pip install twine==3.6.0
fi

# Scheduled nightly and release builds upload build artifacts (Pip packages,
# Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as
# a service account that has the right permissions to be able to do so.
set +x
if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then
  # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set

        }
        catch ( CIFSException ex ) {
            throw new ServletException("Failed to initialize config", ex);
        }
    }


    @Override
    protected void service ( HttpServletRequest request, HttpServletResponse response ) throws ServletException, IOException {
        Address dc;
        boolean offerBasic = this.enableBasic && ( this.insecureBasic || request.isSecure() );

tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

Since any tenants or users providing models, graphs or checkpoints can execute
code in context of the TensorFlow service, it is important to design isolation
mechanisms that prevent unwanted access to the data from other tenants.

Network isolation between different models is also important not only to prevent

MC_CONFIG_DIR="{{ .Values.configPathmc }}"
MC="/usr/bin/mc --insecure --config-dir ${MC_CONFIG_DIR}"
{{- else }}
MC="/usr/bin/mc --insecure"
{{- end }}

# connectToMinio
# Use a check-sleep-check loop to wait for MinIO service to be available
connectToMinio() {
	SCHEME=$1
	ATTEMPTS=0
	LIMIT=29 # Allow 30 attempts
	set -e   # fail if we can't read the keys.
	ACCESS=$(cat /config/rootUser)
	SECRET=$(cat /config/rootPassword)

			} else {
				assert.NoError(t, err)
			}
		})
	}
}

func Test_checkTracing(t *testing.T) {
	cli := kube.NewFakeClient()
	messages := diag.Messages{}

	zipkinSvc := &corev1.Service{
		ObjectMeta: metav1.ObjectMeta{
			Name:      "zipkin",
			Namespace: "istio-system",
		},
	}
	cli.Kube().CoreV1().Services("istio-system").Create(context.Background(), zipkinSvc, metav1.CreateOptions{})

package configdump

import (
	"cmp"
	"encoding/json"
	"fmt"
	"strings"

	"sigs.k8s.io/yaml"

	"istio.io/istio/pkg/slices"
)

// ServiceFilter is used to pass filter information into service based config writer print functions
type ServiceFilter struct {
	Namespace string
}

// Verify returns true if the passed workload matches the filter fields
func (wf *ServiceFilter) Verify(svc *ZtunnelService) bool {

				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"testing-jvm",
					"security",
					"input-tracking",
					"service-registry-impl",
					"configuration-cache-base",
					"base-ide-plugins",
					"files",
					"stdlib-java-extensions",
					"gradle-cli",
					"build-cache-packaging",
					"build-operations"
				]
			},

   * configuring a {@code CacheBuilder} and building your {@link Cache} all in a single statement.
   *
   * <p><b>Warning:</b> if you ignore the above advice, and use this {@code CacheBuilder} to build a
   * cache whose key or value type is incompatible with the weigher, you will likely experience a
   * {@link ClassCastException} at some <i>undefined</i> point in the future.
   *

			Optional:    true,
			Type:        "string",
			Sensitive:   true,
			Secret:      true,
		},
		config.HelpKV{
			Key:         EnableHTTP2,
			Description: "Enable experimental HTTP2 support to connect to plugin service" + defaultHelpPostfix(EnableHTTP2),
			Optional:    true,
			Type:        "bool",
		},
		config.HelpKV{
			Key:         config.Comment,
			Description: config.DefaultComment,
			Optional:    true,

import org.apache.maven.api.ProducedArtifact;
import org.apache.maven.api.Project;
import org.apache.maven.api.ProjectScope;
import org.apache.maven.api.RemoteRepository;
import org.apache.maven.api.Service;
import org.apache.maven.api.Session;
import org.apache.maven.api.annotations.Experimental;
import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.annotations.Nullable;