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From agoncha...@apache.org
Subject [02/62] [abbrv] ignite git commit: IGNITE-5000 Rename Ignite Math module to Ignite ML module
Date Tue, 18 Apr 2017 13:45:47 GMT
http://git-wip-us.apache.org/repos/asf/ignite/blob/732dfea9/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/MatrixVectorViewTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/MatrixVectorViewTest.java b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/MatrixVectorViewTest.java
new file mode 100644
index 0000000..b7e390e
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/MatrixVectorViewTest.java
@@ -0,0 +1,209 @@
+package org.apache.ignite.math.impls.vector;
+
+import org.apache.ignite.math.Matrix;
+import org.apache.ignite.math.Vector;
+import org.apache.ignite.math.exceptions.IndexException;
+import org.apache.ignite.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/732dfea9/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/PivotedVectorViewConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/PivotedVectorViewConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/PivotedVectorViewConstructorTest.java
new file mode 100644
index 0000000..91650dc
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/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.math.impls.vector;
+
+import org.apache.ignite.math.Vector;
+import org.apache.ignite.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));
+        }
+    }
+}

http://git-wip-us.apache.org/repos/asf/ignite/blob/732dfea9/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/RandomVectorConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/RandomVectorConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/RandomVectorConstructorTest.java
new file mode 100644
index 0000000..6d4e4f1
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/RandomVectorConstructorTest.java
@@ -0,0 +1,145 @@
+/*
+ * 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.math.impls.vector;
+
+import java.util.HashMap;
+import java.util.Map;
+import org.apache.ignite.math.Vector;
+import org.apache.ignite.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 = org.apache.ignite.math.exceptions.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/732dfea9/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SingleElementVectorConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SingleElementVectorConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SingleElementVectorConstructorTest.java
new file mode 100644
index 0000000..69e22e0
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SingleElementVectorConstructorTest.java
@@ -0,0 +1,159 @@
+/*
+ * 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.math.impls.vector;
+
+import java.util.HashMap;
+import java.util.Map;
+import org.apache.ignite.math.Vector;
+import org.apache.ignite.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/732dfea9/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SingleElementVectorViewConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SingleElementVectorViewConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SingleElementVectorViewConstructorTest.java
new file mode 100644
index 0000000..957f3b7
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SingleElementVectorViewConstructorTest.java
@@ -0,0 +1,137 @@
+/*
+ * 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.math.impls.vector;
+
+import org.apache.ignite.math.Vector;
+import org.apache.ignite.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/732dfea9/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SparseLocalVectorConstructorTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SparseLocalVectorConstructorTest.java b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SparseLocalVectorConstructorTest.java
new file mode 100644
index 0000000..2be4a10
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/SparseLocalVectorConstructorTest.java
@@ -0,0 +1,54 @@
+/*
+ * 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.math.impls.vector;
+
+import org.apache.ignite.math.StorageConstants;
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+
+/** */
+public class SparseLocalVectorConstructorTest {
+    /** */
+    private static final int IMPOSSIBLE_SIZE = -1;
+
+    /** */
+    @Test(expected = AssertionError.class)
+    public void negativeSizeTest() {
+        assertEquals("Negative size.", IMPOSSIBLE_SIZE,
+            new SparseLocalVector(-1, 1).size());
+    }
+
+    /** */
+    @Test(expected = AssertionError.class)
+    public void zeroSizeTest() {
+        assertEquals("0 size.", IMPOSSIBLE_SIZE,
+            new SparseLocalVector(0, 1).size());
+    }
+
+    /** */
+    @Test
+    public void primitiveTest() {
+        assertEquals("1 size, random access.", 1,
+            new SparseLocalVector(1, StorageConstants.RANDOM_ACCESS_MODE).size());
+
+        assertEquals("1 size, sequential access.", 1,
+            new SparseLocalVector(1, StorageConstants.SEQUENTIAL_ACCESS_MODE).size());
+
+    }
+}

http://git-wip-us.apache.org/repos/asf/ignite/blob/732dfea9/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorAttributesTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorAttributesTest.java b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorAttributesTest.java
new file mode 100644
index 0000000..992018a
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorAttributesTest.java
@@ -0,0 +1,217 @@
+/*
+ * 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.math.impls.vector;
