Let's say you only have a single `item` body parameter from a Pydantic model `Item`.

By default, **FastAPI** will then expect its body directly.

But if you want it to expect a JSON with a key `item` and inside of it the model contents, as it does when you declare extra body parameters, you can use the special `Body` parameter `embed`:

```Python
item: Item = Body(embed=True)
```

as in:

{* ../../docs_src/query_params_str_validations/tutorial013_an_py39.py hl[9] *}

/// note

Keep in mind that in this case, FastAPI won't check the contents of the list.

For example, `list[int]` would check (and document) that the contents of the list are integers. But `list` alone wouldn't.

///

## Declare more metadata { #declare-more-metadata }

You can add more information about the parameter.

        }

        // xpath.*
        public static class XPath {
            public static final String DEFAULT_LANG = "default.lang";
            public static final String DEFAULT_CONTENT = "default.content";
            public static final String DEFAULT_DIGEST = "default.digest";
            // xapth.<field>=<value>
        }

        // config.*
        public static class Config {

      "important_content": {
        "type": "text",
        "analyzer": "standard_analyzer",
        "search_analyzer": "standard_search_analyzer",
        "term_vector": "with_positions_offsets"
      },
      "content": {
        "type": "text",
        "analyzer": "standard_analyzer",
        "search_analyzer": "standard_search_analyzer",
        "term_vector": "with_positions_offsets"
      },
      "content_minhash": {

          + ")") : "(cache)";
      int responseCode = response.code();

      System.out.printf("%03d: %s %s%n", responseCode, url, responseSource);

      String contentType = response.header("Content-Type");
      if (responseCode != 200 || contentType == null) {
        return;
      }

      MediaType mediaType = MediaType.parse(contentType);

    size: Annotated[Optional[int], Doc("The size of the file in bytes.")]
    headers: Annotated[Headers, Doc("The headers of the request.")]
    content_type: Annotated[
        Optional[str], Doc("The content type of the request, from the headers.")
    ]

    async def write(
        self,
        data: Annotated[
            bytes,
            Doc(
                """

            if (propertyDoc.getDescription() == null) {
                throw new RuntimeException(String.format("Docbook content for '%s.%s' does not contain a description paragraph.", classDoc.getName(), propName));
            }

            props.put(propName, propertyDoc);
        }

			}
		})
	}
}

func setupKMSTest(t *testing.T, enableKMS bool) (*adminErasureTestBed, func()) {
	adminTestBed, err := prepareAdminErasureTestBed(t.Context())
	if err != nil {
		t.Fatal(err)
	}
	registerKMSRouter(adminTestBed.router)

	if enableKMS {
		GlobalKMS = kms.NewStub("default-test-key")
	}

	tearDown := func() {

### Memória por Processo { #memory-per-process }

Agora, quando o programa carrega coisas na memória, por exemplo, um modelo de aprendizado de máquina em uma variável, ou o conteúdo de um arquivo grande em uma variável, tudo isso **consome um pouco da memória (RAM)** do servidor.

	}
	if _, tw.err = tw.w.Write(zeroBlock[:tw.pad]); tw.err != nil {
		return tw.err
	}
	tw.pad = 0
	return nil
}

// WriteHeader writes hdr and prepares to accept the file's contents.
// The Header.Size determines how many bytes can be written for the next file.
// If the current file is not fully written, then this returns an error.
// This implicitly flushes any padding necessary before writing the header.