def test_multi_timeseries_incomplete(self):
'''
Ensures multi-timeseries-incomplete detection works
'''
with Dataset(resources.STATIC_FILES['multi-timeseries-incomplete']) as nc:
for variable in util.get_geophysical_variables(nc):
assert util.is_multi_timeseries_incomplete(nc, variable), "{} is multi-timeseries incomplete".format(variable)
def check_dimensions(self, dataset):
'''
Checks that the feature types of this dataset are consitent with a time series incomplete dataset
:param netCDF4.Dataset dataset: An open netCDF dataset
'''
required_ctx = TestCtx(BaseCheck.HIGH, 'All geophysical variables are time-series incomplete feature types')
message = '{} must be a valid timeseries feature type. It must have dimensions of (timeSeries, time).'
message += ' And all coordinates must have dimensions of (timeSeries)'
for variable in util.get_geophysical_variables(dataset):
is_valid = util.is_multi_timeseries_incomplete(dataset, variable)
required_ctx.assert_true(
is_valid,
message.format(variable)
)
return required_ctx.to_result()
def check_dimensions(self, dataset):
'''
Checks that the feature types of this dataset are consitent with a time series incomplete dataset
:param netCDF4.Dataset dataset: An open netCDF dataset
'''
required_ctx = TestCtx(
BaseCheck.HIGH,
'All geophysical variables are time-series incomplete feature types'
)
message = '{} must be a valid timeseries feature type. It must have dimensions of (timeSeries, time).'
message += ' And all coordinates must have dimensions of (timeSeries)'
for variable in util.get_geophysical_variables(dataset):
is_valid = util.is_multi_timeseries_incomplete(dataset, variable)
required_ctx.assert_true(is_valid, message.format(variable))
return required_ctx.to_result()
