// VolumesInUse in the node's volume status, do not proceed, return
			// error. Caller will log and retry. The node status is updated
			// periodically by kubelet, so it may take as much as 10 seconds
			// before this clears.
			// Issue #28141 to enable on demand status updates.
			eventErr, detailedErr := volumeToMount.GenerateError("Volume has not been added to the list of VolumesInUse in the node's volume status", nil)

		cur, err = dsc.dedupCurHistories(ctx, ds, currentHistories)
		if err != nil {
			return nil, nil, err
		}
		// Update revision number if necessary
		if cur.Revision < currRevision {
			toUpdate := cur.DeepCopy()
			toUpdate.Revision = currRevision
			_, err = dsc.kubeClient.AppsV1().ControllerRevisions(ds.Namespace).Update(ctx, toUpdate, metav1.UpdateOptions{})
			if err != nil {
				return nil, nil, err
			}
		}
	}

# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl
# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest

				updateCh <- &model.PushRequest{Full: true}
				updateCh <- &model.PushRequest{Full: true}
				expect(0, 1)
			},
		},
		{
			name: "Should send full updates in batches, partial updates immediately",
			test: func(updateCh chan *model.PushRequest, expect func(partial, full int32)) {
				updateCh <- &model.PushRequest{Full: true}
				updateCh <- &model.PushRequest{Full: true}

これを使うことで、デフォルト値を省略して、設定された（リクエストで送られた）データのみを含む`dict`を生成することができます:

```Python hl_lines="34"
{!../../../docs_src/body_updates/tutorial002.py!}
```

### Pydanticの`update`パラメータ

ここで、`.copy()`を用いて既存のモデルのコピーを作成し、`update`パラメータに更新するデータを含む`dict`を渡すことができます。

`stored_item_model.copy(update=update_data)`のように:

```Python hl_lines="35"
{!../../../docs_src/body_updates/tutorial002.py!}
```

### 部分的更新のまとめ

まとめると、部分的な更新を適用するには、次のようにします:

            def theArchive2 = rootProject.file('test2.tar')

            tasks.register('update1', UpdateTask) {
                archive = theArchive1
                replacementText = 'modification 1'
            }

            tasks.register('verify1', VerifyTask) {
                dependsOn tasks.named('update1')
                archive = theArchive1
                beginsWith = 'modification 1'
            }

	// Check if we are in DCOS environment, return
	// deployment guide for update procedures.
	if IsDCOS() {
		return mesosDeploymentDoc
	}

	// Check if we are in kubernetes environment, return
	// deployment guide for update procedures.
	if IsKubernetes() {
		return kubernetesDeploymentDoc
	}

	// Check if we are docker environment, return docker update command
	if IsDocker() {
		// Construct release tag name.

=== "🐍 3️⃣.1️⃣0️⃣ & 🔛"

    ```Python hl_lines="32"
    {!> ../../../docs_src/body_updates/tutorial002_py310.py!}
    ```

### ⚙️ Pydantic `update` 🔢

🔜, 👆 💪 ✍ 📁 ♻ 🏷 ⚙️ `.copy()`, & 🚶‍♀️ `update` 🔢 ⏮️ `dict` ⚗ 💽 ℹ.

💖 `stored_item_model.copy(update=update_data)`:

=== "🐍 3️⃣.6️⃣ & 🔛"

    ```Python hl_lines="35"
    {!> ../../../docs_src/body_updates/tutorial002.py!}
    ```

然后再用它生成一个只含已设置（在请求中所发送）数据，且省略了默认值的 `dict`：

```Python hl_lines="34"
{!../../../docs_src/body_updates/tutorial002.py!}
```

### 使用 Pydantic 的 `update` 参数

接下来，用 `.copy()` 为已有模型创建调用 `update` 参数的副本，该参数为包含更新数据的 `dict`。

例如，`stored_item_model.copy(update=update_data)`：

```Python hl_lines="35"
{!../../../docs_src/body_updates/tutorial002.py!}
```

### 更新部分数据小结

简而言之，更新部分数据应：

    ```

### Partial updates recap

In summary, to apply partial updates you would:

* (Optionally) use `PATCH` instead of `PUT`.
* Retrieve the stored data.
* Put that data in a Pydantic model.
* Generate a `dict` without default values from the input model (using `exclude_unset`).