diff --git a/profile.io-social-cipher/README.md b/profile.io-social-cipher/README.md new file mode 100644 index 000000000..76d593ff6 --- /dev/null +++ b/profile.io-social-cipher/README.md @@ -0,0 +1,82 @@ +# Profile.io: privacy preserving identity, nationality and age verification + +The Profile.io team are building an open platform and network for individuals and organisations to verify themselves and their online presence, to unlock trusted transactions, including privacy preserving stablecoin payments between users and organisations. + +Using a profile.io user's indentity verification KYC results to prove user's adult verification and/or nationality, gender, any other user's personal information without revealing personal data by using ~~Aztec Connect~~ Noir circuit ZKP. Scoping service for third parties to verify such information privately, either through profile.io/verify or their own user flows (eg. exploring potentially using Frames.js). + + +## Challenge Selection + +- [ ] ZKEmail Guardian +- [x] Social Cipher + +**Note**: You can change which challenges you've selected during the competition if you'd like. You are not bound by your choices or descriptions entered during the one week check-in. + +## Team information + +[Profile.io](https://www.profile.io/) + +## Technical Approach + +We'd like to use Aztec ZKP for proving adult verification (or any other user info) on our app. +~~We have already smart contract that mints NFTs on Polygon mainnet~~ + +The plan is to use ZKP and Aztec Note when user inputs his/her identity including age then the user can use it when the age verification is required without revealing details. +By default, all user information is private. When a verifier request proof, the user can select data that want to reveal and send. Only the verifier can open and see the requested data. + +Here is the user flow: +1. In FE (frontend), a user inputs his birthdate (ex: 20/04/1995) +1. The FE calls Aztec contract to mint a private NFT with the Note which has his birthdate (at this step, PXE creates ZKP when a private function is called on the Aztec contract if I am understood properly) +1. Now the user owns a private NFT that has a note +1. Another user (verifier) wants to verify if the user is an adult or not. So the verifier sends an age-verification-request with his address. +1. The user doesn't want to reveal his exact age but can prove whether he is adult or not by ~~using ZKP (or Note?)~~ sending a note that is encrypted with verifier's address. +1. There is a "request age-verification" button on the UI and when verifier clicks that button -> Calling Aztec contract to request the user's age verification -> If the user accept the request -> FE displays whether the user is an adult or not on the UI. + + +## Some technical questions +a. At above step 2, the created Note is an actual ZKP? I am confused the relation between Note and ZKP? + +b. At above step 6, can Aztec contract retrieve age-NFT data without the NFT owner's permission? Do I need the "Witness"? + +c. At above step 6, if Aztec contract can retrieve age-NFT data (birthdate), can the Aztec contract process calculation of the Note data? For example, `isUserAdult(note)`, `isUserOver50(note)`, `isUserOver70(note)`. + +## Expected Outcomes +* A user should be able to add personal encrypted data and only the user can see the data by default. + +* The user should be able to mint NFTs that contains encrypted personal data + +* A verifier can request to personal information of users such as age, nationalities, gender, etc (For the first implementation, whether user is over 18 years or not). + +* The user can accept the request and send note that only can be opened by the verifier. + +Providing a quick age verification feature. + +## Lessons Learned (For Submission) + +- What are the most important takeaways from your project? + +As a newbie in Aztec world, understanding its concept and implementation were such a challenge. +I'd say understanding how the "privacy" is protected is the key. Many logics are executed in PXE which is in user's device and the proof (ZKP) will be posted +to the on-chain via sequencer. + +The note is another important thing I have learnt. I believe it has lots of potentials since it can be open and close (private/public) by owner. + +I am still discovering Aztec wallet/account. Not sure how to manage wallet/account is the best way. Hopefully I will figure it out soon. + +- Are there any patterns or best practices that you've learned that would be useful for other projects? + +It's not any patterns or best practices but the 'aztec-packages' is very useful source to learn about real Aztec implementations. + +- Highlight reusable code patterns, key code snippets, and best practices - what are some of the ‘lego bricks’ you’ve built, and how could someone else best use them? + +This repo is aming for specific situation. Like minting a NFT with a note that contains user's personal information. +However, this can be useful source for interactions between the frontend and Aztec contract. + +## Project Links (For Submission) + +* The code is in this repo +* We are looking for an opportunity to integrate Aztec contract with [Profile.io](https://www.profile.io) + +## Video Demo (For Submission) + +[Demo link](https://www.youtube.com/watch?v=BBuhFJGYk50) diff --git a/profile.io-social-cipher/aztec/Nargo.toml b/profile.io-social-cipher/aztec/Nargo.toml new file mode 100644 index 000000000..613014e21 --- /dev/null +++ b/profile.io-social-cipher/aztec/Nargo.toml @@ -0,0 +1,10 @@ +[package] +name = "zkpTestContract" +type = "contract" +authors = [""] +compiler_version = ">=0.33.0" + +[dependencies] +aztec = { git="https://github.com/AztecProtocol/aztec-packages/", tag="aztec-packages-v0.57.0", directory="noir-projects/aztec-nr/aztec" } +value_note = { git="https://github.com/AztecProtocol/aztec-packages/", tag="aztec-packages-v0.57.0", directory="noir-projects/aztec-nr/value-note"} +easy_private_state = { git="https://github.com/AztecProtocol/aztec-packages/", tag="aztec-packages-v0.57.0", directory="noir-projects/aztec-nr/easy-private-state"} \ No newline at end of file diff --git a/profile.io-social-cipher/aztec/src/artifacts/Profile.ts b/profile.io-social-cipher/aztec/src/artifacts/Profile.ts new file mode 100644 index 000000000..4a723c0ff --- /dev/null +++ b/profile.io-social-cipher/aztec/src/artifacts/Profile.ts @@ -0,0 +1,160 @@ + +/* Autogenerated file, do not edit! */ + +/* eslint-disable */ +import { + type AbiType, + AztecAddress, + type AztecAddressLike, + CompleteAddress, + Contract, + type ContractArtifact, + ContractBase, + ContractFunctionInteraction, + type ContractInstanceWithAddress, + type ContractMethod, + type ContractStorageLayout, + type ContractNotes, + decodeFromAbi, + DeployMethod, + EthAddress, + type EthAddressLike, + EventSelector, + type FieldLike, + Fr, + type FunctionSelectorLike, + L1EventPayload, + loadContractArtifact, + type NoirCompiledContract, + NoteSelector, + Point, + type PublicKey, + type UnencryptedL2Log, + type Wallet, + type WrappedFieldLike, +} from '@aztec/aztec.js'; +import ProfileContractArtifactJson from '../../target/zkpTestContract-Profile.json' assert { type: 'json' }; +export const ProfileContractArtifact = loadContractArtifact(ProfileContractArtifactJson as NoirCompiledContract); + + + +/** + * Type-safe interface for contract Profile; + */ +export class ProfileContract extends ContractBase { + + private constructor( + instance: ContractInstanceWithAddress, + wallet: Wallet, + ) { + super(instance, ProfileContractArtifact, wallet); + } + + + + /** + * Creates a contract instance. + * @param address - The deployed contract's address. + * @param wallet - The wallet to use when interacting with the contract. + * @returns A promise that resolves to a new Contract instance. + */ + public static async at( + address: AztecAddress, + wallet: Wallet, + ) { + return Contract.at(address, ProfileContract.artifact, wallet) as Promise; + } + + + /** + * Creates a tx to deploy a new instance of this contract. + */ + public static deploy(wallet: Wallet, initial_supply: (bigint | number), owner: AztecAddressLike, outgoing_viewer: AztecAddressLike) { + return new DeployMethod(Fr.ZERO, wallet, ProfileContractArtifact, ProfileContract.at, Array.from(arguments).slice(1)); + } + + /** + * Creates a tx to deploy a new instance of this contract using the specified public keys hash to derive the address. + */ + public static deployWithPublicKeysHash(publicKeysHash: Fr, wallet: Wallet, initial_supply: (bigint | number), owner: AztecAddressLike, outgoing_viewer: AztecAddressLike) { + return new DeployMethod(publicKeysHash, wallet, ProfileContractArtifact, ProfileContract.at, Array.from(arguments).slice(2)); + } + + /** + * Creates a tx to deploy a new instance of this contract using the specified constructor method. + */ + public static deployWithOpts( + opts: { publicKeysHash?: Fr; method?: M; wallet: Wallet }, + ...args: Parameters + ) { + return new DeployMethod( + opts.publicKeysHash ?? Fr.ZERO, + opts.wallet, + ProfileContractArtifact, + ProfileContract.at, + Array.from(arguments).slice(1), + opts.method ?? 'constructor', + ); + } + + + + /** + * Returns this contract's artifact. + */ + public static get artifact(): ContractArtifact { + return ProfileContractArtifact; + } + + + public static get storage(): ContractStorageLayout<'balances' | 'is_adult' | 'profile_nfts'> { + return { + balances: { + slot: new Fr(1n), + }, +is_adult: { + slot: new Fr(2n), + }, +profile_nfts: { + slot: new Fr(3n), + } + } as ContractStorageLayout<'balances' | 'is_adult' | 'profile_nfts'>; + } + + + public static get notes(): ContractNotes<'ProfileNFT' | 'ValueNote'> { + return { + ProfileNFT: { + id: new NoteSelector(4239572523), + }, +ValueNote: { + id: new NoteSelector(1038582377), + } + } as ContractNotes<'ProfileNFT' | 'ValueNote'>; + } + + + /** Type-safe wrappers for the public methods exposed by the contract. */ + public declare methods: { + + /** compute_note_hash_and_optionally_a_nullifier(contract_address: struct, nonce: field, storage_slot: field, note_type_id: field, compute_nullifier: boolean, serialized_note: array) */ + compute_note_hash_and_optionally_a_nullifier: ((contract_address: AztecAddressLike, nonce: FieldLike, storage_slot: FieldLike, note_type_id: FieldLike, compute_nullifier: boolean, serialized_note: FieldLike[]) => ContractFunctionInteraction) & Pick; + + /** constructor(initial_supply: integer, owner: struct, outgoing_viewer: struct) */ + constructor: ((initial_supply: (bigint | number), owner: AztecAddressLike, outgoing_viewer: AztecAddressLike) => ContractFunctionInteraction) & Pick; + + /** get_profile_nfts(owner: struct, page_index: integer) */ + get_profile_nfts: ((owner: AztecAddressLike, page_index: (bigint | number)) => ContractFunctionInteraction) & Pick; + + /** mint(amount: integer, owner: struct, outgoing_viewer: struct) */ + mint: ((amount: (bigint | number), owner: AztecAddressLike, outgoing_viewer: AztecAddressLike) => ContractFunctionInteraction) & Pick; + + /** mintNFT(to: struct, token_id: field, is_adult: boolean) */ + mintNFT: ((to: AztecAddressLike, token_id: FieldLike, is_adult: boolean) => ContractFunctionInteraction) & Pick; + + /** update_is_adult(amount: integer, owner: struct, recipient: struct) */ + update_is_adult: ((amount: (bigint | number), owner: AztecAddressLike, recipient: AztecAddressLike) => ContractFunctionInteraction) & Pick; + }; + + +} diff --git a/profile.io-social-cipher/aztec/src/main.nr b/profile.io-social-cipher/aztec/src/main.nr new file mode 100644 index 000000000..a1f202e2c --- /dev/null +++ b/profile.io-social-cipher/aztec/src/main.nr @@ -0,0 +1,120 @@ +use dep::aztec::macros::aztec; + +#[aztec] +contract Profile { + use dep::aztec::{ + note::utils::compute_note_hash_for_nullify, keys::getters::get_nsk_app, oracle::random::random, + encrypted_logs::encrypted_note_emission::encode_and_encrypt_note, + note::constants::MAX_NOTES_PER_PAGE, + keys::getters::get_public_keys, prelude::{AztecAddress, PrivateSet, SharedImmutable, Map, NullifiableNote, NoteHeader, PrivateContext, NoteViewerOptions}, + protocol_types::{constants::GENERATOR_INDEX__NOTE_NULLIFIER, hash::poseidon2_hash_with_separator, traits::{Empty, Eq}}, + macros::notes::partial_note + }; + use dep::value_note::balance_utils; + use dep::easy_private_state::EasyPrivateUint; + use dep::aztec::macros::{storage::storage, functions::{initializer, private}}; + use dep::value_note::value_note::ValueNote; + + // TODO: remove from this file and import from outside + #[partial_note(quote { token_id})] + struct ProfileNFT { + token_id: Field, + is_adult: bool, + npk_m_hash: Field, + } + + // TODO: remove from this file and import from outside + impl ProfileNFT { + pub fn new(token_id: Field, is_adult: bool, npk_m_hash: Field) -> Self { + ProfileNFT { token_id, is_adult, npk_m_hash, header: NoteHeader::empty() } + } + } + + // TODO: remove from this file and import from outside + impl Eq for ProfileNFT { + fn eq(self, other: Self) -> bool { + (self.token_id == other.token_id) + & (self.npk_m_hash == other.npk_m_hash) + } + } + + // TODO: remove from this file and import from outside + impl NullifiableNote for ProfileNFT { + fn compute_nullifier(self, context: &mut PrivateContext, note_hash_for_nullify: Field) -> Field { + let secret = context.request_nsk_app(self.npk_m_hash); + poseidon2_hash_with_separator( + [ + note_hash_for_nullify, + secret + ], + GENERATOR_INDEX__NOTE_NULLIFIER as Field + ) + } + + // TODO: remove from this file and import from outside + unconstrained fn compute_nullifier_without_context(self) -> Field { + let note_hash_for_nullify = compute_note_hash_for_nullify(self); + let secret = get_nsk_app(self.npk_m_hash); + poseidon2_hash_with_separator( + [ + note_hash_for_nullify, + secret + ], + GENERATOR_INDEX__NOTE_NULLIFIER as Field + ) + } +} + + #[storage] + struct Storage { + profile_nfts: Map, Context>, + } + + /** + * initialize the contract's initial state variables. + */ + #[private] + #[initializer] + fn constructor(initial_supply: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) { + // leave it in case + } + + // TODO: requester might not need since there is msg.sender + #[public] + fn request_age_verification(target_user: AztecAddress, requester: AztecAddress) { + // WIP + } + + #[private] + fn mintNFT(to: AztecAddress, token_id: Field, is_adult: bool) { + let profile_nfts = storage.profile_nfts; + let to_keys = get_public_keys(to); + let mut nft_note = ProfileNFT::new(token_id, is_adult, to_keys.npk_m.hash()); + + // TODO: sending an event to the NFT owner after update storage. Is this meaningful? Can it be a proof? + // TODO: emitting event is a way to send message to someone? + profile_nfts.at(to).insert(&mut nft_note).emit(encode_and_encrypt_note( + &mut context, + to_keys.ovpk_m, + to_keys.ivpk_m, + to + )); + } + + // get nft note info such as token_id, is_adult + unconstrained fn get_profile_nfts(owner: AztecAddress, page_index: u32) -> [(Field, bool); 10] { + let offset = page_index * MAX_NOTES_PER_PAGE; + let mut options = NoteViewerOptions::new(); + let profile_nfts = storage.profile_nfts; + let notes = profile_nfts.at(owner).view_notes(options.set_offset(offset)); + let mut owned_nft_ids = [(0, false); MAX_NOTES_PER_PAGE]; + + for i in 0..options.limit { + if i < notes.len() { + owned_nft_ids[i] = (notes.get_unchecked(i).token_id, notes.get_unchecked(i).is_adult); // returns as [token_id, is_adult] + } + } + + (owned_nft_ids) + } +} \ No newline at end of file diff --git a/profile.io-social-cipher/aztec/target/zkpTestContract-Profile.json b/profile.io-social-cipher/aztec/target/zkpTestContract-Profile.json new file mode 100644 index 000000000..8fe46d0ee --- /dev/null +++ b/profile.io-social-cipher/aztec/target/zkpTestContract-Profile.json @@ -0,0 +1 @@ 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","brillig_names":["get_public_keys_and_partial_address","random","decompose_hint","notify_created_note_oracle_wrapper","get_key_validation_request","lt_32_hint","lte_16_hint","build_msg_block_iter","pad_msg_block","attach_len_to_msg_block","build_msg_block_iter","emit_encrypted_note_log_oracle_wrapper","directive_invert","directive_integer_quotient"]},{"name":"compute_note_hash_and_optionally_a_nullifier","is_unconstrained":true,"custom_attributes":[],"abi":{"error_types":{"12265343917440897559":{"error_kind":"fmtstring","item_types":[],"length":20}},"parameters":[{"name":"contract_address","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"},"visibility":"private"},{"name":"nonce","type":{"kind":"field"},"visibility":"private"},{"name":"storage_slot","type":{"kind":"field"},"visibility":"private"},{"name":"note_type_id","type":{"kind":"field"},"visibility":"private"},{"name":"compute_nullifier","type":{"kind":"boolean"},"visibility":"private"},{"name":"serialized_note","type":{"kind":"array","length":6,"type":{"kind":"field"}},"visibility":"private"}],"return_type":{"abi_type":{"kind":"array","length":4,"type":{"kind":"field"}},"visibility":"public"}},"bytecode":"H4sIAAAAAAAA/+19C5hlV1Xmrq53dXe60k066ap0+lS6UpXq533VqxP4wkuEIH7wKQgOj3p1JrwiJAHRUURRhFEHCUReggPIw3mAIw/hQxFmiICDCCoz6AgKoigfIAgyyqhTp/v+df/733X2OWffu291lPt9Sd0+Z7322mutvfbajzvgLn4u2/5voPl9uPl3xHV+AHNT82+lu0+1h7QqMeUcuJfIuedeIufgvUTOoR7KmcqmPtVreYcj6LXXMo7cC2QcvRfIOHYvkHH8XiDjhOutj0PGoeb3vdv/7dv+b7+7OM52vOSGpQF8sPk+debUWVJjTDs7VeYEwWcx+DLRw+fKwdb3I82/93/mM9eek9z69M2tH0xuu/OO5Lbzyfptdz5983ZGPBaKOB+K2CDEq5t/1+64Y+tpP3BHcsdtydrmZvLsW+/4t8ltz9p65vmn3vZsxn1gKNPvDUXc6ELau7rAfW2owG8KRXxrKOJ7u2jm/qFApleEIh4NRTwxFN7M1VCmN4ciPrYLaV/YBe7LQgX+xVDEXw5F/G9dNPO+w4FMHxyK+F2hiI8bDm/mraFMfzgU8YVdSPvuLnA/GCrwR0MR/zAU8bNdNPPLoUz/LhTxn0IR946EN3NqJJDpqVDEc11I++QucJ8VKvCPhiL+VCjiXV008/+FMh0aDUTcF4p4ZDS8mdeHMj0XividXUj7g13gPj9U4J8JRXxpKOJ/7KKZbw5l+o4umL47lOmHumD6sVCm/6cLpn8ayvQrXTD9u1Cmg2PhTEfHApke7oLp0VCmJ7pgeiaU6X27YPrQUKaPDEV8bCji+S6aeWco0xeEIr6sC2k/2AXux0MF/lQo4p+FIn65i2b+QyjTPeOBiBOhiFeOhzdzLpTpSijid3Qh7bO6wP3xUIFfFIr4klDE13bRzDeGMv21Lpi+K5TpPV0w/Wgo0z/qgumnQ5l+qQumXw9lOjARznR4IpDpfbpgOh3K9PoumJ4KZXpDF0wfEMr0oaGI39OFtHftC2T6qlDE14civm1feDPfF8r046GIn+lC2gP7w3Gn9wcKfDwU8WQo4koXzXxhKNOfD0V8RSjiG7to5jtCmf52KOIfdiHt8GXhuJdfFijwkVDEmVDEM100892hTN8fivjhUMRPdtHMz4cy/WYo4vCBcGkXu8C9/4FAgR8aivjIUMQndNHMJ4cyfWYo4g+FIr6gi2beHcr0zaGI7+xC2r/oAvdroQL/QyjinslAxAOT4c38wVCmPxaK+NOhiC/roplvCGX6zlDE/9GFtF/vAtddHijwWCjiZCji0cvDmzkbyrTaBdPFUKYP6oLpzaFMv68Lpv8mlOlTumD6zFCmz+2C6U+EMn1JF0xfEcr0jV0w/ZVQpu/ugukHQ5l+NBTxD0MRP9tFM78aynTwYCDi5QfDpb1/F7jfFSrw94YiPj4U8cldNPNZoUx/NBTxp0IR7+qima8LZfr2UMQPdCHt17rA/adQgUcOBSJeFoo4fSi8mdeGMj3bBdN6KNMHdMH0oaFMH90F08eFMr21C6Y/EMr0R7pg+rxQpi/ugukvhDJ9QxdM3xzK9F1dMP3NUKYfDEX8vZLS7hwG+6smYroWu6f5LH3Xw5OuVVrn7S3tlcXaeFP2CHKv8wG7HtOupHsCHzjW0r0jXun5qIc03+HvQPO//c33jvD3u9bhvwfRM+ykfzA9w77o76Bn2J/4EJJnLEp/NVYi9tfSftd+IBJt2RuH3/KA8KLzQTs8J1w0G7pwC8Fe4Q9e8OUL9tLszDF6NjTWLucFexF7TP+Z0PsxahPen5S2sSyDIktKdziGLlYaWyntkRi0K5UG63DI0OGwocMRQ4dpqH2E0EnlHh2LIveF08djJOMQ8YKcewhmjOQYpn+fcK3n47SBcIj0ArppfXwEdjSWjTckeJMEM0J4o4I3SnJfgN3+b6b5fa/rPBR9U/NvJfBzfmO9tr5VWwf9C7pzrf4Fr0y+aysby7WtpcpmZft/5xc3VyqNxcbqZmPlfL3SaGxWlqqNyvrqytbmcnV5bXV9sV5bO79Ur2xUF+uV5dULY+e+Hran+WmkdPcbdKu11fXzm9XNtcXG+nJlqba5tL7YaGwtb9WX1lcry/Wl+mLl/NL59bVKtVZb2WhUt1tXWV1drKyeX1yuVC/44WU9l7e+mNLF2gvGwh7popLqgYryO/15OfHrZTzxjRvgOUEyxRg3Lhf+4MXjxkGRaZKe7SPZDgqtg0Ir1SXlpz3rN5bnUAl5LDzu7zYZtzbXq1u11fpGfWNrtbp+fqPS2Nr+ura2WNmsbSw2qufXVjcrq6kfbK03KvWt8+vVjfNrtY31en1x+fw48eq1HaW070O0e+gT1bT/r3Dtn5Tf4Uht8fkEeE6QTDF84rDwBy/2iStFpkl6dhnJdqXQulJoMd6hLvHi9Uu1Mi4y9YZupZ7SvcqgW603qptLy4vn1yr1ytbGVr1ara9tLtY31uqN7XGpvl5dXV/aWl1eqlUaS8vbzxrVxkqtsdHYXFrb3Lo4ThyJoouLMk/FoF29OAZNu/ZPyu/qOG3x+ht4TpBMMfztauEPXuxvR0WmSXp2Jcl2VGgdFVqMd6hLPO4XF66Tuj4YF3kK0q3mvL9A9xpqc69rO8cMmbeT29rS1lJjbWtr249XV1c2qvWNlY2trY3Ntfra8vJKZXlzfWvbs2vrG7Xz9fXzla21rZXF6vp22lndzn7Tvk9c+yflNROnHV5/AM8JkimGP8wIf/Bif7hWZJqkZ2zX1wqta4VWL/G4X5zrbQ7C8oDXcZK3h32w6LMB8JwgmWLYwHHn13+qk1mRaZKecV/OCq1ZobWbeIif3J/p56bm30o3n+rFmDdr0N1OJ6qLS2uVpZXzS9sRuFavNSobq0vrjXTGu9xYWtoOS/X1leVqdWOxtp3UbycX1dpadXF9o1JvbK0tpXSvozb3sP8v1LLnLF00tufa9WpjeX1pZbvmXdncWKltrawtLq6tLtY2G5vna5Xa4tL5rcrian1ztbG6/Xh7Xr62XbyorK2fr17IieYNurWV2uLG8urGxtLa4sb6+tbW+eXtLGrlfHV9aa1aW69vN3ytXl9pNCprW+e3Jzf11e1ixcrGyuq2KNvToNWU7vVxdFFJayyot3xfs7CS1lyeR3azYOkq8FPf3FpeqS2tpjRQ7+I6zwI9w/s/dS25fpLkmied9O4G1ov6notCe3lZ7bqHcjfYF3tLu3Yhb+b4gT6IE6Or3jECPCdctDGqao3R4MVjxIzIlOokidIHi4uTxI95aD4zI3Jy7thbmZa2WKZjJWW6Jo5M6yzTNSVk6qYtR+O05TzLdDSwLXN90AHjzfaZXxm96Fy/h7G9wTJdXVKm6SgyLbXFjOlA/Yb2Z1kdTEXRwfIqyzRVUqYjcWSqsExHAvXb7/6cD8TjfOdawkn/jbUm1NeHCebjzb/7hV/64bpmj3OPpQHhxbnHVSQTvnPdgmXq5lb47RnB8nbJdXuuUN1eAaxe2ANxlciEf+8hnlrX1pwlYg27bf3+StIT1qBZd1gXhyy8fs+18F7L6NMjeE7SM5535ek/XX+CLRymtl7v2j+aI/artgKeEy7afPJC3pwI/+tFT1xvBmwv68b9xkvbgzk02prOVb860nrPc2jwcsLLGbyAlzT/pvHyhDwboGegdcKgBfgTJPeIIfcXDLrY1wL4I/QcMPej+sEXSV6d2x8w2jVAz2CTC542LBh4TmTcY7TDCe3rSaak+f2EB8+ifVJggHMN0Qa/kx48i/YpgQHOdUQb/ADL/eqIlhNaTvjtF5nK4J0KxDsdiHcmEO9sIF4lAC+1V/RDQs+g4wV6Bv2doGfQzSA9OyP80mdo0zA9g7zXUxuqrv2TjkM112pP78aBWtWnH/CcIJlijEM14Q9e6J90H0qadybNf0+JfHh+QXlMDAJnNZANAHg8WNQDadUNWo1AWsCbIVrYA8iDwTUDLbqLzecYDAB/mJ4D5koaDGaaNA4QDvRygL6zXuok81HBca693WMe/FSmRHCG6f31Tdl4MxM+WYujoNNPpwHP2IujDeEPXuo0CF5TIl/CyuvWOGM5zWIgLeCx0yCqsNOsktMsNZ/DaQDPTgOYvxlv0biRnCZpvodeDtD3PKfhPuB2Jx78VKYFwWGneWCO06h+eRWpn04DnhMkUwyn0QwUvNRpMLpPiXyJI+V1O1WI5TRLgbSAl+c030NOs9x87nMawHyYnOYx5DToBGvakec03Afc7kUPPk+F2Onx/gk5TnNCno0TnX46DXhOuPapUK+dZkn465QVToO0dkrkSxwpr1vjjOU0y4G0gJfnNLeR06w0n/ucBjCvI6d5JjmNGvAB+p7nNNwH3O4THvxh1+pgdnq8f06O06h+o519qlQ2fX0HnhMkUwynGRb+4MVz1brIxLbJa2x1oVUXWow3G4h3IBBvPhBvf5/lvDwQ76o+yzkXiDfRpZx8PhafcYLrsY+s+nyU2xQpRlQtPQ2LnlKdrIhMk/SMzwSvCK0VocV4tUC8JBCvEYi3GIi3EIh3IhAP45mVE4wTXI9tyLtHGjwnXDQfqlp60nEmbf9qHP4bKb1zwn/Y4H9DHP4rKb0bhb/GusubfQA9QReQG7KBziDJmuTQttYdgMPrFdAJr+eE5K5cYbjWI2cieLxHPSEZGA+08mSwJkBF8UJKszwZ5DbrTN5agwL8QmRa0yVpTUeUi8f2aXqWCP30ma5/cRn8gCGb1c4B17t2DpRoZ9Y8648LVPSuo+eAmaJ51qeN4gSP2RhPsTdmkdoHuoD5bM68aMlow597SvmA53VdwHyV7lr4S6MNCfHVim/EXG+xaK4Xp1xv53pa+UvbH2mNq2GNEw3hn45TB0lOyHKCcJxr2RH7dIOewU75HDTgsniznQEGODyOgTZgQ1cOLpVxLGR1IXT8S9uMPuU2VwVP1z65zdXItCZL0pqMKBevLk3S30To82oPj2MnSCaVzWrngOtdOwdKtDNrDLhqT4sW14l4DOBxDDC30hgwvaclL96fMOQdEj48jgHmWJNWmXFspkAbjhhtuInaMEtt+PY4tvvjmOakRcexBcJxLn8cg53GGMdAm3Mr3Pm21CSW2l6j+Z3t+5Brvf/sSItmg57jGb6fpGf4foqe4ftpeobvZ+gZvp+lZ/hecS1Z8R2feD7hX6Bin6hE4W/7BHjpAhX6aErkSxwpr5eLStVAWlWDVrerzTNEC4bPwfoRFKyT5nMEa8DzAhVgjlCwfiQFa3QCDyoaFPg7L1BxH3C7Kx58nnTx4VS8/76cAUz1eynsH4qzFcPeP6STbjgNgljf9g/10mmSQFrAy3OaW8lpsBrgcxrAfG20ReOp5DToBGv/UJ7TcB8k9H3Bg88nuhN6hve35zhNIs/iZR9+pwHP2JvudCYDXuo0GOWnRL6ElddLQx8LpDVm0BoNpAW8PKd5PjkNaPmcBjC/Q07zAnKapPnemp6xXsZI5qOC41x7uxMPfirTScFh5/65HKdR/Y67zmtjb2r+u9LVx+804DlBMsVwGj0+AV7qNEhvp0S+xJHyplz7p6hxAo8NPeQMBZ8L6KUD5jnNa8lpAOtzGsC8gZzmdeQ0OG8IvRxwnYrn7+w03Ad8Duu4Bz+V6YzgsCO9JcdpjsqzcaLXY6P17k0AzwnXfp69105zRvjr+Ta2X8CybfJ8Sx3wpNBivHog3kIgXiMQLwnEqwbiHQ/Eg69YZ6HiBX7/3gQO/JF8yAz81t6EmTj8L+xN0PtLjxr8o9zr39ybMCr8zwh/7E2AnqALPmvtiI5vb4LSTmGmBAY4XAubbX7n+xb47Fr631nB20O02H64LPC+prDpuPMxqqOF7nvo1bpCaOIderYw9Awk1wq5zUViD+BPRqY1XZLWdES5svY9qN3wmUteL+I6q8pmtXPA9a6dAyXaydUWzg+/tqeTLvJDwPN6EWCWyU+/sadTXvZvruEPSPtAFzB/n5PPWW34VoE2HDHacBm14Z+oDVo5ydofGKk27V0vAs/Y+wMrwl/XTGLnILpeZO3PO0hyaj5prRehP3lPLuyU14uqObytMqjuKeJ1F8DyHA3vUtt7/2ALx8rDuSzNfcG2DpiDZNNVgy4XO7TCp/ci9rpPZzPaMUfPAXNVU3YrDjAt5+wy9IBrvwN0iHC4SjovMliHyCLqpZ7SO15AL4BJcvRyPEAvxw29zIoMzrX7JPQGOL2vs9e2k6WjeXoOmOs9OuI7jE6S7ENxfjtoMSX7B4davHd8gPhpnwGG+2xeYLTPJgmG93TCt0GT44KVM4Ee36u4QLh58WcxR/eKy+O3VVuLd7L4ou85aT8+fLI40jhnnizWXC7VidWveHaaZFMbmRdajNcHv61xrPH5LWAelBPbNG6priwdAIdj24LIkJW3zhGdrLwVMDd7ZM8a15k+t+eIQf8WGte/2xjXebl8XngdIDp4FrGGUuc6A/od/LkGDZhHXzrxuqHxemfcIX4JycexmO1wRmCAAz1MEgzvc8d7rhuq3c8Jv0mCn/PgwS44tnMcZhj2W8BsevqJ59F8n35F6KV8Xtykw/G+bXWcxieOE1k+Api7yUeeWtBHeI7H+ko/4273fyMhUt5p/kaCjhcRY0TD8iO1a8zxICdkSQjHuZY9cr/ymK3jmzUuAn6+IC0XSGuuJK05obXb8XDHHz3xUNvhi4fXU1uteKhjtZUzWed+5j205krSmhNa1jl2zrU5xmvNkONfjPz7pQH599eo9qW5g5XDqX1znvJKisHvHuyky/WHOXnWr3ij7bBykl/KyUUT+rcVu3w2z3mkxjbWSz2+Xi7kascK6AUwb87Ry7EAvRwz9JKIDM61j8879ZDm33EXbQdXw6ejhJ4D5m0F89l5kr1f9Qcrn9U+s/LZRGC0z3j3I8c/+DZoclywxkDQ4/jHuWNe/PmNHN0rLuebXJ+dpffvJ3nrJGvWGieecX1+mJ6/Y6hF+4PEO2R9kbdM8xqR1u91bzuvEfnOABSRoZt7V0PXOFH34DafFrzTgsdtPh2Z1mRJWpMR5WI/5DNxajfpM/Rj3hqnr50Drlw7J412TgqtSU878Y7X6druux7slBFxHPC8xgmY0+SnX6RcBjhcKwIOakXWmTjAfCUnRln7+L5qxCDdx2ediRuiNnyd2gAc9n1rjTPSmTDv/Jd3Zcdc49R1PutM3Nk4/BuWL2etcUJOyMK25lz7Gqcen8la46zk8B5wnWfigGOtcVpnu3mN85UjLZy6tMfyS72Ikf1njGx6fqiTLtc9T8uzfq1bazusudplTdmzcmmdm2o8teaPeqsrnxM8aeilGl8vdauOZ+kFMIdz9DIfoJd5Qy8LIoNz7T4JvQEu4lpUw6cjtqmdGq5HRzzH4Dlkv+YY0BvPMbTPAMN9pvaufcbHEjn/gG+DJscFHi9BV8/9c/wZcfnx52SO7hWXx+/9rvM3EWL7npP248P7eU/H4W/u51V/5WOUPJ/Es1MkW5F6ncbAiH5bs/wW/W757bkexLYsP+GcU/dDWWfDmR/yVs7LVfb7e2Rn+mcz6HN7rPWbx9O4/uChTrrW3iU+0z4vz9J+nyVZeu1XuidF19Z5T8rDC8br0yR7v2r6O/Vdz54Uq443KzDA4Zo4YKw9rVyHL7J3d05o+fIfju1c62EYK/d4nKefsmr8Z4VeyuenmnQ43vN87ok0PmnOaPkIYH6GfGS9oI/wHI/jS/qJuLfNO8cDzwkXbf9JlWuH4K/jRcQY0bD8SNfGMMeDnJDlOOE4177GqTkQ29CAyx4XAb9QkJYLpNXtWt1ux8Mdf/TEQ2tfZVY85DVOKx6qLovW+bTvmNZ8SVq6n4xjHa97VoS+VTPk+Oerc/j2odRFHt6H8qKcsVRxuQZo5Q5WDqd9wmPEiykGv3Woky7XH3Q9tV/xRtth5SR35+SiebHLZ/NskxrbrPXg2LnajMvXC2Bek6OXGVdeLzOGXo6LDM61j8+6FyzifqSGT0dsU4B5Y8F8lmsn/ao/WPms9pmVz6q9a5/xPjuOf9Yet7ca+R3ogp4vR/XFn1/L0b3icr6ZfvgWF8Aeomd4f/dIC//XKZ8NWSPkO8d4nees4J0VPF7nwbt+rzda+9KLthl9wG0ukhMBfiEyrUvtDuqKyMX5Ba/3oR95nVL3Z+e1c6BkO6eNdk4LrWlPO/GO1/rb7qD2zAmtO6h31hHITz9N+QhweL6s65Q8XwRdwHy2YJ2z7Q5qakNV2mCtUwLm88MtGn9ptIF9X+NPOrZEuo/AO4flOz0inQU17/TQ8+pp+yPVb82zmLqXBHNYyKnjj85h2acr9Ax2yuuUZ3N4s50BRvfkWOcf7+3jWOhdBAsBeN/eb1NOLh7HeL+NNY6hH3kc4zFHZbvU9ttYY8BVwy1aiAk6BvA4BpjH0xgwPdySF++t+siQ8LHGsWNNWmXGsZkCbThitKFBbZilNgCHfV99OI3jkcaRwncKxPy9bt1zYu23iTSOm/ttdBzVOwV0PPONY7y/DnbqG8eU94Dr3G9jjWO6tsn1Lp7vvZz225wRGVkXatNs64BZIZt+jOGXvAana4Cx99uU2VdyP08cYFrOdbevxLffpg/7kOq87uHTC2C+I0cvcwF6mTP0ouepnLP32/C+eF7777XtZOnoFD0HzCNyxhDUu86Q7P2qd1lnsrLOfnKfnRIY7bNJ13nHPMc8rlk9xhgvQbfMfhsr/nx/wfGb9xti/LZqPhHnS979NuAZ+/48Hef0jje2Ge5XPGOfK3OnAJ9H7OedAuh/6zzIk0vGNus+vKw7BTi26bpbVt6qdwpYeStgnuGRPWtcZ/rcHutOgZ+lcf1OY1y31rHyzu9FWp8w13B0fYTXJ/7dpROvG0XugJkh+YacfQdM1voE70Upsv5m2b11p8Cs0PeNKxzbOQ4zDPstYF7k6SeeR8/SM92Dk/J5pxHveT73H2h80pzR8hHAvJd85CUFfYTneKyv9BNxndM7xwPP2HcKzAp/606Bfqxhgn/WnQKQU8/f6hyP+9XaNzngssdFwM8XpOUCafXyToHdiIdW/jqT0w5fPOT9NlY87NUeGaY1V5LWnNDK21tjnanl/TbvjJh/vycg/76KYqXmDlYOp/bNecpvUQz+jEGX6w9z8qzfeybQDisnuScnF82LXT6b5zxSYxvrpRJfL+b9T5ZeAPO7OXpJXHm9JIZeZkQG59rHZ+gNcP2+j+KM8GcdfbJgPrsbdwpY+WxC8mXls2rvwOHfJbByXPg2aHJcsMZA3SvA8WfE5cefz+XoXnE53+Q1bOu8sM5hrb05f0Xxb2ykk25e/TXSXLxRdi7+lR7UGYvMxXUfclb9NZJe6pwH+/QCmG/m6GU2QC+zhl4073OuPVeB3gAX8WxAw6cjtinA/HPB+Me1iH7FP2u/uPaZtV9c7V37LCtPhG/zeg/iwoDLPtdeJP+z4s++Ju28/K9KNLEPyNpzENv3nLQfH/CM/ROJ6ova91wX4Fxf+7ponUZjYES/rVl+q/UY9ttpj+106ydci9S5sHW+m/mh/qp7LVj2az2yM/0zGfS5PUcM+vejfXtzI510ubY0J7w4z+c5e6R81czpNV/mfPV0Tszo4/7w6He6cm0SMFadhudbReo0utfcl/9wbOe8mGGs3OMGTz9xTYLvdLXy3VuadDjec/31JhqfNGe0fAQwTyMfeWBBH+H6K8eX9BNx3lv4TtdI9V/zTlcdL/o1pwV/nfeF3OmKNljraAMue1zUfDaPlgukNVuSlq6r7HY83PFHTzy0ai5Z8dC60zVG3ZppzZakNSu0rHM8Vq3BOnvA8Y9zCvDXei3LOCIw1nmfp+SMpYqbguMsgZU7WDmc2jePEc+gGPzikU66XH+YlWf9rqGhHVZO8uycXDShf5etWXEead3pClqV+Hox73S19AKY5+bo5ViAXo4ZeklEBufax2frTteYtfssHXGNGjAvKJjPcu2kX/WHBPJ67nQFjK9mrn3GOSjHP/h20vzLccEaA0HPl6P64s9Lc3SvuJxv8v7YRXr/cnqP++r4vqZXGvj4pH37r+leRL0bcN/2f1c2v9+ydcfNW8959NpTb91cu+PW257+qK1n3Ll1+x0DJF5VmsLvspq7h56N0PdDxnv+FBE/hdGt6MDBFOQA8eXrU/41/gzp2QA83iLDbdalad1ux20+E5nWFSVpXRFRrvRZXeTipX4+eoN+5CNDnIKpbFY7B1y5dl5htPMKoXWFp514l3Xc5p6RThmLHBm6erRF48OUmiKkn3WddFH645+EUrofLVjy5jZ8jNrQyGgDlzgA87eUXn+C2qBldR6q8EmHokhDgXcoAs8J1/5T7L0eirKubuRyRqQjUw3Ll/VnUFHO0Ktn2dacs3+GlH+6D3bKR4bwPYu3NYYAh48M6RGl1I6Wmt/xLjW7z1LKw0eR0s+4i9bPXjsDzwmSKYad6c+5qp3x2M/9xteDQja1Wc0/GK8WiHciEG+J2rO3+Z3T4q+SDYw3n++l909rnv3kGMv+lxW7OR4C5psU9w6PdtLl5R3d6h77aNDJjHbw0SDA/GPO9FmPRllHDPQoDnCsIwanDL3U4+ulzqUtn152YEb9elkI0MuCoZeTIoNz7XEbeuPjKf24LkF1xFt+ALPfoyMuKzRI9n6VFXZ8gPhpn1k/wanbX7XPJl3nVbQ8LvJVcIgLvhjtO3rgiz9TObpXXM7xvn2szD5WZh0XPCV6tPxarwNnPMzDI8a2WtmYv5AT2/oR888a/DC3sY6V7fwErUd262iL0uf2HDHoP5zmZI3RTrp8TfUp4cXxvF9b9bjkyP1gbWG8oWC83o1jFNY2tKxSbJEtlXwVu3X0wTreWKT2YW2bUTzYhW/L2imhw1vWHurpJ86HravHeAy5s0kn61jZI2h84jiR5SOA+WHykUcW9BGev/XxZ9K98zPw7PfPpOt40a9tzuCveQ/qALr1eI5wnGvf1qD2yzY04LLHRcCfKkjLBdI6WZKW5uG7HQ+tnyGZy2mHLx7ytgbfUTDuwyJHwU55aJ0sSeuk0OJYd4qeaa5t1ZU5/lkxuttjZc8pmH9zPL6H6qOaO1g5nNo35ynPpRj8mtFOulx/0Ovj+n2swnc85SdzctG82OWzec4jrWMV+tPq/T5WYekFMD+bo5dZV14vs4ZedFuSc+3js3WsItJY3fDpiOsSgHlZwXz2FMm+m9c4a59Z29I0V9A+4xyU4591rcBrjPwOdK1jZXqNvS/+vC5H94rL+SYfZ5xq/k37ZpBk6V3f1CopvRVqA8f2QXoOmLfk+N4K/Tul1QRv68dBgQEOz4+HRIZBguM8lWHH6Pkg8bXw+PuM4KQ2MyVwzOekpy1ow2GCAX0dO1m/gHmnR7/j1JYYdrBK8gyRfGwfgHlPjh2suna9WHagtrIqemFfWKF3eD9D+AzLdrBKfC28GZGBcTjvminBB+95a/2YwFk6svKuLNvhvgLMhwvmXatE87V7Wu1C+zkX6qe9QT7L3n6vpL0lze9F7I3jjtr8oOu0S4UdpecrxNfC03jBODxWDRp8xjxtseIO6KvtaLxPP3+SE3dWhe5NzX9XuvpctINzIg/kY/sAzJ/l2ME5166XpPmd7UBt5ZzohX2B+zBv/GE7OEd888afQcHheDFUgg/ec9wZFThLR1bcybId7av08zcF4845ovl8ijtoa9tamMhyU/Pfla4+F+1tUNqwSLrAc8B8M8fe1J+tOqz2O3A47ozSe+faxznub4ZNhC74Wnj8XW0rtZOGwDEf3RLLPK24A/pqO6zfHRmaX7LiTj/zXs05Oe8d88hpxWPLDrLyXvbxMZFh0Nn5LcMm9JzHHwuPv48KDo8/YyX44D3HnUTgfGMWx50s2+G+AsyVnj7Zb+CmNG+luJM0n3ONY5Rk6bW9sf1z20bl+QWd5Nib+iFqZWxvowIDHI47YyJDEXvjeTjn9Xn2lggO1zAte6t62mLFnaT5XW2H9QuYkzlxp5/jj8Z+Hn/O5tiBxhTLDrLGH471Cb13TRhrnGFYtgOeb1t4/F1jHMedpAQfvOe4syBwvjk6x52k+d03RwfM/QrGnUGi+QiKO3psJeWvP6mD/Xy8DxEwDxpr0d0Y66SbuNYz1Wtq2zyP6HWNciijHWPyPP08rGSMs67WHxMY4CyRDhZEBtZLI75e6pbPW3oBzKNK+nwRvQwaerHiNe87XiD89BMvLl60nSwdWXHxcTk+iPo2j+27eW1QN/ME6GHSddZoONfiY8IbxFv3EYMexz++4icv/tySo3vFTWnO7Gm97+OxO+/+ukvl2B3bjPVzIzyW6RqI2hHjYQ96xHWpGsca9VtelwLMs3Jim8Yt64yf6gA4HNv06DyPjycMfkOu3VcOGLL/iEf2rHGd6XN7jhj0X0Hj+vOMcZ3PNVn7pcfkWbz67UW/0vot+Fv125++dOJ1x36SnfGF+GmNkOsrgMmqJ0MPkwTDew6sc7NFzoxq7LfwrCPZOqfWWMM2eLenn7hOxLUj65q4DzTpcLy/nt6/yth7DjuyfAQwHyIfeU1BH0lcSxaOL+knYk7j3V+H7xMuWt5ZtXIKHS8ixoiG5Udjwh/76yCn1v7xnPfXoQ08Zuv4Zo2Lujc0j5YLpDVWkpbWVXY7Hlr562pOO3zxkPfX+eIh92GReLjgoTVWkpbWnDjW8V7iROhz/OP9dR+ImH/fE5B/X0X1B80drBxO7ZvHiP9JMfiLY510E9d6prXjfsUbbYeVk3wiJxfNi10+m+c8UmNb1ppXzFztXAG9AOaPcvRyLkAv5wy9rIoMznXm/47gYtcfsnTE9QfAfLZgPrvAsvep/rDjA8RP+4z3q7BMDKN9xjkox7+k+Z33lXzRyO9AF/R8Oaov/nwlR/fWz2a+iuIU4h7PA/VeB8TQRXoOmG9Q/LvPeCfdxLWeNeRZ7D2iZebi3yo5F7fuKQidi+vVTBH1UvfVpXXukX4Gx/16GQrQi1WX1rzPufazsJrLRKyTeWv3ujaRfvZ6dMTxj2sR/Yp/Oz4g/PDJGrM0T9Q+y7rjI2l+5xiGuDDgOn/+18r/+CxyXvy5Kkf3ipvS/POBzvf4jLtod3B466/gOUEyxZgDZ+mf668NkcmqdXA/4bn6PuPh7pBxF+2OlZpVP1Eb5frJfE5s07ilurJ0YM3D9Iz9AaJVM/ih/srxUWU/45Gd6Z/IoM/tsWpLD2vST/2lNt5Jl3PXhvDi+Q+e9bv+Cv7WXGe1YLxeItn7VW+w4nU3cy+er1tnC3pVp7HwYBcc26HTEYFhvwXMQzz9ZO2XSZ+dEHopn9ubdDjeX0/vH07jU1bua91p9hzyke8u6COJa8nC+ko/EdfdvfVX8Iz9kyF5OXS/669q16i/6tqNr/6KNvCYreObNS4CvlGQlguktVCS1oLQ2u14uOOPnnhozTnK1F85HupYbeVMem8a5zkWrYWStLQmybHOyrU5xiP+cf31dopvS8Lfuradc2WGAe4wwTw7ZyxV3AvXtjeDkZU7WDmc2jfnKT9CMfjV4510E9d6pjXZftdf0Q4rJ/mJnFy0mzUHa569YuilHl8vZv3V0gtg/n2OXs4F6OWcoRer/srjM/TG9dc454Ds+uuS8Gcd3VUwn92N+9WsfLZIzTzrXBLXH6wcN2l+5/rDq438DnSt+gPnjnnx55cK1h+4pvFwilMr0q70FZ9P6l3fXNxvfQO1gWM72xtg3pTjezfQv1NaiOHcj9rXwOH58arIMEhwbAcMu0zP+dyXhcffVwSH86dVg0/d0xa04TDB8PmKLP0C5u0e/Y5TW2LYwY0kD/sX2wdgfj3HDm507Xqx7EBt5UbRC/sCYAdd53lEhWU7uJH4Wnj8fVVwOMdaKcEH73nf/bLAWTqy8q4s2+G+AsxvF8y7biSat1HeBRl5Ta6f51ohnzWe/W7JMV9zaN/4wXFH53dF7I3zZ143zLO3ZcHhPN+yt7qnLVbcAX21HdYvYP44J+70c/zR2M/jz2dKjj+WHWSNPxzrl0UGPufOfs+wbAc3EF8Lj79rjOO4s1yCD95z3FkSOEtHVtzJsh3uK8B8uWDcuYFofg/FHc2H4s017HsVIJ81B/tGyTlY0vxeZA7GcWdZZChib1w3sO5VyLI3nVtxrcKyt7qnLVbc0Xqupd+ddZOJi38v9XsVRjxyWjElQfsIpsi9Cpp38r0K7PcMy3Zg3avAePxdY5x1X34RPnjPcUfvNPDlyr61ACtXBswVnj7Zb+CmNFcp7kBGPgeyTLL02t70PD3mo8v0HDBX59hblh+yvS0LzM5ZfdfSwZLIUMTeeL68THzz7G1RcFI7qQmctVZitQVt4LijNUpLvzv115y408/xR2M/jz+nc+wgKw8sMv5wrNe7AAadPc5Y9XDn2vNeC4+/a4zjuOOruysfvOe40xA431qpr76ttT22nRtz4o7ipjSvobij65GpvUW6330ppXea2jDkWvfK8918gHlgjr2dpn9n1en0vkC+GxU60DtzI+rgQn35TAEdAOZhOf2L2invY+jX2tdOXxI/vZ9W78e1+oTvlk0/fB8v39+n9/kDnn3nBNFiGL6TFjDf69Etz3/Rhv0GvfTfXzDeO5LJidz48Joa8JLmX2s9iGu/oGXtfQD8Asm1t/md9xU8aaKTLmwS8EfoOWDec6hFY2OiJS/XtPFsxGjDCH3nPrLaMGLgOZft76of4FxPMiXN7769IRbtEwIDnGuINvgBdtC12yRoDTTf6T4k4IwYMuK/kwVkzfpdi+tIVvDku8J5DwRoOaHlhJ91F35RvFOBeKcD8c4E4p0NxKsE4PH+pYSecczBM+jvBD2DbvjOFv0tPP69u2F6BnmvpzZoTEvHmDh7m2tVn374DoCRKPztOwA0PqX7cO7jWr45JfIljpTHxCBwVgPZAIB3iGjVAmnVDFohP6LLyfEM0bIGl1fQ4KKb1gB/mJ4D5i4aXF5Ngws6wTpAyHqpkcxHBce59naPePB5wOODfXj/+pzEzNo8F+fiCr/T8I+Extw8pwcnrc1rqdMgUE2JfIkj5XVrnLGcphFIC3h5TvN2cho+TZDlNIB5KjnNu8hpgMM7PfVXL/k7Ow33Abd7rwefs2t2erz/zRynsX5Zl3de9ctpwDP2L+tqRmn9sm3qNEnz31MiX8LKY2IQOKuBbJzAi+U0i4G0gMdOg6jCTvMxchreAshRiJ0GMA8mp/kEOY11XADf85yG+4Db3fDg83V17PR4/6kcp7F+Jjhpfu+n04Bn7J8JToS/LqvCaZDWTol8CSuPiUHgrAZa89NYTrMUSAt4eU7z1+Q0XJPOchrAXENO8yVyGus8Lb7nOU1C760afZbTDAsOO83Xc5zGOlcHej022k1f34Fn7HN1w8LfOldXE5nYNvn3hGpCqya0GG9/IN6BQLzLA/Gu6rOcxwLxZvss51wg3kSXcqZ2wzabfsZd+3nEHvrIqs9HuU2RYkTV0tOw6CnVybLIxPv5uCaia5TLQovxqoF4ewPx6oF4jUC8E4F4i4F4SfOvlRPEW9e/uC/fiZz4gOeEi+ZDVUtPOs5EPLuxYa2vDhv84+wfrKyk9HQ/m8a6y5t9oOvsus+Q9xhD1iSHdgqzV2CAw+sf8D/AhuaunONd65EzEbxJgk9IBsYDrTwZuJJSFi9kYsplR25zkXvLAF+NTGu6JK3piHLx2D5NzxKhnz5DP15Dz3gPhspmtXPA9a6dAyXamTXPevTeFi0tgwP+OnoOmLsPtmg8dm+nvDw2YXwbEvn5XgbAPL5Jq0m+7cMVOG7DE6kNer8M4HmdGDBPozasUxtgDwnx1WWSeJU//1lzrvxFur/HrPxpLE/bH6lc37DGCbXxdJw66Dr3B+0lHOdadsQ+zb4PO70PtQVwWbytXBg4PI5pfSB0ue1SGcdCxuDQ8Y/3l3Cbi+wvAfxCZFqTJWlNRpSLl2Qn6W8i9Hm843FsL8mkslntHHC9a+dAiXZmjQF30RiAmKBjAI9jgPn85S0ad9MYgPd7DXmHhI91v9ArA8axVxdowxGjDe+lNrz22+MYPpfEOKZ7woqOYyOE41z+OAY7jTGO6Ypqanv4XaZf3duS963N72zfh6g9T5hs0dT7CHl/3kl6pntfD9D30/QM3/k31/H9LD3D90rz7yB9571lWfe77/Zqb8z73dVXrPvV70P66ttq70IgrQWDVhJIC3gzRAsOwUH8IxTE9cf4AM8LV4B5GQXxj1IQT5rvrdVe1gsPntZqLxtz4sFPZVKH4IHtD3IGNstpQK+fTgOesZ2mIvyznAaBbErkSxwpL3Q3JvBiOc1oIC3g5TnN58lpMPL5nAYwTyen+QI5DToBejlA3/OchvvA+qXbLKc5KTjsNF/JcRrVb7ysxO804DnhYv166UWn0RkO//Jn+oHTIEuYEvkSR8rrpaF3ezyCaQ0H0gJentO4fS26oOVzGsA8hJxmsEkjdRB0gjVtY73wduOjggNe+Ix68LkUN0x/8X6iKVvekVV84m2R8DsNb5GIOZXRLRLWVCJ1GqS9UyJf4kh5U679U9Q4gddLQ++lA+Y5zTQ5DWB9TgOYhJzmGnIajVAHXKfi+Ts7DffBUfpe9eDz2buj9Azvr8txGj1fMk50emy03j0L4DlBMsVwmqPCH7y4PjksMrFtJiSbOqCu3TLeiUC8sUC8SiDeaCDeQiBeNRAPvpL2F/dp+om4N65RNPBH8qFCe+PS9h+Pw3+D4yT4nzH4H47Df8WqoR0V/tizAD1BF5AbsoEO71kYzaGdwkwJDHC4RoY+mSK8o4ST/ndW8PYQLbYfLgvcsL8l+83N2B46U+SaGNfh9Uy09i/X4fGum7OKIaWh0EQ/bTP2hnKb5wVvXvC4zfORaU2XpDUdUS6uJvB+CLUbLtXxOhJPHlQ2q50DrnftHCjRTp5AcH749H2ddPXuq+voOWB+bV+LxjP2dcrL4yX2rA4JH15HAsydBSdB3IZnF2jDEaMNL6I2/JCR47Lva/y5FNaR4pQZ7dq4Tr7GXacd9oh/g20G/CvCX9eRIAvbmnPt60jozwo9g53yOtKZHN4DrnPvFXB4jARt3pOEORcXGu67v4WDdrBtoU1q02zrgPk5sun/YvglrxfNybOIeVXDmn+iHcfpOWBe6okDVo6GtnAfHRcY4PB+rFmRgfVSia+XOq9b+vQCmFfn6CVx5fWSGHqZERmca/dJ6A1w4679LESvbSdxLV2wjmbpOWDekDOG4I6eeZK9X/eb7/gA8UtIPrZT7rNZgQEOr4kDZo6ewbdBk+OClTNZ9+7NEW5e/PnVguP3PNF8NuX584Iz7trPvPTa95y0Hx/wnHDRxrmqNc5pLpfqxOpXPDtNsqmNzAotxuP74yP5bY1jjc9vAfNbObFN45bqytIBcDi2zYkMWXnrcaKTlbcC5rc9smeN60yf23PEoP85Gtd/xxjXeeVvVngdIDp8L1lCsvTar45RG7gfEnoOmE9cOvG6USReHyP5suJ1IjDA4fsIAQN75H6aIVpq98eF36TrHK8tPNgFx3aOwwzDfguYP/X0E8+jZ+jZCaGX8tnXzHc53retjtP4xHEiy0cAc5BqR18o6CM8x2N9pZ9x194P/ZrjgeeEi5Z3Vq0cWseLiDGiYfmR2jXmeJATshwjHOfaf18NbeAxW8c3a1wE/GxBWi6Q1vGStI4Lrd2Ohzv+6ImH2g5fPOTfVwMMx0Mdq62cSec4Vi7MtI6XpHVcaHGsm6VnZ4S+VTPk+Bcj/55s0i6Tfz+dYqXmDlYOp/bNecphisGL+zvpcv3huDzrV7zRdiT0HDBXe/RYJHb5bJ7zSI1trJdKfL3Ued3GpxfAzObo5WiAXo4aejkmMjjXPj5Db4Abd+13OPTadrJ0xDYFmFM5Poj4PUuy72b9QfvMymfV3rXPJp2d41r1h0WKfzoGgh7HP84d8+LPao7uFZfzTa7P8m8N3JfkrZCs6X/WGqfuuR9oyojn1ctatO9PuTDeO8LjD+eIl9oa5+lAvJC10W+flSsnV/rsLH3HX2uNE/3Ia5x67qvXZ+UmjXZOCq1JTzvxjtfpeD65ub9TRsRxwPMaJ2DeQrnMLZTLAIdzJJzRQa2I55qgC5in5MQoax/f04wYpPv4eE4MmB+jNvwAtQE4eWucZ6mN/Zr/gmfsNc6zwt86K3c6Dv8G2wz4Z61xQk7IwrbmXP4aJ+y07BqnnpWz1jj1IkaeY/A964cnWzgVaQ/rQm2abR0wzyebfr3hlzzHOCXP+rVure2w5movysmldW6KtnAf6fwROHx/14LIwHo5G18vdauOZ+kFMC/J0ctsgF5mDb3MiQzOtfsk9Aa4iGtRDZ+O2KYA88qCcwyeQ/ZrjrEzxhI/7TPNDSx71z6bJJhT9Ay+zXsqXm+Ml6Cr9wFw/Blx+fHnTQXH7wrRfBrl+bqvL7bvOWk/PuAZ+ypy9UXt+1Qn6otWXxet12kMjOi3Nctv0e+W376zZGwr4yecc+p+KB4HThj8kLfqfkaW/Tc8sjP90xn0uT3W+s2naFx///5OunyufU54cY0RzyKu35j7dsB/hp4D5kMF4/UCyd6vmv5OfdezJ8Wq480IDHC4Jg4Ya08r1+GL7N09LrR8+Q/Hdq71MIyVe3zS0088j+Ya12mhl/LZ06zxcLzn+dwf0/ikOaPlI4AZo9rRpwv6CM/xOL6kn4h727xzPPCccNH2n1S5dgj+Ol5EjBENy49mhT/meLrunxCOc+1rnGiDtcd6wGWPi5rP5tFygbRmS9LStbrdjoc7/uiJh9a+yqx4yGucVjxUXfI4DFpWLU37jmnNlqQ1K7Q41ln7CTnGa82Q45/FvyLwHMdHBIbrdTswTdpZY6nicg3Qyh2sHE77hMeIfRSDT17WSZfrD7PyrF/xRtth5SQHPXosErt8Ns82qbGN9XI2vl7M/WiWXgAzlaOXIvsdVC/HDL0kIoNz7eOz7pnr9/q43j7BOro2xwcRv7l20q/6g5XPdrNezzERMBz/dN8HxwVrDAQ9X47qiz9nc3SvuJxvXsAnmoiBh+gZ3h+cbOE3KJ8NWSPkWjGv8+g5oxOCx+s8eNfvM5XWvvSibUYfcJuL5ESAn4tMa7okremIcrEv8VlMtRvOP3mdUvdn57VzoGQ7p412TgutaU878Y7X+nlO+BgjZiAWA57XKXfWEQ60aDyO8hHg8HwZ/o56D88XQRcwT8iJM9Y65ZOoDWelDdY6JWDWqA0bRhvY9607PSKt03nnsOAZ+06P08IfOuE5bKT6rXkWU/eSYA4LOXX80Tks+/QZegY75XXKEzm82c4AAxxepwRtwN7bx7GQvUI8ty2D9+39NuXk4nGM99tY4xj6kccxHnNUtkttv401BryUxgDEBB0DeBwDzKdoXv0LNAbgPY/but+G1wFAFzCvChjHfrFAG44YbXgbteGXqA3AYd9XH07jeKRxxDuOgeeEi7bf58I4pntOdnu/jY6jGMcgZ5H9NuhP3l8HO/WNY8p7wHXut7HGMV3b5HoXz/fuQ/ttTouMrAu1abZ1wLydbPr3Db/k/YGn5Fns/TazGe2w1nbek1PXmaV/D7nwfSW+/TZ92IdU53UPn14A84EcvRwP0MtxQy+zIoNz9n4bwMXOa7N0xDVnwHykYL2L1577Ve/a8QHil3X2k/tMcxvtM55n834b+DbXrH7fGC9Bt8x+Gyv+/K+C4/dpovmLVK86LTgR7cq73wY8J1y0cc68bRi8eB5grffgGe+30ZiodsR4fB5xNk77aj6/5bEAMH9RMrapriwdWLFNY1dW3qp3Clh5K2C+5JE9a1zXOwUAY90pME41l68a47q1jsX1ouPyLOL6ROk7Bf7vpROvd+VOAd/6m2X3vbxTgOMww7Df7sA0bTBrv42eH7P24KR8ak06HO95Prf3QEs+zRktHwHMCvnIZc3veT7Cc7xv3ylw8cNzvCQO/+h3Clj7BQZc9rgI+NmCtFwgrV7eKbAb8dDKX3t9p0CMPTJM63hJWseFVtbeGr0/xaoZcvwrmn/z3pis/BswS54YnZV/v5TyCc0drBxO7ZvzlBspBn//gU66u3TPkblnAu1I6DlgHuDRY5HY5bN5ziM1trFe+nDXgnmngKUXwDwsRy/d3CnAernU7xQ4LfxZR4/K8cF/SXcKQA9ZdwrAt0GT44I1Bur+RI4/Iy4//jwxR/eKy/kmr2FzzSFrTcHam7NF8e/5Bl2Of1qTjTgXb5Sdiz8lx897NRfXfchWvh5RL3XOg316AcztOXqZCdDLjKEXzfuca88VoLed+oDr733ANeHPOvrhgvGPaxH9in/WfnHtM2u/eNb9xFx/BQzHRPg2r/c8n+LfWaFr5X86R/fFn58umP+dJZpPovqr7jmI7XtO2o8PeE64aOcBq5Yvat9zXYBzfe3ronUajYER/bZm+a3WY9hvf6FkbCvjJ1yL1LkwjwPzBj/UX3WvBcv+Go/sTH8hgz6354hB/z00rr/uQCdd6640nnvOyLOI+aqZ02u+zPnqWwrG6z7sD++oNySQ15OvAqZIvsq1ScBYdZqEaBWp0yRCy5f/cGznvJhhrNzjXQXrrwk90/pJyudzVH9Fn3L99b00PmnOaPkIYP6KfOR9BX2E668cX9JPxHmvt/4KnhMuWv23as2Ddbzo15wW/HXeh/pr0vw3ZOHfjnKuvf6q92+yDQ247HFR89k8Wi6Q1kxJWjNCa7fjoXVepkjNJSsecv3VFw+7rVszrZmStGaElnWOx6o1WGcPOP5xTgH+Wq9lGUcExjrv85c5Y6ni8lkCK3ewcji1bx4jvkQxeN9kJ12uP8zIs37X0NAOKyf525J1xjI1K84jE5GB9XImvl4u5GrTBfQCmG/l6GXaldeLdX7mqMjgXPv4nDT/Ai527T5LRwk9B8xg0+7z8lmunfSr/rDjA8RP+8z6ncdEYLTPOAfl+AffBk2OC9YYCHq+HNUXfyZzdK+4nG/y/tgavcf+2PQ97qvj+5oOT3bi45P2La9l9SuHBM9+34uodwOm1+Ve2fx+y9YdN28959FrT711c+2OW297+qO2nnHn1u13DJB4Z6Up/C6ruXvo2Un6fsh4z58i4qcwuhUdOJiCHCC+visyfd3Fx2dA/1qPnLolnI9cnCUZGA+08mQIPe5kbZ8s2mZsI+Q26xZ83UrMbT4VmdYVJWldEVGu9FlF5OKlfj56g37kI0O6jTCvnQOuXDuvMNp5hdC6wtNOvMs6bvOAyU4ZfUeGAPNyOqL+YEpNEdK5lKpHhvgnoZTuQ3OGHKsNN1Mbqhlt4BIHYG6jNjyC2qBldR6q8EmHokhDgXcoAs8J1/4T570eiirC3zoyFOnIlHlkSH8GFeUMyAlZfEeG0J/8032wUz4yhO9ZvK0xBDh8ZEi3Cad21Gh+52WgJ1DKw0eR0s+4i9bPXjsDzwmSKYad6c+5qp3x2M/9hmd1kk1tVvMPxlsMxNsbiNeg9ow3v3Na/DSygcHm83HiybGV/S4rZnMcBMztFO9eYsRsXtaxrimO9LPLF/x9IaMdJ+g5YJ7jGSOYlnP2WDvgOo8FAoeX7U+KDKyXSny9XCgnzBfQC2Cel6OX+QC9zBt6WRAZnGuP19AbL4+dJB69tp0sHZ2k54B5YcFyQpVk383rm/Ou8B1w7fM0q88mCYbzXt0exXHBF5uLHCez4s/dBXO7KtG8meLiKcGJ7XtO2o8P/xT8qTj8zZ+CV39lmwEsl8k5byiyNRrPYCsRj+vVfH7LYwFgfrkHsU11YMW2EyIDx/zTBj/MaXjOprL/Z4/sTP9MBn1uzxGD/odoXH/bZCfdCvFaEF4HXOdP1MfeJqTL0L6flXpXwXh9imTfzetK8669tZbJ9HplPvJg5R7WdRygZdUVAH/Kg6dLaxx/RgSGc07AfNDTT5wHW1eO8RjyVSPe81z/IzQ+ac5o+Qhgvkk+8tGCPsLztj7+PLp3Xgae/f55dB0v+rW9Gfz1WnLM/3XLMR/Dda59O4PaL9vQgMseFwG/UJCWC6Q1X5KW/nT6bsdDK389ntMOXzzk7QxWPNSx2sqZrOvAFjy05kvS0p+X51jHR8zOCn2rnszxz4rRVv6tMRowVoz+RsH8m+PxAyhWau5g5XBq35ynfIti8NTlnXS5/qDXxvX7OAXaYeUkA03Zix6n0Njls3nOI63jFPqT6rFztWsL6AUw4zl6udaV14u1jmQdp+Dx2TpOEWmsbvh0xFuKAHO5R0ccv7l2spvXN2ufWdvRNFew1th0SzjHRN4+gLjgq+P5rq/3xZ9rcnSvuJxv8laiqebftG8GSZbe9U2tktJbpjZwbB+k54C5Lsf3lunfWWsagwIDHJ4fD4kMgwTHeSrDjtDzQeJr4fH3GcFJu2JK4JjPsKctaMNhgtGtMJZ+AVPz6Hec2hLDDlZIniGSj+0DMEs5drDi2vVi2YHayorohX1hmd7h/QzhMyzbwQrxtfBmRAbGSe1gWOCK8MF73mY6InCWjqy8K8t2uK8A8+CcuKO4Kc3pfW6nXWg/jwn9tDfIZ9nbw0va22jzexF747ijNj/oOu1SYYfp+TLxtfA0XjAOzxkGDT4jnrZYcYfjYpZ+AfPYnLizInRvav670tXnoh2sijyQj+0DMI/PsYNV164Xyw7UVlZFL+wL3Id54w/bwSrxzRt/BgWH44Vv/FE+eM9xZ1jgLB1ZcSfLdrSv0s9TC8adVaLpKO6grTzXGBJZbgJMD+xtUNpQI13gOWBuz7E39edmSttmb9rvwOG4M0zvnWsf57i/GXZU6IKvhcff1ba4ljBs8NHaFfO04s4I8cnSL2B+LCfu9DPv1ZyT897nl8x7LTvIynvZx0dEhkFn57cMy3bA44+Fx9+HBYfHn5ESfPCe486owPnGLI47WbbDfQWYuwrGnWWi+fm9rXZBRj7Kwrl9r+2N7Z/bNizP088rc+xN/dCyt2GBAQ7HnRGRoYi9JfR8mPjm2duo4PBRA8veFjxtseLOKNHK0i9g3pQTd/o5/mjs5/HnP0UcfzjWj9J714SxxhmGTeg5z7ctPP6uMY7jzmgJPnjPcScRON8cneNOlu2wrgDznoJxh/P2j1Dcgc3zfkddY8Q+Pmtf2m9d3qL7mcs76Sau9WxBnsWLcRdrlEMZ7bBi3D0lY5y1ppMV4xqkA41xrBfefxVJL3XL5y29AOZ3S/p8Eb0MGnqx5hNcC9U8MV5cvGg7WTqy4uInC9a3eWzvV317x96In/YZYIrEaehh0nXWaDjmce70Gapv6/oi6Pmui/TFn8/l6F5xU5qv3tt6rz+JFHH/V+Hr2iPt7zOva9f1XbYZ7lcdJzk/Bi21I8bD3vNx11476mH7ahxr1G857gLmazmxTeOW6srSAXA4tlnzGNDaa/Abcu2+csCQ/e89smeN60yf23PEoH/FwZbM/2iM63yeaUR48Xydr4mKU7+96Fdav9X5JNdvh5ptuwTidcd+kp3xhfhpjZDrK4DJqifz/AYw1j4cHkuL7MPR2G/hwS44tkOeEYHhnBMwBz39lMpQJV54pvtpU/r3axLgeM/766482JKP40SWjwDmQeQjU83veT6SuJYsHF/ST8Scxru/Dt8nXLS8s2rlFDpeRIwRDcuPhoU/9tdBTq394znvr0MbeMzW8c0aF321BouWC6Q1XJLWsNDa7Xho5a8rOe3wxUPeX+eLh9yHReLhiIfWcElaWuvmWDdCzxKhz/GP99fdj+Jbr/PvB+SMpVb+fRfVHzR3sHI4tW8eI76TYvAtBzvpJq71bFie9SveaDusnOQRHj0WiV0+m+c8UmMb66UaXy91a43V0gtgHp2jl9UAvawaelkRGZzrzP8dwcWuP2TpiOsPgHlCwXx2hGXvU/1hxweIn/YZ71dhmRhG+2zSddaMOCbyvpJbjPwOdEHPl6P64s9TcnSvuJxv8jlkngdynOX4y+cLAfMMin8vNugmrvVMa7IR5+KNsnPxZ+f4eT/m4rX4eqn76tI690g/z83Ry1CAXqy6tOZ9zrXnCprLRKyTeWv3ujaRfl5QMP7txvnmHR8QfvhkjVmaJ2qfWWc6rJyQ48KA6zzfbOV/er7CF39eWjD/4/z1iXs73+Mz7qLd/eGtv/LdH404/Ks+/XP9VesHPMfjnKPIWR08w50hEc+P16z6idoo109enxPbNG6priwdWPOwqshwgGgtGvxQf+X4qLL/ikd2pr83gz63x6ot3UPj+n892EmXa61aS+b5D571u/4K/tZc5x0F43WDZO9XvcGK193MvXi+DhirLthtnaZobsu5RlZuC5j/nlN/1T0t6bO9Qi/9+xWqv4I2118/ZNQndNxnH9k520c+8jsFfSRxLVlYX+kn4rq7t/4KnhMuWt5ZLZJD97v+qnaN+quu3fjqr2gDj9k6vlnjotal8mi5QFojJWlpDXi34+GOP3rioTXnKFN/5XioY7WVM+n5Hc5zLFojJWmNCC2OdVauzTEe8Y/rr1+h+NYQ/gsCPyByMwzv0wHM3+aMpYqb0ny0sf/LylN8+78A8/cUg6861Ek3ca1nWpPtd/0V7bBykn8uWX8ts+ZgzbOXDb30a618tYBeADN6yK+X1QC9rBp6seqvPD5Db1x/jXMOyK6/NoQ/6+iAR0e7vf/LymeL1MyzziVx/cHKcRPwo3eIC0XXnzh3zIs/V+fo3lp/+hDlirC3pPk37Rs+n9S7vrm43/octYFjO9sbYI7n+N45+ndKC3NZ7kfta+Dw/HhFZBgkOLYDhl2i53zuy8Lj78uCY9XsmU/N0xa0gffd8/mKLP0CpuLR7zi1JYYd3EDysH+xfQCmkWMHN7h2vVh2oLZyg+iFfQGwg67zPKLCsh3cQHwtPP6+IjicYy2X4IP3vO9+SeAsHVl5V5btcF8B5oE5cUdxU5p/PdFqF2TkMaGf51ohnzWePazkmG/V5bLGD447Or8rYm+L9JzXDfPsbUlweM5g2VvN0xYr7oC+2g7rFzCPyYk7/Rx/NPbz+PP9Jccfyw6yxh+O9UsiA59zZ79nWLaDc8TXwuPvGuM47iyV4IP3HHcWBc7SkRV3smyH+wowTy4Yd84RzY9R3IGMvB7Qz3sVMM+05mDPyLG3LD8sMgfj2viSyFDE3njebt2rkGVvi4KT2kld4JhPzdMWtIHjDuiPuGz9AuZHc+LOpXKvwo+XHH8sOyhyr8KiyMD3KrDfMyzbgXWvAuPxd41xHHcWS/DBe447DYGzdKR1KZ/tcF8B5udz4o7ipjTfTnFH14FTe1siWXptb3qeHvIt0XPAvDzH3tQPrRrHksAAh+POoshQxN7q9HyJ+ObZW0NweA+pZW81T1usuKPrSJZ+AfPLOXGnn+OPxn4ef95ScvwpUwPkWK/1tkFnjzMMy3bAea+Fx981xnHcaZTgg/ccd+oCZ+nIijtZtsN9BZhfLxh3uBb1Coo7ut8rtbdIv8uwlNLT3yaBfPy7DIB5X4696V2o1nl6/R0E4HDcOSEyRNTBhfry6QI6AMw9BWunfbgbsmPta6cvid9pko/17esT4EAP/NsUvM6ltVHLd3Rv/l6hw3vzP+7RLa9zoQ37DXopzJPIn0aauhgknYyOtWQeIpg9JBNg/vehFt0/4jq10E3ff8F4j49vPR32kdrKeBxbuTC2TIy12jdEvIao/YCZIDmG6d9/QbXxvWPt7YEuQDfV/1jz+96xbLxhwZskmDHCGxe8cem3tA/+pCnfhOvcw3hTE67S3afKfZ3a3/8HwV+uebypAgA=","debug_symbols":"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","debug_symbols":"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","brillig_names":["get_public_keys_and_partial_address","decompose_hint","notify_created_note_oracle_wrapper","get_key_validation_request","random","lt_32_hint","lte_16_hint","build_msg_block_iter","pad_msg_block","attach_len_to_msg_block","build_msg_block_iter","emit_encrypted_note_log_oracle_wrapper","directive_invert","directive_integer_quotient"]},{"name":"get_profile_nfts","is_unconstrained":true,"custom_attributes":[],"abi":{"error_types":{},"parameters":[{"name":"owner","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"},"visibility":"private"},{"name":"page_index","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"private"}],"return_type":{"abi_type":{"kind":"array","length":10,"type":{"fields":[{"kind":"field"},{"kind":"boolean"}],"kind":"tuple"}},"visibility":"public"}},"bytecode":"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","debug_symbols":"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{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"}},{"name":"recipient","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"}}],"kind":"struct","path":"Profile::update_is_adult_parameters"}}],"kind":"struct","path":"Profile::update_is_adult_abi"},{"fields":[{"name":"parameters","type":{"fields":[{"name":"initial_supply","type":{"kind":"integer","sign":"unsigned","width":64}},{"name":"owner","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"}},{"name":"outgoing_viewer","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"}}],"kind":"struct","path":"Profile::constructor_parameters"}}],"kind":"struct","path":"Profile::constructor_abi"},{"fields":[{"name":"parameters","type":{"fields":[{"name":"to","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"}},{"name":"token_id","type":{"kind":"field"}},{"name":"is_adult","type":{"kind":"boolean"}}],"kind":"struct","path":"Profile::mintNFT_parameters"}}],"kind":"struct","path":"Profile::mintNFT_abi"}]}},"file_map":{"100":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/encrypted_logs/payload.nr","source":"use dep::protocol_types::{\n address::AztecAddress, scalar::Scalar, point::Point, constants::GENERATOR_INDEX__SYMMETRIC_KEY,\n hash::poseidon2_hash_with_separator\n};\nuse std::{\n aes128::aes128_encrypt, embedded_curve_ops::fixed_base_scalar_mul as derive_public_key,\n hash::from_field_unsafe as fr_to_fq_unsafe, field::bn254::decompose\n};\n\nuse crate::{\n oracle::random::random, utils::point::point_to_bytes, encrypted_logs::{header::EncryptedLogHeader},\n keys::{point_to_symmetric_key::point_to_symmetric_key, public_keys::{OvpkM, IvpkM}}\n};\n\npub fn compute_encrypted_log(\n contract_address: AztecAddress,\n ovsk_app: Field,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress,\n plaintext: [u8; P]\n) -> [u8; M] {\n let (eph_sk, eph_pk) = generate_ephemeral_key_pair();\n\n let header = EncryptedLogHeader::new(contract_address);\n\n let incoming_header_ciphertext: [u8; 48] = header.compute_ciphertext(eph_sk, ivpk);\n let outgoing_header_ciphertext: [u8; 48] = header.compute_ciphertext(eph_sk, ovpk);\n let incoming_body_ciphertext = compute_incoming_body_ciphertext(plaintext, eph_sk, ivpk);\n let outgoing_body_ciphertext: [u8; 144] = compute_outgoing_body_ciphertext(recipient, ivpk, fr_to_fq(ovsk_app), eph_sk, eph_pk);\n\n let mut encrypted_bytes: [u8; M] = [0; M];\n // @todo We ignore the tags for now\n\n let eph_pk_bytes = point_to_bytes(eph_pk);\n for i in 0..32 {\n encrypted_bytes[64 + i] = eph_pk_bytes[i];\n }\n for i in 0..48 {\n encrypted_bytes[96 + i] = incoming_header_ciphertext[i];\n encrypted_bytes[144 + i] = outgoing_header_ciphertext[i];\n }\n for i in 0..144 {\n encrypted_bytes[192 + i] = outgoing_body_ciphertext[i];\n }\n // Then we fill in the rest as the incoming body ciphertext\n let size = M - 336;\n assert_eq(size, incoming_body_ciphertext.len(), \"ciphertext length mismatch\");\n for i in 0..size {\n encrypted_bytes[336 + i] = incoming_body_ciphertext[i];\n }\n\n // Current unoptimized size of the encrypted log\n // incoming_tag (32 bytes)\n // outgoing_tag (32 bytes)\n // eph_pk (32 bytes)\n // incoming_header (48 bytes)\n // outgoing_header (48 bytes)\n // outgoing_body (144 bytes)\n // incoming_body_fixed (64 bytes)\n // incoming_body_variable (P + 16 bytes padding)\n encrypted_bytes\n}\n\n/// Converts a base field element to scalar field element.\n/// This is fine because modulus of the base field is smaller than the modulus of the scalar field.\nfn fr_to_fq(r: Field) -> Scalar {\n let (lo, hi) = decompose(r);\n\n Scalar { lo, hi }\n}\n\nfn generate_ephemeral_key_pair() -> (Scalar, Point) {\n // @todo Need to draw randomness from the full domain of Fq not only Fr\n\n // We use the randomness to preserve the privacy of both the sender and recipient via encryption, so a malicious\n // sender could use non-random values to reveal the plaintext. But they already know it themselves anyway, and so\n // the recipient already trusts them to not disclose this information. We can therefore assume that the sender will\n // cooperate in the random value generation.\n let randomness = unsafe {\n random()\n };\n\n // We use the unsafe version of `fr_to_fq` because multi_scalar_mul (called by derive_public_key) will constrain\n // the scalars.\n let eph_sk = fr_to_fq_unsafe(randomness);\n let eph_pk = derive_public_key(eph_sk);\n\n (eph_sk, eph_pk)\n}\n\npub fn compute_incoming_body_ciphertext(plaintext: [u8; P], eph_sk: Scalar, ivpk: IvpkM) -> [u8] {\n let full_key = point_to_symmetric_key(eph_sk, ivpk.to_point());\n let mut sym_key = [0; 16];\n let mut iv = [0; 16];\n\n for i in 0..16 {\n sym_key[i] = full_key[i];\n iv[i] = full_key[i + 16];\n }\n aes128_encrypt(plaintext, iv, sym_key)\n}\n\n/// Encrypts ephemeral secret key and recipient's ivpk --> with this information the recipient of outgoing will\n/// be able to derive the key with which the incoming log can be decrypted.\npub fn compute_outgoing_body_ciphertext(\n recipient: AztecAddress,\n recipient_ivpk: IvpkM,\n ovsk_app: Scalar,\n eph_sk: Scalar,\n eph_pk: Point\n) -> [u8; 144] {\n // Again, we could compute `eph_pk` here, but we keep the interface more similar\n // and also make it easier to optimise it later as we just pass it along\n\n let mut buffer = [0 as u8; 128];\n\n let serialized_eph_sk_high: [u8; 32] = eph_sk.hi.to_be_bytes();\n let serialized_eph_sk_low: [u8; 32] = eph_sk.lo.to_be_bytes();\n\n let address_bytes: [u8; 32] = recipient.to_field().to_be_bytes();\n let serialized_recipient_ivpk = point_to_bytes(recipient_ivpk.to_point());\n\n for i in 0..32 {\n buffer[i] = serialized_eph_sk_high[i];\n buffer[i + 32] = serialized_eph_sk_low[i];\n buffer[i + 64] = address_bytes[i];\n }\n for i in 0..32 {\n buffer[i + 96] = serialized_recipient_ivpk[i];\n }\n\n // We compute the symmetric key using poseidon.\n let full_key: [u8; 32] = poseidon2_hash_with_separator(\n [ovsk_app.hi, ovsk_app.lo, eph_pk.x, eph_pk.y],\n GENERATOR_INDEX__SYMMETRIC_KEY as Field\n ).to_be_bytes();\n\n let mut sym_key = [0; 16];\n let mut iv = [0; 16];\n\n for i in 0..16 {\n sym_key[i] = full_key[i];\n iv[i] = full_key[i + 16];\n }\n aes128_encrypt(buffer, iv, sym_key).as_array()\n}\n\nmod test {\n use crate::{\n encrypted_logs::payload::{compute_encrypted_log, compute_incoming_body_ciphertext, compute_outgoing_body_ciphertext},\n keys::public_keys::{OvpkM, IvpkM}\n };\n use std::embedded_curve_ops::fixed_base_scalar_mul as derive_public_key;\n use dep::protocol_types::{address::AztecAddress, point::Point, scalar::Scalar};\n use std::test::OracleMock;\n\n #[test]\n unconstrained fn test_encrypted_log_matches_typescript() {\n // All the values in this test were copied over from `tagged_log.test.ts`\n let contract_address = AztecAddress::from_field(0x10f48cd9eff7ae5b209c557c70de2e657ee79166868676b787e9417e19260e04);\n let ovsk_app = 0x03a6513d6def49f41d20373d2cec894c23e7492794b08fc50c0e8a1bd2512612;\n let ovpk_m = OvpkM {\n inner: Point {\n x: 0x1961448682803198631f299340e4206bb12809d4bebbf012b30f59af73ba1a15,\n y: 0x133674060c3925142aceb4f1dcd9f9137d0217d37ff8729ee5ceaa6e2790353d,\n is_infinite: false\n }\n };\n let ivpk_m = IvpkM {\n inner: Point {\n x: 0x260cd3904f6df16e974c29944fdc839e40fb5cf293f03df2eb370851d3a527bc,\n y: 0x0eef2964fe6640e84c82b5d2915892409b38e9e25d39f68dd79edb725c55387f,\n is_infinite: false\n }\n };\n\n let plaintext = [\n 0, 0, 0, 1, 48, 22, 64, 206, 234, 117, 131, 145, 178, 225, 97, 201, 44, 5, 19, 241, 41, 2, 15, 65, 37, 37, 106, 253, 174, 38, 70, 206, 49, 9, 159, 92, 16, 244, 140, 217, 239, 247, 174, 91, 32, 156, 85, 124, 112, 222, 46, 101, 126, 231, 145, 102, 134, 134, 118, 183, 135, 233, 65, 126, 25, 38, 14, 4, 15, 228, 107, 229, 131, 183, 31, 74, 181, 183, 12, 38, 87, 255, 29, 5, 204, 207, 29, 41, 42, 147, 105, 98, 141, 26, 25, 79, 148, 78, 101, 153, 0, 0, 16, 39\n ];\n\n let eph_sk = 0x1358d15019d4639393d62b97e1588c095957ce74a1c32d6ec7d62fe6705d9538;\n let _ = OracleMock::mock(\"getRandomField\").returns(eph_sk);\n\n let recipient = AztecAddress::from_field(0x10ee41ee4b62703b16f61e03cb0d88c4b306a9eb4a6ceeb2aff13428541689a2);\n\n let log: [u8; 448] = compute_encrypted_log(contract_address, ovsk_app, ovpk_m, ivpk_m, recipient, plaintext);\n\n // The following value was generated by `tagged_log.test.ts`\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let encrypted_log_from_typescript = [\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 141, 70, 12, 14, 67, 77, 132, 110, 193, 234, 40, 110, 64, 144, 235, 86, 55, 111, 242, 123, 221, 193, 170, 202, 225, 216, 86, 84, 159, 112, 31, 167, 126, 79, 51, 186, 47, 71, 253, 172, 99, 112, 241, 59, 197, 241, 107, 186, 232, 87, 187, 230, 171, 62, 228, 234, 42, 51, 145, 146, 238, 242, 42, 71, 206, 13, 244, 66, 111, 195, 20, 203, 98, 148, 204, 242, 145, 183, 156, 29, 141, 54, 44, 220, 194, 35, 229, 16, 32, 204, 211, 49, 142, 112, 82, 202, 116, 241, 254, 146, 42, 217, 20, 189, 70, 228, 182, 171, 205, 104, 27, 99, 171, 28, 91, 244, 21, 30, 130, 240, 5, 72, 174, 124, 97, 197, 157, 248, 193, 23, 193, 76, 46, 141, 144, 70, 211, 45, 67, 167, 218, 129, 140, 104, 190, 41, 110, 249, 209, 68, 106, 135, 164, 80, 235, 63, 101, 80, 32, 13, 38, 99, 145, 91, 11, 173, 151, 231, 247, 65, 153, 117, 229, 167, 64, 239, 182, 126, 235, 83, 4, 169, 8, 8, 160, 4, 235, 252, 21, 96, 84, 161, 69, 145, 145, 215, 254, 161, 117, 246, 198, 65, 89, 179, 194, 90, 19, 121, 12, 202, 114, 80, 195, 14, 60, 128, 105, 142, 100, 86, 90, 108, 157, 219, 22, 172, 20, 121, 195, 25, 159, 236, 2, 70, 75, 42, 37, 34, 2, 17, 149, 20, 176, 32, 18, 204, 56, 117, 121, 34, 15, 3, 88, 123, 64, 68, 74, 233, 63, 59, 131, 222, 194, 192, 167, 110, 217, 10, 128, 73, 129, 172, 61, 43, 12, 98, 165, 203, 191, 154, 161, 150, 4, 239, 95, 48, 60, 159, 33, 222, 142, 102, 73, 193, 236, 145, 197, 160, 216, 254, 113, 243, 25, 244, 251, 192, 222, 35, 7, 114, 101, 35, 152, 151, 112, 24, 32, 94, 138, 71, 160, 91, 68, 131, 217, 117, 140, 19, 147, 37, 197, 192, 21, 43, 172, 239, 239, 205, 15, 110, 76, 26, 211, 42, 117, 4, 15, 135, 145, 247, 37, 73, 84, 164, 149, 250, 35, 0, 205, 105, 178, 143, 104, 98, 100, 250, 193, 154, 136, 175, 177, 109, 225, 207, 252, 147, 250, 250, 189, 117, 147, 101, 230, 132\n ];\n assert_eq(encrypted_log_from_typescript, log);\n }\n\n #[test]\n fn test_incoming_body_ciphertext_matches_typescript() {\n // All the values in this test were copied over from `encrypted_note_log_incoming_body.test.ts`\n let eph_sk = Scalar {\n lo: 0x00000000000000000000000000000000649e7ca01d9de27b21624098b897babd,\n hi: 0x0000000000000000000000000000000023b3127c127b1f29a7adff5cccf8fb06\n };\n let ivpk = IvpkM {\n inner: Point {\n x: 0x2688431c705a5ff3e6c6f2573c9e3ba1c1026d2251d0dbbf2d810aa53fd1d186,\n y: 0x1e96887b117afca01c00468264f4f80b5bb16d94c1808a448595f115556e5c8e,\n is_infinite: false\n }\n };\n let plaintext = [\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3\n ];\n\n // `compute_incoming_body_ciphertext(...)` function then derives symmetric key from `eph_sk` and `ivpk` and encrypts\n // the note plaintext using AES-128.\n let ciphertext = compute_incoming_body_ciphertext(plaintext, eph_sk, ivpk);\n\n // The following value was generated by `encrypted_note_log_incoming_body.test.ts`.\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let note_body_ciphertext_from_typescript = [\n 226, 240, 253, 6, 28, 52, 19, 131, 33, 132, 178, 212, 245, 62, 14, 190, 147, 228, 160, 190, 146, 61, 95, 203, 124, 153, 68, 168, 17, 150, 92, 0, 99, 214, 85, 64, 191, 78, 157, 131, 149, 96, 236, 253, 96, 172, 157, 30, 27, 176, 228, 74, 242, 190, 138, 48, 33, 93, 46, 37, 223, 130, 25, 245, 188, 163, 159, 223, 187, 24, 139, 206, 131, 154, 159, 130, 37, 17, 158, 114, 242, 141, 124, 193, 232, 54, 146, 96, 145, 100, 125, 234, 57, 43, 95, 115, 183, 39, 121, 232, 134, 229, 148, 25, 46, 77, 87, 127, 95, 7, 77, 188, 37, 234, 245, 142, 232, 87, 252, 28, 67, 67, 90, 214, 254, 89, 47, 68, 66, 187, 227, 8, 59, 162, 25, 141, 97, 141, 217, 197, 115, 15, 212, 202, 157, 41, 150, 62, 219, 57, 224, 92, 185, 212, 142, 94, 146, 41, 178, 145, 68, 169, 23, 185, 206, 138, 70, 47, 176, 210, 165, 236, 23, 206, 229, 108\n ];\n\n assert_eq(note_body_ciphertext_from_typescript.len(), ciphertext.len());\n\n for i in 0..note_body_ciphertext_from_typescript.len() {\n assert_eq(ciphertext[i], note_body_ciphertext_from_typescript[i]);\n }\n }\n\n #[test]\n fn test_encrypted_log_outgoing_body_matches_typescript() {\n let eph_sk = Scalar {\n lo: 0x00000000000000000000000000000000d0d302ee245dfaf2807e604eec4715fe,\n hi: 0x000000000000000000000000000000000f096b423017226a18461115fa8d34bb\n };\n let recipient_ivsk = Scalar {\n lo: 0x000000000000000000000000000000004828f8f95676ebb481df163f87fd4022,\n hi: 0x000000000000000000000000000000000f4d97c25d578f9348251a71ca17ae31\n };\n let sender_ovsk_app = Scalar {\n lo: 0x0000000000000000000000000000000074d2e28c6bc5176ac02cf7c7d36a444e,\n hi: 0x00000000000000000000000000000000089c6887cb1446d86c64e81afc78048b\n };\n\n let eph_pk = derive_public_key(eph_sk);\n let recipient_ivpk = IvpkM { inner: derive_public_key(recipient_ivsk) };\n\n let recipient = AztecAddress::from_field(0xdeadbeef);\n\n let ciphertext = compute_outgoing_body_ciphertext(recipient, recipient_ivpk, sender_ovsk_app, eph_sk, eph_pk);\n\n // The following value was generated by `encrypted_log_outgoing_body.test.ts`\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let outgoing_body_ciphertext_from_typescript = [\n 127, 182, 227, 75, 192, 197, 54, 47, 168, 134, 233, 148, 251, 46, 86, 12, 73, 50, 238, 50, 31, 174, 27, 202, 110, 77, 161, 197, 244, 124, 17, 100, 143, 150, 232, 14, 156, 248, 43, 177, 16, 82, 244, 103, 88, 74, 84, 200, 15, 65, 187, 14, 163, 60, 91, 22, 104, 31, 211, 190, 124, 121, 79, 92, 239, 65, 185, 106, 51, 178, 168, 137, 84, 43, 79, 158, 151, 152, 83, 42, 170, 13, 106, 209, 254, 74, 39, 145, 73, 215, 17, 234, 196, 89, 30, 58, 120, 127, 88, 69, 121, 61, 18, 206, 89, 118, 243, 238, 177, 71, 73, 47, 147, 4, 155, 25, 173, 248, 206, 52, 17, 180, 122, 186, 106, 191, 252, 102, 197, 91, 16, 39, 94, 91, 224, 30, 168, 177, 26, 144, 5, 124, 128, 6\n ];\n\n for i in 0..outgoing_body_ciphertext_from_typescript.len() {\n assert_eq(ciphertext[i], outgoing_body_ciphertext_from_typescript[i]);\n }\n assert_eq(outgoing_body_ciphertext_from_typescript.len(), ciphertext.len());\n }\n}\n"},"113":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/execution.nr","source":"use dep::protocol_types::address::AztecAddress;\n\n#[oracle(getContractAddress)]\nunconstrained fn get_contract_address_oracle() -> AztecAddress {}\n\n#[oracle(getBlockNumber)]\nunconstrained fn get_block_number_oracle() -> u32 {}\n\n#[oracle(getChainId)]\nunconstrained fn get_chain_id_oracle() -> Field {}\n\n#[oracle(getVersion)]\nunconstrained fn get_version_oracle() -> Field {}\n\nunconstrained pub fn get_contract_address() -> AztecAddress {\n get_contract_address_oracle()\n}\n\nunconstrained pub fn get_block_number() -> u32 {\n get_block_number_oracle()\n}\n\nunconstrained pub fn get_chain_id() -> Field {\n get_chain_id_oracle()\n}\n\nunconstrained pub fn get_version() -> Field {\n get_version_oracle()\n}\n"},"114":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/key_validation_request.nr","source":"use dep::protocol_types::abis::validation_requests::{KeyValidationRequest, key_validation_request::KEY_VALIDATION_REQUEST_LENGTH};\n\n#[oracle(getKeyValidationRequest)]\nunconstrained fn get_key_validation_request_oracle(\n _pk_m_hash: Field,\n _key_index: Field\n) -> [Field; KEY_VALIDATION_REQUEST_LENGTH] {}\n\nunconstrained fn get_key_validation_request_internal(\n npk_m_hash: Field,\n key_index: Field\n) -> KeyValidationRequest {\n let result = get_key_validation_request_oracle(npk_m_hash, key_index);\n KeyValidationRequest::deserialize(result)\n}\n\nunconstrained pub fn get_key_validation_request(\n pk_m_hash: Field,\n key_index: Field\n) -> KeyValidationRequest {\n get_key_validation_request_internal(pk_m_hash, key_index)\n}\n"},"116":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/random.nr","source":"/// Returns an unconstrained random value. Note that it is not possible to constrain this value to prove that it is\n/// truly random: we assume that the oracle is cooperating and returning random values.\n/// In some applications this behavior might not be acceptable and other techniques might be more suitable, such as\n/// producing pseudo-random values by hashing values outside of user control (like block hashes) or secrets.\nunconstrained pub fn random() -> Field {\n rand_oracle()\n}\n\n#[oracle(getRandomField)]\nunconstrained fn rand_oracle() -> Field {}\n"},"117":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/notes.nr","source":"use crate::note::{note_header::NoteHeader, note_interface::NoteInterface};\n\nuse dep::protocol_types::{address::AztecAddress, utils::arr_copy_slice};\n\n/// Notifies the simulator that a note has been created, so that it can be returned in future read requests in the same\n/// transaction. This note should only be added to the non-volatile database if found in an actual block.\npub fn notify_created_note(\n storage_slot: Field,\n note_type_id: Field,\n serialized_note: [Field; N],\n note_hash: Field,\n counter: u32\n) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n notify_created_note_oracle_wrapper(storage_slot, note_type_id, serialized_note, note_hash, counter)\n };\n}\n\n/// Notifies the simulator that a note has been nullified, so that it is no longer returned in future read requests in\n/// the same transaction. This note should only be removed to the non-volatile database if its nullifier is found in an\n/// actual block.\npub fn notify_nullified_note(nullifier: Field, note_hash: Field, counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n notify_nullified_note_oracle_wrapper(nullifier, note_hash, counter)\n };\n}\n\nunconstrained fn notify_created_note_oracle_wrapper(\n storage_slot: Field,\n note_type_id: Field,\n serialized_note: [Field; N],\n note_hash: Field,\n counter: u32\n) {\n let _ = notify_created_note_oracle(storage_slot, note_type_id, serialized_note, note_hash, counter);\n}\n\n#[oracle(notifyCreatedNote)]\nunconstrained fn notify_created_note_oracle(\n _storage_slot: Field,\n _note_type_id: Field,\n _serialized_note: [Field; N],\n _note_hash: Field,\n _counter: u32\n) -> Field {}\n\nunconstrained fn notify_nullified_note_oracle_wrapper(\n nullifier: Field,\n note_hash: Field,\n counter: u32\n) {\n let _ = notify_nullified_note_oracle(nullifier, note_hash, counter);\n}\n\n#[oracle(notifyNullifiedNote)]\nunconstrained fn notify_nullified_note_oracle(_nullifier: Field, _note_hash: Field, _counter: u32) -> Field {}\n\n#[oracle(getNotes)]\nunconstrained fn get_notes_oracle(\n _storage_slot: Field,\n _num_selects: u8,\n _select_by_indexes: [u8; N],\n _select_by_offsets: [u8; N],\n _select_by_lengths: [u8; N],\n _select_values: [Field; N],\n _select_comparators: [u8; N],\n _sort_by_indexes: [u8; N],\n _sort_by_offsets: [u8; N],\n _sort_by_lengths: [u8; N],\n _sort_order: [u8; N],\n _limit: u32,\n _offset: u32,\n _status: u8,\n _return_size: u32,\n _placeholder_fields: [Field; S]\n) -> [Field; S] {}\n\nunconstrained fn get_notes_oracle_wrapper(\n storage_slot: Field,\n num_selects: u8,\n select_by_indexes: [u8; N],\n select_by_offsets: [u8; N],\n select_by_lengths: [u8; N],\n select_values: [Field; N],\n select_comparators: [u8; N],\n sort_by_indexes: [u8; N],\n sort_by_offsets: [u8; N],\n sort_by_lengths: [u8; N],\n sort_order: [u8; N],\n limit: u32,\n offset: u32,\n status: u8,\n mut placeholder_fields: [Field; S]\n) -> [Field; S] {\n let return_size = placeholder_fields.len() as u32;\n get_notes_oracle(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n limit,\n offset,\n status,\n return_size,\n placeholder_fields\n )\n}\n\nunconstrained pub fn get_notes(\n storage_slot: Field,\n num_selects: u8,\n select_by_indexes: [u8; M],\n select_by_offsets: [u8; M],\n select_by_lengths: [u8; M],\n select_values: [Field; M],\n select_comparators: [u8; M],\n sort_by_indexes: [u8; M],\n sort_by_offsets: [u8; M],\n sort_by_lengths: [u8; M],\n sort_order: [u8; M],\n limit: u32,\n offset: u32,\n status: u8,\n mut placeholder_opt_notes: [Option; S], // TODO: Remove it and use `limit` to initialize the note array.\n placeholder_fields: [Field; NS], // TODO: Remove it and use `limit` to initialize the note array.\n _placeholder_note_length: [Field; N] // Turbofish hack? Compiler breaks calculating read_offset unless we add this parameter\n) -> [Option; S] where Note: NoteInterface {\n let fields = get_notes_oracle_wrapper(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n limit,\n offset,\n status,\n placeholder_fields\n );\n let num_notes = fields[0] as u32;\n let contract_address = AztecAddress::from_field(fields[1]);\n for i in 0..placeholder_opt_notes.len() {\n if i < num_notes {\n // lengths named as per typescript.\n let return_header_length: u32 = 2; // num_notes & contract_address.\n let extra_preimage_length: u32 = 2; // nonce & note_hash_counter.\n let read_offset: u32 = return_header_length + i * (N + extra_preimage_length);\n let nonce = fields[read_offset];\n let note_hash_counter = fields[read_offset + 1] as u32;\n let header = NoteHeader { contract_address, nonce, storage_slot, note_hash_counter };\n let serialized_note = arr_copy_slice(fields, [0; N], read_offset + 2);\n let mut note = Note::deserialize_content(serialized_note);\n note.set_header(header);\n placeholder_opt_notes[i] = Option::some(note);\n };\n }\n placeholder_opt_notes\n}\n\n/// Returns true if the nullifier exists. Note that a `true` value can be constrained by proving existence of the\n/// nullifier, but a `false` value should not be relied upon since other transactions may emit this nullifier before the\n/// current transaction is included in a block. While this might seem of little use at first, certain design patterns\n/// benefit from this abstraction (see e.g. `PrivateMutable`).\nunconstrained pub fn check_nullifier_exists(inner_nullifier: Field) -> bool {\n check_nullifier_exists_oracle(inner_nullifier) == 1\n}\n\n#[oracle(checkNullifierExists)]\nunconstrained fn check_nullifier_exists_oracle(_inner_nullifier: Field) -> Field {}\n"},"119":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/keys.nr","source":"use crate::keys::{PublicKeys, public_keys::{NpkM, IvpkM, OvpkM, TpkM}};\nuse dep::protocol_types::{address::{AztecAddress, PartialAddress}, point::Point};\n\n#[oracle(getPublicKeysAndPartialAddress)]\nunconstrained fn get_public_keys_and_partial_address_oracle(_address: AztecAddress) -> [Field; 13] {}\n\nunconstrained pub fn get_public_keys_and_partial_address(address: AztecAddress) -> (PublicKeys, PartialAddress) {\n let result = get_public_keys_and_partial_address_oracle(address);\n\n let keys = PublicKeys {\n npk_m: NpkM { inner: Point { x: result[0], y: result[1], is_infinite: result[2] as bool } },\n ivpk_m: IvpkM { inner: Point { x: result[3], y: result[4], is_infinite: result[5] as bool } },\n ovpk_m: OvpkM { inner: Point { x: result[6], y: result[7], is_infinite: result[8] as bool } },\n tpk_m: TpkM { inner: Point { x: result[9], y: result[10], is_infinite: result[11] as bool } }\n };\n\n let partial_address = PartialAddress::from_field(result[12]);\n\n (keys, partial_address)\n}\n"},"123":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/logs.nr","source":"use dep::protocol_types::address::AztecAddress;\n\n/// Informs the simulator that an encrypted note log has been emitted, helping it keep track of side-effects and easing\n/// debugging.\npub fn emit_encrypted_note_log(note_hash_counter: u32, encrypted_note: [u8; M], counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n emit_encrypted_note_log_oracle_wrapper(note_hash_counter, encrypted_note, counter)\n }\n}\n\n/// Informs the simulator that an encrypted event log has been emitted, helping it keep track of side-effects and easing\n/// debugging.\npub fn emit_encrypted_event_log(contract_address: AztecAddress, randomness: Field, encrypted_event: [u8; M], counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n emit_encrypted_event_log_oracle_wrapper(contract_address, randomness, encrypted_event, counter)\n }\n}\n\n/// Informs the simulator that an unencrypted log has been emitted, helping it keep track of side-effects and easing\n/// debugging.\npub fn emit_unencrypted_log_private(contract_address: AztecAddress, message: T, counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n emit_unencrypted_log_private_oracle_wrapper(contract_address, message, counter)\n }\n}\n\nunconstrained fn emit_encrypted_note_log_oracle_wrapper(note_hash_counter: u32, encrypted_note: [u8; M], counter: u32) {\n emit_encrypted_note_log_oracle(note_hash_counter, encrypted_note, counter)\n}\n\nunconstrained fn emit_encrypted_event_log_oracle_wrapper(\n contract_address: AztecAddress,\n randomness: Field,\n encrypted_event: [u8; M],\n counter: u32\n) {\n emit_encrypted_event_log_oracle(contract_address, randomness, encrypted_event, counter)\n}\n\nunconstrained fn emit_unencrypted_log_private_oracle_wrapper(contract_address: AztecAddress, message: T, counter: u32) {\n let _ = emit_unencrypted_log_private_oracle(contract_address, message, counter);\n}\n\n/// Temporary substitute for `emit_unencrypted_log_private` that is used for handling contract class registration. This\n/// variant returns the log hash, which would be too large to compute inside a circuit.\nunconstrained pub fn emit_contract_class_unencrypted_log_private(\n contract_address: AztecAddress,\n message: [Field; N],\n counter: u32\n) -> Field {\n emit_contract_class_unencrypted_log_private_oracle(contract_address, message, counter)\n}\n\n// = 480 + 32 * N bytes\n#[oracle(emitEncryptedNoteLog)]\nunconstrained fn emit_encrypted_note_log_oracle(\n _note_hash_counter: u32,\n _encrypted_note: [u8; M],\n _counter: u32\n) {}\n\n#[oracle(emitEncryptedEventLog)]\nunconstrained fn emit_encrypted_event_log_oracle(\n _contract_address: AztecAddress,\n _randomness: Field,\n _encrypted_event: [u8; M],\n _counter: u32\n) {}\n\n#[oracle(emitUnencryptedLog)]\nunconstrained fn emit_unencrypted_log_private_oracle(\n _contract_address: AztecAddress,\n _message: T,\n _counter: u32\n) -> Field {}\n\n#[oracle(emitContractClassUnencryptedLog)]\nunconstrained fn emit_contract_class_unencrypted_log_private_oracle(\n contract_address: AztecAddress,\n message: [Field; N],\n counter: u32\n) -> Field {}\n"},"127":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/get_contract_instance.nr","source":"use dep::protocol_types::{\n address::AztecAddress, contract_instance::ContractInstance, constants::CONTRACT_INSTANCE_LENGTH,\n utils::reader::Reader\n};\n\n#[oracle(getContractInstance)]\nunconstrained fn get_contract_instance_oracle(_address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH] {}\n\n// Returns a ContractInstance plus a boolean indicating whether the instance was found.\n#[oracle(avmOpcodeGetContractInstance)]\nunconstrained fn get_contract_instance_oracle_avm(_address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH + 1] {}\n\nunconstrained fn get_contract_instance_internal(address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH] {\n get_contract_instance_oracle(address)\n}\n\nunconstrained pub fn get_contract_instance_internal_avm(address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH + 1] {\n get_contract_instance_oracle_avm(address)\n}\n\npub fn get_contract_instance(address: AztecAddress) -> ContractInstance {\n let instance = unsafe {\n ContractInstance::deserialize(get_contract_instance_internal(address))\n };\n // The to_address function combines all values in the instance object to produce an address, so by checking that we\n // get the expected address we validate the entire struct.\n assert_eq(instance.to_address(), address);\n\n instance\n}\n\npub fn get_contract_instance_avm(address: AztecAddress) -> Option {\n let mut reader = Reader::new(get_contract_instance_internal_avm(address));\n let found = reader.read();\n if found == 0 {\n Option::none()\n } else {\n Option::some(reader.read_struct(ContractInstance::deserialize))\n }\n}\n"},"135":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/utils/point.nr","source":"use dep::protocol_types::point::Point;\n\n// I am storing the modulus divided by 2 plus 1 here because full modulus would throw \"String literal too large\" error\n// Full modulus is 21888242871839275222246405745257275088548364400416034343698204186575808495617\nglobal BN254_FR_MODULUS_DIV_2: Field = 10944121435919637611123202872628637544274182200208017171849102093287904247808;\n\n/// Converts a public key to a byte array.\n///\n/// We don't serialize the point at infinity flag because this function is used in situations where we do not want\n/// to waste the extra byte (encrypted log).\npub fn point_to_bytes(pk: Point) -> [u8; 32] {\n // Note that there is 1 more free bit in the 32 bytes (254 bits currently occupied by the x coordinate, 1 bit for\n // the \"sign\") so it's possible to use that last bit as an \"is_infinite\" flag if desired in the future.\n assert(!pk.is_infinite, \"Cannot serialize point at infinity as bytes.\");\n\n let mut result: [u8; 32] = pk.x.to_be_bytes();\n\n // We store only a \"sign\" of the y coordinate because the rest can be derived from the x coordinate. To get\n // the sign we check if the y coordinate is less or equal than the curve's order minus 1 divided by 2.\n // Ideally we'd do `y <= MOD_DIV_2`, but there's no `lte` function, so instead we do `!(y > MOD_DIV_2)`, which is\n // equivalent, and then rewrite that as `!(MOD_DIV_2 < y)`, since we also have no `gt` function.\n if !BN254_FR_MODULUS_DIV_2.lt(pk.y) {\n // y is <= (modulus - 1) / 2 so we set the sign bit to 1\n // Here we leverage that field fits into 254 bits (log2(Fr.MODULUS) < 254) and given that we serialize Fr to 32\n // bytes and we use big-endian the 2 most significant bits are never populated. Hence we can use one of\n // the bits as a sign bit.\n result[0] += 128;\n }\n\n result\n}\n\nmod test {\n use dep::protocol_types::point::Point;\n use crate::utils::point::point_to_bytes;\n\n #[test]\n unconstrained fn test_point_to_bytes_positive_sign() {\n let p = Point {\n x: 0x1af41f5de96446dc3776a1eb2d98bb956b7acd9979a67854bec6fa7c2973bd73,\n y: 0x07fc22c7f2c7057571f137fe46ea9c95114282bc95d37d71ec4bfb88de457d4a,\n is_infinite: false\n };\n\n let compressed_point = point_to_bytes(p);\n\n let expected_compressed_point_positive_sign = [\n 154, 244, 31, 93, 233, 100, 70, 220, 55, 118, 161, 235, 45, 152, 187, 149, 107, 122, 205, 153, 121, 166, 120, 84, 190, 198, 250, 124, 41, 115, 189, 115\n ];\n\n assert_eq(expected_compressed_point_positive_sign.len(), compressed_point.len());\n for i in 0..expected_compressed_point_positive_sign.len() {\n assert_eq(compressed_point[i], expected_compressed_point_positive_sign[i]);\n }\n }\n\n #[test]\n unconstrained fn test_point_to_bytes_negative_sign() {\n let p = Point {\n x: 0x247371652e55dd74c9af8dbe9fb44931ba29a9229994384bd7077796c14ee2b5,\n y: 0x26441aec112e1ae4cee374f42556932001507ad46e255ffb27369c7e3766e5c0,\n is_infinite: false\n };\n\n let compressed_point = point_to_bytes(p);\n\n let expected_compressed_point_negative_sign = [\n 36, 115, 113, 101, 46, 85, 221, 116, 201, 175, 141, 190, 159, 180, 73, 49, 186, 41, 169, 34, 153, 148, 56, 75, 215, 7, 119, 150, 193, 78, 226, 181\n ];\n\n assert_eq(expected_compressed_point_negative_sign.len(), compressed_point.len());\n for i in 0..expected_compressed_point_negative_sign.len() {\n assert_eq(compressed_point[i], expected_compressed_point_negative_sign[i]);\n }\n }\n}\n"},"153":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/initializer.nr","source":"use dep::protocol_types::{\n address::AztecAddress, hash::poseidon2_hash_with_separator, constants::GENERATOR_INDEX__CONSTRUCTOR,\n abis::function_selector::FunctionSelector\n};\n\nuse crate::{\n context::{PrivateContext, PublicContext}, oracle::get_contract_instance::get_contract_instance,\n oracle::get_contract_instance::get_contract_instance_avm\n};\n\npub fn mark_as_initialized_public(context: &mut PublicContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier((*context).this_address());\n context.push_nullifier(init_nullifier);\n}\n\npub fn mark_as_initialized_private(context: &mut PrivateContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier((*context).this_address());\n context.push_nullifier(init_nullifier);\n}\n\npub fn assert_is_initialized_public(context: &mut PublicContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier(context.this_address());\n assert(context.nullifier_exists(init_nullifier, context.this_address()), \"Not initialized\");\n}\n\npub fn assert_is_initialized_private(context: &mut PrivateContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier(context.this_address());\n context.push_nullifier_read_request(init_nullifier);\n}\n\nfn compute_unsiloed_contract_initialization_nullifier(address: AztecAddress) -> Field {\n address.to_field()\n}\n\npub fn assert_initialization_matches_address_preimage_public(context: PublicContext) {\n let address = context.this_address();\n let instance = get_contract_instance_avm(address).unwrap();\n let expected_init = compute_initialization_hash(context.selector(), context.get_args_hash());\n assert(instance.initialization_hash == expected_init, \"Initialization hash does not match\");\n assert(\n (instance.deployer.is_zero()) | (instance.deployer == context.msg_sender()), \"Initializer address is not the contract deployer\"\n );\n}\n\npub fn assert_initialization_matches_address_preimage_private(context: PrivateContext) {\n let address = context.this_address();\n let instance = get_contract_instance(address);\n let expected_init = compute_initialization_hash(context.selector(), context.get_args_hash());\n assert(instance.initialization_hash == expected_init, \"Initialization hash does not match\");\n assert(\n (instance.deployer.is_zero()) | (instance.deployer == context.msg_sender()), \"Initializer address is not the contract deployer\"\n );\n}\n\npub fn compute_initialization_hash(init_selector: FunctionSelector, init_args_hash: Field) -> Field {\n poseidon2_hash_with_separator(\n [init_selector.to_field(), init_args_hash],\n GENERATOR_INDEX__CONSTRUCTOR\n )\n}\n"},"154":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/hash.nr","source":"use dep::protocol_types::{\n address::{AztecAddress, EthAddress},\n constants::{GENERATOR_INDEX__SECRET_HASH, GENERATOR_INDEX__MESSAGE_NULLIFIER, GENERATOR_INDEX__FUNCTION_ARGS},\n point::Point, traits::Hash,\n hash::{sha256_to_field, poseidon2_hash_with_separator, poseidon2_hash_with_separator_slice}\n};\nuse crate::utils::to_bytes::{arr_to_be_bytes_arr, str_to_be_bytes_arr};\n\npub use dep::protocol_types::hash::{compute_siloed_nullifier, pedersen_hash};\n\npub fn pedersen_commitment(inputs: [Field; N], hash_index: u32) -> Point {\n std::hash::pedersen_commitment_with_separator(inputs, hash_index)\n}\n\npub fn compute_secret_hash(secret: Field) -> Field {\n poseidon2_hash_with_separator([secret], GENERATOR_INDEX__SECRET_HASH)\n}\n\npub fn compute_unencrypted_log_hash(contract_address: AztecAddress, log: [u8; N]) -> Field {\n let mut hash_bytes = [0; N + 36];\n // Address is converted to 32 bytes in ts\n let address_bytes: [u8; 32] = contract_address.to_field().to_be_bytes();\n for i in 0..32 {\n hash_bytes[i] = address_bytes[i];\n }\n let len_bytes: [u8; 4] = (N as Field).to_be_bytes();\n for i in 0..4 {\n hash_bytes[32 + i] = len_bytes[i];\n }\n for i in 0..N {\n hash_bytes[36 + i] = log[i];\n }\n\n sha256_to_field(hash_bytes)\n}\n\npub fn compute_message_hash(\n sender: EthAddress,\n chain_id: Field,\n recipient: AztecAddress,\n version: Field,\n content: Field,\n secret_hash: Field\n) -> Field {\n let mut hash_bytes = [0 as u8; 192];\n let sender_bytes: [u8; 32] = sender.to_field().to_be_bytes();\n let chain_id_bytes: [u8; 32] = chain_id.to_be_bytes();\n let recipient_bytes: [u8; 32] = recipient.to_field().to_be_bytes();\n let version_bytes: [u8; 32] = version.to_be_bytes();\n let content_bytes: [u8; 32] = content.to_be_bytes();\n let secret_hash_bytes: [u8; 32] = secret_hash.to_be_bytes();\n\n for i in 0..32 {\n hash_bytes[i] = sender_bytes[i];\n hash_bytes[i + 32] = chain_id_bytes[i];\n hash_bytes[i + 64] = recipient_bytes[i];\n hash_bytes[i + 96] = version_bytes[i];\n hash_bytes[i + 128] = content_bytes[i];\n hash_bytes[i + 160] = secret_hash_bytes[i];\n }\n\n sha256_to_field(hash_bytes)\n}\n\n// The nullifier of a l1 to l2 message is the hash of the message salted with the secret and index of the message hash\n// in the L1 to L2 message tree\npub fn compute_message_nullifier(message_hash: Field, secret: Field, leaf_index: Field) -> Field {\n poseidon2_hash_with_separator(\n [message_hash, secret, leaf_index],\n GENERATOR_INDEX__MESSAGE_NULLIFIER\n )\n}\n\npub struct ArgsHasher {\n fields: [Field],\n}\n\nimpl Hash for ArgsHasher {\n fn hash(self) -> Field {\n hash_args(self.fields)\n }\n}\n\nimpl ArgsHasher {\n pub fn new() -> Self {\n Self { fields: [] }\n }\n\n pub fn add(&mut self, field: Field) {\n self.fields = self.fields.push_back(field);\n }\n\n pub fn add_multiple(&mut self, fields: [Field; N]) {\n for i in 0..N {\n self.fields = self.fields.push_back(fields[i]);\n }\n }\n}\n\npub fn hash_args_array(args: [Field; N]) -> Field {\n if args.len() == 0 {\n 0\n } else {\n poseidon2_hash_with_separator(args, GENERATOR_INDEX__FUNCTION_ARGS)\n }\n}\n\npub fn hash_args(args: [Field]) -> Field {\n if args.len() == 0 {\n 0\n } else {\n poseidon2_hash_with_separator_slice(args, GENERATOR_INDEX__FUNCTION_ARGS)\n }\n}\n\n#[test]\nunconstrained fn compute_var_args_hash() {\n let mut input = ArgsHasher::new();\n for i in 0..100 {\n input.add(i as Field);\n }\n let hash = input.hash();\n dep::std::println(hash);\n assert(hash == 0x19b0d74feb06ebde19edd85a28986c97063e84b3b351a8b666c7cac963ce655f);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_array() {\n let contract_address = AztecAddress::from_field(0x233a3e0df23b2b15b324194cb4a151f26c0b7333250781d34cc269d85dc334c6);\n let log = [\n 0x20660de09f35f876e3e69d227b2a35166ad05f09d82d06366ec9b6f65a51fec2,\n 0x1b52bfe3b8689761916f76dc3d38aa8810860db325cd39ca611eed980091f01c,\n 0x2e559c4045c378a56ad13b9edb1e8de4e7ad3b3aa35cc7ba9ec77f7a68fa43a4,\n 0x25d0f689c4a4178a29d59306f2675824d19be6d25e44fa03b03f49c263053dd2,\n 0x2d513a722d6f352dc0961f156afdc5e31495b9f0e35cb069261a8e55e2df67fd\n ];\n let serialized_log = arr_to_be_bytes_arr(log);\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x0095b2d17ab72f4b27a341f7ac63e49ec73935ae8c9181a0ac02023eb12f3284);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_addr() {\n let contract_address = AztecAddress::from_field(0x233a3e0df23b2b15b324194cb4a151f26c0b7333250781d34cc269d85dc334c6);\n let log = AztecAddress::from_field(0x26aa302d4715fd8a687453cb26d616b0768027bd54bcae56b09d908ecd9f8303);\n let serialized_log: [u8; 32] = log.to_field().to_be_bytes();\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x0083ab647dfb26e7ddee90a0f4209d049d4660cab42000c544b986aaa84c55a3);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_str() {\n let contract_address = AztecAddress::from_field(0x1b401e1146c5c507962287065c81f0ef7590adae3802c533d7549d6bf0a41bd8);\n let log = \"dummy\";\n let serialized_log = str_to_be_bytes_arr(log);\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x00629e88ebd6374f44aa6cfe07e251ecf07213ebc7267e8f6b578ae57ffd6c20);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_longer_str() {\n let contract_address = AztecAddress::from_field(0x1b401e1146c5c507962287065c81f0ef7590adae3802c533d7549d6bf0a41bd8);\n let log = \"Hello this is a string\";\n let serialized_log = str_to_be_bytes_arr(log);\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x0098637962f7d34fa202b7ffad8a07a238c5d1fd897b82a108f7f467fa73b841);\n}\n"},"157":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/keys/point_to_symmetric_key.nr","source":"use dep::protocol_types::{constants::GENERATOR_INDEX__SYMMETRIC_KEY, scalar::Scalar, point::Point, utils::arr_copy_slice};\nuse crate::utils::point::point_to_bytes;\nuse std::{hash::sha256, embedded_curve_ops::multi_scalar_mul};\n\n// TODO(#5726): This function is called deriveAESSecret in TS. I don't like point_to_symmetric_key name much since\n// point is not the only input of the function. Unify naming with TS once we have a better name.\npub fn point_to_symmetric_key(secret: Scalar, point: Point) -> [u8; 32] {\n let shared_secret: Point = multi_scalar_mul([point], [secret]);\n let shared_secret = point_to_bytes(shared_secret);\n let mut shared_secret_bytes_with_separator = [0 as u8; 33];\n shared_secret_bytes_with_separator = arr_copy_slice(shared_secret, shared_secret_bytes_with_separator, 0);\n shared_secret_bytes_with_separator[32] = GENERATOR_INDEX__SYMMETRIC_KEY;\n sha256(shared_secret_bytes_with_separator)\n}\n\n#[test]\nunconstrained fn test_point_to_symmetric_key_matches_noir() {\n // Value taken from \"derive shared secret\" test in encrypt_buffer.test.ts\n let secret = Scalar {\n lo: 0x00000000000000000000000000000000649e7ca01d9de27b21624098b897babd,\n hi: 0x0000000000000000000000000000000023b3127c127b1f29a7adff5cccf8fb06\n };\n let point = Point {\n x: 0x2688431c705a5ff3e6c6f2573c9e3ba1c1026d2251d0dbbf2d810aa53fd1d186,\n y: 0x1e96887b117afca01c00468264f4f80b5bb16d94c1808a448595f115556e5c8e,\n is_infinite: false\n };\n\n let key = point_to_symmetric_key(secret, point);\n\n // The following value was generated by `encrypt_buffer.test.ts`.\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let key_from_typescript = [\n 251, 232, 177, 34, 2, 174, 35, 92, 165, 118, 168, 3, 153, 140, 46, 210, 203, 154, 184, 158, 236, 33, 95, 77, 93, 120, 72, 88, 190, 209, 64, 159\n ];\n assert_eq(key, key_from_typescript);\n}\n"},"159":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/keys/getters/mod.nr","source":"use dep::protocol_types::address::AztecAddress;\nuse crate::{\n oracle::{keys::get_public_keys_and_partial_address, key_validation_request::get_key_validation_request},\n keys::{public_keys::PublicKeys, constants::{NULLIFIER_INDEX, OUTGOING_INDEX}}\n};\n\nmod test;\n\nunconstrained pub fn get_nsk_app(npk_m_hash: Field) -> Field {\n get_key_validation_request(npk_m_hash, NULLIFIER_INDEX).sk_app\n}\n\n// A helper function that gets app-siloed outgoing viewing key for a given `ovpk_m_hash`. This function is used\n// in unconstrained contexts only - when computing unconstrained note logs. The safe alternative is `request_ovsk_app`\n// function defined on `PrivateContext`.\nunconstrained pub fn get_ovsk_app(ovpk_m_hash: Field) -> Field {\n get_key_validation_request(ovpk_m_hash, OUTGOING_INDEX).sk_app\n}\n\n// Returns all public keys for a given account, applying proper constraints to the context. We read all\n// keys at once since the constraints for reading them all are actually fewer than if we read them one at a time - any\n// read keys that are not required by the caller can simply be discarded.\npub fn get_public_keys(account: AztecAddress) -> PublicKeys {\n let (hinted_canonical_public_keys, partial_address) = unsafe {\n get_public_keys_and_partial_address(account)\n };\n assert_eq(\n account, AztecAddress::compute(hinted_canonical_public_keys.hash(), partial_address), \"Invalid public keys hint for address\"\n );\n\n hinted_canonical_public_keys\n}\n"},"160":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/keys/public_keys.nr","source":"use dep::protocol_types::{\n address::PublicKeysHash, constants::GENERATOR_INDEX__PUBLIC_KEYS_HASH,\n hash::poseidon2_hash_with_separator, point::{Point, POINT_LENGTH},\n traits::{Deserialize, Serialize, Empty, is_empty, Hash}\n};\n\nglobal PUBLIC_KEYS_LENGTH: u32 = 12;\n\npub struct PublicKeys {\n npk_m: NpkM,\n ivpk_m: IvpkM,\n ovpk_m: OvpkM,\n tpk_m: TpkM,\n}\n\npub trait ToPoint {\n fn to_point(self) -> Point;\n}\n\npub struct NpkM {\n inner: Point\n}\n\nimpl ToPoint for NpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Serialize for NpkM {\n fn serialize(self) -> [Field; POINT_LENGTH] {\n self.inner.serialize()\n }\n}\n\n// Note: If we store npk_m_hash directly we can remove this trait implementation. See #8091\nimpl Hash for NpkM {\n fn hash(self) -> Field {\n self.inner.hash()\n }\n}\n\npub struct IvpkM {\n inner: Point\n}\n\nimpl ToPoint for IvpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Serialize for IvpkM {\n fn serialize(self) -> [Field; POINT_LENGTH] {\n self.inner.serialize()\n }\n}\n\npub struct OvpkM {\n inner: Point\n}\n\nimpl Hash for OvpkM {\n fn hash(self) -> Field {\n self.inner.hash()\n }\n}\n\nimpl ToPoint for OvpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Serialize for OvpkM {\n fn serialize(self) -> [Field; POINT_LENGTH] {\n self.inner.serialize()\n }\n}\n\npub struct TpkM {\n inner: Point\n}\n\nimpl ToPoint for TpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Empty for PublicKeys {\n fn empty() -> Self {\n PublicKeys {\n npk_m: NpkM { inner: Point::empty() },\n ivpk_m: IvpkM { inner: Point::empty() },\n ovpk_m: OvpkM { inner: Point::empty() },\n tpk_m: TpkM { inner: Point::empty() }\n }\n }\n}\n\nimpl Eq for PublicKeys {\n fn eq(self, other: PublicKeys) -> bool {\n (self.npk_m.inner == other.npk_m.inner)\n & (self.ivpk_m.inner == other.ivpk_m.inner)\n & (self.ovpk_m.inner == other.ovpk_m.inner)\n & (self.tpk_m.inner == other.tpk_m.inner)\n }\n}\n\nimpl PublicKeys {\n pub fn hash(self) -> PublicKeysHash {\n PublicKeysHash::from_field(\n if is_empty(self) {\n 0\n } else {\n poseidon2_hash_with_separator(self.serialize(), GENERATOR_INDEX__PUBLIC_KEYS_HASH as Field)\n }\n )\n }\n}\n\nimpl Serialize for PublicKeys {\n fn serialize(self) -> [Field; PUBLIC_KEYS_LENGTH] {\n [\n self.npk_m.inner.x,\n self.npk_m.inner.y,\n self.npk_m.inner.is_infinite as Field,\n self.ivpk_m.inner.x,\n self.ivpk_m.inner.y,\n self.ivpk_m.inner.is_infinite as Field,\n self.ovpk_m.inner.x,\n self.ovpk_m.inner.y,\n self.ovpk_m.inner.is_infinite as Field,\n self.tpk_m.inner.x,\n self.tpk_m.inner.y,\n self.tpk_m.inner.is_infinite as Field\n ]\n }\n}\n\nimpl Deserialize for PublicKeys {\n fn deserialize(serialized: [Field; PUBLIC_KEYS_LENGTH]) -> PublicKeys {\n PublicKeys {\n npk_m: NpkM { inner: Point { x: serialized[0], y: serialized[1], is_infinite: serialized[2] as bool } },\n ivpk_m: IvpkM { inner: Point { x: serialized[3], y: serialized[4], is_infinite: serialized[5] as bool } },\n ovpk_m: OvpkM { inner: Point { x: serialized[6], y: serialized[7], is_infinite: serialized[8] as bool } },\n tpk_m: TpkM { inner: Point { x: serialized[9], y: serialized[10], is_infinite: serialized[11] as bool } }\n }\n }\n}\n\n#[test]\nunconstrained fn compute_public_keys_hash() {\n let keys = PublicKeys {\n npk_m: NpkM { inner: Point { x: 1, y: 2, is_infinite: false } },\n ivpk_m: IvpkM { inner: Point { x: 3, y: 4, is_infinite: false } },\n ovpk_m: OvpkM { inner: Point { x: 5, y: 6, is_infinite: false } },\n tpk_m: TpkM { inner: Point { x: 7, y: 8, is_infinite: false } }\n };\n\n let actual = keys.hash();\n let expected_public_keys_hash = 0x0fecd9a32db731fec1fded1b9ff957a1625c069245a3613a2538bd527068b0ad;\n\n assert(actual.to_field() == expected_public_keys_hash);\n}\n\n#[test]\nunconstrained fn compute_empty_hash() {\n let keys = PublicKeys::empty();\n\n let actual = keys.hash();\n let test_data_empty_hash = 0x0000000000000000000000000000000000000000000000000000000000000000;\n\n assert(actual.to_field() == test_data_empty_hash);\n}\n\n#[test]\nunconstrained fn test_public_keys_serialization() {\n let keys = PublicKeys {\n npk_m: NpkM { inner: Point { x: 1, y: 2, is_infinite: false } },\n ivpk_m: IvpkM { inner: Point { x: 3, y: 4, is_infinite: false } },\n ovpk_m: OvpkM { inner: Point { x: 5, y: 6, is_infinite: false } },\n tpk_m: TpkM { inner: Point { x: 7, y: 8, is_infinite: false } }\n };\n\n let serialized = keys.serialize();\n let deserialized = PublicKeys::deserialize(serialized);\n\n assert_eq(keys.npk_m.inner.x, deserialized.npk_m.inner.x);\n assert_eq(keys.npk_m.inner.y, deserialized.npk_m.inner.y);\n assert_eq(keys.ivpk_m.inner.x, deserialized.ivpk_m.inner.x);\n assert_eq(keys.ivpk_m.inner.y, deserialized.ivpk_m.inner.y);\n assert_eq(keys.ovpk_m.inner.x, deserialized.ovpk_m.inner.x);\n assert_eq(keys.ovpk_m.inner.y, deserialized.ovpk_m.inner.y);\n assert_eq(keys.tpk_m.inner.x, deserialized.tpk_m.inner.x);\n assert_eq(keys.tpk_m.inner.y, deserialized.tpk_m.inner.y);\n}\n"},"168":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/state_vars/map.nr","source":"use dep::protocol_types::{storage::map::derive_storage_slot_in_map, traits::ToField};\nuse crate::state_vars::storage::Storage;\n\n// docs:start:map\npub struct Map {\n context: Context,\n storage_slot: Field,\n state_var_constructor: fn(Context, Field) -> V,\n}\n// docs:end:map\n\nimpl Storage for Map {}\n\nimpl Map {\n // docs:start:new\n pub fn new(\n context: Context,\n storage_slot: Field,\n state_var_constructor: fn(Context, Field) -> V\n ) -> Self {\n assert(storage_slot != 0, \"Storage slot 0 not allowed. Storage slots must start from 1.\");\n Map { context, storage_slot, state_var_constructor }\n }\n // docs:end:new\n\n // docs:start:at\n pub fn at(self, key: K) -> V where K: ToField {\n // TODO(#1204): use a generator index for the storage slot\n let derived_storage_slot = derive_storage_slot_in_map(self.storage_slot, key);\n\n let state_var_constructor = self.state_var_constructor;\n state_var_constructor(self.context, derived_storage_slot)\n }\n // docs:end:at\n}\n"},"179":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/state_vars/private_set.nr","source":"use dep::protocol_types::{constants::MAX_NOTE_HASH_READ_REQUESTS_PER_CALL, abis::read_request::ReadRequest};\nuse crate::context::{PrivateContext, PublicContext, UnconstrainedContext};\nuse crate::note::{\n constants::MAX_NOTES_PER_PAGE,\n lifecycle::{create_note, create_note_hash_from_public, destroy_note_unsafe},\n note_getter::{get_notes, view_notes}, note_getter_options::NoteGetterOptions,\n note_interface::{NoteInterface, NullifiableNote}, note_viewer_options::NoteViewerOptions,\n utils::compute_note_hash_for_read_request, note_emission::NoteEmission\n};\nuse crate::state_vars::storage::Storage;\n\n// docs:start:struct\npub struct PrivateSet {\n context: Context,\n storage_slot: Field,\n}\n// docs:end:struct\n\nimpl Storage for PrivateSet {}\n\nimpl PrivateSet {\n // docs:start:new\n pub fn new(context: Context, storage_slot: Field) -> Self {\n assert(storage_slot != 0, \"Storage slot 0 not allowed. Storage slots must start from 1.\");\n PrivateSet { context, storage_slot }\n }\n // docs:end:new\n}\n\nimpl PrivateSet where Note: NoteInterface + NullifiableNote {\n // docs:start:insert_from_public\n pub fn insert_from_public(self, note: &mut Note) {\n create_note_hash_from_public(self.context, self.storage_slot, note);\n }\n // docs:end:insert_from_public\n}\n\nimpl PrivateSet where Note: NoteInterface + NullifiableNote + Eq {\n // docs:start:insert\n pub fn insert(self, note: &mut Note) -> NoteEmission {\n create_note(self.context, self.storage_slot, note)\n }\n // docs:end:insert\n\n pub fn pop_notes(\n self,\n options: NoteGetterOptions\n ) -> BoundedVec {\n let (notes, note_hashes) = get_notes(self.context, self.storage_slot, options);\n // We iterate in a range 0..options.limit instead of 0..notes.len() because options.limit is known at compile\n // time and hence will result in less constraints when set to a lower value than\n // MAX_NOTE_HASH_READ_REQUESTS_PER_CALL.\n for i in 0..options.limit {\n if i < notes.len() {\n let note = notes.get_unchecked(i);\n let note_hash = note_hashes.get_unchecked(i);\n // We immediately destroy the note without doing any of the read request checks `remove` typically\n // performs because we know that the `get_notes` call has already placed those constraints.\n destroy_note_unsafe(self.context, note, note_hash);\n }\n }\n\n notes\n }\n\n /// Note that if you obtained the note via `get_notes` it's much better to use `pop_notes` as `pop_notes` results\n /// in significantly less constrains due to avoiding an extra hash and read request check.\n pub fn remove(self, note: Note) {\n let note_hash = compute_note_hash_for_read_request(note);\n let has_been_read = self.context.note_hash_read_requests.any(|r: ReadRequest| r.value == note_hash);\n assert(has_been_read, \"Can only remove a note that has been read from the set.\");\n\n destroy_note_unsafe(self.context, note, note_hash);\n }\n\n /// Note that if you later on remove the note it's much better to use `pop_notes` as `pop_notes` results\n /// in significantly less constrains due to avoiding 1 read request check.\n pub fn get_notes(\n self,\n options: NoteGetterOptions\n ) -> BoundedVec {\n get_notes(self.context, self.storage_slot, options).0\n }\n}\n\nimpl PrivateSet where Note: NoteInterface + NullifiableNote {\n // docs:start:view_notes\n unconstrained pub fn view_notes(\n self,\n options: NoteViewerOptions\n ) -> BoundedVec {\n view_notes(self.storage_slot, options)\n }\n // docs:end:view_notes\n}\n"},"221":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/abis/validation_requests/key_validation_request.nr","source":"use crate::{traits::{Empty, Serialize, Deserialize}, point::Point};\npub use crate::constants::KEY_VALIDATION_REQUEST_LENGTH;\n\npub struct KeyValidationRequest {\n pk_m: Point,\n sk_app: Field, // not a grumpkin scalar because it's output of poseidon2\n}\n\nimpl Eq for KeyValidationRequest {\n fn eq(self, request: KeyValidationRequest) -> bool {\n (request.pk_m.eq(self.pk_m)) & (request.sk_app.eq(self.sk_app))\n }\n}\n\nimpl Empty for KeyValidationRequest {\n fn empty() -> Self {\n KeyValidationRequest { pk_m: Point::empty(), sk_app: 0 }\n }\n}\n\nimpl Serialize for KeyValidationRequest {\n fn serialize(self) -> [Field; KEY_VALIDATION_REQUEST_LENGTH] {\n [\n self.pk_m.x,\n self.pk_m.y,\n self.pk_m.is_infinite as Field,\n self.sk_app\n ]\n }\n}\n\nimpl Deserialize for KeyValidationRequest {\n fn deserialize(fields: [Field; KEY_VALIDATION_REQUEST_LENGTH]) -> Self {\n Self { pk_m: Point { x: fields[0], y: fields[1], is_infinite: fields[2] as bool }, sk_app: fields[3] }\n }\n}\n"},"24":{"path":"std/embedded_curve_ops.nr","source":"use crate::ops::arith::{Add, Sub, Neg};\nuse crate::cmp::Eq;\n\n/// A point on the embedded elliptic curve\n/// By definition, the base field of the embedded curve is the scalar field of the proof system curve, i.e the Noir Field.\n/// x and y denotes the Weierstrass coordinates of the point, if is_infinite is false.\npub struct EmbeddedCurvePoint {\n x: Field,\n y: Field,\n is_infinite: bool\n}\n\nimpl EmbeddedCurvePoint {\n /// Elliptic curve point doubling operation\n /// returns the doubled point of a point P, i.e P+P\n pub fn double(self) -> EmbeddedCurvePoint {\n embedded_curve_add(self, self)\n }\n\n /// Returns the null element of the curve; 'the point at infinity'\n pub fn point_at_infinity() -> EmbeddedCurvePoint {\n EmbeddedCurvePoint { x: 0, y: 0, is_infinite: true }\n }\n}\n\nimpl Add for EmbeddedCurvePoint {\n /// Adds two points P+Q, using the curve addition formula, and also handles point at infinity\n fn add(self, other: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n embedded_curve_add(self, other)\n }\n}\n\nimpl Sub for EmbeddedCurvePoint {\n /// Points subtraction operation, using addition and negation\n fn sub(self, other: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n self + other.neg()\n }\n}\n\nimpl Neg for EmbeddedCurvePoint {\n /// Negates a point P, i.e returns -P, by negating the y coordinate.\n /// If the point is at infinity, then the result is also at infinity.\n fn neg(self) -> EmbeddedCurvePoint {\n EmbeddedCurvePoint { x: self.x, y: -self.y, is_infinite: self.is_infinite }\n }\n}\n\nimpl Eq for EmbeddedCurvePoint {\n /// Checks whether two points are equal\n fn eq(self: Self, b: EmbeddedCurvePoint) -> bool {\n (self.is_infinite & b.is_infinite)\n | ((self.is_infinite == b.is_infinite) & (self.x == b.x) & (self.y == b.y))\n }\n}\n\n/// Scalar for the embedded curve represented as low and high limbs\n/// By definition, the scalar field of the embedded curve is base field of the proving system curve.\n/// It may not fit into a Field element, so it is represented with two Field elements; its low and high limbs.\npub struct EmbeddedCurveScalar {\n lo: Field,\n hi: Field,\n}\n\nimpl EmbeddedCurveScalar {\n pub fn new(lo: Field, hi: Field) -> Self {\n EmbeddedCurveScalar { lo, hi }\n }\n\n #[field(bn254)]\n pub fn from_field(scalar: Field) -> EmbeddedCurveScalar {\n let (a,b) = crate::field::bn254::decompose(scalar);\n EmbeddedCurveScalar { lo: a, hi: b }\n }\n\n //Bytes to scalar: take the first (after the specified offset) 16 bytes of the input as the lo value, and the next 16 bytes as the hi value\n #[field(bn254)]\n pub(crate) fn from_bytes(bytes: [u8; 64], offset: u32) -> EmbeddedCurveScalar {\n let mut v = 1;\n let mut lo = 0 as Field;\n let mut hi = 0 as Field;\n for i in 0..16 {\n lo = lo + (bytes[offset+31 - i] as Field) * v;\n hi = hi + (bytes[offset+15 - i] as Field) * v;\n v = v * 256;\n }\n let sig_s = crate::embedded_curve_ops::EmbeddedCurveScalar { lo, hi };\n sig_s\n }\n}\n\nimpl Eq for EmbeddedCurveScalar {\n fn eq(self, other: Self) -> bool {\n (other.hi == self.hi) & (other.lo == self.lo)\n }\n}\n\n// Computes a multi scalar multiplication over the embedded curve.\n// For bn254, We have Grumpkin and Baby JubJub.\n// For bls12-381, we have JubJub and Bandersnatch.\n//\n// The embedded curve being used is decided by the \n// underlying proof system.\n// docs:start:multi_scalar_mul\npub fn multi_scalar_mul(\n points: [EmbeddedCurvePoint; N],\n scalars: [EmbeddedCurveScalar; N]\n) -> EmbeddedCurvePoint\n// docs:end:multi_scalar_mul\n{\n let point_array = multi_scalar_mul_array_return(points, scalars);\n EmbeddedCurvePoint { x: point_array[0], y: point_array[1], is_infinite: point_array[2] as bool }\n}\n\n#[foreign(multi_scalar_mul)]\nfn multi_scalar_mul_array_return(points: [EmbeddedCurvePoint; N], scalars: [EmbeddedCurveScalar; N]) -> [Field; 3] {}\n\n#[foreign(multi_scalar_mul)]\npub(crate) fn multi_scalar_mul_slice(points: [EmbeddedCurvePoint], scalars: [EmbeddedCurveScalar]) -> [Field; 3] {}\n\n// docs:start:fixed_base_scalar_mul\npub fn fixed_base_scalar_mul(scalar: EmbeddedCurveScalar) -> EmbeddedCurvePoint\n// docs:end:fixed_base_scalar_mul\n{\n let g1 = EmbeddedCurvePoint { x: 1, y: 17631683881184975370165255887551781615748388533673675138860, is_infinite: false };\n multi_scalar_mul([g1], [scalar])\n}\n\n/// This function only assumes that the points are on the curve\n/// It handles corner cases around the infinity point causing some overhead compared to embedded_curve_add_not_nul and embedded_curve_add_unsafe\n// This is a hack because returning an `EmbeddedCurvePoint` from a foreign function in brillig returns a [BrilligVariable::SingleAddr; 2] rather than BrilligVariable::BrilligArray\n// as is defined in the brillig bytecode format. This is a workaround which allows us to fix this without modifying the serialization format.\n// docs:start:embedded_curve_add\npub fn embedded_curve_add(point1: EmbeddedCurvePoint, point2: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n // docs:end:embedded_curve_add\n let x_coordinates_match = point1.x == point2.x;\n let y_coordinates_match = point1.y == point2.y;\n let double_predicate = (x_coordinates_match & y_coordinates_match);\n let infinity_predicate = (x_coordinates_match & !y_coordinates_match);\n let point1_1 = EmbeddedCurvePoint { x: point1.x + (x_coordinates_match as Field), y: point1.y, is_infinite: x_coordinates_match };\n // point1_1 is guaranteed to have a different abscissa than point2\n let mut result = embedded_curve_add_unsafe(point1_1, point2);\n result.is_infinite = x_coordinates_match;\n\n // dbl if x_match, y_match\n let double = embedded_curve_add_unsafe(point1, point1);\n result = if double_predicate { double } else { result };\n\n // infinity if x_match, !y_match\n if point1.is_infinite {\n result= point2;\n }\n if point2.is_infinite {\n result = point1;\n }\n let mut result_is_infinity = infinity_predicate & (!point1.is_infinite & !point2.is_infinite);\n result.is_infinite = result_is_infinity | (point1.is_infinite & point2.is_infinite);\n result\n}\n\n#[foreign(embedded_curve_add)]\nfn embedded_curve_add_array_return(_point1: EmbeddedCurvePoint, _point2: EmbeddedCurvePoint) -> [Field; 3] {}\n\n/// This function assumes that:\n/// The points are on the curve, and\n/// The points don't share an x-coordinate, and\n/// Neither point is the infinity point.\n/// If it is used with correct input, the function ensures the correct non-zero result is returned.\n/// Except for points on the curve, the other assumptions are checked by the function. It will cause assertion failure if they are not respected.\npub fn embedded_curve_add_not_nul(point1: EmbeddedCurvePoint, point2: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n assert(point1.x != point2.x);\n assert(!point1.is_infinite);\n assert(!point2.is_infinite);\n embedded_curve_add_unsafe(point1, point2)\n}\n\n/// Unsafe ec addition\n/// If the inputs are the same, it will perform a doubling, but only if point1 and point2 are the same variable.\n/// If they have the same value but are different variables, the result will be incorrect because in this case\n/// it assumes (but does not check) that the points' x-coordinates are not equal.\n/// It also assumes neither point is the infinity point.\npub fn embedded_curve_add_unsafe(point1: EmbeddedCurvePoint, point2: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n let point_array = embedded_curve_add_array_return(point1, point2);\n let x = point_array[0];\n let y = point_array[1];\n\n EmbeddedCurvePoint { x, y, is_infinite: false }\n}\n"},"25":{"path":"std/field/bn254.nr","source":"use crate::runtime::is_unconstrained;\n\n// The low and high decomposition of the field modulus\nglobal PLO: Field = 53438638232309528389504892708671455233;\nglobal PHI: Field = 64323764613183177041862057485226039389;\n\npub(crate) global TWO_POW_128: Field = 0x100000000000000000000000000000000;\n\n// Decomposes a single field into two 16 byte fields.\nfn compute_decomposition(x: Field) -> (Field, Field) {\n let x_bytes: [u8; 32] = x.to_le_bytes();\n\n let mut low: Field = 0;\n let mut high: Field = 0;\n\n let mut offset = 1;\n for i in 0..16 {\n low += (x_bytes[i] as Field) * offset;\n high += (x_bytes[i + 16] as Field) * offset;\n offset *= 256;\n }\n\n (low, high)\n}\n\nunconstrained pub(crate) fn decompose_hint(x: Field) -> (Field, Field) {\n compute_decomposition(x)\n}\n\nfn compute_lt(x: Field, y: Field, num_bytes: u32) -> bool {\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..num_bytes {\n if (!done) {\n let x_byte = x_bytes[num_bytes - 1 - i];\n let y_byte = y_bytes[num_bytes - 1 - i];\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\nfn compute_lte(x: Field, y: Field, num_bytes: u32) -> bool {\n if x == y {\n true\n } else {\n compute_lt(x, y, num_bytes)\n }\n}\n\nunconstrained fn lt_32_hint(x: Field, y: Field) -> bool {\n compute_lt(x, y, 32)\n}\n\nunconstrained fn lte_16_hint(x: Field, y: Field) -> bool {\n compute_lte(x, y, 16)\n}\n\n// Assert that (alo > blo && ahi >= bhi) || (alo <= blo && ahi > bhi)\nfn assert_gt_limbs(a: (Field, Field), b: (Field, Field)) {\n let (alo, ahi) = a;\n let (blo, bhi) = b;\n unsafe {\n let borrow = lte_16_hint(alo, blo);\n\n let rlo = alo - blo - 1 + (borrow as Field) * TWO_POW_128;\n let rhi = ahi - bhi - (borrow as Field);\n\n rlo.assert_max_bit_size(128);\n rhi.assert_max_bit_size(128);\n }\n}\n\n/// Decompose a single field into two 16 byte fields.\npub fn decompose(x: Field) -> (Field, Field) {\n if is_unconstrained() {\n compute_decomposition(x)\n } else {\n unsafe {\n // Take hints of the decomposition\n let (xlo, xhi) = decompose_hint(x);\n\n // Range check the limbs\n xlo.assert_max_bit_size(128);\n xhi.assert_max_bit_size(128);\n\n // Check that the decomposition is correct\n assert_eq(x, xlo + TWO_POW_128 * xhi);\n\n // Assert that the decomposition of P is greater than the decomposition of x\n assert_gt_limbs((PLO, PHI), (xlo, xhi));\n (xlo, xhi)\n }\n }\n}\n\npub fn assert_gt(a: Field, b: Field) {\n if is_unconstrained() {\n assert(compute_lt(b, a, 32));\n } else {\n // Decompose a and b\n let a_limbs = decompose(a);\n let b_limbs = decompose(b);\n\n // Assert that a_limbs is greater than b_limbs\n assert_gt_limbs(a_limbs, b_limbs)\n }\n}\n\npub fn assert_lt(a: Field, b: Field) {\n assert_gt(b, a);\n}\n\npub fn gt(a: Field, b: Field) -> bool {\n if is_unconstrained() {\n compute_lt(b, a, 32)\n } else if a == b {\n false\n } else {\n // Take a hint of the comparison and verify it\n unsafe {\n if lt_32_hint(a, b) {\n assert_gt(b, a);\n false\n } else {\n assert_gt(a, b);\n true\n }\n }\n }\n}\n\npub fn lt(a: Field, b: Field) -> bool {\n gt(b, a)\n}\n\nmod tests {\n // TODO: Allow imports from \"super\"\n use crate::field::bn254::{decompose, compute_lt, assert_gt, gt, TWO_POW_128, compute_lte, PLO, PHI};\n\n #[test]\n fn check_decompose() {\n assert_eq(decompose(TWO_POW_128), (0, 1));\n assert_eq(decompose(TWO_POW_128 + 0x1234567890), (0x1234567890, 1));\n assert_eq(decompose(0x1234567890), (0x1234567890, 0));\n }\n\n #[test]\n unconstrained fn check_decompose_unconstrained() {\n assert_eq(decompose(TWO_POW_128), (0, 1));\n assert_eq(decompose(TWO_POW_128 + 0x1234567890), (0x1234567890, 1));\n assert_eq(decompose(0x1234567890), (0x1234567890, 0));\n }\n\n #[test]\n fn check_compute_lt() {\n assert(compute_lt(0, 1, 16));\n assert(compute_lt(0, 0x100, 16));\n assert(compute_lt(0x100, TWO_POW_128 - 1, 16));\n assert(!compute_lt(0, TWO_POW_128, 16));\n }\n\n #[test]\n fn check_compute_lte() {\n assert(compute_lte(0, 1, 16));\n assert(compute_lte(0, 0x100, 16));\n assert(compute_lte(0x100, TWO_POW_128 - 1, 16));\n assert(!compute_lte(0, TWO_POW_128, 16));\n\n assert(compute_lte(0, 0, 16));\n assert(compute_lte(0x100, 0x100, 16));\n assert(compute_lte(TWO_POW_128 - 1, TWO_POW_128 - 1, 16));\n assert(compute_lte(TWO_POW_128, TWO_POW_128, 16));\n }\n\n #[test]\n fn check_assert_gt() {\n assert_gt(1, 0);\n assert_gt(0x100, 0);\n assert_gt((0 - 1), (0 - 2));\n assert_gt(TWO_POW_128, 0);\n assert_gt(0 - 1, 0);\n }\n\n #[test]\n unconstrained fn check_assert_gt_unconstrained() {\n assert_gt(1, 0);\n assert_gt(0x100, 0);\n assert_gt((0 - 1), (0 - 2));\n assert_gt(TWO_POW_128, 0);\n assert_gt(0 - 1, 0);\n }\n\n #[test]\n fn check_gt() {\n assert(gt(1, 0));\n assert(gt(0x100, 0));\n assert(gt((0 - 1), (0 - 2)));\n assert(gt(TWO_POW_128, 0));\n assert(!gt(0, 0));\n assert(!gt(0, 0x100));\n assert(gt(0 - 1, 0 - 2));\n assert(!gt(0 - 2, 0 - 1));\n }\n\n #[test]\n unconstrained fn check_gt_unconstrained() {\n assert(gt(1, 0));\n assert(gt(0x100, 0));\n assert(gt((0 - 1), (0 - 2)));\n assert(gt(TWO_POW_128, 0));\n assert(!gt(0, 0));\n assert(!gt(0, 0x100));\n assert(gt(0 - 1, 0 - 2));\n assert(!gt(0 - 2, 0 - 1));\n }\n\n #[test]\n fn check_plo_phi() {\n assert_eq(PLO + PHI * TWO_POW_128, 0);\n let p_bytes = crate::field::modulus_le_bytes();\n let mut p_low: Field = 0;\n let mut p_high: Field = 0;\n\n let mut offset = 1;\n for i in 0..16 {\n p_low += (p_bytes[i] as Field) * offset;\n p_high += (p_bytes[i + 16] as Field) * offset;\n offset *= 256;\n }\n assert_eq(p_low, PLO);\n assert_eq(p_high, PHI);\n }\n}\n"},"26":{"path":"std/field/mod.nr","source":"pub mod bn254;\nuse bn254::lt as bn254_lt;\nuse crate::runtime::is_unconstrained;\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, bit_size: u32) {\n // docs:end:assert_max_bit_size\n crate::assert_constant(bit_size);\n assert(bit_size < modulus_num_bits() as u32);\n self.__assert_max_bit_size(bit_size);\n }\n\n #[builtin(apply_range_constraint)]\n fn __assert_max_bit_size(self, bit_size: u32) {}\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)]\n // docs:start:to_le_bits\n pub fn to_le_bits(self: Self) -> [u1; N] {}\n // docs:end:to_le_bits\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)]\n // docs:start:to_be_bits\n pub fn to_be_bits(self: Self) -> [u1; N] {}\n // docs:end:to_be_bits\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 // 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 // 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 // docs:start:to_le_radix\n pub fn to_le_radix(self: Self, radix: u32) -> [u8; N] {\n crate::assert_constant(radix);\n self.__to_le_radix(radix)\n }\n // docs:end:to_le_radix\n\n // docs:start:to_be_radix\n pub fn to_be_radix(self: Self, radix: u32) -> [u8; N] {\n crate::assert_constant(radix);\n self.__to_be_radix(radix)\n }\n // docs:end:to_be_radix\n\n // `_radix` must be less than 256\n #[builtin(to_le_radix)]\n fn __to_le_radix(self, radix: u32) -> [u8; N] {}\n\n #[builtin(to_be_radix)]\n fn __to_be_radix(self, radix: u32) -> [u8; 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 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(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// 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 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\nmod tests {\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 bits: [u8; 8] = field.to_be_bytes();\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bits), 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 bits: [u8; 8] = field.to_le_bytes();\n assert_eq(bits, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bits), 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 let field = 2;\n let bits: [u8; 8] = field.to_be_radix(256);\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bits), 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 let field = 2;\n let bits: [u8; 8] = field.to_le_radix(256);\n assert_eq(bits, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bits), field);\n }\n // docs:end:to_le_radix_example\n}\n"},"29":{"path":"std/hash/mod.nr","source":"pub mod poseidon;\npub mod mimc;\npub mod poseidon2;\npub mod keccak;\npub mod sha256;\npub mod sha512;\n\nuse crate::default::Default;\nuse crate::uint128::U128;\nuse crate::collections::vec::Vec;\nuse crate::embedded_curve_ops::{EmbeddedCurvePoint, EmbeddedCurveScalar, multi_scalar_mul, multi_scalar_mul_slice};\nuse crate::meta::derive_via;\n\n// Kept for backwards compatibility\npub use sha256::{digest, sha256, sha256_compression, sha256_var};\n\n#[foreign(blake2s)]\n// docs:start:blake2s\npub fn blake2s(input: [u8; N]) -> [u8; 32]\n// docs:end:blake2s\n{}\n\n#[foreign(blake3)]\n// docs:start:blake3\npub fn blake3(input: [u8; N]) -> [u8; 32]\n// docs:end:blake3\n{}\n\n// docs:start:pedersen_commitment\npub fn pedersen_commitment(input: [Field; N]) -> EmbeddedCurvePoint {\n // docs:end:pedersen_commitment\n pedersen_commitment_with_separator(input, 0)\n}\n\npub fn pedersen_hash_with_separator(input: [Field; N], separator: u32) -> Field {\n pedersen_hash_with_separator_noir(input, separator)\n}\n\npub fn pedersen_commitment_with_separator(input: [Field; N], separator: u32) -> EmbeddedCurvePoint {\n let value = __pedersen_commitment_with_separator(input, separator);\n if (value[0] == 0) & (value[1] == 0) {\n EmbeddedCurvePoint { x: 0, y: 0, is_infinite: true }\n } else {\n EmbeddedCurvePoint { x: value[0], y: value[1], is_infinite: false }\n }\n}\n\n#[no_predicates]\nfn pedersen_commitment_with_separator_noir(input: [Field; N], separator: u32) -> EmbeddedCurvePoint {\n let mut points = [EmbeddedCurveScalar { lo: 0, hi: 0 }; N];\n for i in 0..N {\n // we use the unsafe version because the multi_scalar_mul will constrain the scalars.\n points[i] = from_field_unsafe(input[i]);\n }\n let generators = derive_generators(\"DEFAULT_DOMAIN_SEPARATOR\".as_bytes(), separator);\n multi_scalar_mul(generators, points)\n}\n\n#[no_predicates]\nfn pedersen_hash_with_separator_noir(input: [Field; N], separator: u32) -> Field {\n let mut scalars: Vec = Vec::from_slice([EmbeddedCurveScalar { lo: 0, hi: 0 }; N].as_slice()); //Vec::new();\n\n for i in 0..N {\n scalars.set(i, from_field_unsafe(input[i]));\n }\n scalars.push(EmbeddedCurveScalar { lo: N as Field, hi: 0 as Field });\n let domain_generators :[EmbeddedCurvePoint; N]= derive_generators(\"DEFAULT_DOMAIN_SEPARATOR\".as_bytes(), separator);\n let mut vec_generators = Vec::new();\n for i in 0..N {\n vec_generators.push(domain_generators[i]);\n }\n let length_generator : [EmbeddedCurvePoint; 1] = derive_generators(\"pedersen_hash_length\".as_bytes(), 0);\n vec_generators.push(length_generator[0]);\n multi_scalar_mul_slice(vec_generators.slice, scalars.slice)[0]\n}\n\n// docs:start:pedersen_hash\npub fn pedersen_hash(input: [Field; N]) -> Field\n// docs:end:pedersen_hash\n{\n pedersen_hash_with_separator_noir(input, 0)\n}\n\n#[foreign(pedersen_hash)]\nfn __pedersen_hash_with_separator(input: [Field; N], separator: u32) -> Field {}\n\n#[foreign(pedersen_commitment)]\nfn __pedersen_commitment_with_separator(input: [Field; N], separator: u32) -> [Field; 2] {}\n\n#[field(bn254)]\npub fn derive_generators(domain_separator_bytes: [u8; M], starting_index: u32) -> [EmbeddedCurvePoint; N] {\n crate::assert_constant(domain_separator_bytes);\n // TODO(https://github.com/noir-lang/noir/issues/5672): Add back assert_constant on starting_index\n __derive_generators(domain_separator_bytes, starting_index)\n}\n\n#[builtin(derive_pedersen_generators)]\n#[field(bn254)]\nfn __derive_generators(domain_separator_bytes: [u8; M], starting_index: u32) -> [EmbeddedCurvePoint; N] {}\n\n#[field(bn254)]\n// Same as from_field but:\n// does not assert the limbs are 128 bits\n// does not assert the decomposition does not overflow the EmbeddedCurveScalar\nfn from_field_unsafe(scalar: Field) -> EmbeddedCurveScalar {\n let (xlo, xhi) = unsafe {\n crate::field::bn254::decompose_hint(scalar)\n };\n // Check that the decomposition is correct\n assert_eq(scalar, xlo + crate::field::bn254::TWO_POW_128 * xhi);\n EmbeddedCurveScalar { lo: xlo, hi: xhi }\n}\n\npub fn hash_to_field(inputs: [Field]) -> Field {\n let mut sum = 0;\n\n for input in inputs {\n let input_bytes: [u8; 32] = input.to_le_bytes();\n sum += crate::field::bytes32_to_field(blake2s(input_bytes));\n }\n\n sum\n}\n\n// docs:start:keccak256\npub fn keccak256(input: [u8; N], message_size: u32) -> [u8; 32]\n// docs:end:keccak256\n{\n crate::hash::keccak::keccak256(input, message_size)\n}\n\n#[foreign(poseidon2_permutation)]\npub fn poseidon2_permutation(_input: [Field; N], _state_length: u32) -> [Field; N] {}\n\n// Generic hashing support.\n// Partially ported and impacted by rust.\n\n// Hash trait shall be implemented per type.