public static NDArray array(Array array, Type dtype = null, int ndmin = 1, bool copy = true, char order = 'C')
{
var arrType = array.ResolveElementType();
//handle dim expansion and extract shape
Shape shape;
var dims = array.ResolveRank();
var missing = dims - ndmin;
if (missing < 0)
{
shape = Arrays.Concat(Enumerable.Repeat(1, Math.Abs(missing)).ToArray(), Shape.ExtractShape(array));
}
else
{
shape = Shape.ExtractShape(array);
}
//flatten
if (shape.NDim > 1)
{
array = Arrays.Flatten(array);
copy = false;
}
if (dtype != null && dtype != arrType)
{
array = ArrayConvert.To(array, dtype);
copy = false;
}
return(new NDArray(copy ? (Array)array.Clone() : array, shape, order));
}
/// <summary>
/// Constructor which takes .NET array
/// dtype and shape is determined from array
/// </summary>
/// <param name="values"></param>
/// <param name="shape"></param>
/// <param name="order"></param>
/// <returns>Array with values</returns>
/// <remarks>This constructor calls <see cref="IStorage.Allocate(NumSharp.Shape,System.Type)"/></remarks>
public NDArray(Array values, Shape shape = default, char order = 'C') : this(values.GetType().GetElementType())
{
if (order != 'C')
shape.ChangeTensorLayout(order);
if (shape.IsEmpty)
shape = Shape.ExtractShape(values);
Storage.Allocate(values.ResolveRank() != 1 ? ArraySlice.FromArray(Arrays.Flatten(values), false) : ArraySlice.FromArray(values, false), shape);
}
