| import unittest | |
| import numpy as np | |
| import sympy as sp | |
| import os | |
| import sys | |
| # Add path for Expression class | |
| sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../classes'))) | |
| from expression import Expression | |
| from dataset import RegressionDataset | |
| import pickle | |
| class TestExpression(unittest.TestCase): | |
| def setUp(self): | |
| # Generate synthetic dataset | |
| reg = RegressionDataset('./data/evaluate/srsd-feynman_easy/train', 'feynman-i.12.1.txt', delimiter=' ') | |
| self.X, self.y = reg.get_numpy() | |
| def test_complex_expression(self): | |
| # Define the complex expression | |
| goal_expression = "C*(x_1 * x_2 + C)" | |
| try: | |
| expr_goal = Expression(goal_expression) | |
| r2 = expr_goal.fit_constants(self.X, self.y) | |
| resolved_expr = expr_goal.resolved_expression() | |
| best_constants = expr_goal.best_constants | |
| # Assert R^2 is reasonable (close to 1 for a good fit) | |
| self.assertGreater(r2, 0.9, f"R^2 is too low: {r2}") | |
| # Print results for debugging | |
| print(f"Fitted Constants: {best_constants}") | |
| print(f"Resolved Expression (SymPy): {resolved_expr}") | |
| print(f"R^2: {r2:.4f}") | |
| except Exception as e: | |
| self.fail(f"Error processing goal expression '{goal_expression}': {e}") | |
| if __name__ == "__main__": | |
| unittest.main() |