DCHECK(tf_results->missing_unused_key_names_data.empty());

  size_t size = results.missing_unused_input_map_keys.size();
  tf_results->missing_unused_key_names.resize(size);
  tf_results->missing_unused_key_indexes.resize(size);

  for (int i = 0; i < size; ++i) {
    TensorId id = results.missing_unused_input_map_keys[i];
    tf_results->missing_unused_key_names_data.emplace_back(id.first);

		// or space is needed.
		if s.start > 0 && (s.end == len(s.buf) || s.start > len(s.buf)/2) {
			copy(s.buf, s.buf[s.start:s.end])
			s.end -= s.start
			s.start = 0
		}
		// Is the buffer full? If so, resize.
		if s.end == len(s.buf) {
			// Guarantee no overflow in the multiplication below.
			const maxInt = int(^uint(0) >> 1)
			if len(s.buf) >= s.maxTokenSize || len(s.buf) > maxInt/2 {
				s.setErr(ErrTooLong)

  repeated ContainerStatus ephemeralContainerStatuses = 13;

  // Status of resources resize desired for pod's containers.
  // It is empty if no resources resize is pending.
  // Any changes to container resources will automatically set this to "Proposed"
  // +featureGate=InPlacePodVerticalScaling
  // +optional
  optional string resize = 14;
}

     * (Runtime checks could be particularly bad for users of LegacyConverter.)
     *
     * Luckily, our nullness checker is smart enough to realize that `convert` has @PolyNull-like
     * behavior, so it knows that `convert(a)` returns a non-nullable value, and we don't need to
     * perform even a cast, much less a runtime check.
     *

	// Reply with storage information (across nodes in a
	// distributed setup) as json.
	writeSuccessResponseJSON(w, jsonBytes)
}

// MetricsHandler - GET /minio/admin/v3/metrics
// ----------
// Get realtime server metrics
func (a adminAPIHandlers) MetricsHandler(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	objectAPI, _ := validateAdminReq(ctx, w, r, policy.ServerInfoAdminAction)
	if objectAPI == nil {

    *   Added gradient for `SparseToDense` op.
    *   Expose a flag that allows the number of threads to vary across Python
        benchmarks.
    *   `image.resize` in 2.0 now supports gradients for the new resize kernels.
    *   `image.resize` now considers proper pixel centers and has new kernels
        (incl. anti-aliasing).
    *   Renamed `tf.image` functions to remove duplicate "image" where it is
        redundant.

Ce n'est même pas du Python, NestJS est un framework JavaScript (TypeScript) NodeJS inspiré d'Angular.

Il réalise quelque chose de similaire à ce qui peut être fait avec Flask-apispec.

   *     ({@code ArrayList} documentation calls this value the "capacity")
   * @return a new, empty {@code ArrayList} which is guaranteed not to resize itself unless its size
   *     reaches {@code initialArraySize + 1}
   * @throws IllegalArgumentException if {@code initialArraySize} is negative
   */
  @GwtCompatible(serializable = true)

`hide${EVENT_KEY}`,\n  HIDE_PREVENTED    : `hidePrevented${EVENT_KEY}`,\n  HIDDEN            : `hidden${EVENT_KEY}`,\n  SHOW              : `show${EVENT_KEY}`,\n  SHOWN             : `shown${EVENT_KEY}`,\n  FOCUSIN           : `focusin${EVENT_KEY}`,\n  RESIZE            : `resize${EVENT_KEY}`,\n  CLICK_DISMISS     : `click.dismiss${EVENT_KEY}`,\n  KEYDOWN_DISMISS   : `keydown.dismiss${EVENT_KEY}`,\n  MOUSEUP_DISMISS   : `mouseup.dismiss${EVENT_KEY}`,\n  MOUSEDOWN_DISMISS : `mousedown.dismiss${EVENT_KEY}`,\n  CLICK_DATA_API...

              .on('focusin.daterangepicker', this._outsideClickProxy);

            // Reposition the picker if the window is resized while it's open
            $(window).on('resize.daterangepicker', $.proxy(function(e) { this.move(e); }, this));

            this.oldStartDate = this.startDate.clone();
            this.oldEndDate = this.endDate.clone();