c.getNameServiceClient().getAllByName(getRequiredProperty("test.server.netbios"), true);
    }


    @Parameters ( name = "{0}" )
    public static Collection<Object> configs () {
        return getConfigs("smb1", "noUnicode", "forceUnicode", "noUnicode-cp850", "noUnicode-windows-1252", "smb2", "smb30", "smb31");
    }


    @Test

     */
    public RandomAccessFileTest ( String name, Map<String, String> properties ) {
        super(name, properties);
    }


    @Parameters ( name = "{0}" )
    public static Collection<Object> configs () {
        return getConfigs("smb1", "noUnicode", "forceUnicode", "noNTStatus", "noNTSmbs", "smb2", "smb30", "smb31");
    }


    @Test
    public void testReadOnly () throws IOException {

     * @param properties
     */
    public DfsTest ( String name, Map<String, String> properties ) {
        super(name, properties);
    }


    @Parameters ( name = "{0}" )
    public static Collection<Object> configs () {
        return getConfigs("smb1", "smb2", "smb30", "smb31");
    }


    private String getTestDfsTargetServer () {
        String dfsTargetServer = getProperties().get("test.server.dfs");

{
  "configs": [
    {
      "@type": "type.googleapis.com/envoy.admin.v3.ClustersConfigDump",
      "version_info": "2024-03-04T08:37:44Z/4",
      "dynamic_active_clusters": [
        {
          "cluster": {
            "@type": "type.googleapis.com/envoy.config.cluster.v3.Cluster",
            "name": "inbound-vip|9999|http|ratings.default.svc.cluster.local",
            "type": "EDS",
            "transport_socket": {

  print('Preconfigured Bazel build configs. You can use any of the below by '
        'adding "--config=<>" to your build command. See .bazelrc for more '
        'details.')
  config_info_line('mkl', 'Build with MKL support.')
  config_info_line(
      'mkl_aarch64',
      'Build with oneDNN and Compute Library for the Arm Architecture (ACL).')
  config_info_line('monolithic', 'Config for mostly static monolithic build.')

## Antigo `GraphQLApp` do Starlette

Versões anteriores do Starlette incluiam uma classe `GraphQLApp` para integrar com <a href="https://graphene-python.org/" class="external-link" target="_blank">Graphene</a>.

	"istio.io/istio/istioctl/pkg/clioptions"
	"istio.io/istio/istioctl/pkg/describe"
	"istio.io/istio/istioctl/pkg/util/ambient"
	"istio.io/istio/pkg/config/analysis/analyzers/injection"
	analyzer_util "istio.io/istio/pkg/config/analysis/analyzers/util"
	"istio.io/istio/pkg/config/resource"
	"istio.io/istio/pkg/kube"
	"istio.io/istio/pkg/kube/inject"
	"istio.io/istio/pkg/slices"
	"istio.io/istio/pkg/util/sets"
)

import common.uuidPrefix
import jetbrains.buildServer.configs.kotlin.Dependencies
import jetbrains.buildServer.configs.kotlin.DslContext
import jetbrains.buildServer.configs.kotlin.FailureAction
import jetbrains.buildServer.configs.kotlin.RelativeId
import jetbrains.buildServer.configs.kotlin.SnapshotDependency
import jetbrains.buildServer.configs.kotlin.triggers.ScheduleTrigger
import jetbrains.buildServer.configs.kotlin.triggers.VcsTrigger

    ],
)

# Config setting that is satisfied when TensorFlow is being built with CUDA
# support through e.g. `--config=cuda` (or `--config=cuda_clang` in OSS).
alias(
    name = "is_cuda_enabled",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_enabled",
        "@local_config_cuda//cuda:using_config_cuda",
    ),
)

Este modo terá **recarregamento automático desativado** por padrão.

Isso irá escutar no endereço de IP `0.0.0.0`, o que significa todos os endereços IP disponíveis, dessa forma o programa estará acessível publicamente para qualquer um que consiga se comunicar com a máquina. Isso é como você normalmente roda em produção em um contêiner, por exemplo.