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Posted to commits@ignite.apache.org by ch...@apache.org on 2018/05/16 12:36:58 UTC

[2/9] ignite git commit: IGNITE-8450: [ML] Cleanup the ML package: remove unused vector/matrix classes.

http://git-wip-us.apache.org/repos/asf/ignite/blob/9dccb3db/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/matrix/SparseDistributedMatrixTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/matrix/SparseDistributedMatrixTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/matrix/SparseDistributedMatrixTest.java
deleted file mode 100644
index 65f3453..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/matrix/SparseDistributedMatrixTest.java
+++ /dev/null
@@ -1,316 +0,0 @@
-/*
- * 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.matrix;
-
-import java.io.ByteArrayInputStream;
-import java.io.ByteArrayOutputStream;
-import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
-import java.util.Collection;
-import java.util.Map;
-import java.util.Set;
-import org.apache.ignite.Ignite;
-import org.apache.ignite.IgniteCache;
-import org.apache.ignite.internal.util.IgniteUtils;
-import org.apache.ignite.ml.math.Matrix;
-import org.apache.ignite.ml.math.StorageConstants;
-import org.apache.ignite.ml.math.Vector;
-import org.apache.ignite.ml.math.distributed.DistributedStorage;
-import org.apache.ignite.ml.math.distributed.keys.RowColMatrixKey;
-import org.apache.ignite.ml.math.impls.MathTestConstants;
-import org.apache.ignite.ml.math.impls.storage.matrix.SparseDistributedMatrixStorage;
-import org.apache.ignite.ml.math.impls.vector.SparseDistributedVector;
-import org.apache.ignite.testframework.junits.common.GridCommonAbstractTest;
-import org.apache.ignite.testframework.junits.common.GridCommonTest;
-
-import static org.apache.ignite.ml.math.impls.MathTestConstants.UNEXPECTED_VAL;
-
-/**
- * Tests for {@link SparseDistributedMatrix}.
- */
-@GridCommonTest(group = "Distributed Models")
-public class SparseDistributedMatrixTest extends GridCommonAbstractTest {
-    /** Number of nodes in grid */
-    private static final int NODE_COUNT = 3;
-
-    /** Precision. */
-    private static final double PRECISION = 0.0;
-
-    /** */
-    private static final int MATRIX_SIZE = 10;
-
-    /** Grid instance. */
-    private Ignite ignite;
-
-    /** Matrix rows */
-    private final int rows = MathTestConstants.STORAGE_SIZE;
-
-    /** Matrix cols */
-    private final int cols = MathTestConstants.STORAGE_SIZE;
-
-    /** Matrix for tests */
-    private SparseDistributedMatrix cacheMatrix;
-
-    /**
-     * Default constructor.
-     */
-    public SparseDistributedMatrixTest() {
-        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 {
-        if (cacheMatrix != null) {
-            cacheMatrix.destroy();
-            cacheMatrix = null;
-        }
-    }
-
-    /** */
-    public void testGetSet() throws Exception {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        cacheMatrix = new SparseDistributedMatrix(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();
-                cacheMatrix.set(i, j, v);
-
-                assertEquals("Unexpected value for matrix element[" + i + " " + j + "]", v, cacheMatrix.get(i, j), PRECISION);
-            }
-        }
-    }
-
-    /** */
-    public void testExternalize() throws IOException, ClassNotFoundException {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        cacheMatrix = new SparseDistributedMatrix(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-
-        cacheMatrix.set(1, 1, 1.0);
-
-        ByteArrayOutputStream byteArrOutputStream = new ByteArrayOutputStream();
-        ObjectOutputStream objOutputStream = new ObjectOutputStream(byteArrOutputStream);
-
-        objOutputStream.writeObject(cacheMatrix);
-
-        ByteArrayInputStream byteArrInputStream = new ByteArrayInputStream(byteArrOutputStream.toByteArray());
-        ObjectInputStream objInputStream = new ObjectInputStream(byteArrInputStream);
-
-        SparseDistributedMatrix objRestored = (SparseDistributedMatrix)objInputStream.readObject();
-
-        assertTrue(MathTestConstants.VAL_NOT_EQUALS, cacheMatrix.equals(objRestored));
