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* atomic swap * bounties * bounties fmt * gilt * indices * nicks * randomness-collective-flip * recovery * reuse maxapprovals * Update tests.rs * Update frame/randomness-collective-flip/src/lib.rs Co-authored-by: Oliver Tale-Yazdi <oliver.tale-yazdi@parity.io> * use the correct bound * complete recovery * use `bounded_vec` macro * Update tests.rs * transaction payment * uniques * mmr * example offchain worker * beefy-mmr * Update frame/recovery/src/lib.rs Co-authored-by: Oliver Tale-Yazdi <oliver.tale-yazdi@parity.io> * Use BoundedVec instead of a type-parameterized BoundedString * cargo fmt * Update frame/atomic-swap/src/lib.rs * use config const * Update lib.rs * update mel_bound * fmt Co-authored-by: Oliver Tale-Yazdi <oliver.tale-yazdi@parity.io> Co-authored-by: Keith Yeung <kungfukeith11@gmail.com>
276 lines
10 KiB
Rust
276 lines
10 KiB
Rust
// This file is part of Substrate.
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// Copyright (C) 2020-2022 Parity Technologies (UK) Ltd.
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// SPDX-License-Identifier: Apache-2.0
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//! # Merkle Mountain Range
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//!
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//! ## Overview
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//!
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//! Details on Merkle Mountain Ranges (MMRs) can be found here:
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//! <https://github.com/mimblewimble/grin/blob/master/doc/mmr.md>
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//!
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//! The MMR pallet constructs a MMR from leaf data obtained on every block from
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//! `LeafDataProvider`. MMR nodes are stored both in:
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//! - on-chain storage - hashes only; not full leaf content)
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//! - off-chain storage - via Indexing API we push full leaf content (and all internal nodes as
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//! well) to the Off-chain DB, so that the data is available for Off-chain workers.
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//! Hashing used for MMR is configurable independently from the rest of the runtime (i.e. not using
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//! `frame_system::Hashing`) so something compatible with external chains can be used (like
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//! Keccak256 for Ethereum compatibility).
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//!
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//! Depending on the usage context (off-chain vs on-chain) the pallet is able to:
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//! - verify MMR leaf proofs (on-chain)
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//! - generate leaf proofs (off-chain)
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//!
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//! See [primitives::Compact] documentation for how you can optimize proof size for leafs that are
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//! composed from multiple elements.
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//!
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//! ## What for?
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//!
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//! Primary use case for this pallet is to generate MMR root hashes, that can latter on be used by
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//! BEEFY protocol (see <https://github.com/paritytech/grandpa-bridge-gadget>).
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//! MMR root hashes along with BEEFY will make it possible to build Super Light Clients (SLC) of
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//! Substrate-based chains. The SLC will be able to follow finality and can be shown proofs of more
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//! details that happened on the source chain.
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//! In that case the chain which contains the pallet generates the Root Hashes and Proofs, which
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//! are then presented to another chain acting as a light client which can verify them.
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//!
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//! Secondary use case is to archive historical data, but still be able to retrieve them on-demand
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//! if needed. For instance if parent block hashes are stored in the MMR it's possible at any point
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//! in time to provide a MMR proof about some past block hash, while this data can be safely pruned
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//! from on-chain storage.
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//!
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//! NOTE This pallet is experimental and not proven to work in production.
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#![cfg_attr(not(feature = "std"), no_std)]
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use codec::Encode;
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use frame_support::weights::Weight;
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use sp_runtime::traits;
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#[cfg(any(feature = "runtime-benchmarks", test))]
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mod benchmarking;
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mod default_weights;
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mod mmr;
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#[cfg(test)]
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mod mock;
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#[cfg(test)]
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mod tests;
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pub use pallet::*;
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pub use pallet_mmr_primitives::{self as primitives, NodeIndex};
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pub trait WeightInfo {
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fn on_initialize(peaks: NodeIndex) -> Weight;
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}
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#[frame_support::pallet]
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pub mod pallet {
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use super::*;
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use frame_support::pallet_prelude::*;
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use frame_system::pallet_prelude::*;
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#[pallet::pallet]
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#[pallet::generate_store(pub(super) trait Store)]
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pub struct Pallet<T, I = ()>(PhantomData<(T, I)>);
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/// This pallet's configuration trait
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#[pallet::config]
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pub trait Config<I: 'static = ()>: frame_system::Config {
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/// Prefix for elements stored in the Off-chain DB via Indexing API.
