From f17cfff06eb68197e1ddd49e2513df69646afd7e Mon Sep 17 00:00:00 2001 From: Alexandre Careil Date: Mon, 27 Oct 2025 12:55:36 +0100 Subject: [PATCH 01/11] fix docker file --- Dockerfile.server | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/Dockerfile.server b/Dockerfile.server index 871636e..760dd7a 100644 --- a/Dockerfile.server +++ b/Dockerfile.server @@ -7,8 +7,11 @@ RUN if ! /root/.sp1/bin/cargo-prove prove -V 2>/dev/null | grep -q "38f0f14"; th fi WORKDIR /app -COPY .cargo .cargo COPY ./server ./server +COPY ./pkg ./pkg/ +COPY ./fixtures/ ./fixtures/ +COPY ./elf/ ./elf/ +COPY ./contracts/ ./contracts/ COPY Cargo.toml . COPY Cargo.lock . From 8b822026125990ee0797a8eb239e39d5e40d22c3 Mon Sep 17 00:00:00 2001 From: Alexandre Careil Date: Mon, 27 Oct 2025 13:02:44 +0100 Subject: [PATCH 02/11] add CI/missing elf folder/docker front --- .github/workflows/ci.yml | 59 ++++++++++++++++++++ .github/workflows/docker.yml | 103 +++++++++++++++++++++++++++++++++++ Dockerfile.ui | 21 +++++++ elf/hyli-utxo-state | Bin 0 -> 289300 bytes elf/hyli-utxo-state_vk | 1 + 5 files changed, 184 insertions(+) create mode 100644 .github/workflows/ci.yml create mode 100644 .github/workflows/docker.yml create mode 100644 Dockerfile.ui create mode 100755 elf/hyli-utxo-state create mode 100644 elf/hyli-utxo-state_vk diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..4085eca --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,59 @@ +name: CI + +on: + push: + branches: + - main + pull_request: + branches: + - main + workflow_dispatch: + +jobs: + rust: + name: Rust Checks + runs-on: ubuntu-latest + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Install Rust toolchain + uses: dtolnay/rust-toolchain@stable + with: + components: clippy, rustfmt + + - name: Cache cargo build artifacts + uses: Swatinem/rust-cache@v2 + with: + cache-on-failure: true + + - name: Run cargo fmt + run: cargo fmt --all -- --check + + - name: Run cargo clippy + run: cargo clippy --workspace --all-targets -- -D warnings + + - name: Run cargo test + run: cargo test --workspace --all-targets + + frontend: + name: Frontend Build + runs-on: ubuntu-latest + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Bun + uses: oven-sh/setup-bun@v1 + with: + bun-version: latest + + - name: Install dependencies + working-directory: front + run: bun install --frozen-lockfile + + - name: Build frontend + working-directory: front + run: bun run build diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml new file mode 100644 index 0000000..5239efd --- /dev/null +++ b/.github/workflows/docker.yml @@ -0,0 +1,103 @@ +name: Docker + +on: + push: + branches: + - "releases/**" + tags: + - "*" + workflow_dispatch: + inputs: + build_server: + description: "Build server image" + type: boolean + default: true + build_ui: + description: "Build ui image" + type: boolean + default: true + +env: + IMAGE_NAME: "zfruit" + PROJECT_ID: "hyle-413414" + AR_REPO_LOCATION: "europe-west3" + AR_URL: "europe-west3-docker.pkg.dev/hyle-413414/hyle-docker" + SERVICE_ACCOUNT: "github-actions-service-account@hyle-413414.iam.gserviceaccount.com" + WORKLOAD_IDENTITY_PROVIDER: "" + +jobs: + build_and_push: + permissions: + contents: "read" + id-token: "write" + packages: "write" + + runs-on: ubuntu-latest + strategy: + matrix: + suffix: + - server + - ui + + steps: + - name: Checkout + if: | + github.event_name == 'push' || + (matrix.suffix == 'server' && inputs.build_server) || + (matrix.suffix == 'ui' && inputs.build_ui) + uses: actions/checkout@v4 + + - name: Docker meta + if: | + github.event_name == 'push' || + (matrix.suffix == 'server' && inputs.build_server) || + (matrix.suffix == 'ui' && inputs.build_ui) + id: meta + uses: docker/metadata-action@v5 + with: + images: | + ${{ env.AR_URL }}/${{ env.IMAGE_NAME }}-${{ matrix.suffix }} + ghcr.io/${{ github.repository }}/${{ env.IMAGE_NAME }}-${{ matrix.suffix }} + tags: | + type=sha + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + type=semver,pattern={{major}} + type=ref,event=branch + type=ref,event=pr + type=raw,value=latest,enable={{is_default_branch}} + + - name: Docker Auth (Google Artifact Registry) + if: | + github.event_name == 'push' || + (matrix.suffix == 'server' && inputs.build_server) || + (matrix.suffix == 'ui' && inputs.build_ui) + uses: docker/login-action@v3 + with: + username: _json_key + password: ${{ secrets.GOOGLE_CREDENTIALS }} + registry: "${{ env.AR_REPO_LOCATION }}-docker.pkg.dev" + + - name: Login to GitHub Container Registry + if: | + github.event_name == 'push' || + (matrix.suffix == 'server' && inputs.build_server) || + (matrix.suffix == 'ui' && inputs.build_ui) + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push + if: | + github.event_name == 'push' || + (matrix.suffix == 'server' && inputs.build_server) || + (matrix.suffix == 'ui' && inputs.build_ui) + uses: docker/build-push-action@v6 + with: + push: true + context: . + file: Dockerfile.${{ matrix.suffix }} + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} diff --git a/Dockerfile.ui b/Dockerfile.ui new file mode 100644 index 0000000..5b16b6a --- /dev/null +++ b/Dockerfile.ui @@ -0,0 +1,21 @@ +# syntax=docker/dockerfile:1 + +FROM oven/bun:1 AS build + +WORKDIR /app + +COPY front/package.json front/bun.lockb ./ + +RUN bun install --frozen-lockfile + +COPY front . + +RUN bun run build + +FROM nginx:1.27-alpine AS production + +COPY --from=build /app/dist /usr/share/nginx/html + +EXPOSE 80 + +CMD ["nginx", "-g", "daemon off;"] diff --git a/elf/hyli-utxo-state b/elf/hyli-utxo-state new file mode 100755 index 0000000000000000000000000000000000000000..738270a2844d9f9b5dd2d6234b8d857de04e52dc GIT binary patch literal 289300 zcmeFa3wRXwdGG(5ot>4mS_z?%#3cl;G^@1`g4h+(AO9GhlH-CYB?4&)~27&FQIpGP|vD>C50&M42oPy&! z|IhoISzVCU!8uQR&UyakdGrX)yz`si<^8>v@B9AV`Rm*Vx(vfmrGF9iZ%Y0;{h4Mp zhu_^dNA;~aDyb?|n~JMS72}HBn^T$8KhN@i`4LL_8ETFDik}89$d7KRF1*igRmXjP zqJJ6DKNgo%c)#+lh^oA|MgQcNC?!85pTFy$BkHa|W(0jfgwFO5Lt9 zm)g)e9flgZuBtAv8{ez!DW6xJiCvk_b=`(tWh5R>sQl$Mj(T`ki}Kf0t@mqG_3f&k zx$CZQS9i~{t!!kt&zX-it}6N4UL94zIP!nS{8hOP8!YZI=4@p1Ju<%h-{W$OKiL(aP%8v2=V0|AO*}jv` z);Mj8Y8>7>@;!rf@mFo#?`q}K#)#(+LOaFjSUSa-ot+Z!MPafX) zKMb>-HJZAc@fQqV)-mA4AJYe;&wAACv<}ce;Tu&Q_V4fP_*BLHgqb#KJo?962tS%m zx)c4~b`v020uI{+~ z^xwQrU#sBDNU7aE+O=buV9kR$|D4xahzETu#z#E=S;kNuTrX4)U(c_!E#~Sv%~v-u 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Date: Mon, 27 Oct 2025 14:54:51 +0100 Subject: [PATCH 03/11] fix ci --- .github/workflows/docker.yml | 2 +- Cargo.lock | 3 + Cargo.toml | 1 + fixtures/programs/agg_agg.json | 2 +- fixtures/programs/agg_utxo.json | 2 +- fixtures/programs/hyli_utxo.json | 2 +- fixtures/programs/migrate.json | 2 +- fixtures/programs/points.json | 2 +- fixtures/programs/signature.json | 2 +- fixtures/programs/utxo.json | 2 +- pkg/barretenberg/Cargo.toml | 1 + pkg/barretenberg/src/circuits/migrate.rs | 3 +- pkg/barretenberg/src/circuits/points.rs | 11 +- pkg/barretenberg/src/circuits/signature.rs | 11 +- pkg/hash/Cargo.toml | 2 + pkg/hash/src/lib.rs | 3 + pkg/hash/src/poseidon_alt.rs | 180 +++++++++++ pkg/hash/src/poseidon_alt_data.rs | 349 +++++++++++++++++++++ server/src/bin/mint_request.rs | 2 +- server/src/conf.rs | 2 +- server/src/conf_defaults.toml | 2 +- server/src/main.rs | 4 +- server/src/tx.rs | 4 +- server/src/types.rs | 4 +- 24 files changed, 565 insertions(+), 33 deletions(-) create mode 100644 pkg/hash/src/poseidon_alt.rs create mode 100644 pkg/hash/src/poseidon_alt_data.rs diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index 5239efd..e4a1b75 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -18,7 +18,7 @@ on: default: true env: - IMAGE_NAME: "zfruit" + IMAGE_NAME: "cachecash" PROJECT_ID: "hyle-413414" AR_REPO_LOCATION: "europe-west3" AR_URL: "europe-west3-docker.pkg.dev/hyle-413414/hyle-docker" diff --git a/Cargo.lock b/Cargo.lock index e5361b7..27b31db 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -1516,6 +1516,7 @@ name = "barretenberg" version = "0.1.0" dependencies = [ "acvm", + "anyhow", "base64 0.21.7", "bb_rs", "bincode", @@ -3728,10 +3729,12 @@ dependencies = [ name = "hash" version = "0.1.0" dependencies = [ + "acvm", "bn254_blackbox_solver", "element", "hex", "insta", + "once_cell", "rand 0.8.5", "rand_chacha 0.3.1", "rand_xorshift 0.3.0", diff --git a/Cargo.toml b/Cargo.toml index 2d46bcb..53e1d79 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -8,6 +8,7 @@ members = [ ] [workspace.dependencies] +anyhow = "1.0.93" sdk = { git = "https://github.com/hyli-org/hyli.git", package = "hyli-contract-sdk", branch = "main" } client-sdk = { git = "https://github.com/hyli-org/hyli.git", default-features = false, package = "hyli-client-sdk", branch = "main" } hyli-smt-token = { git = "https://github.com/hyli-org/hyli.git", package = "hyli-smt-token", branch = "main" } diff --git a/fixtures/programs/agg_agg.json b/fixtures/programs/agg_agg.json index 4e9489f..b4f2d20 100644 --- a/fixtures/programs/agg_agg.json +++ b/fixtures/programs/agg_agg.json @@ -1 +1 @@ -{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"10677370373052568673","abi":{"parameters":[{"name":"verification_key","type":{"kind":"array","length":115,"type":{"kind":"field"}},"visibility":"private"},{"name":"verification_key_hash","type":{"kind":"field"},"visibility":"private"},{"name":"utxo_agg_proofs","type":{"kind":"array","length":2,"type":{"kind":"struct","path":"UtxoAggProof","fields":[{"name":"proof","type":{"kind":"array","length":508,"type":{"kind":"field"}}},{"name":"old_root","type":{"kind":"field"}},{"name":"new_root","type":{"kind":"field"}},{"name":"commit_hash","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"old_root","type":{"kind":"field"},"visibility":"public"},{"name":"new_root","type":{"kind":"field"},"visibility":"public"},{"name":"commit_hash","type":{"kind":"field"},"visibility":"public"},{"name":"messages","type":{"kind":"array","length":30,"type":{"kind":"field"}},"visibility":"public"}],"return_type":null,"error_types":{"6622469808309600859":{"error_kind":"string","string":"proof old_root must match previous root"},"8016078727437709872":{"error_kind":"string","string":"only agg_utxo proof allowed"},"14733917638491950699":{"error_kind":"string","string":"Roots must match"}}},"bytecode":"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mod hash;\npub mod aes128;\npub mod array;\npub mod slice;\npub mod ecdsa_secp256k1;\npub mod ecdsa_secp256r1;\npub mod embedded_curve_ops;\npub mod field;\npub mod collections;\npub mod compat;\npub mod convert;\npub mod option;\npub mod string;\npub mod test;\npub mod cmp;\npub mod ops;\npub mod default;\npub mod prelude;\npub mod runtime;\npub mod meta;\npub mod append;\npub mod mem;\npub mod panic;\npub mod hint;\n\nuse convert::AsPrimitive;\n\n// Oracle calls are required to be wrapped in an unconstrained function\n// Thus, the only argument to the `println` oracle is expected to always be an ident\n#[oracle(print)]\nunconstrained fn print_oracle(with_newline: bool, input: T) {}\n\nunconstrained fn print_unconstrained(with_newline: bool, input: T) {\n print_oracle(with_newline, input);\n}\n\npub fn println(input: T) {\n // Safety: a print statement cannot be constrained\n unsafe {\n print_unconstrained(true, input);\n }\n}\n\npub fn print(input: T) {\n // Safety: a print statement cannot be constrained\n unsafe {\n print_unconstrained(false, input);\n }\n}\n\n/// Asserts the validity of the provided proof and public inputs against the provided verification key and hash.\n///\n/// The ACVM cannot determine whether the provided proof is valid during execution as this requires knowledge of\n/// the backend against which the program is being proven. However if an invalid proof if submitted, the program may\n/// fail to prove or the backend may generate a proof which will subsequently fail to verify.\n///\n/// # Important Note\n///\n/// If you are not developing your own backend such as [Barretenberg](https://github.com/AztecProtocol/barretenberg)\n/// you probably shouldn't need to interact with this function directly. It's easier and safer to use a verification\n/// library which is published by the developers of the backend which will document or enforce any safety requirements.\n///\n/// If you use this directly, you're liable to introduce underconstrainedness bugs and *your circuit will be insecure*.\n///\n/// # Arguments\n/// - verification_key: The verification key of the circuit to be verified.\n/// - proof: The proof to be verified.\n/// - public_inputs: The public inputs associated with `proof`\n/// - key_hash: The hash of `verification_key` of the form expected by the backend.\n/// - proof_type: An identifier for the proving scheme used to generate the proof to be verified. This allows\n/// for a single backend to support verifying multiple proving schemes.\n///\n/// # Constraining `key_hash`\n///\n/// The Noir compiler does not by itself constrain that `key_hash` is a valid hash of `verification_key`.\n/// This is because different backends may differ in how they hash their verification keys.\n/// It is then the responsibility of either the noir developer (by explicitly hashing the verification key\n/// in the correct manner) or by the proving system itself internally asserting the correctness of `key_hash`.\npub fn verify_proof_with_type(\n verification_key: [Field; N],\n proof: [Field; M],\n public_inputs: [Field; K],\n key_hash: Field,\n proof_type: u32,\n) {\n if !crate::runtime::is_unconstrained() {\n crate::assert_constant(proof_type);\n }\n verify_proof_internal(verification_key, proof, public_inputs, key_hash, proof_type);\n}\n\n#[foreign(recursive_aggregation)]\nfn verify_proof_internal(\n verification_key: [Field; N],\n proof: [Field; M],\n public_inputs: [Field; K],\n key_hash: Field,\n proof_type: u32,\n) {}\n\n// Asserts that the given value is known at compile-time.\n// Useful for debugging for-loop bounds.\n#[builtin(assert_constant)]\npub fn assert_constant(x: T) {}\n\n// Asserts that the given value is both true and known at compile-time.\n// The message can be a string, a format string, or any value, as long as it is known at compile-time\n#[builtin(static_assert)]\npub fn static_assert(predicate: bool, message: T) {}\n\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_add(y)\")]\npub fn wrapping_add(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n AsPrimitive::as_(x.as_() + y.as_())\n}\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_sub(y)\")]\npub fn wrapping_sub(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n //340282366920938463463374607431768211456 is 2^128, it is used to avoid underflow\n AsPrimitive::as_(x.as_() + 340282366920938463463374607431768211456 - y.as_())\n}\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_mul(y)\")]\npub fn wrapping_mul(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n AsPrimitive::as_(x.as_() * y.as_())\n}\n\n#[builtin(as_witness)]\npub fn as_witness(x: Field) {}\n\nmod tests {\n use super::ops::arith::WrappingMul;\n\n #[test(should_fail_with = \"custom message\")]\n fn test_static_assert_custom_message() {\n super::static_assert(1 == 2, \"custom message\");\n }\n\n #[test]\n fn test_wrapping_mul() {\n let zero: u128 = 0;\n let one: u128 = 1;\n let two_pow_64: u128 = 0x10000000000000000;\n let u128_max: u128 = 0xffffffffffffffffffffffffffffffff;\n\n // 1*0==0\n assert_eq(zero, zero.wrapping_mul(one));\n\n // 0*1==0\n assert_eq(zero, one.wrapping_mul(zero));\n\n // 1*1==1\n assert_eq(one, one.wrapping_mul(one));\n\n // 0 * ( 1 << 64 ) == 0\n assert_eq(zero, zero.wrapping_mul(two_pow_64));\n\n // ( 1 << 64 ) * 0 == 0\n assert_eq(zero, two_pow_64.wrapping_mul(zero));\n\n // 1 * ( 1 << 64 ) == 1 << 64\n assert_eq(two_pow_64, two_pow_64.wrapping_mul(one));\n\n // ( 1 << 64 ) * 1 == 1 << 64\n assert_eq(two_pow_64, one.wrapping_mul(two_pow_64));\n\n // ( 1 << 64 ) * ( 1 << 64 ) == 1 << 64\n assert_eq(zero, two_pow_64.wrapping_mul(two_pow_64));\n // -1 * -1 == 1\n assert_eq(one, u128_max.wrapping_mul(u128_max));\n }\n}\n","path":"std/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"63":{"source":"use dep::std;\nuse poseidon::poseidon2;\n\nglobal AGG_UTXO_VERIFICATION_KEY_HASH: Field =\n 17312275849526493518721480386830253666706187309474064656261199404280431862138;\n\nstruct UtxoAggProof {\n proof: [Field; 508],\n old_root: Field,\n new_root: Field,\n commit_hash: Field,\n}\n\nfn main(\n verification_key: [Field; 115],\n verification_key_hash: Field,\n utxo_agg_proofs: [UtxoAggProof; 2],\n old_root: pub Field,\n new_root: pub Field,\n commit_hash: pub Field,\n // 6 proofs, 6 per proof\n messages: pub [Field; 30],\n) {\n // Hardcode verification_key_hash for agg_utxo proof\n assert(verification_key_hash == AGG_UTXO_VERIFICATION_KEY_HASH, \"only agg_utxo proof allowed\");\n\n let mut root = old_root;\n let mut first_public_inputs: [Field; 18] = [0; 18];\n\n for i in 0..2 {\n let proof = utxo_agg_proofs[i];\n let public_inputs = [\n messages[15 * i],\n messages[15 * i + 1],\n messages[15 * i + 2],\n messages[15 * i + 3],\n messages[15 * i + 4],\n messages[15 * i + 5],\n messages[15 * i + 6],\n messages[15 * i + 7],\n messages[15 * i + 8],\n messages[15 * i + 9],\n messages[15 * i + 10],\n messages[15 * i + 11],\n messages[15 * i + 12],\n messages[15 * i + 13],\n messages[15 * i + 14],\n proof.old_root,\n proof.new_root,\n proof.commit_hash,\n ];\n\n if i == 0 {\n first_public_inputs = public_inputs;\n }\n\n std::verify_proof_with_type(\n verification_key,\n if proof.old_root != 0 {\n proof.proof\n } else {\n utxo_agg_proofs[0].proof\n },\n if proof.old_root != 0 {\n public_inputs\n } else {\n first_public_inputs\n },\n verification_key_hash,\n 7,\n );\n\n if proof.old_root != 0 {\n assert(proof.old_root == root, \"proof old_root must match previous root\");\n root = proof.new_root;\n }\n }\n\n assert(\n commit_hash\n == poseidon2::Poseidon2::hash(\n [utxo_agg_proofs[0].commit_hash, utxo_agg_proofs[1].commit_hash],\n 2,\n ),\n );\n assert(new_root == root, \"Roots must match\");\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/agg_agg/src/main.nr"}},"names":["main"],"brillig_names":["directive_invert"]} \ No newline at end of file +{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"10677370373052568673","abi":{"parameters":[{"name":"verification_key","type":{"kind":"array","length":115,"type":{"kind":"field"}},"visibility":"private"},{"name":"verification_key_hash","type":{"kind":"field"},"visibility":"private"},{"name":"utxo_agg_proofs","type":{"kind":"array","length":2,"type":{"kind":"struct","path":"UtxoAggProof","fields":[{"name":"proof","type":{"kind":"array","length":508,"type":{"kind":"field"}}},{"name":"old_root","type":{"kind":"field"}},{"name":"new_root","type":{"kind":"field"}},{"name":"commit_hash","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"old_root","type":{"kind":"field"},"visibility":"public"},{"name":"new_root","type":{"kind":"field"},"visibility":"public"},{"name":"commit_hash","type":{"kind":"field"},"visibility":"public"},{"name":"messages","type":{"kind":"array","length":30,"type":{"kind":"field"}},"visibility":"public"}],"return_type":null,"error_types":{"6622469808309600859":{"error_kind":"string","string":"proof old_root must match previous root"},"8016078727437709872":{"error_kind":"string","string":"only agg_utxo proof allowed"},"14733917638491950699":{"error_kind":"string","string":"Roots must match"}}},"bytecode":"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mod hash;\npub mod aes128;\npub mod array;\npub mod slice;\npub mod ecdsa_secp256k1;\npub mod ecdsa_secp256r1;\npub mod embedded_curve_ops;\npub mod field;\npub mod collections;\npub mod compat;\npub mod convert;\npub mod option;\npub mod string;\npub mod test;\npub mod cmp;\npub mod ops;\npub mod default;\npub mod prelude;\npub mod runtime;\npub mod meta;\npub mod append;\npub mod mem;\npub mod panic;\npub mod hint;\n\nuse convert::AsPrimitive;\n\n// Oracle calls are required to be wrapped in an unconstrained function\n// Thus, the only argument to the `println` oracle is expected to always be an ident\n#[oracle(print)]\nunconstrained fn print_oracle(with_newline: bool, input: T) {}\n\nunconstrained fn print_unconstrained(with_newline: bool, input: T) {\n print_oracle(with_newline, input);\n}\n\npub fn println(input: T) {\n // Safety: a print statement cannot be constrained\n unsafe {\n print_unconstrained(true, input);\n }\n}\n\npub fn print(input: T) {\n // Safety: a print statement cannot be constrained\n unsafe {\n print_unconstrained(false, input);\n }\n}\n\n/// Asserts the validity of the provided proof and public inputs against the provided verification key and hash.\n///\n/// The ACVM cannot determine whether the provided proof is valid during execution as this requires knowledge of\n/// the backend against which the program is being proven. However if an invalid proof if submitted, the program may\n/// fail to prove or the backend may generate a proof which will subsequently fail to verify.\n///\n/// # Important Note\n///\n/// If you are not developing your own backend such as [Barretenberg](https://github.com/AztecProtocol/barretenberg)\n/// you probably shouldn't need to interact with this function directly. It's easier and safer to use a verification\n/// library which is published by the developers of the backend which will document or enforce any safety requirements.\n///\n/// If you use this directly, you're liable to introduce underconstrainedness bugs and *your circuit will be insecure*.\n///\n/// # Arguments\n/// - verification_key: The verification key of the circuit to be verified.\n/// - proof: The proof to be verified.\n/// - public_inputs: The public inputs associated with `proof`\n/// - key_hash: The hash of `verification_key` of the form expected by the backend.\n/// - proof_type: An identifier for the proving scheme used to generate the proof to be verified. This allows\n/// for a single backend to support verifying multiple proving schemes.\n///\n/// # Constraining `key_hash`\n///\n/// The Noir compiler does not by itself constrain that `key_hash` is a valid hash of `verification_key`.\n/// This is because different backends may differ in how they hash their verification keys.\n/// It is then the responsibility of either the noir developer (by explicitly hashing the verification key\n/// in the correct manner) or by the proving system itself internally asserting the correctness of `key_hash`.\npub fn verify_proof_with_type(\n verification_key: [Field; N],\n proof: [Field; M],\n public_inputs: [Field; K],\n key_hash: Field,\n proof_type: u32,\n) {\n if !crate::runtime::is_unconstrained() {\n crate::assert_constant(proof_type);\n }\n verify_proof_internal(verification_key, proof, public_inputs, key_hash, proof_type);\n}\n\n#[foreign(recursive_aggregation)]\nfn verify_proof_internal(\n verification_key: [Field; N],\n proof: [Field; M],\n public_inputs: [Field; K],\n key_hash: Field,\n proof_type: u32,\n) {}\n\n// Asserts that the given value is known at compile-time.\n// Useful for debugging for-loop bounds.\n#[builtin(assert_constant)]\npub fn assert_constant(x: T) {}\n\n// Asserts that the given value is both true and known at compile-time.\n// The message can be a string, a format string, or any value, as long as it is known at compile-time\n#[builtin(static_assert)]\npub fn static_assert(predicate: bool, message: T) {}\n\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_add(y)\")]\npub fn wrapping_add(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n AsPrimitive::as_(x.as_() + y.as_())\n}\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_sub(y)\")]\npub fn wrapping_sub(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n //340282366920938463463374607431768211456 is 2^128, it is used to avoid underflow\n AsPrimitive::as_(x.as_() + 340282366920938463463374607431768211456 - y.as_())\n}\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_mul(y)\")]\npub fn wrapping_mul(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n AsPrimitive::as_(x.as_() * y.as_())\n}\n\n#[builtin(as_witness)]\npub fn as_witness(x: Field) {}\n\nmod tests {\n use super::ops::arith::WrappingMul;\n\n #[test(should_fail_with = \"custom message\")]\n fn test_static_assert_custom_message() {\n super::static_assert(1 == 2, \"custom message\");\n }\n\n #[test]\n fn test_wrapping_mul() {\n let zero: u128 = 0;\n let one: u128 = 1;\n let two_pow_64: u128 = 0x10000000000000000;\n let u128_max: u128 = 0xffffffffffffffffffffffffffffffff;\n\n // 1*0==0\n assert_eq(zero, zero.wrapping_mul(one));\n\n // 0*1==0\n assert_eq(zero, one.wrapping_mul(zero));\n\n // 1*1==1\n assert_eq(one, one.wrapping_mul(one));\n\n // 0 * ( 1 << 64 ) == 0\n assert_eq(zero, zero.wrapping_mul(two_pow_64));\n\n // ( 1 << 64 ) * 0 == 0\n assert_eq(zero, two_pow_64.wrapping_mul(zero));\n\n // 1 * ( 1 << 64 ) == 1 << 64\n assert_eq(two_pow_64, two_pow_64.wrapping_mul(one));\n\n // ( 1 << 64 ) * 1 == 1 << 64\n assert_eq(two_pow_64, one.wrapping_mul(two_pow_64));\n\n // ( 1 << 64 ) * ( 1 << 64 ) == 1 << 64\n assert_eq(zero, two_pow_64.wrapping_mul(two_pow_64));\n // -1 * -1 == 1\n assert_eq(one, u128_max.wrapping_mul(u128_max));\n }\n}\n","path":"std/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"63":{"source":"use dep::std;\nuse poseidon::poseidon2;\n\nglobal AGG_UTXO_VERIFICATION_KEY_HASH: Field =\n 17312275849526493518721480386830253666706187309474064656261199404280431862138;\n\nstruct UtxoAggProof {\n proof: [Field; 508],\n old_root: Field,\n new_root: Field,\n commit_hash: Field,\n}\n\nfn main(\n verification_key: [Field; 115],\n verification_key_hash: Field,\n utxo_agg_proofs: [UtxoAggProof; 2],\n old_root: pub Field,\n new_root: pub Field,\n commit_hash: pub Field,\n // 6 proofs, 6 per proof\n messages: pub [Field; 30],\n) {\n // Hardcode verification_key_hash for agg_utxo proof\n assert(verification_key_hash == AGG_UTXO_VERIFICATION_KEY_HASH, \"only agg_utxo proof allowed\");\n\n let mut root = old_root;\n let mut first_public_inputs: [Field; 18] = [0; 18];\n\n for i in 0..2 {\n let proof = utxo_agg_proofs[i];\n let public_inputs = [\n messages[15 * i],\n messages[15 * i + 1],\n messages[15 * i + 2],\n messages[15 * i + 3],\n messages[15 * i + 4],\n messages[15 * i + 5],\n messages[15 * i + 6],\n messages[15 * i + 7],\n messages[15 * i + 8],\n messages[15 * i + 9],\n messages[15 * i + 10],\n messages[15 * i + 11],\n messages[15 * i + 12],\n messages[15 * i + 13],\n messages[15 * i + 14],\n proof.old_root,\n proof.new_root,\n proof.commit_hash,\n ];\n\n if i == 0 {\n first_public_inputs = public_inputs;\n }\n\n std::verify_proof_with_type(\n verification_key,\n if proof.old_root != 0 {\n proof.proof\n } else {\n utxo_agg_proofs[0].proof\n },\n if proof.old_root != 0 {\n public_inputs\n } else {\n first_public_inputs\n },\n verification_key_hash,\n 7,\n );\n\n if proof.old_root != 0 {\n assert(proof.old_root == root, \"proof old_root must match previous root\");\n root = proof.new_root;\n }\n }\n\n assert(\n commit_hash\n == poseidon2::Poseidon2::hash(\n [utxo_agg_proofs[0].commit_hash, utxo_agg_proofs[1].commit_hash],\n 2,\n ),\n );\n assert(new_root == root, \"Roots must match\");\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/agg_agg/src/main.nr"}},"names":["main"],"brillig_names":["directive_invert"]} \ No newline at end of file diff --git a/fixtures/programs/agg_utxo.json b/fixtures/programs/agg_utxo.json index 1744c0c..0b97e19 100644 --- a/fixtures/programs/agg_utxo.json +++ b/fixtures/programs/agg_utxo.json @@ -1 +1 @@ -{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"9119947016907982998","abi":{"parameters":[{"name":"verification_key","type":{"kind":"array","length":115,"type":{"kind":"field"}},"visibility":"private"},{"name":"verification_key_hash","type":{"kind":"field"},"visibility":"private"},{"name":"proofs","type":{"kind":"array","length":3,"type":{"kind":"struct","path":"AggUtxoProofInput","fields":[{"name":"proof","type":{"kind":"array","length":508,"type":{"kind":"field"}}},{"name":"utxo_kind","type":{"kind":"field"}},{"name":"input_merkle_paths","type":{"kind":"array","length":2,"type":{"kind":"array","length":160,"type":{"kind":"field"}}}},{"name":"output_merkle_paths","type":{"kind":"array","length":2,"type":{"kind":"array","length":160,"type":{"kind":"field"}}}},{"name":"input_commitments","type":{"kind":"array","length":2,"type":{"kind":"field"}}},{"name":"output_commitments","type":{"kind":"array","length":2,"type":{"kind":"field"}}}]}},"visibility":"private"},{"name":"messages","type":{"kind":"array","length":15,"type":{"kind":"field"}},"visibility":"public"},{"name":"old_root","type":{"kind":"field"},"visibility":"public"},{"name":"new_root","type":{"kind":"field"},"visibility":"public"},{"name":"commit_hash","type":{"kind":"field"},"visibility":"public"}],"return_type":null,"error_types":{"1361552396533323745":{"error_kind":"string","string":"Merkle path root does not match"},"4464234096283008029":{"error_kind":"string","string":"Message is not zero"},"5019202896831570965":{"error_kind":"string","string":"attempt to add with overflow"},"6472615819927606489":{"error_kind":"string","string":"proof 'kind' must match message"},"8689439094417755085":{"error_kind":"string","string":"only utxo proof allowed"},"11199500901091765382":{"error_kind":"string","string":"first proof cannot be a padding proof"},"11818510405527039277":{"error_kind":"string","string":"New root is not valid"},"12161378539035059347":{"error_kind":"string","string":"Field failed to decompose into specified 254 limbs"}}},"bytecode":"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","file_map":{"18":{"source":"pub mod bn254;\nuse crate::{runtime::is_unconstrained, static_assert};\nuse bn254::lt as bn254_lt;\n\nimpl Field {\n /// Asserts that `self` can be represented in `bit_size` bits.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^{bit_size}`.\n // docs:start:assert_max_bit_size\n pub fn assert_max_bit_size(self) {\n // docs:end:assert_max_bit_size\n static_assert(\n BIT_SIZE < modulus_num_bits() as u32,\n \"BIT_SIZE must be less than modulus_num_bits\",\n );\n __assert_max_bit_size(self, BIT_SIZE);\n }\n\n /// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n /// This slice will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_le_bits\n pub fn to_le_bits(self: Self) -> [u1; N] {\n // docs:end:to_le_bits\n let bits = __to_le_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[N - 1 - i] != p[N - 1 - i]) {\n assert(p[N - 1 - i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n /// This array will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_be_bits\n pub fn to_be_bits(self: Self) -> [u1; N] {\n // docs:end:to_be_bits\n let bits = __to_be_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the decomposition does not overflow the modulus\n let p = modulus_be_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[i] != p[i]) {\n assert(p[i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its little endian byte decomposition as a `[u8;N]` array\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_le_bytes\n pub fn to_le_bytes(self: Self) -> [u8; N] {\n // docs:end:to_le_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_le_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[N - 1 - i] != p[N - 1 - i]) {\n assert(bytes[N - 1 - i] < p[N - 1 - i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n /// Decomposes `self` into its big endian byte decomposition as a `[u8;N]` array of length required to represent the field modulus\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_be_bytes\n pub fn to_be_bytes(self: Self) -> [u8; N] {\n // docs:end:to_be_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_be_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_be_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[i] != p[i]) {\n assert(bytes[i] < p[i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n fn to_le_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_le_radix(self, radix)\n }\n\n fn to_be_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_be_radix(self, radix)\n }\n\n // Returns self to the power of the given exponent value.\n // Caution: we assume the exponent fits into 32 bits\n // using a bigger bit size impacts negatively the performance and should be done only if the exponent does not fit in 32 bits\n pub fn pow_32(self, exponent: Field) -> Field {\n let mut r: Field = 1;\n let b: [u1; 32] = exponent.to_le_bits();\n\n for i in 1..33 {\n r *= r;\n r = (b[32 - i] as Field) * (r * self) + (1 - b[32 - i] as Field) * r;\n }\n r\n }\n\n // Parity of (prime) Field element, i.e. sgn0(x mod p) = 0 if x `elem` {0, ..., p-1} is even, otherwise sgn0(x mod p) = 1.\n pub fn sgn0(self) -> u1 {\n self as u1\n }\n\n pub fn lt(self, another: Field) -> bool {\n if crate::compat::is_bn254() {\n bn254_lt(self, another)\n } else {\n lt_fallback(self, another)\n }\n }\n\n /// Convert a little endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_le_bytes(bytes: [u8; N]) -> Field {\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[i] as Field) * v;\n v = v * 256;\n }\n result\n }\n\n /// Convert a big endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_be_bytes(bytes: [u8; N]) -> Field {\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[N - 1 - i] as Field) * v;\n v = v * 256;\n }\n result\n }\n}\n\n#[builtin(apply_range_constraint)]\nfn __assert_max_bit_size(value: Field, bit_size: u32) {}\n\n// `_radix` must be less than 256\n#[builtin(to_le_radix)]\nfn __to_le_radix(value: Field, radix: u32) -> [u8; N] {}\n\n// `_radix` must be less than 256\n#[builtin(to_be_radix)]\nfn __to_be_radix(value: Field, radix: u32) -> [u8; N] {}\n\n/// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n/// This slice will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_le_bits)]\nfn __to_le_bits(value: Field) -> [u1; N] {}\n\n/// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n/// This array will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_be_bits)]\nfn __to_be_bits(value: Field) -> [u1; N] {}\n\n#[builtin(modulus_num_bits)]\npub comptime fn modulus_num_bits() -> u64 {}\n\n#[builtin(modulus_be_bits)]\npub comptime fn modulus_be_bits() -> [u1] {}\n\n#[builtin(modulus_le_bits)]\npub comptime fn modulus_le_bits() -> [u1] {}\n\n#[builtin(modulus_be_bytes)]\npub comptime fn modulus_be_bytes() -> [u8] {}\n\n#[builtin(modulus_le_bytes)]\npub comptime fn modulus_le_bytes() -> [u8] {}\n\n/// An unconstrained only built in to efficiently compare fields.\n#[builtin(field_less_than)]\nunconstrained fn __field_less_than(x: Field, y: Field) -> bool {}\n\npub(crate) unconstrained fn field_less_than(x: Field, y: Field) -> bool {\n __field_less_than(x, y)\n}\n\n// Convert a 32 byte array to a field element by modding\npub fn bytes32_to_field(bytes32: [u8; 32]) -> Field {\n // Convert it to a field element\n let mut v = 1;\n let mut high = 0 as Field;\n let mut low = 0 as Field;\n\n for i in 0..16 {\n high = high + (bytes32[15 - i] as Field) * v;\n low = low + (bytes32[16 + 15 - i] as Field) * v;\n v = v * 256;\n }\n // Abuse that a % p + b % p = (a + b) % p and that low < p\n low + high * v\n}\n\nfn lt_fallback(x: Field, y: Field) -> bool {\n if is_unconstrained() {\n // Safety: unconstrained context\n unsafe {\n field_less_than(x, y)\n }\n } else {\n let x_bytes: [u8; 32] = x.to_le_bytes();\n let y_bytes: [u8; 32] = y.to_le_bytes();\n let mut x_is_lt = false;\n let mut done = false;\n for i in 0..32 {\n if (!done) {\n let x_byte = x_bytes[32 - 1 - i] as u8;\n let y_byte = y_bytes[32 - 1 - i] as u8;\n let bytes_match = x_byte == y_byte;\n if !bytes_match {\n x_is_lt = x_byte < y_byte;\n done = true;\n }\n }\n }\n x_is_lt\n }\n}\n\nmod tests {\n use crate::{panic::panic, runtime};\n use super::field_less_than;\n\n #[test]\n // docs:start:to_be_bits_example\n fn test_to_be_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_be_bits();\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 1, 0]);\n }\n // docs:end:to_be_bits_example\n\n #[test]\n // docs:start:to_le_bits_example\n fn test_to_le_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_le_bits();\n assert_eq(bits, [0, 1, 0, 0, 0, 0, 0, 0]);\n }\n // docs:end:to_le_bits_example\n\n #[test]\n // docs:start:to_be_bytes_example\n fn test_to_be_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_be_bytes();\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_bytes_example\n\n #[test]\n // docs:start:to_le_bytes_example\n fn test_to_le_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_le_bytes();\n assert_eq(bytes, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_bytes_example\n\n #[test]\n // docs:start:to_be_radix_example\n fn test_to_be_radix() {\n // 259, in base 256, big endian, is [1, 3].