1use std::collections::HashSet;
56use std::io;
57
58use hashes::Hash;
59use hash_types::{Txid, TxMerkleNode};
60
61use blockdata::transaction::Transaction;
62use blockdata::constants::{MAX_BLOCK_WEIGHT, MIN_TRANSACTION_WEIGHT};
63use consensus::encode::{self, Decodable, Encodable};
64use util::merkleblock::MerkleBlockError::*;
65use {Block, BlockHeader};
66
67#[derive(Clone, PartialEq, Eq, Debug)]
69pub enum MerkleBlockError {
70 MerkleRootMismatch,
72 NoTransactions,
74 TooManyTransactions,
76 BadFormat(String),
78}
79
80#[derive(PartialEq, Eq, Clone, Debug)]
114pub struct PartialMerkleTree {
115 num_transactions: u32,
117 bits: Vec<bool>,
119 hashes: Vec<TxMerkleNode>,
121}
122
123impl PartialMerkleTree {
124 pub fn from_txids(txids: &[Txid], matches: &[bool]) -> Self {
152 assert_ne!(txids.len(), 0);
154 assert_eq!(txids.len(), matches.len());
155
156 let mut pmt = PartialMerkleTree {
157 num_transactions: txids.len() as u32,
158 bits: Vec::with_capacity(txids.len()),
159 hashes: vec![],
160 };
161 let mut height = 0;
163 while pmt.calc_tree_width(height) > 1 {
164 height += 1;
165 }
166 pmt.traverse_and_build(height, 0, txids, matches);
168 pmt
169 }
170
171 pub fn extract_matches(
175 &self,
176 matches: &mut Vec<Txid>,
177 indexes: &mut Vec<u32>,
178 ) -> Result<TxMerkleNode, MerkleBlockError> {
179 matches.clear();
180 indexes.clear();
181 if self.num_transactions == 0 {
183 return Err(NoTransactions);
184 };
185 if self.num_transactions > MAX_BLOCK_WEIGHT / MIN_TRANSACTION_WEIGHT {
187 return Err(TooManyTransactions);
188 }
189 if self.hashes.len() as u32 > self.num_transactions {
191 return Err(BadFormat(
192 "Proof contains more hashes than transactions".to_owned(),
193 ));
194 };
195 if self.bits.len() < self.hashes.len() {
197 return Err(BadFormat("Proof contains less bits than hashes".to_owned()));
198 };
199 let mut height = 0;
201 while self.calc_tree_width(height) > 1 {
202 height += 1;
203 }
204 let mut bits_used = 0u32;
206 let mut hash_used = 0u32;
207 let hash_merkle_root =
208 self.traverse_and_extract(height, 0, &mut bits_used, &mut hash_used, matches, indexes)?;
209 if (bits_used + 7) / 8 != (self.bits.len() as u32 + 7) / 8 {
212 return Err(BadFormat("Not all bit were consumed".to_owned()));
213 }
214 if hash_used != self.hashes.len() as u32 {
216 return Err(BadFormat("Not all hashes were consumed".to_owned()));
217 }
218 Ok(TxMerkleNode::from_inner(hash_merkle_root.into_inner()))
219 }
220
221 #[inline]
224 fn calc_tree_width(&self, height: u32) -> u32 {
225 (self.num_transactions + (1 << height) - 1) >> height
226 }
227
228 fn calc_hash(&self, height: u32, pos: u32, txids: &[Txid]) -> TxMerkleNode {
230 if height == 0 {
231 TxMerkleNode::from_inner(txids[pos as usize].into_inner())
233 } else {
234 let left = self.calc_hash(height - 1, pos * 2, txids);
236 let right = if pos * 2 + 1 < self.calc_tree_width(height - 1) {
