}
            );

            this.resize();
            suggestor = this;
            $(window).resize(function() {
              suggestor.resize();
            });

            $("body").append($boxElement);
          },

          suggest: function() {
            suggestingSts = true;

            this.resize();

            var suggestor = this;

                //ポジション設定
                this.resize();
                var suggestor = this;
                $(window).resize(function() {
                    suggestor.resize();
                });

                $("body").append($boxElement);
            },

            suggest: function() {
                suggestingSts = true;

                //ポジション設定
                this.resize();

                var suggestor = this;

 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger

 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger

  dlm_tensor->dl_tensor.dtype = tf_dlm_type;

  std::vector<int64_t>* shape_arr = &tf_dlm_tensor_ctx->shape;
  std::vector<int64_t>* stride_arr = &tf_dlm_tensor_ctx->strides;
  shape_arr->resize(ndim);
  stride_arr->resize(ndim, 1);
  for (int i = 0; i < ndim; i++) {
    (*shape_arr)[i] = tensor->dim_size(i);
  }
  for (int i = ndim - 2; i >= 0; --i) {
    (*stride_arr)[i] = (*shape_arr)[i + 1] * (*stride_arr)[i + 1];

  outputs_.clear();
  for (TF_Operation* o : outputs) {
    outputs_.emplace_back(TF_Output{o, 0});
  }
  output_values_.resize(outputs_.size());
}

void CSession::SetOutputs(const std::vector<TF_Output>& outputs) {
  ResetOutputValues();
  outputs_ = outputs;
  output_values_.resize(outputs_.size());
}

void CSession::SetTargets(std::initializer_list<TF_Operation*> targets) {
  targets_.clear();

ion(){var e=this,t=n.default("body");t.hasClass(L)||t.hasClass(D)?(n.default(k).not(this._config.target).hide(),n.default(this._config.target).css("display","block")):n.default(k).hide(),this._fixHeight(),this._fixScrollHeight(),n.default(window).resize((function(){e._fixHeight(),e._fixScrollHeight()})),n.default(window).scroll((function(){var t=n.default("body");(t.hasClass(L)||t.hasClass(D))&&e._fixScrollHeight()}))},t._isNavbarFixed=function(){var e=n.default("body");return e.hasClass("layout...

 * function doing a good job of distributing the elements to the buckets to a distribution not far
 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>As compared with {@link java.util.LinkedHashMap}, this structure places significantly reduced
 * load on the garbage collector by only using a constant number of internal objects.
 *

   * (UNSET).
   */
  @VisibleForTesting transient long[] entries;

  /** The load factor. */
  private transient float loadFactor;

  /** When we have this many elements, resize the hashtable. */
  private transient int threshold;

  /** Constructs a new empty instance of {@code ObjectCountHashMap}. */
  ObjectCountHashMap() {
    init(DEFAULT_SIZE, DEFAULT_LOAD_FACTOR);
  }

r||M(n(p.parentNode),t,o,i),i.push(p)}function F(e,t,o,i){o.updateBound=i,A(e).addEventListener('resize',o.updateBound,{passive:!0});var r=n(e);return M(r,'scroll',o.updateBound,o.scrollParents),o.scrollElement=r,o.eventsEnabled=!0,o}function I(){this.state.eventsEnabled||(this.state=F(this.reference,this.options,this.state,this.scheduleUpdate))}function R(e,t){return A(e).removeEventListener('resize',t.updateBound),t.scrollParents.forEach(function(e){e.removeEventListener('scroll',t.updateBound...