diff --git a/.gigaide/gigaide.properties b/.gigaide/gigaide.properties
new file mode 100644
index 0000000..652f4a7
--- /dev/null
+++ b/.gigaide/gigaide.properties
@@ -0,0 +1,1246 @@
+## changed at Sun Dec 15 17:50:53 MSK 2024
+#Sun Dec 15 17:50:53 MSK 2024
+com.gigaide.elements.ext.marker.solution.BeanMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.ConfigMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.DataMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.EndpointMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.EntryMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.FactoryMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.MessageMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.TaskMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.TransactionMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.type.AnnotationTypePsi.shouldMark=true
+com.gigaide.elements.ext.marker.type.CallTypePsi.shouldMark=true
+com.gigaide.elements.ext.marker.type.ImplTypePsi.shouldMark=true
+com.gigaide.elements.ext.menu.ToFrameworkMarkerAction.shouldAct=true
+com.gigaide.elements.ext.menu.ToSolutionMarkerAction.shouldAct=true
+com.gigaide.elements.ext.stack.allure.AddAttachmentCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.AllureIdMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.AttachmentCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.AttachmentMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.DescriptionCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.DescriptionMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.EpicCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.EpicMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.FeatureCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.FeatureMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.IssueCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.IssueMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.IssuesMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.LabelAnnotationAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.LabelCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.LinkCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.OwnerMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.ParameterCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.SeverityLevelMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.SeverityMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.StepCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.StepMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.StoryCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.StoryMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.SuiteCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.TMSCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.TmsLinkMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.TmsLinksMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aopalliance.MethodInterceptorImplementation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.AfterMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.AfterReturningMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.AfterThrowingMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.AroundMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.AspectClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.BeforeMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.DeclareParentsFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.PointcutMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.BladeBeanAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.EJBEJBAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.EJBLocalBeanAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.EJBMessageDrivenAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.EJBSingletonAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.EJBStatelessAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringComponentAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringControllerAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringCrudRepositoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringListCrudRepositoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringListPagingAndSortingRepositoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringPagingAndSortingRepositoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringRepositoryAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringRepositoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringRestControllerAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringServiceAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.AttributeCall.checkElement=true
+com.gigaide.elements.ext.stack.blade.BeanClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.BladeLoaderImplementation.checkElement=true
+com.gigaide.elements.ext.stack.blade.BodyToStringCall.checkElement=true
+com.gigaide.elements.ext.stack.blade.DeleteRouteMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.EnvCall.checkElement=true
+com.gigaide.elements.ext.stack.blade.GetRouteMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.OrderClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.PathClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.PostRouteMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.PutRouteMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.RequestCall.checkElement=true
+com.gigaide.elements.ext.stack.blade.RouteMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.ScheduleMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.TemplateEngineCall.checkElement=true
+com.gigaide.elements.ext.stack.blade.WebHookImplementation.checkElement=true
+com.gigaide.elements.ext.stack.config.AllureParameterCall.checkElement=true
+com.gigaide.elements.ext.stack.config.BladeEnvCall.checkElement=true
+com.gigaide.elements.ext.stack.config.DropwizardConfigurationImpl.checkElement=true
+com.gigaide.elements.ext.stack.config.DropwizardConfiguredCommandImpl.checkElement=true
+com.gigaide.elements.ext.stack.config.DropwizardEnvironmentCommandImpl.checkElement=true
+com.gigaide.elements.ext.stack.data.HibernateEntityAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.data.JPAEntityAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.data.JakartaPAEntityAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.data.SpringTableAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.ApplicationImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.AuthorizerImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.BuildCall.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.CacheControlMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.CommandImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.ConfigurationImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.ConfiguredCommandImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.EnvironmentCommandImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.FilterFactoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.JsonSnakeCaseClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.ManagedImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.PATCHMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.PostBodyTaskImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.TaskImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.UnitOfWorkMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.ValidatedMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.AsynchronousClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.AsynchronousMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.DeclareRolesClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.DependsOnClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.EJBClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.EJBFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.EJBMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.LocalBeanClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.LocalClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.LockClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.LockMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.MessageDrivenBeanImplementation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.MessageDrivenClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.PostActivateClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.PostConstructMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.RemoteClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.RolesAllowedClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.RolesAllowedMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.RunAsClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.ScheduleMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.SchedulesMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.SingletonClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.StartupClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.StatelessClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.TransactionAttributeClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.TransactionAttributeMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.TransactionManagementClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.UserTransactionImplementation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.BladePathAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.JavaxWebServletAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.JaxRsPathAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.JaxWsWebServiceAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.SpringMessageEndpointAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.SpringRestControllerAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.entry.DropwizardApplicationImpl.checkElement=true
+com.gigaide.elements.ext.stack.entry.EJBStartupAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.entry.GwtEntryPointImpl.checkElement=true
+com.gigaide.elements.ext.stack.entry.PlayApplicationLoaderImpl.checkElement=true
+com.gigaide.elements.ext.stack.entry.SpringRunCall.checkElement=true
+com.gigaide.elements.ext.stack.entry.SpringSpringBootApplicationAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.factory.DropwizardBuildCall.checkElement=true
+com.gigaide.elements.ext.stack.factory.EJBEJBAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.factory.SpringBeanAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.EntryPointImplementation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.JavaScriptObjectImplementation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.JsFunctionClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.JsOverlayFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.JsOverlayMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.JsTypeClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.RemoteServiceImplementation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.RemoteServiceRelativePathClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.RemoteServiceServletImplementation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.XsrfProtectedServiceImplementation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.XsrfProtectedServiceServletImplementation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.AnyFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.AnyMetaDefClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.AnyMetaDefFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.AnyMetaDefMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.AnyMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ColumnTransformerFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ColumnTransformerMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ColumnsFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ColumnsMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.CreationTimestampFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.CreationTimestampMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.DiscriminatorFormulaClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.EntityClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.FormulaFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.FormulaMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GeneratedFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GeneratedMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GeneratorTypeFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GeneratorTypeMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GenericGeneratorClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GenericGeneratorFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GenericGeneratorMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ImmutableClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ImmutableFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ImmutableMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.JoinColumnOrFormulaFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.JoinColumnOrFormulaMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.JoinFormulaFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.JoinFormulaMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.LazyToOneFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.LazyToOneMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ManyToAnyFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ManyToAnyMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.MapKeyTypeFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.MapKeyTypeMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NationalizedFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NationalizedMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NaturalIdCacheClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NaturalIdFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NaturalIdMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NotFoundFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NotFoundMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.OrderByFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.OrderByMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ParentFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ParentMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.PersisterClassAnnotation.checkElement=true
