diff options
Diffstat (limited to 'mllib/src')
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala | 8 | ||||
-rw-r--r-- | mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala | 8 |
2 files changed, 8 insertions, 8 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala b/mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala index cfed9ad073..8ba6e4e78d 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala @@ -296,8 +296,8 @@ class DenseMatrix @Since("1.3.0") ( override def apply(i: Int, j: Int): Double = values(index(i, j)) private[mllib] def index(i: Int, j: Int): Int = { - require(i < numRows && i >=0, s"Expected 0 <= i < $numRows, got $i") - require(j < numCols && j >=0, s"Expected 0 <= j < $numCols, got $j") + require(i >= 0 && i < numRows, s"Expected 0 <= i < $numRows, got i = $i.") + require(j >= 0 && j < numCols, s"Expected 0 <= j < $numCols, got j = $j.") if (!isTransposed) i + numRows * j else j + numCols * i } @@ -572,8 +572,8 @@ class SparseMatrix @Since("1.3.0") ( } private[mllib] def index(i: Int, j: Int): Int = { - require(i < numRows && i >=0, s"Expected 0 <= i < $numRows, got $i") - require(j < numCols && j >=0, s"Expected 0 <= j < $numCols, got $j") + require(i >= 0 && i < numRows, s"Expected 0 <= i < $numRows, got i = $i.") + require(j >= 0 && j < numCols, s"Expected 0 <= j < $numCols, got j = $j.") if (!isTransposed) { Arrays.binarySearch(rowIndices, colPtrs(j), colPtrs(j + 1), i) } else { diff --git a/mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala index b0071c9a02..1833cf3833 100644 --- a/mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala +++ b/mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala @@ -78,10 +78,10 @@ class MatricesSuite extends SparkFunSuite { val sm = Matrices.sparse(3, 2, Array(0, 2, 3), Array(1, 2, 1), Array(0.0, 1.0, 2.0)) val dm = Matrices.dense(3, 2, Array(0.0, 2.3, 1.4, 3.2, 1.0, 9.1)) Array(sm, dm).foreach { mat => - intercept[IllegalArgumentException] { mat.index(4, 1) } - intercept[IllegalArgumentException] { mat.index(1, 4) } - intercept[IllegalArgumentException] { mat.index(-1, 2) } - intercept[IllegalArgumentException] { mat.index(1, -2) } + intercept[IllegalArgumentException] { mat.index(4, 1) } + intercept[IllegalArgumentException] { mat.index(1, 4) } + intercept[IllegalArgumentException] { mat.index(-1, 2) } + intercept[IllegalArgumentException] { mat.index(1, -2) } } } |