\n#[derive_via(derive_hash)]\npub trait Hash {\n fn hash(self, state: &mut H) where H: Hasher;\n}\n\n// docs:start:derive_hash\ncomptime fn derive_hash(s: StructDefinition) -> Quoted {\n let name = quote { Hash };\n let signature = quote { fn hash(_self: Self, _state: &mut H) where H: std::hash::Hasher };\n let for_each_field = |name| quote { _self.$name.hash(_state); };\n crate::meta::make_trait_impl(s, name, signature, for_each_field, quote {}, |fields| fields)\n}\n// docs:end:derive_hash\n\n// Hasher trait shall be implemented by algorithms to provide hash-agnostic means.\n// TODO: consider making the types generic here ([u8], [Field], etc.)\npub trait Hasher {\n fn finish(self) -> Field;\n\n fn write(&mut self, input: Field);\n}\n\n// BuildHasher is a factory trait, responsible for production of specific Hasher.\npub trait BuildHasher where H: Hasher {\n fn build_hasher(self) -> H;\n}\n\npub struct BuildHasherDefault;\n\nimpl BuildHasher for BuildHasherDefault\nwhere\n H: Hasher + Default {\n fn build_hasher(_self: Self) -> H {\n H::default()\n }\n}\n\nimpl Default for BuildHasherDefault\nwhere\n H: Hasher + Default {\n fn default() -> Self {\n BuildHasherDefault {}\n }\n}\n\nimpl Hash for Field {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self);\n }\n}\n\nimpl Hash for u1 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u8 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u16 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u32 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u64 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i8 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i16 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i32 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i64 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for bool {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for () {\n fn hash(_self: Self, _state: &mut H) where H: Hasher {}\n}\n\nimpl Hash for U128 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self.lo as Field);\n H::write(state, self.hi as Field);\n }\n}\n\nimpl Hash for [T; N] where T: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n for elem in self {\n elem.hash(state);\n }\n }\n}\n\nimpl Hash for [T] where T: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.len().hash(state);\n for elem in self {\n elem.hash(state);\n }\n }\n}\n\nimpl Hash for (A, B) where A: Hash, B: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n }\n}\n\nimpl Hash for (A, B, C) where A: Hash, B: Hash, C: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n self.2.hash(state);\n }\n}\n\nimpl Hash for (A, B, C, D) where A: Hash, B: Hash, C: Hash, D: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n self.2.hash(state);\n self.3.hash(state);\n }\n}\n\nimpl Hash for (A, B, C, D, E) where A: Hash, B: Hash, C: Hash, D: Hash, E: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n self.2.hash(state);\n self.3.hash(state);\n self.4.hash(state);\n }\n}\n\n// Some test vectors for Pedersen hash and Pedersen Commitment.\n// They have been generated using the same functions so the tests are for now useless\n// but they will be useful when we switch to Noir implementation.\n#[test]\nfn assert_pedersen() {\n assert_eq(\n pedersen_hash_with_separator([1], 1), 0x1b3f4b1a83092a13d8d1a59f7acb62aba15e7002f4440f2275edb99ebbc2305f\n );\n assert_eq(\n pedersen_commitment_with_separator([1], 1), EmbeddedCurvePoint {\n x: 0x054aa86a73cb8a34525e5bbed6e43ba1198e860f5f3950268f71df4591bde402,\n y: 0x209dcfbf2cfb57f9f6046f44d71ac6faf87254afc7407c04eb621a6287cac126,\n is_infinite: false\n }\n );\n\n assert_eq(\n pedersen_hash_with_separator([1, 2], 2), 0x26691c129448e9ace0c66d11f0a16d9014a9e8498ee78f4d69f0083168188255\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2], 2), EmbeddedCurvePoint {\n x: 0x2e2b3b191e49541fe468ec6877721d445dcaffe41728df0a0eafeb15e87b0753,\n y: 0x2ff4482400ad3a6228be17a2af33e2bcdf41be04795f9782bd96efe7e24f8778,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3], 3), 0x0bc694b7a1f8d10d2d8987d07433f26bd616a2d351bc79a3c540d85b6206dbe4\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3], 3), EmbeddedCurvePoint {\n x: 0x1fee4e8cf8d2f527caa2684236b07c4b1bad7342c01b0f75e9a877a71827dc85,\n y: 0x2f9fedb9a090697ab69bf04c8bc15f7385b3e4b68c849c1536e5ae15ff138fd1,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4], 4), 0xdae10fb32a8408521803905981a2b300d6a35e40e798743e9322b223a5eddc\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4], 4), EmbeddedCurvePoint {\n x: 0x07ae3e202811e1fca39c2d81eabe6f79183978e6f12be0d3b8eda095b79bdbc9,\n y: 0x0afc6f892593db6fbba60f2da558517e279e0ae04f95758587760ba193145014,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5], 5), 0xfc375b062c4f4f0150f7100dfb8d9b72a6d28582dd9512390b0497cdad9c22\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5], 5), EmbeddedCurvePoint {\n x: 0x1754b12bd475a6984a1094b5109eeca9838f4f81ac89c5f0a41dbce53189bb29,\n y: 0x2da030e3cfcdc7ddad80eaf2599df6692cae0717d4e9f7bfbee8d073d5d278f7,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6], 6), 0x1696ed13dc2730062a98ac9d8f9de0661bb98829c7582f699d0273b18c86a572\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6], 6), EmbeddedCurvePoint {\n x: 0x190f6c0e97ad83e1e28da22a98aae156da083c5a4100e929b77e750d3106a697,\n y: 0x1f4b60f34ef91221a0b49756fa0705da93311a61af73d37a0c458877706616fb,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7], 7), 0x128c0ff144fc66b6cb60eeac8a38e23da52992fc427b92397a7dffd71c45ede3\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7], 7), EmbeddedCurvePoint {\n x: 0x015441e9d29491b06563fac16fc76abf7a9534c715421d0de85d20dbe2965939,\n y: 0x1d2575b0276f4e9087e6e07c2cb75aa1baafad127af4be5918ef8a2ef2fea8fc,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7, 8], 8), 0x2f960e117482044dfc99d12fece2ef6862fba9242be4846c7c9a3e854325a55c\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7, 8], 8), EmbeddedCurvePoint {\n x: 0x1657737676968887fceb6dd516382ea13b3a2c557f509811cd86d5d1199bc443,\n y: 0x1f39f0cb569040105fa1e2f156521e8b8e08261e635a2b210bdc94e8d6d65f77,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9], 9), 0x0c96db0790602dcb166cc4699e2d306c479a76926b81c2cb2aaa92d249ec7be7\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9], 9), EmbeddedCurvePoint {\n x: 0x0a3ceae42d14914a432aa60ec7fded4af7dad7dd4acdbf2908452675ec67e06d,\n y: 0xfc19761eaaf621ad4aec9a8b2e84a4eceffdba78f60f8b9391b0bd9345a2f2,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 10), 0x2cd37505871bc460a62ea1e63c7fe51149df5d0801302cf1cbc48beb8dff7e94\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 10), EmbeddedCurvePoint {\n x: 0x2fb3f8b3d41ddde007c8c3c62550f9a9380ee546fcc639ffbb3fd30c8d8de30c,\n y: 0x300783be23c446b11a4c0fabf6c91af148937cea15fcf5fb054abf7f752ee245,\n is_infinite: false\n }\n );\n}\n"},"298":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/utils/mod.nr","source":"// general util packages/modules are usually bad practice\n// because there is no criteria for what we should not put in here.\n// Reducing the size of this package would be welcome.\n\nmod arrays;\nmod field;\nmod reader;\nmod uint256;\n\n// if predicate == true then return lhs, else return rhs\npub fn conditional_assign(predicate: bool, lhs: Field, rhs: Field) -> Field {\n if predicate { lhs } else { rhs }\n}\n\npub fn arr_copy_slice(src: [T; N], mut dst: [T; M], offset: u32) -> [T; M] {\n let iterator_len = if N > M { M } else { N };\n for i in 0..iterator_len {\n dst[i] = src[i + offset];\n }\n dst\n}\n"},"299":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/storage/map.nr","source":"use crate::{hash::poseidon2_hash, traits::ToField};\n\npub fn derive_storage_slot_in_map(storage_slot: Field, key: K) -> Field where K: ToField {\n poseidon2_hash([storage_slot, key.to_field()])\n}\n\nmod test {\n use crate::{address::AztecAddress, storage::map::derive_storage_slot_in_map};\n\n #[test]\n fn test_derive_storage_slot_in_map_matches_typescript() {\n let map_slot = 0x132258fb6962c4387ba659d9556521102d227549a386d39f0b22d1890d59c2b5;\n let key = AztecAddress::from_field(0x302dbc2f9b50a73283d5fb2f35bc01eae8935615817a0b4219a057b2ba8a5a3f);\n\n let slot = derive_storage_slot_in_map(map_slot, key);\n\n // The following value was generated by `map_slot.test.ts`\n let slot_from_typescript = 0x15b9fe39449affd8b377461263e9d2b610b9ad40580553500b4e41d9cbd887ac;\n\n assert_eq(slot, slot_from_typescript);\n }\n}\n"},"3":{"path":"std/array/mod.nr","source":"use crate::cmp::{Eq, Ord};\nuse crate::convert::From;\nuse crate::runtime::is_unconstrained;\n\nmod check_shuffle;\nmod quicksort;\n\nimpl [T; N] {\n /// Returns the length of this array.\n /// \n /// ```noir\n /// fn len(self) -> Field\n /// ```\n /// \n /// example\n /// \n /// ```noir\n /// fn main() {\n /// let array = [42, 42];\n /// assert(array.len() == 2);\n /// }\n /// ```\n #[builtin(array_len)]\n pub fn len(self) -> u32 {}\n\n /// Returns this array as a slice.\n /// \n /// ```noir\n /// let array = [1, 2];\n /// let slice = array.as_slice();\n /// assert_eq(slice, &[1, 2]);\n /// ```\n #[builtin(as_slice)]\n pub fn as_slice(self) -> [T] {}\n\n /// Applies a function to each element of this array, returning a new array containing the mapped elements.\n /// \n /// Example:\n /// \n /// ```rust\n /// let a = [1, 2, 3];\n /// let b = a.map(|a| a * 2);\n /// assert_eq(b, [2, 4, 6]);\n /// ```\n pub fn map(self, f: fn[Env](T) -> U) -> [U; N] {\n let first_elem = f(self[0]);\n let mut ret = [first_elem; N];\n\n for i in 1..self.len() {\n ret[i] = f(self[i]);\n }\n\n ret\n }\n\n /// Applies a function to each element of the array, returning the final accumulated value. The first\n /// parameter is the initial value.\n /// \n /// This is a left fold, so the given function will be applied to the accumulator and first element of\n /// the array, then the second, and so on. For a given call the expected result would be equivalent to:\n /// \n /// ```rust\n /// let a1 = [1];\n /// let a2 = [1, 2];\n /// let a3 = [1, 2, 3];\n /// \n /// let f = |a, b| a - b;\n /// a1.fold(10, f); //=> f(10, 1)\n /// a2.fold(10, f); //=> f(f(10, 1), 2)\n /// a3.fold(10, f); //=> f(f(f(10, 1), 2), 3)\n /// \n /// assert_eq(a3.fold(10, f), 10 - 1 - 2 - 3);\n /// ```\n pub fn fold(self, mut accumulator: U, f: fn[Env](U, T) -> U) -> U {\n for elem in self {\n accumulator = f(accumulator, elem);\n }\n accumulator\n }\n\n /// Same as fold, but uses the first element as the starting element.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn main() {\n /// let arr = [1, 2, 3, 4];\n /// let reduced = arr.reduce(|a, b| a + b);\n /// assert(reduced == 10);\n /// }\n /// ```\n pub fn reduce(self, f: fn[Env](T, T) -> T) -> T {\n let mut accumulator = self[0];\n for i in 1..self.len() {\n accumulator = f(accumulator, self[i]);\n }\n accumulator\n }\n\n /// Returns true if all the elements in this array satisfy the given predicate.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn main() {\n /// let arr = [2, 2, 2, 2, 2];\n /// let all = arr.all(|a| a == 2);\n /// assert(all);\n /// }\n /// ```\n pub fn all(self, predicate: fn[Env](T) -> bool) -> bool {\n let mut ret = true;\n for elem in self {\n ret &= predicate(elem);\n }\n ret\n }\n\n /// Returns true if any of the elements in this array satisfy the given predicate.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn main() {\n /// let arr = [2, 2, 2, 2, 5];\n /// let any = arr.any(|a| a == 5);\n /// assert(any);\n /// }\n /// ```\n pub fn any(self, predicate: fn[Env](T) -> bool) -> bool {\n let mut ret = false;\n for elem in self {\n ret |= predicate(elem);\n }\n ret\n }\n}\n\nimpl [T; N] where T: Ord + Eq {\n /// Returns a new sorted array. The original array remains untouched. Notice that this function will\n /// only work for arrays of fields or integers, not for any arbitrary type. This is because the sorting\n /// logic it uses internally is optimized specifically for these values. If you need a sort function to\n /// sort any type, you should use the `sort_via` function.\n /// \n /// Example:\n /// \n /// ```rust\n /// fn main() {\n /// let arr = [42, 32];\n /// let sorted = arr.sort();\n /// assert(sorted == [32, 42]);\n /// }\n /// ```\n pub fn sort(self) -> Self {\n self.sort_via(|a: T, b: T| a <= b)\n }\n}\n\nimpl [T; N] where T: Eq {\n /// Returns a new sorted array by sorting it with a custom comparison function. \n /// The original array remains untouched. \n /// The ordering function must return true if the first argument should be sorted to be before the second argument or is equal to the second argument.\n /// \n /// Using this method with an operator like `<` that does not return `true` for equal values will result in an assertion failure for arrays with equal elements.\n /// \n /// Example:\n /// \n /// ```rust\n /// fn main() {\n /// let arr = [42, 32]\n /// let sorted_ascending = arr.sort_via(|a, b| a <= b);\n /// assert(sorted_ascending == [32, 42]); // verifies\n /// \n /// let sorted_descending = arr.sort_via(|a, b| a >= b);\n /// assert(sorted_descending == [32, 42]); // does not verify\n /// }\n /// ```\n pub fn sort_via(self, ordering: fn[Env](T, T) -> bool) -> Self {\n unsafe {\n // Safety: `sorted` array is checked to be:\n // a. a permutation of `input`'s elements\n // b. satisfying the predicate `ordering`\n let sorted = quicksort::quicksort(self, ordering);\n\n if !is_unconstrained() {\n for i in 0..N - 1 {\n assert(\n ordering(sorted[i], sorted[i + 1]), \"Array has not been sorted correctly according to `ordering`.\"\n );\n }\n check_shuffle::check_shuffle(self, sorted);\n }\n sorted\n }\n }\n}\n\nimpl [u8; N] {\n /// Converts a byte array of type `[u8; N]` to a string. Note that this performs no UTF-8 validation -\n /// the given array is interpreted as-is as a string.\n /// \n /// Example:\n /// \n /// ```rust\n /// fn main() {\n /// let hi = [104, 105].as_str_unchecked();\n /// assert_eq(hi, \"hi\");\n /// }\n /// ```\n #[builtin(array_as_str_unchecked)]\n pub fn as_str_unchecked(self) -> str {}\n}\n\nimpl From> for [u8; N] {\n /// Returns an array of the string bytes.\n fn from(s: str) -> Self {\n s.as_bytes()\n }\n}\n"},"301":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/traits.nr","source":"use crate::utils::field::field_from_bytes;\nuse crate::meta::{derive_deserialize, derive_serialize};\n\n// Trait: is_empty\n//\n// The general is_empty trait checks if a data type is is empty,\n// and it defines empty for the basic data types as 0.\n//\n// If a Field is equal to zero, then it is regarded as zero.\n// We will go with this definition for now, however it can be problematic\n// if a value can actually be zero. In a future refactor, we can\n// use the optional type for safety. Doing it now would lead to a worse devex\n// and would make it harder to sync up with the cpp code.\n// Preferred over Default trait to convey intent, as default doesn't necessarily mean empty.\npub trait Empty {\n fn empty() -> Self;\n}\n\nimpl Empty for Field {\n fn empty() -> Self {\n 0\n }\n}\n\nimpl Empty for u1 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for u8 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for u32 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for u64 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for U128 {\n fn empty() -> Self {\n U128::from_integer(0)\n }\n}\n\npub fn is_empty(item: T) -> bool where T: Empty + Eq {\n item.eq(T::empty())\n}\n\npub fn is_empty_array(array: [T; N]) -> bool where T: Empty + Eq {\n array.all(|elem| is_empty(elem))\n}\n\npub trait Hash {\n fn hash(self) -> Field;\n}\n\npub trait ToField {\n fn to_field(self) -> Field;\n}\n\nimpl ToField for Field {\n fn to_field(self) -> Field {\n self\n }\n}\n\nimpl ToField for bool {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u1 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u8 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u32 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u64 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for U128 {\n fn to_field(self) -> Field {\n self.to_integer()\n }\n}\nimpl ToField for str {\n fn to_field(self) -> Field {\n assert(N < 32, \"String doesn't fit in a field, consider using Serialize instead\");\n field_from_bytes(self.as_bytes(), true)\n }\n}\n\npub trait FromField {\n fn from_field(value: Field) -> Self;\n}\n\nimpl FromField for Field {\n fn from_field(value: Field) -> Self {\n value\n }\n}\n\nimpl FromField for bool {\n fn from_field(value: Field) -> Self {\n value as bool\n }\n}\nimpl FromField for u1 {\n fn from_field(value: Field) -> Self {\n value as u1\n }\n}\nimpl FromField for u8 {\n fn from_field(value: Field) -> Self {\n value as u8\n }\n}\nimpl FromField for u32 {\n fn from_field(value: Field) -> Self {\n value as u32\n }\n}\nimpl FromField for u64 {\n fn from_field(value: Field) -> Self {\n value as u64\n }\n}\nimpl FromField for U128 {\n fn from_field(value: Field) -> Self {\n U128::from_integer(value)\n }\n}\n\n// docs:start:serialize\n#[derive_via(derive_serialize)]\npub trait Serialize {\n fn serialize(self) -> [Field; N];\n}\n// docs:end:serialize\n\nimpl Serialize for str {\n fn serialize(self) -> [Field; N] {\n let bytes = self.as_bytes();\n let mut fields = [0; N];\n for i in 0..bytes.len() {\n fields[i] = bytes[i] as Field;\n }\n fields\n }\n}\n\n// docs:start:deserialize\n#[derive_via(derive_deserialize)]\npub trait Deserialize {\n fn deserialize(fields: [Field; N]) -> Self;\n}\n// docs:end:deserialize\n\nimpl Deserialize for str {\n fn deserialize(fields: [Field; N]) -> Self {\n str::from(fields.map(|value| value as u8))\n }\n}\n"},"305":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/contract_instance.nr","source":"use crate::{\n address::{aztec_address::AztecAddress, partial_address::PartialAddress, public_keys_hash::PublicKeysHash},\n contract_class_id::ContractClassId, constants::CONTRACT_INSTANCE_LENGTH,\n traits::{Deserialize, Hash, Serialize}\n};\n\npub struct ContractInstance {\n salt : Field,\n deployer: AztecAddress,\n contract_class_id : ContractClassId,\n initialization_hash : Field,\n public_keys_hash : PublicKeysHash,\n}\n\nimpl Eq for ContractInstance {\n fn eq(self, other: Self) -> bool {\n self.public_keys_hash.eq(other.public_keys_hash)\n & self.initialization_hash.eq(other.initialization_hash)\n & self.contract_class_id.eq(other.contract_class_id)\n & self.salt.eq(other.salt)\n }\n}\n\nimpl Serialize for ContractInstance {\n fn serialize(self) -> [Field; CONTRACT_INSTANCE_LENGTH] {\n [\n self.salt,\n self.deployer.to_field(),\n self.contract_class_id.to_field(),\n self.initialization_hash,\n self.public_keys_hash.to_field()\n ]\n }\n}\n\nimpl Deserialize for ContractInstance {\n fn deserialize(serialized: [Field; CONTRACT_INSTANCE_LENGTH]) -> Self {\n Self {\n salt: serialized[0],\n deployer: AztecAddress::from_field(serialized[1]),\n contract_class_id: ContractClassId::from_field(serialized[2]),\n initialization_hash: serialized[3],\n public_keys_hash: PublicKeysHash::from_field(serialized[4])\n }\n }\n}\n\nimpl Hash for ContractInstance {\n fn hash(self) -> Field {\n self.to_address().to_field()\n }\n}\n\nimpl ContractInstance {\n fn to_address(self) -> AztecAddress {\n AztecAddress::compute(\n self.public_keys_hash,\n PartialAddress::compute(\n self.contract_class_id,\n self.salt,\n self.initialization_hash,\n self.deployer\n )\n )\n }\n}\n"},"306":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/address/aztec_address.nr","source":"use crate::{\n address::{partial_address::PartialAddress, public_keys_hash::PublicKeysHash},\n constants::{AZTEC_ADDRESS_LENGTH, GENERATOR_INDEX__CONTRACT_ADDRESS_V1},\n hash::poseidon2_hash_with_separator, traits::{Empty, FromField, ToField, Serialize, Deserialize},\n utils\n};\n\n// Aztec address\npub struct AztecAddress {\n inner : Field\n}\n\nimpl Eq for AztecAddress {\n fn eq(self, other: Self) -> bool {\n self.to_field() == other.to_field()\n }\n}\n\nimpl Empty for AztecAddress {\n fn empty() -> Self {\n Self { inner: 0 }\n }\n}\n\nimpl ToField for AztecAddress {\n fn to_field(self) -> Field {\n self.inner\n }\n}\n\nimpl FromField for AztecAddress {\n fn from_field(value: Field) -> AztecAddress {\n AztecAddress { inner: value }\n }\n}\n\nimpl Serialize for AztecAddress {\n fn serialize(self: Self) -> [Field; AZTEC_ADDRESS_LENGTH] {\n [self.to_field()]\n }\n}\n\nimpl Deserialize for AztecAddress {\n fn deserialize(fields: [Field; AZTEC_ADDRESS_LENGTH]) -> Self {\n FromField::from_field(fields[0])\n }\n}\n\nimpl AztecAddress {\n pub fn zero() -> Self {\n Self { inner: 0 }\n }\n\n pub fn compute(pub_keys_hash: PublicKeysHash, partial_address: PartialAddress) -> AztecAddress {\n AztecAddress::from_field(\n poseidon2_hash_with_separator(\n [pub_keys_hash.to_field(), partial_address.to_field()],\n GENERATOR_INDEX__CONTRACT_ADDRESS_V1\n )\n )\n }\n\n pub fn is_zero(self) -> bool {\n self.inner == 0\n }\n\n pub fn assert_is_zero(self) {\n assert(self.to_field() == 0);\n }\n\n pub fn conditional_assign(predicate: bool, lhs: Self, rhs: Self) -> Self {\n let result = utils::conditional_assign(predicate, rhs.to_field(), lhs.to_field());\n Self { inner: result }\n }\n}\n\n#[test]\nfn compute_address_from_partial_and_pub_keys_hash() {\n let pub_keys_hash = PublicKeysHash::from_field(1);\n let partial_address = PartialAddress::from_field(2);\n\n let address = AztecAddress::compute(pub_keys_hash, partial_address);\n let expected_computed_address_from_partial_and_pubkey = 0x23ce9be3fa3c846b0f9245cc796902e731d04f086e8a42473bb29e405fc98075;\n assert(address.to_field() == expected_computed_address_from_partial_and_pubkey);\n}\n\n#[test]\nfn from_field_to_field() {\n let address = AztecAddress { inner: 37 };\n assert_eq(FromField::from_field(address.to_field()), address);\n}\n\n#[test]\nfn serde() {\n let address = AztecAddress { inner: 37 };\n assert_eq(Deserialize::deserialize(address.serialize()), address);\n}\n"},"308":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/address/salted_initialization_hash.nr","source":"use crate::{\n address::{aztec_address::AztecAddress}, constants::GENERATOR_INDEX__PARTIAL_ADDRESS,\n hash::poseidon2_hash_with_separator, traits::ToField\n};\n\n// Salted initialization hash. Used in the computation of a partial address.\npub struct SaltedInitializationHash {\n inner: Field\n}\n\nimpl ToField for SaltedInitializationHash {\n fn to_field(self) -> Field {\n self.inner\n }\n}\n\nimpl SaltedInitializationHash {\n pub fn from_field(field: Field) -> Self {\n Self { inner: field }\n }\n\n pub fn compute(salt: Field, initialization_hash: Field, deployer: AztecAddress) -> Self {\n SaltedInitializationHash::from_field(\n poseidon2_hash_with_separator(\n [\n salt,\n initialization_hash,\n deployer.to_field()\n ],\n GENERATOR_INDEX__PARTIAL_ADDRESS\n )\n )\n }\n\n pub fn assert_is_zero(self) {\n assert(self.to_field() == 0);\n }\n}\n"},"309":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/address/partial_address.nr","source":"use crate::{\n address::{salted_initialization_hash::SaltedInitializationHash, aztec_address::AztecAddress},\n constants::GENERATOR_INDEX__PARTIAL_ADDRESS, contract_class_id::ContractClassId,\n hash::poseidon2_hash_with_separator, traits::{ToField, Serialize, Deserialize}\n};\n\nglobal PARTIAL_ADDRESS_LENGTH: u32 = 1;\n\n// Partial address\npub struct PartialAddress {\n inner : Field\n}\n\nimpl ToField for PartialAddress {\n fn to_field(self) -> Field {\n self.inner\n }\n}\n\nimpl Serialize for PartialAddress {\n fn serialize(self: Self) -> [Field; PARTIAL_ADDRESS_LENGTH] {\n [self.to_field()]\n }\n}\n\nimpl Deserialize for PartialAddress {\n fn deserialize(fields: [Field; PARTIAL_ADDRESS_LENGTH]) -> Self {\n PartialAddress { inner: fields[0] }\n }\n}\n\nimpl PartialAddress {\n pub fn from_field(field: Field) -> Self {\n Self { inner: field }\n }\n\n pub fn compute(\n contract_class_id: ContractClassId,\n salt: Field,\n initialization_hash: Field,\n deployer: AztecAddress\n ) -> Self {\n PartialAddress::compute_from_salted_initialization_hash(\n contract_class_id,\n SaltedInitializationHash::compute(salt, initialization_hash, deployer)\n )\n }\n\n pub fn compute_from_salted_initialization_hash(\n contract_class_id: ContractClassId,\n salted_initialization_hash: SaltedInitializationHash\n ) -> Self {\n PartialAddress::from_field(\n poseidon2_hash_with_separator(\n [\n contract_class_id.to_field(),\n salted_initialization_hash.to_field()\n ],\n GENERATOR_INDEX__PARTIAL_ADDRESS\n )\n )\n }\n\n pub fn to_field(self) -> Field {\n self.inner\n }\n\n pub fn is_zero(self) -> bool {\n self.to_field() == 0\n }\n\n pub fn assert_is_zero(self) {\n assert(self.to_field() == 0);\n }\n}\n"},"314":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/hash.nr","source":"use crate::{\n abis::{\n contract_class_function_leaf_preimage::ContractClassFunctionLeafPreimage,\n function_selector::FunctionSelector, log_hash::{LogHash, ScopedLogHash, ScopedEncryptedLogHash},\n note_hash::ScopedNoteHash, nullifier::ScopedNullifier\n},\n address::{AztecAddress, EthAddress},\n constants::{\n FUNCTION_TREE_HEIGHT, GENERATOR_INDEX__SILOED_NOTE_HASH, GENERATOR_INDEX__OUTER_NULLIFIER,\n GENERATOR_INDEX__VK, GENERATOR_INDEX__NOTE_HASH_NONCE, GENERATOR_INDEX__UNIQUE_NOTE_HASH,\n MAX_ENCRYPTED_LOGS_PER_TX, MAX_NOTE_ENCRYPTED_LOGS_PER_TX\n},\n merkle_tree::root::root_from_sibling_path,\n messaging::l2_to_l1_message::{L2ToL1Message, ScopedL2ToL1Message},\n recursion::verification_key::VerificationKey, traits::{is_empty, ToField},\n utils::field::field_from_bytes_32_trunc\n};\nuse super::utils::field::field_from_bytes;\n\npub fn sha256_to_field(bytes_to_hash: [u8; N]) -> Field {\n let sha256_hashed = std::hash::sha256(bytes_to_hash);\n let hash_in_a_field = field_from_bytes_32_trunc(sha256_hashed);\n\n hash_in_a_field\n}\n\npub fn private_functions_root_from_siblings(\n selector: FunctionSelector,\n vk_hash: Field,\n function_leaf_index: Field,\n function_leaf_sibling_path: [Field; FUNCTION_TREE_HEIGHT]\n) -> Field {\n let function_leaf_preimage = ContractClassFunctionLeafPreimage { selector, vk_hash };\n let function_leaf = function_leaf_preimage.hash();\n root_from_sibling_path(function_leaf, function_leaf_index, function_leaf_sibling_path)\n}\n\nfn compute_note_hash_nonce(tx_hash: Field, note_index_in_tx: u32) -> Field {\n // Hashing tx hash with note index in tx is guaranteed to be unique\n poseidon2_hash_with_separator(\n [\n tx_hash,\n note_index_in_tx as Field\n ],\n GENERATOR_INDEX__NOTE_HASH_NONCE\n )\n}\n\npub fn compute_unique_note_hash(nonce: Field, note_hash: Field) -> Field {\n let inputs = [nonce, note_hash];\n poseidon2_hash_with_separator(inputs, GENERATOR_INDEX__UNIQUE_NOTE_HASH)\n}\n\npub fn compute_siloed_note_hash(app: AztecAddress, unique_note_hash: Field) -> Field {\n poseidon2_hash_with_separator(\n [\n app.to_field(),\n unique_note_hash\n ],\n GENERATOR_INDEX__SILOED_NOTE_HASH\n )\n}\n\n/// Siloing in the context of Aztec refers to the process of hashing a note hash with a contract address (this way\n/// the note hash is scoped to a specific contract). This is used to prevent intermingling of notes between contracts.\npub fn silo_note_hash(note_hash: ScopedNoteHash, tx_hash: Field, note_index_in_tx: u32) -> Field {\n if note_hash.contract_address.is_zero() {\n 0\n } else {\n let nonce = compute_note_hash_nonce(tx_hash, note_index_in_tx);\n let unique_note_hash = compute_unique_note_hash(nonce, note_hash.value());\n compute_siloed_note_hash(note_hash.contract_address, unique_note_hash)\n }\n}\n\npub fn compute_siloed_nullifier(app: AztecAddress, nullifier: Field) -> Field {\n poseidon2_hash_with_separator(\n [\n app.to_field(),\n nullifier\n ],\n GENERATOR_INDEX__OUTER_NULLIFIER\n )\n}\n\npub fn silo_nullifier(nullifier: ScopedNullifier) -> Field {\n if nullifier.contract_address.is_zero() {\n nullifier.value() // Return value instead of 0 because the first nullifier's contract address is zero.\n } else {\n compute_siloed_nullifier(nullifier.contract_address, nullifier.value())\n }\n}\n\npub fn silo_encrypted_log_hash(log_hash: ScopedLogHash) -> Field {\n // We assume contract address has already been masked\n if log_hash.contract_address.is_zero() {\n 0\n } else {\n accumulate_sha256([log_hash.contract_address.to_field(), log_hash.log_hash.value])\n }\n}\n\npub fn mask_encrypted_log_hash(scoped_log: ScopedEncryptedLogHash) -> AztecAddress {\n if scoped_log.contract_address.is_zero() {\n AztecAddress::from_field(0)\n } else if (scoped_log.log_hash.randomness == 0) {\n scoped_log.contract_address\n } else {\n AztecAddress::from_field(\n poseidon2_hash_with_separator(\n [scoped_log.contract_address.to_field(), scoped_log.log_hash.randomness],\n 0\n )\n )\n }\n}\n\nfn compute_siloed_unencrypted_log_hash(address: AztecAddress, log_hash: Field) -> Field {\n accumulate_sha256([address.to_field(), log_hash])\n}\n\npub fn silo_unencrypted_log_hash(log_hash: ScopedLogHash) -> Field {\n if log_hash.contract_address.is_zero() {\n 0\n } else {\n compute_siloed_unencrypted_log_hash(log_hash.contract_address, log_hash.value())\n }\n}\n\npub fn merkle_hash(left: Field, right: Field) -> Field {\n poseidon2_hash([left, right])\n}\n\npub fn stdlib_recursion_verification_key_compress_native_vk(_vk: VerificationKey) -> Field {\n // Original cpp code\n // stdlib::recursion::verification_key::compress_native(private_call.vk, GeneratorIndex::VK);\n // The above cpp method is only ever called on verification key, so it has been special cased here\n let _hash_index = GENERATOR_INDEX__VK;\n 0\n}\n\npub fn compute_l2_to_l1_hash(\n contract_address: AztecAddress,\n recipient: EthAddress,\n content: Field,\n rollup_version_id: Field,\n chain_id: Field\n) -> Field {\n let mut bytes: BoundedVec = BoundedVec::new();\n\n let inputs = [contract_address.to_field(), rollup_version_id, recipient.to_field(), chain_id, content];\n for i in 0..inputs.len() {\n // TODO are bytes be in fr.to_buffer() ?\n let item_bytes: [u8; 32] = inputs[i].to_be_bytes();\n for j in 0..32 {\n bytes.push(item_bytes[j]);\n }\n }\n\n sha256_to_field(bytes.storage)\n}\n\npub fn silo_l2_to_l1_message(msg: ScopedL2ToL1Message, rollup_version_id: Field, chain_id: Field) -> Field {\n if msg.contract_address.is_zero() {\n 0\n } else {\n compute_l2_to_l1_hash(\n msg.contract_address,\n msg.message.recipient,\n msg.message.content,\n rollup_version_id,\n chain_id\n )\n }\n}\n\n// Computes sha256 hash of 2 input hashes.\n//\n// NB: This method now takes in two 31 byte fields - it assumes that any input\n// is the result of a sha_to_field hash and => is truncated\n//\n// TODO(Jan and David): This is used for the encrypted_log hashes.\n// Can we check to see if we can just use hash_to_field or pedersen_compress here?\n//\npub fn accumulate_sha256(input: [Field; 2]) -> Field {\n // This is a note about the cpp code, since it takes an array of Fields\n // instead of a U128.\n // 4 Field elements when converted to bytes will usually\n // occupy 4 * 32 = 128 bytes.\n // However, this function is making the assumption that each Field\n // only occupies 128 bits.\n //\n // TODO(David): This does not seem to be getting guaranteed anywhere in the code?\n\n // Concatentate two fields into 32x2 = 64 bytes\n // accumulate_sha256 assumes that the inputs are pre-truncated 31 byte numbers\n let mut hash_input_flattened = [0; 64];\n for offset in 0..input.len() {\n let input_as_bytes: [u8; 32] = input[offset].to_be_bytes();\n for byte_index in 0..32 {\n hash_input_flattened[offset * 32 + byte_index] = input_as_bytes[byte_index];\n }\n }\n\n sha256_to_field(hash_input_flattened)\n}\n\n// Computes the final logs hash for a tx.\n// NB: this assumes MAX_ENCRYPTED_LOGS_PER_TX == MAX_UNENCRYPTED_LOGS_PER_TX\n// to avoid doubling code, since we can't define the byte len to be 32*N directly.\npub fn compute_tx_logs_hash(logs: [LogHash; MAX_ENCRYPTED_LOGS_PER_TX]) -> Field {\n // Convert each field element into a byte array and append the bytes to `hash_input_flattened`\n let mut hash_input_flattened = [0; MAX_ENCRYPTED_LOGS_PER_TX * 32];\n for offset in 0..MAX_ENCRYPTED_LOGS_PER_TX {\n let input_as_bytes: [u8; 32] = logs[offset].value.to_be_bytes();\n for byte_index in 0..32 {\n hash_input_flattened[offset * 32 + byte_index] = input_as_bytes[byte_index];\n }\n }\n // Ideally we would push to a slice then hash, but there is no sha_slice\n // Hardcode to 256 bytes for now\n let mut hash = sha256_to_field(hash_input_flattened);\n // Not having a 0 value hash for empty logs causes issues with empty txs\n // used for padding. Returning early is currently unsupported.\n // We always provide sorted logs here, so 0 being empty means all are empty.\n if is_empty(logs[0]) {\n hash = 0;\n }\n hash\n}\n\npub fn compute_tx_note_logs_hash(logs: [LogHash; MAX_NOTE_ENCRYPTED_LOGS_PER_TX]) -> Field {\n // Convert each field element into a byte array and append the bytes to `hash_input_flattened`\n let mut hash_input_flattened = [0; MAX_NOTE_ENCRYPTED_LOGS_PER_TX * 32];\n for offset in 0..MAX_NOTE_ENCRYPTED_LOGS_PER_TX {\n let input_as_bytes: [u8; 32] = logs[offset].value.to_be_bytes();\n for byte_index in 0..32 {\n hash_input_flattened[offset * 32 + byte_index] = input_as_bytes[byte_index];\n }\n }\n // Ideally we would push to a slice then hash, but there is no sha_slice\n // Hardcode to 256 bytes for now\n let mut hash = sha256_to_field(hash_input_flattened);\n // Not having a 0 value hash for empty logs causes issues with empty txs\n // used for padding. Returning early is currently unsupported.\n // We always provide sorted logs here, so 0 being empty means all are empty.\n if is_empty(logs[0]) {\n hash = 0;\n }\n hash\n}\n\npub fn pedersen_hash(inputs: [Field; N], hash_index: u32) -> Field {\n std::hash::pedersen_hash_with_separator(inputs, hash_index)\n}\n\npub fn poseidon2_hash(inputs: [Field; N]) -> Field {\n std::hash::poseidon2::Poseidon2::hash(inputs, N)\n}\n\n#[no_predicates]\npub fn poseidon2_hash_with_separator(\n inputs: [Field; N],\n separator: T\n) -> Field where T: ToField {\n // We manually hash the inputs here, since we cannot express with the type system a constant size inputs array of N + 1\n let in_len = N + 1;\n let two_pow_64 = 18446744073709551616;\n let iv : Field = (in_len as Field) * two_pow_64;\n let mut sponge = std::hash::poseidon2::Poseidon2::new(iv);\n sponge.absorb(separator.to_field());\n\n for i in 0..inputs.len() {\n sponge.absorb(inputs[i]);\n }\n\n sponge.squeeze()\n}\n\npub fn poseidon2_hash_with_separator_slice(inputs: [Field], separator: T) -> Field where T: ToField {\n let in_len = inputs.len() + 1;\n let two_pow_64 = 18446744073709551616;\n let iv : Field = (in_len as Field) * two_pow_64;\n let mut sponge = std::hash::poseidon2::Poseidon2::new(iv);\n sponge.absorb(separator.to_field());\n\n for i in 0..inputs.len() {\n sponge.absorb(inputs[i]);\n }\n\n sponge.squeeze()\n}\n\n#[no_predicates]\npub fn poseidon2_hash_bytes(inputs: [u8; N]) -> Field {\n // We manually hash the inputs here, since we cannot express with the type system a constant size inputs array of Math.ceil(N/31)\n let mut in_len = N / 31;\n let mut has_padding = false;\n if N % 31 != 0 {\n in_len += 1;\n has_padding = true;\n }\n\n let two_pow_64 = 18446744073709551616;\n let iv : Field = (in_len as Field) * two_pow_64;\n let mut sponge = std::hash::poseidon2::Poseidon2::new(iv);\n\n let mut current_field = [0; 31];\n for i in 0..inputs.len() {\n let index = i % 31;\n current_field[index] = inputs[i];\n if index == 30 {\n sponge.absorb(field_from_bytes(current_field, false));\n current_field = [0; 31];\n }\n }\n if has_padding {\n sponge.absorb(field_from_bytes(current_field, false));\n }\n\n sponge.squeeze()\n}\n\n#[test]\nfn smoke_sha256_to_field() {\n let full_buffer = [\n 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,\n 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,\n 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,\n 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79,\n 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99,\n 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119,\n 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159\n ];\n let result = sha256_to_field(full_buffer);\n\n assert(result == 0x448ebbc9e1a31220a2f3830c18eef61b9bd070e5084b7fa2a359fe729184c7);\n\n // to show correctness of the current ver (truncate one byte) vs old ver (mod full bytes):\n let result_bytes = std::hash::sha256(full_buffer);\n let truncated_field = crate::utils::field::field_from_bytes_32_trunc(result_bytes);\n assert(truncated_field == result);\n let mod_res = result + (result_bytes[31] as Field);\n assert(mod_res == 0x448ebbc9e1a31220a2f3830c18eef61b9bd070e5084b7fa2a359fe729184e0);\n}\n\n#[test]\nfn compute_l2_l1_hash() {\n // All zeroes\n let hash_result = compute_l2_to_l1_hash(AztecAddress::from_field(0), EthAddress::zero(), 0, 0, 0);\n assert(hash_result == 0xb393978842a0fa3d3e1470196f098f473f9678e72463cb65ec4ab5581856c2);\n\n // Non-zero case\n let hash_result = compute_l2_to_l1_hash(AztecAddress::from_field(1), EthAddress::from_field(3), 5, 2, 4);\n assert(hash_result == 0x3f88c1044a05e5340ed20466276500f6d45ca5603913b9091e957161734e16);\n}\n\n#[test]\nfn silo_l2_to_l1_message_matches_typescript() {\n let version = 4;\n let chainId = 5;\n\n let hash = silo_l2_to_l1_message(\n ScopedL2ToL1Message {\n message: L2ToL1Message { recipient: EthAddress::from_field(1), content: 2, counter: 0 },\n contract_address: AztecAddress::from_field(3)\n },\n version,\n chainId\n );\n\n // The following value was generated by `l2_to_l1_message.test.ts`\n let hash_from_typescript = 0x00c6155d69febb9d5039b374dd4f77bf57b7c881709aa524a18acaa0bd57476a;\n\n assert_eq(hash, hash_from_typescript);\n}\n"},"315":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/point.nr","source":"pub use dep::std::embedded_curve_ops::EmbeddedCurvePoint as Point;\nuse crate::{traits::{Deserialize, Empty, Hash, Serialize}, hash::poseidon2_hash};\n\nglobal POINT_LENGTH: u32 = 3;\n\nimpl Serialize for Point {\n fn serialize(self: Self) -> [Field; POINT_LENGTH] {\n [self.x, self.y, self.is_infinite as Field]\n }\n}\n\nimpl Hash for Point {\n fn hash(self) -> Field {\n poseidon2_hash(self.serialize())\n }\n}\n\nimpl Empty for Point {\n /// Note: Does not return a valid point on curve - instead represents an empty/\"unpopulated\" point struct (e.g.\n /// empty/unpopulated value in an array of points).\n fn empty() -> Self {\n Point { x: 0, y: 0, is_infinite: false }\n }\n}\n\nimpl Deserialize for Point {\n fn deserialize(serialized: [Field; POINT_LENGTH]) -> Point {\n Point { x: serialized[0], y: serialized[1], is_infinite: serialized[2] as bool }\n }\n}\n"},"329":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/easy-private-state/src/easy_private_uint.nr","source":"use dep::aztec::{\n context::PrivateContext, protocol_types::{address::AztecAddress},\n note::note_getter_options::NoteGetterOptions, state_vars::PrivateSet,\n encrypted_logs::encrypted_note_emission::encode_and_encrypt_note, keys::getters::get_public_keys\n};\nuse dep::value_note::{filter::filter_notes_min_sum, value_note::ValueNote};\n\npub struct EasyPrivateUint {\n context: Context,\n set: PrivateSet,\n storage_slot: Field,\n}\n\n// Holds a note that can act similarly to an int.\nimpl EasyPrivateUint {\n pub fn new(context: Context, storage_slot: Field) -> Self {\n assert(storage_slot != 0, \"Storage slot 0 not allowed. Storage slots must start from 1.\");\n let set = PrivateSet::new(context, storage_slot);\n EasyPrivateUint { context, set, storage_slot }\n }\n}\n\nimpl EasyPrivateUint<&mut PrivateContext> {\n // Very similar to `value_note::utils::increment`.\n pub fn add(self, addend: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n let owner_keys = get_public_keys(owner);\n let outgoing_viewer_keys = get_public_keys(outgoing_viewer);\n // Creates new note for the owner.\n let mut addend_note = ValueNote::new(addend as Field, owner_keys.npk_m.hash());\n\n // Insert the new note to the owner's set of notes.\n // docs:start:insert\n self.set.insert(&mut addend_note).emit(\n encode_and_encrypt_note(\n self.context,\n outgoing_viewer_keys.ovpk_m,\n owner_keys.ivpk_m,\n owner\n )\n );\n // docs:end:insert\n }\n\n // Very similar to `value_note::utils::decrement`.\n pub fn sub(self, subtrahend: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n let owner_keys = get_public_keys(owner);\n let outgoing_viewer_keys = get_public_keys(outgoing_viewer);\n\n // docs:start:pop_notes\n let options = NoteGetterOptions::with_filter(filter_notes_min_sum, subtrahend as Field);\n let notes = self.set.pop_notes(options);\n // docs:end:pop_notes\n\n let mut minuend: u64 = 0;\n for i in 0..options.limit {\n if i < notes.len() {\n let note = notes.get_unchecked(i);\n\n minuend += note.value as u64;\n }\n }\n\n assert(minuend >= subtrahend);\n\n // Creates change note for the owner.\n let result_value = minuend - subtrahend;\n let mut result_note = ValueNote::new(result_value as Field, owner_keys.npk_m.hash());\n self.set.insert(&mut result_note).emit(\n encode_and_encrypt_note(\n self.context,\n outgoing_viewer_keys.ovpk_m,\n owner_keys.ivpk_m,\n owner\n )\n );\n }\n}\n"},"334":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/value-note/src/value_note.nr","source":"use dep::aztec::{\n protocol_types::{traits::Serialize, constants::GENERATOR_INDEX__NOTE_NULLIFIER, hash::poseidon2_hash_with_separator},\n macros::notes::note,\n note::{note_header::NoteHeader, note_interface::NullifiableNote, utils::compute_note_hash_for_nullify},\n oracle::random::random, keys::getters::get_nsk_app, context::PrivateContext\n};\n\nglobal VALUE_NOTE_LEN: u32 = 3; // 3 plus a header.\n\n// docs:start:value-note-def\n// ValueNote is used as fn parameter in the Claim contract, so it has to implement the Serialize trait.\n// It is important that the order of these annotations is preserved so that derive(Serialize) runs AFTER the note macro, which injects the note header.\n#[note]\n#[derive(Serialize)]\npub struct ValueNote {\n value: Field,\n // The nullifying public key hash is used with the nsk_app to ensure that the note can be privately spent.\n npk_m_hash: Field,\n randomness: Field,\n}\n// docs:end:value-note-def\n\nimpl NullifiableNote for ValueNote {\n // docs:start:nullifier\n\n fn compute_nullifier(self, context: &mut PrivateContext, note_hash_for_nullify: Field) -> Field {\n let secret = context.request_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n\n // docs:end:nullifier\n\n unconstrained fn compute_nullifier_without_context(self) -> Field {\n let note_hash_for_nullify = compute_note_hash_for_nullify(self);\n let secret = get_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n}\n\nimpl ValueNote {\n pub fn new(value: Field, npk_m_hash: Field) -> Self {\n // We use the randomness to preserve the privacy of the note recipient by preventing brute-forcing, so a\n // malicious sender could use non-random values to make the note less private. But they already know the full\n // note pre-image anyway, and so the recipient already trusts them to not disclose this information. We can\n // therefore assume that the sender will cooperate in the random value generation.\n let randomness = unsafe {\n random()\n };\n let header = NoteHeader::empty();\n ValueNote { value, npk_m_hash, randomness, header }\n }\n}\n\nimpl Eq for ValueNote {\n fn eq(self, other: Self) -> bool {\n (self.value == other.value)\n & (self.npk_m_hash == other.npk_m_hash)\n & (self.randomness == other.randomness)\n }\n}\n"},"34":{"path":"std/hash/poseidon2.nr","source":"use crate::hash::Hasher;\nuse crate::default::Default;\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 if message_size == N {\n Poseidon2::hash_internal(input, N, false)\n } else {\n Poseidon2::hash_internal(input, message_size, true)\n }\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result = 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::hash::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(input: [Field; N], in_len: u32, is_variable_length: bool) -> 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"},"35":{"path":"std/hash/sha256.nr","source":"use crate::runtime::is_unconstrained;\n\n// Implementation of SHA-256 mapping a byte array of variable length to\n// 32 bytes.\n\n// Deprecated in favour of `sha256_var`\n// docs:start:sha256\npub fn sha256(input: [u8; N]) -> [u8; 32]\n// docs:end:sha256\n{\n digest(input)\n}\n\n#[foreign(sha256_compression)]\npub fn sha256_compression(_input: [u32; 16], _state: [u32; 8]) -> [u32; 8] {}\n\n// SHA-256 hash function\n#[no_predicates]\npub fn digest(msg: [u8; N]) -> [u8; 32] {\n sha256_var(msg, N as u64)\n}\n\n// Convert 64-byte array to array of 16 u32s\nfn msg_u8_to_u32(msg: [u8; 64]) -> [u32; 16] {\n let mut msg32: [u32; 16] = [0; 16];\n\n for i in 0..16 {\n let mut msg_field: Field = 0;\n for j in 0..4 {\n msg_field = msg_field * 256 + msg[64 - 4*(i + 1) + j] as Field;\n }\n msg32[15 - i] = msg_field as u32;\n }\n\n msg32\n}\n\nunconstrained fn build_msg_block_iter(msg: [u8; N], message_size: u32, msg_start: u32) -> ([u8; 64], u32) {\n let mut msg_block: [u8; BLOCK_SIZE] = [0; BLOCK_SIZE];\n // We insert `BLOCK_SIZE` bytes (or up to the end of the message)\n let block_input = if msg_start + BLOCK_SIZE > message_size {\n if message_size < msg_start {\n // This function is sometimes called with `msg_start` past the end of the message.\n // In this case we return an empty block and zero pointer to signal that the result should be ignored.\n 0\n } else {\n message_size - msg_start\n }\n } else {\n BLOCK_SIZE\n };\n for k in 0..block_input {\n msg_block[k] = msg[msg_start + k];\n }\n (msg_block, block_input)\n}\n\n// Verify the block we are compressing was appropriately constructed\nfn verify_msg_block(\n msg: [u8; N],\n message_size: u32,\n msg_block: [u8; 64],\n msg_start: u32\n) -> u32 {\n let mut msg_byte_ptr: u32 = 0; // Message byte pointer\n let mut msg_end = msg_start + BLOCK_SIZE;\n if msg_end > N {\n msg_end = N;\n }\n\n for k in msg_start..msg_end {\n if k < message_size {\n assert_eq(msg_block[msg_byte_ptr], msg[k]);\n msg_byte_ptr = msg_byte_ptr + 1;\n }\n }\n\n msg_byte_ptr\n}\n\nglobal BLOCK_SIZE = 64;\nglobal ZERO = 0;\n\n// Variable size SHA-256 hash\npub fn sha256_var(msg: [u8; N], message_size: u64) -> [u8; 32] {\n let message_size = message_size as u32;\n let num_blocks = N / BLOCK_SIZE;\n let mut msg_block: [u8; BLOCK_SIZE] = [0; BLOCK_SIZE];\n let mut h: [u32; 8] = [1779033703, 3144134277, 1013904242, 2773480762, 1359893119, 2600822924, 528734635, 1541459225]; // Intermediate hash, starting with the canonical initial value\n let mut msg_byte_ptr = 0; // Pointer into msg_block\n\n for i in 0..num_blocks {\n let msg_start = BLOCK_SIZE * i;\n let (new_msg_block, new_msg_byte_ptr) = unsafe {\n build_msg_block_iter(msg, message_size, msg_start)\n };\n if msg_start < message_size {\n msg_block = new_msg_block;\n }\n\n if !is_unconstrained() {\n // Verify the block we are compressing was appropriately constructed\n let new_msg_byte_ptr = verify_msg_block(msg, message_size, msg_block, msg_start);\n if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n } else if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n\n // If the block is filled, compress it.\n // An un-filled block is handled after this loop.\n if (msg_start < message_size) & (msg_byte_ptr == BLOCK_SIZE) {\n h = sha256_compression(msg_u8_to_u32(msg_block), h);\n }\n }\n\n let modulo = N % BLOCK_SIZE;\n // Handle setup of the final msg block.\n // This case is only hit if the msg is less than the block size,\n // or our message cannot be evenly split into blocks.\n if modulo != 0 {\n let msg_start = BLOCK_SIZE * num_blocks;\n let (new_msg_block, new_msg_byte_ptr) = unsafe {\n build_msg_block_iter(msg, message_size, msg_start)\n };\n\n if msg_start < message_size {\n msg_block = new_msg_block;\n }\n\n if !is_unconstrained() {\n let new_msg_byte_ptr = verify_msg_block(msg, message_size, msg_block, msg_start);\n if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n } else if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n }\n\n if msg_byte_ptr == BLOCK_SIZE {\n msg_byte_ptr = 0;\n }\n\n // This variable is used to get around the compiler under-constrained check giving a warning.\n // We want to check against a constant zero, but if it does not come from the circuit inputs\n // or return values the compiler check will issue a warning.\n let zero = msg_block[0] - msg_block[0];\n\n // Pad the rest such that we have a [u32; 2] block at the end representing the length\n // of the message, and a block of 1 0 ... 0 following the message (i.e. [1 << 7, 0, ..., 0]).\n msg_block[msg_byte_ptr] = 1 << 7;\n let last_block = msg_block;\n msg_byte_ptr = msg_byte_ptr + 1;\n\n unsafe {\n let (new_msg_block, new_msg_byte_ptr) = pad_msg_block(msg_block, msg_byte_ptr);\n msg_block = new_msg_block;\n if crate::runtime::is_unconstrained() {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n }\n\n if !crate::runtime::is_unconstrained() {\n for i in 0..BLOCK_SIZE {\n assert_eq(msg_block[i], last_block[i]);\n }\n\n // If i >= 57, there aren't enough bits in the current message block to accomplish this, so\n // the 1 and 0s fill up the current block, which we then compress accordingly.\n // Not enough bits (64) to store length. Fill up with zeros.\n for _i in 57..BLOCK_SIZE {\n if msg_byte_ptr <= 63 & msg_byte_ptr >= 57 {\n assert_eq(msg_block[msg_byte_ptr], zero);\n msg_byte_ptr += 1;\n }\n }\n }\n\n if msg_byte_ptr >= 57 {\n h = sha256_compression(msg_u8_to_u32(msg_block), h);\n\n msg_byte_ptr = 0;\n }\n\n msg_block = unsafe {\n attach_len_to_msg_block(msg_block, msg_byte_ptr, message_size)\n };\n\n if !crate::runtime::is_unconstrained() {\n for i in 0..56 {\n let predicate = (i < msg_byte_ptr) as u8;\n let expected_byte = predicate * last_block[i];\n assert_eq(msg_block[i], expected_byte);\n }\n\n // We verify the message length was inserted correctly by reversing the byte decomposition.\n let len = 8 * message_size;\n let mut reconstructed_len: Field = 0;\n for i in 56..64 {\n reconstructed_len = 256 * reconstructed_len + msg_block[i] as Field;\n }\n assert_eq(reconstructed_len, len as Field);\n }\n\n hash_final_block(msg_block, h)\n}\n\nunconstrained fn pad_msg_block(\n mut msg_block: [u8; 64],\n mut msg_byte_ptr: u32\n) -> ([u8; BLOCK_SIZE], u32) {\n // If i >= 57, there aren't enough bits in the current message block to accomplish this, so\n // the 1 and 0s fill up the current block, which we then compress accordingly.\n if msg_byte_ptr >= 57 {\n // Not enough bits (64) to store length. Fill up with zeros.\n for i in msg_byte_ptr..BLOCK_SIZE {\n msg_block[i] = 0;\n }\n (msg_block, BLOCK_SIZE)\n } else {\n (msg_block, msg_byte_ptr)\n }\n}\n\nunconstrained fn attach_len_to_msg_block(mut msg_block: [u8; BLOCK_SIZE], msg_byte_ptr: u32, message_size: u32) -> [u8; BLOCK_SIZE] {\n // We assume that `msg_byte_ptr` is less than 57 because if not then it is reset to zero before calling this function.\n // In any case, fill blocks up with zeros until the last 64 (i.e. until msg_byte_ptr = 56).\n\n for i in msg_byte_ptr..56 {\n msg_block[i] = 0;\n }\n\n let len = 8 * message_size;\n let len_bytes: [u8; 8] = (len as Field).to_be_bytes();\n for i in 0..8 {\n msg_block[56 + i] = len_bytes[i];\n }\n msg_block\n}\n\nfn hash_final_block(msg_block: [u8; BLOCK_SIZE], mut state: [u32; 8]) -> [u8; 32] {\n let mut out_h: [u8; 32] = [0; 32]; // Digest as sequence of bytes\n\n // Hash final padded block\n state = sha256_compression(msg_u8_to_u32(msg_block), state);\n\n // Return final hash as byte array\n for j in 0..8 {\n let h_bytes: [u8; 4] = (state[7 - j] as Field).to_le_bytes();\n for k in 0..4 {\n out_h[31 - 4*j - k] = h_bytes[k];\n }\n }\n\n out_h\n}\n\nmod tests {\n use super::sha256_var;\n\n #[test]\n fn smoke_test() {\n let input = [0xbd];\n let result = [\n 0x68, 0x32, 0x57, 0x20, 0xaa, 0xbd, 0x7c, 0x82, 0xf3, 0x0f, 0x55, 0x4b, 0x31, 0x3d, 0x05, 0x70, 0xc9, 0x5a, 0xcc, 0xbb, 0x7d, 0xc4, 0xb5, 0xaa, 0xe1, 0x12, 0x04, 0xc0, 0x8f, 0xfe, 0x73, 0x2b\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_just_over_block() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59, 32, 99, 104, 97, 114, 115, 101, 116\n ];\n let result = [\n 91, 122, 146, 93, 52, 109, 133, 148, 171, 61, 156, 70, 189, 238, 153, 7, 222, 184, 94, 24, 65, 114, 192, 244, 207, 199, 87, 232, 192, 224, 171, 207\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_multiple_over_block() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59, 32, 99, 104, 97, 114, 115, 101, 116, 61, 117, 115, 45, 97, 115, 99, 105, 105, 13, 10, 109, 105, 109, 101, 45, 118, 101, 114, 115, 105, 111, 110, 58, 49, 46, 48, 32, 40, 77, 97, 99, 32, 79, 83, 32, 88, 32, 77, 97, 105, 108, 32, 49, 54, 46, 48, 32, 92, 40, 51, 55, 51, 49, 46, 53, 48, 48, 46, 50, 51, 49, 92, 41, 41, 13, 10, 115, 117, 98, 106, 101, 99, 116, 58, 72, 101, 108, 108, 111, 13, 10, 109, 101, 115, 115, 97, 103, 101, 45, 105, 100, 58, 60, 56, 70, 56, 49, 57, 68, 51, 50, 45, 66, 54, 65, 67, 45, 52, 56, 57, 68, 45, 57, 55, 55, 70, 45, 52, 51, 56, 66, 66, 67, 52, 67, 65, 66, 50, 55, 64, 109, 101, 46, 99, 111, 109, 62, 13, 10, 100, 97, 116, 101, 58, 83, 97, 116, 44, 32, 50, 54, 32, 65, 117, 103, 32, 50, 48, 50, 51, 32, 49, 50, 58, 50, 53, 58, 50, 50, 32, 43, 48, 52, 48, 48, 13, 10, 116, 111, 58, 122, 107, 101, 119, 116, 101, 115, 116, 64, 103, 109, 97, 105, 108, 46, 99, 111, 109, 13, 10, 100, 107, 105, 109, 45, 115, 105, 103, 110, 97, 116, 117, 114, 101, 58, 118, 61, 49, 59, 32, 97, 61, 114, 115, 97, 45, 115, 104, 97, 50, 53, 54, 59, 32, 99, 61, 114, 101, 108, 97, 120, 101, 100, 47, 114, 101, 108, 97, 120, 101, 100, 59, 32, 100, 61, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 59, 32, 115, 61, 49, 97, 49, 104, 97, 105, 59, 32, 116, 61, 49, 54, 57, 51, 48, 51, 56, 51, 51, 55, 59, 32, 98, 104, 61, 55, 120, 81, 77, 68, 117, 111, 86, 86, 85, 52, 109, 48, 87, 48, 87, 82, 86, 83, 114, 86, 88, 77, 101, 71, 83, 73, 65, 83, 115, 110, 117, 99, 75, 57, 100, 74, 115, 114, 99, 43, 118, 85, 61, 59, 32, 104, 61, 102, 114, 111, 109, 58, 67, 111, 110, 116, 101, 110, 116, 45, 84, 121, 112, 101, 58, 77, 105, 109, 101, 45, 86, 101, 114, 115, 105, 111, 110, 58, 83, 117, 98, 106, 101, 99\n ];\n let result = [\n 116, 90, 151, 31, 78, 22, 138, 180, 211, 189, 69, 76, 227, 200, 155, 29, 59, 123, 154, 60, 47, 153, 203, 129, 157, 251, 48, 2, 79, 11, 65, 47\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_just_under_block() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59\n ];\n let result = [\n 143, 140, 76, 173, 222, 123, 102, 68, 70, 149, 207, 43, 39, 61, 34, 79, 216, 252, 213, 165, 74, 16, 110, 74, 29, 64, 138, 167, 30, 1, 9, 119\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_big_not_block_multiple() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59, 32, 99, 104, 97, 114, 115, 101, 116, 61, 117, 115, 45, 97, 115, 99, 105, 105, 13, 10, 109, 105, 109, 101, 45, 118, 101, 114, 115, 105, 111, 110, 58, 49, 46, 48, 32, 40, 77, 97, 99, 32, 79, 83, 32, 88, 32, 77, 97, 105, 108, 32, 49, 54, 46, 48, 32, 92, 40, 51, 55, 51, 49, 46, 53, 48, 48, 46, 50, 51, 49, 92, 41, 41, 13, 10, 115, 117, 98, 106, 101, 99, 116, 58, 72, 101, 108, 108, 111, 13, 10, 109, 101, 115, 115, 97, 103, 101, 45, 105, 100, 58, 60, 56, 70, 56, 49, 57, 68, 51, 50, 45, 66, 54, 65, 67, 45, 52, 56, 57, 68, 45, 57, 55, 55, 70, 45, 52, 51, 56, 66, 66, 67, 52, 67, 65, 66, 50, 55, 64, 109, 101, 46, 99, 111, 109, 62, 13, 10, 100, 97, 116, 101, 58, 83, 97, 116, 44, 32, 50, 54, 32, 65, 117, 103, 32, 50, 48, 50, 51, 32, 49, 50, 58, 50, 53, 58, 50, 50, 32, 43, 48, 52, 48, 48, 13, 10, 116, 111, 58, 122, 107, 101, 119, 116, 101, 115, 116, 64, 103, 109, 97, 105, 108, 46, 99, 111, 109, 13, 10, 100, 107, 105, 109, 45, 115, 105, 103, 110, 97, 116, 117, 114, 101, 58, 118, 61, 49, 59, 32, 97, 61, 114, 115, 97, 45, 115, 104, 97, 50, 53, 54, 59, 32, 99, 61, 114, 101, 108, 97, 120, 101, 100, 47, 114, 101, 108, 97, 120, 101, 100, 59, 32, 100, 61, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 59, 32, 115, 61, 49, 97, 49, 104, 97, 105, 59, 32, 116, 61, 49, 54, 57, 51, 48, 51, 56, 51, 51, 55, 59, 32, 98, 104, 61, 55, 120, 81, 77, 68, 117, 111, 86, 86, 85, 52, 109, 48, 87, 48, 87, 82, 86, 83, 114, 86, 88, 77, 101, 71, 83, 73, 65, 83, 115, 110, 117, 99, 75, 57, 100, 74, 115, 114, 99, 43, 118, 85, 61, 59, 32, 104, 61, 102, 114, 111, 109, 58, 67, 111, 110, 116, 101, 110, 116, 45, 84, 121, 112, 101, 58, 77, 105, 109, 101, 45, 86, 101, 114, 115, 105, 111, 110, 58, 83, 117, 98, 106, 101, 99, 116, 58, 77, 101, 115, 115, 97, 103, 101, 45, 73, 100, 58, 68, 97, 116, 101, 58, 116, 111, 59, 32, 98, 61\n ];\n let result = [\n 112, 144, 73, 182, 208, 98, 9, 238, 54, 229, 61, 145, 222, 17, 72, 62, 148, 222, 186, 55, 192, 82, 220, 35, 66, 47, 193, 200, 22, 38, 26, 186\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_big_with_padding() {\n let input = [\n 48, 130, 1, 37, 2, 1, 0, 48, 11, 6, 9, 96, 134, 72, 1, 101, 3, 4, 2, 1, 48, 130, 1, 17, 48, 37, 2, 1, 1, 4, 32, 176, 223, 31, 133, 108, 84, 158, 102, 70, 11, 165, 175, 196, 12, 201, 130, 25, 131, 46, 125, 156, 194, 28, 23, 55, 133, 157, 164, 135, 136, 220, 78, 48, 37, 2, 1, 2, 4, 32, 190, 82, 180, 235, 222, 33, 79, 50, 152, 136, 142, 35, 116, 224, 6, 242, 156, 141, 128, 248, 10, 61, 98, 86, 248, 45, 207, 210, 90, 232, 175, 38, 48, 37, 2, 1, 3, 4, 32, 0, 194, 104, 108, 237, 246, 97, 230, 116, 198, 69, 110, 26, 87, 17, 89, 110, 199, 108, 250, 36, 21, 39, 87, 110, 102, 250, 213, 174, 131, 171, 174, 48, 37, 2, 1, 11, 4, 32, 136, 155, 87, 144, 111, 15, 152, 127, 85, 25, 154, 81, 20, 58, 51, 75, 193, 116, 234, 0, 60, 30, 29, 30, 183, 141, 72, 247, 255, 203, 100, 124, 48, 37, 2, 1, 12, 4, 32, 41, 234, 106, 78, 31, 11, 114, 137, 237, 17, 92, 71, 134, 47, 62, 78, 189, 233, 201, 214, 53, 4, 47, 189, 201, 133, 6, 121, 34, 131, 64, 142, 48, 37, 2, 1, 13, 4, 32, 91, 222, 210, 193, 62, 222, 104, 82, 36, 41, 138, 253, 70, 15, 148, 208, 156, 45, 105, 171, 241, 195, 185, 43, 217, 162, 146, 201, 222, 89, 238, 38, 48, 37, 2, 1, 14, 4, 32, 76, 123, 216, 13, 51, 227, 72, 245, 59, 193, 238, 166, 103, 49, 23, 164, 171, 188, 194, 197, 156, 187, 249, 28, 198, 95, 69, 15, 182, 56, 54, 38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n ];\n let result = [\n 32, 85, 108, 174, 127, 112, 178, 182, 8, 43, 134, 123, 192, 211, 131, 66, 184, 240, 212, 181, 240, 180, 106, 195, 24, 117, 54, 129, 19, 10, 250, 53\n ];\n let message_size = 297;\n assert_eq(sha256_var(input, message_size), result);\n }\n\n #[test]\n fn msg_big_no_padding() {\n let input = [\n 48, 130, 1, 37, 2, 1, 0, 48, 11, 6, 9, 96, 134, 72, 1, 101, 3, 4, 2, 1, 48, 130, 1, 17, 48, 37, 2, 1, 1, 4, 32, 176, 223, 31, 133, 108, 84, 158, 102, 70, 11, 165, 175, 196, 12, 201, 130, 25, 131, 46, 125, 156, 194, 28, 23, 55, 133, 157, 164, 135, 136, 220, 78, 48, 37, 2, 1, 2, 4, 32, 190, 82, 180, 235, 222, 33, 79, 50, 152, 136, 142, 35, 116, 224, 6, 242, 156, 141, 128, 248, 10, 61, 98, 86, 248, 45, 207, 210, 90, 232, 175, 38, 48, 37, 2, 1, 3, 4, 32, 0, 194, 104, 108, 237, 246, 97, 230, 116, 198, 69, 110, 26, 87, 17, 89, 110, 199, 108, 250, 36, 21, 39, 87, 110, 102, 250, 213, 174, 131, 171, 174, 48, 37, 2, 1, 11, 4, 32, 136, 155, 87, 144, 111, 15, 152, 127, 85, 25, 154, 81, 20, 58, 51, 75, 193, 116, 234, 0, 60, 30, 29, 30, 183, 141, 72, 247, 255, 203, 100, 124, 48, 37, 2, 1, 12, 4, 32, 41, 234, 106, 78, 31, 11, 114, 137, 237, 17, 92, 71, 134, 47, 62, 78, 189, 233, 201, 214, 53, 4, 47, 189, 201, 133, 6, 121, 34, 131, 64, 142, 48, 37, 2, 1, 13, 4, 32, 91, 222, 210, 193, 62, 222, 104, 82, 36, 41, 138, 253, 70, 15, 148, 208, 156, 45, 105, 171, 241, 195, 185, 43, 217, 162, 146, 201, 222, 89, 238, 38, 48, 37, 2, 1, 14, 4, 32, 76, 123, 216, 13, 51, 227, 72, 245, 59, 193, 238, 166, 103, 49, 23, 164, 171, 188, 194, 197, 156, 187, 249, 28, 198, 95, 69, 15, 182, 56, 54, 38\n ];\n let result = [\n 32, 85, 108, 174, 127, 112, 178, 182, 8, 43, 134, 123, 192, 211, 131, 66, 184, 240, 212, 181, 240, 180, 106, 195, 24, 117, 54, 129, 19, 10, 250, 53\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn same_msg_len_variable_padding() {\n let input = [\n 29, 81, 165, 84, 243, 114, 101, 37, 242, 146, 127, 99, 69, 145, 39, 72, 213, 39, 253, 179, 218, 37, 217, 201, 172, 93, 198, 50, 249, 70, 15, 30, 162, 112, 187, 40, 140, 9, 236, 53, 32, 44, 38, 163, 113, 254, 192, 197, 44, 89, 71, 130, 169, 242, 17, 211, 214, 72, 19, 178, 186, 168, 147, 127, 99, 101, 252, 227, 8, 147, 150, 85, 97, 158, 17, 107, 218, 244, 82, 113, 247, 91, 208, 214, 60, 244, 87, 137, 173, 201, 130, 18, 66, 56, 198, 149, 207, 189, 175, 120, 123, 224, 177, 167, 251, 159, 143, 110, 68, 183, 189, 70, 126, 32, 35, 164, 44, 30, 44, 12, 65, 18, 62, 239, 242, 2, 248, 104, 2, 178, 64, 28, 126, 36, 137, 24, 14, 116, 91, 98, 90, 159, 218, 102, 45, 11, 110, 223, 245, 184, 52, 99, 59, 245, 136, 175, 3, 72, 164, 146, 145, 116, 22, 66, 24, 49, 193, 121, 3, 60, 37, 41, 97, 3, 190, 66, 195, 225, 63, 46, 3, 118, 4, 208, 15, 1, 40, 254, 235, 151, 123, 70, 180, 170, 44, 172, 90, 4, 254, 53, 239, 116, 246, 67, 56, 129, 61, 22, 169, 213, 65, 27, 216, 116, 162, 239, 214, 207, 126, 177, 20, 100, 25, 48, 143, 84, 215, 70, 197, 53, 65, 70, 86, 172, 61, 62, 9, 212, 167, 169, 133, 41, 126, 213, 196, 33, 192, 238, 0, 63, 246, 215, 58, 128, 110, 101, 92, 3, 170, 214, 130, 149, 52, 81, 125, 118, 233, 3, 118, 193, 104, 207, 120, 115, 77, 253, 191, 122, 0, 107, 164, 207, 113, 81, 169, 36, 201, 228, 74, 134, 131, 218, 178, 35, 30, 216, 101, 2, 103, 174, 87, 95, 50, 50, 215, 157, 5, 210, 188, 54, 211, 78, 45, 199, 96, 121, 241, 241, 176, 226, 194, 134, 130, 89, 217, 210, 186, 32, 140, 39, 91, 103, 212, 26, 87, 32, 72, 144, 228, 230, 117, 99, 188, 50, 15, 69, 79, 179, 50, 12, 106, 86, 218, 101, 73, 142, 243, 29, 250, 122, 228, 233, 29, 255, 22, 121, 114, 125, 103, 41, 250, 241, 179, 126, 158, 198, 116, 209, 65, 94, 98, 228, 175, 169, 96, 3, 9, 233, 133, 214, 55, 161, 164, 103, 80, 85, 24, 186, 64, 167, 92, 131, 53, 101, 202, 47, 25, 104, 118, 155, 14, 12, 12, 25, 116, 45, 221, 249, 28, 246, 212, 200, 157, 167, 169, 56, 197, 181, 4, 245, 146, 1, 140, 234, 191, 212, 228, 125, 87, 81, 86, 119, 30, 63, 129, 143, 32, 96\n ];\n\n // Prepare inputs of different lengths\n let mut input_511 = [0; 511];\n let mut input_512 = [0; 512]; // Next block\n let mut input_575 = [0; 575];\n let mut input_576 = [0; 576]; // Next block\n for i in 0..input.len() {\n input_511[i] = input[i];\n input_512[i] = input[i];\n input_575[i] = input[i];\n input_576[i] = input[i];\n }\n\n // Compute hashes of all inputs (with same message length)\n let fixed_length_hash = super::sha256(input);\n let var_full_length_hash = sha256_var(input, input.len() as u64);\n let var_length_hash_511 = sha256_var(input_511, input.len() as u64);\n let var_length_hash_512 = sha256_var(input_512, input.len() as u64);\n let var_length_hash_575 = sha256_var(input_575, input.len() as u64);\n let var_length_hash_576 = sha256_var(input_576, input.len() as u64);\n\n // All of the above should have produced the same hash\n assert_eq(var_full_length_hash, fixed_length_hash);\n assert_eq(var_length_hash_511, fixed_length_hash);\n assert_eq(var_length_hash_512, fixed_length_hash);\n assert_eq(var_length_hash_575, fixed_length_hash);\n assert_eq(var_length_hash_576, fixed_length_hash);\n }\n}\n"},"59":{"path":"std/panic.nr","source":"pub fn panic(message: fmtstr) -> U {\n assert(false, message);\n crate::mem::zeroed()\n}\n"},"7":{"path":"std/collections/bounded_vec.nr","source":"use crate::{cmp::Eq, convert::From};\n\n/// A `BoundedVec` is a growable storage similar to a `Vec` except that it\n/// is bounded with a maximum possible length. Unlike `Vec`, `BoundedVec` is not implemented\n/// via slices and thus is not subject to the same restrictions slices are (notably, nested\n/// slices - and thus nested vectors as well - are disallowed).\n/// \n/// Since a BoundedVec is backed by a normal array under the hood, growing the BoundedVec by\n/// pushing an additional element is also more efficient - the length only needs to be increased\n/// by one.\n/// \n/// For these reasons `BoundedVec` should generally be preferred over `Vec` when there\n/// is a reasonable maximum bound that can be placed on the vector.\n/// \n/// Example:\n/// \n/// ```noir\n/// let mut vector: BoundedVec = BoundedVec::new();\n/// for i in 0..5 {\n/// vector.push(i);\n/// }\n/// assert(vector.len() == 5);\n/// assert(vector.max_len() == 10);\n/// ```\npub struct BoundedVec {\n storage: [T; MaxLen],\n len: u32,\n}\n\nimpl BoundedVec {\n /// Creates a new, empty vector of length zero.\n ///\n /// Since this container is backed by an array internally, it still needs an initial value\n /// to give each element. To resolve this, each element is zeroed internally. This value\n /// is guaranteed to be inaccessible unless `get_unchecked` is used.\n ///\n /// Example:\n ///\n /// ```noir\n /// let empty_vector: BoundedVec = BoundedVec::new();\n /// assert(empty_vector.len() == 0);\n /// ```\n ///\n /// Note that whenever calling `new` the maximum length of the vector should always be specified\n /// via a type signature:\n ///\n /// ```noir\n /// fn good() -> BoundedVec {\n /// // Ok! MaxLen is specified with a type annotation\n /// let v1: BoundedVec = BoundedVec::new();\n /// let v2 = BoundedVec::new();\n ///\n /// // Ok! MaxLen is known from the type of `good`'s return value\n /// v2\n /// }\n ///\n /// fn bad() {\n /// // Error: Type annotation needed\n /// // The compiler can't infer `MaxLen` from the following code:\n /// let mut v3 = BoundedVec::new();\n /// v3.push(5);\n /// }\n /// ```\n ///\n /// This defaulting of `MaxLen` (and numeric generics in general) to zero may change in future noir versions\n /// but for now make sure to use type annotations when using bounded vectors. Otherwise, you will receive a \n /// constraint failure at runtime when the vec is pushed to.\n pub fn new() -> Self {\n let zeroed = crate::mem::zeroed();\n BoundedVec { storage: [zeroed; MaxLen], len: 0 }\n }\n\n /// Retrieves an element from the vector at the given index, starting from zero.\n /// \n /// If the given index is equal to or greater than the length of the vector, this\n /// will issue a constraint failure.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn foo(v: BoundedVec) {\n /// let first = v.get(0);\n /// let last = v.get(v.len() - 1);\n /// assert(first != last);\n /// }\n /// ```\n pub fn get(self, index: u32) -> T {\n assert(index < self.len, \"Attempted to read past end of BoundedVec\");\n self.get_unchecked(index)\n }\n\n /// Retrieves an element from the vector at the given index, starting from zero, without\n /// performing a bounds check.\n /// \n /// Since this function does not perform a bounds check on length before accessing the element,\n /// it is unsafe! Use at your own risk!\n /// \n /// Example:\n /// \n /// ```noir\n /// fn sum_of_first_three(v: BoundedVec) -> u32 {\n /// // Always ensure the length is larger than the largest\n /// // index passed to get_unchecked\n /// assert(v.len() > 2);\n /// let first = v.get_unchecked(0);\n /// let second = v.get_unchecked(1);\n /// let third = v.get_unchecked(2);\n /// first + second + third\n /// }\n /// ```\n pub fn get_unchecked(self, index: u32) -> T {\n self.storage[index]\n }\n\n /// Writes an element to the vector at the given index, starting from zero.\n /// \n /// If the given index is equal to or greater than the length of the vector, this will issue a constraint failure.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn foo(v: BoundedVec) {\n /// let first = v.get(0);\n /// assert(first != 42);\n /// v.set(0, 42);\n /// let new_first = v.get(0);\n /// assert(new_first == 42);\n /// }\n /// ```\n pub fn set(&mut self, index: u32, value: T) {\n assert(index < self.len, \"Attempted to write past end of BoundedVec\");\n self.set_unchecked(index, value)\n }\n\n /// Writes an element to the vector at the given index, starting from zero, without performing a bounds check.\n /// \n /// Since this function does not perform a bounds check on length before accessing the element, it is unsafe! Use at your own risk!\n /// \n /// Example:\n /// \n /// ```noir\n /// fn set_unchecked_example() {\n /// let mut vec: BoundedVec = BoundedVec::new();\n /// vec.extend_from_array([1, 2]);\n /// \n /// // Here we're safely writing within the valid range of `vec`\n /// // `vec` now has the value [42, 2]\n /// vec.set_unchecked(0, 42);\n /// \n /// // We can then safely read this value back out of `vec`.\n /// // Notice that we use the checked version of `get` which would prevent reading unsafe values.\n /// assert_eq(vec.get(0), 42);\n /// \n /// // We've now written past the end of `vec`.\n /// // As this index is still within the maximum potential length of `v`,\n /// // it won't cause a constraint failure. \n /// vec.set_unchecked(2, 42);\n /// println(vec);\n /// \n /// // This will write past the end of the maximum potential length of `vec`,\n /// // it will then trigger a constraint failure.\n /// vec.set_unchecked(5, 42);\n /// println(vec);\n /// }\n /// ```\n pub fn set_unchecked(&mut self, index: u32, value: T) {\n self.storage[index] = value;\n }\n\n /// Pushes an element to the end of the vector. This increases the length\n /// of the vector by one.\n /// \n /// Panics if the new length of the vector will be greater than the max length.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// \n /// v.push(1);\n /// v.push(2);\n /// \n /// // Panics with failed assertion \"push out of bounds\"\n /// v.push(3);\n /// ```\n pub fn push(&mut self, elem: T) {\n assert(self.len < MaxLen, \"push out of bounds\");\n\n self.storage[self.len] = elem;\n self.len += 1;\n }\n\n /// Returns the current length of this vector\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// assert(v.len() == 0);\n /// \n /// v.push(100);\n /// assert(v.len() == 1);\n /// \n /// v.push(200);\n /// v.push(300);\n /// v.push(400);\n /// assert(v.len() == 4);\n /// \n /// let _ = v.pop();\n /// let _ = v.pop();\n /// assert(v.len() == 2);\n /// ```\n pub fn len(self) -> u32 {\n self.len\n }\n\n /// Returns the maximum length of this vector. This is always\n /// equal to the `MaxLen` parameter this vector was initialized with.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// \n /// assert(v.max_len() == 5);\n /// v.push(10);\n /// assert(v.max_len() == 5);\n /// ```\n pub fn max_len(_self: BoundedVec) -> u32 {\n MaxLen\n }\n\n /// Returns the internal array within this vector.\n /// \n /// Since arrays in Noir are immutable, mutating the returned storage array will not mutate\n /// the storage held internally by this vector.\n /// \n /// Note that uninitialized elements may be zeroed out!\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// \n /// assert(v.storage() == [0, 0, 0, 0, 0]);\n /// \n /// v.push(57);\n /// assert(v.storage() == [57, 0, 0, 0, 0]);\n /// ```\n pub fn storage(self) -> [T; MaxLen] {\n self.storage\n }\n\n /// Pushes each element from the given array to this vector.\n /// \n /// Panics if pushing each element would cause the length of this vector\n /// to exceed the maximum length.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut vec: BoundedVec = BoundedVec::new();\n /// vec.extend_from_array([2, 4]);\n /// \n /// assert(vec.len == 2);\n /// assert(vec.get(0) == 2);\n /// assert(vec.get(1) == 4);\n /// ```\n pub fn extend_from_array(&mut self, array: [T; Len]) {\n let new_len = self.len + array.len();\n assert(new_len <= MaxLen, \"extend_from_array out of bounds\");\n for i in 0..array.len() {\n self.storage[self.len + i] = array[i];\n }\n self.len = new_len;\n }\n\n /// Pushes each element from the given slice to this vector.\n /// \n /// Panics if pushing each element would cause the length of this vector\n /// to exceed the maximum length.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut vec: BoundedVec = BoundedVec::new();\n /// vec.extend_from_slice(&[2, 4]);\n /// \n /// assert(vec.len == 2);\n /// assert(vec.get(0) == 2);\n /// assert(vec.get(1) == 4);\n /// ```\n pub fn extend_from_slice(&mut self, slice: [T]) {\n let new_len = self.len + slice.len();\n assert(new_len <= MaxLen, \"extend_from_slice out of bounds\");\n for i in 0..slice.len() {\n self.storage[self.len + i] = slice[i];\n }\n self.len = new_len;\n }\n\n /// Pushes each element from the other vector to this vector. The length of\n /// the other vector is left unchanged.\n /// \n /// Panics if pushing each element would cause the length of this vector\n /// to exceed the maximum length.\n /// \n /// ```noir\n /// let mut v1: BoundedVec = BoundedVec::new();\n /// let mut v2: BoundedVec = BoundedVec::new();\n /// \n /// v2.extend_from_array([1, 2, 3]);\n /// v1.extend_from_bounded_vec(v2);\n /// \n /// assert(v1.storage() == [1, 2, 3, 0, 0]);\n /// assert(v2.storage() == [1, 2, 3, 0, 0, 0, 0]);\n /// ```\n pub fn extend_from_bounded_vec(&mut self, vec: BoundedVec) {\n let append_len = vec.len();\n let new_len = self.len + append_len;\n assert(new_len <= MaxLen, \"extend_from_bounded_vec out of bounds\");\n\n let mut exceeded_len = false;\n for i in 0..Len {\n exceeded_len |= i == append_len;\n if !exceeded_len {\n self.storage[self.len + i] = vec.get_unchecked(i);\n }\n }\n self.len = new_len;\n }\n\n /// Creates a new vector, populating it with values derived from an array input. \n /// The maximum length of the vector is determined based on the type signature.\n /// \n /// Example:\n /// \n /// ```noir\n /// let bounded_vec: BoundedVec = BoundedVec::from_array([1, 2, 3])\n /// ```\n pub fn from_array(array: [T; Len]) -> Self {\n assert(Len <= MaxLen, \"from array out of bounds\");\n let mut vec: BoundedVec = BoundedVec::new();\n vec.extend_from_array(array);\n vec\n }\n\n /// Pops the element at the end of the vector. This will decrease the length\n /// of the vector by one.\n /// \n /// Panics if the vector is empty.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// v.push(1);\n /// v.push(2);\n /// \n /// let two = v.pop();\n /// let one = v.pop();\n /// \n /// assert(two == 2);\n /// assert(one == 1);\n ///\n /// // error: cannot pop from an empty vector\n /// let _ = v.pop();\n /// ```\n pub fn pop(&mut self) -> T {\n assert(self.len > 0);\n self.len -= 1;\n\n let elem = self.storage[self.len];\n self.storage[self.len] = crate::mem::zeroed();\n elem\n }\n\n /// Returns true if the given predicate returns true for any element\n /// in this vector.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// v.extend_from_array([2, 4, 6]);\n /// \n /// let all_even = !v.any(|elem: u32| elem % 2 != 0);\n /// assert(all_even);\n /// ```\n pub fn any(self, predicate: fn[Env](T) -> bool) -> bool {\n let mut ret = false;\n let mut exceeded_len = false;\n for i in 0..MaxLen {\n exceeded_len |= i == self.len;\n if !exceeded_len {\n ret |= predicate(self.storage[i]);\n }\n }\n ret\n }\n\n /// Creates a new vector of equal size by calling a closure on each element in this vector. \n /// \n /// Example:\n /// \n /// ```noir\n /// let vec: BoundedVec = BoundedVec::from_array([1, 2, 3, 4]);\n /// let result = vec.map(|value| value * 2);\n /// \n /// let expected = BoundedVec::from_array([2, 4, 6, 8]);\n /// assert_eq(result, expected);\n /// ```\n pub fn map(self, f: fn[Env](T) -> U) -> BoundedVec {\n let mut ret = BoundedVec::new();\n ret.len = self.len();\n for i in 0..MaxLen {\n if i < self.len() {\n ret.storage[i] = f(self.get_unchecked(i));\n }\n }\n ret\n }\n}\n\nimpl Eq for BoundedVec where T: Eq {\n fn eq(self, other: BoundedVec) -> bool {\n // TODO: https://github.com/noir-lang/noir/issues/4837\n //\n // We make the assumption that the user has used the proper interface for working with `BoundedVec`s\n // rather than directly manipulating the internal fields as this can result in an inconsistent internal state.\n\n (self.len == other.len) & (self.storage == other.storage)\n }\n}\n\nimpl From<[T; Len]> for BoundedVec {\n fn from(array: [T; Len]) -> BoundedVec {\n BoundedVec::from_array(array)\n }\n}\n\nmod bounded_vec_tests {\n\n mod get {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test(should_fail_with = \"Attempted to read past end of BoundedVec\")]\n fn panics_when_reading_elements_past_end_of_vec() {\n let vec: BoundedVec = BoundedVec::new();\n\n crate::println(vec.get(0));\n }\n }\n\n mod set {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn set_updates_values_properly() {\n let mut vec = BoundedVec::from_array([0, 0, 0, 0, 0]);\n\n vec.set(0, 42);\n assert_eq(vec.storage, [42, 0, 0, 0, 0]);\n\n vec.set(1, 43);\n assert_eq(vec.storage, [42, 43, 0, 0, 0]);\n\n vec.set(2, 44);\n assert_eq(vec.storage, [42, 43, 44, 0, 0]);\n\n vec.set(1, 10);\n assert_eq(vec.storage, [42, 10, 44, 0, 0]);\n\n vec.set(0, 0);\n assert_eq(vec.storage, [0, 10, 44, 0, 0]);\n }\n\n #[test(should_fail_with = \"Attempted to write past end of BoundedVec\")]\n fn panics_when_writing_elements_past_end_of_vec() {\n let mut vec: BoundedVec = BoundedVec::new();\n vec.set(0, 42);\n\n // Need to use println to avoid DIE removing the write operation.\n crate::println(vec.get(0));\n }\n }\n\n mod map {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn applies_function_correctly() {\n // docs:start:bounded-vec-map-example\n let vec: BoundedVec = BoundedVec::from_array([1, 2, 3, 4]);\n let result = vec.map(|value| value * 2);\n // docs:end:bounded-vec-map-example\n let expected = BoundedVec::from_array([2, 4, 6, 8]);\n\n assert_eq(result, expected);\n }\n\n #[test]\n fn applies_function_that_changes_return_type() {\n let vec: BoundedVec = BoundedVec::from_array([1, 2, 3, 4]);\n let result = vec.map(|value| (value * 2) as Field);\n let expected: BoundedVec = BoundedVec::from_array([2, 4, 6, 8]);\n\n assert_eq(result, expected);\n }\n\n #[test]\n fn does_not_apply_function_past_len() {\n let vec: BoundedVec = BoundedVec::from_array([0, 1]);\n let result = vec.map(|value| if value == 0 { 5 } else { value });\n let expected = BoundedVec::from_array([5, 1]);\n\n assert_eq(result, expected);\n assert_eq(result.storage()[2], 0);\n }\n }\n\n mod from_array {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn empty() {\n let empty_array: [Field; 0] = [];\n let bounded_vec = BoundedVec::from_array([]);\n\n assert_eq(bounded_vec.max_len(), 0);\n assert_eq(bounded_vec.len(), 0);\n assert_eq(bounded_vec.storage(), empty_array);\n }\n\n #[test]\n fn equal_len() {\n let array = [1, 2, 3];\n let bounded_vec = BoundedVec::from_array(array);\n\n assert_eq(bounded_vec.max_len(), 3);\n assert_eq(bounded_vec.len(), 3);\n assert_eq(bounded_vec.storage(), array);\n }\n\n #[test]\n fn max_len_greater_then_array_len() {\n let array = [1, 2, 3];\n let bounded_vec: BoundedVec = BoundedVec::from_array(array);\n\n assert_eq(bounded_vec.max_len(), 10);\n assert_eq(bounded_vec.len(), 3);\n assert_eq(bounded_vec.storage()[0], 1);\n assert_eq(bounded_vec.storage()[1], 2);\n assert_eq(bounded_vec.storage()[2], 3);\n }\n\n #[test(should_fail_with=\"from array out of bounds\")]\n fn max_len_lower_then_array_len() {\n let _: BoundedVec = BoundedVec::from_array([0; 3]);\n }\n }\n\n mod trait_from {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn simple() {\n let array = [1, 2];\n let bounded_vec: BoundedVec = BoundedVec::from(array);\n\n assert_eq(bounded_vec.max_len(), 10);\n assert_eq(bounded_vec.len(), 2);\n assert_eq(bounded_vec.storage()[0], 1);\n assert_eq(bounded_vec.storage()[1], 2);\n }\n }\n\n mod trait_eq {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn empty_equality() {\n let mut bounded_vec1: BoundedVec = BoundedVec::new();\n let mut bounded_vec2: BoundedVec = BoundedVec::new();\n\n assert_eq(bounded_vec1, bounded_vec2);\n }\n\n #[test]\n fn inequality() {\n let mut bounded_vec1: BoundedVec = BoundedVec::new();\n let mut bounded_vec2: BoundedVec = BoundedVec::new();\n bounded_vec1.push(1);\n bounded_vec2.push(2);\n\n assert(bounded_vec1 != bounded_vec2);\n }\n }\n}\n"},"70":{"path":"/Users/kim/dev/aztec-private-counter/contracts/ProfileContract/src/main.nr","source":"// docs:start:easy_private_token_contract\nuse dep::aztec::macros::aztec;\n\n#[aztec]\ncontract Profile {\n // use dep::aztec::prelude::{AztecAddress, Map};\n use dep::aztec::{\n note::utils::compute_note_hash_for_nullify, keys::getters::get_nsk_app, oracle::random::random,\n encrypted_logs::encrypted_note_emission::encode_and_encrypt_note,\n note::constants::MAX_NOTES_PER_PAGE,\n keys::getters::get_public_keys, prelude::{AztecAddress, PrivateSet, SharedImmutable, Map, NullifiableNote, NoteHeader, PrivateContext, NoteViewerOptions},\n protocol_types::{constants::GENERATOR_INDEX__NOTE_NULLIFIER, hash::poseidon2_hash_with_separator, traits::{Empty, Eq}},\n macros::notes::partial_note\n };\n use dep::value_note::balance_utils;\n use dep::easy_private_state::EasyPrivateUint;\n use dep::aztec::macros::{storage::storage, functions::{initializer, private}};\n use dep::value_note::value_note::ValueNote;\n \n #[partial_note(quote { token_id})]\n struct ProfileNFT {\n token_id: Field,\n is_adult: bool,\n npk_m_hash: Field,\n }\n\n impl ProfileNFT {\n pub fn new(token_id: Field, is_adult: bool, npk_m_hash: Field) -> Self {\n ProfileNFT { token_id, is_adult, npk_m_hash, header: NoteHeader::empty() }\n }\n }\n\n impl Eq for ProfileNFT {\n fn eq(self, other: Self) -> bool {\n (self.token_id == other.token_id)\n & (self.npk_m_hash == other.npk_m_hash)\n }\n }\n\n impl NullifiableNote for ProfileNFT {\n fn compute_nullifier(self, context: &mut PrivateContext, note_hash_for_nullify: Field) -> Field {\n let secret = context.request_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n\n unconstrained fn compute_nullifier_without_context(self) -> Field {\n let note_hash_for_nullify = compute_note_hash_for_nullify(self);\n let secret = get_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n}\n\n #[storage]\n struct Storage {\n balances: Map, Context>,\n // is_adult: Map, Context>,\n is_adult: PrivateSet,\n profile_nfts: Map, Context>,\n }\n\n /**\n * initialize the contract's initial state variables.\n */\n #[private]\n #[initializer]\n fn constructor(initial_supply: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n let balances = storage.balances;\n\n balances.at(owner).add(initial_supply, owner, outgoing_viewer);\n }\n\n // Mints `amount` of tokens to `owner`.\n #[private]\n fn mint(amount: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n // TODO: private fn create a ZKP automatically? How to check this?\n let balances = storage.balances;\n // let is_adult = storage.is_adult;\n\n balances.at(owner).add(amount, owner, outgoing_viewer);\n // is_adult.at(owner).add(amount, owner, outgoing_viewer);\n }\n\n #[private]\n fn update_is_adult(amount: u64, owner: AztecAddress, recipient: AztecAddress) { // should I use recipient's Ivpk for encryption?\n let is_adult = storage.is_adult;\n let note_creator = context.msg_sender();\n let note_creator_keys = get_public_keys(note_creator);\n \n // Note creation\n // TODO: how to put recipient address for decryption?\n let mut note = ValueNote::new(amount as Field, note_creator_keys.npk_m.hash());\n\n // Note event emission. Guess this will be used for proving?\n is_adult.insert(&mut note).emit(encode_and_encrypt_note(\n &mut context,\n note_creator_keys.ovpk_m,\n note_creator_keys.ivpk_m, // Ivpk is used to encrypt a note for a recipient and the corresponding secret key (ivsk) is used by the recipient during decryption.\n note_creator,\n ));\n }\n\n #[private]\n fn mintNFT(to: AztecAddress, token_id: Field, is_adult: bool) {\n let profile_nfts = storage.profile_nfts;\n let to_keys = get_public_keys(to);\n let mut nft_note = ProfileNFT::new(token_id, is_adult, to_keys.npk_m.hash());\n // TODO: sending event to the NFT owner after update storage. Is this meaningful? Can it be a proof?\n profile_nfts.at(to).insert(&mut nft_note).emit(encode_and_encrypt_note( \n &mut context, \n to_keys.ovpk_m,\n to_keys.ivpk_m,\n to\n ));\n }\n\n unconstrained fn get_profile_nfts(owner: AztecAddress, page_index: u32) -> [(Field, bool); 10] {\n let offset = page_index * MAX_NOTES_PER_PAGE;\n let mut options = NoteViewerOptions::new();\n let profile_nfts = storage.profile_nfts;\n let notes = profile_nfts.at(owner).view_notes(options.set_offset(offset));\n let mut owned_nft_ids = [(0, false); MAX_NOTES_PER_PAGE];\n // let mut owned_nft_ids = [false; MAX_NOTES_PER_PAGE];\n\n for i in 0..options.limit {\n if i < notes.len() {\n // owned_nft_ids[i] = [notes.get_unchecked(i).token_id, notes.get_unchecked(i).is_adult];\n owned_nft_ids[i] = (notes.get_unchecked(i).token_id, notes.get_unchecked(i).is_adult);\n }\n }\n\n (owned_nft_ids)\n }\n}"},"76":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/lifecycle.nr","source":"use crate::context::{PrivateContext, PublicContext};\nuse crate::note::{\n note_header::NoteHeader, note_interface::{NoteInterface, NullifiableNote},\n utils::{compute_note_hash_for_read_request, compute_note_hash_for_nullify_internal},\n note_emission::NoteEmission\n};\nuse crate::oracle::notes::{notify_created_note, notify_nullified_note};\n\npub fn create_note(\n context: &mut PrivateContext,\n storage_slot: Field,\n note: &mut Note\n) -> NoteEmission where Note: NoteInterface + NullifiableNote {\n let contract_address = (*context).this_address();\n let note_hash_counter = context.side_effect_counter;\n\n let header = NoteHeader { contract_address, storage_slot, nonce: 0, note_hash_counter };\n note.set_header(header);\n let note_hash = note.compute_note_hash();\n\n let serialized_note = Note::serialize_content(*note);\n notify_created_note(\n storage_slot,\n Note::get_note_type_id(),\n serialized_note,\n note_hash,\n note_hash_counter\n );\n\n context.push_note_hash(note_hash);\n\n NoteEmission::new(*note)\n}\n\npub fn create_note_hash_from_public(\n context: &mut PublicContext,\n storage_slot: Field,\n note: &mut Note\n) where Note: NoteInterface + NullifiableNote {\n let contract_address = (*context).this_address();\n // Public note hashes are transient, but have no side effect counters, so we just need note_hash_counter != 0\n let header = NoteHeader { contract_address, storage_slot, nonce: 0, note_hash_counter: 1 };\n note.set_header(header);\n let note_hash = note.compute_note_hash();\n\n context.push_note_hash(note_hash);\n}\n\n// Note: This function is currently totally unused.\npub fn destroy_note(\n context: &mut PrivateContext,\n note: Note\n) where Note: NoteInterface + NullifiableNote {\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n\n destroy_note_unsafe(context, note, note_hash_for_read_request)\n}\n\npub fn destroy_note_unsafe(\n context: &mut PrivateContext,\n note: Note,\n note_hash_for_read_request: Field\n) where Note: NoteInterface + NullifiableNote {\n let note_hash_for_nullify = compute_note_hash_for_nullify_internal(note, note_hash_for_read_request);\n let nullifier = note.compute_nullifier(context, note_hash_for_nullify);\n\n let note_hash_counter = note.get_header().note_hash_counter;\n let notification_note_hash = if (note_hash_counter == 0) {\n // Counter is zero, so we're nullifying a settled note and we don't populate the note_hash with real value.\n 0\n } else {\n // A non-zero note hash counter implies that we're nullifying a pending note (i.e. one that has not yet been\n // persisted in the trees and is instead in the pending new note hashes array). In such a case we populate its\n // hash with real value to inform the kernel which note we're nullifyng so that it can either squash both\n // the note and the nullifier if it's an inner note hash, or check that the it matches a pending note if it's\n // a siloed note hash.\n note_hash_for_nullify\n };\n\n let nullifier_counter = context.side_effect_counter;\n notify_nullified_note(nullifier, notification_note_hash, nullifier_counter);\n\n context.push_nullifier_for_note_hash(nullifier, notification_note_hash)\n}\n"},"77":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/utils.nr","source":"use crate::{\n context::PrivateContext,\n note::{note_header::NoteHeader, note_interface::{NullifiableNote, NoteInterface}}\n};\n\nuse dep::protocol_types::{\n hash::{\n compute_unique_note_hash, compute_siloed_note_hash as compute_siloed_note_hash,\n compute_siloed_nullifier as compute_siloed_nullifier_from_preimage\n},\n utils::arr_copy_slice\n};\n\npub fn compute_siloed_nullifier(\n note_with_header: Note,\n context: &mut PrivateContext\n) -> Field where Note: NoteInterface + NullifiableNote {\n let header = note_with_header.get_header();\n let note_hash_for_nullify = compute_note_hash_for_nullify(note_with_header);\n let inner_nullifier = note_with_header.compute_nullifier(context, note_hash_for_nullify);\n\n compute_siloed_nullifier_from_preimage(header.contract_address, inner_nullifier)\n}\n\n// TODO(#7775): make this not impossible to understand\npub fn compute_note_hash_for_read_request(note: Note) -> Field where Note: NoteInterface + NullifiableNote {\n let note_hash = note.compute_note_hash();\n let nonce = note.get_header().nonce;\n let counter = note.get_header().note_hash_counter;\n\n if counter != 0 {\n note_hash\n } else {\n compute_unique_note_hash(nonce, note_hash)\n }\n}\n\n// TODO(#7775): make this not impossible to understand\npub fn compute_note_hash_for_nullify_internal(\n note: Note,\n note_hash_for_read_request: Field\n) -> Field where Note: NoteInterface + NullifiableNote {\n let header = note.get_header();\n\n if header.note_hash_counter != 0 {\n if header.nonce == 0 {\n // Case 1: Transient note\n note_hash_for_read_request\n } else {\n // Case 2: Non-revertible note, nullified by a revertible nullifier\n let unique_note_hash = compute_unique_note_hash(header.nonce, note_hash_for_read_request);\n compute_siloed_note_hash(header.contract_address, unique_note_hash)\n }\n } else {\n // Case 3: Note from a previous transaction\n // note_hash_for_read_request is already the unique_note_hash in this case\n compute_siloed_note_hash(header.contract_address, note_hash_for_read_request)\n }\n}\n\n// TODO(#7775): nuke this commented out code - kept it around as it contains comments which might be helpful when tackling #7775\n// pub fn compute_note_hash_for_nullify(note: Note) -> Field where Note: NoteInterface {\n// let header = note.get_header();\n// // There are 3 cases for reading a note intended for consumption:\n// // 1. The note was inserted in this transaction, is revertible, or is not nullified by a revertible nullifier in\n// // the same transaction: (note_hash_counter != 0) & (nonce == 0)\n// // 2. The note was inserted in this transaction, is non-revertible, and is nullified by a revertible nullifier in\n// // the same transaction: (note_hash_counter != 0) & (nonce != 0)\n// // 3. The note was inserted in a previous transaction: (note_hash_counter == 0) & (nonce != 0)\n\n// let note_hash = note.compute_note_hiding_point().x;\n\n// if header.nonce == 0 {\n// // Case 1.\n// // If a note is transient, we just read the note_hash (kernel will hash it with nonce and silo by contract address).\n// note_hash\n// } else {\n// // Case 2: If a note is non-revertible, and is nullified by a revertible nullifier, we cannot squash them in the\n// // private reset circuit. Because if the tx reverts, we will have to keep the note hash and throw away the\n// // nullifier.\n// // And if the tx does not revert, both will be emitted. In which case, the nullifier must be created in the app\n// // from the siloed note hash.\n// // The kernel circuit will check that a nullifier with non-zero note_nonce is linked to a note hash, whose\n// // siloed note hash matches the note hash specified in the nullifier.\n\n// // Case 3: If a note is not from the current transaction, that means we are reading a settled note (from\n// // tree) created in a previous TX. So we need the siloed_note_hash which has already been hashed with\n// // nonce and then contract address. This hash will match the existing leaf in the note hash\n// // tree, so the kernel can just perform a membership check directly on this hash/leaf.\n// let unique_note_hash = compute_unique_note_hash(header.nonce, note_hash);\n// compute_siloed_note_hash(header.contract_address, unique_note_hash)\n// // IMPORTANT NOTE ON REDUNDANT SILOING BY CONTRACT ADDRESS: The note hash computed above is\n// // \"siloed\" by contract address. When a note hash is computed solely for the purpose of\n// // nullification, it is not strictly necessary to silo the note hash before computing\n// // its nullifier. In other words, it is NOT NECESSARY for protocol security that a nullifier\n// // be computed from a siloed note hash. After all, persistable note hashes and nullifiers are\n// // siloed by the kernel circuit. That being said, the siloed note hash computed above CAN be\n// // used for nullifier computation, and this achieves the (arguably unnecessary) property that\n// // nullifiers are computed from a note hash's fully-computed note hash tree leaf.\n// }\n// }\n\npub fn compute_note_hash_for_nullify(note: Note) -> Field where Note: NoteInterface + NullifiableNote {\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n compute_note_hash_for_nullify_internal(note, note_hash_for_read_request)\n}\n\nunconstrained pub fn compute_note_hash_and_optionally_a_nullifier(\n deserialize_content: fn([Field; N]) -> T,\n note_header: NoteHeader,\n compute_nullifier: bool,\n serialized_note: [Field; S]\n) -> [Field; 4] where T: NoteInterface + NullifiableNote {\n let mut note = deserialize_content(arr_copy_slice(serialized_note, [0; N], 0));\n note.set_header(note_header);\n\n let note_hash = note.compute_note_hash();\n let unique_note_hash = compute_unique_note_hash(note_header.nonce, note_hash);\n let siloed_note_hash = compute_siloed_note_hash(note_header.contract_address, unique_note_hash);\n\n let inner_nullifier = if compute_nullifier {\n note.compute_nullifier_without_context()\n } else {\n 0\n };\n // docs:start:compute_note_hash_and_optionally_a_nullifier_returns\n [note_hash, unique_note_hash, siloed_note_hash, inner_nullifier]\n // docs:end:compute_note_hash_and_optionally_a_nullifier_returns\n}\n"},"79":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/note_getter/mod.nr","source":"use dep::protocol_types::{constants::{MAX_NOTE_HASH_READ_REQUESTS_PER_CALL, GET_NOTES_ORACLE_RETURN_LENGTH}};\nuse crate::context::PrivateContext;\nuse crate::note::{\n constants::{GET_NOTE_ORACLE_RETURN_LENGTH, VIEW_NOTE_ORACLE_RETURN_LENGTH},\n note_getter_options::{NoteGetterOptions, Select, Sort, SortOrder, NoteStatus, PropertySelector},\n note_interface::{NoteInterface, NullifiableNote}, note_viewer_options::NoteViewerOptions,\n utils::compute_note_hash_for_read_request\n};\nuse crate::oracle;\nuse crate::utils::comparison::compare;\n\npub use crate::note::constants::MAX_NOTES_PER_PAGE;\n\nmod test;\n\nfn extract_property_value_from_selector(\n serialized_note: [Field; N],\n selector: PropertySelector\n) -> Field {\n // Selectors use PropertySelectors in order to locate note properties inside the serialized note.\n // This allows easier packing and custom (de)serialization schemas. A note property is located\n // inside the serialized note using the index inside the array, a byte offset and a length.\n let value: [u8; 32] = serialized_note[selector.index].to_be_bytes();\n let offset = selector.offset;\n let length = selector.length;\n let mut value_field = 0 as Field;\n let mut acc: Field = 1;\n for i in 0..32 {\n if i < length {\n value_field += value[31 + offset - i] as Field * acc;\n acc = acc * 256;\n }\n }\n value_field\n}\n\nfn check_note_header(\n context: PrivateContext,\n storage_slot: Field,\n note: Note\n) where Note: NoteInterface {\n let header = note.get_header();\n let contract_address = context.this_address();\n assert(header.contract_address.eq(contract_address), \"Mismatch note header contract address.\");\n assert(header.storage_slot == storage_slot, \"Mismatch note header storage slot.\");\n}\n\nfn check_note_fields(\n serialized_note: [Field; N],\n selects: BoundedVec, N>\n) {\n for i in 0..selects.len {\n let select = selects.get_unchecked(i).unwrap_unchecked();\n let value_field = extract_property_value_from_selector(serialized_note, select.property_selector);\n\n assert(\n compare(value_field, select.comparator, select.value.to_field()), \"Mismatch return note field.\"\n );\n }\n}\n\nfn check_notes_order(\n fields_0: [Field; N],\n fields_1: [Field; N],\n sorts: BoundedVec, N>\n) {\n for i in 0..sorts.len {\n let sort = sorts.get_unchecked(i).unwrap_unchecked();\n let field_0 = extract_property_value_from_selector(fields_0, sort.property_selector);\n let field_1 = extract_property_value_from_selector(fields_1, sort.property_selector);\n let eq = field_0 == field_1;\n let lt = field_0.lt(field_1);\n if sort.order == SortOrder.ASC {\n assert(eq | lt, \"Return notes not sorted in ascending order.\");\n } else if !eq {\n assert(!lt, \"Return notes not sorted in descending order.\");\n }\n }\n}\n\npub fn get_note(\n context: &mut PrivateContext,\n storage_slot: Field\n) -> (Note, Field) where Note: NoteInterface + NullifiableNote {\n let note = unsafe {\n get_note_internal(storage_slot)\n };\n\n // Constraining that we got a valid note from the oracle is fairly straightforward: all we need to do is check that\n // the metadata is correct, and that the note exists.\n check_note_header(*context, storage_slot, note);\n\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n context.push_note_hash_read_request(note_hash_for_read_request);\n\n (note, note_hash_for_read_request)\n}\n\npub fn get_notes(\n context: &mut PrivateContext,\n storage_slot: Field,\n options: NoteGetterOptions\n) -> (BoundedVec, BoundedVec) where Note: NoteInterface + NullifiableNote + Eq {\n let opt_notes = unsafe {\n get_notes_internal(storage_slot, options)\n };\n\n // We apply the constraints in a separate function instead of inlining them here to make it easier to test that\n // these checks correctly reject bad notes.\n constrain_get_notes_internal(context, storage_slot, opt_notes, options)\n}\n\nunconstrained fn apply_preprocessor(\n notes: [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL],\n preprocessor: fn([Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL], PREPROCESSOR_ARGS) -> [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL],\n preprocessor_args: PREPROCESSOR_ARGS\n) -> [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL] {\n preprocessor(notes, preprocessor_args)\n}\n\nfn constrain_get_notes_internal(\n context: &mut PrivateContext,\n storage_slot: Field,\n opt_notes: [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL],\n options: NoteGetterOptions\n) -> (BoundedVec, BoundedVec) where Note: NoteInterface + NullifiableNote + Eq {\n // The filter is applied first to avoid pushing note read requests for notes we're not interested in. Note that\n // while the filter function can technically mutate the contents of the notes (as opposed to simply removing some),\n // the private kernel will later validate that these note actually exist, so transformations would cause for that\n // check to fail.\n let filter_fn = options.filter;\n let filter_args = options.filter_args;\n let filtered_notes = filter_fn(opt_notes, filter_args);\n\n let notes = crate::utils::collapse_array(filtered_notes);\n let mut note_hashes: BoundedVec = BoundedVec::new();\n\n // We have now collapsed the sparse array of Options into a BoundedVec. This is a more ergonomic type and also\n // results in reduced gate counts when setting a limit value, since we guarantee that the limit is an upper bound\n // for the runtime length, and can therefore have fewer loop iterations.\n assert(notes.len() <= options.limit, \"Got more notes than limit.\");\n\n let mut prev_fields = [0; N];\n for i in 0..options.limit {\n if i < notes.len() {\n let note = notes.get_unchecked(i);\n let fields = note.serialize_content();\n check_note_header(*context, storage_slot, note);\n check_note_fields(fields, options.selects);\n if i != 0 {\n check_notes_order(prev_fields, fields, options.sorts);\n }\n prev_fields = fields;\n\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n // TODO(https://github.com/AztecProtocol/aztec-packages/issues/1410): test to ensure\n // failure if malicious oracle injects 0 nonce here for a \"pre-existing\" note.\n context.push_note_hash_read_request(note_hash_for_read_request);\n note_hashes.push(note_hash_for_read_request);\n };\n }\n\n (notes, note_hashes)\n}\n\nunconstrained fn get_note_internal(storage_slot: Field) -> Note where Note: NoteInterface {\n let placeholder_note = [Option::none()];\n let placeholder_fields = [0; GET_NOTE_ORACLE_RETURN_LENGTH];\n let placeholder_note_length = [0; N];\n oracle::notes::get_notes(\n storage_slot,\n 0,\n [],\n [],\n [],\n [],\n [],\n [],\n [],\n [],\n [],\n 1, // limit\n 0, // offset\n NoteStatus.ACTIVE,\n placeholder_note,\n placeholder_fields,\n placeholder_note_length\n )[0].expect(f\"Failed to get a note\") // Notice: we don't allow dummies to be returned from get_note (singular).\n}\n\nunconstrained fn get_notes_internal(\n storage_slot: Field,\n options: NoteGetterOptions\n) -> [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL] where Note: NoteInterface {\n // This function simply performs some transformations from NoteGetterOptions into the types required by the oracle.\n\n let (num_selects, select_by_indexes, select_by_offsets, select_by_lengths, select_values, select_comparators, sort_by_indexes, sort_by_offsets, sort_by_lengths, sort_order) = flatten_options(options.selects, options.sorts);\n let placeholder_opt_notes = [Option::none(); MAX_NOTE_HASH_READ_REQUESTS_PER_CALL];\n let placeholder_fields = [0; GET_NOTES_ORACLE_RETURN_LENGTH];\n let placeholder_note_length = [0; N];\n\n let opt_notes = oracle::notes::get_notes(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n options.limit,\n options.offset,\n options.status,\n placeholder_opt_notes,\n placeholder_fields,\n placeholder_note_length\n );\n\n apply_preprocessor(opt_notes, options.preprocessor, options.preprocessor_args)\n}\n\nunconstrained pub fn view_notes(\n storage_slot: Field,\n options: NoteViewerOptions\n) -> BoundedVec where Note: NoteInterface {\n let (num_selects, select_by_indexes, select_by_offsets, select_by_lengths, select_values, select_comparators, sort_by_indexes, sort_by_offsets, sort_by_lengths, sort_order) = flatten_options(options.selects, options.sorts);\n let placeholder_opt_notes = [Option::none(); MAX_NOTES_PER_PAGE];\n let placeholder_fields = [0; VIEW_NOTE_ORACLE_RETURN_LENGTH];\n let placeholder_note_length = [0; N];\n\n let notes_array = oracle::notes::get_notes(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n options.limit,\n options.offset,\n options.status,\n placeholder_opt_notes,\n placeholder_fields,\n placeholder_note_length\n );\n\n let mut notes = BoundedVec::new();\n for i in 0..notes_array.len() {\n if notes_array[i].is_some() {\n notes.push(notes_array[i].unwrap_unchecked());\n }\n }\n\n notes\n}\n\nunconstrained fn flatten_options(\n selects: BoundedVec, N>,\n sorts: BoundedVec, N>\n) -> (u8, [u8; N], [u8; N], [u8; N], [Field; N], [u8; N], [u8; N], [u8; N], [u8; N], [u8; N]) {\n let mut num_selects = 0;\n let mut select_by_indexes = [0; N];\n let mut select_by_offsets = [0; N];\n let mut select_by_lengths = [0; N];\n let mut select_values = [0; N];\n let mut select_comparators = [0; N];\n\n for i in 0..selects.len {\n let select = selects.get(i);\n if select.is_some() {\n select_by_indexes[num_selects] = select.unwrap_unchecked().property_selector.index;\n select_by_offsets[num_selects] = select.unwrap_unchecked().property_selector.offset;\n select_by_lengths[num_selects] = select.unwrap_unchecked().property_selector.length;\n select_values[num_selects] = select.unwrap_unchecked().value;\n select_comparators[num_selects] = select.unwrap_unchecked().comparator;\n num_selects += 1;\n };\n }\n\n let mut sort_by_indexes = [0; N];\n let mut sort_by_offsets = [0; N];\n let mut sort_by_lengths = [0; N];\n let mut sort_order = [0; N];\n for i in 0..sorts.len {\n let sort = sorts.get(i);\n if sort.is_some() {\n sort_by_indexes[i] = sort.unwrap_unchecked().property_selector.index;\n sort_by_offsets[i] = sort.unwrap_unchecked().property_selector.offset;\n sort_by_lengths[i] = sort.unwrap_unchecked().property_selector.length;\n sort_order[i] = sort.unwrap_unchecked().order;\n };\n }\n\n (\n num_selects, select_by_indexes, select_by_offsets, select_by_lengths, select_values, select_comparators, sort_by_indexes, sort_by_offsets, sort_by_lengths, sort_order\n )\n}\n"},"82":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/note_emission.nr","source":"/**\n * A note emission struct containing the information required for emitting a note.\n * The exact `emit` logic is passed in by the application code\n */\npub struct NoteEmission {\n note: Note\n}\n\nimpl NoteEmission {\n pub fn new(note: Note) -> Self {\n Self { note }\n }\n\n pub fn emit(self, _emit: fn[Env](Self) -> ()) {\n _emit(self);\n }\n\n pub fn discard(_self: Self) {}\n}\n\n/**\n * A struct wrapping note emission in `Option`.\n * This is the struct provided to application codes, which can be used to emit\n * only when a note was actually inserted.\n * It is fairly common to have cases where a function conditionally inserts,\n * and this allows us to keep the same API for emission in both cases (e.g. inserting\n * a change note in a token's transfer function only when there is \"change\" left).\n */\npub struct OuterNoteEmission {\n emission: Option>,\n}\n\nimpl OuterNoteEmission {\n pub fn new(emission: Option>) -> Self {\n Self { emission }\n }\n\n pub fn emit(self, _emit: fn[Env](NoteEmission) -> ()) {\n if self.emission.is_some() {\n _emit(self.emission.unwrap());\n }\n }\n\n pub fn discard(_self: Self) {}\n}\n"},"83":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/note_viewer_options.nr","source":"use std::option::Option;\nuse crate::note::note_getter_options::{PropertySelector, Select, Sort, NoteStatus};\nuse dep::protocol_types::traits::ToField;\nuse crate::note::note_interface::NoteInterface;\nuse crate::note::constants::MAX_NOTES_PER_PAGE;\n\n// docs:start:NoteViewerOptions\npub struct NoteViewerOptions {\n selects: BoundedVec, N>,\n sorts: BoundedVec, N>,\n limit: u32,\n offset: u32,\n status: u8,\n}\n// docs:end:NoteViewerOptions\n\nimpl NoteViewerOptions {\n pub fn new() -> NoteViewerOptions where Note: NoteInterface {\n NoteViewerOptions {\n selects: BoundedVec::new(),\n sorts: BoundedVec::new(),\n limit: MAX_NOTES_PER_PAGE as u32,\n offset: 0,\n status: NoteStatus.ACTIVE\n }\n }\n\n // This method adds a `Select` criterion to the options.\n // It takes a field_index indicating which field to select,\n // a value representing the specific value to match in that field, and\n // a comparator (For possible values of comparators, please see the Comparator enum from note_getter_options)\n pub fn select(\n &mut self,\n property_selector: PropertySelector,\n comparator: u8,\n value: T\n ) -> Self where T: ToField {\n self.selects.push(Option::some(Select::new(property_selector, comparator, value.to_field())));\n *self\n }\n\n pub fn sort(&mut self, property_selector: PropertySelector, order: u8) -> Self {\n self.sorts.push(Option::some(Sort::new(property_selector, order)));\n *self\n }\n\n pub fn set_limit(&mut self, limit: u32) -> Self {\n assert(limit <= MAX_NOTES_PER_PAGE as u32);\n // By requesting that the limit is a constant, we guarantee that it will be possible to loop over it, reducing\n // gate counts when a limit has been set. This isn't required in unconstrained code, but we still keep this\n // requirement here for API consistency.\n assert_constant(limit);\n self.limit = limit;\n *self\n }\n\n pub fn set_offset(&mut self, offset: u32) -> Self {\n self.offset = offset;\n *self\n }\n\n // This method sets the status value, which determines whether to retrieve active or nullified notes.\n pub fn set_status(&mut self, status: u8) -> Self {\n self.status = status;\n *self\n }\n}\n"},"91":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/context/unconstrained_context.nr","source":"use dep::protocol_types::{address::AztecAddress, traits::Deserialize};\nuse crate::oracle::{execution::{get_chain_id, get_version, get_contract_address, get_block_number}, storage::storage_read};\n\npub struct UnconstrainedContext {\n block_number: u32,\n contract_address: AztecAddress,\n version: Field,\n chain_id: Field,\n}\n\nimpl UnconstrainedContext {\n unconstrained fn new() -> Self {\n // We could call these oracles on the getters instead of at creation, which makes sense given that they might\n // not even be accessed. However any performance gains are minimal, and we'd rather fail early if a user\n // incorrectly attempts to create an UnconstrainedContext in an environment in which these oracles are not\n // available.\n let block_number = get_block_number();\n let contract_address = get_contract_address();\n let chain_id = get_chain_id();\n let version = get_version();\n Self { block_number, contract_address, version, chain_id }\n }\n\n unconstrained fn at(contract_address: AztecAddress) -> Self {\n let block_number = get_block_number();\n let chain_id = get_chain_id();\n let version = get_version();\n Self { block_number, contract_address, version, chain_id }\n }\n\n unconstrained fn at_historical(contract_address: AztecAddress, block_number: u32) -> Self {\n let chain_id = get_chain_id();\n let version = get_version();\n Self { block_number, contract_address, version, chain_id }\n }\n\n fn block_number(self) -> u32 {\n self.block_number\n }\n\n fn this_address(self) -> AztecAddress {\n self.contract_address\n }\n\n fn version(self) -> Field {\n self.version\n }\n\n fn chain_id(self) -> Field {\n self.chain_id\n }\n\n unconstrained fn raw_storage_read(self: Self, storage_slot: Field) -> [Field; N] {\n storage_read(self.this_address(), storage_slot, self.block_number())\n }\n\n unconstrained fn storage_read(\n self,\n storage_slot: Field\n ) -> T where T: Deserialize {\n T::deserialize(self.raw_storage_read(storage_slot))\n }\n}\n"},"93":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/context/private_context.nr","source":"use crate::{\n context::{inputs::PrivateContextInputs, packed_returns::PackedReturns},\n messaging::process_l1_to_l2_message, hash::{hash_args_array, ArgsHasher},\n keys::constants::{NULLIFIER_INDEX, OUTGOING_INDEX, NUM_KEY_TYPES, sk_generators},\n oracle::{\n key_validation_request::get_key_validation_request, arguments, returns::pack_returns,\n call_private_function::call_private_function_internal, header::get_header_at,\n logs::{emit_encrypted_note_log, emit_encrypted_event_log},\n enqueue_public_function_call::{\n enqueue_public_function_call_internal, notify_set_min_revertible_side_effect_counter,\n set_public_teardown_function_call_internal\n}\n}\n};\nuse dep::protocol_types::{\n abis::{\n call_context::CallContext, function_selector::FunctionSelector, max_block_number::MaxBlockNumber,\n validation_requests::{KeyValidationRequest, KeyValidationRequestAndGenerator},\n private_call_request::PrivateCallRequest, private_circuit_public_inputs::PrivateCircuitPublicInputs,\n public_call_request::PublicCallRequest, read_request::ReadRequest, note_hash::NoteHash,\n nullifier::Nullifier, log_hash::{LogHash, NoteLogHash, EncryptedLogHash}\n},\n address::{AztecAddress, EthAddress},\n constants::{\n MAX_NOTE_HASHES_PER_CALL, MAX_L2_TO_L1_MSGS_PER_CALL, MAX_NULLIFIERS_PER_CALL,\n MAX_PRIVATE_CALL_STACK_LENGTH_PER_CALL, MAX_PUBLIC_CALL_STACK_LENGTH_PER_CALL,\n MAX_NOTE_HASH_READ_REQUESTS_PER_CALL, MAX_NULLIFIER_READ_REQUESTS_PER_CALL,\n MAX_KEY_VALIDATION_REQUESTS_PER_CALL, MAX_ENCRYPTED_LOGS_PER_CALL, MAX_UNENCRYPTED_LOGS_PER_CALL,\n MAX_NOTE_ENCRYPTED_LOGS_PER_CALL, PUBLIC_DISPATCH_SELECTOR\n},\n header::Header, messaging::l2_to_l1_message::L2ToL1Message, traits::Empty\n};\n\n// When finished, one can call .finish() to convert back to the abi\npub struct PrivateContext {\n // docs:start:private-context\n inputs: PrivateContextInputs,\n side_effect_counter: u32,\n\n min_revertible_side_effect_counter: u32,\n is_fee_payer: bool,\n\n args_hash: Field,\n return_hash: Field,\n\n max_block_number: MaxBlockNumber,\n\n note_hash_read_requests: BoundedVec,\n nullifier_read_requests: BoundedVec,\n key_validation_requests_and_generators: BoundedVec,\n\n note_hashes: BoundedVec,\n nullifiers: BoundedVec,\n\n private_call_requests : BoundedVec,\n public_call_requests : BoundedVec,\n public_teardown_call_request: PublicCallRequest,\n l2_to_l1_msgs : BoundedVec,\n // docs:end:private-context\n\n // Header of a block whose state is used during private execution (not the block the transaction is included in).\n historical_header: Header,\n\n note_encrypted_logs_hashes: BoundedVec,\n encrypted_logs_hashes: BoundedVec,\n unencrypted_logs_hashes: BoundedVec,\n\n // Contains the last key validation request for each key type. This is used to cache the last request and avoid\n // fetching the same request multiple times.\n // The index of the array corresponds to the key type (0 nullifier, 1 incoming, 2 outgoing, 3 tagging).\n last_key_validation_requests: [Option; NUM_KEY_TYPES],\n}\n\nimpl PrivateContext {\n pub fn new(inputs: PrivateContextInputs, args_hash: Field) -> PrivateContext {\n PrivateContext {\n inputs,\n side_effect_counter: inputs.start_side_effect_counter + 1,\n min_revertible_side_effect_counter: 0,\n is_fee_payer: false,\n args_hash,\n return_hash: 0,\n max_block_number: MaxBlockNumber::empty(),\n note_hash_read_requests: BoundedVec::new(),\n nullifier_read_requests: BoundedVec::new(),\n key_validation_requests_and_generators: BoundedVec::new(),\n note_hashes: BoundedVec::new(),\n nullifiers: BoundedVec::new(),\n historical_header: inputs.historical_header,\n private_call_requests: BoundedVec::new(),\n public_call_requests: BoundedVec::new(),\n public_teardown_call_request: PublicCallRequest::empty(),\n l2_to_l1_msgs: BoundedVec::new(),\n note_encrypted_logs_hashes: BoundedVec::new(),\n encrypted_logs_hashes: BoundedVec::new(),\n unencrypted_logs_hashes: BoundedVec::new(),\n last_key_validation_requests: [Option::none(); NUM_KEY_TYPES]\n }\n }\n\n fn msg_sender(self) -> AztecAddress {\n self.inputs.call_context.msg_sender\n }\n\n fn this_address(self) -> AztecAddress {\n self.inputs.call_context.storage_contract_address\n }\n\n fn chain_id(self) -> Field {\n self.inputs.tx_context.chain_id\n }\n\n fn version(self) -> Field {\n self.inputs.tx_context.version\n }\n\n fn selector(self) -> FunctionSelector {\n self.inputs.call_context.function_selector\n }\n\n fn get_args_hash(self) -> Field {\n self.args_hash\n }\n\n fn push_note_hash(&mut self, note_hash: Field) {\n self.note_hashes.push(NoteHash { value: note_hash, counter: self.next_counter() });\n }\n\n fn push_nullifier(&mut self, nullifier: Field) {\n self.nullifiers.push(Nullifier { value: nullifier, note_hash: 0, counter: self.next_counter() });\n }\n\n fn push_nullifier_for_note_hash(&mut self, nullifier: Field, nullified_note_hash: Field) {\n self.nullifiers.push(Nullifier { value: nullifier, note_hash: nullified_note_hash, counter: self.next_counter() });\n }\n\n // Returns the header of a block whose state is used during private execution (not the block the transaction is\n // included in).\n fn get_header(self) -> Header {\n self.historical_header\n }\n\n // Returns the header of an arbitrary block whose block number is less than or equal to the block number\n // of historical header.\n pub fn get_header_at(self, block_number: u32) -> Header {\n get_header_at(block_number, self)\n }\n\n pub fn set_return_hash(&mut self, returns_hasher: ArgsHasher) {\n pack_returns(returns_hasher.fields);\n self.return_hash = returns_hasher.hash();\n }\n\n pub fn finish(self) -> PrivateCircuitPublicInputs {\n PrivateCircuitPublicInputs {\n call_context: self.inputs.call_context,\n args_hash: self.args_hash,\n returns_hash: self.return_hash,\n min_revertible_side_effect_counter: self.min_revertible_side_effect_counter,\n is_fee_payer: self.is_fee_payer,\n max_block_number: self.max_block_number,\n note_hash_read_requests: self.note_hash_read_requests.storage,\n nullifier_read_requests: self.nullifier_read_requests.storage,\n key_validation_requests_and_generators: self.key_validation_requests_and_generators.storage,\n note_hashes: self.note_hashes.storage,\n nullifiers: self.nullifiers.storage,\n private_call_requests: self.private_call_requests.storage,\n public_call_requests: self.public_call_requests.storage,\n public_teardown_call_request: self.public_teardown_call_request,\n l2_to_l1_msgs: self.l2_to_l1_msgs.storage,\n start_side_effect_counter: self.inputs.start_side_effect_counter,\n end_side_effect_counter: self.side_effect_counter,\n note_encrypted_logs_hashes: self.note_encrypted_logs_hashes.storage,\n encrypted_logs_hashes: self.encrypted_logs_hashes.storage,\n unencrypted_logs_hashes: self.unencrypted_logs_hashes.storage,\n historical_header: self.historical_header,\n tx_context: self.inputs.tx_context\n }\n }\n\n pub fn set_as_fee_payer(&mut self) {\n dep::protocol_types::debug_log::debug_log_format(\"Setting {0} as fee payer\", [self.this_address().to_field()]);\n self.is_fee_payer = true;\n }\n\n pub fn end_setup(&mut self) {\n // dep::protocol_types::debug_log::debug_log_format(\n // \"Ending setup at counter {0}\",\n // [self.side_effect_counter as Field]\n // );\n self.min_revertible_side_effect_counter = self.side_effect_counter;\n notify_set_min_revertible_side_effect_counter(self.min_revertible_side_effect_counter);\n }\n\n // docs:start:max-block-number\n pub fn set_tx_max_block_number(&mut self, max_block_number: u32) {\n // docs:end:max-block-number\n self.max_block_number = MaxBlockNumber::min_with_u32(self.max_block_number, max_block_number);\n }\n\n pub fn push_note_hash_read_request(&mut self, note_hash: Field) {\n let side_effect = ReadRequest { value: note_hash, counter: self.next_counter() };\n self.note_hash_read_requests.push(side_effect);\n }\n\n pub fn push_nullifier_read_request(&mut self, nullifier: Field) {\n let request = ReadRequest { value: nullifier, counter: self.next_counter() };\n self.nullifier_read_requests.push(request);\n }\n\n pub fn request_nsk_app(&mut self, npk_m_hash: Field) -> Field {\n self.request_sk_app(npk_m_hash, NULLIFIER_INDEX)\n }\n\n pub fn request_ovsk_app(&mut self, ovpk_m_hash: Field) -> Field {\n self.request_sk_app(ovpk_m_hash, OUTGOING_INDEX)\n }\n\n fn request_sk_app(&mut self, pk_m_hash: Field, key_index: Field) -> Field {\n let cached_request = self.last_key_validation_requests[key_index].unwrap_or(KeyValidationRequest::empty());\n\n if cached_request.pk_m.hash() == pk_m_hash {\n // We get a match so the cached request is the latest one\n cached_request.sk_app\n } else {\n // We didn't get a match meaning the cached result is stale. We fetch new values from oracle and instruct\n // protocol circuits to validate them by storing the validation request in context.