| """ | |
| The most atomic way to train and inference a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
| pragma solidity ^0.8.0; | |
| contract AtomicityGuard { | |
| // address => block => status | |
| uint256 private constant _ENTERED = 1; | |
| mapping(address => mapping( uint256 => uint256)) ledger; | |
| modifier nonAtomic() { |
Single Messages - Single messages have a single target address, target chainId, and data payload. The vast majority of cross-chain messages today are single messages.
Example:
function dispatchMessage(uint256 toChainId, address to, bytes calldata data) external payable returns (bytes32 messageId);
| ########### | |
| # Imports # | |
| ########### | |
| # the RPCs file should include RPC URLs and Etherscan API Keys for relevant networks | |
| # (in a separate file so they don't get committed) | |
| source "$(dirname "$0")/rpcs.sh" | |
| # any useful addresses for various networks for easy reference | |
| source "$(dirname "$0")/addresses.sh" | |
| # any useful functions and definitions for interacting with Seaport |