From f8c55328a485cf7ddb74cffb814b7f5ffaf3f0ea Mon Sep 17 00:00:00 2001 From: Margarita Date: Tue, 22 Mar 2022 21:12:39 +0300 Subject: [PATCH] added more examples for tensors, added tests for acos, asin, atanh --- .../core/TestDoubleAnalyticTensorAlgebra.kt | 219 ++++++++++++++---- 1 file changed, 179 insertions(+), 40 deletions(-) diff --git a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleAnalyticTensorAlgebra.kt b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleAnalyticTensorAlgebra.kt index 1e21379b4..b9f4ebd96 100644 --- a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleAnalyticTensorAlgebra.kt +++ b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleAnalyticTensorAlgebra.kt @@ -12,110 +12,250 @@ import kotlin.test.assertTrue internal class TestDoubleAnalyticTensorAlgebra { - val shape = intArrayOf(2, 1, 3, 2) - val buffer = doubleArrayOf( - 27.1, 20.0, 19.84, - 23.123, 3.0, 2.0, + val shapeWithNegative = intArrayOf(4) + val bufferWithNegative = doubleArrayOf(9.3348, -7.5889, -1.2005, 1.1584) + val tensorWithNegative = DoubleTensor(shapeWithNegative, bufferWithNegative) - 3.23, 133.7, 25.3, - 100.3, 11.0, 12.012 - ) - val tensor = DoubleTensor(shape, buffer) + val shape1 = intArrayOf(4) + val buffer1 = doubleArrayOf(1.3348, 1.5889, 1.2005, 1.1584) + val tensor1 = DoubleTensor(shape1, buffer1) + + val shape2 = intArrayOf(2, 2) + val buffer2 = doubleArrayOf(1.0, 9.456, 3.0, 4.0) + val tensor2 = DoubleTensor(shape2, buffer2) + + val shape3 = intArrayOf(2, 3, 2) + val buffer3 = doubleArrayOf(1.0, 9.456, 7.0, 2.123, 1.0, 9.456, 30.8888, 6.0, 1.0, 9.456, 3.0, 4.99) + val tensor3 = DoubleTensor(shape3, buffer3) + + val shape4 = intArrayOf(2, 1, 3, 2) + val buffer4 = doubleArrayOf(27.1, 20.0, 19.84, 23.123, 3.0, 2.0, 3.23, 133.7, 25.3, 100.3, 11.0, 12.012) + val tensor4 = DoubleTensor(shape4, buffer4) + + val bufferWithNegativeMod1 = bufferWithNegative.map { x -> x % 1 }.toDoubleArray() + val tensorWithNegativeMod1 = DoubleTensor(shapeWithNegative, bufferWithNegativeMod1) + + val buffer1Mod1 = buffer1.map { x -> x % 1 }.toDoubleArray() + val tensor1Mod1 = DoubleTensor(shape1, buffer1Mod1) + + val buffer2Mod1 = buffer2.map { x -> x % 1 }.toDoubleArray() + val tensor2Mod1 = DoubleTensor(shape2, buffer2Mod1) + + val buffer3Mod1 = buffer3.map { x -> x % 1 }.toDoubleArray() + val tensor3Mod1 = DoubleTensor(shape3, buffer3Mod1) + + val buffer4Mod1 = buffer4.map { x -> x % 1 }.toDoubleArray() + val tensor4Mod1 = DoubleTensor(shape4, buffer4Mod1) fun DoubleArray.fmap(transform: (Double) -> Double): DoubleArray { return this.map(transform).toDoubleArray() } - fun expectedTensor(transform: (Double) -> Double): DoubleTensor { - return DoubleTensor(shape, buffer.fmap(transform)) + fun expectedTensorWithNegative(transform: (Double) -> Double): DoubleTensor { + return DoubleTensor(shapeWithNegative, bufferWithNegative.fmap(transform)) + } + + fun expectedTensor1(transform: (Double) -> Double): DoubleTensor { + return DoubleTensor(shape1, buffer1.fmap(transform)) + } + + fun expectedTensor2(transform: (Double) -> Double): DoubleTensor { + return DoubleTensor(shape2, buffer2.fmap(transform)) + } + + fun expectedTensor3(transform: (Double) -> Double): DoubleTensor { + return DoubleTensor(shape3, buffer3.fmap(transform)) + } + + fun