def prepare(self):
# STEP 1: Reconstruct database and workload based on the given design
d = Denormalizer(self.metadata_db, self.dataset_db, self.design)
d.process()
# STEP 2: Put indexs on the dataset_db based on the given design
self.setIndexes(self.dataset_db, self.design)
def prepare(self):
# STEP 1: Reconstruct database and workload based on the given design
d = Denormalizer(self.metadata_db, self.dataset_db, self.design)
d.process()
# STEP 2: Put indexs on the dataset_db based on the given design
self.setIndexes(self.dataset_db, self.design)
def set_positions(self, angles):
denormalizer = Denormalizer(RANGES)
denormalized = denormalizer.denormalize(angles)
for idx, angle in enumerate(denormalized):
time.sleep(0.1)
print(angle)
angle = int(angle)
print(idx+1, angle)
servo = idx + 1
self.move(servo, angle)
time.sleep(0.1)
def testDenormalizer(self):
d = Design()
for col_name in self.col_names:
d.addCollection(col_name)
## FOR
op_list = self.printOperations()
col_list = self.printAllCollections()
d.setDenormalizationParent("koalas", "apples")
dn = Denormalizer(self.metadata_db, self.dataset_db, d)
dn.process()
new_op_list = self.printOperations()
new_col_list = self.printAllCollections()
self.assertTrue("koalas" not in new_op_list)
self.assertTrue("koalas" not in new_col_list)
def testDenormalizer(self):
d = Design()
for col_name in self.col_names:
d.addCollection(col_name)
## FOR
op_list = self.printOperations()
col_list = self.printAllCollections()
d.setDenormalizationParent("koalas", "apples")
dn = Denormalizer(self.metadata_db, self.dataset_db, d)
dn.process()
new_op_list = self.printOperations()
new_col_list = self.printAllCollections()
self.assertTrue("koalas" not in new_op_list)
self.assertTrue("koalas" not in new_col_list)
