use std::collections::HashSet;
use std::io;
use hashes::Hash;
use hash_types::{Txid, TxMerkleNode};
use blockdata::transaction::Transaction;
use blockdata::constants::{MAX_BLOCK_WEIGHT, MIN_TRANSACTION_WEIGHT};
use consensus::encode::{self, Decodable, Encodable};
use util::merkleblock::MerkleBlockError::*;
use {Block, BlockHeader};
#[derive(Clone, PartialEq, Eq, Debug)]
pub enum MerkleBlockError {
MerkleRootMismatch,
NoTransactions,
TooManyTransactions,
BadFormat(String),
}
#[derive(PartialEq, Eq, Clone, Debug)]
pub struct PartialMerkleTree {
num_transactions: u32,
bits: Vec<bool>,
hashes: Vec<TxMerkleNode>,
}
impl PartialMerkleTree {
pub fn from_txids(txids: &[Txid], matches: &[bool]) -> Self {
assert_ne!(txids.len(), 0);
assert_eq!(txids.len(), matches.len());
let mut pmt = PartialMerkleTree {
num_transactions: txids.len() as u32,
bits: Vec::with_capacity(txids.len()),
hashes: vec![],
};
let mut height = 0;
while pmt.calc_tree_width(height) > 1 {
height += 1;
}
pmt.traverse_and_build(height, 0, txids, matches);
pmt
}
pub fn extract_matches(
&self,
matches: &mut Vec<Txid>,
indexes: &mut Vec<u32>,
) -> Result<TxMerkleNode, MerkleBlockError> {
matches.clear();
indexes.clear();
if self.num_transactions == 0 {
return Err(NoTransactions);
};
if self.num_transactions > MAX_BLOCK_WEIGHT / MIN_TRANSACTION_WEIGHT {
return Err(TooManyTransactions);
}
if self.hashes.len() as u32 > self.num_transactions {
return Err(BadFormat(
"Proof contains more hashes than transactions".to_owned(),
));
};
if self.bits.len() < self.hashes.len() {
return Err(BadFormat("Proof contains less bits than hashes".to_owned()));
};
let mut height = 0;
while self.calc_tree_width(height) > 1 {
height += 1;
}
let mut bits_used = 0u32;
let mut hash_used = 0u32;
let hash_merkle_root =
self.traverse_and_extract(height, 0, &mut bits_used, &mut hash_used, matches, indexes)?;
if (bits_used + 7) / 8 != (self.bits.len() as u32 + 7) / 8 {
return Err(BadFormat("Not all bit were consumed".to_owned()));
}
if hash_used != self.hashes.len() as u32 {
return Err(BadFormat("Not all hashes were consumed".to_owned()));
}
Ok(TxMerkleNode::from_inner(hash_merkle_root.into_inner()))
}
#[inline]
fn calc_tree_width(&self, height: u32) -> u32 {
(self.num_transactions + (1 << height) - 1) >> height
}
fn calc_hash(&self, height: u32, pos: u32, txids: &[Txid]) -> TxMerkleNode {
if height == 0 {
TxMerkleNode::from_inner(txids[pos as usize].into_inner())
} else {
let left = self.calc_hash(height - 1, pos * 2, txids);
let right = if pos * 2 + 1 < self.calc_tree_width(height - 1) {
self.calc_hash(height - 1, pos * 2 + 1, txids)
} else {
left
};
PartialMerkleTree::parent_hash(left, right)
}
}
fn traverse_and_build(
&mut self,
height: u32,
pos: u32,
txids: &[Txid],
matches: &[bool],
) {
let mut parent_of_match = false;
let mut p = pos << height;
while p < (pos + 1) << height && p < self.num_transactions {
parent_of_match |= matches[p as usize];
p += 1;
}
self.bits.push(parent_of_match);
if height == 0 || !parent_of_match {
let hash = self.calc_hash(height, pos, txids);
self.hashes.push(hash);
} else {
self.traverse_and_build(height - 1, pos * 2, txids, matches);
if pos * 2 + 1 < self.calc_tree_width(height - 1) {
self.traverse_and_build(height - 1, pos * 2 + 1, txids, matches);
}
}
}
fn traverse_and_extract(
&self,
height: u32,
pos: u32,
bits_used: &mut u32,
