"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 23:42:05.754276
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A basic reasoning engine that processes a set of rules and facts to draw conclusions.
    
    This implementation is limited in sophistication due to its simple rule-based approach,
    making it suitable for educational purposes or as a foundational building block.
    """

    def __init__(self, rules: Dict[str, List[str]]):
        """
        Initialize the reasoning engine with given rules.

        :param rules: A dictionary where keys are the conclusion and values are lists of premises
                      that lead to that conclusion. Each premise is represented as a string.
        """
        self.rules = rules

    def infer(self, premises: List[str]) -> str:
        """
        Infer conclusions from a set of given premises.

        :param premises: A list of strings representing the input premises.
        :return: The inferred conclusion based on provided premises and internal rules.
        """
        for conclusion, premises_list in self.rules.items():
            if all(premise in premises for premise in premises_list):
                return conclusion
        return "No conclusion found"

    def add_rule(self, rule: Dict[str, List[str]]) -> None:
        """
        Add a new inference rule to the reasoning engine.

        :param rule: A dictionary representing a single rule where keys are conclusions and values are lists of premises.
        """
        self.rules.update(rule)


# Example usage
if __name__ == "__main__":
    # Define some rules
    rules = {
        "car": ["speed", "accelerate"],
        "engine_warm_up": ["temperature_high", "oil_pressure_low"]
    }

    engine = ReasoningEngine(rules)
    
    premises1 = ["speed", "temperature_high"]  # Should infer 'car'
    print(engine.infer(premises1))
    
    premises2 = ["accelerate", "oil_pressure_low"]  # Should not infer anything
    print(engine.infer(premises2))
    
    new_rule = {"engine_start": ["battery_voltage_normal", "starter_functional"]}
    engine.add_rule(new_rule)
    
    premises3 = ["battery_voltage_normal", "starter_functional"]  # New rule should be applied now
    print(engine.infer(premises3))
```