context = browser.new_context(viewport={"width": 960, "height": 1080})
    page = context.new_page()
    page.goto("http://localhost:8000/docs")
    page.get_by_text("GET/items/Read Items").click()
    page.get_by_role("tab", name="Schema").click()
    page.get_by_label("Schema").get_by_role("button", name="Expand all").click()
    # Manually add the screenshot
    page.screenshot(

- Check that `account` client_id has the role 'admin' assigned in the "Service Account Roles" tab.

After that, you will be able to obtain an id_token for the Admin REST API using client_id and client_secret:

```
curl \
  -d "client_id=<YOUR_CLIENT_ID>" \

Вы можете использовать все те же возможности валидации и инструменты, что и для Pydantic‑моделей, например разные типы данных и дополнительную валидацию через `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}

////

//// tab | Pydantic v1

/// info | Информация

В Pydantic v1 вы бы импортировали `BaseSettings` напрямую из `pydantic`, а не из `pydantic_settings`.

///

		}
		return subdir, true, nil
	}

	for _, p := range filepath.SplitList(build.Default.GOPATH) {
		pabs, err := filepath.EvalSymlinks(p)
		if err != nil {
			return "", false, err
		}
		if !strings.HasPrefix(cwd, pabs) {
			continue
		}
		subdir, err := filepath.Rel(pabs, cwd)
		if err == nil {
			return subdir, false, nil
		}
	}
	return "", false, fmt.Errorf(

/// tip | 提示

不必为你使用的所有标签都添加元数据。

///

### 使用你的标签

将 `tags` 参数和*路径操作*（以及 `APIRouter`）一起使用，将其分配给不同的标签：

{* ../../docs_src/metadata/tutorial004.py hl[21,26] *}

/// info | 信息

阅读更多关于标签的信息[路径操作配置](path-operation-configuration.md#tags){.internal-link target=_blank}。

///

### 查看文档

如果你现在查看文档，它们会显示所有附加的元数据：

# limitations under the License.
# ==============================================================================

name: ARM CI Extended

on:
  push:
    tags:
      - v2.**
  schedule:
    - cron: '0 4 * * *'

permissions:
  contents: read

jobs:
  build:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks

//// tab | Python 3.9+

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.9+ non-Annotated

/// tip

Prefer to use the `Annotated` version if possible.

///

				Name:      dobj.ObjectName,
				VersionID: dobj.VersionID,
			}
			traceFn := globalLifecycleSys.trace(oi)
			tags := newLifecycleAuditEvent(lcEventSrc_Scanner, lcEvent[i]).Tags()

			// Send audit for the lifecycle delete operation
			auditLogLifecycle(
				ctx,
				oi,
				ILMExpiry, tags, traceFn)

			evArgs := eventArgs{
				EventName:  event.ObjectRemovedDelete,
				BucketName: bucket,

	  createdAfter: "date" # match objects created after "date"
	  createdBefore: "date" # match objects created before "date"

	  ## NOTE: tags are not supported when "source" is remote.
	  # tags:
	  #   - key: "name"
	  #     value: "pick*" # match objects with tag 'name', with all values starting with 'pick'

	  ## NOTE: metadata filter not supported when "source" is non MinIO.

	entry.API.Status = opts.Status
	entry.Tags = make(map[string]any, len(opts.Tags))
	for k, v := range opts.Tags {
		entry.Tags[k] = v
	}

	// Merge tag information if found - this is currently needed for tags
	// set during decommissioning.
	if reqInfo := logger.GetReqInfo(ctx); reqInfo != nil {
		reqInfo.PopulateTagsMap(opts.Tags)
	}
	ctx = logger.SetAuditEntry(ctx, &entry)