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+com.gigaide.elements.ext.stack.hibernate.SubselectClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.SynchronizeClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.TableClassAnnotation.checkElement=true
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+com.gigaide.elements.ext.stack.vaadin.HasStyleImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.HasUrlParameterImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.I18NProviderImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.IdFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.InlineClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.JavaScriptClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.JsModuleClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.LocaleChangeObserverImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.ModelEncoderImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.NoThemeClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.NpmPackageClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.PWAClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.PageConfiguratorImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.PageTitleClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.ParentLayoutClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.PreserveOnRefreshClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.PropertyIdFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.PushClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.ReadBeanCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.RemovePropertyCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.RemoveRouteCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.RouteAliasClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.RouteClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.RoutePrefixClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.RouterLayoutImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SessionDestroyListenerImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SessionInitListenerImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetAttributeCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetBeanCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetEnabledCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetInternalErrorMessageCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetItemLabelGeneratorCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetItemsCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetLabelCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetPropertyCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetRequiredConfiguratorCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetRouteCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetTextCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SetVisibleCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.StyleSheetClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SynchronizeMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SynchronizePropertyCall.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.SystemMessagesProviderImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.TagClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.TemplateModelImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.ThemeClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.VaadinServiceInitListenerImplementation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.VaadinServletConfigurationClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.ViewportClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.vaadin.WithValidatorCall.checkElement=true
+com.gigaide.elements.ext.view.DefaultBlade.shouldUse=true
+com.gigaide.elements.ext.view.DefaultFrameElement.shouldUse=true
+com.gigaide.elements.ext.view.DefaultFrameMarker.shouldUse=true
+com.gigaide.elements.ext.view.DefaultFramework.shouldUse=true
+com.gigaide.elements.ext.view.DefaultJPA.shouldUse=true
+com.gigaide.elements.ext.view.DefaultJaxRs.shouldUse=true
+com.gigaide.elements.ext.view.DefaultJaxWs.shouldUse=true
+com.gigaide.elements.ext.view.DefaultSolution.shouldUse=true
+com.gigaide.elements.ext.view.DefaultSolutionElement.shouldUse=true
+com.gigaide.elements.ext.view.DefaultSolutionMarker.shouldUse=true
+com.gigaide.elements.ext.view.DefaultSpringFramework.shouldUse=true
+com.gigaide.elements.ext.view.ExplorerFrameElement.shouldUse=true
+com.gigaide.elements.ext.view.ExplorerFrameMarker.shouldUse=true
+com.gigaide.elements.ext.view.ExplorerSolutionElement.shouldUse=true
+com.gigaide.elements.ext.view.ExplorerSolutionMarker.shouldUse=true
+com.gigaide.elements.service.marker.config.MarkerConfigHolder.analyzePriority=false
+com.gigaide.elements.service.marker.config.MarkerConfigHolder.autoAnalize=false
+com.gigaide.elements.service.stack.config.StackConfigHolder.autoAnalize=false
+com.gigaide.elements.service.stack.config.StackConfigHolder.autoLoad=false
+com.gigaide.elements.service.stack.config.StackConfigHolder.autoLoadableNotify=false
+com.gigaide.elements.service.stack.config.StackConfigHolder.includeTests=false
diff --git a/hc/.gigaide/gigaide.properties b/hc/.gigaide/gigaide.properties
new file mode 100644
index 0000000..3e2f182
--- /dev/null
+++ b/hc/.gigaide/gigaide.properties
@@ -0,0 +1,1246 @@
+## changed at Sun Dec 15 17:51:08 MSK 2024
+#Sun Dec 15 17:51:08 MSK 2024
+com.gigaide.elements.ext.marker.solution.BeanMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.ConfigMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.DataMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.EndpointMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.EntryMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.FactoryMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.MessageMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.TaskMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.solution.TransactionMarkedPsi.shouldMark=true
+com.gigaide.elements.ext.marker.type.AnnotationTypePsi.shouldMark=true
+com.gigaide.elements.ext.marker.type.CallTypePsi.shouldMark=true
+com.gigaide.elements.ext.marker.type.ImplTypePsi.shouldMark=true
+com.gigaide.elements.ext.menu.ToFrameworkMarkerAction.shouldAct=true
+com.gigaide.elements.ext.menu.ToSolutionMarkerAction.shouldAct=true
+com.gigaide.elements.ext.stack.allure.AddAttachmentCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.AllureIdMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.AttachmentCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.AttachmentMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.DescriptionCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.DescriptionMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.EpicCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.EpicMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.FeatureCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.FeatureMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.IssueCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.IssueMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.IssuesMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.LabelAnnotationAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.LabelCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.LinkCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.OwnerMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.ParameterCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.SeverityLevelMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.SeverityMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.StepCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.StepMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.StoryCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.StoryMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.SuiteCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.TMSCall.checkElement=true
+com.gigaide.elements.ext.stack.allure.TmsLinkMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.allure.TmsLinksMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aopalliance.MethodInterceptorImplementation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.AfterMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.AfterReturningMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.AfterThrowingMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.AroundMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.AspectClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.BeforeMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.DeclareParentsFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.aspectj.PointcutMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.BladeBeanAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.EJBEJBAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.EJBLocalBeanAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.EJBMessageDrivenAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.EJBSingletonAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.EJBStatelessAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringComponentAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringControllerAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringCrudRepositoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringListCrudRepositoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringListPagingAndSortingRepositoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringPagingAndSortingRepositoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringRepositoryAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringRepositoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringRestControllerAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.bean.SpringServiceAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.AttributeCall.checkElement=true
+com.gigaide.elements.ext.stack.blade.BeanClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.BladeLoaderImplementation.checkElement=true
+com.gigaide.elements.ext.stack.blade.BodyToStringCall.checkElement=true
+com.gigaide.elements.ext.stack.blade.DeleteRouteMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.EnvCall.checkElement=true
+com.gigaide.elements.ext.stack.blade.GetRouteMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.OrderClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.PathClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.PostRouteMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.PutRouteMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.RequestCall.checkElement=true
+com.gigaide.elements.ext.stack.blade.RouteMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.ScheduleMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.blade.TemplateEngineCall.checkElement=true
+com.gigaide.elements.ext.stack.blade.WebHookImplementation.checkElement=true
+com.gigaide.elements.ext.stack.config.AllureParameterCall.checkElement=true
+com.gigaide.elements.ext.stack.config.BladeEnvCall.checkElement=true
+com.gigaide.elements.ext.stack.config.DropwizardConfigurationImpl.checkElement=true
+com.gigaide.elements.ext.stack.config.DropwizardConfiguredCommandImpl.checkElement=true
+com.gigaide.elements.ext.stack.config.DropwizardEnvironmentCommandImpl.checkElement=true
