"""Create logic_validator
Generated by Phi-Octopus Eden
2025-11-06 06:25:58.301920
"""

```python
from typing import Any, Callable


class LogicValidator:
    """
    A class that validates logical expressions and ensures they are evaluated correctly.
    This validator is designed to handle simple boolean logic operations and provide feedback on any errors.

    Args:
        expression (str): The logical expression to be validated. For example: "a or b and not c".
        variables (dict[str, bool], optional): A dictionary mapping variable names to their truth values. Defaults to None.
    
    Methods:
        validate_expression(self) -> dict[str, Any]:
            Validates the provided logical expression and returns a dictionary of variable names and their respective errors.

        evaluate_expression(self) -> bool:
            Evaluates the validated logical expression using the given variables if any, and returns the result.
    """

    def __init__(self, expression: str, variables: dict[str, bool] = None):
        self.expression = expression
        self.variables = variables or {}

    def validate_expression(self) -> dict[str, Any]:
        """
        Validates the provided logical expression.

        Returns:
            A dictionary where keys are variable names and values are any errors encountered during validation.
        """
        from pyparsing import nestedExpr

        # Simple validation to check if the expression is a valid boolean logic string
        try:
            result = nestedExpr().parseString(self.expression)
            return {}
        except Exception as e:
            return {"error": str(e)}

    def evaluate_expression(self) -> bool:
        """
        Evaluates the validated logical expression.

        Returns:
            The result of the evaluated logical expression.
        """
        from sympy import symbols, parse_expr

        # Parse the variables and the expression using SymPy
        expr = parse_expr(self.expression.replace("and", "*").replace("or", "+").replace("not", "~"), evaluate=False)
        for var_name in self.variables:
            expr[var_name] = self.variables[var_name]
        
        return bool(expr)


# Example Usage

validator = LogicValidator("a and (b or not c)")
print(validator.validate_expression())  # Should print an empty dict if no errors
print(validator.evaluate_expression())  # Should output True given a=True, b=True, c=False

# With variables specified
variables = {"a": True, "b": True, "c": False}
validator = LogicValidator("a and (b or not c)", variables)
print(validator.validate_expression())  # Should print an empty dict if no errors
print(validator.evaluate_expression())  # Should output True given the provided variable values
```
```python
# Example with invalid expression
invalid_validator = LogicValidator("a or b and")
print(invalid_validator.validate_expression())  # Should indicate a syntax error

# Handling complex expressions
complex_validator = LogicValidator("(a and (b or c)) and not d", {"a": True, "b": False, "c": True, "d": False})
print(complex_validator.validate_expression())  # Should pass
print(complex_validator.evaluate_expression())  # Should output False based on the provided variables
```

This example usage demonstrates how to use the `LogicValidator` class for both simple and complex logical expressions. It also shows error handling when an invalid expression is provided.