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_be_radix(256);\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 1, 3]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_radix_example\n\n #[test]\n // docs:start:to_le_radix_example\n fn test_to_le_radix() {\n // 259, in base 256, little endian, is [3, 1].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_le_radix(256);\n assert_eq(bytes, [3, 1, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_radix_example\n\n #[test(should_fail_with = \"radix must be greater than 1\")]\n fn test_to_le_radix_1() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(1);\n } else {\n panic(f\"radix must be greater than 1\");\n }\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be greater than 2\n //#[test]\n //fn test_to_le_radix_brillig_1() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(1);\n // crate::println(out);\n // let expected = [0; 8];\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test(should_fail_with = \"radix must be a power of 2\")]\n fn test_to_le_radix_3() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(3);\n } else {\n panic(f\"radix must be a power of 2\");\n }\n }\n\n #[test]\n fn test_to_le_radix_brillig_3() {\n // this test should only fail in constrained mode\n if runtime::is_unconstrained() {\n let field = 1;\n let out: [u8; 8] = field.to_le_radix(3);\n let mut expected = [0; 8];\n expected[0] = 1;\n assert(out == expected, \"unexpected result\");\n }\n }\n\n #[test(should_fail_with = \"radix must be less than or equal to 256\")]\n fn test_to_le_radix_512() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(512);\n } else {\n panic(f\"radix must be less than or equal to 256\")\n }\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n unconstrained fn not_enough_limbs_brillig() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n fn not_enough_limbs() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be less than 512\n //#[test]\n //fn test_to_le_radix_brillig_512() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(512);\n // let mut expected = [0; 8];\n // expected[0] = 1;\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test]\n unconstrained fn test_field_less_than() {\n assert(field_less_than(0, 1));\n assert(field_less_than(0, 0x100));\n assert(field_less_than(0x100, 0 - 1));\n assert(!field_less_than(0 - 1, 0));\n }\n}\n","path":"std/field/mod.nr"},"22":{"source":"pub mod hash;\npub mod aes128;\npub mod array;\npub mod slice;\npub mod ecdsa_secp256k1;\npub mod ecdsa_secp256r1;\npub mod embedded_curve_ops;\npub mod field;\npub mod collections;\npub mod compat;\npub mod convert;\npub mod option;\npub mod string;\npub mod test;\npub mod cmp;\npub mod ops;\npub mod default;\npub mod prelude;\npub mod runtime;\npub mod meta;\npub mod append;\npub mod mem;\npub mod panic;\npub mod hint;\n\nuse convert::AsPrimitive;\n\n// Oracle calls are required to be wrapped in an unconstrained function\n// Thus, the only argument to the `println` oracle is expected to always be an ident\n#[oracle(print)]\nunconstrained fn print_oracle(with_newline: bool, input: T) {}\n\nunconstrained fn print_unconstrained(with_newline: bool, input: T) {\n print_oracle(with_newline, input);\n}\n\npub fn println(input: T) {\n // Safety: a print statement cannot be constrained\n unsafe {\n print_unconstrained(true, input);\n }\n}\n\npub fn print(input: T) {\n // Safety: a print statement cannot be constrained\n unsafe {\n print_unconstrained(false, input);\n }\n}\n\n/// Asserts the validity of the provided proof and public inputs against the provided verification key and hash.\n///\n/// The ACVM cannot determine whether the provided proof is valid during execution as this requires knowledge of\n/// the backend against which the program is being proven. However if an invalid proof if submitted, the program may\n/// fail to prove or the backend may generate a proof which will subsequently fail to verify.\n///\n/// # Important Note\n///\n/// If you are not developing your own backend such as [Barretenberg](https://github.com/AztecProtocol/barretenberg)\n/// you probably shouldn't need to interact with this function directly. It's easier and safer to use a verification\n/// library which is published by the developers of the backend which will document or enforce any safety requirements.\n///\n/// If you use this directly, you're liable to introduce underconstrainedness bugs and *your circuit will be insecure*.\n///\n/// # Arguments\n/// - verification_key: The verification key of the circuit to be verified.\n/// - proof: The proof to be verified.\n/// - public_inputs: The public inputs associated with `proof`\n/// - key_hash: The hash of `verification_key` of the form expected by the backend.\n/// - proof_type: An identifier for the proving scheme used to generate the proof to be verified. This allows\n/// for a single backend to support verifying multiple proving schemes.\n///\n/// # Constraining `key_hash`\n///\n/// The Noir compiler does not by itself constrain that `key_hash` is a valid hash of `verification_key`.\n/// This is because different backends may differ in how they hash their verification keys.\n/// It is then the responsibility of either the noir developer (by explicitly hashing the verification key\n/// in the correct manner) or by the proving system itself internally asserting the correctness of `key_hash`.\npub fn verify_proof_with_type(\n verification_key: [Field; N],\n proof: [Field; M],\n public_inputs: [Field; K],\n key_hash: Field,\n proof_type: u32,\n) {\n if !crate::runtime::is_unconstrained() {\n crate::assert_constant(proof_type);\n }\n verify_proof_internal(verification_key, proof, public_inputs, key_hash, proof_type);\n}\n\n#[foreign(recursive_aggregation)]\nfn verify_proof_internal(\n verification_key: [Field; N],\n proof: [Field; M],\n public_inputs: [Field; K],\n key_hash: Field,\n proof_type: u32,\n) {}\n\n// Asserts that the given value is known at compile-time.\n// Useful for debugging for-loop bounds.\n#[builtin(assert_constant)]\npub fn assert_constant(x: T) {}\n\n// Asserts that the given value is both true and known at compile-time.\n// The message can be a string, a format string, or any value, as long as it is known at compile-time\n#[builtin(static_assert)]\npub fn static_assert(predicate: bool, message: T) {}\n\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_add(y)\")]\npub fn wrapping_add(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n AsPrimitive::as_(x.as_() + y.as_())\n}\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_sub(y)\")]\npub fn wrapping_sub(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n //340282366920938463463374607431768211456 is 2^128, it is used to avoid underflow\n AsPrimitive::as_(x.as_() + 340282366920938463463374607431768211456 - y.as_())\n}\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_mul(y)\")]\npub fn wrapping_mul(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n AsPrimitive::as_(x.as_() * y.as_())\n}\n\n#[builtin(as_witness)]\npub fn as_witness(x: Field) {}\n\nmod tests {\n use super::ops::arith::WrappingMul;\n\n #[test(should_fail_with = \"custom message\")]\n fn test_static_assert_custom_message() {\n super::static_assert(1 == 2, \"custom message\");\n }\n\n #[test]\n fn test_wrapping_mul() {\n let zero: u128 = 0;\n let one: u128 = 1;\n let two_pow_64: u128 = 0x10000000000000000;\n let u128_max: u128 = 0xffffffffffffffffffffffffffffffff;\n\n // 1*0==0\n assert_eq(zero, zero.wrapping_mul(one));\n\n // 0*1==0\n assert_eq(zero, one.wrapping_mul(zero));\n\n // 1*1==1\n assert_eq(one, one.wrapping_mul(one));\n\n // 0 * ( 1 << 64 ) == 0\n assert_eq(zero, zero.wrapping_mul(two_pow_64));\n\n // ( 1 << 64 ) * 0 == 0\n assert_eq(zero, two_pow_64.wrapping_mul(zero));\n\n // 1 * ( 1 << 64 ) == 1 << 64\n assert_eq(two_pow_64, two_pow_64.wrapping_mul(one));\n\n // ( 1 << 64 ) * 1 == 1 << 64\n assert_eq(two_pow_64, one.wrapping_mul(two_pow_64));\n\n // ( 1 << 64 ) * ( 1 << 64 ) == 1 << 64\n assert_eq(zero, two_pow_64.wrapping_mul(two_pow_64));\n // -1 * -1 == 1\n assert_eq(one, u128_max.wrapping_mul(u128_max));\n }\n}\n","path":"std/lib.nr"},"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"62":{"source":"use dep::std;\nuse common::is_one_of;\nuse poseidon::poseidon2;\n\nglobal UTXO_VERIFICATION_KEY_HASH: Field =\n 18779959434705083215725546760451184879298382931437993861134690217528836166710;\n\nstruct AggUtxoProofInput {\n proof: [Field; 508],\n utxo_kind: Field,\n input_merkle_paths: [[Field; 160]; 2],\n output_merkle_paths: [[Field; 160]; 2],\n input_commitments: [Field; 2],\n output_commitments: [Field; 2],\n}\n\nfn main(\n verification_key: [Field; 115],\n verification_key_hash: Field,\n proofs: [AggUtxoProofInput; 3],\n messages: pub [Field; 15],\n old_root: pub Field,\n new_root: pub Field,\n commit_hash: pub Field,\n) {\n // Hardcode verification_key_hash for utxo proof\n assert(verification_key_hash == UTXO_VERIFICATION_KEY_HASH, \"only utxo proof allowed\");\n\n let mut root = old_root;\n let mut utxo_hashes: [Field; 3] = [0, 0, 0];\n let mut messages_index = 0;\n\n let mut first_public_inputs: [Field; 9] = [0; 9];\n for i in 0..3 {\n let proof = proofs[i];\n let input_commitments = proof.input_commitments;\n let output_commitments = proof.output_commitments;\n\n let utxo_kind = proof.utxo_kind;\n let is_padding = utxo_kind == 0;\n let is_proof_kind_mint_or_burn = is_one_of(utxo_kind, [2, 3]);\n let is_burn = utxo_kind == 3;\n\n let mut msg_note_kind = 0;\n let mut msg_value = 0;\n let mut msg_hash = 0;\n let mut msg_burn_addr = 0;\n\n if is_proof_kind_mint_or_burn {\n assert(messages[messages_index] == utxo_kind, \"proof 'kind' must match message\");\n msg_note_kind = messages[messages_index + 1];\n msg_value = messages[messages_index + 2];\n msg_hash = messages[messages_index + 3];\n messages_index += 4;\n }\n\n if is_burn {\n msg_burn_addr = messages[messages_index];\n messages_index += 1;\n }\n\n utxo_hashes[i] = poseidon2::Poseidon2::hash(\n [\n input_commitments[0],\n input_commitments[1],\n output_commitments[0],\n output_commitments[1],\n ],\n 4,\n );\n\n // Verify non-padding proofs\n let public_inputs = [\n input_commitments[0],\n input_commitments[1],\n output_commitments[0],\n output_commitments[1],\n utxo_kind,\n msg_note_kind,\n msg_value,\n msg_hash,\n msg_burn_addr,\n ];\n\n // Capture the public_inputs on first iter\n if (i == 0) {\n // First proof must ALWAYS be a real proof\n assert(!is_padding, \"first proof cannot be a padding proof\");\n // and we will use that proof\n first_public_inputs = public_inputs;\n }\n\n // Due to a limitation in noir, verify_proof_with_type will ALWAYS\n // be run regardless of whether its inside an if statement, so we need\n // to form a valid proof. As first proof cannot be a dummy proof, we can\n // use the first proof for padding elements\n std::verify_proof_with_type(\n verification_key,\n if (is_padding) {\n proofs[0].proof\n } else {\n proof.proof\n },\n if (is_padding) {\n first_public_inputs\n } else {\n public_inputs\n },\n verification_key_hash,\n 7,\n );\n\n if (!is_padding) {\n // Input commitments\n for j in 0..2 {\n let commitment = input_commitments[j];\n\n if commitment != 0 {\n let bits: [u1; 254] = commitment.to_le_bits();\n let merkle_path = proof.input_merkle_paths[j];\n\n // Check it exists in the old tree\n validate_inclusion(commitment, bits, merkle_path, root);\n\n // Calculate new root without the input commitment\n root = get_null_root(bits, merkle_path);\n }\n }\n\n // Output commitments\n for j in 0..2 {\n let commitment = output_commitments[j];\n\n if commitment != 0 {\n let bits: [u1; 254] = commitment.to_le_bits();\n let merkle_path = proof.output_merkle_paths[j];\n\n // Checks the merkle path leads to the existing root\n validate_null(bits, merkle_path, root);\n\n // Calculate new root with added output commitments\n root = get_merkle_root(commitment, bits, merkle_path);\n }\n }\n }\n }\n\n // Verify all other messages are zero\n for i in 0..messages.len() {\n if i >= messages_index {\n assert(messages[i] == 0, \"Message is not zero\");\n }\n }\n\n assert(root == new_root, \"New root is not valid\");\n assert(commit_hash == poseidon2::Poseidon2::hash(utxo_hashes, 3));\n}\n\nfn validate_inclusion(leaf: Field, bits: [u1; 254], merkle_path: [Field; 160], root: Field) {\n let merkle_root = get_merkle_root(leaf, bits, merkle_path);\n assert(merkle_root == root, \"Merkle path root does not match\");\n}\n\nfn validate_null(bits: [u1; 254], merkle_path: [Field; 160], root: Field) {\n let merkle_root = get_null_root(bits, merkle_path);\n assert(merkle_root == root, \"Merkle path root does not match\");\n}\n\nfn get_null_root(bits: [u1; 254], merkle_path: [Field; 160]) -> Field {\n get_merkle_root(0, bits, merkle_path)\n}\n\nfn get_merkle_root(leaf: Field, bits: [u1; 254], merkle_path: [Field; 160]) -> Field {\n let mut hash = leaf;\n for i in 0..160 {\n let dir = bits[i];\n let sibling = merkle_path[i];\n if dir == 0 {\n hash = poseidon2::Poseidon2::hash([hash, sibling], 2);\n } else {\n hash = poseidon2::Poseidon2::hash([sibling, hash], 2);\n }\n }\n hash\n}\n\n#[test]\nfn empty_tree() {\n let mut hash = 0;\n for _ in 0..160 {\n hash = poseidon2::Poseidon2::hash([hash, hash], 2);\n }\n println(\"empty root hash:\");\n println(hash);\n assert(hash == 2473073130432999597457871252851154814051443713747864452328961082127445883391);\n}\n\n#[test(should_fail_with = \"only utxo proof allowed\")]\nfn test_invalid_verification_key_hash() {\n let verification_key = [0; 115];\n let invalid_hash = 1234567890; // Wrong hash\n\n let proofs = [\n AggUtxoProofInput {\n proof: [0; 508],\n utxo_kind: 1,\n input_merkle_paths: [[0; 160]; 2],\n output_merkle_paths: [[0; 160]; 2],\n input_commitments: [0; 2],\n output_commitments: [0; 2],\n },\n AggUtxoProofInput {\n proof: [0; 508],\n utxo_kind: 1,\n input_merkle_paths: [[0; 160]; 2],\n output_merkle_paths: [[0; 160]; 2],\n input_commitments: [0; 2],\n output_commitments: [0; 2],\n },\n AggUtxoProofInput {\n proof: [0; 508],\n utxo_kind: 1,\n input_merkle_paths: [[0; 160]; 2],\n output_merkle_paths: [[0; 160]; 2],\n input_commitments: [0; 2],\n output_commitments: [0; 2],\n },\n ];\n\n // First proof has kind = 1 (non-padding), so it should verify the hash\n let messages = [\n 1, 0, 0, 0, 0, // First proof: kind = 1 (send)\n 0, 0, 0, 0, 0, // Second proof: kind = 0 (padding)\n 0, 0, 0, 0, 0, // Third proof: kind = 0 (padding)\n ];\n let old_root = 2473073130432999597457871252851154814051443713747864452328961082127445883391;\n let new_root = 2473073130432999597457871252851154814051443713747864452328961082127445883391;\n let commit_hash = poseidon2::Poseidon2::hash([0, 0, 0, 0], 4);\n\n // This should fail because the verification key hash is incorrect\n main(\n verification_key,\n invalid_hash,\n proofs,\n messages,\n old_root,\n new_root,\n commit_hash,\n );\n}\n\n#[test]\nfn test_merkle_path_operations() {\n // Test basic merkle path operations\n let leaf: Field = 12345;\n let bits: [u1; 254] = leaf.to_le_bits();\n let merkle_path = [0; 160];\n\n // Test get_merkle_root\n let root = get_merkle_root(leaf, bits, merkle_path);\n assert(root != 0);\n\n // Test get_null_root (should be different from leaf root)\n let null_root = get_null_root(bits, merkle_path);\n assert(null_root != root);\n\n // Test validate_inclusion\n validate_inclusion(leaf, bits, merkle_path, root);\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/agg_utxo/src/main.nr"}},"names":["main"],"brillig_names":["directive_invert","directive_to_radix","directive_integer_quotient"]} \ No newline at end of file +{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"9119947016907982998","abi":{"parameters":[{"name":"verification_key","type":{"kind":"array","length":115,"type":{"kind":"field"}},"visibility":"private"},{"name":"verification_key_hash","type":{"kind":"field"},"visibility":"private"},{"name":"proofs","type":{"kind":"array","length":3,"type":{"kind":"struct","path":"AggUtxoProofInput","fields":[{"name":"proof","type":{"kind":"array","length":508,"type":{"kind":"field"}}},{"name":"utxo_kind","type":{"kind":"field"}},{"name":"input_merkle_paths","type":{"kind":"array","length":2,"type":{"kind":"array","length":160,"type":{"kind":"field"}}}},{"name":"output_merkle_paths","type":{"kind":"array","length":2,"type":{"kind":"array","length":160,"type":{"kind":"field"}}}},{"name":"input_commitments","type":{"kind":"array","length":2,"type":{"kind":"field"}}},{"name":"output_commitments","type":{"kind":"array","length":2,"type":{"kind":"field"}}}]}},"visibility":"private"},{"name":"messages","type":{"kind":"array","length":15,"type":{"kind":"field"}},"visibility":"public"},{"name":"old_root","type":{"kind":"field"},"visibility":"public"},{"name":"new_root","type":{"kind":"field"},"visibility":"public"},{"name":"commit_hash","type":{"kind":"field"},"visibility":"public"}],"return_type":null,"error_types":{"1361552396533323745":{"error_kind":"string","string":"Merkle path root does not match"},"4464234096283008029":{"error_kind":"string","string":"Message is not zero"},"5019202896831570965":{"error_kind":"string","string":"attempt to add with overflow"},"6472615819927606489":{"error_kind":"string","string":"proof 'kind' must match message"},"8689439094417755085":{"error_kind":"string","string":"only utxo proof allowed"},"11199500901091765382":{"error_kind":"string","string":"first proof cannot be a padding proof"},"11818510405527039277":{"error_kind":"string","string":"New root is not valid"},"12161378539035059347":{"error_kind":"string","string":"Field failed to decompose into specified 254 limbs"}}},"bytecode":"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","file_map":{"18":{"source":"pub mod bn254;\nuse crate::{runtime::is_unconstrained, static_assert};\nuse bn254::lt as bn254_lt;\n\nimpl Field {\n /// Asserts that `self` can be represented in `bit_size` bits.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^{bit_size}`.\n // docs:start:assert_max_bit_size\n pub fn assert_max_bit_size(self) {\n // docs:end:assert_max_bit_size\n static_assert(\n BIT_SIZE < modulus_num_bits() as u32,\n \"BIT_SIZE must be less than modulus_num_bits\",\n );\n __assert_max_bit_size(self, BIT_SIZE);\n }\n\n /// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n /// This slice will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_le_bits\n pub fn to_le_bits(self: Self) -> [u1; N] {\n // docs:end:to_le_bits\n let bits = __to_le_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[N - 1 - i] != p[N - 1 - i]) {\n assert(p[N - 1 - i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n /// This array will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_be_bits\n pub fn to_be_bits(self: Self) -> [u1; N] {\n // docs:end:to_be_bits\n let bits = __to_be_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the decomposition does not overflow the modulus\n let p = modulus_be_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[i] != p[i]) {\n assert(p[i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its little endian byte decomposition as a `[u8;N]` array\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_le_bytes\n pub fn to_le_bytes(self: Self) -> [u8; N] {\n // docs:end:to_le_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_le_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[N - 1 - i] != p[N - 1 - i]) {\n assert(bytes[N - 1 - i] < p[N - 1 - i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n /// Decomposes `self` into its big endian byte decomposition as a `[u8;N]` array of length required to represent the field modulus\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_be_bytes\n pub fn to_be_bytes(self: Self) -> [u8; N] {\n // docs:end:to_be_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_be_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_be_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[i] != p[i]) {\n assert(bytes[i] < p[i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n fn to_le_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_le_radix(self, radix)\n }\n\n fn to_be_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_be_radix(self, radix)\n }\n\n // Returns self to the power of the given exponent value.\n // Caution: we assume the exponent fits into 32 bits\n // using a bigger bit size impacts negatively the performance and should be done only if the exponent does not fit in 32 bits\n pub fn pow_32(self, exponent: Field) -> Field {\n let mut r: Field = 1;\n let b: [u1; 32] = exponent.to_le_bits();\n\n for i in 1..33 {\n r *= r;\n r = (b[32 - i] as Field) * (r * self) + (1 - b[32 - i] as Field) * r;\n }\n r\n }\n\n // Parity of (prime) Field element, i.e. sgn0(x mod p) = 0 if x `elem` {0, ..., p-1} is even, otherwise sgn0(x mod p) = 1.\n pub fn sgn0(self) -> u1 {\n self as u1\n }\n\n pub fn lt(self, another: Field) -> bool {\n if crate::compat::is_bn254() {\n bn254_lt(self, another)\n } else {\n lt_fallback(self, another)\n }\n }\n\n /// Convert a little endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_le_bytes(bytes: [u8; N]) -> Field {\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[i] as Field) * v;\n v = v * 256;\n }\n result\n }\n\n /// Convert a big endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_be_bytes(bytes: [u8; N]) -> Field {\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[N - 1 - i] as Field) * v;\n v = v * 256;\n }\n result\n }\n}\n\n#[builtin(apply_range_constraint)]\nfn __assert_max_bit_size(value: Field, bit_size: u32) {}\n\n// `_radix` must be less than 256\n#[builtin(to_le_radix)]\nfn __to_le_radix(value: Field, radix: u32) -> [u8; N] {}\n\n// `_radix` must be less than 256\n#[builtin(to_be_radix)]\nfn __to_be_radix(value: Field, radix: u32) -> [u8; N] {}\n\n/// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n/// This slice will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_le_bits)]\nfn __to_le_bits(value: Field) -> [u1; N] {}\n\n/// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n/// This array will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_be_bits)]\nfn __to_be_bits(value: Field) -> [u1; N] {}\n\n#[builtin(modulus_num_bits)]\npub comptime fn modulus_num_bits() -> u64 {}\n\n#[builtin(modulus_be_bits)]\npub comptime fn modulus_be_bits() -> [u1] {}\n\n#[builtin(modulus_le_bits)]\npub comptime fn modulus_le_bits() -> [u1] {}\n\n#[builtin(modulus_be_bytes)]\npub comptime fn modulus_be_bytes() -> [u8] {}\n\n#[builtin(modulus_le_bytes)]\npub comptime fn modulus_le_bytes() -> [u8] {}\n\n/// An unconstrained only built in to efficiently compare fields.\n#[builtin(field_less_than)]\nunconstrained fn __field_less_than(x: Field, y: Field) -> bool {}\n\npub(crate) unconstrained fn field_less_than(x: Field, y: Field) -> bool {\n __field_less_than(x, y)\n}\n\n// Convert a 32 byte array to a field element by modding\npub fn bytes32_to_field(bytes32: [u8; 32]) -> Field {\n // Convert it to a field element\n let mut v = 1;\n let mut high = 0 as Field;\n let mut low = 0 as Field;\n\n for i in 0..16 {\n high = high + (bytes32[15 - i] as Field) * v;\n low = low + (bytes32[16 + 15 - i] as Field) * v;\n v = v * 256;\n }\n // Abuse that a % p + b % p = (a + b) % p and that low < p\n low + high * v\n}\n\nfn lt_fallback(x: Field, y: Field) -> bool {\n if is_unconstrained() {\n // Safety: unconstrained context\n unsafe {\n field_less_than(x, y)\n }\n } else {\n let x_bytes: [u8; 32] = x.to_le_bytes();\n let y_bytes: [u8; 32] = y.to_le_bytes();\n let mut x_is_lt = false;\n let mut done = false;\n for i in 0..32 {\n if (!done) {\n let x_byte = x_bytes[32 - 1 - i] as u8;\n let y_byte = y_bytes[32 - 1 - i] as u8;\n let bytes_match = x_byte == y_byte;\n if !bytes_match {\n x_is_lt = x_byte < y_byte;\n done = true;\n }\n }\n }\n x_is_lt\n }\n}\n\nmod tests {\n use crate::{panic::panic, runtime};\n use super::field_less_than;\n\n #[test]\n // docs:start:to_be_bits_example\n fn test_to_be_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_be_bits();\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 1, 0]);\n }\n // docs:end:to_be_bits_example\n\n #[test]\n // docs:start:to_le_bits_example\n fn test_to_le_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_le_bits();\n assert_eq(bits, [0, 1, 0, 0, 0, 0, 0, 0]);\n }\n // docs:end:to_le_bits_example\n\n #[test]\n // docs:start:to_be_bytes_example\n fn test_to_be_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_be_bytes();\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_bytes_example\n\n #[test]\n // docs:start:to_le_bytes_example\n fn test_to_le_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_le_bytes();\n assert_eq(bytes, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_bytes_example\n\n #[test]\n // docs:start:to_be_radix_example\n fn test_to_be_radix() {\n // 259, in base 256, big endian, is [1, 3].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_be_radix(256);\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 1, 3]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_radix_example\n\n #[test]\n // docs:start:to_le_radix_example\n fn test_to_le_radix() {\n // 259, in base 256, little endian, is [3, 1].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_le_radix(256);\n assert_eq(bytes, [3, 1, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_radix_example\n\n #[test(should_fail_with = \"radix must be greater than 1\")]\n fn test_to_le_radix_1() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(1);\n } else {\n panic(f\"radix must be greater than 1\");\n }\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be greater than 2\n //#[test]\n //fn test_to_le_radix_brillig_1() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(1);\n // crate::println(out);\n // let expected = [0; 8];\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test(should_fail_with = \"radix must be a power of 2\")]\n fn test_to_le_radix_3() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(3);\n } else {\n panic(f\"radix must be a power of 2\");\n }\n }\n\n #[test]\n fn test_to_le_radix_brillig_3() {\n // this test should only fail in constrained mode\n if runtime::is_unconstrained() {\n let field = 1;\n let out: [u8; 8] = field.to_le_radix(3);\n let mut expected = [0; 8];\n expected[0] = 1;\n assert(out == expected, \"unexpected result\");\n }\n }\n\n #[test(should_fail_with = \"radix must be less than or equal to 256\")]\n fn test_to_le_radix_512() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(512);\n } else {\n panic(f\"radix must be less than or equal to 256\")\n }\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n unconstrained fn not_enough_limbs_brillig() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n fn not_enough_limbs() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be less than 512\n //#[test]\n //fn test_to_le_radix_brillig_512() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(512);\n // let mut expected = [0; 8];\n // expected[0] = 1;\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test]\n unconstrained fn test_field_less_than() {\n assert(field_less_than(0, 1));\n assert(field_less_than(0, 0x100));\n assert(field_less_than(0x100, 0 - 1));\n assert(!field_less_than(0 - 1, 0));\n }\n}\n","path":"std/field/mod.nr"},"22":{"source":"pub mod hash;\npub mod aes128;\npub mod array;\npub mod slice;\npub mod ecdsa_secp256k1;\npub mod ecdsa_secp256r1;\npub mod embedded_curve_ops;\npub mod field;\npub mod collections;\npub mod compat;\npub mod convert;\npub mod option;\npub mod string;\npub mod test;\npub mod cmp;\npub mod ops;\npub mod default;\npub mod prelude;\npub mod runtime;\npub mod meta;\npub mod append;\npub mod mem;\npub mod panic;\npub mod hint;\n\nuse convert::AsPrimitive;\n\n// Oracle calls are required to be wrapped in an unconstrained function\n// Thus, the only argument to the `println` oracle is expected to always be an ident\n#[oracle(print)]\nunconstrained fn print_oracle(with_newline: bool, input: T) {}\n\nunconstrained fn print_unconstrained(with_newline: bool, input: T) {\n print_oracle(with_newline, input);\n}\n\npub fn println(input: T) {\n // Safety: a print statement cannot be constrained\n unsafe {\n print_unconstrained(true, input);\n }\n}\n\npub fn print(input: T) {\n // Safety: a print statement cannot be constrained\n unsafe {\n print_unconstrained(false, input);\n }\n}\n\n/// Asserts the validity of the provided proof and public inputs against the provided verification key and hash.\n///\n/// The ACVM cannot determine whether the provided proof is valid during execution as this requires knowledge of\n/// the backend against which the program is being proven. However if an invalid proof if submitted, the program may\n/// fail to prove or the backend may generate a proof which will subsequently fail to verify.\n///\n/// # Important Note\n///\n/// If you are not developing your own backend such as [Barretenberg](https://github.com/AztecProtocol/barretenberg)\n/// you probably shouldn't need to interact with this function directly. It's easier and safer to use a verification\n/// library which is published by the developers of the backend which will document or enforce any safety requirements.\n///\n/// If you use this directly, you're liable to introduce underconstrainedness bugs and *your circuit will be insecure*.\n///\n/// # Arguments\n/// - verification_key: The verification key of the circuit to be verified.\n/// - proof: The proof to be verified.\n/// - public_inputs: The public inputs associated with `proof`\n/// - key_hash: The hash of `verification_key` of the form expected by the backend.\n/// - proof_type: An identifier for the proving scheme used to generate the proof to be verified. This allows\n/// for a single backend to support verifying multiple proving schemes.\n///\n/// # Constraining `key_hash`\n///\n/// The Noir compiler does not by itself constrain that `key_hash` is a valid hash of `verification_key`.\n/// This is because different backends may differ in how they hash their verification keys.\n/// It is then the responsibility of either the noir developer (by explicitly hashing the verification key\n/// in the correct manner) or by the proving system itself internally asserting the correctness of `key_hash`.\npub fn verify_proof_with_type(\n verification_key: [Field; N],\n proof: [Field; M],\n public_inputs: [Field; K],\n key_hash: Field,\n proof_type: u32,\n) {\n if !crate::runtime::is_unconstrained() {\n crate::assert_constant(proof_type);\n }\n verify_proof_internal(verification_key, proof, public_inputs, key_hash, proof_type);\n}\n\n#[foreign(recursive_aggregation)]\nfn verify_proof_internal(\n verification_key: [Field; N],\n proof: [Field; M],\n public_inputs: [Field; K],\n key_hash: Field,\n proof_type: u32,\n) {}\n\n// Asserts that the given value is known at compile-time.\n// Useful for debugging for-loop bounds.\n#[builtin(assert_constant)]\npub fn assert_constant(x: T) {}\n\n// Asserts that the given value is both true and known at compile-time.