100 Commits

Author SHA1 Message Date
Al-Kindi-0
0f06fa30a9 minor nits 2024-01-22 19:42:09 +01:00
Grzegorz Swirski
0b074a795d feat: use AVX2 instructions whenever available 2024-01-22 19:42:09 +01:00
Bobbin Threadbare
862ccf54dd Merge pull request #234 from reilabs/avx
feat: implement RPO hash using AVX2 instructions
2024-01-04 10:48:52 -08:00
Grzegorz Swirski
88bcdfd576 feat: use AVX2 instructions whenever available 2024-01-04 19:08:43 +01:00
Bobbin Threadbare
290894f497 Merge pull request #242 from 0xPolygonMiden/bobbin-partial-mmr-apply
Improvements to `PartialMmr::apply_delta()`
2023-12-24 13:58:03 -08:00
Bobbin Threadbare
4aac00884c fix: bugfix in PartialMmr apply delta 2023-12-23 20:38:08 -08:00
Bobbin Threadbare
2ef6f79656 Merge pull request #241 from 0xPolygonMiden/al-export-default-randcoin
Export default randomcoin
2023-12-21 11:21:56 -08:00
Al-Kindi-0
5142e2fd31 chore: export default Winterfell randomcoin 2023-12-21 14:26:23 +01:00
Bobbin Threadbare
9fb41337ec feat: add Clone derive to PartialMmr 2023-12-21 01:24:20 -08:00
Bobbin Threadbare
0296e05ccd refactor: return MmrPeaks from PartialMmr::peaks() 2023-12-21 01:00:52 -08:00
Bobbin Threadbare
499f97046d fix: typos 2023-12-21 00:17:41 -08:00
Bobbin Threadbare
600feafe53 feat: implement inner_nodes() iterator for PartialMmr 2023-12-21 00:16:36 -08:00
Bobbin Threadbare
9d854f1fcb feat: add serialization to RpoRandomCoin 2023-12-21 00:15:46 -08:00
Al-Kindi-0
af76cb10d0 feat: move RpoRandomCoin and define Rng trait
nits: minor

chore: update log and readme
2023-12-21 00:15:46 -08:00
Augusto F. Hack
4758e0672f serde: for MerklePath, ValuePath, and RootPath 2023-12-21 00:15:46 -08:00
Philippe Laferrière
8bb080a91d Implement SimpleSmt::set_subtree (#232)
* recompute_nodes_from_indeX_to_root

* MerkleError variant

* set_subtree

* test_simplesmt_set_subtree

* test_simplesmt_set_subtree_entire_tree

* test

* set_subtree: return root
2023-12-21 00:15:46 -08:00
Augusto F. Hack
e5f3b28645 bugfix: TSMT failed to verify empty word for depth 64.
When a prefix is pushed to the depth 64, the entry list includes only
the values different than ZERO. This is required, since each block
represents a 2^192 values.

The bug was in the proof membership code, that failed to handle the case
of a key that was not in the list, because the depth is 64 and the value
was not set.
2023-12-21 00:15:46 -08:00
Philippe Laferrière
29e0d07129 MmrPeaks::hash_peaks() returns Digest (#230) 2023-12-21 00:15:46 -08:00
Philippe Laferrière
81a94ecbe7 Remove ExactSizeIterator constraint from SimpleSmt::with_leaves() (#228)
* Change InvalidNumEntries error

* max computation

* remove length check

* remove ExactSizeIterator constraint

* fix InvalidNumEntries error condition

* 2_usize
2023-12-21 00:15:46 -08:00
Augusto F. Hack
223fbf887d simplesmt: simplify duplicate check 2023-12-21 00:15:46 -08:00
Philippe Laferrière
9e77a7c9b7 Introduce SimpleSmt::with_contiguous_leaves() (#227)
* with_contiguous_leaves

* test
2023-12-21 00:15:46 -08:00
Augusto F. Hack
894e20fe0c simplesmt: bugfix, index must be validated before modifying the tree 2023-12-21 00:15:46 -08:00
Austin Abell
7ec7b06574 feat: memoize Signature polynomial decoding 2023-12-21 00:15:46 -08:00
Philippe Laferriere
2499a8a2dd Consuming iterator for RpoDigest 2023-12-21 00:15:46 -08:00
Augusto F. Hack
800994c69b mmr: add into_parts for the peaks 2023-12-21 00:15:46 -08:00
Augusto F. Hack
26560605bf simple_smt: reduce serialized size, use static hashes of the empty word 2023-12-21 00:15:46 -08:00
Augusto F. Hack
672340d0c2 mmr: support accumulator of older forest versions 2023-12-21 00:15:46 -08:00
Bobbin Threadbare
8083b02aef chore: update changelog 2023-12-21 00:15:46 -08:00
Al-Kindi-0
ecb8719d45 chore: bump winterfell release to .7 2023-12-21 00:15:46 -08:00
Bobbin Threadbare
4144f98560 docs: update bench readme 2023-12-21 00:15:46 -08:00
Augusto F. Hack
c726050957 mmr: support proofs with older forest versions 2023-12-21 00:15:46 -08:00
Augusto F. Hack
9239340888 mmr: support arbitrary from/to delta updates 2023-12-21 00:15:46 -08:00
Augusto F. Hack
97ee9298a4 mmr: publicly export MmrDelta 2023-12-21 00:15:46 -08:00
Bobbin Threadbare
bfae06e128 docs: update changelog 2023-12-21 00:15:46 -08:00
Al-Kindi-0
b4e2d63c10 docs: added RPX benchmarks 2023-12-21 00:15:46 -08:00
Al-Kindi-0
9679329746 feat: RPX (xHash12) hash function implementation 2023-12-21 00:15:45 -08:00
Augusto F. Hack
2bbea37dbe rpo: added conversions for digest 2023-12-21 00:14:28 -08:00
Bobbin Threadbare
83000940da chore: update main readme 2023-12-21 00:14:28 -08:00
Augusto F. Hack
f44175e7a9 config: add .editorconfig 2023-12-21 00:14:28 -08:00
Bobbin Threadbare
4cf8eebff5 chore: update crate version to v0.8 2023-12-21 00:14:28 -08:00
Bobbin Threadbare
c86bdc6d51 Merge pull request #226 from shuoer86/main
chore: fix typos
2023-11-26 15:18:25 -08:00
shuoer86
650508cbc9 chore: fix typos 2023-11-26 21:19:03 +08:00
Augusto Hack
012ad5ae93 Merge pull request #195 from 0xPolygonMiden/hacka-partial-mmr2
mmr: added partial mmr
2023-10-19 20:30:24 +02:00
Augusto F. Hack
bde20f9752 mmr: added partial mmr 2023-10-19 20:15:49 +02:00
Bobbin Threadbare
7f3d4b8966 fix: RPO Falcon build on Windows 2023-10-10 15:16:51 -07:00
Bobbin Threadbare
1a00c7035f fix: glob dependency 2023-10-06 21:20:48 -07:00
Bobbin Threadbare
7ddcdc5e39 docs: add module descriptions 2023-10-06 21:13:42 -07:00
Bobbin Threadbare
bfd05e3d38 Merge pull request #164 from 0xPolygonMiden/next
Tracking PR for v0.7.0 release
2023-10-06 19:54:04 -07:00
Bobbin Threadbare
9235a78afd chore: add date for v0.7 release 2023-10-06 17:06:06 -07:00
Bobbin Threadbare
78aa714b89 Merge pull request #193 from 0xPolygonMiden/bobbin-v0.7-release-prep
v0.7 release prep
2023-10-06 06:57:45 -07:00
Bobbin Threadbare
aeadc96b05 docs: add signature section to main readme 2023-10-06 06:20:15 -07:00
Bobbin Threadbare
0fb1ef837d Merge pull request #192 from 0xPolygonMiden/bobbin-feature-cleanup
Feature clean up
2023-10-04 10:30:59 -07:00
Bobbin Threadbare
cf91c89845 refactor: clean up features 2023-10-03 23:26:45 -07:00
Bobbin Threadbare
025c25fdd9 Merge pull request #179 from 0xPolygonMiden/al-bindings_second_attempt
Falcon DSA
2023-10-03 12:19:08 -07:00
Al-Kindi-0
8078021aff feat: Falcon 512 signature 2023-10-03 20:45:18 +02:00
Bobbin Threadbare
b1dbcee21d Merge pull request #189 from 0xPolygonMiden/frisitano-vault-delta
modify MerkleStore::non_empty_leaves to support TSMT
2023-10-02 18:04:56 -07:00
Bobbin Threadbare
396418659d Merge pull request #190 from reilabs/armv8-a+sve-next
feat: implement RPO hash using SVE instructions
2023-09-25 13:22:01 -07:00
Grzegorz Swirski
01be4d6b9d refactor: move arch specific code to rpo folder, don't run SVE on CI 2023-09-24 22:29:25 +02:00
Grzegorz Swirski
701a187e7f feat: implement RPO hash using SVE instructionss 2023-09-20 12:11:53 +02:00
frisitano
1fa2895724 refactor: modify MerkleStore::non_empty_leaves to support TSMT 2023-09-19 16:19:17 +08:00
Andrey Khmuro
90dd3acb12 Merge pull request #187 from 0xPolygonMiden/andrew-add-empty-word
Create empty word constant
2023-08-31 21:40:36 +03:00
Andrey Khmuro
2f09410e87 refactor: replace with EMPTY_WORD, ZERO and ONE 2023-08-31 20:36:40 +02:00
Bobbin Threadbare
51d527b568 Merge pull request #185 from 0xPolygonMiden/bobbin-leaf-traversal
Add more leaf traversal methods for `MerkleStore`
2023-08-28 16:54:14 -07:00
Bobbin Threadbare
9f54c82d62 feat: implement additional leaf traversal methods on MerkleStore 2023-08-28 16:50:34 -07:00
Bobbin Threadbare
c7f1535974 Merge pull request #182 from 0xPolygonMiden/andrew-tsmt-benchmark
Benchmark of the Tiered SMT
2023-08-17 16:12:23 -07:00
Andrey Khmuro
c1d0612115 refactor: run all benchmarks at once, leave only size run option 2023-08-17 21:50:01 +02:00
Andrey Khmuro
2214ff2425 chore: TSMT benchmark 2023-08-17 20:09:02 +02:00
Augusto Hack
85034af1df Merge pull request #183 from 0xPolygonMiden/hacka-move-error-to-mod
error: moved to its own module
2023-08-15 16:44:11 +02:00
Augusto F. Hack
f7e6922bff error: moved to its own module 2023-08-15 16:36:46 +02:00
Bobbin Threadbare
7780a50dad fix: remove PQClean submodule 2023-08-12 21:31:31 -07:00
Bobbin Threadbare
6d0c7567f0 chore: minor code organization improvement 2023-08-12 09:59:02 -07:00
Bobbin Threadbare
854ade1bfc Merge pull request #181 from 0xPolygonMiden/tohrnii-blake3-ord
feat: derive ord and partialord for blake3digest
2023-08-11 13:42:09 -07:00
tohrnii
fb649df1e7 feat: derive ord and partialord for blake3digest 2023-08-11 20:09:34 +00:00
Augusto Hack
d9e85230a6 Merge pull request #180 from 0xPolygonMiden/hacka-conditional-support-for-serde
feature: add conditional support for serde
2023-08-11 14:03:43 +02:00
Augusto F. Hack
8cf5e9fd2c feature: add conditional support for serde 2023-08-11 13:59:53 +02:00
Bobbin Threadbare
03f89f0aff Merge pull request #177 from 0xPolygonMiden/bobbin-tsmt-delete-64
Bug fix in TSMT for depth 64 removal
2023-08-07 11:13:35 -07:00
Augusto Hack
2fa1b9768a Merge pull request #178 from 0xPolygonMiden/hacka-export-tsmt-error
tsmt: export smt error
2023-08-07 11:25:55 +02:00
Augusto F. Hack
f71d98970b tsmt: export smt error 2023-08-07 11:13:24 +02:00
Bobbin Threadbare
b3e7578ab2 fix: misspelled variant name in TieredSmtProofError 2023-08-04 22:46:23 -07:00
Bobbin Threadbare
5c6a20cb60 fix: bug in TSMT for depth 64 removal 2023-08-04 22:36:45 -07:00
Augusto Hack
bc364b72c0 Merge pull request #176 from 0xPolygonMiden/hacka-tsmt-error-codes
tsmt: return error code instead of panic
2023-08-03 19:11:35 +02:00
Augusto F. Hack
83b6946432 tsmt: return error code instead of panic 2023-08-03 18:57:19 +02:00
Augusto Hack
3dfcc0810f Merge pull request #175 from 0xPolygonMiden/hacka-tsmt-proof-basic-traits
TSMT proof basic traits
2023-08-03 15:54:29 +02:00
Augusto F. Hack
33ef78f8f5 tsmt: add basic traits and into/from parts methods 2023-08-03 15:49:28 +02:00
Augusto Hack
b6eb1f9134 Merge pull request #174 from 0xPolygonMiden/bobbin-tsmt-proof
Implement ability to generate TSMT proofs
2023-08-03 11:31:18 +02:00
Augusto Hack
92bb3ac462 Merge pull request #173 from 0xPolygonMiden/bobbin-tsmt-refactor
Implement value clearing in TSMT
2023-08-03 11:28:54 +02:00
Bobbin Threadbare
1ac30f8989 feat: implement ability to generate TSMT proofs 2023-08-03 01:34:09 -07:00
Bobbin Threadbare
6810b5e3ab fix: node type check in inner_nodes() iterator of TSMT 2023-08-02 20:51:43 -07:00
Bobbin Threadbare
a03f2b5d5e feat: implement iterator over key-value pairs for TSMT 2023-08-01 11:02:29 -07:00
Bobbin Threadbare
1bb75e85dd feat: implement value removal in TSMT 2023-07-31 21:23:18 -07:00
Bobbin Threadbare
1578a9ee1f refactor: simplify TSTM leaf node hashing 2023-07-27 21:15:45 -07:00
Bobbin Threadbare
e49bccd7b7 Merge pull request #165 from 0xPolygonMiden/andrew-replace-mps
Replace MerklePathSet with PartialMerkleTree
2023-07-27 16:26:34 -07:00
Andrey Khmuro
71b04d0734 refactor: replace MerklePathSet with PartialMerkleTree 2023-07-27 22:03:16 +03:00
Bobbin Threadbare
8c749e473a chore: update blake3 dependency to v1.4 2023-07-26 12:10:01 -07:00
frisitano
809b572a40 Merge pull request #171 from 0xPolygonMiden/frisitano-recording-map-finalizer
Introduce TryApplyDiff and refactor RecordingMap finalizer
2023-07-26 15:38:16 +02:00
frisitano
da2d08714d feat: introduce TryApplyDiff and refactor RecordingMap finalizer 2023-07-26 12:14:39 +02:00
frisitano
aaf1788228 Merge pull request #166 from 0xPolygonMiden/frisitano-tx-result
feat: introduce `Diff` traits and objects
2023-07-20 16:45:45 +02:00
frisitano
44e60e7228 feat: introduce diff traits and objects 2023-07-20 16:41:59 +02:00
Andrey Khmuro
08aec4443c Enhancement of the Partial Merkle Tree (#163)
feat: implement additional functionality for the PartialMerkleTree
2023-07-06 00:19:03 +03:00
Bobbin Threadbare
813fe24b88 chore: update crate version to v0.7.0 2023-06-25 02:14:34 -07:00
89 changed files with 13230 additions and 2358 deletions

20
.editorconfig Normal file
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@@ -0,0 +1,20 @@
# Documentation available at editorconfig.org
root=true
[*]
ident_style = space
ident_size = 4
end_of_line = lf
charset = utf-8
trim_trailing_whitespace = true
insert_final_newline = true
[*.rs]
max_line_length = 100
[*.md]
trim_trailing_whitespace = false
[*.yml]
ident_size = 2

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@@ -1,2 +0,0 @@
# initial run of pre-commit
956e4c6fad779ef15eaa27702b26f05f65d31494

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@@ -19,6 +19,8 @@ jobs:
args: [--no-default-features --target wasm32-unknown-unknown] args: [--no-default-features --target wasm32-unknown-unknown]
steps: steps:
- uses: actions/checkout@main - uses: actions/checkout@main
with:
submodules: recursive
- name: Install rust - name: Install rust
uses: actions-rs/toolchain@v1 uses: actions-rs/toolchain@v1
with: with:
@@ -39,9 +41,11 @@ jobs:
matrix: matrix:
toolchain: [stable, nightly] toolchain: [stable, nightly]
os: [ubuntu] os: [ubuntu]
features: [--all-features, --no-default-features] features: ["--features default,std,serde", --no-default-features]
steps: steps:
- uses: actions/checkout@main - uses: actions/checkout@main
with:
submodules: recursive
- name: Install rust - name: Install rust
uses: actions-rs/toolchain@v1 uses: actions-rs/toolchain@v1
with: with:
@@ -59,9 +63,11 @@ jobs:
strategy: strategy:
fail-fast: false fail-fast: false
matrix: matrix:
features: [--all-features, --no-default-features] features: ["--features default,std,serde", --no-default-features]
steps: steps:
- uses: actions/checkout@main - uses: actions/checkout@main
with:
submodules: recursive
- name: Install minimal nightly with clippy - name: Install minimal nightly with clippy
uses: actions-rs/toolchain@v1 uses: actions-rs/toolchain@v1
with: with:

3
.gitignore vendored
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@@ -8,3 +8,6 @@ Cargo.lock
# These are backup files generated by rustfmt # These are backup files generated by rustfmt
**/*.rs.bk **/*.rs.bk
# Generated by cmake
cmake-build-*

3
.gitmodules vendored Normal file
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@@ -0,0 +1,3 @@
[submodule "PQClean"]
path = PQClean
url = https://github.com/PQClean/PQClean.git

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@@ -35,8 +35,8 @@ repos:
name: Cargo check --all-targets --no-default-features name: Cargo check --all-targets --no-default-features
args: ["+stable", "check", "--all-targets", "--no-default-features"] args: ["+stable", "check", "--all-targets", "--no-default-features"]
- id: cargo - id: cargo
name: Cargo check --all-targets --all-features name: Cargo check --all-targets --features default,std,serde
args: ["+stable", "check", "--all-targets", "--all-features"] args: ["+stable", "check", "--all-targets", "--features", "default,std,serde"]
# Unlike fmt, clippy will not be automatically applied # Unlike fmt, clippy will not be automatically applied
- id: cargo - id: cargo
name: Cargo clippy name: Cargo clippy

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@@ -1,3 +1,26 @@
## 0.8.0 (TBD)
* Implemented the `PartialMmr` data structure (#195).
* Updated Winterfell dependency to v0.7 (#200)
* Implemented RPX hash function (#201).
* Added `FeltRng` and `RpoRandomCoin` (#237).
* Added `inner_nodes()` method to `PartialMmr` (#238).
## 0.7.1 (2023-10-10)
* Fixed RPO Falcon signature build on Windows.
## 0.7.0 (2023-10-05)
* Replaced `MerklePathSet` with `PartialMerkleTree` (#165).
* Implemented clearing of nodes in `TieredSmt` (#173).
* Added ability to generate inclusion proofs for `TieredSmt` (#174).
* Implemented Falcon DSA (#179).
* Added conditional `serde`` support for various structs (#180).
* Implemented benchmarking for `TieredSmt` (#182).
* Added more leaf traversal methods for `MerkleStore` (#185).
* Added SVE acceleration for RPO hash function (#189).
## 0.6.0 (2023-06-25) ## 0.6.0 (2023-06-25)
* [BREAKING] Added support for recording capabilities for `MerkleStore` (#162). * [BREAKING] Added support for recording capabilities for `MerkleStore` (#162).

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@@ -1,16 +1,23 @@
[package] [package]
name = "miden-crypto" name = "miden-crypto"
version = "0.6.0" version = "0.8.0"
description = "Miden Cryptographic primitives" description = "Miden Cryptographic primitives"
authors = ["miden contributors"] authors = ["miden contributors"]
readme = "README.md" readme = "README.md"
license = "MIT" license = "MIT"
repository = "https://github.com/0xPolygonMiden/crypto" repository = "https://github.com/0xPolygonMiden/crypto"
documentation = "https://docs.rs/miden-crypto/0.6.0" documentation = "https://docs.rs/miden-crypto/0.8.0"
categories = ["cryptography", "no-std"] categories = ["cryptography", "no-std"]
keywords = ["miden", "crypto", "hash", "merkle"] keywords = ["miden", "crypto", "hash", "merkle"]
edition = "2021" edition = "2021"
rust-version = "1.67" rust-version = "1.73"
[[bin]]
name = "miden-crypto"
path = "src/main.rs"
bench = false
doctest = false
required-features = ["executable"]
[[bench]] [[bench]]
name = "hash" name = "hash"
@@ -25,16 +32,30 @@ name = "store"
harness = false harness = false
[features] [features]
default = ["blake3/default", "std", "winter_crypto/default", "winter_math/default", "winter_utils/default"] default = ["std"]
std = ["blake3/std", "winter_crypto/std", "winter_math/std", "winter_utils/std"] executable = ["dep:clap", "dep:rand_utils", "std"]
serde = ["dep:serde", "serde?/alloc", "winter_math/serde"]
std = ["blake3/std", "dep:cc", "dep:libc", "winter_crypto/std", "winter_math/std", "winter_utils/std"]
sve = ["std"]
[dependencies] [dependencies]
blake3 = { version = "1.3", default-features = false } blake3 = { version = "1.5", default-features = false }
winter_crypto = { version = "0.6", package = "winter-crypto", default-features = false } clap = { version = "4.4", features = ["derive"], optional = true }
winter_math = { version = "0.6", package = "winter-math", default-features = false } libc = { version = "0.2", default-features = false, optional = true }
winter_utils = { version = "0.6", package = "winter-utils", default-features = false } rand_utils = { version = "0.7", package = "winter-rand-utils", optional = true }
serde = { version = "1.0", features = [ "derive" ], default-features = false, optional = true }
winter_crypto = { version = "0.7", package = "winter-crypto", default-features = false }
winter_math = { version = "0.7", package = "winter-math", default-features = false }
winter_utils = { version = "0.7", package = "winter-utils", default-features = false }
rayon = "1.8.0"
rand = "0.8.4"
rand_core = { version = "0.5", default-features = false }
[dev-dependencies] [dev-dependencies]
criterion = { version = "0.5", features = ["html_reports"] } criterion = { version = "0.5", features = ["html_reports"] }
proptest = "1.1.0" proptest = "1.3"
rand_utils = { version = "0.6", package = "winter-rand-utils" } rand_utils = { version = "0.7", package = "winter-rand-utils" }
[build-dependencies]
cc = { version = "1.0", features = ["parallel"], optional = true }
glob = "0.3"

1
PQClean Submodule

Submodule PQClean added at c3abebf4ab

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@@ -6,22 +6,36 @@ This crate contains cryptographic primitives used in Polygon Miden.
* [BLAKE3](https://github.com/BLAKE3-team/BLAKE3) hash function with 256-bit, 192-bit, or 160-bit output. The 192-bit and 160-bit outputs are obtained by truncating the 256-bit output of the standard BLAKE3. * [BLAKE3](https://github.com/BLAKE3-team/BLAKE3) hash function with 256-bit, 192-bit, or 160-bit output. The 192-bit and 160-bit outputs are obtained by truncating the 256-bit output of the standard BLAKE3.
* [RPO](https://eprint.iacr.org/2022/1577) hash function with 256-bit output. This hash function is an algebraic hash function suitable for recursive STARKs. * [RPO](https://eprint.iacr.org/2022/1577) hash function with 256-bit output. This hash function is an algebraic hash function suitable for recursive STARKs.
* [RPX](https://eprint.iacr.org/2023/1045) hash function with 256-bit output. Similar to RPO, this hash function is suitable for recursive STARKs but it is about 2x faster as compared to RPO.
For performance benchmarks of these hash functions and their comparison to other popular hash functions please see [here](./benches/). For performance benchmarks of these hash functions and their comparison to other popular hash functions please see [here](./benches/).
## Merkle ## Merkle
[Merkle module](./src/merkle/) provides a set of data structures related to Merkle trees. All these data structures are implemented using the RPO hash function described above. The data structures are: [Merkle module](./src/merkle/) provides a set of data structures related to Merkle trees. All these data structures are implemented using the RPO hash function described above. The data structures are:
* `Mmr`: a Merkle mountain range structure designed to function as an append-only log.
* `MerkleTree`: a regular fully-balanced binary Merkle tree. The depth of this tree can be at most 64.
* `MerklePathSet`: a collection of Merkle authentication paths all resolving to the same root. The length of the paths can be at most 64.
* `MerkleStore`: a collection of Merkle trees of different heights designed to efficiently store trees with common subtrees. When instantiated with `RecordingMap`, a Merkle store records all accesses to the original data. * `MerkleStore`: a collection of Merkle trees of different heights designed to efficiently store trees with common subtrees. When instantiated with `RecordingMap`, a Merkle store records all accesses to the original data.
* `MerkleTree`: a regular fully-balanced binary Merkle tree. The depth of this tree can be at most 64.
* `Mmr`: a Merkle mountain range structure designed to function as an append-only log.
* `PartialMerkleTree`: a partial view of a Merkle tree where some sub-trees may not be known. This is similar to a collection of Merkle paths all resolving to the same root. The length of the paths can be at most 64. * `PartialMerkleTree`: a partial view of a Merkle tree where some sub-trees may not be known. This is similar to a collection of Merkle paths all resolving to the same root. The length of the paths can be at most 64.
* `PartialMmr`: a partial view of a Merkle mountain range structure.
* `SimpleSmt`: a Sparse Merkle Tree (with no compaction), mapping 64-bit keys to 4-element values. * `SimpleSmt`: a Sparse Merkle Tree (with no compaction), mapping 64-bit keys to 4-element values.
* `TieredSmt`: a Sparse Merkle tree (with compaction), mapping 4-element keys to 4-element values. * `TieredSmt`: a Sparse Merkle tree (with compaction), mapping 4-element keys to 4-element values.
The module also contains additional supporting components such as `NodeIndex`, `MerklePath`, and `MerkleError` to assist with tree indexation, opening proofs, and reporting inconsistent arguments/state. The module also contains additional supporting components such as `NodeIndex`, `MerklePath`, and `MerkleError` to assist with tree indexation, opening proofs, and reporting inconsistent arguments/state.
## Signatures
[DSA module](./src/dsa) provides a set of digital signature schemes supported by default in the Miden VM. Currently, these schemes are:
* `RPO Falcon512`: a variant of the [Falcon](https://falcon-sign.info/) signature scheme. This variant differs from the standard in that instead of using SHAKE256 hash function in the *hash-to-point* algorithm we use RPO256. This makes the signature more efficient to verify in Miden VM.
For the above signatures, key generation and signing is available only in the `std` context (see [crate features](#crate-features) below), while signature verification is available in `no_std` context as well.
## Pseudo-Random Element Generator
[Pseudo random element generator module](./src/rand/) provides a set of traits and data structures that facilitate generating pseudo-random elements in the context of Miden VM and Miden rollup. The module currently includes:
* `FeltRng`: a trait for generating random field elements and random 4 field elements.
* `RpoRandomCoin`: a struct implementing `FeltRng` as well as the [`RandomCoin`](https://github.com/facebook/winterfell/blob/main/crypto/src/random/mod.rs) trait.
## Crate features ## Crate features
This crate can be compiled with the following features: This crate can be compiled with the following features:
@@ -32,6 +46,12 @@ Both of these features imply the use of [alloc](https://doc.rust-lang.org/alloc/
To compile with `no_std`, disable default features via `--no-default-features` flag. To compile with `no_std`, disable default features via `--no-default-features` flag.
### SVE acceleration
On platforms with [SVE](https://en.wikipedia.org/wiki/AArch64#Scalable_Vector_Extension_(SVE)) support, RPO hash function can be accelerated by using the vector processing unit. To enable SVE acceleration, the code needs to be compiled with the `sve` feature enabled. This feature has an effect only if the platform exposes `target-feature=sve` flag. On some platforms (e.g., Graviton 3), for this flag to be set, the compilation must be done in "native" mode. For example, to enable SVE acceleration on Graviton 3, we can execute the following:
```shell
RUSTFLAGS="-C target-cpu=native" cargo build --release --features sve
```
## Testing ## Testing
You can use cargo defaults to test the library: You can use cargo defaults to test the library:

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@@ -0,0 +1,78 @@
#include <stddef.h>
#include <arm_sve.h>
#include "library.h"
#include "rpo_hash.h"
// The STATE_WIDTH of RPO hash is 12x u64 elements.
// The current generation of SVE-enabled processors - Neoverse V1
// (e.g. AWS Graviton3) have 256-bit vector registers (4x u64)
// This allows us to split the state into 3 vectors of 4 elements
// and process all 3 independent of each other.
// We see the biggest performance gains by leveraging both
// vector and scalar operations on parts of the state array.
// Due to high latency of vector operations, the processor is able
// to reorder and pipeline scalar instructions while we wait for
// vector results. This effectively gives us some 'free' scalar
// operations and masks vector latency.
//
// This also means that we can fully saturate all four arithmetic
// units of the processor (2x scalar, 2x SIMD)
//
// THIS ANALYSIS NEEDS TO BE PERFORMED AGAIN ONCE PROCESSORS
// GAIN WIDER REGISTERS. It's quite possible that with 8x u64
// vectors processing 2 partially filled vectors might
// be easier and faster than dealing with scalar operations
// on the remainder of the array.
//
// FOR NOW THIS IS ONLY ENABLED ON 4x u64 VECTORS! It falls back
// to the regular, already highly-optimized scalar version
// if the conditions are not met.
bool add_constants_and_apply_sbox(uint64_t state[STATE_WIDTH], uint64_t constants[STATE_WIDTH]) {
const uint64_t vl = svcntd(); // number of u64 numbers in one SVE vector
if (vl != 4) {
return false;
}
svbool_t ptrue = svptrue_b64();
svuint64_t state1 = svld1(ptrue, state + 0*vl);
svuint64_t state2 = svld1(ptrue, state + 1*vl);
svuint64_t const1 = svld1(ptrue, constants + 0*vl);
svuint64_t const2 = svld1(ptrue, constants + 1*vl);
add_constants(ptrue, &state1, &const1, &state2, &const2, state+8, constants+8);
apply_sbox(ptrue, &state1, &state2, state+8);
svst1(ptrue, state + 0*vl, state1);
svst1(ptrue, state + 1*vl, state2);
return true;
}
bool add_constants_and_apply_inv_sbox(uint64_t state[STATE_WIDTH], uint64_t constants[STATE_WIDTH]) {
const uint64_t vl = svcntd(); // number of u64 numbers in one SVE vector
if (vl != 4) {
return false;
}
svbool_t ptrue = svptrue_b64();
svuint64_t state1 = svld1(ptrue, state + 0 * vl);
svuint64_t state2 = svld1(ptrue, state + 1 * vl);
svuint64_t const1 = svld1(ptrue, constants + 0 * vl);
svuint64_t const2 = svld1(ptrue, constants + 1 * vl);
add_constants(ptrue, &state1, &const1, &state2, &const2, state + 8, constants + 8);
apply_inv_sbox(ptrue, &state1, &state2, state + 8);
svst1(ptrue, state + 0 * vl, state1);
svst1(ptrue, state + 1 * vl, state2);
return true;
}

View File

@@ -0,0 +1,12 @@
#ifndef CRYPTO_LIBRARY_H
#define CRYPTO_LIBRARY_H
#include <stdint.h>
#include <stdbool.h>
#define STATE_WIDTH 12
bool add_constants_and_apply_sbox(uint64_t state[STATE_WIDTH], uint64_t constants[STATE_WIDTH]);
bool add_constants_and_apply_inv_sbox(uint64_t state[STATE_WIDTH], uint64_t constants[STATE_WIDTH]);
#endif //CRYPTO_LIBRARY_H

View File

@@ -0,0 +1,221 @@
#ifndef RPO_SVE_RPO_HASH_H
#define RPO_SVE_RPO_HASH_H
#include <arm_sve.h>
#include <stddef.h>
#include <stdint.h>
#include <string.h>
#define COPY(NAME, VIN1, VIN2, SIN3) \
svuint64_t NAME ## _1 = VIN1; \
svuint64_t NAME ## _2 = VIN2; \
uint64_t NAME ## _3[4]; \
memcpy(NAME ## _3, SIN3, 4 * sizeof(uint64_t))
#define MULTIPLY(PRED, DEST, OP) \
mul(PRED, &DEST ## _1, &OP ## _1, &DEST ## _2, &OP ## _2, DEST ## _3, OP ## _3)
#define SQUARE(PRED, NAME) \
sq(PRED, &NAME ## _1, &NAME ## _2, NAME ## _3)
#define SQUARE_DEST(PRED, DEST, SRC) \
COPY(DEST, SRC ## _1, SRC ## _2, SRC ## _3); \
SQUARE(PRED, DEST);
#define POW_ACC(PRED, NAME, CNT, TAIL) \
for (size_t i = 0; i < CNT; i++) { \
SQUARE(PRED, NAME); \
} \
MULTIPLY(PRED, NAME, TAIL);
#define POW_ACC_DEST(PRED, DEST, CNT, HEAD, TAIL) \
COPY(DEST, HEAD ## _1, HEAD ## _2, HEAD ## _3); \
POW_ACC(PRED, DEST, CNT, TAIL)
extern inline void add_constants(
svbool_t pg,
svuint64_t *state1,
svuint64_t *const1,
svuint64_t *state2,
svuint64_t *const2,
uint64_t *state3,
uint64_t *const3
) {
uint64_t Ms = 0xFFFFFFFF00000001ull;
svuint64_t Mv = svindex_u64(Ms, 0);
uint64_t p_1 = Ms - const3[0];
uint64_t p_2 = Ms - const3[1];
uint64_t p_3 = Ms - const3[2];
uint64_t p_4 = Ms - const3[3];
uint64_t x_1, x_2, x_3, x_4;
uint32_t adj_1 = -__builtin_sub_overflow(state3[0], p_1, &x_1);
uint32_t adj_2 = -__builtin_sub_overflow(state3[1], p_2, &x_2);
uint32_t adj_3 = -__builtin_sub_overflow(state3[2], p_3, &x_3);
uint32_t adj_4 = -__builtin_sub_overflow(state3[3], p_4, &x_4);
state3[0] = x_1 - (uint64_t)adj_1;
state3[1] = x_2 - (uint64_t)adj_2;
state3[2] = x_3 - (uint64_t)adj_3;
state3[3] = x_4 - (uint64_t)adj_4;
svuint64_t p1 = svsub_x(pg, Mv, *const1);
svuint64_t p2 = svsub_x(pg, Mv, *const2);
svuint64_t x1 = svsub_x(pg, *state1, p1);
svuint64_t x2 = svsub_x(pg, *state2, p2);
svbool_t pt1 = svcmplt_u64(pg, *state1, p1);
svbool_t pt2 = svcmplt_u64(pg, *state2, p2);
*state1 = svsub_m(pt1, x1, (uint32_t)-1);
*state2 = svsub_m(pt2, x2, (uint32_t)-1);
}
extern inline void mul(
svbool_t pg,
svuint64_t *r1,
const svuint64_t *op1,
svuint64_t *r2,
const svuint64_t *op2,
uint64_t *r3,
const uint64_t *op3
) {
__uint128_t x_1 = r3[0];
__uint128_t x_2 = r3[1];
__uint128_t x_3 = r3[2];
__uint128_t x_4 = r3[3];
x_1 *= (__uint128_t) op3[0];
x_2 *= (__uint128_t) op3[1];
x_3 *= (__uint128_t) op3[2];
x_4 *= (__uint128_t) op3[3];
uint64_t x0_1 = x_1;
uint64_t x0_2 = x_2;
uint64_t x0_3 = x_3;
uint64_t x0_4 = x_4;
svuint64_t l1 = svmul_x(pg, *r1, *op1);
svuint64_t l2 = svmul_x(pg, *r2, *op2);
uint64_t x1_1 = (x_1 >> 64);
uint64_t x1_2 = (x_2 >> 64);
uint64_t x1_3 = (x_3 >> 64);
uint64_t x1_4 = (x_4 >> 64);
uint64_t a_1, a_2, a_3, a_4;
uint64_t e_1 = __builtin_add_overflow(x0_1, (x0_1 << 32), &a_1);
uint64_t e_2 = __builtin_add_overflow(x0_2, (x0_2 << 32), &a_2);
uint64_t e_3 = __builtin_add_overflow(x0_3, (x0_3 << 32), &a_3);
uint64_t e_4 = __builtin_add_overflow(x0_4, (x0_4 << 32), &a_4);
svuint64_t ls1 = svlsl_x(pg, l1, 32);
svuint64_t ls2 = svlsl_x(pg, l2, 32);
svuint64_t a1 = svadd_x(pg, l1, ls1);
svuint64_t a2 = svadd_x(pg, l2, ls2);
svbool_t e1 = svcmplt(pg, a1, l1);
svbool_t e2 = svcmplt(pg, a2, l2);
svuint64_t as1 = svlsr_x(pg, a1, 32);
svuint64_t as2 = svlsr_x(pg, a2, 32);
svuint64_t b1 = svsub_x(pg, a1, as1);
svuint64_t b2 = svsub_x(pg, a2, as2);
b1 = svsub_m(e1, b1, 1);
b2 = svsub_m(e2, b2, 1);
uint64_t b_1 = a_1 - (a_1 >> 32) - e_1;
uint64_t b_2 = a_2 - (a_2 >> 32) - e_2;
uint64_t b_3 = a_3 - (a_3 >> 32) - e_3;
uint64_t b_4 = a_4 - (a_4 >> 32) - e_4;
uint64_t r_1, r_2, r_3, r_4;
uint32_t c_1 = __builtin_sub_overflow(x1_1, b_1, &r_1);
uint32_t c_2 = __builtin_sub_overflow(x1_2, b_2, &r_2);
uint32_t c_3 = __builtin_sub_overflow(x1_3, b_3, &r_3);
uint32_t c_4 = __builtin_sub_overflow(x1_4, b_4, &r_4);
svuint64_t h1 = svmulh_x(pg, *r1, *op1);
svuint64_t h2 = svmulh_x(pg, *r2, *op2);
svuint64_t tr1 = svsub_x(pg, h1, b1);
svuint64_t tr2 = svsub_x(pg, h2, b2);
svbool_t c1 = svcmplt_u64(pg, h1, b1);
svbool_t c2 = svcmplt_u64(pg, h2, b2);
*r1 = svsub_m(c1, tr1, (uint32_t) -1);
*r2 = svsub_m(c2, tr2, (uint32_t) -1);
uint32_t minus1_1 = 0 - c_1;
uint32_t minus1_2 = 0 - c_2;
uint32_t minus1_3 = 0 - c_3;
uint32_t minus1_4 = 0 - c_4;
r3[0] = r_1 - (uint64_t)minus1_1;
r3[1] = r_2 - (uint64_t)minus1_2;
r3[2] = r_3 - (uint64_t)minus1_3;
r3[3] = r_4 - (uint64_t)minus1_4;
}
extern inline void sq(svbool_t pg, svuint64_t *a, svuint64_t *b, uint64_t *c) {
mul(pg, a, a, b, b, c, c);
}
extern inline void apply_sbox(
svbool_t pg,
svuint64_t *state1,
svuint64_t *state2,
uint64_t *state3
) {
COPY(x, *state1, *state2, state3); // copy input to x
SQUARE(pg, x); // x contains input^2
mul(pg, state1, &x_1, state2, &x_2, state3, x_3); // state contains input^3
SQUARE(pg, x); // x contains input^4
mul(pg, state1, &x_1, state2, &x_2, state3, x_3); // state contains input^7
}
extern inline void apply_inv_sbox(
svbool_t pg,
svuint64_t *state_1,
svuint64_t *state_2,
uint64_t *state_3
) {
// base^10
COPY(t1, *state_1, *state_2, state_3);
SQUARE(pg, t1);
// base^100
SQUARE_DEST(pg, t2, t1);
// base^100100
POW_ACC_DEST(pg, t3, 3, t2, t2);
// base^100100100100
POW_ACC_DEST(pg, t4, 6, t3, t3);
// compute base^100100100100100100100100
POW_ACC_DEST(pg, t5, 12, t4, t4);
// compute base^100100100100100100100100100100
POW_ACC_DEST(pg, t6, 6, t5, t3);
// compute base^1001001001001001001001001001000100100100100100100100100100100
POW_ACC_DEST(pg, t7, 31, t6, t6);
// compute base^1001001001001001001001001001000110110110110110110110110110110111
SQUARE(pg, t7);
MULTIPLY(pg, t7, t6);
SQUARE(pg, t7);
SQUARE(pg, t7);
MULTIPLY(pg, t7, t1);
MULTIPLY(pg, t7, t2);
mul(pg, state_1, &t7_1, state_2, &t7_2, state_3, t7_3);
}
#endif //RPO_SVE_RPO_HASH_H

View File

@@ -6,6 +6,7 @@ In the Miden VM, we make use of different hash functions. Some of these are "tra
* **Poseidon** as specified [here](https://eprint.iacr.org/2019/458.pdf) and implemented [here](https://github.com/mir-protocol/plonky2/blob/806b88d7d6e69a30dc0b4775f7ba275c45e8b63b/plonky2/src/hash/poseidon_goldilocks.rs) (but in pure Rust, without vectorized instructions). * **Poseidon** as specified [here](https://eprint.iacr.org/2019/458.pdf) and implemented [here](https://github.com/mir-protocol/plonky2/blob/806b88d7d6e69a30dc0b4775f7ba275c45e8b63b/plonky2/src/hash/poseidon_goldilocks.rs) (but in pure Rust, without vectorized instructions).
* **Rescue Prime (RP)** as specified [here](https://eprint.iacr.org/2020/1143) and implemented [here](https://github.com/novifinancial/winterfell/blob/46dce1adf0/crypto/src/hash/rescue/rp64_256/mod.rs). * **Rescue Prime (RP)** as specified [here](https://eprint.iacr.org/2020/1143) and implemented [here](https://github.com/novifinancial/winterfell/blob/46dce1adf0/crypto/src/hash/rescue/rp64_256/mod.rs).
* **Rescue Prime Optimized (RPO)** as specified [here](https://eprint.iacr.org/2022/1577) and implemented in this crate. * **Rescue Prime Optimized (RPO)** as specified [here](https://eprint.iacr.org/2022/1577) and implemented in this crate.
* **Rescue Prime Extended (RPX)** a variant of the [xHash](https://eprint.iacr.org/2023/1045) hash function as implemented in this crate.
## Comparison and Instructions ## Comparison and Instructions
@@ -15,25 +16,28 @@ The second scenario is that of sequential hashing where we take a sequence of le
#### Scenario 1: 2-to-1 hashing `h(a,b)` #### Scenario 1: 2-to-1 hashing `h(a,b)`
| Function | BLAKE3 | SHA3 | Poseidon | Rp64_256 | RPO_256 | | Function | BLAKE3 | SHA3 | Poseidon | Rp64_256 | RPO_256 | RPX_256 |
| ------------------- | ------ | --------| --------- | --------- | ------- | | ------------------- | ------ | ------- | --------- | --------- | ------- | ------- |
| Apple M1 Pro | 80 ns | 245 ns | 1.5 us | 9.1 us | 5.4 us | | Apple M1 Pro | 76 ns | 245 ns | 1.5 µs | 9.1 µs | 5.2 µs | 2.7 µs |
| Apple M2 | 76 ns | 233 ns | 1.3 us | 7.9 us | 5.0 us | | Apple M2 Max | 71 ns | 233 ns | 1.3 µs | 7.9 µs | 4.6 µs | 2.4 µs |
| Amazon Graviton 3 | 116 ns | | | | 8.8 us | | Amazon Graviton 3 | 108 ns | | | | 5.3 µs | 3.1 µs |
| AMD Ryzen 9 5950X | 64 ns | 273 ns | 1.2 us | 9.1 us | 5.5 us | | AMD Ryzen 9 5950X | 64 ns | 273 ns | 1.2 µs | 9.1 µs | 5.5 µs | |
| Intel Core i5-8279U | 80 ns | | | | 8.7 us | | Intel Core i5-8279U | 68 ns | 536 ns | 2.0 µs | 13.6 µs | 8.5 µs | 4.4 µs |
| Intel Xeon 8375C | 67 ns | | | | 8.2 us | | Intel Xeon 8375C | 67 ns | | | | 8.2 µs | |
#### Scenario 2: Sequential hashing of 100 elements `h([a_0,...,a_99])` #### Scenario 2: Sequential hashing of 100 elements `h([a_0,...,a_99])`
| Function | BLAKE3 | SHA3 | Poseidon | Rp64_256 | RPO_256 | | Function | BLAKE3 | SHA3 | Poseidon | Rp64_256 | RPO_256 | RPX_256 |
| ------------------- | -------| ------- | --------- | --------- | ------- | | ------------------- | -------| ------- | --------- | --------- | ------- | ------- |
| Apple M1 Pro | 1.0 us | 1.5 us | 19.4 us | 118 us | 70 us | | Apple M1 Pro | 1.0 µs | 1.5 µs | 19.4 µs | 118 µs | 69 µs | 35 µs |
| Apple M2 | 1.0 us | 1.5 us | 17.4 us | 103 us | 65 us | | Apple M2 Max | 0.9 µs | 1.5 µs | 17.4 µs | 103 µs | 60 µs | 31 µs |
| Amazon Graviton 3 | 1.4 us | | | | 114 us | | Amazon Graviton 3 | 1.4 µs | | | | 69 µs | 41 µs |
| AMD Ryzen 9 5950X | 0.8 us | 1.7 us | 15.7 us | 120 us | 72 us | | AMD Ryzen 9 5950X | 0.8 µs | 1.7 µs | 15.7 µs | 120 µs | 72 µs | |
| Intel Core i5-8279U | 1.0 us | | | | 116 us | | Intel Core i5-8279U | 0.9 µs | | | | 107 µs | 56 µs |
| Intel Xeon 8375C | 0.8 ns | | | | 110 us | | Intel Xeon 8375C | 0.8 µs | | | | 110 µs | |
Notes:
- On Graviton 3, RPO256 and RPX256 are run with SVE acceleration enabled.
### Instructions ### Instructions
Before you can run the benchmarks, you'll need to make sure you have Rust [installed](https://www.rust-lang.org/tools/install). After that, to run the benchmarks for RPO and BLAKE3, clone the current repository, and from the root directory of the repo run the following: Before you can run the benchmarks, you'll need to make sure you have Rust [installed](https://www.rust-lang.org/tools/install). After that, to run the benchmarks for RPO and BLAKE3, clone the current repository, and from the root directory of the repo run the following:

View File

@@ -3,6 +3,7 @@ use miden_crypto::{
hash::{ hash::{
blake::Blake3_256, blake::Blake3_256,
rpo::{Rpo256, RpoDigest}, rpo::{Rpo256, RpoDigest},
rpx::{Rpx256, RpxDigest},
}, },
Felt, Felt,
}; };
@@ -57,6 +58,54 @@ fn rpo256_sequential(c: &mut Criterion) {
}); });
} }
fn rpx256_2to1(c: &mut Criterion) {
let v: [RpxDigest; 2] = [Rpx256::hash(&[1_u8]), Rpx256::hash(&[2_u8])];
c.bench_function("RPX256 2-to-1 hashing (cached)", |bench| {
bench.iter(|| Rpx256::merge(black_box(&v)))
});
c.bench_function("RPX256 2-to-1 hashing (random)", |bench| {
bench.iter_batched(
|| {
[
Rpx256::hash(&rand_value::<u64>().to_le_bytes()),
Rpx256::hash(&rand_value::<u64>().to_le_bytes()),
]
},
|state| Rpx256::merge(&state),
BatchSize::SmallInput,
)
});
}
fn rpx256_sequential(c: &mut Criterion) {
let v: [Felt; 100] = (0..100)
.into_iter()
.map(Felt::new)
.collect::<Vec<Felt>>()
.try_into()
.expect("should not fail");
c.bench_function("RPX256 sequential hashing (cached)", |bench| {
bench.iter(|| Rpx256::hash_elements(black_box(&v)))
});
c.bench_function("RPX256 sequential hashing (random)", |bench| {
bench.iter_batched(
|| {
let v: [Felt; 100] = (0..100)
.into_iter()
.map(|_| Felt::new(rand_value()))
.collect::<Vec<Felt>>()
.try_into()
.expect("should not fail");
v
},
|state| Rpx256::hash_elements(&state),
BatchSize::SmallInput,
)
});
}
fn blake3_2to1(c: &mut Criterion) { fn blake3_2to1(c: &mut Criterion) {
let v: [<Blake3_256 as Hasher>::Digest; 2] = let v: [<Blake3_256 as Hasher>::Digest; 2] =
[Blake3_256::hash(&[1_u8]), Blake3_256::hash(&[2_u8])]; [Blake3_256::hash(&[1_u8]), Blake3_256::hash(&[2_u8])];
@@ -106,5 +155,13 @@ fn blake3_sequential(c: &mut Criterion) {
}); });
} }
criterion_group!(hash_group, rpo256_2to1, rpo256_sequential, blake3_2to1, blake3_sequential); criterion_group!(
hash_group,
rpx256_2to1,
rpx256_sequential,
rpo256_2to1,
rpo256_sequential,
blake3_2to1,
blake3_sequential
);
criterion_main!(hash_group); criterion_main!(hash_group);

50
build.rs Normal file
View File

@@ -0,0 +1,50 @@
fn main() {
#[cfg(feature = "std")]
compile_rpo_falcon();
#[cfg(all(target_feature = "sve", feature = "sve"))]
compile_arch_arm64_sve();
}
#[cfg(feature = "std")]
fn compile_rpo_falcon() {
use std::path::PathBuf;
const RPO_FALCON_PATH: &str = "src/dsa/rpo_falcon512/falcon_c";
println!("cargo:rerun-if-changed={RPO_FALCON_PATH}/falcon.h");
println!("cargo:rerun-if-changed={RPO_FALCON_PATH}/falcon.c");
println!("cargo:rerun-if-changed={RPO_FALCON_PATH}/rpo.h");
println!("cargo:rerun-if-changed={RPO_FALCON_PATH}/rpo.c");
let target_dir: PathBuf = ["PQClean", "crypto_sign", "falcon-512", "clean"].iter().collect();
let common_dir: PathBuf = ["PQClean", "common"].iter().collect();
let scheme_files = glob::glob(target_dir.join("*.c").to_str().unwrap()).unwrap();
let common_files = glob::glob(common_dir.join("*.c").to_str().unwrap()).unwrap();
cc::Build::new()
.include(&common_dir)
.include(target_dir)
.files(scheme_files.into_iter().map(|p| p.unwrap().to_string_lossy().into_owned()))
.files(common_files.into_iter().map(|p| p.unwrap().to_string_lossy().into_owned()))
.file(format!("{RPO_FALCON_PATH}/falcon.c"))
.file(format!("{RPO_FALCON_PATH}/rpo.c"))
.flag("-O3")
.compile("rpo_falcon512");
}
#[cfg(all(target_feature = "sve", feature = "sve"))]
fn compile_arch_arm64_sve() {
const RPO_SVE_PATH: &str = "arch/arm64-sve/rpo";
println!("cargo:rerun-if-changed={RPO_SVE_PATH}/library.c");
println!("cargo:rerun-if-changed={RPO_SVE_PATH}/library.h");
println!("cargo:rerun-if-changed={RPO_SVE_PATH}/rpo_hash.h");
cc::Build::new()
.file(format!("{RPO_SVE_PATH}/library.c"))
.flag("-march=armv8-a+sve")
.flag("-O3")
.compile("rpo_sve");
}

View File

@@ -16,5 +16,6 @@ newline_style = "Unix"
#normalize_doc_attributes = true #normalize_doc_attributes = true
#reorder_impl_items = true #reorder_impl_items = true
single_line_if_else_max_width = 60 single_line_if_else_max_width = 60
struct_lit_width = 40
use_field_init_shorthand = true use_field_init_shorthand = true
use_try_shorthand = true use_try_shorthand = true

3
src/dsa/mod.rs Normal file
View File

@@ -0,0 +1,3 @@
//! Digital signature schemes supported by default in the Miden VM.
pub mod rpo_falcon512;

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@@ -0,0 +1,55 @@
use super::{LOG_N, MODULUS, PK_LEN};
use core::fmt;
#[derive(Clone, Debug, PartialEq, Eq)]
pub enum FalconError {
KeyGenerationFailed,
PubKeyDecodingExtraData,
PubKeyDecodingInvalidCoefficient(u32),
PubKeyDecodingInvalidLength(usize),
PubKeyDecodingInvalidTag(u8),
SigDecodingTooBigHighBits(u32),
SigDecodingInvalidRemainder,
SigDecodingNonZeroUnusedBitsLastByte,
SigDecodingMinusZero,
SigDecodingIncorrectEncodingAlgorithm,
SigDecodingNotSupportedDegree(u8),
SigGenerationFailed,
}
impl fmt::Display for FalconError {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
use FalconError::*;
match self {
KeyGenerationFailed => write!(f, "Failed to generate a private-public key pair"),
PubKeyDecodingExtraData => {
write!(f, "Failed to decode public key: input not fully consumed")
}
PubKeyDecodingInvalidCoefficient(val) => {
write!(f, "Failed to decode public key: coefficient {val} is greater than or equal to the field modulus {MODULUS}")
}
PubKeyDecodingInvalidLength(len) => {
write!(f, "Failed to decode public key: expected {PK_LEN} bytes but received {len}")
}
PubKeyDecodingInvalidTag(byte) => {
write!(f, "Failed to decode public key: expected the first byte to be {LOG_N} but was {byte}")
}
SigDecodingTooBigHighBits(m) => {
write!(f, "Failed to decode signature: high bits {m} exceed 2048")
}
SigDecodingInvalidRemainder => {
write!(f, "Failed to decode signature: incorrect remaining data")
}
SigDecodingNonZeroUnusedBitsLastByte => {
write!(f, "Failed to decode signature: Non-zero unused bits in the last byte")
}
SigDecodingMinusZero => write!(f, "Failed to decode signature: -0 is forbidden"),
SigDecodingIncorrectEncodingAlgorithm => write!(f, "Failed to decode signature: not supported encoding algorithm"),
SigDecodingNotSupportedDegree(log_n) => write!(f, "Failed to decode signature: only supported irreducible polynomial degree is 512, 2^{log_n} was provided"),
SigGenerationFailed => write!(f, "Failed to generate a signature"),
}
}
}
#[cfg(feature = "std")]
impl std::error::Error for FalconError {}

View File

@@ -0,0 +1,402 @@
/*
* Wrapper for implementing the PQClean API.
*/
#include <string.h>
#include "randombytes.h"
#include "falcon.h"
#include "inner.h"
#include "rpo.h"
#define NONCELEN 40
/*
* Encoding formats (nnnn = log of degree, 9 for Falcon-512, 10 for Falcon-1024)
*
* private key:
* header byte: 0101nnnn
* private f (6 or 5 bits by element, depending on degree)
* private g (6 or 5 bits by element, depending on degree)
* private F (8 bits by element)
*
* public key:
* header byte: 0000nnnn
* public h (14 bits by element)
*
* signature:
* header byte: 0011nnnn
* nonce 40 bytes
* value (12 bits by element)
*
* message + signature:
* signature length (2 bytes, big-endian)
* nonce 40 bytes
* message
* header byte: 0010nnnn
* value (12 bits by element)
* (signature length is 1+len(value), not counting the nonce)
*/
/* see falcon.h */
int PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_from_seed_rpo(
uint8_t *pk,
uint8_t *sk,
unsigned char *seed
) {
union
{
uint8_t b[FALCON_KEYGEN_TEMP_9];
uint64_t dummy_u64;
fpr dummy_fpr;
} tmp;
int8_t f[512], g[512], F[512];
uint16_t h[512];
inner_shake256_context rng;
size_t u, v;
/*
* Generate key pair.
*/
inner_shake256_init(&rng);
inner_shake256_inject(&rng, seed, sizeof seed);
inner_shake256_flip(&rng);
PQCLEAN_FALCON512_CLEAN_keygen(&rng, f, g, F, NULL, h, 9, tmp.b);
inner_shake256_ctx_release(&rng);
/*
* Encode private key.
*/
sk[0] = 0x50 + 9;
u = 1;
v = PQCLEAN_FALCON512_CLEAN_trim_i8_encode(
sk + u, PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES - u,
f, 9, PQCLEAN_FALCON512_CLEAN_max_fg_bits[9]);
if (v == 0)
{
return -1;
}
u += v;
v = PQCLEAN_FALCON512_CLEAN_trim_i8_encode(
sk + u, PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES - u,
g, 9, PQCLEAN_FALCON512_CLEAN_max_fg_bits[9]);
if (v == 0)
{
return -1;
}
u += v;
v = PQCLEAN_FALCON512_CLEAN_trim_i8_encode(
sk + u, PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES - u,
F, 9, PQCLEAN_FALCON512_CLEAN_max_FG_bits[9]);
if (v == 0)
{
return -1;
}
u += v;
if (u != PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES)
{
return -1;
}
/*
* Encode public key.
*/
pk[0] = 0x00 + 9;
v = PQCLEAN_FALCON512_CLEAN_modq_encode(
pk + 1, PQCLEAN_FALCON512_CLEAN_CRYPTO_PUBLICKEYBYTES - 1,
h, 9);
if (v != PQCLEAN_FALCON512_CLEAN_CRYPTO_PUBLICKEYBYTES - 1)
{
return -1;
}
return 0;
}
int PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_rpo(
uint8_t *pk,
uint8_t *sk
) {
unsigned char seed[48];
/*
* Generate a random seed.
*/
randombytes(seed, sizeof seed);
return PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_from_seed_rpo(pk, sk, seed);
}
/*
* Compute the signature. nonce[] receives the nonce and must have length
* NONCELEN bytes. sigbuf[] receives the signature value (without nonce
* or header byte), with *sigbuflen providing the maximum value length and
* receiving the actual value length.
*
* If a signature could be computed but not encoded because it would
* exceed the output buffer size, then a new signature is computed. If
* the provided buffer size is too low, this could loop indefinitely, so
* the caller must provide a size that can accommodate signatures with a
* large enough probability.
*
* Return value: 0 on success, -1 on error.
*/
static int do_sign(
uint8_t *nonce,
uint8_t *sigbuf,
size_t *sigbuflen,
const uint8_t *m,
size_t mlen,
const uint8_t *sk
) {
union
{
uint8_t b[72 * 512];
uint64_t dummy_u64;
fpr dummy_fpr;
} tmp;
int8_t f[512], g[512], F[512], G[512];
struct
{
int16_t sig[512];
uint16_t hm[512];
} r;
unsigned char seed[48];
inner_shake256_context sc;
rpo128_context rc;
size_t u, v;
/*
* Decode the private key.
*/
if (sk[0] != 0x50 + 9)
{
return -1;
}
u = 1;
v = PQCLEAN_FALCON512_CLEAN_trim_i8_decode(
f, 9, PQCLEAN_FALCON512_CLEAN_max_fg_bits[9],
sk + u, PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES - u);
if (v == 0)
{
return -1;
}
u += v;
v = PQCLEAN_FALCON512_CLEAN_trim_i8_decode(
g, 9, PQCLEAN_FALCON512_CLEAN_max_fg_bits[9],
sk + u, PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES - u);
if (v == 0)
{
return -1;
}
u += v;
v = PQCLEAN_FALCON512_CLEAN_trim_i8_decode(
F, 9, PQCLEAN_FALCON512_CLEAN_max_FG_bits[9],
sk + u, PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES - u);
if (v == 0)
{
return -1;
}
u += v;
if (u != PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES)
{
return -1;
}
if (!PQCLEAN_FALCON512_CLEAN_complete_private(G, f, g, F, 9, tmp.b))
{
return -1;
}
/*
* Create a random nonce (40 bytes).
*/
randombytes(nonce, NONCELEN);
/* ==== Start: Deviation from the reference implementation ================================= */
// Transform the nonce into 8 chunks each of size 5 bytes. We do this in order to be sure that
// the conversion to field elements succeeds
uint8_t buffer[64];
memset(buffer, 0, 64);
for (size_t i = 0; i < 8; i++)
{
buffer[8 * i] = nonce[5 * i];
buffer[8 * i + 1] = nonce[5 * i + 1];
buffer[8 * i + 2] = nonce[5 * i + 2];
buffer[8 * i + 3] = nonce[5 * i + 3];
buffer[8 * i + 4] = nonce[5 * i + 4];
}
/*
* Hash message nonce + message into a vector.
*/
rpo128_init(&rc);
rpo128_absorb(&rc, buffer, NONCELEN + 24);
rpo128_absorb(&rc, m, mlen);
rpo128_finalize(&rc);
PQCLEAN_FALCON512_CLEAN_hash_to_point_rpo(&rc, r.hm, 9);
rpo128_release(&rc);
/* ==== End: Deviation from the reference implementation =================================== */
/*
* Initialize a RNG.
*/
randombytes(seed, sizeof seed);
inner_shake256_init(&sc);
inner_shake256_inject(&sc, seed, sizeof seed);
inner_shake256_flip(&sc);
/*
* Compute and return the signature. This loops until a signature
* value is found that fits in the provided buffer.
*/
for (;;)
{
PQCLEAN_FALCON512_CLEAN_sign_dyn(r.sig, &sc, f, g, F, G, r.hm, 9, tmp.b);
v = PQCLEAN_FALCON512_CLEAN_comp_encode(sigbuf, *sigbuflen, r.sig, 9);
if (v != 0)
{
inner_shake256_ctx_release(&sc);
*sigbuflen = v;
return 0;
}
}
}
/*
* Verify a signature. The nonce has size NONCELEN bytes. sigbuf[]
* (of size sigbuflen) contains the signature value, not including the
* header byte or nonce. Return value is 0 on success, -1 on error.
*/
static int do_verify(
const uint8_t *nonce,
const uint8_t *sigbuf,
size_t sigbuflen,
const uint8_t *m,
size_t mlen,
const uint8_t *pk
) {
union
{
uint8_t b[2 * 512];
uint64_t dummy_u64;
fpr dummy_fpr;
} tmp;
uint16_t h[512], hm[512];
int16_t sig[512];
rpo128_context rc;
/*
* Decode public key.
*/
if (pk[0] != 0x00 + 9)
{
return -1;
}
if (PQCLEAN_FALCON512_CLEAN_modq_decode(h, 9,
pk + 1, PQCLEAN_FALCON512_CLEAN_CRYPTO_PUBLICKEYBYTES - 1)
!= PQCLEAN_FALCON512_CLEAN_CRYPTO_PUBLICKEYBYTES - 1)
{
return -1;
}
PQCLEAN_FALCON512_CLEAN_to_ntt_monty(h, 9);
/*
* Decode signature.
*/
if (sigbuflen == 0)
{
return -1;
}
if (PQCLEAN_FALCON512_CLEAN_comp_decode(sig, 9, sigbuf, sigbuflen) != sigbuflen)
{
return -1;
}
/* ==== Start: Deviation from the reference implementation ================================= */
/*
* Hash nonce + message into a vector.
*/
// Transform the nonce into 8 chunks each of size 5 bytes. We do this in order to be sure that
// the conversion to field elements succeeds
uint8_t buffer[64];
memset(buffer, 0, 64);
for (size_t i = 0; i < 8; i++)
{
buffer[8 * i] = nonce[5 * i];
buffer[8 * i + 1] = nonce[5 * i + 1];
buffer[8 * i + 2] = nonce[5 * i + 2];
buffer[8 * i + 3] = nonce[5 * i + 3];
buffer[8 * i + 4] = nonce[5 * i + 4];
}
rpo128_init(&rc);
rpo128_absorb(&rc, buffer, NONCELEN + 24);
rpo128_absorb(&rc, m, mlen);
rpo128_finalize(&rc);
PQCLEAN_FALCON512_CLEAN_hash_to_point_rpo(&rc, hm, 9);
rpo128_release(&rc);
/* === End: Deviation from the reference implementation ==================================== */
/*
* Verify signature.
*/
if (!PQCLEAN_FALCON512_CLEAN_verify_raw(hm, sig, h, 9, tmp.b))
{
return -1;
}
return 0;
}
/* see falcon.h */
int PQCLEAN_FALCON512_CLEAN_crypto_sign_signature_rpo(
uint8_t *sig,
size_t *siglen,
const uint8_t *m,
size_t mlen,
const uint8_t *sk
) {
/*
* The PQCLEAN_FALCON512_CLEAN_CRYPTO_BYTES constant is used for
* the signed message object (as produced by crypto_sign())
* and includes a two-byte length value, so we take care here
* to only generate signatures that are two bytes shorter than
* the maximum. This is done to ensure that crypto_sign()
* and crypto_sign_signature() produce the exact same signature
* value, if used on the same message, with the same private key,
* and using the same output from randombytes() (this is for
* reproducibility of tests).
*/
size_t vlen;
vlen = PQCLEAN_FALCON512_CLEAN_CRYPTO_BYTES - NONCELEN - 3;
if (do_sign(sig + 1, sig + 1 + NONCELEN, &vlen, m, mlen, sk) < 0)
{
return -1;
}
sig[0] = 0x30 + 9;
*siglen = 1 + NONCELEN + vlen;
return 0;
}
/* see falcon.h */
int PQCLEAN_FALCON512_CLEAN_crypto_sign_verify_rpo(
const uint8_t *sig,
size_t siglen,
const uint8_t *m,
size_t mlen,
const uint8_t *pk
) {
if (siglen < 1 + NONCELEN)
{
return -1;
}
if (sig[0] != 0x30 + 9)
{
return -1;
}
return do_verify(sig + 1, sig + 1 + NONCELEN, siglen - 1 - NONCELEN, m, mlen, pk);
}

View File

@@ -0,0 +1,66 @@
#include <stddef.h>
#include <stdint.h>
#define PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES 1281
#define PQCLEAN_FALCON512_CLEAN_CRYPTO_PUBLICKEYBYTES 897
#define PQCLEAN_FALCON512_CLEAN_CRYPTO_BYTES 666
/*
* Generate a new key pair. Public key goes into pk[], private key in sk[].
* Key sizes are exact (in bytes):
* public (pk): PQCLEAN_FALCON512_CLEAN_CRYPTO_PUBLICKEYBYTES
* private (sk): PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES
*
* Return value: 0 on success, -1 on error.
*
* Note: This implementation follows the reference implementation in PQClean
* https://github.com/PQClean/PQClean/tree/master/crypto_sign/falcon-512
* verbatim except for the sections that are marked otherwise.
*/
int PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_rpo(
uint8_t *pk, uint8_t *sk);
/*
* Generate a new key pair from seed. Public key goes into pk[], private key in sk[].
* Key sizes are exact (in bytes):
* public (pk): PQCLEAN_FALCON512_CLEAN_CRYPTO_PUBLICKEYBYTES
* private (sk): PQCLEAN_FALCON512_CLEAN_CRYPTO_SECRETKEYBYTES
*
* Return value: 0 on success, -1 on error.
*/
int PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_from_seed_rpo(
uint8_t *pk, uint8_t *sk, unsigned char *seed);
/*
* Compute a signature on a provided message (m, mlen), with a given
* private key (sk). Signature is written in sig[], with length written
* into *siglen. Signature length is variable; maximum signature length
* (in bytes) is PQCLEAN_FALCON512_CLEAN_CRYPTO_BYTES.
*
* sig[], m[] and sk[] may overlap each other arbitrarily.
*
* Return value: 0 on success, -1 on error.
*
* Note: This implementation follows the reference implementation in PQClean
* https://github.com/PQClean/PQClean/tree/master/crypto_sign/falcon-512
* verbatim except for the sections that are marked otherwise.
*/
int PQCLEAN_FALCON512_CLEAN_crypto_sign_signature_rpo(
uint8_t *sig, size_t *siglen,
const uint8_t *m, size_t mlen, const uint8_t *sk);
/*
* Verify a signature (sig, siglen) on a message (m, mlen) with a given
* public key (pk).
*
* sig[], m[] and pk[] may overlap each other arbitrarily.
*
* Return value: 0 on success, -1 on error.
*
* Note: This implementation follows the reference implementation in PQClean
* https://github.com/PQClean/PQClean/tree/master/crypto_sign/falcon-512
* verbatim except for the sections that are marked otherwise.
*/
int PQCLEAN_FALCON512_CLEAN_crypto_sign_verify_rpo(
const uint8_t *sig, size_t siglen,
const uint8_t *m, size_t mlen, const uint8_t *pk);

View File

@@ -0,0 +1,582 @@
/*
* RPO implementation.
*/
#include <stdint.h>
#include <string.h>
#include <stdlib.h>
/* ================================================================================================
* Modular Arithmetic
*/
#define P 0xFFFFFFFF00000001
#define M 12289
// From https://github.com/ncw/iprime/blob/master/mod_math_noasm.go
static uint64_t add_mod_p(uint64_t a, uint64_t b)
{
a = P - a;
uint64_t res = b - a;
if (b < a)
res += P;
return res;
}
static uint64_t sub_mod_p(uint64_t a, uint64_t b)
{
uint64_t r = a - b;
if (a < b)
r += P;
return r;
}
static uint64_t reduce_mod_p(uint64_t b, uint64_t a)
{
uint32_t d = b >> 32,
c = b;
if (a >= P)
a -= P;
a = sub_mod_p(a, c);
a = sub_mod_p(a, d);
a = add_mod_p(a, ((uint64_t)c) << 32);
return a;
}
static uint64_t mult_mod_p(uint64_t x, uint64_t y)
{
uint32_t a = x,
b = x >> 32,
c = y,
d = y >> 32;
/* first synthesize the product using 32*32 -> 64 bit multiplies */
x = b * (uint64_t)c; /* b*c */
y = a * (uint64_t)d; /* a*d */
uint64_t e = a * (uint64_t)c, /* a*c */
f = b * (uint64_t)d, /* b*d */
t;
x += y; /* b*c + a*d */
/* carry? */
if (x < y)
f += 1LL << 32; /* carry into upper 32 bits - can't overflow */
t = x << 32;
e += t; /* a*c + LSW(b*c + a*d) */
/* carry? */
if (e < t)
f += 1; /* carry into upper 64 bits - can't overflow*/
t = x >> 32;
f += t; /* b*d + MSW(b*c + a*d) */
/* can't overflow */
/* now reduce: (b*d + MSW(b*c + a*d), a*c + LSW(b*c + a*d)) */
return reduce_mod_p(f, e);
}
/* ================================================================================================
* RPO128 Permutation
*/
#define STATE_WIDTH 12
#define NUM_ROUNDS 7
/*
* MDS matrix
*/
static const uint64_t MDS[12][12] = {
{ 7, 23, 8, 26, 13, 10, 9, 7, 6, 22, 21, 8 },
{ 8, 7, 23, 8, 26, 13, 10, 9, 7, 6, 22, 21 },
{ 21, 8, 7, 23, 8, 26, 13, 10, 9, 7, 6, 22 },
{ 22, 21, 8, 7, 23, 8, 26, 13, 10, 9, 7, 6 },
{ 6, 22, 21, 8, 7, 23, 8, 26, 13, 10, 9, 7 },
{ 7, 6, 22, 21, 8, 7, 23, 8, 26, 13, 10, 9 },
{ 9, 7, 6, 22, 21, 8, 7, 23, 8, 26, 13, 10 },
{ 10, 9, 7, 6, 22, 21, 8, 7, 23, 8, 26, 13 },
{ 13, 10, 9, 7, 6, 22, 21, 8, 7, 23, 8, 26 },
{ 26, 13, 10, 9, 7, 6, 22, 21, 8, 7, 23, 8 },
{ 8, 26, 13, 10, 9, 7, 6, 22, 21, 8, 7, 23 },
{ 23, 8, 26, 13, 10, 9, 7, 6, 22, 21, 8, 7 },
};
/*
* Round constants.
*/
static const uint64_t ARK1[7][12] = {
{
5789762306288267392ULL,
6522564764413701783ULL,
17809893479458208203ULL,
107145243989736508ULL,
6388978042437517382ULL,
15844067734406016715ULL,
9975000513555218239ULL,
3344984123768313364ULL,
9959189626657347191ULL,
12960773468763563665ULL,
9602914297752488475ULL,
16657542370200465908ULL,
},
{
12987190162843096997ULL,
653957632802705281ULL,
4441654670647621225ULL,
4038207883745915761ULL,
5613464648874830118ULL,
13222989726778338773ULL,
3037761201230264149ULL,
16683759727265180203ULL,
8337364536491240715ULL,
3227397518293416448ULL,
8110510111539674682ULL,
2872078294163232137ULL,
},
{
18072785500942327487ULL,
6200974112677013481ULL,
17682092219085884187ULL,
10599526828986756440ULL,
975003873302957338ULL,
8264241093196931281ULL,
10065763900435475170ULL,
2181131744534710197ULL,
6317303992309418647ULL,
1401440938888741532ULL,
8884468225181997494ULL,
13066900325715521532ULL,
},
{
5674685213610121970ULL,
5759084860419474071ULL,
13943282657648897737ULL,
1352748651966375394ULL,
17110913224029905221ULL,
1003883795902368422ULL,
4141870621881018291ULL,
8121410972417424656ULL,
14300518605864919529ULL,
13712227150607670181ULL,
17021852944633065291ULL,
6252096473787587650ULL,
},
{
4887609836208846458ULL,
3027115137917284492ULL,
9595098600469470675ULL,
10528569829048484079ULL,
7864689113198939815ULL,
17533723827845969040ULL,
5781638039037710951ULL,
17024078752430719006ULL,
109659393484013511ULL,
7158933660534805869ULL,
2955076958026921730ULL,
7433723648458773977ULL,
},
{
16308865189192447297ULL,
11977192855656444890ULL,
12532242556065780287ULL,
14594890931430968898ULL,
7291784239689209784ULL,
5514718540551361949ULL,
10025733853830934803ULL,
7293794580341021693ULL,
6728552937464861756ULL,
6332385040983343262ULL,
13277683694236792804ULL,
2600778905124452676ULL,
},
{
7123075680859040534ULL,
1034205548717903090ULL,
7717824418247931797ULL,
3019070937878604058ULL,
11403792746066867460ULL,
10280580802233112374ULL,
337153209462421218ULL,
13333398568519923717ULL,
3596153696935337464ULL,
8104208463525993784ULL,
14345062289456085693ULL,
17036731477169661256ULL,
}};
const uint64_t ARK2[7][12] = {
{
6077062762357204287ULL,
15277620170502011191ULL,
5358738125714196705ULL,
14233283787297595718ULL,
13792579614346651365ULL,
11614812331536767105ULL,
14871063686742261166ULL,
10148237148793043499ULL,
4457428952329675767ULL,
15590786458219172475ULL,
10063319113072092615ULL,
14200078843431360086ULL,
},
{
6202948458916099932ULL,
17690140365333231091ULL,
3595001575307484651ULL,
373995945117666487ULL,
1235734395091296013ULL,
14172757457833931602ULL,
707573103686350224ULL,
15453217512188187135ULL,
219777875004506018ULL,
17876696346199469008ULL,
17731621626449383378ULL,
2897136237748376248ULL,
},
{
8023374565629191455ULL,
15013690343205953430ULL,
4485500052507912973ULL,
12489737547229155153ULL,
9500452585969030576ULL,
2054001340201038870ULL,
12420704059284934186ULL,
355990932618543755ULL,
9071225051243523860ULL,
12766199826003448536ULL,
9045979173463556963ULL,
12934431667190679898ULL,
},
{
18389244934624494276ULL,
16731736864863925227ULL,
4440209734760478192ULL,
17208448209698888938ULL,
8739495587021565984ULL,
17000774922218161967ULL,
13533282547195532087ULL,
525402848358706231ULL,
16987541523062161972ULL,
5466806524462797102ULL,
14512769585918244983ULL,
10973956031244051118ULL,
},
{
6982293561042362913ULL,
14065426295947720331ULL,
16451845770444974180ULL,
7139138592091306727ULL,
9012006439959783127ULL,
14619614108529063361ULL,
1394813199588124371ULL,
4635111139507788575ULL,
16217473952264203365ULL,
10782018226466330683ULL,
6844229992533662050ULL,
7446486531695178711ULL,
},
{
3736792340494631448ULL,
577852220195055341ULL,
6689998335515779805ULL,
13886063479078013492ULL,
14358505101923202168ULL,
7744142531772274164ULL,
16135070735728404443ULL,
12290902521256031137ULL,
12059913662657709804ULL,
16456018495793751911ULL,
4571485474751953524ULL,
17200392109565783176ULL,
},
{
17130398059294018733ULL,
519782857322261988ULL,
9625384390925085478ULL,
1664893052631119222ULL,
7629576092524553570ULL,
3485239601103661425ULL,
9755891797164033838ULL,
15218148195153269027ULL,
16460604813734957368ULL,
9643968136937729763ULL,
3611348709641382851ULL,
18256379591337759196ULL,
},
};
static void apply_sbox(uint64_t *const state)
{
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
uint64_t t2 = mult_mod_p(*(state + i), *(state + i));
uint64_t t4 = mult_mod_p(t2, t2);
*(state + i) = mult_mod_p(*(state + i), mult_mod_p(t2, t4));
}
}
static void apply_mds(uint64_t *state)
{
uint64_t res[STATE_WIDTH];
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
res[i] = 0;
}
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
for (uint64_t j = 0; j < STATE_WIDTH; j++)
{
res[i] = add_mod_p(res[i], mult_mod_p(MDS[i][j], *(state + j)));
}
}
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
*(state + i) = res[i];
}
}
static void apply_constants(uint64_t *const state, const uint64_t *ark)
{
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
*(state + i) = add_mod_p(*(state + i), *(ark + i));
}
}
static void exp_acc(const uint64_t m, const uint64_t *base, const uint64_t *tail, uint64_t *const res)
{
for (uint64_t i = 0; i < m; i++)
{
for (uint64_t j = 0; j < STATE_WIDTH; j++)
{
if (i == 0)
{
*(res + j) = mult_mod_p(*(base + j), *(base + j));
}
else
{
*(res + j) = mult_mod_p(*(res + j), *(res + j));
}
}
}
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
*(res + i) = mult_mod_p(*(res + i), *(tail + i));
}
}
static void apply_inv_sbox(uint64_t *const state)
{
uint64_t t1[STATE_WIDTH];
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
t1[i] = 0;
}
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
t1[i] = mult_mod_p(*(state + i), *(state + i));
}
uint64_t t2[STATE_WIDTH];
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
t2[i] = 0;
}
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
t2[i] = mult_mod_p(t1[i], t1[i]);
}
uint64_t t3[STATE_WIDTH];
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
t3[i] = 0;
}
exp_acc(3, t2, t2, t3);
uint64_t t4[STATE_WIDTH];
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
t4[i] = 0;
}
exp_acc(6, t3, t3, t4);
uint64_t tmp[STATE_WIDTH];
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
tmp[i] = 0;
}
exp_acc(12, t4, t4, tmp);
uint64_t t5[STATE_WIDTH];
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
t5[i] = 0;
}
exp_acc(6, tmp, t3, t5);
uint64_t t6[STATE_WIDTH];
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
t6[i] = 0;
}
exp_acc(31, t5, t5, t6);
for (uint64_t i = 0; i < STATE_WIDTH; i++)
{
uint64_t a = mult_mod_p(mult_mod_p(t6[i], t6[i]), t5[i]);
a = mult_mod_p(a, a);
a = mult_mod_p(a, a);
uint64_t b = mult_mod_p(mult_mod_p(t1[i], t2[i]), *(state + i));
*(state + i) = mult_mod_p(a, b);
}
}
static void apply_round(uint64_t *const state, const uint64_t round)
{
apply_mds(state);
apply_constants(state, ARK1[round]);
apply_sbox(state);
apply_mds(state);
apply_constants(state, ARK2[round]);
apply_inv_sbox(state);
}
static void apply_permutation(uint64_t *state)
{
for (uint64_t i = 0; i < NUM_ROUNDS; i++)
{
apply_round(state, i);
}
}
/* ================================================================================================
* RPO128 implementation. This is supposed to substitute SHAKE256 in the hash-to-point algorithm.
*/
#include "rpo.h"
void rpo128_init(rpo128_context *rc)
{
rc->dptr = 32;
memset(rc->st.A, 0, sizeof rc->st.A);
}
void rpo128_absorb(rpo128_context *rc, const uint8_t *in, size_t len)
{
size_t dptr;
dptr = (size_t)rc->dptr;
while (len > 0)
{
size_t clen, u;
/* 136 * 8 = 1088 bit for the rate portion in the case of SHAKE256
* For RPO, this is 64 * 8 = 512 bits
* The capacity for SHAKE256 is at the end while for RPO128 it is at the beginning
*/
clen = 96 - dptr;
if (clen > len)
{
clen = len;
}
for (u = 0; u < clen; u++)
{
rc->st.dbuf[dptr + u] = in[u];
}
dptr += clen;
in += clen;
len -= clen;
if (dptr == 96)
{
apply_permutation(rc->st.A);
dptr = 32;
}
}
rc->dptr = dptr;
}
void rpo128_finalize(rpo128_context *rc)
{
// Set dptr to the end of the buffer, so that first call to extract will call the permutation.
rc->dptr = 96;
}
void rpo128_squeeze(rpo128_context *rc, uint8_t *out, size_t len)
{
size_t dptr;
dptr = (size_t)rc->dptr;
while (len > 0)
{
size_t clen;
if (dptr == 96)
{
apply_permutation(rc->st.A);
dptr = 32;
}
clen = 96 - dptr;
if (clen > len)
{
clen = len;
}
len -= clen;
memcpy(out, rc->st.dbuf + dptr, clen);
dptr += clen;
out += clen;
}
rc->dptr = dptr;
}
void rpo128_release(rpo128_context *rc)
{
memset(rc->st.A, 0, sizeof rc->st.A);
rc->dptr = 32;
}
/* ================================================================================================
* Hash-to-Point algorithm implementation based on RPO128
*/
void PQCLEAN_FALCON512_CLEAN_hash_to_point_rpo(rpo128_context *rc, uint16_t *x, unsigned logn)
{
/*
* This implementation avoids the rejection sampling step needed in the
* per-the-spec implementation. It uses a remark in https://falcon-sign.info/falcon.pdf
* page 31, which argues that the current variant is secure for the parameters set by NIST.
* Avoiding the rejection-sampling step leads to an implementation that is constant-time.
* TODO: Check that the current implementation is indeed constant-time.
*/
size_t n;
n = (size_t)1 << logn;
while (n > 0)
{
uint8_t buf[8];
uint64_t w;
rpo128_squeeze(rc, (void *)buf, sizeof buf);
w = ((uint64_t)(buf[7]) << 56) |
((uint64_t)(buf[6]) << 48) |
((uint64_t)(buf[5]) << 40) |
((uint64_t)(buf[4]) << 32) |
((uint64_t)(buf[3]) << 24) |
((uint64_t)(buf[2]) << 16) |
((uint64_t)(buf[1]) << 8) |
((uint64_t)(buf[0]));
w %= M;
*x++ = (uint16_t)w;
n--;
}
}