238 self.calc_hash(height - 1, pos * 2 + 1, txids)
239 } else {
240 left
241 };
242 PartialMerkleTree::parent_hash(left, right)
244 }
245 }
246
247 fn traverse_and_build(
249 &mut self,
250 height: u32,
251 pos: u32,
252 txids: &[Txid],
253 matches: &[bool],
254 ) {
255 let mut parent_of_match = false;
257 let mut p = pos << height;
258 while p < (pos + 1) << height && p < self.num_transactions {
259 parent_of_match |= matches[p as usize];
260 p += 1;
261 }
262 self.bits.push(parent_of_match);
264
265 if height == 0 || !parent_of_match {
266 let hash = self.calc_hash(height, pos, txids);
268 self.hashes.push(hash);
269 } else {
270 self.traverse_and_build(height - 1, pos * 2, txids, matches);
272 if pos * 2 + 1 < self.calc_tree_width(height - 1) {
273 self.traverse_and_build(height - 1, pos * 2 + 1, txids, matches);
274 }
275 }
276 }
277
278 fn traverse_and_extract(
281 &self,
282 height: u32,
283 pos: u32,
284 bits_used: &mut u32,
285 hash_used: &mut u32,
286 matches: &mut Vec<Txid>,
287 indexes: &mut Vec<u32>,
288 ) -> Result<TxMerkleNode, MerkleBlockError> {
289 if *bits_used as usize >= self.bits.len() {
290 return Err(BadFormat("Overflowed the bits array".to_owned()));
291 }
292 let parent_of_match = self.bits[*bits_used as usize];
293 *bits_used += 1;
294 if height == 0 || !parent_of_match {
295 if *hash_used as usize >= self.hashes.len() {
297 return Err(BadFormat("Overflowed the hash array".to_owned()));
298 }
299 let hash = self.hashes[*hash_used as usize];
300 *hash_used += 1;
301 if height == 0 && parent_of_match {
302 matches.push(Txid::from_inner(hash.into_inner()));
304 indexes.push(pos);
305 }
306 Ok(hash)
307 } else {
308 let left = self.traverse_and_extract(
310 height - 1,
311 pos * 2,
312 bits_used,
313 hash_used,
314 matches,
315 indexes,
316 )?;
317 let right;
318 if pos * 2 + 1 < self.calc_tree_width(height - 1) {
319 right = self.traverse_and_extract(
320 height - 1,
321 pos * 2 + 1,
322 bits_used,
323 hash_used,
324 matches,
325 indexes,
326 )?;
327 if right == left {
328 return Err(BadFormat("Found identical transaction hashes".to_owned()));
331 }
332 } else {
333 right = left;
334 }
335 Ok(PartialMerkleTree::parent_hash(left, right))
337 }
338 }
339
340 fn parent_hash(left: TxMerkleNode, right: TxMerkleNode) -> TxMerkleNode {
342 let mut encoder = TxMerkleNode::engine();
343 left.consensus_encode(&mut encoder).unwrap();
344 right.consensus_encode(&mut encoder).unwrap();
345 TxMerkleNode::from_engine(encoder)
346 }
347}
348
349impl Encodable for PartialMerkleTree {
350 fn consensus_encode<S: io::Write>(
351 &self,
352 mut s: S,
353 ) -> Result<usize, io::Error> {
354 let ret = self.num_transactions.consensus_encode(&mut s)?
355 + self.hashes.consensus_encode(&mut s)?;
356 let mut bytes: Vec<u8> = vec![0; (self.bits.len() + 7) / 8];
357 for p in 0..self.bits.len() {
358 bytes[p / 8] |= (self.bits[p] as u8) << (p % 8) as u8;
