def test_dep_par_jet(plot=False):
import numpy as np
from jetset.jet_model import Jet
j = Jet(emitters_distribution='plc')
j.add_user_par(name='B0',units='G',val=1E-5,val_min=0,val_max=None)
j.make_dependent_par(par='B',depends_on=['B0'],par_expr='B0*5')
np.testing.assert_allclose(j.parameters.B.val, j.parameters.B0.val*5)
j.save_model('test.pkl')
new_j=Jet.load_model('test.pkl')
new_j.parameters.B0.val=1
np.testing.assert_allclose(new_j.parameters.B.val, new_j.parameters.B0.val*5)
def test_dep_par(plot=False):
from jetset.jet_emitters import EmittersDistribution
import numpy as np
def distr_func_bkn(gamma_break, gamma, s1, s2):
return np.power(gamma, -s1) * (1. + (gamma / gamma_break)) ** (-(s2 - s1))
n_e_bkn = EmittersDistribution('bkn', spectral_type='bkn')
n_e_bkn.add_par('gamma_break', par_type='turn-over-energy', val=1E3, vmin=1., vmax=None, unit='lorentz-factor')
n_e_bkn.add_par('s1', par_type='LE_spectral_slope', val=2.5, vmin=-10., vmax=10, unit='')
n_e_bkn.add_par('s2', par_type='LE_spectral_slope', val=3.2, vmin=-10., vmax=10, unit='')
n_e_bkn.set_distr_func(distr_func_bkn)
n_e_bkn.parameters.show_pars()
n_e_bkn.parameters.s1.val = 2.0
n_e_bkn.parameters.s2.val = 3.5
n_e_bkn.update()
n_e_bkn.parameters.show_pars()
from jetset.jet_model import Jet
j = Jet(emitters_distribution=n_e_bkn)
# def par_func(s1):
# return s1+1
j.make_dependent_par(par='s2', depends_on=['s1'], par_expr='s1+1')
print('here')
j.parameters.s1.val = 3
print('done')
np.testing.assert_allclose(j.parameters.s2.val, j.parameters.s1.val + 1)
j.save_model('jet.pkl')
new_jet = Jet.load_model('jet.pkl')
print('here')
new_jet.parameters.s1.val = 2
print('done')
np.testing.assert_allclose(new_jet.parameters.s2.val, new_jet.parameters.s1.val + 1)
j.eval()
new_jet.show_model()