// lots of varint sizes.
	//
	// Add 1 because we might also write a traceAllocFreeTypesBatch byte.
	var flushed bool
	w, flushed = w.ensure(1 + maxBytes)
	if flushed {
		// Annotate the batch as containing types.
		w.byte(byte(traceAllocFreeTypesBatch))
	}

	// Emit type.
	w.varint(uint64(node.id))
	w.varint(uint64(uintptr(unsafe.Pointer(typ))))
	w.varint(uint64(typ.Size()))

push-manifest: SHELL:=/bin/bash
push-manifest:
	docker manifest create --amend $(IMAGE):$(TAG) $(shell echo $(ALL_OS_ARCH) | sed -e "s~[^ ]*~$(IMAGE):$(TAG)\-&~g")
	set -x; for arch in $(ALL_ARCH.linux); do docker manifest annotate --os linux --arch $${arch} ${IMAGE}:${TAG} ${IMAGE}:${TAG}-linux-$${arch}; done
	# For Windows images, we also need to include the "os.version" in the manifest list, so the Windows node can pull the proper image it needs.

         */
        DO_NOT_SKIP,

        /**
         * Use this reason on unrolled tests in super classes that fail on some subclasses.
         * Spock doesn't allow to override test methods and annotate them.
         */
        UNROLLED_FAILS_IN_SUBCLASS,

        /**
         * Use this reason on tests that fail <code>:verifyTestFilesCleanup</code> with configuration cache.
         */
        FAILS_TO_CLEANUP,

```console
KINDS=(service deployment)
RELEASE=istio-ingressgateway
NAMESPACE=istio-system
for KIND in "${KINDS[@]}"; do
    kubectl --namespace $NAMESPACE --overwrite=true annotate $KIND $RELEASE meta.helm.sh/release-name=$RELEASE
    kubectl --namespace $NAMESPACE --overwrite=true annotate $KIND $RELEASE meta.helm.sh/release-namespace=$NAMESPACE
    kubectl --namespace $NAMESPACE --overwrite=true label $KIND $RELEASE app.kubernetes.io/managed-by=Helm
done

 * a little different from those of other Collection-related features such as {@link
 * CollectionFeature} or {@link SetFeature}.
 *
 * <p>However, when {@link CollectionSize.Require} is used to annotate a test it behaves normally
 * (i.e. it requires the collection instance under test to be a certain size for the test to run).
 * Note that this means a test should not require more than one CollectionSize, since a particular

 * a little different from those of other Collection-related features such as {@link
 * CollectionFeature} or {@link SetFeature}.
 *
 * <p>However, when {@link CollectionSize.Require} is used to annotate a test it behaves normally
 * (i.e. it requires the collection instance under test to be a certain size for the test to run).
 * Note that this means a test should not require more than one CollectionSize, since a particular

 */
@Deprecated
@DisableCachingByDefault(because = "Abstract super-class, not to be instantiated directly")
public abstract class AbstractReportTask extends ConventionTask {
    private File outputFile;

    // todo annotate as required
    private Set<Project> projects;

    protected AbstractReportTask() {
        getOutputs().upToDateWhen(element -> false);
        projects = new HashSet<>();
        projects.add(getProject());
    }

👆 💪 🌀 `dataclasses` ⏮️ 🎏 🆎 ✍ ⚒ 🐦 📊 📊.

💼, 👆 💪 ✔️ ⚙️ Pydantic ⏬ `dataclasses`. 🖼, 🚥 👆 ✔️ ❌ ⏮️ 🔁 🏗 🛠️ 🧾.

👈 💼, 👆 💪 🎯 💱 🐩 `dataclasses` ⏮️ `pydantic.dataclasses`, ❔ 💧-♻:

```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
{!../../../docs_src/dataclasses/tutorial003.py!}
```

1️⃣. 👥 🗄 `field` ⚪️➡️ 🐩 `dataclasses`.

2️⃣. `pydantic.dataclasses` 💧-♻ `dataclasses`.

## 在嵌套数据结构中使用数据类

您还可以把 `dataclasses` 与其它类型注解组合在一起，创建嵌套数据结构。

还有一些情况也可以使用 Pydantic 的 `dataclasses`。例如，在 API 文档中显示错误。

本例把标准的 `dataclasses` 直接替换为 `pydantic.dataclasses`：

```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
{!../../../docs_src/dataclasses/tutorial003.py!}
```

1. 本例依然要从标准的 `dataclasses` 中导入 `field`；

2. 使用 `pydantic.dataclasses` 直接替换 `dataclasses`；

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/attribute_utils.h"
#include "xla/mlir_hlo/mhlo/IR/hlo_ops.h"

#define DEBUG_TYPE "tf-tpu-annotate-dynamic-shape-inputs"

namespace mlir {
namespace TFTPU {

namespace {

#define GEN_PASS_DEF_TPUANNOTATEDYNAMICSHAPEINPUTSPASS
#include "tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.h.inc"