359 }
360 Ok(ret + bytes.consensus_encode(s)?)
361 }
362}
363
364impl Decodable for PartialMerkleTree {
365 fn consensus_decode<D: io::Read>(mut d: D) -> Result<Self, encode::Error> {
366 let num_transactions: u32 = Decodable::consensus_decode(&mut d)?;
367 let hashes: Vec<TxMerkleNode> = Decodable::consensus_decode(&mut d)?;
368
369 let bytes: Vec<u8> = Decodable::consensus_decode(d)?;
370 let mut bits: Vec<bool> = vec![false; bytes.len() * 8];
371
372 for (p, bit) in bits.iter_mut().enumerate() {
373 *bit = (bytes[p / 8] & (1 << (p % 8) as u8)) != 0;
374 }
375 Ok(PartialMerkleTree {
376 num_transactions,
377 hashes,
378 bits,
379 })
380 }
381}
382
383#[derive(PartialEq, Eq, Clone, Debug)]
388pub struct MerkleBlock {
389 pub header: BlockHeader,
391 pub txn: PartialMerkleTree,
393}
394
395impl MerkleBlock {
396 pub fn from_block(block: &Block, match_txids: &HashSet<Txid>) -> Self {
434 let block_txids: Vec<_> = block.txdata.iter().map(Transaction::txid).collect();
435 Self::from_header_txids(&block.header, &block_txids, match_txids)
436 }
437
438 pub fn from_header_txids(
443 header: &BlockHeader,
444 block_txids: &[Txid],
445 match_txids: &HashSet<Txid>,
446 ) -> Self {
447 let matches: Vec<bool> = block_txids
448 .iter()
449 .map(|txid| match_txids.contains(txid))
450 .collect();
451
452 let pmt = PartialMerkleTree::from_txids(&block_txids, &matches);
453 MerkleBlock {
454 header: *header,
455 txn: pmt,
456 }
457 }
458
459 pub fn extract_matches(
463 &self,
464 matches: &mut Vec<Txid>,
465 indexes: &mut Vec<u32>,
466 ) -> Result<(), MerkleBlockError> {
467 let merkle_root = self.txn.extract_matches(matches, indexes)?;
468
469 if merkle_root.eq(&self.header.merkle_root) {
470 Ok(())
471 } else {
472 Err(MerkleRootMismatch)
473 }
474 }
475}
476
477impl Encodable for MerkleBlock {
478 fn consensus_encode<S: io::Write>(
479 &self,
480 mut s: S,
481 ) -> Result<usize, io::Error> {
482 let len = self.header.consensus_encode(&mut s)?
483 + self.txn.consensus_encode(s)?;
484 Ok(len)
485 }
486}
487
488impl Decodable for MerkleBlock {
489 fn consensus_decode<D: io::Read>(mut d: D) -> Result<Self, encode::Error> {
490 Ok(MerkleBlock {
491 header: Decodable::consensus_decode(&mut d)?,
492 txn: Decodable::consensus_decode(d)?,
493 })
494 }
495}
496
497#[cfg(test)]
498mod tests {
499 use std::cmp::min;
500
501 use hashes::Hash;
502 use hashes::hex::{FromHex, ToHex};
503 use hash_types::{Txid, TxMerkleNode};
504 use secp256k1::rand::prelude::*;
505
506 use consensus::encode::{deserialize, serialize};
507 use util::hash::bitcoin_merkle_root;
508 use util::merkleblock::{MerkleBlock, PartialMerkleTree};
509 use Block;
510
511 #[test]
512 fn pmt_tests() {
513 let mut rng = thread_rng();
514 let tx_counts = vec![1, 4, 7, 17, 56, 100, 127, 256, 312, 513, 1000, 4095];
515
516 for num_tx in tx_counts {
517 let txids = (1..num_tx + 1) .map(|i| Txid::from_hex(&format!("{:064x}", i)).unwrap())
520 .collect::<Vec<_>>();
