def test_profile_orthogonal(self):
'''
Ensures profile-orthogonal detection works
'''
with Dataset(resources.STATIC_FILES['profile-orthogonal']) as nc:
for variable in util.get_geophysical_variables(nc):
assert util.is_profile_orthogonal(nc, variable), "{} is profile-orthogonal".format(variable)
def check_dimensions(self, dataset):
'''
Checks that the feature types of this dataset are consistent with a profile-orthogonal dataset.
:param netCDF4.Dataset dataset: An open netCDF dataset
'''
results = []
required_ctx = TestCtx(
BaseCheck.HIGH,
'All geophysical variables are profile-orthogonal feature types')
message = '{} must be a valid profile-orthogonal feature type. It must have dimensions of (profile, depth).'
message += ' x and y should have dimensions of (profile), z should have dimension of (depth) and t should have dimension (profile)'
for variable in util.get_geophysical_variables(dataset):
is_valid = util.is_profile_orthogonal(dataset, variable)
required_ctx.assert_true(is_valid, message.format(variable))
results.append(required_ctx.to_result())
return results
def check_dimensions(self, dataset):
'''
Checks that the feature types of this dataset are consistent with a profile-orthogonal dataset.
:param netCDF4.Dataset dataset: An open netCDF dataset
'''
results = []
required_ctx = TestCtx(BaseCheck.HIGH, 'All geophysical variables are profile-orthogonal feature types')
message = '{} must be a valid profile-orthogonal feature type. It must have dimensions of (profile, depth).'
message += ' x and y should have dimensions of (profile), z should have dimension of (depth) and t should have dimension (profile)'
for variable in util.get_geophysical_variables(dataset):
is_valid = util.is_profile_orthogonal(dataset, variable)
required_ctx.assert_true(
is_valid,
message.format(variable)
)
results.append(required_ctx.to_result())
return results