errors.design_file_name_is_invalid = The file name is invalid.
errors.design_file_is_unsupported_type = This file type is unsupported.
errors.failed_to_create_crawling_config_at_wizard = Failed to create a crawling config at a wizard.
errors.design_editor_disabled = This feature is disabled.
errors.not_found_on_file_system = Not found. Cause: {0}

    }

    @Test
    @DisplayName("Should check if can reuse")
    void testCanReuse() {
        // When same config
        assertTrue(response.canReuse(mockContext, false));

        // When different config
        Configuration otherConfig = mock(Configuration.class);
        CIFSContext otherContext = mock(CIFSContext.class);

- Kube-apiserver: the `--encryption-provider-config` file is now loaded with strict deserialization, which fails if the config file contains duplicate or unknown fields. This protects against accidentally running with config files that are malformed, mis-indented, or have typos in field names, and getting unexpected behavior. When `--encryption-provider-config-automatic-reload` is used, new encryption config files that contain typos after the kube-apiserver is running are treated...

# 模式的额外信息 - 例子

您可以在JSON模式中定义额外的信息。

一个常见的用例是添加一个将在文档中显示的`example`。

有几种方法可以声明额外的 JSON 模式信息。

## Pydantic `schema_extra`

您可以使用 `Config` 和 `schema_extra` 为Pydantic模型声明一个示例，如<a href="https://docs.pydantic.dev/latest/concepts/json_schema/#schema-customization" class="external-link" target="_blank">Pydantic 文档：定制 Schema </a>中所述:

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:21] *}

这些额外的信息将按原样添加到输出的JSON模式中。

		chmod +x mc
fi

set +e

export MC_HOST_minioadm=http://minioadmin:minioadmin@localhost:9100/
./mc ready minioadm

./mc ls minioadm/

./mc admin config set minioadm/ api root_access=off

sleep 3s # let things settle a little

./mc ls minioadm/
if [ $? -eq 0 ]; then
	echo "listing succeeded, 'minioadmin' was not disabled"
	exit 1
fi

set -e

- JWT authenticator config set via the --authentication-config flag is now dynamically reloaded as the file changes on disk. ([#123525](https://github.com/kubernetes/kubernetes/pull/123525), [@enj](https://github.com/enj)) [SIG API Machinery, Auth and Testing]

 */
package org.codelibs.fess.opensearch.config.cbean.ca.bs;

import org.codelibs.fess.opensearch.config.allcommon.EsAbstractConditionAggregation;
import org.codelibs.fess.opensearch.config.allcommon.EsAbstractConditionQuery;
import org.codelibs.fess.opensearch.config.cbean.ca.DataConfigCA;
import org.codelibs.fess.opensearch.config.cbean.cq.DataConfigCQ;
import org.codelibs.fess.opensearch.config.cbean.cq.bs.BsDataConfigCQ;

    return client


def test_get(client: TestClient):
    response = client.get("/")
    assert response.json() == {"custom_field": [1.0, 2.0, 3.0]}


def test_typeadapter():
    # This test is only to confirm that Pydantic alone is working as expected
    from pydantic import (
        BaseModel,
        ConfigDict,
        PlainSerializer,
        TypeAdapter,
        WithJsonSchema,
    )

Você precisa importar o `WSGIMiddleware`.

Em seguida, encapsule a aplicação WSGI (e.g. Flask) com o middleware.

E então monte isso sob um path.

{* ../../docs_src/wsgi/tutorial001_py39.py hl[2:3,3] *}

## Confira { #check-it }

Agora, todas as requisições sob o path `/v1/` serão manipuladas pela aplicação Flask.

E o resto será manipulado pelo **FastAPI**.

	if err == nil {
		return pdata, nil
	}
	if GlobalKMS != nil {
		pdata, err = config.DecryptBytes(GlobalKMS, data, kms.Context{
			minioMetaBucket: path.Join(minioMetaBucket, objPath),
		})
		if err == nil {
			return pdata, nil
		}
		pdata, err = config.DecryptBytes(GlobalKMS, data, kms.Context{
			minioMetaBucket: objPath,
		})
		if err == nil {
			return pdata, nil
		}