def test_same_two(self):
source_var = netcdfVarMin(('a', 'b'), (3, 5))
target_var = netcdfVarMin(('a', 'b'), (3, 5))
expected = OrderedDict((('a', 3), ('b', 5)))
result = bald.netcdf_shared_dimensions(source_var, target_var)
with self.subTest():
self.assertDictEqual(result.get('sourceReshape', dict()), expected)
with self.subTest():
self.assertDictEqual(result.get('targetReshape', dict()), expected)
def test_disjoint_misalign_invert(self):
source_var = netcdfVarMin(('b', 'c', 'd'), (5, 7, 9))
target_var = netcdfVarMin(('a', 'b', 'c'), (3, 5, 7))
expected_source = OrderedDict((('a', 1), ('b', 5), ('c', 7), ('d', 9)))
expected_target = OrderedDict((('a', 3), ('b', 5), ('c', 7), ('d', 1)))
result = bald.netcdf_shared_dimensions(source_var, target_var)
with self.subTest():
self.assertDictEqual(result.get('sourceReshape', dict()),
expected_source)
with self.subTest():
self.assertDictEqual(result.get('targetReshape', dict()),
expected_target)