/*

* NumSharp

* Copyright (C) 2018 Haiping Chen

*

* This program is free software: you can redistribute it and/or modify

* it under the terms of the Apache License 2.0 as published by

* the Free Software Foundation, either version 3 of the License, or

* (at your option) any later version.

*

* This program is distributed in the hope that it will be useful,

* but WITHOUT ANY WARRANTY; without even the implied warranty of

* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the

* GNU General Public License for more details.

*

* You should have received a copy of the Apache License 2.0

* along with this program. If not, see <http://www.apache.org/licenses/LICENSE-2.0/>.

*/

using System;

using System.Collections.Generic;

namespace NumSharp

{

public partial class NDArray

{

/// <summary>

/// low performance due to loop element-wise

/// </summary>

/// <param name="dotNetArray"></param>

private static NDArray FromJaggedArray<T>(Array dotNetArray)

{

if (!dotNetArray.GetType().GetElementType().IsArray)

throw new Exception("Multi dim arrays are not allowed here!");

var dimList = new List<int>();

dimList.Add(dotNetArray.Length);

object currentArr = dotNetArray;

while (currentArr.GetType().GetElementType().IsArray)

{

Array child = (Array)((Array)currentArr).GetValue(0);

dimList.Add(child.Length);

currentArr = child;

}

switch (dimList.Count)

{

case 1:

return np.array((T[])dotNetArray);

case 2:

return np.array((T[][])dotNetArray);

case 3:

return np.array((T[][][])dotNetArray);

case 4:

return np.array((T[][][][])dotNetArray);

}

throw new NotImplementedException("FromJaggedArray<T>(Array dotNetArray)");

}

}

}