+com.gigaide.elements.ext.stack.data.HibernateEntityAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.data.JPAEntityAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.data.JakartaPAEntityAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.data.SpringTableAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.ApplicationImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.AuthorizerImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.BuildCall.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.CacheControlMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.CommandImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.ConfigurationImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.ConfiguredCommandImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.EnvironmentCommandImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.FilterFactoryImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.JsonSnakeCaseClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.ManagedImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.PATCHMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.PostBodyTaskImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.TaskImplementation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.UnitOfWorkMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.dropwizard.ValidatedMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.AsynchronousClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.AsynchronousMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.DeclareRolesClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.DependsOnClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.EJBClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.EJBFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.EJBMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.LocalBeanClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.LocalClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.LockClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.LockMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.MessageDrivenBeanImplementation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.MessageDrivenClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.PostActivateClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.PostConstructMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.RemoteClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.RolesAllowedClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.RolesAllowedMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.RunAsClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.ScheduleMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.SchedulesMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.SingletonClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.StartupClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.StatelessClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.TransactionAttributeClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.TransactionAttributeMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.TransactionManagementClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.ejb.UserTransactionImplementation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.BladePathAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.JavaxWebServletAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.JaxRsPathAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.JaxWsWebServiceAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.SpringMessageEndpointAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.endpoint.SpringRestControllerAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.entry.DropwizardApplicationImpl.checkElement=true
+com.gigaide.elements.ext.stack.entry.EJBStartupAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.entry.GwtEntryPointImpl.checkElement=true
+com.gigaide.elements.ext.stack.entry.PlayApplicationLoaderImpl.checkElement=true
+com.gigaide.elements.ext.stack.entry.SpringRunCall.checkElement=true
+com.gigaide.elements.ext.stack.entry.SpringSpringBootApplicationAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.factory.DropwizardBuildCall.checkElement=true
+com.gigaide.elements.ext.stack.factory.EJBEJBAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.factory.SpringBeanAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.EntryPointImplementation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.JavaScriptObjectImplementation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.JsFunctionClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.JsOverlayFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.JsOverlayMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.JsTypeClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.RemoteServiceImplementation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.RemoteServiceRelativePathClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.RemoteServiceServletImplementation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.XsrfProtectedServiceImplementation.checkElement=true
+com.gigaide.elements.ext.stack.gwt.XsrfProtectedServiceServletImplementation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.AnyFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.AnyMetaDefClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.AnyMetaDefFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.AnyMetaDefMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.AnyMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ColumnTransformerFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ColumnTransformerMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ColumnsFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ColumnsMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.CreationTimestampFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.CreationTimestampMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.DiscriminatorFormulaClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.EntityClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.FormulaFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.FormulaMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GeneratedFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GeneratedMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GeneratorTypeFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GeneratorTypeMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GenericGeneratorClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GenericGeneratorFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.GenericGeneratorMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ImmutableClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ImmutableFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ImmutableMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.JoinColumnOrFormulaFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.JoinColumnOrFormulaMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.JoinFormulaFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.JoinFormulaMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.LazyToOneFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.LazyToOneMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ManyToAnyFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ManyToAnyMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.MapKeyTypeFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.MapKeyTypeMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NationalizedFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NationalizedMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NaturalIdCacheClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NaturalIdFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NaturalIdMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NotFoundFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.NotFoundMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.OrderByFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.OrderByMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ParentFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ParentMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.PersisterClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.PersisterFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.PersisterMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.PolymorphismClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.ProxyClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.RowIdClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.SortComparatorFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.SortComparatorMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.SortNaturalFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.SortNaturalMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.SubselectClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.SynchronizeClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.TableClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.TargetFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.TargetMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.TuplizerClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.TuplizerFieldAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.TuplizerMethodAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.TypeDefClassAnnotation.checkElement=true
+com.gigaide.elements.ext.stack.hibernate.TypeFieldAnnotation.checkElement=true
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diff --git a/hc/README.md b/hc/README.md
new file mode 100644
index 0000000..68fae6e
--- /dev/null
+++ b/hc/README.md
@@ -0,0 +1,134 @@
+# Hypergraph Clustering
+
+## Описание
+Библиотека предоставляет инструменты для агломеративной кластеризации гиперграфов. Она включает методы преобразования гиперграфов в матрицы инцидентности и смежности, автоматический выбор количества кластеров, а также метрики оценки качества кластеризации.
+
+Кластеризация гиперграфов полезна в задачах анализа данных, таких как:
+- Социальные сети
+- Транспортные системы
+- Биологические сети
+- Анализ текстов и документов
+
+Библиотека использует возможности `scikit-learn` и `scipy` для вычислений.
+
+---
+
+## Установка
+1. Установите зависимости и проект:
+   ```bash
+   pip install -e .
+   ```
+
+---
+
+## Использование
+
+### Пример 1: Кластеризация гиперграфа с заданным количеством кластеров
+```python
+from hypergraph_clustering.utils.graph_conversion import hypergraph_to_incidence_matrix, incidence_to_adjacency
+from hypergraph_clustering.clustering.agglomerative import AgglomerativeHypergraphClustering
+
+# Пример гиперграфа
+hyperedges = [[0, 1, 2], [1, 2, 3], [3, 4]]
+
+# Преобразуем гиперграф в матрицы
+incidence_matrix = hypergraph_to_incidence_matrix(hyperedges)
+adjacency_matrix = incidence_to_adjacency(incidence_matrix)
+
+# Кластеризация
+clustering = AgglomerativeHypergraphClustering(n_clusters=2)
+labels = clustering.fit(adjacency_matrix)
+
+print("Кластеры:", labels)
+```
+
+### Пример 2: Автоматический выбор количества кластеров
+```python
+from hypergraph_clustering.clustering.auto_clustering import AutoClusterHypergraphClustering
+
+clustering = AutoClusterHypergraphClustering(linkage="average", max_clusters=5, scoring="silhouette")
+labels = clustering.fit(adjacency_matrix)
+
+print("Кластеры:", labels)
+print("Лучшее количество кластеров:", clustering.best_n_clusters)
+print("Оценка:", clustering.best_score)
+```
+
+---
+
+## Теоретическая справка
+
+Пример гиперграфа:
+- Узлы: {0, 1, 2, 3, 4}
+- Гиперрёбра: {{0, 1, 2}, {1, 2, 3}, {3, 4}}
+
+#### Преобразования гиперграфа
+Для применения алгоритмов кластеризации гиперграфы преобразуются:
+1. **Матрица инцидентности**: показывает связь между узлами и гиперрёбрами.
+2. **Матрица смежности**: вычисляется на основе матрицы инцидентности, показывает связи между узлами.
+
+---
+
+### Алгоритмы кластеризации
+
+#### Агломеративная кластеризация
+Метод «снизу вверх», который начинает с представления каждого узла как отдельного кластера и объединяет их итеративно на основе заданного метода связи (`ward`, `complete`, `average`, `single`).
+
+- **Ward**: минимизирует увеличение внутрикластерной дисперсии.
+- **Complete**: учитывает максимальное расстояние между узлами.
+- **Average**: основывается на среднем расстоянии между узлами.
+- **Single**: минимизирует минимальное расстояние между узлами.
+
+#### Автоматический выбор количества кластеров
+Для автоматического выбора количества кластеров используется одна из метрик:
+- **Silhouette**: оценивает, насколько хорошо данные сгруппированы.
+- **Calinski-Harabasz**: измеряет плотность и разделение кластеров.
+- **Davies-Bouldin**: оценивает близость между кластерами (меньше лучше).
