def test_sround_range(self):
self.assertEqual(
sround_range((-0.000067128731732, 6.362984893743), ndigits=1),
(0.0, 6.4))
self.assertEqual(
sround_range((-0.000067128731732, 6362.984893743), ndigits=3),
(0.0, 6362.985))
self.assertEqual(sround_range((6361.239852345, 6362.68923), ndigits=0),
(6361.0, 6363.0))
self.assertEqual(sround_range((6361.239852345, 6362.68923), ndigits=2),
(6361.24, 6362.69))
self.assertEqual(
sround_range((-6362.68923, +6361.239852345), ndigits=2),
(-6362.69, 6361.24))
self.assertEqual(
sround_range((-0.000067128731732, +0.0027635092345), ndigits=2),
(-0.00007, +0.00276))
self.assertEqual(
sround_range((-0.000067128731732, +0.0027635092345), ndigits=1),
(-0.0001, +0.0028))
self.assertEqual(
sround_range((-0.000067128731732, +0.0027635092345), ndigits=0),
(0.0, +0.003))
def get_workspace_variable_statistics(self, base_dir: str, res_name: str, var_name: str, var_index: Sequence[int],
monitor=Monitor.NONE):
workspace_manager = self.workspace_manager
workspace = workspace_manager.get_workspace(base_dir)
if res_name not in workspace.resource_cache:
raise ValueError('Unknown resource "%s"' % res_name)
dataset = workspace.resource_cache[res_name]
if not isinstance(dataset, xr.Dataset):
raise ValueError('Resource "%s" must be a Dataset' % res_name)
if var_name not in dataset:
raise ValueError('Variable "%s" not found in "%s"' % (var_name, res_name))
variable = dataset[var_name]
if var_index:
variable = variable[tuple(var_index)]
with monitor.starting('Computing min/max', total_work=100.):
with monitor.child(work=50.).observing('Computing min'):
actual_min = float(variable.min(skipna=True))
with monitor.child(work=50.).observing('Computing max'):
actual_max = float(variable.max(skipna=True))
actual_min, actual_max = sround_range((actual_min, actual_max), ndigits=2)
return dict(min=actual_min, max=actual_max)