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feat: can run tests independently
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@ -5,7 +5,7 @@ from matrix_generator import MatrixGenerator
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from richardson_method import RichardsonMethod
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@pytest.mark.parametrize("n", [2, 3, 4, 5, 10, 20, 50, 100])
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def test_richardson_vs_cg(n):
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def test_richardson_vs_cg(n: int):
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tolerance = 1e-5
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A, b = MatrixGenerator.generate_random_matrix_and_vector(n)
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@ -28,7 +28,11 @@ def assert_scipy_converged(solution_richardson, solution_cg, tolerance, A, b):
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else:
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difference = np.linalg.norm(solution_richardson - solution_cg)
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print(f"Difference between Richardson and CG solutions: {difference:.8f}")
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if difference >= tolerance:
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if difference < tolerance:
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print("Both Richardson and CG converged and calculated correct values.")
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print("Solution CG:\n", solution_cg)
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print("Solution Richardson:\n", solution_richardson)
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else:
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print("Matrix A:\n", A)
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print("Vector b:\n", b)
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assert difference < tolerance, f"The solutions are different! Difference: {difference:.8f}"
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@ -41,3 +45,8 @@ def assert_scipy_not_converged(solution_richardson, A, b):
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print("Matrix A:\n", A)
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print("Vector b:\n", b)
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assert False, "Richardson converged while SciPy did not"
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if __name__ == "__main__":
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# Run pytest and exit with the appropriate status code
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for n in [2, 3, 4, 5, 10, 20, 50, 100]:
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test_richardson_vs_cg(n)
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