diff --git a/src/Examples/MatmulExample/MatmulExample.csproj b/src/Examples/MatmulExample/MatmulExample.csproj index 29065e7..0e842bf 100644 --- a/src/Examples/MatmulExample/MatmulExample.csproj +++ b/src/Examples/MatmulExample/MatmulExample.csproj @@ -6,7 +6,7 @@ - + diff --git a/src/Numpy.Bare/Numpy.Bare.csproj b/src/Numpy.Bare/Numpy.Bare.csproj index e0f2068..b1c5c8f 100644 --- a/src/Numpy.Bare/Numpy.Bare.csproj +++ b/src/Numpy.Bare/Numpy.Bare.csproj @@ -14,7 +14,7 @@ https://github.com/SciSharp/Numpy.NET Data science, Machine Learning, AI, Scientific Computing, NumPy, Linear Algebra, FFT, SVD, Matrix, Python https://github.com/SciSharp/Numpy.NET/blob/master/LICENSE - 3.7.1.28 + 3.11.1.33 https://github.com/SciSharp/Numpy.NET/blob/master/doc/img/numpy.net.icon128.png?raw=true 3.7.1.4 @@ -86,8 +86,8 @@ - - + + diff --git a/src/Numpy/Manual/np.math.cs b/src/Numpy/Manual/np.math.cs index f19412e..9c75d80 100644 --- a/src/Numpy/Manual/np.math.cs +++ b/src/Numpy/Manual/np.math.cs @@ -1,6 +1,7 @@ using System; using System.Collections.Generic; using System.Linq; +using System.Numerics; using System.Runtime.InteropServices; using System.Text; using Numpy; @@ -165,5 +166,97 @@ public static NDarray gradient(NDarray f, List varargs, int? edge_order return ToCsharp(py); } + /// + /// One-dimensional linear interpolation.

+ /// + /// Returns the one-dimensional piecewise linear interpolant to a function + /// with given discrete data points (xp, fp), evaluated at x.

+ /// + /// Notes + /// + /// Does not check that the x-coordinate sequence xp is increasing.

+ /// + /// If xp is not increasing, the results are nonsense.

+ /// + /// A simple check for increasing is: + /// + /// + /// The x-coordinates at which to evaluate the interpolated values. + /// + /// + /// The x-coordinates of the data points, must be increasing if argument + /// period is not specified.

+ /// Otherwise, xp is internally sorted after + /// normalizing the periodic boundaries with xp = xp % period. + /// + /// + /// The y-coordinates of the data points, same length as xp. + /// + /// + /// Value to return for x < xp[0], default is fp[0]. + /// + /// + /// Value to return for x > xp[-1], default is fp[-1]. + /// + /// + /// A period for the x-coordinates.

+ /// This parameter allows the proper + /// interpolation of angular x-coordinates.

+ /// Parameters left and right + /// are ignored if period is specified. + /// + /// + /// The interpolated values, same shape as x. + /// + public static NDarray interp(this NDarray x, IReadOnlyCollection xp, IReadOnlyCollection fp, float? left = null, float? right = null, float? period = null) + { + var __self__ = self; + var pyargs = ToTuple(new object[] + { + x, + xp, + fp, + }); + var kwargs = new PyDict(); + if (left != null) kwargs["left"] = ToPython(left); + if (right != null) kwargs["right"] = ToPython(right); + if (period != null) kwargs["period"] = ToPython(period); + dynamic py = __self__.InvokeMethod("interp", pyargs, kwargs); + return ToCsharp(py); + } + + public static float interp(float x, IReadOnlyCollection xp, IReadOnlyCollection fp, float? left = null, float? right = null, float? period = null) + { + var __self__ = self; + var pyargs = ToTuple(new object[] + { + x, + xp, + fp, + }); + var kwargs = new PyDict(); + if (left != null) kwargs["left"] = ToPython(left); + if (right != null) kwargs["right"] = ToPython(right); + if (period != null) kwargs["period"] = ToPython(period); + dynamic py = __self__.InvokeMethod("interp", pyargs, kwargs); + return ToCsharp(py); + } + + public static NDarray interp(this NDarray x, IReadOnlyCollection xp, Complex[] fp, Complex? left = null, Complex? right = null, float? period = null) + { + var __self__ = self; + var pyargs = ToTuple(new object[] + { + x, + xp, + np.array(fp), + }); + var kwargs = new PyDict(); + if (left != null) kwargs["left"] = ToPython(left); + if (right != null) kwargs["right"] = ToPython(right); + if (period != null) kwargs["period"] = ToPython(period); + dynamic py = __self__.InvokeMethod("interp", pyargs, kwargs); + return ToCsharp(py); + } } } diff --git a/src/Numpy/Models/NDarray.Operators.cs b/src/Numpy/Models/NDarray.Operators.cs index ad67654..b54d4e7 100644 --- a/src/Numpy/Models/NDarray.Operators.cs +++ b/src/Numpy/Models/NDarray.Operators.cs @@ -289,6 +289,14 @@ public NDarray pow(ValueType obj) return new NDarray(a.self.InvokeMethod("__and__", obj.ToPython())); } + /// + /// Return self&value. + /// + public static NDarray operator &(NDarray a, NDarray b) + { + return new NDarray(a.self.InvokeMethod("__and__", b.self)); + } + /// /// Return self|value. /// @@ -297,6 +305,14 @@ public NDarray pow(ValueType obj) return new NDarray(a.self.InvokeMethod("__or__", obj.ToPython())); } + /// + /// Return self|value. + /// + public static NDarray operator |(NDarray a, NDarray b) + { + return new NDarray(a.self.InvokeMethod("__or__", b.self)); + } + /// /// Return self^value. /// @@ -305,6 +321,14 @@ public NDarray pow(ValueType obj) return new NDarray(a.self.InvokeMethod("__xor__", obj.ToPython())); } + /// + /// Return self^value. + /// + public static NDarray operator ^(NDarray a, NDarray b) + { + return new NDarray(a.self.InvokeMethod("__xor__", b.self)); + } + //------------------------------ // Arithmetic, in-place: //------------------------------ diff --git a/src/Numpy/Numpy.csproj b/src/Numpy/Numpy.csproj index 0c95d06..fd803e2 100644 --- a/src/Numpy/Numpy.csproj +++ b/src/Numpy/Numpy.csproj @@ -14,7 +14,7 @@ https://github.com/SciSharp/Numpy.NET Data science, Machine Learning, ML, AI, Scientific Computing, NumPy, Linear Algebra, FFT, SVD, Matrix, Python https://github.com/SciSharp/Numpy.NET/blob/master/LICENSE - 3.11.1.33 + 3.11.1.35 https://github.com/SciSharp/Numpy.NET/blob/master/doc/img/numpy.net.icon128.png?raw=true 3.10.0.0 3.10.0.0 diff --git a/src/ReleaseBot/Program.cs b/src/ReleaseBot/Program.cs index 7d25aeb..69a61f8 100644 --- a/src/ReleaseBot/Program.cs +++ b/src/ReleaseBot/Program.cs @@ -13,7 +13,7 @@ namespace ReleaseBot { class Program { - private const string V = "1.33"; // <--- numpy.net version! + private const string V = "1.35"; // <--- numpy.net version! private const string PythonNetVersion = "3.0.1"; private const string PythonVersion = "3.11"; // relevant only for Numpy with included binaries private const string NumpyVersion = "1.23.5"; diff --git a/test/Numpy.UnitTest/NumPy_math.tests.cs b/test/Numpy.UnitTest/NumPy_math.tests.cs index 44035ac..4dfad8b 100644 --- a/test/Numpy.UnitTest/NumPy_math.tests.cs +++ b/test/Numpy.UnitTest/NumPy_math.tests.cs @@ -6,6 +6,7 @@ using System.Collections.Generic; using System.IO; using System.Linq; +using System.Numerics; using System.Runtime.InteropServices; using System.Text; using Numpy.Models; @@ -18,36 +19,36 @@ namespace Numpy.UnitTest [TestClass] public class NumPy_mathTest : BaseTestCase { - + [TestMethod] public void sinTest() { // Print sine of one angle: - + // >>> np.sin(np.pi/2.) // 1.0 // - - #if TODO + +#if TODO var given= np.sin(np.pi/2.); var expected= "1.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Print sines of an array of angles given in degrees: - + // >>> np.sin(np.array((0., 30., 45., 60., 90.)) * np.pi / 180. ) // array([ 0. , 0.5 , 0.70710678, 0.8660254 , 1. ]) // - - #if TODO + +#if TODO given= np.sin(np.array((0., 30., 45., 60., 90.)) * np.pi / 180. ); expected= "array([ 0. , 0.5 , 0.70710678, 0.8660254 , 1. ])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Plot the sine function: - + // >>> import matplotlib.pylab as plt // >>> x = np.linspace(-np.pi, np.pi, 201) // >>> plt.plot(x, np.sin(x)) @@ -56,8 +57,8 @@ public void sinTest() // >>> plt.axis('tight') // >>> plt.show() // - - #if TODO + +#if TODO given= import matplotlib.pylab as plt; given= x = np.linspace(-np.pi, np.pi, 201); given= plt.plot(x, np.sin(x)); @@ -65,10 +66,10 @@ public void sinTest() given= plt.ylabel('sin(x)'); given= plt.axis('tight'); given= plt.show(); - #endif +#endif } - - + + [TestMethod] public void cosTest() { @@ -86,8 +87,8 @@ public void cosTest() // File "", line 1, in // ValueError: invalid return array shape // - - #if TODO + +#if TODO var given= np.cos(np.array({0, np.pi/2, np.pi})); var expected= "array([ 1.00000000e+00, 6.12303177e-17, -1.00000000e+00])"; @@ -107,10 +108,10 @@ public void cosTest() " File "", line 1, in \n" + "ValueError: invalid return array shape"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void tanTest() { @@ -130,8 +131,8 @@ public void tanTest() // File "", line 1, in // ValueError: invalid return array shape // - - #if TODO + +#if TODO var given= from math import pi; given= np.tan(np.array({-pi,pi/2,pi})); var expected= @@ -153,10 +154,10 @@ public void tanTest() " File "", line 1, in \n" + "ValueError: invalid return array shape"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void arcsinTest() { @@ -167,8 +168,8 @@ public void arcsinTest() // >>> np.arcsin(0) // 0.0 // - - #if TODO + +#if TODO var given= np.arcsin(1) # pi/2; var expected= "1.5707963267948966"; @@ -181,88 +182,88 @@ public void arcsinTest() expected= "0.