diff --git a/cmd/manager/main.go b/cmd/manager/main.go index 68e2463c..92be2abc 100644 --- a/cmd/manager/main.go +++ b/cmd/manager/main.go @@ -25,23 +25,28 @@ import ( v1 "k8s.io/api/core/v1" "k8s.io/apimachinery/pkg/util/intstr" "sigs.k8s.io/controller-runtime/pkg/client/config" - logf "sigs.k8s.io/controller-runtime/pkg/log" + log "github.com/sirupsen/logrus" "sigs.k8s.io/controller-runtime/pkg/manager" "sigs.k8s.io/controller-runtime/pkg/manager/signals" ) +// Kubeflow operator version +var ( + Version string = "1.0.0" +) + // Change below variables to serve metrics on different host or port. var ( metricsHost = "0.0.0.0" metricsPort int32 = 8383 operatorMetricsPort int32 = 8686 ) -var log = logf.Log.WithName("cmd") func printVersion() { - log.Info(fmt.Sprintf("Go Version: %s", runtime.Version())) - log.Info(fmt.Sprintf("Go OS/Arch: %s/%s", runtime.GOOS, runtime.GOARCH)) - log.Info(fmt.Sprintf("Version of operator-sdk: %v", sdkVersion.Version)) + log.Infof("Go Version: %s", runtime.Version()) + log.Infof("Go OS/Arch: %s/%s", runtime.GOOS, runtime.GOARCH) + log.Infof("Version of operator-sdk: %v", sdkVersion.Version) + log.Infof("Kubeflow version: %v", Version) } func main() { @@ -55,28 +60,18 @@ func main() { pflag.Parse() - // Use a zap logr.Logger implementation. If none of the zap - // flags are configured (or if the zap flag set is not being - // used), this defaults to a production zap logger. - // - // The logger instantiated here can be changed to any logger - // implementing the logr.Logger interface. This logger will - // be propagated through the whole operator, generating - // uniform and structured logs. - logf.SetLogger(zap.Logger()) - printVersion() namespace, err := k8sutil.GetWatchNamespace() if err != nil { - log.Error(err, "Failed to get watch namespace") + log.Errorf("Failed to get watch namespace. Error %v.", err) os.Exit(1) } // Get a config to talk to the apiserver cfg, err := config.GetConfig() if err != nil { - log.Error(err, "") + log.Errorf("Error: %v.", err) os.Exit(1) } @@ -84,7 +79,7 @@ func main() { // Become the leader before proceeding err = leader.Become(ctx, "kfctl-lock") if err != nil { - log.Error(err, "") + log.Errorf("Error: %v.", err) os.Exit(1) } @@ -96,7 +91,7 @@ func main() { MetricsBindAddress: fmt.Sprintf("%s:%d", metricsHost, metricsPort), }) if err != nil { - log.Error(err, "") + log.Errorf("Error: %v.", err) os.Exit(1) } @@ -104,18 +99,18 @@ func main() { // Setup Scheme for all resources if err := apis.AddToScheme(mgr.GetScheme()); err != nil { - log.Error(err, "") + log.Errorf("Error: %v.", err) os.Exit(1) } // Setup all Controllers if err := controller.AddToManager(mgr); err != nil { - log.Error(err, "") + log.Errorf("Error: %v.", err) os.Exit(1) } if err = serveCRMetrics(cfg); err != nil { - log.Info("Could not generate and serve custom resource metrics", "error", err.Error()) + log.Errorf("Could not generate and serve custom resource metrics. Error: %v.", err.Error()) } // Add to the below struct any other metrics ports you want to expose. @@ -126,7 +121,7 @@ func main() { // Create Service object to expose the metrics port(s). service, err := metrics.CreateMetricsService(ctx, cfg, servicePorts) if err != nil { - log.Info("Could not create metrics Service", "error", err.Error()) + log.Errorf("Could not create metrics Service. Error: %v.", err.Error()) } // CreateServiceMonitors will automatically create the prometheus-operator ServiceMonitor resources @@ -134,19 +129,19 @@ func main() { services := []*v1.Service{service} _, err = metrics.CreateServiceMonitors(cfg, namespace, services) if err != nil { - log.Info("Could not create ServiceMonitor object", "error", err.Error()) + log.Errorf("Could not create ServiceMonitor object. Error: %v.", err.Error()) // If this operator is deployed to a cluster without the prometheus-operator running, it will return // ErrServiceMonitorNotPresent, which can be used to safely skip ServiceMonitor creation. if err == metrics.ErrServiceMonitorNotPresent { - log.Info("Install prometheus-operator in your cluster to create ServiceMonitor objects", "error", err.Error()) + log.Errorf("Install prometheus-operator in your cluster to create ServiceMonitor objects. Error: %v.", err.Error()) } } - log.Info("Starting the Cmd.") + log.Infof("Starting the Cmd.") // Start the Cmd if err := mgr.Start(signals.SetupSignalHandler()); err != nil { - log.Error(err, "Manager exited non-zero") + log.Errorf("Manager exited non-zero. Error: %v.", err) os.Exit(1) } } diff --git a/deploy/olm-catalog/kubeflow/0.1.0/kubeflow.v0.1.0.clusterserviceversion.yaml b/deploy/olm-catalog/kubeflow/0.1.0/kubeflow.v0.1.0.clusterserviceversion.yaml index 6931d307..46982406 100644 --- a/deploy/olm-catalog/kubeflow/0.1.0/kubeflow.v0.1.0.clusterserviceversion.yaml +++ b/deploy/olm-catalog/kubeflow/0.1.0/kubeflow.v0.1.0.clusterserviceversion.yaml @@ -2,7 +2,7 @@ apiVersion: operators.coreos.com/v1alpha1 kind: ClusterServiceVersion metadata: annotations: - alm-examples: '[{"apiVersion":"kfdef.apps.kubeflow.org/v1","kind":"KfDef","metadata":{"name":"kubeflow-deployment","namespace":"kubeflow"},"spec":{"applications":[{"kustomizeConfig":{"parameters":[{"name":"namespace","value":"istio-system"}],"repoRef":{"name":"manifests","path":"istio/istio-crds"}},"name":"istio-crds"},{"kustomizeConfig":{"parameters":[{"name":"namespace","value":"istio-system"}],"repoRef":{"name":"manifests","path":"istio/istio-install"}},"name":"istio-install"},{"kustomizeConfig":{"parameters":[{"name":"clusterRbacConfig","value":"OFF"}],"repoRef":{"name":"manifests","path":"istio/istio"}},"name":"istio"},{"kustomizeConfig":{"repoRef":{"name":"manifests","path":"application/application-crds"}},"name":"application-crds"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"application/application"}},"name":"application"},{"kustomizeConfig":{"parameters":[{"name":"namespace","value":"cert-manager"}],"repoRef":{"name":"manifests","path":"cert-manager/cert-manager-crds"}},"name":"cert-manager-crds"},{"kustomizeConfig":{"parameters":[{"name":"namespace","value":"kube-system"}],"repoRef":{"name":"manifests","path":"cert-manager/cert-manager-kube-system-resources"}},"name":"cert-manager-kube-system-resources"},{"kustomizeConfig":{"overlays":["self-signed","application"],"parameters":[{"name":"namespace","value":"cert-manager"}],"repoRef":{"name":"manifests","path":"cert-manager/cert-manager"}},"name":"cert-manager"},{"kustomizeConfig":{"repoRef":{"name":"manifests","path":"metacontroller"}},"name":"metacontroller"},{"kustomizeConfig":{"overlays":["istio","application"],"parameters":[{"name":"containerRuntimeExecutor","value":"pns"}],"repoRef":{"name":"manifests","path":"argo"}},"name":"argo"},{"kustomizeConfig":{"repoRef":{"name":"manifests","path":"kubeflow-roles"}},"name":"kubeflow-roles"},{"kustomizeConfig":{"overlays":["istio","application"],"repoRef":{"name":"manifests","path":"common/centraldashboard"}},"name":"centraldashboard"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"admission-webhook/bootstrap"}},"name":"bootstrap"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"admission-webhook/webhook"}},"name":"webhook"},{"kustomizeConfig":{"overlays":["istio","application"],"repoRef":{"name":"manifests","path":"jupyter/jupyter-web-app"}},"name":"jupyter-web-app"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"spark/spark-operator"}},"name":"spark-operator"},{"kustomizeConfig":{"overlays":["istio","application","ibm-storage-config","db"],"repoRef":{"name":"manifests","path":"metadata"}},"name":"metadata"},{"kustomizeConfig":{"overlays":["istio","application"],"repoRef":{"name":"manifests","path":"jupyter/notebook-controller"}},"name":"notebook-controller"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pytorch-job/pytorch-job-crds"}},"name":"pytorch-job-crds"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pytorch-job/pytorch-operator"}},"name":"pytorch-operator"},{"kustomizeConfig":{"overlays":["application"],"parameters":[{"name":"namespace","value":"knative-serving"}],"repoRef":{"name":"manifests","path":"knative/knative-serving-crds"}},"name":"knative-crds"},{"kustomizeConfig":{"overlays":["application"],"parameters":[{"name":"namespace","value":"knative-serving"}],"repoRef":{"name":"manifests","path":"knative/knative-serving-install"}},"name":"knative-install"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"kfserving/kfserving-crds"}},"name":"kfserving-crds"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"kfserving/kfserving-install"}},"name":"kfserving-install"},{"kustomizeConfig":{"overlays":["application"],"parameters":[{"name":"usageId","value":""},{"name":"reportUsage","value":"true"}],"repoRef":{"name":"manifests","path":"common/spartakus"}},"name":"spartakus"},{"kustomizeConfig":{"overlays":["istio"],"repoRef":{"name":"manifests","path":"tensorboard"}},"name":"tensorboard"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"tf-training/tf-job-crds"}},"name":"tf-job-crds"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"tf-training/tf-job-operator"}},"name":"tf-job-operator"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"katib/katib-crds"}},"name":"katib-crds"},{"kustomizeConfig":{"overlays":["application","istio","ibm-storage-config"],"repoRef":{"name":"manifests","path":"katib/katib-controller"}},"name":"katib-controller"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/api-service"}},"name":"api-service"},{"kustomizeConfig":{"overlays":["application"],"parameters":[{"name":"minioPvcName","value":"minio-pv-claim"}],"repoRef":{"name":"manifests","path":"pipeline/minio"}},"name":"minio"},{"kustomizeConfig":{"overlays":["application"],"parameters":[{"name":"mysqlPvcName","value":"mysql-pv-claim"}],"repoRef":{"name":"manifests","path":"pipeline/mysql"}},"name":"mysql"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/persistent-agent"}},"name":"persistent-agent"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/pipelines-runner"}},"name":"pipelines-runner"},{"kustomizeConfig":{"overlays":["istio","application"],"repoRef":{"name":"manifests","path":"pipeline/pipelines-ui"}},"name":"pipelines-ui"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/pipelines-viewer"}},"name":"pipelines-viewer"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/scheduledworkflow"}},"name":"scheduledworkflow"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/pipeline-visualization-service"}},"name":"pipeline-visualization-service"},{"kustomizeConfig":{"overlays":["application","istio"],"parameters":[{"name":"admin","value":"example@kubeflow.org"}],"repoRef":{"name":"manifests","path":"profiles"}},"name":"profiles"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"seldon/seldon-core-operator"}},"name":"seldon-core-operator"}],"repos":[{"name":"manifests","uri":"https://github.com/kubeflow/manifests/archive/master.tar.gz"}],"version":"master"}}]' + alm-examples: '[{"apiVersion":"kfdef.apps.kubeflow.org/v1","kind":"KfDef","metadata":{"name":"kubeflow-deployment","namespace":"kubeflow"},"spec":{"applications":[{"kustomizeConfig":{"parameters":[{"name":"namespace","value":"istio-system"}],"repoRef":{"name":"manifests","path":"istio/istio-crds"}},"name":"istio-crds"},{"kustomizeConfig":{"parameters":[{"name":"namespace","value":"istio-system"}],"repoRef":{"name":"manifests","path":"istio/istio-install"}},"name":"istio-install"},{"kustomizeConfig":{"parameters":[{"name":"clusterRbacConfig","value":"OFF"}],"repoRef":{"name":"manifests","path":"istio/istio"}},"name":"istio"},{"kustomizeConfig":{"repoRef":{"name":"manifests","path":"application/application-crds"}},"name":"application-crds"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"application/application"}},"name":"application"},{"kustomizeConfig":{"parameters":[{"name":"namespace","value":"cert-manager"}],"repoRef":{"name":"manifests","path":"cert-manager/cert-manager-crds"}},"name":"cert-manager-crds"},{"kustomizeConfig":{"parameters":[{"name":"namespace","value":"kube-system"}],"repoRef":{"name":"manifests","path":"cert-manager/cert-manager-kube-system-resources"}},"name":"cert-manager-kube-system-resources"},{"kustomizeConfig":{"overlays":["self-signed","application"],"parameters":[{"name":"namespace","value":"cert-manager"}],"repoRef":{"name":"manifests","path":"cert-manager/cert-manager"}},"name":"cert-manager"},{"kustomizeConfig":{"repoRef":{"name":"manifests","path":"metacontroller"}},"name":"metacontroller"},{"kustomizeConfig":{"overlays":["istio","application"],"parameters":[{"name":"containerRuntimeExecutor","value":"pns"}],"repoRef":{"name":"manifests","path":"argo"}},"name":"argo"},{"kustomizeConfig":{"repoRef":{"name":"manifests","path":"kubeflow-roles"}},"name":"kubeflow-roles"},{"kustomizeConfig":{"overlays":["istio","application"],"repoRef":{"name":"manifests","path":"common/centraldashboard"}},"name":"centraldashboard"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"admission-webhook/bootstrap"}},"name":"bootstrap"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"admission-webhook/webhook"}},"name":"webhook"},{"kustomizeConfig":{"overlays":["istio","application"],"repoRef":{"name":"manifests","path":"jupyter/jupyter-web-app"}},"name":"jupyter-web-app"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"spark/spark-operator"}},"name":"spark-operator"},{"kustomizeConfig":{"overlays":["istio","application","ibm-storage-config","db"],"repoRef":{"name":"manifests","path":"metadata"}},"name":"metadata"},{"kustomizeConfig":{"overlays":["istio","application"],"repoRef":{"name":"manifests","path":"jupyter/notebook-controller"}},"name":"notebook-controller"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pytorch-job/pytorch-job-crds"}},"name":"pytorch-job-crds"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pytorch-job/pytorch-operator"}},"name":"pytorch-operator"},{"kustomizeConfig":{"overlays":["application"],"parameters":[{"name":"namespace","value":"knative-serving"}],"repoRef":{"name":"manifests","path":"knative/knative-serving-crds"}},"name":"knative-crds"},{"kustomizeConfig":{"overlays":["application"],"parameters":[{"name":"namespace","value":"knative-serving"}],"repoRef":{"name":"manifests","path":"knative/knative-serving-install"}},"name":"knative-install"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"kfserving/kfserving-crds"}},"name":"kfserving-crds"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"kfserving/kfserving-install"}},"name":"kfserving-install"},{"kustomizeConfig":{"overlays":["application"],"parameters":[{"name":"usageId","value":""},{"name":"reportUsage","value":"true"}],"repoRef":{"name":"manifests","path":"common/spartakus"}},"name":"spartakus"},{"kustomizeConfig":{"overlays":["istio"],"repoRef":{"name":"manifests","path":"tensorboard"}},"name":"tensorboard"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"tf-training/tf-job-crds"}},"name":"tf-job-crds"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"tf-training/tf-job-operator"}},"name":"tf-job-operator"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"katib/katib-crds"}},"name":"katib-crds"},{"kustomizeConfig":{"overlays":["application","istio","ibm-storage-config"],"repoRef":{"name":"manifests","path":"katib/katib-controller"}},"name":"katib-controller"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/api-service"}},"name":"api-service"},{"kustomizeConfig":{"overlays":["application"],"parameters":[{"name":"minioPvcName","value":"minio-pv-claim"}],"repoRef":{"name":"manifests","path":"pipeline/minio"}},"name":"minio"},{"kustomizeConfig":{"overlays":["application"],"parameters":[{"name":"mysqlPvcName","value":"mysql-pv-claim"}],"repoRef":{"name":"manifests","path":"pipeline/mysql"}},"name":"mysql"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/persistent-agent"}},"name":"persistent-agent"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/pipelines-runner"}},"name":"pipelines-runner"},{"kustomizeConfig":{"overlays":["istio","application"],"repoRef":{"name":"manifests","path":"pipeline/pipelines-ui"}},"name":"pipelines-ui"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/pipelines-viewer"}},"name":"pipelines-viewer"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/scheduledworkflow"}},"name":"scheduledworkflow"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"pipeline/pipeline-visualization-service"}},"name":"pipeline-visualization-service"},{"kustomizeConfig":{"overlays":["application","istio"],"parameters":[{"name":"admin","value":"example@kubeflow.org"}],"repoRef":{"name":"manifests","path":"profiles"}},"name":"profiles"},{"kustomizeConfig":{"overlays":["application"],"repoRef":{"name":"manifests","path":"seldon/seldon-core-operator"}},"name":"seldon-core-operator"}],"repos":[{"name":"manifests","uri":"https://github.com/kubeflow/manifests/archive/v0.7-branch.tar.gz"}],"version":"v0.7.1"}}]' capabilities: