continue
        }

        val value = value(i)
        if (result == null) {
          result = TreeSet(String.CASE_INSENSITIVE_ORDER)
        }
        for (varyField in value.split(',')) {
          result.add(varyField.trim())
        }
      }
      return result ?: emptySet()
    }

    /**

        checkStatus(request, response);
    }

    @Override
    public String toString() {
        return super.toString() + "[" + address + ":" + port + "]";
    }

    /* DFS */

    /* Split DFS path like \fs1.example.com\root5\link2\foo\bar.txt into at
     * most 3 components (not including the first index which is always empty):
     * result[0] = ""
     * result[1] = "fs1.example.com"

     */
    assertTrue(
        "Expected elapsed millis to be >= " + expectedMillis + " but was " + elapsedMillis,
        elapsedMillis + 5 >= expectedMillis);
  }

  // TODO(cpovirk): Split this into separate CountDownLatch and IncrementableCountDownLatch classes.

  /** Manages a {@link BlockingQueue} and associated timings for a {@code put} call. */
  private static final class TimedPutQueue {

transition duration is not found\n    if (!floatTransitionDuration && !floatTransitionDelay) {\n      return 0\n    }\n\n    // If multiple durations are defined, take the first\n    transitionDuration = transitionDuration.split(',')[0]\n    transitionDelay = transitionDelay.split(',')[0]\n\n    return (parseFloat(transitionDuration) + parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER\n  },\n\n  reflow(element) {\n    return element.offsetHeight\n  },\n\n  triggerTransitionEnd(element) {\n   ...

    if (!session.isMultiChannelEnabled() || length < 1048576) {  // 1MB threshold
        // Use single channel for small reads
        normalRead(buffer, offset, length);
        return;
    }
    
    // Split large read across multiple channels
    ChannelManager channelManager = session.getChannelManager();
    List<ChannelInfo> channels = channelManager.getHealthyChannels();

ft-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-group-sm>.btn+.dropdown-toggle-split,.btn-sm+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-group-lg>.btn+.dropdown-toggle-split,.btn-lg+.dropdown-toggle-split{padding-right:.75rem;padd...

            if (path == null) {
                parent = "/";
                name = null;
            } else {
                final String[] values = path.replaceAll("/+", "/").replaceFirst("/$", "").split("/");
                if (values.length == 1) {
                    parent = "/";
                    name = null;
                } else if (values.length == 2) {
                    parent = "/";

	if err != nil || numEntries < 0 || int(2*numEntries) < int(numEntries) {
		return nil, ErrHeader
	}

	// There should be two numbers in sparseMap for each entry.
	sparseMap := strings.Split(paxHdrs[paxGNUSparseMap], ",")
	if len(sparseMap) == 1 && sparseMap[0] == "" {
		sparseMap = sparseMap[:0]
	}
	if int64(len(sparseMap)) != 2*numEntries {
		return nil, ErrHeader
	}

    visibility = ["//visibility:public"],
)

# This flag disables generating tensorflow.lite.python under LiteRT repo.
# Avoid using flag for creating tflite wheels as tensorflow/lite is not yet fully split from tf.
config_setting(
    name = "disable_tf_lite_py",
    define_values = {"disable_tf_lite_py": "true"},
    visibility = ["//visibility:public"],
)

# This flag enables experimental MLIR support.

		log.Printf("%s: empty file", filename)
		exitCode = 1
	} else if s[len(s)-1] != '\n' {
		log.Printf("%s: missing final newline", filename)
		exitCode = 1
	}
	s = aliasReplacer.Replace(s)
	lines := strings.Split(s, "\n")
	var nonblank []string
	for i, line := range lines {
		line = strings.TrimSpace(line)
		if line == "" || strings.HasPrefix(line, "#") {
			continue
		}
		if needApproval {