Crate arbiter_core

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arbiter-core is designed to facilitate agent-based simulations of Ethereum smart contracts in a local environment.

With a primary emphasis on ease of use and performance, it employs the revm (Rust EVM) to provide a local execution environment that closely simulates the Ethereum blockchain but without associated overheads like networking latency.

Key Features:

• Environment Handling: Detailed setup and control mechanisms for running the Ethereum-like blockchain environment.
• Middleware Implementation: Customized middleware to reduce overhead and provide optimal performance.

For a detailed guide on getting started, check out the Arbiter Github page.

For specific module-level information and examples, navigate to the respective module documentation below.

Modules

• console
  This module contains the backend for the console2.log Solidity function so that these logs can be read in Arbiter.
• coprocessor
  The Coprocessor is used to process calls and can access read-only from the Environment’s database while staying up to date with the latest state of the Environment’s database.
• database
  The ArbiterDB is a wrapper around a CacheDB that is used to provide access to the Environment’s database to multiple Coprocessors. It is also used to be able to write out the Environment database to a file.
• environment
  The environment module provides abstractions and functionality for handling the Ethereum execution environment. This includes managing its state, interfacing with the EVM, and broadcasting events to subscribers. Other features include the ability to control block rate and gas settings and execute other database modifications from external agents.
• errors
  Errors that can occur when managing or interfacing with Arbiter’s sandboxed Ethereum environment.
• events
  The data_collection module provides the EventLogger struct for logging events from the Ethereum network.
• middleware
  The middleware module provides functionality to interact with Ethereum-like virtual machines. It achieves this by offering a middleware implementation for sending and reading transactions, as well as watching for events.