Meaningful Code Tests for Busy Devs

def gaussian_elimination(
    coefficients: NDArray[float64], vector: NDArray[float64]) -> NDArray[float64]:
    
    if (check_valid_input(coefficients, vector) == False):
        return np.array((), dtype=float)

    rows, columns = np.shape(coefficients)

    # augmented matrix
    augmented_mat = create_augmented_matrix(coefficients, vector)

    # scale the matrix leaving it triangular
    augmented_mat = scale_matrix(augmented_mat, rows)

    x = retroactive_resolution_full_augmented_mat(augmented_mat, columns)
    return x
						

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