def dictMatchScore_0(d): import sys score = 0 steps = 0 from bases import score_PatientDB steps += 1 score_temp = lib.score_generic(d, "CreateElectronBeam") 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"), "TreatmentSetups") 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"), "TemplateTreatmentSetups") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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_PatientDB 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"), "OptimizationProblem") 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"), "TemplateTreatmentOptimizations") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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_PatientDB 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"), "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"), "[]") 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"), "TemplatePatientModels") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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_PatientDB steps += 1 score_temp = lib.score_generic(d, "AdaptMbsMeshes") 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 = 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"), "TemplatePatientModels") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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_PatientDB 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 = 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"), "TemplatePatientModels") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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_PatientDB 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"), "OnExamination") 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"), "TemplatePatientModels") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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_PatientDB 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"), "OnExamination") 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 = 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"), "TemplatePatientModels") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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_PatientDB steps += 1 score_temp = lib.score_generic( d, "SetTreatmentPositionAlignmentRegistration") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = lib.score_generic(d.get("value"), "OnExamination") 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 = 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"), "TemplatePatientModels") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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_PatientDB 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"), "OnExamination") 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"), "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").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").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"), "TemplatePatientModels") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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_PatientDB 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"), "RoiGeometries") 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"), "TemplatePatientModels") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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_PatientDB 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"), "OnExamination") 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 = 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"), "TemplatePatientModels") if score_temp == sys.maxint: return sys.maxint else: score += score_temp steps += 1 score_temp = score_PatientDB.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)