+
+---
+
+## Структура проекта
+
+```
+hypergraph_clustering/
+├── clustering/
+│   ├── agglomerative.py          # Класс для агломеративной кластеризации
+│   ├── auto_clustering.py        # Класс для автоматического выбора количества кластеров
+│   └── __init__.py
+├── metrics/
+│   ├── evaluation.py             # Метрики для оценки кластеризации
+│   └── __init__.py
+├── tests/
+│   ├── test_agglomerative.py     # Тесты для агломеративной кластеризации
+│   ├── test_auto_clustering.py   # Тесты для автоматического выбора кластеров
+│   ├── test_graph_conversion.py  # Тесты для преобразования гиперграфов
+│   └── __init__.py
+├── utils/
+│   ├── graph_conversion.py       # Утилиты для работы с гиперграфами
+│   ├── examples.py               # Примеры гиперграфов
+│   └── __init__.py
+├── README.md                     # Документация
+├── setup.py                      # Файл установки
+├── requirements.txt              # Зависимости
+└── data/                         # Примеры гиперграфов в формате JSON
+    ├── social_network.json
+    ├── transport_network.json
+    └── biological_network.json
+```
+
+---
+
+## Тестирование проекта
+Для проверки работоспособности проекта доступны тесты. Запустите их с помощью:
+```bash
+pytest hypergraph_clustering/tests/
+```
+
+---
+
+## Источники
+- [Scikit-learn Documentation](https://scikit-learn.org/stable/)
+- [Silhouette Coefficient](https://en.wikipedia.org/wiki/Silhouette_(clustering))
+- [Agglomerative Clustering](https://en.wikipedia.org/wiki/Hierarchical_clustering)
+
+---
\ No newline at end of file
diff --git a/hc/data/biological_network.json b/hc/data/biological_network.json
new file mode 100644
index 0000000..3d537a0
--- /dev/null
+++ b/hc/data/biological_network.json
@@ -0,0 +1,44 @@
+{
+    "hyperedges": [
+        [
+            0,
+            1,
+            2,
+            3,
+            4
+        ],
+        [
+            2,
+            4,
+            5,
+            6
+        ],
+        [
+            6,
+            7,
+            8,
+            9,
+            10
+        ],
+        [
+            3,
+            8,
+            11,
+            12
+        ],
+        [
+            1,
+            9,
+            10,
+            13,
+            14
+        ],
+        [
+            5,
+            7,
+            12,
+            13
+        ]
+    ],
+    "num_nodes": 15
+}
\ No newline at end of file
diff --git a/hc/data/education_network.json b/hc/data/education_network.json
new file mode 100644
index 0000000..72eeeed
--- /dev/null
+++ b/hc/data/education_network.json
@@ -0,0 +1,38 @@
+{
+    "hyperedges": [
+        [
+            0,
+            1,
+            2
+        ],
+        [
+            2,
+            3,
+            4,
+            5
+        ],
+        [
+            5,
+            6,
+            7
+        ],
+        [
+            3,
+            6,
+            8,
+            9
+        ],
+        [
+            8,
+            9,
+            10
+        ],
+        [
+            1,
+            7,
+            9,
+            10
+        ]
+    ],
+    "num_nodes": 11
+}
\ No newline at end of file
diff --git a/hc/data/electric_network.json b/hc/data/electric_network.json
new file mode 100644
index 0000000..75a5839
--- /dev/null
+++ b/hc/data/electric_network.json
@@ -0,0 +1,39 @@
+{
+    "hyperedges": [
+        [
+            0,
+            1,
+            2
+        ],
+        [
+            2,
+            3,
+            4,
+            5
+        ],
+        [
+            5,
+            6,
+            7
+        ],
+        [
+            3,
+            6,
+            8,
+            9
+        ],
+        [
+            8,
+            9,
+            10,
+            11
+        ],
+        [
+            1,
+            4,
+            7,
+            10
+        ]
+    ],
+    "num_nodes": 12
+}
\ No newline at end of file
diff --git a/hc/data/healthcare_network.json b/hc/data/healthcare_network.json
new file mode 100644
index 0000000..8b2e61f
--- /dev/null
+++ b/hc/data/healthcare_network.json
@@ -0,0 +1,35 @@
+{
+    "hyperedges": [
+        [
+            0,
+            1,
+            2
+        ],
+        [
+            2,
+            3,
+            4
+        ],
+        [
+            4,
+            5,
+            6
+        ],
+        [
+            6,
+            7,
+            8
+        ],
+        [
+            1,
+            4,
+            7
+        ],
+        [
+            0,
+            3,
+            6
+        ]
+    ],
+    "num_nodes": 9
+}
\ No newline at end of file
diff --git a/hc/data/hypergraph_social_network.json b/hc/data/hypergraph_social_network.json
new file mode 100644
index 0000000..5498aea
--- /dev/null
+++ b/hc/data/hypergraph_social_network.json
@@ -0,0 +1,12 @@
+{
+    "hyperedges": [
+      [0, 1, 2],
+      [2, 3, 4, 5],
+      [5, 6, 7],
+      [7, 8, 9, 10],
+      [10, 11, 12],
+      [1, 3, 8, 12]
+    ],
+    "num_nodes": 13
+  }
+  
\ No newline at end of file
diff --git a/hc/data/iot_network.json b/hc/data/iot_network.json
new file mode 100644
index 0000000..8b2e61f
--- /dev/null
+++ b/hc/data/iot_network.json
@@ -0,0 +1,35 @@
+{
+    "hyperedges": [
+        [
+            0,
+            1,
+            2
+        ],
+        [
+            2,
+            3,
+            4
+        ],
+        [
+            4,
+            5,
+            6
+        ],
+        [
+            6,
+            7,
+            8
+        ],
+        [
+            1,
+            4,
+            7
+        ],
+        [
+            0,
+            3,
+            6
+        ]
+    ],
+    "num_nodes": 9
+}
\ No newline at end of file
diff --git a/hc/data/logistics_network.json b/hc/data/logistics_network.json
new file mode 100644
index 0000000..1771b71
--- /dev/null
+++ b/hc/data/logistics_network.json
@@ -0,0 +1,40 @@
+{
+    "hyperedges": [
+        [
+            0,
+            1,
+            2,
+            3
+        ],
+        [
+            3,
+            4,
+            5,
+            6
+        ],
+        [
+            6,
+            7,
+            8
+        ],
+        [
+            1,
+            4,
+            7
+        ],
+        [
+            2,
+            5,
+            8,
+            9,
+            10
+        ],
+        [
+            0,
+            3,
+            7,
+            10
+        ]
+    ],
+    "num_nodes": 14
+}
\ No newline at end of file
diff --git a/hc/data/sample_hypergraph.json b/hc/data/sample_hypergraph.json
new file mode 100644
index 0000000..0fa1c4c
--- /dev/null
+++ b/hc/data/sample_hypergraph.json
@@ -0,0 +1,5 @@
+{
+    "hypergraph_1": [[0, 1, 2], [1, 2, 3], [3, 4]],
+    "hypergraph_2": [[0, 1], [2, 3], [4]],
+    "hypergraph_3": [[0, 1, 2, 3]]
+}
diff --git a/hc/data/social_network.json b/hc/data/social_network.json
new file mode 100644
index 0000000..9f01168
--- /dev/null
+++ b/hc/data/social_network.json
@@ -0,0 +1,38 @@
+{
+    "hyperedges": [
+        [
+            0,
+            1,
+            2
+        ],
+        [
+            2,
+            3,
+            4,
+            5
+        ],
+        [
+            5,
+            6,
+            7
+        ],
+        [
+            7,
+            8,
+            9,
+            10
+        ],
+        [
+            10,
+            11,
+            12
+        ],
+        [
+            1,
+            3,
+            8,
+            12
+        ]
+    ],
+    "num_nodes": 13
+}
\ No newline at end of file
