###############################################
# UQ Environment
###############################################
env_help                 = 1
env_numSubEnvironments   = 1
env_subDisplayFileName   = test_output_gaussian_likelihoods/display
env_subDisplayAllowAll   = 0
env_subDisplayAllowedSet = 0
env_displayVerbosity     = 1000
env_syncVerbosity        = 0
env_seed                 = 0

###############################################
# Statistical inverse problem (ip)
###############################################
ip_help                 = anything
ip_computeSolution      = 1
ip_dataOutputFileName   = test_output_gaussian_likelihoods/sipOutput
ip_dataOutputAllowedSet = 0

###############################################
# 'ip_': information for Metropolis-Hastings algorithm
###############################################
ip_mh_help                 = anything
ip_mh_dataOutputFileName   = test_output_gaussian_likelihoods/sipOutput
ip_mh_dataOutputAllowedSet = 0 1

ip_mh_rawChain_dataInputFileName    = .
ip_mh_rawChain_size                 = 1
ip_mh_rawChain_generateExtra        = 0
ip_mh_rawChain_displayPeriod        = 2000
ip_mh_rawChain_measureRunTimes      = 1
ip_mh_rawChain_dataOutputFileName   = test_output_gaussian_likelihoods/ip_raw_chain
ip_mh_rawChain_dataOutputAllowedSet = 0 1
ip_mh_rawChain_computeStats         = 1

ip_mh_displayCandidates             = 0
ip_mh_putOutOfBoundsInChain         = 0
ip_mh_tk_useLocalHessian            = 0
ip_mh_tk_useNewtonComponent         = 0
ip_mh_dr_maxNumExtraStages          = 0
ip_mh_dr_listOfScalesForExtraStages = 5. 10. 20.
ip_mh_am_initialNonAdaptInterval    = 10
ip_mh_am_adaptInterval              = 1
ip_mh_am_eta                        = 0.384
ip_mh_am_epsilon                    = 1.e-5

ip_mh_filteredChain_generate        = 0