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@@ -0,0 +1,83 @@
#include <stdint.h>
#include <string.h>
/* ================================================================================================
* RPO hashing algorithm related structs and methods.
*/
/*
* RPO128 context.
*
* This structure is used by the hashing API. It is composed of an internal state that can be
* viewed as either:
* 1. 12 field elements in the Miden VM.
* 2. 96 bytes.
*
* The first view is used for the internal state in the context of the RPO hashing algorithm. The
* second view is used for the buffer used to absorb the data to be hashed.
*
* The pointer to the buffer is updated as the data is absorbed.
*
* 'rpo128_context' must be initialized with rpo128_init() before first use.
*/
typedef struct
{
union
{
uint64_t A[12];
uint8_t dbuf[96];
} st;
uint64_t dptr;
} rpo128_context;
/*
* Initializes an RPO state
*/
void rpo128_init(rpo128_context *rc);
/*
* Absorbs an array of bytes of length 'len' into the state.
*/
void rpo128_absorb(rpo128_context *rc, const uint8_t *in, size_t len);
/*
* Squeezes an array of bytes of length 'len' from the state.
*/
void rpo128_squeeze(rpo128_context *rc, uint8_t *out, size_t len);
/*
* Finalizes the state in preparation for squeezing.
*
* This function should be called after all the data has been absorbed.
*
* Note that the current implementation does not perform any sort of padding for domain separation
* purposes. The reason being that, for our purposes, we always perform the following sequence:
* 1. Absorb a Nonce (which is always 40 bytes packed as 8 field elements).
* 2. Absorb the message (which is always 4 field elements).
* 3. Call finalize.
* 4. Squeeze the output.
* 5. Call release.
*/
void rpo128_finalize(rpo128_context *rc);
/*
* Releases the state.
*
* This function should be called after the squeeze operation is finished.
*/
void rpo128_release(rpo128_context *rc);
/* ================================================================================================
* Hash-to-Point algorithm for signature generation and signature verification.
*/
/*
* Hash-to-Point algorithm.
*
* This function generates a point in Z_q[x]/(phi) from a given message.
*
* It takes a finalized rpo128_context as input and it generates the coefficients of the polynomial
* representing the point. The coefficients are stored in the array 'x'. The number of coefficients
* is given by 'logn', which must in our case is 512.
*/
void PQCLEAN_FALCON512_CLEAN_hash_to_point_rpo(rpo128_context *rc, uint16_t *x, unsigned logn);

View File

@@ -0,0 +1,189 @@
use libc::c_int;
// C IMPLEMENTATION INTERFACE
// ================================================================================================
#[link(name = "rpo_falcon512", kind = "static")]
extern "C" {
/// Generate a new key pair. Public key goes into pk[], private key in sk[].
/// Key sizes are exact (in bytes):
/// - public (pk): 897
/// - private (sk): 1281
///
/// Return value: 0 on success, -1 on error.
pub fn PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_rpo(pk: *mut u8, sk: *mut u8) -> c_int;
/// Generate a new key pair from seed. Public key goes into pk[], private key in sk[].
/// Key sizes are exact (in bytes):
/// - public (pk): 897
/// - private (sk): 1281
///
/// Return value: 0 on success, -1 on error.
pub fn PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_from_seed_rpo(
pk: *mut u8,
sk: *mut u8,
seed: *const u8,
) -> c_int;
/// Compute a signature on a provided message (m, mlen), with a given private key (sk).
/// Signature is written in sig[], with length written into *siglen. Signature length is
/// variable; maximum signature length (in bytes) is 666.
///
/// sig[], m[] and sk[] may overlap each other arbitrarily.
///
/// Return value: 0 on success, -1 on error.
pub fn PQCLEAN_FALCON512_CLEAN_crypto_sign_signature_rpo(
sig: *mut u8,
siglen: *mut usize,
m: *const u8,
mlen: usize,
sk: *const u8,
) -> c_int;
// TEST HELPERS
// --------------------------------------------------------------------------------------------
/// Verify a signature (sig, siglen) on a message (m, mlen) with a given public key (pk).
///
/// sig[], m[] and pk[] may overlap each other arbitrarily.
///
/// Return value: 0 on success, -1 on error.
#[cfg(test)]
pub fn PQCLEAN_FALCON512_CLEAN_crypto_sign_verify_rpo(
sig: *const u8,
siglen: usize,
m: *const u8,
mlen: usize,
pk: *const u8,
) -> c_int;
/// Hash-to-Point algorithm.
///
/// This function generates a point in Z_q[x]/(phi) from a given message.
///
/// It takes a finalized rpo128_context as input and it generates the coefficients of the polynomial
/// representing the point. The coefficients are stored in the array 'x'. The number of coefficients
/// is given by 'logn', which must in our case is 512.
#[cfg(test)]
pub fn PQCLEAN_FALCON512_CLEAN_hash_to_point_rpo(
rc: *mut Rpo128Context,
x: *mut u16,
logn: usize,
);
#[cfg(test)]
pub fn rpo128_init(sc: *mut Rpo128Context);
#[cfg(test)]
pub fn rpo128_absorb(
sc: *mut Rpo128Context,
data: *const ::std::os::raw::c_void,
len: libc::size_t,
);
#[cfg(test)]
pub fn rpo128_finalize(sc: *mut Rpo128Context);
}
#[repr(C)]
#[cfg(test)]
pub struct Rpo128Context {
pub content: [u64; 13usize],
}
// TESTS
// ================================================================================================
#[cfg(all(test, feature = "std"))]
mod tests {
use super::*;
use crate::dsa::rpo_falcon512::{NONCE_LEN, PK_LEN, SIG_LEN, SK_LEN};
use rand_utils::{rand_array, rand_value, rand_vector};
#[test]
fn falcon_ffi() {
unsafe {
//let mut rng = rand::thread_rng();
// --- generate a key pair from a seed ----------------------------
let mut pk = [0u8; PK_LEN];
let mut sk = [0u8; SK_LEN];
let seed: [u8; NONCE_LEN] = rand_array();
assert_eq!(
0,
PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_from_seed_rpo(
pk.as_mut_ptr(),
sk.as_mut_ptr(),
seed.as_ptr()
)
);
// --- sign a message and make sure it verifies -------------------
let mlen: usize = rand_value::<u16>() as usize;
let msg: Vec<u8> = rand_vector(mlen);
let mut detached_sig = [0u8; NONCE_LEN + SIG_LEN];
let mut siglen = 0;
assert_eq!(
0,
PQCLEAN_FALCON512_CLEAN_crypto_sign_signature_rpo(
detached_sig.as_mut_ptr(),
&mut siglen as *mut usize,
msg.as_ptr(),
msg.len(),
sk.as_ptr()
)
);
assert_eq!(
0,
PQCLEAN_FALCON512_CLEAN_crypto_sign_verify_rpo(
detached_sig.as_ptr(),
siglen,
msg.as_ptr(),
msg.len(),
pk.as_ptr()
)
);
// --- check verification of different signature ------------------
assert_eq!(
-1,
PQCLEAN_FALCON512_CLEAN_crypto_sign_verify_rpo(
detached_sig.as_ptr(),
siglen,
msg.as_ptr(),
msg.len() - 1,
pk.as_ptr()
)
);
// --- check verification against a different pub key -------------
let mut pk_alt = [0u8; PK_LEN];
let mut sk_alt = [0u8; SK_LEN];
assert_eq!(
0,
PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_rpo(
pk_alt.as_mut_ptr(),
sk_alt.as_mut_ptr()
)
);
assert_eq!(
-1,
PQCLEAN_FALCON512_CLEAN_crypto_sign_verify_rpo(
detached_sig.as_ptr(),
siglen,
msg.as_ptr(),
msg.len(),
pk_alt.as_ptr()
)
);
}
}
}

View File

@@ -0,0 +1,232 @@
use super::{
ByteReader, ByteWriter, Deserializable, DeserializationError, FalconError, Polynomial,
PublicKeyBytes, Rpo256, SecretKeyBytes, Serializable, Signature, Word,
};
#[cfg(feature = "std")]
use super::{ffi, NonceBytes, StarkField, NONCE_LEN, PK_LEN, SIG_LEN, SK_LEN};
// PUBLIC KEY
// ================================================================================================
/// A public key for verifying signatures.
///
/// The public key is a [Word] (i.e., 4 field elements) that is the hash of the coefficients of
/// the polynomial representing the raw bytes of the expanded public key.
///
/// For Falcon-512, the first byte of the expanded public key is always equal to log2(512) i.e., 9.
#[derive(Debug, Clone, Copy, PartialEq)]
pub struct PublicKey(Word);
impl PublicKey {
/// Returns a new [PublicKey] which is a commitment to the provided expanded public key.
///
/// # Errors
/// Returns an error if the decoding of the public key fails.
pub fn new(pk: PublicKeyBytes) -> Result<Self, FalconError> {
let h = Polynomial::from_pub_key(&pk)?;
let pk_felts = h.to_elements();
let pk_digest = Rpo256::hash_elements(&pk_felts).into();
Ok(Self(pk_digest))
}
/// Verifies the provided signature against provided message and this public key.
pub fn verify(&self, message: Word, signature: &Signature) -> bool {
signature.verify(message, self.0)
}
}
impl From<PublicKey> for Word {
fn from(key: PublicKey) -> Self {
key.0
}
}
// KEY PAIR
// ================================================================================================
/// A key pair (public and secret keys) for signing messages.
///
/// The secret key is a byte array of length [PK_LEN].
/// The public key is a byte array of length [SK_LEN].
#[derive(Debug, Clone, Copy, PartialEq)]
pub struct KeyPair {
public_key: PublicKeyBytes,
secret_key: SecretKeyBytes,
}
#[allow(clippy::new_without_default)]
impl KeyPair {
// CONSTRUCTORS
// --------------------------------------------------------------------------------------------
/// Generates a (public_key, secret_key) key pair from OS-provided randomness.
///
/// # Errors
/// Returns an error if key generation fails.
#[cfg(feature = "std")]
pub fn new() -> Result<Self, FalconError> {
let mut public_key = [0u8; PK_LEN];
let mut secret_key = [0u8; SK_LEN];
let res = unsafe {
ffi::PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_rpo(
public_key.as_mut_ptr(),
secret_key.as_mut_ptr(),
)
};
if res == 0 {
Ok(Self { public_key, secret_key })
} else {
Err(FalconError::KeyGenerationFailed)
}
}
/// Generates a (public_key, secret_key) key pair from the provided seed.
///
/// # Errors
/// Returns an error if key generation fails.
#[cfg(feature = "std")]
pub fn from_seed(seed: &NonceBytes) -> Result<Self, FalconError> {
let mut public_key = [0u8; PK_LEN];
let mut secret_key = [0u8; SK_LEN];
let res = unsafe {
ffi::PQCLEAN_FALCON512_CLEAN_crypto_sign_keypair_from_seed_rpo(
public_key.as_mut_ptr(),
secret_key.as_mut_ptr(),
seed.as_ptr(),
)
};
if res == 0 {
Ok(Self { public_key, secret_key })
} else {
Err(FalconError::KeyGenerationFailed)
}
}
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns the public key corresponding to this key pair.
pub fn public_key(&self) -> PublicKey {
// TODO: memoize public key commitment as computing it requires quite a bit of hashing.
// expect() is fine here because we assume that the key pair was constructed correctly.
PublicKey::new(self.public_key).expect("invalid key pair")
}
/// Returns the expanded public key corresponding to this key pair.
pub fn expanded_public_key(&self) -> PublicKeyBytes {
self.public_key
}
// SIGNATURE GENERATION
// --------------------------------------------------------------------------------------------
/// Signs a message with a secret key and a seed.
///
/// # Errors
/// Returns an error of signature generation fails.
#[cfg(feature = "std")]
pub fn sign(&self, message: Word) -> Result<Signature, FalconError> {
let msg = message.iter().flat_map(|e| e.as_int().to_le_bytes()).collect::<Vec<_>>();
let msg_len = msg.len();
let mut sig = [0_u8; SIG_LEN + NONCE_LEN];
let mut sig_len: usize = 0;
let res = unsafe {
ffi::PQCLEAN_FALCON512_CLEAN_crypto_sign_signature_rpo(
sig.as_mut_ptr(),
&mut sig_len as *mut usize,
msg.as_ptr(),
msg_len,
self.secret_key.as_ptr(),
)
};
if res == 0 {
Ok(Signature {
sig,
pk: self.public_key,
pk_polynomial: Default::default(),
sig_polynomial: Default::default(),
})
} else {
Err(FalconError::SigGenerationFailed)
}
}
}
// SERIALIZATION / DESERIALIZATION
// ================================================================================================
impl Serializable for KeyPair {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
target.write_bytes(&self.public_key);
target.write_bytes(&self.secret_key);
}
}
impl Deserializable for KeyPair {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let public_key: PublicKeyBytes = source.read_array()?;
let secret_key: SecretKeyBytes = source.read_array()?;
Ok(Self { public_key, secret_key })
}
}
// TESTS
// ================================================================================================
#[cfg(all(test, feature = "std"))]
mod tests {
use super::{super::Felt, KeyPair, NonceBytes, Word};
use rand_utils::{rand_array, rand_vector};
#[test]
fn test_falcon_verification() {
// generate random keys
let keys = KeyPair::new().unwrap();
let pk = keys.public_key();
// sign a random message
let message: Word = rand_vector::<Felt>(4).try_into().expect("Should not fail.");
let signature = keys.sign(message);
// make sure the signature verifies correctly
assert!(pk.verify(message, signature.as_ref().unwrap()));
// a signature should not verify against a wrong message
let message2: Word = rand_vector::<Felt>(4).try_into().expect("Should not fail.");
assert!(!pk.verify(message2, signature.as_ref().unwrap()));
// a signature should not verify against a wrong public key
let keys2 = KeyPair::new().unwrap();
assert!(!keys2.public_key().verify(message, signature.as_ref().unwrap()))
}
#[test]
fn test_falcon_verification_from_seed() {
// generate keys from a random seed
let seed: NonceBytes = rand_array();
let keys = KeyPair::from_seed(&seed).unwrap();
let pk = keys.public_key();
// sign a random message
let message: Word = rand_vector::<Felt>(4).try_into().expect("Should not fail.");
let signature = keys.sign(message);
// make sure the signature verifies correctly
assert!(pk.verify(message, signature.as_ref().unwrap()));
// a signature should not verify against a wrong message
let message2: Word = rand_vector::<Felt>(4).try_into().expect("Should not fail.");
assert!(!pk.verify(message2, signature.as_ref().unwrap()));
// a signature should not verify against a wrong public key
let keys2 = KeyPair::new().unwrap();
assert!(!keys2.public_key().verify(message, signature.as_ref().unwrap()))
}
}

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use crate::{
hash::rpo::Rpo256,
utils::{
collections::Vec, ByteReader, ByteWriter, Deserializable, DeserializationError,
Serializable,
},
Felt, StarkField, Word, ZERO,
};
#[cfg(feature = "std")]
mod ffi;
mod error;
mod keys;
mod polynomial;
mod signature;
pub use error::FalconError;
pub use keys::{KeyPair, PublicKey};
pub use polynomial::Polynomial;
pub use signature::Signature;
// CONSTANTS
// ================================================================================================
// The Falcon modulus.
const MODULUS: u16 = 12289;
const MODULUS_MINUS_1_OVER_TWO: u16 = 6144;
// The Falcon parameters for Falcon-512. This is the degree of the polynomial `phi := x^N + 1`
// defining the ring Z_p[x]/(phi).
const N: usize = 512;
const LOG_N: usize = 9;
/// Length of nonce used for key-pair generation.
const NONCE_LEN: usize = 40;
/// Number of filed elements used to encode a nonce.
const NONCE_ELEMENTS: usize = 8;
/// Public key length as a u8 vector.
const PK_LEN: usize = 897;
/// Secret key length as a u8 vector.
const SK_LEN: usize = 1281;
/// Signature length as a u8 vector.
const SIG_LEN: usize = 626;
/// Bound on the squared-norm of the signature.
const SIG_L2_BOUND: u64 = 34034726;
// TYPE ALIASES
// ================================================================================================
type SignatureBytes = [u8; NONCE_LEN + SIG_LEN];
type PublicKeyBytes = [u8; PK_LEN];
type SecretKeyBytes = [u8; SK_LEN];
type NonceBytes = [u8; NONCE_LEN];
type NonceElements = [Felt; NONCE_ELEMENTS];

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use super::{FalconError, Felt, Vec, LOG_N, MODULUS, MODULUS_MINUS_1_OVER_TWO, N, PK_LEN};
use core::ops::{Add, Mul, Sub};
// FALCON POLYNOMIAL
// ================================================================================================
/// A polynomial over Z_p[x]/(phi) where phi := x^512 + 1
#[derive(Debug, Copy, Clone, PartialEq)]
pub struct Polynomial([u16; N]);
impl Polynomial {
// CONSTRUCTORS
// --------------------------------------------------------------------------------------------
/// Constructs a new polynomial from a list of coefficients.
///
/// # Safety
/// This constructor validates that the coefficients are in the valid range only in debug mode.
pub unsafe fn new(data: [u16; N]) -> Self {
for value in data {
debug_assert!(value < MODULUS);
}
Self(data)
}
/// Decodes raw bytes representing a public key into a polynomial in Z_p[x]/(phi).
///
/// # Errors
/// Returns an error if:
/// - The provided input is not exactly 897 bytes long.
/// - The first byte of the input is not equal to log2(512) i.e., 9.
/// - Any of the coefficients encoded in the provided input is greater than or equal to the
/// Falcon field modulus.
pub fn from_pub_key(input: &[u8]) -> Result<Self, FalconError> {
if input.len() != PK_LEN {
return Err(FalconError::PubKeyDecodingInvalidLength(input.len()));
}
if input[0] != LOG_N as u8 {
return Err(FalconError::PubKeyDecodingInvalidTag(input[0]));
}
let mut acc = 0_u32;
let mut acc_len = 0;
let mut output = [0_u16; N];
let mut output_idx = 0;
for &byte in input.iter().skip(1) {
acc = (acc << 8) | (byte as u32);
acc_len += 8;
if acc_len >= 14 {
acc_len -= 14;
let w = (acc >> acc_len) & 0x3FFF;
if w >= MODULUS as u32 {
return Err(FalconError::PubKeyDecodingInvalidCoefficient(w));
}
output[output_idx] = w as u16;
output_idx += 1;
}
}
if (acc & ((1u32 << acc_len) - 1)) == 0 {
Ok(Self(output))
} else {
Err(FalconError::PubKeyDecodingExtraData)
}
}
/// Decodes the signature into the coefficients of a polynomial in Z_p[x]/(phi). It assumes
/// that the signature has been encoded using the uncompressed format.
///
/// # Errors
/// Returns an error if:
/// - The signature has been encoded using a different algorithm than the reference compressed
/// encoding algorithm.
/// - The encoded signature polynomial is in Z_p[x]/(phi') where phi' = x^N' + 1 and N' != 512.
/// - While decoding the high bits of a coefficient, the current accumulated value of its
/// high bits is larger than 2048.
/// - The decoded coefficient is -0.
/// - The remaining unused bits in the last byte of `input` are non-zero.
pub fn from_signature(input: &[u8]) -> Result<Self, FalconError> {
let (encoding, log_n) = (input[0] >> 4, input[0] & 0b00001111);
if encoding != 0b0011 {
return Err(FalconError::SigDecodingIncorrectEncodingAlgorithm);
}
if log_n != 0b1001 {
return Err(FalconError::SigDecodingNotSupportedDegree(log_n));
}
let input = &input[41..];
let mut input_idx = 0;
let mut acc = 0u32;
let mut acc_len = 0;
let mut output = [0_u16; N];
for e in output.iter_mut() {
acc = (acc << 8) | (input[input_idx] as u32);
input_idx += 1;
let b = acc >> acc_len;
let s = b & 128;
let mut m = b & 127;
loop {
if acc_len == 0 {
acc = (acc << 8) | (input[input_idx] as u32);
input_idx += 1;
acc_len = 8;
}
acc_len -= 1;
if ((acc >> acc_len) & 1) != 0 {
break;
}
m += 128;
if m >= 2048 {
return Err(FalconError::SigDecodingTooBigHighBits(m));
}
}
if s != 0 && m == 0 {
return Err(FalconError::SigDecodingMinusZero);
}
*e = if s != 0 { (MODULUS as u32 - m) as u16 } else { m as u16 };
}
if (acc & ((1 << acc_len) - 1)) != 0 {
return Err(FalconError::SigDecodingNonZeroUnusedBitsLastByte);
}
Ok(Self(output))
}
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns the coefficients of this polynomial as integers.
pub fn inner(&self) -> [u16; N] {
self.0
}
/// Returns the coefficients of this polynomial as field elements.
pub fn to_elements(&self) -> Vec<Felt> {
self.0.iter().map(|&a| Felt::from(a)).collect()
}
// POLYNOMIAL OPERATIONS
// --------------------------------------------------------------------------------------------
/// Multiplies two polynomials over Z_p[x] without reducing modulo p. Given that the degrees
/// of the input polynomials are less than 512 and their coefficients are less than the modulus
/// q equal to 12289, the resulting product polynomial is guaranteed to have coefficients less
/// than the Miden prime.
///
/// Note that this multiplication is not over Z_p[x]/(phi).
pub fn mul_modulo_p(a: &Self, b: &Self) -> [u64; 1024] {
let mut c = [0; 2 * N];
for i in 0..N {
for j in 0..N {
c[i + j] += a.0[i] as u64 * b.0[j] as u64;
}
}
c
}
/// Reduces a polynomial, that is the product of two polynomials over Z_p[x], modulo
/// the irreducible polynomial phi. This results in an element in Z_p[x]/(phi).
pub fn reduce_negacyclic(a: &[u64; 1024]) -> Self {
let mut c = [0; N];
for i in 0..N {
let ai = a[N + i] % MODULUS as u64;
let neg_ai = (MODULUS - ai as u16) % MODULUS;
let bi = (a[i] % MODULUS as u64) as u16;
c[i] = (neg_ai + bi) % MODULUS;
}
Self(c)
}
/// Computes the norm squared of a polynomial in Z_p[x]/(phi) after normalizing its
/// coefficients to be in the interval (-p/2, p/2].
pub fn sq_norm(&self) -> u64 {
let mut res = 0;
for e in self.0 {
if e > MODULUS_MINUS_1_OVER_TWO {
res += (MODULUS - e) as u64 * (MODULUS - e) as u64
} else {
res += e as u64 * e as u64
}
}
res
}
}
// Returns a polynomial representing the zero polynomial i.e. default element.
impl Default for Polynomial {
fn default() -> Self {
Self([0_u16; N])
}
}
/// Multiplication over Z_p[x]/(phi)
impl Mul for Polynomial {
type Output = Self;
fn mul(self, other: Self) -> <Self as Mul<Self>>::Output {
let mut result = [0_u16; N];
for j in 0..N {
for k in 0..N {
let i = (j + k) % N;
let a = self.0[j] as usize;
let b = other.0[k] as usize;
let q = MODULUS as usize;
let mut prod = a * b % q;
if (N - 1) < (j + k) {
prod = (q - prod) % q;
}
result[i] = ((result[i] as usize + prod) % q) as u16;
}
}
Polynomial(result)
}
}
/// Addition over Z_p[x]/(phi)
impl Add for Polynomial {
type Output = Self;
fn add(self, other: Self) -> <Self as Add<Self>>::Output {
let mut res = self;
res.0.iter_mut().zip(other.0.iter()).for_each(|(x, y)| *x = (*x + *y) % MODULUS);
res
}
}
/// Subtraction over Z_p[x]/(phi)
impl Sub for Polynomial {
type Output = Self;
fn sub(self, other: Self) -> <Self as Add<Self>>::Output {
let mut res = self;
res.0
.iter_mut()
.zip(other.0.iter())
.for_each(|(x, y)| *x = (*x + MODULUS - *y) % MODULUS);
res
}
}
// TESTS
// ================================================================================================
#[cfg(test)]
mod tests {
use super::{Polynomial, N};
#[test]
fn test_negacyclic_reduction() {
let coef1: [u16; N] = rand_utils::rand_array();
let coef2: [u16; N] = rand_utils::rand_array();
let poly1 = Polynomial(coef1);
let poly2 = Polynomial(coef2);
assert_eq!(
poly1 * poly2,
Polynomial::reduce_negacyclic(&Polynomial::mul_modulo_p(&poly1, &poly2))
);
}
}

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use super::{
ByteReader, ByteWriter, Deserializable, DeserializationError, NonceBytes, NonceElements,
Polynomial, PublicKeyBytes, Rpo256, Serializable, SignatureBytes, StarkField, Word, MODULUS, N,
SIG_L2_BOUND, ZERO,
};
use crate::utils::string::ToString;
use core::cell::OnceCell;
// FALCON SIGNATURE
// ================================================================================================
/// An RPO Falcon512 signature over a message.
///
/// The signature is a pair of polynomials (s1, s2) in (Z_p[x]/(phi))^2, where:
/// - p := 12289
/// - phi := x^512 + 1
/// - s1 = c - s2 * h
/// - h is a polynomial representing the public key and c is a polynomial that is the hash-to-point
/// of the message being signed.
///
/// The signature verifies if and only if:
/// 1. s1 = c - s2 * h
/// 2. |s1|^2 + |s2|^2 <= SIG_L2_BOUND
///
/// where |.| is the norm.
///
/// [Signature] also includes the extended public key which is serialized as:
/// 1. 1 byte representing the log2(512) i.e., 9.
/// 2. 896 bytes for the public key. This is decoded into the `h` polynomial above.
///
/// The actual signature is serialized as:
/// 1. A header byte specifying the algorithm used to encode the coefficients of the `s2` polynomial
/// together with the degree of the irreducible polynomial phi.
/// The general format of this byte is 0b0cc1nnnn where:
/// a. cc is either 01 when the compressed encoding algorithm is used and 10 when the
/// uncompressed algorithm is used.
/// b. nnnn is log2(N) where N is the degree of the irreducible polynomial phi.
/// The current implementation works always with cc equal to 0b01 and nnnn equal to 0b1001 and
/// thus the header byte is always equal to 0b00111001.
/// 2. 40 bytes for the nonce.
/// 3. 625 bytes encoding the `s2` polynomial above.
///
/// The total size of the signature (including the extended public key) is 1563 bytes.
pub struct Signature {
pub(super) pk: PublicKeyBytes,
pub(super) sig: SignatureBytes,
// Cached polynomial decoding for public key and signatures
pub(super) pk_polynomial: OnceCell<Polynomial>,
pub(super) sig_polynomial: OnceCell<Polynomial>,
}
impl Signature {
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns the public key polynomial h.
pub fn pub_key_poly(&self) -> Polynomial {
*self.pk_polynomial.get_or_init(|| {
// we assume that the signature was constructed with a valid public key, and thus
// expect() is OK here.
Polynomial::from_pub_key(&self.pk).expect("invalid public key")
})
}
/// Returns the nonce component of the signature represented as field elements.
///
/// Nonce bytes are converted to field elements by taking consecutive 5 byte chunks
/// of the nonce and interpreting them as field elements.
pub fn nonce(&self) -> NonceElements {
// we assume that the signature was constructed with a valid signature, and thus
// expect() is OK here.
let nonce = self.sig[1..41].try_into().expect("invalid signature");
decode_nonce(nonce)
}
// Returns the polynomial representation of the signature in Z_p[x]/(phi).
pub fn sig_poly(&self) -> Polynomial {
*self.sig_polynomial.get_or_init(|| {
// we assume that the signature was constructed with a valid signature, and thus
// expect() is OK here.
Polynomial::from_signature(&self.sig).expect("invalid signature")
})
}
// HASH-TO-POINT
// --------------------------------------------------------------------------------------------
/// Returns a polynomial in Z_p[x]/(phi) representing the hash of the provided message.
pub fn hash_to_point(&self, message: Word) -> Polynomial {
hash_to_point(message, &self.nonce())
}
// SIGNATURE VERIFICATION
// --------------------------------------------------------------------------------------------
/// Returns true if this signature is a valid signature for the specified message generated
/// against key pair matching the specified public key commitment.
pub fn verify(&self, message: Word, pubkey_com: Word) -> bool {
// Make sure the expanded public key matches the provided public key commitment
let h = self.pub_key_poly();
let h_digest: Word = Rpo256::hash_elements(&h.to_elements()).into();
if h_digest != pubkey_com {
return false;
}
// Make sure the signature is valid
let s2 = self.sig_poly();
let c = self.hash_to_point(message);
let s1 = c - s2 * h;
let sq_norm = s1.sq_norm() + s2.sq_norm();
sq_norm <= SIG_L2_BOUND
}
}
// SERIALIZATION / DESERIALIZATION
// ================================================================================================
impl Serializable for Signature {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
target.write_bytes(&self.pk);
target.write_bytes(&self.sig);
}
}
impl Deserializable for Signature {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let pk: PublicKeyBytes = source.read_array()?;
let sig: SignatureBytes = source.read_array()?;
// make sure public key and signature can be decoded correctly
let pk_polynomial = Polynomial::from_pub_key(&pk)
.map_err(|err| DeserializationError::InvalidValue(err.to_string()))?
.into();
let sig_polynomial = Polynomial::from_signature(&sig[41..])
.map_err(|err| DeserializationError::InvalidValue(err.to_string()))?
.into();
Ok(Self { pk, sig, pk_polynomial, sig_polynomial })
}
}
// HELPER FUNCTIONS
// ================================================================================================
/// Returns a polynomial in Z_p[x]/(phi) representing the hash of the provided message and
/// nonce.
fn hash_to_point(message: Word, nonce: &NonceElements) -> Polynomial {
let mut state = [ZERO; Rpo256::STATE_WIDTH];
// absorb the nonce into the state
for (&n, s) in nonce.iter().zip(state[Rpo256::RATE_RANGE].iter_mut()) {
*s = n;
}
Rpo256::apply_permutation(&mut state);
// absorb message into the state
for (&m, s) in message.iter().zip(state[Rpo256::RATE_RANGE].iter_mut()) {
*s = m;
}
// squeeze the coefficients of the polynomial
let mut i = 0;
let mut res = [0_u16; N];
for _ in 0..64 {
Rpo256::apply_permutation(&mut state);
for a in &state[Rpo256::RATE_RANGE] {
res[i] = (a.as_int() % MODULUS as u64) as u16;
i += 1;
}
}
// using the raw constructor is OK here because we reduce all coefficients by the modulus above
unsafe { Polynomial::new(res) }
}
/// Converts byte representation of the nonce into field element representation.
fn decode_nonce(nonce: &NonceBytes) -> NonceElements {
let mut buffer = [0_u8; 8];
let mut result = [ZERO; 8];
for (i, bytes) in nonce.chunks(5).enumerate() {
buffer[..5].copy_from_slice(bytes);
result[i] = u64::from_le_bytes(buffer).into();
}
result
}
// TESTS
// ================================================================================================
#[cfg(all(test, feature = "std"))]
mod tests {
use super::{
super::{ffi::*, Felt},
*,
};
use libc::c_void;
use rand_utils::rand_vector;
// Wrappers for unsafe functions
impl Rpo128Context {
/// Initializes the RPO state.
pub fn init() -> Self {
let mut ctx = Rpo128Context { content: [0u64; 13] };
unsafe {
rpo128_init(&mut ctx as *mut Rpo128Context);
}
ctx
}
/// Absorbs data into the RPO state.
pub fn absorb(&mut self, data: &[u8]) {
unsafe {
rpo128_absorb(
self as *mut Rpo128Context,
data.as_ptr() as *const c_void,
data.len(),
)
}
}
/// Finalizes the RPO state to prepare for squeezing.
pub fn finalize(&mut self) {
unsafe { rpo128_finalize(self as *mut Rpo128Context) }
}
}
#[test]
fn test_hash_to_point() {
// Create a random message and transform it into a u8 vector
let msg_felts: Word = rand_vector::<Felt>(4).try_into().unwrap();
let msg_bytes = msg_felts.iter().flat_map(|e| e.as_int().to_le_bytes()).collect::<Vec<_>>();
// Create a nonce i.e. a [u8; 40] array and pack into a [Felt; 8] array.
let nonce: [u8; 40] = rand_vector::<u8>(40).try_into().unwrap();
let mut buffer = [0_u8; 64];
for i in 0..8 {
buffer[8 * i] = nonce[5 * i];
buffer[8 * i + 1] = nonce[5 * i + 1];
buffer[8 * i + 2] = nonce[5 * i + 2];
buffer[8 * i + 3] = nonce[5 * i + 3];
buffer[8 * i + 4] = nonce[5 * i + 4];
}
// Initialize the RPO state
let mut rng = Rpo128Context::init();
// Absorb the nonce and message into the RPO state
rng.absorb(&buffer);
rng.absorb(&msg_bytes);
rng.finalize();
// Generate the coefficients of the hash-to-point polynomial.
let mut res: [u16; N] = [0; N];
unsafe {
PQCLEAN_FALCON512_CLEAN_hash_to_point_rpo(
&mut rng as *mut Rpo128Context,
res.as_mut_ptr(),
9,
);
}
// Check that the coefficients are correct
let nonce = decode_nonce(&nonce);
assert_eq!(res, hash_to_point(msg_felts, &nonce).inner());
}
}

977
src/gkr/circuit/mod.rs Normal file
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use alloc::sync::Arc;
use winter_crypto::{ElementHasher, RandomCoin};
use winter_math::fields::f64::BaseElement;
use winter_math::FieldElement;
use crate::gkr::multivariate::{
ComposedMultiLinearsOracle, EqPolynomial, GkrCompositionVanilla, MultiLinearOracle,
};
use crate::gkr::sumcheck::{sum_check_verify, Claim};
use super::multivariate::{
gen_plain_gkr_oracle, gkr_composition_from_composition_polys, ComposedMultiLinears,
CompositionPolynomial, MultiLinear,
};
use super::sumcheck::{
sum_check_prove, sum_check_verify_and_reduce, FinalEvaluationClaim,
PartialProof as SumcheckInstanceProof, RoundProof as SumCheckRoundProof, Witness,
};
/// Layered circuit for computing a sum of fractions.
///
/// The circuit computes a sum of fractions based on the formula a / c + b / d = (a * d + b * c) / (c * d)
/// which defines a "gate" ((a, b), (c, d)) --> (a * d + b * c, c * d) upon which the `FractionalSumCircuit`
/// is built.
/// TODO: Swap 1 and 0
#[derive(Debug)]
pub struct FractionalSumCircuit<E: FieldElement> {
p_1_vec: Vec<MultiLinear<E>>,
p_0_vec: Vec<MultiLinear<E>>,
q_1_vec: Vec<MultiLinear<E>>,
q_0_vec: Vec<MultiLinear<E>>,
}
impl<E: FieldElement> FractionalSumCircuit<E> {
/// Computes The values of the gates outputs for each of the layers of the fractional sum circuit.
pub fn new_(num_den: &Vec<MultiLinear<E>>) -> Self {
let mut p_1_vec: Vec<MultiLinear<E>> = Vec::new();
let mut p_0_vec: Vec<MultiLinear<E>> = Vec::new();
let mut q_1_vec: Vec<MultiLinear<E>> = Vec::new();
let mut q_0_vec: Vec<MultiLinear<E>> = Vec::new();
let num_layers = num_den[0].len().ilog2() as usize;
p_1_vec.push(num_den[0].to_owned());
p_0_vec.push(num_den[1].to_owned());
q_1_vec.push(num_den[2].to_owned());
q_0_vec.push(num_den[3].to_owned());
for i in 0..num_layers {
let (output_p_1, output_p_0, output_q_1, output_q_0) =
FractionalSumCircuit::compute_layer(
&p_1_vec[i],
&p_0_vec[i],
&q_1_vec[i],
&q_0_vec[i],
);
p_1_vec.push(output_p_1);
p_0_vec.push(output_p_0);
q_1_vec.push(output_q_1);
q_0_vec.push(output_q_0);
}
FractionalSumCircuit { p_1_vec, p_0_vec, q_1_vec, q_0_vec }
}
/// Compute the output values of the layer given a set of input values
fn compute_layer(
inp_p_1: &MultiLinear<E>,
inp_p_0: &MultiLinear<E>,
inp_q_1: &MultiLinear<E>,
inp_q_0: &MultiLinear<E>,
) -> (MultiLinear<E>, MultiLinear<E>, MultiLinear<E>, MultiLinear<E>) {
let len = inp_q_1.len();
let outp_p_1 = (0..len / 2)
.map(|i| inp_p_1[i] * inp_q_0[i] + inp_p_0[i] * inp_q_1[i])
.collect::<Vec<E>>();
let outp_p_0 = (len / 2..len)
.map(|i| inp_p_1[i] * inp_q_0[i] + inp_p_0[i] * inp_q_1[i])
.collect::<Vec<E>>();
let outp_q_1 = (0..len / 2).map(|i| inp_q_1[i] * inp_q_0[i]).collect::<Vec<E>>();
let outp_q_0 = (len / 2..len).map(|i| inp_q_1[i] * inp_q_0[i]).collect::<Vec<E>>();
(
MultiLinear::new(outp_p_1),
MultiLinear::new(outp_p_0),
MultiLinear::new(outp_q_1),
MultiLinear::new(outp_q_0),
)
}
/// Computes The values of the gates outputs for each of the layers of the fractional sum circuit.
pub fn new(poly: &MultiLinear<E>) -> Self {
let mut p_1_vec: Vec<MultiLinear<E>> = Vec::new();
let mut p_0_vec: Vec<MultiLinear<E>> = Vec::new();
let mut q_1_vec: Vec<MultiLinear<E>> = Vec::new();
let mut q_0_vec: Vec<MultiLinear<E>> = Vec::new();
let num_layers = poly.len().ilog2() as usize - 1;
let (output_p, output_q) = poly.split(poly.len() / 2);
let (output_p_1, output_p_0) = output_p.split(output_p.len() / 2);
let (output_q_1, output_q_0) = output_q.split(output_q.len() / 2);
p_1_vec.push(output_p_1);
p_0_vec.push(output_p_0);
q_1_vec.push(output_q_1);
q_0_vec.push(output_q_0);
for i in 0..num_layers - 1 {
let (output_p_1, output_p_0, output_q_1, output_q_0) =
FractionalSumCircuit::compute_layer(
&p_1_vec[i],
&p_0_vec[i],
&q_1_vec[i],
&q_0_vec[i],
);
p_1_vec.push(output_p_1);
p_0_vec.push(output_p_0);
q_1_vec.push(output_q_1);
q_0_vec.push(output_q_0);
}
FractionalSumCircuit { p_1_vec, p_0_vec, q_1_vec, q_0_vec }
}
/// Given a value r, computes the evaluation of the last layer at r when interpreted as (two)
/// multilinear polynomials.
pub fn evaluate(&self, r: E) -> (E, E) {
let len = self.p_1_vec.len();
assert_eq!(self.p_1_vec[len - 1].num_variables(), 0);
assert_eq!(self.p_0_vec[len - 1].num_variables(), 0);
assert_eq!(self.q_1_vec[len - 1].num_variables(), 0);
assert_eq!(self.q_0_vec[len - 1].num_variables(), 0);
let mut p_1 = self.p_1_vec[len - 1].clone();
p_1.extend(&self.p_0_vec[len - 1]);
let mut q_1 = self.q_1_vec[len - 1].clone();
q_1.extend(&self.q_0_vec[len - 1]);
(p_1.evaluate(&[r]), q_1.evaluate(&[r]))
}
}
/// A proof for reducing a claim on the correctness of the output of a layer to that of:
///
/// 1. Correctness of a sumcheck proof on the claimed output.
/// 2. Correctness of the evaluation of the input (to the said layer) at a random point when
/// interpreted as multilinear polynomial.
///
/// The verifier will then have to work backward and:
///
/// 1. Verify that the sumcheck proof is valid.
/// 2. Recurse on the (claimed evaluations) using the same approach as above.
///
/// Note that the following struct batches proofs for many circuits of the same type that
/// are independent i.e., parallel.
#[derive(Debug)]
pub struct LayerProof<E: FieldElement> {
pub proof: SumcheckInstanceProof<E>,
pub claims_sum_p1: E,
pub claims_sum_p0: E,
pub claims_sum_q1: E,
pub claims_sum_q0: E,
}
#[allow(dead_code)]
impl<E: FieldElement<BaseField = BaseElement> + 'static> LayerProof<E> {
/// Checks the validity of a `LayerProof`.
///
/// It first reduces the 2 claims to 1 claim using randomness and then checks that the sumcheck
/// protocol was correctly executed.
///
/// The method outputs:
///
/// 1. A vector containing the randomness sent by the verifier throughout the course of the
/// sum-check protocol.
/// 2. The (claimed) evaluation of the inner polynomial (i.e., the one being summed) at the this random vector.
/// 3. The random value used in the 2-to-1 reduction of the 2 sumchecks.
pub fn verify_sum_check_before_last<
C: RandomCoin<Hasher = H, BaseField = BaseElement>,
H: ElementHasher<BaseField = BaseElement>,
>(
&self,
claim: (E, E),
num_rounds: usize,
transcript: &mut C,
) -> ((E, Vec<E>), E) {
// Absorb the claims
let data = vec![claim.0, claim.1];
transcript.reseed(H::hash_elements(&data));
// Squeeze challenge to reduce two sumchecks to one
let r_sum_check: E = transcript.draw().unwrap();
// Run the sumcheck protocol
// Given r_sum_check and claim, we create a Claim with the GKR composer and then call the generic sum-check verifier
let reduced_claim = claim.0 + claim.1 * r_sum_check;
// Create vanilla oracle
let oracle = gen_plain_gkr_oracle(num_rounds, r_sum_check);
// Create sum-check claim
let transformed_claim = Claim {
sum_value: reduced_claim,
polynomial: oracle,
};
let reduced_gkr_claim =
sum_check_verify_and_reduce(&transformed_claim, self.proof.clone(), transcript);
(reduced_gkr_claim, r_sum_check)
}
}
#[derive(Debug)]
pub struct GkrClaim<E: FieldElement + 'static> {
evaluation_point: Vec<E>,
claimed_evaluation: (E, E),
}
#[derive(Debug)]
pub struct CircuitProof<E: FieldElement + 'static> {
pub proof: Vec<LayerProof<E>>,
}
impl<E: FieldElement<BaseField = BaseElement> + 'static> CircuitProof<E> {
pub fn prove<
C: RandomCoin<Hasher = H, BaseField = BaseElement>,
H: ElementHasher<BaseField = BaseElement>,
>(
circuit: &mut FractionalSumCircuit<E>,
transcript: &mut C,
) -> (Self, Vec<E>, Vec<Vec<E>>) {
let mut proof_layers: Vec<LayerProof<E>> = Vec::new();
let num_layers = circuit.p_0_vec.len();
let data = vec![
circuit.p_1_vec[num_layers - 1][0],
circuit.p_0_vec[num_layers - 1][0],
circuit.q_1_vec[num_layers - 1][0],
circuit.q_0_vec[num_layers - 1][0],
];
transcript.reseed(H::hash_elements(&data));
// Challenge to reduce p1, p0, q1, q0 to pr, qr
let r_cord = transcript.draw().unwrap();
// Compute the (2-to-1 folded) claim
let mut claim = circuit.evaluate(r_cord);
let mut all_rand = Vec::new();
let mut rand = Vec::new();
rand.push(r_cord);
for layer_id in (0..num_layers - 1).rev() {
let len = circuit.p_0_vec[layer_id].len();
// Construct the Lagrange kernel evaluated at previous GKR round randomness.
// TODO: Treat the direction of doing sum-check more robustly.
let mut rand_reversed = rand.clone();
rand_reversed.reverse();
let eq_evals = EqPolynomial::new(rand_reversed.clone()).evaluations();
let mut poly_x = MultiLinear::from_values(&eq_evals);
assert_eq!(poly_x.len(), len);
let num_rounds = poly_x.len().ilog2() as usize;
// 1. A is a polynomial containing the evaluations `p_1`.
// 2. B is a polynomial containing the evaluations `p_0`.
// 3. C is a polynomial containing the evaluations `q_1`.
// 4. D is a polynomial containing the evaluations `q_0`.
let poly_a: &mut MultiLinear<E>;
let poly_b: &mut MultiLinear<E>;
let poly_c: &mut MultiLinear<E>;
let poly_d: &mut MultiLinear<E>;
poly_a = &mut circuit.p_1_vec[layer_id];
poly_b = &mut circuit.p_0_vec[layer_id];
poly_c = &mut circuit.q_1_vec[layer_id];
poly_d = &mut circuit.q_0_vec[layer_id];
let poly_vec_par = (poly_a, poly_b, poly_c, poly_d, &mut poly_x);
// The (non-linear) polynomial combining the multilinear polynomials
let comb_func = |a: &E, b: &E, c: &E, d: &E, x: &E, rho: &E| -> E {
(*a * *d + *b * *c + *rho * *c * *d) * *x
};
// Run the sumcheck protocol
let (proof, rand_sumcheck, claims_sum) = sum_check_prover_gkr_before_last::<E, _, _>(
claim,
num_rounds,
poly_vec_par,
comb_func,
transcript,
);
let (claims_sum_p1, claims_sum_p0, claims_sum_q1, claims_sum_q0, _claims_eq) =
claims_sum;
let data = vec![claims_sum_p1, claims_sum_p0, claims_sum_q1, claims_sum_q0];
transcript.reseed(H::hash_elements(&data));
// Produce a random challenge to condense claims into a single claim
let r_layer = transcript.draw().unwrap();
claim = (
claims_sum_p1 + r_layer * (claims_sum_p0 - claims_sum_p1),
claims_sum_q1 + r_layer * (claims_sum_q0 - claims_sum_q1),
);
// Collect the randomness used for the current layer in order to construct the random
// point where the input multilinear polynomials were evaluated.
let mut ext = rand_sumcheck;
ext.push(r_layer);
all_rand.push(rand);
rand = ext;
proof_layers.push(LayerProof {
proof,
claims_sum_p1,
claims_sum_p0,
claims_sum_q1,
claims_sum_q0,
});
}
(CircuitProof { proof: proof_layers }, rand, all_rand)
}
pub fn prove_virtual_bus<
C: RandomCoin<Hasher = H, BaseField = BaseElement>,
H: ElementHasher<BaseField = BaseElement>,
>(
composition_polys: Vec<Vec<Arc<dyn CompositionPolynomial<E>>>>,
mls: &mut Vec<MultiLinear<E>>,
transcript: &mut C,
) -> (Vec<E>, Self, super::sumcheck::FullProof<E>) {
let num_evaluations = 1 << mls[0].num_variables();
// I) Evaluate the numerators and denominators over the boolean hyper-cube
let mut num_den: Vec<Vec<E>> = vec![vec![]; 4];
for i in 0..num_evaluations {
for j in 0..4 {
let query: Vec<E> = mls.iter().map(|ml| ml[i]).collect();
composition_polys[j].iter().for_each(|c| {
let evaluation = c.as_ref().evaluate(&query);
num_den[j].push(evaluation);
});
}
}
// II) Evaluate the GKR fractional sum circuit
let input: Vec<MultiLinear<E>> =
(0..4).map(|i| MultiLinear::from_values(&num_den[i])).collect();
let mut circuit = FractionalSumCircuit::new_(&input);
// III) Run the GKR prover for all layers except the last one
let (gkr_proofs, GkrClaim { evaluation_point, claimed_evaluation }) =
CircuitProof::prove_before_final(&mut circuit, transcript);
// IV) Run the sum-check prover for the last GKR layer counting backwards i.e., first layer
// in the circuit.
// 1) Build the EQ polynomial (Lagrange kernel) at the randomness sampled during the previous
// sum-check protocol run
let mut rand_reversed = evaluation_point.clone();
rand_reversed.reverse();
let eq_evals = EqPolynomial::new(rand_reversed.clone()).evaluations();
let poly_x = MultiLinear::from_values(&eq_evals);
// 2) Add the Lagrange kernel to the list of MLs
mls.push(poly_x);
// 3) Absorb the final sum-check claims and generate randomness for 2-to-1 sum-check reduction
let data = vec![claimed_evaluation.0, claimed_evaluation.1];
transcript.reseed(H::hash_elements(&data));
// Squeeze challenge to reduce two sumchecks to one
let r_sum_check = transcript.draw().unwrap();
let reduced_claim = claimed_evaluation.0 + claimed_evaluation.1 * r_sum_check;
// 4) Create the composed ML representing the numerators and denominators of the topmost GKR layer
let gkr_final_composed_ml = gkr_composition_from_composition_polys(
&composition_polys,
r_sum_check,
1 << mls[0].num_variables,
);
let composed_ml =
ComposedMultiLinears::new(Arc::new(gkr_final_composed_ml.clone()), mls.to_vec());
// 5) Create the composed ML oracle. This will be used for verifying the FinalEvaluationClaim downstream
// TODO: This should be an input to the current function.
// TODO: Make MultiLinearOracle a variant in an enum so that it is possible to capture other types of oracles.
// For example, shifts of polynomials, Lagrange kernels at a random point or periodic (transparent) polynomials.
let left_num_oracle = MultiLinearOracle { id: 0 };
let right_num_oracle = MultiLinearOracle { id: 1 };
let left_denom_oracle = MultiLinearOracle { id: 2 };
let right_denom_oracle = MultiLinearOracle { id: 3 };
let eq_oracle = MultiLinearOracle { id: 4 };
let composed_ml_oracle = ComposedMultiLinearsOracle {
composer: (Arc::new(gkr_final_composed_ml.clone())),
multi_linears: vec![
eq_oracle,
left_num_oracle,
right_num_oracle,
left_denom_oracle,
right_denom_oracle,
],
};
// 6) Create the claim for the final sum-check protocol.
let claim = Claim {
sum_value: reduced_claim,
polynomial: composed_ml_oracle.clone(),
};
// 7) Create the witness for the sum-check claim.
let witness = Witness { polynomial: composed_ml };
let output = sum_check_prove(&claim, composed_ml_oracle, witness, transcript);
// 8) Create the claimed output of the circuit.
let circuit_outputs = vec![
circuit.p_1_vec.last().unwrap()[0],
circuit.p_0_vec.last().unwrap()[0],
circuit.q_1_vec.last().unwrap()[0],
circuit.q_0_vec.last().unwrap()[0],
];
// 9) Return:
// 1. The claimed circuit outputs.
// 2. GKR proofs of all circuit layers except the initial layer.
// 3. Output of the final sum-check protocol.
(circuit_outputs, gkr_proofs, output)
}
pub fn prove_before_final<
C: RandomCoin<Hasher = H, BaseField = BaseElement>,
H: ElementHasher<BaseField = BaseElement>,
>(
sum_circuits: &mut FractionalSumCircuit<E>,
transcript: &mut C,
) -> (Self, GkrClaim<E>) {
let mut proof_layers: Vec<LayerProof<E>> = Vec::new();
let num_layers = sum_circuits.p_0_vec.len();
let data = vec![
sum_circuits.p_1_vec[num_layers - 1][0],
sum_circuits.p_0_vec[num_layers - 1][0],
sum_circuits.q_1_vec[num_layers - 1][0],
sum_circuits.q_0_vec[num_layers - 1][0],
];
transcript.reseed(H::hash_elements(&data));
// Challenge to reduce p1, p0, q1, q0 to pr, qr
let r_cord = transcript.draw().unwrap();
// Compute the (2-to-1 folded) claim
let mut claims_to_verify = sum_circuits.evaluate(r_cord);
let mut all_rand = Vec::new();
let mut rand = Vec::new();
rand.push(r_cord);
for layer_id in (1..num_layers - 1).rev() {
let len = sum_circuits.p_0_vec[layer_id].len();
// Construct the Lagrange kernel evaluated at previous GKR round randomness.
// TODO: Treat the direction of doing sum-check more robustly.
let mut rand_reversed = rand.clone();
rand_reversed.reverse();
let eq_evals = EqPolynomial::new(rand_reversed.clone()).evaluations();
let mut poly_x = MultiLinear::from_values(&eq_evals);
assert_eq!(poly_x.len(), len);
let num_rounds = poly_x.len().ilog2() as usize;
// 1. A is a polynomial containing the evaluations `p_1`.
// 2. B is a polynomial containing the evaluations `p_0`.
// 3. C is a polynomial containing the evaluations `q_1`.
// 4. D is a polynomial containing the evaluations `q_0`.
let poly_a: &mut MultiLinear<E>;
let poly_b: &mut MultiLinear<E>;
let poly_c: &mut MultiLinear<E>;
let poly_d: &mut MultiLinear<E>;
poly_a = &mut sum_circuits.p_1_vec[layer_id];
poly_b = &mut sum_circuits.p_0_vec[layer_id];
poly_c = &mut sum_circuits.q_1_vec[layer_id];
poly_d = &mut sum_circuits.q_0_vec[layer_id];
let poly_vec = (poly_a, poly_b, poly_c, poly_d, &mut poly_x);
let claim = claims_to_verify;
// The (non-linear) polynomial combining the multilinear polynomials
let comb_func = |a: &E, b: &E, c: &E, d: &E, x: &E, rho: &E| -> E {
(*a * *d + *b * *c + *rho * *c * *d) * *x
};
// Run the sumcheck protocol
let (proof, rand_sumcheck, claims_sum) = sum_check_prover_gkr_before_last::<E, _, _>(
claim, num_rounds, poly_vec, comb_func, transcript,
);
let (claims_sum_p1, claims_sum_p0, claims_sum_q1, claims_sum_q0, _claims_eq) =
claims_sum;
let data = vec![claims_sum_p1, claims_sum_p0, claims_sum_q1, claims_sum_q0];
transcript.reseed(H::hash_elements(&data));
// Produce a random challenge to condense claims into a single claim
let r_layer = transcript.draw().unwrap();
claims_to_verify = (
claims_sum_p1 + r_layer * (claims_sum_p0 - claims_sum_p1),
claims_sum_q1 + r_layer * (claims_sum_q0 - claims_sum_q1),
);
// Collect the randomness used for the current layer in order to construct the random
// point where the input multilinear polynomials were evaluated.
let mut ext = rand_sumcheck;
ext.push(r_layer);
all_rand.push(rand);
rand = ext;
proof_layers.push(LayerProof {
proof,
claims_sum_p1,
claims_sum_p0,
claims_sum_q1,
claims_sum_q0,
});
}
let gkr_claim = GkrClaim {
evaluation_point: rand.clone(),
claimed_evaluation: claims_to_verify,
};
(CircuitProof { proof: proof_layers }, gkr_claim)
}
pub fn verify<
C: RandomCoin<Hasher = H, BaseField = BaseElement>,
H: ElementHasher<BaseField = BaseElement>,
>(
&self,
claims_sum_vec: &[E],
transcript: &mut C,
) -> ((E, E), Vec<E>) {
let num_layers = self.proof.len() as usize - 1;
let mut rand: Vec<E> = Vec::new();
let data = claims_sum_vec;
transcript.reseed(H::hash_elements(&data));
let r_cord = transcript.draw().unwrap();
let p_poly_coef = vec![claims_sum_vec[0], claims_sum_vec[1]];
let q_poly_coef = vec![claims_sum_vec[2], claims_sum_vec[3]];
let p_poly = MultiLinear::new(p_poly_coef);
let q_poly = MultiLinear::new(q_poly_coef);
let p_eval = p_poly.evaluate(&[r_cord]);
let q_eval = q_poly.evaluate(&[r_cord]);
let mut reduced_claim = (p_eval, q_eval);
rand.push(r_cord);
for (num_rounds, i) in (0..num_layers).enumerate() {
let ((claim_last, rand_sumcheck), r_two_sumchecks) = self.proof[i]
.verify_sum_check_before_last::<_, _>(reduced_claim, num_rounds + 1, transcript);
let claims_sum_p1 = &self.proof[i].claims_sum_p1;
let claims_sum_p0 = &self.proof[i].claims_sum_p0;
let claims_sum_q1 = &self.proof[i].claims_sum_q1;
let claims_sum_q0 = &self.proof[i].claims_sum_q0;
let data = vec![
claims_sum_p1.clone(),
claims_sum_p0.clone(),
claims_sum_q1.clone(),
claims_sum_q0.clone(),
];
transcript.reseed(H::hash_elements(&data));
assert_eq!(rand.len(), rand_sumcheck.len());
let eq: E = (0..rand.len())
.map(|i| {
rand[i] * rand_sumcheck[i] + (E::ONE - rand[i]) * (E::ONE - rand_sumcheck[i])
})
.fold(E::ONE, |acc, term| acc * term);
let claim_expected: E = (*claims_sum_p1 * *claims_sum_q0
+ *claims_sum_p0 * *claims_sum_q1
+ r_two_sumchecks * *claims_sum_q1 * *claims_sum_q0)
* eq;
assert_eq!(claim_expected, claim_last);
// Produce a random challenge to condense claims into a single claim
let r_layer = transcript.draw().unwrap();
reduced_claim = (
*claims_sum_p1 + r_layer * (*claims_sum_p0 - *claims_sum_p1),
*claims_sum_q1 + r_layer * (*claims_sum_q0 - *claims_sum_q1),
);
// Collect the randomness' used for the current layer in order to construct the random
// point where the input multilinear polynomials were evaluated.
let mut ext = rand_sumcheck;
ext.push(r_layer);
rand = ext;
}
(reduced_claim, rand)
}
pub fn verify_virtual_bus<
C: RandomCoin<Hasher = H, BaseField = BaseElement>,
H: ElementHasher<BaseField = BaseElement>,
>(
&self,
composition_polys: Vec<Vec<Arc<dyn CompositionPolynomial<E>>>>,
final_layer_proof: super::sumcheck::FullProof<E>,
claims_sum_vec: &[E],
transcript: &mut C,
) -> (FinalEvaluationClaim<E>, Vec<E>) {
let num_layers = self.proof.len() as usize;
let mut rand: Vec<E> = Vec::new();
// Check that a/b + d/e is equal to 0
assert_ne!(claims_sum_vec[2], E::ZERO);
assert_ne!(claims_sum_vec[3], E::ZERO);
assert_eq!(
claims_sum_vec[0] * claims_sum_vec[3] + claims_sum_vec[1] * claims_sum_vec[2],
E::ZERO
);
let data = claims_sum_vec;
transcript.reseed(H::hash_elements(&data));
let r_cord = transcript.draw().unwrap();
let p_poly_coef = vec![claims_sum_vec[0], claims_sum_vec[1]];
let q_poly_coef = vec![claims_sum_vec[2], claims_sum_vec[3]];
let p_poly = MultiLinear::new(p_poly_coef);
let q_poly = MultiLinear::new(q_poly_coef);
let p_eval = p_poly.evaluate(&[r_cord]);
let q_eval = q_poly.evaluate(&[r_cord]);
let mut reduced_claim = (p_eval, q_eval);
// I) Verify all GKR layers but for the last one counting backwards.
rand.push(r_cord);
for (num_rounds, i) in (0..num_layers).enumerate() {
let ((claim_last, rand_sumcheck), r_two_sumchecks) = self.proof[i]
.verify_sum_check_before_last::<_, _>(reduced_claim, num_rounds + 1, transcript);
let claims_sum_p1 = &self.proof[i].claims_sum_p1;
let claims_sum_p0 = &self.proof[i].claims_sum_p0;
let claims_sum_q1 = &self.proof[i].claims_sum_q1;
let claims_sum_q0 = &self.proof[i].claims_sum_q0;
let data = vec![
claims_sum_p1.clone(),
claims_sum_p0.clone(),
claims_sum_q1.clone(),
claims_sum_q0.clone(),
];
transcript.reseed(H::hash_elements(&data));
assert_eq!(rand.len(), rand_sumcheck.len());
let eq: E = (0..rand.len())
.map(|i| {
rand[i] * rand_sumcheck[i] + (E::ONE - rand[i]) * (E::ONE - rand_sumcheck[i])
})
.fold(E::ONE, |acc, term| acc * term);
let claim_expected: E = (*claims_sum_p1 * *claims_sum_q0
+ *claims_sum_p0 * *claims_sum_q1
+ r_two_sumchecks * *claims_sum_q1 * *claims_sum_q0)
* eq;
assert_eq!(claim_expected, claim_last);
// Produce a random challenge to condense claims into a single claim
let r_layer = transcript.draw().unwrap();
reduced_claim = (
*claims_sum_p1 + r_layer * (*claims_sum_p0 - *claims_sum_p1),
*claims_sum_q1 + r_layer * (*claims_sum_q0 - *claims_sum_q1),
);
let mut ext = rand_sumcheck;
ext.push(r_layer);
rand = ext;
}
// II) Verify the final GKR layer counting backwards.
// Absorb the claims
let data = vec![reduced_claim.0, reduced_claim.1];
transcript.reseed(H::hash_elements(&data));
// Squeeze challenge to reduce two sumchecks to one
let r_sum_check = transcript.draw().unwrap();
let reduced_claim = reduced_claim.0 + reduced_claim.1 * r_sum_check;
let gkr_final_composed_ml = gkr_composition_from_composition_polys(
&composition_polys,
r_sum_check,
1 << (num_layers + 1),
);
// TODO: refactor
let composed_ml_oracle = {
let left_num_oracle = MultiLinearOracle { id: 0 };
let right_num_oracle = MultiLinearOracle { id: 1 };
let left_denom_oracle = MultiLinearOracle { id: 2 };
let right_denom_oracle = MultiLinearOracle { id: 3 };
let eq_oracle = MultiLinearOracle { id: 4 };
ComposedMultiLinearsOracle {
composer: (Arc::new(gkr_final_composed_ml.clone())),
multi_linears: vec![
eq_oracle,
left_num_oracle,
right_num_oracle,
left_denom_oracle,
right_denom_oracle,
],
}
};
let claim = Claim {
sum_value: reduced_claim,
polynomial: composed_ml_oracle.clone(),
};
let final_eval_claim = sum_check_verify(&claim, final_layer_proof, transcript);
(final_eval_claim, rand)
}
}
fn sum_check_prover_gkr_before_last<
E: FieldElement<BaseField = BaseElement>,
C: RandomCoin<Hasher = H, BaseField = BaseElement>,
H: ElementHasher<BaseField = BaseElement>,
>(
claim: (E, E),
num_rounds: usize,
ml_polys: (
&mut MultiLinear<E>,
&mut MultiLinear<E>,
&mut MultiLinear<E>,
&mut MultiLinear<E>,
&mut MultiLinear<E>,
),
comb_func: impl Fn(&E, &E, &E, &E, &E, &E) -> E,
transcript: &mut C,
) -> (SumcheckInstanceProof<E>, Vec<E>, (E, E, E, E, E)) {
// Absorb the claims
let data = vec![claim.0, claim.1];
transcript.reseed(H::hash_elements(&data));
// Squeeze challenge to reduce two sumchecks to one
let r_sum_check = transcript.draw().unwrap();
let (poly_a, poly_b, poly_c, poly_d, poly_x) = ml_polys;
let mut e = claim.0 + claim.1 * r_sum_check;
let mut r: Vec<E> = Vec::new();
let mut round_proofs: Vec<SumCheckRoundProof<E>> = Vec::new();
for _j in 0..num_rounds {
let evals: (E, E, E) = {
let mut eval_point_0 = E::ZERO;
let mut eval_point_2 = E::ZERO;
let mut eval_point_3 = E::ZERO;
let len = poly_a.len() / 2;
for i in 0..len {
// The interpolation formula for a linear function is:
// z * A(x) + (1 - z) * A (y)
// z * A(1) + (1 - z) * A(0)
// eval at z = 0: A(1)
eval_point_0 += comb_func(
&poly_a[i << 1],
&poly_b[i << 1],
&poly_c[i << 1],
&poly_d[i << 1],
&poly_x[i << 1],
&r_sum_check,
);
let poly_a_u = poly_a[(i << 1) + 1];
let poly_a_v = poly_a[i << 1];
let poly_b_u = poly_b[(i << 1) + 1];
let poly_b_v = poly_b[i << 1];
let poly_c_u = poly_c[(i << 1) + 1];
let poly_c_v = poly_c[i << 1];
let poly_d_u = poly_d[(i << 1) + 1];
let poly_d_v = poly_d[i << 1];
let poly_x_u = poly_x[(i << 1) + 1];
let poly_x_v = poly_x[i << 1];
// eval at z = 2: 2 * A(1) - A(0)
let poly_a_extrapolated_point = poly_a_u + poly_a_u - poly_a_v;
let poly_b_extrapolated_point = poly_b_u + poly_b_u - poly_b_v;
let poly_c_extrapolated_point = poly_c_u + poly_c_u - poly_c_v;
let poly_d_extrapolated_point = poly_d_u + poly_d_u - poly_d_v;
let poly_x_extrapolated_point = poly_x_u + poly_x_u - poly_x_v;
eval_point_2 += comb_func(
&poly_a_extrapolated_point,
&poly_b_extrapolated_point,
&poly_c_extrapolated_point,
&poly_d_extrapolated_point,
&poly_x_extrapolated_point,
&r_sum_check,
);
// eval at z = 3: 3 * A(1) - 2 * A(0) = 2 * A(1) - A(0) + A(1) - A(0)
// hence we can compute the evaluation at z + 1 from that of z for z > 1
let poly_a_extrapolated_point = poly_a_extrapolated_point + poly_a_u - poly_a_v;
let poly_b_extrapolated_point = poly_b_extrapolated_point + poly_b_u - poly_b_v;
let poly_c_extrapolated_point = poly_c_extrapolated_point + poly_c_u - poly_c_v;
let poly_d_extrapolated_point = poly_d_extrapolated_point + poly_d_u - poly_d_v;
let poly_x_extrapolated_point = poly_x_extrapolated_point + poly_x_u - poly_x_v;
eval_point_3 += comb_func(
&poly_a_extrapolated_point,
&poly_b_extrapolated_point,
&poly_c_extrapolated_point,
&poly_d_extrapolated_point,
&poly_x_extrapolated_point,
&r_sum_check,
);
}
(eval_point_0, eval_point_2, eval_point_3)
};
let eval_0 = evals.0;
let eval_2 = evals.1;
let eval_3 = evals.2;
let evals = vec![e - eval_0, eval_2, eval_3];
let compressed_poly = SumCheckRoundProof { poly_evals: evals };
// append the prover's message to the transcript
transcript.reseed(H::hash_elements(&compressed_poly.poly_evals));
// derive the verifier's challenge for the next round
let r_j = transcript.draw().unwrap();
r.push(r_j);
poly_a.bind_assign(r_j);
poly_b.bind_assign(r_j);
poly_c.bind_assign(r_j);
poly_d.bind_assign(r_j);
poly_x.bind_assign(r_j);
e = compressed_poly.evaluate(e, r_j);
round_proofs.push(compressed_poly);
}
let claims_sum = (poly_a[0], poly_b[0], poly_c[0], poly_d[0], poly_x[0]);
(SumcheckInstanceProof { round_proofs }, r, claims_sum)
}
#[cfg(test)]
mod sum_circuit_tests {
use crate::rand::RpoRandomCoin;
use super::*;
use rand::Rng;
use rand_utils::rand_value;
use BaseElement as Felt;
/// The following tests the fractional sum circuit to check that \sum_{i = 0}^{log(m)-1} m / 2^{i} = 2 * (m - 1)
#[test]
fn sum_circuit_example() {
let n = 4; // n := log(m)
let mut inp: Vec<Felt> = (0..n).map(|_| Felt::from(1_u64 << n)).collect();
let inp_: Vec<Felt> = (0..n).map(|i| Felt::from(1_u64 << i)).collect();
inp.extend(inp_.iter());
let summation = MultiLinear::new(inp);
let expected_output = Felt::from(2 * ((1_u64 << n) - 1));
let mut circuit = FractionalSumCircuit::new(&summation);
let seed = [BaseElement::ZERO; 4];
let mut transcript = RpoRandomCoin::new(seed.into());
let (proof, _evals, _) = CircuitProof::prove(&mut circuit, &mut transcript);
let (p1, q1) = circuit.evaluate(Felt::from(1_u8));
let (p0, q0) = circuit.evaluate(Felt::from(0_u8));
assert_eq!(expected_output, (p1 * q0 + q1 * p0) / (q1 * q0));
let seed = [BaseElement::ZERO; 4];
let mut transcript = RpoRandomCoin::new(seed.into());
let claims = vec![p0, p1, q0, q1];
proof.verify(&claims, &mut transcript);
}
// Test the fractional sum GKR in the context of LogUp.
#[test]
fn log_up() {
use rand::distributions::Slice;
let n: usize = 16;
let num_w: usize = 31; // This should be of the form 2^k - 1
let rng = rand::thread_rng();
let t_table: Vec<u32> = (0..(1 << n)).collect();
let mut m_table: Vec<u32> = (0..(1 << n)).map(|_| 0).collect();
let t_table_slice = Slice::new(&t_table).unwrap();
// Construct the witness columns. Uses sampling with replacement in order to have multiplicities
// different from 1.
let mut w_tables = Vec::new();
for _ in 0..num_w {
let wi_table: Vec<u32> =
rng.clone().sample_iter(&t_table_slice).cloned().take(1 << n).collect();
// Construct the multiplicities
wi_table.iter().for_each(|w| {
m_table[*w as usize] += 1;
});
w_tables.push(wi_table)
}
// The numerators
let mut p: Vec<Felt> = m_table.iter().map(|m| Felt::from(*m as u32)).collect();
p.extend((0..(num_w * (1 << n))).map(|_| Felt::from(1_u32)).collect::<Vec<Felt>>());
// Sample the challenge alpha to construct the denominators.
let alpha = rand_value();
// Construct the denominators
let mut q: Vec<Felt> = t_table.iter().map(|t| Felt::from(*t) - alpha).collect();
for w_table in w_tables {
q.extend(w_table.iter().map(|w| alpha - Felt::from(*w)).collect::<Vec<Felt>>());
}
// Build the input to the fractional sum GKR circuit
p.extend(q);
let input = p;
let summation = MultiLinear::new(input);
let expected_output = Felt::from(0_u8);
let mut circuit = FractionalSumCircuit::new(&summation);
let seed = [BaseElement::ZERO; 4];
let mut transcript = RpoRandomCoin::new(seed.into());
let (proof, _evals, _) = CircuitProof::prove(&mut circuit, &mut transcript);
let (p1, q1) = circuit.evaluate(Felt::from(1_u8));
let (p0, q0) = circuit.evaluate(Felt::from(0_u8));
assert_eq!(expected_output, (p1 * q0 + q1 * p0) / (q1 * q0)); // This check should be part of verification
let seed = [BaseElement::ZERO; 4];
let mut transcript = RpoRandomCoin::new(seed.into());
let claims = vec![p0, p1, q0, q1];
proof.verify(&claims, &mut transcript);
}
}

7
src/gkr/mod.rs Normal file
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@@ -0,0 +1,7 @@
#![allow(unused_imports)]
#![allow(dead_code)]
mod sumcheck;
mod multivariate;
mod utils;
mod circuit;

View File

@@ -0,0 +1,34 @@
use super::FieldElement;
pub struct EqPolynomial<E> {
r: Vec<E>,
}
impl<E: FieldElement> EqPolynomial<E> {
pub fn new(r: Vec<E>) -> Self {
EqPolynomial { r }
}
pub fn evaluate(&self, rho: &[E]) -> E {
assert_eq!(self.r.len(), rho.len());
(0..rho.len())
.map(|i| self.r[i] * rho[i] + (E::ONE - self.r[i]) * (E::ONE - rho[i]))
.fold(E::ONE, |acc, term| acc * term)
}
pub fn evaluations(&self) -> Vec<E> {
let nu = self.r.len();
let mut evals: Vec<E> = vec![E::ONE; 1 << nu];
let mut size = 1;
for j in 0..nu {
size *= 2;
for i in (0..size).rev().step_by(2) {
let scalar = evals[i / 2];
evals[i] = scalar * self.r[j];
evals[i - 1] = scalar - evals[i];
}
}
evals
}
}