diff --git a/hc/data/supply_chain.json b/hc/data/supply_chain.json
new file mode 100644
index 0000000..8b2e61f
--- /dev/null
+++ b/hc/data/supply_chain.json
@@ -0,0 +1,35 @@
+{
+    "hyperedges": [
+        [
+            0,
+            1,
+            2
+        ],
+        [
+            2,
+            3,
+            4
+        ],
+        [
+            4,
+            5,
+            6
+        ],
+        [
+            6,
+            7,
+            8
+        ],
+        [
+            1,
+            4,
+            7
+        ],
+        [
+            0,
+            3,
+            6
+        ]
+    ],
+    "num_nodes": 9
+}
\ No newline at end of file
diff --git a/hc/data/transport_network.json b/hc/data/transport_network.json
new file mode 100644
index 0000000..2a4bf1d
--- /dev/null
+++ b/hc/data/transport_network.json
@@ -0,0 +1,46 @@
+{
+    "hyperedges": [
+        [
+            0,
+            1,
+            2,
+            3
+        ],
+        [
+            3,
+            4,
+            5,
+            6
+        ],
+        [
+            6,
+            7,
+            8
+        ],
+        [
+            1,
+            4,
+            7
+        ],
+        [
+            2,
+            5,
+            8,
+            9,
+            10
+        ],
+        [
+            10,
+            11,
+            12,
+            13
+        ],
+        [
+            0,
+            13,
+            6,
+            9
+        ]
+    ],
+    "num_nodes": 14
+}
\ No newline at end of file
diff --git a/hc/data/urban_infrastructure.json b/hc/data/urban_infrastructure.json
new file mode 100644
index 0000000..8b2e61f
--- /dev/null
+++ b/hc/data/urban_infrastructure.json
@@ -0,0 +1,35 @@
+{
+    "hyperedges": [
+        [
+            0,
+            1,
+            2
+        ],
+        [
+            2,
+            3,
+            4
+        ],
+        [
+            4,
+            5,
+            6
+        ],
+        [
+            6,
+            7,
+            8
+        ],
+        [
+            1,
+            4,
+            7
+        ],
+        [
+            0,
+            3,
+            6
+        ]
+    ],
+    "num_nodes": 9
+}
\ No newline at end of file
diff --git a/hc/hypergraph_clustering/__init__.py b/hc/hypergraph_clustering/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/hc/hypergraph_clustering/clustering/__init__.py b/hc/hypergraph_clustering/clustering/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/hc/hypergraph_clustering/clustering/agglomerative.py b/hc/hypergraph_clustering/clustering/agglomerative.py
new file mode 100644
index 0000000..ed11379
--- /dev/null
+++ b/hc/hypergraph_clustering/clustering/agglomerative.py
@@ -0,0 +1,138 @@
+from sklearn.cluster import AgglomerativeClustering
+from sklearn.metrics import silhouette_score, calinski_harabasz_score, davies_bouldin_score
+from scipy.spatial.distance import squareform, pdist
+import numpy as np
+
+
+class AgglomerativeHypergraphClustering:
+    def __init__(self, n_clusters=2, linkage="ward", normalize=True):
+        """
+        Класс для агломеративной кластеризации гиперграфов.
+
+        :param n_clusters: Количество кластеров.
+        :param linkage: Метод связи ('ward', 'complete', 'average', 'single').
+        :param normalize: Нормализовать ли матрицу смежности перед кластеризацией.
+        """
+        self.n_clusters = n_clusters
+        self.linkage = linkage
+        self.normalize = normalize
+        self.model = None
+
+    def normalize_adjacency(self, adjacency_matrix):
+        """
+        Нормализует матрицу смежности с использованием нормализации строки.
+
+        :param adjacency_matrix: np.ndarray, матрица смежности.
+        :return: np.ndarray, нормализованная матрица.
+        """
+        row_sums = adjacency_matrix.sum(axis=1, keepdims=True)
+        normalized_matrix = adjacency_matrix / np.maximum(row_sums, 1e-10)
+        return normalized_matrix
+
+    def compute_distance_matrix(self, adjacency_matrix):
+        """
+        Преобразует матрицу смежности в матрицу расстояний.
+
+        :param adjacency_matrix: np.ndarray, матрица смежности.
+        :return: np.ndarray, матрица расстояний.
+        """
+        max_distance = np.max(adjacency_matrix) + 1
+        distance_matrix = np.where(
+            adjacency_matrix > 0,
+            1 / adjacency_matrix,  # Инвертируем веса для положительных значений
+            max_distance  # Устанавливаем большое значение для недостижимых узлов
+        )
+        np.fill_diagonal(distance_matrix, 0)  # Убираем петли
+        return distance_matrix
+
+    def compute_laplacian(self, adjacency_matrix):
+        """
+        Вычисляет матрицу Лапласа графа.
+
+        :param adjacency_matrix: np.ndarray, матрица смежности.
+        :return: np.ndarray, матрица Лапласа.
+        """
+        degree_matrix = np.diag(adjacency_matrix.sum(axis=1))
+        laplacian_matrix = degree_matrix - adjacency_matrix
+        return laplacian_matrix
+
+    def fit(self, adjacency_matrix):
+        """
+        Выполняет кластеризацию на основе матрицы смежности.
+
+        :param adjacency_matrix: np.ndarray, матрица смежности графа.
+        :return: np.ndarray, метки кластеров.
+        """
+        max_distance = np.max(adjacency_matrix) + 1
+
+        # Исправляем проблему деления на ноль
+        distance_matrix = np.zeros_like(adjacency_matrix, dtype=float)
+        non_zero_indices = adjacency_matrix > 0
+        distance_matrix[non_zero_indices] = 1 / adjacency_matrix[non_zero_indices]
+        distance_matrix[~non_zero_indices] = max_distance
+        np.fill_diagonal(distance_matrix, 0)
+
+        if self.linkage == "ward":
+            # Для ward используем матрицу признаков (смежности)
+            self.model = AgglomerativeClustering(
+                n_clusters=self.n_clusters,
+                linkage=self.linkage
+            )
+            labels = self.model.fit_predict(adjacency_matrix)
+        else:
+            # Для остальных методов используем метрику "precomputed"
+            condensed_distance_matrix = squareform(distance_matrix)
+            self.model = AgglomerativeClustering(
+                n_clusters=self.n_clusters,
+                metric="precomputed",
+                linkage=self.linkage
+            )
+            labels = self.model.fit_predict(squareform(condensed_distance_matrix))
+
+        self.labels_ = labels
+        return labels
+
+
+    def evaluate(self, adjacency_matrix):
+        """
+        Оценивает качество кластеризации с использованием различных метрик.
+
+        :param adjacency_matrix: np.ndarray, матрица смежности графа.
+        :return: dict, значения метрик.
+        """
+        if not hasattr(self, "labels_"):
+            raise ValueError("Кластеризация не выполнена. Сначала вызовите fit().")
+
+        metrics = {
+            "silhouette_score": silhouette_score(adjacency_matrix, self.labels_, metric="precomputed"),
+            "calinski_harabasz_score": calinski_harabasz_score(adjacency_matrix, self.labels_),
+            "davies_bouldin_score": davies_bouldin_score(adjacency_matrix, self.labels_),
+        }
+        return metrics
+
+    def spectral_embedding(self, adjacency_matrix, n_components=2):
+        """
+        Выполняет спектральное вложение на основе матрицы Лапласа.
+
+        :param adjacency_matrix: np.ndarray, матрица смежности.
+        :param n_components: int, количество компонент вложения.
+        :return: np.ndarray, спектральные вложения.