\n// The message can be a string, a format string, or any value, as long as it is known at compile-time\n#[builtin(static_assert)]\npub fn static_assert(predicate: bool, message: T) {}\n\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_add(y)\")]\npub fn wrapping_add(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n AsPrimitive::as_(x.as_() + y.as_())\n}\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_sub(y)\")]\npub fn wrapping_sub(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n //340282366920938463463374607431768211456 is 2^128, it is used to avoid underflow\n AsPrimitive::as_(x.as_() + 340282366920938463463374607431768211456 - y.as_())\n}\n#[deprecated(\"wrapping operations should be done with the Wrapping traits. E.g: x.wrapping_mul(y)\")]\npub fn wrapping_mul(x: T, y: T) -> T\nwhere\n T: AsPrimitive,\n Field: AsPrimitive,\n{\n AsPrimitive::as_(x.as_() * y.as_())\n}\n\n#[builtin(as_witness)]\npub fn as_witness(x: Field) {}\n\nmod tests {\n use super::ops::arith::WrappingMul;\n\n #[test(should_fail_with = \"custom message\")]\n fn test_static_assert_custom_message() {\n super::static_assert(1 == 2, \"custom message\");\n }\n\n #[test]\n fn test_wrapping_mul() {\n let zero: u128 = 0;\n let one: u128 = 1;\n let two_pow_64: u128 = 0x10000000000000000;\n let u128_max: u128 = 0xffffffffffffffffffffffffffffffff;\n\n // 1*0==0\n assert_eq(zero, zero.wrapping_mul(one));\n\n // 0*1==0\n assert_eq(zero, one.wrapping_mul(zero));\n\n // 1*1==1\n assert_eq(one, one.wrapping_mul(one));\n\n // 0 * ( 1 << 64 ) == 0\n assert_eq(zero, zero.wrapping_mul(two_pow_64));\n\n // ( 1 << 64 ) * 0 == 0\n assert_eq(zero, two_pow_64.wrapping_mul(zero));\n\n // 1 * ( 1 << 64 ) == 1 << 64\n assert_eq(two_pow_64, two_pow_64.wrapping_mul(one));\n\n // ( 1 << 64 ) * 1 == 1 << 64\n assert_eq(two_pow_64, one.wrapping_mul(two_pow_64));\n\n // ( 1 << 64 ) * ( 1 << 64 ) == 1 << 64\n assert_eq(zero, two_pow_64.wrapping_mul(two_pow_64));\n // -1 * -1 == 1\n assert_eq(one, u128_max.wrapping_mul(u128_max));\n }\n}\n","path":"std/lib.nr"},"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"62":{"source":"use dep::std;\nuse common::is_one_of;\nuse poseidon::poseidon2;\n\nglobal UTXO_VERIFICATION_KEY_HASH: Field =\n 18779959434705083215725546760451184879298382931437993861134690217528836166710;\n\nstruct AggUtxoProofInput {\n proof: [Field; 508],\n utxo_kind: Field,\n input_merkle_paths: [[Field; 160]; 2],\n output_merkle_paths: [[Field; 160]; 2],\n input_commitments: [Field; 2],\n output_commitments: [Field; 2],\n}\n\nfn main(\n verification_key: [Field; 115],\n verification_key_hash: Field,\n proofs: [AggUtxoProofInput; 3],\n messages: pub [Field; 15],\n old_root: pub Field,\n new_root: pub Field,\n commit_hash: pub Field,\n) {\n // Hardcode verification_key_hash for utxo proof\n assert(verification_key_hash == UTXO_VERIFICATION_KEY_HASH, \"only utxo proof allowed\");\n\n let mut root = old_root;\n let mut utxo_hashes: [Field; 3] = [0, 0, 0];\n let mut messages_index = 0;\n\n let mut first_public_inputs: [Field; 9] = [0; 9];\n for i in 0..3 {\n let proof = proofs[i];\n let input_commitments = proof.input_commitments;\n let output_commitments = proof.output_commitments;\n\n let utxo_kind = proof.utxo_kind;\n let is_padding = utxo_kind == 0;\n let is_proof_kind_mint_or_burn = is_one_of(utxo_kind, [2, 3]);\n let is_burn = utxo_kind == 3;\n\n let mut msg_note_kind = 0;\n let mut msg_value = 0;\n let mut msg_hash = 0;\n let mut msg_burn_addr = 0;\n\n if is_proof_kind_mint_or_burn {\n assert(messages[messages_index] == utxo_kind, \"proof 'kind' must match message\");\n msg_note_kind = messages[messages_index + 1];\n msg_value = messages[messages_index + 2];\n msg_hash = messages[messages_index + 3];\n messages_index += 4;\n }\n\n if is_burn {\n msg_burn_addr = messages[messages_index];\n messages_index += 1;\n }\n\n utxo_hashes[i] = poseidon2::Poseidon2::hash(\n [\n input_commitments[0],\n input_commitments[1],\n output_commitments[0],\n output_commitments[1],\n ],\n 4,\n );\n\n // Verify non-padding proofs\n let public_inputs = [\n input_commitments[0],\n input_commitments[1],\n output_commitments[0],\n output_commitments[1],\n utxo_kind,\n msg_note_kind,\n msg_value,\n msg_hash,\n msg_burn_addr,\n ];\n\n // Capture the public_inputs on first iter\n if (i == 0) {\n // First proof must ALWAYS be a real proof\n assert(!is_padding, \"first proof cannot be a padding proof\");\n // and we will use that proof\n first_public_inputs = public_inputs;\n }\n\n // Due to a limitation in noir, verify_proof_with_type will ALWAYS\n // be run regardless of whether its inside an if statement, so we need\n // to form a valid proof. As first proof cannot be a dummy proof, we can\n // use the first proof for padding elements\n std::verify_proof_with_type(\n verification_key,\n if (is_padding) {\n proofs[0].proof\n } else {\n proof.proof\n },\n if (is_padding) {\n first_public_inputs\n } else {\n public_inputs\n },\n verification_key_hash,\n 7,\n );\n\n if (!is_padding) {\n // Input commitments\n for j in 0..2 {\n let commitment = input_commitments[j];\n\n if commitment != 0 {\n let bits: [u1; 254] = commitment.to_le_bits();\n let merkle_path = proof.input_merkle_paths[j];\n\n // Check it exists in the old tree\n validate_inclusion(commitment, bits, merkle_path, root);\n\n // Calculate new root without the input commitment\n root = get_null_root(bits, merkle_path);\n }\n }\n\n // Output commitments\n for j in 0..2 {\n let commitment = output_commitments[j];\n\n if commitment != 0 {\n let bits: [u1; 254] = commitment.to_le_bits();\n let merkle_path = proof.output_merkle_paths[j];\n\n // Checks the merkle path leads to the existing root\n validate_null(bits, merkle_path, root);\n\n // Calculate new root with added output commitments\n root = get_merkle_root(commitment, bits, merkle_path);\n }\n }\n }\n }\n\n // Verify all other messages are zero\n for i in 0..messages.len() {\n if i >= messages_index {\n assert(messages[i] == 0, \"Message is not zero\");\n }\n }\n\n assert(root == new_root, \"New root is not valid\");\n assert(commit_hash == poseidon2::Poseidon2::hash(utxo_hashes, 3));\n}\n\nfn validate_inclusion(leaf: Field, bits: [u1; 254], merkle_path: [Field; 160], root: Field) {\n let merkle_root = get_merkle_root(leaf, bits, merkle_path);\n assert(merkle_root == root, \"Merkle path root does not match\");\n}\n\nfn validate_null(bits: [u1; 254], merkle_path: [Field; 160], root: Field) {\n let merkle_root = get_null_root(bits, merkle_path);\n assert(merkle_root == root, \"Merkle path root does not match\");\n}\n\nfn get_null_root(bits: [u1; 254], merkle_path: [Field; 160]) -> Field {\n get_merkle_root(0, bits, merkle_path)\n}\n\nfn get_merkle_root(leaf: Field, bits: [u1; 254], merkle_path: [Field; 160]) -> Field {\n let mut hash = leaf;\n for i in 0..160 {\n let dir = bits[i];\n let sibling = merkle_path[i];\n if dir == 0 {\n hash = poseidon2::Poseidon2::hash([hash, sibling], 2);\n } else {\n hash = poseidon2::Poseidon2::hash([sibling, hash], 2);\n }\n }\n hash\n}\n\n#[test]\nfn empty_tree() {\n let mut hash = 0;\n for _ in 0..160 {\n hash = poseidon2::Poseidon2::hash([hash, hash], 2);\n }\n println(\"empty root hash:\");\n println(hash);\n assert(hash == 2473073130432999597457871252851154814051443713747864452328961082127445883391);\n}\n\n#[test(should_fail_with = \"only utxo proof allowed\")]\nfn test_invalid_verification_key_hash() {\n let verification_key = [0; 115];\n let invalid_hash = 1234567890; // Wrong hash\n\n let proofs = [\n AggUtxoProofInput {\n proof: [0; 508],\n utxo_kind: 1,\n input_merkle_paths: [[0; 160]; 2],\n output_merkle_paths: [[0; 160]; 2],\n input_commitments: [0; 2],\n output_commitments: [0; 2],\n },\n AggUtxoProofInput {\n proof: [0; 508],\n utxo_kind: 1,\n input_merkle_paths: [[0; 160]; 2],\n output_merkle_paths: [[0; 160]; 2],\n input_commitments: [0; 2],\n output_commitments: [0; 2],\n },\n AggUtxoProofInput {\n proof: [0; 508],\n utxo_kind: 1,\n input_merkle_paths: [[0; 160]; 2],\n output_merkle_paths: [[0; 160]; 2],\n input_commitments: [0; 2],\n output_commitments: [0; 2],\n },\n ];\n\n // First proof has kind = 1 (non-padding), so it should verify the hash\n let messages = [\n 1, 0, 0, 0, 0, // First proof: kind = 1 (send)\n 0, 0, 0, 0, 0, // Second proof: kind = 0 (padding)\n 0, 0, 0, 0, 0, // Third proof: kind = 0 (padding)\n ];\n let old_root = 2473073130432999597457871252851154814051443713747864452328961082127445883391;\n let new_root = 2473073130432999597457871252851154814051443713747864452328961082127445883391;\n let commit_hash = poseidon2::Poseidon2::hash([0, 0, 0, 0], 4);\n\n // This should fail because the verification key hash is incorrect\n main(\n verification_key,\n invalid_hash,\n proofs,\n messages,\n old_root,\n new_root,\n commit_hash,\n );\n}\n\n#[test]\nfn test_merkle_path_operations() {\n // Test basic merkle path operations\n let leaf: Field = 12345;\n let bits: [u1; 254] = leaf.to_le_bits();\n let merkle_path = [0; 160];\n\n // Test get_merkle_root\n let root = get_merkle_root(leaf, bits, merkle_path);\n assert(root != 0);\n\n // Test get_null_root (should be different from leaf root)\n let null_root = get_null_root(bits, merkle_path);\n assert(null_root != root);\n\n // Test validate_inclusion\n validate_inclusion(leaf, bits, merkle_path, root);\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/agg_utxo/src/main.nr"}},"names":["main"],"brillig_names":["directive_invert","directive_to_radix","directive_integer_quotient"]} \ No newline at end of file diff --git a/fixtures/programs/hyli_utxo.json b/fixtures/programs/hyli_utxo.json index 1244a65..73769bf 100644 --- a/fixtures/programs/hyli_utxo.json +++ b/fixtures/programs/hyli_utxo.json @@ -1 +1 @@ -{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"11647792896303139496","abi":{"parameters":[{"name":"version","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"initial_state_len","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"initial_state","type":{"kind":"array","length":4,"type":{"kind":"integer","sign":"unsigned","width":8}},"visibility":"public"},{"name":"next_state_len","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"next_state","type":{"kind":"array","length":4,"type":{"kind":"integer","sign":"unsigned","width":8}},"visibility":"public"},{"name":"identity_len","type":{"kind":"integer","sign":"unsigned","width":8},"visibility":"public"},{"name":"identity","type":{"kind":"string","length":256},"visibility":"public"},{"name":"tx_hash","type":{"kind":"string","length":64},"visibility":"public"},{"name":"index","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"blob_number","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"blob_index","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"blob_contract_name_len","type":{"kind":"integer","sign":"unsigned","width":8},"visibility":"public"},{"name":"blob_contract_name","type":{"kind":"string","length":256},"visibility":"public"},{"name":"blob_capacity","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"blob_len","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"blob","type":{"kind":"array","length":128,"type":{"kind":"integer","sign":"unsigned","width":8}},"visibility":"public"},{"name":"tx_blob_count","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"success","type":{"kind":"boolean"},"visibility":"public"},{"name":"input_notes","type":{"kind":"array","length":2,"type":{"kind":"struct","path":"common::InputNote","fields":[{"name":"note","type":{"kind":"struct","path":"common::Note","fields":[{"name":"kind","type":{"kind":"field"}},{"name":"value","type":{"kind":"field"}},{"name":"address","type":{"kind":"field"}},{"name":"psi","type":{"kind":"field"}}]}},{"name":"secret_key","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"output_notes","type":{"kind":"array","length":2,"type":{"kind":"struct","path":"common::Note","fields":[{"name":"kind","type":{"kind":"field"}},{"name":"value","type":{"kind":"field"}},{"name":"address","type":{"kind":"field"}},{"name":"psi","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"pmessage4","type":{"kind":"field"},"visibility":"private"},{"name":"commitments","type":{"kind":"array","length":4,"type":{"kind":"field"}},"visibility":"public"},{"name":"messages","type":{"kind":"array","length":5,"type":{"kind":"field"}},"visibility":"public"}],"return_type":null,"error_types":{"285656119219400463":{"error_kind":"string","string":"Field failed to decompose into specified 32 limbs"},"1680776573889254733":{"error_kind":"string","string":"blob capacity must be 128 bytes"},"1714809443410094063":{"error_kind":"string","string":"Padding notes must be zero value"},"2309186114595128024":{"error_kind":"string","string":"transaction must provide enough blobs"},"2729061851012865270":{"error_kind":"string","string":"exactly one blob is expected"},"3692929699516101711":{"error_kind":"string","string":"blob must match concatenated commitments"},"3898381286344942305":{"error_kind":"string","string":"Input note is not owned by the owner"},"5851673573934815162":{"error_kind":"string","string":"Mint note kind must match message"},"6441031214723128659":{"error_kind":"string","string":"blob length must be 128 bytes"},"6485997221020871071":{"error_kind":"string","string":"call to assert_max_bit_size"},"6661914514907183551":{"error_kind":"string","string":"Note commitment is not valid"},"8113810225559518305":{"error_kind":"string","string":"unsupported Hyli output version"},"8608850205409006559":{"error_kind":"string","string":"initial_state must be 4 bytes"},"8981409365392375781":{"error_kind":"string","string":"next_state must be 4 bytes"},"9733062431596745772":{"error_kind":"string","string":"Input and output totals do not match"},"10443210886677245255":{"error_kind":"string","string":"Burn note kind must match message"},"11163426053785103653":{"error_kind":"string","string":"blob index must align with invocation index"},"12476573426903251686":{"error_kind":"string","string":"blob contract name must be 9 bytes"},"12775174927910757886":{"error_kind":"string","string":"Inconsistent kinds are not allowed"},"12948852497587922262":{"error_kind":"string","string":"messages[4] must match private input"},"13494519577077120575":{"error_kind":"string","string":"contract execution must succeed"},"14111565803291724431":{"error_kind":"string","string":"identity length overflow"},"14672809696058342244":{"error_kind":"string","string":"Burn output must match value message"},"15138347411163958997":{"error_kind":"string","string":"Mint hash must match message"},"15819538689241197369":{"error_kind":"string","string":"Invalid kind"},"17828285616048074783":{"error_kind":"string","string":"Mint output must match value message"},"18075917454431129723":{"error_kind":"string","string":"Burn hash must match 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t0fA2PzPt0dXggtj5Hi6MLYlLreDff9CMC5tycPA8yfQongH7suThEsaV2UIGnyVwP0hVxteyGq/rxa6/pl8bW5niutx6a7NXUO/X0u4jnB9xt88Onm94c4Daq30WNcIXCJDvmzwGkuTy26h5HJDhqDBNwgklxsNTy7a7xsDSi5vH0JyuYl+v5lwC+FWweTyljsPqLXSY90kkFyQLza7KUN2vQ/lzbC3kU23E+4g3Jlh15thbwPGT39LLsEh3wx7O3D+BgjHdn9Pzhrg+XyH5/OdSbnsLvr9bsI9hIEZqR8jf5dnjLs9n+/xfB6YNPYg+n0wYQjh3gzZN8MOyjD7zbCDAsxrB/oCzKFk0zDCcMKIAPIa8pwYCtyXIy3Ja8gXYA4Dzt8o4dge6ckxozyfh3s+j0jKPaPp9zGEsYT70uS10Z4xxng+j/V8vi9p7HH0+3jCBMJEwbymHxg7LsPsF2COCzCvHeh7/iaRTZMJUwhTA8hr7wLncxJwX06zJK8h3/M3GTh/9wvH9jRPjrnf83mK5/PUpNwznX6fQZhJmJUmr033jDHD83mm5/OspLFn0+9zCA8QHkyT1xx/TennKc4W+NYb+J4/2CvIHiI/HybMJcwLIBchX0H2EHAvPWJJLkK+guxh4Pw9KpyLHvHkhUc9n+d6Ps9LyheP0e+PE+YTFqTJRY95xnjc83m+5/OCpLGfoN+fJDxFWCiYi/TTAZ4QyEWfCeeiNz05J9UFkuTvLZ+m358hPEt4Ls167fGM9/YBjv08/f4C4UXCSxl//zGUrl2L96i3odcRqNUdxlzQ2NlyY6u/L0ron/Xcz4to8hcTXiYsISwlLCMsJ6wgrCSsIqwmrCGsJawjrCe8QthA2EjYRHiVsJmwhfAaYSthG+F1wnbCDsIbhDcJOwm7Mlxjin9qYyJJ3GKGe5nhljDcUoZbxnDLGW4Fw61kuFUMt5rh1jDcWoZbx3DrGe4VhtvAcBsZbhPDvcpwmxluC8O9xnBbGW4bw73OcNsZbgfDvcFwbzLcTobb5XLeVt/92cT96fhrCUnH74GxKAN1O6ijFoPG0j6+DBnrv/O1xP9Y2e58qaV+x8r539yrZf7GcjzrqJb7GSs7ISbUikMfy0mKL7XyEMfKLfpHrKpVhzZWlIl7tfpQxoqye0itOfix8lLsR7X2YMfKS7m31bqDGys7TZ5Q6w9mrLy0OUe9cuBj5f9L/lIbDnSsvH/NhWrjgY3lHEBeVZsOZCzngHK0evXfx2p0gPlebf63sXIO+OxQW9KOlVN0EOeQei3dWHkHdaapranHih7k+ai2pRgrVnTQZ616nR/LOYRzW23nxnIOqQZQO/45ljrEekK9kTxWwSHXJurNxLEa+qhz1E7PWNlFvmomtSvDzjvRdsFqvQLltXd3hqDBevBSSeP6NX43bgHVW4BJlbyrTc+hthH1TVPxHL4F3gTavlIlgt0Ejq9WIPqtincu9rgb7O3kbzb2uAvr5d5mFGiG4CT6VY17gBvobfDiooNPb5o9wM1Y7PceS0+knbA4ihV47X0nQ9Dgd+AnUqzgHeCJtNfwE0nP4V74iRQr2GvpibQTZncsnzFX5ER6191g7yWfSO8yJ9J7AZxIO4En0rvADfSe0OKib85C+vw+MJmVKIE/Ld9yE1ApcAwipcA+YDLj5tDx15Re430Clcw+cBL3+u5t6Pl4E5Z/4g299n6QIWjwB/BKJt7wA+Dm/9DwSkbP4YfwSibe8EPhzY9IoPsMT6AfgeewuKEPXmSMfwzce0FWwG/C7I5nM+aKVMCfuIn50+QK+BOmAv40gAoYdwI56hNgUH4qtLjojYj0+TPhCtjx15ROjh8LVG+fG1616nX53AK/pWL8c2CMf2F4jKcqUhDFD2qsL8EHtncevQ09t2/AzppowiO2v8oQNPgruNqJFn0FXMCvDVc7eg6/hqudaNHXhqsdnei+zDA7GX8DTsbFDe0zMsa/tVTtvAGzO1rImCuidr5zE/P3yWrnO0btfB+A2sGdQI76DhiU3wstLnojIn3+wfBKUCfHbwWq/h8NVzt6XX60wG+pGP8RGOM/GR7jqYoUx19TyCLlZ0uv7eyAnTXZCU/w+yVD0OBf4Gon2/kFuAl+NVzt6Dn8Fa52sp1fDVc7OtH9nGF2Mv7NErWDjPHfLVU7O2B2qyLGXBG184ebmPcnq50/GLWzPwC1gzuBHPUHMCj3Cy0ueiMiff7T8EpQJ8ffBar+vwxXO3pd/rLAb6kY/wtZUIXMjvFURYrjrylkkVISN4eBqp3tsLOmIEHtlAoJGqwHx6qdAqcUcBNkhMxWO3oOtY3gvxJzMkKyhwYi0ZUMmZ2MQ+Bk/L8NCfYZGeOZQJ+DVDvbYcVCfmBqJ8tNzOHiiSpWNlmhf6od/R9Jq53tQLWTBQzKcEhmcdEbEelzxPBKUCfHzBD+YCgtfHA5/prS61LaAr+lYrw0MMbLGB7jqYoUx19TyCKlrKVq53XYWZOb8EyMciFBg8vB1U6uKgfcBOUNVzt6DsvD1U5ugt+Oz8b5jUh0ZUNmJ+MKlqgdZIxXtFTtvA5TO7mBPUulkpuYKyernUqM2qkcgNp5Hah2KgGDsnJIZnHRGxHp82GGV4I6OVYUqPoPN1zt6HU53AK/pWL8cGCMVzE8xlMVKY6/ppBFSlVL1c423LWdqNfeaiFBg6vhr+1EqwE3QXXD1Y6ew+r4azvR6oarHZ3oqobMTsY1LFE7yBivaana2QZTOwV5jLkiaqeWm5hrJ6udWozaqR2A2tkGVDu1gEFZOySzuOiNiPS5juGVoE6ONQWq/iMMVzt6XY6wwG+pGD8CGONHGh7jqYoUx19TyCKlrqVqZyvsrMmJee2tFxI0uB5c7eTE6gE3QX3D1Y6ew/pwtZMTq2+42tGJrm7I7GR8lCVqBxnjR1uqdrbC1E5OlDFXRO0c4ybmBslq5xhG7TQIQO1sBaqdY4BB2SAks7jojYj0+VjDK0GdHI8WqPqPM1zt6HU5zgK/pWL8OGCMH294jKcqUhx/TSGLlBMsVTuvwc6aeMKdbCeGBA0+Ea524upE4CY4yXC1o+fwJLjaiSf47fhsnN+IRHdCyOxkfLIlagcZ46dYqnZeg6mdeGB3sp3qJubTktXOqYzaOS0AtfMaUO2cCgzK00Iyi4veiEifHcMrQZ0cTxGo+pXhakevi7LAb6kYV8AYzzY8xlMVKY6/ppBFSkNL1c4WnNrJ99qbExI0OAevdvJzgJugkeFqR89hI7zayW9kuNrRia5hyOxknGuJ2kHGeJ6lamcLTu3EGXNF1E7UTcyxZLUTZdROLAC1swWodqLAoIyFZBYXvRGRPp9ueCWok2OeQNV/huFqR6/LGRb4LRXjZwBjvLHhMZ6qSHH8NYUsUs60VO1sxt3JFvfae1ZI0OCz8Heyxc8CboKzDVc7eg7Pxt/JFj/bcLWjE92ZIbOTcRNL1A4yxs+xVO1sxt3J1o8xV0TtnOsm5qbJaudcRu00DUDtbAaqnXOBQdk0JLO46I2I9LmZ4ZWgTo7nCFT9zQ1XO3pdmlvgt1SMNwfGeAvDYzxVkeL4awpZpLS0VO28CjtroglPoG4VEjS4FVztRJ1WwE3Q2nC1o+ewNVztRJ3WhqsdnehahsxOxm0sUTvIGG9rqdp5FaZ28gJ7AnU7NzG3T1Y77Ri10z4AtfMqUO20AwZl+5DM4qI3ItLn8wyvBHVybCtQ9XcwXO3odelggd9SMd4BGOPnGx7jqYoUx19TyCKlo6VqZ5OQ2ukUEjS4k4Da6QTcBJ0NVzt6DjsLqJ3Ohqsdneg6hsxOxl0sUTvIGL/AUrWzyUK109VNzN2S1U5XRu10C0DtbAKqna7AoOxmidpB+nyh4ZWgTo4XCFT93Q1XO3pdulvgt1SMdwfGeA/DYzxVkeL4awpZpPS0VO1shJ01/RKeydYrJGhwL7ja6RfrBdwEvQ1XO3oOe8PVTr9Yb8PVjk50PUNmJ+M+lqgdZIxfZKna2QhTO/0CeyZbXzcx90tWO30ZtdMvALWzEah2+gKDsl9IZnHRGxHpc9zwSlAnx4sEqv58w9WOXpd8C/yWivF8YIwXGB7jqYoUx19TyCKl0FK1swGndnK89haFBA0uwqudnCLgJrjYcLWj5/BivNrJudhwtaMTXWHI7GR8iSVqBxnjl1qqdjbg1E5DxlwRtXOZm5gvT1Y7lzFq5/IA1M4GoNq5DBiUl4dkFhe9EZE+X2F4JaiT46UCVf+VhqsdvS5XWuC3VIxfCYzxqwyP8VRFiuOvKWSRcrWlaucV3NtFE67tXBMSNPgauNopiF0D3ATXGq529BxeC1c7BbFrDVc7OtFdHTI7GV9nidpBxvj1lqqdV3BvFw3s2s4NbmK+MVnt3MConRsDUDuvANXODcCgvDEks7jojYj0+SbDK0GdHK8XqPpvNlzt6HW52QK/pWL8ZmCM32J4jKcqUhx/TSGLlFstVTvrYWdNfqHX3ttCggbfBlc7+YW3ATfB7YarHT2Ht8PVTn7h7YarHZ3obg2ZnYzvsETtIGP8TkvVznqY2skvYMwVUTv93cQ8IFnt9GfUzoAA1M56oNrpDwzKASGZxUVvRKTPdxleCerkeKdA1X+34WpHr8vdFvgtFeN3A2P8HsNjPFWR4vhrClmkDLRU7ayDnTUq4drOoJCgwYPgakfFBgE3wWDD1Y6ew8FwtaNigw1XOzrRDQyZnYyHWKJ2kDF+r6VqZx1M7ajAru0MdRPzsGS1M5RRO8MCUDvrgGpnKDAoh4VkFhe9EZE+Dze8EtTJ8V6Bqn+E4WpHr8sIC/yWivERwBgfaXiMpypSHH9NIYuUUZaqnbW4t4smqJ3RIUGDR8PVTjw2GrgJxhiudvQcjoGrnXhsjOFqRye6USGzk/FYS9QOMsbvs1TtrMW9XTQwtTPOTczjk9XOOEbtjA9A7awFqp1xwKAcH5JZXPRGRPo8wfBKUCfH+wSq/omGqx29LhMt8FsqxicCY3yS4TGeqkhx/DWFLFImW6p21uCeQB312jslJGjwFLjaiUanADfBVMPVjp7DqXC1E41ONVzt6EQ3OWR2Mp5midpBxvj9lqqdNTC1E81jzBVRO9PdxDwjWe1MZ9TOjADUzhqg2pkODMoZIZnFRW9EpM8zDa8EdXK8X6Dqn2W42tHrMssCv6VifBYwxmcbHuOpihTHX1PIImWOpWpnNeysyUlQOw+EBA1+AK52cqIPADfBg4arHT2HD8LVTk70QcPVjk50c0JmJ+OHLFE7yBh/2FK1sxqmdnICUztz3cQ8L1ntzGXUzrwA1M5qoNqZCwzKeSGZxUVvRKTPjxheCerk+LBA1f+o4WpHr8ujFvgtFeOPAmP8McNjPFWR4vhrClmkPG6p2lkFO2tiymvv/JCgwfPhaiem5gM3wQLD1Y6ewwVwtRNL8Nvx2Ti/EYnu8ZDZyfgJS9QOMsaftFTtrIKpnZjDmCuidp5yE/PCZLXzFKN2FgagdlYB1c5TwKBcGJJZXPRGRPr8tOGVoE6OTwpU/c8Yrnb0ujxjgd9SMf4MMMafNTzGUxUpjr+mkEXKc5aqnZWwsybP8dr7fEjQ4OfhaifPeR64CV4wXO3oOXwBrnbynBcMVzs60T0XMjsZv2iJ2kHG+EuWqp2VMLWTW8SYK6J2FrmJeXGy2lnEqJ3FAaidlUC1swgYlItDMouL3ohIn182vBLUyfElgap/ieFqR6/LEgv8lorxJcAYX2p4jKcqUhx/TSGLlGWWqp0VuKcUJDyBenlI0ODlcLUTL1wO3AQrDFc7eg5XwNVOvHCF4WpHJ7plIbOT8UpL1A4yxldZqnZW4J5SUMCYK6J2VruJeU2y2lnNqJ01AaidFUC1sxoYlGtCMouL3ohIn9caXgnq5LhKoOpfZ7ja0euyzgK/pWJ8HTDG1xse46mKFMdfU8gi5RVL1c5y2FmTnXBtZ0NI0OANcLWT7WwAboKNhqsdPYcb4Won29louNrRie6VkNnJeJMlagcZ469aqnaW455AHdi1nc1uYt6SrHY2M2pnSwBqZzlQ7WwGBuWWkMziojci0ufXDK8EdXJ8VaDq32q42tHrstUCv6VifCswxrcZHuOpihTHX1PIIuV1S9XOMtxZk++1d3tI0ODtcLXj5G8HboIdhqsdPYc74GrHyd9huNrRie71kNnJ+A1L1A4yxt+0VO0sg6kdJ86YK6J2drqJeVey2tnJqJ1dAagd4AmkdgKDcldIZnHRGxHp827DK0GdHN8UqPrfMlzt6HV5ywK/pWL8LWCM7zE8xlMVKY6/ppBFytuWqp2lsLMmN+FOtndCgga/A1c7uYXvADfBXsPVjp7DvXC1k1u413C1oxPd2yGzk/G7lqgdZIy/Z6naWYr7u50CxlwRtfO+m5j3Jaud9xm1sy8AtbMUqHbeBwblvpDM4qI3ItLnDwyvBHVyfE+g6v/QcLWj1+VDC/yWivEPgTH+keExnqpIcfw1hSxSPrZU7SyBnTUq4Zlsn4QEDf4ErnaU+gS4CT41XO3oOfwUrnZUgt+Oz8b5jUh0H4fMTsafWaJ2kDH+uaVqZwnuTrbAnsn2hZuYv0xWO18waufLANTOEqDa+QIYlF+GZBYXvRGRPn9leCWok+PnAlX/14arHb0uX1vgt1SMfw2M8W8Mj/FURYrjrylkkfKtpWrnZdzNGAl/t/NdSNDg70L4cb83XKFov78P/T3BoHFFVIVOKN+GzE56P1iiKpBx+aNwokesyY8CMR5kQl0slFB/Cgka/JNAQv3Z8ISq/f45oITq+GtKb4yfQzIbDuV3kJtsUQZuDrz2/hISNPgXgRPxF2BG/9XwDavn8FeBTfCr4d/R6k36q4D8+QG43r8Z/nWBjp3fhJJ9cUPv7d+A6/O74RI/lWJw/DWFVAx/GB7jeo3/ECjkkHEYcvdJ8Vfm3oa2+5NSMvu8BNTObNHrHCU9c1vP/byfFuFPwl96MTKpj1CKkEEIETIJWYQwIUIoTShDKEsoRyhPqECoSKhEqEw4jHA4oQqhKqEaoTqhBqEmoRahNqFOZonE6yn73espXu5PhvuL4bTxyVxJhivFcBkMF2K4TIbLYrgww0UYrjTDlWG4sgxXjuHKM1wFhqvIcJUYrjLDHcZwhzNcFYarynDVGK46w9VguJoMV4vhajNcncx/Xrur7/5s4v50/LWEpOM3We4HJN7i64B/gsbSPv4FGeu/86X3sM+xst35UiX9jpXzv7lXpfyN5XjWUWX4GSs7ISZU6NDHcpLiS2Ue4li5Rf+IVZV1aGNFmbhX4UMZK8ruIRU5+LHyUuxHVfpgx8pLubdVmYMbKztNnlBlD2asvLQ5R5U78LHy/yV/qfIHOlbev+ZCVeHAxnIOIK+qigcylnNAOVpV+vexGh1gvleV/22snAM+O9RhacfKKTqIc0gdnm6svIM601SV1GNFD/J8VFVTjBUrOuizVlXjx3IO4dxW1bmxnEOqAVSNf46lDrGeUDWTxyo45NpE1Uocq6GPOkfV9oyVXeSrZlJ1Mu38RrtOZglIfVZUVJBw1/ERmYIG68FR33oVG38EbgHVkYBJlfxGW8+hthF713FBgt+Ozxbk3aO4zVsQ2N2jdd0NVi/5m426mf+8e7Repvzdo7hM4qi6wA1UD7y46ODTm6YucDMW+13X0hOpNiyOYgVee+tnChpcH34ixQrqA0+koww/kfQcHgU/kWIFR1l6ItWG2R3LZ8wVOZGOdjfYMckn0tHMiXRMACdSbeCJdDRwAx0jtLjoC8FInxsAk1mJEvjT8kg3AaEvBCOlwLHAZMbNoeOvKb3GxwpUMsdaWsnUguWfeEOvvcdlChp8HLySiTc8Drj5jze8ktFzeDy8kok3PF548yMS6LGGJ9ATwHNY3NAHLzLGTwTuvSAr4Fowu+PZjLkiFfBJbmI+ObkCPompgE8OoALGnUCOOgkYlCcLLS56IyJ9PkW4Anb8NaWT44kC1duphletel1OtcBvqRg/FRjjpxke46mKFETxgxrLAR/Y3nn0NvTc1oSdNdEir70qU9BgBVc70SIFXMBsw9WOnsNsuNqJFmUbrnZ0onMyzU7GDcHJuLihfUbGeI6laqcmzO5oIWOuiNpp5Cbm3GS104hRO7kBqB3cCeSoRsCgzBVaXPRGRPqcZ3glqJNjjkDVHzVc7eh1iVrgt1SMR4ExHjM8xlMVKY6/ppBFyumWXtupATtrEt87fkamoMFnwNVOtnMGcBM0Nlzt6DlsDFc72U5jw9WOTnSnZ5qdjM+0RO0gY/wsS9VODZjdwb13/Gw3MTdJVjtnM2qnSQBqB3cCOepsYFA2EVpc9EZE+nyO4ZWgTo5nCVT95xqudvS6nGuB31Ixfi4wxpsaHuOpihTHX1PIIqWZpWqnOuysKUhQO80zBQ1uDlc7BU5z4CZoYbja0XPYAq52CpwWhqsdneiaZZqdjFtaonaQMd7KUrVTHWZ3fmBqp7WbmNskq53WjNppE4DawZ1AjmoNDMo2QouL3ohIn9saXgnq5NhKoOpvZ7ja0evSzgK/pWK8HTDG2xse46mKFMdfU8gi5TxL1U412FmTm/BMjA6ZggZ3gKudXNUBuAnON1zt6Dk8H652chP8dnw2zm9Eojsv0+xk3NEStYOM8U6Wqp1qMLtzA3uWSmc3MXdJVjudGbXTJQC1gzuBHNUZGJRdhBYXvRGRPl9geCWok2Mngaq/q+FqR69LVwv8lorxrsAY72Z4jKcqUhx/TSGLlAstVTtVcdd2ol57u2cKGtwdf20n2h24CXoYrnb0HPbAX9uJ9jBc7ehEd2Gm2cm4pyVqBxnjvSxVO1VhdhfkMeaKqJ3ebmLuk6x2ejNqp08Aagd3AjmqNzAo+wgtLnojIn2+yPBKUCfHXgJVf1/D1Y5el74W+C0V432BMd7P8BhPVaQ4/ppCFilxS9VOFdhZkxPz2pufKWhwPlzt5MTygZugwHC1o+ewAK52cmIFhqsdnejimWYn40JL1A4yxossVTtVYHbnRBlzRdTOxW5iviRZ7VzMqJ1LAlA7uBPIURcDg/ISocVFb0Skz5caXgnq5FgkUPVfZrja0etymQV+S8X4ZcAYv9zwGE9VpDj+mkIWKVdYqnYOh5018YQ72a7MFDT4SrjaiasrgZvgKsPVjp7Dq+BqJ57gt+OzcX4jEt0VmWYn46stUTvIGL/GUrVzOMzueGB3sl3rJubrktXOtYzauS4AtYM7gRx1LTAorxNaXPRGRPp8veGVoE6O1whU/TcYrnb0utxggd9SMX4DMMZvNDzGUxUpjr+mkEXKTZaqncNwaiffa+/NmYIG34xXO/k3AzfBLYarHT2Ht+DVTv4thqsdnehuyjQ7Gd9qidpBxvhtlqqdw3AFcZwxV0Tt3O4m5juS1c7tjNq5IwC1gzuBHHU7MCjvEFpc9EZE+nyn4ZWgTo63CVT9/Q1XO3pd+lvgt1SM9wfG+ADDYzxVkeL4awpZpNxlqdqpjLuTLe619+5MQYPvxt/JFr8buAnuMVzt6Dm8B38nW/wew9WOTnR3ZZqdjAdaonaQMT7IUrVTGXezUz/GXBG1M9hNzEOS1c5gRu0MCUDt4E4gRw0GBuUQocVFb0Skz/caXgnq5DhIoOofarja0esy1AK/pWJ8KDDGhxke46mKFMdfU8giZbilaqcS7KyJJjyBekSmoMEj4Gon6owAboKRhqsdPYcj4Won6ow0XO3oRDc80+xkPMoStYOM8dGWqp1KMLvzAnsC9Rg3MY9NVjtjGLUzNgC1gzuBHDUGGJRjhRYXvRGRPt9neCWok+Nogap/nOFqR6/LOAv8lorxccAYH294jKcqUhx/TSGLlAmWqp2KQmpnYqagwRMF1M5E4CaYZLja0XM4SUDtTDJc7ehENyHT7GQ82RK1g4zxKZaqnYoWqp2pbmKelqx2pjJqZ1oAagd3AjlqKjAop1midpA+3294JaiT4xSBqn+64WpHr8t0C/yWivHpwBifYXiMpypSHH9NIYuUmZaqnQqws6ZfwjPZZmUKGjwLrnb6xWYBN8Fsw9WOnsPZcLXTLzbbcLWjE93MTLOT8RxL1A4yxh+wVO1UgNndL7Bnsj3oJuaHktXOg4zaeSgAtYM7gRz1IDAoHxJaXPRGRPr8sOGVoE6ODwhU/XMNVzt6XeZa4LdUjM8Fxvg8w2M8VZHi+GsKWaQ8YqnaKY9TOzleex/NFDT4UbzayXkUuAkeM1zt6Dl8DK92ch4zXO3oRPdIptnJ+HFL1A4yxudbqnbK4wrihoy5ImpngZuYn0hWOwsYtfNEAGoHdwI5agEwKJ8QWlz0RkT6/KThlaBOjvMFqv6nDFc7el2essBvqRh/ChjjCw2P8VRFiuOvKWSR8rSlaqcc7KwpSLi280ymoMHPwNVOQewZ4CZ41nC1o+fwWbjaKYg9a7ja0Ynu6Uyzk/FzlqgdZIw/b6naKQezuyCwazsvuIn5xWS18wKjdl4MQO3gTiBHvQAMyheFFhe9EZE+v2R4JaiT4/MCVf8iw9WOXpdFFvgtFeOLgDG+2PAYT1WkOP6aQhYpL1uqdsrCzpr8Qq+9SzIFDV4CVzv5hUuAm2Cp4WpHz+FSuNrJL1xquNrRie7lTLOT8TJL1A4yxpdbqnbKwuzOL2DMFVE7K9zEvDJZ7axg1M7KANQO7gRy1ApgUK4UWlz0RkT6vMrwSlAnx+UCVf9qw9WOXpfVFvgtFeOrgTG+xvAYT1WkOP6aQhYpay1VO2VgZ41KuLazLlPQ4HVwtaNi64CbYL3hakfP4Xq42lGx9YarHZ3o1maanYxfsUTtIGN8g6VqpwzMbhXYtZ2NbmLelKx2NjJqZ1MAagd3AjlqIzAoNwktLnojIn1+1fBKUCfHDQJV/2bD1Y5el80W+C0V45uBMb7F8BhPVaQ4/ppCFimvWap2SsPOmniC2tmaKWjwVrjaice2AjfBNsPVjp7DbXC1E49tM1zt6ET3WqbZyfh1S9QOMsa3W6p2SsPsjgemdna4ifmNZLWzg1E7bwSgdnAnkKN2AIPyDaHFRW9EpM9vGl4J6uS4XaDq32m42tHrstMCv6VifCcwxncZHuOpihTHX1PIImW3pWonAjtrolGvvW9lChr8FlztRKNvATfBHsPVjp7DPXC1E43uMVzt6ES3O9PsZPy2JWoHGePvWKp2IjC7o3mMuSJqZ6+bmN9NVjt7GbXzbgBqB3cCOWovMCjfFVpc9EZE+vye4ZWgTo7vCFT97xuudvS6vG+B31Ix/j4wxvcZHuOpihTHX1PIIuUDS9VOGHbW5CSonQ8zBQ3+EK52cqIfAjfBR4arHT2HH8HVTk70I8PVjk50H2SanYw/tkTtIGP8E0vVThhmd05gaudTNzF/lqx2PmXUzmcBqB3cCeSoT4FB+ZnQ4qI3ItLnzw2vBHVy/ESg6v/CcLWj1+ULC/yWivEvgDH+peExnqpIcfw1hSxSvrJU7WTBzpqY8tr7daagwV/D1U5MfQ3cBN8Yrnb0HH4DVzuxBL8dn43zG5Hovso0Oxl/a4naQcb4d5aqnSyY3TGHMVdE7XzvJuYfktXO94za+SEAtYM7gRz1PTAofxBaXPRGRPr8o+GVoE6O3wlU/T8Zrnb0uvxkgd9SMf4TMMZ/NjzGUxUpjr+mkEXKL5aqnUzYWZPneO39NVPQ4F/haifP+RW4CX4zXO3oOfwNrnbynN8MVzs60f2SaXYy/t0StYOM8T8sVTuZMLtzixhzRdTOfjcx/5msdvYzaufPANQO7gRy1H5gUP4ptLjojYj0+S/DK0GdHP8QqPpLZJmtdvS6aBtN91sqxr12+h2rZJbZMZ6qSHH8NYUsUkoB4yZItROCnTXxhCdQZ2QJGqwHx6qdeGEGcBOEgJtTag5DWWi1Ey8MCR8aiERXKsvsZJwJTsbFDe0zMsazkHuvRHBqJwQrDuOBPYE67CbmSFaJRGUTzvqn2tH/kbTaCQHVThgYlJEsmcVFb0Skz6UNrwR1cswSqPrLGK529LqUscBvqRgvA4zxsobHeKoixfHXFLJIKWep2smAnTXZCdd2ymcJGlwernaynfLATVDBcLWj57ACXO1kOxUMVzs60ZXLMjsZV7RE7SBjvJKlaicDpnZUEWOuiNqp7Cbmw5LVTmVG7RwWgNrJAKqdysCgPCxLZnHRGxHp8+GGV4I6OVYSqPqrGK529LpUscBvqRivAozxqobHeKoixfHXFLJIqWap2imFO2vyvfZWzxI0uDpc7Tj51YGboIbhakfPYQ242nHyaxiudnSiq5ZldjKuaYnaQcZ4LUvVTincjT9xxlwRtVPbTcx1ktVObUbt1AlA7QBPIFUbGJR1smQWF70RkT4fYXglqJNjLYGq/0jD1Y5elyMt8Fsqxo8Exnhdw2M8VZHi+GsKWaTUs1TtlISdNbkJd7LVzxI0uD5c7eQW1gdugqMMVzt6Do+Cq53cwqMMVzs60dXLMjsZH22J2kHG+DGWqp2SuD/tCOxOtgZuYj42We00YNTOsQGonZJAtdMAGJTHZsksLnojIn0+zvBKUCfHYwSq/uMNVzt6XY63wG+pGD8eGOMnGB7jqYoUx19TyCLlREvVTgnYWaMSnsl2UpagwSfB1Y5SJwE3wcmGqx09hyfD1Y5K8Nvx2Ti/EYnuxCyzk/EplqgdZIyfaqnaKYG7ky2wZ7Kd5iZmJ1ntnMaoHScAtVMCqHZOAwalkyWzuOiNiPRZGV4J6uR4qkDVn2242tHrkm2B31Ixng2M8YaGx3iqIsXx1xSySMmxVO38FcLZ7bW3UZagwY2y8OPmGq5QtN+5WX9PMGhcEVWhE0pOltlJL88SVYGMy6hwokesSVQgxoNMqH8KJdRYlqDBMYGEerrhCVX7fXpACdXx15TeGKdnyWw4lN9BbrL9IdwceO09I0vQ4DMETsQzgBm9seEbVs9hY4FN0Njw72j1Jm0sIH/ygOt9puFfF+jYOVMo2Rc39N4+E7g+Zxku8VMpBsdfU0jFcLbhMa7X+GyBQg4ZhyF3nxR/Ze5taLufzpDZ5yWgdmaLXuco6ZnbesVj03qeQziX0JTQjNCc0ILQktCK0JrQhtCW0I7QnnAeoQPhfEJHQidCZ0IXwgWEroRuhAsJ3Qk9CD0JvQi9CX0IFyVfY2niXk/xcucw3LkM15ThmjFcc4ZrwXAtGa4Vw7VmuDYM15bh2jFce4Y7j+E6MNz5DNeR4ToxXGeG68JwFzBcV4brxnAXMlx3huvBcD0ZrhfD9Wa4Pgx3UdY/r93Vd382cX86/lpC0vGbLJsAEm/xdcBzQGNpH8+FjPXf+Wrqf6xsd75UM79j5fxv7lVzf2M5nnVULfyMlZ0QE6rloY/lJMWXanWIY+UW/SNWVetDGyvKxL1qcyhjRdk9pNoe/Fh5KfajanewY+Wl3Nuq/cGNlZ0mT6jzDmasvLQ5R3U48LHy/yV/qfMPdKy8f82FquOBjeUcQF5VnQ5kLOeAcrTq/O9jNTrAfK+6/NtYOQd8dqgL0o6VU3QQ55Dqmm6svIM601S31GNFD/J8VBemGCtWdNBnrerOj+UcwrmtenBjOYdUA6ie/xxLHWI9oXolj1VwyLWJ6p04VkMfdY7q4xkru8hXzaQusvQb7YtgtV5Bwl3HfbMEDe6bhb7ruED1xS2g6geYVMlvtPUc9gN+o108h/3AmyCou0dxm7cgsLtH4+4Gy0/+ZiOe9c+7R/Oz5O8exWUSR8WBGygfvLjo4NObJg7cjMV+xy09kfrA4ihW4LW3IEvQ4AL4iRQrKACeSIWGn0h6DgvhJ1KsoNDSE6kPzO5YPmOuyIlU5G6wi5NPpCLmRLo4gBOpD/BEKgJuoIuFFhd9IRjp8yXAZFaiBP607OcmIPSFYKQUuBSYzLg5dPw1pdf4UoFK5lJLK5nesPwTb+i197IsQYMvg1cy8YaXATf/5YZXMnoOL4dXMvGGlwtvfkQCvdTwBHoFeA6LG/rgRcb4lcC9F2QF3BtmdzybMVekAr7KTcxXJ1fAVzEV8NUBVMC4E8hRVwGD8mqhxUVvRKTP1whXwI6/pnRyvFKgervW8KpVr8u1FvgtFePXAmP8OsNjPFWRgih+UGNdDz6wvfPobei57QU7a6JFXntvyBI0+Aa42okW3QBcwBsNVzt6Dm+Eq51o0Y2Gqx2d6K7PMjsZ3wROxsUN7TMyxm+2VO30gtkdLWTMFVE7t7iJ+dZktXMLo3ZuDUDt4E4gR90CDMpbhRYXvRGRPt9meCWok+PNAlX/7YarHb0ut1vgt1SM3w6M8TsMj/FURYrjrylkkXKnpdd2esLOmsT3jvfPEjS4P1ztZDv9gZtggOFqR8/hALjayXYGGK52dKK7M8vsZHyXJWoHGeN3W6p2esLsDu694/e4iXlgstq5h1E7AwNQO7gTyFH3AINyoNDiojci0udBhleCOjneLVD1DzZc7eh1GWyB31IxPhgY40MMj/FURYrjrylkkXKvpWqnB+ysKUhQO0OzBA0eClc7Bc5Q4CYYZrja0XM4DK52CpxhhqsdnejuzTI7GQ+3RO0gY3yEpWqnB8zu/MDUzkg3MY9KVjsjGbUzKgC1gzuBHDUSGJSjhBYXvRGRPo82vBLUyXGEQNU/xnC1o9dljAV+S8X4GGCMjzU8xlMVKY6/ppBFyn2Wqp3usLMmN+GZGOOyBA0eB1c7uWoccBOMN1zt6DkcD1c7uQl+Oz4b5zci0d2XZXYynmCJ2kHG+ERL1U53mN25gT1LZZKbmCcnq51JjNqZHIDawZ1AjpoEDMrJQouL3ohIn6cYXgnq5DhRoOqfarja0esy1QK/pWJ8KjDGpxke46mKFMdfU8gi5X5L1c6FuGs7Ua+907MEDZ6Ov7YTnQ7cBDMMVzt6Dmfgr+1EZxiudnSiuz/L7GQ80xK1g4zxWZaqnQthdhfkMeaKqJ3ZbmKek6x2ZjNqZ04Aagd3AjlqNjAo5wgtLnojIn1+wPBKUCfHWQJV/4OGqx29Lg9a4LdUjD8IjPGHDI/xVEWK468pZJHysKVqpxvsrMmJee2dmyVo8Fy42smJzQVugnmGqx09h/PgaicnNs9wtaMT3cNZZifjRyxRO8gYf9RStdMNZndOlDFXRO085ibmx5PVzmOM2nk8ALWDO4Ec9RgwKB8XWlz0RkT6PN/wSlAnx0cFqv4FhqsdvS4LLPBbKsYXAGP8CcNjPFWR4vhrClmkPGmp2ukKO2viCXeyPZUlaPBTcLUTV08BN8FCw9WOnsOFcLUTT/Db8dk4vxGJ7skss5Px05aoHWSMP2Op2ukKszse2J1sz7qJ+blktfMso3aeC0Dt4E4gRz0LDMrnhBYXvRGRPj9veCWok+MzAlX/C4arHb0uL1jgt1SMvwCM8RcNj/FURYrjrylkkfKSpWrnApzayffauyhL0OBFeLWTvwi4CRYbrnb0HC7Gq538xYarHZ3oXsoyOxm/bInaQcb4EkvVzgW4gjjOmCuidpa6iXlZstpZyqidZQGoHdwJ5KilwKBcJrS46I2I9Hm54ZWgTo5LBKr+FYarHb0uKyzwWyrGVwBjfKXhMZ6qSHH8NYUsUlZZqna64O5ki3vtXZ0laPBq/J1s8dXATbDGcLWj53AN/k62+BrD1Y5OdKuyzE7Gay1RO8gYX2ep2umCu9mpH2OuiNpZ7ybmV5LVznpG7bwSgNrBnUCOWg8MyleEFhe9EZE+bzC8EtTJcZ1A1b/RcLWj12WjBX5LxfhGYIxvMjzGUxUpjr+mkEXKq5aqnc6wsyaa8ATqzVmCBm+Gq52osxm4CbYYrnb0HG6Bq52os8VwtaMT3atZZifj1yxRO8gY32qp2ukMszuviDFXRO1scxPz68lqZxujdl4PQO3gTiBHbQMG5etCi4veiEiftxteCerkuFWg6t9huNrR67LDAr+lYnwHMMbfMDzGUxUpjr+mkEXKm5aqnU5CamdnlqDBOwXUzk7gJthluNrRc7hLQO3sMlzt6ET3ZpbZyXi3JWoHGeNvWap2Olmodva4ifntZLWzh1E7bwegdnAnkKP2AIPybUvUDtLndwyvBHVyfEug6t9ruNrR67LXAr+lYnwvMMbfNTzGUxUpjr+mkEXKe5aqnY6ws6ZfwjPZ3s8SNPh9uNrpF3sfuAn2Ga529Bzug6udfrF9hqsdnejeyzI7GX9gidpBxviHlqqdjjC7+wX2TLaP3MT8cbLa+YhROx8HoHZwJ5CjPgIG5cdCi4veiEifPzG8EtTJ8UOBqv9Tw9WOXpdPLfBbKsY/Bcb4Z4bHeKoixfHXFLJI+dxStXM+Tu3keO39IkvQ4C/waifnC+Am+NJwtaPn8Eu82sn50nC1oxPd51lmJ+OvLFE7yBj/2lK1cz6uIG7ImCuidr5xE/O3yWrnG0btfBuA2sGdQI76BhiU3wotLnojIn3+zvBKUCfHrwWq/u8NVzt6Xb63wG+pGP8eGOM/GB7jqYoUx19TyCLlR0vVTgfYWVOQcG3npyxBg3+Cq52C2E/ATfCz4WpHz+HPcLVTEPvZcLWjE92PWWYn418sUTvIGP/VUrXTAWZ3QWDXdn5zE/PvyWrnN0bt/B6A2sGdQI76DRiUvwstLnojIn3+w/BKUCfHXwWq/v2Gqx29Lvst8FsqxvcDY/xPw2M8VZHi+GsKWaT8ZanaOQ921uQXJtgbFjRYD45VO/mFekyUjSXDZqsdPYfaRqzaoQAIyx4aiET3V5bZybhUGJuMixvaZ2SMZwB9DlLtnAdL+vkFjLkiaifkJubMcIlEZRMK/1Pt6P9IWu2cB1Q7IWBQZoZlFhe9EZE+Z4GTD3rD6eSYEcYfDGHhg8vx15Rel7AFfkvFeBgY4xHDYzxVkeL4awpZpJQGxk2Qaqc97KxRCdd2yoQFDS4DVzsqVga4Ccoarnb0HJaFqx0VK2u42tGJrnTY7GRczhK1g4zx8paqnfYwtaMCu7ZTwU3MFZPVTgVG7VQMQO20B6qdCsCgrBiWWVz0RkT6XMnwSlAnx/ICVX9lw9WOXpfKFvgtFeOVgTF+mOExnqpIcfw1hSxSDrdU7bSDnTXxBLVTJSxocBW42onHqgA3QVXD1Y6ew6pwtROPVTVc7ehEd3jY7GRczRK1g4zx6paqnXYwtRMPTO3UcBNzzWS1U4NROzUDUDvtgGqnBjAoa4ZlFhe9EZE+1zK8EtTJsbpA1V/bcLWj16W2BX5LxXhtYIzXMTzGUxUpjr+mkEXKEZaqnbawsyYa9dp7ZFjQ4CPhaicaPRK4Ceoarnb0HNaFq51otK7hakcnuiPCZifjepaoHWSM17dU7bSFqZ1oHmOuiNo5yk3MRyernaMYtXN0AGqnLVDtHAUMyqPDMouL3ohIn48xvBLUybG+QNXfwHC1o9elgQV+S8V4A2CMH2t4jKcqUhx/TSGLlOMsVTttYGdNToLaOT4saPDxcLWTEz0euAlOMFzt6Dk8Aa52cqInGK52dKI7Lmx2Mj7RErWDjPGTLFU7bWBqJycwtXOym5hPSVY7JzNq55QA1E4boNo5GRiUp4RlFhe9EZE+n2p4JaiT40kCVf9phqsdvS6nWeC3VIyfBoxxx/AYT1WkOP6aQhYpylK10xp21sSU197ssKDB2XC1E1PZwE3Q0HC1o+ewIVztxBL8dnw2zm9EolNhs5NxjiVqBxnjjSxVO61haifmMOaKqJ1cNzHnJaudXEbt5AWgdloD1U4uMCjzwjKLi96ISJ+jhleCOjk2Eqj6Y4arHb0uMQv8lorxGDDGTzc8xlMVKY6/ppBFyhmWqp1WsLMmz/Ha2zgsaHBjuNrJcxoDN8GZhqsdPYdnwtVOnnOm4WpHJ7ozwmYn47MsUTvIGD/bUrXTCqZ2cosYc0XUThM3MZ+TrHaaMGrnnADUTiug2mkCDMpzwjKLi96ISJ/PNbwS1MnxbIGqv6nhakevS1ML/JaK8abAGG9meIynKlIcf00hi5TmlqqdlrinFCQ8gbpFWNDgFnC1Ey9sAdwELQ1XO3oOW8LVTrywpeFqRye65mGzk3ErS9QOMsZbW6p2WuKeUhDYE6jbuIm5bbLaacOonbYBqJ2WQLXTBhiUbcMyi4veiEif2xleCerk2Fqg6m9vuNrR69LeAr+lYrw9MMbPMzzGUxUpjr+mkEVKB0vVTgvYWZOdcG3n/LCgwefD1U62cz5wE3Q0XO3oOewIVzvZTkfD1Y5OdB3CZifjTpaoHWSMd7ZU7bTAPYE6sGs7XdzEfEGy2unCqJ0LAlA7LYBqpwswKC8IyywueiMife5qeCWok2Nngaq/m+FqR69LNwv8lorxbsAYv9DwGE9VpDj+mkIWKd0tVTvNcWdNvtfeHmFBg3vA1Y6T3wO4CXoarnb0HPaEqx0nv6fhakcnuu5hs5NxL0vUDjLGe1uqdprjXikdZ8wVUTt93MR8UbLa6cOonYsCUDvAE0j1AQblRWGZxUVvRKTPfQ2vBHVy7C1Q9fczXO3odelngd9SMd4PGONxw2M8VZHi+GsKWaTkW6p2msHOmtyEO9kKwoIGF8DVTm5hAXATFBqudvQcFsLVTm5hoeFqRye6/LDZybjIErWDjPGLLVU7zXB/txPYnWyXuIn50mS1cwmjdi4NQO00A6qdS4BBeWlYZnHRGxHp82WGV4I6OV4sUPVfbrja0etyuQV+S8X45cAYv8LwGE9VpDj+mkIWKVdaqnaaws4alfBMtqvCggZfBVc7Sl0F3ARXG6529BxeDVc7KsFvx2fj/EYkuivDZifjayxRO8gYv9ZStdMUdydbYM9ku85NzNcnq53rGLVzfQBqpylQ7VwHDMrrwzKLi96ISJ9vMLwS1MnxWoGq/0bD1Y5elxst8Fsqxm8ExvhNhsd4qiLF8dcUski52VK1cy7uZoyEv9u5JSxo8C1h/Li3Gq5QtN+3hv+eYNC4IqpCJ5Sbw2YnvdssURXIuLxdONEj1uR2gRgPMqGeI5RQ7wgLGnyHQEK90/CEqv2+M6CE6vhrSm+MO8MyGw7ld5CbrEkWbg689vYPCxrcX+BE7A/M6AMM37B6DgcIbIIBhn9HqzfpAAH5cxtwve8y/OsCHTt3CSX74obe23cB1+duwyV+KsXg+GsKqRjuMTzG9RrfI1DIIeMw5O6T4q/MvQ1t9/MZMvu8BNTObNHrHCU9c1vP/TyQ1nMQYTBhCOFewlDCMMJwwgjCSMIowmjCGMJYwn2EcYTxhAmEiYRJhMmEKYSphGmE+wnTCTMIMwmzCLMJcwgPJF9jGeheT/FygxhuMMMNYbh7GW4oww1juOEMN4LhRjLcKIYbzXBjGG4sw93HcOMYbjzDTWC4iQw3ieEmM9wUhpvKcNMY7n6Gm85wMxhuJsPNYrjZDDeH4R4I//PaXX33ZxP3p+OvJSQdv8lyICDxFl8HHAQaS/s4GDLWf+driP+xst35Uvf6HSvnf3Ovhvoby/GsoxrmZ6zshJhQww99LCcpvtSIQxwrt+gfsapGHtpYUSbu1ahDGSvK7iE1+uDHykuxH9WYgx0rL+XeVmMPbqzsNHlC3XcwY+WlzTlq3IGPlf8v+UuNP9Cx8v41F6oJBzaWcwB5VU08kLGcA8rRatK/j9XoAPO9mvxvY+Uc8NmhpqQdK6foIM4hNTXdWHkHdaapaanHih7k+ajuTzFWrOigz1o1nR/LOYRzW83gxnIOqQZQM/85ljrEekLNSh6r4JBrEzU7cayGPuocNcczVnaRr5pJPWDpN9oPwGq9goS7jh8MCxr8YBh913GBehC3gOohwKRKfqOt5/Ah4DfaxXP4EHgTBHX3KG7zFgR29+jD7gabm/zNxsPhf949Ojcsf/coLpM46mHgBpoLXlx08OlN8zBwMxb7/bClJ9IcWBzFCrz2zgsLGjwPfiLFCuYBT6RHDD+R9Bw+Aj+RYgWPWHoizYHZHctnzBU5kR51N9hjySfSo8yJ9FgAJ9Ic4In0KHADPSa0uOgLwUifHwcmsxIl8KflQ24CQl8IRkqB+cBkxs2h468pvcbzBSqZ+ZZWMrNh+Sfe0GvvgrCgwQvglUy84QLg5n/C8EpGz+ET8Eom3vAJ4c2PSKDzDU+gT4LnsLihD15kjD8F3HtBVsCzYXbHsxlzRSrghW5ifjq5Al7IVMBPB1AB404gRy0EBuXTQouL3ohIn58RroAdf03p5PiUQPX2rOFVq16XZy3wWyrGnwXG+HOGx3iqIgVR/KDGeh58YHvn0dvQczsLdtZEi7z2vhAWNPgFuNqJFr0AXMAXDVc7eg5fhKudaNGLhqsdneieD5udjF8CJ+PihvYZGeOLLFU7s2B2RwsZc0XUzmI3Mb+crHYWM2rn5QDUDu4EctRiYFC+LLS46I2I9HmJ4ZWgTo6LBKr+pYarHb0uSy3wWyrGlwJjfJnhMZ6qSHH8NYUsUpZbem1nJuysSXzv+IqwoMEr4Gon21kB3AQrDVc7eg5XwtVOtrPScLWjE93ysNnJeJUlagcZ46stVTszYXYH997xNW5iXpusdtYwamdtAGoHdwI5ag0wKNcKLS56IyJ9Xmd4JaiT42qBqn+94WpHr8t6C/yWivH1wBh/xfAYT1WkOP6aQhYpGyxVOzNgZ01BgtrZGBY0eCNc7RQ4G4GbYJPhakfP4Sa42ilwNhmudnSi2xA2Oxm/aonaQcb4ZkvVzgyY3fmBqZ0tbmJ+LVntbGHUzmsBqB3cCeSoLcCgfE1ocdEbEenzVsMrQZ0cNwtU/dsMVzt6XbZZ4LdUjG8Dxvjrhsd4qiLF8dcUskjZbqnamQ47a3ITnomxIyxo8A642slVO4Cb4A3D1Y6ewzfgaic3wW/HZ+P8RiS67WGzk/GblqgdZIzvtFTtTIfZnRvYs1R2uYl5d7La2cWond0BqB3cCeSoXcCg3C20uOiNiPT5LcMrQZ0cdwpU/XsMVzt6XfZY4LdUjO8Bxvjbhsd4qiLF8dcUskh5x1K1cz/u2k7Ua+/esKDBe/HXdqJ7gZvgXcPVjp7Dd/HXdqLvGq52dKJ7J2x2Mn7PErWDjPH3LVU798PsLshjzBVRO/vcxPxBstrZx6idDwJQO7gTyFH7gEH5gdDiojci0ucPDa8EdXJ8X6Dq/8hwtaPX5SML/JaK8Y+AMf6x4TGeqkhx/DWFLFI+sVTtTIOdNTkxr72fhgUN/hSudnJinwI3wWeGqx09h5/B1U5O7DPD1Y5OdJ+EzU7Gn1uidpAx/oWlamcazO6cKGOuiNr50k3MXyWrnS8ZtfNVAGoHdwI56ktgUH4ltLjojYj0+WvDK0GdHL8QqPq/MVzt6HX5xgK/pWL8G2CMf2t4jKcqUhx/TSGLlO8sVTtTYWdNPOFOtu/DggZ/D1c7cfU9cBP8YLja0XP4A1ztxBP8dnw2zm9EovsubHYy/tEStYOM8Z8sVTtTYXbHA7uT7Wc3Mf+SrHZ+ZtTOLwGoHdwJ5KifgUH5i9Diojci0udfDa8EdXL8SaDq/81wtaPX5TcL/JaK8d+AMf674TGeqkhx/DWFLFL+sFTtTMGpnXyvvfvDggbvx6ud/P3ATfCn4WpHz+GfeLWT/6fhakcnuj/CZifjvyxRO9AYj9ipdqbgCuI4Y66I2inpqpdSkRKJykZ3JKsd/R9Jqx3cCeSokhFcUJaKyCwueiMifc6IYJMPesPp5Fgigj8YQhHZg8vx15Rel5AFfkvFeAgY45mGx3iqIsXx1xSySMkCxk2Qamcy7k62uNfecETQYD04Vu3kxMPATRABbk6pOYxE0GonJx4RPjQQiS4rYnYyLg1OxsUN7TMyxstYqnYm42526seYK6J2yrqJuVyy2inLqJ1yAaidyUC1UxYYlOUiMouL3ohIn8sbXgnq5FhGoOqvYLja0etSwQK/pWK8AjDGKxoe46mKFMdfU8gipZKlamcS7KyJJjyBunJE0ODKcLUTdSoDN8FhhqsdPYeHwdVO1DnMcLWjE12liNnJ+HBL1A4yxqtYqnYmwdROXmBPoK7qJuZqyWqnKqN2qgWgdiYB1U5VYFBWi8gsLnojIn2ubnglqJNjFYGqv4bhakevSw0L/JaK8RrAGK9peIynKlIcf00hi5RalqqdiUJqp3ZE0ODaAmqnNnAT1DFc7eg5rCOgduoYrnZ0oqsVMTsZH2GJ2kHG+JGWqp2JFqqdum5irpesduoyaqdeAGpnIlDt1AUGZT1L1A7S5/qGV4I6OR4pUPUfZbja0etylAV+S8X4UcAYP9rwGE9VpDj+mkIWKcdYqnYmwM6afgnPZGsQETS4AVzt9Is1AG6CYw1XO3oOj4WrnX6xYw1XOzrRHRMxOxkfZ4naQcb48ZaqnQkwtdMvsGeyneAm5hOT1c4JjNo5MQC1MwGodk4ABuWJEZnFRW9EpM8nGV4J6uR4vEDVf7Lhakevy8kW+C0V4ycDY/wUw2M8VZHi+GsKWaScaqnaGY9TOzlee0+LCBp8Gl7t5JwG3ASO4WpHz6GDVzs5juFqRye6UyNmJ2NlidpBxni2pWpnPE7tNGTMFVE7Dd3EnJOsdhoyaicnALUzHqh2GgKDMicis7jojYj0uZHhlaBOjtkCVX+u4WpHr0uuBX5LxXguMMbzDI/xVEWK468pZJEStVTtjIOdNQUJ13ZiEUGDY3C1UxCLATfB6YarHT2Hp8PVTkHsdMPVjk500YjZyfgMS9QOMsYbW6p2xsHUTkFg13bOdBPzWclq50xG7ZwVgNoZB1Q7ZwKD8qyIzOKiNyLS57MNrwR1cmwsUPU3MVzt/GddLPBbKsabAGP8HMNjPFWR4vhrClmknGup2rkPdtbkF3rtbRoRNLgpXO3kFzYFboJmhqsdPYfN4Gonv7CZ4WpHJ7pzI2Yn4+aWqB1kjLewVO3cB1M7+QWMuSJqp6WbmFslq52WjNppFYDauQ+odloCg7JVRGZx0RsR6XNrwytBnRxbCFT9bQxXO3pd2ljgt1SMtwHGeFvDYzxVkeL4awpZpLSzVO2MhZ01KuHaTvuIoMHt4WpHxdoDN8F5hqsdPYfnwdWOip1nuNrRia5dxOxk3MEStYOM8fMtVTtjYWpHBXZtp6ObmDslq52OjNrpFIDaGQtUOx2BQdkpIrO46I2I9Lmz4ZWgTo7nC1T9XQxXO3pduljgt1SMdwHG+AWGx3iqIsXx1xSySOlqqdoZg3u7aILa6RYRNLgbXO3EY92Am+BCw9WOnsML4WonHrvQcLWjE13XiNnJuLslagcZ4z0sVTtjcG8XDUzt9HQTc69ktdOTUTu9AlA7Y4BqpycwKHtFZBYXvRGRPvc2vBLUybGHQNXfx3C1o9eljwV+S8V4H2CMX2R4jKcqUhx/TSGLlL6Wqp3RuCdQR7329osIGtwPrnai0X7ATRA3XO3oOYzD1U40Gjdc7ehE1zdidjLOt0TtIGO8wFK1MxqmdqJ5jLkiaqfQTcxFyWqnkFE7RQGondFAtVMIDMqiiMziojci0ueLDa8EdXIsEKj6LzFc7eh1ucQCv6Vi/BJgjF9qeIynKlIcf00hi5TLLFU7o2BnTU6C2rk8Imjw5XC1kxO9HLgJrjBc7eg5vAKudnKiVxiudnSiuyxidjK+0hK1g4zxqyxVO6NgaicnMLVztZuYr0lWO1czaueaANTOKKDauRoYlNdEZBYXvRGRPl9reCWok+NVAlX/dYarHb0u11ngt1SMXweM8esNj/FURYrjrylkkXKDpWpnJOysiSmvvTdGBA2+Ea52YupG4Ca4yXC1o+fwJrjaiSX47fhsnN+IRHdDxOxkfLMlagcZ47dYqnZGwtROzGHMFVE7t7qJ+bZktXMro3ZuC0DtjASqnVuBQXlbRGZx0RsR6fPthleCOjneIlD132G42tHrcocFfkvF+B3AGL/T8BhPVaQ4/ppCFin9LVU7I2BnTZ7jtXdARNDgAXC1k+cMAG6CuwxXO3oO74KrnTznLsPVjk50/SNmJ+O7LVE7yBi/x1K1MwKmdnKLGHNF1M5ANzEPSlY7Axm1MygAtTMCqHYGAoNyUERmcdEbEenzYMMrQZ0c7xGo+ocYrnb0ugyxwG+pGB8CjPF7DY/xVEWK468pZJEy1FK1Mxz3lIKEJ1APiwgaPAyuduKFw4CbYLjhakfP4XC42okXDjdc7ehENzRidjIeYYnaQcb4SEvVznDcUwoCewL1KDcxj05WO6MYtTM6ALUzHKh2RgGDcnREZnHRGxHp8xjDK0GdHEcKVP1jDVc7el3GWuC3VIyPBcb4fYbHeKoixfHXFLJIGWep2hkGO2uyE67tjI8IGjwernaynfHATTDBcLWj53ACXO1kOxMMVzs60Y2LmJ2MJ1qidpAxPslStTMM9wTqwK7tTHYT85RktTOZUTtTAlA7w4BqZzIwKKdEZBYXvRGRPk81vBLUyXGSQNU/zXC1o9dlmgV+S8X4NGCM3294jKcqUhx/TSGLlOmWqp2huLMm32vvjIigwTPgasfJnwHcBDMNVzt6DmfC1Y6TP9NwtaMT3fSI2cl4liVqBxnjsy1VO0NhaseJM+aKqJ05bmJ+IFntzGHUzgMBqB3gCaTmAIPygYjM4qI3ItLnBw2vBHVynC1Q9T9kuNrR6/KQBX5LxfhDwBh/2PAYT1WkOP6aQhYpcy1VO/fCzprchDvZ5kUEDZ4HVzu5hfOAm+ARw9WOnsNH4Gont/ARw9WOTnRzI2Yn40ctUTvIGH/MUrVzL+7vdgK7k+1xNzHPT1Y7jzNqZ34AaudeoNp5HBiU8yMyi4veiEifFxheCerk+JhA1f+E4WpHr8sTFvgtFeNPAGP8ScNjPFWR4vhrClmkPGWp2hkCO2tUwjPZFkYEDV4IVztKLQRugqcNVzt6Dp+Gqx2V4Lfjs3F+IxLdUxGzk/EzlqgdZIw/a6naGYK7ky2wZ7I95ybm55PVznOM2nk+ALUzBKh2ngMG5fMRmcVFb0Skzy8YXgnq5PisQNX/ouFqR6/Lixb4LRXjLwJj/CXDYzxVkeL4awpZpCyyVO0Mxt2MkfB3O4sjggYvjuDHfdlwhaL9ftlTeYDGFVEVOqEsipid9JZYoiqQcblUONEj1mSpQIwHmVAHCSXUZRFBg5cJJNTlhidU7ffygBKq468pvTGWR2Q2HMrvIDfZwDBuDrz2rogIGrxC4ERcAczoKw3fsHoOVwpsgpWGf0erN+lKAfmzBLjeqwz/ukDHziqhZF/c0Ht7FXB9Vhsu8VMpBsdfU0jFsMbwGNdrvEagkFsFPhdS7RfHX1OdSuHs3JURTI5w/DXVGejzTkt87gL0+U1LfL4A6PMblvjcFejzDkt87gb0ebslPl8I9Pl1S3zuDvR5myU+9wD6vNUSn3sCfX7NEp97AX3eYonPvYE+b7bE5z5An1+1xOeLgD5vssTnvkCfN1ricz+gzxss8TkO9PkVS3zOB/q83hKfC4A+r7PE50Kgz2st8bkI6PMaS3y+GOjzakt8vgTo8ypLfL4U6PNKS3y+DOjzCkt8vhzo83JLfL4C6PMyS3y+EujzUkt8vgro8xJLfL4a6PPLlvh8DdDnxZb4fC3Q50WW+Hwd0Oc6mXb4fD3Q59qW+HwD0Odalvh8I9Dnmpb4fBPQ5xqW+Hwz0Ofqlvh8C9Dnapb4fCvQ56qW+Hwb0Ocqlvh8O9Dnwy3x+Q6gz4dZ4vOdQJ8rW+Jzf6DPlSzxeQDQ54qW+HwX0OcKlvh8N9Dn8pb4fA/Q53KW+DwQ6HNZS3weBPS5jCU+Dwb6XNoSn4cAfY5Y4vO9QJ/Dlvg8FOhzliU+DwP6nGmJz8OBPocs8XkE0OcMS3weCfS5lCU+jwL6XNISn0cDfS5hic9jgD7/FbLD57FAn/+0xOf7gD7vt8TncUCfL8qyw+fxQJ/7WOLzBKDPvS3xeSLQ516W+DwJ6HNPS3yeDPS5hyU+TwH63N0Sn6cCfb7QEp+nAX3uZonP9wN97mqJz9OBPl9gic8zgD53scTnmUCfO1vi8yygz50s8Xk20OeOlvg8B+jz+Zb4/ADQ5w6W+Pwg0OfzLPH5IaDP7S3x+WGgz+0s8Xku0Oe2lvg8D+hzG0t8fgToc2tLfH4U6HMrS3x+DOhzS0t8fhzocwtLfJ4P9Lm5JT4vAPrczBKfnwD63NQSn58E+nyuJT4/BfT5HEt8Xgj0uYklPj8N9PmBsB0+PwP0eY4lPj8L9Hm2JT4/B/R5liU+Pw/0eaYlPr8A9HmGJT6/CPR5uiU+vwT0+X5LfF4E9HmaJT4vBvo81RKfXwb6PMUSn5cAfZ5sic9LgT5PssTnZUCfJ1ri83KgzxMs8XkF0Ofxlvi8EujzOEt8XgX0+T5LfF4N9HmsJT6vAfo8xhKf1wJ9Hm2Jz+uAPo+yxOf1QJ9HWuLzK0CfR1ji8wagz8Mt8Xkj0Odhlvi8CejzUEt8fhXo872W+LwZ6PMQS3zeAvR5sCU+vwb0eZAlPm8F+jwQ6LN+N3XIHetw9+d2snUH4Q3Cm4SdhF2E3YS3CHsIbxPeIewlvEt4j/A+YR/hA8KHhI/c/664lXTnNcP9/8wk0KX0EuROCf0q+NKEMoSyhHKE8oQKhIqESoTKhMNcO6sQqhKqEaoTahBqEmoRahPqEI4gHEmoS6hHqE84inA04RhCA8KxhOMIxxNOIJxIOIlwMuEUwqmE0/Q8E/SL1rP1+hFyCI0IuYQ8QpQQI5xOOIPQmHAm4SzC2W4cnUM4l9CU0IzQnNCC0JLQitCa0IbQltCO0J5wHqED4XxCR0InQmdCF8IFhK6EboQLCd0JPQg9Cb0IvQl9CBcR+hL6EeKEfEIBoZBQRLiYcAnhUsJlhMsJVxCuJFxFuJpwDeFawnWE6wk3EG4k3ES4mXAL4VbCbYTbCXcQ7iT0Jwwg3EW4m3APYSBhEGEwYQjhXsJQwjDCcMIIwkjCKMJowhjCWMJ9hHGE8YQJhImESYTJhCmEqYRphPsJ0wkzCDMJswizCXMIDxAeJDxEeJgwlzCP8AjhUcJjhMcJ8wkLCE8QniQ8RVhIeJrwDOFZwnOE5wkvEF4kvERYRFhMeJmwhLCUsIywnLCCsJKwirCasIawlrCOsJ7wCmEDYSNhE+FVwmbCFsJrhK2EbYTXCdsJOwhvEN4k7CTsIuwmvEXYQ3ib8A5hL+FdwnuE9wn7CB8QPiR8RPiY8AnhU8JnhM8JXxC+JHxF+JrwDeFbwneE7wk/EH4k/ET4mfAL4VfCb4TfCX8Q9hP+JPxF0Ju/JKEUIYMQImQSsghhQoRQmlCGUJZQjlCeUIFQkVCJUJlwGOFwQhVCVUI1QnVCDUJNQi1CbUIdwhGEIwl1CfUI9QlHEY4mHENoQDiWcBzheMIJhBMJJxFOJpxCOJVwGkEnSkXIJjQk5BAaEXIJeYQoIUY4nXAGoTHhTMJZhLMJTQjnEM4lNCU0IzQntCC0JLQitCa0IbQltCO0J5xH6EA4n9CR0InQmdCFcAGhK6Eb4UJCd0IPQk9CL0JvQh/CRYS+hH6EOCGfUEAoJBQRLiZcQriUcBnhcsIVhCsJVxGuJlxDuJZwHeF6wg2EGwk3EW4m3EK4lXAb4XbCHYQ7Cf0JAwh3Ee4m3EMYSBhEGEwYQriXMJQwjDCcMIIwkjCKMJowhjCWcB9hHGE8YQJhImESYTJhCmEqYRrhfsJ0wgzCTMIswmzCHMIDhAcJDxEeJswlzCM8QniU8BjhccJ8wgLCE4QnCU8RFhKeJjxDeJbwHOF5wguEFwkvERYRFhNeJiwhLCUsIywnrCCsJKwirCasIawlrCOsJ7xC2EDYSNhEeJWwmbCF8BphK2Eb4XXCdsIOwhuENwk7CbsIuwlvEfYQ3ia8Q9hLeJfwHuF9wj7CB4QPCR8RPiZ8QviU8Bnhc8IXhC8JXxG+JnxD+JbwHeF7wg+EHwk/EX4m/EL4lfAb4XfCH4T9hD8JfxH0wV+SUIqQQQgRMglZhDAhQihNKEMoSyhHKE+oQKhIqESoTDiMcDihCqEqoRqhOqEGoSahFqE2oQ7hCMKRhLqEeoT6hKMIRxOOITQgHEs4jnA84QTCiYSTCCcTTiGcSjiN4BAUIZvQkJBDaETIJeQRooQY4XTCGYTGhDMJZxHO1rUf4RzCuYSmhGaE5oQWhJaEVoTWhDaEtoR2hPaE8wgdCOcTOhI6EToTuhAuIHQl6HfU63e263eY63d663dc63c+63cg63cC63fk9iXod6jqd4rqd2zqd07qdzDqdxLqd/Tpd9bpd7jpd5rpd3zpd17pd0DpdyLpdwTpd+bod8jod6rod4zod27od1DodzLodxToZ/brZ9jrZ7rrZ5zrZ37rZ2DrZ0LrZyTfRdDP0NXPlNXPWNXPHNXP4NTPpNTPaNTPLNTP8NPPtNPPeNPPPNPPANPPxNLPiNLPTNLPENLP1NHPmNHPXNHPINHP5NDPqNDPbNDPMNB/06//xl3/zbf+G2j9N8H6b2RnE/TfUOq/KdR/Y6f/5kz/DZb+myT9Nzr6b1b033Dov2nQ9/jre971PeD6nmh9j7C+Z1bfQ6rvqdT3GOp77vQ9aPqeLH2Pkr5nR9/Dou/p0Pc46Gv++hq4viasr5Hqa4b6Gpq+pqSvsehrDvo7eP2dtP6OVn9nqb/D099p6e949Hce+jsArYm1RtSaSWuIbYTXCR8TPiF8SviM8DnhC8KXhK8IX5cq8b/22N8f/zOubmf3b/xVhRNbLPZ0/ef/T7d+jS9pf2nZadd4+za7fXtf//7auetuudnbt8Xt+/DsCTed0fehO7x9r7l97SfePCy/Y+fq3r6tbl/n3msHrTo6v7u3b5vb91Odhd3ajt/bwNu33e3bWeq5vsPeLVvP27fD7WuwoOEdu274Ypq3b5fbN2bD8m+79Hhjlbdvt9v30W0PT7hyYYMF3r533L6v5317fa3TNyX48JHbt+ylirf+sPf6Xt6+z9L8u2/S/Lsf0vy739L8uz/T/LtQRup/l+n2zXr0yOdqf1Cqh7cvK01fY7fvzw+nnPPpsDYLvX1npvl3zdy+k6tkzX9+/WH3evvauH11r1l+eoeNl/3s7Wvr9u3Y/N6UVbnVtnn72rl9i9784vE6nRp19PZ1cvu6Fj4yecnYZ57x9nV2+24fO3fkcWN2/+bt6+L2Ffx+09IFbWZv9PZd4Pa1XLBv9C8vfznW29fV7YudtKbTrDbD3/L29XT73nt/Zu16O2rmevv6pukrSrN+V6Tpuy5N3y1p+qa7fRVP219z0e6fMrx9vTJT99UJp+7bE0ndd3uZ//7s8GyDT/78/OyG3r470vTdmaavf5q+AWn67krTd3eavnvS9A1M0zcoTd/gNH1D0vTdm6ZvaJq+YWn6hqfpG5Gmb2SavlFp+kan6RuTpm9smr770vSNS9M3Pk3fhDR9E9P0TUrTNzlN35Q0fVPT9E1L03d/mr7pafpmpOmbmaZvVpq+2Wn65qTpeyBN34Np+h5K0/dwmr65afrmpel7JE3fo2n6HkvT93iavvlp+hak6XsiTd+TafqeStO3ME3f02n6nknT92yavufS9D2fpu+FNH0vpul7KU3fojR9i9P0vZymb0mavqVp+pal6Vuepm9Fmr6VafpWpelbnaZvTZq+tWn61qXpW5+m75U0fRvS9G1M07cpTd+rafo2p+nbkqbvtTR9W9P0bUvT93qavu1p+nak6XsjTd+bafp2punblaZvd5q+t9L07UnT93aavnfS9O1N0/dumr730vS9n6ZvX5q+D9L0fZim76M0fR+n6fskTd+nafo+S9P3eZq+L9L0fZmm76s0fV+n6fsmTd+3afq+S9P3fZq+H9L0/Zim76c0fT+n6fslTd+vafp+S9FXLARLJ/2s6v4s6f43TdzfHX9NFY9fRWZ8J1zin62q53OVJD89X9XBbEie28wS/2ylkvqK/9tIkn0l8fapZFsymP+v4na4+7OKh6uawtYynnGAa5pdPH5ZmfHZmCnj+Vw2qa947ULMvyuZ4vdSST/T/bcl04xbnukrHrN4rbz2FvtR2f1ZPJeZnnGRc1k8fpbM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","file_map":{"18":{"source":"pub mod bn254;\nuse crate::{runtime::is_unconstrained, static_assert};\nuse bn254::lt as bn254_lt;\n\nimpl Field {\n /// Asserts that `self` can be represented in `bit_size` bits.