ValueReference<K, V> valueReference = null;
      LoadingValueReference<K, V> loadingValueReference = null;
      boolean createNewEntry = true;

      lock();
      try {
        // re-read ticker once inside the lock
        long now = map.ticker.read();
        preWriteCleanup(now);

        int newCount = this.count - 1;
        AtomicReferenceArray<ReferenceEntry<K, V>> table = this.table;

	DecommissionedBuckets []string `json:"-" msg:"dbkts"`

	// Last bucket/object decommissioned.
	Bucket string `json:"-" msg:"bkt"`
	// Captures prefix that is currently being
	// decommissioned inside the 'Bucket'
	Prefix string `json:"-" msg:"pfx"`
	Object string `json:"-" msg:"obj"`

	// Verbose information
	ItemsDecommissioned     int64 `json:"objectsDecommissioned" msg:"id"`

					const sseDAREEncPackageBlockSize = SSEDAREPackageBlockSize + SSEDAREPackageMetaSize
					// Number of full blocks in skipped area
					seqNum = uint32(compOff / SSEDAREPackageBlockSize)
					// Skip this many inside a decrypted block to get to compression block start
					decryptSkip = compOff % SSEDAREPackageBlockSize
					// Skip this number of full blocks.
					skipEnc := compOff / SSEDAREPackageBlockSize

			ChangeTime: time.Unix(1389782956, 794414986),
			Xattrs: map[string]string{
				"user.key":  "value",
				"user.key2": "value2",
				// Interestingly, selinux encodes the terminating null inside the xattr
				"security.selinux": "unconfined_u:object_r:default_t:s0\x00",
			},
			PAXRecords: map[string]string{
				"mtime":                         "1386065770.44825232",

# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current
# major release. Example: sm_80 kernels can run on sm_89 GPUs but
# not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.

$(button).toggleClass(CLASS_NAME_FOCUS, /^focus(in)?$/.test(event.type))\n  })\n\n$(window).on(EVENT_LOAD_DATA_API, () => {\n  // ensure correct active class is set to match the controls' actual values/states\n\n  // find all checkboxes/readio buttons inside data-toggle groups\n  let buttons = [].slice.call(document.querySelectorAll(SELECTOR_DATA_TOGGLES_BUTTONS))\n  for (let i = 0, len = buttons.length; i < len; i++) {\n    const button = buttons[i]\n    const input = button.querySelector(SELECTOR_INPUT)\n...

interacting with the system. Note: the GUI is enabled by default in 1.2 clusters.

<img src="docs/images/newgui.png" width="" alt="Dashboard UI screenshot showing cards that represent applications that run inside a cluster" title="Dashboard UI apps screen">

### Other notable improvements

  * Job was Beta in 1.1 and is GA in 1.2 .

	for i := 0; i < len(chars); i++ {
		c := chars[i]
		if c >= utf8.RuneSelf {
			return as, false
		}
		as[c/32] |= 1 << (c % 32)
	}
	return as, true
}

// contains reports whether c is inside the set.
func (as *asciiSet) contains(c byte) bool {
	return (as[c/32] & (1 << (c % 32))) != 0
}

// containsRune is a simplified version of strings.ContainsRune
// to avoid importing the strings package.

// - `inputs` and `outputs` cannot have reference types. Reference types are
//   not exposed through C API and are being replaced with Resources. We support
//   reference types inside function's body to support legacy code. Do not
//   use them in new code.
// - Every node in the function's body must have all of its inputs (including

    TF_OperationDescription* desc =
        TF_NewOperation(host_graph_, func_name_, func_node_name_);
    for (auto input : inputs) {
      TF_AddInput(desc, input);
    }
    // Set device to CPU because some ops inside the function might not be
    // available on GPU.
    TF_SetDevice(desc, "/cpu:0");
    *op = TF_FinishOperation(desc, s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
    ASSERT_NE(*op, nullptr);
  }