polkadot-ckb-merkle-mountain-range

Crates.iopolkadot-ckb-merkle-mountain-range
lib.rspolkadot-ckb-merkle-mountain-range
version
sourcesrc
created_at2024-05-23 16:21:38.664451
updated_at2024-11-04 14:21:23.400239
descriptionA generalized merkle mountain range implementation (polkadot fork)
homepage
repositoryhttps://github.com/paritytech/merkle-mountain-range
max_upload_size
id1249734
Cargo.toml error:TOML parse error at line 22, column 1 | 22 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include`
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bridges-core (github:paritytech:bridges-core)

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README

Merkle mountain range

Crates.io

A generalized merkle mountain range implementation.

Features

  • Leaves accumulation
  • Multi leaves merkle proof
  • Accumulate from last leaf's merkle proof

Construct

# An 11 leaves MMR

          14
       /       \
     6          13
   /   \       /   \
  2     5     9     12     17
 / \   /  \  / \   /  \   /  \
0   1 3   4 7   8 10  11 15  16 18

In MMR, we use the insertion order to reference leaves and nodes.

We insert a new leaf to MMR by the following:

  1. insert leaf or node to next position.
  2. if the current position has a left sibling, we merge the left and right nodes to produce a new parent node, then go back to step 1 to insert the node.

For example, we insert a leaf to the example MMR:

  1. insert leaf to next position: 19.
  2. now check the left sibling 18 and calculate parent node: merge(mmr[18], mmr[19]).
  3. insert parent node to position 20.
  4. since the node 20 also has a left sibling 17, calculate parent node: merge(mmr[17], mmr[20]).
  5. insert new node to next position 21.
  6. since the node 21 have no left sibling, complete the insertion.

Example MMR after insertion of a new leaf:

          14
       /       \
     6          13            21
   /   \       /   \         /   \
  2     5     9     12     17     20
 / \   /  \  / \   /  \   /  \   /  \
0   1 3   4 7   8 10  11 15  16 18  19

Merkle root

An MMR is constructed by one or more sub merkle trees (or mountains). Each sub merkle tree's root is a peak in MMR, we calculate the MMR root by bagging these peaks from right to left.

For example, in the 11 leaf MMR we have 3 peaks: 14, 17, 18, we bag these peaks from right to left to get the root: merge(mmr[14], merge(mmr[17], mmr[18])).

Merkle proof

The merkle proof is an array of hashes constructed with the following parts:

  1. A merkle proof from the leaf's sibling to the peak that contains the leaf.
  2. A hash that bags all right-hand side peaks, skip this part if no right-hand peaks.
  3. Hashes of all left-hand peaks from right to left, skip this part if no left-hand peaks.

We can reconstruct the merkle root from the proofs. Pre-calculating the peak positions from the size of MMR may help us do the bagging.

References

Commit count: 90

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