openethereum/ipc/tests/binary.rs.in

// Copyright 2015-2017 Parity Technologies (UK) Ltd.
// This file is part of Parity.

// Parity is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.

// Parity 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 GNU General Public License
// along with Parity.  If not, see <http://www.gnu.org/licenses/>.


use util::Bytes;

#[binary]
pub enum Root {
	Top,
	Middle(u32, u64),
}

#[derive(PartialEq, Debug)]
#[binary]
pub struct DoubleRoot {
	pub x1: u32,
	pub x2: u64,
	pub x3: u32,
}

#[derive(PartialEq, Debug)]
#[binary]
pub struct ReferenceStruct<'a> {
	pub ref_data: &'a u64,
}

#[derive(PartialEq, Debug)]
#[binary]
pub enum EnumWithStruct {
	Left,
	Right { how_much: u64 },
}

#[binary]
pub struct TwoVec {
	v1: Vec<u8>,
	v2: Vec<u8>,
}

#[binary]
struct ChunkSet {
    items: Vec<Bytes>,
}

#[test]
fn opt_two_vec() {
	let example: Option<TwoVec> = None;

	let serialized = ::ipc::binary::serialize(&example).unwrap();
	assert_eq!(serialized, vec![0u8; 16]);
}

#[test]
fn enum_with_struct() {
	let example = EnumWithStruct::Right { how_much: 15 };
	let serialized = ::ipc::binary::serialize(&example).unwrap();
	let deserialized = ::ipc::binary::deserialize::<EnumWithStruct>(&serialized).unwrap();
	assert_eq!(example, deserialized);
}

#[test]
fn chunks() {
	let sample: Vec<u8> = vec! [
		15, 0, 0, 0, 0, 0, 0, 0, 81, 6, 0, 0, 0, 0, 0, 0,
		110, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0,
		112, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0,
		173, 0, 0, 0, 0, 0, 0, 0, 103, 0, 0, 0, 0, 0, 0, 0,
		112, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0,
		107, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0,
		114, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0,
		114, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0,
		81, 6, 0, 0, 0, 0, 0, 0,