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void arccosTest() { // We expect the arccos of 1 to be 0, and of -1 to be pi: - + // >>> np.arccos([1, -1]) // array([ 0. , 3.14159265]) // - - #if TODO + +#if TODO var given= np.arccos({1, -1}); var expected= "array([ 0. , 3.14159265])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Plot arccos: - + // >>> import matplotlib.pyplot as plt // >>> x = np.linspace(-1, 1, num=100) // >>> plt.plot(x, np.arccos(x)) // >>> plt.axis('tight') // >>> plt.show() // - - #if TODO + +#if TODO given= import matplotlib.pyplot as plt; given= x = np.linspace(-1, 1, num=100); given= plt.plot(x, np.arccos(x)); given= plt.axis('tight'); given= plt.show(); - #endif +#endif } - - + + [TestMethod] public void arctanTest() { // We expect the arctan of 0 to be 0, and of 1 to be pi/4: - + // >>> np.arctan([0, 1]) // array([ 0. , 0.78539816]) // - - #if TODO + +#if TODO var given= np.arctan({0, 1}); var expected= "array([ 0. , 0.78539816])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.pi/4 // 0.78539816339744828 // - - #if TODO + +#if TODO given= np.pi/4; expected= "0.78539816339744828"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Plot arctan: - + // >>> import matplotlib.pyplot as plt // >>> x = np.linspace(-10, 10) // >>> plt.plot(x, np.arctan(x)) // >>> plt.axis('tight') // >>> plt.show() // - - #if TODO + +#if TODO given= import matplotlib.pyplot as plt; given= x = np.linspace(-10, 10); given= plt.plot(x, np.arctan(x)); given= plt.axis('tight'); given= plt.show(); - #endif +#endif } - - + + [TestMethod] public void hypotTest() { @@ -271,64 +272,64 @@ public void hypotTest() // [ 5., 5., 5.], // [ 5., 5., 5.]]) // - - #if TODO + +#if TODO var given= np.hypot(3*np.ones((3, 3)), 4*np.ones((3, 3))); var expected= "array([[ 5., 5., 5.],\n" + " [ 5., 5., 5.],\n" + " [ 5., 5., 5.]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Example showing broadcast of scalar_like argument: - + // >>> np.hypot(3*np.ones((3, 3)), [4]) // array([[ 5., 5., 5.], // [ 5., 5., 5.], // [ 5., 5., 5.]]) // - - #if TODO + +#if TODO given= np.hypot(3*np.ones((3, 3)), {4}); expected= "array([[ 5., 5., 5.],\n" + " [ 5., 5., 5.],\n" + " [ 5., 5., 5.]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void arctan2Test() { // Consider four points in different quadrants: - + // >>> x = np.array([-1, +1, +1, -1]) // >>> y = np.array([-1, -1, +1, +1]) // >>> np.arctan2(y, x) * 180 / np.pi // array([-135., -45., 45., 135.]) // - - #if TODO + +#if TODO var given= x = np.array({-1, +1, +1, -1}); given= y = np.array({-1, -1, +1, +1}); given= np.arctan2(y, x) * 180 / np.pi; var expected= "array([-135., -45., 45., 135.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Note the order of the parameters. arctan2 is defined also when x2 = 0 // and at several other special points, obtaining values in // the range [-pi, pi]: - + // >>> np.arctan2([1., -1.], [0., 0.]) // array([ 1.57079633, -1.57079633]) // >>> np.arctan2([0., 0., np.inf], [+0., -0., np.inf]) // array([ 0. , 3.14159265, 0.78539816]) // - - #if TODO + +#if TODO given= np.arctan2({1., -1.}, {0., 0.}); expected= "array([ 1.57079633, -1.57079633])"; @@ -337,59 +338,59 @@ public void arctan2Test() expected= "array([ 0. , 3.14159265, 0.78539816])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void degreesTest() { // Convert a radian array to degrees - + // >>> rad = np.arange(12.)*np.pi/6 // >>> np.degrees(rad) // array([ 0., 30., 60., 90., 120., 150., 180., 210., 240., // 270., 300., 330.]) // - - #if TODO + +#if TODO var given= rad = np.arange(12.)*np.pi/6; given= np.degrees(rad); var expected= "array([ 0., 30., 60., 90., 120., 150., 180., 210., 240.,\n" + " 270., 300., 330.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> out = np.zeros((rad.shape)) // >>> r = degrees(rad, out) // >>> np.all(r == out) // True // - - #if TODO + +#if TODO given= out = np.zeros((rad.shape)); given= r = degrees(rad, out); given= np.all(r == out); expected= "True"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void radiansTest() { // Convert a degree array to radians - + // >>> deg = np.arange(12.) * 30. // >>> np.radians(deg) // array([ 0. , 0.52359878, 1.04719755, 1.57079633, 2.0943951 , // 2.61799388, 3.14159265, 3.66519143, 4.1887902 , 4.71238898, // 5.23598776, 5.75958653]) // - - #if TODO + +#if TODO var given= deg = np.arange(12.) * 30.; given= np.radians(deg); var expected= @@ -397,24 +398,24 @@ public void radiansTest() " 2.61799388, 3.14159265, 3.66519143, 4.1887902 , 4.71238898,\n" + " 5.23598776, 5.75958653])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> out = np.zeros((deg.shape)) // >>> ret = np.radians(deg, out) // >>> ret is out // True // - - #if TODO + +#if TODO given= out = np.zeros((deg.shape)); given= ret = np.radians(deg, out); given= ret is out; expected= "True"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void unwrapTest() { @@ -425,8 +426,8 @@ public void unwrapTest() // >>> np.unwrap(phase) // array([ 0. , 0.78539816, 1.57079633, -0.78539816, 0. ]) // - - #if TODO + +#if TODO var given= phase = np.linspace(0, np.pi, num=5); given= phase{3:} += np.pi; given= phase; @@ -437,42 +438,42 @@ public void unwrapTest() expected= "array([ 0. , 0.78539816, 1.57079633, -0.78539816, 0. ])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void deg2radTest() { // >>> np.deg2rad(180) // 3.1415926535897931 // - - #if TODO + +#if TODO var given= np.deg2rad(180); var expected= "3.1415926535897931"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void rad2degTest() { // >>> np.rad2deg(np.pi/2) // 90.0 // - - #if TODO + +#if TODO var given= np.rad2deg(np.pi/2); var expected= "90.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void sinhTest() { @@ -484,8 +485,8 @@ public void sinhTest() // 1.2246063538223773e-016j // >>> # Discrepancy due to vagaries of floating point arithmetic. // - - #if TODO + +#if TODO var given= np.sinh(0); var expected= "0.0"; @@ -499,29 +500,29 @@ public void sinhTest() "1.2246063538223773e-016j"; Assert.AreEqual(expected, given.repr); given= # Discrepancy due to vagaries of floating point arithmetic.; - #endif +#endif // >>> # Example of providing the optional output parameter // >>> out2 = np.sinh([0.1], out1) // >>> out2 is out1 // True // - - #if TODO + +#if TODO given= # Example of providing the optional output parameter; given= out2 = np.sinh({0.1}, out1); given= out2 is out1; expected= "True"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> # Example of ValueError due to provision of shape mis-matched `out` // >>> np.sinh(np.zeros((3,3)),np.zeros((2,2))) // Traceback (most recent call last): // File "", line 1, in // ValueError: invalid return array shape // - - #if TODO + +#if TODO given= # Example of ValueError due to provision of shape mis-matched `out`; given= np.sinh(np.zeros((3,3)),np.zeros((2,2))); expected= @@ -529,61 +530,61 @@ public void sinhTest() " File "", line 1, in \n" + "ValueError: invalid return array shape"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void coshTest() { // >>> np.cosh(0) // 1.0 // - - #if TODO + +#if TODO var given= np.cosh(0); var expected= "1.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif // The hyperbolic cosine describes the shape of a hanging cable: - + // >>> import matplotlib.pyplot as plt // >>> x = np.linspace(-4, 4, 1000) // >>> plt.plot(x, np.cosh(x)) // >>> plt.show() // - - #if TODO + +#if TODO given= import matplotlib.pyplot as plt; given= x = np.linspace(-4, 4, 1000); given= plt.plot(x, np.cosh(x)); given= plt.show(); - #endif +#endif } - - + + [TestMethod] public void tanhTest() { // >>> np.tanh((0, np.pi*1j, np.pi*1j/2)) // array([ 0. +0.00000000e+00j, 0. -1.22460635e-16j, 0. +1.63317787e+16j]) // - - #if TODO + +#if TODO var given= np.tanh((0, np.pi*1j, np.pi*1j/2)); var expected= "array([ 0. +0.00000000e+00j, 0. -1.22460635e-16j, 0. +1.63317787e+16j])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> # Example of providing the optional output parameter illustrating // >>> # that what is returned is a reference to said parameter // >>> out2 = np.tanh([0.1], out1) // >>> out2 is out1 // True // - - #if TODO + +#if TODO given= # Example of providing the optional output parameter illustrating; given= # that what is returned is a reference to said parameter; given= out2 = np.tanh({0.1}, out1); @@ -591,15 +592,15 @@ public void tanhTest() expected= "True"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> # Example of ValueError due to provision of shape mis-matched `out` // >>> np.tanh(np.zeros((3,3)),np.zeros((2,2))) // Traceback (most recent call last): // File "", line 1, in // ValueError: invalid return array shape // - - #if TODO + +#if TODO given= # Example of ValueError due to provision of shape mis-matched `out`; given= np.tanh(np.zeros((3,3)),np.zeros((2,2))); expected= @@ -607,26 +608,26 @@ public void tanhTest() " File "", line 1, in \n" + "ValueError: invalid return array shape"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void arcsinhTest() { // >>> np.arcsinh(np.array([np.e, 10.0])) // array([ 1.72538256, 2.99822295]) // - - #if TODO + +#if TODO var given= np.arcsinh(np.array({np.e, 10.0})); var expected= "array([ 1.72538256, 2.99822295])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void arccoshTest() { @@ -635,8 +636,8 @@ public void arccoshTest() // >>> np.arccosh(1) // 0.0 // - - #if TODO + +#if TODO var given= np.arccosh({np.e, 10.0}); var expected= "array([ 1.65745445, 2.99322285])"; @@ -645,26 +646,26 @@ public void arccoshTest() expected= "0.