} else {
          entry.zombie = true // We can't delete it until the current edit completes.
        }
      }
    }

    /**
     * Returns an unbuffered input stream to read the last committed value, or null if no value has
     * been committed.
     */
    fun newSource(index: Int): Source? {
      synchronized(this@DiskLruCache) {
        check(!done)

      int expectedSize) {
    return new CompactHashSet<>(expectedSize);
  }

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashSet based

	}
	for _, test := range cleantests {
		want := test.path != test.result
		got := pathNeedsClean([]byte(test.path))
		if !got {
			t.Logf("no clean: %q", test.path)
		}
		if want && !got {
			t.Errorf("input: %q, want %v, got %v", test.path, want, got)
		}
	}

     * actually purer. However, in the case of smb we know the
     * wordCount and byteCount. And since every subclass of
     * ServerMessageBlock would have to perform the same read
     * operation on the input stream, we might as will pull that
     * common functionality into the superclass and read wordCount
     * and byteCount worth of data.
     * 
     * We will still use the readXxxWireFormat return values to

		n += wasSpace & ^isSpace
		wasSpace = isSpace
	}

	if setBits >= utf8.RuneSelf {
		// Some runes in the input slice are not ASCII.
		return FieldsFunc(s, unicode.IsSpace)
	}

	// ASCII fast path
	a := make([][]byte, n)
	na := 0
	fieldStart := 0
	i := 0
	// Skip spaces in the front of the input.
	for i < len(s) && asciiSpace[s[i]] != 0 {
		i++
	}
	fieldStart = i
	for i < len(s) {

    tensorflow::ImmediateExecutionTensorHandle* unwrapped_handle =
        tensorflow::unwrap(handles[i]);
    if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
      // One of the inputs we're trying to pack is on a custom device. We'll let
      // the first custom device we see handle all of the packing.
      auto* custom_device_handle =
          tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(

    implements NavigableMap<K, V> {
  /**
   * Returns a {@link Collector} that accumulates elements into an {@code ImmutableSortedMap} whose
   * keys and values are the result of applying the provided mapping functions to the input
   * elements. The generated map is sorted by the specified comparator.
   *
   * <p>If the mapped keys contain duplicates (according to the specified comparator), an {@code

   *   (arg1, arg2) -> arg1 + ":" + arg2)
   * }</pre>
   *
   * <p>will return {@code Stream.of("foo1:bar1", "foo2:bar2")}.
   *
   * <p>The resulting stream will only be as long as the shorter of the two input streams; if one
   * stream is longer, its extra elements will be ignored.
   *
   * <p>Note that if you are calling {@link Stream#forEach} on the resulting stream, you might want

      writer.goAway(lastGoodStreamId, statusCode, EMPTY_BYTE_ARRAY)
    }
  }

  /**
   * Closes this connection. This cancels all open streams and unanswered pings. It closes the
   * underlying input and output streams and shuts down internal task queues.
   */
  override fun close() {
    close(ErrorCode.NO_ERROR, ErrorCode.CANCEL, null)
  }

  internal fun close(
    connectionCode: ErrorCode,

// If the content is valid JSON, the type will still be bytes.
func (v *Value) InferBytesType() (err error) {
	b, ok := v.ToBytes()
	if !ok {
		return fmt.Errorf("InferByteType: Input is not bytes, but %v", v.GetTypeString())
	}

	// Check for numeric inference
	if x, ok := v.bytesToInt(); ok {
		v.setInt(x)
		return nil
	}
	if x, ok := v.bytesToFloat(); ok {
		v.setFloat(x)