expectedTensor4(transform: (Double) -> Double): DoubleTensor { + return DoubleTensor(shape4, buffer4.fmap(transform)) + } + + fun expectedTensorWithNegativeMod1(transform: (Double) -> Double): DoubleTensor { + return DoubleTensor(shapeWithNegative, bufferWithNegativeMod1.fmap(transform)) + } + + fun expectedTensor1Mod1(transform: (Double) -> Double): DoubleTensor { + return DoubleTensor(shape1, buffer1Mod1.fmap(transform)) + } + + fun expectedTensor2Mod1(transform: (Double) -> Double): DoubleTensor { + return DoubleTensor(shape2, buffer2Mod1.fmap(transform)) + } + + fun expectedTensor3Mod1(transform: (Double) -> Double): DoubleTensor { + return DoubleTensor(shape3, buffer3Mod1.fmap(transform)) + } + + fun expectedTensor4Mod1(transform: (Double) -> Double): DoubleTensor { + return DoubleTensor(shape4, buffer4Mod1.fmap(transform)) } @Test fun testExp() = DoubleTensorAlgebra { - assertTrue { tensor.exp() eq expectedTensor(::exp) } + assertTrue { tensorWithNegative.exp() eq expectedTensorWithNegative(::exp) } + assertTrue { tensor1.exp() eq expectedTensor1(::exp) } + assertTrue { tensor2.exp() eq expectedTensor2(::exp) } + assertTrue { tensor3.exp() eq expectedTensor3(::exp) } + assertTrue { tensor4.exp() eq expectedTensor4(::exp) } } @Test fun testLog() = DoubleTensorAlgebra { - assertTrue { tensor.ln() eq expectedTensor(::ln) } + assertTrue { tensor1.ln() eq expectedTensor1(::ln) } + assertTrue { tensor2.ln() eq expectedTensor2(::ln) } + assertTrue { tensor3.ln() eq expectedTensor3(::ln) } + assertTrue { tensor4.ln() eq expectedTensor4(::ln) } } @Test fun testSqrt() = DoubleTensorAlgebra { - assertTrue { tensor.sqrt() eq expectedTensor(::sqrt) } + assertTrue { tensor1.sqrt() eq expectedTensor1(::sqrt) } + assertTrue { tensor2.sqrt() eq expectedTensor2(::sqrt) } + assertTrue { tensor3.sqrt() eq expectedTensor3(::sqrt) } + assertTrue { tensor4.sqrt() eq expectedTensor4(::sqrt) } } @Test fun testCos() = DoubleTensorAlgebra { - assertTrue { tensor.cos() eq expectedTensor(::cos) } + assertTrue { tensorWithNegative.cos() eq expectedTensorWithNegative(::cos) } + assertTrue { tensor1.cos() eq expectedTensor1(::cos) } + assertTrue { tensor2.cos() eq expectedTensor2(::cos) } + assertTrue { tensor3.cos() eq expectedTensor3(::cos) } + assertTrue { tensor4.cos() eq expectedTensor4(::cos) } } + @Test + fun testAcos() = DoubleTensorAlgebra { + assertTrue { tensorWithNegativeMod1.acos() eq expectedTensorWithNegativeMod1(::acos) } + assertTrue { tensor1Mod1.acos() eq expectedTensor1Mod1(::acos) } + assertTrue { tensor2Mod1.acos() eq expectedTensor2Mod1(::acos) } + assertTrue { tensor3Mod1.acos() eq expectedTensor3Mod1(::acos) } + assertTrue { tensor4Mod1.acos() eq expectedTensor4Mod1(::acos) } + } @Test fun testCosh() = DoubleTensorAlgebra { - assertTrue { tensor.cosh() eq expectedTensor(::cosh) } + assertTrue { tensorWithNegative.cosh() eq expectedTensorWithNegative(::cosh) } + assertTrue { tensor1.cosh() eq expectedTensor1(::cosh) } + assertTrue { tensor2.cosh() eq expectedTensor2(::cosh) } + assertTrue { tensor3.cosh() eq expectedTensor3(::cosh) } + assertTrue { tensor4.cosh() eq expectedTensor4(::cosh) } } @Test fun testAcosh() = DoubleTensorAlgebra { - assertTrue { tensor.acosh() eq expectedTensor(::acosh) } + assertTrue { tensor1.acosh() eq expectedTensor1(::acosh) } + assertTrue { tensor2.acosh() eq expectedTensor2(::acosh) } + assertTrue { tensor3.acosh() eq expectedTensor3(::acosh) } + assertTrue { tensor4.acosh() eq expectedTensor4(::acosh) } } @Test fun testSin() = DoubleTensorAlgebra { - assertTrue { tensor.sin() eq expectedTensor(::sin) } + assertTrue { tensorWithNegative.sin() eq expectedTensorWithNegative(::sin) } + assertTrue { tensor1.sin() eq expectedTensor1(::sin) } + assertTrue { tensor2.sin() eq expectedTensor2(::sin) } + assertTrue { tensor3.sin() eq expectedTensor3(::sin) } + assertTrue { tensor4.sin() eq expectedTensor4(::sin) } + } + + @Test + fun testAsin() = DoubleTensorAlgebra { + assertTrue { tensorWithNegativeMod1.asin() eq expectedTensorWithNegativeMod1(::asin) } + assertTrue { tensor1Mod1.asin() eq expectedTensor1Mod1(::asin) } + assertTrue { tensor2Mod1.asin() eq expectedTensor2Mod1(::asin) } + assertTrue { tensor3Mod1.asin() eq expectedTensor3Mod1(::asin) } + assertTrue { tensor4Mod1.asin() eq expectedTensor4Mod1(::asin) } } @Test fun testSinh() = DoubleTensorAlgebra { - assertTrue { tensor.sinh() eq expectedTensor(::sinh) } + assertTrue { tensorWithNegative.sinh() eq expectedTensorWithNegative(::sinh) } + assertTrue { tensor1.sinh() eq expectedTensor1(::sinh) } + assertTrue { tensor2.sinh() eq expectedTensor2(::sinh) } + assertTrue { tensor3.sinh() eq expectedTensor3(::sinh) } + assertTrue { tensor4.sinh() eq expectedTensor4(::sinh) } } @Test fun testAsinh() = DoubleTensorAlgebra { - assertTrue { tensor.asinh() eq expectedTensor(::asinh) } + assertTrue { tensorWithNegative.asinh() eq expectedTensorWithNegative(::asinh) } + assertTrue { tensor1.asinh() eq expectedTensor1(::asinh) } + assertTrue { tensor2.asinh() eq expectedTensor2(::asinh) } + assertTrue { tensor3.asinh() eq expectedTensor3(::asinh) } + assertTrue { tensor4.asinh() eq expectedTensor4(::asinh) } } @Test fun testTan() = DoubleTensorAlgebra { - assertTrue { tensor.tan() eq expectedTensor(::tan) } + assertTrue { tensorWithNegative.tan() eq expectedTensorWithNegative(::tan) } + assertTrue { tensor1.tan() eq expectedTensor1(::tan) } + assertTrue { tensor2.tan() eq expectedTensor2(::tan) } + assertTrue { tensor3.tan() eq expectedTensor3(::tan) } + assertTrue { tensor4.tan() eq expectedTensor4(::tan) } } @Test fun testAtan() = DoubleTensorAlgebra { - assertTrue { tensor.atan() eq expectedTensor(::atan) } + assertTrue { tensorWithNegative.atan() eq expectedTensorWithNegative(::atan) } + assertTrue { tensor1.atan() eq expectedTensor1(::atan) } + assertTrue { tensor2.atan() eq expectedTensor2(::atan) } + assertTrue { tensor3.atan() eq expectedTensor3(::atan) } + assertTrue { tensor4.atan() eq expectedTensor4(::atan) } } @Test fun testTanh() = DoubleTensorAlgebra { - assertTrue { tensor.tanh() eq expectedTensor(::tanh) } + assertTrue { tensorWithNegative.tanh() eq expectedTensorWithNegative(::tanh) } + assertTrue { tensor1.tanh() eq expectedTensor1(::tanh) } + assertTrue { tensor2.tanh() eq expectedTensor2(::tanh) } + assertTrue { tensor3.tanh() eq expectedTensor3(::tanh) } + assertTrue { tensor4.tanh() eq expectedTensor4(::tanh) } + } + + @Test + fun testAtanh() = DoubleTensorAlgebra { + assertTrue { tensorWithNegativeMod1.atanh() eq