-        assertEquals(MathTestConstants.VAL_NOT_EQUALS, objRestored.get(1, 1), 1.0, PRECISION);
-    }
-
-    /** Test simple math. */
-    public void testMath() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        cacheMatrix = new SparseDistributedMatrix(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-        initMtx(cacheMatrix);
-
-        cacheMatrix.assign(2.0);
-        for (int i = 0; i < cacheMatrix.rowSize(); i++)
-            for (int j = 0; j < cacheMatrix.columnSize(); j++)
-                assertEquals(UNEXPECTED_VAL, 2.0, cacheMatrix.get(i, j), PRECISION);
-
-        cacheMatrix.plus(3.0);
-        for (int i = 0; i < cacheMatrix.rowSize(); i++)
-            for (int j = 0; j < cacheMatrix.columnSize(); j++)
-                assertEquals(UNEXPECTED_VAL, 5.0, cacheMatrix.get(i, j), PRECISION);
-
-        cacheMatrix.times(2.0);
-        for (int i = 0; i < cacheMatrix.rowSize(); i++)
-            for (int j = 0; j < cacheMatrix.columnSize(); j++)
-                assertEquals(UNEXPECTED_VAL, 10.0, cacheMatrix.get(i, j), PRECISION);
-
-        cacheMatrix.divide(10.0);
-        for (int i = 0; i < cacheMatrix.rowSize(); i++)
-            for (int j = 0; j < cacheMatrix.columnSize(); j++)
-                assertEquals(UNEXPECTED_VAL, 1.0, cacheMatrix.get(i, j), PRECISION);
-
-        assertEquals(UNEXPECTED_VAL, cacheMatrix.rowSize() * cacheMatrix.columnSize(), cacheMatrix.sum(), PRECISION);
-    }
-
-    /**
-     * TODO: IGNITE-5102, wrong min/max, wait for fold/map fix
-     */
-    public void testMinMax() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        cacheMatrix = new SparseDistributedMatrix(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-
-        for (int i = 0; i < cacheMatrix.rowSize(); i++)
-            for (int j = 0; j < cacheMatrix.columnSize(); j++)
-                cacheMatrix.set(i, j, i * cols + j + 1);
-
-        assertEquals(UNEXPECTED_VAL, 1.0, cacheMatrix.minValue(), PRECISION);
-        assertEquals(UNEXPECTED_VAL, rows * cols, cacheMatrix.maxValue(), PRECISION);
-
-        for (int i = 0; i < cacheMatrix.rowSize(); i++)
-            for (int j = 0; j < cacheMatrix.columnSize(); j++)
-                cacheMatrix.set(i, j, -1.0 * (i * cols + j + 1));
-
-        assertEquals(UNEXPECTED_VAL, -rows * cols, cacheMatrix.minValue(), PRECISION);
-        assertEquals(UNEXPECTED_VAL, -1.0, cacheMatrix.maxValue(), PRECISION);
-
-        for (int i = 0; i < cacheMatrix.rowSize(); i++)
-            for (int j = 0; j < cacheMatrix.columnSize(); j++)
-                cacheMatrix.set(i, j, i * cols + j);
-
-        assertEquals(UNEXPECTED_VAL, 1.0, cacheMatrix.minValue(), PRECISION);
-        assertEquals(UNEXPECTED_VAL, rows * cols - 1.0, cacheMatrix.maxValue(), PRECISION);
-    }
-
-    /** */
-    public void testMap() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        cacheMatrix = new SparseDistributedMatrix(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-        initMtx(cacheMatrix);
-
-        cacheMatrix.map(i -> 100.0);
-        for (int i = 0; i < cacheMatrix.rowSize(); i++)
-            for (int j = 0; j < cacheMatrix.columnSize(); j++)
-                assertEquals(UNEXPECTED_VAL, 100.0, cacheMatrix.get(i, j), PRECISION);
-    }
-
-    /** */
-    public void testCopy() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        cacheMatrix = new SparseDistributedMatrix(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-
-        Matrix copiedMtx = cacheMatrix.copy();
-
-        for (int i = 0; i < cacheMatrix.rowSize(); i++)
-            for (int j = 0; j < cacheMatrix.columnSize(); j++)
-                assert copiedMtx.get(i, j) == cacheMatrix.get(i, j);
-    }
-
-    /** */
-    public void testCacheBehaviour() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        SparseDistributedMatrix cacheMatrix1 = new SparseDistributedMatrix(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-        SparseDistributedMatrix cacheMatrix2 = new SparseDistributedMatrix(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-
-        initMtx(cacheMatrix1);
-        initMtx(cacheMatrix2);
-
-        Collection<String> cacheNames = ignite.cacheNames();
-
