from pydantic import BaseModel

fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret",
        "disabled": False,
    },
    "alice": {
        "username": "alice",
        "full_name": "Alice Wonderson",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret2",

	pluginAuthnServiceSuccMaxRttMsMinuteMD   = NewCounterMD(pluginAuthnServiceSuccMaxRttMsMinute, "When plugin authentication is configured, returns maximum round-trip-time of successful requests in the last full minute")

  gcloud auth activate-service-account --key-file="$TFCI_ARTIFACT_FINAL_GCS_SA_PATH"

  # $TF_VER_FULL will resolve to e.g. "2.15.0-rc2". Since $TF_VER_FULL comes
  # from get_versions.sh, which must be run *after* update_version.py, FINAL_URI
  # can't be set inside the rest of the _upload envs.
  FINAL_URI="$TFCI_ARTIFACT_FINAL_GCS_URI/$TF_VER_FULL"
  gsutil -m rsync -d -r "$DOWNLOADS" "$FINAL_URI"

* GitLab **CI**（持续集成），包括前后端测试

## 全栈 FastAPI + Couchbase

GitHub：<a href="https://github.com/tiangolo/full-stack-fastapi-couchbase" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-fastapi-couchbase</a>

⚠️ **警告** ⚠️

如果您想从头开始创建新项目，建议使用以下备选方案。

		Example: `  # Retrieve summary about all configuration for a given pod from Envoy.
  istioctl proxy-config all <pod-name[.namespace]>

  # Retrieve full cluster dump as JSON
  istioctl proxy-config all <pod-name[.namespace]> -o json

  # Retrieve full cluster dump with short syntax
  istioctl pc a <pod-name[.namespace]>

  # Retrieve cluster summary without using Kubernetes API

```Python
UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

或更精准，直接把可能会用到的内容与 `user_dict` 一起使用：

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

#### 用其它模型中的内容生成 Pydantic 模型

    email="******@****.***",
    full_name=None,
)
```

Или, если для большей точности мы напрямую используем `user_dict` с любым потенциальным содержимым, то этот пример будет выглядеть так:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

    }

    /**
     * デフォルロケールで{@link DateFormat#FULL}スタイルのパターン文字列を返します。
     *
     * @return {@link DateFormat#FULL}スタイルのパターン文字列
     */
    public static String getFullPattern() {
        return getFullPattern(LocaleUtil.getDefault());
    }

    /**
     * 指定されたロケールで{@link DateFormat#FULL}スタイルのパターン文字列を返します。
     *
     * @param locale

    password="secret",
    email="******@****.***",
    full_name=None,
)
```

Oder, präziser, `user_dict` wird direkt verwendet, welche Werte es auch immer haben mag:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

      - name: 'Set up JDK ${{ matrix.java }}'
        uses: actions/setup-java@99b8673ff64fbf99d8d325f52d9a5bdedb8483e9 # v4.2.1

        with:
          java-version: ${{ matrix.java }}
          distribution: 'zulu'
          cache: 'maven'
      - name: 'Install'
        shell: bash
        run: ./mvnw -B -Dorg.slf4j.simpleLogger.log.org.apache.maven.cli.transfer.Slf4jMavenTransferListener=warn install -U -DskipTests=true -f $ROOT_POM