FilesExpand file tree

master

/

np.array.cs

Copy path

Blame

More file actions

Blame

More file actions

Latest commit

 

History

History

History

204 lines (185 loc) · 10.1 KB

master

/

np.array.cs

Copy path

Top

File metadata and controls

• Code
• Blame

204 lines (185 loc) · 10.1 KB

Raw

Copy raw file

Download raw file

Open symbols panel

Edit and raw actions

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

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

61

62

63

64

65

66

67

68

69

70

71

72

73

74

75

76

77

78

79

80

81

82

83

84

85

86

87

88

89

90

91

92

93

94

95

96

97

98

99

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

using System;

using System.Collections.Generic;

using System.Linq;

using System.Numerics;

using System.Runtime.InteropServices;

using System.Text;

using Numpy.Models;

using Python.Runtime;

namespace Numpy

{

public static partial class np

{

/// <summary>

/// Create an array.

///

/// <param name="data">

/// The array to initialize the ndarray with

/// </param>

/// <returns>

/// An array object satisfying the specified requirements.

/// </returns>

public static NDarray<T> array<T>(params T[] data) where T : struct

{

var __self__ = self;

return array(data, dtype:null);

}

public static NDarray array(NDarray @object, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null)

{

var __self__ = self;

var args = ToTuple(new object[]

{

@object,

});

var kwargs = new PyDict();

if (dtype != null) kwargs["dtype"] = ToPython(dtype);

if (copy != null) kwargs["copy"] = ToPython(copy);

if (order != null) kwargs["order"] = ToPython(order);

if (subok != null) kwargs["subok"] = ToPython(subok);

if (ndmin != null) kwargs["ndmin"] = ToPython(ndmin);

dynamic py = self.InvokeMethod("array", args, kwargs);

return ToCsharp<NDarray>(py);

}

public static NDarray<T> array<T>(T[] @object, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null) where T : struct

{

var __self__ = self;

var type = @object.GetDtype();

var ndarray = np.empty(new Shape(@object.Length), dtype: type, order: order);

if (@object.Length == 0)

return new NDarray<T>(ndarray);

long ptr = ndarray.PyObject.ctypes.data;

switch ((object)@object)

{

case char[] a: Marshal.Copy(a, 0, new IntPtr(ptr), a.Length); break;

case byte[] a: Marshal.Copy(a, 0, new IntPtr(ptr), a.Length); break;

case short[] a: Marshal.Copy(a, 0, new IntPtr(ptr), a.Length); break;

case int[] a: Marshal.Copy(a, 0, new IntPtr(ptr), a.Length); break;

case long[] a: Marshal.Copy(a, 0, new IntPtr(ptr), a.Length); break;

case float[] a: Marshal.Copy(a, 0, new IntPtr(ptr), a.Length); break;

case double[] a: Marshal.Copy(a, 0, new IntPtr(ptr), a.Length); break;

case bool[] a:

var bytes = a.Select(x => (byte)(x ? 1 : 0)).ToArray();

Marshal.Copy(bytes, 0, new IntPtr(ptr), a.Length);

break;

case Complex[] a:

var real = new double[@object.Length];

var imag = new double[@object.Length];

for (int i = 0; i < @object.Length; i++)

{

real[i] = a[i].Real;

imag[i] = a[i].Imaginary;

}

var ndreal = np.array(real);

var ndimag = np.array(imag);

ndarray.real = ndreal;

ndarray.imag = ndimag;

break;

}

if (dtype !=null || subok != null || ndmin != null)

return new NDarray<T>(np.array(ndarray, dtype:dtype, copy: false, subok: subok, ndmin: ndmin));

return new NDarray<T>(ndarray);

}

public static NDarray<T> array<T>(T[,] @object, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null) where T : struct

{

var __self__ = self;

var d1_array = @object.Cast<T>().ToArray();

var shape = new Shape(@object.GetLength(0), @object.GetLength(1));

var ndarray = array<T>(d1_array, dtype, copy, order, subok, ndmin);

return new NDarray<T>(ndarray.reshape(shape));

}

public static NDarray<T> array<T>(T[,,] data, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null) where T : struct

{

var __self__ = self;

var d1_array = data.Cast<T>().ToArray();

var shape = new Shape(data.GetLength(0), data.GetLength(1), data.GetLength(2));

var ndarray = array<T>(d1_array, dtype, copy, order, subok, ndmin);

return new NDarray<T>(ndarray.reshape(shape));

}

public static NDarray<T> array<T>(T[,,,] data, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null) where T : struct