-        assert cacheNames.contains(((DistributedStorage)cacheMatrix1.getStorage()).cacheName());
-
-        IgniteCache<RowColMatrixKey, Map<Integer, Double>> cache = ignite.getOrCreateCache(((DistributedStorage)cacheMatrix1.getStorage()).cacheName());
-
-        Set<RowColMatrixKey> keySet1 = ((SparseDistributedMatrixStorage)cacheMatrix1.getStorage()).getAllKeys();
-        Set<RowColMatrixKey> keySet2 = ((SparseDistributedMatrixStorage)cacheMatrix2.getStorage()).getAllKeys();
-
-        assert cache.containsKeys(keySet1) ||
-            keySet1.stream().allMatch(k -> cache.invoke(k, (entry, arguments) -> entry.getKey().equals(k) && entry.getValue().size() == 100));
-        assert cache.containsKeys(keySet2) ||
-            keySet2.stream().allMatch(k -> cache.invoke(k, (entry, arguments) -> entry.getKey().equals(k) && entry.getValue().size() == 100));
-
-        cacheMatrix2.destroy();
-
-        assert cache.containsKeys(keySet1) ||
-            keySet1.stream().allMatch(k -> cache.invoke(k, (entry, arguments) -> entry.getKey().equals(k) && entry.getValue().size() == 100));
-        assert !cache.containsKeys(keySet2) &&
-            keySet2.stream().allMatch(k -> cache.invoke(k, (entry, arguments) -> entry.getKey().equals(k) && entry.getValue() == null));
-
-        cacheMatrix1.destroy();
-
-        assert !cache.containsKeys(keySet1) &&
-            keySet1.stream().allMatch(k -> cache.invoke(k, (entry, arguments) -> entry.getKey().equals(k) && entry.getValue() == null));
-    }
-
-    /** */
-    public void testLike() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        cacheMatrix = new SparseDistributedMatrix(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-
-        assertNotNull(cacheMatrix.like(1, 1));
-    }
-
-    /** */
-    public void testLikeVector() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        cacheMatrix = new SparseDistributedMatrix(rows, cols, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-
-        Vector v = cacheMatrix.likeVector(1);
-        assert v.size() == 1;
-        assert v instanceof SparseDistributedVector;
-    }
-
-    /** */
-    public void testMatrixTimes() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        int size = MATRIX_SIZE;
-
-        SparseDistributedMatrix cacheMatrix1 = new SparseDistributedMatrix(size, size, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-        SparseDistributedMatrix cacheMatrix2 = new SparseDistributedMatrix(size, size, StorageConstants.ROW_STORAGE_MODE, StorageConstants.RANDOM_ACCESS_MODE);
-
-        for (int i = 0; i < size; i++) {
-            cacheMatrix1.setX(i, i, i);
-            cacheMatrix2.setX(i, i, i);
-        }
-
-        Matrix res = cacheMatrix1.times(cacheMatrix2);
-
-        for (int i = 0; i < size; i++)
-            for (int j = 0; j < size; j++)
-                if (i == j)
-                    assertEquals(UNEXPECTED_VAL, i * i, res.get(i, j), PRECISION);
-                else
-                    assertEquals(UNEXPECTED_VAL, 0, res.get(i, j), PRECISION);
-    }
-
-    /** */
-    private void initMtx(Matrix m) {
-        for (int i = 0; i < m.rowSize(); i++)
-            for (int j = 0; j < m.columnSize(); j++)
-                m.set(i, j, 1.0);
-    }
-}

http://git-wip-us.apache.org/repos/asf/ignite/blob/9dccb3db/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/matrix/TransposedMatrixViewTest.java
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diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/matrix/TransposedMatrixViewTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/matrix/TransposedMatrixViewTest.java
deleted file mode 100644
index 22ec7cc..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/matrix/TransposedMatrixViewTest.java
+++ /dev/null
@@ -1,87 +0,0 @@
-/*
- * 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.matrix;
-
-import org.apache.ignite.ml.math.ExternalizeTest;
-import org.apache.ignite.ml.math.exceptions.UnsupportedOperationException;
-import org.apache.ignite.ml.math.impls.MathTestConstants;
-import org.junit.Before;
-import org.junit.Test;
-
-import static org.junit.Assert.assertEquals;
-
-/**
- * Tests for {@link TransposedMatrixView}.
