def test_ModelChain___repr__(system, location):
strategy = 'south_at_latitude_tilt'
mc = ModelChain(system, location, orientation_strategy=strategy)
assert mc.__repr__() == ('ModelChain for: PVSystem with tilt:32.2 and '+
'azimuth: 180 with Module: None and Inverter: None '+
'orientation_startegy: south_at_latitude_tilt clearsky_model: '+
'ineichen transposition_model: haydavies solar_position_method: '+
'nrel_numpy airmass_model: kastenyoung1989')
def test_ModelChain___repr__(system, location):
strategy = 'south_at_latitude_tilt'
mc = ModelChain(system,
location,
orientation_strategy=strategy,
name='my mc')
expected = 'ModelChain: \n name: my mc\n orientation_strategy: south_at_latitude_tilt\n clearsky_model: ineichen\n transposition_model: haydavies\n solar_position_method: nrel_numpy\n airmass_model: kastenyoung1989\n dc_model: sapm\n ac_model: snlinverter\n aoi_model: sapm_aoi_loss\n spectral_model: sapm_spectral_loss\n temp_model: sapm_temp\n losses_model: no_extra_losses'
assert mc.__repr__() == expected
def test_ModelChain___repr__():
system = PVSystem()
location = Location(32.2, -111, altitude=700)
strategy = 'south_at_latitude_tilt'
mc = ModelChain(system, location, orientation_strategy=strategy)
# the || accounts for the coercion of 'None' to None
assert mc.__repr__() == ('ModelChain for: PVSystem with tilt:32.2 and '+
'azimuth: 180 with Module: None and Inverter: None '+
'orientation_startegy: south_at_latitude_tilt clearsky_model: '+
'ineichentransposition_model: haydavies solar_position_method: '+
'nrel_numpyairmass_model: kastenyoung1989')
def test_ModelChain___repr__():
system = PVSystem()
location = Location(32.2, -111, altitude=700)
strategy = 'south_at_latitude_tilt'
mc = ModelChain(system, location, orientation_strategy=strategy)
# the || accounts for the coercion of 'None' to None
assert mc.__repr__() == (
'ModelChain for: PVSystem with tilt:32.2 and ' +
'azimuth: 180 with Module: None and Inverter: None ' +
'orientation_startegy: south_at_latitude_tilt clearsky_model: ' +
'ineichentransposition_model: haydavies solar_position_method: ' +
'nrel_numpyairmass_model: kastenyoung1989')
def test_ModelChain___repr__(system, location, strategy, strategy_str):
mc = ModelChain(system,
location,
orientation_strategy=strategy,
name='my mc')
expected = '\n'.join([
'ModelChain: ', ' name: my mc',
' orientation_strategy: ' + strategy_str,
' clearsky_model: ineichen', ' transposition_model: haydavies',
' solar_position_method: nrel_numpy',
' airmass_model: kastenyoung1989', ' dc_model: sapm',
' ac_model: snlinverter', ' aoi_model: sapm_aoi_loss',
' spectral_model: sapm_spectral_loss',
' temperature_model: sapm_temp', ' losses_model: no_extra_losses'
])
assert mc.__repr__() == expected
def test_ModelChain___repr__(system, location, strategy, strategy_str):
mc = ModelChain(system, location, orientation_strategy=strategy,
name='my mc')
expected = '\n'.join([
'ModelChain: ',
' name: my mc',
' orientation_strategy: ' + strategy_str,
' clearsky_model: ineichen',
' transposition_model: haydavies',
' solar_position_method: nrel_numpy',
' airmass_model: kastenyoung1989',
' dc_model: sapm',
' ac_model: snlinverter',
' aoi_model: sapm_aoi_loss',
' spectral_model: sapm_spectral_loss',
' temp_model: sapm_temp',
' losses_model: no_extra_losses'
])
assert mc.__repr__() == expected