\n let request = get_key_validation_request(pk_m_hash, key_index);\n let request_and_generator = KeyValidationRequestAndGenerator { request, sk_app_generator: sk_generators[key_index] };\n // We constrain that the pk_m_hash matches the one in the request (otherwise we could get an arbitrary\n // valid key request and not the one corresponding to pk_m_hash).\n assert(request.pk_m.hash() == pk_m_hash);\n self.key_validation_requests_and_generators.push(request_and_generator);\n self.last_key_validation_requests[key_index] = Option::some(request);\n request.sk_app\n }\n }\n\n // docs:start:context_message_portal\n pub fn message_portal(&mut self, recipient: EthAddress, content: Field) {\n // docs:end:context_message_portal\n let message = L2ToL1Message { recipient, content, counter: self.next_counter() };\n self.l2_to_l1_msgs.push(message);\n }\n\n // docs:start:context_consume_l1_to_l2_message\n // docs:start:consume_l1_to_l2_message\n pub fn consume_l1_to_l2_message(&mut self, content: Field, secret: Field, sender: EthAddress) {\n // docs:end:context_consume_l1_to_l2_message\n let nullifier = process_l1_to_l2_message(\n self.historical_header.state.l1_to_l2_message_tree.root,\n self.this_address(),\n sender,\n self.chain_id(),\n self.version(),\n content,\n secret\n );\n\n // Push nullifier (and the \"commitment\" corresponding to this can be \"empty\")\n self.push_nullifier(nullifier)\n }\n // docs:end:consume_l1_to_l2_message\n\n // NB: A randomness value of 0 signals that the kernels should not mask the contract address\n // used in siloing later on e.g. 'handshaking' contract w/ known address.\n pub fn emit_raw_event_log_with_masked_address(\n &mut self,\n randomness: Field,\n log: [u8; M],\n log_hash: Field\n ) {\n let counter = self.next_counter();\n let contract_address = self.this_address();\n let len = log.len() as Field + 4;\n let side_effect = EncryptedLogHash { value: log_hash, counter, length: len, randomness };\n self.encrypted_logs_hashes.push(side_effect);\n\n emit_encrypted_event_log(contract_address, randomness, log, counter);\n }\n\n pub fn emit_raw_note_log(&mut self, note_hash_counter: u32, log: [u8; M], log_hash: Field) {\n let counter = self.next_counter();\n let len = log.len() as Field + 4;\n let side_effect = NoteLogHash { value: log_hash, counter, length: len, note_hash_counter };\n self.note_encrypted_logs_hashes.push(side_effect);\n\n emit_encrypted_note_log(note_hash_counter, log, counter);\n }\n\n pub fn call_private_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) -> PackedReturns {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_private_function_with_packed_args(contract_address, function_selector, args_hash, false, false)\n }\n\n pub fn static_call_private_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) -> PackedReturns {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_private_function_with_packed_args(contract_address, function_selector, args_hash, true, false)\n }\n\n pub fn delegate_call_private_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) -> PackedReturns {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_private_function_with_packed_args(contract_address, function_selector, args_hash, false, true)\n }\n\n pub fn call_private_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) -> PackedReturns {\n self.call_private_function_with_packed_args(contract_address, function_selector, 0, false, false)\n }\n\n pub fn static_call_private_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) -> PackedReturns {\n self.call_private_function_with_packed_args(contract_address, function_selector, 0, true, false)\n }\n\n pub fn delegate_call_private_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) -> PackedReturns {\n self.call_private_function_with_packed_args(contract_address, function_selector, 0, false, true)\n }\n\n pub fn call_private_function_with_packed_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args_hash: Field,\n is_static_call: bool,\n is_delegate_call: bool\n ) -> PackedReturns {\n let mut is_static_call = is_static_call | self.inputs.call_context.is_static_call;\n let start_side_effect_counter = self.side_effect_counter;\n let (end_side_effect_counter, returns_hash) = call_private_function_internal(\n contract_address,\n function_selector,\n args_hash,\n start_side_effect_counter,\n is_static_call,\n is_delegate_call\n );\n\n self.side_effect_counter = end_side_effect_counter + 1;\n\n // TODO (fees) figure out why this crashes the prover and enable it\n // we need this in order to pay fees inside child call contexts\n // assert(\n // (item.public_inputs.min_revertible_side_effect_counter == 0 as u32)\n // | (item.public_inputs.min_revertible_side_effect_counter\n // > self.min_revertible_side_effect_counter)\n // );\n\n // if item.public_inputs.min_revertible_side_effect_counter\n // > self.min_revertible_side_effect_counter {\n // self.min_revertible_side_effect_counter = item.public_inputs.min_revertible_side_effect_counter;\n // }\n\n let call_context = self.generate_call_context(\n contract_address,\n function_selector,\n is_static_call,\n is_delegate_call\n );\n\n self.private_call_requests.push(\n PrivateCallRequest {\n contract_address,\n call_context,\n args_hash,\n returns_hash,\n start_side_effect_counter,\n end_side_effect_counter\n }\n );\n\n PackedReturns::new(returns_hash)\n }\n\n pub fn call_public_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_public_function_with_packed_args(contract_address, function_selector, args_hash, false, false)\n }\n\n pub fn static_call_public_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_public_function_with_packed_args(contract_address, function_selector, args_hash, true, false)\n }\n\n pub fn delegate_call_public_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_public_function_with_packed_args(contract_address, function_selector, args_hash, false, true)\n }\n\n pub fn call_public_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) {\n self.call_public_function_with_packed_args(contract_address, function_selector, 0, false, false)\n }\n\n pub fn static_call_public_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) {\n self.call_public_function_with_packed_args(contract_address, function_selector, 0, true, false)\n }\n\n pub fn delegate_call_public_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) {\n self.call_public_function_with_packed_args(contract_address, function_selector, 0, false, true)\n }\n\n pub fn call_public_function_with_packed_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args_hash: Field,\n is_static_call: bool,\n is_delegate_call: bool\n ) {\n let counter = self.next_counter();\n\n let mut is_static_call = is_static_call | self.inputs.call_context.is_static_call;\n // TODO(https://github.com/AztecProtocol/aztec-packages/issues/8985): Fix this.\n // WARNING: This is insecure and should be temporary!\n // The oracle repacks the arguments and returns a new args_hash.\n // new_args = [selector, ...old_args], so as to make it suitable to call the public dispatch function.\n // We don't validate or compute it in the circuit because a) it's harder to do with slices, and\n // b) this is only temporary.\n let args_hash = enqueue_public_function_call_internal(\n contract_address,\n function_selector,\n args_hash,\n counter,\n is_static_call,\n is_delegate_call\n );\n\n // Public calls are rerouted through the dispatch function.\n let function_selector = comptime {\n FunctionSelector::from_field(PUBLIC_DISPATCH_SELECTOR)\n };\n let call_context = self.generate_call_context(\n contract_address,\n function_selector,\n is_static_call,\n is_delegate_call\n );\n\n let call_request = PublicCallRequest { contract_address, call_context, args_hash, counter };\n self.public_call_requests.push(call_request);\n }\n\n pub fn set_public_teardown_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.set_public_teardown_function_with_packed_args(contract_address, function_selector, args_hash, false, false)\n }\n\n pub fn set_public_teardown_function_with_packed_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args_hash: Field,\n is_static_call: bool,\n is_delegate_call: bool\n ) {\n let counter = self.next_counter();\n\n let mut is_static_call = is_static_call | self.inputs.call_context.is_static_call;\n // TODO(https://github.com/AztecProtocol/aztec-packages/issues/8985): Fix this.\n // WARNING: This is insecure and should be temporary!\n // The oracle repacks the arguments and returns a new args_hash.\n // new_args = [selector, ...old_args], so as to make it suitable to call the public dispatch function.\n // We don't validate or compute it in the circuit because a) it's harder to do with slices, and\n // b) this is only temporary.\n let args_hash = set_public_teardown_function_call_internal(\n contract_address,\n function_selector,\n args_hash,\n counter,\n is_static_call,\n is_delegate_call\n );\n\n let function_selector = comptime {\n FunctionSelector::from_field(PUBLIC_DISPATCH_SELECTOR)\n };\n let call_context = self.generate_call_context(\n contract_address,\n function_selector,\n is_static_call,\n is_delegate_call\n );\n\n self.public_teardown_call_request = PublicCallRequest {\n contract_address,\n call_context,\n args_hash,\n counter,\n };\n }\n\n fn generate_call_context(\n self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n is_static_call: bool,\n is_delegate_call: bool\n ) -> CallContext {\n let msg_sender = if is_delegate_call {\n self.msg_sender()\n } else {\n self.this_address()\n };\n let storage_contract_address = if is_delegate_call {\n self.this_address()\n } else {\n contract_address\n };\n CallContext { msg_sender, storage_contract_address, function_selector, is_static_call, is_delegate_call }\n }\n\n fn next_counter(&mut self) -> u32 {\n let counter = self.side_effect_counter;\n self.side_effect_counter += 1;\n counter\n }\n}\n\nimpl Empty for PrivateContext {\n fn empty() -> Self {\n PrivateContext {\n inputs: PrivateContextInputs::empty(),\n side_effect_counter: 0 as u32,\n min_revertible_side_effect_counter: 0 as u32,\n is_fee_payer: false,\n args_hash: 0,\n return_hash: 0,\n max_block_number: MaxBlockNumber::empty(),\n note_hash_read_requests: BoundedVec::new(),\n nullifier_read_requests: BoundedVec::new(),\n key_validation_requests_and_generators: BoundedVec::new(),\n note_hashes: BoundedVec::new(),\n nullifiers: BoundedVec::new(),\n private_call_requests: BoundedVec::new(),\n public_call_requests: BoundedVec::new(),\n public_teardown_call_request: PublicCallRequest::empty(),\n l2_to_l1_msgs: BoundedVec::new(),\n historical_header: Header::empty(),\n note_encrypted_logs_hashes: BoundedVec::new(),\n encrypted_logs_hashes: BoundedVec::new(),\n unencrypted_logs_hashes: BoundedVec::new(),\n last_key_validation_requests: [Option::none(); NUM_KEY_TYPES]\n }\n }\n}\n"},"97":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/encrypted_logs/header.nr","source":"use dep::protocol_types::{address::AztecAddress, scalar::Scalar, point::Point};\n\nuse crate::keys::{point_to_symmetric_key::point_to_symmetric_key, public_keys::ToPoint};\n\nuse std::aes128::aes128_encrypt;\n\npub struct EncryptedLogHeader {\n address: AztecAddress,\n}\n\nimpl EncryptedLogHeader {\n fn new(address: AztecAddress) -> Self {\n EncryptedLogHeader { address }\n }\n\n fn compute_ciphertext(self, secret: Scalar, pk: T) -> [u8; 48] where T: ToPoint {\n let full_key = point_to_symmetric_key(secret, pk.to_point());\n let mut sym_key = [0; 16];\n let mut iv = [0; 16];\n\n for i in 0..16 {\n sym_key[i] = full_key[i];\n iv[i] = full_key[i + 16];\n }\n\n let input: [u8; 32] = self.address.to_field().to_be_bytes();\n aes128_encrypt(input, iv, sym_key).as_array()\n }\n}\n\n#[test]\nunconstrained fn test_encrypted_log_header_matches_noir() {\n let address = AztecAddress::from_field(0xdeadbeef);\n let header = EncryptedLogHeader::new(address);\n let secret = Scalar {\n lo: 0x00000000000000000000000000000000649e7ca01d9de27b21624098b897babd,\n hi: 0x0000000000000000000000000000000023b3127c127b1f29a7adff5cccf8fb06\n };\n let point = crate::keys::public_keys::IvpkM {\n inner: Point {\n x: 0x2688431c705a5ff3e6c6f2573c9e3ba1c1026d2251d0dbbf2d810aa53fd1d186,\n y: 0x1e96887b117afca01c00468264f4f80b5bb16d94c1808a448595f115556e5c8e,\n is_infinite: false\n }\n };\n\n let ciphertext = header.compute_ciphertext(secret, point);\n\n // The following value was generated by `encrypted_log_header.test.ts`.\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let expected_header_ciphertext_from_typescript = [\n 226, 240, 253, 6, 28, 52, 19, 131, 33, 132, 178, 212, 245, 62, 14, 190, 194, 44, 7, 131, 160, 83, 64, 181, 98, 38, 153, 214, 62, 171, 253, 161, 111, 191, 28, 247, 216, 26, 222, 171, 176, 218, 48, 209, 73, 89, 200, 209\n ];\n\n assert_eq(ciphertext, expected_header_ciphertext_from_typescript);\n}\n"},"98":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/encrypted_logs/encrypted_note_emission.nr","source":"use crate::{\n context::PrivateContext, note::{note_emission::NoteEmission, note_interface::NoteInterface},\n keys::{getters::get_ovsk_app, public_keys::{PublicKeys, OvpkM, IvpkM}},\n encrypted_logs::payload::compute_encrypted_log\n};\nuse dep::protocol_types::{hash::sha256_to_field, address::AztecAddress, abis::note_hash::NoteHash};\n\nfn compute_raw_note_log(\n context: PrivateContext,\n note: Note,\n ovsk_app: Field,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> (u32, [u8; 416 + N * 32], Field) where Note: NoteInterface {\n let note_header = note.get_header();\n let note_hash_counter = note_header.note_hash_counter;\n let storage_slot = note_header.storage_slot;\n\n // TODO(#8589): use typesystem to skip this check when not needed\n let note_exists = context.note_hashes.storage.any(|n: NoteHash| n.counter == note_hash_counter);\n assert(note_exists, \"Can only emit a note log for an existing note.\");\n\n let contract_address: AztecAddress = context.this_address();\n\n let plaintext = note.to_be_bytes(storage_slot);\n let encrypted_log: [u8; 416 + N * 32] = compute_encrypted_log(contract_address, ovsk_app, ovpk, ivpk, recipient, plaintext);\n let log_hash = sha256_to_field(encrypted_log);\n\n (note_hash_counter, encrypted_log, log_hash)\n}\n\nunconstrained fn compute_raw_note_log_unconstrained(\n context: PrivateContext,\n note: Note,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> (u32, [u8; 416 + N * 32], Field) where Note: NoteInterface {\n let ovsk_app = get_ovsk_app(ovpk.hash());\n compute_raw_note_log(context, note, ovsk_app, ovpk, ivpk, recipient)\n}\n\n// This function seems to be affected by the following Noir bug:\n// https://github.com/noir-lang/noir/issues/5771\n// If you get weird behavior it might be because of it.\npub fn encode_and_encrypt_note(\n context: &mut PrivateContext,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> fn[(&mut PrivateContext, OvpkM, IvpkM, AztecAddress)](NoteEmission) -> () where Note: NoteInterface {\n | e: NoteEmission | {\n let ovsk_app: Field = context.request_ovsk_app(ovpk.hash());\n\n let (note_hash_counter, encrypted_log, log_hash) = compute_raw_note_log(*context, e.note, ovsk_app, ovpk, ivpk, recipient);\n context.emit_raw_note_log(note_hash_counter, encrypted_log, log_hash);\n }\n}\n\npub fn encode_and_encrypt_note_unconstrained(\n context: &mut PrivateContext,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> fn[(&mut PrivateContext, OvpkM, IvpkM, AztecAddress)](NoteEmission) -> () where Note: NoteInterface {\n | e: NoteEmission | {\n // Having the log hash be unconstrained here is fine because the way this works is we send the log hash\n // to the kernel, and it gets included as part of its public inputs. Then we send the tx to the sequencer,\n // which includes the kernel proof and the log preimages. The sequencer computes the hashes of the logs\n // and checks that they are the ones in the public inputs of the kernel, and drops the tx otherwise (proposing\n // the block on L1 would later fail if it didn't because of txs effects hash mismatch).\n // So if we don't constrain the log hash, then a malicious sender can compute the correct log, submit a bad\n // log hash to the kernel, and then submit the bad log preimage to the sequencer. All checks will pass, but\n // the submitted log will not be the one that was computed by the app.\n // In the unconstrained case, we don't care about the log at all because we don't do anything with it,\n // and because it's unconstrained: it could be anything. So if a sender chooses to broadcast the tx with a log\n // that is different from the one that was used in the circuit, then they'll be able to, but they were already\n // able to change the log before anyway, so the end result is the same. It's important here that we do not\n // return the log from this function to the app, otherwise it could try to do stuff with it and then that might\n // be wrong.\n // Regarding the note hash counter, this is used for squashing. The kernel assumes that a given note can have\n // more than one log and removes all of the matching ones, so all a malicious sender could do is either: cause\n // for the log to be deleted when it shouldn't have (which is fine - they can already make the content be\n // whatever), or cause for the log to not be deleted when it should have (which is also fine - it'll be a log\n // for a note that doesn't exist).\n let (note_hash_counter, encrypted_log, log_hash) = unsafe {\n compute_raw_note_log_unconstrained(*context, e.note, ovpk, ivpk, recipient)\n };\n context.emit_raw_note_log(note_hash_counter, encrypted_log, log_hash);\n }\n}\n\n/// Encrypts a partial log and emits it. Takes recipient keys on the input and encrypts both the outgoing and incoming\n/// logs for the recipient. This is necessary because in the partial notes flow the outgoing always has to be the same\n/// as the incoming to not leak any information (typically the `from` party finalizing the partial note in public does\n/// not know who the recipient is).\npub fn encrypt_and_emit_partial_log(\n context: &mut PrivateContext,\n log_plaintext: [u8; M],\n recipient_keys: PublicKeys,\n recipient: AztecAddress\n) {\n let ovsk_app: Field = context.request_ovsk_app(recipient_keys.ovpk_m.hash());\n\n let encrypted_log: [u8; 352 + M] = compute_encrypted_log(\n context.this_address(),\n ovsk_app,\n recipient_keys.ovpk_m,\n recipient_keys.ivpk_m,\n recipient,\n log_plaintext\n );\n let log_hash = sha256_to_field(encrypted_log);\n\n // Unfortunately we need to push a dummy note hash to the context here because a note log requires having\n // a counter that corresponds to a note hash in the same call.\n let note_hash_counter = context.side_effect_counter;\n context.push_note_hash(5);\n\n context.emit_raw_note_log(note_hash_counter, encrypted_log, log_hash);\n}\n"}}} \ No newline at end of file diff --git a/profile.io-social-cipher/aztec/target/zkpTestContract-Profile.json.bak b/profile.io-social-cipher/aztec/target/zkpTestContract-Profile.json.bak new file mode 100644 index 000000000..d0f5267ae --- /dev/null +++ b/profile.io-social-cipher/aztec/target/zkpTestContract-Profile.json.bak @@ -0,0 +1 @@ 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","debug_symbols":"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","brillig_names":["get_public_keys_and_partial_address","random","decompose_hint","notify_created_note_oracle_wrapper","get_key_validation_request","lt_32_hint","lte_16_hint","build_msg_block_iter","pad_msg_block","attach_len_to_msg_block","build_msg_block_iter","emit_encrypted_note_log_oracle_wrapper","directive_invert","directive_integer_quotient"]},{"name":"compute_note_hash_and_optionally_a_nullifier","is_unconstrained":true,"custom_attributes":[],"abi":{"parameters":[{"name":"contract_address","type":{"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress","fields":[{"name":"inner","type":{"kind":"field"}}]},"visibility":"private"},{"name":"nonce","type":{"kind":"field"},"visibility":"private"},{"name":"storage_slot","type":{"kind":"field"},"visibility":"private"},{"name":"note_type_id","type":{"kind":"field"},"visibility":"private"},{"name":"compute_nullifier","type":{"kind":"boolean"},"visibility":"private"},{"name":"serialized_note","type":{"kind":"array","length":6,"type":{"kind":"field"}},"visibility":"private"}],"return_type":{"abi_type":{"kind":"array","length":4,"type":{"kind":"field"}},"visibility":"public"},"error_types":{"12265343917440897559":{"error_kind":"fmtstring","length":20,"item_types":[]}}},"bytecode":"H4sIAAAAAAAA/+19C5hlV1Xmrq53dXe60k066ap0+lS6UpXq533VqxP4wkuEIH7wKQgOj3p1JrwiJAHRUURRhFEHCUReggPIw3mAIw/hQxFmiICDCCoz6AgKoigfIAgyyqhTp/v+df/733X2OWffu291lPt9Sd0+Z7322mutvfbajzvgLn4u2/5voPl9uPl3xHV+AHNT82+lu0+1h7QqMeUcuJfIuedeIufgvUTOoR7KmcqmPtVreYcj6LXXMo7cC2QcvRfIOHYvkHH8XiDjhOutj0PGoeb3vdv/7dv+b7+7OM52vOSGpQF8sPk+debUWVJjTDs7VeYEwWcx+DLRw+fKwdb3I82/93/mM9eek9z69M2tH0xuu/OO5Lbzyfptdz5983ZGPBaKOB+K2CDEq5t/1+64Y+tpP3BHcsdtydrmZvLsW+/4t8ltz9p65vmn3vZsxn1gKNPvDUXc6ELau7rAfW2owG8KRXxrKOJ7u2jm/qFApleEIh4NRTwxFN7M1VCmN4ciPrYLaV/YBe7LQgX+xVDEXw5F/G9dNPO+w4FMHxyK+F2hiI8bDm/mraFMfzgU8YVdSPvuLnA/GCrwR0MR/zAU8bNdNPPLoUz/LhTxn0IR946EN3NqJJDpqVDEc11I++QucJ8VKvCPhiL+VCjiXV008/+FMh0aDUTcF4p4ZDS8mdeHMj0XividXUj7g13gPj9U4J8JRXxpKOJ/7KKZbw5l+o4umL47lOmHumD6sVCm/6cLpn8ayvQrXTD9u1Cmg2PhTEfHApke7oLp0VCmJ7pgeiaU6X27YPrQUKaPDEV8bCji+S6aeWco0xeEIr6sC2k/2AXux0MF/lQo4p+FIn65i2b+QyjTPeOBiBOhiFeOhzdzLpTpSijid3Qh7bO6wP3xUIFfFIr4klDE13bRzDeGMv21Lpi+K5TpPV0w/Wgo0z/qgumnQ5l+qQumXw9lOjARznR4IpDpfbpgOh3K9PoumJ4KZXpDF0wfEMr0oaGI39OFtHftC2T6qlDE14civm1feDPfF8r046GIn+lC2gP7w3Gn9wcKfDwU8WQo4koXzXxhKNOfD0V8RSjiG7to5jtCmf52KOIfdiHt8GXhuJdfFijwkVDEmVDEM100892hTN8fivjhUMRPdtHMz4cy/WYo4vCBcGkXu8C9/4FAgR8aivjIUMQndNHMJ4cyfWYo4g+FIr6gi2beHcr0zaGI7+xC2r/oAvdroQL/QyjinslAxAOT4c38wVCmPxaK+NOhiC/roplvCGX6zlDE/9GFtF/vAtddHijwWCjiZCji0cvDmzkbyrTaBdPFUKYP6oLpzaFMv68Lpv8mlOlTumD6zFCmz+2C6U+EMn1JF0xfEcr0jV0w/ZVQpu/ugukHQ5l+NBTxD0MRP9tFM78aynTwYCDi5QfDpb1/F7jfFSrw94YiPj4U8cldNPNZoUx/NBTxp0IR7+qima8LZfr2UMQPdCHt17rA/adQgUcOBSJeFoo4fSi8mdeGMj3bBdN6KNMHdMH0oaFMH90F08eFMr21C6Y/EMr0R7pg+rxQpi/ugukvhDJ9QxdM3xzK9F1dMP3NUKYfDEX8vZLS7hwG+6smYroWu6f5LH3Xw5OuVVrn7S3tlcXaeFP2CHKv8wG7HtOupHsCHzjW0r0jXun5qIc03+HvQPO//c33jvD3u9bhvwfRM+ykfzA9w77o76Bn2J/4EJJnLEp/NVYi9tfSftd+IBJt2RuH3/KA8KLzQTs8J1w0G7pwC8Fe4Q9e8OUL9tLszDF6NjTWLucFexF7TP+Z0PsxahPen5S2sSyDIktKdziGLlYaWyntkRi0K5UG63DI0OGwocMRQ4dpqH2E0EnlHh2LIveF08djJOMQ8YKcewhmjOQYpn+fcK3n47SBcIj0ArppfXwEdjSWjTckeJMEM0J4o4I3SnJfgN3+b6b5fa/rPBR9U/NvJfBzfmO9tr5VWwf9C7pzrf4Fr0y+aysby7WtpcpmZft/5xc3VyqNxcbqZmPlfL3SaGxWlqqNyvrqytbmcnV5bXV9sV5bO79Ur2xUF+uV5dULY+e+Hran+WmkdPcbdKu11fXzm9XNtcXG+nJlqba5tL7YaGwtb9WX1lcry/Wl+mLl/NL59bVKtVZb2WhUt1tXWV1drKyeX1yuVC/44WU9l7e+mNLF2gvGwh7popLqgYryO/15OfHrZTzxjRvgOUEyxRg3Lhf+4MXjxkGRaZKe7SPZDgqtg0Ir1SXlpz3rN5bnUAl5LDzu7zYZtzbXq1u11fpGfWNrtbp+fqPS2Nr+ura2WNmsbSw2qufXVjcrq6kfbK03KvWt8+vVjfNrtY31en1x+fw48eq1HaW070O0e+gT1bT/r3Dtn5Tf4Uht8fkEeE6QTDF84rDwBy/2iStFpkl6dhnJdqXQulJoMd6hLvHi9Uu1Mi4y9YZupZ7SvcqgW603qptLy4vn1yr1ytbGVr1ara9tLtY31uqN7XGpvl5dXV/aWl1eqlUaS8vbzxrVxkqtsdHYXFrb3Lo4ThyJoouLMk/FoF29OAZNu/ZPyu/qOG3x+ht4TpBMMfztauEPXuxvR0WmSXp2Jcl2VGgdFVqMd6hLPO4XF66Tuj4YF3kK0q3mvL9A9xpqc69rO8cMmbeT29rS1lJjbWtr249XV1c2qvWNlY2trY3Ntfra8vJKZXlzfWvbs2vrG7Xz9fXzla21rZXF6vp22lndzn7Tvk9c+yflNROnHV5/AM8JkimGP8wIf/Bif7hWZJqkZ2zX1wqta4VWL/G4X5zrbQ7C8oDXcZK3h32w6LMB8JwgmWLYwHHn13+qk1mRaZKecV/OCq1ZobWbeIif3J/p56bm30o3n+rFmDdr0N1OJ6qLS2uVpZXzS9sRuFavNSobq0vrjXTGu9xYWtoOS/X1leVqdWOxtp3UbycX1dpadXF9o1JvbK0tpXSvozb3sP8v1LLnLF00tufa9WpjeX1pZbvmXdncWKltrawtLq6tLtY2G5vna5Xa4tL5rcrian1ztbG6/Xh7Xr62XbyorK2fr17IieYNurWV2uLG8urGxtLa4sb6+tbW+eXtLGrlfHV9aa1aW69vN3ytXl9pNCprW+e3Jzf11e1ixcrGyuq2KNvToNWU7vVxdFFJayyot3xfs7CS1lyeR3azYOkq8FPf3FpeqS2tpjRQ7+I6zwI9w/s/dS25fpLkmied9O4G1ov6notCe3lZ7bqHcjfYF3tLu3Yhb+b4gT6IE6Or3jECPCdctDGqao3R4MVjxIzIlOokidIHi4uTxI95aD4zI3Jy7thbmZa2WKZjJWW6Jo5M6yzTNSVk6qYtR+O05TzLdDSwLXN90AHjzfaZXxm96Fy/h7G9wTJdXVKm6SgyLbXFjOlA/Yb2Z1kdTEXRwfIqyzRVUqYjcWSqsExHAvXb7/6cD8TjfOdawkn/jbUm1NeHCebjzb/7hV/64bpmj3OPpQHhxbnHVSQTvnPdgmXq5lb47RnB8nbJdXuuUN1eAaxe2ANxlciEf+8hnlrX1pwlYg27bf3+StIT1qBZd1gXhyy8fs+18F7L6NMjeE7SM5535ek/XX+CLRymtl7v2j+aI/artgKeEy7afPJC3pwI/+tFT1xvBmwv68b9xkvbgzk02prOVb860nrPc2jwcsLLGbyAlzT/pvHyhDwboGegdcKgBfgTJPeIIfcXDLrY1wL4I/QcMPej+sEXSV6d2x8w2jVAz2CTC542LBh4TmTcY7TDCe3rSaak+f2EB8+ifVJggHMN0Qa/kx48i/YpgQHOdUQb/ADL/eqIlhNaTvjtF5nK4J0KxDsdiHcmEO9sIF4lAC+1V/RDQs+g4wV6Bv2doGfQzSA9OyP80mdo0zA9g7zXUxuqrv2TjkM112pP78aBWtWnH/CcIJlijEM14Q9e6J90H0qadybNf0+JfHh+QXlMDAJnNZANAHg8WNQDadUNWo1AWsCbIVrYA8iDwTUDLbqLzecYDAB/mJ4D5koaDGaaNA4QDvRygL6zXuok81HBca693WMe/FSmRHCG6f31Tdl4MxM+WYujoNNPpwHP2IujDeEPXuo0CF5TIl/CyuvWOGM5zWIgLeCx0yCqsNOsktMsNZ/DaQDPTgOYvxlv0biRnCZpvodeDtD3PKfhPuB2Jx78VKYFwWGneWCO06h+eRWpn04DnhMkUwyn0QwUvNRpMLpPiXyJI+V1O1WI5TRLgbSAl+c030NOs9x87nMawHyYnOYx5DToBGvakec03Afc7kUPPk+F2Onx/gk5TnNCno0TnX46DXhOuPapUK+dZkn465QVToO0dkrkSxwpr1vjjOU0y4G0gJfnNLeR06w0n/ucBjCvI6d5JjmNGvAB+p7nNNwH3O4THvxh1+pgdnq8f06O06h+o519qlQ2fX0HnhMkUwynGRb+4MVz1brIxLbJa2x1oVUXWow3G4h3IBBvPhBvf5/lvDwQ76o+yzkXiDfRpZx8PhafcYLrsY+s+nyU2xQpRlQtPQ2LnlKdrIhMk/SMzwSvCK0VocV4tUC8JBCvEYi3GIi3EIh3IhAP45mVE4wTXI9tyLtHGjwnXDQfqlp60nEmbf9qHP4bKb1zwn/Y4H9DHP4rKb0bhb/GusubfQA9QReQG7KBziDJmuTQttYdgMPrFdAJr+eE5K5cYbjWI2cieLxHPSEZGA+08mSwJkBF8UJKszwZ5DbrTN5agwL8QmRa0yVpTUeUi8f2aXqWCP30ma5/cRn8gCGb1c4B17t2DpRoZ9Y8648LVPSuo+eAmaJ51qeN4gSP2RhPsTdmkdoHuoD5bM68aMlow597SvmA53VdwHyV7lr4S6MNCfHVim/EXG+xaK4Xp1xv53pa+UvbH2mNq2GNEw3hn45TB0lOyHKCcJxr2RH7dIOewU75HDTgsniznQEGODyOgTZgQ1cOLpVxLGR1IXT8S9uMPuU2VwVP1z65zdXItCZL0pqMKBevLk3S30To82oPj2MnSCaVzWrngOtdOwdKtDNrDLhqT4sW14l4DOBxDDC30hgwvaclL96fMOQdEj48jgHmWJNWmXFspkAbjhhtuInaMEtt+PY4tvvjmOakRcexBcJxLn8cg53GGMdAm3Mr3Pm21CSW2l6j+Z3t+5Brvf/sSItmg57jGb6fpGf4foqe4ftpeobvZ+gZvp+lZ/hecS1Z8R2feD7hX6Bin6hE4W/7BHjpAhX6aErkSxwpr5eLStVAWlWDVrerzTNEC4bPwfoRFKyT5nMEa8DzAhVgjlCwfiQFa3QCDyoaFPg7L1BxH3C7Kx58nnTx4VS8/76cAUz1eynsH4qzFcPeP6STbjgNgljf9g/10mmSQFrAy3OaW8lpsBrgcxrAfG20ReOp5DToBGv/UJ7TcB8k9H3Bg88nuhN6hve35zhNIs/iZR9+pwHP2JvudCYDXuo0GOWnRL6ElddLQx8LpDVm0BoNpAW8PKd5PjkNaPmcBjC/Q07zAnKapPnemp6xXsZI5qOC41x7uxMPfirTScFh5/65HKdR/Y67zmtjb2r+u9LVx+804DlBMsVwGj0+AV7qNEhvp0S+xJHyplz7p6hxAo8NPeQMBZ8L6KUD5jnNa8lpAOtzGsC8gZzmdeQ0OG8IvRxwnYrn7+w03Ad8Duu4Bz+V6YzgsCO9JcdpjsqzcaLXY6P17k0AzwnXfp69105zRvjr+Ta2X8CybfJ8Sx3wpNBivHog3kIgXiMQLwnEqwbiHQ/Eg69YZ6HiBX7/3gQO/JF8yAz81t6EmTj8L+xN0PtLjxr8o9zr39ybMCr8zwh/7E2AnqALPmvtiI5vb4LSTmGmBAY4XAubbX7n+xb47Fr631nB20O02H64LPC+prDpuPMxqqOF7nvo1bpCaOIderYw9Awk1wq5zUViD+BPRqY1XZLWdES5svY9qN3wmUteL+I6q8pmtXPA9a6dAyXaydUWzg+/tqeTLvJDwPN6EWCWyU+/sadTXvZvruEPSPtAFzB/n5PPWW34VoE2HDHacBm14Z+oDVo5ydofGKk27V0vAs/Y+wMrwl/XTGLnILpeZO3PO0hyaj5prRehP3lPLuyU14uqObytMqjuKeJ1F8DyHA3vUtt7/2ALx8rDuSzNfcG2DpiDZNNVgy4XO7TCp/ci9rpPZzPaMUfPAXNVU3YrDjAt5+wy9IBrvwN0iHC4SjovMliHyCLqpZ7SO15AL4BJcvRyPEAvxw29zIoMzrX7JPQGOL2vs9e2k6WjeXoOmOs9OuI7jE6S7ENxfjtoMSX7B4davHd8gPhpnwGG+2xeYLTPJgmG93TCt0GT44KVM4Ee36u4QLh58WcxR/eKy+O3VVuLd7L4ou85aT8+fLI40jhnnizWXC7VidWveHaaZFMbmRdajNcHv61xrPH5LWAelBPbNG6priwdAIdj24LIkJW3zhGdrLwVMDd7ZM8a15k+t+eIQf8WGte/2xjXebl8XngdIDp4FrGGUuc6A/od/LkGDZhHXzrxuqHxemfcIX4JycexmO1wRmCAAz1MEgzvc8d7rhuq3c8Jv0mCn/PgwS44tnMcZhj2W8BsevqJ59F8n35F6KV8Xtykw/G+bXWcxieOE1k+Api7yUeeWtBHeI7H+ko/4273fyMhUt5p/kaCjhcRY0TD8iO1a8zxICdkSQjHuZY9cr/ymK3jmzUuAn6+IC0XSGuuJK05obXb8XDHHz3xUNvhi4fXU1uteKhjtZUzWed+5j205krSmhNa1jl2zrU5xmvNkONfjPz7pQH599eo9qW5g5XDqX1znvJKisHvHuyky/WHOXnWr3ij7bBykl/KyUUT+rcVu3w2z3mkxjbWSz2+Xi7kascK6AUwb87Ry7EAvRwz9JKIDM61j8879ZDm33EXbQdXw6ejhJ4D5m0F89l5kr1f9Qcrn9U+s/LZRGC0z3j3I8c/+DZoclywxkDQ4/jHuWNe/PmNHN0rLuebXJ+dpffvJ3nrJGvWGieecX1+mJ6/Y6hF+4PEO2R9kbdM8xqR1u91bzuvEfnOABSRoZt7V0PXOFH34DafFrzTgsdtPh2Z1mRJWpMR5WI/5DNxajfpM/Rj3hqnr50Drlw7J412TgqtSU878Y7X6druux7slBFxHPC8xgmY0+SnX6RcBjhcKwIOakXWmTjAfCUnRln7+L5qxCDdx2ediRuiNnyd2gAc9n1rjTPSmTDv/Jd3Zcdc49R1PutM3Nk4/BuWL2etcUJOyMK25lz7Gqcen8la46zk8B5wnWfigGOtcVpnu3mN85UjLZy6tMfyS72Ikf1njGx6fqiTLtc9T8uzfq1bazusudplTdmzcmmdm2o8teaPeqsrnxM8aeilGl8vdauOZ+kFMIdz9DIfoJd5Qy8LIoNz7T4JvQEu4lpUw6cjtqmdGq5HRzzH4Dlkv+YY0BvPMbTPAMN9pvaufcbHEjn/gG+DJscFHi9BV8/9c/wZcfnx52SO7hWXx+/9rvM3EWL7npP248P7eU/H4W/u51V/5WOUPJ/Es1MkW5F6ncbAiH5bs/wW/W757bkexLYsP+GcU/dDWWfDmR/yVs7LVfb7e2Rn+mcz6HN7rPWbx9O4/uChTrrW3iU+0z4vz9J+nyVZeu1XuidF19Z5T8rDC8br0yR7v2r6O/Vdz54Uq443KzDA4Zo4YKw9rVyHL7J3d05o+fIfju1c62EYK/d4nKefsmr8Z4VeyuenmnQ43vN87ok0PmnOaPkIYH6GfGS9oI/wHI/jS/qJuLfNO8cDzwkXbf9JlWuH4K/jRcQY0bD8SNfGMMeDnJDlOOE4177GqTkQ29CAyx4XAb9QkJYLpNXtWt1ux8Mdf/TEQ2tfZVY85DVOKx6qLovW+bTvmNZ8SVq6n4xjHa97VoS+VTPk+Oerc/j2odRFHt6H8qKcsVRxuQZo5Q5WDqd9wmPEiykGv3Woky7XH3Q9tV/xRtth5SR35+SiebHLZ/NskxrbrPXg2LnajMvXC2Bek6OXGVdeLzOGXo6LDM61j8+6FyzifqSGT0dsU4B5Y8F8lmsn/ao/WPms9pmVz6q9a5/xPjuOf9Yet7ca+R3ogp4vR/XFn1/L0b3icr6ZfvgWF8Aeomd4f/dIC//XKZ8NWSPkO8d4nees4J0VPF7nwbt+rzda+9KLthl9wG0ukhMBfiEyrUvtDuqKyMX5Ba/3oR95nVL3Z+e1c6BkO6eNdk4LrWlPO/GO1/rb7qD2zAmtO6h31hHITz9N+QhweL6s65Q8XwRdwHy2YJ2z7Q5qakNV2mCtUwLm88MtGn9ptIF9X+NPOrZEuo/AO4flOz0inQU17/TQ8+pp+yPVb82zmLqXBHNYyKnjj85h2acr9Ax2yuuUZ3N4s50BRvfkWOcf7+3jWOhdBAsBeN/eb1NOLh7HeL+NNY6hH3kc4zFHZbvU9ttYY8BVwy1aiAk6BvA4BpjH0xgwPdySF++t+siQ8LHGsWNNWmXGsZkCbThitKFBbZilNgCHfV99OI3jkcaRwncKxPy9bt1zYu23iTSOm/ttdBzVOwV0PPONY7y/DnbqG8eU94Dr3G9jjWO6tsn1Lp7vvZz225wRGVkXatNs64BZIZt+jOGXvAana4Cx99uU2VdyP08cYFrOdbevxLffpg/7kOq87uHTC2C+I0cvcwF6mTP0ouepnLP32/C+eF7777XtZOnoFD0HzCNyxhDUu86Q7P2qd1lnsrLOfnKfnRIY7bNJ13nHPMc8rlk9xhgvQbfMfhsr/nx/wfGb9xti/LZqPhHnS979NuAZ+/48Hef0jje2Ge5XPGOfK3OnAJ9H7OedAuh/6zzIk0vGNus+vKw7BTi26bpbVt6qdwpYeStgnuGRPWtcZ/rcHutOgZ+lcf1OY1y31rHyzu9FWp8w13B0fYTXJ/7dpROvG0XugJkh+YacfQdM1voE70Upsv5m2b11p8Cs0PeNKxzbOQ4zDPstYF7k6SeeR8/SM92Dk/J5pxHveT73H2h80pzR8hHAvJd85CUFfYTneKyv9BNxndM7xwPP2HcKzAp/606Bfqxhgn/WnQKQU8/f6hyP+9XaNzngssdFwM8XpOUCafXyToHdiIdW/jqT0w5fPOT9NlY87NUeGaY1V5LWnNDK21tjnanl/TbvjJh/vycg/76KYqXmDlYOp/bNecpvUQz+jEGX6w9z8qzfeybQDisnuScnF82LXT6b5zxSYxvrpRJfL+b9T5ZeAPO7OXpJXHm9JIZeZkQG59rHZ+gNcP2+j+KM8GcdfbJgPrsbdwpY+WxC8mXls2rvwOHfJbByXPg2aHJcsMZA3SvA8WfE5cefz+XoXnE53+Q1bOu8sM5hrb05f0Xxb2ykk25e/TXSXLxRdi7+lR7UGYvMxXUfclb9NZJe6pwH+/QCmG/m6GU2QC+zhl4073OuPVeB3gAX8WxAw6cjtinA/HPB+Me1iH7FP2u/uPaZtV9c7V37LCtPhG/zeg/iwoDLPtdeJP+z4s++Ju28/K9KNLEPyNpzENv3nLQfH/CM/ROJ6ova91wX4Fxf+7ponUZjYES/rVl+q/UY9ttpj+106ydci9S5sHW+m/mh/qp7LVj2az2yM/0zGfS5PUcM+vejfXtzI510ubY0J7w4z+c5e6R81czpNV/mfPV0Tszo4/7w6He6cm0SMFadhudbReo0utfcl/9wbOe8mGGs3OMGTz9xTYLvdLXy3VuadDjec/31JhqfNGe0fAQwTyMfeWBBH+H6K8eX9BNx3lv4TtdI9V/zTlcdL/o1pwV/nfeF3OmKNljraAMue1zUfDaPlgukNVuSlq6r7HY83PFHTzy0ai5Z8dC60zVG3ZppzZakNSu0rHM8Vq3BOnvA8Y9zCvDXei3LOCIw1nmfp+SMpYqbguMsgZU7WDmc2jePEc+gGPzikU66XH+YlWf9rqGhHVZO8uycXDShf5etWXEead3pClqV+Hox73S19AKY5+bo5ViAXo4ZeklEBufax2frTteYtfssHXGNGjAvKJjPcu2kX/WHBPJ67nQFjK9mrn3GOSjHP/h20vzLccEaA0HPl6P64s9Lc3SvuJxv8v7YRXr/cnqP++r4vqZXGvj4pH37r+leRL0bcN/2f1c2v9+ydcfNW8959NpTb91cu+PW257+qK1n3Ll1+x0DJF5VmsLvspq7h56N0PdDxnv+FBE/hdGt6MDBFOQA8eXrU/41/gzp2QA83iLDbdalad1ux20+E5nWFSVpXRFRrvRZXeTipX4+eoN+5CNDnIKpbFY7B1y5dl5htPMKoXWFp514l3Xc5p6RThmLHBm6erRF48OUmiKkn3WddFH645+EUrofLVjy5jZ8jNrQyGgDlzgA87eUXn+C2qBldR6q8EmHokhDgXcoAs8J1/5T7L0eirKubuRyRqQjUw3Ll/VnUFHO0Ktn2dacs3+GlH+6D3bKR4bwPYu3NYYAh48M6RGl1I6Wmt/xLjW7z1LKw0eR0s+4i9bPXjsDzwmSKYad6c+5qp3x2M/9xteDQja1Wc0/GK8WiHciEG+J2rO3+Z3T4q+SDYw3n++l909rnv3kGMv+lxW7OR4C5psU9w6PdtLl5R3d6h77aNDJjHbw0SDA/GPO9FmPRllHDPQoDnCsIwanDL3U4+ulzqUtn152YEb9elkI0MuCoZeTIoNz7XEbeuPjKf24LkF1xFt+ALPfoyMuKzRI9n6VFXZ8gPhpn1k/wanbX7XPJl3nVbQ8LvJVcIgLvhjtO3rgiz9TObpXXM7xvn2szD5WZh0XPCV6tPxarwNnPMzDI8a2WtmYv5AT2/oR888a/DC3sY6V7fwErUd262iL0uf2HDHoP5zmZI3RTrp8TfUp4cXxvF9b9bjkyP1gbWG8oWC83o1jFNY2tKxSbJEtlXwVu3X0wTreWKT2YW2bUTzYhW/L2imhw1vWHurpJ86HravHeAy5s0kn61jZI2h84jiR5SOA+WHykUcW9BGev/XxZ9K98zPw7PfPpOt40a9tzuCveQ/qALr1eI5wnGvf1qD2yzY04LLHRcCfKkjLBdI6WZKW5uG7HQ+tnyGZy2mHLx7ytgbfUTDuwyJHwU55aJ0sSeuk0OJYd4qeaa5t1ZU5/lkxuttjZc8pmH9zPL6H6qOaO1g5nNo35ynPpRj8mtFOulx/0Ovj+n2swnc85SdzctG82OWzec4jrWMV+tPq/T5WYekFMD+bo5dZV14vs4ZedFuSc+3js3WsItJY3fDpiOsSgHlZwXz2FMm+m9c4a59Z29I0V9A+4xyU4591rcBrjPwOdK1jZXqNvS/+vC5H94rL+SYfZ5xq/k37ZpBk6V3f1CopvRVqA8f2QXoOmLfk+N4K/Tul1QRv68dBgQEOz4+HRIZBguM8lWHH6Pkg8bXw+PuM4KQ2MyVwzOekpy1ow2GCAX0dO1m/gHmnR7/j1JYYdrBK8gyRfGwfgHlPjh2suna9WHagtrIqemFfWKF3eD9D+AzLdrBKfC28GZGBcTjvminBB+95a/2YwFk6svKuLNvhvgLMhwvmXatE87V7Wu1C+zkX6qe9QT7L3n6vpL0lze9F7I3jjtr8oOu0S4UdpecrxNfC03jBODxWDRp8xjxtseIO6KvtaLxPP3+SE3dWhe5NzX9XuvpctINzIg/kY/sAzJ/l2ME5166XpPmd7UBt5ZzohX2B+zBv/GE7OEd888afQcHheDFUgg/ec9wZFThLR1bcybId7av08zcF4845ovl8ijtoa9tamMhyU/Pfla4+F+1tUNqwSLrAc8B8M8fe1J+tOqz2O3A47ozSe+faxznub4ZNhC74Wnj8XW0rtZOGwDEf3RLLPK24A/pqO6zfHRmaX7LiTj/zXs05Oe8d88hpxWPLDrLyXvbxMZFh0Nn5LcMm9JzHHwuPv48KDo8/YyX44D3HnUTgfGMWx50s2+G+AsyVnj7Zb+CmNG+luJM0n3ONY5Rk6bW9sf1z20bl+QWd5Nib+iFqZWxvowIDHI47YyJDEXvjeTjn9Xn2lggO1zAte6t62mLFnaT5XW2H9QuYkzlxp5/jj8Z+Hn/O5tiBxhTLDrLGH471Cb13TRhrnGFYtgOeb1t4/F1jHMedpAQfvOe4syBwvjk6x52k+d03RwfM/QrGnUGi+QiKO3psJeWvP6mD/Xy8DxEwDxpr0d0Y66SbuNYz1Wtq2zyP6HWNciijHWPyPP08rGSMs67WHxMY4CyRDhZEBtZLI75e6pbPW3oBzKNK+nwRvQwaerHiNe87XiD89BMvLl60nSwdWXHxcTk+iPo2j+27eW1QN/ME6GHSddZoONfiY8IbxFv3EYMexz++4icv/tySo3vFTWnO7Gm97+OxO+/+ukvl2B3bjPVzIzyW6RqI2hHjYQ96xHWpGsca9VtelwLMs3Jim8Yt64yf6gA4HNv06DyPjycMfkOu3VcOGLL/iEf2rHGd6XN7jhj0X0Hj+vOMcZ3PNVn7pcfkWbz67UW/0vot+Fv125++dOJ1x36SnfGF+GmNkOsrgMmqJ0MPkwTDew6sc7NFzoxq7LfwrCPZOqfWWMM2eLenn7hOxLUj65q4DzTpcLy/nt6/yth7DjuyfAQwHyIfeU1BH0lcSxaOL+knYk7j3V+H7xMuWt5ZtXIKHS8ixoiG5Udjwh/76yCn1v7xnPfXoQ08Zuv4Zo2Lujc0j5YLpDVWkpbWVXY7Hlr562pOO3zxkPfX+eIh92GReLjgoTVWkpbWnDjW8V7iROhz/OP9dR+ImH/fE5B/X0X1B80drBxO7ZvHiP9JMfiLY510E9d6prXjfsUbbYeVk3wiJxfNi10+m+c8UmNb1ppXzFztXAG9AOaPcvRyLkAv5wy9rIoMznXm/47gYtcfsnTE9QfAfLZgPrvAsvep/rDjA8RP+4z3q7BMDKN9xjkox7+k+Z33lXzRyO9AF/R8Oaov/nwlR/fWz2a+iuIU4h7PA/VeB8TQRXoOmG9Q/LvPeCfdxLWeNeRZ7D2iZebi3yo5F7fuKQidi+vVTBH1UvfVpXXukX4Gx/16GQrQi1WX1rzPufazsJrLRKyTeWv3ujaRfvZ6dMTxj2sR/Yp/Oz4g/PDJGrM0T9Q+y7rjI2l+5xiGuDDgOn/+18r/+CxyXvy5Kkf3ipvS/POBzvf4jLtod3B466/gOUEyxZgDZ+mf668NkcmqdXA/4bn6PuPh7pBxF+2OlZpVP1Eb5frJfE5s07ilurJ0YM3D9Iz9AaJVM/ih/srxUWU/45Gd6Z/IoM/tsWpLD2vST/2lNt5Jl3PXhvDi+Q+e9bv+Cv7WXGe1YLxeItn7VW+w4nU3cy+er1tnC3pVp7HwYBcc26HTEYFhvwXMQzz9ZO2XSZ+dEHopn9ubdDjeX0/vH07jU1bua91p9hzyke8u6COJa8nC+ko/EdfdvfVX8Iz9kyF5OXS/669q16i/6tqNr/6KNvCYreObNS4CvlGQlguktVCS1oLQ2u14uOOPnnhozTnK1F85HupYbeVMem8a5zkWrYWStLQmybHOyrU5xiP+cf31dopvS8Lfuradc2WGAe4wwTw7ZyxV3AvXtjeDkZU7WDmc2jfnKT9CMfjV4510E9d6pjXZftdf0Q4rJ/mJnFy0mzUHa569YuilHl8vZv3V0gtg/n2OXs4F6OWcoRer/srjM/TG9dc454Ds+uuS8Gcd3VUwn92N+9WsfLZIzTzrXBLXH6wcN2l+5/rDq438DnSt+gPnjnnx55cK1h+4pvFwilMr0q70FZ9P6l3fXNxvfQO1gWM72xtg3pTjezfQv1NaiOHcj9rXwOH58arIMEhwbAcMu0zP+dyXhcffVwSH86dVg0/d0xa04TDB8PmKLP0C5u0e/Y5TW2LYwY0kD/sX2wdgfj3HDm507Xqx7EBt5UbRC/sCYAdd53lEhWU7uJH4Wnj8fVVwOMdaKcEH73nf/bLAWTqy8q4s2+G+AsxvF8y7biSat1HeBRl5Ta6f51ohnzWe/W7JMV9zaN/4wXFH53dF7I3zZ143zLO3ZcHhPN+yt7qnLVbcAX21HdYvYP44J+70c/zR2M/jz2dKjj+WHWSNPxzrl0UGPufOfs+wbAc3EF8Lj79rjOO4s1yCD95z3FkSOEtHVtzJsh3uK8B8uWDcuYFofg/FHc2H4s017HsVIJ81B/tGyTlY0vxeZA7GcWdZZChib1w3sO5VyLI3nVtxrcKyt7qnLVbc0Xqupd+ddZOJi38v9XsVRjxyWjElQfsIpsi9Cpp38r0K7PcMy3Zg3avAePxdY5x1X34RPnjPcUfvNPDlyr61ACtXBswVnj7Zb+CmNFcp7kBGPgeyTLL02t70PD3mo8v0HDBX59hblh+yvS0LzM5ZfdfSwZLIUMTeeL68THzz7G1RcFI7qQmctVZitQVt4LijNUpLvzv115y408/xR2M/jz+nc+wgKw8sMv5wrNe7AAadPc5Y9XDn2vNeC4+/a4zjuOOruysfvOe40xA431qpr76ttT22nRtz4o7ipjSvobij65GpvUW6330ppXea2jDkWvfK8918gHlgjr2dpn9n1en0vkC+GxU60DtzI+rgQn35TAEdAOZhOf2L2invY+jX2tdOXxI/vZ9W78e1+oTvlk0/fB8v39+n9/kDnn3nBNFiGL6TFjDf69Etz3/Rhv0GvfTfXzDeO5LJidz48Joa8JLmX2s9iGu/oGXtfQD8Asm1t/md9xU8aaKTLmwS8EfoOWDec6hFY2OiJS/XtPFsxGjDCH3nPrLaMGLgOZft76of4FxPMiXN7769IRbtEwIDnGuINvgBdtC12yRoDTTf6T4k4IwYMuK/kwVkzfpdi+tIVvDku8J5DwRoOaHlhJ91F35RvFOBeKcD8c4E4p0NxKsE4PH+pYSecczBM+jvBD2DbvjOFv0tPP69u2F6BnmvpzZoTEvHmDh7m2tVn374DoCRKPztOwA0PqX7cO7jWr45JfIljpTHxCBwVgPZAIB3iGjVAmnVDFohP6LLyfEM0bIGl1fQ4KKb1gB/mJ4D5i4aXF5Ngws6wTpAyHqpkcxHBce59naPePB5wOODfXj/+pzEzNo8F+fiCr/T8I+Extw8pwcnrc1rqdMgUE2JfIkj5XVrnLGcphFIC3h5TvN2cho+TZDlNIB5KjnNu8hpgMM7PfVXL/k7Ow33Abd7rwefs2t2erz/zRynsX5Zl3de9ctpwDP2L+tqRmn9sm3qNEnz31MiX8LKY2IQOKuBbJzAi+U0i4G0gMdOg6jCTvMxchreAshRiJ0GMA8mp/kEOY11XADf85yG+4Db3fDg83V17PR4/6kcp7F+Jjhpfu+n04Bn7J8JToS/LqvCaZDWTol8CSuPiUHgrAZa89NYTrMUSAt4eU7z1+Q0XJPOchrAXENO8yVyGus8Lb7nOU1C760afZbTDAsOO83Xc5zGOlcHej022k1f34Fn7HN1w8LfOldXE5nYNvn3hGpCqya0GG9/IN6BQLzLA/Gu6rOcxwLxZvss51wg3kSXcqZ2wzabfsZd+3nEHvrIqs9HuU2RYkTV0tOw6CnVybLIxPv5uCaia5TLQovxqoF4ewPx6oF4jUC8E4F4i4F4SfOvlRPEW9e/uC/fiZz4gOeEi+ZDVUtPOs5EPLuxYa2vDhv84+wfrKyk9HQ/m8a6y5t9oOvsus+Q9xhD1iSHdgqzV2CAw+sf8D/AhuaunONd65EzEbxJgk9IBsYDrTwZuJJSFi9kYsplR25zkXvLAF+NTGu6JK3piHLx2D5NzxKhnz5DP15Dz3gPhspmtXPA9a6dAyXamTXPevTeFi0tgwP+OnoOmLsPtmg8dm+nvDw2YXwbEvn5XgbAPL5Jq0m+7cMVOG7DE6kNer8M4HmdGDBPozasUxtgDwnx1WWSeJU//1lzrvxFur/HrPxpLE/bH6lc37DGCbXxdJw66Dr3B+0lHOdadsQ+zb4PO70PtQVwWbytXBg4PI5pfSB0ue1SGcdCxuDQ8Y/3l3Cbi+wvAfxCZFqTJWlNRpSLl2Qn6W8i9Hm843FsL8mkslntHHC9a+dAiXZmjQF30RiAmKBjAI9jgPn85S0ad9MYgPd7DXmHhI91v9ArA8axVxdowxGjDe+lNrz22+MYPpfEOKZ7woqOYyOE41z+OAY7jTGO6Ypqanv4XaZf3duS963N72zfh6g9T5hs0dT7CHl/3kl6pntfD9D30/QM3/k31/H9LD3D90rz7yB9571lWfe77/Zqb8z73dVXrPvV70P66ttq70IgrQWDVhJIC3gzRAsOwUH8IxTE9cf4AM8LV4B5GQXxj1IQT5rvrdVe1gsPntZqLxtz4sFPZVKH4IHtD3IGNstpQK+fTgOesZ2mIvyznAaBbErkSxwpL3Q3JvBiOc1oIC3g5TnN58lpMPL5nAYwTyen+QI5DToBejlA3/OchvvA+qXbLKc5KTjsNF/JcRrVb7ysxO804DnhYv166UWn0RkO//Jn+oHTIEuYEvkSR8rrpaF3ezyCaQ0H0gJentO4fS26oOVzGsA8hJxmsEkjdRB0gjVtY73wduOjggNe+Ix68LkUN0x/8X6iKVvekVV84m2R8DsNb5GIOZXRLRLWVCJ1GqS9UyJf4kh5U679U9Q4gddLQ++lA+Y5zTQ5DWB9TgOYhJzmGnIajVAHXKfi+Ts7DffBUfpe9eDz2buj9Azvr8txGj1fMk50emy03j0L4DlBMsVwmqPCH7y4PjksMrFtJiSbOqCu3TLeiUC8sUC8SiDeaCDeQiBeNRAPvpL2F/dp+om4N65RNPBH8qFCe+PS9h+Pw3+D4yT4nzH4H47Df8WqoR0V/tizAD1BF5AbsoEO71kYzaGdwkwJDHC4RoY+mSK8o4ST/ndW8PYQLbYfLgvcsL8l+83N2B46U+SaGNfh9Uy09i/X4fGum7OKIaWh0EQ/bTP2hnKb5wVvXvC4zfORaU2XpDUdUS6uJvB+CLUbLtXxOhJPHlQ2q50DrnftHCjRTp5AcH749H2ddPXuq+voOWB+bV+LxjP2dcrL4yX2rA4JH15HAsydBSdB3IZnF2jDEaMNL6I2/JCR47Lva/y5FNaR4pQZ7dq4Tr7GXacd9oh/g20G/CvCX9eRIAvbmnPt60jozwo9g53yOtKZHN4DrnPvFXB4jARt3pOEORcXGu67v4WDdrBtoU1q02zrgPk5sun/YvglrxfNybOIeVXDmn+iHcfpOWBe6okDVo6GtnAfHRcY4PB+rFmRgfVSia+XOq9b+vQCmFfn6CVx5fWSGHqZERmca/dJ6A1w4679LESvbSdxLV2wjmbpOWDekDOG4I6eeZK9X/eb7/gA8UtIPrZT7rNZgQEOr4kDZo6ewbdBk+OClTNZ9+7NEW5e/PnVguP3PNF8NuX584Iz7trPvPTa95y0Hx/wnHDRxrmqNc5pLpfqxOpXPDtNsqmNzAotxuP74yP5bY1jjc9vAfNbObFN45bqytIBcDi2zYkMWXnrcaKTlbcC5rc9smeN60yf23PEoP85Gtd/xxjXeeVvVngdIDp8L1lCsvTar45RG7gfEnoOmE9cOvG6USReHyP5suJ1IjDA4fsIAQN75H6aIVpq98eF36TrHK8tPNgFx3aOwwzDfguYP/X0E8+jZ+jZCaGX8tnXzHc53retjtP4xHEiy0cAc5BqR18o6CM8x2N9pZ9x194P/ZrjgeeEi5Z3Vq0cWseLiDGiYfmR2jXmeJATshwjHOfaf18NbeAxW8c3a1wE/GxBWi6Q1vGStI4Lrd2Ohzv+6ImH2g5fPOTfVwMMx0Mdq62cSec4Vi7MtI6XpHVcaHGsm6VnZ4S+VTPk+Bcj/55s0i6Tfz+dYqXmDlYOp/bNecphisGL+zvpcv3huDzrV7zRdiT0HDBXe/RYJHb5bJ7zSI1trJdKfL3Ued3GpxfAzObo5WiAXo4aejkmMjjXPj5Db4Abd+13OPTadrJ0xDYFmFM5Poj4PUuy72b9QfvMymfV3rXPJp2d41r1h0WKfzoGgh7HP84d8+LPao7uFZfzTa7P8m8N3JfkrZCs6X/WGqfuuR9oyojn1ctatO9PuTDeO8LjD+eIl9oa5+lAvJC10W+flSsnV/rsLH3HX2uNE/3Ia5x67qvXZ+UmjXZOCq1JTzvxjtfpeD65ub9TRsRxwPMaJ2DeQrnMLZTLAIdzJJzRQa2I55qgC5in5MQoax/f04wYpPv4eE4MmB+jNvwAtQE4eWucZ6mN/Zr/gmfsNc6zwt86K3c6Dv8G2wz4Z61xQk7IwrbmXP4aJ+y07BqnnpWz1jj1IkaeY/A964cnWzgVaQ/rQm2abR0wzyebfr3hlzzHOCXP+rVure2w5movysmldW6KtnAf6fwROHx/14LIwHo5G18vdauOZ+kFMC/J0ctsgF5mDb3MiQzOtfsk9Aa4iGtRDZ+O2KYA88qCcwyeQ/ZrjrEzxhI/7TPNDSx71z6bJJhT9Ay+zXsqXm+Ml6Cr9wFw/Blx+fHnTQXH7wrRfBrl+bqvL7bvOWk/PuAZ+ypy9UXt+1Qn6otWXxet12kMjOi3Nctv0e+W376zZGwr4yecc+p+KB4HThj8kLfqfkaW/Tc8sjP90xn0uT3W+s2naFx///5OunyufU54cY0RzyKu35j7dsB/hp4D5kMF4/UCyd6vmv5OfdezJ8Wq480IDHC4Jg4Ya08r1+GL7N09LrR8+Q/Hdq71MIyVe3zS0088j+Ya12mhl/LZ06zxcLzn+dwf0/ikOaPlI4AZo9rRpwv6CM/xOL6kn4h727xzPPCccNH2n1S5dgj+Ol5EjBENy49mhT/meLrunxCOc+1rnGiDtcd6wGWPi5rP5tFygbRmS9LStbrdjoc7/uiJh9a+yqx4yGucVjxUXfI4DFpWLU37jmnNlqQ1K7Q41ln7CTnGa82Q45/FvyLwHMdHBIbrdTswTdpZY6nicg3Qyh2sHE77hMeIfRSDT17WSZfrD7PyrF/xRtth5SQHPXosErt8Ns82qbGN9XI2vl7M/WiWXgAzlaOXIvsdVC/HDL0kIoNz7eOz7pnr9/q43j7BOro2xwcRv7l20q/6g5XPdrNezzERMBz/dN8HxwVrDAQ9X47qiz9nc3SvuJxvXsAnmoiBh+gZ3h+cbOE3KJ8NWSPkWjGv8+g5oxOCx+s8eNfvM5XWvvSibUYfcJuL5ESAn4tMa7okremIcrEv8VlMtRvOP3mdUvdn57VzoGQ7p412TgutaU878Y7X+nlO+BgjZiAWA57XKXfWEQ60aDyO8hHg8HwZ/o56D88XQRcwT8iJM9Y65ZOoDWelDdY6JWDWqA0bRhvY9607PSKt03nnsOAZ+06P08IfOuE5bKT6rXkWU/eSYA4LOXX80Tks+/QZegY75XXKEzm82c4AAxxepwRtwN7bx7GQvUI8ty2D9+39NuXk4nGM99tY4xj6kccxHnNUtkttv401BryUxgDEBB0DeBwDzKdoXv0LNAbgPY/but+G1wFAFzCvChjHfrFAG44YbXgbteGXqA3AYd9XH07jeKRxxDuOgeeEi7bf58I4pntOdnu/jY6jGMcgZ5H9NuhP3l8HO/WNY8p7wHXut7HGMV3b5HoXz/fuQ/ttTouMrAu1abZ1wLydbPr3Db/k/YGn5Fns/TazGe2w1nbek1PXmaV/D7nwfSW+/TZ92IdU53UPn14A84EcvRwP0MtxQy+zIoNz9n4bwMXOa7N0xDVnwHykYL2L1577Ve/a8QHil3X2k/tMcxvtM55n834b+DbXrH7fGC9Bt8x+Gyv+/K+C4/dpovmLVK86LTgR7cq73wY8J1y0cc68bRi8eB5grffgGe+30ZiodsR4fB5xNk77aj6/5bEAMH9RMrapriwdWLFNY1dW3qp3Clh5K2C+5JE9a1zXOwUAY90pME41l68a47q1jsX1ouPyLOL6ROk7Bf7vpROvd+VOAd/6m2X3vbxTgOMww7Df7sA0bTBrv42eH7P24KR8ak06HO95Prf3QEs+zRktHwHMCvnIZc3veT7Cc7xv3ylw8cNzvCQO/+h3Clj7BQZc9rgI+NmCtFwgrV7eKbAb8dDKX3t9p0CMPTJM63hJWseFVtbeGr0/xaoZcvwrmn/z3pis/BswS54YnZV/v5TyCc0drBxO7ZvzlBspBn//gU66u3TPkblnAu1I6DlgHuDRY5HY5bN5ziM1trFe+nDXgnmngKUXwDwsRy/d3CnAernU7xQ4LfxZR4/K8cF/SXcKQA9ZdwrAt0GT44I1Bur+RI4/Iy4//jwxR/eKy/kmr2FzzSFrTcHam7NF8e/5Bl2Of1qTjTgXb5Sdiz8lx897NRfXfchWvh5RL3XOg316AcztOXqZCdDLjKEXzfuca88VoLed+oDr733ANeHPOvrhgvGPaxH9in/WfnHtM2u/eNb9xFx/BQzHRPg2r/c8n+LfWaFr5X86R/fFn58umP+dJZpPovqr7jmI7XtO2o8PeE64aOcBq5Yvat9zXYBzfe3ronUajYER/bZm+a3WY9hvf6FkbCvjJ1yL1LkwjwPzBj/UX3WvBcv+Go/sTH8hgz6354hB/z00rr/uQCdd6640nnvOyLOI+aqZ02u+zPnqWwrG6z7sD++oNySQ15OvAqZIvsq1ScBYdZqEaBWp0yRCy5f/cGznvJhhrNzjXQXrrwk90/pJyudzVH9Fn3L99b00PmnOaPkIYP6KfOR9BX2E668cX9JPxHmvt/4KnhMuWv23as2Ddbzo15wW/HXeh/pr0vw3ZOHfjnKuvf6q92+yDQ247HFR89k8Wi6Q1kxJWjNCa7fjoXVepkjNJSsecv3VFw+7rVszrZmStGaElnWOx6o1WGcPOP5xTgH+Wq9lGUcExjrv85c5Y6ni8lkCK3ewcji1bx4jvkQxeN9kJ12uP8zIs37X0NAOKyf525J1xjI1K84jE5GB9XImvl4u5GrTBfQCmG/l6GXaldeLdX7mqMjgXPv4nDT/Ai527T5LRwk9B8xg0+7z8lmunfSr/rDjA8RP+8z6ncdEYLTPOAfl+AffBk2OC9YYCHq+HNUXfyZzdK+4nG/y/tgavcf+2PQ97qvj+5oOT3bi45P2La9l9SuHBM9+34uodwOm1+Ve2fx+y9YdN28959FrT711c+2OW297+qO2nnHn1u13DJB4Z6Up/C6ruXvo2Un6fsh4z58i4qcwuhUdOJiCHCC+visyfd3Fx2dA/1qPnLolnI9cnCUZGA+08mQIPe5kbZ8s2mZsI+Q26xZ83UrMbT4VmdYVJWldEVGu9FlF5OKlfj56g37kI0O6jTCvnQOuXDuvMNp5hdC6wtNOvMs6bvOAyU4ZfUeGAPNyOqL+YEpNEdK5lKpHhvgnoZTuQ3OGHKsNN1Mbqhlt4BIHYG6jNjyC2qBldR6q8EmHokhDgXcoAs8J1/4T570eiirC3zoyFOnIlHlkSH8GFeUMyAlZfEeG0J/8032wUz4yhO9ZvK0xBDh8ZEi3Cad21Gh+52WgJ1DKw0eR0s+4i9bPXjsDzwmSKYad6c+5qp3x2M/9hmd1kk1tVvMPxlsMxNsbiNeg9ow3v3Na/DSygcHm83HiybGV/S4rZnMcBMztFO9eYsRsXtaxrimO9LPLF/x9IaMdJ+g5YJ7jGSOYlnP2WDvgOo8FAoeX7U+KDKyXSny9XCgnzBfQC2Cel6OX+QC9zBt6WRAZnGuP19AbL4+dJB69tp0sHZ2k54B5YcFyQpVk383rm/Ou8B1w7fM0q88mCYbzXt0exXHBF5uLHCez4s/dBXO7KtG8meLiKcGJ7XtO2o8P/xT8qTj8zZ+CV39lmwEsl8k5byiyNRrPYCsRj+vVfH7LYwFgfrkHsU11YMW2EyIDx/zTBj/MaXjOprL/Z4/sTP9MBn1uzxGD/odoXH/bZCfdCvFaEF4HXOdP1MfeJqTL0L6flXpXwXh9imTfzetK8669tZbJ9HplPvJg5R7WdRygZdUVAH/Kg6dLaxx/RgSGc07AfNDTT5wHW1eO8RjyVSPe81z/IzQ+ac5o+Qhgvkk+8tGCPsLztj7+PLp3Xgae/f55dB0v+rW9Gfz1WnLM/3XLMR/Dda59O4PaL9vQgMseFwG/UJCWC6Q1X5KW/nT6bsdDK389ntMOXzzk7QxWPNSx2sqZrOvAFjy05kvS0p+X51jHR8zOCn2rnszxz4rRVv6tMRowVoz+RsH8m+PxAyhWau5g5XBq35ynfIti8NTlnXS5/qDXxvX7OAXaYeUkA03Zix6n0Njls3nOI63jFPqT6rFztWsL6AUw4zl6udaV14u1jmQdp+Dx2TpOEWmsbvh0xFuKAHO5R0ccv7l2spvXN2ufWdvRNFew1th0SzjHRN4+gLjgq+P5rq/3xZ9rcnSvuJxv8laiqebftG8GSZbe9U2tktJbpjZwbB+k54C5Lsf3lunfWWsagwIDHJ4fD4kMgwTHeSrDjtDzQeJr4fH3GcFJu2JK4JjPsKctaMNhgtGtMJZ+AVPz6Hec2hLDDlZIniGSj+0DMEs5drDi2vVi2YHayorohX1hmd7h/QzhMyzbwQrxtfBmRAbGSe1gWOCK8MF73mY6InCWjqy8K8t2uK8A8+CcuKO4Kc3pfW6nXWg/jwn9tDfIZ9nbw0va22jzexF747ijNj/oOu1SYYfp+TLxtfA0XjAOzxkGDT4jnrZYcYfjYpZ+AfPYnLizInRvav670tXnoh2sijyQj+0DMI/PsYNV164Xyw7UVlZFL+wL3Id54w/bwSrxzRt/BgWH44Vv/FE+eM9xZ1jgLB1ZcSfLdrSv0s9TC8adVaLpKO6grTzXGBJZbgJMD+xtUNpQI13gOWBuz7E39edmSttmb9rvwOG4M0zvnWsf57i/GXZU6IKvhcff1ba4ljBs8NHaFfO04s4I8cnSL2B+LCfu9DPv1ZyT897nl8x7LTvIynvZx0dEhkFn57cMy3bA44+Fx9+HBYfHn5ESfPCe486owPnGLI47WbbDfQWYuwrGnWWi+fm9rXZBRj7Kwrl9r+2N7Z/bNizP088rc+xN/dCyt2GBAQ7HnRGRoYi9JfR8mPjm2duo4PBRA8veFjxtseLOKNHK0i9g3pQTd/o5/mjs5/HnP0UcfzjWj9J714SxxhmGTeg5z7ctPP6uMY7jzmgJPnjPcScRON8cneNOlu2wrgDznoJxh/P2j1Dcgc3zfkddY8Q+Pmtf2m9d3qL7mcs76Sau9WxBnsWLcRdrlEMZ7bBi3D0lY5y1ppMV4xqkA41xrBfefxVJL3XL5y29AOZ3S/p8Eb0MGnqx5hNcC9U8MV5cvGg7WTqy4uInC9a3eWzvV317x96In/YZYIrEaehh0nXWaDjmce70Gapv6/oi6Pmui/TFn8/l6F5xU5qv3tt6rz+JFHH/V+Hr2iPt7zOva9f1XbYZ7lcdJzk/Bi21I8bD3vNx11476mH7ahxr1G857gLmazmxTeOW6srSAXA4tlnzGNDaa/Abcu2+csCQ/e89smeN60yf23PEoH/FwZbM/2iM63yeaUR48Xydr4mKU7+96Fdav9X5JNdvh5ptuwTidcd+kp3xhfhpjZDrK4DJqifz/AYw1j4cHkuL7MPR2G/hwS44tkOeEYHhnBMwBz39lMpQJV54pvtpU/r3axLgeM/766482JKP40SWjwDmQeQjU83veT6SuJYsHF/ST8Scxru/Dt8nXLS8s2rlFDpeRIwRDcuPhoU/9tdBTq394znvr0MbeMzW8c0aF321BouWC6Q1XJLWsNDa7Xho5a8rOe3wxUPeX+eLh9yHReLhiIfWcElaWuvmWDdCzxKhz/GP99fdj+Jbr/PvB+SMpVb+fRfVHzR3sHI4tW8eI76TYvAtBzvpJq71bFie9SveaDusnOQRHj0WiV0+m+c8UmMb66UaXy91a43V0gtgHp2jl9UAvawaelkRGZzrzP8dwcWuP2TpiOsPgHlCwXx2hGXvU/1hxweIn/YZ71dhmRhG+2zSddaMOCbyvpJbjPwOdEHPl6P64s9TcnSvuJxv8jlkngdynOX4y+cLAfMMin8vNugmrvVMa7IR5+KNsnPxZ+f4eT/m4rX4eqn76tI690g/z83Ry1CAXqy6tOZ9zrXnCprLRKyTeWv3ujaRfl5QMP7txvnmHR8QfvhkjVmaJ2qfWWc6rJyQ48KA6zzfbOV/er7CF39eWjD/4/z1iXs73+Mz7qLd/eGtv/LdH404/Ks+/XP9VesHPMfjnKPIWR08w50hEc+P16z6idoo109enxPbNG6priwdWPOwqshwgGgtGvxQf+X4qLL/ikd2pr83gz63x6ot3UPj+n892EmXa61aS+b5D571u/4K/tZc5x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","debug_symbols":"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","brillig_names":["get_public_keys_and_partial_address","decompose_hint","notify_created_note_oracle_wrapper","get_key_validation_request","random","lt_32_hint","lte_16_hint","build_msg_block_iter","pad_msg_block","attach_len_to_msg_block","build_msg_block_iter","emit_encrypted_note_log_oracle_wrapper","directive_invert","directive_integer_quotient"]},{"name":"get_profile_nfts","is_unconstrained":true,"custom_attributes":[],"abi":{"parameters":[{"name":"owner","type":{"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress","fields":[{"name":"inner","type":{"kind":"field"}}]},"visibility":"private"},{"name":"page_index","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"private"}],"return_type":{"abi_type":{"kind":"array","length":10,"type":{"kind":"tuple","fields":[{"kind":"field"},{"kind":"boolean"}]}},"visibility":"public"},"error_types":{}},"bytecode":"H4sIAAAAAAAA/+1dC2xk11m+9twZz9g7nrGzXu+ud73jx3i9ye4yznqzoQXqZot4qImQaEskEMiJnWSV3fXG6yWpWqkVRa1EebUS0IhEgFIpQSBaGgQUKoEChS0FoaSBFqmIVDxSCaRWIEERCOpr38/z+fN/Hz53rr2bzpXGc33mf53vP/c//3nMmR5v8xpZf/WE98XwvdfbeYFmIXxvZbvmOiirlaedPR20s4dsPEhYF9Zffoh/af3Vt/4qr78q66/+9dfA+uvA+qu6/hpcf9XWX/X119D6a3j9dUcobwTCfRKuwHg5Kn/K0HWc7ifC98W1teUr19YaayuNKzcur126dvndjScvrT3WWPnx5dVHLq88yQL+he6/I3z/wbWV1cVHlxvXL6+sNVqNq+t/Fy+v8y0vnW3wZ9fX5V9fa1xfW1xdazyyunKlMXeWZR8qZDTuKAk4Er6/dXV18d2NS1eXlp9qrNxYa6w80nho5cbVpevMOEGMx3ZqXlxailbadFXaylrdeVfNb8lQ3YuuSu/PoPSHskL1w65WP5ZV8+UM1b7mavWTGZS+x1XpT2RQ+kFXpT+TQelHXJV+LIPSZ1yVPpdB6fOuSn8rg9JPuSr9NDEOh+/Xblx/LJrjT7M+pTddbf1CBoC+6Kr0HzIo/UdXpf+aQenXXJX+Vwal/+OqtOC7K+3zHZXWMii9w1XpWAalkxl4v414nZ7XcxmUX3BF67syKL3PVenbMyi9lhXmNVer35fB6g+4Kv1wBqU/56r0lzIo/WVXpc9lUPq8q9JPZFD6oqvSP8yg9I9clf55BqWfd1X6NxmUfjkD72uuBr/uyvjvGaz9BvHOQukm7/JSwL26vLjUuLa4Ps+wfHUp0H9foH956V3LD7Ocrek1zzE0+kXH2g8U3Wtfc1V6KIPSo65KJzIobboqPZ1BactV6ZtcGb/HlfEdroyLroxXMwB7nXizPLXvyfrUvs+19h/MUPufclX6kQxKf8FV6TMZlP6qq9LnMyj9DVeln8qg9Hddlb7kyviyK+Nrroxfc2X8P+e+sdS+361HhjLwHi85Gtx0ZTzjyvimDNV8u6vSH3VlvJzB2mcy8L7gavAnXRl/35Xxs7us5tZ63ldDxmBtEGuLwWdBhrwQ/t/Kds1VyNCOyr73/LcHsov52H13ILuUj+xWsCZ7sbwpC/ZDVzDl+LbwM7xDfzX83CP+qtdeHwZ98DYktuPySQZ8nhuO986fzw/HufkNPMrtem3hIdgGZcXydpyDf2+G/wRr3t8dfo619GCNfDC8f3R57b7LKw8//sCNKw8tr/KjxzXzpJZ6BRKH2xIvrlxdW118eO2tS0ury9e3PdB9hlQvQmI/SXxs8dLV71tirrKbpHctr16/tHKVuSopJVVIUoefm8VA3kAoqzeUDaT7SX81H/0bGz4OhLKguyr6i0QzTnbUwnvszxgQvoBmUGTX6H/IHhTZaFF8VYinJ8RqoUMYVKnOrO8A6evgM35O2xs/WQcIw5x8Psc+h37oQvwM/q+JTQEmg2RTT+dsatVJH+uoiZ01sZP5/DcgXyXkxbUQvrcyXmxP3bEeXT/ZfF0888Ez+B+xiGOjxrIDhizQMz/zBVeFdHY45rfiYj509nt59TmbMb+WgFOAyZDYVKcybp9DImtIZDGf/wbn6+LyrY1LzduZK6WNcQdIhsqq7lJWVWRVhQ+yPJHlGbLUBitHTiMriKk6bl8I/29lvLjOHLcwfmBfDIudw0adQT9MdR52qHPdsMHqb9LKAt8QybrDURb4+knWQQdZgV9HiL6D47G5Otk0QnYeErsCG0bJhg62rfk4DEYJw0P56N/or0dF/yHxQYDJYbGpTmWchx4WWYdFVif5amQP46P1GTVkHZL6fCvIqgofZHkiyzNkqQ3BM8E+WwjfW7u77taCwMYjYlOg6yjZ28H2fz6u/tDZTzbl8fwdFf1HBP8AkzGxqU5l/ByNiawxkbWffGgvNaoH46o4HDVkgR6fVYUPsjyR5Rmy1Aar7aWVBT7uOw87ygIf8tqg/Y+RjA62v3OB7GP5yN5YBzqej+yNtbFxwq+TeJzIx+aNNResq6CdBKsgN0kf1gqKXvu7iB75qEg031lqy/h8WFajzw+TXKxm+KJnkOSC5q/Dd2t+PKjDuFGHl2PqAPoxow4HqQ6vUh2s51z7roq3fW1lr/oF6Oz3cssL5xhH6Nd+Ifi8nI/+jby0T/RrjoHvvcJO2NJHPMGF54lj7ijVgfv2Ds71z3EsZR1HEupl1V3je41kMy1kFT07zz1CMjmP4+cQNK+H79ZzyHlh3Ji+RvfDVKbjRp7zvIPKYMtBKsM9t/2DdO97279XHVycQ1qyqruUVRVZruNLHgP6JKtPePN+1qLshM5+b/vadqdjTVn09wlOVW/nc16nMp7b0rhVEVmd5Kt5O+OOVZ+yIatP6lMVPsjyRJZnyFIbuB9mu9LUEfQVsov5ICuNXRXDrpJhV0lklWLsKpFdzAdZaewqGXYh1+FxblFkFQ1ZoN+2Z8Vzs0ttCOwqiK09VAZZBUMW6AtkF/NBVhq71IbArw2S0cF4cE8geyIf2eej8sepnra+ybBc88calYPmiWJbxkxPm25U8Eo7ZwL6Ts6ZcBsfMewaEVkjMXbxPCXzQVYau0YMu2qGXWnWAlgG7Mq6FsAyJw27JkXWZIxdk2QX80FWGrvUhqg2vEBtGLTahoepHDT/6bdlXKQ2DForXypTGe4rVFYhu1BWIt0ow32BynBvzUGOUBnf4x33cbjnt8/s/FycT3m/2WQu+jdzqaro1/bJ+SVouc3yeqaOQzQvY766I99e67td+IYc+br+6/qv67+u/7r+c+Pr+q/rv67/uv7r+s+Nr+u/rv+6/uv6r+u/zYvXQCdJls7TVA1ZPI+Fd5f9yXXDhhrZynalqaPOSVbovrNzWkvz/D1pj/RN5aMvdu8FdPZ729cOOz2HNyX6ffFBUP/pnPDuIdnQPy31D3zSlLKAbya8x7wzaKbJftDMEF+R/u8PK1knfn4GUeaJDmATzDP7vW16xVLX8636lg0a1VsxaGaEpmTQnBSaokEzKzQFg+aU0Fj7SO4UmhGD5i6hqRk0p4VG22PQHs54268An7MkY6+eUejsJ5vyeEbPiv4zgkmwnwXt6NHltQdW1pa3zgpg/lepDO9aP9DUqYz3dw4TL9p7gcqmjbKmUTZjlJ00ymaNslNG2Z1G2V1SFlz8nZEBuue9Uty/oD1auHhE1+vtxBPlbFMnP/dylN3pz1HmR9z3Snlc2wzKeQ+U9UwENLrXAzycL6E98NkquNfvjhZIBssuEO1Box6lFLb6QgOe42Sr7t/K8fyZe6PWfmeov8OzoWu/fM4FaJp+W8ap3nadeE86yuJyWNQzbQ6LMo8wy2dNdv5CXF9xK63JHhab6l727yoNOvLV3+B8Q3usr+uHrh+6fuj6oeuH24Ov64euH7p+6Pqh64e91df1Q9cPLn64VdfYOrHvH3XkMy86PEdxIWpe6S9oXom/Wxo1rwSaHyi0ZfwVzSs1vDYuKEuDWX7fi5+LXUs4QXXMc37ohOi35ofGxaY6lfHzMy6yxkUW8w068nX1dfV19d2++oK4izjCcU3j0AlDFujxWVX4IMsTWZ4hS23g79zdQfInwnvum4qFti7UD33ThMgtEs0A9U3lQlvvuFEvrJNt8Sboqxr6Bknf98foC+Ty+UUsF/1+0A/mdBbUxtmtOKfCD19HRH+RaEYJf3xfGWek65lLnD9ANngmSPaoyI46Iz2f87jm7+G6FKUuR6kcNGMxdrIs1LsR3vcSjZ47tSU7fLfOo7Fkg/64IbskNFxH0EzuI+aaWx6S+nLbmEnAXL9n3Qjv4zDX8+UCzNXvjLk+nzgfKcez4lrWM3RU9DNOc/R8Yo0az+ch4QtoRkQ2ePj5HBHZUW0ln3OJ5ua5LtpWuA2B5nyMnfwbJONku1/OxfbzgdgvlNq6t9o26dP9E3oGndW+wQMc6kTDfYXmCaDneAH6ktBwfweahYQ2kE8/ZbeBcakvt4G3JcSLNJjrmU0HBZc60SBu8FmufG4i+nt8xnmB5Sc8f+ynMeJlGvYTaB5IeAaUV3Mr3lfoC11w6Rm5nY55hwgLn3TxeQKgeZDsRn0R80aFj30P2cOCBbejBxPaez5n5J5vcV2Knt1fFYnmRxLau54Rree6WbkFePhMhhHDBpQtUs57wm/LvZ3a0qUc29KlBB/pmSzQxzGA4wfTjBh1uZLQdnn/aKfbrsZq2Dds4PLELmO11Xa1fesZ2zXChesdhfkxQ38c5qB5ah8x57OKojAHzXsTMNdzeNJgXhNceJ9kGszHDP1xmIPmA/uI+QGyJwpz0HwoAXP9rZc0mB8QXPg8nDSYnzD0x2EOmp/dR8wHyJ4ozEHz0QTMBwSXNJgPCC68dzkN5hOG/jjMQfP0PmKu5+tamIPm2QTMk86YtTCvCC41wiUN5g1DfxzmoPn4PmJeJnuiMAfNCwmY69mUaTAvCy58xlcazA8b+uMwB80nEjDP50xUO+eGfewL0LzYgZxb/TIsuPA5aHz+Gj6fNPSp7f2G7X8QYzufA1eN0cnnwLEd/N1Rbkc8n+0TfafzfXy3zqcX6y8SzWcp358Ky5Dv9wlfj9deG4Bc8HD7KIjsNL/52em51SLZw3XxDQw+l3K+bJhtz2W+bP6Czpdt4Ur6imQft69ewZNpwMPf7wYNj+H1mQV93BgMNPz8gebVfZk/sNvAsNSX28CXEmJZGsx1/qAouNSJhs/QBn4c16PiIvtBx2XDIofHZa8l+EG/K7YQ/t/KdNl+KAsG7Id/2qUf9Hv61ni5KLjUve3newYX/x4Yf+dSx4GQwX4AfUloeDwKmn9L8EM+5wnYftCzX9kPX9+lH/Q31xgX0PAZqMFVJxr+LTXgxzlW1Fib/aDjNx0H8vjtGwl+yOe3OuPjEo+lQfO/HYhLOq624hJoMKbgM4U5Lul40YpLmusOi2zOdX1/uy185Zfr2n4YkPqyH8oxdlp+sM4T0JheFFzq3s5zhTku8e/XalyCDPaDjvMGRA6P8+oJfsjnN1/i4xKPuUFzcJd+sOKSjr+tuAQaPpPcGm/ruiTGCOwHncsbEdk8l3cspn6815bbzKTIi1p/gI3jho2a040bNoJmKsbGqsGre2qjvqvN8Q80s35bxitUJ5ynoGsqE+F74L9TVL9Oj7FwxgPGQadEf5FoWmQ3nyvhUz14TmxWZIOH11RmRXbU86DnpWBe/y6igZ0loTll1GU+IU7cSXI7h/nm+TwnyR7G/E4qB829CbjoeTRnwvteAxfQnBRcgmf2LrHBkg3644bsktBwHUHzlgTMZ0lupzGfIXsYg1kqB83FBMz1nCALcz0DaEZwqREufB4L6LT9FYiX9ReI9qTwxPnwmFGfOB+C5v6EmHlKynrkf5/ueS8p+HgP14yUWdjPGLJAP0N2IQ7zHtR3UjzjduATPf/uHGi+RLH8Qb9tL3j4uTpl1EHj+amYOjCttqnTwmf5GzxDhk0nY/gs2Yo9ePg8Fejjs4hwz8835uCi2vSsYWNPhB2WrU2hAc8xshWym1QGWXyeCbcx7qN538M00Xe6j25SPXzSxfseQPMEtWnMUxcEA973MCWywcN99JTIjorfzVww2JzP571hXJcmlYPmRkKMwjzoabI9n3nQ83M6Dwrf8Tyo7k8DTVx7Bg9wqBMN72HVs99AH7dvEDSc34Lm/QltIJ99g+e3PQcao7ltgOYnE/pwxdPCXP3SFFx43yBiauBj4McxQfNXyGA/8HPNNJy/guanE/yQTzyy/XBK6st++Pld+kH7c8YFNE3BpU406De4z+ezKrUPtXLaqHzIyhU/luAH1p23H7TvZT88s0s/pOn/m4JL3duZ53JOeJpkReUp7AfQl4SG81LQfDzBD6w7bz+clPqyH17YpR80N7RielNwqRMNr88AP84pNS5pTsc2lTx7/Mj1++Q+5gg6HwP72D+g+Z0EPyjGwC6uT9Z4zX0yxteBH3TsmTYuQUZcXALNZxL8wPMmefthVjBgP/zxLv0A7HoNXECzNecWvteJBnsAOC7FjYOyxqWb+xiXGO+ouASav0zwg2KcJi7dJbhwXMKchRWXeH4Yn+m8qeqy5oL1eQGNVf+/TRgzKC+f21nz7NgaNU7l9qaxVXMWjq1/vy853+b82RTZw3ka53yg+UpCW9Izva35M835pgSXmrfzfPL8zpVvneuRurKvGBvQfDXlGHSWbM9nDNqa1zHoVtsifYq3lYer38DD4yHQcD8fNW8Vl2NoDOfn4D9isOW5RGv+j+MJz//x3gGOFbzmDpr/Tmjfum/OWtPJqZ22IM/z2nM6U6K/SDQ9xbYdwFf3zfGazrTIBg/PF02L7L3dN9d6xMrJrX1zWzQxdlp5np5DxJiDBjzQG8QrnmuLkm3tUwO97lPTOgbXgQTM8+kjNjHXNRaNzzxuridgrn2nhXlUzOL5XF9siMM8bk3Ewhw0o/uIua4lWpiDZiwBc81902BuzaFb819RmI8Z+uMwB83kPmKua0UW5ltzMQmYa9+YBvNZwYXXMtJgfsLQH4c5aM4kYJ7P+u0m5pp76dwT9ztzCZgrnhbm6pdpwYV/f4ltQIy/J7QhwPXxYpsH/NhTknfOqm0V/TTnrKB5cwxunLM2yfa9ylm3/E/6onwUl7OCh7/7r/0yn8EAmTW6H+H6e7nUP9Z3nMOA5ntT+o7HSnvlu61YEuM70MTlVJbvQMPrYPAPP6t8j/rn1EfE+s7qI955Cz931lgxam9Lmj6LfQcanh+Cf3icj/tJqn8+88jxvrP6xIdS+m6GbN8r323lhjG+s+ZTNW+wfKfjG96/yXnc4zS+1H301pydjnXGRQ+PdVYSsFfeQOZCT1vXpMgEPe8rBs1aQk4BOh3zN8L3vPeI6D6OadHPucl7ySe8T8enejTI1qbIBg+P+ZsiOypHzCfXmbvbGn+iLpzrgOb9uxx/Wr/Pp7mFxinOGaZiZIP+uCG7JDRcR9B8KAHzfGLlJuY6/rT25YDmw7scf1qYa2zS/WM8z8L1jsL8mKE/DnPQfHQfMdf+ycIcNL+4y/FnGsx1n4G1ly4O8zFDfxzmoHl2HzHnte4ozEHzawmY65p7Gsx1TpvXnNJgfsLQH4c5aF7YR8x5P3wU5qD5zQTMdQ98GszvFFx472wazCcM/XGYg+bFBMzz+W7CJuaMLWPOvgDN7yVgrnim+Y3bpuDCZwqzDehXP0PzLIOlNg/4yyQHsvk8TZ3XAab54bw5xtC1+WmjjqD5k1t4jGGN7XWvgDW2V7+DBzjUiWaKyuBPa2xfoTLIYV9PiQ72dT779Gxf61o2+/qV22wOTn1tzcFpfAQP+1X3DfJ3F605uBKVgYd93RR57Os851vV102pK/v6K7fwnJ01d6C+tuYOdEwEHuDA8628Pwv+5O9H8dgCZVYMt/Ig+DrPOT71NezgOT7QfD2lr1Hn2yGGTwsNeNivoJmkMvjTiuEFKrOea51jYl/ntP5k+npS6sq+/v9bOIa7Ptc6TgQP+9Xaxwd/Ws81n9XCY6JeouHzZKGrJDQ8NgPNgbDOUXuEDgov54+sK7ii5ip1jgY0PK8ImuEYe6oGb0A+Fc5V8nlt/P2aMulh/XzeAGgOl9pyL5R2ysV3hvgssKMkr0R6O9k+ezxvx7kJ+v26ItGMx+DIsrxQFurCbbkkNFuyCQOeM1ZcRvPHZSPmFFLgApqZBFwK3u5xKRi4FMUGz9t+HgjP0wdXhe7zaDtRGHGbAs3ZhGcQcblCtucUl3f8nsAWbqRPfcb7CkGj7V19xv1tmcrwbHM7v0DxryJyrfhXJt6k+PPmlPGPz3p52dtpD/yMOvFvZ4BmgWLd04RxZbvaHM/l2Xx++fLpHjr7vbzOo9n8Xbqy6IcutB/rzDY+y2qcbNO1O22LzIc2mN85YK27OV5pm+AYBJr7E+Kjxj7FysKA9QcX9xG87xOyDhv6fG97+x40bH9HjO1RuQHL5/qMGfKv0fPyoJEb8O8G9ImuGslBWcA3QbZ0+rnSdVvon6By0PzYrRPzd+TiDdhL+jTvBA23wwmh4ZwxuOpEw/OfqGODZGmc13Zf97avYUfxWfuWtX/oEzncP1xJyNf1/Gf+7jX3GVa85zM/VqmP0z0F1jMCml+hZ+RGymcEfWzV2x5fYHPDa9vSydwiru+Bzn4vt9x1o+9piH7tL3KMEfPWc1QS/UGbGCY7Ycsk8QQX1s3Yr/wcaP9m9Yug70spy3OUVdqlrJLI2u94aOXAkwn1iIuHQ1RXKx5qX23lTDpO4jzHklXapaySyOJYx3urjop8jn/H6bOnY3L4otBbMZrHbZ63PUY/m9CXKm9AfjO8t3IHK4fT9s15ynMUg18q7ZTLcxglKdureKP1sHKSX0/IRZNiV1yb5zWwhtjAuIzmj8s5niOLwwU0v52Ay5QDLlNUT2Cg6/Oet71/boTvjGmDdHS67URh1KBy0Hw6ZT7L/ctezWFsPQOkT33G+yRB0xAa9RnnoBz/tn77lD57ycjvIBfyOP6ViDcp/vxZAvbKy/nmxlg4Hz9s/sZIuW2vT7rgi16iKZMdRfr/Fe47qPPamFdCuwrfN2IJcoVyNJ8vfHWiKRFfn/D1kd0btOuvz4X2DYj+giEH496SyCkSzRepP/k7asdFkRt89LrxOa64fNunfKqSo//7xf/Q5VP9QdMv/sf//0z+H4jwf4X8j3YzUI7mKwpfnWjKMe2mYvj/y6F9/d72GNPJsQv7Omhn3wTpD/mV4fsAAA==","debug_symbols":"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","debug_symbols":"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","brillig_names":["get_contract_instance_internal","get_public_keys_and_partial_address","random","decompose_hint","notify_created_note_oracle_wrapper","get_key_validation_request","lt_32_hint","lte_16_hint","build_msg_block_iter","pad_msg_block","attach_len_to_msg_block","build_msg_block_iter","emit_encrypted_note_log_oracle_wrapper","directive_invert","directive_integer_quotient"]}],"outputs":{"structs":{"functions":[{"kind":"struct","path":"Profile::mint_abi","fields":[{"name":"parameters","type":{"kind":"struct","path":"Profile::mint_parameters","fields":[{"name":"amount","type":{"kind":"integer","sign":"unsigned","width":64}},{"name":"owner","type":{"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress","fields":[{"name":"inner","type":{"kind":"field"}}]}},{"name":"outgoing_viewer","type":{"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress","fields":[{"name":"inner","type":{"kind":"field"}}]}}]}}]},{"kind":"struct","path":"Profile::update_is_adult_abi","fields":[{"name":"parameters","type":{"kind":"struct","path":"Profile::update_is_adult_parameters","fields":[{"name":"amount","type":{"kind":"integer","sign":"unsigned","width":64}},{"name":"owner","type":{"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress","fields":[{"name":"inner","type":{"kind":"field"}}]}},{"name":"recipient","type":{"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress","fields":[{"name":"inner","type":{"kind":"field"}}]}}]}}]},{"kind":"struct","path":"Profile::constructor_abi","fields":[{"name":"parameters","type":{"kind":"struct","path":"Profile::constructor_parameters","fields":[{"name":"initial_supply","type":{"kind":"integer","sign":"unsigned","width":64}},{"name":"owner","type":{"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress","fields":[{"name":"inner","type":{"kind":"field"}}]}},{"name":"outgoing_viewer","type":{"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress","fields":[{"name":"inner","type":{"kind":"field"}}]}}]}}]},{"kind":"struct","path":"Profile::mintNFT_abi","fields":[{"name":"parameters","type":{"kind":"struct","path":"Profile::mintNFT_parameters","fields":[{"name":"to","type":{"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress","fields":[{"name":"inner","type":{"kind":"field"}}]}},{"name":"token_id","type":{"kind":"field"}},{"name":"is_adult","type":{"kind":"boolean"}}]}}]}]},"globals":{"notes":[{"kind":"tuple","fields":[{"kind":"integer","sign":false,"value":"00000000000000000000000000000000000000000000000000000000fcb2be2b"},{"kind":"string","value":"ProfileNFT"},{"kind":"struct","fields":[{"name":"is_adult","value":{"kind":"struct","fields":[{"name":"index","value":{"kind":"integer","sign":false,"value":"0000000000000000000000000000000000000000000000000000000000000001"}},{"name":"nullable","value":{"kind":"boolean","value":false}}]}},{"name":"npk_m_hash","value":{"kind":"struct","fields":[{"name":"index","value":{"kind":"integer","sign":false,"value":"0000000000000000000000000000000000000000000000000000000000000002"}},{"name":"nullable","value":{"kind":"boolean","value":false}}]}},{"name":"token_id","value":{"kind":"struct","fields":[{"name":"index","value":{"kind":"integer","sign":false,"value":"0000000000000000000000000000000000000000000000000000000000000000"}},{"name":"nullable","value":{"kind":"boolean","value":true}}]}}]}]},{"kind":"tuple","fields":[{"kind":"integer","sign":false,"value":"000000000000000000000000000000000000000000000000000000003de78269"},{"kind":"string","value":"ValueNote"},{"kind":"struct","fields":[{"name":"value","value":{"kind":"struct","fields":[{"name":"index","value":{"kind":"integer","sign":false,"value":"0000000000000000000000000000000000000000000000000000000000000000"}},{"name":"nullable","value":{"kind":"boolean","value":false}}]}},{"name":"npk_m_hash","value":{"kind":"struct","fields":[{"name":"index","value":{"kind":"integer","sign":false,"value":"0000000000000000000000000000000000000000000000000000000000000001"}},{"name":"nullable","value":{"kind":"boolean","value":false}}]}},{"name":"randomness","value":{"kind":"struct","fields":[{"name":"index","value":{"kind":"integer","sign":false,"value":"0000000000000000000000000000000000000000000000000000000000000002"}},{"name":"nullable","value":{"kind":"boolean","value":false}}]}}]}]}],"storage":[{"kind":"struct","fields":[{"name":"contract_name","value":{"kind":"string","value":"Profile"}},{"name":"fields","value":{"kind":"struct","fields":[{"name":"balances","value":{"kind":"struct","fields":[{"name":"slot","value":{"kind":"integer","sign":false,"value":"0000000000000000000000000000000000000000000000000000000000000001"}}]}},{"name":"is_adult","value":{"kind":"struct","fields":[{"name":"slot","value":{"kind":"integer","sign":false,"value":"0000000000000000000000000000000000000000000000000000000000000002"}}]}},{"name":"profile_nfts","value":{"kind":"struct","fields":[{"name":"slot","value":{"kind":"integer","sign":false,"value":"0000000000000000000000000000000000000000000000000000000000000003"}}]}}]}}]}]}},"file_map":{"3":{"source":"use crate::cmp::{Eq, Ord};\nuse crate::convert::From;\nuse crate::runtime::is_unconstrained;\n\nmod check_shuffle;\nmod quicksort;\n\nimpl [T; N] {\n /// Returns the length of this array.\n /// \n /// ```noir\n /// fn len(self) -> Field\n /// ```\n /// \n /// example\n /// \n /// ```noir\n /// fn main() {\n /// let array = [42, 42];\n /// assert(array.len() == 2);\n /// }\n /// ```\n #[builtin(array_len)]\n pub fn len(self) -> u32 {}\n\n /// Returns this array as a slice.\n /// \n /// ```noir\n /// let array = [1, 2];\n /// let slice = array.as_slice();\n /// assert_eq(slice, &[1, 2]);\n /// ```\n #[builtin(as_slice)]\n pub fn as_slice(self) -> [T] {}\n\n /// Applies a function to each element of this array, returning a new array containing the mapped elements.\n /// \n /// Example:\n /// \n /// ```rust\n /// let a = [1, 2, 3];\n /// let b = a.map(|a| a * 2);\n /// assert_eq(b, [2, 4, 6]);\n /// ```\n pub fn map(self, f: fn[Env](T) -> U) -> [U; N] {\n let first_elem = f(self[0]);\n let mut ret = [first_elem; N];\n\n for i in 1..self.len() {\n ret[i] = f(self[i]);\n }\n\n ret\n }\n\n /// Applies a function to each element of the array, returning the final accumulated value. The first\n /// parameter is the initial value.\n /// \n /// This is a left fold, so the given function will be applied to the accumulator and first element of\n /// the array, then the second, and so on. For a given call the expected result would be equivalent to:\n /// \n /// ```rust\n /// let a1 = [1];\n /// let a2 = [1, 2];\n /// let a3 = [1, 2, 3];\n /// \n /// let f = |a, b| a - b;\n /// a1.fold(10, f); //=> f(10, 1)\n /// a2.fold(10, f); //=> f(f(10, 1), 2)\n /// a3.fold(10, f); //=> f(f(f(10, 1), 2), 3)\n /// \n /// assert_eq(a3.fold(10, f), 10 - 1 - 2 - 3);\n /// ```\n pub fn fold(self, mut accumulator: U, f: fn[Env](U, T) -> U) -> U {\n for elem in self {\n accumulator = f(accumulator, elem);\n }\n accumulator\n }\n\n /// Same as fold, but uses the first element as the starting element.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn main() {\n /// let arr = [1, 2, 3, 4];\n /// let reduced = arr.reduce(|a, b| a + b);\n /// assert(reduced == 10);\n /// }\n /// ```\n pub fn reduce(self, f: fn[Env](T, T) -> T) -> T {\n let mut accumulator = self[0];\n for i in 1..self.len() {\n accumulator = f(accumulator, self[i]);\n }\n accumulator\n }\n\n /// Returns true if all the elements in this array satisfy the given predicate.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn main() {\n /// let arr = [2, 2, 2, 2, 2];\n /// let all = arr.all(|a| a == 2);\n /// assert(all);\n /// }\n /// ```\n pub fn all(self, predicate: fn[Env](T) -> bool) -> bool {\n let mut ret = true;\n for elem in self {\n ret &= predicate(elem);\n }\n ret\n }\n\n /// Returns true if any of the elements in this array satisfy the given predicate.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn main() {\n /// let arr = [2, 2, 2, 2, 5];\n /// let any = arr.any(|a| a == 5);\n /// assert(any);\n /// }\n /// ```\n pub fn any(self, predicate: fn[Env](T) -> bool) -> bool {\n let mut ret = false;\n for elem in self {\n ret |= predicate(elem);\n }\n ret\n }\n}\n\nimpl [T; N] where T: Ord + Eq {\n /// Returns a new sorted array. The original array remains untouched. Notice that this function will\n /// only work for arrays of fields or integers, not for any arbitrary type. This is because the sorting\n /// logic it uses internally is optimized specifically for these values. If you need a sort function to\n /// sort any type, you should use the `sort_via` function.\n /// \n /// Example:\n /// \n /// ```rust\n /// fn main() {\n /// let arr = [42, 32];\n /// let sorted = arr.sort();\n /// assert(sorted == [32, 42]);\n /// }\n /// ```\n pub fn sort(self) -> Self {\n self.sort_via(|a: T, b: T| a <= b)\n }\n}\n\nimpl [T; N] where T: Eq {\n /// Returns a new sorted array by sorting it with a custom comparison function. \n /// The original array remains untouched. \n /// The ordering function must return true if the first argument should be sorted to be before the second argument or is equal to the second argument.\n /// \n /// Using this method with an operator like `<` that does not return `true` for equal values will result in an assertion failure for arrays with equal elements.\n /// \n /// Example:\n /// \n /// ```rust\n /// fn main() {\n /// let arr = [42, 32]\n /// let sorted_ascending = arr.sort_via(|a, b| a <= b);\n /// assert(sorted_ascending == [32, 42]); // verifies\n /// \n /// let sorted_descending = arr.sort_via(|a, b| a >= b);\n /// assert(sorted_descending == [32, 42]); // does not verify\n /// }\n /// ```\n pub fn sort_via(self, ordering: fn[Env](T, T) -> bool) -> Self {\n unsafe {\n // Safety: `sorted` array is checked to be:\n // a. a permutation of `input`'s elements\n // b. satisfying the predicate `ordering`\n let sorted = quicksort::quicksort(self, ordering);\n\n if !is_unconstrained() {\n for i in 0..N - 1 {\n assert(\n ordering(sorted[i], sorted[i + 1]), \"Array has not been sorted correctly according to `ordering`.\"\n );\n }\n check_shuffle::check_shuffle(self, sorted);\n }\n sorted\n }\n }\n}\n\nimpl [u8; N] {\n /// Converts a byte array of type `[u8; N]` to a string. Note that this performs no UTF-8 validation -\n /// the given array is interpreted as-is as a string.\n /// \n /// Example:\n /// \n /// ```rust\n /// fn main() {\n /// let hi = [104, 105].as_str_unchecked();\n /// assert_eq(hi, \"hi\");\n /// }\n /// ```\n #[builtin(array_as_str_unchecked)]\n pub fn as_str_unchecked(self) -> str {}\n}\n\nimpl From> for [u8; N] {\n /// Returns an array of the string bytes.\n fn from(s: str) -> Self {\n s.as_bytes()\n }\n}\n","path":"std/array/mod.nr"},"7":{"source":"use crate::{cmp::Eq, convert::From};\n\n/// A `BoundedVec` is a growable storage similar to a `Vec` except that it\n/// is bounded with a maximum possible length. Unlike `Vec`, `BoundedVec` is not implemented\n/// via slices and thus is not subject to the same restrictions slices are (notably, nested\n/// slices - and thus nested vectors as well - are disallowed).\n/// \n/// Since a BoundedVec is backed by a normal array under the hood, growing the BoundedVec by\n/// pushing an additional element is also more efficient - the length only needs to be increased\n/// by one.\n/// \n/// For these reasons `BoundedVec` should generally be preferred over `Vec` when there\n/// is a reasonable maximum bound that can be placed on the vector.\n/// \n/// Example:\n/// \n/// ```noir\n/// let mut vector: BoundedVec = BoundedVec::new();\n/// for i in 0..5 {\n/// vector.push(i);\n/// }\n/// assert(vector.len() == 5);\n/// assert(vector.max_len() == 10);\n/// ```\npub struct BoundedVec {\n storage: [T; MaxLen],\n len: u32,\n}\n\nimpl BoundedVec {\n /// Creates a new, empty vector of length zero.\n ///\n /// Since this container is backed by an array internally, it still needs an initial value\n /// to give each element. To resolve this, each element is zeroed internally. This value\n /// is guaranteed to be inaccessible unless `get_unchecked` is used.\n ///\n /// Example:\n ///\n /// ```noir\n /// let empty_vector: BoundedVec = BoundedVec::new();\n /// assert(empty_vector.len() == 0);\n /// ```\n ///\n /// Note that whenever calling `new` the maximum length of the vector should always be specified\n /// via a type signature:\n ///\n /// ```noir\n /// fn good() -> BoundedVec {\n /// // Ok! MaxLen is specified with a type annotation\n /// let v1: BoundedVec = BoundedVec::new();\n /// let v2 = BoundedVec::new();\n ///\n /// // Ok! MaxLen is known from the type of `good`'s return value\n /// v2\n /// }\n ///\n /// fn bad() {\n /// // Error: Type annotation needed\n /// // The compiler can't infer `MaxLen` from the following code:\n /// let mut v3 = BoundedVec::new();\n /// v3.push(5);\n /// }\n /// ```\n ///\n /// This defaulting of `MaxLen` (and numeric generics in general) to zero may change in future noir versions\n /// but for now make sure to use type annotations when using bounded vectors. Otherwise, you will receive a \n /// constraint failure at runtime when the vec is pushed to.\n pub fn new() -> Self {\n let zeroed = crate::mem::zeroed();\n BoundedVec { storage: [zeroed; MaxLen], len: 0 }\n }\n\n /// Retrieves an element from the vector at the given index, starting from zero.\n /// \n /// If the given index is equal to or greater than the length of the vector, this\n /// will issue a constraint failure.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn foo(v: BoundedVec) {\n /// let first = v.get(0);\n /// let last = v.get(v.len() - 1);\n /// assert(first != last);\n /// }\n /// ```\n pub fn get(self, index: u32) -> T {\n assert(index < self.len, \"Attempted to read past end of BoundedVec\");\n self.get_unchecked(index)\n }\n\n /// Retrieves an element from the vector at the given index, starting from zero, without\n /// performing a bounds check.\n /// \n /// Since this function does not perform a bounds check on length before accessing the element,\n /// it is unsafe! Use at your own risk!\n /// \n /// Example:\n /// \n /// ```noir\n /// fn sum_of_first_three(v: BoundedVec) -> u32 {\n /// // Always ensure the length is larger than the largest\n /// // index passed to get_unchecked\n /// assert(v.len() > 2);\n /// let first = v.get_unchecked(0);\n /// let second = v.get_unchecked(1);\n /// let third = v.get_unchecked(2);\n /// first + second + third\n /// }\n /// ```\n pub fn get_unchecked(self, index: u32) -> T {\n self.storage[index]\n }\n\n /// Writes an element to the vector at the given index, starting from zero.\n /// \n /// If the given index is equal to or greater than the length of the vector, this will issue a constraint failure.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn foo(v: BoundedVec) {\n /// let first = v.get(0);\n /// assert(first != 42);\n /// v.set(0, 42);\n /// let new_first = v.get(0);\n /// assert(new_first == 42);\n /// }\n /// ```\n pub fn set(&mut self, index: u32, value: T) {\n assert(index < self.len, \"Attempted to write past end of BoundedVec\");\n self.set_unchecked(index, value)\n }\n\n /// Writes an element to the vector at the given index, starting from zero, without performing a bounds check.\n /// \n /// Since this function does not perform a bounds check on length before accessing the element, it is unsafe! Use at your own risk!\n /// \n /// Example:\n /// \n /// ```noir\n /// fn set_unchecked_example() {\n /// let mut vec: BoundedVec = BoundedVec::new();\n /// vec.extend_from_array([1, 2]);\n /// \n /// // Here we're safely writing within the valid range of `vec`\n /// // `vec` now has the value [42, 2]\n /// vec.set_unchecked(0, 42);\n /// \n /// // We can then safely read this value back out of `vec`.\n /// // Notice that we use the checked version of `get` which would prevent reading unsafe values.\n /// assert_eq(vec.get(0), 42);\n /// \n /// // We've now written past the end of `vec`.\n /// // As this index is still within the maximum potential length of `v`,\n /// // it won't cause a constraint failure. \n /// vec.set_unchecked(2, 42);\n /// println(vec);\n /// \n /// // This will write past the end of the maximum potential length of `vec`,\n /// // it will then trigger a constraint failure.\n /// vec.set_unchecked(5, 42);\n /// println(vec);\n /// }\n /// ```\n pub fn set_unchecked(&mut self, index: u32, value: T) {\n self.storage[index] = value;\n }\n\n /// Pushes an element to the end of the vector. This increases the length\n /// of the vector by one.\n /// \n /// Panics if the new length of the vector will be greater than the max length.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// \n /// v.push(1);\n /// v.push(2);\n /// \n /// // Panics with failed assertion \"push out of bounds\"\n /// v.push(3);\n /// ```\n pub fn push(&mut self, elem: T) {\n assert(self.len < MaxLen, \"push out of bounds\");\n\n self.storage[self.len] = elem;\n self.len += 1;\n }\n\n /// Returns the current length of this vector\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// assert(v.len() == 0);\n /// \n /// v.push(100);\n /// assert(v.len() == 1);\n /// \n /// v.push(200);\n /// v.push(300);\n /// v.push(400);\n /// assert(v.len() == 4);\n /// \n /// let _ = v.pop();\n /// let _ = v.pop();\n /// assert(v.len() == 2);\n /// ```\n pub fn len(self) -> u32 {\n self.len\n }\n\n /// Returns the maximum length of this vector. This is always\n /// equal to the `MaxLen` parameter this vector was initialized with.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// \n /// assert(v.max_len() == 5);\n /// v.push(10);\n /// assert(v.max_len() == 5);\n /// ```\n pub fn max_len(_self: BoundedVec) -> u32 {\n MaxLen\n }\n\n /// Returns the internal array within this vector.\n /// \n /// Since arrays in Noir are immutable, mutating the returned storage array will not mutate\n /// the storage held internally by this vector.\n /// \n /// Note that uninitialized elements may be zeroed out!\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// \n /// assert(v.storage() == [0, 0, 0, 0, 0]);\n /// \n /// v.push(57);\n /// assert(v.storage() == [57, 0, 0, 0, 0]);\n /// ```\n pub fn storage(self) -> [T; MaxLen] {\n self.storage\n }\n\n /// Pushes each element from the given array to this vector.\n /// \n /// Panics if pushing each element would cause the length of this vector\n /// to exceed the maximum length.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut vec: BoundedVec = BoundedVec::new();\n /// vec.extend_from_array([2, 4]);\n /// \n /// assert(vec.len == 2);\n /// assert(vec.get(0) == 2);\n /// assert(vec.get(1) == 4);\n /// ```\n pub fn extend_from_array(&mut self, array: [T; Len]) {\n let new_len = self.len + array.len();\n assert(new_len <= MaxLen, \"extend_from_array out of bounds\");\n for i in 0..array.len() {\n self.storage[self.len + i] = array[i];\n }\n self.len = new_len;\n }\n\n /// Pushes each element from the given slice to this vector.\n /// \n /// Panics if pushing each element would cause the length of this vector\n /// to exceed the maximum length.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut vec: BoundedVec = BoundedVec::new();\n /// vec.extend_from_slice(&[2, 4]);\n /// \n /// assert(vec.len == 2);\n /// assert(vec.get(0) == 2);\n /// assert(vec.get(1) == 4);\n /// ```\n pub fn extend_from_slice(&mut self, slice: [T]) {\n let new_len = self.len + slice.len();\n assert(new_len <= MaxLen, \"extend_from_slice out of bounds\");\n for i in 0..slice.len() {\n self.storage[self.len + i] = slice[i];\n }\n self.len = new_len;\n }\n\n /// Pushes each element from the other vector to this vector. The length of\n /// the other vector is left unchanged.\n /// \n /// Panics if pushing each element would cause the length of this vector\n /// to exceed the maximum length.\n /// \n /// ```noir\n /// let mut v1: BoundedVec = BoundedVec::new();\n /// let mut v2: BoundedVec = BoundedVec::new();\n /// \n /// v2.extend_from_array([1, 2, 3]);\n /// v1.extend_from_bounded_vec(v2);\n /// \n /// assert(v1.storage() == [1, 2, 3, 0, 0]);\n /// assert(v2.storage() == [1, 2, 3, 0, 0, 0, 0]);\n /// ```\n pub fn extend_from_bounded_vec(&mut self, vec: BoundedVec) {\n let append_len = vec.len();\n let new_len = self.len + append_len;\n assert(new_len <= MaxLen, \"extend_from_bounded_vec out of bounds\");\n\n let mut exceeded_len = false;\n for i in 0..Len {\n exceeded_len |= i == append_len;\n if !exceeded_len {\n self.storage[self.len + i] = vec.get_unchecked(i);\n }\n }\n self.len = new_len;\n }\n\n /// Creates a new vector, populating it with values derived from an array input. \n /// The maximum length of the vector is determined based on the type signature.\n /// \n /// Example:\n /// \n /// ```noir\n /// let bounded_vec: BoundedVec = BoundedVec::from_array([1, 2, 3])\n /// ```\n pub fn from_array(array: [T; Len]) -> Self {\n assert(Len <= MaxLen, \"from array out of bounds\");\n let mut vec: BoundedVec = BoundedVec::new();\n vec.extend_from_array(array);\n vec\n }\n\n /// Pops the element at the end of the vector. This will decrease the length\n /// of the vector by one.\n /// \n /// Panics if the vector is empty.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// v.push(1);\n /// v.push(2);\n /// \n /// let two = v.pop();\n /// let one = v.pop();\n /// \n /// assert(two == 2);\n /// assert(one == 1);\n ///\n /// // error: cannot pop from an empty vector\n /// let _ = v.pop();\n /// ```\n pub fn pop(&mut self) -> T {\n assert(self.len > 0);\n self.len -= 1;\n\n let elem = self.storage[self.len];\n self.storage[self.len] = crate::mem::zeroed();\n elem\n }\n\n /// Returns true if the given predicate returns true for any element\n /// in this vector.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// v.extend_from_array([2, 4, 6]);\n /// \n /// let all_even = !v.any(|elem: u32| elem % 2 != 0);\n /// assert(all_even);\n /// ```\n pub fn any(self, predicate: fn[Env](T) -> bool) -> bool {\n let mut ret = false;\n let mut exceeded_len = false;\n for i in 0..MaxLen {\n exceeded_len |= i == self.len;\n if !exceeded_len {\n ret |= predicate(self.storage[i]);\n }\n }\n ret\n }\n\n /// Creates a new vector of equal size by calling a closure on each element in this vector. \n /// \n /// Example:\n /// \n /// ```noir\n /// let vec: BoundedVec = BoundedVec::from_array([1, 2, 3, 4]);\n /// let result = vec.map(|value| value * 2);\n /// \n /// let expected = BoundedVec::from_array([2, 4, 6, 8]);\n /// assert_eq(result, expected);\n /// ```\n pub fn map(self, f: fn[Env](T) -> U) -> BoundedVec {\n let mut ret = BoundedVec::new();\n ret.len = self.len();\n for i in 0..MaxLen {\n if i < self.len() {\n ret.storage[i] = f(self.get_unchecked(i));\n }\n }\n ret\n }\n}\n\nimpl Eq for BoundedVec where T: Eq {\n fn eq(self, other: BoundedVec) -> bool {\n // TODO: https://github.com/noir-lang/noir/issues/4837\n //\n // We make the assumption that the user has used the proper interface for working with `BoundedVec`s\n // rather than directly manipulating the internal fields as this can result in an inconsistent internal state.\n\n (self.len == other.len) & (self.storage == other.storage)\n }\n}\n\nimpl From<[T; Len]> for BoundedVec {\n fn from(array: [T; Len]) -> BoundedVec {\n BoundedVec::from_array(array)\n }\n}\n\nmod bounded_vec_tests {\n\n mod get {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test(should_fail_with = \"Attempted to read past end of BoundedVec\")]\n fn panics_when_reading_elements_past_end_of_vec() {\n let vec: BoundedVec = BoundedVec::new();\n\n crate::println(vec.get(0));\n }\n }\n\n mod set {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn set_updates_values_properly() {\n let mut vec = BoundedVec::from_array([0, 0, 0, 0, 0]);\n\n vec.set(0, 42);\n assert_eq(vec.storage, [42, 0, 0, 0, 0]);\n\n vec.set(1, 43);\n assert_eq(vec.storage, [42, 43, 0, 0, 0]);\n\n vec.set(2, 44);\n assert_eq(vec.storage, [42, 43, 44, 0, 0]);\n\n vec.set(1, 10);\n assert_eq(vec.storage, [42, 10, 44, 0, 0]);\n\n vec.set(0, 0);\n assert_eq(vec.storage, [0, 10, 44, 0, 0]);\n }\n\n #[test(should_fail_with = \"Attempted to write past end of BoundedVec\")]\n fn panics_when_writing_elements_past_end_of_vec() {\n let mut vec: BoundedVec = BoundedVec::new();\n vec.set(0, 42);\n\n // Need to use println to avoid DIE removing the write operation.\n crate::println(vec.get(0));\n }\n }\n\n mod map {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn applies_function_correctly() {\n // docs:start:bounded-vec-map-example\n let vec: BoundedVec = BoundedVec::from_array([1, 2, 3, 4]);\n let result = vec.map(|value| value * 2);\n // docs:end:bounded-vec-map-example\n let expected = BoundedVec::from_array([2, 4, 6, 8]);\n\n assert_eq(result, expected);\n }\n\n #[test]\n fn applies_function_that_changes_return_type() {\n let vec: BoundedVec = BoundedVec::from_array([1, 2, 3, 4]);\n let result = vec.map(|value| (value * 2) as Field);\n let expected: BoundedVec = BoundedVec::from_array([2, 4, 6, 8]);\n\n assert_eq(result, expected);\n }\n\n #[test]\n fn does_not_apply_function_past_len() {\n let vec: BoundedVec = BoundedVec::from_array([0, 1]);\n let result = vec.map(|value| if value == 0 { 5 } else { value });\n let expected = BoundedVec::from_array([5, 1]);\n\n assert_eq(result, expected);\n assert_eq(result.storage()[2], 0);\n }\n }\n\n mod from_array {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn empty() {\n let empty_array: [Field; 0] = [];\n let bounded_vec = BoundedVec::from_array([]);\n\n assert_eq(bounded_vec.max_len(), 0);\n assert_eq(bounded_vec.len(), 0);\n assert_eq(bounded_vec.storage(), empty_array);\n }\n\n #[test]\n fn equal_len() {\n let array = [1, 2, 3];\n let bounded_vec = BoundedVec::from_array(array);\n\n assert_eq(bounded_vec.max_len(), 3);\n assert_eq(bounded_vec.len(), 3);\n assert_eq(bounded_vec.storage(), array);\n }\n\n #[test]\n fn max_len_greater_then_array_len() {\n let array = [1, 2, 3];\n let bounded_vec: BoundedVec = BoundedVec::from_array(array);\n\n assert_eq(bounded_vec.max_len(), 10);\n assert_eq(bounded_vec.len(), 3);\n assert_eq(bounded_vec.storage()[0], 1);\n assert_eq(bounded_vec.storage()[1], 2);\n assert_eq(bounded_vec.storage()[2], 3);\n }\n\n #[test(should_fail_with=\"from array out of bounds\")]\n fn max_len_lower_then_array_len() {\n let _: BoundedVec = BoundedVec::from_array([0; 3]);\n }\n }\n\n mod trait_from {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn simple() {\n let array = [1, 2];\n let bounded_vec: BoundedVec = BoundedVec::from(array);\n\n assert_eq(bounded_vec.max_len(), 10);\n assert_eq(bounded_vec.len(), 2);\n assert_eq(bounded_vec.storage()[0], 1);\n assert_eq(bounded_vec.storage()[1], 2);\n }\n }\n\n mod trait_eq {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn empty_equality() {\n let mut bounded_vec1: BoundedVec = BoundedVec::new();\n let mut bounded_vec2: BoundedVec = BoundedVec::new();\n\n assert_eq(bounded_vec1, bounded_vec2);\n }\n\n #[test]\n fn inequality() {\n let mut bounded_vec1: BoundedVec = BoundedVec::new();\n let mut bounded_vec2: BoundedVec = BoundedVec::new();\n bounded_vec1.push(1);\n bounded_vec2.push(2);\n\n assert(bounded_vec1 != bounded_vec2);\n }\n }\n}\n","path":"std/collections/bounded_vec.nr"},"24":{"source":"use crate::ops::arith::{Add, Sub, Neg};\nuse crate::cmp::Eq;\n\n/// A point on the embedded elliptic curve\n/// By definition, the base field of the embedded curve is the scalar field of the proof system curve, i.e the Noir Field.\n/// x and y denotes the Weierstrass coordinates of the point, if is_infinite is false.\npub struct EmbeddedCurvePoint {\n x: Field,\n y: Field,\n is_infinite: bool\n}\n\nimpl EmbeddedCurvePoint {\n /// Elliptic curve point doubling operation\n /// returns the doubled point of a point P, i.e P+P\n pub fn double(self) -> EmbeddedCurvePoint {\n embedded_curve_add(self, self)\n }\n\n /// Returns the null element of the curve; 'the point at infinity'\n pub fn point_at_infinity() -> EmbeddedCurvePoint {\n EmbeddedCurvePoint { x: 0, y: 0, is_infinite: true }\n }\n}\n\nimpl Add for EmbeddedCurvePoint {\n /// Adds two points P+Q, using the curve addition formula, and also handles point at infinity\n fn add(self, other: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n embedded_curve_add(self, other)\n }\n}\n\nimpl Sub for EmbeddedCurvePoint {\n /// Points subtraction operation, using addition and negation\n fn sub(self, other: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n self + other.neg()\n }\n}\n\nimpl Neg for EmbeddedCurvePoint {\n /// Negates a point P, i.e returns -P, by negating the y coordinate.\n /// If the point is at infinity, then the result is also at infinity.\n fn neg(self) -> EmbeddedCurvePoint {\n EmbeddedCurvePoint { x: self.x, y: -self.y, is_infinite: self.is_infinite }\n }\n}\n\nimpl Eq for EmbeddedCurvePoint {\n /// Checks whether two points are equal\n fn eq(self: Self, b: EmbeddedCurvePoint) -> bool {\n (self.is_infinite & b.is_infinite)\n | ((self.is_infinite == b.is_infinite) & (self.x == b.x) & (self.y == b.y))\n }\n}\n\n/// Scalar for the embedded curve represented as low and high limbs\n/// By definition, the scalar field of the embedded curve is base field of the proving system curve.\n/// It may not fit into a Field element, so it is represented with two Field elements; its low and high limbs.\npub struct EmbeddedCurveScalar {\n lo: Field,\n hi: Field,\n}\n\nimpl EmbeddedCurveScalar {\n pub fn new(lo: Field, hi: Field) -> Self {\n EmbeddedCurveScalar { lo, hi }\n }\n\n #[field(bn254)]\n pub fn from_field(scalar: Field) -> EmbeddedCurveScalar {\n let (a,b) = crate::field::bn254::decompose(scalar);\n EmbeddedCurveScalar { lo: a, hi: b }\n }\n\n //Bytes to scalar: take the first (after the specified offset) 16 bytes of the input as the lo value, and the next 16 bytes as the hi value\n #[field(bn254)]\n pub(crate) fn from_bytes(bytes: [u8; 64], offset: u32) -> EmbeddedCurveScalar {\n let mut v = 1;\n let mut lo = 0 as Field;\n let mut hi = 0 as Field;\n for i in 0..16 {\n lo = lo + (bytes[offset+31 - i] as Field) * v;\n hi = hi + (bytes[offset+15 - i] as Field) * v;\n v = v * 256;\n }\n let sig_s = crate::embedded_curve_ops::EmbeddedCurveScalar { lo, hi };\n sig_s\n }\n}\n\nimpl Eq for EmbeddedCurveScalar {\n fn eq(self, other: Self) -> bool {\n (other.hi == self.hi) & (other.lo == self.lo)\n }\n}\n\n// Computes a multi scalar multiplication over the embedded curve.\n// For bn254, We have Grumpkin and Baby JubJub.\n// For bls12-381, we have JubJub and Bandersnatch.\n//\n// The embedded curve being used is decided by the \n// underlying proof system.\n// docs:start:multi_scalar_mul\npub fn multi_scalar_mul(\n points: [EmbeddedCurvePoint; N],\n scalars: [EmbeddedCurveScalar; N]\n) -> EmbeddedCurvePoint\n// docs:end:multi_scalar_mul\n{\n let point_array = multi_scalar_mul_array_return(points, scalars);\n EmbeddedCurvePoint { x: point_array[0], y: point_array[1], is_infinite: point_array[2] as bool }\n}\n\n#[foreign(multi_scalar_mul)]\nfn multi_scalar_mul_array_return(points: [EmbeddedCurvePoint; N], scalars: [EmbeddedCurveScalar; N]) -> [Field; 3] {}\n\n#[foreign(multi_scalar_mul)]\npub(crate) fn multi_scalar_mul_slice(points: [EmbeddedCurvePoint], scalars: [EmbeddedCurveScalar]) -> [Field; 3] {}\n\n// docs:start:fixed_base_scalar_mul\npub fn fixed_base_scalar_mul(scalar: EmbeddedCurveScalar) -> EmbeddedCurvePoint\n// docs:end:fixed_base_scalar_mul\n{\n let g1 = EmbeddedCurvePoint { x: 1, y: 17631683881184975370165255887551781615748388533673675138860, is_infinite: false };\n multi_scalar_mul([g1], [scalar])\n}\n\n/// This function only assumes that the points are on the curve\n/// It handles corner cases around the infinity point causing some overhead compared to embedded_curve_add_not_nul and embedded_curve_add_unsafe\n// This is a hack because returning an `EmbeddedCurvePoint` from a foreign function in brillig returns a [BrilligVariable::SingleAddr; 2] rather than BrilligVariable::BrilligArray\n// as is defined in the brillig bytecode format. This is a workaround which allows us to fix this without modifying the serialization format.\n// docs:start:embedded_curve_add\npub fn embedded_curve_add(point1: EmbeddedCurvePoint, point2: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n // docs:end:embedded_curve_add\n let x_coordinates_match = point1.x == point2.x;\n let y_coordinates_match = point1.y == point2.y;\n let double_predicate = (x_coordinates_match & y_coordinates_match);\n let infinity_predicate = (x_coordinates_match & !y_coordinates_match);\n let point1_1 = EmbeddedCurvePoint { x: point1.x + (x_coordinates_match as Field), y: point1.y, is_infinite: x_coordinates_match };\n // point1_1 is guaranteed to have a different abscissa than point2\n let mut result = embedded_curve_add_unsafe(point1_1, point2);\n result.is_infinite = x_coordinates_match;\n\n // dbl if x_match, y_match\n let double = embedded_curve_add_unsafe(point1, point1);\n result = if double_predicate { double } else { result };\n\n // infinity if x_match, !y_match\n if point1.is_infinite {\n result= point2;\n }\n if point2.is_infinite {\n result = point1;\n }\n let mut result_is_infinity = infinity_predicate & (!point1.is_infinite & !point2.is_infinite);\n result.is_infinite = result_is_infinity | (point1.is_infinite & point2.is_infinite);\n result\n}\n\n#[foreign(embedded_curve_add)]\nfn embedded_curve_add_array_return(_point1: EmbeddedCurvePoint, _point2: EmbeddedCurvePoint) -> [Field; 3] {}\n\n/// This function assumes that:\n/// The points are on the curve, and\n/// The points don't share an x-coordinate, and\n/// Neither point is the infinity point.\n/// If it is used with correct input, the function ensures the correct non-zero result is returned.\n/// Except for points on the curve, the other assumptions are checked by the function. It will cause assertion failure if they are not respected.\npub fn embedded_curve_add_not_nul(point1: EmbeddedCurvePoint, point2: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n assert(point1.x != point2.x);\n assert(!point1.is_infinite);\n assert(!point2.is_infinite);\n embedded_curve_add_unsafe(point1, point2)\n}\n\n/// Unsafe ec addition\n/// If the inputs are the same, it will perform a doubling, but only if point1 and point2 are the same variable.\n/// If they have the same value but are different variables, the result will be incorrect because in this case\n/// it assumes (but does not check) that the points' x-coordinates are not equal.\n/// It also assumes neither point is the infinity point.\npub fn embedded_curve_add_unsafe(point1: EmbeddedCurvePoint, point2: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n let point_array = embedded_curve_add_array_return(point1, point2);\n let x = point_array[0];\n let y = point_array[1];\n\n EmbeddedCurvePoint { x, y, is_infinite: false }\n}\n","path":"std/embedded_curve_ops.nr"},"25":{"source":"use crate::runtime::is_unconstrained;\n\n// The low and high decomposition of the field modulus\nglobal PLO: Field = 53438638232309528389504892708671455233;\nglobal PHI: Field = 64323764613183177041862057485226039389;\n\npub(crate) global TWO_POW_128: Field = 0x100000000000000000000000000000000;\n\n// Decomposes a single field into two 16 byte fields.\nfn compute_decomposition(x: Field) -> (Field, Field) {\n let x_bytes: [u8; 32] = x.to_le_bytes();\n\n let mut low: Field = 0;\n let mut high: Field = 0;\n\n let mut offset = 1;\n for i in 0..16 {\n low += (x_bytes[i] as Field) * offset;\n high += (x_bytes[i + 16] as Field) * offset;\n offset *= 256;\n }\n\n (low, high)\n}\n\nunconstrained pub(crate) fn decompose_hint(x: Field) -> (Field, Field) {\n compute_decomposition(x)\n}\n\nfn compute_lt(x: Field, y: Field, num_bytes: u32) -> bool {\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..num_bytes {\n if (!done) {\n let x_byte = x_bytes[num_bytes - 1 - i];\n let y_byte = y_bytes[num_bytes - 1 - i];\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\nfn compute_lte(x: Field, y: Field, num_bytes: u32) -> bool {\n if x == y {\n true\n } else {\n compute_lt(x, y, num_bytes)\n }\n}\n\nunconstrained fn lt_32_hint(x: Field, y: Field) -> bool {\n compute_lt(x, y, 32)\n}\n\nunconstrained fn lte_16_hint(x: Field, y: Field) -> bool {\n compute_lte(x, y, 16)\n}\n\n// Assert that (alo > blo && ahi >= bhi) || (alo <= blo && ahi > bhi)\nfn assert_gt_limbs(a: (Field, Field), b: (Field, Field)) {\n let (alo, ahi) = a;\n let (blo, bhi) = b;\n unsafe {\n let borrow = lte_16_hint(alo, blo);\n\n let rlo = alo - blo - 1 + (borrow as Field) * TWO_POW_128;\n let rhi = ahi - bhi - (borrow as Field);\n\n rlo.assert_max_bit_size(128);\n rhi.assert_max_bit_size(128);\n }\n}\n\n/// Decompose a single field into two 16 byte fields.\npub fn decompose(x: Field) -> (Field, Field) {\n if is_unconstrained() {\n compute_decomposition(x)\n } else {\n unsafe {\n // Take hints of the decomposition\n let (xlo, xhi) = decompose_hint(x);\n\n // Range check the limbs\n xlo.assert_max_bit_size(128);\n xhi.assert_max_bit_size(128);\n\n // Check that the decomposition is correct\n assert_eq(x, xlo + TWO_POW_128 * xhi);\n\n // Assert that the decomposition of P is greater than the decomposition of x\n assert_gt_limbs((PLO, PHI), (xlo, xhi));\n (xlo, xhi)\n }\n }\n}\n\npub fn assert_gt(a: Field, b: Field) {\n if is_unconstrained() {\n assert(compute_lt(b, a, 32));\n } else {\n // Decompose a and b\n let a_limbs = decompose(a);\n let b_limbs = decompose(b);\n\n // Assert that a_limbs is greater than b_limbs\n assert_gt_limbs(a_limbs, b_limbs)\n }\n}\n\npub fn assert_lt(a: Field, b: Field) {\n assert_gt(b, a);\n}\n\npub fn gt(a: Field, b: Field) -> bool {\n if is_unconstrained() {\n compute_lt(b, a, 32)\n } else if a == b {\n false\n } else {\n // Take a hint of the comparison and verify it\n unsafe {\n if lt_32_hint(a, b) {\n assert_gt(b, a);\n false\n } else {\n assert_gt(a, b);\n true\n }\n }\n }\n}\n\npub fn lt(a: Field, b: Field) -> bool {\n gt(b, a)\n}\n\nmod tests {\n // TODO: Allow imports from \"super\"\n use crate::field::bn254::{decompose, compute_lt, assert_gt, gt, TWO_POW_128, compute_lte, PLO, PHI};\n\n #[test]\n fn check_decompose() {\n assert_eq(decompose(TWO_POW_128), (0, 1));\n assert_eq(decompose(TWO_POW_128 + 0x1234567890), (0x1234567890, 1));\n assert_eq(decompose(0x1234567890), (0x1234567890, 0));\n }\n\n #[test]\n unconstrained fn check_decompose_unconstrained() {\n assert_eq(decompose(TWO_POW_128), (0, 1));\n assert_eq(decompose(TWO_POW_128 + 0x1234567890), (0x1234567890, 1));\n assert_eq(decompose(0x1234567890), (0x1234567890, 0));\n }\n\n #[test]\n fn check_compute_lt() {\n assert(compute_lt(0, 1, 16));\n assert(compute_lt(0, 0x100, 16));\n assert(compute_lt(0x100, TWO_POW_128 - 1, 16));\n assert(!compute_lt(0, TWO_POW_128, 16));\n }\n\n #[test]\n fn check_compute_lte() {\n assert(compute_lte(0, 1, 16));\n assert(compute_lte(0, 0x100, 16));\n assert(compute_lte(0x100, TWO_POW_128 - 1, 16));\n assert(!compute_lte(0, TWO_POW_128, 16));\n\n assert(compute_lte(0, 0, 16));\n assert(compute_lte(0x100, 0x100, 16));\n assert(compute_lte(TWO_POW_128 - 1, TWO_POW_128 - 1, 16));\n assert(compute_lte(TWO_POW_128, TWO_POW_128, 16));\n }\n\n #[test]\n fn check_assert_gt() {\n assert_gt(1, 0);\n assert_gt(0x100, 0);\n assert_gt((0 - 1), (0 - 2));\n assert_gt(TWO_POW_128, 0);\n assert_gt(0 - 1, 0);\n }\n\n #[test]\n unconstrained fn check_assert_gt_unconstrained() {\n assert_gt(1, 0);\n assert_gt(0x100, 0);\n assert_gt((0 - 1), (0 - 2));\n assert_gt(TWO_POW_128, 0);\n assert_gt(0 - 1, 0);\n }\n\n #[test]\n fn check_gt() {\n assert(gt(1, 0));\n assert(gt(0x100, 0));\n assert(gt((0 - 1), (0 - 2)));\n assert(gt(TWO_POW_128, 0));\n assert(!gt(0, 0));\n assert(!gt(0, 0x100));\n assert(gt(0 - 1, 0 - 2));\n assert(!gt(0 - 2, 0 - 1));\n }\n\n #[test]\n unconstrained fn check_gt_unconstrained() {\n assert(gt(1, 0));\n assert(gt(0x100, 0));\n assert(gt((0 - 1), (0 - 2)));\n assert(gt(TWO_POW_128, 0));\n assert(!gt(0, 0));\n assert(!gt(0, 0x100));\n assert(gt(0 - 1, 0 - 2));\n assert(!gt(0 - 2, 0 - 1));\n }\n\n #[test]\n fn check_plo_phi() {\n assert_eq(PLO + PHI * TWO_POW_128, 0);\n let p_bytes = crate::field::modulus_le_bytes();\n let mut p_low: Field = 0;\n let mut p_high: Field = 0;\n\n let mut offset = 1;\n for i in 0..16 {\n p_low += (p_bytes[i] as Field) * offset;\n p_high += (p_bytes[i + 16] as Field) * offset;\n offset *= 256;\n }\n assert_eq(p_low, PLO);\n assert_eq(p_high, PHI);\n }\n}\n","path":"std/field/bn254.nr"},"26":{"source":"pub mod bn254;\nuse bn254::lt as bn254_lt;\nuse crate::runtime::is_unconstrained;\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, bit_size: u32) {\n // docs:end:assert_max_bit_size\n crate::assert_constant(bit_size);\n assert(bit_size < modulus_num_bits() as u32);\n self.__assert_max_bit_size(bit_size);\n }\n\n #[builtin(apply_range_constraint)]\n fn __assert_max_bit_size(self, bit_size: u32) {}\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)]\n // docs:start:to_le_bits\n pub fn to_le_bits(self: Self) -> [u1; N] {}\n // docs:end:to_le_bits\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)]\n // docs:start:to_be_bits\n pub fn to_be_bits(self: Self) -> [u1; N] {}\n // docs:end:to_be_bits\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 // 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 // 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 // docs:start:to_le_radix\n pub fn to_le_radix(self: Self, radix: u32) -> [u8; N] {\n crate::assert_constant(radix);\n self.__to_le_radix(radix)\n }\n // docs:end:to_le_radix\n\n // docs:start:to_be_radix\n pub fn to_be_radix(self: Self, radix: u32) -> [u8; N] {\n crate::assert_constant(radix);\n self.__to_be_radix(radix)\n }\n // docs:end:to_be_radix\n\n // `_radix` must be less than 256\n #[builtin(to_le_radix)]\n fn __to_le_radix(self, radix: u32) -> [u8; N] {}\n\n #[builtin(to_be_radix)]\n fn __to_be_radix(self, radix: u32) -> [u8; 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 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(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// 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 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\nmod tests {\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 bits: [u8; 8] = field.to_be_bytes();\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bits), 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 bits: [u8; 8] = field.to_le_bytes();\n assert_eq(bits, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bits), 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 let field = 2;\n let bits: [u8; 8] = field.to_be_radix(256);\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bits), 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 let field = 2;\n let bits: [u8; 8] = field.to_le_radix(256);\n assert_eq(bits, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bits), field);\n }\n // docs:end:to_le_radix_example\n}\n","path":"std/field/mod.nr"},"29":{"source":"pub mod poseidon;\npub mod mimc;\npub mod poseidon2;\npub mod keccak;\npub mod sha256;\npub mod sha512;\n\nuse crate::default::Default;\nuse crate::uint128::U128;\nuse crate::collections::vec::Vec;\nuse crate::embedded_curve_ops::{EmbeddedCurvePoint, EmbeddedCurveScalar, multi_scalar_mul, multi_scalar_mul_slice};\nuse crate::meta::derive_via;\n\n// Kept for backwards compatibility\npub use sha256::{digest, sha256, sha256_compression, sha256_var};\n\n#[foreign(blake2s)]\n// docs:start:blake2s\npub fn blake2s(input: [u8; N]) -> [u8; 32]\n// docs:end:blake2s\n{}\n\n#[foreign(blake3)]\n// docs:start:blake3\npub fn blake3(input: [u8; N]) -> [u8; 32]\n// docs:end:blake3\n{}\n\n// docs:start:pedersen_commitment\npub fn pedersen_commitment(input: [Field; N]) -> EmbeddedCurvePoint {\n // docs:end:pedersen_commitment\n pedersen_commitment_with_separator(input, 0)\n}\n\npub fn pedersen_hash_with_separator(input: [Field; N], separator: u32) -> Field {\n pedersen_hash_with_separator_noir(input, separator)\n}\n\npub fn pedersen_commitment_with_separator(input: [Field; N], separator: u32) -> EmbeddedCurvePoint {\n let value = __pedersen_commitment_with_separator(input, separator);\n if (value[0] == 0) & (value[1] == 0) {\n EmbeddedCurvePoint { x: 0, y: 0, is_infinite: true }\n } else {\n EmbeddedCurvePoint { x: value[0], y: value[1], is_infinite: false }\n }\n}\n\n#[no_predicates]\nfn pedersen_commitment_with_separator_noir(input: [Field; N], separator: u32) -> EmbeddedCurvePoint {\n let mut points = [EmbeddedCurveScalar { lo: 0, hi: 0 }; N];\n for i in 0..N {\n // we use the unsafe version because the multi_scalar_mul will constrain the scalars.\n points[i] = from_field_unsafe(input[i]);\n }\n let generators = derive_generators(\"DEFAULT_DOMAIN_SEPARATOR\".as_bytes(), separator);\n multi_scalar_mul(generators, points)\n}\n\n#[no_predicates]\nfn pedersen_hash_with_separator_noir(input: [Field; N], separator: u32) -> Field {\n let mut scalars: Vec = Vec::from_slice([EmbeddedCurveScalar { lo: 0, hi: 0 }; N].as_slice()); //Vec::new();\n\n for i in 0..N {\n scalars.set(i, from_field_unsafe(input[i]));\n }\n scalars.push(EmbeddedCurveScalar { lo: N as Field, hi: 0 as Field });\n let domain_generators :[EmbeddedCurvePoint; N]= derive_generators(\"DEFAULT_DOMAIN_SEPARATOR\".as_bytes(), separator);\n let mut vec_generators = Vec::new();\n for i in 0..N {\n vec_generators.push(domain_generators[i]);\n }\n let length_generator : [EmbeddedCurvePoint; 1] = derive_generators(\"pedersen_hash_length\".as_bytes(), 0);\n vec_generators.push(length_generator[0]);\n multi_scalar_mul_slice(vec_generators.slice, scalars.slice)[0]\n}\n\n// docs:start:pedersen_hash\npub fn pedersen_hash(input: [Field; N]) -> Field\n// docs:end:pedersen_hash\n{\n pedersen_hash_with_separator_noir(input, 0)\n}\n\n#[foreign(pedersen_hash)]\nfn __pedersen_hash_with_separator(input: [Field; N], separator: u32) -> Field {}\n\n#[foreign(pedersen_commitment)]\nfn __pedersen_commitment_with_separator(input: [Field; N], separator: u32) -> [Field; 2] {}\n\n#[field(bn254)]\npub fn derive_generators(domain_separator_bytes: [u8; M], starting_index: u32) -> [EmbeddedCurvePoint; N] {\n crate::assert_constant(domain_separator_bytes);\n // TODO(https://github.com/noir-lang/noir/issues/5672): Add back assert_constant on starting_index\n __derive_generators(domain_separator_bytes, starting_index)\n}\n\n#[builtin(derive_pedersen_generators)]\n#[field(bn254)]\nfn __derive_generators(domain_separator_bytes: [u8; M], starting_index: u32) -> [EmbeddedCurvePoint; N] {}\n\n#[field(bn254)]\n// Same as from_field but:\n// does not assert the limbs are 128 bits\n// does not assert the decomposition does not overflow the EmbeddedCurveScalar\nfn from_field_unsafe(scalar: Field) -> EmbeddedCurveScalar {\n let (xlo, xhi) = unsafe {\n crate::field::bn254::decompose_hint(scalar)\n };\n // Check that the decomposition is correct\n assert_eq(scalar, xlo + crate::field::bn254::TWO_POW_128 * xhi);\n EmbeddedCurveScalar { lo: xlo, hi: xhi }\n}\n\npub fn hash_to_field(inputs: [Field]) -> Field {\n let mut sum = 0;\n\n for input in inputs {\n let input_bytes: [u8; 32] = input.to_le_bytes();\n sum += crate::field::bytes32_to_field(blake2s(input_bytes));\n }\n\n sum\n}\n\n// docs:start:keccak256\npub fn keccak256(input: [u8; N], message_size: u32) -> [u8; 32]\n// docs:end:keccak256\n{\n crate::hash::keccak::keccak256(input, message_size)\n}\n\n#[foreign(poseidon2_permutation)]\npub fn poseidon2_permutation(_input: [Field; N], _state_length: u32) -> [Field; N] {}\n\n// Generic hashing support.\n// Partially ported and impacted by rust.\n\n// Hash trait shall be implemented per type.\n#[derive_via(derive_hash)]\npub trait Hash {\n fn hash(self, state: &mut H) where H: Hasher;\n}\n\n// docs:start:derive_hash\ncomptime fn derive_hash(s: StructDefinition) -> Quoted {\n let name = quote { Hash };\n let signature = quote { fn hash(_self: Self, _state: &mut H) where H: std::hash::Hasher };\n let for_each_field = |name| quote { _self.$name.hash(_state); };\n crate::meta::make_trait_impl(s, name, signature, for_each_field, quote {}, |fields| fields)\n}\n// docs:end:derive_hash\n\n// Hasher trait shall be implemented by algorithms to provide hash-agnostic means.\n// TODO: consider making the types generic here ([u8], [Field], etc.)\npub trait Hasher {\n fn finish(self) -> Field;\n\n fn write(&mut self, input: Field);\n}\n\n// BuildHasher is a factory trait, responsible for production of specific Hasher.\npub trait BuildHasher where H: Hasher {\n fn build_hasher(self) -> H;\n}\n\npub struct BuildHasherDefault;\n\nimpl BuildHasher for BuildHasherDefault\nwhere\n H: Hasher + Default {\n fn build_hasher(_self: Self) -> H {\n H::default()\n }\n}\n\nimpl Default for BuildHasherDefault\nwhere\n H: Hasher + Default {\n fn default() -> Self {\n BuildHasherDefault {}\n }\n}\n\nimpl Hash for Field {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self);\n }\n}\n\nimpl Hash for u1 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u8 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u16 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u32 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u64 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i8 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i16 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i32 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i64 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for bool {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for () {\n fn hash(_self: Self, _state: &mut H) where H: Hasher {}\n}\n\nimpl Hash for U128 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self.lo as Field);\n H::write(state, self.hi as Field);\n }\n}\n\nimpl Hash for [T; N] where T: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n for elem in self {\n elem.hash(state);\n }\n }\n}\n\nimpl Hash for [T] where T: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.len().hash(state);\n for elem in self {\n elem.hash(state);\n }\n }\n}\n\nimpl Hash for (A, B) where A: Hash, B: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n }\n}\n\nimpl Hash for (A, B, C) where A: Hash, B: Hash, C: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n self.2.hash(state);\n }\n}\n\nimpl Hash for (A, B, C, D) where A: Hash, B: Hash, C: Hash, D: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n self.2.hash(state);\n self.3.hash(state);\n }\n}\n\nimpl Hash for (A, B, C, D, E) where A: Hash, B: Hash, C: Hash, D: Hash, E: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n self.2.hash(state);\n self.3.hash(state);\n self.4.hash(state);\n }\n}\n\n// Some test vectors for Pedersen hash and Pedersen Commitment.\n// They have been generated using the same functions so the tests are for now useless\n// but they will be useful when we switch to Noir implementation.\n#[test]\nfn assert_pedersen() {\n assert_eq(\n pedersen_hash_with_separator([1], 1), 0x1b3f4b1a83092a13d8d1a59f7acb62aba15e7002f4440f2275edb99ebbc2305f\n );\n assert_eq(\n pedersen_commitment_with_separator([1], 1), EmbeddedCurvePoint {\n x: 0x054aa86a73cb8a34525e5bbed6e43ba1198e860f5f3950268f71df4591bde402,\n y: 0x209dcfbf2cfb57f9f6046f44d71ac6faf87254afc7407c04eb621a6287cac126,\n is_infinite: false\n }\n );\n\n assert_eq(\n pedersen_hash_with_separator([1, 2], 2), 0x26691c129448e9ace0c66d11f0a16d9014a9e8498ee78f4d69f0083168188255\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2], 2), EmbeddedCurvePoint {\n x: 0x2e2b3b191e49541fe468ec6877721d445dcaffe41728df0a0eafeb15e87b0753,\n y: 0x2ff4482400ad3a6228be17a2af33e2bcdf41be04795f9782bd96efe7e24f8778,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3], 3), 0x0bc694b7a1f8d10d2d8987d07433f26bd616a2d351bc79a3c540d85b6206dbe4\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3], 3), EmbeddedCurvePoint {\n x: 0x1fee4e8cf8d2f527caa2684236b07c4b1bad7342c01b0f75e9a877a71827dc85,\n y: 0x2f9fedb9a090697ab69bf04c8bc15f7385b3e4b68c849c1536e5ae15ff138fd1,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4], 4), 0xdae10fb32a8408521803905981a2b300d6a35e40e798743e9322b223a5eddc\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4], 4), EmbeddedCurvePoint {\n x: 0x07ae3e202811e1fca39c2d81eabe6f79183978e6f12be0d3b8eda095b79bdbc9,\n y: 0x0afc6f892593db6fbba60f2da558517e279e0ae04f95758587760ba193145014,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5], 5), 0xfc375b062c4f4f0150f7100dfb8d9b72a6d28582dd9512390b0497cdad9c22\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5], 5), EmbeddedCurvePoint {\n x: 0x1754b12bd475a6984a1094b5109eeca9838f4f81ac89c5f0a41dbce53189bb29,\n y: 0x2da030e3cfcdc7ddad80eaf2599df6692cae0717d4e9f7bfbee8d073d5d278f7,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6], 6), 0x1696ed13dc2730062a98ac9d8f9de0661bb98829c7582f699d0273b18c86a572\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6], 6), EmbeddedCurvePoint {\n x: 0x190f6c0e97ad83e1e28da22a98aae156da083c5a4100e929b77e750d3106a697,\n y: 0x1f4b60f34ef91221a0b49756fa0705da93311a61af73d37a0c458877706616fb,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7], 7), 0x128c0ff144fc66b6cb60eeac8a38e23da52992fc427b92397a7dffd71c45ede3\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7], 7), EmbeddedCurvePoint {\n x: 0x015441e9d29491b06563fac16fc76abf7a9534c715421d0de85d20dbe2965939,\n y: 0x1d2575b0276f4e9087e6e07c2cb75aa1baafad127af4be5918ef8a2ef2fea8fc,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7, 8], 8), 0x2f960e117482044dfc99d12fece2ef6862fba9242be4846c7c9a3e854325a55c\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7, 8], 8), EmbeddedCurvePoint {\n x: 0x1657737676968887fceb6dd516382ea13b3a2c557f509811cd86d5d1199bc443,\n y: 0x1f39f0cb569040105fa1e2f156521e8b8e08261e635a2b210bdc94e8d6d65f77,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9], 9), 0x0c96db0790602dcb166cc4699e2d306c479a76926b81c2cb2aaa92d249ec7be7\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9], 9), EmbeddedCurvePoint {\n x: 0x0a3ceae42d14914a432aa60ec7fded4af7dad7dd4acdbf2908452675ec67e06d,\n y: 0xfc19761eaaf621ad4aec9a8b2e84a4eceffdba78f60f8b9391b0bd9345a2f2,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 10), 0x2cd37505871bc460a62ea1e63c7fe51149df5d0801302cf1cbc48beb8dff7e94\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 10), EmbeddedCurvePoint {\n x: 0x2fb3f8b3d41ddde007c8c3c62550f9a9380ee546fcc639ffbb3fd30c8d8de30c,\n y: 0x300783be23c446b11a4c0fabf6c91af148937cea15fcf5fb054abf7f752ee245,\n is_infinite: false\n }\n );\n}\n","path":"std/hash/mod.nr"},"34":{"source":"use crate::hash::Hasher;\nuse crate::default::Default;\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 if message_size == N {\n Poseidon2::hash_internal(input, N, false)\n } else {\n Poseidon2::hash_internal(input, message_size, true)\n }\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result = 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::hash::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(input: [Field; N], in_len: u32, is_variable_length: bool) -> 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":"std/hash/poseidon2.nr"},"35":{"source":"use crate::runtime::is_unconstrained;\n\n// Implementation of SHA-256 mapping a byte array of variable length to\n// 32 bytes.\n\n// Deprecated in favour of `sha256_var`\n// docs:start:sha256\npub fn sha256(input: [u8; N]) -> [u8; 32]\n// docs:end:sha256\n{\n digest(input)\n}\n\n#[foreign(sha256_compression)]\npub fn sha256_compression(_input: [u32; 16], _state: [u32; 8]) -> [u32; 8] {}\n\n// SHA-256 hash function\n#[no_predicates]\npub fn digest(msg: [u8; N]) -> [u8; 32] {\n sha256_var(msg, N as u64)\n}\n\n// Convert 64-byte array to array of 16 u32s\nfn msg_u8_to_u32(msg: [u8; 64]) -> [u32; 16] {\n let mut msg32: [u32; 16] = [0; 16];\n\n for i in 0..16 {\n let mut msg_field: Field = 0;\n for j in 0..4 {\n msg_field = msg_field * 256 + msg[64 - 4*(i + 1) + j] as Field;\n }\n msg32[15 - i] = msg_field as u32;\n }\n\n msg32\n}\n\nunconstrained fn build_msg_block_iter(msg: [u8; N], message_size: u32, msg_start: u32) -> ([u8; 64], u32) {\n let mut msg_block: [u8; BLOCK_SIZE] = [0; BLOCK_SIZE];\n // We insert `BLOCK_SIZE` bytes (or up to the end of the message)\n let block_input = if msg_start + BLOCK_SIZE > message_size {\n if message_size < msg_start {\n // This function is sometimes called with `msg_start` past the end of the message.\n // In this case we return an empty block and zero pointer to signal that the result should be ignored.\n 0\n } else {\n message_size - msg_start\n }\n } else {\n BLOCK_SIZE\n };\n for k in 0..block_input {\n msg_block[k] = msg[msg_start + k];\n }\n (msg_block, block_input)\n}\n\n// Verify the block we are compressing was appropriately constructed\nfn verify_msg_block(\n msg: [u8; N],\n message_size: u32,\n msg_block: [u8; 64],\n msg_start: u32\n) -> u32 {\n let mut msg_byte_ptr: u32 = 0; // Message byte pointer\n let mut msg_end = msg_start + BLOCK_SIZE;\n if msg_end > N {\n msg_end = N;\n }\n\n for k in msg_start..msg_end {\n if k < message_size {\n assert_eq(msg_block[msg_byte_ptr], msg[k]);\n msg_byte_ptr = msg_byte_ptr + 1;\n }\n }\n\n msg_byte_ptr\n}\n\nglobal BLOCK_SIZE = 64;\nglobal ZERO = 0;\n\n// Variable size SHA-256 hash\npub fn sha256_var(msg: [u8; N], message_size: u64) -> [u8; 32] {\n let message_size = message_size as u32;\n let num_blocks = N / BLOCK_SIZE;\n let mut msg_block: [u8; BLOCK_SIZE] = [0; BLOCK_SIZE];\n let mut h: [u32; 8] = [1779033703, 3144134277, 1013904242, 2773480762, 1359893119, 2600822924, 528734635, 1541459225]; // Intermediate hash, starting with the canonical initial value\n let mut msg_byte_ptr = 0; // Pointer into msg_block\n\n for i in 0..num_blocks {\n let msg_start = BLOCK_SIZE * i;\n let (new_msg_block, new_msg_byte_ptr) = unsafe {\n build_msg_block_iter(msg, message_size, msg_start)\n };\n if msg_start < message_size {\n msg_block = new_msg_block;\n }\n\n if !is_unconstrained() {\n // Verify the block we are compressing was appropriately constructed\n let new_msg_byte_ptr = verify_msg_block(msg, message_size, msg_block, msg_start);\n if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n } else if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n\n // If the block is filled, compress it.\n // An un-filled block is handled after this loop.\n if (msg_start < message_size) & (msg_byte_ptr == BLOCK_SIZE) {\n h = sha256_compression(msg_u8_to_u32(msg_block), h);\n }\n }\n\n let modulo = N % BLOCK_SIZE;\n // Handle setup of the final msg block.\n // This case is only hit if the msg is less than the block size,\n // or our message cannot be evenly split into blocks.\n if modulo != 0 {\n let msg_start = BLOCK_SIZE * num_blocks;\n let (new_msg_block, new_msg_byte_ptr) = unsafe {\n build_msg_block_iter(msg, message_size, msg_start)\n };\n\n if msg_start < message_size {\n msg_block = new_msg_block;\n }\n\n if !is_unconstrained() {\n let new_msg_byte_ptr = verify_msg_block(msg, message_size, msg_block, msg_start);\n if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n } else if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n }\n\n if msg_byte_ptr == BLOCK_SIZE {\n msg_byte_ptr = 0;\n }\n\n // This variable is used to get around the compiler under-constrained check giving a warning.\n // We want to check against a constant zero, but if it does not come from the circuit inputs\n // or return values the compiler check will issue a warning.\n let zero = msg_block[0] - msg_block[0];\n\n // Pad the rest such that we have a [u32; 2] block at the end representing the length\n // of the message, and a block of 1 0 ... 0 following the message (i.e. [1 << 7, 0, ..., 0]).\n msg_block[msg_byte_ptr] = 1 << 7;\n let last_block = msg_block;\n msg_byte_ptr = msg_byte_ptr + 1;\n\n unsafe {\n let (new_msg_block, new_msg_byte_ptr) = pad_msg_block(msg_block, msg_byte_ptr);\n msg_block = new_msg_block;\n if crate::runtime::is_unconstrained() {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n }\n\n if !crate::runtime::is_unconstrained() {\n for i in 0..BLOCK_SIZE {\n assert_eq(msg_block[i], last_block[i]);\n }\n\n // If i >= 57, there aren't enough bits in the current message block to accomplish this, so\n // the 1 and 0s fill up the current block, which we then compress accordingly.\n // Not enough bits (64) to store length. Fill up with zeros.\n for _i in 57..BLOCK_SIZE {\n if msg_byte_ptr <= 63 & msg_byte_ptr >= 57 {\n assert_eq(msg_block[msg_byte_ptr], zero);\n msg_byte_ptr += 1;\n }\n }\n }\n\n if msg_byte_ptr >= 57 {\n h = sha256_compression(msg_u8_to_u32(msg_block), h);\n\n msg_byte_ptr = 0;\n }\n\n msg_block = unsafe {\n attach_len_to_msg_block(msg_block, msg_byte_ptr, message_size)\n };\n\n if !crate::runtime::is_unconstrained() {\n for i in 0..56 {\n let predicate = (i < msg_byte_ptr) as u8;\n let expected_byte = predicate * last_block[i];\n assert_eq(msg_block[i], expected_byte);\n }\n\n // We verify the message length was inserted correctly by reversing the byte decomposition.\n let len = 8 * message_size;\n let mut reconstructed_len: Field = 0;\n for i in 56..64 {\n reconstructed_len = 256 * reconstructed_len + msg_block[i] as Field;\n }\n assert_eq(reconstructed_len, len as Field);\n }\n\n hash_final_block(msg_block, h)\n}\n\nunconstrained fn pad_msg_block(\n mut msg_block: [u8; 64],\n mut msg_byte_ptr: u32\n) -> ([u8; BLOCK_SIZE], u32) {\n // If i >= 57, there aren't enough bits in the current message block to accomplish this, so\n // the 1 and 0s fill up the current block, which we then compress accordingly.\n if msg_byte_ptr >= 57 {\n // Not enough bits (64) to store length. Fill up with zeros.\n for i in msg_byte_ptr..BLOCK_SIZE {\n msg_block[i] = 0;\n }\n (msg_block, BLOCK_SIZE)\n } else {\n (msg_block, msg_byte_ptr)\n }\n}\n\nunconstrained fn attach_len_to_msg_block(mut msg_block: [u8; BLOCK_SIZE], msg_byte_ptr: u32, message_size: u32) -> [u8; BLOCK_SIZE] {\n // We assume that `msg_byte_ptr` is less than 57 because if not then it is reset to zero before calling this function.\n // In any case, fill blocks up with zeros until the last 64 (i.e. until msg_byte_ptr = 56).