Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/2294#discussion_r17709106
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala ---
@@ -36,4 +36,79 @@ class MatricesSuite extends FunSuite {
Matrices.dense(3, 2, Array(0.0, 1.0, 2.0))
}
}
+
+ test("sparse matrix construction") {
+ val m = 3
+ val n = 2
+ val values = Array(1.0, 2.0, 4.0, 5.0)
+ val colIndices = Array(0, 2, 4)
+ val rowIndices = Array(1, 2, 1, 2)
+ val mat = Matrices.sparse(m, n, colIndices, rowIndices,
values).asInstanceOf[SparseMatrix]
+ assert(mat.numRows === m)
+ assert(mat.numCols === n)
+ assert(mat.values.eq(values), "should not copy data")
+ }
+
+ test("sparse matrix construction with wrong number of elements") {
+ intercept[RuntimeException] {
+ Matrices.sparse(3, 2, Array(0, 1), Array(1, 2, 1), Array(0.0, 1.0,
2.0))
+ }
+
+ intercept[RuntimeException] {
+ Matrices.sparse(3, 2, Array(0, 1, 2), Array(1, 2), Array(0.0, 1.0,
2.0))
+ }
+ }
+
+ test("matrix copies are deep copies") {
+ val m = 3
+ val n = 2
+
+ val denseMat = Matrices.dense(m, n, Array(0.0, 1.0, 2.0, 3.0, 4.0,
5.0))
+ val denseCopy = denseMat.copy
+
+ assert(!denseMat.toArray.eq(denseCopy.toArray))
+
+ val values = Array(1.0, 2.0, 4.0, 5.0)
+ val colIndices = Array(0, 2, 4)
+ val rowIndices = Array(1, 2, 1, 2)
+ val sparseMat = Matrices.sparse(m, n, colIndices, rowIndices, values)
+ val sparseCopy = sparseMat.copy
+
+ assert(!sparseMat.toArray.eq(sparseCopy.toArray))
+ }
+
+ test("matrix indexing and updating") {
+ val m = 3
+ val n = 2
+ val allValues = Array(0.0, 1.0, 2.0, 3.0, 4.0, 0.0)
+
+ val denseMat = new DenseMatrix(m, n, allValues)
+
+ assert(denseMat(0, 1) == 3.0)
+ assert(denseMat(0, 1) == denseMat.values(3))
+ assert(denseMat(0, 1) == denseMat(3))
+ assert(denseMat(0, 0) == 0.0)
+
+ denseMat.update(0, 0, 10.0)
+ assert(denseMat(0, 0) == 10.0)
+ assert(denseMat.values(0) == 10.0)
+
+ val sparseValues = Array(1.0, 2.0, 3.0, 4.0)
+ val colIndices = Array(0, 2, 4)
+ val rowIndices = Array(1, 2, 0, 1)
+ val sparseMat = new SparseMatrix(m, n, colIndices, rowIndices,
sparseValues)
+
+ assert(sparseMat(0, 1) == 3.0)
+ assert(sparseMat(0, 1) == sparseMat.values(2))
+ assert(sparseMat(0, 1) == sparseMat(2))
+ assert(sparseMat(0, 0) == 0.0)
+
+ intercept[IllegalArgumentException] {
+ sparseMat.update(0, 0, 10.0)
+ }
+
+ sparseMat.update(0, 1, 10.0)
+ assert(sparseMat(0, 1) == 10.0)
--- End diff --
`==` -> `===` (please update others as well)
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