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void arctanhTest() { // >>> np.arctanh([0, -0.5]) // array([ 0. , -0.54930614]) // - - #if TODO + +#if TODO var given= np.arctanh({0, -0.5}); var expected= "array([ 0. , -0.54930614])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void aroundTest() { @@ -679,8 +680,8 @@ public void aroundTest() // >>> np.around([1,2,3,11], decimals=-1) // array([ 0, 0, 0, 10]) // - - #if TODO + +#if TODO var given= np.around({0.37, 1.64}); var expected= "array([ 0., 2.])"; @@ -701,10 +702,10 @@ public void aroundTest() expected= "array([ 0, 0, 0, 10])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void rintTest() { @@ -712,17 +713,17 @@ public void rintTest() // >>> np.rint(a) // array([-2., -2., -0., 0., 2., 2., 2.]) // - - #if TODO + +#if TODO var given= a = np.array({-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0}); given= np.rint(a); var expected= "array([-2., -2., -0., 0., 2., 2., 2.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void fixTest() { @@ -733,8 +734,8 @@ public void fixTest() // >>> np.fix([2.1, 2.9, -2.1, -2.9]) // array([ 2., 2., -2., -2.]) // - - #if TODO + +#if TODO var given= np.fix(3.14); var expected= "3.0"; @@ -747,10 +748,10 @@ public void fixTest() expected= "array([ 2., 2., -2., -2.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void floorTest() { @@ -758,17 +759,17 @@ public void floorTest() // >>> np.floor(a) // array([-2., -2., -1., 0., 1., 1., 2.]) // - - #if TODO + +#if TODO var given= a = np.array({-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0}); given= np.floor(a); var expected= "array([-2., -2., -1., 0., 1., 1., 2.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void ceilTest() { @@ -776,17 +777,17 @@ public void ceilTest() // >>> np.ceil(a) // array([-1., -1., -0., 1., 2., 2., 2.]) // - - #if TODO + +#if TODO var given= a = np.array({-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0}); given= np.ceil(a); var expected= "array([-1., -1., -0., 1., 2., 2., 2.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void truncTest() { @@ -794,14 +795,14 @@ public void truncTest() // >>> np.trunc(a) // array([-1., -1., -0., 0., 1., 1., 2.]) // - - #if TODO + +#if TODO var given= a = np.array({-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0}); given= np.trunc(a); var expected= "array([-1., -1., -0., 0., 1., 1., 2.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } @@ -870,55 +871,55 @@ public void sumTest() // >>> np.sum([[0, 1], [0, 5]], axis=1) // array([1, 5]) // - - var given= np.sum(new[]{0.5, 1.5}); - var expected= + + var given = np.sum(new[] { 0.5, 1.5 }); + var expected = "2.0"; Assert.AreEqual(expected, given.repr); - given= np.sum(new[] { 0.5, 0.7, 0.2, 1.5}, dtype:np.int32); - expected= - "1"; + given = np.sum(new[] { 0.5, 0.7, 0.2, 1.5 }, dtype: np.int32); + expected = + "1"; Assert.AreEqual(expected, given.repr); - given= np.sum(new[,] { {0, 1}, {0, 5}}); - expected= - "6"; + given = np.sum(new[,] { { 0, 1 }, { 0, 5 } }); + expected = + "6"; Assert.AreEqual(expected, given.repr); - given= np.sum(new[,] { {0, 1}, {0, 5}}, axis:0); - expected= - "array([0, 6])"; + given = np.sum(new[,] { { 0, 1 }, { 0, 5 } }, axis: 0); + expected = + "array([0, 6])"; Assert.AreEqual(expected, given.repr); - given= np.sum(new[,] { {0, 1}, {0, 5}}, axis: 1); - expected= - "array([1, 5])"; + given = np.sum(new[,] { { 0, 1 }, { 0, 5 } }, axis: 1); + expected = + "array([1, 5])"; Assert.AreEqual(expected, given.repr); // If the accumulator is too small, overflow occurs: - + // >>> np.ones(128, dtype=np.int8).sum(dtype=np.int8) // -128 // - - #if TODO + +#if TODO given= np.ones(128, dtype=np.int8).sum(dtype=np.int8); expected= "-128"; Assert.AreEqual(expected, given.repr); - #endif +#endif // You can also start the sum with a value other than zero: - + // >>> np.sum([10], initial=5) // 15 // - - #if TODO + +#if TODO given= np.sum({10}, initial=5); expected= "15"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void nanprodTest() { @@ -934,8 +935,8 @@ public void nanprodTest() // >>> np.nanprod(a, axis=0) // array([ 3., 2.]) // - - #if TODO + +#if TODO var given= np.nanprod(1); var expected= "1"; @@ -957,10 +958,10 @@ public void nanprodTest() expected= "array([ 3., 2.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void nansumTest() { @@ -982,8 +983,8 @@ public void nansumTest() // >>> np.nansum([1, np.nan, np.inf, -np.inf]) # both +/- infinity present // nan // - - #if TODO + +#if TODO var given= np.nansum(1); var expected= "1"; @@ -1017,10 +1018,10 @@ public void nansumTest() expected= "nan"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void cumprodTest() { @@ -1032,8 +1033,8 @@ public void cumprodTest() // >>> np.cumprod(a, dtype=float) # specify type of output // array([ 1., 2., 6., 24., 120., 720.]) // - - #if TODO + +#if TODO var given= a = np.array({1,2,3}); given= np.cumprod(a) # intermediate results 1, 1*2; var expected= @@ -1045,38 +1046,38 @@ public void cumprodTest() expected= "array([ 1., 2., 6., 24., 120., 720.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // The cumulative product for each column (i.e., over the rows) of a: - + // >>> np.cumprod(a, axis=0) // array([[ 1, 2, 3], // [ 4, 10, 18]]) // - - #if TODO + +#if TODO given= np.cumprod(a, axis=0); expected= "array([[ 1, 2, 3],\n" + " [ 4, 10, 18]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // The cumulative product for each row (i.e. over the columns) of a: - + // >>> np.cumprod(a,axis=1) // array([[ 1, 2, 6], // [ 4, 20, 120]]) // - - #if TODO + +#if TODO given= np.cumprod(a,axis=1); expected= "array([[ 1, 2, 6],\n" + " [ 4, 20, 120]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void cumsumTest() { @@ -1089,8 +1090,8 @@ public void cumsumTest() // >>> np.cumsum(a, dtype=float) # specifies type of output value(s) // array([ 1., 3., 6., 10., 15., 21.]) // - - #if TODO + +#if TODO var given= a = np.array({{1,2,3}, {4,5,6}}); given= a; var expected= @@ -1105,7 +1106,7 @@ public void cumsumTest() expected= "array([ 1., 3., 6., 10., 15., 21.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.cumsum(a,axis=0) # sum over rows for each of the 3 columns // array([[1, 2, 3], // [5, 7, 9]]) @@ -1113,8 +1114,8 @@ public void cumsumTest() // array([[ 1, 3, 6], // [ 4, 9, 15]]) // - - #if TODO + +#if TODO given= np.cumsum(a,axis=0) # sum over rows for each of the 3 columns; expected= "array([[1, 2, 3],\n" + @@ -1125,10 +1126,10 @@ public void cumsumTest() "array([[ 1, 3, 6],\n" + " [ 4, 9, 15]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void nancumprodTest() { @@ -1148,8 +1149,8 @@ public void nancumprodTest() // array([[ 1., 2.], // [ 3., 3.]]) // - - #if TODO + +#if TODO var given= np.nancumprod(1); var expected= "array([1])"; @@ -1177,10 +1178,10 @@ public void nancumprodTest() "array([[ 1., 2.],\n" + " [ 3., 3.]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void nancumsumTest() { @@ -1200,8 +1201,8 @@ public void nancumsumTest() // array([[ 1., 3.], // [ 3., 3.]]) // - - #if TODO + +#if TODO var given= np.nancumsum(1); var expected= "array([1])"; @@ -1229,10 +1230,10 @@ public void nancumsumTest() "array([[ 1., 3.],\n" + " [ 3., 3.]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void diffTest() { @@ -1242,8 +1243,8 @@ public void diffTest() // >>> np.diff(x, n=2) // array([ 1, 1, -10]) // - - #if TODO + +#if TODO var given= x = np.array({1, 2, 4, 7, 0}); given= np.diff(x); var expected= @@ -1253,7 +1254,7 @@ public void diffTest() expected= "array([ 1, 1, -10])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> x = np.array([[1, 3, 6, 10], [0, 5, 6, 8]]) // >>> np.diff(x) // array([[2, 3, 4], @@ -1261,8 +1262,8 @@ public void diffTest() // >>> np.diff(x, axis=0) // array([[-1, 2, 0, -2]]) // - - #if TODO + +#if TODO given= x = np.array({{1, 3, 6, 10}, {0, 5, 6, 8}}); given= np.diff(x); expected= @@ -1273,22 +1274,22 @@ public void diffTest() expected= "array([[-1, 2, 0, -2]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> x = np.arange('1066-10-13', '1066-10-16', dtype=np.datetime64) // >>> np.diff(x) // array([1, 1], dtype='timedelta64[D]') // - - #if TODO + +#if TODO given= x = np.arange('1066-10-13', '1066-10-16', dtype=np.datetime64); given= np.diff(x); expected= "array([1, 1], dtype='timedelta64[D]')"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void ediff1dTest() { @@ -1296,41 +1297,41 @@ public void ediff1dTest() // >>> np.ediff1d(x) // array([ 1, 2, 3, -7]) // - - #if TODO + +#if TODO var given= x = np.array({1, 2, 4, 7, 0}); given= np.ediff1d(x); var expected= "array([ 1, 2, 3, -7])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.ediff1d(x, to_begin=-99, to_end=np.array([88, 99])) // array([-99, 1, 2, 3, -7, 88, 99]) // - - #if TODO + +#if TODO given= np.ediff1d(x, to_begin=-99, to_end=np.array({88, 99})); expected= "array([-99, 1, 2, 3, -7, 88, 99])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // The returned array is always 1D. - + // >>> y = [[1, 2, 4], [1, 6, 24]] // >>> np.ediff1d(y) // array([ 1, 2, -3, 5, 18]) // - - #if TODO + +#if TODO given= y = [[1, 2, 4], [1, 6, 24]]; given= np.ediff1d(y); expected= "array([ 1, 2, -3, 5, 18])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void gradientTest() { @@ -1340,8 +1341,8 @@ public void gradientTest() // >>> np.gradient(f, 2) // array([ 0.5 , 0.75, 1.25, 1.75, 2.25, 2.5 ]) // - - #if TODO + +#if TODO var given= f = np.array({1, 2, 4, 7, 11, 16}, dtype=float); given= np.gradient(f); var expected= @@ -1351,58 +1352,58 @@ public void gradientTest() expected= "array([ 0.5 , 0.75, 1.25, 1.75, 2.25, 2.5 ])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Spacing can be also specified with an array that represents the coordinates // of the values F along the dimensions. // For instance a uniform spacing: - + // >>> x = np.arange(f.size) // >>> np.gradient(f, x) // array([ 1. , 1.5, 2.5, 3.5, 4.5, 5. ]) // - - #if TODO + +#if TODO given= x = np.arange(f.size); given= np.gradient(f, x); expected= "array([ 1. , 1.5, 2.5, 3.5, 4.5, 5. ])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Or a non uniform one: - + // >>> x = np.array([0., 1., 1.5, 3.5, 4., 6.], dtype=float) // >>> np.gradient(f, x) // array([ 1. , 3. , 3.5, 6.7, 6.9, 2.5]) // - - #if TODO + +#if TODO given= x = np.array({0., 1., 1.5, 3.5, 4., 6.