Basic Install categories: "AI/Machine Learning" description: "Kubeflow Operator for deployment and management of Kubeflow" @@ -23,7 +23,7 @@ spec: version: v1 displayName: Kubeflow group: kfdef.apps.kubeflow.org - description: "Kubeflow Operator for deployment and management of Kubeflow components. Applicable for Kubeflow versions 0.7 and above. Check [Kubeflow Operator documentation](https://github.com/kubeflow/kfctl/blob/master/operator.md) for more details." + description: "Kubeflow Operator for deployment and management of Kubeflow components. Applicable for Kubeflow versions 0.7. Check [Kubeflow Operator documentation](https://github.com/kubeflow/kfctl/blob/master/operator.md) for more details." displayName: Kubeflow icon: - base64data: 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 @@ -105,7 +105,6 @@ spec: - GCP - OpenShift version: 0.1.0 - replaces: kfctl.v0.1.0 selector: matchLabels: component: kubeflow-operator diff --git a/deploy/olm-catalog/kubeflow/1.0.0/kfdef.apps.kubeflow.org.crd.yaml b/deploy/olm-catalog/kubeflow/1.0.0/kfdef.apps.kubeflow.org.crd.yaml new file mode 100644 index 00000000..03ca759d --- /dev/null +++ b/deploy/olm-catalog/kubeflow/1.0.0/kfdef.apps.kubeflow.org.crd.yaml @@ -0,0 +1,44 @@ +apiVersion: apiextensions.k8s.io/v1beta1 +kind: CustomResourceDefinition +metadata: + name: kfdefs.kfdef.apps.kubeflow.org + labels: + component: kubeflow-operator +spec: + group: kfdef.apps.kubeflow.org + names: + kind: KfDef + listKind: KfDefList + plural: kfdefs + singular: kfdef + scope: Namespaced + subresources: + status: {} + validation: + openAPIV3Schema: + description: KfDef is the Schema for the kfdefs API + properties: + apiVersion: + description: 'APIVersion defines the versioned schema of this representation + of an object. Servers should convert recognized schemas to the latest + internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#resources' + type: string + kind: + description: 'Kind is a string value representing the REST resource this + object represents. Servers may infer this from the endpoint the client + submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds' + type: string + metadata: + type: object + spec: + description: KfDefSpec defines the desired state of KfDef + type: object + status: + description: KfDefStatus defines the observed state of KfDef + type: object + type: object + version: v1 + versions: + - name: v1 + served: true + storage: true diff --git a/deploy/olm-catalog/kubeflow/1.0.0/kubeflow.v1.0.0.clusterserviceversion.yaml b/deploy/olm-catalog/kubeflow/1.0.0/kubeflow.v1.0.0.clusterserviceversion.yaml new file mode 100644 index 00000000..aa656825 --- /dev/null +++ b/deploy/olm-catalog/kubeflow/1.0.0/kubeflow.v1.0.0.clusterserviceversion.yaml @@ -0,0 +1,111 @@ +apiVersion: operators.coreos.com/v1alpha1 +kind: ClusterServiceVersion +metadata: + annotations: + alm-examples: '[{"apiVersion": "kfdef.apps.kubeflow.org/v1", "kind": "KfDef", "metadata": { "name": "kubeflow", "namespace": "kubeflow" }, "spec": { "applications": [ { "kustomizeConfig": { "parameters": [ { "name": "namespace", "value": "istio-system" } ], "repoRef": { "name": "manifests", "path": "istio/istio-crds" } }, "name": "istio-crds" }, { "kustomizeConfig": { "parameters": [ { "name": "namespace", "value": "istio-system" } ], "repoRef": { "name": "manifests", "path": "istio/istio-install" } }, "name": "istio-install" }, { "kustomizeConfig": { "parameters": [ { "name": "namespace", "value": "istio-system" } ], "repoRef": { "name": "manifests", "path": "istio/cluster-local-gateway" } }, "name": "cluster-local-gateway" }, { "kustomizeConfig": { "parameters": [ { "name": "clusterRbacConfig", "value": "OFF" } ], "repoRef": { "name": "manifests", "path": "istio/istio" } }, "name": "istio" }, { "kustomizeConfig": { "parameters": [ { "name": "namespace", "value": "istio-system" } ], "repoRef": { "name": "manifests", "path": "istio/add-anonymous-user-filter" } }, "name": "add-anonymous-user-filter" }, { "kustomizeConfig": { "repoRef": { "name": "manifests", "path": "application/application-crds" } }, "name": "application-crds" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "application/application" } }, "name": "application" }, { "kustomizeConfig": { "parameters": [ { "name": "namespace", "value": "cert-manager" } ], "repoRef": { "name": "manifests", "path": "cert-manager/cert-manager-crds" } }, "name": "cert-manager-crds" }, { "kustomizeConfig": { "parameters": [ { "name": "namespace", "value": "kube-system" } ], "repoRef": { "name": "manifests", "path": "cert-manager/cert-manager-kube-system-resources" } }, "name": "cert-manager-kube-system-resources" }, { "kustomizeConfig": { "overlays": [ "self-signed", "application" ], "parameters": [ { "name": "namespace", "value": "cert-manager" } ], "repoRef": { "name": "manifests", "path": "cert-manager/cert-manager" } }, "name": "cert-manager" }, { "kustomizeConfig": { "repoRef": { "name": "manifests", "path": "metacontroller" } }, "name": "metacontroller" }, { "kustomizeConfig": { "overlays": [ "istio", "application" ], "repoRef": { "name": "manifests", "path": "argo" } }, "name": "argo" }, { "kustomizeConfig": { "repoRef": { "name": "manifests", "path": "kubeflow-roles" } }, "name": "kubeflow-roles" }, { "kustomizeConfig": { "overlays": [ "istio", "application" ], "repoRef": { "name": "manifests", "path": "common/centraldashboard" } }, "name": "centraldashboard" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "admission-webhook/bootstrap" } }, "name": "bootstrap" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "admission-webhook/webhook" } }, "name": "webhook" }, { "kustomizeConfig": { "overlays": [ "istio", "application" ], "parameters": [ { "name": "userid-header", "value": "kubeflow-userid" } ], "repoRef": { "name": "manifests", "path": "jupyter/jupyter-web-app" } }, "name": "jupyter-web-app" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "spark/spark-operator" } }, "name": "spark-operator" }, { "kustomizeConfig": { "overlays": [ "istio", "application", "db" ], "repoRef": { "name": "manifests", "path": "metadata" } }, "name": "metadata" }, { "kustomizeConfig": { "overlays": [ "istio", "application" ], "repoRef": { "name": "manifests", "path": "jupyter/notebook-controller" } }, "name": "notebook-controller" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "pytorch-job/pytorch-job-crds" } }, "name": "pytorch-job-crds" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "pytorch-job/pytorch-operator" } }, "name": "pytorch-operator" }, { "kustomizeConfig": { "overlays": [ "application" ], "parameters": [ { "name": "namespace", "value": "knative-serving" } ], "repoRef": { "name": "manifests", "path": "knative/knative-serving-crds" } }, "name": "knative-crds" }, { "kustomizeConfig": { "overlays": [ "application" ], "parameters": [ { "name": "namespace", "value": "knative-serving" } ], "repoRef": { "name": "manifests", "path": "knative/knative-serving-install" } }, "name": "knative-install" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "kfserving/kfserving-crds" } }, "name": "kfserving-crds" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "kfserving/kfserving-install" } }, "name": "kfserving-install" }, { "kustomizeConfig": { "overlays": [ "application" ], "parameters": [ { "name": "usageId", "value": "" }, { "name": "reportUsage", "value": "true" } ], "repoRef": { "name": "manifests", "path": "common/spartakus" } }, "name": "spartakus" }, { "kustomizeConfig": { "overlays": [ "istio" ], "repoRef": { "name": "manifests", "path": "tensorboard" } }, "name": "tensorboard" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "tf-training/tf-job-crds" } }, "name": "tf-job-crds" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "tf-training/tf-job-operator" } }, "name": "tf-job-operator" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "katib/katib-crds" } }, "name": "katib-crds" }, { "kustomizeConfig": { "overlays": [ "application", "istio" ], "repoRef": { "name": "manifests", "path": "katib/katib-controller" } }, "name": "katib-controller" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "pipeline/api-service" } }, "name": "api-service" }, { "kustomizeConfig": { "overlays": [ "application" ], "parameters": [ { "name": "minioPvcName", "value": "minio-pv-claim" } ], "repoRef": { "name": "manifests", "path": "pipeline/minio" } }, "name": "minio" }, { "kustomizeConfig": { "overlays": [ "application" ], "parameters": [ { "name": "mysqlPvcName", "value": "mysql-pv-claim" } ], "repoRef": { "name": "manifests", "path": "pipeline/mysql" } }, "name": "mysql" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "pipeline/persistent-agent" } }, "name": "persistent-agent" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "pipeline/pipelines-runner" } }, "name": "pipelines-runner" }, { "kustomizeConfig": { "overlays": [ "istio", "application" ], "repoRef": { "name": "manifests", "path": "pipeline/pipelines-ui" } }, "name": "pipelines-ui" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "pipeline/pipelines-viewer" } }, "name": "pipelines-viewer" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "pipeline/scheduledworkflow" } }, "name": "scheduledworkflow" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "pipeline/pipeline-visualization-service" } }, "name": "pipeline-visualization-service" }, { "kustomizeConfig": { "overlays": [ "application", "istio" ], "parameters": [ { "name": "admin", "value": "johnDoe@acme.com" } ], "repoRef": { "name": "manifests", "path": "profiles" } }, "name": "profiles" }, { "kustomizeConfig": { "overlays": [ "application" ], "repoRef": { "name": "manifests", "path": "seldon/seldon-core-operator" } }, "name": "seldon-core-operator" } ], "repos": [ { "name": "manifests", "uri": "https://github.com/kubeflow/manifests/archive/v1.0.0.tar.gz" } ], "version": "v1.0.0" } }]' + capabilities: Basic Install + categories: "AI/Machine Learning" + description: "Kubeflow Operator for deployment and management of Kubeflow" + support: Kubeflow + repository: https://github.com/kubeflow/kfctl + createdAt: '2020-03-19T00:00:00Z' + containerImage: aipipeline/kubeflow-operator:v1.0.0 + certified: 'False' + name: kubeflow.v1.0.0 + namespace: placeholder +spec: + apiservicedefinitions: {} + customresourcedefinitions: + owned: + - description: KfDef is the Schema for the applications API + kind: KfDef + name: kfdefs.kfdef.apps.kubeflow.org + version: v1 + displayName: Kubeflow + group: kfdef.apps.kubeflow.org + description: "Kubeflow Operator for deployment and management of Kubeflow components. Applicable for Kubeflow versions 1.0 and above. Check [Kubeflow Operator documentation](https://github.com/kubeflow/kfctl/blob/master/operator.md) for more details." + displayName: Kubeflow + icon: + - base64data: