}

  @Test
  fun replaceOnlyTag() {
    val uuidTag1 = UUID.randomUUID()
    val uuidTag2 = UUID.randomUUID()
    val request =
      Request
        .Builder()
        .url("https://square.com")
        .tag(UUID::class.java, uuidTag1)
        .tag(UUID::class.java, uuidTag2)
        .build()
    assertThat(request.tag(UUID::class.java)).isSameInstanceAs(uuidTag2)

from __future__ import annotations

import uuid
from dataclasses import dataclass, field

from dirty_equals import IsUUID
from fastapi import FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot


@dataclass
class Item:
    id: uuid.UUID
    name: str
    price: float
    tags: list[str] = field(default_factory=list)
    description: str | None = None
    tax: float | None = None

import uuid

import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel


class MyUuid:
    def __init__(self, uuid_string: str):
        self.uuid = uuid_string

    def __str__(self):
        return self.uuid

    @property  # type: ignore
    def __class__(self):
        return uuid.UUID

    @property
    def __dict__(self):

    val failStage: Boolean = true,
) {
    constructor(
        uuid: Int,
        testType: TestType,
        os: Os,
        testJvm: JvmCategory,
        expectedBucketNumber: Int = DEFAULT_FUNCTIONAL_TEST_BUCKET_SIZE,
        buildJvm: Jvm = BuildToolBuildJvm,
        arch: Arch = Arch.AMD64,
        failStage: Boolean = true,
    ) : this(
        uuid,
        testType,
        os,
        testJvm.version,

    stage: Stage,
    smokeBuildTypes: List<OsAwareBaseGradleBuildType>,
) : Project({
        id("${model.projectId}_Stage_${stage.stageName.id}_SmokeTest")
        uuid = "${DslContext.uuidPrefix}_${model.projectId}_Stage_${stage.stageName.uuid}_SmokeTest"
        name = "Smoke Test"
        description = "Smoke tests against third-party plugins, Gradle build, and IDE sync"
    }) {
    init {

        searchRenderData.setQueryId("");
        assertEquals("", searchRenderData.getQueryId());

        // Test with UUID-like string
        String uuid = "123e4567-e89b-12d3-a456-426614174000";
        searchRenderData.setQueryId(uuid);
        assertEquals(uuid, searchRenderData.getQueryId());

        // Test with simple ID
        searchRenderData.setQueryId("query-001");

    IPv4Network,
    IPv6Address,
    IPv6Interface,
    IPv6Network,
)
from pathlib import Path, PurePath
from re import Pattern
from types import GeneratorType
from typing import Annotated, Any
from uuid import UUID

from annotated_doc import Doc
from fastapi.exceptions import PydanticV1NotSupportedError
from fastapi.types import IncEx
from pydantic import BaseModel
from pydantic.color import Color  # ty: ignore[deprecated]

* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types { #other-data-types }

Here are some of the additional data types you can use:

* `UUID`:
    * A standard "Universally Unique Identifier", common as an ID in many databases and systems.
    * In requests and responses will be represented as a `str`.
* `datetime.datetime`:
    * A Python `datetime.datetime`.

    prevStage: Stage?,
    os: Os?,
    dependencies: List<BaseGradleBuildType>,
    generateTriggers: Boolean = true,
) : BaseGradleBuildType(init = {
        id(stageTriggerId(model, stage, os))
        uuid = stageTriggerUuid(model, stage, os)
        name = stage.stageName.stageName + " (Trigger)" + (os?.asName()?.toCapitalized()?.let { "($it)" } ?: "")
        type = Type.COMPOSITE

        applyDefaultSettings()

* `str`
* `bool`

但你也可以使用更複雜的資料型別。

而且你仍然會擁有目前為止所見的同樣功能：

* 極佳的編輯器支援。
* 將傳入請求的資料轉換。
* 回應資料的轉換。
* 資料驗證。
* 自動產生註解與文件。

## 其他資料型別 { #other-data-types }

以下是你可以使用的一些其他資料型別：

* `UUID`：
    * 一種標準的「通用唯一識別碼 (Universally Unique Identifier)」，常見於許多資料庫與系統的 ID。
    * 在請求與回應中會以 `str` 表示。
* `datetime.datetime`：
    * Python 的 `datetime.datetime`。
    * 在請求與回應中會以 ISO 8601 格式的 `str` 表示，例如：`2008-09-15T15:53:00+05:00`。