521
522 let hashes = txids.iter().map(|t| t.as_hash());
524 let merkle_root_1: TxMerkleNode = bitcoin_merkle_root(hashes).into();
525 let mut height = 1;
526 let mut ntx = num_tx;
527 while ntx > 1 {
528 ntx = (ntx + 1) / 2;
529 height += 1;
530 }
531
532 for att in 1..15 {
534 let mut matches = vec![false; num_tx];
535 let mut match_txid1 = vec![];
536 for j in 0..num_tx {
537 let rand_bits = match att / 2 {
539 0 => 0,
540 bits => rng.gen::<u64>() >> (64 - bits),
541 };
542 let include = rand_bits == 0;
543 matches[j] = include;
544
545 if include {
546 match_txid1.push(txids[j]);
547 };
548 }
549
550 let pmt1 = PartialMerkleTree::from_txids(&txids, &matches);
552 let serialized = serialize(&pmt1);
553
554 let n = min(num_tx, 1 + match_txid1.len() * height);
556 assert!(serialized.len() <= 10 + (258 * n + 7) / 8);
557
558 let pmt2: PartialMerkleTree =
560 deserialize(&serialized).expect("Could not deserialize own data");
561
562 let mut match_txid2: Vec<Txid> = vec![];
564 let mut indexes = vec![];
565 let merkle_root_2 = pmt2
566 .extract_matches(&mut match_txid2, &mut indexes)
567 .expect("Could not extract matches");
568
569 assert_eq!(merkle_root_1, merkle_root_2);
571 assert_ne!(merkle_root_2, TxMerkleNode::default());
572
573 assert_eq!(match_txid1, match_txid2);
575
576 for _ in 0..4 {
578 let mut pmt3: PartialMerkleTree = deserialize(&serialized).unwrap();
579 pmt3.damage(&mut rng);
580 let mut match_txid3 = vec![];
581 let merkle_root_3 = pmt3
582 .extract_matches(&mut match_txid3, &mut indexes)
583 .unwrap();
584 assert_ne!(merkle_root_3, merkle_root_1);
585 }
586 }
587 }
588 }
589
590 #[test]
591 fn pmt_malleability() {
592 let txids: Vec<Txid> = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 9, 10]
594 .iter()
595 .map(|i| Txid::from_hex(&format!("{:064x}", i)).unwrap())
596 .collect();
597
598 let matches = vec![
599 false, false, false, false, false, false, false, false, false, true, true, false,
600 ];
601
602 let tree = PartialMerkleTree::from_txids(&txids, &matches);
603 let result = tree.extract_matches(&mut vec![], &mut vec![]);
605 assert!(result.is_err());
606 }
607
608 #[test]
609 fn merkleblock_serialization() {
610 let mb_hex =
613 "0100000090f0a9f110702f808219ebea1173056042a714bad51b916cb6800000000000005275289558f51c\
614 9966699404ae2294730c3c9f9bda53523ce50e9b95e558da2fdb261b4d4c86041b1ab1bf930900000005fac\
615 7708a6e81b2a986dea60db2663840ed141130848162eb1bd1dee54f309a1b2ee1e12587e497ada70d9bd10d\
616 31e83f0a924825b96cb8d04e8936d793fb60db7ad8b910d0c7ba2369bc7f18bb53d80e1869ba2c32274996c\
617 ebe1ae264bc0e2289189ff0316cdc10511da71da757e553cada9f3b5b1434f3923673adb57d83caac392c38\
618 af156d6fc30b55fad4112df2b95531e68114e9ad10011e72f7b7cfdb025700";
619
620 let mb: MerkleBlock = deserialize(&Vec::from_hex(mb_hex).unwrap()).unwrap();
621 assert_eq!(get_block_13b8a().block_hash(), mb.header.block_hash());
622 assert_eq!(
623 mb.header.merkle_root,