543
src/gkr/multivariate/mod.rs Normal file
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use core::ops::Index;
use alloc::sync::Arc;
use winter_math::{fields::f64::BaseElement, log2, FieldElement, StarkField};
mod eq_poly;
pub use eq_poly::EqPolynomial;
#[derive(Clone, Debug)]
pub struct MultiLinear<E: FieldElement> {
pub num_variables: usize,
pub evaluations: Vec<E>,
}
impl<E: FieldElement> MultiLinear<E> {
pub fn new(values: Vec<E>) -> Self {
Self {
num_variables: log2(values.len()) as usize,
evaluations: values,
}
}
pub fn from_values(values: &[E]) -> Self {
Self {
num_variables: log2(values.len()) as usize,
evaluations: values.to_owned(),
}
}
pub fn num_variables(&self) -> usize {
self.num_variables
}
pub fn evaluations(&self) -> &[E] {
&self.evaluations
}
pub fn len(&self) -> usize {
self.evaluations.len()
}
pub fn evaluate(&self, query: &[E]) -> E {
let tensored_query = tensorize(query);
inner_product(&self.evaluations, &tensored_query)
}
pub fn bind(&self, round_challenge: E) -> Self {
let mut result = vec![E::ZERO; 1 << (self.num_variables() - 1)];
for i in 0..(1 << (self.num_variables() - 1)) {
result[i] = self.evaluations[i << 1]
+ round_challenge * (self.evaluations[(i << 1) + 1] - self.evaluations[i << 1]);
}
Self::from_values(&result)
}
pub fn bind_assign(&mut self, round_challenge: E) {
let mut result = vec![E::ZERO; 1 << (self.num_variables() - 1)];
for i in 0..(1 << (self.num_variables() - 1)) {
result[i] = self.evaluations[i << 1]
+ round_challenge * (self.evaluations[(i << 1) + 1] - self.evaluations[i << 1]);
}
*self = Self::from_values(&result);
}
pub fn split(&self, at: usize) -> (Self, Self) {
assert!(at < self.len());
(
Self::new(self.evaluations[..at].to_vec()),
Self::new(self.evaluations[at..2 * at].to_vec()),
)
}
pub fn extend(&mut self, other: &MultiLinear<E>) {
let other_vec = other.evaluations.to_vec();
assert_eq!(other_vec.len(), self.len());
self.evaluations.extend(other_vec);
self.num_variables += 1;
}
}
impl<E: FieldElement> Index<usize> for MultiLinear<E> {
type Output = E;
fn index(&self, index: usize) -> &E {
&(self.evaluations[index])
}
}
/// A multi-variate polynomial for composing individual multi-linear polynomials
pub trait CompositionPolynomial<E: FieldElement>: Sync + Send {
/// The number of variables when interpreted as a multi-variate polynomial.
fn num_variables(&self) -> usize;
/// Maximum degree in all variables.
fn max_degree(&self) -> usize;
/// Given a query, of length equal the number of variables, evaluate [Self] at this query.
fn evaluate(&self, query: &[E]) -> E;
}
pub struct ComposedMultiLinears<E: FieldElement> {
pub composer: Arc<dyn CompositionPolynomial<E>>,
pub multi_linears: Vec<MultiLinear<E>>,
}
impl<E: FieldElement> ComposedMultiLinears<E> {
pub fn new(
composer: Arc<dyn CompositionPolynomial<E>>,
multi_linears: Vec<MultiLinear<E>>,
) -> Self {
Self { composer, multi_linears }
}
pub fn num_ml(&self) -> usize {
self.multi_linears.len()
}
pub fn num_variables(&self) -> usize {
self.composer.num_variables()
}
pub fn num_variables_ml(&self) -> usize {
self.multi_linears[0].num_variables
}
pub fn degree(&self) -> usize {
self.composer.max_degree()
}
pub fn bind(&self, round_challenge: E) -> ComposedMultiLinears<E> {
let result: Vec<MultiLinear<E>> =
self.multi_linears.iter().map(|f| f.bind(round_challenge)).collect();
Self {
composer: self.composer.clone(),
multi_linears: result,
}
}
}
#[derive(Clone)]
pub struct ComposedMultiLinearsOracle<E: FieldElement> {
pub composer: Arc<dyn CompositionPolynomial<E>>,
pub multi_linears: Vec<MultiLinearOracle>,
}
#[derive(Debug, Clone)]
pub struct MultiLinearOracle {
pub id: usize,
}
// Composition polynomials
pub struct IdentityComposition {
num_variables: usize,
}
impl IdentityComposition {
pub fn new() -> Self {
Self { num_variables: 1 }
}
}
impl<E> CompositionPolynomial<E> for IdentityComposition
where
E: FieldElement,
{
fn num_variables(&self) -> usize {
self.num_variables
}
fn max_degree(&self) -> usize {
self.num_variables
}
fn evaluate(&self, query: &[E]) -> E {
assert_eq!(query.len(), 1);
query[0]
}
}
pub struct ProjectionComposition {
coordinate: usize,
}
impl ProjectionComposition {
pub fn new(coordinate: usize) -> Self {
Self { coordinate }
}
}
impl<E> CompositionPolynomial<E> for ProjectionComposition
where
E: FieldElement,
{
fn num_variables(&self) -> usize {
1
}
fn max_degree(&self) -> usize {
1
}
fn evaluate(&self, query: &[E]) -> E {
query[self.coordinate]
}
}
pub struct LogUpDenominatorTableComposition<E>
where
E: FieldElement,
{
projection_coordinate: usize,
alpha: E,
}
impl<E> LogUpDenominatorTableComposition<E>
where
E: FieldElement,
{
pub fn new(projection_coordinate: usize, alpha: E) -> Self {
Self { projection_coordinate, alpha }
}
}
impl<E> CompositionPolynomial<E> for LogUpDenominatorTableComposition<E>
where
E: FieldElement,
{
fn num_variables(&self) -> usize {
1
}
fn max_degree(&self) -> usize {
1
}
fn evaluate(&self, query: &[E]) -> E {
query[self.projection_coordinate] + self.alpha
}
}
pub struct LogUpDenominatorWitnessComposition<E>
where
E: FieldElement,
{
projection_coordinate: usize,
alpha: E,
}
impl<E> LogUpDenominatorWitnessComposition<E>
where
E: FieldElement,
{
pub fn new(projection_coordinate: usize, alpha: E) -> Self {
Self { projection_coordinate, alpha }
}
}
impl<E> CompositionPolynomial<E> for LogUpDenominatorWitnessComposition<E>
where
E: FieldElement,
{
fn num_variables(&self) -> usize {
1
}
fn max_degree(&self) -> usize {
1
}
fn evaluate(&self, query: &[E]) -> E {
-(query[self.projection_coordinate] + self.alpha)
}
}
pub struct ProductComposition {
num_variables: usize,
}
impl ProductComposition {
pub fn new(num_variables: usize) -> Self {
Self { num_variables }
}
}
impl<E> CompositionPolynomial<E> for ProductComposition
where
E: FieldElement,
{
fn num_variables(&self) -> usize {
self.num_variables
}
fn max_degree(&self) -> usize {
self.num_variables
}
fn evaluate(&self, query: &[E]) -> E {
query.iter().fold(E::ONE, |acc, x| acc * *x)
}
}
pub struct SumComposition {
num_variables: usize,
}
impl SumComposition {
pub fn new(num_variables: usize) -> Self {
Self { num_variables }
}
}
impl<E> CompositionPolynomial<E> for SumComposition
where
E: FieldElement,
{
fn num_variables(&self) -> usize {
self.num_variables
}
fn max_degree(&self) -> usize {
self.num_variables
}
fn evaluate(&self, query: &[E]) -> E {
query.iter().fold(E::ZERO, |acc, x| acc + *x)
}
}
pub struct GkrCompositionVanilla<E: 'static>
where
E: FieldElement,
{
num_variables_ml: usize,
num_variables_merge: usize,
combining_randomness: E,
gkr_randomness: Vec<E>,
}
impl<E> GkrCompositionVanilla<E>
where
E: FieldElement,
{
pub fn new(
num_variables_ml: usize,
num_variables_merge: usize,
combining_randomness: E,
gkr_randomness: Vec<E>,
) -> Self {
Self {
num_variables_ml,
num_variables_merge,
combining_randomness,
gkr_randomness,
}
}
}
impl<E> CompositionPolynomial<E> for GkrCompositionVanilla<E>
where
E: FieldElement,
{
fn num_variables(&self) -> usize {
self.num_variables_ml // + TODO
}
fn max_degree(&self) -> usize {
self.num_variables_ml //TODO
}
fn evaluate(&self, query: &[E]) -> E {
let eval_left_numerator = query[0];
let eval_right_numerator = query[1];
let eval_left_denominator = query[2];
let eval_right_denominator = query[3];
let eq_eval = query[4];
eq_eval
* ((eval_left_numerator * eval_right_denominator
+ eval_right_numerator * eval_left_denominator)
+ eval_left_denominator * eval_right_denominator * self.combining_randomness)
}
}
#[derive(Clone)]
pub struct GkrComposition<E>
where
E: FieldElement<BaseField = BaseElement>,
{
pub num_variables_ml: usize,
pub combining_randomness: E,
eq_composer: Arc<dyn CompositionPolynomial<E>>,
right_numerator_composer: Vec<Arc<dyn CompositionPolynomial<E>>>,
left_numerator_composer: Vec<Arc<dyn CompositionPolynomial<E>>>,
right_denominator_composer: Vec<Arc<dyn CompositionPolynomial<E>>>,
left_denominator_composer: Vec<Arc<dyn CompositionPolynomial<E>>>,
}
impl<E> GkrComposition<E>
where
E: FieldElement<BaseField = BaseElement>,
{
pub fn new(
num_variables_ml: usize,
combining_randomness: E,
eq_composer: Arc<dyn CompositionPolynomial<E>>,
right_numerator_composer: Vec<Arc<dyn CompositionPolynomial<E>>>,
left_numerator_composer: Vec<Arc<dyn CompositionPolynomial<E>>>,
right_denominator_composer: Vec<Arc<dyn CompositionPolynomial<E>>>,
left_denominator_composer: Vec<Arc<dyn CompositionPolynomial<E>>>,
) -> Self {
Self {
num_variables_ml,
combining_randomness,
eq_composer,
right_numerator_composer,
left_numerator_composer,
right_denominator_composer,
left_denominator_composer,
}
}
}
impl<E> CompositionPolynomial<E> for GkrComposition<E>
where
E: FieldElement<BaseField = BaseElement>,
{
fn num_variables(&self) -> usize {
self.num_variables_ml // + TODO
}
fn max_degree(&self) -> usize {
3 // TODO
}
fn evaluate(&self, query: &[E]) -> E {
let eval_right_numerator = self.right_numerator_composer[0].evaluate(query);
let eval_left_numerator = self.left_numerator_composer[0].evaluate(query);
let eval_right_denominator = self.right_denominator_composer[0].evaluate(query);
let eval_left_denominator = self.left_denominator_composer[0].evaluate(query);
let eq_eval = self.eq_composer.evaluate(query);
let res = eq_eval
* ((eval_left_numerator * eval_right_denominator
+ eval_right_numerator * eval_left_denominator)
+ eval_left_denominator * eval_right_denominator * self.combining_randomness);
res
}
}
/// Generates a composed ML polynomial for the initial GKR layer from a vector of composition
/// polynomials.
/// The composition polynomials are divided into LeftNumerator, RightNumerator, LeftDenominator
/// and RightDenominator.
/// TODO: Generalize this to the case where each numerator/denominator contains more than one
/// composition polynomial i.e., a merged composed ML polynomial.
pub fn gkr_composition_from_composition_polys<
E: FieldElement<BaseField = BaseElement> + 'static,
>(
composition_polys: &Vec<Vec<Arc<dyn CompositionPolynomial<E>>>>,
combining_randomness: E,
num_variables: usize,
) -> GkrComposition<E> {
let eq_composer = Arc::new(ProjectionComposition::new(4));
let left_numerator = composition_polys[0].to_owned();
let right_numerator = composition_polys[1].to_owned();
let left_denominator = composition_polys[2].to_owned();
let right_denominator = composition_polys[3].to_owned();
GkrComposition::new(
num_variables,
combining_randomness,
eq_composer,
right_numerator,
left_numerator,
right_denominator,
left_denominator,
)
}
/// Generates a plain oracle for the sum-check protocol except the final one.
pub fn gen_plain_gkr_oracle<E: FieldElement<BaseField = BaseElement> + 'static>(
num_rounds: usize,
r_sum_check: E,
) -> ComposedMultiLinearsOracle<E> {
let gkr_composer = Arc::new(GkrCompositionVanilla::new(num_rounds, 0, r_sum_check, vec![]));
let ml_oracles = vec![
MultiLinearOracle { id: 0 },
MultiLinearOracle { id: 1 },
MultiLinearOracle { id: 2 },
MultiLinearOracle { id: 3 },
MultiLinearOracle { id: 4 },
];
let oracle = ComposedMultiLinearsOracle {
composer: gkr_composer,
multi_linears: ml_oracles,
};
oracle
}
fn to_index<E: FieldElement<BaseField = BaseElement>>(index: &[E]) -> usize {
let res = index.iter().fold(E::ZERO, |acc, term| acc * E::ONE.double() + (*term));
let res = res.base_element(0);
res.as_int() as usize
}
fn inner_product<E: FieldElement>(evaluations: &[E], tensored_query: &[E]) -> E {
assert_eq!(evaluations.len(), tensored_query.len());
evaluations
.iter()
.zip(tensored_query.iter())
.fold(E::ZERO, |acc, (x_i, y_i)| acc + *x_i * *y_i)
}
pub fn tensorize<E: FieldElement>(query: &[E]) -> Vec<E> {
let nu = query.len();
let n = 1 << nu;
(0..n).map(|i| lagrange_basis_eval(query, i)).collect()
}
fn lagrange_basis_eval<E: FieldElement>(query: &[E], i: usize) -> E {
query
.iter()
.enumerate()
.map(|(j, x_j)| if i & (1 << j) == 0 { E::ONE - *x_j } else { *x_j })
.fold(E::ONE, |acc, v| acc * v)
}
pub fn compute_claim<E: FieldElement>(poly: &ComposedMultiLinears<E>) -> E {
let cube_size = 1 << poly.num_variables_ml();
let mut res = E::ZERO;
for i in 0..cube_size {
let eval_point: Vec<E> =
poly.multi_linears.iter().map(|poly| poly.evaluations[i]).collect();
res += poly.composer.evaluate(&eval_point);
}
res
}

108
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@@ -0,0 +1,108 @@
use super::{
multivariate::{ComposedMultiLinears, ComposedMultiLinearsOracle},
utils::{barycentric_weights, evaluate_barycentric},
};
use winter_math::FieldElement;
mod prover;
pub use prover::sum_check_prove;
mod verifier;
pub use verifier::{sum_check_verify, sum_check_verify_and_reduce};
mod tests;
#[derive(Debug, Clone)]
pub struct RoundProof<E> {
pub poly_evals: Vec<E>,
}
impl<E: FieldElement> RoundProof<E> {
pub fn to_evals(&self, claim: E) -> Vec<E> {
let mut result = vec![];
// s(0) + s(1) = claim
let c0 = claim - self.poly_evals[0];
result.push(c0);
result.extend_from_slice(&self.poly_evals);
result
}
// TODO: refactor once we move to coefficient form
pub(crate) fn evaluate(&self, claim: E, r: E) -> E {
let poly_evals = self.to_evals(claim);
let points: Vec<E> = (0..poly_evals.len()).map(|i| E::from(i as u8)).collect();
let evalss: Vec<(E, E)> =
points.iter().zip(poly_evals.iter()).map(|(x, y)| (*x, *y)).collect();
let weights = barycentric_weights(&evalss);
let new_claim = evaluate_barycentric(&evalss, r, &weights);
new_claim
}
}
#[derive(Debug, Clone)]
pub struct PartialProof<E> {
pub round_proofs: Vec<RoundProof<E>>,
}
#[derive(Clone)]
pub struct FinalEvaluationClaim<E: FieldElement> {
pub evaluation_point: Vec<E>,
pub claimed_evaluation: E,
pub polynomial: ComposedMultiLinearsOracle<E>,
}
#[derive(Clone)]
pub struct FullProof<E: FieldElement> {
pub sum_check_proof: PartialProof<E>,
pub final_evaluation_claim: FinalEvaluationClaim<E>,
}
pub struct Claim<E: FieldElement> {
pub sum_value: E,
pub polynomial: ComposedMultiLinearsOracle<E>,
}
#[derive(Debug)]
pub struct RoundClaim<E: FieldElement> {
pub partial_eval_point: Vec<E>,
pub current_claim: E,
}
pub struct RoundOutput<E: FieldElement> {
proof: PartialProof<E>,
witness: Witness<E>,
}
impl<E: FieldElement> From<Claim<E>> for RoundClaim<E> {
fn from(value: Claim<E>) -> Self {
Self {
partial_eval_point: vec![],
current_claim: value.sum_value,
}
}
}
pub struct Witness<E: FieldElement> {
pub(crate) polynomial: ComposedMultiLinears<E>,
}
pub fn reduce_claim<E: FieldElement>(
current_poly: RoundProof<E>,
current_round_claim: RoundClaim<E>,
round_challenge: E,
) -> RoundClaim<E> {
let poly_evals = current_poly.to_evals(current_round_claim.current_claim);
let points: Vec<E> = (0..poly_evals.len()).map(|i| E::from(i as u8)).collect();
let evalss: Vec<(E, E)> = points.iter().zip(poly_evals.iter()).map(|(x, y)| (*x, *y)).collect();
let weights = barycentric_weights(&evalss);
let new_claim = evaluate_barycentric(&evalss, round_challenge, &weights);
let mut new_partial_eval_point = current_round_claim.partial_eval_point;
new_partial_eval_point.push(round_challenge);
RoundClaim {
partial_eval_point: new_partial_eval_point,
current_claim: new_claim,
}
}

109
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@@ -0,0 +1,109 @@
use super::{Claim, FullProof, RoundProof, Witness};
use crate::gkr::{
multivariate::{ComposedMultiLinears, ComposedMultiLinearsOracle},
sumcheck::{reduce_claim, FinalEvaluationClaim, PartialProof, RoundClaim, RoundOutput},
};
use rayon::iter::{IntoParallelIterator, ParallelIterator};
use winter_crypto::{ElementHasher, RandomCoin};
use winter_math::{fields::f64::BaseElement, FieldElement};
pub fn sum_check_prove<
E: FieldElement<BaseField = BaseElement>,
C: RandomCoin<Hasher = H, BaseField = BaseElement>,
H: ElementHasher<BaseField = BaseElement>,
>(
claim: &Claim<E>,
oracle: ComposedMultiLinearsOracle<E>,
witness: Witness<E>,
coin: &mut C,
) -> FullProof<E> {
// Setup first round
let mut prev_claim = RoundClaim {
partial_eval_point: vec![],
current_claim: claim.sum_value.clone(),
};
let prev_proof = PartialProof { round_proofs: vec![] };
let num_vars = witness.polynomial.num_variables_ml();
let prev_output = RoundOutput { proof: prev_proof, witness };
let mut output = sumcheck_round(prev_output);
let poly_evals = &output.proof.round_proofs[0].poly_evals;
coin.reseed(H::hash_elements(&poly_evals));
for i in 1..num_vars {
let round_challenge = coin.draw().unwrap();
let new_claim = reduce_claim(
output.proof.round_proofs.last().unwrap().clone(),
prev_claim,
round_challenge,
);
output.witness.polynomial = output.witness.polynomial.bind(round_challenge);
output = sumcheck_round(output);
prev_claim = new_claim;
let poly_evals = &output.proof.round_proofs[i].poly_evals;
coin.reseed(H::hash_elements(&poly_evals));
}
let round_challenge = coin.draw().unwrap();
let RoundClaim { partial_eval_point, current_claim } = reduce_claim(
output.proof.round_proofs.last().unwrap().clone(),
prev_claim,
round_challenge,
);
let final_eval_claim = FinalEvaluationClaim {
evaluation_point: partial_eval_point,
claimed_evaluation: current_claim,
polynomial: oracle,
};
FullProof {
sum_check_proof: output.proof,
final_evaluation_claim: final_eval_claim,
}
}
fn sumcheck_round<E: FieldElement>(prev_proof: RoundOutput<E>) -> RoundOutput<E> {
let RoundOutput { mut proof, witness } = prev_proof;
let polynomial = witness.polynomial;
let num_ml = polynomial.num_ml();
let num_vars = polynomial.num_variables_ml();
let num_rounds = num_vars - 1;
let mut evals_zero = vec![E::ZERO; num_ml];
let mut evals_one = vec![E::ZERO; num_ml];
let mut deltas = vec![E::ZERO; num_ml];
let mut evals_x = vec![E::ZERO; num_ml];
let total_evals = (0..1 << num_rounds).into_iter().map(|i| {
for (j, ml) in polynomial.multi_linears.iter().enumerate() {
evals_zero[j] = ml.evaluations[(i << 1) as usize];
evals_one[j] = ml.evaluations[(i << 1) + 1];
}
let mut total_evals = vec![E::ZERO; polynomial.degree()];
total_evals[0] = polynomial.composer.evaluate(&evals_one);
evals_zero
.iter()
.zip(evals_one.iter().zip(deltas.iter_mut().zip(evals_x.iter_mut())))
.for_each(|(a0, (a1, (delta, evx)))| {
*delta = *a1 - *a0;
*evx = *a1;
});
total_evals.iter_mut().skip(1).for_each(|e| {
evals_x.iter_mut().zip(deltas.iter()).for_each(|(evx, delta)| {
*evx += *delta;
});
*e = polynomial.composer.evaluate(&evals_x);
});
total_evals
});
let evaluations = total_evals.fold(vec![E::ZERO; polynomial.degree()], |mut acc, evals| {
acc.iter_mut().zip(evals.iter()).for_each(|(a, ev)| *a += *ev);
acc
});
let proof_update = RoundProof { poly_evals: evaluations };
proof.round_proofs.push(proof_update);
RoundOutput { proof, witness: Witness { polynomial } }
}

199
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@@ -0,0 +1,199 @@
use alloc::sync::Arc;
use rand::{distributions::Uniform, SeedableRng};
use winter_crypto::RandomCoin;
use winter_math::{fields::f64::BaseElement, FieldElement};
use crate::{
gkr::{
circuit::{CircuitProof, FractionalSumCircuit},
multivariate::{
compute_claim, gkr_composition_from_composition_polys, ComposedMultiLinears,
ComposedMultiLinearsOracle, CompositionPolynomial, EqPolynomial, GkrComposition,
GkrCompositionVanilla, LogUpDenominatorTableComposition,
LogUpDenominatorWitnessComposition, MultiLinear, MultiLinearOracle,
ProjectionComposition, SumComposition,
},
sumcheck::{
prover::sum_check_prove, verifier::sum_check_verify, Claim, FinalEvaluationClaim,
FullProof, Witness,
},
},
hash::rpo::Rpo256,
rand::RpoRandomCoin,
};
#[test]
fn gkr_workflow() {
// generate the data witness for the LogUp argument
let mut mls = generate_logup_witness::<BaseElement>(3);
// the is sampled after receiving the main trace commitment
let alpha = rand_utils::rand_value();
// the composition polynomials defining the numerators/denominators
let composition_polys: Vec<Vec<Arc<dyn CompositionPolynomial<BaseElement>>>> = vec![
// left num
vec![Arc::new(ProjectionComposition::new(0))],
// right num
vec![Arc::new(ProjectionComposition::new(1))],
// left den
vec![Arc::new(LogUpDenominatorTableComposition::new(2, alpha))],
// right den
vec![Arc::new(LogUpDenominatorWitnessComposition::new(3, alpha))],
];
// run the GKR prover to obtain:
// 1. The fractional sum circuit output.
// 2. GKR proofs up to the last circuit layer counting backwards.
// 3. GKR proof (i.e., a sum-check proof) for the last circuit layer counting backwards.
let seed = [BaseElement::ZERO; 4];
let mut transcript = RpoRandomCoin::new(seed.into());
let (circuit_outputs, gkr_before_last_proof, final_layer_proof) =
CircuitProof::prove_virtual_bus(composition_polys.clone(), &mut mls, &mut transcript);
let seed = [BaseElement::ZERO; 4];
let mut transcript = RpoRandomCoin::new(seed.into());
// run the GKR verifier to obtain:
// 1. A final evaluation claim.
// 2. Randomness defining the Lagrange kernel in the final sum-check protocol. Note that this
// Lagrange kernel is different from the one used by the STARK (outer) prover to open the MLs
// at the evaluation point.
let (final_eval_claim, gkr_lagrange_kernel_rand) = gkr_before_last_proof.verify_virtual_bus(
composition_polys.clone(),
final_layer_proof,
&circuit_outputs,
&mut transcript,
);
// the final verification step is composed of:
// 1. Querying the oracles for the openings at the evaluation point. This will be done by the
// (outer) STARK prover using:
// a. The Lagrange kernel (auxiliary) column at the evaluation point.
// b. An extra (auxiliary) column to compute an inner product between two vectors. The first
// being the Lagrange kernel and the second being (\sum_{j=0}^3 mls[j][i] * \lambda_i)_{i\in\{0,..,n\}}
// 2. Evaluating the composition polynomial at the previous openings and checking equality with
// the claimed evaluation.
// 1. Querying the oracles
let FinalEvaluationClaim {
evaluation_point,
claimed_evaluation,
polynomial,
} = final_eval_claim;
// The evaluation of the EQ polynomial can be done by the verifier directly
let eq = (0..gkr_lagrange_kernel_rand.len())
.map(|i| {
gkr_lagrange_kernel_rand[i] * evaluation_point[i]
+ (BaseElement::ONE - gkr_lagrange_kernel_rand[i])
* (BaseElement::ONE - evaluation_point[i])
})
.fold(BaseElement::ONE, |acc, term| acc * term);
// These are the queries to the oracles.
// They should be provided by the prover non-deterministically
let left_num_eval = mls[0].evaluate(&evaluation_point);
let right_num_eval = mls[1].evaluate(&evaluation_point);
let left_den_eval = mls[2].evaluate(&evaluation_point);
let right_den_eval = mls[3].evaluate(&evaluation_point);
// The verifier absorbs the claimed openings and generates batching randomness lambda
let mut query = vec![left_num_eval, right_num_eval, left_den_eval, right_den_eval];
transcript.reseed(Rpo256::hash_elements(&query));
let lambdas: Vec<BaseElement> = vec![
transcript.draw().unwrap(),
transcript.draw().unwrap(),
transcript.draw().unwrap(),
];
let batched_query =
query[0] + query[1] * lambdas[0] + query[2] * lambdas[1] + query[3] * lambdas[2];
// The prover generates the Lagrange kernel as an auxiliary column
let mut rev_evaluation_point = evaluation_point;
rev_evaluation_point.reverse();
let lagrange_kernel = EqPolynomial::new(rev_evaluation_point).evaluations();
// The prover generates the additional auxiliary column for the inner product
let tmp_col: Vec<BaseElement> = (0..mls[0].len())
.map(|i| {
mls[0][i] + mls[1][i] * lambdas[0] + mls[2][i] * lambdas[1] + mls[3][i] * lambdas[2]
})
.collect();
let mut running_sum_col = vec![BaseElement::ZERO; tmp_col.len() + 1];
running_sum_col[0] = BaseElement::ZERO;
for i in 1..(tmp_col.len() + 1) {
running_sum_col[i] = running_sum_col[i - 1] + tmp_col[i - 1] * lagrange_kernel[i - 1];
}
// Boundary constraint to check correctness of openings
assert_eq!(batched_query, *running_sum_col.last().unwrap());
// 2) Final evaluation and check
query.push(eq);
let verifier_computed = polynomial.composer.evaluate(&query);
assert_eq!(verifier_computed, claimed_evaluation);
}
pub fn generate_logup_witness<E: FieldElement>(trace_len: usize) -> Vec<MultiLinear<E>> {
let num_variables_ml = trace_len;
let num_evaluations = 1 << num_variables_ml;
let num_witnesses = 1;
let (p, q) = generate_logup_data::<E>(num_variables_ml, num_witnesses);
let numerators: Vec<Vec<E>> = p.chunks(num_evaluations).map(|x| x.into()).collect();
let denominators: Vec<Vec<E>> = q.chunks(num_evaluations).map(|x| x.into()).collect();
let mut mls = vec![];
for i in 0..2 {
let ml = MultiLinear::from_values(&numerators[i]);
mls.push(ml);
}
for i in 0..2 {
let ml = MultiLinear::from_values(&denominators[i]);
mls.push(ml);
}
mls
}
pub fn generate_logup_data<E: FieldElement>(
trace_len: usize,
num_witnesses: usize,
) -> (Vec<E>, Vec<E>) {
use rand::distributions::Slice;
use rand::Rng;
let n: usize = trace_len;
let num_w: usize = num_witnesses; // This should be of the form 2^k - 1
let rng = rand::rngs::StdRng::seed_from_u64(0);
let t_table: Vec<u32> = (0..(1 << n)).collect();
let mut m_table: Vec<u32> = (0..(1 << n)).map(|_| 0).collect();
let t_table_slice = Slice::new(&t_table).unwrap();
// Construct the witness columns. Uses sampling with replacement in order to have multiplicities
// different from 1.
let mut w_tables = Vec::new();
for _ in 0..num_w {
let wi_table: Vec<u32> =
rng.clone().sample_iter(&t_table_slice).cloned().take(1 << n).collect();
// Construct the multiplicities
wi_table.iter().for_each(|w| {
m_table[*w as usize] += 1;
});
w_tables.push(wi_table)
}
// The numerators
let mut p: Vec<E> = m_table.iter().map(|m| E::from(*m as u32)).collect();
p.extend((0..(num_w * (1 << n))).map(|_| E::from(1_u32)).collect::<Vec<E>>());
// Construct the denominators
let mut q: Vec<E> = t_table.iter().map(|t| E::from(*t)).collect();
for w_table in w_tables {
q.extend(w_table.iter().map(|w| E::from(*w)).collect::<Vec<E>>());
}
(p, q)
}

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@@ -0,0 +1,71 @@
use winter_crypto::{ElementHasher, RandomCoin};
use winter_math::{fields::f64::BaseElement, FieldElement};
use crate::gkr::utils::{barycentric_weights, evaluate_barycentric};
use super::{Claim, FinalEvaluationClaim, FullProof, PartialProof};
pub fn sum_check_verify_and_reduce<
E: FieldElement<BaseField = BaseElement>,
C: RandomCoin<Hasher = H, BaseField = BaseElement>,
H: ElementHasher<BaseField = BaseElement>,
>(
claim: &Claim<E>,
proofs: PartialProof<E>,
coin: &mut C,
) -> (E, Vec<E>) {
let degree = 3;
let points: Vec<E> = (0..degree + 1).map(|x| E::from(x as u8)).collect();
let mut sum_value = claim.sum_value.clone();
let mut randomness = vec![];
for proof in proofs.round_proofs {
let partial_evals = proof.poly_evals.clone();
coin.reseed(H::hash_elements(&partial_evals));
// get r
let r: E = coin.draw().unwrap();
randomness.push(r);
let evals = proof.to_evals(sum_value);
let point_evals: Vec<_> = points.iter().zip(evals.iter()).map(|(x, y)| (*x, *y)).collect();
let weights = barycentric_weights(&point_evals);
sum_value = evaluate_barycentric(&point_evals, r, &weights);
}
(sum_value, randomness)
}
pub fn sum_check_verify<
E: FieldElement<BaseField = BaseElement>,
C: RandomCoin<Hasher = H, BaseField = BaseElement>,
H: ElementHasher<BaseField = BaseElement>,
>(
claim: &Claim<E>,
proofs: FullProof<E>,
coin: &mut C,
) -> FinalEvaluationClaim<E> {
let FullProof {
sum_check_proof: proofs,
final_evaluation_claim,
} = proofs;
let Claim { mut sum_value, polynomial } = claim;
let degree = polynomial.composer.max_degree();
let points: Vec<E> = (0..degree + 1).map(|x| E::from(x as u8)).collect();
for proof in proofs.round_proofs {
let partial_evals = proof.poly_evals.clone();
coin.reseed(H::hash_elements(&partial_evals));
// get r
let r: E = coin.draw().unwrap();
let evals = proof.to_evals(sum_value);
let point_evals: Vec<_> = points.iter().zip(evals.iter()).map(|(x, y)| (*x, *y)).collect();
let weights = barycentric_weights(&point_evals);
sum_value = evaluate_barycentric(&point_evals, r, &weights);
}
assert_eq!(final_evaluation_claim.claimed_evaluation, sum_value);
final_evaluation_claim
}

33
src/gkr/utils/mod.rs Normal file
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@@ -0,0 +1,33 @@
use winter_math::{FieldElement, batch_inversion};
pub fn barycentric_weights<E: FieldElement>(points: &[(E, E)]) -> Vec<E> {
let n = points.len();
let tmp = (0..n)
.map(|i| (0..n).filter(|&j| j != i).fold(E::ONE, |acc, j| acc * (points[i].0 - points[j].0)))
.collect::<Vec<_>>();
batch_inversion(&tmp)
}
pub fn evaluate_barycentric<E: FieldElement>(
points: &[(E, E)],
x: E,
barycentric_weights: &[E],
) -> E {
for &(x_i, y_i) in points {
if x_i == x {
return y_i;
}
}
let l_x: E = points.iter().fold(E::ONE, |acc, &(x_i, _y_i)| acc * (x - x_i));
let sum = (0..points.len()).fold(E::ZERO, |acc, i| {
let x_i = points[i].0;
let y_i = points[i].1;
let w_i = barycentric_weights[i];
acc + (w_i / (x - x_i) * y_i)
});
l_x * sum
}

View File

@@ -1,5 +1,8 @@
use super::{Digest, ElementHasher, Felt, FieldElement, Hasher, StarkField}; use super::{Digest, ElementHasher, Felt, FieldElement, Hasher, StarkField};
use crate::utils::{ByteReader, ByteWriter, Deserializable, DeserializationError, Serializable}; use crate::utils::{
bytes_to_hex_string, hex_to_bytes, string::String, ByteReader, ByteWriter, Deserializable,
DeserializationError, HexParseError, Serializable,
};
use core::{ use core::{
mem::{size_of, transmute, transmute_copy}, mem::{size_of, transmute, transmute_copy},
ops::Deref, ops::Deref,
@@ -23,7 +26,9 @@ const DIGEST20_BYTES: usize = 20;
/// ///
/// Note: `N` can't be greater than `32` because [`Digest::as_bytes`] currently supports only 32 /// Note: `N` can't be greater than `32` because [`Digest::as_bytes`] currently supports only 32
/// bytes. /// bytes.
#[derive(Debug, Copy, Clone, Eq, PartialEq)] #[derive(Debug, Copy, Clone, Eq, PartialEq, Ord, PartialOrd)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
#[cfg_attr(feature = "serde", serde(into = "String", try_from = "&str"))]
pub struct Blake3Digest<const N: usize>([u8; N]); pub struct Blake3Digest<const N: usize>([u8; N]);
impl<const N: usize> Default for Blake3Digest<N> { impl<const N: usize> Default for Blake3Digest<N> {
@@ -52,6 +57,20 @@ impl<const N: usize> From<[u8; N]> for Blake3Digest<N> {
} }
} }
impl<const N: usize> From<Blake3Digest<N>> for String {
fn from(value: Blake3Digest<N>) -> Self {
bytes_to_hex_string(value.as_bytes())
}
}
impl<const N: usize> TryFrom<&str> for Blake3Digest<N> {
type Error = HexParseError;
fn try_from(value: &str) -> Result<Self, Self::Error> {
hex_to_bytes(value).map(|v| v.into())
}
}
impl<const N: usize> Serializable for Blake3Digest<N> { impl<const N: usize> Serializable for Blake3Digest<N> {
fn write_into<W: ByteWriter>(&self, target: &mut W) { fn write_into<W: ByteWriter>(&self, target: &mut W) {
target.write_bytes(&self.0); target.write_bytes(&self.0);

View File

@@ -1,7 +1,17 @@
use super::{Felt, FieldElement, StarkField, ONE, ZERO}; //! Cryptographic hash functions used by the Miden VM and the Miden rollup.
use super::{CubeExtension, Felt, FieldElement, StarkField, ONE, ZERO};
pub mod blake; pub mod blake;
pub mod rpo;
mod rescue;
pub mod rpo {
pub use super::rescue::{Rpo256, RpoDigest};
}
pub mod rpx {
pub use super::rescue::{Rpx256, RpxDigest};
}
// RE-EXPORTS // RE-EXPORTS
// ================================================================================================ // ================================================================================================

101
src/hash/rescue/arch/mod.rs Normal file
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@@ -0,0 +1,101 @@
#[cfg(all(target_feature = "sve", feature = "sve"))]
pub mod optimized {
use crate::hash::rescue::STATE_WIDTH;
use crate::Felt;
mod ffi {
#[link(name = "rpo_sve", kind = "static")]
extern "C" {
pub fn add_constants_and_apply_sbox(
state: *mut std::ffi::c_ulong,
constants: *const std::ffi::c_ulong,
) -> bool;
pub fn add_constants_and_apply_inv_sbox(
state: *mut std::ffi::c_ulong,
constants: *const std::ffi::c_ulong,
) -> bool;
}
}
#[inline(always)]
pub fn add_constants_and_apply_sbox(
state: &mut [Felt; STATE_WIDTH],
ark: &[Felt; STATE_WIDTH],
) -> bool {
unsafe {
ffi::add_constants_and_apply_sbox(
state.as_mut_ptr() as *mut u64,
ark.as_ptr() as *const u64,
)
}
}
#[inline(always)]
pub fn add_constants_and_apply_inv_sbox(
state: &mut [Felt; STATE_WIDTH],
ark: &[Felt; STATE_WIDTH],
) -> bool {
unsafe {
ffi::add_constants_and_apply_inv_sbox(
state.as_mut_ptr() as *mut u64,
ark.as_ptr() as *const u64,
)
}
}
}
#[cfg(target_feature = "avx2")]
mod x86_64_avx2;
#[cfg(target_feature = "avx2")]
pub mod optimized {
use super::x86_64_avx2::{apply_inv_sbox, apply_sbox};
use crate::hash::rescue::{add_constants, STATE_WIDTH};
use crate::Felt;
#[inline(always)]
pub fn add_constants_and_apply_sbox(
state: &mut [Felt; STATE_WIDTH],
ark: &[Felt; STATE_WIDTH],
) -> bool {
add_constants(state, ark);
unsafe {
apply_sbox(std::mem::transmute(state));
}
true
}
#[inline(always)]
pub fn add_constants_and_apply_inv_sbox(
state: &mut [Felt; STATE_WIDTH],
ark: &[Felt; STATE_WIDTH],
) -> bool {
add_constants(state, ark);
unsafe {
apply_inv_sbox(std::mem::transmute(state));
}
true
}
}
#[cfg(not(any(target_feature = "avx2", all(target_feature = "sve", feature = "sve"))))]
pub mod optimized {
use crate::hash::rescue::STATE_WIDTH;
use crate::Felt;
#[inline(always)]
pub fn add_constants_and_apply_sbox(
_state: &mut [Felt; STATE_WIDTH],
_ark: &[Felt; STATE_WIDTH],
) -> bool {
false
}
#[inline(always)]
pub fn add_constants_and_apply_inv_sbox(
_state: &mut [Felt; STATE_WIDTH],
_ark: &[Felt; STATE_WIDTH],
) -> bool {
false
}
}

View File

@@ -0,0 +1,325 @@
use core::arch::x86_64::*;
// The following AVX2 implementation has been copied from plonky2:
// https://github.com/0xPolygonZero/plonky2/blob/main/plonky2/src/hash/arch/x86_64/poseidon_goldilocks_avx2_bmi2.rs
// Preliminary notes:
// 1. AVX does not support addition with carry but 128-bit (2-word) addition can be easily
// emulated. The method recognizes that for a + b overflowed iff (a + b) < a:
// i. res_lo = a_lo + b_lo
// ii. carry_mask = res_lo < a_lo
// iii. res_hi = a_hi + b_hi - carry_mask
// Notice that carry_mask is subtracted, not added. This is because AVX comparison instructions
// return -1 (all bits 1) for true and 0 for false.
//
// 2. AVX does not have unsigned 64-bit comparisons. Those can be emulated with signed comparisons
// by recognizing that a <u b iff a + (1 << 63) <s b + (1 << 63), where the addition wraps around
// and the comparisons are unsigned and signed respectively. The shift function adds/subtracts
// 1 << 63 to enable this trick.
// Example: addition with carry.
// i. a_lo_s = shift(a_lo)
// ii. res_lo_s = a_lo_s + b_lo
// iii. carry_mask = res_lo_s <s a_lo_s
// iv. res_lo = shift(res_lo_s)
// v. res_hi = a_hi + b_hi - carry_mask
// The suffix _s denotes a value that has been shifted by 1 << 63. The result of addition is
// shifted if exactly one of the operands is shifted, as is the case on line ii. Line iii.
// performs a signed comparison res_lo_s <s a_lo_s on shifted values to emulate unsigned
// comparison res_lo <u a_lo on unshifted values. Finally, line iv. reverses the shift so the
// result can be returned.
// When performing a chain of calculations, we can often save instructions by letting the shift
// propagate through and only undoing it when necessary. For example, to compute the addition of
// three two-word (128-bit) numbers we can do:
// i. a_lo_s = shift(a_lo)
// ii. tmp_lo_s = a_lo_s + b_lo
// iii. tmp_carry_mask = tmp_lo_s <s a_lo_s
// iv. tmp_hi = a_hi + b_hi - tmp_carry_mask
// v. res_lo_s = tmp_lo_s + c_lo
// vi. res_carry_mask = res_lo_s <s tmp_lo_s
// vii. res_lo = shift(res_lo_s)
// viii. res_hi = tmp_hi + c_hi - res_carry_mask
// Notice that the above 3-value addition still only requires two calls to shift, just like our
// 2-value addition.
#[inline(always)]
pub fn branch_hint() {
// NOTE: These are the currently supported assembly architectures. See the
// [nightly reference](https://doc.rust-lang.org/nightly/reference/inline-assembly.html) for
// the most up-to-date list.
#[cfg(any(
target_arch = "aarch64",
target_arch = "arm",
target_arch = "riscv32",
target_arch = "riscv64",
target_arch = "x86",
target_arch = "x86_64",
))]
unsafe {
core::arch::asm!("", options(nomem, nostack, preserves_flags));
}
}
macro_rules! map3 {
($f:ident::<$l:literal>, $v:ident) => {
($f::<$l>($v.0), $f::<$l>($v.1), $f::<$l>($v.2))
};
($f:ident::<$l:literal>, $v1:ident, $v2:ident) => {
($f::<$l>($v1.0, $v2.0), $f::<$l>($v1.1, $v2.1), $f::<$l>($v1.2, $v2.2))
};
($f:ident, $v:ident) => {
($f($v.0), $f($v.1), $f($v.2))
};
($f:ident, $v0:ident, $v1:ident) => {
($f($v0.0, $v1.0), $f($v0.1, $v1.1), $f($v0.2, $v1.2))
};
($f:ident, rep $v0:ident, $v1:ident) => {
($f($v0, $v1.0), $f($v0, $v1.1), $f($v0, $v1.2))
};
($f:ident, $v0:ident, rep $v1:ident) => {
($f($v0.0, $v1), $f($v0.1, $v1), $f($v0.2, $v1))
};
}
#[inline(always)]
unsafe fn square3(
x: (__m256i, __m256i, __m256i),
) -> ((__m256i, __m256i, __m256i), (__m256i, __m256i, __m256i)) {
let x_hi = {
// Move high bits to low position. The high bits of x_hi are ignored. Swizzle is faster than
// bitshift. This instruction only has a floating-point flavor, so we cast to/from float.
// This is safe and free.
let x_ps = map3!(_mm256_castsi256_ps, x);
let x_hi_ps = map3!(_mm256_movehdup_ps, x_ps);
map3!(_mm256_castps_si256, x_hi_ps)
};
// All pairwise multiplications.
let mul_ll = map3!(_mm256_mul_epu32, x, x);
let mul_lh = map3!(_mm256_mul_epu32, x, x_hi);
let mul_hh = map3!(_mm256_mul_epu32, x_hi, x_hi);
// Bignum addition, but mul_lh is shifted by 33 bits (not 32).
let mul_ll_hi = map3!(_mm256_srli_epi64::<33>, mul_ll);
let t0 = map3!(_mm256_add_epi64, mul_lh, mul_ll_hi);
let t0_hi = map3!(_mm256_srli_epi64::<31>, t0);
let res_hi = map3!(_mm256_add_epi64, mul_hh, t0_hi);
// Form low result by adding the mul_ll and the low 31 bits of mul_lh (shifted to the high
// position).
let mul_lh_lo = map3!(_mm256_slli_epi64::<33>, mul_lh);
let res_lo = map3!(_mm256_add_epi64, mul_ll, mul_lh_lo);
(res_lo, res_hi)
}
#[inline(always)]
unsafe fn mul3(
x: (__m256i, __m256i, __m256i),
y: (__m256i, __m256i, __m256i),
) -> ((__m256i, __m256i, __m256i), (__m256i, __m256i, __m256i)) {
let epsilon = _mm256_set1_epi64x(0xffffffff);
let x_hi = {
// Move high bits to low position. The high bits of x_hi are ignored. Swizzle is faster than
// bitshift. This instruction only has a floating-point flavor, so we cast to/from float.
// This is safe and free.
let x_ps = map3!(_mm256_castsi256_ps, x);
let x_hi_ps = map3!(_mm256_movehdup_ps, x_ps);
map3!(_mm256_castps_si256, x_hi_ps)
};
let y_hi = {
let y_ps = map3!(_mm256_castsi256_ps, y);
let y_hi_ps = map3!(_mm256_movehdup_ps, y_ps);
map3!(_mm256_castps_si256, y_hi_ps)
};
// All four pairwise multiplications
let mul_ll = map3!(_mm256_mul_epu32, x, y);
let mul_lh = map3!(_mm256_mul_epu32, x, y_hi);
let mul_hl = map3!(_mm256_mul_epu32, x_hi, y);
let mul_hh = map3!(_mm256_mul_epu32, x_hi, y_hi);
// Bignum addition
// Extract high 32 bits of mul_ll and add to mul_hl. This cannot overflow.
let mul_ll_hi = map3!(_mm256_srli_epi64::<32>, mul_ll);
let t0 = map3!(_mm256_add_epi64, mul_hl, mul_ll_hi);
// Extract low 32 bits of t0 and add to mul_lh. Again, this cannot overflow.
// Also, extract high 32 bits of t0 and add to mul_hh.
let t0_lo = map3!(_mm256_and_si256, t0, rep epsilon);
let t0_hi = map3!(_mm256_srli_epi64::<32>, t0);
let t1 = map3!(_mm256_add_epi64, mul_lh, t0_lo);
let t2 = map3!(_mm256_add_epi64, mul_hh, t0_hi);
// Lastly, extract the high 32 bits of t1 and add to t2.
let t1_hi = map3!(_mm256_srli_epi64::<32>, t1);
let res_hi = map3!(_mm256_add_epi64, t2, t1_hi);
// Form res_lo by combining the low half of mul_ll with the low half of t1 (shifted into high
// position).
let t1_lo = {
let t1_ps = map3!(_mm256_castsi256_ps, t1);
let t1_lo_ps = map3!(_mm256_moveldup_ps, t1_ps);
map3!(_mm256_castps_si256, t1_lo_ps)
};
let res_lo = map3!(_mm256_blend_epi32::<0xaa>, mul_ll, t1_lo);
(res_lo, res_hi)
}
/// Addition, where the second operand is `0 <= y < 0xffffffff00000001`.
#[inline(always)]
unsafe fn add_small(
x_s: (__m256i, __m256i, __m256i),
y: (__m256i, __m256i, __m256i),
) -> (__m256i, __m256i, __m256i) {
let res_wrapped_s = map3!(_mm256_add_epi64, x_s, y);
let mask = map3!(_mm256_cmpgt_epi32, x_s, res_wrapped_s);
let wrapback_amt = map3!(_mm256_srli_epi64::<32>, mask); // EPSILON if overflowed else 0.
let res_s = map3!(_mm256_add_epi64, res_wrapped_s, wrapback_amt);
res_s
}
#[inline(always)]
unsafe fn maybe_adj_sub(res_wrapped_s: __m256i, mask: __m256i) -> __m256i {
// The subtraction is very unlikely to overflow so we're best off branching.
// The even u32s in `mask` are meaningless, so we want to ignore them. `_mm256_testz_pd`
// branches depending on the sign bit of double-precision (64-bit) floats. Bit cast `mask` to
// floating-point (this is free).
let mask_pd = _mm256_castsi256_pd(mask);
// `_mm256_testz_pd(mask_pd, mask_pd) == 1` iff all sign bits are 0, meaning that underflow
// did not occur for any of the vector elements.
if _mm256_testz_pd(mask_pd, mask_pd) == 1 {
res_wrapped_s
} else {
branch_hint();
// Highly unlikely: underflow did occur. Find adjustment per element and apply it.
let adj_amount = _mm256_srli_epi64::<32>(mask); // EPSILON if underflow.
_mm256_sub_epi64(res_wrapped_s, adj_amount)
}
}
/// Addition, where the second operand is much smaller than `0xffffffff00000001`.
#[inline(always)]
unsafe fn sub_tiny(
x_s: (__m256i, __m256i, __m256i),
y: (__m256i, __m256i, __m256i),
) -> (__m256i, __m256i, __m256i) {
let res_wrapped_s = map3!(_mm256_sub_epi64, x_s, y);
let mask = map3!(_mm256_cmpgt_epi32, res_wrapped_s, x_s);
let res_s = map3!(maybe_adj_sub, res_wrapped_s, mask);
res_s
}
#[inline(always)]
unsafe fn reduce3(
(lo0, hi0): ((__m256i, __m256i, __m256i), (__m256i, __m256i, __m256i)),
) -> (__m256i, __m256i, __m256i) {
let sign_bit = _mm256_set1_epi64x(i64::MIN);
let epsilon = _mm256_set1_epi64x(0xffffffff);
let lo0_s = map3!(_mm256_xor_si256, lo0, rep sign_bit);
let hi_hi0 = map3!(_mm256_srli_epi64::<32>, hi0);
let lo1_s = sub_tiny(lo0_s, hi_hi0);
let t1 = map3!(_mm256_mul_epu32, hi0, rep epsilon);
let lo2_s = add_small(lo1_s, t1);
let lo2 = map3!(_mm256_xor_si256, lo2_s, rep sign_bit);
lo2
}
#[inline(always)]
unsafe fn mul_reduce(
a: (__m256i, __m256i, __m256i),
b: (__m256i, __m256i, __m256i),
) -> (__m256i, __m256i, __m256i) {
reduce3(mul3(a, b))
}
#[inline(always)]
unsafe fn square_reduce(state: (__m256i, __m256i, __m256i)) -> (__m256i, __m256i, __m256i) {
reduce3(square3(state))
}
#[inline(always)]
unsafe fn exp_acc(
high: (__m256i, __m256i, __m256i),
low: (__m256i, __m256i, __m256i),
exp: usize,
) -> (__m256i, __m256i, __m256i) {
let mut result = high;
for _ in 0..exp {
result = square_reduce(result);
}
mul_reduce(result, low)
}
#[inline(always)]
unsafe fn do_apply_sbox(state: (__m256i, __m256i, __m256i)) -> (__m256i, __m256i, __m256i) {
let state2 = square_reduce(state);
let state4_unreduced = square3(state2);
let state3_unreduced = mul3(state2, state);
let state4 = reduce3(state4_unreduced);
let state3 = reduce3(state3_unreduced);
let state7_unreduced = mul3(state3, state4);
let state7 = reduce3(state7_unreduced);
state7
}
#[inline(always)]
unsafe fn do_apply_inv_sbox(state: (__m256i, __m256i, __m256i)) -> (__m256i, __m256i, __m256i) {
// compute base^10540996611094048183 using 72 multiplications per array element
// 10540996611094048183 = b1001001001001001001001001001000110110110110110110110110110110111
// compute base^10
let t1 = square_reduce(state);
// compute base^100
let t2 = square_reduce(t1);
// compute base^100100
let t3 = exp_acc(t2, t2, 3);
// compute base^100100100100
let t4 = exp_acc(t3, t3, 6);
// compute base^100100100100100100100100
let t5 = exp_acc(t4, t4, 12);
// compute base^100100100100100100100100100100
let t6 = exp_acc(t5, t3, 6);
// compute base^1001001001001001001001001001000100100100100100100100100100100
let t7 = exp_acc(t6, t6, 31);
// compute base^1001001001001001001001001001000110110110110110110110110110110111
let a = square_reduce(square_reduce(mul_reduce(square_reduce(t7), t6)));
let b = mul_reduce(t1, mul_reduce(t2, state));
mul_reduce(a, b)
}
#[inline(always)]
unsafe fn avx2_load(state: &[u64; 12]) -> (__m256i, __m256i, __m256i) {
(
_mm256_loadu_si256((&state[0..4]).as_ptr().cast::<__m256i>()),
_mm256_loadu_si256((&state[4..8]).as_ptr().cast::<__m256i>()),
_mm256_loadu_si256((&state[8..12]).as_ptr().cast::<__m256i>()),
)
}
#[inline(always)]
unsafe fn avx2_store(buf: &mut [u64; 12], state: (__m256i, __m256i, __m256i)) {
_mm256_storeu_si256((&mut buf[0..4]).as_mut_ptr().cast::<__m256i>(), state.0);
_mm256_storeu_si256((&mut buf[4..8]).as_mut_ptr().cast::<__m256i>(), state.1);
_mm256_storeu_si256((&mut buf[8..12]).as_mut_ptr().cast::<__m256i>(), state.2);
}
#[inline(always)]
pub unsafe fn apply_sbox(buffer: &mut [u64; 12]) {
let mut state = avx2_load(&buffer);
state = do_apply_sbox(state);
avx2_store(buffer, state);
}
#[inline(always)]
pub unsafe fn apply_inv_sbox(buffer: &mut [u64; 12]) {
let mut state = avx2_load(&buffer);
state = do_apply_inv_sbox(state);
avx2_store(buffer, state);
}

View File

@@ -11,7 +11,8 @@
/// divisions by 2 and repeated modular reductions. This is because of our explicit choice of /// divisions by 2 and repeated modular reductions. This is because of our explicit choice of
/// an MDS matrix that has small powers of 2 entries in frequency domain. /// an MDS matrix that has small powers of 2 entries in frequency domain.
/// The following implementation has benefited greatly from the discussions and insights of /// The following implementation has benefited greatly from the discussions and insights of
/// Hamish Ivey-Law and Jacqueline Nabaglo of Polygon Zero. /// Hamish Ivey-Law and Jacqueline Nabaglo of Polygon Zero and is base on Nabaglo's Plonky2
/// implementation.
// Rescue MDS matrix in frequency domain. // Rescue MDS matrix in frequency domain.
// More precisely, this is the output of the three 4-point (real) FFTs of the first column of // More precisely, this is the output of the three 4-point (real) FFTs of the first column of
@@ -26,7 +27,7 @@ const MDS_FREQ_BLOCK_THREE: [i64; 3] = [-8, 1, 1];
// We use split 3 x 4 FFT transform in order to transform our vectors into the frequency domain. // We use split 3 x 4 FFT transform in order to transform our vectors into the frequency domain.
#[inline(always)] #[inline(always)]
pub(crate) const fn mds_multiply_freq(state: [u64; 12]) -> [u64; 12] { pub const fn mds_multiply_freq(state: [u64; 12]) -> [u64; 12] {
let [s0, s1, s2, s3, s4, s5, s6, s7, s8, s9, s10, s11] = state; let [s0, s1, s2, s3, s4, s5, s6, s7, s8, s9, s10, s11] = state;
let (u0, u1, u2) = fft4_real([s0, s3, s6, s9]); let (u0, u1, u2) = fft4_real([s0, s3, s6, s9]);
@@ -156,14 +157,14 @@ const fn block3(x: [i64; 3], y: [i64; 3]) -> [i64; 3] {
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use super::super::{Felt, FieldElement, Rpo256, MDS}; use super::super::{apply_mds, Felt, MDS, ZERO};
use proptest::prelude::*; use proptest::prelude::*;
const STATE_WIDTH: usize = 12; const STATE_WIDTH: usize = 12;
#[inline(always)] #[inline(always)]
fn apply_mds_naive(state: &mut [Felt; STATE_WIDTH]) { fn apply_mds_naive(state: &mut [Felt; STATE_WIDTH]) {
let mut result = [Felt::ZERO; STATE_WIDTH]; let mut result = [ZERO; STATE_WIDTH];
result.iter_mut().zip(MDS).for_each(|(r, mds_row)| { result.iter_mut().zip(MDS).for_each(|(r, mds_row)| {
state.iter().zip(mds_row).for_each(|(&s, m)| { state.iter().zip(mds_row).for_each(|(&s, m)| {
*r += m * s; *r += m * s;
@@ -174,9 +175,9 @@ mod tests {
proptest! { proptest! {
#[test] #[test]
fn mds_freq_proptest(a in any::<[u64;STATE_WIDTH]>()) { fn mds_freq_proptest(a in any::<[u64; STATE_WIDTH]>()) {
let mut v1 = [Felt::ZERO;STATE_WIDTH]; let mut v1 = [ZERO; STATE_WIDTH];
let mut v2; let mut v2;
for i in 0..STATE_WIDTH { for i in 0..STATE_WIDTH {
@@ -185,7 +186,7 @@ mod tests {
v2 = v1; v2 = v1;
apply_mds_naive(&mut v1); apply_mds_naive(&mut v1);
Rpo256::apply_mds(&mut v2); apply_mds(&mut v2);
prop_assert_eq!(v1, v2); prop_assert_eq!(v1, v2);
} }

214
src/hash/rescue/mds/mod.rs Normal file
View File

@@ -0,0 +1,214 @@
use super::{Felt, STATE_WIDTH, ZERO};
mod freq;
pub use freq::mds_multiply_freq;
// MDS MULTIPLICATION
// ================================================================================================
#[inline(always)]
pub fn apply_mds(state: &mut [Felt; STATE_WIDTH]) {
let mut result = [ZERO; STATE_WIDTH];
// Using the linearity of the operations we can split the state into a low||high decomposition
// and operate on each with no overflow and then combine/reduce the result to a field element.
// The no overflow is guaranteed by the fact that the MDS matrix is a small powers of two in
// frequency domain.
let mut state_l = [0u64; STATE_WIDTH];
let mut state_h = [0u64; STATE_WIDTH];
for r in 0..STATE_WIDTH {
let s = state[r].inner();
state_h[r] = s >> 32;
state_l[r] = (s as u32) as u64;
}
let state_h = mds_multiply_freq(state_h);
let state_l = mds_multiply_freq(state_l);
for r in 0..STATE_WIDTH {
let s = state_l[r] as u128 + ((state_h[r] as u128) << 32);
let s_hi = (s >> 64) as u64;
let s_lo = s as u64;
let z = (s_hi << 32) - s_hi;
let (res, over) = s_lo.overflowing_add(z);
result[r] = Felt::from_mont(res.wrapping_add(0u32.wrapping_sub(over as u32) as u64));
}
*state = result;
}
// MDS MATRIX
// ================================================================================================
/// RPO MDS matrix
pub const MDS: [[Felt; STATE_WIDTH]; STATE_WIDTH] = [
[
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
],
[
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
],
[
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
],
[
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
],
[
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
],
[
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
],
[
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
],
[
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
],
[
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
],
[
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
],
[
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
],
[
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
],
];

348
src/hash/rescue/mod.rs Normal file
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@@ -0,0 +1,348 @@
use super::{
CubeExtension, Digest, ElementHasher, Felt, FieldElement, Hasher, StarkField, ONE, ZERO,
};
use core::ops::Range;
mod arch;
pub use arch::optimized::{add_constants_and_apply_inv_sbox, add_constants_and_apply_sbox};
mod mds;
use mds::{apply_mds, MDS};
mod rpo;
pub use rpo::{Rpo256, RpoDigest};
mod rpx;
pub use rpx::{Rpx256, RpxDigest};
#[cfg(test)]
mod tests;
// CONSTANTS
// ================================================================================================
/// The number of rounds is set to 7. For the RPO hash functions all rounds are uniform. For the
/// RPX hash function, there are 3 different types of rounds.
const NUM_ROUNDS: usize = 7;
/// Sponge state is set to 12 field elements or 96 bytes; 8 elements are reserved for rate and
/// the remaining 4 elements are reserved for capacity.
const STATE_WIDTH: usize = 12;
/// The rate portion of the state is located in elements 4 through 11.
const RATE_RANGE: Range<usize> = 4..12;
const RATE_WIDTH: usize = RATE_RANGE.end - RATE_RANGE.start;
const INPUT1_RANGE: Range<usize> = 4..8;
const INPUT2_RANGE: Range<usize> = 8..12;
/// The capacity portion of the state is located in elements 0, 1, 2, and 3.
const CAPACITY_RANGE: Range<usize> = 0..4;
/// The output of the hash function is a digest which consists of 4 field elements or 32 bytes.
///
/// The digest is returned from state elements 4, 5, 6, and 7 (the first four elements of the
/// rate portion).
const DIGEST_RANGE: Range<usize> = 4..8;
const DIGEST_SIZE: usize = DIGEST_RANGE.end - DIGEST_RANGE.start;
/// The number of bytes needed to encoded a digest
const DIGEST_BYTES: usize = 32;
/// The number of byte chunks defining a field element when hashing a sequence of bytes
const BINARY_CHUNK_SIZE: usize = 7;
/// S-Box and Inverse S-Box powers;
///
/// The constants are defined for tests only because the exponentiations in the code are unrolled
/// for efficiency reasons.
#[cfg(test)]
const ALPHA: u64 = 7;
#[cfg(test)]
const INV_ALPHA: u64 = 10540996611094048183;
// SBOX FUNCTION
// ================================================================================================
#[inline(always)]
fn apply_sbox(state: &mut [Felt; STATE_WIDTH]) {
state[0] = state[0].exp7();
state[1] = state[1].exp7();
state[2] = state[2].exp7();
state[3] = state[3].exp7();
state[4] = state[4].exp7();
state[5] = state[5].exp7();
state[6] = state[6].exp7();
state[7] = state[7].exp7();
state[8] = state[8].exp7();
state[9] = state[9].exp7();
state[10] = state[10].exp7();
state[11] = state[11].exp7();
}
// INVERSE SBOX FUNCTION
// ================================================================================================
#[inline(always)]
fn apply_inv_sbox(state: &mut [Felt; STATE_WIDTH]) {
// compute base^10540996611094048183 using 72 multiplications per array element
// 10540996611094048183 = b1001001001001001001001001001000110110110110110110110110110110111
// compute base^10
let mut t1 = *state;
t1.iter_mut().for_each(|t| *t = t.square());
// compute base^100
let mut t2 = t1;
t2.iter_mut().for_each(|t| *t = t.square());
// compute base^100100
let t3 = exp_acc::<Felt, STATE_WIDTH, 3>(t2, t2);
// compute base^100100100100
let t4 = exp_acc::<Felt, STATE_WIDTH, 6>(t3, t3);
// compute base^100100100100100100100100
let t5 = exp_acc::<Felt, STATE_WIDTH, 12>(t4, t4);
// compute base^100100100100100100100100100100
let t6 = exp_acc::<Felt, STATE_WIDTH, 6>(t5, t3);
// compute base^1001001001001001001001001001000100100100100100100100100100100
let t7 = exp_acc::<Felt, STATE_WIDTH, 31>(t6, t6);
// compute base^1001001001001001001001001001000110110110110110110110110110110111
for (i, s) in state.iter_mut().enumerate() {
let a = (t7[i].square() * t6[i]).square().square();
let b = t1[i] * t2[i] * *s;
*s = a * b;
}
#[inline(always)]
fn exp_acc<B: StarkField, const N: usize, const M: usize>(
base: [B; N],
tail: [B; N],
) -> [B; N] {
let mut result = base;
for _ in 0..M {
result.iter_mut().for_each(|r| *r = r.square());
}
result.iter_mut().zip(tail).for_each(|(r, t)| *r *= t);
result
}
}
#[inline(always)]
fn add_constants(state: &mut [Felt; STATE_WIDTH], ark: &[Felt; STATE_WIDTH]) {
state.iter_mut().zip(ark).for_each(|(s, &k)| *s += k);
}
// ROUND CONSTANTS
// ================================================================================================
/// Rescue round constants;
/// computed as in [specifications](https://github.com/ASDiscreteMathematics/rpo)
///
/// The constants are broken up into two arrays ARK1 and ARK2; ARK1 contains the constants for the
/// first half of RPO round, and ARK2 contains constants for the second half of RPO round.
const ARK1: [[Felt; STATE_WIDTH]; NUM_ROUNDS] = [
[
Felt::new(5789762306288267392),
Felt::new(6522564764413701783),
Felt::new(17809893479458208203),
Felt::new(107145243989736508),
Felt::new(6388978042437517382),
Felt::new(15844067734406016715),
Felt::new(9975000513555218239),
Felt::new(3344984123768313364),
Felt::new(9959189626657347191),
Felt::new(12960773468763563665),
Felt::new(9602914297752488475),
Felt::new(16657542370200465908),
],
[
Felt::new(12987190162843096997),
Felt::new(653957632802705281),
Felt::new(4441654670647621225),
Felt::new(4038207883745915761),
Felt::new(5613464648874830118),
Felt::new(13222989726778338773),
Felt::new(3037761201230264149),
Felt::new(16683759727265180203),
Felt::new(8337364536491240715),
Felt::new(3227397518293416448),
Felt::new(8110510111539674682),
Felt::new(2872078294163232137),
],
[
Felt::new(18072785500942327487),
Felt::new(6200974112677013481),
Felt::new(17682092219085884187),
Felt::new(10599526828986756440),
Felt::new(975003873302957338),
Felt::new(8264241093196931281),
Felt::new(10065763900435475170),
Felt::new(2181131744534710197),
Felt::new(6317303992309418647),
Felt::new(1401440938888741532),
Felt::new(8884468225181997494),
Felt::new(13066900325715521532),
],
[
Felt::new(5674685213610121970),
Felt::new(5759084860419474071),
Felt::new(13943282657648897737),
Felt::new(1352748651966375394),
Felt::new(17110913224029905221),
Felt::new(1003883795902368422),
Felt::new(4141870621881018291),
Felt::new(8121410972417424656),
Felt::new(14300518605864919529),
Felt::new(13712227150607670181),
Felt::new(17021852944633065291),
Felt::new(6252096473787587650),
],
[
Felt::new(4887609836208846458),
Felt::new(3027115137917284492),
Felt::new(9595098600469470675),
Felt::new(10528569829048484079),
Felt::new(7864689113198939815),
Felt::new(17533723827845969040),
Felt::new(5781638039037710951),
Felt::new(17024078752430719006),
Felt::new(109659393484013511),
Felt::new(7158933660534805869),
Felt::new(2955076958026921730),
Felt::new(7433723648458773977),
],
[
Felt::new(16308865189192447297),
Felt::new(11977192855656444890),
Felt::new(12532242556065780287),
Felt::new(14594890931430968898),
Felt::new(7291784239689209784),
Felt::new(5514718540551361949),
Felt::new(10025733853830934803),
Felt::new(7293794580341021693),
Felt::new(6728552937464861756),
Felt::new(6332385040983343262),
Felt::new(13277683694236792804),
Felt::new(2600778905124452676),
],
[
Felt::new(7123075680859040534),
Felt::new(1034205548717903090),
Felt::new(7717824418247931797),
Felt::new(3019070937878604058),
Felt::new(11403792746066867460),
Felt::new(10280580802233112374),
Felt::new(337153209462421218),
Felt::new(13333398568519923717),
Felt::new(3596153696935337464),
Felt::new(8104208463525993784),
Felt::new(14345062289456085693),
Felt::new(17036731477169661256),
],
];
const ARK2: [[Felt; STATE_WIDTH]; NUM_ROUNDS] = [
[
Felt::new(6077062762357204287),
Felt::new(15277620170502011191),
Felt::new(5358738125714196705),
Felt::new(14233283787297595718),
Felt::new(13792579614346651365),
Felt::new(11614812331536767105),
Felt::new(14871063686742261166),
Felt::new(10148237148793043499),
Felt::new(4457428952329675767),
Felt::new(15590786458219172475),
Felt::new(10063319113072092615),
Felt::new(14200078843431360086),
],
[
Felt::new(6202948458916099932),
Felt::new(17690140365333231091),
Felt::new(3595001575307484651),
Felt::new(373995945117666487),
Felt::new(1235734395091296013),
Felt::new(14172757457833931602),
Felt::new(707573103686350224),
Felt::new(15453217512188187135),
Felt::new(219777875004506018),
Felt::new(17876696346199469008),
Felt::new(17731621626449383378),
Felt::new(2897136237748376248),
],
[
Felt::new(8023374565629191455),
Felt::new(15013690343205953430),
Felt::new(4485500052507912973),
Felt::new(12489737547229155153),
Felt::new(9500452585969030576),
Felt::new(2054001340201038870),
Felt::new(12420704059284934186),
Felt::new(355990932618543755),
Felt::new(9071225051243523860),
Felt::new(12766199826003448536),
Felt::new(9045979173463556963),
Felt::new(12934431667190679898),
],
[
Felt::new(18389244934624494276),
Felt::new(16731736864863925227),
Felt::new(4440209734760478192),
Felt::new(17208448209698888938),
Felt::new(8739495587021565984),
Felt::new(17000774922218161967),
Felt::new(13533282547195532087),
Felt::new(525402848358706231),
Felt::new(16987541523062161972),
Felt::new(5466806524462797102),
Felt::new(14512769585918244983),
Felt::new(10973956031244051118),
],
[
Felt::new(6982293561042362913),
Felt::new(14065426295947720331),
Felt::new(16451845770444974180),
Felt::new(7139138592091306727),
Felt::new(9012006439959783127),
Felt::new(14619614108529063361),
Felt::new(1394813199588124371),
Felt::new(4635111139507788575),
Felt::new(16217473952264203365),
Felt::new(10782018226466330683),
Felt::new(6844229992533662050),
Felt::new(7446486531695178711),
],
[
Felt::new(3736792340494631448),
Felt::new(577852220195055341),
Felt::new(6689998335515779805),
Felt::new(13886063479078013492),
Felt::new(14358505101923202168),
Felt::new(7744142531772274164),
Felt::new(16135070735728404443),
Felt::new(12290902521256031137),
Felt::new(12059913662657709804),
Felt::new(16456018495793751911),
Felt::new(4571485474751953524),
Felt::new(17200392109565783176),
],
[
Felt::new(17130398059294018733),
Felt::new(519782857322261988),
Felt::new(9625384390925085478),
Felt::new(1664893052631119222),
Felt::new(7629576092524553570),
Felt::new(3485239601103661425),
Felt::new(9755891797164033838),
Felt::new(15218148195153269027),
Felt::new(16460604813734957368),
Felt::new(9643968136937729763),
Felt::new(3611348709641382851),
Felt::new(18256379591337759196),
],
];

View File

@@ -0,0 +1,408 @@
use super::{Digest, Felt, StarkField, DIGEST_BYTES, DIGEST_SIZE, ZERO};
use crate::utils::{
bytes_to_hex_string, hex_to_bytes, string::String, ByteReader, ByteWriter, Deserializable,
DeserializationError, HexParseError, Serializable,
};
use core::{cmp::Ordering, fmt::Display, ops::Deref};
use winter_utils::Randomizable;
// DIGEST TRAIT IMPLEMENTATIONS
// ================================================================================================
#[derive(Debug, Default, Copy, Clone, Eq, PartialEq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
#[cfg_attr(feature = "serde", serde(into = "String", try_from = "&str"))]
pub struct RpoDigest([Felt; DIGEST_SIZE]);
impl RpoDigest {
pub const fn new(value: [Felt; DIGEST_SIZE]) -> Self {
Self(value)
}
pub fn as_elements(&self) -> &[Felt] {
self.as_ref()
}
pub fn as_bytes(&self) -> [u8; DIGEST_BYTES] {
<Self as Digest>::as_bytes(self)
}
pub fn digests_as_elements<'a, I>(digests: I) -> impl Iterator<Item = &'a Felt>
where
I: Iterator<Item = &'a Self>,
{
digests.flat_map(|d| d.0.iter())
}
}
impl Digest for RpoDigest {
fn as_bytes(&self) -> [u8; DIGEST_BYTES] {
let mut result = [0; DIGEST_BYTES];
result[..8].copy_from_slice(&self.0[0].as_int().to_le_bytes());
result[8..16].copy_from_slice(&self.0[1].as_int().to_le_bytes());
result[16..24].copy_from_slice(&self.0[2].as_int().to_le_bytes());
result[24..].copy_from_slice(&self.0[3].as_int().to_le_bytes());
result
}
}
impl Deref for RpoDigest {
type Target = [Felt; DIGEST_SIZE];
fn deref(&self) -> &Self::Target {
&self.0
}
}
impl Ord for RpoDigest {
fn cmp(&self, other: &Self) -> Ordering {
// compare the inner u64 of both elements.
//
// it will iterate the elements and will return the first computation different than
// `Equal`. Otherwise, the ordering is equal.
//
// the endianness is irrelevant here because since, this being a cryptographically secure
// hash computation, the digest shouldn't have any ordered property of its input.
//
// finally, we use `Felt::inner` instead of `Felt::as_int` so we avoid performing a
// montgomery reduction for every limb. that is safe because every inner element of the
// digest is guaranteed to be in its canonical form (that is, `x in [0,p)`).
self.0.iter().map(Felt::inner).zip(other.0.iter().map(Felt::inner)).fold(
Ordering::Equal,
|ord, (a, b)| match ord {
Ordering::Equal => a.cmp(&b),
_ => ord,
},
)
}
}
impl PartialOrd for RpoDigest {
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
Some(self.cmp(other))
}
}
impl Display for RpoDigest {
fn fmt(&self, f: &mut core::fmt::Formatter<'_>) -> core::fmt::Result {
let encoded: String = self.into();
write!(f, "{}", encoded)?;
Ok(())
}
}
impl Randomizable for RpoDigest {
const VALUE_SIZE: usize = DIGEST_BYTES;
fn from_random_bytes(bytes: &[u8]) -> Option<Self> {
let bytes_array: Option<[u8; 32]> = bytes.try_into().ok();
if let Some(bytes_array) = bytes_array {
Self::try_from(bytes_array).ok()
} else {
None
}
}
}
// CONVERSIONS: FROM RPO DIGEST
// ================================================================================================
impl From<&RpoDigest> for [Felt; DIGEST_SIZE] {
fn from(value: &RpoDigest) -> Self {
value.0
}
}
impl From<RpoDigest> for [Felt; DIGEST_SIZE] {
fn from(value: RpoDigest) -> Self {
value.0
}
}
impl From<&RpoDigest> for [u64; DIGEST_SIZE] {
fn from(value: &RpoDigest) -> Self {
[
value.0[0].as_int(),
value.0[1].as_int(),
value.0[2].as_int(),
value.0[3].as_int(),
]
}
}
impl From<RpoDigest> for [u64; DIGEST_SIZE] {
fn from(value: RpoDigest) -> Self {
[
value.0[0].as_int(),
value.0[1].as_int(),
value.0[2].as_int(),
value.0[3].as_int(),
]
}
}
impl From<&RpoDigest> for [u8; DIGEST_BYTES] {
fn from(value: &RpoDigest) -> Self {
value.as_bytes()
}
}
impl From<RpoDigest> for [u8; DIGEST_BYTES] {
fn from(value: RpoDigest) -> Self {
value.as_bytes()
}
}
impl From<RpoDigest> for String {
/// The returned string starts with `0x`.
fn from(value: RpoDigest) -> Self {
bytes_to_hex_string(value.as_bytes())
}
}
impl From<&RpoDigest> for String {
/// The returned string starts with `0x`.
fn from(value: &RpoDigest) -> Self {
(*value).into()
}
}
// CONVERSIONS: TO RPO DIGEST
// ================================================================================================
#[derive(Copy, Clone, Debug)]
pub enum RpoDigestError {
/// The provided u64 integer does not fit in the field's moduli.
InvalidInteger,
}
impl From<&[Felt; DIGEST_SIZE]> for RpoDigest {
fn from(value: &[Felt; DIGEST_SIZE]) -> Self {
Self(*value)
}
}
impl From<[Felt; DIGEST_SIZE]> for RpoDigest {
fn from(value: [Felt; DIGEST_SIZE]) -> Self {
Self(value)
}
}
impl TryFrom<[u8; DIGEST_BYTES]> for RpoDigest {
type Error = HexParseError;
fn try_from(value: [u8; DIGEST_BYTES]) -> Result<Self, Self::Error> {
// Note: the input length is known, the conversion from slice to array must succeed so the
// `unwrap`s below are safe
let a = u64::from_le_bytes(value[0..8].try_into().unwrap());
let b = u64::from_le_bytes(value[8..16].try_into().unwrap());
let c = u64::from_le_bytes(value[16..24].try_into().unwrap());
let d = u64::from_le_bytes(value[24..32].try_into().unwrap());
if [a, b, c, d].iter().any(|v| *v >= Felt::MODULUS) {
return Err(HexParseError::OutOfRange);
}
Ok(RpoDigest([Felt::new(a), Felt::new(b), Felt::new(c), Felt::new(d)]))
}
}
impl TryFrom<&[u8; DIGEST_BYTES]> for RpoDigest {
type Error = HexParseError;
fn try_from(value: &[u8; DIGEST_BYTES]) -> Result<Self, Self::Error> {
(*value).try_into()
}
}
impl TryFrom<&[u8]> for RpoDigest {
type Error = HexParseError;
fn try_from(value: &[u8]) -> Result<Self, Self::Error> {
(*value).try_into()
}
}
impl TryFrom<[u64; DIGEST_SIZE]> for RpoDigest {
type Error = RpoDigestError;
fn try_from(value: [u64; DIGEST_SIZE]) -> Result<Self, RpoDigestError> {
if value[0] >= Felt::MODULUS
|| value[1] >= Felt::MODULUS
|| value[2] >= Felt::MODULUS
|| value[3] >= Felt::MODULUS
{
return Err(RpoDigestError::InvalidInteger);
}
Ok(Self([value[0].into(), value[1].into(), value[2].into(), value[3].into()]))
}
}
impl TryFrom<&[u64; DIGEST_SIZE]> for RpoDigest {
type Error = RpoDigestError;
fn try_from(value: &[u64; DIGEST_SIZE]) -> Result<Self, RpoDigestError> {
(*value).try_into()
}
}
impl TryFrom<&str> for RpoDigest {
type Error = HexParseError;
/// Expects the string to start with `0x`.
fn try_from(value: &str) -> Result<Self, Self::Error> {
hex_to_bytes(value).and_then(|v| v.try_into())
}
}
impl TryFrom<String> for RpoDigest {
type Error = HexParseError;
/// Expects the string to start with `0x`.
fn try_from(value: String) -> Result<Self, Self::Error> {
value.as_str().try_into()
}
}
impl TryFrom<&String> for RpoDigest {
type Error = HexParseError;
/// Expects the string to start with `0x`.
fn try_from(value: &String) -> Result<Self, Self::Error> {
value.as_str().try_into()
}
}
// SERIALIZATION / DESERIALIZATION
// ================================================================================================
impl Serializable for RpoDigest {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
target.write_bytes(&self.as_bytes());
}
}
impl Deserializable for RpoDigest {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let mut inner: [Felt; DIGEST_SIZE] = [ZERO; DIGEST_SIZE];
for inner in inner.iter_mut() {
let e = source.read_u64()?;
if e >= Felt::MODULUS {
return Err(DeserializationError::InvalidValue(String::from(
"Value not in the appropriate range",
)));
}
*inner = Felt::new(e);
}
Ok(Self(inner))
}
}
// ITERATORS
// ================================================================================================
impl IntoIterator for RpoDigest {
type Item = Felt;
type IntoIter = <[Felt; 4] as IntoIterator>::IntoIter;
fn into_iter(self) -> Self::IntoIter {
self.0.into_iter()
}
}
// TESTS
// ================================================================================================
#[cfg(test)]
mod tests {
use super::{Deserializable, Felt, RpoDigest, Serializable, DIGEST_BYTES, DIGEST_SIZE};
use crate::utils::{string::String, SliceReader};
use rand_utils::rand_value;
#[test]
fn digest_serialization() {
let e1 = Felt::new(rand_value());
let e2 = Felt::new(rand_value());
let e3 = Felt::new(rand_value());
let e4 = Felt::new(rand_value());
let d1 = RpoDigest([e1, e2, e3, e4]);
let mut bytes = vec![];
d1.write_into(&mut bytes);
assert_eq!(DIGEST_BYTES, bytes.len());
let mut reader = SliceReader::new(&bytes);
let d2 = RpoDigest::read_from(&mut reader).unwrap();
assert_eq!(d1, d2);
}
#[test]
fn digest_encoding() {
let digest = RpoDigest([
Felt::new(rand_value()),
Felt::new(rand_value()),
Felt::new(rand_value()),
Felt::new(rand_value()),
]);
let string: String = digest.into();
let round_trip: RpoDigest = string.try_into().expect("decoding failed");
assert_eq!(digest, round_trip);
}
#[test]
fn test_conversions() {
let digest = RpoDigest([
Felt::new(rand_value()),
Felt::new(rand_value()),
Felt::new(rand_value()),
Felt::new(rand_value()),
]);
let v: [Felt; DIGEST_SIZE] = digest.into();
let v2: RpoDigest = v.into();
assert_eq!(digest, v2);
let v: [Felt; DIGEST_SIZE] = (&digest).into();
let v2: RpoDigest = v.into();
assert_eq!(digest, v2);
let v: [u64; DIGEST_SIZE] = digest.into();
let v2: RpoDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: [u64; DIGEST_SIZE] = (&digest).into();
let v2: RpoDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: [u8; DIGEST_BYTES] = digest.into();
let v2: RpoDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: [u8; DIGEST_BYTES] = (&digest).into();
let v2: RpoDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: String = digest.into();
let v2: RpoDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: String = (&digest).into();
let v2: RpoDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: [u8; DIGEST_BYTES] = digest.into();
let v2: RpoDigest = (&v).try_into().unwrap();
assert_eq!(digest, v2);
let v: [u8; DIGEST_BYTES] = (&digest).into();
let v2: RpoDigest = (&v).try_into().unwrap();
assert_eq!(digest, v2);
}
}