hash_used: &mut u32,
matches: &mut Vec<Txid>,
indexes: &mut Vec<u32>,
) -> Result<TxMerkleNode, MerkleBlockError> {
if *bits_used as usize >= self.bits.len() {
return Err(BadFormat("Overflowed the bits array".to_owned()));
}
let parent_of_match = self.bits[*bits_used as usize];
*bits_used += 1;
if height == 0 || !parent_of_match {
if *hash_used as usize >= self.hashes.len() {
return Err(BadFormat("Overflowed the hash array".to_owned()));
}
let hash = self.hashes[*hash_used as usize];
*hash_used += 1;
if height == 0 && parent_of_match {
matches.push(Txid::from_inner(hash.into_inner()));
indexes.push(pos);
}
Ok(hash)
} else {
let left = self.traverse_and_extract(
height - 1,
pos * 2,
bits_used,
hash_used,
matches,
indexes,
)?;
let right;
if pos * 2 + 1 < self.calc_tree_width(height - 1) {
right = self.traverse_and_extract(
height - 1,
pos * 2 + 1,
bits_used,
hash_used,
matches,
indexes,
)?;
if right == left {
return Err(BadFormat("Found identical transaction hashes".to_owned()));
}
} else {
right = left;
}
Ok(PartialMerkleTree::parent_hash(left, right))
}
}
fn parent_hash(left: TxMerkleNode, right: TxMerkleNode) -> TxMerkleNode {
let mut encoder = TxMerkleNode::engine();
left.consensus_encode(&mut encoder).unwrap();
right.consensus_encode(&mut encoder).unwrap();
TxMerkleNode::from_engine(encoder)
}
}
impl Encodable for PartialMerkleTree {
fn consensus_encode<S: io::Write>(
&self,
mut s: S,
) -> Result<usize, io::Error> {
let ret = self.num_transactions.consensus_encode(&mut s)?
+ self.hashes.consensus_encode(&mut s)?;
let mut bytes: Vec<u8> = vec![0; (self.bits.len() + 7) / 8];
for p in 0..self.bits.len() {
bytes[p / 8] |= (self.bits[p] as u8) << (p % 8) as u8;
}
Ok(ret + bytes.consensus_encode(s)?)
}
}
impl Decodable for PartialMerkleTree {
fn consensus_decode<D: io::Read>(mut d: D) -> Result<Self, encode::Error> {
let num_transactions: u32 = Decodable::consensus_decode(&mut d)?;
let hashes: Vec<TxMerkleNode> = Decodable::consensus_decode(&mut d)?;
let bytes: Vec<u8> = Decodable::consensus_decode(d)?;
let mut bits: Vec<bool> = vec![false; bytes.len() * 8];
for (p, bit) in bits.iter_mut().enumerate() {
*bit = (bytes[p / 8] & (1 << (p % 8) as u8)) != 0;
}
Ok(PartialMerkleTree {
num_transactions,
hashes,
bits,
})
}
}
#[derive(PartialEq, Eq, Clone, Debug)]
pub struct MerkleBlock {
pub header: BlockHeader,
pub txn: PartialMerkleTree,
}
impl MerkleBlock {
pub fn from_block(block: &Block, match_txids: &HashSet<Txid>) -> Self {
let block_txids: Vec<_> = block.txdata.iter().map(Transaction::txid).collect();
Self::from_header_txids(&block.header, &block_txids, match_txids)
}
pub fn from_header_txids(
header: &BlockHeader,
block_txids: &[Txid],
match_txids: &HashSet<Txid>,
) -> Self {
let matches: Vec<bool> = block_txids
.iter()
.map(|txid| match_txids.contains(txid))
.collect();
let pmt = PartialMerkleTree::from_txids(&block_txids, &matches);
MerkleBlock {
header: *header,
txn: pmt,
}
}
pub fn extract_matches(
&self,
matches: &mut Vec<Txid>,
indexes: &mut Vec<u32>,
) -> Result<(), MerkleBlockError> {
let merkle_root = self.txn.extract_matches(matches, indexes)?;
if merkle_root.eq(&self.header.merkle_root) {
Ok(())
} else {
Err(MerkleRootMismatch)
}
}
}
impl Encodable for MerkleBlock {
fn consensus_encode<S: io::Write>(
&self,
mut s: S,
) -> Result<usize, io::Error> {
let len = self.header.consensus_encode(&mut s)?