624 mb.txn.extract_matches(&mut vec![], &mut vec![]).unwrap()
625 );
626 assert_eq!(mb_hex, serialize(&mb).to_hex().as_str());
628 }
629
630 #[test]
633 fn merkleblock_construct_from_txids_found() {
634 let block = get_block_13b8a();
635
636 let txids: Vec<Txid> = [
637 "74d681e0e03bafa802c8aa084379aa98d9fcd632ddc2ed9782b586ec87451f20",
638 "f9fc751cb7dc372406a9f8d738d5e6f8f63bab71986a39cf36ee70ee17036d07",
639 ]
640 .iter()
641 .map(|hex| Txid::from_hex(hex).unwrap())
642 .collect();
643
644 let txid1 = txids[0];
645 let txid2 = txids[1];
646 let txids = txids.into_iter().collect();
647
648 let merkle_block = MerkleBlock::from_block(&block, &txids);
649
650 assert_eq!(merkle_block.header.block_hash(), block.block_hash());
651
652 let mut matches: Vec<Txid> = vec![];
653 let mut index: Vec<u32> = vec![];
654
655 assert_eq!(
656 merkle_block
657 .txn
658 .extract_matches(&mut matches, &mut index)
659 .unwrap(),
660 block.header.merkle_root
661 );
662 assert_eq!(matches.len(), 2);
663
664 assert_eq!(matches[0], txid2);
666 assert_eq!(index[0], 1);
667
668 assert_eq!(matches[1], txid1);
669 assert_eq!(index[1], 8);
670 }
671
672 #[test]
674 fn merkleblock_construct_from_txids_not_found() {
675 let block = get_block_13b8a();
676 let txids = ["c0ffee00003bafa802c8aa084379aa98d9fcd632ddc2ed9782b586ec87451f20"]
677 .iter()
678 .map(|hex| Txid::from_hex(hex).unwrap())
679 .collect();
680
681 let merkle_block = MerkleBlock::from_block(&block, &txids);
682
683 assert_eq!(merkle_block.header.block_hash(), block.block_hash());
684
685 let mut matches: Vec<Txid> = vec![];
686 let mut index: Vec<u32> = vec![];
687
688 assert_eq!(
689 merkle_block
690 .txn
691 .extract_matches(&mut matches, &mut index)
692 .unwrap(),
693 block.header.merkle_root
694 );
695 assert_eq!(matches.len(), 0);
696 assert_eq!(index.len(), 0);
697 }
698
699 impl PartialMerkleTree {
700 fn damage(&mut self, rng: &mut ThreadRng) {
702 let n = rng.gen_range(0, self.hashes.len());
703 let bit = rng.gen::<u8>();
704 let hashes = &mut self.hashes;
705 let mut hash = hashes[n].into_inner();
706 hash[(bit >> 3) as usize] ^= 1 << (bit & 7);
707 hashes[n] = TxMerkleNode::from_slice(&hash).unwrap();
708 }
709 }
710
711 fn get_block_13b8a() -> Block {
714 let block_hex =
715 "0100000090f0a9f110702f808219ebea1173056042a714bad51b916cb6800000000000005275289558f51c\
716 9966699404ae2294730c3c9f9bda53523ce50e9b95e558da2fdb261b4d4c86041b1ab1bf930901000000010\
717 000000000000000000000000000000000000000000000000000000000000000ffffffff07044c86041b0146\
718 ffffffff0100f2052a01000000434104e18f7afbe4721580e81e8414fc8c24d7cfacf254bb5c7b949450c3e\
719 997c2dc1242487a8169507b631eb3771f2b425483fb13102c4eb5d858eef260fe70fbfae0ac000000000100\
720 00000196608ccbafa16abada902780da4dc35dafd7af05fa0da08cf833575f8cf9e836000000004a4930460\
721 22100dab24889213caf43ae6adc41cf1c9396c08240c199f5225acf45416330fd7dbd022100fe37900e0644\
722 bf574493a07fc5edba06dbc07c311b947520c2d514bc5725dcb401ffffffff0100f2052a010000001976a91\