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///
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/// Each node of the MMR is inserted both on-chain and off-chain via Indexing API.
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/// The former does not store full leaf content, just it's compact version (hash),
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/// and some of the inner mmr nodes might be pruned from on-chain storage.
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/// The latter will contain all the entries in their full form.
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///
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/// Each node is stored in the Off-chain DB under key derived from the
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/// [`Self::INDEXING_PREFIX`] and it's in-tree index (MMR position).
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const INDEXING_PREFIX: &'static [u8];
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/// A hasher type for MMR.
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///
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/// To construct trie nodes that result in merging (bagging) two peaks, depending on the
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/// node kind we take either:
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/// - The node (hash) itself if it's an inner node.
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/// - The hash of SCALE-encoding of the leaf data if it's a leaf node.
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///
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/// Then we create a tuple of these two hashes, SCALE-encode it (concatenate) and
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/// hash, to obtain a new MMR inner node - the new peak.
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type Hashing: traits::Hash<Output = <Self as Config<I>>::Hash>;
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/// The hashing output type.
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///
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/// This type is actually going to be stored in the MMR.
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/// Required to be provided again, to satisfy trait bounds for storage items.
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type Hash: traits::Member
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+ traits::MaybeSerializeDeserialize
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+ sp_std::fmt::Debug
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+ sp_std::hash::Hash
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+ AsRef<[u8]>
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+ AsMut<[u8]>
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+ Copy
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+ Default
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+ codec::Codec
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+ codec::EncodeLike
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+ scale_info::TypeInfo
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+ MaxEncodedLen;
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/// Data stored in the leaf nodes.
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///
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/// The [LeafData](primitives::LeafDataProvider) is responsible for returning the entire
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/// leaf data that will be inserted to the MMR.
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/// [LeafDataProvider](primitives::LeafDataProvider)s can be composed into tuples to put
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/// multiple elements into the tree. In such a case it might be worth using
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/// [primitives::Compact] to make MMR proof for one element of the tuple leaner.
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///
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/// Note that the leaf at each block MUST be unique. You may want to include a block hash or
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/// block number as an easiest way to ensure that.
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type LeafData: primitives::LeafDataProvider;
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/// A hook to act on the new MMR root.
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///
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/// For some applications it might be beneficial to make the MMR root available externally
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/// apart from having it in the storage. For instance you might output it in the header
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/// digest (see [`frame_system::Pallet::deposit_log`]) to make it available for Light
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/// Clients. Hook complexity should be `O(1)`.
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type OnNewRoot: primitives::OnNewRoot<<Self as Config<I>>::Hash>;
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/// Weights for this pallet.
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type WeightInfo: WeightInfo;
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}
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/// Latest MMR Root hash.
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#[pallet::storage]
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#[pallet::getter(fn mmr_root_hash)]
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pub type RootHash<T: Config<I>, I: 'static = ()> =
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StorageValue<_, <T as Config<I>>::Hash, ValueQuery>;
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/// Current size of the MMR (number of leaves).
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#[pallet::storage]
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#[pallet::getter(fn mmr_leaves)]
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pub type NumberOfLeaves<T, I = ()> = StorageValue<_, NodeIndex, ValueQuery>;
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/// Hashes of the nodes in the MMR.
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///
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/// Note this collection only contains MMR peaks, the inner nodes (and leaves)
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/// are pruned and only stored in the Offchain DB.