		248, 108, 58, 133, 4, 168, 23, 200, 0, 130, 82, 8, 148, 182, 54,
		177, 224, 198, 163, 123, 250, 122, 157, 158, 75, 138, 30, 7, 83, 91, 141, 56, 46, 136, 2,
		197, 12, 243, 220, 69, 192, 0, 128, 28, 160, 32, 232, 123, 221, 90, 116, 93, 94, 136, 78,
		235, 200, 167, 154, 3, 175, 74, 53, 133, 32, 239, 199, 169, 46, 95, 111, 114, 204, 19, 138,
		15, 167, 160, 103, 72, 60, 241, 165, 248, 130, 213, 45, 166, 249, 102, 83, 87, 98, 153,
		68, 58, 13, 83, 193, 182, 217, 182, 9, 241, 217, 28, 162, 152, 114, 136, 248, 110, 130, 6,
		96, 133, 4, 168, 23, 200, 0, 131, 1, 95, 144, 148, 100, 131, 212, 219, 190, 174, 5, 47,
		105, 201, 11, 11, 210, 108, 207, 242, 164, 74, 218, 19, 135, 6, 10, 36, 24, 30, 64, 0,
		128, 27, 160, 206, 145, 163, 186, 24, 122, 126, 115, 80, 203, 152, 219, 160, 243, 1, 139,
		109, 199, 115, 50, 159, 197, 95, 184, 174, 53, 150, 3, 200, 82, 138, 22, 160, 119, 226,
		202, 208, 136, 165, 174, 240, 216, 222, 27, 214, 12, 213, 250, 68, 214, 144, 120, 53, 158,
		46, 124, 105, 87, 220, 213, 192, 28, 81, 118, 6, 248, 110, 130, 6, 95, 133, 4, 168, 23,
		200, 0, 131, 1, 95, 144, 148, 100, 131, 212, 219, 190, 174, 5, 47, 105, 201, 11, 11, 210,
		108, 207, 242, 164, 74, 218, 19, 135, 6, 10, 36, 24, 30, 64, 0, 128, 27, 160, 19, 172, 66,
		208, 28, 189, 213, 239, 125, 170, 127, 147, 190, 97, 171, 194, 229, 241, 178, 176, 111,
		3, 201, 217, 9, 179, 23, 159, 159, 64, 55, 225, 160, 7, 123, 227, 76, 149, 80, 48, 130,
		122, 23, 165, 175, 24, 89, 228, 128, 25, 106, 160, 195, 82, 204, 206, 150, 83, 70, 127,
		34, 221, 169, 80, 43, 248, 110, 130, 6, 102, 133, 4, 168, 23, 200, 0, 131, 1, 95, 144, 148,
		100, 131, 212, 219, 190, 174, 5, 47, 105, 201, 11, 11, 210, 108, 207, 242, 164, 74, 218,
		19, 135, 6, 10, 36, 24, 30, 64, 0, 128, 27, 160, 29, 6, 237, 5, 67, 42, 51, 65, 172, 133,
		9, 222, 160, 39, 202, 88, 230, 123, 232, 135, 234, 5, 244, 215, 99, 129, 242, 59, 63, 36,
		26, 253, 160, 104, 178, 37, 227, 142, 255, 186, 41, 91, 108, 206, 13, 108, 24, 73, 229,
		96, 224, 142, 230, 93, 214, 27, 60, 119, 149, 119, 56, 62, 5, 204, 179, 248, 171, 129, 136,
		133, 4, 168, 23, 200, 0, 131, 2, 77, 248, 148, 137, 32, 90, 58, 59, 42, 105, 222, 109, 191,
		127, 1, 237, 19, 178, 16, 139, 44, 67, 231, 128, 184, 68, 169, 5, 156, 187, 0, 0, 0, 0, 0, 0, 0,
		0, 0, 0, 0, 0, 105, 4, 134, 47, 167, 212, 79, 177, 44, 91, 97, 85, 184, 182, 222, 59, 231, 242,
		110, 141, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
		0, 0, 2, 28, 160, 98, 5, 133, 180, 19, 27, 159, 186, 76, 27, 159, 143, 186, 97, 124, 253, 123, 40,
		87, 35, 184, 115, 99, 176, 68, 85, 191, 210, 218, 132, 220, 52, 160, 48, 160, 79, 26, 47, 127, 253,
		55, 252, 196, 196, 129, 87, 131, 132, 84, 74, 166, 33, 85, 134, 25, 34, 244, 14, 1, 16, 1, 205, 34,
		30, 3, 248, 101, 3, 133, 13, 43, 184, 47, 225, 131, 1, 95, 144, 148, 202, 110, 19, 32, 65, 111, 158,
		204, 235, 91, 252, 213, 35, 215, 54, 91, 165, 67, 183, 171, 1, 128, 28, 160, 182, 194, 27, 223, 136,
		182, 189, 146, 57, 61, 173, 62, 58, 241, 42, 80, 125, 174, 84, 191, 82, 124, 228, 62, 216, 233, 116,
		117, 227, 207, 138, 56, 160, 31, 210, 242, 212, 31, 156, 129, 155, 166, 64, 102, 140, 134, 35, 176,
		137, 201, 206, 213, 199, 238, 132, 185, 145, 220, 217, 151, 80, 243, 93, 71, 211, 248, 110, 130,
		6, 101, 133, 4, 168, 23, 200, 0, 131, 1, 95, 144, 148, 100, 131, 212, 219, 190, 174, 5, 47, 105,
		201, 11, 11, 210, 108, 207, 242, 164, 74, 218, 19, 135, 6, 10, 36, 24, 30, 64, 0, 128, 27, 160,
		86, 37, 61, 45, 13, 251, 9, 19, 188, 242, 233, 83, 77, 137, 28, 185, 141, 105, 217, 54, 182, 156,
		119, 223, 213, 112, 240, 20, 119, 167, 4, 7, 160, 95, 53, 122, 159, 6, 209, 70, 155, 122, 153, 165,
		192, 249, 223, 219, 83, 159, 40, 242, 39, 44, 132, 182, 208, 232, 77, 64, 178, 241, 233, 230, 253,