}, dtype=float); given= np.gradient(f, x); expected= "array([ 1. , 3. , 3.5, 6.7, 6.9, 2.5])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // For two dimensional arrays, the return will be two arrays ordered by // axis. In this example the first array stands for the gradient in // rows and the second one in columns direction: - + // >>> np.gradient(np.array([[1, 2, 6], [3, 4, 5]], dtype=float)) // [array([[ 2., 2., -1.], // [ 2., 2., -1.]]), array([[ 1. , 2.5, 4. ], // [ 1. , 1. , 1. ]])] // - - #if TODO + +#if TODO given= np.gradient(np.array({{1, 2, 6}, {3, 4, 5}}, dtype=float)); expected= "[array([[ 2., 2., -1.],\n" + " [ 2., 2., -1.]]), array([[ 1. , 2.5, 4. ],\n" + " [ 1. , 1. , 1. ]])]"; Assert.AreEqual(expected, given.repr); - #endif +#endif // In this example the spacing is also specified: // uniform for axis=0 and non uniform for axis=1 - + // >>> dx = 2. // >>> y = [1., 1.5, 3.5] // >>> np.gradient(np.array([[1, 2, 6], [3, 4, 5]], dtype=float), dx, y) @@ -1410,8 +1411,8 @@ public void gradientTest() // [ 1. , 1. , -0.5]]), array([[ 2. , 2. , 2. ], // [ 2. , 1.7, 0.5]])] // - - #if TODO + +#if TODO given= dx = 2.; given= y = [1., 1.5, 3.5]; given= np.gradient(np.array({{1, 2, 6}, {3, 4, 5}}, dtype=float), dx, y); @@ -1420,9 +1421,9 @@ public void gradientTest() " [ 1. , 1. , -0.5]]), array([[ 2. , 2. , 2. ],\n" + " [ 2. , 1.7, 0.5]])]"; Assert.AreEqual(expected, given.repr); - #endif +#endif // It is possible to specify how boundaries are treated using edge_order - + // >>> x = np.array([0, 1, 2, 3, 4]) // >>> f = x**2 // >>> np.gradient(f, edge_order=1) @@ -1430,8 +1431,8 @@ public void gradientTest() // >>> np.gradient(f, edge_order=2) // array([-0., 2., 4., 6., 8.]) // - - #if TODO + +#if TODO given= x = np.array({0, 1, 2, 3, 4}); given= f = x**2; given= np.gradient(f, edge_order=1); @@ -1442,103 +1443,103 @@ public void gradientTest() expected= "array([-0., 2., 4., 6., 8.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // The axis keyword can be used to specify a subset of axes of which the // gradient is calculated - + // >>> np.gradient(np.array([[1, 2, 6], [3, 4, 5]], dtype=float), axis=0) // array([[ 2., 2., -1.], // [ 2., 2., -1.]]) // - - #if TODO + +#if TODO given= np.gradient(np.array({{1, 2, 6}, {3, 4, 5}}, dtype=float), axis=0); expected= "array([[ 2., 2., -1.],\n" + " [ 2., 2., -1.]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void crossTest() { // Vector cross-product. - + // >>> x = [1, 2, 3] // >>> y = [4, 5, 6] // >>> np.cross(x, y) // array([-3, 6, -3]) // - - #if TODO + +#if TODO var given= x = [1, 2, 3]; given= y = [4, 5, 6]; given= np.cross(x, y); var expected= "array([-3, 6, -3])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // One vector with dimension 2. - + // >>> x = [1, 2] // >>> y = [4, 5, 6] // >>> np.cross(x, y) // array([12, -6, -3]) // - - #if TODO + +#if TODO given= x = [1, 2]; given= y = [4, 5, 6]; given= np.cross(x, y); expected= "array([12, -6, -3])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Equivalently: - + // >>> x = [1, 2, 0] // >>> y = [4, 5, 6] // >>> np.cross(x, y) // array([12, -6, -3]) // - - #if TODO + +#if TODO given= x = [1, 2, 0]; given= y = [4, 5, 6]; given= np.cross(x, y); expected= "array([12, -6, -3])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Both vectors with dimension 2. - + // >>> x = [1,2] // >>> y = [4,5] // >>> np.cross(x, y) // -3 // - - #if TODO + +#if TODO given= x = [1,2]; given= y = [4,5]; given= np.cross(x, y); expected= "-3"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Multiple vector cross-products. Note that the direction of the cross // product vector is defined by the right-hand rule. - + // >>> x = np.array([[1,2,3], [4,5,6]]) // >>> y = np.array([[4,5,6], [1,2,3]]) // >>> np.cross(x, y) // array([[-3, 6, -3], // [ 3, -6, 3]]) // - - #if TODO + +#if TODO given= x = np.array({{1,2,3}, {4,5,6}}); given= y = np.array({{4,5,6}, {1,2,3}}); given= np.cross(x, y); @@ -1546,25 +1547,25 @@ public void crossTest() "array([[-3, 6, -3],\n" + " [ 3, -6, 3]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // The orientation of c can be changed using the axisc keyword. - + // >>> np.cross(x, y, axisc=0) // array([[-3, 3], // [ 6, -6], // [-3, 3]]) // - - #if TODO + +#if TODO given= np.cross(x, y, axisc=0); expected= "array([[-3, 3],\n" + " [ 6, -6],\n" + " [-3, 3]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Change the vector definition of x and y using axisa and axisb. - + // >>> x = np.array([[1,2,3], [4,5,6], [7, 8, 9]]) // >>> y = np.array([[7, 8, 9], [4,5,6], [1,2,3]]) // >>> np.cross(x, y) @@ -1576,8 +1577,8 @@ public void crossTest() // [-30, 60, -30], // [-36, 72, -36]]) // - - #if TODO + +#if TODO given= x = np.array({{1,2,3}, {4,5,6}, {7, 8, 9}}); given= y = np.array({{7, 8, 9}, {4,5,6}, {1,2,3}}); given= np.cross(x, y); @@ -1592,10 +1593,10 @@ public void crossTest() " [-30, 60, -30],\n" + " [-36, 72, -36]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void trapzTest() { @@ -1614,8 +1615,8 @@ public void trapzTest() // >>> np.trapz(a, axis=1) // array([ 2., 8.]) // - - #if TODO + +#if TODO var given= np.trapz({1,2,3}); var expected= "4.0"; @@ -1642,53 +1643,53 @@ public void trapzTest() expected= "array([ 2., 8.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void expTest() { // Plot the magnitude and phase of exp(x) in the complex plane: - + // >>> import matplotlib.pyplot as plt // - - #if TODO + +#if TODO var given= import matplotlib.pyplot as plt; - #endif +#endif // >>> x = np.linspace(-2*np.pi, 2*np.pi, 100) // >>> xx = x + 1j * x[:, np.newaxis] # a + ib over complex plane // >>> out = np.exp(xx) // - - #if TODO + +#if TODO given= x = np.linspace(-2*np.pi, 2*np.pi, 100); given= xx = x + 1j * x{:, np.newaxis} # a + ib over complex plane; given= out = np.exp(xx); - #endif +#endif // >>> plt.subplot(121) // >>> plt.imshow(np.abs(out), // ... extent=[-2*np.pi, 2*np.pi, -2*np.pi, 2*np.pi], cmap='gray') // >>> plt.title('Magnitude of exp(x)') // - - #if TODO + +#if TODO given= plt.subplot(121); given= plt.imshow(np.abs(out),; var expected= "... extent=[-2*np.pi, 2*np.pi, -2*np.pi, 2*np.pi], cmap='gray')"; Assert.AreEqual(expected, given.repr); given= plt.title('Magnitude of exp(x)'); - #endif +#endif // >>> plt.subplot(122) // >>> plt.imshow(np.angle(out), // ... extent=[-2*np.pi, 2*np.pi, -2*np.pi, 2*np.pi], cmap='hsv') // >>> plt.title('Phase (angle) of exp(x)') // >>> plt.show() // - - #if TODO + +#if TODO given= plt.subplot(122); given= plt.imshow(np.angle(out),; expected= @@ -1696,24 +1697,24 @@ public void expTest() Assert.AreEqual(expected, given.repr); given= plt.title('Phase (angle) of exp(x)'); given= plt.show(); - #endif +#endif } - - + + [TestMethod] public void expm1Test() { // The true value of exp(1e-10) - 1 is 1.00000000005e-10 to // about 32 significant digits. This example shows the superiority of // expm1 in this case. - + // >>> np.expm1(1e-10) // 1.00000000005e-10 // >>> np.exp(1e-10) - 1 // 1.000000082740371e-10 // - - #if TODO + +#if TODO var given= np.expm1(1e-10); var expected= "1.00000000005e-10"; @@ -1722,58 +1723,58 @@ public void expm1Test() expected= "1.000000082740371e-10"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void exp2Test() { // >>> np.exp2([2, 3]) // array([ 4., 8.]) // - - #if TODO + +#if TODO var given= np.exp2({2, 3}); var expected= "array([ 4., 8.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void logTest() { // >>> np.log([1, np.e, np.e**2, 0]) // array([ 0., 1., 2., -Inf]) // - - #if TODO + +#if TODO var given= np.log({1, np.e, np.e**2, 0}); var expected= "array([ 0., 1., 2., -Inf])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void log10Test() { // >>> np.log10([1e-15, -3.]) // array([-15., NaN]) // - - #if TODO + +#if TODO var given= np.log10({1e-15, -3.}); var expected= "array([-15., NaN])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void log2Test() { @@ -1781,29 +1782,29 @@ public void log2Test() // >>> np.log2(x) // array([-Inf, 0., 1., 4.]) // - - #if TODO + +#if TODO var given= x = np.array({0, 1, 2, 2**4}); given= np.log2(x); var expected= "array([-Inf, 0., 1., 4.