723 4f15d1921f52e4007b146dfa60f369ed2fc393ce288ac000000000100000001fb766c1288458c2bafcfec81\
724 e48b24d98ec706de6b8af7c4e3c29419bfacb56d000000008c493046022100f268ba165ce0ad2e6d93f089c\
725 fcd3785de5c963bb5ea6b8c1b23f1ce3e517b9f022100da7c0f21adc6c401887f2bfd1922f11d76159cbc59\
726 7fbd756a23dcbb00f4d7290141042b4e8625a96127826915a5b109852636ad0da753c9e1d5606a50480cd0c\
727 40f1f8b8d898235e571fe9357d9ec842bc4bba1827daaf4de06d71844d0057707966affffffff0280969800\
728 000000001976a9146963907531db72d0ed1a0cfb471ccb63923446f388ac80d6e34c000000001976a914f06\
729 88ba1c0d1ce182c7af6741e02658c7d4dfcd388ac000000000100000002c40297f730dd7b5a99567eb8d27b\
730 78758f607507c52292d02d4031895b52f2ff010000008b483045022100f7edfd4b0aac404e5bab4fd3889e0\
731 c6c41aa8d0e6fa122316f68eddd0a65013902205b09cc8b2d56e1cd1f7f2fafd60a129ed94504c4ac7bdc67\
732 b56fe67512658b3e014104732012cb962afa90d31b25d8fb0e32c94e513ab7a17805c14ca4c3423e18b4fb5\
733 d0e676841733cb83abaf975845c9f6f2a8097b7d04f4908b18368d6fc2d68ecffffffffca5065ff9617cbcb\
734 a45eb23726df6498a9b9cafed4f54cbab9d227b0035ddefb000000008a473044022068010362a13c7f9919f\
735 a832b2dee4e788f61f6f5d344a7c2a0da6ae740605658022006d1af525b9a14a35c003b78b72bd59738cd67\
736 6f845d1ff3fc25049e01003614014104732012cb962afa90d31b25d8fb0e32c94e513ab7a17805c14ca4c34\
737 23e18b4fb5d0e676841733cb83abaf975845c9f6f2a8097b7d04f4908b18368d6fc2d68ecffffffff01001e\
738 c4110200000043410469ab4181eceb28985b9b4e895c13fa5e68d85761b7eee311db5addef76fa862186513\
739 4a221bd01f28ec9999ee3e021e60766e9d1f3458c115fb28650605f11c9ac000000000100000001cdaf2f75\
740 8e91c514655e2dc50633d1e4c84989f8aa90a0dbc883f0d23ed5c2fa010000008b48304502207ab51be6f12\
741 a1962ba0aaaf24a20e0b69b27a94fac5adf45aa7d2d18ffd9236102210086ae728b370e5329eead9accd880\
742 d0cb070aea0c96255fae6c4f1ddcce1fd56e014104462e76fd4067b3a0aa42070082dcb0bf2f388b6495cf3\
743 3d789904f07d0f55c40fbd4b82963c69b3dc31895d0c772c812b1d5fbcade15312ef1c0e8ebbb12dcd4ffff\
744 ffff02404b4c00000000001976a9142b6ba7c9d796b75eef7942fc9288edd37c32f5c388ac002d310100000\
745 0001976a9141befba0cdc1ad56529371864d9f6cb042faa06b588ac000000000100000001b4a47603e71b61\
746 bc3326efd90111bf02d2f549b067f4c4a8fa183b57a0f800cb010000008a4730440220177c37f9a505c3f1a\
747 1f0ce2da777c339bd8339ffa02c7cb41f0a5804f473c9230220585b25a2ee80eb59292e52b987dad92acb0c\
748 64eced92ed9ee105ad153cdb12d001410443bd44f683467e549dae7d20d1d79cbdb6df985c6e9c029c8d0c6\
749 cb46cc1a4d3cf7923c5021b27f7a0b562ada113bc85d5fda5a1b41e87fe6e8802817cf69996ffffffff0280\
750 651406000000001976a9145505614859643ab7b547cd7f1f5e7e2a12322d3788ac00aa0271000000001976a\
751 914ea4720a7a52fc166c55ff2298e07baf70ae67e1b88ac00000000010000000586c62cd602d219bb60edb1\
752 4a3e204de0705176f9022fe49a538054fb14abb49e010000008c493046022100f2bc2aba2534becbdf062eb\
753 993853a42bbbc282083d0daf9b4b585bd401aa8c9022100b1d7fd7ee0b95600db8535bbf331b19eed8d961f\
