cmd := exec.Command(goCmd(), "list", "-e", "-deps", "-json", "std")
		cmd.Env = listEnv(w.context)
		if w.context.Dir != "" {
			cmd.Dir = w.context.Dir
		}
		cmd.Stderr = os.Stderr
		out, err := cmd.Output()
		if err != nil {
			log.Fatalf("loading imports: %v\n%s", err, out)
		}

		var stdPackages []string
		importMap := make(map[string]map[string]string)
		importDir := make(map[string]string)

}
```

## 출력 데이터용 Pydantic `bytes` { #pydantic-bytes-for-output-data }

출력 데이터에도 모델 설정에서 `ser_json_bytes`와 함께 `bytes` 필드를 사용할 수 있습니다. 그러면 Pydantic이 JSON 응답을 생성할 때 바이트를 base64로 “직렬화”합니다.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

## 입력과 출력 데이터용 Pydantic `bytes` { #pydantic-bytes-for-input-and-output-data }

        final Node pruneNode = transformer.processGoogleOffOn(document, new ValueHolder<>(true));
        final String output = getXmlString(pruneNode).replaceAll(".*<BODY[^>]*>", "").replaceAll("</BODY>.*", "");
        assertEquals("foo1<!--googleoff: index--><A href=\"index.html\"/><!--googleon: index-->foo5", output);
    }

    @Test
    public void test_processXRobotsTags_no() throws Exception {

                            logger.warn("  " + unsafePlugin.getId());
                        }
                        logger.warn("");
                        logger.warn("Enable verbose output (-X) to see precisely which goals are not marked as"
                                + " thread-safe.");
                    }
                    logger.warn(MultilineMessageHelper.separatorLine());
                }

Ви також можете використовувати поля `bytes` з `ser_json_bytes` у конфігурації моделі для вихідних даних, і Pydantic серіалізує байти як base64 під час формування відповіді JSON.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

## Pydantic `bytes` для вхідних і вихідних даних { #pydantic-bytes-for-input-and-output-data }

    when explicitly forbidden.
 *  Fix: Throw a `SSLPeerUnverifiedException` when host verification fails.
 *  Fix: MockWebServer explicitly closes sockets. (On some Android releases,
    closing the input stream and output stream of a socket is not sufficient.
 *  Fix: Buffer outgoing HTTP/2 frames to limit how many outgoing frames are
    created.
 *  Fix: Avoid crashing when cache writing fails due to a full disk.

Você receberá uma response assim:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Pydantic `bytes` para dados de saída { #pydantic-bytes-for-output-data }

Você também pode usar campos `bytes` com `ser_json_bytes` na configuração do modelo para dados de saída, e o Pydantic irá *serializar* os bytes como base64 ao gerar a response JSON.

        file("/build/classes/java/yamlRestTest/MockIT.class").exists()

        // check that our copied specs and tests are on the yamlRestTest classpath
        result.output.contains("./build/restResources/yamlSpecs")
        result.output.contains("./build/restResources/yamlTests")

        when:
        result = gradleRunner("yamlRestTest").build()

        then:

**Step 1: Export from Source**

Export documents from your existing Elasticsearch/OpenSearch cluster:

```bash
# Using elasticdump
elasticdump \
  --input=http://old-es-server:9200/my-index \
  --output=documents.json \
  --type=data
```

**Step 2: Convert to Fess Format**

Transform documents to include Fess required fields. Example transformation script:

```python
import json

    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Forms.
    * Files.
* <dfn title="also known as: serialization, parsing, marshalling">Conversion</dfn> of output data: converting from Python data and types to network data (as JSON):
    * Convert Python types (`str`, `int`, `float`, `bool`, `list`, etc).
    * `datetime` objects.
    * `UUID` objects.
    * Database models.