+
+import java.util.Arrays;
+import java.util.List;
+import java.util.function.Function;
+import org.apache.ignite.math.Vector;
+import org.apache.ignite.math.impls.matrix.DenseLocalOffHeapMatrix;
+import org.apache.ignite.math.impls.matrix.DenseLocalOnHeapMatrix;
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+
+/** */
+public class VectorAttributesTest {
+    /** */
+    private final List<AttrCfg> attrCfgs = Arrays.asList(
+        new AttrCfg("isDense", Vector::isDense,
+            DenseLocalOnHeapVector.class, DenseLocalOffHeapVector.class, RandomVector.class, ConstantVector.class,
+            SingleElementVector.class),
+        new AttrCfg("isArrayBased", Vector::isArrayBased,
+            DenseLocalOnHeapVector.class),
+        new AttrCfg("isSequentialAccess", Vector::isSequentialAccess,
+            DenseLocalOnHeapVector.class, DenseLocalOffHeapVector.class, SparseLocalVectorSequentialAccess.class,
+            RandomVector.class, ConstantVector.class, SingleElementVector.class),
+        new AttrCfg("guidNotNull", v -> v.guid() == null), // IMPL NOTE this is somewhat artificial
+        new AttrCfg("isRandomAccess", Vector::isRandomAccess,
+            DenseLocalOnHeapVector.class, DenseLocalOffHeapVector.class, RandomVector.class, ConstantVector.class,
+            SingleElementVector.class, SparseLocalVectorSequentialAccess.class, SparseLocalVectorRandomAccess.class),
+        new AttrCfg("isDistributed", Vector::isDistributed));
+
+    /** */
+    private final List<Specification> specFixture = Arrays.asList(
+        new Specification(new DenseLocalOnHeapVector(1)),
+        new Specification(new DenseLocalOffHeapVector(1)),
+        new Specification(new DelegatingVector(new DenseLocalOnHeapVector(1)),
+            DenseLocalOnHeapVector.class, "isDense", "isArrayBased", "isSequentialAccess",
+            "isRandomAccess", "isDistributed"),
+        new Specification(new DelegatingVector(new DenseLocalOffHeapVector(1)),
+            DenseLocalOffHeapVector.class, "isDense", "isArrayBased", "isSequentialAccess",
+            "isRandomAccess", "isDistributed"),
+        new Specification(new SparseLocalVectorSequentialAccess(1)),
+        new Specification(new SparseLocalVectorRandomAccess(1)),
+        new Specification(new RandomVector(1)),
+        new Specification(new ConstantVector(1, 1.0)),
+        new Specification(new FunctionVector(1, idx -> (double)idx)),
+        new Specification(new SingleElementVector(1, 0, 1.0)),
+        new Specification(new PivotedVectorView(new DenseLocalOnHeapVector(1), new int[] {0}),
+            DenseLocalOnHeapVector.class, "isDense", "isArrayBased", "isSequentialAccess",
+            "isRandomAccess", "isDistributed"),
+        new Specification(new PivotedVectorView(new DenseLocalOffHeapVector(1), new int[] {0}),
+            DenseLocalOffHeapVector.class, "isDense", "isArrayBased", "isSequentialAccess",
+            "isRandomAccess", "isDistributed"),
+        new Specification(new SingleElementVectorView(new DenseLocalOnHeapVector(1), 0),
+            DenseLocalOnHeapVector.class, "isDense", "isSequentialAccess",
+            "isRandomAccess", "isDistributed"),
+        new Specification(new SingleElementVectorView(new DenseLocalOffHeapVector(1), 0),
+            DenseLocalOffHeapVector.class, "isDense", "isSequentialAccess",
+            "isRandomAccess", "isDistributed"),
+        new Specification(new MatrixVectorView(new DenseLocalOnHeapMatrix(1, 1), 0, 0, 1, 1),
+            DenseLocalOnHeapVector.class, "isDense",
+            "isRandomAccess", "isDistributed"), // todo find out why "isSequentialAccess" fails here
+        new Specification(new MatrixVectorView(new DenseLocalOffHeapMatrix(1, 1), 0, 0, 1, 1),
+            DenseLocalOffHeapVector.class, "isDense",
+            "isRandomAccess", "isDistributed"));
+
+    /** */
+    @Test
+    public void isDenseTest() {
+        assertAttribute("isDense");
+    }
+
+    /** */
+    @Test
+    public void isArrayBasedTest() {
+        assertAttribute("isArrayBased");
+    }
+
+    /** */
+    @Test
+    public void isSequentialAccessTest() {
+        assertAttribute("isSequentialAccess");
+    }
+
+    /** */
+    @Test
+    public void guidTest() {
+        assertAttribute("guidNotNull");
+    }
+
+    /** */
+    @Test
+    public void isRandomAccessTest() {
+        assertAttribute("isRandomAccess");
+    }
+
+    /** */
+    @Test
+    public void isDistributedTest() {
+        assertAttribute("isDistributed");
+    }
+
+    /** */
+    private void assertAttribute(String name) {
+        final AttrCfg attr = attrCfg(name);
+
+        for (Specification spec : specFixture)
+            spec.verify(attr);
+    }
+
+    /** */
+    private AttrCfg attrCfg(String name) {
+        for (AttrCfg attr : attrCfgs)
+            if (attr.name.equals(name))
+                return attr;
+
+        throw new IllegalArgumentException("Undefined attribute " + name);
+    }
+
+    /** See http://en.wikipedia.org/wiki/Specification_pattern */
+    private static class Specification {
+        /** */
+        private final Vector v;
+        /** */
+        private final Class<? extends Vector> underlyingType;
+        /** */
+        private final List<String> attrsFromUnderlying;
+        /** */
+        final String desc;
+
+        /** */
+        Specification(Vector v, Class<? extends Vector> underlyingType, String... attrsFromUnderlying) {
+            this.v = v;
+            this.underlyingType = underlyingType;
