def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Case steps += 1 score_temp = lib.score_generic(d, "MapPoiGeometriesRigidly") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "ImageSimilarityForRigidRegistration") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "GetTransformForExaminations") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "CopyExplorationPlanToPlanList") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "CreateNewDeformableRegistration") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "OutlineMbsMesh") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic( d, "DeleteRegistrationCreatedByTreatmentPositionAlignment") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "CreateTreatmentPlanFromValidationDataSet") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "RunReduceOARDoseOptimization") 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"), "PlanOptimizations") 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"), "TreatmentPlans") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "DeleteDoseSpecificationPoint") 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"), "BeamSets") 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"), "TreatmentPlans") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case 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"), "OutlineRoiGeometry") 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"), "StructureSets") 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"), "PatientModel") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "CreateReportFromTemplateFile") 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"), "BeamSets") 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"), "TreatmentPlans") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case 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"), "OutlineRoiGeometry") 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"), "StructureSets") 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"), "PatientModel") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case 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"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value"), "StructureSets") 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"), "PatientModel") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "AdaptMeshToGeometryAndStoreAsNewRoi") 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"), "StructureSets") 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"), "PatientModel") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case 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"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic( d.get("value").get("value"), "PointsOfInterest") 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"), "PatientModel") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "DeleteClinicalGoal") 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"), "TreatmentCourse") 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"), "TreatmentDelivery") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "SetWeightedDose") 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"), "TreatmentCourse") 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"), "TreatmentDelivery") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "CreatePoisFromFiducialMarkers") 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"), "StructureSets") 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"), "PatientModel") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "CreateCylinderGeometry") 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"), "HiddenRegionsOfInterest") 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"), "CaseSettings") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "GrayLevelThreshold") 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"), "PointsOfInterest") 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"), "PatientModel") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "SetCtToDensityTableForCbctImage") 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"), "[]") 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"), "Examinations") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "ImportSegmentationAsMetaImage") 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"), "StructureSets") 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"), "PatientModel") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "GetDoseAtRelativeVolumesForAccumulatedDeliveredDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "TreatmentDelivery") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.get_score(d.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_Case steps += 1 score_temp = lib.score_generic(d, "UpdateDerivedGeometries") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "PatientModel") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.get_score(d.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_Case steps += 1 score_temp = lib.score_generic(d, "GetAlgorithmSettingsForHybridDIR") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "PatientModel") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.get_score(d.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_Case 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 = 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"), "TreatmentPlans") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "CreateCylinderGeometry") 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 = 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"), "TreatmentPlans") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case steps += 1 score_temp = lib.score_generic(d, "GetBEVImage") 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 = 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"), "TreatmentPlans") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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_Case 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"), "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 = 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"), "TreatmentPlans") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Case.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)