How to use the sciunit.utils.log function in sciunit

def test_log(self):
        from sciunit.utils import log
        
        log("Lorem Ipsum")

def test_log(self):
        from sciunit.utils import log

        log("Lorem Ipsum")

def judge_one(self, model, test, sm,
                  skip_incapable=True, stop_on_error=True, deep_error=False):
        """Judge model and put score in the ScoreMatrix."""
        if self.is_skipped(model):
            score = NoneScore(None)
        else:
            log('Executing test <i>%s</i> on model <i>%s</i>' % (test, model),
                end=u"... ")
            score = test.judge(model, skip_incapable=skip_incapable,
                               stop_on_error=stop_on_error,
                               deep_error=deep_error)
            log('Score is <a style="color: rgb(%d,%d,%d)">' % score.color()
                + '%s</a>' % score)
        sm.loc[model, test] = score
        return score

def judge_one(self, model, test, sm,
                  skip_incapable=True, stop_on_error=True, deep_error=False):
        """Judge model and put score in the ScoreMatrix."""
        if self.is_skipped(model):
            score = NoneScore(None)
        else:
            log('Executing test <i>%s</i> on model <i>%s</i>' % (test, model),
                end=u"... ")
            score = test.judge(model, skip_incapable=skip_incapable,
                               stop_on_error=stop_on_error,
                               deep_error=deep_error)
            log('Score is <a style="color: rgb(%d,%d,%d)">' % score.color()
                + '%s</a>' % score)
        sm.loc[model, test] = score
        return score

def describe(self, quiet=False):
        d = self._describe()
        if quiet:
            return d
        else:
            log(d)

def summarize(self):
        if self.score is not None:
            log("%s" % self.summary)