"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 13:39:03.992224
"""

```python
from typing import List, Dict, Any


class ReasoningEngine:
    """
    A simple reasoning engine that processes rules and inputs to generate conclusions.
    """

    def __init__(self, rules: List[Dict[str, Any]]):
        """
        Initialize the ReasoningEngine with a set of rules.

        :param rules: A list of dictionaries where each dictionary represents a rule in the form
                      {'condition': '...', 'conclusion': '...'}
        """
        self.rules = rules

    def apply_rules(self, inputs: Dict[str, Any]) -> List[str]:
        """
        Apply the defined rules to the given inputs and return a list of conclusions.

        :param inputs: A dictionary where keys are variable names used in conditions and values are their respective
                       input values.
        :return: A list of strings representing the conclusions drawn from applying the rules.
        """
        conclusions = []
        for rule in self.rules:
            condition, conclusion = rule['condition'], rule['conclusion']
            if all(inputs.get(var) == value for var, value in eval(condition).items()):
                conclusions.append(conclusion)
        return conclusions


# Example usage
if __name__ == "__main__":
    # Define some simple rules
    rules = [
        {'condition': "{'temperature' > 30 and 'humidity' < 60}", 'conclusion': 'High risk of heatstroke'},
        {'condition': "{'temperature' < 15 or 'wind_speed' > 20}", 'conclusion': 'Cold and windy conditions'},
        {'condition': "{'humidity' == 100}", 'conclusion': 'Severe moisture warning'}
    ]

    # Create an instance of ReasoningEngine with the rules
    engine = ReasoningEngine(rules)

    # Simulate some sensor inputs
    sensor_inputs = {
        'temperature': 32,
        'humidity': 58,
        'wind_speed': 10
    }

    # Apply the rules to the input data and print conclusions
    conclusions = engine.apply_rules(sensor_inputs)
    for conclusion in conclusions:
        print(f"Conclusion: {conclusion}")
```

This code defines a `ReasoningEngine` class that processes predefined rules against given inputs. The example usage demonstrates how to set up and use this capability with some simple rules related to environmental conditions.