- */
-public class TransposedMatrixViewTest extends ExternalizeTest<TransposedMatrixView> {
-    /** */
-    private static final String UNEXPECTED_VALUE = "Unexpected value";
-    /** */
-    private TransposedMatrixView testMatrix;
-    /** */
-    private DenseLocalOnHeapMatrix parent;
-
-    /** */
-    @Before
-    public void setup() {
-        parent = new DenseLocalOnHeapMatrix(MathTestConstants.STORAGE_SIZE, MathTestConstants.STORAGE_SIZE);
-        fillMatrix(parent);
-        testMatrix = new TransposedMatrixView(parent);
-    }
-
-    /** {@inheritDoc} */
-    @Override public void externalizeTest() {
-        externalizeTest(testMatrix);
-    }
-
-    /** */
-    @Test
-    public void testView() {
-        assertEquals(UNEXPECTED_VALUE, parent.rowSize(), testMatrix.columnSize());
-        assertEquals(UNEXPECTED_VALUE, parent.columnSize(), testMatrix.rowSize());
-
-        for (int i = 0; i < parent.rowSize(); i++)
-            for (int j = 0; j < parent.columnSize(); j++)
-                assertEquals(UNEXPECTED_VALUE, parent.get(i, j), testMatrix.get(j, i), 0d);
-    }
-
-    /** */
-    @Test
-    public void testNullParams() {
-        DenseLocalOnHeapMatrixConstructorTest.verifyAssertionError(() -> new TransposedMatrixView(null), "Null Matrix parameter");
-    }
-
-    /** */
-    @Test(expected = UnsupportedOperationException.class)
-    public void testLike() {
-        testMatrix.like(0, 0);
-    }
-
-    /** */
-    @Test(expected = UnsupportedOperationException.class)
-    public void testLikeVector() {
-        testMatrix.likeVector(0);
-    }
-
-    /** */
-    private void fillMatrix(DenseLocalOnHeapMatrix mtx) {
-        for (int i = 0; i < mtx.rowSize(); i++)
-            for (int j = 0; j < mtx.columnSize(); j++)
-                mtx.setX(i, j, i * mtx.rowSize() + j);
-    }
-}

http://git-wip-us.apache.org/repos/asf/ignite/blob/9dccb3db/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
deleted file mode 100644
index 7c2d415..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/matrix/SparseDistributedMatrixStorageTest.java
+++ /dev/null
@@ -1,126 +0,0 @@
-/*
- * 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/9dccb3db/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/SparseDistributedVectorStorageTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/SparseDistributedVectorStorageTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/SparseDistributedVectorStorageTest.java
deleted file mode 100644
index f433725..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/storage/vector/SparseDistributedVectorStorageTest.java
+++ /dev/null
@@ -1,123 +0,0 @@
-/*
- * 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.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 SparseDistributedVectorStorage}.
- */
-@GridCommonTest(group = "Distributed Models")
-public class SparseDistributedVectorStorageTest 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 SparseDistributedVectorStorageTest() {
-        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 size = MathTestConstants.STORAGE_SIZE;
-
-        SparseDistributedVectorStorage storage = new SparseDistributedVectorStorage(size, StorageConstants.RANDOM_ACCESS_MODE);
-
-        assertNotNull("SparseDistributedMatrixStorage cache is null.", storage.cache());
-    }
-
-    /** */
-    public void testSetGet() throws Exception {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        final int size = MathTestConstants.STORAGE_SIZE;
-
-        SparseDistributedVectorStorage storage = new SparseDistributedVectorStorage(size, StorageConstants.RANDOM_ACCESS_MODE);
-
-        for (int i = 0; i < size; i++) {
-            double v = Math.random();
-            storage.set(i, v);
-
-            assert Double.compare(v, storage.get(i)) == 0;
-            assert Double.compare(v, storage.get(i)) == 0;
-        }
-    }
-
-    /** */
-    public void testAttributes() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        final int size = MathTestConstants.STORAGE_SIZE;
-
-        SparseDistributedVectorStorage storage = new SparseDistributedVectorStorage(size, StorageConstants.RANDOM_ACCESS_MODE);
-
-        assertEquals(UNEXPECTED_ATTRIBUTE_VALUE, storage.size(), size);
-
-        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/9dccb3db/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
deleted file mode 100644
index 1008cc2..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/CacheVectorTest.java
+++ /dev/null
@@ -1,430 +0,0 @@
-/*
- * 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.distributed.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 testSumEmptyVector() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        IdentityValueMapper valMapper = new IdentityValueMapper();
-        CacheVector<Integer, Double> cacheVector = new CacheVector<>(size, getCache(), keyMapper, valMapper);
-
-        cacheVector.sum();
-    }
-
-    /** */
