"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 03:09:52.808386
"""

```python
class ReasoningEngine:
    """
    A simple reasoning engine that solves problems based on a predefined set of rules.
    """

    def __init__(self):
        self.knowledge_base = {}

    def add_rule(self, rule_name: str, conditions: dict, conclusion: any) -> None:
        """
        Adds a new rule to the knowledge base.

        :param rule_name: A unique name for the rule
        :param conditions: A dictionary where keys are variable names and values are their expected types or specific values
        :param conclusion: The outcome of applying this rule when conditions are met
        """
        self.knowledge_base[rule_name] = (conditions, conclusion)

    def apply_rule(self, variables: dict) -> any:
        """
        Applies a rule from the knowledge base to given input variables.

        :param variables: A dictionary with variable names as keys and their values
        :return: The outcome of the applicable rule or None if no rules match
        """
        for rule_name, (conditions, conclusion) in self.knowledge_base.items():
            if all(conditions.get(var_name) == var_value or conditions.get(var_name) is type(var_value)
                   for var_name, var_value in variables.items()):
                return conclusion

    def solve_problem(self, problem: dict) -> any:
        """
        Solves a problem by applying the most suitable rule based on given input.

        :param problem: A dictionary representing input variables of the problem
        :return: The solution to the problem or None if no applicable rules exist
        """
        return self.apply_rule(problem)

# Example usage

reasoning_engine = ReasoningEngine()
reasoning_engine.add_rule(
    rule_name="Rule1",
    conditions={"temperature": "float", "humidity": "float"},
    conclusion="It will rain."
)

result = reasoning_engine.solve_problem({"temperature": 25.0, "humidity": 80})
print(result)  # Expected output: It will r