How to use the sciunit.scores.FloatScore function in sciunit

def test_regular_score_types_2(self):
        BooleanScore(True)
        BooleanScore(False)
        score = BooleanScore.compute(5, 5)
        self.assertEqual(score.norm_score, 1)
        score = BooleanScore.compute(4, 5)
        self.assertEqual(score.norm_score, 0)

        t = RangeTest([2, 3])
        score.test = t
        score.describe()
        score.description = "Lorem Ipsum"
        score.describe()

        score = FloatScore(3.14)
        obs = np.array([1.0, 2.0, 3.0])
        pred = np.array([1.0, 2.0, 4.0])
        score = FloatScore.compute_ssd(obs, pred)
        self.assertEqual(score.score, 1.0)

        RatioScore(1.2)
        score = RatioScore.compute({'mean': 4., 'std': 1.}, {'value': 2.})
        self.assertEqual(score.score, 0.5)

BooleanScore(False)
        score = BooleanScore.compute(5,5)
        self.assertEqual(score.sort_key,1)
        score = BooleanScore.compute(4,5)
        self.assertEqual(score.sort_key,0)
        
        t = RangeTest([2,3])
        score.test = t
        score.describe()
        score.description = "Lorem Ipsum"
        score.describe()

        score = FloatScore(3.14)
        obs = np.array([1.0,2.0,3.0])
        pred = np.array([1.0,2.0,4.0])
        score = FloatScore.compute_ssd(obs,pred)
        self.assertEqual(score.score,1.0)
        
        RatioScore(1.2)
        score = RatioScore.compute({'mean':4.,'std':1.},{'value':2.})
        self.assertEqual(score.score,0.5)

        score = PercentScore(42)
        self.assertEqual(score.sort_key,0.42)

        ZScore(0.7)
        score = ZScore.compute({'mean':3.,'std':1.},{'value':2.})
        self.assertEqual(score.score,-1.)

        CohenDScore(-0.3)
        score = CohenDScore.compute({'mean':3.,'std':1.},{'mean':2.,'std':1.})
        self.assertTrue(-0.708 < score.score < -0.707)

from sciunit.tests import RangeTest
        
        BooleanScore(True)
        BooleanScore(False)
        score = BooleanScore.compute(5,5)
        self.assertEqual(score.sort_key,1)
        score = BooleanScore.compute(4,5)
        self.assertEqual(score.sort_key,0)
        
        t = RangeTest([2,3])
        score.test = t
        score.describe()
        score.description = "Lorem Ipsum"
        score.describe()

        score = FloatScore(3.14)
        obs = np.array([1.0,2.0,3.0])
        pred = np.array([1.0,2.0,4.0])
        score = FloatScore.compute_ssd(obs,pred)
        self.assertEqual(score.score,1.0)
        
        RatioScore(1.2)
        score = RatioScore.compute({'mean':4.,'std':1.},{'value':2.})
        self.assertEqual(score.score,0.5)

        score = PercentScore(42)
        self.assertEqual(score.sort_key,0.42)

        ZScore(0.7)
        score = ZScore.compute({'mean':3.,'std':1.},{'value':2.})
        self.assertEqual(score.score,-1.)

def compute_score(self, prediction1, prediction2):
                """Implementation of sciunit.Test.score_prediction."""
                score = sciunit.scores.FloatScore(prediction1 - prediction2)
                score.description = "Difference between model predictions"
                return score

def compute_score(self, prediction1, prediction2):
                """Implementation of sciunit.Test.score_prediction."""
                score = sciunit.scores.FloatScore(prediction1 - prediction2)
                score.description = "Difference between model predictions"
                return score

def compute_score(self, prediction1, prediction2):
                """Implementation of sciunit.Test.score_prediction."""
                score = FloatScore(prediction1 - prediction2)
                score.description = "Difference between model predictions"
                return score

BooleanScore(False)
        score = BooleanScore.compute(5, 5)
        self.assertEqual(score.norm_score, 1)
        score = BooleanScore.compute(4, 5)
        self.assertEqual(score.norm_score, 0)

        t = RangeTest([2, 3])
        score.test = t
        score.describe()
        score.description = "Lorem Ipsum"
        score.describe()

        score = FloatScore(3.14)
        obs = np.array([1.0, 2.0, 3.0])
        pred = np.array([1.0, 2.0, 4.0])
        score = FloatScore.compute_ssd(obs, pred)
        self.assertEqual(score.score, 1.0)

        RatioScore(1.2)
        score = RatioScore.compute({'mean': 4., 'std': 1.}, {'value': 2.})
        self.assertEqual(score.score, 0.5)