Planck likelihood lowl_EE error cause montepython to stop

[svevoloch]

When I do the first run of montepython, everything works perfectly with the following .param file:

data.experiments=['Planck_highl_TTTEEE', 'Planck_lowl_EE', 'Planck_lowl_TT', 'bao_fs_boss_dr12', 'bao_boss']

data.parameters['omega_b'] = [ 2.2377, None, None, 0.015, 0.01, 'cosmo']
data.parameters['omega_cdm'] = [ 0.12010, None, None, 0.0013, 1, 'cosmo']
data.parameters['100*theta_s'] = [ 1.04110, None, None, 0.00030, 1, 'cosmo']
data.parameters['ln10^{10}A_s'] = [ 3.0447, None, None, 0.015, 1, 'cosmo']
data.parameters['n_s'] = [ 0.9659, None, None, 0.0042, 1, 'cosmo']
data.parameters['tau_reio'] = [ 0.0543, 0.004, None, 0.008, 1, 'cosmo']
data.parameters['m_ncdm'] = [0.15, 0., 1., 0.1, 1., 'cosmo']

data.parameters['A_cib_217'] = [ 47.2, 0, 200, 6.2593, 1, 'nuisance']
data.parameters['cib_index'] = [ -1.3, -1.3, -1.3, 0, 1, 'nuisance']
data.parameters['xi_sz_cib'] = [ 0.42, 0, 1, 0.33, 1, 'nuisance']
data.parameters['A_sz'] = [ 7.23, 0, 10, 1.4689, 1, 'nuisance']
data.parameters['ps_A_100_100'] = [ 251.0, 0, 400, 29.438, 1, 'nuisance']
data.parameters['ps_A_143_143'] = [ 47.4, 0, 400, 9.9484, 1, 'nuisance']
data.parameters['ps_A_143_217'] = [ 47.3, 0, 400, 11.356, 1, 'nuisance']
data.parameters['ps_A_217_217'] = [ 119.8, 0, 400, 10.256, 1, 'nuisance']
data.parameters['ksz_norm'] = [ 0.01, 0, 10, 2.7468, 1, 'nuisance']
data.parameters['gal545_A_100'] = [ 8.86, 0, 50, 1.8928, 1, 'nuisance']
data.parameters['gal545_A_143'] = [ 11.10, 0, 50, 1.8663, 1, 'nuisance']
data.parameters['gal545_A_143_217'] = [ 19.8, 0, 100, 3.8796, 1, 'nuisance']
data.parameters['gal545_A_217'] = [ 95.1, 0, 400, 6.9759, 1, 'nuisance']
data.parameters['galf_EE_A_100'] = [ 0.055, 0.055, 0.055, 0, 1, 'nuisance']
data.parameters['galf_EE_A_100_143'] = [ 0.040, 0.040, 0.040, 0, 1, 'nuisance']
data.parameters['galf_EE_A_100_217'] = [ 0.094, 0.094, 0.094, 0, 1, 'nuisance']
data.parameters['galf_EE_A_143'] = [ 0.086, 0.086, 0.086, 0, 1, 'nuisance']
data.parameters['galf_EE_A_143_217'] = [ 0.21, 0.21, 0.21, 0, 1, 'nuisance']
data.parameters['galf_EE_A_217'] = [ 0.70, 0.70, 0.70, 0, 1, 'nuisance']
data.parameters['galf_EE_index'] = [ -2.4, -2.4, -2.4, 0, 1, 'nuisance']
data.parameters['galf_TE_A_100'] = [ 0.114, 0, 10, 0.038762, 1, 'nuisance']
data.parameters['galf_TE_A_100_143'] = [ 0.134, 0, 10, 0.030096, 1, 'nuisance']
data.parameters['galf_TE_A_100_217'] = [ 0.482, 0, 10, 0.086185, 1, 'nuisance']
data.parameters['galf_TE_A_143'] = [ 0.224, 0, 10, 0.055126, 1, 'nuisance']
data.parameters['galf_TE_A_143_217'] = [ 0.664, 0, 10, 0.082349, 1, 'nuisance']
data.parameters['galf_TE_A_217'] = [ 2.08, 0, 10, 0.27175, 1, 'nuisance']
data.parameters['galf_TE_index'] = [ -2.4, -2.4, -2.4, 0, 1, 'nuisance']
data.parameters['calib_100T'] = [ 999.69, 0, 3000, 0.61251, 0.001, 'nuisance']
data.parameters['calib_217T'] = [ 998.16, 0, 3000, 0.63584, 0.001, 'nuisance']
data.parameters['calib_100P'] = [ 1.021, 1.021, 1.021, 0, 1, 'nuisance']
data.parameters['calib_143P'] = [ 0.966, 0.966, 0.966, 0, 1, 'nuisance']
data.parameters['calib_217P'] = [ 1.040, 1.040, 1.040, 0, 1, 'nuisance']
data.parameters['A_cnoise_e2e_100_100_EE'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_cnoise_e2e_143_143_EE'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_cnoise_e2e_217_217_EE'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_sbpx_100_100_TT'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_sbpx_143_143_TT'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_sbpx_143_217_TT'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_sbpx_217_217_TT'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_sbpx_100_100_EE'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_sbpx_100_143_EE'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_sbpx_100_217_EE'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_sbpx_143_143_EE'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_sbpx_143_217_EE'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_sbpx_217_217_EE'] = [ 1, 1, 1, 0, 1, 'nuisance']
data.parameters['A_planck'] = [ 1.00061, 0.9, 1.1, 0.0025, 1, 'nuisance']
data.parameters['A_pol'] = [ 1, 1, 1, 0, 1, 'nuisance']