-    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/9dccb3db/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
deleted file mode 100644
index c5c0bbd..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/ConstantVectorConstructorTest.java
+++ /dev/null
@@ -1,52 +0,0 @@
-/*
- * 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/9dccb3db/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
deleted file mode 100644
index 1e99f7e..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/FunctionVectorConstructorTest.java
+++ /dev/null
@@ -1,121 +0,0 @@
-/*
- * 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/9dccb3db/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
deleted file mode 100644
index f07a3fd..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/PivotedVectorViewConstructorTest.java
+++ /dev/null
@@ -1,211 +0,0 @@
-/*
- * 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: IGNITE-5824, 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));
-        }
-    }
-}

http://git-wip-us.apache.org/repos/asf/ignite/blob/9dccb3db/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/RandomVectorConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/RandomVectorConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/RandomVectorConstructorTest.java
deleted file mode 100644
index 49e1a50..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/RandomVectorConstructorTest.java
+++ /dev/null
@@ -1,145 +0,0 @@
-/*
- * 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.Vector;
-import org.apache.ignite.ml.math.exceptions.UnsupportedOperationException;
-import org.junit.Test;
-
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.assertFalse;
-import static org.junit.Assert.assertTrue;
-
-/** */
-public class RandomVectorConstructorTest {
-    /** */
-    private static final int IMPOSSIBLE_SIZE = -1;
-
-    /** */
-    @Test(expected = UnsupportedOperationException.class)
-    public void mapInvalidArgsTest() {
-        assertEquals("Expect exception due to invalid args.", IMPOSSIBLE_SIZE,
-            new RandomVector(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("paramMissing", "whatever");
-        }};
-
-        assertEquals("Expect exception due to missing args.",
-            -1, new RandomVector(test).size());
-    }
-
-    /** */
-    @Test(expected = ClassCastException.class)
-    public void mapInvalidParamTypeTest() {
-        final Map<String, Object> test = new HashMap<String, Object>() {{
-            put("size", "whatever");
-            put("fastHash", true);
-        }};
-
-        assertEquals("Expect exception due to invalid param type.", IMPOSSIBLE_SIZE,
-            new RandomVector(test).size());
-    }
-
-    /** */
-    @Test(expected = AssertionError.class)
-    public void mapNullTest() {
-        //noinspection ConstantConditions
-        assertEquals("Null map args.", IMPOSSIBLE_SIZE,
-            new RandomVector(null).size());
-    }
-
-    /** */
-    @Test
-    public void mapTest() {
-        assertEquals("Size from args.", 99,
-            new RandomVector(new HashMap<String, Object>() {{
-                put("size", 99);
-            }}).size());
-
-        final int test = 99;
-
-        assertEquals("Size from args with fastHash false.", test,
-            new RandomVector(new HashMap<String, Object>() {{
-                put("size", test);
-                put("fastHash", false);
-            }}).size());
-
-        assertEquals("Size from args with fastHash true.", test,
-            new RandomVector(new HashMap<String, Object>() {{
-                put("size", test);
-                put("fastHash", true);
-            }}).size());
-    }
-
-    /** */
-    @Test(expected = AssertionError.class)
-    public void negativeSizeTest() {
-        assertEquals("Negative size.", IMPOSSIBLE_SIZE,
-            new RandomVector(-1).size());
-    }
-
-    /** */
-    @Test
-    public void basicTest() {
-        final int basicSize = 3;
-
-        Vector v1 = new RandomVector(basicSize);
-
-        //noinspection EqualsWithItself
-        assertTrue("Expect vector to be equal to self", v1.equals(v1));
-
-        //noinspection ObjectEqualsNull
-        assertFalse("Expect vector to be not equal to null", v1.equals(null));
-
-        assertEquals("Size differs from expected", basicSize, v1.size());
-
-        verifyValues(v1);
-
-        Vector v2 = new RandomVector(basicSize, true);
-
-        assertEquals("Size differs from expected", basicSize, v2.size());
-
-        verifyValues(v2);
-
-        Vector v3 = new RandomVector(basicSize, false);
-
-        assertEquals("Size differs from expected", basicSize, v3.size());
-
-        verifyValues(v3);
-    }
-
-    /** */
-    private void verifyValues(Vector v) {
-        for (Vector.Element e : v.all()) {
-            double val = e.get();
-
-            assertTrue("Value too small: " + val + " at index " + e.index(), -1d <= val);
-
-            assertTrue("Value too large: " + val + " at index " + e.index(), val <= 1d);
-        }
-    }
-}