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> xi = np.array([0+1.j, 1, 2+0.j, 4.j]) // >>> np.log2(xi) // array([ 0.+2.26618007j, 0.+0.j , 1.+0.j , 2.+2.26618007j]) // - - #if TODO + +#if TODO given= xi = np.array({0+1.j, 1, 2+0.j, 4.j}); given= np.log2(xi); expected= "array([ 0.+2.26618007j, 0.+0.j , 1.+0.j , 2.+2.26618007j])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void log1pTest() { @@ -1812,8 +1813,8 @@ public void log1pTest() // >>> np.log(1 + 1e-99) // 0.0 // - - #if TODO + +#if TODO var given= np.log1p(1e-99); var expected= "1e-99"; @@ -1822,10 +1823,10 @@ public void log1pTest() expected= "0.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void logaddexpTest() { @@ -1837,8 +1838,8 @@ public void logaddexpTest() // >>> np.exp(prob12) // 3.5000000000000057e-50 // - - #if TODO + +#if TODO var given= prob1 = np.log(1e-50); given= prob2 = np.log(2.5e-50); given= prob12 = np.logaddexp(prob1, prob2); @@ -1850,10 +1851,10 @@ public void logaddexpTest() expected= "3.5000000000000057e-50"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void logaddexp2Test() { @@ -1865,8 +1866,8 @@ public void logaddexp2Test() // >>> 2**prob12 // 3.4999999999999914e-50 // - - #if TODO + +#if TODO var given= prob1 = np.log2(1e-50); given= prob2 = np.log2(2.5e-50); given= prob12 = np.logaddexp2(prob1, prob2); @@ -1878,10 +1879,10 @@ public void logaddexp2Test() expected= "3.4999999999999914e-50"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void sincTest() { @@ -1903,8 +1904,8 @@ public void sincTest() // -5.84680802e-02, -8.90384387e-02, -8.40918587e-02, // -4.92362781e-02, -3.89804309e-17]) // - - #if TODO + +#if TODO var given= import matplotlib.pyplot as plt; given= x = np.linspace(-4, 4, 41); given= np.sinc(x); @@ -1924,7 +1925,7 @@ public void sincTest() " -5.84680802e-02, -8.90384387e-02, -8.40918587e-02,\n" + " -4.92362781e-02, -3.89804309e-17])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> plt.plot(x, np.sinc(x)) // [] // >>> plt.title("Sinc Function") @@ -1935,8 +1936,8 @@ public void sincTest() // // >>> plt.show() // - - #if TODO + +#if TODO given= plt.plot(x, np.sinc(x)); expected= "[]"; @@ -1954,26 +1955,26 @@ public void sincTest() ""; Assert.AreEqual(expected, given.repr); given= plt.show(); - #endif +#endif // It works in 2-D as well: - + // >>> x = np.linspace(-4, 4, 401) // >>> xx = np.outer(x, x) // >>> plt.imshow(np.sinc(xx)) // // - - #if TODO + +#if TODO given= x = np.linspace(-4, 4, 401); given= xx = np.outer(x, x); given= plt.imshow(np.sinc(xx)); expected= ""; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void signbitTest() { @@ -1982,8 +1983,8 @@ public void signbitTest() // >>> np.signbit(np.array([1, -2.3, 2.1])) // array([False, True, False]) // - - #if TODO + +#if TODO var given= np.signbit(-1.2); var expected= "True"; @@ -1992,10 +1993,10 @@ public void signbitTest() expected= "array([False, True, False])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void copysignTest() { @@ -2006,8 +2007,8 @@ public void copysignTest() // >>> 1/np.copysign(0, -1) // -inf // - - #if TODO + +#if TODO var given= np.copysign(1.3, -1); var expected= "-1.3"; @@ -2020,14 +2021,14 @@ public void copysignTest() expected= "-inf"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.copysign([-1, 0, 1], -1.1) // array([-1., -0., -1.]) // >>> np.copysign([-1, 0, 1], np.arange(3)-1) // array([-1., 0., 1.]) // - - #if TODO + +#if TODO given= np.copysign({-1, 0, 1}, -1.1); expected= "array([-1., -0., -1.])"; @@ -2036,10 +2037,10 @@ public void copysignTest() expected= "array([-1., 0., 1.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void frexpTest() { @@ -2053,8 +2054,8 @@ public void frexpTest() // >>> y1 * 2**y2 // array([ 0., 1., 2., 3., 4., 5., 6., 7., 8.]) // - - #if TODO + +#if TODO var given= x = np.arange(9); given= y1, y2 = np.frexp(x); given= y1; @@ -2070,38 +2071,38 @@ public void frexpTest() expected= "array([ 0., 1., 2., 3., 4., 5., 6., 7., 8.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void ldexpTest() { // >>> np.ldexp(5, np.arange(4)) // array([ 5., 10., 20., 40.], dtype=float32) // - - #if TODO + +#if TODO var given= np.ldexp(5, np.arange(4)); var expected= "array([ 5., 10., 20., 40.], dtype=float32)"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> x = np.arange(6) // >>> np.ldexp(*np.frexp(x)) // array([ 0., 1., 2., 3., 4., 5.]) // - - #if TODO + +#if TODO given= x = np.arange(6); given= np.ldexp(*np.frexp(x)); expected= "array([ 0., 1., 2., 3., 4., 5.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void nextafterTest() { @@ -2111,8 +2112,8 @@ public void nextafterTest() // >>> np.nextafter([1, 2], [2, 1]) == [eps + 1, 2 - eps] // array([ True, True]) // - - #if TODO + +#if TODO var given= eps = np.finfo(np.float64).eps; given= np.nextafter(1, 2) == eps + 1; var expected= @@ -2122,26 +2123,26 @@ public void nextafterTest() expected= "array([ True, True])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void spacingTest() { // >>> np.spacing(1) == np.finfo(np.float64).eps // True // - - #if TODO + +#if TODO var given= np.spacing(1) == np.finfo(np.float64).eps; var expected= "True"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void lcmTest() { @@ -2154,8 +2155,8 @@ public void lcmTest() // >>> np.lcm(np.arange(6), 20) // array([ 0, 20, 20, 60, 20, 20]) // - - #if TODO + +#if TODO var given= np.lcm(12, 20); var expected= "60"; @@ -2172,10 +2173,10 @@ public void lcmTest() expected= "array([ 0, 20, 20, 60, 20, 20])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void gcdTest() { @@ -2186,8 +2187,8 @@ public void gcdTest() // >>> np.gcd(np.arange(6), 20) // array([20, 1, 2, 1, 4, 5]) // - - #if TODO + +#if TODO var given= np.gcd(12, 20); var expected= "4"; @@ -2200,10 +2201,10 @@ public void gcdTest() expected= "array([20, 1, 2, 1, 4, 5])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void addTest() { @@ -2216,8 +2217,8 @@ public void addTest() // [ 3., 5., 7.], // [ 6., 8., 10.]]) // - - #if TODO + +#if TODO var given= np.add(1.0, 4.0); var expected= "5.0"; @@ -2230,10 +2231,10 @@ public void addTest() " [ 3., 5., 7.],\n" + " [ 6., 8., 10.]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void reciprocalTest() { @@ -2242,8 +2243,8 @@ public void reciprocalTest() // >>> np.reciprocal([1, 2., 3.33]) // array([ 1. , 0.5 , 0.3003003]) // - - #if TODO + +#if TODO var given= np.reciprocal(2.); var expected= "0.5"; @@ -2252,39 +2253,39 @@ public void reciprocalTest() expected= "array([ 1. , 0.5 , 0.3003003])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void negativeTest() { // >>> np.negative([1.,-1.]) // array([-1., 1.]) // - - #if TODO + +#if TODO var given= np.negative({1.,-1.}); var expected= "array([-1., 1.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void multiplyTest() { // >>> np.multiply(2.0, 4.0) // 8.0 // - - #if TODO + +#if TODO var given= np.multiply(2.0, 4.0); var expected= "8.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> x1 = np.arange(9.0).reshape((3, 3)) // >>> x2 = np.arange(3.0) // >>> np.multiply(x1, x2) @@ -2292,8 +2293,8 @@ public void multiplyTest() // [ 0., 4., 10.], // [ 0., 7., 16.]]) // - - #if TODO + +#if TODO given= x1 = np.arange(9.0).reshape((3, 3)); given= x2 = np.arange(3.0); given= np.multiply(x1, x2); @@ -2302,10 +2303,10 @@ public void multiplyTest() " [ 0., 4., 10.],\n" + " [ 0., 7., 16.]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void divideTest() { @@ -2313,21 +2314,21 @@ public void divideTest() // >>> np.true_divide(x, 4) // array([ 0. , 0.25, 0.5 , 0.75, 1. ]) // - - #if TODO + +#if TODO var given= x = np.arange(5); given= np.true_divide(x, 4); var expected= "array([ 0. , 0.25, 0.5 , 0.75, 1. ])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> x/4 // array([0, 0, 0, 0, 1]) // >>> x//4 // array([0, 0, 0, 0, 1]) // - - #if TODO + +#if TODO given= x/4; expected= "array([0, 0, 0, 0, 1])"; @@ -2336,15 +2337,15 @@ public void divideTest() expected= "array([0, 0, 0, 0, 1])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> from __future__ import division // >>> x/4 // array([ 0. , 0.25, 0.5 , 0.75, 1. ]) // >>> x//4 // array([0, 0, 0, 0, 1]) // - - #if TODO + +#if TODO given= from __future__ import division; given= x/4; expected= @@ -2354,23 +2355,23 @@ public void divideTest() expected= "array([0, 0, 0, 0, 1])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void powerTest() { // Cube each element in a list. - + // >>> x1 = range(6) // >>> x1 // [0, 1, 2, 3, 4, 5] // >>> np.power(x1, 3) // array([ 0, 1, 8, 27, 64, 125]) // - - #if TODO + +#if TODO var given= x1 = range(6); given= x1; var expected= @@ -2380,23 +2381,23 @@ public void powerTest() expected= "array([ 0, 1, 8, 27, 64, 125])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Raise the bases to different exponents. - + // >>> x2 = [1.0, 2.0, 3.0, 3.0, 2.0, 1.0] // >>> np.power(x1, x2) // array([ 0., 1., 8., 27., 16., 5.]) // - - #if TODO + +#if TODO given= x2 = [1.0, 2.0, 3.0, 3.0, 2.0, 1.0]; given= np.power(x1, x2); expected= "array([ 0., 1., 8., 27., 16., 5.