info = {'likelihood': {'planck_2018_highl_plik.EE':None,
                'planck_2018_lowl.EE': None},
 'params': {'100*theta_s': {'derived': False,
                            'value': 'lambda theta_s_1e2: theta_s_1e2'},
            'A': {'derived': 'lambda A_s: 1e9*A_s',
                  'latex': '10^9 A_\\mathrm{s}'},
            'A_s': {'latex': 'A_\\mathrm{s}',
                    'value': 'lambda logA: 1e-10*np.exp(logA)'},
            'H0': {'latex': 'H_0'},
            'Omega_Lambda': {'latex': '\\Omega_\\Lambda'},
            'Omega_m': {'latex': '\\Omega_\\mathrm{m}'},
            'YHe': {'latex': 'Y_\\mathrm{P}'},
            'age': {'latex': '{\\rm{Age}}/\\mathrm{Gyr}'},
            'clamp': {'derived': 'lambda A_s, tau_reio: '
                                 '1e9*A_s*np.exp(-2*tau_reio)',
                      'latex': '10^9 A_\\mathrm{s} e^{-2\\tau}'},
            'logA': {'drop': True,
                     'latex': '\\log(10^{10} A_\\mathrm{s})',
                     'prior': {'max': 3.91, 'min': 1.61},
                     'proposal': 0.001,
                     'ref': {'dist': 'norm', 'loc': 3.05, 'scale': 0.001}},
            'm_ncdm': {'renames': 'mnu', 'value': 0.06},
            'n_s': {'latex': 'n_\\mathrm{s}',
                    'prior': {'max': 1.2, 'min': 0.8},
                    'proposal': 0.002,
                    'ref': {'dist': 'norm', 'loc': 0.965, 'scale': 0.004}},
            'omega_b': {'latex': '\\Omega_\\mathrm{b} h^2',
                        'prior': {'max': 0.1, 'min': 0.005},
                        'proposal': 0.0001,
                        'ref': {'dist': 'norm',
                                'loc': 0.0224,
                                'scale': 0.0001}},
            'omega_cdm': {'latex': '\\Omega_\\mathrm{c} h^2',
                          'prior': {'max': 0.99, 'min': 0.001},
                          'proposal': 0.0005,
                          'ref': {'dist': 'norm', 'loc': 0.12, 'scale': 0.001}},
            'omegamh2': {'derived': 'lambda Omega_m, H0: Omega_m*(H0/100)**2',
                         'latex': '\\Omega_\\mathrm{m} h^2'},
            'rs_drag': {'latex': 'r_\\mathrm{drag}'},
            's8h5': {'derived': 'lambda sigma8, H0: sigma8*(H0*1e-2)**(-0.5)',
                     'latex': '\\sigma_8/h^{0.5}'},
            's8omegamp25': {'derived': 'lambda sigma8, Omega_m: '
                                       'sigma8*Omega_m**0.25',
                            'latex': '\\sigma_8 \\Omega_\\mathrm{m}^{0.25}'},
            's8omegamp5': {'derived': 'lambda sigma8, Omega_m: '
                                      'sigma8*Omega_m**0.5',
                           'latex': '\\sigma_8 \\Omega_\\mathrm{m}^{0.5}'},
            'sigma8': {'latex': '\\sigma_8'},
            'tau_reio': {'latex': '\\tau_\\mathrm{reio}',
                         'prior': {'max': 0.8, 'min': 0.01},
                         'proposal': 0.003,
                         'ref': {'dist': 'norm', 'loc': 0.055, 'scale': 0.006}},
            'theta_s_1e2': {'drop': True,
                            'latex': '100\\theta_\\mathrm{s}',