iVBORw0KGgoAAAANSUhEUgAABvAAAAbwCAYAAAC1MBbrAAAACXBIWXMAAC4jAAAuIwF4pT92AAAgAElEQVR4nOzdPXJbV6Ku4W+fcngD3hEc3hEcMt5Bgz0CaQQg81VlKuxIUnRDUVXIhT0CcQRXcIBY8AgMzwBB5/sGG2pL3f6RBIALG3ieKpVY7bb5lX9kF1+utRIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAICDKl1/W7r+l9L1t7W3AAAAnKqm9gAAAADGoXT9VZIPSS62/9M6ydsk89m02dTaBQAAcGoEPAAAAP5S6fqLJB+TXP7Ob95kCHkPQh4AAMDuBDwAAAD+Uun690me/cX/TcgDAADYAwEPAACAP1W6/j7Jm2/4XT6FvPls2qwPMgoAAOCECXgAAAD8odL1kwzv3n2veZLXQh4AAMDXE/AAAAD4Xdt3735JcrGHP9w8Qh4AAMBX+a/aAwAAADha77OfeJckt0l+KV3/rnT95Z7+mAAAACfJCTwAAAD+Q+n6N0nuD/gpFhlO5C0O+DkAAABGScADAADgC6Xrn2U4ffcUFhHyAAAAviDgAQAA8C/b6y0/Zn9XZ36tRYQ8AACAJAIeAAAAW6XrL5J8SHJVccYqydvZtJlX3AAAAFDVf9UeAAAAwNF4k7rxLtvP/650/S+l628rbwEAAKjCCTwAAACyjWXvau/4HesMV2vOK+8AAAB4MgIeAADAd5gt+4sk90lS2uZV3TW7KV1/leHqzKd+9+5brJO8TTKfTZtN5S0AAAAHJeABAAB8g8/C3Y8ZotJNaccblLbv3n1Mcll5ytfaZAh5D0IeAABwqgQ8AACAr/Bv4e4iQ0i6KW2zqjpsR6Xr3yd5VnvHdxDyAACAkyXgAQAA/InZsr9M8jJD5Pr8ism70o77XbbS9fdJ3tTesaNPIW8+mzbrylsAAAD2QsADAAD4HZ+Fu9vf+c0PpW1ePOmgPStdP8nw7t0pmSd5LeQBAABjJ+ABAAB85i/CXZKsSttcP9mgA9i+e/dLvjxReErmEfIAAIAR+6H2AAAAgGMwW/aTJNP8cbhLhusanz/FngN7n9ONd8nw1/C2dP08Qh4AADBCTuABAABnbRvuXiaZfMX//aa0zeKQew6tdP2bJPe1dzyxRYaQt6i8AwAA4KsIeAAAwFn6xnCXJK9L27w61J6nULr+WYbTd+dqESEPAAAYAQEPAAA4K7Nl/yzJj/n6cJcki9I2N4dZ9DRK118m+ZjTvjrzay0i5AEAAEdMwAMAAM7CbNnfZjhxd/mNv+s6yXVpm82eJz2Z0vUXST4kuaq95ciskrydTZt57SEAAACfE/AAAICTtkO4++S6tM1qb4MqKF3/Lslt7R1HbJ3hRN688g4AAIAkAh4AAHCi9hDukuRFaZuHvQyqpHT9bZJ3tXeMxDpCHgAAcAQEPAAA4GTMlv1FkvsMb9zt+tbbvLTN3e6r6ildf5Xh6kzv3n2bdZK3Seaz6XivTgUAAMZLwAMAAEZvz+EuGd5Gu/Hu3dnbZAh5D0IeAADwlAQ8AABgtA4Q7pIh2tycwLt375M8q73jRAh5AADAkxLwAACA0Zkt+8sM79s9y/6vh7wr7bjfQCtdf5/kTe0dJ+hTyJvPps268hYAAOCECXgAAMBofBbubg/0KR5K27w40B/7SWzfvftYe8cZmCd5LeQBAACHIOABAABH7wnCXZKsSttcH/CPf3Dbd+9+yf5PJfLH5hHyAACAPfuh9gAAAIA/Mlv2kyTTHDbcJcPViM8P/DmewvuId0/tNslt6fp5hDwAAGBPnMADAACOzjbcvUwyeaJPeVPaZvFEn+sgSte/yvDnjLoek7ydTcf99xMAAFCXgAcAAByNCuEuSV6Xtnn1hJ9v70rXP8tw+o7jschwIm9ReQcAADBCAh4AAFDdbNk/S/JjnjbcJcmitM3NE3/OvSpdf5nkY1ydeawWEfIAAIBv5A08AACgmtmyv81w4u6ywqdfx7t3HN4kyaR0/SJJN5s286prAACAUXACDwAAeHKVw90n16VtVhU//85K179Lclt7B99kneFE3rzyDgAA4IgJeAAAwJM5knCXJC9K2zxU3rCT0vW3Sd7V3sF3W0fIAwAA/oCABwAAHNRs2V8kuc/wxt0xXPU4L21zV3vELkrXXyX5kOP488lu1kleJ3mcTZtN5S0AAMCREPAAAICDOMJwlySrJDelHW8oKV1/kSHeXdXewl5tkrxN8iDkAQAAAh4AALBXRxrukiGQ3JzAu3fvkzyrvYODEfIAAAABDwAA2I/Zsr/M8L7dsxxXuPvkrrTjfm+sdP19kje1d/AkhDwAADhjAh4AALCTz8Ldbd0lf+pU3r37WHsHVcyTvJ5Nm3XlHQAAwBMR8AAAgO8yknCXJKvSNte1R+xi++7dLznOk408nXmEPAAAOAv/VXsAAAAwLrNlfzVb9u8yBKXbynP+yibJ89oj9uB9xDuGf95+KV3/rnT9ZeUtAADAATmBBwAAfJXZsp9kOHE3qbvkmzwvbfNYe8QuSte/yvDnHf7dY5K3s2mzqD0EAADYLwEPAAD4UyMNd0nyurTNq9ojdlG6/lmG03fwZxYZrtZcVN4BAADsiYAHAAD8rhGHuyRZlLa5qT1iF9srEj/G1Zl8vUWEPAAAOAk/1B4AAAAcl9myv80Q7i7rLvlu3r3jXE2STErXL5J0s2kzr7oGAAD4bk7gAQAASU4i3H1yXdpmVXvELkrXv0tyW3sHo7fOcCJvXnkHAADwjQQ8AAA4cycU7pLkRWmbh9ojdlG6/jbJu9o7OCnrCHkAADAqAh4AAJyh2bK/SHKfZJrTCHdJ8ljaZtRXZ5auv0ryIa7O5DDWSV4neZxNm03lLQAAwJ8Q8AAA4Ix8Fu5+zGlFolWSm9KON0qUrr/IEO+uam/h5G2SvE3yIOQBAMBxEvAAAOAMnHC4S4YYcXMC7969T/Ks9g7OipAHAABHSsADAIATNlv2lxmi3W1OL9x9clfacb/tVbr+Psmb2js4W0IeAAAcGQEPAABO0DbcvcwQ7k7ZvLTNXe0Ru9i+e/ex9g7Ymid5PZs268o7AADgrAl4AABwQs4o3CXJqrTNde0Ru9i+e/cxyWXlKfDv5hHyAACgGgEPAABOwGzZX+W3qzLPwSbJdWnHHRdK139IMqm9A/7EPEIeAAA8OQEPAABGbLbsJxlO3E3qLnlyz0vbPNYesYvS9a8y/LWDMXhM8nY2bRa1hwAAwDkQ8AAAYITOONwlyevSNq9qj9hF6fpJkg+1d8B3WGQ4kbeovAMAAE6agAcAACNy5uEuSRalbW5qj9hF6frLDO/eXVSeArtYRMgDAICD+aH2AAAA4K/Nlv1thnB3WXdJVZskz2uP2IP3Ee8Yv0mSSen6RZJuNm3mVdcAAMCJcQIPAACOmHD3hevSNqvaI3ZRuv5NkvvaO+AA1hlO5M0r7wAAgJMg4AEAwBES7v7Di9I2D7VH7KJ0/W2Sd7V3wIGtI+QBAMDOBDwAADgSs2V/keF01jTC3eceS9uM+urM0vVXST7E1Zmcj3WS10keZ9NmU3kLAACMjoAHAACVfRbufozA8+9WSW5KO94AULr+IkO8u6q9BSrYJHmb5EHIAwCAryfgAQBAJcLdX9pkiHdjf/fuXZLb2jugMiEPAAC+gYAHAABPbLbsLzNEu9sId3/mrrTjfkerdP19kje1d8AREfIAAOArCHgAAPBEtuHuZZzG+hrz0jZ3tUfsYvvu3cfaO+CIzZO8nk2bdeUdAABwdAQ8AAA4MOHum61K21zXHrGL7bt3H5NcVp4CYzCPkAcAAF8Q8AAA4EBmy/4qv12VydfZJLku7bi/kF+6/kOSSe0dMDLzCHkAAJBEwAMAgL2bLftJhhN3k7pLRul5aZvH2iN2Ubr+VYa//sD3eUzydjZtFrWHAABALQIeAADsiXC3s4fSNi9qj9hF6fpJkg+1d8CJWGQ4kbeovAMAAJ6cgAcAADsS7vZiUdrmpvaIXZSuv8zw7t1F5SlwahYR8gAAODM/1B4AAABjNVv2txnC3WXdJaO3SfK89og9eB/xDg5hkmRSun6RpJtNm3nVNQAA8AScwAMAgG8k3O3dTWnHfbKmdP2bJPe1d8CZWGc4kTevvAMAAA5GwAMAgK8k3B3Ei9I2D7VH7KJ0/W2Sd7V3wBlaR8gDAOBECXgAAPAnZsv+IsPJqmmEu317LG0z6qszS9dfJfkQV2dCTeskr5M8zqbNpvIWAADYCwEPAAB+x2fh7seIM4ewTnJd2vF+sb10/UWGeHdVewuQZHhP822SByEPAICxE/AAAOAzwt2T2GR4925Ve8guSte/S3JbewfwH4Q8AABGT8ADAIAks2V/mSHa3Ua4O7S70o77zarS9fdJ3tTeAfwpIQ8AgNES8AAAOGvbcPcyTlI9lXlpm7vaI3axfffuY+0dwFfbJHlM8no2bdaVtwAAwFcR8AAAOEvCXRWrDFdnjvYkzPbdu49JLitPAb7PPEIeAAAjIOABAHBWZsv+Kr9dlcnT2SS5Lu24v2heuv5DkkntHcDO5hHyAAA4YgIeAABnYbbsJxlO3E3qLjlbz0vbPNYesYvS9a8y/D0EnI55km42bRaVdwAAwBcEPAAATppwdxQeStu8qD1iF6XrJ0k+1N4BHMwiw4m8ReUdAACQRMADAOBECXdHY1Ha5qb2iF1s3737JclF7S3AwS0i5AEAcAR+qD0AAAD2abbsbzOEu8u6S8jw7t3z2iP24EPEOzgXkyST0vWLJG9n03Ff/QsAwHg5gQcAwEkQ7o7STWnHfYqldP2bJPe1dwDVrDOcyJtX3gEAwJkR8AAAGDXh7mi9KG3zUHvELkrXP0vyvvYO4CisI+QBAPCEBDwAAEZntuwvktwm+THC3TF6LG0z6qszS9dfxdWZwH9aR8gDAOAJCHgAAIzGNtzdZwh3wspxWie5Lm2zqT3ke5Wuv8gQ765qbwGO1ibJ2yQPs+l4f70DAOB4CXgAABw94W40NhnevVvVHrKL0vXvMpzwBPgrQh4AAAch4AEAcLRmy/4yv12VKdwdv7vSjvtaudL1t0ne1d4BjI6QBwDAXgl4AAAcnW24exmnoMZkXtrmrvaIXWzfvftYewcwapskjxneyVtX3gIAwIgJeAAAHA3hbrRWGa7OHO2pk+27dx+TXFaeApyOeYQ8AAC+k4AHAEB1wt2obZJcl3bcX6AuXf8+ybPaO4CTNI+QBwDANxLwAACoZrbsJxnC3aTuEnbwvLTNY+0Ruyhd/yrD34cAhzRP0s2mzaLyDgAARkDAAwDgyQl3J+OhtM2L2iN2Ubp+kuRD7R3AWVlkOJG3qLwDAIAjJuABAPBkhLuTsihtc1N7xC627979kuSi9hbgLC0i5AEA8Ad+qD0AAIDTN1v2t0l+THJVeQr7sUnyvPaIPfgQ8Q6oZ5JkUrp+keTtbDru64gBANgvJ/AAADiYbbh7meSy7hL27Ka04z4xUrr+TZL72jsAPrPOcCJvXnkHAABHQMADAGDvhLuT9rq0zavaI3ZRuv5Zkve1dwD8gXWEPACAsyfgAQCwF7Nlf5HkNsNVmZdVx3Aoj6VtRn11Zun6q7g6ExiHdYQ8AICzJeABALCTbbi7zxDuRJHTtU5yXdpmU3vI9ypdf5Eh3nmLERiTTZK3SR5m0/H+GgwAwLcR8AAA+C7C3dm5Lm2zqj1iF6Xr32U4JQowRkIeAMAZEfAAAPgms2V/md+uyhTuzsNdacd9hVvp+tsk72rvANgDIQ8A4AwIeAAAfJVtuHsZJ5jOzby0zV3tEbvYvnv3sfYOgD3bJHnM8E7euvIWAAD2TMADAOBPCXdnbZXk5gTevfuY5LLyFIBDmkfIAwA4KQIeAAC/S7g7e5sM8W7s7969T/Ks9g6AJzKPkAcAcBIEPAAAvjBb9pMM4W5SdwmVPS9t81h7xC5K17/K8PcywLmZJ+lm02ZReQcAAN9JwAMAIIlwxxceStu8qD1iF6XrJ0k+1N4BUNkiw4m8ReUdAAB8IwEPAODMCXf8m1Vpm+vaI3axfffulyQXtbcAHIlFhDwAgFH5ofYAAADqmC372yQ/JrmqPIXjsUlyU3vEHnyIeAfwuUmSSen6RZK3s+m4r0gGADgHTuABAJyZbbh7meSy7hKO0E1px306o3T9myT3tXcAHLl1hhN588o7AAD4AwIeAMCZEO74C69L27yqPWIXpeufJXlfewfAiKwj5AEAHCUBDwDghM2W/UWS2wxXZV5WHcMxeyxt87z2iF2Urr9M8jGuzgT4HusIeQAAR0XAAwA4Qdtwd58h3Aka/Jl1kuvSNpvaQ75X6fqLDO/eec8RYDebJG+TPMym4/33AgDAKRDwAABOiHDHd7gubbOqPWIXpevfZThpCsB+CHkAAJUJeAAAJ2C27C/z21WZwh1f6660474urXT9bZJ3tXcAnCghDwCgEgEPAGDEtuHuZZw+4tvNS9vc1R6xi9L1VxmuzhStAQ5rk+Qxwzt568pbAADOgoAHADBCwh07WiW5OYF37z4muaw8BeDczCPkAQAcnIAHADAiwh17sMkQ78b+7t37JM9q7wA4Y/MIeQAAByPgAQCMwGzZTzKEu0ndJZyA56VtHmuP2EXp+vskb2rvACDJEPK62bRZVN4BAHBSBDwAgCMm3LFnD6VtXtQesYvS9ZMM794BcFwWGU7kLSrvAAA4CQIeAMAREu44gFVpm+vaI3axfffulyQXtbcA8IcWEfIAAHb2Q+0BAAD8Zrbsb5P8mOSq8hROyybJTe0Re/A+4h3AsZskmZSuXyR5O5uO+9pmAIBanMADADgC23D3Msll3SWcqJvSjvskROn6N0nua+8A4JutM5zIm1feAQAwKgIeAEBFwh1P4HVpm1e1R+yidP2zDKfvABivdYQ8AICvJuABADyx2bK/SHKb4arMy6pjOHWPpW2e1x6xi9L1l0k+xtWZAKdiHSEPAOAvCXgAAE9kG+7uM4Q7MYJDWye5Lm2zqT3ke5Wuv0jyId6EBDhF6yRdkofZdLz/rgIAOBQBDwDgwIQ7KrkubbOqPWIXpevfZTitCsDp2iR5GyEPAOALAh4AwIHMlv1lfrsqU7jjKb0obfNQe8QuStffJnlXewcAT0bIAwD4jIAHALBn23D3Mk4OUce8tM1d7RG7KF1/leHqTOEb4PxsksyTvJ1Nm3XdKQAA9Qh4AAB7ItxxBFZJbk7g3buPSS4rTwGgvnmS10IeAHCOBDwAgB0JdxyJTYZ4N/Z3794neVZ7BwBHZR4hDwA4MwIeAMB3mi37SYb37cQGjsFdaZt57RG7KF1/n+RN7R0AHK15hqs1R/3NKgAAX0PAAwD4Rttw9zLJpO4S+JeH0jYvao/YRen6SYZ37wDgrywynMhbVN4BAHAwAh4AwFcS7jhSq9I217VH7GL77t0vSS5qbwFgVBYR8gCAE/VD7QEAAMdutuxvk0wj3HF8Nkme1x6xB+8j3gHw7SZJJqXrFxHyAIAT4wQeAMAf2Ia7l0ku6y6BP3RT2nF/sbJ0/Zsk97V3AHAS1hlC3rzyDgCAnQl4AAD/RrhjJF6XtnlVe8QuStc/y3D6DgD2aR0hDwAYOQEPACDJbNlfJHkW4Y5xWJS2uak9Yhel6y+TfIyrMwE4nHWEPABgpAQ8AOCsbcPdfZIfIyQwDusk16VtNrWHfK/S9RdJPiS5qr0FgLOwTtIleZhNx/vvTwDgvAh4AMBZEu4YsevSNqvaI3ZRuv5dktvaOwA4O5skbyPkAQAjIOABAGdFuGPkXpS2eag9Yhel62+TvKu9A4CzJuQBAEdPwAMAzsJs2V9meN/utu4S+G7z0jZ3tUfsonT9VYarM8VzAI7BJsk8ydvZtFnXnQIA8CUBDwA4acIdJ2KV5Ma7dwBwMPMkr4U8AOBYCHgAwEkS7jghmwzxbuzv3r1P8qz2DgD4C/MIeQDAERDwAICTMlv2kwzv2wkFnIq70jbz2iN2Ubr+Psmb2jsA4BvMM1ytOepvoAEAxkvAAwBOwjbcvUwyqbsE9uqhtM2L2iN2sX337mPtHQDwnRYZTuQtKu8AAM6MgAcAjJpwxwlblba5rj1iF9t3735JclF7CwDsaBEhDwB4Qj/UHgAA8D1my/42yTTCHadpk+R57RF78D7iHQCnYZJkUrp+ESEPAHgCTuABAKOyDXcvk1zWXQIHdVPacX9hsHT9qwz/rALAKVpnCHnzyjsAgBMl4AEAoyDccUZel7Z5VXvELkrXP8tw+g4ATt06Qh4AcAACHgBwtGbL/iLJswh3nI9FaZub2iN2Ubr+MsnHuDoTgPOyjpAHAOyRgAcAHJ1tuLtP8mNEAM7HOsl1aZtN7SG7KF3/MclV7R0AUMk6SZfkYTYd97/TAYC6BDwA4GgId5y569I2q9ojdlG6/l2S29o7AOAIbJK8jZAHAHwnAQ8AqE64g7wobfNQe8QuStffJnlXewcAHBkhDwD4LgIeAFDNbNlfZnjf7rbuEqhqXtrmrvaIXZSuv0ryIQI8APyRTZJ5krezabOuOwUAGAMBDwB4csId/Msqyc2Y370rXX+RId559w4Avs48yWshDwD4MwIeAPBkhDv4wiZDvBv7u3fvkzyrvQMARmgeIQ8A+AMCHgBwcLNlP8nwvp0v8sNv7krbzGuP2EXp+vskb2rvAICRm2e4WnPU39QDAOyXgAcAHMw23L1MMqm7BI7Oqbx797H2DgA4IYsMJ/IWlXcAAEdAwAMA9k64gz+1Km1zXXvELrbv3v2S5KL2FgA4QYsIeQBw9n6oPQAAOB2zZX+bZBrhDv7IJsnz2iP24H3EOwA4lEmSSen6RYQ8ADhbTuABADvbhruXSS7rLoGj97y0zWPtEbsoXf8qwz/vAMDTWGcIefPKOwCAJyTgAQDfTbiDb/K6tM2r2iN2Ubr+WYbTdwDA01tHyAOAsyHgAQDfZLbsL5I8i3AH32JR2uam9ohdlK6/TPIxrs4EgNrWEfIA4OQJeADAV9mGu/skP8YX8OFbbJL8n9I2m9pDdlG6/mOSq9o7AIB/WSfpkjzMpuP+7wwA4D8JeADAnxLuYGfXpW1WtUfsonT9uyS3tXcAAL9rk+RthDwAOCkCHgDwu4Q72IsXpW0eao/YRen62yTvau8AAP6SkAcAJ0TAAwC+MFv2lxnet7utuwRG77G0zfPaI3ZRuv4qyYeI+AAwJpsk8yRvZ9NmXXcKAPC9BDwAIIlwB3u2SnIz5nfvStdfZIh33r0DgPGaJ3kt5AHA+Ah4AHDmhDvYu02GeDf2d+/eJ3lWewcAsBfzCEKWPvYAACAASURBVHkAMCoCHgCcqdmyn2R4384X6GG/7krbzGuP2EXp+vskb2rvAAD2bp7has1Rf6MRAJwDAQ8Azsw23L1MMqm7BE7SvLTNXe0Ru9i+e/ex9g4A4GDWGSLeQ+0hAMAfE/AA4EwId3Bwq9I217VH7GL77t3HJJeVpwAAu9tkeJf3pwzRbj2bNouagwCAr/dD7QEAwGHNlv1tkmmEOzikTZLntUfswfuIdwAwNp9C3SrJr58+nk2bTdVVAMBOBDwAOFHbcPcyvhgPT+GutM269ohdlK5/FaEfAI7dIsNpul8/fTybjvu/QQCA3+cKTQA4McIdPLnXpW1e1R6xi9L1kyQfau8AAP5llSHU/ZzfTtStaw4CAJ6WgAcAJ0K4gyoWpW1uao/YRen6ywzv3l1UngIA52i9/fFTttFuNm1WNQcBAMfBFZoAcAJmy/4yybvaO+DMnNK7d+IdABzWp3fqfso22s2mzaLmIADguAl4AHAarmoPgDN0U9pmU3vELkrXv4lfPwBgnz6FulWGd+o+XX856v9mAACenoAHAKfhb7UHwJl5UdpxX29Vuv42yX3tHQAwYosMp+l+/fSxd+oAgH0R8ADgNExqD4Az8lja5qH2iF2Urr9K8qb2DgAYiVWGUPdzvFMHADwRAQ8AToMr8OBprJLc1R6xi9L1FxnezPTuHQB8ab398emdupVQBwDUIuABwMjNlv2k9gY4E5skd2N/9y7DyTvRH4Bz9vk7dT9nOFG3qLoIAODfCHgAMH6T2gPgTJzCu3f3SW5r7wCAJ7TIEOp+3f68mk1H/804AMAZEPAAYPz+p/YAOAPz0jbz2iN24d07AE7cIsO1l79++ng2bdb15gAA7EbAA4Dxm9QeACduVdrmFN69e197BwDswSpDqPv508feqQMATpGABwAjNlv2V0kuau+AE7ZJ8rz2iD14n+Sy9ggA+Abr7Y+ftj+vhDoA4JwIeAAwble1B8CJuyvtuK/fKl3/Kk7qAnC8Ntm+TZfhVN16Nm0WVRcBABwBAQ8Axu1vtQfACXsobfNYe8QuStdPkrysvQMAthYZQt2v259Xs2mzqboIAOBICXgAMG6T2gPgRC1K27yoPWIXpesv4907AOr4dKLu1wzRbj2bjvtEOwDAUxPwAGCkZsv+It60gkM4pXfvvJEJwCGtMrxP9/Onj71TBwCwHwIeAIzXpPYAOFHPSzvu67xK17+JNzIB2J/19sdPnz72Th0AwGEJeAAwXr44D/v3orTj/oJk6frbJPe1dwAwSpt8ef3lSqgDAKhDwAOA8fpb7QFwYh5L2zzUHrGL0vVXSd7U3gHAKCzy5fWXq9l03CfQAQBOiYAHAOM1qT0ATsg6yV3tEbsoXX+R5F28ewfAlz4/UbfIcP3luuYgAAD+moAHACM0W/aT2hvghGxyAu/eZTh552pdgPO1ypcn6tazabOquggAgO8m4AHAOPkiPezPi9KO+wucpevvk9zW3gHAk1hvf/z06WPv1AEAnB4BDwDGyft3sB/z0jbz2iN24d07gJO1yZfXX66EOgCA8yHgAcA4TWoPgBOwSvKi9ohdbN+9e197BwA7W2Q4TffpnbrVbDr6q50BANiBgAcAIzNb9pdJLmrvgJE7lXfv3ie5rD0CgK/2+Tt1iwzXX64r7gEA4EgJeAAwPpPaA+AE3JV23F8wLV3/Kn49ADhW6wyx7uftz+vZdNzvrQIA8LQEPAAYn/+pPQBG7qG0zWPtEbsoXT9J8rL2DgCy3v746dPH3qkDAGAfBDwAGJ9J7QEwYovSNt69A+BbbTKcpFtleKduFe/UAQBwQAIeAIzIbNlfJLmqvQNGapPkee0Re/Ah3sEEOKRFhtN0v24/FuoAAHhyAh4AjIt4B9/veWnH/QXY0vVv4tcBgH1ZZQh1P2cb7WbTcb+PCgDA6RDwAGBcJrUHwEi9KO243yQqXf8syX3tHQAjtM4Q637e/ryeTZtV1UUAAPAXBDwAGJe/1R4AI/RY2uah9ohdlK6/SvKu9g6AI7fe/vjp08ez6bi/eQMAgPMl4AHAuLg6D77NOsld7RG7KF1/kSHeefcOYLDJcJJuleGdulW8UwcAwIkR8ABgJGbL/iq+gA/fYpMTePcuiXfvgHO2yPDNGL/GO3VQ3d//8c+LDP9dcpXkv7c/3/2///u/1jV3AcApEvAAYDwmtQfAyLwo7bjfOCpdf5vktvIMgKewyhDqPr1TtxLqoK6//+OfkySX2x9/yxDrfu8bCidJ5k+zCgDOh4AHAOPxP7UHwIjMS9vMa4/YhXfvgBO1zm/v1K0ynKgb9TdbwNj9/R//vMoQ6a4yhLrL7Y+v9bcIeACwdwIeAIzHpPYAGIlVkhe1R+xi++7d+9o7AHbw6Z26n7KNdrNps6g5CM7d3//xz8v8dv3l/+S3aLcrV30DwAE0tQcAAH9ttuwvk/xSeweMwCbJdWnHfe1a6fr3SZ7V3gHwFT6FulWGd+o+XX859vdHYbS2oe4ywzcA/vdnHx/S//5///d/+eceAPbICTwAGAff1Qpf5+4E4t2riHfAcVpkOE3366ePvVMH9fz9H/+8yG8n6v77s49/7526Q7vK8OsCALAnAh4AjMPfag+AEXgobfNYe8QuStdPkrysvQM4e6sMoe7n/Haibv3/2bt/3DaytV/ULw9uSODoG0Fzj8ByzMBlpkqsEVjKCVwrVNR2xNA+gHKJI7BGQGtDUNzSCDZ7BFcHYM4bVGlL7j9u26T41qp6HkBQffvbbf92m7ar6rfWejMDQd9NTldVPM6mexV5Rd3fqUKBBwBbpcADgDLYgQffdjUdD8y9A/gxy+br39GUdmdvB7eZgaDvJqer/XicTfcqHku7trPgEAC2TIEHAGWosgNAi91HxGF2iC34Eu1aSQ90x8Ocun9HU9qdvR1cZQaCvvvDnLoX8VjalarKDgAAXTPIDgAAfNvZzbqK+sU+8NdeT8dlv4ieztcfI+Jddg6gE66iLut+j8fjL+9TE0GPPZlTV0U9p24U3S27Xi5mQ7t4AWBL7MADgParsgNAi33oQHn3JpR3wI+7ino33e8P1+bUQZ4nRd1+1EXdw3WfdtdXUS8cAAC2QIEHAO33IjsAtNTldDx4nx1iE9P5ej8izrNzAK12G3VRdxfm1EErTE5XVTzOpitpTt1zexURn7JDAEBXKPAAoP2q7ADQQsuIOM4OsYnpfL0XdXnXp5X5wN9bNl8Pc+puFXWQa3K62o/H2XQvmu+jxEhtV/IMPwBoHQUeALTY2c26b8fuwPc6nI6Ln+n0Mbzogj66j2Y2XdS76pZnb8s+ChhKNzldjeJxNt2LeCzt+DGjyelqtJgNl9lBAKALFHgA0G5eHMCfHU/HZe9Kmc7XRxFxlBwDeH5XURd1vzffb8/eFr/4AIr1ZE5dFfWculE47WLb9qPeRQwAbEiBBwDt9io7ALTMxXQ8uMgOsQlz76CTrqJ+Yf37w/XZ28EyLw7025Oibj/qou7h2skWz+9VRFxmhwCALlDgAUC72YEHj24j4iQ7xCaauXefs3MAP+026qLu7uHanDrINTldVVHvpBtFXR49XJOjyg4AAF2hwAOAljq7WT+sHAbqmVHHHZh7dx5eKkIJls3Xv5vvt4o6yDU5Xe3H42y6F833UWIk/prnFwDYEgUeALRXlR0AWqQLc+/eR8Sb7BzAV+6jmU0X9a665dnbwVVqIui5yelqFI+z6Z4ef0khJqerajEbXmXnAIDSKfAAoL28qIDap+l4UPQslel8XUXEr9k5oOeu4uvjL2/P3ha/qxeK9Yc5dS/isbSjfFXUf+YCABtQ4AFAe73KDgAtcDsdD8y9A37Ew46636Mp7c7eDpaZgaDvmjl1+/H1jrq9zEw8qxfZAQCgCxR4ANBeVXYASHYfEa+zQ2zBl/CSEp7DbXy9o25pTh3kaoq6UfP16sk1/VJlBwCALhhkBwAA/uzsZr0fEb9l54Bkr6fjsmdRTefrjxHxLjsHFG7ZfP374dqcOsg1OV3tR13MPT3+0vHvPPVyMRtaVAEAG7ADDwDaqcoOAMk+dKC8exPKO/gR9/H18Ze3ijrINTldjeJxNt3T4y/hn+xH/ec5APCTFHgA0E7m39Fnl9Px4H12iE1M5+tRRJxn54AWu4qvj7+8PXs7uM8MBH02OV3txWM597CjrkqMRPleRcRFdggAKJkCDwDaycpm+moZEcfZITYxna/3IuJzmHsHEV/vqLuK+vjLZWYg6LtmTt1+fL2jzt9ZbFuVHQAASqfAA4CWObtZj6Je9Qx9dDgdF78L52Mo4emf2/h6R93y7O3A0WmQqCnqRs3XqyfXsAujyelqbzEbln5fBwBpFHgA0D5VdgBIcjwdl/3CfzpfH0XEUXIMeE7L5uvfD9fm1EGuyelqP+pi7unxlxaS0AZVRFxmhwCAUinwAKB9XmQHgAQX0/HgIjvEJqbz9X7Uu++gC+7j6+MvbxV1kGtyuhrF42y6X8KcOtpvPxR4APDTFHgA0D5VdgDYsduIOMkOsQlz7yjcVdS76R7m1N2evS3+KFso1uR0tRePs+ke5tRVmZngJ73KDgAAJVPgAUD7OPKIPrmP+ujM0suC8zBXiPZ7OqfuKurjL5eJeaD3nsypexGPpZ3FIHRFlR0AAEo2yA4AADw6u1lXEfElOwfs0OF0PCj6aKXpfP0uHJ1JuyyjLuvumu/Ls7dlz5eE0jVz6h5m1b1qvo/yEsHOvF7MhlfZIQCgRHbgAUC7VNkBYIc+daC8q0J5R55l8/Xvh2tz6iBXU9SNoi7rXjy5hr7aj3rXNwDwgxR4ANAu5kTQF7fT8aArc+/gud1HvZPuNuo5dbdhTh2kmpyuRlGXc1XUc+oeroGvvYqIT9khAKBECjwAaBcrtOmD+4h4nR1iCz6HOUVs31XUu+l+b64VdZBocrrai8fZdL8036vMTFCYKjsAAJTKDDwAaImzm/V+RPyWnQN24PV0XPYxf9P5+mNEvMvOQdFuoy7q7qIp7c7eDpaJeaD3JqerKuqddC/isbSzUAM296/FbLjMDgEApbEDDwDaw+47+uBDB8q7N6G84/stoy7r7prvy7O3g9vURNBzf5hT96q5HuUlgs6rIuIiOQMAFEeBBwDtYf4dXXc5HQ/eZ4fYxHS+HkXEeXYOWmnZfP374frsbdllNZSumVP3sJPuRTyWdsBuvcgOAAAlUuABQHtU2QHgGS0j4jg7xCam8/VemHtHPcPxtvn6/eHanDrI0xR1o6jvpX55cg20Q5UdAABKZAYeALTA2c16LyL+v+wc8IxeTsdlHxs4na/PI+IoOwc7dRV1+fx7mFMH6Sanq7143FH3S5hTByX5n8VsaLELAPwAO/AAoB2q7ADwjE46UN4dhfKuy26jLuoe5tTdKuog1+R0VcXjbLpXoaiD0u1HvRgGAPhOCjwAaAfz7+iqi+l48Ck7xCam8/V+RHzMzsFWLONxTt1t1Dvqii6XoXST09V+PM6mexWPpR3QLVUo8ADghyjwAKAd9rMDwDO4jYiT7BCbMPeuWA9z6v4dTWl39nZwlRkI+q6ZU/dw5OWLeCztgH6wYBEAfpACDwDaocoOAFt2HxHH0/Gg9Fkn52EnSJs9FHW3Uc+pezj+svTPHRSrKepGUd/b/PLkGug3hT0A/KBBdgAA6Luzm3UVEV+yc8CWHU/Hg4vsEJuYztfvwtGZbXIV9W663x+uzamDPJPT1V487qj75cm1HcvA33m5mA0dXQ0A38kOPADIZzUqXfOpA+VdFcq7LLdRF3V38bijbpkZCPpucrqq4nE23atQ1AE/p4r673YA4Dso8AAgn3kQdMntdDzoytw7ntey+fp3NKXd2duBl3qQaHK62o/H2XQvmu+jxEhAt7zIDgAAJVHgAUC+KjsAbMl9RBxmh9iCz2FnyTY9zKn7dzSl3dnbwVVmIOi7P8ypexGPpR3Ac6qyAwBASczAA4BEZzfrUUT8JzsHbMnr6bjsYmY6X3+MiHfZOQp2FXVZ93s8Hn95n5oIeuzJnLoq6jl1o/ACHcj1r8VsuMwOAQAlsAMPAHJV2QFgSz50oLx7E8q773UV9W663x+uzamDPE+Kuv2oi7qHa7uJgbbZj/oeAgD4Bwo8AMhl/h1dcDUdD95nh9jEdL4eRcR5do4Wuo36JdtdmFMHrTA5XVVR76QbRX0f8XANUIJXEXGZHQIASqDAA4Bc5s1QumUUPvduOl/vhbl3y+brYU7draIOck1OV/vxOJvuRfN9lBgJYBs8/wDAd1LgAUCSs5v1w3FXULLD6bj4GWcfoz+/F++jmU0X9a665dnbso8+hdJNTlejeJxN9yIeSzuALqqyAwBAKRR4AJDHyzlKdzIdl71LazpfH0XEUXKM53IVdVH3e/P99uxt8WUrFOvJnLoq6jl1o/AiG+ihyemqWsyGV9k5AKDtFHgAkKfKDgAbuJiOB5+yQ2xiOl/vR737rnRXUR97+fvD9dnbwTIvDvTbk6JuP+qi7uG6z8f0AjxVRX3PAgB8gwIPAPK8yg4AP+k2Ik6yQ2yi0Ll3t1EXdXcP1+bUQa7J6aqKeifdKOq/1x+uAfh7L7IDAEAJFHgAkKfKDgA/4T4ijjsw9+482vuSfdl8/bv5fquog1yT09V+PM6mM6cOYDNVdgAAKMEgOwAA9NHZzXo/In7LzgE/4Xg6Hlxkh9jEdL5+F+04OvM+mtl0Ue+qW569HVylJoKem5yuRvE4m+7p8ZcAbNfLxWxogRIAfIMdeACQo8oOAD/hUwfKu6y5d1fx9fGXt2dvi9/FCMX6w5y6hx11VWIkgL7Zj/qeCAD4Gwo8AMhh7gOluZ2OB12Ye/flmX+ahx11v0dT2p29HSyf+ecEvqGZU7cfX++oK2n+JUAXvYqIi+wQANBmCjwAyFFlB4AfcB8Rh9khtuBzbO+l/W18vaNuaU4d5GqKulHz9erJNQDt43hiAPgHZuABwI6d3axHEfGf7BzwA15Px2XPZpvO1+8j4tef+EeXzde/H67NqYNck9PVftTF3NPjL70IBijP/yxmQ0eKA8DfsAMPAHbPS0ZK8qED5d2b+Ofy7j6+Pv7yVlEHuSanq1E8zqZ7evwlAN1QRcRldggAaCsFHgDs3qvsAPCdrqbjwfvsEJuYztejiDj/w398FV8ff3l79nZg9TckmZyu9uKxnHvYUVclRgJgN/ZDgQcAf0uBBwC7V2UHgO+wjG7Mvasi4v9EU9qdvR0sM8NA3zVz6vbj6x1125pNCUBZLGwEgG8wAw8AduzsZr3OzgDf4eV0PLjNDgGUqZlT9zCr7lXzfZSXCIA2WsyG3k0CwN/wlyQA7NDZzbqKiC/ZOeAfnEzHg0/ZIYD2a4q6UXx9/KU5dQB8r5eL2dCiMQD4C47QBIDdqrIDwD+4UN4BfzQ5XY3icTbdL2FOHQDbUUU9kxgA+AMFHgDs1ovsAPANtxFxkh0CyDM5Xe3F42y6hzl1VWYmADrtVURYPAYAf0GBBwC7VWUHgL9xHxHH0/HgPjsIsBuT01UV9U66F/FY2u0lRgKgfxy7DAB/www8ANiRs5v1fkT8lp0D/sbxdDy4yA4BbF8zp+5hVt2r5vsoLxEAfOVfi9lwmR0CANrGDjwA2B2rS2mrC+UdlK8p6kZR/33z4sk1ALRZFREXyRkAoHUUeACwO6+yA8BfuJ2OB8fZIYDvNzldjaIu56qo59Q9XANAicwJB4C/oMADgN2psgPAH9xHxGF2COCvTU5Xe/E4m+6X5nuVmQkAnkGVHQAA2kiBBwA7cHaz3gvzhmif4+l4sMwOAURMTldVPM6mexV1WbeXlwgAdsZxzwDwFxR4ALAbVXYA+IMP0/HgMjsE9M0f5tS9isfSDgB6a3K6qhaz4VV2DgBoEwUeAOyGVaW0ydV0PHifHQK6rJlT93D85Yt4LO0AgD+rIuIqOQMAtIoCDwB241V2AGiYewdb1BR1o6hfPP7y5BoA+H6elwDgDxR4ALAbVXYAaLyejgf32SGgNJPT1V487qj75cm1OXUAsDm71AHgDwbZAQCg685u1lVEfMnOARFxMh0PPmWHgLabnK6qeJxN9yoUdQCwCy8Xs+FtdggAaAs78ADg+VlNShtcKu/ga5PT1X48zqZ7FY+lHQCwe/sRocADgIYCDwCen3kOZLuNiOPsEJClmVP3cOTli3gs7QCA9ngVERfZIQCgLRR4APD8vCQm031EHJt7Rx80Rd0o6rmjvzy5BgDar8oOAABtYgYeADyjs5v1KCL+k52DXjuejgcX2SFgmyanq7143FH3y5Nrc+oAoGz/s5gNLTwDgLADDwCeW5UdgF67UN5RusnpqorH2XTm1AFAt1URcZkdAgDaQIEHAM/rRXYAeut2Oh6Ye0cxJqer/XicTfei+T5KjAQA7N6rUOABQEQo8ADguVXZAeil+4g4zA4Bf+UPc+pexGNpBwDgngAAGgo8AHgmZzfrhxlNsGvH0/FgmR2Cfnsyp66Kek7dKCxqAAC+rcoOAABtocADgOejvCPDh+l44NghduZJUbcfdVH3cL2XmQsAKNPkdFUtZsOr7BwAkE2BBwDPp8oOQO9cTceD99kh6K7J6aqKeifdKOoZNQ/XAADbsh8RV9khACCbAg8Ans+r7AD0irl3bM3kdLUfj7PpXjTfR4mRAID+eBURn7JDAEA2BR4APB9HaLJLr6fjwX12CMoyOV2N4nE23Yt4LO0AALJU2QEAoA0G2QEAoIvObtb7EfFbdg5642Q6HlilzN96MqeuinpO3Si8HAMA2utfi9lwmR0CADLZgQcAz6PKDkBvXCrveKqZU7cfdVG333ztZWYCAPhBVURcJGcAgFQKPAB4Hi+yA9ALtxFxnB2CHE1RN2q+Xj25BgAo3atQ4AHQcwo8AHgeVXYAOu8+Io7Nveu+yelqPx5n05lTBwD0gXsdAHrPDDwA2LKzm/UoIv6TnYPOO56OBxfZIdieyelqFI+z6Z4efwkA0Ef/s5gNLVYDoLfswAOA7fPCned2obwr1+R0tReP5dzDjroqMRIAQBvtR8RVdggAyKLAA4Dte5UdgE67nY4H5t4VoplTtx9f76jby8wEAFCIKhR4APSYAg8Ats8OPJ7LfUQcZofgz5qibtR8vXpyDQDAz7EwEoBeU+ABwPZV2QHorOPpeLDMDtFnk9PVftTF3NPjL5X2AADbV2UHAIBMg+wAANAlZzfrKiK+ZOegkz5Nx4OT7BB9MTldjeJxNt3T4y8BANidl4vZ8DY7BABksAMPALaryg5AJ10p757H5HS1F4/l3MOOuioxEgAAj6qIUOAB0EsKPADYrhfZAegcc++25MmcuhfxWNrtJUYCAODbPF8B0FsKPADYrio7AJ1zOB0P7rNDlKSZU/cwq+5V832UlwgAgJ9UZQcAgCxm4AHAlpzdrEcR8Z/sHHTKyXQ8+JQdoq2aom4UXx9/aU4dAEC3/GsxGy6zQwDArtmBBwDbU2UHoFMulXe1yelqFI+z6X4Jc+oAAPpkPyKW2SEAYNcUeACwPa+yA9AZy4g4zg6xa5PT1V48zqb7pfleZWYCACDdq4i4zA4BALumwAOA7XF0H9twHz2Ye/dkTt2LeCzt9lJDAQDQRlV2AADIoMADgC04u1k/7ByCTZ1Mx4Pb7BA78DG8jAEA4J95zgKgl/5XdgAA6IgqOwCdcDEdDy6yQ+xIp3cYAgCwPZPTVZWdAQB2TYEHANthVSibuo2Ik+wQO3SXHQAAgGJU2QEAYNcUeACwHa+yA1C0Xsy9AwCAn/QiOwAA7JoCDwC2o8oOQNGOp+PBMjsEAAC0VJUdAAB2TYEHABs6u1k7PpNNfJqOB5fZIQAAoMX2Jqcrz10A9IoCDwA2V2UHoFhX0/GgT3PvAADgZynwAOgVBR4AbM78O37GfUQcZocAAIBCeO4CoFcUeACwOStB+RmH0/HgPjtEoqvsAAAAFKXKDgAAu6TAA4ANnN2sRxExSo5BeU6m48FVdggAACjIaHK62ssOAQC7osADgM1U2QEozuV0PPiUHQIAAApUZQcAgF1R4AHAZl5kB6Aoy4g4zg4BAACFMr4AgN5Q4AHAZqrsABTjPsy9AwCATbzKDgAAu6LAA4DNWAHK9zqZjge32SEAAKBgVXYAANgVBR4A/KSzm3WVnYFiXEzHg4vsEC2jzAQA4IdNTldVdgYA2AUFHgD8vCo7AEW4jYiT7BBts5gNHSUKAMDPcAoKAL2gwAOAn2f+Av/E3DsAANguz2EA9IICDwB+npWf/JPj6XiwzA4BAAAd4jkMgF5Q4AHATzi7We9HxF52Dlrt03Q8uMwOAQAAHTOanK5G2SEA4Lkp8ADg51j1ybdcTccDc+8AAOB5VNkBAOC5KfAA4OeYu8DfuY+Iw+wQhVhmBwAAoEgvsgMAwHNT4AHAz6myA9Bah9Px4D47RCGW2QEAAChSlR0AAJ6bAg8AftDZzXovIkbZOWilD9Px4Co7BAAAdNz+5HRlJjkAnabAA4AfV2UHoJUup+PB++wQAADQE+aSA9BpCjwA+HHm3/FHy4g4zg4BAAA9UmUHAIDnpMADgB9npSd/ZO4dAADsloWVAHSaAg8AflyVHYBWOZ6OB7fZIQq1zA4AAECxLKwEoNMUeADwA85u1lV2BlrlYjoeXGSHKNjv2QEAACjW3uR0pcQDoLMUeADwYzwg8uA2Ik6yQwAAQI9V2QEA4Lko8ADgx5izQETEfdRHZ5p7BwAAeV5kBwCA56LAA4AfU2UHoBXMvQMAgHxVdgAAeC4KPAD4Tmc361FE7GXnIN2n6XhwmR0CAACI0eR0NcoOAQDPQYEHAN+vyg5AutvpeGDu3fY4ghQAgE2ZUw5AJynwAOD7mX/Xb/cR8To7RMc4hhQAgE15TgOgkxR4APD9rOzst8PpeGDHGAAA9zVo8gAAIABJREFUtIvnNAA6SYEHAN/h7Ga9Fx4M++zDdDy4yg4BAAD8SZUdAACegwIPAL6P8q6/LqfjwfvsEAAAwF+bnK6q7AwAsG0KPAD4PlV2AFIsI+I4OwQAAPBNVXYAANg2BR4AfB+D0fup+Ll38+v1m+wMAADwzF5kBwCAbVPgAcD3qbIDsHPH0/HgNjvEJubX66OI+H+zc/ydxWx4lZ0BAIBOqLIDAMC2KfAA4B+c3azNv+ufi+l4cJEdYhPz6/V+RHzMzgEAADuwNzldjbJDAMA2KfAA4J9V2QHYqduIOMkOsYn59XovIj5HxF52FgAA2JEqOwAAbJMCDwD+mXkK/XEf9dGZRc+9i4jziBg113aQAgDQB+aWA9ApCjwA+GdVdgB2pgtz795FxJsn/5FdeAAA9IGFawB0igIPAL7h7GY9isedTHTbp+l4cJkdYhPz63UV5t4BANBP+5PTlcVrAHSGAg8Avs0qzn64nY4HXZl7V5qidzwCANAqVXYAANgWBR4AfJs5Ct13HxGvs0Nsweco87jM0ucNAgDQHhZgAtAZCjwA+LYqOwDP7nA6HhRdIs2v1x/DZxUAACzABKAzFHgA8G1WcHbbh+l4cJUdYhPz6/WbiHj3D/+d0W7SAABAqio7AABsy/+THQAA2ursZl1lZ+BZXU7Hg/fZITbRFHPn3/FfHUXE8jmzAAB/6TYiriLi9/jz3NdR8/UqlA6wNZPT1f5iNjRnGYDiKfAA4O9V2QF4NsuIOM4OsYn59Xovyp17BwBddhsR/yciLhez4Xcf0z05Xb2JiLcR8ea5gkFPVPHnwhwAiqPAA4C/9yI7AM+m+Ll3EfExunHE620oywHohquI+LCYDa9+5h9ezIaXEXE5OV2NIuLXiDjaVjDomVcR8Sk7BABsSoEHAH+vyg7AsziZjgdFr8idX6+Pojsv9f5vdgAA2NB91MXdVgqDxWy4jIjjyelqHvVR2aNt/LjQI11Y5AYA8b+yAwBAG53drPfD0YRddDEdD4pejTu/Xu9HvfsOAMh3GxGvt1XePdXs5HsZEZfb/rGh40bNTlYAKJoCDwD+mlWb3XMbESfZITaxwdw7ZTQAbN9DefdsO/sXs+H9YjY8jIgPz/VzQEdV2QEAYFMKPAD4a6+yA7BV9xFx3IG5dz97jJZCGgC266G828m9xWI2fB8Rh1Hf0wD/zDxzAIqnwAOAv6bw6JYuzL17FxFvsnMAALGMHZZ3Dxaz4WVEvI66PAS+rcoOAACbUuABwB+c3az3QoHXJZ+m48FFdohNzK/XVXR37t0yOwAA/KDDXZd3D5rjOl+HuXjwTzzPAVA8BR4A/FmVHYCtuZ2OB12Ze9dVy+wAAPADjp9z5t33eDIX71NmDmi7yemqys4AAJtQ4AHAn1mt2Q33Uc+KKd3niNjLDgEAxMViNrzIDvFgMRueRMRxmIsHf6fKDgAAm1DgAcCfvcoOwFYcTseDZXaITcyv1x9jOy8e/vcWfgwA6LPbxWx4nB3ij5pC8XXY0Q5/xXMdAEVT4AHAn1XZAdjYh+l4cJUdYhPz6/WbiHi3pR/OrlIA+Hmt3tXfHOn5MiKukqNA27gHBqBoCjwAeOLsZl1lZ2BjV9Px4H12iE3Mr9ejiDjPzgEARETE4WI2XGaH+JZmLt7rMBcPntqbnK6UeAAUS4EHAF/zgFe2ZbR4hfwP6NPcO3N7AGizk8VseJUd4nuZiwd/4vkOgGIp8ADga+YklO1wOh4U/cJqfr0+jx69aGiO/QKANrpczIbF7Wh7Mhev6Hsi2BLPdwAUS4EHAF/rTXHSQSfT8aDoMmh+vT6KiKPkGABAxG3UO9mK1CyQ+VfU/zugz6rsAADwsxR4ANA4u1mPImKUHIOfczEdD4pbIf/U/Hq9HxEfs3MAAHEfEceL2bDoHWzNXLyXEXGRnQUSjSanq74cTQ9AxyjwAOBRlR2An3IbESfZITYxv17vRcR5PN/cu+qZflwA6KLjLh3xvJgNj6Pg3YSwBVV2AAD4GQo8AHj0IjsAP+w+Io5Ln3sXdXnn+FYAyPdpMRteZofYtmYu3sswF49+MgcPgCIp8ADgUZUdgB/Whbl37yLiTXYOACCuFrNh0bv6v8VcPHrMQjkAiqTAA4CIOLtZ74UHu9J8mo4HF9khNmHu3X9dZQcAoPeWEXGYHeK5NXP9Xoe5ePRLlR0AAH6GAg8Aasq7stxOx4OiV8g3c+++ZOcAACIi4rAptzpvMRveN3Pxir6Xgh8xOV1V2RkA4Ecp8ACgVmUH4LvdRzdWyH+OiL3sEABAHDfHS/bKYjb8FPVuvF4Ul/SeBZsAFEeBBwA1g83LcTgdD5bZITYxv16/jx2Xxs1xnQDA1y4Ws+FFdogsi9nwKiJehrl4dJ/nPQCKo8ADgJpyowwfpuPBVXaITcyv128i4teEn9puPwD42m1zlGSvLWbDZZiLR/dV2QEA4Ecp8ADovbOb9X4oN0pwNR0P3meH2MT8ej2KiPPsHABAZ47k3oonc/E+ZGeBZ7I3OV2NskMAwI9Q4AGA1ZglWEY3XrKZe/fX/p0dAIDeOWx2nvHEYjZ8H/U9l7l4dFGVHQAAfoQCDwAiXmQH4B8dTseDol8kza/X5+GoVgBog5Nm9ht/YTEbXkZ9pKa5eHSNOXgAFEWBBwBWYrbdyXQ8KPoF0vx6fRQRR8kxAICIy8Vs+Ck7RNstZsPbqEu8y+wssEUW0wFQFAUeAL12drPei4hRdg7+1sV0PCj6Jdv8er0fER+zc4TPOQDcRsRxdohSNHPxDsNcPLpjf3K6cpw9AMVQ4AHQd1V2AP7WbUScZIfYxPx6vRcR59GOuXej7AAAkOg+Io4Xs2HRR3JnMBePjrELD4BiKPAA6DtzENrpPiKOS597F3V55yUBAOQ7bo6F5Cc8mYu3TI4Cm6qyAwDA91LgAdB3ypV26sLcu3cR8SY7RyGK/rUGoPU+NQUUG2gK0JcRcZUcBTZhAScAxVDgAdB3VXYA/uRiOh5cZIfYRIvm3pWi9J2WALTX1WI2LPpI7jZp5uK9joiiZxTTa1V2AAD4Xgo8AHrr7GZdZWfgT26n48FxdohNNHPvvmTnAABiGfXsNrasKUWPwyIcCjQ5XTmFBYAiKPAA6LMqOwBfuY9uvGT7HBF72SH+wi/ZAQBgxw4Xs6GC6ZksZsOLMBePMlXZAQDgeyjwAOizF9kB+MrxdDxYZofYxPx6/T7a+0JglB0AAHbouJnZxjN6MhfPv2tK4jkQgCIo8ADosyo7AP/1YToeXGaH2MT8ev0mIn7NzgEAxEWzO4wdaObivYyIi+ws8J2q7AAA8D0UeAD00tnNehTtPOawj66m48H77BCbmF+vRxFxnp2jYMvsAAB0xu1iNix6nm6pmn/v/t1TgtHkdDXKDgEA/0SBB0BfVdkBiAhz74iIxWy4zM4AQCd05b6iWM3Ox5dR/1pAm+1nBwCAf6LAA6CvXmUHICIiXk/Hg6Jf8Myv1+fhBQAAtMGhRSH5mrl4/wpz8Wg3z4MAtJ4CD4C+UrjkO5mOB0W/2Jlfr48i4ig5xveyQxCALjtZzIZX2SGomYtHAarsAADwTxR4APTO2c16LxR42S6n48Gn7BCbmF+v9yPiY3aOH+AzD0BXXS5mw6LvK7qqmYt3kp0D/oJ7YwBaT4EHQB9V2QF67jYijrNDbGJ+vd6LiPOwqw0AshV/X9F1Tbn6OszFo2Ump6sqOwMAfIsCD4A+stoyz31EHJc+9y7qnXc+R9tV+mcCgN27j4jjxWzo75CWa443fRnm4tEuVXYAAPgWBR4AfWRgeZ4uzL17F+XMvStJ0Z8LAFIcL2ZDf38UYjEbLqPeiXeRmwT+60V2AAD4FgUeAH1UZQfoqYvpeHCRHWITBc69A4Cu+rSYDS+zQ2zk4G4vDu6OsmPs0mI2vDcXjxapsgMAwLco8ADolbObtWMPc9xOx4Oi59M0c+8+Z+cAAOJqMRt2oQD6GBHncXB3Hgd3vZqray4eLbE3OV15PgSgtRR4APRNlR2gh+4j4jA7xBZ8johRdohNzK/XVXYGANjQMrpwX1HvvDtq/q+jiPjSwxLvKuoSzzGoZFLgAdBaCjwA+sb8u907no4Hy+wQm5hfr9+H8hcA2uBwMRuWvWvr4G4/Is7/8J/uR8R/mv9fbzQzDF9HRNnHoVIyz4cAtJYCD4C+6dVLkRb4MB0Pin4h0+xa+zU7Rw+U/TIWgF04bgqfctW77L78zf93LyJ+6+lcvMOI+JCdhV6qsgMAwN9R4AHQG2c361EUfgRiYa6m48H77BCbmF+vR2Hu3a7cZQcAoNUuFrPhRXaILfgcdVH3LfVcvJ5ZzIbvoz4e1aIedmk0OV316vhaAMqhwAOgT+y+250uzb3zQA8AuW4Xs+FxdoiNHdx9jO/f7XMUB3d9nIt3GebisXtVdgAA+CsKPAD6xHyD3Xk9HQ+KXj09v15/DKUvAGTrxqKg+ljMdz/4T1VRH6nZq/uRJ3PxrpKj0B+9+j0GQDkUeAD0SZUdoCdOpuNB0aum59fro/jxl2wl8HICgNIcLmbDZXaIjdQF3Mef/KdHEfGlp3PxXkfEp+ws9IKFngC0kgIPgD5RXjy/y+l4UPSLlvn1epOXbG3Xq2O4ACjeyWI2vMoOsZH6CMzz2Ozv4PrHOLh7v5VMBVnMhicRcRzm4vG8quwAAPBXFHgA9MLZzbrKztADt1G/YCnW/Hq9jZdsAMDmLhezYdGLghrnsb1FZL/Gwd3nHs7Fu4j6SM1lbhK6bHK6qrIzAMAfKfAA6IsqO0DH3UfEcelz76LeeWenZo6r7AAAtEbxi4IiIpodc2+2/KO+ifpIzV7drzRz8V6G+wWeT69+TwFQBgUeAH1hrsHz6sLcu3cRcZSdAwB67j4ijhezYdmLgg7uqoj49Zl+9P2oS7zqmX78VnoyF+8iOwud5HkRgNZR4AHQF1ZUPp+L6XhwkR1iEx2fewcAJTludluV6+BuFBGfn/ln2Yu6xHv3zD9P6yxmw+Powg5N2sbzIgCto8ADoPPObtb7YabZc7mdjgdFv0Bp5t4990u2tniRHQAAvuHTYja8zA6xkXo+3efY3b3nxzi4O+/pXLyXUe/YhG0YTU5Xo+wQAPCUAg+APrCa8nncR8Rhdogt+BwRo+wQO9Krl3sAFOVqMRueZIfYgox5ukdR78Yb7fjnTdXs1PxX1DMTYRuq7AAA8JQCD4A+MM/geRxPx4NldohNzK/X78ODOgBkW0YXFgUd3B1F3jzd/Yj4LQ7uerVwrZmL9zLMxWM7nFYBQKso8ADogyo7QAd9mI4HRR9xNb9eVxHxa3YO/svqeYD+OlzMhmUfhVgXZ+fJKfaiLvGOknPsnLl4bEmVHQAAnlLgAdBpZzfrvejP8Yi7cjUdD95nh9jE/Ho9iv7MvStC8S9uAfhZx81RiOWq5899yY7xxHkc3GWXiTtnLh5bsD85XTlyHoDWUOAB0HVVdoCO6dLcOw/nAJDroildStfG+4qjOLj7rSkXe6Mpg1+Gnf38vF4dQwtAuynwAOg68++263A6HhS9qnl+vf4Y/X0wH2UHAIDGbXPsYdkO7j5GexeM9XUu3jIiXoe5ePycKjsAADxQ4AHQdb16YfHMTqbjwVV2iE3Mr9dHEfEuO0eiUXYAAIiu7OivZ821/b5iFBFf+jYXbzEb3jcF8Ul2FopjASgAraHAA6DrquwAHXE5HQ8+ZYfYxPx6vR8RH7NzAABx2OySKle9q62U+4q9qOfilZJ3axaz4aeod+MVfYIEO2UBKACtocADoLPObtZVdoaOWEZE0Udcza/X9Yur9s2n4WvL7AAAPLuTxWx4lR1iI/VcuRLvK97Fwd3nHs7Fuwpz8fh+e5PTlRIPgFZQ4AHQZR68NncfHZh7F/UKeZ+H9ltmBwDgWV02O6JKdx7l3le8ifpIzVLz/5Qnc/Euk6NQhio7AABEKPAA6DbzCzZ3Mh0Pil6tPL9ev4uIo+wcANBzt1H4jv6IiDi4ex91CVay/ahLvNL/d/yQZi7eYUR8yM5C673IDgAAEQo8ALqtyg5QuIvpeHCRHWIT5t79WXOcKADs0n1EHC9mw7J39B/cVRHxa3aMLdmLiM9xcPcuO8iuLWbD9xFxGObi8feq7AAAEKHAA6Cjzm7WoyhvLkmb3EbESXaITTRF1efsHC3UqyOzAGiF48VsWPSO/ji4G0U37ys+xsHdeQ/n4l1GfaRm2Z9Lnstocrrq1e8JANpJgQdAV1XZAQrWlbl3nyNilB0CAHruU1OWlKsutz5HdxeHHUV9pOYoOcdONaWyuXj8nSo7AAAo8ADoKnMLft7xdDxYZofYxPx6/T48dJdomR0AgK26WsyGRe/ob3yM7u9g34+I35pjQnvjyVy8T9lZaB3z1AFIp8ADoKuq7ACF+jQdD4pehTy/XlfRnfk0ffN7dgAAtmYZ9Zyxsh3cHUW9Q60P9qLeiXeUHWTXmqL5OMzF41HXS3sACqDAA6Bzzm7We+GB62dcTceDolfJm3sHAK1xuJgNyy5DDu72I+I8O0aC8zi4693/7sVseBH1kZrL3CS0RJUdAAAUeAB0kfLux91HF1bJR3yJ7s6nAYBSHDfzxcpVz737kh0j0VEc3P3W/HvojeZz+zIirpKj0AKT01WVnQGAflPgAdBFVXaAAh1Ox4OiV8nPr9d9mE+zDVV2AAA67aLZyVS6z2FR0H5E/KfZidgbzVy812EuHu6bAUimwAOgiwwc/zEn0/HgKjvEJubX6zcR8S47BwD03O1iNjzODrGxg7uP4cX9A3PxzMXrsxfZAQDoNwUeAF1UZQcoyOV0PCh6dfH8et3X+TRd5AUZQLm6cRx3XVRZFPS1vajn4n3MDrJrT+biuUfppyo7AAD9psADoFPObta9OuJnQ8uoVxUXa369rl8oOeKqK8qelwTQb4eL2XCZHWIj9VGRvSupfsC7OLj70tO5eP8K9yl9tDc5XY2yQwDQXwo8ALqmyg5QiPvowNy7qF+yKW0BINfJYja8yg6xkbqUsijon1VRH6nZq/uvZi7ey4i4yM7CzlXZAQDoLwUeAF1jTsH3OZmOB0WvIp5fr48i4ig5BgD03eViNiz6OO7GeVgU9L32oy7x3mQH2bVmxmPRJ1jww8xXByCNAg+ArqmyAxTgYjoeXGSH2IS5dxvxEgKAbbmNLpQZB3fvI6J3ZdSG9iLic/PvrleauXgvw1y8vlDsA5BGgQdAZ5zdrEcRMUqO0Xa3EXGSHWITzdy7z9k5AKDn7iPieDEbll1iHNxVEfFrdoyC/RoHd+fm4tFh+5PTVa8+3wC0hwIPgC6xOvLbujL37jwUtQCQ7bgpMcp1cDcKi4K24SjqIzVHyTl2qimvX4e5eH1QZQcAoJ8UeAB0iaMBv+14Oh4ss0NsYn69fh+OuOqsxWx4lZ0BgO/yaTEbXmaH2Ei9Y+xz1EdBsrn9iPit2dHYG4vZ8L6Zi1f0CRf8IwtFAUihwAOgS6rsAC32aToeFP2ibX69rsIRVwCQ7WoxG3ahrPgYXspv217UO/HeZQfZtcVs+Cnq3Xiln3TBX7NQFIAUCjwAusRLmL92NR0Pin7RZu4dALTCMiIOs0Ns7ODuKOpjH3keH+Pg7jw7xK41Jwm8DHPxuqjKDgBAPynwAOiEs5t1lZ2hpe6jCy/aIr6EI662RdENwM86bOZ+levgbj/qebo8r6M4uPutOaq0Nxaz4TLMxeukyenKPTQAO6fAA6ArquwALXU4HQ+KftE2v1474mq7evUiDYCtOV7MhmXvLKrLpC/ZMXpkPyL+05SmvfFkLt6H7CxsVZUdAID+UeAB0BUvsgO00Ml0PLjKDrGJ+fX6TUT0bo4KALTMxWI2vMgOsQWfw0KWXduLiN+aY0t7ZTEbvo/6JIyiF9PxX+bgAbBzCjwAuqLKDtAyl9Px4FN2iE3Mr9eOuOqnsnd3AHTPbbObqGwHdx/D/WKm8+bXoFcWs+Fl1Edqur8pX692kgLQDgo8AIp3drPeD6upn1pGRNEv2ubX672oyzu/rv1jlTpAe3Rjlm69+8uO/nzv4uDuSw/n4t1GXeJdZmdhI6PJ6WqUHQKAflHgAdAFVkN+rfi5dxFh7h0A5DtczIbL7BAbqeev9W7nV4tVUR+p2av7vGYu3mGYi1e6Xn1uAcinwAOgC8wjeHQ8HQ+KPqJnfr0+ioij5BidNr9ej7IzANB6J4vZ8Co7xEbqnV529LfPKCK+xMHdm+wgu2YuXvE8dwKwUwo8ALrASsjaxXQ8uMgOsQlz73ZmlB0AgFa7XMyGRc/SbZyH+8S22ouIz3Fw9z47yK49mYu3TI7Cj6uyAwDQLwo8AIp2drPeCy9mIiJuI+IkO8Qmmrl3n7NzAEDP3Ubhs3QjIppiqHc7vAr0axzcfe7pXLyXEXGVHIUf47kTgJ1S4AFQuio7QAvcR310ZulH8ZyHnWHUL44ByHEfEceL2bDse4qDuyoifs2OwXd7E/WRmqPsILvUzMV7HRFd2O3aG5PTVZWdAYD+UOABUDqrILsx9+59WCVP7f9mBwDoseNmZ1C56hLIjv7y7EfEb0352iuL2fAk6l2vZRfn/VFlBwCgPxR4AJSu74PEP03Hg8vsEJuYX6+rsEoeALJ9amZzlas+hvFz1PPVKM9e1Dvx3mUH2bXFbHgR5uKVou/PnwDskAIPgNJV2QES3U7HA3Pv+BlebALw1FWzC6h0H8PpDF3wMQ7uzns8F6/sXbDd588YAHZGgQdAsc5u1lV2hkT3Ua/SLd2XUCZl8OIBgAfLiDjMDrGxg7ujiDhKTsH2HEW9G69X94nNXLyXEXGRnYW/tTc5XbmXBmAnFHgAlKzPD06H0/Gg6DkZ8+u1VfIAkO9wMRsWfU8RB3f7EXGeHYOt24+I/zS/vr2ymA2Po56LRzv17jMJQA4FHgAl6+v8gQ/T8eAqO8Qm5tfrNxHRu/kmfJdldgCAHjluju0rV71D60t2DJ7NXkT81uyw7JVmLt7LqE/eoF36+hwKwI4p8AAoWR9XPl5Ox4P32SE2Mb9ej8Iqef7eMjsAQE9cNAVB6T6H47j74DwO7np3/9gU7P8Kc/HapsoOAEA/KPAAKNLZzXoUEaPkGLu2jMKP0plfr/fCizYAyHbbHNFXtoO7j+FFep8cxcGduXi0wWhyuurV5xCAHAo8AEpVZQdIUPzcu4gw964d/nd2AADS3EfEYXaIjdVHKjqOu3+qqI/U7N39ZFO6n2Tn4L+q7AAAdJ8CD4BSvcgOsGPH0/Gg6KNz5tfro4g4So5BrXcvvQD4r8PFbLjMDrGRurz5mB2DNKOI+NLTuXifIuJ1mIvXBubgAfDsFHgAlKrKDrBDF9Px4CI7xCbm12sv2gAg38liNrzKDrGR+vjE83Acd9/Vn4ODu/fZQXat+T38MszFy2ZBHADPToEHQHHObtZ70Z8Hptso/Kgcc+/4QVaUAzyPy2b3TunOoz/3gfyzX+Pg7nMP5+Ito96Jd5GbpNeq7AAAdJ8CD4AS9eWlzX3UR2eWXmicR33UEfyjxWxoNTnA9t1GxHF2iI3Vu63eZMegdd5EfaRmX54RIiJiMRvem4uXa3K6qrIzANBtCjwASlRlB9iRLsy9exdetAFApvuIOF7MhmUvCDq4qyLi1+wYtNZ+1CVelR1k18zFS9Wr0hiA3VPgAVCiPgwM/zQdDy6zQ2xifr2uwtw7AMh2XPzu5oO7UdTHccO37EVd4r3LDrJrzVy812Eu3q714bkUgEQKPABK1PWVjrfT8aDoo3CezL2jnarsAADsxKfFbFj0gqBmtplZuvyIj3Fwd97DuXi3UZd4Zf+eL0uVHQCAblPgAVCUs5v1fnT7Bc591A/epfOiDQByXS1mw6IXBDU+RvcXb7F9R1HvxuvV/WgzF+8wIj5kZ+mJvcnpapQdAoDuUuABUJoqO8AzO5yOB0XPr5hfrz9G93+deF5F/x4AaIFlRBxmh9jYwd1R1EUM/Iz9iPhPHNz1rgBezIbvo/4zwD3V86uyAwDQXQo8AErzIjvAM/owHQ+uskNsYn69fhMRvZs7wtaZ3wKwmcPFbFj2i/u6dDnPjkHx9iLit6YM7pXm+Fxz8Z5fl59PAUimwAOgNFV2gGdyOR0P3meH2MT8ej0KL9oAINtxMwurXPWxh1+yY9Ap53Fw17v71Cdz8a6So3RZlR0AgO5S4AFQjLOb9V5EjLJzPINlRBxnh9jE/Hq9F+beAUC2i8VseJEdYgvcU/AcjuLg7reezsV7HRGfsrN01P7kdNWrzxQAu6PAA6AkVXaAZ1L83LuI+Bj1nBEKMb9e+/UC6JbbxWxY9IKgiIg4uDNLl+e0H/WRmr27D1rMhidRLxos/bmjjXr3eQJgNxR4AJTkVXaAZ3A8HQ+KPuZqfr0+ioij5Bj8OCuFAbrjPiIOs0NsrJ5TZpYuz20UEV96OhfvIuojNZe5STqnyg4AQDcp8AAoSddWNl5Mx4OL7BCbaHZxfczOAQA9d7iYDZfZITZS74hyT8Gu7EU9F693n7lmLt7LMBdvm7q40BSAFlDgAVCSKjvAFt1GxEl2iE2Ye8cz+nd2AICCnCxmw6vsEBupZ5Kdh3sKdu9dHNx97vFcvIvsLB1RZQcAoJsUeAAU4exmXWVn2KL7qI/OLH3+xHnURxABADkuF7Php+wQW3Ae3TtpgXK8ifpIzd59Bpu5meXPzmyByemqd58fAJ6fAg+AUlTZAbbopANz795F/bIDAMhxG1148X5w9z7cU5BvP+oSr3efxWYu3suoFxny86rsAAB0jwIPgFK