when(backingMap.putIfAbsent(eq(KEY), isA(AtomicInteger.class))).thenReturn(existingZero);
    // since the putIfAbsent returned a zero, we'll try to replace...
    when(backingMap.replace(eq(KEY), eq(existingZero), isA(AtomicInteger.class))).thenReturn(false);
    // ...and then putIfAbsent. Simulate failure on both
    when(backingMap.putIfAbsent(eq(KEY), isA(AtomicInteger.class))).thenReturn(existing);

   * <p>Also checks delivery ordering in such cases.
   */
  public void testPolymorphicDistribution() {
    // Three catchers for related types String, Object, and Comparable<?>.
    // String isa Object
    // String isa Comparable<?>
    // Comparable<?> isa Object
    StringCatcher stringCatcher = new StringCatcher();

    List<Object> objectEvents = new ArrayList<>();
    Object objCatcher =
        new Object() {
          @Subscribe

   * <p>Also checks delivery ordering in such cases.
   */
  public void testPolymorphicDistribution() {
    // Three catchers for related types String, Object, and Comparable<?>.
    // String isa Object
    // String isa Comparable<?>
    // Comparable<?> isa Object
    StringCatcher stringCatcher = new StringCatcher();

    List<Object> objectEvents = new ArrayList<>();
    Object objCatcher =
        new Object() {
          @Subscribe

                       AbstractTensorHandle** result) {
  AbstractOperationPtr op(ctx->CreateOperation());
  TF_RETURN_IF_ERROR(op->Reset("ZerosLike", /*raw_device_name=*/nullptr));
  if (isa<tracing::TracingOperation>(op.get())) {
    TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingOperation>(op.get())->SetOpName(
        absl::StrCat("ZerosLike", ToId(t)).c_str()));
  }
  TF_RETURN_IF_ERROR(op->AddInput(t));

  // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here.
  if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
    return tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(
               unwrapped_handle)
        ->DevicePointer();
  }
  // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here.
  if (!tensorflow::TensorHandle::classof(unwrapped_handle)) {

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

#include "../../../../../runtime/textflag.h"

TEXT asmtest(SB),DUPOK|NOSPLIT,$0
start:
	//
	// Unprivileged ISA
	//

	// 2.4: Integer Computational Instructions

	ADDI	$2047, X5				// 9382f27f
	ADDI	$-2048, X5				// 93820280
	ADDI	$2048, X5				// 9382024093820240
	ADDI	$-2049, X5				// 938202c09382f2bf

路rcon+0x38(SB)/8, $0x0d0e0f0c0d0e0f0c // MASK DATA 路rcon+0x40(SB)/8, $0x0000000000000000 DATA 路rcon+0x48(SB)/8, $0x0000000000000000 GLOBL 路rcon(SB), RODATA, $80 // The following macros provide appropriate // implementations for endianness as well as // ISA specific for power8 and power9. #ifdef GOARCH_ppc64le # ifdef GOPPC64_power9 #define P8_LXVB16X(RA,RB,VT) LXVB16X (RA)(RB), VT #define P8_STXVB16X(VS,RA,RB) STXVB16X VS, (RA)(RB) # else #define NEEDS_ESPERM #define P8_LXVB16X(RA,RB,VT) \ LXVD2X (RA+RB),...