\n\n for i in msg_byte_ptr..56 {\n msg_block[i] = 0;\n }\n\n let len = 8 * message_size;\n let len_bytes: [u8; 8] = (len as Field).to_be_bytes();\n for i in 0..8 {\n msg_block[56 + i] = len_bytes[i];\n }\n msg_block\n}\n\nfn hash_final_block(msg_block: [u8; BLOCK_SIZE], mut state: [u32; 8]) -> [u8; 32] {\n let mut out_h: [u8; 32] = [0; 32]; // Digest as sequence of bytes\n\n // Hash final padded block\n state = sha256_compression(msg_u8_to_u32(msg_block), state);\n\n // Return final hash as byte array\n for j in 0..8 {\n let h_bytes: [u8; 4] = (state[7 - j] as Field).to_le_bytes();\n for k in 0..4 {\n out_h[31 - 4*j - k] = h_bytes[k];\n }\n }\n\n out_h\n}\n\nmod tests {\n use super::sha256_var;\n\n #[test]\n fn smoke_test() {\n let input = [0xbd];\n let result = [\n 0x68, 0x32, 0x57, 0x20, 0xaa, 0xbd, 0x7c, 0x82, 0xf3, 0x0f, 0x55, 0x4b, 0x31, 0x3d, 0x05, 0x70, 0xc9, 0x5a, 0xcc, 0xbb, 0x7d, 0xc4, 0xb5, 0xaa, 0xe1, 0x12, 0x04, 0xc0, 0x8f, 0xfe, 0x73, 0x2b\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_just_over_block() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59, 32, 99, 104, 97, 114, 115, 101, 116\n ];\n let result = [\n 91, 122, 146, 93, 52, 109, 133, 148, 171, 61, 156, 70, 189, 238, 153, 7, 222, 184, 94, 24, 65, 114, 192, 244, 207, 199, 87, 232, 192, 224, 171, 207\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_multiple_over_block() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59, 32, 99, 104, 97, 114, 115, 101, 116, 61, 117, 115, 45, 97, 115, 99, 105, 105, 13, 10, 109, 105, 109, 101, 45, 118, 101, 114, 115, 105, 111, 110, 58, 49, 46, 48, 32, 40, 77, 97, 99, 32, 79, 83, 32, 88, 32, 77, 97, 105, 108, 32, 49, 54, 46, 48, 32, 92, 40, 51, 55, 51, 49, 46, 53, 48, 48, 46, 50, 51, 49, 92, 41, 41, 13, 10, 115, 117, 98, 106, 101, 99, 116, 58, 72, 101, 108, 108, 111, 13, 10, 109, 101, 115, 115, 97, 103, 101, 45, 105, 100, 58, 60, 56, 70, 56, 49, 57, 68, 51, 50, 45, 66, 54, 65, 67, 45, 52, 56, 57, 68, 45, 57, 55, 55, 70, 45, 52, 51, 56, 66, 66, 67, 52, 67, 65, 66, 50, 55, 64, 109, 101, 46, 99, 111, 109, 62, 13, 10, 100, 97, 116, 101, 58, 83, 97, 116, 44, 32, 50, 54, 32, 65, 117, 103, 32, 50, 48, 50, 51, 32, 49, 50, 58, 50, 53, 58, 50, 50, 32, 43, 48, 52, 48, 48, 13, 10, 116, 111, 58, 122, 107, 101, 119, 116, 101, 115, 116, 64, 103, 109, 97, 105, 108, 46, 99, 111, 109, 13, 10, 100, 107, 105, 109, 45, 115, 105, 103, 110, 97, 116, 117, 114, 101, 58, 118, 61, 49, 59, 32, 97, 61, 114, 115, 97, 45, 115, 104, 97, 50, 53, 54, 59, 32, 99, 61, 114, 101, 108, 97, 120, 101, 100, 47, 114, 101, 108, 97, 120, 101, 100, 59, 32, 100, 61, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 59, 32, 115, 61, 49, 97, 49, 104, 97, 105, 59, 32, 116, 61, 49, 54, 57, 51, 48, 51, 56, 51, 51, 55, 59, 32, 98, 104, 61, 55, 120, 81, 77, 68, 117, 111, 86, 86, 85, 52, 109, 48, 87, 48, 87, 82, 86, 83, 114, 86, 88, 77, 101, 71, 83, 73, 65, 83, 115, 110, 117, 99, 75, 57, 100, 74, 115, 114, 99, 43, 118, 85, 61, 59, 32, 104, 61, 102, 114, 111, 109, 58, 67, 111, 110, 116, 101, 110, 116, 45, 84, 121, 112, 101, 58, 77, 105, 109, 101, 45, 86, 101, 114, 115, 105, 111, 110, 58, 83, 117, 98, 106, 101, 99\n ];\n let result = [\n 116, 90, 151, 31, 78, 22, 138, 180, 211, 189, 69, 76, 227, 200, 155, 29, 59, 123, 154, 60, 47, 153, 203, 129, 157, 251, 48, 2, 79, 11, 65, 47\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_just_under_block() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59\n ];\n let result = [\n 143, 140, 76, 173, 222, 123, 102, 68, 70, 149, 207, 43, 39, 61, 34, 79, 216, 252, 213, 165, 74, 16, 110, 74, 29, 64, 138, 167, 30, 1, 9, 119\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_big_not_block_multiple() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59, 32, 99, 104, 97, 114, 115, 101, 116, 61, 117, 115, 45, 97, 115, 99, 105, 105, 13, 10, 109, 105, 109, 101, 45, 118, 101, 114, 115, 105, 111, 110, 58, 49, 46, 48, 32, 40, 77, 97, 99, 32, 79, 83, 32, 88, 32, 77, 97, 105, 108, 32, 49, 54, 46, 48, 32, 92, 40, 51, 55, 51, 49, 46, 53, 48, 48, 46, 50, 51, 49, 92, 41, 41, 13, 10, 115, 117, 98, 106, 101, 99, 116, 58, 72, 101, 108, 108, 111, 13, 10, 109, 101, 115, 115, 97, 103, 101, 45, 105, 100, 58, 60, 56, 70, 56, 49, 57, 68, 51, 50, 45, 66, 54, 65, 67, 45, 52, 56, 57, 68, 45, 57, 55, 55, 70, 45, 52, 51, 56, 66, 66, 67, 52, 67, 65, 66, 50, 55, 64, 109, 101, 46, 99, 111, 109, 62, 13, 10, 100, 97, 116, 101, 58, 83, 97, 116, 44, 32, 50, 54, 32, 65, 117, 103, 32, 50, 48, 50, 51, 32, 49, 50, 58, 50, 53, 58, 50, 50, 32, 43, 48, 52, 48, 48, 13, 10, 116, 111, 58, 122, 107, 101, 119, 116, 101, 115, 116, 64, 103, 109, 97, 105, 108, 46, 99, 111, 109, 13, 10, 100, 107, 105, 109, 45, 115, 105, 103, 110, 97, 116, 117, 114, 101, 58, 118, 61, 49, 59, 32, 97, 61, 114, 115, 97, 45, 115, 104, 97, 50, 53, 54, 59, 32, 99, 61, 114, 101, 108, 97, 120, 101, 100, 47, 114, 101, 108, 97, 120, 101, 100, 59, 32, 100, 61, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 59, 32, 115, 61, 49, 97, 49, 104, 97, 105, 59, 32, 116, 61, 49, 54, 57, 51, 48, 51, 56, 51, 51, 55, 59, 32, 98, 104, 61, 55, 120, 81, 77, 68, 117, 111, 86, 86, 85, 52, 109, 48, 87, 48, 87, 82, 86, 83, 114, 86, 88, 77, 101, 71, 83, 73, 65, 83, 115, 110, 117, 99, 75, 57, 100, 74, 115, 114, 99, 43, 118, 85, 61, 59, 32, 104, 61, 102, 114, 111, 109, 58, 67, 111, 110, 116, 101, 110, 116, 45, 84, 121, 112, 101, 58, 77, 105, 109, 101, 45, 86, 101, 114, 115, 105, 111, 110, 58, 83, 117, 98, 106, 101, 99, 116, 58, 77, 101, 115, 115, 97, 103, 101, 45, 73, 100, 58, 68, 97, 116, 101, 58, 116, 111, 59, 32, 98, 61\n ];\n let result = [\n 112, 144, 73, 182, 208, 98, 9, 238, 54, 229, 61, 145, 222, 17, 72, 62, 148, 222, 186, 55, 192, 82, 220, 35, 66, 47, 193, 200, 22, 38, 26, 186\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_big_with_padding() {\n let input = [\n 48, 130, 1, 37, 2, 1, 0, 48, 11, 6, 9, 96, 134, 72, 1, 101, 3, 4, 2, 1, 48, 130, 1, 17, 48, 37, 2, 1, 1, 4, 32, 176, 223, 31, 133, 108, 84, 158, 102, 70, 11, 165, 175, 196, 12, 201, 130, 25, 131, 46, 125, 156, 194, 28, 23, 55, 133, 157, 164, 135, 136, 220, 78, 48, 37, 2, 1, 2, 4, 32, 190, 82, 180, 235, 222, 33, 79, 50, 152, 136, 142, 35, 116, 224, 6, 242, 156, 141, 128, 248, 10, 61, 98, 86, 248, 45, 207, 210, 90, 232, 175, 38, 48, 37, 2, 1, 3, 4, 32, 0, 194, 104, 108, 237, 246, 97, 230, 116, 198, 69, 110, 26, 87, 17, 89, 110, 199, 108, 250, 36, 21, 39, 87, 110, 102, 250, 213, 174, 131, 171, 174, 48, 37, 2, 1, 11, 4, 32, 136, 155, 87, 144, 111, 15, 152, 127, 85, 25, 154, 81, 20, 58, 51, 75, 193, 116, 234, 0, 60, 30, 29, 30, 183, 141, 72, 247, 255, 203, 100, 124, 48, 37, 2, 1, 12, 4, 32, 41, 234, 106, 78, 31, 11, 114, 137, 237, 17, 92, 71, 134, 47, 62, 78, 189, 233, 201, 214, 53, 4, 47, 189, 201, 133, 6, 121, 34, 131, 64, 142, 48, 37, 2, 1, 13, 4, 32, 91, 222, 210, 193, 62, 222, 104, 82, 36, 41, 138, 253, 70, 15, 148, 208, 156, 45, 105, 171, 241, 195, 185, 43, 217, 162, 146, 201, 222, 89, 238, 38, 48, 37, 2, 1, 14, 4, 32, 76, 123, 216, 13, 51, 227, 72, 245, 59, 193, 238, 166, 103, 49, 23, 164, 171, 188, 194, 197, 156, 187, 249, 28, 198, 95, 69, 15, 182, 56, 54, 38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n ];\n let result = [\n 32, 85, 108, 174, 127, 112, 178, 182, 8, 43, 134, 123, 192, 211, 131, 66, 184, 240, 212, 181, 240, 180, 106, 195, 24, 117, 54, 129, 19, 10, 250, 53\n ];\n let message_size = 297;\n assert_eq(sha256_var(input, message_size), result);\n }\n\n #[test]\n fn msg_big_no_padding() {\n let input = [\n 48, 130, 1, 37, 2, 1, 0, 48, 11, 6, 9, 96, 134, 72, 1, 101, 3, 4, 2, 1, 48, 130, 1, 17, 48, 37, 2, 1, 1, 4, 32, 176, 223, 31, 133, 108, 84, 158, 102, 70, 11, 165, 175, 196, 12, 201, 130, 25, 131, 46, 125, 156, 194, 28, 23, 55, 133, 157, 164, 135, 136, 220, 78, 48, 37, 2, 1, 2, 4, 32, 190, 82, 180, 235, 222, 33, 79, 50, 152, 136, 142, 35, 116, 224, 6, 242, 156, 141, 128, 248, 10, 61, 98, 86, 248, 45, 207, 210, 90, 232, 175, 38, 48, 37, 2, 1, 3, 4, 32, 0, 194, 104, 108, 237, 246, 97, 230, 116, 198, 69, 110, 26, 87, 17, 89, 110, 199, 108, 250, 36, 21, 39, 87, 110, 102, 250, 213, 174, 131, 171, 174, 48, 37, 2, 1, 11, 4, 32, 136, 155, 87, 144, 111, 15, 152, 127, 85, 25, 154, 81, 20, 58, 51, 75, 193, 116, 234, 0, 60, 30, 29, 30, 183, 141, 72, 247, 255, 203, 100, 124, 48, 37, 2, 1, 12, 4, 32, 41, 234, 106, 78, 31, 11, 114, 137, 237, 17, 92, 71, 134, 47, 62, 78, 189, 233, 201, 214, 53, 4, 47, 189, 201, 133, 6, 121, 34, 131, 64, 142, 48, 37, 2, 1, 13, 4, 32, 91, 222, 210, 193, 62, 222, 104, 82, 36, 41, 138, 253, 70, 15, 148, 208, 156, 45, 105, 171, 241, 195, 185, 43, 217, 162, 146, 201, 222, 89, 238, 38, 48, 37, 2, 1, 14, 4, 32, 76, 123, 216, 13, 51, 227, 72, 245, 59, 193, 238, 166, 103, 49, 23, 164, 171, 188, 194, 197, 156, 187, 249, 28, 198, 95, 69, 15, 182, 56, 54, 38\n ];\n let result = [\n 32, 85, 108, 174, 127, 112, 178, 182, 8, 43, 134, 123, 192, 211, 131, 66, 184, 240, 212, 181, 240, 180, 106, 195, 24, 117, 54, 129, 19, 10, 250, 53\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn same_msg_len_variable_padding() {\n let input = [\n 29, 81, 165, 84, 243, 114, 101, 37, 242, 146, 127, 99, 69, 145, 39, 72, 213, 39, 253, 179, 218, 37, 217, 201, 172, 93, 198, 50, 249, 70, 15, 30, 162, 112, 187, 40, 140, 9, 236, 53, 32, 44, 38, 163, 113, 254, 192, 197, 44, 89, 71, 130, 169, 242, 17, 211, 214, 72, 19, 178, 186, 168, 147, 127, 99, 101, 252, 227, 8, 147, 150, 85, 97, 158, 17, 107, 218, 244, 82, 113, 247, 91, 208, 214, 60, 244, 87, 137, 173, 201, 130, 18, 66, 56, 198, 149, 207, 189, 175, 120, 123, 224, 177, 167, 251, 159, 143, 110, 68, 183, 189, 70, 126, 32, 35, 164, 44, 30, 44, 12, 65, 18, 62, 239, 242, 2, 248, 104, 2, 178, 64, 28, 126, 36, 137, 24, 14, 116, 91, 98, 90, 159, 218, 102, 45, 11, 110, 223, 245, 184, 52, 99, 59, 245, 136, 175, 3, 72, 164, 146, 145, 116, 22, 66, 24, 49, 193, 121, 3, 60, 37, 41, 97, 3, 190, 66, 195, 225, 63, 46, 3, 118, 4, 208, 15, 1, 40, 254, 235, 151, 123, 70, 180, 170, 44, 172, 90, 4, 254, 53, 239, 116, 246, 67, 56, 129, 61, 22, 169, 213, 65, 27, 216, 116, 162, 239, 214, 207, 126, 177, 20, 100, 25, 48, 143, 84, 215, 70, 197, 53, 65, 70, 86, 172, 61, 62, 9, 212, 167, 169, 133, 41, 126, 213, 196, 33, 192, 238, 0, 63, 246, 215, 58, 128, 110, 101, 92, 3, 170, 214, 130, 149, 52, 81, 125, 118, 233, 3, 118, 193, 104, 207, 120, 115, 77, 253, 191, 122, 0, 107, 164, 207, 113, 81, 169, 36, 201, 228, 74, 134, 131, 218, 178, 35, 30, 216, 101, 2, 103, 174, 87, 95, 50, 50, 215, 157, 5, 210, 188, 54, 211, 78, 45, 199, 96, 121, 241, 241, 176, 226, 194, 134, 130, 89, 217, 210, 186, 32, 140, 39, 91, 103, 212, 26, 87, 32, 72, 144, 228, 230, 117, 99, 188, 50, 15, 69, 79, 179, 50, 12, 106, 86, 218, 101, 73, 142, 243, 29, 250, 122, 228, 233, 29, 255, 22, 121, 114, 125, 103, 41, 250, 241, 179, 126, 158, 198, 116, 209, 65, 94, 98, 228, 175, 169, 96, 3, 9, 233, 133, 214, 55, 161, 164, 103, 80, 85, 24, 186, 64, 167, 92, 131, 53, 101, 202, 47, 25, 104, 118, 155, 14, 12, 12, 25, 116, 45, 221, 249, 28, 246, 212, 200, 157, 167, 169, 56, 197, 181, 4, 245, 146, 1, 140, 234, 191, 212, 228, 125, 87, 81, 86, 119, 30, 63, 129, 143, 32, 96\n ];\n\n // Prepare inputs of different lengths\n let mut input_511 = [0; 511];\n let mut input_512 = [0; 512]; // Next block\n let mut input_575 = [0; 575];\n let mut input_576 = [0; 576]; // Next block\n for i in 0..input.len() {\n input_511[i] = input[i];\n input_512[i] = input[i];\n input_575[i] = input[i];\n input_576[i] = input[i];\n }\n\n // Compute hashes of all inputs (with same message length)\n let fixed_length_hash = super::sha256(input);\n let var_full_length_hash = sha256_var(input, input.len() as u64);\n let var_length_hash_511 = sha256_var(input_511, input.len() as u64);\n let var_length_hash_512 = sha256_var(input_512, input.len() as u64);\n let var_length_hash_575 = sha256_var(input_575, input.len() as u64);\n let var_length_hash_576 = sha256_var(input_576, input.len() as u64);\n\n // All of the above should have produced the same hash\n assert_eq(var_full_length_hash, fixed_length_hash);\n assert_eq(var_length_hash_511, fixed_length_hash);\n assert_eq(var_length_hash_512, fixed_length_hash);\n assert_eq(var_length_hash_575, fixed_length_hash);\n assert_eq(var_length_hash_576, fixed_length_hash);\n }\n}\n","path":"std/hash/sha256.nr"},"59":{"source":"pub fn panic(message: fmtstr) -> U {\n assert(false, message);\n crate::mem::zeroed()\n}\n","path":"std/panic.nr"},"70":{"source":"// docs:start:easy_private_token_contract\nuse dep::aztec::macros::aztec;\n\n#[aztec]\ncontract Profile {\n // use dep::aztec::prelude::{AztecAddress, Map};\n use dep::aztec::{\n note::utils::compute_note_hash_for_nullify, keys::getters::get_nsk_app, oracle::random::random,\n encrypted_logs::encrypted_note_emission::encode_and_encrypt_note,\n note::constants::MAX_NOTES_PER_PAGE,\n keys::getters::get_public_keys, prelude::{AztecAddress, PrivateSet, SharedImmutable, Map, NullifiableNote, NoteHeader, PrivateContext, NoteViewerOptions},\n protocol_types::{constants::GENERATOR_INDEX__NOTE_NULLIFIER, hash::poseidon2_hash_with_separator, traits::{Empty, Eq}},\n macros::notes::partial_note\n };\n use dep::value_note::balance_utils;\n use dep::easy_private_state::EasyPrivateUint;\n use dep::aztec::macros::{storage::storage, functions::{initializer, private}};\n use dep::value_note::value_note::ValueNote;\n \n #[partial_note(quote { token_id})]\n struct ProfileNFT {\n token_id: Field,\n is_adult: bool,\n npk_m_hash: Field,\n }\n\n impl ProfileNFT {\n pub fn new(token_id: Field, is_adult: bool, npk_m_hash: Field) -> Self {\n ProfileNFT { token_id, is_adult, npk_m_hash, header: NoteHeader::empty() }\n }\n }\n\n impl Eq for ProfileNFT {\n fn eq(self, other: Self) -> bool {\n (self.token_id == other.token_id)\n & (self.npk_m_hash == other.npk_m_hash)\n }\n }\n\n impl NullifiableNote for ProfileNFT {\n fn compute_nullifier(self, context: &mut PrivateContext, note_hash_for_nullify: Field) -> Field {\n let secret = context.request_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n\n unconstrained fn compute_nullifier_without_context(self) -> Field {\n let note_hash_for_nullify = compute_note_hash_for_nullify(self);\n let secret = get_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n}\n\n #[storage]\n struct Storage {\n balances: Map, Context>,\n // is_adult: Map, Context>,\n is_adult: PrivateSet,\n profile_nfts: Map, Context>,\n }\n\n /**\n * initialize the contract's initial state variables.\n */\n #[private]\n #[initializer]\n fn constructor(initial_supply: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n let balances = storage.balances;\n\n balances.at(owner).add(initial_supply, owner, outgoing_viewer);\n }\n\n // Mints `amount` of tokens to `owner`.\n #[private]\n fn mint(amount: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n // TODO: private fn create a ZKP automatically? How to check this?\n let balances = storage.balances;\n // let is_adult = storage.is_adult;\n\n balances.at(owner).add(amount, owner, outgoing_viewer);\n // is_adult.at(owner).add(amount, owner, outgoing_viewer);\n }\n\n #[private]\n fn update_is_adult(amount: u64, owner: AztecAddress, recipient: AztecAddress) { // should I use recipient's Ivpk for encryption?\n let is_adult = storage.is_adult;\n let note_creator = context.msg_sender();\n let note_creator_keys = get_public_keys(note_creator);\n \n // Note creation\n // TODO: how to put recipient address for decryption?\n let mut note = ValueNote::new(amount as Field, note_creator_keys.npk_m.hash());\n\n // Note event emission. Guess this will be used for proving?\n is_adult.insert(&mut note).emit(encode_and_encrypt_note(\n &mut context,\n note_creator_keys.ovpk_m,\n note_creator_keys.ivpk_m, // Ivpk is used to encrypt a note for a recipient and the corresponding secret key (ivsk) is used by the recipient during decryption.\n note_creator,\n ));\n }\n\n #[private]\n fn mintNFT(to: AztecAddress, token_id: Field, is_adult: bool) {\n let profile_nfts = storage.profile_nfts;\n let to_keys = get_public_keys(to);\n let mut nft_note = ProfileNFT::new(token_id, is_adult, to_keys.npk_m.hash());\n // TODO: sending event to the NFT owner after update storage. Is this meaningful? Can it be a proof?\n profile_nfts.at(to).insert(&mut nft_note).emit(encode_and_encrypt_note( \n &mut context, \n to_keys.ovpk_m,\n to_keys.ivpk_m,\n to\n ));\n }\n\n unconstrained fn get_profile_nfts(owner: AztecAddress, page_index: u32) -> [(Field, bool); 10] {\n let offset = page_index * MAX_NOTES_PER_PAGE;\n let mut options = NoteViewerOptions::new();\n let profile_nfts = storage.profile_nfts;\n let notes = profile_nfts.at(owner).view_notes(options.set_offset(offset));\n let mut owned_nft_ids = [(0, false); MAX_NOTES_PER_PAGE];\n // let mut owned_nft_ids = [false; MAX_NOTES_PER_PAGE];\n\n for i in 0..options.limit {\n if i < notes.len() {\n // owned_nft_ids[i] = [notes.get_unchecked(i).token_id, notes.get_unchecked(i).is_adult];\n owned_nft_ids[i] = (notes.get_unchecked(i).token_id, notes.get_unchecked(i).is_adult);\n }\n }\n\n (owned_nft_ids)\n }\n}","path":"/Users/kim/dev/aztec-private-counter/contracts/ProfileContract/src/main.nr"},"76":{"source":"use crate::context::{PrivateContext, PublicContext};\nuse crate::note::{\n note_header::NoteHeader, note_interface::{NoteInterface, NullifiableNote},\n utils::{compute_note_hash_for_read_request, compute_note_hash_for_nullify_internal},\n note_emission::NoteEmission\n};\nuse crate::oracle::notes::{notify_created_note, notify_nullified_note};\n\npub fn create_note(\n context: &mut PrivateContext,\n storage_slot: Field,\n note: &mut Note\n) -> NoteEmission where Note: NoteInterface + NullifiableNote {\n let contract_address = (*context).this_address();\n let note_hash_counter = context.side_effect_counter;\n\n let header = NoteHeader { contract_address, storage_slot, nonce: 0, note_hash_counter };\n note.set_header(header);\n let note_hash = note.compute_note_hash();\n\n let serialized_note = Note::serialize_content(*note);\n notify_created_note(\n storage_slot,\n Note::get_note_type_id(),\n serialized_note,\n note_hash,\n note_hash_counter\n );\n\n context.push_note_hash(note_hash);\n\n NoteEmission::new(*note)\n}\n\npub fn create_note_hash_from_public(\n context: &mut PublicContext,\n storage_slot: Field,\n note: &mut Note\n) where Note: NoteInterface + NullifiableNote {\n let contract_address = (*context).this_address();\n // Public note hashes are transient, but have no side effect counters, so we just need note_hash_counter != 0\n let header = NoteHeader { contract_address, storage_slot, nonce: 0, note_hash_counter: 1 };\n note.set_header(header);\n let note_hash = note.compute_note_hash();\n\n context.push_note_hash(note_hash);\n}\n\n// Note: This function is currently totally unused.\npub fn destroy_note(\n context: &mut PrivateContext,\n note: Note\n) where Note: NoteInterface + NullifiableNote {\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n\n destroy_note_unsafe(context, note, note_hash_for_read_request)\n}\n\npub fn destroy_note_unsafe(\n context: &mut PrivateContext,\n note: Note,\n note_hash_for_read_request: Field\n) where Note: NoteInterface + NullifiableNote {\n let note_hash_for_nullify = compute_note_hash_for_nullify_internal(note, note_hash_for_read_request);\n let nullifier = note.compute_nullifier(context, note_hash_for_nullify);\n\n let note_hash_counter = note.get_header().note_hash_counter;\n let notification_note_hash = if (note_hash_counter == 0) {\n // Counter is zero, so we're nullifying a settled note and we don't populate the note_hash with real value.\n 0\n } else {\n // A non-zero note hash counter implies that we're nullifying a pending note (i.e. one that has not yet been\n // persisted in the trees and is instead in the pending new note hashes array). In such a case we populate its\n // hash with real value to inform the kernel which note we're nullifyng so that it can either squash both\n // the note and the nullifier if it's an inner note hash, or check that the it matches a pending note if it's\n // a siloed note hash.\n note_hash_for_nullify\n };\n\n let nullifier_counter = context.side_effect_counter;\n notify_nullified_note(nullifier, notification_note_hash, nullifier_counter);\n\n context.push_nullifier_for_note_hash(nullifier, notification_note_hash)\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/lifecycle.nr"},"77":{"source":"use crate::{\n context::PrivateContext,\n note::{note_header::NoteHeader, note_interface::{NullifiableNote, NoteInterface}}\n};\n\nuse dep::protocol_types::{\n hash::{\n compute_unique_note_hash, compute_siloed_note_hash as compute_siloed_note_hash,\n compute_siloed_nullifier as compute_siloed_nullifier_from_preimage\n},\n utils::arr_copy_slice\n};\n\npub fn compute_siloed_nullifier(\n note_with_header: Note,\n context: &mut PrivateContext\n) -> Field where Note: NoteInterface + NullifiableNote {\n let header = note_with_header.get_header();\n let note_hash_for_nullify = compute_note_hash_for_nullify(note_with_header);\n let inner_nullifier = note_with_header.compute_nullifier(context, note_hash_for_nullify);\n\n compute_siloed_nullifier_from_preimage(header.contract_address, inner_nullifier)\n}\n\n// TODO(#7775): make this not impossible to understand\npub fn compute_note_hash_for_read_request(note: Note) -> Field where Note: NoteInterface + NullifiableNote {\n let note_hash = note.compute_note_hash();\n let nonce = note.get_header().nonce;\n let counter = note.get_header().note_hash_counter;\n\n if counter != 0 {\n note_hash\n } else {\n compute_unique_note_hash(nonce, note_hash)\n }\n}\n\n// TODO(#7775): make this not impossible to understand\npub fn compute_note_hash_for_nullify_internal(\n note: Note,\n note_hash_for_read_request: Field\n) -> Field where Note: NoteInterface + NullifiableNote {\n let header = note.get_header();\n\n if header.note_hash_counter != 0 {\n if header.nonce == 0 {\n // Case 1: Transient note\n note_hash_for_read_request\n } else {\n // Case 2: Non-revertible note, nullified by a revertible nullifier\n let unique_note_hash = compute_unique_note_hash(header.nonce, note_hash_for_read_request);\n compute_siloed_note_hash(header.contract_address, unique_note_hash)\n }\n } else {\n // Case 3: Note from a previous transaction\n // note_hash_for_read_request is already the unique_note_hash in this case\n compute_siloed_note_hash(header.contract_address, note_hash_for_read_request)\n }\n}\n\n// TODO(#7775): nuke this commented out code - kept it around as it contains comments which might be helpful when tackling #7775\n// pub fn compute_note_hash_for_nullify(note: Note) -> Field where Note: NoteInterface {\n// let header = note.get_header();\n// // There are 3 cases for reading a note intended for consumption:\n// // 1. The note was inserted in this transaction, is revertible, or is not nullified by a revertible nullifier in\n// // the same transaction: (note_hash_counter != 0) & (nonce == 0)\n// // 2. The note was inserted in this transaction, is non-revertible, and is nullified by a revertible nullifier in\n// // the same transaction: (note_hash_counter != 0) & (nonce != 0)\n// // 3. The note was inserted in a previous transaction: (note_hash_counter == 0) & (nonce != 0)\n\n// let note_hash = note.compute_note_hiding_point().x;\n\n// if header.nonce == 0 {\n// // Case 1.\n// // If a note is transient, we just read the note_hash (kernel will hash it with nonce and silo by contract address).\n// note_hash\n// } else {\n// // Case 2: If a note is non-revertible, and is nullified by a revertible nullifier, we cannot squash them in the\n// // private reset circuit. Because if the tx reverts, we will have to keep the note hash and throw away the\n// // nullifier.\n// // And if the tx does not revert, both will be emitted. In which case, the nullifier must be created in the app\n// // from the siloed note hash.\n// // The kernel circuit will check that a nullifier with non-zero note_nonce is linked to a note hash, whose\n// // siloed note hash matches the note hash specified in the nullifier.\n\n// // Case 3: If a note is not from the current transaction, that means we are reading a settled note (from\n// // tree) created in a previous TX. So we need the siloed_note_hash which has already been hashed with\n// // nonce and then contract address. This hash will match the existing leaf in the note hash\n// // tree, so the kernel can just perform a membership check directly on this hash/leaf.\n// let unique_note_hash = compute_unique_note_hash(header.nonce, note_hash);\n// compute_siloed_note_hash(header.contract_address, unique_note_hash)\n// // IMPORTANT NOTE ON REDUNDANT SILOING BY CONTRACT ADDRESS: The note hash computed above is\n// // \"siloed\" by contract address. When a note hash is computed solely for the purpose of\n// // nullification, it is not strictly necessary to silo the note hash before computing\n// // its nullifier. In other words, it is NOT NECESSARY for protocol security that a nullifier\n// // be computed from a siloed note hash. After all, persistable note hashes and nullifiers are\n// // siloed by the kernel circuit. That being said, the siloed note hash computed above CAN be\n// // used for nullifier computation, and this achieves the (arguably unnecessary) property that\n// // nullifiers are computed from a note hash's fully-computed note hash tree leaf.\n// }\n// }\n\npub fn compute_note_hash_for_nullify(note: Note) -> Field where Note: NoteInterface + NullifiableNote {\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n compute_note_hash_for_nullify_internal(note, note_hash_for_read_request)\n}\n\nunconstrained pub fn compute_note_hash_and_optionally_a_nullifier(\n deserialize_content: fn([Field; N]) -> T,\n note_header: NoteHeader,\n compute_nullifier: bool,\n serialized_note: [Field; S]\n) -> [Field; 4] where T: NoteInterface + NullifiableNote {\n let mut note = deserialize_content(arr_copy_slice(serialized_note, [0; N], 0));\n note.set_header(note_header);\n\n let note_hash = note.compute_note_hash();\n let unique_note_hash = compute_unique_note_hash(note_header.nonce, note_hash);\n let siloed_note_hash = compute_siloed_note_hash(note_header.contract_address, unique_note_hash);\n\n let inner_nullifier = if compute_nullifier {\n note.compute_nullifier_without_context()\n } else {\n 0\n };\n // docs:start:compute_note_hash_and_optionally_a_nullifier_returns\n [note_hash, unique_note_hash, siloed_note_hash, inner_nullifier]\n // docs:end:compute_note_hash_and_optionally_a_nullifier_returns\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/utils.nr"},"79":{"source":"use dep::protocol_types::{constants::{MAX_NOTE_HASH_READ_REQUESTS_PER_CALL, GET_NOTES_ORACLE_RETURN_LENGTH}};\nuse crate::context::PrivateContext;\nuse crate::note::{\n constants::{GET_NOTE_ORACLE_RETURN_LENGTH, VIEW_NOTE_ORACLE_RETURN_LENGTH},\n note_getter_options::{NoteGetterOptions, Select, Sort, SortOrder, NoteStatus, PropertySelector},\n note_interface::{NoteInterface, NullifiableNote}, note_viewer_options::NoteViewerOptions,\n utils::compute_note_hash_for_read_request\n};\nuse crate::oracle;\nuse crate::utils::comparison::compare;\n\npub use crate::note::constants::MAX_NOTES_PER_PAGE;\n\nmod test;\n\nfn extract_property_value_from_selector(\n serialized_note: [Field; N],\n selector: PropertySelector\n) -> Field {\n // Selectors use PropertySelectors in order to locate note properties inside the serialized note.\n // This allows easier packing and custom (de)serialization schemas. A note property is located\n // inside the serialized note using the index inside the array, a byte offset and a length.\n let value: [u8; 32] = serialized_note[selector.index].to_be_bytes();\n let offset = selector.offset;\n let length = selector.length;\n let mut value_field = 0 as Field;\n let mut acc: Field = 1;\n for i in 0..32 {\n if i < length {\n value_field += value[31 + offset - i] as Field * acc;\n acc = acc * 256;\n }\n }\n value_field\n}\n\nfn check_note_header(\n context: PrivateContext,\n storage_slot: Field,\n note: Note\n) where Note: NoteInterface {\n let header = note.get_header();\n let contract_address = context.this_address();\n assert(header.contract_address.eq(contract_address), \"Mismatch note header contract address.\");\n assert(header.storage_slot == storage_slot, \"Mismatch note header storage slot.\");\n}\n\nfn check_note_fields(\n serialized_note: [Field; N],\n selects: BoundedVec, N>\n) {\n for i in 0..selects.len {\n let select = selects.get_unchecked(i).unwrap_unchecked();\n let value_field = extract_property_value_from_selector(serialized_note, select.property_selector);\n\n assert(\n compare(value_field, select.comparator, select.value.to_field()), \"Mismatch return note field.\"\n );\n }\n}\n\nfn check_notes_order(\n fields_0: [Field; N],\n fields_1: [Field; N],\n sorts: BoundedVec, N>\n) {\n for i in 0..sorts.len {\n let sort = sorts.get_unchecked(i).unwrap_unchecked();\n let field_0 = extract_property_value_from_selector(fields_0, sort.property_selector);\n let field_1 = extract_property_value_from_selector(fields_1, sort.property_selector);\n let eq = field_0 == field_1;\n let lt = field_0.lt(field_1);\n if sort.order == SortOrder.ASC {\n assert(eq | lt, \"Return notes not sorted in ascending order.\");\n } else if !eq {\n assert(!lt, \"Return notes not sorted in descending order.\");\n }\n }\n}\n\npub fn get_note(\n context: &mut PrivateContext,\n storage_slot: Field\n) -> (Note, Field) where Note: NoteInterface + NullifiableNote {\n let note = unsafe {\n get_note_internal(storage_slot)\n };\n\n // Constraining that we got a valid note from the oracle is fairly straightforward: all we need to do is check that\n // the metadata is correct, and that the note exists.\n check_note_header(*context, storage_slot, note);\n\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n context.push_note_hash_read_request(note_hash_for_read_request);\n\n (note, note_hash_for_read_request)\n}\n\npub fn get_notes(\n context: &mut PrivateContext,\n storage_slot: Field,\n options: NoteGetterOptions\n) -> (BoundedVec, BoundedVec) where Note: NoteInterface + NullifiableNote + Eq {\n let opt_notes = unsafe {\n get_notes_internal(storage_slot, options)\n };\n\n // We apply the constraints in a separate function instead of inlining them here to make it easier to test that\n // these checks correctly reject bad notes.\n constrain_get_notes_internal(context, storage_slot, opt_notes, options)\n}\n\nunconstrained fn apply_preprocessor(\n notes: [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL],\n preprocessor: fn([Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL], PREPROCESSOR_ARGS) -> [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL],\n preprocessor_args: PREPROCESSOR_ARGS\n) -> [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL] {\n preprocessor(notes, preprocessor_args)\n}\n\nfn constrain_get_notes_internal(\n context: &mut PrivateContext,\n storage_slot: Field,\n opt_notes: [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL],\n options: NoteGetterOptions\n) -> (BoundedVec, BoundedVec) where Note: NoteInterface + NullifiableNote + Eq {\n // The filter is applied first to avoid pushing note read requests for notes we're not interested in. Note that\n // while the filter function can technically mutate the contents of the notes (as opposed to simply removing some),\n // the private kernel will later validate that these note actually exist, so transformations would cause for that\n // check to fail.\n let filter_fn = options.filter;\n let filter_args = options.filter_args;\n let filtered_notes = filter_fn(opt_notes, filter_args);\n\n let notes = crate::utils::collapse_array(filtered_notes);\n let mut note_hashes: BoundedVec = BoundedVec::new();\n\n // We have now collapsed the sparse array of Options into a BoundedVec. This is a more ergonomic type and also\n // results in reduced gate counts when setting a limit value, since we guarantee that the limit is an upper bound\n // for the runtime length, and can therefore have fewer loop iterations.\n assert(notes.len() <= options.limit, \"Got more notes than limit.\");\n\n let mut prev_fields = [0; N];\n for i in 0..options.limit {\n if i < notes.len() {\n let note = notes.get_unchecked(i);\n let fields = note.serialize_content();\n check_note_header(*context, storage_slot, note);\n check_note_fields(fields, options.selects);\n if i != 0 {\n check_notes_order(prev_fields, fields, options.sorts);\n }\n prev_fields = fields;\n\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n // TODO(https://github.com/AztecProtocol/aztec-packages/issues/1410): test to ensure\n // failure if malicious oracle injects 0 nonce here for a \"pre-existing\" note.\n context.push_note_hash_read_request(note_hash_for_read_request);\n note_hashes.push(note_hash_for_read_request);\n };\n }\n\n (notes, note_hashes)\n}\n\nunconstrained fn get_note_internal(storage_slot: Field) -> Note where Note: NoteInterface {\n let placeholder_note = [Option::none()];\n let placeholder_fields = [0; GET_NOTE_ORACLE_RETURN_LENGTH];\n let placeholder_note_length = [0; N];\n oracle::notes::get_notes(\n storage_slot,\n 0,\n [],\n [],\n [],\n [],\n [],\n [],\n [],\n [],\n [],\n 1, // limit\n 0, // offset\n NoteStatus.ACTIVE,\n placeholder_note,\n placeholder_fields,\n placeholder_note_length\n )[0].expect(f\"Failed to get a note\") // Notice: we don't allow dummies to be returned from get_note (singular).\n}\n\nunconstrained fn get_notes_internal(\n storage_slot: Field,\n options: NoteGetterOptions\n) -> [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL] where Note: NoteInterface {\n // This function simply performs some transformations from NoteGetterOptions into the types required by the oracle.\n\n let (num_selects, select_by_indexes, select_by_offsets, select_by_lengths, select_values, select_comparators, sort_by_indexes, sort_by_offsets, sort_by_lengths, sort_order) = flatten_options(options.selects, options.sorts);\n let placeholder_opt_notes = [Option::none(); MAX_NOTE_HASH_READ_REQUESTS_PER_CALL];\n let placeholder_fields = [0; GET_NOTES_ORACLE_RETURN_LENGTH];\n let placeholder_note_length = [0; N];\n\n let opt_notes = oracle::notes::get_notes(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n options.limit,\n options.offset,\n options.status,\n placeholder_opt_notes,\n placeholder_fields,\n placeholder_note_length\n );\n\n apply_preprocessor(opt_notes, options.preprocessor, options.preprocessor_args)\n}\n\nunconstrained pub fn view_notes(\n storage_slot: Field,\n options: NoteViewerOptions\n) -> BoundedVec where Note: NoteInterface {\n let (num_selects, select_by_indexes, select_by_offsets, select_by_lengths, select_values, select_comparators, sort_by_indexes, sort_by_offsets, sort_by_lengths, sort_order) = flatten_options(options.selects, options.sorts);\n let placeholder_opt_notes = [Option::none(); MAX_NOTES_PER_PAGE];\n let placeholder_fields = [0; VIEW_NOTE_ORACLE_RETURN_LENGTH];\n let placeholder_note_length = [0; N];\n\n let notes_array = oracle::notes::get_notes(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n options.limit,\n options.offset,\n options.status,\n placeholder_opt_notes,\n placeholder_fields,\n placeholder_note_length\n );\n\n let mut notes = BoundedVec::new();\n for i in 0..notes_array.len() {\n if notes_array[i].is_some() {\n notes.push(notes_array[i].unwrap_unchecked());\n }\n }\n\n notes\n}\n\nunconstrained fn flatten_options(\n selects: BoundedVec, N>,\n sorts: BoundedVec, N>\n) -> (u8, [u8; N], [u8; N], [u8; N], [Field; N], [u8; N], [u8; N], [u8; N], [u8; N], [u8; N]) {\n let mut num_selects = 0;\n let mut select_by_indexes = [0; N];\n let mut select_by_offsets = [0; N];\n let mut select_by_lengths = [0; N];\n let mut select_values = [0; N];\n let mut select_comparators = [0; N];\n\n for i in 0..selects.len {\n let select = selects.get(i);\n if select.is_some() {\n select_by_indexes[num_selects] = select.unwrap_unchecked().property_selector.index;\n select_by_offsets[num_selects] = select.unwrap_unchecked().property_selector.offset;\n select_by_lengths[num_selects] = select.unwrap_unchecked().property_selector.length;\n select_values[num_selects] = select.unwrap_unchecked().value;\n select_comparators[num_selects] = select.unwrap_unchecked().comparator;\n num_selects += 1;\n };\n }\n\n let mut sort_by_indexes = [0; N];\n let mut sort_by_offsets = [0; N];\n let mut sort_by_lengths = [0; N];\n let mut sort_order = [0; N];\n for i in 0..sorts.len {\n let sort = sorts.get(i);\n if sort.is_some() {\n sort_by_indexes[i] = sort.unwrap_unchecked().property_selector.index;\n sort_by_offsets[i] = sort.unwrap_unchecked().property_selector.offset;\n sort_by_lengths[i] = sort.unwrap_unchecked().property_selector.length;\n sort_order[i] = sort.unwrap_unchecked().order;\n };\n }\n\n (\n num_selects, select_by_indexes, select_by_offsets, select_by_lengths, select_values, select_comparators, sort_by_indexes, sort_by_offsets, sort_by_lengths, sort_order\n )\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/note_getter/mod.nr"},"82":{"source":"/**\n * A note emission struct containing the information required for emitting a note.\n * The exact `emit` logic is passed in by the application code\n */\npub struct NoteEmission {\n note: Note\n}\n\nimpl NoteEmission {\n pub fn new(note: Note) -> Self {\n Self { note }\n }\n\n pub fn emit(self, _emit: fn[Env](Self) -> ()) {\n _emit(self);\n }\n\n pub fn discard(_self: Self) {}\n}\n\n/**\n * A struct wrapping note emission in `Option`.\n * This is the struct provided to application codes, which can be used to emit\n * only when a note was actually inserted.\n * It is fairly common to have cases where a function conditionally inserts,\n * and this allows us to keep the same API for emission in both cases (e.g. inserting\n * a change note in a token's transfer function only when there is \"change\" left).\n */\npub struct OuterNoteEmission {\n emission: Option>,\n}\n\nimpl OuterNoteEmission {\n pub fn new(emission: Option>) -> Self {\n Self { emission }\n }\n\n pub fn emit(self, _emit: fn[Env](NoteEmission) -> ()) {\n if self.emission.is_some() {\n _emit(self.emission.unwrap());\n }\n }\n\n pub fn discard(_self: Self) {}\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/note_emission.nr"},"83":{"source":"use std::option::Option;\nuse crate::note::note_getter_options::{PropertySelector, Select, Sort, NoteStatus};\nuse dep::protocol_types::traits::ToField;\nuse crate::note::note_interface::NoteInterface;\nuse crate::note::constants::MAX_NOTES_PER_PAGE;\n\n// docs:start:NoteViewerOptions\npub struct NoteViewerOptions {\n selects: BoundedVec, N>,\n sorts: BoundedVec, N>,\n limit: u32,\n offset: u32,\n status: u8,\n}\n// docs:end:NoteViewerOptions\n\nimpl NoteViewerOptions {\n pub fn new() -> NoteViewerOptions where Note: NoteInterface {\n NoteViewerOptions {\n selects: BoundedVec::new(),\n sorts: BoundedVec::new(),\n limit: MAX_NOTES_PER_PAGE as u32,\n offset: 0,\n status: NoteStatus.ACTIVE\n }\n }\n\n // This method adds a `Select` criterion to the options.\n // It takes a field_index indicating which field to select,\n // a value representing the specific value to match in that field, and\n // a comparator (For possible values of comparators, please see the Comparator enum from note_getter_options)\n pub fn select(\n &mut self,\n property_selector: PropertySelector,\n comparator: u8,\n value: T\n ) -> Self where T: ToField {\n self.selects.push(Option::some(Select::new(property_selector, comparator, value.to_field())));\n *self\n }\n\n pub fn sort(&mut self, property_selector: PropertySelector, order: u8) -> Self {\n self.sorts.push(Option::some(Sort::new(property_selector, order)));\n *self\n }\n\n pub fn set_limit(&mut self, limit: u32) -> Self {\n assert(limit <= MAX_NOTES_PER_PAGE as u32);\n // By requesting that the limit is a constant, we guarantee that it will be possible to loop over it, reducing\n // gate counts when a limit has been set. This isn't required in unconstrained code, but we still keep this\n // requirement here for API consistency.\n assert_constant(limit);\n self.limit = limit;\n *self\n }\n\n pub fn set_offset(&mut self, offset: u32) -> Self {\n self.offset = offset;\n *self\n }\n\n // This method sets the status value, which determines whether to retrieve active or nullified notes.\n pub fn set_status(&mut self, status: u8) -> Self {\n self.status = status;\n *self\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/note_viewer_options.nr"},"91":{"source":"use dep::protocol_types::{address::AztecAddress, traits::Deserialize};\nuse crate::oracle::{execution::{get_chain_id, get_version, get_contract_address, get_block_number}, storage::storage_read};\n\npub struct UnconstrainedContext {\n block_number: u32,\n contract_address: AztecAddress,\n version: Field,\n chain_id: Field,\n}\n\nimpl UnconstrainedContext {\n unconstrained fn new() -> Self {\n // We could call these oracles on the getters instead of at creation, which makes sense given that they might\n // not even be accessed. However any performance gains are minimal, and we'd rather fail early if a user\n // incorrectly attempts to create an UnconstrainedContext in an environment in which these oracles are not\n // available.\n let block_number = get_block_number();\n let contract_address = get_contract_address();\n let chain_id = get_chain_id();\n let version = get_version();\n Self { block_number, contract_address, version, chain_id }\n }\n\n unconstrained fn at(contract_address: AztecAddress) -> Self {\n let block_number = get_block_number();\n let chain_id = get_chain_id();\n let version = get_version();\n Self { block_number, contract_address, version, chain_id }\n }\n\n unconstrained fn at_historical(contract_address: AztecAddress, block_number: u32) -> Self {\n let chain_id = get_chain_id();\n let version = get_version();\n Self { block_number, contract_address, version, chain_id }\n }\n\n fn block_number(self) -> u32 {\n self.block_number\n }\n\n fn this_address(self) -> AztecAddress {\n self.contract_address\n }\n\n fn version(self) -> Field {\n self.version\n }\n\n fn chain_id(self) -> Field {\n self.chain_id\n }\n\n unconstrained fn raw_storage_read(self: Self, storage_slot: Field) -> [Field; N] {\n storage_read(self.this_address(), storage_slot, self.block_number())\n }\n\n unconstrained fn storage_read(\n self,\n storage_slot: Field\n ) -> T where T: Deserialize {\n T::deserialize(self.raw_storage_read(storage_slot))\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/context/unconstrained_context.nr"},"93":{"source":"use crate::{\n context::{inputs::PrivateContextInputs, packed_returns::PackedReturns},\n messaging::process_l1_to_l2_message, hash::{hash_args_array, ArgsHasher},\n keys::constants::{NULLIFIER_INDEX, OUTGOING_INDEX, NUM_KEY_TYPES, sk_generators},\n oracle::{\n key_validation_request::get_key_validation_request, arguments, returns::pack_returns,\n call_private_function::call_private_function_internal, header::get_header_at,\n logs::{emit_encrypted_note_log, emit_encrypted_event_log},\n enqueue_public_function_call::{\n enqueue_public_function_call_internal, notify_set_min_revertible_side_effect_counter,\n set_public_teardown_function_call_internal\n}\n}\n};\nuse dep::protocol_types::{\n abis::{\n call_context::CallContext, function_selector::FunctionSelector, max_block_number::MaxBlockNumber,\n validation_requests::{KeyValidationRequest, KeyValidationRequestAndGenerator},\n private_call_request::PrivateCallRequest, private_circuit_public_inputs::PrivateCircuitPublicInputs,\n public_call_request::PublicCallRequest, read_request::ReadRequest, note_hash::NoteHash,\n nullifier::Nullifier, log_hash::{LogHash, NoteLogHash, EncryptedLogHash}\n},\n address::{AztecAddress, EthAddress},\n constants::{\n MAX_NOTE_HASHES_PER_CALL, MAX_L2_TO_L1_MSGS_PER_CALL, MAX_NULLIFIERS_PER_CALL,\n MAX_PRIVATE_CALL_STACK_LENGTH_PER_CALL, MAX_PUBLIC_CALL_STACK_LENGTH_PER_CALL,\n MAX_NOTE_HASH_READ_REQUESTS_PER_CALL, MAX_NULLIFIER_READ_REQUESTS_PER_CALL,\n MAX_KEY_VALIDATION_REQUESTS_PER_CALL, MAX_ENCRYPTED_LOGS_PER_CALL, MAX_UNENCRYPTED_LOGS_PER_CALL,\n MAX_NOTE_ENCRYPTED_LOGS_PER_CALL, PUBLIC_DISPATCH_SELECTOR\n},\n header::Header, messaging::l2_to_l1_message::L2ToL1Message, traits::Empty\n};\n\n// When finished, one can call .finish() to convert back to the abi\npub struct PrivateContext {\n // docs:start:private-context\n inputs: PrivateContextInputs,\n side_effect_counter: u32,\n\n min_revertible_side_effect_counter: u32,\n is_fee_payer: bool,\n\n args_hash: Field,\n return_hash: Field,\n\n max_block_number: MaxBlockNumber,\n\n note_hash_read_requests: BoundedVec,\n nullifier_read_requests: BoundedVec,\n key_validation_requests_and_generators: BoundedVec,\n\n note_hashes: BoundedVec,\n nullifiers: BoundedVec,\n\n private_call_requests : BoundedVec,\n public_call_requests : BoundedVec,\n public_teardown_call_request: PublicCallRequest,\n l2_to_l1_msgs : BoundedVec,\n // docs:end:private-context\n\n // Header of a block whose state is used during private execution (not the block the transaction is included in).\n historical_header: Header,\n\n note_encrypted_logs_hashes: BoundedVec,\n encrypted_logs_hashes: BoundedVec,\n unencrypted_logs_hashes: BoundedVec,\n\n // Contains the last key validation request for each key type. This is used to cache the last request and avoid\n // fetching the same request multiple times.\n // The index of the array corresponds to the key type (0 nullifier, 1 incoming, 2 outgoing, 3 tagging).\n last_key_validation_requests: [Option; NUM_KEY_TYPES],\n}\n\nimpl PrivateContext {\n pub fn new(inputs: PrivateContextInputs, args_hash: Field) -> PrivateContext {\n PrivateContext {\n inputs,\n side_effect_counter: inputs.start_side_effect_counter + 1,\n min_revertible_side_effect_counter: 0,\n is_fee_payer: false,\n args_hash,\n return_hash: 0,\n max_block_number: MaxBlockNumber::empty(),\n note_hash_read_requests: BoundedVec::new(),\n nullifier_read_requests: BoundedVec::new(),\n key_validation_requests_and_generators: BoundedVec::new(),\n note_hashes: BoundedVec::new(),\n nullifiers: BoundedVec::new(),\n historical_header: inputs.historical_header,\n private_call_requests: BoundedVec::new(),\n public_call_requests: BoundedVec::new(),\n public_teardown_call_request: PublicCallRequest::empty(),\n l2_to_l1_msgs: BoundedVec::new(),\n note_encrypted_logs_hashes: BoundedVec::new(),\n encrypted_logs_hashes: BoundedVec::new(),\n unencrypted_logs_hashes: BoundedVec::new(),\n last_key_validation_requests: [Option::none(); NUM_KEY_TYPES]\n }\n }\n\n fn msg_sender(self) -> AztecAddress {\n self.inputs.call_context.msg_sender\n }\n\n fn this_address(self) -> AztecAddress {\n self.inputs.call_context.storage_contract_address\n }\n\n fn chain_id(self) -> Field {\n self.inputs.tx_context.chain_id\n }\n\n fn version(self) -> Field {\n self.inputs.tx_context.version\n }\n\n fn selector(self) -> FunctionSelector {\n self.inputs.call_context.function_selector\n }\n\n fn get_args_hash(self) -> Field {\n self.args_hash\n }\n\n fn push_note_hash(&mut self, note_hash: Field) {\n self.note_hashes.push(NoteHash { value: note_hash, counter: self.next_counter() });\n }\n\n fn push_nullifier(&mut self, nullifier: Field) {\n self.nullifiers.push(Nullifier { value: nullifier, note_hash: 0, counter: self.next_counter() });\n }\n\n fn push_nullifier_for_note_hash(&mut self, nullifier: Field, nullified_note_hash: Field) {\n self.nullifiers.push(Nullifier { value: nullifier, note_hash: nullified_note_hash, counter: self.next_counter() });\n }\n\n // Returns the header of a block whose state is used during private execution (not the block the transaction is\n // included in).\n fn get_header(self) -> Header {\n self.historical_header\n }\n\n // Returns the header of an arbitrary block whose block number is less than or equal to the block number\n // of historical header.\n pub fn get_header_at(self, block_number: u32) -> Header {\n get_header_at(block_number, self)\n }\n\n pub fn set_return_hash(&mut self, returns_hasher: ArgsHasher) {\n pack_returns(returns_hasher.fields);\n self.return_hash = returns_hasher.hash();\n }\n\n pub fn finish(self) -> PrivateCircuitPublicInputs {\n PrivateCircuitPublicInputs {\n call_context: self.inputs.call_context,\n args_hash: self.args_hash,\n returns_hash: self.return_hash,\n min_revertible_side_effect_counter: self.min_revertible_side_effect_counter,\n is_fee_payer: self.is_fee_payer,\n max_block_number: self.max_block_number,\n note_hash_read_requests: self.note_hash_read_requests.storage,\n nullifier_read_requests: self.nullifier_read_requests.storage,\n key_validation_requests_and_generators: self.key_validation_requests_and_generators.storage,\n note_hashes: self.note_hashes.storage,\n nullifiers: self.nullifiers.storage,\n private_call_requests: self.private_call_requests.storage,\n public_call_requests: self.public_call_requests.storage,\n public_teardown_call_request: self.public_teardown_call_request,\n l2_to_l1_msgs: self.l2_to_l1_msgs.storage,\n start_side_effect_counter: self.inputs.start_side_effect_counter,\n end_side_effect_counter: self.side_effect_counter,\n note_encrypted_logs_hashes: self.note_encrypted_logs_hashes.storage,\n encrypted_logs_hashes: self.encrypted_logs_hashes.storage,\n unencrypted_logs_hashes: self.unencrypted_logs_hashes.storage,\n historical_header: self.historical_header,\n tx_context: self.inputs.tx_context\n }\n }\n\n pub fn set_as_fee_payer(&mut self) {\n dep::protocol_types::debug_log::debug_log_format(\"Setting {0} as fee payer\", [self.this_address().to_field()]);\n self.is_fee_payer = true;\n }\n\n pub fn end_setup(&mut self) {\n // dep::protocol_types::debug_log::debug_log_format(\n // \"Ending setup at counter {0}\",\n // [self.side_effect_counter as Field]\n // );\n self.min_revertible_side_effect_counter = self.side_effect_counter;\n notify_set_min_revertible_side_effect_counter(self.min_revertible_side_effect_counter);\n }\n\n // docs:start:max-block-number\n pub fn set_tx_max_block_number(&mut self, max_block_number: u32) {\n // docs:end:max-block-number\n self.max_block_number = MaxBlockNumber::min_with_u32(self.max_block_number, max_block_number);\n }\n\n pub fn push_note_hash_read_request(&mut self, note_hash: Field) {\n let side_effect = ReadRequest { value: note_hash, counter: self.next_counter() };\n self.note_hash_read_requests.push(side_effect);\n }\n\n pub fn push_nullifier_read_request(&mut self, nullifier: Field) {\n let request = ReadRequest { value: nullifier, counter: self.next_counter() };\n self.nullifier_read_requests.push(request);\n }\n\n pub fn request_nsk_app(&mut self, npk_m_hash: Field) -> Field {\n self.request_sk_app(npk_m_hash, NULLIFIER_INDEX)\n }\n\n pub fn request_ovsk_app(&mut self, ovpk_m_hash: Field) -> Field {\n self.request_sk_app(ovpk_m_hash, OUTGOING_INDEX)\n }\n\n fn request_sk_app(&mut self, pk_m_hash: Field, key_index: Field) -> Field {\n let cached_request = self.last_key_validation_requests[key_index].unwrap_or(KeyValidationRequest::empty());\n\n if cached_request.pk_m.hash() == pk_m_hash {\n // We get a match so the cached request is the latest one\n cached_request.sk_app\n } else {\n // We didn't get a match meaning the cached result is stale. We fetch new values from oracle and instruct\n // protocol circuits to validate them by storing the validation request in context.\n let request = get_key_validation_request(pk_m_hash, key_index);\n let request_and_generator = KeyValidationRequestAndGenerator { request, sk_app_generator: sk_generators[key_index] };\n // We constrain that the pk_m_hash matches the one in the request (otherwise we could get an arbitrary\n // valid key request and not the one corresponding to pk_m_hash).\n assert(request.pk_m.hash() == pk_m_hash);\n self.key_validation_requests_and_generators.push(request_and_generator);\n self.last_key_validation_requests[key_index] = Option::some(request);\n request.sk_app\n }\n }\n\n // docs:start:context_message_portal\n pub fn message_portal(&mut self, recipient: EthAddress, content: Field) {\n // docs:end:context_message_portal\n let message = L2ToL1Message { recipient, content, counter: self.next_counter() };\n self.l2_to_l1_msgs.push(message);\n }\n\n // docs:start:context_consume_l1_to_l2_message\n // docs:start:consume_l1_to_l2_message\n pub fn consume_l1_to_l2_message(&mut self, content: Field, secret: Field, sender: EthAddress) {\n // docs:end:context_consume_l1_to_l2_message\n let nullifier = process_l1_to_l2_message(\n self.historical_header.state.l1_to_l2_message_tree.root,\n self.this_address(),\n sender,\n self.chain_id(),\n self.version(),\n content,\n secret\n );\n\n // Push nullifier (and the \"commitment\" corresponding to this can be \"empty\")\n self.push_nullifier(nullifier)\n }\n // docs:end:consume_l1_to_l2_message\n\n // NB: A randomness value of 0 signals that the kernels should not mask the contract address\n // used in siloing later on e.g. 'handshaking' contract w/ known address.\n pub fn emit_raw_event_log_with_masked_address(\n &mut self,\n randomness: Field,\n log: [u8; M],\n log_hash: Field\n ) {\n let counter = self.next_counter();\n let contract_address = self.this_address();\n let len = log.len() as Field + 4;\n let side_effect = EncryptedLogHash { value: log_hash, counter, length: len, randomness };\n self.encrypted_logs_hashes.push(side_effect);\n\n emit_encrypted_event_log(contract_address, randomness, log, counter);\n }\n\n pub fn emit_raw_note_log(&mut self, note_hash_counter: u32, log: [u8; M], log_hash: Field) {\n let counter = self.next_counter();\n let len = log.len() as Field + 4;\n let side_effect = NoteLogHash { value: log_hash, counter, length: len, note_hash_counter };\n self.note_encrypted_logs_hashes.push(side_effect);\n\n emit_encrypted_note_log(note_hash_counter, log, counter);\n }\n\n pub fn call_private_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) -> PackedReturns {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_private_function_with_packed_args(contract_address, function_selector, args_hash, false, false)\n }\n\n pub fn static_call_private_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) -> PackedReturns {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_private_function_with_packed_args(contract_address, function_selector, args_hash, true, false)\n }\n\n pub fn delegate_call_private_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) -> PackedReturns {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_private_function_with_packed_args(contract_address, function_selector, args_hash, false, true)\n }\n\n pub fn call_private_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) -> PackedReturns {\n self.call_private_function_with_packed_args(contract_address, function_selector, 0, false, false)\n }\n\n pub fn static_call_private_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) -> PackedReturns {\n self.call_private_function_with_packed_args(contract_address, function_selector, 0, true, false)\n }\n\n pub fn delegate_call_private_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) -> PackedReturns {\n self.call_private_function_with_packed_args(contract_address, function_selector, 0, false, true)\n }\n\n pub fn call_private_function_with_packed_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args_hash: Field,\n is_static_call: bool,\n is_delegate_call: bool\n ) -> PackedReturns {\n let mut is_static_call = is_static_call | self.inputs.call_context.is_static_call;\n let start_side_effect_counter = self.side_effect_counter;\n let (end_side_effect_counter, returns_hash) = call_private_function_internal(\n contract_address,\n function_selector,\n args_hash,\n start_side_effect_counter,\n is_static_call,\n is_delegate_call\n );\n\n self.side_effect_counter = end_side_effect_counter + 1;\n\n // TODO (fees) figure out why this crashes the prover and enable it\n // we need this in order to pay fees inside child call contexts\n // assert(\n // (item.public_inputs.min_revertible_side_effect_counter == 0 as u32)\n // | (item.public_inputs.min_revertible_side_effect_counter\n // > self.min_revertible_side_effect_counter)\n // );\n\n // if item.public_inputs.min_revertible_side_effect_counter\n // > self.min_revertible_side_effect_counter {\n // self.min_revertible_side_effect_counter = item.public_inputs.min_revertible_side_effect_counter;\n // }\n\n let call_context = self.generate_call_context(\n contract_address,\n function_selector,\n is_static_call,\n is_delegate_call\n );\n\n self.private_call_requests.push(\n PrivateCallRequest {\n contract_address,\n call_context,\n args_hash,\n returns_hash,\n start_side_effect_counter,\n end_side_effect_counter\n }\n );\n\n PackedReturns::new(returns_hash)\n }\n\n pub fn call_public_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_public_function_with_packed_args(contract_address, function_selector, args_hash, false, false)\n }\n\n pub fn static_call_public_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_public_function_with_packed_args(contract_address, function_selector, args_hash, true, false)\n }\n\n pub fn delegate_call_public_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_public_function_with_packed_args(contract_address, function_selector, args_hash, false, true)\n }\n\n pub fn call_public_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) {\n self.call_public_function_with_packed_args(contract_address, function_selector, 0, false, false)\n }\n\n pub fn static_call_public_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) {\n self.call_public_function_with_packed_args(contract_address, function_selector, 0, true, false)\n }\n\n pub fn delegate_call_public_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) {\n self.call_public_function_with_packed_args(contract_address, function_selector, 0, false, true)\n }\n\n pub fn call_public_function_with_packed_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args_hash: Field,\n is_static_call: bool,\n is_delegate_call: bool\n ) {\n let counter = self.next_counter();\n\n let mut is_static_call = is_static_call | self.inputs.call_context.is_static_call;\n // TODO(https://github.com/AztecProtocol/aztec-packages/issues/8985): Fix this.\n // WARNING: This is insecure and should be temporary!\n // The oracle repacks the arguments and returns a new args_hash.\n // new_args = [selector, ...old_args], so as to make it suitable to call the public dispatch function.\n // We don't validate or compute it in the circuit because a) it's harder to do with slices, and\n // b) this is only temporary.\n let args_hash = enqueue_public_function_call_internal(\n contract_address,\n function_selector,\n args_hash,\n counter,\n is_static_call,\n is_delegate_call\n );\n\n // Public calls are rerouted through the dispatch function.\n let function_selector = comptime {\n FunctionSelector::from_field(PUBLIC_DISPATCH_SELECTOR)\n };\n let call_context = self.generate_call_context(\n contract_address,\n function_selector,\n is_static_call,\n is_delegate_call\n );\n\n let call_request = PublicCallRequest { contract_address, call_context, args_hash, counter };\n self.public_call_requests.push(call_request);\n }\n\n pub fn set_public_teardown_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.set_public_teardown_function_with_packed_args(contract_address, function_selector, args_hash, false, false)\n }\n\n pub fn set_public_teardown_function_with_packed_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args_hash: Field,\n is_static_call: bool,\n is_delegate_call: bool\n ) {\n let counter = self.next_counter();\n\n let mut is_static_call = is_static_call | self.inputs.call_context.is_static_call;\n // TODO(https://github.com/AztecProtocol/aztec-packages/issues/8985): Fix this.\n // WARNING: This is insecure and should be temporary!\n // The oracle repacks the arguments and returns a new args_hash.\n // new_args = [selector, ...old_args], so as to make it suitable to call the public dispatch function.\n // We don't validate or compute it in the circuit because a) it's harder to do with slices, and\n // b) this is only temporary.\n let args_hash = set_public_teardown_function_call_internal(\n contract_address,\n function_selector,\n args_hash,\n counter,\n is_static_call,\n is_delegate_call\n );\n\n let function_selector = comptime {\n FunctionSelector::from_field(PUBLIC_DISPATCH_SELECTOR)\n };\n let call_context = self.generate_call_context(\n contract_address,\n function_selector,\n is_static_call,\n is_delegate_call\n );\n\n self.public_teardown_call_request = PublicCallRequest {\n contract_address,\n call_context,\n args_hash,\n counter,\n };\n }\n\n fn generate_call_context(\n self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n is_static_call: bool,\n is_delegate_call: bool\n ) -> CallContext {\n let msg_sender = if is_delegate_call {\n self.msg_sender()\n } else {\n self.this_address()\n };\n let storage_contract_address = if is_delegate_call {\n self.this_address()\n } else {\n contract_address\n };\n CallContext { msg_sender, storage_contract_address, function_selector, is_static_call, is_delegate_call }\n }\n\n fn next_counter(&mut self) -> u32 {\n let counter = self.side_effect_counter;\n self.side_effect_counter += 1;\n counter\n }\n}\n\nimpl Empty for PrivateContext {\n fn empty() -> Self {\n PrivateContext {\n inputs: PrivateContextInputs::empty(),\n side_effect_counter: 0 as u32,\n min_revertible_side_effect_counter: 0 as u32,\n is_fee_payer: false,\n args_hash: 0,\n return_hash: 0,\n max_block_number: MaxBlockNumber::empty(),\n note_hash_read_requests: BoundedVec::new(),\n nullifier_read_requests: BoundedVec::new(),\n key_validation_requests_and_generators: BoundedVec::new(),\n note_hashes: BoundedVec::new(),\n nullifiers: BoundedVec::new(),\n private_call_requests: BoundedVec::new(),\n public_call_requests: BoundedVec::new(),\n public_teardown_call_request: PublicCallRequest::empty(),\n l2_to_l1_msgs: BoundedVec::new(),\n historical_header: Header::empty(),\n note_encrypted_logs_hashes: BoundedVec::new(),\n encrypted_logs_hashes: BoundedVec::new(),\n unencrypted_logs_hashes: BoundedVec::new(),\n last_key_validation_requests: [Option::none(); NUM_KEY_TYPES]\n }\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/context/private_context.nr"},"97":{"source":"use dep::protocol_types::{address::AztecAddress, scalar::Scalar, point::Point};\n\nuse crate::keys::{point_to_symmetric_key::point_to_symmetric_key, public_keys::ToPoint};\n\nuse std::aes128::aes128_encrypt;\n\npub struct EncryptedLogHeader {\n address: AztecAddress,\n}\n\nimpl EncryptedLogHeader {\n fn new(address: AztecAddress) -> Self {\n EncryptedLogHeader { address }\n }\n\n fn compute_ciphertext(self, secret: Scalar, pk: T) -> [u8; 48] where T: ToPoint {\n let full_key = point_to_symmetric_key(secret, pk.to_point());\n let mut sym_key = [0; 16];\n let mut iv = [0; 16];\n\n for i in 0..16 {\n sym_key[i] = full_key[i];\n iv[i] = full_key[i + 16];\n }\n\n let input: [u8; 32] = self.address.to_field().to_be_bytes();\n aes128_encrypt(input, iv, sym_key).as_array()\n }\n}\n\n#[test]\nunconstrained fn test_encrypted_log_header_matches_noir() {\n let address = AztecAddress::from_field(0xdeadbeef);\n let header = EncryptedLogHeader::new(address);\n let secret = Scalar {\n lo: 0x00000000000000000000000000000000649e7ca01d9de27b21624098b897babd,\n hi: 0x0000000000000000000000000000000023b3127c127b1f29a7adff5cccf8fb06\n };\n let point = crate::keys::public_keys::IvpkM {\n inner: Point {\n x: 0x2688431c705a5ff3e6c6f2573c9e3ba1c1026d2251d0dbbf2d810aa53fd1d186,\n y: 0x1e96887b117afca01c00468264f4f80b5bb16d94c1808a448595f115556e5c8e,\n is_infinite: false\n }\n };\n\n let ciphertext = header.compute_ciphertext(secret, point);\n\n // The following value was generated by `encrypted_log_header.test.ts`.\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let expected_header_ciphertext_from_typescript = [\n 226, 240, 253, 6, 28, 52, 19, 131, 33, 132, 178, 212, 245, 62, 14, 190, 194, 44, 7, 131, 160, 83, 64, 181, 98, 38, 153, 214, 62, 171, 253, 161, 111, 191, 28, 247, 216, 26, 222, 171, 176, 218, 48, 209, 73, 89, 200, 209\n ];\n\n assert_eq(ciphertext, expected_header_ciphertext_from_typescript);\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/encrypted_logs/header.nr"},"98":{"source":"use crate::{\n context::PrivateContext, note::{note_emission::NoteEmission, note_interface::NoteInterface},\n keys::{getters::get_ovsk_app, public_keys::{PublicKeys, OvpkM, IvpkM}},\n encrypted_logs::payload::compute_encrypted_log\n};\nuse dep::protocol_types::{hash::sha256_to_field, address::AztecAddress, abis::note_hash::NoteHash};\n\nfn compute_raw_note_log(\n context: PrivateContext,\n note: Note,\n ovsk_app: Field,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> (u32, [u8; 416 + N * 32], Field) where Note: NoteInterface {\n let note_header = note.get_header();\n let note_hash_counter = note_header.note_hash_counter;\n let storage_slot = note_header.storage_slot;\n\n // TODO(#8589): use typesystem to skip this check when not needed\n let note_exists = context.note_hashes.storage.any(|n: NoteHash| n.counter == note_hash_counter);\n assert(note_exists, \"Can only emit a note log for an existing note.\");\n\n let contract_address: AztecAddress = context.this_address();\n\n let plaintext = note.to_be_bytes(storage_slot);\n let encrypted_log: [u8; 416 + N * 32] = compute_encrypted_log(contract_address, ovsk_app, ovpk, ivpk, recipient, plaintext);\n let log_hash = sha256_to_field(encrypted_log);\n\n (note_hash_counter, encrypted_log, log_hash)\n}\n\nunconstrained fn compute_raw_note_log_unconstrained(\n context: PrivateContext,\n note: Note,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> (u32, [u8; 416 + N * 32], Field) where Note: NoteInterface {\n let ovsk_app = get_ovsk_app(ovpk.hash());\n compute_raw_note_log(context, note, ovsk_app, ovpk, ivpk, recipient)\n}\n\n// This function seems to be affected by the following Noir bug:\n// https://github.com/noir-lang/noir/issues/5771\n// If you get weird behavior it might be because of it.\npub fn encode_and_encrypt_note(\n context: &mut PrivateContext,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> fn[(&mut PrivateContext, OvpkM, IvpkM, AztecAddress)](NoteEmission) -> () where Note: NoteInterface {\n | e: NoteEmission | {\n let ovsk_app: Field = context.request_ovsk_app(ovpk.hash());\n\n let (note_hash_counter, encrypted_log, log_hash) = compute_raw_note_log(*context, e.note, ovsk_app, ovpk, ivpk, recipient);\n context.emit_raw_note_log(note_hash_counter, encrypted_log, log_hash);\n }\n}\n\npub fn encode_and_encrypt_note_unconstrained(\n context: &mut PrivateContext,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> fn[(&mut PrivateContext, OvpkM, IvpkM, AztecAddress)](NoteEmission) -> () where Note: NoteInterface {\n | e: NoteEmission | {\n // Having the log hash be unconstrained here is fine because the way this works is we send the log hash\n // to the kernel, and it gets included as part of its public inputs. Then we send the tx to the sequencer,\n // which includes the kernel proof and the log preimages. The sequencer computes the hashes of the logs\n // and checks that they are the ones in the public inputs of the kernel, and drops the tx otherwise (proposing\n // the block on L1 would later fail if it didn't because of txs effects hash mismatch).\n // So if we don't constrain the log hash, then a malicious sender can compute the correct log, submit a bad\n // log hash to the kernel, and then submit the bad log preimage to the sequencer. All checks will pass, but\n // the submitted log will not be the one that was computed by the app.\n // In the unconstrained case, we don't care about the log at all because we don't do anything with it,\n // and because it's unconstrained: it could be anything. So if a sender chooses to broadcast the tx with a log\n // that is different from the one that was used in the circuit, then they'll be able to, but they were already\n // able to change the log before anyway, so the end result is the same. It's important here that we do not\n // return the log from this function to the app, otherwise it could try to do stuff with it and then that might\n // be wrong.\n // Regarding the note hash counter, this is used for squashing. The kernel assumes that a given note can have\n // more than one log and removes all of the matching ones, so all a malicious sender could do is either: cause\n // for the log to be deleted when it shouldn't have (which is fine - they can already make the content be\n // whatever), or cause for the log to not be deleted when it should have (which is also fine - it'll be a log\n // for a note that doesn't exist).\n let (note_hash_counter, encrypted_log, log_hash) = unsafe {\n compute_raw_note_log_unconstrained(*context, e.note, ovpk, ivpk, recipient)\n };\n context.emit_raw_note_log(note_hash_counter, encrypted_log, log_hash);\n }\n}\n\n/// Encrypts a partial log and emits it. Takes recipient keys on the input and encrypts both the outgoing and incoming\n/// logs for the recipient. This is necessary because in the partial notes flow the outgoing always has to be the same\n/// as the incoming to not leak any information (typically the `from` party finalizing the partial note in public does\n/// not know who the recipient is).\npub fn encrypt_and_emit_partial_log(\n context: &mut PrivateContext,\n log_plaintext: [u8; M],\n recipient_keys: PublicKeys,\n recipient: AztecAddress\n) {\n let ovsk_app: Field = context.request_ovsk_app(recipient_keys.ovpk_m.hash());\n\n let encrypted_log: [u8; 352 + M] = compute_encrypted_log(\n context.this_address(),\n ovsk_app,\n recipient_keys.ovpk_m,\n recipient_keys.ivpk_m,\n recipient,\n log_plaintext\n );\n let log_hash = sha256_to_field(encrypted_log);\n\n // Unfortunately we need to push a dummy note hash to the context here because a note log requires having\n // a counter that corresponds to a note hash in the same call.\n let note_hash_counter = context.side_effect_counter;\n context.push_note_hash(5);\n\n context.emit_raw_note_log(note_hash_counter, encrypted_log, log_hash);\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/encrypted_logs/encrypted_note_emission.nr"},"100":{"source":"use dep::protocol_types::{\n address::AztecAddress, scalar::Scalar, point::Point, constants::GENERATOR_INDEX__SYMMETRIC_KEY,\n hash::poseidon2_hash_with_separator\n};\nuse std::{\n aes128::aes128_encrypt, embedded_curve_ops::fixed_base_scalar_mul as derive_public_key,\n hash::from_field_unsafe as fr_to_fq_unsafe, field::bn254::decompose\n};\n\nuse crate::{\n oracle::random::random, utils::point::point_to_bytes, encrypted_logs::{header::EncryptedLogHeader},\n keys::{point_to_symmetric_key::point_to_symmetric_key, public_keys::{OvpkM, IvpkM}}\n};\n\npub fn compute_encrypted_log(\n contract_address: AztecAddress,\n ovsk_app: Field,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress,\n plaintext: [u8; P]\n) -> [u8; M] {\n let (eph_sk, eph_pk) = generate_ephemeral_key_pair();\n\n let header = EncryptedLogHeader::new(contract_address);\n\n let incoming_header_ciphertext: [u8; 48] = header.compute_ciphertext(eph_sk, ivpk);\n let outgoing_header_ciphertext: [u8; 48] = header.compute_ciphertext(eph_sk, ovpk);\n let incoming_body_ciphertext = compute_incoming_body_ciphertext(plaintext, eph_sk, ivpk);\n let outgoing_body_ciphertext: [u8; 144] = compute_outgoing_body_ciphertext(recipient, ivpk, fr_to_fq(ovsk_app), eph_sk, eph_pk);\n\n let mut encrypted_bytes: [u8; M] = [0; M];\n // @todo We ignore the tags for now\n\n let eph_pk_bytes = point_to_bytes(eph_pk);\n for i in 0..32 {\n encrypted_bytes[64 + i] = eph_pk_bytes[i];\n }\n for i in 0..48 {\n encrypted_bytes[96 + i] = incoming_header_ciphertext[i];\n encrypted_bytes[144 + i] = outgoing_header_ciphertext[i];\n }\n for i in 0..144 {\n encrypted_bytes[192 + i] = outgoing_body_ciphertext[i];\n }\n // Then we fill in the rest as the incoming body ciphertext\n let size = M - 336;\n assert_eq(size, incoming_body_ciphertext.len(), \"ciphertext length mismatch\");\n for i in 0..size {\n encrypted_bytes[336 + i] = incoming_body_ciphertext[i];\n }\n\n // Current unoptimized size of the encrypted log\n // incoming_tag (32 bytes)\n // outgoing_tag (32 bytes)\n // eph_pk (32 bytes)\n // incoming_header (48 bytes)\n // outgoing_header (48 bytes)\n // outgoing_body (144 bytes)\n // incoming_body_fixed (64 bytes)\n // incoming_body_variable (P + 16 bytes padding)\n encrypted_bytes\n}\n\n/// Converts a base field element to scalar field element.\n/// This is fine because modulus of the base field is smaller than the modulus of the scalar field.\nfn fr_to_fq(r: Field) -> Scalar {\n let (lo, hi) = decompose(r);\n\n Scalar { lo, hi }\n}\n\nfn generate_ephemeral_key_pair() -> (Scalar, Point) {\n // @todo Need to draw randomness from the full domain of Fq not only Fr\n\n // We use the randomness to preserve the privacy of both the sender and recipient via encryption, so a malicious\n // sender could use non-random values to reveal the plaintext. But they already know it themselves anyway, and so\n // the recipient already trusts them to not disclose this information. We can therefore assume that the sender will\n // cooperate in the random value generation.\n let randomness = unsafe {\n random()\n };\n\n // We use the unsafe version of `fr_to_fq` because multi_scalar_mul (called by derive_public_key) will constrain\n // the scalars.\n let eph_sk = fr_to_fq_unsafe(randomness);\n let eph_pk = derive_public_key(eph_sk);\n\n (eph_sk, eph_pk)\n}\n\npub fn compute_incoming_body_ciphertext(plaintext: [u8; P], eph_sk: Scalar, ivpk: IvpkM) -> [u8] {\n let full_key = point_to_symmetric_key(eph_sk, ivpk.to_point());\n let mut sym_key = [0; 16];\n let mut iv = [0; 16];\n\n for i in 0..16 {\n sym_key[i] = full_key[i];\n iv[i] = full_key[i + 16];\n }\n aes128_encrypt(plaintext, iv, sym_key)\n}\n\n/// Encrypts ephemeral secret key and recipient's ivpk --> with this information the recipient of outgoing will\n/// be able to derive the key with which the incoming log can be decrypted.\npub fn compute_outgoing_body_ciphertext(\n recipient: AztecAddress,\n recipient_ivpk: IvpkM,\n ovsk_app: Scalar,\n eph_sk: Scalar,\n eph_pk: Point\n) -> [u8; 144] {\n // Again, we could compute `eph_pk` here, but we keep the interface more similar\n // and also make it easier to optimise it later as we just pass it along\n\n let mut buffer = [0 as u8; 128];\n\n let serialized_eph_sk_high: [u8; 32] = eph_sk.hi.to_be_bytes();\n let serialized_eph_sk_low: [u8; 32] = eph_sk.lo.to_be_bytes();\n\n let address_bytes: [u8; 32] = recipient.to_field().to_be_bytes();\n let serialized_recipient_ivpk = point_to_bytes(recipient_ivpk.to_point());\n\n for i in 0..32 {\n buffer[i] = serialized_eph_sk_high[i];\n buffer[i + 32] = serialized_eph_sk_low[i];\n buffer[i + 64] = address_bytes[i];\n }\n for i in 0..32 {\n buffer[i + 96] = serialized_recipient_ivpk[i];\n }\n\n // We compute the symmetric key using poseidon.\n let full_key: [u8; 32] = poseidon2_hash_with_separator(\n [ovsk_app.hi, ovsk_app.lo, eph_pk.x, eph_pk.y],\n GENERATOR_INDEX__SYMMETRIC_KEY as Field\n ).to_be_bytes();\n\n let mut sym_key = [0; 16];\n let mut iv = [0; 16];\n\n for i in 0..16 {\n sym_key[i] = full_key[i];\n iv[i] = full_key[i + 16];\n }\n aes128_encrypt(buffer, iv, sym_key).as_array()\n}\n\nmod test {\n use crate::{\n encrypted_logs::payload::{compute_encrypted_log, compute_incoming_body_ciphertext, compute_outgoing_body_ciphertext},\n keys::public_keys::{OvpkM, IvpkM}\n };\n use std::embedded_curve_ops::fixed_base_scalar_mul as derive_public_key;\n use dep::protocol_types::{address::AztecAddress, point::Point, scalar::Scalar};\n use std::test::OracleMock;\n\n #[test]\n unconstrained fn test_encrypted_log_matches_typescript() {\n // All the values in this test were copied over from `tagged_log.test.ts`\n let contract_address = AztecAddress::from_field(0x10f48cd9eff7ae5b209c557c70de2e657ee79166868676b787e9417e19260e04);\n let ovsk_app = 0x03a6513d6def49f41d20373d2cec894c23e7492794b08fc50c0e8a1bd2512612;\n let ovpk_m = OvpkM {\n inner: Point {\n x: 0x1961448682803198631f299340e4206bb12809d4bebbf012b30f59af73ba1a15,\n y: 0x133674060c3925142aceb4f1dcd9f9137d0217d37ff8729ee5ceaa6e2790353d,\n is_infinite: false\n }\n };\n let ivpk_m = IvpkM {\n inner: Point {\n x: 0x260cd3904f6df16e974c29944fdc839e40fb5cf293f03df2eb370851d3a527bc,\n y: 0x0eef2964fe6640e84c82b5d2915892409b38e9e25d39f68dd79edb725c55387f,\n is_infinite: false\n }\n };\n\n let plaintext = [\n 0, 0, 0, 1, 48, 22, 64, 206, 234, 117, 131, 145, 178, 225, 97, 201, 44, 5, 19, 241, 41, 2, 15, 65, 37, 37, 106, 253, 174, 38, 70, 206, 49, 9, 159, 92, 16, 244, 140, 217, 239, 247, 174, 91, 32, 156, 85, 124, 112, 222, 46, 101, 126, 231, 145, 102, 134, 134, 118, 183, 135, 233, 65, 126, 25, 38, 14, 4, 15, 228, 107, 229, 131, 183, 31, 74, 181, 183, 12, 38, 87, 255, 29, 5, 204, 207, 29, 41, 42, 147, 105, 98, 141, 26, 25, 79, 148, 78, 101, 153, 0, 0, 16, 39\n ];\n\n let eph_sk = 0x1358d15019d4639393d62b97e1588c095957ce74a1c32d6ec7d62fe6705d9538;\n let _ = OracleMock::mock(\"getRandomField\").returns(eph_sk);\n\n let recipient = AztecAddress::from_field(0x10ee41ee4b62703b16f61e03cb0d88c4b306a9eb4a6ceeb2aff13428541689a2);\n\n let log: [u8; 448] = compute_encrypted_log(contract_address, ovsk_app, ovpk_m, ivpk_m, recipient, plaintext);\n\n // The following value was generated by `tagged_log.test.ts`\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let encrypted_log_from_typescript = [\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 141, 70, 12, 14, 67, 77, 132, 110, 193, 234, 40, 110, 64, 144, 235, 86, 55, 111, 242, 123, 221, 193, 170, 202, 225, 216, 86, 84, 159, 112, 31, 167, 126, 79, 51, 186, 47, 71, 253, 172, 99, 112, 241, 59, 197, 241, 107, 186, 232, 87, 187, 230, 171, 62, 228, 234, 42, 51, 145, 146, 238, 242, 42, 71, 206, 13, 244, 66, 111, 195, 20, 203, 98, 148, 204, 242, 145, 183, 156, 29, 141, 54, 44, 220, 194, 35, 229, 16, 32, 204, 211, 49, 142, 112, 82, 202, 116, 241, 254, 146, 42, 217, 20, 189, 70, 228, 182, 171, 205, 104, 27, 99, 171, 28, 91, 244, 21, 30, 130, 240, 5, 72, 174, 124, 97, 197, 157, 248, 193, 23, 193, 76, 46, 141, 144, 70, 211, 45, 67, 167, 218, 129, 140, 104, 190, 41, 110, 249, 209, 68, 106, 135, 164, 80, 235, 63, 101, 80, 32, 13, 38, 99, 145, 91, 11, 173, 151, 231, 247, 65, 153, 117, 229, 167, 64, 239, 182, 126, 235, 83, 4, 169, 8, 8, 160, 4, 235, 252, 21, 96, 84, 161, 69, 145, 145, 215, 254, 161, 117, 246, 198, 65, 89, 179, 194, 90, 19, 121, 12, 202, 114, 80, 195, 14, 60, 128, 105, 142, 100, 86, 90, 108, 157, 219, 22, 172, 20, 121, 195, 25, 159, 236, 2, 70, 75, 42, 37, 34, 2, 17, 149, 20, 176, 32, 18, 204, 56, 117, 121, 34, 15, 3, 88, 123, 64, 68, 74, 233, 63, 59, 131, 222, 194, 192, 167, 110, 217, 10, 128, 73, 129, 172, 61, 43, 12, 98, 165, 203, 191, 154, 161, 150, 4, 239, 95, 48, 60, 159, 33, 222, 142, 102, 73, 193, 236, 145, 197, 160, 216, 254, 113, 243, 25, 244, 251, 192, 222, 35, 7, 114, 101, 35, 152, 151, 112, 24, 32, 94, 138, 71, 160, 91, 68, 131, 217, 117, 140, 19, 147, 37, 197, 192, 21, 43, 172, 239, 239, 205, 15, 110, 76, 26, 211, 42, 117, 4, 15, 135, 145, 247, 37, 73, 84, 164, 149, 250, 35, 0, 205, 105, 178, 143, 104, 98, 100, 250, 193, 154, 136, 175, 177, 109, 225, 207, 252, 147, 250, 250, 189, 117, 147, 101, 230, 132\n ];\n assert_eq(encrypted_log_from_typescript, log);\n }\n\n #[test]\n fn test_incoming_body_ciphertext_matches_typescript() {\n // All the values in this test were copied over from `encrypted_note_log_incoming_body.test.ts`\n let eph_sk = Scalar {\n lo: 0x00000000000000000000000000000000649e7ca01d9de27b21624098b897babd,\n hi: 0x0000000000000000000000000000000023b3127c127b1f29a7adff5cccf8fb06\n };\n let ivpk = IvpkM {\n inner: Point {\n x: 0x2688431c705a5ff3e6c6f2573c9e3ba1c1026d2251d0dbbf2d810aa53fd1d186,\n y: 0x1e96887b117afca01c00468264f4f80b5bb16d94c1808a448595f115556e5c8e,\n is_infinite: false\n }\n };\n let plaintext = [\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3\n ];\n\n // `compute_incoming_body_ciphertext(...)` function then derives symmetric key from `eph_sk` and `ivpk` and encrypts\n // the note plaintext using AES-128.\n let ciphertext = compute_incoming_body_ciphertext(plaintext, eph_sk, ivpk);\n\n // The following value was generated by `encrypted_note_log_incoming_body.test.ts`.\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let note_body_ciphertext_from_typescript = [\n 226, 240, 253, 6, 28, 52, 19, 131, 33, 132, 178, 212, 245, 62, 14, 190, 147, 228, 160, 190, 146, 61, 95, 203, 124, 153, 68, 168, 17, 150, 92, 0, 99, 214, 85, 64, 191, 78, 157, 131, 149, 96, 236, 253, 96, 172, 157, 30, 27, 176, 228, 74, 242, 190, 138, 48, 33, 93, 46, 37, 223, 130, 25, 245, 188, 163, 159, 223, 187, 24, 139, 206, 131, 154, 159, 130, 37, 17, 158, 114, 242, 141, 124, 193, 232, 54, 146, 96, 145, 100, 125, 234, 57, 43, 95, 115, 183, 39, 121, 232, 134, 229, 148, 25, 46, 77, 87, 127, 95, 7, 77, 188, 37, 234, 245, 142, 232, 87, 252, 28, 67, 67, 90, 214, 254, 89, 47, 68, 66, 187, 227, 8, 59, 162, 25, 141, 97, 141, 217, 197, 115, 15, 212, 202, 157, 41, 150, 62, 219, 57, 224, 92, 185, 212, 142, 94, 146, 41, 178, 145, 68, 169, 23, 185, 206, 138, 70, 47, 176, 210, 165, 236, 23, 206, 229, 108\n ];\n\n assert_eq(note_body_ciphertext_from_typescript.len(), ciphertext.len());\n\n for i in 0..note_body_ciphertext_from_typescript.len() {\n assert_eq(ciphertext[i], note_body_ciphertext_from_typescript[i]);\n }\n }\n\n #[test]\n fn test_encrypted_log_outgoing_body_matches_typescript() {\n let eph_sk = Scalar {\n lo: 0x00000000000000000000000000000000d0d302ee245dfaf2807e604eec4715fe,\n hi: 0x000000000000000000000000000000000f096b423017226a18461115fa8d34bb\n };\n let recipient_ivsk = Scalar {\n lo: 0x000000000000000000000000000000004828f8f95676ebb481df163f87fd4022,\n hi: 0x000000000000000000000000000000000f4d97c25d578f9348251a71ca17ae31\n };\n let sender_ovsk_app = Scalar {\n lo: 0x0000000000000000000000000000000074d2e28c6bc5176ac02cf7c7d36a444e,\n hi: 0x00000000000000000000000000000000089c6887cb1446d86c64e81afc78048b\n };\n\n let eph_pk = derive_public_key(eph_sk);\n let recipient_ivpk = IvpkM { inner: derive_public_key(recipient_ivsk) };\n\n let recipient = AztecAddress::from_field(0xdeadbeef);\n\n let ciphertext = compute_outgoing_body_ciphertext(recipient, recipient_ivpk, sender_ovsk_app, eph_sk, eph_pk);\n\n // The following value was generated by `encrypted_log_outgoing_body.test.ts`\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let outgoing_body_ciphertext_from_typescript = [\n 127, 182, 227, 75, 192, 197, 54, 47, 168, 134, 233, 148, 251, 46, 86, 12, 73, 50, 238, 50, 31, 174, 27, 202, 110, 77, 161, 197, 244, 124, 17, 100, 143, 150, 232, 14, 156, 248, 43, 177, 16, 82, 244, 103, 88, 74, 84, 200, 15, 65, 187, 14, 163, 60, 91, 22, 104, 31, 211, 190, 124, 121, 79, 92, 239, 65, 185, 106, 51, 178, 168, 137, 84, 43, 79, 158, 151, 152, 83, 42, 170, 13, 106, 209, 254, 74, 39, 145, 73, 215, 17, 234, 196, 89, 30, 58, 120, 127, 88, 69, 121, 61, 18, 206, 89, 118, 243, 238, 177, 71, 73, 47, 147, 4, 155, 25, 173, 248, 206, 52, 17, 180, 122, 186, 106, 191, 252, 102, 197, 91, 16, 39, 94, 91, 224, 30, 168, 177, 26, 144, 5, 124, 128, 6\n ];\n\n for i in 0..outgoing_body_ciphertext_from_typescript.len() {\n assert_eq(ciphertext[i], outgoing_body_ciphertext_from_typescript[i]);\n }\n assert_eq(outgoing_body_ciphertext_from_typescript.len(), ciphertext.len());\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/encrypted_logs/payload.nr"},"113":{"source":"use dep::protocol_types::address::AztecAddress;\n\n#[oracle(getContractAddress)]\nunconstrained fn get_contract_address_oracle() -> AztecAddress {}\n\n#[oracle(getBlockNumber)]\nunconstrained fn get_block_number_oracle() -> u32 {}\n\n#[oracle(getChainId)]\nunconstrained fn get_chain_id_oracle() -> Field {}\n\n#[oracle(getVersion)]\nunconstrained fn get_version_oracle() -> Field {}\n\nunconstrained pub fn get_contract_address() -> AztecAddress {\n get_contract_address_oracle()\n}\n\nunconstrained pub fn get_block_number() -> u32 {\n get_block_number_oracle()\n}\n\nunconstrained pub fn get_chain_id() -> Field {\n get_chain_id_oracle()\n}\n\nunconstrained pub fn get_version() -> Field {\n get_version_oracle()\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/execution.nr"},"114":{"source":"use dep::protocol_types::abis::validation_requests::{KeyValidationRequest, key_validation_request::KEY_VALIDATION_REQUEST_LENGTH};\n\n#[oracle(getKeyValidationRequest)]\nunconstrained fn get_key_validation_request_oracle(\n _pk_m_hash: Field,\n _key_index: Field\n) -> [Field; KEY_VALIDATION_REQUEST_LENGTH] {}\n\nunconstrained fn get_key_validation_request_internal(\n npk_m_hash: Field,\n key_index: Field\n) -> KeyValidationRequest {\n let result = get_key_validation_request_oracle(npk_m_hash, key_index);\n KeyValidationRequest::deserialize(result)\n}\n\nunconstrained pub fn get_key_validation_request(\n pk_m_hash: Field,\n key_index: Field\n) -> KeyValidationRequest {\n get_key_validation_request_internal(pk_m_hash, key_index)\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/key_validation_request.nr"},"116":{"source":"/// Returns an unconstrained random value. Note that it is not possible to constrain this value to prove that it is\n/// truly random: we assume that the oracle is cooperating and returning random values.\n/// In some applications this behavior might not be acceptable and other techniques might be more suitable, such as\n/// producing pseudo-random values by hashing values outside of user control (like block hashes) or secrets.\nunconstrained pub fn random() -> Field {\n rand_oracle()\n}\n\n#[oracle(getRandomField)]\nunconstrained fn rand_oracle() -> Field {}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/random.nr"},"117":{"source":"use crate::note::{note_header::NoteHeader, note_interface::NoteInterface};\n\nuse dep::protocol_types::{address::AztecAddress, utils::arr_copy_slice};\n\n/// Notifies the simulator that a note has been created, so that it can be returned in future read requests in the same\n/// transaction. This note should only be added to the non-volatile database if found in an actual block.\npub fn notify_created_note(\n storage_slot: Field,\n note_type_id: Field,\n serialized_note: [Field; N],\n note_hash: Field,\n counter: u32\n) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n notify_created_note_oracle_wrapper(storage_slot, note_type_id, serialized_note, note_hash, counter)\n };\n}\n\n/// Notifies the simulator that a note has been nullified, so that it is no longer returned in future read requests in\n/// the same transaction. This note should only be removed to the non-volatile database if its nullifier is found in an\n/// actual block.\npub fn notify_nullified_note(nullifier: Field, note_hash: Field, counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n notify_nullified_note_oracle_wrapper(nullifier, note_hash, counter)\n };\n}\n\nunconstrained fn notify_created_note_oracle_wrapper(\n storage_slot: Field,\n note_type_id: Field,\n serialized_note: [Field; N],\n note_hash: Field,\n counter: u32\n) {\n let _ = notify_created_note_oracle(storage_slot, note_type_id, serialized_note, note_hash, counter);\n}\n\n#[oracle(notifyCreatedNote)]\nunconstrained fn notify_created_note_oracle(\n _storage_slot: Field,\n _note_type_id: Field,\n _serialized_note: [Field; N],\n _note_hash: Field,\n _counter: u32\n) -> Field {}\n\nunconstrained fn notify_nullified_note_oracle_wrapper(\n nullifier: Field,\n note_hash: Field,\n counter: u32\n) {\n let _ = notify_nullified_note_oracle(nullifier, note_hash, counter);\n}\n\n#[oracle(notifyNullifiedNote)]\nunconstrained fn notify_nullified_note_oracle(_nullifier: Field, _note_hash: Field, _counter: u32) -> Field {}\n\n#[oracle(getNotes)]\nunconstrained fn get_notes_oracle(\n _storage_slot: Field,\n _num_selects: u8,\n _select_by_indexes: [u8; N],\n _select_by_offsets: [u8; N],\n _select_by_lengths: [u8; N],\n _select_values: [Field; N],\n _select_comparators: [u8; N],\n _sort_by_indexes: [u8; N],\n _sort_by_offsets: [u8; N],\n _sort_by_lengths: [u8; N],\n _sort_order: [u8; N],\n _limit: u32,\n _offset: u32,\n _status: u8,\n _return_size: u32,\n _placeholder_fields: [Field; S]\n) -> [Field; S] {}\n\nunconstrained fn get_notes_oracle_wrapper(\n storage_slot: Field,\n num_selects: u8,\n select_by_indexes: [u8; N],\n select_by_offsets: [u8; N],\n select_by_lengths: [u8; N],\n select_values: [Field; N],\n select_comparators: [u8; N],\n sort_by_indexes: [u8; N],\n sort_by_offsets: [u8; N],\n sort_by_lengths: [u8; N],\n sort_order: [u8; N],\n limit: u32,\n offset: u32,\n status: u8,\n mut placeholder_fields: [Field; S]\n) -> [Field; S] {\n let return_size = placeholder_fields.len() as u32;\n get_notes_oracle(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n limit,\n offset,\n status,\n return_size,\n placeholder_fields\n )\n}\n\nunconstrained pub fn get_notes(\n storage_slot: Field,\n num_selects: u8,\n select_by_indexes: [u8; M],\n select_by_offsets: [u8; M],\n select_by_lengths: [u8; M],\n select_values: [Field; M],\n select_comparators: [u8; M],\n sort_by_indexes: [u8; M],\n sort_by_offsets: [u8; M],\n sort_by_lengths: [u8; M],\n sort_order: [u8; M],\n limit: u32,\n offset: u32,\n status: u8,\n mut placeholder_opt_notes: [Option; S], // TODO: Remove it and use `limit` to initialize the note array.\n placeholder_fields: [Field; NS], // TODO: Remove it and use `limit` to initialize the note array.\n _placeholder_note_length: [Field; N] // Turbofish hack? Compiler breaks calculating read_offset unless we add this parameter\n) -> [Option; S] where Note: NoteInterface {\n let fields = get_notes_oracle_wrapper(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n limit,\n offset,\n status,\n placeholder_fields\n );\n let num_notes = fields[0] as u32;\n let contract_address = AztecAddress::from_field(fields[1]);\n for i in 0..placeholder_opt_notes.len() {\n if i < num_notes {\n // lengths named as per typescript.\n let return_header_length: u32 = 2; // num_notes & contract_address.\n let extra_preimage_length: u32 = 2; // nonce & note_hash_counter.\n let read_offset: u32 = return_header_length + i * (N + extra_preimage_length);\n let nonce = fields[read_offset];\n let note_hash_counter = fields[read_offset + 1] as u32;\n let header = NoteHeader { contract_address, nonce, storage_slot, note_hash_counter };\n let serialized_note = arr_copy_slice(fields, [0; N], read_offset + 2);\n let mut note = Note::deserialize_content(serialized_note);\n note.set_header(header);\n placeholder_opt_notes[i] = Option::some(note);\n };\n }\n placeholder_opt_notes\n}\n\n/// Returns true if the nullifier exists. Note that a `true` value can be constrained by proving existence of the\n/// nullifier, but a `false` value should not be relied upon since other transactions may emit this nullifier before the\n/// current transaction is included in a block. While this might seem of little use at first, certain design patterns\n/// benefit from this abstraction (see e.g. `PrivateMutable`).\nunconstrained pub fn check_nullifier_exists(inner_nullifier: Field) -> bool {\n check_nullifier_exists_oracle(inner_nullifier) == 1\n}\n\n#[oracle(checkNullifierExists)]\nunconstrained fn check_nullifier_exists_oracle(_inner_nullifier: Field) -> Field {}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/notes.nr"},"119":{"source":"use crate::keys::{PublicKeys, public_keys::{NpkM, IvpkM, OvpkM, TpkM}};\nuse dep::protocol_types::{address::{AztecAddress, PartialAddress}, point::Point};\n\n#[oracle(getPublicKeysAndPartialAddress)]\nunconstrained fn get_public_keys_and_partial_address_oracle(_address: AztecAddress) -> [Field; 13] {}\n\nunconstrained pub fn get_public_keys_and_partial_address(address: AztecAddress) -> (PublicKeys, PartialAddress) {\n let result = get_public_keys_and_partial_address_oracle(address);\n\n let keys = PublicKeys {\n npk_m: NpkM { inner: Point { x: result[0], y: result[1], is_infinite: result[2] as bool } },\n ivpk_m: IvpkM { inner: Point { x: result[3], y: result[4], is_infinite: result[5] as bool } },\n ovpk_m: OvpkM { inner: Point { x: result[6], y: result[7], is_infinite: result[8] as bool } },\n tpk_m: TpkM { inner: Point { x: result[9], y: result[10], is_infinite: result[11] as bool } }\n };\n\n let partial_address = PartialAddress::from_field(result[12]);\n\n (keys, partial_address)\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/keys.nr"},"123":{"source":"use dep::protocol_types::address::AztecAddress;\n\n/// Informs the simulator that an encrypted note log has been emitted, helping it keep track of side-effects and easing\n/// debugging.\npub fn emit_encrypted_note_log(note_hash_counter: u32, encrypted_note: [u8; M], counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n emit_encrypted_note_log_oracle_wrapper(note_hash_counter, encrypted_note, counter)\n }\n}\n\n/// Informs the simulator that an encrypted event log has been emitted, helping it keep track of side-effects and easing\n/// debugging.\npub fn emit_encrypted_event_log(contract_address: AztecAddress, randomness: Field, encrypted_event: [u8; M], counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n emit_encrypted_event_log_oracle_wrapper(contract_address, randomness, encrypted_event, counter)\n }\n}\n\n/// Informs the simulator that an unencrypted log has been emitted, helping it keep track of side-effects and easing\n/// debugging.\npub fn emit_unencrypted_log_private(contract_address: AztecAddress, message: T, counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n emit_unencrypted_log_private_oracle_wrapper(contract_address, message, counter)\n }\n}\n\nunconstrained fn emit_encrypted_note_log_oracle_wrapper(note_hash_counter: u32, encrypted_note: [u8; M], counter: u32) {\n emit_encrypted_note_log_oracle(note_hash_counter, encrypted_note, counter)\n}\n\nunconstrained fn emit_encrypted_event_log_oracle_wrapper(\n contract_address: AztecAddress,\n randomness: Field,\n encrypted_event: [u8; M],\n counter: u32\n) {\n emit_encrypted_event_log_oracle(contract_address, randomness, encrypted_event, counter)\n}\n\nunconstrained fn emit_unencrypted_log_private_oracle_wrapper(contract_address: AztecAddress, message: T, counter: u32) {\n let _ = emit_unencrypted_log_private_oracle(contract_address, message, counter);\n}\n\n/// Temporary substitute for `emit_unencrypted_log_private` that is used for handling contract class registration. This\n/// variant returns the log hash, which would be too large to compute inside a circuit.\nunconstrained pub fn emit_contract_class_unencrypted_log_private(\n contract_address: AztecAddress,\n message: [Field; N],\n counter: u32\n) -> Field {\n emit_contract_class_unencrypted_log_private_oracle(contract_address, message, counter)\n}\n\n// = 480 + 32 * N bytes\n#[oracle(emitEncryptedNoteLog)]\nunconstrained fn emit_encrypted_note_log_oracle(\n _note_hash_counter: u32,\n _encrypted_note: [u8; M],\n _counter: u32\n) {}\n\n#[oracle(emitEncryptedEventLog)]\nunconstrained fn emit_encrypted_event_log_oracle(\n _contract_address: AztecAddress,\n _randomness: Field,\n _encrypted_event: [u8; M],\n _counter: u32\n) {}\n\n#[oracle(emitUnencryptedLog)]\nunconstrained fn emit_unencrypted_log_private_oracle(\n _contract_address: AztecAddress,\n _message: T,\n _counter: u32\n) -> Field {}\n\n#[oracle(emitContractClassUnencryptedLog)]\nunconstrained fn emit_contract_class_unencrypted_log_private_oracle(\n contract_address: AztecAddress,\n message: [Field; N],\n counter: u32\n) -> Field {}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/logs.nr"},"127":{"source":"use dep::protocol_types::{\n address::AztecAddress, contract_instance::ContractInstance, constants::CONTRACT_INSTANCE_LENGTH,\n utils::reader::Reader\n};\n\n#[oracle(getContractInstance)]\nunconstrained fn get_contract_instance_oracle(_address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH] {}\n\n// Returns a ContractInstance plus a boolean indicating whether the instance was found.\n#[oracle(avmOpcodeGetContractInstance)]\nunconstrained fn get_contract_instance_oracle_avm(_address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH + 1] {}\n\nunconstrained fn get_contract_instance_internal(address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH] {\n get_contract_instance_oracle(address)\n}\n\nunconstrained pub fn get_contract_instance_internal_avm(address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH + 1] {\n get_contract_instance_oracle_avm(address)\n}\n\npub fn get_contract_instance(address: AztecAddress) -> ContractInstance {\n let instance = unsafe {\n ContractInstance::deserialize(get_contract_instance_internal(address))\n };\n // The to_address function combines all values in the instance object to produce an address, so by checking that we\n // get the expected address we validate the entire struct.\n assert_eq(instance.to_address(), address);\n\n instance\n}\n\npub fn get_contract_instance_avm(address: AztecAddress) -> Option {\n let mut reader = Reader::new(get_contract_instance_internal_avm(address));\n let found = reader.read();\n if found == 0 {\n Option::none()\n } else {\n Option::some(reader.read_struct(ContractInstance::deserialize))\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/get_contract_instance.nr"},"135":{"source":"use dep::protocol_types::point::Point;\n\n// I am storing the modulus divided by 2 plus 1 here because full modulus would throw \"String literal too large\" error\n// Full modulus is 21888242871839275222246405745257275088548364400416034343698204186575808495617\nglobal BN254_FR_MODULUS_DIV_2: Field = 10944121435919637611123202872628637544274182200208017171849102093287904247808;\n\n/// Converts a public key to a byte array.\n///\n/// We don't serialize the point at infinity flag because this function is used in situations where we do not want\n/// to waste the extra byte (encrypted log).\npub fn point_to_bytes(pk: Point) -> [u8; 32] {\n // Note that there is 1 more free bit in the 32 bytes (254 bits currently occupied by the x coordinate, 1 bit for\n // the \"sign\") so it's possible to use that last bit as an \"is_infinite\" flag if desired in the future.\n assert(!pk.is_infinite, \"Cannot serialize point at infinity as bytes.\");\n\n let mut result: [u8; 32] = pk.x.to_be_bytes();\n\n // We store only a \"sign\" of the y coordinate because the rest can be derived from the x coordinate. To get\n // the sign we check if the y coordinate is less or equal than the curve's order minus 1 divided by 2.\n // Ideally we'd do `y <= MOD_DIV_2`, but there's no `lte` function, so instead we do `!(y > MOD_DIV_2)`, which is\n // equivalent, and then rewrite that as `!(MOD_DIV_2 < y)`, since we also have no `gt` function.\n if !BN254_FR_MODULUS_DIV_2.lt(pk.y) {\n // y is <= (modulus - 1) / 2 so we set the sign bit to 1\n // Here we leverage that field fits into 254 bits (log2(Fr.MODULUS) < 254) and given that we serialize Fr to 32\n // bytes and we use big-endian the 2 most significant bits are never populated. Hence we can use one of\n // the bits as a sign bit.\n result[0] += 128;\n }\n\n result\n}\n\nmod test {\n use dep::protocol_types::point::Point;\n use crate::utils::point::point_to_bytes;\n\n #[test]\n unconstrained fn test_point_to_bytes_positive_sign() {\n let p = Point {\n x: 0x1af41f5de96446dc3776a1eb2d98bb956b7acd9979a67854bec6fa7c2973bd73,\n y: 0x07fc22c7f2c7057571f137fe46ea9c95114282bc95d37d71ec4bfb88de457d4a,\n is_infinite: false\n };\n\n let compressed_point = point_to_bytes(p);\n\n let expected_compressed_point_positive_sign = [\n 154, 244, 31, 93, 233, 100, 70, 220, 55, 118, 161, 235, 45, 152, 187, 149, 107, 122, 205, 153, 121, 166, 120, 84, 190, 198, 250, 124, 41, 115, 189, 115\n ];\n\n assert_eq(expected_compressed_point_positive_sign.len(), compressed_point.len());\n for i in 0..expected_compressed_point_positive_sign.len() {\n assert_eq(compressed_point[i], expected_compressed_point_positive_sign[i]);\n }\n }\n\n #[test]\n unconstrained fn test_point_to_bytes_negative_sign() {\n let p = Point {\n x: 0x247371652e55dd74c9af8dbe9fb44931ba29a9229994384bd7077796c14ee2b5,\n y: 0x26441aec112e1ae4cee374f42556932001507ad46e255ffb27369c7e3766e5c0,\n is_infinite: false\n };\n\n let compressed_point = point_to_bytes(p);\n\n let expected_compressed_point_negative_sign = [\n 36, 115, 113, 101, 46, 85, 221, 116, 201, 175, 141, 190, 159, 180, 73, 49, 186, 41, 169, 34, 153, 148, 56, 75, 215, 7, 119, 150, 193, 78, 226, 181\n ];\n\n assert_eq(expected_compressed_point_negative_sign.len(), compressed_point.len());\n for i in 0..expected_compressed_point_negative_sign.len() {\n assert_eq(compressed_point[i], expected_compressed_point_negative_sign[i]);\n }\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/utils/point.nr"},"153":{"source":"use dep::protocol_types::{\n address::AztecAddress, hash::poseidon2_hash_with_separator, constants::GENERATOR_INDEX__CONSTRUCTOR,\n abis::function_selector::FunctionSelector\n};\n\nuse crate::{\n context::{PrivateContext, PublicContext}, oracle::get_contract_instance::get_contract_instance,\n oracle::get_contract_instance::get_contract_instance_avm\n};\n\npub fn mark_as_initialized_public(context: &mut PublicContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier((*context).this_address());\n context.push_nullifier(init_nullifier);\n}\n\npub fn mark_as_initialized_private(context: &mut PrivateContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier((*context).this_address());\n context.push_nullifier(init_nullifier);\n}\n\npub fn assert_is_initialized_public(context: &mut PublicContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier(context.this_address());\n assert(context.nullifier_exists(init_nullifier, context.this_address()), \"Not initialized\");\n}\n\npub fn assert_is_initialized_private(context: &mut PrivateContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier(context.this_address());\n context.push_nullifier_read_request(init_nullifier);\n}\n\nfn compute_unsiloed_contract_initialization_nullifier(address: AztecAddress) -> Field {\n address.to_field()\n}\n\npub fn assert_initialization_matches_address_preimage_public(context: PublicContext) {\n let address = context.this_address();\n let instance = get_contract_instance_avm(address).unwrap();\n let expected_init = compute_initialization_hash(context.selector(), context.get_args_hash());\n assert(instance.initialization_hash == expected_init, \"Initialization hash does not match\");\n assert(\n (instance.deployer.is_zero()) | (instance.deployer == context.msg_sender()), \"Initializer address is not the contract deployer\"\n );\n}\n\npub fn assert_initialization_matches_address_preimage_private(context: PrivateContext) {\n let address = context.this_address();\n let instance = get_contract_instance(address);\n let expected_init = compute_initialization_hash(context.selector(), context.get_args_hash());\n assert(instance.initialization_hash == expected_init, \"Initialization hash does not match\");\n assert(\n (instance.deployer.is_zero()) | (instance.deployer == context.msg_sender()), \"Initializer address is not the contract deployer\"\n );\n}\n\npub fn compute_initialization_hash(init_selector: FunctionSelector, init_args_hash: Field) -> Field {\n poseidon2_hash_with_separator(\n [init_selector.to_field(), init_args_hash],\n GENERATOR_INDEX__CONSTRUCTOR\n )\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/initializer.nr"},"154":{"source":"use dep::protocol_types::{\n address::{AztecAddress, EthAddress},\n constants::{GENERATOR_INDEX__SECRET_HASH, GENERATOR_INDEX__MESSAGE_NULLIFIER, GENERATOR_INDEX__FUNCTION_ARGS},\n point::Point, traits::Hash,\n hash::{sha256_to_field, poseidon2_hash_with_separator, poseidon2_hash_with_separator_slice}\n};\nuse crate::utils::to_bytes::{arr_to_be_bytes_arr, str_to_be_bytes_arr};\n\npub use dep::protocol_types::hash::{compute_siloed_nullifier, pedersen_hash};\n\npub fn pedersen_commitment(inputs: [Field; N], hash_index: u32) -> Point {\n std::hash::pedersen_commitment_with_separator(inputs, hash_index)\n}\n\npub fn compute_secret_hash(secret: Field) -> Field {\n poseidon2_hash_with_separator([secret], GENERATOR_INDEX__SECRET_HASH)\n}\n\npub fn compute_unencrypted_log_hash(contract_address: AztecAddress, log: [u8; N]) -> Field {\n let mut hash_bytes = [0; N + 36];\n // Address is converted to 32 bytes in ts\n let address_bytes: [u8; 32] = contract_address.to_field().to_be_bytes();\n for i in 0..32 {\n hash_bytes[i] = address_bytes[i];\n }\n let len_bytes: [u8; 4] = (N as Field).to_be_bytes();\n for i in 0..4 {\n hash_bytes[32 + i] = len_bytes[i];\n }\n for i in 0..N {\n hash_bytes[36 + i] = log[i];\n }\n\n sha256_to_field(hash_bytes)\n}\n\npub fn compute_message_hash(\n sender: EthAddress,\n chain_id: Field,\n recipient: AztecAddress,\n version: Field,\n content: Field,\n secret_hash: Field\n) -> Field {\n let mut hash_bytes = [0 as u8; 192];\n let sender_bytes: [u8; 32] = sender.to_field().to_be_bytes();\n let chain_id_bytes: [u8; 32] = chain_id.to_be_bytes();\n let recipient_bytes: [u8; 32] = recipient.to_field().to_be_bytes();\n let version_bytes: [u8; 32] = version.to_be_bytes();\n let content_bytes: [u8; 32] = content.to_be_bytes();\n let secret_hash_bytes: [u8; 32] = secret_hash.to_be_bytes();\n\n for i in 0..32 {\n hash_bytes[i] = sender_bytes[i];\n hash_bytes[i + 32] = chain_id_bytes[i];\n hash_bytes[i + 64] = recipient_bytes[i];\n hash_bytes[i + 96] = version_bytes[i];\n hash_bytes[i + 128] = content_bytes[i];\n hash_bytes[i + 160] = secret_hash_bytes[i];\n }\n\n sha256_to_field(hash_bytes)\n}\n\n// The nullifier of a l1 to l2 message is the hash of the message salted with the secret and index of the message hash\n// in the L1 to L2 message tree\npub fn compute_message_nullifier(message_hash: Field, secret: Field, leaf_index: Field) -> Field {\n poseidon2_hash_with_separator(\n [message_hash, secret, leaf_index],\n GENERATOR_INDEX__MESSAGE_NULLIFIER\n )\n}\n\npub struct ArgsHasher {\n fields: [Field],\n}\n\nimpl Hash for ArgsHasher {\n fn hash(self) -> Field {\n hash_args(self.fields)\n }\n}\n\nimpl ArgsHasher {\n pub fn new() -> Self {\n Self { fields: [] }\n }\n\n pub fn add(&mut self, field: Field) {\n self.fields = self.fields.push_back(field);\n }\n\n pub fn add_multiple(&mut self, fields: [Field; N]) {\n for i in 0..N {\n self.fields = self.fields.push_back(fields[i]);\n }\n }\n}\n\npub fn hash_args_array(args: [Field; N]) -> Field {\n if args.len() == 0 {\n 0\n } else {\n poseidon2_hash_with_separator(args, GENERATOR_INDEX__FUNCTION_ARGS)\n }\n}\n\npub fn hash_args(args: [Field]) -> Field {\n if args.len() == 0 {\n 0\n } else {\n poseidon2_hash_with_separator_slice(args, GENERATOR_INDEX__FUNCTION_ARGS)\n }\n}\n\n#[test]\nunconstrained fn compute_var_args_hash() {\n let mut input = ArgsHasher::new();\n for i in 0..100 {\n input.add(i as Field);\n }\n let hash = input.hash();\n dep::std::println(hash);\n assert(hash == 0x19b0d74feb06ebde19edd85a28986c97063e84b3b351a8b666c7cac963ce655f);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_array() {\n let contract_address = AztecAddress::from_field(0x233a3e0df23b2b15b324194cb4a151f26c0b7333250781d34cc269d85dc334c6);\n let log = [\n 0x20660de09f35f876e3e69d227b2a35166ad05f09d82d06366ec9b6f65a51fec2,\n 0x1b52bfe3b8689761916f76dc3d38aa8810860db325cd39ca611eed980091f01c,\n 0x2e559c4045c378a56ad13b9edb1e8de4e7ad3b3aa35cc7ba9ec77f7a68fa43a4,\n 0x25d0f689c4a4178a29d59306f2675824d19be6d25e44fa03b03f49c263053dd2,\n 0x2d513a722d6f352dc0961f156afdc5e31495b9f0e35cb069261a8e55e2df67fd\n ];\n let serialized_log = arr_to_be_bytes_arr(log);\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x0095b2d17ab72f4b27a341f7ac63e49ec73935ae8c9181a0ac02023eb12f3284);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_addr() {\n let contract_address = AztecAddress::from_field(0x233a3e0df23b2b15b324194cb4a151f26c0b7333250781d34cc269d85dc334c6);\n let log = AztecAddress::from_field(0x26aa302d4715fd8a687453cb26d616b0768027bd54bcae56b09d908ecd9f8303);\n let serialized_log: [u8; 32] = log.to_field().to_be_bytes();\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x0083ab647dfb26e7ddee90a0f4209d049d4660cab42000c544b986aaa84c55a3);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_str() {\n let contract_address = AztecAddress::from_field(0x1b401e1146c5c507962287065c81f0ef7590adae3802c533d7549d6bf0a41bd8);\n let log = \"dummy\";\n let serialized_log = str_to_be_bytes_arr(log);\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x00629e88ebd6374f44aa6cfe07e251ecf07213ebc7267e8f6b578ae57ffd6c20);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_longer_str() {\n let contract_address = AztecAddress::from_field(0x1b401e1146c5c507962287065c81f0ef7590adae3802c533d7549d6bf0a41bd8);\n let log = \"Hello this is a string\";\n let serialized_log = str_to_be_bytes_arr(log);\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x0098637962f7d34fa202b7ffad8a07a238c5d1fd897b82a108f7f467fa73b841);\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/hash.nr"},"157":{"source":"use dep::protocol_types::{constants::GENERATOR_INDEX__SYMMETRIC_KEY, scalar::Scalar, point::Point, utils::arr_copy_slice};\nuse crate::utils::point::point_to_bytes;\nuse std::{hash::sha256, embedded_curve_ops::multi_scalar_mul};\n\n// TODO(#5726): This function is called deriveAESSecret in TS. I don't like point_to_symmetric_key name much since\n// point is not the only input of the function. Unify naming with TS once we have a better name.\npub fn point_to_symmetric_key(secret: Scalar, point: Point) -> [u8; 32] {\n let shared_secret: Point = multi_scalar_mul([point], [secret]);\n let shared_secret = point_to_bytes(shared_secret);\n let mut shared_secret_bytes_with_separator = [0 as u8; 33];\n shared_secret_bytes_with_separator = arr_copy_slice(shared_secret, shared_secret_bytes_with_separator, 0);\n shared_secret_bytes_with_separator[32] = GENERATOR_INDEX__SYMMETRIC_KEY;\n sha256(shared_secret_bytes_with_separator)\n}\n\n#[test]\nunconstrained fn test_point_to_symmetric_key_matches_noir() {\n // Value taken from \"derive shared secret\" test in encrypt_buffer.test.ts\n let secret = Scalar {\n lo: 0x00000000000000000000000000000000649e7ca01d9de27b21624098b897babd,\n hi: 0x0000000000000000000000000000000023b3127c127b1f29a7adff5cccf8fb06\n };\n let point = Point {\n x: 0x2688431c705a5ff3e6c6f2573c9e3ba1c1026d2251d0dbbf2d810aa53fd1d186,\n y: 0x1e96887b117afca01c00468264f4f80b5bb16d94c1808a448595f115556e5c8e,\n is_infinite: false\n };\n\n let key = point_to_symmetric_key(secret, point);\n\n // The following value was generated by `encrypt_buffer.test.ts`.\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let key_from_typescript = [\n 251, 232, 177, 34, 2, 174, 35, 92, 165, 118, 168, 3, 153, 140, 46, 210, 203, 154, 184, 158, 236, 33, 95, 77, 93, 120, 72, 88, 190, 209, 64, 159\n ];\n assert_eq(key, key_from_typescript);\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/keys/point_to_symmetric_key.nr"},"159":{"source":"use dep::protocol_types::address::AztecAddress;\nuse crate::{\n oracle::{keys::get_public_keys_and_partial_address, key_validation_request::get_key_validation_request},\n keys::{public_keys::PublicKeys, constants::{NULLIFIER_INDEX, OUTGOING_INDEX}}\n};\n\nmod test;\n\nunconstrained pub fn get_nsk_app(npk_m_hash: Field) -> Field {\n get_key_validation_request(npk_m_hash, NULLIFIER_INDEX).sk_app\n}\n\n// A helper function that gets app-siloed outgoing viewing key for a given `ovpk_m_hash`. This function is used\n// in unconstrained contexts only - when computing unconstrained note logs. The safe alternative is `request_ovsk_app`\n// function defined on `PrivateContext`.\nunconstrained pub fn get_ovsk_app(ovpk_m_hash: Field) -> Field {\n get_key_validation_request(ovpk_m_hash, OUTGOING_INDEX).sk_app\n}\n\n// Returns all public keys for a given account, applying proper constraints to the context. We read all\n// keys at once since the constraints for reading them all are actually fewer than if we read them one at a time - any\n// read keys that are not required by the caller can simply be discarded.\npub fn get_public_keys(account: AztecAddress) -> PublicKeys {\n let (hinted_canonical_public_keys, partial_address) = unsafe {\n get_public_keys_and_partial_address(account)\n };\n assert_eq(\n account, AztecAddress::compute(hinted_canonical_public_keys.hash(), partial_address), \"Invalid public keys hint for address\"\n );\n\n hinted_canonical_public_keys\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/keys/getters/mod.nr"},"160":{"source":"use dep::protocol_types::{\n address::PublicKeysHash, constants::GENERATOR_INDEX__PUBLIC_KEYS_HASH,\n hash::poseidon2_hash_with_separator, point::{Point, POINT_LENGTH},\n traits::{Deserialize, Serialize, Empty, is_empty, Hash}\n};\n\nglobal PUBLIC_KEYS_LENGTH: u32 = 12;\n\npub struct PublicKeys {\n npk_m: NpkM,\n ivpk_m: IvpkM,\n ovpk_m: OvpkM,\n tpk_m: TpkM,\n}\n\npub trait ToPoint {\n fn to_point(self) -> Point;\n}\n\npub struct NpkM {\n inner: Point\n}\n\nimpl ToPoint for NpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Serialize for NpkM {\n fn serialize(self) -> [Field; POINT_LENGTH] {\n self.inner.serialize()\n }\n}\n\n// Note: If we store npk_m_hash directly we can remove this trait implementation. See #8091\nimpl Hash for NpkM {\n fn hash(self) -> Field {\n self.inner.hash()\n }\n}\n\npub struct IvpkM {\n inner: Point\n}\n\nimpl ToPoint for IvpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Serialize for IvpkM {\n fn serialize(self) -> [Field; POINT_LENGTH] {\n self.inner.serialize()\n }\n}\n\npub struct OvpkM {\n inner: Point\n}\n\nimpl Hash for OvpkM {\n fn hash(self) -> Field {\n self.inner.hash()\n }\n}\n\nimpl ToPoint for OvpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Serialize for OvpkM {\n fn serialize(self) -> [Field; POINT_LENGTH] {\n self.inner.serialize()\n }\n}\n\npub struct TpkM {\n inner: Point\n}\n\nimpl ToPoint for TpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Empty for PublicKeys {\n fn empty() -> Self {\n PublicKeys {\n npk_m: NpkM { inner: Point::empty() },\n ivpk_m: IvpkM { inner: Point::empty() },\n ovpk_m: OvpkM { inner: Point::empty() },\n tpk_m: TpkM { inner: Point::empty() }\n }\n }\n}\n\nimpl Eq for PublicKeys {\n fn eq(self, other: PublicKeys) -> bool {\n (self.npk_m.inner == other.npk_m.inner)\n & (self.ivpk_m.inner == other.ivpk_m.inner)\n & (self.ovpk_m.inner == other.ovpk_m.inner)\n & (self.tpk_m.inner == other.tpk_m.inner)\n }\n}\n\nimpl PublicKeys {\n pub fn hash(self) -> PublicKeysHash {\n PublicKeysHash::from_field(\n if is_empty(self) {\n 0\n } else {\n poseidon2_hash_with_separator(self.serialize(), GENERATOR_INDEX__PUBLIC_KEYS_HASH as Field)\n }\n )\n }\n}\n\nimpl Serialize for PublicKeys {\n fn serialize(self) -> [Field; PUBLIC_KEYS_LENGTH] {\n [\n self.npk_m.inner.x,\n self.npk_m.inner.y,\n self.npk_m.inner.is_infinite as Field,\n self.ivpk_m.inner.x,\n self.ivpk_m.inner.y,\n self.ivpk_m.inner.is_infinite as Field,\n self.ovpk_m.inner.x,\n self.ovpk_m.inner.y,\n self.ovpk_m.inner.is_infinite as Field,\n self.tpk_m.inner.x,\n self.tpk_m.inner.y,\n self.tpk_m.inner.is_infinite as Field\n ]\n }\n}\n\nimpl Deserialize for PublicKeys {\n fn deserialize(serialized: [Field; PUBLIC_KEYS_LENGTH]) -> PublicKeys {\n PublicKeys {\n npk_m: NpkM { inner: Point { x: serialized[0], y: serialized[1], is_infinite: serialized[2] as bool } },\n ivpk_m: IvpkM { inner: Point { x: serialized[3], y: serialized[4], is_infinite: serialized[5] as bool } },\n ovpk_m: OvpkM { inner: Point { x: serialized[6], y: serialized[7], is_infinite: serialized[8] as bool } },\n tpk_m: TpkM { inner: Point { x: serialized[9], y: serialized[10], is_infinite: serialized[11] as bool } }\n }\n }\n}\n\n#[test]\nunconstrained fn compute_public_keys_hash() {\n let keys = PublicKeys {\n npk_m: NpkM { inner: Point { x: 1, y: 2, is_infinite: false } },\n ivpk_m: IvpkM { inner: Point { x: 3, y: 4, is_infinite: false } },\n ovpk_m: OvpkM { inner: Point { x: 5, y: 6, is_infinite: false } },\n tpk_m: TpkM { inner: Point { x: 7, y: 8, is_infinite: false } }\n };\n\n let actual = keys.hash();\n let expected_public_keys_hash = 0x0fecd9a32db731fec1fded1b9ff957a1625c069245a3613a2538bd527068b0ad;\n\n assert(actual.to_field() == expected_public_keys_hash);\n}\n\n#[test]\nunconstrained fn compute_empty_hash() {\n let keys = PublicKeys::empty();\n\n let actual = keys.hash();\n let test_data_empty_hash = 0x0000000000000000000000000000000000000000000000000000000000000000;\n\n assert(actual.to_field() == test_data_empty_hash);\n}\n\n#[test]\nunconstrained fn test_public_keys_serialization() {\n let keys = PublicKeys {\n npk_m: NpkM { inner: Point { x: 1, y: 2, is_infinite: false } },\n ivpk_m: IvpkM { inner: Point { x: 3, y: 4, is_infinite: false } },\n ovpk_m: OvpkM { inner: Point { x: 5, y: 6, is_infinite: false } },\n tpk_m: TpkM { inner: Point { x: 7, y: 8, is_infinite: false } }\n };\n\n let serialized = keys.serialize();\n let deserialized = PublicKeys::deserialize(serialized);\n\n assert_eq(keys.npk_m.inner.x, deserialized.npk_m.inner.x);\n assert_eq(keys.npk_m.inner.y, deserialized.npk_m.inner.y);\n assert_eq(keys.ivpk_m.inner.x, deserialized.ivpk_m.inner.x);\n assert_eq(keys.ivpk_m.inner.y, deserialized.ivpk_m.inner.y);\n assert_eq(keys.ovpk_m.inner.x, deserialized.ovpk_m.inner.x);\n assert_eq(keys.ovpk_m.inner.y, deserialized.ovpk_m.inner.y);\n assert_eq(keys.tpk_m.inner.x, deserialized.tpk_m.inner.x);\n assert_eq(keys.tpk_m.inner.y, deserialized.tpk_m.inner.y);\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/keys/public_keys.nr"},"168":{"source":"use dep::protocol_types::{storage::map::derive_storage_slot_in_map, traits::ToField};\nuse crate::state_vars::storage::Storage;\n\n// docs:start:map\npub struct Map {\n context: Context,\n storage_slot: Field,\n state_var_constructor: fn(Context, Field) -> V,\n}\n// docs:end:map\n\nimpl Storage for Map {}\n\nimpl Map {\n // docs:start:new\n pub fn new(\n context: Context,\n storage_slot: Field,\n state_var_constructor: fn(Context, Field) -> V\n ) -> Self {\n assert(storage_slot != 0, \"Storage slot 0 not allowed. Storage slots must start from 1.\");\n Map { context, storage_slot, state_var_constructor }\n }\n // docs:end:new\n\n // docs:start:at\n pub fn at(self, key: K) -> V where K: ToField {\n // TODO(#1204): use a generator index for the storage slot\n let derived_storage_slot = derive_storage_slot_in_map(self.storage_slot, key);\n\n let state_var_constructor = self.state_var_constructor;\n state_var_constructor(self.context, derived_storage_slot)\n }\n // docs:end:at\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/state_vars/map.nr"},"179":{"source":"use dep::protocol_types::{constants::MAX_NOTE_HASH_READ_REQUESTS_PER_CALL, abis::read_request::ReadRequest};\nuse crate::context::{PrivateContext, PublicContext, UnconstrainedContext};\nuse crate::note::{\n constants::MAX_NOTES_PER_PAGE,\n lifecycle::{create_note, create_note_hash_from_public, destroy_note_unsafe},\n note_getter::{get_notes, view_notes}, note_getter_options::NoteGetterOptions,\n note_interface::{NoteInterface, NullifiableNote}, note_viewer_options::NoteViewerOptions,\n utils::compute_note_hash_for_read_request, note_emission::NoteEmission\n};\nuse crate::state_vars::storage::Storage;\n\n// docs:start:struct\npub struct PrivateSet {\n context: Context,\n storage_slot: Field,\n}\n// docs:end:struct\n\nimpl Storage for PrivateSet {}\n\nimpl PrivateSet {\n // docs:start:new\n pub fn new(context: Context, storage_slot: Field) -> Self {\n assert(storage_slot != 0, \"Storage slot 0 not allowed. Storage slots must start from 1.\");\n PrivateSet { context, storage_slot }\n }\n // docs:end:new\n}\n\nimpl PrivateSet where Note: NoteInterface + NullifiableNote {\n // docs:start:insert_from_public\n pub fn insert_from_public(self, note: &mut Note) {\n create_note_hash_from_public(self.context, self.storage_slot, note);\n }\n // docs:end:insert_from_public\n}\n\nimpl PrivateSet where Note: NoteInterface + NullifiableNote + Eq {\n // docs:start:insert\n pub fn insert(self, note: &mut Note) -> NoteEmission {\n create_note(self.context, self.storage_slot, note)\n }\n // docs:end:insert\n\n pub fn pop_notes(\n self,\n options: NoteGetterOptions\n ) -> BoundedVec {\n let (notes, note_hashes) = get_notes(self.context, self.storage_slot, options);\n // We iterate in a range 0..options.limit instead of 0..notes.len() because options.limit is known at compile\n // time and hence will result in less constraints when set to a lower value than\n // MAX_NOTE_HASH_READ_REQUESTS_PER_CALL.