+ self.txn.consensus_encode(s)?;
Ok(len)
}
}
impl Decodable for MerkleBlock {
fn consensus_decode<D: io::Read>(mut d: D) -> Result<Self, encode::Error> {
Ok(MerkleBlock {
header: Decodable::consensus_decode(&mut d)?,
txn: Decodable::consensus_decode(d)?,
})
}
}
#[cfg(test)]
mod tests {
use std::cmp::min;
use hashes::Hash;
use hashes::hex::{FromHex, ToHex};
use hash_types::{Txid, TxMerkleNode};
use secp256k1::rand::prelude::*;
use consensus::encode::{deserialize, serialize};
use util::hash::bitcoin_merkle_root;
use util::merkleblock::{MerkleBlock, PartialMerkleTree};
use Block;
#[test]
fn pmt_tests() {
let mut rng = thread_rng();
let tx_counts = vec![1, 4, 7, 17, 56, 100, 127, 256, 312, 513, 1000, 4095];
for num_tx in tx_counts {
let txids = (1..num_tx + 1)
.map(|i| Txid::from_hex(&format!("{:064x}", i)).unwrap())
.collect::<Vec<_>>();
let hashes = txids.iter().map(|t| t.as_hash());
let merkle_root_1: TxMerkleNode = bitcoin_merkle_root(hashes).into();
let mut height = 1;
let mut ntx = num_tx;
while ntx > 1 {
ntx = (ntx + 1) / 2;
height += 1;
}
for att in 1..15 {
let mut matches = vec![false; num_tx];
let mut match_txid1 = vec![];
for j in 0..num_tx {
let rand_bits = match att / 2 {
0 => 0,
bits => rng.gen::<u64>() >> (64 - bits),
};
let include = rand_bits == 0;
matches[j] = include;
if include {
match_txid1.push(txids[j]);
};
}
let pmt1 = PartialMerkleTree::from_txids(&txids, &matches);
let serialized = serialize(&pmt1);
let n = min(num_tx, 1 + match_txid1.len() * height);
assert!(serialized.len() <= 10 + (258 * n + 7) / 8);
let pmt2: PartialMerkleTree =
deserialize(&serialized).expect("Could not deserialize own data");
let mut match_txid2: Vec<Txid> = vec![];
let mut indexes = vec![];
let merkle_root_2 = pmt2
.extract_matches(&mut match_txid2, &mut indexes)
.expect("Could not extract matches");
assert_eq!(merkle_root_1, merkle_root_2);
assert_ne!(merkle_root_2, TxMerkleNode::default());
assert_eq!(match_txid1, match_txid2);
for _ in 0..4 {
let mut pmt3: PartialMerkleTree = deserialize(&serialized).unwrap();
pmt3.damage(&mut rng);
let mut match_txid3 = vec![];
let merkle_root_3 = pmt3
.extract_matches(&mut match_txid3, &mut indexes)
.unwrap();
assert_ne!(merkle_root_3, merkle_root_1);
}
}
}
}
#[test]
fn pmt_malleability() {
let txids: Vec<Txid> = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 9, 10]
.iter()
.map(|i| Txid::from_hex(&format!("{:064x}", i)).unwrap())
.collect();
let matches = vec![
false, false, false, false, false, false, false, false, false, true, true, false,
];
let tree = PartialMerkleTree::from_txids(&txids, &matches);
let result = tree.extract_matches(&mut vec![], &mut vec![]);
assert!(result.is_err());
}
#[test]
fn merkleblock_serialization() {
let mb_hex =
"0100000090f0a9f110702f808219ebea1173056042a714bad51b916cb6800000000000005275289558f51c\
9966699404ae2294730c3c9f9bda53523ce50e9b95e558da2fdb261b4d4c86041b1ab1bf930900000005fac\