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^{bit_size}`.\n // docs:start:assert_max_bit_size\n pub fn assert_max_bit_size(self) {\n // docs:end:assert_max_bit_size\n static_assert(\n BIT_SIZE < modulus_num_bits() as u32,\n \"BIT_SIZE must be less than modulus_num_bits\",\n );\n __assert_max_bit_size(self, BIT_SIZE);\n }\n\n /// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n /// This slice will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_le_bits\n pub fn to_le_bits(self: Self) -> [u1; N] {\n // docs:end:to_le_bits\n let bits = __to_le_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[N - 1 - i] != p[N - 1 - i]) {\n assert(p[N - 1 - i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n /// This array will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_be_bits\n pub fn to_be_bits(self: Self) -> [u1; N] {\n // docs:end:to_be_bits\n let bits = __to_be_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the decomposition does not overflow the modulus\n let p = modulus_be_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[i] != p[i]) {\n assert(p[i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its little endian byte decomposition as a `[u8;N]` array\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_le_bytes\n pub fn to_le_bytes(self: Self) -> [u8; N] {\n // docs:end:to_le_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_le_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[N - 1 - i] != p[N - 1 - i]) {\n assert(bytes[N - 1 - i] < p[N - 1 - i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n /// Decomposes `self` into its big endian byte decomposition as a `[u8;N]` array of length required to represent the field modulus\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_be_bytes\n pub fn to_be_bytes(self: Self) -> [u8; N] {\n // docs:end:to_be_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_be_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_be_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[i] != p[i]) {\n assert(bytes[i] < p[i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n fn to_le_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_le_radix(self, radix)\n }\n\n fn to_be_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_be_radix(self, radix)\n }\n\n // Returns self to the power of the given exponent value.\n // Caution: we assume the exponent fits into 32 bits\n // using a bigger bit size impacts negatively the performance and should be done only if the exponent does not fit in 32 bits\n pub fn pow_32(self, exponent: Field) -> Field {\n let mut r: Field = 1;\n let b: [u1; 32] = exponent.to_le_bits();\n\n for i in 1..33 {\n r *= r;\n r = (b[32 - i] as Field) * (r * self) + (1 - b[32 - i] as Field) * r;\n }\n r\n }\n\n // Parity of (prime) Field element, i.e. sgn0(x mod p) = 0 if x `elem` {0, ..., p-1} is even, otherwise sgn0(x mod p) = 1.\n pub fn sgn0(self) -> u1 {\n self as u1\n }\n\n pub fn lt(self, another: Field) -> bool {\n if crate::compat::is_bn254() {\n bn254_lt(self, another)\n } else {\n lt_fallback(self, another)\n }\n }\n\n /// Convert a little endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_le_bytes(bytes: [u8; N]) -> Field {\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[i] as Field) * v;\n v = v * 256;\n }\n result\n }\n\n /// Convert a big endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_be_bytes(bytes: [u8; N]) -> Field {\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[N - 1 - i] as Field) * v;\n v = v * 256;\n }\n result\n }\n}\n\n#[builtin(apply_range_constraint)]\nfn __assert_max_bit_size(value: Field, bit_size: u32) {}\n\n// `_radix` must be less than 256\n#[builtin(to_le_radix)]\nfn __to_le_radix(value: Field, radix: u32) -> [u8; N] {}\n\n// `_radix` must be less than 256\n#[builtin(to_be_radix)]\nfn __to_be_radix(value: Field, radix: u32) -> [u8; N] {}\n\n/// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n/// This slice will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_le_bits)]\nfn __to_le_bits(value: Field) -> [u1; N] {}\n\n/// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n/// This array will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_be_bits)]\nfn __to_be_bits(value: Field) -> [u1; N] {}\n\n#[builtin(modulus_num_bits)]\npub comptime fn modulus_num_bits() -> u64 {}\n\n#[builtin(modulus_be_bits)]\npub comptime fn modulus_be_bits() -> [u1] {}\n\n#[builtin(modulus_le_bits)]\npub comptime fn modulus_le_bits() -> [u1] {}\n\n#[builtin(modulus_be_bytes)]\npub comptime fn modulus_be_bytes() -> [u8] {}\n\n#[builtin(modulus_le_bytes)]\npub comptime fn modulus_le_bytes() -> [u8] {}\n\n/// An unconstrained only built in to efficiently compare fields.\n#[builtin(field_less_than)]\nunconstrained fn __field_less_than(x: Field, y: Field) -> bool {}\n\npub(crate) unconstrained fn field_less_than(x: Field, y: Field) -> bool {\n __field_less_than(x, y)\n}\n\n// Convert a 32 byte array to a field element by modding\npub fn bytes32_to_field(bytes32: [u8; 32]) -> Field {\n // Convert it to a field element\n let mut v = 1;\n let mut high = 0 as Field;\n let mut low = 0 as Field;\n\n for i in 0..16 {\n high = high + (bytes32[15 - i] as Field) * v;\n low = low + (bytes32[16 + 15 - i] as Field) * v;\n v = v * 256;\n }\n // Abuse that a % p + b % p = (a + b) % p and that low < p\n low + high * v\n}\n\nfn lt_fallback(x: Field, y: Field) -> bool {\n if is_unconstrained() {\n // Safety: unconstrained context\n unsafe {\n field_less_than(x, y)\n }\n } else {\n let x_bytes: [u8; 32] = x.to_le_bytes();\n let y_bytes: [u8; 32] = y.to_le_bytes();\n let mut x_is_lt = false;\n let mut done = false;\n for i in 0..32 {\n if (!done) {\n let x_byte = x_bytes[32 - 1 - i] as u8;\n let y_byte = y_bytes[32 - 1 - i] as u8;\n let bytes_match = x_byte == y_byte;\n if !bytes_match {\n x_is_lt = x_byte < y_byte;\n done = true;\n }\n }\n }\n x_is_lt\n }\n}\n\nmod tests {\n use crate::{panic::panic, runtime};\n use super::field_less_than;\n\n #[test]\n // docs:start:to_be_bits_example\n fn test_to_be_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_be_bits();\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 1, 0]);\n }\n // docs:end:to_be_bits_example\n\n #[test]\n // docs:start:to_le_bits_example\n fn test_to_le_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_le_bits();\n assert_eq(bits, [0, 1, 0, 0, 0, 0, 0, 0]);\n }\n // docs:end:to_le_bits_example\n\n #[test]\n // docs:start:to_be_bytes_example\n fn test_to_be_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_be_bytes();\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_bytes_example\n\n #[test]\n // docs:start:to_le_bytes_example\n fn test_to_le_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_le_bytes();\n assert_eq(bytes, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_bytes_example\n\n #[test]\n // docs:start:to_be_radix_example\n fn test_to_be_radix() {\n // 259, in base 256, big endian, is [1, 3].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_be_radix(256);\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 1, 3]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_radix_example\n\n #[test]\n // docs:start:to_le_radix_example\n fn test_to_le_radix() {\n // 259, in base 256, little endian, is [3, 1].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_le_radix(256);\n assert_eq(bytes, [3, 1, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_radix_example\n\n #[test(should_fail_with = \"radix must be greater than 1\")]\n fn test_to_le_radix_1() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(1);\n } else {\n panic(f\"radix must be greater than 1\");\n }\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be greater than 2\n //#[test]\n //fn test_to_le_radix_brillig_1() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(1);\n // crate::println(out);\n // let expected = [0; 8];\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test(should_fail_with = \"radix must be a power of 2\")]\n fn test_to_le_radix_3() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(3);\n } else {\n panic(f\"radix must be a power of 2\");\n }\n }\n\n #[test]\n fn test_to_le_radix_brillig_3() {\n // this test should only fail in constrained mode\n if runtime::is_unconstrained() {\n let field = 1;\n let out: [u8; 8] = field.to_le_radix(3);\n let mut expected = [0; 8];\n expected[0] = 1;\n assert(out == expected, \"unexpected result\");\n }\n }\n\n #[test(should_fail_with = \"radix must be less than or equal to 256\")]\n fn test_to_le_radix_512() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(512);\n } else {\n panic(f\"radix must be less than or equal to 256\")\n }\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n unconstrained fn not_enough_limbs_brillig() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n fn not_enough_limbs() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be less than 512\n //#[test]\n //fn test_to_le_radix_brillig_512() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(512);\n // let mut expected = [0; 8];\n // expected[0] = 1;\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test]\n unconstrained fn test_field_less_than() {\n assert(field_less_than(0, 1));\n assert(field_less_than(0, 0x100));\n assert(field_less_than(0x100, 0 - 1));\n assert(!field_less_than(0 - 1, 0));\n }\n}\n","path":"std/field/mod.nr"},"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"61":{"source":"use common::{\n check_commitment, check_input_note_ownership, get_address, get_note_commitment, InputNote, Note,\n};\nuse poseidon::poseidon2;\n\npub fn utxo_main(\n input_notes: [InputNote; 2],\n output_notes: [Note; 2],\n pmessage4: Field,\n commitments: [Field; 4],\n messages: [Field; 5],\n) {\n // Check the commitments\n check_commitment(input_notes[0].note, commitments[0]);\n check_commitment(input_notes[1].note, commitments[1]);\n check_commitment(output_notes[0], commitments[2]);\n check_commitment(output_notes[1], commitments[3]);\n\n // Check individual outputs are not greater than 240 bits\n output_notes[0].value.assert_max_bit_size::<240>();\n output_notes[1].value.assert_max_bit_size::<240>();\n\n let input_value = input_notes[0].note.value + input_notes[1].note.value;\n\n let output_value = output_notes[0].value + output_notes[1].value;\n\n // Check for multiple kinds, not currently supported in this proof\n let (is_multiple_kinds, _note_kind) = is_multiple_kinds([\n input_notes[0].note,\n input_notes[1].note,\n output_notes[0],\n output_notes[1],\n ]);\n assert(!is_multiple_kinds, \"Inconsistent kinds are not allowed\");\n\n // Kind of UTXO txn\n let kind = messages[0];\n\n // Messages (only for mint/burns, otherwise all zeros)\n let msg_note_kind = messages[1];\n let msg_value = messages[2];\n\n // Assert message value size is max 240 bits to prevent overflow attack\n msg_value.assert_max_bit_size::<240>();\n\n let msg_hash = messages[3];\n let burn_addr = messages[4];\n\n let mint_hash = poseidon2::Poseidon2::hash([output_notes[0].psi, output_notes[1].psi], 2);\n\n let burn_hash = commitments[0];\n\n if (kind == 1) {\n assert(input_value == output_value, \"Input and output totals do not match\");\n } else if (kind == 2) {\n assert(output_value == input_value + msg_value, \"Mint output must match value message\");\n assert(mint_hash == msg_hash, \"Mint hash must match message\");\n assert(output_notes[0].kind == msg_note_kind, \"Mint note kind must match message\")\n } else if (kind == 3) {\n assert(pmessage4 == burn_addr, \"messages[4] must match private input\");\n assert(burn_hash == msg_hash, \"Burn hash must match message\");\n assert(input_value == output_value + msg_value, \"Burn output must match value message\");\n assert(input_notes[0].note.kind == msg_note_kind, \"Burn note kind must match message\")\n } else {\n assert(false, \"Invalid kind\");\n }\n\n // Check the user owns the input notes\n check_input_note_ownership(input_notes[0]);\n check_input_note_ownership(input_notes[1]);\n}\n\nfn is_multiple_kinds(notes: [Note; 4]) -> (bool, Field) {\n let mut first_non_zero_kind = 0;\n let mut is_multiple_kinds = false;\n\n for i in 0..4 {\n if !is_multiple_kinds {\n if notes[i].kind != 0 {\n if first_non_zero_kind == 0 {\n first_non_zero_kind = notes[i].kind;\n } else if first_non_zero_kind != notes[i].kind {\n is_multiple_kinds = true;\n }\n }\n }\n }\n\n (is_multiple_kinds, first_non_zero_kind)\n}\n\nfn bridged_note_kind() -> Field {\n 3533694129556768672311144317398675444585744224105014452550528428861358080\n}\n\n#[test]\nfn test_send_two_inputs_two_outputs() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 1, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 14, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_send_one_input_two_outputs() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 1, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 9, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_send_two_inputs_one_output() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: 0, value: 0, address, psi: 0 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test(should_fail)]\nfn test_send_diff_kinds() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: 2, value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: 2, value: 5, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_mint() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 30, address, psi: 3 };\n\n let commitments = [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ];\n\n let mint_hash = poseidon2::Poseidon2::hash([note_3.psi, note_4.psi], 2);\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n commitments,\n [2, bridged_note_kind(), 10, mint_hash, 0],\n )\n}\n\n#[test]\nfn test_burn() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: 0, value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 10, address, psi: 3 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [3, bridged_note_kind(), 10, get_note_commitment(note_1), 0],\n )\n}\n\n#[test]\nfn test_send_zero_value() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 0, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 0, address, psi: 3 };\n let note_4 = Note { kind: 0, value: 0, address, psi: 0 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_mint_with_padding_input() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 5, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 0, address: 0, psi: 0 };\n\n let commitments = [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ];\n\n let mint_hash = poseidon2::Poseidon2::hash([note_3.psi, note_4.psi], 2);\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n commitments,\n [2, bridged_note_kind(), 10, mint_hash, 0],\n )\n}\n\n#[test]\nfn test_burn_single_input() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: 0, value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 5, address, psi: 3 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [3, bridged_note_kind(), 10, get_note_commitment(note_1), 0],\n )\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/utxo_lib/src/lib.nr"},"72":{"source":"use common::{check_commitment, check_input_note_ownership, InputNote, Note};\nuse poseidon::poseidon2;\nuse utxo_lib::utxo_main;\n\nfn field_to_bytes(value: Field) -> [u8; 32] {\n value.to_be_bytes()\n}\n\nfn field_low_bytes(value: Field) -> [u8; 4] {\n let bytes: [u8; 31] = value.to_be_bytes();\n [bytes[27], bytes[28], bytes[29], bytes[30]]\n}\n\nfn main(\n // Hyli-required public plumbing\n version: pub u32,\n initial_state_len: pub u32,\n initial_state: pub [u8; 4],\n next_state_len: pub u32,\n next_state: pub [u8; 4],\n identity_len: pub u8,\n identity: pub str<256>,\n tx_hash: pub str<64>,\n index: pub u32,\n blob_number: pub u32,\n blob_index: pub u32,\n blob_contract_name_len: pub u8,\n blob_contract_name: pub str<256>,\n blob_capacity: pub u32,\n blob_len: pub u32,\n blob: pub [u8; 128],\n tx_blob_count: pub u32,\n success: pub bool,\n // Wrapped UTXO inputs (mirrors noir/utxo)\n input_notes: [InputNote; 2],\n output_notes: [Note; 2],\n pmessage4: Field,\n commitments: pub [Field; 4],\n messages: pub [Field; 5],\n) {\n // ---------------------------------------------------------------------\n // Hyli contract framing\n // ---------------------------------------------------------------------\n assert(success, \"contract execution must succeed\");\n assert(version == 1, \"unsupported Hyli output version\");\n\n assert(initial_state_len == 4, \"initial_state must be 4 bytes\");\n assert(next_state_len == 4, \"next_state must be 4 bytes\");\n\n assert(blob_capacity == 128, \"blob capacity must be 128 bytes\");\n assert(blob_len == 128, \"blob length must be 128 bytes\");\n assert(blob_number == 1, \"exactly one blob is expected\");\n assert(tx_blob_count >= blob_number, \"transaction must provide enough blobs\");\n assert(blob_index == index, \"blob index must align with invocation index\");\n\n // // Basic hygiene on the identity payload so the plumbing is exercised.\n // let identity_bytes = identity.as_bytes();\n // assert(identity_bytes.len() == identity_len as u32, \"identity_len mismatch\");\n\n // let tx_hash_bytes = tx_hash.as_bytes();\n // assert(tx_hash_bytes.len() <= 64, \"tx hash too long\");\n\n assert(identity_len as u32 <= 256, \"identity length overflow\");\n assert(blob_contract_name_len == 9, \"blob contract name must be 9 bytes\");\n\n let _ = initial_state;\n let _ = next_state;\n\n\n // ---------------------------------------------------------------------\n // Call through to the original UTXO circuit\n // ---------------------------------------------------------------------\n utxo_main(\n input_notes,\n output_notes,\n pmessage4,\n commitments,\n messages,\n );\n\n // Mirror key checks so the Hyli host can rely on them directly.\n check_commitment(input_notes[0].note, commitments[0]);\n check_commitment(input_notes[1].note, commitments[1]);\n check_commitment(output_notes[0], commitments[2]);\n check_commitment(output_notes[1], commitments[3]);\n\n check_input_note_ownership(input_notes[0]);\n check_input_note_ownership(input_notes[1]);\n\n // ---------------------------------------------------------------------\n // Collect nullifier commitments to expose them through the blob payload.\n // ---------------------------------------------------------------------\n let mut nullifier_commitments: [Field; 2] = [0; 2];\n for i in 0..2 {\n let note = input_notes[i];\n let private_commitment = poseidon2::Poseidon2::hash([note.note.psi, note.secret_key], 2);\n nullifier_commitments[i] = private_commitment;\n }\n\n let expected_blob = build_blob_payload(commitments, nullifier_commitments);\n assert(blob == expected_blob, \"blob must match concatenated commitments\");\n}\n\nfn build_blob_payload(\n commitments: [Field; 4],\n nullifier_commitments: [Field; 2],\n) -> [u8; 128] {\n let mut bytes: [u8; 128] = [0; 128];\n let mut offset: u32 = 0;\n\n for i in 0..2 {\n let commitment_bytes = field_to_bytes(commitments[i]);\n for j in 0..32 {\n let j_idx: u32 = j as u32;\n let index: u32 = offset + j_idx;\n bytes[index] = commitment_bytes[j_idx];\n }\n offset += 32;\n }\n\n for i in 0..2 {\n let commitment_bytes = field_to_bytes(nullifier_commitments[i]);\n for j in 0..32 {\n let j_idx: u32 = j as u32;\n let index: u32 = offset + j_idx;\n bytes[index] = commitment_bytes[j_idx];\n }\n offset += 32;\n }\n\n bytes\n}\n\n#[test]\nfn test_build_blob_payload_concatenates_commitments() {\n let commitments: [Field; 4] = [11, 22, 33, 44];\n let nullifiers: [Field; 2] = [55, 66];\n let blob = build_blob_payload(commitments, nullifiers);\n let mut expected: [u8; 128] = [0; 128];\n\n let arrays = [\n field_to_bytes(commitments[0]),\n field_to_bytes(commitments[1]),\n field_to_bytes(nullifiers[0]),\n field_to_bytes(nullifiers[1]),\n ];\n\n for i in 0..4 {\n let start = i * 32;\n for j in 0..32 {\n expected[start + j] = arrays[i][j];\n }\n }\n\n assert(blob == expected, \"blob must match concatenated commitment bytes\");\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/hyli_utxo/src/main.nr"}},"names":["main"],"brillig_names":["directive_invert","directive_integer_quotient","directive_to_radix"]} \ No newline at end of file +{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"11258540527380821879","abi":{"parameters":[{"name":"version","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"initial_state_len","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"initial_state","type":{"kind":"array","length":4,"type":{"kind":"integer","sign":"unsigned","width":8}},"visibility":"public"},{"name":"next_state_len","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"next_state","type":{"kind":"array","length":4,"type":{"kind":"integer","sign":"unsigned","width":8}},"visibility":"public"},{"name":"identity_len","type":{"kind":"integer","sign":"unsigned","width":8},"visibility":"public"},{"name":"identity","type":{"kind":"string","length":256},"visibility":"public"},{"name":"tx_hash","type":{"kind":"string","length":64},"visibility":"public"},{"name":"index","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"blob_number","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"blob_index","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"blob_contract_name_len","type":{"kind":"integer","sign":"unsigned","width":8},"visibility":"public"},{"name":"blob_contract_name","type":{"kind":"string","length":256},"visibility":"public"},{"name":"blob_capacity","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"blob_len","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"blob","type":{"kind":"array","length":128,"type":{"kind":"integer","sign":"unsigned","width":8}},"visibility":"public"},{"name":"tx_blob_count","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"public"},{"name":"success","type":{"kind":"boolean"},"visibility":"public"},{"name":"input_notes","type":{"kind":"array","length":2,"type":{"kind":"struct","path":"common::InputNote","fields":[{"name":"note","type":{"kind":"struct","path":"common::Note","fields":[{"name":"kind","type":{"kind":"field"}},{"name":"value","type":{"kind":"field"}},{"name":"address","type":{"kind":"field"}},{"name":"psi","type":{"kind":"field"}}]}},{"name":"secret_key","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"output_notes","type":{"kind":"array","length":2,"type":{"kind":"struct","path":"common::Note","fields":[{"name":"kind","type":{"kind":"field"}},{"name":"value","type":{"kind":"field"}},{"name":"address","type":{"kind":"field"}},{"name":"psi","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"pmessage4","type":{"kind":"field"},"visibility":"private"},{"name":"commitments","type":{"kind":"array","length":4,"type":{"kind":"field"}},"visibility":"public"},{"name":"messages","type":{"kind":"array","length":5,"type":{"kind":"field"}},"visibility":"public"}],"return_type":null,"error_types":{"285656119219400463":{"error_kind":"string","string":"Field failed to decompose into specified 32 limbs"},"1680776573889254733":{"error_kind":"string","string":"blob capacity must be 128 bytes"},"1714809443410094063":{"error_kind":"string","string":"Padding notes must be zero value"},"2309186114595128024":{"error_kind":"string","string":"transaction must provide enough blobs"},"2729061851012865270":{"error_kind":"string","string":"exactly one blob is expected"},"3692929699516101711":{"error_kind":"string","string":"blob must match concatenated commitments"},"3898381286344942305":{"error_kind":"string","string":"Input note is not owned by the owner"},"5851673573934815162":{"error_kind":"string","string":"Mint note kind must match message"},"6441031214723128659":{"error_kind":"string","string":"blob length must be 128 bytes"},"6485997221020871071":{"error_kind":"string","string":"call to assert_max_bit_size"},"6661914514907183551":{"error_kind":"string","string":"Note commitment is not valid"},"8113810225559518305":{"error_kind":"string","string":"unsupported Hyli output version"},"8608850205409006559":{"error_kind":"string","string":"initial_state must be 4 bytes"},"8981409365392375781":{"error_kind":"string","string":"next_state must be 4 bytes"},"9733062431596745772":{"error_kind":"string","string":"Input and output totals do not match"},"10443210886677245255":{"error_kind":"string","string":"Burn note kind must match message"},"11163426053785103653":{"error_kind":"string","string":"blob index must align with invocation index"},"12476573426903251686":{"error_kind":"string","string":"blob contract name must be 9 bytes"},"12775174927910757886":{"error_kind":"string","string":"Inconsistent kinds are not allowed"},"12948852497587922262":{"error_kind":"string","string":"messages[4] must match private input"},"13494519577077120575":{"error_kind":"string","string":"contract execution must succeed"},"14111565803291724431":{"error_kind":"string","string":"identity length overflow"},"14672809696058342244":{"error_kind":"string","string":"Burn output must match value message"},"15138347411163958997":{"error_kind":"string","string":"Mint hash must match message"},"15819538689241197369":{"error_kind":"string","string":"Invalid kind"},"17828285616048074783":{"error_kind":"string","string":"Mint output must match value message"},"18075917454431129723":{"error_kind":"string","string":"Burn hash must match 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","file_map":{"18":{"source":"pub mod bn254;\nuse crate::{runtime::is_unconstrained, static_assert};\nuse bn254::lt as bn254_lt;\n\nimpl Field {\n /// Asserts that `self` can be represented in `bit_size` bits.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^{bit_size}`.\n // docs:start:assert_max_bit_size\n pub fn assert_max_bit_size(self) {\n // docs:end:assert_max_bit_size\n static_assert(\n BIT_SIZE < modulus_num_bits() as u32,\n \"BIT_SIZE must be less than modulus_num_bits\",\n );\n __assert_max_bit_size(self, BIT_SIZE);\n }\n\n /// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n /// This slice will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_le_bits\n pub fn to_le_bits(self: Self) -> [u1; N] {\n // docs:end:to_le_bits\n let bits = __to_le_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[N - 1 - i] != p[N - 1 - i]) {\n assert(p[N - 1 - i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n /// This array will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_be_bits\n pub fn to_be_bits(self: Self) -> [u1; N] {\n // docs:end:to_be_bits\n let bits = __to_be_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the decomposition does not overflow the modulus\n let p = modulus_be_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[i] != p[i]) {\n assert(p[i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its little endian byte decomposition as a `[u8;N]` array\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_le_bytes\n pub fn to_le_bytes(self: Self) -> [u8; N] {\n // docs:end:to_le_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_le_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[N - 1 - i] != p[N - 1 - i]) {\n assert(bytes[N - 1 - i] < p[N - 1 - i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n /// Decomposes `self` into its big endian byte decomposition as a `[u8;N]` array of length required to represent the field modulus\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_be_bytes\n pub fn to_be_bytes(self: Self) -> [u8; N] {\n // docs:end:to_be_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_be_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_be_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[i] != p[i]) {\n assert(bytes[i] < p[i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n fn to_le_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_le_radix(self, radix)\n }\n\n fn to_be_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_be_radix(self, radix)\n }\n\n // Returns self to the power of the given exponent value.\n // Caution: we assume the exponent fits into 32 bits\n // using a bigger bit size impacts negatively the performance and should be done only if the exponent does not fit in 32 bits\n pub fn pow_32(self, exponent: Field) -> Field {\n let mut r: Field = 1;\n let b: [u1; 32] = exponent.to_le_bits();\n\n for i in 1..33 {\n r *= r;\n r = (b[32 - i] as Field) * (r * self) + (1 - b[32 - i] as Field) * r;\n }\n r\n }\n\n // Parity of (prime) Field element, i.e. sgn0(x mod p) = 0 if x `elem` {0, ..., p-1} is even, otherwise sgn0(x mod p) = 1.\n pub fn sgn0(self) -> u1 {\n self as u1\n }\n\n pub fn lt(self, another: Field) -> bool {\n if crate::compat::is_bn254() {\n bn254_lt(self, another)\n } else {\n lt_fallback(self, another)\n }\n }\n\n /// Convert a little endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_le_bytes(bytes: [u8; N]) -> Field {\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[i] as Field) * v;\n v = v * 256;\n }\n result\n }\n\n /// Convert a big endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_be_bytes(bytes: [u8; N]) -> Field {\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[N - 1 - i] as Field) * v;\n v = v * 256;\n }\n result\n }\n}\n\n#[builtin(apply_range_constraint)]\nfn __assert_max_bit_size(value: Field, bit_size: u32) {}\n\n// `_radix` must be less than 256\n#[builtin(to_le_radix)]\nfn __to_le_radix(value: Field, radix: u32) -> [u8; N] {}\n\n// `_radix` must be less than 256\n#[builtin(to_be_radix)]\nfn __to_be_radix(value: Field, radix: u32) -> [u8; N] {}\n\n/// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n/// This slice will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_le_bits)]\nfn __to_le_bits(value: Field) -> [u1; N] {}\n\n/// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n/// This array will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_be_bits)]\nfn __to_be_bits(value: Field) -> [u1; N] {}\n\n#[builtin(modulus_num_bits)]\npub comptime fn modulus_num_bits() -> u64 {}\n\n#[builtin(modulus_be_bits)]\npub comptime fn modulus_be_bits() -> [u1] {}\n\n#[builtin(modulus_le_bits)]\npub comptime fn modulus_le_bits() -> [u1] {}\n\n#[builtin(modulus_be_bytes)]\npub comptime fn modulus_be_bytes() -> [u8] {}\n\n#[builtin(modulus_le_bytes)]\npub comptime fn modulus_le_bytes() -> [u8] {}\n\n/// An unconstrained only built in to efficiently compare fields.