\n for i in 0..options.limit {\n if i < notes.len() {\n let note = notes.get_unchecked(i);\n let note_hash = note_hashes.get_unchecked(i);\n // We immediately destroy the note without doing any of the read request checks `remove` typically\n // performs because we know that the `get_notes` call has already placed those constraints.\n destroy_note_unsafe(self.context, note, note_hash);\n }\n }\n\n notes\n }\n\n /// Note that if you obtained the note via `get_notes` it's much better to use `pop_notes` as `pop_notes` results\n /// in significantly less constrains due to avoiding an extra hash and read request check.\n pub fn remove(self, note: Note) {\n let note_hash = compute_note_hash_for_read_request(note);\n let has_been_read = self.context.note_hash_read_requests.any(|r: ReadRequest| r.value == note_hash);\n assert(has_been_read, \"Can only remove a note that has been read from the set.\");\n\n destroy_note_unsafe(self.context, note, note_hash);\n }\n\n /// Note that if you later on remove the note it's much better to use `pop_notes` as `pop_notes` results\n /// in significantly less constrains due to avoiding 1 read request check.\n pub fn get_notes(\n self,\n options: NoteGetterOptions\n ) -> BoundedVec {\n get_notes(self.context, self.storage_slot, options).0\n }\n}\n\nimpl PrivateSet where Note: NoteInterface + NullifiableNote {\n // docs:start:view_notes\n unconstrained pub fn view_notes(\n self,\n options: NoteViewerOptions\n ) -> BoundedVec {\n view_notes(self.storage_slot, options)\n }\n // docs:end:view_notes\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/state_vars/private_set.nr"},"221":{"source":"use crate::{traits::{Empty, Serialize, Deserialize}, point::Point};\npub use crate::constants::KEY_VALIDATION_REQUEST_LENGTH;\n\npub struct KeyValidationRequest {\n pk_m: Point,\n sk_app: Field, // not a grumpkin scalar because it's output of poseidon2\n}\n\nimpl Eq for KeyValidationRequest {\n fn eq(self, request: KeyValidationRequest) -> bool {\n (request.pk_m.eq(self.pk_m)) & (request.sk_app.eq(self.sk_app))\n }\n}\n\nimpl Empty for KeyValidationRequest {\n fn empty() -> Self {\n KeyValidationRequest { pk_m: Point::empty(), sk_app: 0 }\n }\n}\n\nimpl Serialize for KeyValidationRequest {\n fn serialize(self) -> [Field; KEY_VALIDATION_REQUEST_LENGTH] {\n [\n self.pk_m.x,\n self.pk_m.y,\n self.pk_m.is_infinite as Field,\n self.sk_app\n ]\n }\n}\n\nimpl Deserialize for KeyValidationRequest {\n fn deserialize(fields: [Field; KEY_VALIDATION_REQUEST_LENGTH]) -> Self {\n Self { pk_m: Point { x: fields[0], y: fields[1], is_infinite: fields[2] as bool }, sk_app: fields[3] }\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/abis/validation_requests/key_validation_request.nr"},"298":{"source":"// general util packages/modules are usually bad practice\n// because there is no criteria for what we should not put in here.\n// Reducing the size of this package would be welcome.\n\nmod arrays;\nmod field;\nmod reader;\nmod uint256;\n\n// if predicate == true then return lhs, else return rhs\npub fn conditional_assign(predicate: bool, lhs: Field, rhs: Field) -> Field {\n if predicate { lhs } else { rhs }\n}\n\npub fn arr_copy_slice(src: [T; N], mut dst: [T; M], offset: u32) -> [T; M] {\n let iterator_len = if N > M { M } else { N };\n for i in 0..iterator_len {\n dst[i] = src[i + offset];\n }\n dst\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/utils/mod.nr"},"299":{"source":"use crate::{hash::poseidon2_hash, traits::ToField};\n\npub fn derive_storage_slot_in_map(storage_slot: Field, key: K) -> Field where K: ToField {\n poseidon2_hash([storage_slot, key.to_field()])\n}\n\nmod test {\n use crate::{address::AztecAddress, storage::map::derive_storage_slot_in_map};\n\n #[test]\n fn test_derive_storage_slot_in_map_matches_typescript() {\n let map_slot = 0x132258fb6962c4387ba659d9556521102d227549a386d39f0b22d1890d59c2b5;\n let key = AztecAddress::from_field(0x302dbc2f9b50a73283d5fb2f35bc01eae8935615817a0b4219a057b2ba8a5a3f);\n\n let slot = derive_storage_slot_in_map(map_slot, key);\n\n // The following value was generated by `map_slot.test.ts`\n let slot_from_typescript = 0x15b9fe39449affd8b377461263e9d2b610b9ad40580553500b4e41d9cbd887ac;\n\n assert_eq(slot, slot_from_typescript);\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/storage/map.nr"},"301":{"source":"use crate::utils::field::field_from_bytes;\nuse crate::meta::{derive_deserialize, derive_serialize};\n\n// Trait: is_empty\n//\n// The general is_empty trait checks if a data type is is empty,\n// and it defines empty for the basic data types as 0.\n//\n// If a Field is equal to zero, then it is regarded as zero.\n// We will go with this definition for now, however it can be problematic\n// if a value can actually be zero. In a future refactor, we can\n// use the optional type for safety. Doing it now would lead to a worse devex\n// and would make it harder to sync up with the cpp code.\n// Preferred over Default trait to convey intent, as default doesn't necessarily mean empty.\npub trait Empty {\n fn empty() -> Self;\n}\n\nimpl Empty for Field {\n fn empty() -> Self {\n 0\n }\n}\n\nimpl Empty for u1 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for u8 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for u32 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for u64 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for U128 {\n fn empty() -> Self {\n U128::from_integer(0)\n }\n}\n\npub fn is_empty(item: T) -> bool where T: Empty + Eq {\n item.eq(T::empty())\n}\n\npub fn is_empty_array(array: [T; N]) -> bool where T: Empty + Eq {\n array.all(|elem| is_empty(elem))\n}\n\npub trait Hash {\n fn hash(self) -> Field;\n}\n\npub trait ToField {\n fn to_field(self) -> Field;\n}\n\nimpl ToField for Field {\n fn to_field(self) -> Field {\n self\n }\n}\n\nimpl ToField for bool {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u1 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u8 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u32 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u64 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for U128 {\n fn to_field(self) -> Field {\n self.to_integer()\n }\n}\nimpl ToField for str {\n fn to_field(self) -> Field {\n assert(N < 32, \"String doesn't fit in a field, consider using Serialize instead\");\n field_from_bytes(self.as_bytes(), true)\n }\n}\n\npub trait FromField {\n fn from_field(value: Field) -> Self;\n}\n\nimpl FromField for Field {\n fn from_field(value: Field) -> Self {\n value\n }\n}\n\nimpl FromField for bool {\n fn from_field(value: Field) -> Self {\n value as bool\n }\n}\nimpl FromField for u1 {\n fn from_field(value: Field) -> Self {\n value as u1\n }\n}\nimpl FromField for u8 {\n fn from_field(value: Field) -> Self {\n value as u8\n }\n}\nimpl FromField for u32 {\n fn from_field(value: Field) -> Self {\n value as u32\n }\n}\nimpl FromField for u64 {\n fn from_field(value: Field) -> Self {\n value as u64\n }\n}\nimpl FromField for U128 {\n fn from_field(value: Field) -> Self {\n U128::from_integer(value)\n }\n}\n\n// docs:start:serialize\n#[derive_via(derive_serialize)]\npub trait Serialize {\n fn serialize(self) -> [Field; N];\n}\n// docs:end:serialize\n\nimpl Serialize for str {\n fn serialize(self) -> [Field; N] {\n let bytes = self.as_bytes();\n let mut fields = [0; N];\n for i in 0..bytes.len() {\n fields[i] = bytes[i] as Field;\n }\n fields\n }\n}\n\n// docs:start:deserialize\n#[derive_via(derive_deserialize)]\npub trait Deserialize {\n fn deserialize(fields: [Field; N]) -> Self;\n}\n// docs:end:deserialize\n\nimpl Deserialize for str {\n fn deserialize(fields: [Field; N]) -> Self {\n str::from(fields.map(|value| value as u8))\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/traits.nr"},"305":{"source":"use crate::{\n address::{aztec_address::AztecAddress, partial_address::PartialAddress, public_keys_hash::PublicKeysHash},\n contract_class_id::ContractClassId, constants::CONTRACT_INSTANCE_LENGTH,\n traits::{Deserialize, Hash, Serialize}\n};\n\npub struct ContractInstance {\n salt : Field,\n deployer: AztecAddress,\n contract_class_id : ContractClassId,\n initialization_hash : Field,\n public_keys_hash : PublicKeysHash,\n}\n\nimpl Eq for ContractInstance {\n fn eq(self, other: Self) -> bool {\n self.public_keys_hash.eq(other.public_keys_hash)\n & self.initialization_hash.eq(other.initialization_hash)\n & self.contract_class_id.eq(other.contract_class_id)\n & self.salt.eq(other.salt)\n }\n}\n\nimpl Serialize for ContractInstance {\n fn serialize(self) -> [Field; CONTRACT_INSTANCE_LENGTH] {\n [\n self.salt,\n self.deployer.to_field(),\n self.contract_class_id.to_field(),\n self.initialization_hash,\n self.public_keys_hash.to_field()\n ]\n }\n}\n\nimpl Deserialize for ContractInstance {\n fn deserialize(serialized: [Field; CONTRACT_INSTANCE_LENGTH]) -> Self {\n Self {\n salt: serialized[0],\n deployer: AztecAddress::from_field(serialized[1]),\n contract_class_id: ContractClassId::from_field(serialized[2]),\n initialization_hash: serialized[3],\n public_keys_hash: PublicKeysHash::from_field(serialized[4])\n }\n }\n}\n\nimpl Hash for ContractInstance {\n fn hash(self) -> Field {\n self.to_address().to_field()\n }\n}\n\nimpl ContractInstance {\n fn to_address(self) -> AztecAddress {\n AztecAddress::compute(\n self.public_keys_hash,\n PartialAddress::compute(\n self.contract_class_id,\n self.salt,\n self.initialization_hash,\n self.deployer\n )\n )\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/contract_instance.nr"},"306":{"source":"use crate::{\n address::{partial_address::PartialAddress, public_keys_hash::PublicKeysHash},\n constants::{AZTEC_ADDRESS_LENGTH, GENERATOR_INDEX__CONTRACT_ADDRESS_V1},\n hash::poseidon2_hash_with_separator, traits::{Empty, FromField, ToField, Serialize, Deserialize},\n utils\n};\n\n// Aztec address\npub struct AztecAddress {\n inner : Field\n}\n\nimpl Eq for AztecAddress {\n fn eq(self, other: Self) -> bool {\n self.to_field() == other.to_field()\n }\n}\n\nimpl Empty for AztecAddress {\n fn empty() -> Self {\n Self { inner: 0 }\n }\n}\n\nimpl ToField for AztecAddress {\n fn to_field(self) -> Field {\n self.inner\n }\n}\n\nimpl FromField for AztecAddress {\n fn from_field(value: Field) -> AztecAddress {\n AztecAddress { inner: value }\n }\n}\n\nimpl Serialize for AztecAddress {\n fn serialize(self: Self) -> [Field; AZTEC_ADDRESS_LENGTH] {\n [self.to_field()]\n }\n}\n\nimpl Deserialize for AztecAddress {\n fn deserialize(fields: [Field; AZTEC_ADDRESS_LENGTH]) -> Self {\n FromField::from_field(fields[0])\n }\n}\n\nimpl AztecAddress {\n pub fn zero() -> Self {\n Self { inner: 0 }\n }\n\n pub fn compute(pub_keys_hash: PublicKeysHash, partial_address: PartialAddress) -> AztecAddress {\n AztecAddress::from_field(\n poseidon2_hash_with_separator(\n [pub_keys_hash.to_field(), partial_address.to_field()],\n GENERATOR_INDEX__CONTRACT_ADDRESS_V1\n )\n )\n }\n\n pub fn is_zero(self) -> bool {\n self.inner == 0\n }\n\n pub fn assert_is_zero(self) {\n assert(self.to_field() == 0);\n }\n\n pub fn conditional_assign(predicate: bool, lhs: Self, rhs: Self) -> Self {\n let result = utils::conditional_assign(predicate, rhs.to_field(), lhs.to_field());\n Self { inner: result }\n }\n}\n\n#[test]\nfn compute_address_from_partial_and_pub_keys_hash() {\n let pub_keys_hash = PublicKeysHash::from_field(1);\n let partial_address = PartialAddress::from_field(2);\n\n let address = AztecAddress::compute(pub_keys_hash, partial_address);\n let expected_computed_address_from_partial_and_pubkey = 0x23ce9be3fa3c846b0f9245cc796902e731d04f086e8a42473bb29e405fc98075;\n assert(address.to_field() == expected_computed_address_from_partial_and_pubkey);\n}\n\n#[test]\nfn from_field_to_field() {\n let address = AztecAddress { inner: 37 };\n assert_eq(FromField::from_field(address.to_field()), address);\n}\n\n#[test]\nfn serde() {\n let address = AztecAddress { inner: 37 };\n assert_eq(Deserialize::deserialize(address.serialize()), address);\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/address/aztec_address.nr"},"308":{"source":"use crate::{\n address::{aztec_address::AztecAddress}, constants::GENERATOR_INDEX__PARTIAL_ADDRESS,\n hash::poseidon2_hash_with_separator, traits::ToField\n};\n\n// Salted initialization hash. Used in the computation of a partial address.\npub struct SaltedInitializationHash {\n inner: Field\n}\n\nimpl ToField for SaltedInitializationHash {\n fn to_field(self) -> Field {\n self.inner\n }\n}\n\nimpl SaltedInitializationHash {\n pub fn from_field(field: Field) -> Self {\n Self { inner: field }\n }\n\n pub fn compute(salt: Field, initialization_hash: Field, deployer: AztecAddress) -> Self {\n SaltedInitializationHash::from_field(\n poseidon2_hash_with_separator(\n [\n salt,\n initialization_hash,\n deployer.to_field()\n ],\n GENERATOR_INDEX__PARTIAL_ADDRESS\n )\n )\n }\n\n pub fn assert_is_zero(self) {\n assert(self.to_field() == 0);\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/address/salted_initialization_hash.nr"},"309":{"source":"use crate::{\n address::{salted_initialization_hash::SaltedInitializationHash, aztec_address::AztecAddress},\n constants::GENERATOR_INDEX__PARTIAL_ADDRESS, contract_class_id::ContractClassId,\n hash::poseidon2_hash_with_separator, traits::{ToField, Serialize, Deserialize}\n};\n\nglobal PARTIAL_ADDRESS_LENGTH: u32 = 1;\n\n// Partial address\npub struct PartialAddress {\n inner : Field\n}\n\nimpl ToField for PartialAddress {\n fn to_field(self) -> Field {\n self.inner\n }\n}\n\nimpl Serialize for PartialAddress {\n fn serialize(self: Self) -> [Field; PARTIAL_ADDRESS_LENGTH] {\n [self.to_field()]\n }\n}\n\nimpl Deserialize for PartialAddress {\n fn deserialize(fields: [Field; PARTIAL_ADDRESS_LENGTH]) -> Self {\n PartialAddress { inner: fields[0] }\n }\n}\n\nimpl PartialAddress {\n pub fn from_field(field: Field) -> Self {\n Self { inner: field }\n }\n\n pub fn compute(\n contract_class_id: ContractClassId,\n salt: Field,\n initialization_hash: Field,\n deployer: AztecAddress\n ) -> Self {\n PartialAddress::compute_from_salted_initialization_hash(\n contract_class_id,\n SaltedInitializationHash::compute(salt, initialization_hash, deployer)\n )\n }\n\n pub fn compute_from_salted_initialization_hash(\n contract_class_id: ContractClassId,\n salted_initialization_hash: SaltedInitializationHash\n ) -> Self {\n PartialAddress::from_field(\n poseidon2_hash_with_separator(\n [\n contract_class_id.to_field(),\n salted_initialization_hash.to_field()\n ],\n GENERATOR_INDEX__PARTIAL_ADDRESS\n )\n )\n }\n\n pub fn to_field(self) -> Field {\n self.inner\n }\n\n pub fn is_zero(self) -> bool {\n self.to_field() == 0\n }\n\n pub fn assert_is_zero(self) {\n assert(self.to_field() == 0);\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/address/partial_address.nr"},"314":{"source":"use crate::{\n abis::{\n contract_class_function_leaf_preimage::ContractClassFunctionLeafPreimage,\n function_selector::FunctionSelector, log_hash::{LogHash, ScopedLogHash, ScopedEncryptedLogHash},\n note_hash::ScopedNoteHash, nullifier::ScopedNullifier\n},\n address::{AztecAddress, EthAddress},\n constants::{\n FUNCTION_TREE_HEIGHT, GENERATOR_INDEX__SILOED_NOTE_HASH, GENERATOR_INDEX__OUTER_NULLIFIER,\n GENERATOR_INDEX__VK, GENERATOR_INDEX__NOTE_HASH_NONCE, GENERATOR_INDEX__UNIQUE_NOTE_HASH,\n MAX_ENCRYPTED_LOGS_PER_TX, MAX_NOTE_ENCRYPTED_LOGS_PER_TX\n},\n merkle_tree::root::root_from_sibling_path,\n messaging::l2_to_l1_message::{L2ToL1Message, ScopedL2ToL1Message},\n recursion::verification_key::VerificationKey, traits::{is_empty, ToField},\n utils::field::field_from_bytes_32_trunc\n};\nuse super::utils::field::field_from_bytes;\n\npub fn sha256_to_field(bytes_to_hash: [u8; N]) -> Field {\n let sha256_hashed = std::hash::sha256(bytes_to_hash);\n let hash_in_a_field = field_from_bytes_32_trunc(sha256_hashed);\n\n hash_in_a_field\n}\n\npub fn private_functions_root_from_siblings(\n selector: FunctionSelector,\n vk_hash: Field,\n function_leaf_index: Field,\n function_leaf_sibling_path: [Field; FUNCTION_TREE_HEIGHT]\n) -> Field {\n let function_leaf_preimage = ContractClassFunctionLeafPreimage { selector, vk_hash };\n let function_leaf = function_leaf_preimage.hash();\n root_from_sibling_path(function_leaf, function_leaf_index, function_leaf_sibling_path)\n}\n\nfn compute_note_hash_nonce(tx_hash: Field, note_index_in_tx: u32) -> Field {\n // Hashing tx hash with note index in tx is guaranteed to be unique\n poseidon2_hash_with_separator(\n [\n tx_hash,\n note_index_in_tx as Field\n ],\n GENERATOR_INDEX__NOTE_HASH_NONCE\n )\n}\n\npub fn compute_unique_note_hash(nonce: Field, note_hash: Field) -> Field {\n let inputs = [nonce, note_hash];\n poseidon2_hash_with_separator(inputs, GENERATOR_INDEX__UNIQUE_NOTE_HASH)\n}\n\npub fn compute_siloed_note_hash(app: AztecAddress, unique_note_hash: Field) -> Field {\n poseidon2_hash_with_separator(\n [\n app.to_field(),\n unique_note_hash\n ],\n GENERATOR_INDEX__SILOED_NOTE_HASH\n )\n}\n\n/// Siloing in the context of Aztec refers to the process of hashing a note hash with a contract address (this way\n/// the note hash is scoped to a specific contract). This is used to prevent intermingling of notes between contracts.\npub fn silo_note_hash(note_hash: ScopedNoteHash, tx_hash: Field, note_index_in_tx: u32) -> Field {\n if note_hash.contract_address.is_zero() {\n 0\n } else {\n let nonce = compute_note_hash_nonce(tx_hash, note_index_in_tx);\n let unique_note_hash = compute_unique_note_hash(nonce, note_hash.value());\n compute_siloed_note_hash(note_hash.contract_address, unique_note_hash)\n }\n}\n\npub fn compute_siloed_nullifier(app: AztecAddress, nullifier: Field) -> Field {\n poseidon2_hash_with_separator(\n [\n app.to_field(),\n nullifier\n ],\n GENERATOR_INDEX__OUTER_NULLIFIER\n )\n}\n\npub fn silo_nullifier(nullifier: ScopedNullifier) -> Field {\n if nullifier.contract_address.is_zero() {\n nullifier.value() // Return value instead of 0 because the first nullifier's contract address is zero.\n } else {\n compute_siloed_nullifier(nullifier.contract_address, nullifier.value())\n }\n}\n\npub fn silo_encrypted_log_hash(log_hash: ScopedLogHash) -> Field {\n // We assume contract address has already been masked\n if log_hash.contract_address.is_zero() {\n 0\n } else {\n accumulate_sha256([log_hash.contract_address.to_field(), log_hash.log_hash.value])\n }\n}\n\npub fn mask_encrypted_log_hash(scoped_log: ScopedEncryptedLogHash) -> AztecAddress {\n if scoped_log.contract_address.is_zero() {\n AztecAddress::from_field(0)\n } else if (scoped_log.log_hash.randomness == 0) {\n scoped_log.contract_address\n } else {\n AztecAddress::from_field(\n poseidon2_hash_with_separator(\n [scoped_log.contract_address.to_field(), scoped_log.log_hash.randomness],\n 0\n )\n )\n }\n}\n\nfn compute_siloed_unencrypted_log_hash(address: AztecAddress, log_hash: Field) -> Field {\n accumulate_sha256([address.to_field(), log_hash])\n}\n\npub fn silo_unencrypted_log_hash(log_hash: ScopedLogHash) -> Field {\n if log_hash.contract_address.is_zero() {\n 0\n } else {\n compute_siloed_unencrypted_log_hash(log_hash.contract_address, log_hash.value())\n }\n}\n\npub fn merkle_hash(left: Field, right: Field) -> Field {\n poseidon2_hash([left, right])\n}\n\npub fn stdlib_recursion_verification_key_compress_native_vk(_vk: VerificationKey) -> Field {\n // Original cpp code\n // stdlib::recursion::verification_key::compress_native(private_call.vk, GeneratorIndex::VK);\n // The above cpp method is only ever called on verification key, so it has been special cased here\n let _hash_index = GENERATOR_INDEX__VK;\n 0\n}\n\npub fn compute_l2_to_l1_hash(\n contract_address: AztecAddress,\n recipient: EthAddress,\n content: Field,\n rollup_version_id: Field,\n chain_id: Field\n) -> Field {\n let mut bytes: BoundedVec = BoundedVec::new();\n\n let inputs = [contract_address.to_field(), rollup_version_id, recipient.to_field(), chain_id, content];\n for i in 0..inputs.len() {\n // TODO are bytes be in fr.to_buffer() ?\n let item_bytes: [u8; 32] = inputs[i].to_be_bytes();\n for j in 0..32 {\n bytes.push(item_bytes[j]);\n }\n }\n\n sha256_to_field(bytes.storage)\n}\n\npub fn silo_l2_to_l1_message(msg: ScopedL2ToL1Message, rollup_version_id: Field, chain_id: Field) -> Field {\n if msg.contract_address.is_zero() {\n 0\n } else {\n compute_l2_to_l1_hash(\n msg.contract_address,\n msg.message.recipient,\n msg.message.content,\n rollup_version_id,\n chain_id\n )\n }\n}\n\n// Computes sha256 hash of 2 input hashes.\n//\n// NB: This method now takes in two 31 byte fields - it assumes that any input\n// is the result of a sha_to_field hash and => is truncated\n//\n// TODO(Jan and David): This is used for the encrypted_log hashes.\n// Can we check to see if we can just use hash_to_field or pedersen_compress here?\n//\npub fn accumulate_sha256(input: [Field; 2]) -> Field {\n // This is a note about the cpp code, since it takes an array of Fields\n // instead of a U128.\n // 4 Field elements when converted to bytes will usually\n // occupy 4 * 32 = 128 bytes.\n // However, this function is making the assumption that each Field\n // only occupies 128 bits.\n //\n // TODO(David): This does not seem to be getting guaranteed anywhere in the code?\n\n // Concatentate two fields into 32x2 = 64 bytes\n // accumulate_sha256 assumes that the inputs are pre-truncated 31 byte numbers\n let mut hash_input_flattened = [0; 64];\n for offset in 0..input.len() {\n let input_as_bytes: [u8; 32] = input[offset].to_be_bytes();\n for byte_index in 0..32 {\n hash_input_flattened[offset * 32 + byte_index] = input_as_bytes[byte_index];\n }\n }\n\n sha256_to_field(hash_input_flattened)\n}\n\n// Computes the final logs hash for a tx.\n// NB: this assumes MAX_ENCRYPTED_LOGS_PER_TX == MAX_UNENCRYPTED_LOGS_PER_TX\n// to avoid doubling code, since we can't define the byte len to be 32*N directly.\npub fn compute_tx_logs_hash(logs: [LogHash; MAX_ENCRYPTED_LOGS_PER_TX]) -> Field {\n // Convert each field element into a byte array and append the bytes to `hash_input_flattened`\n let mut hash_input_flattened = [0; MAX_ENCRYPTED_LOGS_PER_TX * 32];\n for offset in 0..MAX_ENCRYPTED_LOGS_PER_TX {\n let input_as_bytes: [u8; 32] = logs[offset].value.to_be_bytes();\n for byte_index in 0..32 {\n hash_input_flattened[offset * 32 + byte_index] = input_as_bytes[byte_index];\n }\n }\n // Ideally we would push to a slice then hash, but there is no sha_slice\n // Hardcode to 256 bytes for now\n let mut hash = sha256_to_field(hash_input_flattened);\n // Not having a 0 value hash for empty logs causes issues with empty txs\n // used for padding. Returning early is currently unsupported.\n // We always provide sorted logs here, so 0 being empty means all are empty.\n if is_empty(logs[0]) {\n hash = 0;\n }\n hash\n}\n\npub fn compute_tx_note_logs_hash(logs: [LogHash; MAX_NOTE_ENCRYPTED_LOGS_PER_TX]) -> Field {\n // Convert each field element into a byte array and append the bytes to `hash_input_flattened`\n let mut hash_input_flattened = [0; MAX_NOTE_ENCRYPTED_LOGS_PER_TX * 32];\n for offset in 0..MAX_NOTE_ENCRYPTED_LOGS_PER_TX {\n let input_as_bytes: [u8; 32] = logs[offset].value.to_be_bytes();\n for byte_index in 0..32 {\n hash_input_flattened[offset * 32 + byte_index] = input_as_bytes[byte_index];\n }\n }\n // Ideally we would push to a slice then hash, but there is no sha_slice\n // Hardcode to 256 bytes for now\n let mut hash = sha256_to_field(hash_input_flattened);\n // Not having a 0 value hash for empty logs causes issues with empty txs\n // used for padding. Returning early is currently unsupported.\n // We always provide sorted logs here, so 0 being empty means all are empty.\n if is_empty(logs[0]) {\n hash = 0;\n }\n hash\n}\n\npub fn pedersen_hash(inputs: [Field; N], hash_index: u32) -> Field {\n std::hash::pedersen_hash_with_separator(inputs, hash_index)\n}\n\npub fn poseidon2_hash(inputs: [Field; N]) -> Field {\n std::hash::poseidon2::Poseidon2::hash(inputs, N)\n}\n\n#[no_predicates]\npub fn poseidon2_hash_with_separator(\n inputs: [Field; N],\n separator: T\n) -> Field where T: ToField {\n // We manually hash the inputs here, since we cannot express with the type system a constant size inputs array of N + 1\n let in_len = N + 1;\n let two_pow_64 = 18446744073709551616;\n let iv : Field = (in_len as Field) * two_pow_64;\n let mut sponge = std::hash::poseidon2::Poseidon2::new(iv);\n sponge.absorb(separator.to_field());\n\n for i in 0..inputs.len() {\n sponge.absorb(inputs[i]);\n }\n\n sponge.squeeze()\n}\n\npub fn poseidon2_hash_with_separator_slice(inputs: [Field], separator: T) -> Field where T: ToField {\n let in_len = inputs.len() + 1;\n let two_pow_64 = 18446744073709551616;\n let iv : Field = (in_len as Field) * two_pow_64;\n let mut sponge = std::hash::poseidon2::Poseidon2::new(iv);\n sponge.absorb(separator.to_field());\n\n for i in 0..inputs.len() {\n sponge.absorb(inputs[i]);\n }\n\n sponge.squeeze()\n}\n\n#[no_predicates]\npub fn poseidon2_hash_bytes(inputs: [u8; N]) -> Field {\n // We manually hash the inputs here, since we cannot express with the type system a constant size inputs array of Math.ceil(N/31)\n let mut in_len = N / 31;\n let mut has_padding = false;\n if N % 31 != 0 {\n in_len += 1;\n has_padding = true;\n }\n\n let two_pow_64 = 18446744073709551616;\n let iv : Field = (in_len as Field) * two_pow_64;\n let mut sponge = std::hash::poseidon2::Poseidon2::new(iv);\n\n let mut current_field = [0; 31];\n for i in 0..inputs.len() {\n let index = i % 31;\n current_field[index] = inputs[i];\n if index == 30 {\n sponge.absorb(field_from_bytes(current_field, false));\n current_field = [0; 31];\n }\n }\n if has_padding {\n sponge.absorb(field_from_bytes(current_field, false));\n }\n\n sponge.squeeze()\n}\n\n#[test]\nfn smoke_sha256_to_field() {\n let full_buffer = [\n 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,\n 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,\n 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,\n 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79,\n 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99,\n 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119,\n 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159\n ];\n let result = sha256_to_field(full_buffer);\n\n assert(result == 0x448ebbc9e1a31220a2f3830c18eef61b9bd070e5084b7fa2a359fe729184c7);\n\n // to show correctness of the current ver (truncate one byte) vs old ver (mod full bytes):\n let result_bytes = std::hash::sha256(full_buffer);\n let truncated_field = crate::utils::field::field_from_bytes_32_trunc(result_bytes);\n assert(truncated_field == result);\n let mod_res = result + (result_bytes[31] as Field);\n assert(mod_res == 0x448ebbc9e1a31220a2f3830c18eef61b9bd070e5084b7fa2a359fe729184e0);\n}\n\n#[test]\nfn compute_l2_l1_hash() {\n // All zeroes\n let hash_result = compute_l2_to_l1_hash(AztecAddress::from_field(0), EthAddress::zero(), 0, 0, 0);\n assert(hash_result == 0xb393978842a0fa3d3e1470196f098f473f9678e72463cb65ec4ab5581856c2);\n\n // Non-zero case\n let hash_result = compute_l2_to_l1_hash(AztecAddress::from_field(1), EthAddress::from_field(3), 5, 2, 4);\n assert(hash_result == 0x3f88c1044a05e5340ed20466276500f6d45ca5603913b9091e957161734e16);\n}\n\n#[test]\nfn silo_l2_to_l1_message_matches_typescript() {\n let version = 4;\n let chainId = 5;\n\n let hash = silo_l2_to_l1_message(\n ScopedL2ToL1Message {\n message: L2ToL1Message { recipient: EthAddress::from_field(1), content: 2, counter: 0 },\n contract_address: AztecAddress::from_field(3)\n },\n version,\n chainId\n );\n\n // The following value was generated by `l2_to_l1_message.test.ts`\n let hash_from_typescript = 0x00c6155d69febb9d5039b374dd4f77bf57b7c881709aa524a18acaa0bd57476a;\n\n assert_eq(hash, hash_from_typescript);\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/hash.nr"},"315":{"source":"pub use dep::std::embedded_curve_ops::EmbeddedCurvePoint as Point;\nuse crate::{traits::{Deserialize, Empty, Hash, Serialize}, hash::poseidon2_hash};\n\nglobal POINT_LENGTH: u32 = 3;\n\nimpl Serialize for Point {\n fn serialize(self: Self) -> [Field; POINT_LENGTH] {\n [self.x, self.y, self.is_infinite as Field]\n }\n}\n\nimpl Hash for Point {\n fn hash(self) -> Field {\n poseidon2_hash(self.serialize())\n }\n}\n\nimpl Empty for Point {\n /// Note: Does not return a valid point on curve - instead represents an empty/\"unpopulated\" point struct (e.g.\n /// empty/unpopulated value in an array of points).\n fn empty() -> Self {\n Point { x: 0, y: 0, is_infinite: false }\n }\n}\n\nimpl Deserialize for Point {\n fn deserialize(serialized: [Field; POINT_LENGTH]) -> Point {\n Point { x: serialized[0], y: serialized[1], is_infinite: serialized[2] as bool }\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/point.nr"},"329":{"source":"use dep::aztec::{\n context::PrivateContext, protocol_types::{address::AztecAddress},\n note::note_getter_options::NoteGetterOptions, state_vars::PrivateSet,\n encrypted_logs::encrypted_note_emission::encode_and_encrypt_note, keys::getters::get_public_keys\n};\nuse dep::value_note::{filter::filter_notes_min_sum, value_note::ValueNote};\n\npub struct EasyPrivateUint {\n context: Context,\n set: PrivateSet,\n storage_slot: Field,\n}\n\n// Holds a note that can act similarly to an int.\nimpl EasyPrivateUint {\n pub fn new(context: Context, storage_slot: Field) -> Self {\n assert(storage_slot != 0, \"Storage slot 0 not allowed. Storage slots must start from 1.\");\n let set = PrivateSet::new(context, storage_slot);\n EasyPrivateUint { context, set, storage_slot }\n }\n}\n\nimpl EasyPrivateUint<&mut PrivateContext> {\n // Very similar to `value_note::utils::increment`.\n pub fn add(self, addend: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n let owner_keys = get_public_keys(owner);\n let outgoing_viewer_keys = get_public_keys(outgoing_viewer);\n // Creates new note for the owner.\n let mut addend_note = ValueNote::new(addend as Field, owner_keys.npk_m.hash());\n\n // Insert the new note to the owner's set of notes.\n // docs:start:insert\n self.set.insert(&mut addend_note).emit(\n encode_and_encrypt_note(\n self.context,\n outgoing_viewer_keys.ovpk_m,\n owner_keys.ivpk_m,\n owner\n )\n );\n // docs:end:insert\n }\n\n // Very similar to `value_note::utils::decrement`.\n pub fn sub(self, subtrahend: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n let owner_keys = get_public_keys(owner);\n let outgoing_viewer_keys = get_public_keys(outgoing_viewer);\n\n // docs:start:pop_notes\n let options = NoteGetterOptions::with_filter(filter_notes_min_sum, subtrahend as Field);\n let notes = self.set.pop_notes(options);\n // docs:end:pop_notes\n\n let mut minuend: u64 = 0;\n for i in 0..options.limit {\n if i < notes.len() {\n let note = notes.get_unchecked(i);\n\n minuend += note.value as u64;\n }\n }\n\n assert(minuend >= subtrahend);\n\n // Creates change note for the owner.\n let result_value = minuend - subtrahend;\n let mut result_note = ValueNote::new(result_value as Field, owner_keys.npk_m.hash());\n self.set.insert(&mut result_note).emit(\n encode_and_encrypt_note(\n self.context,\n outgoing_viewer_keys.ovpk_m,\n owner_keys.ivpk_m,\n owner\n )\n );\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/easy-private-state/src/easy_private_uint.nr"},"334":{"source":"use dep::aztec::{\n protocol_types::{traits::Serialize, constants::GENERATOR_INDEX__NOTE_NULLIFIER, hash::poseidon2_hash_with_separator},\n macros::notes::note,\n note::{note_header::NoteHeader, note_interface::NullifiableNote, utils::compute_note_hash_for_nullify},\n oracle::random::random, keys::getters::get_nsk_app, context::PrivateContext\n};\n\nglobal VALUE_NOTE_LEN: u32 = 3; // 3 plus a header.\n\n// docs:start:value-note-def\n// ValueNote is used as fn parameter in the Claim contract, so it has to implement the Serialize trait.\n// It is important that the order of these annotations is preserved so that derive(Serialize) runs AFTER the note macro, which injects the note header.\n#[note]\n#[derive(Serialize)]\npub struct ValueNote {\n value: Field,\n // The nullifying public key hash is used with the nsk_app to ensure that the note can be privately spent.\n npk_m_hash: Field,\n randomness: Field,\n}\n// docs:end:value-note-def\n\nimpl NullifiableNote for ValueNote {\n // docs:start:nullifier\n\n fn compute_nullifier(self, context: &mut PrivateContext, note_hash_for_nullify: Field) -> Field {\n let secret = context.request_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n\n // docs:end:nullifier\n\n unconstrained fn compute_nullifier_without_context(self) -> Field {\n let note_hash_for_nullify = compute_note_hash_for_nullify(self);\n let secret = get_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n}\n\nimpl ValueNote {\n pub fn new(value: Field, npk_m_hash: Field) -> Self {\n // We use the randomness to preserve the privacy of the note recipient by preventing brute-forcing, so a\n // malicious sender could use non-random values to make the note less private. But they already know the full\n // note pre-image anyway, and so the recipient already trusts them to not disclose this information. We can\n // therefore assume that the sender will cooperate in the random value generation.\n let randomness = unsafe {\n random()\n };\n let header = NoteHeader::empty();\n ValueNote { value, npk_m_hash, randomness, header }\n }\n}\n\nimpl Eq for ValueNote {\n fn eq(self, other: Self) -> bool {\n (self.value == other.value)\n & (self.npk_m_hash == other.npk_m_hash)\n & (self.randomness == other.randomness)\n }\n}\n","path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/value-note/src/value_note.nr"}}} \ No newline at end of file diff --git a/profile.io-social-cipher/frontend/.eslintrc.json b/profile.io-social-cipher/frontend/.eslintrc.json new file mode 100644 index 000000000..bffb357a7 --- /dev/null +++ b/profile.io-social-cipher/frontend/.eslintrc.json @@ -0,0 +1,3 @@ +{ + "extends": "next/core-web-vitals" +} diff --git a/profile.io-social-cipher/frontend/.gitignore b/profile.io-social-cipher/frontend/.gitignore new file mode 100644 index 000000000..fd3dbb571 --- /dev/null +++ b/profile.io-social-cipher/frontend/.gitignore @@ -0,0 +1,36 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js +.yarn/install-state.gz + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/profile.io-social-cipher/frontend/README.md b/profile.io-social-cipher/frontend/README.md new file mode 100644 index 000000000..c4033664f --- /dev/null +++ b/profile.io-social-cipher/frontend/README.md @@ -0,0 +1,36 @@ +This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app). + +## Getting Started + +First, run the development server: + +```bash +npm run dev +# or +yarn dev +# or +pnpm dev +# or +bun dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font. + +## Learn More + +To learn more about Next.js, take a look at the following resources: + +- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. +- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. + +You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome! + +## Deploy on Vercel + +The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. + +Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details. diff --git a/profile.io-social-cipher/frontend/next.config.js b/profile.io-social-cipher/frontend/next.config.js new file mode 100644 index 000000000..3b0ed0ab4 --- /dev/null +++ b/profile.io-social-cipher/frontend/next.config.js @@ -0,0 +1,15 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + webpack: (config, { dev, isServer }) => { + // ignore 'fs' on client-side + if (!isServer) { + config.resolve.fallback = { + fs: false, + }; + } + + return config; + }, +} + +module.exports = nextConfig diff --git a/profile.io-social-cipher/frontend/package-lock.json b/profile.io-social-cipher/frontend/package-lock.json new file mode 100644 index 000000000..19607126d --- /dev/null +++ b/profile.io-social-cipher/frontend/package-lock.json @@ -0,0 +1,6373 @@ +{ + "name": "aztec-profile.io-social-cipher", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "aztec-profile.io-social-cipher", + "version": "0.1.0", + "dependencies": { + 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b/profile.io-social-cipher/frontend/package.json new file mode 100644 index 000000000..fc7457d04 --- /dev/null +++ b/profile.io-social-cipher/frontend/package.json @@ -0,0 +1,29 @@ +{ + "name": "aztec-profile.io-social-cipher", + "version": "0.1.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint" + }, + "dependencies": { + "@aztec/accounts": "0.57.0", + "@aztec/aztec.js": "0.57.0", + "next": "14.0.4", + "react": "^18", + "react-dom": "^18" + }, + "devDependencies": { + "@types/node": "^20", + "@types/react": "^18", + "@types/react-dom": "^18", + "autoprefixer": "^10.0.1", + "eslint": "^8", + "eslint-config-next": "14.0.4", + "postcss": "^8", + "tailwindcss": "^3.3.0", + "typescript": "^5" + } +} diff --git a/profile.io-social-cipher/frontend/postcss.config.js b/profile.io-social-cipher/frontend/postcss.config.js new file mode 100644 index 000000000..33ad091d2 --- /dev/null +++ b/profile.io-social-cipher/frontend/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/profile.io-social-cipher/frontend/src/app/contracts/Profile.ts b/profile.io-social-cipher/frontend/src/app/contracts/Profile.ts new file mode 100644 index 000000000..ee8b73ca9 --- /dev/null +++ b/profile.io-social-cipher/frontend/src/app/contracts/Profile.ts @@ -0,0 +1,160 @@ + +/* Autogenerated file, do not edit! */ + +/* eslint-disable */ +import { + type AbiType, + AztecAddress, + type AztecAddressLike, + CompleteAddress, + Contract, + type ContractArtifact, + ContractBase, + ContractFunctionInteraction, + type ContractInstanceWithAddress, + type ContractMethod, + type ContractStorageLayout, + type ContractNotes, + decodeFromAbi, + DeployMethod, + EthAddress, + type EthAddressLike, + EventSelector, + type FieldLike, + Fr, + type FunctionSelectorLike, + L1EventPayload, + loadContractArtifact, + type NoirCompiledContract, + NoteSelector, + Point, + type PublicKey, + type UnencryptedL2Log, + type Wallet, + type WrappedFieldLike, +} from '@aztec/aztec.js'; +import ProfileContractArtifactJson from './zkpTestContract-Profile.json' assert { type: 'json' }; +export const ProfileContractArtifact = loadContractArtifact(ProfileContractArtifactJson as NoirCompiledContract); + + + +/** + * Type-safe interface for contract Profile; + */ +export class ProfileContract extends ContractBase { + + private constructor( + instance: ContractInstanceWithAddress, + wallet: Wallet, + ) { + super(instance, ProfileContractArtifact, wallet); + } + + + + /** + * Creates a contract instance. + * @param address - The deployed contract's address. + * @param wallet - The wallet to use when interacting with the contract. + * @returns A promise that resolves to a new Contract instance. + */ + public static async at( + address: AztecAddress, + wallet: Wallet, + ) { + return Contract.at(address, ProfileContract.artifact, wallet) as Promise; + } + + + /** + * Creates a tx to deploy a new instance of this contract. + */ + public static deploy(wallet: Wallet, initial_supply: (bigint | number), owner: AztecAddressLike, outgoing_viewer: AztecAddressLike) { + return new DeployMethod(Fr.ZERO, wallet, ProfileContractArtifact, ProfileContract.at, Array.from(arguments).slice(1)); + } + + /** + * Creates a tx to deploy a new instance of this contract using the specified public keys hash to derive the address. + */ + public static deployWithPublicKeysHash(publicKeysHash: Fr, wallet: Wallet, initial_supply: (bigint | number), owner: AztecAddressLike, outgoing_viewer: AztecAddressLike) { + return new DeployMethod(publicKeysHash, wallet, ProfileContractArtifact, ProfileContract.at, Array.from(arguments).slice(2)); + } + + /** + * Creates a tx to deploy a new instance of this contract using the specified constructor method. + */ + public static deployWithOpts( + opts: { publicKeysHash?: Fr; method?: M; wallet: Wallet }, + ...args: Parameters + ) { + return new DeployMethod( + opts.publicKeysHash ?? Fr.ZERO, + opts.wallet, + ProfileContractArtifact, + ProfileContract.at, + Array.from(arguments).slice(1), + opts.method ?? 'constructor', + ); + } + + + + /** + * Returns this contract's artifact. + */ + public static get artifact(): ContractArtifact { + return ProfileContractArtifact; + } + + + public static get storage(): ContractStorageLayout<'balances' | 'is_adult' | 'profile_nfts'> { + return { + balances: { + slot: new Fr(1n), + }, +is_adult: { + slot: new Fr(2n), + }, +profile_nfts: { + slot: new Fr(3n), + } + } as ContractStorageLayout<'balances' | 'is_adult' | 'profile_nfts'>; + } + + + public static get notes(): ContractNotes<'ProfileNFT' | 'ValueNote'> { + return { + ProfileNFT: { + id: new NoteSelector(4239572523), + }, +ValueNote: { + id: new NoteSelector(1038582377), + } + } as ContractNotes<'ProfileNFT' | 'ValueNote'>; + } + + + /** Type-safe wrappers for the public methods exposed by the contract. */ + public declare methods: { + + /** compute_note_hash_and_optionally_a_nullifier(contract_address: struct, nonce: field, storage_slot: field, note_type_id: field, compute_nullifier: boolean, serialized_note: array) */ + compute_note_hash_and_optionally_a_nullifier: ((contract_address: AztecAddressLike, nonce: FieldLike, storage_slot: FieldLike, note_type_id: FieldLike, compute_nullifier: boolean, serialized_note: FieldLike[]) => ContractFunctionInteraction) & Pick; + + /** constructor(initial_supply: integer, owner: struct, outgoing_viewer: struct) */ + constructor: ((initial_supply: (bigint | number), owner: AztecAddressLike, outgoing_viewer: AztecAddressLike) => ContractFunctionInteraction) & Pick; + + /** get_profile_nfts(owner: struct, page_index: integer) */ + get_profile_nfts: ((owner: AztecAddressLike, page_index: (bigint | number)) => ContractFunctionInteraction) & Pick; + + /** mint(amount: integer, owner: struct, outgoing_viewer: struct) */ + mint: ((amount: (bigint | number), owner: AztecAddressLike, outgoing_viewer: AztecAddressLike) => ContractFunctionInteraction) & Pick; + + /** mintNFT(to: struct, token_id: field, is_adult: boolean) */ + mintNFT: ((to: AztecAddressLike, token_id: FieldLike, is_adult: boolean) => ContractFunctionInteraction) & Pick; + + /** update_is_adult(amount: integer, owner: struct, recipient: struct) */ + update_is_adult: ((amount: (bigint | number), owner: AztecAddressLike, recipient: AztecAddressLike) => ContractFunctionInteraction) & Pick; + }; + + +} diff --git a/profile.io-social-cipher/frontend/src/app/contracts/zkpTestContract-Profile.json b/profile.io-social-cipher/frontend/src/app/contracts/zkpTestContract-Profile.json new file mode 100644 index 000000000..8fe46d0ee --- /dev/null +++ b/profile.io-social-cipher/frontend/src/app/contracts/zkpTestContract-Profile.json @@ -0,0 +1 @@ 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","brillig_names":["get_public_keys_and_partial_address","random","decompose_hint","notify_created_note_oracle_wrapper","get_key_validation_request","lt_32_hint","lte_16_hint","build_msg_block_iter","pad_msg_block","attach_len_to_msg_block","build_msg_block_iter","emit_encrypted_note_log_oracle_wrapper","directive_invert","directive_integer_quotient"]},{"name":"compute_note_hash_and_optionally_a_nullifier","is_unconstrained":true,"custom_attributes":[],"abi":{"error_types":{"12265343917440897559":{"error_kind":"fmtstring","item_types":[],"length":20}},"parameters":[{"name":"contract_address","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"},"visibility":"private"},{"name":"nonce","type":{"kind":"field"},"visibility":"private"},{"name":"storage_slot","type":{"kind":"field"},"visibility":"private"},{"name":"note_type_id","type":{"kind":"field"},"visibility":"private"},{"name":"compute_nullifier","type":{"kind":"boolean"},"visibility":"private"},{"name":"serialized_note","type":{"kind":"array","length":6,"type":{"kind":"field"}},"visibility":"private"}],"return_type":{"abi_type":{"kind":"array","length":4,"type":{"kind":"field"}},"visibility":"public"}},"bytecode":"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","debug_symbols":"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","debug_symbols":"7P3briTZtp3pvcu+5oUfhp/qVQRBKKmqBAIFUhCpK6LeXbF3rjlzrjHcw1eyWZr3YfbdcRO+ImP+rWdY/5tHWv8f//a//e//z//f//v/8Z//y//xX//bv/0v/7f/8W//53/9f/2v//0//9f/8uv/+h//drz8x//ff/v//K//5d//z//23//X/+9//7f/5Xg7tf/0b//7f/nf/v3/eW7/13/6t//jP/+f//u//S+3w//1n4YPn26Xrw+fbrfr94ePl/bk0+d2vvzj0+fL4f7m08fD7Xz++p0cbu3PX/18fPr5drh/fbydbn9++umHj8ev38rxeG0/P/x//0//drwi84LMDZkXZO7VydwOf5K5t3dk7rfT18fvj2NE5oHMczKnQ0zmfD9/TfD5fvvzw4/zf/wDjn/3P+AU/wOOp/P168On2/FHWucnn36cD19AH+fT6edv58nYnC/3r9/8r3/K8db/7s9T/+7bs999a+ev331r//6b+P3vvh2/f/f3y4/f/eM//gmXv/2fcP3b/wm3v/2fcM//Ced2+/onnO+Hf/onPBmM0/37T8PT48efb9env/avP6W+/wh6/HgiHo7PPv24fH/68ePTL37t+/F7+u+nx/enT3/88fYA5imY8wGY52COOwbz/UMe7+3WgzkB8xzMGZjnYNp+wdxutz/B3Hswlw2BOR2OX757OlxO2R++V2Ceg7kB8xzMljbfvwrmt3/4bmnzXRJM29LmuyiYLW2+fxHMbx/XbWOb7/1PMOd/+rX//Wfd2DL725+1bWrgr1+fPh0Pb3/t3z5U27b20wXBbGs/XRDMtvbTvwbmtw/Vbe2nC4LZ1n66HJjLtvbTvwTmt2vYZWPN7P1PMI9+NblsdeV89rNuaeU8HU+X75/1mnUblwbMczCb2k+XBLOp/fQvgvntQ3VT++mSYDa1ny4JZlP76V8D89s17Lqxvznw52pyHRqi62ZXzic/6+or57l9/6ztfHn3sx5Oj+8n3+H8Y4382/9e7fWMzAsyDZkXZC7IvCBzReYFmRsyL8jckXlB5oHMczK3AzIvyByReUHGDvyKjB34FZmGzAsyduBXZOzAr8hU34HPP/7r3vOP1vBv/y81b9V34M+RqbQD//r93JfYPL8L21//cr37/Rz//P0cL8fzjx7wWiup+xGZF2ROyLwgc0bmBZm2AJk/v07uyfz7P+H5Bnc5fj3uf/0Drr//J9zPXz/uz+/Ynj9Dzo/vX/d8+MHx8uSzj9s3msftx7cZz6mfv78o+adf+dlHT7f793dlt8fjTUALpvl8J7x+f2nTrrc3aT5Ox28kP94DcL0/+81cvv+D8seP7z4fj12wvmG9Gus71quxfmC9FuvHIWZ9PLTvp++v3eEN7dPp8YX7n/5uwPMYL18/5+P6429c3v7jsf44zvtbP837Wz/P+1tvb3/r93dvKbq273+Zro/LP/0Txk/fHt9b4/HHL/xsAX9cv5A8fvwh9PT30A6nL8tvh9vhx59Y//FDXrbxQx7P3392Hn/8EfePH/K6hyRve0jyvockHztI8ng47CDK4+G4iyxPm/gpz7fvF86db/f+L0f/2j1W/inv9+OfJdv59z/m9fYV0O3246/QHm9//Nbbyr/1X//EP1/u+eMvXz/9vV8u3/8OXS7tn951+ex7iN+/nvF4uOzoZ3272dwO7140er39OfPfH72fnu7W3x3o6fTjK8/HU08+fb+M4ng6vftb3btuQY+H26oxHh/frwk5Hd/E+Lg8bt+OdLz+fl4f9+t3kfL40ax/Tet9Hz/mYxc/5vGwjx/zuI0f89eSdm1/rhPH0/CDnvbyg5638oNeL3/+jaWfPdrTj+/7EXtsmwz9fh+m+7KXH/S6lx90I9vhv195+P4rk4f7efyDeSP74fsfdCMb4tsf9LSRHfH9D7qZLfHdD7qZLfHdD7qZLfHdD9r28oNuZjN694NuZjN694PuZTM67WUzOu1lMzrvZTM672UzOu9lMzrvZTM672UzOu9lMzrvZTM672UzOu9lMzrvZTNqe9mM2l42o7aXzajtZTNqe9mM2l42o7aXzajtZTNqe9mM2l42o8teNqPLXjajy142o8teNqPLXjajy142o8teNqPLXjajy142o8teNqPrXjaj6142o+teNqPrXjaj6142o+teNqPrXjaj6142o+teNqPrXjaj2142o9teNqPbXjaj2142o9teNqPbXjaj2142o9teNqPbXjaj2142o/teNqP7Xjaj+142o/teNqP7Xjaj+142o/teNqP7Xjaj+142o/teNqPHXjajx142o8deNqPHXjaj928n38oPuu5mdPp+s+zp/OPFV09/0PvpC8r90n7/0fOlfX32fLn8+Zt4huR+/Xqd1v3HG7J+/bL/geMKx08cNzh+4riXxXE8/Hgr349rg8//CPkLr6Y+H77YtfPxTyKnp2/fPX2Hcjm1488P/we+B3z/8/hOhwN8Cb4jfAm+E3wJvjN8Cb4GX4Kv7pY/Bb66VjAFvroWMQU+1hHhYx0JviPriPCxjggf64jwsY4IX4Mvwcc6InysI8LHOiJ8rCPCxzoSfCfWEeFjHRE+1hHhYx0RvgZfgo91RPhYR4SPdUT4WEeEj3Uk+M6sI8LHOiJ8rCPCxzoifA2+BB/riPCxjggf64jwsY4IH+tI8DXWEeFjHRE+1hHhYx0RvgZfgo91RPhYR4Rvh9ZxvRy/frjr9TYQ2aFIvCGyQzf4PZHLDtf9N0R2uMHfDqfvH+44EtnhUv6GyA737DdEGiIdkR1uw2+I7HDBffOssbP2ROysPRE7a0fkusOd9fd/sl7trD0RO2tPxM7aE2mIdETsrD2RHe6sb4jscGd9Q2SHO+sbIjvcWX9P5GZn7YnYWXsidtaeiJ21J9K0AR2RHe6sb4joWXsietaeiJ21J2Jn7Yjc7aw9ETtrT8TO2hOxs/ZEGiIdET1rT0TP2hPRs/ZE7Kw9ETtrR+RhZ+2J2Fl7IjvcWX/fBjx2uLO+IdIQ6YjoWXsidtaeiJ21J2Jn7YnYWf+ZyHmPpzTfELGz9kT0rD0RPWtPpCHSEdGz9kTsrD0RO2tPxM7aE7GzdkT2eIjxt23AeY+3Fd8Q0bP2RPSsPZHmT9aOiJ21J2Jn7YnYWXsidtaeiJ21I7LHM35viOhZeyJ61p6InrUn0hDpiNhZeyJ21p6InbUn4l1XPRHvuuqI7PEI3BsietaeiJ21J2Jn7Yk0RDoidtaeiJ21J2Jn7YnoWXsietaOyB5PiL0homftidhZeyJ21p5IQ6QjYmftiXjXVU/Eu656InrWnoietSOyxztYv/+T1R2sgYidtSdiZ+2JNEQ6InbWnoietSeiZ+2J6Fl7InrWjog7WAMRO2tPxM7aE7Gz9kSaNqAj4l1XPRE9a09Ez9oTsbP2ROysHRF3sAYidtaeiJ21J2Jn7Yk0RDoietaeiJ61J6Jn7YnYWXsidtaOiDtYAxE7a0/Eu656It511RNpiHRE9Kw9ETtrT8TO2hOxs/ZE7KwdEXewBiJ21p6InrUnomftiTREOiJ61p6InbUnYmftidhZeyJ21n8m0vZ4B+u3bUDb4x2sN0T0rD0RPWtPpPmTtSNiZ+2J2Fl7InbWnoidtSdiZ+2I7PEO1hsietaeiJ61J6Jn7Yk0RDoidtaeiJ21J2Jn7Yl411VPxLuuOiJ7vIP1hoietSdiZ+2J2Fl7Ig2RjoidtSdiZ+2J2Fl7InrWnoietSOyxztYb4joWXsidtaeiJ21J9IQ6YjYWXsi3nXVE/Guq56InrUnomftiLiDNRCxs/ZE7Kw9ETtrT6Qh0hGxs/ZE9Kw9ET1rT0TP2hPRs3ZE3MEaiNhZeyJ21p6InbUn0rQBHRHvuuqJ6Fl7InrWnoidtSdiZ+2IuIM1ELGz9kTsrD0RO2tPpCHSEdGz9kT0rD0RPWtPxM7aE7GzdkTcwRqI2Fl7It511RPxrqueSEOkI6Jn7YnYWXsidtaeiJ21J2Jn7Yi4gzUQsbP2RPSsPRE9a0+kIdIR0bP2ROysPRE7a0/EztoTsbN2RPZ4B+v3bcAe72C9IaJn7YnoWXsizZ+sHRE7a0/EztoTsbP2ROysPRE76z8TuezxDtYbInrWnoietSeiZ+2JNEQ6InbWnoidtSdiZ+2JeNdVT8S7rjoie7yD9YaInrUnYmftidhZeyINkY6InbUnYmftidhZeyJ61p6InrUjssc7WG+I6Fl7InbWnoidtSfSEOmI2Fl7It511RPxrqueiJ61J6Jn7Yi4gzUQsbP2ROysPRE7a0+kIdIRsbP2RPSsPRE9a09Ez9oT0bN2RNzBGojYWXsidtaeiJ21J9K0AR0R77rqiehZeyJ61p6InbUnYmftiLiDNRCxs/ZE7Kw9ETtrT6Qh0hHRs/ZE9Kw9ET1rT8TO2hOxs3ZE3MEaiNhZeyLeddUT8a6rnkhDpCOiZ+2J2Fl7InbWnoidtSdiZ+2IuIM1ELGz9kT0rD0RPWtPpCHSEdGz9kTsrD0RO2tPxM7aE7GzdkT2eAfr923AHu9gvSGiZ+2J6Fl7Is2frB0RO2tPxM7aE7Gz9kTsrD0RO2tHZI93sN4Q0bP2RPSsPRE9a0+kIdIRsbP2ROysPRE7a0/Eu656It519c9Ernu8g/WGiJ61J2Jn7YnYWXsiDZGOiJ21J2Jn7YnYWXsietaeiJ61I7LHO1hviOhZeyJ21p6InbUn0hDpiNhZeyLeddUT8a6rnoietSeiZ+2IuIM1ELGz9kTsrD0RO2tPpCHSEbGz9kT0rD0RPWtPRM/aE9GzdkTcwRqI2Fl7InbWnoidtSfStAEdEe+66onoWXsietaeiJ21J2Jn7Yi4gzUQsbP2ROysPRE7a0+kIdIR0bP2RPSsPRE9a0/EztoTsbN2RNzBGojYWXsi3nXVE/Guq55IQ6QjomftidhZeyJ21p6InbUnYmftiLiDNRCxs/ZE9Kw9ET1rT6Qh0hHRs/ZE7Kw9ETtrT8TO2hOxs3ZE9ngH6/dtwB7vYL0homftiehZeyLNn6wdETtrT8TO2hOxs/ZE7Kw9ETtrR2SPd7DeENGz9kT0rD0RPWtPpCHSEbGz9kTsrD0RO2tPxLuueiLeddUR2eMdrDdE9Kw9ETtrT8TO2hNpiHRE7Kw9ETtrT8TO2hPRs/ZE9Kz/TOS2xztYb4joWXsidtaeiJ21J9IQ6YjYWXsi3nXVE/Guq56InrUnomftiLiDNRCxs/ZE7Kw9ETtrT6Qh0hGxs/ZE9Kw9ET1rT0TP2hPRs3ZE3MEaiNhZeyJ21p6InbUn0rQBHRHvuuqJ6Fl7InrWnoidtSdiZ+2IuIM1ELGz9kTsrD0RO2tPpCHSEdGz9kT0rD0RPWtPxM7aE7GzdkTcwRqI2Fl7It511RPxrqueSEOkI6Jn7YnYWXsidtaeiJ21J2Jn7Yi4gzUQsbP2RPSsPRE9a0+kIdIR0bP2ROysPRE7a0/EztoTsbN2RPZ4B+v3bcAe72C9IaJn7YnYWXsiDZGOiJ21J2Jn7YnYWXsidtaeiPcGdETcwRqI2Fl7InrWnoidtSfSEOmI2Fl7InbWnoidtSfiXVc9ETtrR2SPd7DeELGz9kTsrD0RO2tPpCHSEbGz9kTsrD0RO2tPRM/aE/F3Azoie7yD9YaIv8/aE7Gz9kR2uLPeT98/3P18GIi0/RE5H85fP9z5+PhJZPzw5XT6+vDl1I4Dvh0uuEvi2+E2vCS+Ha7OS+Lb4Z69JL4dLuXL4bvv8SrYkvh2uO4viW+HbrAkvh2KxJL4GnwJPtYR4WMdET7WEeFjHRE+1pHg2+NdtyXxsY4IH+uI8LGOCF+DL8HHOiJ8rCPCxzoifKwjwsc6Enx7vMy3JD7WEeFjHRE+1hHha/Al+FhHhI91RPhYR4SPdUT4WEeCb4+3FZfExzoifKwjwsc6InwNvgQf64jwsY4IH+uI8LGOCB/rSPDt8TrmkvhYR4SPdUT4HOnsiTREOiKOdPZEdrjuvyHipUY9ES816ol4qVFHxJHOgYiXGvVEHDzqidhZeyINkY6InbUn4kWcPRE7a0/EztoTsbN2RPZ4pPMNETtrT8SLOHsiXh7fE2mIdES8PL4nYmftidhZeyJ21p6InbUj4kjnQMTBo56InrUnomftiTR/snZE7Kw9ETtrT8TO2hOxs/ZE7KwdkT0e6XxDRM/aE9Gz9kT0rD2RhkhHxM7aE7Gz9kTsrD0Rh+V7Ig7Ld0T2eKTzDRE9a0/EztoTsbP2RBoiHRE7a0/EztoTsbP2RPSsPRE96z8TeezxLOUbInrWnoidtSdiZ+2JNEQ6InbWnoj3BvREdrizviGiZ+2J6Fk7Ins8avj7P1n3eKfwDRE7a0/EztoTaYh0ROysPRE9a09Ez9oT0bP2RPSsHZE9nsR7Q8TO2hOxs/ZE7Kw9kaYN6Ih411VPRM/aE9Gz9kTsrD0RO2tHZI8H1d4QsbP2ROysPRE7a0+kIdIR0bP2RPSsPRE9a0/EztoTsbN2RPZ4jusNETtrT8S7rnoi3nXVE2mIdET0rD0RO2tPxM7aE7Gz9kTsrB0Rd7AGInbWnoietSeiZ+2JNEQ6InrWnoidtSdiZ+2J2Fl7InbWjsge72D9vg3Y4x2sN0T0rD0RPWtPpPmTtSNiZ+2J2Fl7InbWnoidtSdiZ+2I7PEO1hsietaeiJ61J6Jn7Yk0RDoidtaeiJ21J2Jn7Yl411VPxLuuOiJ7vIP1hoietSdiZ+2J2Fl7Ig2RjoidtSdiZ+2J2Fl7InrWnoietSOyxztYb4joWXsidtaeiJ21J9IQ6YjYWXsi3nXVE/Guq56InrUnomf9ZyLHg0NYIxJb64DE2jogsbcOSBokPRKb64BE3Tog0bcOSBSuAxKNa4/ESawRie11QGJ7HZDYXgckTTnQI/HuqwGJ4nVAonkdkNheByS21x6J41gjEtvrgMT2OiCxvQ5IGiQ9Et3rgET3OiDRvQ5IbK8DEttrj8SZrBGJ7XVA4mVYAxJvwxqQNEh6JLrXAYntdUBiex2Q2F4HJLbXHomDWSMS2+uARPc6ING9DkgaJD0S3euAxPY6ILG9DkhsrwMS22uPZI+ns96UA3u8nfUOie51QKJ7HZA0f7z2SGyvAxLb64DE9jogsb0OSGyvPZI9HtF6h0T3OiDRvQ5IdK8DkgZJj8T2OiCxvQ5IbK8DEi/MGpB4Y1aPZI/ntN4h0b0OSGyvAxLb64CkQdIjsb0OSGyvAxLb64BE9zog0b32SPZ4WOsdEt3rgMT2OiCxvQ5IGiQ9EtvrgMQbswYk3pg1ING9Dkh0rz0SJ7ZGJLbXAYntdUBiex2QNEh6JLbXAYnudUCiex2Q6F4HJLrXDsnRra0Rie11QGJ7HZDYXgckTTnQI/HGrAGJ7nVAonsdkNheByS21x6JW1sjEtvrgMT2OiCxvQ5IGiQ9Et3rgET3OiDRvQ5IbK8DEttrj8StrRGJ7XVA4o1ZAxJvzBqQNEh6JLrXAYntdUBiex2Q2F4HJLbXHolbWyMS2+uARPc6ING9DkgaJD0S3euAxPY6ILG9DkhsrwMS22uPZI+3tt6UA3u8tfUOie51QKJ7HZA0f7z2SGyvAxLb64DE9jogsb0OSGyvPZI93tp6h0T3OiDRvQ5IdK8DkgZJj8T2OiCxvQ5IbK8DEm/MGpB4Y1aPZI+3tt4h0b0OSGyvAxLb64CkQdIjsb0OSGyvAxLb64BE9zog0b32SPZ4a+sdEt3rgMT2OiCxvQ5IGiQ9EtvrgMQbswYk3pg1ING9Dkh0rz0St7ZGJLbXAYntdUBiex2QNEh6JLbXAYnudUCiex2Q6F4HJLrXHolbWyMS2+uAxPY6ILG9DkiacqBH4o1ZAxLd64BE9zogsb0OSGyvHZKTW1sjEtvrgMT2OiCxvQ5IGiQ9Et3rgET3OiDRvQ5IbK8DEttrj8StrRGJ7XVA4o1ZAxJvzBqQNEh6JLrXAYntdUBiex2Q2F4HJLbXHolbWyMS2+uARPc6ING9DkgaJD0S3euAxPY6ILG9DkhsrwMS22uPZI+3tt6UA3u8tfUOie51QKJ7HZA0f7z2SGyvAxLb64DE9jogsb0OSGyvPZI93tp6h0T3OiDRvQ5IdK8DkgZJj8T2OiCxvQ5IbK8DEm/MGpB4Y1aPZI+3tt4h0b0OSGyvAxLb64CkQdIjsb0OSGyvAxLb64BE9zog0b32SPZ4a+sdEt3rgMT2OiCxvQ5IGiQ9EtvrgMQbswYk3pg1ING9Dkh0rz0St7ZGJLbXAYntdUBiex2QNEh6JLbXAYnudUCiex2Q6F4HJLrXHolbWyMS2+uAxPY6ILG9DkiacqBH4o1ZAxLd64BE9zogsb0OSGyvPRK3tkYkttcBie11QGJ7HZA0SHokutcBie51QKJ7HZDYXgckttcOydmtrRGJ7XVA4o1ZAxJvzBqQNEh6JLrXAYntdUBiex2Q2F4HJLbXHolbWyMS2+uARPc6ING9DkgaJD0S3euAxPY6ILG9DkhsrwMS22uPZI+3tt6UA3u8tfUOie51QKJ7HZA0f7z2SGyvAxLb64DE9jogsb0OSGyvPZI93tp6h0T3OiDRvQ5IdK8DkgZJj8T2OiCxvQ5IbK8DEm/MGpB4Y1aPZI+3tt4h0b0OSGyvAxLb64CkQdIjsb0OSGyvAxLb64BE9zog0b32SPZ4a+sdEt3rgMT2OiCxvQ5IGiQ9EtvrgMQbswYk3pg1ING9Dkhsrz0St7ZGJLbXAYntdUBiex2QNEh6JN45MCCxvQ5IbK8DEt3rgMT22iNxa2tEYnsdkNheByS21wFJ8xDukdheByS21wGJ7XVAYnsdkNheeyRubY1IbK8DEtvrgMT2OiBpkPRI/M2BAYm/9zog8fdeByS21wHJDrfX++n7h7ufDwOSPd7aOh/OXz/c+fj4iWT88OV0+vrw5dSOI78drrqL8tvhXrwovx0u0Yvya/hF/Ha4ni/Kb4e7/KL8drj4L8pvh5awKL8dKsWC/Noer6Utyo9/ZPz4R8aPf2T8Gn4RP/6R8eMfGT/+kfHjHxk//hHx2+O9u0X58Y+MH//I+PGPjF/DL+LHPzJ+/CPjxz8yfvwj48c/In57vFi4KD/+kfHjHxk//pHxa/hF/PhHxo9/ZPz4R8aPf2T8+EfEb483Jxflxz8yfvwj48c/Mn4Nv4gf/8j48Y+MH//I+PGPjJ9DoD0Sh0BHJA6BDkh2uPi/Q+KFSAOSBkmPxAuRBiReiDQg8UKkAYlTSgMS22uPZI+HQN8hsb0OSLzOc0Biex2QNEh6JLbXAYntdUBiex2QeJ3ngMTL6HskDoGOSLyMfkBiex2Q2F4HJA2SHontdUDilNKAxCmlAYnudUCie+2ROAQ6IrG9DkhsrwMS2+uApEHSI7G9Dkh0rwMS3euARPc6ING99kgcAh2R2F4HJLbXAYntdUDSlAM9EmfsByS61wGJ7nVAYnsdkNheeyR7PAT6DontdUBiex2Q2F4HJA2SHonudUCiex2Q6F4HJLbXAYnttUNy2eMZyXdIbK8DEu8cGJDscHt9h6RB0iPRvQ5IbK8DEtvrgMT2OiCxvfZI9niE8B0S2+uARPc6ING9DkgaJD0S3euAxPY6ILG9DkhsrwMS22uPZI8n7N6UA3u8SvcOie51QKJ7HZA0f7z2SGyvAxLb64DE9jogsb0OSGyvPZI9HkB7h0T3OiDRvQ5IdK8DkgZJj8T2OiCxvQ5IbK8DEm/MGpB4Y1aPxK2tEYnudUBiex2Q2F4HJA2SHontdUBiex2Q2F4HJLrXAYnutUeyx1tb75DoXgckttcBie11QNIg6ZHYXgck3pg1IPHGrAGJ7nVAonvtkbi1NSKxvQ5IbK8DEtvrgKRB0iOxvQ5IdK8DEt3rgET3OiDRvfZI3NoakdheByS21wGJ7XVA0pQDPRJvzBqQ6F4HJLrXAYntdUBie+2RuLU1IrG9DkhsrwMS2+uApEHSI9G9Dkh0rwMS3euAxPY6ILG99kjc2hqR2F4HJN6YNSDxxqwBSYOkR6J7HZDYXgckttcBie11QGJ77ZBc3doakdheByS61wGJ7nVA0iDpkeheByS21wGJ7XVAYnsdkNheeyR7vLX1+3LgusdbW++Q6F4HJLrXAUnzx2uPxPY6ILG9DkhsrwMS2+uAxPbaI9njra13SHSvAxLd64BE9zogaZD0SGyvAxLb64DE9jog8casAYk3ZvVI9nhr6x0S3euAxPY6ILG9DkgaJD0S2+uAxPY6ILG9Dkh0rwMS3WuPZI+3tt4h0b0OSGyvAxLb64CkQdIjsb0OSLwxa0DijVkDEt3rgET32iNxa2tEYnsdkNheByS21wFJg6RHYnsdkOheByS61wGJ7nVAonvtkbi1NSKxvQ5IbK8DEtvrgKQpB3ok3pg1ING9Dkh0rwMS2+uAxPbaI3Fra0Riex2Q2F4HJLbXAUmDpEeiex2Q6F4HJLrXAYntdUBie+2RuLU1IrG9Dki8MWtA4o1ZA5IGSY9E9zogsb0OSGyvAxLb64DE9tojcWtrRGJ7HZDoXgckutcBSYOkR6J7HZDYXgckttcBie11QGJ77ZDc9nhr6/flwG2Pt7beIdG9Dkh0rwOS5o/XHontdUBiex2Q2F4HJLbXAYnttUeyx1tb75DoXgckutcBie51QNIg6ZHYXgckttcBie11QOKNWQMSb8zqkezx1tY7JLrXAYntdUBiex2QNEh6JLbXAYntdUBiex2Q6F4HJLrXHskeb229Q6J7HZDYXgckttcBSYOkR2J7HZB4Y9aAxBuzBiS61wGJ7rVH4tbWiMT2OiCxvQ5IbK8DkgZJj8T2OiDRvQ5IdK8DEt3rgET32iNxa2tEYnsdkNheByS21wFJUw70SLwxa0Ciex2Q6F4HJLbXAYnttUfi1taIxPY6ILG9DkhsrwOSBkmPRPc6ING9Dkh0rwMS2+uAxPbaI3Fra0Riex2QeGPWgMQbswYkDZIeie51QGJ7HZDYXgckttcBie21R+LW1ojE9jog0b0OSHSvA5IGSY9E9zogsb0OSGyvAxLb64DE9toj2eOtrTflwB5vbb1DonsdkOheByTNH689EtvrgMT2OiCxvQ5IbK8DEttrh+S+x1tb75DoXgckutcBie51QNIg6ZHYXgckttcBie11QOKNWQMSb8zqkezx1tY7JLrXAYntdUBiex2QNEh6JLbXAYntdUBiex2Q6F4HJLrXHskeb229Q6J7HZDYXgckttcBSYOkR2J7HZB4Y9aAxBuzBiS61wGJ7rVH4tbWiMT2OiCxvQ5IbK8DkgZJj8T2OiDRvQ5IdK8DEt3rgET32iNxa2tEYnsdkNheByS21wFJUw70SLwxa0Ciex2Q6F4HJLbXAYnttUfi1taIxPY6ILG9DkhsrwOSBkmPRPc6ING9Dkh0rwMS2+uAxPbaI3Fra0Riex2QeGPWgMQbswYkDZIeie51QGJ7HZDYXgckttcBie21R+LW1ojE9jog0b0OSHSvA5IGSY9E9zogsb0OSGyvAxLb64DE9toj2eOtrTflwB5vbb1DonsdkOheByTNH689EtvrgMT2OiCxvQ5IbK8DEttrj2SPt7beIdG9Dkh0rwMS3euApEHSI7G9DkhsrwMS2+uAxBuzBiTemNUheezx1tY7JLrXAYntdUBiex2QNEh6JLbXAYntdUBiex2Q6F4HJLrXHskeb229Q6J7HZDYXgckttcBSYOkR2J7HZB4Y9aAxBuzBiS61wGJ7rVH4tbWiMT2OiCxvQ5IbK8DkgZJj8T2OiDRvQ5IdK8DEt3rgET32iNxa2tEYnsdkNheByS21wFJUw70SLwxa0Ciex2Q6F4HJLbXAYnttUfi1taIxPY6ILG9DkhsrwOSBkmPRPc6ING9Dkh0rwMS2+uAxPbaI3Fra0Riex2QeGPWgMQbswYkDZIeie11QGJ7HZDYXgckttcBie21R+LW1ojEOwcGJLbXAYntdUDS/FnSI7G9DkhsrwMS2+uAxPY6ILG99kj2eGvrzUN4j7e23iGxvQ5IbK8DkuaP1x6J7XVAYnsdkNheByS21wGJ7bVHssdbW++Q+JsDAxJ/73VA4u+9DkgaJD2SHW6v99P3D3c/H0YkO9xez4fz1w93Pj5+Ihk/fDmdvj58ObXjyG+Hq+6i/Ha4Fy/Kb4dL9JL89ngfbFF+O1zPF+W3w11+UX47XPwX5dfwi/jtUCkW5cc/Mn78I+PHPzJ+/CPgdzrs8cLbovz4R8aPf2T8+EfGr+EX8eMfGT/+kfHjHxk//pHx4x8Rvz3e6FuUH//I+PGPjB//yPg1/CJ+/CPjxz8yfvwj48c/Mn78I+K3xyuLi/LjHxk//pHx4x8Zv4ZfxI9/ZPz4R8aPf2T8+EfGj39E/PZ4J3NRfvwj48c/Mn78I+PX8Iv4OQQ6IHEIdEDiEOiAZIeL/zskXojUI3EIdETihUgDEi9EGpB4IdKApHni9EhsrwMS2+uAxPY6IPE6zwGJ7bVH4hDoiMT2OiCxvQ5IbK8DkgZJj8TL6AckXkY/IPEy+gGJ7XVAYnvtkTgEOiKxvQ5InFIakDilNCBpkPRIdK8DEtvrgMT2OiCxvQ5IbK89kj0eAn2HxPY6ING9Dkh0rwOSBkmPRPc6ILG9DkhsrwMS2+uAxPbaI9njIdA35cAeD4G+Q6J7HZDoXgckzR+vPRLb64DE9jogsb0OSGyvAxLba49kj0c13yHRvQ5IdK8DEt3rgKRB0iOxvQ5IbK8DEtvrgMQ7BwYkO9xef4/kuMeTjO+Q6F4HJLbXAYntdUDSIOmR2F4HJLbXAYntdUCiex2Q6F57JHs86PcOie51QGJ7HZDYXgckDZIeie11QOKNWQMSb8wakOheByS61x7JHs/BvfnjdY8X3t4hsb0OSGyvA5IGSY/E9jog0b0OSHSvAxLd64BE99oj2eMxsXdIbK8DEtvrgMT2OiBpyoEeiTdmDUh0rwMS3euAxPY6ILG99kjc2hqR2F4HJLbXAYntdUDSIOmR6F4HJLrXAYnudUBiex2Q2F57JG5tjUhsrwMSb8wakHhj1oCkQdIj0b0OSGyvAxLb64DE9jogsb32SNzaGpHYXgckutcBie51QNIg6ZHoXgckttcBie11QGJ7HZDYXnske7y19aYc2OOtrXdIdK8DEt3rgKT547VHYnsdkNheByS21wGJ7XVAYnvtkezx1tY7JLrXAYnudUCiex2QNEh6JLbXAYntdUBiex2QeGPWgMQbs3oke7y19Q6J7nVAYnsdkNheByQNkh6J7XVAYnsdkNheByS61wGJ7rVDctrjra13SHSvAxLb64DE9jogaZD0SGyvAxJvzBqQeGPWgET3OiDRvfZI3NoakdheByS21wGJ7XVA0iDpkdheByS61wGJ7nVAonsdkOheeyRubY1IbK8DEtvrgMT2OiBpyoEeiTdmDUh0rwMS3euAxPY6ILG99kjc2hqR2F4HJLbXAYntdUDSIOmR6F4HJLrXAYnudUBiex2Q2F57JG5tjUhsrwMSb8wakHhj1oCkQdIj0b0OSGyvAxLb64DE9jogsb32SNzaGpHYXgckutcBie51QNIg6ZHoXgckttcBie11QGJ7HZDYXnske7y19aYc2OOtrXdIdK8DEt3rgKT547VHYnsdkNheByS21wGJ7XVAYnvtkezx1tY7JLrXAYnudUCiex2QNEh6JLbXAYntdUBiex2QeGPWgMQbs3oke7y19Q6J7nVAYnsdkNheByQNkh6J7XVAYnsdkNheByS61wGJ7rVHssdbW++Q6F4HJLbXAYntdUDSIOmR2F4HJN6YNSDxxqwBie51QKJ77ZCc3doakdheByS21wGJ7XVA0iDpkdheByS61wGJ7nVAonsdkOheeyRubY1IbK8DEtvrgMT2OiBpyoEeiTdmDUh0rwMS3euAxPY6ILG99kjc2hqR2F4HJLbXAYntdUDSIOmR6F4HJLrXAYnudUBiex2Q2F57JG5tjUhsrwMSb8wakHhj1oCkQdIj0b0OSGyvAxLb64DE9jogsb32SNzaGpHYXgckutcBie51QNIg6ZHoXgckttcBie11QGJ7HZDYXnske7y19aYc2OOtrXdIdK8DEt3rgKT547VHYnsdkNheByS21wGJ7XVAYnvtkezx1tY7JLrXAYnudUCiex2QNEh6JLbXAYntdUBiex2QeGPWgMQbs3oke7y19Q6J7nVAYnsdkNheByQNkh6J7XVAYnsdkNheByS61wGJ7rVHssdbW++Q6F4HJLbXAYntdUDSIOmR2F4HJN6YNSDxxqwBie51QKJ77ZG4tTUisb0OSGyvAxLb64CkQdIjsb0OSHSvAxLd64BE9zog0b12SJpbWyMS2+uAxPY6ILG9DkiacqBH4o1ZAxLd64BE9zogsb0OSGyvPRK3tkYkttcBie11QGJ7HZA0SHokutcBie51QKJ7HZDYXgckttceiVtbIxLb64DEG7MGJN6YNSBpkPRIdK8DEtvrgMT2OiCxvQ5IbK89Ere2RiS21wGJ7nVAonsdkDRIeiS61wGJ7XVAYnsdkNheByS21x7JHm9tvSkH9nhr6x0S3euARPc6IGn+eO2R2F4HJLbXAYntdUBiex2Q2F57JHu8tfUOie51QKJ7HZDoXgckDZIeie11QGJ7HZDYXgck3pg1IPHGrB7JHm9tvUOiex2Q2F4HJLbXAUmDpEdiex2Q2F4HJLbXAYnudUCie+2R7PHW1jskutcBie11QGJ7HZA0SHokttcBiTdmDUi8MWtAonsdkOheeyRubY1IbK8DEtvrgMT2OiBpkPRIbK8DEt3rgET3OiDRvQ5IdK89Ere2RiS21wGJ7XVAYnsdkDTlQI/EG7MGJLrXAYnudUBiex2Q2F47JBe3tkYkttcBie11QGJ7HZA0SHokutcBie51QKJ7HZDYXgckttceiVtbIxLb64DEG7MGJN6YNSBpkPRIdK8DEtvrgMT2OiCxvQ5IbK89Ere2RiS21wGJ7nVAonsdkDRIeiS61wGJ7XVAYnsdkNheByS21x7JHm9tvSkH9nhr6x0S3euARPc6IGn+eO2R2F4HJLbXAYntdUBiex2Q2F57JHu8tfUOie51QKJ7HZDoXgckDZIeie11QGJ7HZDYXgck3pg1IPHGrB7JHm9tvUNiex2Q2F4HJLbXAUmDpEdiex2Q2F4HJN45MCCxvQ5IbK89kj3e2nrzZ8keb229Q2J7HZDYXgckDZIeie11QOKNWQMS2+uAxPY6ILG99kjc2hqR2F4HJLbXAYntdUDSIOmR2F4HJLrXAYm/OTAg8fdeByT+3muPxK2tEckOt9f76fuHu58PI5LC2+uxHb6QnE5vPnx7fP0m7r9+tK+PHg9Pf8On7zE5n46Hf/r0H1AK769/G5Tz7fz1O26Hw5tPt8Pp65duh9uPsXr8g2BD8A3B4/nxxeL4OI4EC2/HfxvBXyS+Cbb2jmC7f9c3l+Ofv41Te/ZL39rxTxi3nx/+A3fhzXtG3Pfr5euXvj/DXXir3yLuwsawRdyFbWSDuCvfZdsi7sIWtUXcezS0D+Leo/t9EHeDe03cG7HKx/nrN/G4nt4BfHwhubQfxdrtyUcv7fujPzq44+X2P2GUlW/3zYb63VRvxCZnQL0Rk5wB9UYssj7qa+XbiFtDvRF7nAH1RsxxBtQbscYZUDeo10LNFn+H+nr4+msY1/PlDer791/ZuN///LL3+Ot/9wdpsrgU6cf3X6R5/PwX4N//d+Nv4Xz4+sq+nY+PP/8FuD77N+vXT//1Gz61488P/5EhC50/Q3o7f4a8efoMK597leG/mCHTnz9DFcL8Geom5s+wyXD6DLUp82eop5k/Qz3N/BnqaebPUE8zfYaVD5vL8F/MUE8zf4Z6mvkz1NPMn2GT4fQZ6mnmz1BPM3+Gepr5M9TTzJ+hnmb6DM96mvkz1NPMn6GeZv4M9TTzZ9hkOH2Gepr5M9TTzJ+hnmb+DPU082eop5k+w6anmT9DPc38Gepp5s9QTzN/hk2G02eop5k/Qz3N/BnqaebPUE8zf4Z6mukzvOhp5s9QTzN/hnqa+TPU08yfYZPh9BnqaebPUE/zkQx/LZNfgK/X2xiL6qVkLNqUkrEoSCrGctV5fCSW2+H0Dfj4JBY1RslYNBMlY1E2lIyliaViLCqBkpsYyy8ZC8svGQvLLxkLy6/4yL+x/JKxsPySsbD8krGw/JKxNLFUjIXll4yF5ZeMheWXjIXll4yF5VeM5c7yS8bC8kvGwvJLxsLyPxLLm2L/3sRSMRaWXzIWll8yFpZf8pHP8kvGwvIrxvJg+SVjYfklY2H5JWNh+SVjaWKpGAvLLxkLyy8ZC8svGQvLLxkLyy8Yy+3A8kvGwvI/Esvvi/1foYmlYiwsv2QsTSwVY2H5JR/5LL9kLCy/ZCwsv2QsLL9iLEeWXzIWll8yFpZfMhaWXzKWJpaKsbD8krGw/JKxsPySsbD8krGw/I/E8qbYP7H8krGw/JKxsPySsbD8io/8UxNLxVhYfslYWH7JWFh+yVhYfslYWH7FWM4sv2QsLL9kLCy/ZCwsv2QsTSwVY2H5JWNh+SVjYfkfieVNsX9m+SVjYfkVY2ksv2QsLL/iI7+x/JKxsPySsTSxVIyF5ZeMheWXjIXll4yF5ZeMheVXjOXC8kvGwvJLxsLyS8bC8kvG0sRSMRaW/5FY3hT7F5ZfMhaWXzIWll8yFpZf8ZF/ZfklY2H5JWNh+SVjYfklY2liqRgLyy8ZC8svGQvLLxkLyy8ZC8uvGMuN5ZeMheWXjIXll4yF5X8kljfF/q2JpWIsLL9kLCy/ZCwsv+Qjn+WXjIXlV4zlzvJLxsLyS8bC8kvGwvJLxtLEUjEWll8yFpZfMhaWXzIWll8yFpZfMZYHyy8ZC8v/SCxviv0Hyy8ZC8svGUsTS8VYWH7JRz7LLxkLyy8ZC8svGQvLLxjL/cDyS8bC8kvGwvJLxsLyS8bSxFIxFpZfMhaWXzIWll8yFpZfMhaW/5FYfl/s348sv2QsLL9kLCy/ZCwsv+Ij/9jEUjEWll8yFpZfMhaWXzIWll8yFpZfMZYTyy8ZC8svGQvLLxkLyy8ZSxNLxVhYfslYWH7JWFj+R2J5U+yfWH7JWFh+xVjOLL9kLCy/4iP/zPJLxsLyS8bSxFIxFpZfMhaWXzIWll8yFpZfMhaWXzGWxvJLxsLyS8bC8kvGwvJLxtLEUjEWlv+RWN4U+43ll4yF5ZeMheWXjIXlV3zkX1h+yVhYfslYWH7JWFh+yViaWCrGwvJLxsLyS8bC8kvGwvJLxsLyK8ZyZfklY2H5JWNh+SVjYfkfieVNsX9tYqkYC8svGQvLLxkLyy/5yGf5JWNh+RVjubH8krGw/JKxsPySsbD8krE0sVSMheWXjIXll4yF5ZeMheWXjIXlV4zlzvJLxsLyPxLLm2L/zvJLxsLyS8bSxFIxFpZf8pHP8kvGwvJLxsLyS8bC8ivG8mD5JWNh+SVjYfklY2H5JWNpYqkYC8svGQvLLxkLyy8ZC8svGQvL/0gsvy/2HweWXzIWll8yFpZfMhaWX/CR/zg0sVSMheWXjIXll4yF5ZeMheWXjIXlV4zlyPJLxsLyS8bC8kvGwvJLxtLEUjEWll8yFpZfMhaW/5FY3hT7R5ZfMhaWXzGWE8svGQvLr/jIP7H8krGw/JKxNLFUjIXll4yF5ZeMheWXjIXll4yF5VeM5czyS8bC8kvGwvJLxsLyS8bSxFIxFpb/kVjeFPtnll8yFpZfMhaWXzIWll/xkd9YfslYWH7JWFh+yVhYfslYmlgqxsLyS8bC8kvGwvJLxsLyS8bC8ivGcmH5JWNh+SVjYfklY2H5H4nlTbF/aWKpGAvLLxkLyy8ZC8sv+chn+SVjYfkVY7my/JKxsPySsbD8krGw/JKxNLFUjIXll4yF5ZeMheWXjIXll4yF5VeM5cbyS8bC8j8Sy5ti/8byS8bC8kvG0sRSMRaWX/KRz/JLxsLyS8bC8kvGwvIrxnJn+SVjYfklY2H5JWNh+SVjaWKpGAvLLxkLyy8ZC8svGQvLLxkLy/9ILG+K/QfLLxkLyy8ZC8svGQvLr/jIfzSxVIyF5ZeMheWXjIXll4yF5ZeMheXXi+V8OLD8krGw/JKxsPySsbD8krE0sVSMheWXjIXll4yF5X8klt8W+79iYfklY2H5FWM5svySsbD8io/8I8svGQvLLxlLE0vFWFh+yVhYfslYWH7JWFh+yVhYfsVYTiy/ZCwsv2QsLL9kLCy/ZCxNLBVjYfkfieVNsX9i+SVjYfklY2H5JWNh+RUf+WeWXzIWll8yFpZfMhaWXzKWJpaKsbD8krGw/JKxsPySsbD8krGw/IqxNJZfMhaWXzIWll8yFpb/kVjeFPutiaViLCy/ZCwsv2QsLL/kI5/ll4yF5VeM5cLyS8bC8kvGwvJLxsLyS8bSxFIxFpZfMhaWXzIWll8yFpZfMhaWXzGWK8svGQvL/0gsb4r9K8svGQvLLxlLE0vFWFh+yUc+yy8ZC8svGQvLLxkLy68Yy43ll4yF5ZeMheWXjIXll4yliaViLCy/ZCwsv2QsLL9kLCy/ZCws/yOxvCn27yy/ZCwsv2QsLL9kLCy/4iP/3sRSMRaWXzIWll8yFpZfMhaWXzIWll8xlgfLLxkLyy8ZC8svGQvLLxlLE0vFWFh+yVhYfslYWP5HYnlT7D9YfslYWH7BWH79vsVSMRaWX/CRfzyw/JKxsPySsTSxVIyF5ZeMheWXjIXll4yF5ZeMheVXjOXI8kvGwvJLxsLyS8bC8kvG0sRSMRaW/5FY3hT7R5ZfMhaWXzIWll8yFpZf8ZF/YvklY2H5JWNh+SVjYfklY2liqRgLyy8ZC8svGQvLLxkLyy8ZC8uvGMuZ5ZeMheWXjIXll4yF5X8kljfF/rmJpWIsLL9kLCy/ZCwsv+Qjn+WXjIXlV4ylsfySsbD8krGw/JKxsPySsTSxVIyF5ZeMheWXjIXll4yF5ZeMheVXjOXC8kvGwvI/EsubYv/C8kvGwvJLxtLEUjEWll/ykc/yS8bC8kvGwvJLxsLyK8ZyZfklY2H5JWNh+SVjYfklY2liqRgLyy8ZC8svGQvLLxkLyy8ZC8v/SCxviv0byy8ZC8svGQvLr/hsubH8krE0sVSMheWXjIXll4yF5ZeMheWXXJBZfsVY7iy/ZCwsv+Kz5c7yS8bC8kvG0sRSMRaWXzIWll8yFpZfckFm+SVjYfkVY3mw/JKxsPyKj/wHyy8ZC8svGUsTS8VYWH7JWFh+yVhYfslYWH7JWFh+wVhOB5ZfMhaWXzIWlv+RWO6nb8D382GMheUvFcuxnb/qx2O7XN8Ecz2fjt+/dGs/g3mG+PqVxy/af/7Sp2e/8vnXxvD14fPp8vPDf0TeRL63yLUTu4tc87G7yLUqm4u8tS/I53a5j5FrbHYXuTZoe5HfvgNpj9PvP3x63L9/5cPh8ObD7fJF7tRu999/+HL4pnw+DqZ4VHeZu0/MnT7P3P3rc/f4+pVPl9MhmjuFpbn7xNxpZM3dvzx3t/MXjtPtdnnz4UP7+gF/1UMtGtJmSA1p9SHVehvSv2lIb19N7C8vPkVDqqc3pOWH1DcLux7S8+HUvof0/OZXPp3v30PaDuefH/5jmHxnYZj+5WFasEj0xYm5+8DcnXxxYu4+MXe+ODF3//rcLVZgn3xxYu4+MXe+ODF3//LcXb9n6XT9OUz/kNRTM0yGaalh8kWEYVpsmHxhYJgWGybFvmH6l4fpr3z7dLx/Z318HMdvAU6+BTB5n5k83wOYvL9l8hb8u0tnXxoY0vJD6hsGQ1p+SH0dYUj/piFd7C/YnX13YUjLD2kzpLse0uP3K97Ox3No4WffiRimxYbJdyKG6V8dpiXdwtcn5u4Tc+fLE3P3ibnz1Ym5+9fnbjHzbL4NMXefmDtfcGxu7i6X89eHL9c3/4HNX/uPs9/8d6/NFxGG6V8epuX+O7DmuwVz94m5a+bO3H1g7nyzYO7+9blb7L8/bL6EMHefmDtfQpi7f3nu3vwHQc03C4ZpsWHydYFhWmqYLr4DMEyLDZNi3zD9y8O05H99ePEtgMn7zOT5HsDk/S2Tt+DfMLo0Q2pIqw+pbxgMafkh9XWEIf2bhnSxv2B38d2FIS0/pL4T2fWQfuoF7hdfn5i7D8zd1Tct5u5fn7vF/iLL1Zcy5u4Tc+crGXP3L8/dh+qcq29vDGn5IW2G1JD+PUO6WJ1z9e2NIS0/pL692feQLvl6tKtvWQzTYsPk2xDD9K8O05Ju4dsQc/eBubv5NsTcfWLufBti7v71uVvMPG++DTF3n5g7X3AsNnf3b9LH++n4T3P3B+uG9Wqs1c3rsdaarsdaqfi3sD62J6x1buux1jOtxvquW1mPtT5hPdYcerU95M4b12PdsF6NNW9cjzVvXI81b1yPNW9cjzVvXI31gzeux5o3rseaN67Hmjcuxvo333P/wbphvRpr3rgea964HmveuB5r3vg71rf29fu9Hw9vWF8PX39B6nr68Xe6fv12/yDNGtchfT5wxrVIM8a1SPPFtUizxbVIN6RXIs0U1yLNE9cizRLXIs0R1yLNEVcifeSIa5HmiGuR5ohrkeaIa5FuSK9EmiOuRZojrkWaI65FmiOuRZojrkT6xBHXIs0R1yLNEdcizRHXIt2QXok0R1yLNEdcizRHXIs0R1yLNEdcifSZI65FmiOuRZojrkWaI65FuiG9EmmOuBZpjrgWaY64FmmOuBZpjrgS6cYR1yLNEdcizRHXIs0R1yLdkF6JNEdcizRHXIs0R1yLNEdcizRHXIn0hSOuRZojrkWaI65FmiOuRbohvRJpjrgWaY64FmmOuBZpjvg70vfH15nox9t3yJ6uX7/s6QeHp4et2zeGy/H25qOH69drbNvxeP354T8CpJ5zB3hltJMHSJQnD5B/Tx4grZ88wCbAuQNUQkweoG5j8gBVJpMHqImZPEBNzNwB3jQxkweoiZk8QE3M5AFqYiYPsAlw7gA1MZMHqImZPEBNzOQBamImD1ATM3eAd03M5AFqYiYPUBMzeYCamMkDbAKcO0BNzOQBamImD1ATM3mAmpjJA9TEzB3gQxMzeYCamMkD1MRMHqAmZvIAmwDnDlATM3mAmpjJA9TETB6gJmbyADUxUwfYDpqYyQPUxEweoCZm8gA1MZMH2AQ4d4CamMkD1MRMHqAmZvIANTGTB6iJmTvAoyZm8gA1MZMHqImZPEBNzOQBNgHOHaAmZvIANTGTB6iJmTxATczkAWpi5g7wpImZPEBNzOQBamImD1ATUzzA0/3rl22/4vr9h0/H49fv93RsbUy7SXtHaet49pS2QmhPaWuP9pS2qmlPaeuldpT2WYm1p7Q1XntKWz22p7R1aXtKu0l7R2nr0vaUti5tT2nr0vaUti5tT2nr0naUdtOl7SltXdqe0tal7SltXdqe0m7S3lHaurQ9pa1L21PaurQ9pa1L21PaurQdpX3Rpe0pbV3antLWpe0pbV3antJu0t5R2rq0PaWtS6ud9uV0//rJLufTZQxQPTZ5gBqvyQNUYs0d4FUvNXmAqqbJA9QeTR6gQmjyAJsA5w5QbTN5gJqYyQPUxEweoCZm8gA1MXMHeNPETB6gJmbyADUxkweoiZk8wCbAuQPUxEweoCZm8gA1MZMHqImZPEBNzNwB3jUxkweoiZk8QE3M5AFqYiYPsAlw7gA1MZMHqImZPEBNzOQBamImD1ATM3eAD03M5AFqYiYPUBMzeYCamMkDbAKcO0BNzOQBamImD1ATM3mAmpjJA9TETB3g5aCJmTxATczkAWpiJg9QEzN5gE2AcweoiZk8QE3M5AFqYiYPUBMzeYCamLkDPGpiJg9QEzN5gJqYyQPUxEweYBPg3AFqYiYPUBMzeYCamMkD1MRMHqAmZu4AT5qY4gFebt+fvTweY4CamMkD1MRMHqAmZvIAmwDnDlATM3mAmpjJA9TETB6gJmbyADUxcwd41sRMHqAmZvIANTGTB6iJmTzAJsC5A9TETB6gJmbyADUxkweoiZk8QE3M3AE2TczkAWpiJg9QEzN5gJqYyQNsApw7QE3M5AFqYiYPUBMzeYCamMkD1MTMHeBFEzN5gJqYyQPUxEweoCZm8gCbAOcOUBMzeYCamMkD1MRMHqAmZvIANTFzB3jVxEweoCZm8gA1MZMHqImZPMAmwLkD1MRMHqAmZvIANTGTB6iJmTxATczcAd40MZMHqImZPEBNzOQBamImD7AJcO4ANTGTB6iJmTxATczkAWpiJg9QEzN3gHdNzOQBamImD1ATM3mAmpjJA2wCLB3g9dSO//js9Xw4jwFqYiYPUBMzeYCamMkD1MRMHqAmZu4AH5qYyQPUxEweoCZm8gA1MZMH2AQ4d4CamMkD1MRMHqAmZvIANTGTB6iJmTrA60ETM3mAmpjJA9TETB6gJmbyAJsA5w5QEzN5gJqYyQPUxEweoCZm8gA1MXMHeNTETB6gJmbyADUxkweoiZk8wCbAuQPUxEweoCZm8gA1MZMHqImZPEBNzNwBnjQxkweoiZk8QE3M5AFqYiYPsAlw7gA1McUD/PWJrwAvrY0BamImD1ATM3mAmpjJA9TEzB3gWRMzeYCamMkD1MRMHqAmZvIAmwDnDlATM3mAmpjJA9TETB6gJmbyADUxcwfYNDGTB6iJmTxATczkAWpiJg+wCXDuADUxkweoiZk8QE3M5AFqYiYPUBMzd4AXTczkAWpiJg9QEzN5gJqYyQNsApw7QE3M5AFqYiYPUBMzeYCamMkD1MTMHeBVEzN5gJqYyQPUxEweoCZm8gCbAOcOUBMzeYCamMkD1MRMHqAmZvIANTFzB3jTxEweoCZm8gA1MZMHqImZPMAmwLkD1MRMHqAmZvIANTGTB6iJmTxATczcAd41MZMHqIkpHuD99vXLXh+H6xigJmbyADUxkwfYBFg7wMfp8B3g5fD7D9/P569f+H6+XN98uH0hu1/Hm0x3DY/BeDoYmiOD8XQwNFIG4+lgaLoMxtPB0KAZjGeD8dDMGYyng6HxMxhPB0OTaDCeDoaG0mA8HYxmMAzGs8HQfBqMp4Oh+TQYTwdD82kwng6G5tNgPB0MzafBeDIYt4Pm02A8HQzNp8F4OhiaT4PxdDA0nwbj6WA0g2Ewng2G5tNgPB0MzafBeDoYmk+D8XQwNJ8G4+lgaD4NxrPBOGo+DcbTwdB8Goyng6H5NBhPB0PzaTCeDkYzGAbj2WBoPg3G08HQfBqMp4Oh+TQYTwdD82kwng6G5tNgPBuMk+bTYDwdDM2nwXg6GJpPg/F0MDSfBuPpYDSDYTCeDYbm02A8HQzNp8F4OhiaT4PxdDA0nwbj6WBoPg3Gs8E4az4NxtPB0HwajKeDofk0GE8HQ/NpMJ4ORjMYBuPZYGg+DcbTwdB8Goyng6H5NBhPB0PzaTCeDobm02A8G4ym+TQYTwdD82kwng6G5tNgPB0MzafBeDoYzWAYjGeDofk0GE8HQ/NpMJ4OhubTYDwdDM2nwXg6GJpPg/FsMC6aT4PxdDA0nwbj6WBoPg3G08HQfBqMp4PRDIbBeDYYmk+D8XQwNJ8G4+lgaD4NxtPB0HwajKeDofk0GM8G46r5NBhPB0PzaTCeDobm02A8HQzNp8F4OhjNYBiMZ4Oh+TQYTwdD82kwng6G5tNgPB0MzafBeDoYmk+D8WwwbppPg/F0MDSfBuPpYGg+DcbTwdB8Goyng9EMhsF4NhiaT4PxdDA0nwbj6WBoPg3G08HQfBqMp4Oh+TQYzwbjrvk0GE8HQ/NpMJ4OhubTYDwdDM2nwXg6GM1gGIxng6H5NBhPB0PzaTCeDobm02A8HQzNp8F4OhiaT4PxbDAemk+D8XQwNJ8G4+lgaD4NxtPB0HxuajCO5+/BuLYx7SbtHaWto9xT2orHPaWtTdxT2irCPaWt99tP2veDMm9PaWvo9pS22m1PaevStpR2u3wXp7/+Gb//8Olx+wr59Hj8GfLp+uTDl8P3HF0O5+PPD/8xR80cmaMF5kj/Z46WmCPNojlaYo50luZoiTnShpqjJeZIz2qOFpijowbXHC0xR7phc7TEHGmdzdESc6TPNkdLzFEzR+ZogTnSZ5ujJeZIn22OlpgjfbY5WmKO9NnmaIk50mebowXm6KTPNkdLzJE+2xwtMUf6bHO0xBzps83REnPUzJE5WmCO9NnmaIk50meboyXmSJ9tjpaYI322OVpijvTZ5miBOTrrs83REnOkzzZHS8yRPtscLTFH+mxztMQcNXNkjhaYI322OVpijvTZ5miJOdJnm6Ml5kifbY6WmCN9tjlaYI6aPtscLTFH+mxztMQc6bPN0RJzpM82R0vMUTNH5miBOdJnm6Ml5kifbY6WmCN9tjlaYo702eZoiTnSZ5ujBeboos82R0vMkT7bHC0xR/psc7TEHOmzzdESc9TMkTlaYI702eZoiTnSZ5ujJeZIn22OlpgjfbY5WmKOdthn3y5fv+7tfvn9HLXz4QtfOx8fb1j/+l1+sT61kfV1h53vx1jvsBf9GOsddocfY73Dfu1jrBvWq7HeYU/zMdY77DI+xnqHvv8x1jt04o+x5o2rsb7xxvVY88b1WPPG9VjzxvVYN6xXY80b12PNG9djzRvXY80b12PNG1djfeeN67Hmjeux5o3rseaN67FuWK/Gmjeux5o3rseaN67Hmjeux5o3rsb6wRvXY80b12PNG9djzRvXY92wXo01b1yPNW9cjzVvXI81b1yPNW9ci/XjwBvXY80b12PNG9djzRvXY92wXo01b1yPNW9cjzVvXI81b/wt6+vl+AXier2N+Khggu/I7iJ8hC3Cx8F+i+92OH2DOD7BR6sifA2+BB/5ifDxmQgfRYmevKwjwsc6Enwn1hHhYx3Jo+PEOiJ8rCPC1+BL8LGOCB/riPCxjggf64jwsY4E35l1RPhYR4SPdUT4WEeEr8GX4GMdSWF1Zh0RPtYR4WMdET7WkTw6GuuI8LGOCB/riPCxjghfgy/BxzoifKwjwsc6InysI8LHOhJ8F9YR4WMdET7WEeFjHUlhdWnwJfhYR4SPdUT4WEf06GAdET7WkeC7so4IH+uI8LGOCB/riPA1+BJ8rCPCxzoifKwjwsc6InysI8F3Yx0RPtaRFFY31hHhYx0RvgZfgo91RI8O1hHhYx0RPtYR4WMdCb4764jwsY4IH+uI8LGOCF+DL8HHOiJ8rCPCxzoifKwjwsc6ksLqwToifKwjwsc6InysI3l0PBp8CT7WEeFjHRE+1hHhYx0RPtbxP4+vHdyAz/Cxjggf64jwsY4IX4Mvwcc6InysI8LHOv7nC6tf+FhHhI91JPjcJs/wsY7k0eE2eYaPdUT4GnwJPtYR4WMdET7WEeFjHRE+1pHgc5s8w8c6InysI8LHOiJ8Db4EH+tICiu3yTN8rCPCxzoifKwjeXS4TZ7hYx0RPtYR4WMdEb4GX4KPdUT4WEeEj3VE+FhHhI91JPjcJs/wsY4IH+uI8LGOpLBymzzDxzoifKwjwsc6okcH64jwsY4En9vkGT7WEeFjHRE+1hHha/Al+FhHhI91RPhYR4SPdUT4WEeCz23yDB/rSAort8kzfKwjwtfgS/CxjujRwToifKwjwsc6InysI8HnNnmGj3VE+FhHhI91RPgafAk+1hHhYx0RPtYR4WMdET7WkRRWbpNn+FhHhI91RPhYR/LocJs8w8c6InysI8LHOiJ8rCPCxzoSfG6TZ/hYR4SPdUT4WEeEr8GX4GMdET7WEeFjHUlh5TZ5ho91BPiObpNn+FhH8Og4uk2e4WMdEb4GX4KPdUT4WEeEj3VE+FhHhI91JPjcJs/wsY4IH+uI8LGOCF+DL8HHOpLCym3yDB/riPCxjggf60geHW6TZ/hYR4SPdUT4WEeEr8GX4GMdET7WEeFjHRE+1hHhYx0JPrfJM3ysI8LHOiJ8rCMprNwmz/Cxjggf64jwsY7o0cE6InysI8HnNnmGj3VE+FhHhI91RPgafAk+1hHhYx0RPtYR4WMdET7WkeBzmzzDxzqSwspt8gwf64jwNfgSfKwjenSwjggf64jwsY4IH+tI8LlNnuFjHRE+1hHhYx0RvgZfgo91RPhYR4SPdUT4WEeEj3UkhZXb5Bk+1hHhYx0RPtaRPDrcJs/wsY4IH+uI8LGOCB/riPCxjgSf2+QZPtYR4WMdET7WEeFr8CX4WEeEj3VE+FhHUli5TZ7hYx0JPrfJM3ysI3l0uE2e4WMdEb4GX4KPdUT4WEeEj3VE+FhHhI91BPhObpNn+FhHhI91RPhYR4SvwZfgYx1BYXVymzzDxzoifKwjwsc6kkeH2+QZPtYR4WMdET7WEeFr8CX4WEeEj3VE+FhHhI91RPhYR4LPbfIMH+uI8LGOCB/rSAort8kzfKwjwsc6InysI3p0sI4IH+tI8LlNnuFjHRE+1hHhYx0RvgZfgo91RPhYR4SPdUT4WEeEj3Uk+Nwmz/CxjqSwcps8w8c6InwNvgQf64geHawjwsc6InysI8LHOhJ8bpNn+FhHhI91RPhYR4SvwZfgYx0RPtYR4WMdET7WEeFjHUlh5TZ5ho91RPhYR4SPdSSPDrfJM3ysI8LHOiJ8rCPCxzoifKwjwec2eYaPdUT4WEeEj3VE+Bp8CT7WEeFjHRE+1pEUVm6TZ/hYR4LPbfIMH+tIHh1uk2f4WEeEr8GX4GMdET7WEeFjHRE+1hHhYx0JPrfJM3ysI8LHOiJ8rCPC1+BL8LGOpLBymzzDxzoifKwjwsc6gkfH2W3yDB/riPCxjggf64jwNfgSfKwjwsc6InysI8LHOiJ8rCPB5zZ5ho91RPhYR4SPdQSF1dlt8gwf64jwsY4IH+uIHh2sI8LHOhJ8bpNn+FhHhI91RPhYR4SvwZfgYx0RPtYR4WMdET7WEeFjHQk+t8kzfKwjKazcJs/wsY4IX4Mvwcc6okcH64jwsY4IH+uI8LGOBJ/b5Bk+1hHhYx0RPtYR4WvwJfhYR4SPdUT4WEeEj3VE+FhHUli5TZ7hYx0RPtYR4WMdyaPDbfIMH+uI8LGOCB/riPCxjggf60jwuU2e4WMdET7WEeFjHRG+Bl+Cj3VE+FhHhI91JIWV2+QZPtaR4HObPMPHOpJHh9vkGT7WEeFr8CX4WEeEj3VE+FhHhI91RPhYR4LPbfIMH+uI8LGOCB/riPA1+BJ8rCMprNwmz/Cxjggf64jwsY7k0eE2eYaPdUT4WEeEj3VE+Bp8CT7WEeFjHRE+1hHhYx0RPtYR4Gtuk2f4WEeEj3VE+FhHUFi1Q4Mvwcc6InysI8LHOqJHB+uI8LGOBJ/b5Bk+1hHhYx0RPtYR4WvwJfhYR4SPdUT4WEeEj3VE+FhHgs9t8gwf60gKK7fJM3ysI8LX4Ev+7GMdET7WEeFjHRE+1hHhYx0JPrfJo8XFbfIMH+uI8LGO6M++Bl+Cj3VE+FhHhI91RPhYR4SPdSSLi9vkGT7WEeFjHRE+1pE8Otwmz/Cxjggf64jwsY4IH+uI8LGOBJ/b5Bk+1hHhYx0RPtYR4Wvw/Q7f/fQN4n4+jPj2aB2Pr8/ez8ef+P4gshGROB5Ol68PHy6HN0za4+vDl3b4/Uhd2vdH7z9+2cuzz55v7fgnih//9rZ/wN6IdtSAfb9+ffh8fwZ7I5IyB+yNKM0UsLdyJn0O2BvRpTlgb0Su5oC9ERWbA3YDez3YG9G8OWAzyN/Dvh6u//jo9Xx5A/t+/frs/f6nrB9//e/+YE0gl2P9uLavEuXnvwT//r8bfwvnw/kL8fn4+FksPfm369fP//UbPrXj0EJt5dz9zlOkvBtI8calt5AiSd9Ciux/CymqFbaQYpPiBlJUhGwhRQ3LFlLU3WwhRd3NFlLU3WwgxbvuZgsp6m62kKLuZgsp6m62kGKT4gZS1N1sIUXdzRZS1N1sIUXdzRZS1N1sIMWH7mYLKeputpCi7mYLKeputpBik+IGUtTdbCFF3c0WUtTdbCFF3c0WUtTdzJ/i5aC72UKKupstpKi72UKKupstpNikuIEUdTdbSFF3s4UUdTdbSFF3s4UUdTcbSPGou9lCirqbLaSou9lCirqbLaTYpLiBFHU3W0hRd7OFFHU3H0rx94efL0d1TNFgNCw1gzkpTYoGowf5UDC/v1P5azcQTM1gtBVFg2mCqRmMTqFoMGqColsZ8y8aDPMvGgzzrxnMmfnXfPifmX/RYJh/0WCYf9FgmmBqBsP8iwbD/IsGw/yLBsP8iwbD/GsG05h/0WCYf9FgmH/RYJh/0WCaYD4TzJvavzH/osEw/6LBMP+iwTD/og9/5l8zmAvzLxoM8y8aDPMvGgzzLxpME0zNYJh/0WCYf9FgmH/RYJh/0WCYf81grsy/aDDMv2gwzP9Dwbyp/a/Mv2gwTTA1g2H+RYNh/kUf/sy/aDDMv2gwzL9mMDfmXzQY5l80GOZfNBjmXzSYJpiawTD/osEw/6LBMP+iwTD/osEw/5rB3Jn/h4J5U/vfmX/RYJh/0WCYf9FgmmBqPvyZf9FgmH/RYJh/0WCYf9FgmH/NYB7Mv2gwzL9oMMy/aDDMv2gwTTA1g2H+RYNh/kWDYf5Fg2H+HwrmTe3/YP4lg7kemH/RYJh/0WCYf8mH//XA/IsG0wRTMxjmXzQY5l80GOZfNBjmXzQY5l8zmCPzLxoM8y8aDPMvGgzzLxpME0zNYJh/0WCY/4eCeVP7H5l/0WCYf9FgmH/NYE7Mv+bD/8T8iwbD/IsGw/yLBtMEUzMY5l80GOZfNBjmXzQY5l80GOZfM5gz8y8aDPMvGgzzLxoM8y8aTBPMZ4J5U/ufmX/RYJh/0WCYf9FgmH/Rhz/zrxlMY/5Fg2H+RYNh/kWDYf5Fg2mCqRkM8y8aDPMvGgzzLxoM8y8aDPOvGcyF+RcNhvkXDYb5fyiYN7X/hfkXDaYJpmYwzL9oMMy/6MOf+RcNhvkXDYb51wzmyvyLBsP8iwbD/IsGw/yLBtMEUzMY5l80GOZfNBjmXzQY5l80GOZfM5gb8/9QMG9q/xvzLxoM8y8aDPMvGkwTTM2HP/MvGgzzLxoM8y8aDPMvGgzzrxnMnfkXDYb5Fw2G+RcNhvkXDaYJpmYwzL9oMMy/aDDMv2gwzP9Dwbyp/e/Mv2YwD+ZfNBjmXzQY5l/z4f9g/kWDaYKpGQzzLxoM8y8aDPMvGgzzLxoM8y8ZzO3A/IsGw/yLBsP8iwbD/IsG0wRTMxjmXzQY5v+hYH5f+98OzL9oMMy/aDDMv2YwR+Zf8+F/ZP5Fg2H+RYNh/kWDaYKpGQzzLxoM8y8aDPMvGgzzLxoM868ZzIn5Fw2G+RcNhvkXDYb5Fw2mCeYzwbyp/U/Mv2gwzL9oMMy/aDDMv+jDn/nXDObM/IsGw/yLBsP8iwbD/IsG0wRTMxjmXzQY5l80GOZfNBjmXzQY5l8zmMb8iwbD/IsGw/w/FMyb2r8x/6LBNMHUDIb5Fw2G+Rd9+DP/osEw/6LBMP+awVyYf9FgmH/RYJh/0WCYf9FgmmBqBsP8iwbD/IsGw/yLBsP8iwbD/GsGc2X+HwrmTe1/Zf5Fg2H+RYNh/kWDaYKp+fBn/kWDYf5Fg2H+RYNh/kWDYf41g7kx/6LBMP+iwTD/osEw/6LBNMHUDIb5Fw2G+RcNhvkXDYb5fyiYN7X/jfnXDObO/IsGw/yLBsP8az7878y/aDBNMDWDYf5Fg2H+RYNh/kWDYf5Fg2H+NYN5MP+iwTD/osEw/6LBMP+iwTTB1AyG+RcNhvl/KJg3tf+D+RcNhvkXDYb5lwzmfmD+JR/+9wPzLxoM8y8aDPMvGkwTTM1gmH/RYJh/0WCYf9FgmH/RYJh/zWCOzL9oMMy/aDDMv2gwzL9oME0wnwnmTe1/ZP5Fg2H+RYNh/kWDYf5FH/7Mv2YwJ+ZfNBjmXzQY5l80GOZfNJgmmJrBMP+iwTD/osEw/6LBMP+iwTD/msGcmX/RYJh/0WCY/4eCeVP7n5l/0WCaYGoGw/yLBsP8iz78mX/RYJh/0WCYf81gGvMvGgzzLxoM8y8aDPMvGkwTTM1gmH/RYJh/0WCYf9FgmH/RYJh/zWAuzP9Dwbyp/S/Mv2gwzL9oMMy/aDBNMP+p5MOf+RcNhvkXDYb5Fw2G+RcNhvnXDObK/IsGw/yLBsP8iwbD/IsG0wRTMxjmXzQY5l80GOZfNBjm/6Fg3tT+V+ZfM5gb8y8aDPMvGgzzr/nwvzH/osE0wdQMhvkXDYb5Fw2G+RcNhvkXDYb51wzmzvyLBsP8iwbD/IsGw/yLBtMEUzMY5l80GOb/oWDe1P535l80GOZfNBjmXzOYB/Ov+fB/MP+iwTD/osEw/6LBNMHUDIb5Fw2G+RcNhvkXDYb5Fw2G+ZcM5nFg/kWDYf5Fg2H+RYNh/kWDaYL5TDC/r/0fB+ZfNBjmXzQY5l80GOZf9OHP/GsGc2T+RYNh/kWDYf5Fg2H+RYNpgqkZDPMvGgzzLxoM8y8aDPMvGgzzrxnMifkXDYb5Fw2G+X8omDe1/4n5Fw2mCaZmMMy/aDDMv+jDn/kXDYb5Fw2G+dcM5sz8iwbD/IsGw/yLBsP8iwbTBFMzGOZfNBjmXzQY5l80GOZfNBjmXzOYxvw/FMyb2r8x/6LBMP+iwTD/osE0wdR8+DP/osEw/6LBMP+iwTD/osEw/5rBXJh/0WCYf9FgmH/RYJh/0WCaYGoGw/yLBsP8iwbD/IsGw/w/FMyb2v/C/GsGc2X+RYNh/kWDYf41H/5X5l80mCaYmsEw/6LBMP+iwTD/osEw/6LBMP+awdyYf9FgmH/RYJh/0WCYf9FgmmBqBsP8iwbD/D8UzJva/8b8iwbD/IsGw/xrBnNn/jUf/nfmXzQY5l80GOZfNJgmmJrBMP+iwTD/osEw/6LBMP+iwTD/msE8mH/RYJh/0WCYf9FgmH/RYJpgPhPMm9r/wfyLBsP8iwbD/IsGw/yLPvyZf8VgLocD8y8aDPMvGgzzLxoM8y8aTBNMzWCYf9FgmH/RYJh/0WCYf9FgmH/NYI7Mv2gwzL9oMMz/Q8H8tvb/FQzzLxpME0zNYJh/0WCYf9GHP/MvGgzzLxoM868ZzIn5Fw2G+RcNhvkXDYb5Fw2mCaZmMMy/aDDMv2gwzL9oMMy/aDDMv2YwZ+b/oWDe1P5n5l80GOZfNBjmX/QZ0wRTMxjmXzQY5l80GOZfNBjmXzQY5l9zXW7Mv2gwzL9oMMy/5jOmMf+iwTTB1AyG+RcNhvkXDYb5Fw2G+Rddl5l/zWAuzL9oMMy/aDDMv+bD/8L8iwbTBFMzGOZfNBjmXzQY5l80GOZfNBjmXzOYK/MvGgzzLxoM8y8aDPP/UDD30zfi+/kwBtMEs1gwx3b+KiaP7XJ9E831fDp+/9Kt/YzmGeTrVyK/eP/5S5+e/crn8/Hx9eHz6fLzw3+ErlXYYegaix2Grg3ZYeialg2G3toX5nO73MfQtTj7C/2mIdpi6LfvSNrj9PsPnx7371/5cDi8+XC7fJE7tdv99x/+VQx/UT4fB2+8qcBM3mcmT8dn8v7K5D2+fuXT5XSIJk+JafI+M3nN5Jm8f33ybucvHKfb7fLmw4f29QOefn0dEI2pXtmYTjCmmnBj+reN6e2rmz39yicaU929MZ1gTH3bsPMxPR9O7XtMz29+5dP5/j2m7XD++eE/xsn3GMbpL4zTcsXi3ZcpJu8zk+fLFJP3mcnzZYrJ+yuTt1ilffdlisn7zOQ1k2fy/vXJu35P0+n6c5z+Iax3X3oYpwXHyZcTxmnBcfIlgnFacJyU/cbpL4zTX/lO6nj/Tvv4OI7fDNx9M2D2PjR7D98NmL2/afYW/JtND18kGNMJxtS3DsZ0gjH1FYUx/dvGdLG/gPdoxtSY1h9T35PsfUyP3y+JOx/PqZH7nsQ4LThOvicxTv/6OC1pGb5SMXmfmTxfqJi8T0zer2BMnsn7C5O3lIUeD74hMXmfmTxfemxw8i6X89eHL9c3/ynOX/vPuX//38keD76cME6feAHf8dBMnsn7yOT5CsHkfWbyfNtg8j7x6sfjwRcTJu8zk+eLCZP3Fybv9//p0PHg2wbjtNw4HX2FYJwWHCffCxinBcdJ2W+c/qZ3t775q2zHo28GzN6nZq+ZPbP398zegn//6OiLBGM6wZj61sGYTjCmvqIwpuUPVRyPvs8wphOMqe9Jdj6mH3oZ/PHkKxWT95nJ8+2LyfvEy+B/RWryTN5HJs/XNCav/EvQjqdmTI1p/TH1jY4xLf8StOPJNzrGdIIx9Y3O3sd0wZerHU++eTFOC46Tb0iM00feW3X2DYnJ+8zk+YbE5H1m8nxDYvI+8sa0s29ITN5nJq+ZvOUm7/7N+ng/Hf9p8v6grbtfk7YKek3amtQ1aSsa/ybax/aEth5uRdpN97QmbX3LmrR1DGvS5tUr7iStob0ibS65Jm0uuSZtLrkmbS65Jm0uuSLtC5dckzaXXJM2l1yTNpdck3ZDeznav/lG/A/aXHJN2lxyTdpcck3aXHJN2lzy97Rv7et3fD8e3tC+Hr7+UtX19OPvgf36Df8H6yuTXI81j1yPNYtcjzWHXI91w3o11vxxPdbscT3W3HE91sxxPda8cTXWN964HmveuB5r3rgea964HuuG9WqseeN6rHnjeqx543qseeN6rHnjaqzvvHE91rxxPda8cT3WvHE91g3r1VjzxvVY88b1WPPG9VjzxvVY88bVWD944+9Z3x9fr2V8vP0b2Kfr1y97+kHi6Ysk2zeIXz3Jm48erl9/Cbwdj9efH/4jQjo6fYQsd/oIyfP0ETYRzh4h1Z8+Qg3C9BEqJqaPUN8xfYRqlMkjPB20M9NHqJ2ZPkLtzPQRamemj7CJcPYItTPTR6idmT5C7cz0EWpnpo9QOzN7hEftzPQRamemj1A7M32E2pnpI2winD1C7cz0EWpnpo9QOzN9hNqZ6SPUzswe4Uk7M32E2pnpI9TOTB+hdmb6CJsIZ49QOzN9hNqZ6SPUzkwfoXZm+gi1M7NHeNbOTB+hdmb6CLUz00eonZk+wibC2SPUzkwfoXZm+gi1M9NHqJ2ZPkLtzOwRNu3M9BFqZ6aPUDszfYTamekjbCKcPULtzPQRamemj1A7M32E2pnpI9TOzB7hRTszfYTamekj1M5MH6F2ZvoImwhnj1A7Uz7C0/3rl23ndvr9h0/H49fv93RsbcxblbOvvPU++8pbSbSvvDVKu8r7qn7aV966qn3lrdjaV95asH3l3eS9q7z1a/vKW7+2r7z1a/vKW7+2r7z1a7vK+6Zf21fe+rV95a1f21fe+rV95d3kvau89Wv7ylu/tq+89Wv7ylu/tq+89Wu7yvuuX9tX3vq1feWtX9tX3vq1feXd5L2rvPVr+8pbv7avvPVr+8pbv1Y973//l/Lrs+fTZYxQZTZ7hA8t2PQRKramj1BXNX2E6qfpI2winD1CJdH0Eep9po9QlTN9hNqZ6SPUzkwe4fmgnZk+Qu3M9BFqZ6aPUDszfYRNhLNHqJ2ZPkLtzPQRamemj1A7M32E2pnZIzxqZ6aPUDszfYTamekj1M5MH2ET4ewRamemj1A7M32E2pnpI9TOTB+hdmb2CE/amekj1M5MH6F2ZvoItTPTR9hEOHuE2pnpI9TOTB+hdmb6CLUz00eonZk9wrN2ZvoItTPTR6idmT5C7cz0ETYRzh6hdmb6CLUz00eonZk+Qu3M9BFqZ2aPsGlnpo9QOzN9hNqZ6SPUzkwfYRPh7BFqZ6aPUDszfYTamekj1M5MH6F2ZvYIL9qZ6SPUzkwfoXamfISX2/dnL4/HGKF2ZvoImwhnj1A7M32E2pnpI9TOTB+hdmb6CLUzs0d41c5MH6F2ZvoItTPTR6idmT7CJsLZI9TOTB+hdmb6CLUz00eonZk+Qu3M7BHetDPTR6idmT5C7cz0EWpnpo+wiXD2CLUz00eonZk+Qu3M9BFqZ6aPUDsze4R37cz0EWpnpo9QOzN9hNqZ6SNsIpw9Qu3M9BFqZ6aPUDszfYTamekj1M7MHuFDOzN9hNqZ6SPUzkwfoXZm+gibCGePUDszfYTamekj1M5MH6F2ZvoItTOTR9gO2pnpI9TOTB+hdmb6CLUz00fYRDh7hNqZ6SPUzkwfoXZm+gi1M9NHqJ2ZPcKjdmb6CLUz00eonZk+Qu3M9BE2Ec4eoXZm+gi1M9UjvJ7a8R+fvZ4P5zFC7cz0EWpnpo9QOzN7hCftzPQRamemj1A7M32E2pnpI2winD1C7cz0EWpnpo9QOzN9hNqZ6SPUzswe4Vk7M32E2pnpI9TOTB+hdmb6CJsIZ49QOzN9hNqZ6SPUzkwfoXZm+gi1M7NH2LQz00eonZk+Qu3M9BFqZ6aPsIlw9gi1M9NHqJ2ZPkLtzPQRamemj1A7M3uEF+3M9BFqZ6aPUDszfYTamekjbCKcPULtzPQRamemj1A7Uz7CX5/4ivCXyI8Ramemj1A7M3uEV+3M9BFqZ6aPUDszfYTamekjbCKcPULtzPQRamemj1A7M32E2pnpI9TOzB7hTTszfYTamekj1M5MH6F2ZvoImwhnj1A7M32E2pnpI9TOTB+hdmb6CLUzs0d4185MH6F2ZvoItTPTR6idmT7CJsLZI9TOTB+hdmb6CLUz00eonZk+Qu3M7BE+tDPTR6idmT5C7cz0EWpnpo+wiXD2CLUz00eonZk+Qu3M9BFqZ6aPUDszeYSXg3Zm+gi1M9NHqJ2ZPkLtzPQRNhHOHqF2ZvoItTPTR6idmT5C7cz0EWpnZo/wqJ2ZPkLtzPQRamemj1A7Uz7C++3rl70+DtcxwibC2SPUzkwfoXamfISP0+E7wh8/2tMP38/nr1/4fr5c33y4fSV3v57H0dD6GI0Xo6FNMhovRkNLZTSej8ZJ+2U0XoyGVs1ovBgNbZ3ReDEaWkCj8WI0mtEwGs9HQ2tpNF6MhjbUaLwYDW2o0XgxGtpQo/FiNLShRuP5aJy1oUbjxWhoQ43Gi9HQhhqNF6OhDTUaL0ajGQ2j8Xw0tKFG48VoaEONxovR0IYajRejoQ01Gi9GQxtqNJ6PRtOGGo0Xo6ENNRovRkMbajRejIY21Gi8GI1mNIzG89HQhhqNF6OhDTUaL0ZDG2o0XoyGNtRovBgNbajReD4aF22o0XgxGtpQo/FiNLShRuPFaGhDjcaL0WhGw2g8Hw1tqNF4MRraUKPxYjS0oUbjxWhoQ43Gi9HQhhqN56Nx1YYajRejoQ01Gi9GQxtqNF6MhjbUaLwYjWY0jMbz0dCGGo0Xo6ENNRovRkMbajRejIY21Gi8GA1tqNF4Pho3bajReDEa2lCj8WI0tKFG48VoaEONxovRaEbDaDwfDW2o0XgxGtpQo/FiNLShRuPFaGhDjcaL0dCGGo3no3HXhhqNF6OhDTUaL0ZDG2o0XoyGNtRovBiNZjSMxvPR0IYajRejoQ01Gi9GQxtqNF6MhjbUaLwYDW2o0Xg+Gg9tqNF4MRraUKPxYjS0oUbjxWhoQ43Gi9FoRsNoPB8NbajReDEa2lCj8WI0tKFG48VoaEONxovR0IYajaejcT1oQ43Gi9HQhhqNF6OhDTUaL0ZDG2o0XoxGMxpG4/loaEONxovR0IYajRejoQ01Gi9GQxtqNF6MhjbUaDwfjaM21Gi8GA1tqNF4MRraUKPxYjS0oUbjxWg0o2E0no+GNtRovBgNbajReDEa2lCj8WI0tKFG48VoaEONxvPROGlDjcaL0dCGGo0Xo6ENNRovRkMbajRejEYzGkbj+WhoQzc2Gsfz92hc25i3inNbebfL97/ev/4Zv//w6XH7ivn0ePwZ8+n65MOXw/ckXQ7n488P/zFJGlGTtMwkKVBN0jKTpG81SYtM0lk9a5KWmSRtrklaZpKUvyZpmUnSFZukZSapmSSTtMgkaaJN0jKTpOM2SctMko7bJC0zSTpuk7TMJOm4TdIik9R03CZpmUnScZukZSZJx22SlpkkHbdJWmaSmkkySYtMko7bJC0zSTpuk7TMJOm4TdIyk6TjNknLTJKO2yQtMkkXHbdJWmaSdNwmaZlJ0nGbpGUmScdtkpaZpGaSTNIik6TjNknLTJKO2yQtM0k6bpO0zCTpuE3SMpOk4zZJi0zSVcdtkpaZJB23SVpmknTcJmmZSdJxm6RlJqmZJJO0yCTpuE3SMpOk4zZJy0ySjtskLTNJOm6TtMwk6bhN0iKTdNNxm6RlJknHbZKWmSQdt0laZpJ03CZpmUlqJskkLTJJOm6TtMwk6bhN0jKTpOM2SctMko7bJC0zSTpuk7TIJN113CZpmUnScZukZSZplx337fL1K9/ul99PUjsfvgC28/Hxhvav3+cX7VN7QnuXPfDHaDe0V6S9yz7xY7R32bl9jPYue6mP0d5ld/Mx2rvsNz5F+7HLDuBjtHfpyR+jzSXXpM0l16Td0F6RNpdckzaXXJM2l1yTNpdckzaXXI/27cAl16TNJdekzSXXpM0l16Td0F6RNpdckzaXXJM2l1yTNpdckzaXXJH2kUuuSZtLrkmbS65Jm0uuSbuhvSJtLrkmbS65Jm0uuSZtLrkmbS65Iu0Tl1yTNpdckzaXXJM2l1yTdkN7Rdpcck3aXHJN2lxyTdpcck3aXHJF2mcuuSZtLvmG9vVy/EJxvd5GgPQwBMj4QoANwAwgL3sD8HY4faM4PgFItUKA7CkESIhCgBwnA9hoS/YUbkwkBMhEQoBMJATYAMweIkwkBMhEQoBMJATIREKATCQDeGEiIUAmEgJkIiFAJhICbABmAJlICJCJhACZSAiQiWR11oWJZACvTCQEyERCgEwke4hcmUgIsAGYAWQiIUAmEgJkIiFAJhICZCIZwBsTCQEykRAgEwkBMpEQYAMwA8hEQoBMJKuzbkwkBMhEQoBMJAN4ZyLZQ+TOREKATCQEyERCgA3ADCATCQEykRAgEwkBMpEQIBPJAD6YSAiQiYQAmUgIkImEABuAUZ31YCIhQCYSAmQiIUAmEj5EmEgE8H5gIiFAJhICZCIhQCYSAmwAZgCZSAiQiYQAmUgIkImEAJlIBvDIREKATCQEyESiOut+ZCIhwAZgBpCJhACZSPgQYSIhQCYSAmQiGcATEwkBMpEQIBMJATKREGADMAPIREKATCQEyERCgEwkBMhEMoAOsod1lhvrKUAmEgJkIiHABmD2EGEiIUAmEgJkIiFAJhICZCIZQDfWU4BMJATIREKATCQE2ADMADKRECATCQEykRAgE8nqLDfWQ4BurKcAmUgIkIlkDxE31lOADcAMIBMJATKRECATCQEykRAgE8kAurGeAmQiIUAmEgJkIiHABmAGkImEAJlIVme5sZ4CZCIhQCaSAXRjPXyIuLGeAmQiIUAmEgJsAGYAmUgIkImEAJlICJCJhACZSAbQjfUUIBMJATKRECATCQE2AKM6y431FCATCQEykRAgEwkfIkwkA+jGegqQiYQAmUgIkImEABuAGUAmEgJkIiFAJhICZCIhQCYSAXy4sZ4CZCIhQCYS1VkPN9ZTgA3ADCATCQEykfAhwkRCgEwkBMhEMoBurKcAmUgIkImEAJlICLABmAFkIiFAJhICZCIhQCYSAmQiGUA31sM6y431FCATCQEykRBgAzB7iDCRECATCQEykRAgEwkBMpEMoBvrKUAmEgJkIiFAJhICbABmAJlICJCJhACZSAiQiWR1lhvrIUA31lOATCQEyESyh4gb6ynABmAGkImEAJlICJCJhACZSAiQiWQA3VhPATKRECATCQEykRBgAzADyERCgEwkq7PcWE8BMpEQIBPJALqxHj5E3FhPATKRECATCQE2ADOATCQEyERCgEwkBMhEQoBMJAPoxnoKkImEAJlICJCJhAAbgFGd5cZ6CpCJhACZSAiQiYQPESaSAXRjPQXIREKATCQEyERCgA3ADCATCQEykRAgEwkBMpEQIBPJALqxngJkIiFAJpLVWW6spwAbgBlAJhICZCLhQ4SJhACZSAiQiSQArwc31lOATCQEyERCgEwkBNgAzAAykRAgEwkBMpEQIBMJATKRDKAb61Gd9QsgEwkBMpEQIBMJATYAs4cIEwkBMpEQIBMJATKRECATyQC6sZ4CZCIhQCYSAmQiIcAGYAaQiYQAmUgIkImEAJlIVme5sR4CdGM9BchEQoBMJHuIuLGeAmwAZgCZSAiQiYQAmUgIkImEAJlIBtCN9RQgEwkBMpEQIBMJATYAM4BMJATIRLI6y431FCATCQEykQygG+vhQ8SN9RQgEwkBMpEQYAMwA8hEQoBMJATIREKATCQEyEQygG6spwCZSAiQiYQAmUgIsAEY1VlurKcAmUgIkImEAJlI+BBhIhlAN9ZTgEwkBMhEQoBMJATYAMwAMpEQIBMJATKRECATCQEykQygG+spQCYSAmQiWZ3lxnoKsAGYAWQiIUAmEj5EmEgIkImEAJlIBtCN9RQgEwkBMpEQIBMJATYAM4BMJATIREKATCQEyERCgEwkAnh0Yz2rs45urKcAmUgIkImEABuA2UOEiYQAmUgIkImEAJlICJCJZADdWE8BMpEQIBMJATKREGADMAPIREKATCQEyERCgEwkq7PcWA8BurGeAmQiIUAmkj1E3FhPATYAM4BMJATIREKATCQEyERCgEwkA+jGegqQiYQAmUgIkImEABuAGUAmEgJkIlmd5cZ6CpCJhACZSAbQjfXwIeLGegqQiYQAmUgIsAGYAWQiIUAmEgJkIiFAJhICZCIZQDfWU4BMJATIREKATCQE2ACM6iw31lOATCQEyERCgEwkfIgwkQygG+spQCYSAmQiIUAmEgJsAGYAmUgIkImEAJlICJCJhACZSAbQjfUUIBMJATKRrM5yYz0F2ADMADKRECATCR8iTCQEyERCgEwkA+jGegqQiYQAmUgIkImEABuAGUAmEgJkIiFAJhICZCIhQCaSAXRjPayz3FhPATKRECATCQE2ALOHCBMJATKRECATCQEykRAgE4kAntxYTwEykRAgEwkBMpEQYAMwA8hEQoBMJATIREKATCSqs05urIcA3VhPATKRECATyR4ibqynABuAGUAmEgJkIiFAJhICZCIhQCaSAXRjPQXIREKATCQEyERCgA3ADCATCQEykazOcmM9BchEQoBMJAPoxnr4EHFjPQXIREKATCQE2ADMADKRECATCQEykRAgEwkBMpEMoBvrKUAmEgJkIiFAJhICbABGdZYb6ylAJhICZCLhn4FMJATIRDKAbqynAJlICJCJhACZSLbGuLGeAmQiIUAmEv4ZyERCgEwkBMhEMoBurKcAmUgIkIlka4wb6ynABmAGkImEAJlI+BBhIiFAJhICZCIZQDfWU4BMJATIREKATCQE2ADMADKRECATCQEykTcA76dvFPfzYQS4TxN5fP2W7+fjT4B/MNmKXBwPXz3I8Xi5v2Fyvn5/+nxt7z59aV+4L/cftC/PZvB8a8c/afz4l7j9wXszV9ar8L5fvz58vj/jvRV1mYX3VkxnFt5bEaNZeDe8V+W9Fe2ahfdWLG0W3luRull4b8UBZ+HNL9/yvh6u//jw9Xx5w/t+/frs/f6nzR9//e/+A/eDXi6K+3Ft//js4+e/Cv/+vxspnw/nL8rn4+Nn/fTk37FfCL7+JTu149BVPXjrRoIkxBsJkmlvJMgmyG0EqRvYSJBKh40Eqc3YSJBqko0EqX/ZRJDng2ZnI0FqdjYSpGZnI0FqdjYSZBPkNoLU7GwkSM3ORoLU7GwkSM3ORoLU7GwjyKNmZyNBanY2EqRmZyNBanY2EmQT5DaC1OxsJEjNzkaC1OxsJEjNzkaC1OxsI8iTZmcjQWp2NhKkZmcjQWp2NhJkE+Q2gtTsbCRIzc5GgtTsbCRIzc5GgtTsbCPIs2ZnI0FqdjYSpGZnI0FqdjYSZBPkNoLU7GwkSM3ORoLU7GwkSM3ORoLU7GwjyKbZ+VyQvz9mfW7KmrrZ6F/qZqNSqZtNk83Hsvn9xc1zU3zUzUaXUTcb9UTdbDQOdbNRIpTd0y56gbrZ6AXqZqMXqJuNXqDsLnBpsimbjV6gbjZ6gbrZ6AXqZqMXqJuNXqBsNle9QN1s9AJ1s9EL1M1GL1A3myabstnoBepmoxeom41eoOx3BFe9QN1s9AJls7npBepmoxcouwvc9AJ1s9EL1M2myaZsNnqButnoBepmoxeom41eoG42eoGy2dz1AnWz0QvUzUYvUDcbvUDdbJpsymajFyj7HcFdL1A3G71A3Wz0AnWz0QuU3QUeeoG62egF6majF6ibjV6gbjZNNmWz0QvUzUYvUDcbvUDdbPQCdbPRC1TNph30AnWz0QvUzUYvUDcbvUDV7wjaocmmbDZ6gbrZ6AXqZqMXqLsL6AXqZqMXKJvNUS9QNxu9QN1s9AJ1s9EL1M2myaZsNnqButnoBepmoxeom41eoG42eoGy2Zz0AnWz0QuU/Y7gpBeom41eoG42TTZls9EL1N0F9AJ1s9EL1M1GL1A3G71A2WzOeoG62egF6majF6ibjV6gbjZNNmWz0QvUzUYvUDcbvUDdbPQCdbPRC5T9jqDpBepmoxeom41eoG42eoGyu0BrsimbjV6gbjZ6gbrZ6AXqZqMXqJuNXqBsNhe9QN1s9AJ1s9EL1M1GL1A3myabstnoBepmoxeom41eoOx3BBe9QN1s9AJls7nqBepmoxcouwtc9QJ1s9EL1M2myaZsNnqButnoBepmoxeom41eoG42eoGy2dz0AnWz0QvUzUYvUDcbvUDdbJpsymajFyj7HcFNL1A3G71A3Wz0AnWz0QuU3QXueoG62egF6majF6ibjV6gbjZNNmWz0QvUzUYvUDcbvUDdbPQCdbPRC5TN5qEXqJuNXqBuNnqButnoBcp+R/BosimbjV6gbjZ6gbrZ6AXq7gJ6gbrZ6AWqZnM56AXqZqMXqJuNXqBuNnqButk02ZTNRi9QNxu9QN1s9AJ1s9EL1M1GL1A2m6NeoG42eoGq3xFcjnqButnoBepm02RTNhu9QN1dQC9QNxu9QN1s9AJ1s9ELlM3mpBeom41eoG42eoG62egF6mbTZFM2G71A3Wz0AnWz0QvUzUYvUDcbvUDZ7wjOeoG62egF6majF6ibjV6g7C5wbrIpm41eoG42eoG62egF6majF6ibjV6gbDZNL1A3G71A3Wz0AnWz0QvUzabJpmw2eoG62egF6majFyj7HUHTC9TNRi9QNpuLXqBuNnqBsrvARS9QNxu9QN1smmzKZqMXqJuNXqBuNnqButnoBepmoxcom81VL1A3G71A3Wz0AnWz0QvUzabJpmw2eoGy3xFc9QJ1s9EL1M1GL1A3G71A2V3gpheom41eoG42eoG62egF6mbTZFM2G71A3Wz0AnWz0QvUzUYvUDcbvUDZbO56gbrZ6AXqZqMXqJuNXqDsdwT3Jpuy2egF6majF6ibjV6g7i6gF6ibjV6gbDYPvUDdbPQCdbPRC9TNRi9QN5smm7LZ6AXqZqMXqJuNXqBuNnqButnoBapmcz3oBepmoxeo+h3B9aAXqJuNXqBuNk02ZbPRC9TdBfQCdbPRC9TNRi9QNxu9QNlsjnqButnoBepmoxeom41eoG42TTZls9EL1M1GL1A3G71A3Wz0AnWz0QuU/Y7gpBeom41eoG42eoG62egFyu4CpyabstnoBepmoxeom41eoG42eoG62egFymZz1gvUzUYvUDcbvUDdbPQCdbNpsimbjV6gbjZ6gbrZ6AXKfkdw1gvUzUYvUDabpheom41eoOwu0PQCdbPRC9TNpsmmbDZ6gbrZ6AXqZqMXqJuNXqBuNnqBstlc9AJ1s9EL1M1GL1A3G71A3WyabMpmoxco+x3BRS9QNxu9QN1s9AJ1s9ELlN0FrnqButnoBepmoxeom41eoG42TTZls9EL1M1GL1A3G71A3Wz0AnWz0QuUzeamF6ibjV6gbjZ6gbrZ6AXKfkdwa7Ipm41eoG42eoG62egF6u4CeoG62egFymZz1wvUzUYvUDcbvUDdbPQCdbNpsimbjV6gbjZ6gbrZ6AXqZqMXqJuNXqBsNg+9QN1s9AJlvyN46AXqZqMXqJtNk03ZbPQCdXcBvUDdbPQCdbPRC9TNRi9QNZvbQS9QNxu9QN1s9AJ1s9EL1M2myaZsNnqButnoBepmoxeom41eoG42eoGq3xHcjnqButnoBepmoxeom41eoOwucGyyKZuNXqBuNnqButnoBepmoxeom41eoGw2J71A3Wz0AnWz0QvUzUYvUDebJpuy2egF6majF6ibjV6g7HcEJ71A3Wz0AmWzOesF6majFyi7C5z1AnWz0QvUzabJpmw2eoG62egF6majF6ibjV6gbjZ6gbLZNL1A3Wz0AnWz0QvUzUYvUDebJpuy2egFyn5H0PQCdbPRC9TNRi9QNxu9QNld4KIXqJuNXqBuNnqButnoBepm02RTNhu9QN1s9AJ1s9EL1M1GL1A3G71A2WyueoG62egF6majF6ibjV6g7HcE1yabstnoBepmoxeom41eoO4uoBeom41eoGw2N71A3Wz0AnWz0QvUzUYvUDebJpuy2egF6majF6ibjV6gbjZ6gbrZ6AXKZnPXC9TNRi9Q9juCu16gbjZ6gbrZNNmUzUYvUHcX0AvUzUYvUDcbvUDdbPQCZbN56AXqZqMXqJuNXqBuNnqButk02ZTNRi9QNxu9QN1s9AJ1s9EL1M1GL1D1O4L7QS9QNxu9QN1s9AJ1s9ELVN0F7ocmm7LZ6AXqZqMXqJuNXqBuNnqButnoBcpmc9QL1M1GL1A3G71A3Wz0AnWzabIpm41eoG42eoG62egFyn5HcNQL1M1GL1A2m5NeoG42eoGyu8BJL1A3G71A3WyabMpmoxeom41eoG42eoG62egF6majFyibzVkvUDcbvUDdbPQCdbPRC9TNpsmmbDZ6gbLfEZz1AnWz0QvUzUYvUDcbvUDZXaDpBepmoxeom41eoG42eoG62TTZlM1GL1A3G71A3Wz0AnWz0QvUzUYvUDabi16gbjZ6gbrZ6AXqZqMXKPsdwaXJpmw2eoG62egF6j5v9AJ1s9EL1M1GL1A2m6teoG42eoG62egFyu7QV71A3WyabMpmoxeo+7zRC9TNRi9QNxu9QN1s9AJls7npBepmoxcou0Pf9AJ1s9EL1M2myaZsNnqBuruAXqBuNnqButnoBepmoxcom81dL1A3G71A3Wz0AnWz0QvUzabJpmw2eoG62egFPpfN/fRN+X4+jNnoBRbN5tjO37+Pdrm+Sed6Ph2/f+nWfqbz7Dd9vX//pm9//tKnZ7/y+Xx8fH34fLr8/PAfuesc9pm7PmOXuT90JfvMXQ+zzdxb+yJ9bj94fOeu49ln7vqjjeZ++06lPU6///Dpcf/+lQ+Hw5sPt8vlK8N2u//+w5fD12cv5+Mgk49m+Azfp4ZPA2j4/uLwPb5+5dPldIiGT8Vp+D42fDpcw/fXhu92/sJxut0ubz58aF8/4OlwbdGkap1N6hyTqic3qX/npN6+atvT8XAKJvVx0Oyb1Dkm1XcRJvV8OLXvST2/+ZVP5/v3pLbD+eeH/5go33KYqL82UYsVjo+Dr1oM38eGrxk+w/ep4fNVi+H7i8O3VNv9OPiqxfB9bPh81WL4/trwXb8H6nT9OVFfCusrERO17ET56sJELTpRR18xmKhlJ8pXASbqr03UX/nS6nj/Dvz4OI7fGxx9b2D8Pjh+vjkwfn/f+C3316Aex2ZSTeoUk+o7CZM6x6T6AsOk/p2Tuthf2Dv6tsOkzjGpvkUxqefj93vozsdz6ui+RTFRi07UybcoJuovTdSC0nHyhYvh+9jw+brF8H1s+HzZYvj+4vAt5qWnZvgM36eGz1ci2xy+y+X89eHL9c1/yfPX/svwN/+97clXFybqQy/4e5x8G2H4PjZ8vmAwfB8bPt9FGL4PvV3ycfa1heH72PD52sLw/bXhe/NfHp19F2Gilp0oXzCYqGUnqpkoE7XoRPkqwET9fS+JffdX386+NzB+Hxw/3xwYvxnODjzOvmYwqXNMqu8kTOoUk9p8gWFSpziQ0XzbYVLnmFTfopjUT71+vvnCxfB9bPia4TN8H3r9fPM1juH72PD5EsfwTfGGteb7HpM6x6T6vsekTvGGteb7HpM6xaRefN9jUhd9c9vF9zImatmJ8v2JifrUG7Euvj8xfB8bvmb4DN+nhs/3J4bvU69ju/j+xPB9bPh8JbLs8N2/cR/vp+M/Dd8fwDX7KwNXUK8L/KpnXRm4GvLvA35sT4Br6VYGrplaGXgDfF3gGoiVgbPulbcUprkycKa5MnCmuS7wG9NcGTjTXBk401wZONNcGXgDfF3gTHNl4ExzZeBMc7Uv1P8AzjRXBs401wV+Z5orA2eaKwNnmm+B39rXb/p+PLwBfj18/RWt6+nH3yr79Xv+AzfPXBV3g3tN3BxzVdwMc1Xc/HJV3OxyVdzcck3cD2a5Km5euSpuVrkqbla5Ku4G95q4WeWquFnlqrhZ5aq4WeWquFnlerhvhwOrXBU3q1wVN6tcFTerXBV3g3tN3KxyVdysclXcrHJV3KxyVdysck3cR1a5Km5WuSpuVrkqblb5Fvf98fUGycfbv+F9un6fsvwB4+k7L9s3i8vx9uajh+vXXzJvx+P154f/SLFJcQMpcuAtpEitt5AiY99CioqALaSoX9hAiie1xRZS1IZsIUUlyxZS1N1sIcUmxQ2kqLvZQoq6my2kqLvZQoq6my2kqLvZQIpn3c0WUtTdbCFF3c0WUtTdbCHFJsUNpKi72UKKupstpKi72UKKupstpKi72UCKTXezhRR1N1tIUXezhRR1N1tIsUlxAynqbraQou5mCynqbraQou5mCynqbjaQ4kV3s4UUdTdbSFF3s4UUdTdbSLFJcQMp6m62kKLuZgsp6m62kKLuZgsp6m42kOJVd7OFFHU3W0hRd7OFFHU3W0ixSXEDKeputpCi7mYLKeputpCi7mYLKepuNpDiTXezhRR1N1tIUXezhRR1N1tIsUlxAynqbraQou5mCynqbraQou5mhhRP969ftp3b6fcfPh2PX7/f07G1MXJFz94iv2uFdhe5Cml3keubdhe5cmp3kTeR7y1ytdfuIteR7S5yhdruIte+7S5y7dveIn9o33YXufZtd5Fr33YXufZtd5E3ke8tcu3b7iLXvu0ucu3b7iLXvu0ucu3bziL/9TOKfG+Ra992F7n2bXeRa992F3kT+d4i177tLnLt2+4i177tLnLt2+4i177tLfKj9m13kWvfJoj8crp/Mb6cT5cxRYXaFlLUkW0hxSbFDaSoydpCisqpLaSob9pCiiqkLaSoFdpAiidFzxZS1N1sIUXdzRZS1N1sIcUmxQ2kqLvZQoq6my2kqLvZQoq6my2kqLvZQIpn3c0WUtTdbCFF3c0WUtTdbCHFJsUNpKi72UKKupstpKi72UKKupstpKi72UCKTXezhRR1N1tIUXezhRR1N1tIsUlxAynqbraQou5mCynqbraQou5mCynqbjaQ4kV3s4UUdTdbSFF3s4UUdTdbSLFJcQMp6m62kKLuZgsp6m62kKLuZgsp6m42kOJVd7OFFHU3W0hRd7OFFHU3W0ixSXEDKeputpCi7mYLKeputpCi7mYLKepuNpDiTXezhRR1N1tIUXezhRR1N1tIsUlxAynqbmZI8XL7/uzl8RhT1N1sIUXdzRZS1N1sIUXdzQZSvOtutpCi7mYLKeputpCi7mYLKTYpbiBF3c0WUtTdbCFF3c0WUtTdbCFF3c0GUnzobraQou5mCynqbraQou5mCyk2KW4gRd3NFlLU3WwhRd3NFlLU3WwhRd3N/CmeDrqbLaSou9lCirqbLaSou9lCik2KG0hRd7OFFHU3W0hRd7OFFHU3W0hRd7OBFI+6my2kqLvZQoq6my2kqLvZQopNihtIUXezhRR1N1tIUXezhRR1N1tIUXezgRRPupstpKi72UKKupstpKi72UKKTYobSFF3s4UUdTdbSFF3s4UUdTdbSFF3s4EUz7qbLaSou9lCirqbLaSou9lCik2KG0hRd7OFFHU3W0hRd7OFFHU3W0hRdzNBitdT+/r9Xs+H85Bi091sIUXdzRZS1N1sIUXdzRZSbFLcQIq6my2kqLvZQoq6my2kqLvZQoq6mw2keNHdbCFF3c0WUtTdbCFF3c0WUmxS3ECKupstpKi72UKKupstpKi72UKKupsNpHjV3WwhRd3NFlLU3WwhRd3NFlJsUtxAirqbLaSou9lCirqbLaSou9lCirqbDaR4091sIUXdzRZS1N1sIUXdzRZSbFLcQIq6my2kqLvZQoq6my2kqLvZQoq6mw2keNfdzJDir098pXhpbUxRd7OFFHU3W0hRd7OFFJsUN5Ci7mYLKeputpCi7mYLKeputpCi7mYDKT50N1tIUXezhRR1N1tIUXezhRSbFDeQou5mCynqbraQou5mCynqbraQou5m/hTPB93NFlLU3WwhRd3NFlLU3WwhxSbFDaSou9lCirqbLaSou9lCirqbLaSou9lAikfdzRZS1N1sIUXdzRZS1N1sIcUmxQ2kqLvZQoq6my2kqLvZQoq6my2kqLvZQIon3c0WUtTdbCFF3c0WUtTdbCHFJsUNpKi72UKKupstpKi72UKKupstpKi72UCKZ93NFlLU3WwhRd3NFlLU3WwhxSbFDaSou9lCirqbGVK8375+2evjcB1T1N1sIUXdzRZS1N3MkOLjdPhO8XL4/Yfvv/TxHx++ny/XNx9uX+Hdr8P9qnPTCZmO19OhazIdr6dDh2U6Xk+Hbsx0vJ6OZjpMx8vp0OWZjtfToSM0Ha+nQ/doOl5Ph07TdLyeDl2p6Xg5HRddqel4PR26UtPxejp0pabj9XToSk3H6+lopsN0vJwOXanpeD0dulLT8Xo6dKWm4/V06EpNx+vp0JWajpfTcdWVmo7X06ErNR2vp0NXajpeT4eu1HS8no5mOkzHy+nQlZqO19OhKzUdr6dDV2o6Xk+HrtR0vJ4OXanpeDkdN12p6Xg9HbpS0/F6OnSlpuP1dOhKTcfr6Wimw3S8nA5dqel4PR26UtPxejp0pabj9XToSk3H6+nQlZqOl9Nx15WajtfToSs1Ha+nQ1dqOl5Ph67UdLyejmY6TMfL6dCVmo7X06ErNR2vp0NXajpeT4eu1HS8ng5dqel4OR0PXanpeD0dulLT8Xo6dKWm4/V06EpNx+vpaKbDdLycDl2p6Xg9HbpS0/F6OnSlpuP1dOhKTcfr6dCVmo5X09EOulLT8Xo6dKWm4/V06EpNx+vp0JWajtfT0UyH6Xg5HbpS0/F6OnSlpuP1dOhKTcfr6dCVmo7X06ErNR0vp+OoKzUdr6dDV2o6Xk+HrtR0vJ4OXanpeD0dzXSYjpfToSs1Ha+nQ1dqOl5Ph67UdLyeDl2p6Xg9HbpS0/FyOk66UtPxejp0pabj9XToSk3H6+nQlZqO19PRTIfpeDkdulLT8Xo6dKWm4/V06EpNx+vp0JWajtfToSs1HS+n46wrNR2vp0NXajpeT4eu1HS8ng5dqel4PR3NdJiOl9OhKzUdr6dDV2o6Xk+HrtR0vJ4OXanpeD0dulLT8XI6mq7UdLyeDl2p6Xg9HbpS0/F6OnSlpuP1dDTTYTpeToeu1HS8ng5dqel4PR26UtPxejp0pdubjuP5ezqubYxcAbq5yNvl+1/yX/+M33/49Lh9JX16PP5M+nR98uHL4XuYLofz8eeH/2OYLvpSw7TYMKlXDdNiw6SNNUyLDZPy1jAtNkzNMBmmpYZJNWyYFhsmTbJhWmyYFM+GabFh0lMbpsWGSQNumJYapqsG3DAtNkwacMO02DBpwA3TYsOkATdMiw1TM0yGaalh0oAbpsWGSQNumBYbJg24YVpsmDTghmmxYdKAG6alhummATdMiw2TBtwwLTZMGnDDtNgwacAN02LD1AyTYVpqmDTghmmxYdKAG6bFhkkDbpgWGyYNuGFabJg04IZpqWG6a8AN02LDpAE3TIsNkwbcMC02TBpww7TYMDXDZJiWGiYNuGFabJg04IZpsWHSgBumxYZJA26YFhsmDbhhWmqYHhpww7TYMGnADdNiw6QBN0yLDZMG3DAtNkzNMBmmpYZJA26YFhsmDbhhWmyYNOCGabFh0oAbpsWGSQNumBYapstBA26YFhsmDbhhWmyYNOCGabFh0oAbpsWGqRkmw7TUMO2zAb8fvn/Pv9j/06f/wLKVLvd0uX5/+NbeYDld7o+v38evf93effp8//q1T+3w52/kdPkHw61UmH8nw3b5/sOn/fgRT5en/y5/ffby7N/krZR8fyvux9dPeLqcDhHurdRgfyfu6zfC0/Unw3/8CXHcSvvzdzK8nb//lL3dLr8f2eP9+0c8Po7jH8nHrTQk0wDfSotQBfjp0L72vNPh2pI/wY9bkfItZtNks3A2t+9f+ng4RdlsRRm3mM1mvPXwZzaPd7TbnxbV2u367tPnw1cl0s7Hx0+GT3D/+q1+8T61J8A3I7mzAN+M5s4CfDOiOwnw02aseBbgm7HiWYBvxopnAb4Z1Z0FeAN8XeCbkdJZgDPNlYEzzZWBM82VgTPNdYGfmebKwJnmysCZ5srAmebKwBvg6wJnmisDZ5orA2eaKwNnmisDZ5rrAm9Mc2XgTHNl4ExzZeBMc2XgDfB1gTPNlYEzzZWBM82VgTPNlYEzzXWBX5jmysCZ5srAmebKwJnmysAb4OsCZ5orA2eaKwNnmisDZ5orA2ea6wK/Ms2VgTPNlYEzzZWBM82VgTfA1wXONN8Dv16+3qPVrtfbyJA85gz5YM6Q4uUMWdt7hrfD6ZvGcWR4I2I5Q26VM6RLOUMGlDNsGKbP5RtPyRnylJwhT8kZ8pT8mcJTYoZ3npIz5Ck5Q56SM+QpOcOGYcyQp+QMeUrOkKfkDHlKzpCnxAwfPCVnyFNyhjwl7r4ePCVn2DCMGfKUnCFPyZ8pPCVnyFNyhjwlZXg98JScIU/JGfKUnCFPyRk2DGOGPCVnyFNyhjwlZ8hTcoY8JWZ45Clp93U98pScIU/JGfKUnGHDMH6m8JScIU/JGfKUnCFPyRnylJjhiafkDHlKzpCn5Ax5Ss6wYRgz5Ck5Q56SM+QpOUOeEndfJ54SMzzzlJwhT8kZ8pT4mXLmKTnDhmHMkKfkDHlKzpCn5Ax5Ss6Qp8QMG0/JGfKUnCFPyRnylJxhwzBmyFNyhjwl7r4aT8kZ8pScIU+JGV54SvxMufCUnCFPyRnylJxhwzBmyFNyhjwlZ8hTcoY8JWfIU2KGV56SM+QpOUOekjPkKTnDhmHafblHvwBDnpIz5Ck5Q56SP1N4SszQPfoFGPKUnCFPyRnylJxhwzBmyFNyhjwlZ8hTcoY8JWfIU2KG7tEvwJCn5Ax5Stx9uUe/AMOGYcyQp+QMeUr+TOEpOUOekjPkKTFD9+gXYMhTcoY8JWfIU3KGDcOYIU/JGfKUnCFPyRnylJwhT0kZ3tyjj7uvm3v0CzDkKTlDnpIzbBjGzxSekjPkKTlDnpIz5Ck5Q54SM3SPfgGGPCVnyFNyhjwlZ9gwjBnylJwhT8kZ8pScIU+Juy/36HOG7tEvwJCn5Ax5SvxMcY9+AYYNw5ghT8kZ8pScIU/JGfKUnCFPiRm6R78AQ56SM+QpOUOekjNsGMYMeUrOkKfE3Zd79Asw5Ck5Q54SM3SPPn+muEe/AEOekjPkKTnDhmHMkKfkDHlKzpCn5Ax5Ss6Qp8QM3aNfgCFPyRnylJwhT8kZNgzT7ss9+gUY8pScIU/JGfKU/JnCU2KG7tEvwJCn5Ax5Ss6Qp+QMG4YxQ56SM+QpOUOekjPkKTlDnhIzdI9+AYY8JWfIU+Luyz36BRg2DGOGPCVnyFPyZwpPyRnylJwhT4kZuke/AEOekjPkKTlDnpIzbBjGDHlKzpCn5Ax5Ss6Qp+QMeUrM0D36vPtyj34BhjwlZ8hTcoYNw/iZwlNyhjwlZ8hTcoY8JWfIU1KGd/foF2DIU3KGPCVnyFNyhg3DmCFPyRnylJwhT8kZ8pS0+7q7R58zdI9+AYY8JWfIU+Jninv0CzBsGMYMeUrOkKfkDHlKzpCn5Ax5SszQPfoFGPKUnCFPyRnylJxhwzBmyFNyhjwl7r7co1+AIU/JGfKUmKF79PkzxT36BRjylJwhT8kZNgxjhjwlZ8hTcoY8JWfIU3KGPCVm6B79Agx5Ss6Qp+QMeUrOsGGYdl/u0S/AkKfkDHlKzpCn5M8UnhIzdI9+AYY8JWfIU3KGPCVn2DCMGfKUnCFPyRnylJwhT8kZ8pSYoXv0CzDkKTlDnhJ3X+7RL8CwYRgz5Ck5Q56SP1N4Ss6Qp+QMeUrM0D36BRjylJwhT8kZ8pScYcMwZshTcoY8JWfIU3KGPCVnyFNihu7R592Xe/QLMOQpOUOekjNsGMbPFJ6SM+QpOUOekjPkKTlDnhIzdI9+AYY8JWfIU3KGPCVn2DCMGfKUnCFPyRnylJwhT4m7L/foY4YP9+gXYMhTcoY8JX2mPNyjX4BhwzBmyFNyhjwlZ8hTcoY8JWfIU2KG7tEvwJCn5Ax5Ss6Qp+QMG4YxQ56SM+QpcfflHv0CDHlKzpCnxAzdo8+fKe7RL8CQp+QMeUrOsGEYM+QpOUOekjPkKTlDnpIz5CkxQ/foF2DIU3KGPCVnyFNyhg3DtPtyj34BhjwlZ8hTcoY8JX+m8JSYoXv0CzDkKTlDnpIz5Ck5w4ZhzJCn5Ax5Ss6Qp+QMeUrOkKfEDN2jX4AhT8kZ8pS4+3KPfgGGDcOYIU/JGfKU/JnCU3KGPCVnyFNihu7RL8CQp+QMeUrOkKfkDBuGMUOekjPkKTlDnpIz5Ck5Q54SM3SPPu++3KNfgCFPyRnylJxhwzB+pvCUnCFPyRnylJwhT8kZ8pSYoXv0CzDkKTlDnpIz5Ck5w4ZhzJCn5Ax5Ss6Qp+QMeUrcfblHnzN0j34BhjwlZ8hT4meKe/QLMGwYxgx5Ss6Qp+QMeUrOkKfkDHlKyPB+cI9+AYY8JWfIU3KGPCVn2DCMGfKUnCFPCbuvXwx5Ss6Qp+QMeUrM0D36/JniHv0CDHlKzpCn5AwbhjFDnpIz5Ck5Q56SM+QpOUOeEjN0j34BhjwlZ8hTcoY8JWfYMEy7L/foF2DIU3KGPCVnyFPyZwpPiRm6R78AQ56SM+QpOUOekjNsGMYMeUrOkKfkDHlKzpCn5Ax5SszQPfoFGPKUnCFPibsv9+gXYNgwjBnylJwhT8mfKTwlZ8hTcoY8JWboHv0CDHlKzpCn5Ax5Ss6wYRgz5Ck5Q56SM+QpOUOekjPkKTFD9+jz7ss9+gUY8pScIU/JGTYM42cKT8kZ8pScIU/JGfKUnCFPiRm6R78AQ56SM+QpOUOekjNsGMYMeUrOkKfkDHlKzpCnxN2Xe/Q5Q/foF2DIU+I/D92jX4AhT8kZNgxjhjwlZ8hTcoY8Jd9teErOkKfEDN2jz/88dI9+AYY8JWfIU3KGDcOYIU/JGfKUfLfhKTlDnpIz5Ckpw6N79PEz5ege/QIMeUrOkKfkDBuGMUOekjPkKTlDnpIz5Ck5Q54SM3SPfgGGPOU9w/vpm8b9fBgZ7tNTLqfvybq087tPnw/nr0+fj4+fDMcP//qVvz58ObXjCHyfUvNB4A3wdYHvU5c+CHyfbvVB4PsUsQ8C36e1fRD4PhXvc8BP+/TBDwLfpzx+EDjTXBk401wZeAN8XeBMc2XgTHNl4ExzZeBMc2XgTHNd4GemuTJwprkycKa5MnCmuTLwBvi6wJnmysCZ5srAmebKwJnmysCZ5rrAG9NcGTjTXBk401wZONNcGXgDfF3gTHNl4ExzZeBMc2XgTHNl4ExzXeAXprkycKa5MnCmuTJwprky8Ab4usCZ5srAmebKwJnmysCZ5srAmea6wK9Mc2XgTPM98Dcvxb2Sx5whH8wZNgxjhqztPcM3L467ErGcIbfKGdKlnCEDihneSE38XL7xlJwhT8kZ8pScYcMwfqbwlJwhT8kZ8pScIU/JGfKUmOGdp+QMeUrOkKfkDHlKzrBhGDPkKTlDnpIz5Ck5Q54Sd193nhIzfPCUnCFPyRnylPiZ8uApOcOGYcyQp+QMeUrOkKfkDHlKzpCnpAxPB56SM+QpOUOekjPkKTnDhmHMkKfkDHlK2n2dDjwlZ8hTcoY8JWZ45CnxM+XIU3KGPCVnyFNyhg3DmCFPyRnylJwhT8kZ8pScIU+JGZ54Ss6Qp+QMeUrOkKfkDBuGafd14ik5Q56SM+QpOUOekj9TeErM8MxTcoY8JWfIU3KGPCVn2DCMGfKUnCFPyRnylJwhT8kZ8pSYYeMpOUOekjPkKXH31XhKzrBhGDPkKTlDnpI/U3hKzpCn5Ax5SszwwlNyhjwlZ8hTcoY8JWfYMIwZ8pScIU/JGfKUnCFPyRnylJih4/V59+Ue/QIMeUrOkKfkDBuG8TOFp+QMeUrOkKfkDHlKzpCnxAzdo1+AIU/JGfKUnCFPyRk2DGOGPCVnyFNyhjwlZ8hT4u7LPfqcoXv0CzDkKTlDnhI/U9yjX4BhwzBmyFNyhjwlZ8hTcoY8JWfIU2KG7tEvwJCn5Ax5Ss6Qp+QMG4YxQ56SM+QpcfflHv0CDHlKzpCnpAzP7tHHz5Sze/QLMOQpOUOekjNsGMYMeUrOkKfkDHlKzpCn5Ax5SszQPfoFGPKUnCFPyRnylJxhwzDtvtyjX4AhT8kZ8pScIU/Jnyk8JWboHv0CDHlKzpCn5Ax5Ss6wYRgz5Ck5Q56SM+QpOUOekjPkKTFD9+gXYMhTcoY8Je6+3KNfgGHDMGbIU3KGPCV/pvCUnCFPyRnylJihe/QLMOQpOUOekjPkKTnDhmHMkKfkDHlKzpCn5Ax5Ss6Qp8QM3aPPuy/36BdgyFNyhjwlZ9gwjJ8pPCVnyFNyhjwlZ8hTcoY8JWboHv0CDHlKzpCn5Ax5Ss6wYRgz5Ck5Q56SM+QpOUOeEndf7tHnDN2jX4AhT8kZ8pT4meIe/QIMG4YxQ56SM+QpOUOekjPkKTlDnhIzdI9+AYY8JWfIU3KGPCVn2DCMGfKUnCFPibsv9+gXYMhTcoY8JWboHn3+THGPfgGGPCVnyFNyhg3DmCFPyRnylJwhT8kZ8pScIU9JGTb36BdgyFNyhjwlZ8hTcoYNw7D7au7RL8CQp+QMeUrOkKfkzxSeEjN0j34BhjwlZ8hTcoY8JWfYMIwZ8pScIU/JGfKUnCFPyRnylJihe/QLMOQpOUOeEndf7tEvwLBhGDPkKTlDnpI/U3hKzpCn5Ax5SszQPfoFGPKUnCFPyRnylJxhwzBmyFNyhjwlZ8hTcoY8JWfIU2KG7tHn3Zd79Asw5Ck5Q56SM2wYxs8UnpIz5Ck5Q56SM+QpOUOeEjN0j34BhjwlZ8hTcoY8JWfYMIwZ8pScIU/JGfKUnCFPibsv9+hzhu7RL8CQp+QMeUr8THGPfgGGDcOYIU/JGfKUnCFPyRnylJwhT4kZuke/AEOekjPkKTlDnpIzbBjGDHlKzpCnxN2Xe/QLMOQpOUOeEjN0jz5/prhHvwBDnpIz5Ck5w4ZhzJCn5Ax5Ss6Qp+QMeUrOkKfEDN2jX4AhT8kZ8pScIU/JGTYM0+7LPfoFGPKUnCFPyRnylPyZwlNShhf36BdgyFNyhjwlZ8hTcoYNw5ghT8kZ8pScIU/JGfKUnCFPiRm6R78AQ56SM+Qpafd1cY9+AYYNw5ghT8kZ8pT8mcJTcoY8JWfIU2KG7tEvwJCn5Ax5Ss6Qp+QMG4YxQ56SM+QpOUOekjPkKTlDnhIzdI8+777co1+AIU/JGfKUnGHDMH6m8JScIU/JGfKUnCFPyRnylJihe/QLMOQpOUOekjPkKTnDhmHMkKfkDHlKzpCn5Ax5Stx9uUefM3SPfgGGPCVnyFPiZ4p79AswbBjGDHlKzpCn5Ax5Ss6Qp+QMeUrM0D36BRjylJwhT8kZ8pScYcMwZshTcoY8Je6+3KNfgCFPyRnylJihe/T5M8U9+gUY8pScIU/JGTYMY4Y8JWfIU3KGPCVnyFNyhjwlZuge/QIMeUrOkKfkDHlKzrBhmHZf7tEvwJCn5Ax5Ss6Qp+TPFJ4SM3SPfgGGPCVnyFNyhjwlZ9gwjBnylJwhT8kZ8pScIU/JGfKUlOHVPfoFGPKUnCFPSbuvq3v0CzBsGMYMeUrOkKfkzxSekjPkKTlDnhIzdI9+AYY8JWfIU3KGPCVn2DCMGfKUnCFPyRnylJwhT8kZ8pSYoXv0efflHv0CDHlKzpCn5AwbhvEzhafkDHlKzpCn5Ax5Ss6Qp8QM3aNfgCFPyRnylJwhT8kZNgxjhjwlZ8hTcoY8JWfIU+Luyz36nKF79Asw5Ck5Q54SP1Pco1+AYcMwZshTcoY8JWfIU3KGPCVnyFNihu7RL8CQp+QMeUrOkKfkDBuGMUOekjPkKXH35R79Agx5Ss6Qp8QM3aPPnynu0S/AkKfkDHlKzrBhGDPkKTlDnpIz5Ck5Q56SM+QpMUP36BdgyFNyhjwlZ8hTcoYNw7T7co9+AYY8JWfIU/I/D3lKzpCnxAzdo1+AIU/JGfKUnCFPiXcb9+gXYMhTcoY8Jf/zkKfkDHlKzpCnxAzdo1+AIU/JGfKUeLdxj34Bhg3DmCFPyRnylPyZwlNyhjwlZ8hTUoY39+gXYMhTcoY8JWfIU3KGDcOYIU/JGfKUnCFPec/wfvqmcT8fRoY79ZT7N8Prsb379Plw/vr0+fj4yXD88K90vj58ObXjCHynUvMx4Hu9dP854DvVpc8B36lbfQ74TkXsc8Ab4OsC36nifQ74Tn3wc8B3Ko+fA840VwbONNcFfmKaKwNnmisDZ5orA2eaKwNvgK8LnGmuDJxprgycaa4MnGmuDJxprgv8zDRXBs40VwbONFcGzjRXBt4AXxc401wZONNcGTjTXBk401wZONNcF3hjmisDZ5orA2eaKwNnmisDb4CvC5xprgycaa4MnGmuDJxprgycaa4L/MI0VwbONFcGzjRXBs40VwbeAF8XONNcGTjTXBk403wP/Pcvxb1dyGPOkA/GDK8UL2fI2t4zfPPiuCsRyxlyq5xhwzBmyIByhqQmfy7zlJwhT8kZ8pSY4Y2nxM+UG0/JGfKUnCFPyRk2DGOGPCVnyFNyhjwlZ8hTcoY8JWZ45yk5Q56SM+QpOUOekjNsGKbd152n5Ax5Ss6Qp+QMeUr+TOEpMcMHT8kZ8pScIU/JGfKUnGHDMGbIU3KGPCVnyFNyhjwlZ8hTUob3A0/JGfKUnCFPSbuv+4Gn5AwbhjFDnpIz5Cn5M4Wn5Ax5Ss6Qp8QMjzwlZ8hTcoY8JWfIU3KGDcOYIU/JGfKUnCFPyRnylJwhT4kZnnhK3H2deErOkKfkDHlKzrBhGD9TeErOkKfkDHlKzpCn5Ax5SszwzFNyhjwlZ8hTcoY8JWfYMIwZ8pScIU/JGfKUnCFPibuvM0+JGTaekjPkKTlDnhI/UxpPyRk2DGOGPCVnyFNyhjwlZ8hTcoY8JWZ44Sk5Q56SM+QpOUOekjNsGMYMeUrOkKfE3Zd79Asw5Ck5Q54SM3SPPn+muEe/AEOekjPkKTnDhmHMkKfkDHlKzpCn5Ax5Ss6Qp8QM3aNfgCFPyRnylJwhT8kZNgzT7ss9+gUY8pScIU/JGfKU/JnCU2KG7tEvwJCn5Ax5Ss6Qp+QMG4YxQ56SM+QpOUOekjPkKTlDnhIzdI9+AYY8JWfIU+Luyz36BRg2DGOGPCVnyFPyZwpPyRnylJwhT0kZPtyjX4AhT8kZ8pScIU/JGTYMY4Y8JWfIU3KGPCVnyFNyhjwlZugefdx9PdyjX4AhT8kZ8pScYcMwfqbwlJwhT8kZ8pScIU/JGfKUmKF79Asw5Ck5Q56SM+QpOcOGYcyQp+QMeUrOkKfkDHlK3H25R58zdI9+AYY8JWfIU+Jninv0CzBsGMYMeUrOkKfkDHlKzpCn5Ax5SszQPfoFGPKUnCFPyRnylJxhwzBmyFNyhjwl7r7co1+AIU/JGfKUmKF79PkzxT36BRjylJwhT8kZNgxjhjwlZ8hTcoY8JWfIU3KGPCVm6B79Agx5Ss6Qp+QMeUrOsGGYdl/u0S/AkKfkDHlKzpCn5M8UnhIzdI9+AYY8JWfIU3KGPCVn2DCMGfKUnCFPyRnylJwhT8kZ8pSYoXv0CzDkKTlDnhJ3X+7RL8CwYRgz5Ck5Q56SP1N4Ss6Qp+QMeUrM0D36BRjylJwhT8kZ8pScYcMwZshTcoY8JWfIU3KGPCVnyFNCho+De/Rp9/WLIU/JGfKUnCFPyRk2DONnCk/JGfKUnCFPyRnylJwhT4kZuke/AEOekjPkKTlDnpIzbBjGDHlKzpCn5Ax5Ss6Qp8Tdl3v0OUP36BdgyFNyhjwlfqa4R78Aw4ZhzJCn5Ax5Ss6Qp+QMeUrOkKfEDN2jX4AhT8kZ8pScIU/JGTYMY4Y8JWfIU+Luyz36BRjylJwhT4kZukefP1Pco1+AIU/JGfKUnGHDMGbIU3KGPCVnyFNyhjwlZ8hTYobu0S/AkKfkDHlKzpCn5Awbhmn35R79Agx5Ss6Qp+QMeUr+TOEpMUP36BdgyFNyhjwlZ8hTcoYNw5ghT8kZ8pScIU/JGfKUnCFPiRm6R78AQ56SM+QpcfflHv0CDBuGMUOekjPkKfkzhafkDHlKzpCnxAzdo1+AIU/JGfKUnCFPyRk2DGOGPCVnyFNyhjwlZ8hTcoY8JWboHn3efblHvwBDnpIz5Ck5w4Zh/EzhKTlDnpIz5Ck5Q56SM+QpKcOje/QLMOQpOUOekjPkKTnDhmHMkKfkDHlKzpCn5Ax5Stp9Hd2jzxm6R78AQ56SM+Qp8TPFPfoFGDYMY4Y8JWfIU3KGPCVnyFNyhjwlZuge/QIMeUrOkKfkDHlKzrBhGDPkKTlDnhJ3X+7RL8CQp+QMeUrM0D36/JniHv0CDHlKzpCn5AwbhjFDnpIz5Ck5Q56SM+QpOUOeEjN0j34BhjwlZ8hTcoY8JWfYMEy7L/foF2DIU3KGPCVnyFPyZwpPiRm6R78AQ56SM+QpOUOekjNsGMYMeUrOkKfkDHlKzpCn5Ax5SszQPfoFGPKUnCFPibsv9+gXYNgwjBnylJwhT8mfKTwlZ8hTcoY8JWboHv0CDHlKzpCn5Ax5Ss6wYRgz5Ck5Q56SM+QpOUOekjPkKTFD9+jz7ss9+gUY8pScIU/JGTYM42cKT8kZ8pScIU/JGfKUnCFPiRm6R78AQ56SM+QpOUOekjNsGMYMeUrOkKfkDHlKzpCnxN2Xe/Qxw5N79Asw5Ck5Q57y/2/v3HYj2bLr+i961kNc1o6L/6VhSIJhNNDoNqS2AcPofzfrnMrLKQYZnbFWTs5kjBdJB8qdDI6xqyLGYhZ39p4ycB59AcOAYZohnZJnSKfkGdIpeYZ0Sp4hnZJmyHn0BQzplDxDOiXPkE7JMwwYphnSKXmGdEp69sV59AUM6ZQ8QzolzZDz6PP3FM6jL2BIp+QZ0il5hgHDNEM6Jc+QTskzpFPyDOmUPEM6Jc2Q8+gLGNIpeYZ0Sp4hnZJnGDDMzr44j76AIZ2SZ0in5BnSKfl7Cp2SZsh59AUM6ZQ8Qzolz5BOyTMMGKYZ0il5hnRKniGdkmdIp+QZ0ilphpxHX8CQTskzpFPSsy/Ooy9gGDBMM6RT8gzplPw9hU7JM6RT8gzplDRDzqMvYEin5BnSKXmGdEqeYcAwzZBOyTOkU/IM6ZQ8Qzolz5BOSTPkPPr87Ivz6AsY0il5hnRK/u/DgGGaIZ2SZ0in5BnSKXmGdEqeIZ2SfrbhPPoChnRKniGdkv77kPPoCxgGDNMM6ZQ8Qzolz5BOyTOkU/LPNnRKmiHn0RcwpFPyDOmU9D2F8+gLGAYM0wzplDxDOiXPkE7JM6RT8gzplCzDkfPoCxjSKXmGdEqeIZ2yz3AZrjSWsXvPME7JcGpxZbi2nVcv0+Wtl+Xuncf2E+E5M+UhhOt0efG6dH9AuPHOb3+wL+889uv9ln3/4vb2bf18cRuif7+/z9k/LyLnnGH1InLOWWwvIuecKfgacvpzNuaLyDlnvL6InHNW8YvIOWduv4icQI6vHCYExnKYEBjLYUJgLIcJgbEcJgS+cgYmBMZymBAYy2FCYCyHCYGxnECOrxwmBMZymBAYy2FCYCyHCYGxHCYEvnJGJgTGcpgQGMthQmAshwmBsZxAjq8cJgTGcpgQGMthQmAshwmBsRwmBL5yggmBsRwmBMZymBAYy2FCYCwnkOMrhwmBsRwmBMZymBAYy2FCYCyHCYGvnMaEwFgOEwJjOUwIjOUwITCWE8jxlcOEoFbO54dRjI3o1/Km47W8SXMtb2q7lvfOL5ieCGgtb5pYy5vM1fKmXLW8A97K55OJvtTypi+1vOlLLW/6Unu/pC+lvGf6UsubvtTypi+1vOlLLe+At5Q3fanlTV9qedOXWt70pZY3fSnlvdCXWt70pZY3fSmdxy70pZZ3wFvKm77U8qYvtfdL+lLLm77U8qYvpbxX+lLLm77U8qYvtbzpSy3vgLeUN32p5U1fannTl1re9KWWN32p5B0dfamcx0ZHX2p505da3vSllnfAW3q/pC+1vOlLLW/6UsubvtTypi+lvHv6UsubvtTypi+1vOlLLe+At5Q3fanlTV9qedOXWt70pXQe29OXUt4DfanlTV9qedOX0vvlQF9qeQe8pbzpSy1v+lLLm77U8qYvtbzpSynvkb7U8qYvtbzpSy1v+lLLO+At5U1fannTl9J57EhfannTl1re9KWUd9CX0vtl0Jda3vSlljd9qeUd8Jbypi+1vOlLLW/6UsubvtTypi+lvBt9qeVNX2p505da3vSllnfAWzmPbfSlljd9qeVNX2p505fa+yV9KeU90Zda3vSlljd9qeVNX2p5B7ylvOlLLW/6UsubvtTypi+1vOlLKe+ZvtTypi+1vOlL6Tx2pi+1vAPeUt70pZY3fam9X9KXWt70pZY3fSnlvdCXWt70pZY3fanlTV9qeQe8pbzpSy1v+lLLm77U8qYvtbzpSynvlb6UzmNX+lLLm77U8qYvtbwD3tL7JX2p5U1fannTl1re9KWWN32p5N06+lLLm77U8qYvtbzpSy3vgLeUN32p5U1fannTl1re9KVyHts6+lLKu6cvtbzpSy1v+lJ6v+zpSy3vgLeUN32p5U1fannTl1re9KWWN30p5T3Ql1re9KWWN32p5U1fankHvKW86Ustb/pSOo8d6Estb/pSy5u+lPIe6Uvp/XKkL7W86Ustb/pSyzvgLeVNX2p505da3vSlljd9qeVNX0p5B32p5U1fannTl1re9KWWd8BbOY8N+lLLm77U8qYvtbzpS+39kr6U8m70pZY3fanlTV9qedOXWt4Bbylv+lLLm77U8qYvtbzpSy1v+lLKe6IvtbzpSy1v+lI6j53oSy3vgLeUN32p5U1fau+X9KWWN32p5U1fSnnP9KWWN32p5U1fannTl1reAW8pb/pSy5u+1PKmL7W86Ustb/pSynuhL6Xz2IW+1PKmL7W86Ust74C39H5JX2p505da3vSlljd9qeVNX0p5r/Slljd9qeVNX2p505da3gFvKW/6UsubvtTypi+1vOlL6Tx2pS+VvKeOvtTypi+1vOlL5f1y6uhLLe+At5Q3fanlTV9qedOXWt70pZY3fSnl3dOXWt70pZY3fanlTV9qeQe8pbzpSy1v+lI6j+3pSy1v+lLLm76U8h7oS+n9cqAvtbzpSy1v+lLLO+At5U1fannTl1re9KWWN32p5U1fSnmP9KWWN32p5U1fannTl1reAW/lPHakL7W86Ustb/pSy5u+1N4v6Usp76AvtbzpSy1v+lLLm77U8g54S3nTl1re9KWWN32p5U1fannTl1Lejb7U8qYvtbzpS+k8ttGXWt4Bbylv+lLLm77U3i/pSy1v+lLLm76U8p7oSy1v+lLLm77U8qYvtbwD3lLe9KWWN32p5U1fannTl1re9KWU90xfSuexM32p5U1fannTl1reAW/p/ZK+1PKmL7W86Ustb/pSy5u+lPJe6Estb/pSy5u+1PKmL7W8A95S3vSlljd9qeVNX2p505fSeexCX0p5r/Slljd9qeVNX0rvlyt9qeUd8Jbypi+1vOlLLW/6UsubvtTypi+VvOeOvtTypi+1vOlLLW/6Uss74C3lTV9qedOXynns3NGXWt70pZY3fSnl3dOX0vtlT19qedOXWt70pZZ3wFvKm77U8qYvtbzpSy1v+lLLm76U8h7oSy1v+lLLm77U8qYvtbwD3sp57EBfannTl1re9KWWN32pvV/Sl1LeI32p5U1fannTl1re9KWWd8Bbypu+1PKmL7W86Ustb/pSy5u+lPIO+lLLm77U8qYvpfPYoC+1vAPeUt70pZY3fam9X9KXWt70pZY3fSnl3ehLLW/6UsubvtTypi+1vAPeUt70pZY3fanlTV9qedOXWt70pZT3RF9K57ETfanlTV9qedOXWt4Bb+n9kr7U8qYvtbzpSy1v+lLLm76U8p7pSy1v+lLLm77U8qYvtbwD3lLe9KWWN32p5U1fannTl9J57ExfSnkv9KWWN32p5U1fSu+XC32p5R3wlvKmL7W86Ustb/pSy5u+1PKmL6W8V/pSy5u+1PKmL7W86Ust74C3lDd9qeVNX0rnsSt9qeVNX2p505dK3ktHXyrvl0tHX2p505da3vSllnfAW8qbvtTypi+1vOlLLW/6UsubvpTy7ulLLW/6UsubvtTypi+1vAPeynlsT19qedOXWt70pZY3fam9X9KXUt4DfanlTV9qedOXWt70pZZ3wFvKm77U8qYvtbzpSy1v+lLLm76U8h7pSy1v+lLLm76UzmNH+lLLO+At5U1fannTl9r7JX2p5U1fannTl1LeQV9qedOXWt70pZY3fanlHfCW8qYvtbzpSy1v+lLLm77U8qYvpbwbfSmdxzb6UsubvtTypi+1vAPe0vslfanlTV9qedOXWt70pZY3fSnlPdGXWt70pZY3fanlTV9qeQe8pbzpSy1v+lLLm77U8qYvpfPYib6U8p7pSy1v+lL69/dMX2p505da3gFvKW/6UsubvtTypi+1z4P0pZY3fSnlvdCX0r+/F/pSy5u+1PKmL7W8A95S3vSlljd9qX0epC+1vOlLLW/6Usp7pS+l98uVvtTypi+1vOlLLe+At5Q3fanlTV9qedOXWt70pZY3fankvXb0pZY3fVnLexmu5Jaxe8+bvtzl3cd4mUH10aYd4tM4XF49jRH3xLfYTRfQbxhvbz1svfM49uvlxePQ7l/8u0va9fu4DFx+G5c09/dxSc+/jsuIC70x2vLeJbOC7+OSOcQLuZyvpGMdPn/x8PYz9cuLu67beXG0dvES8/L5i1t3eW0b+/dhxKCFDVW5oXomSWyot120Xt55aEOX2lCMythQpRuKWSAb6r8N83ihN8xz23lxF5dv8A16pHYf00t239ftvmD3sfse3H3zZVQ49N2Q2n1MiNl9X7f7mGl/z903dkNcd9+4887DuFx3X3Tj/Yt/3yVMy9klpQMxRvZsqNINxcieDVW5oQZG9myoygnrwMieDVW6oRjZs6Heru26SYbpfpf8TLeB0Tq7ZH+XBLuEXbK7SxhVs0v2dwkjZXbJYz/Q6JerxH7t38+fB+bPbKniLcUEmi31ZR85GRhXs/u+bPeNzLbZfV+3+xiEs/u+7ANPI1Nzdt/X7T6m8d909/XX3200/nahmTYdg13CLtndJUzj2SWlD+YM7tlQpRuKsT0bqnRDMbRnQ5X2GHN4NlTlhgpG66+zoVobLy9u086/FnjsX3Pu/Hu6YATOLqn81yrBVJsNVbqhGFSzoUo3VLCh2FCF//wpGH+zoUo3FONvNtTuv24IZtrskv1dwqCaXbK/S5g+s0t2d0ljpMwuqf3HT435M1uqeEsxgWZLfdm/KWmMq9l9X7f7gt3H7vuy3ccgnN33Zf+iqTE1Z/d93e5jGv89d99X/drfxuCeDVW6oZjxs6EqP6Yw8eMANlTphuKHAWyoL5teTPzcgN33dbuPnxuw+75sejEFu4/d92W7j58bfNPdV/lbhibm++yS/V3CHJ5dUvpgzhyeDVW6oZjDs6EqN9TMHJ4NVdljM3N4NlTphmK0vr+hlivCfhn6P2yo3yEyIS6AGEDMQ2ReVwCRcdZjEPvYgMi0pwAiE44CiFR9HuJCyRZApN7yd+eFYimASLEUQAwg5iFSLAUQKZYCiBRLAUSKpQAixZKHuFIsBRAplgKIFEvqh3a/Q6RYCiAGEPMQKZYCiBRLAcRzFsvaX64j1uj+8OrfsZyzQXaxnLMqPsfy9r+6c4bCPpdzPvvvcznn4/w+l3M+oe9zCbhscjnnc/Q+l3M+Gu9z4Wl3mwuPu9tceN7d5NLzvLvNhefdbS48725z4Xl3m0vAZZMLz7vbXHje3ebC8+42F553t7nwvLvJZeB5d5sLz7vbXHje3ebC8+42l4DLJheed7e58Ly7zYXn3W0up3zebd14eevWz93Oq/tuWK9v/rZyvb5+/PEP8d6/ProLvT6G+fbqzRf3/fUDnv3dLwR6e/FPQ6d88n4lQ+MpG+ClDJ2yRh41NI7jzVDMe4aW+fobOZe7azlo6JRd9FKGTlloL2UoTm9oGfaeiMfuIijG/nYX2vyNbO3tUi9vPcSvv9/sB/FTVuiXEj9l334p8VOW85cSp8nVxGlsMfGgmdXEaWA1cZpWTZxGVRMPiIuJ05xq4jSnmjjNqSZOc6qJ05xi4o3mVBOnOdXEaU41cZpTTTwgLiZOc6qJ05xq4jSnmjjNqSZOc4qJTzSnmjjNqSZOc6qJ05xq4gFxMXGaU02c5lQTpznVxGlONXGaU0x8pjnVxGlONXGaU02c5lQTD4iLidOcauI0p5o4zakmTnOqidOcYuILzakmTnOqidOcauI05z7xqV0O8oxpmjcgBhDzECnDAojEXgFE+m0f4txdf+/t3G9BJMkKIFJZeYgr4VQAkRYqgEje5O/OK8VSADGAmIdIsRRApFgKbiwUSwFEiqUAIsWShvi2Coh5iBRLAUSKpQAixVIAMYCYh0ixFECkWAogUiwFECmWAogUSx5iT7GkR2F9T7EUQKRYCiBSLAUQA4j5GwvFUgCRYimASLEUQKRYCiBSLHmIA8VSAJFiKYBIsRRApFgKIAYQ8xAplgKIFEsBRIqlACLFkh+FDRRLHuJIsRRApFgKIFIs+RvLSLEUQAwg5iFSLAUQKZYCiBRLAUSKpQAixZKHGBRLAUSKpQAixVIAkWIpgBhAzEOkWAogUiz5UVhQLAUQKZYCiBRLHmKjWPI3lkaxFECkWAogUiwFEAOIeYgUSwFEiqUAIsVSAJFiKYBIseQhThRLAUSKpQAixVIAkWIpgBhATI/CJoqlACLFUgCRYimASLEU3FgoljzEmWIpgEixFECkWAogUiwFEAOIeYgUSwFEiqUAIsWy5CFSLAUQKZY8xIViKYBIsRRApFjyozDOvK+AGEDMQ6RYCiBSLAU3FoqlACLFUgCRYslD5Mz7CogUSwFEiqUAIsVSADGAmIdIsRRApFgKIFIsBRAplgKIFEsa4sCZ9/lR2MCZ9xUQKZYCiBRLAcQAYv7GQrEUQKRYCiBSLAUQKZYCiBRLHiJn3ldApFgKIFIsBRAplgKIAcQ8RIqlACLFUgCRYimASLHkR2GceV8AkTPvKyBSLAUQKZb8jYUz7ysgBhDzECmWAogUSwFEiqUAIsVSAJFiyUPkzPsKiBRLAUSKpQAixVIAMYCYh0ixFECkWPKjMM68r4BIsRRApFjyEDnzvuDGwpn3FRAplgKIFEsBxABiHiLFUgCRYimASLEUQKRYCiBSLHmInHlfAZFiKYBIsRRApFgKIAYQ06MwzryvgEixFECkWAogUiwFNxaKJQ+RM+8rIFIsBRAplgKIFEsBxABiHiLFUgCRYimASLEUQKRYCiBSLHmInHlfAZFiKYBIseRHYZx5XwExgJiHSLEUQKRYCm4sFEsBRIqlACLFkofImfcVECmWAogUSwFEiqUAYgAxD5FiKYBIsRRApFgKIFIsBRApljxEzrwvGIVx5n0FRIqlACLFUgAxgJi/sVAsBRAplgKIFEsBRIqlACLFkoY4cuZ9BUSKpQAixVIAkWIpgBhAzEOkWAogUiwFECmWAogUS3oUNnLmfQFEzryvgEixFECkWPI3Fs68r4AYQMxDpFgKIFIsBRAplgKIFEsBRIolD5Ez7ysgUiwFECmWAogUSwHEAGIeIsVSAJFiyY/COPO+AiLFUgCRYslD5Mz7ghsLZ95XQKRYCiBSLAUQA4h5iBRLAUSKpQAixVIAkWIpgEix5CFy5n0FRIqlACLFUgCRYimAGEBMj8I4874CIsVSAJFiKYBIsRTcWCiWPETOvK+ASLEUQKRYCiBSLAUQA4h5iBRLAUSKpQAixVIAkWIpgEix5CFy5n0FRIqlACLFkh+FceZ9BcQAYh4ixVIAkWIpuLFQLAUQKZYCiBRLHiJn3ldApFgKIFIsBRAplgKIAcQ8RIqlACLFUgCRYimASLEUQKRY8hA5875gFMaZ9xUQKZYCiBRLAcQAYv7GQrEUQKRYCiBSLAUQKZYCiBRLHiJn3ldApFgKIFIsBRAplgKIAcQ8RIqlACLFUgCRYimASLHkR2GceZ+HGJx5XwGRYimASLGkbyzBmfcVEAOIeYgUSwFEiqUAIsVSAJFiKYBIseQhcuZ9BUSKpQAixVIAkWIpgBhAzEOkWAogUiz5URhn3ldApFgKIFIseYiceV9wY+HM+wqIFEsBRIqlAGIAMQ+RYimASLEUQKRYCiBSLAUQKZY8RM68r4BIsRRApFgKIFIsBRADiOlRGGfeV0CkWAogUiwFECmWghsLxZKHyJn3FRAplgKIFEsBRIqlAGIAMQ+RYimASLEUQKRYCiBSLAUQKZY8RM68r4BIsRRApFjyozDOvK+AGEDMQ6RYCiBSLAU3FoqlACLFUgCRYslD5Mz7CogUSwFEiqUAIsVSADGAmIdIsRRApFgKIFIsBRAplgKIFEseImfeF4zCOPO+AiLFUgCRYimAGEDM31golgKIFEsBRIqlACLFUgCRYslD5Mz7CogUSwFEiqUAIsVSADGAmIdIsRRApFgKIFIsBRAplvwojDPvCyBy5n0FRIqlACLFkr+xcOZ9BcQAYh4ixVIAkWIpgEixFECkWAogUixpiI0z7ysgUiwFECmWAogUSwHEAGIeIsVSAJFiSY/CGmfeV0CkWAogUix5iJx5X3Bj4cz7CogUSwFEiqUAYgAxD5FiKYBIsRRApFgKIFIsBRApljxEzryvgEixFECkWAogUiwFEAOI6VEYZ95XQKRYCiBSLAUQKZaCGwvFkofImfcVECmWAogUSwFEiqUAYgAxD5FiKYBIsRRApFgKIFIsBRApljxEzryvgEixFECkWPKjMM68r4AYQMxDpFgKIFIsBTcWiqUAIsVSAJFiyUPkzPsKiBRLAUSKpQAixVIAMYCYh0ixFECkWAogUiwFECmWAogUSx4iZ94XjMI4874CIsVSAJFiKYAYQMzfWCiWAogUSwFEiqUAIsVSAJFiyUPkzPsKiBRLAUSKpQAixVIAMYCYh0ixFECkWAogUiwFECmW/CiMM+8LIHLmfQVEiqUAIsWSv7Fw5n0FxABiHiLFUgCRYimASLEUQKRYCiBSLHmInHlfAZFiKYBIsRRApFgKIAYQ8xAplgKIFEt+FMaZ9xUQKZYCiBRL+u/EiTPvKyBSLAUQKZYCiBRLAcQAYh4ixZJ+xJk4874CIsVSAJFiKfg7kWLJQ+TM+wqIFEsBRIqlACLFUgAxgJh+xOHM+wqIFEsBRIqlACLFUnBjoVjyEDnzvgIixVIAkWIpgEixFEAMIOYhUiwFECmWAogUSwFEiqUAIsWyD3EZrjSWsXsP8aRn3o8RF4jjvP7h1T+5nDNC9rl8l66Irl1eHMO8w2WZLhCX5Y7h2C5UvksoPERlnS6bZV26P1DZ+Ito7MYLi7Ff7/8i2tiGbxd62YZD9Bt/awW8pby/S368Cu/vUiqvwvu7RM2r8P4u/fMqvL9LKr0I7/guVfUqvL9Lrb0K71NW4Bfypi+1vAPeUt70pZY3fanlTV9qedOXWt70pZR3oy+1vOlLLW/6UsubvtTyDnhLedOXWt70pZY3fanlTV9qedOXUt4TfanlTV9qedOXWt70pZZ3wFvKm77U8qYvtbzpSy1v+lLLm76U8p7pSy1v+lLLm77U8qYvtbwD3lLe9KWWN32p5U1fannTl1re9KWU90JfannTl1re9KWWN325x3vvl3QvAcIsQiowjZCwSyOk1fYQ7v3myoX8SiOkqLIIVyIpjZDuSSMkZbJ35JU6SSMMEGYRUidphNRJ+nZCnaQRUidphNRJEuHcUSdphNRJGiF1kkZInaQRBgizCKmTNELqJI2QOkkjpE7SCKmTLMKeOkkOu+aeOkkjpE7SCKmTNMIAYfZ2Qp2kEVInaYTUSRohdZJGSJ1kEQ7USRohdZJGSJ2kEVInaYQBwixC6iSNkDpJI6RO0gipk+ywa6BOsghH6iSNkDpJI6ROsreTkTpJIwwQZhFSJ2mE1EkaIXWSRkidpBFSJ1mEQZ2kEVInaYTUSRohdZJGGCDMIqRO0gipk+ywK6iTNELqJI2QOskibNRJ9nbSqJM0QuokjZA6SSMMEGYRUidphNRJGiF1kkZInaQRUidZhBN1kkZInaQRUidphNRJGmGAMDnsmqiTNELqJI2QOkkjpE7StxPqJItwpk7SCKmTNELqJI2QOkkjDBBmEVInaYTUSRohdZJGSJ2kEVInWYQcWZ9HSJ2kEVIn2WEXZ8XnEQYIswipkzRC6iR9O6FO0gipkzRC6iSLkLPi8wipkzRC6iSNkDpJIwwQZhFSJ2mE1EkaIXWSRkidpBFSJ0mEC2fFZ4ddC2fF5xFSJ2mE1EkaYYAwezuhTtIIqZM0QuokjZA6SSOkTrIIOSs+j5A6SSOkTtIIqZM0wgBhFiF1kkZInaQRUidphNRJdtjFWfFphJwVn0dInaQRUifZ2wlnxecRBgizCKmTNELqJI2QOkkjpE7SCKmTLELOis8jpE7SCKmTNELqJI0wQJhFSJ2kEVIn2WEXZ8XnEVInaYTUSRYhZ8WnbyecFZ9HSJ2kEVInaYQBwixC6iSNkDpJI6RO0gipkzRC6iSLkLPi8wipkzRC6iSNkDpJIwwQJoddnBWfR0idpBFSJ2mE1En6dkKdZBFyVnweIXWSRkidpBFSJ2mEAcIsQuokjZA6SSOkTtIIqZM0Quoki5Cz4vMIqZM0QuokO+zirPg8wgBhFiF1kkZInaRvJ9RJGiF1kkZInWQRclZ8HiF1kkZInaQRUidphAHCLELqJI2QOkkjpE7SCKmTNELqJIuQs+LTwy7Ois8jpE7SCKmTNMIAYfZ2Qp2kEVInaYTUSRohdZJGSJ0kEa6cFZ9HSJ2kEVInaYTUSRphgDCLkDpJI6RO0gipkzRC6iQ57Fo5Kz6NkLPi8wipkzRC6iR7O+Gs+DzCAGEWIXWSRkidpBFSJ2mE1EkaIXWSRchZ8XmE1EkaIXWSRkidpBEGCLMIqZM0QuokO+zirPg8QuokjZA6ySLkrPj07YSz4vMIqZM0QuokjTBAmEVInaQRUidphNRJGiF1kkZInWQRclZ8HiF1kkZInaQRUidphAHC5LCLs+LzCKmTNELqJI2QOknfTqiTLELOis8jpE7SCKmTNELqJI0wQJhFSJ2kEVInaYTUSRohdZJGSJ1kEXJWfB4hdZJGSJ1kh12cFZ9HGCDMIqRO0gipk/TthDpJI6RO0gipkyxCzorPI6RO0gipkzRC6iSNMECYRUidpBFSJ2mE1EkaIXWSRkidZBFyVnx62MVZ8XmE1EkaIXWSRhggzN5OqJM0QuokjZA6SSOkTtIIqZMsQs6KzyOkTtIIqZM0QuokjTBAmEVInaQRUidphNRJGiF1kh12cVZ8EuHbF6BO0gipkzRC6iR3O3n7AtRJGmGAMIuQOkkjpE7SCKmTNELqJI2QOski5Kz4PELqJI2QOkkjpE7SCAOEWYTUSRohdZIddnFWfB4hdZJGSJ1kEXJWfPp2wlnxeYTUSRohdZJGGCDMIqRO0gipkzRC6iSNkDpJI6ROsgg5Kz6PkDpJI6RO0gipkzTCAGFy2MVZ8XmE1EkaIXWSRkidpG8n1EkWIWfF5xFSJ2mE1EkaIXWSRhggzCKkTtIIqZM0QuokjZA6SSOkTrIIOSs+j5A6SSOkTrLDLs6KzyMMEGYRUidphNRJ+nZCnaQRUidphNRJFiFnxecRUidphNRJGiF1kkYYIMwipE7SCKmTNELqJI2QOkkjpE6yCDkrPj3s4qz4PELqJI2QOkkjDBBmbyfUSRohdZJGSJ2kEVInaYTUSRYhZ8XnEVInaYTUSRohdZJGGCDMIqRO0gipkzRC6iSNkDrJDrs4Kz6NkLPi8wipkzRC6iR7O+Gs+DzCAGEWIXWSRkidpBFSJ2mE1EkaIXWSRNhzVnweIXWSRkidpBFSJ2mEAcIsQuokjZA6SQ67es6KzyOkTtIIqZMsQs6KT99OOCs+j5A6SSOkTtIIA4RZhNRJGiF1kkZInaQRUidphNRJFiFnxecRUidphNRJGiF1kkYYIEwOuzgrPo+QOkkjpE7SCKmT9O2EOski5Kz4PELqJI2QOkkjpE7SCAOEWYTUSRohdZJGSJ2kEVInaYTUSRYhZ8XnEVInaYTUSXbYxVnxeYQBwixC6iSNkDpJ306okzRC6iSNkDrJIuSs+DxC6iSNkDpJI6RO0ggDhFmE1EkaIXWSRkidpBFSJ2mE1EkWIWfFp4ddnBWfR0idpBFSJ2mEAcLs7YQ6SSOkTtIIqZM0QuokjZA6ySLkrPg8QuokjZA6SSOkTtIIA4RZhNRJGiF1kkZInaQRUifZYRdnxacRclZ8HiF1kkZInWRvJ5wVn0cYIMwipE7SCKmTNELqJI2QOkkjpE6yCDkrPo+QOkkjpE7SCKmTNMIAYRYhdZJGSJ1kh12cFZ9HSJ2kEVInyb8LB86KzyOkTtIIqZM0QuokjTBAmEVInSQfagbOis8jpE7SCKmT9N+F1EkWIWfF5xFSJ2mE1EkaIXWSRhggTD7UcFZ8HiF1kkZInaQRUifp2wl1kkXIWfF5hNRJGiF1kkZInaQRBgizCKmTNELqJI2QOkkjpE7SCKmTPYTLcGWxjN17hOc8K76Psb++uk07EKdxuLx6GiPuIW7RmC7o3sDc3nrYeudx7NfLi8cfr7i9+KeeU5bP6+g5ZVW9jp5TFtvr6An0fKGeiAuPMdqyoeeUpfk6ek5ZsT565iu7WIfPXzysy/Wdu67beXG0C48h5uXzF7cruzb2G0/3p8x09shDe+SUc4gz7JH18s5DG7rcHjnloIU98sgeCSZJ33OPzON0IT3PbefFXVy+waGbIrehmH2xoUo3FNM6NtTQzZep1NB3Q25DMV9kQ5VuqGBDvciGGrshrhtq3Hnnt8i+bqjoxn+8G+YFs9bvKb5wUBMMfNkje3uEgS97ZG+PMPD9pnukcJjHwJc9srNHGgPf77lHpiuPYboXf4mVxmD2pOIZoJ5UPIPOk4oPxH9L8Y9MuPvlqqVf+43pZWN6yS7Z3yXML9kllT/Pbww72VClG4rJKBuqdEMxRmVDVX5AZGLmyoYq3VDMcl9mQ/XXX4cx/nahqRqbmOWeVDyz3G8pvvK5dQr2CHtkZ48w9GWP7O0RRr7fdI8UFghTXPbI3h5hMPuVe6S18fLiNu18+Pixf2i19+9iJgao31N84efZZ2ai7JG9PcKYkz2yt0eYiH7TPVL3bx5mhqfskb09EuyRb7lH9j4sPTMRPal4xpwnFc/s8qTiGUh+T/Gl/+JhZnrJLtndJQvzS3ZJ5U/dF4adbKjSDcVklA1VuqEYo7KhKj8gsgQbig1VuaGY5b7KhvqyX6S4MPZlj+ztESbE33SP1P3AeGGYzB7Z2yOMkr/nHvmqBF+ZOrOhSjcUU2c2VGWCr0yd2VClG4qp88tsqNJfebEG4s8pninutxRf+tzKFJc9srdHmOKyR/b2CFPcb7pHCguEKS575PM9MnbnHMwut1cvQ/+HPfKTyznni/tczjkm2+dyzmnPPpc4PZc+tricc1awz+WcfbzP5ZxNuM/lnB20z+Wcz/6796Oe591tLjzvbnPheXebC8+721wCLptceN7d5sLz7jYXnne3ufC8u82F591NLgMfvP3lZwA/ufD50W0ufAxymwuf5tvmEnDZ5PJtnneXuH6n6/oHLj+/02/zBLv7nX6bZ9Ld7/TbPGXufqff5rlx7zsdv82T4O53+m2e7Xa/02/ztLb7nX6b56/d7zRO852e5hlpPM0z0niaZ6TxNM9I42mekeI0z0hxmmekOM0zUpzmGSniNN/paZ6R4jTPSHGaZ6Q4zTNSnOYZqZ3mGamd5hmpneYZqZ3mGanFab7T0zwjNeNnpCGuFz/M8fmL13b5B4zrevvUyvjjk+zvr2K6/nrUuwve/Meccb3e1s+fv3RYu4uYYW3d/Yt/ojZ+SPtuqI2fEl8L9divl0sYh7vPJWx7eUN/uYb+7p8+37wYP9Oe2ctk/AR+ai/GvXBqL8Z1c2ovxi12ai+BF0svxp17ai9UuacXEt7TC73v6YXet/Qy0/ueXuh9Ty/0vqcXet/TS+DF0gu97+mF3vf0Qu97eqH3Pb3Q+5ZeFnrf0wu97+mF3vf0Qu97egm8WHqh9z290PueXuh9Ty/0vqcXet/Sy0rve3qh9z290PueXuh9Ty+BF0sv9L6nF3rf0wu97+mF3vf0Qu87egnnM9dP7YXe9/RC73t6ofc9vQReLL3Q+55e6H1PL/S+pxd639MLvW/ppaf3Pb3Q+55e6H1PL/S+p5fAi6UXet/TC73v6YXe9/RC73t6ofctvQz0vqcXet/TC71f5WVqNw7dFmoSvgj13qlGMQSoVagJbRlq2lmGmhyWoaZwZaiJVhXqkQ6VoSYtZaipRRlqalGGOkCtQk0tylBTizLU1KIMNbUoQ00tqlAHtShDTS3KUFOLMtTUogx1gFqFmlqUoaYWZaipRRlqalGGmlpUoW7Uogw1tShDTS3KUFOLMtQBahVqalGGmlqUoaYWZaipRRlqalGFeqIWZaipRRlqalGGmlqUoQ5Qq1BTizLU1KIMNbUoQ00tylBTiyrUM7UoQ00tylBTizLU1KIMdYBahZpalKGmFmWoqUUZampRhppaVKFeqEUZampRhppalKGmFmWoA9Qq1NSiDDW1KENNLcpQU4sy1NRiEeragwlW0tLTCx3q6YVo9fRC4Xp6CbxYeqGdPb0Q2p5eqHJPLyS8pxd639FL6+h9Ty/0vqcXet/TC73v6SXwYumF3vf0Qu97eqH3Pb3Q+55e6H1LLz297+mF3vf0Qu97eqH3Pb0EXiy90PueXuh9Ty/0vqcXet/TC71v6WWg9z290PueXuh9Ty/0vqeXwIulF3rf0wu97+mF3vf0Qu97eqH3Lb2M9L6nF3rf0wu97+mF3vf0Enix9ELve3qh9z290PueXuh9Ty/0vqWXoPc9vdD7nl7ofU8v9L6nl8CLpRd639MLve/phd739ELve3qh9y29NHrf0wu97+mF3vf0Qu9XeZnm6cqh6z5/8RIXZssdhpuVwIqhFVrf0Qql72iFzne0QuU7WqHxDa1MFL6jFfre0Qp172iFtne0ElgxtELbO1qh7R2t0PaOVmh7Ryu0vaGVmbZ3tELbO1qh7R2t0PaOVgIrhlZoe0crtL2jFdre0Qpt72iFtje0stD2jlZoe0crtL2jFdre0UpgxdAKbe9ohbZ3tELbO1qh7R2t0PaGVlba3tEKbe9ohbZ3tELbO1oJrBhaoe0drdD2jlZoe0crtL2jFdrez8rU0faOVmh7Ryu0vaMV2t7RSmDF0Apt72iFtne0Qts7WqHtHa3Q9oZWetre0Qpt72iFtne0Qts7WgmsGFqh7R2t0PaOVmh7Ryu0vaMV2t7QykDbO1qh7R2t0PaOVmh7RyuBFUMrtL2jFdre0Qpt72iFtne0QtsbWhlpe0crtL2jFdre0Qpt72glsGJohbZ3tELbO1qh7R2t0PaOVmh7QytB2ztaoe0drdD2jlZoe0crgRVDK7S9oxXa3tEKbe9ohbZ3tELbG1pptL2jFdre0Qpt72iFtne0ElgxtELbO1qh7R2t0PaOVmh7Ryu0vaGVibZ3tELbO1qh7R2t0PaOVgIrhlZoe0crtL2jFdre0Qpt72iFtje0MtP2jlZoe0crtL2jFdre0UpgxdAKbe9ohbZ3tELbO1qh7R2t0PaGVhba3tEKbe9ohbZ3tELbO1oJrBhaoe0drdD2jlZoe0crtL2jFdre0MpK2ztaoe0drdD2jlZoe0crgRVDK7S9oxXa3tEKbe9ohbZ3tELb+1l5W44VQyu0vaMV2t7RCm3vaCWwYmiFtne0Qts7WqHtHa3Q9o5WaHtDKz1t72iFtne0Qts7WqHtHa0EVgyt0PaOVmh7Ryu0vaMV2t7RCm1vaGWg7R2t0PaOVmh7Ryu0vaOVwIqhFdre0Qpt72iFtne0Qts7WqHty6y0G4c7ZlfUI8FehHpYu+7ytmvrNlBT4TLUpLUMNb0sQx2gVqGmbGWoyVUZahpUhpqwlKGmFlWog1qUoaYWZaipRRlqalGGOkCtQk0tylBTizLU1KIMNbUoQ00tqlA3alGGmlqUoaYWZaipRRnqALUKNbUoQ00tylBTizLU1KIMNbWoQj1RizLU1KIMNbUoQ00tylAHqFWoqUUZampRhppalKGmFmWoqUUV6plalKGmFmWoqUUZampRhjpArUJNLcpQU4sy1NSiDDW1KENNLapQL9SiDDW1KENNLcpQU4sy1AFqFWpqUYaaWpShphZlqKlFGWpqUYV6pRZlqKlFGWpqUYaaWpShDlCrUFOLMtTUYhHqsV8vlzAObdrx0vfj5Rr6iA0vpKWnFzrU0wvR6uhl6ShcTy/ksKcX2tnTC6Ht6SXwYumFhPf0Qu97eqH3Pb3Q+55e6H1LLz297+mF3vf0Qu97eqH3Pb0EXiy90PueXuh9Ty/0vqcXet/TC71v6WWg9z290PueXuh9Ty/0vqeXwIulF3rf0wu97+mF3vf0Qu97eqH3Lb2M9L6nF3rf0wu97+mF3vf0Enix9ELve3qh9z290PueXuh9Ty/0vqWXoPc9vdD7nl7ofU8v9L6nl8CLpRd639MLve/phd739ELve3qh9y29NHrf0wu97+mF3vf0Qu97egm8WHqh9z290PueXuh9Ty/0vqcXet/Sy0TvV3mZ5unKoes+f/HbvPjna5c7DDcr1L6jFVrf0Qql72glsGJohcp3tELjO1qh8B2t0PeOVqh7Qyszbe9ohbZ3tELbO1qh7R2tBFYMrdD2jlZoe0crtL2jFdre0Qptb2hloe0drdD2jlZoe0crtL2jlcCKoRXa3tEKbe9ohbZ3tELbO1qh7Q2trLS9oxXa3tEKbe9ohbZ3tBJYMbRC2ztaoe0drdD2jlZoe0crtL2flbWj7R2t0PaOVmh7Ryu0vaOVwIqhFdre0Qpt72iFtne0Qts7WqHtDa30tL2jFdre0Qpt72iFtne0ElgxtELbO1qh7R2t0PaOVmh7Ryu0vaGVgbZ3tELbO1qh7R2t0PaOVgIrhlZoe0crtL2jFdre0Qpt72iFtje0MtL2jlZoe0crtL2jFdre0UpgxdAKbe9ohbZ3tELbO1qh7R2t0PaGVoK2d7RC2ztaoe0drdD2jlYCK4ZWaHtHK7S9oxXa3tEKbe9ohbY3tNJoe0crtL2jFdre0Qpt72glsGJohbZ3tELbO1qh7R2t0PaOVmh7QysTbe9ohbZ3tELbO1qh7R2tBFYMrdD2jlZoe0crtL2jFdre0Qptb2hlpu0drdD2jlZoe0crtL2jlcCKoRXa3tEKbe9ohbZ3tELbO1qh7Q2tLLS9oxXa3tEKbe9ohbZ3tBJYMbRC2ztaoe0drdD2jlZoe0crtL2hlZW2d7RC2ztaoe0drdD2jlYCK4ZWaHtHK7S9oxXa3tEKbe9ohba3szJ0HW3vaIW2d7RC2ztaoe0drQRWDK3Q9o5WaHtHK7S9oxXa3tEKbW9opaftHa3Q9o5WaHtHK7S9o5XAiqEV2t7RCm3vaIW2d7RC2ztaoe0NrQy0vaMV2t7RCm3vaIW2d7QSWDG0Qts7WqHtHa3Q9o5WaHtHK7S9oZWRtne0Qts7WqHtHa3Q9o5WAiuGVmh7Ryu0fZmVduNwx+yGmmAvQj2sXXd527V1G6ipcBlq0lqFOuhlGWoiWIaaspWhJldlqAPUKtSEpQw1tShDTS3KUFOLMtTUogp1oxZlqKlFGWpqUYaaWpShDlCrUFOLMtTUogw1tShDTS3KUFOLKtQTtShDTS3KUFOLMtTUogx1gFqFmlqUoaYWZaipRRlqalGGmlpUoZ6pRRlqalGGmlqUoaYWZagD1CrU1KIMNbUoQ00tylBTizLU1KIK9UItylBTizLU1KIMNbUoQx2gVqGmFmWoqUUZampRhppalKGmFlWoV2pRhppalKGmFmWoqUUZ6gC1CjW1KENNLcpQU4v/okJNLcpQU4si1H1HLcpQU4sy1NSiDDW1WIR67NfLJYxDm3a89P14uYY+YsNL4MXSCx3q6YVo9fRC4Xp6IYc9vdDOll56QtvTC1Xu6YWE9/RC73t6CbxYeqH3Pb3Q+55e6H1PL/S+pxd639LLQO97eqH3Pb3Q+55e6H1PL4EXSy/0vqcXet/TC73v6YXe9/RC71t6Gel9Ty/0vqcXet/TC73v6SXwYumF3vf0Qu97eqH3Pb3Q+55e6H1LL0Hve3qh9z290PueXuh9Ty+BF0sv9L6nF3rf0wu97+mF3vf0Qu9bemn0vqcXet/TC73v6YXe9/QSeLH0Qu97eqH3Pb3Q+55e6H1PL/S+pZeJ3vf0Qu97eqH3Pb3Q+55eAi+WXuh9Ty/0vqcXer/KyzRPVw5d9/mLl7gwW+4w3KxQ+45WaH1DKzOl72iFzne0QuU7WqHxHa0EVgyt0PeOVqh7Ryu0vaMV2t7RCm1vaGWh7R2t0PaOVmh7Ryu0vaOVwIqhFdre0Qpt72iFtne0Qts7WqHtDa2stL2jFdre0Qpt72iFtne0ElgxtELbO1qh7R2t0PaOVmh7Ryu0vZ+VoaPtHa3Q9o5WaHtHK7S9o5XAiqEV2t7RCm3vaIW2d7RC2ztaoe0NrfS0vaMV2t7RCm3vaIW2d7QSWDG0Qts7WqHtHa3Q9o5WaHtHK7S9oZWBtne0Qts7WqHtHa3Q9o5WAiuGVmh7Ryu0vaMV2t7RCm3vaIW2N7Qy0vaOVmh7Ryu0vaMV2t7RSmDF0Apt72iFtne0Qts7WqHtHa3Q9oZWgrZ3tELbO1qh7R2t0PaOVgIrhlZoe0crtL2jFdre0Qpt72iFtje00mh7Ryu0vaMV2t7RCm3vaCWwYmiFtne0Qts7WqHtHa3Q9o5WaHtDKxNt72iFtne0Qts7WqHtHa0EVgyt0PaOVmh7Ryu0vaMV2t7RCm1vaGWm7R2t0PaOVmh7Ryu0vaOVwIqhFdre0Qpt72iFtne0Qts7WqHtDa0stL2jFdre0Qpt72iFtne0ElgxtELbO1qh7R2t0PaOVmh7Ryu0vaGVlbZ3tELbO1qh7R2t0PaOVgIrhlZoe0crtL2jFdre0Qpt72iFtvezMna0vaMV2t7RCm3vaIW2d7QSWDG0Qts7WqHtHa3Q9o5WaHtHK7S9oZWetne0Qts7WqHtHa3Q9o5WAiuGVmh7Ryu0vaMV2t7RCm3vaIW2N7Qy0PaOVmh7Ryu0vaMV2t7RSmDF0Apt72iFtne0Qts7WqHtHa3Q9oZWRtre0Qpt72iFtne0Qts7WgmsGFqh7R2t0PaOVmh7Ryu0vaMV2t7QStD2jlZoe0crtL2jFdq+zEq7cbhjdkMdoK5BPaxdd3nbtXUbqKlwGWrSWoaaXpahJoJlqClbFepGrspQ06Ay1ISlDDW1KEMdoFahphZlqKlFGWpqUYaaWpShphZVqCdqUYaaWpShphZlqKlFGeoAtQo1tShDTS3KUFOLMtTUogw1tahCPVOLMtTUogw1tShDTS3KUAeoVaipRRlqalGGmlqUoaYWZaipRRXqhVqUoaYWZaipRRlqalGGOkCtQk0tylBTizLU1KIMNbUoQ00tqlCv1KIMNbUoQ00tylBTizLUAWoVampRhppalKGmFmWoqUUZampRhDo6alGGmlqUoaYWZaipRRnqALUKNbUoQ00tylBTizLU1KIMNbWoQt1Ti0Wox369XMI4tGnHS9+Pl2voIza8kJaeXuhQTy9Eq6eXwIulF3LY0wvt7OmF0Pb0QpV7eiHhLb0M9L6nF3rf0wu97+mF3vf0Enix9ELve3qh9z290PueXuh9Ty/0vqWXkd739ELve3qh9z290PueXgIvll7ofU8v9L6nF3rf0wu97+mF3rf0EvS+pxd639MLve/phd739BJ4sfRC73t6ofc9vdD7nl7ofU8v9L6ll0bve3qh9z290PueXuh9Ty+BF0sv9L6nF3rf0wu97+mF3vf0Qu9bepnofU8v9L6nF3rf0wu97+kl8GLphd739ELve3qh9z290PueXuh9Sy8zve/phd739ELve3qh9z29BF6KvEzzdOXQdZ+/eIkLs+UOw80Kte9ohdZ3tELpO1qh8x2tUPmGVhYa39EKhe9ohb53tELdO1oJrBhaoe0drdD2jlZoe0crtL2jFdre0MpK2ztaoe0drdD2jlZoe0crgRVDK7S9oxXa3tEKbe9ohbZ3tELb+1lpHW3vaIW2d7RC2ztaoe0drQRWDK3Q9o5WaHtHK7S9oxXa3tEKbW9opaftHa3Q9o5WaHtHK7S9o5XAiqEV2t7RCm3vaIW2d7RC2ztaoe0NrQy0vaMV2t7RCm3vaIW2d7QSWDG0Qts7WqHtHa3Q9o5WaHtHK7S9oZWRtne0Qts7WqHtHa3Q9o5WAiuGVmh7Ryu0vaMV2t7RCm3vaIW2N7QStL2jFdre0Qpt72iFtne0ElgxtELbO1qh7R2t0PaOVmh7Ryu0vaGVRts7WqHtHa3Q9o5WaHtHK4EVQyu0vaMV2t7RCm3vaIW2d7RC2xtamWh7Ryu0vaMV2t7RCm3vaCWwYmiFtne0Qts7WqHtHa3Q9o5WaHtDKzNt72iFtne0Qts7WqHtHa0EVgyt0PaOVmh7Ryu0vaMV2t7RCm1vaGWh7R2t0PaOVmh7Ryu0vaOVwIqhFdre0Qpt72iFtne0Qts7WqHtDa2stL2jFdre0Qpt72iFtne0ElgxtELbO1qh7R2t0PaOVmh7Ryu0vZ+VqaPtHa3Q9o5WaHtHK7S9o5XAiqEV2t7RCm3vaIW2d7RC2ztaoe0NrfS0vaMV2t7RCm3vaIW2d7QSWDG0Qts7WqHtHa3Q9o5WaHtHK7S9oZWBtne0Qts7WqHtHa3Q9o5WAiuGVmh7Ryu0vaMV2t7RCm3vaIW2N7Qy0vaOVmh7Ryu0vaMV2t7RSmDF0Apt72iFtne0Qts7WqHtHa3Q9oZWgrZ3tELbO1qh7R2t0PaOVgIrhlZoe0crtL2jFdre0Qpt72iFtje00mj7MivtxuGO2Q01wV6Eeli77vK2a+s2UFPhMtSktQx1gFqFmgiWoaZsZajJVRlqGlSGmrBUoZ6oRRlqalGGmlqUoaYWZagD1CrU1KIMNbUoQ00tylBTizLU1KIK9UwtylBTizLU1KIMNbUoQx2gVqGmFmWoqUUZampRhppalKGmFlWoF2pRhppalKGmFmWoqUUZ6gC1CjW1KENNLcpQU4sy1NSiDDW1qEK9Uosy1NSiDDW1KENNLcpQB6hVqKlFGWpqUYaaWpShphZlqKlFEeq5oxZlqKlFGWpqUYaaWpShDlCrUFOLMtTUogw1tShDTS3KUFOLKtQ9tShDTS3KUFOLMtTUogx1gFqFmlqUoaYWZaipxSLUY79eLmEc2rTjpe/HyzX0ERteSEtPL3SopZeBaPX0QuF6eiGHPb3Qzp5eAi+WXqhyTy8kvKcXet/TC73v6YXet/Qy0vueXuh9Ty/0vqcXet/TS+DF0gu97+mF3vf0Qu97eqH3Pb3Q+5Zegt739ELve3qh9z290PueXgIvll7ofU8v9L6nF3rf0wu97+mF3rf00uh9Ty/0vqcXet/TC73v6SXwYumF3vf0Qu97eqH3Pb3Q+55e6H1LLxO97+mF3vf0Qu97eqH3Pb0EXiy90PueXuh9Ty/0vqcXet/TC71v6WWm9z290PueXuh9Ty/0vqeXwIulF3rf0wu97+mF3vf0Qu97eqH3Lb0s9L6nF3q/yss0T1cOXff5i5e4MFvuMNysUPuOVmh9RyuBFUMrdL6jFSrf0QqN72iFwne0Qt8bWlmpe0crtL2jFdre0Qpt72glsGJohbZ3tELbO1qh7R2t0PaOVmh7PytLR9s7WqHtHa3Q9o5WaHtHK4EVQyu0vaMV2t7RCm3vaIW2d7RC2xta6Wl7Ryu0vaMV2t7RCm3vaCWwYmiFtne0Qts7WqHtHa3Q9o5WaHtDKwNt72iFtne0Qts7WqHtHa0EVgyt0PaOVmh7Ryu0vaMV2t7RCm1vaGWk7R2t0PaOVmh7Ryu0vaOVwIqhFdre0Qpt72iFtne0Qts7WqHtDa0Ebe9ohbZ3tELbO1qh7R2tBFYMrdD2jlZoe0crtL2jFdre0Qptb2il0faOVmh7Ryu0vaMV2t7RSmDF0Apt72iFtne0Qts7WqHtHa3Q9oZWJtre0Qpt72iFtne0Qts7WgmsGFqh7R2t0PaOVmh7Ryu0vaMV2t7QykzbO1qh7R2t0PaOVmh7RyuBFUMrtL2jFdre0Qpt72iFtne0QtsbWlloe0crtL2jFdre0Qpt72glsGJohbZ3tELbO1qh7R2t0PaOVmh7Qysrbe9ohbZ3tELbO1qh7R2tBFYMrdD2jlZoe0crtL2jFdre0Qpt72dl7Wh7Ryu0vaMV2t7RCm3vaCWwYmiFtne0Qts7WqHtHa3Q9o5WaHtDKz1t72iFtne0Qts7WqHtHa0EVgyt0PaOVmh7Ryu0vaMV2t7RCm1vaGWg7R2t0PaOVmh7Ryu0vaOVwIqhFdre0Qpt72iFtne0Qts7WqHtDa2MtL2jFdre0Qpt72iFtne0ElgxtELbO1qh7R2t0PaOVmh7Ryu0vaGVoO0drdD2jlZoe0crtL2jlcCKoRXa3tEKbe9ohbZ3tELbO1qh7Q2tNNre0Qpt72iFtne0Qts7WgmsGFqh7R2t0PaOVmj7MivtxuGO2Q01wV6E+scvR7+87VvbbaCmwlWoJ9JahppelqEmgmWoKVsZ6gC1CjUNKkNNWMpQU4sy1NSiDDW1qEI9U4sy1NSiDDW1KENNLcpQB6hVqKlFGWpqUYaaWpShphZlqKlFFeqFWpShphZlqKlFGWpqUYY6QK1CTS3KUFOLMtTUogw1tShDTS2qUK/Uogw1tShDTS3KUFOLMtQBahVqalGGmlqUoaYWZaipRRlqalGDeuw6alGGmlqUoaYWZaipRRnqALUKNbUoQ00tylBTizLU1KIMNbWoQt1TizLU1KIMNbUoQ00tylAHqFWoqUUZampRhppalKGmFmWoqUUV6oFalKGmFmWoqUUZampRhjpAXYN67NfLJYxDm3a89P14uYY+YsMLaenphQ719EK0enqhcD29kMOWXkba2dMLoe3phSr39ELCe3oJvFh6ofc9vdD7nl7ofU8v9L6nF3rf0kvQ+55e6H1PL/S+pxd639NL4MXSC73v6YXe9/RC73t6ofc9vdD7ll4ave/phd739ELve3qh9z29BF4svdD7nl7ofU8v9L6nF3rf0wu9b+llovc9vdD7nl7ofU8v9L6nl8CLpRd639MLve/phd739ELve3qh9y29zPS+pxd639MLve/phd739BJ4sfRC73t6ofc9vdD7nl7ofU8v9L6ll4Xe9/RC73t6ofc9vdD7nl4CL5Ze6H1PL/S+pxd639MLvV/lZZqnK4eu+/zFS1yYLXcYblaofUMrK63vaIXSd7RC5ztaofIdrQRWDK1Q+I5W6HtHK9S9oxXa3tEKbe9npe9oe0crtL2jFdre0Qpt72glsGJohbZ3tELbO1qh7R2t0PaOVmh7Qys9be9ohbZ3tELbO1qh7R2tBFYMrdD2jlZoe0crtL2jFdre0Qptb2hloO0drdD2jlZoe0crtL2jlcCKoRXa3tEKbe9ohbZ3tELbO1qh7Q2tjLS9oxXa3tEKbe9ohbZ3tBJYMbRC2ztaoe0drdD2jlZoe0crtL2hlaDtHa3Q9o5WaHtHK7S9o5XAiqEV2t7RCm3vaIW2d7RC2ztaoe0NrTTa3tEKbe9ohbZ3tELbO1oJrBhaoe0drdD2jlZoe0crtL2jFdre0MpE2ztaoe0drdD2jlZoe0crgRVDK7S9oxXa3tEKbe9ohbZ3tELbG1qZaXtHK7S9oxXa3tEKbe9oJbBiaIW2d7RC2ztaoe0drdD2jlZoe0MrC23vaIW2d7RC2ztaoe0drQRWDK3Q9o5WaHtHK7S9oxXa3tEKbW9oZaXtHa3Q9o5WaHtHK7S9o5XAiqEV2t7RCm3vaIW2d7RC2ztaoe39rAwdbe9ohbZ3tELbO1qh7R2tBFYMrdD2jlZoe0crtL2jFdre0Qptb2ilp+0drdD2jlZoe0crtL2jlcCKoRXa3tEKbe9ohbZ3tELbO1qh7Q2tDLS9oxXa3tEKbe9ohbZ3tBJYMbRC2ztaoe0drdD2jlZoe0crtL2hlZG2d7RC2ztaoe0drdD2jlYCK4ZWaHtHK7S9oxXa3tEKbe9ohbY3tBK0vaMV2t7RCm3vaIW2d7QSWDG0Qts7WqHtHa3Q9o5WaHtHK7S9oZVG2ztaoe0drdD2jlZoe0crgRVDK7S9oxXa3tEKbe9ohbZ3tELbG1qZaHtHK7S9oxXa3tEKbe9oJbBSZaXdONwxu6Em2ItQD2vXXd52bd0Gaipchpq0lqGml2WoiWAV6pmylaEmV2WoaVAZasJShjpArUJNLcpQU4sy1NSiDDW1KENNLapQL9SiDDW1KENNLcpQU4sy1AFqFWpqUYaaWpShphZlqKlFGWpqUYV6pRZlqKlFGWpqUYaaWpShDlCrUFOLMtTUogw1tShDTS3KUFOLItRjRy3KUFOLMtTUogw1tShDHaBWoaYWZaipRRlqalGGmlqUoaYWVah7alGGmlqUoaYWZaipRRnqALUKNbUoQ00tylBTizLU1KIMNbWoQj1QizLU1KIMNbUoQ00tylAHqFWoqUUZampRhppalKGmFmWoqUUV6pFalKGmFotQv42TLpfw4xy0HS99P16uoY/Y8EJaenqhQz29BF4svVC4nl7IYU8vtLOnF0Lb0wtVbuklSHhPL/S+pxd639MLve/pJfBi6YXe9/RC73t6ofc9vdD7nl7ofUsvjd739ELve3qh9z290PueXgIvll7ofU8v9L6nF3rf0wu97+mF3rf0MtH7nl7ofU8v9L6nF3rf00vgxdILve/phd739ELve3qh9z290PuWXmZ639MLve/phd739ELve3oJvFh6ofc9vdD7nl7ofU8v9L6nF3rf0stC73t6ofc9vdD7nl7ofU8vgRdLL/S+pxd639MLve/phd739ELvW3pZ6X1PL/S+pxd639MLve/pJfBi6YXer/IyzdOVQ9d9/uIlLsyWOww3K9S+oxVa39EKpe9ohc73sxIdle9ohcZ3tELhO1qh7x2tBFYMrdD2jlZoe0crtL2jFdre0Qptb2ilp+0drdD2jlZoe0crtL2jlcCKoRXa3tEKbe9ohbZ3tELbO1qh7Q2tDLS9oxXa3tEKbe9ohbZ3tBJYMbRC2ztaoe0drdD2jlZoe0crtL2hlZG2d7RC2ztaoe0drdD2jlYCK4ZWaHtHK7S9oxXa3tEKbe9ohbY3tBK0vaMV2t7RCm3vaIW2d7QSWDG0Qts7WqHtHa3Q9o5WaHtHK7S9oZVG2ztaoe0drdD2jlZoe0crgRVDK7S9oxXa3tEKbe9ohbZ3tELbG1qZaHtHK7S9oxXa3tEKbe9oJbBiaIW2d7RC2ztaoe0drdD2jlZoe0MrM23vaIW2d7RC2ztaoe0drQRWDK3Q9o5WaHtHK7S9oxXa3tEKbW9oZaHtHa3Q9o5WaHtHK7S9o5XAiqEV2t7RCm3vaIW2d7RC2ztaoe0Nray0vaMV2t7RCm3vaIW2d7QSWDG0Qts7WqHtHa3Q9o5WaHtHK7S9n5XW0faOVmh7Ryu0vaMV2t7RSmDF0Apt72iFtne0Qts7WqHtHa3Q9oZWetre0Qpt72iFtne0Qts7WgmsGFqh7R2t0PaOVmh7Ryu0vaMV2t7QykDbO1qh7R2t0PaOVmh7RyuBFUMrtL2jFdre0Qpt72iFtne0QtsbWhlpe0crtL2jFdre0Qpt72glsGJohbZ3tELbO1qh7R2t0PaOVmh7QytB2ztaoe0drdD2jlZoe0crgRVDK7S9oxXa3tEKbe9ohbZ3tELbG1pptL2jFdre0Qpt72iFtne0ElgxtELbO1qh7R2t0PaOVmh7Ryu0vaGVibZ3tELbO1qh7R2t0PaOVgIrhlZoe0crtL2jFdre0Qpt72iFtje0MtP2jlZo+zIr7cbhjtkNNcFehLoNy4VDG4e2gZoKl6EOUKtQ08sy1ESwDDVlK0NNrspQ06Aq1AthKUNNLcpQU4sy1NSiDHWAWoWaWpShphZlqKlFGWpqUYaaWlShXqlFGWpqUYaaWpShphZlqAPUKtTUogw1tShDTS3KUFOLMtTUogj11FGLMtTUogw1tShDTS3KUAeoVaipRRlqalGGmlqUoaYWZaipRRXqnlqUoaYWZaipRRlqalGGOkCtQk0tylBTizLU1KIMNbUoQ00tqlAP1KIMNbUoQ00tylBTizLUAWoVampRhppalKGmFmWoqUUZampRhXqkFmWoqUUZampRhppalKEOUKtQU4sy1NSiDDW1WIW6zdfXtnXdQE0tylBTiyrUQS3KUFOLMtTUogw1tShDHaBWoaYWZaipRRlqalGGmlqUoaYWVagbtShDTS3KUFOLMtTUogx1gFqFmlqUoaYWZaipRRlqalGGmlpUoZ6oRRlqalGGmlqUoaYWZagD1CrU1KIMNbUoQ00tylBTizLU1KIK9UwtylBTizLU1KIMNbUoQx2gVqGmFmWoqUUZampRhppalKGmFlWoF2pRhppalKGmFmWoqUUZ6gC1CjW1KENNLcpQU4sy1NSiDDW1qEK9Uosy1NSiDDW1KENNLcpQB6hVqKlFGWpqUYaaWpShphZlqKlFEeq5oxZlqKnFItTTEP3P105jN26gphZlqKlFGeoAtQo1tShDTS3KUFOLMtTUogw1tahC3VOLVajfXnFB3SI2UFOLMtTUogw1tShDHaBWoaYWZaipRRlqalGGmlqUoaYWVagHalGGmlqUoaYWZaipRRnqALUKNbUoQ00tylBTizLU1KIMNbWoQj1SizLU1KIMNbUoQ00tylAHqFWoqUUZampRhppalKGmFmWoqUUV6qAWZaipRRlqalGGmlqUoQ5Qq1BTizLU1KIMNbUoQ00tylBTiyrUjVqUoaYWZaipRRlqalGGOkCtQk0tylBTizLU1KIMNbUoQ00tqlBP1KIMNbUoQ00tylBTizLUAWoVampRhpparEK9zJe3ndZu2kBNLcpQU4sy1NRiFep16K6oW/f5i5dxvLzxMrZp58VxAbxMG79rdaZCX14hdfvyCqnml1dIjb+8wkDhqytkevDyCplKvLxCph0vr5ApyssrZDrz6goXpjMvr5DpzMsrZDrz8gqZzry8wkDhqytkOvPyCpnOvLxCpjMvr5DpzMsrZDrz6gpXpjNfo7Afrwqnjc+1roxcPL0wR/kSL9Guf429fY3PXzys88XGsK43EMO08eLWXY23buzvX/zTOGOXsxkPjJ/MOEOdsxlnBnQ244yMzmacCdPZjDOQOpfxpWN+dTbjTMbOZpyZ29mMM3M7m/HA+MmMM3M7m3FmbmczzsztbMaZuZ3NODO3kxnvmbmdzTgzt7MZZ+Z2NuPM3M5mPDB+MuPM3M5mnJnb2YwzczubcWZuZzPOzO1kxgdmbmczzsztbMaZuZ3NODO3sxkPjJ/MODO3sxln5nY248zczmacmdvZjDNzO5nxkZnb2YwzczubcWZuZzPOzO1sxgPjJzPOzO1sxpm5nc04M7ezGWfmdjbjzNxOZjyYuZ3NODO3sxln5nY248zczmY8MH4y48zczmacmdvZjDNzO5tx7cxtnMer8XXZMz7HclM+tdvLx833bsty2053gt5e/vObXU/0zbbO+Jtd58sf0H7sxp1vNob1+sfutoX74e07ffuvf//PP//lL3/+n//9L3/7j3/7+5//9tf/+rGy+/E/PvgXdmN/AbDc/qj1/fqD2wf/ROvTJePjS+LxJe3xJdPjSzb//m/t+nfI9H7J8viS9eEl2x/V+3zJpv123dJtnt4tGR5fMj6+JB5fsmm/rReVU9e9WzI9vmR+fMny+JJ1b8ny65LtofHnS/rHl2zan9p0WXL3l/Jlyfj4knh8SXt8yab9ab4+k8zruyXz40uWx5esDy/ZvpFN6+VxcO7Gd0v6x5cMjy8ZH18SO0vub3A/l7THl0yPL9m0P1+fo+fp3Z+Xtjy+ZH14ydQ9vmTT/nx9QJnf3/im4fEl4+NL4vElm/bn9doL3bubxTQ9vmR+fMny+JJ1Z0kfvy6Zu8eX9I8v2bS/TJe/lJbp3V9K8/j4knh8SXt8yab9Zb782V+W99/+/PiS5fEl68NLlk37y3qN++7dt7/0jy8ZHl8yPr4kdpbcNdxlSXt8yfT4kk376zJeJyjv7mLL8viS9eEla/fgkrf/6n+8cvv3V8/zdP2r6fZQOrRPgzNi+PylldOY/jUve3jNyx5f87LjNS+7veZlT6952XP2sufhOiQc71/6482XZ775+sQ3H7pnvnn2b+83pVejw69vPjzzzcdnvnn276s2XF7ahvnXN2/PfPPpmW8+P/HNxzTzuPxIrMW7N89e+e0HENPc//rmyxPfPIYnYon0H6Jp2pj//nzzeOabt2e++fTMN5+f+ebLM998feKbt67uzZf265v3z3zz9J/Q68/y2/ruzdN/Qq9/t2y8eTzzzdsz3zz7J3QaLg9F07D8+ubzM998eeabr0988yn7J3Tq4/rm669v3j/zzYdnvvn4zDePZ755e+abT89887nuzcd3+3x55pun/4ReE3qKX998Tv8J7drHb94/882HZ755+k/oJ8/nczzzzdsz33x65ps/M7jm5wXX238MP164/dmV/hZT/TTe/6hw/vjTK58uevuv8cdrtwe703L5lua4/7HB1idCo12fIv/wg/L4eABb9/btuW8/Pfft5+e+/fLct1+zb9/664e42rLz2r4brx/47O7nCUP/8bDyqy6md7qYweliRu3FtOF6MVP/7mLC6WKa08VMThczay/mejfvu/uRy8+LWZwuZjW6mLFzupj+yy7m7mMWl4sZnC5mdLoY7d/A/bXV+v7uY22Xi2lOFzM5XcxsczFv/xU/Xrv977Cun46L5f6DW9Nv69pvudNtl9J0/Qc2bVk/b7jl+s/a1q59/tKnf9zpFS58eNULH1/1wuNVL7y96oVPr3rhc/rC1/HyV/v9P9x9+oUvr3rh64te+NC96oX3r3rhw6te+Pi8C//TR3Oburdvz3376blvPz/37Zfnvv361Lcf83D6brjWSTfGL18g8n9J9sN0+80Gy6+fm43x2d9BPPsLVDi4/sPkt1j89aeusTz7C6xP/gKte/YX6Au+wPVfFr19gV8/J9GGZ3+B8dlfIJ79Bdqzv8D07C8wP/sLFPxJ7sfrALKffv24fVuf/AWm7tlfoH/2Fxie/QXGZ3+BePYXKPiT3K+3X9fV//rYMk3P/gLrkx9b5mc/F839s7/A+OwvEM/+Au3ZX2B66hd4+4/pXz4e4d9+wUs/zfPOl4nhEgl9jO/+VV0UfIHrr2jpY915sdWw9bt9l9Mpvsv5FN/lcorvcj3Ddzl0p/gue+13aTWn/m7f5XiK7zJO8V22U3yX0ym+y9nku/zThz8d+ZprWX2uZeyMrsXlnvynjz4Z+kXX4nJ/+9OHP0Z72rXs/MRKTGbnJ4CTFZvZ6WqafN8c+CnbV13NYHU1o9XVhPpqDvxk8KuuZrK6mtnqaharq1mdrmbqrK5G/XfxkR+qftXVjFZXE1ZX06yuZrK6mtnqatR/Fx/5ifoXXc08OBXMbNVTc1hdzWR1NbPV1SxWV7P6XM3bf8w/XvrBRzy6uPudDLcno/GzHff5mvnAmuXAmvXxNdunIOys6Q+sGQ6sGQ+siQNrDuyD5cA+WA7sg+XAPlgO7IP1wD5YD+yD9cA+WA/sg/XAPlgP7IN1ex/01yOE+n7pf10zH1izHFizPr6m77oji/rdRev0btE2hrfnsetf3Hcjy5+LPvg4W6zXRa1/v6g/smg4smg8sOijfwC23Bat75B/9OPK7vrLYab3X+mDnyx9/pU++hHQcB0RTu89ffSzms8XjUcWxZFFH4Tq9RcvvC1q7xZNRxbNRxYtRxatBxZ99LOjzxf1RxYNBzbsRz9M+nxRHFnUjiw68ofwox8Cfb5oObJoPbDoo58Kfb6oP7LoyI5oR3ZEO7Ij2pEd0Y7siPbwjnj7j+XHS9+eSLaWtmG4fgZkiHefmezakUXTkUXzkUXLkUXrgUUfHOY1XH/v6DzM0z/3NLG3aDiw6IPDU8br+dbzuKz/3IPBHN31gM7op3/uwWAY4vKVhqH9kw8Ge4uGI4umAyA+OExkB8RyZNF6YNH2nXdvUX9k0XBk0XhkURxZ1I4sOrLL48iOiCM7Io7siHZkR7QjO6I9vCPe/mP9/Yazfe/4/EP6H9w7dhbNRxYtRxatBxZt3zv2Fn1wfO71kKu3/3N8d+/44Gjb6wH18zq9vw10Rxb1RxYNRxaNRxbFkUXtyKLpyKL5yKLtw267645Y3nbUu0XrB4uuZ/d2wx/+/L4fkMfYXS4rxn6936j/+uhj1PbTw9ddTu91OYPX5YxelxNel9O8LmfyupzZ63IWr8vx+ls5PviDHrfzN+5+5fynz9VLd+3UpZvbP/dcvbdoObJoPbCoDQdAtA/oTXdf6Z+cM+0takcWTUcWfeBpvi1au3eLliOL1gOLpu7Iov7IouHIovHIojiwYad2ZNGRP7nTkT+505E/udORP7lzd2RRf2TRcGTReGTRkR0xH9kR85EdMR/ZEfORHTEf2RHLcCCglw9i83oA3LwO72YkSxxZ1I4smo4smo8sWo4sWg8sWrsji/oji4Yji47siPXIjliP7Ij1yI5Yj+yI9eEd8Y9//e13Cv2/f2kf/FTt08/LtNaOLJqOLJqPLFqOLDrwgas2dUcW9UcWDUcWjUcWHdkR05EdMR3ZEdORHTEd2RHTkR0xH9kR85EdMR/ZEfORHTEf2REffDD308+gtXk6smg+smg5sujAh/Hasv9hvHefq2sffDT108/VtQ8+M/rpB9fa2h1Z1B9ZdODDeFP3wS/j/OzTblN34FMfU7ce+Eof/Wa+zz64NvX9kUXDkUXjkUXbf9w//WTY1Lcji6Yji+Yji5Yjiw58GG8auiOLDnz0ahqGI4vGI4viyKIjfwiPfCJ2GuYji5Yjiw58GG8auyOLjuyI8ciOGI/siPHIjhiP7Ijx4R3xI2763+Lmo492jte/0ufutvbtlvrbfeqjz3Z+suofb//5f/7tP//8b//+l//xX2+Lfvx///df/+Pvf/7bX3/+59//7//6/f/z9uL/Dw==","brillig_names":["get_public_keys_and_partial_address","decompose_hint","notify_created_note_oracle_wrapper","get_key_validation_request","random","lt_32_hint","lte_16_hint","build_msg_block_iter","pad_msg_block","attach_len_to_msg_block","build_msg_block_iter","emit_encrypted_note_log_oracle_wrapper","directive_invert","directive_integer_quotient"]},{"name":"get_profile_nfts","is_unconstrained":true,"custom_attributes":[],"abi":{"error_types":{},"parameters":[{"name":"owner","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"},"visibility":"private"},{"name":"page_index","type":{"kind":"integer","sign":"unsigned","width":32},"visibility":"private"}],"return_type":{"abi_type":{"kind":"array","length":10,"type":{"fields":[{"kind":"field"},{"kind":"boolean"}],"kind":"tuple"}},"visibility":"public"}},"bytecode":"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","debug_symbols":"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{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"}},{"name":"recipient","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"}}],"kind":"struct","path":"Profile::update_is_adult_parameters"}}],"kind":"struct","path":"Profile::update_is_adult_abi"},{"fields":[{"name":"parameters","type":{"fields":[{"name":"initial_supply","type":{"kind":"integer","sign":"unsigned","width":64}},{"name":"owner","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"}},{"name":"outgoing_viewer","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"}}],"kind":"struct","path":"Profile::constructor_parameters"}}],"kind":"struct","path":"Profile::constructor_abi"},{"fields":[{"name":"parameters","type":{"fields":[{"name":"to","type":{"fields":[{"name":"inner","type":{"kind":"field"}}],"kind":"struct","path":"aztec::protocol_types::address::aztec_address::AztecAddress"}},{"name":"token_id","type":{"kind":"field"}},{"name":"is_adult","type":{"kind":"boolean"}}],"kind":"struct","path":"Profile::mintNFT_parameters"}}],"kind":"struct","path":"Profile::mintNFT_abi"}]}},"file_map":{"100":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/encrypted_logs/payload.nr","source":"use