Analyze Python code for correctness using symbolic execution and SMT solving to automatically find counterexamples for functions with type annotations and contracts.
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{
"context": "This criteria evaluates how well the engineer uses the crosshair-tool package to implement behavioral difference detection between two Python functions. The focus is on correctly utilizing CrossHair's diff_behavior functionality and related APIs for symbolic execution-based comparison.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Import diff_behavior",
"description": "Imports the diff_behavior function from crosshair.diff_behavior module to access the behavioral comparison functionality",
"max_score": 15
},
{
"name": "Call diff_behavior",
"description": "Invokes the diff_behavior() function to compare two functions symbolically, passing both function references as arguments (fn1 and fn2 parameters)",
"max_score": 30
},
{
"name": "Iterate over results",
"description": "Iterates over the generator returned by diff_behavior() to retrieve BehaviorDiff instances representing discovered differences",
"max_score": 20
},
{
"name": "Extract input arguments",
"description": "Accesses the .args property of BehaviorDiff objects to extract the input arguments that caused the behavioral difference",
"max_score": 20
},
{
"name": "Configure analysis options",
"description": "Passes AnalysisOptions to the options parameter of diff_behavior() to control timeout settings like per_path_timeout or per_condition_timeout",
"max_score": 15
}
]
}Install with Tessl CLI
npx tessl i tessl/pypi-crosshair-toolevals
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