\n#[builtin(field_less_than)]\nunconstrained fn __field_less_than(x: Field, y: Field) -> bool {}\n\npub(crate) unconstrained fn field_less_than(x: Field, y: Field) -> bool {\n __field_less_than(x, y)\n}\n\n// Convert a 32 byte array to a field element by modding\npub fn bytes32_to_field(bytes32: [u8; 32]) -> Field {\n // Convert it to a field element\n let mut v = 1;\n let mut high = 0 as Field;\n let mut low = 0 as Field;\n\n for i in 0..16 {\n high = high + (bytes32[15 - i] as Field) * v;\n low = low + (bytes32[16 + 15 - i] as Field) * v;\n v = v * 256;\n }\n // Abuse that a % p + b % p = (a + b) % p and that low < p\n low + high * v\n}\n\nfn lt_fallback(x: Field, y: Field) -> bool {\n if is_unconstrained() {\n // Safety: unconstrained context\n unsafe {\n field_less_than(x, y)\n }\n } else {\n let x_bytes: [u8; 32] = x.to_le_bytes();\n let y_bytes: [u8; 32] = y.to_le_bytes();\n let mut x_is_lt = false;\n let mut done = false;\n for i in 0..32 {\n if (!done) {\n let x_byte = x_bytes[32 - 1 - i] as u8;\n let y_byte = y_bytes[32 - 1 - i] as u8;\n let bytes_match = x_byte == y_byte;\n if !bytes_match {\n x_is_lt = x_byte < y_byte;\n done = true;\n }\n }\n }\n x_is_lt\n }\n}\n\nmod tests {\n use crate::{panic::panic, runtime};\n use super::field_less_than;\n\n #[test]\n // docs:start:to_be_bits_example\n fn test_to_be_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_be_bits();\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 1, 0]);\n }\n // docs:end:to_be_bits_example\n\n #[test]\n // docs:start:to_le_bits_example\n fn test_to_le_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_le_bits();\n assert_eq(bits, [0, 1, 0, 0, 0, 0, 0, 0]);\n }\n // docs:end:to_le_bits_example\n\n #[test]\n // docs:start:to_be_bytes_example\n fn test_to_be_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_be_bytes();\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_bytes_example\n\n #[test]\n // docs:start:to_le_bytes_example\n fn test_to_le_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_le_bytes();\n assert_eq(bytes, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_bytes_example\n\n #[test]\n // docs:start:to_be_radix_example\n fn test_to_be_radix() {\n // 259, in base 256, big endian, is [1, 3].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_be_radix(256);\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 1, 3]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_radix_example\n\n #[test]\n // docs:start:to_le_radix_example\n fn test_to_le_radix() {\n // 259, in base 256, little endian, is [3, 1].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_le_radix(256);\n assert_eq(bytes, [3, 1, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_radix_example\n\n #[test(should_fail_with = \"radix must be greater than 1\")]\n fn test_to_le_radix_1() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(1);\n } else {\n panic(f\"radix must be greater than 1\");\n }\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be greater than 2\n //#[test]\n //fn test_to_le_radix_brillig_1() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(1);\n // crate::println(out);\n // let expected = [0; 8];\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test(should_fail_with = \"radix must be a power of 2\")]\n fn test_to_le_radix_3() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(3);\n } else {\n panic(f\"radix must be a power of 2\");\n }\n }\n\n #[test]\n fn test_to_le_radix_brillig_3() {\n // this test should only fail in constrained mode\n if runtime::is_unconstrained() {\n let field = 1;\n let out: [u8; 8] = field.to_le_radix(3);\n let mut expected = [0; 8];\n expected[0] = 1;\n assert(out == expected, \"unexpected result\");\n }\n }\n\n #[test(should_fail_with = \"radix must be less than or equal to 256\")]\n fn test_to_le_radix_512() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(512);\n } else {\n panic(f\"radix must be less than or equal to 256\")\n }\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n unconstrained fn not_enough_limbs_brillig() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n fn not_enough_limbs() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be less than 512\n //#[test]\n //fn test_to_le_radix_brillig_512() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(512);\n // let mut expected = [0; 8];\n // expected[0] = 1;\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test]\n unconstrained fn test_field_less_than() {\n assert(field_less_than(0, 1));\n assert(field_less_than(0, 0x100));\n assert(field_less_than(0x100, 0 - 1));\n assert(!field_less_than(0 - 1, 0));\n }\n}\n","path":"std/field/mod.nr"},"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"61":{"source":"use common::{\n check_commitment, check_input_note_ownership, get_address, get_note_commitment, InputNote, Note,\n};\nuse poseidon::poseidon2;\n\npub fn utxo_main(\n input_notes: [InputNote; 2],\n output_notes: [Note; 2],\n pmessage4: Field,\n commitments: [Field; 4],\n messages: [Field; 5],\n) {\n // Check the commitments\n check_commitment(input_notes[0].note, commitments[0]);\n check_commitment(input_notes[1].note, commitments[1]);\n check_commitment(output_notes[0], commitments[2]);\n check_commitment(output_notes[1], commitments[3]);\n\n // Check individual outputs are not greater than 240 bits\n output_notes[0].value.assert_max_bit_size::<240>();\n output_notes[1].value.assert_max_bit_size::<240>();\n\n let input_value = input_notes[0].note.value + input_notes[1].note.value;\n\n let output_value = output_notes[0].value + output_notes[1].value;\n\n // Check for multiple kinds, not currently supported in this proof\n let (is_multiple_kinds, _note_kind) = is_multiple_kinds([\n input_notes[0].note,\n input_notes[1].note,\n output_notes[0],\n output_notes[1],\n ]);\n assert(!is_multiple_kinds, \"Inconsistent kinds are not allowed\");\n\n // Kind of UTXO txn\n let kind = messages[0];\n\n // Messages (only for mint/burns, otherwise all zeros)\n let msg_note_kind = messages[1];\n let msg_value = messages[2];\n\n // Assert message value size is max 240 bits to prevent overflow attack\n msg_value.assert_max_bit_size::<240>();\n\n let msg_hash = messages[3];\n let burn_addr = messages[4];\n\n let mint_hash = poseidon2::Poseidon2::hash([output_notes[0].psi, output_notes[1].psi], 2);\n\n let burn_hash = commitments[0];\n\n if (kind == 1) {\n assert(input_value == output_value, \"Input and output totals do not match\");\n } else if (kind == 2) {\n assert(output_value == input_value + msg_value, \"Mint output must match value message\");\n assert(mint_hash == msg_hash, \"Mint hash must match message\");\n assert(output_notes[0].kind == msg_note_kind, \"Mint note kind must match message\")\n } else if (kind == 3) {\n assert(pmessage4 == burn_addr, \"messages[4] must match private input\");\n assert(burn_hash == msg_hash, \"Burn hash must match message\");\n assert(input_value == output_value + msg_value, \"Burn output must match value message\");\n assert(input_notes[0].note.kind == msg_note_kind, \"Burn note kind must match message\")\n } else {\n assert(false, \"Invalid kind\");\n }\n\n // Check the user owns the input notes\n check_input_note_ownership(input_notes[0]);\n check_input_note_ownership(input_notes[1]);\n}\n\nfn is_multiple_kinds(notes: [Note; 4]) -> (bool, Field) {\n let mut first_non_zero_kind = 0;\n let mut is_multiple_kinds = false;\n\n for i in 0..4 {\n if !is_multiple_kinds {\n if notes[i].kind != 0 {\n if first_non_zero_kind == 0 {\n first_non_zero_kind = notes[i].kind;\n } else if first_non_zero_kind != notes[i].kind {\n is_multiple_kinds = true;\n }\n }\n }\n }\n\n (is_multiple_kinds, first_non_zero_kind)\n}\n\nfn bridged_note_kind() -> Field {\n 3533694129556768672311144317398675444585744224105014452550528428861358080\n}\n\n#[test]\nfn test_send_two_inputs_two_outputs() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 1, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 14, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_send_one_input_two_outputs() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 1, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 9, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_send_two_inputs_one_output() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: 0, value: 0, address, psi: 0 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test(should_fail)]\nfn test_send_diff_kinds() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: 2, value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: 2, value: 5, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_mint() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 30, address, psi: 3 };\n\n let commitments = [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ];\n\n let mint_hash = poseidon2::Poseidon2::hash([note_3.psi, note_4.psi], 2);\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n commitments,\n [2, bridged_note_kind(), 10, mint_hash, 0],\n )\n}\n\n#[test]\nfn test_burn() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: 0, value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 10, address, psi: 3 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [3, bridged_note_kind(), 10, get_note_commitment(note_1), 0],\n )\n}\n\n#[test]\nfn test_send_zero_value() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 0, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 0, address, psi: 3 };\n let note_4 = Note { kind: 0, value: 0, address, psi: 0 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_mint_with_padding_input() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 5, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 0, address: 0, psi: 0 };\n\n let commitments = [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ];\n\n let mint_hash = poseidon2::Poseidon2::hash([note_3.psi, note_4.psi], 2);\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n commitments,\n [2, bridged_note_kind(), 10, mint_hash, 0],\n )\n}\n\n#[test]\nfn test_burn_single_input() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: 0, value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 5, address, psi: 3 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [3, bridged_note_kind(), 10, get_note_commitment(note_1), 0],\n )\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/utxo_lib/src/lib.nr"},"72":{"source":"use common::{check_commitment, check_input_note_ownership, InputNote, Note};\nuse poseidon::poseidon2;\nuse utxo_lib::utxo_main;\n\nfn field_to_bytes(value: Field) -> [u8; 32] {\n value.to_be_bytes()\n}\n\n\nfn main(\n // Hyli-required public plumbing\n version: pub u32,\n initial_state_len: pub u32,\n initial_state: pub [u8; 4],\n next_state_len: pub u32,\n next_state: pub [u8; 4],\n identity_len: pub u8,\n identity: pub str<256>,\n tx_hash: pub str<64>,\n index: pub u32,\n blob_number: pub u32,\n blob_index: pub u32,\n blob_contract_name_len: pub u8,\n blob_contract_name: pub str<256>,\n blob_capacity: pub u32,\n blob_len: pub u32,\n blob: pub [u8; 128],\n tx_blob_count: pub u32,\n success: pub bool,\n // Wrapped UTXO inputs (mirrors noir/utxo)\n input_notes: [InputNote; 2],\n output_notes: [Note; 2],\n pmessage4: Field,\n commitments: pub [Field; 4],\n messages: pub [Field; 5],\n) {\n // ---------------------------------------------------------------------\n // Hyli contract framing\n // ---------------------------------------------------------------------\n assert(success, \"contract execution must succeed\");\n assert(version == 1, \"unsupported Hyli output version\");\n\n assert(initial_state_len == 4, \"initial_state must be 4 bytes\");\n assert(next_state_len == 4, \"next_state must be 4 bytes\");\n\n assert(blob_capacity == 128, \"blob capacity must be 128 bytes\");\n assert(blob_len == 128, \"blob length must be 128 bytes\");\n assert(blob_number == 1, \"exactly one blob is expected\");\n assert(tx_blob_count >= blob_number, \"transaction must provide enough blobs\");\n assert(blob_index == index, \"blob index must align with invocation index\");\n\n // // Basic hygiene on the identity payload so the plumbing is exercised.\n // let identity_bytes = identity.as_bytes();\n // assert(identity_bytes.len() == identity_len as u32, \"identity_len mismatch\");\n\n // let tx_hash_bytes = tx_hash.as_bytes();\n // assert(tx_hash_bytes.len() <= 64, \"tx hash too long\");\n\n assert(identity_len as u32 <= 256, \"identity length overflow\");\n assert(blob_contract_name_len == 9, \"blob contract name must be 9 bytes\");\n\n let _ = initial_state;\n let _ = next_state;\n\n\n // ---------------------------------------------------------------------\n // Call through to the original UTXO circuit\n // ---------------------------------------------------------------------\n utxo_main(\n input_notes,\n output_notes,\n pmessage4,\n commitments,\n messages,\n );\n\n // Mirror key checks so the Hyli host can rely on them directly.\n check_commitment(input_notes[0].note, commitments[0]);\n check_commitment(input_notes[1].note, commitments[1]);\n check_commitment(output_notes[0], commitments[2]);\n check_commitment(output_notes[1], commitments[3]);\n\n check_input_note_ownership(input_notes[0]);\n check_input_note_ownership(input_notes[1]);\n\n // ---------------------------------------------------------------------\n // Collect nullifier commitments to expose them through the blob payload.\n // ---------------------------------------------------------------------\n let mut nullifier_commitments: [Field; 2] = [0; 2];\n for i in 0..2 {\n let note = input_notes[i];\n let private_commitment = poseidon2::Poseidon2::hash([note.note.psi, note.secret_key], 2);\n nullifier_commitments[i] = private_commitment;\n }\n\n let expected_blob = build_blob_payload(commitments, nullifier_commitments);\n assert(blob == expected_blob, \"blob must match concatenated commitments\");\n}\n\nfn build_blob_payload(\n commitments: [Field; 4],\n nullifier_commitments: [Field; 2],\n) -> [u8; 128] {\n let mut bytes: [u8; 128] = [0; 128];\n let mut offset: u32 = 0;\n\n for i in 0..2 {\n let commitment_bytes = field_to_bytes(commitments[i]);\n for j in 0..32 {\n let j_idx: u32 = j as u32;\n let index: u32 = offset + j_idx;\n bytes[index] = commitment_bytes[j_idx];\n }\n offset += 32;\n }\n\n for i in 0..2 {\n let commitment_bytes = field_to_bytes(nullifier_commitments[i]);\n for j in 0..32 {\n let j_idx: u32 = j as u32;\n let index: u32 = offset + j_idx;\n bytes[index] = commitment_bytes[j_idx];\n }\n offset += 32;\n }\n\n bytes\n}\n\n#[test]\nfn test_build_blob_payload_concatenates_commitments() {\n let commitments: [Field; 4] = [11, 22, 33, 44];\n let nullifiers: [Field; 2] = [55, 66];\n let blob = build_blob_payload(commitments, nullifiers);\n let mut expected: [u8; 128] = [0; 128];\n\n let arrays = [\n field_to_bytes(commitments[0]),\n field_to_bytes(commitments[1]),\n field_to_bytes(nullifiers[0]),\n field_to_bytes(nullifiers[1]),\n ];\n\n for i in 0..4 {\n let start = i * 32;\n for j in 0..32 {\n expected[start + j] = arrays[i][j];\n }\n }\n\n assert(blob == expected, \"blob must match concatenated commitment bytes\");\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/hyli_utxo/src/main.nr"}},"names":["main"],"brillig_names":["directive_invert","directive_integer_quotient","directive_to_radix"]} \ No newline at end of file diff --git a/fixtures/programs/migrate.json b/fixtures/programs/migrate.json index f519cac..2a9e2ea 100644 --- a/fixtures/programs/migrate.json +++ b/fixtures/programs/migrate.json @@ -1 +1 @@ -{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"16043421634745477264","abi":{"parameters":[{"name":"owner_pk","type":{"kind":"field"},"visibility":"private"},{"name":"old_address","type":{"kind":"field"},"visibility":"public"},{"name":"new_address","type":{"kind":"field"},"visibility":"public"}],"return_type":null,"error_types":{"8440903874686811520":{"error_kind":"string","string":"New address is not owned by the owner"},"10714477864692412798":{"error_kind":"string","string":"Old address is not owned by the owner"}}},"bytecode":"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","debug_symbols":"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","file_map":{"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"66":{"source":"use common::get_address;\nuse poseidon_alt::hash;\n\nfn main(owner_pk: Field, old_address: pub Field, new_address: pub Field) {\n let calc_new_address = get_address(owner_pk);\n assert(calc_new_address == new_address, \"New address is not owned by the owner\");\n\n let calc_old_address = get_old_address(owner_pk);\n assert(calc_old_address == old_address, \"Old address is not owned by the owner\");\n}\n\nfn get_old_address(owner_pk: Field) -> Field {\n hash([owner_pk, 0])\n}\n\n#[test]\nfn test_main() {\n let pk = 101;\n let new_address = get_address(pk);\n let old_address = get_old_address(pk);\n\n println(new_address);\n println(old_address);\n\n main(pk, old_address, new_address)\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/migrate/src/main.nr"},"69":{"source":"use crate::constants::{FULL_ROUNDS, PARTIAL_ROUNDS, RATE, ROUND_CONSTANTS, MDS};\n\n// S-box function (x^5)\nfn sbox(x: Field) -> Field {\n let x2 = x * x;\n let x4 = x2 * x2;\n x4 * x\n}\n\n// Apply MDS matrix multiplication\nfn apply_mds(state: [Field; 3]) -> [Field; 3] {\n let mut result = [0; 3];\n for i in 0..3 {\n for j in 0..3 {\n result[i] = result[i] + MDS[i][j] * state[j];\n }\n }\n result\n}\n\n// Full round function: S-box on all elements + MDS\nfn full_round(mut state: [Field; 3], round_constants: [Field; 3]) -> [Field; 3] {\n // Add round constants and apply S-box to all elements\n for i in 0..3 {\n state[i] = sbox(state[i] + round_constants[i]);\n }\n // Apply MDS matrix\n apply_mds(state)\n}\n\n// Partial round function: S-box on first element only + MDS\nfn partial_round(mut state: [Field; 3], round_constants: [Field; 3]) -> [Field; 3] {\n // Add round constants\n for i in 0..3 {\n state[i] = state[i] + round_constants[i];\n }\n // Apply S-box only to first element\n state[0] = sbox(state[0]);\n // Apply MDS matrix\n apply_mds(state)\n}\n\n// Main permutation function\npub fn permute(mut state: [Field; 3]) -> [Field; 3] {\n let r_f = FULL_ROUNDS / 2;\n let r_p = PARTIAL_ROUNDS;\n \n let mut round_idx = 0;\n \n // First half of full rounds\n for _ in 0..r_f {\n state = full_round(state, ROUND_CONSTANTS[round_idx]);\n round_idx = round_idx + 1;\n }\n \n // Partial rounds\n for _ in 0..r_p {\n state = partial_round(state, ROUND_CONSTANTS[round_idx]);\n round_idx = round_idx + 1;\n }\n \n // Second half of full rounds\n for _ in 0..r_f {\n state = full_round(state, ROUND_CONSTANTS[round_idx]);\n round_idx = round_idx + 1;\n }\n \n state\n}\n\n// Sponge construction for constant-length hashing\npub struct PoseidonSponge {\n state: [Field; 3],\n cache: [Field; 2],\n cache_size: u32,\n}\n\nimpl PoseidonSponge {\n // Initialize with initial capacity element for constant-length domain separation\n pub fn new(initial_capacity: Field) -> Self {\n let mut state = [0; 3];\n state[2] = initial_capacity; // Set capacity element at index RATE (2)\n Self {\n state,\n cache: [0; 2],\n cache_size: 0,\n }\n }\n \n // Absorb a field element\n pub fn absorb(&mut self, input: Field) {\n if self.cache_size == RATE {\n // Cache is full, perform duplex round\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // Add to cache\n self.cache[self.cache_size] = input;\n self.cache_size = self.cache_size + 1;\n }\n }\n \n // Perform duplex operation (add cache to state and permute)\n fn perform_duplex(&mut self) {\n // Add cached values to state\n for i in 0..RATE {\n if i < self.cache_size {\n self.state[i] = self.state[i] + self.cache[i];\n }\n }\n // Apply permutation\n self.state = permute(self.state);\n // Clear cache\n self.cache_size = 0;\n }\n \n // Squeeze output\n pub fn squeeze(mut self) -> Field {\n // Final duplex to compress any remaining cached data\n self.perform_duplex();\n // Return first element\n self.state[0]\n }\n}\n\n// Hash function for 2 elements (matching the Rust implementation)\npub fn hash_2(left: Field, right: Field) -> Field {\n // Initial capacity element: (2 << 64) for ConstantLength<2>\n let initial_capacity = 2 * 0x10000000000000000; // 2 * 2^64\n \n let mut sponge = PoseidonSponge::new(initial_capacity);\n sponge.absorb(left);\n sponge.absorb(right);\n sponge.squeeze()\n}\n\n// Generic hash function for N elements\npub fn hash(inputs: [Field; N]) -> Field {\n // Initial capacity element: (N << 64) for ConstantLength\n let initial_capacity = (N as Field) * 0x10000000000000000; // N * 2^64\n \n let mut sponge = PoseidonSponge::new(initial_capacity);\n for i in 0..N {\n sponge.absorb(inputs[i]);\n }\n \n // Add padding (zero padding) to make total absorbed elements a multiple of RATE\n // Calculate how many zeros to add\n let k = (N + RATE - 1) / RATE; // Ceiling division\n let padding_count = k * RATE - N;\n for _ in 0..padding_count {\n sponge.absorb(0);\n }\n \n sponge.squeeze()\n}","path":"/home/alexandre/Documents/repos/zfruit/noir/poseidon_alt/src/poseidon.nr"}},"names":["main"],"brillig_names":[]} \ No newline at end of file +{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"16043421634745477264","abi":{"parameters":[{"name":"owner_pk","type":{"kind":"field"},"visibility":"private"},{"name":"old_address","type":{"kind":"field"},"visibility":"public"},{"name":"new_address","type":{"kind":"field"},"visibility":"public"}],"return_type":null,"error_types":{"8440903874686811520":{"error_kind":"string","string":"New address is not owned by the owner"},"10714477864692412798":{"error_kind":"string","string":"Old address is not owned by the owner"}}},"bytecode":"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","debug_symbols":"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","file_map":{"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"66":{"source":"use common::get_address;\nuse poseidon_alt::hash;\n\nfn main(owner_pk: Field, old_address: pub Field, new_address: pub Field) {\n let calc_new_address = get_address(owner_pk);\n assert(calc_new_address == new_address, \"New address is not owned by the owner\");\n\n let calc_old_address = get_old_address(owner_pk);\n assert(calc_old_address == old_address, \"Old address is not owned by the owner\");\n}\n\nfn get_old_address(owner_pk: Field) -> Field {\n hash([owner_pk, 0])\n}\n\n#[test]\nfn test_main() {\n let pk = 101;\n let new_address = get_address(pk);\n let old_address = get_old_address(pk);\n\n println(new_address);\n println(old_address);\n\n main(pk, old_address, new_address)\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/migrate/src/main.nr"},"69":{"source":"use crate::constants::{FULL_ROUNDS, PARTIAL_ROUNDS, RATE, ROUND_CONSTANTS, MDS};\n\n// S-box function (x^5)\nfn sbox(x: Field) -> Field {\n let x2 = x * x;\n let x4 = x2 * x2;\n x4 * x\n}\n\n// Apply MDS matrix multiplication\nfn apply_mds(state: [Field; 3]) -> [Field; 3] {\n let mut result = [0; 3];\n for i in 0..3 {\n for j in 0..3 {\n result[i] = result[i] + MDS[i][j] * state[j];\n }\n }\n result\n}\n\n// Full round function: S-box on all elements + MDS\nfn full_round(mut state: [Field; 3], round_constants: [Field; 3]) -> [Field; 3] {\n // Add round constants and apply S-box to all elements\n for i in 0..3 {\n state[i] = sbox(state[i] + round_constants[i]);\n }\n // Apply MDS matrix\n apply_mds(state)\n}\n\n// Partial round function: S-box on first element only + MDS\nfn partial_round(mut state: [Field; 3], round_constants: [Field; 3]) -> [Field; 3] {\n // Add round constants\n for i in 0..3 {\n state[i] = state[i] + round_constants[i];\n }\n // Apply S-box only to first element\n state[0] = sbox(state[0]);\n // Apply MDS matrix\n apply_mds(state)\n}\n\n// Main permutation function\npub fn permute(mut state: [Field; 3]) -> [Field; 3] {\n let r_f = FULL_ROUNDS / 2;\n let r_p = PARTIAL_ROUNDS;\n \n let mut round_idx = 0;\n \n // First half of full rounds\n for _ in 0..r_f {\n state = full_round(state, ROUND_CONSTANTS[round_idx]);\n round_idx = round_idx + 1;\n }\n \n // Partial rounds\n for _ in 0..r_p {\n state = partial_round(state, ROUND_CONSTANTS[round_idx]);\n round_idx = round_idx + 1;\n }\n \n // Second half of full rounds\n for _ in 0..r_f {\n state = full_round(state, ROUND_CONSTANTS[round_idx]);\n round_idx = round_idx + 1;\n }\n \n state\n}\n\n// Sponge construction for constant-length hashing\npub struct PoseidonSponge {\n state: [Field; 3],\n cache: [Field; 2],\n cache_size: u32,\n}\n\nimpl PoseidonSponge {\n // Initialize with initial capacity element for constant-length domain separation\n pub fn new(initial_capacity: Field) -> Self {\n let mut state = [0; 3];\n state[2] = initial_capacity; // Set capacity element at index RATE (2)\n Self {\n state,\n cache: [0; 2],\n cache_size: 0,\n }\n }\n \n // Absorb a field element\n pub fn absorb(&mut self, input: Field) {\n if self.cache_size == RATE {\n // Cache is full, perform duplex round\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // Add to cache\n self.cache[self.cache_size] = input;\n self.cache_size = self.cache_size + 1;\n }\n }\n \n // Perform duplex operation (add cache to state and permute)\n fn perform_duplex(&mut self) {\n // Add cached values to state\n for i in 0..RATE {\n if i < self.cache_size {\n self.state[i] = self.state[i] + self.cache[i];\n }\n }\n // Apply permutation\n self.state = permute(self.state);\n // Clear cache\n self.cache_size = 0;\n }\n \n // Squeeze output\n pub fn squeeze(mut self) -> Field {\n // Final duplex to compress any remaining cached data\n self.perform_duplex();\n // Return first element\n self.state[0]\n }\n}\n\n// Hash function for 2 elements (matching the Rust implementation)\npub fn hash_2(left: Field, right: Field) -> Field {\n // Initial capacity element: (2 << 64) for ConstantLength<2>\n let initial_capacity = 2 * 0x10000000000000000; // 2 * 2^64\n \n let mut sponge = PoseidonSponge::new(initial_capacity);\n sponge.absorb(left);\n sponge.absorb(right);\n sponge.squeeze()\n}\n\n// Generic hash function for N elements\npub fn hash(inputs: [Field; N]) -> Field {\n // Initial capacity element: (N << 64) for ConstantLength\n let initial_capacity = (N as Field) * 0x10000000000000000; // N * 2^64\n \n let mut sponge = PoseidonSponge::new(initial_capacity);\n for i in 0..N {\n sponge.absorb(inputs[i]);\n }\n \n // Add padding (zero padding) to make total absorbed elements a multiple of RATE\n // Calculate how many zeros to add\n let k = (N + RATE - 1) / RATE; // Ceiling division\n let padding_count = k * RATE - N;\n for _ in 0..padding_count {\n sponge.absorb(0);\n }\n \n sponge.squeeze()\n}","path":"/home/alexandre/Documents/repos/cachecash/noir/poseidon_alt/src/poseidon.nr"}},"names":["main"],"brillig_names":[]} \ No newline at end of file diff --git a/fixtures/programs/points.json b/fixtures/programs/points.json index b8159fe..e1c365d 100644 --- a/fixtures/programs/points.json +++ b/fixtures/programs/points.json @@ -1 +1 @@ -{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"717926983018916014","abi":{"parameters":[{"name":"notes","type":{"kind":"array","length":10,"type":{"kind":"struct","path":"common::Note","fields":[{"name":"kind","type":{"kind":"field"}},{"name":"value","type":{"kind":"field"}},{"name":"address","type":{"kind":"field"}},{"name":"psi","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"secret_keys","type":{"kind":"array","length":10,"type":{"kind":"field"}},"visibility":"private"},{"name":"address","type":{"kind":"field"},"visibility":"private"},{"name":"timestamp","type":{"kind":"field"},"visibility":"public"},{"name":"value","type":{"kind":"field"},"visibility":"public"},{"name":"hash","type":{"kind":"field"},"visibility":"public"},{"name":"commitments","type":{"kind":"array","length":10,"type":{"kind":"field"}},"visibility":"public"}],"return_type":null,"error_types":{"1714809443410094063":{"error_kind":"string","string":"Padding notes must be zero value"},"3898381286344942305":{"error_kind":"string","string":"Input note is not owned by the owner"},"6661914514907183551":{"error_kind":"string","string":"Note commitment is not valid"},"12506305391274039017":{"error_kind":"string","string":"Invalid value"}}},"bytecode":"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","debug_symbols":"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","file_map":{"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"65":{"source":"use common::{check_commitment, check_input_note_ownership, get_address, InputNote, Note};\nuse poseidon::poseidon2;\n\nfn main(\n notes: [Note; 10],\n secret_keys: [Field; 10],\n address: Field,\n timestamp: pub Field,\n value: pub Field,\n hash: pub Field,\n commitments: pub [Field; 10],\n) {\n let mut notes_value = 0;\n\n for i in 0..10 {\n let note = notes[i];\n let secret_key = secret_keys[i];\n let commitment = commitments[i];\n\n check_commitment(note, commitment);\n check_input_note_ownership(InputNote { note, secret_key });\n\n notes_value += note.value;\n }\n\n assert(value == notes_value, \"Invalid value\");\n assert(poseidon2::Poseidon2::hash([timestamp, address], 2) == hash);\n}\n\n#[test]\nfn test_main() {\n let pk = 101;\n let address = get_address(pk);\n\n // Create 10 notes with the same address\n let mut notes: [Note; 10] = [\n Note { kind: 0, value: 0, address: 0, psi: 0 },\n Note { kind: 1, value: 20, address: address, psi: 2 },\n Note { kind: 1, value: 30, address: address, psi: 3 },\n Note { kind: 1, value: 40, address: address, psi: 4 },\n Note { kind: 1, value: 50, address: address, psi: 5 },\n Note { kind: 1, value: 60, address: address, psi: 6 },\n Note { kind: 1, value: 70, address: address, psi: 7 },\n Note { kind: 1, value: 80, address: address, psi: 8 },\n Note { kind: 1, value: 90, address: address, psi: 9 },\n Note { kind: 1, value: 100, address: address, psi: 10 },\n ];\n\n // Calculate the total value of all notes\n let total_value = 540;\n\n // Create an array of secret keys (all the same in this test)\n let mut secret_keys = [pk; 10];\n secret_keys[0] = 0;\n\n // Calculate commitments for each note\n let mut commitments: [Field; 10] = [0; 10];\n for i in 0..10 {\n commitments[i] = common::get_note_commitment(notes[i]);\n }\n\n // Create timestamp and calculate hash\n let timestamp = 10000000;\n let message_hash = poseidon2::Poseidon2::hash([timestamp, address], 2);\n\n main(\n notes,\n secret_keys,\n address,\n timestamp,\n total_value,\n message_hash,\n commitments,\n )\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/points/src/main.nr"}},"names":["main"],"brillig_names":["directive_invert"]} \ No newline at end of file +{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"717926983018916014","abi":{"parameters":[{"name":"notes","type":{"kind":"array","length":10,"type":{"kind":"struct","path":"common::Note","fields":[{"name":"kind","type":{"kind":"field"}},{"name":"value","type":{"kind":"field"}},{"name":"address","type":{"kind":"field"}},{"name":"psi","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"secret_keys","type":{"kind":"array","length":10,"type":{"kind":"field"}},"visibility":"private"},{"name":"address","type":{"kind":"field"},"visibility":"private"},{"name":"timestamp","type":{"kind":"field"},"visibility":"public"},{"name":"value","type":{"kind":"field"},"visibility":"public"},{"name":"hash","type":{"kind":"field"},"visibility":"public"},{"name":"commitments","type":{"kind":"array","length":10,"type":{"kind":"field"}},"visibility":"public"}],"return_type":null,"error_types":{"1714809443410094063":{"error_kind":"string","string":"Padding notes must be zero value"},"3898381286344942305":{"error_kind":"string","string":"Input note is not owned by the owner"},"6661914514907183551":{"error_kind":"string","string":"Note commitment is not valid"},"12506305391274039017":{"error_kind":"string","string":"Invalid value"}}},"bytecode":"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","debug_symbols":"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","file_map":{"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"65":{"source":"use common::{check_commitment, check_input_note_ownership, get_address, InputNote, Note};\nuse poseidon::poseidon2;\n\nfn main(\n notes: [Note; 10],\n secret_keys: [Field; 10],\n address: Field,\n timestamp: pub Field,\n value: pub Field,\n hash: pub Field,\n commitments: pub [Field; 10],\n) {\n let mut notes_value = 0;\n\n for i in 0..10 {\n let note = notes[i];\n let secret_key = secret_keys[i];\n let commitment = commitments[i];\n\n check_commitment(note, commitment);\n check_input_note_ownership(InputNote { note, secret_key });\n\n notes_value += note.value;\n }\n\n assert(value == notes_value, \"Invalid value\");\n assert(poseidon2::Poseidon2::hash([timestamp, address], 2) == hash);\n}\n\n#[test]\nfn test_main() {\n let pk = 101;\n let address = get_address(pk);\n\n // Create 10 notes with the same address\n let mut notes: [Note; 10] = [\n Note { kind: 0, value: 0, address: 0, psi: 0 },\n Note { kind: 1, value: 20, address: address, psi: 2 },\n Note { kind: 1, value: 30, address: address, psi: 3 },\n Note { kind: 1, value: 40, address: address, psi: 4 },\n Note { kind: 1, value: 50, address: address, psi: 5 },\n Note { kind: 1, value: 60, address: address, psi: 6 },\n Note { kind: 1, value: 70, address: address, psi: 7 },\n Note { kind: 1, value: 80, address: address, psi: 8 },\n Note { kind: 1, value: 90, address: address, psi: 9 },\n Note { kind: 1, value: 100, address: address, psi: 10 },\n ];\n\n // Calculate the total value of all notes\n let total_value = 540;\n\n // Create an array of secret keys (all the same in this test)\n let mut secret_keys = [pk; 10];\n secret_keys[0] = 0;\n\n // Calculate commitments for each note\n let mut commitments: [Field; 10] = [0; 10];\n for i in 0..10 {\n commitments[i] = common::get_note_commitment(notes[i]);\n }\n\n // Create timestamp and calculate hash\n let timestamp = 10000000;\n let message_hash = poseidon2::Poseidon2::hash([timestamp, address], 2);\n\n main(\n notes,\n secret_keys,\n address,\n timestamp,\n total_value,\n message_hash,\n commitments,\n )\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/points/src/main.nr"}},"names":["main"],"brillig_names":["directive_invert"]} \ No newline at end of file diff --git a/fixtures/programs/signature.json b/fixtures/programs/signature.json index a208b3c..8fbb588 100644 --- a/fixtures/programs/signature.json +++ b/fixtures/programs/signature.json @@ -1 +1 @@ -{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"12819922209713552590","abi":{"parameters":[{"name":"owner_pk","type":{"kind":"field"},"visibility":"private"},{"name":"message_hash","type":{"kind":"field"},"visibility":"private"},{"name":"address","type":{"kind":"field"},"visibility":"public"},{"name":"message","type":{"kind":"field"},"visibility":"public"}],"return_type":null,"error_types":{"11080613026690545811":{"error_kind":"string","string":"Address is not owned by the owner"},"14040043062251633219":{"error_kind":"string","string":"Message hash is invalid"}}},"bytecode":"H4sIAAAAAAAA/7WSTQrCMBCF0zatWnUjuPMQ+W0TF1LwJBbTE3gTV17DlWsXegQ9jZjaFEJUFE0fPDJMSHj5JgFoNNZOwLMCsxZmpShjTOVEYYpXiMhScMR4mQksMBd8TQSlSjCRy1LmSGJGFa64pBVqBK270J/qMmf8e07iNupsE23oZL2ZGr6pY1O35+r59LT72gOr3yr0zCD0NyuceJz7J57RlzxT7aH2CDT/v2uegUeeqWee0HlzyzW0+tELNsDqbw+b6WVx2llbD+a1lvP97Fxcj8DRHRcyiSCABAAA","debug_symbols":"pZXNjsIgFIXfhXUXXP7xVSYTgxUNCaENtpNMjO8u1VLtAmLs6pbS7/RyOIQrOtrDeN67cOouaPdzRYfovHfnve9aM7gupLfXW4PycD9Ea9Mr9DafqN5EGwa0C6P3Dfozfnx8dOlNeNTBxDSLG2TDMdUkeHLeTk+35kXjMgqCzjAotuCCrXgo8xL4zEsBC8/JiidlnnIy8wzEi9crnpZ5QpSeBQjFpKTAKg5QnBWAElVS4GUFzbIHmhf5mgdaLR7wbzyQILIHkuKSgqp4IOUSA6mLLuqKAiZ5IwEL/k0P+rUPmhR7qGVZy2wDgVKWKzzR+SBRhotngW4MM7DNaYZKGAHEshGg+FddfJYnkJsDBWrjqaoJfBjJ6jI2Z5Ly7ANVYpWp3zQyrYurGwHhqdkGwbOQZ6GppKWwtB9pxKec3KZfRmcO3s43yWkM7dvFMvz3eSZfPX3sWnsco51++ZhLTdwB","file_map":{"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"64":{"source":"use common::get_address;\nuse poseidon::poseidon2;\n\nfn main(owner_pk: Field, message_hash: Field, address: pub Field, message: pub Field) {\n let owner_address = get_address(owner_pk);\n assert(owner_address == address, \"Address is not owned by the owner\");\n\n let calc_message_hash = poseidon2::Poseidon2::hash([owner_pk, message], 2);\n assert(calc_message_hash == message_hash, \"Message hash is invalid\");\n}\n\n#[test]\nfn test_main() {\n let pk = 101;\n let address = get_address(pk);\n let message = 1000;\n let message_hash = poseidon2::Poseidon2::hash([pk, message], 2);\n\n println(message_hash);\n println(address);\n\n main(pk, message_hash, address, message)\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/signature/src/main.nr"}},"names":["main"],"brillig_names":[]} \ No newline at end of file +{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"12819922209713552590","abi":{"parameters":[{"name":"owner_pk","type":{"kind":"field"},"visibility":"private"},{"name":"message_hash","type":{"kind":"field"},"visibility":"private"},{"name":"address","type":{"kind":"field"},"visibility":"public"},{"name":"message","type":{"kind":"field"},"visibility":"public"}],"return_type":null,"error_types":{"11080613026690545811":{"error_kind":"string","string":"Address is not owned by the owner"},"14040043062251633219":{"error_kind":"string","string":"Message hash is invalid"}}},"bytecode":"H4sIAAAAAAAA/7WSTQrCMBCF0zatWnUjuPMQ+W0TF1LwJBbTE3gTV17DlWsXegQ9jZjaFEJUFE0fPDJMSHj5JgFoNNZOwLMCsxZmpShjTOVEYYpXiMhScMR4mQksMBd8TQSlSjCRy1LmSGJGFa64pBVqBK270J/qMmf8e07iNupsE23oZL2ZGr6pY1O35+r59LT72gOr3yr0zCD0NyuceJz7J57RlzxT7aH2CDT/v2uegUeeqWee0HlzyzW0+tELNsDqbw+b6WVx2llbD+a1lvP97Fxcj8DRHRcyiSCABAAA","debug_symbols":"pZXNjsIgFIXfhXUXXP7xVSYTgxUNCaENtpNMjO8u1VLtAmLs6pbS7/RyOIQrOtrDeN67cOouaPdzRYfovHfnve9aM7gupLfXW4PycD9Ea9Mr9DafqN5EGwa0C6P3Dfozfnx8dOlNeNTBxDSLG2TDMdUkeHLeTk+35kXjMgqCzjAotuCCrXgo8xL4zEsBC8/JiidlnnIy8wzEi9crnpZ5QpSeBQjFpKTAKg5QnBWAElVS4GUFzbIHmhf5mgdaLR7wbzyQILIHkuKSgqp4IOUSA6mLLuqKAiZ5IwEL/k0P+rUPmhR7qGVZy2wDgVKWKzzR+SBRhotngW4MM7DNaYZKGAHEshGg+FddfJYnkJsDBWrjqaoJfBjJ6jI2Z5Ly7ANVYpWp3zQyrYurGwHhqdkGwbOQZ6GppKWwtB9pxKec3KZfRmcO3s43yWkM7dvFMvz3eSZfPX3sWnsco51++ZhLTdwB","file_map":{"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"64":{"source":"use common::get_address;\nuse poseidon::poseidon2;\n\nfn main(owner_pk: Field, message_hash: Field, address: pub Field, message: pub Field) {\n let owner_address = get_address(owner_pk);\n assert(owner_address == address, \"Address is not owned by the owner\");\n\n let calc_message_hash = poseidon2::Poseidon2::hash([owner_pk, message], 2);\n assert(calc_message_hash == message_hash, \"Message hash is invalid\");\n}\n\n#[test]\nfn test_main() {\n let pk = 101;\n let address = get_address(pk);\n let message = 1000;\n let message_hash = poseidon2::Poseidon2::hash([pk, message], 2);\n\n println(message_hash);\n println(address);\n\n main(pk, message_hash, address, message)\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/signature/src/main.nr"}},"names":["main"],"brillig_names":[]} \ No newline at end of file diff --git a/fixtures/programs/utxo.json b/fixtures/programs/utxo.json index 7c1beed..e668734 100644 --- a/fixtures/programs/utxo.json +++ b/fixtures/programs/utxo.json @@ -1 +1 @@ -{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"864495292192982944","abi":{"parameters":[{"name":"input_notes","type":{"kind":"array","length":2,"type":{"kind":"struct","path":"common::InputNote","fields":[{"name":"note","type":{"kind":"struct","path":"common::Note","fields":[{"name":"kind","type":{"kind":"field"}},{"name":"value","type":{"kind":"field"}},{"name":"address","type":{"kind":"field"}},{"name":"psi","type":{"kind":"field"}}]}},{"name":"secret_key","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"output_notes","type":{"kind":"array","length":2,"type":{"kind":"struct","path":"common::Note","fields":[{"name":"kind","type":{"kind":"field"}},{"name":"value","type":{"kind":"field"}},{"name":"address","type":{"kind":"field"}},{"name":"psi","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"pmessage4","type":{"kind":"field"},"visibility":"private"},{"name":"commitments","type":{"kind":"array","length":4,"type":{"kind":"field"}},"visibility":"public"},{"name":"messages","type":{"kind":"array","length":5,"type":{"kind":"field"}},"visibility":"public"}],"return_type":null,"error_types":{"1714809443410094063":{"error_kind":"string","string":"Padding notes must be zero value"},"3898381286344942305":{"error_kind":"string","string":"Input note is not owned by the owner"},"5851673573934815162":{"error_kind":"string","string":"Mint note kind must match message"},"6485997221020871071":{"error_kind":"string","string":"call to assert_max_bit_size"},"6661914514907183551":{"error_kind":"string","string":"Note commitment is not valid"},"9733062431596745772":{"error_kind":"string","string":"Input and output totals do not match"},"10443210886677245255":{"error_kind":"string","string":"Burn note kind must match message"},"12775174927910757886":{"error_kind":"string","string":"Inconsistent kinds are not allowed"},"12948852497587922262":{"error_kind":"string","string":"messages[4] must match private input"},"14672809696058342244":{"error_kind":"string","string":"Burn output must match value message"},"15138347411163958997":{"error_kind":"string","string":"Mint hash must match message"},"15819538689241197369":{"error_kind":"string","string":"Invalid kind"},"17828285616048074783":{"error_kind":"string","string":"Mint output must match value message"},"18075917454431129723":{"error_kind":"string","string":"Burn hash must match message"}}},"bytecode":"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","debug_symbols":"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","file_map":{"18":{"source":"pub mod bn254;\nuse crate::{runtime::is_unconstrained, static_assert};\nuse bn254::lt as bn254_lt;\n\nimpl Field {\n /// Asserts that `self` can be represented in `bit_size` bits.