dep::protocol_types::{\n address::AztecAddress, scalar::Scalar, point::Point, constants::GENERATOR_INDEX__SYMMETRIC_KEY,\n hash::poseidon2_hash_with_separator\n};\nuse std::{\n aes128::aes128_encrypt, embedded_curve_ops::fixed_base_scalar_mul as derive_public_key,\n hash::from_field_unsafe as fr_to_fq_unsafe, field::bn254::decompose\n};\n\nuse crate::{\n oracle::random::random, utils::point::point_to_bytes, encrypted_logs::{header::EncryptedLogHeader},\n keys::{point_to_symmetric_key::point_to_symmetric_key, public_keys::{OvpkM, IvpkM}}\n};\n\npub fn compute_encrypted_log(\n contract_address: AztecAddress,\n ovsk_app: Field,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress,\n plaintext: [u8; P]\n) -> [u8; M] {\n let (eph_sk, eph_pk) = generate_ephemeral_key_pair();\n\n let header = EncryptedLogHeader::new(contract_address);\n\n let incoming_header_ciphertext: [u8; 48] = header.compute_ciphertext(eph_sk, ivpk);\n let outgoing_header_ciphertext: [u8; 48] = header.compute_ciphertext(eph_sk, ovpk);\n let incoming_body_ciphertext = compute_incoming_body_ciphertext(plaintext, eph_sk, ivpk);\n let outgoing_body_ciphertext: [u8; 144] = compute_outgoing_body_ciphertext(recipient, ivpk, fr_to_fq(ovsk_app), eph_sk, eph_pk);\n\n let mut encrypted_bytes: [u8; M] = [0; M];\n // @todo We ignore the tags for now\n\n let eph_pk_bytes = point_to_bytes(eph_pk);\n for i in 0..32 {\n encrypted_bytes[64 + i] = eph_pk_bytes[i];\n }\n for i in 0..48 {\n encrypted_bytes[96 + i] = incoming_header_ciphertext[i];\n encrypted_bytes[144 + i] = outgoing_header_ciphertext[i];\n }\n for i in 0..144 {\n encrypted_bytes[192 + i] = outgoing_body_ciphertext[i];\n }\n // Then we fill in the rest as the incoming body ciphertext\n let size = M - 336;\n assert_eq(size, incoming_body_ciphertext.len(), \"ciphertext length mismatch\");\n for i in 0..size {\n encrypted_bytes[336 + i] = incoming_body_ciphertext[i];\n }\n\n // Current unoptimized size of the encrypted log\n // incoming_tag (32 bytes)\n // outgoing_tag (32 bytes)\n // eph_pk (32 bytes)\n // incoming_header (48 bytes)\n // outgoing_header (48 bytes)\n // outgoing_body (144 bytes)\n // incoming_body_fixed (64 bytes)\n // incoming_body_variable (P + 16 bytes padding)\n encrypted_bytes\n}\n\n/// Converts a base field element to scalar field element.\n/// This is fine because modulus of the base field is smaller than the modulus of the scalar field.\nfn fr_to_fq(r: Field) -> Scalar {\n let (lo, hi) = decompose(r);\n\n Scalar { lo, hi }\n}\n\nfn generate_ephemeral_key_pair() -> (Scalar, Point) {\n // @todo Need to draw randomness from the full domain of Fq not only Fr\n\n // We use the randomness to preserve the privacy of both the sender and recipient via encryption, so a malicious\n // sender could use non-random values to reveal the plaintext. But they already know it themselves anyway, and so\n // the recipient already trusts them to not disclose this information. We can therefore assume that the sender will\n // cooperate in the random value generation.\n let randomness = unsafe {\n random()\n };\n\n // We use the unsafe version of `fr_to_fq` because multi_scalar_mul (called by derive_public_key) will constrain\n // the scalars.\n let eph_sk = fr_to_fq_unsafe(randomness);\n let eph_pk = derive_public_key(eph_sk);\n\n (eph_sk, eph_pk)\n}\n\npub fn compute_incoming_body_ciphertext(plaintext: [u8; P], eph_sk: Scalar, ivpk: IvpkM) -> [u8] {\n let full_key = point_to_symmetric_key(eph_sk, ivpk.to_point());\n let mut sym_key = [0; 16];\n let mut iv = [0; 16];\n\n for i in 0..16 {\n sym_key[i] = full_key[i];\n iv[i] = full_key[i + 16];\n }\n aes128_encrypt(plaintext, iv, sym_key)\n}\n\n/// Encrypts ephemeral secret key and recipient's ivpk --> with this information the recipient of outgoing will\n/// be able to derive the key with which the incoming log can be decrypted.\npub fn compute_outgoing_body_ciphertext(\n recipient: AztecAddress,\n recipient_ivpk: IvpkM,\n ovsk_app: Scalar,\n eph_sk: Scalar,\n eph_pk: Point\n) -> [u8; 144] {\n // Again, we could compute `eph_pk` here, but we keep the interface more similar\n // and also make it easier to optimise it later as we just pass it along\n\n let mut buffer = [0 as u8; 128];\n\n let serialized_eph_sk_high: [u8; 32] = eph_sk.hi.to_be_bytes();\n let serialized_eph_sk_low: [u8; 32] = eph_sk.lo.to_be_bytes();\n\n let address_bytes: [u8; 32] = recipient.to_field().to_be_bytes();\n let serialized_recipient_ivpk = point_to_bytes(recipient_ivpk.to_point());\n\n for i in 0..32 {\n buffer[i] = serialized_eph_sk_high[i];\n buffer[i + 32] = serialized_eph_sk_low[i];\n buffer[i + 64] = address_bytes[i];\n }\n for i in 0..32 {\n buffer[i + 96] = serialized_recipient_ivpk[i];\n }\n\n // We compute the symmetric key using poseidon.\n let full_key: [u8; 32] = poseidon2_hash_with_separator(\n [ovsk_app.hi, ovsk_app.lo, eph_pk.x, eph_pk.y],\n GENERATOR_INDEX__SYMMETRIC_KEY as Field\n ).to_be_bytes();\n\n let mut sym_key = [0; 16];\n let mut iv = [0; 16];\n\n for i in 0..16 {\n sym_key[i] = full_key[i];\n iv[i] = full_key[i + 16];\n }\n aes128_encrypt(buffer, iv, sym_key).as_array()\n}\n\nmod test {\n use crate::{\n encrypted_logs::payload::{compute_encrypted_log, compute_incoming_body_ciphertext, compute_outgoing_body_ciphertext},\n keys::public_keys::{OvpkM, IvpkM}\n };\n use std::embedded_curve_ops::fixed_base_scalar_mul as derive_public_key;\n use dep::protocol_types::{address::AztecAddress, point::Point, scalar::Scalar};\n use std::test::OracleMock;\n\n #[test]\n unconstrained fn test_encrypted_log_matches_typescript() {\n // All the values in this test were copied over from `tagged_log.test.ts`\n let contract_address = AztecAddress::from_field(0x10f48cd9eff7ae5b209c557c70de2e657ee79166868676b787e9417e19260e04);\n let ovsk_app = 0x03a6513d6def49f41d20373d2cec894c23e7492794b08fc50c0e8a1bd2512612;\n let ovpk_m = OvpkM {\n inner: Point {\n x: 0x1961448682803198631f299340e4206bb12809d4bebbf012b30f59af73ba1a15,\n y: 0x133674060c3925142aceb4f1dcd9f9137d0217d37ff8729ee5ceaa6e2790353d,\n is_infinite: false\n }\n };\n let ivpk_m = IvpkM {\n inner: Point {\n x: 0x260cd3904f6df16e974c29944fdc839e40fb5cf293f03df2eb370851d3a527bc,\n y: 0x0eef2964fe6640e84c82b5d2915892409b38e9e25d39f68dd79edb725c55387f,\n is_infinite: false\n }\n };\n\n let plaintext = [\n 0, 0, 0, 1, 48, 22, 64, 206, 234, 117, 131, 145, 178, 225, 97, 201, 44, 5, 19, 241, 41, 2, 15, 65, 37, 37, 106, 253, 174, 38, 70, 206, 49, 9, 159, 92, 16, 244, 140, 217, 239, 247, 174, 91, 32, 156, 85, 124, 112, 222, 46, 101, 126, 231, 145, 102, 134, 134, 118, 183, 135, 233, 65, 126, 25, 38, 14, 4, 15, 228, 107, 229, 131, 183, 31, 74, 181, 183, 12, 38, 87, 255, 29, 5, 204, 207, 29, 41, 42, 147, 105, 98, 141, 26, 25, 79, 148, 78, 101, 153, 0, 0, 16, 39\n ];\n\n let eph_sk = 0x1358d15019d4639393d62b97e1588c095957ce74a1c32d6ec7d62fe6705d9538;\n let _ = OracleMock::mock(\"getRandomField\").returns(eph_sk);\n\n let recipient = AztecAddress::from_field(0x10ee41ee4b62703b16f61e03cb0d88c4b306a9eb4a6ceeb2aff13428541689a2);\n\n let log: [u8; 448] = compute_encrypted_log(contract_address, ovsk_app, ovpk_m, ivpk_m, recipient, plaintext);\n\n // The following value was generated by `tagged_log.test.ts`\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let encrypted_log_from_typescript = [\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 141, 70, 12, 14, 67, 77, 132, 110, 193, 234, 40, 110, 64, 144, 235, 86, 55, 111, 242, 123, 221, 193, 170, 202, 225, 216, 86, 84, 159, 112, 31, 167, 126, 79, 51, 186, 47, 71, 253, 172, 99, 112, 241, 59, 197, 241, 107, 186, 232, 87, 187, 230, 171, 62, 228, 234, 42, 51, 145, 146, 238, 242, 42, 71, 206, 13, 244, 66, 111, 195, 20, 203, 98, 148, 204, 242, 145, 183, 156, 29, 141, 54, 44, 220, 194, 35, 229, 16, 32, 204, 211, 49, 142, 112, 82, 202, 116, 241, 254, 146, 42, 217, 20, 189, 70, 228, 182, 171, 205, 104, 27, 99, 171, 28, 91, 244, 21, 30, 130, 240, 5, 72, 174, 124, 97, 197, 157, 248, 193, 23, 193, 76, 46, 141, 144, 70, 211, 45, 67, 167, 218, 129, 140, 104, 190, 41, 110, 249, 209, 68, 106, 135, 164, 80, 235, 63, 101, 80, 32, 13, 38, 99, 145, 91, 11, 173, 151, 231, 247, 65, 153, 117, 229, 167, 64, 239, 182, 126, 235, 83, 4, 169, 8, 8, 160, 4, 235, 252, 21, 96, 84, 161, 69, 145, 145, 215, 254, 161, 117, 246, 198, 65, 89, 179, 194, 90, 19, 121, 12, 202, 114, 80, 195, 14, 60, 128, 105, 142, 100, 86, 90, 108, 157, 219, 22, 172, 20, 121, 195, 25, 159, 236, 2, 70, 75, 42, 37, 34, 2, 17, 149, 20, 176, 32, 18, 204, 56, 117, 121, 34, 15, 3, 88, 123, 64, 68, 74, 233, 63, 59, 131, 222, 194, 192, 167, 110, 217, 10, 128, 73, 129, 172, 61, 43, 12, 98, 165, 203, 191, 154, 161, 150, 4, 239, 95, 48, 60, 159, 33, 222, 142, 102, 73, 193, 236, 145, 197, 160, 216, 254, 113, 243, 25, 244, 251, 192, 222, 35, 7, 114, 101, 35, 152, 151, 112, 24, 32, 94, 138, 71, 160, 91, 68, 131, 217, 117, 140, 19, 147, 37, 197, 192, 21, 43, 172, 239, 239, 205, 15, 110, 76, 26, 211, 42, 117, 4, 15, 135, 145, 247, 37, 73, 84, 164, 149, 250, 35, 0, 205, 105, 178, 143, 104, 98, 100, 250, 193, 154, 136, 175, 177, 109, 225, 207, 252, 147, 250, 250, 189, 117, 147, 101, 230, 132\n ];\n assert_eq(encrypted_log_from_typescript, log);\n }\n\n #[test]\n fn test_incoming_body_ciphertext_matches_typescript() {\n // All the values in this test were copied over from `encrypted_note_log_incoming_body.test.ts`\n let eph_sk = Scalar {\n lo: 0x00000000000000000000000000000000649e7ca01d9de27b21624098b897babd,\n hi: 0x0000000000000000000000000000000023b3127c127b1f29a7adff5cccf8fb06\n };\n let ivpk = IvpkM {\n inner: Point {\n x: 0x2688431c705a5ff3e6c6f2573c9e3ba1c1026d2251d0dbbf2d810aa53fd1d186,\n y: 0x1e96887b117afca01c00468264f4f80b5bb16d94c1808a448595f115556e5c8e,\n is_infinite: false\n }\n };\n let plaintext = [\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3\n ];\n\n // `compute_incoming_body_ciphertext(...)` function then derives symmetric key from `eph_sk` and `ivpk` and encrypts\n // the note plaintext using AES-128.\n let ciphertext = compute_incoming_body_ciphertext(plaintext, eph_sk, ivpk);\n\n // The following value was generated by `encrypted_note_log_incoming_body.test.ts`.\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let note_body_ciphertext_from_typescript = [\n 226, 240, 253, 6, 28, 52, 19, 131, 33, 132, 178, 212, 245, 62, 14, 190, 147, 228, 160, 190, 146, 61, 95, 203, 124, 153, 68, 168, 17, 150, 92, 0, 99, 214, 85, 64, 191, 78, 157, 131, 149, 96, 236, 253, 96, 172, 157, 30, 27, 176, 228, 74, 242, 190, 138, 48, 33, 93, 46, 37, 223, 130, 25, 245, 188, 163, 159, 223, 187, 24, 139, 206, 131, 154, 159, 130, 37, 17, 158, 114, 242, 141, 124, 193, 232, 54, 146, 96, 145, 100, 125, 234, 57, 43, 95, 115, 183, 39, 121, 232, 134, 229, 148, 25, 46, 77, 87, 127, 95, 7, 77, 188, 37, 234, 245, 142, 232, 87, 252, 28, 67, 67, 90, 214, 254, 89, 47, 68, 66, 187, 227, 8, 59, 162, 25, 141, 97, 141, 217, 197, 115, 15, 212, 202, 157, 41, 150, 62, 219, 57, 224, 92, 185, 212, 142, 94, 146, 41, 178, 145, 68, 169, 23, 185, 206, 138, 70, 47, 176, 210, 165, 236, 23, 206, 229, 108\n ];\n\n assert_eq(note_body_ciphertext_from_typescript.len(), ciphertext.len());\n\n for i in 0..note_body_ciphertext_from_typescript.len() {\n assert_eq(ciphertext[i], note_body_ciphertext_from_typescript[i]);\n }\n }\n\n #[test]\n fn test_encrypted_log_outgoing_body_matches_typescript() {\n let eph_sk = Scalar {\n lo: 0x00000000000000000000000000000000d0d302ee245dfaf2807e604eec4715fe,\n hi: 0x000000000000000000000000000000000f096b423017226a18461115fa8d34bb\n };\n let recipient_ivsk = Scalar {\n lo: 0x000000000000000000000000000000004828f8f95676ebb481df163f87fd4022,\n hi: 0x000000000000000000000000000000000f4d97c25d578f9348251a71ca17ae31\n };\n let sender_ovsk_app = Scalar {\n lo: 0x0000000000000000000000000000000074d2e28c6bc5176ac02cf7c7d36a444e,\n hi: 0x00000000000000000000000000000000089c6887cb1446d86c64e81afc78048b\n };\n\n let eph_pk = derive_public_key(eph_sk);\n let recipient_ivpk = IvpkM { inner: derive_public_key(recipient_ivsk) };\n\n let recipient = AztecAddress::from_field(0xdeadbeef);\n\n let ciphertext = compute_outgoing_body_ciphertext(recipient, recipient_ivpk, sender_ovsk_app, eph_sk, eph_pk);\n\n // The following value was generated by `encrypted_log_outgoing_body.test.ts`\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let outgoing_body_ciphertext_from_typescript = [\n 127, 182, 227, 75, 192, 197, 54, 47, 168, 134, 233, 148, 251, 46, 86, 12, 73, 50, 238, 50, 31, 174, 27, 202, 110, 77, 161, 197, 244, 124, 17, 100, 143, 150, 232, 14, 156, 248, 43, 177, 16, 82, 244, 103, 88, 74, 84, 200, 15, 65, 187, 14, 163, 60, 91, 22, 104, 31, 211, 190, 124, 121, 79, 92, 239, 65, 185, 106, 51, 178, 168, 137, 84, 43, 79, 158, 151, 152, 83, 42, 170, 13, 106, 209, 254, 74, 39, 145, 73, 215, 17, 234, 196, 89, 30, 58, 120, 127, 88, 69, 121, 61, 18, 206, 89, 118, 243, 238, 177, 71, 73, 47, 147, 4, 155, 25, 173, 248, 206, 52, 17, 180, 122, 186, 106, 191, 252, 102, 197, 91, 16, 39, 94, 91, 224, 30, 168, 177, 26, 144, 5, 124, 128, 6\n ];\n\n for i in 0..outgoing_body_ciphertext_from_typescript.len() {\n assert_eq(ciphertext[i], outgoing_body_ciphertext_from_typescript[i]);\n }\n assert_eq(outgoing_body_ciphertext_from_typescript.len(), ciphertext.len());\n }\n}\n"},"113":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/execution.nr","source":"use dep::protocol_types::address::AztecAddress;\n\n#[oracle(getContractAddress)]\nunconstrained fn get_contract_address_oracle() -> AztecAddress {}\n\n#[oracle(getBlockNumber)]\nunconstrained fn get_block_number_oracle() -> u32 {}\n\n#[oracle(getChainId)]\nunconstrained fn get_chain_id_oracle() -> Field {}\n\n#[oracle(getVersion)]\nunconstrained fn get_version_oracle() -> Field {}\n\nunconstrained pub fn get_contract_address() -> AztecAddress {\n get_contract_address_oracle()\n}\n\nunconstrained pub fn get_block_number() -> u32 {\n get_block_number_oracle()\n}\n\nunconstrained pub fn get_chain_id() -> Field {\n get_chain_id_oracle()\n}\n\nunconstrained pub fn get_version() -> Field {\n get_version_oracle()\n}\n"},"114":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/key_validation_request.nr","source":"use dep::protocol_types::abis::validation_requests::{KeyValidationRequest, key_validation_request::KEY_VALIDATION_REQUEST_LENGTH};\n\n#[oracle(getKeyValidationRequest)]\nunconstrained fn get_key_validation_request_oracle(\n _pk_m_hash: Field,\n _key_index: Field\n) -> [Field; KEY_VALIDATION_REQUEST_LENGTH] {}\n\nunconstrained fn get_key_validation_request_internal(\n npk_m_hash: Field,\n key_index: Field\n) -> KeyValidationRequest {\n let result = get_key_validation_request_oracle(npk_m_hash, key_index);\n KeyValidationRequest::deserialize(result)\n}\n\nunconstrained pub fn get_key_validation_request(\n pk_m_hash: Field,\n key_index: Field\n) -> KeyValidationRequest {\n get_key_validation_request_internal(pk_m_hash, key_index)\n}\n"},"116":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/random.nr","source":"/// Returns an unconstrained random value. Note that it is not possible to constrain this value to prove that it is\n/// truly random: we assume that the oracle is cooperating and returning random values.\n/// In some applications this behavior might not be acceptable and other techniques might be more suitable, such as\n/// producing pseudo-random values by hashing values outside of user control (like block hashes) or secrets.\nunconstrained pub fn random() -> Field {\n rand_oracle()\n}\n\n#[oracle(getRandomField)]\nunconstrained fn rand_oracle() -> Field {}\n"},"117":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/notes.nr","source":"use crate::note::{note_header::NoteHeader, note_interface::NoteInterface};\n\nuse dep::protocol_types::{address::AztecAddress, utils::arr_copy_slice};\n\n/// Notifies the simulator that a note has been created, so that it can be returned in future read requests in the same\n/// transaction. This note should only be added to the non-volatile database if found in an actual block.\npub fn notify_created_note(\n storage_slot: Field,\n note_type_id: Field,\n serialized_note: [Field; N],\n note_hash: Field,\n counter: u32\n) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n notify_created_note_oracle_wrapper(storage_slot, note_type_id, serialized_note, note_hash, counter)\n };\n}\n\n/// Notifies the simulator that a note has been nullified, so that it is no longer returned in future read requests in\n/// the same transaction. This note should only be removed to the non-volatile database if its nullifier is found in an\n/// actual block.\npub fn notify_nullified_note(nullifier: Field, note_hash: Field, counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n notify_nullified_note_oracle_wrapper(nullifier, note_hash, counter)\n };\n}\n\nunconstrained fn notify_created_note_oracle_wrapper(\n storage_slot: Field,\n note_type_id: Field,\n serialized_note: [Field; N],\n note_hash: Field,\n counter: u32\n) {\n let _ = notify_created_note_oracle(storage_slot, note_type_id, serialized_note, note_hash, counter);\n}\n\n#[oracle(notifyCreatedNote)]\nunconstrained fn notify_created_note_oracle(\n _storage_slot: Field,\n _note_type_id: Field,\n _serialized_note: [Field; N],\n _note_hash: Field,\n _counter: u32\n) -> Field {}\n\nunconstrained fn notify_nullified_note_oracle_wrapper(\n nullifier: Field,\n note_hash: Field,\n counter: u32\n) {\n let _ = notify_nullified_note_oracle(nullifier, note_hash, counter);\n}\n\n#[oracle(notifyNullifiedNote)]\nunconstrained fn notify_nullified_note_oracle(_nullifier: Field, _note_hash: Field, _counter: u32) -> Field {}\n\n#[oracle(getNotes)]\nunconstrained fn get_notes_oracle(\n _storage_slot: Field,\n _num_selects: u8,\n _select_by_indexes: [u8; N],\n _select_by_offsets: [u8; N],\n _select_by_lengths: [u8; N],\n _select_values: [Field; N],\n _select_comparators: [u8; N],\n _sort_by_indexes: [u8; N],\n _sort_by_offsets: [u8; N],\n _sort_by_lengths: [u8; N],\n _sort_order: [u8; N],\n _limit: u32,\n _offset: u32,\n _status: u8,\n _return_size: u32,\n _placeholder_fields: [Field; S]\n) -> [Field; S] {}\n\nunconstrained fn get_notes_oracle_wrapper(\n storage_slot: Field,\n num_selects: u8,\n select_by_indexes: [u8; N],\n select_by_offsets: [u8; N],\n select_by_lengths: [u8; N],\n select_values: [Field; N],\n select_comparators: [u8; N],\n sort_by_indexes: [u8; N],\n sort_by_offsets: [u8; N],\n sort_by_lengths: [u8; N],\n sort_order: [u8; N],\n limit: u32,\n offset: u32,\n status: u8,\n mut placeholder_fields: [Field; S]\n) -> [Field; S] {\n let return_size = placeholder_fields.len() as u32;\n get_notes_oracle(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n limit,\n offset,\n status,\n return_size,\n placeholder_fields\n )\n}\n\nunconstrained pub fn get_notes(\n storage_slot: Field,\n num_selects: u8,\n select_by_indexes: [u8; M],\n select_by_offsets: [u8; M],\n select_by_lengths: [u8; M],\n select_values: [Field; M],\n select_comparators: [u8; M],\n sort_by_indexes: [u8; M],\n sort_by_offsets: [u8; M],\n sort_by_lengths: [u8; M],\n sort_order: [u8; M],\n limit: u32,\n offset: u32,\n status: u8,\n mut placeholder_opt_notes: [Option; S], // TODO: Remove it and use `limit` to initialize the note array.\n placeholder_fields: [Field; NS], // TODO: Remove it and use `limit` to initialize the note array.\n _placeholder_note_length: [Field; N] // Turbofish hack? Compiler breaks calculating read_offset unless we add this parameter\n) -> [Option; S] where Note: NoteInterface {\n let fields = get_notes_oracle_wrapper(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n limit,\n offset,\n status,\n placeholder_fields\n );\n let num_notes = fields[0] as u32;\n let contract_address = AztecAddress::from_field(fields[1]);\n for i in 0..placeholder_opt_notes.len() {\n if i < num_notes {\n // lengths named as per typescript.\n let return_header_length: u32 = 2; // num_notes & contract_address.\n let extra_preimage_length: u32 = 2; // nonce & note_hash_counter.\n let read_offset: u32 = return_header_length + i * (N + extra_preimage_length);\n let nonce = fields[read_offset];\n let note_hash_counter = fields[read_offset + 1] as u32;\n let header = NoteHeader { contract_address, nonce, storage_slot, note_hash_counter };\n let serialized_note = arr_copy_slice(fields, [0; N], read_offset + 2);\n let mut note = Note::deserialize_content(serialized_note);\n note.set_header(header);\n placeholder_opt_notes[i] = Option::some(note);\n };\n }\n placeholder_opt_notes\n}\n\n/// Returns true if the nullifier exists. Note that a `true` value can be constrained by proving existence of the\n/// nullifier, but a `false` value should not be relied upon since other transactions may emit this nullifier before the\n/// current transaction is included in a block. While this might seem of little use at first, certain design patterns\n/// benefit from this abstraction (see e.g. `PrivateMutable`).\nunconstrained pub fn check_nullifier_exists(inner_nullifier: Field) -> bool {\n check_nullifier_exists_oracle(inner_nullifier) == 1\n}\n\n#[oracle(checkNullifierExists)]\nunconstrained fn check_nullifier_exists_oracle(_inner_nullifier: Field) -> Field {}\n"},"119":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/keys.nr","source":"use crate::keys::{PublicKeys, public_keys::{NpkM, IvpkM, OvpkM, TpkM}};\nuse dep::protocol_types::{address::{AztecAddress, PartialAddress}, point::Point};\n\n#[oracle(getPublicKeysAndPartialAddress)]\nunconstrained fn get_public_keys_and_partial_address_oracle(_address: AztecAddress) -> [Field; 13] {}\n\nunconstrained pub fn get_public_keys_and_partial_address(address: AztecAddress) -> (PublicKeys, PartialAddress) {\n let result = get_public_keys_and_partial_address_oracle(address);\n\n let keys = PublicKeys {\n npk_m: NpkM { inner: Point { x: result[0], y: result[1], is_infinite: result[2] as bool } },\n ivpk_m: IvpkM { inner: Point { x: result[3], y: result[4], is_infinite: result[5] as bool } },\n ovpk_m: OvpkM { inner: Point { x: result[6], y: result[7], is_infinite: result[8] as bool } },\n tpk_m: TpkM { inner: Point { x: result[9], y: result[10], is_infinite: result[11] as bool } }\n };\n\n let partial_address = PartialAddress::from_field(result[12]);\n\n (keys, partial_address)\n}\n"},"123":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/logs.nr","source":"use dep::protocol_types::address::AztecAddress;\n\n/// Informs the simulator that an encrypted note log has been emitted, helping it keep track of side-effects and easing\n/// debugging.\npub fn emit_encrypted_note_log(note_hash_counter: u32, encrypted_note: [u8; M], counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n emit_encrypted_note_log_oracle_wrapper(note_hash_counter, encrypted_note, counter)\n }\n}\n\n/// Informs the simulator that an encrypted event log has been emitted, helping it keep track of side-effects and easing\n/// debugging.\npub fn emit_encrypted_event_log(contract_address: AztecAddress, randomness: Field, encrypted_event: [u8; M], counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n emit_encrypted_event_log_oracle_wrapper(contract_address, randomness, encrypted_event, counter)\n }\n}\n\n/// Informs the simulator that an unencrypted log has been emitted, helping it keep track of side-effects and easing\n/// debugging.\npub fn emit_unencrypted_log_private(contract_address: AztecAddress, message: T, counter: u32) {\n // This oracle call returns nothing: we only call it for its side effects. It is therefore always safe to call.\n unsafe {\n emit_unencrypted_log_private_oracle_wrapper(contract_address, message, counter)\n }\n}\n\nunconstrained fn emit_encrypted_note_log_oracle_wrapper(note_hash_counter: u32, encrypted_note: [u8; M], counter: u32) {\n emit_encrypted_note_log_oracle(note_hash_counter, encrypted_note, counter)\n}\n\nunconstrained fn emit_encrypted_event_log_oracle_wrapper(\n contract_address: AztecAddress,\n randomness: Field,\n encrypted_event: [u8; M],\n counter: u32\n) {\n emit_encrypted_event_log_oracle(contract_address, randomness, encrypted_event, counter)\n}\n\nunconstrained fn emit_unencrypted_log_private_oracle_wrapper(contract_address: AztecAddress, message: T, counter: u32) {\n let _ = emit_unencrypted_log_private_oracle(contract_address, message, counter);\n}\n\n/// Temporary substitute for `emit_unencrypted_log_private` that is used for handling contract class registration. This\n/// variant returns the log hash, which would be too large to compute inside a circuit.\nunconstrained pub fn emit_contract_class_unencrypted_log_private(\n contract_address: AztecAddress,\n message: [Field; N],\n counter: u32\n) -> Field {\n emit_contract_class_unencrypted_log_private_oracle(contract_address, message, counter)\n}\n\n// = 480 + 32 * N bytes\n#[oracle(emitEncryptedNoteLog)]\nunconstrained fn emit_encrypted_note_log_oracle(\n _note_hash_counter: u32,\n _encrypted_note: [u8; M],\n _counter: u32\n) {}\n\n#[oracle(emitEncryptedEventLog)]\nunconstrained fn emit_encrypted_event_log_oracle(\n _contract_address: AztecAddress,\n _randomness: Field,\n _encrypted_event: [u8; M],\n _counter: u32\n) {}\n\n#[oracle(emitUnencryptedLog)]\nunconstrained fn emit_unencrypted_log_private_oracle(\n _contract_address: AztecAddress,\n _message: T,\n _counter: u32\n) -> Field {}\n\n#[oracle(emitContractClassUnencryptedLog)]\nunconstrained fn emit_contract_class_unencrypted_log_private_oracle(\n contract_address: AztecAddress,\n message: [Field; N],\n counter: u32\n) -> Field {}\n"},"127":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/oracle/get_contract_instance.nr","source":"use dep::protocol_types::{\n address::AztecAddress, contract_instance::ContractInstance, constants::CONTRACT_INSTANCE_LENGTH,\n utils::reader::Reader\n};\n\n#[oracle(getContractInstance)]\nunconstrained fn get_contract_instance_oracle(_address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH] {}\n\n// Returns a ContractInstance plus a boolean indicating whether the instance was found.\n#[oracle(avmOpcodeGetContractInstance)]\nunconstrained fn get_contract_instance_oracle_avm(_address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH + 1] {}\n\nunconstrained fn get_contract_instance_internal(address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH] {\n get_contract_instance_oracle(address)\n}\n\nunconstrained pub fn get_contract_instance_internal_avm(address: AztecAddress) -> [Field; CONTRACT_INSTANCE_LENGTH + 1] {\n get_contract_instance_oracle_avm(address)\n}\n\npub fn get_contract_instance(address: AztecAddress) -> ContractInstance {\n let instance = unsafe {\n ContractInstance::deserialize(get_contract_instance_internal(address))\n };\n // The to_address function combines all values in the instance object to produce an address, so by checking that we\n // get the expected address we validate the entire struct.\n assert_eq(instance.to_address(), address);\n\n instance\n}\n\npub fn get_contract_instance_avm(address: AztecAddress) -> Option {\n let mut reader = Reader::new(get_contract_instance_internal_avm(address));\n let found = reader.read();\n if found == 0 {\n Option::none()\n } else {\n Option::some(reader.read_struct(ContractInstance::deserialize))\n }\n}\n"},"135":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/utils/point.nr","source":"use dep::protocol_types::point::Point;\n\n// I am storing the modulus divided by 2 plus 1 here because full modulus would throw \"String literal too large\" error\n// Full modulus is 21888242871839275222246405745257275088548364400416034343698204186575808495617\nglobal BN254_FR_MODULUS_DIV_2: Field = 10944121435919637611123202872628637544274182200208017171849102093287904247808;\n\n/// Converts a public key to a byte array.\n///\n/// We don't serialize the point at infinity flag because this function is used in situations where we do not want\n/// to waste the extra byte (encrypted log).\npub fn point_to_bytes(pk: Point) -> [u8; 32] {\n // Note that there is 1 more free bit in the 32 bytes (254 bits currently occupied by the x coordinate, 1 bit for\n // the \"sign\") so it's possible to use that last bit as an \"is_infinite\" flag if desired in the future.\n assert(!pk.is_infinite, \"Cannot serialize point at infinity as bytes.\");\n\n let mut result: [u8; 32] = pk.x.to_be_bytes();\n\n // We store only a \"sign\" of the y coordinate because the rest can be derived from the x coordinate. To get\n // the sign we check if the y coordinate is less or equal than the curve's order minus 1 divided by 2.\n // Ideally we'd do `y <= MOD_DIV_2`, but there's no `lte` function, so instead we do `!(y > MOD_DIV_2)`, which is\n // equivalent, and then rewrite that as `!(MOD_DIV_2 < y)`, since we also have no `gt` function.\n if !BN254_FR_MODULUS_DIV_2.lt(pk.y) {\n // y is <= (modulus - 1) / 2 so we set the sign bit to 1\n // Here we leverage that field fits into 254 bits (log2(Fr.MODULUS) < 254) and given that we serialize Fr to 32\n // bytes and we use big-endian the 2 most significant bits are never populated. Hence we can use one of\n // the bits as a sign bit.\n result[0] += 128;\n }\n\n result\n}\n\nmod test {\n use dep::protocol_types::point::Point;\n use crate::utils::point::point_to_bytes;\n\n #[test]\n unconstrained fn test_point_to_bytes_positive_sign() {\n let p = Point {\n x: 0x1af41f5de96446dc3776a1eb2d98bb956b7acd9979a67854bec6fa7c2973bd73,\n y: 0x07fc22c7f2c7057571f137fe46ea9c95114282bc95d37d71ec4bfb88de457d4a,\n is_infinite: false\n };\n\n let compressed_point = point_to_bytes(p);\n\n let expected_compressed_point_positive_sign = [\n 154, 244, 31, 93, 233, 100, 70, 220, 55, 118, 161, 235, 45, 152, 187, 149, 107, 122, 205, 153, 121, 166, 120, 84, 190, 198, 250, 124, 41, 115, 189, 115\n ];\n\n assert_eq(expected_compressed_point_positive_sign.len(), compressed_point.len());\n for i in 0..expected_compressed_point_positive_sign.len() {\n assert_eq(compressed_point[i], expected_compressed_point_positive_sign[i]);\n }\n }\n\n #[test]\n unconstrained fn test_point_to_bytes_negative_sign() {\n let p = Point {\n x: 0x247371652e55dd74c9af8dbe9fb44931ba29a9229994384bd7077796c14ee2b5,\n y: 0x26441aec112e1ae4cee374f42556932001507ad46e255ffb27369c7e3766e5c0,\n is_infinite: false\n };\n\n let compressed_point = point_to_bytes(p);\n\n let expected_compressed_point_negative_sign = [\n 36, 115, 113, 101, 46, 85, 221, 116, 201, 175, 141, 190, 159, 180, 73, 49, 186, 41, 169, 34, 153, 148, 56, 75, 215, 7, 119, 150, 193, 78, 226, 181\n ];\n\n assert_eq(expected_compressed_point_negative_sign.len(), compressed_point.len());\n for i in 0..expected_compressed_point_negative_sign.len() {\n assert_eq(compressed_point[i], expected_compressed_point_negative_sign[i]);\n }\n }\n}\n"},"153":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/initializer.nr","source":"use dep::protocol_types::{\n address::AztecAddress, hash::poseidon2_hash_with_separator, constants::GENERATOR_INDEX__CONSTRUCTOR,\n abis::function_selector::FunctionSelector\n};\n\nuse crate::{\n context::{PrivateContext, PublicContext}, oracle::get_contract_instance::get_contract_instance,\n oracle::get_contract_instance::get_contract_instance_avm\n};\n\npub fn mark_as_initialized_public(context: &mut PublicContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier((*context).this_address());\n context.push_nullifier(init_nullifier);\n}\n\npub fn mark_as_initialized_private(context: &mut PrivateContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier((*context).this_address());\n context.push_nullifier(init_nullifier);\n}\n\npub fn assert_is_initialized_public(context: &mut PublicContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier(context.this_address());\n assert(context.nullifier_exists(init_nullifier, context.this_address()), \"Not initialized\");\n}\n\npub fn assert_is_initialized_private(context: &mut PrivateContext) {\n let init_nullifier = compute_unsiloed_contract_initialization_nullifier(context.this_address());\n context.push_nullifier_read_request(init_nullifier);\n}\n\nfn compute_unsiloed_contract_initialization_nullifier(address: AztecAddress) -> Field {\n address.to_field()\n}\n\npub fn assert_initialization_matches_address_preimage_public(context: PublicContext) {\n let address = context.this_address();\n let instance = get_contract_instance_avm(address).unwrap();\n let expected_init = compute_initialization_hash(context.selector(), context.get_args_hash());\n assert(instance.initialization_hash == expected_init, \"Initialization hash does not match\");\n assert(\n (instance.deployer.is_zero()) | (instance.deployer == context.msg_sender()), \"Initializer address is not the contract deployer\"\n );\n}\n\npub fn assert_initialization_matches_address_preimage_private(context: PrivateContext) {\n let address = context.this_address();\n let instance = get_contract_instance(address);\n let expected_init = compute_initialization_hash(context.selector(), context.get_args_hash());\n assert(instance.initialization_hash == expected_init, \"Initialization hash does not match\");\n assert(\n (instance.deployer.is_zero()) | (instance.deployer == context.msg_sender()), \"Initializer address is not the contract deployer\"\n );\n}\n\npub fn compute_initialization_hash(init_selector: FunctionSelector, init_args_hash: Field) -> Field {\n poseidon2_hash_with_separator(\n [init_selector.to_field(), init_args_hash],\n GENERATOR_INDEX__CONSTRUCTOR\n )\n}\n"},"154":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/hash.nr","source":"use dep::protocol_types::{\n address::{AztecAddress, EthAddress},\n constants::{GENERATOR_INDEX__SECRET_HASH, GENERATOR_INDEX__MESSAGE_NULLIFIER, GENERATOR_INDEX__FUNCTION_ARGS},\n point::Point, traits::Hash,\n hash::{sha256_to_field, poseidon2_hash_with_separator, poseidon2_hash_with_separator_slice}\n};\nuse crate::utils::to_bytes::{arr_to_be_bytes_arr, str_to_be_bytes_arr};\n\npub use dep::protocol_types::hash::{compute_siloed_nullifier, pedersen_hash};\n\npub fn pedersen_commitment(inputs: [Field; N], hash_index: u32) -> Point {\n std::hash::pedersen_commitment_with_separator(inputs, hash_index)\n}\n\npub fn compute_secret_hash(secret: Field) -> Field {\n poseidon2_hash_with_separator([secret], GENERATOR_INDEX__SECRET_HASH)\n}\n\npub fn compute_unencrypted_log_hash(contract_address: AztecAddress, log: [u8; N]) -> Field {\n let mut hash_bytes = [0; N + 36];\n // Address is converted to 32 bytes in ts\n let address_bytes: [u8; 32] = contract_address.to_field().to_be_bytes();\n for i in 0..32 {\n hash_bytes[i] = address_bytes[i];\n }\n let len_bytes: [u8; 4] = (N as Field).to_be_bytes();\n for i in 0..4 {\n hash_bytes[32 + i] = len_bytes[i];\n }\n for i in 0..N {\n hash_bytes[36 + i] = log[i];\n }\n\n sha256_to_field(hash_bytes)\n}\n\npub fn compute_message_hash(\n sender: EthAddress,\n chain_id: Field,\n recipient: AztecAddress,\n version: Field,\n content: Field,\n secret_hash: Field\n) -> Field {\n let mut hash_bytes = [0 as u8; 192];\n let sender_bytes: [u8; 32] = sender.to_field().to_be_bytes();\n let chain_id_bytes: [u8; 32] = chain_id.to_be_bytes();\n let recipient_bytes: [u8; 32] = recipient.to_field().to_be_bytes();\n let version_bytes: [u8; 32] = version.to_be_bytes();\n let content_bytes: [u8; 32] = content.to_be_bytes();\n let secret_hash_bytes: [u8; 32] = secret_hash.to_be_bytes();\n\n for i in 0..32 {\n hash_bytes[i] = sender_bytes[i];\n hash_bytes[i + 32] = chain_id_bytes[i];\n hash_bytes[i + 64] = recipient_bytes[i];\n hash_bytes[i + 96] = version_bytes[i];\n hash_bytes[i + 128] = content_bytes[i];\n hash_bytes[i + 160] = secret_hash_bytes[i];\n }\n\n sha256_to_field(hash_bytes)\n}\n\n// The nullifier of a l1 to l2 message is the hash of the message salted with the secret and index of the message hash\n// in the L1 to L2 message tree\npub fn compute_message_nullifier(message_hash: Field, secret: Field, leaf_index: Field) -> Field {\n poseidon2_hash_with_separator(\n [message_hash, secret, leaf_index],\n GENERATOR_INDEX__MESSAGE_NULLIFIER\n )\n}\n\npub struct ArgsHasher {\n fields: [Field],\n}\n\nimpl Hash for ArgsHasher {\n fn hash(self) -> Field {\n hash_args(self.fields)\n }\n}\n\nimpl ArgsHasher {\n pub fn new() -> Self {\n Self { fields: [] }\n }\n\n pub fn add(&mut self, field: Field) {\n self.fields = self.fields.push_back(field);\n }\n\n pub fn add_multiple(&mut self, fields: [Field; N]) {\n for i in 0..N {\n self.fields = self.fields.push_back(fields[i]);\n }\n }\n}\n\npub fn hash_args_array(args: [Field; N]) -> Field {\n if args.len() == 0 {\n 0\n } else {\n poseidon2_hash_with_separator(args, GENERATOR_INDEX__FUNCTION_ARGS)\n }\n}\n\npub fn hash_args(args: [Field]) -> Field {\n if args.len() == 0 {\n 0\n } else {\n poseidon2_hash_with_separator_slice(args, GENERATOR_INDEX__FUNCTION_ARGS)\n }\n}\n\n#[test]\nunconstrained fn compute_var_args_hash() {\n let mut input = ArgsHasher::new();\n for i in 0..100 {\n input.add(i as Field);\n }\n let hash = input.hash();\n dep::std::println(hash);\n assert(hash == 0x19b0d74feb06ebde19edd85a28986c97063e84b3b351a8b666c7cac963ce655f);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_array() {\n let contract_address = AztecAddress::from_field(0x233a3e0df23b2b15b324194cb4a151f26c0b7333250781d34cc269d85dc334c6);\n let log = [\n 0x20660de09f35f876e3e69d227b2a35166ad05f09d82d06366ec9b6f65a51fec2,\n 0x1b52bfe3b8689761916f76dc3d38aa8810860db325cd39ca611eed980091f01c,\n 0x2e559c4045c378a56ad13b9edb1e8de4e7ad3b3aa35cc7ba9ec77f7a68fa43a4,\n 0x25d0f689c4a4178a29d59306f2675824d19be6d25e44fa03b03f49c263053dd2,\n 0x2d513a722d6f352dc0961f156afdc5e31495b9f0e35cb069261a8e55e2df67fd\n ];\n let serialized_log = arr_to_be_bytes_arr(log);\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x0095b2d17ab72f4b27a341f7ac63e49ec73935ae8c9181a0ac02023eb12f3284);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_addr() {\n let contract_address = AztecAddress::from_field(0x233a3e0df23b2b15b324194cb4a151f26c0b7333250781d34cc269d85dc334c6);\n let log = AztecAddress::from_field(0x26aa302d4715fd8a687453cb26d616b0768027bd54bcae56b09d908ecd9f8303);\n let serialized_log: [u8; 32] = log.to_field().to_be_bytes();\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x0083ab647dfb26e7ddee90a0f4209d049d4660cab42000c544b986aaa84c55a3);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_str() {\n let contract_address = AztecAddress::from_field(0x1b401e1146c5c507962287065c81f0ef7590adae3802c533d7549d6bf0a41bd8);\n let log = \"dummy\";\n let serialized_log = str_to_be_bytes_arr(log);\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x00629e88ebd6374f44aa6cfe07e251ecf07213ebc7267e8f6b578ae57ffd6c20);\n}\n\n#[test]\nunconstrained fn compute_unenc_log_hash_longer_str() {\n let contract_address = AztecAddress::from_field(0x1b401e1146c5c507962287065c81f0ef7590adae3802c533d7549d6bf0a41bd8);\n let log = \"Hello this is a string\";\n let serialized_log = str_to_be_bytes_arr(log);\n let hash = compute_unencrypted_log_hash(contract_address, serialized_log);\n assert(hash == 0x0098637962f7d34fa202b7ffad8a07a238c5d1fd897b82a108f7f467fa73b841);\n}\n"},"157":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/keys/point_to_symmetric_key.nr","source":"use dep::protocol_types::{constants::GENERATOR_INDEX__SYMMETRIC_KEY, scalar::Scalar, point::Point, utils::arr_copy_slice};\nuse crate::utils::point::point_to_bytes;\nuse std::{hash::sha256, embedded_curve_ops::multi_scalar_mul};\n\n// TODO(#5726): This function is called deriveAESSecret in TS. I don't like point_to_symmetric_key name much since\n// point is not the only input of the function. Unify naming with TS once we have a better name.\npub fn point_to_symmetric_key(secret: Scalar, point: Point) -> [u8; 32] {\n let shared_secret: Point = multi_scalar_mul([point], [secret]);\n let shared_secret = point_to_bytes(shared_secret);\n let mut shared_secret_bytes_with_separator = [0 as u8; 33];\n shared_secret_bytes_with_separator = arr_copy_slice(shared_secret, shared_secret_bytes_with_separator, 0);\n shared_secret_bytes_with_separator[32] = GENERATOR_INDEX__SYMMETRIC_KEY;\n sha256(shared_secret_bytes_with_separator)\n}\n\n#[test]\nunconstrained fn test_point_to_symmetric_key_matches_noir() {\n // Value taken from \"derive shared secret\" test in encrypt_buffer.test.ts\n let secret = Scalar {\n lo: 0x00000000000000000000000000000000649e7ca01d9de27b21624098b897babd,\n hi: 0x0000000000000000000000000000000023b3127c127b1f29a7adff5cccf8fb06\n };\n let point = Point {\n x: 0x2688431c705a5ff3e6c6f2573c9e3ba1c1026d2251d0dbbf2d810aa53fd1d186,\n y: 0x1e96887b117afca01c00468264f4f80b5bb16d94c1808a448595f115556e5c8e,\n is_infinite: false\n };\n\n let key = point_to_symmetric_key(secret, point);\n\n // The following value was generated by `encrypt_buffer.test.ts`.\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let key_from_typescript = [\n 251, 232, 177, 34, 2, 174, 35, 92, 165, 118, 168, 3, 153, 140, 46, 210, 203, 154, 184, 158, 236, 33, 95, 77, 93, 120, 72, 88, 190, 209, 64, 159\n ];\n assert_eq(key, key_from_typescript);\n}\n"},"159":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/keys/getters/mod.nr","source":"use dep::protocol_types::address::AztecAddress;\nuse crate::{\n oracle::{keys::get_public_keys_and_partial_address, key_validation_request::get_key_validation_request},\n keys::{public_keys::PublicKeys, constants::{NULLIFIER_INDEX, OUTGOING_INDEX}}\n};\n\nmod test;\n\nunconstrained pub fn get_nsk_app(npk_m_hash: Field) -> Field {\n get_key_validation_request(npk_m_hash, NULLIFIER_INDEX).sk_app\n}\n\n// A helper function that gets app-siloed outgoing viewing key for a given `ovpk_m_hash`. This function is used\n// in unconstrained contexts only - when computing unconstrained note logs. The safe alternative is `request_ovsk_app`\n// function defined on `PrivateContext`.\nunconstrained pub fn get_ovsk_app(ovpk_m_hash: Field) -> Field {\n get_key_validation_request(ovpk_m_hash, OUTGOING_INDEX).sk_app\n}\n\n// Returns all public keys for a given account, applying proper constraints to the context. We read all\n// keys at once since the constraints for reading them all are actually fewer than if we read them one at a time - any\n// read keys that are not required by the caller can simply be discarded.\npub fn get_public_keys(account: AztecAddress) -> PublicKeys {\n let (hinted_canonical_public_keys, partial_address) = unsafe {\n get_public_keys_and_partial_address(account)\n };\n assert_eq(\n account, AztecAddress::compute(hinted_canonical_public_keys.hash(), partial_address), \"Invalid public keys hint for address\"\n );\n\n hinted_canonical_public_keys\n}\n"},"160":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/keys/public_keys.nr","source":"use dep::protocol_types::{\n address::PublicKeysHash, constants::GENERATOR_INDEX__PUBLIC_KEYS_HASH,\n hash::poseidon2_hash_with_separator, point::{Point, POINT_LENGTH},\n traits::{Deserialize, Serialize, Empty, is_empty, Hash}\n};\n\nglobal PUBLIC_KEYS_LENGTH: u32 = 12;\n\npub struct PublicKeys {\n npk_m: NpkM,\n ivpk_m: IvpkM,\n ovpk_m: OvpkM,\n tpk_m: TpkM,\n}\n\npub trait ToPoint {\n fn to_point(self) -> Point;\n}\n\npub struct NpkM {\n inner: Point\n}\n\nimpl ToPoint for NpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Serialize for NpkM {\n fn serialize(self) -> [Field; POINT_LENGTH] {\n self.inner.serialize()\n }\n}\n\n// Note: If we store npk_m_hash directly we can remove this trait implementation. See #8091\nimpl Hash for NpkM {\n fn hash(self) -> Field {\n self.inner.hash()\n }\n}\n\npub struct IvpkM {\n inner: Point\n}\n\nimpl ToPoint for IvpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Serialize for IvpkM {\n fn serialize(self) -> [Field; POINT_LENGTH] {\n self.inner.serialize()\n }\n}\n\npub struct OvpkM {\n inner: Point\n}\n\nimpl Hash for OvpkM {\n fn hash(self) -> Field {\n self.inner.hash()\n }\n}\n\nimpl ToPoint for OvpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Serialize for OvpkM {\n fn serialize(self) -> [Field; POINT_LENGTH] {\n self.inner.serialize()\n }\n}\n\npub struct TpkM {\n inner: Point\n}\n\nimpl ToPoint for TpkM {\n fn to_point(self) -> Point {\n self.inner\n }\n}\n\nimpl Empty for PublicKeys {\n fn empty() -> Self {\n PublicKeys {\n npk_m: NpkM { inner: Point::empty() },\n ivpk_m: IvpkM { inner: Point::empty() },\n ovpk_m: OvpkM { inner: Point::empty() },\n tpk_m: TpkM { inner: Point::empty() }\n }\n }\n}\n\nimpl Eq for PublicKeys {\n fn eq(self, other: PublicKeys) -> bool {\n (self.npk_m.inner == other.npk_m.inner)\n & (self.ivpk_m.inner == other.ivpk_m.inner)\n & (self.ovpk_m.inner == other.ovpk_m.inner)\n & (self.tpk_m.inner == other.tpk_m.inner)\n }\n}\n\nimpl PublicKeys {\n pub fn hash(self) -> PublicKeysHash {\n PublicKeysHash::from_field(\n if is_empty(self) {\n 0\n } else {\n poseidon2_hash_with_separator(self.serialize(), GENERATOR_INDEX__PUBLIC_KEYS_HASH as Field)\n }\n )\n }\n}\n\nimpl Serialize for PublicKeys {\n fn serialize(self) -> [Field; PUBLIC_KEYS_LENGTH] {\n [\n self.npk_m.inner.x,\n self.npk_m.inner.y,\n self.npk_m.inner.is_infinite as Field,\n self.ivpk_m.inner.x,\n self.ivpk_m.inner.y,\n self.ivpk_m.inner.is_infinite as Field,\n self.ovpk_m.inner.x,\n self.ovpk_m.inner.y,\n self.ovpk_m.inner.is_infinite as Field,\n self.tpk_m.inner.x,\n self.tpk_m.inner.y,\n self.tpk_m.inner.is_infinite as Field\n ]\n }\n}\n\nimpl Deserialize for PublicKeys {\n fn deserialize(serialized: [Field; PUBLIC_KEYS_LENGTH]) -> PublicKeys {\n PublicKeys {\n npk_m: NpkM { inner: Point { x: serialized[0], y: serialized[1], is_infinite: serialized[2] as bool } },\n ivpk_m: IvpkM { inner: Point { x: serialized[3], y: serialized[4], is_infinite: serialized[5] as bool } },\n ovpk_m: OvpkM { inner: Point { x: serialized[6], y: serialized[7], is_infinite: serialized[8] as bool } },\n tpk_m: TpkM { inner: Point { x: serialized[9], y: serialized[10], is_infinite: serialized[11] as bool } }\n }\n }\n}\n\n#[test]\nunconstrained fn compute_public_keys_hash() {\n let keys = PublicKeys {\n npk_m: NpkM { inner: Point { x: 1, y: 2, is_infinite: false } },\n ivpk_m: IvpkM { inner: Point { x: 3, y: 4, is_infinite: false } },\n ovpk_m: OvpkM { inner: Point { x: 5, y: 6, is_infinite: false } },\n tpk_m: TpkM { inner: Point { x: 7, y: 8, is_infinite: false } }\n };\n\n let actual = keys.hash();\n let expected_public_keys_hash = 0x0fecd9a32db731fec1fded1b9ff957a1625c069245a3613a2538bd527068b0ad;\n\n assert(actual.to_field() == expected_public_keys_hash);\n}\n\n#[test]\nunconstrained fn compute_empty_hash() {\n let keys = PublicKeys::empty();\n\n let actual = keys.hash();\n let test_data_empty_hash = 0x0000000000000000000000000000000000000000000000000000000000000000;\n\n assert(actual.to_field() == test_data_empty_hash);\n}\n\n#[test]\nunconstrained fn test_public_keys_serialization() {\n let keys = PublicKeys {\n npk_m: NpkM { inner: Point { x: 1, y: 2, is_infinite: false } },\n ivpk_m: IvpkM { inner: Point { x: 3, y: 4, is_infinite: false } },\n ovpk_m: OvpkM { inner: Point { x: 5, y: 6, is_infinite: false } },\n tpk_m: TpkM { inner: Point { x: 7, y: 8, is_infinite: false } }\n };\n\n let serialized = keys.serialize();\n let deserialized = PublicKeys::deserialize(serialized);\n\n assert_eq(keys.npk_m.inner.x, deserialized.npk_m.inner.x);\n assert_eq(keys.npk_m.inner.y, deserialized.npk_m.inner.y);\n assert_eq(keys.ivpk_m.inner.x, deserialized.ivpk_m.inner.x);\n assert_eq(keys.ivpk_m.inner.y, deserialized.ivpk_m.inner.y);\n assert_eq(keys.ovpk_m.inner.x, deserialized.ovpk_m.inner.x);\n assert_eq(keys.ovpk_m.inner.y, deserialized.ovpk_m.inner.y);\n assert_eq(keys.tpk_m.inner.x, deserialized.tpk_m.inner.x);\n assert_eq(keys.tpk_m.inner.y, deserialized.tpk_m.inner.y);\n}\n"},"168":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/state_vars/map.nr","source":"use dep::protocol_types::{storage::map::derive_storage_slot_in_map, traits::ToField};\nuse crate::state_vars::storage::Storage;\n\n// docs:start:map\npub struct Map {\n context: Context,\n storage_slot: Field,\n state_var_constructor: fn(Context, Field) -> V,\n}\n// docs:end:map\n\nimpl Storage for Map {}\n\nimpl Map {\n // docs:start:new\n pub fn new(\n context: Context,\n storage_slot: Field,\n state_var_constructor: fn(Context, Field) -> V\n ) -> Self {\n assert(storage_slot != 0, \"Storage slot 0 not allowed. Storage slots must start from 1.\");\n Map { context, storage_slot, state_var_constructor }\n }\n // docs:end:new\n\n // docs:start:at\n pub fn at(self, key: K) -> V where K: ToField {\n // TODO(#1204): use a generator index for the storage slot\n let derived_storage_slot = derive_storage_slot_in_map(self.storage_slot, key);\n\n let state_var_constructor = self.state_var_constructor;\n state_var_constructor(self.context, derived_storage_slot)\n }\n // docs:end:at\n}\n"},"179":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/state_vars/private_set.nr","source":"use dep::protocol_types::{constants::MAX_NOTE_HASH_READ_REQUESTS_PER_CALL, abis::read_request::ReadRequest};\nuse crate::context::{PrivateContext, PublicContext, UnconstrainedContext};\nuse crate::note::{\n constants::MAX_NOTES_PER_PAGE,\n lifecycle::{create_note, create_note_hash_from_public, destroy_note_unsafe},\n note_getter::{get_notes, view_notes}, note_getter_options::NoteGetterOptions,\n note_interface::{NoteInterface, NullifiableNote}, note_viewer_options::NoteViewerOptions,\n utils::compute_note_hash_for_read_request, note_emission::NoteEmission\n};\nuse crate::state_vars::storage::Storage;\n\n// docs:start:struct\npub struct PrivateSet {\n context: Context,\n storage_slot: Field,\n}\n// docs:end:struct\n\nimpl Storage for PrivateSet {}\n\nimpl PrivateSet {\n // docs:start:new\n pub fn new(context: Context, storage_slot: Field) -> Self {\n assert(storage_slot != 0, \"Storage slot 0 not allowed. Storage slots must start from 1.\");\n PrivateSet { context, storage_slot }\n }\n // docs:end:new\n}\n\nimpl PrivateSet where Note: NoteInterface + NullifiableNote {\n // docs:start:insert_from_public\n pub fn insert_from_public(self, note: &mut Note) {\n create_note_hash_from_public(self.context, self.storage_slot, note);\n }\n // docs:end:insert_from_public\n}\n\nimpl PrivateSet where Note: NoteInterface + NullifiableNote + Eq {\n // docs:start:insert\n pub fn insert(self, note: &mut Note) -> NoteEmission {\n create_note(self.context, self.storage_slot, note)\n }\n // docs:end:insert\n\n pub fn pop_notes(\n self,\n options: NoteGetterOptions\n ) -> BoundedVec {\n let (notes, note_hashes) = get_notes(self.context, self.storage_slot, options);\n // We iterate in a range 0..options.limit instead of 0..notes.len() because options.limit is known at compile\n // time and hence will result in less constraints when set to a lower value than\n // MAX_NOTE_HASH_READ_REQUESTS_PER_CALL.\n for i in 0..options.limit {\n if i < notes.len() {\n let note = notes.get_unchecked(i);\n let note_hash = note_hashes.get_unchecked(i);\n // We immediately destroy the note without doing any of the read request checks `remove` typically\n // performs because we know that the `get_notes` call has already placed those constraints.\n destroy_note_unsafe(self.context, note, note_hash);\n }\n }\n\n notes\n }\n\n /// Note that if you obtained the note via `get_notes` it's much better to use `pop_notes` as `pop_notes` results\n /// in significantly less constrains due to avoiding an extra hash and read request check.\n pub fn remove(self, note: Note) {\n let note_hash = compute_note_hash_for_read_request(note);\n let has_been_read = self.context.note_hash_read_requests.any(|r: ReadRequest| r.value == note_hash);\n assert(has_been_read, \"Can only remove a note that has been read from the set.\");\n\n destroy_note_unsafe(self.context, note, note_hash);\n }\n\n /// Note that if you later on remove the note it's much better to use `pop_notes` as `pop_notes` results\n /// in significantly less constrains due to avoiding 1 read request check.\n pub fn get_notes(\n self,\n options: NoteGetterOptions\n ) -> BoundedVec {\n get_notes(self.context, self.storage_slot, options).0\n }\n}\n\nimpl PrivateSet where Note: NoteInterface + NullifiableNote {\n // docs:start:view_notes\n unconstrained pub fn view_notes(\n self,\n options: NoteViewerOptions\n ) -> BoundedVec {\n view_notes(self.storage_slot, options)\n }\n // docs:end:view_notes\n}\n"},"221":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/abis/validation_requests/key_validation_request.nr","source":"use crate::{traits::{Empty, Serialize, Deserialize}, point::Point};\npub use crate::constants::KEY_VALIDATION_REQUEST_LENGTH;\n\npub struct KeyValidationRequest {\n pk_m: Point,\n sk_app: Field, // not a grumpkin scalar because it's output of poseidon2\n}\n\nimpl Eq for KeyValidationRequest {\n fn eq(self, request: KeyValidationRequest) -> bool {\n (request.pk_m.eq(self.pk_m)) & (request.sk_app.eq(self.sk_app))\n }\n}\n\nimpl Empty for KeyValidationRequest {\n fn empty() -> Self {\n KeyValidationRequest { pk_m: Point::empty(), sk_app: 0 }\n }\n}\n\nimpl Serialize for KeyValidationRequest {\n fn serialize(self) -> [Field; KEY_VALIDATION_REQUEST_LENGTH] {\n [\n self.pk_m.x,\n self.pk_m.y,\n self.pk_m.is_infinite as Field,\n self.sk_app\n ]\n }\n}\n\nimpl Deserialize for KeyValidationRequest {\n fn deserialize(fields: [Field; KEY_VALIDATION_REQUEST_LENGTH]) -> Self {\n Self { pk_m: Point { x: fields[0], y: fields[1], is_infinite: fields[2] as bool }, sk_app: fields[3] }\n }\n}\n"},"24":{"path":"std/embedded_curve_ops.nr","source":"use crate::ops::arith::{Add, Sub, Neg};\nuse crate::cmp::Eq;\n\n/// A point on the embedded elliptic curve\n/// By definition, the base field of the embedded curve is the scalar field of the proof system curve, i.e the Noir Field.\n/// x and y denotes the Weierstrass coordinates of the point, if is_infinite is false.\npub struct EmbeddedCurvePoint {\n x: Field,\n y: Field,\n is_infinite: bool\n}\n\nimpl EmbeddedCurvePoint {\n /// Elliptic curve point doubling operation\n /// returns the doubled point of a point P, i.e P+P\n pub fn double(self) -> EmbeddedCurvePoint {\n embedded_curve_add(self, self)\n }\n\n /// Returns the null element of the curve; 'the point at infinity'\n pub fn point_at_infinity() -> EmbeddedCurvePoint {\n EmbeddedCurvePoint { x: 0, y: 0, is_infinite: true }\n }\n}\n\nimpl Add for EmbeddedCurvePoint {\n /// Adds two points P+Q, using the curve addition formula, and also handles point at infinity\n fn add(self, other: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n embedded_curve_add(self, other)\n }\n}\n\nimpl Sub for EmbeddedCurvePoint {\n /// Points subtraction operation, using addition and negation\n fn sub(self, other: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n self + other.neg()\n }\n}\n\nimpl Neg for EmbeddedCurvePoint {\n /// Negates a point P, i.e returns -P, by negating the y coordinate.\n /// If the point is at infinity, then the result is also at infinity.\n fn neg(self) -> EmbeddedCurvePoint {\n EmbeddedCurvePoint { x: self.x, y: -self.y, is_infinite: self.is_infinite }\n }\n}\n\nimpl Eq for EmbeddedCurvePoint {\n /// Checks whether two points are equal\n fn eq(self: Self, b: EmbeddedCurvePoint) -> bool {\n (self.is_infinite & b.is_infinite)\n | ((self.is_infinite == b.is_infinite) & (self.x == b.x) & (self.y == b.y))\n }\n}\n\n/// Scalar for the embedded curve represented as low and high limbs\n/// By definition, the scalar field of the embedded curve is base field of the proving system curve.\n/// It may not fit into a Field element, so it is represented with two Field elements; its low and high limbs.\npub struct EmbeddedCurveScalar {\n lo: Field,\n hi: Field,\n}\n\nimpl EmbeddedCurveScalar {\n pub fn new(lo: Field, hi: Field) -> Self {\n EmbeddedCurveScalar { lo, hi }\n }\n\n #[field(bn254)]\n pub fn from_field(scalar: Field) -> EmbeddedCurveScalar {\n let (a,b) = crate::field::bn254::decompose(scalar);\n EmbeddedCurveScalar { lo: a, hi: b }\n }\n\n //Bytes to scalar: take the first (after the specified offset) 16 bytes of the input as the lo value, and the next 16 bytes as the hi value\n #[field(bn254)]\n pub(crate) fn from_bytes(bytes: [u8; 64], offset: u32) -> EmbeddedCurveScalar {\n let mut v = 1;\n let mut lo = 0 as Field;\n let mut hi = 0 as Field;\n for i in 0..16 {\n lo = lo + (bytes[offset+31 - i] as Field) * v;\n hi = hi + (bytes[offset+15 - i] as Field) * v;\n v = v * 256;\n }\n let sig_s = crate::embedded_curve_ops::EmbeddedCurveScalar { lo, hi };\n sig_s\n }\n}\n\nimpl Eq for EmbeddedCurveScalar {\n fn eq(self, other: Self) -> bool {\n (other.hi == self.hi) & (other.lo == self.lo)\n }\n}\n\n// Computes a multi scalar multiplication over the embedded curve.\n// For bn254, We have Grumpkin and Baby JubJub.\n// For bls12-381, we have JubJub and Bandersnatch.\n//\n// The embedded curve being used is decided by the \n// underlying proof system.\n// docs:start:multi_scalar_mul\npub fn multi_scalar_mul(\n points: [EmbeddedCurvePoint; N],\n scalars: [EmbeddedCurveScalar; N]\n) -> EmbeddedCurvePoint\n// docs:end:multi_scalar_mul\n{\n let point_array = multi_scalar_mul_array_return(points, scalars);\n EmbeddedCurvePoint { x: point_array[0], y: point_array[1], is_infinite: point_array[2] as bool }\n}\n\n#[foreign(multi_scalar_mul)]\nfn multi_scalar_mul_array_return(points: [EmbeddedCurvePoint; N], scalars: [EmbeddedCurveScalar; N]) -> [Field; 3] {}\n\n#[foreign(multi_scalar_mul)]\npub(crate) fn multi_scalar_mul_slice(points: [EmbeddedCurvePoint], scalars: [EmbeddedCurveScalar]) -> [Field; 3] {}\n\n// docs:start:fixed_base_scalar_mul\npub fn fixed_base_scalar_mul(scalar: EmbeddedCurveScalar) -> EmbeddedCurvePoint\n// docs:end:fixed_base_scalar_mul\n{\n let g1 = EmbeddedCurvePoint { x: 1, y: 17631683881184975370165255887551781615748388533673675138860, is_infinite: false };\n multi_scalar_mul([g1], [scalar])\n}\n\n/// This function only assumes that the points are on the curve\n/// It handles corner cases around the infinity point causing some overhead compared to embedded_curve_add_not_nul and embedded_curve_add_unsafe\n// This is a hack because returning an `EmbeddedCurvePoint` from a foreign function in brillig returns a [BrilligVariable::SingleAddr; 2] rather than BrilligVariable::BrilligArray\n// as is defined in the brillig bytecode format. This is a workaround which allows us to fix this without modifying the serialization format.\n// docs:start:embedded_curve_add\npub fn embedded_curve_add(point1: EmbeddedCurvePoint, point2: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n // docs:end:embedded_curve_add\n let x_coordinates_match = point1.x == point2.x;\n let y_coordinates_match = point1.y == point2.y;\n let double_predicate = (x_coordinates_match & y_coordinates_match);\n let infinity_predicate = (x_coordinates_match & !y_coordinates_match);\n let point1_1 = EmbeddedCurvePoint { x: point1.x + (x_coordinates_match as Field), y: point1.y, is_infinite: x_coordinates_match };\n // point1_1 is guaranteed to have a different abscissa than point2\n let mut result = embedded_curve_add_unsafe(point1_1, point2);\n result.is_infinite = x_coordinates_match;\n\n // dbl if x_match, y_match\n let double = embedded_curve_add_unsafe(point1, point1);\n result = if double_predicate { double } else { result };\n\n // infinity if x_match, !y_match\n if point1.is_infinite {\n result= point2;\n }\n if point2.is_infinite {\n result = point1;\n }\n let mut result_is_infinity = infinity_predicate & (!point1.is_infinite & !point2.is_infinite);\n result.is_infinite = result_is_infinity | (point1.is_infinite & point2.is_infinite);\n result\n}\n\n#[foreign(embedded_curve_add)]\nfn embedded_curve_add_array_return(_point1: EmbeddedCurvePoint, _point2: EmbeddedCurvePoint) -> [Field; 3] {}\n\n/// This function assumes that:\n/// The points are on the curve, and\n/// The points don't share an x-coordinate, and\n/// Neither point is the infinity point.\n/// If it is used with correct input, the function ensures the correct non-zero result is returned.\n/// Except for points on the curve, the other assumptions are checked by the function. It will cause assertion failure if they are not respected.\npub fn embedded_curve_add_not_nul(point1: EmbeddedCurvePoint, point2: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n assert(point1.x != point2.x);\n assert(!point1.is_infinite);\n assert(!point2.is_infinite);\n embedded_curve_add_unsafe(point1, point2)\n}\n\n/// Unsafe ec addition\n/// If the inputs are the same, it will perform a doubling, but only if point1 and point2 are the same variable.\n/// If they have the same value but are different variables, the result will be incorrect because in this case\n/// it assumes (but does not check) that the points' x-coordinates are not equal.\n/// It also assumes neither point is the infinity point.\npub fn embedded_curve_add_unsafe(point1: EmbeddedCurvePoint, point2: EmbeddedCurvePoint) -> EmbeddedCurvePoint {\n let point_array = embedded_curve_add_array_return(point1, point2);\n let x = point_array[0];\n let y = point_array[1];\n\n EmbeddedCurvePoint { x, y, is_infinite: false }\n}\n"},"25":{"path":"std/field/bn254.nr","source":"use crate::runtime::is_unconstrained;\n\n// The low and high decomposition of the field modulus\nglobal PLO: Field = 53438638232309528389504892708671455233;\nglobal PHI: Field = 64323764613183177041862057485226039389;\n\npub(crate) global TWO_POW_128: Field = 0x100000000000000000000000000000000;\n\n// Decomposes a single field into two 16 byte fields.\nfn compute_decomposition(x: Field) -> (Field, Field) {\n let x_bytes: [u8; 32] = x.to_le_bytes();\n\n let mut low: Field = 0;\n let mut high: Field = 0;\n\n let mut offset = 1;\n for i in 0..16 {\n low += (x_bytes[i] as Field) * offset;\n high += (x_bytes[i + 16] as Field) * offset;\n offset *= 256;\n }\n\n (low, high)\n}\n\nunconstrained pub(crate) fn decompose_hint(x: Field) -> (Field, Field) {\n compute_decomposition(x)\n}\n\nfn compute_lt(x: Field, y: Field, num_bytes: u32) -> bool {\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..num_bytes {\n if (!done) {\n let x_byte = x_bytes[num_bytes - 1 - i];\n let y_byte = y_bytes[num_bytes - 1 - i];\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\nfn compute_lte(x: Field, y: Field, num_bytes: u32) -> bool {\n if x == y {\n true\n } else {\n compute_lt(x, y, num_bytes)\n }\n}\n\nunconstrained fn lt_32_hint(x: Field, y: Field) -> bool {\n compute_lt(x, y, 32)\n}\n\nunconstrained fn lte_16_hint(x: Field, y: Field) -> bool {\n compute_lte(x, y, 16)\n}\n\n// Assert that (alo > blo && ahi >= bhi) || (alo <= blo && ahi > bhi)\nfn assert_gt_limbs(a: (Field, Field), b: (Field, Field)) {\n let (alo, ahi) = a;\n let (blo, bhi) = b;\n unsafe {\n let borrow = lte_16_hint(alo, blo);\n\n let rlo = alo - blo - 1 + (borrow as Field) * TWO_POW_128;\n let rhi = ahi - bhi - (borrow as Field);\n\n rlo.assert_max_bit_size(128);\n rhi.assert_max_bit_size(128);\n }\n}\n\n/// Decompose a single field into two 16 byte fields.\npub fn decompose(x: Field) -> (Field, Field) {\n if is_unconstrained() {\n compute_decomposition(x)\n } else {\n unsafe {\n // Take hints of the decomposition\n let (xlo, xhi) = decompose_hint(x);\n\n // Range check the limbs\n xlo.assert_max_bit_size(128);\n xhi.assert_max_bit_size(128);\n\n // Check that the decomposition is correct\n assert_eq(x, xlo + TWO_POW_128 * xhi);\n\n // Assert that the decomposition of P is greater than the decomposition of x\n assert_gt_limbs((PLO, PHI), (xlo, xhi));\n (xlo, xhi)\n }\n }\n}\n\npub fn assert_gt(a: Field, b: Field) {\n if is_unconstrained() {\n assert(compute_lt(b, a, 32));\n } else {\n // Decompose a and b\n let a_limbs = decompose(a);\n let b_limbs = decompose(b);\n\n // Assert that a_limbs is greater than b_limbs\n assert_gt_limbs(a_limbs, b_limbs)\n }\n}\n\npub fn assert_lt(a: Field, b: Field) {\n assert_gt(b, a);\n}\n\npub fn gt(a: Field, b: Field) -> bool {\n if is_unconstrained() {\n compute_lt(b, a, 32)\n } else if a == b {\n false\n } else {\n // Take a hint of the comparison and verify it\n unsafe {\n if lt_32_hint(a, b) {\n assert_gt(b, a);\n false\n } else {\n assert_gt(a, b);\n true\n }\n }\n }\n}\n\npub fn lt(a: Field, b: Field) -> bool {\n gt(b, a)\n}\n\nmod tests {\n // TODO: Allow imports from \"super\"\n use crate::field::bn254::{decompose, compute_lt, assert_gt, gt, TWO_POW_128, compute_lte, PLO, PHI};\n\n #[test]\n fn check_decompose() {\n assert_eq(decompose(TWO_POW_128), (0, 1));\n assert_eq(decompose(TWO_POW_128 + 0x1234567890), (0x1234567890, 1));\n assert_eq(decompose(0x1234567890), (0x1234567890, 0));\n }\n\n #[test]\n unconstrained fn check_decompose_unconstrained() {\n assert_eq(decompose(TWO_POW_128), (0, 1));\n assert_eq(decompose(TWO_POW_128 + 0x1234567890), (0x1234567890, 1));\n assert_eq(decompose(0x1234567890), (0x1234567890, 0));\n }\n\n #[test]\n fn check_compute_lt() {\n assert(compute_lt(0, 1, 16));\n assert(compute_lt(0, 0x100, 16));\n assert(compute_lt(0x100, TWO_POW_128 - 1, 16));\n assert(!compute_lt(0, TWO_POW_128, 16));\n }\n\n #[test]\n fn check_compute_lte() {\n assert(compute_lte(0, 1, 16));\n assert(compute_lte(0, 0x100, 16));\n assert(compute_lte(0x100, TWO_POW_128 - 1, 16));\n assert(!compute_lte(0, TWO_POW_128, 16));\n\n assert(compute_lte(0, 0, 16));\n assert(compute_lte(0x100, 0x100, 16));\n assert(compute_lte(TWO_POW_128 - 1, TWO_POW_128 - 1, 16));\n assert(compute_lte(TWO_POW_128, TWO_POW_128, 16));\n }\n\n #[test]\n fn check_assert_gt() {\n assert_gt(1, 0);\n assert_gt(0x100, 0);\n assert_gt((0 - 1), (0 - 2));\n assert_gt(TWO_POW_128, 0);\n assert_gt(0 - 1, 0);\n }\n\n #[test]\n unconstrained fn check_assert_gt_unconstrained() {\n assert_gt(1, 0);\n assert_gt(0x100, 0);\n assert_gt((0 - 1), (0 - 2));\n assert_gt(TWO_POW_128, 0);\n assert_gt(0 - 1, 0);\n }\n\n #[test]\n fn check_gt() {\n assert(gt(1, 0));\n assert(gt(0x100, 0));\n assert(gt((0 - 1), (0 - 2)));\n assert(gt(TWO_POW_128, 0));\n assert(!gt(0, 0));\n assert(!gt(0, 0x100));\n assert(gt(0 - 1, 0 - 2));\n assert(!gt(0 - 2, 0 - 1));\n }\n\n #[test]\n unconstrained fn check_gt_unconstrained() {\n assert(gt(1, 0));\n assert(gt(0x100, 0));\n assert(gt((0 - 1), (0 - 2)));\n assert(gt(TWO_POW_128, 0));\n assert(!gt(0, 0));\n assert(!gt(0, 0x100));\n assert(gt(0 - 1, 0 - 2));\n assert(!gt(0 - 2, 0 - 1));\n }\n\n #[test]\n fn check_plo_phi() {\n assert_eq(PLO + PHI * TWO_POW_128, 0);\n let p_bytes = crate::field::modulus_le_bytes();\n let mut p_low: Field = 0;\n let mut p_high: Field = 0;\n\n let mut offset = 1;\n for i in 0..16 {\n p_low += (p_bytes[i] as Field) * offset;\n p_high += (p_bytes[i + 16] as Field) * offset;\n offset *= 256;\n }\n assert_eq(p_low, PLO);\n assert_eq(p_high, PHI);\n }\n}\n"},"26":{"path":"std/field/mod.nr","source":"pub mod bn254;\nuse bn254::lt as bn254_lt;\nuse crate::runtime::is_unconstrained;\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, bit_size: u32) {\n // docs:end:assert_max_bit_size\n crate::assert_constant(bit_size);\n assert(bit_size < modulus_num_bits() as u32);\n self.__assert_max_bit_size(bit_size);\n }\n\n #[builtin(apply_range_constraint)]\n fn __assert_max_bit_size(self, bit_size: u32) {}\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)]\n // docs:start:to_le_bits\n pub fn to_le_bits(self: Self) -> [u1; N] {}\n // docs:end:to_le_bits\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)]\n // docs:start:to_be_bits\n pub fn to_be_bits(self: Self) -> [u1; N] {}\n // docs:end:to_be_bits\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 // 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 // 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 // docs:start:to_le_radix\n pub fn to_le_radix(self: Self, radix: u32) -> [u8; N] {\n crate::assert_constant(radix);\n self.__to_le_radix(radix)\n }\n // docs:end:to_le_radix\n\n // docs:start:to_be_radix\n pub fn to_be_radix(self: Self, radix: u32) -> [u8; N] {\n crate::assert_constant(radix);\n self.__to_be_radix(radix)\n }\n // docs:end:to_be_radix\n\n // `_radix` must be less than 256\n #[builtin(to_le_radix)]\n fn __to_le_radix(self, radix: u32) -> [u8; N] {}\n\n #[builtin(to_be_radix)]\n fn __to_be_radix(self, radix: u32) -> [u8; 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 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(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// 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 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\nmod tests {\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 bits: [u8; 8] = field.to_be_bytes();\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bits), 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 bits: [u8; 8] = field.to_le_bytes();\n assert_eq(bits, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bits), 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 let field = 2;\n let bits: [u8; 8] = field.to_be_radix(256);\n assert_eq(bits, [0, 0, 0, 0, 0, 0, 0, 2]);\n assert_eq(Field::from_be_bytes::<8>(bits), 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 let field = 2;\n let bits: [u8; 8] = field.to_le_radix(256);\n assert_eq(bits, [2, 0, 0, 0, 0, 0, 0, 0]);\n assert_eq(Field::from_le_bytes::<8>(bits), field);\n }\n // docs:end:to_le_radix_example\n}\n"},"29":{"path":"std/hash/mod.nr","source":"pub mod poseidon;\npub mod mimc;\npub mod poseidon2;\npub mod keccak;\npub mod sha256;\npub mod sha512;\n\nuse crate::default::Default;\nuse crate::uint128::U128;\nuse crate::collections::vec::Vec;\nuse crate::embedded_curve_ops::{EmbeddedCurvePoint, EmbeddedCurveScalar, multi_scalar_mul, multi_scalar_mul_slice};\nuse crate::meta::derive_via;\n\n// Kept for backwards compatibility\npub use sha256::{digest, sha256, sha256_compression, sha256_var};\n\n#[foreign(blake2s)]\n// docs:start:blake2s\npub fn blake2s(input: [u8; N]) -> [u8; 32]\n// docs:end:blake2s\n{}\n\n#[foreign(blake3)]\n// docs:start:blake3\npub fn blake3(input: [u8; N]) -> [u8; 32]\n// docs:end:blake3\n{}\n\n// docs:start:pedersen_commitment\npub fn pedersen_commitment(input: [Field; N]) -> EmbeddedCurvePoint {\n // docs:end:pedersen_commitment\n pedersen_commitment_with_separator(input, 0)\n}\n\npub fn pedersen_hash_with_separator(input: [Field; N], separator: u32) -> Field {\n pedersen_hash_with_separator_noir(input, separator)\n}\n\npub fn pedersen_commitment_with_separator(input: [Field; N], separator: u32) -> EmbeddedCurvePoint {\n let value = __pedersen_commitment_with_separator(input, separator);\n if (value[0] == 0) & (value[1] == 0) {\n EmbeddedCurvePoint { x: 0, y: 0, is_infinite: true }\n } else {\n EmbeddedCurvePoint { x: value[0], y: value[1], is_infinite: false }\n }\n}\n\n#[no_predicates]\nfn pedersen_commitment_with_separator_noir(input: [Field; N], separator: u32) -> EmbeddedCurvePoint {\n let mut points = [EmbeddedCurveScalar { lo: 0, hi: 0 }; N];\n for i in 0..N {\n // we use the unsafe version because the multi_scalar_mul will constrain the scalars.\n points[i] = from_field_unsafe(input[i]);\n }\n let generators = derive_generators(\"DEFAULT_DOMAIN_SEPARATOR\".as_bytes(), separator);\n multi_scalar_mul(generators, points)\n}\n\n#[no_predicates]\nfn pedersen_hash_with_separator_noir(input: [Field; N], separator: u32) -> Field {\n let mut scalars: Vec = Vec::from_slice([EmbeddedCurveScalar { lo: 0, hi: 0 }; N].as_slice()); //Vec::new();\n\n for i in 0..N {\n scalars.set(i, from_field_unsafe(input[i]));\n }\n scalars.push(EmbeddedCurveScalar { lo: N as Field, hi: 0 as Field });\n let domain_generators :[EmbeddedCurvePoint; N]= derive_generators(\"DEFAULT_DOMAIN_SEPARATOR\".as_bytes(), separator);\n let mut vec_generators = Vec::new();\n for i in 0..N {\n vec_generators.push(domain_generators[i]);\n }\n let length_generator : [EmbeddedCurvePoint; 1] = derive_generators(\"pedersen_hash_length\".as_bytes(), 0);\n vec_generators.push(length_generator[0]);\n multi_scalar_mul_slice(vec_generators.slice, scalars.slice)[0]\n}\n\n// docs:start:pedersen_hash\npub fn pedersen_hash(input: [Field; N]) -> Field\n// docs:end:pedersen_hash\n{\n pedersen_hash_with_separator_noir(input, 0)\n}\n\n#[foreign(pedersen_hash)]\nfn __pedersen_hash_with_separator(input: [Field; N], separator: u32) -> Field {}\n\n#[foreign(pedersen_commitment)]\nfn __pedersen_commitment_with_separator(input: [Field; N], separator: u32) -> [Field; 2] {}\n\n#[field(bn254)]\npub fn derive_generators(domain_separator_bytes: [u8; M], starting_index: u32) -> [EmbeddedCurvePoint; N] {\n crate::assert_constant(domain_separator_bytes);\n // TODO(https://github.com/noir-lang/noir/issues/5672): Add back assert_constant on starting_index\n __derive_generators(domain_separator_bytes, starting_index)\n}\n\n#[builtin(derive_pedersen_generators)]\n#[field(bn254)]\nfn __derive_generators(domain_separator_bytes: [u8; M], starting_index: u32) -> [EmbeddedCurvePoint; N] {}\n\n#[field(bn254)]\n// Same as from_field but:\n// does not assert the limbs are 128 bits\n// does not assert the decomposition does not overflow the EmbeddedCurveScalar\nfn from_field_unsafe(scalar: Field) -> EmbeddedCurveScalar {\n let (xlo, xhi) = unsafe {\n crate::field::bn254::decompose_hint(scalar)\n };\n // Check that the decomposition is correct\n assert_eq(scalar, xlo + crate::field::bn254::TWO_POW_128 * xhi);\n EmbeddedCurveScalar { lo: xlo, hi: xhi }\n}\n\npub fn hash_to_field(inputs: [Field]) -> Field {\n let mut sum = 0;\n\n for input in inputs {\n let input_bytes: [u8; 32] = input.to_le_bytes();\n sum += crate::field::bytes32_to_field(blake2s(input_bytes));\n }\n\n sum\n}\n\n// docs:start:keccak256\npub fn keccak256(input: [u8; N], message_size: u32) -> [u8; 32]\n// docs:end:keccak256\n{\n crate::hash::keccak::keccak256(input, message_size)\n}\n\n#[foreign(poseidon2_permutation)]\npub fn poseidon2_permutation(_input: [Field; N], _state_length: u32) -> [Field; N] {}\n\n// Generic hashing support.\n// Partially ported and impacted by rust.\n\n// Hash trait shall be implemented per type.\n#[derive_via(derive_hash)]\npub trait Hash {\n fn hash(self, state: &mut H) where H: Hasher;\n}\n\n// docs:start:derive_hash\ncomptime fn derive_hash(s: StructDefinition) -> Quoted {\n let name = quote { Hash };\n let signature = quote { fn hash(_self: Self, _state: &mut H) where H: std::hash::Hasher };\n let for_each_field = |name| quote { _self.$name.hash(_state); };\n crate::meta::make_trait_impl(s, name, signature, for_each_field, quote {}, |fields| fields)\n}\n// docs:end:derive_hash\n\n// Hasher trait shall be implemented by algorithms to provide hash-agnostic means.\n// TODO: consider making the types generic here ([u8], [Field], etc.)\npub trait Hasher {\n fn finish(self) -> Field;\n\n fn write(&mut self, input: Field);\n}\n\n// BuildHasher is a factory trait, responsible for production of specific Hasher.\npub trait BuildHasher where H: Hasher {\n fn build_hasher(self) -> H;\n}\n\npub struct BuildHasherDefault;\n\nimpl BuildHasher for BuildHasherDefault\nwhere\n H: Hasher + Default {\n fn build_hasher(_self: Self) -> H {\n H::default()\n }\n}\n\nimpl Default for BuildHasherDefault\nwhere\n H: Hasher + Default {\n fn default() -> Self {\n BuildHasherDefault {}\n }\n}\n\nimpl Hash for Field {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self);\n }\n}\n\nimpl Hash for u1 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u8 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u16 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u32 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for u64 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i8 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i16 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i32 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for i64 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for bool {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self as Field);\n }\n}\n\nimpl Hash for () {\n fn hash(_self: Self, _state: &mut H) where H: Hasher {}\n}\n\nimpl Hash for U128 {\n fn hash(self, state: &mut H) where H: Hasher {\n H::write(state, self.lo as Field);\n H::write(state, self.hi as Field);\n }\n}\n\nimpl Hash for [T; N] where T: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n for elem in self {\n elem.hash(state);\n }\n }\n}\n\nimpl Hash for [T] where T: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.len().hash(state);\n for elem in self {\n elem.hash(state);\n }\n }\n}\n\nimpl Hash for (A, B) where A: Hash, B: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n }\n}\n\nimpl Hash for (A, B, C) where A: Hash, B: Hash, C: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n self.2.hash(state);\n }\n}\n\nimpl Hash for (A, B, C, D) where A: Hash, B: Hash, C: Hash, D: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n self.2.hash(state);\n self.3.hash(state);\n }\n}\n\nimpl Hash for (A, B, C, D, E) where A: Hash, B: Hash, C: Hash, D: Hash, E: Hash {\n fn hash(self, state: &mut H) where H: Hasher {\n self.0.hash(state);\n self.1.hash(state);\n self.2.hash(state);\n self.3.hash(state);\n self.4.hash(state);\n }\n}\n\n// Some test vectors for Pedersen hash and Pedersen Commitment.\n// They have been generated using the same functions so the tests are for now useless\n// but they will be useful when we switch to Noir implementation.\n#[test]\nfn assert_pedersen() {\n assert_eq(\n pedersen_hash_with_separator([1], 1), 0x1b3f4b1a83092a13d8d1a59f7acb62aba15e7002f4440f2275edb99ebbc2305f\n );\n assert_eq(\n pedersen_commitment_with_separator([1], 1), EmbeddedCurvePoint {\n x: 0x054aa86a73cb8a34525e5bbed6e43ba1198e860f5f3950268f71df4591bde402,\n y: 0x209dcfbf2cfb57f9f6046f44d71ac6faf87254afc7407c04eb621a6287cac126,\n is_infinite: false\n }\n );\n\n assert_eq(\n pedersen_hash_with_separator([1, 2], 2), 0x26691c129448e9ace0c66d11f0a16d9014a9e8498ee78f4d69f0083168188255\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2], 2), EmbeddedCurvePoint {\n x: 0x2e2b3b191e49541fe468ec6877721d445dcaffe41728df0a0eafeb15e87b0753,\n y: 0x2ff4482400ad3a6228be17a2af33e2bcdf41be04795f9782bd96efe7e24f8778,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3], 3), 0x0bc694b7a1f8d10d2d8987d07433f26bd616a2d351bc79a3c540d85b6206dbe4\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3], 3), EmbeddedCurvePoint {\n x: 0x1fee4e8cf8d2f527caa2684236b07c4b1bad7342c01b0f75e9a877a71827dc85,\n y: 0x2f9fedb9a090697ab69bf04c8bc15f7385b3e4b68c849c1536e5ae15ff138fd1,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4], 4), 0xdae10fb32a8408521803905981a2b300d6a35e40e798743e9322b223a5eddc\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4], 4), EmbeddedCurvePoint {\n x: 0x07ae3e202811e1fca39c2d81eabe6f79183978e6f12be0d3b8eda095b79bdbc9,\n y: 0x0afc6f892593db6fbba60f2da558517e279e0ae04f95758587760ba193145014,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5], 5), 0xfc375b062c4f4f0150f7100dfb8d9b72a6d28582dd9512390b0497cdad9c22\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5], 5), EmbeddedCurvePoint {\n x: 0x1754b12bd475a6984a1094b5109eeca9838f4f81ac89c5f0a41dbce53189bb29,\n y: 0x2da030e3cfcdc7ddad80eaf2599df6692cae0717d4e9f7bfbee8d073d5d278f7,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6], 6), 0x1696ed13dc2730062a98ac9d8f9de0661bb98829c7582f699d0273b18c86a572\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6], 6), EmbeddedCurvePoint {\n x: 0x190f6c0e97ad83e1e28da22a98aae156da083c5a4100e929b77e750d3106a697,\n y: 0x1f4b60f34ef91221a0b49756fa0705da93311a61af73d37a0c458877706616fb,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7], 7), 0x128c0ff144fc66b6cb60eeac8a38e23da52992fc427b92397a7dffd71c45ede3\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7], 7), EmbeddedCurvePoint {\n x: 0x015441e9d29491b06563fac16fc76abf7a9534c715421d0de85d20dbe2965939,\n y: 0x1d2575b0276f4e9087e6e07c2cb75aa1baafad127af4be5918ef8a2ef2fea8fc,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7, 8], 8), 0x2f960e117482044dfc99d12fece2ef6862fba9242be4846c7c9a3e854325a55c\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7, 8], 8), EmbeddedCurvePoint {\n x: 0x1657737676968887fceb6dd516382ea13b3a2c557f509811cd86d5d1199bc443,\n y: 0x1f39f0cb569040105fa1e2f156521e8b8e08261e635a2b210bdc94e8d6d65f77,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9], 9), 0x0c96db0790602dcb166cc4699e2d306c479a76926b81c2cb2aaa92d249ec7be7\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9], 9), EmbeddedCurvePoint {\n x: 0x0a3ceae42d14914a432aa60ec7fded4af7dad7dd4acdbf2908452675ec67e06d,\n y: 0xfc19761eaaf621ad4aec9a8b2e84a4eceffdba78f60f8b9391b0bd9345a2f2,\n is_infinite: false\n }\n );\n assert_eq(\n pedersen_hash_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 10), 0x2cd37505871bc460a62ea1e63c7fe51149df5d0801302cf1cbc48beb8dff7e94\n );\n assert_eq(\n pedersen_commitment_with_separator([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 10), EmbeddedCurvePoint {\n x: 0x2fb3f8b3d41ddde007c8c3c62550f9a9380ee546fcc639ffbb3fd30c8d8de30c,\n y: 0x300783be23c446b11a4c0fabf6c91af148937cea15fcf5fb054abf7f752ee245,\n is_infinite: false\n }\n );\n}\n"},"298":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/utils/mod.nr","source":"// general util packages/modules are usually bad practice\n// because there is no criteria for what we should not put in here.\n// Reducing the size of this package would be welcome.\n\nmod arrays;\nmod field;\nmod reader;\nmod uint256;\n\n// if predicate == true then return lhs, else return rhs\npub fn conditional_assign(predicate: bool, lhs: Field, rhs: Field) -> Field {\n if predicate { lhs } else { rhs }\n}\n\npub fn arr_copy_slice(src: [T; N], mut dst: [T; M], offset: u32) -> [T; M] {\n let iterator_len = if N > M { M } else { N };\n for i in 0..iterator_len {\n dst[i] = src[i + offset];\n }\n dst\n}\n"},"299":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/storage/map.nr","source":"use crate::{hash::poseidon2_hash, traits::ToField};\n\npub fn derive_storage_slot_in_map(storage_slot: Field, key: K) -> Field where K: ToField {\n poseidon2_hash([storage_slot, key.to_field()])\n}\n\nmod test {\n use crate::{address::AztecAddress, storage::map::derive_storage_slot_in_map};\n\n #[test]\n fn test_derive_storage_slot_in_map_matches_typescript() {\n let map_slot = 0x132258fb6962c4387ba659d9556521102d227549a386d39f0b22d1890d59c2b5;\n let key = AztecAddress::from_field(0x302dbc2f9b50a73283d5fb2f35bc01eae8935615817a0b4219a057b2ba8a5a3f);\n\n let slot = derive_storage_slot_in_map(map_slot, key);\n\n // The following value was generated by `map_slot.test.ts`\n let slot_from_typescript = 0x15b9fe39449affd8b377461263e9d2b610b9ad40580553500b4e41d9cbd887ac;\n\n assert_eq(slot, slot_from_typescript);\n }\n}\n"},"3":{"path":"std/array/mod.nr","source":"use crate::cmp::{Eq, Ord};\nuse crate::convert::From;\nuse crate::runtime::is_unconstrained;\n\nmod check_shuffle;\nmod quicksort;\n\nimpl [T; N] {\n /// Returns the length of this array.\n /// \n /// ```noir\n /// fn len(self) -> Field\n /// ```\n /// \n /// example\n /// \n /// ```noir\n /// fn main() {\n /// let array = [42, 42];\n /// assert(array.len() == 2);\n /// }\n /// ```\n #[builtin(array_len)]\n pub fn len(self) -> u32 {}\n\n /// Returns this array as a slice.\n /// \n /// ```noir\n /// let array = [1, 2];\n /// let slice = array.as_slice();\n /// assert_eq(slice, &[1, 2]);\n /// ```\n #[builtin(as_slice)]\n pub fn as_slice(self) -> [T] {}\n\n /// Applies a function to each element of this array, returning a new array containing the mapped elements.\n /// \n /// Example:\n /// \n /// ```rust\n /// let a = [1, 2, 3];\n /// let b = a.map(|a| a * 2);\n /// assert_eq(b, [2, 4, 6]);\n /// ```\n pub fn map(self, f: fn[Env](T) -> U) -> [U; N] {\n let first_elem = f(self[0]);\n let mut ret = [first_elem; N];\n\n for i in 1..self.len() {\n ret[i] = f(self[i]);\n }\n\n ret\n }\n\n /// Applies a function to each element of the array, returning the final accumulated value. The first\n /// parameter is the initial value.\n /// \n /// This is a left fold, so the given function will be applied to the accumulator and first element of\n /// the array, then the second, and so on. For a given call the expected result would be equivalent to:\n /// \n /// ```rust\n /// let a1 = [1];\n /// let a2 = [1, 2];\n /// let a3 = [1, 2, 3];\n /// \n /// let f = |a, b| a - b;\n /// a1.fold(10, f); //=> f(10, 1)\n /// a2.fold(10, f); //=> f(f(10, 1), 2)\n /// a3.fold(10, f); //=> f(f(f(10, 1), 2), 3)\n /// \n /// assert_eq(a3.fold(10, f), 10 - 1 - 2 - 3);\n /// ```\n pub fn fold(self, mut accumulator: U, f: fn[Env](U, T) -> U) -> U {\n for elem in self {\n accumulator = f(accumulator, elem);\n }\n accumulator\n }\n\n /// Same as fold, but uses the first element as the starting element.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn main() {\n /// let arr = [1, 2, 3, 4];\n /// let reduced = arr.reduce(|a, b| a + b);\n /// assert(reduced == 10);\n /// }\n /// ```\n pub fn reduce(self, f: fn[Env](T, T) -> T) -> T {\n let mut accumulator = self[0];\n for i in 1..self.len() {\n accumulator = f(accumulator, self[i]);\n }\n accumulator\n }\n\n /// Returns true if all the elements in this array satisfy the given predicate.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn main() {\n /// let arr = [2, 2, 2, 2, 2];\n /// let all = arr.all(|a| a == 2);\n /// assert(all);\n /// }\n /// ```\n pub fn all(self, predicate: fn[Env](T) -> bool) -> bool {\n let mut ret = true;\n for elem in self {\n ret &= predicate(elem);\n }\n ret\n }\n\n /// Returns true if any of the elements in this array satisfy the given predicate.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn main() {\n /// let arr = [2, 2, 2, 2, 5];\n /// let any = arr.any(|a| a == 5);\n /// assert(any);\n /// }\n /// ```\n pub fn any(self, predicate: fn[Env](T) -> bool) -> bool {\n let mut ret = false;\n for elem in self {\n ret |= predicate(elem);\n }\n ret\n }\n}\n\nimpl [T; N] where T: Ord + Eq {\n /// Returns a new sorted array. The original array remains untouched. Notice that this function will\n /// only work for arrays of fields or integers, not for any arbitrary type. This is because the sorting\n /// logic it uses internally is optimized specifically for these values. If you need a sort function to\n /// sort any type, you should use the `sort_via` function.\n /// \n /// Example:\n /// \n /// ```rust\n /// fn main() {\n /// let arr = [42, 32];\n /// let sorted = arr.sort();\n /// assert(sorted == [32, 42]);\n /// }\n /// ```\n pub fn sort(self) -> Self {\n self.sort_via(|a: T, b: T| a <= b)\n }\n}\n\nimpl [T; N] where T: Eq {\n /// Returns a new sorted array by sorting it with a custom comparison function. \n /// The original array remains untouched. \n /// The ordering function must return true if the first argument should be sorted to be before the second argument or is equal to the second argument.\n /// \n /// Using this method with an operator like `<` that does not return `true` for equal values will result in an assertion failure for arrays with equal elements.\n /// \n /// Example:\n /// \n /// ```rust\n /// fn main() {\n /// let arr = [42, 32]\n /// let sorted_ascending = arr.sort_via(|a, b| a <= b);\n /// assert(sorted_ascending == [32, 42]); // verifies\n /// \n /// let sorted_descending = arr.sort_via(|a, b| a >= b);\n /// assert(sorted_descending == [32, 42]); // does not verify\n /// }\n /// ```\n pub fn sort_via(self, ordering: fn[Env](T, T) -> bool) -> Self {\n unsafe {\n // Safety: `sorted` array is checked to be:\n // a. a permutation of `input`'s elements\n // b. satisfying the predicate `ordering`\n let sorted = quicksort::quicksort(self, ordering);\n\n if !is_unconstrained() {\n for i in 0..N - 1 {\n assert(\n ordering(sorted[i], sorted[i + 1]), \"Array has not been sorted correctly according to `ordering`.\"\n );\n }\n check_shuffle::check_shuffle(self, sorted);\n }\n sorted\n }\n }\n}\n\nimpl [u8; N] {\n /// Converts a byte array of type `[u8; N]` to a string. Note that this performs no UTF-8 validation -\n /// the given array is interpreted as-is as a string.\n /// \n /// Example:\n /// \n /// ```rust\n /// fn main() {\n /// let hi = [104, 105].as_str_unchecked();\n /// assert_eq(hi, \"hi\");\n /// }\n /// ```\n #[builtin(array_as_str_unchecked)]\n pub fn as_str_unchecked(self) -> str {}\n}\n\nimpl From> for [u8; N] {\n /// Returns an array of the string bytes.\n fn from(s: str) -> Self {\n s.as_bytes()\n }\n}\n"},"301":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/traits.nr","source":"use crate::utils::field::field_from_bytes;\nuse crate::meta::{derive_deserialize, derive_serialize};\n\n// Trait: is_empty\n//\n// The general is_empty trait checks if a data type is is empty,\n// and it defines empty for the basic data types as 0.\n//\n// If a Field is equal to zero, then it is regarded as zero.\n// We will go with this definition for now, however it can be problematic\n// if a value can actually be zero. In a future refactor, we can\n// use the optional type for safety. Doing it now would lead to a worse devex\n// and would make it harder to sync up with the cpp code.\n// Preferred over Default trait to convey intent, as default doesn't necessarily mean empty.\npub trait Empty {\n fn empty() -> Self;\n}\n\nimpl Empty for Field {\n fn empty() -> Self {\n 0\n }\n}\n\nimpl Empty for u1 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for u8 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for u32 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for u64 {\n fn empty() -> Self {\n 0\n }\n}\nimpl Empty for U128 {\n fn empty() -> Self {\n U128::from_integer(0)\n }\n}\n\npub fn is_empty(item: T) -> bool where T: Empty + Eq {\n item.eq(T::empty())\n}\n\npub fn is_empty_array(array: [T; N]) -> bool where T: Empty + Eq {\n array.all(|elem| is_empty(elem))\n}\n\npub trait Hash {\n fn hash(self) -> Field;\n}\n\npub trait ToField {\n fn to_field(self) -> Field;\n}\n\nimpl ToField for Field {\n fn to_field(self) -> Field {\n self\n }\n}\n\nimpl ToField for bool {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u1 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u8 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u32 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for u64 {\n fn to_field(self) -> Field {\n self as Field\n }\n}\nimpl ToField for U128 {\n fn to_field(self) -> Field {\n self.to_integer()\n }\n}\nimpl ToField for str {\n fn to_field(self) -> Field {\n assert(N < 32, \"String doesn't fit in a field, consider using Serialize instead\");\n field_from_bytes(self.as_bytes(), true)\n }\n}\n\npub trait FromField {\n fn from_field(value: Field) -> Self;\n}\n\nimpl FromField for Field {\n fn from_field(value: Field) -> Self {\n value\n }\n}\n\nimpl FromField for bool {\n fn from_field(value: Field) -> Self {\n value as bool\n }\n}\nimpl FromField for u1 {\n fn from_field(value: Field) -> Self {\n value as u1\n }\n}\nimpl FromField for u8 {\n fn from_field(value: Field) -> Self {\n value as u8\n }\n}\nimpl FromField for u32 {\n fn from_field(value: Field) -> Self {\n value as u32\n }\n}\nimpl FromField for u64 {\n fn from_field(value: Field) -> Self {\n value as u64\n }\n}\nimpl FromField for U128 {\n fn from_field(value: Field) -> Self {\n U128::from_integer(value)\n }\n}\n\n// docs:start:serialize\n#[derive_via(derive_serialize)]\npub trait Serialize {\n fn serialize(self) -> [Field; N];\n}\n// docs:end:serialize\n\nimpl Serialize for str {\n fn serialize(self) -> [Field; N] {\n let bytes = self.as_bytes();\n let mut fields = [0; N];\n for i in 0..bytes.len() {\n fields[i] = bytes[i] as Field;\n }\n fields\n }\n}\n\n// docs:start:deserialize\n#[derive_via(derive_deserialize)]\npub trait Deserialize {\n fn deserialize(fields: [Field; N]) -> Self;\n}\n// docs:end:deserialize\n\nimpl Deserialize for str {\n fn deserialize(fields: [Field; N]) -> Self {\n str::from(fields.map(|value| value as u8))\n }\n}\n"},"305":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/contract_instance.nr","source":"use crate::{\n address::{aztec_address::AztecAddress, partial_address::PartialAddress, public_keys_hash::PublicKeysHash},\n contract_class_id::ContractClassId, constants::CONTRACT_INSTANCE_LENGTH,\n traits::{Deserialize, Hash, Serialize}\n};\n\npub struct ContractInstance {\n salt : Field,\n deployer: AztecAddress,\n contract_class_id : ContractClassId,\n initialization_hash : Field,\n public_keys_hash : PublicKeysHash,\n}\n\nimpl Eq for ContractInstance {\n fn eq(self, other: Self) -> bool {\n self.public_keys_hash.eq(other.public_keys_hash)\n & self.initialization_hash.eq(other.initialization_hash)\n & self.contract_class_id.eq(other.contract_class_id)\n & self.salt.eq(other.salt)\n }\n}\n\nimpl Serialize for ContractInstance {\n fn serialize(self) -> [Field; CONTRACT_INSTANCE_LENGTH] {\n [\n self.salt,\n self.deployer.to_field(),\n self.contract_class_id.to_field(),\n self.initialization_hash,\n self.public_keys_hash.to_field()\n ]\n }\n}\n\nimpl Deserialize for ContractInstance {\n fn deserialize(serialized: [Field; CONTRACT_INSTANCE_LENGTH]) -> Self {\n Self {\n salt: serialized[0],\n deployer: AztecAddress::from_field(serialized[1]),\n contract_class_id: ContractClassId::from_field(serialized[2]),\n initialization_hash: serialized[3],\n public_keys_hash: PublicKeysHash::from_field(serialized[4])\n }\n }\n}\n\nimpl Hash for ContractInstance {\n fn hash(self) -> Field {\n self.to_address().to_field()\n }\n}\n\nimpl ContractInstance {\n fn to_address(self) -> AztecAddress {\n AztecAddress::compute(\n self.public_keys_hash,\n PartialAddress::compute(\n self.contract_class_id,\n self.salt,\n self.initialization_hash,\n self.deployer\n )\n )\n }\n}\n"},"306":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/address/aztec_address.nr","source":"use crate::{\n address::{partial_address::PartialAddress, public_keys_hash::PublicKeysHash},\n constants::{AZTEC_ADDRESS_LENGTH, GENERATOR_INDEX__CONTRACT_ADDRESS_V1},\n hash::poseidon2_hash_with_separator, traits::{Empty, FromField, ToField, Serialize, Deserialize},\n utils\n};\n\n// Aztec address\npub struct AztecAddress {\n inner : Field\n}\n\nimpl Eq for AztecAddress {\n fn eq(self, other: Self) -> bool {\n self.to_field() == other.to_field()\n }\n}\n\nimpl Empty for AztecAddress {\n fn empty() -> Self {\n Self { inner: 0 }\n }\n}\n\nimpl ToField for AztecAddress {\n fn to_field(self) -> Field {\n self.inner\n }\n}\n\nimpl FromField for AztecAddress {\n fn from_field(value: Field) -> AztecAddress {\n AztecAddress { inner: value }\n }\n}\n\nimpl Serialize for AztecAddress {\n fn serialize(self: Self) -> [Field; AZTEC_ADDRESS_LENGTH] {\n [self.to_field()]\n }\n}\n\nimpl Deserialize for AztecAddress {\n fn deserialize(fields: [Field; AZTEC_ADDRESS_LENGTH]) -> Self {\n FromField::from_field(fields[0])\n }\n}\n\nimpl AztecAddress {\n pub fn zero() -> Self {\n Self { inner: 0 }\n }\n\n pub fn compute(pub_keys_hash: PublicKeysHash, partial_address: PartialAddress) -> AztecAddress {\n AztecAddress::from_field(\n poseidon2_hash_with_separator(\n [pub_keys_hash.to_field(), partial_address.to_field()],\n GENERATOR_INDEX__CONTRACT_ADDRESS_V1\n )\n )\n }\n\n pub fn is_zero(self) -> bool {\n self.inner == 0\n }\n\n pub fn assert_is_zero(self) {\n assert(self.to_field() == 0);\n }\n\n pub fn conditional_assign(predicate: bool, lhs: Self, rhs: Self) -> Self {\n let result = utils::conditional_assign(predicate, rhs.to_field(), lhs.to_field());\n Self { inner: result }\n }\n}\n\n#[test]\nfn compute_address_from_partial_and_pub_keys_hash() {\n let pub_keys_hash = PublicKeysHash::from_field(1);\n let partial_address = PartialAddress::from_field(2);\n\n let address = AztecAddress::compute(pub_keys_hash, partial_address);\n let expected_computed_address_from_partial_and_pubkey = 0x23ce9be3fa3c846b0f9245cc796902e731d04f086e8a42473bb29e405fc98075;\n assert(address.to_field() == expected_computed_address_from_partial_and_pubkey);\n}\n\n#[test]\nfn from_field_to_field() {\n let address = AztecAddress { inner: 37 };\n assert_eq(FromField::from_field(address.to_field()), address);\n}\n\n#[test]\nfn serde() {\n let address = AztecAddress { inner: 37 };\n assert_eq(Deserialize::deserialize(address.serialize()), address);\n}\n"},"308":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/address/salted_initialization_hash.nr","source":"use crate::{\n address::{aztec_address::AztecAddress}, constants::GENERATOR_INDEX__PARTIAL_ADDRESS,\n hash::poseidon2_hash_with_separator, traits::ToField\n};\n\n// Salted initialization hash. Used in the computation of a partial address.\npub struct SaltedInitializationHash {\n inner: Field\n}\n\nimpl ToField for SaltedInitializationHash {\n fn to_field(self) -> Field {\n self.inner\n }\n}\n\nimpl SaltedInitializationHash {\n pub fn from_field(field: Field) -> Self {\n Self { inner: field }\n }\n\n pub fn compute(salt: Field, initialization_hash: Field, deployer: AztecAddress) -> Self {\n SaltedInitializationHash::from_field(\n poseidon2_hash_with_separator(\n [\n salt,\n initialization_hash,\n deployer.to_field()\n ],\n GENERATOR_INDEX__PARTIAL_ADDRESS\n )\n )\n }\n\n pub fn assert_is_zero(self) {\n assert(self.to_field() == 0);\n }\n}\n"},"309":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/address/partial_address.nr","source":"use crate::{\n address::{salted_initialization_hash::SaltedInitializationHash, aztec_address::AztecAddress},\n constants::GENERATOR_INDEX__PARTIAL_ADDRESS, contract_class_id::ContractClassId,\n hash::poseidon2_hash_with_separator, traits::{ToField, Serialize, Deserialize}\n};\n\nglobal PARTIAL_ADDRESS_LENGTH: u32 = 1;\n\n// Partial address\npub struct PartialAddress {\n inner : Field\n}\n\nimpl ToField for PartialAddress {\n fn to_field(self) -> Field {\n self.inner\n }\n}\n\nimpl Serialize for PartialAddress {\n fn serialize(self: Self) -> [Field; PARTIAL_ADDRESS_LENGTH] {\n [self.to_field()]\n }\n}\n\nimpl Deserialize for PartialAddress {\n fn deserialize(fields: [Field; PARTIAL_ADDRESS_LENGTH]) -> Self {\n PartialAddress { inner: fields[0] }\n }\n}\n\nimpl PartialAddress {\n pub fn from_field(field: Field) -> Self {\n Self { inner: field }\n }\n\n pub fn compute(\n contract_class_id: ContractClassId,\n salt: Field,\n initialization_hash: Field,\n deployer: AztecAddress\n ) -> Self {\n PartialAddress::compute_from_salted_initialization_hash(\n contract_class_id,\n SaltedInitializationHash::compute(salt, initialization_hash, deployer)\n )\n }\n\n pub fn compute_from_salted_initialization_hash(\n contract_class_id: ContractClassId,\n salted_initialization_hash: SaltedInitializationHash\n ) -> Self {\n PartialAddress::from_field(\n poseidon2_hash_with_separator(\n [\n contract_class_id.to_field(),\n salted_initialization_hash.to_field()\n ],\n GENERATOR_INDEX__PARTIAL_ADDRESS\n )\n )\n }\n\n pub fn to_field(self) -> Field {\n self.inner\n }\n\n pub fn is_zero(self) -> bool {\n self.to_field() == 0\n }\n\n pub fn assert_is_zero(self) {\n assert(self.to_field() == 0);\n }\n}\n"},"314":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/hash.nr","source":"use crate::{\n abis::{\n contract_class_function_leaf_preimage::ContractClassFunctionLeafPreimage,\n function_selector::FunctionSelector, log_hash::{LogHash, ScopedLogHash, ScopedEncryptedLogHash},\n note_hash::ScopedNoteHash, nullifier::ScopedNullifier\n},\n address::{AztecAddress, EthAddress},\n constants::{\n FUNCTION_TREE_HEIGHT, GENERATOR_INDEX__SILOED_NOTE_HASH, GENERATOR_INDEX__OUTER_NULLIFIER,\n GENERATOR_INDEX__VK, GENERATOR_INDEX__NOTE_HASH_NONCE, GENERATOR_INDEX__UNIQUE_NOTE_HASH,\n MAX_ENCRYPTED_LOGS_PER_TX, MAX_NOTE_ENCRYPTED_LOGS_PER_TX\n},\n merkle_tree::root::root_from_sibling_path,\n messaging::l2_to_l1_message::{L2ToL1Message, ScopedL2ToL1Message},\n recursion::verification_key::VerificationKey, traits::{is_empty, ToField},\n utils::field::field_from_bytes_32_trunc\n};\nuse super::utils::field::field_from_bytes;\n\npub fn sha256_to_field(bytes_to_hash: [u8; N]) -> Field {\n let sha256_hashed = std::hash::sha256(bytes_to_hash);\n let hash_in_a_field = field_from_bytes_32_trunc(sha256_hashed);\n\n hash_in_a_field\n}\n\npub fn private_functions_root_from_siblings(\n selector: FunctionSelector,\n vk_hash: Field,\n function_leaf_index: Field,\n function_leaf_sibling_path: [Field; FUNCTION_TREE_HEIGHT]\n) -> Field {\n let function_leaf_preimage = ContractClassFunctionLeafPreimage { selector, vk_hash };\n let function_leaf = function_leaf_preimage.hash();\n root_from_sibling_path(function_leaf, function_leaf_index, function_leaf_sibling_path)\n}\n\nfn compute_note_hash_nonce(tx_hash: Field, note_index_in_tx: u32) -> Field {\n // Hashing tx hash with note index in tx is guaranteed to be unique\n poseidon2_hash_with_separator(\n [\n tx_hash,\n note_index_in_tx as Field\n ],\n GENERATOR_INDEX__NOTE_HASH_NONCE\n )\n}\n\npub fn compute_unique_note_hash(nonce: Field, note_hash: Field) -> Field {\n let inputs = [nonce, note_hash];\n poseidon2_hash_with_separator(inputs, GENERATOR_INDEX__UNIQUE_NOTE_HASH)\n}\n\npub fn compute_siloed_note_hash(app: AztecAddress, unique_note_hash: Field) -> Field {\n poseidon2_hash_with_separator(\n [\n app.to_field(),\n unique_note_hash\n ],\n GENERATOR_INDEX__SILOED_NOTE_HASH\n )\n}\n\n/// Siloing in the context of Aztec refers to the process of hashing a note hash with a contract address (this way\n/// the note hash is scoped to a specific contract). This is used to prevent intermingling of notes between contracts.\npub fn silo_note_hash(note_hash: ScopedNoteHash, tx_hash: Field, note_index_in_tx: u32) -> Field {\n if note_hash.contract_address.is_zero() {\n 0\n } else {\n let nonce = compute_note_hash_nonce(tx_hash, note_index_in_tx);\n let unique_note_hash = compute_unique_note_hash(nonce, note_hash.value());\n compute_siloed_note_hash(note_hash.contract_address, unique_note_hash)\n }\n}\n\npub fn compute_siloed_nullifier(app: AztecAddress, nullifier: Field) -> Field {\n poseidon2_hash_with_separator(\n [\n app.to_field(),\n nullifier\n ],\n GENERATOR_INDEX__OUTER_NULLIFIER\n )\n}\n\npub fn silo_nullifier(nullifier: ScopedNullifier) -> Field {\n if nullifier.contract_address.is_zero() {\n nullifier.value() // Return value instead of 0 because the first nullifier's contract address is zero.