323
src/hash/rescue/rpo/mod.rs Normal file
View File

@@ -0,0 +1,323 @@
use super::{
add_constants, add_constants_and_apply_inv_sbox, add_constants_and_apply_sbox, apply_inv_sbox,
apply_mds, apply_sbox, Digest, ElementHasher, Felt, FieldElement, Hasher, StarkField, ARK1,
ARK2, BINARY_CHUNK_SIZE, CAPACITY_RANGE, DIGEST_BYTES, DIGEST_RANGE, DIGEST_SIZE, INPUT1_RANGE,
INPUT2_RANGE, MDS, NUM_ROUNDS, ONE, RATE_RANGE, RATE_WIDTH, STATE_WIDTH, ZERO,
};
use core::{convert::TryInto, ops::Range};
mod digest;
pub use digest::RpoDigest;
#[cfg(test)]
mod tests;
// HASHER IMPLEMENTATION
// ================================================================================================
/// Implementation of the Rescue Prime Optimized hash function with 256-bit output.
///
/// The hash function is implemented according to the Rescue Prime Optimized
/// [specifications](https://eprint.iacr.org/2022/1577)
///
/// The parameters used to instantiate the function are:
/// * Field: 64-bit prime field with modulus 2^64 - 2^32 + 1.
/// * State width: 12 field elements.
/// * Capacity size: 4 field elements.
/// * Number of founds: 7.
/// * S-Box degree: 7.
///
/// The above parameters target 128-bit security level. The digest consists of four field elements
/// and it can be serialized into 32 bytes (256 bits).
///
/// ## Hash output consistency
/// Functions [hash_elements()](Rpo256::hash_elements), [merge()](Rpo256::merge), and
/// [merge_with_int()](Rpo256::merge_with_int) are internally consistent. That is, computing
/// a hash for the same set of elements using these functions will always produce the same
/// result. For example, merging two digests using [merge()](Rpo256::merge) will produce the
/// same result as hashing 8 elements which make up these digests using
/// [hash_elements()](Rpo256::hash_elements) function.
///
/// However, [hash()](Rpo256::hash) function is not consistent with functions mentioned above.
/// For example, if we take two field elements, serialize them to bytes and hash them using
/// [hash()](Rpo256::hash), the result will differ from the result obtained by hashing these
/// elements directly using [hash_elements()](Rpo256::hash_elements) function. The reason for
/// this difference is that [hash()](Rpo256::hash) function needs to be able to handle
/// arbitrary binary strings, which may or may not encode valid field elements - and thus,
/// deserialization procedure used by this function is different from the procedure used to
/// deserialize valid field elements.
///
/// Thus, if the underlying data consists of valid field elements, it might make more sense
/// to deserialize them into field elements and then hash them using
/// [hash_elements()](Rpo256::hash_elements) function rather then hashing the serialized bytes
/// using [hash()](Rpo256::hash) function.
#[derive(Debug, Copy, Clone, Eq, PartialEq)]
pub struct Rpo256();
impl Hasher for Rpo256 {
/// Rpo256 collision resistance is the same as the security level, that is 128-bits.
///
/// #### Collision resistance
///
/// However, our setup of the capacity registers might drop it to 126.
///
/// Related issue: [#69](https://github.com/0xPolygonMiden/crypto/issues/69)
const COLLISION_RESISTANCE: u32 = 128;
type Digest = RpoDigest;
fn hash(bytes: &[u8]) -> Self::Digest {
// initialize the state with zeroes
let mut state = [ZERO; STATE_WIDTH];
// set the capacity (first element) to a flag on whether or not the input length is evenly
// divided by the rate. this will prevent collisions between padded and non-padded inputs,
// and will rule out the need to perform an extra permutation in case of evenly divided
// inputs.
let is_rate_multiple = bytes.len() % RATE_WIDTH == 0;
if !is_rate_multiple {
state[CAPACITY_RANGE.start] = ONE;
}
// initialize a buffer to receive the little-endian elements.
let mut buf = [0_u8; 8];
// iterate the chunks of bytes, creating a field element from each chunk and copying it
// into the state.
//
// every time the rate range is filled, a permutation is performed. if the final value of
// `i` is not zero, then the chunks count wasn't enough to fill the state range, and an
// additional permutation must be performed.
let i = bytes.chunks(BINARY_CHUNK_SIZE).fold(0, |i, chunk| {
// the last element of the iteration may or may not be a full chunk. if it's not, then
// we need to pad the remainder bytes of the chunk with zeroes, separated by a `1`.
// this will avoid collisions.
if chunk.len() == BINARY_CHUNK_SIZE {
buf[..BINARY_CHUNK_SIZE].copy_from_slice(chunk);
} else {
buf.fill(0);
buf[..chunk.len()].copy_from_slice(chunk);
buf[chunk.len()] = 1;
}
// set the current rate element to the input. since we take at most 7 bytes, we are
// guaranteed that the inputs data will fit into a single field element.
state[RATE_RANGE.start + i] = Felt::new(u64::from_le_bytes(buf));
// proceed filling the range. if it's full, then we apply a permutation and reset the
// counter to the beginning of the range.
if i == RATE_WIDTH - 1 {
Self::apply_permutation(&mut state);
0
} else {
i + 1
}
});
// if we absorbed some elements but didn't apply a permutation to them (would happen when
// the number of elements is not a multiple of RATE_WIDTH), apply the RPO permutation. we
// don't need to apply any extra padding because the first capacity element contains a
// flag indicating whether the input is evenly divisible by the rate.
if i != 0 {
state[RATE_RANGE.start + i..RATE_RANGE.end].fill(ZERO);
state[RATE_RANGE.start + i] = ONE;
Self::apply_permutation(&mut state);
}
// return the first 4 elements of the rate as hash result.
RpoDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
fn merge(values: &[Self::Digest; 2]) -> Self::Digest {
// initialize the state by copying the digest elements into the rate portion of the state
// (8 total elements), and set the capacity elements to 0.
let mut state = [ZERO; STATE_WIDTH];
let it = Self::Digest::digests_as_elements(values.iter());
for (i, v) in it.enumerate() {
state[RATE_RANGE.start + i] = *v;
}
// apply the RPO permutation and return the first four elements of the state
Self::apply_permutation(&mut state);
RpoDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
fn merge_with_int(seed: Self::Digest, value: u64) -> Self::Digest {
// initialize the state as follows:
// - seed is copied into the first 4 elements of the rate portion of the state.
// - if the value fits into a single field element, copy it into the fifth rate element
// and set the sixth rate element to 1.
// - if the value doesn't fit into a single field element, split it into two field
// elements, copy them into rate elements 5 and 6, and set the seventh rate element
// to 1.
// - set the first capacity element to 1
let mut state = [ZERO; STATE_WIDTH];
state[INPUT1_RANGE].copy_from_slice(seed.as_elements());
state[INPUT2_RANGE.start] = Felt::new(value);
if value < Felt::MODULUS {
state[INPUT2_RANGE.start + 1] = ONE;
} else {
state[INPUT2_RANGE.start + 1] = Felt::new(value / Felt::MODULUS);
state[INPUT2_RANGE.start + 2] = ONE;
}
// common padding for both cases
state[CAPACITY_RANGE.start] = ONE;
// apply the RPO permutation and return the first four elements of the state
Self::apply_permutation(&mut state);
RpoDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
}
impl ElementHasher for Rpo256 {
type BaseField = Felt;
fn hash_elements<E: FieldElement<BaseField = Self::BaseField>>(elements: &[E]) -> Self::Digest {
// convert the elements into a list of base field elements
let elements = E::slice_as_base_elements(elements);
// initialize state to all zeros, except for the first element of the capacity part, which
// is set to 1 if the number of elements is not a multiple of RATE_WIDTH.
let mut state = [ZERO; STATE_WIDTH];
if elements.len() % RATE_WIDTH != 0 {
state[CAPACITY_RANGE.start] = ONE;
}
// absorb elements into the state one by one until the rate portion of the state is filled
// up; then apply the Rescue permutation and start absorbing again; repeat until all
// elements have been absorbed
let mut i = 0;
for &element in elements.iter() {
state[RATE_RANGE.start + i] = element;
i += 1;
if i % RATE_WIDTH == 0 {
Self::apply_permutation(&mut state);
i = 0;
}
}
// if we absorbed some elements but didn't apply a permutation to them (would happen when
// the number of elements is not a multiple of RATE_WIDTH), apply the RPO permutation after
// padding by appending a 1 followed by as many 0 as necessary to make the input length a
// multiple of the RATE_WIDTH.
if i > 0 {
state[RATE_RANGE.start + i] = ONE;
i += 1;
while i != RATE_WIDTH {
state[RATE_RANGE.start + i] = ZERO;
i += 1;
}
Self::apply_permutation(&mut state);
}
// return the first 4 elements of the state as hash result
RpoDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
}
// HASH FUNCTION IMPLEMENTATION
// ================================================================================================
impl Rpo256 {
// CONSTANTS
// --------------------------------------------------------------------------------------------
/// The number of rounds is set to 7 to target 128-bit security level.
pub const NUM_ROUNDS: usize = NUM_ROUNDS;
/// Sponge state is set to 12 field elements or 768 bytes; 8 elements are reserved for rate and
/// the remaining 4 elements are reserved for capacity.
pub const STATE_WIDTH: usize = STATE_WIDTH;
/// The rate portion of the state is located in elements 4 through 11 (inclusive).
pub const RATE_RANGE: Range<usize> = RATE_RANGE;
/// The capacity portion of the state is located in elements 0, 1, 2, and 3.
pub const CAPACITY_RANGE: Range<usize> = CAPACITY_RANGE;
/// The output of the hash function can be read from state elements 4, 5, 6, and 7.
pub const DIGEST_RANGE: Range<usize> = DIGEST_RANGE;
/// MDS matrix used for computing the linear layer in a RPO round.
pub const MDS: [[Felt; STATE_WIDTH]; STATE_WIDTH] = MDS;
/// Round constants added to the hasher state in the first half of the RPO round.
pub const ARK1: [[Felt; STATE_WIDTH]; NUM_ROUNDS] = ARK1;
/// Round constants added to the hasher state in the second half of the RPO round.
pub const ARK2: [[Felt; STATE_WIDTH]; NUM_ROUNDS] = ARK2;
// TRAIT PASS-THROUGH FUNCTIONS
// --------------------------------------------------------------------------------------------
/// Returns a hash of the provided sequence of bytes.
#[inline(always)]
pub fn hash(bytes: &[u8]) -> RpoDigest {
<Self as Hasher>::hash(bytes)
}
/// Returns a hash of two digests. This method is intended for use in construction of
/// Merkle trees and verification of Merkle paths.
#[inline(always)]
pub fn merge(values: &[RpoDigest; 2]) -> RpoDigest {
<Self as Hasher>::merge(values)
}
/// Returns a hash of the provided field elements.
#[inline(always)]
pub fn hash_elements<E: FieldElement<BaseField = Felt>>(elements: &[E]) -> RpoDigest {
<Self as ElementHasher>::hash_elements(elements)
}
// DOMAIN IDENTIFIER
// --------------------------------------------------------------------------------------------
/// Returns a hash of two digests and a domain identifier.
pub fn merge_in_domain(values: &[RpoDigest; 2], domain: Felt) -> RpoDigest {
// initialize the state by copying the digest elements into the rate portion of the state
// (8 total elements), and set the capacity elements to 0.
let mut state = [ZERO; STATE_WIDTH];
let it = RpoDigest::digests_as_elements(values.iter());
for (i, v) in it.enumerate() {
state[RATE_RANGE.start + i] = *v;
}
// set the second capacity element to the domain value. The first capacity element is used
// for padding purposes.
state[CAPACITY_RANGE.start + 1] = domain;
// apply the RPO permutation and return the first four elements of the state
Self::apply_permutation(&mut state);
RpoDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
// RESCUE PERMUTATION
// --------------------------------------------------------------------------------------------
/// Applies RPO permutation to the provided state.
#[inline(always)]
pub fn apply_permutation(state: &mut [Felt; STATE_WIDTH]) {
for i in 0..NUM_ROUNDS {
Self::apply_round(state, i);
}
}
/// RPO round function.
#[inline(always)]
pub fn apply_round(state: &mut [Felt; STATE_WIDTH], round: usize) {
// apply first half of RPO round
apply_mds(state);
if !add_constants_and_apply_sbox(state, &ARK1[round]) {
add_constants(state, &ARK1[round]);
apply_sbox(state);
}
// apply second half of RPO round
apply_mds(state);
if !add_constants_and_apply_inv_sbox(state, &ARK2[round]) {
add_constants(state, &ARK2[round]);
apply_inv_sbox(state);
}
}
}

View File

@@ -1,6 +1,6 @@
use super::{ use super::{
Felt, FieldElement, Hasher, Rpo256, RpoDigest, StarkField, ALPHA, INV_ALPHA, ONE, STATE_WIDTH, super::{apply_inv_sbox, apply_sbox, ALPHA, INV_ALPHA},
ZERO, Felt, FieldElement, Hasher, Rpo256, RpoDigest, StarkField, ONE, STATE_WIDTH, ZERO,
}; };
use crate::{ use crate::{
utils::collections::{BTreeSet, Vec}, utils::collections::{BTreeSet, Vec},
@@ -10,13 +10,6 @@ use core::convert::TryInto;
use proptest::prelude::*; use proptest::prelude::*;
use rand_utils::rand_value; use rand_utils::rand_value;
#[test]
fn test_alphas() {
let e: Felt = Felt::new(rand_value());
let e_exp = e.exp(ALPHA);
assert_eq!(e, e_exp.exp(INV_ALPHA));
}
#[test] #[test]
fn test_sbox() { fn test_sbox() {
let state = [Felt::new(rand_value()); STATE_WIDTH]; let state = [Felt::new(rand_value()); STATE_WIDTH];
@@ -25,7 +18,7 @@ fn test_sbox() {
expected.iter_mut().for_each(|v| *v = v.exp(ALPHA)); expected.iter_mut().for_each(|v| *v = v.exp(ALPHA));
let mut actual = state; let mut actual = state;
Rpo256::apply_sbox(&mut actual); apply_sbox(&mut actual);
assert_eq!(expected, actual); assert_eq!(expected, actual);
} }
@@ -38,7 +31,7 @@ fn test_inv_sbox() {
expected.iter_mut().for_each(|v| *v = v.exp(INV_ALPHA)); expected.iter_mut().for_each(|v| *v = v.exp(INV_ALPHA));
let mut actual = state; let mut actual = state;
Rpo256::apply_inv_sbox(&mut actual); apply_inv_sbox(&mut actual);
assert_eq!(expected, actual); assert_eq!(expected, actual);
} }
@@ -105,7 +98,7 @@ fn hash_elements_vs_merge_with_int() {
let mut elements = seed.as_elements().to_vec(); let mut elements = seed.as_elements().to_vec();
elements.push(Felt::new(val)); elements.push(Felt::new(val));
elements.push(Felt::new(1)); elements.push(ONE);
let h_result = Rpo256::hash_elements(&elements); let h_result = Rpo256::hash_elements(&elements);
assert_eq!(m_result, h_result); assert_eq!(m_result, h_result);
@@ -147,8 +140,8 @@ fn hash_elements_padding() {
#[test] #[test]
fn hash_elements() { fn hash_elements() {
let elements = [ let elements = [
Felt::new(0), ZERO,
Felt::new(1), ONE,
Felt::new(2), Felt::new(2),
Felt::new(3), Felt::new(3),
Felt::new(4), Felt::new(4),
@@ -170,8 +163,8 @@ fn hash_elements() {
#[test] #[test]
fn hash_test_vectors() { fn hash_test_vectors() {
let elements = [ let elements = [
Felt::new(0), ZERO,
Felt::new(1), ONE,
Felt::new(2), Felt::new(2),
Felt::new(3), Felt::new(3),
Felt::new(4), Felt::new(4),

View File

@@ -0,0 +1,398 @@
use super::{Digest, Felt, StarkField, DIGEST_BYTES, DIGEST_SIZE, ZERO};
use crate::utils::{
bytes_to_hex_string, hex_to_bytes, string::String, ByteReader, ByteWriter, Deserializable,
DeserializationError, HexParseError, Serializable,
};
use core::{cmp::Ordering, fmt::Display, ops::Deref};
use winter_utils::Randomizable;
// DIGEST TRAIT IMPLEMENTATIONS
// ================================================================================================
#[derive(Debug, Default, Copy, Clone, Eq, PartialEq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
#[cfg_attr(feature = "serde", serde(into = "String", try_from = "&str"))]
pub struct RpxDigest([Felt; DIGEST_SIZE]);
impl RpxDigest {
pub const fn new(value: [Felt; DIGEST_SIZE]) -> Self {
Self(value)
}
pub fn as_elements(&self) -> &[Felt] {
self.as_ref()
}
pub fn as_bytes(&self) -> [u8; DIGEST_BYTES] {
<Self as Digest>::as_bytes(self)
}
pub fn digests_as_elements<'a, I>(digests: I) -> impl Iterator<Item = &'a Felt>
where
I: Iterator<Item = &'a Self>,
{
digests.flat_map(|d| d.0.iter())
}
}
impl Digest for RpxDigest {
fn as_bytes(&self) -> [u8; DIGEST_BYTES] {
let mut result = [0; DIGEST_BYTES];
result[..8].copy_from_slice(&self.0[0].as_int().to_le_bytes());
result[8..16].copy_from_slice(&self.0[1].as_int().to_le_bytes());
result[16..24].copy_from_slice(&self.0[2].as_int().to_le_bytes());
result[24..].copy_from_slice(&self.0[3].as_int().to_le_bytes());
result
}
}
impl Deref for RpxDigest {
type Target = [Felt; DIGEST_SIZE];
fn deref(&self) -> &Self::Target {
&self.0
}
}
impl Ord for RpxDigest {
fn cmp(&self, other: &Self) -> Ordering {
// compare the inner u64 of both elements.
//
// it will iterate the elements and will return the first computation different than
// `Equal`. Otherwise, the ordering is equal.
//
// the endianness is irrelevant here because since, this being a cryptographically secure
// hash computation, the digest shouldn't have any ordered property of its input.
//
// finally, we use `Felt::inner` instead of `Felt::as_int` so we avoid performing a
// montgomery reduction for every limb. that is safe because every inner element of the
// digest is guaranteed to be in its canonical form (that is, `x in [0,p)`).
self.0.iter().map(Felt::inner).zip(other.0.iter().map(Felt::inner)).fold(
Ordering::Equal,
|ord, (a, b)| match ord {
Ordering::Equal => a.cmp(&b),
_ => ord,
},
)
}
}
impl PartialOrd for RpxDigest {
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
Some(self.cmp(other))
}
}
impl Display for RpxDigest {
fn fmt(&self, f: &mut core::fmt::Formatter<'_>) -> core::fmt::Result {
let encoded: String = self.into();
write!(f, "{}", encoded)?;
Ok(())
}
}
impl Randomizable for RpxDigest {
const VALUE_SIZE: usize = DIGEST_BYTES;
fn from_random_bytes(bytes: &[u8]) -> Option<Self> {
let bytes_array: Option<[u8; 32]> = bytes.try_into().ok();
if let Some(bytes_array) = bytes_array {
Self::try_from(bytes_array).ok()
} else {
None
}
}
}
// CONVERSIONS: FROM RPX DIGEST
// ================================================================================================
impl From<&RpxDigest> for [Felt; DIGEST_SIZE] {
fn from(value: &RpxDigest) -> Self {
value.0
}
}
impl From<RpxDigest> for [Felt; DIGEST_SIZE] {
fn from(value: RpxDigest) -> Self {
value.0
}
}
impl From<&RpxDigest> for [u64; DIGEST_SIZE] {
fn from(value: &RpxDigest) -> Self {
[
value.0[0].as_int(),
value.0[1].as_int(),
value.0[2].as_int(),
value.0[3].as_int(),
]
}
}
impl From<RpxDigest> for [u64; DIGEST_SIZE] {
fn from(value: RpxDigest) -> Self {
[
value.0[0].as_int(),
value.0[1].as_int(),
value.0[2].as_int(),
value.0[3].as_int(),
]
}
}
impl From<&RpxDigest> for [u8; DIGEST_BYTES] {
fn from(value: &RpxDigest) -> Self {
value.as_bytes()
}
}
impl From<RpxDigest> for [u8; DIGEST_BYTES] {
fn from(value: RpxDigest) -> Self {
value.as_bytes()
}
}
impl From<RpxDigest> for String {
/// The returned string starts with `0x`.
fn from(value: RpxDigest) -> Self {
bytes_to_hex_string(value.as_bytes())
}
}
impl From<&RpxDigest> for String {
/// The returned string starts with `0x`.
fn from(value: &RpxDigest) -> Self {
(*value).into()
}
}
// CONVERSIONS: TO RPX DIGEST
// ================================================================================================
#[derive(Copy, Clone, Debug)]
pub enum RpxDigestError {
/// The provided u64 integer does not fit in the field's moduli.
InvalidInteger,
}
impl From<&[Felt; DIGEST_SIZE]> for RpxDigest {
fn from(value: &[Felt; DIGEST_SIZE]) -> Self {
Self(*value)
}
}
impl From<[Felt; DIGEST_SIZE]> for RpxDigest {
fn from(value: [Felt; DIGEST_SIZE]) -> Self {
Self(value)
}
}
impl TryFrom<[u8; DIGEST_BYTES]> for RpxDigest {
type Error = HexParseError;
fn try_from(value: [u8; DIGEST_BYTES]) -> Result<Self, Self::Error> {
// Note: the input length is known, the conversion from slice to array must succeed so the
// `unwrap`s below are safe
let a = u64::from_le_bytes(value[0..8].try_into().unwrap());
let b = u64::from_le_bytes(value[8..16].try_into().unwrap());
let c = u64::from_le_bytes(value[16..24].try_into().unwrap());
let d = u64::from_le_bytes(value[24..32].try_into().unwrap());
if [a, b, c, d].iter().any(|v| *v >= Felt::MODULUS) {
return Err(HexParseError::OutOfRange);
}
Ok(RpxDigest([Felt::new(a), Felt::new(b), Felt::new(c), Felt::new(d)]))
}
}
impl TryFrom<&[u8; DIGEST_BYTES]> for RpxDigest {
type Error = HexParseError;
fn try_from(value: &[u8; DIGEST_BYTES]) -> Result<Self, Self::Error> {
(*value).try_into()
}
}
impl TryFrom<&[u8]> for RpxDigest {
type Error = HexParseError;
fn try_from(value: &[u8]) -> Result<Self, Self::Error> {
(*value).try_into()
}
}
impl TryFrom<[u64; DIGEST_SIZE]> for RpxDigest {
type Error = RpxDigestError;
fn try_from(value: [u64; DIGEST_SIZE]) -> Result<Self, RpxDigestError> {
if value[0] >= Felt::MODULUS
|| value[1] >= Felt::MODULUS
|| value[2] >= Felt::MODULUS
|| value[3] >= Felt::MODULUS
{
return Err(RpxDigestError::InvalidInteger);
}
Ok(Self([value[0].into(), value[1].into(), value[2].into(), value[3].into()]))
}
}
impl TryFrom<&[u64; DIGEST_SIZE]> for RpxDigest {
type Error = RpxDigestError;
fn try_from(value: &[u64; DIGEST_SIZE]) -> Result<Self, RpxDigestError> {
(*value).try_into()
}
}
impl TryFrom<&str> for RpxDigest {
type Error = HexParseError;
/// Expects the string to start with `0x`.
fn try_from(value: &str) -> Result<Self, Self::Error> {
hex_to_bytes(value).and_then(|v| v.try_into())
}
}
impl TryFrom<String> for RpxDigest {
type Error = HexParseError;
/// Expects the string to start with `0x`.
fn try_from(value: String) -> Result<Self, Self::Error> {
value.as_str().try_into()
}
}
impl TryFrom<&String> for RpxDigest {
type Error = HexParseError;
/// Expects the string to start with `0x`.
fn try_from(value: &String) -> Result<Self, Self::Error> {
value.as_str().try_into()
}
}
// SERIALIZATION / DESERIALIZATION
// ================================================================================================
impl Serializable for RpxDigest {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
target.write_bytes(&self.as_bytes());
}
}
impl Deserializable for RpxDigest {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let mut inner: [Felt; DIGEST_SIZE] = [ZERO; DIGEST_SIZE];
for inner in inner.iter_mut() {
let e = source.read_u64()?;
if e >= Felt::MODULUS {
return Err(DeserializationError::InvalidValue(String::from(
"Value not in the appropriate range",
)));
}
*inner = Felt::new(e);
}
Ok(Self(inner))
}
}
// TESTS
// ================================================================================================
#[cfg(test)]
mod tests {
use super::{Deserializable, Felt, RpxDigest, Serializable, DIGEST_BYTES, DIGEST_SIZE};
use crate::utils::{string::String, SliceReader};
use rand_utils::rand_value;
#[test]
fn digest_serialization() {
let e1 = Felt::new(rand_value());
let e2 = Felt::new(rand_value());
let e3 = Felt::new(rand_value());
let e4 = Felt::new(rand_value());
let d1 = RpxDigest([e1, e2, e3, e4]);
let mut bytes = vec![];
d1.write_into(&mut bytes);
assert_eq!(DIGEST_BYTES, bytes.len());
let mut reader = SliceReader::new(&bytes);
let d2 = RpxDigest::read_from(&mut reader).unwrap();
assert_eq!(d1, d2);
}
#[cfg(feature = "std")]
#[test]
fn digest_encoding() {
let digest = RpxDigest([
Felt::new(rand_value()),
Felt::new(rand_value()),
Felt::new(rand_value()),
Felt::new(rand_value()),
]);
let string: String = digest.into();
let round_trip: RpxDigest = string.try_into().expect("decoding failed");
assert_eq!(digest, round_trip);
}
#[test]
fn test_conversions() {
let digest = RpxDigest([
Felt::new(rand_value()),
Felt::new(rand_value()),
Felt::new(rand_value()),
Felt::new(rand_value()),
]);
let v: [Felt; DIGEST_SIZE] = digest.into();
let v2: RpxDigest = v.into();
assert_eq!(digest, v2);
let v: [Felt; DIGEST_SIZE] = (&digest).into();
let v2: RpxDigest = v.into();
assert_eq!(digest, v2);
let v: [u64; DIGEST_SIZE] = digest.into();
let v2: RpxDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: [u64; DIGEST_SIZE] = (&digest).into();
let v2: RpxDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: [u8; DIGEST_BYTES] = digest.into();
let v2: RpxDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: [u8; DIGEST_BYTES] = (&digest).into();
let v2: RpxDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: String = digest.into();
let v2: RpxDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: String = (&digest).into();
let v2: RpxDigest = v.try_into().unwrap();
assert_eq!(digest, v2);
let v: [u8; DIGEST_BYTES] = digest.into();
let v2: RpxDigest = (&v).try_into().unwrap();
assert_eq!(digest, v2);
let v: [u8; DIGEST_BYTES] = (&digest).into();
let v2: RpxDigest = (&v).try_into().unwrap();
assert_eq!(digest, v2);
}
}

366
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use super::{
add_constants, add_constants_and_apply_inv_sbox, add_constants_and_apply_sbox, apply_inv_sbox,
apply_mds, apply_sbox, CubeExtension, Digest, ElementHasher, Felt, FieldElement, Hasher,
StarkField, ARK1, ARK2, BINARY_CHUNK_SIZE, CAPACITY_RANGE, DIGEST_BYTES, DIGEST_RANGE,
DIGEST_SIZE, INPUT1_RANGE, INPUT2_RANGE, MDS, NUM_ROUNDS, ONE, RATE_RANGE, RATE_WIDTH,
STATE_WIDTH, ZERO,
};
use core::{convert::TryInto, ops::Range};
mod digest;
pub use digest::RpxDigest;
pub type CubicExtElement = CubeExtension<Felt>;
// HASHER IMPLEMENTATION
// ================================================================================================
/// Implementation of the Rescue Prime eXtension hash function with 256-bit output.
///
/// The hash function is based on the XHash12 construction in [specifications](https://eprint.iacr.org/2023/1045)
///
/// The parameters used to instantiate the function are:
/// * Field: 64-bit prime field with modulus 2^64 - 2^32 + 1.
/// * State width: 12 field elements.
/// * Capacity size: 4 field elements.
/// * S-Box degree: 7.
/// * Rounds: There are 3 different types of rounds:
/// - (FB): `apply_mds` → `add_constants` → `apply_sbox` → `apply_mds` → `add_constants` → `apply_inv_sbox`.
/// - (E): `add_constants` → `ext_sbox` (which is raising to power 7 in the degree 3 extension field).
/// - (M): `apply_mds` → `add_constants`.
/// * Permutation: (FB) (E) (FB) (E) (FB) (E) (M).
///
/// The above parameters target 128-bit security level. The digest consists of four field elements
/// and it can be serialized into 32 bytes (256 bits).
///
/// ## Hash output consistency
/// Functions [hash_elements()](Rpx256::hash_elements), [merge()](Rpx256::merge), and
/// [merge_with_int()](Rpx256::merge_with_int) are internally consistent. That is, computing
/// a hash for the same set of elements using these functions will always produce the same
/// result. For example, merging two digests using [merge()](Rpx256::merge) will produce the
/// same result as hashing 8 elements which make up these digests using
/// [hash_elements()](Rpx256::hash_elements) function.
///
/// However, [hash()](Rpx256::hash) function is not consistent with functions mentioned above.
/// For example, if we take two field elements, serialize them to bytes and hash them using
/// [hash()](Rpx256::hash), the result will differ from the result obtained by hashing these
/// elements directly using [hash_elements()](Rpx256::hash_elements) function. The reason for
/// this difference is that [hash()](Rpx256::hash) function needs to be able to handle
/// arbitrary binary strings, which may or may not encode valid field elements - and thus,
/// deserialization procedure used by this function is different from the procedure used to
/// deserialize valid field elements.
///
/// Thus, if the underlying data consists of valid field elements, it might make more sense
/// to deserialize them into field elements and then hash them using
/// [hash_elements()](Rpx256::hash_elements) function rather then hashing the serialized bytes
/// using [hash()](Rpx256::hash) function.
#[derive(Debug, Copy, Clone, Eq, PartialEq)]
pub struct Rpx256();
impl Hasher for Rpx256 {
/// Rpx256 collision resistance is the same as the security level, that is 128-bits.
///
/// #### Collision resistance
///
/// However, our setup of the capacity registers might drop it to 126.
///
/// Related issue: [#69](https://github.com/0xPolygonMiden/crypto/issues/69)
const COLLISION_RESISTANCE: u32 = 128;
type Digest = RpxDigest;
fn hash(bytes: &[u8]) -> Self::Digest {
// initialize the state with zeroes
let mut state = [ZERO; STATE_WIDTH];
// set the capacity (first element) to a flag on whether or not the input length is evenly
// divided by the rate. this will prevent collisions between padded and non-padded inputs,
// and will rule out the need to perform an extra permutation in case of evenly divided
// inputs.
let is_rate_multiple = bytes.len() % RATE_WIDTH == 0;
if !is_rate_multiple {
state[CAPACITY_RANGE.start] = ONE;
}
// initialize a buffer to receive the little-endian elements.
let mut buf = [0_u8; 8];
// iterate the chunks of bytes, creating a field element from each chunk and copying it
// into the state.
//
// every time the rate range is filled, a permutation is performed. if the final value of
// `i` is not zero, then the chunks count wasn't enough to fill the state range, and an
// additional permutation must be performed.
let i = bytes.chunks(BINARY_CHUNK_SIZE).fold(0, |i, chunk| {
// the last element of the iteration may or may not be a full chunk. if it's not, then
// we need to pad the remainder bytes of the chunk with zeroes, separated by a `1`.
// this will avoid collisions.
if chunk.len() == BINARY_CHUNK_SIZE {
buf[..BINARY_CHUNK_SIZE].copy_from_slice(chunk);
} else {
buf.fill(0);
buf[..chunk.len()].copy_from_slice(chunk);
buf[chunk.len()] = 1;
}
// set the current rate element to the input. since we take at most 7 bytes, we are
// guaranteed that the inputs data will fit into a single field element.
state[RATE_RANGE.start + i] = Felt::new(u64::from_le_bytes(buf));
// proceed filling the range. if it's full, then we apply a permutation and reset the
// counter to the beginning of the range.
if i == RATE_WIDTH - 1 {
Self::apply_permutation(&mut state);
0
} else {
i + 1
}
});
// if we absorbed some elements but didn't apply a permutation to them (would happen when
// the number of elements is not a multiple of RATE_WIDTH), apply the RPX permutation. we
// don't need to apply any extra padding because the first capacity element contains a
// flag indicating whether the input is evenly divisible by the rate.
if i != 0 {
state[RATE_RANGE.start + i..RATE_RANGE.end].fill(ZERO);
state[RATE_RANGE.start + i] = ONE;
Self::apply_permutation(&mut state);
}
// return the first 4 elements of the rate as hash result.
RpxDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
fn merge(values: &[Self::Digest; 2]) -> Self::Digest {
// initialize the state by copying the digest elements into the rate portion of the state
// (8 total elements), and set the capacity elements to 0.
let mut state = [ZERO; STATE_WIDTH];
let it = Self::Digest::digests_as_elements(values.iter());
for (i, v) in it.enumerate() {
state[RATE_RANGE.start + i] = *v;
}
// apply the RPX permutation and return the first four elements of the state
Self::apply_permutation(&mut state);
RpxDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
fn merge_with_int(seed: Self::Digest, value: u64) -> Self::Digest {
// initialize the state as follows:
// - seed is copied into the first 4 elements of the rate portion of the state.
// - if the value fits into a single field element, copy it into the fifth rate element
// and set the sixth rate element to 1.
// - if the value doesn't fit into a single field element, split it into two field
// elements, copy them into rate elements 5 and 6, and set the seventh rate element
// to 1.
// - set the first capacity element to 1
let mut state = [ZERO; STATE_WIDTH];
state[INPUT1_RANGE].copy_from_slice(seed.as_elements());
state[INPUT2_RANGE.start] = Felt::new(value);
if value < Felt::MODULUS {
state[INPUT2_RANGE.start + 1] = ONE;
} else {
state[INPUT2_RANGE.start + 1] = Felt::new(value / Felt::MODULUS);
state[INPUT2_RANGE.start + 2] = ONE;
}
// common padding for both cases
state[CAPACITY_RANGE.start] = ONE;
// apply the RPX permutation and return the first four elements of the state
Self::apply_permutation(&mut state);
RpxDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
}
impl ElementHasher for Rpx256 {
type BaseField = Felt;
fn hash_elements<E: FieldElement<BaseField = Self::BaseField>>(elements: &[E]) -> Self::Digest {
// convert the elements into a list of base field elements
let elements = E::slice_as_base_elements(elements);
// initialize state to all zeros, except for the first element of the capacity part, which
// is set to 1 if the number of elements is not a multiple of RATE_WIDTH.
let mut state = [ZERO; STATE_WIDTH];
if elements.len() % RATE_WIDTH != 0 {
state[CAPACITY_RANGE.start] = ONE;
}
// absorb elements into the state one by one until the rate portion of the state is filled
// up; then apply the Rescue permutation and start absorbing again; repeat until all
// elements have been absorbed
let mut i = 0;
for &element in elements.iter() {
state[RATE_RANGE.start + i] = element;
i += 1;
if i % RATE_WIDTH == 0 {
Self::apply_permutation(&mut state);
i = 0;
}
}
// if we absorbed some elements but didn't apply a permutation to them (would happen when
// the number of elements is not a multiple of RATE_WIDTH), apply the RPX permutation after
// padding by appending a 1 followed by as many 0 as necessary to make the input length a
// multiple of the RATE_WIDTH.
if i > 0 {
state[RATE_RANGE.start + i] = ONE;
i += 1;
while i != RATE_WIDTH {
state[RATE_RANGE.start + i] = ZERO;
i += 1;
}
Self::apply_permutation(&mut state);
}
// return the first 4 elements of the state as hash result
RpxDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
}
// HASH FUNCTION IMPLEMENTATION
// ================================================================================================
impl Rpx256 {
// CONSTANTS
// --------------------------------------------------------------------------------------------
/// Sponge state is set to 12 field elements or 768 bytes; 8 elements are reserved for rate and
/// the remaining 4 elements are reserved for capacity.
pub const STATE_WIDTH: usize = STATE_WIDTH;
/// The rate portion of the state is located in elements 4 through 11 (inclusive).
pub const RATE_RANGE: Range<usize> = RATE_RANGE;
/// The capacity portion of the state is located in elements 0, 1, 2, and 3.
pub const CAPACITY_RANGE: Range<usize> = CAPACITY_RANGE;
/// The output of the hash function can be read from state elements 4, 5, 6, and 7.
pub const DIGEST_RANGE: Range<usize> = DIGEST_RANGE;
/// MDS matrix used for computing the linear layer in the (FB) and (E) rounds.
pub const MDS: [[Felt; STATE_WIDTH]; STATE_WIDTH] = MDS;
/// Round constants added to the hasher state in the first half of the round.
pub const ARK1: [[Felt; STATE_WIDTH]; NUM_ROUNDS] = ARK1;
/// Round constants added to the hasher state in the second half of the round.
pub const ARK2: [[Felt; STATE_WIDTH]; NUM_ROUNDS] = ARK2;
// TRAIT PASS-THROUGH FUNCTIONS
// --------------------------------------------------------------------------------------------
/// Returns a hash of the provided sequence of bytes.
#[inline(always)]
pub fn hash(bytes: &[u8]) -> RpxDigest {
<Self as Hasher>::hash(bytes)
}
/// Returns a hash of two digests. This method is intended for use in construction of
/// Merkle trees and verification of Merkle paths.
#[inline(always)]
pub fn merge(values: &[RpxDigest; 2]) -> RpxDigest {
<Self as Hasher>::merge(values)
}
/// Returns a hash of the provided field elements.
#[inline(always)]
pub fn hash_elements<E: FieldElement<BaseField = Felt>>(elements: &[E]) -> RpxDigest {
<Self as ElementHasher>::hash_elements(elements)
}
// DOMAIN IDENTIFIER
// --------------------------------------------------------------------------------------------
/// Returns a hash of two digests and a domain identifier.
pub fn merge_in_domain(values: &[RpxDigest; 2], domain: Felt) -> RpxDigest {
// initialize the state by copying the digest elements into the rate portion of the state
// (8 total elements), and set the capacity elements to 0.
let mut state = [ZERO; STATE_WIDTH];
let it = RpxDigest::digests_as_elements(values.iter());
for (i, v) in it.enumerate() {
state[RATE_RANGE.start + i] = *v;
}
// set the second capacity element to the domain value. The first capacity element is used
// for padding purposes.
state[CAPACITY_RANGE.start + 1] = domain;
// apply the RPX permutation and return the first four elements of the state
Self::apply_permutation(&mut state);
RpxDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
// RPX PERMUTATION
// --------------------------------------------------------------------------------------------
/// Applies RPX permutation to the provided state.
#[inline(always)]
pub fn apply_permutation(state: &mut [Felt; STATE_WIDTH]) {
Self::apply_fb_round(state, 0);
Self::apply_ext_round(state, 1);
Self::apply_fb_round(state, 2);
Self::apply_ext_round(state, 3);
Self::apply_fb_round(state, 4);
Self::apply_ext_round(state, 5);
Self::apply_final_round(state, 6);
}
// RPX PERMUTATION ROUND FUNCTIONS
// --------------------------------------------------------------------------------------------
/// (FB) round function.
#[inline(always)]
pub fn apply_fb_round(state: &mut [Felt; STATE_WIDTH], round: usize) {
apply_mds(state);
if !add_constants_and_apply_sbox(state, &ARK1[round]) {
add_constants(state, &ARK1[round]);
apply_sbox(state);
}
apply_mds(state);
if !add_constants_and_apply_inv_sbox(state, &ARK2[round]) {
add_constants(state, &ARK2[round]);
apply_inv_sbox(state);
}
}
/// (E) round function.
#[inline(always)]
pub fn apply_ext_round(state: &mut [Felt; STATE_WIDTH], round: usize) {
// add constants
add_constants(state, &ARK1[round]);
// decompose the state into 4 elements in the cubic extension field and apply the power 7
// map to each of the elements
let [s0, s1, s2, s3, s4, s5, s6, s7, s8, s9, s10, s11] = *state;
let ext0 = Self::exp7(CubicExtElement::new(s0, s1, s2));
let ext1 = Self::exp7(CubicExtElement::new(s3, s4, s5));
let ext2 = Self::exp7(CubicExtElement::new(s6, s7, s8));
let ext3 = Self::exp7(CubicExtElement::new(s9, s10, s11));
// decompose the state back into 12 base field elements
let arr_ext = [ext0, ext1, ext2, ext3];
*state = CubicExtElement::slice_as_base_elements(&arr_ext)
.try_into()
.expect("shouldn't fail");
}
/// (M) round function.
#[inline(always)]
pub fn apply_final_round(state: &mut [Felt; STATE_WIDTH], round: usize) {
apply_mds(state);
add_constants(state, &ARK1[round]);
}
/// Computes an exponentiation to the power 7 in cubic extension field
#[inline(always)]
pub fn exp7(x: CubeExtension<Felt>) -> CubeExtension<Felt> {
let x2 = x.square();
let x4 = x2.square();
let x3 = x2 * x;
x3 * x4
}
}

9
src/hash/rescue/tests.rs Normal file
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@@ -0,0 +1,9 @@
use super::{Felt, FieldElement, ALPHA, INV_ALPHA};
use rand_utils::rand_value;
#[test]
fn test_alphas() {
let e: Felt = Felt::new(rand_value());
let e_exp = e.exp(ALPHA);
assert_eq!(e, e_exp.exp(INV_ALPHA));
}

View File

@@ -1,196 +0,0 @@
use super::{Digest, Felt, StarkField, DIGEST_SIZE, ZERO};
use crate::utils::{
string::String, ByteReader, ByteWriter, Deserializable, DeserializationError, Serializable,
};
use core::{cmp::Ordering, fmt::Display, ops::Deref};
// DIGEST TRAIT IMPLEMENTATIONS
// ================================================================================================
#[derive(Debug, Default, Copy, Clone, Eq, PartialEq)]
pub struct RpoDigest([Felt; DIGEST_SIZE]);
impl RpoDigest {
pub const fn new(value: [Felt; DIGEST_SIZE]) -> Self {
Self(value)
}
pub fn as_elements(&self) -> &[Felt] {
self.as_ref()
}
pub fn as_bytes(&self) -> [u8; 32] {
<Self as Digest>::as_bytes(self)
}
pub fn digests_as_elements<'a, I>(digests: I) -> impl Iterator<Item = &'a Felt>
where
I: Iterator<Item = &'a Self>,
{
digests.flat_map(|d| d.0.iter())
}
}
impl Digest for RpoDigest {
fn as_bytes(&self) -> [u8; 32] {
let mut result = [0; 32];
result[..8].copy_from_slice(&self.0[0].as_int().to_le_bytes());
result[8..16].copy_from_slice(&self.0[1].as_int().to_le_bytes());
result[16..24].copy_from_slice(&self.0[2].as_int().to_le_bytes());
result[24..].copy_from_slice(&self.0[3].as_int().to_le_bytes());
result
}
}
impl Serializable for RpoDigest {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
target.write_bytes(&self.as_bytes());
}
}
impl Deserializable for RpoDigest {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let mut inner: [Felt; DIGEST_SIZE] = [ZERO; DIGEST_SIZE];
for inner in inner.iter_mut() {
let e = source.read_u64()?;
if e >= Felt::MODULUS {
return Err(DeserializationError::InvalidValue(String::from(
"Value not in the appropriate range",
)));
}
*inner = Felt::new(e);
}
Ok(Self(inner))
}
}
impl From<[Felt; DIGEST_SIZE]> for RpoDigest {
fn from(value: [Felt; DIGEST_SIZE]) -> Self {
Self(value)
}
}
impl From<&RpoDigest> for [Felt; DIGEST_SIZE] {
fn from(value: &RpoDigest) -> Self {
value.0
}
}
impl From<RpoDigest> for [Felt; DIGEST_SIZE] {
fn from(value: RpoDigest) -> Self {
value.0
}
}
impl From<&RpoDigest> for [u64; DIGEST_SIZE] {
fn from(value: &RpoDigest) -> Self {
[
value.0[0].as_int(),
value.0[1].as_int(),
value.0[2].as_int(),
value.0[3].as_int(),
]
}
}
impl From<RpoDigest> for [u64; DIGEST_SIZE] {
fn from(value: RpoDigest) -> Self {
[
value.0[0].as_int(),
value.0[1].as_int(),
value.0[2].as_int(),
value.0[3].as_int(),
]
}
}
impl From<&RpoDigest> for [u8; 32] {
fn from(value: &RpoDigest) -> Self {
value.as_bytes()
}
}
impl From<RpoDigest> for [u8; 32] {
fn from(value: RpoDigest) -> Self {
value.as_bytes()
}
}
impl Deref for RpoDigest {
type Target = [Felt; DIGEST_SIZE];
fn deref(&self) -> &Self::Target {
&self.0
}
}
impl Ord for RpoDigest {
fn cmp(&self, other: &Self) -> Ordering {
// compare the inner u64 of both elements.
//
// it will iterate the elements and will return the first computation different than
// `Equal`. Otherwise, the ordering is equal.
//
// the endianness is irrelevant here because since, this being a cryptographically secure
// hash computation, the digest shouldn't have any ordered property of its input.
//
// finally, we use `Felt::inner` instead of `Felt::as_int` so we avoid performing a
// montgomery reduction for every limb. that is safe because every inner element of the
// digest is guaranteed to be in its canonical form (that is, `x in [0,p)`).
self.0.iter().map(Felt::inner).zip(other.0.iter().map(Felt::inner)).fold(
Ordering::Equal,
|ord, (a, b)| match ord {
Ordering::Equal => a.cmp(&b),
_ => ord,
},
)
}
}
impl PartialOrd for RpoDigest {
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
Some(self.cmp(other))
}
}
impl Display for RpoDigest {
fn fmt(&self, f: &mut core::fmt::Formatter<'_>) -> core::fmt::Result {
for byte in self.as_bytes() {
write!(f, "{byte:02x}")?;
}
Ok(())
}
}
// TESTS
// ================================================================================================
#[cfg(test)]
mod tests {
use super::{Deserializable, Felt, RpoDigest, Serializable};
use crate::utils::SliceReader;
use rand_utils::rand_value;
#[test]
fn digest_serialization() {
let e1 = Felt::new(rand_value());
let e2 = Felt::new(rand_value());
let e3 = Felt::new(rand_value());
let e4 = Felt::new(rand_value());
let d1 = RpoDigest([e1, e2, e3, e4]);
let mut bytes = vec![];
d1.write_into(&mut bytes);
assert_eq!(32, bytes.len());
let mut reader = SliceReader::new(&bytes);
let d2 = RpoDigest::read_from(&mut reader).unwrap();
assert_eq!(d1, d2);
}
}

View File

@@ -1,845 +0,0 @@
use super::{Digest, ElementHasher, Felt, FieldElement, Hasher, StarkField, ONE, ZERO};
use core::{convert::TryInto, ops::Range};
mod digest;
pub use digest::RpoDigest;
mod mds_freq;
use mds_freq::mds_multiply_freq;
#[cfg(test)]
mod tests;
// CONSTANTS
// ================================================================================================
/// Sponge state is set to 12 field elements or 96 bytes; 8 elements are reserved for rate and
/// the remaining 4 elements are reserved for capacity.
const STATE_WIDTH: usize = 12;
/// The rate portion of the state is located in elements 4 through 11.
const RATE_RANGE: Range<usize> = 4..12;
const RATE_WIDTH: usize = RATE_RANGE.end - RATE_RANGE.start;
const INPUT1_RANGE: Range<usize> = 4..8;
const INPUT2_RANGE: Range<usize> = 8..12;
/// The capacity portion of the state is located in elements 0, 1, 2, and 3.
const CAPACITY_RANGE: Range<usize> = 0..4;
/// The output of the hash function is a digest which consists of 4 field elements or 32 bytes.
///
/// The digest is returned from state elements 4, 5, 6, and 7 (the first four elements of the
/// rate portion).
const DIGEST_RANGE: Range<usize> = 4..8;
const DIGEST_SIZE: usize = DIGEST_RANGE.end - DIGEST_RANGE.start;
/// The number of rounds is set to 7 to target 128-bit security level
const NUM_ROUNDS: usize = 7;
/// The number of byte chunks defining a field element when hashing a sequence of bytes
const BINARY_CHUNK_SIZE: usize = 7;
/// S-Box and Inverse S-Box powers;
///
/// The constants are defined for tests only because the exponentiations in the code are unrolled
/// for efficiency reasons.
#[cfg(test)]
const ALPHA: u64 = 7;
#[cfg(test)]
const INV_ALPHA: u64 = 10540996611094048183;
// HASHER IMPLEMENTATION
// ================================================================================================
/// Implementation of the Rescue Prime Optimized hash function with 256-bit output.
///
/// The hash function is implemented according to the Rescue Prime Optimized
/// [specifications](https://eprint.iacr.org/2022/1577)
///
/// The parameters used to instantiate the function are:
/// * Field: 64-bit prime field with modulus 2^64 - 2^32 + 1.
/// * State width: 12 field elements.
/// * Capacity size: 4 field elements.
/// * Number of founds: 7.
/// * S-Box degree: 7.
///
/// The above parameters target 128-bit security level. The digest consists of four field elements
/// and it can be serialized into 32 bytes (256 bits).
///
/// ## Hash output consistency
/// Functions [hash_elements()](Rpo256::hash_elements), [merge()](Rpo256::merge), and
/// [merge_with_int()](Rpo256::merge_with_int) are internally consistent. That is, computing
/// a hash for the same set of elements using these functions will always produce the same
/// result. For example, merging two digests using [merge()](Rpo256::merge) will produce the
/// same result as hashing 8 elements which make up these digests using
/// [hash_elements()](Rpo256::hash_elements) function.
///
/// However, [hash()](Rpo256::hash) function is not consistent with functions mentioned above.
/// For example, if we take two field elements, serialize them to bytes and hash them using
/// [hash()](Rpo256::hash), the result will differ from the result obtained by hashing these
/// elements directly using [hash_elements()](Rpo256::hash_elements) function. The reason for
/// this difference is that [hash()](Rpo256::hash) function needs to be able to handle
/// arbitrary binary strings, which may or may not encode valid field elements - and thus,
/// deserialization procedure used by this function is different from the procedure used to
/// deserialize valid field elements.
///
/// Thus, if the underlying data consists of valid field elements, it might make more sense
/// to deserialize them into field elements and then hash them using
/// [hash_elements()](Rpo256::hash_elements) function rather then hashing the serialized bytes
/// using [hash()](Rpo256::hash) function.
#[derive(Debug, Copy, Clone, Eq, PartialEq)]
pub struct Rpo256();
impl Hasher for Rpo256 {
/// Rpo256 collision resistance is the same as the security level, that is 128-bits.
///
/// #### Collision resistance
///
/// However, our setup of the capacity registers might drop it to 126.
///
/// Related issue: [#69](https://github.com/0xPolygonMiden/crypto/issues/69)
const COLLISION_RESISTANCE: u32 = 128;
type Digest = RpoDigest;
fn hash(bytes: &[u8]) -> Self::Digest {
// initialize the state with zeroes
let mut state = [ZERO; STATE_WIDTH];
// set the capacity (first element) to a flag on whether or not the input length is evenly
// divided by the rate. this will prevent collisions between padded and non-padded inputs,
// and will rule out the need to perform an extra permutation in case of evenly divided
// inputs.
let is_rate_multiple = bytes.len() % RATE_WIDTH == 0;
if !is_rate_multiple {
state[CAPACITY_RANGE.start] = ONE;
}
// initialize a buffer to receive the little-endian elements.
let mut buf = [0_u8; 8];
// iterate the chunks of bytes, creating a field element from each chunk and copying it
// into the state.
//
// every time the rate range is filled, a permutation is performed. if the final value of
// `i` is not zero, then the chunks count wasn't enough to fill the state range, and an
// additional permutation must be performed.
let i = bytes.chunks(BINARY_CHUNK_SIZE).fold(0, |i, chunk| {
// the last element of the iteration may or may not be a full chunk. if it's not, then
// we need to pad the remainder bytes of the chunk with zeroes, separated by a `1`.
// this will avoid collisions.
if chunk.len() == BINARY_CHUNK_SIZE {
buf[..BINARY_CHUNK_SIZE].copy_from_slice(chunk);
} else {
buf.fill(0);
buf[..chunk.len()].copy_from_slice(chunk);
buf[chunk.len()] = 1;
}
// set the current rate element to the input. since we take at most 7 bytes, we are
// guaranteed that the inputs data will fit into a single field element.
state[RATE_RANGE.start + i] = Felt::new(u64::from_le_bytes(buf));
// proceed filling the range. if it's full, then we apply a permutation and reset the
// counter to the beginning of the range.
if i == RATE_WIDTH - 1 {
Self::apply_permutation(&mut state);
0
} else {
i + 1
}
});
// if we absorbed some elements but didn't apply a permutation to them (would happen when
// the number of elements is not a multiple of RATE_WIDTH), apply the RPO permutation. we
// don't need to apply any extra padding because the first capacity element containts a
// flag indicating whether the input is evenly divisible by the rate.
if i != 0 {
state[RATE_RANGE.start + i..RATE_RANGE.end].fill(ZERO);
state[RATE_RANGE.start + i] = ONE;
Self::apply_permutation(&mut state);
}
// return the first 4 elements of the rate as hash result.
RpoDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
fn merge(values: &[Self::Digest; 2]) -> Self::Digest {
// initialize the state by copying the digest elements into the rate portion of the state
// (8 total elements), and set the capacity elements to 0.
let mut state = [ZERO; STATE_WIDTH];
let it = Self::Digest::digests_as_elements(values.iter());
for (i, v) in it.enumerate() {
state[RATE_RANGE.start + i] = *v;
}
// apply the RPO permutation and return the first four elements of the state
Self::apply_permutation(&mut state);
RpoDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
fn merge_with_int(seed: Self::Digest, value: u64) -> Self::Digest {
// initialize the state as follows:
// - seed is copied into the first 4 elements of the rate portion of the state.
// - if the value fits into a single field element, copy it into the fifth rate element
// and set the sixth rate element to 1.
// - if the value doesn't fit into a single field element, split it into two field
// elements, copy them into rate elements 5 and 6, and set the seventh rate element
// to 1.
// - set the first capacity element to 1
let mut state = [ZERO; STATE_WIDTH];
state[INPUT1_RANGE].copy_from_slice(seed.as_elements());
state[INPUT2_RANGE.start] = Felt::new(value);
if value < Felt::MODULUS {
state[INPUT2_RANGE.start + 1] = ONE;
} else {
state[INPUT2_RANGE.start + 1] = Felt::new(value / Felt::MODULUS);
state[INPUT2_RANGE.start + 2] = ONE;
}
// common padding for both cases
state[CAPACITY_RANGE.start] = ONE;
// apply the RPO permutation and return the first four elements of the state
Self::apply_permutation(&mut state);
RpoDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
}
impl ElementHasher for Rpo256 {
type BaseField = Felt;
fn hash_elements<E: FieldElement<BaseField = Self::BaseField>>(elements: &[E]) -> Self::Digest {
// convert the elements into a list of base field elements
let elements = E::slice_as_base_elements(elements);
// initialize state to all zeros, except for the first element of the capacity part, which
// is set to 1 if the number of elements is not a multiple of RATE_WIDTH.
let mut state = [ZERO; STATE_WIDTH];
if elements.len() % RATE_WIDTH != 0 {
state[CAPACITY_RANGE.start] = ONE;
}
// absorb elements into the state one by one until the rate portion of the state is filled
// up; then apply the Rescue permutation and start absorbing again; repeat until all
// elements have been absorbed
let mut i = 0;
for &element in elements.iter() {
state[RATE_RANGE.start + i] = element;
i += 1;
if i % RATE_WIDTH == 0 {
Self::apply_permutation(&mut state);
i = 0;
}
}
// if we absorbed some elements but didn't apply a permutation to them (would happen when
// the number of elements is not a multiple of RATE_WIDTH), apply the RPO permutation after
// padding by appending a 1 followed by as many 0 as necessary to make the input length a
// multiple of the RATE_WIDTH.
if i > 0 {
state[RATE_RANGE.start + i] = ONE;
i += 1;
while i != RATE_WIDTH {
state[RATE_RANGE.start + i] = ZERO;
i += 1;
}
Self::apply_permutation(&mut state);
}
// return the first 4 elements of the state as hash result
RpoDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
}
// HASH FUNCTION IMPLEMENTATION
// ================================================================================================
impl Rpo256 {
// CONSTANTS
// --------------------------------------------------------------------------------------------
/// The number of rounds is set to 7 to target 128-bit security level.
pub const NUM_ROUNDS: usize = NUM_ROUNDS;
/// Sponge state is set to 12 field elements or 768 bytes; 8 elements are reserved for rate and
/// the remaining 4 elements are reserved for capacity.
pub const STATE_WIDTH: usize = STATE_WIDTH;
/// The rate portion of the state is located in elements 4 through 11 (inclusive).
pub const RATE_RANGE: Range<usize> = RATE_RANGE;
/// The capacity portion of the state is located in elements 0, 1, 2, and 3.
pub const CAPACITY_RANGE: Range<usize> = CAPACITY_RANGE;
/// The output of the hash function can be read from state elements 4, 5, 6, and 7.
pub const DIGEST_RANGE: Range<usize> = DIGEST_RANGE;
/// MDS matrix used for computing the linear layer in a RPO round.
pub const MDS: [[Felt; STATE_WIDTH]; STATE_WIDTH] = MDS;
/// Round constants added to the hasher state in the first half of the RPO round.
pub const ARK1: [[Felt; STATE_WIDTH]; NUM_ROUNDS] = ARK1;
/// Round constants added to the hasher state in the second half of the RPO round.
pub const ARK2: [[Felt; STATE_WIDTH]; NUM_ROUNDS] = ARK2;
// TRAIT PASS-THROUGH FUNCTIONS
// --------------------------------------------------------------------------------------------
/// Returns a hash of the provided sequence of bytes.
#[inline(always)]
pub fn hash(bytes: &[u8]) -> RpoDigest {
<Self as Hasher>::hash(bytes)
}
/// Returns a hash of two digests. This method is intended for use in construction of
/// Merkle trees and verification of Merkle paths.
#[inline(always)]
pub fn merge(values: &[RpoDigest; 2]) -> RpoDigest {
<Self as Hasher>::merge(values)
}
/// Returns a hash of the provided field elements.
#[inline(always)]
pub fn hash_elements<E: FieldElement<BaseField = Felt>>(elements: &[E]) -> RpoDigest {
<Self as ElementHasher>::hash_elements(elements)
}
// DOMAIN IDENTIFIER
// --------------------------------------------------------------------------------------------
/// Returns a hash of two digests and a domain identifier.
pub fn merge_in_domain(values: &[RpoDigest; 2], domain: Felt) -> RpoDigest {
// initialize the state by copying the digest elements into the rate portion of the state
// (8 total elements), and set the capacity elements to 0.
let mut state = [ZERO; STATE_WIDTH];
let it = RpoDigest::digests_as_elements(values.iter());
for (i, v) in it.enumerate() {
state[RATE_RANGE.start + i] = *v;
}
// set the second capacity element to the domain value. The first capacity element is used
// for padding purposes.
state[CAPACITY_RANGE.start + 1] = domain;
// apply the RPO permutation and return the first four elements of the state
Self::apply_permutation(&mut state);
RpoDigest::new(state[DIGEST_RANGE].try_into().unwrap())
}
// RESCUE PERMUTATION
// --------------------------------------------------------------------------------------------
/// Applies RPO permutation to the provided state.
#[inline(always)]
pub fn apply_permutation(state: &mut [Felt; STATE_WIDTH]) {
for i in 0..NUM_ROUNDS {
Self::apply_round(state, i);
}
}
/// RPO round function.
#[inline(always)]
pub fn apply_round(state: &mut [Felt; STATE_WIDTH], round: usize) {
// apply first half of RPO round
Self::apply_mds(state);
Self::add_constants(state, &ARK1[round]);
Self::apply_sbox(state);
// apply second half of RPO round
Self::apply_mds(state);
Self::add_constants(state, &ARK2[round]);
Self::apply_inv_sbox(state);
}
// HELPER FUNCTIONS
// --------------------------------------------------------------------------------------------
#[inline(always)]
fn apply_mds(state: &mut [Felt; STATE_WIDTH]) {
let mut result = [ZERO; STATE_WIDTH];
// Using the linearity of the operations we can split the state into a low||high decomposition
// and operate on each with no overflow and then combine/reduce the result to a field element.
// The no overflow is guaranteed by the fact that the MDS matrix is a small powers of two in
// frequency domain.
let mut state_l = [0u64; STATE_WIDTH];
let mut state_h = [0u64; STATE_WIDTH];
for r in 0..STATE_WIDTH {
let s = state[r].inner();
state_h[r] = s >> 32;
state_l[r] = (s as u32) as u64;
}
let state_h = mds_multiply_freq(state_h);
let state_l = mds_multiply_freq(state_l);
for r in 0..STATE_WIDTH {
let s = state_l[r] as u128 + ((state_h[r] as u128) << 32);
let s_hi = (s >> 64) as u64;
let s_lo = s as u64;
let z = (s_hi << 32) - s_hi;
let (res, over) = s_lo.overflowing_add(z);
result[r] = Felt::from_mont(res.wrapping_add(0u32.wrapping_sub(over as u32) as u64));
}
*state = result;
}
#[inline(always)]
fn add_constants(state: &mut [Felt; STATE_WIDTH], ark: &[Felt; STATE_WIDTH]) {
state.iter_mut().zip(ark).for_each(|(s, &k)| *s += k);
}
#[inline(always)]
fn apply_sbox(state: &mut [Felt; STATE_WIDTH]) {
state[0] = state[0].exp7();
state[1] = state[1].exp7();
state[2] = state[2].exp7();
state[3] = state[3].exp7();
state[4] = state[4].exp7();
state[5] = state[5].exp7();
state[6] = state[6].exp7();
state[7] = state[7].exp7();
state[8] = state[8].exp7();
state[9] = state[9].exp7();
state[10] = state[10].exp7();
state[11] = state[11].exp7();
}
#[inline(always)]
fn apply_inv_sbox(state: &mut [Felt; STATE_WIDTH]) {
// compute base^10540996611094048183 using 72 multiplications per array element
// 10540996611094048183 = b1001001001001001001001001001000110110110110110110110110110110111
// compute base^10
let mut t1 = *state;
t1.iter_mut().for_each(|t| *t = t.square());
// compute base^100
let mut t2 = t1;
t2.iter_mut().for_each(|t| *t = t.square());
// compute base^100100
let t3 = Self::exp_acc::<Felt, STATE_WIDTH, 3>(t2, t2);
// compute base^100100100100
let t4 = Self::exp_acc::<Felt, STATE_WIDTH, 6>(t3, t3);
// compute base^100100100100100100100100
let t5 = Self::exp_acc::<Felt, STATE_WIDTH, 12>(t4, t4);
// compute base^100100100100100100100100100100
let t6 = Self::exp_acc::<Felt, STATE_WIDTH, 6>(t5, t3);
// compute base^1001001001001001001001001001000100100100100100100100100100100
let t7 = Self::exp_acc::<Felt, STATE_WIDTH, 31>(t6, t6);
// compute base^1001001001001001001001001001000110110110110110110110110110110111
for (i, s) in state.iter_mut().enumerate() {
let a = (t7[i].square() * t6[i]).square().square();
let b = t1[i] * t2[i] * *s;
*s = a * b;
}
}
#[inline(always)]
fn exp_acc<B: StarkField, const N: usize, const M: usize>(
base: [B; N],
tail: [B; N],
) -> [B; N] {
let mut result = base;
for _ in 0..M {
result.iter_mut().for_each(|r| *r = r.square());
}
result.iter_mut().zip(tail).for_each(|(r, t)| *r *= t);
result
}
}
// MDS
// ================================================================================================
/// RPO MDS matrix
const MDS: [[Felt; STATE_WIDTH]; STATE_WIDTH] = [
[
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
],
[
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
],
[
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
],
[
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
],
[
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
],
[
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
],
[
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
],
[
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
],
[
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
Felt::new(26),
],
[
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
Felt::new(8),
],
[
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
Felt::new(23),
],
[
Felt::new(23),
Felt::new(8),
Felt::new(26),
Felt::new(13),
Felt::new(10),
Felt::new(9),
Felt::new(7),
Felt::new(6),
Felt::new(22),
Felt::new(21),
Felt::new(8),
Felt::new(7),
],
];
// ROUND CONSTANTS
// ================================================================================================
/// Rescue round constants;
/// computed as in [specifications](https://github.com/ASDiscreteMathematics/rpo)
///
/// The constants are broken up into two arrays ARK1 and ARK2; ARK1 contains the constants for the
/// first half of RPO round, and ARK2 contains constants for the second half of RPO round.
const ARK1: [[Felt; STATE_WIDTH]; NUM_ROUNDS] = [
[
Felt::new(5789762306288267392),
Felt::new(6522564764413701783),
Felt::new(17809893479458208203),
Felt::new(107145243989736508),
Felt::new(6388978042437517382),
Felt::new(15844067734406016715),
Felt::new(9975000513555218239),
Felt::new(3344984123768313364),
Felt::new(9959189626657347191),
Felt::new(12960773468763563665),
Felt::new(9602914297752488475),
Felt::new(16657542370200465908),
],
[
Felt::new(12987190162843096997),
Felt::new(653957632802705281),
Felt::new(4441654670647621225),
Felt::new(4038207883745915761),
Felt::new(5613464648874830118),
Felt::new(13222989726778338773),
Felt::new(3037761201230264149),
Felt::new(16683759727265180203),
Felt::new(8337364536491240715),
Felt::new(3227397518293416448),
Felt::new(8110510111539674682),
Felt::new(2872078294163232137),
],
[
Felt::new(18072785500942327487),
Felt::new(6200974112677013481),
Felt::new(17682092219085884187),
Felt::new(10599526828986756440),
Felt::new(975003873302957338),
Felt::new(8264241093196931281),
Felt::new(10065763900435475170),
Felt::new(2181131744534710197),
Felt::new(6317303992309418647),
Felt::new(1401440938888741532),
Felt::new(8884468225181997494),
Felt::new(13066900325715521532),
],
[
Felt::new(5674685213610121970),
Felt::new(5759084860419474071),
Felt::new(13943282657648897737),
Felt::new(1352748651966375394),
Felt::new(17110913224029905221),
Felt::new(1003883795902368422),
Felt::new(4141870621881018291),
Felt::new(8121410972417424656),
Felt::new(14300518605864919529),
Felt::new(13712227150607670181),
Felt::new(17021852944633065291),
Felt::new(6252096473787587650),
],
[
Felt::new(4887609836208846458),
Felt::new(3027115137917284492),
Felt::new(9595098600469470675),
Felt::new(10528569829048484079),
Felt::new(7864689113198939815),
Felt::new(17533723827845969040),
Felt::new(5781638039037710951),
Felt::new(17024078752430719006),
Felt::new(109659393484013511),
Felt::new(7158933660534805869),
Felt::new(2955076958026921730),
Felt::new(7433723648458773977),
],
[
Felt::new(16308865189192447297),
Felt::new(11977192855656444890),
Felt::new(12532242556065780287),
Felt::new(14594890931430968898),
Felt::new(7291784239689209784),
Felt::new(5514718540551361949),
Felt::new(10025733853830934803),
Felt::new(7293794580341021693),
Felt::new(6728552937464861756),
Felt::new(6332385040983343262),
Felt::new(13277683694236792804),
Felt::new(2600778905124452676),
],
[
Felt::new(7123075680859040534),
Felt::new(1034205548717903090),
Felt::new(7717824418247931797),
Felt::new(3019070937878604058),
Felt::new(11403792746066867460),
Felt::new(10280580802233112374),
Felt::new(337153209462421218),
Felt::new(13333398568519923717),
Felt::new(3596153696935337464),
Felt::new(8104208463525993784),
Felt::new(14345062289456085693),
Felt::new(17036731477169661256),
],
];
const ARK2: [[Felt; STATE_WIDTH]; NUM_ROUNDS] = [
[
Felt::new(6077062762357204287),
Felt::new(15277620170502011191),
Felt::new(5358738125714196705),
Felt::new(14233283787297595718),
Felt::new(13792579614346651365),
Felt::new(11614812331536767105),
Felt::new(14871063686742261166),
Felt::new(10148237148793043499),
Felt::new(4457428952329675767),
Felt::new(15590786458219172475),
Felt::new(10063319113072092615),
Felt::new(14200078843431360086),
],
[
Felt::new(6202948458916099932),
Felt::new(17690140365333231091),
Felt::new(3595001575307484651),
Felt::new(373995945117666487),
Felt::new(1235734395091296013),
Felt::new(14172757457833931602),
Felt::new(707573103686350224),
Felt::new(15453217512188187135),
Felt::new(219777875004506018),
Felt::new(17876696346199469008),
Felt::new(17731621626449383378),
Felt::new(2897136237748376248),
],
[
Felt::new(8023374565629191455),
Felt::new(15013690343205953430),
Felt::new(4485500052507912973),
Felt::new(12489737547229155153),
Felt::new(9500452585969030576),
Felt::new(2054001340201038870),
Felt::new(12420704059284934186),
Felt::new(355990932618543755),
Felt::new(9071225051243523860),
Felt::new(12766199826003448536),
Felt::new(9045979173463556963),
Felt::new(12934431667190679898),
],
[
Felt::new(18389244934624494276),
Felt::new(16731736864863925227),
Felt::new(4440209734760478192),
Felt::new(17208448209698888938),
Felt::new(8739495587021565984),
Felt::new(17000774922218161967),
Felt::new(13533282547195532087),
Felt::new(525402848358706231),
Felt::new(16987541523062161972),
Felt::new(5466806524462797102),
Felt::new(14512769585918244983),
Felt::new(10973956031244051118),
],
[
Felt::new(6982293561042362913),
Felt::new(14065426295947720331),
Felt::new(16451845770444974180),
Felt::new(7139138592091306727),
Felt::new(9012006439959783127),
Felt::new(14619614108529063361),
Felt::new(1394813199588124371),
Felt::new(4635111139507788575),
Felt::new(16217473952264203365),
Felt::new(10782018226466330683),
Felt::new(6844229992533662050),
Felt::new(7446486531695178711),
],
[
Felt::new(3736792340494631448),
Felt::new(577852220195055341),
Felt::new(6689998335515779805),
Felt::new(13886063479078013492),
Felt::new(14358505101923202168),
Felt::new(7744142531772274164),
Felt::new(16135070735728404443),
Felt::new(12290902521256031137),
Felt::new(12059913662657709804),
Felt::new(16456018495793751911),
Felt::new(4571485474751953524),
Felt::new(17200392109565783176),
],
[
Felt::new(17130398059294018733),
Felt::new(519782857322261988),
Felt::new(9625384390925085478),
Felt::new(1664893052631119222),
Felt::new(7629576092524553570),
Felt::new(3485239601103661425),
Felt::new(9755891797164033838),
Felt::new(15218148195153269027),
Felt::new(16460604813734957368),
Felt::new(9643968136937729763),
Felt::new(3611348709641382851),
Felt::new(18256379591337759196),
],
];

View File

@@ -1,18 +1,23 @@
#![cfg_attr(not(feature = "std"), no_std)] #![cfg_attr(not(feature = "std"), no_std)]
#[cfg(not(feature = "std"))] //#[cfg(not(feature = "std"))]
#[cfg_attr(test, macro_use)] //#[cfg_attr(test, macro_use)]
extern crate alloc; extern crate alloc;
pub mod dsa;
pub mod hash; pub mod hash;
pub mod merkle; pub mod merkle;
pub mod rand;
pub mod utils; pub mod utils;
pub mod gkr;
// RE-EXPORTS // RE-EXPORTS
// ================================================================================================ // ================================================================================================
pub use winter_crypto::{RandomCoin, RandomCoinError}; pub use winter_math::{
pub use winter_math::{fields::f64::BaseElement as Felt, FieldElement, StarkField}; fields::{f64::BaseElement as Felt, CubeExtension, QuadExtension},
FieldElement, StarkField,
};
// TYPE ALIASES // TYPE ALIASES
// ================================================================================================ // ================================================================================================
@@ -32,6 +37,9 @@ pub const ZERO: Felt = Felt::ZERO;
/// Field element representing ONE in the Miden base filed. /// Field element representing ONE in the Miden base filed.
pub const ONE: Felt = Felt::ONE; pub const ONE: Felt = Felt::ONE;
/// Array of field elements representing word of ZEROs in the Miden base field.
pub const EMPTY_WORD: [Felt; 4] = [ZERO; WORD_SIZE];
// TESTS // TESTS
// ================================================================================================ // ================================================================================================

128
src/main.rs Normal file
View File

@@ -0,0 +1,128 @@
use clap::Parser;
use miden_crypto::{
hash::rpo::{Rpo256, RpoDigest},
merkle::{MerkleError, TieredSmt},
Felt, Word, ONE,
};
use rand_utils::rand_value;
use std::time::Instant;
#[derive(Parser, Debug)]
#[clap(
name = "Benchmark",
about = "Tiered SMT benchmark",
version,
rename_all = "kebab-case"
)]
pub struct BenchmarkCmd {
/// Size of the tree
#[clap(short = 's', long = "size")]
size: u64,
}
fn main() {
benchmark_tsmt();
}
/// Run a benchmark for the Tiered SMT.
pub fn benchmark_tsmt() {
let args = BenchmarkCmd::parse();
let tree_size = args.size;
// prepare the `leaves` vector for tree creation
let mut entries = Vec::new();
for i in 0..tree_size {
let key = rand_value::<RpoDigest>();
let value = [ONE, ONE, ONE, Felt::new(i)];
entries.push((key, value));
}
let mut tree = construction(entries, tree_size).unwrap();
insertion(&mut tree, tree_size).unwrap();
proof_generation(&mut tree, tree_size).unwrap();
}
/// Runs the construction benchmark for the Tiered SMT, returning the constructed tree.
pub fn construction(entries: Vec<(RpoDigest, Word)>, size: u64) -> Result<TieredSmt, MerkleError> {
println!("Running a construction benchmark:");
let now = Instant::now();
let tree = TieredSmt::with_entries(entries)?;
let elapsed = now.elapsed();
println!(
"Constructed a TSMT with {} key-value pairs in {:.3} seconds",
size,
elapsed.as_secs_f32(),
);
// Count how many nodes end up at each tier
let mut nodes_num_16_32_48 = (0, 0, 0);
tree.upper_leaf_nodes().for_each(|(index, _)| match index.depth() {
16 => nodes_num_16_32_48.0 += 1,
32 => nodes_num_16_32_48.1 += 1,
48 => nodes_num_16_32_48.2 += 1,
_ => unreachable!(),
});
println!("Number of nodes on depth 16: {}", nodes_num_16_32_48.0);
println!("Number of nodes on depth 32: {}", nodes_num_16_32_48.1);
println!("Number of nodes on depth 48: {}", nodes_num_16_32_48.2);
println!("Number of nodes on depth 64: {}\n", tree.bottom_leaves().count());
Ok(tree)
}
/// Runs the insertion benchmark for the Tiered SMT.
pub fn insertion(tree: &mut TieredSmt, size: u64) -> Result<(), MerkleError> {
println!("Running an insertion benchmark:");
let mut insertion_times = Vec::new();
for i in 0..20 {
let test_key = Rpo256::hash(&rand_value::<u64>().to_be_bytes());
let test_value = [ONE, ONE, ONE, Felt::new(size + i)];
let now = Instant::now();
tree.insert(test_key, test_value);
let elapsed = now.elapsed();
insertion_times.push(elapsed.as_secs_f32());
}
println!(
"An average insertion time measured by 20 inserts into a TSMT with {} key-value pairs is {:.3} milliseconds\n",
size,
// calculate the average by dividing by 20 and convert to milliseconds by multiplying by
// 1000. As a result, we can only multiply by 50
insertion_times.iter().sum::<f32>() * 50f32,
);
Ok(())
}
/// Runs the proof generation benchmark for the Tiered SMT.
pub fn proof_generation(tree: &mut TieredSmt, size: u64) -> Result<(), MerkleError> {
println!("Running a proof generation benchmark:");
let mut insertion_times = Vec::new();
for i in 0..20 {
let test_key = Rpo256::hash(&rand_value::<u64>().to_be_bytes());
let test_value = [ONE, ONE, ONE, Felt::new(size + i)];
tree.insert(test_key, test_value);
let now = Instant::now();
let _proof = tree.prove(test_key);
let elapsed = now.elapsed();
insertion_times.push(elapsed.as_secs_f32());
}
println!(
"An average proving time measured by 20 value proofs in a TSMT with {} key-value pairs in {:.3} microseconds",
size,
// calculate the average by dividing by 20 and convert to microseconds by multiplying by
// 1000000. As a result, we can only multiply by 50000
insertion_times.iter().sum::<f32>() * 50000f32,
);
Ok(())
}

156
src/merkle/delta.rs Normal file
View File

@@ -0,0 +1,156 @@
use super::{
BTreeMap, KvMap, MerkleError, MerkleStore, NodeIndex, RpoDigest, StoreNode, Vec, Word,
};
use crate::utils::collections::Diff;
#[cfg(test)]
use super::{super::ONE, Felt, SimpleSmt, EMPTY_WORD, ZERO};
// MERKLE STORE DELTA
// ================================================================================================
/// [MerkleStoreDelta] stores a vector of ([RpoDigest], [MerkleTreeDelta]) tuples where the
/// [RpoDigest] represents the root of the Merkle tree and [MerkleTreeDelta] represents the
/// differences between the initial and final Merkle tree states.
#[derive(Default, Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct MerkleStoreDelta(pub Vec<(RpoDigest, MerkleTreeDelta)>);
// MERKLE TREE DELTA
// ================================================================================================
/// [MerkleDelta] stores the differences between the initial and final Merkle tree states.
///
/// The differences are represented as follows:
/// - depth: the depth of the merkle tree.
/// - cleared_slots: indexes of slots where values were set to [ZERO; 4].
/// - updated_slots: index-value pairs of slots where values were set to non [ZERO; 4] values.
#[cfg(not(test))]
#[derive(Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct MerkleTreeDelta {
depth: u8,
cleared_slots: Vec<u64>,
updated_slots: Vec<(u64, Word)>,
}
impl MerkleTreeDelta {
// CONSTRUCTOR
// --------------------------------------------------------------------------------------------
pub fn new(depth: u8) -> Self {
Self {
depth,
cleared_slots: Vec::new(),
updated_slots: Vec::new(),
}
}
// ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns the depth of the Merkle tree the [MerkleDelta] is associated with.
pub fn depth(&self) -> u8 {
self.depth
}
/// Returns the indexes of slots where values were set to [ZERO; 4].
pub fn cleared_slots(&self) -> &[u64] {
&self.cleared_slots
}
/// Returns the index-value pairs of slots where values were set to non [ZERO; 4] values.
pub fn updated_slots(&self) -> &[(u64, Word)] {
&self.updated_slots
}
// MODIFIERS
// --------------------------------------------------------------------------------------------
/// Adds a slot index to the list of cleared slots.
pub fn add_cleared_slot(&mut self, index: u64) {
self.cleared_slots.push(index);
}
/// Adds a slot index and a value to the list of updated slots.
pub fn add_updated_slot(&mut self, index: u64, value: Word) {
self.updated_slots.push((index, value));
}
}
/// Extracts a [MerkleDelta] object by comparing the leaves of two Merkle trees specifies by
/// their roots and depth.
pub fn merkle_tree_delta<T: KvMap<RpoDigest, StoreNode>>(
tree_root_1: RpoDigest,
tree_root_2: RpoDigest,
depth: u8,
merkle_store: &MerkleStore<T>,
) -> Result<MerkleTreeDelta, MerkleError> {
if tree_root_1 == tree_root_2 {
return Ok(MerkleTreeDelta::new(depth));
}
let tree_1_leaves: BTreeMap<NodeIndex, RpoDigest> =
merkle_store.non_empty_leaves(tree_root_1, depth).collect();
let tree_2_leaves: BTreeMap<NodeIndex, RpoDigest> =
merkle_store.non_empty_leaves(tree_root_2, depth).collect();
let diff = tree_1_leaves.diff(&tree_2_leaves);
// TODO: Refactor this diff implementation to prevent allocation of both BTree and Vec.
Ok(MerkleTreeDelta {
depth,
cleared_slots: diff.removed.into_iter().map(|index| index.value()).collect(),
updated_slots: diff
.updated
.into_iter()
.map(|(index, leaf)| (index.value(), *leaf))
.collect(),
})
}
// INTERNALS
// --------------------------------------------------------------------------------------------
#[cfg(test)]
#[derive(Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct MerkleTreeDelta {
pub depth: u8,
pub cleared_slots: Vec<u64>,
pub updated_slots: Vec<(u64, Word)>,
}
// MERKLE DELTA
// ================================================================================================
#[test]
fn test_compute_merkle_delta() {
let entries = vec![
(10, [ZERO, ONE, Felt::new(2), Felt::new(3)]),
(15, [Felt::new(4), Felt::new(5), Felt::new(6), Felt::new(7)]),
(20, [Felt::new(8), Felt::new(9), Felt::new(10), Felt::new(11)]),
(31, [Felt::new(12), Felt::new(13), Felt::new(14), Felt::new(15)]),
];
let simple_smt = SimpleSmt::with_leaves(30, entries.clone()).unwrap();
let mut store: MerkleStore = (&simple_smt).into();
let root = simple_smt.root();
// add a new node
let new_value = [Felt::new(16), Felt::new(17), Felt::new(18), Felt::new(19)];
let new_index = NodeIndex::new(simple_smt.depth(), 32).unwrap();
let root = store.set_node(root, new_index, new_value.into()).unwrap().root;
// update an existing node
let update_value = [Felt::new(20), Felt::new(21), Felt::new(22), Felt::new(23)];
let update_idx = NodeIndex::new(simple_smt.depth(), entries[0].0).unwrap();
let root = store.set_node(root, update_idx, update_value.into()).unwrap().root;
// remove a node
let remove_idx = NodeIndex::new(simple_smt.depth(), entries[1].0).unwrap();
let root = store.set_node(root, remove_idx, EMPTY_WORD.into()).unwrap().root;
let merkle_delta =
merkle_tree_delta(simple_smt.root(), root, simple_smt.depth(), &store).unwrap();
let expected_merkle_delta = MerkleTreeDelta {
depth: simple_smt.depth(),
cleared_slots: vec![remove_idx.value()],
updated_slots: vec![(update_idx.value(), update_value), (new_index.value(), new_value)],
};
assert_eq!(merkle_delta, expected_merkle_delta);
}

