/// <summary>
/// Creates a scalar <see cref="NDArray"/> of <see cref="value"/> and <see cref="dtype"/>.
/// </summary>
/// <param name="value">The value of the scalar</param>
/// <param name="typeCode">The type code of the scalar.</param>
/// <returns></returns>
/// <remarks>In case when <see cref="value"/> is not <see cref="dtype"/>, <see cref="Convert.ChangeType(object,System.Type)"/> will be called.</remarks>
public static NDArray Scalar(object value, NPTypeCode typeCode)
{
var type = typeCode.AsType();
var ndArray = new NDArray(type, new int[0]);
ndArray.Storage.ReplaceData(Arrays.Wrap(typeCode, Convert.ChangeType(value, type))); //todo! create a NPConvert to support NPTypeCode
return(ndArray);
}
/// <summary>
/// Construct an array from data in a text or binary file.
/// A highly efficient way of reading binary data with a known data-type, as well as parsing simply formatted text files. Data written using the tofile method can be read using this function.
/// </summary>
/// <param name="file">filename.</param>
/// <param name="dtype">Data type of the returned array. For binary files, it is used to determine the size and byte-order of the items in the file.</param>
/// <returns></returns>
/// <remarks>https://docs.scipy.org/doc/numpy/reference/generated/numpy.fromfile.html</remarks>
public static NDArray fromfile(string file, NPTypeCode dtype)
{
return fromfile(file, dtype.AsType());
}