8yA6wJZ86MPeuCjNqumCUHQCAn3YfEceL2bDsF+4Hd1VE/JodAxr18fAHd++yg+xaMxfvX1EvDODndOV5FYAWUeABUIoqO8AW3E7Hg67MvaN8o+wAAPy04+aFe7mz1RAdAAAgAElEQVQO7kbhnoJ2+hgHd+c9nYv3MszF+1lVdgAAukeBB0Drnd2sR1GviC3ZfUQcZofYgs9R/q8FAJTs02I2vMwOsZG6GHFPQZsdRX2k5ig5x86Zi/fTRpPT1Sg7BADdosADoARVdoAtOJyOB8vsEJuYX68/Rjd+LWi/sneVADyfq8VsWPRu/sbHqGeOQZvtR8RvcXDXu8+quXg/rXefFQCelwIPgBK8yg6woQ/T8eAqO8Qm5tfrNxHRu3kgpPGyCODPltGF3fwHd0dR726CEuxFXeIdZQfZteaY3pdhYdWPKP25FYCWUeABUIKSVzJeTceD99khNjG/Xo8i4jw7BwD03OFiNix7gUO9k8k9BSU6j4O73n12F7PhMiJeh7l436vKDgBAtyjwAGi1s5v1XpRb4C2j8JXy8+u1GTXd9Ut2AAC+23GzG6Zc9dy7L9kxYANHcXD3W/NZ7o3FbHjfzMXrwvG9z63U51YAWkqBB0DbVdkBNnA4HQ/KXilvRk2XjbIDAPBdLpp5VKWzIIgu2I+I//R0Lt6nqHfjlf5886wmp6sqOwMA3aHAA6DtSn04PpmOB0WvlJ9fr4/CjBoAyHTb7Hwp28Hdxyh7URY8Ve8m7edcvKswF++fVNkBAOgOBR4AbVfiIPCL6XjwKTvEJubX6/2od99BhmV2AIAWuI/Cj+KOiGhKjnfZMWDL9qKei9e7++Unc/Euk6O01YvsAAB0hwIPgLarsgP8oNsofD5EM/fuPBxzRZLmxRBA3x0W/+dhfcxg7woOeuVdHNx96elcvMOI+JCdpYWq7AAAdIcCD4DWOrtZl3Z85n1EHHdg7t15lHt0KQB0wUlzVF256kLDgiD6oIr6SM3e3T8vZsP3Ue8ULv35Z5v2Jqer3n0WAHgeCjwA2qzKDvCDujD37l1EvMnOwU54oQrQTpeL2bDoo7gbFgTRJ/tRl3i9u49ezIaXUR+pWfRz0Jb5sw+ArVDgAdBmJc2/+zQdDy6yQ2zC3Lve8WIBoH1uI+I4O8TGDu7ehwVB9M9eRHxuPv+9spgNb8NcvKdKeo4FoMUUeAC0WSkFw+10POjC3Lsv2TkAoMfuI+J4MRuWfRTdwV0VEb9mx4BEv8bB3XmP5+J1YQfxpkp5jgWg5RR4ALTS2c16FBGj5Bjf4z7quQ+l+xyOVKRdltkBAHbsuNnFUq6Du1HU9xTQd0dRH6k5Ss6xc4vZ8CTqncRlL0bYzP7kdOXZCoCNKfAAaKtSVi0eTseDZXaITcyv1++jvHmDdN8yOwDADn1q5kiVq95tZEEQPNqPiN+aXam9spgNL6I+UnOZmyRVlR0AgPIp8ABoqxLmBnyYjgdX2SE2Mb9evwnHXAFApqtmx0rpPkY5C7BgV+pj6g/ujrKD7Fqzo/hlRFwlR8niz0MANqbAA6CtquwA/+BqOh68zw6xifn1ehQR59k5AKDHltGFo7jrcuIoOQW02Xkc3PXuvruZi/c6+jkXr4QFqQC0nAIPgLZq84rFZXThZZtjrnpvfr2usjMA9NzhYjYse07Uwd1+WBAE3+MoDu5+a46b7ZUnc/H6pMoOAED5FHgAtM7ZTetLhcPpeFD0y7b59fo82l2SAkDXHTdHzJWrLiK+ZMeAguxHxH+a4rtXmrl4LyOi6OeoHzE5XVXZGQAomwIPgDaqsgN8w8l0PCj6Zdv8en0Ujrmi/XrzcgfopYvmZXbp7OaHH7cXEb/1eC7evyKi6OepH9C7ohaA7VLgAdBGbZ0XcDEdD4qe3zC/Xu9HxMfsHPAd7rIDADyT28VsWP5Rcgd3H6Pdi66g7c6b30e90szFexkRF9lZdqCtz7UAFEKBB0AbtXGl4m1EnGSH2MT8er0X9YwaK+UBIMd9dGGObr1z6F12DOiAd3Fw96Wnc/GOo/tz8dr4XAtAQRR4ALTK2c16P9pXMN1HxHHpc++iLu88RAJAnsPFbLjMDrGRenZX73YNwTOqoj5Ss3f36T2YizeanK5G2SEAKJcCD4C2aeODaxfm3r2LiDfZOWidNv5+A+iqk8VseJUdYiP1LiG7+WH7RhHxJQ7uene/3oO5eFV2AADKpcADoG3aNifg03Q8uMgOsQlz7/gGL2ABduNyMRsWPUe3YTc/PJ+9iPgcB3fvs4Ps2mI2vI+I19HNuXgvsgMAUC4FHgBtU2UHeOJ2Oh50Ye7dl+wcANBjt9GFOU91qdC73UH8/+zdP3IbWZ4u7BcRn5kRlzu4nA0QpK1ADNUuHHEFIHwZotlWSVaaYjDaJ7gC0YGb4g1G20WsYHh3wBvRPj8jUTPV1V1VkvDnIDOfx5nuKol8WyMCyPOec34U8FOmqy9Dm4vX1NXLei5ep5+//o3z0gEA6C4FHgAH429/fz1Ke33MIXhJclE6xBZ8iVNWdNND6QAAW/CSZL4+XdJd09V5kp9Kx4ABeZf2Ss3j0kH2bX1a+W36Mxfv9C9//YfnMQB+iAIPgENyXjrAr8zfvxk9lw6xibvH1485rD9TABia+Xq+U3e1BcKX0jFggE6T/Lwu0AdlPS/0LP2Zi+fqYQB+iAIPgENyKA82n96/Gd2XDrGJu8fXd7FTHgBKum7qqtOfJ9ZX+DnND+W01+FPVx9KB9m3pq6e05+5eOelAwDQTQo8AA7Jf5YOkOTh/ZvRx9IhNnH3+Hqc5LZ0DjphXDoAQE89NHXVhzlOn3M4G6xgyD5nuhrc5/tfzcX7VDrLhg7hOReADlLgAXBIzgt/f3PvGBp/TwC27zl9+DwxXV0muSycAvgfl5mufl6fjB2Upq4+pn1d7epcPBshAPghCjwADsLf/v56XjpDkrfv34y6+lCYJLl7fL2NB0QAKOmiqatOf57IdHUap/nhEJ0m+a/1z+igrK8kfptuzsU7+stf/zG4/58BsDkFHgCHovQDzdX7N6MuPgz+t7vH18vYKU9/dPrnERiseVNX3X79ak/3fC0dA/hdR0l+Xp+SHZT16+vbJF2cL3peOgAA3aPAA+BQlJwLcP/+zei64Pff2N3j62naOTXQC50/vQIM0aKpq0XpEFvgKm7ohtsBz8W7SPfm4pk9DcB3U+ABcCjOC33fpyTzQt97K+4eX4/SXnNlsQ0Aynhq6qrTnyeSJNPV5zglAl1ymenq64Dn4s3Tnbl456UDANA9CjwAivvb31+PU6Z8ekky7/rcu7TlXekrSOmm49IBAHrgJclF6RAba6/j+1A6BvDdztNeqTm454H1qee3SZ7LJvkmx3/56z8GV7QCsBkFHgCH4LzQ9+3D3LsPSd6VzkFnHZcOANADF01dPZcOsZF24d9V3NBdx0m+Dngu3lmSh8JRvsV56QAAdIsCD4BDUGIewOL9m9GiwPfdGnPvAKC4q6auHkqH2Eh79Z6ruKH72p/l6epj6SD7tp6L9zbJoc81Lzn3HYAOUuABcAjO9/z9nt6/GXV6Ts167t2X0jlgxzp9Qhbovfumrg59sfhbuIob+uWnTFdfBjoX7yqHPRfPay0A30WBB0BRf/v761H2+yDTjzk1bXl3XDoE7NihLr4APKVdJO629qSOq7ihf96lvVJzcIXRgc/FOy8dAIBuUeABUNq+Hyrn79+Mnvf8Pbfq7vH1Yzz8AUApL0nmTV11e5PBdHWe5KfSMYCdOU1b4p2XDrJvv5qLd3C3Ofzlr/84L50BgO5Q4AFQ2vkev9en929G93v8flt39/h6HottbNH6OlYAvt18vTjcXdPVcVzFDUNwlLbE+1A6yL6t5+KdJVmUzvIb56UDANAdCjwAStvXIO+H929GH/f0vXbi7vH1OBbb2L7BXa0EsIHrpq46vRloPRfrS9qFfWAYPme6uh3oXLx5DuvK43HpAAB0hwIPgNLO9/A9+jT3bnAP3QBwIB6auroqHWILPsfmDRiiy7Sn8Qb3PLGei3eWw5ivfF46AADdocADoJi//f11X4tHb9+/GR3Cw9oPu3t8tdjGED2XDgCw9pw+bAaari7TLuIDw3Sa5L8yXQ3uuWJ99fF/pPxcvKO//PUfx4UzANARCjwASjrfw/e4ev9mVPohbSN3j6+XSQY3twKS/N/SAQDWLpq66vRmoPWC/W3pGEBxR0l+Xhf6g3JAc/HOC39/ADpCgQdASbu+///+/ZvR9Y6/x07dPb6epr3qCgAoY74+udFd7ZV5X0vHAA7KbaarQZb667l4Ja9E3tcceAA6ToEHQEnnO/zaTzmsYeXf7e7x9SjtTvnBzakAgAOxWM9O6jpzdIF/5zLT1c8DnYt3neRtyszFG9wVpgD8GAUeAEX87e+vx0mOd/TlX5LMuz73Lu3JOw937Np56QAAB+ppfUqj26arz/FaD/y+07RXag7uuaOpq4ckZ9n/XLzTv/z1H4MrTQH4fgo8AErZ5QNiH+befUhyWToHAAzUS5KL0iE21s64MkcX+DPHSb4OdC7ec9qTeIs9f+vzPX8/ADpIgQdAKbu693/x/s1osaOvvRfm3sF/6/opWqC7LtaLut3VnqbxeQL4Vu31/e2p3UFp6uqlwFy8wZ14BOD7KfAAKGUXDyxP79+MOn3V1Xru3ZfSOeBAdPokLdBZV+tr1bqrnWdlji7wIz5kuvoy4Ll4F9nPJrJdbWgFoEcUeACUcr7lr9ePq67a8u64dAgAGKj79QJu193G6Q7gx71Le6Xm4F5Hmrq6T3ul5q43kp3v+OsD0AMKPAD27m9/fz3fwZedv38zet7B192bu8fXj/EgBwClPCXp9En+JMl09THt4jvAJk7TlniDez1p6uopbYl3v8vv85e//mNwBSkA30eBB0AJ51v+ep/evxnt9OFq1+4eX8+T/FQ6B4Pk+h6A9iT/vKmrbs/enK7O4/MEsD3t9f7T1YfSQfZtPRfvIsmnHX6b8x1+bQB6QIEHQAnjLX6th/dvRh+3+PX27u7x9Tjm3gFASfP1iYvumq6O4/MEsBufM13dDnQu3sfsbi6ejXQA/CEFHgAlnG/p6/Rp7t3gHoYB4EBcr2cedVe7qO7zBLBLl2mv1DwunGPvdjgXzxWaAPwhBR4Ae/W3v7+eZnuLSxfv34w6fdXV3ePr53hwg3+rqauH0hmA3nto6uqqdIgt8HkC2IfTJD9nuhrc682v5uI9bPHLHv/lr/843uLXA6BnFHgA7Nu2Hvau3r8ZPWzpaxVx9/h6mWRw8yQA4EA8pw8n+aery7QnYwD24ShtiXdZOsi+refivU1yvcUvO7gyFIBvp8ADYN+2cc///fs3o20+NO3d3ePradrd8gBAGRdNXXX6JP/6FMxt6RjAIN1muhrk68/65PY825mLZw4eAL9LgQfAvm26w/A57cNSZ909vh6lXWwzp4ZDYNcvMETz9XVo3dXOvftaOgYwaJeZrn5evx4NSlNXi7RXaj5v+KXON80CQH8p8ADYm7/9/fUom5UFL+nB3LuYU8NhGdyCCzB4i/XCa9d9iddwoLyhz8U7y2Zz8Qb35wbAt1PgAbBP5xv+/qv3b0ad3i1/9/j6IebUAEApT01ddfokf5JkuvocpzaAw3Gc5OvA5+ItfvRr/OWv/zjfWiAAekWBB8A+bbK7cPH+zWixrSAlmHsHP+ShdACgN16SXJQOsbF2gfxD6RgAv9GOCWg3GAzOenPIj24QOd9iFAB6RIEHwD796IDupyRX2wyyb+u5d19K5wCAAbto6uq5dIiNtFfUDXJxHOiMD5muvg54Lt5Z2g0j3+NHn5MB6DkFHgD7dP4Dv6cvc+++pL1aBgDYv6umrh5Kh9hIuxh+G3PvgMN3nvZKzcHNd1vPxfuPtJtQv9Xg/pwA+DYKPAD24m9/fz3/wd86f/9m9LzFKHt39/j6Ma5F4YDdPb4el84AsEP3TV1dlw6xBbexyAt0x2naEu9d6SD7tp6Ld5Zvn4t39Je//sPrOwD/QoEHwL78yAPJ9fs3o/utJ9mju8fX8yQ/lc4Bf+K4dACAHXnKj88kOhzT1cckg1sEBzqvHSPQvoYNznfOxVPgAfAvFHgA7Mv33uv/8P7NyNw7AOBHvSSZN3XV7Wu4p6vz2AwEdNtPma5uBzwX723+fC6eOXgA/AsFHgD78j07Cl+SXOwqyB59jTk1sKnvmR8C8Gvz9Syi7pqujmMzENAPl2mv1DwunGPv1jNYz/LHn2vP9xIGgE5R4AGwc3/7++txvu+Kvov3b0ad3i1/9/j6Oa5BgW34f6UDAJ103dRVp6/hXp9U+RKbgYD+OE3y8/pk8aA0dfWc9iTe4nd+yfFf/voPr/cA/BMFHgD7cP4dv/bq/ZvRw45y7MXd4+u7JB9K5wCAgXpo6qrT13Cv2QwE9NFR2pN4l6WD7FtTVy/ruXi/9x51vsc4AHSAAg+AfRh/46+7f/9mdL3TJDt29/h6muS2dA74Tnb7An3xnD5cw90ubF8WTgGwS7eZrgb53NTU1XX+/Vw8mzYA+CcKPAD24fwbfs1zkvluY+zW3ePrUdryThlC11gsAPrioqmrTl/DnenKZiBgKC4zXf28vjJ4UH5nLt5/lkkDwKFS4AGwD39WDrykB3Pv4qorAChp3tTV05//sgPWLmJ/LR0DYI9Ok/zXevPCoPxqLt4vM1vPi4UB4CAp8ADYqb/9/fX8G37Z1fs3o04vuN09vl7GVVewC8+lAwCdsGjqalE6xBZ8iZP8wPAMfS7eRZJPSfKXv/7jvGwiAA6JAg+AXTv/k3+/eP9mtNhDjp0x9w526rl0AODgPTV11elruJMk09XnOH0BDFc7jqB9LRycpq4+pp3helw2CQCH5P8rHQCA3vuje/yfklztK8gurOfefSmdAwAG6iXtgme3tadOPpSOAXAAPqyv07zIctz1EQvfpamr+z//VQAMiRN4AOza780y6Mvcu9vYJUn3/a/SAQB+0MV6hlB3tQvVgzxxAvA7zpP8PMS5eADwawo8AHbmb39/Pc3vz3GZv38zet5jnK27e3z9mORd6RywBRZHgC66aurqoXSIjUxX7ZVx5t4B/NZx2rl4nrcAGCwFHgC7dP47//z6/ZtRp68HuXt8PU/yU+kcADBQ901dXZcOsQW3sYkC4Pe04wqmq4+lgwBACQo8AHZp/G/+2cP7NyNz74Bv1fVrdoHte0oyLx1iY+2CtJMlAH/up0xXX9anlgFgMBR4AOzS+W/++0uSiwI5tu1rXHUFe9HU1VPpDMBBeUkyb+qq2+X+dHUeJ/kBvse7tFdqHpcOAgD7osADYCf+9vfXo7RzC37t4v2bUacX3O4eXz/HVVcAUMq888V+u/jsJD/A9ztN8vN6EwQA9J4CD4BdOf/Nf796/2b0UCDH1tw9vr5L8qF0DgAYqOumrjo9Q3d9/duXOMkP8KOO0p7E81wGQO8p8ADYlf/81X++f/9mdF0syRbcPb6eJrktnQN25Lx0AIA/8dDUVadn6K45yQ+wHZ8zXXk+A6DXFHgA7Movi1PPSeYFc2zs7vH1KG15Z7c8AOzfc/owQ3e6ukxyWTgFQJ9cZrr6eX26GQB6R4EHwK6cr/9v5+fexW55KK3rryHAZi6auur268B05SQ/wG6cJvmv9essAPSKAg+Arfvb31/P1/9x/v7N6Klklk3dPb5exm55KK3TryPARuZNXXX7NaA9GfK1dAyAHjtK8vP6pDMA9IYCD4BdOE+yeP9mtCicYyPm3gFAUYumrhalQ2zBl7iGG2AfbjNdfS4dAgC2RYEHwK5clQ6wifXcuy+lcwDAQD01ddXpGbpJsl5IPi8dA2BAPmS6+mouHgB9oMADYOvevxl97MHcu9skx6VDwL6sT5wCHIKXJBelQ2ysvcrtQ+kYAAN0nvZKTZ9vAeg0BR4A/Mbd4+vHJO9K54A9s0sZOBQXTV09lw6xkXbR2DVuAOUcJ/lqLh4AXabAA4BfuXt8PU/yU+kcADBQV01dPZQOsZH22rbb2BgBUFr7ejxdfSwdBAB+hAIPANbMvYOD9X9KBwD24r6pq+vSIbbgNolr2wAOx0+Zrr6YiwdA1yjwAOB/fI3d8gBQwlOSeekQG2tPebiGG+DwvEt7paYNFgB0hgIPAJLcPb5+jt3yAFDCS5J5U1cvpYNsZLo6j2u4AQ7ZadoS77x0EAD4Fgo8AAbv7vH1XZIPpXNAYcelAwCDNW/q6ql0iI1MV8dxDTdAFxylLfE8/wFw8BR4AAza3ePrcdpZNTB0x6UDAIN03dTVfekQG2lnKn2Ja7gBuuRzpqtbc/EAOGQKPAAG6+7x1YIbAJTz0NTVVekQW+AaboBuukx7Gs/zIAAHSYEHwJBZcINu6PbVesC/85zkonSIjU1Xl2kXgAHoptMk/5XpynMhAAdHgQfAIN09vl7Gght0xUvpAMDWXTR11e2f7Xax1zXcAN13lOTn9aYMADgYCjwABufu8fU07ek7AGD/5k1ddftkbXvd2tfSMQDYqttMVzZmAHAwFHgADIq5d/C7/nfpAMAgLJq6WpQOsQU+SwD002WmK3PxADgICjwAhuY2yXHpEHCAjksHAHrvqamreekQG5uuPic5Lx0DgJ05T3ulprl4ABSlwANgMO4eXz8keVc6BwAM0EuSi9IhNtbOR/pQOgYAO3ec5Ku5eACUpMADYBDuHl/PY+4ddNVz6QDAxi6aunouHWIj7UkMnyUAhuMo7Vw8r/0AFKHAA6D3fjX3Duigzi/6A1dNXT2UDrGRdhbSbcy9AxiiD5muvpiLB8C+KfAAGIIvseAGACXcN3V1XTrEFtwmMQsJYLjepb1S03sBAHujwAOg1+4eXz+nHUIO/DElN7BtT0nmpUNsbLr6GDN0AWg3cnzNdOU9AYC9UOAB0Ft3j6/vknwonQM6wm5iYJteksybunopHWQj09V5kp9KxwDgYLTjGaYrz5kA7JwCD4Beunt8PU573RUAsH/zpq6eSofYyHR1HDN0Afj3Pme6ujUXD4BdUuAB0Dt3j6/trkhXAkKfPJcOAHyz66au7kuH2Ei7IOuzBAB/5DLtlZrHhXMA0FMKPAD66HNcBwh981w6APBNHpq6uiodYgt8lgDgW5wm+TnTlfcMALZOgQdAr9w9vl6m3QkJAOzXc5KL0iE2Nl1dxmcJAL7dUdoS77J0EAD6RYEHQG/cPb6ept0xDwDs30VTVy+lQ2ykPUFhhi4AP+I205X3EAC2RoEHQC+Yewebu3t8PS+dAeiseVNXT6VDbKSde/e1dAwAOu0y09XP6/cUANiIAg+AvrhNclw6BAAM0KKpq0XpEFtgIxAA22AuHgBbocADoPPuHl8/JHlXOgewU92+lg/666mpq3npEBubrj4nOS8dA4DeOE7y1Vw8ADahwAOg09ZX/pl7B/23Kh0A+BcvSS5Kh9hYu7j6oXQMAHrnKO1cPM+rAPwQBR4AnfWruXcAwP5dNHX1XDrERtrrzSysArBLHzJdfTUXD4DvpcADoMvMqgGAMq6aunooHWIj7ULqbXyWAGD3ztNeqWkuHgDfTIEHQCfdPb6aVQPbZ0EB+Bb3TV1dlw6xBbfxugfA/pymLfHMbwfgmyjwAOicu8fXdzGrBnbBKRTgzzwlmZcOsbHp6mMSC6gA7Fs7BqJ9HwKAP6TAA6BT7h5fj9PumAcA9uslybypq5fSQTYyXZ0n+al0DAAG7adMV55rAfhDCjwAOuPu8bXdreiUEAzRQ+kAQOZNXT2VDrGR6eo47WcJAACAg6bAA6BLPsesGgAo4bqpq/vSITYyXdkIBMCheEpyVToEAIdNgQdAJ9w9vl4muSwcAwCG6KGpqz4sMtoIBMAheElykeW421dSA7BzCjwADt7d4+tp2kU3YLfGpQMAB+c5yUXpEBubri5jIxAAh+Eiy/Fz6RAAHD4FHgAHbT337jauu4J98HMG/NZFU1fdPiEwXZ2m/SwBAKVdZTl+KB0CgG5Q4AFw6G7juisAKGHe1NVT6RAbaefefS0dAwCSLLIcX5cOAUB3KPAAOFh3j68fkrwrnQM4CN0uEaB7Fk1dLUqH2IIvcboYgPKekvRhniwAe6TAA+AgmXsH/Frnr/CDbnlq6mpeOsTGpqvPSc5LxwBg8F7Szr3zeRaA76LAA+DgrOfeue4KAPavXWTsuunqMsmH0jEAIG1591w6BADdo8AD4BC57grKOC4dACjuoqmr59IhNjJdOcUPwKG4ynL8UDoEAN2kwAPgELlaBMo4Lh0AKOqqqauH0iE2Ml0dJbmNjUAAlLfIcnxdOgQA3aXAA+AQzdMO+QYA9uO+qas+LDLeJjktHQKAwXtKclU6BADdpsAD4ODMJqOXtCWek3jAryn2YTee0r7vdtt09THJu9IxABi8dp7scux5FoCNKPAAOEizyagfi4nANlkEge17STJv6qrbP1/T1XmSn0rHAIC05d1z6RAAdJ8CD4CDNZuM7pN8Kp0DAHps3tRVt0+3TlfHSb6UjgEASa6yHD+UDgFAPyjwADhos8noY5L70jlgKO4eX49KZwD25rqpq26/x05XR2nLO69dAJS2yHLch3myABwIBR4AXTCP2VewL6elAwB78dDU1VXpEFvwOV63ACjvKUkf3lcBOCAKPAAO3mwyeklb4nV7Pg8AHIbnJBelQ2xsurpMclk4BQC0z6vLsedVALZKgQdAJ8wmo6e0JR4wXM+lA0BPXDR11e1FxunqNMlt6RgAkLa8c2MMAFunwAOgM2aT0X2ST6VzAMX839IBoAfmTV11e5GxnXv3tXQMAEjyKctxt+fJAnCwFHgAdMpsMvqY5KFwDADookVTV4vSIbbgS5Kj0iEAGLz7LMcfS4cAoL8UeAB00UVcpQcA3+OpqavuX0U9XX1Ocl46BgCDZ8QDADunwAOgc2aT0UvaEq/b83vgMJ2XDgBs3S/vm902XV0m+VA6BgCD95J27p3nUQB2SoEHQCfNJqOnJFelcwBAB1w0dfVcOsRGpqvTJJ9LxwCAtOVdt+fJAtAJCjwAOhcSFQMAACAASURBVGs2GS2SXJfOAeyNXc7w/a6aunooHWIj09VRktuYewdAeZ+yHN+XDgHAMCjwAOi02WR0leShdA5gL+x0hu9z39RVHza63CY5LR0CgMG7z3L8sXQIAIZDgQdAH1wkeS4dAgAOyFOSeekQG5uuPiZ5VzoGAIPXj/dVADpFgQdA580mo5e0JZ7r9QCgfT+cN3XV7ffF6eo8yU+lYwAweC9p5951+30VgM5R4AHQC7PJ6CnJVekc0AP/WToAsLF5U1fdvnJ2ujpO8qV0DABIW951+30VgE5S4AHQG7PJaJGkD7N+AOBHXTd1dV86xEamq6O05d1R6SgADN6nLMfdfl8FoLMUeAD0ymwyukryUDoHABTw0NRVH06jf05yWjoEAIN3n+X4Y+kQAAyXAg+APrpI8lw6BLBdTV09lM4AB+w57ftft01Xl0kuC6cAgKck89IhABg2BR4AvTObjF7SLmIaMg7AUFw0ddXt973p6jTJbekYAAzeS9q5d91+XwWg8xR4APTSbDJ6StKHa8QA4M/Mm7p6Kh1iI+3cu6+lYwBA2vKu2++rAPSCAg+A3ppNRosk16VzQMeYOwXdsmjqalE6xBZ8SXJUOgQAg/cpy/F96RAAkCjwAOi52WR0leShdA7oEAvo0B1PTV11fz7PdPU5yXnpGAAM3n2W44+lQwDALxR4AAzBRZLn0iEAYIt+mffabdPVZZIPpWMAMHjPSbq/KQaAXlHgAdB7s8nol0VOQ8ih+x5KB4ADcdHU1XPpEBuZrk6TfC4dA4DBa58Xl2PPiwAcFAUeAIMwm4yeklyVzgEAW3DV1NVD6RAbma6OktzGtb0AlHeV5fipdAgA+C0FHgCDMZuMFkmuS+cAgA3cN3XVh/ey2ySnpUMAMHjXWY4XpUMAwL+jwANgUGaT0VUSuyvhD9w9vh6XzgD8W0/pw3ye6epjknelYwAweA9Zjt3SAsDBUuABMERvYx4e/JHj0gGAf/GSZN7UVbffv6ar8yQ/lY4BwOA9p52TDgAHS4EHwODMJqOXtCUeAHTFvKmrbp8gn66Ok3wpHQOAwXtJcpHluNubYgDoPQUeAIM0m4z6cQ0ZDE+3Cwz4MddNXd2XDrGR6eoobXl3VDoKAIN3leXYZ0oADp4CD4DBmk1GiySLwjGA7/P/SgeAPXto6qoP83k+JzktHQKAwbvOcrwoHQIAvoUCD4BBm01G8zjRA8Bhek4f5vNMV5dJLgunAICHLMd92BQDwEAo8ACgnYdn/gH8D1fcwWG4aOqq2+9P09VpktvSMQAYvOf0YVMMAIOiwANg8GaT0UvaEg9oueYOyps3ddXtE+Lt3LuvpWMAMHgvSS6yHHd7UwwAg6PAA4Aks8noKcm8dA4ASLJo6mpROsQWfIkTvQCUd5XluNubYgAYJAUeAKzNJqNFkkXhGMAfey4dAHbsqamr7m8oma4+JzkvHQOAwbvOcrwoHQIAfoQCDwB+ZTYZzZPYnQmH67l0ANih9oqvrpuuLpN8KB0DgMF7yHJ8VToEAPwoBR4A/Ku3aRdRAWCfLpq6ei4dYiPT1WmSz6VjADB4z+nDphgABk2BBwC/MZuMXtKWeDBU/6t0ABigq6auHkqH2Mh0dZTkNubeAVBWe6J9ObYpE4BOU+ABwL8xm4yeknR/BhH8mNPSAWBg7pu6ui4dYgtu4/UDgPKushwbiwBA5ynwAOB3zCajRZJF4RgA9Fs/NoxMVx+TvCsdA4DBu85yvCgdAgC2QYEHAH9gNhnN0y6uAofBVUj0yUuSeVNX3f57PV29S/JT6RgADN5DluOr0iEAYFsUeADw595GaQAHoakrhTp9Mu/83+np6jjt1ZkAUFI79w4AekSBBwB/YjYZvaQt8QBgW66burovHWIj09VRki9JjkpHAWDw3mY5tukSgF5R4AHAN5hNRv2YUQTAIXho6qoPV3x9TnJaOgQAgzfPctztE+0A8G8o8ADgG80mo0WSReEYsA/npQNAjz2nD1d8TVcfklyWjgHA4C2yHC9KhwCAXVDgAcD3uUpidycAP+qiqatuX/E1XZ2mPX0HACU9ZTl2SwoAvaXAA4DvsJ6Hd5F2SDpQhp8/umre1FW3N4G0c+++lo4BwOCZUw5A7ynwAOA7zSaj5/Th+jPorm4XIAzVoqmrRekQW/A1yVHpEAAM3tssxzZ1AdBrCjwA+AGzyegh7XWaAPBnnpq66v4VX9PV5ySnpWMAMHjzLMc2dAHQewo8APhBs8noOsmidA4ADtovVy9323R1meRD6RgADN4iy/GidAgA2AcFHgBs5iqu86OH7h5fnbKB7bho6uq5dIiNTFenST6XjgHA4D1lOe7+iXYA+EYKPADYwGwy+uVkhfkL9I0ZV7C5q6auHkqH2Mh0dZTkS7wmAFDWS5K3pUMAwD4p8ABgQ7PJ6Dl9uB4NgG26b+rqunSILbhNclw6BACD9zbLsU2TAAyKAg8AtmA2GT2kvU4T2L3/UzoA/ImnJN2/4mu6+pjkXekYAAzePMuxsQUADI4CDwC2ZDYZXSdZlM4BQFEvSeZNXXX7lMB09S7JT6VjADB4iyzHi9IhAKAEBR4AbNdV2pMXAAzTvKmrbr8PTFfHaa/OBICSnrIcd/9EOwD8IAUeAGzRbDJ6STsPr9snL8DMK/gR101d3ZcOsZHp6ijJlyRHpaMAMGgvSd6WDgEAJSnwAGDLZpPRc9oSD7rsuHQA6JiHpq76MAv1c5LT0iEAGLy3WY5tigRg0BR4ALADs8noIe11mgD033P6sHFjuvqQ5LJ0DAAGb57luNvXUQPAFijwAGBHZpPRdZJF6RzQQxZ0ODQXTV11+5TAdHWa9vQdAJS0yHK8KB0CAA6BAg8AdusqygbYtm4XJfTNvKmrbr/Ot3PvvpaOAcDgPWU5npcOAQCHQoEHADs0m4xe0l6rpnAA6J9FU1eL0iG24GuSo9IhABi0X56bAIA1BR4A7NhsMnqOh1G653+XDgAH7qmpq+6fEpiuPic5LR0DgMG7yHL8XDoEABwSBR4A7MFsMnpIe50mdMVx6QBwwPpxSmC6ukzyoXQMAAbvKsvxQ+kQAHBoFHgAsCezyeg6yX3pHABs7KKpq+fSITYyXZ0m+Vw6BgCDt8hyfF06BAAcIgUeAOzXPMlT6RDQcc+lAzBoV01dPZQOsZHp6ijJl5h7B0BZT3FLCQD8LgUeAOzRbDJ6SVvivZTOAl3V+ZNPdNl9U1d9OCVwG9fkAlBWex31cuy5CAB+hwIPAPZsNhk9pS3xAOiOfrx2T1cfk7wrHQOAwbvIcvxcOgQAHDIFHgAUMJuM7pN8Kp0D/oCr9eB/vCSZN3XV7VMC09W7JD+VjgHA4F1lOX4oHQIADp0CDwAKmU1GH5Pcl84Bv+O0dAA4IPOmrro9v3S6Ok57dSYAlLTIctyH66gBYOcUeABQ1jzttWwAHKbrpq66vdliujpK8iVO1gJQ1lOSq9IhAKArFHgAUNBsMnpJW+J1+1o22L/n0gEYhIemrvqw0Pg5TtUCUNZL2rl3nnsA4Bsp8ACgsNlk9JS2xAO+3XPpAPTec5KL0iE2Nl19SHJZOgYAg3eR5fi5dAgA6BIFHgAcgNlkdJ/kU+kcAPy3i6auun