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  • Unfuzzed Local Variables in Test Functions

    Overview

    What are Unfuzzed Local Variables?

    In the context of property-based testing or fuzzing, unfuzzed local variables are those declared within a test function but not initialized with random or fuzzed input. This can lead to incomplete test coverage and potentially missed edge cases.

    Why are Unfuzzed Local Variables Problematic?

    Unfuzzed local variables in test functions can lead to several issues:

    Technical Example of Unfuzzed Local Variables

    
    pragma solidity ^0.8.0;
    import "./test.sol";
    
    contract TokenTest is Test {
        Token token;
    
        function setUp() public {
            token = new Token();
        }
    
        function testTransfer(address to, uint256 amount) public {
            uint256 initialBalance = 1000; // Unfuzzed local variable
            token.mint(address(this), initialBalance);
            token.transfer(to, amount);
            assertEq(token.balanceOf(to), amount);
        }
    }
    
    

    In this example, `initialBalance` is a local variable that is not fuzzed. This means the test will always start with the same balance, potentially missing issues that could arise with different initial balances.

    Technical Example of Properly Fuzzed Variables

    
    pragma solidity ^0.8.0;
    import "./test.sol";
    
    contract TokenTest is Test {
        Token token;
    
        function setUp() public {
            token = new Token();
        }
    
        function testTransfer(address to, uint256 amount, uint256 initialBalance) public {
            vm.assume(initialBalance >= amount); // Ensure valid test conditions
            token.mint(address(this), initialBalance);
            token.transfer(to, amount);
            assertEq(token.balanceOf(to), amount);
            assertEq(token.balanceOf(address(this)), initialBalance - amount);
        }
    }
    
    

    In this improved version, `initialBalance` is now a parameter of the test function, allowing it to be fuzzed. This ensures that the test covers a wide range of initial balance scenarios, potentially uncovering edge cases or bugs that weren't visible with a fixed initial balance.