memUsedPerc:       "Used memory percentage on the node",
		memFree:           "Free memory on the node",
		memShared:         "Shared memory on the node",
		memBuffers:        "Buffers memory on the node",
		memCache:          "Cache memory on the node",
		memAvailable:      "Available memory on the node",
		readsPerSec:       "Reads per second on a drive",

//     in `input_shapes`.
//
// The results are returned in `output_shapes` and
// `output_resource_shapes_and_types`. The caller is responsible for freeing the
// memory in these buffers by calling `TF_DeleteShapeAndTypeList`.
TF_CAPI_EXPORT extern void TFE_InferShapes(
    TFE_Op* op, TF_ShapeAndTypeList* input_shapes, TF_Tensor** input_tensors,
    TF_ShapeAndTypeList* input_tensor_as_shapes,

      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their

# limitations under the License.
# ==============================================================================
#
# macOS specific setup for all TF scripts.
#

# Mac version of Core utilities differ in usage. Since our scripts are written
# with the GNU style, we need to set GNU utilities to be default on Mac.
if [[ -n "$(which grealpath)" ]] &&  [[ -n "$(which gstat)" ]]; then
  alias realpath=grealpath
  alias stat=gstat

      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their

	}
	return res
}

// metaCacheEntriesSorted contains metacache entries that are sorted.
type metaCacheEntriesSorted struct {
	o metaCacheEntries
	// list id is not serialized
	listID string
	// Reuse buffers
	reuse bool
	// Contain the last skipped object after an ILM expiry evaluation
	lastSkippedEntry string
}

// shallowClone will create a shallow clone of the array objects,

| `minio_system_memory_total`      | Total memory on the node. <br><br>Type: gauge           | `server` |
| `minio_system_memory_buffers`    | Buffers memory on the node. <br><br>Type: gauge         | `server` |
| `minio_system_memory_cache`      | Cache memory on the node. <br><br>Type: gauge           | `server` |

# CL 134210043 archive/zip: add Writer.Flush, Brad Fitzpatrick <******@****.***>
pkg archive/zip, method (*Writer) Flush() error

# CL 97140043 compress/flate: add Reset() to allow reusing large buffers to compress multiple buffers, James Robinson <******@****.***>
pkg compress/flate, type Resetter interface { Reset }
pkg compress/flate, type Resetter interface, Reset(io.Reader, []uint8) error
pkg compress/zlib, type Resetter interface { Reset }

			return convertAccessError(err, errVolumeAccessDenied)
		}
	}

	// Use a small block size to start sending quickly
	w := newMetacacheWriter(wr, 16<<10)
	w.reuseBlocks = true // We are not sharing results, so reuse buffers.
	defer w.Close()
	out, err := w.stream()
	if err != nil {
		return err
	}
	defer xioutil.SafeClose(out)
	var objsReturned int

	objReturned := func(metadata []byte) {
		if opts.Limit <= 0 {

	// setCount * setDriveCount with each memory upto blockSizeV2.
	buffers := bpool.NewBytePoolCap(n, blockSizeV2, blockSizeV2*2)
	if n >= 16384 {
		// pre-populate buffers only n >= 16384 which is (32Gi/2Mi)
		// for all setups smaller than this avoid pre-alloc.
		buffers.Populate()
	}
	globalBytePoolCap.Store(buffers)

	var localDrives []StorageAPI
	local := endpointServerPools.FirstLocal()