7708a6e81b2a986dea60db2663840ed141130848162eb1bd1dee54f309a1b2ee1e12587e497ada70d9bd10d\
31e83f0a924825b96cb8d04e8936d793fb60db7ad8b910d0c7ba2369bc7f18bb53d80e1869ba2c32274996c\
ebe1ae264bc0e2289189ff0316cdc10511da71da757e553cada9f3b5b1434f3923673adb57d83caac392c38\
af156d6fc30b55fad4112df2b95531e68114e9ad10011e72f7b7cfdb025700";
let mb: MerkleBlock = deserialize(&Vec::from_hex(mb_hex).unwrap()).unwrap();
assert_eq!(get_block_13b8a().block_hash(), mb.header.block_hash());
assert_eq!(
mb.header.merkle_root,
mb.txn.extract_matches(&mut vec![], &mut vec![]).unwrap()
);
assert_eq!(mb_hex, serialize(&mb).to_hex().as_str());
}
#[test]
fn merkleblock_construct_from_txids_found() {
let block = get_block_13b8a();
let txids: Vec<Txid> = [
"74d681e0e03bafa802c8aa084379aa98d9fcd632ddc2ed9782b586ec87451f20",
"f9fc751cb7dc372406a9f8d738d5e6f8f63bab71986a39cf36ee70ee17036d07",
]
.iter()
.map(|hex| Txid::from_hex(hex).unwrap())
.collect();
let txid1 = txids[0];
let txid2 = txids[1];
let txids = txids.into_iter().collect();
let merkle_block = MerkleBlock::from_block(&block, &txids);
assert_eq!(merkle_block.header.block_hash(), block.block_hash());
let mut matches: Vec<Txid> = vec![];
let mut index: Vec<u32> = vec![];
assert_eq!(
merkle_block
.txn
.extract_matches(&mut matches, &mut index)
.unwrap(),
block.header.merkle_root
);
assert_eq!(matches.len(), 2);
assert_eq!(matches[0], txid2);
assert_eq!(index[0], 1);
assert_eq!(matches[1], txid1);
assert_eq!(index[1], 8);
}
#[test]
fn merkleblock_construct_from_txids_not_found() {
let block = get_block_13b8a();
let txids = ["c0ffee00003bafa802c8aa084379aa98d9fcd632ddc2ed9782b586ec87451f20"]
.iter()
.map(|hex| Txid::from_hex(hex).unwrap())
.collect();
let merkle_block = MerkleBlock::from_block(&block, &txids);
assert_eq!(merkle_block.header.block_hash(), block.block_hash());
let mut matches: Vec<Txid> = vec![];
let mut index: Vec<u32> = vec![];
assert_eq!(
merkle_block
.txn
.extract_matches(&mut matches, &mut index)
.unwrap(),
block.header.merkle_root
);
assert_eq!(matches.len(), 0);
assert_eq!(index.len(), 0);
}
impl PartialMerkleTree {
fn damage(&mut self, rng: &mut ThreadRng) {
let n = rng.gen_range(0, self.hashes.len());
let bit = rng.gen::<u8>();
let hashes = &mut self.hashes;
let mut hash = hashes[n].into_inner();
hash[(bit >> 3) as usize] ^= 1 << (bit & 7);
hashes[n] = TxMerkleNode::from_slice(&hash).unwrap();
}
}
fn get_block_13b8a() -> Block {
let block_hex =
"0100000090f0a9f110702f808219ebea1173056042a714bad51b916cb6800000000000005275289558f51c\
9966699404ae2294730c3c9f9bda53523ce50e9b95e558da2fdb261b4d4c86041b1ab1bf930901000000010\
000000000000000000000000000000000000000000000000000000000000000ffffffff07044c86041b0146\
ffffffff0100f2052a01000000434104e18f7afbe4721580e81e8414fc8c24d7cfacf254bb5c7b949450c3e\
997c2dc1242487a8169507b631eb3771f2b425483fb13102c4eb5d858eef260fe70fbfae0ac000000000100\