View File

@@ -1,12 +1,6 @@
use super::{Felt, RpoDigest, Word, WORD_SIZE, ZERO}; use super::{Felt, RpoDigest, EMPTY_WORD};
use core::slice; use core::slice;
// CONSTANTS
// ================================================================================================
/// A word consisting of 4 ZERO elements.
pub const EMPTY_WORD: Word = [ZERO; WORD_SIZE];
// EMPTY NODES SUBTREES // EMPTY NODES SUBTREES
// ================================================================================================ // ================================================================================================
@@ -16,12 +10,19 @@ pub struct EmptySubtreeRoots;
impl EmptySubtreeRoots { impl EmptySubtreeRoots {
/// Returns a static slice with roots of empty subtrees of a Merkle tree starting at the /// Returns a static slice with roots of empty subtrees of a Merkle tree starting at the
/// specified depth. /// specified depth.
pub const fn empty_hashes(depth: u8) -> &'static [RpoDigest] { pub const fn empty_hashes(tree_depth: u8) -> &'static [RpoDigest] {
let ptr = &EMPTY_SUBTREES[255 - depth as usize] as *const RpoDigest; let ptr = &EMPTY_SUBTREES[255 - tree_depth as usize] as *const RpoDigest;
// Safety: this is a static/constant array, so it will never be outlived. If we attempt to // Safety: this is a static/constant array, so it will never be outlived. If we attempt to
// use regular slices, this wouldn't be a `const` function, meaning we won't be able to use // use regular slices, this wouldn't be a `const` function, meaning we won't be able to use
// the returned value for static/constant definitions. // the returned value for static/constant definitions.
unsafe { slice::from_raw_parts(ptr, depth as usize + 1) } unsafe { slice::from_raw_parts(ptr, tree_depth as usize + 1) }
}
/// Returns the node's digest for a sub-tree with all its leaves set to the empty word.
pub const fn entry(tree_depth: u8, node_depth: u8) -> &'static RpoDigest {
assert!(node_depth <= tree_depth);
let pos = 255 - tree_depth + node_depth;
&EMPTY_SUBTREES[pos as usize]
} }
} }
@@ -1556,7 +1557,7 @@ const EMPTY_SUBTREES: [RpoDigest; 256] = [
Felt::new(0xd3ad9fb0cea61624), Felt::new(0xd3ad9fb0cea61624),
Felt::new(0x66ab5c684fbb8597), Felt::new(0x66ab5c684fbb8597),
]), ]),
RpoDigest::new([ZERO; WORD_SIZE]), RpoDigest::new(EMPTY_WORD),
]; ];
#[test] #[test]
@@ -1589,3 +1590,16 @@ fn all_depths_opens_to_zero() {
.for_each(|(x, computed)| assert_eq!(x, computed)); .for_each(|(x, computed)| assert_eq!(x, computed));
} }
} }
#[test]
fn test_entry() {
// check the leaf is always the empty work
for depth in 0..255 {
assert_eq!(EmptySubtreeRoots::entry(depth, depth), &RpoDigest::new(EMPTY_WORD));
}
// check the root matches the first element of empty_hashes
for depth in 0..255 {
assert_eq!(EmptySubtreeRoots::entry(depth, 0), &EmptySubtreeRoots::empty_hashes(depth)[0]);
}
}

58
src/merkle/error.rs Normal file
View File

@@ -0,0 +1,58 @@
use crate::{
merkle::{MerklePath, NodeIndex, RpoDigest},
utils::collections::Vec,
};
use core::fmt;
#[derive(Clone, Debug, PartialEq, Eq)]
pub enum MerkleError {
ConflictingRoots(Vec<RpoDigest>),
DepthTooSmall(u8),
DepthTooBig(u64),
DuplicateValuesForIndex(u64),
DuplicateValuesForKey(RpoDigest),
InvalidIndex { depth: u8, value: u64 },
InvalidDepth { expected: u8, provided: u8 },
InvalidSubtreeDepth { subtree_depth: u8, tree_depth: u8 },
InvalidPath(MerklePath),
InvalidNumEntries(usize),
NodeNotInSet(NodeIndex),
NodeNotInStore(RpoDigest, NodeIndex),
NumLeavesNotPowerOfTwo(usize),
RootNotInStore(RpoDigest),
}
impl fmt::Display for MerkleError {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
use MerkleError::*;
match self {
ConflictingRoots(roots) => write!(f, "the merkle paths roots do not match {roots:?}"),
DepthTooSmall(depth) => write!(f, "the provided depth {depth} is too small"),
DepthTooBig(depth) => write!(f, "the provided depth {depth} is too big"),
DuplicateValuesForIndex(key) => write!(f, "multiple values provided for key {key}"),
DuplicateValuesForKey(key) => write!(f, "multiple values provided for key {key}"),
InvalidIndex { depth, value } => {
write!(f, "the index value {value} is not valid for the depth {depth}")
}
InvalidDepth { expected, provided } => {
write!(f, "the provided depth {provided} is not valid for {expected}")
}
InvalidSubtreeDepth { subtree_depth, tree_depth } => {
write!(f, "tried inserting a subtree of depth {subtree_depth} into a tree of depth {tree_depth}")
}
InvalidPath(_path) => write!(f, "the provided path is not valid"),
InvalidNumEntries(max) => write!(f, "number of entries exceeded the maximum: {max}"),
NodeNotInSet(index) => write!(f, "the node with index ({index}) is not in the set"),
NodeNotInStore(hash, index) => {
write!(f, "the node {hash:?} with index ({index}) is not in the store")
}
NumLeavesNotPowerOfTwo(leaves) => {
write!(f, "the leaves count {leaves} is not a power of 2")
}
RootNotInStore(root) => write!(f, "the root {:?} is not in the store", root),
}
}
}
#[cfg(feature = "std")]
impl std::error::Error for MerkleError {}

View File

@@ -1,4 +1,5 @@
use super::{Felt, MerkleError, RpoDigest, StarkField}; use super::{Felt, MerkleError, RpoDigest, StarkField};
use crate::utils::{ByteReader, ByteWriter, Deserializable, DeserializationError, Serializable};
use core::fmt::Display; use core::fmt::Display;
// NODE INDEX // NODE INDEX
@@ -20,6 +21,7 @@ use core::fmt::Display;
/// The root is represented by the pair $(0, 0)$, its left child is $(1, 0)$ and its right child /// The root is represented by the pair $(0, 0)$, its left child is $(1, 0)$ and its right child
/// $(1, 1)$. /// $(1, 1)$.
#[derive(Debug, Default, Copy, Clone, Eq, PartialEq, PartialOrd, Ord, Hash)] #[derive(Debug, Default, Copy, Clone, Eq, PartialEq, PartialOrd, Ord, Hash)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct NodeIndex { pub struct NodeIndex {
depth: u8, depth: u8,
value: u64, value: u64,
@@ -161,6 +163,22 @@ impl Display for NodeIndex {
} }
} }
impl Serializable for NodeIndex {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
target.write_u8(self.depth);
target.write_u64(self.value);
}
}
impl Deserializable for NodeIndex {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let depth = source.read_u8()?;
let value = source.read_u64()?;
NodeIndex::new(depth, value)
.map_err(|_| DeserializationError::InvalidValue("Invalid index".into()))
}
}
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use super::*; use super::*;
@@ -169,13 +187,20 @@ mod tests {
#[test] #[test]
fn test_node_index_value_too_high() { fn test_node_index_value_too_high() {
assert_eq!(NodeIndex::new(0, 0).unwrap(), NodeIndex { depth: 0, value: 0 }); assert_eq!(NodeIndex::new(0, 0).unwrap(), NodeIndex { depth: 0, value: 0 });
match NodeIndex::new(0, 1) { let err = NodeIndex::new(0, 1).unwrap_err();
Err(MerkleError::InvalidIndex { depth, value }) => { assert_eq!(err, MerkleError::InvalidIndex { depth: 0, value: 1 });
assert_eq!(depth, 0);
assert_eq!(value, 1); assert_eq!(NodeIndex::new(1, 1).unwrap(), NodeIndex { depth: 1, value: 1 });
} let err = NodeIndex::new(1, 2).unwrap_err();
_ => unreachable!(), assert_eq!(err, MerkleError::InvalidIndex { depth: 1, value: 2 });
}
assert_eq!(NodeIndex::new(2, 3).unwrap(), NodeIndex { depth: 2, value: 3 });
let err = NodeIndex::new(2, 4).unwrap_err();
assert_eq!(err, MerkleError::InvalidIndex { depth: 2, value: 4 });
assert_eq!(NodeIndex::new(3, 7).unwrap(), NodeIndex { depth: 3, value: 7 });
let err = NodeIndex::new(3, 8).unwrap_err();
assert_eq!(err, MerkleError::InvalidIndex { depth: 3, value: 8 });
} }
#[test] #[test]

View File

@@ -8,6 +8,7 @@ use winter_math::log2;
/// A fully-balanced binary Merkle tree (i.e., a tree where the number of leaves is a power of two). /// A fully-balanced binary Merkle tree (i.e., a tree where the number of leaves is a power of two).
#[derive(Debug, Clone, PartialEq, Eq)] #[derive(Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct MerkleTree { pub struct MerkleTree {
nodes: Vec<RpoDigest>, nodes: Vec<RpoDigest>,
} }
@@ -19,7 +20,11 @@ impl MerkleTree {
/// ///
/// # Errors /// # Errors
/// Returns an error if the number of leaves is smaller than two or is not a power of two. /// Returns an error if the number of leaves is smaller than two or is not a power of two.
pub fn new(leaves: Vec<Word>) -> Result<Self, MerkleError> { pub fn new<T>(leaves: T) -> Result<Self, MerkleError>
where
T: AsRef<[Word]>,
{
let leaves = leaves.as_ref();
let n = leaves.len(); let n = leaves.len();
if n <= 1 { if n <= 1 {
return Err(MerkleError::DepthTooSmall(n as u8)); return Err(MerkleError::DepthTooSmall(n as u8));
@@ -33,7 +38,7 @@ impl MerkleTree {
// copy leaves into the second part of the nodes vector // copy leaves into the second part of the nodes vector
nodes[n..].iter_mut().zip(leaves).for_each(|(node, leaf)| { nodes[n..].iter_mut().zip(leaves).for_each(|(node, leaf)| {
*node = RpoDigest::from(leaf); *node = RpoDigest::from(*leaf);
}); });
// re-interpret nodes as an array of two nodes fused together // re-interpret nodes as an array of two nodes fused together
@@ -174,6 +179,26 @@ impl MerkleTree {
} }
} }
// CONVERSIONS
// ================================================================================================
impl TryFrom<&[Word]> for MerkleTree {
type Error = MerkleError;
fn try_from(value: &[Word]) -> Result<Self, Self::Error> {
MerkleTree::new(value)
}
}
impl TryFrom<&[RpoDigest]> for MerkleTree {
type Error = MerkleError;
fn try_from(value: &[RpoDigest]) -> Result<Self, Self::Error> {
let value: Vec<Word> = value.iter().map(|v| *v.deref()).collect();
MerkleTree::new(value)
}
}
// ITERATORS // ITERATORS
// ================================================================================================ // ================================================================================================
@@ -370,21 +395,9 @@ mod tests {
let nodes: Vec<InnerNodeInfo> = tree.inner_nodes().collect(); let nodes: Vec<InnerNodeInfo> = tree.inner_nodes().collect();
let expected = vec![ let expected = vec![
InnerNodeInfo { InnerNodeInfo { value: root, left: l1n0, right: l1n1 },
value: root, InnerNodeInfo { value: l1n0, left: l2n0, right: l2n1 },
left: l1n0, InnerNodeInfo { value: l1n1, left: l2n2, right: l2n3 },
right: l1n1,
},
InnerNodeInfo {
value: l1n0,
left: l2n0,
right: l2n1,
},
InnerNodeInfo {
value: l1n1,
left: l2n2,
right: l2n3,
},
]; ];
assert_eq!(nodes, expected); assert_eq!(nodes, expected);

16
src/merkle/mmr/delta.rs Normal file
View File

@@ -0,0 +1,16 @@
use super::super::{RpoDigest, Vec};
/// Container for the update data of a [PartialMmr]
#[derive(Debug)]
pub struct MmrDelta {
/// The new version of the [Mmr]
pub forest: usize,
/// Update data.
///
/// The data is packed as follows:
/// 1. All the elements needed to perform authentication path updates. These are the right
/// siblings required to perform tree merges on the [PartialMmr].
/// 2. The new peaks.
pub data: Vec<RpoDigest>,
}

35
src/merkle/mmr/error.rs Normal file
View File

@@ -0,0 +1,35 @@
use crate::merkle::MerkleError;
use core::fmt::{Display, Formatter};
#[cfg(feature = "std")]
use std::error::Error;
#[derive(Debug, PartialEq, Eq, Clone)]
pub enum MmrError {
InvalidPosition(usize),
InvalidPeaks,
InvalidPeak,
InvalidUpdate,
UnknownPeak,
MerkleError(MerkleError),
}
impl Display for MmrError {
fn fmt(&self, fmt: &mut Formatter<'_>) -> Result<(), core::fmt::Error> {
match self {
MmrError::InvalidPosition(pos) => write!(fmt, "Mmr does not contain position {pos}"),
MmrError::InvalidPeaks => write!(fmt, "Invalid peaks count"),
MmrError::InvalidPeak => {
write!(fmt, "Peak values does not match merkle path computed root")
}
MmrError::InvalidUpdate => write!(fmt, "Invalid mmr update"),
MmrError::UnknownPeak => {
write!(fmt, "Peak not in Mmr")
}
MmrError::MerkleError(err) => write!(fmt, "{}", err),
}
}
}
#[cfg(feature = "std")]
impl Error for MmrError {}

View File

@@ -9,16 +9,13 @@
//! least number of leaves. The structure preserves the invariant that each tree has different //! least number of leaves. The structure preserves the invariant that each tree has different
//! depths, i.e. as part of adding adding a new element to the forest the trees with same depth are //! depths, i.e. as part of adding adding a new element to the forest the trees with same depth are
//! merged, creating a new tree with depth d+1, this process is continued until the property is //! merged, creating a new tree with depth d+1, this process is continued until the property is
//! restabilished. //! reestablished.
use super::{ use super::{
super::{InnerNodeInfo, MerklePath, RpoDigest, Vec}, super::{InnerNodeInfo, MerklePath, Vec},
bit::TrueBitPositionIterator, bit::TrueBitPositionIterator,
MmrPeaks, MmrProof, Rpo256, leaf_to_corresponding_tree, nodes_in_forest, MmrDelta, MmrError, MmrPeaks, MmrProof, Rpo256,
RpoDigest,
}; };
use core::fmt::{Display, Formatter};
#[cfg(feature = "std")]
use std::error::Error;
// MMR // MMR
// =============================================================================================== // ===============================================================================================
@@ -29,6 +26,7 @@ use std::error::Error;
/// Since this is a full representation of the MMR, elements are never removed and the MMR will /// Since this is a full representation of the MMR, elements are never removed and the MMR will
/// grow roughly `O(2n)` in number of leaf elements. /// grow roughly `O(2n)` in number of leaf elements.
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct Mmr { pub struct Mmr {
/// Refer to the `forest` method documentation for details of the semantics of this value. /// Refer to the `forest` method documentation for details of the semantics of this value.
pub(super) forest: usize, pub(super) forest: usize,
@@ -42,22 +40,6 @@ pub struct Mmr {
pub(super) nodes: Vec<RpoDigest>, pub(super) nodes: Vec<RpoDigest>,
} }
#[derive(Debug, PartialEq, Eq, Copy, Clone)]
pub enum MmrError {
InvalidPosition(usize),
}
impl Display for MmrError {
fn fmt(&self, fmt: &mut Formatter<'_>) -> Result<(), core::fmt::Error> {
match self {
MmrError::InvalidPosition(pos) => write!(fmt, "Mmr does not contain position {pos}"),
}
}
}
#[cfg(feature = "std")]
impl Error for MmrError {}
impl Default for Mmr { impl Default for Mmr {
fn default() -> Self { fn default() -> Self {
Self::new() Self::new()
@@ -70,10 +52,7 @@ impl Mmr {
/// Constructor for an empty `Mmr`. /// Constructor for an empty `Mmr`.
pub fn new() -> Mmr { pub fn new() -> Mmr {
Mmr { Mmr { forest: 0, nodes: Vec::new() }
forest: 0,
nodes: Vec::new(),
}
} }
// ACCESSORS // ACCESSORS
@@ -98,28 +77,23 @@ impl Mmr {
/// Note: The leaf position is the 0-indexed number corresponding to the order the leaves were /// Note: The leaf position is the 0-indexed number corresponding to the order the leaves were
/// added, this corresponds to the MMR size _prior_ to adding the element. So the 1st element /// added, this corresponds to the MMR size _prior_ to adding the element. So the 1st element
/// has position 0, the second position 1, and so on. /// has position 0, the second position 1, and so on.
pub fn open(&self, pos: usize) -> Result<MmrProof, MmrError> { pub fn open(&self, pos: usize, target_forest: usize) -> Result<MmrProof, MmrError> {
// find the target tree responsible for the MMR position // find the target tree responsible for the MMR position
let tree_bit = let tree_bit =
leaf_to_corresponding_tree(pos, self.forest).ok_or(MmrError::InvalidPosition(pos))?; leaf_to_corresponding_tree(pos, target_forest).ok_or(MmrError::InvalidPosition(pos))?;
let forest_target = 1usize << tree_bit;
// isolate the trees before the target // isolate the trees before the target
let forest_before = self.forest & high_bitmask(tree_bit + 1); let forest_before = target_forest & high_bitmask(tree_bit + 1);
let index_offset = nodes_in_forest(forest_before); let index_offset = nodes_in_forest(forest_before);
// find the root
let index = nodes_in_forest(forest_target) - 1;
// update the value position from global to the target tree // update the value position from global to the target tree
let relative_pos = pos - forest_before; let relative_pos = pos - forest_before;
// collect the path and the final index of the target value // collect the path and the final index of the target value
let (_, path) = let (_, path) = self.collect_merkle_path_and_value(tree_bit, relative_pos, index_offset);
self.collect_merkle_path_and_value(tree_bit, relative_pos, index_offset, index);
Ok(MmrProof { Ok(MmrProof {
forest: self.forest, forest: target_forest,
position: pos, position: pos,
merkle_path: MerklePath::new(path), merkle_path: MerklePath::new(path),
}) })
@@ -134,21 +108,16 @@ impl Mmr {
// find the target tree responsible for the MMR position // find the target tree responsible for the MMR position
let tree_bit = let tree_bit =
leaf_to_corresponding_tree(pos, self.forest).ok_or(MmrError::InvalidPosition(pos))?; leaf_to_corresponding_tree(pos, self.forest).ok_or(MmrError::InvalidPosition(pos))?;
let forest_target = 1usize << tree_bit;
// isolate the trees before the target // isolate the trees before the target
let forest_before = self.forest & high_bitmask(tree_bit + 1); let forest_before = self.forest & high_bitmask(tree_bit + 1);
let index_offset = nodes_in_forest(forest_before); let index_offset = nodes_in_forest(forest_before);
// find the root
let index = nodes_in_forest(forest_target) - 1;
// update the value position from global to the target tree // update the value position from global to the target tree
let relative_pos = pos - forest_before; let relative_pos = pos - forest_before;
// collect the path and the final index of the target value // collect the path and the final index of the target value
let (value, _) = let (value, _) = self.collect_merkle_path_and_value(tree_bit, relative_pos, index_offset);
self.collect_merkle_path_and_value(tree_bit, relative_pos, index_offset, index);
Ok(value) Ok(value)
} }
@@ -175,9 +144,13 @@ impl Mmr {
self.forest += 1; self.forest += 1;
} }
/// Returns an accumulator representing the current state of the MMR. /// Returns an peaks of the MMR for the version specified by `forest`.
pub fn accumulator(&self) -> MmrPeaks { pub fn peaks(&self, forest: usize) -> Result<MmrPeaks, MmrError> {
let peaks: Vec<RpoDigest> = TrueBitPositionIterator::new(self.forest) if forest > self.forest {
return Err(MmrError::InvalidPeaks);
}
let peaks: Vec<RpoDigest> = TrueBitPositionIterator::new(forest)
.rev() .rev()
.map(|bit| nodes_in_forest(1 << bit)) .map(|bit| nodes_in_forest(1 << bit))
.scan(0, |offset, el| { .scan(0, |offset, el| {
@@ -187,10 +160,84 @@ impl Mmr {
.map(|offset| self.nodes[offset - 1]) .map(|offset| self.nodes[offset - 1])
.collect(); .collect();
MmrPeaks { // Safety: the invariant is maintained by the [Mmr]
num_leaves: self.forest, let peaks = MmrPeaks::new(forest, peaks).unwrap();
peaks,
Ok(peaks)
}
/// Compute the required update to `original_forest`.
///
/// The result is a packed sequence of the authentication elements required to update the trees
/// that have been merged together, followed by the new peaks of the [Mmr].
pub fn get_delta(&self, from_forest: usize, to_forest: usize) -> Result<MmrDelta, MmrError> {
if to_forest > self.forest || from_forest > to_forest {
return Err(MmrError::InvalidPeaks);
} }
if from_forest == to_forest {
return Ok(MmrDelta { forest: to_forest, data: Vec::new() });
}
let mut result = Vec::new();
// Find the largest tree in this [Mmr] which is new to `from_forest`.
let candidate_trees = to_forest ^ from_forest;
let mut new_high = 1 << candidate_trees.ilog2();
// Collect authentication nodes used for tree merges
// ----------------------------------------------------------------------------------------
// Find the trees from `from_forest` that have been merged into `new_high`.
let mut merges = from_forest & (new_high - 1);
// Find the peaks that are common to `from_forest` and this [Mmr]
let common_trees = from_forest ^ merges;
if merges != 0 {
// Skip the smallest trees unknown to `from_forest`.
let mut target = 1 << merges.trailing_zeros();
// Collect siblings required to computed the merged tree's peak
while target < new_high {
// Computes the offset to the smallest know peak
// - common_trees: peaks unchanged in the current update, target comes after these.
// - merges: peaks that have not been merged so far, target comes after these.
// - target: tree from which to load the sibling. On the first iteration this is a
// value known by the partial mmr, on subsequent iterations this value is to be
// computed from the known peaks and provided authentication nodes.
let known = nodes_in_forest(common_trees | merges | target);
let sibling = nodes_in_forest(target);
result.push(self.nodes[known + sibling - 1]);
// Update the target and account for tree merges
target <<= 1;
while merges & target != 0 {
target <<= 1;
}
// Remove the merges done so far
merges ^= merges & (target - 1);
}
} else {
// The new high tree may not be the result of any merges, if it is smaller than all the
// trees of `from_forest`.
new_high = 0;
}
// Collect the new [Mmr] peaks
// ----------------------------------------------------------------------------------------
let mut new_peaks = to_forest ^ common_trees ^ new_high;
let old_peaks = to_forest ^ new_peaks;
let mut offset = nodes_in_forest(old_peaks);
while new_peaks != 0 {
let target = 1 << new_peaks.ilog2();
offset += nodes_in_forest(target);
result.push(self.nodes[offset - 1]);
new_peaks ^= target;
}
Ok(MmrDelta { forest: to_forest, data: result })
} }
/// An iterator over inner nodes in the MMR. The order of iteration is unspecified. /// An iterator over inner nodes in the MMR. The order of iteration is unspecified.
@@ -207,36 +254,52 @@ impl Mmr {
// ============================================================================================ // ============================================================================================
/// Internal function used to collect the Merkle path of a value. /// Internal function used to collect the Merkle path of a value.
///
/// The arguments are relative to the target tree. To compute the opening of the second leaf
/// for a tree with depth 2 in the forest `0b110`:
///
/// - `tree_bit`: Depth of the target tree, e.g. 2 for the smallest tree.
/// - `relative_pos`: 0-indexed leaf position in the target tree, e.g. 1 for the second leaf.
/// - `index_offset`: Node count prior to the target tree, e.g. 7 for the tree of depth 3.
fn collect_merkle_path_and_value( fn collect_merkle_path_and_value(
&self, &self,
tree_bit: u32, tree_bit: u32,
relative_pos: usize, relative_pos: usize,
index_offset: usize, index_offset: usize,
mut index: usize,
) -> (RpoDigest, Vec<RpoDigest>) { ) -> (RpoDigest, Vec<RpoDigest>) {
// collect the Merkle path // see documentation of `leaf_to_corresponding_tree` for details
let mut tree_depth = tree_bit as usize; let tree_depth = (tree_bit + 1) as usize;
let mut path = Vec::with_capacity(tree_depth + 1); let mut path = Vec::with_capacity(tree_depth);
while tree_depth > 0 {
let bit = relative_pos & tree_depth;
let right_offset = index - 1;
let left_offset = right_offset - nodes_in_forest(tree_depth);
// Elements to the right have a higher position because they were // The tree walk below goes from the root to the leaf, compute the root index to start
// added later. Therefore when the bit is true the node's path is let mut forest_target = 1usize << tree_bit;
// to the right, and its sibling to the left. let mut index = nodes_in_forest(forest_target) - 1;
let sibling = if bit != 0 {
// Loop until the leaf is reached
while forest_target > 1 {
// Update the depth of the tree to correspond to a subtree
forest_target >>= 1;
// compute the indeces of the right and left subtrees based on the post-order
let right_offset = index - 1;
let left_offset = right_offset - nodes_in_forest(forest_target);
let left_or_right = relative_pos & forest_target;
let sibling = if left_or_right != 0 {
// going down the right subtree, the right child becomes the new root
index = right_offset; index = right_offset;
// and the left child is the authentication
self.nodes[index_offset + left_offset] self.nodes[index_offset + left_offset]
} else { } else {
index = left_offset; index = left_offset;
self.nodes[index_offset + right_offset] self.nodes[index_offset + right_offset]
}; };
tree_depth >>= 1;
path.push(sibling); path.push(sibling);
} }
debug_assert!(path.len() == tree_depth - 1);
// the rest of the codebase has the elements going from leaf to root, adjust it here for // the rest of the codebase has the elements going from leaf to root, adjust it here for
// easy of use/consistency sake // easy of use/consistency sake
path.reverse(); path.reverse();
@@ -246,6 +309,9 @@ impl Mmr {
} }
} }
// CONVERSIONS
// ================================================================================================
impl<T> From<T> for Mmr impl<T> From<T> for Mmr
where where
T: IntoIterator<Item = RpoDigest>, T: IntoIterator<Item = RpoDigest>,
@@ -340,32 +406,6 @@ impl<'a> Iterator for MmrNodes<'a> {
// UTILITIES // UTILITIES
// =============================================================================================== // ===============================================================================================
/// Given a 0-indexed leaf position and the current forest, return the tree number responsible for
/// the position.
///
/// Note:
/// The result is a tree position `p`, it has the following interpretations. $p+1$ is the depth of
/// the tree, which corresponds to the size of a Merkle proof for that tree. $2^p$ is equal to the
/// number of leaves in this particular tree. and $2^(p+1)-1$ corresponds to size of the tree.
pub(crate) const fn leaf_to_corresponding_tree(pos: usize, forest: usize) -> Option<u32> {
if pos >= forest {
None
} else {
// - each bit in the forest is a unique tree and the bit position its power-of-two size
// - each tree owns a consecutive range of positions equal to its size from left-to-right
// - this means the first tree owns from `0` up to the `2^k_0` first positions, where `k_0`
// is the highest true bit position, the second tree from `2^k_0 + 1` up to `2^k_1` where
// `k_1` is the second higest bit, so on.
// - this means the highest bits work as a category marker, and the position is owned by
// the first tree which doesn't share a high bit with the position
let before = forest & pos;
let after = forest ^ before;
let tree = after.ilog2();
Some(tree)
}
}
/// Return a bitmask for the bits including and above the given position. /// Return a bitmask for the bits including and above the given position.
pub(crate) const fn high_bitmask(bit: u32) -> usize { pub(crate) const fn high_bitmask(bit: u32) -> usize {
if bit > usize::BITS - 1 { if bit > usize::BITS - 1 {
@@ -374,17 +414,3 @@ pub(crate) const fn high_bitmask(bit: u32) -> usize {
usize::MAX << bit usize::MAX << bit
} }
} }
/// Return the total number of nodes of a given forest
///
/// Panics:
///
/// This will panic if the forest has size greater than `usize::MAX / 2`
pub(crate) const fn nodes_in_forest(forest: usize) -> usize {
// - the size of a perfect binary tree is $2^{k+1}-1$ or $2*2^k-1$
// - the forest represents the sum of $2^k$ so a single multiplication is necessary
// - the number of `-1` is the same as the number of trees, which is the same as the number
// bits set
let tree_count = forest.count_ones() as usize;
forest * 2 - tree_count
}

164
src/merkle/mmr/inorder.rs Normal file
View File

@@ -0,0 +1,164 @@
//! Index for nodes of a binary tree based on an in-order tree walk.
//!
//! In-order walks have the parent node index split its left and right subtrees. All the left
//! children have indexes lower than the parent, meanwhile all the right subtree higher indexes.
//! This property makes it is easy to compute changes to the index by adding or subtracting the
//! leaves count.
use core::num::NonZeroUsize;
// IN-ORDER INDEX
// ================================================================================================
/// Index of nodes in a perfectly balanced binary tree based on an in-order tree walk.
#[derive(Debug, Copy, Clone, PartialEq, Eq, PartialOrd, Ord)]
pub struct InOrderIndex {
idx: usize,
}
impl InOrderIndex {
// CONSTRUCTORS
// --------------------------------------------------------------------------------------------
/// Returns a new [InOrderIndex] instantiated from the provided value.
pub fn new(idx: NonZeroUsize) -> InOrderIndex {
InOrderIndex { idx: idx.get() }
}
/// Return a new [InOrderIndex] instantiated from the specified leaf position.
///
/// # Panics:
/// If `leaf` is higher than or equal to `usize::MAX / 2`.
pub fn from_leaf_pos(leaf: usize) -> InOrderIndex {
// Convert the position from 0-indexed to 1-indexed, since the bit manipulation in this
// implementation only works 1-indexed counting.
let pos = leaf + 1;
InOrderIndex { idx: pos * 2 - 1 }
}
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// True if the index is pointing at a leaf.
///
/// Every odd number represents a leaf.
pub fn is_leaf(&self) -> bool {
self.idx & 1 == 1
}
/// Returns true if this note is a left child of its parent.
pub fn is_left_child(&self) -> bool {
self.parent().left_child() == *self
}
/// Returns the level of the index.
///
/// Starts at level zero for leaves and increases by one for each parent.
pub fn level(&self) -> u32 {
self.idx.trailing_zeros()
}
/// Returns the index of the left child.
///
/// # Panics:
/// If the index corresponds to a leaf.
pub fn left_child(&self) -> InOrderIndex {
// The left child is itself a parent, with an index that splits its left/right subtrees. To
// go from the parent index to its left child, it is only necessary to subtract the count
// of elements on the child's right subtree + 1.
let els = 1 << (self.level() - 1);
InOrderIndex { idx: self.idx - els }
}
/// Returns the index of the right child.
///
/// # Panics:
/// If the index corresponds to a leaf.
pub fn right_child(&self) -> InOrderIndex {
// To compute the index of the parent of the right subtree it is sufficient to add the size
// of its left subtree + 1.
let els = 1 << (self.level() - 1);
InOrderIndex { idx: self.idx + els }
}
/// Returns the index of the parent node.
pub fn parent(&self) -> InOrderIndex {
// If the current index corresponds to a node in a left tree, to go up a level it is
// required to add the number of nodes of the right sibling, analogously if the node is a
// right child, going up requires subtracting the number of nodes in its left subtree.
//
// Both of the above operations can be performed by bitwise manipulation. Below the mask
// sets the number of trailing zeros to be equal the new level of the index, and the bit
// marks the parent.
let target = self.level() + 1;
let bit = 1 << target;
let mask = bit - 1;
let idx = self.idx ^ (self.idx & mask);
InOrderIndex { idx: idx | bit }
}
/// Returns the index of the sibling node.
pub fn sibling(&self) -> InOrderIndex {
let parent = self.parent();
if *self > parent {
parent.left_child()
} else {
parent.right_child()
}
}
/// Returns the inner value of this [InOrderIndex].
pub fn inner(&self) -> u64 {
self.idx as u64
}
}
// CONVERSIONS FROM IN-ORDER INDEX
// ------------------------------------------------------------------------------------------------
impl From<InOrderIndex> for u64 {
fn from(index: InOrderIndex) -> Self {
index.idx as u64
}
}
// TESTS
// ================================================================================================
#[cfg(test)]
mod test {
use super::InOrderIndex;
use proptest::prelude::*;
proptest! {
#[test]
fn proptest_inorder_index_random(count in 1..1000usize) {
let left_pos = count * 2;
let right_pos = count * 2 + 1;
let left = InOrderIndex::from_leaf_pos(left_pos);
let right = InOrderIndex::from_leaf_pos(right_pos);
assert!(left.is_leaf());
assert!(right.is_leaf());
assert_eq!(left.parent(), right.parent());
assert_eq!(left.parent().right_child(), right);
assert_eq!(left, right.parent().left_child());
assert_eq!(left.sibling(), right);
assert_eq!(left, right.sibling());
}
}
#[test]
fn test_inorder_index_basic() {
let left = InOrderIndex::from_leaf_pos(0);
let right = InOrderIndex::from_leaf_pos(1);
assert!(left.is_leaf());
assert!(right.is_leaf());
assert_eq!(left.parent(), right.parent());
assert_eq!(left.parent().right_child(), right);
assert_eq!(left, right.parent().left_child());
assert_eq!(left.sibling(), right);
assert_eq!(left, right.sibling());
}
}

View File

@@ -1,15 +1,67 @@
mod accumulator;
mod bit; mod bit;
mod delta;
mod error;
mod full; mod full;
mod inorder;
mod partial;
mod peaks;
mod proof; mod proof;
#[cfg(test)] #[cfg(test)]
mod tests; mod tests;
use super::{Felt, Rpo256, Word}; use super::{Felt, Rpo256, RpoDigest, Word};
// REEXPORTS // REEXPORTS
// ================================================================================================ // ================================================================================================
pub use accumulator::MmrPeaks; pub use delta::MmrDelta;
pub use error::MmrError;
pub use full::Mmr; pub use full::Mmr;
pub use inorder::InOrderIndex;
pub use partial::PartialMmr;
pub use peaks::MmrPeaks;
pub use proof::MmrProof; pub use proof::MmrProof;
// UTILITIES
// ===============================================================================================
/// Given a 0-indexed leaf position and the current forest, return the tree number responsible for
/// the position.
///
/// Note:
/// The result is a tree position `p`, it has the following interpretations. $p+1$ is the depth of
/// the tree. Because the root element is not part of the proof, $p$ is the length of the
/// authentication path. $2^p$ is equal to the number of leaves in this particular tree. and
/// $2^(p+1)-1$ corresponds to size of the tree.
const fn leaf_to_corresponding_tree(pos: usize, forest: usize) -> Option<u32> {
if pos >= forest {
None
} else {
// - each bit in the forest is a unique tree and the bit position its power-of-two size
// - each tree owns a consecutive range of positions equal to its size from left-to-right
// - this means the first tree owns from `0` up to the `2^k_0` first positions, where `k_0`
// is the highest true bit position, the second tree from `2^k_0 + 1` up to `2^k_1` where
// `k_1` is the second highest bit, so on.
// - this means the highest bits work as a category marker, and the position is owned by
// the first tree which doesn't share a high bit with the position
let before = forest & pos;
let after = forest ^ before;
let tree = after.ilog2();
Some(tree)
}
}
/// Return the total number of nodes of a given forest
///
/// Panics:
///
/// This will panic if the forest has size greater than `usize::MAX / 2`
const fn nodes_in_forest(forest: usize) -> usize {
// - the size of a perfect binary tree is $2^{k+1}-1$ or $2*2^k-1$
// - the forest represents the sum of $2^k$ so a single multiplication is necessary
// - the number of `-1` is the same as the number of trees, which is the same as the number
// bits set
let tree_count = forest.count_ones() as usize;
forest * 2 - tree_count
}

703
src/merkle/mmr/partial.rs Normal file
View File

@@ -0,0 +1,703 @@
use super::{MmrDelta, MmrProof, Rpo256, RpoDigest};
use crate::{
merkle::{
mmr::{leaf_to_corresponding_tree, nodes_in_forest},
InOrderIndex, InnerNodeInfo, MerklePath, MmrError, MmrPeaks,
},
utils::{
collections::{BTreeMap, BTreeSet, Vec},
vec,
},
};
// PARTIAL MERKLE MOUNTAIN RANGE
// ================================================================================================
/// Partially materialized Merkle Mountain Range (MMR), used to efficiently store and update the
/// authentication paths for a subset of the elements in a full MMR.
///
/// This structure store only the authentication path for a value, the value itself is stored
/// separately.
#[derive(Debug, Clone, PartialEq, Eq)]
pub struct PartialMmr {
/// The version of the MMR.
///
/// This value serves the following purposes:
///
/// - The forest is a counter for the total number of elements in the MMR.
/// - Since the MMR is an append-only structure, every change to it causes a change to the
/// `forest`, so this value has a dual purpose as a version tag.
/// - The bits in the forest also corresponds to the count and size of every perfect binary
/// tree that composes the MMR structure, which server to compute indexes and perform
/// validation.
pub(crate) forest: usize,
/// The MMR peaks.
///
/// The peaks are used for two reasons:
///
/// 1. It authenticates the addition of an element to the [PartialMmr], ensuring only valid
/// elements are tracked.
/// 2. During a MMR update peaks can be merged by hashing the left and right hand sides. The
/// peaks are used as the left hand.
///
/// All the peaks of every tree in the MMR forest. The peaks are always ordered by number of
/// leaves, starting from the peak with most children, to the one with least.
pub(crate) peaks: Vec<RpoDigest>,
/// Authentication nodes used to construct merkle paths for a subset of the MMR's leaves.
///
/// This does not include the MMR's peaks nor the tracked nodes, only the elements required
/// to construct their authentication paths. This property is used to detect when elements can
/// be safely removed from, because they are no longer required to authenticate any element in
/// the [PartialMmr].
///
/// The elements in the MMR are referenced using a in-order tree index. This indexing scheme
/// permits for easy computation of the relative nodes (left/right children, sibling, parent),
/// which is useful for traversal. The indexing is also stable, meaning that merges to the
/// trees in the MMR can be represented without rewrites of the indexes.
pub(crate) nodes: BTreeMap<InOrderIndex, RpoDigest>,
/// Flag indicating if the odd element should be tracked.
///
/// This flag is necessary because the sibling of the odd doesn't exist yet, so it can not be
/// added into `nodes` to signal the value is being tracked.
pub(crate) track_latest: bool,
}
impl PartialMmr {
// CONSTRUCTORS
// --------------------------------------------------------------------------------------------
/// Constructs a [PartialMmr] from the given [MmrPeaks].
pub fn from_peaks(peaks: MmrPeaks) -> Self {
let forest = peaks.num_leaves();
let peaks = peaks.peaks().to_vec();
let nodes = BTreeMap::new();
let track_latest = false;
Self { forest, peaks, nodes, track_latest }
}
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns the current `forest` of this [PartialMmr].
///
/// This value corresponds to the version of the [PartialMmr] and the number of leaves in the
/// underlying MMR.
pub fn forest(&self) -> usize {
self.forest
}
/// Returns the number of leaves in the underlying MMR for this [PartialMmr].
pub fn num_leaves(&self) -> usize {
self.forest
}
/// Returns the peaks of the MMR for this [PartialMmr].
pub fn peaks(&self) -> MmrPeaks {
// expect() is OK here because the constructor ensures that MMR peaks can be constructed
// correctly
MmrPeaks::new(self.forest, self.peaks.clone()).expect("invalid MMR peaks")
}
/// Given a leaf position, returns the Merkle path to its corresponding peak.
///
/// If the position is greater-or-equal than the tree size an error is returned. If the
/// requested value is not tracked returns `None`.
///
/// Note: The leaf position is the 0-indexed number corresponding to the order the leaves were
/// added, this corresponds to the MMR size _prior_ to adding the element. So the 1st element
/// has position 0, the second position 1, and so on.
pub fn open(&self, pos: usize) -> Result<Option<MmrProof>, MmrError> {
let tree_bit =
leaf_to_corresponding_tree(pos, self.forest).ok_or(MmrError::InvalidPosition(pos))?;
let depth = tree_bit as usize;
let mut nodes = Vec::with_capacity(depth);
let mut idx = InOrderIndex::from_leaf_pos(pos);
while let Some(node) = self.nodes.get(&idx.sibling()) {
nodes.push(*node);
idx = idx.parent();
}
// If there are nodes then the path must be complete, otherwise it is a bug
debug_assert!(nodes.is_empty() || nodes.len() == depth);
if nodes.len() != depth {
// The requested `pos` is not being tracked.
Ok(None)
} else {
Ok(Some(MmrProof {
forest: self.forest,
position: pos,
merkle_path: MerklePath::new(nodes),
}))
}
}
// ITERATORS
// --------------------------------------------------------------------------------------------
/// Returns an iterator nodes of all authentication paths of this [PartialMmr].
pub fn nodes(&self) -> impl Iterator<Item = (&InOrderIndex, &RpoDigest)> {
self.nodes.iter()
}
/// Returns an iterator over inner nodes of this [PartialMmr] for the specified leaves.
///
/// The order of iteration is not defined. If a leaf is not presented in this partial MMR it
/// is silently ignored.
pub fn inner_nodes<'a, I: Iterator<Item = &'a (usize, RpoDigest)> + 'a>(
&'a self,
mut leaves: I,
) -> impl Iterator<Item = InnerNodeInfo> + '_ {
let stack = if let Some((pos, leaf)) = leaves.next() {
let idx = InOrderIndex::from_leaf_pos(*pos);
vec![(idx, *leaf)]
} else {
Vec::new()
};
InnerNodeIterator {
nodes: &self.nodes,
leaves,
stack,
seen_nodes: BTreeSet::new(),
}
}
// STATE MUTATORS
// --------------------------------------------------------------------------------------------
/// Add the authentication path represented by [MerklePath] if it is valid.
///
/// The `index` refers to the global position of the leaf in the MMR, these are 0-indexed
/// values assigned in a strictly monotonic fashion as elements are inserted into the MMR,
/// this value corresponds to the values used in the MMR structure.
///
/// The `node` corresponds to the value at `index`, and `path` is the authentication path for
/// that element up to its corresponding Mmr peak. The `node` is only used to compute the root
/// from the authentication path to valid the data, only the authentication data is saved in
/// the structure. If the value is required it should be stored out-of-band.
pub fn add(
&mut self,
index: usize,
node: RpoDigest,
path: &MerklePath,
) -> Result<(), MmrError> {
// Checks there is a tree with same depth as the authentication path, if not the path is
// invalid.
let tree = 1 << path.depth();
if tree & self.forest == 0 {
return Err(MmrError::UnknownPeak);
};
if index + 1 == self.forest
&& path.depth() == 0
&& self.peaks.last().map_or(false, |v| *v == node)
{
self.track_latest = true;
return Ok(());
}
// ignore the trees smaller than the target (these elements are position after the current
// target and don't affect the target index)
let target_forest = self.forest ^ (self.forest & (tree - 1));
let peak_pos = (target_forest.count_ones() - 1) as usize;
// translate from mmr index to merkle path
let path_idx = index - (target_forest ^ tree);
// Compute the root of the authentication path, and check it matches the current version of
// the PartialMmr.
let computed = path.compute_root(path_idx as u64, node).map_err(MmrError::MerkleError)?;
if self.peaks[peak_pos] != computed {
return Err(MmrError::InvalidPeak);
}
let mut idx = InOrderIndex::from_leaf_pos(index);
for node in path.nodes() {
self.nodes.insert(idx.sibling(), *node);
idx = idx.parent();
}
Ok(())
}
/// Remove a leaf of the [PartialMmr] and the unused nodes from the authentication path.
///
/// Note: `leaf_pos` corresponds to the position in the MMR and not on an individual tree.
pub fn remove(&mut self, leaf_pos: usize) {
let mut idx = InOrderIndex::from_leaf_pos(leaf_pos);
self.nodes.remove(&idx.sibling());
// `idx` represent the element that can be computed by the authentication path, because
// these elements can be computed they are not saved for the authentication of the current
// target. In other words, if the idx is present it was added for the authentication of
// another element, and no more elements should be removed otherwise it would remove that
// element's authentication data.
while !self.nodes.contains_key(&idx) {
idx = idx.parent();
self.nodes.remove(&idx.sibling());
}
}
/// Applies updates to this [PartialMmr] and returns a vector of new authentication nodes
/// inserted into the partial MMR.
pub fn apply(&mut self, delta: MmrDelta) -> Result<Vec<(InOrderIndex, RpoDigest)>, MmrError> {
if delta.forest < self.forest {
return Err(MmrError::InvalidPeaks);
}
let mut inserted_nodes = Vec::new();
if delta.forest == self.forest {
if !delta.data.is_empty() {
return Err(MmrError::InvalidUpdate);
}
return Ok(inserted_nodes);
}
// find the tree merges
let changes = self.forest ^ delta.forest;
let largest = 1 << changes.ilog2();
let merges = self.forest & (largest - 1);
debug_assert!(
!self.track_latest || (merges & 1) == 1,
"if there is an odd element, a merge is required"
);
// count the number elements needed to produce largest from the current state
let (merge_count, new_peaks) = if merges != 0 {
let depth = largest.trailing_zeros();
let skipped = merges.trailing_zeros();
let computed = merges.count_ones() - 1;
let merge_count = depth - skipped - computed;
let new_peaks = delta.forest & (largest - 1);
(merge_count, new_peaks)
} else {
(0, changes)
};
// verify the delta size
if (delta.data.len() as u32) != merge_count + new_peaks.count_ones() {
return Err(MmrError::InvalidUpdate);
}
// keeps track of how many data elements from the update have been consumed
let mut update_count = 0;
if merges != 0 {
// starts at the smallest peak and follows the merged peaks
let mut peak_idx = forest_to_root_index(self.forest);
// match order of the update data while applying it
self.peaks.reverse();
// set to true when the data is needed for authentication paths updates
let mut track = self.track_latest;
self.track_latest = false;
let mut peak_count = 0;
let mut target = 1 << merges.trailing_zeros();
let mut new = delta.data[0];
update_count += 1;
while target < largest {
// check if either the left or right subtrees have saved for authentication paths.
// If so, turn tracking on to update those paths.
if target != 1 && !track {
track = self.is_tracked_node(&peak_idx);
}
// update data only contains the nodes from the right subtrees, left nodes are
// either previously known peaks or computed values
let (left, right) = if target & merges != 0 {
let peak = self.peaks[peak_count];
let sibling_idx = peak_idx.sibling();
// if the sibling peak is tracked, add this peaks to the set of
// authentication nodes
if self.is_tracked_node(&sibling_idx) {
self.nodes.insert(peak_idx, new);
inserted_nodes.push((peak_idx, new));
}
peak_count += 1;
(peak, new)
} else {
let update = delta.data[update_count];
update_count += 1;
(new, update)
};
if track {
let sibling_idx = peak_idx.sibling();
if peak_idx.is_left_child() {
self.nodes.insert(sibling_idx, right);
inserted_nodes.push((sibling_idx, right));
} else {
self.nodes.insert(sibling_idx, left);
inserted_nodes.push((sibling_idx, left));
}
}
peak_idx = peak_idx.parent();
new = Rpo256::merge(&[left, right]);
target <<= 1;
}
debug_assert!(peak_count == (merges.count_ones() as usize));
// restore the peaks order
self.peaks.reverse();
// remove the merged peaks
self.peaks.truncate(self.peaks.len() - peak_count);
// add the newly computed peak, the result of the merges
self.peaks.push(new);
}
// The rest of the update data is composed of peaks. None of these elements can contain
// tracked elements because the peaks were unknown, and it is not possible to add elements
// for tacking without authenticating it to a peak.
self.peaks.extend_from_slice(&delta.data[update_count..]);
self.forest = delta.forest;
debug_assert!(self.peaks.len() == (self.forest.count_ones() as usize));
Ok(inserted_nodes)
}
// HELPER METHODS
// --------------------------------------------------------------------------------------------
/// Returns true if this [PartialMmr] tracks authentication path for the node at the specified
/// index.
fn is_tracked_node(&self, node_index: &InOrderIndex) -> bool {
if node_index.is_leaf() {
self.nodes.contains_key(&node_index.sibling())
} else {
let left_child = node_index.left_child();
let right_child = node_index.right_child();
self.nodes.contains_key(&left_child) | self.nodes.contains_key(&right_child)
}
}
}
// CONVERSIONS
// ================================================================================================
impl From<MmrPeaks> for PartialMmr {
fn from(peaks: MmrPeaks) -> Self {
Self::from_peaks(peaks)
}
}
impl From<PartialMmr> for MmrPeaks {
fn from(partial_mmr: PartialMmr) -> Self {
// Safety: the [PartialMmr] maintains the constraints the number of true bits in the forest
// matches the number of peaks, as required by the [MmrPeaks]
MmrPeaks::new(partial_mmr.forest, partial_mmr.peaks).unwrap()
}
}
impl From<&MmrPeaks> for PartialMmr {
fn from(peaks: &MmrPeaks) -> Self {
Self::from_peaks(peaks.clone())
}
}
impl From<&PartialMmr> for MmrPeaks {
fn from(partial_mmr: &PartialMmr) -> Self {
// Safety: the [PartialMmr] maintains the constraints the number of true bits in the forest
// matches the number of peaks, as required by the [MmrPeaks]
MmrPeaks::new(partial_mmr.forest, partial_mmr.peaks.clone()).unwrap()
}
}
// ITERATORS
// ================================================================================================
/// An iterator over every inner node of the [PartialMmr].
pub struct InnerNodeIterator<'a, I: Iterator<Item = &'a (usize, RpoDigest)>> {
nodes: &'a BTreeMap<InOrderIndex, RpoDigest>,
leaves: I,
stack: Vec<(InOrderIndex, RpoDigest)>,
seen_nodes: BTreeSet<InOrderIndex>,
}
impl<'a, I: Iterator<Item = &'a (usize, RpoDigest)>> Iterator for InnerNodeIterator<'a, I> {
type Item = InnerNodeInfo;
fn next(&mut self) -> Option<Self::Item> {
while let Some((idx, node)) = self.stack.pop() {
let parent_idx = idx.parent();
let new_node = self.seen_nodes.insert(parent_idx);
// if we haven't seen this node's parent before, and the node has a sibling, return
// the inner node defined by the parent of this node, and move up the branch
if new_node {
if let Some(sibling) = self.nodes.get(&idx.sibling()) {
let (left, right) = if parent_idx.left_child() == idx {
(node, *sibling)
} else {
(*sibling, node)
};
let parent = Rpo256::merge(&[left, right]);
let inner_node = InnerNodeInfo { value: parent, left, right };
self.stack.push((parent_idx, parent));
return Some(inner_node);
}
}
// the previous leaf has been processed, try to process the next leaf
if let Some((pos, leaf)) = self.leaves.next() {
let idx = InOrderIndex::from_leaf_pos(*pos);
self.stack.push((idx, *leaf));
}
}
None
}
}
// UTILS
// ================================================================================================
/// Given the description of a `forest`, returns the index of the root element of the smallest tree
/// in it.
fn forest_to_root_index(forest: usize) -> InOrderIndex {
// Count total size of all trees in the forest.
let nodes = nodes_in_forest(forest);
// Add the count for the parent nodes that separate each tree. These are allocated but
// currently empty, and correspond to the nodes that will be used once the trees are merged.
let open_trees = (forest.count_ones() - 1) as usize;
// Remove the count of the right subtree of the target tree, target tree root index comes
// before the subtree for the in-order tree walk.
let right_subtree_count = ((1u32 << forest.trailing_zeros()) - 1) as usize;
let idx = nodes + open_trees - right_subtree_count;
InOrderIndex::new(idx.try_into().unwrap())
}
// TESTS
// ================================================================================================
#[cfg(test)]
mod tests {
use super::{forest_to_root_index, BTreeSet, InOrderIndex, PartialMmr, RpoDigest, Vec};
use crate::merkle::{int_to_node, MerkleStore, Mmr, NodeIndex};
const LEAVES: [RpoDigest; 7] = [
int_to_node(0),
int_to_node(1),
int_to_node(2),
int_to_node(3),
int_to_node(4),
int_to_node(5),
int_to_node(6),
];
#[test]
fn test_forest_to_root_index() {
fn idx(pos: usize) -> InOrderIndex {
InOrderIndex::new(pos.try_into().unwrap())
}
// When there is a single tree in the forest, the index is equivalent to the number of
// leaves in that tree, which is `2^n`.
assert_eq!(forest_to_root_index(0b0001), idx(1));
assert_eq!(forest_to_root_index(0b0010), idx(2));
assert_eq!(forest_to_root_index(0b0100), idx(4));
assert_eq!(forest_to_root_index(0b1000), idx(8));
assert_eq!(forest_to_root_index(0b0011), idx(5));
assert_eq!(forest_to_root_index(0b0101), idx(9));
assert_eq!(forest_to_root_index(0b1001), idx(17));
assert_eq!(forest_to_root_index(0b0111), idx(13));
assert_eq!(forest_to_root_index(0b1011), idx(21));
assert_eq!(forest_to_root_index(0b1111), idx(29));
assert_eq!(forest_to_root_index(0b0110), idx(10));
assert_eq!(forest_to_root_index(0b1010), idx(18));
assert_eq!(forest_to_root_index(0b1100), idx(20));
assert_eq!(forest_to_root_index(0b1110), idx(26));
}
#[test]
fn test_partial_mmr_apply_delta() {
// build an MMR with 10 nodes (2 peaks) and a partial MMR based on it
let mut mmr = Mmr::default();
(0..10).for_each(|i| mmr.add(int_to_node(i)));
let mut partial_mmr: PartialMmr = mmr.peaks(mmr.forest()).unwrap().into();
// add authentication path for position 1 and 8
{
let node = mmr.get(1).unwrap();
let proof = mmr.open(1, mmr.forest()).unwrap();
partial_mmr.add(1, node, &proof.merkle_path).unwrap();
}
{
let node = mmr.get(8).unwrap();
let proof = mmr.open(8, mmr.forest()).unwrap();
partial_mmr.add(8, node, &proof.merkle_path).unwrap();
}
// add 2 more nodes into the MMR and validate apply_delta()
(10..12).for_each(|i| mmr.add(int_to_node(i)));
validate_apply_delta(&mmr, &mut partial_mmr);
// add 1 more node to the MMR, validate apply_delta() and start tracking the node
mmr.add(int_to_node(12));
validate_apply_delta(&mmr, &mut partial_mmr);
{
let node = mmr.get(12).unwrap();
let proof = mmr.open(12, mmr.forest()).unwrap();
partial_mmr.add(12, node, &proof.merkle_path).unwrap();
assert!(partial_mmr.track_latest);
}
// by this point we are tracking authentication paths for positions: 1, 8, and 12
// add 3 more nodes to the MMR (collapses to 1 peak) and validate apply_delta()
(13..16).for_each(|i| mmr.add(int_to_node(i)));
validate_apply_delta(&mmr, &mut partial_mmr);
}
fn validate_apply_delta(mmr: &Mmr, partial: &mut PartialMmr) {
let tracked_leaves = partial
.nodes
.iter()
.filter_map(|(index, _)| if index.is_leaf() { Some(index.sibling()) } else { None })
.collect::<Vec<_>>();
let nodes_before = partial.nodes.clone();
// compute and apply delta
let delta = mmr.get_delta(partial.forest(), mmr.forest()).unwrap();
let nodes_delta = partial.apply(delta).unwrap();
// new peaks were computed correctly
assert_eq!(mmr.peaks(mmr.forest()).unwrap(), partial.peaks());
let mut expected_nodes = nodes_before;
for (key, value) in nodes_delta {
// nodes should not be duplicated
assert!(expected_nodes.insert(key, value).is_none());
}
// new nodes should be a combination of original nodes and delta
assert_eq!(expected_nodes, partial.nodes);
// make sure tracked leaves open to the same proofs as in the underlying MMR
for index in tracked_leaves {
let index_value: u64 = index.into();
let pos = index_value / 2;
let proof1 = partial.open(pos as usize).unwrap().unwrap();
let proof2 = mmr.open(pos as usize, mmr.forest()).unwrap();
assert_eq!(proof1, proof2);
}
}
#[test]
fn test_partial_mmr_inner_nodes_iterator() {
// build the MMR
let mmr: Mmr = LEAVES.into();
let first_peak = mmr.peaks(mmr.forest).unwrap().peaks()[0];
// -- test single tree ----------------------------
// get path and node for position 1
let node1 = mmr.get(1).unwrap();
let proof1 = mmr.open(1, mmr.forest()).unwrap();
// create partial MMR and add authentication path to node at position 1
let mut partial_mmr: PartialMmr = mmr.peaks(mmr.forest()).unwrap().into();
partial_mmr.add(1, node1, &proof1.merkle_path).unwrap();
// empty iterator should have no nodes
assert_eq!(partial_mmr.inner_nodes([].iter()).next(), None);
// build Merkle store from authentication paths in partial MMR
let mut store: MerkleStore = MerkleStore::new();
store.extend(partial_mmr.inner_nodes([(1, node1)].iter()));
let index1 = NodeIndex::new(2, 1).unwrap();
let path1 = store.get_path(first_peak, index1).unwrap().path;
assert_eq!(path1, proof1.merkle_path);
// -- test no duplicates --------------------------
// build the partial MMR
let mut partial_mmr: PartialMmr = mmr.peaks(mmr.forest()).unwrap().into();
let node0 = mmr.get(0).unwrap();
let proof0 = mmr.open(0, mmr.forest()).unwrap();
let node2 = mmr.get(2).unwrap();
let proof2 = mmr.open(2, mmr.forest()).unwrap();
partial_mmr.add(0, node0, &proof0.merkle_path).unwrap();
partial_mmr.add(1, node1, &proof1.merkle_path).unwrap();
partial_mmr.add(2, node2, &proof2.merkle_path).unwrap();
// make sure there are no duplicates
let leaves = [(0, node0), (1, node1), (2, node2)];
let mut nodes = BTreeSet::new();
for node in partial_mmr.inner_nodes(leaves.iter()) {
assert!(nodes.insert(node.value));
}
// and also that the store is still be built correctly
store.extend(partial_mmr.inner_nodes(leaves.iter()));
let index0 = NodeIndex::new(2, 0).unwrap();
let index1 = NodeIndex::new(2, 1).unwrap();
let index2 = NodeIndex::new(2, 2).unwrap();
let path0 = store.get_path(first_peak, index0).unwrap().path;
let path1 = store.get_path(first_peak, index1).unwrap().path;
let path2 = store.get_path(first_peak, index2).unwrap().path;
assert_eq!(path0, proof0.merkle_path);
assert_eq!(path1, proof1.merkle_path);
assert_eq!(path2, proof2.merkle_path);
// -- test multiple trees -------------------------
// build the partial MMR
let mut partial_mmr: PartialMmr = mmr.peaks(mmr.forest()).unwrap().into();
let node5 = mmr.get(5).unwrap();
let proof5 = mmr.open(5, mmr.forest()).unwrap();
partial_mmr.add(1, node1, &proof1.merkle_path).unwrap();
partial_mmr.add(5, node5, &proof5.merkle_path).unwrap();
// build Merkle store from authentication paths in partial MMR
let mut store: MerkleStore = MerkleStore::new();
store.extend(partial_mmr.inner_nodes([(1, node1), (5, node5)].iter()));
let index1 = NodeIndex::new(2, 1).unwrap();
let index5 = NodeIndex::new(1, 1).unwrap();
let second_peak = mmr.peaks(mmr.forest).unwrap().peaks()[1];
let path1 = store.get_path(first_peak, index1).unwrap().path;
let path5 = store.get_path(second_peak, index5).unwrap().path;
assert_eq!(path1, proof1.merkle_path);
assert_eq!(path5, proof5.merkle_path);
}
}

View File

@@ -1,18 +1,22 @@
use super::{ use super::{
super::{RpoDigest, Vec, ZERO}, super::{RpoDigest, Vec, ZERO},
Felt, MmrProof, Rpo256, Word, Felt, MmrError, MmrProof, Rpo256, Word,
}; };
#[derive(Debug, Clone, PartialEq)] // MMR PEAKS
// ================================================================================================
#[derive(Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct MmrPeaks { pub struct MmrPeaks {
/// The number of leaves is used to differentiate accumulators that have the same number of /// The number of leaves is used to differentiate MMRs that have the same number of peaks. This
/// peaks. This happens because the number of peaks goes up-and-down as the structure is used /// happens because the number of peaks goes up-and-down as the structure is used causing
/// causing existing trees to be merged and new ones to be created. As an example, every time /// existing trees to be merged and new ones to be created. As an example, every time the MMR
/// the MMR has a power-of-two number of leaves there is a single peak. /// has a power-of-two number of leaves there is a single peak.
/// ///
/// Every tree in the MMR forest has a distinct power-of-two size, this means only the right /// Every tree in the MMR forest has a distinct power-of-two size, this means only the right-
/// most tree can have an odd number of elements (e.g. `1`). Additionally this means that the bits in /// most tree can have an odd number of elements (e.g. `1`). Additionally this means that the
/// `num_leaves` conveniently encode the size of each individual tree. /// bits in `num_leaves` conveniently encode the size of each individual tree.
/// ///
/// Examples: /// Examples:
/// ///
@@ -22,23 +26,63 @@ pub struct MmrPeaks {
/// elements and the left most has `2**2`. /// elements and the left most has `2**2`.
/// - With 12 leaves, the binary is `0b1100`, this case also has 2 peaks, the /// - With 12 leaves, the binary is `0b1100`, this case also has 2 peaks, the
/// leftmost tree has `2**3=8` elements, and the right most has `2**2=4` elements. /// leftmost tree has `2**3=8` elements, and the right most has `2**2=4` elements.
pub num_leaves: usize, num_leaves: usize,
/// All the peaks of every tree in the MMR forest. The peaks are always ordered by number of /// All the peaks of every tree in the MMR forest. The peaks are always ordered by number of
/// leaves, starting from the peak with most children, to the one with least. /// leaves, starting from the peak with most children, to the one with least.
/// ///
/// Invariant: The length of `peaks` must be equal to the number of true bits in `num_leaves`. /// Invariant: The length of `peaks` must be equal to the number of true bits in `num_leaves`.
pub peaks: Vec<RpoDigest>, peaks: Vec<RpoDigest>,
} }
impl MmrPeaks { impl MmrPeaks {
// CONSTRUCTOR
// --------------------------------------------------------------------------------------------
/// Returns new [MmrPeaks] instantiated from the provided vector of peaks and the number of
/// leaves in the underlying MMR.
///
/// # Errors
/// Returns an error if the number of leaves and the number of peaks are inconsistent.
pub fn new(num_leaves: usize, peaks: Vec<RpoDigest>) -> Result<Self, MmrError> {
if num_leaves.count_ones() as usize != peaks.len() {
return Err(MmrError::InvalidPeaks);
}
Ok(Self { num_leaves, peaks })
}
// ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns a count of leaves in the underlying MMR.
pub fn num_leaves(&self) -> usize {
self.num_leaves
}
/// Returns the number of peaks of the underlying MMR.
pub fn num_peaks(&self) -> usize {
self.peaks.len()
}
/// Returns the list of peaks of the underlying MMR.
pub fn peaks(&self) -> &[RpoDigest] {
&self.peaks
}
/// Converts this [MmrPeaks] into its components: number of leaves and a vector of peaks of
/// the underlying MMR.
pub fn into_parts(self) -> (usize, Vec<RpoDigest>) {
(self.num_leaves, self.peaks)
}
/// Hashes the peaks. /// Hashes the peaks.
/// ///
/// The procedure will: /// The procedure will:
/// - Flatten and pad the peaks to a vector of Felts. /// - Flatten and pad the peaks to a vector of Felts.
/// - Hash the vector of Felts. /// - Hash the vector of Felts.
pub fn hash_peaks(&self) -> Word { pub fn hash_peaks(&self) -> RpoDigest {
Rpo256::hash_elements(&self.flatten_and_pad_peaks()).into() Rpo256::hash_elements(&self.flatten_and_pad_peaks())
} }
pub fn verify(&self, value: RpoDigest, opening: MmrProof) -> bool { pub fn verify(&self, value: RpoDigest, opening: MmrProof) -> bool {

View File

@@ -1,8 +1,9 @@
/// The representation of a single Merkle path. /// The representation of a single Merkle path.
use super::super::MerklePath; use super::super::MerklePath;
use super::full::{high_bitmask, leaf_to_corresponding_tree}; use super::{full::high_bitmask, leaf_to_corresponding_tree};
#[derive(Debug, Clone, PartialEq)] #[derive(Debug, Clone, PartialEq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct MmrProof { pub struct MmrProof {
/// The state of the MMR when the MmrProof was created. /// The state of the MMR when the MmrProof was created.
pub forest: usize, pub forest: usize,

