* not used in this API). Since the count of an element is represented as an {@code int}, a multiset
 * may never contain more than {@link Integer#MAX_VALUE} occurrences of any one element.
 *
 * <p>{@code Multiset} refines the specifications of several methods from {@code Collection}. It
 * also defines an additional query operation, {@link #count}, which returns the count of an

 * not used in this API). Since the count of an element is represented as an {@code int}, a multiset
 * may never contain more than {@link Integer#MAX_VALUE} occurrences of any one element.
 *
 * <p>{@code Multiset} refines the specifications of several methods from {@code Collection}. It
 * also defines an additional query operation, {@link #count}, which returns the count of an

TF_Graph::TF_Graph()
    : graph(tensorflow::OpRegistry::Global()),
      refiner(graph.versions().producer(), graph.op_registry()),
      delete_requested(false),
      parent(nullptr),
      parent_inputs(nullptr) {
  // Tell the shape refiner to also run shape inference on functions.
  refiner.set_function_library_for_shape_inference(&graph.flib_def());
}

<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```

</div>

/// note | Nota

El comando `uvicorn main:app` se refiere a:

* `main`: el archivo `main.py` (el "módulo" de Python).
* `app`: el objeto creado dentro de `main.py` con la línea `app = FastAPI()`.

  TF_Buffer op_list;
};

struct TF_Graph {
  TF_Graph();

  mutable tensorflow::mutex mu;
  tensorflow::Graph graph TF_GUARDED_BY(mu);

  // Runs shape inference.
  tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu);

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | Información

`**second_user_data` significa:

Pasa las <abbr title="en español key se refiere a la guía de un diccionario">keys</abbr> y los valores del dict `second_user_data` directamente como argumentos de key-value, equivalente a: `User(id=4, name="Mary", joined="2018-11-30")`

///

### Soporte del editor

INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>Sobre el comando <code>uvicorn main:app --reload</code>...</summary>

El comando `uvicorn main:app` se refiere a:

* `main`: el archivo `main.py` (el"modulo" de Python).
* `app`: el objeto creado dentro de `main.py` con la línea `app = FastAPI()`.

Luego, 🤖 cogerá la primera tarea finalizada (digamos, nuestro "archivo lento" 📝) y continuará con lo que tenía que hacer con esa tarea.

Esa "espera de otra cosa" normalmente se refiere a operaciones <abbr title = "Input and Output, en español: Entrada y Salida.">I/O</abbr> que son relativamente "lentas" (en relación a la velocidad del procesador y memoria RAM), como por ejemplo esperar por:

- Provides a fix to allow a cluster in a private Azure cloud to authenticate to ACR in the same cloud. ([#90425](https://github.com/kubernetes/kubernetes/pull/90425), [@DavidParks8](https://github.com/DavidParks8)) [SIG Cloud Provider]
- Refine aws loadbalancer worker node SG rule logic to be deterministic ([#92224](https://github.com/kubernetes/kubernetes/pull/92224), [@M00nF1sh](https://github.com/M00nF1sh)) [SIG Cloud Provider]

    tracing time), instead of acting like a pseudo-variable whose updates *kind
    of sometimes* get reflected in already-traced `tf.function` traces.
*   Add the `Conv1DTranspose` layer.
*   Refine the semantics of `SensitivitySpecificityBase` derived metrics. See
    the updated API docstrings for