00000196608ccbafa16abada902780da4dc35dafd7af05fa0da08cf833575f8cf9e836000000004a4930460\
22100dab24889213caf43ae6adc41cf1c9396c08240c199f5225acf45416330fd7dbd022100fe37900e0644\
bf574493a07fc5edba06dbc07c311b947520c2d514bc5725dcb401ffffffff0100f2052a010000001976a91\
4f15d1921f52e4007b146dfa60f369ed2fc393ce288ac000000000100000001fb766c1288458c2bafcfec81\
e48b24d98ec706de6b8af7c4e3c29419bfacb56d000000008c493046022100f268ba165ce0ad2e6d93f089c\
fcd3785de5c963bb5ea6b8c1b23f1ce3e517b9f022100da7c0f21adc6c401887f2bfd1922f11d76159cbc59\
7fbd756a23dcbb00f4d7290141042b4e8625a96127826915a5b109852636ad0da753c9e1d5606a50480cd0c\
40f1f8b8d898235e571fe9357d9ec842bc4bba1827daaf4de06d71844d0057707966affffffff0280969800\
000000001976a9146963907531db72d0ed1a0cfb471ccb63923446f388ac80d6e34c000000001976a914f06\
88ba1c0d1ce182c7af6741e02658c7d4dfcd388ac000000000100000002c40297f730dd7b5a99567eb8d27b\
78758f607507c52292d02d4031895b52f2ff010000008b483045022100f7edfd4b0aac404e5bab4fd3889e0\
c6c41aa8d0e6fa122316f68eddd0a65013902205b09cc8b2d56e1cd1f7f2fafd60a129ed94504c4ac7bdc67\
b56fe67512658b3e014104732012cb962afa90d31b25d8fb0e32c94e513ab7a17805c14ca4c3423e18b4fb5\
d0e676841733cb83abaf975845c9f6f2a8097b7d04f4908b18368d6fc2d68ecffffffffca5065ff9617cbcb\
a45eb23726df6498a9b9cafed4f54cbab9d227b0035ddefb000000008a473044022068010362a13c7f9919f\
a832b2dee4e788f61f6f5d344a7c2a0da6ae740605658022006d1af525b9a14a35c003b78b72bd59738cd67\
6f845d1ff3fc25049e01003614014104732012cb962afa90d31b25d8fb0e32c94e513ab7a17805c14ca4c34\
23e18b4fb5d0e676841733cb83abaf975845c9f6f2a8097b7d04f4908b18368d6fc2d68ecffffffff01001e\
c4110200000043410469ab4181eceb28985b9b4e895c13fa5e68d85761b7eee311db5addef76fa862186513\
4a221bd01f28ec9999ee3e021e60766e9d1f3458c115fb28650605f11c9ac000000000100000001cdaf2f75\
8e91c514655e2dc50633d1e4c84989f8aa90a0dbc883f0d23ed5c2fa010000008b48304502207ab51be6f12\
a1962ba0aaaf24a20e0b69b27a94fac5adf45aa7d2d18ffd9236102210086ae728b370e5329eead9accd880\
d0cb070aea0c96255fae6c4f1ddcce1fd56e014104462e76fd4067b3a0aa42070082dcb0bf2f388b6495cf3\
3d789904f07d0f55c40fbd4b82963c69b3dc31895d0c772c812b1d5fbcade15312ef1c0e8ebbb12dcd4ffff\
ffff02404b4c00000000001976a9142b6ba7c9d796b75eef7942fc9288edd37c32f5c388ac002d310100000\
0001976a9141befba0cdc1ad56529371864d9f6cb042faa06b588ac000000000100000001b4a47603e71b61\
bc3326efd90111bf02d2f549b067f4c4a8fa183b57a0f800cb010000008a4730440220177c37f9a505c3f1a\
1f0ce2da777c339bd8339ffa02c7cb41f0a5804f473c9230220585b25a2ee80eb59292e52b987dad92acb0c\
64eced92ed9ee105ad153cdb12d001410443bd44f683467e549dae7d20d1d79cbdb6df985c6e9c029c8d0c6\
cb46cc1a4d3cf7923c5021b27f7a0b562ada113bc85d5fda5a1b41e87fe6e8802817cf69996ffffffff0280\
651406000000001976a9145505614859643ab7b547cd7f1f5e7e2a12322d3788ac00aa0271000000001976a\
914ea4720a7a52fc166c55ff2298e07baf70ae67e1b88ac00000000010000000586c62cd602d219bb60edb1\
4a3e204de0705176f9022fe49a538054fb14abb49e010000008c493046022100f2bc2aba2534becbdf062eb\
