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