                            'prior': {'max': 10, 'min': 0.5},
                            'proposal': 0.0002,
                            'ref': {'dist': 'norm',
                                    'loc': 1.0416,
                                    'scale': 0.0004}},
            'z_reio': {'latex': 'z_\\mathrm{re}'}},
 'sampler': {'mcmc': {'covmat': 'auto',
                      'drag': True,
                      'oversample_power': 0.4,
                      'proposal_scale': 1.9,
                      'learn_every':'20d'}},
 'theory': {'classy': {'extra_args': {'N_ncdm': 1,
                                      'N_ur': 2.0328,
                                      'hmcode_min_k_max': 20,
                                      'non linear': 'hmcode'}}},
 'output':'chains/lcdm_highEE+lowEE+BAO',
 'post': { 'suffix': 'BAO',
           'add': {'likelihood': {'bao.sdss_dr12_consensus_final': None,
                                  'bao.sdss_dr7_mgs': None,
                                  'bao.sixdf_2011_bao': None},
                   'theory':{'classy': {'extra_args':{'N_ncdm': 1,
                                                     'N_ur': 2.0328,
                                                     'hmcode_min_k_max': 20,
                                                      'non linear': 'hmcode'}}},
                  ' params':{'h' : 'H0/100',
                             'chi2__BAO':{'latex': 'chi^2_\\mathrm{BAO}'}}}}}

from cobaya.run import run

updated_info, sampler = run(info)

abe2057bf296f48d32bdc288c8def3ee2eba3184
<mask token>

info = {'likelihood': {'planck_2018_highl_plik.EE': None,
    'planck_2018_lowl.EE': None}, 'params': {'100*theta_s': {'derived': 
    False, 'value': 'lambda theta_s_1e2: theta_s_1e2'}, 'A': {'derived':
    'lambda A_s: 1e9*A_s', 'latex': '10^9 A_\\mathrm{s}'}, 'A_s': {'latex':
    'A_\\mathrm{s}', 'value': 'lambda logA: 1e-10*np.exp(logA)'}, 'H0': {
    'latex': 'H_0'}, 'Omega_Lambda': {'latex': '\\Omega_\\Lambda'},
    'Omega_m': {'latex': '\\Omega_\\mathrm{m}'}, 'YHe': {'latex':
    'Y_\\mathrm{P}'}, 'age': {'latex': '{\\rm{Age}}/\\mathrm{Gyr}'},
    'clamp': {'derived':
    'lambda A_s, tau_reio: 1e9*A_s*np.exp(-2*tau_reio)', 'latex':
    '10^9 A_\\mathrm{s} e^{-2\\tau}'}, 'logA': {'drop': True, 'latex':
    '\\log(10^{10} A_\\mathrm{s})', 'prior': {'max': 3.91, 'min': 1.61},
    'proposal': 0.001, 'ref': {'dist': 'norm', 'loc': 3.05, 'scale': 0.001}
    }, 'm_ncdm': {'renames': 'mnu', 'value': 0.06}, 'n_s': {'latex':
    'n_\\mathrm{s}', 'prior': {'max': 1.2, 'min': 0.8}, 'proposal': 0.002,
    'ref': {'dist': 'norm', 'loc': 0.965, 'scale': 0.004}}, 'omega_b': {
    'latex': '\\Omega_\\mathrm{b} h^2', 'prior': {'max': 0.1, 'min': 0.005},
    'proposal': 0.0001, 'ref': {'dist': 'norm', 'loc': 0.0224, 'scale': 
    0.0001}}, 'omega_cdm': {'latex': '\\Omega_\\mathrm{c} h^2', 'prior': {
    'max': 0.99, 'min': 0.001}, 'proposal': 0.0005, 'ref': {'dist': 'norm',
    'loc': 0.12, 'scale': 0.001}}, 'omegamh2': {'derived':
    'lambda Omega_m, H0: Omega_m*(H0/100)**2', 'latex':