expectedTensorWithNegativeMod1(::atanh) } + assertTrue { tensor1Mod1.atanh() eq expectedTensor1Mod1(::atanh) } + assertTrue { tensor2Mod1.atanh() eq expectedTensor2Mod1(::atanh) } + assertTrue { tensor3Mod1.atanh() eq expectedTensor3Mod1(::atanh) } + assertTrue { tensor4Mod1.atanh() eq expectedTensor4Mod1(::atanh) } } @Test fun testCeil() = DoubleTensorAlgebra { - assertTrue { tensor.ceil() eq expectedTensor(::ceil) } + assertTrue { tensorWithNegative.ceil() eq expectedTensorWithNegative(::ceil) } + assertTrue { tensor1.ceil() eq expectedTensor1(::ceil) } + assertTrue { tensor2.ceil() eq expectedTensor2(::ceil) } + assertTrue { tensor3.ceil() eq expectedTensor3(::ceil) } + assertTrue { tensor4.ceil() eq expectedTensor4(::ceil) } } @Test fun testFloor() = DoubleTensorAlgebra { - assertTrue { tensor.floor() eq expectedTensor(::floor) } + assertTrue { tensorWithNegative.floor() eq expectedTensorWithNegative(::floor) } + assertTrue { tensor1.floor() eq expectedTensor1(::floor) } + assertTrue { tensor2.floor() eq expectedTensor2(::floor) } + assertTrue { tensor3.floor() eq expectedTensor3(::floor) } + assertTrue { tensor4.floor() eq expectedTensor4(::floor) } } - val shape2 = intArrayOf(2, 2) - val buffer2 = doubleArrayOf( + val shape5 = intArrayOf(2, 2) + val buffer5 = doubleArrayOf( 1.0, 2.0, -3.0, 4.0 ) - val tensor2 = DoubleTensor(shape2, buffer2) + val tensor5 = DoubleTensor(shape5, buffer5) @Test fun testMin() = DoubleTensorAlgebra { - assertTrue { tensor2.min() == -3.0 } - assertTrue { tensor2.min(0, true) eq fromArray( + assertTrue { tensor5.min() == -3.0 } + assertTrue { tensor5.min(0, true) eq fromArray( intArrayOf(1, 2), doubleArrayOf(-3.0, 2.0) )} - assertTrue { tensor2.min(1, false) eq fromArray( + assertTrue { tensor5.min(1, false) eq fromArray( intArrayOf(2), doubleArrayOf(1.0, -3.0) )} @@ -123,12 +263,12 @@ internal class TestDoubleAnalyticTensorAlgebra { @Test fun testMax() = DoubleTensorAlgebra { - assertTrue { tensor2.max() == 4.0 } - assertTrue { tensor2.max(0, true) eq fromArray( + assertTrue { tensor5.max() == 4.0 } + assertTrue { tensor5.max(0, true) eq fromArray( intArrayOf(1, 2), doubleArrayOf(1.0, 4.0) )} - assertTrue { tensor2.max(1, false) eq fromArray( + assertTrue { tensor5.max(1, false) eq fromArray( intArrayOf(2), doubleArrayOf(2.0, 4.0) )} @@ -136,12 +276,12 @@ internal class TestDoubleAnalyticTensorAlgebra { @Test fun testSum() = DoubleTensorAlgebra { - assertTrue { tensor2.sum() == 4.0 } - assertTrue { tensor2.sum(0, true) eq fromArray( + assertTrue { tensor5.sum() == 4.0 } + assertTrue { tensor5.sum(0, true) eq fromArray( intArrayOf(1, 2), doubleArrayOf(-2.0, 6.0) )} - assertTrue { tensor2.sum(1, false) eq fromArray( + assertTrue { tensor5.sum(1, false) eq fromArray( intArrayOf(2), doubleArrayOf(3.0, 1.0) )} @@ -149,15 +289,14 @@ internal class TestDoubleAnalyticTensorAlgebra { @Test fun testMean() = DoubleTensorAlgebra { - assertTrue { tensor2.mean() == 1.0 } - assertTrue { tensor2.mean(0, true) eq fromArray( + assertTrue { tensor5.mean() == 1.0 } + assertTrue { tensor5.mean(0, true) eq fromArray( intArrayOf(1, 2), doubleArrayOf(-1.0, 3.0) )} - assertTrue { tensor2.mean(1, false) eq fromArray( + assertTrue { tensor5.mean(1, false) eq fromArray( intArrayOf(2), doubleArrayOf(1.5, 0.5) )} } - }