http://git-wip-us.apache.org/repos/asf/ignite/blob/9dccb3db/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SingleElementVectorConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SingleElementVectorConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SingleElementVectorConstructorTest.java
deleted file mode 100644
index db4d5de..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SingleElementVectorConstructorTest.java
+++ /dev/null
@@ -1,159 +0,0 @@
-/*
- * 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.Vector;
-import org.apache.ignite.ml.math.exceptions.UnsupportedOperationException;
-import org.junit.Test;
-
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.assertTrue;
-
-/** */
-public class SingleElementVectorConstructorTest {
-    /** */
-    private static final int IMPOSSIBLE_SIZE = -1;
-
-    /** */
-    @Test(expected = UnsupportedOperationException.class)
-    public void mapInvalidArgsTest() {
-        assertEquals("Expect exception due to invalid args.", IMPOSSIBLE_SIZE,
-            new SingleElementVector(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 SingleElementVector(test).size());
-    }
-
-    /** */
-    @Test(expected = ClassCastException.class)
-    public void mapInvalidParamTypeTest() {
-        final Map<String, Object> test = new HashMap<String, Object>() {{
-            put("size", "whatever");
-
-            put("index", 0);
-            put("value", 1.0);
-        }};
-
-        assertEquals("Expect exception due to invalid param type.", IMPOSSIBLE_SIZE,
-            new SingleElementVector(test).size());
-    }
-
-    /** */
-    @Test(expected = AssertionError.class)
-    public void mapNullTest() {
-        //noinspection ConstantConditions
-        assertEquals("Null map args.", IMPOSSIBLE_SIZE,
-            new SingleElementVector(null).size());
-    }
-
-    /** */
-    @Test
-    public void mapTest() {
-        assertEquals("Size from array in args.", 99,
-            new SingleElementVector(new HashMap<String, Object>() {{
-                put("size", 99);
-                put("index", 0);
-                put("value", 1.0);
-            }}).size());
-    }
-
-    /** */
-    @Test(expected = AssertionError.class)
-    public void negativeSizeTest() {
-        assertEquals("Negative size.", IMPOSSIBLE_SIZE,
-            new SingleElementVector(-1, 0, 1.0).size());
-    }
-
-    /** */
-    @Test(expected = AssertionError.class)
-    public void zeroSizeTest() {
-        assertEquals("Zero size.", IMPOSSIBLE_SIZE,
-            new SingleElementVector(0, 0, 1.0).size());
-    }
-
-    /** */
-    @Test(expected = AssertionError.class)
-    public void wrongIndexTest() {
-        //noinspection ConstantConditions
-        assertEquals("Wrong index.", IMPOSSIBLE_SIZE,
-            new SingleElementVector(1, 2, 1.0).size());
-    }
-
-    /** */
-    @Test
-    public void basicTest() {
-        final int[] sizes = new int[] {1, 4, 8};
-
-        for (int size : sizes)
-            for (int idx = 0; idx < size; idx++)
-                basicTest(size, idx);
-    }
-
-    /** */
-    private void basicTest(int size, int idx) {
-        final Double expVal = (double)(size - idx);
-
-        Vector v = new SingleElementVector(size, idx, expVal);
-
-        assertTrue("Expect value " + expVal + " at index " + idx + " for size " + size,
-            expVal.equals(v.get(idx)));
-
-        final double delta = 1.0;
-
-        v.set(idx, expVal - delta);
-
-        assertTrue("Expect value " + expVal + " at index " + idx + " for size " + size,
-            expVal.equals(v.get(idx) + delta));
-
-        final Double zero = 0.0;
-
-        for (int i = 0; i < size; i++) {
-            if (i == idx)
-                continue;
-
-            assertTrue("Expect zero at index " + i + " for size " + size,
-                zero.equals(v.get(i)));
-
-            boolean eCaught = false;
-
-            try {
-                v.set(i, 1.0);
-            }
-            catch (UnsupportedOperationException uoe) {
-                eCaught = true;
-            }
-
-            assertTrue("Expect " + java.lang.UnsupportedOperationException.class.getSimpleName()
-                + " at index " + i + " for size " + size, eCaught);
-        }
-    }
-}

http://git-wip-us.apache.org/repos/asf/ignite/blob/9dccb3db/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SingleElementVectorViewConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SingleElementVectorViewConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SingleElementVectorViewConstructorTest.java
deleted file mode 100644
index a693319..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SingleElementVectorViewConstructorTest.java
+++ /dev/null
@@ -1,137 +0,0 @@
-/*
- * 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.UnsupportedOperationException;
-import org.junit.Test;
-
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.assertTrue;
-
-/** */
-public class SingleElementVectorViewConstructorTest {
-    /** */