    '\\Omega_\\mathrm{m} h^2'}, 'rs_drag': {'latex': 'r_\\mathrm{drag}'},
    's8h5': {'derived': 'lambda sigma8, H0: sigma8*(H0*1e-2)**(-0.5)',
    'latex': '\\sigma_8/h^{0.5}'}, 's8omegamp25': {'derived':
    'lambda sigma8, Omega_m: sigma8*Omega_m**0.25', 'latex':
    '\\sigma_8 \\Omega_\\mathrm{m}^{0.25}'}, 's8omegamp5': {'derived':
    'lambda sigma8, Omega_m: sigma8*Omega_m**0.5', 'latex':
    '\\sigma_8 \\Omega_\\mathrm{m}^{0.5}'}, 'sigma8': {'latex': '\\sigma_8'
    }, 'tau_reio': {'latex': '\\tau_\\mathrm{reio}', 'prior': {'max': 0.8,
    'min': 0.01}, 'proposal': 0.003, 'ref': {'dist': 'norm', 'loc': 0.055,
    'scale': 0.006}}, 'theta_s_1e2': {'drop': True, 'latex':
    '100\\theta_\\mathrm{s}', 'prior': {'max': 10, 'min': 0.5}, 'proposal':
    0.0002, 'ref': {'dist': 'norm', 'loc': 1.0416, 'scale': 0.0004}},
    'z_reio': {'latex': 'z_\\mathrm{re}'}}, 'sampler': {'mcmc': {'covmat':
    'auto', 'drag': True, 'oversample_power': 0.4, 'proposal_scale': 1.9,
    'learn_every': '20d'}}, 'theory': {'classy': {'extra_args': {'N_ncdm': 
    1, 'N_ur': 2.0328, 'hmcode_min_k_max': 20, 'non linear': 'hmcode'}}},
    'output': 'chains/lcdm_highEE+lowEE+BAO', 'post': {'suffix': 'BAO',
    'add': {'likelihood': {'bao.sdss_dr12_consensus_final': None,
    'bao.sdss_dr7_mgs': None, 'bao.sixdf_2011_bao': None}, 'theory': {
    'classy': {'extra_args': {'N_ncdm': 1, 'N_ur': 2.0328,
    'hmcode_min_k_max': 20, 'non linear': 'hmcode'}}}, ' params': {'h':
    'H0/100', 'chi2__BAO': {'latex': 'chi^2_\\mathrm{BAO}'}}}}}
<mask token>
updated_info, sampler = run(info)

info = {'likelihood': {'planck_2018_highl_plik.EE': None,
    'planck_2018_lowl.EE': None}, 'params': {'100*theta_s': {'derived': 
    False, 'value': 'lambda theta_s_1e2: theta_s_1e2'}, 'A': {'derived':
    'lambda A_s: 1e9*A_s', 'latex': '10^9 A_\\mathrm{s}'}, 'A_s': {'latex':
    'A_\\mathrm{s}', 'value': 'lambda logA: 1e-10*np.exp(logA)'}, 'H0': {
    'latex': 'H_0'}, 'Omega_Lambda': {'latex': '\\Omega_\\Lambda'},
    'Omega_m': {'latex': '\\Omega_\\mathrm{m}'}, 'YHe': {'latex':
    'Y_\\mathrm{P}'}, 'age': {'latex': '{\\rm{Age}}/\\mathrm{Gyr}'},
    'clamp': {'derived':
    'lambda A_s, tau_reio: 1e9*A_s*np.exp(-2*tau_reio)', 'latex':
    '10^9 A_\\mathrm{s} e^{-2\\tau}'}, 'logA': {'drop': True, 'latex':
    '\\log(10^{10} A_\\mathrm{s})', 'prior': {'max': 3.91, 'min': 1.61},
    'proposal': 0.001, 'ref': {'dist': 'norm', 'loc': 3.05, 'scale': 0.001}
    }, 'm_ncdm': {'renames': 'mnu', 'value': 0.06}, 'n_s': {'latex':
    'n_\\mathrm{s}', 'prior': {'max': 1.2, 'min': 0.8}, 'proposal': 0.002,
    'ref': {'dist': 'norm', 'loc': 0.965, 'scale': 0.004}}, 'omega_b': {
    'latex': '\\Omega_\\mathrm{b} h^2', 'prior': {'max': 0.1, 'min': 0.005},
    'proposal': 0.0001, 'ref': {'dist': 'norm', 'loc': 0.0224, 'scale': 
    0.0001}}, 'omega_cdm': {'latex': '\\Omega_\\mathrm{c} h^2', 'prior': {
    'max': 0.99, 'min': 0.001}, 'proposal': 0.0005, 'ref': {'dist': 'norm',
    'loc': 0.12, 'scale': 0.001}}, 'omegamh2': {'derived':
    'lambda Omega_m, H0: Omega_m*(H0/100)**2', 'latex':