754 7a8e54159c53675d5f69df8c014104462e76fd4067b3a0aa42070082dcb0bf2f388b6495cf33d789904f07d\
755 0f55c40fbd4b82963c69b3dc31895d0c772c812b1d5fbcade15312ef1c0e8ebbb12dcd4ffffffff03ad0e58\
756 ccdac3df9dc28a218bcf6f1997b0a93306faaa4b3a28ae83447b2179010000008b483045022100be12b2937\
757 179da88599e27bb31c3525097a07cdb52422d165b3ca2f2020ffcf702200971b51f853a53d644ebae9ec8f3\
758 512e442b1bcb6c315a5b491d119d10624c83014104462e76fd4067b3a0aa42070082dcb0bf2f388b6495cf3\
759 3d789904f07d0f55c40fbd4b82963c69b3dc31895d0c772c812b1d5fbcade15312ef1c0e8ebbb12dcd4ffff\
760 ffff2acfcab629bbc8685792603762c921580030ba144af553d271716a95089e107b010000008b483045022\
761 100fa579a840ac258871365dd48cd7552f96c8eea69bd00d84f05b283a0dab311e102207e3c0ee9234814cf\
762 bb1b659b83671618f45abc1326b9edcc77d552a4f2a805c0014104462e76fd4067b3a0aa42070082dcb0bf2\
763 f388b6495cf33d789904f07d0f55c40fbd4b82963c69b3dc31895d0c772c812b1d5fbcade15312ef1c0e8eb\
764 bb12dcd4ffffffffdcdc6023bbc9944a658ddc588e61eacb737ddf0a3cd24f113b5a8634c517fcd20000000\
765 08b4830450221008d6df731df5d32267954bd7d2dda2302b74c6c2a6aa5c0ca64ecbabc1af03c75022010e5\
766 5c571d65da7701ae2da1956c442df81bbf076cdbac25133f99d98a9ed34c014104462e76fd4067b3a0aa420\
767 70082dcb0bf2f388b6495cf33d789904f07d0f55c40fbd4b82963c69b3dc31895d0c772c812b1d5fbcade15\
768 312ef1c0e8ebbb12dcd4ffffffffe15557cd5ce258f479dfd6dc6514edf6d7ed5b21fcfa4a038fd69f06b83\
769 ac76e010000008b483045022023b3e0ab071eb11de2eb1cc3a67261b866f86bf6867d4558165f7c8c8aca2d\
770 86022100dc6e1f53a91de3efe8f63512850811f26284b62f850c70ca73ed5de8771fb451014104462e76fd4\
771 067b3a0aa42070082dcb0bf2f388b6495cf33d789904f07d0f55c40fbd4b82963c69b3dc31895d0c772c812\
772 b1d5fbcade15312ef1c0e8ebbb12dcd4ffffffff01404b4c00000000001976a9142b6ba7c9d796b75eef794\
773 2fc9288edd37c32f5c388ac00000000010000000166d7577163c932b4f9690ca6a80b6e4eb001f0a2fa9023\
774 df5595602aae96ed8d000000008a4730440220262b42546302dfb654a229cefc86432b89628ff259dc87edd\
775 1154535b16a67e102207b4634c020a97c3e7bbd0d4d19da6aa2269ad9dded4026e896b213d73ca4b63f0141\
776 04979b82d02226b3a4597523845754d44f13639e3bf2df5e82c6aab2bdc79687368b01b1ab8b19875ae3c90\
777 d661a3d0a33161dab29934edeb36aa01976be3baf8affffffff02404b4c00000000001976a9144854e695a0\
778 2af0aeacb823ccbc272134561e0a1688ac40420f00000000001976a914abee93376d6b37b5c2940655a6fca\
779 f1c8e74237988ac0000000001000000014e3f8ef2e91349a9059cb4f01e54ab2597c1387161d3da89919f7e\
780 a6acdbb371010000008c49304602210081f3183471a5ca22307c0800226f3ef9c353069e0773ac76bb58065\
781 4d56aa523022100d4c56465bdc069060846f4fbf2f6b20520b2a80b08b168b31e66ddb9c694e24001410497\
782 6c79848e18251612f8940875b2b08d06e6dc73b9840e8860c066b7e87432c477e9a59a453e71e6d76d5fe34\
783 058b800a098fc1740ce3012e8fc8a00c96af966ffffffff02c0e1e400000000001976a9144134e75a6fcb60\
784 42034aab5e18570cf1f844f54788ac404b4c00000000001976a9142b6ba7c9d796b75eef7942fc9288edd37\
785 c32f5c388ac00000000";
786 deserialize(&Vec::from_hex(block_hex).unwrap()).unwrap()
787 }
788}