"red_haired_woman":                     "\U0001f469\u200d\U0001f9b0",
	"red_square":                           "\U0001f7e5",
	"registered":                           "\u00ae\ufe0f",
	"relaxed":                              "\u263a\ufe0f",
	"relieved":                             "\U0001f60c",
	"reminder_ribbon":                      "\U0001f397\ufe0f",
	"repeat":                               "\U0001f501",

	R_RISCV_TPREL_I       R_RISCV = 49 /* TP-relative TLS LE load */
	R_RISCV_TPREL_S       R_RISCV = 50 /* TP-relative TLS LE store */
	R_RISCV_RELAX         R_RISCV = 51 /* Instruction pair can be relaxed */
	R_RISCV_SUB6          R_RISCV = 52 /* Local label subtraction */
	R_RISCV_SET6          R_RISCV = 53 /* Local label subtraction */
	R_RISCV_SET8          R_RISCV = 54 /* Local label subtraction */

  auto producer_or = tensorflow::GetTfGraphProducerVersion(module);
  if (!producer_or.ok()) {
    // TODO(jpienaar): Keeping the existing behavior for now but this could
    // be relaxed.
    LLVM_DEBUG(llvm::dbgs()
               << "Skipping inference; " << producer_or.status().ToString());
    return true;
  }
  int64_t producer = producer_or.value();

        unchanged = false;
        auto value = while_op.getOperand(arg_no);
        ba.replaceAllUsesWith(value);
        cond_block.getArgument(arg_no).replaceAllUsesWith(value);

        // This could be relaxed and casts inserted.
        if (while_op.getResult(arg_no).getType() == value.getType())
          while_op.getResult(arg_no).replaceAllUsesWith(value);
      }
    }

  * You do not need to adjust this flag on Kubelet:  there was no authorization for the Kubelet APIs in 1.4.
* batch/v2alpha1.ScheduledJob has been renamed, use batch/v2alpha1.CronJob instead ([#36021](https://github.com/kubernetes/kubernetes/pull/36021), [@soltysh](https://github.com/soltysh))
* PetSet has been renamed to StatefulSet.
  If you have existing PetSets, **you must perform extra migration steps** both

worry, the operation succeeded except for the part where the new replication controller is renamed back to the old name. You can just do another rolling update using kubectl 1.4 or higher to change the name back: look for a replication controller that has the original name plus a random suffix.

Unfortunately, there is a much rarer second possible failure mode: the replication controller gets renamed to the old name, but there is a duplicated set of pods in the cluster. kubectl will not report...

   * ExecutionException} and {@link RuntimeException}), both immediate and delayed. We use each
   * possible pair of these futures in {@link FuturesTest#runExtensiveMergerTest}.
   *
   * <p>Each test requires a new {@link TestFutureBatch} because we need new delayed futures each
   * time, as the old delayed futures were completed as part of the old test.
   */
  @J2ktIncompatible

   * ExecutionException} and {@link RuntimeException}), both immediate and delayed. We use each
   * possible pair of these futures in {@link FuturesTest#runExtensiveMergerTest}.
   *
   * <p>Each test requires a new {@link TestFutureBatch} because we need new delayed futures each
   * time, as the old delayed futures were completed as part of the old test.
   */
  @J2ktIncompatible

		}
		defaultMeta[k] = v
	}

	// remove SSE Headers from source info
	crypto.RemoveSSEHeaders(defaultMeta)

	// Storage class is special, it can be replaced regardless of the
	// metadata directive, if set should be preserved and replaced
	// to the destination metadata.
	sc := r.Header.Get(xhttp.AmzStorageClass)
	if sc == "" {
		sc = r.Form.Get(xhttp.AmzStorageClass)
	}

    unable to identify the Shape of these args and thus the input TensorList
    shape is unidentifiable.
    All of these args are supposed to be independent and not related to original
    creation of TensorList.

    This pass will create multiple instances of TensorList for each arg of the
    while op and each use and thus there will be not a conflict in resolving the