#inferencemethod max_display_level detailed tracing for all inference methods #bn_ chr query( ,{}#bn_ chr query( ,{}#bn_ chr query( ,{ :true}#bn_ chr query( ,{ :true, :false} from probgraphicalmodels import bn_report,alarm,fire,leaving,report,smoke,tamper bn_reportr rejectionsampling(bn_reportanswers queries using rejection sampling bn_reportl likelihoodweighting(bn_reportanswers queries using likelihood weighting bn_reportp particlefiltering(bn_reportanswers queries using particle filtering #bn_reportr query(tamper,{}#bn_reportr query(tamper,{}#bn_reportr query(tamper,{report:true}#inferencemethod max_display_level no detailed tracing for all inference methods #bn_reportr query(tamper,{report:true},number_samples= #bn_reportr query(tamper,{report:true,smoke:false}#bn_reportr query(tamper,{report:true,smoke:false},number_samples= #bn_reportl query(tamper,{report:true,smoke:false},number_samples= #bn_reportl query(tamper,{report:true,smoke:false},number_samples= from probgraphicalmodels import bn_sprinkler,seasonsprinkler from probgraphicalmodels import rainedgrass_wetgrass_shinyshoes_wet bn_sprinklerr rejectionsampling(bn_sprinkleranswers queries using rejection sampling bn_sprinklerl likelihoodweighting(bn_sprinkleranswers queries using rejection sampling bn_sprinklerp particlefiltering(bn_sprinkleranswers queries using particle filtering #bn_sprinklerr query(shoes_wet,{grass_shiny:true,rained:true}#bn_sprinklerl query(shoes_wet,{grass_shiny:true,rained:true}#bn_sprinklerp query(shoes_wet,{grass_shiny:true,rained:true} if __name__ ="__main__"inferencemethod testim(rejectionsamplingthreshold= inferencemethod testim(likelihoodweightingthreshold= inferencemethod testim(particlefilteringthreshold= exercise this code keeps regenerating the distribution of variable given its parents implement one or both of the followingand compare them to the original make cond dist return slice that corresponds to the distributionand then use the slice instead of the dictionary ( list slice does not generate new data structuresmake cond dist remember values it has already computedand only return these version june