993853a42bbbc282083d0daf9b4b585bd401aa8c9022100b1d7fd7ee0b95600db8535bbf331b19eed8d961f\
7a8e54159c53675d5f69df8c014104462e76fd4067b3a0aa42070082dcb0bf2f388b6495cf33d789904f07d\
0f55c40fbd4b82963c69b3dc31895d0c772c812b1d5fbcade15312ef1c0e8ebbb12dcd4ffffffff03ad0e58\
ccdac3df9dc28a218bcf6f1997b0a93306faaa4b3a28ae83447b2179010000008b483045022100be12b2937\
179da88599e27bb31c3525097a07cdb52422d165b3ca2f2020ffcf702200971b51f853a53d644ebae9ec8f3\
512e442b1bcb6c315a5b491d119d10624c83014104462e76fd4067b3a0aa42070082dcb0bf2f388b6495cf3\
3d789904f07d0f55c40fbd4b82963c69b3dc31895d0c772c812b1d5fbcade15312ef1c0e8ebbb12dcd4ffff\
ffff2acfcab629bbc8685792603762c921580030ba144af553d271716a95089e107b010000008b483045022\
100fa579a840ac258871365dd48cd7552f96c8eea69bd00d84f05b283a0dab311e102207e3c0ee9234814cf\
bb1b659b83671618f45abc1326b9edcc77d552a4f2a805c0014104462e76fd4067b3a0aa42070082dcb0bf2\
f388b6495cf33d789904f07d0f55c40fbd4b82963c69b3dc31895d0c772c812b1d5fbcade15312ef1c0e8eb\
bb12dcd4ffffffffdcdc6023bbc9944a658ddc588e61eacb737ddf0a3cd24f113b5a8634c517fcd20000000\
08b4830450221008d6df731df5d32267954bd7d2dda2302b74c6c2a6aa5c0ca64ecbabc1af03c75022010e5\
5c571d65da7701ae2da1956c442df81bbf076cdbac25133f99d98a9ed34c014104462e76fd4067b3a0aa420\
70082dcb0bf2f388b6495cf33d789904f07d0f55c40fbd4b82963c69b3dc31895d0c772c812b1d5fbcade15\
312ef1c0e8ebbb12dcd4ffffffffe15557cd5ce258f479dfd6dc6514edf6d7ed5b21fcfa4a038fd69f06b83\
ac76e010000008b483045022023b3e0ab071eb11de2eb1cc3a67261b866f86bf6867d4558165f7c8c8aca2d\
86022100dc6e1f53a91de3efe8f63512850811f26284b62f850c70ca73ed5de8771fb451014104462e76fd4\
067b3a0aa42070082dcb0bf2f388b6495cf33d789904f07d0f55c40fbd4b82963c69b3dc31895d0c772c812\
b1d5fbcade15312ef1c0e8ebbb12dcd4ffffffff01404b4c00000000001976a9142b6ba7c9d796b75eef794\
2fc9288edd37c32f5c388ac00000000010000000166d7577163c932b4f9690ca6a80b6e4eb001f0a2fa9023\
df5595602aae96ed8d000000008a4730440220262b42546302dfb654a229cefc86432b89628ff259dc87edd\
1154535b16a67e102207b4634c020a97c3e7bbd0d4d19da6aa2269ad9dded4026e896b213d73ca4b63f0141\
04979b82d02226b3a4597523845754d44f13639e3bf2df5e82c6aab2bdc79687368b01b1ab8b19875ae3c90\
d661a3d0a33161dab29934edeb36aa01976be3baf8affffffff02404b4c00000000001976a9144854e695a0\
2af0aeacb823ccbc272134561e0a1688ac40420f00000000001976a914abee93376d6b37b5c2940655a6fca\
f1c8e74237988ac0000000001000000014e3f8ef2e91349a9059cb4f01e54ab2597c1387161d3da89919f7e\
a6acdbb371010000008c49304602210081f3183471a5ca22307c0800226f3ef9c353069e0773ac76bb58065\
4d56aa523022100d4c56465bdc069060846f4fbf2f6b20520b2a80b08b168b31e66ddb9c694e24001410497\
6c79848e18251612f8940875b2b08d06e6dc73b9840e8860c066b7e87432c477e9a59a453e71e6d76d5fe34\
058b800a098fc1740ce3012e8fc8a00c96af966ffffffff02c0e1e400000000001976a9144134e75a6fcb60\
42034aab5e18570cf1f844f54788ac404b4c00000000001976a9142b6ba7c9d796b75eef7942fc9288edd37\
c32f5c388ac00000000";
deserialize(&Vec::from_hex(block_hex).unwrap()).unwrap()
}
}