* governing permissions and limitations under the License.
 */
package org.codelibs.fess.es.config.cbean.bs;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;

import org.codelibs.fess.es.config.allcommon.EsAbstractConditionBean;
import org.codelibs.fess.es.config.bsentity.dbmeta.DuplicateHostDbm;
import org.codelibs.fess.es.config.cbean.DuplicateHostCB;

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.es.config.cbean.bs;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;

import org.codelibs.fess.es.config.allcommon.EsAbstractConditionBean;
import org.codelibs.fess.es.config.bsentity.dbmeta.JobLogDbm;
import org.codelibs.fess.es.config.cbean.JobLogCB;

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.es.config.cbean.bs;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;

import org.codelibs.fess.es.config.allcommon.EsAbstractConditionBean;
import org.codelibs.fess.es.config.bsentity.dbmeta.RelatedQueryDbm;
import org.codelibs.fess.es.config.cbean.RelatedQueryCB;

from decimal import Decimal
from typing import List

from dirty_equals import IsDict, IsOneOf
from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel, condecimal

app = FastAPI()


class Item(BaseModel):
    name: str
    age: condecimal(gt=Decimal(0.0))  # type: ignore


@app.post("/items/")
def save_item_no_body(item: List[Item]):
    return {"item": item}

			Optional:    true,
			Type:        "duration",
		},
		config.HelpKV{
			Key:         apiCorsAllowOrigin,
			Description: `set comma separated list of origins allowed for CORS requests` + defaultHelpPostfix(apiCorsAllowOrigin),
			Optional:    true,
			Type:        "csv",
		},
		config.HelpKV{
			Key:         apiRemoteTransportDeadline,

    public ColumnInfo columnUpdatedBy() {
        return _columnUpdatedBy;
    }

    public ColumnInfo columnUpdatedTime() {
        return _columnUpdatedTime;
    }

    protected List<ColumnInfo> ccil() {
        List<ColumnInfo> ls = newArrayList();
        ls.add(columnCreatedBy());
        ls.add(columnCreatedTime());
        ls.add(columnExpiredTime());
        ls.add(columnName());

    }
  }

  protected final void expectReplacement(Entry<K, V> newEntry) {
    List<Entry<K, V>> expected = copyToList(getSampleElements());
    replaceValue(expected, newEntry);
    expectContents(expected);
  }

  private void replaceValue(List<Entry<K, V>> expected, Entry<K, V> newEntry) {
    for (ListIterator<Entry<K, V>> i = expected.listIterator(); i.hasNext(); ) {

    runs-on: ubuntu-latest

    strategy:
      fail-fast: false
      matrix:
        # Override automatic language detection by changing the below list
        # Supported options are ['csharp', 'cpp', 'go', 'java', 'javascript', 'python']
        language: ['java', 'javascript']
        # Learn more...

    def format = new SimpleDateFormat('yyyyMMddHHmmssZ')

    def setup() {
        format.timeZone = TimeZone.getTimeZone("UTC")
    }

    def "final release is added to list"() {
        def snapshot = snapshot('4.3')
        def rc = releasedVersion('4.3-rc-1')
        def versions = releasedVersions(snapshot, rc, [])
        def version = new ReleasedVersion('4.2', '20170913122310+0000')

```

### 嵌套类型

有些容器数据结构可以包含其他的值，比如 `dict`、`list`、`set` 和 `tuple`。它们内部的值也会拥有自己的类型。

你可以使用 Python 的 `typing` 标准库来声明这些类型以及子类型。

它专门用来支持这些类型提示。

#### 列表

例如，让我们来定义一个由 `str` 组成的 `list` 变量。

从 `typing` 模块导入 `List`（注意是大写的 `L`）：

```Python hl_lines="1"
{!../../docs_src/python_types/tutorial006.py!}
```

同样以冒号（`:`）来声明这个变量。

输入 `List` 作为类型。

由于列表是带有"子类型"的类型，所以我们把子类型放在方括号中：