View File

@@ -1,12 +1,11 @@
use super::{ use super::{
super::{InnerNodeInfo, Vec}, super::{InnerNodeInfo, Rpo256, RpoDigest, Vec},
bit::TrueBitPositionIterator, bit::TrueBitPositionIterator,
full::{high_bitmask, leaf_to_corresponding_tree, nodes_in_forest}, full::high_bitmask,
Mmr, MmrPeaks, Rpo256, leaf_to_corresponding_tree, nodes_in_forest, Mmr, MmrPeaks, PartialMmr,
}; };
use crate::{ use crate::{
hash::rpo::RpoDigest, merkle::{int_to_node, InOrderIndex, MerklePath, MerkleTree, MmrProof, NodeIndex},
merkle::{int_to_node, MerklePath},
Felt, Word, Felt, Word,
}; };
@@ -118,14 +117,14 @@ fn test_mmr_simple() {
let mut postorder = Vec::new(); let mut postorder = Vec::new();
postorder.push(LEAVES[0]); postorder.push(LEAVES[0]);
postorder.push(LEAVES[1]); postorder.push(LEAVES[1]);
postorder.push(Rpo256::merge(&[LEAVES[0], LEAVES[1]])); postorder.push(merge(LEAVES[0], LEAVES[1]));
postorder.push(LEAVES[2]); postorder.push(LEAVES[2]);
postorder.push(LEAVES[3]); postorder.push(LEAVES[3]);
postorder.push(Rpo256::merge(&[LEAVES[2], LEAVES[3]])); postorder.push(merge(LEAVES[2], LEAVES[3]));
postorder.push(Rpo256::merge(&[postorder[2], postorder[5]])); postorder.push(merge(postorder[2], postorder[5]));
postorder.push(LEAVES[4]); postorder.push(LEAVES[4]);
postorder.push(LEAVES[5]); postorder.push(LEAVES[5]);
postorder.push(Rpo256::merge(&[LEAVES[4], LEAVES[5]])); postorder.push(merge(LEAVES[4], LEAVES[5]));
postorder.push(LEAVES[6]); postorder.push(LEAVES[6]);
let mut mmr = Mmr::new(); let mut mmr = Mmr::new();
@@ -137,162 +136,329 @@ fn test_mmr_simple() {
assert_eq!(mmr.nodes.len(), 1); assert_eq!(mmr.nodes.len(), 1);
assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]); assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]);
let acc = mmr.accumulator(); let acc = mmr.peaks(mmr.forest()).unwrap();
assert_eq!(acc.num_leaves, 1); assert_eq!(acc.num_leaves(), 1);
assert_eq!(acc.peaks, &[postorder[0]]); assert_eq!(acc.peaks(), &[postorder[0]]);
mmr.add(LEAVES[1]); mmr.add(LEAVES[1]);
assert_eq!(mmr.forest(), 2); assert_eq!(mmr.forest(), 2);
assert_eq!(mmr.nodes.len(), 3); assert_eq!(mmr.nodes.len(), 3);
assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]); assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]);
let acc = mmr.accumulator(); let acc = mmr.peaks(mmr.forest()).unwrap();
assert_eq!(acc.num_leaves, 2); assert_eq!(acc.num_leaves(), 2);
assert_eq!(acc.peaks, &[postorder[2]]); assert_eq!(acc.peaks(), &[postorder[2]]);
mmr.add(LEAVES[2]); mmr.add(LEAVES[2]);
assert_eq!(mmr.forest(), 3); assert_eq!(mmr.forest(), 3);
assert_eq!(mmr.nodes.len(), 4); assert_eq!(mmr.nodes.len(), 4);
assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]); assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]);
let acc = mmr.accumulator(); let acc = mmr.peaks(mmr.forest()).unwrap();
assert_eq!(acc.num_leaves, 3); assert_eq!(acc.num_leaves(), 3);
assert_eq!(acc.peaks, &[postorder[2], postorder[3]]); assert_eq!(acc.peaks(), &[postorder[2], postorder[3]]);
mmr.add(LEAVES[3]); mmr.add(LEAVES[3]);
assert_eq!(mmr.forest(), 4); assert_eq!(mmr.forest(), 4);
assert_eq!(mmr.nodes.len(), 7); assert_eq!(mmr.nodes.len(), 7);
assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]); assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]);
let acc = mmr.accumulator(); let acc = mmr.peaks(mmr.forest()).unwrap();
assert_eq!(acc.num_leaves, 4); assert_eq!(acc.num_leaves(), 4);
assert_eq!(acc.peaks, &[postorder[6]]); assert_eq!(acc.peaks(), &[postorder[6]]);
mmr.add(LEAVES[4]); mmr.add(LEAVES[4]);
assert_eq!(mmr.forest(), 5); assert_eq!(mmr.forest(), 5);
assert_eq!(mmr.nodes.len(), 8); assert_eq!(mmr.nodes.len(), 8);
assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]); assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]);
let acc = mmr.accumulator(); let acc = mmr.peaks(mmr.forest()).unwrap();
assert_eq!(acc.num_leaves, 5); assert_eq!(acc.num_leaves(), 5);
assert_eq!(acc.peaks, &[postorder[6], postorder[7]]); assert_eq!(acc.peaks(), &[postorder[6], postorder[7]]);
mmr.add(LEAVES[5]); mmr.add(LEAVES[5]);
assert_eq!(mmr.forest(), 6); assert_eq!(mmr.forest(), 6);
assert_eq!(mmr.nodes.len(), 10); assert_eq!(mmr.nodes.len(), 10);
assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]); assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]);
let acc = mmr.accumulator(); let acc = mmr.peaks(mmr.forest()).unwrap();
assert_eq!(acc.num_leaves, 6); assert_eq!(acc.num_leaves(), 6);
assert_eq!(acc.peaks, &[postorder[6], postorder[9]]); assert_eq!(acc.peaks(), &[postorder[6], postorder[9]]);
mmr.add(LEAVES[6]); mmr.add(LEAVES[6]);
assert_eq!(mmr.forest(), 7); assert_eq!(mmr.forest(), 7);
assert_eq!(mmr.nodes.len(), 11); assert_eq!(mmr.nodes.len(), 11);
assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]); assert_eq!(mmr.nodes.as_slice(), &postorder[0..mmr.nodes.len()]);
let acc = mmr.accumulator(); let acc = mmr.peaks(mmr.forest()).unwrap();
assert_eq!(acc.num_leaves, 7); assert_eq!(acc.num_leaves(), 7);
assert_eq!(acc.peaks, &[postorder[6], postorder[9], postorder[10]]); assert_eq!(acc.peaks(), &[postorder[6], postorder[9], postorder[10]]);
} }
#[test] #[test]
fn test_mmr_open() { fn test_mmr_open() {
let mmr: Mmr = LEAVES.into(); let mmr: Mmr = LEAVES.into();
let h01 = Rpo256::merge(&[LEAVES[0], LEAVES[1]]); let h01 = merge(LEAVES[0], LEAVES[1]);
let h23 = Rpo256::merge(&[LEAVES[2], LEAVES[3]]); let h23 = merge(LEAVES[2], LEAVES[3]);
// node at pos 7 is the root // node at pos 7 is the root
assert!(mmr.open(7).is_err(), "Element 7 is not in the tree, result should be None"); assert!(
mmr.open(7, mmr.forest()).is_err(),
"Element 7 is not in the tree, result should be None"
);
// node at pos 6 is the root // node at pos 6 is the root
let empty: MerklePath = MerklePath::new(vec![]); let empty: MerklePath = MerklePath::new(vec![]);
let opening = mmr let opening = mmr
.open(6) .open(6, mmr.forest())
.expect("Element 6 is contained in the tree, expected an opening result."); .expect("Element 6 is contained in the tree, expected an opening result.");
assert_eq!(opening.merkle_path, empty); assert_eq!(opening.merkle_path, empty);
assert_eq!(opening.forest, mmr.forest); assert_eq!(opening.forest, mmr.forest);
assert_eq!(opening.position, 6); assert_eq!(opening.position, 6);
assert!( assert!(
mmr.accumulator().verify(LEAVES[6], opening), mmr.peaks(mmr.forest()).unwrap().verify(LEAVES[6], opening),
"MmrProof should be valid for the current accumulator." "MmrProof should be valid for the current accumulator."
); );
// nodes 4,5 are depth 1 // nodes 4,5 are depth 1
let root_to_path = MerklePath::new(vec![LEAVES[4]]); let root_to_path = MerklePath::new(vec![LEAVES[4]]);
let opening = mmr let opening = mmr
.open(5) .open(5, mmr.forest())
.expect("Element 5 is contained in the tree, expected an opening result."); .expect("Element 5 is contained in the tree, expected an opening result.");
assert_eq!(opening.merkle_path, root_to_path); assert_eq!(opening.merkle_path, root_to_path);
assert_eq!(opening.forest, mmr.forest); assert_eq!(opening.forest, mmr.forest);
assert_eq!(opening.position, 5); assert_eq!(opening.position, 5);
assert!( assert!(
mmr.accumulator().verify(LEAVES[5], opening), mmr.peaks(mmr.forest()).unwrap().verify(LEAVES[5], opening),
"MmrProof should be valid for the current accumulator." "MmrProof should be valid for the current accumulator."
); );
let root_to_path = MerklePath::new(vec![LEAVES[5]]); let root_to_path = MerklePath::new(vec![LEAVES[5]]);
let opening = mmr let opening = mmr
.open(4) .open(4, mmr.forest())
.expect("Element 4 is contained in the tree, expected an opening result."); .expect("Element 4 is contained in the tree, expected an opening result.");
assert_eq!(opening.merkle_path, root_to_path); assert_eq!(opening.merkle_path, root_to_path);
assert_eq!(opening.forest, mmr.forest); assert_eq!(opening.forest, mmr.forest);
assert_eq!(opening.position, 4); assert_eq!(opening.position, 4);
assert!( assert!(
mmr.accumulator().verify(LEAVES[4], opening), mmr.peaks(mmr.forest()).unwrap().verify(LEAVES[4], opening),
"MmrProof should be valid for the current accumulator." "MmrProof should be valid for the current accumulator."
); );
// nodes 0,1,2,3 are detph 2 // nodes 0,1,2,3 are detph 2
let root_to_path = MerklePath::new(vec![LEAVES[2], h01]); let root_to_path = MerklePath::new(vec![LEAVES[2], h01]);
let opening = mmr let opening = mmr
.open(3) .open(3, mmr.forest())
.expect("Element 3 is contained in the tree, expected an opening result."); .expect("Element 3 is contained in the tree, expected an opening result.");
assert_eq!(opening.merkle_path, root_to_path); assert_eq!(opening.merkle_path, root_to_path);
assert_eq!(opening.forest, mmr.forest); assert_eq!(opening.forest, mmr.forest);
assert_eq!(opening.position, 3); assert_eq!(opening.position, 3);
assert!( assert!(
mmr.accumulator().verify(LEAVES[3], opening), mmr.peaks(mmr.forest()).unwrap().verify(LEAVES[3], opening),
"MmrProof should be valid for the current accumulator." "MmrProof should be valid for the current accumulator."
); );
let root_to_path = MerklePath::new(vec![LEAVES[3], h01]); let root_to_path = MerklePath::new(vec![LEAVES[3], h01]);
let opening = mmr let opening = mmr
.open(2) .open(2, mmr.forest())
.expect("Element 2 is contained in the tree, expected an opening result."); .expect("Element 2 is contained in the tree, expected an opening result.");
assert_eq!(opening.merkle_path, root_to_path); assert_eq!(opening.merkle_path, root_to_path);
assert_eq!(opening.forest, mmr.forest); assert_eq!(opening.forest, mmr.forest);
assert_eq!(opening.position, 2); assert_eq!(opening.position, 2);
assert!( assert!(
mmr.accumulator().verify(LEAVES[2], opening), mmr.peaks(mmr.forest()).unwrap().verify(LEAVES[2], opening),
"MmrProof should be valid for the current accumulator." "MmrProof should be valid for the current accumulator."
); );
let root_to_path = MerklePath::new(vec![LEAVES[0], h23]); let root_to_path = MerklePath::new(vec![LEAVES[0], h23]);
let opening = mmr let opening = mmr
.open(1) .open(1, mmr.forest())
.expect("Element 1 is contained in the tree, expected an opening result."); .expect("Element 1 is contained in the tree, expected an opening result.");
assert_eq!(opening.merkle_path, root_to_path); assert_eq!(opening.merkle_path, root_to_path);
assert_eq!(opening.forest, mmr.forest); assert_eq!(opening.forest, mmr.forest);
assert_eq!(opening.position, 1); assert_eq!(opening.position, 1);
assert!( assert!(
mmr.accumulator().verify(LEAVES[1], opening), mmr.peaks(mmr.forest()).unwrap().verify(LEAVES[1], opening),
"MmrProof should be valid for the current accumulator." "MmrProof should be valid for the current accumulator."
); );
let root_to_path = MerklePath::new(vec![LEAVES[1], h23]); let root_to_path = MerklePath::new(vec![LEAVES[1], h23]);
let opening = mmr let opening = mmr
.open(0) .open(0, mmr.forest())
.expect("Element 0 is contained in the tree, expected an opening result."); .expect("Element 0 is contained in the tree, expected an opening result.");
assert_eq!(opening.merkle_path, root_to_path); assert_eq!(opening.merkle_path, root_to_path);
assert_eq!(opening.forest, mmr.forest); assert_eq!(opening.forest, mmr.forest);
assert_eq!(opening.position, 0); assert_eq!(opening.position, 0);
assert!( assert!(
mmr.accumulator().verify(LEAVES[0], opening), mmr.peaks(mmr.forest()).unwrap().verify(LEAVES[0], opening),
"MmrProof should be valid for the current accumulator." "MmrProof should be valid for the current accumulator."
); );
} }
#[test]
fn test_mmr_open_older_version() {
let mmr: Mmr = LEAVES.into();
fn is_even(v: &usize) -> bool {
v & 1 == 0
}
// merkle path of a node is empty if there are no elements to pair with it
for pos in (0..mmr.forest()).filter(is_even) {
let forest = pos + 1;
let proof = mmr.open(pos, forest).unwrap();
assert_eq!(proof.forest, forest);
assert_eq!(proof.merkle_path.nodes(), []);
assert_eq!(proof.position, pos);
}
// openings match that of a merkle tree
let mtree: MerkleTree = LEAVES[..4].try_into().unwrap();
for forest in 4..=LEAVES.len() {
for pos in 0..4 {
let idx = NodeIndex::new(2, pos).unwrap();
let path = mtree.get_path(idx).unwrap();
let proof = mmr.open(pos as usize, forest).unwrap();
assert_eq!(path, proof.merkle_path);
}
}
let mtree: MerkleTree = LEAVES[4..6].try_into().unwrap();
for forest in 6..=LEAVES.len() {
for pos in 0..2 {
let idx = NodeIndex::new(1, pos).unwrap();
let path = mtree.get_path(idx).unwrap();
// account for the bigger tree with 4 elements
let mmr_pos = (pos + 4) as usize;
let proof = mmr.open(mmr_pos, forest).unwrap();
assert_eq!(path, proof.merkle_path);
}
}
}
/// Tests the openings of a simple Mmr with a single tree of depth 8.
#[test]
fn test_mmr_open_eight() {
let leaves = [
int_to_node(0),
int_to_node(1),
int_to_node(2),
int_to_node(3),
int_to_node(4),
int_to_node(5),
int_to_node(6),
int_to_node(7),
];
let mtree: MerkleTree = leaves.as_slice().try_into().unwrap();
let forest = leaves.len();
let mmr: Mmr = leaves.into();
let root = mtree.root();
let position = 0;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path = mtree.get_path(NodeIndex::new(3, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(position as u64, leaves[position]).unwrap(), root);
let position = 1;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path = mtree.get_path(NodeIndex::new(3, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(position as u64, leaves[position]).unwrap(), root);
let position = 2;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path = mtree.get_path(NodeIndex::new(3, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(position as u64, leaves[position]).unwrap(), root);
let position = 3;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path = mtree.get_path(NodeIndex::new(3, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(position as u64, leaves[position]).unwrap(), root);
let position = 4;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path = mtree.get_path(NodeIndex::new(3, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(position as u64, leaves[position]).unwrap(), root);
let position = 5;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path = mtree.get_path(NodeIndex::new(3, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(position as u64, leaves[position]).unwrap(), root);
let position = 6;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path = mtree.get_path(NodeIndex::new(3, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(position as u64, leaves[position]).unwrap(), root);
let position = 7;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path = mtree.get_path(NodeIndex::new(3, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(position as u64, leaves[position]).unwrap(), root);
}
/// Tests the openings of Mmr with a 3 trees of depths 4, 2, and 1.
#[test]
fn test_mmr_open_seven() {
let mtree1: MerkleTree = LEAVES[..4].try_into().unwrap();
let mtree2: MerkleTree = LEAVES[4..6].try_into().unwrap();
let forest = LEAVES.len();
let mmr: Mmr = LEAVES.into();
let position = 0;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path: MerklePath =
mtree1.get_path(NodeIndex::new(2, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(0, LEAVES[0]).unwrap(), mtree1.root());
let position = 1;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path: MerklePath =
mtree1.get_path(NodeIndex::new(2, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(1, LEAVES[1]).unwrap(), mtree1.root());
let position = 2;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path: MerklePath =
mtree1.get_path(NodeIndex::new(2, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(2, LEAVES[2]).unwrap(), mtree1.root());
let position = 3;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path: MerklePath =
mtree1.get_path(NodeIndex::new(2, position as u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(3, LEAVES[3]).unwrap(), mtree1.root());
let position = 4;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path: MerklePath = mtree2.get_path(NodeIndex::new(1, 0u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(0, LEAVES[4]).unwrap(), mtree2.root());
let position = 5;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path: MerklePath = mtree2.get_path(NodeIndex::new(1, 1u64).unwrap()).unwrap();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(1, LEAVES[5]).unwrap(), mtree2.root());
let position = 6;
let proof = mmr.open(position, mmr.forest()).unwrap();
let merkle_path: MerklePath = [].as_ref().into();
assert_eq!(proof, MmrProof { forest, position, merkle_path });
assert_eq!(proof.merkle_path.compute_root(0, LEAVES[6]).unwrap(), LEAVES[6]);
}
#[test] #[test]
fn test_mmr_get() { fn test_mmr_get() {
let mmr: Mmr = LEAVES.into(); let mmr: Mmr = LEAVES.into();
@@ -311,15 +477,16 @@ fn test_mmr_invariants() {
let mut mmr = Mmr::new(); let mut mmr = Mmr::new();
for v in 1..=1028 { for v in 1..=1028 {
mmr.add(int_to_node(v)); mmr.add(int_to_node(v));
let accumulator = mmr.accumulator(); let accumulator = mmr.peaks(mmr.forest()).unwrap();
assert_eq!(v as usize, mmr.forest(), "MMR leaf count must increase by one on every add"); assert_eq!(v as usize, mmr.forest(), "MMR leaf count must increase by one on every add");
assert_eq!( assert_eq!(
v as usize, accumulator.num_leaves, v as usize,
accumulator.num_leaves(),
"MMR and its accumulator must match leaves count" "MMR and its accumulator must match leaves count"
); );
assert_eq!( assert_eq!(
accumulator.num_leaves.count_ones() as usize, accumulator.num_leaves().count_ones() as usize,
accumulator.peaks.len(), accumulator.peaks().len(),
"bits on leaves must match the number of peaks" "bits on leaves must match the number of peaks"
); );
@@ -380,11 +547,7 @@ fn test_mmr_inner_nodes() {
left: LEAVES[2], left: LEAVES[2],
right: LEAVES[3], right: LEAVES[3],
}, },
InnerNodeInfo { InnerNodeInfo { value: h0123, left: h01, right: h23 },
value: h0123,
left: h01,
right: h23,
},
InnerNodeInfo { InnerNodeInfo {
value: h45, value: h45,
left: LEAVES[4], left: LEAVES[4],
@@ -395,10 +558,50 @@ fn test_mmr_inner_nodes() {
assert_eq!(postorder, nodes); assert_eq!(postorder, nodes);
} }
#[test]
fn test_mmr_peaks() {
let mmr: Mmr = LEAVES.into();
let forest = 0b0001;
let acc = mmr.peaks(forest).unwrap();
assert_eq!(acc.num_leaves(), forest);
assert_eq!(acc.peaks(), &[mmr.nodes[0]]);
let forest = 0b0010;
let acc = mmr.peaks(forest).unwrap();
assert_eq!(acc.num_leaves(), forest);
assert_eq!(acc.peaks(), &[mmr.nodes[2]]);
let forest = 0b0011;
let acc = mmr.peaks(forest).unwrap();
assert_eq!(acc.num_leaves(), forest);
assert_eq!(acc.peaks(), &[mmr.nodes[2], mmr.nodes[3]]);
let forest = 0b0100;
let acc = mmr.peaks(forest).unwrap();
assert_eq!(acc.num_leaves(), forest);
assert_eq!(acc.peaks(), &[mmr.nodes[6]]);
let forest = 0b0101;
let acc = mmr.peaks(forest).unwrap();
assert_eq!(acc.num_leaves(), forest);
assert_eq!(acc.peaks(), &[mmr.nodes[6], mmr.nodes[7]]);
let forest = 0b0110;
let acc = mmr.peaks(forest).unwrap();
assert_eq!(acc.num_leaves(), forest);
assert_eq!(acc.peaks(), &[mmr.nodes[6], mmr.nodes[9]]);
let forest = 0b0111;
let acc = mmr.peaks(forest).unwrap();
assert_eq!(acc.num_leaves(), forest);
assert_eq!(acc.peaks(), &[mmr.nodes[6], mmr.nodes[9], mmr.nodes[10]]);
}
#[test] #[test]
fn test_mmr_hash_peaks() { fn test_mmr_hash_peaks() {
let mmr: Mmr = LEAVES.into(); let mmr: Mmr = LEAVES.into();
let peaks = mmr.accumulator(); let peaks = mmr.peaks(mmr.forest()).unwrap();
let first_peak = Rpo256::merge(&[ let first_peak = Rpo256::merge(&[
Rpo256::merge(&[LEAVES[0], LEAVES[1]]), Rpo256::merge(&[LEAVES[0], LEAVES[1]]),
@@ -410,10 +613,7 @@ fn test_mmr_hash_peaks() {
// minimum length is 16 // minimum length is 16
let mut expected_peaks = [first_peak, second_peak, third_peak].to_vec(); let mut expected_peaks = [first_peak, second_peak, third_peak].to_vec();
expected_peaks.resize(16, RpoDigest::default()); expected_peaks.resize(16, RpoDigest::default());
assert_eq!( assert_eq!(peaks.hash_peaks(), Rpo256::hash_elements(&digests_to_elements(&expected_peaks)));
peaks.hash_peaks(),
*Rpo256::hash_elements(&digests_to_elements(&expected_peaks))
);
} }
#[test] #[test]
@@ -422,17 +622,16 @@ fn test_mmr_peaks_hash_less_than_16() {
for i in 0..16 { for i in 0..16 {
peaks.push(int_to_node(i)); peaks.push(int_to_node(i));
let accumulator = MmrPeaks {
num_leaves: (1 << peaks.len()) - 1, let num_leaves = (1 << peaks.len()) - 1;
peaks: peaks.clone(), let accumulator = MmrPeaks::new(num_leaves, peaks.clone()).unwrap();
};
// minimum length is 16 // minimum length is 16
let mut expected_peaks = peaks.clone(); let mut expected_peaks = peaks.clone();
expected_peaks.resize(16, RpoDigest::default()); expected_peaks.resize(16, RpoDigest::default());
assert_eq!( assert_eq!(
accumulator.hash_peaks(), accumulator.hash_peaks(),
*Rpo256::hash_elements(&digests_to_elements(&expected_peaks)) Rpo256::hash_elements(&digests_to_elements(&expected_peaks))
); );
} }
} }
@@ -441,20 +640,201 @@ fn test_mmr_peaks_hash_less_than_16() {
fn test_mmr_peaks_hash_odd() { fn test_mmr_peaks_hash_odd() {
let peaks: Vec<_> = (0..=17).map(int_to_node).collect(); let peaks: Vec<_> = (0..=17).map(int_to_node).collect();
let accumulator = MmrPeaks { let num_leaves = (1 << peaks.len()) - 1;
num_leaves: (1 << peaks.len()) - 1, let accumulator = MmrPeaks::new(num_leaves, peaks.clone()).unwrap();
peaks: peaks.clone(),
};
// odd length bigger than 16 is padded to the next even number // odd length bigger than 16 is padded to the next even number
let mut expected_peaks = peaks; let mut expected_peaks = peaks;
expected_peaks.resize(18, RpoDigest::default()); expected_peaks.resize(18, RpoDigest::default());
assert_eq!( assert_eq!(
accumulator.hash_peaks(), accumulator.hash_peaks(),
*Rpo256::hash_elements(&digests_to_elements(&expected_peaks)) Rpo256::hash_elements(&digests_to_elements(&expected_peaks))
); );
} }
#[test]
fn test_mmr_delta() {
let mmr: Mmr = LEAVES.into();
let acc = mmr.peaks(mmr.forest()).unwrap();
// original_forest can't have more elements
assert!(
mmr.get_delta(LEAVES.len() + 1, mmr.forest()).is_err(),
"Can not provide updates for a newer Mmr"
);
// if the number of elements is the same there is no change
assert!(
mmr.get_delta(LEAVES.len(), mmr.forest()).unwrap().data.is_empty(),
"There are no updates for the same Mmr version"
);
// missing the last element added, which is itself a tree peak
assert_eq!(mmr.get_delta(6, mmr.forest()).unwrap().data, vec![acc.peaks()[2]], "one peak");
// missing the sibling to complete the tree of depth 2, and the last element
assert_eq!(
mmr.get_delta(5, mmr.forest()).unwrap().data,
vec![LEAVES[5], acc.peaks()[2]],
"one sibling, one peak"
);
// missing the whole last two trees, only send the peaks
assert_eq!(
mmr.get_delta(4, mmr.forest()).unwrap().data,
vec![acc.peaks()[1], acc.peaks()[2]],
"two peaks"
);
// missing the sibling to complete the first tree, and the two last trees
assert_eq!(
mmr.get_delta(3, mmr.forest()).unwrap().data,
vec![LEAVES[3], acc.peaks()[1], acc.peaks()[2]],
"one sibling, two peaks"
);
// missing half of the first tree, only send the computed element (not the leaves), and the new
// peaks
assert_eq!(
mmr.get_delta(2, mmr.forest()).unwrap().data,
vec![mmr.nodes[5], acc.peaks()[1], acc.peaks()[2]],
"one sibling, two peaks"
);
assert_eq!(
mmr.get_delta(1, mmr.forest()).unwrap().data,
vec![LEAVES[1], mmr.nodes[5], acc.peaks()[1], acc.peaks()[2]],
"one sibling, two peaks"
);
assert_eq!(&mmr.get_delta(0, mmr.forest()).unwrap().data, acc.peaks(), "all peaks");
}
#[test]
fn test_mmr_delta_old_forest() {
let mmr: Mmr = LEAVES.into();
// from_forest must be smaller-or-equal to to_forest
for version in 1..=mmr.forest() {
assert!(mmr.get_delta(version + 1, version).is_err());
}
// when from_forest and to_forest are equal, there are no updates
for version in 1..=mmr.forest() {
let delta = mmr.get_delta(version, version).unwrap();
assert!(delta.data.is_empty());
assert_eq!(delta.forest, version);
}
// test update which merges the odd peak to the right
for count in 0..(mmr.forest() / 2) {
// *2 because every iteration tests a pair
// +1 because the Mmr is 1-indexed
let from_forest = (count * 2) + 1;
let to_forest = (count * 2) + 2;
let delta = mmr.get_delta(from_forest, to_forest).unwrap();
// *2 because every iteration tests a pair
// +1 because sibling is the odd element
let sibling = (count * 2) + 1;
assert_eq!(delta.data, [LEAVES[sibling]]);
assert_eq!(delta.forest, to_forest);
}
let version = 4;
let delta = mmr.get_delta(1, version).unwrap();
assert_eq!(delta.data, [mmr.nodes[1], mmr.nodes[5]]);
assert_eq!(delta.forest, version);
let version = 5;
let delta = mmr.get_delta(1, version).unwrap();
assert_eq!(delta.data, [mmr.nodes[1], mmr.nodes[5], mmr.nodes[7]]);
assert_eq!(delta.forest, version);
}
#[test]
fn test_partial_mmr_simple() {
let mmr: Mmr = LEAVES.into();
let peaks = mmr.peaks(mmr.forest()).unwrap();
let mut partial: PartialMmr = peaks.clone().into();
// check initial state of the partial mmr
assert_eq!(partial.peaks(), peaks);
assert_eq!(partial.forest(), peaks.num_leaves());
assert_eq!(partial.forest(), LEAVES.len());
assert_eq!(partial.peaks().num_peaks(), 3);
assert_eq!(partial.nodes.len(), 0);
// check state after adding tracking one element
let proof1 = mmr.open(0, mmr.forest()).unwrap();
let el1 = mmr.get(proof1.position).unwrap();
partial.add(proof1.position, el1, &proof1.merkle_path).unwrap();
// check the number of nodes increased by the number of nodes in the proof
assert_eq!(partial.nodes.len(), proof1.merkle_path.len());
// check the values match
let idx = InOrderIndex::from_leaf_pos(proof1.position);
assert_eq!(partial.nodes[&idx.sibling()], proof1.merkle_path[0]);
let idx = idx.parent();
assert_eq!(partial.nodes[&idx.sibling()], proof1.merkle_path[1]);
let proof2 = mmr.open(1, mmr.forest()).unwrap();
let el2 = mmr.get(proof2.position).unwrap();
partial.add(proof2.position, el2, &proof2.merkle_path).unwrap();
// check the number of nodes increased by a single element (the one that is not shared)
assert_eq!(partial.nodes.len(), 3);
// check the values match
let idx = InOrderIndex::from_leaf_pos(proof2.position);
assert_eq!(partial.nodes[&idx.sibling()], proof2.merkle_path[0]);
let idx = idx.parent();
assert_eq!(partial.nodes[&idx.sibling()], proof2.merkle_path[1]);
}
#[test]
fn test_partial_mmr_update_single() {
let mut full = Mmr::new();
let zero = int_to_node(0);
full.add(zero);
let mut partial: PartialMmr = full.peaks(full.forest()).unwrap().into();
let proof = full.open(0, full.forest()).unwrap();
partial.add(proof.position, zero, &proof.merkle_path).unwrap();
for i in 1..100 {
let node = int_to_node(i);
full.add(node);
let delta = full.get_delta(partial.forest(), full.forest()).unwrap();
partial.apply(delta).unwrap();
assert_eq!(partial.forest(), full.forest());
assert_eq!(partial.peaks(), full.peaks(full.forest()).unwrap());
let proof1 = full.open(i as usize, full.forest()).unwrap();
partial.add(proof1.position, node, &proof1.merkle_path).unwrap();
let proof2 = partial.open(proof1.position).unwrap().unwrap();
assert_eq!(proof1.merkle_path, proof2.merkle_path);
}
}
#[test]
fn test_mmr_add_invalid_odd_leaf() {
let mmr: Mmr = LEAVES.into();
let acc = mmr.peaks(mmr.forest()).unwrap();
let mut partial: PartialMmr = acc.clone().into();
let empty = MerklePath::new(Vec::new());
// None of the other leaves should work
for node in LEAVES.iter().cloned().rev().skip(1) {
let result = partial.add(LEAVES.len() - 1, node, &empty);
assert!(result.is_err());
}
let result = partial.add(LEAVES.len() - 1, LEAVES[6], &empty);
assert!(result.is_ok());
}
mod property_tests { mod property_tests {
use super::leaf_to_corresponding_tree; use super::leaf_to_corresponding_tree;
use proptest::prelude::*; use proptest::prelude::*;
@@ -475,10 +855,10 @@ mod property_tests {
proptest! { proptest! {
#[test] #[test]
fn test_contained_tree_is_always_power_of_two((leaves, pos) in any::<usize>().prop_flat_map(|v| (Just(v), 0..v))) { fn test_contained_tree_is_always_power_of_two((leaves, pos) in any::<usize>().prop_flat_map(|v| (Just(v), 0..v))) {
let tree = leaf_to_corresponding_tree(pos, leaves).expect("pos is smaller than leaves, there should always be a corresponding tree"); let tree_bit = leaf_to_corresponding_tree(pos, leaves).expect("pos is smaller than leaves, there should always be a corresponding tree");
let mask = 1usize << tree; let mask = 1usize << tree_bit;
assert!(tree < usize::BITS, "the result must be a bit in usize"); assert!(tree_bit < usize::BITS, "the result must be a bit in usize");
assert!(mask & leaves != 0, "the result should be a tree in leaves"); assert!(mask & leaves != 0, "the result should be a tree in leaves");
} }
} }
@@ -490,3 +870,8 @@ mod property_tests {
fn digests_to_elements(digests: &[RpoDigest]) -> Vec<Felt> { fn digests_to_elements(digests: &[RpoDigest]) -> Vec<Felt> {
digests.iter().flat_map(Word::from).collect() digests.iter().flat_map(Word::from).collect()
} }
// short hand for the rpo hash, used to make test code more concise and easy to read
fn merge(l: RpoDigest, r: RpoDigest) -> RpoDigest {
Rpo256::merge(&[l, r])
}

View File

@@ -1,9 +1,10 @@
//! Data structures related to Merkle trees based on RPO256 hash function.
use super::{ use super::{
hash::rpo::{Rpo256, RpoDigest}, hash::rpo::{Rpo256, RpoDigest},
utils::collections::{vec, BTreeMap, BTreeSet, KvMap, RecordingMap, Vec}, utils::collections::{vec, BTreeMap, BTreeSet, KvMap, RecordingMap, TryApplyDiff, Vec},
Felt, StarkField, Word, WORD_SIZE, ZERO, Felt, StarkField, Word, EMPTY_WORD, ZERO,
}; };
use core::fmt;
// REEXPORTS // REEXPORTS
// ================================================================================================ // ================================================================================================
@@ -11,6 +12,9 @@ use core::fmt;
mod empty_roots; mod empty_roots;
pub use empty_roots::EmptySubtreeRoots; pub use empty_roots::EmptySubtreeRoots;
mod delta;
pub use delta::{merkle_tree_delta, MerkleStoreDelta, MerkleTreeDelta};
mod index; mod index;
pub use index::NodeIndex; pub use index::NodeIndex;
@@ -20,17 +24,14 @@ pub use merkle_tree::{path_to_text, tree_to_text, MerkleTree};
mod path; mod path;
pub use path::{MerklePath, RootPath, ValuePath}; pub use path::{MerklePath, RootPath, ValuePath};
mod path_set;
pub use path_set::MerklePathSet;
mod simple_smt; mod simple_smt;
pub use simple_smt::SimpleSmt; pub use simple_smt::SimpleSmt;
mod tiered_smt; mod tiered_smt;
pub use tiered_smt::TieredSmt; pub use tiered_smt::{TieredSmt, TieredSmtProof, TieredSmtProofError};
mod mmr; mod mmr;
pub use mmr::{Mmr, MmrPeaks, MmrProof}; pub use mmr::{InOrderIndex, Mmr, MmrDelta, MmrError, MmrPeaks, MmrProof, PartialMmr};
mod store; mod store;
pub use store::{DefaultMerkleStore, MerkleStore, RecordingMerkleStore, StoreNode}; pub use store::{DefaultMerkleStore, MerkleStore, RecordingMerkleStore, StoreNode};
@@ -41,57 +42,8 @@ pub use node::InnerNodeInfo;
mod partial_mt; mod partial_mt;
pub use partial_mt::PartialMerkleTree; pub use partial_mt::PartialMerkleTree;
// ERRORS mod error;
// ================================================================================================ pub use error::MerkleError;
#[derive(Clone, Debug, PartialEq, Eq)]
pub enum MerkleError {
ConflictingRoots(Vec<RpoDigest>),
DepthTooSmall(u8),
DepthTooBig(u64),
DuplicateValuesForIndex(u64),
DuplicateValuesForKey(RpoDigest),
InvalidIndex { depth: u8, value: u64 },
InvalidDepth { expected: u8, provided: u8 },
InvalidPath(MerklePath),
InvalidNumEntries(usize, usize),
NodeNotInSet(NodeIndex),
NodeNotInStore(RpoDigest, NodeIndex),
NumLeavesNotPowerOfTwo(usize),
RootNotInStore(RpoDigest),
}
impl fmt::Display for MerkleError {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
use MerkleError::*;
match self {
ConflictingRoots(roots) => write!(f, "the merkle paths roots do not match {roots:?}"),
DepthTooSmall(depth) => write!(f, "the provided depth {depth} is too small"),
DepthTooBig(depth) => write!(f, "the provided depth {depth} is too big"),
DuplicateValuesForIndex(key) => write!(f, "multiple values provided for key {key}"),
DuplicateValuesForKey(key) => write!(f, "multiple values provided for key {key}"),
InvalidIndex{ depth, value} => write!(
f,
"the index value {value} is not valid for the depth {depth}"
),
InvalidDepth { expected, provided } => write!(
f,
"the provided depth {provided} is not valid for {expected}"
),
InvalidPath(_path) => write!(f, "the provided path is not valid"),
InvalidNumEntries(max, provided) => write!(f, "the provided number of entries is {provided}, but the maximum for the given depth is {max}"),
NodeNotInSet(index) => write!(f, "the node with index ({index}) is not in the set"),
NodeNotInStore(hash, index) => write!(f, "the node {hash:?} with index ({index}) is not in the store"),
NumLeavesNotPowerOfTwo(leaves) => {
write!(f, "the leaves count {leaves} is not a power of 2")
}
RootNotInStore(root) => write!(f, "the root {:?} is not in the store", root),
}
}
}
#[cfg(feature = "std")]
impl std::error::Error for MerkleError {}
// HELPER FUNCTIONS // HELPER FUNCTIONS
// ================================================================================================ // ================================================================================================

View File

@@ -1,7 +1,8 @@
use crate::hash::rpo::RpoDigest; use super::RpoDigest;
/// Representation of a node with two children used for iterating over containers. /// Representation of a node with two children used for iterating over containers.
#[derive(Debug, Clone, PartialEq, Eq)] #[derive(Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct InnerNodeInfo { pub struct InnerNodeInfo {
pub value: RpoDigest, pub value: RpoDigest,
pub left: RpoDigest, pub left: RpoDigest,

View File

@@ -1,7 +1,11 @@
use super::{ use super::{
BTreeMap, BTreeSet, MerkleError, MerklePath, NodeIndex, Rpo256, RpoDigest, ValuePath, Vec, ZERO, BTreeMap, BTreeSet, InnerNodeInfo, MerkleError, MerklePath, NodeIndex, Rpo256, RpoDigest,
ValuePath, Vec, Word, EMPTY_WORD,
};
use crate::utils::{
format, string::String, vec, word_to_hex, ByteReader, ByteWriter, Deserializable,
DeserializationError, Serializable,
}; };
use crate::utils::{format, string::String, word_to_hex};
use core::fmt; use core::fmt;
#[cfg(test)] #[cfg(test)]
@@ -14,7 +18,7 @@ mod tests;
const ROOT_INDEX: NodeIndex = NodeIndex::root(); const ROOT_INDEX: NodeIndex = NodeIndex::root();
/// An RpoDigest consisting of 4 ZERO elements. /// An RpoDigest consisting of 4 ZERO elements.
const EMPTY_DIGEST: RpoDigest = RpoDigest::new([ZERO; 4]); const EMPTY_DIGEST: RpoDigest = RpoDigest::new(EMPTY_WORD);
// PARTIAL MERKLE TREE // PARTIAL MERKLE TREE
// ================================================================================================ // ================================================================================================
@@ -24,6 +28,7 @@ const EMPTY_DIGEST: RpoDigest = RpoDigest::new([ZERO; 4]);
/// ///
/// The root of the tree is recomputed on each new leaf update. /// The root of the tree is recomputed on each new leaf update.
#[derive(Debug, Clone, PartialEq, Eq)] #[derive(Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct PartialMerkleTree { pub struct PartialMerkleTree {
max_depth: u8, max_depth: u8,
nodes: BTreeMap<NodeIndex, RpoDigest>, nodes: BTreeMap<NodeIndex, RpoDigest>,
@@ -74,6 +79,88 @@ impl PartialMerkleTree {
}) })
} }
/// Returns a new [PartialMerkleTree] instantiated with leaves map as specified by the provided
/// entries.
///
/// # Errors
/// Returns an error if:
/// - If the depth is 0 or is greater than 64.
/// - The number of entries exceeds the maximum tree capacity, that is 2^{depth}.
/// - The provided entries contain an insufficient set of nodes.
pub fn with_leaves<R, I>(entries: R) -> Result<Self, MerkleError>
where
R: IntoIterator<IntoIter = I>,
I: Iterator<Item = (NodeIndex, RpoDigest)> + ExactSizeIterator,
{
let mut layers: BTreeMap<u8, Vec<u64>> = BTreeMap::new();
let mut leaves = BTreeSet::new();
let mut nodes = BTreeMap::new();
// add data to the leaves and nodes maps and also fill layers map, where the key is the
// depth of the node and value is its index.
for (node_index, hash) in entries.into_iter() {
leaves.insert(node_index);
nodes.insert(node_index, hash);
layers
.entry(node_index.depth())
.and_modify(|layer_vec| layer_vec.push(node_index.value()))
.or_insert(vec![node_index.value()]);
}
// check if the number of leaves can be accommodated by the tree's depth; we use a min
// depth of 63 because we consider passing in a vector of size 2^64 infeasible.
let max = 2usize.pow(63);
if layers.len() > max {
return Err(MerkleError::InvalidNumEntries(max));
}
// Get maximum depth
let max_depth = *layers.keys().next_back().unwrap_or(&0);
// fill layers without nodes with empty vector
for depth in 0..max_depth {
layers.entry(depth).or_default();
}
let mut layer_iter = layers.into_values().rev();
let mut parent_layer = layer_iter.next().unwrap();
let mut current_layer;
for depth in (1..max_depth + 1).rev() {
// set current_layer = parent_layer and parent_layer = layer_iter.next()
current_layer = layer_iter.next().unwrap();
core::mem::swap(&mut current_layer, &mut parent_layer);
for index_value in current_layer {
// get the parent node index
let parent_node = NodeIndex::new(depth - 1, index_value / 2)?;
// Check if the parent hash was already calculated. In about half of the cases, we
// don't need to do anything.
if !parent_layer.contains(&parent_node.value()) {
// create current node index
let index = NodeIndex::new(depth, index_value)?;
// get hash of the current node
let node = nodes.get(&index).ok_or(MerkleError::NodeNotInSet(index))?;
// get hash of the sibling node
let sibling = nodes
.get(&index.sibling())
.ok_or(MerkleError::NodeNotInSet(index.sibling()))?;
// get parent hash
let parent = Rpo256::merge(&index.build_node(*node, *sibling));
// add index value of the calculated node to the parents layer
parent_layer.push(parent_node.value());
// add index and hash to the nodes map
nodes.insert(parent_node, parent);
}
}
}
Ok(PartialMerkleTree { max_depth, nodes, leaves })
}
// PUBLIC ACCESSORS // PUBLIC ACCESSORS
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
@@ -101,7 +188,7 @@ impl PartialMerkleTree {
} }
/// Returns a vector of paths from every leaf to the root. /// Returns a vector of paths from every leaf to the root.
pub fn paths(&self) -> Vec<(NodeIndex, ValuePath)> { pub fn to_paths(&self) -> Vec<(NodeIndex, ValuePath)> {
let mut paths = Vec::new(); let mut paths = Vec::new();
self.leaves.iter().for_each(|&leaf| { self.leaves.iter().for_each(|&leaf| {
paths.push(( paths.push((
@@ -160,6 +247,22 @@ impl PartialMerkleTree {
}) })
} }
/// Returns an iterator over the inner nodes of this Merkle tree.
pub fn inner_nodes(&self) -> impl Iterator<Item = InnerNodeInfo> + '_ {
let inner_nodes = self.nodes.iter().filter(|(index, _)| !self.leaves.contains(index));
inner_nodes.map(|(index, digest)| {
let left_hash =
self.nodes.get(&index.left_child()).expect("Failed to get left child hash");
let right_hash =
self.nodes.get(&index.right_child()).expect("Failed to get right child hash");
InnerNodeInfo {
value: *digest,
left: *left_hash,
right: *right_hash,
}
})
}
// STATE MUTATORS // STATE MUTATORS
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
@@ -234,38 +337,39 @@ impl PartialMerkleTree {
} }
/// Updates value of the leaf at the specified index returning the old leaf value. /// Updates value of the leaf at the specified index returning the old leaf value.
/// By default the specified index is assumed to belong to the deepest layer. If the considered
/// node does not belong to the tree, the first node on the way to the root will be changed.
///
/// By default the specified index is assumed to belong to the deepest layer. If the considered
/// node does not belong to the tree, the first node on the way to the root will be changed.
/// ///
/// This also recomputes all hashes between the leaf and the root, updating the root itself. /// This also recomputes all hashes between the leaf and the root, updating the root itself.
/// ///
/// # Errors /// # Errors
/// Returns an error if: /// Returns an error if:
/// - The depth of the specified node_index is greater than 64 or smaller than 1. /// - The specified index is greater than the maximum number of nodes on the deepest layer.
/// - The specified node index is not corresponding to the leaf. pub fn update_leaf(&mut self, index: u64, value: Word) -> Result<RpoDigest, MerkleError> {
pub fn update_leaf( let mut node_index = NodeIndex::new(self.max_depth(), index)?;
&mut self,
node_index: NodeIndex,
value: RpoDigest,
) -> Result<RpoDigest, MerkleError> {
// check correctness of the depth and update it
Self::check_depth(node_index.depth())?;
self.update_depth(node_index.depth());
// insert NodeIndex to the leaves Set // proceed to the leaf
self.leaves.insert(node_index); for _ in 0..node_index.depth() {
if !self.leaves.contains(&node_index) {
node_index.move_up();
}
}
// add node value to the nodes Map // add node value to the nodes Map
let old_value = self let old_value = self
.nodes .nodes
.insert(node_index, value) .insert(node_index, value.into())
.ok_or(MerkleError::NodeNotInSet(node_index))?; .ok_or(MerkleError::NodeNotInSet(node_index))?;
// if the old value and new value are the same, there is nothing to update // if the old value and new value are the same, there is nothing to update
if value == old_value { if value == *old_value {
return Ok(old_value); return Ok(old_value);
} }
let mut node_index = node_index; let mut value = value.into();
let mut value = value;
for _ in 0..node_index.depth() { for _ in 0..node_index.depth() {
let sibling = self.nodes.get(&node_index.sibling()).expect("sibling should exist"); let sibling = self.nodes.get(&node_index.sibling()).expect("sibling should exist");
value = Rpo256::merge(&node_index.build_node(value, *sibling)); value = Rpo256::merge(&node_index.build_node(value, *sibling));
@@ -327,3 +431,37 @@ impl PartialMerkleTree {
Ok(()) Ok(())
} }
} }
// SERIALIZATION
// ================================================================================================
impl Serializable for PartialMerkleTree {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
// write leaf nodes
target.write_u64(self.leaves.len() as u64);
for leaf_index in self.leaves.iter() {
leaf_index.write_into(target);
self.get_node(*leaf_index).expect("Leaf hash not found").write_into(target);
}
}
}
impl Deserializable for PartialMerkleTree {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let leaves_len = source.read_u64()? as usize;
let mut leaf_nodes = Vec::with_capacity(leaves_len);
// add leaf nodes to the vector
for _ in 0..leaves_len {
let index = NodeIndex::read_from(source)?;
let hash = RpoDigest::read_from(source)?;
leaf_nodes.push((index, hash));
}
let pmt = PartialMerkleTree::with_leaves(leaf_nodes).map_err(|_| {
DeserializationError::InvalidValue("Invalid data for PartialMerkleTree creation".into())
})?;
Ok(pmt)
}
}

View File

@@ -1,9 +1,9 @@
use super::{ use super::{
super::{ super::{
digests_to_words, int_to_node, DefaultMerkleStore as MerkleStore, MerkleTree, NodeIndex, digests_to_words, int_to_node, BTreeMap, DefaultMerkleStore as MerkleStore, MerkleTree,
PartialMerkleTree, NodeIndex, PartialMerkleTree,
}, },
RpoDigest, ValuePath, Vec, Deserializable, InnerNodeInfo, RpoDigest, Serializable, ValuePath, Vec,
}; };
// TEST DATA // TEST DATA
@@ -13,6 +13,7 @@ const NODE10: NodeIndex = NodeIndex::new_unchecked(1, 0);
const NODE11: NodeIndex = NodeIndex::new_unchecked(1, 1); const NODE11: NodeIndex = NodeIndex::new_unchecked(1, 1);
const NODE20: NodeIndex = NodeIndex::new_unchecked(2, 0); const NODE20: NodeIndex = NodeIndex::new_unchecked(2, 0);
const NODE21: NodeIndex = NodeIndex::new_unchecked(2, 1);
const NODE22: NodeIndex = NodeIndex::new_unchecked(2, 2); const NODE22: NodeIndex = NodeIndex::new_unchecked(2, 2);
const NODE23: NodeIndex = NodeIndex::new_unchecked(2, 3); const NODE23: NodeIndex = NodeIndex::new_unchecked(2, 3);
@@ -50,6 +51,43 @@ const VALUES8: [RpoDigest; 8] = [
// NodeIndex(3, 5) will be labeled as `35`. Leaves of the tree are shown as nodes with parenthesis // NodeIndex(3, 5) will be labeled as `35`. Leaves of the tree are shown as nodes with parenthesis
// (33). // (33).
/// Checks that creation of the PMT with `with_leaves()` constructor is working correctly.
#[test]
fn with_leaves() {
let mt = MerkleTree::new(digests_to_words(&VALUES8)).unwrap();
let expected_root = mt.root();
let leaf_nodes_vec = vec![
(NODE20, mt.get_node(NODE20).unwrap()),
(NODE32, mt.get_node(NODE32).unwrap()),
(NODE33, mt.get_node(NODE33).unwrap()),
(NODE22, mt.get_node(NODE22).unwrap()),
(NODE23, mt.get_node(NODE23).unwrap()),
];
let leaf_nodes: BTreeMap<NodeIndex, RpoDigest> = leaf_nodes_vec.into_iter().collect();
let pmt = PartialMerkleTree::with_leaves(leaf_nodes).unwrap();
assert_eq!(expected_root, pmt.root())
}
/// Checks that `with_leaves()` function returns an error when using incomplete set of nodes.
#[test]
fn err_with_leaves() {
// NODE22 is missing
let leaf_nodes_vec = vec![
(NODE20, int_to_node(20)),
(NODE32, int_to_node(32)),
(NODE33, int_to_node(33)),
(NODE23, int_to_node(23)),
];
let leaf_nodes: BTreeMap<NodeIndex, RpoDigest> = leaf_nodes_vec.into_iter().collect();
assert!(PartialMerkleTree::with_leaves(leaf_nodes).is_err());
}
/// Checks that root returned by `root()` function is equal to the expected one. /// Checks that root returned by `root()` function is equal to the expected one.
#[test] #[test]
fn get_root() { fn get_root() {
@@ -61,7 +99,7 @@ fn get_root() {
let pmt = PartialMerkleTree::with_paths([(3, path33.value, path33.path)]).unwrap(); let pmt = PartialMerkleTree::with_paths([(3, path33.value, path33.path)]).unwrap();
assert_eq!(pmt.root(), expected_root); assert_eq!(expected_root, pmt.root());
} }
/// This test checks correctness of the `add_path()` and `get_path()` functions. First it creates a /// This test checks correctness of the `add_path()` and `get_path()` functions. First it creates a
@@ -121,7 +159,7 @@ fn update_leaf() {
let new_value32 = int_to_node(132); let new_value32 = int_to_node(132);
let expected_root = ms.set_node(root, NODE32, new_value32).unwrap().root; let expected_root = ms.set_node(root, NODE32, new_value32).unwrap().root;
pmt.update_leaf(NODE32, new_value32).unwrap(); pmt.update_leaf(2, *new_value32).unwrap();
let actual_root = pmt.root(); let actual_root = pmt.root();
assert_eq!(expected_root, actual_root); assert_eq!(expected_root, actual_root);
@@ -129,7 +167,15 @@ fn update_leaf() {
let new_value20 = int_to_node(120); let new_value20 = int_to_node(120);
let expected_root = ms.set_node(expected_root, NODE20, new_value20).unwrap().root; let expected_root = ms.set_node(expected_root, NODE20, new_value20).unwrap().root;
pmt.update_leaf(NODE20, new_value20).unwrap(); pmt.update_leaf(0, *new_value20).unwrap();
let actual_root = pmt.root();
assert_eq!(expected_root, actual_root);
let new_value11 = int_to_node(111);
let expected_root = ms.set_node(expected_root, NODE11, new_value11).unwrap().root;
pmt.update_leaf(6, *new_value11).unwrap();
let actual_root = pmt.root(); let actual_root = pmt.root();
assert_eq!(expected_root, actual_root); assert_eq!(expected_root, actual_root);
@@ -177,7 +223,7 @@ fn get_paths() {
}) })
.collect(); .collect();
let actual_paths = pmt.paths(); let actual_paths = pmt.to_paths();
assert_eq!(expected_paths, actual_paths); assert_eq!(expected_paths, actual_paths);
} }
@@ -247,6 +293,113 @@ fn leaves() {
assert!(expected_leaves.eq(pmt.leaves())); assert!(expected_leaves.eq(pmt.leaves()));
} }
/// Checks that nodes of the PMT returned by `inner_nodes()` function are equal to the expected ones.
#[test]
fn test_inner_node_iterator() {
let mt = MerkleTree::new(digests_to_words(&VALUES8)).unwrap();
let expected_root = mt.root();
let ms = MerkleStore::from(&mt);
let path33 = ms.get_path(expected_root, NODE33).unwrap();
let path22 = ms.get_path(expected_root, NODE22).unwrap();
let mut pmt = PartialMerkleTree::with_paths([(3, path33.value, path33.path)]).unwrap();
// get actual inner nodes
let actual: Vec<InnerNodeInfo> = pmt.inner_nodes().collect();
let expected_n00 = mt.root();
let expected_n10 = mt.get_node(NODE10).unwrap();
let expected_n11 = mt.get_node(NODE11).unwrap();
let expected_n20 = mt.get_node(NODE20).unwrap();
let expected_n21 = mt.get_node(NODE21).unwrap();
let expected_n32 = mt.get_node(NODE32).unwrap();
let expected_n33 = mt.get_node(NODE33).unwrap();
// create vector of the expected inner nodes
let mut expected = vec![
InnerNodeInfo {
value: expected_n00,
left: expected_n10,
right: expected_n11,
},
InnerNodeInfo {
value: expected_n10,
left: expected_n20,
right: expected_n21,
},
InnerNodeInfo {
value: expected_n21,
left: expected_n32,
right: expected_n33,
},
];
assert_eq!(actual, expected);
// add another path to the Partial Merkle Tree
pmt.add_path(2, path22.value, path22.path).unwrap();
// get new actual inner nodes
let actual: Vec<InnerNodeInfo> = pmt.inner_nodes().collect();
let expected_n22 = mt.get_node(NODE22).unwrap();
let expected_n23 = mt.get_node(NODE23).unwrap();
let info_11 = InnerNodeInfo {
value: expected_n11,
left: expected_n22,
right: expected_n23,
};
// add new inner node to the existing vertor
expected.insert(2, info_11);
assert_eq!(actual, expected);
}
/// Checks that serialization and deserialization implementations for the PMT are working
/// correctly.
#[test]
fn serialization() {
let mt = MerkleTree::new(digests_to_words(&VALUES8)).unwrap();
let expected_root = mt.root();
let ms = MerkleStore::from(&mt);
let path33 = ms.get_path(expected_root, NODE33).unwrap();
let path22 = ms.get_path(expected_root, NODE22).unwrap();
let pmt = PartialMerkleTree::with_paths([
(3, path33.value, path33.path),
(2, path22.value, path22.path),
])
.unwrap();
let serialized_pmt = pmt.to_bytes();
let deserialized_pmt = PartialMerkleTree::read_from_bytes(&serialized_pmt).unwrap();
assert_eq!(deserialized_pmt, pmt);
}
/// Checks that deserialization fails with incorrect data.
#[test]
fn err_deserialization() {
let mut tree_bytes: Vec<u8> = vec![5];
tree_bytes.append(&mut NODE20.to_bytes());
tree_bytes.append(&mut int_to_node(20).to_bytes());
tree_bytes.append(&mut NODE21.to_bytes());
tree_bytes.append(&mut int_to_node(21).to_bytes());
// node with depth 1 could have index 0 or 1, but it has 2
tree_bytes.append(&mut vec![1, 2]);
tree_bytes.append(&mut int_to_node(11).to_bytes());
assert!(PartialMerkleTree::read_from_bytes(&tree_bytes).is_err());
}
/// Checks that addition of the path with different root will cause an error. /// Checks that addition of the path with different root will cause an error.
#[test] #[test]
fn err_add_path() { fn err_add_path() {
@@ -306,8 +459,5 @@ fn err_update_leaf() {
let mut pmt = PartialMerkleTree::with_paths([(3, path33.value, path33.path)]).unwrap(); let mut pmt = PartialMerkleTree::with_paths([(3, path33.value, path33.path)]).unwrap();
assert!(pmt.update_leaf(NODE22, int_to_node(22)).is_err()); assert!(pmt.update_leaf(8, *int_to_node(38)).is_err());
assert!(pmt.update_leaf(NODE23, int_to_node(23)).is_err());
assert!(pmt.update_leaf(NODE30, int_to_node(30)).is_err());
assert!(pmt.update_leaf(NODE31, int_to_node(31)).is_err());
} }

View File

@@ -1,11 +1,13 @@
use super::{vec, InnerNodeInfo, MerkleError, NodeIndex, Rpo256, RpoDigest, Vec}; use super::{vec, InnerNodeInfo, MerkleError, NodeIndex, Rpo256, RpoDigest, Vec};
use core::ops::{Deref, DerefMut}; use core::ops::{Deref, DerefMut};
use winter_utils::{ByteReader, Deserializable, DeserializationError, Serializable};
// MERKLE PATH // MERKLE PATH
// ================================================================================================ // ================================================================================================
/// A merkle path container, composed of a sequence of nodes of a Merkle tree. /// A merkle path container, composed of a sequence of nodes of a Merkle tree.
#[derive(Clone, Debug, Default, PartialEq, Eq)] #[derive(Clone, Debug, Default, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct MerklePath { pub struct MerklePath {
nodes: Vec<RpoDigest>, nodes: Vec<RpoDigest>,
} }
@@ -16,6 +18,7 @@ impl MerklePath {
/// Creates a new Merkle path from a list of nodes. /// Creates a new Merkle path from a list of nodes.
pub fn new(nodes: Vec<RpoDigest>) -> Self { pub fn new(nodes: Vec<RpoDigest>) -> Self {
assert!(nodes.len() <= u8::MAX.into(), "MerklePath may have at most 256 items");
Self { nodes } Self { nodes }
} }
@@ -27,6 +30,11 @@ impl MerklePath {
self.nodes.len() as u8 self.nodes.len() as u8
} }
/// Returns a reference to the [MerklePath]'s nodes.
pub fn nodes(&self) -> &[RpoDigest] {
&self.nodes
}
/// Computes the merkle root for this opening. /// Computes the merkle root for this opening.
pub fn compute_root(&self, index: u64, node: RpoDigest) -> Result<RpoDigest, MerkleError> { pub fn compute_root(&self, index: u64, node: RpoDigest) -> Result<RpoDigest, MerkleError> {
let mut index = NodeIndex::new(self.depth(), index)?; let mut index = NodeIndex::new(self.depth(), index)?;
@@ -68,6 +76,9 @@ impl MerklePath {
} }
} }
// CONVERSIONS
// ================================================================================================
impl From<MerklePath> for Vec<RpoDigest> { impl From<MerklePath> for Vec<RpoDigest> {
fn from(path: MerklePath) -> Self { fn from(path: MerklePath) -> Self {
path.nodes path.nodes
@@ -80,6 +91,12 @@ impl From<Vec<RpoDigest>> for MerklePath {
} }
} }
impl From<&[RpoDigest]> for MerklePath {
fn from(path: &[RpoDigest]) -> Self {
Self::new(path.to_vec())
}
}
impl Deref for MerklePath { impl Deref for MerklePath {
// we use `Vec` here instead of slice so we can call vector mutation methods directly from the // we use `Vec` here instead of slice so we can call vector mutation methods directly from the
// merkle path (example: `Vec::remove`). // merkle path (example: `Vec::remove`).
@@ -136,11 +153,7 @@ impl<'a> Iterator for InnerNodeIterator<'a> {
self.value = Rpo256::merge(&[left, right]); self.value = Rpo256::merge(&[left, right]);
self.index.move_up(); self.index.move_up();
Some(InnerNodeInfo { Some(InnerNodeInfo { value: self.value, left, right })
value: self.value,
left,
right,
})
} else { } else {
None None
} }
@@ -159,6 +172,13 @@ pub struct ValuePath {
pub path: MerklePath, pub path: MerklePath,
} }
impl ValuePath {
/// Returns a new [ValuePath] instantiated from the specified value and path.
pub fn new(value: RpoDigest, path: Vec<RpoDigest>) -> Self {
Self { value, path: MerklePath::new(path) }
}
}
/// A container for a [MerklePath] and its [Word] root. /// A container for a [MerklePath] and its [Word] root.
/// ///
/// This structure does not provide any guarantees regarding the correctness of the path to the /// This structure does not provide any guarantees regarding the correctness of the path to the
@@ -171,6 +191,55 @@ pub struct RootPath {
pub path: MerklePath, pub path: MerklePath,
} }
// SERIALIZATION
// ================================================================================================
impl Serializable for MerklePath {
fn write_into<W: winter_utils::ByteWriter>(&self, target: &mut W) {
assert!(self.nodes.len() <= u8::MAX.into(), "Length enforced in the constructor");
target.write_u8(self.nodes.len() as u8);
self.nodes.write_into(target);
}
}
impl Deserializable for MerklePath {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let count = source.read_u8()?.into();
let nodes = RpoDigest::read_batch_from(source, count)?;
Ok(Self { nodes })
}
}
impl Serializable for ValuePath {
fn write_into<W: winter_utils::ByteWriter>(&self, target: &mut W) {
self.value.write_into(target);
self.path.write_into(target);
}
}
impl Deserializable for ValuePath {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let value = RpoDigest::read_from(source)?;
let path = MerklePath::read_from(source)?;
Ok(Self { value, path })
}
}
impl Serializable for RootPath {
fn write_into<W: winter_utils::ByteWriter>(&self, target: &mut W) {
self.root.write_into(target);
self.path.write_into(target);
}
}
impl Deserializable for RootPath {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let root = RpoDigest::read_from(source)?;
let path = MerklePath::read_from(source)?;
Ok(Self { root, path })
}
}
// TESTS // TESTS
// ================================================================================================ // ================================================================================================

View File

@@ -1,408 +0,0 @@
use super::{BTreeMap, MerkleError, MerklePath, NodeIndex, Rpo256, ValuePath, Vec};
use crate::{hash::rpo::RpoDigest, Word};
// MERKLE PATH SET
// ================================================================================================
/// A set of Merkle paths.
#[derive(Debug, Clone, PartialEq, Eq)]
pub struct MerklePathSet {
root: RpoDigest,
total_depth: u8,
paths: BTreeMap<u64, MerklePath>,
}
impl MerklePathSet {
// CONSTRUCTOR
// --------------------------------------------------------------------------------------------
/// Returns an empty MerklePathSet.
pub fn new(depth: u8) -> Self {
let root = RpoDigest::default();
let paths = BTreeMap::new();
Self {
root,
total_depth: depth,
paths,
}
}
/// Appends the provided paths iterator into the set.
///
/// Analogous to `[Self::add_path]`.
pub fn with_paths<I>(self, paths: I) -> Result<Self, MerkleError>
where
I: IntoIterator<Item = (u64, RpoDigest, MerklePath)>,
{
paths.into_iter().try_fold(self, |mut set, (index, value, path)| {
set.add_path(index, value.into(), path)?;
Ok(set)
})
}
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns the root to which all paths in this set resolve.
pub const fn root(&self) -> RpoDigest {
self.root
}
/// Returns the depth of the Merkle tree implied by the paths stored in this set.
///
/// Merkle tree of depth 1 has two leaves, depth 2 has four leaves etc.
pub const fn depth(&self) -> u8 {
self.total_depth
}
/// Returns a node at the specified index.
///
/// # Errors
/// Returns an error if:
/// * The specified index is not valid for the depth of structure.
/// * Requested node does not exist in the set.
pub fn get_node(&self, index: NodeIndex) -> Result<RpoDigest, MerkleError> {
if index.depth() != self.total_depth {
return Err(MerkleError::InvalidDepth {
expected: self.total_depth,
provided: index.depth(),
});
}
let parity = index.value() & 1;
let path_key = index.value() - parity;
self.paths
.get(&path_key)
.ok_or(MerkleError::NodeNotInSet(index))
.map(|path| path[parity as usize])
}
/// Returns a leaf at the specified index.
///
/// # Errors
/// * The specified index is not valid for the depth of the structure.
/// * Leaf with the requested path does not exist in the set.
pub fn get_leaf(&self, index: u64) -> Result<Word, MerkleError> {
let index = NodeIndex::new(self.depth(), index)?;
Ok(self.get_node(index)?.into())
}
/// Returns a Merkle path to the node at the specified index. The node itself is
/// not included in the path.
///
/// # Errors
/// Returns an error if:
/// * The specified index is not valid for the depth of structure.
/// * Node of the requested path does not exist in the set.
pub fn get_path(&self, index: NodeIndex) -> Result<MerklePath, MerkleError> {
if index.depth() != self.total_depth {
return Err(MerkleError::InvalidDepth {
expected: self.total_depth,
provided: index.depth(),
});
}
let parity = index.value() & 1;
let path_key = index.value() - parity;
let mut path =
self.paths.get(&path_key).cloned().ok_or(MerkleError::NodeNotInSet(index))?;
path.remove(parity as usize);
Ok(path)
}
/// Returns all paths in this path set together with their indexes.
pub fn to_paths(&self) -> Vec<(u64, ValuePath)> {
let mut result = Vec::with_capacity(self.paths.len() * 2);
for (&index, path) in self.paths.iter() {
// push path for the even index into the result
let path1 = ValuePath {
value: path[0],
path: MerklePath::new(path[1..].to_vec()),
};
result.push((index, path1));
// push path for the odd index into the result
let mut path2 = path.clone();
let leaf2 = path2.remove(1);
let path2 = ValuePath {
value: leaf2,
path: path2,
};
result.push((index + 1, path2));
}
result
}
// STATE MUTATORS
// --------------------------------------------------------------------------------------------
/// Adds the specified Merkle path to this [MerklePathSet]. The `index` and `value` parameters
/// specify the leaf node at which the path starts.
///
/// # Errors
/// Returns an error if:
/// - The specified index is is not valid in the context of this Merkle path set (i.e., the
/// index implies a greater depth than is specified for this set).
/// - The specified path is not consistent with other paths in the set (i.e., resolves to a
/// different root).
pub fn add_path(
&mut self,
index_value: u64,
value: Word,
mut path: MerklePath,
) -> Result<(), MerkleError> {
let mut index = NodeIndex::new(path.len() as u8, index_value)?;
if index.depth() != self.total_depth {
return Err(MerkleError::InvalidDepth {
expected: self.total_depth,
provided: index.depth(),
});
}
// update the current path
let parity = index_value & 1;
path.insert(parity as usize, value.into());
// traverse to the root, updating the nodes
let root = Rpo256::merge(&[path[0], path[1]]);
let root = path.iter().skip(2).copied().fold(root, |root, hash| {
index.move_up();
Rpo256::merge(&index.build_node(root, hash))
});
// if the path set is empty (the root is all ZEROs), set the root to the root of the added
// path; otherwise, the root of the added path must be identical to the current root
if self.root == RpoDigest::default() {
self.root = root;
} else if self.root != root {
return Err(MerkleError::ConflictingRoots([self.root, root].to_vec()));
}
// finish updating the path
let path_key = index_value - parity;
self.paths.insert(path_key, path);
Ok(())
}
/// Replaces the leaf at the specified index with the provided value.
///
/// # Errors
/// Returns an error if:
/// * Requested node does not exist in the set.
pub fn update_leaf(&mut self, base_index_value: u64, value: Word) -> Result<(), MerkleError> {
let mut index = NodeIndex::new(self.depth(), base_index_value)?;
let parity = index.value() & 1;
let path_key = index.value() - parity;
let path = match self.paths.get_mut(&path_key) {
Some(path) => path,
None => return Err(MerkleError::NodeNotInSet(index)),
};
// Fill old_hashes vector -----------------------------------------------------------------
let mut current_index = index;
let mut old_hashes = Vec::with_capacity(path.len().saturating_sub(2));
let mut root = Rpo256::merge(&[path[0], path[1]]);
for hash in path.iter().skip(2).copied() {
old_hashes.push(root);
current_index.move_up();
let input = current_index.build_node(hash, root);
root = Rpo256::merge(&input);
}
// Fill new_hashes vector -----------------------------------------------------------------
path[index.is_value_odd() as usize] = value.into();
let mut new_hashes = Vec::with_capacity(path.len().saturating_sub(2));
let mut new_root = Rpo256::merge(&[path[0], path[1]]);
for path_hash in path.iter().skip(2).copied() {
new_hashes.push(new_root);
index.move_up();
let input = current_index.build_node(path_hash, new_root);
new_root = Rpo256::merge(&input);
}
self.root = new_root;
// update paths ---------------------------------------------------------------------------
for path in self.paths.values_mut() {
for i in (0..old_hashes.len()).rev() {
if path[i + 2] == old_hashes[i] {
path[i + 2] = new_hashes[i];
break;
}
}
}
Ok(())
}
}
// TESTS
// ================================================================================================
#[cfg(test)]
mod tests {
use super::*;
use crate::merkle::{int_to_leaf, int_to_node};
#[test]
fn get_root() {
let leaf0 = int_to_node(0);
let leaf1 = int_to_node(1);
let leaf2 = int_to_node(2);
let leaf3 = int_to_node(3);
let parent0 = calculate_parent_hash(leaf0, 0, leaf1);
let parent1 = calculate_parent_hash(leaf2, 2, leaf3);
let root_exp = calculate_parent_hash(parent0, 0, parent1);
let set = super::MerklePathSet::new(2)
.with_paths([(0, leaf0, vec![leaf1, parent1].into())])
.unwrap();
assert_eq!(set.root(), root_exp);
}
#[test]
fn add_and_get_path() {
let path_6 = vec![int_to_node(7), int_to_node(45), int_to_node(123)];
let hash_6 = int_to_node(6);
let index = 6_u64;
let depth = 3_u8;
let set = super::MerklePathSet::new(depth)
.with_paths([(index, hash_6, path_6.clone().into())])
.unwrap();
let stored_path_6 = set.get_path(NodeIndex::make(depth, index)).unwrap();
assert_eq!(path_6, *stored_path_6);
}
#[test]
fn get_node() {
let path_6 = vec![int_to_node(7), int_to_node(45), int_to_node(123)];
let hash_6 = int_to_node(6);
let index = 6_u64;
let depth = 3_u8;
let set = MerklePathSet::new(depth).with_paths([(index, hash_6, path_6.into())]).unwrap();
assert_eq!(int_to_node(6u64), set.get_node(NodeIndex::make(depth, index)).unwrap());
}
#[test]
fn update_leaf() {
let hash_4 = int_to_node(4);
let hash_5 = int_to_node(5);
let hash_6 = int_to_node(6);
let hash_7 = int_to_node(7);
let hash_45 = calculate_parent_hash(hash_4, 12u64, hash_5);
let hash_67 = calculate_parent_hash(hash_6, 14u64, hash_7);
let hash_0123 = int_to_node(123);
let path_6 = vec![hash_7, hash_45, hash_0123];
let path_5 = vec![hash_4, hash_67, hash_0123];
let path_4 = vec![hash_5, hash_67, hash_0123];
let index_6 = 6_u64;
let index_5 = 5_u64;
let index_4 = 4_u64;
let depth = 3_u8;
let mut set = MerklePathSet::new(depth)
.with_paths([
(index_6, hash_6, path_6.into()),
(index_5, hash_5, path_5.into()),
(index_4, hash_4, path_4.into()),
])
.unwrap();
let new_hash_6 = int_to_leaf(100);
let new_hash_5 = int_to_leaf(55);
set.update_leaf(index_6, new_hash_6).unwrap();
let new_path_4 = set.get_path(NodeIndex::make(depth, index_4)).unwrap();
let new_hash_67 = calculate_parent_hash(new_hash_6.into(), 14_u64, hash_7);
assert_eq!(new_hash_67, new_path_4[1]);
set.update_leaf(index_5, new_hash_5).unwrap();
let new_path_4 = set.get_path(NodeIndex::make(depth, index_4)).unwrap();
let new_path_6 = set.get_path(NodeIndex::make(depth, index_6)).unwrap();
let new_hash_45 = calculate_parent_hash(new_hash_5.into(), 13_u64, hash_4);
assert_eq!(new_hash_45, new_path_6[1]);
assert_eq!(RpoDigest::from(new_hash_5), new_path_4[0]);
}
#[test]
fn depth_3_is_correct() {
let a = int_to_node(1);
let b = int_to_node(2);
let c = int_to_node(3);
let d = int_to_node(4);
let e = int_to_node(5);
let f = int_to_node(6);
let g = int_to_node(7);
let h = int_to_node(8);
let i = Rpo256::merge(&[a, b]);
let j = Rpo256::merge(&[c, d]);
let k = Rpo256::merge(&[e, f]);
let l = Rpo256::merge(&[g, h]);
let m = Rpo256::merge(&[i, j]);
let n = Rpo256::merge(&[k, l]);
let root = Rpo256::merge(&[m, n]);
let mut set = MerklePathSet::new(3);
let value = b;
let index = 1;
let path = MerklePath::new([a, j, n].to_vec());
set.add_path(index, value.into(), path).unwrap();
assert_eq!(*value, set.get_leaf(index).unwrap());
assert_eq!(root, set.root());
let value = e;
let index = 4;
let path = MerklePath::new([f, l, m].to_vec());
set.add_path(index, value.into(), path).unwrap();
assert_eq!(*value, set.get_leaf(index).unwrap());
assert_eq!(root, set.root());
let value = a;
let index = 0;
let path = MerklePath::new([b, j, n].to_vec());
set.add_path(index, value.into(), path).unwrap();
assert_eq!(*value, set.get_leaf(index).unwrap());
assert_eq!(root, set.root());
let value = h;
let index = 7;
let path = MerklePath::new([g, k, m].to_vec());
set.add_path(index, value.into(), path).unwrap();
assert_eq!(*value, set.get_leaf(index).unwrap());
assert_eq!(root, set.root());
}
// HELPER FUNCTIONS
// --------------------------------------------------------------------------------------------
const fn is_even(pos: u64) -> bool {
pos & 1 == 0
}
/// Calculates the hash of the parent node by two sibling ones
/// - node — current node
/// - node_pos — position of the current node
/// - sibling — neighboring vertex in the tree
fn calculate_parent_hash(node: RpoDigest, node_pos: u64, sibling: RpoDigest) -> RpoDigest {
if is_even(node_pos) {
Rpo256::merge(&[node, sibling])
} else {
Rpo256::merge(&[sibling, node])
}
}
}

View File

@@ -1,6 +1,6 @@
use super::{ use super::{
BTreeMap, BTreeSet, EmptySubtreeRoots, InnerNodeInfo, MerkleError, MerklePath, NodeIndex, BTreeMap, BTreeSet, EmptySubtreeRoots, InnerNodeInfo, MerkleError, MerklePath, MerkleTreeDelta,
Rpo256, RpoDigest, Vec, Word, NodeIndex, Rpo256, RpoDigest, StoreNode, TryApplyDiff, Vec, Word,
}; };
#[cfg(test)] #[cfg(test)]
@@ -13,12 +13,12 @@ mod tests;
/// ///
/// The root of the tree is recomputed on each new leaf update. /// The root of the tree is recomputed on each new leaf update.
#[derive(Debug, Clone, PartialEq, Eq)] #[derive(Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct SimpleSmt { pub struct SimpleSmt {
depth: u8, depth: u8,
root: RpoDigest, root: RpoDigest,
leaves: BTreeMap<u64, Word>, leaves: BTreeMap<u64, Word>,
branches: BTreeMap<NodeIndex, BranchNode>, branches: BTreeMap<NodeIndex, BranchNode>,
empty_hashes: Vec<RpoDigest>,
} }
impl SimpleSmt { impl SimpleSmt {
@@ -32,7 +32,7 @@ impl SimpleSmt {
pub const MAX_DEPTH: u8 = 64; pub const MAX_DEPTH: u8 = 64;
/// Value of an empty leaf. /// Value of an empty leaf.
pub const EMPTY_VALUE: Word = super::empty_roots::EMPTY_WORD; pub const EMPTY_VALUE: Word = super::EMPTY_WORD;
// CONSTRUCTORS // CONSTRUCTORS
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
@@ -51,13 +51,11 @@ impl SimpleSmt {
return Err(MerkleError::DepthTooBig(depth as u64)); return Err(MerkleError::DepthTooBig(depth as u64));
} }
let empty_hashes = EmptySubtreeRoots::empty_hashes(depth).to_vec(); let root = *EmptySubtreeRoots::entry(depth, 0);
let root = empty_hashes[0];
Ok(Self { Ok(Self {
root, root,
depth, depth,
empty_hashes,
leaves: BTreeMap::new(), leaves: BTreeMap::new(),
branches: BTreeMap::new(), branches: BTreeMap::new(),
}) })
@@ -73,39 +71,54 @@ impl SimpleSmt {
/// - If the depth is 0 or is greater than 64. /// - If the depth is 0 or is greater than 64.
/// - The number of entries exceeds the maximum tree capacity, that is 2^{depth}. /// - The number of entries exceeds the maximum tree capacity, that is 2^{depth}.
/// - The provided entries contain multiple values for the same key. /// - The provided entries contain multiple values for the same key.
pub fn with_leaves<R, I>(depth: u8, entries: R) -> Result<Self, MerkleError> pub fn with_leaves(
where depth: u8,
R: IntoIterator<IntoIter = I>, entries: impl IntoIterator<Item = (u64, Word)>,
I: Iterator<Item = (u64, Word)> + ExactSizeIterator, ) -> Result<Self, MerkleError> {
{
// create an empty tree // create an empty tree
let mut tree = Self::new(depth)?; let mut tree = Self::new(depth)?;
// check if the number of leaves can be accommodated by the tree's depth; we use a min // compute the max number of entries. We use an upper bound of depth 63 because we consider
// depth of 63 because we consider passing in a vector of size 2^64 infeasible. // passing in a vector of size 2^64 infeasible.
let entries = entries.into_iter(); let max_num_entries = 2_usize.pow(tree.depth.min(63).into());
let max = 1 << tree.depth.min(63);
if entries.len() > max { // This being a sparse data structure, the EMPTY_WORD is not assigned to the `BTreeMap`, so
return Err(MerkleError::InvalidNumEntries(max, entries.len())); // entries with the empty value need additional tracking.
} let mut key_set_to_zero = BTreeSet::new();
for (idx, (key, value)) in entries.into_iter().enumerate() {
if idx >= max_num_entries {
return Err(MerkleError::InvalidNumEntries(max_num_entries));
}
// append leaves to the tree returning an error if a duplicate entry for the same key
// is found
let mut empty_entries = BTreeSet::new();
for (key, value) in entries {
let old_value = tree.update_leaf(key, value)?; let old_value = tree.update_leaf(key, value)?;
if old_value != Self::EMPTY_VALUE || empty_entries.contains(&key) {
return Err(MerkleError::DuplicateValuesForIndex(key)); if old_value != Self::EMPTY_VALUE || key_set_to_zero.contains(&key) {
}
// if we've processed an empty entry, add the key to the set of empty entry keys, and
// if this key was already in the set, return an error
if value == Self::EMPTY_VALUE && !empty_entries.insert(key) {
return Err(MerkleError::DuplicateValuesForIndex(key)); return Err(MerkleError::DuplicateValuesForIndex(key));
} }
if value == Self::EMPTY_VALUE {
key_set_to_zero.insert(key);
};
} }
Ok(tree) Ok(tree)
} }
/// Wrapper around [`SimpleSmt::with_leaves`] which inserts leaves at contiguous indices
/// starting at index 0.
pub fn with_contiguous_leaves(
depth: u8,
entries: impl IntoIterator<Item = Word>,
) -> Result<Self, MerkleError> {
Self::with_leaves(
depth,
entries
.into_iter()
.enumerate()
.map(|(idx, word)| (idx.try_into().expect("tree max depth is 2^8"), word)),
)
}
// PUBLIC ACCESSORS // PUBLIC ACCESSORS
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
@@ -132,10 +145,12 @@ impl SimpleSmt {
} else if index.depth() == self.depth() { } else if index.depth() == self.depth() {
// the lookup in empty_hashes could fail only if empty_hashes were not built correctly // the lookup in empty_hashes could fail only if empty_hashes were not built correctly
// by the constructor as we check the depth of the lookup above. // by the constructor as we check the depth of the lookup above.
Ok(RpoDigest::from( let leaf_pos = index.value();
self.get_leaf_node(index.value()) let leaf = match self.get_leaf_node(leaf_pos) {
.unwrap_or_else(|| *self.empty_hashes[index.depth() as usize]), Some(word) => word.into(),
)) None => *EmptySubtreeRoots::entry(self.depth, index.depth()),
};
Ok(leaf)
} else { } else {
Ok(self.get_branch_node(&index).parent()) Ok(self.get_branch_node(&index).parent())
} }
@@ -213,6 +228,9 @@ impl SimpleSmt {
/// # Errors /// # Errors
/// Returns an error if the index is greater than the maximum tree capacity, that is 2^{depth}. /// Returns an error if the index is greater than the maximum tree capacity, that is 2^{depth}.
pub fn update_leaf(&mut self, index: u64, value: Word) -> Result<Word, MerkleError> { pub fn update_leaf(&mut self, index: u64, value: Word) -> Result<Word, MerkleError> {
// validate the index before modifying the structure
let idx = NodeIndex::new(self.depth(), index)?;
let old_value = self.insert_leaf_node(index, value).unwrap_or(Self::EMPTY_VALUE); let old_value = self.insert_leaf_node(index, value).unwrap_or(Self::EMPTY_VALUE);
// if the old value and new value are the same, there is nothing to update // if the old value and new value are the same, there is nothing to update
@@ -220,8 +238,82 @@ impl SimpleSmt {
return Ok(value); return Ok(value);
} }
let mut index = NodeIndex::new(self.depth(), index)?; self.recompute_nodes_from_index_to_root(idx, RpoDigest::from(value));
let mut value = RpoDigest::from(value);
Ok(old_value)
}
/// Inserts a subtree at the specified index. The depth at which the subtree is inserted is
/// computed as `self.depth() - subtree.depth()`.
///
/// Returns the new root.
pub fn set_subtree(
&mut self,
subtree_insertion_index: u64,
subtree: SimpleSmt,
) -> Result<RpoDigest, MerkleError> {
if subtree.depth() > self.depth() {
return Err(MerkleError::InvalidSubtreeDepth {
subtree_depth: subtree.depth(),
tree_depth: self.depth(),
});
}
// Verify that `subtree_insertion_index` is valid.
let subtree_root_insertion_depth = self.depth() - subtree.depth();
let subtree_root_index =
NodeIndex::new(subtree_root_insertion_depth, subtree_insertion_index)?;
// add leaves
// --------------
// The subtree's leaf indices live in their own context - i.e. a subtree of depth `d`. If we
// insert the subtree at `subtree_insertion_index = 0`, then the subtree leaf indices are
// valid as they are. However, consider what happens when we insert at
// `subtree_insertion_index = 1`. The first leaf of our subtree now will have index `2^d`;
// you can see it as there's a full subtree sitting on its left. In general, for
// `subtree_insertion_index = i`, there are `i` subtrees sitting before the subtree we want
// to insert, so we need to adjust all its leaves by `i * 2^d`.
let leaf_index_shift: u64 = subtree_insertion_index * 2_u64.pow(subtree.depth().into());
for (subtree_leaf_idx, leaf_value) in subtree.leaves() {
let new_leaf_idx = leaf_index_shift + subtree_leaf_idx;
debug_assert!(new_leaf_idx < 2_u64.pow(self.depth().into()));
self.insert_leaf_node(new_leaf_idx, *leaf_value);
}
// add subtree's branch nodes (which includes the root)
// --------------
for (branch_idx, branch_node) in subtree.branches {
let new_branch_idx = {
let new_depth = subtree_root_insertion_depth + branch_idx.depth();
let new_value = subtree_insertion_index * 2_u64.pow(branch_idx.depth().into())
+ branch_idx.value();
NodeIndex::new(new_depth, new_value).expect("index guaranteed to be valid")
};
self.branches.insert(new_branch_idx, branch_node);
}
// recompute nodes starting from subtree root
// --------------
self.recompute_nodes_from_index_to_root(subtree_root_index, subtree.root);
Ok(self.root)
}
// HELPER METHODS
// --------------------------------------------------------------------------------------------
/// Recomputes the branch nodes (including the root) from `index` all the way to the root.
/// `node_hash_at_index` is the hash of the node stored at index.
fn recompute_nodes_from_index_to_root(
&mut self,
mut index: NodeIndex,
node_hash_at_index: RpoDigest,
) {
let mut value = node_hash_at_index;
for _ in 0..index.depth() { for _ in 0..index.depth() {
let is_right = index.is_value_odd(); let is_right = index.is_value_odd();
index.move_up(); index.move_up();
@@ -231,12 +323,8 @@ impl SimpleSmt {
value = Rpo256::merge(&[left, right]); value = Rpo256::merge(&[left, right]);
} }
self.root = value; self.root = value;
Ok(old_value)
} }
// HELPER METHODS
// --------------------------------------------------------------------------------------------
fn get_leaf_node(&self, key: u64) -> Option<Word> { fn get_leaf_node(&self, key: u64) -> Option<Word> {
self.leaves.get(&key).copied() self.leaves.get(&key).copied()
} }
@@ -247,11 +335,8 @@ impl SimpleSmt {
fn get_branch_node(&self, index: &NodeIndex) -> BranchNode { fn get_branch_node(&self, index: &NodeIndex) -> BranchNode {
self.branches.get(index).cloned().unwrap_or_else(|| { self.branches.get(index).cloned().unwrap_or_else(|| {
let node = self.empty_hashes[index.depth() as usize + 1]; let node = EmptySubtreeRoots::entry(self.depth, index.depth() + 1);
BranchNode { BranchNode { left: *node, right: *node }
left: node,
right: node,
}
}) })
} }
@@ -265,6 +350,7 @@ impl SimpleSmt {
// ================================================================================================ // ================================================================================================
#[derive(Debug, Default, Clone, PartialEq, Eq)] #[derive(Debug, Default, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
struct BranchNode { struct BranchNode {
left: RpoDigest, left: RpoDigest,
right: RpoDigest, right: RpoDigest,
@@ -275,3 +361,29 @@ impl BranchNode {
Rpo256::merge(&[self.left, self.right]) Rpo256::merge(&[self.left, self.right])
} }
} }
// TRY APPLY DIFF
// ================================================================================================
impl TryApplyDiff<RpoDigest, StoreNode> for SimpleSmt {
type Error = MerkleError;
type DiffType = MerkleTreeDelta;
fn try_apply(&mut self, diff: MerkleTreeDelta) -> Result<(), MerkleError> {
if diff.depth() != self.depth() {
return Err(MerkleError::InvalidDepth {
expected: self.depth(),
provided: diff.depth(),
});
}
for slot in diff.cleared_slots() {
self.update_leaf(*slot, Self::EMPTY_VALUE)?;
}
for (slot, value) in diff.updated_slots() {
self.update_leaf(*slot, *value)?;
}
Ok(())
}
}

View File

@@ -1,9 +1,9 @@
use super::{ use super::{
super::{InnerNodeInfo, MerkleError, MerkleTree, RpoDigest, SimpleSmt}, super::{InnerNodeInfo, MerkleError, MerkleTree, RpoDigest, SimpleSmt, EMPTY_WORD},
NodeIndex, Rpo256, Vec, NodeIndex, Rpo256, Vec,
}; };
use crate::{ use crate::{
merkle::{digests_to_words, empty_roots::EMPTY_WORD, int_to_leaf, int_to_node}, merkle::{digests_to_words, int_to_leaf, int_to_node, EmptySubtreeRoots},
Word, Word,
}; };
@@ -71,6 +71,21 @@ fn build_sparse_tree() {
assert_eq!(old_value, EMPTY_WORD); assert_eq!(old_value, EMPTY_WORD);
} }
/// Tests that [`SimpleSmt::with_contiguous_leaves`] works as expected
#[test]
fn build_contiguous_tree() {
let tree_with_leaves = SimpleSmt::with_leaves(
2,
[0, 1, 2, 3].into_iter().zip(digests_to_words(&VALUES4).into_iter()),
)
.unwrap();
let tree_with_contiguous_leaves =
SimpleSmt::with_contiguous_leaves(2, digests_to_words(&VALUES4).into_iter()).unwrap();
assert_eq!(tree_with_leaves, tree_with_contiguous_leaves);
}
#[test] #[test]
fn test_depth2_tree() { fn test_depth2_tree() {
let tree = let tree =
@@ -123,21 +138,9 @@ fn test_inner_node_iterator() -> Result<(), MerkleError> {
let nodes: Vec<InnerNodeInfo> = tree.inner_nodes().collect(); let nodes: Vec<InnerNodeInfo> = tree.inner_nodes().collect();
let expected = vec![ let expected = vec![
InnerNodeInfo { InnerNodeInfo { value: root, left: l1n0, right: l1n1 },
value: root, InnerNodeInfo { value: l1n0, left: l2n0, right: l2n1 },
left: l1n0, InnerNodeInfo { value: l1n1, left: l2n2, right: l2n3 },
right: l1n1,
},
InnerNodeInfo {
value: l1n0,
left: l2n0,
right: l2n1,
},
InnerNodeInfo {
value: l1n1,
left: l2n2,
right: l2n3,
},
]; ];
assert_eq!(nodes, expected); assert_eq!(nodes, expected);
@@ -226,22 +229,31 @@ fn small_tree_opening_is_consistent() {
} }
#[test] #[test]
fn fail_on_duplicates() { fn test_simplesmt_fail_on_duplicates() {
let entries = [(1_u64, int_to_leaf(1)), (5, int_to_leaf(2)), (1_u64, int_to_leaf(3))]; let values = [
let smt = SimpleSmt::with_leaves(64, entries); // same key, same value
assert!(smt.is_err()); (int_to_leaf(1), int_to_leaf(1)),
// same key, different values
(int_to_leaf(1), int_to_leaf(2)),
// same key, set to zero
(EMPTY_WORD, int_to_leaf(1)),
// same key, re-set to zero
(int_to_leaf(1), EMPTY_WORD),
// same key, set to zero twice
(EMPTY_WORD, EMPTY_WORD),
];
let entries = [(1_u64, int_to_leaf(0)), (5, int_to_leaf(2)), (1_u64, int_to_leaf(0))]; for (first, second) in values.iter() {
let smt = SimpleSmt::with_leaves(64, entries); // consecutive
assert!(smt.is_err()); let entries = [(1, *first), (1, *second)];
let smt = SimpleSmt::with_leaves(64, entries);
assert_eq!(smt.unwrap_err(), MerkleError::DuplicateValuesForIndex(1));
let entries = [(1_u64, int_to_leaf(0)), (5, int_to_leaf(2)), (1_u64, int_to_leaf(1))]; // not consecutive
let smt = SimpleSmt::with_leaves(64, entries); let entries = [(1, *first), (5, int_to_leaf(5)), (1, *second)];
assert!(smt.is_err()); let smt = SimpleSmt::with_leaves(64, entries);
assert_eq!(smt.unwrap_err(), MerkleError::DuplicateValuesForIndex(1));
let entries = [(1_u64, int_to_leaf(1)), (5, int_to_leaf(2)), (1_u64, int_to_leaf(0))]; }
let smt = SimpleSmt::with_leaves(64, entries);
assert!(smt.is_err());
} }
#[test] #[test]
@@ -251,6 +263,227 @@ fn with_no_duplicates_empty_node() {
assert!(smt.is_ok()); assert!(smt.is_ok());
} }
#[test]
fn test_simplesmt_update_nonexisting_leaf_with_zero() {
// TESTING WITH EMPTY WORD
// --------------------------------------------------------------------------------------------
// Depth 1 has 2 leaf. Position is 0-indexed, position 2 doesn't exist.
let mut smt = SimpleSmt::new(1).unwrap();
let result = smt.update_leaf(2, EMPTY_WORD);
assert!(!smt.leaves.contains_key(&2));
assert!(result.is_err());
// Depth 2 has 4 leaves. Position is 0-indexed, position 4 doesn't exist.
let mut smt = SimpleSmt::new(2).unwrap();
let result = smt.update_leaf(4, EMPTY_WORD);
assert!(!smt.leaves.contains_key(&4));
assert!(result.is_err());
// Depth 3 has 8 leaves. Position is 0-indexed, position 8 doesn't exist.
let mut smt = SimpleSmt::new(3).unwrap();
let result = smt.update_leaf(8, EMPTY_WORD);
assert!(!smt.leaves.contains_key(&8));
assert!(result.is_err());
// TESTING WITH A VALUE
// --------------------------------------------------------------------------------------------
let value = int_to_node(1);
// Depth 1 has 2 leaves. Position is 0-indexed, position 1 doesn't exist.
let mut smt = SimpleSmt::new(1).unwrap();
let result = smt.update_leaf(2, *value);
assert!(!smt.leaves.contains_key(&2));
assert!(result.is_err());
// Depth 2 has 4 leaves. Position is 0-indexed, position 2 doesn't exist.
let mut smt = SimpleSmt::new(2).unwrap();
let result = smt.update_leaf(4, *value);
assert!(!smt.leaves.contains_key(&4));
assert!(result.is_err());
// Depth 3 has 8 leaves. Position is 0-indexed, position 4 doesn't exist.
let mut smt = SimpleSmt::new(3).unwrap();
let result = smt.update_leaf(8, *value);
assert!(!smt.leaves.contains_key(&8));
assert!(result.is_err());
}
#[test]
fn test_simplesmt_with_leaves_nonexisting_leaf() {
// TESTING WITH EMPTY WORD
// --------------------------------------------------------------------------------------------
// Depth 1 has 2 leaf. Position is 0-indexed, position 2 doesn't exist.
let leaves = [(2, EMPTY_WORD)];
let result = SimpleSmt::with_leaves(1, leaves);
assert!(result.is_err());
// Depth 2 has 4 leaves. Position is 0-indexed, position 4 doesn't exist.
let leaves = [(4, EMPTY_WORD)];
let result = SimpleSmt::with_leaves(2, leaves);
assert!(result.is_err());
// Depth 3 has 8 leaves. Position is 0-indexed, position 8 doesn't exist.
let leaves = [(8, EMPTY_WORD)];
let result = SimpleSmt::with_leaves(3, leaves);
assert!(result.is_err());
// TESTING WITH A VALUE
// --------------------------------------------------------------------------------------------
let value = int_to_node(1);
// Depth 1 has 2 leaves. Position is 0-indexed, position 2 doesn't exist.
let leaves = [(2, *value)];
let result = SimpleSmt::with_leaves(1, leaves);
assert!(result.is_err());
// Depth 2 has 4 leaves. Position is 0-indexed, position 4 doesn't exist.
let leaves = [(4, *value)];
let result = SimpleSmt::with_leaves(2, leaves);
assert!(result.is_err());
// Depth 3 has 8 leaves. Position is 0-indexed, position 8 doesn't exist.
let leaves = [(8, *value)];
let result = SimpleSmt::with_leaves(3, leaves);
assert!(result.is_err());
}
#[test]
fn test_simplesmt_set_subtree() {
// Final Tree:
//
// ____k____
// / \
// _i_ _j_
// / \ / \
// e f g h
// / \ / \ / \ / \
// a b 0 0 c 0 0 d
let z = EMPTY_WORD;
let a = Word::from(Rpo256::merge(&[z.into(); 2]));
let b = Word::from(Rpo256::merge(&[a.into(); 2]));
let c = Word::from(Rpo256::merge(&[b.into(); 2]));
let d = Word::from(Rpo256::merge(&[c.into(); 2]));
let e = Rpo256::merge(&[a.into(), b.into()]);
let f = Rpo256::merge(&[z.into(), z.into()]);
let g = Rpo256::merge(&[c.into(), z.into()]);
let h = Rpo256::merge(&[z.into(), d.into()]);
let i = Rpo256::merge(&[e, f]);
let j = Rpo256::merge(&[g, h]);
let k = Rpo256::merge(&[i, j]);
// subtree:
// g
// / \
// c 0
let subtree = {
let depth = 1;
let entries = vec![(0, c)];
SimpleSmt::with_leaves(depth, entries).unwrap()
};
// insert subtree
let tree = {
let depth = 3;
let entries = vec![(0, a), (1, b), (7, d)];
let mut tree = SimpleSmt::with_leaves(depth, entries).unwrap();
tree.set_subtree(2, subtree).unwrap();
tree
};
assert_eq!(tree.root(), k);
assert_eq!(tree.get_leaf(4).unwrap(), c);
assert_eq!(tree.get_branch_node(&NodeIndex::new_unchecked(2, 2)).parent(), g);
}
/// Ensures that an invalid input node index into `set_subtree()` incurs no mutation of the tree
#[test]
fn test_simplesmt_set_subtree_unchanged_for_wrong_index() {
// Final Tree:
//
// ____k____
// / \
// _i_ _j_
// / \ / \
// e f g h
// / \ / \ / \ / \
// a b 0 0 c 0 0 d
let z = EMPTY_WORD;
let a = Word::from(Rpo256::merge(&[z.into(); 2]));
let b = Word::from(Rpo256::merge(&[a.into(); 2]));
let c = Word::from(Rpo256::merge(&[b.into(); 2]));
let d = Word::from(Rpo256::merge(&[c.into(); 2]));
// subtree:
// g
// / \
// c 0
let subtree = {
let depth = 1;
let entries = vec![(0, c)];
SimpleSmt::with_leaves(depth, entries).unwrap()
};
let mut tree = {
let depth = 3;
let entries = vec![(0, a), (1, b), (7, d)];
SimpleSmt::with_leaves(depth, entries).unwrap()
};
let tree_root_before_insertion = tree.root();
// insert subtree
assert!(tree.set_subtree(500, subtree).is_err());
assert_eq!(tree.root(), tree_root_before_insertion);
}
/// We insert an empty subtree that has the same depth as the original tree
#[test]
fn test_simplesmt_set_subtree_entire_tree() {
// Initial Tree:
//
// ____k____
// / \
// _i_ _j_
// / \ / \
// e f g h
// / \ / \ / \ / \
// a b 0 0 c 0 0 d
let z = EMPTY_WORD;
let a = Word::from(Rpo256::merge(&[z.into(); 2]));
let b = Word::from(Rpo256::merge(&[a.into(); 2]));
let c = Word::from(Rpo256::merge(&[b.into(); 2]));
let d = Word::from(Rpo256::merge(&[c.into(); 2]));
let depth = 3;
// subtree: E3
let subtree = { SimpleSmt::with_leaves(depth, Vec::new()).unwrap() };
assert_eq!(subtree.root(), *EmptySubtreeRoots::entry(depth, 0));
// insert subtree
let mut tree = {
let entries = vec![(0, a), (1, b), (4, c), (7, d)];
SimpleSmt::with_leaves(depth, entries).unwrap()
};
tree.set_subtree(0, subtree).unwrap();
assert_eq!(tree.root(), *EmptySubtreeRoots::entry(depth, 0));
}
// HELPER FUNCTIONS // HELPER FUNCTIONS
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------