1KYLo6TXv6DgBKuspy/FA6BAB0jQIPAA7EbDL6mKTbc5YA+mHe1FW355O2c+++lo4BwOAtshxflw4BAF2kwAOAwzJPO9wdirt7fD0vnQEKWDR1tSgdYgu+JjkqHQKAQXtK0odZsgBQhAIPAA7IbDJ6SVvidfvaNoBuemrqqvszSaerz0lOS8cAYNBe0s6981wDAD9IgQcAB2Y2GT2lLfGA32cxiG1rFxq7brq6TPKhdAwABu8iy/Fz6RAA0GUKPAA4QLPJ6D7Jp9I54ICtSgegdy6aunouHWIL/rN0AAAG7yrL8UPpEADQdQo8ADhQs8noY5L70jkABuCqqauH0iG2YjmeJ1mUjgHAYC2yHF+XDgEAfaDAA4DDNk87/B2A3bhv6qpfC41KPADKeEpyVToEAPSFAg8ADthsMnpJW+KZ90UJp6UDwI71d+ZoW+L1838bAIeofW5Zjj23AMCWKPAA4MDNJqP+LjBz6I5KB4Adekkyb+qqvwuNy/Ei3j8A2I95lmM3hwDAFinwAKADZpPRfZJPpXMA9Mi8qav+LzS2Jd7bOMkNwO58ynJsdjcAbJkCDwA6YjYZfUzyUDgGHIqH0gHotOumroaz0LgcP0SJB8Bu3Gc5/lg6BAD0kQIPALrlIslz6RAAHfbQ1NVV6RB7115rdpZ27h8AbIOr/gFghxR4ANAhs8noJW2J5xQFwPd7TvsaOkzL8XPak3hKPAA29ZJ27p3nEgDYEQUeAHTMbDJ6SjK80yOUMC4dALbsoqmrYS80tgutb5MM5wpRAHZhvj7dDQDsiAIPADpoNhktklyXzkHvHZUOAFs0b+rKQmPSlnjL8UWSRekoAHTSpyzHNoIAwI4p8ACgo2aT0VWSh9I5ADpg0dTVonSIg7Mcz2MzCADf5z7L8cfSIQBgCBR4ANBtF2lnOsHQOEnFt3pq6mpeOsTBWo6vkvjzAeBbPMV7BgDsjQIPADpsNhm9pC3xhj3TicEZ/BwzvtUvr5H8keV4EQuyAPyxl7Rz73wGA4A9UeABQMfNJqOnJFelcwAcoIumrp5Lh+iEtsQ7iw0hAPx78yzHbkAAgD1S4AFAD8wmo0XMMWL7jksHgA1cNXX1UDpEp7QLs2+jxAPgn33KcnxfOgQADI0CDwB6YjYZXSV5KJ2DXjkuHQB+0H1TVzY1/Ii2xDuLOZMAtO6zHH8sHQIAhkiBBwD9cpHkuXQIgIKeYp7bZpbj57Qn8ZR4AMPmPRUAClLgAUCPzCajl7QlnuvPGALlAr/1kmTe1JXXwE0txy9pSzxXpgEM00vauXfeUwGgEAUeAPTMbDJ6SnJVOgfsgQUlfmve1JVid1uW45csxxdJFqWjALB38/W1ygBAIQo8AOih2WS0SGL+EzAk101dOS22C8vxPN5TAIbkU5Zj76kAUJgCDwB6ajYZXSV5KJ2Dbrt7fD0qnQG+wUNTV04e79JyfBVzkACG4D7L8cfSIQAABR4A9N1FkufSIei009IB4E88p32tY9eW40WUeAB99hyv8wBwMBR4ANBjs8noJe3CtllhQF9dNHXlNW5f2hLvLN5XAPqmfW5Yjr2+A8CBUOABQM/NJqOnJK6Wo4+eSweguHlTV0+lQwzOcvyU5G2UeAB9crV+fQcADoQCDwAGYDYZLZJcl84BW/Z/SwegqEVTV4vSIQarXeT9jyQWewG673p9whoAOCAKPAAYiNlkdBULrUA/PDV1ZUZPae01a2/jvQWgyx6yHLutAwAOkAIPAIbFlWdA1/0y25ND8D8l3qJwEgC+33O8pwLAwVLgAcCAzCajXxZa4Vudlw4Av3HR1NVz6RD8ynL8kuV4HiUeQJe0G2LajRgAwAFS4AHAwMwmo6ckrp4DuuiqqauH0iH4HW2J96l0DAC+ydV6nikAcKAUeAAwQLPJaBEnJeg+O8aH5b6pq+vSIfgTy/HH2CQCcOiusxwvSocAAP6YAg8ABmo2Gc2T2HVLl/n7Oxy9ODl8cnbz4eTs5rJ0jp1rF4XnUbIDHKKHLMdXpUMAAH9OgQcAw/Y2FliBw/aSZN7UVadfq07Obt4l+Zzk9uTs5kPpPDvXlnjeYwAOy3OSi9IhAIBvo8ADgAGbTUYvaRdYAQ7VvKmrTp+2PDm7OU5y+6t/9Pnk7Ob2d355f7SzlZR4AIfhJclFlmOvyQDQEQo8ABi42WTUi6vp2Jn/LB2AQbtu6uq+dIhNnJzdHCX5kuToN//qckAl3n/ElbcApV2tX5MBgI5Q4AEAmU1GiySLwjEAfu2hqas+zOj5nOT0d/7d5cnZzc/rkq+/2tMeb6PEAyjlen21MQDQIQo8ACBJMpuM5rG4ChyG5/RgRs961t3ln/yy0yRfB1TiLQonARiahyzHfdgQAwCDo8ADAH7NrCI6o6mrh9IZ2JmLpq46/Vp0cnZzmvb03bc4TfLz+vf013L8kuV4HiUewL48pwcbYgBgqBR4AMB/m01Gv5yQAChl3tRVp08Dr0/Tff3O33ac9iRev0u8JOsS71PpGAA995LkYn0CGgDoIAUeAPBPZpPRU5J56RzAIC2aulqUDrEFX5P8yJWYR2lLvHdbznN4luOP8V4DsEtXWY47vSEGAIZOgQcA/IvZZLSIK85o9f80EIfiqamrzhc6J2c3n7PZz81Rki8nZzeX20l0wJbjRdoSz+kQgO26Xr/GAgAdpsADAP6t2WQ0T2LXLj9yigi+V3vNV8etS7cPW/pytydnN9v6WoerXWA2fxVgex6yHF+VDgEAbE6BBwD8EYuqwD5cNHX1XDrEJtaz6z5v+ct+Pjm7ud3y1zw87RVvb5M8F04C0HW92BADALQUeADA75pNRi9pF1XhUD2UDsDGrpq6eigdYhMnZzdHSb5kNydWL0/Obm7X36O/2hLvLE5+A2zibZZjm+8AoCcUeADAH5pNRk9pZxQBbNt9U1fXpUNswW2S4x1+/cskXwdQ4v2yaUSJB/D95uvNEABATyjwAIA/NZuMFkkWhWMA/dKLzQEnZzcfk7zbw7c6zVBKvOX4LN5zAL7HYj1TFADoEQUeAPCtruJUxCDdPb4el85A77wkmTd11elrvk7Obt4l+WmP3/I0yX+t5+3123I8jxIP4Fs8rV8zAYCeUeABAN9kPQ/vIu3CO8NyXDoAvTNv6qrTGwJOzm6O016duW9HaU/iDaXEuyodA+CAmVcNAD2mwAMAvtlsMnpOW+IB/Kjrpq7uS4fYxPoayy9py7QSfinxLgt9//1Zjq/Tg6tWAXbk7Xp+KADQQwo8AOC7zCajhzgRweHo9CmuAXpo6qoPrx+f015nWdJRktuBlHiLOAEO8FvzLMc+BwFAjynwAIDvNpuMrmM2EYfh/5UOwDd7Tg9O8J6c3XxIclk6x6/cnpzdfCwdYueW4/u018Qp8QCSxXpzAwDQYwo8AOBHXcXpJ+DbXTR11enyZT137nPpHP/GTydnNyXm8e1Xe9LkbdoyGGContYzQgGAnlPgAQA/ZDYZvcSVZkNRas4X/TFv6qrThf967t3X0jn+wOXJ2c3tOmd/tSXeWWwgAYbpJe1GBgBgABR4AMAPm01Gz+nBlXj8qdKzvui2RVNXi9IhtuBrDr/MvkzydQAl3i8L2Eo8YGjerl8DAYABUOABABuZTUYPaa/TBPitp6auOn/N18nZzed0p8g+zVBKvOX4LOaxAsMxX59CBgAGQoEHAGxsNhldxyIqZTyXDsDv+uWa3U47Obu5TPKhdI7vdJrkv9Yz+/qtnQO1KB0DYMcWWY4XpUMAAPulwAMAtuUqrjNj/55LB+B3XTR19Vw6xCbWBdjn0jl+0FHak3hDKfGcBAf66mn9OgcADIwCDwDYitlk9MtpG3M5gKumrh5Kh9jE+grKLzn8uXd/5JcS77J0kJ1bjq+TWOAG+uaXmZ8AwAAp8ACArZlNRs/pwZV5/Iv/VToAnXLf1NV16RBbcJvkuHSILThKcjuQEm8RG0mAfnmb5dhrGgAMlAIPANiq2WT0EFeZ9U3/r+BjW57Sg1NQJ2c3H5O8K51jy27X/7v6bTm+T3taxYI30HXzLMeupweAAVPgAQBbN5uMrpMsSucA9uolybypq04XJydnN++S/FQ6x478dHJ2c1s6xM61C95vYy4r0F2L9aliAGDAFHgAwK5cxeIpu9fpsqhn5k1ddfpn/uTs5jjt1Zl9dnlydvNlPeOvv5R4QHc9ZTnu/Gl2AGBzCjwAYCdmk9FLzCJix7peGPXIdVNX96VDbGJdaH1JOzOu794l+TqAEu8lbYn3UDgJwLf65fMzAIACDwDYndlk9ByLENB3D01d9WHu5ecMa97jadoS77h0kJ1ajl+yHL+Na52BbrjIcvxcOgQAcBgUeADATs0mo4e012kC/fOcHpT0J2c3H5Jcls5RwGmSn0/ObvpfXLbX0S1KxwD4A1dZjh9KhwAADocCDwDYudlkdJ2k09frDdx56QAcrIumrjp9Te66vPpcOkdBR2lP4g2lxDNXCjhEiyzH16VDAACHRYEHAOzLPIl5ZdAf867PIFzPgPtaOscBOEp7Eu+ydJCdW44XUeIBh+UpbqsAAP4NBR4AsBezyegl7aJpp0/rcJD8ndq/RVNXi9IhtuBr2vKK1u2ASry38doBlPeSdu6d1yMA4F8o8ACAvZlNRk9x8oHt6/QpsA56auqq8z/HJ2c3n9POgOOf3a7/bPqtnTOlxANKu8hy/Fw6BABwmBR4AMBezSaj+ySfSucAfkh7UqDj1qfMPpTOccA+nJzd3JYOsXPL8VPaEs8mAKCEq/VmAgCAf0uBBwDs3Wwy+pjkvnQO4LtdNHX1XDrEJk7Obk6T9P+E2eYuT85uvqznBPaXEg8oY5Hl+Lp0CADgsCnwAIBS5rFg2hl3j6+uGuSqqauH0iE2sS6jvsTcu2/1LsnXAZR4L2lLvIfCSYBheEpyVToEAHD4FHgAQBGzyeglbYln/lA39HsBnz9z39RVH04K3CY5Lh2iY07TlnjHpYPs1HL8kuX4bZJF6ShAr7VXUbcbBwAA/pACDwAoZjYZPaUt8YDD1Yuf05Ozm49pT5Tx/U6T/Ly+frTfluN5lHjA7lxkOX4uHQIA6AYFHgBQ1Gwyuk/yqXQOOu3/lA7QYy9J5k1ddfqkwMnZzbskP5XO0XFHaU/iDaXE63xpDRycqyzHD6VDAADdocADAIqbTUYfk9yXzgH8i3lTV52eVbm++vG2dI6eOEp7Eu+ydJCdW44XUeIB27PIctyHq6gBgD1S4AEAh2Ke9qo+4DBcN3XV6WL95OzmKMmXmOG4bbcDKvHexqxWYDNPSa5KhwAAukeBBwAchNlk9JK2xLNQepiOSwdgrx6auurDYuPntPPb2L7bk7Obz6VD7Fx73Z0SD/hRL2nn3nkNAQC+mwIPADgYs8noKa4sO1THpQOwN89JLkqH2NTJ2c2HJJelc/Tch5Ozm/5fT7ocPyU5i1PiwPe7yHL8XDoEANBNCjwA4KDMJqP7JJ9K54ABu2jqqtMnBU7Obk7Tnr5j9y5Pzm6+rq8r7a92Af5tlHjAt7tan+IFAPghCjwA4ODMJqOPSTo9e4u9sqC+PfOmrjr957kukr6WzjEw50mGUOK9pC3xvD8Bf2aR5fi6dAgAoNsUeADAoZpHMcO36fRpsQOyaOpqUTrEFnxN0u8i6TCdpi3x+j1zcDl+yXJ8kWRROgpwsJ6S9GGOLABQmAIPADhIs8noJW2Jp5yB3Xtq6qrz8ydPzm4+py2SKGMYJV6SLMfzJE7XAL/Vfn5tT+wCAGxEgQcAHKzZZPSUtsSjvP9dOgA785LkonSITZ2c3Vwm+VA6BzlKW+Kdlw6yc8vxVbxHAf9snuXYDRIAwFYo8ACAgzabjO6TfCqdgxyXDsDOXDR19Vw6xCbWJ74+l87Bf/ulxLssHWTnluNFlHhA61OWYzMyAYCtUeABAAdvNhl9TPJQOAb00VVTVw+lQ2zi5OzmKMmXmHt3iG4HVOKdxZXPMGT3WY4/lg4BAPSLAg8A6IqLJM+lQ3CQnksH6Kj7pq76MMPrNk6IHrLbk7Ob29Ihdq69Mu9tlHgwRK58BwB2QoEHAHTCbDL6ZU6XxVH+SdevfyykF4uNJ2c3H5O8K52DP3U5oBLvLO3PFzAML2nn3vl8CgBsnQIPAOiM2WT0lOSqdA7ouJck86auOr3YeHJ28y7JT6Vz8M0uT85uvq6vPO2v5fg57Uk8JR4Mw3xd3gMAbJ0CDwDolNlktEjSh2v/uqbfi+7DMm/qqtOLjSdnN8dpr86kW86TDKHEe0lb4t2XjgLs1Kcsx37OAYCdUeABAJ0zm4yukjyUzjEwp6UDsBXXTV11erFxXf58iVK5q07Tlnj9fk1Zjl+yHF8kWZSOAuzEfZbjj6VDAAD9psADALrqIslz6RDQIQ9NXfXhCtrPUSh33TBKvCRZjudxahz6phdzZAGAw6fAAwA6aTYZvaQt8To9x4uteS4d4MA9p/156bSTs5sPSS5L52ArjtKWeOelg+zccnwVi/3QFy9p5975/AkA7JwCDwDorNlk9JSkDyeK2Nxz6QAH7qKpq04vNq5Pa30unYOt+qXEuywdZOeW40WUeNAH8yzHnZ4jCwB0hwIPAOi02WS0iOvJ4I/Mm7rq9GLjeu7d19I52JnbAZV4Z3FyHLrqU5bjTs+RBQC6RYEHAHTebDK6SvJQOgccoEVTV4vSIbbga9rTWvTX7cnZzW3pEDvXntx5GyUedM19luOPpUMAAMOiwAMA+uIirlHcqbvH1/PSGfguT01ddf7KvpOzm89JTkvnYC8uB1Ti/UeSTp+MhQF5iitwAYACFHgAQC/MJqOXtCWeUw3Q/hxclA6xqfW1ih9K52CvLk/Obn5eX5vaX8vxS9qTeEo8OGwvaefe+XwJAOydAg8A6I3ZZPSU5Kp0DoqwsPbPLpq6ei4dYhMnZzenST6XzkERp0m+DqjEWxROAvy++frULADA3inwAIBemU1GiyTXpXOwd6vSAQ7IVVNXD6VDbGJd3HyJuXdDdprk53WR21/L8UuW43mUeHCIPmU5vi8dAgAYLgUeANA7s8noKslD6RxQwH1TV30osG+THJcOQXHHaU/i9bvES7Iu8T6VjgH8t/ssxx9LhwAAhk2BBwD01UWS59IhYI+eksxLh9jUydnNxyTvSufgYBylLfH6/3eiLQs6/zMMPfAcP4sAwAFQ4AEAvTSbjF7Slnhmo21P/0/BdNdLknlTV53++74uaX4qnYODc5Tky8nZzWXpIDu3HC/SFged/lmGDms/P7YzKgEAilLgAQC9NZuMA/0nVwAAIABJREFUnpJclc7RI+aRHa55U1dPpUNs4uTs5jjt1Znwe25Pzm4+lA6xc22J9zZKPCjhKstxp99PAYD+UOABAL02m4wWSfowEwx+z3VTV/elQ2zi5OzmKMmXKIn5c59Pzm76X/S2BYISD/brel2gAwAcBAUeANB7s8noKu18MPrroXSAQh6auurDKdPPcUUr3+5yQCXef8T7F+zDQ5bjPryfAgA9osADAIbCSQb65jntnMdOW1+JeFk6B51zeXJ28/P69GZ/tXO43kaJB7v0nB68nwIA/aPAAwAGYTYZ/bIICn1x0dRVp0vpk7Ob07Sn7+BHnCb5OqASb1E4CfTRS5KL9c8ZAMBBUeABAIMxm4yeksxL5+iwcekA/Ld5U1edPpGzLl2+ls5B550m+XldBvfXcvyS5XgeJR5s29X6uloAgIOjwAMABmU2GS1iAfRH9fuUS3csmrpalA6xBV/j7xTbcZz2JF6/S7wk6xLvU+kY0BPXWY4XpUMAAPweBR4AMDizyWge84Topqemrjp/ivTk7OZz2pNTsC1HaUu8d6WD7Nxy/DFOk8OmHrIcX5UOAQD8/+zdQVIbeb4u7JcTd6iIw7eCy92AhBZANDA9g4YVCCY57DZDRnaNNMSlIRPUK7DPQFPBibMA072B4qzgciOY9zfIpMpV7SobI+mvzHyeCIerXC7xGgTC+ebv/+OPKPAAgL46Sr33hG7oQyFb7+lpueF4dpbkTekcdNJukg/Nc6zb6qmh83gdg+/xkA68ngIA3afAAwB6aXKw85i6xKMDltNBHy5iny6ng4fSIV6jOeLwqnQOOu9mOJ51vySuSzw3o8DL1DfDLEY+bwCArafAAwB6a3Kwcx/HkNEOF8vp4K50iNcYjme7ST7E3js242o4nt2UDrF2i9F96hLvoXASaIuL5vMGAGDrKfAAgF6bHOzMk8wLx2iLvdIBeurjcjp4XzrECtzEc4jNOhuOZzdNedxddRkxTj+OEobXeN9MrgIAtIICDwDovcnBznlc+PwWe6UD9FAnpkSH49m7JCelc9BLZ0lue1DiPR8L7bUMvuwui9FF6RAAAC+hwAMAqNkjxLZ5THLe9v1+w/HsJMnb0jnotf30pcRbjMYxVQ6/9ZDktHQIAICXUuABACSZHOw8Ty/QXl2bPDlfTget/jMNx7O91EdnQmn7SX4ajmf7pYOs3WJ0HiUePHtMctpMqQIAtIoCDwCgMTnY6cRxhT3WpYtz75fTwcfSIV6jmXb6kKTbU0+0yW7qSby+lHiOC4TkotkTCQDQOgo8AIDPTA525jG5QFl3y+mgCxfer1JPPcE2eS7xzkoHWbvF6H3clEK/vc9iNC8dAgDgeynwAAB+Y3Kwc57uHce4En/773+aplqvh3RgT89wPHuT5Kx0Dvgdu0luelLizVN/TenShDJ8i7ssRl24GQYA6DEFHgDAlx3FBc8vMVG1XqfL6aDVz7vmeMKr0jngG9wMx7N3pUOs3WL0MV7T6Jd67x0AQMsp8AAAvmBysPOY+oInbMr5cjpo9eRns/futnQOeIG3w/HspnSItat3gB2lnvKFrjvKYqSwBgBaT4EHAPA7Jgc797E/qE0eSgd4hflyOpiXDrECt6mPJ4Q2ORuOZzdNAd1ddYk3jiOi6bbz5rkOANB6CjwAgD8wOdiZJ5kXjsG3+Z/SAb7T/XI6aH1RPBzPruKIVdrrLMltD0q85+lyBQddNG/2PgIAdIICDwDg6y7iYifr0Yk9PcPx7CzJm9I54JX205cSbzEax80pdMt9FqPW3wwDAPA5BR4AwFc0+/BOU5ctsEqny+ngoXSI1xiOZ/tJrkrngBXZT/JT87zutrrsmJeOAStgbzEA0EkKPACAbzA52HlIByalVuCwdIAOuVhOB3elQ7xGM6n0Ifbe0S27qSfx+lLiXZSOAa901BwPCwDQKQo8AIBvNDnYuYsLnazGx+V08L50iBW4SbJXOgSswXOJd1Y6yNotRu+TOHqQtjrPYuSYcwCgkxR4AAAvMDnYeR9Hjm2rttx9f58OXCwfjmfvkpyUzgFrtJvkpicl3jyOiqZ95s1zFwCgkxR4AAAvd5G6hGG7tOFj8pjkfDkdtPoi+XA8O0nytnQO2JCbprDutsXoY+o9Yq3++kRv3DdHwAIAdJYCDwDghSYHO48xqcD3OV9OB20oGn/XcDzbS310JvTJ2+F41v3nfX0U4VHacUME/fWY+nkKANBpCjwAgO8wOdh5SF3iwbd6v5wOPpYO8RrD8Ww3yYfURwtC35wNx7MPzedBdynx2H5HWYzcRAUAdJ4CDwDgO00Odu5SH6fZJ38qHaCl7pbTQReeK1dJ9kuHgIJOktz2oMR7nnC6K5wEfuu8KZkBADpPgQcA8AqTg533Sealc7DVHtKBac3hePYmyVnpHLAF9lOXeHulg6zVYvSYxegoXuPYHvMsRvPSIQAANkWBBwDwehdx1Bi/73Q5HbT6qK/heLafevoOqO0n+dR8bnTbYnQeJR7l3TfPRQCA3lDgAQC80uRg5zH1hFWrS5q2W04Hd6UzfMH5cjpodbnbHBV4WzoHbKHd1JN4fSnxlCeU8nykKwBAryjwAABWYHKw85AOHJPISs2X08G8dIgVuE1dVAD/ajf1JN5Z6SBrVx9dqMSjhKNmLyMAQK8o8AAAVmRysHOX+jhNuF9OB62/0D0cz65SHxUI/LGbHpV4RzFxzuacZzFq9SQ7AMD3UuABAKzQ5GDnfbq9K0iZ83XPR6q2WlNGvCmdA1rkpim9u20xuosSj82YN6UxAEAvKfAAAFbvIklX7xZ3lOLXnS6ng4fSIV6j2enV/SICVu/NcDy7KR1i7eqJqKN097WO8u6b3YsAAL2lwAMAWLHJwc7zBJbphP65WE4Hd6VDvMZwPNtN8iHKWvheZ8Px7EPzudRdSjzWpxOT7AAAr6XAAwBYg8nBzkNcfCrhruDb/ricDt4XfPurcpNkr3QIaLmTJLc9KPEeU5d4d4WT0C2nWYweSocAAChNgQcAsCaTg5271Mdp0n33SVp/1NdwPHuXungAXm8/dYm3VzrIWi1Gj1mMjtLt/a9szkWzZxEAoPcUeAAAazQ52Hmf5GPpHKzVY5Lz5XTQ6iNTh+PZSZK3pXNAx+wn+dTsley2el/ZvHQMWm2exagLk+wAACuhwAMAWL/zdGhH0N/++597pTNsmfPldNDqj28zIXRTOgd01G7qSby+lHitn0amiPs4tQAA4FcUeAAAazY52HlMfUGz1RNan9krHWCLvF9OB62esGx2dH1IXTIA67GbehLvrHSQtVuM5lHi8TKPqffedeX7JACAlVDgAQBswORgpxM70viVu+V00IVpgavUx/wB63fToxLvKN25cYX1Os1i9FA6BADAtlHgAQBsyORg52OSH0rn6LhNHWX5kOR0Q29rbYbj2ZskZ6VzQM/cDMezq9Ih1m4xuosSj6+7aJ4rAAD8hgIPAGCDJgc775K0+sjFLff/NvR2TpfTQasvSjf7uLpfIsB2ejMcz7q/d3Ixuk9d4rV6TyhrM89i9L50CACAbaXAAwDYvPO4mNlm58vpoNUfv2bv3W3pHNBzZ8Px7Lb5fOwuJR5fdp+kC8dQAwCsjQIPAGDDJgc7j6lLvLZOcHX7YvMfmy+ng3npECtwm35/HGFbHCbpQ4n3mLrEM4FOUn//c9o8LwAA+B0KPACAAiYHO/epS7w22i8doJD75XTQ1o/Zz5rdW339GMI22k9d4nX783IxesxidJpkXjoKxZ1mMXooHQIAYNsp8AAACpkc7HxM8kPpHHyTelqg5Ybj2VmSN6VzAP+iHyVekixG50nsPeuviyxGd6VDAAC0gQIPAKCgycHOuzhSbJUe1vS4p8vpYF2PvRFNMXBVOgfwu3ZTl3iHpYOs3WJ0kfZOofP95lmMlLcAAN9IgQcAUN55kvvSITriYQ2PebGcDu7W8Lgb0+zX+hB772DbPZd4Z6WDrN1iNI8Sr0/uk1yUDgEA0CYKPACAwiYHO4+pL2I+ls7Cv/i4nA66MC1wk2SvdAjgm930qMQbx+tf19XHUC9GPs4AAC+gwAMA2AKTg537tGcS4d9LB9iQNn1MftdwPHuX5KR0DuDFbobj2U3pEGu3GN0nOYoSr8tOsxg9lA4BANA2CjwAgC0xOdj5mOSH0jm+wX7pABvwmOR8OR20+oLycDw7SfK2dA7gu531qMQbx3HSXXSRxeiudAgAgDZS4AEAbJHJwc67JB9L5yDny+mg1ReSh+PZXuqjM4F2OxuOZ7fNLsvuqie0jqLE65J5FqMuHEMNAFCEAg8AYPucxwXM77WKibn3y+mg1SVqc6H/Q5JuX/CH/jhM0ocS7zF1idfqr8Ekqb+PuSgdAgCgzRR4AABbZnKw85i6xGv18Y0lrGBq7m45HXThguNV+nHUKfTJfuoSr9uf24vRYxaj0yTz0lH4bvX3MXUhCwDAd1LgAQBsocnBzn3qEo/NeUhyWjrEaw3HszdJzkrnANaiHyVekixG50kcv9hO581eQwAAXkGBBwCwpSYHOx+T/FA6R4+cLqeDVk8LNBf1r0rnANZqN3WJd1g6yNotRhdxM0vb/JDFyBGoAAAroMADANhik4Odd0nuCsf4rcPSAdbgfAXHbxbV7Ma6LZ0D2IjnEu+sdJC1W4zmUeK1xccsRu9KhwAA6AoFHgDA9jtNfbwj6zFfTgfz0iFW4Db1RX2gP256VOKNYzfsNnP0NwDAiinwAAC23ORg5zF1iefC5bd5yfvpfjkdtP6C43A8u0q9Gwvon5vheHZTOsTa1TvVjuK1cBs9pt5752MDALBCCjwAgBaYHOzcJ7konaMlvvUozOditNWa6Zs3pXMARZ31qMQb59u/zrMZ583HBgCAFVLgAQC0xORgZ57kfekcHXK6nA4eSod4jeF4tp/kqnQOYCucDcezT80+zO5ajB5ST+IpjLbDD1mMPpYOAQDQRQo8AIAWmRzsXCS5K52jAy6W08Fd6RCv0Vyk/xB774Bf7Ce57UGJ95i6xJsXTtJ3H7MYvSsdAgCgqxR4AADtc5rkoWSAv/33P9u8b+3jcjrowiTjTZK90iGArbOf5FMzodtdi9FjFqPzKPFKuU/S+h2yAADbTIEHANAyk4Od591tjwVjtHW6oxMXHIfj2bskJ6VzAFtrL/UkXrdLvCRNifdD6Rg985h6713J70MAADpPgQcA0EKTg537JBelc7TMY5Lz5XTQ6guOw/HsJMnb0jmArbebusTrftlfH+PY+pszWuQ8i5EdhAAAa6bAAwBoqcnBzjxJF46CXLX/+p1fP19OB62+4Dgcz/ZSH50J8C12k3wYjmdnpYOs3WI0T13itfomjRb4IYvRx9IhAAD6QIEHANBik4OdiyR3pXO0wPvldNDqC47D8Ww3yYe09/hSoJyb4Xj2pnSItatLvKMo8dblYzPtCADABijwAADa7zTJQ+kQW+xuOR104bjRqyTd32cFrMvVcDzr/gRvfbSjEm/1OrFDFgCgTRR4AAAtNznYeUxd4m3yYuXeBt/Wazykft+0WjM5c1Y6B9B6Zz0q8f5P6tKJ13tMvfdOKQoAsEEKPACADpgc7Nwn2eSU2d4G39ZrnC6ng1ZfcByOZ/upp+8AVuFsOJ59ao7l7a66bDqKEm8VzptSFACADVLgAQB0xORgZ57kfekcW+R8OR20+oJjc4H9tnQOoHP2k9z2qMSbF07SZj9kMWr1DlkAgLZS4AEAdMjkYOciyV3pHIXdJ5kvp4N56SArcJuk2xfYgVL2k3xqpny7azF6zGJ0HiXe9/iYxehd6RAAAH2lwAMA6J7T1Lvf+up+OR2clw7xWsPx7Cr1BXaAddlLPYnX/a81dYn3Q+kYLfKQpPWvpQAAbabAAwDomMnBzmPqEq/Vu9++13I6eCid4bWG49lZkjelcwC9sJu6xDspHWTt6mkypdTX1d9H1EeQAgBQiAIPAKCDJgc790ku1vgm/vcaH7vXmkmYq9I5gF7ZTfKhuXmg2xajeeoSTzn1+y6yGLV6hywAQBco8AAAOmpysDNP8n5ND7+3psftteF4tpvkQ+y9A8q4GY5n3Z/+rUu8oyjxvuR98/4BAKAwBR4AQIdNDnYukriLvj1uohwFyroajmc3pUOsXT1hpsT7tbssRuuc3gcA4AUUeAAA3ecCZQsMx7N3Sbq/gwpog7PheHbTTAV3V13i/Z+40SVJHlLvzwUAYEso8AAAOm5ysPOYusRjSw3Hs5Mkb0vnAPjMWZLbHpR4z6+RfS7xHpOcNu8LAAC2hAIPAKAHJgc790nOS+fgXw3Hs73UR2cCbJv99KXEW4zGSealoxRy0UwjAgCwRRR4AAA9MTnYmWd1Fye7fTF3Q5qL4h/i/Qlsr/0kPw3Hs/3SQdZuMTpP/0q891mM5qVDAADwrxR4AAA9MjnYOc9qjgnr/oXczbiK9yWw/XZTT+J1/+tVXeJdlI6xIXdZjPryZwUAaB0FHgBA/xyl3ndDQcPx7E3qHVMAbfBc4p2VDrJ2i9H7dP/Y6Yckp6VDAADw+xR4AAA9MznYeUxd4lFIM8VyVToHwAvtJrnpSYk3T11wdfGGl8ckp1mMuvhnAwDoDAUeAEAPTQ527tP96YKt1Oy9uy2dA+AVbobj2bvSIdZuMfqYbk6tX2QxWsVx2gAArJECDwCgpyYHO/Mk88Ix+ug29RQLQJu9HY5nN6VDrF1ddB2lPnKyC94304UAAGy5ndIBAAAo62///c9PSfZf+v9NDnZ8L/lCw/HsKsmb0jkAVmie5OIfn/7StSm1X/uPvz9PT7/49XKL3GUxcoQ2AEBLmMADAOC7jgf723//83D1Ubqr2RmlvAO65izJbXM8cHfV++KOkrT16MmH1Dv9AABoCQUeAEDPTQ52ni9KsibD8Ww/yVXpHABrsp++lHiL0TjtO376MclpU0ICANASCjwAADI52LlPcl46Rxc1F7Q/xN47oNv2k/zU3LDQbYvRedpV4l00u/wAAGgRBR4AAEmSycHOPO26INkWN0n2SocA2IDd1JN4fSnxLkrH+AbvsxjNS4cAAODlFHgAAPxscrBznvbu99k6w/HsXZKT0jkANui5xDsrHWTtFqP32e7p9bssRm0oGQEA+AIFHgAAv3WUel8OrzAcz06SvC2dA6CA3SQ3PSnx5klOs32vm/XeOwAAWkuBBwDAr0wOdh5Tl3hf0/0j0r7TcDzbS310JkCf3TSTyN22GH3M9t38cpTFaJvyAADwQgo8AAD+xeRg5z5fPxZsdxNZ2mY4nu0m+RDvH4AkeTscz7p/Q8NidJ+6xHsonCRJzps8AAC0mAIPAIAvmhzszJPMC8doo6uYTgT43NlwPPvQ3ODQXXVpNk