if len(s) > len(b) {
		f.err = ErrFieldTooLong
	}
	copy(b, s)
	if len(s) < len(b) {
		b[len(s)] = 0
	}

	// Some buggy readers treat regular files with a trailing slash
	// in the V7 path field as a directory even though the full path
	// recorded elsewhere (e.g., via PAX record) contains no trailing slash.
	if len(s) > len(b) && b[len(b)-1] == '/' {
		n := len(strings.TrimRight(s[:len(b)-1], "/"))

        // Align to 4-byte boundary with a fill value
        ndrBuffer.setIndex(1);
        int alignedBytes = ndrBuffer.align(4, (byte) 0xFF);
        assertEquals(3, alignedBytes); // Should advance by 3 bytes (1 -> 4)
        assertEquals(4, ndrBuffer.getIndex());
        assertEquals(4, ndrBuffer.getLength()); // Length should be updated

        // Verify filled bytes
        assertEquals((byte) 0xFF, buffer[1]);

  private final Comparator<? super T> comparator;

  /*
   * We are currently considering the elements in buffer in the range [0, bufferSize) as candidates
   * for the top k elements. Whenever the buffer is filled, we quickselect the top k elements to the
   * range [0, k) and ignore the remaining elements.
   */
  private final @Nullable T[] buffer;
  private int bufferSize;

  /**

// to have a non-string representation of devices (TF_Device) extracted from
// tensors/ops/etc. and usable in APIs like OpSetDevice/ResetOp/etc.

#define TFE_CUSTOM_DEVICE_VERSION 4

// Struct to be filled in. Functions are required except where indicated.
typedef struct TFE_CustomDevice {
  int version = TFE_CUSTOM_DEVICE_VERSION;
  // Method to copy a tensor to the custom device.

        }
      }
      return false;
    }

    /**
     * If more than this many consecutive positions are filled in a table of the specified size,
     * report probable hash flooding. ({@link #hashFloodingDetected} may also report hash flooding
     * if fewer consecutive positions are filled; see that method for details.)
     */
    static int maxRunBeforeFallback(int tableSize) {

    grant_type: the OAuth2 spec says it is required and MUST be the fixed string "password".
        This dependency is strict about it. If you want to be permissive, use instead the
        OAuth2PasswordRequestForm dependency class.
    username: username string. The OAuth2 spec requires the exact field name "username".
    password: password string. The OAuth2 spec requires the exact field name "password".

//   - BytesScanned => Number of bytes that have been processed before being uncompressed (if the file is compressed).
//   - BytesProcessed => Number of bytes that have been processed after being uncompressed (if the file is compressed).
//   - BytesReturned => Current number of bytes of records payload data returned by S3.
//
// For uncompressed files, BytesScanned and BytesProcessed are equal.
//
// Example:
//

    // We're going to reuse the stimuli array 3^steps times by overwriting it
    // in a recursive loop.  Sneaky.
    if (level == stimuli.length) {
      // We've filled the array.
      compareResultsForThisListOfStimuli();
    } else {
      // Keep recursing to fill the array.
      for (Stimulus<E, ? super I> stimulus : getStimulusValues()) {
        stimuli[level] = stimulus;
        recurse(level + 1);
      }
    }

    // We're going to reuse the stimuli array 3^steps times by overwriting it
    // in a recursive loop.  Sneaky.
    if (level == stimuli.length) {
      // We've filled the array.
      compareResultsForThisListOfStimuli();
    } else {
      // Keep recursing to fill the array.
      for (Stimulus<E, ? super I> stimulus : getStimulusValues()) {
        stimuli[level] = stimulus;
        recurse(level + 1);
      }
    }

      const std::vector<int64_t>& unneeded_gradients,
      absl::Span<AbstractTensorHandle* const> output_gradients,
      absl::Span<AbstractTensorHandle*> result) const override;

  // Builds a tensor filled with ones with the same shape and dtype as `t`.
  absl::Status BuildOnesLike(const TapeTensor& t,
                             AbstractTensorHandle** result) const override;

  // Looks up the ID of a Gradient.