"get": {
                        "responses": {
                            "200": {
                                "description": "Successful Response",
                                "content": {"application/json": {"schema": {}}},
                            }
                        },
                        "summary": "Read Current User",
                        "operationId": "read_current_user_users_me_get",

      }
    assertFailsWith<IOException> {
      body.bytes()
    }.also { expected ->
      assertThat(expected.message).isEqualTo(
        "Content-Length (10) and stream length (5) disagree",
      )
    }
  }

  @Test
  fun bytesThrowsMoreThanIntMaxValue() {
    val body: ResponseBody =
      object : ResponseBody() {

儘管如此，我們仍可宣告請求本文的預期結構。

### 自訂 OpenAPI Content-Type { #custom-openapi-content-type }

用同樣的方法，你可以使用 Pydantic 模型來定義 JSON Schema，並把它包含到該*路徑操作*的自訂 OpenAPI 區段中。

即使請求中的資料型別不是 JSON 也可以這麼做。

例如，在這個應用中，我們不使用 FastAPI 內建的從 Pydantic 模型擷取 JSON Schema 的功能，也不使用 JSON 的自動驗證。實際上，我們將請求的 content type 宣告為 YAML，而非 JSON：

import jakarta.annotation.PostConstruct;

/**
 * Standard transformer implementation for the Fess search engine.
 * This transformer handles document transformation and content extraction using
 * the standard Fess file transformation process with support for various content types.
 *
 * <p>It extends AbstractFessFileTransformer to provide file-specific transformation
 * capabilities while using the appropriate extractor for each document type.</p>

      else -> {
        // Stream a request body of a known length.
        throw IllegalStateException(
          "Cannot stream a request body without chunked encoding or a known content length!",
        )
      }
    }

  override fun cancel() {
    carrier.cancel()
  }

  /**
   * Prepares the HTTP headers and sends them to the server.
   *

                    "get": {
                        "responses": {
                            "200": {
                                "description": "Successful Response",
                                "content": {"application/json": {"schema": {}}},
                            }
                        },
                        "summary": "Read Current User",
                        "operationId": "read_current_user_users_me_get",

 * <a href="https://codehaus-plexus.github.io/plexus-utils/apidocs/org/codehaus/plexus/util/xml/Xpp3Dom.html">Xpp3Dom</a> for
 * DOM content representation (see <code>&lt;configuration&gt;</code> elements).
 */

rm -rf "${SRC_DIR}" "${INLINED_DIR}" "${DEST_DIR}" && mkdir -p "${SRC_DIR}" "${INLINED_DIR}" "${DEST_DIR}"
for idx in {1..10}; do
	# generate random nr of blocks
	COUNT=$((RANDOM % 100 + 100))
	# generate random content
	dd if=/dev/urandom bs=50K count="${COUNT}" of="${SRC_DIR}"/file"$idx"
done

# create small object that will be inlined into xl.meta
dd if=/dev/urandom bs=50K count=1 of="${INLINED_DIR}"/inlined

            assertTrue(projectDirsWithUnitTests.contains(it), "Contains unit tests: $it")
        }
    }

    private fun containsSrcFileWithString(
        srcRoot: File,
        content: String,
        exceptions: List<String>,
    ): Boolean {
        srcRoot.walkTopDown().forEach { file ->
            if (file.extension == "groovy" || file.extension == "java") {

  var contextPath = $("#contextPath").val();
  var BUTTON_DISABLE_DURATION = 3000;

  var SUGGESTOR_CONFIG = {
    ajaxinfo: {
      url: contextPath + "/api/v1/suggest-words",
      fn: ["_default", "content", "title"],
      num: 10,
      lang: $("#langSearchOption").val()
    },
    boxCssInfo: {
      border: "1px solid rgba(82, 168, 236, 0.5)",