def test_ddpt_insert_valid_dmg_state(self):
for ds in self.DMG_STATES:
dd = models.DmgDistPerTaxonomyData(
dmg_dist_per_taxonomy=self.ddpt,
taxonomy=helpers.random_string(), dmg_state=ds, mean=0.0,
stddev=0.0)
dd.save()
def test_ddpt_update_invalid_dmg_state(self):
dd = models.DmgDistPerTaxonomyData(
dmg_dist_per_taxonomy=self.ddpt,
taxonomy=helpers.random_string(), dmg_state='extensive', mean=0.0,
stddev=0.0)
dd.save()
self._test_insert_update_invalid(dd, 'dmg_dist_per_taxonomy_data')
def test_ddpt_update_valid_dmg_state(self):
dd = models.DmgDistPerTaxonomyData(
dmg_dist_per_taxonomy=self.ddpt,
taxonomy=helpers.random_string(), dmg_state='extensive', mean=0.0,
stddev=0.0)
dd.save()
dd.dmg_state = 'complete'
dd.save()
def make_data(self, taxonomy, dmg_state, mean, stddev):
data = models.DmgDistPerTaxonomyData(
dmg_dist_per_taxonomy=self.ddt,
taxonomy=taxonomy,
dmg_state=dmg_state,
mean=mean,
stddev=stddev)
data.save()
self.data.append(data)