typedef struct {
		uint32_t flags;
		[string] wchar_t *dfs_name;
	} DfsInfo300;

	typedef struct {
		uint32_t count;
		[size_is(count)] DfsInfo300 *s;
	} DfsEnumArray300;

	typedef union {
		[case(1)] DfsEnumArray1 *info1;
		[case(3)] DfsEnumArray3 *info3;
		[case(200)] DfsEnumArray200 *info200;
		[case(300)] DfsEnumArray300 *info300;
	} DfsEnumInfo;

	typedef struct {
		uint32_t level,

The same would happen if you had something like a <dfn title='A union between multiple types means "any of these types".'>union</dfn> between different types where one or more of them are not valid Pydantic types, for example this would fail 💥:

{* ../../docs_src/response_model/tutorial003_04_py310.py hl[8] *}

def test_raises_pydantic_v1_model_in_union() -> None:
    class ModelV1A(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.post("/union")
        def endpoint(data: dict | ModelV1A):  # pragma: no cover
            return data


def test_raises_pydantic_v1_model_in_sequence() -> None:
    class ModelV1A(BaseModel):
        name: str

#### Union { #union }

Sie können deklarieren, dass eine Variable einer von **verschiedenen Typen** sein kann, zum Beispiel ein `int` oder ein `str`.

Um das zu definieren, verwenden Sie den <dfn title="auch „bitweiser Oder-Operator“ genannt, aber diese Bedeutung ist hier nicht relevant">vertikalen Balken (`|`)</dfn>, um beide Typen zu trennen.

import static org.eclipse.aether.impl.scope.BuildScopeQuery.select;
import static org.eclipse.aether.impl.scope.BuildScopeQuery.singleton;
import static org.eclipse.aether.impl.scope.BuildScopeQuery.union;

/**
 * Maven3 scope configurations. Configures scope manager to support Maven3 scopes.
 * <p>
 * This manager supports the old Maven 3 dependency scopes.
 *
 * @since 2.0.0

form of JUnit-based XML.
"""
import argparse
import datetime
import os
import re
from typing import Dict, Union
import xml.etree.ElementTree as ElemTree


ResultDictType = Dict[str, Dict[str, Union[str, int]]]

RESULT_STORE_LINK_RE = re.compile(
    r'^INFO: Streaming build results to: (https://[\w./\-]+)')
FAILED_BUILD_LINE = 'FAILED: Build did NOT complete successfully'

  //
  // Element-level accessors
  //

  /**
   * Returns a live view of the edges in this graph whose endpoints include {@code node}.
   *
   * <p>This is equal to the union of incoming and outgoing edges.
   *
   * <p>If {@code node} is removed from the graph after this method is called, the {@code Set}
   * {@code view} returned by this method will be invalidated, and will throw {@code

_invalid_args_message = (
    "Invalid args for response field! Hint: "
    "check that {type_} is a valid Pydantic field type. "
    "If you are using a return type annotation that is not a valid Pydantic "
    "field (e.g. Union[Response, dict, None]) you can disable generating the "
    "response model from the type annotation with the path operation decorator "
    "parameter response_model=None. Read more: "

这表示：

* 变量 `prices` 是一个 `dict`：
    * 这个 `dict` 的键是 `str` 类型（比如，每个条目的名称）。
    * 这个 `dict` 的值是 `float` 类型（比如，每个条目的价格）。

#### Union { #union }

你可以声明一个变量可以是若干种类型中的任意一种，比如既可以是 `int` 也可以是 `str`。

定义时使用<dfn title='也叫“按位或运算符（bitwise or operator）”，但这里与该含义无关'>竖线（`|`）</dfn>把两种类型分开。

这称为“联合类型”（union），因为变量可以是这两类类型集合的并集中的任意一个。

```Python hl_lines="1"
{!> ../../docs_src/python_types/tutorial008b_py310.py!}
```

        }

        @Override
        public void decode_out(NdrBuffer _src) throws NdrException {
            level = _src.dec_ndr_long();
            _src.dec_ndr_long(); /* union discriminant */
            final int _infop = _src.dec_ndr_long();
            if (_infop != 0) {
                if (info == null) { /* YOYOYO */
                    info = new ShareInfoCtr0();
                }