"""Create logic_validator
Generated by Phi-Octopus Eden
2025-11-07 02:29:54.690899
"""

```python
def create_logic_validator(logic_rule: str) -> callable:
    """
    Creates a logic validator based on a given rule.
    
    Args:
        logic_rule (str): A string representing the logical rule to be validated,
                          e.g., "A and B or not C".
        
    Returns:
        callable: A function that takes variable number of arguments corresponding
                  to the variables in the logic_rule and returns True if the rule is satisfied, False otherwise.
    
    Example usage:
    >>> validator = create_logic_validator("x > 5 and y < 10")
    >>> validator(x=6, y=9)
    True
    >>> validator(x=3, y=8)
    False
    """
    import ast

    class LogicVisitor(ast.NodeVisitor):
        def visit_Module(self, node: ast.Module) -> bool:
            self.visit(node.body[0])

        def visit_BoolOp(self, node: ast.BoolOp) -> bool:
            values = [self.visit(value) for value in node.values]
            if isinstance(node.op, ast.And):
                return all(values)
            elif isinstance(node.op, ast.Or):
                return any(values)

        def visit_UnaryOp(self, node: ast.UnaryOp) -> bool:
            operand = self.visit(node.operand)
            if isinstance(node.op, ast.Not):
                return not operand
            else:
                raise ValueError("Unsupported unary operation")

        def visit_Name(self, node: ast.Name) -> bool:
            try:
                value = locals()[node.id]
            except KeyError:
                raise NameError(f"Undefined variable {node.id}")
            return value

        def visit_NameConstant(self, node: ast.NameConstant) -> bool:
            return node.value

    parsed_rule = ast.parse(logic_rule, mode='eval')
    
    def logic_validator(**kwargs):
        visitor = LogicVisitor()
        for key in kwargs.keys():
            exec(f"{key} = {kwargs[key]}")
        result = visitor.visit(parsed_rule.body)
        return result
    
    return logic_validator


# Example usage
validator = create_logic_validator("x > 5 and y < 10")
print(validator(x=6, y=9))  # True
print(validator(x=3, y=8))  # False
```