New crate air_interpreter_sede introduces a flexible serialization and deserialization infrastructure.
Low level API: the Format trait and related. It includes simple and universal mechanisms for serializing any possible (e.g. implementing the Serde traits) value.
High level API: Representation trait and related. It allows declaring representation types that can serialize and deserialize only certain types (for example, InterpreterDataRepr can serialize only the InterpreterData, but deserialize InterpreterData and Versions` types), producing newtype values as serialization results.
The serialized representation of CallResults now contains byte arrays, not strings, because the new infrastructure serializes to byte arrays only.
Also, the basic support for multicodecs is added.
* fix(avm-server): make avm_server::RunnerError a public type
* Make RunnerResult public too
* Remove stale submodule dir
* gitkeep `benches/performance_metering`
* feat(avm-server)!: keypair and particle ID arguments
Add `&fluence_keypair::KeyPair` argument to `AVM::call` and
`AVMRunner::call`. This value is further forwarded in a deconstructed
form to WASM Air interpreter, but is not used there yet. Also,
`AVMRunner::call` gets `particle_id: String` argument.
feat(air-interpreter)!: `invoke` methods have three new arguments:
`key_format: u8`, `secret_key_bytes: Vec<u8>` and `paritcle_id: String`.
feat(aquavm-air): `air::execute_air` has two three arguments:
`key_format: u8`, `secret_key_bytes: Vec<u8>` and `paritcle_id: String`.
feat(aquavm-air-cli)!: add `--random-key`/`--ed25519-key file` options to AIR CLI.
* feat(avm-server)!: Add `RunnerError::KeypairError`
* chore(bench): Add signature performance benchmarks
These benchmarks contain valid signature, so they should work with
verification out of the box.
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Co-authored-by: Artsiom Shamsutdzinau <shamsartem@gmail.com>
Co-authored-by: folex <0xdxdy@gmail.com>
The current peer ID is passed as a new field of `TestRunParameters` named
`current_peer_id: String`, instead of creating an AVM with peer ID.
This is a breaking API change of `avm-interface` and `avm-server`.
* Refactor `avm-server` interface mod to new crate (#294)
The new crate name is `avm-interface`.
It allows to build fully native air-trace, including pure WASM build.
* Make fully native air-trace build
Unless `wasm` feature is enabled (default), fully native build is
produced. You may build WASM air-trace binary with
`cargo build --target wasm32-wasi --no-default-features --release -p air-trace`
* Fix tracing output on native air-trace build
Wrong option was used.
`air-trace run` subcommand allows to run AquaVM on any data, it allows to define most AquaVM inputs, providing defaults for most of them, and sets up either human-readable or JSON tracing output, the latter can be later processed by `air-trace stats`.
Anomaly data input is also supported, that is useful for slow data investigation.
Native execution mode can be used for native profiling. Please note, however, that current version cannot be built natively on Apple Sillicon processor yet, as invariably depends on the `avm-server` because of leaking types that should be refactored or hidden. The `--repeat` option can repeat the execution several times for the execution to dominate on input data reading and output.
High-level or rare calls have "info" trace level, instructions are "debug", and sub-instruction calls are "tracing". Over-detailed tracing can induce overhead that spoils timing data.
This PR adds two new methods in DataStore to determine anomaly and collect necessary data. Additionally
- a generic parameter of DataStore turned to be associative
- AVMOutcome contains additionally memory_delta and execution_time
As `wasm32-wasi` target doesn't seem to support sanitizers, we are to
execute tests with native code. The feature `test_with_native_code` is
introduced for that.
Closes#247.
Use pooled `avm::server::AVMRunner` instances of
air_iterpreter_server.wasm to reduce tests' running time. It avoids
repeated WASM loading and compilation.
On my hardware, `cargo test --release` execution time (precompiled)
decreases from almost 6 minutes to 1.5 minutes.