{

var __self__ = self;

var d1_array = data.Cast<T>().ToArray();

var shape = new Shape(data.GetLength(0), data.GetLength(1), data.GetLength(2), data.GetLength(3));

var ndarray = array<T>(d1_array, dtype, copy, order, subok, ndmin);

return new NDarray<T>(ndarray.reshape(shape));

}

public static NDarray<T> array<T>(T[,,,,] data, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null) where T : struct

{

var __self__ = self;

var d1_array = data.Cast<T>().ToArray();

var shape = new Shape(data.GetLength(0), data.GetLength(1), data.GetLength(2), data.GetLength(3), data.GetLength(4));

var ndarray = array<T>(d1_array, dtype, copy, order, subok, ndmin);

return new NDarray<T>( ndarray.reshape(shape));

}

public static NDarray<T> array<T>(T[,,,,,] data, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null) where T : struct

{

var __self__ = self;

var d1_array = data.Cast<T>().ToArray();

var shape = new Shape(data.GetLength(0), data.GetLength(1), data.GetLength(2), data.GetLength(3), data.GetLength(4), data.GetLength(5));

var ndarray = array<T>(d1_array, dtype, copy, order, subok, ndmin);

return new NDarray<T>(ndarray.reshape(shape));

}

public static NDarray array(string[] strings, int? itemsize = null, bool? copy = null, bool? unicode = null, string order = null)

{

var __self__ = self;

var args = new PyTuple(new PyObject[] { new PyList(strings.Select(s => new PyString(s) as PyObject).ToArray()) });

//var args = new PyList(new PyObject[0]);

//foreach (var s in strings)

// args.Append(new PyString(s));

var kwargs = new PyDict();

if (itemsize != null) kwargs["itemsize"] = ToPython(itemsize);

if (copy != null) kwargs["copy"] = ToPython(copy);

if (unicode != null) kwargs["unicode"] = ToPython(unicode);

if (order != null) kwargs["order"] = ToPython(order);

dynamic py = self.InvokeMethod("array", args, kwargs);

return ToCsharp<NDarray>(py);

}

public static NDarray array<T>(NDarray<T>[] arrays, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null)

=> array(arrays.OfType<NDarray>(), dtype, copy, order, subok, ndmin);

public static NDarray array<T>(IEnumerable<NDarray<T>> arrays, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null)

=> array(arrays.OfType<NDarray>(), dtype, copy, order, subok, ndmin);

public static NDarray array(List<NDarray> arrays, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null)

=> array((IEnumerable<NDarray>) arrays, dtype, copy, order, subok, ndmin);

public static NDarray array(NDarray[] arrays, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null)

=> array((IEnumerable<NDarray>)arrays, dtype, copy, order, subok, ndmin);

public static NDarray array(IEnumerable<NDarray> arrays, Dtype dtype = null, bool? copy = null, string order = null, bool? subok = null, int? ndmin = null)

{

var __self__ = self;

var args = new PyTuple(new PyObject[]{ new PyList(arrays.Select(nd => nd.PyObject as PyObject).ToArray())});

var kwargs = new PyDict();

if (dtype != null) kwargs["dtype"] = ToPython(dtype);

if (copy != null) kwargs["copy"] = ToPython(copy);

if (order != null) kwargs["order"] = ToPython(order);

if (subok != true) kwargs["subok"] = ToPython(subok);

if (ndmin != null) kwargs["ndmin"] = ToPython(ndmin);

dynamic py = self.InvokeMethod("array", args, kwargs);

//dynamic py = dynamic_self.array(arrays, dtype, copy, order, subok, ndmin);

return ToCsharp<NDarray>(py);

}

public static NDarray asarray(ValueType scalar, Dtype dtype = null)

{

var __self__ = self;

var pyargs = ToTuple(new object[]

{

scalar,

});

var kwargs = new PyDict();

if (dtype != null) kwargs["dtype"] = ToPython(dtype);

dynamic py = __self__.InvokeMethod("asarray", pyargs, kwargs);

return ToCsharp<NDarray>(py);

}

/// <summary>

/// Convert an array of size 1 to its scalar equivalent.

/// </summary>

/// <returns>

/// Scalar representation of a. The output data type is the same type

/// returned by the input’s item method.

/// </returns>

public static T asscalar<T>(NDarray a)

{

if (typeof(T) == typeof(Complex))

return (T)(object) new Complex(a.real.asscalar<double>(), a.imag.asscalar<double>());

return self.InvokeMethod("asscalar", a.PyObject).As<T>();

}

}

}