\n } else {\n compute_siloed_nullifier(nullifier.contract_address, nullifier.value())\n }\n}\n\npub fn silo_encrypted_log_hash(log_hash: ScopedLogHash) -> Field {\n // We assume contract address has already been masked\n if log_hash.contract_address.is_zero() {\n 0\n } else {\n accumulate_sha256([log_hash.contract_address.to_field(), log_hash.log_hash.value])\n }\n}\n\npub fn mask_encrypted_log_hash(scoped_log: ScopedEncryptedLogHash) -> AztecAddress {\n if scoped_log.contract_address.is_zero() {\n AztecAddress::from_field(0)\n } else if (scoped_log.log_hash.randomness == 0) {\n scoped_log.contract_address\n } else {\n AztecAddress::from_field(\n poseidon2_hash_with_separator(\n [scoped_log.contract_address.to_field(), scoped_log.log_hash.randomness],\n 0\n )\n )\n }\n}\n\nfn compute_siloed_unencrypted_log_hash(address: AztecAddress, log_hash: Field) -> Field {\n accumulate_sha256([address.to_field(), log_hash])\n}\n\npub fn silo_unencrypted_log_hash(log_hash: ScopedLogHash) -> Field {\n if log_hash.contract_address.is_zero() {\n 0\n } else {\n compute_siloed_unencrypted_log_hash(log_hash.contract_address, log_hash.value())\n }\n}\n\npub fn merkle_hash(left: Field, right: Field) -> Field {\n poseidon2_hash([left, right])\n}\n\npub fn stdlib_recursion_verification_key_compress_native_vk(_vk: VerificationKey) -> Field {\n // Original cpp code\n // stdlib::recursion::verification_key::compress_native(private_call.vk, GeneratorIndex::VK);\n // The above cpp method is only ever called on verification key, so it has been special cased here\n let _hash_index = GENERATOR_INDEX__VK;\n 0\n}\n\npub fn compute_l2_to_l1_hash(\n contract_address: AztecAddress,\n recipient: EthAddress,\n content: Field,\n rollup_version_id: Field,\n chain_id: Field\n) -> Field {\n let mut bytes: BoundedVec = BoundedVec::new();\n\n let inputs = [contract_address.to_field(), rollup_version_id, recipient.to_field(), chain_id, content];\n for i in 0..inputs.len() {\n // TODO are bytes be in fr.to_buffer() ?\n let item_bytes: [u8; 32] = inputs[i].to_be_bytes();\n for j in 0..32 {\n bytes.push(item_bytes[j]);\n }\n }\n\n sha256_to_field(bytes.storage)\n}\n\npub fn silo_l2_to_l1_message(msg: ScopedL2ToL1Message, rollup_version_id: Field, chain_id: Field) -> Field {\n if msg.contract_address.is_zero() {\n 0\n } else {\n compute_l2_to_l1_hash(\n msg.contract_address,\n msg.message.recipient,\n msg.message.content,\n rollup_version_id,\n chain_id\n )\n }\n}\n\n// Computes sha256 hash of 2 input hashes.\n//\n// NB: This method now takes in two 31 byte fields - it assumes that any input\n// is the result of a sha_to_field hash and => is truncated\n//\n// TODO(Jan and David): This is used for the encrypted_log hashes.\n// Can we check to see if we can just use hash_to_field or pedersen_compress here?\n//\npub fn accumulate_sha256(input: [Field; 2]) -> Field {\n // This is a note about the cpp code, since it takes an array of Fields\n // instead of a U128.\n // 4 Field elements when converted to bytes will usually\n // occupy 4 * 32 = 128 bytes.\n // However, this function is making the assumption that each Field\n // only occupies 128 bits.\n //\n // TODO(David): This does not seem to be getting guaranteed anywhere in the code?\n\n // Concatentate two fields into 32x2 = 64 bytes\n // accumulate_sha256 assumes that the inputs are pre-truncated 31 byte numbers\n let mut hash_input_flattened = [0; 64];\n for offset in 0..input.len() {\n let input_as_bytes: [u8; 32] = input[offset].to_be_bytes();\n for byte_index in 0..32 {\n hash_input_flattened[offset * 32 + byte_index] = input_as_bytes[byte_index];\n }\n }\n\n sha256_to_field(hash_input_flattened)\n}\n\n// Computes the final logs hash for a tx.\n// NB: this assumes MAX_ENCRYPTED_LOGS_PER_TX == MAX_UNENCRYPTED_LOGS_PER_TX\n// to avoid doubling code, since we can't define the byte len to be 32*N directly.\npub fn compute_tx_logs_hash(logs: [LogHash; MAX_ENCRYPTED_LOGS_PER_TX]) -> Field {\n // Convert each field element into a byte array and append the bytes to `hash_input_flattened`\n let mut hash_input_flattened = [0; MAX_ENCRYPTED_LOGS_PER_TX * 32];\n for offset in 0..MAX_ENCRYPTED_LOGS_PER_TX {\n let input_as_bytes: [u8; 32] = logs[offset].value.to_be_bytes();\n for byte_index in 0..32 {\n hash_input_flattened[offset * 32 + byte_index] = input_as_bytes[byte_index];\n }\n }\n // Ideally we would push to a slice then hash, but there is no sha_slice\n // Hardcode to 256 bytes for now\n let mut hash = sha256_to_field(hash_input_flattened);\n // Not having a 0 value hash for empty logs causes issues with empty txs\n // used for padding. Returning early is currently unsupported.\n // We always provide sorted logs here, so 0 being empty means all are empty.\n if is_empty(logs[0]) {\n hash = 0;\n }\n hash\n}\n\npub fn compute_tx_note_logs_hash(logs: [LogHash; MAX_NOTE_ENCRYPTED_LOGS_PER_TX]) -> Field {\n // Convert each field element into a byte array and append the bytes to `hash_input_flattened`\n let mut hash_input_flattened = [0; MAX_NOTE_ENCRYPTED_LOGS_PER_TX * 32];\n for offset in 0..MAX_NOTE_ENCRYPTED_LOGS_PER_TX {\n let input_as_bytes: [u8; 32] = logs[offset].value.to_be_bytes();\n for byte_index in 0..32 {\n hash_input_flattened[offset * 32 + byte_index] = input_as_bytes[byte_index];\n }\n }\n // Ideally we would push to a slice then hash, but there is no sha_slice\n // Hardcode to 256 bytes for now\n let mut hash = sha256_to_field(hash_input_flattened);\n // Not having a 0 value hash for empty logs causes issues with empty txs\n // used for padding. Returning early is currently unsupported.\n // We always provide sorted logs here, so 0 being empty means all are empty.\n if is_empty(logs[0]) {\n hash = 0;\n }\n hash\n}\n\npub fn pedersen_hash(inputs: [Field; N], hash_index: u32) -> Field {\n std::hash::pedersen_hash_with_separator(inputs, hash_index)\n}\n\npub fn poseidon2_hash(inputs: [Field; N]) -> Field {\n std::hash::poseidon2::Poseidon2::hash(inputs, N)\n}\n\n#[no_predicates]\npub fn poseidon2_hash_with_separator(\n inputs: [Field; N],\n separator: T\n) -> Field where T: ToField {\n // We manually hash the inputs here, since we cannot express with the type system a constant size inputs array of N + 1\n let in_len = N + 1;\n let two_pow_64 = 18446744073709551616;\n let iv : Field = (in_len as Field) * two_pow_64;\n let mut sponge = std::hash::poseidon2::Poseidon2::new(iv);\n sponge.absorb(separator.to_field());\n\n for i in 0..inputs.len() {\n sponge.absorb(inputs[i]);\n }\n\n sponge.squeeze()\n}\n\npub fn poseidon2_hash_with_separator_slice(inputs: [Field], separator: T) -> Field where T: ToField {\n let in_len = inputs.len() + 1;\n let two_pow_64 = 18446744073709551616;\n let iv : Field = (in_len as Field) * two_pow_64;\n let mut sponge = std::hash::poseidon2::Poseidon2::new(iv);\n sponge.absorb(separator.to_field());\n\n for i in 0..inputs.len() {\n sponge.absorb(inputs[i]);\n }\n\n sponge.squeeze()\n}\n\n#[no_predicates]\npub fn poseidon2_hash_bytes(inputs: [u8; N]) -> Field {\n // We manually hash the inputs here, since we cannot express with the type system a constant size inputs array of Math.ceil(N/31)\n let mut in_len = N / 31;\n let mut has_padding = false;\n if N % 31 != 0 {\n in_len += 1;\n has_padding = true;\n }\n\n let two_pow_64 = 18446744073709551616;\n let iv : Field = (in_len as Field) * two_pow_64;\n let mut sponge = std::hash::poseidon2::Poseidon2::new(iv);\n\n let mut current_field = [0; 31];\n for i in 0..inputs.len() {\n let index = i % 31;\n current_field[index] = inputs[i];\n if index == 30 {\n sponge.absorb(field_from_bytes(current_field, false));\n current_field = [0; 31];\n }\n }\n if has_padding {\n sponge.absorb(field_from_bytes(current_field, false));\n }\n\n sponge.squeeze()\n}\n\n#[test]\nfn smoke_sha256_to_field() {\n let full_buffer = [\n 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,\n 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,\n 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,\n 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79,\n 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99,\n 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119,\n 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159\n ];\n let result = sha256_to_field(full_buffer);\n\n assert(result == 0x448ebbc9e1a31220a2f3830c18eef61b9bd070e5084b7fa2a359fe729184c7);\n\n // to show correctness of the current ver (truncate one byte) vs old ver (mod full bytes):\n let result_bytes = std::hash::sha256(full_buffer);\n let truncated_field = crate::utils::field::field_from_bytes_32_trunc(result_bytes);\n assert(truncated_field == result);\n let mod_res = result + (result_bytes[31] as Field);\n assert(mod_res == 0x448ebbc9e1a31220a2f3830c18eef61b9bd070e5084b7fa2a359fe729184e0);\n}\n\n#[test]\nfn compute_l2_l1_hash() {\n // All zeroes\n let hash_result = compute_l2_to_l1_hash(AztecAddress::from_field(0), EthAddress::zero(), 0, 0, 0);\n assert(hash_result == 0xb393978842a0fa3d3e1470196f098f473f9678e72463cb65ec4ab5581856c2);\n\n // Non-zero case\n let hash_result = compute_l2_to_l1_hash(AztecAddress::from_field(1), EthAddress::from_field(3), 5, 2, 4);\n assert(hash_result == 0x3f88c1044a05e5340ed20466276500f6d45ca5603913b9091e957161734e16);\n}\n\n#[test]\nfn silo_l2_to_l1_message_matches_typescript() {\n let version = 4;\n let chainId = 5;\n\n let hash = silo_l2_to_l1_message(\n ScopedL2ToL1Message {\n message: L2ToL1Message { recipient: EthAddress::from_field(1), content: 2, counter: 0 },\n contract_address: AztecAddress::from_field(3)\n },\n version,\n chainId\n );\n\n // The following value was generated by `l2_to_l1_message.test.ts`\n let hash_from_typescript = 0x00c6155d69febb9d5039b374dd4f77bf57b7c881709aa524a18acaa0bd57476a;\n\n assert_eq(hash, hash_from_typescript);\n}\n"},"315":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/noir-protocol-circuits/crates/types/src/point.nr","source":"pub use dep::std::embedded_curve_ops::EmbeddedCurvePoint as Point;\nuse crate::{traits::{Deserialize, Empty, Hash, Serialize}, hash::poseidon2_hash};\n\nglobal POINT_LENGTH: u32 = 3;\n\nimpl Serialize for Point {\n fn serialize(self: Self) -> [Field; POINT_LENGTH] {\n [self.x, self.y, self.is_infinite as Field]\n }\n}\n\nimpl Hash for Point {\n fn hash(self) -> Field {\n poseidon2_hash(self.serialize())\n }\n}\n\nimpl Empty for Point {\n /// Note: Does not return a valid point on curve - instead represents an empty/\"unpopulated\" point struct (e.g.\n /// empty/unpopulated value in an array of points).\n fn empty() -> Self {\n Point { x: 0, y: 0, is_infinite: false }\n }\n}\n\nimpl Deserialize for Point {\n fn deserialize(serialized: [Field; POINT_LENGTH]) -> Point {\n Point { x: serialized[0], y: serialized[1], is_infinite: serialized[2] as bool }\n }\n}\n"},"329":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/easy-private-state/src/easy_private_uint.nr","source":"use dep::aztec::{\n context::PrivateContext, protocol_types::{address::AztecAddress},\n note::note_getter_options::NoteGetterOptions, state_vars::PrivateSet,\n encrypted_logs::encrypted_note_emission::encode_and_encrypt_note, keys::getters::get_public_keys\n};\nuse dep::value_note::{filter::filter_notes_min_sum, value_note::ValueNote};\n\npub struct EasyPrivateUint {\n context: Context,\n set: PrivateSet,\n storage_slot: Field,\n}\n\n// Holds a note that can act similarly to an int.\nimpl EasyPrivateUint {\n pub fn new(context: Context, storage_slot: Field) -> Self {\n assert(storage_slot != 0, \"Storage slot 0 not allowed. Storage slots must start from 1.\");\n let set = PrivateSet::new(context, storage_slot);\n EasyPrivateUint { context, set, storage_slot }\n }\n}\n\nimpl EasyPrivateUint<&mut PrivateContext> {\n // Very similar to `value_note::utils::increment`.\n pub fn add(self, addend: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n let owner_keys = get_public_keys(owner);\n let outgoing_viewer_keys = get_public_keys(outgoing_viewer);\n // Creates new note for the owner.\n let mut addend_note = ValueNote::new(addend as Field, owner_keys.npk_m.hash());\n\n // Insert the new note to the owner's set of notes.\n // docs:start:insert\n self.set.insert(&mut addend_note).emit(\n encode_and_encrypt_note(\n self.context,\n outgoing_viewer_keys.ovpk_m,\n owner_keys.ivpk_m,\n owner\n )\n );\n // docs:end:insert\n }\n\n // Very similar to `value_note::utils::decrement`.\n pub fn sub(self, subtrahend: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n let owner_keys = get_public_keys(owner);\n let outgoing_viewer_keys = get_public_keys(outgoing_viewer);\n\n // docs:start:pop_notes\n let options = NoteGetterOptions::with_filter(filter_notes_min_sum, subtrahend as Field);\n let notes = self.set.pop_notes(options);\n // docs:end:pop_notes\n\n let mut minuend: u64 = 0;\n for i in 0..options.limit {\n if i < notes.len() {\n let note = notes.get_unchecked(i);\n\n minuend += note.value as u64;\n }\n }\n\n assert(minuend >= subtrahend);\n\n // Creates change note for the owner.\n let result_value = minuend - subtrahend;\n let mut result_note = ValueNote::new(result_value as Field, owner_keys.npk_m.hash());\n self.set.insert(&mut result_note).emit(\n encode_and_encrypt_note(\n self.context,\n outgoing_viewer_keys.ovpk_m,\n owner_keys.ivpk_m,\n owner\n )\n );\n }\n}\n"},"334":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/value-note/src/value_note.nr","source":"use dep::aztec::{\n protocol_types::{traits::Serialize, constants::GENERATOR_INDEX__NOTE_NULLIFIER, hash::poseidon2_hash_with_separator},\n macros::notes::note,\n note::{note_header::NoteHeader, note_interface::NullifiableNote, utils::compute_note_hash_for_nullify},\n oracle::random::random, keys::getters::get_nsk_app, context::PrivateContext\n};\n\nglobal VALUE_NOTE_LEN: u32 = 3; // 3 plus a header.\n\n// docs:start:value-note-def\n// ValueNote is used as fn parameter in the Claim contract, so it has to implement the Serialize trait.\n// It is important that the order of these annotations is preserved so that derive(Serialize) runs AFTER the note macro, which injects the note header.\n#[note]\n#[derive(Serialize)]\npub struct ValueNote {\n value: Field,\n // The nullifying public key hash is used with the nsk_app to ensure that the note can be privately spent.\n npk_m_hash: Field,\n randomness: Field,\n}\n// docs:end:value-note-def\n\nimpl NullifiableNote for ValueNote {\n // docs:start:nullifier\n\n fn compute_nullifier(self, context: &mut PrivateContext, note_hash_for_nullify: Field) -> Field {\n let secret = context.request_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n\n // docs:end:nullifier\n\n unconstrained fn compute_nullifier_without_context(self) -> Field {\n let note_hash_for_nullify = compute_note_hash_for_nullify(self);\n let secret = get_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n}\n\nimpl ValueNote {\n pub fn new(value: Field, npk_m_hash: Field) -> Self {\n // We use the randomness to preserve the privacy of the note recipient by preventing brute-forcing, so a\n // malicious sender could use non-random values to make the note less private. But they already know the full\n // note pre-image anyway, and so the recipient already trusts them to not disclose this information. We can\n // therefore assume that the sender will cooperate in the random value generation.\n let randomness = unsafe {\n random()\n };\n let header = NoteHeader::empty();\n ValueNote { value, npk_m_hash, randomness, header }\n }\n}\n\nimpl Eq for ValueNote {\n fn eq(self, other: Self) -> bool {\n (self.value == other.value)\n & (self.npk_m_hash == other.npk_m_hash)\n & (self.randomness == other.randomness)\n }\n}\n"},"34":{"path":"std/hash/poseidon2.nr","source":"use crate::hash::Hasher;\nuse crate::default::Default;\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 if message_size == N {\n Poseidon2::hash_internal(input, N, false)\n } else {\n Poseidon2::hash_internal(input, message_size, true)\n }\n }\n\n pub(crate) fn new(iv: Field) -> Poseidon2 {\n let mut result = 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::hash::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(input: [Field; N], in_len: u32, is_variable_length: bool) -> 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"},"35":{"path":"std/hash/sha256.nr","source":"use crate::runtime::is_unconstrained;\n\n// Implementation of SHA-256 mapping a byte array of variable length to\n// 32 bytes.\n\n// Deprecated in favour of `sha256_var`\n// docs:start:sha256\npub fn sha256(input: [u8; N]) -> [u8; 32]\n// docs:end:sha256\n{\n digest(input)\n}\n\n#[foreign(sha256_compression)]\npub fn sha256_compression(_input: [u32; 16], _state: [u32; 8]) -> [u32; 8] {}\n\n// SHA-256 hash function\n#[no_predicates]\npub fn digest(msg: [u8; N]) -> [u8; 32] {\n sha256_var(msg, N as u64)\n}\n\n// Convert 64-byte array to array of 16 u32s\nfn msg_u8_to_u32(msg: [u8; 64]) -> [u32; 16] {\n let mut msg32: [u32; 16] = [0; 16];\n\n for i in 0..16 {\n let mut msg_field: Field = 0;\n for j in 0..4 {\n msg_field = msg_field * 256 + msg[64 - 4*(i + 1) + j] as Field;\n }\n msg32[15 - i] = msg_field as u32;\n }\n\n msg32\n}\n\nunconstrained fn build_msg_block_iter(msg: [u8; N], message_size: u32, msg_start: u32) -> ([u8; 64], u32) {\n let mut msg_block: [u8; BLOCK_SIZE] = [0; BLOCK_SIZE];\n // We insert `BLOCK_SIZE` bytes (or up to the end of the message)\n let block_input = if msg_start + BLOCK_SIZE > message_size {\n if message_size < msg_start {\n // This function is sometimes called with `msg_start` past the end of the message.\n // In this case we return an empty block and zero pointer to signal that the result should be ignored.\n 0\n } else {\n message_size - msg_start\n }\n } else {\n BLOCK_SIZE\n };\n for k in 0..block_input {\n msg_block[k] = msg[msg_start + k];\n }\n (msg_block, block_input)\n}\n\n// Verify the block we are compressing was appropriately constructed\nfn verify_msg_block(\n msg: [u8; N],\n message_size: u32,\n msg_block: [u8; 64],\n msg_start: u32\n) -> u32 {\n let mut msg_byte_ptr: u32 = 0; // Message byte pointer\n let mut msg_end = msg_start + BLOCK_SIZE;\n if msg_end > N {\n msg_end = N;\n }\n\n for k in msg_start..msg_end {\n if k < message_size {\n assert_eq(msg_block[msg_byte_ptr], msg[k]);\n msg_byte_ptr = msg_byte_ptr + 1;\n }\n }\n\n msg_byte_ptr\n}\n\nglobal BLOCK_SIZE = 64;\nglobal ZERO = 0;\n\n// Variable size SHA-256 hash\npub fn sha256_var(msg: [u8; N], message_size: u64) -> [u8; 32] {\n let message_size = message_size as u32;\n let num_blocks = N / BLOCK_SIZE;\n let mut msg_block: [u8; BLOCK_SIZE] = [0; BLOCK_SIZE];\n let mut h: [u32; 8] = [1779033703, 3144134277, 1013904242, 2773480762, 1359893119, 2600822924, 528734635, 1541459225]; // Intermediate hash, starting with the canonical initial value\n let mut msg_byte_ptr = 0; // Pointer into msg_block\n\n for i in 0..num_blocks {\n let msg_start = BLOCK_SIZE * i;\n let (new_msg_block, new_msg_byte_ptr) = unsafe {\n build_msg_block_iter(msg, message_size, msg_start)\n };\n if msg_start < message_size {\n msg_block = new_msg_block;\n }\n\n if !is_unconstrained() {\n // Verify the block we are compressing was appropriately constructed\n let new_msg_byte_ptr = verify_msg_block(msg, message_size, msg_block, msg_start);\n if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n } else if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n\n // If the block is filled, compress it.\n // An un-filled block is handled after this loop.\n if (msg_start < message_size) & (msg_byte_ptr == BLOCK_SIZE) {\n h = sha256_compression(msg_u8_to_u32(msg_block), h);\n }\n }\n\n let modulo = N % BLOCK_SIZE;\n // Handle setup of the final msg block.\n // This case is only hit if the msg is less than the block size,\n // or our message cannot be evenly split into blocks.\n if modulo != 0 {\n let msg_start = BLOCK_SIZE * num_blocks;\n let (new_msg_block, new_msg_byte_ptr) = unsafe {\n build_msg_block_iter(msg, message_size, msg_start)\n };\n\n if msg_start < message_size {\n msg_block = new_msg_block;\n }\n\n if !is_unconstrained() {\n let new_msg_byte_ptr = verify_msg_block(msg, message_size, msg_block, msg_start);\n if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n } else if msg_start < message_size {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n }\n\n if msg_byte_ptr == BLOCK_SIZE {\n msg_byte_ptr = 0;\n }\n\n // This variable is used to get around the compiler under-constrained check giving a warning.\n // We want to check against a constant zero, but if it does not come from the circuit inputs\n // or return values the compiler check will issue a warning.\n let zero = msg_block[0] - msg_block[0];\n\n // Pad the rest such that we have a [u32; 2] block at the end representing the length\n // of the message, and a block of 1 0 ... 0 following the message (i.e. [1 << 7, 0, ..., 0]).\n msg_block[msg_byte_ptr] = 1 << 7;\n let last_block = msg_block;\n msg_byte_ptr = msg_byte_ptr + 1;\n\n unsafe {\n let (new_msg_block, new_msg_byte_ptr) = pad_msg_block(msg_block, msg_byte_ptr);\n msg_block = new_msg_block;\n if crate::runtime::is_unconstrained() {\n msg_byte_ptr = new_msg_byte_ptr;\n }\n }\n\n if !crate::runtime::is_unconstrained() {\n for i in 0..BLOCK_SIZE {\n assert_eq(msg_block[i], last_block[i]);\n }\n\n // If i >= 57, there aren't enough bits in the current message block to accomplish this, so\n // the 1 and 0s fill up the current block, which we then compress accordingly.\n // Not enough bits (64) to store length. Fill up with zeros.\n for _i in 57..BLOCK_SIZE {\n if msg_byte_ptr <= 63 & msg_byte_ptr >= 57 {\n assert_eq(msg_block[msg_byte_ptr], zero);\n msg_byte_ptr += 1;\n }\n }\n }\n\n if msg_byte_ptr >= 57 {\n h = sha256_compression(msg_u8_to_u32(msg_block), h);\n\n msg_byte_ptr = 0;\n }\n\n msg_block = unsafe {\n attach_len_to_msg_block(msg_block, msg_byte_ptr, message_size)\n };\n\n if !crate::runtime::is_unconstrained() {\n for i in 0..56 {\n let predicate = (i < msg_byte_ptr) as u8;\n let expected_byte = predicate * last_block[i];\n assert_eq(msg_block[i], expected_byte);\n }\n\n // We verify the message length was inserted correctly by reversing the byte decomposition.\n let len = 8 * message_size;\n let mut reconstructed_len: Field = 0;\n for i in 56..64 {\n reconstructed_len = 256 * reconstructed_len + msg_block[i] as Field;\n }\n assert_eq(reconstructed_len, len as Field);\n }\n\n hash_final_block(msg_block, h)\n}\n\nunconstrained fn pad_msg_block(\n mut msg_block: [u8; 64],\n mut msg_byte_ptr: u32\n) -> ([u8; BLOCK_SIZE], u32) {\n // If i >= 57, there aren't enough bits in the current message block to accomplish this, so\n // the 1 and 0s fill up the current block, which we then compress accordingly.\n if msg_byte_ptr >= 57 {\n // Not enough bits (64) to store length. Fill up with zeros.\n for i in msg_byte_ptr..BLOCK_SIZE {\n msg_block[i] = 0;\n }\n (msg_block, BLOCK_SIZE)\n } else {\n (msg_block, msg_byte_ptr)\n }\n}\n\nunconstrained fn attach_len_to_msg_block(mut msg_block: [u8; BLOCK_SIZE], msg_byte_ptr: u32, message_size: u32) -> [u8; BLOCK_SIZE] {\n // We assume that `msg_byte_ptr` is less than 57 because if not then it is reset to zero before calling this function.\n // In any case, fill blocks up with zeros until the last 64 (i.e. until msg_byte_ptr = 56).\n\n for i in msg_byte_ptr..56 {\n msg_block[i] = 0;\n }\n\n let len = 8 * message_size;\n let len_bytes: [u8; 8] = (len as Field).to_be_bytes();\n for i in 0..8 {\n msg_block[56 + i] = len_bytes[i];\n }\n msg_block\n}\n\nfn hash_final_block(msg_block: [u8; BLOCK_SIZE], mut state: [u32; 8]) -> [u8; 32] {\n let mut out_h: [u8; 32] = [0; 32]; // Digest as sequence of bytes\n\n // Hash final padded block\n state = sha256_compression(msg_u8_to_u32(msg_block), state);\n\n // Return final hash as byte array\n for j in 0..8 {\n let h_bytes: [u8; 4] = (state[7 - j] as Field).to_le_bytes();\n for k in 0..4 {\n out_h[31 - 4*j - k] = h_bytes[k];\n }\n }\n\n out_h\n}\n\nmod tests {\n use super::sha256_var;\n\n #[test]\n fn smoke_test() {\n let input = [0xbd];\n let result = [\n 0x68, 0x32, 0x57, 0x20, 0xaa, 0xbd, 0x7c, 0x82, 0xf3, 0x0f, 0x55, 0x4b, 0x31, 0x3d, 0x05, 0x70, 0xc9, 0x5a, 0xcc, 0xbb, 0x7d, 0xc4, 0xb5, 0xaa, 0xe1, 0x12, 0x04, 0xc0, 0x8f, 0xfe, 0x73, 0x2b\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_just_over_block() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59, 32, 99, 104, 97, 114, 115, 101, 116\n ];\n let result = [\n 91, 122, 146, 93, 52, 109, 133, 148, 171, 61, 156, 70, 189, 238, 153, 7, 222, 184, 94, 24, 65, 114, 192, 244, 207, 199, 87, 232, 192, 224, 171, 207\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_multiple_over_block() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59, 32, 99, 104, 97, 114, 115, 101, 116, 61, 117, 115, 45, 97, 115, 99, 105, 105, 13, 10, 109, 105, 109, 101, 45, 118, 101, 114, 115, 105, 111, 110, 58, 49, 46, 48, 32, 40, 77, 97, 99, 32, 79, 83, 32, 88, 32, 77, 97, 105, 108, 32, 49, 54, 46, 48, 32, 92, 40, 51, 55, 51, 49, 46, 53, 48, 48, 46, 50, 51, 49, 92, 41, 41, 13, 10, 115, 117, 98, 106, 101, 99, 116, 58, 72, 101, 108, 108, 111, 13, 10, 109, 101, 115, 115, 97, 103, 101, 45, 105, 100, 58, 60, 56, 70, 56, 49, 57, 68, 51, 50, 45, 66, 54, 65, 67, 45, 52, 56, 57, 68, 45, 57, 55, 55, 70, 45, 52, 51, 56, 66, 66, 67, 52, 67, 65, 66, 50, 55, 64, 109, 101, 46, 99, 111, 109, 62, 13, 10, 100, 97, 116, 101, 58, 83, 97, 116, 44, 32, 50, 54, 32, 65, 117, 103, 32, 50, 48, 50, 51, 32, 49, 50, 58, 50, 53, 58, 50, 50, 32, 43, 48, 52, 48, 48, 13, 10, 116, 111, 58, 122, 107, 101, 119, 116, 101, 115, 116, 64, 103, 109, 97, 105, 108, 46, 99, 111, 109, 13, 10, 100, 107, 105, 109, 45, 115, 105, 103, 110, 97, 116, 117, 114, 101, 58, 118, 61, 49, 59, 32, 97, 61, 114, 115, 97, 45, 115, 104, 97, 50, 53, 54, 59, 32, 99, 61, 114, 101, 108, 97, 120, 101, 100, 47, 114, 101, 108, 97, 120, 101, 100, 59, 32, 100, 61, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 59, 32, 115, 61, 49, 97, 49, 104, 97, 105, 59, 32, 116, 61, 49, 54, 57, 51, 48, 51, 56, 51, 51, 55, 59, 32, 98, 104, 61, 55, 120, 81, 77, 68, 117, 111, 86, 86, 85, 52, 109, 48, 87, 48, 87, 82, 86, 83, 114, 86, 88, 77, 101, 71, 83, 73, 65, 83, 115, 110, 117, 99, 75, 57, 100, 74, 115, 114, 99, 43, 118, 85, 61, 59, 32, 104, 61, 102, 114, 111, 109, 58, 67, 111, 110, 116, 101, 110, 116, 45, 84, 121, 112, 101, 58, 77, 105, 109, 101, 45, 86, 101, 114, 115, 105, 111, 110, 58, 83, 117, 98, 106, 101, 99\n ];\n let result = [\n 116, 90, 151, 31, 78, 22, 138, 180, 211, 189, 69, 76, 227, 200, 155, 29, 59, 123, 154, 60, 47, 153, 203, 129, 157, 251, 48, 2, 79, 11, 65, 47\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_just_under_block() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59\n ];\n let result = [\n 143, 140, 76, 173, 222, 123, 102, 68, 70, 149, 207, 43, 39, 61, 34, 79, 216, 252, 213, 165, 74, 16, 110, 74, 29, 64, 138, 167, 30, 1, 9, 119\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_big_not_block_multiple() {\n let input = [\n 102, 114, 111, 109, 58, 114, 117, 110, 110, 105, 101, 114, 46, 108, 101, 97, 103, 117, 101, 115, 46, 48, 106, 64, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 13, 10, 99, 111, 110, 116, 101, 110, 116, 45, 116, 121, 112, 101, 58, 116, 101, 120, 116, 47, 112, 108, 97, 105, 110, 59, 32, 99, 104, 97, 114, 115, 101, 116, 61, 117, 115, 45, 97, 115, 99, 105, 105, 13, 10, 109, 105, 109, 101, 45, 118, 101, 114, 115, 105, 111, 110, 58, 49, 46, 48, 32, 40, 77, 97, 99, 32, 79, 83, 32, 88, 32, 77, 97, 105, 108, 32, 49, 54, 46, 48, 32, 92, 40, 51, 55, 51, 49, 46, 53, 48, 48, 46, 50, 51, 49, 92, 41, 41, 13, 10, 115, 117, 98, 106, 101, 99, 116, 58, 72, 101, 108, 108, 111, 13, 10, 109, 101, 115, 115, 97, 103, 101, 45, 105, 100, 58, 60, 56, 70, 56, 49, 57, 68, 51, 50, 45, 66, 54, 65, 67, 45, 52, 56, 57, 68, 45, 57, 55, 55, 70, 45, 52, 51, 56, 66, 66, 67, 52, 67, 65, 66, 50, 55, 64, 109, 101, 46, 99, 111, 109, 62, 13, 10, 100, 97, 116, 101, 58, 83, 97, 116, 44, 32, 50, 54, 32, 65, 117, 103, 32, 50, 48, 50, 51, 32, 49, 50, 58, 50, 53, 58, 50, 50, 32, 43, 48, 52, 48, 48, 13, 10, 116, 111, 58, 122, 107, 101, 119, 116, 101, 115, 116, 64, 103, 109, 97, 105, 108, 46, 99, 111, 109, 13, 10, 100, 107, 105, 109, 45, 115, 105, 103, 110, 97, 116, 117, 114, 101, 58, 118, 61, 49, 59, 32, 97, 61, 114, 115, 97, 45, 115, 104, 97, 50, 53, 54, 59, 32, 99, 61, 114, 101, 108, 97, 120, 101, 100, 47, 114, 101, 108, 97, 120, 101, 100, 59, 32, 100, 61, 105, 99, 108, 111, 117, 100, 46, 99, 111, 109, 59, 32, 115, 61, 49, 97, 49, 104, 97, 105, 59, 32, 116, 61, 49, 54, 57, 51, 48, 51, 56, 51, 51, 55, 59, 32, 98, 104, 61, 55, 120, 81, 77, 68, 117, 111, 86, 86, 85, 52, 109, 48, 87, 48, 87, 82, 86, 83, 114, 86, 88, 77, 101, 71, 83, 73, 65, 83, 115, 110, 117, 99, 75, 57, 100, 74, 115, 114, 99, 43, 118, 85, 61, 59, 32, 104, 61, 102, 114, 111, 109, 58, 67, 111, 110, 116, 101, 110, 116, 45, 84, 121, 112, 101, 58, 77, 105, 109, 101, 45, 86, 101, 114, 115, 105, 111, 110, 58, 83, 117, 98, 106, 101, 99, 116, 58, 77, 101, 115, 115, 97, 103, 101, 45, 73, 100, 58, 68, 97, 116, 101, 58, 116, 111, 59, 32, 98, 61\n ];\n let result = [\n 112, 144, 73, 182, 208, 98, 9, 238, 54, 229, 61, 145, 222, 17, 72, 62, 148, 222, 186, 55, 192, 82, 220, 35, 66, 47, 193, 200, 22, 38, 26, 186\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn msg_big_with_padding() {\n let input = [\n 48, 130, 1, 37, 2, 1, 0, 48, 11, 6, 9, 96, 134, 72, 1, 101, 3, 4, 2, 1, 48, 130, 1, 17, 48, 37, 2, 1, 1, 4, 32, 176, 223, 31, 133, 108, 84, 158, 102, 70, 11, 165, 175, 196, 12, 201, 130, 25, 131, 46, 125, 156, 194, 28, 23, 55, 133, 157, 164, 135, 136, 220, 78, 48, 37, 2, 1, 2, 4, 32, 190, 82, 180, 235, 222, 33, 79, 50, 152, 136, 142, 35, 116, 224, 6, 242, 156, 141, 128, 248, 10, 61, 98, 86, 248, 45, 207, 210, 90, 232, 175, 38, 48, 37, 2, 1, 3, 4, 32, 0, 194, 104, 108, 237, 246, 97, 230, 116, 198, 69, 110, 26, 87, 17, 89, 110, 199, 108, 250, 36, 21, 39, 87, 110, 102, 250, 213, 174, 131, 171, 174, 48, 37, 2, 1, 11, 4, 32, 136, 155, 87, 144, 111, 15, 152, 127, 85, 25, 154, 81, 20, 58, 51, 75, 193, 116, 234, 0, 60, 30, 29, 30, 183, 141, 72, 247, 255, 203, 100, 124, 48, 37, 2, 1, 12, 4, 32, 41, 234, 106, 78, 31, 11, 114, 137, 237, 17, 92, 71, 134, 47, 62, 78, 189, 233, 201, 214, 53, 4, 47, 189, 201, 133, 6, 121, 34, 131, 64, 142, 48, 37, 2, 1, 13, 4, 32, 91, 222, 210, 193, 62, 222, 104, 82, 36, 41, 138, 253, 70, 15, 148, 208, 156, 45, 105, 171, 241, 195, 185, 43, 217, 162, 146, 201, 222, 89, 238, 38, 48, 37, 2, 1, 14, 4, 32, 76, 123, 216, 13, 51, 227, 72, 245, 59, 193, 238, 166, 103, 49, 23, 164, 171, 188, 194, 197, 156, 187, 249, 28, 198, 95, 69, 15, 182, 56, 54, 38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n ];\n let result = [\n 32, 85, 108, 174, 127, 112, 178, 182, 8, 43, 134, 123, 192, 211, 131, 66, 184, 240, 212, 181, 240, 180, 106, 195, 24, 117, 54, 129, 19, 10, 250, 53\n ];\n let message_size = 297;\n assert_eq(sha256_var(input, message_size), result);\n }\n\n #[test]\n fn msg_big_no_padding() {\n let input = [\n 48, 130, 1, 37, 2, 1, 0, 48, 11, 6, 9, 96, 134, 72, 1, 101, 3, 4, 2, 1, 48, 130, 1, 17, 48, 37, 2, 1, 1, 4, 32, 176, 223, 31, 133, 108, 84, 158, 102, 70, 11, 165, 175, 196, 12, 201, 130, 25, 131, 46, 125, 156, 194, 28, 23, 55, 133, 157, 164, 135, 136, 220, 78, 48, 37, 2, 1, 2, 4, 32, 190, 82, 180, 235, 222, 33, 79, 50, 152, 136, 142, 35, 116, 224, 6, 242, 156, 141, 128, 248, 10, 61, 98, 86, 248, 45, 207, 210, 90, 232, 175, 38, 48, 37, 2, 1, 3, 4, 32, 0, 194, 104, 108, 237, 246, 97, 230, 116, 198, 69, 110, 26, 87, 17, 89, 110, 199, 108, 250, 36, 21, 39, 87, 110, 102, 250, 213, 174, 131, 171, 174, 48, 37, 2, 1, 11, 4, 32, 136, 155, 87, 144, 111, 15, 152, 127, 85, 25, 154, 81, 20, 58, 51, 75, 193, 116, 234, 0, 60, 30, 29, 30, 183, 141, 72, 247, 255, 203, 100, 124, 48, 37, 2, 1, 12, 4, 32, 41, 234, 106, 78, 31, 11, 114, 137, 237, 17, 92, 71, 134, 47, 62, 78, 189, 233, 201, 214, 53, 4, 47, 189, 201, 133, 6, 121, 34, 131, 64, 142, 48, 37, 2, 1, 13, 4, 32, 91, 222, 210, 193, 62, 222, 104, 82, 36, 41, 138, 253, 70, 15, 148, 208, 156, 45, 105, 171, 241, 195, 185, 43, 217, 162, 146, 201, 222, 89, 238, 38, 48, 37, 2, 1, 14, 4, 32, 76, 123, 216, 13, 51, 227, 72, 245, 59, 193, 238, 166, 103, 49, 23, 164, 171, 188, 194, 197, 156, 187, 249, 28, 198, 95, 69, 15, 182, 56, 54, 38\n ];\n let result = [\n 32, 85, 108, 174, 127, 112, 178, 182, 8, 43, 134, 123, 192, 211, 131, 66, 184, 240, 212, 181, 240, 180, 106, 195, 24, 117, 54, 129, 19, 10, 250, 53\n ];\n assert_eq(sha256_var(input, input.len() as u64), result);\n }\n\n #[test]\n fn same_msg_len_variable_padding() {\n let input = [\n 29, 81, 165, 84, 243, 114, 101, 37, 242, 146, 127, 99, 69, 145, 39, 72, 213, 39, 253, 179, 218, 37, 217, 201, 172, 93, 198, 50, 249, 70, 15, 30, 162, 112, 187, 40, 140, 9, 236, 53, 32, 44, 38, 163, 113, 254, 192, 197, 44, 89, 71, 130, 169, 242, 17, 211, 214, 72, 19, 178, 186, 168, 147, 127, 99, 101, 252, 227, 8, 147, 150, 85, 97, 158, 17, 107, 218, 244, 82, 113, 247, 91, 208, 214, 60, 244, 87, 137, 173, 201, 130, 18, 66, 56, 198, 149, 207, 189, 175, 120, 123, 224, 177, 167, 251, 159, 143, 110, 68, 183, 189, 70, 126, 32, 35, 164, 44, 30, 44, 12, 65, 18, 62, 239, 242, 2, 248, 104, 2, 178, 64, 28, 126, 36, 137, 24, 14, 116, 91, 98, 90, 159, 218, 102, 45, 11, 110, 223, 245, 184, 52, 99, 59, 245, 136, 175, 3, 72, 164, 146, 145, 116, 22, 66, 24, 49, 193, 121, 3, 60, 37, 41, 97, 3, 190, 66, 195, 225, 63, 46, 3, 118, 4, 208, 15, 1, 40, 254, 235, 151, 123, 70, 180, 170, 44, 172, 90, 4, 254, 53, 239, 116, 246, 67, 56, 129, 61, 22, 169, 213, 65, 27, 216, 116, 162, 239, 214, 207, 126, 177, 20, 100, 25, 48, 143, 84, 215, 70, 197, 53, 65, 70, 86, 172, 61, 62, 9, 212, 167, 169, 133, 41, 126, 213, 196, 33, 192, 238, 0, 63, 246, 215, 58, 128, 110, 101, 92, 3, 170, 214, 130, 149, 52, 81, 125, 118, 233, 3, 118, 193, 104, 207, 120, 115, 77, 253, 191, 122, 0, 107, 164, 207, 113, 81, 169, 36, 201, 228, 74, 134, 131, 218, 178, 35, 30, 216, 101, 2, 103, 174, 87, 95, 50, 50, 215, 157, 5, 210, 188, 54, 211, 78, 45, 199, 96, 121, 241, 241, 176, 226, 194, 134, 130, 89, 217, 210, 186, 32, 140, 39, 91, 103, 212, 26, 87, 32, 72, 144, 228, 230, 117, 99, 188, 50, 15, 69, 79, 179, 50, 12, 106, 86, 218, 101, 73, 142, 243, 29, 250, 122, 228, 233, 29, 255, 22, 121, 114, 125, 103, 41, 250, 241, 179, 126, 158, 198, 116, 209, 65, 94, 98, 228, 175, 169, 96, 3, 9, 233, 133, 214, 55, 161, 164, 103, 80, 85, 24, 186, 64, 167, 92, 131, 53, 101, 202, 47, 25, 104, 118, 155, 14, 12, 12, 25, 116, 45, 221, 249, 28, 246, 212, 200, 157, 167, 169, 56, 197, 181, 4, 245, 146, 1, 140, 234, 191, 212, 228, 125, 87, 81, 86, 119, 30, 63, 129, 143, 32, 96\n ];\n\n // Prepare inputs of different lengths\n let mut input_511 = [0; 511];\n let mut input_512 = [0; 512]; // Next block\n let mut input_575 = [0; 575];\n let mut input_576 = [0; 576]; // Next block\n for i in 0..input.len() {\n input_511[i] = input[i];\n input_512[i] = input[i];\n input_575[i] = input[i];\n input_576[i] = input[i];\n }\n\n // Compute hashes of all inputs (with same message length)\n let fixed_length_hash = super::sha256(input);\n let var_full_length_hash = sha256_var(input, input.len() as u64);\n let var_length_hash_511 = sha256_var(input_511, input.len() as u64);\n let var_length_hash_512 = sha256_var(input_512, input.len() as u64);\n let var_length_hash_575 = sha256_var(input_575, input.len() as u64);\n let var_length_hash_576 = sha256_var(input_576, input.len() as u64);\n\n // All of the above should have produced the same hash\n assert_eq(var_full_length_hash, fixed_length_hash);\n assert_eq(var_length_hash_511, fixed_length_hash);\n assert_eq(var_length_hash_512, fixed_length_hash);\n assert_eq(var_length_hash_575, fixed_length_hash);\n assert_eq(var_length_hash_576, fixed_length_hash);\n }\n}\n"},"59":{"path":"std/panic.nr","source":"pub fn panic(message: fmtstr) -> U {\n assert(false, message);\n crate::mem::zeroed()\n}\n"},"7":{"path":"std/collections/bounded_vec.nr","source":"use crate::{cmp::Eq, convert::From};\n\n/// A `BoundedVec` is a growable storage similar to a `Vec` except that it\n/// is bounded with a maximum possible length. Unlike `Vec`, `BoundedVec` is not implemented\n/// via slices and thus is not subject to the same restrictions slices are (notably, nested\n/// slices - and thus nested vectors as well - are disallowed).\n/// \n/// Since a BoundedVec is backed by a normal array under the hood, growing the BoundedVec by\n/// pushing an additional element is also more efficient - the length only needs to be increased\n/// by one.\n/// \n/// For these reasons `BoundedVec` should generally be preferred over `Vec` when there\n/// is a reasonable maximum bound that can be placed on the vector.\n/// \n/// Example:\n/// \n/// ```noir\n/// let mut vector: BoundedVec = BoundedVec::new();\n/// for i in 0..5 {\n/// vector.push(i);\n/// }\n/// assert(vector.len() == 5);\n/// assert(vector.max_len() == 10);\n/// ```\npub struct BoundedVec {\n storage: [T; MaxLen],\n len: u32,\n}\n\nimpl BoundedVec {\n /// Creates a new, empty vector of length zero.\n ///\n /// Since this container is backed by an array internally, it still needs an initial value\n /// to give each element. To resolve this, each element is zeroed internally. This value\n /// is guaranteed to be inaccessible unless `get_unchecked` is used.\n ///\n /// Example:\n ///\n /// ```noir\n /// let empty_vector: BoundedVec = BoundedVec::new();\n /// assert(empty_vector.len() == 0);\n /// ```\n ///\n /// Note that whenever calling `new` the maximum length of the vector should always be specified\n /// via a type signature:\n ///\n /// ```noir\n /// fn good() -> BoundedVec {\n /// // Ok! MaxLen is specified with a type annotation\n /// let v1: BoundedVec = BoundedVec::new();\n /// let v2 = BoundedVec::new();\n ///\n /// // Ok! MaxLen is known from the type of `good`'s return value\n /// v2\n /// }\n ///\n /// fn bad() {\n /// // Error: Type annotation needed\n /// // The compiler can't infer `MaxLen` from the following code:\n /// let mut v3 = BoundedVec::new();\n /// v3.push(5);\n /// }\n /// ```\n ///\n /// This defaulting of `MaxLen` (and numeric generics in general) to zero may change in future noir versions\n /// but for now make sure to use type annotations when using bounded vectors. Otherwise, you will receive a \n /// constraint failure at runtime when the vec is pushed to.\n pub fn new() -> Self {\n let zeroed = crate::mem::zeroed();\n BoundedVec { storage: [zeroed; MaxLen], len: 0 }\n }\n\n /// Retrieves an element from the vector at the given index, starting from zero.\n /// \n /// If the given index is equal to or greater than the length of the vector, this\n /// will issue a constraint failure.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn foo(v: BoundedVec) {\n /// let first = v.get(0);\n /// let last = v.get(v.len() - 1);\n /// assert(first != last);\n /// }\n /// ```\n pub fn get(self, index: u32) -> T {\n assert(index < self.len, \"Attempted to read past end of BoundedVec\");\n self.get_unchecked(index)\n }\n\n /// Retrieves an element from the vector at the given index, starting from zero, without\n /// performing a bounds check.\n /// \n /// Since this function does not perform a bounds check on length before accessing the element,\n /// it is unsafe! Use at your own risk!\n /// \n /// Example:\n /// \n /// ```noir\n /// fn sum_of_first_three(v: BoundedVec) -> u32 {\n /// // Always ensure the length is larger than the largest\n /// // index passed to get_unchecked\n /// assert(v.len() > 2);\n /// let first = v.get_unchecked(0);\n /// let second = v.get_unchecked(1);\n /// let third = v.get_unchecked(2);\n /// first + second + third\n /// }\n /// ```\n pub fn get_unchecked(self, index: u32) -> T {\n self.storage[index]\n }\n\n /// Writes an element to the vector at the given index, starting from zero.\n /// \n /// If the given index is equal to or greater than the length of the vector, this will issue a constraint failure.\n /// \n /// Example:\n /// \n /// ```noir\n /// fn foo(v: BoundedVec) {\n /// let first = v.get(0);\n /// assert(first != 42);\n /// v.set(0, 42);\n /// let new_first = v.get(0);\n /// assert(new_first == 42);\n /// }\n /// ```\n pub fn set(&mut self, index: u32, value: T) {\n assert(index < self.len, \"Attempted to write past end of BoundedVec\");\n self.set_unchecked(index, value)\n }\n\n /// Writes an element to the vector at the given index, starting from zero, without performing a bounds check.\n /// \n /// Since this function does not perform a bounds check on length before accessing the element, it is unsafe! Use at your own risk!\n /// \n /// Example:\n /// \n /// ```noir\n /// fn set_unchecked_example() {\n /// let mut vec: BoundedVec = BoundedVec::new();\n /// vec.extend_from_array([1, 2]);\n /// \n /// // Here we're safely writing within the valid range of `vec`\n /// // `vec` now has the value [42, 2]\n /// vec.set_unchecked(0, 42);\n /// \n /// // We can then safely read this value back out of `vec`.\n /// // Notice that we use the checked version of `get` which would prevent reading unsafe values.\n /// assert_eq(vec.get(0), 42);\n /// \n /// // We've now written past the end of `vec`.\n /// // As this index is still within the maximum potential length of `v`,\n /// // it won't cause a constraint failure. \n /// vec.set_unchecked(2, 42);\n /// println(vec);\n /// \n /// // This will write past the end of the maximum potential length of `vec`,\n /// // it will then trigger a constraint failure.\n /// vec.set_unchecked(5, 42);\n /// println(vec);\n /// }\n /// ```\n pub fn set_unchecked(&mut self, index: u32, value: T) {\n self.storage[index] = value;\n }\n\n /// Pushes an element to the end of the vector. This increases the length\n /// of the vector by one.\n /// \n /// Panics if the new length of the vector will be greater than the max length.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// \n /// v.push(1);\n /// v.push(2);\n /// \n /// // Panics with failed assertion \"push out of bounds\"\n /// v.push(3);\n /// ```\n pub fn push(&mut self, elem: T) {\n assert(self.len < MaxLen, \"push out of bounds\");\n\n self.storage[self.len] = elem;\n self.len += 1;\n }\n\n /// Returns the current length of this vector\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// assert(v.len() == 0);\n /// \n /// v.push(100);\n /// assert(v.len() == 1);\n /// \n /// v.push(200);\n /// v.push(300);\n /// v.push(400);\n /// assert(v.len() == 4);\n /// \n /// let _ = v.pop();\n /// let _ = v.pop();\n /// assert(v.len() == 2);\n /// ```\n pub fn len(self) -> u32 {\n self.len\n }\n\n /// Returns the maximum length of this vector. This is always\n /// equal to the `MaxLen` parameter this vector was initialized with.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// \n /// assert(v.max_len() == 5);\n /// v.push(10);\n /// assert(v.max_len() == 5);\n /// ```\n pub fn max_len(_self: BoundedVec) -> u32 {\n MaxLen\n }\n\n /// Returns the internal array within this vector.\n /// \n /// Since arrays in Noir are immutable, mutating the returned storage array will not mutate\n /// the storage held internally by this vector.\n /// \n /// Note that uninitialized elements may be zeroed out!\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// \n /// assert(v.storage() == [0, 0, 0, 0, 0]);\n /// \n /// v.push(57);\n /// assert(v.storage() == [57, 0, 0, 0, 0]);\n /// ```\n pub fn storage(self) -> [T; MaxLen] {\n self.storage\n }\n\n /// Pushes each element from the given array to this vector.\n /// \n /// Panics if pushing each element would cause the length of this vector\n /// to exceed the maximum length.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut vec: BoundedVec = BoundedVec::new();\n /// vec.extend_from_array([2, 4]);\n /// \n /// assert(vec.len == 2);\n /// assert(vec.get(0) == 2);\n /// assert(vec.get(1) == 4);\n /// ```\n pub fn extend_from_array(&mut self, array: [T; Len]) {\n let new_len = self.len + array.len();\n assert(new_len <= MaxLen, \"extend_from_array out of bounds\");\n for i in 0..array.len() {\n self.storage[self.len + i] = array[i];\n }\n self.len = new_len;\n }\n\n /// Pushes each element from the given slice to this vector.\n /// \n /// Panics if pushing each element would cause the length of this vector\n /// to exceed the maximum length.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut vec: BoundedVec = BoundedVec::new();\n /// vec.extend_from_slice(&[2, 4]);\n /// \n /// assert(vec.len == 2);\n /// assert(vec.get(0) == 2);\n /// assert(vec.get(1) == 4);\n /// ```\n pub fn extend_from_slice(&mut self, slice: [T]) {\n let new_len = self.len + slice.len();\n assert(new_len <= MaxLen, \"extend_from_slice out of bounds\");\n for i in 0..slice.len() {\n self.storage[self.len + i] = slice[i];\n }\n self.len = new_len;\n }\n\n /// Pushes each element from the other vector to this vector. The length of\n /// the other vector is left unchanged.\n /// \n /// Panics if pushing each element would cause the length of this vector\n /// to exceed the maximum length.\n /// \n /// ```noir\n /// let mut v1: BoundedVec = BoundedVec::new();\n /// let mut v2: BoundedVec = BoundedVec::new();\n /// \n /// v2.extend_from_array([1, 2, 3]);\n /// v1.extend_from_bounded_vec(v2);\n /// \n /// assert(v1.storage() == [1, 2, 3, 0, 0]);\n /// assert(v2.storage() == [1, 2, 3, 0, 0, 0, 0]);\n /// ```\n pub fn extend_from_bounded_vec(&mut self, vec: BoundedVec) {\n let append_len = vec.len();\n let new_len = self.len + append_len;\n assert(new_len <= MaxLen, \"extend_from_bounded_vec out of bounds\");\n\n let mut exceeded_len = false;\n for i in 0..Len {\n exceeded_len |= i == append_len;\n if !exceeded_len {\n self.storage[self.len + i] = vec.get_unchecked(i);\n }\n }\n self.len = new_len;\n }\n\n /// Creates a new vector, populating it with values derived from an array input. \n /// The maximum length of the vector is determined based on the type signature.\n /// \n /// Example:\n /// \n /// ```noir\n /// let bounded_vec: BoundedVec = BoundedVec::from_array([1, 2, 3])\n /// ```\n pub fn from_array(array: [T; Len]) -> Self {\n assert(Len <= MaxLen, \"from array out of bounds\");\n let mut vec: BoundedVec = BoundedVec::new();\n vec.extend_from_array(array);\n vec\n }\n\n /// Pops the element at the end of the vector. This will decrease the length\n /// of the vector by one.\n /// \n /// Panics if the vector is empty.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// v.push(1);\n /// v.push(2);\n /// \n /// let two = v.pop();\n /// let one = v.pop();\n /// \n /// assert(two == 2);\n /// assert(one == 1);\n ///\n /// // error: cannot pop from an empty vector\n /// let _ = v.pop();\n /// ```\n pub fn pop(&mut self) -> T {\n assert(self.len > 0);\n self.len -= 1;\n\n let elem = self.storage[self.len];\n self.storage[self.len] = crate::mem::zeroed();\n elem\n }\n\n /// Returns true if the given predicate returns true for any element\n /// in this vector.\n /// \n /// Example:\n /// \n /// ```noir\n /// let mut v: BoundedVec = BoundedVec::new();\n /// v.extend_from_array([2, 4, 6]);\n /// \n /// let all_even = !v.any(|elem: u32| elem % 2 != 0);\n /// assert(all_even);\n /// ```\n pub fn any(self, predicate: fn[Env](T) -> bool) -> bool {\n let mut ret = false;\n let mut exceeded_len = false;\n for i in 0..MaxLen {\n exceeded_len |= i == self.len;\n if !exceeded_len {\n ret |= predicate(self.storage[i]);\n }\n }\n ret\n }\n\n /// Creates a new vector of equal size by calling a closure on each element in this vector. \n /// \n /// Example:\n /// \n /// ```noir\n /// let vec: BoundedVec = BoundedVec::from_array([1, 2, 3, 4]);\n /// let result = vec.map(|value| value * 2);\n /// \n /// let expected = BoundedVec::from_array([2, 4, 6, 8]);\n /// assert_eq(result, expected);\n /// ```\n pub fn map(self, f: fn[Env](T) -> U) -> BoundedVec {\n let mut ret = BoundedVec::new();\n ret.len = self.len();\n for i in 0..MaxLen {\n if i < self.len() {\n ret.storage[i] = f(self.get_unchecked(i));\n }\n }\n ret\n }\n}\n\nimpl Eq for BoundedVec where T: Eq {\n fn eq(self, other: BoundedVec) -> bool {\n // TODO: https://github.com/noir-lang/noir/issues/4837\n //\n // We make the assumption that the user has used the proper interface for working with `BoundedVec`s\n // rather than directly manipulating the internal fields as this can result in an inconsistent internal state.\n\n (self.len == other.len) & (self.storage == other.storage)\n }\n}\n\nimpl From<[T; Len]> for BoundedVec {\n fn from(array: [T; Len]) -> BoundedVec {\n BoundedVec::from_array(array)\n }\n}\n\nmod bounded_vec_tests {\n\n mod get {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test(should_fail_with = \"Attempted to read past end of BoundedVec\")]\n fn panics_when_reading_elements_past_end_of_vec() {\n let vec: BoundedVec = BoundedVec::new();\n\n crate::println(vec.get(0));\n }\n }\n\n mod set {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn set_updates_values_properly() {\n let mut vec = BoundedVec::from_array([0, 0, 0, 0, 0]);\n\n vec.set(0, 42);\n assert_eq(vec.storage, [42, 0, 0, 0, 0]);\n\n vec.set(1, 43);\n assert_eq(vec.storage, [42, 43, 0, 0, 0]);\n\n vec.set(2, 44);\n assert_eq(vec.storage, [42, 43, 44, 0, 0]);\n\n vec.set(1, 10);\n assert_eq(vec.storage, [42, 10, 44, 0, 0]);\n\n vec.set(0, 0);\n assert_eq(vec.storage, [0, 10, 44, 0, 0]);\n }\n\n #[test(should_fail_with = \"Attempted to write past end of BoundedVec\")]\n fn panics_when_writing_elements_past_end_of_vec() {\n let mut vec: BoundedVec = BoundedVec::new();\n vec.set(0, 42);\n\n // Need to use println to avoid DIE removing the write operation.\n crate::println(vec.get(0));\n }\n }\n\n mod map {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn applies_function_correctly() {\n // docs:start:bounded-vec-map-example\n let vec: BoundedVec = BoundedVec::from_array([1, 2, 3, 4]);\n let result = vec.map(|value| value * 2);\n // docs:end:bounded-vec-map-example\n let expected = BoundedVec::from_array([2, 4, 6, 8]);\n\n assert_eq(result, expected);\n }\n\n #[test]\n fn applies_function_that_changes_return_type() {\n let vec: BoundedVec = BoundedVec::from_array([1, 2, 3, 4]);\n let result = vec.map(|value| (value * 2) as Field);\n let expected: BoundedVec = BoundedVec::from_array([2, 4, 6, 8]);\n\n assert_eq(result, expected);\n }\n\n #[test]\n fn does_not_apply_function_past_len() {\n let vec: BoundedVec = BoundedVec::from_array([0, 1]);\n let result = vec.map(|value| if value == 0 { 5 } else { value });\n let expected = BoundedVec::from_array([5, 1]);\n\n assert_eq(result, expected);\n assert_eq(result.storage()[2], 0);\n }\n }\n\n mod from_array {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn empty() {\n let empty_array: [Field; 0] = [];\n let bounded_vec = BoundedVec::from_array([]);\n\n assert_eq(bounded_vec.max_len(), 0);\n assert_eq(bounded_vec.len(), 0);\n assert_eq(bounded_vec.storage(), empty_array);\n }\n\n #[test]\n fn equal_len() {\n let array = [1, 2, 3];\n let bounded_vec = BoundedVec::from_array(array);\n\n assert_eq(bounded_vec.max_len(), 3);\n assert_eq(bounded_vec.len(), 3);\n assert_eq(bounded_vec.storage(), array);\n }\n\n #[test]\n fn max_len_greater_then_array_len() {\n let array = [1, 2, 3];\n let bounded_vec: BoundedVec = BoundedVec::from_array(array);\n\n assert_eq(bounded_vec.max_len(), 10);\n assert_eq(bounded_vec.len(), 3);\n assert_eq(bounded_vec.storage()[0], 1);\n assert_eq(bounded_vec.storage()[1], 2);\n assert_eq(bounded_vec.storage()[2], 3);\n }\n\n #[test(should_fail_with=\"from array out of bounds\")]\n fn max_len_lower_then_array_len() {\n let _: BoundedVec = BoundedVec::from_array([0; 3]);\n }\n }\n\n mod trait_from {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn simple() {\n let array = [1, 2];\n let bounded_vec: BoundedVec = BoundedVec::from(array);\n\n assert_eq(bounded_vec.max_len(), 10);\n assert_eq(bounded_vec.len(), 2);\n assert_eq(bounded_vec.storage()[0], 1);\n assert_eq(bounded_vec.storage()[1], 2);\n }\n }\n\n mod trait_eq {\n use crate::collections::bounded_vec::BoundedVec;\n\n #[test]\n fn empty_equality() {\n let mut bounded_vec1: BoundedVec = BoundedVec::new();\n let mut bounded_vec2: BoundedVec = BoundedVec::new();\n\n assert_eq(bounded_vec1, bounded_vec2);\n }\n\n #[test]\n fn inequality() {\n let mut bounded_vec1: BoundedVec = BoundedVec::new();\n let mut bounded_vec2: BoundedVec = BoundedVec::new();\n bounded_vec1.push(1);\n bounded_vec2.push(2);\n\n assert(bounded_vec1 != bounded_vec2);\n }\n }\n}\n"},"70":{"path":"/Users/kim/dev/aztec-private-counter/contracts/ProfileContract/src/main.nr","source":"// docs:start:easy_private_token_contract\nuse dep::aztec::macros::aztec;\n\n#[aztec]\ncontract Profile {\n // use dep::aztec::prelude::{AztecAddress, Map};\n use dep::aztec::{\n note::utils::compute_note_hash_for_nullify, keys::getters::get_nsk_app, oracle::random::random,\n encrypted_logs::encrypted_note_emission::encode_and_encrypt_note,\n note::constants::MAX_NOTES_PER_PAGE,\n keys::getters::get_public_keys, prelude::{AztecAddress, PrivateSet, SharedImmutable, Map, NullifiableNote, NoteHeader, PrivateContext, NoteViewerOptions},\n protocol_types::{constants::GENERATOR_INDEX__NOTE_NULLIFIER, hash::poseidon2_hash_with_separator, traits::{Empty, Eq}},\n macros::notes::partial_note\n };\n use dep::value_note::balance_utils;\n use dep::easy_private_state::EasyPrivateUint;\n use dep::aztec::macros::{storage::storage, functions::{initializer, private}};\n use dep::value_note::value_note::ValueNote;\n \n #[partial_note(quote { token_id})]\n struct ProfileNFT {\n token_id: Field,\n is_adult: bool,\n npk_m_hash: Field,\n }\n\n impl ProfileNFT {\n pub fn new(token_id: Field, is_adult: bool, npk_m_hash: Field) -> Self {\n ProfileNFT { token_id, is_adult, npk_m_hash, header: NoteHeader::empty() }\n }\n }\n\n impl Eq for ProfileNFT {\n fn eq(self, other: Self) -> bool {\n (self.token_id == other.token_id)\n & (self.npk_m_hash == other.npk_m_hash)\n }\n }\n\n impl NullifiableNote for ProfileNFT {\n fn compute_nullifier(self, context: &mut PrivateContext, note_hash_for_nullify: Field) -> Field {\n let secret = context.request_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n\n unconstrained fn compute_nullifier_without_context(self) -> Field {\n let note_hash_for_nullify = compute_note_hash_for_nullify(self);\n let secret = get_nsk_app(self.npk_m_hash);\n poseidon2_hash_with_separator(\n [\n note_hash_for_nullify,\n secret\n ],\n GENERATOR_INDEX__NOTE_NULLIFIER as Field\n )\n }\n}\n\n #[storage]\n struct Storage {\n balances: Map, Context>,\n // is_adult: Map, Context>,\n is_adult: PrivateSet,\n profile_nfts: Map, Context>,\n }\n\n /**\n * initialize the contract's initial state variables.\n */\n #[private]\n #[initializer]\n fn constructor(initial_supply: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n let balances = storage.balances;\n\n balances.at(owner).add(initial_supply, owner, outgoing_viewer);\n }\n\n // Mints `amount` of tokens to `owner`.\n #[private]\n fn mint(amount: u64, owner: AztecAddress, outgoing_viewer: AztecAddress) {\n // TODO: private fn create a ZKP automatically? How to check this?\n let balances = storage.balances;\n // let is_adult = storage.is_adult;\n\n balances.at(owner).add(amount, owner, outgoing_viewer);\n // is_adult.at(owner).add(amount, owner, outgoing_viewer);\n }\n\n #[private]\n fn update_is_adult(amount: u64, owner: AztecAddress, recipient: AztecAddress) { // should I use recipient's Ivpk for encryption?\n let is_adult = storage.is_adult;\n let note_creator = context.msg_sender();\n let note_creator_keys = get_public_keys(note_creator);\n \n // Note creation\n // TODO: how to put recipient address for decryption?\n let mut note = ValueNote::new(amount as Field, note_creator_keys.npk_m.hash());\n\n // Note event emission. Guess this will be used for proving?\n is_adult.insert(&mut note).emit(encode_and_encrypt_note(\n &mut context,\n note_creator_keys.ovpk_m,\n note_creator_keys.ivpk_m, // Ivpk is used to encrypt a note for a recipient and the corresponding secret key (ivsk) is used by the recipient during decryption.\n note_creator,\n ));\n }\n\n #[private]\n fn mintNFT(to: AztecAddress, token_id: Field, is_adult: bool) {\n let profile_nfts = storage.profile_nfts;\n let to_keys = get_public_keys(to);\n let mut nft_note = ProfileNFT::new(token_id, is_adult, to_keys.npk_m.hash());\n // TODO: sending event to the NFT owner after update storage. Is this meaningful? Can it be a proof?\n profile_nfts.at(to).insert(&mut nft_note).emit(encode_and_encrypt_note( \n &mut context, \n to_keys.ovpk_m,\n to_keys.ivpk_m,\n to\n ));\n }\n\n unconstrained fn get_profile_nfts(owner: AztecAddress, page_index: u32) -> [(Field, bool); 10] {\n let offset = page_index * MAX_NOTES_PER_PAGE;\n let mut options = NoteViewerOptions::new();\n let profile_nfts = storage.profile_nfts;\n let notes = profile_nfts.at(owner).view_notes(options.set_offset(offset));\n let mut owned_nft_ids = [(0, false); MAX_NOTES_PER_PAGE];\n // let mut owned_nft_ids = [false; MAX_NOTES_PER_PAGE];\n\n for i in 0..options.limit {\n if i < notes.len() {\n // owned_nft_ids[i] = [notes.get_unchecked(i).token_id, notes.get_unchecked(i).is_adult];\n owned_nft_ids[i] = (notes.get_unchecked(i).token_id, notes.get_unchecked(i).is_adult);\n }\n }\n\n (owned_nft_ids)\n }\n}"},"76":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/lifecycle.nr","source":"use crate::context::{PrivateContext, PublicContext};\nuse crate::note::{\n note_header::NoteHeader, note_interface::{NoteInterface, NullifiableNote},\n utils::{compute_note_hash_for_read_request, compute_note_hash_for_nullify_internal},\n note_emission::NoteEmission\n};\nuse crate::oracle::notes::{notify_created_note, notify_nullified_note};\n\npub fn create_note(\n context: &mut PrivateContext,\n storage_slot: Field,\n note: &mut Note\n) -> NoteEmission where Note: NoteInterface + NullifiableNote {\n let contract_address = (*context).this_address();\n let note_hash_counter = context.side_effect_counter;\n\n let header = NoteHeader { contract_address, storage_slot, nonce: 0, note_hash_counter };\n note.set_header(header);\n let note_hash = note.compute_note_hash();\n\n let serialized_note = Note::serialize_content(*note);\n notify_created_note(\n storage_slot,\n Note::get_note_type_id(),\n serialized_note,\n note_hash,\n note_hash_counter\n );\n\n context.push_note_hash(note_hash);\n\n NoteEmission::new(*note)\n}\n\npub fn create_note_hash_from_public(\n context: &mut PublicContext,\n storage_slot: Field,\n note: &mut Note\n) where Note: NoteInterface + NullifiableNote {\n let contract_address = (*context).this_address();\n // Public note hashes are transient, but have no side effect counters, so we just need note_hash_counter != 0\n let header = NoteHeader { contract_address, storage_slot, nonce: 0, note_hash_counter: 1 };\n note.set_header(header);\n let note_hash = note.compute_note_hash();\n\n context.push_note_hash(note_hash);\n}\n\n// Note: This function is currently totally unused.\npub fn destroy_note(\n context: &mut PrivateContext,\n note: Note\n) where Note: NoteInterface + NullifiableNote {\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n\n destroy_note_unsafe(context, note, note_hash_for_read_request)\n}\n\npub fn destroy_note_unsafe(\n context: &mut PrivateContext,\n note: Note,\n note_hash_for_read_request: Field\n) where Note: NoteInterface + NullifiableNote {\n let note_hash_for_nullify = compute_note_hash_for_nullify_internal(note, note_hash_for_read_request);\n let nullifier = note.compute_nullifier(context, note_hash_for_nullify);\n\n let note_hash_counter = note.get_header().note_hash_counter;\n let notification_note_hash = if (note_hash_counter == 0) {\n // Counter is zero, so we're nullifying a settled note and we don't populate the note_hash with real value.\n 0\n } else {\n // A non-zero note hash counter implies that we're nullifying a pending note (i.e. one that has not yet been\n // persisted in the trees and is instead in the pending new note hashes array). In such a case we populate its\n // hash with real value to inform the kernel which note we're nullifyng so that it can either squash both\n // the note and the nullifier if it's an inner note hash, or check that the it matches a pending note if it's\n // a siloed note hash.\n note_hash_for_nullify\n };\n\n let nullifier_counter = context.side_effect_counter;\n notify_nullified_note(nullifier, notification_note_hash, nullifier_counter);\n\n context.push_nullifier_for_note_hash(nullifier, notification_note_hash)\n}\n"},"77":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/utils.nr","source":"use crate::{\n context::PrivateContext,\n note::{note_header::NoteHeader, note_interface::{NullifiableNote, NoteInterface}}\n};\n\nuse dep::protocol_types::{\n hash::{\n compute_unique_note_hash, compute_siloed_note_hash as compute_siloed_note_hash,\n compute_siloed_nullifier as compute_siloed_nullifier_from_preimage\n},\n utils::arr_copy_slice\n};\n\npub fn compute_siloed_nullifier(\n note_with_header: Note,\n context: &mut PrivateContext\n) -> Field where Note: NoteInterface + NullifiableNote {\n let header = note_with_header.get_header();\n let note_hash_for_nullify = compute_note_hash_for_nullify(note_with_header);\n let inner_nullifier = note_with_header.compute_nullifier(context, note_hash_for_nullify);\n\n compute_siloed_nullifier_from_preimage(header.contract_address, inner_nullifier)\n}\n\n// TODO(#7775): make this not impossible to understand\npub fn compute_note_hash_for_read_request(note: Note) -> Field where Note: NoteInterface + NullifiableNote {\n let note_hash = note.compute_note_hash();\n let nonce = note.get_header().nonce;\n let counter = note.get_header().note_hash_counter;\n\n if counter != 0 {\n note_hash\n } else {\n compute_unique_note_hash(nonce, note_hash)\n }\n}\n\n// TODO(#7775): make this not impossible to understand\npub fn compute_note_hash_for_nullify_internal(\n note: Note,\n note_hash_for_read_request: Field\n) -> Field where Note: NoteInterface + NullifiableNote {\n let header = note.get_header();\n\n if header.note_hash_counter != 0 {\n if header.nonce == 0 {\n // Case 1: Transient note\n note_hash_for_read_request\n } else {\n // Case 2: Non-revertible note, nullified by a revertible nullifier\n let unique_note_hash = compute_unique_note_hash(header.nonce, note_hash_for_read_request);\n compute_siloed_note_hash(header.contract_address, unique_note_hash)\n }\n } else {\n // Case 3: Note from a previous transaction\n // note_hash_for_read_request is already the unique_note_hash in this case\n compute_siloed_note_hash(header.contract_address, note_hash_for_read_request)\n }\n}\n\n// TODO(#7775): nuke this commented out code - kept it around as it contains comments which might be helpful when tackling #7775\n// pub fn compute_note_hash_for_nullify(note: Note) -> Field where Note: NoteInterface {\n// let header = note.get_header();\n// // There are 3 cases for reading a note intended for consumption:\n// // 1. The note was inserted in this transaction, is revertible, or is not nullified by a revertible nullifier in\n// // the same transaction: (note_hash_counter != 0) & (nonce == 0)\n// // 2. The note was inserted in this transaction, is non-revertible, and is nullified by a revertible nullifier in\n// // the same transaction: (note_hash_counter != 0) & (nonce != 0)\n// // 3. The note was inserted in a previous transaction: (note_hash_counter == 0) & (nonce != 0)\n\n// let note_hash = note.compute_note_hiding_point().x;\n\n// if header.nonce == 0 {\n// // Case 1.\n// // If a note is transient, we just read the note_hash (kernel will hash it with nonce and silo by contract address).\n// note_hash\n// } else {\n// // Case 2: If a note is non-revertible, and is nullified by a revertible nullifier, we cannot squash them in the\n// // private reset circuit. Because if the tx reverts, we will have to keep the note hash and throw away the\n// // nullifier.\n// // And if the tx does not revert, both will be emitted. In which case, the nullifier must be created in the app\n// // from the siloed note hash.\n// // The kernel circuit will check that a nullifier with non-zero note_nonce is linked to a note hash, whose\n// // siloed note hash matches the note hash specified in the nullifier.\n\n// // Case 3: If a note is not from the current transaction, that means we are reading a settled note (from\n// // tree) created in a previous TX. So we need the siloed_note_hash which has already been hashed with\n// // nonce and then contract address. This hash will match the existing leaf in the note hash\n// // tree, so the kernel can just perform a membership check directly on this hash/leaf.\n// let unique_note_hash = compute_unique_note_hash(header.nonce, note_hash);\n// compute_siloed_note_hash(header.contract_address, unique_note_hash)\n// // IMPORTANT NOTE ON REDUNDANT SILOING BY CONTRACT ADDRESS: The note hash computed above is\n// // \"siloed\" by contract address. When a note hash is computed solely for the purpose of\n// // nullification, it is not strictly necessary to silo the note hash before computing\n// // its nullifier. In other words, it is NOT NECESSARY for protocol security that a nullifier\n// // be computed from a siloed note hash. After all, persistable note hashes and nullifiers are\n// // siloed by the kernel circuit. That being said, the siloed note hash computed above CAN be\n// // used for nullifier computation, and this achieves the (arguably unnecessary) property that\n// // nullifiers are computed from a note hash's fully-computed note hash tree leaf.\n// }\n// }\n\npub fn compute_note_hash_for_nullify(note: Note) -> Field where Note: NoteInterface + NullifiableNote {\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n compute_note_hash_for_nullify_internal(note, note_hash_for_read_request)\n}\n\nunconstrained pub fn compute_note_hash_and_optionally_a_nullifier(\n deserialize_content: fn([Field; N]) -> T,\n note_header: NoteHeader,\n compute_nullifier: bool,\n serialized_note: [Field; S]\n) -> [Field; 4] where T: NoteInterface + NullifiableNote {\n let mut note = deserialize_content(arr_copy_slice(serialized_note, [0; N], 0));\n note.set_header(note_header);\n\n let note_hash = note.compute_note_hash();\n let unique_note_hash = compute_unique_note_hash(note_header.nonce, note_hash);\n let siloed_note_hash = compute_siloed_note_hash(note_header.contract_address, unique_note_hash);\n\n let inner_nullifier = if compute_nullifier {\n note.compute_nullifier_without_context()\n } else {\n 0\n };\n // docs:start:compute_note_hash_and_optionally_a_nullifier_returns\n [note_hash, unique_note_hash, siloed_note_hash, inner_nullifier]\n // docs:end:compute_note_hash_and_optionally_a_nullifier_returns\n}\n"},"79":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/note_getter/mod.nr","source":"use dep::protocol_types::{constants::{MAX_NOTE_HASH_READ_REQUESTS_PER_CALL, GET_NOTES_ORACLE_RETURN_LENGTH}};\nuse crate::context::PrivateContext;\nuse crate::note::{\n constants::{GET_NOTE_ORACLE_RETURN_LENGTH, VIEW_NOTE_ORACLE_RETURN_LENGTH},\n note_getter_options::{NoteGetterOptions, Select, Sort, SortOrder, NoteStatus, PropertySelector},\n note_interface::{NoteInterface, NullifiableNote}, note_viewer_options::NoteViewerOptions,\n utils::compute_note_hash_for_read_request\n};\nuse crate::oracle;\nuse crate::utils::comparison::compare;\n\npub use crate::note::constants::MAX_NOTES_PER_PAGE;\n\nmod test;\n\nfn extract_property_value_from_selector(\n serialized_note: [Field; N],\n selector: PropertySelector\n) -> Field {\n // Selectors use PropertySelectors in order to locate note properties inside the serialized note.\n // This allows easier packing and custom (de)serialization schemas. A note property is located\n // inside the serialized note using the index inside the array, a byte offset and a length.\n let value: [u8; 32] = serialized_note[selector.index].to_be_bytes();\n let offset = selector.offset;\n let length = selector.length;\n let mut value_field = 0 as Field;\n let mut acc: Field = 1;\n for i in 0..32 {\n if i < length {\n value_field += value[31 + offset - i] as Field * acc;\n acc = acc * 256;\n }\n }\n value_field\n}\n\nfn check_note_header(\n context: PrivateContext,\n storage_slot: Field,\n note: Note\n) where Note: NoteInterface {\n let header = note.get_header();\n let contract_address = context.this_address();\n assert(header.contract_address.eq(contract_address), \"Mismatch note header contract address.\");\n assert(header.storage_slot == storage_slot, \"Mismatch note header storage slot.\");\n}\n\nfn check_note_fields(\n serialized_note: [Field; N],\n selects: BoundedVec, N>\n) {\n for i in 0..selects.len {\n let select = selects.get_unchecked(i).unwrap_unchecked();\n let value_field = extract_property_value_from_selector(serialized_note, select.property_selector);\n\n assert(\n compare(value_field, select.comparator, select.value.to_field()), \"Mismatch return note field.\"\n );\n }\n}\n\nfn check_notes_order(\n fields_0: [Field; N],\n fields_1: [Field; N],\n sorts: BoundedVec, N>\n) {\n for i in 0..sorts.len {\n let sort = sorts.get_unchecked(i).unwrap_unchecked();\n let field_0 = extract_property_value_from_selector(fields_0, sort.property_selector);\n let field_1 = extract_property_value_from_selector(fields_1, sort.property_selector);\n let eq = field_0 == field_1;\n let lt = field_0.lt(field_1);\n if sort.order == SortOrder.ASC {\n assert(eq | lt, \"Return notes not sorted in ascending order.\");\n } else if !eq {\n assert(!lt, \"Return notes not sorted in descending order.\");\n }\n }\n}\n\npub fn get_note(\n context: &mut PrivateContext,\n storage_slot: Field\n) -> (Note, Field) where Note: NoteInterface + NullifiableNote {\n let note = unsafe {\n get_note_internal(storage_slot)\n };\n\n // Constraining that we got a valid note from the oracle is fairly straightforward: all we need to do is check that\n // the metadata is correct, and that the note exists.\n check_note_header(*context, storage_slot, note);\n\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n context.push_note_hash_read_request(note_hash_for_read_request);\n\n (note, note_hash_for_read_request)\n}\n\npub fn get_notes(\n context: &mut PrivateContext,\n storage_slot: Field,\n options: NoteGetterOptions\n) -> (BoundedVec, BoundedVec) where Note: NoteInterface + NullifiableNote + Eq {\n let opt_notes = unsafe {\n get_notes_internal(storage_slot, options)\n };\n\n // We apply the constraints in a separate function instead of inlining them here to make it easier to test that\n // these checks correctly reject bad notes.\n constrain_get_notes_internal(context, storage_slot, opt_notes, options)\n}\n\nunconstrained fn apply_preprocessor(\n notes: [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL],\n preprocessor: fn([Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL], PREPROCESSOR_ARGS) -> [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL],\n preprocessor_args: PREPROCESSOR_ARGS\n) -> [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL] {\n preprocessor(notes, preprocessor_args)\n}\n\nfn constrain_get_notes_internal(\n context: &mut PrivateContext,\n storage_slot: Field,\n opt_notes: [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL],\n options: NoteGetterOptions\n) -> (BoundedVec, BoundedVec) where Note: NoteInterface + NullifiableNote + Eq {\n // The filter is applied first to avoid pushing note read requests for notes we're not interested in. Note that\n // while the filter function can technically mutate the contents of the notes (as opposed to simply removing some),\n // the private kernel will later validate that these note actually exist, so transformations would cause for that\n // check to fail.\n let filter_fn = options.filter;\n let filter_args = options.filter_args;\n let filtered_notes = filter_fn(opt_notes, filter_args);\n\n let notes = crate::utils::collapse_array(filtered_notes);\n let mut note_hashes: BoundedVec = BoundedVec::new();\n\n // We have now collapsed the sparse array of Options into a BoundedVec. This is a more ergonomic type and also\n // results in reduced gate counts when setting a limit value, since we guarantee that the limit is an upper bound\n // for the runtime length, and can therefore have fewer loop iterations.\n assert(notes.len() <= options.limit, \"Got more notes than limit.\");\n\n let mut prev_fields = [0; N];\n for i in 0..options.limit {\n if i < notes.len() {\n let note = notes.get_unchecked(i);\n let fields = note.serialize_content();\n check_note_header(*context, storage_slot, note);\n check_note_fields(fields, options.selects);\n if i != 0 {\n check_notes_order(prev_fields, fields, options.sorts);\n }\n prev_fields = fields;\n\n let note_hash_for_read_request = compute_note_hash_for_read_request(note);\n // TODO(https://github.com/AztecProtocol/aztec-packages/issues/1410): test to ensure\n // failure if malicious oracle injects 0 nonce here for a \"pre-existing\" note.\n context.push_note_hash_read_request(note_hash_for_read_request);\n note_hashes.push(note_hash_for_read_request);\n };\n }\n\n (notes, note_hashes)\n}\n\nunconstrained fn get_note_internal(storage_slot: Field) -> Note where Note: NoteInterface {\n let placeholder_note = [Option::none()];\n let placeholder_fields = [0; GET_NOTE_ORACLE_RETURN_LENGTH];\n let placeholder_note_length = [0; N];\n oracle::notes::get_notes(\n storage_slot,\n 0,\n [],\n [],\n [],\n [],\n [],\n [],\n [],\n [],\n [],\n 1, // limit\n 0, // offset\n NoteStatus.ACTIVE,\n placeholder_note,\n placeholder_fields,\n placeholder_note_length\n )[0].expect(f\"Failed to get a note\") // Notice: we don't allow dummies to be returned from get_note (singular).\n}\n\nunconstrained fn get_notes_internal(\n storage_slot: Field,\n options: NoteGetterOptions\n) -> [Option; MAX_NOTE_HASH_READ_REQUESTS_PER_CALL] where Note: NoteInterface {\n // This function simply performs some transformations from NoteGetterOptions into the types required by the oracle.\n\n let (num_selects, select_by_indexes, select_by_offsets, select_by_lengths, select_values, select_comparators, sort_by_indexes, sort_by_offsets, sort_by_lengths, sort_order) = flatten_options(options.selects, options.sorts);\n let placeholder_opt_notes = [Option::none(); MAX_NOTE_HASH_READ_REQUESTS_PER_CALL];\n let placeholder_fields = [0; GET_NOTES_ORACLE_RETURN_LENGTH];\n let placeholder_note_length = [0; N];\n\n let opt_notes = oracle::notes::get_notes(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n options.limit,\n options.offset,\n options.status,\n placeholder_opt_notes,\n placeholder_fields,\n placeholder_note_length\n );\n\n apply_preprocessor(opt_notes, options.preprocessor, options.preprocessor_args)\n}\n\nunconstrained pub fn view_notes(\n storage_slot: Field,\n options: NoteViewerOptions\n) -> BoundedVec where Note: NoteInterface {\n let (num_selects, select_by_indexes, select_by_offsets, select_by_lengths, select_values, select_comparators, sort_by_indexes, sort_by_offsets, sort_by_lengths, sort_order) = flatten_options(options.selects, options.sorts);\n let placeholder_opt_notes = [Option::none(); MAX_NOTES_PER_PAGE];\n let placeholder_fields = [0; VIEW_NOTE_ORACLE_RETURN_LENGTH];\n let placeholder_note_length = [0; N];\n\n let notes_array = oracle::notes::get_notes(\n storage_slot,\n num_selects,\n select_by_indexes,\n select_by_offsets,\n select_by_lengths,\n select_values,\n select_comparators,\n sort_by_indexes,\n sort_by_offsets,\n sort_by_lengths,\n sort_order,\n options.limit,\n options.offset,\n options.status,\n placeholder_opt_notes,\n placeholder_fields,\n placeholder_note_length\n );\n\n let mut notes = BoundedVec::new();\n for i in 0..notes_array.len() {\n if notes_array[i].is_some() {\n notes.push(notes_array[i].unwrap_unchecked());\n }\n }\n\n notes\n}\n\nunconstrained fn flatten_options(\n selects: BoundedVec, N>,\n sorts: BoundedVec, N>\n) -> (u8, [u8; N], [u8; N], [u8; N], [Field; N], [u8; N], [u8; N], [u8; N], [u8; N], [u8; N]) {\n let mut num_selects = 0;\n let mut select_by_indexes = [0; N];\n let mut select_by_offsets = [0; N];\n let mut select_by_lengths = [0; N];\n let mut select_values = [0; N];\n let mut select_comparators = [0; N];\n\n for i in 0..selects.len {\n let select = selects.get(i);\n if select.is_some() {\n select_by_indexes[num_selects] = select.unwrap_unchecked().property_selector.index;\n select_by_offsets[num_selects] = select.unwrap_unchecked().property_selector.offset;\n select_by_lengths[num_selects] = select.unwrap_unchecked().property_selector.length;\n select_values[num_selects] = select.unwrap_unchecked().value;\n select_comparators[num_selects] = select.unwrap_unchecked().comparator;\n num_selects += 1;\n };\n }\n\n let mut sort_by_indexes = [0; N];\n let mut sort_by_offsets = [0; N];\n let mut sort_by_lengths = [0; N];\n let mut sort_order = [0; N];\n for i in 0..sorts.len {\n let sort = sorts.get(i);\n if sort.is_some() {\n sort_by_indexes[i] = sort.unwrap_unchecked().property_selector.index;\n sort_by_offsets[i] = sort.unwrap_unchecked().property_selector.offset;\n sort_by_lengths[i] = sort.unwrap_unchecked().property_selector.length;\n sort_order[i] = sort.unwrap_unchecked().order;\n };\n }\n\n (\n num_selects, select_by_indexes, select_by_offsets, select_by_lengths, select_values, select_comparators, sort_by_indexes, sort_by_offsets, sort_by_lengths, sort_order\n )\n}\n"},"82":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/note_emission.nr","source":"/**\n * A note emission struct containing the information required for emitting a note.\n * The exact `emit` logic is passed in by the application code\n */\npub struct NoteEmission {\n note: Note\n}\n\nimpl NoteEmission {\n pub fn new(note: Note) -> Self {\n Self { note }\n }\n\n pub fn emit(self, _emit: fn[Env](Self) -> ()) {\n _emit(self);\n }\n\n pub fn discard(_self: Self) {}\n}\n\n/**\n * A struct wrapping note emission in `Option`.\n * This is the struct provided to application codes, which can be used to emit\n * only when a note was actually inserted.\n * It is fairly common to have cases where a function conditionally inserts,\n * and this allows us to keep the same API for emission in both cases (e.g. inserting\n * a change note in a token's transfer function only when there is \"change\" left).\n */\npub struct OuterNoteEmission {\n emission: Option>,\n}\n\nimpl OuterNoteEmission {\n pub fn new(emission: Option>) -> Self {\n Self { emission }\n }\n\n pub fn emit(self, _emit: fn[Env](NoteEmission) -> ()) {\n if self.emission.is_some() {\n _emit(self.emission.unwrap());\n }\n }\n\n pub fn discard(_self: Self) {}\n}\n"},"83":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/note/note_viewer_options.nr","source":"use std::option::Option;\nuse crate::note::note_getter_options::{PropertySelector, Select, Sort, NoteStatus};\nuse dep::protocol_types::traits::ToField;\nuse crate::note::note_interface::NoteInterface;\nuse crate::note::constants::MAX_NOTES_PER_PAGE;\n\n// docs:start:NoteViewerOptions\npub struct NoteViewerOptions {\n selects: BoundedVec, N>,\n sorts: BoundedVec, N>,\n limit: u32,\n offset: u32,\n status: u8,\n}\n// docs:end:NoteViewerOptions\n\nimpl NoteViewerOptions {\n pub fn new() -> NoteViewerOptions where Note: NoteInterface {\n NoteViewerOptions {\n selects: BoundedVec::new(),\n sorts: BoundedVec::new(),\n limit: MAX_NOTES_PER_PAGE as u32,\n offset: 0,\n status: NoteStatus.ACTIVE\n }\n }\n\n // This method adds a `Select` criterion to the options.\n // It takes a field_index indicating which field to select,\n // a value representing the specific value to match in that field, and\n // a comparator (For possible values of comparators, please see the Comparator enum from note_getter_options)\n pub fn select(\n &mut self,\n property_selector: PropertySelector,\n comparator: u8,\n value: T\n ) -> Self where T: ToField {\n self.selects.push(Option::some(Select::new(property_selector, comparator, value.to_field())));\n *self\n }\n\n pub fn sort(&mut self, property_selector: PropertySelector, order: u8) -> Self {\n self.sorts.push(Option::some(Sort::new(property_selector, order)));\n *self\n }\n\n pub fn set_limit(&mut self, limit: u32) -> Self {\n assert(limit <= MAX_NOTES_PER_PAGE as u32);\n // By requesting that the limit is a constant, we guarantee that it will be possible to loop over it, reducing\n // gate counts when a limit has been set. This isn't required in unconstrained code, but we still keep this\n // requirement here for API consistency.\n assert_constant(limit);\n self.limit = limit;\n *self\n }\n\n pub fn set_offset(&mut self, offset: u32) -> Self {\n self.offset = offset;\n *self\n }\n\n // This method sets the status value, which determines whether to retrieve active or nullified notes.\n pub fn set_status(&mut self, status: u8) -> Self {\n self.status = status;\n *self\n }\n}\n"},"91":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/context/unconstrained_context.nr","source":"use dep::protocol_types::{address::AztecAddress, traits::Deserialize};\nuse crate::oracle::{execution::{get_chain_id, get_version, get_contract_address, get_block_number}, storage::storage_read};\n\npub struct UnconstrainedContext {\n block_number: u32,\n contract_address: AztecAddress,\n version: Field,\n chain_id: Field,\n}\n\nimpl UnconstrainedContext {\n unconstrained fn new() -> Self {\n // We could call these oracles on the getters instead of at creation, which makes sense given that they might\n // not even be accessed. However any performance gains are minimal, and we'd rather fail early if a user\n // incorrectly attempts to create an UnconstrainedContext in an environment in which these oracles are not\n // available.\n let block_number = get_block_number();\n let contract_address = get_contract_address();\n let chain_id = get_chain_id();\n let version = get_version();\n Self { block_number, contract_address, version, chain_id }\n }\n\n unconstrained fn at(contract_address: AztecAddress) -> Self {\n let block_number = get_block_number();\n let chain_id = get_chain_id();\n let version = get_version();\n Self { block_number, contract_address, version, chain_id }\n }\n\n unconstrained fn at_historical(contract_address: AztecAddress, block_number: u32) -> Self {\n let chain_id = get_chain_id();\n let version = get_version();\n Self { block_number, contract_address, version, chain_id }\n }\n\n fn block_number(self) -> u32 {\n self.block_number\n }\n\n fn this_address(self) -> AztecAddress {\n self.contract_address\n }\n\n fn version(self) -> Field {\n self.version\n }\n\n fn chain_id(self) -> Field {\n self.chain_id\n }\n\n unconstrained fn raw_storage_read(self: Self, storage_slot: Field) -> [Field; N] {\n storage_read(self.this_address(), storage_slot, self.block_number())\n }\n\n unconstrained fn storage_read(\n self,\n storage_slot: Field\n ) -> T where T: Deserialize {\n T::deserialize(self.raw_storage_read(storage_slot))\n }\n}\n"},"93":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/context/private_context.nr","source":"use crate::{\n context::{inputs::PrivateContextInputs, packed_returns::PackedReturns},\n messaging::process_l1_to_l2_message, hash::{hash_args_array, ArgsHasher},\n keys::constants::{NULLIFIER_INDEX, OUTGOING_INDEX, NUM_KEY_TYPES, sk_generators},\n oracle::{\n key_validation_request::get_key_validation_request, arguments, returns::pack_returns,\n call_private_function::call_private_function_internal, header::get_header_at,\n logs::{emit_encrypted_note_log, emit_encrypted_event_log},\n enqueue_public_function_call::{\n enqueue_public_function_call_internal, notify_set_min_revertible_side_effect_counter,\n set_public_teardown_function_call_internal\n}\n}\n};\nuse dep::protocol_types::{\n abis::{\n call_context::CallContext, function_selector::FunctionSelector, max_block_number::MaxBlockNumber,\n validation_requests::{KeyValidationRequest, KeyValidationRequestAndGenerator},\n private_call_request::PrivateCallRequest, private_circuit_public_inputs::PrivateCircuitPublicInputs,\n public_call_request::PublicCallRequest, read_request::ReadRequest, note_hash::NoteHash,\n nullifier::Nullifier, log_hash::{LogHash, NoteLogHash, EncryptedLogHash}\n},\n address::{AztecAddress, EthAddress},\n constants::{\n MAX_NOTE_HASHES_PER_CALL, MAX_L2_TO_L1_MSGS_PER_CALL, MAX_NULLIFIERS_PER_CALL,\n MAX_PRIVATE_CALL_STACK_LENGTH_PER_CALL, MAX_PUBLIC_CALL_STACK_LENGTH_PER_CALL,\n MAX_NOTE_HASH_READ_REQUESTS_PER_CALL, MAX_NULLIFIER_READ_REQUESTS_PER_CALL,\n MAX_KEY_VALIDATION_REQUESTS_PER_CALL, MAX_ENCRYPTED_LOGS_PER_CALL, MAX_UNENCRYPTED_LOGS_PER_CALL,\n MAX_NOTE_ENCRYPTED_LOGS_PER_CALL, PUBLIC_DISPATCH_SELECTOR\n},\n header::Header, messaging::l2_to_l1_message::L2ToL1Message, traits::Empty\n};\n\n// When finished, one can call .finish() to convert back to the abi\npub struct PrivateContext {\n // docs:start:private-context\n inputs: PrivateContextInputs,\n side_effect_counter: u32,\n\n min_revertible_side_effect_counter: u32,\n is_fee_payer: bool,\n\n args_hash: Field,\n return_hash: Field,\n\n max_block_number: MaxBlockNumber,\n\n note_hash_read_requests: BoundedVec,\n nullifier_read_requests: BoundedVec,\n key_validation_requests_and_generators: BoundedVec,\n\n note_hashes: BoundedVec,\n nullifiers: BoundedVec,\n\n private_call_requests : BoundedVec,\n public_call_requests : BoundedVec,\n public_teardown_call_request: PublicCallRequest,\n l2_to_l1_msgs : BoundedVec,\n // docs:end:private-context\n\n // Header of a block whose state is used during private execution (not the block the transaction is included in).\n historical_header: Header,\n\n note_encrypted_logs_hashes: BoundedVec,\n encrypted_logs_hashes: BoundedVec,\n unencrypted_logs_hashes: BoundedVec,\n\n // Contains the last key validation request for each key type. This is used to cache the last request and avoid\n // fetching the same request multiple times.\n // The index of the array corresponds to the key type (0 nullifier, 1 incoming, 2 outgoing, 3 tagging).\n last_key_validation_requests: [Option; NUM_KEY_TYPES],\n}\n\nimpl PrivateContext {\n pub fn new(inputs: PrivateContextInputs, args_hash: Field) -> PrivateContext {\n PrivateContext {\n inputs,\n side_effect_counter: inputs.start_side_effect_counter + 1,\n min_revertible_side_effect_counter: 0,\n is_fee_payer: false,\n args_hash,\n return_hash: 0,\n max_block_number: MaxBlockNumber::empty(),\n note_hash_read_requests: BoundedVec::new(),\n nullifier_read_requests: BoundedVec::new(),\n key_validation_requests_and_generators: BoundedVec::new(),\n note_hashes: BoundedVec::new(),\n nullifiers: BoundedVec::new(),\n historical_header: inputs.historical_header,\n private_call_requests: BoundedVec::new(),\n public_call_requests: BoundedVec::new(),\n public_teardown_call_request: PublicCallRequest::empty(),\n l2_to_l1_msgs: BoundedVec::new(),\n note_encrypted_logs_hashes: BoundedVec::new(),\n encrypted_logs_hashes: BoundedVec::new(),\n unencrypted_logs_hashes: BoundedVec::new(),\n last_key_validation_requests: [Option::none(); NUM_KEY_TYPES]\n }\n }\n\n fn msg_sender(self) -> AztecAddress {\n self.inputs.call_context.msg_sender\n }\n\n fn this_address(self) -> AztecAddress {\n self.inputs.call_context.storage_contract_address\n }\n\n fn chain_id(self) -> Field {\n self.inputs.tx_context.chain_id\n }\n\n fn version(self) -> Field {\n self.inputs.tx_context.version\n }\n\n fn selector(self) -> FunctionSelector {\n self.inputs.call_context.function_selector\n }\n\n fn get_args_hash(self) -> Field {\n self.args_hash\n }\n\n fn push_note_hash(&mut self, note_hash: Field) {\n self.note_hashes.push(NoteHash { value: note_hash, counter: self.next_counter() });\n }\n\n fn push_nullifier(&mut self, nullifier: Field) {\n self.nullifiers.push(Nullifier { value: nullifier, note_hash: 0, counter: self.next_counter() });\n }\n\n fn push_nullifier_for_note_hash(&mut self, nullifier: Field, nullified_note_hash: Field) {\n self.nullifiers.push(Nullifier { value: nullifier, note_hash: nullified_note_hash, counter: self.next_counter() });\n }\n\n // Returns the header of a block whose state is used during private execution (not the block the transaction is\n // included in).\n fn get_header(self) -> Header {\n self.historical_header\n }\n\n // Returns the header of an arbitrary block whose block number is less than or equal to the block number\n // of historical header.\n pub fn get_header_at(self, block_number: u32) -> Header {\n get_header_at(block_number, self)\n }\n\n pub fn set_return_hash(&mut self, returns_hasher: ArgsHasher) {\n pack_returns(returns_hasher.fields);\n self.return_hash = returns_hasher.hash();\n }\n\n pub fn finish(self) -> PrivateCircuitPublicInputs {\n PrivateCircuitPublicInputs {\n call_context: self.inputs.call_context,\n args_hash: self.args_hash,\n returns_hash: self.return_hash,\n min_revertible_side_effect_counter: self.min_revertible_side_effect_counter,\n is_fee_payer: self.is_fee_payer,\n max_block_number: self.max_block_number,\n note_hash_read_requests: self.note_hash_read_requests.storage,\n nullifier_read_requests: self.nullifier_read_requests.storage,\n key_validation_requests_and_generators: self.key_validation_requests_and_generators.storage,\n note_hashes: self.note_hashes.storage,\n nullifiers: self.nullifiers.storage,\n private_call_requests: self.private_call_requests.storage,\n public_call_requests: self.public_call_requests.storage,\n public_teardown_call_request: self.public_teardown_call_request,\n l2_to_l1_msgs: self.l2_to_l1_msgs.storage,\n start_side_effect_counter: self.inputs.start_side_effect_counter,\n end_side_effect_counter: self.side_effect_counter,\n note_encrypted_logs_hashes: self.note_encrypted_logs_hashes.storage,\n encrypted_logs_hashes: self.encrypted_logs_hashes.storage,\n unencrypted_logs_hashes: self.unencrypted_logs_hashes.storage,\n historical_header: self.historical_header,\n tx_context: self.inputs.tx_context\n }\n }\n\n pub fn set_as_fee_payer(&mut self) {\n dep::protocol_types::debug_log::debug_log_format(\"Setting {0} as fee payer\", [self.this_address().to_field()]);\n self.is_fee_payer = true;\n }\n\n pub fn end_setup(&mut self) {\n // dep::protocol_types::debug_log::debug_log_format(\n // \"Ending setup at counter {0}\",\n // [self.side_effect_counter as Field]\n // );\n self.min_revertible_side_effect_counter = self.side_effect_counter;\n notify_set_min_revertible_side_effect_counter(self.min_revertible_side_effect_counter);\n }\n\n // docs:start:max-block-number\n pub fn set_tx_max_block_number(&mut self, max_block_number: u32) {\n // docs:end:max-block-number\n self.max_block_number = MaxBlockNumber::min_with_u32(self.max_block_number, max_block_number);\n }\n\n pub fn push_note_hash_read_request(&mut self, note_hash: Field) {\n let side_effect = ReadRequest { value: note_hash, counter: self.next_counter() };\n self.note_hash_read_requests.push(side_effect);\n }\n\n pub fn push_nullifier_read_request(&mut self, nullifier: Field) {\n let request = ReadRequest { value: nullifier, counter: self.next_counter() };\n self.nullifier_read_requests.push(request);\n }\n\n pub fn request_nsk_app(&mut self, npk_m_hash: Field) -> Field {\n self.request_sk_app(npk_m_hash, NULLIFIER_INDEX)\n }\n\n pub fn request_ovsk_app(&mut self, ovpk_m_hash: Field) -> Field {\n self.request_sk_app(ovpk_m_hash, OUTGOING_INDEX)\n }\n\n fn request_sk_app(&mut self, pk_m_hash: Field, key_index: Field) -> Field {\n let cached_request = self.last_key_validation_requests[key_index].unwrap_or(KeyValidationRequest::empty());\n\n if cached_request.pk_m.hash() == pk_m_hash {\n // We get a match so the cached request is the latest one\n cached_request.sk_app\n } else {\n // We didn't get a match meaning the cached result is stale. We fetch new values from oracle and instruct\n // protocol circuits to validate them by storing the validation request in context.\n let request = get_key_validation_request(pk_m_hash, key_index);\n let request_and_generator = KeyValidationRequestAndGenerator { request, sk_app_generator: sk_generators[key_index] };\n // We constrain that the pk_m_hash matches the one in the request (otherwise we could get an arbitrary\n // valid key request and not the one corresponding to pk_m_hash).\n assert(request.pk_m.hash() == pk_m_hash);\n self.key_validation_requests_and_generators.push(request_and_generator);\n self.last_key_validation_requests[key_index] = Option::some(request);\n request.sk_app\n }\n }\n\n // docs:start:context_message_portal\n pub fn message_portal(&mut self, recipient: EthAddress, content: Field) {\n // docs:end:context_message_portal\n let message = L2ToL1Message { recipient, content, counter: self.next_counter() };\n self.l2_to_l1_msgs.push(message);\n }\n\n // docs:start:context_consume_l1_to_l2_message\n // docs:start:consume_l1_to_l2_message\n pub fn consume_l1_to_l2_message(&mut self, content: Field, secret: Field, sender: EthAddress) {\n // docs:end:context_consume_l1_to_l2_message\n let nullifier = process_l1_to_l2_message(\n self.historical_header.state.l1_to_l2_message_tree.root,\n self.this_address(),\n sender,\n self.chain_id(),\n self.version(),\n content,\n secret\n );\n\n // Push nullifier (and the \"commitment\" corresponding to this can be \"empty\")\n self.push_nullifier(nullifier)\n }\n // docs:end:consume_l1_to_l2_message\n\n // NB: A randomness value of 0 signals that the kernels should not mask the contract address\n // used in siloing later on e.g. 'handshaking' contract w/ known address.\n pub fn emit_raw_event_log_with_masked_address(\n &mut self,\n randomness: Field,\n log: [u8; M],\n log_hash: Field\n ) {\n let counter = self.next_counter();\n let contract_address = self.this_address();\n let len = log.len() as Field + 4;\n let side_effect = EncryptedLogHash { value: log_hash, counter, length: len, randomness };\n self.encrypted_logs_hashes.push(side_effect);\n\n emit_encrypted_event_log(contract_address, randomness, log, counter);\n }\n\n pub fn emit_raw_note_log(&mut self, note_hash_counter: u32, log: [u8; M], log_hash: Field) {\n let counter = self.next_counter();\n let len = log.len() as Field + 4;\n let side_effect = NoteLogHash { value: log_hash, counter, length: len, note_hash_counter };\n self.note_encrypted_logs_hashes.push(side_effect);\n\n emit_encrypted_note_log(note_hash_counter, log, counter);\n }\n\n pub fn call_private_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) -> PackedReturns {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_private_function_with_packed_args(contract_address, function_selector, args_hash, false, false)\n }\n\n pub fn static_call_private_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) -> PackedReturns {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_private_function_with_packed_args(contract_address, function_selector, args_hash, true, false)\n }\n\n pub fn delegate_call_private_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) -> PackedReturns {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_private_function_with_packed_args(contract_address, function_selector, args_hash, false, true)\n }\n\n pub fn call_private_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) -> PackedReturns {\n self.call_private_function_with_packed_args(contract_address, function_selector, 0, false, false)\n }\n\n pub fn static_call_private_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) -> PackedReturns {\n self.call_private_function_with_packed_args(contract_address, function_selector, 0, true, false)\n }\n\n pub fn delegate_call_private_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) -> PackedReturns {\n self.call_private_function_with_packed_args(contract_address, function_selector, 0, false, true)\n }\n\n pub fn call_private_function_with_packed_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args_hash: Field,\n is_static_call: bool,\n is_delegate_call: bool\n ) -> PackedReturns {\n let mut is_static_call = is_static_call | self.inputs.call_context.is_static_call;\n let start_side_effect_counter = self.side_effect_counter;\n let (end_side_effect_counter, returns_hash) = call_private_function_internal(\n contract_address,\n function_selector,\n args_hash,\n start_side_effect_counter,\n is_static_call,\n is_delegate_call\n );\n\n self.side_effect_counter = end_side_effect_counter + 1;\n\n // TODO (fees) figure out why this crashes the prover and enable it\n // we need this in order to pay fees inside child call contexts\n // assert(\n // (item.public_inputs.min_revertible_side_effect_counter == 0 as u32)\n // | (item.public_inputs.min_revertible_side_effect_counter\n // > self.min_revertible_side_effect_counter)\n // );\n\n // if item.public_inputs.min_revertible_side_effect_counter\n // > self.min_revertible_side_effect_counter {\n // self.min_revertible_side_effect_counter = item.public_inputs.min_revertible_side_effect_counter;\n // }\n\n let call_context = self.generate_call_context(\n contract_address,\n function_selector,\n is_static_call,\n is_delegate_call\n );\n\n self.private_call_requests.push(\n PrivateCallRequest {\n contract_address,\n call_context,\n args_hash,\n returns_hash,\n start_side_effect_counter,\n end_side_effect_counter\n }\n );\n\n PackedReturns::new(returns_hash)\n }\n\n pub fn call_public_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_public_function_with_packed_args(contract_address, function_selector, args_hash, false, false)\n }\n\n pub fn static_call_public_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_public_function_with_packed_args(contract_address, function_selector, args_hash, true, false)\n }\n\n pub fn delegate_call_public_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.call_public_function_with_packed_args(contract_address, function_selector, args_hash, false, true)\n }\n\n pub fn call_public_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) {\n self.call_public_function_with_packed_args(contract_address, function_selector, 0, false, false)\n }\n\n pub fn static_call_public_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) {\n self.call_public_function_with_packed_args(contract_address, function_selector, 0, true, false)\n }\n\n pub fn delegate_call_public_function_no_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector\n ) {\n self.call_public_function_with_packed_args(contract_address, function_selector, 0, false, true)\n }\n\n pub fn call_public_function_with_packed_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args_hash: Field,\n is_static_call: bool,\n is_delegate_call: bool\n ) {\n let counter = self.next_counter();\n\n let mut is_static_call = is_static_call | self.inputs.call_context.is_static_call;\n // TODO(https://github.com/AztecProtocol/aztec-packages/issues/8985): Fix this.\n // WARNING: This is insecure and should be temporary!\n // The oracle repacks the arguments and returns a new args_hash.\n // new_args = [selector, ...old_args], so as to make it suitable to call the public dispatch function.\n // We don't validate or compute it in the circuit because a) it's harder to do with slices, and\n // b) this is only temporary.\n let args_hash = enqueue_public_function_call_internal(\n contract_address,\n function_selector,\n args_hash,\n counter,\n is_static_call,\n is_delegate_call\n );\n\n // Public calls are rerouted through the dispatch function.\n let function_selector = comptime {\n FunctionSelector::from_field(PUBLIC_DISPATCH_SELECTOR)\n };\n let call_context = self.generate_call_context(\n contract_address,\n function_selector,\n is_static_call,\n is_delegate_call\n );\n\n let call_request = PublicCallRequest { contract_address, call_context, args_hash, counter };\n self.public_call_requests.push(call_request);\n }\n\n pub fn set_public_teardown_function(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args: [Field; ARGS_COUNT]\n ) {\n let args_hash = hash_args_array(args);\n arguments::pack_arguments_array(args);\n self.set_public_teardown_function_with_packed_args(contract_address, function_selector, args_hash, false, false)\n }\n\n pub fn set_public_teardown_function_with_packed_args(\n &mut self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n args_hash: Field,\n is_static_call: bool,\n is_delegate_call: bool\n ) {\n let counter = self.next_counter();\n\n let mut is_static_call = is_static_call | self.inputs.call_context.is_static_call;\n // TODO(https://github.com/AztecProtocol/aztec-packages/issues/8985): Fix this.\n // WARNING: This is insecure and should be temporary!\n // The oracle repacks the arguments and returns a new args_hash.\n // new_args = [selector, ...old_args], so as to make it suitable to call the public dispatch function.\n // We don't validate or compute it in the circuit because a) it's harder to do with slices, and\n // b) this is only temporary.\n let args_hash = set_public_teardown_function_call_internal(\n contract_address,\n function_selector,\n args_hash,\n counter,\n is_static_call,\n is_delegate_call\n );\n\n let function_selector = comptime {\n FunctionSelector::from_field(PUBLIC_DISPATCH_SELECTOR)\n };\n let call_context = self.generate_call_context(\n contract_address,\n function_selector,\n is_static_call,\n is_delegate_call\n );\n\n self.public_teardown_call_request = PublicCallRequest {\n contract_address,\n call_context,\n args_hash,\n counter,\n };\n }\n\n fn generate_call_context(\n self,\n contract_address: AztecAddress,\n function_selector: FunctionSelector,\n is_static_call: bool,\n is_delegate_call: bool\n ) -> CallContext {\n let msg_sender = if is_delegate_call {\n self.msg_sender()\n } else {\n self.this_address()\n };\n let storage_contract_address = if is_delegate_call {\n self.this_address()\n } else {\n contract_address\n };\n CallContext { msg_sender, storage_contract_address, function_selector, is_static_call, is_delegate_call }\n }\n\n fn next_counter(&mut self) -> u32 {\n let counter = self.side_effect_counter;\n self.side_effect_counter += 1;\n counter\n }\n}\n\nimpl Empty for PrivateContext {\n fn empty() -> Self {\n PrivateContext {\n inputs: PrivateContextInputs::empty(),\n side_effect_counter: 0 as u32,\n min_revertible_side_effect_counter: 0 as u32,\n is_fee_payer: false,\n args_hash: 0,\n return_hash: 0,\n max_block_number: MaxBlockNumber::empty(),\n note_hash_read_requests: BoundedVec::new(),\n nullifier_read_requests: BoundedVec::new(),\n key_validation_requests_and_generators: BoundedVec::new(),\n note_hashes: BoundedVec::new(),\n nullifiers: BoundedVec::new(),\n private_call_requests: BoundedVec::new(),\n public_call_requests: BoundedVec::new(),\n public_teardown_call_request: PublicCallRequest::empty(),\n l2_to_l1_msgs: BoundedVec::new(),\n historical_header: Header::empty(),\n note_encrypted_logs_hashes: BoundedVec::new(),\n encrypted_logs_hashes: BoundedVec::new(),\n unencrypted_logs_hashes: BoundedVec::new(),\n last_key_validation_requests: [Option::none(); NUM_KEY_TYPES]\n }\n }\n}\n"},"97":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/encrypted_logs/header.nr","source":"use dep::protocol_types::{address::AztecAddress, scalar::Scalar, point::Point};\n\nuse crate::keys::{point_to_symmetric_key::point_to_symmetric_key, public_keys::ToPoint};\n\nuse std::aes128::aes128_encrypt;\n\npub struct EncryptedLogHeader {\n address: AztecAddress,\n}\n\nimpl EncryptedLogHeader {\n fn new(address: AztecAddress) -> Self {\n EncryptedLogHeader { address }\n }\n\n fn compute_ciphertext(self, secret: Scalar, pk: T) -> [u8; 48] where T: ToPoint {\n let full_key = point_to_symmetric_key(secret, pk.to_point());\n let mut sym_key = [0; 16];\n let mut iv = [0; 16];\n\n for i in 0..16 {\n sym_key[i] = full_key[i];\n iv[i] = full_key[i + 16];\n }\n\n let input: [u8; 32] = self.address.to_field().to_be_bytes();\n aes128_encrypt(input, iv, sym_key).as_array()\n }\n}\n\n#[test]\nunconstrained fn test_encrypted_log_header_matches_noir() {\n let address = AztecAddress::from_field(0xdeadbeef);\n let header = EncryptedLogHeader::new(address);\n let secret = Scalar {\n lo: 0x00000000000000000000000000000000649e7ca01d9de27b21624098b897babd,\n hi: 0x0000000000000000000000000000000023b3127c127b1f29a7adff5cccf8fb06\n };\n let point = crate::keys::public_keys::IvpkM {\n inner: Point {\n x: 0x2688431c705a5ff3e6c6f2573c9e3ba1c1026d2251d0dbbf2d810aa53fd1d186,\n y: 0x1e96887b117afca01c00468264f4f80b5bb16d94c1808a448595f115556e5c8e,\n is_infinite: false\n }\n };\n\n let ciphertext = header.compute_ciphertext(secret, point);\n\n // The following value was generated by `encrypted_log_header.test.ts`.\n // --> Run the test with AZTEC_GENERATE_TEST_DATA=1 flag to update test data.\n let expected_header_ciphertext_from_typescript = [\n 226, 240, 253, 6, 28, 52, 19, 131, 33, 132, 178, 212, 245, 62, 14, 190, 194, 44, 7, 131, 160, 83, 64, 181, 98, 38, 153, 214, 62, 171, 253, 161, 111, 191, 28, 247, 216, 26, 222, 171, 176, 218, 48, 209, 73, 89, 200, 209\n ];\n\n assert_eq(ciphertext, expected_header_ciphertext_from_typescript);\n}\n"},"98":{"path":"/Users/kim/nargo/github.com/AztecProtocol/aztec-packages/aztec-packages-v0.57.0/noir-projects/aztec-nr/aztec/src/encrypted_logs/encrypted_note_emission.nr","source":"use crate::{\n context::PrivateContext, note::{note_emission::NoteEmission, note_interface::NoteInterface},\n keys::{getters::get_ovsk_app, public_keys::{PublicKeys, OvpkM, IvpkM}},\n encrypted_logs::payload::compute_encrypted_log\n};\nuse dep::protocol_types::{hash::sha256_to_field, address::AztecAddress, abis::note_hash::NoteHash};\n\nfn compute_raw_note_log(\n context: PrivateContext,\n note: Note,\n ovsk_app: Field,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> (u32, [u8; 416 + N * 32], Field) where Note: NoteInterface {\n let note_header = note.get_header();\n let note_hash_counter = note_header.note_hash_counter;\n let storage_slot = note_header.storage_slot;\n\n // TODO(#8589): use typesystem to skip this check when not needed\n let note_exists = context.note_hashes.storage.any(|n: NoteHash| n.counter == note_hash_counter);\n assert(note_exists, \"Can only emit a note log for an existing note.\");\n\n let contract_address: AztecAddress = context.this_address();\n\n let plaintext = note.to_be_bytes(storage_slot);\n let encrypted_log: [u8; 416 + N * 32] = compute_encrypted_log(contract_address, ovsk_app, ovpk, ivpk, recipient, plaintext);\n let log_hash = sha256_to_field(encrypted_log);\n\n (note_hash_counter, encrypted_log, log_hash)\n}\n\nunconstrained fn compute_raw_note_log_unconstrained(\n context: PrivateContext,\n note: Note,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> (u32, [u8; 416 + N * 32], Field) where Note: NoteInterface {\n let ovsk_app = get_ovsk_app(ovpk.hash());\n compute_raw_note_log(context, note, ovsk_app, ovpk, ivpk, recipient)\n}\n\n// This function seems to be affected by the following Noir bug:\n// https://github.com/noir-lang/noir/issues/5771\n// If you get weird behavior it might be because of it.\npub fn encode_and_encrypt_note(\n context: &mut PrivateContext,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> fn[(&mut PrivateContext, OvpkM, IvpkM, AztecAddress)](NoteEmission) -> () where Note: NoteInterface {\n | e: NoteEmission | {\n let ovsk_app: Field = context.request_ovsk_app(ovpk.hash());\n\n let (note_hash_counter, encrypted_log, log_hash) = compute_raw_note_log(*context, e.note, ovsk_app, ovpk, ivpk, recipient);\n context.emit_raw_note_log(note_hash_counter, encrypted_log, log_hash);\n }\n}\n\npub fn encode_and_encrypt_note_unconstrained(\n context: &mut PrivateContext,\n ovpk: OvpkM,\n ivpk: IvpkM,\n recipient: AztecAddress\n) -> fn[(&mut PrivateContext, OvpkM, IvpkM, AztecAddress)](NoteEmission) -> () where Note: NoteInterface {\n | e: NoteEmission | {\n // Having the log hash be unconstrained here is fine because the way this works is we send the log hash\n // to the kernel, and it gets included as part of its public inputs. Then we send the tx to the sequencer,\n // which includes the kernel proof and the log preimages. The sequencer computes the hashes of the logs\n // and checks that they are the ones in the public inputs of the kernel, and drops the tx otherwise (proposing\n // the block on L1 would later fail if it didn't because of txs effects hash mismatch).\n // So if we don't constrain the log hash, then a malicious sender can compute the correct log, submit a bad\n // log hash to the kernel, and then submit the bad log preimage to the sequencer. All checks will pass, but\n // the submitted log will not be the one that was computed by the app.\n // In the unconstrained case, we don't care about the log at all because we don't do anything with it,\n // and because it's unconstrained: it could be anything. So if a sender chooses to broadcast the tx with a log\n // that is different from the one that was used in the circuit, then they'll be able to, but they were already\n // able to change the log before anyway, so the end result is the same. It's important here that we do not\n // return the log from this function to the app, otherwise it could try to do stuff with it and then that might\n // be wrong.\n // Regarding the note hash counter, this is used for squashing. The kernel assumes that a given note can have\n // more than one log and removes all of the matching ones, so all a malicious sender could do is either: cause\n // for the log to be deleted when it shouldn't have (which is fine - they can already make the content be\n // whatever), or cause for the log to not be deleted when it should have (which is also fine - it'll be a log\n // for a note that doesn't exist).\n let (note_hash_counter, encrypted_log, log_hash) = unsafe {\n compute_raw_note_log_unconstrained(*context, e.note, ovpk, ivpk, recipient)\n };\n context.emit_raw_note_log(note_hash_counter, encrypted_log, log_hash);\n }\n}\n\n/// Encrypts a partial log and emits it. Takes recipient keys on the input and encrypts both the outgoing and incoming\n/// logs for the recipient. This is necessary because in the partial notes flow the outgoing always has to be the same\n/// as the incoming to not leak any information (typically the `from` party finalizing the partial note in public does\n/// not know who the recipient is).\npub fn encrypt_and_emit_partial_log(\n context: &mut PrivateContext,\n log_plaintext: [u8; M],\n recipient_keys: PublicKeys,\n recipient: AztecAddress\n) {\n let ovsk_app: Field = context.request_ovsk_app(recipient_keys.ovpk_m.hash());\n\n let encrypted_log: [u8; 352 + M] = compute_encrypted_log(\n context.this_address(),\n ovsk_app,\n recipient_keys.ovpk_m,\n recipient_keys.ivpk_m,\n recipient,\n log_plaintext\n );\n let log_hash = sha256_to_field(encrypted_log);\n\n // Unfortunately we need to push a dummy note hash to the context here because a note log requires having\n // a counter that corresponds to a note hash in the same call.\n let note_hash_counter = context.side_effect_counter;\n context.push_note_hash(5);\n\n context.emit_raw_note_log(note_hash_counter, encrypted_log, log_hash);\n}\n"}}} \ No newline at end of file diff --git a/profile.io-social-cipher/frontend/src/app/favicon.ico b/profile.io-social-cipher/frontend/src/app/favicon.ico new file mode 100644 index 000000000..718d6fea4 Binary files /dev/null and b/profile.io-social-cipher/frontend/src/app/favicon.ico differ diff --git a/profile.io-social-cipher/frontend/src/app/globals.css b/profile.io-social-cipher/frontend/src/app/globals.css new file mode 100644 index 000000000..fd81e8858 --- /dev/null +++ b/profile.io-social-cipher/frontend/src/app/globals.css @@ -0,0 +1,27 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +:root { + --foreground-rgb: 0, 0, 0; + --background-start-rgb: 214, 219, 220; + --background-end-rgb: 255, 255, 255; +} + +@media (prefers-color-scheme: dark) { + :root { + --foreground-rgb: 255, 255, 255; + --background-start-rgb: 0, 0, 0; + --background-end-rgb: 0, 0, 0; + } +} + +body { + color: rgb(var(--foreground-rgb)); + background: linear-gradient( + to bottom, + transparent, + rgb(var(--background-end-rgb)) + ) + rgb(var(--background-start-rgb)); +} diff --git a/profile.io-social-cipher/frontend/src/app/hooks/AztecHook.tsx b/profile.io-social-cipher/frontend/src/app/hooks/AztecHook.tsx new file mode 100644 index 000000000..3bf56b690 --- /dev/null +++ b/profile.io-social-cipher/frontend/src/app/hooks/AztecHook.tsx @@ -0,0 +1,146 @@ + +import { useState } from "react"; + +export const useAztec = () => { + const [aliceWallet, setAliceWallet] = useState(null); + const [bobWallet, setBobWallet] = useState(null); + const [contract, setContract] = useState(null); + const [wallet, setWallet] = useState(null); // this is jsut for planB. Alice & Bob's wallets are used currently + + const setupContract = async () => { + console.log('setupContract start!!!'); + const { ProfileContract } = await import('../contracts/Profile'); // dynamic import + const wallet = await createWalletWithDeployedTestAccounts(); // using Alice & Bob wallet is simpler than create a new wallet + // const wallet = await getWallet(); + console.log('got a wallet: ', wallet); + + // Contract deployment + const contract = await ProfileContract.deploy(wallet, 100, wallet.getAddress(), wallet.getAddress()) + .send() + .deployed(); + + setContract(contract); + console.log(`Contract deployed at ${contract.address}`); + console.log(`contract`, contract); + } + + /** + * TODO: Just using JSON.stringify doesn't fully store wallet (e.g. missing some wallet's functions). Not sure using local storage is the best way to save wallets. Find another way. + * @param _wallet + * @returns + */ + const saveWallet = (_wallet: any) => { + if (!_wallet) { + console.log('no wallet info'); + return; + } + + // LStorage.set('azt-wallet', JSON.stringify(_wallet)); + console.log('wallet saved on Local Storage'); + } + + const dynamicallyLoadDependencies = async () => { + const { Fr, GrumpkinScalar, Contract, createPXEClient } = await import('@aztec/aztec.js'); + const { getSchnorrAccount } = await import('@aztec/accounts/schnorr'); + const { getDeployedTestAccountsWallets } = await import('@aztec/accounts/testing'); + + return {Fr, GrumpkinScalar, Contract, createPXEClient, getSchnorrAccount, getDeployedTestAccountsWallets} + } + + /** + * using 'getDeployedTestAccountsWallets', set Alice & Bob's wallet useful for testing + * @returns Alice wallet + */ + const createWalletWithDeployedTestAccounts = async() => { + console.log('createWalletWithDeployedTestAccounts run: '); + const PXE_URL = process.env.PXE_URL || 'http://localhost:8080'; + + const {createPXEClient, getDeployedTestAccountsWallets} = await dynamicallyLoadDependencies(); + + const pxe = createPXEClient(PXE_URL); + const { l1ChainId } = await pxe.getNodeInfo(); + console.log(`Connected to chain ${l1ChainId}`); + console.log('pxe: ', pxe); + + const accounts = await getDeployedTestAccountsWallets(pxe); + const aliceWallet = accounts[0]; + const bobWallet = accounts[1]; + const alice = aliceWallet.getAddress(); + const bob = bobWallet.getAddress(); + + console.log(`Loaded alice's account at ${alice.toShortString()}`); + console.log(`Loaded bob's account at ${bob.toShortString()}`); + + setAliceWallet(aliceWallet); + setBobWallet(bobWallet); + + return aliceWallet; + } + + /** + * similar to createWalletWithDeployedTestAccounts() but create a new wallet + * @returns newly created wallet + */ + const createWallet = async () => { + const PXE_URL = process.env.PXE_URL || 'http://localhost:8080'; + const {Fr, GrumpkinScalar, getSchnorrAccount, createPXEClient} = await dynamicallyLoadDependencies(); + + // Create a wallet + const secretKey = Fr?.random(); + const salt = Fr.ZERO; + const signingPrivateKey = GrumpkinScalar.random(); + const pxe = createPXEClient(PXE_URL); + const { l1ChainId } = await pxe.getNodeInfo(); + + console.log(`Connected to chain ${l1ChainId}`); + + const newWallet = await getSchnorrAccount(pxe, secretKey, signingPrivateKey, salt).waitSetup(); + + console.log(`New account deployed at ${newWallet.getAddress()}`); + + setWallet(newWallet); + + return newWallet; + } + + const mintProfileNFT = async (birthdate: string) => { + console.log('mintProfileNFT: fn:'); + console.log('birthdate: ', birthdate); + console.log('contract', contract); + console.log(aliceWallet); + + // const address = wallet.getAddress(); + const address = aliceWallet.getAddress(); + console.log('Alice address: ', address); + + const isUserAdult = isAdult(birthdate); + console.log('is user adult?', isUserAdult); + + const randomeInt = Math.floor(Math.random() * 10000) + 1; + const res = await contract.methods.mintNFT(address, randomeInt, isUserAdult).send().wait(); + + console.log('mintProfileNFT res: ', res); + + return res; + } + + const seeNFTInfo = async () => { + console.log('Get NFT note: '); + + const address = aliceWallet.getAddress(); + const res = await contract.methods.get_profile_nfts(address, 0).simulate(); + + console.log('NFT note result: ', res); + return res; + } + + const isAdult = (birthdateString: string): boolean => { + const birthdate = new Date(birthdateString); + const today = new Date(); + const adultDate = new Date(today.getFullYear() - 18, today.getMonth(), today.getDate()); + + return birthdate <= adultDate; + } + + return { setupContract, createWallet, mintProfileNFT, seeNFTInfo } +} diff --git a/profile.io-social-cipher/frontend/src/app/layout.tsx b/profile.io-social-cipher/frontend/src/app/layout.tsx new file mode 100644 index 000000000..40e027fbe --- /dev/null +++ b/profile.io-social-cipher/frontend/src/app/layout.tsx @@ -0,0 +1,22 @@ +import type { Metadata } from 'next' +import { Inter } from 'next/font/google' +import './globals.css' + +const inter = Inter({ subsets: ['latin'] }) + +export const metadata: Metadata = { + title: 'Create Next App', + description: 'Generated by create next app', +} + +export default function RootLayout({ + children, +}: { + children: React.ReactNode +}) { + return ( + + {children} + + ) +} diff --git a/profile.io-social-cipher/frontend/src/app/page.tsx b/profile.io-social-cipher/frontend/src/app/page.tsx new file mode 100644 index 000000000..0f7bca2c9 --- /dev/null +++ b/profile.io-social-cipher/frontend/src/app/page.tsx @@ -0,0 +1,106 @@ +'use client'; + +import { useState } from "react"; +import { useAztec } from "./hooks/AztecHook" + +export default function Home() { + const [isContractExecuting, setIsContractExecuting] = useState(false); + const [indicator, setIndicator] = useState('Hi :)'); + + const {setupContract, mintProfileNFT, seeNFTInfo} = useAztec(); + const buttonStyles = 'border rounded p-2 my-4 disabled:bg-gray-700 disabled:cursor-not-allowed'; + const sectionStyles = 'px-8 py-4'; + + const initContract = async () => { + setIndicator('Deploying NFT contract and set accounts.') + setIsContractExecuting(true); + await setupContract(); + setIsContractExecuting(false); + setIndicator('The NFT contract has been deployed and Alice & Bob accounts are ready to use.') + } + + const mintNFT = async () => { + setIndicator('Minting a NFT with a note'); + setIsContractExecuting(true); + const tx = await mintProfileNFT("1990/12/31"); + setIsContractExecuting(false); + setIndicator(` + Minted! + + blockNumber: ${tx.blockNumber}, + transactionFee: ${tx.transactionFee} + `); + } + + const checkNFTwithNote = async () => { + setIndicator(`Getting Alice's NFT with 'is_adult' note`); + setIsContractExecuting(true); + const nftList = await seeNFTInfo(); + const [ID, isAdult] = nftList[0]; + + setIsContractExecuting(false); + + setIndicator(` + NFT ID: ${ID}, + isAdult: ${isAdult} + `); + } + + return ( +
+

