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

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] *}

        : 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();

這代表：

* 變數 `prices` 是個 `dict`：
    * 這個 `dict` 的鍵是 `str`（例如每個項目的名稱）。
    * 這個 `dict` 的值是 `float`（例如每個項目的價格）。

#### Union { #union }

你可以宣告一個變數可以是「多種型別」中的任一種，例如 `int` 或 `str`。

要這麼定義，你使用<dfn title='也稱為「位元或運算子」，但在這裡與該含義無關'>豎線（`|`）</dfn>來分隔兩種型別。

這稱為「union」，因為變數可以是這兩種型別集合的聯集中的任一種。

```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();
                }

from copy import copy
from dataclasses import dataclass, is_dataclass
from enum import Enum
from functools import lru_cache
from typing import (
    Annotated,
    Any,
    Literal,
    Union,
    cast,
    get_args,
    get_origin,
)

from fastapi._compat import lenient_issubclass, shared
from fastapi.openapi.constants import REF_TEMPLATE
from fastapi.types import IncEx, ModelNameMap, UnionType

from collections.abc import Callable, Iterable, Mapping
from enum import Enum
from typing import Annotated, Any, Literal, Optional, Union

from fastapi._compat import with_info_plain_validator_function
from fastapi.logger import logger
from pydantic import (
    AnyUrl,
    BaseModel,
    Field,
    GetJsonSchemaHandler,
)
from typing_extensions import TypedDict
from typing_extensions import deprecated as typing_deprecated

try:

  //
  // Element-level accessors
  //

  /**
   * Returns a live view of the nodes which have an incident edge in common with {@code node} in
   * this graph.
   *
   * <p>This is equal to the union of {@link #predecessors(Object)} and {@link #successors(Object)}.
   *
   * <p>If {@code node} is removed from the graph after this method is called, the {@code Set}

            }
        }

        return projects
    }

    /**
     * Computes the complete set of target runtimes for each project.
     *
     * A project's computed target runtimes are the union of the required runtimes declared by
     * every project that transitively depends on that project. This ensures that if a project
     * which must be able to run on a certain set of runtimes depends on another project,