* fit comfortably within a single ethernet packet (1500 bytes) even with framing overhead.
     *
     * For tests this must be big enough to realize real compression on test messages like
     * 'aaaaaaaaaa...'. Our tests check if compression was applied just by looking at the size if
     * the inbound buffer.
     */
    const val DEFAULT_MINIMUM_DEFLATE_SIZE = 1024L

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```

FastAPI is smart enough (actually, Pydantic is smart enough) to realize that, even though `description`, `tax`, and `tags` have the same values as the defaults, they were set explicitly (instead of taken from the defaults).

So, they will be included in the JSON response.

/// tip

Ce chapitre n'est qu'un **tutoriel rapide / rappel** sur les annotations de type Python.
Seulement le minimum nécessaire pour les utiliser avec **FastAPI** sera couvert... ce qui est en réalité très peu.

**FastAPI** est totalement basé sur ces annotations de type, qui lui donnent de nombreux avantages.

create-a-fake-certificate title: How to Create A Fake Certificate Authority And Generate TLS Certs for FastAPI - author: Ben Gamble author_link: https://uk.linkedin.com/in/bengamble7 link: https://ably.com/blog/realtime-ticket-booking-solution-kafka-fastapi-ably title: Building a realtime ticket booking solution with Kafka, FastAPI, and Ably - author: Shahriyar(Shako) Rzayev author_link: https://www.linkedin.com/in/shahriyar-rzayev/ link: https://www.azepug.az/posts/fastapi/#building-simple-e-co...

   * (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);
  }

PSED)) {\n      this.expand()\n    } else {\n      this.collapse()\n    }\n  }\n\n  autoCollapse(resize = false) {\n    if (!this._options.autoCollapseSize) {\n      return\n    }\n\n    const $bodySelector = $(SELECTOR_BODY)\n\n    if ($(window).width() <= this._options.autoCollapseSize) {\n      if (!$bodySelector.hasClass(CLASS_NAME_OPEN)) {\n        this.collapse()\n      }\n    } else if (resize === true) {\n      if ($bodySelector.hasClass(CLASS_NAME_OPEN)) {\n        $bodySelector.removeC...

update the popper position\n * @method\n * @memberof Popper.Utils\n * @private\n */\nexport default function setupEventListeners(\n  reference,\n  options,\n  state,\n  updateBound\n) {\n  // Resize event listener on window\n  state.updateBound = updateBound;\n  getWindow(reference).addEventListener('resize', state.updateBound, { passive: true });\n\n  // Scroll event listener on scroll parents\n  const scrollElement = getScrollParent(reference);\n  attachToScrollParents(\n    scrollElement,\n  ...

p:!0,keyboard:!0,focus:!0,show:!0},ae={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean",show:"boolean"},le={HIDE:"hide"+oe,HIDE_PREVENTED:"hidePrevented"+oe,HIDDEN:"hidden"+oe,SHOW:"show"+oe,SHOWN:"shown"+oe,FOCUSIN:"focusin"+oe,RESIZE:"resize"+oe,CLICK_DISMISS:"click.dismiss"+oe,KEYDOWN_DISMISS:"keydown.dismiss"+oe,MOUSEUP_DISMISS:"mouseup.dismiss"+oe,MOUSEDOWN_DISMISS:"mousedown.dismiss"+oe,CLICK_DATA_API:"click"+oe+".data-api"},ce="modal-dialog-scrollable",he="modal-scrollbar-me...

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...

  }

  TFE_Execute(op_.get(), unwrapped_results.data(), &real_num_outputs, status);
  if (TF_GetCode(status) != TF_OK) {
    cancellation_manager_->StartCancel();
    return;
  }
  unwrapped_results.resize(real_num_outputs);
  outputs->reserve(real_num_outputs);
  for (TFE_TensorHandle* unwrapped_result : unwrapped_results) {
    outputs->emplace_back(unwrapped_result);
  }
}