7ZXbLz5lhPAABaToEHAMAfuUjZC5GtMhzP3iQ5K50DYAudJLntQYn3fAz1XYG3fp/F6GvT8wAAtIQCDwCA39XswzvNdu312UrD8Ww/9fQdAF+2n7rE2ysdZK0Wo8csRkfZ7BT7t+6vBQCgJRR4AAD8ocnBzkPqEo/f0UyU3JbOAdAC+0k+NTc9dFs9DTff0Fs7aqb/AADoCAUeAABfNTnYuUt9nObnRgWibKvbJN0+Fg5gdXZTT+L1pcRb97GW583+PQAAOkSBBwDAN5kc7LzPrycJFFZJhuPZVeqJEgC+3W7qSbyz0kHWbjGaZ30l3rx5fAAAOkaBBwDAS1wkcZd/o7nw/KZ0DoAWu+lRiXeU1e6UvW8m/AAA6CAFHgAA32xysPOYeh9e7/fsNEe/XZXOAdABN800c7ctRndZXYn32DwWAAAdpcADAOBFJgc7D6lLvN4ajme7ST7EMaIAq/JmOJ7dlA6xdvWuuqO8fpr9KItR72+mAQDoMgUeAAAvNjnYuUt9nGZf3STZKx0CoGPOhuPZh+Ymie56fYl33jwGAAAdtlM6AAAAtMlwPHuX5G3pHAAddp/k6B+f/tLtCbP/+PvzNPfhC/6vub13AAD9oMADAIBvNBzPTlJfbAVgve6TnP7j018eSgdZu//4+02Ss2/4nfdZjMZrTgMAwJZwhCYAAHyD4Xi2l/roTADWbz/Jp+F4tl86yNrVE3Xzr/yux9THbgIA0BMKPAAA+IpmH9OHJN3eywSwXXaT3PaoxPujozGPshh1+0hRAAB+RYEHAABfd5V6GgSAzdpNPYl3VjrI2i1G83y5xDvPYnS/4TQAABSmwAMAgD8wHM/e5Nt2EwGwPjc9KvGOUh+ZmSTz5tcAAOiZndIBAABgWzXHtn0qnQOAn73/x6e/XJQOsXb/8ff9JG+zGJ2WjgIAQBkKPAAA+IJm791PsfcOYNvM//HpL3+0Lw4AAFpPgQcAAF8wHM8+xd47gG11l+T0H5/+8vi13wgAAG1kBx4AAPzGcDy7ivIOYJsdJrltpqUBAKBzFHgAAPCZ4Xh2luRN6RwAfNV+6hLPDRcAAHSOIzQBAKDRXAS+jb13AG3ymOToH5/+cl86CAAArIoCDwAAkjTHsH1Kslc4CgAv95h6J95d6SAAALAKjtAEAIDaTZR3AG21m/o4zbPSQQAAYBUUeAAA9N5wPHuX5KR0DgBe7UaJBwBAFzhCEwCAXhuOZydJPpTOAcBKzf/x6S/npUMAAMD3UuABANBbw/FsL/Xeu93CUQBYPSUeAACtpcADAKCXhuPZbpLbJPulswCwNndJTv/x6S+PpYMAAMBL2IEHAEBfXUV5B9B1h0lum5s2AACgNRR4AAD0znA8e5PkrHQOADZiP3WJ56YNAABaQ4EHAECvNBdwr0rnAGCjtqLEO758UiICAPBNFHgAAPTGZ3vvAOif3dQl3mGJN358+fQmyUOJtw0AQPso8AAA6JPb1BdwAein5xLvbJNv9Pjy6SrJx+V08LjJtwsAQHvtlA4AAACbMBzPTpL8tXQOALbGxT8+/eV+3W/k+PLpMEmW08Hdut8WAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP9ip3QAAIA+O7582ktyVjjGd1tOB+9KZwCgnKqq9pLsfeE//d6vv9Td9fX13Qoe54uqqjrLanKWsNb3DQAAZf2v0gEAAHpuL8nb0iFe4V3pAACsXlVV+0l2kzz/PGp+TpLDDce5W+NjT7L5P8+q3JUOAADA+ijwAAAAoKeaCbr95sefsrrJuVUZlQ4AAAAlKPAAAACgJ6qqOkw9cfan/DJdt822PR8AAKyFAg8AAAA6qpmwO0ld2J2UTfNd9ksHAACAEhR4AAAA0CGflXaTtL8AM4EHAEAvKfAAAACg5aqq2k1d2v017S/tfqWqqv3r6+v70jkAAGCTFHgAAADQUlVV7acu7U7S3WnPGxhaAAAgAElEQVS1rv65AADgdynwAAAAoGWqqjpLfUTmYdkkG7Gf5K50CAAA2CQFHgAAALREU9y9TbJXNslGmcADAKB3FHgAAACw5Xpa3D37U+kAAACwaQo8AAAA2FJVVR0muUk/izsAAOgtBR4AAABsmaqq9lIXd4dlk2yFw9IBAABg0/6tdAAAAADgF1VVvUvyUxRXAADQWwo8AAAA2AJVVe1XVfUp9a47PtMcJQoAAL2hwAMAKGg5HdyVzgBAeVVVvUnyKcl+6SwAAEB5duABrNjx5dNJkkcX5QEA+JqqqnZT77o7KZ1lyx0muSucAQAANsYEHsAKHV8+7Sf5kOT2+PLp0/Hl01nhSADrdFc6AECbVVW1n+Q2yjsAAOA3TOABrMjx5dNu6vLu2X6Sm+PLp6sk8yQ/LqeDhwLRAADYMp+Vd7uls7TEn0oHAACATTKBB7A6N0n2vvDru0neJPnp+PLpQ3PEJgAAPVVV1UmUdy/lfQUAQK+YwINXOL58uk29i6EL/r/ldPBYOkRbHV8+vcm3HX10kuTk+PLpIcmPSebe7wAA/VFV1VnqG794mf3SAQAAYJNM4AFJEiXS92v23r194f+2l+Qqyf89vny6aR4DAIAOU969TlVVpvAAAOgNBR7AKzR7727yuiN9zpJ8Or58+nR8+XS2ilwAAGwX5d1KuOkNAIDecIQmwOtcZXUXEvaT3BxfPl0lmSf5cTkdPKzosQEAKKSqqv3U3zfyOibwAADoDRN4AN+pmZY7W8ND7yZ5k+Sn48unD8eXT9+yWw8AgC3UlHe3UT6tggk8AAB6wwQewHc4vnzay2buoj5JcnJ8+fSQ5Mckc/sKAQDaodnZ9trj1vnFv6/hMR/W8JgAAPBqJvAAvs+HbPZCzF7qwvCn48unm+PLJ3cfAwBsvw8xNbZK63hf/s8aHhMAAF5NgQfwQs2OulIXYnZTH9v56fjy6bY5xhMAgC1TVdW7JIeFY3SNSUYAAHrDEZoAL9Dso3tTOkfjMMlhUyg+H6/5UDQRAACpquowydvSOTrINCMAAL1hAg/gGzV7725K5/iC3dQXiH46vnz6cHz5dFg4DwBAb3229441qKpqr3QGAADYBBN4AN9u03vvvsdJkpPjy6eH/DKV91g2EgBAr7xNvb+Y9dhL8lA4AwAArJ0JPIBvUHjv3ffYS3KVeirv5vjyqU3ZAQBaqaqq/WzPcetdtVc6AAAAbIICD+Artmzv3UvtJjlL8un48un2+PLprGwcAIBOuyodoAf2SgcAAIBNcIQmwB/Y4r133+MwyWEzTfh8vOZD0UQAAB1RVdVZ6u+3WK//XToAAABsggIP4I+1Ye/dS+2m3s3y9vjy6WOSH5fTwV3ZSAAArfe2dIAt9ND8eEzy989+/b75te9hvzMAAL2gwAP4HS3ce/c9TlJP5Y1N4wEAfJ9m+m6vcIySHpPcpS7p7pM8XF9f3xdNBAAALafAA/iClu+9e4nHJEfKOwCAV/lr6QAFfEzyX0k+Xl9fPxTOAgAAnaPAA/iNju29+5qL5XTg7mgAgO9UVdVhun9qw7P71LuUP15fXzvKEgAA1kiBB/Cvurj37kt+WE4H89IhAABablI6wAbMk/zoWEwAANgcBR68zkPpAKxWT/beJcl8OR28Kx0CAKDNqqraTXJWOscazZP84IhMAADYPAUevM7/lA7A6vRo7919kovSIQAAOuCkdIA1uU9ycX19fVc6CAAA9JUCDyC92nv3mORoOR3YWQIA8Hp/Lh1gxR5TH5X5rnQQAADoOwUeQK0Pe++UdwAAK9Icn9mlCbz7JKeOywQAgO2gwAN6r0d77y6W08F96RAAAB3RpfJufn19fV46BAAA8It/Kx0AoKQe7b37YTkdzEuHAADokD+VDrAiyrv2cnMeAECHKfCA3urR3rv5cjp4VzoEAEDHHJYOsALKuxa7vr52ND4AQIcp8IA+68Peu/skF6VDAAB0SVVVe0n2Csd4LeUdAABsMQUe0Es92Xv3mORoOR24MxcAYLUOSwd4JTd5AQDAllPgAb3Tk713yjsAgPUZlQ7wCo9JTh2/CAAA202BB/RKj/beXSynA0vtAQDWo80nOfxwfX39UDoEAADwxxR4QG8cXz7tph97735YTgfz0iEAADqsrQXe3fX19fvSIQAAgK9T4AF90oe9d/PldPCudAgAgK6qqmo37b0hzN47AABoCQUe0AvHl09nSc4Kx1i3+7goAwCwbm29IWx+fX3tiHUAAGgJBR7QeceXT/upp++67DHJ6XI6eCwdBACg4/ZKB/hOP5YOAAAAfDsFHtBpzd67m7T3mKNvdbScDh5KhwB6x00DQB/tlQ7wHe5N3wEAQLso8ICu68Peu/PldOCCDLRbW4uwv5cOAFDAv5cO8B3+VjoAAADwMgo8oLOOL5/epPt7794vp4N56RDAqynhAdqjjTeHfSwdAAAAeBkFHtBJPdl7d7ecDi5KhwAAYKvdX19fP5QOAQAAvIwCD+icZu/dh9I51uw+yWnpEAAAbD1T3gAA0EIKPKCLbpLslQ6xRo+p9961dWcWAECb7ZYO8EL2lQIAQAsp8IBOOb58epfkpHSONTtfTgfupAYAKKNtO/B83wgAAC2kwAOS5KF0gFU4vnw6TPK2dI41u1hOBx9LhwAAAAAAYH0UeEDSgQKvJ3vv5svp4H3pEAAAtMf19fVd6QwAAMDLKfCArrhN+/aRvMR9kovSIQAAAAAAWL//VToAwGsdXz5dpX27SF7iMcnpcjp4LB0EAPi65mSAl35v8mjHLUD3VVW1n5fffPp4fX3tNQIAekaBB7Ta8eXTSZI3pXOs2elyOngoHQIAqB1fPu0l2UtymOTf80tZd/jKx/38X++an++T/L/m5wclH8D2+qycO8wKXx+ax/78X++anz9/jXh0ZG6/VFW1l+QkyZ+S/Of19fW8aCDIz8/L/evr64+ls0AXKPCA1jq+fNpPclM6x5qdL6eDu9IhAKCvmrLuMMko9YXYww296cPf/PycJ2nKvCT/leTe9woAm1dV1WHq14Xn14dNngpz+JufnzMl9evDQ5rXiCT319fXD5sKxvpUVfVcDv+5+Xnvs/+8l2S+4UjwJX9N8qb5enSX+mvRnRsM4Pso8IBWao6mukm3997Nl9PBvHQIAOiTzwq7P6e+GLtXMM7veb5QfJL8XOrdpblAotADWL2msHt+bTgsGuaP7eWXKfEkSVVVD/n1hfSHjafiuzRTnc9Tdod/8Fv3q6ra87FlC5x89s+HzY+3nxV6/5n665BTJeAbKPCAtur63rv75XRwXjrEunznbqCt0YcLo58dD9dG9kgBL9JM9U9SX2Bo6+vTYfPj7fHl02OSj6kv1H7s8h7d79wl1StN6dB2Dy5Ks2m/OZ7w5I9/99bbS3LW/Hgu9D6mPnbxrlAmvqB53h3mlym7l7zGHcYUHgU1z9+9P/gth82PVFX1mF/fWODv8PAFCjx4HS8uBRxfPr1J8xePjnpMclQ6xJrtJ7ktHeIVdkoH2ICzJG9Lh/hOd+n+59C2mBxfPv3ps39/3sPyuYfmx8//bq8n2+Cz0u4k7b1h4ffs5pcLtTfHl0/zJP+5nA66uIvkKts9CbMN2vw917MfkrwrHYLu+6y0m6S9N3R8i73Uu+TfNBfRn8u8Lr5ObL2qqj6fsHvN8+7PUeBR1ktudthtfv9JYlIYfo8CD16ns3czb6vmYttV6RxrdtTlO+WBTtnLr4uPw2/5n5rj/pJfl3vP5d9j888mKVm5Zrr4LPWF2b2SWTbsLMnZ8eXTQ5K/JXnvew2AX1RVdZa6/Gj7pN33+Pmmj88m83508Xx9munxw/wyZbcqJ1VV7V5fX/f2NX5LJvPve/wxmLzi/93Lv04K36U5UaLH71N6ToEHtEZz7OKH0jnW7NwFa6BH9vJLiXL42//YFH3Phd5Dkv95/mdfK3mJ48unwyR/TT8vzH5uL/V09dtmKu8HE7FAXzXTdn9NfbG49AX/bbGXXybz7lIXeabyXqmqqudJo+cpu701vrmT9HsK7zblP58vkrwvnGHjmq+pq5xc3stnJ0pUVXWfX0/oKfToBQUe0CYf0u275efL6WBeOgTAltnN75d7z8Xe31P/Ze7eVBGfO758OktdWO2VTbKVzlJP5c2jyAN6pNkLOUm31zKswmGSw2YK5ofr6+t50TQt0zzPnifsNnkc65/S0wKvOYq0dHmX1F9felfgZf03yu03P94kyWeFnl2edJoCD2iF48und+n2fpP75XRwXjoEQMs8/yXuJM3OxuaIwLs0d2YqJfpJcfciZ1HkAT3QFCpv0+2/V67DXurpl7dR5P2uz/YnPk/ZlSqSTpL09drCa45vXKX9qqr2engM7Z83/PZ+LvSqqkp+PZ13t+EssDYKPGDrHV8+/XxhtqMekxyVDrFhJmRYJ8+vftvLZ7sTFHr9orh7lbMkJ8eXTz8up4N3hbMArEyzE+sqirvX2osi72fNsZiH+WXKbq9gnM/tVlV10rejTz87pnRbnKRHU3iffT6UdNj8eNsUeh/zS6Fn/QKtpcADttrx5dNekpvSOdbsqG9Hvi2ng/vm+DtYh7+XDsBW2cuvC73no1b+Zo9edzQ77m6yPRfP2mo39X68Seq9vHeF8wB8t2Yi6m0clblqe6mLvL8muejTpEtTBp+kLu02eSzmS/05dXnRJ9tU3iX9O0Zz297/SZ3pJEmqqnrMryf0/D2Q1lDgAVvr+PJpN/Xeu204w3xdzl1ABtion49a+Ww67z+X00HfLnJ0QnOjz1W286JBm+0luT2+fHqf+ljNXt1oBLRfVVXvkvw13f67ZGn7SW6rqpqnLvI691rRlMCH+WXKri3Pp8PSAQrY9PGNX9O3YzS37f3/W88Tms+F3kN+Xeg9lAoGX/NvpQMA/IGrbPddba81X04H89IhAHpsL/Vd+R+OL5/+7/Hl09Xx5VOXX3c65fjy6U2ST1HerdOb1EWezwugFaqqOqyq6lPqybu2lC1td5bkp6qqzgrnWImqqk6qqrqqquqnJD+lnvA/SbueT3vNtGAvbOHxmc8OSwfYhC1+//+RvdRfu25Sf/36qaqqrp/+RUuZwAO2UnNR7qx0jjW6X04HfV0sDbCNdlOXFc+TeT8m+Whn3vb57Hjtw7JJemM/dYl34cYjYFs1F5Dfpn4tZ/N2Ux+rOUly2tZpvKaE7MpF/EmSvpz2s63l0Z+TzEuH2IDD0gFWYC/tKunpERN4wNZp7vK+Kp1jjR6THJUOAcDv2kv9OvTT8eXTh2a/Glvg+PLpLPXU3WHZJL2zm+Tm+PKpKxc1gQ5pJo1uo7zbBoepp1m2tVD5mo+p/77eBW39GHyPbT2+8aS5uaDrtvX9/1J/Kx0AvkSBB2yVZu/dbekca3ZklwxAa5yknj766fjy6ax5naKApjy6ibtjSzo7vny69XkAbIuqqp6PU+7NcYEtsJvkQ1VVrbspt5kc7Mpe5L1mh1+nteD4xm3Otipd+DM+XF9fd+Vzn45R4AHb5jbdvjB3vpwO+nKMBUCX7KXZkXB8+fROgbE5x5dPu8eXT5/S7aO12+QwdantcwAopqqq3aqqPqTbJ7e03Zuqqj61cALpx9IBVqgLxcrXbPufsSvTaV/UTNu27XP8S0zfsbUUeMDWOL58ukq375yc2x0D0HrPO3YUeRvQHKv9U7r9/UEbPe/F8/wHNu6zIzO3/cI99evFT83HrBWur6/vkzyUzrEik9IBNmDbC7KuH6O57e//bzUvHQB+jwIP2ArNTpsu7yy4X04H56VDALAyirw1O758Okn3J/PbTIkHbFxVVYf5/9m7l+S2jqxd2OucqCYiPp4RFDwC0yMwhAmUNAKTnd211ERLUgtNyd3dITwC0ROA4BGYNYJCjeDnF4EB/A0ky7RKF4C45GU/T0SFbJdNLgIg9ka+uVZurw3VBELERUT80XXdVe5C9tBKF95ly2M0089WQ5BfQ41P1cLPdtv3/Tp3EfAlAjwgu7S7vuXRJ/cR8Sx3ERzNUM4vHMrPCYcS5J1A2tjzIYR3pRPiAWeTAiAbO+p103Xdm9xF7GiRu4AjmuQu4IRqCY9a6VL7i9RZ28L7sfGZFE2AB2SVFnxaX6B7sZyPhCHtGMoZhkP5OeFYHoK8P1L4xBOlx+8mdx3sTIgHnFwK71wb6ve667rin8e+7+8j4jZ3HUfSZHiU1DIitJagcV+1PP5fs+77vpXfdRolwANyu4mIce4iTujVcj5a5S4CgLMZR8TNdLb5VxoByR6Ed9V6OI8K4OhS4OPa0I6rGkK8aKcrp8kz2NL4zGpG6XZd1+LnghZ+plZ+z2mYAA/IZjrbvIk2LvhfsljOR+9zFwFAFuOI+DCdbT5OZ5tx5lqqILyr3uV0tvH8AUeVgp6r3HVwdMWHeKkrZ527jiNpcd2ltp+pqU7IND5znLuOI1jkLgC+RYAHZJG6El7nruOE7iLiVe4iAMhuEs7H+ybhXTOuprPNy9xFAG0Q3jWv+BAv2hmj+WPuAk6gtvGNtQWO39LCz3Pb9/06dxHwLQI84OxSJ0LpN+qHuA/n3gHwVw/n401yF1Ka6WxzGRHvctfB0bzzOgcOJbwbjNJDvF9yF3AkLYQt/1Hb+MzkorExmi10FBqfSRUEeMBZpe6DDxHRchfC9XI+WucuAoDijCPi43S2eacbbyuFdx+j7fuCIfrgNQ48Vdd1L0N4NyRXXdcVuZEndeesMpdxDK2FR7X+LC2EXrUGqJ9apzG5UDwBHnBu76L+C/3XvF3OR24CdrPKXQBAJi9j243X8vXwmwayqWeoHp5bgL10XXcVurKH6GV67kvUSpdOE+FRUtv4zAe1Bo+fauHnaOX3mgEQ4AFnk85EucpdxwndLuejN7mLAKAK49iGeEM+L+xjbB8H2jQZ+Osb2FPqECp5nCKndVNol9htbI/JqN0kdwHHUHn3VyudkLUGqI8tchcAuxLgAWcxgPNt1hFxnbsIAKrzbjrb3Axt3OB0trmJehdfdnUX227zz/3vLktF5/c6nX0M8FVd112G8I5tiFfU/UHf9/exDfFqNy7tsX2i2gOwqjshKw9QH9ym8bhQhb/lLgBoX1qU/Ji7jhO6j4gXy/mohV15AJzfVURcTmebF0M4Q3U621xFWx3597EN5f6Z/rzb9Z4g3SNdxnZX/Pfpz5bC3IvYLsg/y10IUK6u6x4+L7b0/sfTXETEh67rfkjBWSl+iTbuXX6K+jcR/Zy7gAM9j7o3f09yF3AEv+UuAPYhwAPOofUPY6+W81HtN8EA5HUZ25Gaz1q+pqSO/BY6LB524/92yNm3KehbxaNzYaezzfPY7s6+OqjCckyms81zZwQDX9H650X2M47tOarFbP7o+/6u67p11D/6+3lEvMpdxFOlDsJx7joOdNF13WXf97Xe71fdQRgR933fL3IXAfswQhM4qels8y7qb6//mvfL+WiRuwgAmnARER+ns80kdyGnkLrNPuSu40D3EfE2Ir5bzkfXpwillvPR7XI+uo6I/5e+V0kdCE/1bmhjYoHddF3X+udFnmbSdd2b3EV84pfcBRxB7WM0Wzh7LaLSnyN1S9c+wnSRuwDYlwAPOJk0Iutl7jpOaLWcj6rdvQYNq3U3I0T8GeJd5S7kBG6i3l3Tj4O7N+cYm72cj+6X89GbiPguIt6f+vud2DjavicEnqDruufhvYEve9113SR3EY+00kk+yV3AAWoPjx7U+nPUWvdjLQTxDIwADziJNCLrXe46TmgdES9yFwF8VgvdKnDTUoiXfpZaP/TfRsQP5wruPpWCvFcR8UPUvUHh5+lsM85dBFCGruvG0cZIZU7rJnX9ZNf3/TraCPFq7f5qYXzmg1o7IWsfn7lKv8dQFQEecHSPRmQVcaN9Ii9yLOIBMChNhHgptKl1U8+r5Xz0YjkfrXMXks5GfBb1jv65iIjXuYsAinETbX9e3MU6/jwH9Uv/G7pxlHUP8WvuAo7gMgXotakyePyKGn+eSe4CDtTC7y8D9LfcBQBN+hDt7Iz6nOu0iAYAp3YznW3Wy/lolbuQA9S4SHsfEc9Ku96nzUPX09nm31FnGHY1nW3elhCIAvl0Xfcy6l8I3tddRPyW/lz3fb/z9SV1oF3G9jH7Pv1Z23X1EFdd1/3W93327re+72+7rruP+h//51HfeO5aJzl8yfOIqOZIljTyuObX/X3f94vcRcBTCPCAo5rONm+i7Q9ji+V8tMhdBEBm69htB+P/xHbB6cFl1P3BL5cP09mmuDBpF6mDcJK5jH3dxbbTfp27kC9ZzkdvprPNOuocP/c6Iq5zFwHkkTp/atyA8BSr2N4v3fZ9/+TpLem/XcWjjry0mP6P2IYAQ7i3etd13eqQx/GIFlH/2Y0/RkUBXmPjMx+Mu6673CfMz6z28ZnZNwDAUwnwgKOZzjbPo+0PY3fL+ciCE0NRwodjyrVezkdvnvofp1HLD8HeJP4M+gR8n3cRER+ns813NY1vTs9zSWOvdnEX28674h/n5Xy0mM4230d9i4jPp7PNqyM+xq/ivO8bP0XE1Rm/3zE9y13AAda5C+BoauzK3tciIt6e8qyl1I12GxHXXdddRcTP8ddNU60Zx3atoYSOpV+jvmvvp553XXdRSCC6ixrHTe7ip6jnfOPaOyB/yV0APJUADziK6WxzGXXuAt/VfdS96AF7Wc5Hd9PZJncZNCot3K/S364e/3/pvLTL2O4MnkTbi1H7eAjxqgiXktdR1yLtOioJ7x4s56NXKSi9yl3LHi5iu/D55hhf7Nw717uum5zz+x1T3/er3DUwbClommQu45RWEfHq3O9LaSzcIr0/3UR7nUoPXnZd92vujqW+7++6rruL+u9Rn0c95+rWHh59ySR3AbtoYHzmXe73DTjE/81dAFC/tHDU+k7Kqhb0AGq1nI/Wy/nodjkfvVrORz9ExP+LiBexXWAY+vvwZVTS0ZaC2Jp2p9/Hdmxmja+xV1HP7u0Hre6kB74gneNWxTXsCe5jG9w9y7lI3Pf9qu/772J7XajxeraLUl5DLXTzVDESMQXT48xlnMplGitcuh9zF3CgFn5fGTABHnAM76L+3Wdfc13juUMALVjOR/cp0LtezkePw7yhukrnypWutq78aq/1KXSsbcT3OI1eB4bjZbS54fMuIn7o+76Y88RSLT9EfZs7djFJ3UC5tXCe1iR3ATtqfdNPCa/nb6mhxi+5jzZ+XxkwAR5wkOls8zLqGtu0r8VyPlrkLgKArYcwL7adea9imOcivUujq4s0nW0mUc+iUETE2+V8VPUH+xQ+vs1dx55aX5ADktRh0uJZ6YuIeHbKs+6equ/7dd/3P0Sbm56yd+Gls+MWues40EUhYei31FDjIYq+H+q67jLq7oC8reisR/gsAR7wZGmBLvvN8wndpUVieGyduwDgP51575fz0Xex7cpbZS7pnB5GV5eqpkXau+V89CZ3EceQfo515jL28TyNYQfaV9N1YVfv+76/Ln1huO/766ivS/tbxuk8xdx+y13AERQ9RrOBs9d2UfoYzaIDxh38mrsAOJQAD3iStODyIXcdJ3QfEc9yF0GR/p27AOCvUlfes9i+b68yl3Mul9PZ5k3uIj5VYfdda4uatf08re+qh8FLC9NXmcs4tuu+71/lLmJXfd8vor7rw7dkD4X7vr+NujbOfE7p1+GiA8YjKvl5KLm2b1n3fb/KXQQcSoAHPNXHaHsn1LN0pgwAlVjOR6uBBXmvCxylmX1BbQ9vaz337kuW89Eq6nrt/5y7AODkarou7OI6BWJVaTDEK6ULr+oR3LEdo1naveRjNYdH+yiyyy1twBhnLuMQv+QuAI5BgAfsbTrb3EREyTd5h7pubUGvUOvcBQBtehTkXce2o7plxYyyTmHiJHcdO7qPiPe5iziRms7CuzRGE9rVYPfd2xrDuwep9pquEd9SQjjcQkBQang0hPGZD0odo1l7gLrIXQAcgwAP2Mt0trmKtj6Efer9cj5a5C5iIIyiBE4qvZ9/F/Xvjv6aSbo2l6Cmbqq3rXbapy68deYy9lH74hDwZTVdF75l0ff9m9xFHCr9DIvMZRzLuOu6Sc4C+r5fR12d759T6nV4KOMzH5T4PBQZ7u7otvQzSmFXAjxgZ2ln/U3uOk5otZyPqjnLAIBvW85H98v56EW03Y33OncXU/r+Vzlr2MN6OR+12n33oKYOi6Et0MEgdF1X03XhW+76vm9p/OSriGhl4kwJXXi/5i7gQONCx2iWGGid0o+5C3gsdQSW+LrYVe2/l/AfAjxgJ2lh7kPuOk5oHREvchcBwGmkbrxn0c6C1WPjiHiZuYarzN9/H0P4QF9T1+kkdwHASbQy/u4+tvcPzUhdKa1sbJoUMHrwNup/LCe5C3hsYOMzHzxPGx9KUXOAuu77vqZ7YfgqAR6wqw9R9+G1X3MfES9aHaUFwFY63/RZ1D/q6HN+ztyFV8uYtJbPvvuPdE+zyF3Hji6ms80kdxHA0dVyXfiW6xbHsPV9fxd1dWt/TdbXWnp91B4WlDYqcajd+SWFZjU/B7X/PsJfCPCAb5rONu+isB1ZR3adFnUBaFwaqfks6gk3dnURmbrw0ojtcY7v/QS3A9qw81vuAvYwyV0AcDxpHF/No9ce3LbcxdH3/ftoY1NTCaFH7d39lwV0MkbEf8bvlvCc5lBEaJaeg0nuOg7wS+4C4JgEeMBXTWeb55F/LNcpvVrOR81+KAPg85bz0XW0F+Ll6sIrbdf21wzpA/0qdwF7KOrcF+BgNV0XvuRhzGTrWjgDfpxGLmbT9/0qtsdy1KyU0GyI4zMflDJGs5TXwlOs+r5f5y4CjkmAB3xR2lF/k7uOE1os56Pmx2gBnEATHUwNhngXkecsulo+5K+H1HGfOg1XuevY0SR3AcBRXeUu4I3N0ccAACAASURBVAh+aXF05qfSKM0WPhOX0LlUexdeKZtpSngucyrhvrrm56D230P4LwI84LPSDv6baHfn011auAVgf//MXcCxpGvBKncdR3TWc2BqG5+Zu4AMfs9dwK7SawmoXOqEqv0z5DraCLV29Tbq35xVQuixyF3AgbJ3fw18fOaDrOFZ5c9BC+dRwn8R4AFfchNtnFvwOXcR8Sx3EQAU40Vsrw0tGKfx1+dS0wf8Ie7IXeUuYA+T3AUAR1Fz58aDt0PovnuQftbaR0xfFDBGcx11XXc/J/d9Xe7vX4LcQeok4/c+1O2Q3rsZDgEe8F+ms82baPfG6T4irtNYKQB4GDV4HfXvPn9wzrOHShm39C33Qxqf+UhNP/P3uQsAjmKSu4ADDbWDY5G7gCMoITyufbNQ7scw9/cvRc71uJqfg9o3IsBnCfCAv5jONpOIeJ27jhN6NdAFPAC+Il0bWhmt/DyNwj6p9D0mp/4+R7LKXUAOKZxe565jR61OfoDB6LquprHKXzKIs+8+lbrHFpnLONQkdwGxDX9rfv1Mcn3jykc3HlvODXK1PgfrdKYnNEeAB/zHdLYZR8SH3HWc2LtzLGoCUJ/lfHQb9S9ePTjHh+/JGb7HsVRzFtwJrHMXsCMBHtRvkruAI1jkLiCj2rtXxilEziaFvzV3cOYcRVprcHQKWR6Lys8wrf39C75IgAdExH920X+Iei/Wu7qIiI9CPAC+4FXUvXP6wTnG39QUuKxyF5BRNeHldLap6TUF/LeaR69FbM9PWucuIpfUvVJ7B8skdwFhjGZt37dEuYLUmp+DmoNz+CoBHvDgKupaiDvEZQjxAPiMNHLwVe46juAcYzRrOf8ujM+uxjh3AcBBJrkLOFDtwcsx1P4YZL836ft+FfV0v3/O2YMj4zM/K0eYVutzMOjNF7RPgAc8WEUbHQe7uoyId7mLAKA8y/loEW10bJ36Q/jkxF//WFa5C8hslbuAPQxlMxk0p+u6Se4aDnTf970Ojvq7WCa5C0hqDkIvMowirTU4OqWzPibpOa91k3vNv2/wTX/LXQBQhuV8dDedbZ5FxMeo96K9r6vpbBPL+eg6dyEAFOdtlLMI9FQ/xonO8qls1OHldLb5mLuIjGq6r/t77gKAJ6vpuvA5tQdXR9H3/brruruo9/m86LruMo0DzWkREa8z13CIn+K841R/PuP3qsVF13XPz7ix4KczfZ9js/mC5gnwgP8YcIj3e+q2AICIiFjOR6vpbLOKukO85xFxqk0qNS3sXUTdz+OQjHMXADxZ9tGFB/otdwEFWUVd1/lPXUbms/xSELqKeu8/nseZRsp3XTeOul9vp/SPON/mglq7IBe5C4BTM0IT+It0RsyzGNY4zZvpbHOVuwgAilP7OJaLE3bKjU/0dRm2ce4CgCerfQF+lbuAgtQeZn6fu4Ck5vvI8RnHaNYaHJ3DWR6b9FyPz/G9TqDm3zPYiQAP+C+PQrwheVfZODAATix1Z9e+oeVU17baOy0o0zh3AcCTjXMXcIBV3/e1X++Ppu/7VdR9/1PK5/rbqPtxnJzp+5Q0uvE+Ita5i3jk4kzni9Yaot4VMC4XTk6AB3xWCvGGdDbcRUR8FOIB8IlF7gIOdKqgbSijtjmz6Wwzzl0DsJ8zLTCf0u+5CyhQzYvik9wFRESkULjms7lOHqwVOD7zNiJe5C7iE/9o5Hucwi+5C4BzEOABX5Q6D4YW4t1MZxuLknzN/+QuADir2seyjE/0dUtabKEt49wFAHsb