"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 15:16:37.976211
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A basic reasoning engine that evaluates if a condition can be met given certain constraints.
    
    The engine uses a set of rules to determine whether it is possible to satisfy a particular requirement based on provided conditions.
    """

    def __init__(self):
        self.constraints: List[Dict[str, str]] = []

    def add_constraint(self, constraint: Dict[str, str]) -> None:
        """
        Adds a new constraint to the reasoning engine.

        :param constraint: A dictionary where keys are variable names and values are conditions.
                           Example: {"x": ">", "value": 10} means x should be greater than 10.
        """
        self.constraints.append(constraint)

    def can_meet_requirements(self, variables: Dict[str, int]) -> bool:
        """
        Evaluates if the given set of variable values meet all constraints.

        :param variables: A dictionary where keys are variable names and values are their current states.
                          Example: {"x": 15, "y": 20}
        :return: True if all constraints can be met; otherwise False.
        """
        for constraint in self.constraints:
            var_name = list(constraint.keys())[0]
            condition = constraint[var_name]
            value = variables.get(var_name)
            if not eval(f'value {condition} 10'):
                return False
        return True


# Example Usage
if __name__ == "__main__":
    engine = ReasoningEngine()
    # Add constraints
    engine.add_constraint({"x": ">=", "value": 15})
    engine.add_constraint({"y": "<", "value": 20})

    # Check if the conditions can be met with given variables
    result = engine.can_meet_requirements(variables={"x": 20, "y": 18})
    print(result)  # Output should be True

    result = engine.can_meet_requirements(variables={"x": 14, "y": 19})
    print(result)  # Output should be Fal