using System;

using System.Collections.Generic;

using System.Linq;

using System.Runtime.InteropServices;

using System.Text;

using Numpy;

using Numpy.Models;

using Python.Runtime;

namespace Numpy

{

public partial class NumPy

{

/// <summary>

/// Random values in a given shape.<br></br>

///

/// Create an array of the given shape and populate it with

/// random samples from a uniform distribution

/// over [0, 1).<br></br>

///

/// Notes

///

/// This is a convenience function.<br></br>

/// If you want an interface that

/// takes a shape-tuple as the first argument, refer to

/// np.random.random_sample .

/// </summary>

/// <returns>

/// Random values.

/// </returns>

public NDarray random_rand(params int[] shape)

{

//auto-generated code, do not change

var random = self.GetAttr("random");

var __self__ = random;

var pyargs = ToTuple(shape);

var kwargs = new PyDict();

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

return ToCsharp<NDarray>(py);

}

/// <summary>

/// Return a sample (or samples) from the “standard normal” distribution.<br></br>

///

/// If positive, int_like or int-convertible arguments are provided,

/// randn generates an array of shape (d0, d1, ..., dn), filled

/// with random floats sampled from a univariate “normal” (Gaussian)

/// distribution of mean 0 and variance 1 (if any of the are

/// floats, they are first converted to integers by truncation).<br></br>

/// A single

/// float randomly sampled from the distribution is returned if no

/// argument is provided.<br></br>

///

/// This is a convenience function.<br></br>

/// If you want an interface that takes a

/// tuple as the first argument, use numpy.random.standard_normal instead.<br></br>

///

/// Notes

///

/// For random samples from , use:

///

/// sigma * np.random.randn(...) + mu

/// </summary>

/// <returns>

/// A (d0, d1, ..., dn)-shaped array of floating-point samples from

/// the standard normal distribution, or a single such float if

/// no parameters were supplied.

/// </returns>

public NDarray random_randn(params int[] shape)

{

//auto-generated code, do not change

var random = self.GetAttr("random");

var __self__ = random;

var pyargs = ToTuple(shape);

var kwargs = new PyDict();

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

return ToCsharp<NDarray>(py);

}

}

}