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/*
* 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.spark.ml.linalg
import breeze.linalg.{CSCMatrix => BSM, DenseMatrix => BDM}
import org.apache.spark.ml.SparkMLFunSuite
class BreezeMatrixConversionSuite extends SparkMLFunSuite {
test("dense matrix to breeze") {
val mat = Matrices.dense(3, 2, Array(0.0, 1.0, 2.0, 3.0, 4.0, 5.0))
val breeze = mat.toBreeze.asInstanceOf[BDM[Double]]
assert(breeze.rows === mat.numRows)
assert(breeze.cols === mat.numCols)
assert(breeze.data.eq(mat.asInstanceOf[DenseMatrix].values), "should not copy data")
}
test("dense breeze matrix to matrix") {
val breeze = new BDM[Double](3, 2, Array(0.0, 1.0, 2.0, 3.0, 4.0, 5.0))
val mat = Matrices.fromBreeze(breeze).asInstanceOf[DenseMatrix]
assert(mat.numRows === breeze.rows)
assert(mat.numCols === breeze.cols)
assert(mat.values.eq(breeze.data), "should not copy data")
// transposed matrix
val matTransposed = Matrices.fromBreeze(breeze.t).asInstanceOf[DenseMatrix]
assert(matTransposed.numRows === breeze.cols)
assert(matTransposed.numCols === breeze.rows)
assert(matTransposed.values.eq(breeze.data), "should not copy data")
}
test("sparse matrix to breeze") {
val values = Array(1.0, 2.0, 4.0, 5.0)
val colPtrs = Array(0, 2, 4)
val rowIndices = Array(1, 2, 1, 2)
val mat = Matrices.sparse(3, 2, colPtrs, rowIndices, values)
val breeze = mat.toBreeze.asInstanceOf[BSM[Double]]
assert(breeze.rows === mat.numRows)
assert(breeze.cols === mat.numCols)
assert(breeze.data.eq(mat.asInstanceOf[SparseMatrix].values), "should not copy data")
}
test("sparse breeze matrix to sparse matrix") {
val values = Array(1.0, 2.0, 4.0, 5.0)
val colPtrs = Array(0, 2, 4)
val rowIndices = Array(1, 2, 1, 2)
val breeze = new BSM[Double](values, 3, 2, colPtrs, rowIndices)
val mat = Matrices.fromBreeze(breeze).asInstanceOf[SparseMatrix]
assert(mat.numRows === breeze.rows)
assert(mat.numCols === breeze.cols)
assert(mat.values.eq(breeze.data), "should not copy data")
val matTransposed = Matrices.fromBreeze(breeze.t).asInstanceOf[SparseMatrix]
assert(matTransposed.numRows === breeze.cols)
assert(matTransposed.numCols === breeze.rows)
assert(!matTransposed.values.eq(breeze.data), "has to copy data")
}
}
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