func (z *erasureServerPools) poolsWithObject(pools []PoolObjInfo, opts ObjectOptions) (errs []poolErrs) {
	for _, pool := range pools {
		if opts.SkipDecommissioned && z.IsSuspended(pool.Index) {
			continue
		}
		// Skip object if it's from pools participating in a rebalance operation.
		if opts.SkipRebalancing && z.IsPoolRebalancing(pool.Index) {
			continue
		}
		if isErrReadQuorum(pool.Err) || pool.Err == nil {

	objAPI := newObjectLayerFn()
	if objAPI == nil {
		return np, grid.NewRemoteErr(errServerNotInitialized)
	}

	pools, ok := objAPI.(*erasureServerPools)
	if !ok {
		return
	}

	if err := pools.ReloadPoolMeta(context.Background()); err != nil {
		return np, grid.NewRemoteErr(err)
	}

	return
}

 *  **There is no longer a global singleton connection pool.** In OkHttp 2.x,
    all `OkHttpClient` instances shared a common connection pool by default.
    In OkHttp 3.x, each new `OkHttpClient` gets its own private connection pool.
    Applications should avoid creating many connection pools as doing so
    prevents connection reuse. Each connection pool holds its own set of

 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java
 * // The singleton HTTP client.

	if err != nil {
		removeRoots(fsDirs)
		return nil, nil, err
	}

	// Wait up to 10 seconds for disks to come online.
	pools := obj.(*erasureServerPools)
	t := time.Now()
	for _, pool := range pools.serverPools {
		for _, sets := range pool.erasureDisks {
			for _, s := range sets {
				if !s.IsLocal() {
					for !s.IsOnline() {
						time.Sleep(100 * time.Millisecond)

build:win_clang --extra_execution_platforms=//tensorflow/tools/toolchains/win:x64_windows-clang-cl
build:win_clang --host_platform=//tensorflow/tools/toolchains/win:x64_windows-clang-cl

build:windows_x86_cpu_2022 --config=win_clang_base
build:windows_x86_cpu_2022 --crosstool_top="//tensorflow/tools/toolchains/win2022/20241118:toolchain"
build:windows_x86_cpu_2022 --extra_toolchains="//tensorflow/tools/toolchains/win2022/20241118:cc-toolchain-x64_windows-clang-cl"

golang.org/x/tools v0.0.0-20200619180055-7c47624df98f/go.mod h1:EkVYQZoAsY45+roYkvgYkIh4xh/qjgUK9TdY2XT94GE=
golang.org/x/tools v0.0.0-20210106214847-113979e3529a/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA=
golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc=
golang.org/x/tools v0.6.0/go.mod h1:Xwgl3UAJ/d3gWutnCtw505GrjyAbvKui8lOU390QaIU=

          "expr": "minio_cluster_health_status{job=~\"$scrape_jobs\"}",
          "fullMetaSearch": false,
          "includeNullMetadata": true,
          "interval": "",
          "legendFormat": "Pool: {{pool}} Set: {{set}}",
          "range": true,
          "refId": "A",
          "useBackend": false
        }
      ],
      "title": "Cluster Health Status",
      "type": "stat"
    },
    {

load(
    "//tensorflow/python/tools/api/generator:api_gen.bzl",
    "get_compat_files",
    "get_nested_compat_files",
)
load(
    "//tensorflow/python/tools/api/generator:api_init_files.bzl",
    "TENSORFLOW_API_INIT_FILES",
)
load(
    "//tensorflow/python/tools/api/generator:api_init_files_v1.bzl",
    "TENSORFLOW_API_INIT_FILES_V1",
)
load("//tensorflow/python/tools/api/generator2:generate_api.bzl", "generate_apis")

			VersionID: versionID,
			// Since we are preserving a delete marker, we have to make sure this is always true.
			// regardless of the current configuration of the bucket we must preserve all versions
			// on the pool being batch replicated from source.
			Versioned:          true,
			MTime:              srcObjInfo.ModTime,
			DeleteMarker:       srcObjInfo.DeleteMarker,
			ReplicationRequest: true,
		})
		return err
	}