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^{bit_size}`.\n // docs:start:assert_max_bit_size\n pub fn assert_max_bit_size(self) {\n // docs:end:assert_max_bit_size\n static_assert(\n BIT_SIZE < modulus_num_bits() as u32,\n \"BIT_SIZE must be less than modulus_num_bits\",\n );\n __assert_max_bit_size(self, BIT_SIZE);\n }\n\n /// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n /// This slice will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_le_bits\n pub fn to_le_bits(self: Self) -> [u1; N] {\n // docs:end:to_le_bits\n let bits = __to_le_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[N - 1 - i] != p[N - 1 - i]) {\n assert(p[N - 1 - i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n /// This array will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_be_bits\n pub fn to_be_bits(self: Self) -> [u1; N] {\n // docs:end:to_be_bits\n let bits = __to_be_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the decomposition does not overflow the modulus\n let p = modulus_be_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[i] != p[i]) {\n assert(p[i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its little endian byte decomposition as a `[u8;N]` array\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_le_bytes\n pub fn to_le_bytes(self: Self) -> [u8; N] {\n // docs:end:to_le_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_le_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[N - 1 - i] != p[N - 1 - i]) {\n assert(bytes[N - 1 - i] < p[N - 1 - i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n /// Decomposes `self` into its big endian byte decomposition as a `[u8;N]` array of length required to represent the field modulus\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_be_bytes\n pub fn to_be_bytes(self: Self) -> [u8; N] {\n // docs:end:to_be_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_be_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_be_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[i] != p[i]) {\n assert(bytes[i] < p[i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n fn to_le_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_le_radix(self, radix)\n }\n\n fn to_be_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_be_radix(self, radix)\n }\n\n // Returns self to the power of the given exponent value.\n // Caution: we assume the exponent fits into 32 bits\n // using a bigger bit size impacts negatively the performance and should be done only if the exponent does not fit in 32 bits\n pub fn pow_32(self, exponent: Field) -> Field {\n let mut r: Field = 1;\n let b: [u1; 32] = exponent.to_le_bits();\n\n for i in 1..33 {\n r *= r;\n r = (b[32 - i] as Field) * (r * self) + (1 - b[32 - i] as Field) * r;\n }\n r\n }\n\n // Parity of (prime) Field element, i.e. sgn0(x mod p) = 0 if x `elem` {0, ..., p-1} is even, otherwise sgn0(x mod p) = 1.\n pub fn sgn0(self) -> u1 {\n self as u1\n }\n\n pub fn lt(self, another: Field) -> bool {\n if crate::compat::is_bn254() {\n bn254_lt(self, another)\n } else {\n lt_fallback(self, another)\n }\n }\n\n /// Convert a little endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_le_bytes(bytes: [u8; N]) -> Field {\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[i] as Field) * v;\n v = v * 256;\n }\n result\n }\n\n /// Convert a big endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_be_bytes(bytes: [u8; N]) -> Field {\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[N - 1 - i] as Field) * v;\n v = v * 256;\n }\n result\n }\n}\n\n#[builtin(apply_range_constraint)]\nfn __assert_max_bit_size(value: Field, bit_size: u32) {}\n\n// `_radix` must be less than 256\n#[builtin(to_le_radix)]\nfn __to_le_radix(value: Field, radix: u32) -> [u8; N] {}\n\n// `_radix` must be less than 256\n#[builtin(to_be_radix)]\nfn __to_be_radix(value: Field, radix: u32) -> [u8; N] {}\n\n/// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n/// This slice will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_le_bits)]\nfn __to_le_bits(value: Field) -> [u1; N] {}\n\n/// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n/// This array will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_be_bits)]\nfn __to_be_bits(value: Field) -> [u1; N] {}\n\n#[builtin(modulus_num_bits)]\npub comptime fn modulus_num_bits() -> u64 {}\n\n#[builtin(modulus_be_bits)]\npub comptime fn modulus_be_bits() -> [u1] {}\n\n#[builtin(modulus_le_bits)]\npub comptime fn modulus_le_bits() -> [u1] {}\n\n#[builtin(modulus_be_bytes)]\npub comptime fn modulus_be_bytes() -> [u8] {}\n\n#[builtin(modulus_le_bytes)]\npub comptime fn modulus_le_bytes() -> [u8] {}\n\n/// An unconstrained only built in to efficiently compare fields.\n#[builtin(field_less_than)]\nunconstrained fn __field_less_than(x: Field, y: Field) -> bool {}\n\npub(crate) unconstrained fn field_less_than(x: Field, y: Field) -> bool {\n __field_less_than(x, y)\n}\n\n// Convert a 32 byte array to a field element by modding\npub fn bytes32_to_field(bytes32: [u8; 32]) -> Field {\n // Convert it to a field element\n let mut v = 1;\n let mut high = 0 as Field;\n let mut low = 0 as Field;\n\n for i in 0..16 {\n high = high + (bytes32[15 - i] as Field) * v;\n low = low + (bytes32[16 + 15 - i] as Field) * v;\n v = v * 256;\n }\n // Abuse that a % p + b % p = (a + b) % p and that low < p\n low + high * v\n}\n\nfn lt_fallback(x: Field, y: Field) -> bool {\n if is_unconstrained() {\n // Safety: unconstrained context\n unsafe {\n field_less_than(x, y)\n }\n } else {\n let x_bytes: [u8; 32] = x.to_le_bytes();\n let y_bytes: [u8; 32] = y.to_le_bytes();\n let mut x_is_lt = false;\n let mut done = false;\n for i in 0..32 {\n if (!done) {\n let x_byte = x_bytes[32 - 1 - i] as u8;\n let y_byte = y_bytes[32 - 1 - i] as u8;\n let bytes_match = x_byte == y_byte;\n if !bytes_match {\n x_is_lt = x_byte < y_byte;\n done = true;\n }\n }\n }\n x_is_lt\n }\n}\n\nmod tests {\n use crate::{panic::panic, runtime};\n use super::field_less_than;\n\n #[test]\n // docs:start:to_be_bits_example\n fn test_to_be_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_be_bits();\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 1, 0]);\n }\n // docs:end:to_be_bits_example\n\n #[test]\n // docs:start:to_le_bits_example\n fn test_to_le_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_le_bits();\n assert_eq(bits, [0, 1, 0, 0, 0, 0, 0, 0]);\n }\n // docs:end:to_le_bits_example\n\n #[test]\n // docs:start:to_be_bytes_example\n fn test_to_be_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_be_bytes();\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_bytes_example\n\n #[test]\n // docs:start:to_le_bytes_example\n fn test_to_le_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_le_bytes();\n assert_eq(bytes, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_bytes_example\n\n #[test]\n // docs:start:to_be_radix_example\n fn test_to_be_radix() {\n // 259, in base 256, big endian, is [1, 3].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_be_radix(256);\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 1, 3]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_radix_example\n\n #[test]\n // docs:start:to_le_radix_example\n fn test_to_le_radix() {\n // 259, in base 256, little endian, is [3, 1].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_le_radix(256);\n assert_eq(bytes, [3, 1, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_radix_example\n\n #[test(should_fail_with = \"radix must be greater than 1\")]\n fn test_to_le_radix_1() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(1);\n } else {\n panic(f\"radix must be greater than 1\");\n }\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be greater than 2\n //#[test]\n //fn test_to_le_radix_brillig_1() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(1);\n // crate::println(out);\n // let expected = [0; 8];\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test(should_fail_with = \"radix must be a power of 2\")]\n fn test_to_le_radix_3() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(3);\n } else {\n panic(f\"radix must be a power of 2\");\n }\n }\n\n #[test]\n fn test_to_le_radix_brillig_3() {\n // this test should only fail in constrained mode\n if runtime::is_unconstrained() {\n let field = 1;\n let out: [u8; 8] = field.to_le_radix(3);\n let mut expected = [0; 8];\n expected[0] = 1;\n assert(out == expected, \"unexpected result\");\n }\n }\n\n #[test(should_fail_with = \"radix must be less than or equal to 256\")]\n fn test_to_le_radix_512() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(512);\n } else {\n panic(f\"radix must be less than or equal to 256\")\n }\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n unconstrained fn not_enough_limbs_brillig() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n fn not_enough_limbs() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be less than 512\n //#[test]\n //fn test_to_le_radix_brillig_512() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(512);\n // let mut expected = [0; 8];\n // expected[0] = 1;\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test]\n unconstrained fn test_field_less_than() {\n assert(field_less_than(0, 1));\n assert(field_less_than(0, 0x100));\n assert(field_less_than(0x100, 0 - 1));\n assert(!field_less_than(0 - 1, 0));\n }\n}\n","path":"std/field/mod.nr"},"50":{"source":"use common::{InputNote, Note};\nuse utxo_lib::utxo_main;\n\nfn main(\n input_notes: [InputNote; 2],\n output_notes: [Note; 2],\n pmessage4: Field,\n commitments: pub [Field; 4],\n messages: pub [Field; 5],\n) {\n utxo_main(\n input_notes,\n output_notes,\n pmessage4,\n commitments,\n messages,\n );\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/utxo/src/main.nr"},"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"61":{"source":"use common::{\n check_commitment, check_input_note_ownership, get_address, get_note_commitment, InputNote, Note,\n};\nuse poseidon::poseidon2;\n\npub fn utxo_main(\n input_notes: [InputNote; 2],\n output_notes: [Note; 2],\n pmessage4: Field,\n commitments: [Field; 4],\n messages: [Field; 5],\n) {\n // Check the commitments\n check_commitment(input_notes[0].note, commitments[0]);\n check_commitment(input_notes[1].note, commitments[1]);\n check_commitment(output_notes[0], commitments[2]);\n check_commitment(output_notes[1], commitments[3]);\n\n // Check individual outputs are not greater than 240 bits\n output_notes[0].value.assert_max_bit_size::<240>();\n output_notes[1].value.assert_max_bit_size::<240>();\n\n let input_value = input_notes[0].note.value + input_notes[1].note.value;\n\n let output_value = output_notes[0].value + output_notes[1].value;\n\n // Check for multiple kinds, not currently supported in this proof\n let (is_multiple_kinds, _note_kind) = is_multiple_kinds([\n input_notes[0].note,\n input_notes[1].note,\n output_notes[0],\n output_notes[1],\n ]);\n assert(!is_multiple_kinds, \"Inconsistent kinds are not allowed\");\n\n // Kind of UTXO txn\n let kind = messages[0];\n\n // Messages (only for mint/burns, otherwise all zeros)\n let msg_note_kind = messages[1];\n let msg_value = messages[2];\n\n // Assert message value size is max 240 bits to prevent overflow attack\n msg_value.assert_max_bit_size::<240>();\n\n let msg_hash = messages[3];\n let burn_addr = messages[4];\n\n let mint_hash = poseidon2::Poseidon2::hash([output_notes[0].psi, output_notes[1].psi], 2);\n\n let burn_hash = commitments[0];\n\n if (kind == 1) {\n assert(input_value == output_value, \"Input and output totals do not match\");\n } else if (kind == 2) {\n assert(output_value == input_value + msg_value, \"Mint output must match value message\");\n assert(mint_hash == msg_hash, \"Mint hash must match message\");\n assert(output_notes[0].kind == msg_note_kind, \"Mint note kind must match message\")\n } else if (kind == 3) {\n assert(pmessage4 == burn_addr, \"messages[4] must match private input\");\n assert(burn_hash == msg_hash, \"Burn hash must match message\");\n assert(input_value == output_value + msg_value, \"Burn output must match value message\");\n assert(input_notes[0].note.kind == msg_note_kind, \"Burn note kind must match message\")\n } else {\n assert(false, \"Invalid kind\");\n }\n\n // Check the user owns the input notes\n check_input_note_ownership(input_notes[0]);\n check_input_note_ownership(input_notes[1]);\n}\n\nfn is_multiple_kinds(notes: [Note; 4]) -> (bool, Field) {\n let mut first_non_zero_kind = 0;\n let mut is_multiple_kinds = false;\n\n for i in 0..4 {\n if !is_multiple_kinds {\n if notes[i].kind != 0 {\n if first_non_zero_kind == 0 {\n first_non_zero_kind = notes[i].kind;\n } else if first_non_zero_kind != notes[i].kind {\n is_multiple_kinds = true;\n }\n }\n }\n }\n\n (is_multiple_kinds, first_non_zero_kind)\n}\n\nfn bridged_note_kind() -> Field {\n 3533694129556768672311144317398675444585744224105014452550528428861358080\n}\n\n#[test]\nfn test_send_two_inputs_two_outputs() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 1, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 14, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_send_one_input_two_outputs() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 1, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 9, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_send_two_inputs_one_output() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: 0, value: 0, address, psi: 0 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test(should_fail)]\nfn test_send_diff_kinds() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: 2, value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: 2, value: 5, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_mint() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 30, address, psi: 3 };\n\n let commitments = [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ];\n\n let mint_hash = poseidon2::Poseidon2::hash([note_3.psi, note_4.psi], 2);\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n commitments,\n [2, bridged_note_kind(), 10, mint_hash, 0],\n )\n}\n\n#[test]\nfn test_burn() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: 0, value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 10, address, psi: 3 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [3, bridged_note_kind(), 10, get_note_commitment(note_1), 0],\n )\n}\n\n#[test]\nfn test_send_zero_value() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 0, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 0, address, psi: 3 };\n let note_4 = Note { kind: 0, value: 0, address, psi: 0 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_mint_with_padding_input() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 5, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 0, address: 0, psi: 0 };\n\n let commitments = [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ];\n\n let mint_hash = poseidon2::Poseidon2::hash([note_3.psi, note_4.psi], 2);\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n commitments,\n [2, bridged_note_kind(), 10, mint_hash, 0],\n )\n}\n\n#[test]\nfn test_burn_single_input() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: 0, value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 5, address, psi: 3 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [3, bridged_note_kind(), 10, get_note_commitment(note_1), 0],\n )\n}\n","path":"/home/alexandre/Documents/repos/zfruit/noir/utxo_lib/src/lib.nr"}},"names":["main"],"brillig_names":["directive_invert"]} \ No newline at end of file +{"noir_version":"1.0.0-beta.12+9a5b3695b42e391fa27c48e87b9bbb07523d664d","hash":"864495292192982944","abi":{"parameters":[{"name":"input_notes","type":{"kind":"array","length":2,"type":{"kind":"struct","path":"common::InputNote","fields":[{"name":"note","type":{"kind":"struct","path":"common::Note","fields":[{"name":"kind","type":{"kind":"field"}},{"name":"value","type":{"kind":"field"}},{"name":"address","type":{"kind":"field"}},{"name":"psi","type":{"kind":"field"}}]}},{"name":"secret_key","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"output_notes","type":{"kind":"array","length":2,"type":{"kind":"struct","path":"common::Note","fields":[{"name":"kind","type":{"kind":"field"}},{"name":"value","type":{"kind":"field"}},{"name":"address","type":{"kind":"field"}},{"name":"psi","type":{"kind":"field"}}]}},"visibility":"private"},{"name":"pmessage4","type":{"kind":"field"},"visibility":"private"},{"name":"commitments","type":{"kind":"array","length":4,"type":{"kind":"field"}},"visibility":"public"},{"name":"messages","type":{"kind":"array","length":5,"type":{"kind":"field"}},"visibility":"public"}],"return_type":null,"error_types":{"1714809443410094063":{"error_kind":"string","string":"Padding notes must be zero value"},"3898381286344942305":{"error_kind":"string","string":"Input note is not owned by the owner"},"5851673573934815162":{"error_kind":"string","string":"Mint note kind must match message"},"6485997221020871071":{"error_kind":"string","string":"call to assert_max_bit_size"},"6661914514907183551":{"error_kind":"string","string":"Note commitment is not valid"},"9733062431596745772":{"error_kind":"string","string":"Input and output totals do not match"},"10443210886677245255":{"error_kind":"string","string":"Burn note kind must match message"},"12775174927910757886":{"error_kind":"string","string":"Inconsistent kinds are not allowed"},"12948852497587922262":{"error_kind":"string","string":"messages[4] must match private input"},"14672809696058342244":{"error_kind":"string","string":"Burn output must match value message"},"15138347411163958997":{"error_kind":"string","string":"Mint hash must match message"},"15819538689241197369":{"error_kind":"string","string":"Invalid kind"},"17828285616048074783":{"error_kind":"string","string":"Mint output must match value message"},"18075917454431129723":{"error_kind":"string","string":"Burn hash must match 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mod bn254;\nuse crate::{runtime::is_unconstrained, static_assert};\nuse bn254::lt as bn254_lt;\n\nimpl Field {\n /// Asserts that `self` can be represented in `bit_size` bits.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^{bit_size}`.\n // docs:start:assert_max_bit_size\n pub fn assert_max_bit_size(self) {\n // docs:end:assert_max_bit_size\n static_assert(\n BIT_SIZE < modulus_num_bits() as u32,\n \"BIT_SIZE must be less than modulus_num_bits\",\n );\n __assert_max_bit_size(self, BIT_SIZE);\n }\n\n /// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n /// This slice will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_le_bits\n pub fn to_le_bits(self: Self) -> [u1; N] {\n // docs:end:to_le_bits\n let bits = __to_le_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[N - 1 - i] != p[N - 1 - i]) {\n assert(p[N - 1 - i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n /// This array will be zero padded should not all bits be necessary to represent `self`.\n ///\n /// # Failures\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n /// be able to represent the original `Field`.\n ///\n /// # Safety\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\n // docs:start:to_be_bits\n pub fn to_be_bits(self: Self) -> [u1; N] {\n // docs:end:to_be_bits\n let bits = __to_be_bits(self);\n\n if !is_unconstrained() {\n // Ensure that the decomposition does not overflow the modulus\n let p = modulus_be_bits();\n assert(bits.len() <= p.len());\n let mut ok = bits.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bits[i] != p[i]) {\n assert(p[i] == 1);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bits\n }\n\n /// Decomposes `self` into its little endian byte decomposition as a `[u8;N]` array\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_le_bytes\n pub fn to_le_bytes(self: Self) -> [u8; N] {\n // docs:end:to_le_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_le_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_le_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[N - 1 - i] != p[N - 1 - i]) {\n assert(bytes[N - 1 - i] < p[N - 1 - i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n /// Decomposes `self` into its big endian byte decomposition as a `[u8;N]` array of length required to represent the field modulus\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\n ///\n /// # Failures\n /// The length N of the array must be big enough to contain all the bytes of the 'self',\n /// and no more than the number of bytes required to represent the field modulus\n ///\n /// # Safety\n /// The result is ensured to be the canonical decomposition of the field element\n // docs:start:to_be_bytes\n pub fn to_be_bytes(self: Self) -> [u8; N] {\n // docs:end:to_be_bytes\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n // Compute the byte decomposition\n let bytes = self.to_be_radix(256);\n\n if !is_unconstrained() {\n // Ensure that the byte decomposition does not overflow the modulus\n let p = modulus_be_bytes();\n assert(bytes.len() <= p.len());\n let mut ok = bytes.len() != p.len();\n for i in 0..N {\n if !ok {\n if (bytes[i] != p[i]) {\n assert(bytes[i] < p[i]);\n ok = true;\n }\n }\n }\n assert(ok);\n }\n bytes\n }\n\n fn to_le_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_le_radix(self, radix)\n }\n\n fn to_be_radix(self: Self, radix: u32) -> [u8; N] {\n // Brillig does not need an immediate radix\n if !crate::runtime::is_unconstrained() {\n static_assert(1 < radix, \"radix must be greater than 1\");\n static_assert(radix <= 256, \"radix must be less than or equal to 256\");\n static_assert(radix & (radix - 1) == 0, \"radix must be a power of 2\");\n }\n __to_be_radix(self, radix)\n }\n\n // Returns self to the power of the given exponent value.\n // Caution: we assume the exponent fits into 32 bits\n // using a bigger bit size impacts negatively the performance and should be done only if the exponent does not fit in 32 bits\n pub fn pow_32(self, exponent: Field) -> Field {\n let mut r: Field = 1;\n let b: [u1; 32] = exponent.to_le_bits();\n\n for i in 1..33 {\n r *= r;\n r = (b[32 - i] as Field) * (r * self) + (1 - b[32 - i] as Field) * r;\n }\n r\n }\n\n // Parity of (prime) Field element, i.e. sgn0(x mod p) = 0 if x `elem` {0, ..., p-1} is even, otherwise sgn0(x mod p) = 1.\n pub fn sgn0(self) -> u1 {\n self as u1\n }\n\n pub fn lt(self, another: Field) -> bool {\n if crate::compat::is_bn254() {\n bn254_lt(self, another)\n } else {\n lt_fallback(self, another)\n }\n }\n\n /// Convert a little endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_le_bytes(bytes: [u8; N]) -> Field {\n static_assert(\n N <= modulus_le_bytes().len(),\n \"N must be less than or equal to modulus_le_bytes().len()\",\n );\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[i] as Field) * v;\n v = v * 256;\n }\n result\n }\n\n /// Convert a big endian byte array to a field element.\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\n pub fn from_be_bytes(bytes: [u8; N]) -> Field {\n let mut v = 1;\n let mut result = 0;\n\n for i in 0..N {\n result += (bytes[N - 1 - i] as Field) * v;\n v = v * 256;\n }\n result\n }\n}\n\n#[builtin(apply_range_constraint)]\nfn __assert_max_bit_size(value: Field, bit_size: u32) {}\n\n// `_radix` must be less than 256\n#[builtin(to_le_radix)]\nfn __to_le_radix(value: Field, radix: u32) -> [u8; N] {}\n\n// `_radix` must be less than 256\n#[builtin(to_be_radix)]\nfn __to_be_radix(value: Field, radix: u32) -> [u8; N] {}\n\n/// Decomposes `self` into its little endian bit decomposition as a `[u1; N]` array.\n/// This slice will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_le_bits)]\nfn __to_le_bits(value: Field) -> [u1; N] {}\n\n/// Decomposes `self` into its big endian bit decomposition as a `[u1; N]` array.\n/// This array will be zero padded should not all bits be necessary to represent `self`.\n///\n/// # Failures\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting slice will not\n/// be able to represent the original `Field`.\n///\n/// # Safety\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\n/// wrap around due to overflow when verifying the decomposition.\n#[builtin(to_be_bits)]\nfn __to_be_bits(value: Field) -> [u1; N] {}\n\n#[builtin(modulus_num_bits)]\npub comptime fn modulus_num_bits() -> u64 {}\n\n#[builtin(modulus_be_bits)]\npub comptime fn modulus_be_bits() -> [u1] {}\n\n#[builtin(modulus_le_bits)]\npub comptime fn modulus_le_bits() -> [u1] {}\n\n#[builtin(modulus_be_bytes)]\npub comptime fn modulus_be_bytes() -> [u8] {}\n\n#[builtin(modulus_le_bytes)]\npub comptime fn modulus_le_bytes() -> [u8] {}\n\n/// An unconstrained only built in to efficiently compare fields.\n#[builtin(field_less_than)]\nunconstrained fn __field_less_than(x: Field, y: Field) -> bool {}\n\npub(crate) unconstrained fn field_less_than(x: Field, y: Field) -> bool {\n __field_less_than(x, y)\n}\n\n// Convert a 32 byte array to a field element by modding\npub fn bytes32_to_field(bytes32: [u8; 32]) -> Field {\n // Convert it to a field element\n let mut v = 1;\n let mut high = 0 as Field;\n let mut low = 0 as Field;\n\n for i in 0..16 {\n high = high + (bytes32[15 - i] as Field) * v;\n low = low + (bytes32[16 + 15 - i] as Field) * v;\n v = v * 256;\n }\n // Abuse that a % p + b % p = (a + b) % p and that low < p\n low + high * v\n}\n\nfn lt_fallback(x: Field, y: Field) -> bool {\n if is_unconstrained() {\n // Safety: unconstrained context\n unsafe {\n field_less_than(x, y)\n }\n } else {\n let x_bytes: [u8; 32] = x.to_le_bytes();\n let y_bytes: [u8; 32] = y.to_le_bytes();\n let mut x_is_lt = false;\n let mut done = false;\n for i in 0..32 {\n if (!done) {\n let x_byte = x_bytes[32 - 1 - i] as u8;\n let y_byte = y_bytes[32 - 1 - i] as u8;\n let bytes_match = x_byte == y_byte;\n if !bytes_match {\n x_is_lt = x_byte < y_byte;\n done = true;\n }\n }\n }\n x_is_lt\n }\n}\n\nmod tests {\n use crate::{panic::panic, runtime};\n use super::field_less_than;\n\n #[test]\n // docs:start:to_be_bits_example\n fn test_to_be_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_be_bits();\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 1, 0]);\n }\n // docs:end:to_be_bits_example\n\n #[test]\n // docs:start:to_le_bits_example\n fn test_to_le_bits() {\n let field = 2;\n let bits: [u1; 8] = field.to_le_bits();\n assert_eq(bits, [0, 1, 0, 0, 0, 0, 0, 0]);\n }\n // docs:end:to_le_bits_example\n\n #[test]\n // docs:start:to_be_bytes_example\n fn test_to_be_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_be_bytes();\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_bytes_example\n\n #[test]\n // docs:start:to_le_bytes_example\n fn test_to_le_bytes() {\n let field = 2;\n let bytes: [u8; 8] = field.to_le_bytes();\n assert_eq(bytes, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_bytes_example\n\n #[test]\n // docs:start:to_be_radix_example\n fn test_to_be_radix() {\n // 259, in base 256, big endian, is [1, 3].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_be_radix(256);\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 1, 3]);\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\n }\n // docs:end:to_be_radix_example\n\n #[test]\n // docs:start:to_le_radix_example\n fn test_to_le_radix() {\n // 259, in base 256, little endian, is [3, 1].\n // i.e. 3 * 256^0 + 1 * 256^1\n let field = 259;\n\n // The radix (in this example, 256) must be a power of 2.\n // The length of the returned byte array can be specified to be\n // >= the amount of space needed.\n let bytes: [u8; 8] = field.to_le_radix(256);\n assert_eq(bytes, [3, 1, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\n }\n // docs:end:to_le_radix_example\n\n #[test(should_fail_with = \"radix must be greater than 1\")]\n fn test_to_le_radix_1() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(1);\n } else {\n panic(f\"radix must be greater than 1\");\n }\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be greater than 2\n //#[test]\n //fn test_to_le_radix_brillig_1() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(1);\n // crate::println(out);\n // let expected = [0; 8];\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test(should_fail_with = \"radix must be a power of 2\")]\n fn test_to_le_radix_3() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(3);\n } else {\n panic(f\"radix must be a power of 2\");\n }\n }\n\n #[test]\n fn test_to_le_radix_brillig_3() {\n // this test should only fail in constrained mode\n if runtime::is_unconstrained() {\n let field = 1;\n let out: [u8; 8] = field.to_le_radix(3);\n let mut expected = [0; 8];\n expected[0] = 1;\n assert(out == expected, \"unexpected result\");\n }\n }\n\n #[test(should_fail_with = \"radix must be less than or equal to 256\")]\n fn test_to_le_radix_512() {\n // this test should only fail in constrained mode\n if !runtime::is_unconstrained() {\n let field = 2;\n let _: [u8; 8] = field.to_le_radix(512);\n } else {\n panic(f\"radix must be less than or equal to 256\")\n }\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n unconstrained fn not_enough_limbs_brillig() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n #[test(should_fail_with = \"Field failed to decompose into specified 16 limbs\")]\n fn not_enough_limbs() {\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\n }\n\n // TODO: Update this test to account for the Brillig restriction that the radix must be less than 512\n //#[test]\n //fn test_to_le_radix_brillig_512() {\n // // this test should only fail in constrained mode\n // if runtime::is_unconstrained() {\n // let field = 1;\n // let out: [u8; 8] = field.to_le_radix(512);\n // let mut expected = [0; 8];\n // expected[0] = 1;\n // assert(out == expected, \"unexpected result\");\n // }\n //}\n\n #[test]\n unconstrained fn test_field_less_than() {\n assert(field_less_than(0, 1));\n assert(field_less_than(0, 0x100));\n assert(field_less_than(0x100, 0 - 1));\n assert(!field_less_than(0 - 1, 0));\n }\n}\n","path":"std/field/mod.nr"},"50":{"source":"use common::{InputNote, Note};\nuse utxo_lib::utxo_main;\n\nfn main(\n input_notes: [InputNote; 2],\n output_notes: [Note; 2],\n pmessage4: Field,\n commitments: pub [Field; 4],\n messages: pub [Field; 5],\n) {\n utxo_main(\n input_notes,\n output_notes,\n pmessage4,\n commitments,\n messages,\n );\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/utxo/src/main.nr"},"52":{"source":"use poseidon::poseidon2;\n\npub struct Note {\n pub kind: Field,\n pub value: Field,\n pub address: Field,\n pub psi: Field,\n}\n\npub struct InputNote {\n pub note: Note,\n pub secret_key: Field,\n}\n\npub fn check_commitment(note: Note, commitment: Field) {\n assert(get_note_commitment(note) == commitment, \"Note commitment is not valid\");\n}\n\npub fn get_note_commitment(note: Note) -> Field {\n if (note.kind == 0) {\n assert(note.value == 0, \"Padding notes must be zero value\");\n 0\n } else {\n poseidon2::Poseidon2::hash(\n [0x2, note.kind, note.value, note.address, note.psi, 0, 0],\n 7,\n )\n }\n}\n\npub fn get_address(secret_key: Field) -> Field {\n poseidon2::Poseidon2::hash([secret_key, 0], 2)\n}\n\npub fn check_input_note_ownership(input_note: InputNote) {\n if (input_note.note.value != 0) {\n assert(\n get_address(input_note.secret_key) == input_note.note.address,\n \"Input note is not owned by the owner\",\n );\n }\n}\n\npub fn slice(bytes: [u8; N], start: u32) -> [u8; L] {\n let end = start + L;\n assert(end <= N, \"slice: slice end out of bounds\");\n let mut result = [bytes[0]; L];\n for i in 0..L {\n result[i] = bytes[start + i];\n }\n result\n}\n\npub fn field_from_bytes(bytes: [u8; N]) -> Field {\n assert(bytes.len() < 32, \"field_from_bytes: N must be less than 32\");\n let mut as_field = 0;\n let mut offset = 1;\n for i in 0..N {\n as_field += (bytes[i] as Field) * offset;\n offset *= 256;\n }\n as_field\n}\n\npub fn is_one_of(value: Field, one_of: [Field]) -> bool {\n let mut is_one_of = false;\n for possible in one_of {\n if possible == value {\n is_one_of = true;\n }\n }\n is_one_of\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/common/src/lib.nr"},"59":{"source":"use std::default::Default;\nuse std::hash::Hasher;\n\ncomptime global RATE: u32 = 3;\n\npub struct Poseidon2 {\n cache: [Field; 3],\n state: [Field; 4],\n cache_size: u32,\n squeeze_mode: bool, // 0 => absorb, 1 => squeeze\n}\n\nimpl Poseidon2 {\n #[no_predicates]\n pub fn hash(input: [Field; N], message_size: u32) -> Field {\n Poseidon2::hash_internal(input, message_size, message_size != N)\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result =\n Poseidon2 { cache: [0; 3], state: [0; 4], cache_size: 0, squeeze_mode: false };\n result.state[RATE] = iv;\n result\n }\n\n fn perform_duplex(&mut self) {\n // add the cache into sponge state\n for i in 0..RATE {\n // We effectively zero-pad the cache by only adding to the state\n // cache that is less than the specified `cache_size`\n if i < self.cache_size {\n self.state[i] += self.cache[i];\n }\n }\n self.state = crate::poseidon2_permutation(self.state, 4);\n }\n\n fn absorb(&mut self, input: Field) {\n assert(!self.squeeze_mode);\n if self.cache_size == RATE {\n // If we're absorbing, and the cache is full, apply the sponge permutation to compress the cache\n self.perform_duplex();\n self.cache[0] = input;\n self.cache_size = 1;\n } else {\n // If we're absorbing, and the cache is not full, add the input into the cache\n self.cache[self.cache_size] = input;\n self.cache_size += 1;\n }\n }\n\n fn squeeze(&mut self) -> Field {\n assert(!self.squeeze_mode);\n // If we're in absorb mode, apply sponge permutation to compress the cache.