def make_mock_table():
cols = {"column0": [DOUBLE], "column1": [DOUBLE], "column2": [DOUBLE]}
colstruct = OrderedDict(sorted(cols.items(), key=lambda t: t[0]))
struct = OrderedDict([("labels", [STRING]), ("value", colstruct)])
pvobj = PvObject(struct)
pvobj.setScalarArray("labels", ["x", "y", "z"])
return pvobj
def test_ScalarArray(self):
value = TestUtility.getRandomInt()
size = TestUtility.getRandomListSize()
valueList = [value] * size
pv = PvObject({'vl': [INT]}, {'vl': valueList})
vl = pv['vl']
assert (len(vl) == len(valueList))
assert (vl[0] == valueList[0])
assert (vl[-1] == valueList[-1])
value = TestUtility.getRandomInt()
size = TestUtility.getRandomListSize()
valueList = [value] * size
pv['vl'] = valueList
vl = pv['vl']
assert (len(vl) == len(valueList))
assert (vl[0] == valueList[0])
assert (vl[-1] == valueList[-1])
value = TestUtility.getRandomInt()
size = TestUtility.getRandomListSize()
valueList = [value] * size
pv.setScalarArray(valueList)
vl = pv.getScalarArray()
assert (len(vl) == len(valueList))
assert (vl[0] == valueList[0])
assert (vl[-1] == valueList[-1])
from pvaccess import PvObject, STRING, DOUBLE, NtTable
import pvaccess
pvObject = PvObject({
'labels': [STRING],
'value': {
'column0': [DOUBLE],
'column1': [DOUBLE],
'column2': [DOUBLE]
}
})
pvObject.setScalarArray('labels', ['x', 'y', 'z'])
pvObject.setStructure(
'value', {
'column0': [0.1, 0.2, 0.3],
'column1': [1.1, 1.2, 1.3],
'column2': [2.1, 2.2, 2.3]
})
table3 = NtTable(pvObject)
print table3
rpc = pvaccess.RpcClient('table')
request = table3
rpc.invoke(request)
from pvaccess import PvObject, STRING, DOUBLE, NtTable
import pvaccess
pvObject = PvObject({'labels' : [STRING], 'value' : {'column0' : [DOUBLE], 'column1' : [DOUBLE], 'column2' : [DOUBLE]}})
pvObject.setScalarArray('labels', ['x', 'y', 'z'])
pvObject.setStructure('value', {'column0' : [0.1, 0.2, 0.3], 'column1' : [1.1, 1.2, 1.3], 'column2' : [2.1, 2.2, 2.3]})
table3 = NtTable(pvObject)
print table3
rpc = pvaccess.RpcClient('table')
request = table3
rpc.invoke(request)