    '\\Omega_\\mathrm{m} h^2'}, 'rs_drag': {'latex': 'r_\\mathrm{drag}'},
    's8h5': {'derived': 'lambda sigma8, H0: sigma8*(H0*1e-2)**(-0.5)',
    'latex': '\\sigma_8/h^{0.5}'}, 's8omegamp25': {'derived':
    'lambda sigma8, Omega_m: sigma8*Omega_m**0.25', 'latex':
    '\\sigma_8 \\Omega_\\mathrm{m}^{0.25}'}, 's8omegamp5': {'derived':
    'lambda sigma8, Omega_m: sigma8*Omega_m**0.5', 'latex':
    '\\sigma_8 \\Omega_\\mathrm{m}^{0.5}'}, 'sigma8': {'latex': '\\sigma_8'
    }, 'tau_reio': {'latex': '\\tau_\\mathrm{reio}', 'prior': {'max': 0.8,
    'min': 0.01}, 'proposal': 0.003, 'ref': {'dist': 'norm', 'loc': 0.055,
    'scale': 0.006}}, 'theta_s_1e2': {'drop': True, 'latex':
    '100\\theta_\\mathrm{s}', 'prior': {'max': 10, 'min': 0.5}, 'proposal':
    0.0002, 'ref': {'dist': 'norm', 'loc': 1.0416, 'scale': 0.0004}},
    'z_reio': {'latex': 'z_\\mathrm{re}'}}, 'sampler': {'mcmc': {'covmat':
    'auto', 'drag': True, 'oversample_power': 0.4, 'proposal_scale': 1.9,
    'learn_every': '20d'}}, 'theory': {'classy': {'extra_args': {'N_ncdm': 
    1, 'N_ur': 2.0328, 'hmcode_min_k_max': 20, 'non linear': 'hmcode'}}},
    'output': 'chains/lcdm_highEE+lowEE+BAO', 'post': {'suffix': 'BAO',
    'add': {'likelihood': {'bao.sdss_dr12_consensus_final': None,
    'bao.sdss_dr7_mgs': None, 'bao.sixdf_2011_bao': None}, 'theory': {
    'classy': {'extra_args': {'N_ncdm': 1, 'N_ur': 2.0328,
    'hmcode_min_k_max': 20, 'non linear': 'hmcode'}}}, ' params': {'h':
    'H0/100', 'chi2__BAO': {'latex': 'chi^2_\\mathrm{BAO}'}}}}}
from cobaya.run import run
updated_info, sampler = run(info)

info = {'likelihood': {'planck_2018_highl_plik.EE':None,
                'planck_2018_lowl.EE': None},
 'params': {'100*theta_s': {'derived': False,
                            'value': 'lambda theta_s_1e2: theta_s_1e2'},
            'A': {'derived': 'lambda A_s: 1e9*A_s',
                  'latex': '10^9 A_\\mathrm{s}'},
            'A_s': {'latex': 'A_\\mathrm{s}',
                    'value': 'lambda logA: 1e-10*np.exp(logA)'},
            'H0': {'latex': 'H_0'},
            'Omega_Lambda': {'latex': '\\Omega_\\Lambda'},
            'Omega_m': {'latex': '\\Omega_\\mathrm{m}'},
            'YHe': {'latex': 'Y_\\mathrm{P}'},
            'age': {'latex': '{\\rm{Age}}/\\mathrm{Gyr}'},
            'clamp': {'derived': 'lambda A_s, tau_reio: '
                                 '1e9*A_s*np.exp(-2*tau_reio)',
                      'latex': '10^9 A_\\mathrm{s} e^{-2\\tau}'},
            'logA': {'drop': True,
                     'latex': '\\log(10^{10} A_\\mathrm{s})',
                     'prior': {'max': 3.91, 'min': 1.61},
                     'proposal': 0.001,
                     'ref': {'dist': 'norm', 'loc': 3.05, 'scale': 0.001}},
            'm_ncdm': {'renames': 'mnu', 'value': 0.06},
            'n_s': {'latex': 'n_\\mathrm{s}',
                    'prior': {'max': 1.2, 'min': 0.8},
                    'proposal': 0.002,
                    'ref': {'dist': 'norm', 'loc': 0.965, 'scale': 0.004}},
            'omega_b': {'latex': '\\Omega_\\mathrm{b} h^2',
                        'prior': {'max': 0.1, 'min': 0.005},
