AttributeError: type object 'EventKapitalRebuild' has no attribute 'from_series'
self = <climada_petals.engine.test.test_supplychain.TestSupplyChain_boario testMethod=test_calc_impacts_boario_rebuilding_missing>

    def test_calc_impacts_boario_rebuilding_missing(self):
        """Test running without params."""
    
        # We check that at least one warning is raised when
        # called without parameters.
        with self.assertRaises(ValueError):
            self.sup.calc_impacts("boario", boario_type="rebuild")
        with self.assertRaises(TypeError):
>           self.sup.calc_impacts("boario",
                              boario_type="rebuild",
                              boario_params={"event":{
                                  "rebuilding_sectors":{"Manuf. & Const.":1},
                              }
                                             })

climada_petals/engine/test/test_supplychain.py:707: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada_petals/engine/supplychain.py:809: in calc_impacts
    events_list = [EventKapitalRebuild.from_series(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   events_list = [EventKapitalRebuild.from_series(
                            impact=self.secs_imp.iloc[i],
                            occurrence = (self.events_date[i]-self.events_date.min()+1),
                            # event monetary factor equal to the impact units. self.secs_imp
                            # was rescaled by the conversion_factor upon its construction so
                            # we pass the conversion_factor as unit
                            event_monetary_factor = self.conversion_factor(),
                            **boario_params['event']
                ) for i in range(n_events)
    ]
E   AttributeError: type object 'EventKapitalRebuild' has no attribute 'from_series'

climada_petals/engine/supplychain.py:809: AttributeError

AttributeError: type object 'EventKapitalRebuild' has no attribute 'from_series'
self = <climada_petals.engine.test.test_supplychain.TestSupplyChain_boario testMethod=test_calc_impacts_boario_rebuilding_no_param>

    def test_calc_impacts_boario_rebuilding_no_param(self):
        """Test running without params."""
    
        # We check that at least one warning is raised when
        # called without parameters.
>       self.sup.calc_impacts("boario",
                              boario_type="rebuild",
                              boario_params={"event":{
                                  "rebuilding_sectors":{"Manuf. & Const.":1},
                                  "rebuild_tau":365,
                              }
                                             })

climada_petals/engine/test/test_supplychain.py:719: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada_petals/engine/supplychain.py:809: in calc_impacts
    events_list = [EventKapitalRebuild.from_series(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

.0 = <range_iterator object at 0x7f212138f0f0>

>   events_list = [EventKapitalRebuild.from_series(
                            impact=self.secs_imp.iloc[i],
                            occurrence = (self.events_date[i]-self.events_date.min()+1),
                            # event monetary factor equal to the impact units. self.secs_imp
                            # was rescaled by the conversion_factor upon its construction so
                            # we pass the conversion_factor as unit
                            event_monetary_factor = self.conversion_factor(),
                            **boario_params['event']
                ) for i in range(n_events)
    ]
E   AttributeError: type object 'EventKapitalRebuild' has no attribute 'from_series'

climada_petals/engine/supplychain.py:809: AttributeError

AttributeError: type object 'EventKapitalRebuild' has no attribute 'from_series'
self = <climada_petals.engine.test.test_supplychain.TestSupplyChain_boario testMethod=test_calc_impacts_boario_rebuilding_sep>

    def test_calc_impacts_boario_rebuilding_sep(self):
        """Test running without params."""
    
        # We check that at least one warning is raised when
        # called without parameters.
>       self.sup.calc_impacts("boario",
                              boario_type="rebuild",
                              boario_aggregate="sep",
                              boario_params={"event":{
                                  "rebuilding_sectors":{"Manuf. & Const.":1},
                                  "rebuild_tau":365,
                              }
                                             })

climada_petals/engine/test/test_supplychain.py:769: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada_petals/engine/supplychain.py:809: in calc_impacts
    events_list = [EventKapitalRebuild.from_series(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

.0 = <range_iterator object at 0x7f21210e9740>

>   events_list = [EventKapitalRebuild.from_series(
                            impact=self.secs_imp.iloc[i],
                            occurrence = (self.events_date[i]-self.events_date.min()+1),
                            # event monetary factor equal to the impact units. self.secs_imp
                            # was rescaled by the conversion_factor upon its construction so
                            # we pass the conversion_factor as unit
                            event_monetary_factor = self.conversion_factor(),
                            **boario_params['event']
                ) for i in range(n_events)
    ]
E   AttributeError: type object 'EventKapitalRebuild' has no attribute 'from_series'

climada_petals/engine/supplychain.py:809: AttributeError

AttributeError: type object 'EventKapitalRecover' has no attribute 'from_series'
self = <climada_petals.engine.test.test_supplychain.TestSupplyChain_boario testMethod=test_calc_impacts_boario_recovery_no_param>

    def test_calc_impacts_boario_recovery_no_param(self):
        """Test running without params."""
    
        # We check that at least one warning is raised when
        # called without parameters.
        with self.assertWarns(Warning):
>           self.sup.calc_impacts("boario")

climada_petals/engine/test/test_supplychain.py:661: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada_petals/engine/supplychain.py:796: in calc_impacts
    events_list = [EventKapitalRecover.from_series(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

.0 = <range_iterator object at 0x7f212138ecd0>

>   events_list = [EventKapitalRecover.from_series(
                            impact=self.secs_imp.iloc[i],
                            occurrence = int(self.events_date[i]-self.events_date.min()+1),
                            # event monetary factor equals the impact units. self.secs_imp
                            # was rescaled by the conversion_factor upon its construction so
                            # we pass the conversion_factor as unit
                            event_monetary_factor = self.conversion_factor(),
                            **boario_params['event']
                ) for i in range(n_events)
    ]
E   AttributeError: type object 'EventKapitalRecover' has no attribute 'from_series'

climada_petals/engine/supplychain.py:796: AttributeError

AttributeError: type object 'EventKapitalRecover' has no attribute 'from_series'
self = <climada_petals.engine.test.test_supplychain.TestSupplyChain_boario testMethod=test_calc_impacts_boario_unknown>

    def test_calc_impacts_boario_unknown(self):
        with self.assertRaises(RuntimeError):
            self.sup.calc_impacts("boario", boario_type="xx")
    
        with self.assertRaises(RuntimeError):
>           self.sup.calc_impacts("boario", boario_aggregate="xx")

climada_petals/engine/test/test_supplychain.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada_petals/engine/supplychain.py:796: in calc_impacts
    events_list = [EventKapitalRecover.from_series(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   events_list = [EventKapitalRecover.from_series(
                            impact=self.secs_imp.iloc[i],
                            occurrence = int(self.events_date[i]-self.events_date.min()+1),
                            # event monetary factor equals the impact units. self.secs_imp
                            # was rescaled by the conversion_factor upon its construction so
                            # we pass the conversion_factor as unit
                            event_monetary_factor = self.conversion_factor(),
                            **boario_params['event']
                ) for i in range(n_events)
    ]
E   AttributeError: type object 'EventKapitalRecover' has no attribute 'from_series'

climada_petals/engine/supplychain.py:796: AttributeError