		248, 110, 130, 6, 99, 133, 4, 168, 23, 200, 0, 131, 1, 95, 144, 148, 100, 131, 212, 219, 190, 174,
		5, 47, 105, 201, 11, 11, 210, 108, 207, 242, 164, 74, 218, 19, 135, 6, 10, 36, 24, 30, 64, 0, 128,
		27, 160, 114, 33, 104, 64, 195, 12, 156, 235, 56, 59, 210, 102, 183, 210, 216, 137, 223, 207, 134,
		63, 65, 36, 204, 121, 38, 175, 214, 106, 184, 197, 26, 173, 160, 39, 94, 238, 34, 106, 190, 22,
		225, 95, 211, 192, 249, 95, 231, 1, 111, 8, 204, 133, 35, 84, 242, 134, 75, 61, 50, 26, 150, 46,
		209, 129, 155, 248, 105, 106, 133, 5, 103, 130, 1, 225, 131, 2, 130, 119, 148, 191, 78, 215, 178,
		127, 29, 102, 101, 70, 227, 13, 116, 213, 13, 23, 61, 32, 188, 167, 84, 128, 132, 60, 207, 214,
		11, 28, 160, 3, 83, 228, 182, 32, 30, 183, 26, 157, 247, 32, 142, 60, 192, 100, 175, 106, 216,
		144, 16, 100, 165, 95, 91, 135, 138, 14, 41, 82, 251, 207, 159, 160, 74, 160, 161, 187, 63, 216,
		18, 23, 64, 172, 216, 238, 192, 134, 191, 204, 206, 236, 197, 134, 116, 130, 15, 85, 113, 173,
		130, 39, 50, 160, 49, 222, 248, 110, 130, 6, 98, 133, 4, 168, 23, 200, 0, 131, 1, 95, 144, 148,
		100, 131, 212, 219, 190, 174, 5, 47, 105, 201, 11, 11, 210, 108, 207, 242, 164, 74, 218, 19, 135,
		6, 10, 36, 24, 30, 64, 0, 128, 28, 160, 138, 12, 20, 188, 112, 66, 91, 30, 216, 44, 24, 124, 242,
		200, 111, 179, 32, 26, 37, 221, 239, 110, 1, 84, 48, 89, 86, 61, 169, 129, 90, 21, 160, 44, 172,
		112, 11, 130, 45, 247, 188, 207, 91, 247, 195, 58, 188, 110, 127, 59, 227, 41, 151, 244, 41, 120,
		68, 185, 238, 41, 236, 195, 141, 38, 16, 248, 112, 131, 5, 238, 44, 133, 4, 168, 23, 200, 0, 131,
		1, 95, 144, 148, 5, 113, 9, 145, 204, 89, 103, 32, 126, 46, 182, 84, 47, 76, 28, 159, 77, 184,
		154, 59, 136, 1, 100, 240, 147, 154, 69, 101, 18, 128, 27, 160, 130, 0, 124, 82, 177, 112, 241,
		14, 47, 186, 67, 117, 176, 187, 147, 94, 4, 177, 218, 198, 55, 59, 245, 9, 142, 95, 88, 220, 63,
		98, 175, 49, 160, 17, 204, 228, 24, 242, 38, 166, 219, 17, 56, 103, 244, 33, 125, 223, 45, 43,
		252, 215, 163, 40, 1, 187, 152, 34, 229, 82, 180, 213, 148, 129, 32, 248, 110, 130, 6, 100, 133,
		4, 168, 23, 200, 0, 131, 1, 95, 144, 148, 100, 131, 212, 219, 190, 174, 5, 47, 105, 201, 11, 11,
		210, 108, 207, 242, 164, 74, 218, 19, 135, 6, 10, 36, 24, 30, 64, 0, 128, 27, 160, 149, 149, 154,
		6, 198, 127, 14, 11, 164, 0, 244, 4, 74, 83, 9, 108, 164, 66, 186, 26, 109, 69, 98, 41, 149, 33,
		238, 137, 23, 175, 124, 226, 160, 39, 249, 210, 237, 52, 83, 110, 229, 138, 84, 199, 64, 19, 209,
		156, 195, 9, 50, 184, 64, 78, 67, 158, 167, 121, 220, 80, 137, 104, 240, 50, 60, 248, 112, 131, 5,
		238, 45, 133, 4, 168, 23, 200, 0, 131, 1, 95, 144, 148, 247, 0, 201, 156, 113, 12, 158, 3, 208, 61,
		221, 91, 236, 235, 235, 195, 40, 46, 100, 73, 136, 13, 230, 68, 67, 114, 161, 197, 100, 128, 27,
		160, 123, 206, 0, 221, 2, 87, 197, 156, 109, 157, 133, 31, 26, 145, 223, 150, 235, 160, 54, 144,
		210, 146, 31, 173, 221, 128, 233, 148, 73, 82, 191, 220, 160, 57, 62, 114, 94, 77, 8, 116, 150,
		51, 112, 241, 70, 149, 157, 209, 193, 213, 109, 248, 102, 177, 27, 132, 226, 77, 141, 128, 122,
		185, 238, 188, 114, 248, 110, 130, 6, 97, 133, 4, 168, 23, 200, 0, 131, 1, 95, 144, 148, 100,
		131, 212, 219, 190, 174, 5, 47, 105, 201, 11, 11, 210, 108, 207, 242, 164, 74, 218, 19, 135, 6,
		10, 36, 24, 30, 64, 0, 128, 28, 160, 53, 222, 41, 101, 73, 44, 103, 26, 39, 165, 120, 194, 128,
		67, 109, 151, 96, 42, 193, 47, 255, 23, 27, 247, 8, 125, 200, 53, 129, 69, 103, 64, 160, 49, 12,
		64, 143, 74, 149, 161, 245, 68, 83, 89, 101, 212, 254, 81, 16, 170, 176, 33, 87, 6, 112, 34, 153,
		6, 192, 98, 126, 188, 17, 199, 155];

	let chunks = ::ipc::binary::deserialize::<ChunkSet>(&sample).unwrap();
	let total_length = chunks.items.iter().fold(0usize, |total, item| total + item.len());

	assert_eq!(1617, total_length);
}