def test_descriptor_setitem(self):
if not netCDF4_is_here: return
dd = netCDF4_DDesc(self.nc4_file, '/g/a2', mode='a')
self.assertEqual(dd.dshape, datashape.dshape('2 * 3 * int64'))
dd[1,2] = 10
self.assertEqual(ddesc_as_py(dd[1,2]), 10)
dd[1] = [10, 11, 12]
self.assertEqual(ddesc_as_py(dd[1]), [10, 11, 12])
def test_descriptor_getitem_types(self):
if not netCDF4_is_here: return
dd = netCDF4_DDesc(self.nc4_file, '/g/a2')
self.assertEqual(dd.dshape, datashape.dshape('2 * 3 * int64'))
# Indexing should produce DyND_DDesc instances
self.assertTrue(isinstance(dd[0], DyND_DDesc))
self.assertEqual(ddesc_as_py(dd[0]), [1,2,3])
self.assertTrue(isinstance(dd[1,2], DyND_DDesc))
self.assertEqual(ddesc_as_py(dd[1,2]), 1)
def test_basic_object_type(self):
# For reasons that I ignore, the above decorator is not working for
# 2.6, so will disable the tests the hard way...
if not netCDF4_is_here: return
self.assertTrue(issubclass(netCDF4_DDesc, DDesc))
dd = netCDF4_DDesc(self.nc4_file, '/a1')
# Make sure the right type is returned
self.assertTrue(isinstance(dd, DDesc))
self.assertEqual(ddesc_as_py(dd), [[1, 2, 3], [4, 5, 6]])
def test_descriptor_append(self):
if True: return
dd = netCDF4_DDesc(self.nc4_file, '/t1', mode='a')
tshape = datashape.dshape(
'2 * { f0 : int32, f1 : int64, f2 : float64 }')
self.assertEqual(dd.dshape, tshape)
dd.append([(10, 11, 12)])
dvals = {'f0': 10, 'f1': 11, 'f2': 12.}
rvals = ddesc_as_py(dd[2])
is_equal = [(rvals[k] == dvals[k]) for k in dvals]
self.assertEqual(is_equal, [True]*3)
def test_descriptor_iter_types(self):
if not netCDF4_is_here: return
dd = netCDF4_DDesc(self.nc4_file, '/a1')
self.assertEqual(dd.dshape, datashape.dshape('2 * 3 * int32'))
# Iteration should produce DyND_DDesc instances
vals = []
for el in dd:
self.assertTrue(isinstance(el, DyND_DDesc))
self.assertTrue(isinstance(el, DDesc))
vals.append(ddesc_as_py(el))
self.assertEqual(vals, [[1, 2, 3], [4, 5, 6]])