* the map are reflected in the multimap, and vice versa. If the map is modified while an
   * iteration over one of the multimap's collection views is in progress (except through the
   * iterator's own {@code remove} operation, or through the {@code setValue} operation on a map
   * entry returned by the iterator), the results of the iteration are undefined.
   *

		return !strings.ContainsAny(volname, `\:*?\"<>|`)
	}

	return true
}

// xlStorage - implements StorageAPI interface.
type xlStorage struct {
	// Indicate of NSScanner is in progress in this disk
	scanning int32

	drivePath string
	endpoint  Endpoint

	globalSync bool
	oDirect    bool // indicates if this disk supports ODirect

	diskID string

	formatFileInfo  os.FileInfo

  fun readAndWriteOverlapsMaintainConsistency(parameters: Pair<FileSystem, Boolean>) {
    setUp(parameters.first, parameters.second)
    Assumptions.assumeFalse(windows) // Can't edit while a read is in progress.

    val v1Creator = cache.edit("k1")!!
    v1Creator.setString(0, "AAaa")
    v1Creator.setString(1, "BBbb")
    v1Creator.commit()

    cache["k1"]!!.use { snapshot1 ->

* Setting TLS1.2 minimum because TLS1.0 and TLS1.1 are vulnerable ([#26169](https://github.com/kubernetes/kubernetes/pull/26169), [@victorgp](https://github.com/victorgp))
* Kubelet: Periodically reporting image pulling progress in log ([#26145](https://github.com/kubernetes/kubernetes/pull/26145), [@Random-Liu](https://github.com/Random-Liu))

	}
	return string(stdout), string(stderr)
}

// A typeConv is a translator from dwarf types to Go types
// with equivalent memory layout.
type typeConv struct {
	// Cache of already-translated or in-progress types.
	m map[string]*Type

	// Map from types to incomplete pointers to those types.
	ptrs map[string][]*Type
	// Keys of ptrs in insertion order (deterministic worklist)

            if (logger.isDebugEnabled()) {
                logger.debug("Failed to process a scroll request.", e);
            }
            writeJsonResponse(HttpServletResponse.SC_BAD_REQUEST, e);
        } catch (final Exception e) {
            if (logger.isDebugEnabled()) {
                logger.debug("Failed to process a scroll request.", e);
            }

					"kotlin-dsl-integ-tests",
					"snapshots",
					"platform-jvm",
					"build-cache-spi",
					"internal-integ-testing",
					"jvm-services",
					"publish",
					"problems-api",
					"process-services",
					"build-configuration",
					"base-services"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"scala",

          },
          "exemplar": true,
          "expr": "time() - max(minio_node_process_starttime_seconds{job=~\"$scrape_jobs\"})",
          "format": "time_series",
          "instant": true,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "{{instance}}",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],

                "type": "prometheus",
                "uid": "${datasource}"
              },
              "expr": "irate(process_cpu_seconds_total{app=\"istiod\"}[1m])",
              "format": "time_series",
              "hide": false,
              "intervalFactor": 2,
              "legendFormat": "Discovery (process)",
              "refId": "C",
              "step": 2
            },
            {
              "datasource": {

// named job. The server can communicate with any other server in the same
// cluster.

// In-process TensorFlow server.
typedef struct TF_Server TF_Server;

// Creates a new in-process TensorFlow server configured using a serialized
// ServerDef protocol buffer provided via `proto` and `proto_len`.
//