+        """
+        laplacian = self.compute_laplacian(adjacency_matrix)
+        eigenvalues, eigenvectors = np.linalg.eigh(laplacian)
+        return eigenvectors[:, :n_components]
+
+    def plot_clusters(self, adjacency_matrix):
+        """
+        Визуализирует кластеры с использованием спектрального вложения.
+
+        :param adjacency_matrix: np.ndarray, матрица смежности.
+        """
+        import matplotlib.pyplot as plt
+        embeddings = self.spectral_embedding(adjacency_matrix)
+        plt.scatter(embeddings[:, 0], embeddings[:, 1], c=self.labels_, cmap="viridis", s=50)
+        plt.title("Clusters Visualization")
+        plt.xlabel("Component 1")
+        plt.ylabel("Component 2")
+        plt.colorbar(label="Cluster")
+        plt.show()
diff --git a/hc/hypergraph_clustering/clustering/auto_clustering.py b/hc/hypergraph_clustering/clustering/auto_clustering.py
new file mode 100644
index 0000000..435c064
--- /dev/null
+++ b/hc/hypergraph_clustering/clustering/auto_clustering.py
@@ -0,0 +1,104 @@
+from sklearn.cluster import AgglomerativeClustering
+from sklearn.metrics import silhouette_score, calinski_harabasz_score, davies_bouldin_score
+import numpy as np
+
+class AutoClusterHypergraphClustering:
+    """
+    Класс для агломеративной кластеризации гиперграфов с автоматическим определением оптимального числа кластеров.
+
+    Этот класс выполняет кластеризацию на основе матрицы смежности графа, автоматически
+    выбирая количество кластеров по заданным метрикам качества. Поддерживает различные методы связи,
+    а также позволяет варьировать максимальное количество кластеров для анализа.
+
+    Атрибуты:
+    ----------
+    linkage : str
+        Метод связи для агломеративного алгоритма ('ward', 'complete', 'average', 'single').
+    
+    max_clusters : int
+        Максимальное число кластеров для анализа, среди которых выбирается оптимальное.
+    
+    scoring : str
+        Метрика для оценки качества кластеризации и выбора наилучшего количества кластеров.
+        Доступны следующие метрики: 'silhouette', 'calinski', 'davies'.
+    
+    best_n_clusters : int
+        Число кластеров, которое было определено как оптимальное.
+    
+    best_score : float
+        Оценка качества кластеризации для выбранного числа кластеров.
+    
+    labels_ : np.ndarray
+        Массив меток кластеров для каждой точки, вычисленных по оптимальной кластеризации.
+
+    Методы:
+    -------
+    fit(adjacency_matrix):
+        Выполняет кластеризацию на основе заданной матрицы смежности, выбирая оптимальное число кластеров.
+    
+    Примечание:
+    -----------
+    Этот класс использует библиотеку sklearn для агломеративной кластеризации и оценки,
+    поэтому ожидается, что входная матрица смежности представлена в формате numpy.ndarray.
+    """
+
+    def __init__(self, linkage="ward", max_clusters=10, scoring="silhouette"):
+        """
+        Класс для агломеративной кластеризации гиперграфов с автоматическим выбором количества кластеров.
+
+        :param linkage: str, метод связи ('ward', 'complete', 'average', 'single').
+        :param max_clusters: int, максимальное количество кластеров для анализа.
+        :param scoring: str, метрика для выбора лучшего количества кластеров ('silhouette', 'calinski', 'davies').
+        """
+        self.linkage = linkage
+        self.max_clusters = max_clusters
+        self.scoring = scoring
+        self.best_n_clusters = None
+        self.best_score = None
+        self.labels_ = None
+
+    def fit(self, adjacency_matrix):
+        """
+        Выполняет кластеризацию на основе матрицы смежности с автоматическим выбором количества кластеров.
+
+        :param adjacency_matrix: np.ndarray, матрица смежности графа.
+        :return: np.ndarray, метки кластеров.
+        """
+        max_distance = np.max(adjacency_matrix) + 1  # Максимальное расстояние
+        distance_matrix = np.where(
+            adjacency_matrix > 0,
+            1 / adjacency_matrix,
+            max_distance
+        )
+        np.fill_diagonal(distance_matrix, 0)
+
+        scores = []
+        for n_clusters in range(2, self.max_clusters + 1):
+            model = AgglomerativeClustering(
+                n_clusters=n_clusters,
+                metric="precomputed" if self.linkage != "ward" else None,
+                linkage=self.linkage
+            )
+            labels = model.fit_predict(distance_matrix if self.linkage != "ward" else adjacency_matrix)
+
+            # Оценка качества кластеризации
+            if self.scoring == "silhouette":
+                score = silhouette_score(distance_matrix if self.linkage != "ward" else adjacency_matrix, labels)
+            elif self.scoring == "calinski":
+                score = calinski_harabasz_score(adjacency_matrix, labels)
+            elif self.scoring == "davies":
+                score = -davies_bouldin_score(adjacency_matrix, labels)  # Отрицательное значение, чтобы максимизировать
+            else:
+                raise ValueError(f"Неизвестная метрика оценки: {self.scoring}")
+
+            scores.append((n_clusters, score))
+
+        # Находим лучшее количество кластеров
+        self.best_n_clusters, self.best_score = max(scores, key=lambda x: x[1])
+        self.model = AgglomerativeClustering(
+            n_clusters=self.best_n_clusters,
+            metric="precomputed" if self.linkage != "ward" else None,
+            linkage=self.linkage
+        )
+        self.labels_ = self.model.fit_predict(distance_matrix if self.linkage != "ward" else adjacency_matrix)
+        return self.labels_
diff --git a/hc/hypergraph_clustering/metrics/evaluation.py b/hc/hypergraph_clustering/metrics/evaluation.py
new file mode 100644
index 0000000..1aae8da
--- /dev/null
+++ b/hc/hypergraph_clustering/metrics/evaluation.py
@@ -0,0 +1,15 @@
+from sklearn.metrics import silhouette_score, calinski_harabasz_score, davies_bouldin_score
+
+def evaluate_clustering(adjacency_matrix, labels):
+    """
+    Оценивает качество кластеризации.
+
+    :param adjacency_matrix: np.ndarray, матрица смежности.
+    :param labels: np.ndarray, метки кластеров.
+    :return: dict, значения метрик.
