Exemplo n.º 1
0
 def test_extreme_week_2d(self, model_national):
     data = model_national._model_data_original.copy()
     with pytest.raises(ValueError):
         mask = masks.extreme(
             data,
             "csp",
             var="resource",
             how="max",
             length="2D",
             n=1,
             padding="calendar_week",
         )
Exemplo n.º 2
0
    def test_extreme_week_1d(self, model_national):
        data = model_national._model_data_original.copy()
        mask = masks.extreme(
            data,
            "csp",
            var="resource",
            how="max",
            length="1D",
            n=1,
            padding="calendar_week",
        )

        found_days = list(mask.dayofyear.unique())
        days = [18, 19, 20, 21, 22, 23, 24]

        assert days == found_days
Exemplo n.º 3
0
    def test_15min_to_2h_masking_1D(self):
        # The data is identical for '2005-01-01' and '2005-01-03' timesteps,
        # it is only different for '2005-01-02'
        override = {
            "techs.test_demand_elec.constraints.resource":
            "file=demand_elec_15T_to_2h.csv",
            "model.subset_time": None,
        }

        model = build_test_model(override, scenario="simple_supply,one_day")
        data = model._model_data

        mask = masks.extreme(data,
                             "test_demand_elec",
                             var="resource",
                             how="max",
                             length="1D")

        dtindex = pd.DatetimeIndex([
            "2005-01-02 00:00:00",
            "2005-01-02 00:15:00",
            "2005-01-02 00:30:00",
            "2005-01-02 00:45:00",
            "2005-01-02 01:00:00",
            "2005-01-02 01:30:00",
            "2005-01-02 02:00:00",
            "2005-01-02 02:30:00",
            "2005-01-02 03:00:00",
            "2005-01-02 04:00:00",
            "2005-01-02 05:00:00",
            "2005-01-02 06:00:00",
            "2005-01-02 08:00:00",
            "2005-01-02 10:00:00",
            "2005-01-02 12:00:00",
            "2005-01-02 14:00:00",
            "2005-01-02 16:00:00",
            "2005-01-02 17:00:00",
            "2005-01-02 18:00:00",
            "2005-01-02 20:00:00",
            "2005-01-02 22:00:00",
        ])

        assert dtindex.equals(mask)
Exemplo n.º 4
0
    def test_extreme(self, model_national):
        data = model_national._model_data_original.copy()
        mask = masks.extreme(data,
                             "csp",
                             var="resource",
                             how="max",
                             length="2D",
                             n=1,
                             padding="2H")

        dtindex = pd.DatetimeIndex([
            "2005-01-18 22:00:00",
            "2005-01-18 23:00:00",
            "2005-01-19 00:00:00",
            "2005-01-19 01:00:00",
            "2005-01-19 02:00:00",
            "2005-01-19 03:00:00",
            "2005-01-19 04:00:00",
            "2005-01-19 05:00:00",
            "2005-01-19 06:00:00",
            "2005-01-19 07:00:00",
            "2005-01-19 08:00:00",
            "2005-01-19 09:00:00",
            "2005-01-19 10:00:00",
            "2005-01-19 11:00:00",
            "2005-01-19 12:00:00",
            "2005-01-19 13:00:00",
            "2005-01-19 14:00:00",
            "2005-01-19 15:00:00",
            "2005-01-19 16:00:00",
            "2005-01-19 17:00:00",
            "2005-01-19 18:00:00",
            "2005-01-19 19:00:00",
            "2005-01-19 20:00:00",
            "2005-01-19 21:00:00",
            "2005-01-19 22:00:00",
            "2005-01-19 23:00:00",
            "2005-01-20 00:00:00",
            "2005-01-20 01:00:00",
            "2005-01-20 02:00:00",
            "2005-01-20 03:00:00",
            "2005-01-20 04:00:00",
            "2005-01-20 05:00:00",
            "2005-01-20 06:00:00",
            "2005-01-20 07:00:00",
            "2005-01-20 08:00:00",
            "2005-01-20 09:00:00",
            "2005-01-20 10:00:00",
            "2005-01-20 11:00:00",
            "2005-01-20 12:00:00",
            "2005-01-20 13:00:00",
            "2005-01-20 14:00:00",
            "2005-01-20 15:00:00",
            "2005-01-20 16:00:00",
            "2005-01-20 17:00:00",
            "2005-01-20 18:00:00",
            "2005-01-20 19:00:00",
            "2005-01-20 20:00:00",
            "2005-01-20 21:00:00",
            "2005-01-20 22:00:00",
            "2005-01-20 23:00:00",
            "2005-01-21 00:00:00",
            "2005-01-21 01:00:00",
        ])

        assert dtindex.equals(mask)