assertMinSize(union(emptySet(), emptySet()), 0);
    assertMinSize(union(setSize(2), setSize(3)), 3);
    assertMinSize(union(setSize(3), setSize(2)), 3);
    assertMinSize(union(setSizeRange(10, 20), setSizeRange(11, 12)), 11);
    assertMinSize(union(setSizeRange(11, 12), setSizeRange(10, 20)), 11);
  }

  public void testUnion_maxSize() {
    assertMaxSize(union(emptySet(), emptySet()), 0);

pkg go/types, method (*TypeParamList) At(int) *TypeParam
pkg go/types, method (*TypeParamList) Len() int
pkg go/types, method (*Union) Len() int
pkg go/types, method (*Union) String() string
pkg go/types, method (*Union) Term(int) *Term
pkg go/types, method (*Union) Underlying() Type
pkg go/types, type ArgumentError struct
pkg go/types, type ArgumentError struct, Err error
pkg go/types, type ArgumentError struct, Index int

#### Union { #union }

You can declare that a variable can be any of **several types**, for example, an `int` or a `str`.

To define it you use the <dfn title='also called "bitwise or operator", but that meaning is not relevant here'>vertical bar (`|`)</dfn> to separate both types.

This is called a "union", because the variable can be anything in the union of those two sets of types.

def is_union_of_base_models(field_type: Any) -> bool:
    """Check if field type is a Union where all members are BaseModel subclasses."""
    from fastapi.types import UnionType

    origin = get_origin(field_type)

    # Check if it's a Union type (covers both typing.Union and types.UnionType in Python 3.10+)
    if origin is not Union and origin is not UnionType:
        return False

    union_args = get_args(field_type)

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'

        : result;
  }

  /**
   * Returns a new range set consisting of the union of this range set and {@code other}.
   *
   * <p>This is essentially the same as {@code TreeRangeSet.create(this).addAll(other)} except it
   * returns an {@code ImmutableRangeSet}.
   *
   * @since 21.0
   */
  public ImmutableRangeSet<C> union(RangeSet<C> other) {
    return unionOf(Iterables.concat(asRanges(), other.asRanges()));
  }

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] *}

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!}
```

        : result;
  }

  /**
   * Returns a new range set consisting of the union of this range set and {@code other}.
   *
   * <p>This is essentially the same as {@code TreeRangeSet.create(this).addAll(other)} except it
   * returns an {@code ImmutableRangeSet}.
   *
   * @since 21.0
   */
  public ImmutableRangeSet<C> union(RangeSet<C> other) {
    return unionOf(Iterables.concat(asRanges(), other.asRanges()));
  }

        }

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