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // The effect of broadcasting. - + // >>> x2 = np.array([[1, 2, 3, 3, 2, 1], [1, 2, 3, 3, 2, 1]]) // >>> x2 // array([[1, 2, 3, 3, 2, 1], @@ -2405,8 +2406,8 @@ public void powerTest() // array([[ 0, 1, 8, 27, 16, 5], // [ 0, 1, 8, 27, 16, 5]]) // - - #if TODO + +#if TODO given= x2 = np.array({{1, 2, 3, 3, 2, 1}, {1, 2, 3, 3, 2, 1}}); given= x2; expected= @@ -2418,23 +2419,23 @@ public void powerTest() "array([[ 0, 1, 8, 27, 16, 5],\n" + " [ 0, 1, 8, 27, 16, 5]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void subtractTest() { // >>> np.subtract(1.0, 4.0) // -3.0 // - - #if TODO + +#if TODO var given= np.subtract(1.0, 4.0); var expected= "-3.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> x1 = np.arange(9.0).reshape((3, 3)) // >>> x2 = np.arange(3.0) // >>> np.subtract(x1, x2) @@ -2442,8 +2443,8 @@ public void subtractTest() // [ 3., 3., 3.], // [ 6., 6., 6.]]) // - - #if TODO + +#if TODO given= x1 = np.arange(9.0).reshape((3, 3)); given= x2 = np.arange(3.0); given= np.subtract(x1, x2); @@ -2452,10 +2453,10 @@ public void subtractTest() " [ 3., 3., 3.],\n" + " [ 6., 6., 6.]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void true_divideTest() { @@ -2463,21 +2464,21 @@ public void true_divideTest() // >>> np.true_divide(x, 4) // array([ 0. , 0.25, 0.5 , 0.75, 1. ]) // - - #if TODO + +#if TODO var given= x = np.arange(5); given= np.true_divide(x, 4); var expected= "array([ 0. , 0.25, 0.5 , 0.75, 1. ])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> x/4 // array([0, 0, 0, 0, 1]) // >>> x//4 // array([0, 0, 0, 0, 1]) // - - #if TODO + +#if TODO given= x/4; expected= "array([0, 0, 0, 0, 1])"; @@ -2486,15 +2487,15 @@ public void true_divideTest() expected= "array([0, 0, 0, 0, 1])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> from __future__ import division // >>> x/4 // array([ 0. , 0.25, 0.5 , 0.75, 1. ]) // >>> x//4 // array([0, 0, 0, 0, 1]) // - - #if TODO + +#if TODO given= from __future__ import division; given= x/4; expected= @@ -2504,10 +2505,10 @@ public void true_divideTest() expected= "array([0, 0, 0, 0, 1])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void floor_divideTest() { @@ -2516,8 +2517,8 @@ public void floor_divideTest() // >>> np.floor_divide([1., 2., 3., 4.], 2.5) // array([ 0., 0., 1., 1.]) // - - #if TODO + +#if TODO var given= np.floor_divide(7,3); var expected= "2"; @@ -2526,23 +2527,23 @@ public void floor_divideTest() expected= "array([ 0., 0., 1., 1.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void float_powerTest() { // Cube each element in a list. - + // >>> x1 = range(6) // >>> x1 // [0, 1, 2, 3, 4, 5] // >>> np.float_power(x1, 3) // array([ 0., 1., 8., 27., 64., 125.]) // - - #if TODO + +#if TODO var given= x1 = range(6); given= x1; var expected= @@ -2552,23 +2553,23 @@ public void float_powerTest() expected= "array([ 0., 1., 8., 27., 64., 125.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Raise the bases to different exponents. - + // >>> x2 = [1.0, 2.0, 3.0, 3.0, 2.0, 1.0] // >>> np.float_power(x1, x2) // array([ 0., 1., 8., 27., 16., 5.]) // - - #if TODO + +#if TODO given= x2 = [1.0, 2.0, 3.0, 3.0, 2.0, 1.0]; given= np.float_power(x1, x2); expected= "array([ 0., 1., 8., 27., 16., 5.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // The effect of broadcasting. - + // >>> x2 = np.array([[1, 2, 3, 3, 2, 1], [1, 2, 3, 3, 2, 1]]) // >>> x2 // array([[1, 2, 3, 3, 2, 1], @@ -2577,8 +2578,8 @@ public void float_powerTest() // array([[ 0., 1., 8., 27., 16., 5.], // [ 0., 1., 8., 27., 16., 5.]]) // - - #if TODO + +#if TODO given= x2 = np.array({{1, 2, 3, 3, 2, 1}, {1, 2, 3, 3, 2, 1}}); given= x2; expected= @@ -2590,10 +2591,10 @@ public void float_powerTest() "array([[ 0., 1., 8., 27., 16., 5.],\n" + " [ 0., 1., 8., 27., 16., 5.]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void fmodTest() { @@ -2602,8 +2603,8 @@ public void fmodTest() // >>> np.remainder([-3, -2, -1, 1, 2, 3], 2) // array([1, 0, 1, 1, 0, 1]) // - - #if TODO + +#if TODO var given= np.fmod({-3, -2, -1, 1, 2, 3}, 2); var expected= "array([-1, 0, -1, 1, 0, 1])"; @@ -2612,7 +2613,7 @@ public void fmodTest() expected= "array([1, 0, 1, 1, 0, 1])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.fmod([5, 3], [2, 2.]) // array([ 1., 1.]) // >>> a = np.arange(-3, 3).reshape(3, 2) @@ -2625,8 +2626,8 @@ public void fmodTest() // [-1, 0], // [ 1, 0]]) // - - #if TODO + +#if TODO given= np.fmod({5, 3}, {2, 2.}); expected= "array([ 1., 1.])"; @@ -2644,10 +2645,10 @@ public void fmodTest() " [-1, 0],\n" + " [ 1, 0]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void modTest() { @@ -2656,8 +2657,8 @@ public void modTest() // >>> np.remainder(np.arange(7), 5) // array([0, 1, 2, 3, 4, 0, 1]) // - - #if TODO + +#if TODO var given= np.remainder({4, 7}, {2, 3}); var expected= "array([0, 1])"; @@ -2666,10 +2667,10 @@ public void modTest() expected= "array([0, 1, 2, 3, 4, 0, 1])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void modfTest() { @@ -2678,8 +2679,8 @@ public void modfTest() // >>> np.modf(-0.5) // (-0.5, -0) // - - #if TODO + +#if TODO var given= np.modf({0, 3.5}); var expected= "(array([ 0. , 0.5]), array([ 0., 3.]))"; @@ -2688,10 +2689,10 @@ public void modfTest() expected= "(-0.5, -0)"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void remainderTest() { @@ -2700,8 +2701,8 @@ public void remainderTest() // >>> np.remainder(np.arange(7), 5) // array([0, 1, 2, 3, 4, 0, 1]) // - - #if TODO + +#if TODO var given= np.remainder({4, 7}, {2, 3}); var expected= "array([0, 1])"; @@ -2710,26 +2711,26 @@ public void remainderTest() expected= "array([0, 1, 2, 3, 4, 0, 1])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void divmodTest() { // >>> np.divmod(np.arange(5), 3) // (array([0, 0, 0, 1, 1]), array([0, 1, 2, 0, 1])) // - - #if TODO + +#if TODO var given= np.divmod(np.arange(5), 3); var expected= "(array([0, 0, 0, 1, 1]), array([0, 1, 2, 0, 1]))"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void angleTest() { @@ -2738,8 +2739,8 @@ public void angleTest() // >>> np.angle(1+1j, deg=True) # in degrees // 45.0 // - - #if TODO + +#if TODO var given= np.angle({1.0, 1.0j, 1+1j}) # in radians; var expected= "array([ 0. , 1.57079633, 0.78539816])"; @@ -2748,10 +2749,10 @@ public void angleTest() expected= "45.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void realTest() { @@ -2767,8 +2768,8 @@ public void realTest() // >>> np.real(1 + 1j) // 1.0 // - - #if TODO + +#if TODO var given= a = np.array({1+2j, 3+4j, 5+6j}); given= a.real; var expected= @@ -2788,10 +2789,10 @@ public void realTest() expected= "1.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void imagTest() { @@ -2804,8 +2805,8 @@ public void imagTest() // >>> np.imag(1 + 1j) // 1.0 // - - #if TODO + +#if TODO var given= a = np.array({1+2j, 3+4j, 5+6j}); given= a.imag; var expected= @@ -2820,86 +2821,86 @@ public void imagTest() expected= "1.0"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void conjTest() { // >>> np.conjugate(1+2j) // (1-2j) // - - #if TODO + +#if TODO var given= np.conjugate(1+2j); var expected= "(1-2j)"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> x = np.eye(2) + 1j * np.eye(2) // >>> np.conjugate(x) // array([[ 1.-1.j, 0.-0.j], // [ 0.-0.j, 1.-1.j]]) // - - #if TODO + +#if TODO given= x = np.eye(2) + 1j * np.eye(2); given= np.conjugate(x); expected= "array([[ 1.-1.j, 0.-0.j],\n" + " [ 0.-0.j, 1.-1.j]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void convolveTest() { // Note how the convolution operator flips the second array // before “sliding” the two across one another: - + // >>> np.convolve([1, 2, 3], [0, 1, 0.5]) // array([ 0. , 1. , 2.5, 4. , 1.5]) // - - #if TODO + +#if TODO var given= np.convolve({1, 2, 3}, {0, 1, 0.5}); var expected= "array([ 0. , 1. , 2.5, 4. , 1.5])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Only return the middle values of the convolution. // Contains boundary effects, where zeros are taken // into account: - + // >>> np.convolve([1,2,3],[0,1,0.5], 'same') // array([ 1. , 2.5, 4. ]) // - - #if TODO + +#if TODO given= np.convolve({1,2,3},{0,1,0.5}, 'same'); expected= "array([ 1. , 2.5, 4. ])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // The two arrays are of the same length, so there // is only one position where they completely overlap: - + // >>> np.convolve([1,2,3],[0,1,0.5], 'valid') // array([ 2.5]) // - - #if TODO + +#if TODO given= np.convolve({1,2,3},{0,1,0.5}, 'valid'); expected= "array([ 2.5])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void clipTest() { @@ -2916,8 +2917,8 @@ public void clipTest() // >>> np.clip(a, [3, 4, 1, 1, 1, 4, 4, 4, 4, 4], 8) // array([3, 4, 2, 3, 4, 5, 6, 7, 8, 8]) // - - #if TODO + +#if TODO var given= a = np.arange(10); given= np.clip(a, 1, 8); var expected= @@ -2940,78 +2941,78 @@ public void clipTest() expected= "array([3, 4, 2, 3, 4, 5, 6, 7, 8, 8])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void sqrtTest() { // >>> np.sqrt([1,4,9]) // array([ 1., 2., 3.]) // - - #if TODO + +#if TODO var given= np.sqrt({1,4,9}); var expected= "array([ 1., 2., 3.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.sqrt([4, -1, -3+4J]) // array([ 2.+0.j, 0.+1.j, 1.