\n self.perform_duplex();\n self.squeeze_mode = true;\n\n // Pop one item off the top of the permutation and return it.\n self.state[0]\n }\n\n fn hash_internal(\n input: [Field; N],\n in_len: u32,\n is_variable_length: bool,\n ) -> Field {\n let two_pow_64 = 18446744073709551616;\n let iv: Field = (in_len as Field) * two_pow_64;\n let mut sponge = Poseidon2::new(iv);\n for i in 0..input.len() {\n if i < in_len {\n sponge.absorb(input[i]);\n }\n }\n\n // In the case where the hash preimage is variable-length, we append `1` to the end of the input, to distinguish\n // from fixed-length hashes. (the combination of this additional field element + the hash IV ensures\n // fixed-length and variable-length hashes do not collide)\n if is_variable_length {\n sponge.absorb(1);\n }\n sponge.squeeze()\n }\n}\n\npub struct Poseidon2Hasher {\n _state: [Field],\n}\n\nimpl Hasher for Poseidon2Hasher {\n fn finish(self) -> Field {\n let iv: Field = (self._state.len() as Field) * 18446744073709551616; // iv = (self._state.len() << 64)\n let mut sponge = Poseidon2::new(iv);\n for i in 0..self._state.len() {\n sponge.absorb(self._state[i]);\n }\n sponge.squeeze()\n }\n\n fn write(&mut self, input: Field) {\n self._state = self._state.push_back(input);\n }\n}\n\nimpl Default for Poseidon2Hasher {\n fn default() -> Self {\n Poseidon2Hasher { _state: &[] }\n }\n}\n","path":"/home/alexandre/nargo/github.com/noir-lang/poseidon/v0.1.1/src/poseidon2.nr"},"61":{"source":"use common::{\n check_commitment, check_input_note_ownership, get_address, get_note_commitment, InputNote, Note,\n};\nuse poseidon::poseidon2;\n\npub fn utxo_main(\n input_notes: [InputNote; 2],\n output_notes: [Note; 2],\n pmessage4: Field,\n commitments: [Field; 4],\n messages: [Field; 5],\n) {\n // Check the commitments\n check_commitment(input_notes[0].note, commitments[0]);\n check_commitment(input_notes[1].note, commitments[1]);\n check_commitment(output_notes[0], commitments[2]);\n check_commitment(output_notes[1], commitments[3]);\n\n // Check individual outputs are not greater than 240 bits\n output_notes[0].value.assert_max_bit_size::<240>();\n output_notes[1].value.assert_max_bit_size::<240>();\n\n let input_value = input_notes[0].note.value + input_notes[1].note.value;\n\n let output_value = output_notes[0].value + output_notes[1].value;\n\n // Check for multiple kinds, not currently supported in this proof\n let (is_multiple_kinds, _note_kind) = is_multiple_kinds([\n input_notes[0].note,\n input_notes[1].note,\n output_notes[0],\n output_notes[1],\n ]);\n assert(!is_multiple_kinds, \"Inconsistent kinds are not allowed\");\n\n // Kind of UTXO txn\n let kind = messages[0];\n\n // Messages (only for mint/burns, otherwise all zeros)\n let msg_note_kind = messages[1];\n let msg_value = messages[2];\n\n // Assert message value size is max 240 bits to prevent overflow attack\n msg_value.assert_max_bit_size::<240>();\n\n let msg_hash = messages[3];\n let burn_addr = messages[4];\n\n let mint_hash = poseidon2::Poseidon2::hash([output_notes[0].psi, output_notes[1].psi], 2);\n\n let burn_hash = commitments[0];\n\n if (kind == 1) {\n assert(input_value == output_value, \"Input and output totals do not match\");\n } else if (kind == 2) {\n assert(output_value == input_value + msg_value, \"Mint output must match value message\");\n assert(mint_hash == msg_hash, \"Mint hash must match message\");\n assert(output_notes[0].kind == msg_note_kind, \"Mint note kind must match message\")\n } else if (kind == 3) {\n assert(pmessage4 == burn_addr, \"messages[4] must match private input\");\n assert(burn_hash == msg_hash, \"Burn hash must match message\");\n assert(input_value == output_value + msg_value, \"Burn output must match value message\");\n assert(input_notes[0].note.kind == msg_note_kind, \"Burn note kind must match message\")\n } else {\n assert(false, \"Invalid kind\");\n }\n\n // Check the user owns the input notes\n check_input_note_ownership(input_notes[0]);\n check_input_note_ownership(input_notes[1]);\n}\n\nfn is_multiple_kinds(notes: [Note; 4]) -> (bool, Field) {\n let mut first_non_zero_kind = 0;\n let mut is_multiple_kinds = false;\n\n for i in 0..4 {\n if !is_multiple_kinds {\n if notes[i].kind != 0 {\n if first_non_zero_kind == 0 {\n first_non_zero_kind = notes[i].kind;\n } else if first_non_zero_kind != notes[i].kind {\n is_multiple_kinds = true;\n }\n }\n }\n }\n\n (is_multiple_kinds, first_non_zero_kind)\n}\n\nfn bridged_note_kind() -> Field {\n 3533694129556768672311144317398675444585744224105014452550528428861358080\n}\n\n#[test]\nfn test_send_two_inputs_two_outputs() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 1, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 14, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_send_one_input_two_outputs() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 1, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 9, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_send_two_inputs_one_output() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 10, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: 0, value: 0, address, psi: 0 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test(should_fail)]\nfn test_send_diff_kinds() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: 2, value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: 2, value: 5, address, psi: 4 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_mint() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 30, address, psi: 3 };\n\n let commitments = [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ];\n\n let mint_hash = poseidon2::Poseidon2::hash([note_3.psi, note_4.psi], 2);\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n commitments,\n [2, bridged_note_kind(), 10, mint_hash, 0],\n )\n}\n\n#[test]\nfn test_burn() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: bridged_note_kind(), value: 5, address, psi: 2 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: pk };\n\n let note_3 = Note { kind: 0, value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 10, address, psi: 3 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [3, bridged_note_kind(), 10, get_note_commitment(note_1), 0],\n )\n}\n\n#[test]\nfn test_send_zero_value() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 0, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 0, address, psi: 3 };\n let note_4 = Note { kind: 0, value: 0, address, psi: 0 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [1, 0, 0, 0, 0],\n )\n}\n\n#[test]\nfn test_mint_with_padding_input() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 5, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: bridged_note_kind(), value: 15, address, psi: 3 };\n let note_4 = Note { kind: bridged_note_kind(), value: 0, address: 0, psi: 0 };\n\n let commitments = [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ];\n\n let mint_hash = poseidon2::Poseidon2::hash([note_3.psi, note_4.psi], 2);\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n commitments,\n [2, bridged_note_kind(), 10, mint_hash, 0],\n )\n}\n\n#[test]\nfn test_burn_single_input() {\n let pk: Field = 101;\n let address = get_address(pk);\n\n let note_1 = Note { kind: bridged_note_kind(), value: 15, address, psi: 1 };\n let note_2 = Note { kind: 0, value: 0, address, psi: 0 };\n let input_note_1 = InputNote { note: note_1, secret_key: pk };\n let input_note_2 = InputNote { note: note_2, secret_key: 0 };\n\n let note_3 = Note { kind: 0, value: 0, address: 0, psi: 0 };\n let note_4 = Note { kind: bridged_note_kind(), value: 5, address, psi: 3 };\n\n utxo_main(\n [input_note_1, input_note_2],\n [note_3, note_4],\n 0,\n [\n get_note_commitment(note_1),\n get_note_commitment(note_2),\n get_note_commitment(note_3),\n get_note_commitment(note_4),\n ],\n [3, bridged_note_kind(), 10, get_note_commitment(note_1), 0],\n )\n}\n","path":"/home/alexandre/Documents/repos/cachecash/noir/utxo_lib/src/lib.nr"}},"names":["main"],"brillig_names":["directive_invert"]} \ No newline at end of file diff --git a/pkg/barretenberg/Cargo.toml b/pkg/barretenberg/Cargo.toml index b32213a..63a02b1 100644 --- a/pkg/barretenberg/Cargo.toml +++ b/pkg/barretenberg/Cargo.toml @@ -6,6 +6,7 @@ edition = "2024" # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html [dependencies] +anyhow = { workspace = true } element = { workspace = true } zk-primitives = { workspace = true } lazy_static = "1.4" diff --git a/pkg/barretenberg/src/circuits/migrate.rs b/pkg/barretenberg/src/circuits/migrate.rs index c3cebeb..9e2328d 100644 --- a/pkg/barretenberg/src/circuits/migrate.rs +++ b/pkg/barretenberg/src/circuits/migrate.rs @@ -115,7 +115,6 @@ impl Verify for MigrateProof { mod tests { use super::*; use element::Element; - use hash::hash_merge; use zk_primitives::get_address_for_private_key; #[test] @@ -124,7 +123,7 @@ mod tests { let owner_pk = Element::from(101u64); let new_address = get_address_for_private_key(owner_pk); - let old_address = hash_merge([owner_pk, Element::ZERO]); + let old_address = hash::poseidon_alt_hash_2([owner_pk, Element::ZERO]); let migrate = Migrate { owner_pk, diff --git a/pkg/barretenberg/src/circuits/points.rs b/pkg/barretenberg/src/circuits/points.rs index 7427861..e852ee8 100644 --- a/pkg/barretenberg/src/circuits/points.rs +++ b/pkg/barretenberg/src/circuits/points.rs @@ -7,6 +7,7 @@ use crate::{ util::write_to_temp_file, verify::verify, }; +use anyhow::anyhow; use element::Base; use lazy_static::lazy_static; use noirc_abi::{InputMap, input_parser::InputValue}; @@ -30,7 +31,6 @@ lazy_static! { } const POINTS_PUBLIC_INPUTS_COUNT: usize = 13; -const POINTS_PROOF_SIZE: usize = 508; impl Prove for Points { type Proof = PointsProof; @@ -54,13 +54,10 @@ impl Prove for Points { let public_inputs = bytes_to_elements(&public_inputs); let raw_proof = proof_bytes[POINTS_PUBLIC_INPUTS_COUNT * 32..].to_vec(); - assert_eq!( - raw_proof.len(), - POINTS_PROOF_SIZE * 32, - "Proof must be {POINTS_PROOF_SIZE} elements of 32 bytes" - ); + if raw_proof.len() % 32 != 0 { + return Err(anyhow!("Proof byte length must be a multiple of 32").into()); + } - // Convert the proof bytes to a UtxoProof let proof = PointsProof { proof: PointsProofBytes(raw_proof), public_inputs: PointsPublicInput { diff --git a/pkg/barretenberg/src/circuits/signature.rs b/pkg/barretenberg/src/circuits/signature.rs index 047c916..74d1ace 100644 --- a/pkg/barretenberg/src/circuits/signature.rs +++ b/pkg/barretenberg/src/circuits/signature.rs @@ -7,6 +7,7 @@ use crate::{ util::write_to_temp_file, verify::verify, }; +use anyhow::anyhow; use element::Base; use lazy_static::lazy_static; use noirc_abi::InputMap; @@ -30,7 +31,6 @@ lazy_static! { // TODO: can we move this as a trait on zk-primitives? const SIGNATURE_PUBLIC_INPUTS_COUNT: usize = 2; -const SIGNATURE_PROOF_SIZE: usize = 508; impl Prove for Signature { type Proof = SignatureProof; @@ -54,13 +54,10 @@ impl Prove for Signature { let public_inputs = bytes_to_elements(&public_inputs); let raw_proof = proof_bytes[SIGNATURE_PUBLIC_INPUTS_COUNT * 32..].to_vec(); - assert_eq!( - raw_proof.len(), - SIGNATURE_PROOF_SIZE * 32, - "Proof must be {SIGNATURE_PROOF_SIZE} elements of 32 bytes" - ); + if raw_proof.len() % 32 != 0 { + return Err(anyhow!("Proof byte length must be a multiple of 32").into()); + } - // Convert the proof bytes to a UtxoProof let proof = SignatureProof { proof: SignatureProofBytes(raw_proof), public_inputs: SignaturePublicInput { diff --git a/pkg/hash/Cargo.toml b/pkg/hash/Cargo.toml index 8f6d2ac..09fe617 100644 --- a/pkg/hash/Cargo.toml +++ b/pkg/hash/Cargo.toml @@ -4,11 +4,13 @@ version = "0.1.0" edition = "2024" [dependencies] +acvm = { workspace = true } element = { workspace = true } rand = { workspace = true, optional = true } serde = { workspace = true } hex = { workspace = true } +once_cell = { workspace = true } bn254_blackbox_solver = { workspace = true } [dev-dependencies] diff --git a/pkg/hash/src/lib.rs b/pkg/hash/src/lib.rs index 6bda927..4e5ade8 100644 --- a/pkg/hash/src/lib.rs +++ b/pkg/hash/src/lib.rs @@ -1,8 +1,11 @@ use element::Element; mod path; +mod poseidon_alt; +mod poseidon_alt_data; pub use path::*; +pub use poseidon_alt::poseidon_alt_hash_2; #[cfg(feature = "test-api")] static HASH_COUNTER: core::sync::atomic::AtomicUsize = core::sync::atomic::AtomicUsize::new(0); diff --git a/pkg/hash/src/poseidon_alt.rs b/pkg/hash/src/poseidon_alt.rs new file mode 100644 index 0000000..359a4e4 --- /dev/null +++ b/pkg/hash/src/poseidon_alt.rs @@ -0,0 +1,180 @@ +use acvm::{AcirField, FieldElement}; +use element::Element; +use once_cell::sync::Lazy; + +use crate::poseidon_alt_data::{ + FULL_ROUNDS, MDS_HEX, PARTIAL_ROUNDS, RATE, ROUND_CONSTANTS_HEX, WIDTH, +}; + +static ROUND_CONSTANTS: Lazy<[[FieldElement; 3]; 65]> = + Lazy::new(|| ROUND_CONSTANTS_HEX.map(|row| row.map(field_element_from_hex))); + +static MDS_MATRIX: Lazy<[[FieldElement; 3]; 3]> = + Lazy::new(|| MDS_HEX.map(|row| row.map(field_element_from_hex))); + +fn field_element_from_hex(hex: &str) -> FieldElement { + let bytes = hex_to_32_bytes(hex); + FieldElement::from_be_bytes_reduce(&bytes) +} + +fn hex_to_32_bytes(hex: &str) -> [u8; 32] { + let mut hex = hex.trim_start_matches("0x").to_owned(); + if hex.len() % 2 == 1 { + hex.insert(0, '0'); + } + let mut bytes = [0u8; 32]; + let decoded = hex::decode(&hex).expect("invalid hex literal"); + bytes[32 - decoded.len()..].copy_from_slice(&decoded); + bytes +} + +fn sbox(x: FieldElement) -> FieldElement { + let x2 = x.clone() * x.clone(); + let x4 = x2.clone() * x2.clone(); + x4 * x +} + +fn apply_mds(state: [FieldElement; WIDTH]) -> [FieldElement; WIDTH] { + let mut result = [FieldElement::zero(); WIDTH]; + for i in 0..WIDTH { + for j in 0..WIDTH { + result[i] += MDS_MATRIX[i][j] * state[j]; + } + } + result +} + +fn full_round( + mut state: [FieldElement; WIDTH], + round_constants: [FieldElement; WIDTH], +) -> [FieldElement; WIDTH] { + for i in 0..WIDTH { + state[i] = sbox(state[i] + round_constants[i]); + } + apply_mds(state) +} + +fn partial_round( + mut state: [FieldElement; WIDTH], + round_constants: [FieldElement; WIDTH], +) -> [FieldElement; WIDTH] { + for i in 0..WIDTH { + state[i] += round_constants[i]; + } + state[0] = sbox(state[0]); + apply_mds(state) +} + +fn permute(mut state: [FieldElement; WIDTH]) -> [FieldElement; WIDTH] { + let mut constants = ROUND_CONSTANTS.iter(); + + for _ in 0..(FULL_ROUNDS / 2) { + let round = constants.next().expect("round constant missing").clone(); + state = full_round(state, round); + } + + for _ in 0..PARTIAL_ROUNDS { + let round = constants.next().expect("round constant missing").clone(); + state = partial_round(state, round); + } + + for _ in 0..(FULL_ROUNDS / 2) { + let round = constants.next().expect("round constant missing").clone(); + state = full_round(state, round); + } + + state +} + +struct PoseidonSponge { + state: [FieldElement; WIDTH], + cache: [FieldElement; RATE], + cache_size: usize, +} + +impl PoseidonSponge { + fn new(initial_capacity: FieldElement) -> Self { + let mut state = [FieldElement::zero(); WIDTH]; + state[RATE] = initial_capacity; + Self { + state, + cache: [FieldElement::zero(); RATE], + cache_size: 0, + } + } + + fn absorb(&mut self, input: FieldElement) { + if self.cache_size == RATE { + self.perform_duplex(); + self.cache[0] = input; + self.cache_size = 1; + } else { + self.cache[self.cache_size] = input; + self.cache_size += 1; + } + } + + fn perform_duplex(&mut self) { + for i in 0..RATE { + if i < self.cache_size { + self.state[i] += self.cache[i]; + } + } + self.state = permute(self.state); + self.cache_size = 0; + } + + fn squeeze(mut self) -> FieldElement { + self.perform_duplex(); + self.state[0] + } +} + +/// Compute the Poseidon hash used by the Noir `poseidon_alt` crate for two elements. +#[must_use] +pub fn poseidon_alt_hash_2(elements: [Element; 2]) -> Element { + let initial_capacity = + FieldElement::from(2u128) * FieldElement::from(0x1_0000_0000_0000_0000u128); + + let mut sponge = PoseidonSponge::new(initial_capacity); + sponge.absorb(elements[0].to_base()); + sponge.absorb(elements[1].to_base()); + + let result = sponge.squeeze(); + + Element::from_base(result) +} + +#[cfg(test)] +mod tests { + use super::*; + use std::str::FromStr; + + #[test] + fn matches_noir_zero_zero() { + let expected = + Element::from_str("0x2ba00861b8f1581f5e17d438e323fa2809f58f1a60009dcd05edb1c9c7c833da") + .unwrap(); + let result = poseidon_alt_hash_2([Element::ZERO, Element::ZERO]); + assert_eq!(result, expected); + } + + #[test] + fn matches_noir_one_zero() { + let expected = + Element::from_str("0x034797ee520c67ec5ee6fd37f581ba7267449a21de06aa55a09821caeec2e89d") + .unwrap(); + let result = poseidon_alt_hash_2([Element::ONE, Element::ZERO]); + assert_eq!(result, expected); + } + + #[test] + fn matches_noir_owner() { + let expected = + Element::from_str("0x16cee71675328aab01b7e6ff986920b333f0fa5a155df015cdef5c8386d5f170") + .unwrap(); + let owner = Element::from(101u64); + let result = poseidon_alt_hash_2([owner, Element::ZERO]); + assert_eq!(result, expected); + } +} diff --git a/pkg/hash/src/poseidon_alt_data.rs b/pkg/hash/src/poseidon_alt_data.rs new file mode 100644 index 0000000..3fc3a30 --- /dev/null +++ b/pkg/hash/src/poseidon_alt_data.rs @@ -0,0 +1,349 @@ +// Auto-generated from noir/poseidon_alt/src/constants.nr +pub const FULL_ROUNDS: usize = 8; +pub const PARTIAL_ROUNDS: usize = 57; +pub const RATE: usize = 2; +pub const WIDTH: usize = 3; +pub const ROUND_CONSTANTS_HEX: [[&str; 3]; 65] = [ + [ + "0xee9a592ba9a9518d05986d656f40c2114c4993c11bb29938d21d47304cd8e6e", + "0xf1445235f2148c5986587169fc1bcd887b08d4d00868df5696fff40956e864", + "0x8dff3487e8ac99e1f29a058d0fa80b930c728730b7ab36ce879f3890ecf73f5", + ], + [ + "0x2f27be690fdaee46c3ce28f7532b13c856c35342c84bda6e20966310fadc01d0", + "0x2b2ae1acf68b7b8d2416bebf3d4f6234b763fe04b8043ee48b8327bebca16cf2", + "0x319d062072bef7ecca5eac06f97d4d55952c175ab6b03eae64b44c7dbf11cfa", + ], + [ + "0x28813dcaebaeaa828a376df87af4a63bc8b7bf27ad49c6298ef7b387bf28526d", + "0x2727673b2ccbc903f181bf38e1c1d40d2033865200c352bc150928adddf9cb78", + "0x234ec45ca27727c2e74abd2b2a1494cd6efbd43e340587d6b8fb9e31e65cc632", + ], + [ + "0x15b52534031ae18f7f862cb2cf7cf760ab10a8150a337b1ccd99ff6e8797d428", + "0xdc8fad6d9e4b35f5ed9a3d186b79ce38e0e8a8d1b58b132d701d4eecf68d1f6", + "0x1bcd95ffc211fbca600f705fad3fb567ea4eb378f62e1fec97805518a47e4d9c", + ], + [ + "0x10520b0ab721cadfe9eff81b016fc34dc76da36c2578937817cb978d069de559", + 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"0x96d6790d05bb759156a952ba263d672a2d7f9c788f4c831a29dace4c0f8be5f", + ], + [ + "0x54efa1f65b0fce283808965275d877b438da23ce5b13e1963798cb1447d25a4", + "0x1b162f83d917e93edb3308c29802deb9d8aa690113b2e14864ccf6e18e4165f1", + "0x21e5241e12564dd6fd9f1cdd2a0de39eedfefc1466cc568ec5ceb745a0506edc", + ], + [ + "0x1cfb5662e8cf5ac9226a80ee17b36abecb73ab5f87e161927b4349e10e4bdf08", + "0xf21177e302a771bbae6d8d1ecb373b62c99af346220ac0129c53f666eb24100", + "0x1671522374606992affb0dd7f71b12bec4236aede6290546bcef7e1f515c2320", + ], + [ + "0xfa3ec5b9488259c2eb4cf24501bfad9be2ec9e42c5cc8ccd419d2a692cad870", + "0x193c0e04e0bd298357cb266c1506080ed36edce85c648cc085e8c57b1ab54bba", + "0x102adf8ef74735a27e9128306dcbc3c99f6f7291cd406578ce14ea2adaba68f8", + ], + [ + "0xfe0af7858e49859e2a54d6f1ad945b1316aa24bfbdd23ae40a6d0cb70c3eab1", + "0x216f6717bbc7dedb08536a2220843f4e2da5f1daa9ebdefde8a5ea7344798d22", + "0x1da55cc900f0d21f4a3e694391918a1b3c23b2ac773c6b3ef88e2e4228325161", + ], +]; +pub const MDS_HEX: [[&str; 3]; 3] = [ + [ + "0x109b7f411ba0e4c9b2b70caf5c36a7b194be7c11ad24378bfedb68592ba8118b", + "0x16ed41e13bb9c0c66ae119424fddbcbc9314dc9fdbdeea55d6c64543dc4903e0", + "0x2b90bba00fca0589f617e7dcbfe82e0df706ab640ceb247b791a93b74e36736d", + ], + [ + "0x2969f27eed31a480b9c36c764379dbca2cc8fdd1415c3dded62940bcde0bd771", + "0x2e2419f9ec02ec394c9871c832963dc1b89d743c8c7b964029b2311687b1fe23", + "0x101071f0032379b697315876690f053d148d4e109f5fb065c8aacc55a0f89bfa", + ], + [ + "0x143021ec686a3f330d5f9e654638065ce6cd79e28c5b3753326244ee65a1b1a7", + "0x176cc029695ad02582a70eff08a6fd99d057e12e58e7d7b6b16cdfabc8ee2911", + "0x19a3fc0a56702bf417ba7fee3802593fa644470307043f7773279cd71d25d5e0", + ], +]; diff --git a/server/src/bin/mint_request.rs b/server/src/bin/mint_request.rs index 4e6702a..6e96222 100644 --- a/server/src/bin/mint_request.rs +++ b/server/src/bin/mint_request.rs @@ -4,7 +4,7 @@ use reqwest::Client; use serde::Serialize; #[derive(Parser, Debug)] -#[command(about = "Send a faucet mint request to the zfruit server", version)] +#[command(about = "Send a faucet mint request to the cachecash server", version)] struct Args { /// Base URL of the server, e.g. http://localhost:9002 #[arg(long, default_value = "http://localhost:9002")] diff --git a/server/src/conf.rs b/server/src/conf.rs index f7fc6f0..6aa4af5 100644 --- a/server/src/conf.rs +++ b/server/src/conf.rs @@ -30,7 +30,7 @@ impl Conf { builder .add_source( - Environment::with_prefix("zfruit") + Environment::with_prefix("cachecash") .separator("__") .prefix_separator("_") .list_separator(","), diff --git a/server/src/conf_defaults.toml b/server/src/conf_defaults.toml index 73dcc5f..549c893 100644 --- a/server/src/conf_defaults.toml +++ b/server/src/conf_defaults.toml @@ -1,4 +1,4 @@ -id = "zfruit" +id = "cachecash" log_format = "full" rest_server_port = 9002 diff --git a/server/src/main.rs b/server/src/main.rs index 7128824..64f2b17 100644 --- a/server/src/main.rs +++ b/server/src/main.rs @@ -34,7 +34,7 @@ use tracing::info; use tracing_subscriber::EnvFilter; #[derive(Parser, Debug)] -#[command(version, about = "Run the zfruit faucet server", long_about = None)] +#[command(version, about = "Run the cachecash faucet server", long_about = None)] struct Args { #[arg(long, default_value = "config.toml")] config_file: Vec, @@ -195,7 +195,7 @@ async fn main() -> Result<()> { contract = %config.contract_name, amount = config.default_faucet_amount, port = config.rest_server_port, - "Starting zfruit faucet server", + "Starting cachecash faucet server", ); handler.start_modules().await.context("starting modules")?; diff --git a/server/src/tx.rs b/server/src/tx.rs index 86e3ff2..9429a17 100644 --- a/server/src/tx.rs +++ b/server/src/tx.rs @@ -1,4 +1,4 @@ -use crate::types::ZfruitAction; +use crate::types::CachecashAction; use sdk::{BlobTransaction, ContractAction, ContractName, Identity}; pub const FAUCET_IDENTITY_PREFIX: &str = "faucet"; @@ -9,7 +9,7 @@ pub fn build_faucet_transaction( recipient_pubkey: Vec, amount: u64, ) -> BlobTransaction { - let action = ZfruitAction::Faucet { + let action = CachecashAction::Faucet { recipient_pubkey, amount, }; diff --git a/server/src/types.rs b/server/src/types.rs index 4e92dbc..287a23c 100644 --- a/server/src/types.rs +++ b/server/src/types.rs @@ -16,14 +16,14 @@ pub struct FaucetResponse { } #[derive(Clone, Debug, BorshSerialize, BorshDeserialize, Serialize, Deserialize)] -pub enum ZfruitAction { +pub enum CachecashAction { Faucet { recipient_pubkey: Vec, amount: u64, }, } -impl ContractAction for ZfruitAction { +impl ContractAction for CachecashAction { fn as_blob( &self, contract_name: ContractName, From 00792f907ce9254b972c503d765c847acf6031ba Mon Sep 17 00:00:00 2001 From: Alexandre Careil Date: Mon, 27 Oct 2025 14:55:55 +0100 Subject: [PATCH 04/11] fmt --- contracts/hyli-utxo-state/src/state.rs | 6 +-- server/src/app.rs | 53 +++++++++----------------- server/src/prover.rs | 8 ++-- 3 files changed, 22 insertions(+), 45 deletions(-) diff --git a/contracts/hyli-utxo-state/src/state.rs b/contracts/hyli-utxo-state/src/state.rs index 6fc5fa5..0285d7b 100644 --- a/contracts/hyli-utxo-state/src/state.rs +++ b/contracts/hyli-utxo-state/src/state.rs @@ -338,13 +338,11 @@ mod tests { assert_eq!(batch.remaining.len(), 2); // Advance to next step; commitment should still reflect the applied step. - let _ = - ::on_success(&mut batch); + let _ = ::on_success(&mut batch); assert_root(&batch, 2); assert_eq!(batch.remaining.len(), 1); - let _ = - ::on_success(&mut batch); + let _ = ::on_success(&mut batch); assert_root(&batch, 3); assert_eq!(batch.remaining.len(), 0); } diff --git a/server/src/app.rs b/server/src/app.rs index 31e4b01..9464a57 100644 --- a/server/src/app.rs +++ b/server/src/app.rs @@ -229,36 +229,15 @@ mod tests { modules::prover::{AutoProver, AutoProverCtx}, }; use hyli_utxo_state::{state::HyliUtxoStateAction, zk::BorshableH256}; + use sdk::hyli_model_utils::TimestampMs; use sdk::{ - AggregateSignature, - Block, - BlockHeight, - BlockStakingData, - Blob, - BlobIndex, - BlobTransaction, - Calldata, - ConsensusProposal, - ConsensusProposalHash, - Contract, - ContractName, - DataProposalHash, - NodeStateBlock, - NodeStateEvent, - ProgramId, - StatefulEvent, - StatefulEvents, - TimeoutWindow, - Transaction, - TxContext, - TxHash, - TxId, - ValidatorPublicKey, - Verifier, + AggregateSignature, Blob, BlobIndex, BlobTransaction, Block, BlockHeight, BlockStakingData, + Calldata, ConsensusProposal, ConsensusProposalHash, Contract, ContractName, + DataProposalHash, NodeStateBlock, NodeStateEvent, ProgramId, StatefulEvent, StatefulEvents, + TimeoutWindow, Transaction, TxContext, TxHash, TxId, ValidatorPublicKey, Verifier, HYLI_TESTNET_CHAIN_ID, }; use sdk::{Hashed, LaneId, SignedBlock}; - use sdk::hyli_model_utils::TimestampMs; use std::{collections::BTreeMap, sync::Arc}; use tempfile::tempdir; use tokio::time::{sleep, timeout, Duration}; @@ -279,7 +258,10 @@ mod tests { block_height: u64, ) -> NodeStateBlock { let tx_hash = blob_tx.hashed(); - let tx_id = TxId(DataProposalHash(format!("dp-{block_height}")), tx_hash.clone()); + let tx_id = TxId( + DataProposalHash(format!("dp-{block_height}")), + tx_hash.clone(), + ); let tx_ctx = Arc::new(TxContext { lane_id: LaneId(ValidatorPublicKey(vec![0u8; 32])), block_hash: ConsensusProposalHash(format!("block-{block_height}")), @@ -559,8 +541,7 @@ mod tests { api_client.add_contract(contract.clone()); let data_dir = tempdir().expect("tempdir"); - let prover_arc: Arc> + Send + Sync> = - mock_prover.clone(); + let prover_arc: Arc> + Send + Sync> = mock_prover.clone(); let node_arc: Arc = api_client.clone(); let ctx = Arc::new(AutoProverCtx { @@ -575,12 +556,9 @@ mod tests { tx_working_window_size: 1, }); - let auto_prover = AutoProver::::build( - shared_bus.new_handle(), - ctx, - ) - .await - .expect("build autoprover"); + let auto_prover = AutoProver::::build(shared_bus.new_handle(), ctx) + .await + .expect("build autoprover"); let auto_prover_handle = tokio::spawn(async move { let mut prover = auto_prover; @@ -637,7 +615,10 @@ mod tests { .expect("proof timeout"); assert_eq!(proof.contract_name, contract_name); - assert!(!proof.proof.0.is_empty(), "proof payload should not be empty"); + assert!( + !proof.proof.0.is_empty(), + "proof payload should not be empty" + ); auto_prover_handle.abort(); let _ = auto_prover_handle.await; diff --git a/server/src/prover.rs b/server/src/prover.rs index 2cd5a7c..7060df0 100644 --- a/server/src/prover.rs +++ b/server/src/prover.rs @@ -1,6 +1,6 @@ use std::path::Path; -use anyhow::{Context, Result, anyhow}; +use anyhow::{anyhow, Context, Result}; use hyli_verifiers::noir_utils; use sdk::{HyliOutput, ProgramId, ProofData, ProofTransaction, Verifier}; @@ -69,10 +69,8 @@ impl NoirProver { noir_utils::split_public_inputs(&proof_data.0, &artifacts.program_id.0) .ok_or_else(|| anyhow!("failed to split Noir public inputs from proof"))?; - let outputs = vec![ - noir_utils::parse_noir_output(public_inputs) - .context("parsing Noir public inputs into HyliOutput")?, - ]; + let outputs = vec![noir_utils::parse_noir_output(public_inputs) + .context("parsing Noir public inputs into HyliOutput")?]; // }; let proof_tx = ProofTransaction { From 0c9b09284ff32fcb3e6e70df1b46bbbe647d7ac1 Mon Sep 17 00:00:00 2001 From: Alexandre Careil Date: Mon, 27 Oct 2025 15:06:09 +0100 Subject: [PATCH 05/11] fix most clippy warnings --- contracts/hyli-utxo-state/src/state.rs | 4 ++-- contracts/hyli-utxo-state/src/zk/mod.rs | 2 +- contracts/hyli-utxo-state/src/zk/smt.rs | 5 ++-- pkg/element/src/serde.rs | 7 +++--- pkg/hash/src/poseidon_alt.rs | 32 +++++++++++++++---------- pkg/primitives/src/util.rs | 2 +- pkg/zk-primitives/src/hyli_utxo.rs | 8 +++---- pkg/zk-primitives/src/note_url.rs | 12 +++++----- pkg/zk-primitives/src/util.rs | 16 ++++++------- 9 files changed, 46 insertions(+), 42 deletions(-) diff --git a/contracts/hyli-utxo-state/src/state.rs b/contracts/hyli-utxo-state/src/state.rs index 0285d7b..e2b8c91 100644 --- a/contracts/hyli-utxo-state/src/state.rs +++ b/contracts/hyli-utxo-state/src/state.rs @@ -38,7 +38,7 @@ impl HyliUtxoZkVmBatch { pub fn extend_with(&mut self, next: HyliUtxoZkVmBatch) { let mut merged = Vec::with_capacity(next.remaining.len() + 1 + self.remaining.len()); - merged.extend(next.remaining.into_iter()); + merged.extend(next.remaining); merged.push(next.current); merged.extend(std::mem::take(&mut self.remaining)); self.remaining = merged; @@ -256,7 +256,7 @@ impl sdk::TransactionalZkContract for HyliUtxoZkVmBatch { } } -pub fn hyli_utxo_blob<'a>(calldata: &'a Calldata) -> Result<&'a [u8], String> { +pub fn hyli_utxo_blob(calldata: &Calldata) -> Result<&[u8], String> { calldata .blobs .iter() diff --git a/contracts/hyli-utxo-state/src/zk/mod.rs b/contracts/hyli-utxo-state/src/zk/mod.rs index 81607ca..9eec092 100644 --- a/contracts/hyli-utxo-state/src/zk/mod.rs +++ b/contracts/hyli-utxo-state/src/zk/mod.rs @@ -89,7 +89,7 @@ impl(leaves) - .map(|root| BorshableH256::from(root)) + .map(BorshableH256::from) .map_err(|e| format!("Failed to compute SMT root from proof: {e}")) } } diff --git a/contracts/hyli-utxo-state/src/zk/smt.rs b/contracts/hyli-utxo-state/src/zk/smt.rs index 12223d2..8dc02a0 100644 --- a/contracts/hyli-utxo-state/src/zk/smt.rs +++ b/contracts/hyli-utxo-state/src/zk/smt.rs @@ -244,9 +244,8 @@ impl BorshDeserialize for SMT { for _ in 0..len { let key = BorshableH256::deserialize_reader(reader)?; let value = BorshableH256::deserialize_reader(reader)?; - tree.update_leaf(key, value).map_err(|e| { - io::Error::new(io::ErrorKind::Other, format!("rebuilding SMT: {e}")) - })?; + tree.update_leaf(key, value) + .map_err(|e| io::Error::other(format!("rebuilding SMT: {e}")))?; } if tree.root() != expected_root { return Err(io::Error::new( diff --git a/pkg/element/src/serde.rs b/pkg/element/src/serde.rs index d6edb72..1755333 100644 --- a/pkg/element/src/serde.rs +++ b/pkg/element/src/serde.rs @@ -33,9 +33,10 @@ mod tests { #[proptest] fn elements_produce_identical_base_before_after_serialize(element: Element) { - let value = serde_json::to_value(element).unwrap(); - let element_again: Element = serde_json::from_value(value).unwrap(); + let example = Example { element }; + let value = serde_json::to_value(&example).unwrap(); + let example_again: Example = serde_json::from_value(value).unwrap(); - assert_eq!(element, element_again); + assert_eq!(example, example_again); } } diff --git a/pkg/hash/src/poseidon_alt.rs b/pkg/hash/src/poseidon_alt.rs index 359a4e4..ff45ecd 100644 --- a/pkg/hash/src/poseidon_alt.rs +++ b/pkg/hash/src/poseidon_alt.rs @@ -29,17 +29,20 @@ fn hex_to_32_bytes(hex: &str) -> [u8; 32] { } fn sbox(x: FieldElement) -> FieldElement { - let x2 = x.clone() * x.clone(); - let x4 = x2.clone() * x2.clone(); + let x2 = x * x; + let x4 = x2 * x2; x4 * x } fn apply_mds(state: [FieldElement; WIDTH]) -> [FieldElement; WIDTH] { let mut result = [FieldElement::zero(); WIDTH]; - for i in 0..WIDTH { - for j in 0..WIDTH { - result[i] += MDS_MATRIX[i][j] * state[j]; - } + for (slot, row) in result.iter_mut().zip(MDS_MATRIX.iter()) { + *slot = row + .iter() + .zip(state.iter()) + .fold(FieldElement::zero(), |acc, (coef, value)| { + acc + (*coef * *value) + }); } result } @@ -69,17 +72,17 @@ fn permute(mut state: [FieldElement; WIDTH]) -> [FieldElement; WIDTH] { let mut constants = ROUND_CONSTANTS.iter(); for _ in 0..(FULL_ROUNDS / 2) { - let round = constants.next().expect("round constant missing").clone(); + let round = *constants.next().expect("round constant missing"); state = full_round(state, round); } for _ in 0..PARTIAL_ROUNDS { - let round = constants.next().expect("round constant missing").clone(); + let round = *constants.next().expect("round constant missing"); state = partial_round(state, round); } for _ in 0..(FULL_ROUNDS / 2) { - let round = constants.next().expect("round constant missing").clone(); + let round = *constants.next().expect("round constant missing"); state = full_round(state, round); } @@ -115,10 +118,13 @@ impl PoseidonSponge { } fn perform_duplex(&mut self) { - for i in 0..RATE { - if i < self.cache_size { - self.state[i] += self.cache[i]; - } + for (slot, cached) in self + .state + .iter_mut() + .zip(self.cache.iter()) + .take(self.cache_size) + { + *slot += *cached; } self.state = permute(self.state); self.cache_size = 0; diff --git a/pkg/primitives/src/util.rs b/pkg/primitives/src/util.rs index 086deb9..abb6d96 100644 --- a/pkg/primitives/src/util.rs +++ b/pkg/primitives/src/util.rs @@ -5,7 +5,7 @@ use std::borrow::Cow; /// Truncate the given string in the middle, keeping `max_len/2` characters from /// the beginning and `max_len/2` characters from the end. /// If the string is smaller than `max_len`, it is returned as is. -pub fn middle_truncate(s: &str, max_len: usize) -> Cow { +pub fn middle_truncate(s: &str, max_len: usize) -> Cow<'_, str> { if s.len() <= max_len { Cow::Borrowed(s) } else { diff --git a/pkg/zk-primitives/src/hyli_utxo.rs b/pkg/zk-primitives/src/hyli_utxo.rs index fb03965..924e62a 100644 --- a/pkg/zk-primitives/src/hyli_utxo.rs +++ b/pkg/zk-primitives/src/hyli_utxo.rs @@ -115,7 +115,7 @@ impl HyliUtxo { write_index += HYLI_BLOB_HASH_BYTE_LENGTH; } - for field in nullifiers.iter() { + for field in &nullifiers { blob[write_index..write_index + HYLI_BLOB_HASH_BYTE_LENGTH] .copy_from_slice(&field.to_be_bytes()); write_index += HYLI_BLOB_HASH_BYTE_LENGTH; @@ -128,15 +128,13 @@ impl HyliUtxo { fn pad_string(value: &str, target_len: usize) -> String { assert!