"""
Concolic Execution Engine - Hybrid Concrete and Symbolic Execution.

[FUTURE_FEATURE] v3.3.0 - Concolic execution for better path coverage

Concolic (CONCrete + symbOLIC) execution combines:
- Concrete execution: Run code with actual values
- Symbolic execution: Track constraints on paths taken

Benefits:
- Faster than pure symbolic (no path explosion for simple code)
- More coverage than pure concrete (explores alternative paths)
- Handles complex operations (hash functions, crypto) via concrete values

Example:
    >>> from code_scalpel.symbolic_execution_tools import ConcolicEngine
    >>> engine = ConcolicEngine()
    >>> result = engine.execute(code, initial_inputs={"x": 5})
    >>> # Explores paths using concrete values as guidance
"""

from dataclasses import dataclass
from typing import Any


@dataclass
class ConcolicResult:
    """Result from concolic execution."""

    paths_explored: int
    coverage_percentage: float
    generated_inputs: list[dict[str, Any]]
    vulnerabilities_found: list[Any]


class ConcolicEngine:
    """
    Concolic execution engine (stub).

    """

    def __init__(self):
        pass

    def execute(self, code: str, initial_inputs: dict[str, Any], max_iterations: int = 100) -> ConcolicResult:
        """
        Execute code concolically.

        1. Run concretely with current inputs
        2. Collect path constraints
        3. Negate constraints to explore new paths
        4. Generate new inputs from negated constraints
        5. Repeat until max_iterations or full coverage
        """
        raise NotImplementedError("Concolic execution not yet implemented")