+            this.attrsFromUnderlying = Arrays.asList(attrsFromUnderlying);
+            final Class<? extends Vector> clazz = v.getClass();
+            desc = clazz.getSimpleName() + (clazz.equals(underlyingType)
+                ? "" : " (underlying type " + underlyingType.getSimpleName() + ")");
+        }
+
+        /** */
+        Specification(Vector v) {
+            this(v, v.getClass());
+        }
+
+        /** */
+        void verify(AttrCfg attr) {
+            final boolean obtained = attr.obtain.apply(v);
+
+            final Class<? extends Vector> typeToCheck
+                = attrsFromUnderlying.contains(attr.name) ? underlyingType : v.getClass();
+
+            final boolean exp = attr.trueInTypes.contains(typeToCheck);
+
+            assertEquals("Unexpected " + attr.name + " value for " + desc, exp, obtained);
+        }
+    }
+
+    /** */
+    private static class AttrCfg {
+        /** */
+        final String name;
+        /** */
+        final Function<Vector, Boolean> obtain;
+        /** */
+        final List<Class> trueInTypes;
+
+        /** */
+        AttrCfg(String name, Function<Vector, Boolean> obtain, Class... trueInTypes) {
+            this.name = name;
+            this.obtain = obtain;
+            this.trueInTypes = Arrays.asList(trueInTypes);
+        }
+    }
+
+    /** */
+    private static class SparseLocalVectorSequentialAccess extends SparseLocalVector {
+        /** */
+        public SparseLocalVectorSequentialAccess() {
+            // No-op.
+        }
+
+        /** */
+        SparseLocalVectorSequentialAccess(int size) {
+            super(size, SEQUENTIAL_ACCESS_MODE);
+        }
+    }
+
+    /** */
+    private static class SparseLocalVectorRandomAccess extends SparseLocalVector {
+        /** */
+        public SparseLocalVectorRandomAccess() {
+            // No-op.
+        }
+
+        /** */
+        SparseLocalVectorRandomAccess(int size) {
+            super(size, RANDOM_ACCESS_MODE);
+        }
+    }
+}

http://git-wip-us.apache.org/repos/asf/ignite/blob/732dfea9/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorFoldMapTest.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorFoldMapTest.java b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorFoldMapTest.java
new file mode 100644
index 0000000..67eb8ba
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorFoldMapTest.java
@@ -0,0 +1,122 @@
+/*
+ * 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.math.impls.vector;
+
+import java.util.Arrays;
+import java.util.function.BiConsumer;
+import java.util.function.BiFunction;
+import java.util.function.Function;
+import org.apache.ignite.math.Vector;
+import org.apache.ignite.math.functions.Functions;
+import org.junit.Test;
+
+import static java.util.function.DoubleUnaryOperator.identity;
+import static org.junit.Assert.assertTrue;
+
+/** See also: {@link AbstractVectorTest} and {@link VectorToMatrixTest}. */
+public class VectorFoldMapTest {
+    /** */
+    @Test
+    public void mapVectorTest() {
+        operationVectorTest((operand1, operand2) -> operand1 + operand2, (Vector v1, Vector v2) -> v1.map(v2, Functions.PLUS));
+    }
+
+    /** */
+    @Test
+    public void mapDoubleFunctionTest() {
+        consumeSampleVectors((v, desc) -> operatorTest(v, desc,
+            (vec) -> vec.map(Functions.INV), (val) -> 1.0 / val));
+    }
+
+    /** */
+    @Test
+    public void mapBiFunctionTest() {
+        consumeSampleVectors((v, desc) -> operatorTest(v, desc,
+            (vec) -> vec.map(Functions.PLUS, 1.0), (val) -> 1.0 + val));
+    }
+
+    /** */
+    @Test
+    public void foldMapTest() {
+        toDoubleTest(
+            ref -> Arrays.stream(ref).map(identity()).sum(),
+            (v) -> v.foldMap(Functions.PLUS, Functions.IDENTITY, 0.0));
+    }
+
+    /** */
+    @Test
+    public void foldMapVectorTest() {
+        toDoubleTest(
+            ref -> 2.0 * Arrays.stream(ref).sum(),
+            (v) -> v.foldMap(v, Functions.PLUS, Functions.PLUS, 0.0));
+
+    }
+
+    /** */
+    private void operatorTest(Vector v, String desc, Function<Vector, Vector> op, Function<Double, Double> refOp) {
+        final int size = v.size();
+        final double[] ref = new double[size];
+
+        VectorImplementationsTest.ElementsChecker checker = new VectorImplementationsTest.ElementsChecker(v, ref, desc);
+
+        Vector actual = op.apply(v);
+
+        for (int idx = 0; idx < size; idx++)
+            ref[idx] = refOp.apply(ref[idx]);
+
+        checker.assertCloseEnough(actual, ref);
+    }
+
+    /** */
+    private void toDoubleTest(Function<double[], Double> calcRef, Function<Vector, Double> calcVec) {
+        consumeSampleVectors((v, desc) -> {
+            final int size = v.size();
+            final double[] ref = new double[size];
+
+            new VectorImplementationsTest.ElementsChecker(v, ref, desc); // IMPL NOTE this initialises vector and reference array
+
+            final VectorImplementationsTest.Metric metric = new VectorImplementationsTest.Metric(calcRef.apply(ref), calcVec.apply(v));
+
+            assertTrue("Not close enough at " + desc
+                + ", " + metric, metric.closeEnough());
+        });
+    }
+
+    /** */
+    private void operationVectorTest(BiFunction<Double, Double, Double> operation,
+        BiFunction<Vector, Vector, Vector> vecOperation) {
+        consumeSampleVectors((v, desc) -> {
+            // TODO find out if more elaborate testing scenario is needed or it's okay as is.