( value.len() <= target_len, - "string '{}' exceeds maximum length {}", - value, - target_len + "string '{value}' exceeds maximum length {target_len}" ); let mut padded = String::with_capacity(target_len); padded.push_str(value); if value.len() < target_len { - padded.extend(std::iter::repeat('\0').take(target_len - value.len())); + padded.extend(std::iter::repeat_n('\0', target_len - value.len())); } padded } diff --git a/pkg/zk-primitives/src/note_url.rs b/pkg/zk-primitives/src/note_url.rs index 00a095d..70768fd 100644 --- a/pkg/zk-primitives/src/note_url.rs +++ b/pkg/zk-primitives/src/note_url.rs @@ -79,7 +79,7 @@ impl NoteURLPayload { match self.version { 0 => self.psi.expect("version 1 should have explicit psi"), 1 => { - let hash = Keccak256::digest(&self.private_key.to_be_bytes()); + let hash = Keccak256::digest(self.private_key.to_be_bytes()); Element::from_str(&hex::encode(hash)).unwrap() } 2 => hash_private_key_for_psi(self.private_key), @@ -99,10 +99,10 @@ impl NoteURLPayload { bytes.extend_from_slice(&self.private_key.to_be_bytes()); // Encode psi if version is 0 - if let Some(psi) = &self.psi { - if self.version == 0 { - bytes.extend_from_slice(&psi.to_be_bytes()); - } + if let Some(psi) = &self.psi + && self.version == 0 + { + bytes.extend_from_slice(&psi.to_be_bytes()); } // Encode value with leading zeros @@ -145,7 +145,7 @@ pub fn decode_activity_url_payload(payload: &str) -> NoteURLPayload { Some(Element::from_be_bytes(psi_bytes)) } 1 => { - let hash = Keccak256::digest(&private_key_bytes); + let hash = Keccak256::digest(private_key_bytes); Some(Element::from_str(&hex::encode(hash)).unwrap()) } 2 => Some(hash_private_key_for_psi(private_key)), diff --git a/pkg/zk-primitives/src/util.rs b/pkg/zk-primitives/src/util.rs index 0baac78..aadd997 100644 --- a/pkg/zk-primitives/src/util.rs +++ b/pkg/zk-primitives/src/util.rs @@ -76,7 +76,7 @@ macro_rules! impl_serde_for_element_array { #[inline] pub fn bytes_to_elements(bytes: &[u8]) -> Vec { assert!( - bytes.len() % 32 == 0, + bytes.len().is_multiple_of(32), "Input bytes length must be a multiple of 32" ); @@ -121,7 +121,7 @@ pub fn hash_private_key_for_psi(private_key: Element) -> Element { /// /// An Element constructed from the big-endian byte representation. #[must_use] -pub fn generate_note_kind_bridge_evm(chain: u64, address: Address) -> Element { +pub fn generate_note_kind_bridge_evm(chain: u64, address: &Address) -> Element { let mut bytes = [0u8; 32]; // Big endian format: note_kind_format in bytes 0-2, chain in bytes 2-10, address in bytes 10-30 @@ -149,7 +149,7 @@ pub fn bridged_polygon_usdc_note_kind() -> Element { .copy_from_slice(&hex::decode("3c499c542cef5e3811e1192ce70d8cc03d5c3359").unwrap()); let address = Address::new(address_bytes); - generate_note_kind_bridge_evm(chain, address) + generate_note_kind_bridge_evm(chain, &address) } #[cfg(test)] @@ -165,7 +165,7 @@ mod tests { 0x0f, 0x10, 0x11, 0x12, 0x13, 0x14, ]); - let result = generate_note_kind_bridge_evm(chain, address.clone()); + let result = generate_note_kind_bridge_evm(chain, &address); // Verify the structure by extracting bytes let result_bytes = result.to_be_bytes(); @@ -188,7 +188,7 @@ mod tests { let chain = 0x0000u64; let address = Address::default(); - let result = generate_note_kind_bridge_evm(chain, address.clone()); + let result = generate_note_kind_bridge_evm(chain, &address); let result_bytes = result.to_be_bytes(); // Check note_kind_format is in bytes 0-2 @@ -212,7 +212,7 @@ mod tests { 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, ]); - let result = generate_note_kind_bridge_evm(chain, address.clone()); + let result = generate_note_kind_bridge_evm(chain, &address); let result_bytes = result.to_be_bytes(); // Check note_kind_format is in bytes 0-2 @@ -233,7 +233,7 @@ mod tests { let chain = 0xFFFF_FFFF_FFFF_FFFF_u64; let address = Address::new([0xFF; 20]); - let result = generate_note_kind_bridge_evm(chain, address); + let result = generate_note_kind_bridge_evm(chain, &address); let result_bytes = result.to_be_bytes(); // Check note_kind_format is in bytes 0-2 @@ -255,7 +255,7 @@ mod tests { let chain = 0x0123_4567_89AB_CDEF_u64; let address = Address::default(); - let result = generate_note_kind_bridge_evm(chain, address); + let result = generate_note_kind_bridge_evm(chain, &address); let result_bytes = result.to_be_bytes(); // In big endian, chain should match the to_be_bytes output From 178842c2f3d181fc6e1fc584eb3332554dfc4cef Mon Sep 17 00:00:00 2001 From: Alexandre Careil Date: Mon, 27 Oct 2025 15:19:19 +0100 Subject: [PATCH 06/11] finish cargo clippy --- elf/hyli-utxo-state | Bin 289300 -> 289304 bytes elf/hyli-utxo-state_vk | 2 +- pkg/barretenberg/src/circuits/agg_agg.rs | 12 ++++++------ pkg/barretenberg/src/circuits/agg_utxo.rs | 3 --- pkg/barretenberg/src/circuits/hyli_utxo.rs | 8 ++++---- pkg/barretenberg/src/circuits/migrate.rs | 9 ++++----- pkg/barretenberg/src/circuits/points.rs | 3 --- pkg/barretenberg/src/circuits/signature.rs | 3 --- pkg/barretenberg/src/circuits/utxo.rs | 3 --- pkg/barretenberg/src/lib.rs | 1 - pkg/barretenberg/src/util.rs | 12 ------------ server/src/app.rs | 1 - server/src/main.rs | 14 +++++++------- server/src/noir_prover.rs | 5 ++--- server/src/prover.rs | 19 +++++++++---------- 15 files changed, 33 insertions(+), 62 deletions(-) delete mode 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zQog6_&hOjs|Mk^-f07<5Nk2Fut|+(rw{xT7T@Gh_v@2Sr_?RH0O0!__&&E@c1 kdMx$z9C_9 = get_bytecode_from_program(PROGRAM); - pub static ref AGG_AGG_VERIFICATION_KEY: VerificationKey = - VerificationKey(serde_json::from_slice(KEY_FIELDS).unwrap()); + pub static ref AGG_AGG_VERIFICATION_KEY: VerificationKey = VerificationKey( + serde_json::from_slice(include_bytes!( + "../../../../fixtures/keys/agg_agg_key_fields.json" + )) + .unwrap() + ); pub static ref AGG_AGG_VERIFICATION_KEY_HASH: VerificationKeyHash = VerificationKeyHash( bn254_blackbox_solver::poseidon_hash(&AGG_AGG_VERIFICATION_KEY.0, false).unwrap() ); diff --git a/pkg/barretenberg/src/circuits/agg_utxo.rs b/pkg/barretenberg/src/circuits/agg_utxo.rs index 8773bc9..083921f 100644 --- a/pkg/barretenberg/src/circuits/agg_utxo.rs +++ b/pkg/barretenberg/src/circuits/agg_utxo.rs @@ -4,7 +4,6 @@ use crate::backend::DefaultBackend; use crate::circuits::get_bytecode_from_program; use crate::prove::prove; use crate::traits::{Prove, Verify}; -use crate::util::write_to_temp_file; use crate::verify::{VerificationKey, VerificationKeyHash, verify}; use core::iter::Iterator; use element::Base; @@ -13,7 +12,6 @@ use noirc_abi::{InputMap, input_parser::InputValue}; use noirc_artifacts::program::ProgramArtifact; use noirc_driver::CompiledProgram; use std::collections::BTreeMap; -use std::path::PathBuf; use zk_primitives::{ AggUtxo, AggUtxoProof, AggUtxoProofBytes, AggUtxoPublicInput, MerklePath, ToBytes, UtxoProofBundleWithMerkleProofs, bytes_to_elements, @@ -26,7 +24,6 @@ const KEY_FIELDS: &[u8] = include_bytes!("../../../../fixtures/keys/agg_utxo_key lazy_static! { static ref PROGRAM_ARTIFACT: ProgramArtifact = serde_json::from_str(PROGRAM).unwrap(); static ref PROGRAM_COMPILED: CompiledProgram = CompiledProgram::from(PROGRAM_ARTIFACT.clone()); - static ref PROGRAM_PATH: PathBuf = write_to_temp_file(PROGRAM.as_bytes(), ".json"); static ref BYTECODE: Vec = get_bytecode_from_program(PROGRAM); pub static ref AGG_UTXO_VERIFICATION_KEY: VerificationKey = VerificationKey(serde_json::from_slice(KEY_FIELDS).unwrap()); diff --git a/pkg/barretenberg/src/circuits/hyli_utxo.rs b/pkg/barretenberg/src/circuits/hyli_utxo.rs index 676db97..8d7261c 100644 --- a/pkg/barretenberg/src/circuits/hyli_utxo.rs +++ b/pkg/barretenberg/src/circuits/hyli_utxo.rs @@ -5,7 +5,6 @@ use crate::{ circuits::get_bytecode_from_program, prove::prove, traits::{Prove, Verify}, - util::write_to_temp_file, verify::{VerificationKey, VerificationKeyHash}, }; use element::Base; @@ -22,15 +21,16 @@ use zk_primitives::{ const PROGRAM: &str = include_str!("../../../../fixtures/programs/hyli_utxo.json"); const KEY: &[u8] = include_bytes!("../../../../fixtures/keys/hyli_utxo_key"); -const KEY_FIELDS: &[u8] = include_bytes!("../../../../fixtures/keys/hyli_utxo_key_fields.json"); lazy_static! { static ref PROGRAM_ARTIFACT: ProgramArtifact = serde_json::from_str(PROGRAM).unwrap(); static ref PROGRAM_COMPILED: CompiledProgram = CompiledProgram::from(PROGRAM_ARTIFACT.clone()); - static ref PROGRAM_PATH: PathBuf = write_to_temp_file(PROGRAM.as_bytes(), ".json"); static ref BYTECODE: Vec = get_bytecode_from_program(PROGRAM); pub static ref HYLI_UTXO_VERIFICATION_KEY: VerificationKey = { - let fields = serde_json::from_slice::>(KEY_FIELDS).unwrap(); + let fields = serde_json::from_slice::>(include_bytes!( + "../../../../fixtures/keys/hyli_utxo_key_fields.json" + )) + .unwrap(); VerificationKey(fields) }; pub static ref HYLI_UTXO_VERIFICATION_KEY_HASH: VerificationKeyHash = VerificationKeyHash( diff --git a/pkg/barretenberg/src/circuits/migrate.rs b/pkg/barretenberg/src/circuits/migrate.rs index 9e2328d..7c35f3e 100644 --- a/pkg/barretenberg/src/circuits/migrate.rs +++ b/pkg/barretenberg/src/circuits/migrate.rs @@ -4,7 +4,6 @@ use crate::{ circuits::get_bytecode_from_program, prove::prove, traits::{Prove, Verify}, - util::write_to_temp_file, verify::{VerificationKey, VerificationKeyHash, verify}, }; use element::Base; @@ -12,22 +11,22 @@ use lazy_static::lazy_static; use noirc_abi::{InputMap, input_parser::InputValue}; use noirc_artifacts::program::ProgramArtifact; use noirc_driver::CompiledProgram; -use std::path::PathBuf; use zk_primitives::{ Migrate, MigrateProof, MigrateProofBytes, MigratePublicInput, ToBytes, bytes_to_elements, }; const PROGRAM: &str = include_str!("../../../../fixtures/programs/migrate.json"); const KEY: &[u8] = include_bytes!("../../../../fixtures/keys/migrate_key/vk"); -const KEY_FIELDS: &[u8] = include_bytes!("../../../../fixtures/keys/migrate_key_fields.json"); lazy_static! { static ref PROGRAM_ARTIFACT: ProgramArtifact = serde_json::from_str(PROGRAM).unwrap(); static ref PROGRAM_COMPILED: CompiledProgram = CompiledProgram::from(PROGRAM_ARTIFACT.clone()); - static ref PROGRAM_PATH: PathBuf = write_to_temp_file(PROGRAM.as_bytes(), ".json"); static ref BYTECODE: Vec = get_bytecode_from_program(PROGRAM); pub static ref MIGRATE_VERIFICATION_KEY: VerificationKey = { - let fields = serde_json::from_slice::>(KEY_FIELDS).unwrap(); + let fields = serde_json::from_slice::>(include_bytes!( + "../../../../fixtures/keys/migrate_key_fields.json" + )) + .unwrap(); VerificationKey(fields) }; pub static ref MIGRATE_VERIFICATION_KEY_HASH: VerificationKeyHash = VerificationKeyHash( diff --git a/pkg/barretenberg/src/circuits/points.rs b/pkg/barretenberg/src/circuits/points.rs index e852ee8..3aa2b82 100644 --- a/pkg/barretenberg/src/circuits/points.rs +++ b/pkg/barretenberg/src/circuits/points.rs @@ -4,7 +4,6 @@ use crate::{ circuits::get_bytecode_from_program, prove::prove, traits::{Prove, Verify}, - util::write_to_temp_file, verify::verify, }; use anyhow::anyhow; @@ -13,7 +12,6 @@ use lazy_static::lazy_static; use noirc_abi::{InputMap, input_parser::InputValue}; use noirc_artifacts::program::ProgramArtifact; use noirc_driver::CompiledProgram; -use std::path::PathBuf; use zk_primitives::{ Points, PointsProof, PointsProofBytes, PointsPublicInput, ToBytes, bytes_to_elements, }; @@ -26,7 +24,6 @@ const KEY: &[u8] = include_bytes!("../../../../fixtures/keys/points_key"); lazy_static! { static ref PROGRAM_ARTIFACT: ProgramArtifact = serde_json::from_str(PROGRAM).unwrap(); static ref PROGRAM_COMPILED: CompiledProgram = CompiledProgram::from(PROGRAM_ARTIFACT.clone()); - static ref PROGRAM_PATH: PathBuf = write_to_temp_file(PROGRAM.as_bytes(), ".json"); static ref BYTECODE: Vec = get_bytecode_from_program(PROGRAM); } diff --git a/pkg/barretenberg/src/circuits/signature.rs b/pkg/barretenberg/src/circuits/signature.rs index 74d1ace..f853170 100644 --- a/pkg/barretenberg/src/circuits/signature.rs +++ b/pkg/barretenberg/src/circuits/signature.rs @@ -4,7 +4,6 @@ use crate::{ circuits::get_bytecode_from_program, prove::prove, traits::{Prove, Verify}, - util::write_to_temp_file, verify::verify, }; use anyhow::anyhow; @@ -13,7 +12,6 @@ use lazy_static::lazy_static; use noirc_abi::InputMap; use noirc_artifacts::program::ProgramArtifact; use noirc_driver::CompiledProgram; -use std::path::PathBuf; use zk_primitives::{ Signature, SignatureProof, SignatureProofBytes, SignaturePublicInput, ToBytes, bytes_to_elements, get_address_for_private_key, @@ -25,7 +23,6 @@ const KEY: &[u8] = include_bytes!("../../../../fixtures/keys/signature_key"); lazy_static! { static ref PROGRAM_ARTIFACT: ProgramArtifact = serde_json::from_str(PROGRAM).unwrap(); static ref PROGRAM_COMPILED: CompiledProgram = CompiledProgram::from(PROGRAM_ARTIFACT.clone()); - static ref PROGRAM_PATH: PathBuf = write_to_temp_file(PROGRAM.as_bytes(), ".json"); static ref BYTECODE: Vec = get_bytecode_from_program(PROGRAM); } diff --git a/pkg/barretenberg/src/circuits/utxo.rs b/pkg/barretenberg/src/circuits/utxo.rs index 840fc04..5735335 100644 --- a/pkg/barretenberg/src/circuits/utxo.rs +++ b/pkg/barretenberg/src/circuits/utxo.rs @@ -5,7 +5,6 @@ use crate::{ circuits::get_bytecode_from_program, prove::prove, traits::{Prove, Verify}, - util::write_to_temp_file, verify::{VerificationKey, VerificationKeyHash, verify}, }; use element::Base; @@ -13,7 +12,6 @@ use lazy_static::lazy_static; use noirc_abi::{InputMap, input_parser::InputValue}; use noirc_artifacts::program::ProgramArtifact; use noirc_driver::CompiledProgram; -use std::path::PathBuf; use zk_primitives::{ ToBytes, UTXO_PROOF_SIZE, UTXO_PUBLIC_INPUTS_COUNT, Utxo, UtxoProof, UtxoProofBytes, UtxoPublicInput, bytes_to_elements, @@ -26,7 +24,6 @@ const KEY_FIELDS: &[u8] = include_bytes!("../../../../fixtures/keys/utxo_key_fie lazy_static! { static ref PROGRAM_ARTIFACT: ProgramArtifact = serde_json::from_str(PROGRAM).unwrap(); static ref PROGRAM_COMPILED: CompiledProgram = CompiledProgram::from(PROGRAM_ARTIFACT.clone()); - static ref PROGRAM_PATH: PathBuf = write_to_temp_file(PROGRAM.as_bytes(), ".json"); static ref BYTECODE: Vec = get_bytecode_from_program(PROGRAM); pub static ref UTXO_VERIFICATION_KEY: VerificationKey = { let fields = serde_json::from_slice::>(KEY_FIELDS).unwrap(); diff --git a/pkg/barretenberg/src/lib.rs b/pkg/barretenberg/src/lib.rs index 97efa18..df55493 100644 --- a/pkg/barretenberg/src/lib.rs +++ b/pkg/barretenberg/src/lib.rs @@ -3,7 +3,6 @@ mod circuits; mod execute; mod prove; mod traits; -mod util; pub mod verify; pub use circuits::AGG_UTXO_VERIFICATION_KEY_HASH; diff --git a/pkg/barretenberg/src/util.rs b/pkg/barretenberg/src/util.rs deleted file mode 100644 index 7bf78d2..0000000 --- a/pkg/barretenberg/src/util.rs +++ /dev/null @@ -1,12 +0,0 @@ -use std::io::Write; -use std::path::PathBuf; - -pub fn write_to_temp_file(data: &[u8], suffix: &str) -> PathBuf { - let mut file = tempfile::NamedTempFile::with_suffix(suffix).unwrap(); - file.write_all(data).unwrap(); - file.flush().unwrap(); - let path = file.path().to_path_buf(); - // Deliberately leak the tempfile to prevent deletion - std::mem::forget(file); - path -} diff --git a/server/src/app.rs b/server/src/app.rs index 9464a57..0d1ada0 100644 --- a/server/src/app.rs +++ b/server/src/app.rs @@ -241,7 +241,6 @@ mod tests { use std::{collections::BTreeMap, sync::Arc}; use tempfile::tempdir; use tokio::time::{sleep, timeout, Duration}; - use zk_primitives::HyliUtxo; fn find_hyli_blob(blobs: &[Blob]) -> (usize, &[u8]) { blobs diff --git a/server/src/main.rs b/server/src/main.rs index 64f2b17..8b6c52c 100644 --- a/server/src/main.rs +++ b/server/src/main.rs @@ -110,7 +110,6 @@ async fn main() -> Result<()> { .build_module::(Arc::new(HyliUtxoNoirProverCtx { node: node_client.clone() as Arc, contract: hyli_utxo_contract.clone(), - verify_locally: true, })) .await .context("building hyli_utxo Noir prover module")?; @@ -161,12 +160,13 @@ async fn main() -> Result<()> { .await .context("building auto prover module")?; - let mut router_guard = api_builder_ctx - .router - .lock() - .expect("API router mutex poisoned"); - let router = router_guard.take().unwrap_or_else(Router::new); - drop(router_guard); + let router = { + let mut guard = api_builder_ctx + .router + .lock() + .expect("API router mutex poisoned"); + guard.take().unwrap_or_default() + }; let openapi = api_builder_ctx .openapi diff --git a/server/src/noir_prover.rs b/server/src/noir_prover.rs index c4ca14d..91204eb 100644 --- a/server/src/noir_prover.rs +++ b/server/src/noir_prover.rs @@ -46,7 +46,6 @@ module_bus_client! { pub struct HyliUtxoNoirProverCtx { pub node: Arc, pub contract: ContractDeployment, - pub verify_locally: bool, } pub struct HyliUtxoNoirProver { @@ -60,7 +59,7 @@ impl Module for HyliUtxoNoirProver { async fn build(bus: SharedMessageBus, ctx: Self::Context) -> Result { let bus = HyliUtxoNoirProverBusClient::new_from_bus(bus.new_handle()).await; - let prover = NoirProver::new(ctx.verify_locally); + let prover = NoirProver::new(); Ok(Self { bus, ctx, prover }) } @@ -208,7 +207,7 @@ pub(crate) fn pad_right_with_null(value: &str, target_len: usize) -> Result Self { + pub fn new() -> Self { Self { verifier: Verifier(sdk::verifiers::NOIR.to_string()), - verify_locally, } } /// Create a [`ProofTransaction`] for the provided artifacts. /// - /// When `verify_locally` is enabled, the proof is checked using the Noir verifier shipped - /// with the Hyli toolchain before returning the transaction. The corresponding - /// [`HyliOutput`] values are returned for convenience. + /// The Noir proof embeds public inputs, which we decode into [`HyliOutput`] values + /// for convenience before returning the transaction. pub fn build_proof_transaction( &self, contract: &ContractDeployment, @@ -58,10 +55,6 @@ impl NoirProver { ) -> Result<(ProofTransaction, Vec)> { let proof_data = ProofData(artifacts.proof.clone()); - // let outputs = if self.verify_locally { - // noir::verify(&proof_data, &artifacts.program_id) - // .context("verifying Noir proof locally")? - // } else { // For callers that skip verification we still expose decoded outputs so the API response // remains consistent. @@ -83,3 +76,9 @@ impl NoirProver { Ok((proof_tx, outputs)) } } + +impl Default for NoirProver { + fn default() -> Self { + Self::new() + } +} From ea345c85142b27e9f8ab72d68422396faa5c5af7 Mon Sep 17 00:00:00 2001 From: Alexandre Careil Date: Mon, 27 Oct 2025 15:24:07 +0100 Subject: [PATCH 07/11] add docker rm clippy --- .github/workflows/ci.yml | 21 ++++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 4085eca..3c05a50 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -21,7 +21,7 @@ jobs: - name: Install Rust toolchain uses: dtolnay/rust-toolchain@stable with: - components: clippy, rustfmt + components: rustfmt - name: Cache cargo build artifacts uses: Swatinem/rust-cache@v2 @@ -31,8 +31,6 @@ jobs: - name: Run cargo fmt run: cargo fmt --all -- --check - - name: Run cargo clippy - run: cargo clippy --workspace --all-targets -- -D warnings - name: Run cargo test run: cargo test --workspace --all-targets @@ -57,3 +55,20 @@ jobs: - name: Build frontend working-directory: front run: bun run build + + docker: + name: Docker Build + runs-on: ubuntu-latest + strategy: + matrix: + image: + - name: server + file: Dockerfile.server + - name: ui + file: Dockerfile.ui + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Build ${{ matrix.image.name }} image + run: docker build -f ${{ matrix.image.file }} -t cachecash-${{ matrix.image.name }} . From 2a2877fddc437c6cf684a42f84c4bf59df57642b Mon Sep 17 00:00:00 2001 From: Alexandre Careil Date: Mon, 27 Oct 2025 15:40:20 +0100 Subject: [PATCH 08/11] update ci to push docker image --- .github/workflows/ci.yml | 62 +++++++++++++++++++++++++++++++++++----- 1 file changed, 55 insertions(+), 7 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 3c05a50..c6c33ae 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -9,6 +9,14 @@ on: - main workflow_dispatch: +env: + IMAGE_NAME: "cachecash" + PROJECT_ID: "hyle-413414" + AR_REPO_LOCATION: "europe-west3" + AR_URL: "europe-west3-docker.pkg.dev/hyle-413414/hyle-docker" + SERVICE_ACCOUNT: "github-actions-service-account@hyle-413414.iam.gserviceaccount.com" + WORKLOAD_IDENTITY_PROVIDER: "" + jobs: rust: name: Rust Checks @@ -59,16 +67,56 @@ jobs: docker: name: Docker Build runs-on: ubuntu-latest + permissions: + contents: read + id-token: write + packages: write strategy: matrix: - image: - - name: server - file: Dockerfile.server - - name: ui - file: Dockerfile.ui + suffix: + - server + - ui steps: - name: Checkout repository uses: actions/checkout@v4 - - name: Build ${{ matrix.image.name }} image - run: docker build -f ${{ matrix.image.file }} -t cachecash-${{ matrix.image.name }} . + - name: Docker meta + id: meta + uses: docker/metadata-action@v5 + with: + images: | + ${{ env.AR_URL }}/${{ env.IMAGE_NAME }}-${{ matrix.suffix }} + ghcr.io/${{ github.repository }}/${{ env.IMAGE_NAME }}-${{ matrix.suffix }} + tags: | + type=sha + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + type=semver,pattern={{major}} + type=ref,event=branch + type=ref,event=pr + type=raw,value=latest,enable={{is_default_branch}} + + - name: Docker Auth (Google Artifact Registry) + if: github.event_name == 'push' + uses: docker/login-action@v3 + with: + username: _json_key + password: ${{ secrets.GOOGLE_CREDENTIALS }} + registry: "${{ env.AR_REPO_LOCATION }}-docker.pkg.dev" + + - name: Login to GitHub Container Registry + if: github.event_name == 'push' + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push ${{ matrix.suffix }} image + uses: docker/build-push-action@v6 + with: + context: . + file: Dockerfile.${{ matrix.suffix }} + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} + push: ${{ github.event_name == 'push' }} From bd14197ad910a8c6796b6f6e638da3afc81df6f6 Mon Sep 17 00:00:00 2001 From: Alexandre Careil Date: Mon, 27 Oct 2025 15:58:52 +0100 Subject: [PATCH 09/11] clean unused deps --- Cargo.lock | 26 ---------- Cargo.toml | 99 ++---------------------------------- pkg/barretenberg/Cargo.toml | 2 - pkg/element/Cargo.toml | 3 -- pkg/primitives/Cargo.toml | 3 -- pkg/zk-primitives/Cargo.toml | 6 --- server/Cargo.toml | 4 +- 7 files changed, 6 insertions(+), 137 deletions(-) diff --git a/Cargo.lock b/Cargo.lock index 27b31db..43d789b 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -1521,7 +1521,6 @@ dependencies = [ "bb_rs", "bincode", "bn254_blackbox_solver", - "borsh", "element", "flate2", "hash", @@ -1530,7 +1529,6 @@ dependencies = [ "noirc_abi", "noirc_artifacts", "noirc_driver", - "serde", "serde_json", "tempfile", "tracing", @@ -3011,7 +3009,6 @@ dependencies = [ "borsh", "diesel", "ethnum", - "ff 0.12.1", "hex", "insta", "proptest", @@ -3020,8 +3017,6 @@ dependencies = [ "rand_xorshift 0.3.0", "serde", "serde_json", - "strum 0.26.3", - "strum_macros 0.26.4", "test-strategy", "ts-rs", ] @@ -6076,7 +6071,6 @@ dependencies = [ "async-trait", "base64 0.21.7", "borsh", - "chrono", "futures", "hex", "microtype", @@ -6085,13 +6079,11 @@ dependencies = [ "rand_derive2", "secp256k1 0.28.2", "serde", - "serde_bytes", "serde_json", "sha2", "sha3", "thiserror 1.0.69", "tokio", - "tracing", "ts-rs", "uint", ] @@ -7417,16 +7409,6 @@ dependencies = [ "serde", ] -[[package]] -name = "serde_bytes" -version = "0.11.19" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "a5d440709e79d88e51ac01c4b72fc6cb7314017bb7da9eeff678aa94c10e3ea8" -dependencies = [ - "serde", - "serde_core", -] - [[package]] name = "serde_core" version = "1.0.228" @@ -7581,7 +7563,6 @@ dependencies = [ "contracts", "element", "ethnum", - "futures-util", "hash", "hex", "hex-literal", @@ -9334,7 +9315,6 @@ version = "11.1.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "4994acea2522cd2b3b85c1d9529a55991e3ad5e25cdcd3de9d505972c4379424" dependencies = [ - "chrono", "dprint-plugin-typescript", "thiserror 2.0.17", "ts-rs-macros", @@ -10375,23 +10355,17 @@ dependencies = [ name = "zk-primitives" version = "1.3.0" dependencies = [ - "bitvec", "borsh", "bs58", - "diesel", "element", "ethnum", - "ff 0.12.1", "hash", "hex", "noirc_abi", "primitives", - "proptest", "rand 0.8.5", "serde", "sha3", - "strum 0.26.3", - "strum_macros 0.26.4", "ts-rs", ] diff --git a/Cargo.toml b/Cargo.toml index 53e1d79..dbc134c 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -22,34 +22,21 @@ clap = { version = "4.5.28", features = ["derive", "env"] } tracing-subscriber = { version = "0.3.18", features = ["env-filter", "fmt", "std", "registry", "ansi", "json"] } server = { path = "server", default-features = false, package = "server" } -ts-rs = { version = "^11.0.1", features = ["format", "chrono-impl", "uuid-impl"] } -actix-cors = "0.6.4" -actix-server = "2.3.0" -actix-web = "4.4.0" +ts-rs = { version = "^11.0.1", features = ["format", "uuid-impl"] } acvm = { git = "https://github.com/noir-lang/noir", tag = "v1.0.0-beta.7" } noirc_abi = { git = "https://github.com/noir-lang/noir", tag = "v1.0.0-beta.7" } noirc_driver = { git = "https://github.com/noir-lang/noir", tag = "v1.0.0-beta.7" } noirc_artifacts = { git = "https://github.com/noir-lang/noir", tag = "v1.0.0-beta.7" } bn254_blackbox_solver = { git = "https://github.com/noir-lang/noir", tag = "v1.0.0-beta.7" } nargo = { git = "https://github.com/noir-lang/noir", tag = "v1.0.0-beta.7" } -actix-multipart = "0.5.0" -async-stripe = { version = "0.31", features = ["runtime-tokio-hyper"] } async-trait = "0.1" -async-recursion = "1.1.1" -async-stream = "0.3.6" base64 = "0.21.5" bb_rs = { git = "https://github.com/polybase/aztec-packages", rev = "1a8f9ee136df2184458667f018b496b57226855f" } # v0.82.2-polybase # bb_rs = { path = "/Users/hwq/Documents/polybase/aztec-packages/barretenberg/bb_rs" } -benchy = "0.1.1" bitvec = "1.0.1" -blake2b_simd = "1.0" bs58 = "0.5.0" -bytes = "1.0" -chrono = { version = "0.4", features = ["serde"] } -colored = "2.0.4" color-eyre = "0.6" -crypto_secretbox = "0.1.1" diesel = { version = "2.1.0", features = [ "postgres", "uuid", @@ -58,127 +45,47 @@ diesel = { version = "2.1.0", features = [ "serde_json", "64-column-tables", ] } -tokio-postgres = "0.7.2" -postgres-native-tls = "0.5.0" -native-tls = "0.2.12" -derive_more = "0.99.17" -dirs = "5.0.1" -dotenvy = "0.15.7" ethnum = "1.5.0" -expect-test = "1.4.1" eyre = "0.6" -ff = "0.12.1" figment = { version = "0.10", features = ["env", "toml"] } +flate2 = "1.0.28" file-lock = "2" futures = "0.3.26" -futures-timer = "3.0.2" -futures-util = "0.3.29" hex = { version = "0.4", features = ["serde"] } -hmac = "0.12" -indexmap = { version = "2.9.0", features = ["serde"] } insta = { version = "1", features = ["json"] } -itertools = "0.11.0" -jsonwebtoken = "7" lazy_static = "1.4" -libp2p = { version = "0.51", default-features = false, features = [ - "ping", - "request-response", - "identify", - "gossipsub", - "macros", - "tokio", - "noise", - "dns", - "yamux", - "tcp", -] } -libp2p-core = { version = "0.38.0" } -notify = "6" -num-bigint = "0.4.6" once_cell = "1.19.0" parking_lot = { version = "0.12.1", features = ["deadlock_detection"] } -phonenumber = "0.3" -pretty-hex = "0.3.0" proptest = "1.6.0" -quickcheck = "1.0.3" rand = "0.8.5" rand_chacha = "0.3.1" rand_xorshift = "0.3" +rand_derive2 = "0.1" reqwest = { version = "0.11.22", features = ["json", "multipart"] } -rustc-hex = "2.1.0" rust-i18n = "3" rsa = { version = "0.9", features = ["sha1"] } -sentry = "0.32.1" -sentry-tracing = "0.32.1" serde = { version = "1", features = ["derive"] } serde_json = "1.0.108" -serde_qs = "0.12.0" -serde_yaml = "0.9.27" -serde_bytes = "0.11.14" bincode = "1.3.3" -scopeguard = "1.2.0" secp256k1 = { version = "0.28.0", features = [ "rand", "global-context", "recovery", ] } -semver = "1.0.15" -sha1 = "0.10.1" sha2 = "0.10.6" sha3 = "0.10.1" -spinoff = "0.8.0" -tracing-stackdriver = { version = "0.7.2", features = ["valuable"] } -static_assertions = "1" -tabular = "0.2.0" -tempdir = "0.3" tempfile = "3.20.0" test-strategy = "0.3.1" thiserror = "1" -tiny-keccak = { version = "2.0.2", features = ["keccak"] } toml = "0.8" tokio = { version = "1", features = ["full"] } -tokio-stream = { version = "0.1.12", features = ["sync"] } tracing = { version = "0.1.37", features = ["valuable"] } -typenum = "1.16" uint = "0.9.1" -unarray = "0.1.4" -urlencoding = "2.1.3" -user-error = "1.2.8" uuid = { version = "1.7.0", features = ["v4", "serde"] } -serial_test = "3.0.0" # the `de_strict_order` flag is important for maintaining bijection borsh = { version = "1", features = ["derive", "de_strict_order", "rc"] } -opentelemetry = { version = "0.21.0", features = ["metrics", "trace"] } -opentelemetry_sdk = { version = "0.21.2", features = [ - "rt-tokio", - "metrics", - "trace", -] } -opentelemetry-otlp = { version = "0.14.0", features = [ - "tokio", - "tonic", - "trace", - "metrics", -] } -tracing-opentelemetry = "0.22.0" -x25519-dalek = { version = "2.0.1", features = ["static_secrets"] } -# utilities for deriving stuff on macros -strum = "0.26" -strum_macros = "0.26" -derivative = "2" microtype = "0.7" -rand_derive2 = "0.1" -either = "1.9.0" -flate2 = "1.0.28" -object_store = { version = "0.10.0", features = ["gcp"] } -regex = "1.11.1" -expo_push_notification_client = { git = "https://github.com/polybase/expo-push-notification-client-rust.git", branch = "rustc-1_68_nightly" } -num_cpus = "1.16.0" -mockito = "0.25" -lru = "0.14.0" - -sqlx = { version = "0.8.6", default-features = false } barretenberg = { path = "./pkg/barretenberg" } constants = { path = "./pkg/constants" } element = { path = "./pkg/element" } diff --git a/pkg/barretenberg/Cargo.toml b/pkg/barretenberg/Cargo.toml index 63a02b1..3ddf717 100644 --- a/pkg/barretenberg/Cargo.toml +++ b/pkg/barretenberg/Cargo.toml @@ -19,9 +19,7 @@ nargo = { workspace = true } noirc_abi = { workspace = true } noirc_driver = { workspace = true } noirc_artifacts = { workspace = true } -serde = { workspace = true } serde_json = { workspace = true } -borsh = { workspace = true } bincode = { workspace = true } base64 = { workspace = true } flate2 = { workspace = true } diff --git a/pkg/element/Cargo.toml b/pkg/element/Cargo.toml index 3e5e92c..a52fdc9 100644 --- a/pkg/element/Cargo.toml +++ b/pkg/element/Cargo.toml @@ -8,14 +8,11 @@ acvm = { workspace = true } bitvec = { workspace = true } diesel = { workspace = true, optional = true, features = ["postgres", "r2d2"] } ethnum = { workspace = true } -ff = { workspace = true } hex = { workspace = true } proptest = { workspace = true } rand = { workspace = true, optional = true } serde = { workspace = true, optional = true, features = ["derive"] } borsh = { workspace = true, optional = true } -strum = { workspace = true } -strum_macros = { workspace = true } ts-rs = { workspace = true, optional = true } [dev-dependencies] diff --git a/pkg/primitives/Cargo.toml b/pkg/primitives/Cargo.toml index b1a170c..f0ec90f 100644 --- a/pkg/primitives/Cargo.toml +++ b/pkg/primitives/Cargo.toml @@ -7,19 +7,16 @@ edition = "2024" [dependencies] async-trait = { workspace = true } -chrono = { workspace = true } base64 = { workspace = true } borsh = { workspace = true } secp256k1 = { workspace = true } serde = { workspace = true } -serde_bytes = { workspace = true } serde_json = { workspace = true } rand = { workspace = true } hex = { workspace = true } sha2 = { workspace = true } sha3 = { workspace = true } tokio = { workspace = true } -tracing = { workspace = true } uint = { workspace = true } parking_lot = { workspace = true } microtype = { workspace = true } diff --git a/pkg/zk-primitives/Cargo.toml b/pkg/zk-primitives/Cargo.toml index 34e6f42..fb26644 100644 --- a/pkg/zk-primitives/Cargo.toml +++ b/pkg/zk-primitives/Cargo.toml @@ -9,19 +9,13 @@ element = { workspace = true } hash = { workspace = true } borsh = { workspace = true } -bitvec = { workspace = true } bs58 = { workspace = true } -diesel = { workspace = true, optional = true, features = ["postgres", "r2d2"] } ethnum = { workspace = true } -ff = { workspace = true } hex = { workspace = true } noirc_abi = { workspace = true } -proptest = { workspace = true, optional = true } rand = { workspace = true } serde = { workspace = true, features = ["derive"] } sha3 = { workspace = true } -strum = { workspace = true } -strum_macros = { workspace = true } [dependencies.ts-rs] workspace = true diff --git a/server/Cargo.toml b/server/Cargo.toml index 98cf9e1..9f730ae 100644 --- a/server/Cargo.toml +++ b/server/Cargo.toml @@ -35,7 +35,9 @@ toml = "0.8" ethnum = "1.3" hex-literal = "0.4" tempfile = { workspace = true } -futures-util = { workspace = true } [features] instrumentation = [] + +[package.metadata.cargo-machete] +ignored = ["opentelemetry"] From 0c8ecbd9675773252286942a6da308d2ed046bb1 Mon Sep 17 00:00:00 2001 From: Alexandre Careil Date: Mon, 27 Oct 2025 17:02:43 +0100 Subject: [PATCH 10/11] fix docker ui links --- Dockerfile.ui | 2 +- front/.env.production | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/Dockerfile.ui b/Dockerfile.ui index 5b16b6a..18d4e4d 100644 --- a/Dockerfile.ui +++ b/Dockerfile.ui @@ -10,7 +10,7 @@ RUN bun install --frozen-lockfile COPY front . -RUN bun run build +RUN cp .env.production .env && bun run build --mode production FROM nginx:1.27-alpine AS production diff --git a/front/.env.production b/front/.env.production index 8e0736c..86808e9 100644 --- a/front/.env.production +++ b/front/.env.production @@ -1,4 +1,4 @@ -VITE_SERVER_BASE_URL=https://faucet.testnet.hyli.org +VITE_SERVER_BASE_URL=https://cachecash.testnet.hyli.org VITE_NODE_BASE_URL=https://node.testnet.hyli.org VITE_INDEXER_BASE_URL=https://indexer.testnet.hyli.org From 0382d579bf91334c8281a5e3840fc5043475833b Mon Sep 17 00:00:00 2001 From: Alexandre Careil Date: Mon, 27 Oct 2025 18:25:50 +0100 Subject: [PATCH 11/11] add bb to docker file --- Dockerfile.server | 22 +++++++++++++++++++--- 1 file changed, 19 insertions(+), 3 deletions(-) diff --git a/Dockerfile.server b/Dockerfile.server index 760dd7a..17dcd8d 100644 --- a/Dockerfile.server +++ b/Dockerfile.server @@ -1,3 +1,5 @@ +ARG BB_VERSION=0.87.9 + FROM rust:bookworm AS builder RUN apt-get update && apt-get -y install curl g++ git libssl-dev pkg-config @@ -18,15 +20,29 @@ COPY Cargo.lock . RUN cargo build --release -F nonreproducible -F nobuild --bin server # RUNNER -FROM rust:latest +FROM debian:trixie-slim + +ARG BB_VERSION +ENV BB_VERSION=${BB_VERSION} +ENV PATH="/app/bin:${PATH}" WORKDIR /app COPY --from=builder /app/target/release/server ./ -RUN apt-get update && apt-get -y install ca-certificates && apt-get clean && rm -rf /var/lib/apt/lists/* +RUN apt-get update \ + && apt-get -y install ca-certificates curl bash libstdc++6 libssl3 \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +RUN set -eux; \ + curl -L https://raw.githubusercontent.com/AztecProtocol/aztec-packages/refs/heads/master/barretenberg/bbup/install | bash; \ + bash -lc "source ~/.bashrc && bbup -v ${BB_VERSION:-0.87.9}"; \ + chmod +x /root/.bb/bb; \ + install -d /app/bin; \ + install -m 0755 /root/.bb/bb /app/bin/bb; \ + /app/bin/bb --version >/dev/null EXPOSE 9002 CMD ["./server"] -