View File

@@ -1,7 +1,7 @@
use super::{ use super::{
mmr::Mmr, BTreeMap, EmptySubtreeRoots, InnerNodeInfo, KvMap, MerkleError, MerklePath, mmr::Mmr, BTreeMap, EmptySubtreeRoots, InnerNodeInfo, KvMap, MerkleError, MerklePath,
MerklePathSet, MerkleTree, NodeIndex, RecordingMap, RootPath, Rpo256, RpoDigest, SimpleSmt, MerkleStoreDelta, MerkleTree, NodeIndex, PartialMerkleTree, RecordingMap, RootPath, Rpo256,
TieredSmt, ValuePath, Vec, RpoDigest, SimpleSmt, TieredSmt, TryApplyDiff, ValuePath, Vec, EMPTY_WORD,
}; };
use crate::utils::{ByteReader, ByteWriter, Deserializable, DeserializationError, Serializable}; use crate::utils::{ByteReader, ByteWriter, Deserializable, DeserializationError, Serializable};
use core::borrow::Borrow; use core::borrow::Borrow;
@@ -19,6 +19,7 @@ pub type DefaultMerkleStore = MerkleStore<BTreeMap<RpoDigest, StoreNode>>;
pub type RecordingMerkleStore = MerkleStore<RecordingMap<RpoDigest, StoreNode>>; pub type RecordingMerkleStore = MerkleStore<RecordingMap<RpoDigest, StoreNode>>;
#[derive(Debug, Default, Copy, Clone, Eq, PartialEq)] #[derive(Debug, Default, Copy, Clone, Eq, PartialEq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct StoreNode { pub struct StoreNode {
left: RpoDigest, left: RpoDigest,
right: RpoDigest, right: RpoDigest,
@@ -87,6 +88,7 @@ pub struct StoreNode {
/// assert_eq!(store.num_internal_nodes() - 255, 10); /// assert_eq!(store.num_internal_nodes() - 255, 10);
/// ``` /// ```
#[derive(Debug, Clone, Eq, PartialEq)] #[derive(Debug, Clone, Eq, PartialEq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct MerkleStore<T: KvMap<RpoDigest, StoreNode> = BTreeMap<RpoDigest, StoreNode>> { pub struct MerkleStore<T: KvMap<RpoDigest, StoreNode> = BTreeMap<RpoDigest, StoreNode>> {
nodes: T, nodes: T,
} }
@@ -171,27 +173,24 @@ impl<T: KvMap<RpoDigest, StoreNode>> MerkleStore<T> {
// the path is computed from root to leaf, so it must be reversed // the path is computed from root to leaf, so it must be reversed
path.reverse(); path.reverse();
Ok(ValuePath { Ok(ValuePath::new(hash, path))
value: hash,
path: MerklePath::new(path),
})
} }
/// Reconstructs a path from the root until a leaf or empty node and returns its depth. // LEAF TRAVERSAL
// --------------------------------------------------------------------------------------------
/// Returns the depth of the first leaf or an empty node encountered while traversing the tree
/// from the specified root down according to the provided index.
/// ///
/// The `tree_depth` parameter defines up to which depth the tree will be traversed, starting /// The `tree_depth` parameter specifies the depth of the tree rooted at `root`. The
/// from `root`. The maximum value the argument accepts is [u64::BITS]. /// maximum value the argument accepts is [u64::BITS].
///
/// The traversed path from leaf to root will start at the least significant bit of `index`,
/// and will be executed for `tree_depth` bits.
/// ///
/// # Errors /// # Errors
/// Will return an error if: /// Will return an error if:
/// - The provided root is not found. /// - The provided root is not found.
/// - The path from the root continues to a depth greater than `tree_depth`. /// - The provided `tree_depth` is greater than 64.
/// - The provided `tree_depth` is greater than `64. /// - The provided `index` is not valid for a depth equivalent to `tree_depth`.
/// - The provided `index` is not valid for a depth equivalent to `tree_depth`. For more /// - No leaf or an empty node was found while traversing the tree down to `tree_depth`.
/// information, check [NodeIndex::new].
pub fn get_leaf_depth( pub fn get_leaf_depth(
&self, &self,
root: RpoDigest, root: RpoDigest,
@@ -204,13 +203,6 @@ impl<T: KvMap<RpoDigest, StoreNode>> MerkleStore<T> {
} }
NodeIndex::new(tree_depth, index)?; NodeIndex::new(tree_depth, index)?;
// it's not illegal to have a maximum depth of `0`; we should just return the root in that
// case. this check will simplify the implementation as we could overflow bits for depth
// `0`.
if tree_depth == 0 {
return Ok(0);
}
// check if the root exists, providing the proper error report if it doesn't // check if the root exists, providing the proper error report if it doesn't
let empty = EmptySubtreeRoots::empty_hashes(tree_depth); let empty = EmptySubtreeRoots::empty_hashes(tree_depth);
let mut hash = root; let mut hash = root;
@@ -222,7 +214,7 @@ impl<T: KvMap<RpoDigest, StoreNode>> MerkleStore<T> {
let mut path = (index << (64 - tree_depth)).reverse_bits(); let mut path = (index << (64 - tree_depth)).reverse_bits();
// iterate every depth and reconstruct the path from root to leaf // iterate every depth and reconstruct the path from root to leaf
for depth in 0..tree_depth { for depth in 0..=tree_depth {
// we short-circuit if an empty node has been found // we short-circuit if an empty node has been found
if hash == empty[depth as usize] { if hash == empty[depth as usize] {
return Ok(depth); return Ok(depth);
@@ -239,13 +231,77 @@ impl<T: KvMap<RpoDigest, StoreNode>> MerkleStore<T> {
path >>= 1; path >>= 1;
} }
// at max depth assert it doesn't have sub-trees // return an error because we exhausted the index but didn't find either a leaf or an
if self.nodes.contains_key(&hash) { // empty node
return Err(MerkleError::DepthTooBig(tree_depth as u64 + 1)); Err(MerkleError::DepthTooBig(tree_depth as u64 + 1))
}
/// Returns index and value of a leaf node which is the only leaf node in a subtree defined by
/// the provided root. If the subtree contains zero or more than one leaf nodes None is
/// returned.
///
/// The `tree_depth` parameter specifies the depth of the parent tree such that `root` is
/// located in this tree at `root_index`. The maximum value the argument accepts is
/// [u64::BITS].
///
/// # Errors
/// Will return an error if:
/// - The provided root is not found.
/// - The provided `tree_depth` is greater than 64.
/// - The provided `root_index` has depth greater than `tree_depth`.
/// - A lone node at depth `tree_depth` is not a leaf node.
pub fn find_lone_leaf(
&self,
root: RpoDigest,
root_index: NodeIndex,
tree_depth: u8,
) -> Result<Option<(NodeIndex, RpoDigest)>, MerkleError> {
// we set max depth at u64::BITS as this is the largest meaningful value for a 64-bit index
const MAX_DEPTH: u8 = u64::BITS as u8;
if tree_depth > MAX_DEPTH {
return Err(MerkleError::DepthTooBig(tree_depth as u64));
}
let empty = EmptySubtreeRoots::empty_hashes(MAX_DEPTH);
let mut node = root;
if !self.nodes.contains_key(&node) {
return Err(MerkleError::RootNotInStore(node));
} }
// depleted bits; return max depth let mut index = root_index;
Ok(tree_depth) if index.depth() > tree_depth {
return Err(MerkleError::DepthTooBig(index.depth() as u64));
}
// traverse down following the path of single non-empty nodes; this works because if a
// node has two empty children it cannot contain a lone leaf. similarly if a node has
// two non-empty children it must contain at least two leaves.
for depth in index.depth()..tree_depth {
// if the node is a leaf, return; otherwise, examine the node's children
let children = match self.nodes.get(&node) {
Some(node) => node,
None => return Ok(Some((index, node))),
};
let empty_node = empty[depth as usize + 1];
node = if children.left != empty_node && children.right == empty_node {
index = index.left_child();
children.left
} else if children.left == empty_node && children.right != empty_node {
index = index.right_child();
children.right
} else {
return Ok(None);
};
}
// if we are here, we got to `tree_depth`; thus, either the current node is a leaf node,
// and so we return it, or it is an internal node, and then we return an error
if self.nodes.contains_key(&node) {
Err(MerkleError::DepthTooBig(tree_depth as u64 + 1))
} else {
Ok(Some((index, node)))
}
} }
// DATA EXTRACTORS // DATA EXTRACTORS
@@ -270,10 +326,49 @@ impl<T: KvMap<RpoDigest, StoreNode>> MerkleStore<T> {
/// Iterator over the inner nodes of the [MerkleStore]. /// Iterator over the inner nodes of the [MerkleStore].
pub fn inner_nodes(&self) -> impl Iterator<Item = InnerNodeInfo> + '_ { pub fn inner_nodes(&self) -> impl Iterator<Item = InnerNodeInfo> + '_ {
self.nodes.iter().map(|(r, n)| InnerNodeInfo { self.nodes
value: *r, .iter()
left: n.left, .map(|(r, n)| InnerNodeInfo { value: *r, left: n.left, right: n.right })
right: n.right, }
/// Iterator over the non-empty leaves of the Merkle tree associated with the specified `root`
/// and `max_depth`.
pub fn non_empty_leaves(
&self,
root: RpoDigest,
max_depth: u8,
) -> impl Iterator<Item = (NodeIndex, RpoDigest)> + '_ {
let empty_roots = EmptySubtreeRoots::empty_hashes(max_depth);
let mut stack = Vec::new();
stack.push((NodeIndex::new_unchecked(0, 0), root));
core::iter::from_fn(move || {
while let Some((index, node_hash)) = stack.pop() {
// if we are at the max depth then we have reached a leaf
if index.depth() == max_depth {
return Some((index, node_hash));
}
// fetch the nodes children and push them onto the stack if they are not the roots
// of empty subtrees
if let Some(node) = self.nodes.get(&node_hash) {
if !empty_roots.contains(&node.left) {
stack.push((index.left_child(), node.left));
}
if !empty_roots.contains(&node.right) {
stack.push((index.right_child(), node.right));
}
// if the node is not in the store assume it is a leaf
} else {
// assert that if we have a leaf that is not at the max depth then it must be
// at the depth of one of the tiers of an TSMT.
debug_assert!(TieredSmt::TIER_DEPTHS[..3].contains(&index.depth()));
return Some((index, node_hash));
}
}
None
}) })
} }
@@ -320,20 +415,6 @@ impl<T: KvMap<RpoDigest, StoreNode>> MerkleStore<T> {
Ok(()) Ok(())
} }
/// Appends the provided [MerklePathSet] into the store.
///
/// For further reference, check [MerkleStore::add_merkle_path].
pub fn add_merkle_path_set(
&mut self,
path_set: &MerklePathSet,
) -> Result<RpoDigest, MerkleError> {
let root = path_set.root();
for (index, path) in path_set.to_paths() {
self.add_merkle_path(index, path.value, path.path)?;
}
Ok(root)
}
/// Sets a node to `value`. /// Sets a node to `value`.
/// ///
/// # Errors /// # Errors
@@ -367,13 +448,7 @@ impl<T: KvMap<RpoDigest, StoreNode>> MerkleStore<T> {
right_root: RpoDigest, right_root: RpoDigest,
) -> Result<RpoDigest, MerkleError> { ) -> Result<RpoDigest, MerkleError> {
let parent = Rpo256::merge(&[left_root, right_root]); let parent = Rpo256::merge(&[left_root, right_root]);
self.nodes.insert( self.nodes.insert(parent, StoreNode { left: left_root, right: right_root });
parent,
StoreNode {
left: left_root,
right: right_root,
},
);
Ok(parent) Ok(parent)
} }
@@ -436,41 +511,75 @@ impl<T: KvMap<RpoDigest, StoreNode>> From<&TieredSmt> for MerkleStore<T> {
} }
} }
impl<T: KvMap<RpoDigest, StoreNode>> From<&PartialMerkleTree> for MerkleStore<T> {
fn from(value: &PartialMerkleTree) -> Self {
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
Self { nodes }
}
}
impl<T: KvMap<RpoDigest, StoreNode>> From<T> for MerkleStore<T> { impl<T: KvMap<RpoDigest, StoreNode>> From<T> for MerkleStore<T> {
fn from(values: T) -> Self { fn from(values: T) -> Self {
let nodes = values.into_iter().chain(empty_hashes().into_iter()).collect(); let nodes = values.into_iter().chain(empty_hashes()).collect();
Self { nodes } Self { nodes }
} }
} }
impl<T: KvMap<RpoDigest, StoreNode>> FromIterator<InnerNodeInfo> for MerkleStore<T> { impl<T: KvMap<RpoDigest, StoreNode>> FromIterator<InnerNodeInfo> for MerkleStore<T> {
fn from_iter<I: IntoIterator<Item = InnerNodeInfo>>(iter: I) -> Self { fn from_iter<I: IntoIterator<Item = InnerNodeInfo>>(iter: I) -> Self {
let nodes = combine_nodes_with_empty_hashes(iter.into_iter()).collect(); let nodes = combine_nodes_with_empty_hashes(iter).collect();
Self { nodes } Self { nodes }
} }
} }
impl<T: KvMap<RpoDigest, StoreNode>> FromIterator<(RpoDigest, StoreNode)> for MerkleStore<T> { impl<T: KvMap<RpoDigest, StoreNode>> FromIterator<(RpoDigest, StoreNode)> for MerkleStore<T> {
fn from_iter<I: IntoIterator<Item = (RpoDigest, StoreNode)>>(iter: I) -> Self { fn from_iter<I: IntoIterator<Item = (RpoDigest, StoreNode)>>(iter: I) -> Self {
let nodes = iter.into_iter().chain(empty_hashes().into_iter()).collect(); let nodes = iter.into_iter().chain(empty_hashes()).collect();
Self { nodes } Self { nodes }
} }
} }
// ITERATORS // ITERATORS
// ================================================================================================ // ================================================================================================
impl<T: KvMap<RpoDigest, StoreNode>> Extend<InnerNodeInfo> for MerkleStore<T> { impl<T: KvMap<RpoDigest, StoreNode>> Extend<InnerNodeInfo> for MerkleStore<T> {
fn extend<I: IntoIterator<Item = InnerNodeInfo>>(&mut self, iter: I) { fn extend<I: IntoIterator<Item = InnerNodeInfo>>(&mut self, iter: I) {
self.nodes.extend(iter.into_iter().map(|info| { self.nodes.extend(
( iter.into_iter()
info.value, .map(|info| (info.value, StoreNode { left: info.left, right: info.right })),
StoreNode { );
left: info.left, }
right: info.right, }
},
) // DiffT & ApplyDiffT TRAIT IMPLEMENTATION
})); // ================================================================================================
impl<T: KvMap<RpoDigest, StoreNode>> TryApplyDiff<RpoDigest, StoreNode> for MerkleStore<T> {
type Error = MerkleError;
type DiffType = MerkleStoreDelta;
fn try_apply(&mut self, diff: Self::DiffType) -> Result<(), MerkleError> {
for (root, delta) in diff.0 {
let mut root = root;
for cleared_slot in delta.cleared_slots() {
root = self
.set_node(
root,
NodeIndex::new(delta.depth(), *cleared_slot)?,
EMPTY_WORD.into(),
)?
.root;
}
for (updated_slot, updated_value) in delta.updated_slots() {
root = self
.set_node(
root,
NodeIndex::new(delta.depth(), *updated_slot)?,
(*updated_value).into(),
)?
.root;
}
}
Ok(())
} }
} }
@@ -524,17 +633,12 @@ impl<T: KvMap<RpoDigest, StoreNode>> Deserializable for MerkleStore<T> {
/// Creates empty hashes for all the subtrees of a tree with a max depth of 255. /// Creates empty hashes for all the subtrees of a tree with a max depth of 255.
fn empty_hashes() -> impl IntoIterator<Item = (RpoDigest, StoreNode)> { fn empty_hashes() -> impl IntoIterator<Item = (RpoDigest, StoreNode)> {
let subtrees = EmptySubtreeRoots::empty_hashes(255); let subtrees = EmptySubtreeRoots::empty_hashes(255);
subtrees.iter().rev().copied().zip(subtrees.iter().rev().skip(1).copied()).map( subtrees
|(child, parent)| { .iter()
( .rev()
parent, .copied()
StoreNode { .zip(subtrees.iter().rev().skip(1).copied())
left: child, .map(|(child, parent)| (parent, StoreNode { left: child, right: child }))
right: child,
},
)
},
)
} }
/// Consumes an iterator of [InnerNodeInfo] and returns an iterator of `(value, node)` tuples /// Consumes an iterator of [InnerNodeInfo] and returns an iterator of `(value, node)` tuples
@@ -544,14 +648,6 @@ fn combine_nodes_with_empty_hashes(
) -> impl Iterator<Item = (RpoDigest, StoreNode)> { ) -> impl Iterator<Item = (RpoDigest, StoreNode)> {
nodes nodes
.into_iter() .into_iter()
.map(|info| { .map(|info| (info.value, StoreNode { left: info.left, right: info.right }))
( .chain(empty_hashes())
info.value,
StoreNode {
left: info.left,
right: info.right,
},
)
})
.chain(empty_hashes().into_iter())
} }

View File

@@ -1,10 +1,9 @@
use super::{ use super::{
DefaultMerkleStore as MerkleStore, EmptySubtreeRoots, MerkleError, MerklePath, NodeIndex, DefaultMerkleStore as MerkleStore, EmptySubtreeRoots, MerkleError, MerklePath, NodeIndex,
RecordingMerkleStore, RpoDigest, PartialMerkleTree, RecordingMerkleStore, Rpo256, RpoDigest,
}; };
use crate::{ use crate::{
hash::rpo::Rpo256, merkle::{digests_to_words, int_to_leaf, int_to_node, MerkleTree, SimpleSmt},
merkle::{digests_to_words, int_to_leaf, int_to_node, MerklePathSet, MerkleTree, SimpleSmt},
Felt, Word, ONE, WORD_SIZE, ZERO, Felt, Word, ONE, WORD_SIZE, ZERO,
}; };
@@ -378,97 +377,96 @@ fn test_add_merkle_paths() -> Result<(), MerkleError> {
let mut store = MerkleStore::default(); let mut store = MerkleStore::default();
store.add_merkle_paths(paths.clone()).expect("the valid paths must work"); store.add_merkle_paths(paths.clone()).expect("the valid paths must work");
let depth = 2; let pmt = PartialMerkleTree::with_paths(paths).unwrap();
let set = MerklePathSet::new(depth).with_paths(paths).unwrap();
// STORE LEAVES ARE CORRECT ============================================================== // STORE LEAVES ARE CORRECT ==============================================================
// checks the leaves in the store corresponds to the expected values // checks the leaves in the store corresponds to the expected values
assert_eq!( assert_eq!(
store.get_node(set.root(), NodeIndex::make(set.depth(), 0)), store.get_node(pmt.root(), NodeIndex::make(pmt.max_depth(), 0)),
Ok(VALUES4[0]), Ok(VALUES4[0]),
"node 0 must be in the set" "node 0 must be in the pmt"
); );
assert_eq!( assert_eq!(
store.get_node(set.root(), NodeIndex::make(set.depth(), 1)), store.get_node(pmt.root(), NodeIndex::make(pmt.max_depth(), 1)),
Ok(VALUES4[1]), Ok(VALUES4[1]),
"node 1 must be in the set" "node 1 must be in the pmt"
); );
assert_eq!( assert_eq!(
store.get_node(set.root(), NodeIndex::make(set.depth(), 2)), store.get_node(pmt.root(), NodeIndex::make(pmt.max_depth(), 2)),
Ok(VALUES4[2]), Ok(VALUES4[2]),
"node 2 must be in the set" "node 2 must be in the pmt"
); );
assert_eq!( assert_eq!(
store.get_node(set.root(), NodeIndex::make(set.depth(), 3)), store.get_node(pmt.root(), NodeIndex::make(pmt.max_depth(), 3)),
Ok(VALUES4[3]), Ok(VALUES4[3]),
"node 3 must be in the set" "node 3 must be in the pmt"
); );
// STORE LEAVES MATCH SET ================================================================ // STORE LEAVES MATCH PMT ================================================================
// sanity check the values returned by the store and the set // sanity check the values returned by the store and the pmt
assert_eq!( assert_eq!(
set.get_node(NodeIndex::make(set.depth(), 0)), pmt.get_node(NodeIndex::make(pmt.max_depth(), 0)),
store.get_node(set.root(), NodeIndex::make(set.depth(), 0)), store.get_node(pmt.root(), NodeIndex::make(pmt.max_depth(), 0)),
"node 0 must be the same for both SparseMerkleTree and MerkleStore" "node 0 must be the same for both PartialMerkleTree and MerkleStore"
); );
assert_eq!( assert_eq!(
set.get_node(NodeIndex::make(set.depth(), 1)), pmt.get_node(NodeIndex::make(pmt.max_depth(), 1)),
store.get_node(set.root(), NodeIndex::make(set.depth(), 1)), store.get_node(pmt.root(), NodeIndex::make(pmt.max_depth(), 1)),
"node 1 must be the same for both SparseMerkleTree and MerkleStore" "node 1 must be the same for both PartialMerkleTree and MerkleStore"
); );
assert_eq!( assert_eq!(
set.get_node(NodeIndex::make(set.depth(), 2)), pmt.get_node(NodeIndex::make(pmt.max_depth(), 2)),
store.get_node(set.root(), NodeIndex::make(set.depth(), 2)), store.get_node(pmt.root(), NodeIndex::make(pmt.max_depth(), 2)),
"node 2 must be the same for both SparseMerkleTree and MerkleStore" "node 2 must be the same for both PartialMerkleTree and MerkleStore"
); );
assert_eq!( assert_eq!(
set.get_node(NodeIndex::make(set.depth(), 3)), pmt.get_node(NodeIndex::make(pmt.max_depth(), 3)),
store.get_node(set.root(), NodeIndex::make(set.depth(), 3)), store.get_node(pmt.root(), NodeIndex::make(pmt.max_depth(), 3)),
"node 3 must be the same for both SparseMerkleTree and MerkleStore" "node 3 must be the same for both PartialMerkleTree and MerkleStore"
); );
// STORE MERKLE PATH MATCHS ============================================================== // STORE MERKLE PATH MATCHS ==============================================================
// assert the merkle path returned by the store is the same as the one in the set // assert the merkle path returned by the store is the same as the one in the pmt
let result = store.get_path(set.root(), NodeIndex::make(set.depth(), 0)).unwrap(); let result = store.get_path(pmt.root(), NodeIndex::make(pmt.max_depth(), 0)).unwrap();
assert_eq!( assert_eq!(
VALUES4[0], result.value, VALUES4[0], result.value,
"Value for merkle path at index 0 must match leaf value" "Value for merkle path at index 0 must match leaf value"
); );
assert_eq!( assert_eq!(
set.get_path(NodeIndex::make(set.depth(), 0)), pmt.get_path(NodeIndex::make(pmt.max_depth(), 0)),
Ok(result.path), Ok(result.path),
"merkle path for index 0 must be the same for the MerkleTree and MerkleStore" "merkle path for index 0 must be the same for the MerkleTree and MerkleStore"
); );
let result = store.get_path(set.root(), NodeIndex::make(set.depth(), 1)).unwrap(); let result = store.get_path(pmt.root(), NodeIndex::make(pmt.max_depth(), 1)).unwrap();
assert_eq!( assert_eq!(
VALUES4[1], result.value, VALUES4[1], result.value,
"Value for merkle path at index 0 must match leaf value" "Value for merkle path at index 0 must match leaf value"
); );
assert_eq!( assert_eq!(
set.get_path(NodeIndex::make(set.depth(), 1)), pmt.get_path(NodeIndex::make(pmt.max_depth(), 1)),
Ok(result.path), Ok(result.path),
"merkle path for index 1 must be the same for the MerkleTree and MerkleStore" "merkle path for index 1 must be the same for the MerkleTree and MerkleStore"
); );
let result = store.get_path(set.root(), NodeIndex::make(set.depth(), 2)).unwrap(); let result = store.get_path(pmt.root(), NodeIndex::make(pmt.max_depth(), 2)).unwrap();
assert_eq!( assert_eq!(
VALUES4[2], result.value, VALUES4[2], result.value,
"Value for merkle path at index 0 must match leaf value" "Value for merkle path at index 0 must match leaf value"
); );
assert_eq!( assert_eq!(
set.get_path(NodeIndex::make(set.depth(), 2)), pmt.get_path(NodeIndex::make(pmt.max_depth(), 2)),
Ok(result.path), Ok(result.path),
"merkle path for index 0 must be the same for the MerkleTree and MerkleStore" "merkle path for index 0 must be the same for the MerkleTree and MerkleStore"
); );
let result = store.get_path(set.root(), NodeIndex::make(set.depth(), 3)).unwrap(); let result = store.get_path(pmt.root(), NodeIndex::make(pmt.max_depth(), 3)).unwrap();
assert_eq!( assert_eq!(
VALUES4[3], result.value, VALUES4[3], result.value,
"Value for merkle path at index 0 must match leaf value" "Value for merkle path at index 0 must match leaf value"
); );
assert_eq!( assert_eq!(
set.get_path(NodeIndex::make(set.depth(), 3)), pmt.get_path(NodeIndex::make(pmt.max_depth(), 3)),
Ok(result.path), Ok(result.path),
"merkle path for index 0 must be the same for the MerkleTree and MerkleStore" "merkle path for index 0 must be the same for the MerkleTree and MerkleStore"
); );
@@ -479,7 +477,7 @@ fn test_add_merkle_paths() -> Result<(), MerkleError> {
#[test] #[test]
fn wont_open_to_different_depth_root() { fn wont_open_to_different_depth_root() {
let empty = EmptySubtreeRoots::empty_hashes(64); let empty = EmptySubtreeRoots::empty_hashes(64);
let a = [Felt::new(1); 4]; let a = [ONE; 4];
let b = [Felt::new(2); 4]; let b = [Felt::new(2); 4];
// Compute the root for a different depth. We cherry-pick this specific depth to prevent a // Compute the root for a different depth. We cherry-pick this specific depth to prevent a
@@ -502,7 +500,7 @@ fn wont_open_to_different_depth_root() {
#[test] #[test]
fn store_path_opens_from_leaf() { fn store_path_opens_from_leaf() {
let a = [Felt::new(1); 4]; let a = [ONE; 4];
let b = [Felt::new(2); 4]; let b = [Felt::new(2); 4];
let c = [Felt::new(3); 4]; let c = [Felt::new(3); 4];
let d = [Felt::new(4); 4]; let d = [Felt::new(4); 4];
@@ -585,16 +583,16 @@ fn test_constructors() -> Result<(), MerkleError> {
store2.add_merkle_path(1, VALUES4[1], mtree.get_path(NodeIndex::make(d, 1))?)?; store2.add_merkle_path(1, VALUES4[1], mtree.get_path(NodeIndex::make(d, 1))?)?;
store2.add_merkle_path(2, VALUES4[2], mtree.get_path(NodeIndex::make(d, 2))?)?; store2.add_merkle_path(2, VALUES4[2], mtree.get_path(NodeIndex::make(d, 2))?)?;
store2.add_merkle_path(3, VALUES4[3], mtree.get_path(NodeIndex::make(d, 3))?)?; store2.add_merkle_path(3, VALUES4[3], mtree.get_path(NodeIndex::make(d, 3))?)?;
let set = MerklePathSet::new(d).with_paths(paths).unwrap(); let pmt = PartialMerkleTree::with_paths(paths).unwrap();
for key in [0, 1, 2, 3] { for key in [0, 1, 2, 3] {
let index = NodeIndex::make(d, key); let index = NodeIndex::make(d, key);
let value_path1 = store1.get_path(set.root(), index)?; let value_path1 = store1.get_path(pmt.root(), index)?;
let value_path2 = store2.get_path(set.root(), index)?; let value_path2 = store2.get_path(pmt.root(), index)?;
assert_eq!(value_path1, value_path2); assert_eq!(value_path1, value_path2);
let index = NodeIndex::make(d, key); let index = NodeIndex::make(d, key);
assert_eq!(set.get_path(index)?, value_path1.path); assert_eq!(pmt.get_path(index)?, value_path1.path);
} }
Ok(()) Ok(())
@@ -638,6 +636,9 @@ fn node_path_should_be_truncated_by_midtier_insert() {
assert!(store.get_node(root, index).is_err()); assert!(store.get_node(root, index).is_err());
} }
// LEAF TRAVERSAL
// ================================================================================================
#[test] #[test]
fn get_leaf_depth_works_depth_64() { fn get_leaf_depth_works_depth_64() {
let mut store = MerkleStore::new(); let mut store = MerkleStore::new();
@@ -748,6 +749,67 @@ fn get_leaf_depth_works_with_depth_8() {
assert_eq!(Err(MerkleError::DepthTooBig(9)), store.get_leaf_depth(root, 8, a)); assert_eq!(Err(MerkleError::DepthTooBig(9)), store.get_leaf_depth(root, 8, a));
} }
#[test]
fn find_lone_leaf() {
let mut store = MerkleStore::new();
let empty = EmptySubtreeRoots::empty_hashes(64);
let mut root: RpoDigest = empty[0];
// insert a single leaf into the store at depth 64
let key_a = 0b01010101_10101010_00001111_01110100_00111011_10101101_00000100_01000001_u64;
let idx_a = NodeIndex::make(64, key_a);
let val_a = RpoDigest::from([ONE, ONE, ONE, ONE]);
root = store.set_node(root, idx_a, val_a).unwrap().root;
// for every ancestor of A, A should be a long leaf
for depth in 1..64 {
let parent_index = NodeIndex::make(depth, key_a >> (64 - depth));
let parent = store.get_node(root, parent_index).unwrap();
let res = store.find_lone_leaf(parent, parent_index, 64).unwrap();
assert_eq!(res, Some((idx_a, val_a)));
}
// insert another leaf into the store such that it has the same 8 bit prefix as A
let key_b = 0b01010101_01111010_00001111_01110100_00111011_10101101_00000100_01000001_u64;
let idx_b = NodeIndex::make(64, key_b);
let val_b = RpoDigest::from([ONE, ONE, ONE, ZERO]);
root = store.set_node(root, idx_b, val_b).unwrap().root;
// for any node which is common between A and B, find_lone_leaf() should return None as the
// node has two descendants
for depth in 1..9 {
let parent_index = NodeIndex::make(depth, key_a >> (64 - depth));
let parent = store.get_node(root, parent_index).unwrap();
let res = store.find_lone_leaf(parent, parent_index, 64).unwrap();
assert_eq!(res, None);
}
// for other ancestors of A and B, A and B should be lone leaves respectively
for depth in 9..64 {
let parent_index = NodeIndex::make(depth, key_a >> (64 - depth));
let parent = store.get_node(root, parent_index).unwrap();
let res = store.find_lone_leaf(parent, parent_index, 64).unwrap();
assert_eq!(res, Some((idx_a, val_a)));
}
for depth in 9..64 {
let parent_index = NodeIndex::make(depth, key_b >> (64 - depth));
let parent = store.get_node(root, parent_index).unwrap();
let res = store.find_lone_leaf(parent, parent_index, 64).unwrap();
assert_eq!(res, Some((idx_b, val_b)));
}
// for any other node, find_lone_leaf() should return None as they have no leaf nodes
let parent_index = NodeIndex::make(16, 0b01010101_11111111);
let parent = store.get_node(root, parent_index).unwrap();
let res = store.find_lone_leaf(parent, parent_index, 64).unwrap();
assert_eq!(res, None);
}
// SUBSET EXTRACTION // SUBSET EXTRACTION
// ================================================================================================ // ================================================================================================
@@ -778,7 +840,7 @@ fn mstore_subset() {
check_mstore_subtree(&substore, &subtree3); check_mstore_subtree(&substore, &subtree3);
// --- extract subtrees 1 and 3 ------------------------------------------- // --- extract subtrees 1 and 3 -------------------------------------------
// this should give the same result as above as subtree2 is nested withing subtree1 // this should give the same result as above as subtree2 is nested within subtree1
let substore = store.subset([subtree1.root(), subtree3.root()].iter()); let substore = store.subset([subtree1.root(), subtree3.root()].iter());
@@ -847,7 +909,7 @@ fn test_recorder() {
// construct the proof // construct the proof
let rec_map = recorder.into_inner(); let rec_map = recorder.into_inner();
let proof = rec_map.into_proof(); let (_, proof) = rec_map.finalize();
let merkle_store: MerkleStore = proof.into(); let merkle_store: MerkleStore = proof.into();
// make sure the proof contains all nodes from both trees // make sure the proof contains all nodes from both trees

View File

@@ -0,0 +1,48 @@
use core::fmt::Display;
#[derive(Debug, PartialEq, Eq)]
pub enum TieredSmtProofError {
EntriesEmpty,
EmptyValueNotAllowed,
MismatchedPrefixes(u64, u64),
MultipleEntriesOutsideLastTier,
NotATierPath(u8),
PathTooLong,
}
impl Display for TieredSmtProofError {
fn fmt(&self, f: &mut core::fmt::Formatter<'_>) -> core::fmt::Result {
match self {
TieredSmtProofError::EntriesEmpty => {
write!(f, "Missing entries for tiered sparse merkle tree proof")
}
TieredSmtProofError::EmptyValueNotAllowed => {
write!(
f,
"The empty value [0, 0, 0, 0] is not allowed inside a tiered sparse merkle tree"
)
}
TieredSmtProofError::MismatchedPrefixes(first, second) => {
write!(f, "Not all leaves have the same prefix. First {first} second {second}")
}
TieredSmtProofError::MultipleEntriesOutsideLastTier => {
write!(f, "Multiple entries are only allowed for the last tier (depth 64)")
}
TieredSmtProofError::NotATierPath(got) => {
write!(
f,
"Path length does not correspond to a tier. Got {got} Expected one of 16, 32, 48, 64"
)
}
TieredSmtProofError::PathTooLong => {
write!(
f,
"Path longer than maximum depth of 64 for tiered sparse merkle tree proof"
)
}
}
}
}
#[cfg(feature = "std")]
impl std::error::Error for TieredSmtProofError {}

View File

@@ -1,8 +1,21 @@
use super::{ use super::{
BTreeMap, BTreeSet, EmptySubtreeRoots, Felt, InnerNodeInfo, MerkleError, MerklePath, NodeIndex, BTreeMap, BTreeSet, EmptySubtreeRoots, InnerNodeInfo, MerkleError, MerklePath, NodeIndex,
Rpo256, RpoDigest, StarkField, Vec, Word, ZERO, Rpo256, RpoDigest, StarkField, Vec, Word,
}; };
use core::cmp; use crate::utils::vec;
use core::{cmp, ops::Deref};
mod nodes;
use nodes::NodeStore;
mod values;
use values::ValueStore;
mod proof;
pub use proof::TieredSmtProof;
mod error;
pub use error::TieredSmtProofError;
#[cfg(test)] #[cfg(test)]
mod tests; mod tests;
@@ -18,27 +31,23 @@ mod tests;
/// of depth 64 (i.e., leaves at depth 64 are set to [ZERO; 4]). As non-empty values are inserted /// of depth 64 (i.e., leaves at depth 64 are set to [ZERO; 4]). As non-empty values are inserted
/// into the tree they are added to the first available tier. /// into the tree they are added to the first available tier.
/// ///
/// For example, when the first key-value is inserted, it will be stored in a node at depth 16 /// For example, when the first key-value pair is inserted, it will be stored in a node at depth
/// such that the first 16 bits of the key determine the position of the node at depth 16. If /// 16 such that the 16 most significant bits of the key determine the position of the node at
/// another value with a key sharing the same 16-bit prefix is inserted, both values move into /// depth 16. If another value with a key sharing the same 16-bit prefix is inserted, both values
/// the next tier (depth 32). This process is repeated until values end up at tier 64. If multiple /// move into the next tier (depth 32). This process is repeated until values end up at the bottom
/// values have keys with a common 64-bit prefix, such key-value pairs are stored in a sorted list /// tier (depth 64). If multiple values have keys with a common 64-bit prefix, such key-value pairs
/// at the last tier (depth = 64). /// are stored in a sorted list at the bottom tier.
/// ///
/// To differentiate between internal and leaf nodes, node values are computed as follows: /// To differentiate between internal and leaf nodes, node values are computed as follows:
/// - Internal nodes: hash(left_child, right_child). /// - Internal nodes: hash(left_child, right_child).
/// - Leaf node at depths 16, 32, or 64: hash(rem_key, value, domain=depth). /// - Leaf node at depths 16, 32, or 64: hash(key, value, domain=depth).
/// - Leaf node at depth 64: hash([rem_key_0, value_0, ..., rem_key_n, value_n, domain=64]). /// - Leaf node at depth 64: hash([key_0, value_0, ..., key_n, value_n], domain=64).
///
/// Where rem_key is computed by replacing d most significant bits of the key with zeros where d
/// is depth (i.e., for a leaf at depth 16, we replace 16 most significant bits of the key with 0).
#[derive(Debug, Clone, PartialEq, Eq)] #[derive(Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct TieredSmt { pub struct TieredSmt {
root: RpoDigest, root: RpoDigest,
nodes: BTreeMap<NodeIndex, RpoDigest>, nodes: NodeStore,
upper_leaves: BTreeMap<NodeIndex, RpoDigest>, // node_index |-> key map values: ValueStore,
bottom_leaves: BTreeMap<u64, BottomLeaf>, // leaves of depth 64
values: BTreeMap<RpoDigest, Word>,
} }
impl TieredSmt { impl TieredSmt {
@@ -46,16 +55,16 @@ impl TieredSmt {
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
/// The number of levels between tiers. /// The number of levels between tiers.
const TIER_SIZE: u8 = 16; pub const TIER_SIZE: u8 = 16;
/// Depths at which leaves can exist in a tiered SMT. /// Depths at which leaves can exist in a tiered SMT.
const TIER_DEPTHS: [u8; 4] = [16, 32, 48, 64]; pub const TIER_DEPTHS: [u8; 4] = [16, 32, 48, 64];
/// Maximum node depth. This is also the bottom tier of the tree. /// Maximum node depth. This is also the bottom tier of the tree.
const MAX_DEPTH: u8 = 64; pub const MAX_DEPTH: u8 = 64;
/// Value of an empty leaf. /// Value of an empty leaf.
pub const EMPTY_VALUE: Word = super::empty_roots::EMPTY_WORD; pub const EMPTY_VALUE: Word = super::EMPTY_WORD;
// CONSTRUCTORS // CONSTRUCTORS
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
@@ -64,7 +73,7 @@ impl TieredSmt {
/// ///
/// # Errors /// # Errors
/// Returns an error if the provided entries contain multiple values for the same key. /// Returns an error if the provided entries contain multiple values for the same key.
pub fn with_leaves<R, I>(entries: R) -> Result<Self, MerkleError> pub fn with_entries<R, I>(entries: R) -> Result<Self, MerkleError>
where where
R: IntoIterator<IntoIter = I>, R: IntoIterator<IntoIter = I>,
I: Iterator<Item = (RpoDigest, Word)> + ExactSizeIterator, I: Iterator<Item = (RpoDigest, Word)> + ExactSizeIterator,
@@ -106,8 +115,7 @@ impl TieredSmt {
/// when a leaf node with the same index prefix exists at a tier higher than the requested /// when a leaf node with the same index prefix exists at a tier higher than the requested
/// node. /// node.
pub fn get_node(&self, index: NodeIndex) -> Result<RpoDigest, MerkleError> { pub fn get_node(&self, index: NodeIndex) -> Result<RpoDigest, MerkleError> {
self.validate_node_access(index)?; self.nodes.get_node(index)
Ok(self.get_node_unchecked(&index))
} }
/// Returns a Merkle path from the node at the specified index to the root. /// Returns a Merkle path from the node at the specified index to the root.
@@ -120,17 +128,8 @@ impl TieredSmt {
/// - The node with the specified index does not exists in the Merkle tree. This is possible /// - The node with the specified index does not exists in the Merkle tree. This is possible
/// when a leaf node with the same index prefix exists at a tier higher than the node to /// when a leaf node with the same index prefix exists at a tier higher than the node to
/// which the path is requested. /// which the path is requested.
pub fn get_path(&self, mut index: NodeIndex) -> Result<MerklePath, MerkleError> { pub fn get_path(&self, index: NodeIndex) -> Result<MerklePath, MerkleError> {
self.validate_node_access(index)?; self.nodes.get_path(index)
let mut path = Vec::with_capacity(index.depth() as usize);
for _ in 0..index.depth() {
let node = self.get_node_unchecked(&index.sibling());
path.push(node);
index.move_up();
}
Ok(path.into())
} }
/// Returns the value associated with the specified key. /// Returns the value associated with the specified key.
@@ -143,6 +142,30 @@ impl TieredSmt {
} }
} }
/// Returns a proof for a key-value pair defined by the specified key.
///
/// The proof can be used to attest membership of this key-value pair in a Tiered Sparse Merkle
/// Tree defined by the same root as this tree.
pub fn prove(&self, key: RpoDigest) -> TieredSmtProof {
let (path, index, leaf_exists) = self.nodes.get_proof(&key);
let entries = if index.depth() == Self::MAX_DEPTH {
match self.values.get_all(index.value()) {
Some(entries) => entries,
None => vec![(key, Self::EMPTY_VALUE)],
}
} else if leaf_exists {
let entry =
self.values.get_first(index_to_prefix(&index)).expect("leaf entry not found");
debug_assert_eq!(entry.0, key);
vec![*entry]
} else {
vec![(key, Self::EMPTY_VALUE)]
};
TieredSmtProof::new(path, entries).expect("Bug detected, TSMT produced invalid proof")
}
// STATE MUTATORS // STATE MUTATORS
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
@@ -151,238 +174,298 @@ impl TieredSmt {
/// ///
/// If the value for the specified key was not previously set, [ZERO; 4] is returned. /// If the value for the specified key was not previously set, [ZERO; 4] is returned.
pub fn insert(&mut self, key: RpoDigest, value: Word) -> Word { pub fn insert(&mut self, key: RpoDigest, value: Word) -> Word {
// insert the value into the key-value map, and if nothing has changed, return // if an empty value is being inserted, remove the leaf node to make it look as if the
let old_value = self.values.insert(key, value).unwrap_or(Self::EMPTY_VALUE); // value was never inserted
if old_value == value { if value == Self::EMPTY_VALUE {
return old_value; return self.remove_leaf_node(key);
} }
// determine the index for the value node; this index could have 3 different meanings: // insert the value into the value store, and if the key was already in the store, update
// - it points to a root of an empty subtree (excluding depth = 64); in this case, we can // it with the new value
// replace the node with the value node immediately. if let Some(old_value) = self.values.insert(key, value) {
// - it points to a node at the bottom tier (i.e., depth = 64); in this case, we need to if old_value != value {
// process bottom-tier insertion which will be handled by insert_node(). // if the new value is different from the old value, determine the location of
// - it points to a leaf node; this node could be a node with the same key or a different // the leaf node for this key, build the node, and update the root
// key with a common prefix; in the latter case, we'll need to move the leaf to a lower let (index, leaf_exists) = self.nodes.get_leaf_index(&key);
// tier; for this scenario the `leaf_key` will contain the key of the leaf node debug_assert!(leaf_exists);
let (mut index, leaf_key) = self.get_insert_location(&key); let node = self.build_leaf_node(index, key, value);
self.root = self.nodes.update_leaf_node(index, node);
// if the returned index points to a leaf, and this leaf is for a different key, we need
// to move the leaf to a lower tier
if let Some(other_key) = leaf_key {
if other_key != key {
// determine how far down the tree should we move the existing leaf
let common_prefix_len = get_common_prefix_tier(&key, &other_key);
let depth = cmp::min(common_prefix_len + Self::TIER_SIZE, Self::MAX_DEPTH);
// move the leaf to the new location; this requires first removing the existing
// index, re-computing node value, and inserting the node at a new location
let other_index = key_to_index(&other_key, depth);
let other_value = *self.values.get(&other_key).expect("no value for other key");
self.upper_leaves.remove(&index).expect("other node key not in map");
self.insert_node(other_index, other_key, other_value);
// the new leaf also needs to move down to the same tier
index = key_to_index(&key, depth);
} }
} return old_value;
};
// insert the node and return the old value // determine the location for the leaf node; this index could have 3 different meanings:
self.insert_node(index, key, value); // - it points to a root of an empty subtree or an empty node at depth 64; in this case,
old_value // we can replace the node with the value node immediately.
// - it points to an existing leaf at the bottom tier (i.e., depth = 64); in this case,
// we need to process update the bottom leaf.
// - it points to an existing leaf node for a different key with the same prefix (same
// key case was handled above); in this case, we need to move the leaf to a lower tier
let (index, leaf_exists) = self.nodes.get_leaf_index(&key);
self.root = if leaf_exists && index.depth() == Self::MAX_DEPTH {
// returned index points to a leaf at the bottom tier
let node = self.build_leaf_node(index, key, value);
self.nodes.update_leaf_node(index, node)
} else if leaf_exists {
// returned index points to a leaf for a different key with the same prefix
// get the key-value pair for the key with the same prefix; since the key-value
// pair has already been inserted into the value store, we need to filter it out
// when looking for the other key-value pair
let (other_key, other_value) = self
.values
.get_first_filtered(index_to_prefix(&index), &key)
.expect("other key-value pair not found");
// determine how far down the tree should we move the leaves
let common_prefix_len = get_common_prefix_tier_depth(&key, other_key);
let depth = cmp::min(common_prefix_len + Self::TIER_SIZE, Self::MAX_DEPTH);
// compute node locations for new and existing key-value paris
let new_index = LeafNodeIndex::from_key(&key, depth);
let other_index = LeafNodeIndex::from_key(other_key, depth);
// compute node values for the new and existing key-value pairs
let new_node = self.build_leaf_node(new_index, key, value);
let other_node = self.build_leaf_node(other_index, *other_key, *other_value);
// replace the leaf located at index with a subtree containing nodes for new and
// existing key-value paris
self.nodes.replace_leaf_with_subtree(
index,
[(new_index, new_node), (other_index, other_node)],
)
} else {
// returned index points to an empty subtree or an empty leaf at the bottom tier
let node = self.build_leaf_node(index, key, value);
self.nodes.insert_leaf_node(index, node)
};
Self::EMPTY_VALUE
} }
// ITERATORS // ITERATORS
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
/// Returns an iterator over all key-value pairs in this [TieredSmt].
pub fn iter(&self) -> impl Iterator<Item = &(RpoDigest, Word)> {
self.values.iter()
}
/// Returns an iterator over all inner nodes of this [TieredSmt] (i.e., nodes not at depths 16 /// Returns an iterator over all inner nodes of this [TieredSmt] (i.e., nodes not at depths 16
/// 32, 48, or 64). /// 32, 48, or 64).
/// ///
/// The iterator order is unspecified. /// The iterator order is unspecified.
pub fn inner_nodes(&self) -> impl Iterator<Item = InnerNodeInfo> + '_ { pub fn inner_nodes(&self) -> impl Iterator<Item = InnerNodeInfo> + '_ {
self.nodes.iter().filter_map(|(index, node)| { self.nodes.inner_nodes()
if is_inner_node(index) {
Some(InnerNodeInfo {
value: *node,
left: self.get_node_unchecked(&index.left_child()),
right: self.get_node_unchecked(&index.right_child()),
})
} else {
None
}
})
} }
/// Returns an iterator over upper leaves (i.e., depth = 16, 32, or 48) for this [TieredSmt]. /// Returns an iterator over upper leaves (i.e., depth = 16, 32, or 48) for this [TieredSmt]
/// /// where each yielded item is a (node, key, value) tuple.
/// Each yielded item is a (node, key, value) tuple where key is a full un-truncated key (i.e.,
/// with key[3] element unmodified).
/// ///
/// The iterator order is unspecified. /// The iterator order is unspecified.
pub fn upper_leaves(&self) -> impl Iterator<Item = (RpoDigest, RpoDigest, Word)> + '_ { pub fn upper_leaves(&self) -> impl Iterator<Item = (RpoDigest, RpoDigest, Word)> + '_ {
self.upper_leaves.iter().map(|(index, key)| { self.nodes.upper_leaves().map(|(index, node)| {
let node = self.get_node_unchecked(index); let key_prefix = index_to_prefix(index);
let value = self.get_value(*key); let (key, value) = self.values.get_first(key_prefix).expect("upper leaf not found");
(node, *key, value) debug_assert_eq!(*index, LeafNodeIndex::from_key(key, index.depth()).into());
(*node, *key, *value)
}) })
} }
/// Returns an iterator over upper leaves (i.e., depth = 16, 32, or 48) for this [TieredSmt]
/// where each yielded item is a (node_index, value) tuple.
pub fn upper_leaf_nodes(&self) -> impl Iterator<Item = (&NodeIndex, &RpoDigest)> {
self.nodes.upper_leaves()
}
/// Returns an iterator over bottom leaves (i.e., depth = 64) of this [TieredSmt]. /// Returns an iterator over bottom leaves (i.e., depth = 64) of this [TieredSmt].
/// ///
/// Each yielded item consists of the hash of the leaf and its contents, where contents is /// Each yielded item consists of the hash of the leaf and its contents, where contents is
/// a vector containing key-value pairs of entries storied in this leaf. Note that keys are /// a vector containing key-value pairs of entries storied in this leaf.
/// un-truncated keys (i.e., with key[3] element unmodified).
/// ///
/// The iterator order is unspecified. /// The iterator order is unspecified.
pub fn bottom_leaves(&self) -> impl Iterator<Item = (RpoDigest, Vec<(RpoDigest, Word)>)> + '_ { pub fn bottom_leaves(&self) -> impl Iterator<Item = (RpoDigest, Vec<(RpoDigest, Word)>)> + '_ {
self.bottom_leaves.values().map(|leaf| (leaf.hash(), leaf.contents())) self.nodes.bottom_leaves().map(|(&prefix, node)| {
let values = self.values.get_all(prefix).expect("bottom leaf not found");
(*node, values)
})
} }
// HELPER METHODS // HELPER METHODS
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
/// Checks if the specified index is valid in the context of this Merkle tree. /// Removes the node holding the key-value pair for the specified key from this tree, and
/// returns the value associated with the specified key.
/// ///
/// # Errors /// If no value was associated with the specified key, [ZERO; 4] is returned.
/// Returns an error if: fn remove_leaf_node(&mut self, key: RpoDigest) -> Word {
/// - The specified index depth is 0 or greater than 64. // remove the key-value pair from the value store; if no value was associated with the
/// - The node for the specified index does not exists in the Merkle tree. This is possible // specified key, return.
/// when an ancestors of the specified index is a leaf node. let old_value = match self.values.remove(&key) {
fn validate_node_access(&self, index: NodeIndex) -> Result<(), MerkleError> { Some(old_value) => old_value,
if index.is_root() { None => return Self::EMPTY_VALUE,
return Err(MerkleError::DepthTooSmall(index.depth())); };
} else if index.depth() > Self::MAX_DEPTH {
return Err(MerkleError::DepthTooBig(index.depth() as u64)); // determine the location of the leaf holding the key-value pair to be removed
} else { let (index, leaf_exists) = self.nodes.get_leaf_index(&key);
// make sure that there are no leaf nodes in the ancestors of the index; since leaf debug_assert!(leaf_exists);
// nodes can live at specific depth, we just need to check these depths.
let tier = get_index_tier(&index); // if the leaf is at the bottom tier and after removing the key-value pair from it, the
let mut tier_index = index; // leaf is still not empty, we either just update it, or move it up to a higher tier (if
for &depth in Self::TIER_DEPTHS[..tier].iter().rev() { // the leaf doesn't have siblings at lower tiers)
tier_index.move_up_to(depth); if index.depth() == Self::MAX_DEPTH {
if self.upper_leaves.contains_key(&tier_index) { if let Some(entries) = self.values.get_all(index.value()) {
return Err(MerkleError::NodeNotInSet(index)); // if there is only one key-value pair left at the bottom leaf, and it can be
// moved up to a higher tier, truncate the branch and return
if entries.len() == 1 {
let new_depth = self.nodes.get_last_single_child_parent_depth(index.value());
if new_depth != Self::MAX_DEPTH {
let node = hash_upper_leaf(entries[0].0, entries[0].1, new_depth);
self.root = self.nodes.truncate_branch(index.value(), new_depth, node);
return old_value;
}
} }
}
// otherwise just recompute the leaf hash and update the leaf node
let node = hash_bottom_leaf(&entries);
self.root = self.nodes.update_leaf_node(index, node);
return old_value;
};
} }
Ok(()) // if the removed key-value pair has a lone sibling at the current tier with a root at
// higher tier, we need to move the sibling to a higher tier
if let Some((sib_key, sib_val, new_sib_index)) = self.values.get_lone_sibling(index) {
// determine the current index of the sibling node
let sib_index = LeafNodeIndex::from_key(sib_key, index.depth());
debug_assert!(sib_index.depth() > new_sib_index.depth());
// compute node value for the new location of the sibling leaf and replace the subtree
// with this leaf node
let node = self.build_leaf_node(new_sib_index, *sib_key, *sib_val);
let new_sib_depth = new_sib_index.depth();
self.root = self.nodes.replace_subtree_with_leaf(index, sib_index, new_sib_depth, node);
} else {
// if the removed key-value pair did not have a sibling at the current tier with a
// root at higher tiers, just clear the leaf node
self.root = self.nodes.clear_leaf_node(index);
}
old_value
} }
/// Returns a node at the specified index. If the node does not exist at this index, a root /// Builds and returns a leaf node value for the node located as the specified index.
/// for an empty subtree at the index's depth is returned.
/// ///
/// Unlike [TieredSmt::get_node()] this does not perform any checks to verify that the returned /// This method assumes that the key-value pair for the node has already been inserted into
/// node is valid in the context of this tree. /// the value store, however, for depths 16, 32, and 48, the node is computed directly from
fn get_node_unchecked(&self, index: &NodeIndex) -> RpoDigest { /// the passed-in values (for depth 64, the value store is queried to get all the key-value
match self.nodes.get(index) { /// pairs located at the specified index).
Some(node) => *node, fn build_leaf_node(&self, index: LeafNodeIndex, key: RpoDigest, value: Word) -> RpoDigest {
None => EmptySubtreeRoots::empty_hashes(Self::MAX_DEPTH)[index.depth() as usize],
}
}
/// Returns an index at which a node for the specified key should be inserted. If a leaf node
/// already exists at that index, returns the key associated with that leaf node.
///
/// In case the index falls into the bottom tier (depth = 64), leaf node key is not returned
/// as the bottom tier may contain multiple key-value pairs in the same leaf.
fn get_insert_location(&self, key: &RpoDigest) -> (NodeIndex, Option<RpoDigest>) {
// traverse the tree from the root down checking nodes at tiers 16, 32, and 48. Return if
// a node at any of the tiers is either a leaf or a root of an empty subtree.
let mse = Word::from(key)[3].as_int();
for depth in (Self::TIER_DEPTHS[0]..Self::MAX_DEPTH).step_by(Self::TIER_SIZE as usize) {
let index = NodeIndex::new_unchecked(depth, mse >> (Self::MAX_DEPTH - depth));
if let Some(leaf_key) = self.upper_leaves.get(&index) {
return (index, Some(*leaf_key));
} else if !self.nodes.contains_key(&index) {
return (index, None);
}
}
// if we got here, that means all of the nodes checked so far are internal nodes, and
// the new node would need to be inserted in the bottom tier.
let index = NodeIndex::new_unchecked(Self::MAX_DEPTH, mse);
(index, None)
}
/// Inserts the provided key-value pair at the specified index and updates the root of this
/// Merkle tree by recomputing the path to the root.
fn insert_node(&mut self, mut index: NodeIndex, key: RpoDigest, value: Word) {
let depth = index.depth(); let depth = index.depth();
// insert the key into index-key map and compute the new value of the node // insert the key into index-key map and compute the new value of the node
let mut node = if index.depth() == Self::MAX_DEPTH { if index.depth() == Self::MAX_DEPTH {
// for the bottom tier, we add the key-value pair to the existing leaf, or create a // for the bottom tier, we add the key-value pair to the existing leaf, or create a
// new leaf with this key-value pair // new leaf with this key-value pair
self.bottom_leaves let values = self.values.get_all(index.value()).unwrap();
.entry(index.value()) hash_bottom_leaf(&values)
.and_modify(|leaves| leaves.add_value(key, value))
.or_insert(BottomLeaf::new(key, value))
.hash()
} else { } else {
// for the upper tiers, we just update the index-key map and compute the value of the debug_assert_eq!(self.values.get_first(index_to_prefix(&index)), Some(&(key, value)));
// node hash_upper_leaf(key, value, depth)
self.upper_leaves.insert(index, key);
// the node value is computed as: hash(remaining_key || value, domain = depth)
let remaining_path = get_remaining_path(key, depth.into());
Rpo256::merge_in_domain(&[remaining_path, value.into()], depth.into())
};
// insert the node and update the path from the node to the root
for _ in 0..index.depth() {
self.nodes.insert(index, node);
let sibling = self.get_node_unchecked(&index.sibling());
node = Rpo256::merge(&index.build_node(node, sibling));
index.move_up();
} }
// update the root
self.nodes.insert(NodeIndex::root(), node);
self.root = node;
} }
} }
impl Default for TieredSmt { impl Default for TieredSmt {
fn default() -> Self { fn default() -> Self {
let root = EmptySubtreeRoots::empty_hashes(Self::MAX_DEPTH)[0];
Self { Self {
root: EmptySubtreeRoots::empty_hashes(Self::MAX_DEPTH)[0], root,
nodes: BTreeMap::new(), nodes: NodeStore::new(root),
upper_leaves: BTreeMap::new(), values: ValueStore::default(),
bottom_leaves: BTreeMap::new(),
values: BTreeMap::new(),
} }
} }
} }
// LEAF NODE INDEX
// ================================================================================================
/// A wrapper around [NodeIndex] to provide type-safe references to nodes at depths 16, 32, 48, and
/// 64.
#[derive(Debug, Default, Copy, Clone, Eq, PartialEq, PartialOrd, Ord, Hash)]
pub struct LeafNodeIndex(NodeIndex);
impl LeafNodeIndex {
/// Returns a new [LeafNodeIndex] instantiated from the provided [NodeIndex].
///
/// In debug mode, panics if index depth is not 16, 32, 48, or 64.
pub fn new(index: NodeIndex) -> Self {
// check if the depth is 16, 32, 48, or 64; this works because for a valid depth,
// depth - 16, can be 0, 16, 32, or 48 - i.e., the value is either 0 or any of the 4th
// or 5th bits are set. We can test for this by computing a bitwise AND with a value
// which has all but the 4th and 5th bits set (which is !48).
debug_assert_eq!(((index.depth() - 16) & !48), 0, "invalid tier depth {}", index.depth());
Self(index)
}
/// Returns a new [LeafNodeIndex] instantiated from the specified key inserted at the specified
/// depth.
///
/// The value for the key is computed by taking n most significant bits from the most significant
/// element of the key, where n is the specified depth.
pub fn from_key(key: &RpoDigest, depth: u8) -> Self {
let mse = get_key_prefix(key);
Self::new(NodeIndex::new_unchecked(depth, mse >> (TieredSmt::MAX_DEPTH - depth)))
}
/// Returns a new [LeafNodeIndex] instantiated for testing purposes.
#[cfg(test)]
pub fn make(depth: u8, value: u64) -> Self {
Self::new(NodeIndex::make(depth, value))
}
/// Traverses towards the root until the specified depth is reached.
///
/// The new depth must be a valid tier depth - i.e., 16, 32, 48, or 64.
pub fn move_up_to(&mut self, depth: u8) {
debug_assert_eq!(((depth - 16) & !48), 0, "invalid tier depth: {depth}");
self.0.move_up_to(depth);
}
}
impl Deref for LeafNodeIndex {
type Target = NodeIndex;
fn deref(&self) -> &Self::Target {
&self.0
}
}
impl From<NodeIndex> for LeafNodeIndex {
fn from(value: NodeIndex) -> Self {
Self::new(value)
}
}
impl From<LeafNodeIndex> for NodeIndex {
fn from(value: LeafNodeIndex) -> Self {
value.0
}
}
// HELPER FUNCTIONS // HELPER FUNCTIONS
// ================================================================================================ // ================================================================================================
/// Returns the remaining path for the specified key at the specified depth. /// Returns the value representing the 64 most significant bits of the specified key.
/// fn get_key_prefix(key: &RpoDigest) -> u64 {
/// Remaining path is computed by setting n most significant bits of the key to zeros, where n is Word::from(key)[3].as_int()
/// the specified depth.
fn get_remaining_path(key: RpoDigest, depth: u32) -> RpoDigest {
let mut key = Word::from(key);
key[3] = if depth == 64 {
ZERO
} else {
// remove `depth` bits from the most significant key element
((key[3].as_int() << depth) >> depth).into()
};
key.into()
} }
/// Returns index for the specified key inserted at the specified depth. /// Returns the index value shifted to be in the most significant bit positions of the returned
/// /// u64 value.
/// The value for the key is computed by taking n most significant bits from the most significant fn index_to_prefix(index: &NodeIndex) -> u64 {
/// element of the key, where n is the specified depth. index.value() << (TieredSmt::MAX_DEPTH - index.depth())
fn key_to_index(key: &RpoDigest, depth: u8) -> NodeIndex {
let mse = Word::from(key)[3].as_int();
let value = match depth {
16 | 32 | 48 | 64 => mse >> ((TieredSmt::MAX_DEPTH - depth) as u32),
_ => unreachable!("invalid depth: {depth}"),
};
NodeIndex::new_unchecked(depth, value)
} }
/// Returns tiered common prefix length between the most significant elements of the provided keys. /// Returns tiered common prefix length between the most significant elements of the provided keys.
@@ -393,93 +476,34 @@ fn key_to_index(key: &RpoDigest, depth: u8) -> NodeIndex {
/// - returns 32 if the common prefix is between 32 and 47 bits. /// - returns 32 if the common prefix is between 32 and 47 bits.
/// - returns 16 if the common prefix is between 16 and 31 bits. /// - returns 16 if the common prefix is between 16 and 31 bits.
/// - returns 0 if the common prefix is fewer than 16 bits. /// - returns 0 if the common prefix is fewer than 16 bits.
fn get_common_prefix_tier(key1: &RpoDigest, key2: &RpoDigest) -> u8 { fn get_common_prefix_tier_depth(key1: &RpoDigest, key2: &RpoDigest) -> u8 {
let e1 = Word::from(key1)[3].as_int(); let e1 = get_key_prefix(key1);
let e2 = Word::from(key2)[3].as_int(); let e2 = get_key_prefix(key2);
let ex = (e1 ^ e2).leading_zeros() as u8; let ex = (e1 ^ e2).leading_zeros() as u8;
(ex / 16) * 16 (ex / 16) * 16
} }
/// Returns a tier for the specified index. /// Computes node value for leaves at tiers 16, 32, or 48.
/// ///
/// The tiers are defined as follows: /// Node value is computed as: hash(key || value, domain = depth).
/// - Tier 0: depth 0 through 16 (inclusive). pub fn hash_upper_leaf(key: RpoDigest, value: Word, depth: u8) -> RpoDigest {
/// - Tier 1: depth 17 through 32 (inclusive). const NUM_UPPER_TIERS: usize = TieredSmt::TIER_DEPTHS.len() - 1;
/// - Tier 2: depth 33 through 48 (inclusive). debug_assert!(TieredSmt::TIER_DEPTHS[..NUM_UPPER_TIERS].contains(&depth));
/// - Tier 3: depth 49 through 64 (inclusive). Rpo256::merge_in_domain(&[key, value.into()], depth.into())
const fn get_index_tier(index: &NodeIndex) -> usize {
debug_assert!(index.depth() <= TieredSmt::MAX_DEPTH, "invalid depth");
match index.depth() {
0..=16 => 0,
17..=32 => 1,
33..=48 => 2,
_ => 3,
}
} }
/// Returns true if the specified index is an index for an inner node (i.e., the depth is not 16, /// Computes node value for leaves at the bottom tier (depth 64).
/// 32, 48, or 64).
const fn is_inner_node(index: &NodeIndex) -> bool {
!matches!(index.depth(), 16 | 32 | 48 | 64)
}
// BOTTOM LEAF
// ================================================================================================
/// Stores contents of the bottom leaf (i.e., leaf at depth = 64) in a [TieredSmt].
/// ///
/// Bottom leaf can contain one or more key-value pairs all sharing the same 64-bit key prefix. /// Node value is computed as: hash([key_0, value_0, ..., key_n, value_n], domain=64).
/// The values are sorted by key to make sure the structure of the leaf is independent of the ///
/// insertion order. This guarantees that a leaf with the same set of key-value pairs always has /// TODO: when hashing in domain is implemented for `hash_elements()`, combine this function with
/// the same hash value. /// `hash_upper_leaf()` function.
#[derive(Debug, Clone, PartialEq, Eq)] pub fn hash_bottom_leaf(values: &[(RpoDigest, Word)]) -> RpoDigest {
struct BottomLeaf { let mut elements = Vec::with_capacity(values.len() * 8);
prefix: u64, for (key, val) in values.iter() {
values: BTreeMap<[u64; 4], Word>, elements.extend_from_slice(key.as_elements());
} elements.extend_from_slice(val.as_slice());
}
impl BottomLeaf { // TODO: hash in domain
/// Returns a new [BottomLeaf] with a single key-value pair added. Rpo256::hash_elements(&elements)
pub fn new(key: RpoDigest, value: Word) -> Self {
let prefix = Word::from(key)[3].as_int();
let mut values = BTreeMap::new();
let key = get_remaining_path(key, TieredSmt::MAX_DEPTH as u32);
values.insert(key.into(), value);
Self { prefix, values }
}
/// Adds a new key-value pair to this leaf.
pub fn add_value(&mut self, key: RpoDigest, value: Word) {
let key = get_remaining_path(key, TieredSmt::MAX_DEPTH as u32);
self.values.insert(key.into(), value);
}
/// Computes a hash of this leaf.
pub fn hash(&self) -> RpoDigest {
let mut elements = Vec::with_capacity(self.values.len() * 2);
for (key, val) in self.values.iter() {
key.iter().for_each(|&v| elements.push(Felt::new(v)));
elements.extend_from_slice(val.as_slice());
}
// TODO: hash in domain
Rpo256::hash_elements(&elements)
}
/// Returns contents of this leaf as a vector of (key, value) pairs.
///
/// The keys are returned in their un-truncated form.
pub fn contents(&self) -> Vec<(RpoDigest, Word)> {
self.values
.iter()
.map(|(key, val)| {
let key = RpoDigest::from([
Felt::new(key[0]),
Felt::new(key[1]),
Felt::new(key[2]),
Felt::new(self.prefix),
]);
(key, *val)
})
.collect()
}
} }

View File

@@ -0,0 +1,419 @@
use super::{
BTreeMap, BTreeSet, EmptySubtreeRoots, InnerNodeInfo, LeafNodeIndex, MerkleError, MerklePath,
NodeIndex, Rpo256, RpoDigest, Vec,
};
// CONSTANTS
// ================================================================================================
/// The number of levels between tiers.
const TIER_SIZE: u8 = super::TieredSmt::TIER_SIZE;
/// Depths at which leaves can exist in a tiered SMT.
const TIER_DEPTHS: [u8; 4] = super::TieredSmt::TIER_DEPTHS;
/// Maximum node depth. This is also the bottom tier of the tree.
const MAX_DEPTH: u8 = super::TieredSmt::MAX_DEPTH;
// NODE STORE
// ================================================================================================
/// A store of nodes for a Tiered Sparse Merkle tree.
///
/// The store contains information about all nodes as well as information about which of the nodes
/// represent leaf nodes in a Tiered Sparse Merkle tree. In the current implementation, [BTreeSet]s
/// are used to determine the position of the leaves in the tree.
#[derive(Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct NodeStore {
nodes: BTreeMap<NodeIndex, RpoDigest>,
upper_leaves: BTreeSet<NodeIndex>,
bottom_leaves: BTreeSet<u64>,
}
impl NodeStore {
// CONSTRUCTOR
// --------------------------------------------------------------------------------------------
/// Returns a new instance of [NodeStore] instantiated with the specified root node.
///
/// Root node is assumed to be a root of an empty sparse Merkle tree.
pub fn new(root_node: RpoDigest) -> Self {
let mut nodes = BTreeMap::default();
nodes.insert(NodeIndex::root(), root_node);
Self {
nodes,
upper_leaves: BTreeSet::default(),
bottom_leaves: BTreeSet::default(),
}
}
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns a node at the specified index.
///
/// # Errors
/// Returns an error if:
/// - The specified index depth is 0 or greater than 64.
/// - The node with the specified index does not exists in the Merkle tree. This is possible
/// when a leaf node with the same index prefix exists at a tier higher than the requested
/// node.
pub fn get_node(&self, index: NodeIndex) -> Result<RpoDigest, MerkleError> {
self.validate_node_access(index)?;
Ok(self.get_node_unchecked(&index))
}
/// Returns a Merkle path from the node at the specified index to the root.
///
/// The node itself is not included in the path.
///
/// # Errors
/// Returns an error if:
/// - The specified index depth is 0 or greater than 64.
/// - The node with the specified index does not exists in the Merkle tree. This is possible
/// when a leaf node with the same index prefix exists at a tier higher than the node to
/// which the path is requested.
pub fn get_path(&self, mut index: NodeIndex) -> Result<MerklePath, MerkleError> {
self.validate_node_access(index)?;
let mut path = Vec::with_capacity(index.depth() as usize);
for _ in 0..index.depth() {
let node = self.get_node_unchecked(&index.sibling());
path.push(node);
index.move_up();
}
Ok(path.into())
}
/// Returns a Merkle path to the node specified by the key together with a flag indicating,
/// whether this node is a leaf at depths 16, 32, or 48.
pub fn get_proof(&self, key: &RpoDigest) -> (MerklePath, NodeIndex, bool) {
let (index, leaf_exists) = self.get_leaf_index(key);
let index: NodeIndex = index.into();
let path = self.get_path(index).expect("failed to retrieve Merkle path for a node index");
(path, index, leaf_exists)
}
/// Returns an index at which a leaf node for the specified key should be inserted.
///
/// The second value in the returned tuple is set to true if the node at the returned index
/// is already a leaf node.
pub fn get_leaf_index(&self, key: &RpoDigest) -> (LeafNodeIndex, bool) {
// traverse the tree from the root down checking nodes at tiers 16, 32, and 48. Return if
// a node at any of the tiers is either a leaf or a root of an empty subtree.
const NUM_UPPER_TIERS: usize = TIER_DEPTHS.len() - 1;
for &tier_depth in TIER_DEPTHS[..NUM_UPPER_TIERS].iter() {
let index = LeafNodeIndex::from_key(key, tier_depth);
if self.upper_leaves.contains(&index) {
return (index, true);
} else if !self.nodes.contains_key(&index) {
return (index, false);
}
}
// if we got here, that means all of the nodes checked so far are internal nodes, and
// the new node would need to be inserted in the bottom tier.
let index = LeafNodeIndex::from_key(key, MAX_DEPTH);
(index, self.bottom_leaves.contains(&index.value()))
}
/// Traverses the tree up from the bottom tier starting at the specified leaf index and
/// returns the depth of the first node which hash more than one child. The returned depth
/// is rounded up to the next tier.
pub fn get_last_single_child_parent_depth(&self, leaf_index: u64) -> u8 {
let mut index = NodeIndex::new_unchecked(MAX_DEPTH, leaf_index);
for _ in (TIER_DEPTHS[0]..MAX_DEPTH).rev() {
let sibling_index = index.sibling();
if self.nodes.contains_key(&sibling_index) {
break;
}
index.move_up();
}
let tier = (index.depth() - 1) / TIER_SIZE;
TIER_DEPTHS[tier as usize]
}
// ITERATORS
// --------------------------------------------------------------------------------------------
/// Returns an iterator over all inner nodes of the Tiered Sparse Merkle tree (i.e., nodes not
/// at depths 16 32, 48, or 64).
///
/// The iterator order is unspecified.
pub fn inner_nodes(&self) -> impl Iterator<Item = InnerNodeInfo> + '_ {
self.nodes.iter().filter_map(|(index, node)| {
if self.is_internal_node(index) {
Some(InnerNodeInfo {
value: *node,
left: self.get_node_unchecked(&index.left_child()),
right: self.get_node_unchecked(&index.right_child()),
})
} else {
None
}
})
}
/// Returns an iterator over the upper leaves (i.e., leaves with depths 16, 32, 48) of the
/// Tiered Sparse Merkle tree.
pub fn upper_leaves(&self) -> impl Iterator<Item = (&NodeIndex, &RpoDigest)> {
self.upper_leaves.iter().map(|index| (index, &self.nodes[index]))
}
/// Returns an iterator over the bottom leaves (i.e., leaves with depth 64) of the Tiered
/// Sparse Merkle tree.
pub fn bottom_leaves(&self) -> impl Iterator<Item = (&u64, &RpoDigest)> {
self.bottom_leaves.iter().map(|value| {
let index = NodeIndex::new_unchecked(MAX_DEPTH, *value);
(value, &self.nodes[&index])
})
}
// STATE MUTATORS
// --------------------------------------------------------------------------------------------
/// Replaces the leaf node at the specified index with a tree consisting of two leaves located
/// at the specified indexes. Recomputes and returns the new root.
pub fn replace_leaf_with_subtree(
&mut self,
leaf_index: LeafNodeIndex,
subtree_leaves: [(LeafNodeIndex, RpoDigest); 2],
) -> RpoDigest {
debug_assert!(self.is_non_empty_leaf(&leaf_index));
debug_assert!(!is_empty_root(&subtree_leaves[0].1));
debug_assert!(!is_empty_root(&subtree_leaves[1].1));
debug_assert_eq!(subtree_leaves[0].0.depth(), subtree_leaves[1].0.depth());
debug_assert!(leaf_index.depth() < subtree_leaves[0].0.depth());
self.upper_leaves.remove(&leaf_index);
if subtree_leaves[0].0 == subtree_leaves[1].0 {
// if the subtree is for a single node at depth 64, we only need to insert one node
debug_assert_eq!(subtree_leaves[0].0.depth(), MAX_DEPTH);
debug_assert_eq!(subtree_leaves[0].1, subtree_leaves[1].1);
self.insert_leaf_node(subtree_leaves[0].0, subtree_leaves[0].1)
} else {
self.insert_leaf_node(subtree_leaves[0].0, subtree_leaves[0].1);
self.insert_leaf_node(subtree_leaves[1].0, subtree_leaves[1].1)
}
}
/// Replaces a subtree containing the retained and the removed leaf nodes, with a leaf node
/// containing the retained leaf.
///
/// This has the effect of deleting the the node at the `removed_leaf` index from the tree,
/// moving the node at the `retained_leaf` index up to the tier specified by `new_depth`.
pub fn replace_subtree_with_leaf(
&mut self,
removed_leaf: LeafNodeIndex,
retained_leaf: LeafNodeIndex,
new_depth: u8,
node: RpoDigest,
) -> RpoDigest {
debug_assert!(!is_empty_root(&node));
debug_assert!(self.is_non_empty_leaf(&removed_leaf));
debug_assert!(self.is_non_empty_leaf(&retained_leaf));
debug_assert_eq!(removed_leaf.depth(), retained_leaf.depth());
debug_assert!(removed_leaf.depth() > new_depth);
// remove the branches leading up to the tier to which the retained leaf is to be moved
self.remove_branch(removed_leaf, new_depth);
self.remove_branch(retained_leaf, new_depth);
// compute the index of the common root for retained and removed leaves
let mut new_index = retained_leaf;
new_index.move_up_to(new_depth);
// insert the node at the root index
self.insert_leaf_node(new_index, node)
}
/// Inserts the specified node at the specified index; recomputes and returns the new root
/// of the Tiered Sparse Merkle tree.
///
/// This method assumes that the provided node is a non-empty value, and that there is no node
/// at the specified index.
pub fn insert_leaf_node(&mut self, index: LeafNodeIndex, mut node: RpoDigest) -> RpoDigest {
debug_assert!(!is_empty_root(&node));
debug_assert_eq!(self.nodes.get(&index), None);
// mark the node as the leaf
if index.depth() == MAX_DEPTH {
self.bottom_leaves.insert(index.value());
} else {
self.upper_leaves.insert(index.into());
};
// insert the node and update the path from the node to the root
let mut index: NodeIndex = index.into();
for _ in 0..index.depth() {
self.nodes.insert(index, node);
let sibling = self.get_node_unchecked(&index.sibling());
node = Rpo256::merge(&index.build_node(node, sibling));
index.move_up();
}
// update the root
self.nodes.insert(NodeIndex::root(), node);
node
}
/// Updates the node at the specified index with the specified node value; recomputes and
/// returns the new root of the Tiered Sparse Merkle tree.
///
/// This method can accept `node` as either an empty or a non-empty value.
pub fn update_leaf_node(&mut self, index: LeafNodeIndex, mut node: RpoDigest) -> RpoDigest {
debug_assert!(self.is_non_empty_leaf(&index));
// if the value we are updating the node to is a root of an empty tree, clear the leaf
// flag for this node
if node == EmptySubtreeRoots::empty_hashes(MAX_DEPTH)[index.depth() as usize] {
if index.depth() == MAX_DEPTH {
self.bottom_leaves.remove(&index.value());
} else {
self.upper_leaves.remove(&index);
}
} else {
debug_assert!(!is_empty_root(&node));
}
// update the path from the node to the root
let mut index: NodeIndex = index.into();
for _ in 0..index.depth() {
if node == EmptySubtreeRoots::empty_hashes(MAX_DEPTH)[index.depth() as usize] {
self.nodes.remove(&index);
} else {
self.nodes.insert(index, node);
}
let sibling = self.get_node_unchecked(&index.sibling());
node = Rpo256::merge(&index.build_node(node, sibling));
index.move_up();
}
// update the root
self.nodes.insert(NodeIndex::root(), node);
node
}
/// Replaces the leaf node at the specified index with a root of an empty subtree; recomputes
/// and returns the new root of the Tiered Sparse Merkle tree.
pub fn clear_leaf_node(&mut self, index: LeafNodeIndex) -> RpoDigest {
debug_assert!(self.is_non_empty_leaf(&index));
let node = EmptySubtreeRoots::empty_hashes(MAX_DEPTH)[index.depth() as usize];
self.update_leaf_node(index, node)
}
/// Truncates a branch starting with specified leaf at the bottom tier to new depth.
///
/// This involves removing the part of the branch below the new depth, and then inserting a new
/// // node at the new depth.
pub fn truncate_branch(
&mut self,
leaf_index: u64,
new_depth: u8,
node: RpoDigest,
) -> RpoDigest {
debug_assert!(self.bottom_leaves.contains(&leaf_index));
let mut leaf_index = LeafNodeIndex::new(NodeIndex::new_unchecked(MAX_DEPTH, leaf_index));
self.remove_branch(leaf_index, new_depth);
leaf_index.move_up_to(new_depth);
self.insert_leaf_node(leaf_index, node)
}
// HELPER METHODS
// --------------------------------------------------------------------------------------------
/// Returns true if the node at the specified index is a leaf node.
fn is_non_empty_leaf(&self, index: &LeafNodeIndex) -> bool {
if index.depth() == MAX_DEPTH {
self.bottom_leaves.contains(&index.value())
} else {
self.upper_leaves.contains(index)
}
}
/// Returns true if the node at the specified index is an internal node - i.e., there is
/// no leaf at that node and the node does not belong to the bottom tier.
fn is_internal_node(&self, index: &NodeIndex) -> bool {
if index.depth() == MAX_DEPTH {
false
} else {
!self.upper_leaves.contains(index)
}
}
/// Checks if the specified index is valid in the context of this Merkle tree.
///
/// # Errors
/// Returns an error if:
/// - The specified index depth is 0 or greater than 64.
/// - The node for the specified index does not exists in the Merkle tree. This is possible
/// when an ancestors of the specified index is a leaf node.
fn validate_node_access(&self, index: NodeIndex) -> Result<(), MerkleError> {
if index.is_root() {
return Err(MerkleError::DepthTooSmall(index.depth()));
} else if index.depth() > MAX_DEPTH {
return Err(MerkleError::DepthTooBig(index.depth() as u64));
} else {
// make sure that there are no leaf nodes in the ancestors of the index; since leaf
// nodes can live at specific depth, we just need to check these depths.
let tier = ((index.depth() - 1) / TIER_SIZE) as usize;
let mut tier_index = index;
for &depth in TIER_DEPTHS[..tier].iter().rev() {
tier_index.move_up_to(depth);
if self.upper_leaves.contains(&tier_index) {
return Err(MerkleError::NodeNotInSet(index));
}
}
}
Ok(())
}
/// Returns a node at the specified index. If the node does not exist at this index, a root
/// for an empty subtree at the index's depth is returned.
///
/// Unlike [NodeStore::get_node()] this does not perform any checks to verify that the
/// returned node is valid in the context of this tree.
fn get_node_unchecked(&self, index: &NodeIndex) -> RpoDigest {
match self.nodes.get(index) {
Some(node) => *node,
None => EmptySubtreeRoots::empty_hashes(MAX_DEPTH)[index.depth() as usize],
}
}
/// Removes a sequence of nodes starting at the specified index and traversing the tree up to
/// the specified depth. The node at the `end_depth` is also removed, and the appropriate leaf
/// flag is cleared.
///
/// This method does not update any other nodes and does not recompute the tree root.
fn remove_branch(&mut self, index: LeafNodeIndex, end_depth: u8) {
if index.depth() == MAX_DEPTH {
self.bottom_leaves.remove(&index.value());
} else {
self.upper_leaves.remove(&index);
}
let mut index: NodeIndex = index.into();
assert!(index.depth() > end_depth);
for _ in 0..(index.depth() - end_depth + 1) {
self.nodes.remove(&index);
index.move_up()
}
}
}
// HELPER FUNCTIONS
// ================================================================================================
/// Returns true if the specified node is a root of an empty tree or an empty value ([ZERO; 4]).
fn is_empty_root(node: &RpoDigest) -> bool {
EmptySubtreeRoots::empty_hashes(MAX_DEPTH).contains(node)
}