+            final int size = v.size();
+            final double[] ref = new double[size];
+
+            final VectorImplementationsTest.ElementsChecker checker = new VectorImplementationsTest.ElementsChecker(v, ref, desc);
+            final Vector operand = v.copy();
+
+            for (int idx = 0; idx < size; idx++)
+                ref[idx] = operation.apply(ref[idx], ref[idx]);
+
+            checker.assertCloseEnough(vecOperation.apply(v, operand), ref);
+        });
+    }
+
+    /** */
+    private void consumeSampleVectors(BiConsumer<Vector, String> consumer) {
+        new VectorImplementationsFixtures().consumeSampleVectors(null, consumer);
+    }
+}

http://git-wip-us.apache.org/repos/asf/ignite/blob/732dfea9/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorImplementationsFixtures.java
----------------------------------------------------------------------
diff --git a/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorImplementationsFixtures.java b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorImplementationsFixtures.java
new file mode 100644
index 0000000..5a46218
--- /dev/null
+++ b/modules/ml/src/test/java/org/apache/ignite/math/impls/vector/VectorImplementationsFixtures.java
@@ -0,0 +1,655 @@
+/*
+ * 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.math.impls.vector;
+
+import java.io.IOException;
+import java.io.ObjectInput;
+import java.io.ObjectOutput;
+import java.util.Arrays;
+import java.util.HashSet;
+import java.util.Iterator;
+import java.util.List;
+import java.util.NoSuchElementException;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicReference;
+import java.util.function.BiConsumer;
+import java.util.function.BiFunction;
+import java.util.function.Consumer;
+import java.util.function.Function;
+import java.util.function.Supplier;
+import org.apache.ignite.math.Matrix;
+import org.apache.ignite.math.StorageConstants;
+import org.apache.ignite.math.Vector;
+import org.apache.ignite.math.impls.matrix.DenseLocalOnHeapMatrix;
+import org.apache.ignite.math.impls.storage.vector.FunctionVectorStorage;
+import org.jetbrains.annotations.NotNull;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertNotNull;
+
+/** */
+class VectorImplementationsFixtures {
+    /** */
+    private static final List<Supplier<Iterable<Vector>>> suppliers = Arrays.asList(
+        (Supplier<Iterable<Vector>>)DenseLocalOnHeapVectorFixture::new,
+        (Supplier<Iterable<Vector>>)DenseLocalOffHeapVectorFixture::new,
+        (Supplier<Iterable<Vector>>)SparseLocalVectorFixture::new,
+        (Supplier<Iterable<Vector>>)RandomVectorFixture::new,
+        (Supplier<Iterable<Vector>>)ConstantVectorFixture::new,
+        (Supplier<Iterable<Vector>>)DelegatingVectorFixture::new,
+        (Supplier<Iterable<Vector>>)FunctionVectorFixture::new,
+        (Supplier<Iterable<Vector>>)SingleElementVectorFixture::new,
+        (Supplier<Iterable<Vector>>)PivotedVectorViewFixture::new,
+        (Supplier<Iterable<Vector>>)SingleElementVectorViewFixture::new,
+        (Supplier<Iterable<Vector>>)MatrixVectorViewFixture::new,
+        (Supplier<Iterable<Vector>>)SparseLocalOffHeapVectorFixture::new
+    );
+
+    /** */
+    void consumeSampleVectors(Consumer<Integer> paramsConsumer, BiConsumer<Vector, String> consumer) {
+        for (Supplier<Iterable<Vector>> fixtureSupplier : VectorImplementationsFixtures.suppliers) {
+            final Iterable<Vector> fixture = fixtureSupplier.get();
+
+            for (Vector v : fixture) {
+                if (paramsConsumer != null)
+                    paramsConsumer.accept(v.size());
+
+                consumer.accept(v, fixture.toString());
+            }
+        }
+    }
+
+    /** */
+    void selfTest() {
+        new VectorSizesExtraIterator<>("VectorSizesExtraIterator test",
+            (size, shallowCp) -> new DenseLocalOnHeapVector(new double[size], shallowCp),
+            null, "shallow copy", new Boolean[] {false, true, null}).selfTest();
+
+        new VectorSizesIterator("VectorSizesIterator test", DenseLocalOffHeapVector::new, null).selfTest();
+    }
+
+    /** */
+    private static class DenseLocalOnHeapVectorFixture extends VectorSizesExtraFixture<Boolean> {
+        /** */
+        DenseLocalOnHeapVectorFixture() {