data.parameters['z_reio'] = [1, None, None, 0, 1, 'derived']
data.parameters['Omega_Lambda'] = [1, None, None, 0, 1, 'derived']
#data.parameters['YHe'] = [1, None, None, 0, 1, 'derived']
data.parameters['H0'] = [0, None, None, 0, 1, 'derived']
data.parameters['A_s'] = [0, None, None, 0, 1e-9, 'derived']
data.parameters['sigma8'] = [0, None, None, 0, 1, 'derived']

data.cosmo_arguments['YHe'] = 0.2573
data.cosmo_arguments['k_pivot'] = 0.05

data.cosmo_arguments['ncdm_quadrature_strategy'] = 3
data.cosmo_arguments['ncdm_maximum_q'] = 10
data.cosmo_arguments['ncdm_N_momentum_bins'] = 15

data.cosmo_arguments['N_ur'] = 0.
data.cosmo_arguments['N_ncdm'] = 1

data.cosmo_arguments['output'] = 'mPk'
data.cosmo_arguments['P_k_max_h/Mpc'] = 1.

data.N=200000
data.write_step=1

After this, I pick the .bestfit data file and change the starting values of the given parameters to modify this .param file and try to re-run the simulations. But after ~ 3000 steps, montepython stops, giving the error

Traceback (most recent call last):
File "montepython/MontePython.py", line 40, in
sys.exit(run())
File "/home/svevoloch/Downloads/montepython_public-3.5/montepython/run.py", line 45, in run
sampler.run(cosmo, data, command_line)
File "/home/svevoloch/Downloads/montepython_public-3.5/montepython/sampler.py", line 46, in run
mcmc.chain(cosmo, data, command_line)
File "/home/svevoloch/Downloads/montepython_public-3.5/montepython/mcmc.py", line 787, in chain
newloglike = sampler.compute_lkl(cosmo, data)
File "/home/svevoloch/Downloads/montepython_public-3.5/montepython/sampler.py", line 776, in compute_lkl
value = likelihood.loglkl(cosmo, data)
File "/home/svevoloch/Downloads/montepython_public-3.5/montepython/likelihood_class.py", line 1052, in loglkl
lkl = self.clik(tot)[0]
File "lkl.pyx", line 90, in clik.lkl.clik.call
clik.lkl.CError: clik_compute(../src/clik.c:391)::ForwardError
distribution_lkl(../src/minipmc/distribution.c:219)::ForwardError
lklbs_lkl(../src/lklbs.c:219)::ForwardError
simall_lkl(../src/simall/clik_simall.c:48)::Error -1233 (multipole EE 6 too large (got 0.30044 expected <0.3))

This .param file was also tested by a different person, and he didn't have any issues, so it should not be the problem with entering the values to .param file.