"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 12:52:45.425421
"""

```python
class ReasoningEngine:
    """
    A simple reasoning engine designed to solve problems with limited reasoning sophistication.
    
    This class provides a basic framework for making decisions based on input conditions.

    Args:
        problem_space (dict): A dictionary containing the rules and conditions that define the problem space.

    Methods:
        __init__(self, problem_space: dict) -> None
        evaluate(self, inputs: dict) -> str | int | float:
            Evaluates the provided inputs against the defined problem space and returns a decision.
    """

    def __init__(self, problem_space: dict) -> None:
        """
        Initializes the ReasoningEngine with a specific problem space.

        Args:
            problem_space (dict): A dictionary containing key-value pairs of conditions and their corresponding decisions.
        """
        self.problem_space = problem_space

    def evaluate(self, inputs: dict) -> str | int | float:
        """
        Evaluates the provided inputs against the defined problem space and returns a decision.

        Args:
            inputs (dict): A dictionary containing the relevant data to make a decision on.

        Returns:
            A string, integer or float representing the decision made by the engine.
        """
        for condition, outcome in self.problem_space.items():
            if all(inputs.get(key) == value for key, value in condition.items()):
                return outcome
        raise KeyError("No matching conditions found")

# Example usage

# Define a problem space with specific rules and their outcomes
problem_space = {
    {"temperature": 90, "humidity": 50}: 120,
    {"temperature": 30, "humidity": 70}: -80,
    {"temperature": 60, "humidity": 60}: "neutral"
}

# Create an instance of ReasoningEngine
reasoner = ReasoningEngine(problem_space)

# Evaluate some inputs against the problem space
inputs_example_1 = {"temperature": 95, "humidity": 45}
result_example_1 = reasoner.evaluate(inputs_example_1)
print(f"Result for example 1: {result_example_1}")

inputs_example_2 = {"temperature": 35, "humidity": 65}
result_example_2 = reasoner.evaluate(inputs_example_2)
print(f"Result for example 2: {result_example_2}")
```