+    """
+    return {
+        "silhouette_score": silhouette_score(adjacency_matrix, labels, metric="precomputed"),
+        "calinski_harabasz_score": calinski_harabasz_score(adjacency_matrix, labels),
+        "davies_bouldin_score": davies_bouldin_score(adjacency_matrix, labels),
+    }
diff --git a/hc/hypergraph_clustering/tests/__init__.py b/hc/hypergraph_clustering/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/hc/hypergraph_clustering/tests/test_agglomerative.py b/hc/hypergraph_clustering/tests/test_agglomerative.py
new file mode 100644
index 0000000..ae161f2
--- /dev/null
+++ b/hc/hypergraph_clustering/tests/test_agglomerative.py
@@ -0,0 +1,28 @@
+import pytest
+import json
+import os
+import numpy as np
+from hypergraph_clustering.utils.graph_conversion import hypergraph_to_incidence_matrix, incidence_to_adjacency
+from hypergraph_clustering.clustering.agglomerative import AgglomerativeHypergraphClustering
+
+# Путь к JSON-файлам
+DATA_DIR = "data"
+
+@pytest.mark.parametrize("filename", [
+    "social_network.json",
+    "transport_network.json",
+    "biological_network.json"
+])
+@pytest.mark.parametrize("linkage", ["ward", "complete", "average", "single"])
+def test_agglomerative_clustering(filename, linkage):
+    with open(os.path.join(DATA_DIR, filename), "r") as f:
+        hypergraph = json.load(f)
+
+    incidence_matrix = hypergraph_to_incidence_matrix(hypergraph["hyperedges"])
+    adjacency_matrix = incidence_to_adjacency(incidence_matrix)
+
+    clustering = AgglomerativeHypergraphClustering(n_clusters=2, linkage=linkage)
+    labels = clustering.fit(adjacency_matrix)
+
+    assert len(labels) == adjacency_matrix.shape[0]
+    assert set(labels).issubset({0, 1})
diff --git a/hc/hypergraph_clustering/tests/test_auto_clustering.py b/hc/hypergraph_clustering/tests/test_auto_clustering.py
new file mode 100644
index 0000000..aa6b5da
--- /dev/null
+++ b/hc/hypergraph_clustering/tests/test_auto_clustering.py
@@ -0,0 +1,26 @@
+import os
+import pytest
+import json
+import numpy as np
+from hypergraph_clustering.clustering.auto_clustering import AutoClusterHypergraphClustering
+from hypergraph_clustering.utils.graph_conversion import hypergraph_to_incidence_matrix, incidence_to_adjacency
+
+DATA_DIR = "data"
+
+@pytest.mark.parametrize("filename", [
+    "social_network.json",
+    "transport_network.json"
+])
+def test_auto_clustering(filename):
+    with open(os.path.join(DATA_DIR, filename), "r") as f:
+        hypergraph = json.load(f)
+
+    incidence_matrix = hypergraph_to_incidence_matrix(hypergraph["hyperedges"])
+    adjacency_matrix = incidence_to_adjacency(incidence_matrix)
+
+    clustering = AutoClusterHypergraphClustering(linkage="average", max_clusters=5, scoring="silhouette")
+    labels = clustering.fit(adjacency_matrix)
+
+    assert len(labels) == adjacency_matrix.shape[0]
+    assert clustering.best_n_clusters is not None
+    assert clustering.best_score is not None
diff --git a/hc/hypergraph_clustering/tests/test_evaluation.py b/hc/hypergraph_clustering/tests/test_evaluation.py
new file mode 100644
index 0000000..62868b1
--- /dev/null
+++ b/hc/hypergraph_clustering/tests/test_evaluation.py
@@ -0,0 +1,29 @@
+import pytest
+import json
+import os
+import numpy as np
+from hypergraph_clustering.utils.graph_conversion import hypergraph_to_incidence_matrix, incidence_to_adjacency
+from hypergraph_clustering.clustering.agglomerative import AgglomerativeHypergraphClustering
+from hypergraph_clustering.metrics.evaluation import evaluate_clustering
+
+DATA_DIR = "data"
+
+@pytest.mark.parametrize("filename", [
+    "social_network.json",
+    "transport_network.json"
+])
+def test_evaluation_metrics(filename):
+    with open(os.path.join(DATA_DIR, filename), "r") as f:
+        hypergraph = json.load(f)
+
+    incidence_matrix = hypergraph_to_incidence_matrix(hypergraph["hyperedges"])
+    adjacency_matrix = incidence_to_adjacency(incidence_matrix)
+
+    clustering = AgglomerativeHypergraphClustering(n_clusters=2, linkage="ward")
+    labels = clustering.fit(adjacency_matrix)
+
+    metrics = evaluate_clustering(adjacency_matrix, labels)
+
+    assert metrics["silhouette_score"] >= -1 and metrics["silhouette_score"] <= 1
+    assert metrics["calinski_harabasz_score"] > 0
+    assert metrics["davies_bouldin_score"] > 0
diff --git a/hc/hypergraph_clustering/tests/test_graph_conversion.py b/hc/hypergraph_clustering/tests/test_graph_conversion.py
new file mode 100644
index 0000000..2d0c247
--- /dev/null
+++ b/hc/hypergraph_clustering/tests/test_graph_conversion.py
@@ -0,0 +1,42 @@
+import pytest
+import json
+import os
+from hypergraph_clustering.utils.graph_conversion import hypergraph_to_incidence_matrix, incidence_to_adjacency
+
+# Путь к JSON-файлам
+DATA_DIR = "data"
+
+@pytest.mark.parametrize("filename", [
+    "biological_network.json",
+    "electric_network.json"
+])
+def test_hypergraph_to_incidence_matrix(filename):
+    # Загружаем гиперграф из JSON
+    with open(os.path.join(DATA_DIR, filename), "r") as f:
+        hypergraph = json.load(f)
+
+    # Преобразуем гиперграф в матрицу инцидентности
+    incidence_matrix = hypergraph_to_incidence_matrix(hypergraph["hyperedges"])
+
+    # Проверки
+    assert incidence_matrix.shape[0] == hypergraph["num_nodes"]
+    assert incidence_matrix.shape[1] == len(hypergraph["hyperedges"])
+    assert incidence_matrix.sum() == sum(len(edge) for edge in hypergraph["hyperedges"])
+
+@pytest.mark.parametrize("filename", [
+    "biological_network.json",
+    "electric_network.json"
+])
+def test_incidence_to_adjacency(filename):
+    # Загружаем гиперграф из JSON
+    with open(os.path.join(DATA_DIR, filename), "r") as f:
+        hypergraph = json.load(f)
+
+    # Преобразуем гиперграф в матрицу инцидентности и затем в матрицу смежности
+    incidence_matrix = hypergraph_to_incidence_matrix(hypergraph["hyperedges"])
+    adjacency_matrix = incidence_to_adjacency(incidence_matrix)
+
+    # Проверки
+    assert adjacency_matrix.shape[0] == adjacency_matrix.shape[1]
+    assert adjacency_matrix.sum() > 0
+    assert (adjacency_matrix.diagonal() == 0).all()
diff --git a/hc/hypergraph_clustering/tests/test_visualization.py b/hc/hypergraph_clustering/tests/test_visualization.py
new file mode 100644
index 0000000..a4c6983
--- /dev/null
+++ b/hc/hypergraph_clustering/tests/test_visualization.py
@@ -0,0 +1,44 @@
+import pytest
+import os
+import json
+import numpy as np
+from hypergraph_clustering.visualization.plot import plot_hypergraph, plot_clusters
+from hypergraph_clustering.utils.graph_conversion import hypergraph_to_incidence_matrix, incidence_to_adjacency
+from hypergraph_clustering.clustering.agglomerative import AgglomerativeHypergraphClustering
+
+DATA_DIR = "data"
+
+@pytest.mark.parametrize("filename", [
+    "social_network.json",
+    "transport_network.json",
+])
+def test_plot_hypergraph(filename):
+    """
+    Тестирует построение гиперграфа.
+    """
+    filepath = os.path.join(DATA_DIR, filename)
+    with open(filepath, "r") as f:
+        hypergraph = json.load(f)
+
+    hyperedges = hypergraph["hyperedges"]
+    plot_hypergraph(hyperedges, title=f"Hypergraph: {filename}")
+
+@pytest.mark.parametrize("filename", [
+    "social_network.json",
+    "transport_network.json",
+])
+def test_plot_clusters(filename):
+    """
+    Тестирует визуализацию кластеров.
