def test_input_output(self):
ncfile = os.path.join(os.path.dirname(__file__), "resources/coamps.nc")
with EnhancedDataset(ncfile, 'r') as original_ncd:
mi = original_ncd.meta()
with EnhancedDataset(self.ncdf, 'w') as ncd:
ncd.apply_meta(mi)
self.assertDictEqual(
ncpyattributes(dict(original_ncd.__dict__)),
ncpyattributes(dict(ncd.__dict__)))
for k, v in original_ncd.variables.items():
oldatts = ncpyattributes(dict(v.__dict__))
newatts = ncpyattributes(dict(ncd.variables[k].__dict__))
# _FillValue gets added even if it wasn't in the original attributes
if '_FillValue' in newatts:
del newatts['_FillValue']
if 'missing_value' in oldatts:
del oldatts['missing_value']
self.assertDictEqual(oldatts, newatts)
def test_lvl2_apply(self):
jsf = os.path.join(os.path.dirname(__file__),
"resources/coamps_lvl2.json")
mi = MetaInterface.from_jsonfile(jsf)
with EnhancedDataset(self.ncdf, 'w') as ncd:
ncd.apply_meta(mi)
assert {k: v.size
for k, v in ncd.dimensions.items()} == mi['dimensions']
fileglobatts = {k: v['data'] for k, v in mi['attributes'].items()}
newglobatts = {}
for nk in ncd.ncattrs():
newglobatts[nk] = ncd.getncattr(nk)
self.assertDictEqual(fileglobatts, newglobatts)
for k, v in ncd.variables.items():
filevaratts = {
k: v['data']
for k, v in mi['variables'][k]['attributes'].items()
}
newvaratts = ncpyattributes(dict(v.__dict__), verbose=False)
# _FillValue gets added even if it wasn't in the original attributes
if '_FillValue' in newvaratts:
del newvaratts['_FillValue']
if 'missing_value' in filevaratts:
del filevaratts['missing_value']
self.assertDictEqual(filevaratts, newvaratts)