this._isAnimated()\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element)\n    }\n\n    this._element.style.display = 'block'\n    this._element.removeAttribute('aria-hidden')\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n...

        // Session ID
        SMBUtil.writeInt8(0, buffer, bufferIndex + 40);
        // Signature
        System.arraycopy(new byte[16], 0, buffer, bufferIndex + 48, 16);

        // Body starts at bufferIndex + 64
        // Structure size = 2
        SMBUtil.writeInt2(2, buffer, bufferIndex + 64);

        // Decode the response
        int result = response.decode(buffer, bufferIndex);

    while (!closed) {
      readHeader()
      if (!isControlFrame) {
        break
      }
      readControlFrame()
    }
  }

  /**
   * Reads a message body into across one or more frames. Control frames that occur between
   * fragments will be processed. If the message payload is masked this will unmask as it's being
   * processed.
   */
  @Throws(IOException::class)

    }

    /**
     * Writes the message body to the wire format.
     *
     * @param dst the destination buffer
     * @param dstIndex the starting position in the buffer
     * @return number of bytes written
     */
    protected abstract int writeBytesWireFormat(byte[] dst, int dstIndex);

    /**
     * Reads the message body from the wire format.
     *

            // TODO use stream
            try (CurlResponse response = ComponentUtil.getCurlHelper()
                    .post("/_configsync/file")
                    .param("path", dictFile.getPath())
                    .body(FileUtil.readUTF8(file))
                    .execute()) {
                final Map<String, Object> contentMap = response.getContent(OpenSearchCurl.jsonParser());

Dann verwenden wir den Request direkt und extrahieren den Body als `bytes`. Das bedeutet, dass FastAPI nicht einmal versucht, den Request-Payload als JSON zu parsen.

        committer: TensorFlow Release Automation <******@****.***>
        token: ${{ secrets.JENKINS_TOKEN }}
        reviewers: mihaimaruseac,learning-to-play,nitins17
        body: |
          This PR was created by a GitHub Actions workflow to update all the SIG Build-based RBE containers to the most recent containers. See:

                }
            }

            headerBuffer.flip();
            int messageSize = headerBuffer.getInt();

            // Now read the message body
            ByteBuffer messageBuffer = ByteBuffer.allocate(messageSize);
            while (messageBuffer.hasRemaining()) {
                int read = socketChannel.read(messageBuffer);
                if (read < 0) {

	rcfg, err := globalBucketObjectLockSys.Get(bucket)
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	bucketLifecycle, err := lifecycle.ParseLifecycleConfigWithID(r.Body)
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	// Validate the received bucket policy document
	if err = bucketLifecycle.Validate(rcfg); err != nil {

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