def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_Patient steps += 1 score_temp = lib.score_generic(d, "SimilarityForRigidlyMappedRoiGeometry") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.get_score( d.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_Patient steps += 1 score_temp = lib.score_generic(d, "CopyMultipleExplorationPlansToPlanList") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.get_score(d.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_Patient steps += 1 score_temp = lib.score_generic( d, "SetRegistrationAsTreatmentPositionAlignment") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.get_score( d.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_Patient 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"), "[]") 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"), "Examinations") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic(d, "CreateBreastPlan") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.get_score( d.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_Patient 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 = 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"), "TreatmentPlans") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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"), "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").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"), "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").get("value"), "PatientModel") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic( d, "TransformPointFromExaminationToExaminationUsingTotalTransform") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.get_score( d.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_Patient steps += 1 score_temp = lib.score_generic(d, "ImportDeformableRegistrationFromFile") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.get_score(d.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_Patient 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"), "[]") 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic(d, "SetMarginExpression") 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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"), "[]") 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic(d, "GetDoseGridRoi") 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic(d, "CopyClinicalGoal") 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic(d, "ComputeDoseOnAdditionalSets") 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic(d, "SetImagingSystemReference") 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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"), "[]") 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "Examinations") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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"), "[]") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value").get("value"), "Examinations") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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 = 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"), "TreatmentPlans") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic(d, "EditRoiLineWidthVisualization") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic(d, "CalculateGammaForFractionDose") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic(d, "ImportDicomDataFromRepository") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient steps += 1 score_temp = lib.score_generic(d, "SetPoiVisibility") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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 = 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"), "TreatmentPlans") 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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_Patient 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 = 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"), "Cases") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_Patient.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)