+            super("DenseLocalOnHeapVector",
+                (size, shallowCp) -> new DenseLocalOnHeapVector(new double[size], shallowCp),
+                "shallow copy", new Boolean[] {false, true, null});
+        }
+    }
+
+    /** */
+    private static class DenseLocalOffHeapVectorFixture extends VectorSizesFixture {
+        /** */
+        DenseLocalOffHeapVectorFixture() {
+            super("DenseLocalOffHeapVector", DenseLocalOffHeapVector::new);
+        }
+    }
+
+    /** */
+    private static class SparseLocalVectorFixture extends VectorSizesExtraFixture<Integer> {
+        /** */
+        SparseLocalVectorFixture() {
+            super("SparseLocalVector", SparseLocalVector::new, "access mode",
+                new Integer[] {StorageConstants.SEQUENTIAL_ACCESS_MODE, StorageConstants.RANDOM_ACCESS_MODE, null});
+        }
+    }
+
+    /** */
+    private static class RandomVectorFixture extends VectorSizesFixture {
+        /** */
+        RandomVectorFixture() {
+            super("RandomVector", RandomVector::new);
+        }
+    }
+
+    /** */
+    private static class ConstantVectorFixture extends VectorSizesExtraFixture<Double> {
+        /** */
+        ConstantVectorFixture() {
+            super("ConstantVector", ConstantVector::new,
+                "value", new Double[] {-1.0, 0.0, 0.5, 1.0, 2.0, null});
+        }
+    }
+
+    /** */
+    private static class FunctionVectorFixture extends VectorSizesExtraFixture<Double> {
+        /** */
+        FunctionVectorFixture() {
+            super("FunctionVector",
+                (size, scale) -> new FunctionVectorForTest(new double[size], scale),
+                "scale", new Double[] {0.5, 1.0, 2.0, null});
+        }
+    }
+
+    /** */
+    private static class SingleElementVectorFixture implements Iterable<Vector> {
+        /** */
+        private final Supplier<TwoParamsIterator<Integer, Double>> iter;
+
+        /** */
+        private final AtomicReference<String> ctxDescrHolder = new AtomicReference<>("Iterator not started.");
+
+        /** */
+        SingleElementVectorFixture() {
+            iter = () -> new TwoParamsIterator<Integer, Double>("SingleElementVector",
+                null, ctxDescrHolder::set,
+                "size", new Integer[] {1, null},
+                "value", new Double[] {-1.0, 0.0, 0.5, 1.0, 2.0, null}) {
+
+                /** {@inheritDoc} */
+                @Override BiFunction<Integer, Double, Vector> ctor() {
+                    return (size, value) -> new SingleElementVector(size, 0, value);
+                }
+            };
+        }
+
+        /** {@inheritDoc} */
+        @NotNull
+        @Override public Iterator<Vector> iterator() {
+            return iter.get();//(
+        }
+
+        /** {@inheritDoc} */
+        @Override public String toString() {
+            // IMPL NOTE index within bounds is expected to be guaranteed by proper code in this class
+            return ctxDescrHolder.get();
+        }
+    }
+
+    /** */
+    private static class PivotedVectorViewFixture extends VectorSizesFixture {
+        /** */
+        PivotedVectorViewFixture() {
+            super("PivotedVectorView", PivotedVectorViewFixture::pivotedVectorView);
+        }
+
+        /** */
+        private static PivotedVectorView pivotedVectorView(int size) {
+            final DenseLocalOnHeapVector vec = new DenseLocalOnHeapVector(size);
+
+            final int[] pivot = new int[size];
+
+            for (int idx = 0; idx < size; idx++)
+                pivot[idx] = size - 1 - idx;
+
+            PivotedVectorView tmp = new PivotedVectorView(vec, pivot);
+
+            final int[] unpivot = new int[size];
+
+            for (int idx = 0; idx < size; idx++)
+                unpivot[idx] = tmp.unpivot(idx);
+
+            final int[] idxRecovery = new int[size];
+
+            for (int idx = 0; idx < size; idx++)
+                idxRecovery[idx] = idx;
+
+            return new PivotedVectorView(new PivotedVectorView(tmp, unpivot), idxRecovery);
+        }
+    }
+
+    /** */
+    private static class SingleElementVectorViewFixture implements Iterable<Vector> {
+        /** */
+        private final Supplier<TwoParamsIterator<Integer, Double>> iter;
+
+        /** */