-    private static final int IMPOSSIBLE_SIZE = -1;
-
-    /** */
-    private static final SampleHelper helper = new SampleHelper();
-
-    /** */
-    @Test(expected = AssertionError.class)
-    public void nullVecParamTest() {
-        assertEquals("Expect exception due to null vector param.", IMPOSSIBLE_SIZE,
-            new SingleElementVectorView(null, helper.idx).size());
-    }
-
-    /** */
-    @Test(expected = AssertionError.class)
-    public void negativeIdxParamTest() {
-        assertEquals("Expect exception due to negative index param.", IMPOSSIBLE_SIZE,
-            new SingleElementVectorView(helper.vec, -1).size());
-    }
-
-    /** */
-    @Test(expected = AssertionError.class)
-    public void tooLargeIdxParamTest() {
-        assertEquals("Expect exception due to too large index param.", IMPOSSIBLE_SIZE,
-            new SingleElementVectorView(helper.vec, helper.vec.size()).size());
-    }
-
-    /** */
-    @Test(expected = AssertionError.class)
-    public void emptyVecParamTest() {
-        assertEquals("Expect exception due to empty vector param.", IMPOSSIBLE_SIZE,
-            new SingleElementVectorView(helper.vecEmpty, 0).size());
-    }
-
-    /** */
-    @Test
-    public void basicTest() {
-        final int[] sizes = new int[] {1, 4, 8};
-
-        for (int size : sizes)
-            for (int idx = 0; idx < size; idx++)
-                basicTest(size, idx);
-    }
-
-    /** */
-    private void basicTest(int size, int idx) {
-        final Double expVal = (double)(size - idx);
-
-        Vector orig = helper.newSample(size, idx, expVal);
-
-        SingleElementVectorView svv = new SingleElementVectorView(orig, idx);
-
-        assertEquals("Size differs from expected", size, svv.size());
-
-        assertTrue("Expect value " + expVal + " at index " + idx + " for size " + size,
-            expVal.equals(svv.get(idx)));
-
-        final double delta = 1.0;
-
-        svv.set(idx, expVal - delta);
-
-        assertTrue("Expect value " + expVal + " at index " + idx + " for size " + size,
-            expVal.equals(orig.get(idx) + delta));
-
-        final Double zero = 0.0;
-
-        for (int i = 0; i < size; i++) {
-            if (i == idx)
-                continue;
-
-            assertTrue("Expect zero at index " + i + " for size " + size,
-                zero.equals(svv.get(i)));
-
-            boolean eCaught = false;
-
-            try {
-                svv.set(i, 1.0);
-            }
-            catch (UnsupportedOperationException uoe) {
-                eCaught = true;
-            }
-
-            assertTrue("Expect " + UnsupportedOperationException.class.getSimpleName()
-                + " at index " + i + " for size " + size, eCaught);
-        }
-    }
-
-    /** */
-    private static class SampleHelper {
-        /** */
-        final double[] data = new double[] {0, 1};
-        /** */
-        final Vector vec = new DenseLocalOnHeapVector(data);
-        /** */
-        final Vector vecEmpty = new DenseLocalOnHeapVector(new double[] {});
-        /** */
-        final int idx = 0;
-
-        /** */
-        Vector newSample(int size, int idx, double expVal) {
-            final Vector v = new DenseLocalOnHeapVector(size);
-
-            for (int i = 0; i < size; i++)
-                v.set(i, i == idx ? expVal : i);
-
-            return v;
-        }
-    }
-}

http://git-wip-us.apache.org/repos/asf/ignite/blob/9dccb3db/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SparseBlockDistributedVectorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SparseBlockDistributedVectorTest.java b/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SparseBlockDistributedVectorTest.java
deleted file mode 100644
index 6b2590c..0000000
--- a/modules/ml/src/test/java/org/apache/ignite/ml/math/impls/vector/SparseBlockDistributedVectorTest.java
+++ /dev/null
@@ -1,186 +0,0 @@
-/*
- * 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 org.apache.ignite.Ignite;
-import org.apache.ignite.internal.util.IgniteUtils;
-import org.apache.ignite.ml.math.Vector;
-import org.apache.ignite.ml.math.impls.MathTestConstants;
-import org.apache.ignite.testframework.junits.common.GridCommonAbstractTest;
-import org.apache.ignite.testframework.junits.common.GridCommonTest;
-
-import static org.apache.ignite.ml.math.impls.MathTestConstants.UNEXPECTED_VAL;
-
-/**
- * Tests for {@link SparseDistributedVector}.
- */
-@GridCommonTest(group = "Distributed Models")
-public class SparseBlockDistributedVectorTest extends GridCommonAbstractTest {
-    /** Number of nodes in grid */
-    private static final int NODE_COUNT = 3;
-
-    /** Precision. */
-    private static final double PRECISION = 0.0;
-
-    /** Grid instance. */
-    private Ignite ignite;
-
-    /** Vector size */
-    private final int size = MathTestConstants.STORAGE_SIZE;
-
-    /** Vector for tests */
-    private SparseBlockDistributedVector sparseBlockDistributedVector;
-
-    /**
-     * Default constructor.