View File

@@ -0,0 +1,170 @@
use super::{
get_common_prefix_tier_depth, get_key_prefix, hash_bottom_leaf, hash_upper_leaf,
EmptySubtreeRoots, LeafNodeIndex, MerklePath, RpoDigest, TieredSmtProofError, Vec, Word,
};
// CONSTANTS
// ================================================================================================
/// Maximum node depth. This is also the bottom tier of the tree.
const MAX_DEPTH: u8 = super::TieredSmt::MAX_DEPTH;
/// Value of an empty leaf.
pub const EMPTY_VALUE: Word = super::TieredSmt::EMPTY_VALUE;
/// Depths at which leaves can exist in a tiered SMT.
pub const TIER_DEPTHS: [u8; 4] = super::TieredSmt::TIER_DEPTHS;
// TIERED SPARSE MERKLE TREE PROOF
// ================================================================================================
/// A proof which can be used to assert membership (or non-membership) of key-value pairs in a
/// Tiered Sparse Merkle tree.
///
/// The proof consists of a Merkle path and one or more key-value entries which describe the node
/// located at the base of the path. If the node at the base of the path resolves to [ZERO; 4],
/// the entries will contain a single item with value set to [ZERO; 4].
#[derive(PartialEq, Eq, Debug)]
pub struct TieredSmtProof {
path: MerklePath,
entries: Vec<(RpoDigest, Word)>,
}
impl TieredSmtProof {
// CONSTRUCTOR
// --------------------------------------------------------------------------------------------
/// Returns a new instance of [TieredSmtProof] instantiated from the specified path and entries.
///
/// # Panics
/// Panics if:
/// - The length of the path is greater than 64.
/// - Entries is an empty vector.
/// - Entries contains more than 1 item, but the length of the path is not 64.
/// - Entries contains more than 1 item, and one of the items has value set to [ZERO; 4].
/// - Entries contains multiple items with keys which don't share the same 64-bit prefix.
pub fn new<I>(path: MerklePath, entries: I) -> Result<Self, TieredSmtProofError>
where
I: IntoIterator<Item = (RpoDigest, Word)>,
{
let entries: Vec<(RpoDigest, Word)> = entries.into_iter().collect();
if !TIER_DEPTHS.into_iter().any(|e| e == path.depth()) {
return Err(TieredSmtProofError::NotATierPath(path.depth()));
}
if entries.is_empty() {
return Err(TieredSmtProofError::EntriesEmpty);
}
if entries.len() > 1 {
if path.depth() != MAX_DEPTH {
return Err(TieredSmtProofError::MultipleEntriesOutsideLastTier);
}
let prefix = get_key_prefix(&entries[0].0);
for entry in entries.iter().skip(1) {
if entry.1 == EMPTY_VALUE {
return Err(TieredSmtProofError::EmptyValueNotAllowed);
}
let current = get_key_prefix(&entry.0);
if prefix != current {
return Err(TieredSmtProofError::MismatchedPrefixes(prefix, current));
}
}
}
Ok(Self { path, entries })
}
// PROOF VERIFIER
// --------------------------------------------------------------------------------------------
/// Returns true if a Tiered Sparse Merkle tree with the specified root contains the provided
/// key-value pair.
///
/// Note: this method cannot be used to assert non-membership. That is, if false is returned,
/// it does not mean that the provided key-value pair is not in the tree.
pub fn verify_membership(&self, key: &RpoDigest, value: &Word, root: &RpoDigest) -> bool {
// Handles the following scenarios:
// - the value is set
// - empty leaf, there is an explicit entry for the key with the empty value
// - shared 64-bit prefix, the target key is not included in the entries list, the value is implicitly the empty word
let v = match self.entries.iter().find(|(k, _)| k == key) {
Some((_, v)) => v,
None => &EMPTY_VALUE,
};
// The value must match for the proof to be valid
if v != value {
return false;
}
// If the proof is for an empty value, we can verify it against any key which has a common
// prefix with the key storied in entries, but the prefix must be greater than the path
// length
if self.is_value_empty()
&& get_common_prefix_tier_depth(key, &self.entries[0].0) < self.path.depth()
{
return false;
}
// make sure the Merkle path resolves to the correct root
root == &self.compute_root()
}
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns the value associated with the specific key according to this proof, or None if
/// this proof does not contain a value for the specified key.
///
/// A key-value pair generated by using this method should pass the `verify_membership()` check.
pub fn get(&self, key: &RpoDigest) -> Option<Word> {
if self.is_value_empty() {
let common_prefix_tier = get_common_prefix_tier_depth(key, &self.entries[0].0);
if common_prefix_tier < self.path.depth() {
None
} else {
Some(EMPTY_VALUE)
}
} else {
self.entries.iter().find(|(k, _)| k == key).map(|(_, value)| *value)
}
}
/// Computes the root of a Tiered Sparse Merkle tree to which this proof resolve.
pub fn compute_root(&self) -> RpoDigest {
let node = self.build_node();
let index = LeafNodeIndex::from_key(&self.entries[0].0, self.path.depth());
self.path
.compute_root(index.value(), node)
.expect("failed to compute Merkle path root")
}
/// Consume the proof and returns its parts.
pub fn into_parts(self) -> (MerklePath, Vec<(RpoDigest, Word)>) {
(self.path, self.entries)
}
// HELPER METHODS
// --------------------------------------------------------------------------------------------
/// Returns true if the proof is for an empty value.
fn is_value_empty(&self) -> bool {
self.entries[0].1 == EMPTY_VALUE
}
/// Converts the entries contained in this proof into a node value for node at the base of the
/// path contained in this proof.
fn build_node(&self) -> RpoDigest {
let depth = self.path.depth();
if self.is_value_empty() {
EmptySubtreeRoots::empty_hashes(MAX_DEPTH)[depth as usize]
} else if depth == MAX_DEPTH {
hash_bottom_leaf(&self.entries)
} else {
let (key, value) = self.entries[0];
hash_upper_leaf(key, value, depth)
}
}
}

View File

@@ -1,9 +1,11 @@
use super::{ use super::{
super::{super::ONE, Felt, MerkleStore, WORD_SIZE, ZERO}, super::{super::ONE, super::WORD_SIZE, Felt, MerkleStore, EMPTY_WORD, ZERO},
get_remaining_path, EmptySubtreeRoots, InnerNodeInfo, NodeIndex, Rpo256, RpoDigest, TieredSmt, EmptySubtreeRoots, InnerNodeInfo, NodeIndex, Rpo256, RpoDigest, TieredSmt, Vec, Word,
Vec, Word,
}; };
// INSERTION TESTS
// ================================================================================================
#[test] #[test]
fn tsmt_insert_one() { fn tsmt_insert_one() {
let mut smt = TieredSmt::default(); let mut smt = TieredSmt::default();
@@ -217,6 +219,9 @@ fn tsmt_insert_three() {
actual_nodes.iter().for_each(|node| assert!(expected_nodes.contains(node))); actual_nodes.iter().for_each(|node| assert!(expected_nodes.contains(node)));
} }
// UPDATE TESTS
// ================================================================================================
#[test] #[test]
fn tsmt_update() { fn tsmt_update() {
let mut smt = TieredSmt::default(); let mut smt = TieredSmt::default();
@@ -252,6 +257,334 @@ fn tsmt_update() {
actual_nodes.iter().for_each(|node| assert!(expected_nodes.contains(node))); actual_nodes.iter().for_each(|node| assert!(expected_nodes.contains(node)));
} }
// DELETION TESTS
// ================================================================================================
#[test]
fn tsmt_delete_16() {
let mut smt = TieredSmt::default();
// --- insert a value into the tree ---------------------------------------
let smt0 = smt.clone();
let raw_a = 0b_01010101_01101100_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_a = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE, ONE, ONE, ONE];
smt.insert(key_a, value_a);
// --- insert another value into the tree ---------------------------------
let smt1 = smt.clone();
let raw_b = 0b_01011111_01101100_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_b = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_b)]);
let value_b = [ONE, ONE, ONE, ZERO];
smt.insert(key_b, value_b);
// --- delete the last inserted value -------------------------------------
assert_eq!(smt.insert(key_b, EMPTY_WORD), value_b);
assert_eq!(smt, smt1);
// --- delete the first inserted value ------------------------------------
assert_eq!(smt.insert(key_a, EMPTY_WORD), value_a);
assert_eq!(smt, smt0);
}
#[test]
fn tsmt_delete_32() {
let mut smt = TieredSmt::default();
// --- insert a value into the tree ---------------------------------------
let smt0 = smt.clone();
let raw_a = 0b_01010101_01101100_01111111_11111111_10010110_10010011_11100000_00000000_u64;
let key_a = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE, ONE, ONE, ONE];
smt.insert(key_a, value_a);
// --- insert another with the same 16-bit prefix into the tree -----------
let smt1 = smt.clone();
let raw_b = 0b_01010101_01101100_00111111_11111111_10010110_10010011_11100000_00000000_u64;
let key_b = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_b)]);
let value_b = [ONE, ONE, ONE, ZERO];
smt.insert(key_b, value_b);
// --- insert the 3rd value with the same 16-bit prefix into the tree -----
let smt2 = smt.clone();
let raw_c = 0b_01010101_01101100_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_c = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_c)]);
let value_c = [ONE, ONE, ZERO, ZERO];
smt.insert(key_c, value_c);
// --- delete the last inserted value -------------------------------------
assert_eq!(smt.insert(key_c, EMPTY_WORD), value_c);
assert_eq!(smt, smt2);
// --- delete the last inserted value -------------------------------------
assert_eq!(smt.insert(key_b, EMPTY_WORD), value_b);
assert_eq!(smt, smt1);
// --- delete the first inserted value ------------------------------------
assert_eq!(smt.insert(key_a, EMPTY_WORD), value_a);
assert_eq!(smt, smt0);
}
#[test]
fn tsmt_delete_48_same_32_bit_prefix() {
let mut smt = TieredSmt::default();
// test the case when all values share the same 32-bit prefix
// --- insert a value into the tree ---------------------------------------
let smt0 = smt.clone();
let raw_a = 0b_01010101_01010101_11111111_11111111_10010110_10010011_11100000_00000000_u64;
let key_a = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE, ONE, ONE, ONE];
smt.insert(key_a, value_a);
// --- insert another with the same 32-bit prefix into the tree -----------
let smt1 = smt.clone();
let raw_b = 0b_01010101_01010101_11111111_11111111_11010110_10010011_11100000_00000000_u64;
let key_b = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_b)]);
let value_b = [ONE, ONE, ONE, ZERO];
smt.insert(key_b, value_b);
// --- insert the 3rd value with the same 32-bit prefix into the tree -----
let smt2 = smt.clone();
let raw_c = 0b_01010101_01010101_11111111_11111111_11110110_10010011_11100000_00000000_u64;
let key_c = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_c)]);
let value_c = [ONE, ONE, ZERO, ZERO];
smt.insert(key_c, value_c);
// --- delete the last inserted value -------------------------------------
assert_eq!(smt.insert(key_c, EMPTY_WORD), value_c);
assert_eq!(smt, smt2);
// --- delete the last inserted value -------------------------------------
assert_eq!(smt.insert(key_b, EMPTY_WORD), value_b);
assert_eq!(smt, smt1);
// --- delete the first inserted value ------------------------------------
assert_eq!(smt.insert(key_a, EMPTY_WORD), value_a);
assert_eq!(smt, smt0);
}
#[test]
fn tsmt_delete_48_mixed_prefix() {
let mut smt = TieredSmt::default();
// test the case when some values share a 32-bit prefix and others share a 16-bit prefix
// --- insert a value into the tree ---------------------------------------
let smt0 = smt.clone();
let raw_a = 0b_01010101_01010101_11111111_11111111_10010110_10010011_11100000_00000000_u64;
let key_a = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE, ONE, ONE, ONE];
smt.insert(key_a, value_a);
// --- insert another with the same 16-bit prefix into the tree -----------
let smt1 = smt.clone();
let raw_b = 0b_01010101_01010101_01111111_11111111_10010110_10010011_11100000_00000000_u64;
let key_b = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_b)]);
let value_b = [ONE, ONE, ONE, ZERO];
smt.insert(key_b, value_b);
// --- insert a value with the same 32-bit prefix as the first value -----
let smt2 = smt.clone();
let raw_c = 0b_01010101_01010101_11111111_11111111_11010110_10010011_11100000_00000000_u64;
let key_c = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_c)]);
let value_c = [ONE, ONE, ZERO, ZERO];
smt.insert(key_c, value_c);
// --- insert another value with the same 32-bit prefix as the first value
let smt3 = smt.clone();
let raw_d = 0b_01010101_01010101_11111111_11111111_11110110_10010011_11100000_00000000_u64;
let key_d = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_d)]);
let value_d = [ONE, ZERO, ZERO, ZERO];
smt.insert(key_d, value_d);
// --- delete the inserted values one-by-one ------------------------------
assert_eq!(smt.insert(key_d, EMPTY_WORD), value_d);
assert_eq!(smt, smt3);
assert_eq!(smt.insert(key_c, EMPTY_WORD), value_c);
assert_eq!(smt, smt2);
assert_eq!(smt.insert(key_b, EMPTY_WORD), value_b);
assert_eq!(smt, smt1);
assert_eq!(smt.insert(key_a, EMPTY_WORD), value_a);
assert_eq!(smt, smt0);
}
#[test]
fn tsmt_delete_64() {
let mut smt = TieredSmt::default();
// test the case when all values share the same 48-bit prefix
// --- insert a value into the tree ---------------------------------------
let smt0 = smt.clone();
let raw_a = 0b_01010101_01010101_11111111_11111111_10110101_10101010_11111100_00000000_u64;
let key_a = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE, ONE, ONE, ONE];
smt.insert(key_a, value_a);
// --- insert a value with the same 48-bit prefix into the tree -----------
let smt1 = smt.clone();
let raw_b = 0b_01010101_01010101_11111111_11111111_10110101_10101010_10111100_00000000_u64;
let key_b = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_b)]);
let value_b = [ONE, ONE, ONE, ZERO];
smt.insert(key_b, value_b);
// --- insert a value with the same 32-bit prefix into the tree -----------
let smt2 = smt.clone();
let raw_c = 0b_01010101_01010101_11111111_11111111_11111101_10101010_10111100_00000000_u64;
let key_c = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_c)]);
let value_c = [ONE, ONE, ZERO, ZERO];
smt.insert(key_c, value_c);
let smt3 = smt.clone();
let raw_d = 0b_01010101_01010101_11111111_11111111_10110101_10101010_11111100_00000000_u64;
let key_d = RpoDigest::from([ZERO, ZERO, ONE, Felt::new(raw_d)]);
let value_d = [ONE, ZERO, ZERO, ZERO];
smt.insert(key_d, value_d);
// --- delete the last inserted value -------------------------------------
assert_eq!(smt.insert(key_d, EMPTY_WORD), value_d);
assert_eq!(smt, smt3);
assert_eq!(smt.insert(key_c, EMPTY_WORD), value_c);
assert_eq!(smt, smt2);
assert_eq!(smt.insert(key_b, EMPTY_WORD), value_b);
assert_eq!(smt, smt1);
assert_eq!(smt.insert(key_a, EMPTY_WORD), value_a);
assert_eq!(smt, smt0);
}
#[test]
fn tsmt_delete_64_leaf_promotion() {
let mut smt = TieredSmt::default();
// --- delete from bottom tier (no promotion to upper tiers) --------------
// insert a value into the tree
let raw_a = 0b_01010101_01010101_11111111_11111111_10101010_10101010_11111111_00000000_u64;
let key_a = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE, ONE, ONE, ONE];
smt.insert(key_a, value_a);
// insert another value with a key having the same 64-bit prefix
let key_b = RpoDigest::from([ONE, ONE, ZERO, Felt::new(raw_a)]);
let value_b = [ONE, ONE, ONE, ZERO];
smt.insert(key_b, value_b);
// insert a value with a key which shared the same 48-bit prefix
let raw_c = 0b_01010101_01010101_11111111_11111111_10101010_10101010_00111111_00000000_u64;
let key_c = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_c)]);
let value_c = [ONE, ONE, ZERO, ZERO];
smt.insert(key_c, value_c);
// delete entry A and compare to the tree which was built from B and C
smt.insert(key_a, EMPTY_WORD);
let mut expected_smt = TieredSmt::default();
expected_smt.insert(key_b, value_b);
expected_smt.insert(key_c, value_c);
assert_eq!(smt, expected_smt);
// entries B and C should stay at depth 64
assert_eq!(smt.nodes.get_leaf_index(&key_b).0.depth(), 64);
assert_eq!(smt.nodes.get_leaf_index(&key_c).0.depth(), 64);
// --- delete from bottom tier (promotion to depth 48) --------------------
let mut smt = TieredSmt::default();
smt.insert(key_a, value_a);
smt.insert(key_b, value_b);
// insert a value with a key which shared the same 32-bit prefix
let raw_c = 0b_01010101_01010101_11111111_11111111_11101010_10101010_11111111_00000000_u64;
let key_c = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_c)]);
smt.insert(key_c, value_c);
// delete entry A and compare to the tree which was built from B and C
smt.insert(key_a, EMPTY_WORD);
let mut expected_smt = TieredSmt::default();
expected_smt.insert(key_b, value_b);
expected_smt.insert(key_c, value_c);
assert_eq!(smt, expected_smt);
// entry B moves to depth 48, entry C stays at depth 48
assert_eq!(smt.nodes.get_leaf_index(&key_b).0.depth(), 48);
assert_eq!(smt.nodes.get_leaf_index(&key_c).0.depth(), 48);
// --- delete from bottom tier (promotion to depth 32) --------------------
let mut smt = TieredSmt::default();
smt.insert(key_a, value_a);
smt.insert(key_b, value_b);
// insert a value with a key which shared the same 16-bit prefix
let raw_c = 0b_01010101_01010101_01111111_11111111_10101010_10101010_11111111_00000000_u64;
let key_c = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_c)]);
smt.insert(key_c, value_c);
// delete entry A and compare to the tree which was built from B and C
smt.insert(key_a, EMPTY_WORD);
let mut expected_smt = TieredSmt::default();
expected_smt.insert(key_b, value_b);
expected_smt.insert(key_c, value_c);
assert_eq!(smt, expected_smt);
// entry B moves to depth 32, entry C stays at depth 32
assert_eq!(smt.nodes.get_leaf_index(&key_b).0.depth(), 32);
assert_eq!(smt.nodes.get_leaf_index(&key_c).0.depth(), 32);
// --- delete from bottom tier (promotion to depth 16) --------------------
let mut smt = TieredSmt::default();
smt.insert(key_a, value_a);
smt.insert(key_b, value_b);
// insert a value with a key which shared prefix < 16 bits
let raw_c = 0b_01010101_01010100_11111111_11111111_10101010_10101010_11111111_00000000_u64;
let key_c = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_c)]);
smt.insert(key_c, value_c);
// delete entry A and compare to the tree which was built from B and C
smt.insert(key_a, EMPTY_WORD);
let mut expected_smt = TieredSmt::default();
expected_smt.insert(key_b, value_b);
expected_smt.insert(key_c, value_c);
assert_eq!(smt, expected_smt);
// entry B moves to depth 16, entry C stays at depth 16
assert_eq!(smt.nodes.get_leaf_index(&key_b).0.depth(), 16);
assert_eq!(smt.nodes.get_leaf_index(&key_c).0.depth(), 16);
}
#[test]
fn test_order_sensitivity() {
let raw = 0b_10101010_10101010_00011111_11111111_10010110_10010011_11100000_00000001_u64;
let value = [ONE; WORD_SIZE];
let key_1 = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw)]);
let key_2 = RpoDigest::from([ONE, ONE, ZERO, Felt::new(raw)]);
let mut smt_1 = TieredSmt::default();
smt_1.insert(key_1, value);
smt_1.insert(key_2, value);
smt_1.insert(key_2, EMPTY_WORD);
let mut smt_2 = TieredSmt::default();
smt_2.insert(key_1, value);
assert_eq!(smt_1.root(), smt_2.root());
}
// BOTTOM TIER TESTS // BOTTOM TIER TESTS
// ================================================================================================ // ================================================================================================
@@ -301,9 +634,26 @@ fn tsmt_bottom_tier() {
actual_nodes.iter().for_each(|node| assert!(expected_nodes.contains(node))); actual_nodes.iter().for_each(|node| assert!(expected_nodes.contains(node)));
// make sure leaves are returned correctly // make sure leaves are returned correctly
let mut leaves = smt.bottom_leaves(); let smt_clone = smt.clone();
let mut leaves = smt_clone.bottom_leaves();
assert_eq!(leaves.next(), Some((leaf_node, vec![(key_b, val_b), (key_a, val_a)]))); assert_eq!(leaves.next(), Some((leaf_node, vec![(key_b, val_b), (key_a, val_a)])));
assert_eq!(leaves.next(), None); assert_eq!(leaves.next(), None);
// --- update a leaf at the bottom tier -------------------------------------------------------
let val_a2 = [Felt::new(3); WORD_SIZE];
assert_eq!(smt.insert(key_a, val_a2), val_a);
let leaf_node = build_bottom_leaf_node(&[key_b, key_a], &[val_b, val_a2]);
store.set_node(tree_root, index, leaf_node).unwrap();
let expected_nodes = get_non_empty_nodes(&store);
let actual_nodes = smt.inner_nodes().collect::<Vec<_>>();
actual_nodes.iter().for_each(|node| assert!(expected_nodes.contains(node)));
let mut leaves = smt.bottom_leaves();
assert_eq!(leaves.next(), Some((leaf_node, vec![(key_b, val_b), (key_a, val_a2)])));
assert_eq!(leaves.next(), None);
} }
#[test] #[test]
@@ -362,6 +712,186 @@ fn tsmt_bottom_tier_two() {
assert_eq!(leaves.next(), None); assert_eq!(leaves.next(), None);
} }
// GET PROOF TESTS
// ================================================================================================
/// Tests the membership and non-membership proof for a single at depth 64
#[test]
fn tsmt_get_proof_single_element_64() {
let mut smt = TieredSmt::default();
let raw_a = 0b_00000000_00000001_00000000_00000001_00000000_00000001_00000000_00000001_u64;
let key_a = [ONE, ONE, ONE, raw_a.into()].into();
let value_a = [ONE, ONE, ONE, ONE];
smt.insert(key_a, value_a);
// push element `a` to depth 64, by inserting another value that shares the 48-bit prefix
let raw_b = 0b_00000000_00000001_00000000_00000001_00000000_00000001_00000000_00000000_u64;
let key_b = [ONE, ONE, ONE, raw_b.into()].into();
smt.insert(key_b, [ONE, ONE, ONE, ONE]);
// verify the proof for element `a`
let proof = smt.prove(key_a);
assert!(proof.verify_membership(&key_a, &value_a, &smt.root()));
// check that a value that is not inserted in the tree produces a valid membership proof for the
// empty word
let key = [ZERO, ZERO, ZERO, ZERO].into();
let proof = smt.prove(key);
assert!(proof.verify_membership(&key, &EMPTY_WORD, &smt.root()));
// check that a key that shared the 64-bit prefix with `a`, but is not inserted, also has a
// valid membership proof for the empty word
let key = [ONE, ONE, ZERO, raw_a.into()].into();
let proof = smt.prove(key);
assert!(proof.verify_membership(&key, &EMPTY_WORD, &smt.root()));
}
#[test]
fn tsmt_get_proof() {
let mut smt = TieredSmt::default();
// --- insert a value into the tree ---------------------------------------
let raw_a = 0b_01010101_01010101_11111111_11111111_10110101_10101010_11111100_00000000_u64;
let key_a = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE, ONE, ONE, ONE];
smt.insert(key_a, value_a);
// --- insert a value with the same 48-bit prefix into the tree -----------
let raw_b = 0b_01010101_01010101_11111111_11111111_10110101_10101010_10111100_00000000_u64;
let key_b = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_b)]);
let value_b = [ONE, ONE, ONE, ZERO];
smt.insert(key_b, value_b);
let smt_alt = smt.clone();
// --- insert a value with the same 32-bit prefix into the tree -----------
let raw_c = 0b_01010101_01010101_11111111_11111111_11111101_10101010_10111100_00000000_u64;
let key_c = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_c)]);
let value_c = [ONE, ONE, ZERO, ZERO];
smt.insert(key_c, value_c);
// --- insert a value with the same 64-bit prefix as A into the tree ------
let raw_d = 0b_01010101_01010101_11111111_11111111_10110101_10101010_11111100_00000000_u64;
let key_d = RpoDigest::from([ZERO, ZERO, ONE, Felt::new(raw_d)]);
let value_d = [ONE, ZERO, ZERO, ZERO];
smt.insert(key_d, value_d);
// at this point the tree looks as follows:
// - A and D are located in the same node at depth 64.
// - B is located at depth 64 and shares the same 48-bit prefix with A and D.
// - C is located at depth 48 and shares the same 32-bit prefix with A, B, and D.
// --- generate proof for key A and test that it verifies correctly -------
let proof = smt.prove(key_a);
assert!(proof.verify_membership(&key_a, &value_a, &smt.root()));
assert!(!proof.verify_membership(&key_a, &value_b, &smt.root()));
assert!(!proof.verify_membership(&key_a, &EMPTY_WORD, &smt.root()));
assert!(!proof.verify_membership(&key_b, &value_a, &smt.root()));
assert!(!proof.verify_membership(&key_a, &value_a, &smt_alt.root()));
assert_eq!(proof.get(&key_a), Some(value_a));
assert_eq!(proof.get(&key_b), None);
// since A and D are stored in the same node, we should be able to use the proof to verify
// membership of D
assert!(proof.verify_membership(&key_d, &value_d, &smt.root()));
assert_eq!(proof.get(&key_d), Some(value_d));
// --- generate proof for key B and test that it verifies correctly -------
let proof = smt.prove(key_b);
assert!(proof.verify_membership(&key_b, &value_b, &smt.root()));
assert!(!proof.verify_membership(&key_b, &value_a, &smt.root()));
assert!(!proof.verify_membership(&key_b, &EMPTY_WORD, &smt.root()));
assert!(!proof.verify_membership(&key_a, &value_b, &smt.root()));
assert!(!proof.verify_membership(&key_b, &value_b, &smt_alt.root()));
assert_eq!(proof.get(&key_b), Some(value_b));
assert_eq!(proof.get(&key_a), None);
// --- generate proof for key C and test that it verifies correctly -------
let proof = smt.prove(key_c);
assert!(proof.verify_membership(&key_c, &value_c, &smt.root()));
assert!(!proof.verify_membership(&key_c, &value_a, &smt.root()));
assert!(!proof.verify_membership(&key_c, &EMPTY_WORD, &smt.root()));
assert!(!proof.verify_membership(&key_a, &value_c, &smt.root()));
assert!(!proof.verify_membership(&key_c, &value_c, &smt_alt.root()));
assert_eq!(proof.get(&key_c), Some(value_c));
assert_eq!(proof.get(&key_b), None);
// --- generate proof for key D and test that it verifies correctly -------
let proof = smt.prove(key_d);
assert!(proof.verify_membership(&key_d, &value_d, &smt.root()));
assert!(!proof.verify_membership(&key_d, &value_b, &smt.root()));
assert!(!proof.verify_membership(&key_d, &EMPTY_WORD, &smt.root()));
assert!(!proof.verify_membership(&key_b, &value_d, &smt.root()));
assert!(!proof.verify_membership(&key_d, &value_d, &smt_alt.root()));
assert_eq!(proof.get(&key_d), Some(value_d));
assert_eq!(proof.get(&key_b), None);
// since A and D are stored in the same node, we should be able to use the proof to verify
// membership of A
assert!(proof.verify_membership(&key_a, &value_a, &smt.root()));
assert_eq!(proof.get(&key_a), Some(value_a));
// --- generate proof for an empty key at depth 64 ------------------------
// this key has the same 48-bit prefix as A but is different from B
let raw = 0b_01010101_01010101_11111111_11111111_10110101_10101010_11111100_00000011_u64;
let key = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw)]);
let proof = smt.prove(key);
assert!(proof.verify_membership(&key, &EMPTY_WORD, &smt.root()));
assert!(!proof.verify_membership(&key, &value_a, &smt.root()));
assert!(!proof.verify_membership(&key, &EMPTY_WORD, &smt_alt.root()));
assert_eq!(proof.get(&key), Some(EMPTY_WORD));
assert_eq!(proof.get(&key_b), None);
// the same proof should verify against any key with the same 64-bit prefix
let key2 = RpoDigest::from([ONE, ONE, ZERO, Felt::new(raw)]);
assert!(proof.verify_membership(&key2, &EMPTY_WORD, &smt.root()));
assert_eq!(proof.get(&key2), Some(EMPTY_WORD));
// but verifying if against a key with the same 63-bit prefix (or smaller) should fail
let raw3 = 0b_01010101_01010101_11111111_11111111_10110101_10101010_11111100_00000010_u64;
let key3 = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw3)]);
assert!(!proof.verify_membership(&key3, &EMPTY_WORD, &smt.root()));
assert_eq!(proof.get(&key3), None);
// --- generate proof for an empty key at depth 48 ------------------------
// this key has the same 32-prefix as A, B, C, and D, but is different from C
let raw = 0b_01010101_01010101_11111111_11111111_00110101_10101010_11111100_00000000_u64;
let key = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw)]);
let proof = smt.prove(key);
assert!(proof.verify_membership(&key, &EMPTY_WORD, &smt.root()));
assert!(!proof.verify_membership(&key, &value_a, &smt.root()));
assert!(!proof.verify_membership(&key, &EMPTY_WORD, &smt_alt.root()));
assert_eq!(proof.get(&key), Some(EMPTY_WORD));
assert_eq!(proof.get(&key_b), None);
// the same proof should verify against any key with the same 48-bit prefix
let raw2 = 0b_01010101_01010101_11111111_11111111_00110101_10101010_01111100_00000000_u64;
let key2 = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw2)]);
assert!(proof.verify_membership(&key2, &EMPTY_WORD, &smt.root()));
assert_eq!(proof.get(&key2), Some(EMPTY_WORD));
// but verifying against a key with the same 47-bit prefix (or smaller) should fail
let raw3 = 0b_01010101_01010101_11111111_11111111_00110101_10101011_11111100_00000000_u64;
let key3 = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw3)]);
assert!(!proof.verify_membership(&key3, &EMPTY_WORD, &smt.root()));
assert_eq!(proof.get(&key3), None);
}
// ERROR TESTS // ERROR TESTS
// ================================================================================================ // ================================================================================================
@@ -411,8 +941,7 @@ fn get_init_root() -> RpoDigest {
} }
fn build_leaf_node(key: RpoDigest, value: Word, depth: u8) -> RpoDigest { fn build_leaf_node(key: RpoDigest, value: Word, depth: u8) -> RpoDigest {
let remaining_path = get_remaining_path(key, depth as u32); Rpo256::merge_in_domain(&[key, value.into()], depth.into())
Rpo256::merge_in_domain(&[remaining_path, value.into()], depth.into())
} }
fn build_bottom_leaf_node(keys: &[RpoDigest], values: &[Word]) -> RpoDigest { fn build_bottom_leaf_node(keys: &[RpoDigest], values: &[Word]) -> RpoDigest {
@@ -420,9 +949,7 @@ fn build_bottom_leaf_node(keys: &[RpoDigest], values: &[Word]) -> RpoDigest {
let mut elements = Vec::with_capacity(keys.len()); let mut elements = Vec::with_capacity(keys.len());
for (key, val) in keys.iter().zip(values.iter()) { for (key, val) in keys.iter().zip(values.iter()) {
let mut key = Word::from(key); elements.extend_from_slice(key.as_elements());
key[3] = ZERO;
elements.extend_from_slice(&key);
elements.extend_from_slice(val.as_slice()); elements.extend_from_slice(val.as_slice());
} }

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@@ -0,0 +1,584 @@
use super::{get_key_prefix, BTreeMap, LeafNodeIndex, RpoDigest, StarkField, Vec, Word};
use crate::utils::vec;
use core::{
cmp::{Ord, Ordering},
ops::RangeBounds,
};
use winter_utils::collections::btree_map::Entry;
// CONSTANTS
// ================================================================================================
/// Depths at which leaves can exist in a tiered SMT.
const TIER_DEPTHS: [u8; 4] = super::TieredSmt::TIER_DEPTHS;
/// Maximum node depth. This is also the bottom tier of the tree.
const MAX_DEPTH: u8 = super::TieredSmt::MAX_DEPTH;
// VALUE STORE
// ================================================================================================
/// A store for key-value pairs for a Tiered Sparse Merkle tree.
///
/// The store is organized in a [BTreeMap] where keys are 64 most significant bits of a key, and
/// the values are the corresponding key-value pairs (or a list of key-value pairs if more that
/// a single key-value pair shares the same 64-bit prefix).
///
/// The store supports lookup by the full key (i.e. [RpoDigest]) as well as by the 64-bit key
/// prefix.
#[derive(Debug, Default, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct ValueStore {
values: BTreeMap<u64, StoreEntry>,
}
impl ValueStore {
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns a reference to the value stored under the specified key, or None if there is no
/// value associated with the specified key.
pub fn get(&self, key: &RpoDigest) -> Option<&Word> {
let prefix = get_key_prefix(key);
self.values.get(&prefix).and_then(|entry| entry.get(key))
}
/// Returns the first key-value pair such that the key prefix is greater than or equal to the
/// specified prefix.
pub fn get_first(&self, prefix: u64) -> Option<&(RpoDigest, Word)> {
self.range(prefix..).next()
}
/// Returns the first key-value pair such that the key prefix is greater than or equal to the
/// specified prefix and the key value is not equal to the exclude_key value.
pub fn get_first_filtered(
&self,
prefix: u64,
exclude_key: &RpoDigest,
) -> Option<&(RpoDigest, Word)> {
self.range(prefix..).find(|(key, _)| key != exclude_key)
}
/// Returns a vector with key-value pairs for all keys with the specified 64-bit prefix, or
/// None if no keys with the specified prefix are present in this store.
pub fn get_all(&self, prefix: u64) -> Option<Vec<(RpoDigest, Word)>> {
self.values.get(&prefix).map(|entry| match entry {
StoreEntry::Single(kv_pair) => vec![*kv_pair],
StoreEntry::List(kv_pairs) => kv_pairs.clone(),
})
}
/// Returns information about a sibling of a leaf node with the specified index, but only if
/// this is the only sibling the leaf has in some subtree starting at the first tier.
///
/// For example, if `index` is an index at depth 32, and there is a leaf node at depth 32 with
/// the same root at depth 16 as `index`, we say that this leaf is a lone sibling.
///
/// The returned tuple contains: they key-value pair of the sibling as well as the index of
/// the node for the root of the common subtree in which both nodes are leaves.
///
/// This method assumes that the key-value pair for the specified index has already been
/// removed from the store.
pub fn get_lone_sibling(
&self,
index: LeafNodeIndex,
) -> Option<(&RpoDigest, &Word, LeafNodeIndex)> {
// iterate over tiers from top to bottom, looking at the tiers which are strictly above
// the depth of the index. This implies that only tiers at depth 32 and 48 will be
// considered. For each tier, check if the parent of the index at the higher tier
// contains a single node. The fist tier (depth 16) is excluded because we cannot move
// nodes at depth 16 to a higher tier. This implies that nodes at the first tier will
// never have "lone siblings".
for &tier_depth in TIER_DEPTHS.iter().filter(|&t| index.depth() > *t) {
// compute the index of the root at a higher tier
let mut parent_index = index;
parent_index.move_up_to(tier_depth);
// find the lone sibling, if any; we need to handle the "last node" at a given tier
// separately specify the bounds for the search correctly.
let start_prefix = parent_index.value() << (MAX_DEPTH - tier_depth);
let sibling = if start_prefix.leading_ones() as u8 == tier_depth {
let mut iter = self.range(start_prefix..);
iter.next().filter(|_| iter.next().is_none())
} else {
let end_prefix = (parent_index.value() + 1) << (MAX_DEPTH - tier_depth);
let mut iter = self.range(start_prefix..end_prefix);
iter.next().filter(|_| iter.next().is_none())
};
if let Some((key, value)) = sibling {
return Some((key, value, parent_index));
}
}
None
}
/// Returns an iterator over all key-value pairs in this store.
pub fn iter(&self) -> impl Iterator<Item = &(RpoDigest, Word)> {
self.values.iter().flat_map(|(_, entry)| entry.iter())
}
// STATE MUTATORS
// --------------------------------------------------------------------------------------------
/// Inserts the specified key-value pair into this store and returns the value previously
/// associated with the specified key.
///
/// If no value was previously associated with the specified key, None is returned.
pub fn insert(&mut self, key: RpoDigest, value: Word) -> Option<Word> {
let prefix = get_key_prefix(&key);
match self.values.entry(prefix) {
Entry::Occupied(mut entry) => entry.get_mut().insert(key, value),
Entry::Vacant(entry) => {
entry.insert(StoreEntry::new(key, value));
None
}
}
}
/// Removes the key-value pair for the specified key from this store and returns the value
/// associated with this key.
///
/// If no value was associated with the specified key, None is returned.
pub fn remove(&mut self, key: &RpoDigest) -> Option<Word> {
let prefix = get_key_prefix(key);
match self.values.entry(prefix) {
Entry::Occupied(mut entry) => {
let (value, remove_entry) = entry.get_mut().remove(key);
if remove_entry {
entry.remove_entry();
}
value
}
Entry::Vacant(_) => None,
}
}
// HELPER METHODS
// --------------------------------------------------------------------------------------------
/// Returns an iterator over all key-value pairs contained in this store such that the most
/// significant 64 bits of the key lay within the specified bounds.
///
/// The order of iteration is from the smallest to the largest key.
fn range<R: RangeBounds<u64>>(&self, bounds: R) -> impl Iterator<Item = &(RpoDigest, Word)> {
self.values.range(bounds).flat_map(|(_, entry)| entry.iter())
}
}
// VALUE NODE
// ================================================================================================
/// An entry in the [ValueStore].
///
/// An entry can contain either a single key-value pair or a vector of key-value pairs sorted by
/// key.
#[derive(Debug, Clone, PartialEq, Eq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub enum StoreEntry {
Single((RpoDigest, Word)),
List(Vec<(RpoDigest, Word)>),
}
impl StoreEntry {
// CONSTRUCTOR
// --------------------------------------------------------------------------------------------
/// Returns a new [StoreEntry] instantiated with a single key-value pair.
pub fn new(key: RpoDigest, value: Word) -> Self {
Self::Single((key, value))
}
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns the value associated with the specified key, or None if this entry does not contain
/// a value associated with the specified key.
pub fn get(&self, key: &RpoDigest) -> Option<&Word> {
match self {
StoreEntry::Single(kv_pair) => {
if kv_pair.0 == *key {
Some(&kv_pair.1)
} else {
None
}
}
StoreEntry::List(kv_pairs) => {
match kv_pairs.binary_search_by(|kv_pair| cmp_digests(&kv_pair.0, key)) {
Ok(pos) => Some(&kv_pairs[pos].1),
Err(_) => None,
}
}
}
}
/// Returns an iterator over all key-value pairs in this entry.
pub fn iter(&self) -> impl Iterator<Item = &(RpoDigest, Word)> {
EntryIterator { entry: self, pos: 0 }
}
// STATE MUTATORS
// --------------------------------------------------------------------------------------------
/// Inserts the specified key-value pair into this entry and returns the value previously
/// associated with the specified key, or None if no value was associated with the specified
/// key.
///
/// If a new key is inserted, this will also transform a `SingleEntry` into a `ListEntry`.
pub fn insert(&mut self, key: RpoDigest, value: Word) -> Option<Word> {
match self {
StoreEntry::Single(kv_pair) => {
// if the key is already in this entry, update the value and return
if kv_pair.0 == key {
let old_value = kv_pair.1;
kv_pair.1 = value;
return Some(old_value);
}
// transform the entry into a list entry, and make sure the key-value pairs
// are sorted by key
let mut pairs = vec![*kv_pair, (key, value)];
pairs.sort_by(|a, b| cmp_digests(&a.0, &b.0));
*self = StoreEntry::List(pairs);
None
}
StoreEntry::List(pairs) => {
match pairs.binary_search_by(|kv_pair| cmp_digests(&kv_pair.0, &key)) {
Ok(pos) => {
let old_value = pairs[pos].1;
pairs[pos].1 = value;
Some(old_value)
}
Err(pos) => {
pairs.insert(pos, (key, value));
None
}
}
}
}
}
/// Removes the key-value pair with the specified key from this entry, and returns the value
/// of the removed pair. If the entry did not contain a key-value pair for the specified key,
/// None is returned.
///
/// If the last last key-value pair was removed from the entry, the second tuple value will
/// be set to true.
pub fn remove(&mut self, key: &RpoDigest) -> (Option<Word>, bool) {
match self {
StoreEntry::Single(kv_pair) => {
if kv_pair.0 == *key {
(Some(kv_pair.1), true)
} else {
(None, false)
}
}
StoreEntry::List(kv_pairs) => {
match kv_pairs.binary_search_by(|kv_pair| cmp_digests(&kv_pair.0, key)) {
Ok(pos) => {
let kv_pair = kv_pairs.remove(pos);
if kv_pairs.len() == 1 {
*self = StoreEntry::Single(kv_pairs[0]);
}
(Some(kv_pair.1), false)
}
Err(_) => (None, false),
}
}
}
}
}
/// A custom iterator over key-value pairs of a [StoreEntry].
///
/// For a `SingleEntry` this returns only one value, but for `ListEntry`, this iterates over the
/// entire list of key-value pairs.
pub struct EntryIterator<'a> {
entry: &'a StoreEntry,
pos: usize,
}
impl<'a> Iterator for EntryIterator<'a> {
type Item = &'a (RpoDigest, Word);
fn next(&mut self) -> Option<Self::Item> {
match self.entry {
StoreEntry::Single(kv_pair) => {
if self.pos == 0 {
self.pos = 1;
Some(kv_pair)
} else {
None
}
}
StoreEntry::List(kv_pairs) => {
if self.pos >= kv_pairs.len() {
None
} else {
let kv_pair = &kv_pairs[self.pos];
self.pos += 1;
Some(kv_pair)
}
}
}
}
}
// HELPER FUNCTIONS
// ================================================================================================
/// Compares two digests element-by-element using their integer representations starting with the
/// most significant element.
fn cmp_digests(d1: &RpoDigest, d2: &RpoDigest) -> Ordering {
let d1 = Word::from(d1);
let d2 = Word::from(d2);
for (v1, v2) in d1.iter().zip(d2.iter()).rev() {
let v1 = v1.as_int();
let v2 = v2.as_int();
if v1 != v2 {
return v1.cmp(&v2);
}
}
Ordering::Equal
}
// TESTS
// ================================================================================================
#[cfg(test)]
mod tests {
use super::{LeafNodeIndex, RpoDigest, StoreEntry, ValueStore};
use crate::{Felt, ONE, WORD_SIZE, ZERO};
#[test]
fn test_insert() {
let mut store = ValueStore::default();
// insert the first key-value pair into the store
let raw_a = 0b_10101010_10101010_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_a = RpoDigest::from([ZERO, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE; WORD_SIZE];
assert!(store.insert(key_a, value_a).is_none());
assert_eq!(store.values.len(), 1);
let entry = store.values.get(&raw_a).unwrap();
let expected_entry = StoreEntry::Single((key_a, value_a));
assert_eq!(entry, &expected_entry);
// insert a key-value pair with a different key into the store; since the keys are
// different, another entry is added to the values map
let raw_b = 0b_11111110_10101010_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_b = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_b)]);
let value_b = [ONE, ZERO, ONE, ZERO];
assert!(store.insert(key_b, value_b).is_none());
assert_eq!(store.values.len(), 2);
let entry1 = store.values.get(&raw_a).unwrap();
let expected_entry1 = StoreEntry::Single((key_a, value_a));
assert_eq!(entry1, &expected_entry1);
let entry2 = store.values.get(&raw_b).unwrap();
let expected_entry2 = StoreEntry::Single((key_b, value_b));
assert_eq!(entry2, &expected_entry2);
// insert a key-value pair with the same 64-bit key prefix as the first key; this should
// transform the first entry into a List entry
let key_c = RpoDigest::from([ONE, ONE, ZERO, Felt::new(raw_a)]);
let value_c = [ONE, ONE, ZERO, ZERO];
assert!(store.insert(key_c, value_c).is_none());
assert_eq!(store.values.len(), 2);
let entry1 = store.values.get(&raw_a).unwrap();
let expected_entry1 = StoreEntry::List(vec![(key_c, value_c), (key_a, value_a)]);
assert_eq!(entry1, &expected_entry1);
let entry2 = store.values.get(&raw_b).unwrap();
let expected_entry2 = StoreEntry::Single((key_b, value_b));
assert_eq!(entry2, &expected_entry2);
// replace values for keys a and b
let value_a2 = [ONE, ONE, ONE, ZERO];
let value_b2 = [ZERO, ZERO, ZERO, ONE];
assert_eq!(store.insert(key_a, value_a2), Some(value_a));
assert_eq!(store.values.len(), 2);
assert_eq!(store.insert(key_b, value_b2), Some(value_b));
assert_eq!(store.values.len(), 2);
let entry1 = store.values.get(&raw_a).unwrap();
let expected_entry1 = StoreEntry::List(vec![(key_c, value_c), (key_a, value_a2)]);
assert_eq!(entry1, &expected_entry1);
let entry2 = store.values.get(&raw_b).unwrap();
let expected_entry2 = StoreEntry::Single((key_b, value_b2));
assert_eq!(entry2, &expected_entry2);
// insert one more key-value pair with the same 64-bit key-prefix as the first key
let key_d = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_a)]);
let value_d = [ZERO, ONE, ZERO, ZERO];
assert!(store.insert(key_d, value_d).is_none());
assert_eq!(store.values.len(), 2);
let entry1 = store.values.get(&raw_a).unwrap();
let expected_entry1 =
StoreEntry::List(vec![(key_c, value_c), (key_a, value_a2), (key_d, value_d)]);
assert_eq!(entry1, &expected_entry1);
let entry2 = store.values.get(&raw_b).unwrap();
let expected_entry2 = StoreEntry::Single((key_b, value_b2));
assert_eq!(entry2, &expected_entry2);
}
#[test]
fn test_remove() {
// populate the value store
let mut store = ValueStore::default();
let raw_a = 0b_10101010_10101010_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_a = RpoDigest::from([ZERO, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE; WORD_SIZE];
store.insert(key_a, value_a);
let raw_b = 0b_11111110_10101010_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_b = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_b)]);
let value_b = [ONE, ZERO, ONE, ZERO];
store.insert(key_b, value_b);
let key_c = RpoDigest::from([ONE, ONE, ZERO, Felt::new(raw_a)]);
let value_c = [ONE, ONE, ZERO, ZERO];
store.insert(key_c, value_c);
let key_d = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_a)]);
let value_d = [ZERO, ONE, ZERO, ZERO];
store.insert(key_d, value_d);
assert_eq!(store.values.len(), 2);
let entry1 = store.values.get(&raw_a).unwrap();
let expected_entry1 =
StoreEntry::List(vec![(key_c, value_c), (key_a, value_a), (key_d, value_d)]);
assert_eq!(entry1, &expected_entry1);
let entry2 = store.values.get(&raw_b).unwrap();
let expected_entry2 = StoreEntry::Single((key_b, value_b));
assert_eq!(entry2, &expected_entry2);
// remove non-existent keys
let key_e = RpoDigest::from([ZERO, ZERO, ONE, Felt::new(raw_a)]);
assert!(store.remove(&key_e).is_none());
let raw_f = 0b_11111110_11111111_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_f = RpoDigest::from([ZERO, ZERO, ONE, Felt::new(raw_f)]);
assert!(store.remove(&key_f).is_none());
// remove keys from the list entry
assert_eq!(store.remove(&key_c).unwrap(), value_c);
let entry1 = store.values.get(&raw_a).unwrap();
let expected_entry1 = StoreEntry::List(vec![(key_a, value_a), (key_d, value_d)]);
assert_eq!(entry1, &expected_entry1);
assert_eq!(store.remove(&key_a).unwrap(), value_a);
let entry1 = store.values.get(&raw_a).unwrap();
let expected_entry1 = StoreEntry::Single((key_d, value_d));
assert_eq!(entry1, &expected_entry1);
assert_eq!(store.remove(&key_d).unwrap(), value_d);
assert!(store.values.get(&raw_a).is_none());
assert_eq!(store.values.len(), 1);
// remove a key from a single entry
assert_eq!(store.remove(&key_b).unwrap(), value_b);
assert!(store.values.get(&raw_b).is_none());
assert_eq!(store.values.len(), 0);
}
#[test]
fn test_range() {
// populate the value store
let mut store = ValueStore::default();
let raw_a = 0b_10101010_10101010_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_a = RpoDigest::from([ZERO, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE; WORD_SIZE];
store.insert(key_a, value_a);
let raw_b = 0b_11111110_10101010_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_b = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_b)]);
let value_b = [ONE, ZERO, ONE, ZERO];
store.insert(key_b, value_b);
let key_c = RpoDigest::from([ONE, ONE, ZERO, Felt::new(raw_a)]);
let value_c = [ONE, ONE, ZERO, ZERO];
store.insert(key_c, value_c);
let key_d = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_a)]);
let value_d = [ZERO, ONE, ZERO, ZERO];
store.insert(key_d, value_d);
let raw_e = 0b_10101000_10101010_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_e = RpoDigest::from([ZERO, ONE, ONE, Felt::new(raw_e)]);
let value_e = [ZERO, ZERO, ZERO, ONE];
store.insert(key_e, value_e);
// check the entire range
let mut iter = store.range(..u64::MAX);
assert_eq!(iter.next(), Some(&(key_e, value_e)));
assert_eq!(iter.next(), Some(&(key_c, value_c)));
assert_eq!(iter.next(), Some(&(key_a, value_a)));
assert_eq!(iter.next(), Some(&(key_d, value_d)));
assert_eq!(iter.next(), Some(&(key_b, value_b)));
assert_eq!(iter.next(), None);
// check all but e
let mut iter = store.range(raw_a..u64::MAX);
assert_eq!(iter.next(), Some(&(key_c, value_c)));
assert_eq!(iter.next(), Some(&(key_a, value_a)));
assert_eq!(iter.next(), Some(&(key_d, value_d)));
assert_eq!(iter.next(), Some(&(key_b, value_b)));
assert_eq!(iter.next(), None);
// check all but e and b
let mut iter = store.range(raw_a..raw_b);
assert_eq!(iter.next(), Some(&(key_c, value_c)));
assert_eq!(iter.next(), Some(&(key_a, value_a)));
assert_eq!(iter.next(), Some(&(key_d, value_d)));
assert_eq!(iter.next(), None);
}
#[test]
fn test_get_lone_sibling() {
// populate the value store
let mut store = ValueStore::default();
let raw_a = 0b_10101010_10101010_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_a = RpoDigest::from([ZERO, ONE, ONE, Felt::new(raw_a)]);
let value_a = [ONE; WORD_SIZE];
store.insert(key_a, value_a);
let raw_b = 0b_11111111_11111111_00011111_11111111_10010110_10010011_11100000_00000000_u64;
let key_b = RpoDigest::from([ONE, ONE, ONE, Felt::new(raw_b)]);
let value_b = [ONE, ZERO, ONE, ZERO];
store.insert(key_b, value_b);
// check sibling node for `a`
let index = LeafNodeIndex::make(32, 0b_10101010_10101010_00011111_11111110);
let parent_index = LeafNodeIndex::make(16, 0b_10101010_10101010);
assert_eq!(store.get_lone_sibling(index), Some((&key_a, &value_a, parent_index)));
// check sibling node for `b`
let index = LeafNodeIndex::make(32, 0b_11111111_11111111_00011111_11111111);
let parent_index = LeafNodeIndex::make(16, 0b_11111111_11111111);
assert_eq!(store.get_lone_sibling(index), Some((&key_b, &value_b, parent_index)));
// check some other sibling for some other index
let index = LeafNodeIndex::make(32, 0b_11101010_10101010);
assert_eq!(store.get_lone_sibling(index), None);
}
}

19
src/rand/mod.rs Normal file
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//! Pseudo-random element generation.
pub use winter_crypto::{DefaultRandomCoin as WinterRandomCoin, RandomCoin, RandomCoinError};
use crate::{Felt, FieldElement, StarkField, Word, ZERO};
mod rpo;
pub use rpo::RpoRandomCoin;
/// Pseudo-random element generator.
///
/// An instance can be used to draw, uniformly at random, base field elements as well as [Word]s.
pub trait FeltRng {
/// Draw, uniformly at random, a base field element.
fn draw_element(&mut self) -> Felt;
/// Draw, uniformly at random, a [Word].
fn draw_word(&mut self) -> Word;
}

267
src/rand/rpo.rs Normal file
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use super::{Felt, FeltRng, FieldElement, StarkField, Word, ZERO};
use crate::{
hash::rpo::{Rpo256, RpoDigest},
utils::{
collections::Vec, string::ToString, vec, ByteReader, ByteWriter, Deserializable,
DeserializationError, Serializable,
},
};
pub use winter_crypto::{RandomCoin, RandomCoinError};
// CONSTANTS
// ================================================================================================
const STATE_WIDTH: usize = Rpo256::STATE_WIDTH;
const RATE_START: usize = Rpo256::RATE_RANGE.start;
const RATE_END: usize = Rpo256::RATE_RANGE.end;
const HALF_RATE_WIDTH: usize = (Rpo256::RATE_RANGE.end - Rpo256::RATE_RANGE.start) / 2;
// RPO RANDOM COIN
// ================================================================================================
/// A simplified version of the `SPONGE_PRG` reseedable pseudo-random number generator algorithm
/// described in https://eprint.iacr.org/2011/499.pdf.
///
/// The simplification is related to the following facts:
/// 1. A call to the reseed method implies one and only one call to the permutation function.
/// This is possible because in our case we never reseed with more than 4 field elements.
/// 2. As a result of the previous point, we don't make use of an input buffer to accumulate seed
/// material.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub struct RpoRandomCoin {
state: [Felt; STATE_WIDTH],
current: usize,
}
impl RpoRandomCoin {
/// Returns a new [RpoRandomCoin] initialize with the specified seed.
pub fn new(seed: Word) -> Self {
let mut state = [ZERO; STATE_WIDTH];
for i in 0..HALF_RATE_WIDTH {
state[RATE_START + i] += seed[i];
}
// Absorb
Rpo256::apply_permutation(&mut state);
RpoRandomCoin { state, current: RATE_START }
}
/// Returns an [RpoRandomCoin] instantiated from the provided components.
///
/// # Panics
/// Panics if `current` is smaller than 4 or greater than or equal to 12.
pub fn from_parts(state: [Felt; STATE_WIDTH], current: usize) -> Self {
assert!(
(RATE_START..RATE_END).contains(&current),
"current value outside of valid range"
);
Self { state, current }
}
/// Returns components of this random coin.
pub fn into_parts(self) -> ([Felt; STATE_WIDTH], usize) {
(self.state, self.current)
}
fn draw_basefield(&mut self) -> Felt {
if self.current == RATE_END {
Rpo256::apply_permutation(&mut self.state);
self.current = RATE_START;
}
self.current += 1;
self.state[self.current - 1]
}
}
// RANDOM COIN IMPLEMENTATION
// ------------------------------------------------------------------------------------------------
impl RandomCoin for RpoRandomCoin {
type BaseField = Felt;
type Hasher = Rpo256;
fn new(seed: &[Self::BaseField]) -> Self {
let digest: Word = Rpo256::hash_elements(seed).into();
Self::new(digest)
}
fn reseed(&mut self, data: RpoDigest) {
// Reset buffer
self.current = RATE_START;
// Add the new seed material to the first half of the rate portion of the RPO state
let data: Word = data.into();
self.state[RATE_START] += data[0];
self.state[RATE_START + 1] += data[1];
self.state[RATE_START + 2] += data[2];
self.state[RATE_START + 3] += data[3];
// Absorb
Rpo256::apply_permutation(&mut self.state);
}
fn check_leading_zeros(&self, value: u64) -> u32 {
let value = Felt::new(value);
let mut state_tmp = self.state;
state_tmp[RATE_START] += value;
Rpo256::apply_permutation(&mut state_tmp);
let first_rate_element = state_tmp[RATE_START].as_int();
first_rate_element.trailing_zeros()
}
fn draw<E: FieldElement<BaseField = Felt>>(&mut self) -> Result<E, RandomCoinError> {
let ext_degree = E::EXTENSION_DEGREE;
let mut result = vec![ZERO; ext_degree];
for r in result.iter_mut().take(ext_degree) {
*r = self.draw_basefield();
}
let result = E::slice_from_base_elements(&result);
Ok(result[0])
}
fn draw_integers(
&mut self,
num_values: usize,
domain_size: usize,
nonce: u64,
) -> Result<Vec<usize>, RandomCoinError> {
assert!(domain_size.is_power_of_two(), "domain size must be a power of two");
assert!(num_values < domain_size, "number of values must be smaller than domain size");
// absorb the nonce
let nonce = Felt::new(nonce);
self.state[RATE_START] += nonce;
Rpo256::apply_permutation(&mut self.state);
// reset the buffer
self.current = RATE_START;
// determine how many bits are needed to represent valid values in the domain
let v_mask = (domain_size - 1) as u64;
// draw values from PRNG until we get as many unique values as specified by num_queries
let mut values = Vec::new();
for _ in 0..1000 {
// get the next pseudo-random field element
let value = self.draw_basefield().as_int();
// use the mask to get a value within the range
let value = (value & v_mask) as usize;
values.push(value);
if values.len() == num_values {
break;
}
}
if values.len() < num_values {
return Err(RandomCoinError::FailedToDrawIntegers(num_values, values.len(), 1000));
}
Ok(values)
}
}
// FELT RNG IMPLEMENTATION
// ------------------------------------------------------------------------------------------------
impl FeltRng for RpoRandomCoin {
fn draw_element(&mut self) -> Felt {
self.draw_basefield()
}
fn draw_word(&mut self) -> Word {
let mut output = [ZERO; 4];
for o in output.iter_mut() {
*o = self.draw_basefield();
}
output
}
}
// SERIALIZATION
// ------------------------------------------------------------------------------------------------
impl Serializable for RpoRandomCoin {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
self.state.iter().for_each(|v| v.write_into(target));
// casting to u8 is OK because `current` is always between 4 and 12.
target.write_u8(self.current as u8);
}
}
impl Deserializable for RpoRandomCoin {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let state = [
Felt::read_from(source)?,
Felt::read_from(source)?,
Felt::read_from(source)?,
Felt::read_from(source)?,
Felt::read_from(source)?,
Felt::read_from(source)?,
Felt::read_from(source)?,
Felt::read_from(source)?,
Felt::read_from(source)?,
Felt::read_from(source)?,
Felt::read_from(source)?,
Felt::read_from(source)?,
];
let current = source.read_u8()? as usize;
if !(RATE_START..RATE_END).contains(&current) {
return Err(DeserializationError::InvalidValue(
"current value outside of valid range".to_string(),
));
}
Ok(Self { state, current })
}
}
// TESTS
// ================================================================================================
#[cfg(test)]
mod tests {
use super::{Deserializable, FeltRng, RpoRandomCoin, Serializable, ZERO};
use crate::ONE;
#[test]
fn test_feltrng_felt() {
let mut rpocoin = RpoRandomCoin::new([ZERO; 4]);
let output = rpocoin.draw_element();
let mut rpocoin = RpoRandomCoin::new([ZERO; 4]);
let expected = rpocoin.draw_basefield();
assert_eq!(output, expected);
}
#[test]
fn test_feltrng_word() {
let mut rpocoin = RpoRandomCoin::new([ZERO; 4]);
let output = rpocoin.draw_word();
let mut rpocoin = RpoRandomCoin::new([ZERO; 4]);
let mut expected = [ZERO; 4];
for o in expected.iter_mut() {
*o = rpocoin.draw_basefield();
}
assert_eq!(output, expected);
}
#[test]
fn test_feltrng_serialization() {
let coin1 = RpoRandomCoin::from_parts([ONE; 12], 5);
let bytes = coin1.to_bytes();
let coin2 = RpoRandomCoin::read_from_bytes(&bytes).unwrap();
assert_eq!(coin1, coin2);
}
}

31
src/utils/diff.rs Normal file
View File

@@ -0,0 +1,31 @@
/// A trait for computing the difference between two objects.
pub trait Diff<K: Ord + Clone, V: Clone> {
/// The type that describes the difference between two objects.
type DiffType;
/// Returns a [Self::DiffType] object that represents the difference between this object and
/// other.
fn diff(&self, other: &Self) -> Self::DiffType;
}
/// A trait for applying the difference between two objects.
pub trait ApplyDiff<K: Ord + Clone, V: Clone> {
/// The type that describes the difference between two objects.
type DiffType;
/// Applies the provided changes described by [Self::DiffType] to the object implementing this trait.
fn apply(&mut self, diff: Self::DiffType);
}
/// A trait for applying the difference between two objects with the possibility of failure.
pub trait TryApplyDiff<K: Ord + Clone, V: Clone> {
/// The type that describes the difference between two objects.
type DiffType;
/// An error type that can be returned if the changes cannot be applied.
type Error;
/// Applies the provided changes described by [Self::DiffType] to the object implementing this trait.
/// Returns an error if the changes cannot be applied.
fn try_apply(&mut self, diff: Self::DiffType) -> Result<(), Self::Error>;
}

View File

@@ -1,3 +1,4 @@
use super::{collections::ApplyDiff, diff::Diff};
use core::cell::RefCell; use core::cell::RefCell;
use winter_utils::{ use winter_utils::{
collections::{btree_map::IntoIter, BTreeMap, BTreeSet}, collections::{btree_map::IntoIter, BTreeMap, BTreeSet},
@@ -18,6 +19,7 @@ pub trait KvMap<K: Ord + Clone, V: Clone>:
self.len() == 0 self.len() == 0
} }
fn insert(&mut self, key: K, value: V) -> Option<V>; fn insert(&mut self, key: K, value: V) -> Option<V>;
fn remove(&mut self, key: &K) -> Option<V>;
fn iter(&self) -> Box<dyn Iterator<Item = (&K, &V)> + '_>; fn iter(&self) -> Box<dyn Iterator<Item = (&K, &V)> + '_>;
} }
@@ -42,6 +44,10 @@ impl<K: Ord + Clone, V: Clone> KvMap<K, V> for BTreeMap<K, V> {
self.insert(key, value) self.insert(key, value)
} }
fn remove(&mut self, key: &K) -> Option<V> {
self.remove(key)
}
fn iter(&self) -> Box<dyn Iterator<Item = (&K, &V)> + '_> { fn iter(&self) -> Box<dyn Iterator<Item = (&K, &V)> + '_> {
Box::new(self.iter()) Box::new(self.iter())
} }
@@ -56,8 +62,9 @@ impl<K: Ord + Clone, V: Clone> KvMap<K, V> for BTreeMap<K, V> {
/// ///
/// The [RecordingMap] is composed of three parts: /// The [RecordingMap] is composed of three parts:
/// - `data`: which contains the current set of key-value pairs in the map. /// - `data`: which contains the current set of key-value pairs in the map.
/// - `updates`: which tracks keys for which values have been since the map was instantiated. /// - `updates`: which tracks keys for which values have been changed since the map was
/// updates include both insertions and updates of values under existing keys. /// instantiated. updates include both insertions, removals and updates of values under existing
/// keys.
/// - `trace`: which contains the key-value pairs from the original data which have been accesses /// - `trace`: which contains the key-value pairs from the original data which have been accesses
/// since the map was instantiated. /// since the map was instantiated.
#[derive(Debug, Default, Clone, Eq, PartialEq)] #[derive(Debug, Default, Clone, Eq, PartialEq)]
@@ -80,13 +87,22 @@ impl<K: Ord + Clone, V: Clone> RecordingMap<K, V> {
} }
} }
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
pub fn inner(&self) -> &BTreeMap<K, V> {
&self.data
}
// FINALIZER // FINALIZER
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
/// Consumes the [RecordingMap] and returns a [BTreeMap] containing the key-value pairs from /// Consumes the [RecordingMap] and returns a ([BTreeMap], [BTreeMap]) tuple. The first
/// the initial data set that were read during recording. /// element of the tuple is a map that represents the state of the map at the time `.finalize()`
pub fn into_proof(self) -> BTreeMap<K, V> { /// is called. The second element contains the key-value pairs from the initial data set that
self.trace.take() /// were read during recording.
pub fn finalize(self) -> (BTreeMap<K, V>, BTreeMap<K, V>) {
(self.data, self.trace.take())
} }
// TEST HELPERS // TEST HELPERS
@@ -148,6 +164,19 @@ impl<K: Ord + Clone, V: Clone> KvMap<K, V> for RecordingMap<K, V> {
}) })
} }
/// Removes a key-value pair from the data set.
///
/// If the key exists in the data set, the old value is returned.
fn remove(&mut self, key: &K) -> Option<V> {
self.data.remove(key).map(|old_value| {
let new_update = self.updates.insert(key.clone());
if new_update {
self.trace.borrow_mut().insert(key.clone(), old_value.clone());
}
old_value
})
}
// ITERATION // ITERATION
// -------------------------------------------------------------------------------------------- // --------------------------------------------------------------------------------------------
@@ -180,6 +209,74 @@ impl<K: Clone + Ord, V: Clone> IntoIterator for RecordingMap<K, V> {
} }
} }
// KV MAP DIFF
// ================================================================================================
/// [KvMapDiff] stores the difference between two key-value maps.
///
/// The [KvMapDiff] is composed of two parts:
/// - `updates` - a map of key-value pairs that were updated in the second map compared to the
/// first map. This includes new key-value pairs.
/// - `removed` - a set of keys that were removed from the second map compared to the first map.
#[derive(Debug, Clone)]
pub struct KvMapDiff<K, V> {
pub updated: BTreeMap<K, V>,
pub removed: BTreeSet<K>,
}
impl<K, V> KvMapDiff<K, V> {
// CONSTRUCTOR
// --------------------------------------------------------------------------------------------
/// Creates a new [KvMapDiff] instance.
pub fn new() -> Self {
KvMapDiff {
updated: BTreeMap::new(),
removed: BTreeSet::new(),
}
}
}
impl<K, V> Default for KvMapDiff<K, V> {
fn default() -> Self {
Self::new()
}
}
impl<K: Ord + Clone, V: Clone + PartialEq, T: KvMap<K, V>> Diff<K, V> for T {
type DiffType = KvMapDiff<K, V>;
fn diff(&self, other: &T) -> Self::DiffType {
let mut diff = KvMapDiff::default();
for (k, v) in self.iter() {
if let Some(other_value) = other.get(k) {
if v != other_value {
diff.updated.insert(k.clone(), other_value.clone());
}
} else {
diff.removed.insert(k.clone());
}
}
for (k, v) in other.iter() {
if self.get(k).is_none() {
diff.updated.insert(k.clone(), v.clone());
}
}
diff
}
}
impl<K: Ord + Clone, V: Clone, T: KvMap<K, V>> ApplyDiff<K, V> for T {
type DiffType = KvMapDiff<K, V>;
fn apply(&mut self, diff: Self::DiffType) {
for (k, v) in diff.updated {
self.insert(k, v);
}
for k in diff.removed {
self.remove(&k);
}
}
}
// TESTS // TESTS
// ================================================================================================ // ================================================================================================
@@ -201,7 +298,7 @@ mod tests {
} }
// convert the map into a proof // convert the map into a proof
let proof = map.into_proof(); let (_, proof) = map.finalize();
// check that the proof contains the expected values // check that the proof contains the expected values
for (key, value) in ITEMS.iter() { for (key, value) in ITEMS.iter() {
@@ -224,13 +321,13 @@ mod tests {
} }
// convert the map into a proof // convert the map into a proof
let proof = map.into_proof(); let (_, proof) = map.finalize();
// check that the proof contains the expected values // check that the proof contains the expected values
for (key, _) in ITEMS.iter() { for (key, _) in ITEMS.iter() {
match get_items.contains(key) { match get_items.contains(key) {
true => assert_eq!(proof.contains_key(key), true), true => assert!(proof.contains_key(key)),
false => assert_eq!(proof.contains_key(key), false), false => assert!(!proof.contains_key(key)),
} }
} }
} }
@@ -288,7 +385,7 @@ mod tests {
// Note: The length reported by the proof will be different to the length originally // Note: The length reported by the proof will be different to the length originally
// reported by the map. // reported by the map.
let proof = map.into_proof(); let (_, proof) = map.finalize();
// length of the proof should be equal to get_items + 1. The extra item is the original // length of the proof should be equal to get_items + 1. The extra item is the original
// value at key = 4u64 // value at key = 4u64
@@ -321,4 +418,87 @@ mod tests {
let map = RecordingMap::new(ITEMS.to_vec()); let map = RecordingMap::new(ITEMS.to_vec());
assert!(!map.is_empty()); assert!(!map.is_empty());
} }
#[test]
fn test_remove() {
let mut map = RecordingMap::new(ITEMS.to_vec());
// remove an item that exists
let key = 0;
let value = map.remove(&key).unwrap();
assert_eq!(value, ITEMS[0].1);
assert_eq!(map.len(), ITEMS.len() - 1);
assert_eq!(map.trace_len(), 1);
assert_eq!(map.updates_len(), 1);
// add the item back and then remove it again
let key = 0;
let value = 0;
map.insert(key, value);
let value = map.remove(&key).unwrap();
assert_eq!(value, 0);
assert_eq!(map.len(), ITEMS.len() - 1);
assert_eq!(map.trace_len(), 1);
assert_eq!(map.updates_len(), 1);
// remove an item that does not exist
let key = 100;
let value = map.remove(&key);
assert_eq!(value, None);
assert_eq!(map.len(), ITEMS.len() - 1);
assert_eq!(map.trace_len(), 1);
assert_eq!(map.updates_len(), 1);
// insert a new item and then remove it
let key = 100;
let value = 100;
map.insert(key, value);
let value = map.remove(&key).unwrap();
assert_eq!(value, 100);
assert_eq!(map.len(), ITEMS.len() - 1);
assert_eq!(map.trace_len(), 1);
assert_eq!(map.updates_len(), 2);
// convert the map into a proof
let (_, proof) = map.finalize();
// check that the proof contains the expected values
for (key, value) in ITEMS.iter() {
match key {
0 => assert_eq!(proof.get(key), Some(value)),
_ => assert_eq!(proof.get(key), None),
}
}
}
#[test]
fn test_kv_map_diff() {
let mut initial_state = ITEMS.into_iter().collect::<BTreeMap<_, _>>();
let mut map = RecordingMap::new(initial_state.clone());
// remove an item that exists
let key = 0;
let _value = map.remove(&key).unwrap();
// add a new item
let key = 100;
let value = 100;
map.insert(key, value);
// update an existing item
let key = 1;
let value = 100;
map.insert(key, value);
// compute a diff
let diff = initial_state.diff(map.inner());
assert!(diff.updated.len() == 2);
assert!(diff.updated.iter().all(|(k, v)| [(100, 100), (1, 100)].contains(&(*k, *v))));
assert!(diff.removed.len() == 1);
assert!(diff.removed.first() == Some(&0));
// apply the diff to the initial state and assert the contents are the same as the map
initial_state.apply(diff);
assert!(initial_state.iter().eq(map.iter()));
}
} }

View File

@@ -1,12 +1,15 @@
//! Utilities used in this crate which can also be generally useful downstream.
use super::{utils::string::String, Word}; use super::{utils::string::String, Word};
use core::fmt::{self, Write}; use core::fmt::{self, Display, Write};
#[cfg(not(feature = "std"))] #[cfg(not(feature = "std"))]
pub use alloc::format; pub use alloc::{format, vec};
#[cfg(feature = "std")] #[cfg(feature = "std")]
pub use std::format; pub use std::{format, vec};
mod diff;
mod kv_map; mod kv_map;
// RE-EXPORTS // RE-EXPORTS
@@ -17,6 +20,7 @@ pub use winter_utils::{
}; };
pub mod collections { pub mod collections {
pub use super::diff::*;
pub use super::kv_map::*; pub use super::kv_map::*;
pub use winter_utils::collections::*; pub use winter_utils::collections::*;
} }
@@ -34,3 +38,76 @@ pub fn word_to_hex(w: &Word) -> Result<String, fmt::Error> {
Ok(s) Ok(s)
} }
/// Renders an array of bytes as hex into a String.
pub fn bytes_to_hex_string<const N: usize>(data: [u8; N]) -> String {
let mut s = String::with_capacity(N + 2);
s.push_str("0x");
for byte in data.iter() {
write!(s, "{byte:02x}").expect("formatting hex failed");
}
s
}
/// Defines errors which can occur during parsing of hexadecimal strings.
#[derive(Debug)]
pub enum HexParseError {
InvalidLength { expected: usize, actual: usize },
MissingPrefix,
InvalidChar,
OutOfRange,
}
impl Display for HexParseError {
fn fmt(&self, f: &mut core::fmt::Formatter<'_>) -> core::fmt::Result {
match self {
HexParseError::InvalidLength { expected, actual } => {
write!(f, "Hex encoded RpoDigest must have length 66, including the 0x prefix. expected {expected} got {actual}")
}
HexParseError::MissingPrefix => {
write!(f, "Hex encoded RpoDigest must start with 0x prefix")
}
HexParseError::InvalidChar => {
write!(f, "Hex encoded RpoDigest must contain characters [a-zA-Z0-9]")
}
HexParseError::OutOfRange => {
write!(f, "Hex encoded values of an RpoDigest must be inside the field modulus")
}
}
}
}
#[cfg(feature = "std")]
impl std::error::Error for HexParseError {}
/// Parses a hex string into an array of bytes of known size.
pub fn hex_to_bytes<const N: usize>(value: &str) -> Result<[u8; N], HexParseError> {
let expected: usize = (N * 2) + 2;
if value.len() != expected {
return Err(HexParseError::InvalidLength { expected, actual: value.len() });
}
if !value.starts_with("0x") {
return Err(HexParseError::MissingPrefix);
}
let mut data = value.bytes().skip(2).map(|v| match v {
b'0'..=b'9' => Ok(v - b'0'),
b'a'..=b'f' => Ok(v - b'a' + 10),
b'A'..=b'F' => Ok(v - b'A' + 10),
_ => Err(HexParseError::InvalidChar),
});
let mut decoded = [0u8; N];
#[allow(clippy::needless_range_loop)]
for pos in 0..N {
// These `unwrap` calls are okay because the length was checked above
let high: u8 = data.next().unwrap()?;
let low: u8 = data.next().unwrap()?;
decoded[pos] = (high << 4) + low;
}
Ok(decoded)
}