+    """
+    filepath = os.path.join(DATA_DIR, filename)
+    with open(filepath, "r") as f:
+        hypergraph = json.load(f)
+
+    incidence_matrix = hypergraph_to_incidence_matrix(hypergraph["hyperedges"])
+    adjacency_matrix = incidence_to_adjacency(incidence_matrix)
+
+    clustering = AgglomerativeHypergraphClustering(n_clusters=2, linkage="ward")
+    labels = clustering.fit(adjacency_matrix)
+
+    plot_clusters(adjacency_matrix, labels, title=f"Clusters: {filename}")
diff --git a/hc/hypergraph_clustering/utils/__init__.py b/hc/hypergraph_clustering/utils/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/hc/hypergraph_clustering/utils/examples.py b/hc/hypergraph_clustering/utils/examples.py
new file mode 100644
index 0000000..2a256cd
--- /dev/null
+++ b/hc/hypergraph_clustering/utils/examples.py
@@ -0,0 +1,6 @@
+import json
+
+def load_hypergraphs(file_path="data/sample_hypergraph.json"):
+    with open(file_path, "r") as f:
+        data = json.load(f)
+    return data
diff --git a/hc/hypergraph_clustering/utils/graph_conversion.py b/hc/hypergraph_clustering/utils/graph_conversion.py
new file mode 100644
index 0000000..78ee2d9
--- /dev/null
+++ b/hc/hypergraph_clustering/utils/graph_conversion.py
@@ -0,0 +1,30 @@
+import networkx as nx
+import numpy as np
+
+def hypergraph_to_incidence_matrix(hyperedges):
+    """
+    Преобразует гиперграф в матрицу инцидентности.
+    
+    :param hyperedges: Список гиперребер (каждое гиперребро — список вершин).
+    :return: np.ndarray, матрица инцидентности.
+    """
+    nodes = sorted(set(node for edge in hyperedges for node in edge))
+    node_index = {node: i for i, node in enumerate(nodes)}
+    incidence_matrix = np.zeros((len(nodes), len(hyperedges)))
+    
+    for j, edge in enumerate(hyperedges):
+        for node in edge:
+            incidence_matrix[node_index[node], j] = 1
+            
+    return incidence_matrix
+
+def incidence_to_adjacency(incidence_matrix):
+    """
+    Преобразует матрицу инцидентности в матрицу смежности графа.
+    
+    :param incidence_matrix: np.ndarray, матрица инцидентности.
+    :return: np.ndarray, матрица смежности.
+    """
+    adjacency_matrix = np.dot(incidence_matrix, incidence_matrix.T)
+    np.fill_diagonal(adjacency_matrix, 0)  # Убираем петли
+    return adjacency_matrix
diff --git a/hc/hypergraph_clustering/visualization/plot.py b/hc/hypergraph_clustering/visualization/plot.py
new file mode 100644
index 0000000..a858f23
--- /dev/null
+++ b/hc/hypergraph_clustering/visualization/plot.py
@@ -0,0 +1,60 @@
+import matplotlib.pyplot as plt
+import networkx as nx
+import numpy as np
+
+def plot_hypergraph(hyperedges, node_colors=None, title="Hypergraph Visualization"):
+    """
+    Визуализирует гиперграф.
+
+    :param hyperedges: list of lists, гиперребра гиперграфа.
+    :param node_colors: dict, цвета для узлов (по умолчанию одинаковые для всех).
+    :param title: str, заголовок графика.
+    """
+    G = nx.Graph()
+
+    # Добавляем узлы и гиперребра
+    for idx, edge in enumerate(hyperedges):
+        for node in edge:
+            G.add_node(node)
+        G.add_edges_from([(edge[i], edge[j]) for i in range(len(edge)) for j in range(i + 1, len(edge))])
+
+    # Определяем цвета узлов
+    if node_colors is None:
+        node_colors = {node: "blue" for node in G.nodes}
+    colors = [node_colors.get(node, "blue") for node in G.nodes]
+
+    # Рисуем график
+    plt.figure(figsize=(8, 6))
+    pos = nx.spring_layout(G)
+    nx.draw(G, pos, with_labels=True, node_color=colors, edge_color="gray", node_size=500, font_size=10)
+    plt.title(title)
+    plt.show()
+
+def plot_clusters(adjacency_matrix, labels, title="Cluster Visualization"):
+    """
+    Визуализирует кластеры, полученные из кластеризации.
+
+    :param adjacency_matrix: np.ndarray, матрица смежности графа.
+    :param labels: list, метки кластеров.
+    :param title: str, заголовок графика.
+    """
+    G = nx.Graph()
+    nodes = range(adjacency_matrix.shape[0])
+
+    # Добавляем узлы и ребра
+    for i in nodes:
+        for j in nodes:
+            if adjacency_matrix[i, j] > 0:
+                G.add_edge(i, j, weight=adjacency_matrix[i, j])
+
+    # Определяем цвета кластеров
+    cluster_colors = plt.cm.rainbow(np.linspace(0, 1, len(set(labels))))
+    node_colors = {node: cluster_colors[label] for node, label in enumerate(labels)}
+    colors = [node_colors[node] for node in G.nodes]
+
+    # Рисуем график
+    plt.figure(figsize=(8, 6))
+    pos = nx.spring_layout(G)
+    nx.draw(G, pos, with_labels=True, node_color=colors, edge_color="gray", node_size=500, font_size=10)
+    plt.title(title)
+    plt.show()
diff --git a/hc/requirements.txt b/hc/requirements.txt
new file mode 100644
index 0000000..78f2607
--- /dev/null
+++ b/hc/requirements.txt
@@ -0,0 +1,5 @@
+numpy
+scikit-learn
+networkx
+pytest
+matplotlib
\ No newline at end of file
diff --git a/hc/setup.py b/hc/setup.py
new file mode 100644
index 0000000..84ca1b9
--- /dev/null
+++ b/hc/setup.py
@@ -0,0 +1,15 @@
+from setuptools import setup, find_packages
+
+setup(
+    name="hypergraph_clustering",
+    version="0.1.0",
+    description="Модуль для агломеративной кластеризации гиперграфов",
+    author="nosignalx2k",
+    packages=find_packages(),
+    install_requires=[
+        "numpy",
+        "scikit-learn",
+        "networkx",
+        "matplotlib"
+    ],
+)
diff --git a/hc/test.py b/hc/test.py
new file mode 100644
index 0000000..9dcfce5
--- /dev/null
+++ b/hc/test.py
@@ -0,0 +1,21 @@
+from hypergraph_clustering.clustering.agglomerative import AgglomerativeHypergraphClustering
+import numpy as np
+
+# Пример графа
+adjacency_matrix = np.array([
+    [0, 1, 1, 0],
+    [1, 0, 1, 0],
+    [1, 1, 0, 1],
+    [0, 0, 1, 0]
+])
+
+# Кластеризация
+clustering = AgglomerativeHypergraphClustering(n_clusters=2, linkage="average")
+labels = clustering.fit(adjacency_matrix)
+
+# Оценка
+metrics = clustering.evaluate(adjacency_matrix)
+print("Metrics:", metrics)
+
+# Визуализация
+clustering.plot_clusters(adjacency_matrix)