From 03455a3bebc617e09392e6da7ac361040babf67a Mon Sep 17 00:00:00 2001
From: Roland Grinis <roland.grinis@grinisrit.com>
Date: Tue, 30 Mar 2021 14:36:59 +0100
Subject: [PATCH] infix dot forgotten

---
 .../space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt  | 2 +-
 .../kotlin/space/kscience/kmath/tensors/core/linutils.kt      | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index c878fc58c..965aef1ea 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -229,7 +229,7 @@ public open class DoubleTensorAlgebra : TensorPartialDivisionAlgebra<Double, Dou
         return this.view(other.shape)
     }
 
-    override fun DoubleTensor.dot(other: DoubleTensor): DoubleTensor {
+    override infix fun DoubleTensor.dot(other: DoubleTensor): DoubleTensor {
         if (this.shape.size == 1 && other.shape.size == 1) {
             return DoubleTensor(intArrayOf(1), doubleArrayOf(this.times(other).buffer.array().sum()))
         }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/linutils.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/linutils.kt
index 4067de5f4..f6cf71b07 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/linutils.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/linutils.kt
@@ -203,14 +203,14 @@ internal inline fun DoubleLinearOpsTensorAlgebra.qrHelper(
         val vv = v.as1D()
         if (j > 0) {
             for (i in 0 until j) {
-                r[i, j] = qT[i].dot(matrixT[j]).value()
+                r[i, j] = (qT[i] dot matrixT[j]).value()
                 for (k in 0 until n) {
                     val qTi = qT[i].as1D()
                     vv[k] = vv[k] - r[i, j] * qTi[k]
                 }
             }
         }
-        r[j, j] = DoubleAnalyticTensorAlgebra { v.dot(v).sqrt().value() }
+        r[j, j] = DoubleAnalyticTensorAlgebra { (v dot v).sqrt().value() }
         for (i in 0 until n) {
             qM[i, j] = vv[i] / r[j, j]
         }