                        'proposal': 0.0001,
                        'ref': {'dist': 'norm',
                                'loc': 0.0224,
                                'scale': 0.0001}},
            'omega_cdm': {'latex': '\\Omega_\\mathrm{c} h^2',
                          'prior': {'max': 0.99, 'min': 0.001},
                          'proposal': 0.0005,
                          'ref': {'dist': 'norm', 'loc': 0.12, 'scale': 0.001}},
            'omegamh2': {'derived': 'lambda Omega_m, H0: Omega_m*(H0/100)**2',
                         'latex': '\\Omega_\\mathrm{m} h^2'},
            'rs_drag': {'latex': 'r_\\mathrm{drag}'},
            's8h5': {'derived': 'lambda sigma8, H0: sigma8*(H0*1e-2)**(-0.5)',
                     'latex': '\\sigma_8/h^{0.5}'},
            's8omegamp25': {'derived': 'lambda sigma8, Omega_m: '
                                       'sigma8*Omega_m**0.25',
                            'latex': '\\sigma_8 \\Omega_\\mathrm{m}^{0.25}'},
            's8omegamp5': {'derived': 'lambda sigma8, Omega_m: '
                                      'sigma8*Omega_m**0.5',
                           'latex': '\\sigma_8 \\Omega_\\mathrm{m}^{0.5}'},
            'sigma8': {'latex': '\\sigma_8'},
            'tau_reio': {'latex': '\\tau_\\mathrm{reio}',
                         'prior': {'max': 0.8, 'min': 0.01},
                         'proposal': 0.003,
                         'ref': {'dist': 'norm', 'loc': 0.055, 'scale': 0.006}},
            'theta_s_1e2': {'drop': True,
                            'latex': '100\\theta_\\mathrm{s}',
                            'prior': {'max': 10, 'min': 0.5},
                            'proposal': 0.0002,
                            'ref': {'dist': 'norm',
                                    'loc': 1.0416,
                                    'scale': 0.0004}},
            'z_reio': {'latex': 'z_\\mathrm{re}'}},
 'sampler': {'mcmc': {'covmat': 'auto',
                      'drag': True,
                      'oversample_power': 0.4,
                      'proposal_scale': 1.9,
                      'learn_every':'20d'}},
 'theory': {'classy': {'extra_args': {'N_ncdm': 1,
                                      'N_ur': 2.0328,
                                      'hmcode_min_k_max': 20,
                                      'non linear': 'hmcode'}}},
 'output':'chains/lcdm_highEE+lowEE+BAO',
 'post': { 'suffix': 'BAO',
           'add': {'likelihood': {'bao.sdss_dr12_consensus_final': None,
                                  'bao.sdss_dr7_mgs': None,
                                  'bao.sixdf_2011_bao': None},
                   'theory':{'classy': {'extra_args':{'N_ncdm': 1,
                                                     'N_ur': 2.0328,
                                                     'hmcode_min_k_max': 20,
                                                      'non linear': 'hmcode'}}},
                  ' params':{'h' : 'H0/100',
                             'chi2__BAO':{'latex': 'chi^2_\\mathrm{BAO}'}}}}}

from cobaya.run import run

updated_info, sampler = run(info)
