def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "CreateArcBeam") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score(d.get("value").get("value").get("value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "ApplyClinicalGoalTemplate") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "BiologyEvaluation") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value"), "TreatmentCourseSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "PlanOptimizations") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "InterpolateDoseInPoints") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "TotalDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value"), "TreatmentCourseSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "PlanOptimizations") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "SetIsocenter") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "Beams") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "AddNewAdaptedBeamSet") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score(d.get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "SetReportViewPositions") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score(d.get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "PreparePlanForDelivery") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score(d.get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "UnsetBeamSetsToOptimizeSimultaneously") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score(d.get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic( d, "SetDensityDistributionFromImportedMetaImage") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score(d.get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "SaveRobustnessParameters") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OptimizationParameters") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "PlanOptimizations") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "ComputeDeliveryDoseWithDeformation") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "TreatmentCourseSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "PlanOptimizations") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "AdaptMbsMesh") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OfPoi") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "ApprovedPoiStructures") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "DependentApprovedStructureSet") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "GetResampledPETValues") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "ImageStack") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "Series") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "FromExamination") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "OnDensity") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "CreateDirectionalMarginGeometry") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OnStructure") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "DosePrescriptions") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "Prescription") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "SetDoseSpecificationPoint") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "SetupBeams") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "PatientSetup") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "EditBeamOptimizationSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "BeamSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "TreatmentSetupSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "OptimizationParameters") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "PlanOptimizations") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "SetRepresentation") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OfRoiGeometry") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value"), "PrescriptionDoseGridRoiSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "AutoScaleManagers") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "PlanOptimizations") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "CreateHybridDeformableRegistrationGroup") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "RoiListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "OnDensity") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "ExportRoiGeometryAsMetaImageWithSpecifiedGridSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "BoliRoiGeometries") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic( d, "GetAffineTransformationParametersGivenCenterOfRotation") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "FromExamination") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "OnDensity") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "CreateDirectionalMarginGeometry") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OfRoi") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "ApprovedRoiStructures") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "DependentApprovedStructureSet") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "SetAlgebraExpression") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OfRoi") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "RoiGeometry") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "DensityOverrides") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "OnDensity") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "GetRelativeVolumeAtDoseValues") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OfDoseDistribution") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "ConstituentFunctions") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "Objective") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "PlanOptimizations") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "WriteStoredDicomDataSetToFileForVerification") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "FromExamination") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "OnDensity") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score(d.get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "CreateControllingRoiGeometry") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "Boli") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "Beams") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "CreateFieldOfViewROI") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OfRoi") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value"), "OutlineGeometry") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "OnDensity") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "CopyCtToDensityTableFromAnotherCbctImage") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "EquipmentInfo") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value"), "FromExamination") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "OnDensity") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "GetDoseAtRelativeVolumes") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic( d, "SetRoiGeometryRepresentationToTriangleMesh") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OutlineSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "OnDensity") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)
def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Plan steps += 1 score_temp = lib.score_generic(d, "RoiSurfaceToSurfaceDistanceBasedOnDT") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OutlineSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "OnDensity") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value"), "BeamDoses") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value"), "FractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value"), "BeamListSource") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value"), "DrrSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value"), "BeamSets") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Plan.get_score( d.get("value").get("value").get("value").get("value").get("value").get( "value").get("value").get("value").get("value").get("value").get( "value")) if score_temp == sys.maxint: return sys.maxint else: score += score_temp return float(score) / float(steps)