Aztec Profile.io Social Cipher

+ +
+ { + isContractExecuting && + + + + + } +

Message:

+

+ {indicator} +

+
+ +
+

+ Set up Aztec NFT contract and accounts. Alice will be a NFT holder. + You can see more data in the console. Please open the browser inspector. +

+ +
+ +
+

+ When a NFT is minted, a note will be added. It can be birthdate, gender, nationalities, eye colour, living country, etc. +
+ In this case, adding a note called "is_adult" which shows whether Alice is an adult or not. +

+ +
+ +
+

+ Alice is the one who minted the NFT. Therefore she can see NFT and its note data. +

+ +
+ +
+

+ Bob wants to know whether Alice is an adult or not. Bob requests to Alice a proof. (Work In Progress) +

+ +
+ +
+

+ Alice prove that she is an adult. (Work In Progress) +

+ +
+
+ ) +} diff --git a/profile.io-social-cipher/frontend/tailwind.config.ts b/profile.io-social-cipher/frontend/tailwind.config.ts new file mode 100644 index 000000000..1af3b8f01 --- /dev/null +++ b/profile.io-social-cipher/frontend/tailwind.config.ts @@ -0,0 +1,20 @@ +import type { Config } from 'tailwindcss' + +const config: Config = { + content: [ + './src/pages/**/*.{js,ts,jsx,tsx,mdx}', + './src/components/**/*.{js,ts,jsx,tsx,mdx}', + './src/app/**/*.{js,ts,jsx,tsx,mdx}', + ], + theme: { + extend: { + backgroundImage: { + 'gradient-radial': 'radial-gradient(var(--tw-gradient-stops))', + 'gradient-conic': + 'conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))', + }, + }, + }, + plugins: [], +} +export default config diff --git a/profile.io-social-cipher/frontend/tsconfig.json b/profile.io-social-cipher/frontend/tsconfig.json new file mode 100644 index 000000000..e59724b28 --- /dev/null +++ b/profile.io-social-cipher/frontend/tsconfig.json @@ -0,0 +1,27 @@ +{ + "compilerOptions": { + "target": "es5", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./src/*"] + } + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], + "exclude": ["node_modules"] +} diff --git a/profile.io-social-cipher/tsconfig.json b/profile.io-social-cipher/tsconfig.json new file mode 100644 index 000000000..90adecade --- /dev/null +++ b/profile.io-social-cipher/tsconfig.json @@ -0,0 +1,23 @@ +{ + "compilerOptions": { + "outDir": "dest", + "rootDir": "src", + "target": "es2020", + "lib": ["dom", "esnext", "es2017.object"], + "module": "NodeNext", + "moduleResolution": "NodeNext", + "strict": true, + "declaration": true, + "allowSyntheticDefaultImports": true, + "esModuleInterop": true, + "downlevelIteration": true, + "inlineSourceMap": true, + "declarationMap": true, + "importHelpers": true, + "resolveJsonModule": true, + "composite": true, + "skipLibCheck": true + }, + "references": [], + "include": ["src", "src/*.json"] +} \ No newline at end of file