ return (new Double(exp).equals(0.0) && new Double(obtained).equals(-0.0))
+ || (new Double(exp).equals(-0.0) && new Double(obtained).equals(0.0));
+ }
+ }
+}