using System;

namespace NumSharp

{

public static partial class np

{

/// <summary>

/// Convert the input to an ndarray, but pass ndarray subclasses through.

/// </summary>

/// <param name="a">Input data, in any form that can be converted to an array. This includes scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.</param>

/// <param name="dtype">By default, the data-type is inferred from the input data.</param>

/// <returns>Array interpretation of a. If a is an ndarray or a subclass of ndarray, it is returned as-is and no copy is performed.</returns>

/// <remarks>https://docs.scipy.org/doc/numpy/reference/generated/numpy.asanyarray.html</remarks>

public static NDArray asanyarray(in object a, Type dtype = null) //todo support order

{

NDArray ret;

switch (a) {

case null:

throw new ArgumentNullException(nameof(a));

case NDArray nd:

return nd;

case Array array:

ret = new NDArray(array);

break;

case string str:

ret = str; //implicit cast located in NDArray.Implicit.Array

break;

default:

var type = a.GetType();

//is it a scalar

if (type.IsPrimitive || type == typeof(decimal))

{

ret = NDArray.Scalar(a);

break;

}

throw new NotSupportedException($"Unable resolve asanyarray for type {a.GetType().Name}");

}

if (dtype != null && a.GetType() != dtype)

return ret.astype(dtype, true);

return ret;

}

}

}