class TestValidate(unittest.TestCase):
def setUp(self):
self.meta = ChoiceArrayMeta("test description", ["a", "b"])
def test_validate_none(self):
self.assertIsNone(self.meta.validate(None))
def test_validate(self):
response = self.meta.validate(["b", "a"])
self.assertEqual(["b", "a"], response)
def test_not_iterable_raises(self):
value = "abb"
self.assertRaises(ValueError, self.meta.validate, value)
def test_null_element_raises(self):
array = ["b", None]
self.assertRaises(ValueError, self.meta.validate, array)
def test_invalid_choice_raises(self):
with self.assertRaises(ValueError):
self.meta.validate(["a", "x"])
class TestValidate(unittest.TestCase):
def setUp(self):
self.meta = ChoiceArrayMeta("test description", ["a", "b"])
def test_validate_none(self):
self.assertEquals(self.meta.validate(None), [])
def test_validate(self):
response = self.meta.validate(["b", "a"])
self.assertEqual(["b", "a"], response)
def test_not_iterable_raises(self):
value = "abb"
self.assertRaises(ValueError, self.meta.validate, value)
def test_null_element_raises(self):
array = ["b", None]
self.assertRaises(ValueError, self.meta.validate, array)
def test_invalid_choice_raises(self):
with self.assertRaises(ValueError):
self.meta.validate(["a", "x"])
def setUp(self):
self.meta = ChoiceArrayMeta("test description", ["a", "b"])
def test_init(self):
self.meta = ChoiceArrayMeta("test description", ["a", "b"])
self.assertEqual("test description", self.meta.description)
self.assertEqual(self.meta.label, "")
self.assertEqual(self.meta.typeid, "malcolm:core/ChoiceArrayMeta:1.0")
self.assertEqual(self.meta.choices, ["a", "b"])
from malcolm.compat import OrderedDict
from malcolm.core import Part, Table, Info
from malcolm.core.vmetas import StringArrayMeta, ChoiceArrayMeta, TableMeta, \
NumberArrayMeta
from malcolm.controllers.runnablecontroller import RunnableController
# Make a table for the dataset info we produce
dataset_types = [
"primary", "secondary", "monitor", "position_set", "position_value"]
columns = OrderedDict()
columns["name"] = StringArrayMeta("Dataset name")
columns["filename"] = StringArrayMeta(
"Filename of HDF file relative to fileDir")
columns["type"] = ChoiceArrayMeta("Type of dataset", dataset_types)
columns["rank"] = NumberArrayMeta("int32", "Rank (number of dimensions)")
columns["path"] = StringArrayMeta("Dataset path within HDF file")
columns["uniqueid"] = StringArrayMeta("UniqueID array path within HDF file")
dataset_table_meta = TableMeta("Datsets produced in HDF file", columns=columns)
# Produced by plugins in part_info
class DatasetProducedInfo(Info):
def __init__(self, name, filename, type, rank, path, uniqueid):
self.name = name
self.filename = filename
assert type in dataset_types, \
"Dataset type %s not in %s" % (type, dataset_types)
self.type = type
self.rank = rank
self.path = path
self.uniqueid = uniqueid
def setUp(self):
self.meta = ChoiceArrayMeta("test description", ["a", "b"])
