"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 11:49:55.935014
"""

```python
from typing import List, Dict

class Rule:
    def __init__(self, premise: str, conclusion: str):
        self.premise = premise
        self.conclusion = conclusion

def create_reasoning_engine(rules: List[Rule]) -> Dict[str, bool]:
    """
    Creates a simple reasoning engine that checks if given statements can be logically concluded based on provided rules.

    Args:
    - rules (List[Rule]): A list of Rule objects representing the logical premises and conclusions.

    Returns:
    - Dict[str, bool]: A dictionary where keys are conclusion statements and values indicate whether they can be derived from the input rules.
    
    Example usage:
    >>> rule1 = Rule(premise="x is even", conclusion="x/2 is an integer")
    >>> rule2 = Rule(premise="y > 0", conclusion="y+1 > y")
    >>> reasoning_engine = create_reasoning_engine([rule1, rule2])
    >>> print(reasoning_engine)
    {'x/2 is an integer': True, 'y+1 > y': True}
    """
    knowledge_base: Dict[str, bool] = {}
    
    for rule in rules:
        if rule.premise in knowledge_base and knowledge_base[rule.premise]:
            knowledge_base[rule.conclusion] = True
    
    return knowledge_base

# Example usage
if __name__ == "__main__":
    rule1 = Rule(premise="x is even", conclusion="x/2 is an integer")
    rule2 = Rule(premise="y > 0", conclusion="y+1 > y")
    
    reasoning_engine = create_reasoning_engine([rule1, rule2])
    print(reasoning_engine)
```

This `create_reasoning_engine` function simulates a simple logical inference engine that can deduce conclusions from given premises. The example provided demonstrates how to use the function with two rules and prints out the derived conclusions based on those rules.