Github user mengxr commented on a diff in the pull request: https://github.com/apache/spark/pull/2294#discussion_r17709103 --- 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) --- End diff -- `colPtrs`
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