def test_point(self):
'''
Ensures point detection works
'''
with Dataset(resources.STATIC_FILES['point']) as nc:
for variable in util.get_geophysical_variables(nc):
assert util.is_point(nc, variable), "{} is point".format(variable)
def check_dimensions(self, dataset):
"""
Checks that the feature types of this dataset are consitent with a point dataset
"""
required_ctx = TestCtx(BaseCheck.HIGH, "All geophysical variables are point feature types")
t = util.get_time_variable(dataset)
# Exit prematurely
if not t:
required_ctx.assert_true(False, "A dimension representing time is required for point feature types")
return required_ctx.to_result()
t_dims = dataset.variables[t].dimensions
o = None or (t_dims and t_dims[0])
message = "{} must be a valid timeseries feature type. It must have dimensions of ({}), and all coordinates must have dimensions of ({})"
for variable in util.get_geophysical_variables(dataset):
is_valid = util.is_point(dataset, variable)
required_ctx.assert_true(is_valid, message.format(variable, o, o))
return required_ctx.to_result()
def check_dimensions(self, dataset):
'''
Checks that the feature types of this dataset are consitent with a point dataset
'''
required_ctx = TestCtx(
BaseCheck.HIGH,
'All geophysical variables are point feature types')
t = util.get_time_variable(dataset)
# Exit prematurely
if not t:
required_ctx.assert_true(
False,
'A dimension representing time is required for point feature types'
)
return required_ctx.to_result()
t_dims = dataset.variables[t].dimensions
o = None or (t_dims and t_dims[0])
message = '{} must be a valid timeseries feature type. It must have dimensions of ({}), and all coordinates must have dimensions of ({})'
for variable in util.get_geophysical_variables(dataset):
is_valid = util.is_point(dataset, variable)
required_ctx.assert_true(is_valid, message.format(variable, o, o))
return required_ctx.to_result()