+        private final AtomicReference<String> ctxDescrHolder = new AtomicReference<>("Iterator not started.");
+
+        /** */
+        SingleElementVectorViewFixture() {
+            iter = () -> new TwoParamsIterator<Integer, Double>("SingleElementVectorView",
+                null, ctxDescrHolder::set,
+                "size", new Integer[] {1, null},
+                "value", new Double[] {-1.0, 0.0, 0.5, 1.0, 2.0, null}) {
+
+                /** {@inheritDoc} */
+                @Override BiFunction<Integer, Double, Vector> ctor() {
+                    return (size, value) -> new SingleElementVectorView(new SingleElementVector(size, 0, value), 0);
+                }
+            };
+        }
+
+        /** {@inheritDoc} */
+        @NotNull
+        @Override public Iterator<Vector> iterator() {
+            return iter.get();
+        }
+
+        /** {@inheritDoc} */
+        @Override public String toString() {
+            // IMPL NOTE index within bounds is expected to be guaranteed by proper code in this class
+            return ctxDescrHolder.get();
+        }
+    }
+
+    /** */
+    private static class MatrixVectorViewFixture extends VectorSizesExtraFixture<Integer> {
+        /** */
+        MatrixVectorViewFixture() {
+            super("MatrixVectorView",
+                MatrixVectorViewFixture::newView,
+                "stride kind", new Integer[] {0, 1, 2, null});
+        }
+
+        /** */
+        private static Vector newView(int size, int strideKind) {
+            final Matrix parent = new DenseLocalOnHeapMatrix(size, size);
+
+            return new MatrixVectorView(parent, 0, 0, strideKind != 1 ? 1 : 0, strideKind != 0 ? 1 : 0);
+        }
+    }
+
+    /** */
+    private static class VectorSizesExtraFixture<T> implements Iterable<Vector> {
+        /** */
+        private final Supplier<VectorSizesExtraIterator<T>> iter;
+
+        /** */
+        private final AtomicReference<String> ctxDescrHolder = new AtomicReference<>("Iterator not started.");
+
+        /** */
+        VectorSizesExtraFixture(String vectorKind, BiFunction<Integer, T, Vector> ctor, String extraParamName,
+            T[] extras) {
+            iter = () -> new VectorSizesExtraIterator<>(vectorKind, ctor, ctxDescrHolder::set, extraParamName, extras);
+        }
+
+        /** {@inheritDoc} */
+        @NotNull
+        @Override public Iterator<Vector> iterator() {
+            return iter.get();
+        }
+
+        /** {@inheritDoc} */
+        @Override public String toString() {
+            // IMPL NOTE index within bounds is expected to be guaranteed by proper code in this class
+            return ctxDescrHolder.get();
+        }
+    }
+
+    /** */
+    private static abstract class VectorSizesFixture implements Iterable<Vector> {
+        /** */
+        private final Supplier<VectorSizesIterator> iter;
+
+        /** */
+        private final AtomicReference<String> ctxDescrHolder = new AtomicReference<>("Iterator not started.");
+
+        /** */
+        VectorSizesFixture(String vectorKind, Function<Integer, Vector> ctor) {
+            iter = () -> new VectorSizesIterator(vectorKind, ctor, ctxDescrHolder::set);
+        }
+
+        /** {@inheritDoc} */
+        @NotNull
+        @Override public Iterator<Vector> iterator() {
+            return iter.get();
+        }
+
+        /** {@inheritDoc} */
+        @Override public String toString() {
+            // IMPL NOTE index within bounds is expected to be guaranteed by proper code in this class
+            return ctxDescrHolder.get();
+        }
+    }
+
+    /** */
+    private static class VectorSizesExtraIterator<T> extends VectorSizesIterator {
+        /** */
+        private final T[] extras;
+        /** */
+        private int extraIdx = 0;
+        /** */
+        private final BiFunction<Integer, T, Vector> ctor;
+        /** */
+        private final String extraParamName;
+
+        /**
+         * @param vectorKind Descriptive name to use for context logging.
+         * @param ctor Constructor for objects to iterate over.
+         * @param ctxDescrConsumer Context logging consumer.
+         * @param extraParamName Name of extra parameter to iterate over.
+         * @param extras Array of extra parameter values to iterate over.
