tessl/pypi-crosshair-tool
Analyze Python code for correctness using symbolic execution and SMT solving to automatically find counterexamples for functions with type annotations and contracts.
86
Evaluation results
100%
Generic Type Utilities
Dynamic typing support with TypeVar binding
TypeVar declaration
100%
100%
Generic tuple typing
100%
100%
PEP316 preconditions
100%
100%
PEP316 postconditions
100%
100%
Bounded TypeVar usage
100%
100%
Generic List typing
100%
100%
Contract verification
100%
100%
92%
2%Symbolic Value Generator
Symbolic type system with proxy creation for Python types
Uses proxy_for_type
100%
83%
Correct type handling
80%
100%
Uses realize function
75%
85%
Proper error handling
100%
100%
Symbolic value integration
100%
100%
100%
76%Bank Account Manager
Contract checking and verification with multiple syntax support
Preconditions for inputs
20%
100%
Postconditions for state
20%
100%
Class invariants
20%
100%
Old value tracking
53%
100%
Contract syntax variety
13%
100%
100%
User Account Manager
Runtime contract enforcement with decorators
Contract decorator usage
100%
100%
Runtime enforcement
100%
100%
Precondition validation
100%
100%
Postcondition validation
100%
100%
Exception handling
100%
100%
100%
100%Function Behavior Comparator
Behavioral difference detection (diffbehavior) between implementations
Import diff_behavior
0%
100%
Call diff_behavior
0%
100%
Iterate over results
0%
100%
Extract input arguments
0%
100%
Configure analysis options
0%
100%
30%
Contract Monitoring Service
File watching and continuous analysis
Uses watch command
0%
0%
Integrates contract checking
0%
0%
Handles watch results
0%
0%
Implements graceful shutdown
100%
100%
Structured output format
100%
100%
73%
-5%Custom Type Plugin for Contract Verification
Plugin system for custom types and contracts
register_type usage
100%
100%
Symbolic value creator
40%
25%
Constraint application
33%
20%
register_contract usage
100%
100%
Precondition specification
100%
100%
Postcondition specification
100%
100%
63%
-7%Configuration Validator
Search and optimization for constraint solving
Symbolic value creation
80%
40%
Constraint implementation
100%
100%
Search command usage
40%
12%
Optimization strategy
60%
100%
Integration completeness
80%
100%
100%
Date Range Validator
Symbolic standard library implementations (64+ modules)
PEP316 Contract Syntax
100%
100%
Datetime Type Usage
100%
100%
Precondition Implementation
100%
100%
Postcondition Implementation
100%
100%
Date Arithmetic Operations
100%
100%
100%
Test Suite Generator
Test generation (cover) with automatic pytest output
Uses crosshair cover
100%
100%
Pytest format output
100%
100%
Writes output file
100%
100%
Handles module path
100%
100%
Returns success status
100%
100%
Install with Tessl CLI
npx tessl i tessl/pypi-crosshair-tool- Evaluated
- Agent
- Claude Code