From 078686a04660e78b9929d2ed9a3c61f3fa888e62 Mon Sep 17 00:00:00 2001
From: Andrei Kislitsyn <kisandy@yandex.ru>
Date: Tue, 23 Mar 2021 15:59:55 +0300
Subject: [PATCH 1/2] hotfix sequence

---
 .../space/kscience/kmath/tensors/core/BufferedTensor.kt   | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
index 4f5e1f9f0..160c61260 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
@@ -34,7 +34,8 @@ public open class BufferedTensor<T>(
 
     public fun vectorSequence(): Sequence<MutableStructure1D<T>> = sequence {
         check(shape.size >= 1) {"todo"}
-        val vectorOffset = linearStructure.strides[0]
+        val n = shape.size
+        val vectorOffset = shape[n - 1]
         val vectorShape = intArrayOf(shape.last())
         for (offset in 0 until numel step vectorOffset) {
             val vector = BufferedTensor<T>(vectorShape, buffer, offset).as1D()
@@ -44,8 +45,9 @@ public open class BufferedTensor<T>(
 
     public fun matrixSequence(): Sequence<MutableStructure2D<T>> = sequence {
         check(shape.size >= 2) {"todo"}
-        val matrixOffset = linearStructure.strides[1]
-        val matrixShape = intArrayOf(shape[shape.size - 2], shape.last()) //todo better way?
+        val n = shape.size
+        val matrixOffset = shape[n - 1] * shape[n - 2]
+        val matrixShape = intArrayOf(shape[n - 2], shape[n - 1]) //todo better way?
         for (offset in 0 until numel step matrixOffset) {
             val matrix = BufferedTensor<T>(matrixShape, buffer, offset).as2D()
             yield(matrix)

From e01ca38fb3a7b05037582f561298928be552100e Mon Sep 17 00:00:00 2001
From: Roland Grinis <roland.grinis@grinisrit.com>
Date: Tue, 23 Mar 2021 13:51:52 +0000
Subject: [PATCH 2/2] Tasks for Andrei and Alya

---
 .../kmath/tensors/core/DoubleLinearOpsTensorAlgebra.kt    | 8 ++++----
 .../kscience/kmath/tensors/core/DoubleTensorAlgebra.kt    | 2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleLinearOpsTensorAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleLinearOpsTensorAlgebra.kt
index e0abc49b7..8a16a991d 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleLinearOpsTensorAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleLinearOpsTensorAlgebra.kt
@@ -8,7 +8,7 @@ public class DoubleLinearOpsTensorAlgebra :
     DoubleTensorAlgebra() {
 
     override fun DoubleTensor.inv(): DoubleTensor {
-        TODO("Not yet implemented")
+        TODO("ANDREI")
     }
 
     override fun DoubleTensor.lu(tol: Double): Pair<DoubleTensor, IntTensor> {
@@ -135,16 +135,16 @@ public class DoubleLinearOpsTensorAlgebra :
     }
 
     override fun DoubleTensor.qr(): DoubleTensor {
-        TODO("Not yet implemented")
+        TODO("ANDREI")
     }
 
 
     override fun DoubleTensor.svd(): Triple<DoubleTensor, DoubleTensor, DoubleTensor> {
-        TODO("Not yet implemented")
+        TODO("ALYA")
     }
 
     override fun DoubleTensor.symEig(eigenvectors: Boolean): Pair<DoubleTensor, DoubleTensor> {
-        TODO("Not yet implemented")
+        TODO("ANDREI")
     }
 
 }
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 67b50970b..c67687a09 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
@@ -262,7 +262,7 @@ public open class DoubleTensorAlgebra : TensorPartialDivisionAlgebra<Double, Dou
     }
 
     override fun DoubleTensor.det(): DoubleTensor {
-        TODO("Not yet implemented")
+        TODO("ANDREI")
     }
 
     override fun DoubleTensor.square(): DoubleTensor {