def test_convert_multi_1(self):
# provides timestep_mins
global_conf = {}
global_conf['timestep_mins'] = 30
global_conf['carbon_price'] = {2040: 25, 2030: 12.5, 2010: 6}
global_conf['data_ts_length'] = 365 * 3
global_conf['time_period_yrs'] = 5
gc = globalconfig.GlobalBase()
gc.set_config(global_conf)
exp_pre = {
'timestep_mins': 30,
'timestep_hrs': 0.5,
'carbon_price': {
2040: 25,
2030: 12.5,
2010: 6
},
'carbon_price_m': {
2040: 25e-6,
2030: 12.5e-6,
2010: 6e-6
},
'data_ts_length': 365 * 3,
'time_period_yrs': 5
}
self.assertTrue((exp_pre == gc.get_config()))
gc.post_data_global_calcs()
exp_post = exp_pre
exp_post['time_scale_up_mult'] = 16 * 5 * (365.25 / 365)
exp_post['variable_cost_mult'] = exp_post['time_scale_up_mult']
self.assertTrue((exp_post == gc.get_config()))
def test_missing_ts_length(self):
# provides both timestep_mins and timestep_hrs. timestep_mins takes priority.
global_conf = {}
global_conf['timestep_mins'] = 30
global_conf['timestep_hrs'] = 1.5
global_conf['carbon_price'] = 12.5
global_conf['time_period_yrs'] = 5
gc = globalconfig.GlobalBase()
gc.set_config(global_conf)
exp_pre = {
'timestep_mins': 30,
'timestep_hrs': 0.5,
'carbon_price': 12.5,
'carbon_price_m': 12.5e-6,
'time_period_yrs': 5
}
self.assertTrue((exp_pre == gc.get_config()))
with self.assertRaises(mureilexception.ConfigException) as cm:
gc.post_data_global_calcs()
self.assertEqual(
cm.exception.msg,
'Global calculations of time_scale_up_mult require the data_ts_length parameter to be set'
)
def test_variable_cost_mult(self):
# provides both timestep_mins and timestep_hrs. timestep_mins takes priority.
global_conf = {}
global_conf['timestep_mins'] = 30
global_conf['timestep_hrs'] = 1.5
global_conf['carbon_price'] = 12.5
global_conf['data_ts_length'] = 365 * 3
global_conf['time_period_yrs'] = 5
global_conf['variable_cost_mult'] = 100
gc = globalconfig.GlobalBase()
gc.set_config(global_conf)
exp_pre = {
'timestep_mins': 30,
'timestep_hrs': 0.5,
'carbon_price': 12.5,
'carbon_price_m': 12.5e-6,
'data_ts_length': 365 * 3,
'time_period_yrs': 5,
'variable_cost_mult': 100
}
self.assertTrue((exp_pre == gc.get_config()))
gc.post_data_global_calcs()
exp_post = exp_pre
exp_post['time_scale_up_mult'] = 16 * 5 * (365.25 / 365)
exp_post['variable_cost_mult'] = 100
self.assertTrue((exp_post == gc.get_config()))
def test_missing_timestep_carbon(self):
# provides not very much
global_conf = {}
global_conf['data_ts_length'] = 365 * 3
global_conf['time_period_yrs'] = 5
gc = globalconfig.GlobalBase()
gc.set_config(global_conf)
exp_pre = {'data_ts_length': 365 * 3, 'time_period_yrs': 5}
self.assertTrue((exp_pre == gc.get_config()))
gc.post_data_global_calcs()
exp_post = exp_pre
self.assertTrue((exp_post == gc.get_config()))
def test_reject_multi_2(self):
# provides timestep_mins, but as a multi-period
global_conf = {}
global_conf['timestep_mins'] = {2010: 0.5, 2020: 1.0, 2030: 1.5}
global_conf['carbon_price'] = {2040: 25, 2030: 12.5, 2010: 6}
global_conf['data_ts_length'] = 365 * 3
global_conf['time_period_yrs'] = 5
gc = globalconfig.GlobalBase()
with self.assertRaises(mureilexception.ConfigException) as cm:
gc.set_config(global_conf)
self.assertEqual(
cm.exception.msg,
'Global timestep_mins is required to have the same value across the sim.'
)
def test_missing_timeperiod_yrs(self):
global_conf = {}
global_conf['timestep_mins'] = 30
global_conf['carbon_price'] = 25
global_conf['data_ts_length'] = 365 * 3
gc = globalconfig.GlobalBase()
gc.set_config(global_conf)
exp_pre = {
'timestep_mins': 30,
'timestep_hrs': 0.5,
'carbon_price': 25,
'carbon_price_m': 25e-6,
'data_ts_length': 365 * 3
}
self.assertTrue((exp_pre == gc.get_config()))
gc.post_data_global_calcs()
exp_post = exp_pre
self.assertTrue((exp_post == gc.get_config()))