+2.j]) // - - #if TODO + +#if TODO given= np.sqrt({4, -1, -3+4J}); expected= "array([ 2.+0.j, 0.+1.j, 1.+2.j])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.sqrt([4, -1, numpy.inf]) // array([ 2., NaN, Inf]) // - - #if TODO + +#if TODO given= np.sqrt({4, -1, numpy.inf}); expected= "array([ 2., NaN, Inf])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void cbrtTest() { // >>> np.cbrt([1,8,27]) // array([ 1., 2., 3.]) // - - #if TODO + +#if TODO var given= np.cbrt({1,8,27}); var expected= "array([ 1., 2., 3.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void squareTest() { // >>> np.square([-1j, 1]) // array([-1.-0.j, 1.+0.j]) // - - #if TODO + +#if TODO var given= np.square({-1j, 1}); var expected= "array([-1.-0.j, 1.+0.j])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void absoluteTest() { @@ -3021,8 +3022,8 @@ public void absoluteTest() // >>> np.absolute(1.2 + 1j) // 1.5620499351813308 // - - #if TODO + +#if TODO var given= x = np.array({-1.2, 1.2}); given= np.absolute(x); var expected= @@ -3032,40 +3033,40 @@ public void absoluteTest() expected= "1.5620499351813308"; Assert.AreEqual(expected, given.repr); - #endif +#endif // Plot the function over [-10, 10]: - + // >>> import matplotlib.pyplot as plt // - - #if TODO + +#if TODO given= import matplotlib.pyplot as plt; - #endif +#endif // >>> x = np.linspace(start=-10, stop=10, num=101) // >>> plt.plot(x, np.absolute(x)) // >>> plt.show() // - - #if TODO + +#if TODO given= x = np.linspace(start=-10, stop=10, num=101); given= plt.plot(x, np.absolute(x)); given= plt.show(); - #endif +#endif // Plot the function over the complex plane: - + // >>> xx = x + 1j * x[:, np.newaxis] // >>> plt.imshow(np.abs(xx), extent=[-10, 10, -10, 10], cmap='gray') // >>> plt.show() // - - #if TODO + +#if TODO given= xx = x + 1j * x{:, np.newaxis}; given= plt.imshow(np.abs(xx), extent={-10, 10, -10, 10}, cmap='gray'); given= plt.show(); - #endif +#endif } - - + + [TestMethod] public void fabsTest() { @@ -3074,8 +3075,8 @@ public void fabsTest() // >>> np.fabs([-1.2, 1.2]) // array([ 1.2, 1.2]) // - - #if TODO + +#if TODO var given= np.fabs(-1); var expected= "1.0"; @@ -3084,10 +3085,10 @@ public void fabsTest() expected= "array([ 1.2, 1.2])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void signTest() { @@ -3098,8 +3099,8 @@ public void signTest() // >>> np.sign(5-2j) // (1+0j) // - - #if TODO + +#if TODO var given= np.sign({-5., 4.5}); var expected= "array([-1., 1.])"; @@ -3112,10 +3113,10 @@ public void signTest() expected= "(1+0j)"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void heavisideTest() { @@ -3124,8 +3125,8 @@ public void heavisideTest() // >>> np.heaviside([-1.5, 0, 2.0], 1) // array([ 0., 1., 1.]) // - - #if TODO + +#if TODO var given= np.heaviside({-1.5, 0, 2.0}, 0.5); var expected= "array([ 0. , 0.5, 1. ])"; @@ -3134,42 +3135,42 @@ public void heavisideTest() expected= "array([ 0., 1., 1.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void maximumTest() { // >>> np.maximum([2, 3, 4], [1, 5, 2]) // array([2, 5, 4]) // - - #if TODO + +#if TODO var given= np.maximum({2, 3, 4}, {1, 5, 2}); var expected= "array([2, 5, 4])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.maximum(np.eye(2), [0.5, 2]) # broadcasting // array([[ 1. , 2. ], // [ 0.5, 2. ]]) // - - #if TODO + +#if TODO given= np.maximum(np.eye(2), {0.5, 2}) # broadcasting; expected= "array([[ 1. , 2. ],\n" + " [ 0.5, 2. ]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.maximum([np.nan, 0, np.nan], [0, np.nan, np.nan]) // array([ NaN, NaN, NaN]) // >>> np.maximum(np.Inf, 1) // inf // - - #if TODO + +#if TODO given= np.maximum({np.nan, 0, np.nan}, {0, np.nan, np.nan}); expected= "array([ NaN, NaN, NaN])"; @@ -3178,42 +3179,42 @@ public void maximumTest() expected= "inf"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void minimumTest() { // >>> np.minimum([2, 3, 4], [1, 5, 2]) // array([1, 3, 2]) // - - #if TODO + +#if TODO var given= np.minimum({2, 3, 4}, {1, 5, 2}); var expected= "array([1, 3, 2])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.minimum(np.eye(2), [0.5, 2]) # broadcasting // array([[ 0.5, 0. ], // [ 0. , 1. ]]) // - - #if TODO + +#if TODO given= np.minimum(np.eye(2), {0.5, 2}) # broadcasting; expected= "array([[ 0.5, 0. ],\n" + " [ 0. , 1. ]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.minimum([np.nan, 0, np.nan],[0, np.nan, np.nan]) // array([ NaN, NaN, NaN]) // >>> np.minimum(-np.Inf, 1) // -inf // - - #if TODO + +#if TODO given= np.minimum({np.nan, 0, np.nan},{0, np.nan, np.nan}); expected= "array([ NaN, NaN, NaN])"; @@ -3222,86 +3223,86 @@ public void minimumTest() expected= "-inf"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void fmaxTest() { // >>> np.fmax([2, 3, 4], [1, 5, 2]) // array([ 2., 5., 4.]) // - - #if TODO + +#if TODO var given= np.fmax({2, 3, 4}, {1, 5, 2}); var expected= "array([ 2., 5., 4.])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.fmax(np.eye(2), [0.5, 2]) // array([[ 1. , 2. ], // [ 0.5, 2. ]]) // - - #if TODO + +#if TODO given= np.fmax(np.eye(2), {0.5, 2}); expected= "array([[ 1. , 2. ],\n" + " [ 0.5, 2. ]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.fmax([np.nan, 0, np.nan],[0, np.nan, np.nan]) // array([ 0., 0., NaN]) // - - #if TODO + +#if TODO given= np.fmax({np.nan, 0, np.nan},{0, np.nan, np.nan}); expected= "array([ 0., 0., NaN])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void fminTest() { // >>> np.fmin([2, 3, 4], [1, 5, 2]) // array([1, 3, 2]) // - - #if TODO + +#if TODO var given= np.fmin({2, 3, 4}, {1, 5, 2}); var expected= "array([1, 3, 2])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.fmin(np.eye(2), [0.5, 2]) // array([[ 0.5, 0. ], // [ 0. , 1. ]]) // - - #if TODO + +#if TODO given= np.fmin(np.eye(2), {0.5, 2}); expected= "array([[ 0.5, 0. ],\n" + " [ 0. , 1. ]])"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.fmin([np.nan, 0, np.nan],[0, np.nan, np.nan]) // array([ 0., 0., NaN]) // - - #if TODO + +#if TODO given= np.fmin({np.nan, 0, np.nan},{0, np.nan, np.nan}); expected= "array([ 0., 0., NaN])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void nan_to_numTest() { @@ -3321,8 +3322,8 @@ public void nan_to_numTest() // 0.00000000e+000 +0.00000000e+000j, // 0.00000000e+000 +1.79769313e+308j]) // - - #if TODO + +#if TODO var given= np.nan_to_num(np.inf); var expected= "1.7976931348623157e+308"; @@ -3348,30 +3349,30 @@ public void nan_to_numTest() " 0.00000000e+000 +0.00000000e+000j,\n" + " 0.00000000e+000 +1.79769313e+308j])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void real_if_closeTest() { // >>> np.finfo(float).eps // 2.2204460492503131e-16 // - - #if TODO + +#if TODO var given= np.finfo(float).eps; var expected= "2.2204460492503131e-16"; Assert.AreEqual(expected, given.repr); - #endif +#endif // >>> np.real_if_close([2.1 + 4e-14j], tol=1000) // array([ 2.1]) // >>> np.real_if_close([2.1 + 4e-13j], tol=1000) // array([ 2.1 +4.00000000e-13j]) // - - #if TODO + +#if TODO given= np.real_if_close({2.1 + 4e-14j}, tol=1000); expected= "array([ 2.1])"; @@ -3380,10 +3381,10 @@ public void real_if_closeTest() expected= "array([ 2.1 +4.00000000e-13j])"; Assert.AreEqual(expected, given.repr); - #endif +#endif } - - + + [TestMethod] public void interpTest() { @@ -3397,91 +3398,53 @@ public void interpTest() // >>> np.interp(3.14, xp, fp, right=UNDEF) // -99.0 // - - #if TODO - var given= xp = [1, 2, 3]; - given= fp = [3, 2, 0]; - given= np.interp(2.5, xp, fp); - var expected= - "1.0"; - Assert.AreEqual(expected, given.repr); - given= np.interp({0, 1, 1.5, 2.72, 3.14}, xp, fp); - expected= - "array([ 3. , 3. , 2.5 , 0.56, 0. ])"; - Assert.AreEqual(expected, given.repr); - given= UNDEF = -99.0; - given= np.interp(3.14, xp, fp, right=UNDEF); - expected= - "-99.0"; - Assert.AreEqual(expected, given.repr); - #endif - // Plot an interpolant to the sine function: - - // >>> x = np.linspace(0, 2*np.pi, 10) - // >>> y = np.sin(x) - // >>> xvals = np.linspace(0, 2*np.pi, 50) - // >>> yinterp = np.interp(xvals, x, y) - // >>> import matplotlib.pyplot as plt - // >>> plt.plot(x, y, 'o') - // [] - // >>> plt.plot(xvals, yinterp, '-x') - // [] - // >>> plt.show() - // - - #if TODO - given= x = np.linspace(0, 2*np.pi, 10); - given= y = np.sin(x); - given= xvals = np.linspace(0, 2*np.pi, 50); - given= yinterp = np.interp(xvals, x, y); - given= import matplotlib.pyplot as plt; - given= plt.plot(x, y, 'o'); - expected= - "[]"; - Assert.AreEqual(expected, given.repr); - given= plt.plot(xvals, yinterp, '-x'); - expected= - "[]"; + + var xp = new float[] { 1, 2, 3 }; + var fp = new float[] { 3, 2, 0 }; + Assert.AreEqual(1.0f, np.interp(2.5f, xp, fp)); + + var given = np.interp(new float[] { 0, 1, 1.5f, 2.72f, 3.14f }, xp, fp); + var expected = + "array([3. , 3. , 2.5 , 0.55999994, 0. ])"; Assert.AreEqual(expected, given.repr); - given= plt.show(); - #endif + + var UNDEF = -99.0f; + Assert.AreEqual(-99.0f, np.interp(3.14f, xp, fp, right: UNDEF)); + // Interpolation with periodic x-coordinates: - + // >>> x = [-180, -170, -185, 185, -10, -5, 0, 365] // >>> xp = [190, -190, 350, -350] // >>> fp = [5, 10, 3, 4] // >>> np.interp(x, xp, fp, period=360) // array([7.5, 5., 8.75, 6.25, 3., 3.25, 3.5, 3.75]) // - - #if TODO - given= x = [-180, -170, -185, 185, -10, -5, 0, 365]; - given= xp = [190, -190, 350, -350]; - given= fp = [5, 10, 3, 4]; - given= np.interp(x, xp, fp, period=360); - expected= - "array([7.5, 5., 8.75, 6.25, 3., 3.25, 3.5, 3.75])"; + + //var x = [-180, -170, -185, 185, -10, -5, 0, 365]; + var x = new float[] { -180, -170, -185, 185, -10, -5, 0, 365 }; + xp = new float[] { 190, -190, 350, -350 }; + fp = new float[] { 5, 10, 3, 4 }; + given = np.interp(x, xp, fp, period: 360); + expected = + "array([7.5 , 5. , 8.75, 6.25, 3. , 3.25, 3.5 , 3.75])"; Assert.AreEqual(expected, given.repr); - #endif + // Complex interpolation: - + // >>> x = [1.5, 4.0] // >>> xp = [2,3,5] // >>> fp = [1.0j, 0, 2+3j] // >>> np.interp(x, xp, fp) // array([ 0.