+         */
+        VectorSizesExtraIterator(String vectorKind, BiFunction<Integer, T, Vector> ctor,
+            Consumer<String> ctxDescrConsumer, String extraParamName, T[] extras) {
+            super(vectorKind, null, ctxDescrConsumer);
+
+            this.ctor = ctor;
+            this.extraParamName = extraParamName;
+            this.extras = extras;
+        }
+
+        /** {@inheritDoc} */
+        @Override public boolean hasNext() {
+            return super.hasNext() && hasNextExtra(extraIdx);
+        }
+
+        /** {@inheritDoc} */
+        @Override void nextIdx() {
+            assert extras[extraIdx] != null
+                : "Index(es) out of bound at " + VectorSizesExtraIterator.this;
+
+            if (hasNextExtra(extraIdx + 1)) {
+                extraIdx++;
+
+                return;
+            }
+
+            extraIdx = 0;
+
+            super.nextIdx();
+        }
+
+        /** {@inheritDoc} */
+        @Override public String toString() {
+            // IMPL NOTE index within bounds is expected to be guaranteed by proper code in this class
+            return "{" + super.toString() +
+                ", " + extraParamName + "=" + extras[extraIdx] +
+                '}';
+        }
+
+        /** {@inheritDoc} */
+        @Override BiFunction<Integer, Integer, Vector> ctor() {
+            return (size, delta) -> ctor.apply(size + delta, extras[extraIdx]);
+        }
+
+        /** */
+        void selfTest() {
+            final Set<Integer> extraIdxs = new HashSet<>();
+
+            int cnt = 0;
+
+            while (hasNext()) {
+                assertNotNull("Expect not null vector at " + this, next());
+
+                if (extras[extraIdx] != null)
+                    extraIdxs.add(extraIdx);
+
+                cnt++;
+            }
+
+            assertEquals("Extra param tested", extraIdxs.size(), extras.length - 1);
+
+            assertEquals("Combinations tested mismatch.",
+                7 * 3 * (extras.length - 1), cnt);
+        }
+
+        /** */
+        private boolean hasNextExtra(int idx) {
+            return extras[idx] != null;
+        }
+    }
+
+    /** */
+    private static class VectorSizesIterator extends TwoParamsIterator<Integer, Integer> {
+        /** */
+        private final Function<Integer, Vector> ctor;
+
+        /** */
+        VectorSizesIterator(String vectorKind, Function<Integer, Vector> ctor, Consumer<String> ctxDescrConsumer) {
+            super(vectorKind, null, ctxDescrConsumer,
+                "size", new Integer[] {2, 4, 8, 16, 32, 64, 128, null},
+                "size delta", new Integer[] {-1, 0, 1, null});
+
+            this.ctor = ctor;
+        }
+
+        /** {@inheritDoc} */
+        @Override BiFunction<Integer, Integer, Vector> ctor() {
+            return (size, delta) -> ctor.apply(size + delta);
+        }
+    }
+
+    /** */
+    private static class TwoParamsIterator<T, U> implements Iterator<Vector> {
+        /** */
+        private final T params1[];
+
+        /** */
+        private final U params2[];
+
+        /** */
+        private final String vectorKind;
+
+        /** */
+        private final String param1Name;
+
+        /** */
+        private final String param2Name;
+
+        /** */
+        private final BiFunction<T, U, Vector> ctor;
+
+        /** */
+        private final Consumer<String> ctxDescrConsumer;
+
+        /** */
+        private int param1Idx = 0;
+
+        /** */
+        private int param2Idx = 0;
+
+        /** */
+        TwoParamsIterator(String vectorKind, BiFunction<T, U, Vector> ctor,
+            Consumer<String> ctxDescrConsumer, String param1Name, T[] params1, String param2Name, U[] params2) {
+            this.param1Name = param1Name;
+            this.params1 = params1;
+
+            this.param2Name = param2Name;
+            this.params2 = params2;
+
+            this.vectorKind = vectorKind;
+
+            this.ctor = ctor;
+
+            this.ctxDescrConsumer = ctxDescrConsumer;
+        }
+
+        /** {@inheritDoc} */
+        @Override public boolean hasNext() {
+            return hasNextParam1(param1Idx) && hasNextParam2(param2Idx);
+        }
+
+        /** {@inheritDoc} */
+        @Override public Vector next() {
+            if (!hasNext())
+                throw new NoSuchElementException(TwoParamsIterator.this.toString());
+
+            if (ctxDescrConsumer != null)
+                ctxDescrConsumer.accept(toString());
+
+            Vector res = ctor().apply(params1[param1Idx], params2[param2Idx]);
+
+            nextIdx();
+
+            return res;
+        }
+
+        /** */
+        void selfTest() {
+            final Set<Integer> sizeIdxs = new HashSet<>(), deltaIdxs = new HashSet<>();
+
+            int cnt = 0;
+
+            while (hasNext()) {
+                assertNotNull("Expect not null vector at " + this, next());
+
+                if (params1[param1Idx] != null)
+                    sizeIdxs.add(param1Idx);
+