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#[pallet::storage]
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#[pallet::getter(fn mmr_peak)]
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pub type Nodes<T: Config<I>, I: 'static = ()> =
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StorageMap<_, Identity, NodeIndex, <T as Config<I>>::Hash, OptionQuery>;
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#[pallet::hooks]
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impl<T: Config<I>, I: 'static> Hooks<BlockNumberFor<T>> for Pallet<T, I> {
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fn on_initialize(_n: T::BlockNumber) -> Weight {
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use primitives::LeafDataProvider;
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let leaves = Self::mmr_leaves();
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let peaks_before = mmr::utils::NodesUtils::new(leaves).number_of_peaks();
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let data = T::LeafData::leaf_data();
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// append new leaf to MMR
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let mut mmr: ModuleMmr<mmr::storage::RuntimeStorage, T, I> = mmr::Mmr::new(leaves);
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mmr.push(data).expect("MMR push never fails.");
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// update the size
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let (leaves, root) = mmr.finalize().expect("MMR finalize never fails.");
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<T::OnNewRoot as primitives::OnNewRoot<_>>::on_new_root(&root);
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<NumberOfLeaves<T, I>>::put(leaves);
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<RootHash<T, I>>::put(root);
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let peaks_after = mmr::utils::NodesUtils::new(leaves).number_of_peaks();
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T::WeightInfo::on_initialize(peaks_before.max(peaks_after))
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}
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}
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}
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/// A MMR specific to the pallet.
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type ModuleMmr<StorageType, T, I> = mmr::Mmr<StorageType, T, I, LeafOf<T, I>>;
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/// Leaf data.
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type LeafOf<T, I> = <<T as Config<I>>::LeafData as primitives::LeafDataProvider>::LeafData;
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/// Hashing used for the pallet.
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pub(crate) type HashingOf<T, I> = <T as Config<I>>::Hashing;
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/// Stateless MMR proof verification.
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///
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/// This function can be used to verify received MMR proof (`proof`)
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/// for given leaf data (`leaf`) against a known MMR root hash (`root`).
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///
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/// The verification does not require any storage access.
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pub fn verify_leaf_proof<H, L>(
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root: H::Output,
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leaf: mmr::Node<H, L>,
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proof: primitives::Proof<H::Output>,
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) -> Result<(), primitives::Error>
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where
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H: traits::Hash,
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L: primitives::FullLeaf,
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{
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let is_valid = mmr::verify_leaf_proof::<H, L>(root, leaf, proof)?;
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if is_valid {
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Ok(())
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} else {
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Err(primitives::Error::Verify.log_debug(("The proof is incorrect.", root)))
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}
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}
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impl<T: Config<I>, I: 'static> Pallet<T, I> {
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fn offchain_key(pos: NodeIndex) -> sp_std::prelude::Vec<u8> {
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(T::INDEXING_PREFIX, pos).encode()
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}
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/// Generate a MMR proof for the given `leaf_index`.
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///
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/// Note this method can only be used from an off-chain context
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/// (Offchain Worker or Runtime API call), since it requires
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/// all the leaves to be present.
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/// It may return an error or panic if used incorrectly.
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pub fn generate_proof(
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leaf_index: NodeIndex,
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) -> Result<(LeafOf<T, I>, primitives::Proof<<T as Config<I>>::Hash>), primitives::Error> {
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let mmr: ModuleMmr<mmr::storage::OffchainStorage, T, I> = mmr::Mmr::new(Self::mmr_leaves());
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mmr.generate_proof(leaf_index)
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}
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/// Verify MMR proof for given `leaf`.
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///
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/// This method is safe to use within the runtime code.
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/// It will return `Ok(())` if the proof is valid
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/// and an `Err(..)` if MMR is inconsistent (some leaves are missing)
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/// or the proof is invalid.
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pub fn verify_leaf(
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leaf: LeafOf<T, I>,
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proof: primitives::Proof<<T as Config<I>>::Hash>,
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) -> Result<(), primitives::Error> {
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if proof.leaf_count > Self::mmr_leaves() ||
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proof.leaf_count == 0 ||
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proof.items.len() as u32 > mmr::utils::NodesUtils::new(proof.leaf_count).depth()
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{
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return Err(primitives::Error::Verify
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.log_debug("The proof has incorrect number of leaves or proof items."))
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}
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let mmr: ModuleMmr<mmr::storage::OffchainStorage, T, I> = mmr::Mmr::new(proof.leaf_count);
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let is_valid = mmr.verify_leaf_proof(leaf, proof)?;
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if is_valid {
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Ok(())
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} else {
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Err(primitives::Error::Verify.log_debug("The proof is incorrect."))
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}
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}
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}
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