"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 07:35:41.691381
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine that can evaluate logical conditions based on input facts.
    """

    def __init__(self):
        self.knowledge_base: Dict[str, bool] = {}

    def add_fact(self, fact: str, value: bool) -> None:
        """
        Adds a fact to the knowledge base.

        :param fact: The name of the fact.
        :param value: The boolean value of the fact.
        """
        self.knowledge_base[fact] = value

    def evaluate_condition(self, condition: str) -> bool:
        """
        Evaluates a logical condition based on facts in the knowledge base.

        :param condition: A string representing a logical condition, e.g., "fact1 and not fact2".
        :return: The boolean result of evaluating the condition.
        """
        # Simplified parsing for demonstration purposes
        tokens = condition.split()
        if 'and' in tokens:
            index = tokens.index('and')
            return self.knowledge_base[tokens[index-1]] and self.knowledge_base[tokens[index+1]]
        elif 'or' in tokens:
            index = tokens.index('or')
            return self.knowledge_base[tokens[index-1]] or self.knowledge_base[tokens[index+1]]
        elif 'not' in tokens:
            index = tokens.index('not')
            return not self.knowledge_base[tokens[index+1]]
        else:
            raise ValueError("Invalid condition format")

    def solve_problem(self, facts: Dict[str, bool], conditions: List[str]) -> bool:
        """
        Solves a problem by evaluating multiple logical conditions.

        :param facts: A dictionary of facts to be added to the knowledge base.
        :param conditions: A list of logical conditions to evaluate.
        :return: True if all conditions are satisfied, False otherwise.
        """
        self.knowledge_base.update(facts)
        for condition in conditions:
            result = self.evaluate_condition(condition)
            if not result:
                return False
        return True


# Example usage
if __name__ == "__main__":
    reasoning_engine = ReasoningEngine()
    
    # Add facts to the knowledge base
    reasoning_engine.add_fact('rainy', True)
    reasoning_engine.add_fact('cold', False)

    # Define conditions to evaluate
    conditions = [
        "rainy and not cold",
        "not rainy or cold"
    ]

    # Solve the problem based on given conditions
    result = reasoning_engine.solve_problem({}, conditions)
    print(f"All conditions satisfied: {result}")
```

This example demonstrates a simple reasoning engine that can add facts, evaluate logical conditions, and solve problems based on those conditions. The `solve_problem` method takes a dictionary of initial facts and a list of conditions to be evaluated against these facts.