+                if (params2[param2Idx] != null)
+                    deltaIdxs.add(param2Idx);
+
+                cnt++;
+            }
+
+            assertEquals("Sizes tested mismatch.", sizeIdxs.size(), params1.length - 1);
+
+            assertEquals("Deltas tested", deltaIdxs.size(), params2.length - 1);
+
+            assertEquals("Combinations tested mismatch.",
+                (params1.length - 1) * (params2.length - 1), cnt);
+        }
+
+        /** IMPL NOTE override in subclasses if needed */
+        void nextIdx() {
+            assert params1[param1Idx] != null && params2[param2Idx] != null
+                : "Index(es) out of bound at " + TwoParamsIterator.this;
+
+            if (hasNextParam2(param2Idx + 1)) {
+                param2Idx++;
+
+                return;
+            }
+
+            param2Idx = 0;
+
+            param1Idx++;
+        }
+
+        /** {@inheritDoc} */
+        @Override public String toString() {
+            // IMPL NOTE index within bounds is expected to be guaranteed by proper code in this class
+            return vectorKind + "{" + param1Name + "=" + params1[param1Idx] +
+                ", " + param2Name + "=" + params2[param2Idx] +
+                '}';
+        }
+
+        /** IMPL NOTE override in subclasses if needed */
+        BiFunction<T, U, Vector> ctor() {
+            return ctor;
+        }
+
+        /** */
+        private boolean hasNextParam1(int idx) {
+            return params1[idx] != null;
+        }
+
+        /** */
+        private boolean hasNextParam2(int idx) {
+            return params2[idx] != null;
+        }
+    }
+
+    /** Delegating vector with dense local onheap vector */
+    private static class DelegatingVectorFixture implements Iterable<Vector> {
+
+        /** */
+        private final Supplier<VectorSizesExtraIterator<Boolean>> iter;
+
+        /** */
+        private final AtomicReference<String> ctxDescrHolder = new AtomicReference<>("Iterator not started.");
+
+        /** */
+        DelegatingVectorFixture() {
+            iter = () -> new VectorSizesExtraIterator<>("DelegatingVector with DenseLocalOnHeapVector",
+                (size, shallowCp) -> new DelegatingVector(new DenseLocalOnHeapVector(new double[size], shallowCp)),
+                ctxDescrHolder::set, "shallow copy", new Boolean[] {false, true, null});
+        }
+
+        /** {@inheritDoc} */
+        @NotNull
+        @Override public Iterator<Vector> iterator() {
+            return iter.get();
+        }
+
+        /** {@inheritDoc} */
+        @Override public String toString() {
+            // IMPL NOTE index within bounds is expected to be guaranteed by proper code in this class
+            return ctxDescrHolder.get();
+        }
+    }
+
+    /** Subclass tweaked for serialization */
+    private static class FunctionVectorForTest extends FunctionVector {
+        /** */
+        double[] arr;
+
+        /** */
+        double scale;
+
+        /** */
+        public FunctionVectorForTest() {
+            // No-op.
+        }
+
+        /** */
+        FunctionVectorForTest(double[] arr, double scale) {
+            super(arr.length, idx -> arr[idx] * scale, (idx, value) -> arr[idx] = value / scale);
+
+            this.arr = arr;
+
+            this.scale = scale;
+        }
+
+        /** {@inheritDoc} */
+        @Override public void writeExternal(ObjectOutput out) throws IOException {
+            super.writeExternal(out);
+
+            out.writeObject(arr);
+
+            out.writeDouble(scale);
+        }
+
+        /** {@inheritDoc} */
+        @Override public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException {
+            super.readExternal(in);
+
+            arr = (double[])in.readObject();
+
+            scale = in.readDouble();
+
+            setStorage(new FunctionVectorStorage(arr.length, idx -> arr[idx] * scale, (idx, value) -> arr[idx] = value / scale));
+        }
+
+        /** {@inheritDoc} */
+        @Override public int hashCode() {
+            int res = 1;
+
+            res = res * 37 + Double.hashCode(scale);
+            res = res * 37 + Integer.hashCode(getStorage().size());
+
+            return res;
+        }
+
+        /** {@inheritDoc} */
+        @Override public boolean equals(Object o) {
+            if (this == o)
+                return true;
+
+            if (o == null || getClass() != o.getClass())
+                return false;
+
+            FunctionVectorForTest that = (FunctionVectorForTest)o;
+
+            return new Double(scale).equals(that.scale)
+                && (arr != null ? Arrays.equals(arr, that.arr) : that.arr == null);
+        }
+    }
+
+    /** */
+    private static class SparseLocalOffHeapVectorFixture extends VectorSizesFixture {
+
+        /** */
+        SparseLocalOffHeapVectorFixture() {
+            super("SparseLocalOffHeapVector", SparseLocalOffHeapVector::new);
+        }
+    }
+}


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