5y7gQKvcBRSo6lAzBUMlqHkc6eUZHsfSOr9+Sx1d69yFPHLSx6jAEHUfNQfksDMBHvBVKcR7m7uOM7qMiI+5i6Botd7cAk+QOtKNP3rERhcAPjHOXcAh0shI/mqVu4ADjXMXEBHR9/1tlBUG7evUAVtR4zPT8xVRVjB06vMISwtRd7Uw+pihEOAB37Scj95E/SPE9nE5nW1uchcBQDFWuQs4xAnGQ9vIwCl5fUF9vs9dwAFWuQsoUQOhZknXkpLCoH2d7MzjAju/Fo/+urQJHKcMOksKUfdRc3cr7EWAB+xkOR9dx7BCvKvpbPMudxGNO9mHAYAjq3qMVDivjrp4vUJ9av69rfmst1Or+bEp6TVZ8zldz7uuO9VjWVrn139Cu6GM0SwwRN3V+lG3JDRPgAfsLIV4Nd/E7+vldLa5yl0EANnVfu2bFP71AKjbJHcBB/h37gIKts5dwAGK6Qrt+34ddd9LnipoK6nza51Cu8dK6sI71RjNyQm+5jkI7xgUAR6wr2dR983nvm6ms80kdxEA5LOcj1a5a4AB+XvuAoBBGdJn2339M3cBByipAy+i7i68fxz7CxbY+fW552dx7iK+4RSB59Gf2zOp+fcJ9ibAA/aynI/uYxvirTOXck4fTnB+EAB1qXmBr5hd6LCDce4CgN2lhfia1Xx9P7WaH5tx7gI+UXPH0OQEX/PnE3zNQ/zX81Ng5+RROyHTaNTSxpju4i49NzAYAjxgbynEexER97lrOZOLiPg4nW1K28UHwPnUfM079vVLIAjAg3HuAg7R933N1/dTq/mxGecu4LH0Oqs1xLvouu7YQU9JwdHXAqGWx2iW9BzsQ/cdgyPAA55kOR/dxbYTr+ab+n0I8QCGraQduLm5FgLQglXuAgrn3ue4SgqD9nW0UYsphBof6+sdwdcCodJC18kRv1at4zNLe07g5AR4wJOlEO86dx1ndBkRN7mLACCL/81dwAHGuQsAAOpSe3diGhFYjL7vb6PeDdDH7NY6xVluh/hiIFTgGM1jPnaTI36tc1nU/r4ETyHAAw6ynI9uY1gh3vPpbCPEA6Am49wFANCsSe4CDlDSwnyp1rkLOECJ59jX2j10ccTxjSWNbrzdIRAqqXPy8hjnjqaRqEUF3Dv6LXcBkIMADzjYcj5aRMTb3HWc0dV0tnmZuwgAgAaVuOAKtKnm7vpzWecuoDE1n991cPdXgeMzdwmESgtdjxGA1jg+8z51scLgCPCAo1jOR28iYpG5jHN6N51trnIXAcDZGNcC51HjjnAA+Ka+7++i3lD0GMFRSeMz7/u+X3zrX0pjNEsKjo7xGJbUBbmrRe4CIBcBHnA0y/noOoZ1UX03nW3sEgcYBgEeAACHqrULb3yEMZolBUf7hHIljW48aIxmxeMzSxplCmclwAOO7VUM5yyBi4j4OJ1txrkLAeDkxrkLAACgeiV1c+1r8tT/sMDxmfsEQqU9Z4cEoT8erYrzuUvdqzBIAjzgqJbz0X1EPIthhXgfprNNjTuYAAAA4Et+z11Aa9JIxlXmMp7qkPGNJY3PXPd9v9r1X+77/j7KCvEOeSxL6oLcle47Bu1vuQsA2rOcj+6ns82LiPgj6mzN39dlRHyMiB9yFwIAfNFqOR89y10EADB4v8YB3WwZXXZdN04h5L6ujlzLIZ4Sxv0W5YRfl13XXaRgcWcFdkHuapG7AMhJBx5wEsv5aB3bTryhnBl0OZ1tbnIXAQAAABStpG6ufe0dYhV47tpTOrpKe86eEiaW1AW5q9t9g0pojQAPOJnlfHQXES9y13FGV9PZ5k3uIgDgE+vcBRTiMncBAFCZv+cuoEUpkFjkruOJnnKG2j+OXsXTPek8tQLHaD7lMS2lg3Afv+UuAHIT4AEntZyPVhFxnbuOM3o9nW2uchcBwNHVeOD7g3XuAgpR0s5vAKjBOHcBDas1mHjedd2+91QlBUeHnKdW0nO21/PQdd046vt9vu/7fpG7CMhNgAec3HI+WkTEq9x1nNHNdLaxyx+AVv2eu4Cnms42QjwAILu+72+j3iNHdg7kChyf+eQuuhQmlfSc7ROMlhSi7qqkjkfIRoAHnMVyPnof9Y6IeIqPQjyApnhPb4PnEeC49h5FB/zHIncBT7TP+MaSxmeu+r5fH/g1SgqV9nlsazz/7pfcBUAJBHjA2Szno+uo9wZ1XxcR8cFOf4Bm1Px+fuyOuZJ2Hu9LgAdwXDVfE2oej30u1d7/9H2/yl3DDg4Z55jTZI9/t6TOr2M83tWN0UzjM2u7B14/5axCaJEADzi3VzGcXZrj2HbiVfuh58Q8LkAVprPNJHcNhan5Ov597gIAoCK1LfpXJQUU69x1PMFFGo35VS2Nz3xQ4OjTXQLSkkLUXdUabsPRCfCAs1rOR/cR8SzqXvzbx2VEvMtdRKF8GARqUfv71frIX6+kRYt91f5cApRmnbuAA5QULDBctY4J3GV8Y0njMxd93x/rHra2MZolPQ+7WuQuAEohwAPOLoV4L6LuBcB9XE1nGyEeQL1q79paH/OLLeejmjfhXOqMBzieI5wnlZNNHV/Rdd0kdw0HWOUuYA8lhUH7qK3z65ijL4sao/m1/zON2Jycp5Sjuav82gJHJcADsljOR+vYduINJcR7OZ1trnIXAcCT1L7Ad4rAbX2Cr3kuJS0mAZBROhuKz7Ph5QxSUFHj5qiLruu+eI9c2PjM+zT68ihKG6P5jXGmNd731tqVCichwAOySTv4X+Su44xuprNNjTdPAIOVurWqDvBS5/uxrU/wNc/lx9wFADRmlbuAA4xzF1Cwmu9/agvEag0sfnri/3dup+hyLKlz8msjMmscn1nSYwvZCfCArJbz0SoirnPXcUY309mm5g9CAENT+8aL1Ym+7u8n+rrn8NwYTYCjKqYT5Ql8NvuymkeI/2/uAvZUa2Dx2fvkNLaxpHvoUwSkxY/RLPB52MXtEc8qhCYI8IDslvPRIiJe5a7jTC4i4uN0thnnLoQns+gLw1J7t9b6RF+3tp3tj9W4mAFQsn/mLuAAf89dQMFqDjeruk9JgUWNId74C2M0S7rPWvd9f/TXQxqjuT72132iiy+M0Zycu5Aj+DV3AVAaAR5QhOV89D4iFrnrOJOLiPhg93+1av4gC+yvpAWIpzjVompVC2OfUdJYJ4DarXMXcAD39p+ROnfGues4wDp3AU9QUkfXPiaf+WcljW08ZTBaUuj6uce8pOdhF0c9qxBaIcADirGcj66jrBugU7qMiA+5iwDgy6azzVXU33W7OsUXXc5H66hzcezBxEhrgKNZ5y7gAJPcBRRqkruAQ5yi4+rU+r5fRJ3jaP+yKarAsY2nPF+wpG6xzz3mJT0PuxjKeiDsRYAHlOY66t/Vv6vJdLa5yV0EAF9UfZfWcj465TV1dcKvfQ4/5y4AoAV9369y13CIrusmuWsoUM0jxGteT6gxwLjsum786O9LCo3u+r5fn+qLp6D4ZF9/T38Zo5n+uraNiCUFolAMAR5QlOV8dB8Rz6Kcm6BTu5rONm9yFwHAX6WzSieZyzjU6sRf//cTf/1Tu3ImLcDR1ByaTHIXUKBJ7gIOUPNrsdYxmo9Du5LGNp4jECopdP3HF/66BuvaN4PAqQjwgOKkEO9F1Dk+4ilepzFtUAxnNEK8zl3AEZw6YFud+OufQwvPM0AJag5Nau42O7rUTVXzmOlTnf97cun8r3XuOp7gx4gix2cuzvA9Suoamzz665Keh12UFIRCUQR4QJHSyK9nues4o5vpbDPJXQQ8UvOH9hp5vAuSurKuMpdxDKtTfvF0Dl7NC7YR2y68Se4iABpQbWgSdXebncIkdwEHqv3epMYg43mB4d1t3/cn3xRe2BjNcdd1l13XXYbxmdAMAR5QrBTiXeeu44w+TGcbi/gwTLV9wGpdC11Z98v5aHWG73OO73Fq73IXANCAVe4CDvH47CiqG733Fw2M4as1yHgeZb12zjmOtKTQ9aeo7xzvuxSEAp8hwAOKtpyPFhHxKncdZ3IRER+NLgTIJ3VjXWUu4xjOtZBQ6yLTY5fT2eZl7iIAapYWX2s+AqGk4CGbAruo9rXKXcChCuvo2sdNlPPauY/zhmol3Q+/TP+rSUmPHxRHgAcUbzkfvY/zzC4vgRCvAsatQdNa6cY69fl3EfGfbvn1Ob7Xib3WBQ9wsFXuAg5QSvCQW+2Pw1nuf87gl9wFVO4s4zMfVBy6lqKkDkYojgAPqMJyPrqO4VzULyPiQ+4iAIZmOtu8iXbOIxzqruOnuojtebQ20AA8Xc3hyUXXdVe5iyjAz7kLOFArawat/By5nHN85gPP2dOs+r5f5y4CSibAA2pyHfUfSL2ryXS2ucldBF80zl0AcFyps7aFs+8iIm6X89E5x5gtzvi9Tuky2unABMih9gXs2s6NOqqu6y6j7o1M962co5UCjSZ+lgzu+77P8V7Uwoa2HDxu8A0CPKAaaTHyWdR9tsI+rlI3COUZ5y4AOJ7UddVS5/NZPwgv56N11D027bEr5+EBPE0KHdaZyzjEpOu6ce4iMtJ9VxbBxtMscnzTFB4LXffX2u8tHJ0AD6jKAEO819PZ5ip3EfyX73MXAJn9PXcBx5LCu4+xHaHYgvvlfGTX8WHeufYCNei6rsRrV+2Lsa104+8lvZauctdxoJpHuH5O7b9LueS8J23pfvgcznpWIdRKgAdUZzkf3UXEi9x1nNFNGu1GOca5C4DMxrkLOKKbqHtc1KcWOb7pcj5aRN1dF5+6EeIBFSjx+lX7AvbVQLvwWug+byrwSh2tTf1MZ7DOPEbV87Wf2q8XcBYCPKBKy/loFdsz8Ybiw3S2KfED+lB5LqAB6azR57nrOLJfBvq9T0GIB7CntHi+zl3HgQbVhZe676ofn9loJ89vuQuoTNZ7UWcX7iXXWYVQHQEeUK202/997jrO5CIiPqZRbxRAVyTULYV3V7nrOLJFOo8u2/eP9kZcC/FoRtd1NiBxLrUvyl4N7PflddQ/SrzVoKv236VzK+Hx0lW2mxKeK6iCAA+o2nI+ehWZxoVlIMQryyR3AcD+prPNxXS2+SPaC+8iMi8YpHNqW+vCi9iGeO9yF0ExfsxdwAHcQ3IuLSxgD+J9P40LrX185n3f94vcRZxC6ioUdOzmLnXA5eb52k2roTscnQAPaMGrGM6YgsuI+JC7CCKi7gW8r5rONs9jey5YrSa5C6BMaRTxx2hzDO4qjZfO7X2014UXEfFyOtvYRAOwg0bGaE66rqs92NpFzff8D1oPTAQduyliE5kxmjtZG58JuxPgAdVLO/6fRf0fEnc1SaPfyGvS2kLudLYZT2ebD7ENiceZy4GjSsF0q+FdRMTb3AVENN2FF7HdHPAvI5QBdtLCteB1y6M0u657Hm1sfGvhtfZFqbuwxc1Rx1ZSINRCF/IplfRcQfEEeEAT0oLhixjOje3VdLZ5k7sI4nnuAo4hjRR8ExF/RCM/EzxIr+93sQ2mmwrdHyml+y4iIpbz0Ztod1PNwzjrd61t4gA4skXuAo7gIiJuuq5r7v0+jc5sYVPoOnV8tk7g8XW3adxoKTxfXyfghD0I8IBmLOeju9iGeEPxejrbXOUuYuB+zl3AIR4Fd/+KNg6vh79InVJ/RP1nu3zLq9wFfEYRHYEn9DIi/kidnQB8Ii2mL3LXcQSX0eZ5eDfRxr1/6/cbD4zR/LqiHh9jNL9qKKE7HI0AD2hK6kC4zl3HGd0Y5ZXVZY2PfwruXsY22BDc0Zz0Gr+J7cjMceZyTm2RNrAUZTkfLSJilbmMUxtHxId0Nt44cy3A0/09dwENa2W04VVL5+F1Xfcu2hideR8D6XRK54WV1GFWkvs0ZrQ0usw+bxC/s3BMAjygOWnR8H3uOs7ow3S2afZshgq8zl3Arj7puHsX7QcbDMwnr/GrvNWcxX2U2X33oOTajmkS27PxbgR5UKVx7gJalbosVrnrOJJ3Xddd5S7iUOlnaCWM/KWwsYmnJvj4vFIfl1Lryq2VjR1wNgI8oEnL+ehVDOeG6eE8Hl1UeUxK78KbzjbjdAaYUZk0acDjYN+mM2CLlDoDh7Sh5ioEeQCfamnE4U3NIV7XdZfRxrl3Dxa5CzgzwcfnFdnpZozmZ92lxwXYgwAPaNl1DOeGqcYQb5W7gCO6KfGxn842kzRG8F+x3WlbXI1wiIGH03fL+aiGcOxtRKxzF3FmV7EN8j44Iw8Yur7vV9HWZ7IqQ7wU3n3MXccRLYYWBKSO1nXuOgqzTu8xpSoyXMzI4wFPIMADmpW6Ep7FcGbFt/ahrCbjKOhw++lsczWdbf6I7evhKnM5cFSp2+5qOtt8jGGH01Wc95quxVXUegLPYzvm+l/T2eaNrjxgwFrrHKoqxOu67nlsPxe0dL/UUmfnPoYyZWhXpT8epdd3bh4PeAIBHtC0IYZ4qeOK87vK+dhPZ5vL6Wzzbjrb/H+xHY3jXESakTrtrqazzYeIeHiNT/JWldWrNJ6yCsv5aBXDGqX5qXFsO0T/NZ1t/pjONi+FecCQ9H2/iLamb0RUEuJ1XfcyIj5EW+Hd+6F13z2ig+mvin48jNH8i9WAf2/hIH/LXQDAqS3no7vpbPMq2pr3/zVX09nmPp0DWLLfo70F+Ks0SvP6HOdSpQXg5xHxUwjsaMh0trmM7Wv6x9i+T4xz1lOYVSWjMz/1NrbP5dDfqx5e2++ms81dRPwWEbc1BbIAT/RwHWjJTdd1P0bEq77vi9ow2nXdRWyDu0nmUo7tPobbfRd93991XbcO98YR2/PUarh/+jXc/0YUHrZCyQR4wCAs56NFClaKGXN4Yi+ns80/l/PRInchA/Q8IibT2ebVKR7/FGw8j4h/hA8CVC69Lz8EGn9/9Nct7RI/pvuIeJG7iKdYzkf309nmOiL+yF1LQR5e76+ns819bLtTfo/t+YarjHUBHF3f96uu61bRXqB0FRGTruuuSzmLK3UGvos276d+KS0szeA2tiPkh66WQOg2hrMO9TXGZ8ITCfDgMBbPK7Kcj95PZ5vvYzhngt1MZ5soOMSrYbfcU13E9vF/Hdsb1V+f0l3xKNyYRMT36c8WP4jToNQhOk5/+/ivf0x/Ts5ZTyNenKO791RSR/x1DKcjfh8Xsd2c8TwiYjrbRGyvk3cR8c+Hv675+QeIiFfR5kaOcUR87LpuERFvc42J67puEtugoNV1inXf929yF1GAX0KAF1FJINT3/brrurto9/dyF7eCd3g6AR4cxkJ6ZZbz0fWj0WxD8G4629wVOpprnbuAMxjH9sPVy9Rd8bAY+7/p/1/F9n3k8evx+0f/zHsMpbqczjYfH/99eL2e2qsWurJSR/yPMZzNNIf4r/uVFOyt0t/+nv58+Pv7Uq73nwT4jwkhYcDS+L/30W74cBURVynI++Vc4/1Sx93P0f5n3NKPiDgLgVBE1Hee2tDHaP6WuwComQAPGKJnsd35Oc5cxzlcRMTH6WzzrJRFvQepEyN3Ged0EduOo8mjf/Y6SyVwuIfXM+exqPTcuy95FZ8Jp9jZ5JM//3Mt+eS6uvrCf38f266+L/mf2P25Gcce91PL+ej/7PrvAs16G9ugq+WNP1exDfLuYrtwf3vssCF12/0U287tlh/LB7d931fRcXUmQw+Eahmf+WDIYzTvo5JuSSiVAA8YnHQOz4uI+BjD+LDzMM7xWYG73oe+cxDgW+6W89F17iKOKV2Hn0XEv2IY1+FcJl/5/56fq4hHSrsHATLo+/6+67rriPiQu5YzeNis8q7runU8Out03+68FNhdxnYU+SSGdf28D913nxpyIBRRWSA08K5J4zPhQAI8YJBS99dDiDcEl/FnJ15JN09DvYkF2MVdbLvGm/MoxBvKZhraPvsW2EPf97dd191Gns0EuYwjdeZFRHRdF7E9UmD96N95GI3846N/Zkx5xnMFSyUQqjIQGmrXpPGZcKD/m7sAgFzSWUJNdTV8w2VE3OQu4hO/f/tfARik+4gobdPFUaXRzk0GlHzWOncBQFGuQ2fuOP4csT+J7Ujk15/8s6GHd7d937c0RvyYahsjeSy1/txVdQ0eyb3Rt3A4AR4waMv5aBERi8xlnNPz6WxTUoi3yl0AQIGaD+8epBBvSJtphuzfuQsAypE6aLz/8zVeI183xGCk2kAodZEObRpBlc8VlEaABwxeOltolbuOM7qazjYvcxcREbGcj9ZhRz7AYw/h3WA+4KfNNBbo2jeY1zSwm7QQv8hdB8V6UemoxLNIgdDQApLaf95auwefamg/L5yEAA9g60UMa2Hp3XS2ucpdRLLKXQBAIQYX3j0Q4g2CRVjgc17FsD6HsZu3fd+vchdRgaGdL/ZL7gIOVHsAuY+132E4DgEeQESkMWVDO4fhZjrbTHIXEcP70AHwOXcR8cMQw7sHQry2pbOHAf7i0SjNIX0O4+tWfd+/yV1EJYYWCFV9nzywMZpDem3CSQnwAJK0aPoidx1n9mE621zmLGA5H92GD+zAsN3FtvNunbuQ3FKI90O4LrTG8wl8UVqUt4GDiO3xCkP7TP5kKQAfSlDSys85lLGSQ/k54eQEeEBExEXuAkqRdocP6cPjRUR8nM42uV8DrdyMA+xrEdvwTsCRpA01z0Lo05Kh7DYHniidh/c2dx1kdR/OvXuKoUy0qX185oMhrH1U3y0JJRHgARERWTuwSpN2/y8yl3FOJYR4dmcBQ/R2OR9dC+/+WwrxvgvBTyvWuQsAypfGJi4yl0E+Lyz6P8kQAqG7NH6yegMZo2l9B45IgAfwGcv56DoiVrnrOKPLiPiY65unzsd1ru8PcGb3EfFiOR+9yV1IyVKw+Sws5rbg37kLAOrQ9/3QPoexdd33/Sp3ETUayBjN1gKh1n6eTy1yFwAtEeABfNmLGFaodDmdbW4yfn8jcxik3OdQcnYP5921vtByFMv56D5tqnmVuxYO0vpOc+C4XoT3jSG57vt+kbuIyrU+RrO1++bWfp7HmumWhFII8AC+IO38fxHDOoPnKmOIdxvDeqzhQe4zKDmf98v56Ic0HpI9LOej9xHxQwxrY01LXN+BnaWOomchxBsC4d1xtPxZ+ra1QKjxMZqtdxfC2QnwAL4iLbJe567jzK6ms83Vub9pCkxbOZga4LF1bLvudJEdIF2TfwhjeWrU6iIVcCJCnbINPwAADyRJREFUvEF4K7w7jsbHaLbaXdhq0NXq6xCyEeABfEMacza0RdebHCFeRLyPdncOAsP0PiJ+SGd9cqBHIzWH1iFftbRJB2AvQrymXfd9/yZ3EY1pNehqNRBq8ecyPhNOQIAHsIM0umuRu44zuzn32VxpgW9oYSnQpnWkrjvhxfGlzTXfxfCuzTVa5S4AqJcQr0nGZp5A3/ctjtFcpPeA5qSga525jGMzUQlOQIAHsLtXMbwPjh8zhHiLGN7jDLTjPiLeLuej73Tdndajbrxn0d4CSEuaXHgDzudRiLfIXAqHE96dVmtdXa12FT5o7flq7eeBIgjwAHaUOiiexXAWotYR8TbyLIoO7dzBEq1i+/wDu1tExHfL+ehN5joGZTkfrZbz0Xexfc8ayjW6Jv/MXQBQv77v7/u+vw4hXq3uI+KZ8O7kWgq87lNXYctaOgfvttVuSchNgAewh4GEeLexHfv23XI+ep9j9NtyProL4VEu64i4Xs5Hz8LYM9jVbWyDu2vjMvNJwamxmuVZ5y4AaEcK8Wz2q8tdbMO7Ve5CWtfYGM3Ww7vo+/4u2rlPaik8hqII8AD2lMKl1s5pu49tYPbdcj56UcLYt7QQa5Tm+axjG9x9l8aYAt+2iu2GhxfL+WiduRbiL2M1BXnlWOcuAGhL6uL6IdoJKlq2im1453Pd+bQSfLXUnfY1rTxfrfwcUJy/5S4AoEbL+WgxnW2+j4iXuWs50Coifi04sHkREX9ExEXuQhq2ju15XYvMdUBNFrH9vVlnroMvSM/N9XS2eRsRryPiKmtBw2bRFji6vu/vuq77LiI+RMQkczl83tu+79/kLmKAfov673vWA+rY/DXqX1cyPhNOSAcewBMt56NXUecuo/vYLj7/sJyPnpUc3KQF2Ge562jUOnTcwT7uI+J9/Dkqc525HnawnI/WOvLyMlYWOJV0Lt6zMHq/NA/n3b3JXcgQNTJGs8Z1lidpZIym8ZlwQgI8gMNcRz07y9exHf35sPhcRd2pTudcHM9dCO5gHw/vQd8t56NXgrs6fRLkvY36F7ZqscpdANC+FBT9EPV8LmvZbUR8N6DuqVLVHoANZXzmg9qfr9rrh6IZoQlwgOV8dD+dba4j4mOUO+bxNiJ+KeFcu6dKI0sjIm5y11KxVWxH/q0y13EOf89dANV76FT+tZbNDuwmBbBvIuLNdLa5ioifI+IyY0mtE5QCZ5G6WH7ouu5NbEcnc173EXGdur/Ir+YxmncDPDOx5jGaxmfCienAg8P8mLsA8kuLuy9y1/GJ+9h2GHy3nI9etBDapG4xnXj7W8Sf41JXmWs5l3HuAqjSQ2j3Yjkf/b/UbTe0xYNBWc5Hi+V89ENsuzbeh7DpFP6ZuwBgWFI33nehA/ic3se26054V4jKx2gOrfuu9jGag3u+4Nx04AEcwXI+Wk1nm1cR8S5zKavYdowsMtdxEjrxdnYfEb9ExMK4P/iq+9h2Kf+2nI8sOg1UCmrvIuLVdLZ5HhH/iIjnUW5nfU3WuQsAhqfv+3VEPOu67nlsP5+NsxbUrlVEvDUus1i3UWcX3lDvyVdR3/N1L7iH0xPgARzJcj56P51tvo88N12L2I7JbL5bJIV497EN8Syu/tU6tp2Xt8v5qNYdl3Bqd7EdK3Q7hPdM9pOC3NuIuBbmHcU6dwHAcKWF5duu617Gdqym9/LjWMc2uFtkroOvq3GM5l0K4IeoxudLeAdnIMADOK5XsT1L5xzn6azjzy6rQYU1y/nodjrbrGMb4jm76M+zulaZ64ASrWO7o/X3EG6zh0/CvMuI+CkiJuG6sw8hOZBd3/fvu65bxPaMqZ9DkPdU6xDcVaPv+9uu6+6jrtf7YMcxVvp8/Za7ABgCAR7AES3no/vpbPMsIv4Vp7vxuo1tWDPo3U7L+eguPdavo94Dnw+xju0HHGMy4a9WsQ0Nfo+IO78fHMOjMZsxnW0uYtuV92NsA71xtsIKJzAHStH3/X1EvOm67n1s38Nfh/fvXa1DcFerVWxf77VY5C4gs5rGnhqfCWciwAM4skch3h9H/LL38eeYzPURv27V0sLgq+ls81tsu/HGeSs6CwEu/GkV21Dl37EN61ZZq2EQ0rVnkf73EOhNYtuZ9xDqsf39BChKCvIWEbFIZ+T9HN63v2QVEb9YpK/ab1FPgHebfj+HrKYxmt4X4EwEeAAnkLrDrmMbKh3iLrah3eLwqtqVFu2/m842b6LNsTjr0G3HsK1i+3vw74e/9rtAKVKg9zBuMyIi0sjNy9huLPkx/XVr16ZvGfoiHJzDZQjLn+zRGXnj2C6a/xTD2BD4NevYXs9+GfBZZC25jcPXJM7FOMa63s9/z10ADIUAD4iI7e5xY46OazkfLaazzY/xtB1Ui9gGd86O2cNyPnoznW3eRxvnWzwsCHsdMASr9OddRPxv+vNeRx21ejxy80Hq1HsI9cYR8X1sr1OT81Z3Nv/MXQAMQM33usVIQdWb2I7YvIw/u/LG2Yo6r4fPHb/ptmtL3/f3XdfdRh1deIN/7Xm+gM/5P7kLAGjddLb5GLstzq0j4pfYdlkJUw+UFkqvYvsBfJy1mN2tY3sj/LsRmcMxnW0mEfExdx1Hdhd/dt/cx58L+ffxZ6ihiw4eSe8FEX926/1P+utIf3/5mf8st8e/6xF/dspGRKyE8EDNUpj3U/w5Jrkl60ifO4R2AFAuAR7AiaUg6Y/4cojkTLMTS6PMfortTrZx3mr+y21sx0+sdNoN03S2Gcd/d+o+dObksI4/F+A/Z/WZf3Zn4wGcz6Nuvk8dEvQ9Dtg/R+gODFYaszmJP886Heer5knWsX2P/z22Z42ts1YDAOxEgAdwBilA+hh/Lsg/HJ7+i8Ww80rPxfP488P3Oa3jzw/OdzoTAACgPl3XPYxAvozt54pxlBPqPWzI+D39eSewA4A6CfAAzmQ621zFdpzjL8v5aJG3Gh6kQO/hTKIf4zhjyh5Git3FtpPpLnQoAQBA07qum8SfYd7f05+nGIO8Tv97GFX+8Pd3fd/7zAEAjRDgAcAXPDqPaBf3RmACAABfkjr3nhrmCecAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/v/24IAEAAAAQND/1+0IVAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2AlHxsDwoTtjWwAAAABJRU5ErkJggg== + mediatype: image/png + install: + spec: + clusterPermissions: + - rules: + - apiGroups: + - '*' + resources: + - '*' + verbs: + - '*' + - nonResourceURLs: + - '*' + verbs: + - '*' + serviceAccountName: kubeflow-operator + deployments: + - name: kubeflow-operator + spec: + replicas: 1 + selector: + matchLabels: + name: kubeflow-operator + strategy: {} + template: + metadata: + labels: + name: kubeflow-operator + spec: + containers: + - command: + - kfctl + env: + - name: WATCH_NAMESPACE + valueFrom: + fieldRef: + fieldPath: metadata.annotations['olm.targetNamespaces'] + - name: POD_NAME + valueFrom: + fieldRef: + fieldPath: metadata.name + - name: OPERATOR_NAME + value: kubeflow-operator + image: aipipeline/kubeflow-operator:v1.0.0 + imagePullPolicy: Always + name: kubeflow-operator + resources: {} + serviceAccountName: kubeflow-operator + strategy: deployment + installModes: + - supported: true + type: OwnNamespace + - supported: true + type: SingleNamespace + - supported: false + type: MultiNamespace + - supported: true + type: AllNamespaces + maturity: alpha + links: + - name: Kubeflow + url: https://www.kubeflow.org/ + provider: + name: IBM + maintainers: + - name: Animesh Singh + email: singhan@us.ibm.com + - name: Tommy Li + email: tommy.chaoping.li@ibm.com + - name: Weiqiang Zhuang + email: wzhuang@us.ibm.com + keywords: + - Kubeflow + - Operator + - IBMCloud + - GCP + - OpenShift + version: 1.0.0 + replaces: kubeflow.v0.1.0 + selector: + matchLabels: + component: kubeflow-operator diff --git a/deploy/olm-catalog/kubeflow/kubeflow.package.yaml b/deploy/olm-catalog/kubeflow/kubeflow.package.yaml index 81010bb9..4092a97a 100644 --- a/deploy/olm-catalog/kubeflow/kubeflow.package.yaml +++ b/deploy/olm-catalog/kubeflow/kubeflow.package.yaml @@ -1,5 +1,5 @@ channels: -- currentCSV: kubeflow.v0.1.0 +- currentCSV: kubeflow.v1.0.0 name: alpha defaultChannel: alpha packageName: kubeflow diff --git a/deploy/operator.yaml b/deploy/operator.yaml index ac49e5a5..d6a0e382 100644 --- a/deploy/operator.yaml +++ b/deploy/operator.yaml @@ -16,7 +16,7 @@ spec: containers: - name: kubeflow-operator # Replace this with the built image name - image: aipipeline/kubeflow-operator:v0.1.0 + image: aipipeline/kubeflow-operator:v1.0.0 command: - kfctl imagePullPolicy: Always