+1.j , 1.+1.5j]) - // - - #if TODO - given= x = [1.5, 4.0]; - given= xp = [2,3,5]; - given= fp = [1.0j, 0, 2+3j]; - given= np.interp(x, xp, fp); - expected= - "array([ 0.+1.j , 1.+1.5j])"; + + x = new float[] { 1.5f, 4.0f }; + xp = new float[] { 2, 3, 5 }; + var fp2 = new [] { new Complex(0, 1), new Complex(0, 0), new Complex(2, 3) }; + given = np.interp(x, xp, fp2); + expected = + "array([0.+1.j , 1.+1.5j])"; Assert.AreEqual(expected, given.repr); - #endif } - + } } diff --git a/test/Numpy.UnitTest/NumpyTest.cs b/test/Numpy.UnitTest/NumpyTest.cs index d7d616e..e65c58c 100644 --- a/test/Numpy.UnitTest/NumpyTest.cs +++ b/test/Numpy.UnitTest/NumpyTest.cs @@ -1,6 +1,7 @@ using System; using System.Collections.Generic; using System.Drawing; +using System.Globalization; using System.IO; using System.Linq; using System.Numerics; @@ -351,14 +352,14 @@ public void ndarray_masking1() " [[15, 16, 17, 18, 19],\n" + " [20, 21, 22, 23, 24],\n" + " [25, 26, 27, 28, 29]]])", - x.repr); + x.repr); var b = np.array(new[,] { { true, true, false }, { false, true, true } }); Assert.AreEqual( "array([[ 0, 1, 2, 3, 4],\n" + " [ 5, 6, 7, 8, 9],\n" + " [20, 21, 22, 23, 24],\n" + " [25, 26, 27, 28, 29]])", - x[b].repr); + x[b].repr); } [TestMethod] @@ -641,12 +642,11 @@ public void ComplexNumbers() public void IssueByXlient() { var points = new Point[] { new Point(0, 0), new Point(17, 4), new Point(2, 22), new Point(10, 7), }; - int[,] Pts = new int[,] - { - {points[0].X, points[0].Y }, - {points[1].X, points[1].Y }, - {points[2].X, points[2].Y } , - {points[3].X, points[3].Y } + int[,] Pts = new int[,] { + { points[0].X, points[0].Y }, + { points[1].X, points[1].Y }, + { points[2].X, points[2].Y }, + { points[3].X, points[3].Y } }; // exception here / deadlock @@ -674,7 +674,7 @@ public void IssueByVolgaone() Assert.AreEqual("1,2,3", string.Join(",", row0Data)); var col1 = n[":,1"]; //extract 1st column - NDarray is [2 5 8] as expected Assert.AreEqual("array([2., 5., 8.], dtype=float32)", col1.repr); - var col1Data = col1.GetData();//this is wrong - {2,3,4} + var col1Data = col1.GetData(); //this is wrong - {2,3,4} Assert.AreEqual("2,5,8", string.Join(",", col1Data)); } @@ -951,8 +951,8 @@ public async Task IssueByMrCOrrupted() np.savez_compressed(filename, null, arrays); var archive = np.load(filename); Console.WriteLine(archive.repr); - var a = new NDarray( archive.PyObject["a"]); - var b = new NDarray( archive.PyObject["b"]); + var a = new NDarray(archive.PyObject["a"]); + var b = new NDarray(archive.PyObject["b"]); Console.WriteLine(a.repr); Console.WriteLine(b.repr); Assert.AreEqual("array([[0, 1, 2],\n [3, 4, 5]])", a.repr); @@ -962,8 +962,8 @@ public async Task IssueByMrCOrrupted() [TestMethod] public async Task AsscalarRemovedInNumpyV1_23() { - Assert.AreEqual(143, new NDarray(new int[]{143}).asscalar()); - Assert.AreEqual(143d, new NDarray(new [] { 143d }).asscalar()); + Assert.AreEqual(143, new NDarray(new int[] { 143 }).asscalar()); + Assert.AreEqual(143d, new NDarray(new[] { 143d }).asscalar()); Assert.AreEqual(143d, new NDarray(new[] { 143d }).item()); } @@ -972,7 +972,7 @@ public async Task IssueByMaLichtenegger() { // byte array als uint32 array var bytes = new byte[] { 1, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 0 }; - var uints =np.zeros(new Shape(3), np.uint32); + var uints = np.zeros(new Shape(3), np.uint32); Console.WriteLine(uints.repr); var ctypes = uints.PyObject.ctypes; long ptr = ctypes.data; @@ -1030,7 +1030,7 @@ public async Task F16Workaround() // these bytes in binary notation correspond to f16 numbers 1, -1 and 65504 (float16 max value) // note, the bytes are in reversed order to the bits shown above - var bytes = new byte[] { + var bytes = new byte[] { 0b00000000, 0b00111100, // 1 0b00000000, 0b10111100, // -1 0b11111111, 0b01111011, // 65504 @@ -1038,7 +1038,7 @@ public async Task F16Workaround() var floats = np.zeros(new Shape(3), np.float16); Console.WriteLine(floats.repr); // note, the using prevents a mem-leak with ctypes - using (var ctypes = floats.PyObject.ctypes) { + using (var ctypes = floats.PyObject.ctypes) { long ptr = ctypes.data; Marshal.Copy(bytes, 0, new IntPtr(ptr), bytes.Length); } @@ -1046,8 +1046,104 @@ public async Task F16Workaround() Assert.AreEqual("array([ 1.00e+00, -1.00e+00, 6.55e+04], dtype=float16)", floats.repr); } - // TODO: https://docs.scipy.org/doc/numpy/user/basics.indexing.html?highlight=slice#structural-indexing-tools - // TODO: https://docs.scipy.org/doc/numpy/user/basics.indexing.html?highlight=slice#assigning-values-to-indexed-arrays - // TODO: https://docs.scipy.org/doc/numpy/user/basics.indexing.html?highlight=slice#dealing-with-variable-numbers-of-indices-within-programs + + [TestMethod] + public async Task IssueByTimiil() + { + //>>> img = np.arange(27).reshape(3, 3, 3) + //>>> img + //array([[[0, 1, 2], + // [ 3, 4, 5], + // [ 6, 7, 8]], + + // [[ 9, 10, 11], + // [12, 13, 14], + // [15, 16, 17]], + + // [[18, 19, 20], + // [21, 22, 23], + // [24, 25, 26]]]) + //>>> fft_img = np.fft.fft2(img) + //>>> fft_img = np.fft.fftshift(fft_img) + //>>> fft_img + //array([[[0. + 0.j, -13.5 - 7.79422863j, 0. + 0.j], + // [ -4.5 - 2.59807621j, 198. + 0.j , -4.5 + 2.59807621j], + // [ 0. + 0.j , -13.5 + 7.79422863j, 0. + 0.j ]], + + // [[ 0. + 0.j , -13.5 - 7.79422863j, 0. + 0.j ], + // [ -4.5 - 2.59807621j, 36. + 0.j , -4.5 + 2.59807621j], + // [ 0. + 0.j , -13.5 + 7.79422863j, 0. + 0.j ]], + + // [[ 0. + 0.j , -13.5 - 7.79422863j, 0. + 0.j ], + // [ -4.5 - 2.59807621j, 117. + 0.j , -4.5 + 2.59807621j], + // [ 0. + 0.j , -13.5 + 7.79422863j, 0. + 0.j ]]]) + var img = np.arange(27).reshape(3, 3, 3); + var fft_img = np.fft.fft2(img); + fft_img = np.fft.fftshift(fft_img); + Console.WriteLine(fft_img.repr); + Assert.AreEqual(@"array([[[ 0. +0.j , -13.5-7.79422863j, 0. +0.j ], + [ -4.5-2.59807621j, 198. +0.j , -4.5+2.59807621j], + [ 0. +0.j , -13.5+7.79422863j, 0. +0.j ]], + + [[ 0. +0.j , -13.5-7.79422863j, 0. +0.j ], + [ -4.5-2.59807621j, 36. +0.j , -4.5+2.59807621j], + [ 0. +0.j , -13.5+7.79422863j, 0. +0.j ]], + + [[ 0. +0.j , -13.5-7.79422863j, 0. +0.j ], + [ -4.5-2.59807621j, 117. +0.j , -4.5+2.59807621j], + [ 0. +0.j , -13.5+7.79422863j, 0. +0.j ]]])".Replace("\r", ""), fft_img.repr); + } + + [TestMethod] + public void IssueByPandath() + { + //>>> grid = np.array([[1, 2, 3, 0, 0, 4], [5, 6, 7, 0, 0, 8]]) + //>>> xs, ys = np.where(grid == 0) + //>>> xs + //array([0, 0, 1, 1], dtype = int64) + //>>> ys + //array([3, 4, 3, 4], dtype = int64) + + var grid = np.array(new[,] { { 1, 2, 3, 0, 0, 4 }, { 5, 6, 7, 0, 0, 8 } }); + var result = np.where(grid.equals(0)); + Console.WriteLine(result[0].repr); + Console.WriteLine(result[1].repr); + Assert.AreEqual("array([0, 0, 1, 1], dtype=int64)", result[0].repr); + Assert.AreEqual("array([3, 4, 3, 4], dtype=int64)", result[1].repr); + } + + [TestMethod] + public void IssueByXiaozhu1988() + { + //>>> data = np.array([10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120]) + //>>> (data >= 50) & (data < 100) + //array([False, False, False, False, True, True, True, True, True, + // False, False, False]) + + var data = np.array(new[] { 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120 }); + Console.WriteLine(((data >= 50) & (data < 100)).repr); + Assert.AreEqual("array([False, False, False, False, True, True, True, True, True,\n False, False, False])", ((data >= 50) & (data < 100)).repr); + Console.WriteLine(((data >= 50) | (data < 100)).repr); + Assert.AreEqual("array([ True, True, True, True, True, True, True, True, True,\n True, True, True])", ((data >= 50) | (data < 100)).repr); + Console.WriteLine(((data >= 50) ^ (data < 100)).repr); + Assert.AreEqual("array([ True, True, True, True, False, False, False, False, False,\n True, True, True])", ((data >= 50) ^ (data < 100)).repr); + } + + [TestMethod] + public void IssueByElinLiu0() + { + var x = np.array(new float[,] { { 1.1f, 2.2f }, { 3.141596f, 4.4f } }); + var y = string.Join(',', x.GetData().Select(z => z.ToString(CultureInfo.InvariantCulture))); + Console.WriteLine("Proof: " + y); + Assert.AreEqual("1.1,2.2,3.141596,4.4", y); + } } + + + + + // TODO: https://docs.scipy.org/doc/numpy/user/basics.indexing.html?highlight=slice#structural-indexing-tools + // TODO: https://docs.scipy.org/doc/numpy/user/basics.indexing.html?highlight=slice#assigning-values-to-indexed-arrays + // TODO: https://docs.scipy.org/doc/numpy/user/basics.indexing.html?highlight=slice#dealing-with-variable-numbers-of-indices-within-programs + }