`Half` type arrays about numpy.net HOT 7 CLOSED

        [TestMethod]
        public async Task F16Workaround()
        {
            // use byte array to create float16 array

            // numbers in float16:
            // 0 01111 0000000000 = 2^0 * (1 + 0/1024) = 1 
            // 1 01111 0000000000 = -1 * 2 ^ 0 * (1 + 0 / 1024) = -1
            // 0 11110 1111111111 = -1^(0) * 2^(15) * (1 + 1023/1024) ≈ 65504
            // see: https://devblogs.microsoft.com/dotnet/introducing-the-half-type/

            // these bytes in binary notation correspond to f16 numbers 1, -1 and 65504 (float16 max value)
            // note, the bytes are in reversed order to the bits shown above
            var bytes = new byte[] { 
                0b00000000, 0b00111100, // 1
                0b00000000, 0b10111100, // -1
                0b11111111, 0b01111011, // 65504
            };
            var floats = np.zeros(new Shape(3), np.float16);
            Console.WriteLine(floats.repr);
            // note, the using prevents a mem-leak with ctypes
            using (var ctypes = floats.PyObject.ctypes) { 
                long ptr = ctypes.data;
                Marshal.Copy(bytes, 0, new IntPtr(ptr), bytes.Length);
            }
            Console.WriteLine(floats.repr);
            Assert.AreEqual("array([ 1.00e+00, -1.00e+00,  6.55e+04], dtype=float16)", floats.repr);
        }