-     */
-    public SparseBlockDistributedVectorTest() {
-        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 {
-        if (sparseBlockDistributedVector != null) {
-            sparseBlockDistributedVector.destroy();
-            sparseBlockDistributedVector = null;
-        }
-    }
-
-    /** */
-    public void testGetSet() throws Exception {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        sparseBlockDistributedVector = new SparseBlockDistributedVector(size);
-
-        for (int i = 0; i < size; i++) {
-            double v = Math.random();
-            sparseBlockDistributedVector.set(i, v);
-            assertEquals("Unexpected value for vector element[" + i + "]", v, sparseBlockDistributedVector.get(i), PRECISION);
-        }
-    }
-
-    /** */
-    public void testExternalize() throws IOException, ClassNotFoundException {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        sparseBlockDistributedVector = new SparseBlockDistributedVector(size);
-
-        sparseBlockDistributedVector.set(1, 1.0);
-
-        ByteArrayOutputStream byteArrOutputStream = new ByteArrayOutputStream();
-        ObjectOutputStream objOutputStream = new ObjectOutputStream(byteArrOutputStream);
-
-        objOutputStream.writeObject(sparseBlockDistributedVector);
-
-        ByteArrayInputStream byteArrInputStream = new ByteArrayInputStream(byteArrOutputStream.toByteArray());
-        ObjectInputStream objInputStream = new ObjectInputStream(byteArrInputStream);
-
-        SparseBlockDistributedVector objRestored = (SparseBlockDistributedVector)objInputStream.readObject();
-
-        assertTrue(MathTestConstants.VAL_NOT_EQUALS, sparseBlockDistributedVector.equals(objRestored));
-        assertEquals(MathTestConstants.VAL_NOT_EQUALS, objRestored.get(1), 1.0, PRECISION);
-    }
-
-    /** Test simple math. */
-    public void testMath() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        sparseBlockDistributedVector = new SparseBlockDistributedVector(size);
-        initVector(sparseBlockDistributedVector);
-
-        sparseBlockDistributedVector.assign(2.0);
-        for (int i = 0; i < sparseBlockDistributedVector.size(); i++)
-            assertEquals(UNEXPECTED_VAL, 2.0, sparseBlockDistributedVector.get(i), PRECISION);
-
-        sparseBlockDistributedVector.plus(3.0);
-        for (int i = 0; i < sparseBlockDistributedVector.size(); i++)
-            assertEquals(UNEXPECTED_VAL, 5.0, sparseBlockDistributedVector.get(i), PRECISION);
-
-        sparseBlockDistributedVector.times(2.0);
-        for (int i = 0; i < sparseBlockDistributedVector.size(); i++)
-            assertEquals(UNEXPECTED_VAL, 10.0, sparseBlockDistributedVector.get(i), PRECISION);
-
-        sparseBlockDistributedVector.divide(10.0);
-        for (int i = 0; i < sparseBlockDistributedVector.size(); i++)
-            assertEquals(UNEXPECTED_VAL, 1.0, sparseBlockDistributedVector.get(i), PRECISION);
-    }
-
-    /** */
-    public void testMap() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        sparseBlockDistributedVector = new SparseBlockDistributedVector(size);
-        initVector(sparseBlockDistributedVector);
-
-        sparseBlockDistributedVector.map(i -> 100.0);
-        for (int i = 0; i < sparseBlockDistributedVector.size(); i++)
-            assertEquals(UNEXPECTED_VAL, 100.0, sparseBlockDistributedVector.get(i), PRECISION);
-    }
-
-    /** */
-    public void testCopy() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        sparseBlockDistributedVector = new SparseBlockDistributedVector(size);
-
-        Vector cp = sparseBlockDistributedVector.copy();
-        assertNotNull(cp);
-        for (int i = 0; i < size; i++)
-            assertEquals(UNEXPECTED_VAL, cp.get(i), sparseBlockDistributedVector.get(i), PRECISION);
-    }
-
-    /** */
-    public void testLike() {
-        IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
-
-        sparseBlockDistributedVector = new SparseBlockDistributedVector(size);
-
-        assertNotNull(sparseBlockDistributedVector.like(1));
-    }
-
-    /** */
-    private void initVector(Vector v) {
-        for (int i = 0; i < v.size(); i++)
-            v.set(i, 1.0);
-    }
-}