def test_spot(self):
"""Test providing spot historic forecasts and truths."""
check_data_sufficiency(
self.historic_forecast_spot_cube,
self.truth_spot_cube,
self.point_by_point,
self.proportion_of_nans,
)
def test_gridded(self):
"""Test providing gridded historic forecasts and truths."""
check_data_sufficiency(
self.historic_temperature_forecast_cube,
self.temperature_truth_cube,
self.point_by_point,
self.proportion_of_nans,
)
def test_spot_point_by_point(self):
"""Test providing spot historic forecasts and truths when using
point-by-point processing."""
point_by_point = True
check_data_sufficiency(
self.historic_forecast_spot_cube,
self.truth_spot_cube,
point_by_point,
self.proportion_of_nans,
)
def test_spot_nans(self):
"""Test providing spot historic forecasts and truths with
a proportion of NaNs above the allowable proportion."""
msg = (
"The proportion of NaNs detected is 0.7. This is higher than "
"the allowable proportion of NaNs within the historic forecasts "
"and truth pairs: 0.5."
)
with self.assertRaisesRegex(ValueError, msg):
check_data_sufficiency(
self.hf_with_nans,
self.truth_with_nans,
self.point_by_point,
self.proportion_of_nans,
)
def test_spot_point_by_point_nans(self):
"""Test providing spot historic forecasts and truths when using
point-by-point processing with a proportion of NaNs above the
allowable proportion."""
point_by_point = True
msg = (
"3 sites have a proportion of NaNs that is higher than the "
"allowable proportion of NaNs within the historic forecasts "
"and truth pairs. The allowable proportion is 0.5. "
"The maximum proportion of NaNs is 1.0."
)
with self.assertRaisesRegex(ValueError, msg):
check_data_sufficiency(
self.hf_with_nans,
self.truth_with_nans,
point_by_point,
self.proportion_of_nans,
)