tensorflow::strings::StrCat("/job:", job_name, "/replica:0/task:", 0));
  auto* rewrite_options =
      config->mutable_graph_options()->mutable_rewrite_options();
  rewrite_options->set_scoped_allocator_optimization(
      tensorflow::RewriterConfig::ON);
  rewrite_options->mutable_scoped_allocator_opts()->add_enable_op(
      "CollectiveReduce");

          "unit": "short"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 8,
        "w": 12,
        "x": 0,
        "y": 1
      },
      "id": 2,
      "options": {
        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {
          "mode": "multi",

		ctxt.CertsDir = cf.CertsDir
		ctxt.certsDirSet = true
	}

	if cf.Options.FTP.Address != "" {
		ctxt.FTP = append(ctxt.FTP, fmt.Sprintf("address=%s", cf.Options.FTP.Address))
	}
	if cf.Options.FTP.PassivePortRange != "" {
		ctxt.FTP = append(ctxt.FTP, fmt.Sprintf("passive-port-range=%s", cf.Options.FTP.PassivePortRange))
	}

	if cf.Options.SFTP.Address != "" {

        add(ia.next())
      }
      if (ib.hasNext()) {
        add(ib.next())
      }
    }
  }
}

// TODO check read only options for creating lists
public fun <T> List<T>.readOnly() = this.toList()

// TODO check read only options for creating lists

// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source.  Only one "target" type
// should be set.
message ContainerResourceMetricSource {
  // name is the name of the resource in question.

void TFE_ContextOptionsSetConfig(TFE_ContextOptions* options, const void* proto,
                                 size_t proto_len, TF_Status* status) {
  TF_SetConfig(&options->session_options, proto, proto_len, status);
}

void TFE_ContextOptionsSetAsync(TFE_ContextOptions* options,
                                unsigned char enable) {
  options->async = enable;
}

void TFE_ContextOptionsSetDevicePlacementPolicy(

```

Description of the configuration parameters used above -

- `policies[].name` - name of the policy to create, must be a string with length > 0
- `policies[].statements[]` - list of statements, includes actions and resources

	}

	dm := NewDRWMutex(ds, "aap")
	dm.refreshInterval = testDrwMutexRefreshInterval

	ctx, cancel := context.WithCancel(context.Background())

	if !dm.GetLock(ctx, cancel, id, source, Options{Timeout: 5 * time.Minute}) {
		t.Fatal("GetLock() should be successful")
	}

	// Make it run twice.
	timer := time.NewTimer(testDrwMutexRefreshInterval * 2)

	select {
	case <-ctx.Done():

// each of the pods of the current scale target(e.g. CPU or memory). The values will be
// averaged together before being compared to the target. Such metrics are built into
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source. Only one "target" type
// should be set.
message ContainerResourceMetricSource {
  // name is the name of the resource in question.

#       resources:
#         - 'arn:aws:s3:::example*/*'
#       actions:
#         - "s3:AbortMultipartUpload"
#         - "s3:GetObject"
#         - "s3:DeleteObject"
#         - "s3:PutObject"
#         - "s3:ListMultipartUploadParts"
#     - resources:
#         - 'arn:aws:s3:::example*'
#       actions:
#         - "s3:CreateBucket"
#         - "s3:DeleteBucket"