{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Використання параметра `update` у Pydantic { #using-pydantics-update-parameter }

Тепер Ви можете створити копію наявної моделі за допомогою `.model_copy()`, і передати параметр `update` з `dict`, який містить дані для оновлення.

Наприклад: `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Usando o parâmetro `update` do Pydantic { #using-pydantics-update-parameter }

Agora, você pode criar uma cópia do modelo existente usando `.model_copy()`, e passar o parâmetro `update` com um `dict` contendo os dados para atualizar.

Como `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### 使用 Pydantic 的 `update` 参数 { #using-pydantics-update-parameter }

接下来，用 `.model_copy()` 为已有模型创建副本，并传入 `update` 参数，值为包含更新数据的 `dict`。

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

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

### 部分更新小结 { #partial-updates-recap }

简而言之，应用部分更新应当：

* （可选）使用 `PATCH` 而不是 `PUT`。
* 提取已存储的数据。

### Pydantic의 `update` 파라미터 사용하기 { #using-pydantics-update-parameter }

이제 `.model_copy()`를 사용해 기존 모델의 복사본을 만들고, 업데이트할 데이터가 들어있는 `dict`를 `update` 파라미터로 전달할 수 있습니다.

예: `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

### 부분 업데이트 요약 { #partial-updates-recap }

정리하면, 부분 업데이트를 적용하려면 다음을 수행합니다:

        with:
          signoff: true
          sign-commits: true
          commit-message: "Update jdks.yaml"
          add-paths: .teamcity/jdks.yaml
          title: "Update jdks.yaml"
          body: "This PR updates JDK to the latest versions available in `.teamcity/jdks.yaml`."
          delete-branch: true
          branch: "devprod/update-jdks"
          branch-suffix: timestamp
          labels: |
            in:building-gradle

        // Create test input stream
        String content = "updated1\n" + "updated2\n";
        InputStream is = new ByteArrayInputStream(content.getBytes(StandardCharsets.UTF_8));

        // Update from input stream
        protwordsFile.update(is);

        // Verify update
        PagingList<ProtwordsItem> list = protwordsFile.selectList(0, 100);
        assertEquals(2, list.size());

# 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

        try (MappingUpdater updater = new MappingUpdater(item)) {
            reload(updater);
        }
    }

    /**
     * Reloads the character mapping items from the dictionary file.
     *
     * @param updater the mapping updater to use for writing changes, or null for read-only reload
     */
    protected void reload(final MappingUpdater updater) {

        with:
          commit-message: Update test buckets
          branch: devprod/update-test-buckets
          branch-suffix: timestamp
          delete-branch: true
          title: 'Update test buckets'
          signoff: true
          sign-commits: true
          labels: |
            in:building-gradle
            @dev-productivity
          body: |

          branch-suffix: timestamp
          delete-branch: true
          title: 'Update performance test durations'
          signoff: true
          sign-commits: true
          labels: |
            in:building-gradle
            @dev-productivity
          body: |