public static void Main(string[] args)
{
// going to pickle a c# datastructure
var map = new Dictionary<string, object>();
map["apple"] = 42;
map["microsoft"] = "hello";
var values = new List<double>();
values.AddRange(new double[] { 1.11, 2.22, 3.33, 4.44, 5.55} );
map["values"] = values;
// You can add many other types if you like. See the readme about the type mappings.
const string PickleFilename = "testpickle.dat";
Console.WriteLine("Writing pickle to '{0}'", PickleFilename);
var pickler = new Pickler(true);
using(FileStream fos = new FileStream(PickleFilename, FileMode.Create))
{
pickler.dump(map, fos);
}
Console.WriteLine("Done. Try unpickling it in python.\n");
Console.WriteLine("Reading a pickle created in python...");
// the following pickle was created in Python 3.4.
// it is this data: [1, 2, 3, (11, 12, 13), {'banana', 'grape', 'apple'}]
byte[] pythonpickle = new byte[] {128, 4, 149, 48, 0, 0, 0, 0, 0, 0, 0, 93, 148, 40, 75, 1, 75, 2, 75, 3, 75, 11, 75, 12, 75, 13, 135, 148, 143, 148, 40, 140, 6, 98, 97, 110, 97, 110, 97, 148, 140, 5, 103, 114, 97, 112, 101, 148, 140, 5, 97, 112, 112, 108, 101, 148, 144, 101, 46};
var unpickler = new Unpickler();
object result = unpickler.loads(pythonpickle);
Console.WriteLine("type: {0}", result.GetType());
var list = (ArrayList) result;
int integer1 = (int)list[0];
int integer2 = (int)list[1];
int integer3 = (int)list[2];
object[] tuple = (object[]) list[3];
HashSet<object> set = (HashSet<object>) list[4];
Console.WriteLine("1-3: integers: {0}, {1}, {2}", integer1, integer2, integer3);
Console.WriteLine("4: tuple: ({0}, {1}, {2})", tuple[0], tuple[1], tuple[2]);
Console.WriteLine("5: set: {0}", string.Join(",", set));
Console.WriteLine("\r\nEnter to exit:"); Console.ReadLine();
}
