}()
	<-ch
}

// blockMutexDeep produces a block profile event at stack depth n, including the
// caller.
func blockMutexDeep(t *testing.T, n int) {
	if n > 1 {
		blockMutexDeep(t, n-1)
		return
	}
	var mu sync.Mutex
	go func() {
		mu.Lock()
		mu.Lock()
	}()
	awaitBlockedGoroutine(t, "sync.Mutex.Lock", "blockMutexDeep", 1)
	mu.Unlock()
}

    // Create a return op for host computation block
    builder.setInsertionPointToEnd(&host_computation_block);
    builder.create<mlir::tf_device::ReturnOp>(device_cluster.getLoc(),
                                              host_launch_op->getResults());
  }

  // Move the launch body to last parallel_execute block.
  Block& parallel_execute_device_block =

}

// Block volume support
func (fv *FakeVolume) UnmapPodDevice() error {
	fv.Lock()
	defer fv.Unlock()
	fv.UnmapPodDeviceCallCount++
	return nil
}

// Block volume support
func (fv *FakeVolume) GetUnmapPodDeviceCallCount() int {
	fv.RLock()
	defer fv.RUnlock()
	return fv.UnmapPodDeviceCallCount
}

// Block volume support
func (fv *FakeVolume) MapPodDevice() (string, error) {
	fv.Lock()

			if jmp.invasmun {
				// TODO: The second branch is probably predict-not-taken since it is for FP unordered
				s.Br(ppc64.ABVS, b.Succs[1].Block())
			}
		case b.Succs[1].Block():
			s.Br(jmp.asm, b.Succs[0].Block())
			if jmp.asmeq {
				s.Br(ppc64.ABEQ, b.Succs[0].Block())
			}
		default:
			if b.Likely != ssa.BranchUnlikely {
				s.Br(jmp.asm, b.Succs[0].Block())
				if jmp.asmeq {

    auto inputs = branch_func.getFunctionType().getInputs();
    Block *block = rewriter->createBlock(
        &branch_func.getBody(), branch_func.begin(), inputs,
        SmallVector<Location>(inputs.size(), branch_func.getLoc()));

    auto input_shape = block->getArgument(1);
    auto size_diff = block->getArgument(2);
    auto input = block->getArgument(0);

    Location loc = resize_op.getLoc();

(BR(W|H) x:(MOV(W|H)Zload [off] {sym} ptr mem)) && x.Uses == 1 => @x.Block (MOV(W|H)BRload (MOVDaddr <ptr.Type> [off] {sym} ptr) mem)
(BR(W|H) x:(MOV(W|H)Zloadidx ptr idx      mem)) && x.Uses == 1 => @x.Block (MOV(W|H)BRloadidx ptr idx mem)
(BRD x:(MOVDload [off] {sym} ptr mem)) && x.Uses == 1 => @x.Block (MOVDBRload (MOVDaddr <ptr.Type> [off] {sym} ptr) mem)
(BRD x:(MOVDloadidx ptr idx      mem)) && x.Uses == 1 => @x.Block (MOVDBRloadidx ptr idx mem)

==== Accessing `libraries` or `bundles` from dependency version catalogs in the `plugins {}` block of a Kotlin script

Accessing `libraries` or `bundles` from dependency version catalogs in the `plugins {}` block of a Kotlin script is deprecated.
Please only use `versions` or `plugins` from dependency version catalogs in the `plugins {}` block.

[[validate_plugins_without_java_toolchain]]

	// similar to POODLE in SSL 3.0: given a good ciphertext that uses a
	// full block's worth of padding, replace the final block with another
	// block. If the MAC check passed but the padding check failed, the
	// last byte of that block decrypted to the block size.
	//
	// See also macAndPaddingGood logic below.
	paddingLen &= good

	toRemove = int(paddingLen) + 1
	return
}

 * <<#rel5.0:pom_compile_runtime_separation,Separation of compile and runtime dependencies when consuming POMs>>
 * The evaluation of the `publishing {}` block is no longer deferred until needed but behaves like any other block.
   Please use `afterEvaluate {}` if you need to defer evaluation.

module {
func.func @simpleWhile(%arg0: tensor<i32>) -> tensor<i32> {
  %0 = "tfl.while"(%arg0) ({
  ^bb0(%block: tensor<i32>):
    "tfl.yield"(%block) : (tensor<i32>) -> ()
  },{
  ^bb0(%block: tensor<i32>):
    "tfl.yield"(%block) : (tensor<i32>) -> ()
  }) {tac.device = "CPU", fused_activation_function = "RELU6", tac.inference_type = "FLOAT"} : (tensor<i32>) -> tensor<i32>